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) 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")+this.eventNamespace,t.unbind(i).undelegate(i),this.bindings=e(this.bindings.not(t).get()),this.focusable=e(this.focusable.not(t).get()),this.hoverable=e(this.hoverable.not(t).get())},_delay:function(e,t){function i(){return("string"==typeof e?s[e]:e).apply(s,arguments)}var s=this;return setTimeout(i,t||0)},_hoverable:function(t){this.hoverable=this.hoverable.add(t),this._on(t,{mouseenter:function(t){e(t.currentTarget).addClass("ui-state-hover")},mouseleave:function(t){e(t.currentTarget).removeClass("ui-state-hover")}})},_focusable:function(t){this.focusable=this.focusable.add(t),this._on(t,{focusin:function(t){e(t.currentTarget).addClass("ui-state-focus")},focusout:function(t){e(t.currentTarget).removeClass("ui-state-focus")}})},_trigger:function(t,i,s){var n,a,o=this.options[t];if(s=s||{},i=e.Event(i),i.type=(t===this.widgetEventPrefix?t:this.widgetEventPrefix+t).toLowerCase(),i.target=this.element[0],a=i.originalEvent)for(n in a)n in i||(i[n]=a[n]);return this.element.trigger(i,s),!(e.isFunction(o)&&o.apply(this.element[0],[i].concat(s))===!1||i.isDefaultPrevented())}},e.each({show:"fadeIn",hide:"fadeOut"},function(t,i){e.Widget.prototype["_"+t]=function(s,n,a){"string"==typeof n&&(n={effect:n});var o,r=n?n===!0||"number"==typeof n?i:n.effect||i:t;n=n||{},"number"==typeof n&&(n={duration:n}),o=!e.isEmptyObject(n),n.complete=a,n.delay&&s.delay(n.delay),o&&e.effects&&e.effects.effect[r]?s[t](n):r!==t&&s[r]?s[r](n.duration,n.easing,a):s.queue(function(i){e(this)[t](),a&&a.call(s[0]),i()})}}),e.widget;var o=!1;e(document).mouseup(function(){o=!1}),e.widget("ui.mouse",{version:"1.11.4",options:{cancel:"input,textarea,button,select,option",distance:1,delay:0},_mouseInit:function(){var t=this;this.element.bind("mousedown."+this.widgetName,function(e){return t._mouseDown(e)}).bind("click."+this.widgetName,function(i){return!0===e.data(i.target,t.widgetName+".preventClickEvent")?(e.removeData(i.target,t.widgetName+".preventClickEvent"),i.stopImmediatePropagation(),!1):void 0}),this.started=!1},_mouseDestroy:function(){this.element.unbind("."+this.widgetName),this._mouseMoveDelegate&&this.document.unbind("mousemove."+this.widgetName,this._mouseMoveDelegate).unbind("mouseup."+this.widgetName,this._mouseUpDelegate)},_mouseDown:function(t){if(!o){this._mouseMoved=!1,this._mouseStarted&&this._mouseUp(t),this._mouseDownEvent=t;var i=this,s=1===t.which,n="string"==typeof this.options.cancel&&t.target.nodeName?e(t.target).closest(this.options.cancel).length:!1;return s&&!n&&this._mouseCapture(t)?(this.mouseDelayMet=!this.options.delay,this.mouseDelayMet||(this._mouseDelayTimer=setTimeout(function(){i.mouseDelayMet=!0},this.options.delay)),this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=this._mouseStart(t)!==!1,!this._mouseStarted)?(t.preventDefault(),!0):(!0===e.data(t.target,this.widgetName+".preventClickEvent")&&e.removeData(t.target,this.widgetName+".preventClickEvent"),this._mouseMoveDelegate=function(e){return i._mouseMove(e)},this._mouseUpDelegate=function(e){return i._mouseUp(e)},this.document.bind("mousemove."+this.widgetName,this._mouseMoveDelegate).bind("mouseup."+this.widgetName,this._mouseUpDelegate),t.preventDefault(),o=!0,!0)):!0}},_mouseMove:function(t){if(this._mouseMoved){if(e.ui.ie&&(!document.documentMode||9>document.documentMode)&&!t.button)return this._mouseUp(t);if(!t.which)return this._mouseUp(t)}return(t.which||t.button)&&(this._mouseMoved=!0),this._mouseStarted?(this._mouseDrag(t),t.preventDefault()):(this._mouseDistanceMet(t)&&this._mouseDelayMet(t)&&(this._mouseStarted=this._mouseStart(this._mouseDownEvent,t)!==!1,this._mouseStarted?this._mouseDrag(t):this._mouseUp(t)),!this._mouseStarted)},_mouseUp:function(t){return this.document.unbind("mousemove."+this.widgetName,this._mouseMoveDelegate).unbind("mouseup."+this.widgetName,this._mouseUpDelegate),this._mouseStarted&&(this._mouseStarted=!1,t.target===this._mouseDownEvent.target&&e.data(t.target,this.widgetName+".preventClickEvent",!0),this._mouseStop(t)),o=!1,!1},_mouseDistanceMet:function(e){return Math.max(Math.abs(this._mouseDownEvent.pageX-e.pageX),Math.abs(this._mouseDownEvent.pageY-e.pageY))>=this.options.distance},_mouseDelayMet:function(){return this.mouseDelayMet},_mouseStart:function(){},_mouseDrag:function(){},_mouseStop:function(){},_mouseCapture:function(){return!0}}),function(){function t(e,t,i){return[parseFloat(e[0])*(p.test(e[0])?t/100:1),parseFloat(e[1])*(p.test(e[1])?i/100:1)]}function i(t,i){return parseInt(e.css(t,i),10)||0}function s(t){var i=t[0];return 9===i.nodeType?{width:t.width(),height:t.height(),offset:{top:0,left:0}}:e.isWindow(i)?{width:t.width(),height:t.height(),offset:{top:t.scrollTop(),left:t.scrollLeft()}}:i.preventDefault?{width:0,height:0,offset:{top:i.pageY,left:i.pageX}}:{width:t.outerWidth(),height:t.outerHeight(),offset:t.offset()}}e.ui=e.ui||{};var n,a,o=Math.max,r=Math.abs,h=Math.round,l=/left|center|right/,u=/top|center|bottom/,d=/[\+\-]\d+(\.[\d]+)?%?/,c=/^\w+/,p=/%$/,f=e.fn.position;e.position={scrollbarWidth:function(){if(void 0!==n)return n;var t,i,s=e("<div style='display:block;position:absolute;width:50px;height:50px;overflow:hidden;'><div style='height:100px;width:auto;'></div></div>"),a=s.children()[0];return e("body").append(s),t=a.offsetWidth,s.css("overflow","scroll"),i=a.offsetWidth,t===i&&(i=s[0].clientWidth),s.remove(),n=t-i},getScrollInfo:function(t){var i=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),s=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),n="scroll"===i||"auto"===i&&t.width<t.element[0].scrollWidth,a="scroll"===s||"auto"===s&&t.height<t.element[0].scrollHeight;return{width:a?e.position.scrollbarWidth():0,height:n?e.position.scrollbarWidth():0}},getWithinInfo:function(t){var i=e(t||window),s=e.isWindow(i[0]),n=!!i[0]&&9===i[0].nodeType;return{element:i,isWindow:s,isDocument:n,offset:i.offset()||{left:0,top:0},scrollLeft:i.scrollLeft(),scrollTop:i.scrollTop(),width:s||n?i.width():i.outerWidth(),height:s||n?i.height():i.outerHeight()}}},e.fn.position=function(n){if(!n||!n.of)return f.apply(this,arguments);n=e.extend({},n);var p,m,g,v,y,b,_=e(n.of),x=e.position.getWithinInfo(n.within),w=e.position.getScrollInfo(x),k=(n.collision||"flip").split(" "),T={};return b=s(_),_[0].preventDefault&&(n.at="left top"),m=b.width,g=b.height,v=b.offset,y=e.extend({},v),e.each(["my","at"],function(){var e,t,i=(n[this]||"").split(" ");1===i.length&&(i=l.test(i[0])?i.concat(["center"]):u.test(i[0])?["center"].concat(i):["center","center"]),i[0]=l.test(i[0])?i[0]:"center",i[1]=u.test(i[1])?i[1]:"center",e=d.exec(i[0]),t=d.exec(i[1]),T[this]=[e?e[0]:0,t?t[0]:0],n[this]=[c.exec(i[0])[0],c.exec(i[1])[0]]}),1===k.length&&(k[1]=k[0]),"right"===n.at[0]?y.left+=m:"center"===n.at[0]&&(y.left+=m/2),"bottom"===n.at[1]?y.top+=g:"center"===n.at[1]&&(y.top+=g/2),p=t(T.at,m,g),y.left+=p[0],y.top+=p[1],this.each(function(){var s,l,u=e(this),d=u.outerWidth(),c=u.outerHeight(),f=i(this,"marginLeft"),b=i(this,"marginTop"),D=d+f+i(this,"marginRight")+w.width,S=c+b+i(this,"marginBottom")+w.height,N=e.extend({},y),M=t(T.my,u.outerWidth(),u.outerHeight());"right"===n.my[0]?N.left-=d:"center"===n.my[0]&&(N.left-=d/2),"bottom"===n.my[1]?N.top-=c:"center"===n.my[1]&&(N.top-=c/2),N.left+=M[0],N.top+=M[1],a||(N.left=h(N.left),N.top=h(N.top)),s={marginLeft:f,marginTop:b},e.each(["left","top"],function(t,i){e.ui.position[k[t]]&&e.ui.position[k[t]][i](N,{targetWidth:m,targetHeight:g,elemWidth:d,elemHeight:c,collisionPosition:s,collisionWidth:D,collisionHeight:S,offset:[p[0]+M[0],p[1]+M[1]],my:n.my,at:n.at,within:x,elem:u})}),n.using&&(l=function(e){var t=v.left-N.left,i=t+m-d,s=v.top-N.top,a=s+g-c,h={target:{element:_,left:v.left,top:v.top,width:m,height:g},element:{element:u,left:N.left,top:N.top,width:d,height:c},horizontal:0>i?"left":t>0?"right":"center",vertical:0>a?"top":s>0?"bottom":"middle"};d>m&&m>r(t+i)&&(h.horizontal="center"),c>g&&g>r(s+a)&&(h.vertical="middle"),h.important=o(r(t),r(i))>o(r(s),r(a))?"horizontal":"vertical",n.using.call(this,e,h)}),u.offset(e.extend(N,{using:l}))})},e.ui.position={fit:{left:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollLeft:s.offset.left,a=s.width,r=e.left-t.collisionPosition.marginLeft,h=n-r,l=r+t.collisionWidth-a-n;t.collisionWidth>a?h>0&&0>=l?(i=e.left+h+t.collisionWidth-a-n,e.left+=h-i):e.left=l>0&&0>=h?n:h>l?n+a-t.collisionWidth:n:h>0?e.left+=h:l>0?e.left-=l:e.left=o(e.left-r,e.left)},top:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollTop:s.offset.top,a=t.within.height,r=e.top-t.collisionPosition.marginTop,h=n-r,l=r+t.collisionHeight-a-n;t.collisionHeight>a?h>0&&0>=l?(i=e.top+h+t.collisionHeight-a-n,e.top+=h-i):e.top=l>0&&0>=h?n:h>l?n+a-t.collisionHeight:n:h>0?e.top+=h:l>0?e.top-=l:e.top=o(e.top-r,e.top)}},flip:{left:function(e,t){var i,s,n=t.within,a=n.offset.left+n.scrollLeft,o=n.width,h=n.isWindow?n.scrollLeft:n.offset.left,l=e.left-t.collisionPosition.marginLeft,u=l-h,d=l+t.collisionWidth-o-h,c="left"===t.my[0]?-t.elemWidth:"right"===t.my[0]?t.elemWidth:0,p="left"===t.at[0]?t.targetWidth:"right"===t.at[0]?-t.targetWidth:0,f=-2*t.offset[0];0>u?(i=e.left+c+p+f+t.collisionWidth-o-a,(0>i||r(u)>i)&&(e.left+=c+p+f)):d>0&&(s=e.left-t.collisionPosition.marginLeft+c+p+f-h,(s>0||d>r(s))&&(e.left+=c+p+f))},top:function(e,t){var i,s,n=t.within,a=n.offset.top+n.scrollTop,o=n.height,h=n.isWindow?n.scrollTop:n.offset.top,l=e.top-t.collisionPosition.marginTop,u=l-h,d=l+t.collisionHeight-o-h,c="top"===t.my[1],p=c?-t.elemHeight:"bottom"===t.my[1]?t.elemHeight:0,f="top"===t.at[1]?t.targetHeight:"bottom"===t.at[1]?-t.targetHeight:0,m=-2*t.offset[1];0>u?(s=e.top+p+f+m+t.collisionHeight-o-a,(0>s||r(u)>s)&&(e.top+=p+f+m)):d>0&&(i=e.top-t.collisionPosition.marginTop+p+f+m-h,(i>0||d>r(i))&&(e.top+=p+f+m))}},flipfit:{left:function(){e.ui.position.flip.left.apply(this,arguments),e.ui.position.fit.left.apply(this,arguments)},top:function(){e.ui.position.flip.top.apply(this,arguments),e.ui.position.fit.top.apply(this,arguments)}}},function(){var t,i,s,n,o,r=document.getElementsByTagName("body")[0],h=document.createElement("div");t=document.createElement(r?"div":"body"),s={visibility:"hidden",width:0,height:0,border:0,margin:0,background:"none"},r&&e.extend(s,{position:"absolute",left:"-1000px",top:"-1000px"});for(o in s)t.style[o]=s[o];t.appendChild(h),i=r||document.documentElement,i.insertBefore(t,i.firstChild),h.style.cssText="position: absolute; left: 10.7432222px;",n=e(h).offset().left,a=n>10&&11>n,t.innerHTML="",i.removeChild(t)}()}(),e.ui.position,e.widget("ui.draggable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this.element.addClass("ui-draggable"),this.options.disabled&&this.element.addClass("ui-draggable-disabled"),this._setHandleClassName(),this._mouseInit()},_setOption:function(e,t){this._super(e,t),"handle"===e&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){return(this.helper||this.element).is(".ui-draggable-dragging")?(this.destroyOnClear=!0,void 0):(this.element.removeClass("ui-draggable ui-draggable-dragging ui-draggable-disabled"),this._removeHandleClassName(),this._mouseDestroy(),void 0)},_mouseCapture:function(t){var i=this.options;return this._blurActiveElement(t),this.helper||i.disabled||e(t.target).closest(".ui-resizable-handle").length>0?!1:(this.handle=this._getHandle(t),this.handle?(this._blockFrames(i.iframeFix===!0?"iframe":i.iframeFix),!0):!1)},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=e(this);return e("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var i=this.document[0];if(this.handleElement.is(t.target))try{i.activeElement&&"body"!==i.activeElement.nodeName.toLowerCase()&&e(i.activeElement).blur()}catch(s){}},_mouseStart:function(t){var i=this.options;return this.helper=this._createHelper(t),this.helper.addClass("ui-draggable-dragging"),this._cacheHelperProportions(),e.ui.ddmanager&&(e.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=this.helper.parents().filter(function(){return"fixed"===e(this).css("position")}).length>0,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,i.cursorAt&&this._adjustOffsetFromHelper(i.cursorAt),this._setContainment(),this._trigger("start",t)===!1?(this._clear(),!1):(this._cacheHelperProportions(),e.ui.ddmanager&&!i.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this._normalizeRightBottom(),this._mouseDrag(t,!0),e.ui.ddmanager&&e.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(e){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:e.pageX-this.offset.left,top:e.pageY-this.offset.top}},_mouseDrag:function(t,i){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!i){var s=this._uiHash();if(this._trigger("drag",t,s)===!1)return this._mouseUp({}),!1;this.position=s.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var i=this,s=!1;return e.ui.ddmanager&&!this.options.dropBehaviour&&(s=e.ui.ddmanager.drop(this,t)),this.dropped&&(s=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!s||"valid"===this.options.revert&&s||this.options.revert===!0||e.isFunction(this.options.revert)&&this.options.revert.call(this.element,s)?e(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){i._trigger("stop",t)!==!1&&i._clear()}):this._trigger("stop",t)!==!1&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),e.ui.ddmanager&&e.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.focus(),e.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp({}):this._clear(),this},_getHandle:function(t){return this.options.handle?!!e(t.target).closest(this.element.find(this.options.handle)).length:!0},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this.handleElement.addClass("ui-draggable-handle")},_removeHandleClassName:function(){this.handleElement.removeClass("ui-draggable-handle")},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper),n=s?e(i.helper.apply(this.element[0],[t])):"clone"===i.helper?this.element.clone().removeAttr("id"):this.element;return n.parents("body").length||n.appendTo("parent"===i.appendTo?this.element[0].parentNode:i.appendTo),s&&n[0]===this.element[0]&&this._setPositionRelative(),n[0]===this.element[0]||/(fixed|absolute)/.test(n.css("position"))||n.css("position","absolute"),n},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(e){return/(html|body)/i.test(e.tagName)||e===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),i=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==i&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),this._isRootNode(this.offsetParent[0])&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var e=this.element.position(),t=this._isRootNode(this.scrollParent[0]);return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+(t?0:this.scrollParent.scrollTop()),left:e.left-(parseInt(this.helper.css("left"),10)||0)+(t?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options,a=this.document[0];return this.relativeContainer=null,n.containment?"window"===n.containment?(this.containment=[e(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,e(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,e(window).scrollLeft()+e(window).width()-this.helperProportions.width-this.margins.left,e(window).scrollTop()+(e(window).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):"document"===n.containment?(this.containment=[0,0,e(a).width()-this.helperProportions.width-this.margins.left,(e(a).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):n.containment.constructor===Array?(this.containment=n.containment,void 0):("parent"===n.containment&&(n.containment=this.helper[0].parentNode),i=e(n.containment),s=i[0],s&&(t=/(scroll|auto)/.test(i.css("overflow")),this.containment=[(parseInt(i.css("borderLeftWidth"),10)||0)+(parseInt(i.css("paddingLeft"),10)||0),(parseInt(i.css("borderTopWidth"),10)||0)+(parseInt(i.css("paddingTop"),10)||0),(t?Math.max(s.scrollWidth,s.offsetWidth):s.offsetWidth)-(parseInt(i.css("borderRightWidth"),10)||0)-(parseInt(i.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(s.scrollHeight,s.offsetHeight):s.offsetHeight)-(parseInt(i.css("borderBottomWidth"),10)||0)-(parseInt(i.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=i),void 0):(this.containment=null,void 0)},_convertPositionTo:function(e,t){t||(t=this.position);var i="absolute"===e?1:-1,s=this._isRootNode(this.scrollParent[0]);return{top:t.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:s?0:this.offset.scroll.top)*i,left:t.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:s?0:this.offset.scroll.left)*i}},_generatePosition:function(e,t){var i,s,n,a,o=this.options,r=this._isRootNode(this.scrollParent[0]),h=e.pageX,l=e.pageY;return r&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),t&&(this.containment&&(this.relativeContainer?(s=this.relativeContainer.offset(),i=[this.containment[0]+s.left,this.containment[1]+s.top,this.containment[2]+s.left,this.containment[3]+s.top]):i=this.containment,e.pageX-this.offset.click.left<i[0]&&(h=i[0]+this.offset.click.left),e.pageY-this.offset.click.top<i[1]&&(l=i[1]+this.offset.click.top),e.pageX-this.offset.click.left>i[2]&&(h=i[2]+this.offset.click.left),e.pageY-this.offset.click.top>i[3]&&(l=i[3]+this.offset.click.top)),o.grid&&(n=o.grid[1]?this.originalPageY+Math.round((l-this.originalPageY)/o.grid[1])*o.grid[1]:this.originalPageY,l=i?n-this.offset.click.top>=i[1]||n-this.offset.click.top>i[3]?n:n-this.offset.click.top>=i[1]?n-o.grid[1]:n+o.grid[1]:n,a=o.grid[0]?this.originalPageX+Math.round((h-this.originalPageX)/o.grid[0])*o.grid[0]:this.originalPageX,h=i?a-this.offset.click.left>=i[0]||a-this.offset.click.left>i[2]?a:a-this.offset.click.left>=i[0]?a-o.grid[0]:a+o.grid[0]:a),"y"===o.axis&&(h=this.originalPageX),"x"===o.axis&&(l=this.originalPageY)),{top:l-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:r?0:this.offset.scroll.top),left:h-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:r?0:this.offset.scroll.left)}},_clear:function(){this.helper.removeClass("ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_normalizeRightBottom:function(){"y"!==this.options.axis&&"auto"!==this.helper.css("right")&&(this.helper.width(this.helper.width()),this.helper.css("right","auto")),"x"!==this.options.axis&&"auto"!==this.helper.css("bottom")&&(this.helper.height(this.helper.height()),this.helper.css("bottom","auto"))},_trigger:function(t,i,s){return s=s||this._uiHash(),e.ui.plugin.call(this,t,[i,s,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),s.offset=this.positionAbs),e.Widget.prototype._trigger.call(this,t,i,s)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),e.ui.plugin.add("draggable","connectToSortable",{start:function(t,i,s){var n=e.extend({},i,{item:s.element});s.sortables=[],e(s.options.connectToSortable).each(function(){var i=e(this).sortable("instance");i&&!i.options.disabled&&(s.sortables.push(i),i.refreshPositions(),i._trigger("activate",t,n))})},stop:function(t,i,s){var n=e.extend({},i,{item:s.element});s.cancelHelperRemoval=!1,e.each(s.sortables,function(){var e=this;e.isOver?(e.isOver=0,s.cancelHelperRemoval=!0,e.cancelHelperRemoval=!1,e._storedCSS={position:e.placeholder.css("position"),top:e.placeholder.css("top"),left:e.placeholder.css("left")},e._mouseStop(t),e.options.helper=e.options._helper):(e.cancelHelperRemoval=!0,e._trigger("deactivate",t,n))})},drag:function(t,i,s){e.each(s.sortables,function(){var n=!1,a=this;a.positionAbs=s.positionAbs,a.helperProportions=s.helperProportions,a.offset.click=s.offset.click,a._intersectsWith(a.containerCache)&&(n=!0,e.each(s.sortables,function(){return this.positionAbs=s.positionAbs,this.helperProportions=s.helperProportions,this.offset.click=s.offset.click,this!==a&&this._intersectsWith(this.containerCache)&&e.contains(a.element[0],this.element[0])&&(n=!1),n })),n?(a.isOver||(a.isOver=1,s._parent=i.helper.parent(),a.currentItem=i.helper.appendTo(a.element).data("ui-sortable-item",!0),a.options._helper=a.options.helper,a.options.helper=function(){return i.helper[0]},t.target=a.currentItem[0],a._mouseCapture(t,!0),a._mouseStart(t,!0,!0),a.offset.click.top=s.offset.click.top,a.offset.click.left=s.offset.click.left,a.offset.parent.left-=s.offset.parent.left-a.offset.parent.left,a.offset.parent.top-=s.offset.parent.top-a.offset.parent.top,s._trigger("toSortable",t),s.dropped=a.element,e.each(s.sortables,function(){this.refreshPositions()}),s.currentItem=s.element,a.fromOutside=s),a.currentItem&&(a._mouseDrag(t),i.position=a.position)):a.isOver&&(a.isOver=0,a.cancelHelperRemoval=!0,a.options._revert=a.options.revert,a.options.revert=!1,a._trigger("out",t,a._uiHash(a)),a._mouseStop(t,!0),a.options.revert=a.options._revert,a.options.helper=a.options._helper,a.placeholder&&a.placeholder.remove(),i.helper.appendTo(s._parent),s._refreshOffsets(t),i.position=s._generatePosition(t,!0),s._trigger("fromSortable",t),s.dropped=!1,e.each(s.sortables,function(){this.refreshPositions()}))})}}),e.ui.plugin.add("draggable","cursor",{start:function(t,i,s){var n=e("body"),a=s.options;n.css("cursor")&&(a._cursor=n.css("cursor")),n.css("cursor",a.cursor)},stop:function(t,i,s){var n=s.options;n._cursor&&e("body").css("cursor",n._cursor)}}),e.ui.plugin.add("draggable","opacity",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("opacity")&&(a._opacity=n.css("opacity")),n.css("opacity",a.opacity)},stop:function(t,i,s){var n=s.options;n._opacity&&e(i.helper).css("opacity",n._opacity)}}),e.ui.plugin.add("draggable","scroll",{start:function(e,t,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,i,s){var n=s.options,a=!1,o=s.scrollParentNotHidden[0],r=s.document[0];o!==r&&"HTML"!==o.tagName?(n.axis&&"x"===n.axis||(s.overflowOffset.top+o.offsetHeight-t.pageY<n.scrollSensitivity?o.scrollTop=a=o.scrollTop+n.scrollSpeed:t.pageY-s.overflowOffset.top<n.scrollSensitivity&&(o.scrollTop=a=o.scrollTop-n.scrollSpeed)),n.axis&&"y"===n.axis||(s.overflowOffset.left+o.offsetWidth-t.pageX<n.scrollSensitivity?o.scrollLeft=a=o.scrollLeft+n.scrollSpeed:t.pageX-s.overflowOffset.left<n.scrollSensitivity&&(o.scrollLeft=a=o.scrollLeft-n.scrollSpeed))):(n.axis&&"x"===n.axis||(t.pageY-e(r).scrollTop()<n.scrollSensitivity?a=e(r).scrollTop(e(r).scrollTop()-n.scrollSpeed):e(window).height()-(t.pageY-e(r).scrollTop())<n.scrollSensitivity&&(a=e(r).scrollTop(e(r).scrollTop()+n.scrollSpeed))),n.axis&&"y"===n.axis||(t.pageX-e(r).scrollLeft()<n.scrollSensitivity?a=e(r).scrollLeft(e(r).scrollLeft()-n.scrollSpeed):e(window).width()-(t.pageX-e(r).scrollLeft())<n.scrollSensitivity&&(a=e(r).scrollLeft(e(r).scrollLeft()+n.scrollSpeed)))),a!==!1&&e.ui.ddmanager&&!n.dropBehaviour&&e.ui.ddmanager.prepareOffsets(s,t)}}),e.ui.plugin.add("draggable","snap",{start:function(t,i,s){var n=s.options;s.snapElements=[],e(n.snap.constructor!==String?n.snap.items||":data(ui-draggable)":n.snap).each(function(){var t=e(this),i=t.offset();this!==s.element[0]&&s.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:i.top,left:i.left})})},drag:function(t,i,s){var n,a,o,r,h,l,u,d,c,p,f=s.options,m=f.snapTolerance,g=i.offset.left,v=g+s.helperProportions.width,y=i.offset.top,b=y+s.helperProportions.height;for(c=s.snapElements.length-1;c>=0;c--)h=s.snapElements[c].left-s.margins.left,l=h+s.snapElements[c].width,u=s.snapElements[c].top-s.margins.top,d=u+s.snapElements[c].height,h-m>v||g>l+m||u-m>b||y>d+m||!e.contains(s.snapElements[c].item.ownerDocument,s.snapElements[c].item)?(s.snapElements[c].snapping&&s.options.snap.release&&s.options.snap.release.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=!1):("inner"!==f.snapMode&&(n=m>=Math.abs(u-b),a=m>=Math.abs(d-y),o=m>=Math.abs(h-v),r=m>=Math.abs(l-g),n&&(i.position.top=s._convertPositionTo("relative",{top:u-s.helperProportions.height,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h-s.helperProportions.width}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l}).left)),p=n||a||o||r,"outer"!==f.snapMode&&(n=m>=Math.abs(u-y),a=m>=Math.abs(d-b),o=m>=Math.abs(h-g),r=m>=Math.abs(l-v),n&&(i.position.top=s._convertPositionTo("relative",{top:u,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d-s.helperProportions.height,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l-s.helperProportions.width}).left)),!s.snapElements[c].snapping&&(n||a||o||r||p)&&s.options.snap.snap&&s.options.snap.snap.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=n||a||o||r||p)}}),e.ui.plugin.add("draggable","stack",{start:function(t,i,s){var n,a=s.options,o=e.makeArray(e(a.stack)).sort(function(t,i){return(parseInt(e(t).css("zIndex"),10)||0)-(parseInt(e(i).css("zIndex"),10)||0)});o.length&&(n=parseInt(e(o[0]).css("zIndex"),10)||0,e(o).each(function(t){e(this).css("zIndex",n+t)}),this.css("zIndex",n+o.length))}}),e.ui.plugin.add("draggable","zIndex",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("zIndex")&&(a._zIndex=n.css("zIndex")),n.css("zIndex",a.zIndex)},stop:function(t,i,s){var n=s.options;n._zIndex&&e(i.helper).css("zIndex",n._zIndex)}}),e.ui.draggable,e.widget("ui.droppable",{version:"1.11.4",widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,i=this.options,s=i.accept;this.isover=!1,this.isout=!0,this.accept=e.isFunction(s)?s:function(e){return e.is(s)},this.proportions=function(){return arguments.length?(t=arguments[0],void 0):t?t:t={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight}},this._addToManager(i.scope),i.addClasses&&this.element.addClass("ui-droppable")},_addToManager:function(t){e.ui.ddmanager.droppables[t]=e.ui.ddmanager.droppables[t]||[],e.ui.ddmanager.droppables[t].push(this)},_splice:function(e){for(var t=0;e.length>t;t++)e[t]===this&&e.splice(t,1)},_destroy:function(){var t=e.ui.ddmanager.droppables[this.options.scope];this._splice(t),this.element.removeClass("ui-droppable ui-droppable-disabled")},_setOption:function(t,i){if("accept"===t)this.accept=e.isFunction(i)?i:function(e){return e.is(i)};else if("scope"===t){var s=e.ui.ddmanager.droppables[this.options.scope];this._splice(s),this._addToManager(i)}this._super(t,i)},_activate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),i&&this._trigger("activate",t,this.ui(i))},_deactivate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),i&&this._trigger("deactivate",t,this.ui(i))},_over:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",t,this.ui(i)))},_out:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",t,this.ui(i)))},_drop:function(t,i){var s=i||e.ui.ddmanager.current,n=!1;return s&&(s.currentItem||s.element)[0]!==this.element[0]?(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var i=e(this).droppable("instance");return i.options.greedy&&!i.options.disabled&&i.options.scope===s.options.scope&&i.accept.call(i.element[0],s.currentItem||s.element)&&e.ui.intersect(s,e.extend(i,{offset:i.element.offset()}),i.options.tolerance,t)?(n=!0,!1):void 0}),n?!1:this.accept.call(this.element[0],s.currentItem||s.element)?(this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",t,this.ui(s)),this.element):!1):!1},ui:function(e){return{draggable:e.currentItem||e.element,helper:e.helper,position:e.position,offset:e.positionAbs}}}),e.ui.intersect=function(){function e(e,t,i){return e>=t&&t+i>e}return function(t,i,s,n){if(!i.offset)return!1;var a=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,r=a+t.helperProportions.width,h=o+t.helperProportions.height,l=i.offset.left,u=i.offset.top,d=l+i.proportions().width,c=u+i.proportions().height;switch(s){case"fit":return a>=l&&d>=r&&o>=u&&c>=h;case"intersect":return a+t.helperProportions.width/2>l&&d>r-t.helperProportions.width/2&&o+t.helperProportions.height/2>u&&c>h-t.helperProportions.height/2;case"pointer":return e(n.pageY,u,i.proportions().height)&&e(n.pageX,l,i.proportions().width);case"touch":return(o>=u&&c>=o||h>=u&&c>=h||u>o&&h>c)&&(a>=l&&d>=a||r>=l&&d>=r||l>a&&r>d);default:return!1}}}(),e.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(t,i){var s,n,a=e.ui.ddmanager.droppables[t.options.scope]||[],o=i?i.type:null,r=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();e:for(s=0;a.length>s;s++)if(!(a[s].options.disabled||t&&!a[s].accept.call(a[s].element[0],t.currentItem||t.element))){for(n=0;r.length>n;n++)if(r[n]===a[s].element[0]){a[s].proportions().height=0;continue e}a[s].visible="none"!==a[s].element.css("display"),a[s].visible&&("mousedown"===o&&a[s]._activate.call(a[s],i),a[s].offset=a[s].element.offset(),a[s].proportions({width:a[s].element[0].offsetWidth,height:a[s].element[0].offsetHeight}))}},drop:function(t,i){var s=!1;return e.each((e.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&e.ui.intersect(t,this,this.options.tolerance,i)&&(s=this._drop.call(this,i)||s),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,i)))}),s},dragStart:function(t,i){t.element.parentsUntil("body").bind("scroll.droppable",function(){t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)})},drag:function(t,i){t.options.refreshPositions&&e.ui.ddmanager.prepareOffsets(t,i),e.each(e.ui.ddmanager.droppables[t.options.scope]||[],function(){if(!this.options.disabled&&!this.greedyChild&&this.visible){var s,n,a,o=e.ui.intersect(t,this,this.options.tolerance,i),r=!o&&this.isover?"isout":o&&!this.isover?"isover":null;r&&(this.options.greedy&&(n=this.options.scope,a=this.element.parents(":data(ui-droppable)").filter(function(){return e(this).droppable("instance").options.scope===n}),a.length&&(s=e(a[0]).droppable("instance"),s.greedyChild="isover"===r)),s&&"isover"===r&&(s.isover=!1,s.isout=!0,s._out.call(s,i)),this[r]=!0,this["isout"===r?"isover":"isout"]=!1,this["isover"===r?"_over":"_out"].call(this,i),s&&"isout"===r&&(s.isout=!1,s.isover=!0,s._over.call(s,i)))}})},dragStop:function(t,i){t.element.parentsUntil("body").unbind("scroll.droppable"),t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)}},e.ui.droppable,e.widget("ui.resizable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(e){return parseInt(e,10)||0},_isNumber:function(e){return!isNaN(parseInt(e,10))},_hasScroll:function(t,i){if("hidden"===e(t).css("overflow"))return!1;var s=i&&"left"===i?"scrollLeft":"scrollTop",n=!1;return t[s]>0?!0:(t[s]=1,n=t[s]>0,t[s]=0,n)},_create:function(){var t,i,s,n,a,o=this,r=this.options;if(this.element.addClass("ui-resizable"),e.extend(this,{_aspectRatio:!!r.aspectRatio,aspectRatio:r.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:r.helper||r.ghost||r.animate?r.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(e("<div class='ui-wrapper' style='overflow: hidden;'></div>").css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=r.handles||(e(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=e(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),t=this.handles.split(","),this.handles={},i=0;t.length>i;i++)s=e.trim(t[i]),a="ui-resizable-"+s,n=e("<div class='ui-resizable-handle "+a+"'></div>"),n.css({zIndex:r.zIndex}),"se"===s&&n.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[s]=".ui-resizable-"+s,this.element.append(n);this._renderAxis=function(t){var i,s,n,a;t=t||this.element;for(i in this.handles)this.handles[i].constructor===String?this.handles[i]=this.element.children(this.handles[i]).first().show():(this.handles[i].jquery||this.handles[i].nodeType)&&(this.handles[i]=e(this.handles[i]),this._on(this.handles[i],{mousedown:o._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(s=e(this.handles[i],this.element),a=/sw|ne|nw|se|n|s/.test(i)?s.outerHeight():s.outerWidth(),n=["padding",/ne|nw|n/.test(i)?"Top":/se|sw|s/.test(i)?"Bottom":/^e$/.test(i)?"Right":"Left"].join(""),t.css(n,a),this._proportionallyResize()),this._handles=this._handles.add(this.handles[i])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.mouseover(function(){o.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),o.axis=n&&n[1]?n[1]:"se")}),r.autoHide&&(this._handles.hide(),e(this.element).addClass("ui-resizable-autohide").mouseenter(function(){r.disabled||(e(this).removeClass("ui-resizable-autohide"),o._handles.show())}).mouseleave(function(){r.disabled||o.resizing||(e(this).addClass("ui-resizable-autohide"),o._handles.hide())})),this._mouseInit()},_destroy:function(){this._mouseDestroy();var t,i=function(t){e(t).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").removeData("ui-resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};return this.elementIsWrapper&&(i(this.element),t=this.element,this.originalElement.css({position:t.css("position"),width:t.outerWidth(),height:t.outerHeight(),top:t.css("top"),left:t.css("left")}).insertAfter(t),t.remove()),this.originalElement.css("resize",this.originalResizeStyle),i(this.originalElement),this},_mouseCapture:function(t){var i,s,n=!1;for(i in this.handles)s=e(this.handles[i])[0],(s===t.target||e.contains(s,t.target))&&(n=!0);return!this.options.disabled&&n},_mouseStart:function(t){var i,s,n,a=this.options,o=this.element;return this.resizing=!0,this._renderProxy(),i=this._num(this.helper.css("left")),s=this._num(this.helper.css("top")),a.containment&&(i+=e(a.containment).scrollLeft()||0,s+=e(a.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:i,top:s},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:o.width(),height:o.height()},this.originalSize=this._helper?{width:o.outerWidth(),height:o.outerHeight()}:{width:o.width(),height:o.height()},this.sizeDiff={width:o.outerWidth()-o.width(),height:o.outerHeight()-o.height()},this.originalPosition={left:i,top:s},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof a.aspectRatio?a.aspectRatio:this.originalSize.width/this.originalSize.height||1,n=e(".ui-resizable-"+this.axis).css("cursor"),e("body").css("cursor","auto"===n?this.axis+"-resize":n),o.addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var i,s,n=this.originalMousePosition,a=this.axis,o=t.pageX-n.left||0,r=t.pageY-n.top||0,h=this._change[a];return this._updatePrevProperties(),h?(i=h.apply(this,[t,o,r]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(i=this._updateRatio(i,t)),i=this._respectSize(i,t),this._updateCache(i),this._propagate("resize",t),s=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),e.isEmptyObject(s)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges()),!1):!1},_mouseStop:function(t){this.resizing=!1;var i,s,n,a,o,r,h,l=this.options,u=this;return this._helper&&(i=this._proportionallyResizeElements,s=i.length&&/textarea/i.test(i[0].nodeName),n=s&&this._hasScroll(i[0],"left")?0:u.sizeDiff.height,a=s?0:u.sizeDiff.width,o={width:u.helper.width()-a,height:u.helper.height()-n},r=parseInt(u.element.css("left"),10)+(u.position.left-u.originalPosition.left)||null,h=parseInt(u.element.css("top"),10)+(u.position.top-u.originalPosition.top)||null,l.animate||this.element.css(e.extend(o,{top:h,left:r})),u.helper.height(u.size.height),u.helper.width(u.size.width),this._helper&&!l.animate&&this._proportionallyResize()),e("body").css("cursor","auto"),this.element.removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var e={};return this.position.top!==this.prevPosition.top&&(e.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(e.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(e.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(e.height=this.size.height+"px"),this.helper.css(e),e},_updateVirtualBoundaries:function(e){var t,i,s,n,a,o=this.options;a={minWidth:this._isNumber(o.minWidth)?o.minWidth:0,maxWidth:this._isNumber(o.maxWidth)?o.maxWidth:1/0,minHeight:this._isNumber(o.minHeight)?o.minHeight:0,maxHeight:this._isNumber(o.maxHeight)?o.maxHeight:1/0},(this._aspectRatio||e)&&(t=a.minHeight*this.aspectRatio,s=a.minWidth/this.aspectRatio,i=a.maxHeight*this.aspectRatio,n=a.maxWidth/this.aspectRatio,t>a.minWidth&&(a.minWidth=t),s>a.minHeight&&(a.minHeight=s),a.maxWidth>i&&(a.maxWidth=i),a.maxHeight>n&&(a.maxHeight=n)),this._vBoundaries=a},_updateCache:function(e){this.offset=this.helper.offset(),this._isNumber(e.left)&&(this.position.left=e.left),this._isNumber(e.top)&&(this.position.top=e.top),this._isNumber(e.height)&&(this.size.height=e.height),this._isNumber(e.width)&&(this.size.width=e.width)},_updateRatio:function(e){var t=this.position,i=this.size,s=this.axis;return this._isNumber(e.height)?e.width=e.height*this.aspectRatio:this._isNumber(e.width)&&(e.height=e.width/this.aspectRatio),"sw"===s&&(e.left=t.left+(i.width-e.width),e.top=null),"nw"===s&&(e.top=t.top+(i.height-e.height),e.left=t.left+(i.width-e.width)),e},_respectSize:function(e){var t=this._vBoundaries,i=this.axis,s=this._isNumber(e.width)&&t.maxWidth&&t.maxWidth<e.width,n=this._isNumber(e.height)&&t.maxHeight&&t.maxHeight<e.height,a=this._isNumber(e.width)&&t.minWidth&&t.minWidth>e.width,o=this._isNumber(e.height)&&t.minHeight&&t.minHeight>e.height,r=this.originalPosition.left+this.originalSize.width,h=this.position.top+this.size.height,l=/sw|nw|w/.test(i),u=/nw|ne|n/.test(i);return a&&(e.width=t.minWidth),o&&(e.height=t.minHeight),s&&(e.width=t.maxWidth),n&&(e.height=t.maxHeight),a&&l&&(e.left=r-t.minWidth),s&&l&&(e.left=r-t.maxWidth),o&&u&&(e.top=h-t.minHeight),n&&u&&(e.top=h-t.maxHeight),e.width||e.height||e.left||!e.top?e.width||e.height||e.top||!e.left||(e.left=null):e.top=null,e},_getPaddingPlusBorderDimensions:function(e){for(var t=0,i=[],s=[e.css("borderTopWidth"),e.css("borderRightWidth"),e.css("borderBottomWidth"),e.css("borderLeftWidth")],n=[e.css("paddingTop"),e.css("paddingRight"),e.css("paddingBottom"),e.css("paddingLeft")];4>t;t++)i[t]=parseInt(s[t],10)||0,i[t]+=parseInt(n[t],10)||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var e,t=0,i=this.helper||this.element;this._proportionallyResizeElements.length>t;t++)e=this._proportionallyResizeElements[t],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(e)),e.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,i=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||e("<div style='overflow:hidden;'></div>"),this.helper.addClass(this._helper).css({width:this.element.outerWidth()-1,height:this.element.outerHeight()-1,position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++i.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(e,t){return{width:this.originalSize.width+t}},w:function(e,t){var i=this.originalSize,s=this.originalPosition;return{left:s.left+t,width:i.width-t}},n:function(e,t,i){var s=this.originalSize,n=this.originalPosition;return{top:n.top+i,height:s.height-i}},s:function(e,t,i){return{height:this.originalSize.height+i}},se:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},sw:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,i,s]))},ne:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},nw:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,i,s]))}},_propagate:function(t,i){e.ui.plugin.call(this,t,[i,this.ui()]),"resize"!==t&&this._trigger(t,i,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),e.ui.plugin.add("resizable","animate",{stop:function(t){var i=e(this).resizable("instance"),s=i.options,n=i._proportionallyResizeElements,a=n.length&&/textarea/i.test(n[0].nodeName),o=a&&i._hasScroll(n[0],"left")?0:i.sizeDiff.height,r=a?0:i.sizeDiff.width,h={width:i.size.width-r,height:i.size.height-o},l=parseInt(i.element.css("left"),10)+(i.position.left-i.originalPosition.left)||null,u=parseInt(i.element.css("top"),10)+(i.position.top-i.originalPosition.top)||null;i.element.animate(e.extend(h,u&&l?{top:u,left:l}:{}),{duration:s.animateDuration,easing:s.animateEasing,step:function(){var s={width:parseInt(i.element.css("width"),10),height:parseInt(i.element.css("height"),10),top:parseInt(i.element.css("top"),10),left:parseInt(i.element.css("left"),10)};n&&n.length&&e(n[0]).css({width:s.width,height:s.height}),i._updateCache(s),i._propagate("resize",t)}})}}),e.ui.plugin.add("resizable","containment",{start:function(){var t,i,s,n,a,o,r,h=e(this).resizable("instance"),l=h.options,u=h.element,d=l.containment,c=d instanceof e?d.get(0):/parent/.test(d)?u.parent().get(0):d;c&&(h.containerElement=e(c),/document/.test(d)||d===document?(h.containerOffset={left:0,top:0},h.containerPosition={left:0,top:0},h.parentData={element:e(document),left:0,top:0,width:e(document).width(),height:e(document).height()||document.body.parentNode.scrollHeight}):(t=e(c),i=[],e(["Top","Right","Left","Bottom"]).each(function(e,s){i[e]=h._num(t.css("padding"+s))}),h.containerOffset=t.offset(),h.containerPosition=t.position(),h.containerSize={height:t.innerHeight()-i[3],width:t.innerWidth()-i[1]},s=h.containerOffset,n=h.containerSize.height,a=h.containerSize.width,o=h._hasScroll(c,"left")?c.scrollWidth:a,r=h._hasScroll(c)?c.scrollHeight:n,h.parentData={element:c,left:s.left,top:s.top,width:o,height:r}))},resize:function(t){var i,s,n,a,o=e(this).resizable("instance"),r=o.options,h=o.containerOffset,l=o.position,u=o._aspectRatio||t.shiftKey,d={top:0,left:0},c=o.containerElement,p=!0;c[0]!==document&&/static/.test(c.css("position"))&&(d=h),l.left<(o._helper?h.left:0)&&(o.size.width=o.size.width+(o._helper?o.position.left-h.left:o.position.left-d.left),u&&(o.size.height=o.size.width/o.aspectRatio,p=!1),o.position.left=r.helper?h.left:0),l.top<(o._helper?h.top:0)&&(o.size.height=o.size.height+(o._helper?o.position.top-h.top:o.position.top),u&&(o.size.width=o.size.height*o.aspectRatio,p=!1),o.position.top=o._helper?h.top:0),n=o.containerElement.get(0)===o.element.parent().get(0),a=/relative|absolute/.test(o.containerElement.css("position")),n&&a?(o.offset.left=o.parentData.left+o.position.left,o.offset.top=o.parentData.top+o.position.top):(o.offset.left=o.element.offset().left,o.offset.top=o.element.offset().top),i=Math.abs(o.sizeDiff.width+(o._helper?o.offset.left-d.left:o.offset.left-h.left)),s=Math.abs(o.sizeDiff.height+(o._helper?o.offset.top-d.top:o.offset.top-h.top)),i+o.size.width>=o.parentData.width&&(o.size.width=o.parentData.width-i,u&&(o.size.height=o.size.width/o.aspectRatio,p=!1)),s+o.size.height>=o.parentData.height&&(o.size.height=o.parentData.height-s,u&&(o.size.width=o.size.height*o.aspectRatio,p=!1)),p||(o.position.left=o.prevPosition.left,o.position.top=o.prevPosition.top,o.size.width=o.prevSize.width,o.size.height=o.prevSize.height)},stop:function(){var t=e(this).resizable("instance"),i=t.options,s=t.containerOffset,n=t.containerPosition,a=t.containerElement,o=e(t.helper),r=o.offset(),h=o.outerWidth()-t.sizeDiff.width,l=o.outerHeight()-t.sizeDiff.height;t._helper&&!i.animate&&/relative/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l}),t._helper&&!i.animate&&/static/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l})}}),e.ui.plugin.add("resizable","alsoResize",{start:function(){var t=e(this).resizable("instance"),i=t.options;e(i.alsoResize).each(function(){var t=e(this);t.data("ui-resizable-alsoresize",{width:parseInt(t.width(),10),height:parseInt(t.height(),10),left:parseInt(t.css("left"),10),top:parseInt(t.css("top"),10)})})},resize:function(t,i){var s=e(this).resizable("instance"),n=s.options,a=s.originalSize,o=s.originalPosition,r={height:s.size.height-a.height||0,width:s.size.width-a.width||0,top:s.position.top-o.top||0,left:s.position.left-o.left||0};e(n.alsoResize).each(function(){var t=e(this),s=e(this).data("ui-resizable-alsoresize"),n={},a=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];e.each(a,function(e,t){var i=(s[t]||0)+(r[t]||0);i&&i>=0&&(n[t]=i||null)}),t.css(n)})},stop:function(){e(this).removeData("resizable-alsoresize")}}),e.ui.plugin.add("resizable","ghost",{start:function(){var t=e(this).resizable("instance"),i=t.options,s=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:s.height,width:s.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass("string"==typeof i.ghost?i.ghost:""),t.ghost.appendTo(t.helper)},resize:function(){var t=e(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=e(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),e.ui.plugin.add("resizable","grid",{resize:function(){var t,i=e(this).resizable("instance"),s=i.options,n=i.size,a=i.originalSize,o=i.originalPosition,r=i.axis,h="number"==typeof s.grid?[s.grid,s.grid]:s.grid,l=h[0]||1,u=h[1]||1,d=Math.round((n.width-a.width)/l)*l,c=Math.round((n.height-a.height)/u)*u,p=a.width+d,f=a.height+c,m=s.maxWidth&&p>s.maxWidth,g=s.maxHeight&&f>s.maxHeight,v=s.minWidth&&s.minWidth>p,y=s.minHeight&&s.minHeight>f;s.grid=h,v&&(p+=l),y&&(f+=u),m&&(p-=l),g&&(f-=u),/^(se|s|e)$/.test(r)?(i.size.width=p,i.size.height=f):/^(ne)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.top=o.top-c):/^(sw)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.left=o.left-d):((0>=f-u||0>=p-l)&&(t=i._getPaddingPlusBorderDimensions(this)),f-u>0?(i.size.height=f,i.position.top=o.top-c):(f=u-t.height,i.size.height=f,i.position.top=o.top+a.height-f),p-l>0?(i.size.width=p,i.position.left=o.left-d):(p=l-t.width,i.size.width=p,i.position.left=o.left+a.width-p))}}),e.ui.resizable,e.widget("ui.selectable",e.ui.mouse,{version:"1.11.4",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var t,i=this;this.element.addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){t=e(i.options.filter,i.element[0]),t.addClass("ui-selectee"),t.each(function(){var t=e(this),i=t.offset();e.data(this,"selectable-item",{element:this,$element:t,left:i.left,top:i.top,right:i.left+t.outerWidth(),bottom:i.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this.selectees=t.addClass("ui-selectee"),this._mouseInit(),this.helper=e("<div class='ui-selectable-helper'></div>")},_destroy:function(){this.selectees.removeClass("ui-selectee").removeData("selectable-item"),this.element.removeClass("ui-selectable ui-selectable-disabled"),this._mouseDestroy()},_mouseStart:function(t){var i=this,s=this.options;this.opos=[t.pageX,t.pageY],this.options.disabled||(this.selectees=e(s.filter,this.element[0]),this._trigger("start",t),e(s.appendTo).append(this.helper),this.helper.css({left:t.pageX,top:t.pageY,width:0,height:0}),s.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var s=e.data(this,"selectable-item");s.startselected=!0,t.metaKey||t.ctrlKey||(s.$element.removeClass("ui-selected"),s.selected=!1,s.$element.addClass("ui-unselecting"),s.unselecting=!0,i._trigger("unselecting",t,{unselecting:s.element}))}),e(t.target).parents().addBack().each(function(){var s,n=e.data(this,"selectable-item");return n?(s=!t.metaKey&&!t.ctrlKey||!n.$element.hasClass("ui-selected"),n.$element.removeClass(s?"ui-unselecting":"ui-selected").addClass(s?"ui-selecting":"ui-unselecting"),n.unselecting=!s,n.selecting=s,n.selected=s,s?i._trigger("selecting",t,{selecting:n.element}):i._trigger("unselecting",t,{unselecting:n.element}),!1):void 0}))},_mouseDrag:function(t){if(this.dragged=!0,!this.options.disabled){var i,s=this,n=this.options,a=this.opos[0],o=this.opos[1],r=t.pageX,h=t.pageY;return a>r&&(i=r,r=a,a=i),o>h&&(i=h,h=o,o=i),this.helper.css({left:a,top:o,width:r-a,height:h-o}),this.selectees.each(function(){var i=e.data(this,"selectable-item"),l=!1; i&&i.element!==s.element[0]&&("touch"===n.tolerance?l=!(i.left>r||a>i.right||i.top>h||o>i.bottom):"fit"===n.tolerance&&(l=i.left>a&&r>i.right&&i.top>o&&h>i.bottom),l?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,s._trigger("selecting",t,{selecting:i.element}))):(i.selecting&&((t.metaKey||t.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),s._trigger("unselecting",t,{unselecting:i.element}))),i.selected&&(t.metaKey||t.ctrlKey||i.startselected||(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,s._trigger("unselecting",t,{unselecting:i.element})))))}),!1}},_mouseStop:function(t){var i=this;return this.dragged=!1,e(".ui-unselecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-unselecting"),s.unselecting=!1,s.startselected=!1,i._trigger("unselected",t,{unselected:s.element})}),e(".ui-selecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-selecting").addClass("ui-selected"),s.selecting=!1,s.selected=!0,s.startselected=!0,i._trigger("selected",t,{selected:s.element})}),this._trigger("stop",t),this.helper.remove(),!1}}),e.widget("ui.sortable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(e,t,i){return e>=t&&t+i>e},_isFloating:function(e){return/left|right/.test(e.css("float"))||/inline|table-cell/.test(e.css("display"))},_create:function(){this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(e,t){this._super(e,t),"handle"===e&&this._setHandleClassName()},_setHandleClassName:function(){this.element.find(".ui-sortable-handle").removeClass("ui-sortable-handle"),e.each(this.items,function(){(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item).addClass("ui-sortable-handle")})},_destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled").find(".ui-sortable-handle").removeClass("ui-sortable-handle"),this._mouseDestroy();for(var e=this.items.length-1;e>=0;e--)this.items[e].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,i){var s=null,n=!1,a=this;return this.reverting?!1:this.options.disabled||"static"===this.options.type?!1:(this._refreshItems(t),e(t.target).parents().each(function(){return e.data(this,a.widgetName+"-item")===a?(s=e(this),!1):void 0}),e.data(t.target,a.widgetName+"-item")===a&&(s=e(t.target)),s?!this.options.handle||i||(e(this.options.handle,s).find("*").addBack().each(function(){this===t.target&&(n=!0)}),n)?(this.currentItem=s,this._removeCurrentsFromItems(),!0):!1:!1)},_mouseStart:function(t,i,s){var n,a,o=this.options;if(this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},e.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(a=this.document.find("body"),this.storedCursor=a.css("cursor"),a.css("cursor",o.cursor),this.storedStylesheet=e("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(a)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!s)for(n=this.containers.length-1;n>=0;n--)this.containers[n]._trigger("activate",t,this._uiHash(this));return e.ui.ddmanager&&(e.ui.ddmanager.current=this),e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(t),!0},_mouseDrag:function(t){var i,s,n,a,o=this.options,r=!1;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs),this.options.scroll&&(this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<o.scrollSensitivity?this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop+o.scrollSpeed:t.pageY-this.overflowOffset.top<o.scrollSensitivity&&(this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop-o.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<o.scrollSensitivity?this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft+o.scrollSpeed:t.pageX-this.overflowOffset.left<o.scrollSensitivity&&(this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft-o.scrollSpeed)):(t.pageY-this.document.scrollTop()<o.scrollSensitivity?r=this.document.scrollTop(this.document.scrollTop()-o.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<o.scrollSensitivity&&(r=this.document.scrollTop(this.document.scrollTop()+o.scrollSpeed)),t.pageX-this.document.scrollLeft()<o.scrollSensitivity?r=this.document.scrollLeft(this.document.scrollLeft()-o.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<o.scrollSensitivity&&(r=this.document.scrollLeft(this.document.scrollLeft()+o.scrollSpeed))),r!==!1&&e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t)),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),i=this.items.length-1;i>=0;i--)if(s=this.items[i],n=s.item[0],a=this._intersectsWithPointer(s),a&&s.instance===this.currentContainer&&n!==this.currentItem[0]&&this.placeholder[1===a?"next":"prev"]()[0]!==n&&!e.contains(this.placeholder[0],n)&&("semi-dynamic"===this.options.type?!e.contains(this.element[0],n):!0)){if(this.direction=1===a?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(s))break;this._rearrange(t,s),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,i){if(t){if(e.ui.ddmanager&&!this.options.dropBehaviour&&e.ui.ddmanager.drop(this,t),this.options.revert){var s=this,n=this.placeholder.offset(),a=this.options.axis,o={};a&&"x"!==a||(o.left=n.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),a&&"y"!==a||(o.top=n.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,e(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){s._clear(t)})}else this._clear(t,i);return!1}},cancel:function(){if(this.dragging){this._mouseUp({target:null}),"original"===this.options.helper?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var t=this.containers.length-1;t>=0;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),e.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?e(this.domPosition.prev).after(this.currentItem):e(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},e(i).each(function(){var i=(e(t.item||this).attr(t.attribute||"id")||"").match(t.expression||/(.+)[\-=_](.+)/);i&&s.push((t.key||i[1]+"[]")+"="+(t.key&&t.expression?i[1]:i[2]))}),!s.length&&t.key&&s.push(t.key+"="),s.join("&")},toArray:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},i.each(function(){s.push(e(t.item||this).attr(t.attribute||"id")||"")}),s},_intersectsWith:function(e){var t=this.positionAbs.left,i=t+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,a=e.left,o=a+e.width,r=e.top,h=r+e.height,l=this.offset.click.top,u=this.offset.click.left,d="x"===this.options.axis||s+l>r&&h>s+l,c="y"===this.options.axis||t+u>a&&o>t+u,p=d&&c;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>e[this.floating?"width":"height"]?p:t+this.helperProportions.width/2>a&&o>i-this.helperProportions.width/2&&s+this.helperProportions.height/2>r&&h>n-this.helperProportions.height/2},_intersectsWithPointer:function(e){var t="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top,e.height),i="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left,e.width),s=t&&i,n=this._getDragVerticalDirection(),a=this._getDragHorizontalDirection();return s?this.floating?a&&"right"===a||"down"===n?2:1:n&&("down"===n?2:1):!1},_intersectsWithSides:function(e){var t=this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top+e.height/2,e.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left+e.width/2,e.width),s=this._getDragVerticalDirection(),n=this._getDragHorizontalDirection();return this.floating&&n?"right"===n&&i||"left"===n&&!i:s&&("down"===s&&t||"up"===s&&!t)},_getDragVerticalDirection:function(){var e=this.positionAbs.top-this.lastPositionAbs.top;return 0!==e&&(e>0?"down":"up")},_getDragHorizontalDirection:function(){var e=this.positionAbs.left-this.lastPositionAbs.left;return 0!==e&&(e>0?"right":"left")},refresh:function(e){return this._refreshItems(e),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var e=this.options;return e.connectWith.constructor===String?[e.connectWith]:e.connectWith},_getItemsAsjQuery:function(t){function i(){r.push(this)}var s,n,a,o,r=[],h=[],l=this._connectWith();if(l&&t)for(s=l.length-1;s>=0;s--)for(a=e(l[s],this.document[0]),n=a.length-1;n>=0;n--)o=e.data(a[n],this.widgetFullName),o&&o!==this&&!o.options.disabled&&h.push([e.isFunction(o.options.items)?o.options.items.call(o.element):e(o.options.items,o.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),o]);for(h.push([e.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):e(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),s=h.length-1;s>=0;s--)h[s][0].each(i);return e(r)},_removeCurrentsFromItems:function(){var t=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=e.grep(this.items,function(e){for(var i=0;t.length>i;i++)if(t[i]===e.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var i,s,n,a,o,r,h,l,u=this.items,d=[[e.isFunction(this.options.items)?this.options.items.call(this.element[0],t,{item:this.currentItem}):e(this.options.items,this.element),this]],c=this._connectWith();if(c&&this.ready)for(i=c.length-1;i>=0;i--)for(n=e(c[i],this.document[0]),s=n.length-1;s>=0;s--)a=e.data(n[s],this.widgetFullName),a&&a!==this&&!a.options.disabled&&(d.push([e.isFunction(a.options.items)?a.options.items.call(a.element[0],t,{item:this.currentItem}):e(a.options.items,a.element),a]),this.containers.push(a));for(i=d.length-1;i>=0;i--)for(o=d[i][1],r=d[i][0],s=0,l=r.length;l>s;s++)h=e(r[s]),h.data(this.widgetName+"-item",o),u.push({item:h,instance:o,width:0,height:0,left:0,top:0})},refreshPositions:function(t){this.floating=this.items.length?"x"===this.options.axis||this._isFloating(this.items[0].item):!1,this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());var i,s,n,a;for(i=this.items.length-1;i>=0;i--)s=this.items[i],s.instance!==this.currentContainer&&this.currentContainer&&s.item[0]!==this.currentItem[0]||(n=this.options.toleranceElement?e(this.options.toleranceElement,s.item):s.item,t||(s.width=n.outerWidth(),s.height=n.outerHeight()),a=n.offset(),s.left=a.left,s.top=a.top);if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(i=this.containers.length-1;i>=0;i--)a=this.containers[i].element.offset(),this.containers[i].containerCache.left=a.left,this.containers[i].containerCache.top=a.top,this.containers[i].containerCache.width=this.containers[i].element.outerWidth(),this.containers[i].containerCache.height=this.containers[i].element.outerHeight();return this},_createPlaceholder:function(t){t=t||this;var i,s=t.options;s.placeholder&&s.placeholder.constructor!==String||(i=s.placeholder,s.placeholder={element:function(){var s=t.currentItem[0].nodeName.toLowerCase(),n=e("<"+s+">",t.document[0]).addClass(i||t.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper");return"tbody"===s?t._createTrPlaceholder(t.currentItem.find("tr").eq(0),e("<tr>",t.document[0]).appendTo(n)):"tr"===s?t._createTrPlaceholder(t.currentItem,n):"img"===s&&n.attr("src",t.currentItem.attr("src")),i||n.css("visibility","hidden"),n},update:function(e,n){(!i||s.forcePlaceholderSize)&&(n.height()||n.height(t.currentItem.innerHeight()-parseInt(t.currentItem.css("paddingTop")||0,10)-parseInt(t.currentItem.css("paddingBottom")||0,10)),n.width()||n.width(t.currentItem.innerWidth()-parseInt(t.currentItem.css("paddingLeft")||0,10)-parseInt(t.currentItem.css("paddingRight")||0,10)))}}),t.placeholder=e(s.placeholder.element.call(t.element,t.currentItem)),t.currentItem.after(t.placeholder),s.placeholder.update(t,t.placeholder)},_createTrPlaceholder:function(t,i){var s=this;t.children().each(function(){e("<td> </td>",s.document[0]).attr("colspan",e(this).attr("colspan")||1).appendTo(i)})},_contactContainers:function(t){var i,s,n,a,o,r,h,l,u,d,c=null,p=null;for(i=this.containers.length-1;i>=0;i--)if(!e.contains(this.currentItem[0],this.containers[i].element[0]))if(this._intersectsWith(this.containers[i].containerCache)){if(c&&e.contains(this.containers[i].element[0],c.element[0]))continue;c=this.containers[i],p=i}else this.containers[i].containerCache.over&&(this.containers[i]._trigger("out",t,this._uiHash(this)),this.containers[i].containerCache.over=0);if(c)if(1===this.containers.length)this.containers[p].containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1);else{for(n=1e4,a=null,u=c.floating||this._isFloating(this.currentItem),o=u?"left":"top",r=u?"width":"height",d=u?"clientX":"clientY",s=this.items.length-1;s>=0;s--)e.contains(this.containers[p].element[0],this.items[s].item[0])&&this.items[s].item[0]!==this.currentItem[0]&&(h=this.items[s].item.offset()[o],l=!1,t[d]-h>this.items[s][r]/2&&(l=!0),n>Math.abs(t[d]-h)&&(n=Math.abs(t[d]-h),a=this.items[s],this.direction=l?"up":"down"));if(!a&&!this.options.dropOnEmpty)return;if(this.currentContainer===this.containers[p])return this.currentContainer.containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1),void 0;a?this._rearrange(t,a,null,!0):this._rearrange(t,null,this.containers[p].element,!0),this._trigger("change",t,this._uiHash()),this.containers[p]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[p],this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1}},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper)?e(i.helper.apply(this.element[0],[t,this.currentItem])):"clone"===i.helper?this.currentItem.clone():this.currentItem;return s.parents("body").length||e("parent"!==i.appendTo?i.appendTo:this.currentItem[0].parentNode)[0].appendChild(s[0]),s[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(!s[0].style.width||i.forceHelperSize)&&s.width(this.currentItem.width()),(!s[0].style.height||i.forceHelperSize)&&s.height(this.currentItem.height()),s},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),(this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&e.ui.ie)&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"===this.cssPosition){var e=this.currentItem.position();return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:e.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options;"parent"===n.containment&&(n.containment=this.helper[0].parentNode),("document"===n.containment||"window"===n.containment)&&(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===n.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===n.containment?this.document.width():this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(n.containment)||(t=e(n.containment)[0],i=e(n.containment).offset(),s="hidden"!==e(t).css("overflow"),this.containment=[i.left+(parseInt(e(t).css("borderLeftWidth"),10)||0)+(parseInt(e(t).css("paddingLeft"),10)||0)-this.margins.left,i.top+(parseInt(e(t).css("borderTopWidth"),10)||0)+(parseInt(e(t).css("paddingTop"),10)||0)-this.margins.top,i.left+(s?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(e(t).css("borderLeftWidth"),10)||0)-(parseInt(e(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,i.top+(s?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(e(t).css("borderTopWidth"),10)||0)-(parseInt(e(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,i){i||(i=this.position);var s="absolute"===t?1:-1,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,a=/(html|body)/i.test(n[0].tagName);return{top:i.top+this.offset.relative.top*s+this.offset.parent.top*s-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():a?0:n.scrollTop())*s,left:i.left+this.offset.relative.left*s+this.offset.parent.left*s-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():a?0:n.scrollLeft())*s}},_generatePosition:function(t){var i,s,n=this.options,a=t.pageX,o=t.pageY,r="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,h=/(html|body)/i.test(r[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(a=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(o=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(a=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(o=this.containment[3]+this.offset.click.top)),n.grid&&(i=this.originalPageY+Math.round((o-this.originalPageY)/n.grid[1])*n.grid[1],o=this.containment?i-this.offset.click.top>=this.containment[1]&&i-this.offset.click.top<=this.containment[3]?i:i-this.offset.click.top>=this.containment[1]?i-n.grid[1]:i+n.grid[1]:i,s=this.originalPageX+Math.round((a-this.originalPageX)/n.grid[0])*n.grid[0],a=this.containment?s-this.offset.click.left>=this.containment[0]&&s-this.offset.click.left<=this.containment[2]?s:s-this.offset.click.left>=this.containment[0]?s-n.grid[0]:s+n.grid[0]:s)),{top:o-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():h?0:r.scrollTop()),left:a-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():h?0:r.scrollLeft())}},_rearrange:function(e,t,i,s){i?i[0].appendChild(this.placeholder[0]):t.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?t.item[0]:t.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(e,t){function i(e,t,i){return function(s){i._trigger(e,s,t._uiHash(t))}}this.reverting=!1;var s,n=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(s in this._storedCSS)("auto"===this._storedCSS[s]||"static"===this._storedCSS[s])&&(this._storedCSS[s]="");this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper")}else this.currentItem.show();for(this.fromOutside&&!t&&n.push(function(e){this._trigger("receive",e,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||t||n.push(function(e){this._trigger("update",e,this._uiHash())}),this!==this.currentContainer&&(t||(n.push(function(e){this._trigger("remove",e,this._uiHash())}),n.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),n.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),s=this.containers.length-1;s>=0;s--)t||n.push(i("deactivate",this,this.containers[s])),this.containers[s].containerCache.over&&(n.push(i("out",this,this.containers[s])),this.containers[s].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,t||this._trigger("beforeStop",e,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!t){for(s=0;n.length>s;s++)n[s].call(this,e);this._trigger("stop",e,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){e.Widget.prototype._trigger.apply(this,arguments)===!1&&this.cancel()},_uiHash:function(t){var i=t||this;return{helper:i.helper,placeholder:i.placeholder||e([]),position:i.position,originalPosition:i.originalPosition,offset:i.positionAbs,item:i.currentItem,sender:t?t.element:null}}}),e.widget("ui.accordion",{version:"1.11.4",options:{active:0,animate:{},collapsible:!1,event:"click",header:"> li > :first-child,> :not(li):even",heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=e(),this.element.addClass("ui-accordion ui-widget ui-helper-reset").attr("role","tablist"),t.collapsible||t.active!==!1&&null!=t.active||(t.active=0),this._processPanels(),0>t.active&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():e()}},_createIcons:function(){var t=this.options.icons;t&&(e("<span>").addClass("ui-accordion-header-icon ui-icon "+t.header).prependTo(this.headers),this.active.children(".ui-accordion-header-icon").removeClass(t.header).addClass(t.activeHeader),this.headers.addClass("ui-accordion-icons"))},_destroyIcons:function(){this.headers.removeClass("ui-accordion-icons").children(".ui-accordion-header-icon").remove()},_destroy:function(){var e;this.element.removeClass("ui-accordion ui-widget ui-helper-reset").removeAttr("role"),this.headers.removeClass("ui-accordion-header ui-accordion-header-active ui-state-default ui-corner-all ui-state-active ui-state-disabled ui-corner-top").removeAttr("role").removeAttr("aria-expanded").removeAttr("aria-selected").removeAttr("aria-controls").removeAttr("tabIndex").removeUniqueId(),this._destroyIcons(),e=this.headers.next().removeClass("ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content ui-accordion-content-active ui-state-disabled").css("display","").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&e.css("height","")},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):("event"===e&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(t)),this._super(e,t),"collapsible"!==e||t||this.options.active!==!1||this._activate(0),"icons"===e&&(this._destroyIcons(),t&&this._createIcons()),"disabled"===e&&(this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this.headers.add(this.headers.next()).toggleClass("ui-state-disabled",!!t)),void 0)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var i=e.ui.keyCode,s=this.headers.length,n=this.headers.index(t.target),a=!1;switch(t.keyCode){case i.RIGHT:case i.DOWN:a=this.headers[(n+1)%s];break;case i.LEFT:case i.UP:a=this.headers[(n-1+s)%s];break;case i.SPACE:case i.ENTER:this._eventHandler(t);break;case i.HOME:a=this.headers[0];break;case i.END:a=this.headers[s-1]}a&&(e(t.target).attr("tabIndex",-1),e(a).attr("tabIndex",0),a.focus(),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===e.ui.keyCode.UP&&t.ctrlKey&&e(t.currentTarget).prev().focus()},refresh:function(){var t=this.options;this._processPanels(),t.active===!1&&t.collapsible===!0||!this.headers.length?(t.active=!1,this.active=e()):t.active===!1?this._activate(0):this.active.length&&!e.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=e()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var e=this.headers,t=this.panels;this.headers=this.element.find(this.options.header).addClass("ui-accordion-header ui-state-default ui-corner-all"),this.panels=this.headers.next().addClass("ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom").filter(":not(.ui-accordion-content-active)").hide(),t&&(this._off(e.not(this.headers)),this._off(t.not(this.panels)))},_refresh:function(){var t,i=this.options,s=i.heightStyle,n=this.element.parent();this.active=this._findActive(i.active).addClass("ui-accordion-header-active ui-state-active ui-corner-top").removeClass("ui-corner-all"),this.active.next().addClass("ui-accordion-content-active").show(),this.headers.attr("role","tab").each(function(){var t=e(this),i=t.uniqueId().attr("id"),s=t.next(),n=s.uniqueId().attr("id");t.attr("aria-controls",n),s.attr("aria-labelledby",i)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(i.event),"fill"===s?(t=n.height(),this.element.siblings(":visible").each(function(){var i=e(this),s=i.css("position");"absolute"!==s&&"fixed"!==s&&(t-=i.outerHeight(!0))}),this.headers.each(function(){t-=e(this).outerHeight(!0)}),this.headers.next().each(function(){e(this).height(Math.max(0,t-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===s&&(t=0,this.headers.next().each(function(){t=Math.max(t,e(this).css("height","").height())}).height(t))},_activate:function(t){var i=this._findActive(t)[0];i!==this.active[0]&&(i=i||this.active[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):e()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n[0]===s[0],o=a&&i.collapsible,r=o?e():n.next(),h=s.next(),l={oldHeader:s,oldPanel:h,newHeader:o?e():n,newPanel:r}; t.preventDefault(),a&&!i.collapsible||this._trigger("beforeActivate",t,l)===!1||(i.active=o?!1:this.headers.index(n),this.active=a?e():n,this._toggle(l),s.removeClass("ui-accordion-header-active ui-state-active"),i.icons&&s.children(".ui-accordion-header-icon").removeClass(i.icons.activeHeader).addClass(i.icons.header),a||(n.removeClass("ui-corner-all").addClass("ui-accordion-header-active ui-state-active ui-corner-top"),i.icons&&n.children(".ui-accordion-header-icon").removeClass(i.icons.header).addClass(i.icons.activeHeader),n.next().addClass("ui-accordion-content-active")))},_toggle:function(t){var i=t.newPanel,s=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=i,this.prevHide=s,this.options.animate?this._animate(i,s,t):(s.hide(),i.show(),this._toggleComplete(t)),s.attr({"aria-hidden":"true"}),s.prev().attr({"aria-selected":"false","aria-expanded":"false"}),i.length&&s.length?s.prev().attr({tabIndex:-1,"aria-expanded":"false"}):i.length&&this.headers.filter(function(){return 0===parseInt(e(this).attr("tabIndex"),10)}).attr("tabIndex",-1),i.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(e,t,i){var s,n,a,o=this,r=0,h=e.css("box-sizing"),l=e.length&&(!t.length||e.index()<t.index()),u=this.options.animate||{},d=l&&u.down||u,c=function(){o._toggleComplete(i)};return"number"==typeof d&&(a=d),"string"==typeof d&&(n=d),n=n||d.easing||u.easing,a=a||d.duration||u.duration,t.length?e.length?(s=e.show().outerHeight(),t.animate(this.hideProps,{duration:a,easing:n,step:function(e,t){t.now=Math.round(e)}}),e.hide().animate(this.showProps,{duration:a,easing:n,complete:c,step:function(e,i){i.now=Math.round(e),"height"!==i.prop?"content-box"===h&&(r+=i.now):"content"!==o.options.heightStyle&&(i.now=Math.round(s-t.outerHeight()-r),r=0)}}),void 0):t.animate(this.hideProps,a,n,c):e.animate(this.showProps,a,n,c)},_toggleComplete:function(e){var t=e.oldPanel;t.removeClass("ui-accordion-content-active").prev().removeClass("ui-corner-top").addClass("ui-corner-all"),t.length&&(t.parent()[0].className=t.parent()[0].className),this._trigger("activate",null,e)}}),e.widget("ui.menu",{version:"1.11.4",defaultElement:"<ul>",delay:300,options:{icons:{submenu:"ui-icon-carat-1-e"},items:"> *",menus:"ul",position:{my:"left-1 top",at:"right top"},role:"menu",blur:null,focus:null,select:null},_create:function(){this.activeMenu=this.element,this.mouseHandled=!1,this.element.uniqueId().addClass("ui-menu ui-widget ui-widget-content").toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length).attr({role:this.options.role,tabIndex:0}),this.options.disabled&&this.element.addClass("ui-state-disabled").attr("aria-disabled","true"),this._on({"mousedown .ui-menu-item":function(e){e.preventDefault()},"click .ui-menu-item":function(t){var i=e(t.target);!this.mouseHandled&&i.not(".ui-state-disabled").length&&(this.select(t),t.isPropagationStopped()||(this.mouseHandled=!0),i.has(".ui-menu").length?this.expand(t):!this.element.is(":focus")&&e(this.document[0].activeElement).closest(".ui-menu").length&&(this.element.trigger("focus",[!0]),this.active&&1===this.active.parents(".ui-menu").length&&clearTimeout(this.timer)))},"mouseenter .ui-menu-item":function(t){if(!this.previousFilter){var i=e(t.currentTarget);i.siblings(".ui-state-active").removeClass("ui-state-active"),this.focus(t,i)}},mouseleave:"collapseAll","mouseleave .ui-menu":"collapseAll",focus:function(e,t){var i=this.active||this.element.find(this.options.items).eq(0);t||this.focus(e,i)},blur:function(t){this._delay(function(){e.contains(this.element[0],this.document[0].activeElement)||this.collapseAll(t)})},keydown:"_keydown"}),this.refresh(),this._on(this.document,{click:function(e){this._closeOnDocumentClick(e)&&this.collapseAll(e),this.mouseHandled=!1}})},_destroy:function(){this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeClass("ui-menu ui-widget ui-widget-content ui-menu-icons ui-front").removeAttr("role").removeAttr("tabIndex").removeAttr("aria-labelledby").removeAttr("aria-expanded").removeAttr("aria-hidden").removeAttr("aria-disabled").removeUniqueId().show(),this.element.find(".ui-menu-item").removeClass("ui-menu-item").removeAttr("role").removeAttr("aria-disabled").removeUniqueId().removeClass("ui-state-hover").removeAttr("tabIndex").removeAttr("role").removeAttr("aria-haspopup").children().each(function(){var t=e(this);t.data("ui-menu-submenu-carat")&&t.remove()}),this.element.find(".ui-menu-divider").removeClass("ui-menu-divider ui-widget-content")},_keydown:function(t){var i,s,n,a,o=!0;switch(t.keyCode){case e.ui.keyCode.PAGE_UP:this.previousPage(t);break;case e.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case e.ui.keyCode.HOME:this._move("first","first",t);break;case e.ui.keyCode.END:this._move("last","last",t);break;case e.ui.keyCode.UP:this.previous(t);break;case e.ui.keyCode.DOWN:this.next(t);break;case e.ui.keyCode.LEFT:this.collapse(t);break;case e.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case e.ui.keyCode.ENTER:case e.ui.keyCode.SPACE:this._activate(t);break;case e.ui.keyCode.ESCAPE:this.collapse(t);break;default:o=!1,s=this.previousFilter||"",n=String.fromCharCode(t.keyCode),a=!1,clearTimeout(this.filterTimer),n===s?a=!0:n=s+n,i=this._filterMenuItems(n),i=a&&-1!==i.index(this.active.next())?this.active.nextAll(".ui-menu-item"):i,i.length||(n=String.fromCharCode(t.keyCode),i=this._filterMenuItems(n)),i.length?(this.focus(t,i),this.previousFilter=n,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}o&&t.preventDefault()},_activate:function(e){this.active.is(".ui-state-disabled")||(this.active.is("[aria-haspopup='true']")?this.expand(e):this.select(e))},refresh:function(){var t,i,s=this,n=this.options.icons.submenu,a=this.element.find(this.options.menus);this.element.toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length),a.filter(":not(.ui-menu)").addClass("ui-menu ui-widget ui-widget-content ui-front").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=e(this),i=t.parent(),s=e("<span>").addClass("ui-menu-icon ui-icon "+n).data("ui-menu-submenu-carat",!0);i.attr("aria-haspopup","true").prepend(s),t.attr("aria-labelledby",i.attr("id"))}),t=a.add(this.element),i=t.find(this.options.items),i.not(".ui-menu-item").each(function(){var t=e(this);s._isDivider(t)&&t.addClass("ui-widget-content ui-menu-divider")}),i.not(".ui-menu-item, .ui-menu-divider").addClass("ui-menu-item").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),i.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!e.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(e,t){"icons"===e&&this.element.find(".ui-menu-icon").removeClass(this.options.icons.submenu).addClass(t.submenu),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},focus:function(e,t){var i,s;this.blur(e,e&&"focus"===e.type),this._scrollIntoView(t),this.active=t.first(),s=this.active.addClass("ui-state-focus").removeClass("ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",s.attr("id")),this.active.parent().closest(".ui-menu-item").addClass("ui-state-active"),e&&"keydown"===e.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),i=t.children(".ui-menu"),i.length&&e&&/^mouse/.test(e.type)&&this._startOpening(i),this.activeMenu=t.parent(),this._trigger("focus",e,{item:t})},_scrollIntoView:function(t){var i,s,n,a,o,r;this._hasScroll()&&(i=parseFloat(e.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(e.css(this.activeMenu[0],"paddingTop"))||0,n=t.offset().top-this.activeMenu.offset().top-i-s,a=this.activeMenu.scrollTop(),o=this.activeMenu.height(),r=t.outerHeight(),0>n?this.activeMenu.scrollTop(a+n):n+r>o&&this.activeMenu.scrollTop(a+n-o+r))},blur:function(e,t){t||clearTimeout(this.timer),this.active&&(this.active.removeClass("ui-state-focus"),this.active=null,this._trigger("blur",e,{item:this.active}))},_startOpening:function(e){clearTimeout(this.timer),"true"===e.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(e)},this.delay))},_open:function(t){var i=e.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(i)},collapseAll:function(t,i){clearTimeout(this.timer),this.timer=this._delay(function(){var s=i?this.element:e(t&&t.target).closest(this.element.find(".ui-menu"));s.length||(s=this.element),this._close(s),this.blur(t),this.activeMenu=s},this.delay)},_close:function(e){e||(e=this.active?this.active.parent():this.element),e.find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false").end().find(".ui-state-active").not(".ui-state-focus").removeClass("ui-state-active")},_closeOnDocumentClick:function(t){return!e(t.target).closest(".ui-menu").length},_isDivider:function(e){return!/[^\-\u2014\u2013\s]/.test(e.text())},collapse:function(e){var t=this.active&&this.active.parent().closest(".ui-menu-item",this.element);t&&t.length&&(this._close(),this.focus(e,t))},expand:function(e){var t=this.active&&this.active.children(".ui-menu ").find(this.options.items).first();t&&t.length&&(this._open(t.parent()),this._delay(function(){this.focus(e,t)}))},next:function(e){this._move("next","first",e)},previous:function(e){this._move("prev","last",e)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_move:function(e,t,i){var s;this.active&&(s="first"===e||"last"===e?this.active["first"===e?"prevAll":"nextAll"](".ui-menu-item").eq(-1):this.active[e+"All"](".ui-menu-item").eq(0)),s&&s.length&&this.active||(s=this.activeMenu.find(this.options.items)[t]()),this.focus(i,s)},nextPage:function(t){var i,s,n;return this.active?(this.isLastItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.nextAll(".ui-menu-item").each(function(){return i=e(this),0>i.offset().top-s-n}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items)[this.active?"last":"first"]())),void 0):(this.next(t),void 0)},previousPage:function(t){var i,s,n;return this.active?(this.isFirstItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.prevAll(".ui-menu-item").each(function(){return i=e(this),i.offset().top-s+n>0}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items).first())),void 0):(this.next(t),void 0)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||e(t.target).closest(".ui-menu-item");var i={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,i)},_filterMenuItems:function(t){var i=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),s=RegExp("^"+i,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return s.test(e.trim(e(this).text()))})}}),e.widget("ui.autocomplete",{version:"1.11.4",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,_create:function(){var t,i,s,n=this.element[0].nodeName.toLowerCase(),a="textarea"===n,o="input"===n;this.isMultiLine=a?!0:o?!1:this.element.prop("isContentEditable"),this.valueMethod=this.element[a||o?"val":"text"],this.isNewMenu=!0,this.element.addClass("ui-autocomplete-input").attr("autocomplete","off"),this._on(this.element,{keydown:function(n){if(this.element.prop("readOnly"))return t=!0,s=!0,i=!0,void 0;t=!1,s=!1,i=!1;var a=e.ui.keyCode;switch(n.keyCode){case a.PAGE_UP:t=!0,this._move("previousPage",n);break;case a.PAGE_DOWN:t=!0,this._move("nextPage",n);break;case a.UP:t=!0,this._keyEvent("previous",n);break;case a.DOWN:t=!0,this._keyEvent("next",n);break;case a.ENTER:this.menu.active&&(t=!0,n.preventDefault(),this.menu.select(n));break;case a.TAB:this.menu.active&&this.menu.select(n);break;case a.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(n),n.preventDefault());break;default:i=!0,this._searchTimeout(n)}},keypress:function(s){if(t)return t=!1,(!this.isMultiLine||this.menu.element.is(":visible"))&&s.preventDefault(),void 0;if(!i){var n=e.ui.keyCode;switch(s.keyCode){case n.PAGE_UP:this._move("previousPage",s);break;case n.PAGE_DOWN:this._move("nextPage",s);break;case n.UP:this._keyEvent("previous",s);break;case n.DOWN:this._keyEvent("next",s)}}},input:function(e){return s?(s=!1,e.preventDefault(),void 0):(this._searchTimeout(e),void 0)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(clearTimeout(this.searching),this.close(e),this._change(e),void 0)}}),this._initSource(),this.menu=e("<ul>").addClass("ui-autocomplete ui-front").appendTo(this._appendTo()).menu({role:null}).hide().menu("instance"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault(),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur});var i=this.menu.element[0];e(t.target).closest(".ui-menu-item").length||this._delay(function(){var t=this;this.document.one("mousedown",function(s){s.target===t.element[0]||s.target===i||e.contains(i,s.target)||t.close()})})},menufocus:function(t,i){var s,n;return this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type))?(this.menu.blur(),this.document.one("mousemove",function(){e(t.target).trigger(t.originalEvent)}),void 0):(n=i.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:n})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(n.value),s=i.item.attr("aria-label")||n.value,s&&e.trim(s).length&&(this.liveRegion.children().hide(),e("<div>").text(s).appendTo(this.liveRegion)),void 0)},menuselect:function(e,t){var i=t.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==this.document[0].activeElement&&(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",e,{item:i})&&this._value(i.value),this.term=this._value(),this.close(e),this.selectedItem=i}}),this.liveRegion=e("<span>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(e,t){this._super(e,t),"source"===e&&this._initSource(),"appendTo"===e&&this.menu.element.appendTo(this._appendTo()),"disabled"===e&&t&&this.xhr&&this.xhr.abort()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_initSource:function(){var t,i,s=this;e.isArray(this.options.source)?(t=this.options.source,this.source=function(i,s){s(e.ui.autocomplete.filter(t,i.term))}):"string"==typeof this.options.source?(i=this.options.source,this.source=function(t,n){s.xhr&&s.xhr.abort(),s.xhr=e.ajax({url:i,data:t,dataType:"json",success:function(e){n(e)},error:function(){n([])}})}):this.source=this.options.source},_searchTimeout:function(e){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),i=this.menu.element.is(":visible"),s=e.altKey||e.ctrlKey||e.metaKey||e.shiftKey;(!t||t&&!i&&!s)&&(this.selectedItem=null,this.search(null,e))},this.options.delay)},search:function(e,t){return e=null!=e?e:this._value(),this.term=this._value(),e.length<this.options.minLength?this.close(t):this._trigger("search",t)!==!1?this._search(e):void 0},_search:function(e){this.pending++,this.element.addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:e},this._response())},_response:function(){var t=++this.requestIndex;return e.proxy(function(e){t===this.requestIndex&&this.__response(e),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},this)},__response:function(e){e&&(e=this._normalize(e)),this._trigger("response",null,{content:e}),!this.options.disabled&&e&&e.length&&!this.cancelSearch?(this._suggest(e),this._trigger("open")):this._close()},close:function(e){this.cancelSearch=!0,this._close(e)},_close:function(e){this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",e))},_change:function(e){this.previous!==this._value()&&this._trigger("change",e,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:e.map(t,function(t){return"string"==typeof t?{label:t,value:t}:e.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var i=this.menu.element.empty();this._renderMenu(i,t),this.isNewMenu=!0,this.menu.refresh(),i.show(),this._resizeMenu(),i.position(e.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next()},_resizeMenu:function(){var e=this.menu.element;e.outerWidth(Math.max(e.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(t,i){var s=this;e.each(i,function(e,i){s._renderItemData(t,i)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-autocomplete-item",t)},_renderItem:function(t,i){return e("<li>").text(i.label).appendTo(t)},_move:function(e,t){return this.menu.element.is(":visible")?this.menu.isFirstItem()&&/^previous/.test(e)||this.menu.isLastItem()&&/^next/.test(e)?(this.isMultiLine||this._value(this.term),this.menu.blur(),void 0):(this.menu[e](t),void 0):(this.search(null,t),void 0)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(e,t){(!this.isMultiLine||this.menu.element.is(":visible"))&&(this._move(e,t),t.preventDefault())}}),e.extend(e.ui.autocomplete,{escapeRegex:function(e){return e.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,i){var s=RegExp(e.ui.autocomplete.escapeRegex(i),"i");return e.grep(t,function(e){return s.test(e.label||e.value||e)})}}),e.widget("ui.autocomplete",e.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(e){return e+(e>1?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var i;this._superApply(arguments),this.options.disabled||this.cancelSearch||(i=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,this.liveRegion.children().hide(),e("<div>").text(i).appendTo(this.liveRegion))}}),e.ui.autocomplete;var r,h="ui-button ui-widget ui-state-default ui-corner-all",l="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",u=function(){var t=e(this);setTimeout(function(){t.find(":ui-button").button("refresh")},1)},d=function(t){var i=t.name,s=t.form,n=e([]);return i&&(i=i.replace(/'/g,"\\'"),n=s?e(s).find("[name='"+i+"'][type=radio]"):e("[name='"+i+"'][type=radio]",t.ownerDocument).filter(function(){return!this.form})),n};e.widget("ui.button",{version:"1.11.4",defaultElement:"<button>",options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset"+this.eventNamespace).bind("reset"+this.eventNamespace,u),"boolean"!=typeof this.options.disabled?this.options.disabled=!!this.element.prop("disabled"):this.element.prop("disabled",this.options.disabled),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var t=this,i=this.options,s="checkbox"===this.type||"radio"===this.type,n=s?"":"ui-state-active";null===i.label&&(i.label="input"===this.type?this.buttonElement.val():this.buttonElement.html()),this._hoverable(this.buttonElement),this.buttonElement.addClass(h).attr("role","button").bind("mouseenter"+this.eventNamespace,function(){i.disabled||this===r&&e(this).addClass("ui-state-active")}).bind("mouseleave"+this.eventNamespace,function(){i.disabled||e(this).removeClass(n)}).bind("click"+this.eventNamespace,function(e){i.disabled&&(e.preventDefault(),e.stopImmediatePropagation())}),this._on({focus:function(){this.buttonElement.addClass("ui-state-focus")},blur:function(){this.buttonElement.removeClass("ui-state-focus")}}),s&&this.element.bind("change"+this.eventNamespace,function(){t.refresh()}),"checkbox"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){return i.disabled?!1:void 0}):"radio"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){if(i.disabled)return!1;e(this).addClass("ui-state-active"),t.buttonElement.attr("aria-pressed","true");var s=t.element[0];d(s).not(s).map(function(){return e(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown"+this.eventNamespace,function(){return i.disabled?!1:(e(this).addClass("ui-state-active"),r=this,t.document.one("mouseup",function(){r=null}),void 0)}).bind("mouseup"+this.eventNamespace,function(){return i.disabled?!1:(e(this).removeClass("ui-state-active"),void 0)}).bind("keydown"+this.eventNamespace,function(t){return i.disabled?!1:((t.keyCode===e.ui.keyCode.SPACE||t.keyCode===e.ui.keyCode.ENTER)&&e(this).addClass("ui-state-active"),void 0)}).bind("keyup"+this.eventNamespace+" blur"+this.eventNamespace,function(){e(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(t){t.keyCode===e.ui.keyCode.SPACE&&e(this).click()})),this._setOption("disabled",i.disabled),this._resetButton()},_determineButtonType:function(){var e,t,i;this.type=this.element.is("[type=checkbox]")?"checkbox":this.element.is("[type=radio]")?"radio":this.element.is("input")?"input":"button","checkbox"===this.type||"radio"===this.type?(e=this.element.parents().last(),t="label[for='"+this.element.attr("id")+"']",this.buttonElement=e.find(t),this.buttonElement.length||(e=e.length?e.siblings():this.element.siblings(),this.buttonElement=e.filter(t),this.buttonElement.length||(this.buttonElement=e.find(t))),this.element.addClass("ui-helper-hidden-accessible"),i=this.element.is(":checked"),i&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.prop("aria-pressed",i)):this.buttonElement=this.element},widget:function(){return this.buttonElement},_destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(h+" ui-state-active "+l).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title")},_setOption:function(e,t){return this._super(e,t),"disabled"===e?(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),t&&("checkbox"===this.type||"radio"===this.type?this.buttonElement.removeClass("ui-state-focus"):this.buttonElement.removeClass("ui-state-focus ui-state-active")),void 0):(this._resetButton(),void 0)},refresh:function(){var t=this.element.is("input, button")?this.element.is(":disabled"):this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOption("disabled",t),"radio"===this.type?d(this.element[0]).each(function(){e(this).is(":checked")?e(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):e(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):"checkbox"===this.type&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if("input"===this.type)return this.options.label&&this.element.val(this.options.label),void 0;var t=this.buttonElement.removeClass(l),i=e("<span></span>",this.document[0]).addClass("ui-button-text").html(this.options.label).appendTo(t.empty()).text(),s=this.options.icons,n=s.primary&&s.secondary,a=[];s.primary||s.secondary?(this.options.text&&a.push("ui-button-text-icon"+(n?"s":s.primary?"-primary":"-secondary")),s.primary&&t.prepend("<span class='ui-button-icon-primary ui-icon "+s.primary+"'></span>"),s.secondary&&t.append("<span class='ui-button-icon-secondary ui-icon "+s.secondary+"'></span>"),this.options.text||(a.push(n?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||t.attr("title",e.trim(i)))):a.push("ui-button-text-only"),t.addClass(a.join(" "))}}),e.widget("ui.buttonset",{version:"1.11.4",options:{items:"button, input[type=button], input[type=submit], input[type=reset], input[type=checkbox], input[type=radio], a, :data(ui-button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(e,t){"disabled"===e&&this.buttons.button("option",e,t),this._super(e,t)},refresh:function(){var t="rtl"===this.element.css("direction"),i=this.element.find(this.options.items),s=i.filter(":ui-button");i.not(":ui-button").button(),s.button("refresh"),this.buttons=i.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(t?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(t?"ui-corner-left":"ui-corner-right").end().end()},_destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy")}}),e.ui.button,e.widget("ui.dialog",{version:"1.11.4",options:{appendTo:"body",autoOpen:!0,buttons:[],closeOnEscape:!0,closeText:"Close",dialogClass:"",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var i=e(this).css(t).offset().top;0>i&&e(this).css("top",t.top-i)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),this.options.title=this.options.title||this.originalTitle,this._createWrapper(),this.element.show().removeAttr("title").addClass("ui-dialog-content ui-widget-content").appendTo(this.uiDialog),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&e.fn.draggable&&this._makeDraggable(),this.options.resizable&&e.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?e(t):this.document.find(t||"body").eq(0)},_destroy:function(){var e,t=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().removeClass("ui-dialog-content ui-widget-content").css(this.originalCss).detach(),this.uiDialog.stop(!0,!0).remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),e=t.parent.children().eq(t.index),e.length&&e[0]!==this.element[0]?e.before(this.element):t.parent.append(this.element)},widget:function(){return this.uiDialog},disable:e.noop,enable:e.noop,close:function(t){var i,s=this;if(this._isOpen&&this._trigger("beforeClose",t)!==!1){if(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),!this.opener.filter(":focusable").focus().length)try{i=this.document[0].activeElement,i&&"body"!==i.nodeName.toLowerCase()&&e(i).blur()}catch(n){}this._hide(this.uiDialog,this.options.hide,function(){s._trigger("close",t)})}},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,i){var s=!1,n=this.uiDialog.siblings(".ui-front:visible").map(function(){return+e(this).css("z-index")}).get(),a=Math.max.apply(null,n);return a>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",a+1),s=!0),s&&!i&&this._trigger("focus",t),s},open:function(){var t=this;return this._isOpen?(this._moveToTop()&&this._focusTabbable(),void 0):(this._isOpen=!0,this.opener=e(this.document[0].activeElement),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"),void 0)},_focusTabbable:function(){var e=this._focusedElement;e||(e=this.element.find("[autofocus]")),e.length||(e=this.element.find(":tabbable")),e.length||(e=this.uiDialogButtonPane.find(":tabbable")),e.length||(e=this.uiDialogTitlebarClose.filter(":tabbable")),e.length||(e=this.uiDialog),e.eq(0).focus()},_keepFocus:function(t){function i(){var t=this.document[0].activeElement,i=this.uiDialog[0]===t||e.contains(this.uiDialog[0],t);i||this._focusTabbable()}t.preventDefault(),i.call(this),this._delay(i)},_createWrapper:function(){this.uiDialog=e("<div>").addClass("ui-dialog ui-widget ui-widget-content ui-corner-all ui-front "+this.options.dialogClass).hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===e.ui.keyCode.ESCAPE)return t.preventDefault(),this.close(t),void 0;if(t.keyCode===e.ui.keyCode.TAB&&!t.isDefaultPrevented()){var i=this.uiDialog.find(":tabbable"),s=i.filter(":first"),n=i.filter(":last");t.target!==n[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==s[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){n.focus()}),t.preventDefault()):(this._delay(function(){s.focus()}),t.preventDefault())}},mousedown:function(e){this._moveToTop(e)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=e("<div>").addClass("ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix").prependTo(this.uiDialog),this._on(this.uiDialogTitlebar,{mousedown:function(t){e(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.focus()}}),this.uiDialogTitlebarClose=e("<button type='button'></button>").button({label:this.options.closeText,icons:{primary:"ui-icon-closethick"},text:!1}).addClass("ui-dialog-titlebar-close").appendTo(this.uiDialogTitlebar),this._on(this.uiDialogTitlebarClose,{click:function(e){e.preventDefault(),this.close(e)}}),t=e("<span>").uniqueId().addClass("ui-dialog-title").prependTo(this.uiDialogTitlebar),this._title(t),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(e){this.options.title||e.html(" "),e.text(this.options.title) },_createButtonPane:function(){this.uiDialogButtonPane=e("<div>").addClass("ui-dialog-buttonpane ui-widget-content ui-helper-clearfix"),this.uiButtonSet=e("<div>").addClass("ui-dialog-buttonset").appendTo(this.uiDialogButtonPane),this._createButtons()},_createButtons:function(){var t=this,i=this.options.buttons;return this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),e.isEmptyObject(i)||e.isArray(i)&&!i.length?(this.uiDialog.removeClass("ui-dialog-buttons"),void 0):(e.each(i,function(i,s){var n,a;s=e.isFunction(s)?{click:s,text:i}:s,s=e.extend({type:"button"},s),n=s.click,s.click=function(){n.apply(t.element[0],arguments)},a={icons:s.icons,text:s.showText},delete s.icons,delete s.showText,e("<button></button>",s).button(a).appendTo(t.uiButtonSet)}),this.uiDialog.addClass("ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog),void 0)},_makeDraggable:function(){function t(e){return{position:e.position,offset:e.offset}}var i=this,s=this.options;this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(s,n){e(this).addClass("ui-dialog-dragging"),i._blockFrames(),i._trigger("dragStart",s,t(n))},drag:function(e,s){i._trigger("drag",e,t(s))},stop:function(n,a){var o=a.offset.left-i.document.scrollLeft(),r=a.offset.top-i.document.scrollTop();s.position={my:"left top",at:"left"+(o>=0?"+":"")+o+" "+"top"+(r>=0?"+":"")+r,of:i.window},e(this).removeClass("ui-dialog-dragging"),i._unblockFrames(),i._trigger("dragStop",n,t(a))}})},_makeResizable:function(){function t(e){return{originalPosition:e.originalPosition,originalSize:e.originalSize,position:e.position,size:e.size}}var i=this,s=this.options,n=s.resizable,a=this.uiDialog.css("position"),o="string"==typeof n?n:"n,e,s,w,se,sw,ne,nw";this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:s.maxWidth,maxHeight:s.maxHeight,minWidth:s.minWidth,minHeight:this._minHeight(),handles:o,start:function(s,n){e(this).addClass("ui-dialog-resizing"),i._blockFrames(),i._trigger("resizeStart",s,t(n))},resize:function(e,s){i._trigger("resize",e,t(s))},stop:function(n,a){var o=i.uiDialog.offset(),r=o.left-i.document.scrollLeft(),h=o.top-i.document.scrollTop();s.height=i.uiDialog.height(),s.width=i.uiDialog.width(),s.position={my:"left top",at:"left"+(r>=0?"+":"")+r+" "+"top"+(h>=0?"+":"")+h,of:i.window},e(this).removeClass("ui-dialog-resizing"),i._unblockFrames(),i._trigger("resizeStop",n,t(a))}}).css("position",a)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=e(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),i=e.inArray(this,t);-1!==i&&t.splice(i,1)},_trackingInstances:function(){var e=this.document.data("ui-dialog-instances");return e||(e=[],this.document.data("ui-dialog-instances",e)),e},_minHeight:function(){var e=this.options;return"auto"===e.height?e.minHeight:Math.min(e.minHeight,e.height)},_position:function(){var e=this.uiDialog.is(":visible");e||this.uiDialog.show(),this.uiDialog.position(this.options.position),e||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};e.each(t,function(e,t){i._setOption(e,t),e in i.sizeRelatedOptions&&(s=!0),e in i.resizableRelatedOptions&&(n[e]=t)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(e,t){var i,s,n=this.uiDialog;"dialogClass"===e&&n.removeClass(this.options.dialogClass).addClass(t),"disabled"!==e&&(this._super(e,t),"appendTo"===e&&this.uiDialog.appendTo(this._appendTo()),"buttons"===e&&this._createButtons(),"closeText"===e&&this.uiDialogTitlebarClose.button({label:""+t}),"draggable"===e&&(i=n.is(":data(ui-draggable)"),i&&!t&&n.draggable("destroy"),!i&&t&&this._makeDraggable()),"position"===e&&this._position(),"resizable"===e&&(s=n.is(":data(ui-resizable)"),s&&!t&&n.resizable("destroy"),s&&"string"==typeof t&&n.resizable("option","handles",t),s||t===!1||this._makeResizable()),"title"===e&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var e,t,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),e=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),t=Math.max(0,s.minHeight-e),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-e):"none","auto"===s.height?this.element.css({minHeight:t,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-e)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=e(this);return e("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return e(t.target).closest(".ui-dialog").length?!0:!!e(t.target).closest(".ui-datepicker").length},_createOverlay:function(){if(this.options.modal){var t=!0;this._delay(function(){t=!1}),this.document.data("ui-dialog-overlays")||this._on(this.document,{focusin:function(e){t||this._allowInteraction(e)||(e.preventDefault(),this._trackingInstances()[0]._focusTabbable())}}),this.overlay=e("<div>").addClass("ui-widget-overlay ui-front").appendTo(this._appendTo()),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1)}},_destroyOverlay:function(){if(this.options.modal&&this.overlay){var e=this.document.data("ui-dialog-overlays")-1;e?this.document.data("ui-dialog-overlays",e):this.document.unbind("focusin").removeData("ui-dialog-overlays"),this.overlay.remove(),this.overlay=null}}}),e.widget("ui.progressbar",{version:"1.11.4",options:{max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.addClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").attr({role:"progressbar","aria-valuemin":this.min}),this.valueDiv=e("<div class='ui-progressbar-value ui-widget-header ui-corner-left'></div>").appendTo(this.element),this._refreshValue()},_destroy:function(){this.element.removeClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.valueDiv.remove()},value:function(e){return void 0===e?this.options.value:(this.options.value=this._constrainedValue(e),this._refreshValue(),void 0)},_constrainedValue:function(e){return void 0===e&&(e=this.options.value),this.indeterminate=e===!1,"number"!=typeof e&&(e=0),this.indeterminate?!1:Math.min(this.options.max,Math.max(this.min,e))},_setOptions:function(e){var t=e.value;delete e.value,this._super(e),this.options.value=this._constrainedValue(t),this._refreshValue()},_setOption:function(e,t){"max"===e&&(t=Math.max(this.min,t)),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,i=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).toggleClass("ui-corner-right",t===this.options.max).width(i.toFixed(0)+"%"),this.element.toggleClass("ui-progressbar-indeterminate",this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=e("<div class='ui-progressbar-overlay'></div>").appendTo(this.valueDiv))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),e.widget("ui.selectmenu",{version:"1.11.4",defaultElement:"<select>",options:{appendTo:null,disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:null,change:null,close:null,focus:null,open:null,select:null},_create:function(){var e=this.element.uniqueId().attr("id");this.ids={element:e,button:e+"-button",menu:e+"-menu"},this._drawButton(),this._drawMenu(),this.options.disabled&&this.disable()},_drawButton:function(){var t=this;this.label=e("label[for='"+this.ids.element+"']").attr("for",this.ids.button),this._on(this.label,{click:function(e){this.button.focus(),e.preventDefault()}}),this.element.hide(),this.button=e("<span>",{"class":"ui-selectmenu-button ui-widget ui-state-default ui-corner-all",tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true"}).insertAfter(this.element),e("<span>",{"class":"ui-icon "+this.options.icons.button}).prependTo(this.button),this.buttonText=e("<span>",{"class":"ui-selectmenu-text"}).appendTo(this.button),this._setText(this.buttonText,this.element.find("option:selected").text()),this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){t.menuItems||t._refreshMenu()}),this._hoverable(this.button),this._focusable(this.button)},_drawMenu:function(){var t=this;this.menu=e("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=e("<div>",{"class":"ui-selectmenu-menu ui-front"}).append(this.menu).appendTo(this._appendTo()),this.menuInstance=this.menu.menu({role:"listbox",select:function(e,i){e.preventDefault(),t._setSelection(),t._select(i.item.data("ui-selectmenu-item"),e)},focus:function(e,i){var s=i.item.data("ui-selectmenu-item");null!=t.focusIndex&&s.index!==t.focusIndex&&(t._trigger("focus",e,{item:s}),t.isOpen||t._select(s,e)),t.focusIndex=s.index,t.button.attr("aria-activedescendant",t.menuItems.eq(s.index).attr("id"))}}).menu("instance"),this.menu.addClass("ui-corner-bottom").removeClass("ui-corner-all"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this._setText(this.buttonText,this._getSelectedItem().text()),this.options.width||this._resizeButton()},_refreshMenu:function(){this.menu.empty();var e,t=this.element.find("option");t.length&&(this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup"),e=this._getSelectedItem(),this.menuInstance.focus(null,e),this._setAria(e.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(e){this.options.disabled||(this.menuItems?(this.menu.find(".ui-state-focus").removeClass("ui-state-focus"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",e))},_position:function(){this.menuWrap.position(e.extend({of:this.button},this.options.position))},close:function(e){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",e))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderMenu:function(t,i){var s=this,n="";e.each(i,function(i,a){a.optgroup!==n&&(e("<li>",{"class":"ui-selectmenu-optgroup ui-menu-divider"+(a.element.parent("optgroup").prop("disabled")?" ui-state-disabled":""),text:a.optgroup}).appendTo(t),n=a.optgroup),s._renderItemData(t,a)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-selectmenu-item",t)},_renderItem:function(t,i){var s=e("<li>");return i.disabled&&s.addClass("ui-state-disabled"),this._setText(s,i.label),s.appendTo(t)},_setText:function(e,t){t?e.text(t):e.html(" ")},_move:function(e,t){var i,s,n=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex):(i=this.menuItems.eq(this.element[0].selectedIndex),n+=":not(.ui-state-disabled)"),s="first"===e||"last"===e?i["first"===e?"prevAll":"nextAll"](n).eq(-1):i[e+"All"](n).eq(0),s.length&&this.menuInstance.focus(t,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex)},_toggle:function(e){this[this.isOpen?"close":"open"](e)},_setSelection:function(){var e;this.range&&(window.getSelection?(e=window.getSelection(),e.removeAllRanges(),e.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(e(t.target).closest(".ui-selectmenu-menu, #"+this.ids.button).length||this.close(t))}},_buttonEvents:{mousedown:function(){var e;window.getSelection?(e=window.getSelection(),e.rangeCount&&(this.range=e.getRangeAt(0))):this.range=document.selection.createRange()},click:function(e){this._setSelection(),this._toggle(e)},keydown:function(t){var i=!0;switch(t.keyCode){case e.ui.keyCode.TAB:case e.ui.keyCode.ESCAPE:this.close(t),i=!1;break;case e.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case e.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case e.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case e.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case e.ui.keyCode.LEFT:this._move("prev",t);break;case e.ui.keyCode.RIGHT:this._move("next",t);break;case e.ui.keyCode.HOME:case e.ui.keyCode.PAGE_UP:this._move("first",t);break;case e.ui.keyCode.END:case e.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),i=!1}i&&t.preventDefault()}},_selectFocusedItem:function(e){var t=this.menuItems.eq(this.focusIndex);t.hasClass("ui-state-disabled")||this._select(t.data("ui-selectmenu-item"),e)},_select:function(e,t){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=e.index,this._setText(this.buttonText,e.label),this._setAria(e),this._trigger("select",t,{item:e}),e.index!==i&&this._trigger("change",t,{item:e}),this.close(t)},_setAria:function(e){var t=this.menuItems.eq(e.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(e,t){"icons"===e&&this.button.find("span.ui-icon").removeClass(this.options.icons.button).addClass(t.button),this._super(e,t),"appendTo"===e&&this.menuWrap.appendTo(this._appendTo()),"disabled"===e&&(this.menuInstance.option("disabled",t),this.button.toggleClass("ui-state-disabled",t).attr("aria-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)),"width"===e&&this._resizeButton()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_toggleAttr:function(){this.button.toggleClass("ui-corner-top",this.isOpen).toggleClass("ui-corner-all",!this.isOpen).attr("aria-expanded",this.isOpen),this.menuWrap.toggleClass("ui-selectmenu-open",this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var e=this.options.width;e||(e=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(e)},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){return{disabled:this.element.prop("disabled")}},_parseOptions:function(t){var i=[];t.each(function(t,s){var n=e(s),a=n.parent("optgroup");i.push({element:n,index:t,value:n.val(),label:n.text(),optgroup:a.attr("label")||"",disabled:a.prop("disabled")||n.prop("disabled")})}),this.items=i},_destroy:function(){this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.label.attr("for",this.ids.element)}}),e.widget("ui.slider",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"slide",options:{animate:!1,distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this.element.addClass("ui-slider ui-slider-"+this.orientation+" ui-widget"+" ui-widget-content"+" ui-corner-all"),this._refresh(),this._setOption("disabled",this.options.disabled),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,i,s=this.options,n=this.element.find(".ui-slider-handle").addClass("ui-state-default ui-corner-all"),a="<span class='ui-slider-handle ui-state-default ui-corner-all' tabindex='0'></span>",o=[];for(i=s.values&&s.values.length||1,n.length>i&&(n.slice(i).remove(),n=n.slice(0,i)),t=n.length;i>t;t++)o.push(a);this.handles=n.add(e(o.join("")).appendTo(this.element)),this.handle=this.handles.eq(0),this.handles.each(function(t){e(this).data("ui-slider-handle-index",t)})},_createRange:function(){var t=this.options,i="";t.range?(t.range===!0&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:e.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?this.range.removeClass("ui-slider-range-min ui-slider-range-max").css({left:"",bottom:""}):(this.range=e("<div></div>").appendTo(this.element),i="ui-slider-range ui-widget-header ui-corner-all"),this.range.addClass(i+("min"===t.range||"max"===t.range?" ui-slider-range-"+t.range:""))):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this.element.removeClass("ui-slider ui-slider-horizontal ui-slider-vertical ui-widget ui-widget-content ui-corner-all"),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,a,o,r,h,l,u=this,d=this.options;return d.disabled?!1:(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),i={x:t.pageX,y:t.pageY},s=this._normValueFromMouse(i),n=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var i=Math.abs(s-u.values(t));(n>i||n===i&&(t===u._lastChangedValue||u.values(t)===d.min))&&(n=i,a=e(this),o=t)}),r=this._start(t,o),r===!1?!1:(this._mouseSliding=!0,this._handleIndex=o,a.addClass("ui-state-active").focus(),h=a.offset(),l=!e(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=l?{left:0,top:0}:{left:t.pageX-h.left-a.width()/2,top:t.pageY-h.top-a.height()/2-(parseInt(a.css("borderTopWidth"),10)||0)-(parseInt(a.css("borderBottomWidth"),10)||0)+(parseInt(a.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,s),this._animateOff=!0,!0))},_mouseStart:function(){return!0},_mouseDrag:function(e){var t={x:e.pageX,y:e.pageY},i=this._normValueFromMouse(t);return this._slide(e,this._handleIndex,i),!1},_mouseStop:function(e){return this.handles.removeClass("ui-state-active"),this._mouseSliding=!1,this._stop(e,this._handleIndex),this._change(e,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1,!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(e){var t,i,s,n,a;return"horizontal"===this.orientation?(t=this.elementSize.width,i=e.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(t=this.elementSize.height,i=e.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),s=i/t,s>1&&(s=1),0>s&&(s=0),"vertical"===this.orientation&&(s=1-s),n=this._valueMax()-this._valueMin(),a=this._valueMin()+s*n,this._trimAlignValue(a)},_start:function(e,t){var i={handle:this.handles[t],value:this.value()};return this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("start",e,i)},_slide:function(e,t,i){var s,n,a;this.options.values&&this.options.values.length?(s=this.values(t?0:1),2===this.options.values.length&&this.options.range===!0&&(0===t&&i>s||1===t&&s>i)&&(i=s),i!==this.values(t)&&(n=this.values(),n[t]=i,a=this._trigger("slide",e,{handle:this.handles[t],value:i,values:n}),s=this.values(t?0:1),a!==!1&&this.values(t,i))):i!==this.value()&&(a=this._trigger("slide",e,{handle:this.handles[t],value:i}),a!==!1&&this.value(i))},_stop:function(e,t){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("stop",e,i)},_change:function(e,t){if(!this._keySliding&&!this._mouseSliding){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._lastChangedValue=t,this._trigger("change",e,i)}},value:function(e){return arguments.length?(this.options.value=this._trimAlignValue(e),this._refreshValue(),this._change(null,0),void 0):this._value()},values:function(t,i){var s,n,a;if(arguments.length>1)return this.options.values[t]=this._trimAlignValue(i),this._refreshValue(),this._change(null,t),void 0;if(!arguments.length)return this._values();if(!e.isArray(arguments[0]))return this.options.values&&this.options.values.length?this._values(t):this.value();for(s=this.options.values,n=arguments[0],a=0;s.length>a;a+=1)s[a]=this._trimAlignValue(n[a]),this._change(null,a);this._refreshValue()},_setOption:function(t,i){var s,n=0;switch("range"===t&&this.options.range===!0&&("min"===i?(this.options.value=this._values(0),this.options.values=null):"max"===i&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),e.isArray(this.options.values)&&(n=this.options.values.length),"disabled"===t&&this.element.toggleClass("ui-state-disabled",!!i),this._super(t,i),t){case"orientation":this._detectOrientation(),this.element.removeClass("ui-slider-horizontal ui-slider-vertical").addClass("ui-slider-"+this.orientation),this._refreshValue(),this.handles.css("horizontal"===i?"bottom":"left","");break;case"value":this._animateOff=!0,this._refreshValue(),this._change(null,0),this._animateOff=!1;break;case"values":for(this._animateOff=!0,this._refreshValue(),s=0;n>s;s+=1)this._change(null,s);this._animateOff=!1;break;case"step":case"min":case"max":this._animateOff=!0,this._calculateNewMax(),this._refreshValue(),this._animateOff=!1;break;case"range":this._animateOff=!0,this._refresh(),this._animateOff=!1}},_value:function(){var e=this.options.value;return e=this._trimAlignValue(e)},_values:function(e){var t,i,s;if(arguments.length)return t=this.options.values[e],t=this._trimAlignValue(t);if(this.options.values&&this.options.values.length){for(i=this.options.values.slice(),s=0;i.length>s;s+=1)i[s]=this._trimAlignValue(i[s]);return i}return[]},_trimAlignValue:function(e){if(this._valueMin()>=e)return this._valueMin();if(e>=this._valueMax())return this._valueMax();var t=this.options.step>0?this.options.step:1,i=(e-this._valueMin())%t,s=e-i;return 2*Math.abs(i)>=t&&(s+=i>0?t:-t),parseFloat(s.toFixed(5))},_calculateNewMax:function(){var e=this.options.max,t=this._valueMin(),i=this.options.step,s=Math.floor(+(e-t).toFixed(this._precision())/i)*i;e=s+t,this.max=parseFloat(e.toFixed(this._precision()))},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshValue:function(){var t,i,s,n,a,o=this.options.range,r=this.options,h=this,l=this._animateOff?!1:r.animate,u={};this.options.values&&this.options.values.length?this.handles.each(function(s){i=100*((h.values(s)-h._valueMin())/(h._valueMax()-h._valueMin())),u["horizontal"===h.orientation?"left":"bottom"]=i+"%",e(this).stop(1,1)[l?"animate":"css"](u,r.animate),h.options.range===!0&&("horizontal"===h.orientation?(0===s&&h.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({width:i-t+"%"},{queue:!1,duration:r.animate})):(0===s&&h.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},r.animate),1===s&&h.range[l?"animate":"css"]({height:i-t+"%"},{queue:!1,duration:r.animate}))),t=i}):(s=this.value(),n=this._valueMin(),a=this._valueMax(),i=a!==n?100*((s-n)/(a-n)):0,u["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](u,r.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},r.animate),"max"===o&&"horizontal"===this.orientation&&this.range[l?"animate":"css"]({width:100-i+"%"},{queue:!1,duration:r.animate}),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},r.animate),"max"===o&&"vertical"===this.orientation&&this.range[l?"animate":"css"]({height:100-i+"%"},{queue:!1,duration:r.animate}))},_handleEvents:{keydown:function(t){var i,s,n,a,o=e(t.target).data("ui-slider-handle-index");switch(t.keyCode){case e.ui.keyCode.HOME:case e.ui.keyCode.END:case e.ui.keyCode.PAGE_UP:case e.ui.keyCode.PAGE_DOWN:case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,e(t.target).addClass("ui-state-active"),i=this._start(t,o),i===!1))return}switch(a=this.options.step,s=n=this.options.values&&this.options.values.length?this.values(o):this.value(),t.keyCode){case e.ui.keyCode.HOME:n=this._valueMin();break;case e.ui.keyCode.END:n=this._valueMax();break;case e.ui.keyCode.PAGE_UP:n=this._trimAlignValue(s+(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.PAGE_DOWN:n=this._trimAlignValue(s-(this._valueMax()-this._valueMin())/this.numPages);break;case e.ui.keyCode.UP:case e.ui.keyCode.RIGHT:if(s===this._valueMax())return;n=this._trimAlignValue(s+a);break;case e.ui.keyCode.DOWN:case e.ui.keyCode.LEFT:if(s===this._valueMin())return;n=this._trimAlignValue(s-a)}this._slide(t,o,n)},keyup:function(t){var i=e(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,i),this._change(t,i),e(t.target).removeClass("ui-state-active"))}}}),e.widget("ui.spinner",{version:"1.11.4",defaultElement:"<input>",widgetEventPrefix:"spin",options:{culture:null,icons:{down:"ui-icon-triangle-1-s",up:"ui-icon-triangle-1-n"},incremental:!0,max:null,min:null,numberFormat:null,page:10,step:1,change:null,spin:null,start:null,stop:null},_create:function(){this._setOption("max",this.options.max),this._setOption("min",this.options.min),this._setOption("step",this.options.step),""!==this.value()&&this._value(this.element.val(),!0),this._draw(),this._on(this._events),this._refresh(),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_getCreateOptions:function(){var t={},i=this.element;return e.each(["min","max","step"],function(e,s){var n=i.attr(s);void 0!==n&&n.length&&(t[s]=n)}),t},_events:{keydown:function(e){this._start(e)&&this._keydown(e)&&e.preventDefault()},keyup:"_stop",focus:function(){this.previous=this.element.val()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(this._stop(),this._refresh(),this.previous!==this.element.val()&&this._trigger("change",e),void 0)},mousewheel:function(e,t){if(t){if(!this.spinning&&!this._start(e))return!1;this._spin((t>0?1:-1)*this.options.step,e),clearTimeout(this.mousewheelTimer),this.mousewheelTimer=this._delay(function(){this.spinning&&this._stop(e)},100),e.preventDefault()}},"mousedown .ui-spinner-button":function(t){function i(){var e=this.element[0]===this.document[0].activeElement;e||(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s}))}var s;s=this.element[0]===this.document[0].activeElement?this.previous:this.element.val(),t.preventDefault(),i.call(this),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur,i.call(this)}),this._start(t)!==!1&&this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseup .ui-spinner-button":"_stop","mouseenter .ui-spinner-button":function(t){return e(t.currentTarget).hasClass("ui-state-active")?this._start(t)===!1?!1:(this._repeat(null,e(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t),void 0):void 0},"mouseleave .ui-spinner-button":"_stop"},_draw:function(){var e=this.uiSpinner=this.element.addClass("ui-spinner-input").attr("autocomplete","off").wrap(this._uiSpinnerHtml()).parent().append(this._buttonHtml());this.element.attr("role","spinbutton"),this.buttons=e.find(".ui-spinner-button").attr("tabIndex",-1).button().removeClass("ui-corner-all"),this.buttons.height()>Math.ceil(.5*e.height())&&e.height()>0&&e.height(e.height()),this.options.disabled&&this.disable()},_keydown:function(t){var i=this.options,s=e.ui.keyCode;switch(t.keyCode){case s.UP:return this._repeat(null,1,t),!0;case s.DOWN:return this._repeat(null,-1,t),!0;case s.PAGE_UP:return this._repeat(null,i.page,t),!0;case s.PAGE_DOWN:return this._repeat(null,-i.page,t),!0}return!1},_uiSpinnerHtml:function(){return"<span class='ui-spinner ui-widget ui-widget-content ui-corner-all'></span>"},_buttonHtml:function(){return"<a class='ui-spinner-button ui-spinner-up ui-corner-tr'><span class='ui-icon "+this.options.icons.up+"'>▲</span>"+"</a>"+"<a class='ui-spinner-button ui-spinner-down ui-corner-br'>"+"<span class='ui-icon "+this.options.icons.down+"'>▼</span>"+"</a>"},_start:function(e){return this.spinning||this._trigger("start",e)!==!1?(this.counter||(this.counter=1),this.spinning=!0,!0):!1},_repeat:function(e,t,i){e=e||500,clearTimeout(this.timer),this.timer=this._delay(function(){this._repeat(40,t,i)},e),this._spin(t*this.options.step,i)},_spin:function(e,t){var i=this.value()||0;this.counter||(this.counter=1),i=this._adjustValue(i+e*this._increment(this.counter)),this.spinning&&this._trigger("spin",t,{value:i})===!1||(this._value(i),this.counter++)},_increment:function(t){var i=this.options.incremental;return i?e.isFunction(i)?i(t):Math.floor(t*t*t/5e4-t*t/500+17*t/200+1):1},_precision:function(){var e=this._precisionOf(this.options.step);return null!==this.options.min&&(e=Math.max(e,this._precisionOf(this.options.min))),e},_precisionOf:function(e){var t=""+e,i=t.indexOf(".");return-1===i?0:t.length-i-1},_adjustValue:function(e){var t,i,s=this.options;return t=null!==s.min?s.min:0,i=e-t,i=Math.round(i/s.step)*s.step,e=t+i,e=parseFloat(e.toFixed(this._precision())),null!==s.max&&e>s.max?s.max:null!==s.min&&s.min>e?s.min:e},_stop:function(e){this.spinning&&(clearTimeout(this.timer),clearTimeout(this.mousewheelTimer),this.counter=0,this.spinning=!1,this._trigger("stop",e))},_setOption:function(e,t){if("culture"===e||"numberFormat"===e){var i=this._parse(this.element.val());return this.options[e]=t,this.element.val(this._format(i)),void 0}("max"===e||"min"===e||"step"===e)&&"string"==typeof t&&(t=this._parse(t)),"icons"===e&&(this.buttons.first().find(".ui-icon").removeClass(this.options.icons.up).addClass(t.up),this.buttons.last().find(".ui-icon").removeClass(this.options.icons.down).addClass(t.down)),this._super(e,t),"disabled"===e&&(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),this.buttons.button(t?"disable":"enable"))},_setOptions:s(function(e){this._super(e)}),_parse:function(e){return"string"==typeof e&&""!==e&&(e=window.Globalize&&this.options.numberFormat?Globalize.parseFloat(e,10,this.options.culture):+e),""===e||isNaN(e)?null:e },_format:function(e){return""===e?"":window.Globalize&&this.options.numberFormat?Globalize.format(e,this.options.numberFormat,this.options.culture):e},_refresh:function(){this.element.attr({"aria-valuemin":this.options.min,"aria-valuemax":this.options.max,"aria-valuenow":this._parse(this.element.val())})},isValid:function(){var e=this.value();return null===e?!1:e===this._adjustValue(e)},_value:function(e,t){var i;""!==e&&(i=this._parse(e),null!==i&&(t||(i=this._adjustValue(i)),e=this._format(i))),this.element.val(e),this._refresh()},_destroy:function(){this.element.removeClass("ui-spinner-input").prop("disabled",!1).removeAttr("autocomplete").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.uiSpinner.replaceWith(this.element)},stepUp:s(function(e){this._stepUp(e)}),_stepUp:function(e){this._start()&&(this._spin((e||1)*this.options.step),this._stop())},stepDown:s(function(e){this._stepDown(e)}),_stepDown:function(e){this._start()&&(this._spin((e||1)*-this.options.step),this._stop())},pageUp:s(function(e){this._stepUp((e||1)*this.options.page)}),pageDown:s(function(e){this._stepDown((e||1)*this.options.page)}),value:function(e){return arguments.length?(s(this._value).call(this,e),void 0):this._parse(this.element.val())},widget:function(){return this.uiSpinner}}),e.widget("ui.tabs",{version:"1.11.4",delay:300,options:{active:null,collapsible:!1,event:"click",heightStyle:"content",hide:null,show:null,activate:null,beforeActivate:null,beforeLoad:null,load:null},_isLocal:function(){var e=/#.*$/;return function(t){var i,s;t=t.cloneNode(!1),i=t.href.replace(e,""),s=location.href.replace(e,"");try{i=decodeURIComponent(i)}catch(n){}try{s=decodeURIComponent(s)}catch(n){}return t.hash.length>1&&i===s}}(),_create:function(){var t=this,i=this.options;this.running=!1,this.element.addClass("ui-tabs ui-widget ui-widget-content ui-corner-all").toggleClass("ui-tabs-collapsible",i.collapsible),this._processTabs(),i.active=this._initialActive(),e.isArray(i.disabled)&&(i.disabled=e.unique(i.disabled.concat(e.map(this.tabs.filter(".ui-state-disabled"),function(e){return t.tabs.index(e)}))).sort()),this.active=this.options.active!==!1&&this.anchors.length?this._findActive(i.active):e(),this._refresh(),this.active.length&&this.load(i.active)},_initialActive:function(){var t=this.options.active,i=this.options.collapsible,s=location.hash.substring(1);return null===t&&(s&&this.tabs.each(function(i,n){return e(n).attr("aria-controls")===s?(t=i,!1):void 0}),null===t&&(t=this.tabs.index(this.tabs.filter(".ui-tabs-active"))),(null===t||-1===t)&&(t=this.tabs.length?0:!1)),t!==!1&&(t=this.tabs.index(this.tabs.eq(t)),-1===t&&(t=i?!1:0)),!i&&t===!1&&this.anchors.length&&(t=0),t},_getCreateEventData:function(){return{tab:this.active,panel:this.active.length?this._getPanelForTab(this.active):e()}},_tabKeydown:function(t){var i=e(this.document[0].activeElement).closest("li"),s=this.tabs.index(i),n=!0;if(!this._handlePageNav(t)){switch(t.keyCode){case e.ui.keyCode.RIGHT:case e.ui.keyCode.DOWN:s++;break;case e.ui.keyCode.UP:case e.ui.keyCode.LEFT:n=!1,s--;break;case e.ui.keyCode.END:s=this.anchors.length-1;break;case e.ui.keyCode.HOME:s=0;break;case e.ui.keyCode.SPACE:return t.preventDefault(),clearTimeout(this.activating),this._activate(s),void 0;case e.ui.keyCode.ENTER:return t.preventDefault(),clearTimeout(this.activating),this._activate(s===this.options.active?!1:s),void 0;default:return}t.preventDefault(),clearTimeout(this.activating),s=this._focusNextTab(s,n),t.ctrlKey||t.metaKey||(i.attr("aria-selected","false"),this.tabs.eq(s).attr("aria-selected","true"),this.activating=this._delay(function(){this.option("active",s)},this.delay))}},_panelKeydown:function(t){this._handlePageNav(t)||t.ctrlKey&&t.keyCode===e.ui.keyCode.UP&&(t.preventDefault(),this.active.focus())},_handlePageNav:function(t){return t.altKey&&t.keyCode===e.ui.keyCode.PAGE_UP?(this._activate(this._focusNextTab(this.options.active-1,!1)),!0):t.altKey&&t.keyCode===e.ui.keyCode.PAGE_DOWN?(this._activate(this._focusNextTab(this.options.active+1,!0)),!0):void 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.tocify .tocify-item > a, .tocify .nav-list .nav-header { margin: 0px; } .tocify .tocify-item a, .tocify .list-group-item { padding: 5px; } .tocify .nav-pills > li { float: none; } </style> <script>/* jquery Tocify - v1.9.1 - 2013-10-22 * http://www.gregfranko.com/jquery.tocify.js/ * Copyright (c) 2013 Greg Franko; Licensed MIT */ // Immediately-Invoked Function Expression (IIFE) [Ben Alman Blog Post](http://benalman.com/news/2010/11/immediately-invoked-function-expression/) that calls another IIFE that contains all of the plugin logic. I used this pattern so that anyone viewing this code would not have to scroll to the bottom of the page to view the local parameters that were passed to the main IIFE. (function(tocify) { // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/) "use strict"; // Calls the second IIFE and locally passes in the global jQuery, window, and document objects tocify(window.jQuery, window, document); } // Locally passes in `jQuery`, the `window` object, the `document` object, and an `undefined` variable. The `jQuery`, `window` and `document` objects are passed in locally, to improve performance, since javascript first searches for a variable match within the local variables set before searching the global variables set. All of the global variables are also passed in locally to be minifier friendly. `undefined` can be passed in locally, because it is not a reserved word in JavaScript. (function($, window, document, undefined) { // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/) "use strict"; var tocClassName = "tocify", tocClass = "." + tocClassName, tocFocusClassName = "tocify-focus", tocHoverClassName = "tocify-hover", hideTocClassName = "tocify-hide", hideTocClass = "." + hideTocClassName, headerClassName = "tocify-header", headerClass = "." + headerClassName, subheaderClassName = "tocify-subheader", subheaderClass = "." + subheaderClassName, itemClassName = "tocify-item", itemClass = "." + itemClassName, extendPageClassName = "tocify-extend-page", extendPageClass = "." + extendPageClassName; // Calling the jQueryUI Widget Factory Method $.widget("toc.tocify", { //Plugin version version: "1.9.1", // These options will be used as defaults options: { // **context**: Accepts String: Any jQuery selector // The container element that holds all of the elements used to generate the table of contents context: "body", // **ignoreSelector**: Accepts String: Any jQuery selector // A selector to any element that would be matched by selectors that you wish to be ignored ignoreSelector: null, // **selectors**: Accepts an Array of Strings: Any jQuery selectors // The element's used to generate the table of contents. The order is very important since it will determine the table of content's nesting structure selectors: "h1, h2, h3", // **showAndHide**: Accepts a boolean: true or false // Used to determine if elements should be shown and hidden showAndHide: true, // **showEffect**: Accepts String: "none", "fadeIn", "show", or "slideDown" // Used to display any of the table of contents nested items showEffect: "slideDown", // **showEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast" // The time duration of the show animation showEffectSpeed: "medium", // **hideEffect**: Accepts String: "none", "fadeOut", "hide", or "slideUp" // Used to hide any of the table of contents nested items hideEffect: "slideUp", // **hideEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast" // The time duration of the hide animation hideEffectSpeed: "medium", // **smoothScroll**: Accepts a boolean: true or false // Determines if a jQuery animation should be used to scroll to specific table of contents items on the page smoothScroll: true, // **smoothScrollSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast" // The time duration of the smoothScroll animation smoothScrollSpeed: "medium", // **scrollTo**: Accepts Number (pixels) // The amount of space between the top of page and the selected table of contents item after the page has been scrolled scrollTo: 0, // **showAndHideOnScroll**: Accepts a boolean: true or false // Determines if table of contents nested items should be shown and hidden while scrolling showAndHideOnScroll: true, // **highlightOnScroll**: Accepts a boolean: true or false // Determines if table of contents nested items should be highlighted (set to a different color) while scrolling highlightOnScroll: true, // **highlightOffset**: Accepts a number // The offset distance in pixels to trigger the next active table of contents item highlightOffset: 40, // **theme**: Accepts a string: "bootstrap", "jqueryui", or "none" // Determines if Twitter Bootstrap, jQueryUI, or Tocify classes should be added to the table of contents theme: "bootstrap", // **extendPage**: Accepts a boolean: true or false // If a user scrolls to the bottom of the page and the page is not tall enough to scroll to the last table of contents item, then the page height is increased extendPage: true, // **extendPageOffset**: Accepts a number: pixels // How close to the bottom of the page a user must scroll before the page is extended extendPageOffset: 100, // **history**: Accepts a boolean: true or false // Adds a hash to the page url to maintain history history: true, // **scrollHistory**: Accepts a boolean: true or false // Adds a hash to the page url, to maintain history, when scrolling to a TOC item scrollHistory: false, // **hashGenerator**: How the hash value (the anchor segment of the URL, following the // # character) will be generated. // // "compact" (default) - #CompressesEverythingTogether // "pretty" - #looks-like-a-nice-url-and-is-easily-readable // function(text, element){} - Your own hash generation function that accepts the text as an // argument, and returns the hash value. hashGenerator: "compact", // **highlightDefault**: Accepts a boolean: true or false // Set's the first TOC item as active if no other TOC item is active. highlightDefault: true }, // _Create // ------- // Constructs the plugin. Only called once. _create: function() { var self = this; self.extendPageScroll = true; // Internal array that keeps track of all TOC items (Helps to recognize if there are duplicate TOC item strings) self.items = []; // Generates the HTML for the dynamic table of contents self._generateToc(); // Adds CSS classes to the newly generated table of contents HTML self._addCSSClasses(); self.webkit = (function() { for (var prop in window) { if (prop) { if (prop.toLowerCase().indexOf("webkit") !== -1) { return true; } } } return false; }()); // Adds jQuery event handlers to the newly generated table of contents self._setEventHandlers(); // Binding to the Window load event to make sure the correct scrollTop is calculated $(window).load(function() { // Sets the active TOC item self._setActiveElement(true); // Once all animations on the page are complete, this callback function will be called $("html, body").promise().done(function() { setTimeout(function() { self.extendPageScroll = false; }, 0); }); }); }, // _generateToc // ------------ // Generates the HTML for the dynamic table of contents _generateToc: function() { // _Local variables_ // Stores the plugin context in the self variable var self = this, // All of the HTML tags found within the context provided (i.e. body) that match the top level jQuery selector above firstElem, // Instantiated variable that will store the top level newly created unordered list DOM element ul, ignoreSelector = self.options.ignoreSelector; // Determine the element to start the toc with // get all the top level selectors firstElem = []; var selectors = this.options.selectors.replace(/ /g, "").split(","); // find the first set that have at least one non-ignored element for(var i = 0; i < selectors.length; i++) { var foundSelectors = $(this.options.context).find(selectors[i]); for (var s = 0; s < foundSelectors.length; s++) { if (!$(foundSelectors[s]).is(ignoreSelector)) { firstElem = foundSelectors; break; } } if (firstElem.length> 0) break; } if (!firstElem.length) { self.element.addClass(hideTocClassName); return; } self.element.addClass(tocClassName); // Loops through each top level selector firstElem.each(function(index) { //If the element matches the ignoreSelector then we skip it if ($(this).is(ignoreSelector)) { return; } // Creates an unordered list HTML element and adds a dynamic ID and standard class name ul = $("<ul/>", { "id": headerClassName + index, "class": headerClassName }). // Appends a top level list item HTML element to the previously created HTML header append(self._nestElements($(this), index)); // Add the created unordered list element to the HTML element calling the plugin self.element.append(ul); // Finds all of the HTML tags between the header and subheader elements $(this).nextUntil(this.nodeName.toLowerCase()).each(function() { // If there are no nested subheader elemements if ($(this).find(self.options.selectors).length === 0) { // Loops through all of the subheader elements $(this).filter(self.options.selectors).each(function() { //If the element matches the ignoreSelector then we skip it if ($(this).is(ignoreSelector)) { return; } self._appendSubheaders.call(this, self, ul); }); } // If there are nested subheader elements else { // Loops through all of the subheader elements $(this).find(self.options.selectors).each(function() { //If the element matches the ignoreSelector then we skip it if ($(this).is(ignoreSelector)) { return; } self._appendSubheaders.call(this, self, ul); }); } }); }); }, _setActiveElement: function(pageload) { var self = this, hash = window.location.hash.substring(1), elem = self.element.find('li[data-unique="' + hash + '"]'); if (hash.length) { // Removes highlighting from all of the list item's self.element.find("." + self.focusClass).removeClass(self.focusClass); // Highlights the current list item that was clicked elem.addClass(self.focusClass); // Triggers the click event on the currently focused TOC item elem.click(); } else { // Removes highlighting from all of the list item's self.element.find("." + self.focusClass).removeClass(self.focusClass); if (!hash.length && pageload && self.options.highlightDefault) { // Highlights the first TOC item if no other items are highlighted self.element.find(itemClass).first().addClass(self.focusClass); } } return self; }, // _nestElements // ------------- // Helps create the table of contents list by appending nested list items _nestElements: function(self, index) { var arr, item, hashValue; arr = $.grep(this.items, function(item) { return item === self.text(); }); // If there is already a duplicate TOC item if (arr.length) { // Adds the current TOC item text and index (for slight randomization) to the internal array this.items.push(self.text() + index); } // If there not a duplicate TOC item else { // Adds the current TOC item text to the internal array this.items.push(self.text()); } hashValue = this._generateHashValue(arr, self, index); // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin item = $("<li/>", { // Sets a common class name to the list item "class": itemClassName, "data-unique": hashValue }); if (this.options.theme !== "bootstrap3") { item.append($("<a/>", { "html": self.html() })); } else { item.html(self.html()); } // Adds an HTML anchor tag before the currently traversed HTML element self.before($("<div/>", { // Sets a name attribute on the anchor tag to the text of the currently traversed HTML element (also making sure that all whitespace is replaced with an underscore) "name": hashValue, "data-unique": hashValue })); return item; }, // _generateHashValue // ------------------ // Generates the hash value that will be used to refer to each item. _generateHashValue: function(arr, self, index) { var hashValue = "", hashGeneratorOption = this.options.hashGenerator; if (hashGeneratorOption === "pretty") { // prettify the text hashValue = self.text().toLowerCase().replace(/\s/g, "-"); // fix double hyphens while (hashValue.indexOf("--") > -1) { hashValue = hashValue.replace(/--/g, "-"); } // fix colon-space instances while (hashValue.indexOf(":-") > -1) { hashValue = hashValue.replace(/:-/g, "-"); } } else if (typeof hashGeneratorOption === "function") { // call the function hashValue = hashGeneratorOption(self.text(), self); } else { // compact - the default hashValue = self.text().replace(/\s/g, ""); } // add the index if we need to if (arr.length) { hashValue += "" + index; } // return the value return hashValue; }, // _appendElements // --------------- // Helps create the table of contents list by appending subheader elements _appendSubheaders: function(self, ul) { // The current element index var index = $(this).index(self.options.selectors), // Finds the previous header DOM element previousHeader = $(self.options.selectors).eq(index - 1), currentTagName = +$(this).prop("tagName").charAt(1), previousTagName = +previousHeader.prop("tagName").charAt(1), lastSubheader; // If the current header DOM element is smaller than the previous header DOM element or the first subheader if (currentTagName < previousTagName) { // Selects the last unordered list HTML found within the HTML element calling the plugin self.element.find(subheaderClass + "[data-tag=" + currentTagName + "]").last().append(self._nestElements($(this), index)); } // If the current header DOM element is the same type of header(eg. h4) as the previous header DOM element else if (currentTagName === previousTagName) { ul.find(itemClass).last().after(self._nestElements($(this), index)); } else { // Selects the last unordered list HTML found within the HTML element calling the plugin ul.find(itemClass).last(). // Appends an unorderedList HTML element to the dynamic `unorderedList` variable and sets a common class name after($("<ul/>", { "class": subheaderClassName, "data-tag": currentTagName })).next(subheaderClass). // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin append(self._nestElements($(this), index)); } }, // _setEventHandlers // ---------------- // Adds jQuery event handlers to the newly generated table of contents _setEventHandlers: function() { // _Local variables_ // Stores the plugin context in the self variable var self = this, // Instantiates a new variable that will be used to hold a specific element's context $self, // Instantiates a new variable that will be used to determine the smoothScroll animation time duration duration; // Event delegation that looks for any clicks on list item elements inside of the HTML element calling the plugin this.element.on("click.tocify", "li", function(event) { if (self.options.history) { window.location.hash = $(this).attr("data-unique"); } // Removes highlighting from all of the list item's self.element.find("." + self.focusClass).removeClass(self.focusClass); // Highlights the current list item that was clicked $(this).addClass(self.focusClass); // If the showAndHide option is true if (self.options.showAndHide) { var elem = $('li[data-unique="' + $(this).attr("data-unique") + '"]'); self._triggerShow(elem); } self._scrollTo($(this)); }); // Mouseenter and Mouseleave event handlers for the list item's within the HTML element calling the plugin this.element.find("li").on({ // Mouseenter event handler "mouseenter.tocify": function() { // Adds a hover CSS class to the current list item $(this).addClass(self.hoverClass); // Makes sure the cursor is set to the pointer icon $(this).css("cursor", "pointer"); 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display: none; } </style> <!-- code folding --> <style type="text/css"> .code-folding-btn { margin-bottom: 4px; } </style> <style type="text/css"> #TOC { margin: 25px 0px 20px 0px; } @media (max-width: 768px) { #TOC { position: relative; width: 100%; } } .toc-content { padding-left: 30px; padding-right: 40px; } div.main-container { max-width: 1200px; } div.tocify { width: 20%; max-width: 260px; max-height: 85%; } @media (min-width: 768px) and (max-width: 991px) { div.tocify { width: 25%; } } @media (max-width: 767px) { div.tocify { width: 100%; max-width: none; } } .tocify ul, .tocify li { line-height: 20px; } .tocify-subheader .tocify-item { font-size: 0.90em; } .tocify .list-group-item { border-radius: 0px; } </style> </head> <body> <div class="container-fluid main-container"> <!-- setup 3col/9col grid for toc_float and main content --> <div class="row-fluid"> <div class="col-xs-12 col-sm-4 col-md-3"> <div id="TOC" class="tocify"> </div> </div> <div class="toc-content col-xs-12 col-sm-8 col-md-9"> <div class="fluid-row" id="header"> <div class="btn-group pull-right"> <button type="button" class="btn btn-default btn-xs dropdown-toggle" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"><span>Code</span> <span class="caret"></span></button> <ul class="dropdown-menu" style="min-width: 50px;"> <li><a id="rmd-show-all-code" href="#">Show All Code</a></li> <li><a id="rmd-hide-all-code" href="#">Hide All Code</a></li> <li role="separator" class="divider"></li> <li><a id="rmd-download-source" href="#">Download Rmd</a></li> </ul> </div> <h1 class="title toc-ignore">IMPC Mouse data - Variance in sex differences</h1> <h3 class="subtitle">Electronic Supplementary Material</h3> <h4 class="author">Susanne Zajitschek, Felix Zajitschek, Russell Bonduriansky,Robert Brooks, Will Cornwell, Daniel Falster, Malgortaza Lagisz, Jeremy Mason, Daniel Noble, Alistair Senior & Shinichi Nakagawa</h4> <h4 class="date">August 2019</h4> </div> <div id="set-up" class="section level1"> <h1>Set-up</h1> <div id="loading-packages-custom-functions" class="section level2"> <h2>Loading packages & custom functions</h2> <pre class="r"><code>library(readr) library(dplyr) library(metafor) library(devtools) library(purrr) library(tidyverse) library(tidyr) library(tibble) library(kableExtra) library(robumeta) library(ggpubr) library(ggplot2) library(here)</code></pre> </div> <div id="functions" class="section level2"> <h2>Functions</h2> <p>for preparing the data for meta analyses</p> <div id="subsetting-data" class="section level3"> <h3>1) Subsetting data</h3> <p>Create function for sub-setting the data to choose only one data point per individual per trait: “data_subset_parameterid_individual_by_age”</p> <pre class="r"><code>data_subset_parameterid_individual_by_age <- function(mydata, parameter, age_min = 0, age_center = 100) { tmp <- mydata %>% filter(age_in_days >= age_min, id == parameter) %>% # take results for single individual closest to age_center mutate(age_diff = abs(age_center - age_in_days)) %>% group_by(biological_sample_id) %>% filter(age_diff == min(age_diff)) %>% select(-age_diff) # %>% # filter(!duplicated(biological_sample_id)) #Felix 6/2/2020: this line can # be deleted # still some individuals with multiple records (because same individual # appear under different procedures, so filter to one record) j <- match(unique(tmp$biological_sample_id), tmp$biological_sample_id) tmp[j, ] }</code></pre> </div> <div id="population-statistics" class="section level3"> <h3>2) “Population statistics”</h3> <p>Create function called: “calculate_population_stats” This function groups animals from the same strain and same insitiution together. This is done for each trait seoarately, and only for traits that have been measured in both sexes. Any group containing fewer than 5 individuals is excluded.</p> <pre class="r"><code>calculate_population_stats <- function(mydata, min_individuals = 5) { mydata %>% group_by(population, strain_name, production_center, sex) %>% summarise(trait = parameter_name[1], x_bar = mean(data_point), x_sd = sd(data_point), n_ind = n()) %>% ungroup() %>% filter(n_ind > min_individuals) %>% # Check both sexes present & filter those missing group_by(population) %>% mutate(n_sex = n_distinct(sex)) %>% ungroup() %>% filter(n_sex == 2) %>% select(-n_sex) %>% arrange(production_center, strain_name, population, sex) }</code></pre> </div> <div id="extraction-of-effect-sizes-and-sample-variances" class="section level3"> <h3>3) Extraction of effect sizes and sample variances</h3> <p>Function: “create_meta_analysis_effect_sizes”</p> <pre class="r"><code>create_meta_analysis_effect_sizes <- function(mydata) { i <- seq(1, nrow(mydata), by = 2) input <- data.frame(n1i = mydata$n_ind[i], n2i = mydata$n_ind[i + 1], x1i = mydata$x_bar[i], x2i = mydata$x_bar[i + 1], sd1i = mydata$x_sd[i], sd2i = mydata$x_sd[i + 1]) mydata[i, ] %>% select(strain_name, production_center, trait) %>% mutate(effect_size_CVR = calculate_lnCVR(CMean = input$x1i, CSD = input$sd1i, CN = input$n1i, EMean = input$x2i, ESD = input$sd2i, EN = input$n2i), sample_variance_CVR = calculate_var_lnCVR(CMean = input$x1i, CSD = input$sd1i, CN = input$n1i, EMean = input$x2i, ESD = input$sd2i, EN = input$n2i), effect_size_VR = calculate_lnVR(CSD = input$sd1i, CN = input$n1i, ESD = input$sd2i, EN = input$n2i), sample_variance_VR = calculate_var_lnVR(CN = input$n1i, EN = input$n2i), effect_size_RR = calculate_lnRR(CMean = input$x1i, CSD = input$sd1i, CN = input$n1i, EMean = input$x2i, ESD = input$sd2i, EN = input$n2i), sample_variance_RR = calculate_var_lnRR(CMean = input$x1i, CSD = input$sd1i, CN = input$n1i, EMean = input$x2i, ESD = input$sd2i, EN = input$n2i), err = as.factor(seq_len(n()))) }</code></pre> </div> <div id="calculate-meta-analysis-statistics" class="section level3"> <h3>4) Calculate meta-analysis statistics</h3> <p>Based on a function created by A M Senior @ the University of Otago NZ 03/01/2014:</p> <ul> <li>Calculates effect sizes for meta-analysis of variance. All functions take the mean, sd and n from the control and experimental groups.</li> <li>The first function, calculate_lnCVR, calculates the the log response-ratio of the coefficient of variance (lnCVR) - see Nakagawa et al 2015.</li> <li>The second function calculates the measurement error variance for lnCVR. As well as the aforementioned parameters, this function also takes Equal_E_C_Corr (default = T), which must be True or False. If true, the function assumes that the correlation between mean and sd (Taylor’s Law) is equal for the mean and control groups, and, thus these data are pooled. If False the mean-SD correlation for the experimental and control groups are calculated separately from one another.</li> <li>Similar functions are then implemented for lnVR (for comparison of standard deviations) and ln RR (for comparison of means)</li> </ul> <pre class="r"><code>calculate_lnCVR <- function(CMean, CSD, CN, EMean, ESD, EN) { log(ESD) - log(EMean) + 1/(2 * (EN - 1)) - (log(CSD) - log(CMean) + 1/(2 * (CN - 1))) } calculate_var_lnCVR <- function(CMean, CSD, CN, EMean, ESD, EN, Equal_E_C_Corr = T) { if (Equal_E_C_Corr == T) { mvcorr <- 0 # cor.test(log(c(CMean, EMean)), log(c(CSD, ESD)))$estimate old, slightly incorrect S2 <- CSD^2/(CN * (CMean^2)) + 1/(2 * (CN - 1)) - 2 * mvcorr * sqrt((CSD^2/(CN * (CMean^2))) * (1/(2 * (CN - 1)))) + ESD^2/(EN * (EMean^2)) + 1/(2 * (EN - 1)) - 2 * mvcorr * sqrt((ESD^2/(EN * (EMean^2))) * (1/(2 * (EN - 1)))) } else { Cmvcorr <- cor.test(log(CMean), log(CSD))$estimate Emvcorr <- cor.test(log(EMean), (ESD))$estimate S2 <- CSD^2/(CN * (CMean^2)) + 1/(2 * (CN - 1)) - 2 * Cmvcorr * sqrt((CSD^2/(CN * (CMean^2))) * (1/(2 * (CN - 1)))) + ESD^2/(EN * (EMean^2)) + 1/(2 * (EN - 1)) - 2 * Emvcorr * sqrt((ESD^2/(EN * (EMean^2))) * (1/(2 * (EN - 1)))) } S2 } calculate_lnVR <- function(CSD, CN, ESD, EN) { log(ESD) - log(CSD) + 1/(2 * (EN - 1)) - 1/(2 * (CN - 1)) } calculate_var_lnVR <- function(CN, EN) { 1/(2 * (EN - 1)) + 1/(2 * (CN - 1)) } calculate_lnRR <- function(CMean, CSD, CN, EMean, ESD, EN) { log(EMean) - log(CMean) } calculate_var_lnRR <- function(CMean, CSD, CN, EMean, ESD, EN) { CSD^2/(CN * CMean^2) + ESD^2/(EN * EMean^2) }</code></pre> </div> </div> <div id="load-clean-data" class="section level2"> <h2>Load & clean data</h2> <div id="data-loading-and-cleaning-of-the-csv-file" class="section level3"> <h3>1) Data loading and cleaning of the csv file</h3> <p>This step we have already done and provide a cleaned up file which is less computing intensive and which we have saved in a folder called <code>export</code>. However, the cvs is provided in case this is preferred to be attempted, following the steps below:</p> <pre class="r"><code># loads the raw data, setting some default types for various columns load_raw <- function(filename) { read_csv(filename, col_types = cols(.default = col_character(), project_id = col_character(), id = col_character(), parameter_id = col_character(), age_in_days = col_integer(), date_of_experiment = col_datetime(format = ""), weight = col_double(), phenotyping_center_id = col_character(), production_center_id = col_character(), weight_date = col_datetime(format = ""), date_of_birth = col_datetime(format = ""), procedure_id = col_character(), pipeline_id = col_character(), biological_sample_id = col_character(), biological_model_id = col_character(), weight_days_old = col_integer(), datasource_id = col_character(), experiment_id = col_character(), data_point = col_double(), age_in_weeks = col_integer(), `_version_` = col_character())) } # Apply some standard cleaning to the data clean_raw_data <- function(mydata) { group <- read_csv(here("data", "ParameterGrouping.csv")) tmp <- mydata %>% # Filter to IMPC source (recommend by Jeremey in email to Susi on 20 Aug # 2018) filter(datasource_name == "IMPC") %>% # standardise trait names mutate(parameter_name = tolower(parameter_name)) %>% # remove extreme ages filter(age_in_days > 0 & age_in_days < 500) %>% # remove NAs filter(!is.na(data_point)) %>% # subset to reasonable set of variables, date_of_experiment used as an # indicator of batch-level effects select(production_center, strain_name, strain_accession_id, biological_sample_id, pipeline_stable_id, procedure_group, procedure_name, sex, date_of_experiment, age_in_days, weight, parameter_name, data_point) %>% # sort arrange(production_center, biological_sample_id, age_in_days) # filter to groups with > 1 centre merge(tmp, tmp %>% group_by(parameter_name) %>% summarise(center_per_trait = length(unique(production_center, na.rm = TRUE)))) %>% filter(center_per_trait >= 2) %>% # Define population variable mutate(population = sprintf("%s-%s", production_center, strain_name)) %>% # add grouping variable: these were decided based on functional groups and # procedures mutate(parameter_group = group$parameter[match(parameter_name, group$parameter_name)]) %>% # Assign unique IDs (per trait) each unique parameter_name (=trait,use trait # variable) gets a unique number ('id') # We add a new variable, where redundant traits are combined [note however, # at this stage the dataset still contains nonsensical traits, i.e. traits # that may not contain any information on variance] mutate(id = match(parameter_name, unique(parameter_name))) %>% as_tibble() } # Load raw data - save cleaned dataset as RDS for reuse data_raw <- load_raw(here("data", "dr7.0_all_control_data.csv.gz")) dir.create("export", F, F) data <- data_raw %>% clean_raw_data() saveRDS(data, "export/data_clean.rds")</code></pre> <p>For analysis we load the RDS created above and other datasets:</p> <pre class="r"><code>data <- readRDS(here("export", "data_clean.rds")) procedures <- read_csv(here("data", "procedures.csv"))</code></pre> <p>Checking length of different variables and sample sizes.</p> </div> <div id="table-1-strains-and-center-sample-sizes" class="section level3"> <h3>Table 1: “Strains and Center Sample Sizes”</h3> <p>This table summarises the available numbers of male and female mice from each strain and originating institution.</p> <pre><code>## # A tibble: 46 x 4 ## # Groups: production_center, strain_name [24] ## production_center strain_name sex n ## <chr> <chr> <chr> <int> ## 1 BCM C57BL/6N female 653 ## 2 BCM C57BL/6N male 639 ## 3 BCM C57BL/6N;C57BL/6NTac female 47 ## 4 BCM C57BL/6N;C57BL/6NTac male 52 ## 5 BCM C57BL/6NCrl female 4 ## 6 BCM C57BL/6NCrl male 2 ## 7 BCM C57BL/6NJ female 6 ## 8 BCM C57BL/6NJ male 6 ## 9 BCM C57BL/6NTac female 1 ## 10 BCM C57BL/6NTac male 5 ## 11 HMGU C57BL/6NCrl female 313 ## 12 HMGU C57BL/6NCrl male 311 ## 13 HMGU C57BL/6NTac female 1045 ## 14 HMGU C57BL/6NTac male 1062 ## 15 ICS C57BL/6N female 1025 ## 16 ICS C57BL/6N male 1050 ## 17 JAX C57BL/6NJ female 2025 ## 18 JAX C57BL/6NJ male 2022 ## 19 KMPC C57BL/6N;C57BL/6NTac female 271 ## 20 KMPC C57BL/6N;C57BL/6NTac male 266 ## 21 MARC C57BL/6N female 936 ## 22 MARC C57BL/6N male 926 ## 23 MRC Harwell C57BL/6NTac female 2639 ## 24 MRC Harwell C57BL/6NTac male 2661 ## 25 MRC Harwell C57BL/6NTac no_data 3 ## 26 RBRC C57BL/6NJcl female 222 ## 27 RBRC C57BL/6NJcl male 222 ## 28 RBRC C57BL/6NTac female 526 ## 29 RBRC C57BL/6NTac male 523 ## 30 TCP C57BL/6NCrl female 552 ## 31 TCP C57BL/6NCrl male 524 ## 32 TCP C57BL6/NCrl female 2 ## 33 TCP C57BL6/NCrl male 2 ## 34 UC Davis C57BL/6N male 1 ## 35 UC Davis C57BL/6NCrl female 1155 ## 36 UC Davis C57BL/6NCrl male 1158 ## 37 WTSI B6Brd;B6Dnk;B6N-Tyr<c-Brd> female 97 ## 38 WTSI B6Brd;B6Dnk;B6N-Tyr<c-Brd> male 87 ## 39 WTSI C57BL/6J-Tyr<c-Brd> or C57BL/6NTac/USA male 3 ## 40 WTSI C57BL/6N female 1951 ## 41 WTSI C57BL/6N male 2008 ## 42 WTSI C57BL/6N;C57BL/6NTac female 41 ## 43 WTSI C57BL/6N;C57BL/6NTac male 7 ## 44 WTSI C57BL/6NCrl male 13 ## 45 WTSI C57BL/6NTac female 49 ## 46 WTSI C57BL/6NTac male 34</code></pre> <div style="border: 1px solid #ddd; padding: 0px; overflow-y: scroll; height:200px; overflow-x: scroll; width:70%; "> <table class="table" style="margin-left: auto; margin-right: auto;"> <thead> <tr> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> production_center </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> strain_name </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> sex </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> n </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> BCM </td> <td style="text-align:left;"> C57BL/6N </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 653 </td> </tr> <tr> <td style="text-align:left;"> BCM </td> <td style="text-align:left;"> C57BL/6N </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 639 </td> </tr> <tr> <td style="text-align:left;"> BCM </td> <td style="text-align:left;"> C57BL/6N;C57BL/6NTac </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 47 </td> </tr> <tr> <td style="text-align:left;"> BCM </td> <td style="text-align:left;"> C57BL/6N;C57BL/6NTac </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 52 </td> </tr> <tr> <td style="text-align:left;"> BCM </td> <td style="text-align:left;"> C57BL/6NCrl </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 4 </td> </tr> <tr> <td style="text-align:left;"> BCM </td> <td style="text-align:left;"> C57BL/6NCrl </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 2 </td> </tr> <tr> <td style="text-align:left;"> BCM </td> <td style="text-align:left;"> C57BL/6NJ </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 6 </td> </tr> <tr> <td style="text-align:left;"> BCM </td> <td style="text-align:left;"> C57BL/6NJ </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 6 </td> </tr> <tr> <td style="text-align:left;"> BCM </td> <td style="text-align:left;"> C57BL/6NTac </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> BCM </td> <td style="text-align:left;"> C57BL/6NTac </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 5 </td> </tr> <tr> <td style="text-align:left;"> HMGU </td> <td style="text-align:left;"> C57BL/6NCrl </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 313 </td> </tr> <tr> <td style="text-align:left;"> HMGU </td> <td style="text-align:left;"> C57BL/6NCrl </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 311 </td> </tr> <tr> <td style="text-align:left;"> HMGU </td> <td style="text-align:left;"> C57BL/6NTac </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 1045 </td> </tr> <tr> <td style="text-align:left;"> HMGU </td> <td style="text-align:left;"> C57BL/6NTac </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 1062 </td> </tr> <tr> <td style="text-align:left;"> ICS </td> <td style="text-align:left;"> C57BL/6N </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 1025 </td> </tr> <tr> <td style="text-align:left;"> ICS </td> <td style="text-align:left;"> C57BL/6N </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 1050 </td> </tr> <tr> <td style="text-align:left;"> JAX </td> <td style="text-align:left;"> C57BL/6NJ </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 2025 </td> </tr> <tr> <td style="text-align:left;"> JAX </td> <td style="text-align:left;"> C57BL/6NJ </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 2022 </td> </tr> <tr> <td style="text-align:left;"> KMPC </td> <td style="text-align:left;"> C57BL/6N;C57BL/6NTac </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 271 </td> </tr> <tr> <td style="text-align:left;"> KMPC </td> <td style="text-align:left;"> C57BL/6N;C57BL/6NTac </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 266 </td> </tr> <tr> <td style="text-align:left;"> MARC </td> <td style="text-align:left;"> C57BL/6N </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 936 </td> </tr> <tr> <td style="text-align:left;"> MARC </td> <td style="text-align:left;"> C57BL/6N </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 926 </td> </tr> <tr> <td style="text-align:left;"> MRC Harwell </td> <td style="text-align:left;"> C57BL/6NTac </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 2639 </td> </tr> <tr> <td style="text-align:left;"> MRC Harwell </td> <td style="text-align:left;"> C57BL/6NTac </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 2661 </td> </tr> <tr> <td style="text-align:left;"> MRC Harwell </td> <td style="text-align:left;"> C57BL/6NTac </td> <td style="text-align:left;"> no_data </td> <td style="text-align:right;"> 3 </td> </tr> <tr> <td style="text-align:left;"> RBRC </td> <td style="text-align:left;"> C57BL/6NJcl </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 222 </td> </tr> <tr> <td style="text-align:left;"> RBRC </td> <td style="text-align:left;"> C57BL/6NJcl </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 222 </td> </tr> <tr> <td style="text-align:left;"> RBRC </td> <td style="text-align:left;"> C57BL/6NTac </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 526 </td> </tr> <tr> <td style="text-align:left;"> RBRC </td> <td style="text-align:left;"> C57BL/6NTac </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 523 </td> </tr> <tr> <td style="text-align:left;"> TCP </td> <td style="text-align:left;"> C57BL/6NCrl </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 552 </td> </tr> <tr> <td style="text-align:left;"> TCP </td> <td style="text-align:left;"> C57BL/6NCrl </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 524 </td> </tr> <tr> <td style="text-align:left;"> TCP </td> <td style="text-align:left;"> C57BL6/NCrl </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 2 </td> </tr> <tr> <td style="text-align:left;"> TCP </td> <td style="text-align:left;"> C57BL6/NCrl </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 2 </td> </tr> <tr> <td style="text-align:left;"> UC Davis </td> <td style="text-align:left;"> C57BL/6N </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> UC Davis </td> <td style="text-align:left;"> C57BL/6NCrl </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 1155 </td> </tr> <tr> <td style="text-align:left;"> UC Davis </td> <td style="text-align:left;"> C57BL/6NCrl </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 1158 </td> </tr> <tr> <td style="text-align:left;"> WTSI </td> <td style="text-align:left;"> B6Brd;B6Dnk;B6N-Tyr<c-Brd> </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 97 </td> </tr> <tr> <td style="text-align:left;"> WTSI </td> <td style="text-align:left;"> B6Brd;B6Dnk;B6N-Tyr<c-Brd> </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 87 </td> </tr> <tr> <td style="text-align:left;"> WTSI </td> <td style="text-align:left;"> C57BL/6J-Tyr<c-Brd> or C57BL/6NTac/USA </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 3 </td> </tr> <tr> <td style="text-align:left;"> WTSI </td> <td style="text-align:left;"> C57BL/6N </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 1951 </td> </tr> <tr> <td style="text-align:left;"> WTSI </td> <td style="text-align:left;"> C57BL/6N </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 2008 </td> </tr> <tr> <td style="text-align:left;"> WTSI </td> <td style="text-align:left;"> C57BL/6N;C57BL/6NTac </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 41 </td> </tr> <tr> <td style="text-align:left;"> WTSI </td> <td style="text-align:left;"> C57BL/6N;C57BL/6NTac </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 7 </td> </tr> <tr> <td style="text-align:left;"> WTSI </td> <td style="text-align:left;"> C57BL/6NCrl </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 13 </td> </tr> <tr> <td style="text-align:left;"> WTSI </td> <td style="text-align:left;"> C57BL/6NTac </td> <td style="text-align:left;"> female </td> <td style="text-align:right;"> 49 </td> </tr> <tr> <td style="text-align:left;"> WTSI </td> <td style="text-align:left;"> C57BL/6NTac </td> <td style="text-align:left;"> male </td> <td style="text-align:right;"> 34 </td> </tr> </tbody> </table> </div> </div> </div> </div> <div id="meta-analyses" class="section level1"> <h1>Meta-analyses</h1> <div id="population-as-analysis-unit" class="section level2"> <h2>1. Population as analysis unit</h2> <p>(Step C, Figure 3 in main document)</p> <div id="loop-meta-analyses-on-all-traits" class="section level3"> <h3>Loop: Meta-analyses on all traits</h3> <ul> <li>The loop combines the functions mentioned above and fills the data matrix with results from our meta analysis.</li> <li>Error messages indicate traits that either did not reach convergence, or that did not return meaningful results in the meta-analysis, due to absence of variance. Those traits will be removed in later steps, outlined below.</li> </ul> <pre class="r"><code>n <- length(unique(data$id)) # Create dataframe to store results results_alltraits_grouping <- tibble(id = 1:n, lnCVR = 0, lnCVR_lower = 0, lnCVR_upper = 0, lnCVR_se = 0, lnVR = 0, lnVR_lower = 0, lnVR_upper = 0, lnVR_se = 0, lnRR = 0, lnRR_lower = 0, lnRR_upper = 0, lnRR_se = 0, sampleSize = 0, trait = 0) for (t in 1:n) { tryCatch({ results <- data %>% data_subset_parameterid_individual_by_age(t) %>% calculate_population_stats() %>% create_meta_analysis_effect_sizes() # lnCVR, log repsonse-ratio of the coefficient of variance cvr <- metafor::rma.mv(yi = effect_size_CVR, V = sample_variance_CVR, random = list(~1 | strain_name, ~1 | production_center, ~1 | err), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F, data = results) # lnVR, comparison of standard deviations cv <- metafor::rma.mv(yi = effect_size_VR, V = sample_variance_VR, random = list(~1 | strain_name, ~1 | production_center, ~1 | err), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F, data = results) # for means, lnRR means <- metafor::rma.mv(yi = effect_size_RR, V = sample_variance_RR, random = list(~1 | strain_name, ~1 | production_center, ~1 | err), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F, data = results) f <- function(x) unlist(x[c("b", "ci.lb", "ci.ub", "se")]) results_alltraits_grouping[t, 2:14] <- c(f(cvr), f(cv), f(means), means$k) results_alltraits_grouping[t, 15] <- unique(results$trait) }, error = function(e) { cat("ERROR :", t, conditionMessage(e), "\n") }) }</code></pre> <pre><code>## ERROR : 84 Optimizer (optim) did not achieve convergence (convergence = 10). ## ERROR : 158 Optimizer (optim) did not achieve convergence (convergence = 10). ## ERROR : 160 NA/NaN/Inf in 'y' ## ERROR : 161 NA/NaN/Inf in 'y' ## ERROR : 162 NA/NaN/Inf in 'y' ## ERROR : 163 NA/NaN/Inf in 'y' ## ERROR : 165 NA/NaN/Inf in 'y' ## ERROR : 166 NA/NaN/Inf in 'y' ## ERROR : 168 NA/NaN/Inf in 'y' ## ERROR : 231 NA/NaN/Inf in 'y'</code></pre> <p>In the above function, we use ‘tryCatch’ and ‘conditionMessage’ to prevent the loop from aborting when the first error at row 84 is produced. As convergence in the two listed non-converging cases can’t be achieved by sensibly tweaking (other optim etc.), and we only learn about non-convergence in the loop, it is not possible to exclude the traits (N=2) beforehand. Similarly, there are 8 traits with very low variation, which can not be excluded prior to running the loop.</p> <p>The produced “Warnings” indicate cases where variance components are set to zero during likelihood optimization.</p> </div> <div id="merging-datasets-removal-of-non-converged-traits" class="section level3"> <h3>Merging datasets & removal of non-converged traits</h3> <p>Procedure names, grouping variables and trait names (“parameter_names”) are merged back together with the results from the metafor analysis above.</p> <pre class="r"><code>results_alltraits_grouping2 <- results_alltraits_grouping %>% left_join(by="id", data %>% select(id, parameter_group, procedure = procedure_name, procedure_name, parameter_name) %>% # We filter duplicated id's to get only one unique row per id (and there is one id per parameter_name) filter(!duplicated(id)) ) %>% # Below we add 'procedure' (from the previously loaded 'procedures.csv') as a variable left_join(by="procedure", procedures %>% distinct() ) #(n <- length(unique(results_alltraits_grouping2$parameter_name))) # 232</code></pre> </div> <div id="removal-of-traits" class="section level3"> <h3>Removal of traits</h3> <p>14 traits from the originally 232 that had been included are removed because they either did not achieve convergence or are nonsensical for analysis of variance (such as traits that show no variation, see list below).</p> <p>Not converged: “dp t cells”, “mzb (cd21/35 high)”</p> <p>Not enough variation: “number of caudal vertebrae”, “number of cervical vertebrae”, “number of digits”, “number of lumbar vertebrae”, “number of pelvic vertebrae”, “number of ribs left”,“number of ribs right”, “number of signals”, “number of thoracic vertebrae”, “total number of acquired events in panel a”,“total number of acquired events in panel b”, “whole arena permanence”.</p> <pre class="r"><code># We exclude 14 parameter names for which metafor models didn't converge # ('dp t cells', 'mzb (cd21/35 high)'), and of parameters that don't harbour # enough variation meta_clean <- results_alltraits_grouping2 %>% filter(!parameter_name %in% c("dp t cells", "mzb (cd21/35 high)", "number of caudal vertebrae", "number of cervical vertebrae", "number of digits", "number of lumbar vertebrae", "number of pelvic vertebrae", "number of ribs left", "number of ribs right", "number of signals", "number of thoracic vertebrae", "total number of acquired events in panel a", "total number of acquired events in panel b", "whole arena permanence"))</code></pre> </div> </div> <div id="meta-analysis-condensing-non-independent-traits" class="section level2"> <h2>2. Meta-analysis: condensing non-independent traits</h2> <p>(Step F in Figure 3 in main article)</p> <div id="dealing-with-correlated-parameters-preparation" class="section level3"> <h3>Dealing with Correlated Parameters, preparation</h3> <p>This dataset contained a number of highly correlated traits, such as different kinds of cell counts (for example hierarchical parameterization within immunological assays). As those data-points are not independent of each other, we conducted meta analyses on these correlated parameters to collapse the number of levels.</p> <div id="collapsing-and-merging-correlated-parameters" class="section level4"> <h4>Collapsing and merging correlated parameters</h4> <p>Here we double check numbers of trait parameters in the dataset</p> <pre class="r"><code>meta1 <- meta_clean length(unique(meta1$procedure)) #18</code></pre> <pre><code>## [1] 18</code></pre> <pre class="r"><code>length(unique(meta1$GroupingTerm)) #9</code></pre> <pre><code>## [1] 9</code></pre> <pre class="r"><code>length(unique(meta1$parameter_group)) # 148 levels. To be used as grouping factor for meta-meta-analysis / collapsing down based on things that are classified identically in 'parameter_group' but have different 'parameter_name'</code></pre> <pre><code>## [1] 148</code></pre> <pre class="r"><code>length(unique(meta1$parameter_name)) #218</code></pre> <pre><code>## [1] 218</code></pre> </div> <div id="count-of-number-of-parameter-names-correlated-sub-traits-in-each-parameter-group-par_group_size" class="section level4"> <h4>Count of number of parameter names (correlated sub-traits) in each parameter group (par_group_size)</h4> </div> </div> <div id="table-2-numbers-of-correlated-and-uncorrelated-traits" class="section level3"> <h3>Table 2: Numbers of correlated and uncorrelated traits</h3> <p>This serves to identify and separate the traits that are correlated from the full dataset that can be processed as is. If the sample size (n) for a given “parameter group” equals 1, the trait is unique and uncorrelated. All instances, where there are 2 or more traits associated with the same parameter group (90 cases), are selected for a “mini-meta analysis”, which removes the issue of correlation.</p> <pre class="r"><code>kable(cbind(meta1 %>% count(parameter_group))) %>% kable_styling() %>% scroll_box(width = "60%", height = "200px")</code></pre> <div style="border: 1px solid #ddd; padding: 0px; overflow-y: scroll; height:200px; overflow-x: scroll; width:60%; "> <table class="table" style="margin-left: auto; margin-right: auto;"> <thead> <tr> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> parameter_group </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> n </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> 12khz-evoked abr threshold </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> 18khz-evoked abr threshold </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> 24khz-evoked abr threshold </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> 30khz-evoked abr threshold </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> 6khz-evoked abr threshold </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> alanine aminotransferase </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> albumin </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> alkaline phosphatase </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> alpha-amylase </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> area under glucose response curve </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> aspartate aminotransferase </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> B cells </td> <td style="text-align:right;"> 4 </td> </tr> <tr> <td style="text-align:left;"> basophil cell count </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> basophil differential count </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> bmc/body weight </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> body length </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> body temp </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> body weight </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> body weight after experiment </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> body weight before experiment </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> bone area </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> bone mineral content (excluding skull) </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> bone mineral density (excluding skull) </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> calcium </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> cardiac output </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> cd4 nkt </td> <td style="text-align:right;"> 6 </td> </tr> <tr> <td style="text-align:left;"> cd4 t </td> <td style="text-align:right;"> 7 </td> </tr> <tr> <td style="text-align:left;"> cd8 nkt </td> <td style="text-align:right;"> 6 </td> </tr> <tr> <td style="text-align:left;"> cd8 t </td> <td style="text-align:right;"> 7 </td> </tr> <tr> <td style="text-align:left;"> cdcs </td> <td style="text-align:right;"> 2 </td> </tr> <tr> <td style="text-align:left;"> center average speed </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> center distance travelled </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> center permanence time </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> center resting time </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> chloride </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> click-evoked abr threshold </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> creatine kinase </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> creatinine </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> cv </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> distance travelled - total </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> dn nkt </td> <td style="text-align:right;"> 6 </td> </tr> <tr> <td style="text-align:left;"> dn t </td> <td style="text-align:right;"> 7 </td> </tr> <tr> <td style="text-align:left;"> ejection fraction </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> end-diastolic diameter </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> end-systolic diameter </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> eosinophils </td> <td style="text-align:right;"> 3 </td> </tr> <tr> <td style="text-align:left;"> fasted blood glucose concentration </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> fat mass </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> fat/body weight </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> follicular b cells </td> <td style="text-align:right;"> 2 </td> </tr> <tr> <td style="text-align:left;"> forelimb and hindlimb grip strength measurement mean </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> forelimb grip strength measurement mean </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> fractional shortening </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> free fatty acids </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> fructosamine </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> glucose </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> hdl-cholesterol </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> heart weight </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> heart weight normalised against body weight </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> hematocrit </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> hemoglobin </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> hr </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> hrv </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> initial response to glucose challenge </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> insulin </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> iron </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> lactate dehydrogenase </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> latency to center entry </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> ldl-cholesterol </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> lean mass </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> lean/body weight </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> left anterior chamber depth </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> left corneal thickness </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> left inner nuclear layer </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> left outer nuclear layer </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> left posterior chamber depth </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> left total retinal thickness </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> locomotor activity </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> luc </td> <td style="text-align:right;"> 2 </td> </tr> <tr> <td style="text-align:left;"> lvawd </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> lvaws </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> lvidd </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> lvids </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> lvpwd </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> lvpws </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> lymphocytes </td> <td style="text-align:right;"> 2 </td> </tr> <tr> <td style="text-align:left;"> magnesium </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> mean cell hemoglobin concentration </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> mean cell volume </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> mean corpuscular hemoglobin </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> mean platelet volume </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> mean r amplitude </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> mean sr amplitude </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> monocytes </td> <td style="text-align:right;"> 3 </td> </tr> <tr> <td style="text-align:left;"> neutrophils </td> <td style="text-align:right;"> 3 </td> </tr> <tr> <td style="text-align:left;"> nk cells </td> <td style="text-align:right;"> 6 </td> </tr> <tr> <td style="text-align:left;"> nkt cells </td> <td style="text-align:right;"> 4 </td> </tr> <tr> <td style="text-align:left;"> number of center entries </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> number of rears - total </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> others </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> pdcs </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> percentage center time </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> percentage of live gated events </td> <td style="text-align:right;"> 2 </td> </tr> <tr> <td style="text-align:left;"> periphery average speed </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> periphery distance travelled </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> periphery permanence time </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> periphery resting time </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> phosphorus </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> platelet count </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> pnn5(6>ms) </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> potassium </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> pq </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> pr </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> pre-pulse inhibition </td> <td style="text-align:right;"> 5 </td> </tr> <tr> <td style="text-align:left;"> qrs </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> qtc </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> qtc dispersion </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> red blood cell count </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> red blood cell distribution width </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> respiration rate </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> respiratory exchange ratio </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> response amplitude </td> <td style="text-align:right;"> 10 </td> </tr> <tr> <td style="text-align:left;"> right anterior chamber depth </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> right corneal thickness </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> right inner nuclear layer </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> right outer nuclear layer </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> right posterior chamber depth </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> right total retinal thickness </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> rmssd </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> rp macrophage (cd19- cd11c-) </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> rr </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> sodium </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> spleen weight </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> st </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> stroke volume </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> t cells </td> <td style="text-align:right;"> 3 </td> </tr> <tr> <td style="text-align:left;"> tibia length </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> total bilirubin </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> total cholesterol </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> total food intake </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> total protein </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> total water intake </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> triglycerides </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> urea (blood urea nitrogen - bun) </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> uric acid </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> white blood cell count </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> whole arena average speed </td> <td style="text-align:right;"> 1 </td> </tr> <tr> <td style="text-align:left;"> whole arena resting time </td> <td style="text-align:right;"> 1 </td> </tr> </tbody> </table> </div> <pre class="r"><code>meta1_sub <- meta1 %>% # Add summary of number of parameter names in each parameter group group_by(parameter_group) %>% mutate(par_group_size = length(unique(parameter_name)), sampleSize = as.numeric(sampleSize)) %>% ungroup() %>% # Create subsets with > 1 count (par_group_size > 1) filter(par_group_size > 1) # 90 observations</code></pre> <div id="meta-analyses-on-correlated-sub-traits-using-robumeta" class="section level4"> <h4>Meta-analyses on correlated (sub-)traits, using robumeta`</h4> <p>Here we pepare the subset of the data (using nest()), and in this first step the model of the meta-analysis effect sizes are calculated</p> <pre class="r"><code># Create summary of number of parameter names in each parameter group, and # merge back together meta1b <- meta1 %>% group_by(parameter_group) %>% summarize(par_group_size = length(unique(parameter_name, na.rm = TRUE))) meta1$par_group_size <- meta1b$par_group_size[match(meta1$parameter_group, meta1b$parameter_group)] # Create subsets with > 1 count (par_group_size > 1) meta1_sub <- subset(meta1, par_group_size > 1) # 90 observations meta1_sub$sampleSize <- as.numeric(meta1_sub$sampleSize) # Nesting and meta-analyses on correlated traits, using robumeta n_count <- meta1_sub %>% group_by(parameter_group) %>% mutate(raw_N = sum(sampleSize)) %>% nest() %>% ungroup() model_count <- n_count %>% mutate(model_lnRR = map(data, ~robu(.x$lnRR ~ 1, data = .x, studynum = .x$id, modelweights = c("CORR"), rho = 0.8, small = TRUE, var.eff.size = (.x$lnRR_se)^2)), model_lnVR = map(data, ~robu(.x$lnVR ~ 1, data = .x, studynum = .x$id, modelweights = c("CORR"), rho = 0.8, small = TRUE, var.eff.size = (.x$lnVR_se)^2)), model_lnCVR = map(data, ~robu(.x$lnCVR ~ 1, data = .x, studynum = .x$id, modelweights = c("CORR"), rho = 0.8, small = TRUE, var.eff.size = (.x$lnCVR_se)^2)))</code></pre> </div> <div id="extracting-and-save-parameter-estimates" class="section level4"> <h4>Extracting and save parameter estimates</h4> <p>Here we apply an additional Function to collect the outcomes of the ‘mini-meta-analysis’ that has ondensed our non-independent traits.</p> <pre class="r"><code>count_fun <- function(mod_sub) { return(c(mod_sub$reg_table$b.r, mod_sub$reg_table$CI.L, mod_sub$reg_table$CI.U, mod_sub$reg_table$SE)) } # estimate, lower ci, upper ci, SE</code></pre> <p>Extraction of values created during meta-analyses using robumeta</p> <pre class="r"><code>robusub_RR <- model_count %>% transmute(parameter_group, estimatelnRR = map(model_lnRR, count_fun)) %>% mutate(r = map(estimatelnRR, ~data.frame(t(.)))) %>% unnest(r) %>% select(-estimatelnRR) %>% purrr::set_names(c("parameter_group", "lnRR", "lnRR_lower", "lnRR_upper", "lnRR_se")) robusub_CVR <- model_count %>% transmute(parameter_group, estimatelnCVR = map(model_lnCVR, count_fun)) %>% mutate(r = map(estimatelnCVR, ~data.frame(t(.)))) %>% unnest(r) %>% select(-estimatelnCVR) %>% purrr::set_names(c("parameter_group", "lnCVR", "lnCVR_lower", "lnCVR_upper", "lnCVR_se")) robusub_VR <- model_count %>% transmute(parameter_group, estimatelnVR = map(model_lnVR, count_fun)) %>% mutate(r = map(estimatelnVR, ~data.frame(t(.)))) %>% unnest(r) %>% select(-estimatelnVR) %>% purrr::set_names(c("parameter_group", "lnVR", "lnVR_lower", "lnVR_upper", "lnVR_se")) robu_all <- full_join(robusub_CVR, robusub_VR) %>% full_join(., robusub_RR)</code></pre> </div> <div id="combining-data" class="section level4"> <h4>Combining data</h4> <p>Merge the two data sets (the new [robu_all] and the initial [uncorrelated sub-traits with count = 1])</p> <pre class="r"><code>meta_all <- meta1 %>% filter(par_group_size == 1) %>% as_tibble() # glimpse(meta_all) glimpse(robu_all) # Step 1: Columns are matched by name (in our case, 'parameter_group'), and # any missing columns will be filled with NA combinedmeta <- bind_rows(robu_all, meta_all) # glimpse(combinedmeta) # Steps 2&3: Add information about number of traits in a parameter group, # procedure, and grouping term metacombo <- combinedmeta metacombo$counts <- meta1$par_group_size[match(metacombo$parameter_group, meta1$parameter_group)] metacombo$procedure2 <- meta1$procedure[match(metacombo$parameter_group, meta1$parameter_group)] metacombo$GroupingTerm2 <- meta1$GroupingTerm[match(metacombo$parameter_group, meta1$parameter_group)]</code></pre> <p>Clean-up, reorder, and rename</p> <pre class="r"><code>metacombo <- metacombo[c("parameter_group", "counts", "procedure2", "GroupingTerm2", "lnCVR", "lnCVR_lower", "lnCVR_upper", "lnCVR_se", "lnVR", "lnVR_lower", "lnVR_upper", "lnVR_se", "lnRR", "lnRR_lower", "lnRR_upper", "lnRR_se")] names(metacombo)[names(metacombo) == "procedure2"] <- "procedure" names(metacombo)[names(metacombo) == "GroupingTerm2"] <- "GroupingTerm" # Quick pre-check before doing plots metacombo %>% group_by(GroupingTerm) %>% dplyr::summarize(MeanCVR = mean(lnCVR), MeanVR = mean(lnVR), MeanRR = mean(lnRR))</code></pre> <pre><code>## # A tibble: 9 x 4 ## GroupingTerm MeanCVR MeanVR MeanRR ## <chr> <dbl> <dbl> <dbl> ## 1 Behaviour 0.000871 -0.00727 -0.00869 ## 2 Eye -0.152 -0.146 0.00656 ## 3 Hearing 0.0143 -0.00893 -0.0145 ## 4 Heart 0.0225 -0.0126 -0.0312 ## 5 Hematology 0.0295 0.106 0.0665 ## 6 Immunology -0.0723 -0.107 -0.0528 ## 7 Metabolism -0.0503 0.0931 0.161 ## 8 Morphology 0.0730 0.143 0.0684 ## 9 Physiology 0.0236 0.0480 0.0227</code></pre> </div> </div> <div id="table-3-full-corrected-dataset" class="section level3"> <h3>Table 3: Full corrected dataset</h3> <p>We use this corrected (for correlated traits) “results” table, which contains each of the meta-analytic means for all effect sizes of interest, for further analyses. We further use this table as part of the Shiny App, which is able to provide the percentage differences between males and females for mean, variance and coefficient of variance.</p> <p>This is the full result dataset</p> <pre class="r"><code>kable(metacombo) %>% kable_styling() %>% scroll_box(width = "100%", height = "200px")</code></pre> <div style="border: 1px solid #ddd; padding: 0px; overflow-y: scroll; height:200px; overflow-x: scroll; width:100%; "> <table class="table" style="margin-left: auto; margin-right: auto;"> <thead> <tr> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> parameter_group </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> counts </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> procedure </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> GroupingTerm </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> lnCVR </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> lnCVR_lower </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> lnCVR_upper </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> lnCVR_se </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> lnVR </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> lnVR_lower </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> lnVR_upper </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> lnVR_se </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> lnRR </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> lnRR_lower </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> lnRR_upper </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> lnRR_se </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> pre-pulse inhibition </td> <td style="text-align:right;"> 5 </td> <td style="text-align:left;"> Acoustic Startle and Pre-pulse Inhibition (PPI) </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> 0.0232963 </td> <td style="text-align:right;"> -0.0802563 </td> <td style="text-align:right;"> 0.1268488 </td> <td style="text-align:right;"> 0.0370507 </td> <td style="text-align:right;"> 0.0091028 </td> <td style="text-align:right;"> -0.0364640 </td> <td style="text-align:right;"> 0.0546695 </td> <td style="text-align:right;"> 0.0143431 </td> <td style="text-align:right;"> -0.0052156 </td> <td style="text-align:right;"> -0.0427126 </td> <td style="text-align:right;"> 0.0322815 </td> <td style="text-align:right;"> 0.0128092 </td> </tr> <tr> <td style="text-align:left;"> B cells </td> <td style="text-align:right;"> 4 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.0938959 </td> <td style="text-align:right;"> -0.2500020 </td> <td style="text-align:right;"> 0.0622103 </td> <td style="text-align:right;"> 0.0426972 </td> <td style="text-align:right;"> -0.0995337 </td> <td style="text-align:right;"> -0.2068001 </td> <td style="text-align:right;"> 0.0077328 </td> <td style="text-align:right;"> 0.0250132 </td> <td style="text-align:right;"> -0.0026281 </td> <td style="text-align:right;"> -0.1298230 </td> <td style="text-align:right;"> 0.1245668 </td> <td style="text-align:right;"> 0.0393018 </td> </tr> <tr> <td style="text-align:left;"> cd4 nkt </td> <td style="text-align:right;"> 6 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.0287688 </td> <td style="text-align:right;"> -0.0566987 </td> <td style="text-align:right;"> -0.0008389 </td> <td style="text-align:right;"> 0.0101634 </td> <td style="text-align:right;"> -0.2018746 </td> <td style="text-align:right;"> -0.3102294 </td> <td style="text-align:right;"> -0.0935198 </td> <td style="text-align:right;"> 0.0331161 </td> <td style="text-align:right;"> -0.2344450 </td> <td style="text-align:right;"> -0.4005266 </td> <td style="text-align:right;"> -0.0683635 </td> <td style="text-align:right;"> 0.0633501 </td> </tr> <tr> <td style="text-align:left;"> cd4 t </td> <td style="text-align:right;"> 7 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.1507387 </td> <td style="text-align:right;"> -0.2427976 </td> <td style="text-align:right;"> -0.0586798 </td> <td style="text-align:right;"> 0.0360690 </td> <td style="text-align:right;"> -0.1699213 </td> <td style="text-align:right;"> -0.2629450 </td> <td style="text-align:right;"> -0.0768975 </td> <td style="text-align:right;"> 0.0348324 </td> <td style="text-align:right;"> -0.0031242 </td> <td style="text-align:right;"> -0.0411564 </td> <td style="text-align:right;"> 0.0349081 </td> <td style="text-align:right;"> 0.0148989 </td> </tr> <tr> <td style="text-align:left;"> cd8 nkt </td> <td style="text-align:right;"> 6 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.0424402 </td> <td style="text-align:right;"> -0.0782046 </td> <td style="text-align:right;"> -0.0066759 </td> <td style="text-align:right;"> 0.0119223 </td> <td style="text-align:right;"> -0.0300442 </td> <td style="text-align:right;"> -0.1823594 </td> <td style="text-align:right;"> 0.1222710 </td> <td style="text-align:right;"> 0.0533765 </td> <td style="text-align:right;"> 0.0035372 </td> <td style="text-align:right;"> -0.0573749 </td> <td style="text-align:right;"> 0.0644494 </td> <td style="text-align:right;"> 0.0205272 </td> </tr> <tr> <td style="text-align:left;"> cd8 t </td> <td style="text-align:right;"> 7 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.1223681 </td> <td style="text-align:right;"> -0.2179976 </td> <td style="text-align:right;"> -0.0267387 </td> <td style="text-align:right;"> 0.0358727 </td> <td style="text-align:right;"> -0.1581698 </td> <td style="text-align:right;"> -0.2342579 </td> <td style="text-align:right;"> -0.0820816 </td> <td style="text-align:right;"> 0.0270229 </td> <td style="text-align:right;"> -0.0415806 </td> <td style="text-align:right;"> -0.0510391 </td> <td style="text-align:right;"> -0.0321221 </td> <td style="text-align:right;"> 0.0023119 </td> </tr> <tr> <td style="text-align:left;"> cdcs </td> <td style="text-align:right;"> 2 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.0362947 </td> <td style="text-align:right;"> -0.3588637 </td> <td style="text-align:right;"> 0.2862742 </td> <td style="text-align:right;"> 0.0253867 </td> <td style="text-align:right;"> 0.1080248 </td> <td style="text-align:right;"> -0.0565718 </td> <td style="text-align:right;"> 0.2726213 </td> <td style="text-align:right;"> 0.0129540 </td> <td style="text-align:right;"> 0.1642541 </td> <td style="text-align:right;"> -0.1701520 </td> <td style="text-align:right;"> 0.4986601 </td> <td style="text-align:right;"> 0.0263183 </td> </tr> <tr> <td style="text-align:left;"> dn nkt </td> <td style="text-align:right;"> 6 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.0619371 </td> <td style="text-align:right;"> -0.1359380 </td> <td style="text-align:right;"> 0.0120637 </td> <td style="text-align:right;"> 0.0257746 </td> <td style="text-align:right;"> -0.1572129 </td> <td style="text-align:right;"> -0.2814342 </td> <td style="text-align:right;"> -0.0329915 </td> <td style="text-align:right;"> 0.0447163 </td> <td style="text-align:right;"> -0.1727105 </td> <td style="text-align:right;"> -0.2906356 </td> <td style="text-align:right;"> -0.0547854 </td> <td style="text-align:right;"> 0.0441034 </td> </tr> <tr> <td style="text-align:left;"> dn t </td> <td style="text-align:right;"> 7 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.0796127 </td> <td style="text-align:right;"> -0.1844481 </td> <td style="text-align:right;"> 0.0252227 </td> <td style="text-align:right;"> 0.0420063 </td> <td style="text-align:right;"> -0.2421038 </td> <td style="text-align:right;"> -0.3431678 </td> <td style="text-align:right;"> -0.1410397 </td> <td style="text-align:right;"> 0.0406314 </td> <td style="text-align:right;"> -0.2298147 </td> <td style="text-align:right;"> -0.2519708 </td> <td style="text-align:right;"> -0.2076586 </td> <td style="text-align:right;"> 0.0072373 </td> </tr> <tr> <td style="text-align:left;"> eosinophils </td> <td style="text-align:right;"> 3 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> -0.0662225 </td> <td style="text-align:right;"> -0.2806631 </td> <td style="text-align:right;"> 0.1482181 </td> <td style="text-align:right;"> 0.0325859 </td> <td style="text-align:right;"> -0.0154112 </td> <td style="text-align:right;"> -0.4051652 </td> <td style="text-align:right;"> 0.3743427 </td> <td style="text-align:right;"> 0.0865366 </td> <td style="text-align:right;"> -0.0042422 </td> <td style="text-align:right;"> -0.2409206 </td> <td style="text-align:right;"> 0.2324362 </td> <td style="text-align:right;"> 0.0508093 </td> </tr> <tr> <td style="text-align:left;"> follicular b cells </td> <td style="text-align:right;"> 2 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.1160077 </td> <td style="text-align:right;"> -0.7256692 </td> <td style="text-align:right;"> 0.4936538 </td> <td style="text-align:right;"> 0.0479814 </td> <td style="text-align:right;"> -0.1050194 </td> <td style="text-align:right;"> -0.6946364 </td> <td style="text-align:right;"> 0.4845977 </td> <td style="text-align:right;"> 0.0464039 </td> <td style="text-align:right;"> 0.0052427 </td> <td style="text-align:right;"> -0.1872381 </td> <td style="text-align:right;"> 0.1977236 </td> <td style="text-align:right;"> 0.0151486 </td> </tr> <tr> <td style="text-align:left;"> luc </td> <td style="text-align:right;"> 2 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> 0.0180436 </td> <td style="text-align:right;"> -0.2038464 </td> <td style="text-align:right;"> 0.2399336 </td> <td style="text-align:right;"> 0.0174631 </td> <td style="text-align:right;"> 0.2657035 </td> <td style="text-align:right;"> -1.2251358 </td> <td style="text-align:right;"> 1.7565428 </td> <td style="text-align:right;"> 0.1173316 </td> <td style="text-align:right;"> 0.2215497 </td> <td style="text-align:right;"> -1.4136389 </td> <td style="text-align:right;"> 1.8567382 </td> <td style="text-align:right;"> 0.1286921 </td> </tr> <tr> <td style="text-align:left;"> lymphocytes </td> <td style="text-align:right;"> 2 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> 0.0805230 </td> <td style="text-align:right;"> -2.2618128 </td> <td style="text-align:right;"> 2.4228588 </td> <td style="text-align:right;"> 0.1843458 </td> <td style="text-align:right;"> 0.1550159 </td> <td style="text-align:right;"> -1.0892706 </td> <td style="text-align:right;"> 1.3993024 </td> <td style="text-align:right;"> 0.0979275 </td> <td style="text-align:right;"> 0.0602144 </td> <td style="text-align:right;"> -1.0131287 </td> <td style="text-align:right;"> 1.1335576 </td> <td style="text-align:right;"> 0.0844739 </td> </tr> <tr> <td style="text-align:left;"> monocytes </td> <td style="text-align:right;"> 3 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> -0.0214677 </td> <td style="text-align:right;"> -0.2033706 </td> <td style="text-align:right;"> 0.1604352 </td> <td style="text-align:right;"> 0.0420605 </td> <td style="text-align:right;"> 0.0784876 </td> <td style="text-align:right;"> -0.1811005 </td> <td style="text-align:right;"> 0.3380757 </td> <td style="text-align:right;"> 0.0585593 </td> <td style="text-align:right;"> 0.1025193 </td> <td style="text-align:right;"> -0.1483375 </td> <td style="text-align:right;"> 0.3533762 </td> <td style="text-align:right;"> 0.0571438 </td> </tr> <tr> <td style="text-align:left;"> neutrophils </td> <td style="text-align:right;"> 3 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> 0.2587446 </td> <td style="text-align:right;"> 0.0130803 </td> <td style="text-align:right;"> 0.5044089 </td> <td style="text-align:right;"> 0.0557516 </td> <td style="text-align:right;"> 0.3799805 </td> <td style="text-align:right;"> -0.2060446 </td> <td style="text-align:right;"> 0.9660057 </td> <td style="text-align:right;"> 0.1317980 </td> <td style="text-align:right;"> 0.1319372 </td> <td style="text-align:right;"> -0.2669324 </td> <td style="text-align:right;"> 0.5308068 </td> <td style="text-align:right;"> 0.0924336 </td> </tr> <tr> <td style="text-align:left;"> nk cells </td> <td style="text-align:right;"> 6 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.0414772 </td> <td style="text-align:right;"> -0.0960406 </td> <td style="text-align:right;"> 0.0130862 </td> <td style="text-align:right;"> 0.0200411 </td> <td style="text-align:right;"> 0.0156533 </td> <td style="text-align:right;"> -0.0703789 </td> <td style="text-align:right;"> 0.1016856 </td> <td style="text-align:right;"> 0.0315487 </td> <td style="text-align:right;"> 0.0471757 </td> <td style="text-align:right;"> -0.0162213 </td> <td style="text-align:right;"> 0.1105728 </td> <td style="text-align:right;"> 0.0231831 </td> </tr> <tr> <td style="text-align:left;"> nkt cells </td> <td style="text-align:right;"> 4 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> 0.0033757 </td> <td style="text-align:right;"> -0.1069890 </td> <td style="text-align:right;"> 0.1137404 </td> <td style="text-align:right;"> 0.0294661 </td> <td style="text-align:right;"> -0.2458705 </td> <td style="text-align:right;"> -0.4452333 </td> <td style="text-align:right;"> -0.0465077 </td> <td style="text-align:right;"> 0.0426738 </td> <td style="text-align:right;"> -0.1823355 </td> <td style="text-align:right;"> -0.3233946 </td> <td style="text-align:right;"> -0.0412763 </td> <td style="text-align:right;"> 0.0314580 </td> </tr> <tr> <td style="text-align:left;"> percentage of live gated events </td> <td style="text-align:right;"> 2 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.0934933 </td> <td style="text-align:right;"> -0.3037340 </td> <td style="text-align:right;"> 0.1167473 </td> <td style="text-align:right;"> 0.0165463 </td> <td style="text-align:right;"> -0.0412606 </td> <td style="text-align:right;"> -0.1414443 </td> <td style="text-align:right;"> 0.0589231 </td> <td style="text-align:right;"> 0.0078846 </td> <td style="text-align:right;"> 0.0500941 </td> <td style="text-align:right;"> 0.0081191 </td> <td style="text-align:right;"> 0.0920690 </td> <td style="text-align:right;"> 0.0033035 </td> </tr> <tr> <td style="text-align:left;"> response amplitude </td> <td style="text-align:right;"> 10 </td> <td style="text-align:left;"> Acoustic Startle and Pre-pulse Inhibition (PPI) </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> 0.0333147 </td> <td style="text-align:right;"> -0.0127585 </td> <td style="text-align:right;"> 0.0793879 </td> <td style="text-align:right;"> 0.0202947 </td> <td style="text-align:right;"> 0.2549274 </td> <td style="text-align:right;"> 0.1969787 </td> <td style="text-align:right;"> 0.3128761 </td> <td style="text-align:right;"> 0.0255003 </td> <td style="text-align:right;"> 0.2016062 </td> <td style="text-align:right;"> 0.1108136 </td> <td style="text-align:right;"> 0.2923987 </td> <td style="text-align:right;"> 0.0401164 </td> </tr> <tr> <td style="text-align:left;"> t cells </td> <td style="text-align:right;"> 3 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.1338701 </td> <td style="text-align:right;"> -0.2750284 </td> <td style="text-align:right;"> 0.0072883 </td> <td style="text-align:right;"> 0.0326594 </td> <td style="text-align:right;"> -0.1240786 </td> <td style="text-align:right;"> -0.4120104 </td> <td style="text-align:right;"> 0.1638531 </td> <td style="text-align:right;"> 0.0668611 </td> <td style="text-align:right;"> -0.0005749 </td> <td style="text-align:right;"> -0.1663201 </td> <td style="text-align:right;"> 0.1651702 </td> <td style="text-align:right;"> 0.0374233 </td> </tr> <tr> <td style="text-align:left;"> 12khz-evoked abr threshold </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Auditory Brain Stem Response </td> <td style="text-align:left;"> Hearing </td> <td style="text-align:right;"> 0.0538655 </td> <td style="text-align:right;"> -0.0056830 </td> <td style="text-align:right;"> 0.1134139 </td> <td style="text-align:right;"> 0.0303824 </td> <td style="text-align:right;"> 0.0869649 </td> <td style="text-align:right;"> 0.0065802 </td> <td style="text-align:right;"> 0.1673497 </td> <td style="text-align:right;"> 0.0410134 </td> <td style="text-align:right;"> 0.0024851 </td> <td style="text-align:right;"> -0.0214504 </td> <td style="text-align:right;"> 0.0264205 </td> <td style="text-align:right;"> 0.0122122 </td> </tr> <tr> <td style="text-align:left;"> 18khz-evoked abr threshold </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Auditory Brain Stem Response </td> <td style="text-align:left;"> Hearing </td> <td style="text-align:right;"> 0.0238241 </td> <td style="text-align:right;"> -0.0331809 </td> <td style="text-align:right;"> 0.0808292 </td> <td style="text-align:right;"> 0.0290848 </td> <td style="text-align:right;"> 0.0250266 </td> <td style="text-align:right;"> -0.0488450 </td> <td style="text-align:right;"> 0.0988982 </td> <td style="text-align:right;"> 0.0376903 </td> <td style="text-align:right;"> -0.0200763 </td> <td style="text-align:right;"> -0.0431508 </td> <td style="text-align:right;"> 0.0029982 </td> <td style="text-align:right;"> 0.0117729 </td> </tr> <tr> <td style="text-align:left;"> 24khz-evoked abr threshold </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Auditory Brain Stem Response </td> <td style="text-align:left;"> Hearing </td> <td style="text-align:right;"> 0.0518127 </td> <td style="text-align:right;"> -0.0148242 </td> <td style="text-align:right;"> 0.1184497 </td> <td style="text-align:right;"> 0.0339991 </td> <td style="text-align:right;"> -0.0891510 </td> <td style="text-align:right;"> -0.3321998 </td> <td style="text-align:right;"> 0.1538977 </td> <td style="text-align:right;"> 0.1240067 </td> <td style="text-align:right;"> -0.0224536 </td> <td style="text-align:right;"> -0.0444163 </td> <td style="text-align:right;"> -0.0004910 </td> <td style="text-align:right;"> 0.0112057 </td> </tr> <tr> <td style="text-align:left;"> 30khz-evoked abr threshold </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Auditory Brain Stem Response </td> <td style="text-align:left;"> Hearing </td> <td style="text-align:right;"> 0.0170933 </td> <td style="text-align:right;"> -0.0533187 </td> <td style="text-align:right;"> 0.0875053 </td> <td style="text-align:right;"> 0.0359252 </td> <td style="text-align:right;"> -0.0344797 </td> <td style="text-align:right;"> -0.1017901 </td> <td style="text-align:right;"> 0.0328306 </td> <td style="text-align:right;"> 0.0343426 </td> <td style="text-align:right;"> -0.0497874 </td> <td style="text-align:right;"> -0.0748197 </td> <td style="text-align:right;"> -0.0247550 </td> <td style="text-align:right;"> 0.0127718 </td> </tr> <tr> <td style="text-align:left;"> 6khz-evoked abr threshold </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Auditory Brain Stem Response </td> <td style="text-align:left;"> Hearing </td> <td style="text-align:right;"> -0.0077678 </td> <td style="text-align:right;"> -0.0418582 </td> <td style="text-align:right;"> 0.0263226 </td> <td style="text-align:right;"> 0.0173934 </td> <td style="text-align:right;"> 0.0141682 </td> <td style="text-align:right;"> -0.0189973 </td> <td style="text-align:right;"> 0.0473337 </td> <td style="text-align:right;"> 0.0169215 </td> <td style="text-align:right;"> 0.0184043 </td> <td style="text-align:right;"> 0.0056897 </td> <td style="text-align:right;"> 0.0311189 </td> <td style="text-align:right;"> 0.0064872 </td> </tr> <tr> <td style="text-align:left;"> alanine aminotransferase </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> -0.0684217 </td> <td style="text-align:right;"> -0.1895020 </td> <td style="text-align:right;"> 0.0526586 </td> <td style="text-align:right;"> 0.0617768 </td> <td style="text-align:right;"> 0.0585179 </td> <td style="text-align:right;"> -0.1322507 </td> <td style="text-align:right;"> 0.2492866 </td> <td style="text-align:right;"> 0.0973327 </td> <td style="text-align:right;"> 0.1069442 </td> <td style="text-align:right;"> 0.0319934 </td> <td style="text-align:right;"> 0.1818950 </td> <td style="text-align:right;"> 0.0382409 </td> </tr> <tr> <td style="text-align:left;"> albumin </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.1133080 </td> <td style="text-align:right;"> 0.0451475 </td> <td style="text-align:right;"> 0.1814685 </td> <td style="text-align:right;"> 0.0347764 </td> <td style="text-align:right;"> 0.0559995 </td> <td style="text-align:right;"> -0.0080678 </td> <td style="text-align:right;"> 0.1200668 </td> <td style="text-align:right;"> 0.0326880 </td> <td style="text-align:right;"> -0.0567840 </td> <td style="text-align:right;"> -0.0732083 </td> <td style="text-align:right;"> -0.0403597 </td> <td style="text-align:right;"> 0.0083799 </td> </tr> <tr> <td style="text-align:left;"> alkaline phosphatase </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.1043649 </td> <td style="text-align:right;"> 0.0451585 </td> <td style="text-align:right;"> 0.1635713 </td> <td style="text-align:right;"> 0.0302079 </td> <td style="text-align:right;"> -0.3112471 </td> <td style="text-align:right;"> -0.3980164 </td> <td style="text-align:right;"> -0.2244778 </td> <td style="text-align:right;"> 0.0442709 </td> <td style="text-align:right;"> -0.4216032 </td> <td style="text-align:right;"> -0.4694832 </td> <td style="text-align:right;"> -0.3737231 </td> <td style="text-align:right;"> 0.0244290 </td> </tr> <tr> <td style="text-align:left;"> alpha-amylase </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.0383407 </td> <td style="text-align:right;"> -0.0423419 </td> <td style="text-align:right;"> 0.1190232 </td> <td style="text-align:right;"> 0.0411653 </td> <td style="text-align:right;"> 0.2795566 </td> <td style="text-align:right;"> 0.1615777 </td> <td style="text-align:right;"> 0.3975355 </td> <td style="text-align:right;"> 0.0601944 </td> <td style="text-align:right;"> 0.2246987 </td> <td style="text-align:right;"> 0.1793151 </td> <td style="text-align:right;"> 0.2700822 </td> <td style="text-align:right;"> 0.0231553 </td> </tr> <tr> <td style="text-align:left;"> area under glucose response curve </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Intraperitoneal glucose tolerance test (IPGTT) </td> <td style="text-align:left;"> Metabolism </td> <td style="text-align:right;"> -0.1531723 </td> <td style="text-align:right;"> -0.2210551 </td> <td style="text-align:right;"> -0.0852895 </td> <td style="text-align:right;"> 0.0346347 </td> <td style="text-align:right;"> 0.2748396 </td> <td style="text-align:right;"> 0.1950895 </td> <td style="text-align:right;"> 0.3545898 </td> <td style="text-align:right;"> 0.0406896 </td> <td style="text-align:right;"> 0.4357738 </td> <td style="text-align:right;"> 0.3655882 </td> <td style="text-align:right;"> 0.5059595 </td> <td style="text-align:right;"> 0.0358097 </td> </tr> <tr> <td style="text-align:left;"> aspartate aminotransferase </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.0119165 </td> <td style="text-align:right;"> -0.1228287 </td> <td style="text-align:right;"> 0.1466617 </td> <td style="text-align:right;"> 0.0687488 </td> <td style="text-align:right;"> -0.0566968 </td> <td style="text-align:right;"> -0.2457779 </td> <td style="text-align:right;"> 0.1323843 </td> <td style="text-align:right;"> 0.0964717 </td> <td style="text-align:right;"> -0.0585577 </td> <td style="text-align:right;"> -0.1331777 </td> <td style="text-align:right;"> 0.0160624 </td> <td style="text-align:right;"> 0.0380722 </td> </tr> <tr> <td style="text-align:left;"> basophil cell count </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> -0.0917931 </td> <td style="text-align:right;"> -0.2022487 </td> <td style="text-align:right;"> 0.0186624 </td> <td style="text-align:right;"> 0.0563559 </td> <td style="text-align:right;"> 0.2031265 </td> <td style="text-align:right;"> -0.0131549 </td> <td style="text-align:right;"> 0.4194079 </td> <td style="text-align:right;"> 0.1103497 </td> <td style="text-align:right;"> 0.2675772 </td> <td style="text-align:right;"> 0.0643028 </td> <td style="text-align:right;"> 0.4708516 </td> <td style="text-align:right;"> 0.1037133 </td> </tr> <tr> <td style="text-align:left;"> basophil differential count </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> -0.0934739 </td> <td style="text-align:right;"> -0.1787512 </td> <td style="text-align:right;"> -0.0081966 </td> <td style="text-align:right;"> 0.0435096 </td> <td style="text-align:right;"> -0.0639511 </td> <td style="text-align:right;"> -0.2828066 </td> <td style="text-align:right;"> 0.1549044 </td> <td style="text-align:right;"> 0.1116630 </td> <td style="text-align:right;"> -0.0156339 </td> <td style="text-align:right;"> -0.1102310 </td> <td style="text-align:right;"> 0.0789633 </td> <td style="text-align:right;"> 0.0482647 </td> </tr> <tr> <td style="text-align:left;"> bmc/body weight </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Body Composition (DEXA lean/fat) </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> 0.1314998 </td> <td style="text-align:right;"> 0.0329846 </td> <td style="text-align:right;"> 0.2300151 </td> <td style="text-align:right;"> 0.0502638 </td> <td style="text-align:right;"> -0.0448684 </td> <td style="text-align:right;"> -0.1340146 </td> <td style="text-align:right;"> 0.0442777 </td> <td style="text-align:right;"> 0.0454836 </td> <td style="text-align:right;"> -0.1722378 </td> <td style="text-align:right;"> -0.2207030 </td> <td style="text-align:right;"> -0.1237726 </td> <td style="text-align:right;"> 0.0247276 </td> </tr> <tr> <td style="text-align:left;"> body length </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Body Composition (DEXA lean/fat) </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> -0.0347988 </td> <td style="text-align:right;"> -0.0824528 </td> <td style="text-align:right;"> 0.0128552 </td> <td style="text-align:right;"> 0.0243137 </td> <td style="text-align:right;"> -0.0059677 </td> <td style="text-align:right;"> -0.0526221 </td> <td style="text-align:right;"> 0.0406866 </td> <td style="text-align:right;"> 0.0238037 </td> <td style="text-align:right;"> 0.0282722 </td> <td style="text-align:right;"> 0.0233254 </td> <td style="text-align:right;"> 0.0332189 </td> <td style="text-align:right;"> 0.0025239 </td> </tr> <tr> <td style="text-align:left;"> body temp </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Echo </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> -0.0325368 </td> <td style="text-align:right;"> -0.1066429 </td> <td style="text-align:right;"> 0.0415693 </td> <td style="text-align:right;"> 0.0378099 </td> <td style="text-align:right;"> -0.0303742 </td> <td style="text-align:right;"> -0.1044537 </td> <td style="text-align:right;"> 0.0437054 </td> <td style="text-align:right;"> 0.0377964 </td> <td style="text-align:right;"> 0.0018532 </td> <td style="text-align:right;"> -0.0005002 </td> <td style="text-align:right;"> 0.0042066 </td> <td style="text-align:right;"> 0.0012008 </td> </tr> <tr> <td style="text-align:left;"> body weight </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Body Weight </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> 0.0245675 </td> <td style="text-align:right;"> -0.0420402 </td> <td style="text-align:right;"> 0.0911752 </td> <td style="text-align:right;"> 0.0339841 </td> <td style="text-align:right;"> 0.2335793 </td> <td style="text-align:right;"> 0.1694979 </td> <td style="text-align:right;"> 0.2976607 </td> <td style="text-align:right;"> 0.0326952 </td> <td style="text-align:right;"> 0.2096770 </td> <td style="text-align:right;"> 0.1938727 </td> <td style="text-align:right;"> 0.2254813 </td> <td style="text-align:right;"> 0.0080636 </td> </tr> <tr> <td style="text-align:left;"> body weight after experiment </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Indirect Calorimetry </td> <td style="text-align:left;"> Metabolism </td> <td style="text-align:right;"> 0.0853708 </td> <td style="text-align:right;"> 0.0299665 </td> <td style="text-align:right;"> 0.1407751 </td> <td style="text-align:right;"> 0.0282680 </td> <td style="text-align:right;"> 0.2849370 </td> <td style="text-align:right;"> 0.2328875 </td> <td style="text-align:right;"> 0.3369866 </td> <td style="text-align:right;"> 0.0265564 </td> <td style="text-align:right;"> 0.2030973 </td> <td style="text-align:right;"> 0.1864076 </td> <td style="text-align:right;"> 0.2197871 </td> <td style="text-align:right;"> 0.0085153 </td> </tr> <tr> <td style="text-align:left;"> body weight before experiment </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Indirect Calorimetry </td> <td style="text-align:left;"> Metabolism </td> <td style="text-align:right;"> 0.1053511 </td> <td style="text-align:right;"> 0.0412461 </td> <td style="text-align:right;"> 0.1694562 </td> <td style="text-align:right;"> 0.0327073 </td> <td style="text-align:right;"> 0.3038998 </td> <td style="text-align:right;"> 0.2435428 </td> <td style="text-align:right;"> 0.3642568 </td> <td style="text-align:right;"> 0.0307949 </td> <td style="text-align:right;"> 0.2008638 </td> <td style="text-align:right;"> 0.1816362 </td> <td style="text-align:right;"> 0.2200914 </td> <td style="text-align:right;"> 0.0098102 </td> </tr> <tr> <td style="text-align:left;"> bone area </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Body Composition (DEXA lean/fat) </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> 0.0981587 </td> <td style="text-align:right;"> 0.0272824 </td> <td style="text-align:right;"> 0.1690349 </td> <td style="text-align:right;"> 0.0361620 </td> <td style="text-align:right;"> 0.1286546 </td> <td style="text-align:right;"> 0.0533659 </td> <td style="text-align:right;"> 0.2039432 </td> <td style="text-align:right;"> 0.0384133 </td> <td style="text-align:right;"> 0.0315241 </td> <td style="text-align:right;"> 0.0003806 </td> <td style="text-align:right;"> 0.0626676 </td> <td style="text-align:right;"> 0.0158898 </td> </tr> <tr> <td style="text-align:left;"> bone mineral content (excluding skull) </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Body Composition (DEXA lean/fat) </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> 0.1709230 </td> <td style="text-align:right;"> 0.0625642 </td> <td style="text-align:right;"> 0.2792818 </td> <td style="text-align:right;"> 0.0552861 </td> <td style="text-align:right;"> 0.2091372 </td> <td style="text-align:right;"> 0.1015600 </td> <td style="text-align:right;"> 0.3167143 </td> <td style="text-align:right;"> 0.0548873 </td> <td style="text-align:right;"> 0.0372537 </td> <td style="text-align:right;"> -0.0130828 </td> <td style="text-align:right;"> 0.0875902 </td> <td style="text-align:right;"> 0.0256824 </td> </tr> <tr> <td style="text-align:left;"> bone mineral density (excluding skull) </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Body Composition (DEXA lean/fat) </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> 0.0542638 </td> <td style="text-align:right;"> -0.0881612 </td> <td style="text-align:right;"> 0.1966887 </td> <td style="text-align:right;"> 0.0726671 </td> <td style="text-align:right;"> 0.0492830 </td> <td style="text-align:right;"> -0.1087868 </td> <td style="text-align:right;"> 0.2073528 </td> <td style="text-align:right;"> 0.0806494 </td> <td style="text-align:right;"> 0.0012286 </td> <td style="text-align:right;"> -0.0187942 </td> <td style="text-align:right;"> 0.0212514 </td> <td style="text-align:right;"> 0.0102159 </td> </tr> <tr> <td style="text-align:left;"> calcium </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.0097946 </td> <td style="text-align:right;"> -0.0464600 </td> <td style="text-align:right;"> 0.0660492 </td> <td style="text-align:right;"> 0.0287018 </td> <td style="text-align:right;"> 0.0135683 </td> <td style="text-align:right;"> -0.0424600 </td> <td style="text-align:right;"> 0.0695966 </td> <td style="text-align:right;"> 0.0285864 </td> <td style="text-align:right;"> 0.0036564 </td> <td style="text-align:right;"> -0.0000609 </td> <td style="text-align:right;"> 0.0073737 </td> <td style="text-align:right;"> 0.0018966 </td> </tr> <tr> <td style="text-align:left;"> cardiac output </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Echo </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.0133816 </td> <td style="text-align:right;"> -0.0797535 </td> <td style="text-align:right;"> 0.1065166 </td> <td style="text-align:right;"> 0.0475188 </td> <td style="text-align:right;"> 0.1017991 </td> <td style="text-align:right;"> 0.0206287 </td> <td style="text-align:right;"> 0.1829694 </td> <td style="text-align:right;"> 0.0414142 </td> <td style="text-align:right;"> 0.0934439 </td> <td style="text-align:right;"> 0.0580233 </td> <td style="text-align:right;"> 0.1288645 </td> <td style="text-align:right;"> 0.0180721 </td> </tr> <tr> <td style="text-align:left;"> center average speed </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> 0.0167300 </td> <td style="text-align:right;"> -0.0404735 </td> <td style="text-align:right;"> 0.0739335 </td> <td style="text-align:right;"> 0.0291860 </td> <td style="text-align:right;"> -0.0588515 </td> <td style="text-align:right;"> -0.1004209 </td> <td style="text-align:right;"> -0.0172820 </td> <td style="text-align:right;"> 0.0212093 </td> <td style="text-align:right;"> -0.0724619 </td> <td style="text-align:right;"> -0.1149622 </td> <td style="text-align:right;"> -0.0299616 </td> <td style="text-align:right;"> 0.0216842 </td> </tr> <tr> <td style="text-align:left;"> center distance travelled </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> -0.0162603 </td> <td style="text-align:right;"> -0.0733243 </td> <td style="text-align:right;"> 0.0408038 </td> <td style="text-align:right;"> 0.0291149 </td> <td style="text-align:right;"> -0.1060637 </td> <td style="text-align:right;"> -0.2023343 </td> <td style="text-align:right;"> -0.0097930 </td> <td style="text-align:right;"> 0.0491186 </td> <td style="text-align:right;"> -0.0940204 </td> <td style="text-align:right;"> -0.1945774 </td> <td style="text-align:right;"> 0.0065366 </td> <td style="text-align:right;"> 0.0513055 </td> </tr> <tr> <td style="text-align:left;"> center permanence time </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> -0.0253715 </td> <td style="text-align:right;"> -0.0826435 </td> <td style="text-align:right;"> 0.0319004 </td> <td style="text-align:right;"> 0.0292209 </td> <td style="text-align:right;"> -0.0255734 </td> <td style="text-align:right;"> -0.1014389 </td> <td style="text-align:right;"> 0.0502922 </td> <td style="text-align:right;"> 0.0387076 </td> <td style="text-align:right;"> -0.0035151 </td> <td style="text-align:right;"> -0.0902886 </td> <td style="text-align:right;"> 0.0832585 </td> <td style="text-align:right;"> 0.0442730 </td> </tr> <tr> <td style="text-align:left;"> center resting time </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> 0.0244492 </td> <td style="text-align:right;"> -0.0737922 </td> <td style="text-align:right;"> 0.1226906 </td> <td style="text-align:right;"> 0.0501241 </td> <td style="text-align:right;"> -0.0228690 </td> <td style="text-align:right;"> -0.1548339 </td> <td style="text-align:right;"> 0.1090960 </td> <td style="text-align:right;"> 0.0673303 </td> <td style="text-align:right;"> -0.0630751 </td> <td style="text-align:right;"> -0.2215457 </td> <td style="text-align:right;"> 0.0953955 </td> <td style="text-align:right;"> 0.0808538 </td> </tr> <tr> <td style="text-align:left;"> chloride </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.0321555 </td> <td style="text-align:right;"> -0.1270972 </td> <td style="text-align:right;"> 0.1914083 </td> <td style="text-align:right;"> 0.0812529 </td> <td style="text-align:right;"> 0.0241491 </td> <td style="text-align:right;"> -0.1438502 </td> <td style="text-align:right;"> 0.1921485 </td> <td style="text-align:right;"> 0.0857155 </td> <td style="text-align:right;"> -0.0127047 </td> <td style="text-align:right;"> -0.0177349 </td> <td style="text-align:right;"> -0.0076745 </td> <td style="text-align:right;"> 0.0025665 </td> </tr> <tr> <td style="text-align:left;"> click-evoked abr threshold </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Auditory Brain Stem Response </td> <td style="text-align:left;"> Hearing </td> <td style="text-align:right;"> -0.0529450 </td> <td style="text-align:right;"> -0.1534816 </td> <td style="text-align:right;"> 0.0475915 </td> <td style="text-align:right;"> 0.0512951 </td> <td style="text-align:right;"> -0.0561198 </td> <td style="text-align:right;"> -0.1827679 </td> <td style="text-align:right;"> 0.0705282 </td> <td style="text-align:right;"> 0.0646176 </td> <td style="text-align:right;"> -0.0154221 </td> <td style="text-align:right;"> -0.0577200 </td> <td style="text-align:right;"> 0.0268757 </td> <td style="text-align:right;"> 0.0215809 </td> </tr> <tr> <td style="text-align:left;"> creatine kinase </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.0241232 </td> <td style="text-align:right;"> -0.1071457 </td> <td style="text-align:right;"> 0.1553920 </td> <td style="text-align:right;"> 0.0669751 </td> <td style="text-align:right;"> -0.1318792 </td> <td style="text-align:right;"> -0.3968974 </td> <td style="text-align:right;"> 0.1331390 </td> <td style="text-align:right;"> 0.1352159 </td> <td style="text-align:right;"> -0.1344413 </td> <td style="text-align:right;"> -0.3838303 </td> <td style="text-align:right;"> 0.1149476 </td> <td style="text-align:right;"> 0.1272416 </td> </tr> <tr> <td style="text-align:left;"> creatinine </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.0352315 </td> <td style="text-align:right;"> -0.0229205 </td> <td style="text-align:right;"> 0.0933835 </td> <td style="text-align:right;"> 0.0296699 </td> <td style="text-align:right;"> 0.1066373 </td> <td style="text-align:right;"> -0.2200831 </td> <td style="text-align:right;"> 0.4333578 </td> <td style="text-align:right;"> 0.1666972 </td> <td style="text-align:right;"> -0.0844078 </td> <td style="text-align:right;"> -0.1320251 </td> <td style="text-align:right;"> -0.0367905 </td> <td style="text-align:right;"> 0.0242950 </td> </tr> <tr> <td style="text-align:left;"> cv </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Electrocardiogram (ECG) </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.1874544 </td> <td style="text-align:right;"> 0.0716631 </td> <td style="text-align:right;"> 0.3032457 </td> <td style="text-align:right;"> 0.0590783 </td> <td style="text-align:right;"> -0.0895722 </td> <td style="text-align:right;"> -0.2484833 </td> <td style="text-align:right;"> 0.0693388 </td> <td style="text-align:right;"> 0.0810786 </td> <td style="text-align:right;"> -0.2401301 </td> <td style="text-align:right;"> -0.3410322 </td> <td style="text-align:right;"> -0.1392280 </td> <td style="text-align:right;"> 0.0514816 </td> </tr> <tr> <td style="text-align:left;"> distance travelled - total </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> -0.0187819 </td> <td style="text-align:right;"> -0.0858957 </td> <td style="text-align:right;"> 0.0483318 </td> <td style="text-align:right;"> 0.0342423 </td> <td style="text-align:right;"> -0.1272582 </td> <td style="text-align:right;"> -0.1997426 </td> <td style="text-align:right;"> -0.0547738 </td> <td style="text-align:right;"> 0.0369825 </td> <td style="text-align:right;"> -0.1121373 </td> <td style="text-align:right;"> -0.1816322 </td> <td style="text-align:right;"> -0.0426424 </td> <td style="text-align:right;"> 0.0354572 </td> </tr> <tr> <td style="text-align:left;"> ejection fraction </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Echo </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> -0.0300111 </td> <td style="text-align:right;"> -0.1345066 </td> <td style="text-align:right;"> 0.0744844 </td> <td style="text-align:right;"> 0.0533150 </td> <td style="text-align:right;"> -0.0525735 </td> <td style="text-align:right;"> -0.1483174 </td> <td style="text-align:right;"> 0.0431705 </td> <td style="text-align:right;"> 0.0488499 </td> <td style="text-align:right;"> -0.0284086 </td> <td style="text-align:right;"> -0.0492579 </td> <td style="text-align:right;"> -0.0075592 </td> <td style="text-align:right;"> 0.0106376 </td> </tr> <tr> <td style="text-align:left;"> end-diastolic diameter </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Echo </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.1120972 </td> <td style="text-align:right;"> 0.0431489 </td> <td style="text-align:right;"> 0.1810454 </td> <td style="text-align:right;"> 0.0351783 </td> <td style="text-align:right;"> 0.1743929 </td> <td style="text-align:right;"> 0.0875252 </td> <td style="text-align:right;"> 0.2612607 </td> <td style="text-align:right;"> 0.0443211 </td> <td style="text-align:right;"> 0.0600907 </td> <td style="text-align:right;"> 0.0354923 </td> <td style="text-align:right;"> 0.0846891 </td> <td style="text-align:right;"> 0.0125504 </td> </tr> <tr> <td style="text-align:left;"> end-systolic diameter </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Echo </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> -0.0084176 </td> <td style="text-align:right;"> -0.0780811 </td> <td style="text-align:right;"> 0.0612459 </td> <td style="text-align:right;"> 0.0355433 </td> <td style="text-align:right;"> 0.0668966 </td> <td style="text-align:right;"> -0.0016692 </td> <td style="text-align:right;"> 0.1354624 </td> <td style="text-align:right;"> 0.0349832 </td> <td style="text-align:right;"> 0.0763195 </td> <td style="text-align:right;"> 0.0451136 </td> <td style="text-align:right;"> 0.1075254 </td> <td style="text-align:right;"> 0.0159217 </td> </tr> <tr> <td style="text-align:left;"> fasted blood glucose concentration </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Intraperitoneal glucose tolerance test (IPGTT) </td> <td style="text-align:left;"> Metabolism </td> <td style="text-align:right;"> -0.0177245 </td> <td style="text-align:right;"> -0.1256855 </td> <td style="text-align:right;"> 0.0902366 </td> <td style="text-align:right;"> 0.0550832 </td> <td style="text-align:right;"> 0.0702824 </td> <td style="text-align:right;"> -0.0302439 </td> <td style="text-align:right;"> 0.1708087 </td> <td style="text-align:right;"> 0.0512899 </td> <td style="text-align:right;"> 0.0868420 </td> <td style="text-align:right;"> 0.0493007 </td> <td style="text-align:right;"> 0.1243832 </td> <td style="text-align:right;"> 0.0191541 </td> </tr> <tr> <td style="text-align:left;"> fat mass </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Body Composition (DEXA lean/fat) </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> 0.0408799 </td> <td style="text-align:right;"> -0.0430149 </td> <td style="text-align:right;"> 0.1247746 </td> <td style="text-align:right;"> 0.0428042 </td> <td style="text-align:right;"> 0.3714313 </td> <td style="text-align:right;"> 0.2698790 </td> <td style="text-align:right;"> 0.4729837 </td> <td style="text-align:right;"> 0.0518134 </td> <td style="text-align:right;"> 0.3282080 </td> <td style="text-align:right;"> 0.2669032 </td> <td style="text-align:right;"> 0.3895129 </td> <td style="text-align:right;"> 0.0312786 </td> </tr> <tr> <td style="text-align:left;"> fat/body weight </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Body Composition (DEXA lean/fat) </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> 0.0777327 </td> <td style="text-align:right;"> -0.0119735 </td> <td style="text-align:right;"> 0.1674390 </td> <td style="text-align:right;"> 0.0457693 </td> <td style="text-align:right;"> 0.2020776 </td> <td style="text-align:right;"> 0.1083557 </td> <td style="text-align:right;"> 0.2957996 </td> <td style="text-align:right;"> 0.0478182 </td> <td style="text-align:right;"> 0.1235292 </td> <td style="text-align:right;"> 0.0638629 </td> <td style="text-align:right;"> 0.1831955 </td> <td style="text-align:right;"> 0.0304425 </td> </tr> <tr> <td style="text-align:left;"> forelimb and hindlimb grip strength measurement mean </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Grip Strength </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> 0.0578158 </td> <td style="text-align:right;"> 0.0039998 </td> <td style="text-align:right;"> 0.1116318 </td> <td style="text-align:right;"> 0.0274577 </td> <td style="text-align:right;"> 0.1145986 </td> <td style="text-align:right;"> 0.0530521 </td> <td style="text-align:right;"> 0.1761451 </td> <td style="text-align:right;"> 0.0314018 </td> <td style="text-align:right;"> 0.0541888 </td> <td style="text-align:right;"> 0.0294838 </td> <td style="text-align:right;"> 0.0788938 </td> <td style="text-align:right;"> 0.0126048 </td> </tr> <tr> <td style="text-align:left;"> forelimb grip strength measurement mean </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Grip Strength </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> 0.0265051 </td> <td style="text-align:right;"> -0.0187240 </td> <td style="text-align:right;"> 0.0717341 </td> <td style="text-align:right;"> 0.0230765 </td> <td style="text-align:right;"> 0.0995076 </td> <td style="text-align:right;"> 0.0539740 </td> <td style="text-align:right;"> 0.1450413 </td> <td style="text-align:right;"> 0.0232319 </td> <td style="text-align:right;"> 0.0697061 </td> <td style="text-align:right;"> 0.0438625 </td> <td style="text-align:right;"> 0.0955496 </td> <td style="text-align:right;"> 0.0131857 </td> </tr> <tr> <td style="text-align:left;"> fractional shortening </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Echo </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> -0.0148852 </td> <td style="text-align:right;"> -0.1161666 </td> <td style="text-align:right;"> 0.0863961 </td> <td style="text-align:right;"> 0.0516751 </td> <td style="text-align:right;"> -0.0575326 </td> <td style="text-align:right;"> -0.1558559 </td> <td style="text-align:right;"> 0.0407907 </td> <td style="text-align:right;"> 0.0501659 </td> <td style="text-align:right;"> -0.0413498 </td> <td style="text-align:right;"> -0.0567105 </td> <td style="text-align:right;"> -0.0259891 </td> <td style="text-align:right;"> 0.0078372 </td> </tr> <tr> <td style="text-align:left;"> free fatty acids </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.0281576 </td> <td style="text-align:right;"> -0.1002531 </td> <td style="text-align:right;"> 0.1565683 </td> <td style="text-align:right;"> 0.0655169 </td> <td style="text-align:right;"> 0.0554109 </td> <td style="text-align:right;"> -0.0736861 </td> <td style="text-align:right;"> 0.1845079 </td> <td style="text-align:right;"> 0.0658670 </td> <td style="text-align:right;"> 0.0193783 </td> <td style="text-align:right;"> -0.0093700 </td> <td style="text-align:right;"> 0.0481266 </td> <td style="text-align:right;"> 0.0146678 </td> </tr> <tr> <td style="text-align:left;"> fructosamine </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> -0.0397864 </td> <td style="text-align:right;"> -0.1198801 </td> <td style="text-align:right;"> 0.0403073 </td> <td style="text-align:right;"> 0.0408649 </td> <td style="text-align:right;"> -0.0678231 </td> <td style="text-align:right;"> -0.1513538 </td> <td style="text-align:right;"> 0.0157075 </td> <td style="text-align:right;"> 0.0426184 </td> <td style="text-align:right;"> -0.0283579 </td> <td style="text-align:right;"> -0.0692447 </td> <td style="text-align:right;"> 0.0125289 </td> <td style="text-align:right;"> 0.0208610 </td> </tr> <tr> <td style="text-align:left;"> glucose </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.0692601 </td> <td style="text-align:right;"> 0.0184025 </td> <td style="text-align:right;"> 0.1201176 </td> <td style="text-align:right;"> 0.0259482 </td> <td style="text-align:right;"> 0.1279473 </td> <td style="text-align:right;"> 0.0423001 </td> <td style="text-align:right;"> 0.2135946 </td> <td style="text-align:right;"> 0.0436984 </td> <td style="text-align:right;"> 0.0650887 </td> <td style="text-align:right;"> 0.0218496 </td> <td style="text-align:right;"> 0.1083279 </td> <td style="text-align:right;"> 0.0220612 </td> </tr> <tr> <td style="text-align:left;"> hdl-cholesterol </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> -0.0650177 </td> <td style="text-align:right;"> -0.1255786 </td> <td style="text-align:right;"> -0.0044568 </td> <td style="text-align:right;"> 0.0308990 </td> <td style="text-align:right;"> 0.1724354 </td> <td style="text-align:right;"> 0.0701062 </td> <td style="text-align:right;"> 0.2747646 </td> <td style="text-align:right;"> 0.0522097 </td> <td style="text-align:right;"> 0.2606961 </td> <td style="text-align:right;"> 0.2180421 </td> <td style="text-align:right;"> 0.3033501 </td> <td style="text-align:right;"> 0.0217626 </td> </tr> <tr> <td style="text-align:left;"> heart weight </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Heart Weight </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> 0.1766832 </td> <td style="text-align:right;"> 0.0672843 </td> <td style="text-align:right;"> 0.2860820 </td> <td style="text-align:right;"> 0.0558168 </td> <td style="text-align:right;"> 0.3651806 </td> <td style="text-align:right;"> 0.2169840 </td> <td style="text-align:right;"> 0.5133772 </td> <td style="text-align:right;"> 0.0756119 </td> <td style="text-align:right;"> 0.1737615 </td> <td style="text-align:right;"> 0.1409037 </td> <td style="text-align:right;"> 0.2066193 </td> <td style="text-align:right;"> 0.0167645 </td> </tr> <tr> <td style="text-align:left;"> heart weight normalised against body weight </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Heart Weight </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> 0.0794303 </td> <td style="text-align:right;"> -0.0060591 </td> <td style="text-align:right;"> 0.1649198 </td> <td style="text-align:right;"> 0.0436179 </td> <td style="text-align:right;"> 0.0355574 </td> <td style="text-align:right;"> -0.0973272 </td> <td style="text-align:right;"> 0.1684419 </td> <td style="text-align:right;"> 0.0677995 </td> <td style="text-align:right;"> -0.0495578 </td> <td style="text-align:right;"> -0.0835809 </td> <td style="text-align:right;"> -0.0155346 </td> <td style="text-align:right;"> 0.0173591 </td> </tr> <tr> <td style="text-align:left;"> hematocrit </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> 0.0566356 </td> <td style="text-align:right;"> -0.0516862 </td> <td style="text-align:right;"> 0.1649575 </td> <td style="text-align:right;"> 0.0552673 </td> <td style="text-align:right;"> 0.0737071 </td> <td style="text-align:right;"> -0.0328632 </td> <td style="text-align:right;"> 0.1802774 </td> <td style="text-align:right;"> 0.0543736 </td> <td style="text-align:right;"> 0.0173967 </td> <td style="text-align:right;"> 0.0035179 </td> <td style="text-align:right;"> 0.0312754 </td> <td style="text-align:right;"> 0.0070811 </td> </tr> <tr> <td style="text-align:left;"> hemoglobin </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> 0.0867000 </td> <td style="text-align:right;"> 0.0269936 </td> <td style="text-align:right;"> 0.1464064 </td> <td style="text-align:right;"> 0.0304630 </td> <td style="text-align:right;"> 0.0867345 </td> <td style="text-align:right;"> 0.0194022 </td> <td style="text-align:right;"> 0.1540668 </td> <td style="text-align:right;"> 0.0343538 </td> <td style="text-align:right;"> 0.0051992 </td> <td style="text-align:right;"> -0.0080216 </td> <td style="text-align:right;"> 0.0184199 </td> <td style="text-align:right;"> 0.0067454 </td> </tr> <tr> <td style="text-align:left;"> hr </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Electrocardiogram (ECG) </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> -0.0634490 </td> <td style="text-align:right;"> -0.1734699 </td> <td style="text-align:right;"> 0.0465718 </td> <td style="text-align:right;"> 0.0561341 </td> <td style="text-align:right;"> -0.0140315 </td> <td style="text-align:right;"> -0.1488474 </td> <td style="text-align:right;"> 0.1207843 </td> <td style="text-align:right;"> 0.0687849 </td> <td style="text-align:right;"> 0.0406617 </td> <td style="text-align:right;"> -0.0139214 </td> <td style="text-align:right;"> 0.0952448 </td> <td style="text-align:right;"> 0.0278490 </td> </tr> <tr> <td style="text-align:left;"> hrv </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Electrocardiogram (ECG) </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.1722593 </td> <td style="text-align:right;"> 0.1094294 </td> <td style="text-align:right;"> 0.2350892 </td> <td style="text-align:right;"> 0.0320567 </td> <td style="text-align:right;"> -0.0813225 </td> <td style="text-align:right;"> -0.2125462 </td> <td style="text-align:right;"> 0.0499011 </td> <td style="text-align:right;"> 0.0669521 </td> <td style="text-align:right;"> -0.2504990 </td> <td style="text-align:right;"> -0.3657436 </td> <td style="text-align:right;"> -0.1352545 </td> <td style="text-align:right;"> 0.0587993 </td> </tr> <tr> <td style="text-align:left;"> initial response to glucose challenge </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Intraperitoneal glucose tolerance test (IPGTT) </td> <td style="text-align:left;"> Metabolism </td> <td style="text-align:right;"> -0.0968821 </td> <td style="text-align:right;"> -0.1503780 </td> <td style="text-align:right;"> -0.0433861 </td> <td style="text-align:right;"> 0.0272943 </td> <td style="text-align:right;"> 0.0429971 </td> <td style="text-align:right;"> 0.0141807 </td> <td style="text-align:right;"> 0.0718136 </td> <td style="text-align:right;"> 0.0147026 </td> <td style="text-align:right;"> 0.1183626 </td> <td style="text-align:right;"> 0.0853242 </td> <td style="text-align:right;"> 0.1514009 </td> <td style="text-align:right;"> 0.0168566 </td> </tr> <tr> <td style="text-align:left;"> insulin </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Insulin Blood Level </td> <td style="text-align:left;"> Metabolism </td> <td style="text-align:right;"> -0.0993292 </td> <td style="text-align:right;"> -0.3721975 </td> <td style="text-align:right;"> 0.1735391 </td> <td style="text-align:right;"> 0.1392211 </td> <td style="text-align:right;"> 0.1774003 </td> <td style="text-align:right;"> -0.1938091 </td> <td style="text-align:right;"> 0.5486096 </td> <td style="text-align:right;"> 0.1893960 </td> <td style="text-align:right;"> 0.4445455 </td> <td style="text-align:right;"> 0.0944498 </td> <td style="text-align:right;"> 0.7946412 </td> <td style="text-align:right;"> 0.1786236 </td> </tr> <tr> <td style="text-align:left;"> iron </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> -0.0974214 </td> <td style="text-align:right;"> -0.2141737 </td> <td style="text-align:right;"> 0.0193310 </td> <td style="text-align:right;"> 0.0595686 </td> <td style="text-align:right;"> -0.2534898 </td> <td style="text-align:right;"> -0.3963648 </td> <td style="text-align:right;"> -0.1106147 </td> <td style="text-align:right;"> 0.0728968 </td> <td style="text-align:right;"> -0.1527977 </td> <td style="text-align:right;"> -0.1930307 </td> <td style="text-align:right;"> -0.1125646 </td> <td style="text-align:right;"> 0.0205274 </td> </tr> <tr> <td style="text-align:left;"> lactate dehydrogenase </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.0941249 </td> <td style="text-align:right;"> -0.0214022 </td> <td style="text-align:right;"> 0.2096519 </td> <td style="text-align:right;"> 0.0589435 </td> <td style="text-align:right;"> 0.1409270 </td> <td style="text-align:right;"> -0.0620594 </td> <td style="text-align:right;"> 0.3439133 </td> <td style="text-align:right;"> 0.1035664 </td> <td style="text-align:right;"> 0.0318801 </td> <td style="text-align:right;"> -0.1412218 </td> <td style="text-align:right;"> 0.2049819 </td> <td style="text-align:right;"> 0.0883189 </td> </tr> <tr> <td style="text-align:left;"> latency to center entry </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> 0.1254239 </td> <td style="text-align:right;"> 0.0330185 </td> <td style="text-align:right;"> 0.2178293 </td> <td style="text-align:right;"> 0.0471465 </td> <td style="text-align:right;"> 0.3641221 </td> <td style="text-align:right;"> 0.2056000 </td> <td style="text-align:right;"> 0.5226441 </td> <td style="text-align:right;"> 0.0808801 </td> <td style="text-align:right;"> 0.2734519 </td> <td style="text-align:right;"> 0.0739366 </td> <td style="text-align:right;"> 0.4729672 </td> <td style="text-align:right;"> 0.1017954 </td> </tr> <tr> <td style="text-align:left;"> ldl-cholesterol </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.4231644 </td> <td style="text-align:right;"> 0.1551776 </td> <td style="text-align:right;"> 0.6911512 </td> <td style="text-align:right;"> 0.1367305 </td> <td style="text-align:right;"> 0.2669283 </td> <td style="text-align:right;"> -0.0956833 </td> <td style="text-align:right;"> 0.6295400 </td> <td style="text-align:right;"> 0.1850093 </td> <td style="text-align:right;"> -0.1615499 </td> <td style="text-align:right;"> -0.6010478 </td> <td style="text-align:right;"> 0.2779480 </td> <td style="text-align:right;"> 0.2242378 </td> </tr> <tr> <td style="text-align:left;"> lean mass </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Body Composition (DEXA lean/fat) </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> 0.1435756 </td> <td style="text-align:right;"> 0.0759342 </td> <td style="text-align:right;"> 0.2112170 </td> <td style="text-align:right;"> 0.0345115 </td> <td style="text-align:right;"> 0.3382447 </td> <td style="text-align:right;"> 0.2664863 </td> <td style="text-align:right;"> 0.4100031 </td> <td style="text-align:right;"> 0.0366121 </td> <td style="text-align:right;"> 0.1928945 </td> <td style="text-align:right;"> 0.1752425 </td> <td style="text-align:right;"> 0.2105465 </td> <td style="text-align:right;"> 0.0090063 </td> </tr> <tr> <td style="text-align:left;"> lean/body weight </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Body Composition (DEXA lean/fat) </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> 0.1953833 </td> <td style="text-align:right;"> 0.0912480 </td> <td style="text-align:right;"> 0.2995186 </td> <td style="text-align:right;"> 0.0531312 </td> <td style="text-align:right;"> 0.1840786 </td> <td style="text-align:right;"> 0.0863764 </td> <td style="text-align:right;"> 0.2817807 </td> <td style="text-align:right;"> 0.0498490 </td> <td style="text-align:right;"> -0.0122785 </td> <td style="text-align:right;"> -0.0257504 </td> <td style="text-align:right;"> 0.0011934 </td> <td style="text-align:right;"> 0.0068736 </td> </tr> <tr> <td style="text-align:left;"> left anterior chamber depth </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Eye Morphology </td> <td style="text-align:left;"> Eye </td> <td style="text-align:right;"> -0.1854856 </td> <td style="text-align:right;"> -0.4305058 </td> <td style="text-align:right;"> 0.0595347 </td> <td style="text-align:right;"> 0.1250126 </td> <td style="text-align:right;"> -0.1534983 </td> <td style="text-align:right;"> -0.4007283 </td> <td style="text-align:right;"> 0.0937316 </td> <td style="text-align:right;"> 0.1261401 </td> <td style="text-align:right;"> 0.0331746 </td> <td style="text-align:right;"> 0.0284172 </td> <td style="text-align:right;"> 0.0379321 </td> <td style="text-align:right;"> 0.0024273 </td> </tr> <tr> <td style="text-align:left;"> left corneal thickness </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Eye Morphology </td> <td style="text-align:left;"> Eye </td> <td style="text-align:right;"> -0.1446634 </td> <td style="text-align:right;"> -0.2339950 </td> <td style="text-align:right;"> -0.0553319 </td> <td style="text-align:right;"> 0.0455782 </td> <td style="text-align:right;"> -0.1352252 </td> <td style="text-align:right;"> -0.2234178 </td> <td style="text-align:right;"> -0.0470327 </td> <td style="text-align:right;"> 0.0449970 </td> <td style="text-align:right;"> 0.0075283 </td> <td style="text-align:right;"> -0.0057082 </td> <td style="text-align:right;"> 0.0207648 </td> <td style="text-align:right;"> 0.0067535 </td> </tr> <tr> <td style="text-align:left;"> left inner nuclear layer </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Eye Morphology </td> <td style="text-align:left;"> Eye </td> <td style="text-align:right;"> 0.0480458 </td> <td style="text-align:right;"> -0.0360706 </td> <td style="text-align:right;"> 0.1321622 </td> <td style="text-align:right;"> 0.0429173 </td> <td style="text-align:right;"> 0.0487217 </td> <td style="text-align:right;"> -0.0347622 </td> <td style="text-align:right;"> 0.1322057 </td> <td style="text-align:right;"> 0.0425946 </td> <td style="text-align:right;"> 0.0006956 </td> <td style="text-align:right;"> -0.0095012 </td> <td style="text-align:right;"> 0.0108923 </td> <td style="text-align:right;"> 0.0052025 </td> </tr> <tr> <td style="text-align:left;"> left outer nuclear layer </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Eye Morphology </td> <td style="text-align:left;"> Eye </td> <td style="text-align:right;"> -0.0675012 </td> <td style="text-align:right;"> -0.1511666 </td> <td style="text-align:right;"> 0.0161641 </td> <td style="text-align:right;"> 0.0426872 </td> <td style="text-align:right;"> -0.0618025 </td> <td style="text-align:right;"> -0.1452865 </td> <td style="text-align:right;"> 0.0216814 </td> <td style="text-align:right;"> 0.0425946 </td> <td style="text-align:right;"> 0.0063811 </td> <td style="text-align:right;"> 0.0011702 </td> <td style="text-align:right;"> 0.0115921 </td> <td style="text-align:right;"> 0.0026587 </td> </tr> <tr> <td style="text-align:left;"> left posterior chamber depth </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Eye Morphology </td> <td style="text-align:left;"> Eye </td> <td style="text-align:right;"> -0.2631046 </td> <td style="text-align:right;"> -0.4734756 </td> <td style="text-align:right;"> -0.0527336 </td> <td style="text-align:right;"> 0.1073341 </td> <td style="text-align:right;"> -0.2687360 </td> <td style="text-align:right;"> -0.4790035 </td> <td style="text-align:right;"> -0.0584686 </td> <td style="text-align:right;"> 0.1072813 </td> <td style="text-align:right;"> -0.0026027 </td> <td style="text-align:right;"> -0.0146655 </td> <td style="text-align:right;"> 0.0094600 </td> <td style="text-align:right;"> 0.0061546 </td> </tr> <tr> <td style="text-align:left;"> left total retinal thickness </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Eye Morphology </td> <td style="text-align:left;"> Eye </td> <td style="text-align:right;"> -0.1975770 </td> <td style="text-align:right;"> -0.4386627 </td> <td style="text-align:right;"> 0.0435087 </td> <td style="text-align:right;"> 0.1230052 </td> <td style="text-align:right;"> -0.1932648 </td> <td style="text-align:right;"> -0.4269751 </td> <td style="text-align:right;"> 0.0404456 </td> <td style="text-align:right;"> 0.1192422 </td> <td style="text-align:right;"> 0.0027995 </td> <td style="text-align:right;"> -0.0034907 </td> <td style="text-align:right;"> 0.0090898 </td> <td style="text-align:right;"> 0.0032094 </td> </tr> <tr> <td style="text-align:left;"> locomotor activity </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Combined SHIRPA and Dysmorphology </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> 0.0960106 </td> <td style="text-align:right;"> 0.0224214 </td> <td style="text-align:right;"> 0.1695997 </td> <td style="text-align:right;"> 0.0375462 </td> <td style="text-align:right;"> -0.0159064 </td> <td style="text-align:right;"> -0.0579694 </td> <td style="text-align:right;"> 0.0261566 </td> <td style="text-align:right;"> 0.0214611 </td> <td style="text-align:right;"> -0.1105803 </td> <td style="text-align:right;"> -0.1761043 </td> <td style="text-align:right;"> -0.0450562 </td> <td style="text-align:right;"> 0.0334313 </td> </tr> <tr> <td style="text-align:left;"> lvawd </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Echo </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.0228924 </td> <td style="text-align:right;"> -0.0247048 </td> <td style="text-align:right;"> 0.0704896 </td> <td style="text-align:right;"> 0.0242847 </td> <td style="text-align:right;"> 0.0454075 </td> <td style="text-align:right;"> -0.0013249 </td> <td style="text-align:right;"> 0.0921399 </td> <td style="text-align:right;"> 0.0238435 </td> <td style="text-align:right;"> 0.0246614 </td> <td style="text-align:right;"> 0.0114095 </td> <td style="text-align:right;"> 0.0379132 </td> <td style="text-align:right;"> 0.0067613 </td> </tr> <tr> <td style="text-align:left;"> lvaws </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Echo </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> -0.0017749 </td> <td style="text-align:right;"> -0.2517581 </td> <td style="text-align:right;"> 0.2482083 </td> <td style="text-align:right;"> 0.1275448 </td> <td style="text-align:right;"> 0.0232601 </td> <td style="text-align:right;"> -0.1776617 </td> <td style="text-align:right;"> 0.2241819 </td> <td style="text-align:right;"> 0.1025130 </td> <td style="text-align:right;"> 0.0112569 </td> <td style="text-align:right;"> -0.0306073 </td> <td style="text-align:right;"> 0.0531211 </td> <td style="text-align:right;"> 0.0213597 </td> </tr> <tr> <td style="text-align:left;"> lvidd </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Echo </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.0453256 </td> <td style="text-align:right;"> -0.0241892 </td> <td style="text-align:right;"> 0.1148405 </td> <td style="text-align:right;"> 0.0354674 </td> <td style="text-align:right;"> 0.0981450 </td> <td style="text-align:right;"> 0.0208146 </td> <td style="text-align:right;"> 0.1754754 </td> <td style="text-align:right;"> 0.0394550 </td> <td style="text-align:right;"> 0.0528053 </td> <td style="text-align:right;"> 0.0378669 </td> <td style="text-align:right;"> 0.0677436 </td> <td style="text-align:right;"> 0.0076218 </td> </tr> <tr> <td style="text-align:left;"> lvids </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Echo </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> -0.0635228 </td> <td style="text-align:right;"> -0.1990947 </td> <td style="text-align:right;"> 0.0720491 </td> <td style="text-align:right;"> 0.0691706 </td> <td style="text-align:right;"> 0.0083352 </td> <td style="text-align:right;"> -0.1335894 </td> <td style="text-align:right;"> 0.1502598 </td> <td style="text-align:right;"> 0.0724118 </td> <td style="text-align:right;"> 0.0756177 </td> <td style="text-align:right;"> 0.0525777 </td> <td style="text-align:right;"> 0.0986576 </td> <td style="text-align:right;"> 0.0117553 </td> </tr> <tr> <td style="text-align:left;"> lvpwd </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Echo </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> -0.0317376 </td> <td style="text-align:right;"> -0.1258062 </td> <td style="text-align:right;"> 0.0623311 </td> <td style="text-align:right;"> 0.0479951 </td> <td style="text-align:right;"> -0.0104248 </td> <td style="text-align:right;"> -0.1271922 </td> <td style="text-align:right;"> 0.1063426 </td> <td style="text-align:right;"> 0.0595763 </td> <td style="text-align:right;"> 0.0302674 </td> <td style="text-align:right;"> 0.0131900 </td> <td style="text-align:right;"> 0.0473448 </td> <td style="text-align:right;"> 0.0087131 </td> </tr> <tr> <td style="text-align:left;"> lvpws </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Echo </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> -0.0190522 </td> <td style="text-align:right;"> -0.1014670 </td> <td style="text-align:right;"> 0.0633627 </td> <td style="text-align:right;"> 0.0420492 </td> <td style="text-align:right;"> 0.0089592 </td> <td style="text-align:right;"> -0.0823356 </td> <td style="text-align:right;"> 0.1002540 </td> <td style="text-align:right;"> 0.0465798 </td> <td style="text-align:right;"> 0.0268487 </td> <td style="text-align:right;"> 0.0063146 </td> <td style="text-align:right;"> 0.0473828 </td> <td style="text-align:right;"> 0.0104768 </td> </tr> <tr> <td style="text-align:left;"> magnesium </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Urinalysis </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.0161699 </td> <td style="text-align:right;"> -0.0231196 </td> <td style="text-align:right;"> 0.0554593 </td> <td style="text-align:right;"> 0.0200460 </td> <td style="text-align:right;"> -0.0513056 </td> <td style="text-align:right;"> -0.1167021 </td> <td style="text-align:right;"> 0.0140909 </td> <td style="text-align:right;"> 0.0333662 </td> <td style="text-align:right;"> -0.0413354 </td> <td style="text-align:right;"> -0.1135580 </td> <td style="text-align:right;"> 0.0308871 </td> <td style="text-align:right;"> 0.0368489 </td> </tr> <tr> <td style="text-align:left;"> mean cell hemoglobin concentration </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> 0.0378015 </td> <td style="text-align:right;"> -0.0880637 </td> <td style="text-align:right;"> 0.1636666 </td> <td style="text-align:right;"> 0.0642181 </td> <td style="text-align:right;"> 0.0253063 </td> <td style="text-align:right;"> -0.1086076 </td> <td style="text-align:right;"> 0.1592202 </td> <td style="text-align:right;"> 0.0683247 </td> <td style="text-align:right;"> -0.0113450 </td> <td style="text-align:right;"> -0.0150702 </td> <td style="text-align:right;"> -0.0076199 </td> <td style="text-align:right;"> 0.0019006 </td> </tr> <tr> <td style="text-align:left;"> mean cell volume </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> 0.0039175 </td> <td style="text-align:right;"> -0.0957495 </td> <td style="text-align:right;"> 0.1035845 </td> <td style="text-align:right;"> 0.0508514 </td> <td style="text-align:right;"> -0.0030447 </td> <td style="text-align:right;"> -0.0961742 </td> <td style="text-align:right;"> 0.0900848 </td> <td style="text-align:right;"> 0.0475159 </td> <td style="text-align:right;"> -0.0063502 </td> <td style="text-align:right;"> -0.0099649 </td> <td style="text-align:right;"> -0.0027355 </td> <td style="text-align:right;"> 0.0018443 </td> </tr> <tr> <td style="text-align:left;"> mean corpuscular hemoglobin </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> -0.0025833 </td> <td style="text-align:right;"> -0.0653065 </td> <td style="text-align:right;"> 0.0601398 </td> <td style="text-align:right;"> 0.0320022 </td> <td style="text-align:right;"> -0.0193465 </td> <td style="text-align:right;"> -0.0824670 </td> <td style="text-align:right;"> 0.0437741 </td> <td style="text-align:right;"> 0.0322049 </td> <td style="text-align:right;"> -0.0169768 </td> <td style="text-align:right;"> -0.0197231 </td> <td style="text-align:right;"> -0.0142305 </td> <td style="text-align:right;"> 0.0014012 </td> </tr> <tr> <td style="text-align:left;"> mean platelet volume </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> 0.0487366 </td> <td style="text-align:right;"> -0.0044688 </td> <td style="text-align:right;"> 0.1019419 </td> <td style="text-align:right;"> 0.0271461 </td> <td style="text-align:right;"> 0.0353913 </td> <td style="text-align:right;"> -0.0210323 </td> <td style="text-align:right;"> 0.0918150 </td> <td style="text-align:right;"> 0.0287881 </td> <td style="text-align:right;"> -0.0174066 </td> <td style="text-align:right;"> -0.0276044 </td> <td style="text-align:right;"> -0.0072089 </td> <td style="text-align:right;"> 0.0052030 </td> </tr> <tr> <td style="text-align:left;"> mean r amplitude </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Electrocardiogram (ECG) </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.0084703 </td> <td style="text-align:right;"> -0.0282092 </td> <td style="text-align:right;"> 0.0451499 </td> <td style="text-align:right;"> 0.0187144 </td> <td style="text-align:right;"> -0.0948208 </td> <td style="text-align:right;"> -0.1630495 </td> <td style="text-align:right;"> -0.0265922 </td> <td style="text-align:right;"> 0.0348112 </td> <td style="text-align:right;"> -0.0835612 </td> <td style="text-align:right;"> -0.1503108 </td> <td style="text-align:right;"> -0.0168116 </td> <td style="text-align:right;"> 0.0340565 </td> </tr> <tr> <td style="text-align:left;"> mean sr amplitude </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Electrocardiogram (ECG) </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.0284617 </td> <td style="text-align:right;"> -0.0131943 </td> <td style="text-align:right;"> 0.0701178 </td> <td style="text-align:right;"> 0.0212535 </td> <td style="text-align:right;"> -0.0876811 </td> <td style="text-align:right;"> -0.1270777 </td> <td style="text-align:right;"> -0.0482845 </td> <td style="text-align:right;"> 0.0201007 </td> <td style="text-align:right;"> -0.1130259 </td> <td style="text-align:right;"> -0.1558048 </td> <td style="text-align:right;"> -0.0702470 </td> <td style="text-align:right;"> 0.0218264 </td> </tr> <tr> <td style="text-align:left;"> number of center entries </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> 0.0150703 </td> <td style="text-align:right;"> -0.0534907 </td> <td style="text-align:right;"> 0.0836313 </td> <td style="text-align:right;"> 0.0349807 </td> <td style="text-align:right;"> -0.0361259 </td> <td style="text-align:right;"> -0.0952472 </td> <td style="text-align:right;"> 0.0229955 </td> <td style="text-align:right;"> 0.0301645 </td> <td style="text-align:right;"> -0.0588092 </td> <td style="text-align:right;"> -0.1679907 </td> <td style="text-align:right;"> 0.0503723 </td> <td style="text-align:right;"> 0.0557059 </td> </tr> <tr> <td style="text-align:left;"> number of rears - total </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> -0.0011326 </td> <td style="text-align:right;"> -0.1141113 </td> <td style="text-align:right;"> 0.1118461 </td> <td style="text-align:right;"> 0.0576432 </td> <td style="text-align:right;"> 0.1869490 </td> <td style="text-align:right;"> -0.0392422 </td> <td style="text-align:right;"> 0.4131402 </td> <td style="text-align:right;"> 0.1154058 </td> <td style="text-align:right;"> 0.1794328 </td> <td style="text-align:right;"> 0.0568682 </td> <td style="text-align:right;"> 0.3019974 </td> <td style="text-align:right;"> 0.0625341 </td> </tr> <tr> <td style="text-align:left;"> others </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.1684902 </td> <td style="text-align:right;"> -0.2596648 </td> <td style="text-align:right;"> -0.0773156 </td> <td style="text-align:right;"> 0.0465185 </td> <td style="text-align:right;"> -0.1515195 </td> <td style="text-align:right;"> -0.2435956 </td> <td style="text-align:right;"> -0.0594434 </td> <td style="text-align:right;"> 0.0469785 </td> <td style="text-align:right;"> 0.0196158 </td> <td style="text-align:right;"> 0.0049349 </td> <td style="text-align:right;"> 0.0342967 </td> <td style="text-align:right;"> 0.0074904 </td> </tr> <tr> <td style="text-align:left;"> pdcs </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.1732553 </td> <td style="text-align:right;"> -0.4003845 </td> <td style="text-align:right;"> 0.0538738 </td> <td style="text-align:right;"> 0.1158844 </td> <td style="text-align:right;"> -0.2572491 </td> <td style="text-align:right;"> -0.7186201 </td> <td style="text-align:right;"> 0.2041219 </td> <td style="text-align:right;"> 0.2353977 </td> <td style="text-align:right;"> -0.0915619 </td> <td style="text-align:right;"> -0.2522236 </td> <td style="text-align:right;"> 0.0690997 </td> <td style="text-align:right;"> 0.0819717 </td> </tr> <tr> <td style="text-align:left;"> percentage center time </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> -0.0219679 </td> <td style="text-align:right;"> -0.0863184 </td> <td style="text-align:right;"> 0.0423826 </td> <td style="text-align:right;"> 0.0328325 </td> <td style="text-align:right;"> -0.0188907 </td> <td style="text-align:right;"> -0.0912088 </td> <td style="text-align:right;"> 0.0534274 </td> <td style="text-align:right;"> 0.0368977 </td> <td style="text-align:right;"> -0.0061802 </td> <td style="text-align:right;"> -0.0972542 </td> <td style="text-align:right;"> 0.0848938 </td> <td style="text-align:right;"> 0.0464672 </td> </tr> <tr> <td style="text-align:left;"> periphery average speed </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> -0.0444272 </td> <td style="text-align:right;"> -0.1082870 </td> <td style="text-align:right;"> 0.0194327 </td> <td style="text-align:right;"> 0.0325822 </td> <td style="text-align:right;"> -0.1401304 </td> <td style="text-align:right;"> -0.2117709 </td> <td style="text-align:right;"> -0.0684898 </td> <td style="text-align:right;"> 0.0365520 </td> <td style="text-align:right;"> -0.0963838 </td> <td style="text-align:right;"> -0.1446043 </td> <td style="text-align:right;"> -0.0481633 </td> <td style="text-align:right;"> 0.0246028 </td> </tr> <tr> <td style="text-align:left;"> periphery distance travelled </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> -0.0313217 </td> <td style="text-align:right;"> -0.0918314 </td> <td style="text-align:right;"> 0.0291879 </td> <td style="text-align:right;"> 0.0308728 </td> <td style="text-align:right;"> -0.1342236 </td> <td style="text-align:right;"> -0.1874097 </td> <td style="text-align:right;"> -0.0810376 </td> <td style="text-align:right;"> 0.0271362 </td> <td style="text-align:right;"> -0.1037239 </td> <td style="text-align:right;"> -0.1714836 </td> <td style="text-align:right;"> -0.0359643 </td> <td style="text-align:right;"> 0.0345719 </td> </tr> <tr> <td style="text-align:left;"> periphery permanence time </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> -0.0369177 </td> <td style="text-align:right;"> -0.1277076 </td> <td style="text-align:right;"> 0.0538721 </td> <td style="text-align:right;"> 0.0463222 </td> <td style="text-align:right;"> -0.0294978 </td> <td style="text-align:right;"> -0.1006346 </td> <td style="text-align:right;"> 0.0416390 </td> <td style="text-align:right;"> 0.0362950 </td> <td style="text-align:right;"> 0.0077038 </td> <td style="text-align:right;"> -0.0137850 </td> <td style="text-align:right;"> 0.0291927 </td> <td style="text-align:right;"> 0.0109639 </td> </tr> <tr> <td style="text-align:left;"> periphery resting time </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> -0.0536346 </td> <td style="text-align:right;"> -0.1266045 </td> <td style="text-align:right;"> 0.0193353 </td> <td style="text-align:right;"> 0.0372302 </td> <td style="text-align:right;"> -0.0572459 </td> <td style="text-align:right;"> -0.1071515 </td> <td style="text-align:right;"> -0.0073404 </td> <td style="text-align:right;"> 0.0254625 </td> <td style="text-align:right;"> 0.0026007 </td> <td style="text-align:right;"> -0.0558538 </td> <td style="text-align:right;"> 0.0610552 </td> <td style="text-align:right;"> 0.0298243 </td> </tr> <tr> <td style="text-align:left;"> phosphorus </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> -0.0485897 </td> <td style="text-align:right;"> -0.0839101 </td> <td style="text-align:right;"> -0.0132693 </td> <td style="text-align:right;"> 0.0180209 </td> <td style="text-align:right;"> -0.0826120 </td> <td style="text-align:right;"> -0.1576473 </td> <td style="text-align:right;"> -0.0075767 </td> <td style="text-align:right;"> 0.0382840 </td> <td style="text-align:right;"> -0.0420616 </td> <td style="text-align:right;"> -0.0813582 </td> <td style="text-align:right;"> -0.0027650 </td> <td style="text-align:right;"> 0.0200497 </td> </tr> <tr> <td style="text-align:left;"> platelet count </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> 0.0737198 </td> <td style="text-align:right;"> 0.0205862 </td> <td style="text-align:right;"> 0.1268534 </td> <td style="text-align:right;"> 0.0271095 </td> <td style="text-align:right;"> 0.2415135 </td> <td style="text-align:right;"> 0.1865330 </td> <td style="text-align:right;"> 0.2964940 </td> <td style="text-align:right;"> 0.0280518 </td> <td style="text-align:right;"> 0.1642192 </td> <td style="text-align:right;"> 0.1369820 </td> <td style="text-align:right;"> 0.1914563 </td> <td style="text-align:right;"> 0.0138968 </td> </tr> <tr> <td style="text-align:left;"> pnn5(6>ms) </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Electrocardiogram (ECG) </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.2906905 </td> <td style="text-align:right;"> 0.1716202 </td> <td style="text-align:right;"> 0.4097607 </td> <td style="text-align:right;"> 0.0607512 </td> <td style="text-align:right;"> -0.2926013 </td> <td style="text-align:right;"> -0.5272121 </td> <td style="text-align:right;"> -0.0579905 </td> <td style="text-align:right;"> 0.1197016 </td> <td style="text-align:right;"> -0.6004767 </td> <td style="text-align:right;"> -0.9244113 </td> <td style="text-align:right;"> -0.2765420 </td> <td style="text-align:right;"> 0.1652758 </td> </tr> <tr> <td style="text-align:left;"> potassium </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> -0.0705522 </td> <td style="text-align:right;"> -0.2214989 </td> <td style="text-align:right;"> 0.0803945 </td> <td style="text-align:right;"> 0.0770150 </td> <td style="text-align:right;"> -0.0074675 </td> <td style="text-align:right;"> -0.1729366 </td> <td style="text-align:right;"> 0.1580015 </td> <td style="text-align:right;"> 0.0844245 </td> <td style="text-align:right;"> 0.0704162 </td> <td style="text-align:right;"> 0.0476647 </td> <td style="text-align:right;"> 0.0931676 </td> <td style="text-align:right;"> 0.0116081 </td> </tr> <tr> <td style="text-align:left;"> pq </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Electrocardiogram (ECG) </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> -0.0650960 </td> <td style="text-align:right;"> -0.1538776 </td> <td style="text-align:right;"> 0.0236857 </td> <td style="text-align:right;"> 0.0452976 </td> <td style="text-align:right;"> -0.0648322 </td> <td style="text-align:right;"> -0.1270688 </td> <td style="text-align:right;"> -0.0025955 </td> <td style="text-align:right;"> 0.0317540 </td> <td style="text-align:right;"> 0.0015656 </td> <td style="text-align:right;"> -0.0259865 </td> <td style="text-align:right;"> 0.0291178 </td> <td style="text-align:right;"> 0.0140575 </td> </tr> <tr> <td style="text-align:left;"> pr </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Electrocardiogram (ECG) </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> -0.0564860 </td> <td style="text-align:right;"> -0.1048371 </td> <td style="text-align:right;"> -0.0081349 </td> <td style="text-align:right;"> 0.0246694 </td> <td style="text-align:right;"> -0.0754718 </td> <td style="text-align:right;"> -0.1235224 </td> <td style="text-align:right;"> -0.0274213 </td> <td style="text-align:right;"> 0.0245160 </td> <td style="text-align:right;"> -0.0183785 </td> <td style="text-align:right;"> -0.0319887 </td> <td style="text-align:right;"> -0.0047684 </td> <td style="text-align:right;"> 0.0069441 </td> </tr> <tr> <td style="text-align:left;"> qrs </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Electrocardiogram (ECG) </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.0725454 </td> <td style="text-align:right;"> 0.0354722 </td> <td style="text-align:right;"> 0.1096185 </td> <td style="text-align:right;"> 0.0189152 </td> <td style="text-align:right;"> 0.0681074 </td> <td style="text-align:right;"> 0.0300869 </td> <td style="text-align:right;"> 0.1061278 </td> <td style="text-align:right;"> 0.0193986 </td> <td style="text-align:right;"> -0.0054233 </td> <td style="text-align:right;"> -0.0154885 </td> <td style="text-align:right;"> 0.0046418 </td> <td style="text-align:right;"> 0.0051354 </td> </tr> <tr> <td style="text-align:left;"> qtc </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Electrocardiogram (ECG) </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.0328106 </td> <td style="text-align:right;"> -0.0101032 </td> <td style="text-align:right;"> 0.0757244 </td> <td style="text-align:right;"> 0.0218952 </td> <td style="text-align:right;"> 0.0310473 </td> <td style="text-align:right;"> -0.0207365 </td> <td style="text-align:right;"> 0.0828310 </td> <td style="text-align:right;"> 0.0264208 </td> <td style="text-align:right;"> -0.0005046 </td> <td style="text-align:right;"> -0.0085696 </td> <td style="text-align:right;"> 0.0075604 </td> <td style="text-align:right;"> 0.0041149 </td> </tr> <tr> <td style="text-align:left;"> qtc dispersion </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Electrocardiogram (ECG) </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.0031258 </td> <td style="text-align:right;"> -0.0523919 </td> <td style="text-align:right;"> 0.0586435 </td> <td style="text-align:right;"> 0.0283259 </td> <td style="text-align:right;"> -0.0046501 </td> <td style="text-align:right;"> -0.1060530 </td> <td style="text-align:right;"> 0.0967528 </td> <td style="text-align:right;"> 0.0517371 </td> <td style="text-align:right;"> -0.0077373 </td> <td style="text-align:right;"> -0.0510162 </td> <td style="text-align:right;"> 0.0355416 </td> <td style="text-align:right;"> 0.0220815 </td> </tr> <tr> <td style="text-align:left;"> red blood cell count </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> 0.0773455 </td> <td style="text-align:right;"> 0.0071933 </td> <td style="text-align:right;"> 0.1474977 </td> <td style="text-align:right;"> 0.0357926 </td> <td style="text-align:right;"> 0.0997278 </td> <td style="text-align:right;"> 0.0316996 </td> <td style="text-align:right;"> 0.1677560 </td> <td style="text-align:right;"> 0.0347089 </td> <td style="text-align:right;"> 0.0228493 </td> <td style="text-align:right;"> 0.0088583 </td> <td style="text-align:right;"> 0.0368404 </td> <td style="text-align:right;"> 0.0071384 </td> </tr> <tr> <td style="text-align:left;"> red blood cell distribution width </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> 0.1248464 </td> <td style="text-align:right;"> -0.0035148 </td> <td style="text-align:right;"> 0.2532076 </td> <td style="text-align:right;"> 0.0654916 </td> <td style="text-align:right;"> 0.1353460 </td> <td style="text-align:right;"> -0.0035862 </td> <td style="text-align:right;"> 0.2742782 </td> <td style="text-align:right;"> 0.0708851 </td> <td style="text-align:right;"> 0.0104789 </td> <td style="text-align:right;"> -0.0032056 </td> <td style="text-align:right;"> 0.0241635 </td> <td style="text-align:right;"> 0.0069821 </td> </tr> <tr> <td style="text-align:left;"> respiration rate </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Echo </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> -0.1384843 </td> <td style="text-align:right;"> -0.2178736 </td> <td style="text-align:right;"> -0.0590950 </td> <td style="text-align:right;"> 0.0405055 </td> <td style="text-align:right;"> -0.0703570 </td> <td style="text-align:right;"> -0.1795875 </td> <td style="text-align:right;"> 0.0388735 </td> <td style="text-align:right;"> 0.0557309 </td> <td style="text-align:right;"> 0.0611034 </td> <td style="text-align:right;"> 0.0227141 </td> <td style="text-align:right;"> 0.0994926 </td> <td style="text-align:right;"> 0.0195867 </td> </tr> <tr> <td style="text-align:left;"> respiratory exchange ratio </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Indirect Calorimetry </td> <td style="text-align:left;"> Metabolism </td> <td style="text-align:right;"> -0.0116565 </td> <td style="text-align:right;"> -0.0896490 </td> <td style="text-align:right;"> 0.0663361 </td> <td style="text-align:right;"> 0.0397928 </td> <td style="text-align:right;"> -0.0106530 </td> <td style="text-align:right;"> -0.0878483 </td> <td style="text-align:right;"> 0.0665424 </td> <td style="text-align:right;"> 0.0393861 </td> <td style="text-align:right;"> 0.0017027 </td> <td style="text-align:right;"> -0.0057348 </td> <td style="text-align:right;"> 0.0091402 </td> <td style="text-align:right;"> 0.0037947 </td> </tr> <tr> <td style="text-align:left;"> right anterior chamber depth </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Eye Morphology </td> <td style="text-align:left;"> Eye </td> <td style="text-align:right;"> -0.4491432 </td> <td style="text-align:right;"> -1.3293546 </td> <td style="text-align:right;"> 0.4310682 </td> <td style="text-align:right;"> 0.4490957 </td> <td style="text-align:right;"> -0.4157377 </td> <td style="text-align:right;"> -1.2918620 </td> <td style="text-align:right;"> 0.4603867 </td> <td style="text-align:right;"> 0.4470104 </td> <td style="text-align:right;"> 0.0316098 </td> <td style="text-align:right;"> 0.0264512 </td> <td style="text-align:right;"> 0.0367685 </td> <td style="text-align:right;"> 0.0026320 </td> </tr> <tr> <td style="text-align:left;"> right corneal thickness </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Eye Morphology </td> <td style="text-align:left;"> Eye </td> <td style="text-align:right;"> -0.0355898 </td> <td style="text-align:right;"> -0.2280522 </td> <td style="text-align:right;"> 0.1568726 </td> <td style="text-align:right;"> 0.0981969 </td> <td style="text-align:right;"> -0.0306550 </td> <td style="text-align:right;"> -0.1963692 </td> <td style="text-align:right;"> 0.1350592 </td> <td style="text-align:right;"> 0.0845496 </td> <td style="text-align:right;"> -0.0013855 </td> <td style="text-align:right;"> -0.0237830 </td> <td style="text-align:right;"> 0.0210121 </td> <td style="text-align:right;"> 0.0114275 </td> </tr> <tr> <td style="text-align:left;"> right inner nuclear layer </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Eye Morphology </td> <td style="text-align:left;"> Eye </td> <td style="text-align:right;"> -0.2545083 </td> <td style="text-align:right;"> -0.7633116 </td> <td style="text-align:right;"> 0.2542949 </td> <td style="text-align:right;"> 0.2595983 </td> <td style="text-align:right;"> -0.2785114 </td> <td style="text-align:right;"> -0.8373133 </td> <td style="text-align:right;"> 0.2802906 </td> <td style="text-align:right;"> 0.2851083 </td> <td style="text-align:right;"> -0.0175090 </td> <td style="text-align:right;"> -0.0664158 </td> <td style="text-align:right;"> 0.0313978 </td> <td style="text-align:right;"> 0.0249529 </td> </tr> <tr> <td style="text-align:left;"> right outer nuclear layer </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Eye Morphology </td> <td style="text-align:left;"> Eye </td> <td style="text-align:right;"> 0.0061253 </td> <td style="text-align:right;"> -0.0781241 </td> <td style="text-align:right;"> 0.0903746 </td> <td style="text-align:right;"> 0.0429851 </td> <td style="text-align:right;"> 0.0109098 </td> <td style="text-align:right;"> -0.0731427 </td> <td style="text-align:right;"> 0.0949622 </td> <td style="text-align:right;"> 0.0428847 </td> <td style="text-align:right;"> 0.0055513 </td> <td style="text-align:right;"> 0.0000519 </td> <td style="text-align:right;"> 0.0110508 </td> <td style="text-align:right;"> 0.0028059 </td> </tr> <tr> <td style="text-align:left;"> right posterior chamber depth </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Eye Morphology </td> <td style="text-align:left;"> Eye </td> <td style="text-align:right;"> -0.0775673 </td> <td style="text-align:right;"> -0.2905688 </td> <td style="text-align:right;"> 0.1354341 </td> <td style="text-align:right;"> 0.1086762 </td> <td style="text-align:right;"> -0.0764571 </td> <td style="text-align:right;"> -0.2893152 </td> <td style="text-align:right;"> 0.1364010 </td> <td style="text-align:right;"> 0.1086031 </td> <td style="text-align:right;"> 0.0071990 </td> <td style="text-align:right;"> -0.0178434 </td> <td style="text-align:right;"> 0.0322413 </td> <td style="text-align:right;"> 0.0127769 </td> </tr> <tr> <td style="text-align:left;"> right total retinal thickness </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Eye Morphology </td> <td style="text-align:left;"> Eye </td> <td style="text-align:right;"> -0.1987993 </td> <td style="text-align:right;"> -0.6457320 </td> <td style="text-align:right;"> 0.2481333 </td> <td style="text-align:right;"> 0.2280310 </td> <td style="text-align:right;"> -0.1925482 </td> <td style="text-align:right;"> -0.6285715 </td> <td style="text-align:right;"> 0.2434750 </td> <td style="text-align:right;"> 0.2224649 </td> <td style="text-align:right;"> 0.0052882 </td> <td style="text-align:right;"> -0.0045957 </td> <td style="text-align:right;"> 0.0151720 </td> <td style="text-align:right;"> 0.0050429 </td> </tr> <tr> <td style="text-align:left;"> rmssd </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Electrocardiogram (ECG) </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.1800273 </td> <td style="text-align:right;"> -0.0882317 </td> <td style="text-align:right;"> 0.4482864 </td> <td style="text-align:right;"> 0.1368694 </td> <td style="text-align:right;"> -0.0161048 </td> <td style="text-align:right;"> -0.4112809 </td> <td style="text-align:right;"> 0.3790712 </td> <td style="text-align:right;"> 0.2016241 </td> <td style="text-align:right;"> -0.1178703 </td> <td style="text-align:right;"> -0.2449843 </td> <td style="text-align:right;"> 0.0092436 </td> <td style="text-align:right;"> 0.0648552 </td> </tr> <tr> <td style="text-align:left;"> rp macrophage (cd19- cd11c-) </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> -0.0765771 </td> <td style="text-align:right;"> -0.3398075 </td> <td style="text-align:right;"> 0.1866533 </td> <td style="text-align:right;"> 0.1343037 </td> <td style="text-align:right;"> -0.0747691 </td> <td style="text-align:right;"> -0.3351316 </td> <td style="text-align:right;"> 0.1855933 </td> <td style="text-align:right;"> 0.1328404 </td> <td style="text-align:right;"> -0.0746396 </td> <td style="text-align:right;"> -0.2072980 </td> <td style="text-align:right;"> 0.0580188 </td> <td style="text-align:right;"> 0.0676841 </td> </tr> <tr> <td style="text-align:left;"> rr </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Electrocardiogram (ECG) </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> -0.0761505 </td> <td style="text-align:right;"> -0.1876687 </td> <td style="text-align:right;"> 0.0353678 </td> <td style="text-align:right;"> 0.0568981 </td> <td style="text-align:right;"> -0.0896869 </td> <td style="text-align:right;"> -0.2063458 </td> <td style="text-align:right;"> 0.0269721 </td> <td style="text-align:right;"> 0.0595210 </td> <td style="text-align:right;"> -0.0125023 </td> <td style="text-align:right;"> -0.0214082 </td> <td style="text-align:right;"> -0.0035963 </td> <td style="text-align:right;"> 0.0045440 </td> </tr> <tr> <td style="text-align:left;"> sodium </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.0262100 </td> <td style="text-align:right;"> -0.1171674 </td> <td style="text-align:right;"> 0.1695873 </td> <td style="text-align:right;"> 0.0731531 </td> <td style="text-align:right;"> 0.0338228 </td> <td style="text-align:right;"> -0.1337162 </td> <td style="text-align:right;"> 0.2013618 </td> <td style="text-align:right;"> 0.0854806 </td> <td style="text-align:right;"> 0.0099680 </td> <td style="text-align:right;"> 0.0065815 </td> <td style="text-align:right;"> 0.0133545 </td> <td style="text-align:right;"> 0.0017278 </td> </tr> <tr> <td style="text-align:left;"> spleen weight </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Immunophenotyping </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:right;"> 0.1874259 </td> <td style="text-align:right;"> -0.0500875 </td> <td style="text-align:right;"> 0.4249393 </td> <td style="text-align:right;"> 0.1211825 </td> <td style="text-align:right;"> 0.1133706 </td> <td style="text-align:right;"> -0.1604807 </td> <td style="text-align:right;"> 0.3872220 </td> <td style="text-align:right;"> 0.1397227 </td> <td style="text-align:right;"> -0.1542349 </td> <td style="text-align:right;"> -0.2104415 </td> <td style="text-align:right;"> -0.0980283 </td> <td style="text-align:right;"> 0.0286774 </td> </tr> <tr> <td style="text-align:left;"> st </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Electrocardiogram (ECG) </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.0032888 </td> <td style="text-align:right;"> -0.0544512 </td> <td style="text-align:right;"> 0.0610288 </td> <td style="text-align:right;"> 0.0294597 </td> <td style="text-align:right;"> -0.0054976 </td> <td style="text-align:right;"> -0.0811810 </td> <td style="text-align:right;"> 0.0701858 </td> <td style="text-align:right;"> 0.0386147 </td> <td style="text-align:right;"> -0.0034902 </td> <td style="text-align:right;"> -0.0175917 </td> <td style="text-align:right;"> 0.0106113 </td> <td style="text-align:right;"> 0.0071948 </td> </tr> <tr> <td style="text-align:left;"> stroke volume </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Echo </td> <td style="text-align:left;"> Heart </td> <td style="text-align:right;"> 0.0594276 </td> <td style="text-align:right;"> -0.0782445 </td> <td style="text-align:right;"> 0.1970997 </td> <td style="text-align:right;"> 0.0702422 </td> <td style="text-align:right;"> 0.1574330 </td> <td style="text-align:right;"> 0.0091891 </td> <td style="text-align:right;"> 0.3056769 </td> <td style="text-align:right;"> 0.0756360 </td> <td style="text-align:right;"> 0.0937375 </td> <td style="text-align:right;"> 0.0775587 </td> <td style="text-align:right;"> 0.1099162 </td> <td style="text-align:right;"> 0.0082546 </td> </tr> <tr> <td style="text-align:left;"> tibia length </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Heart Weight </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:right;"> -0.1475403 </td> <td style="text-align:right;"> -0.4396127 </td> <td style="text-align:right;"> 0.1445320 </td> <td style="text-align:right;"> 0.1490192 </td> <td style="text-align:right;"> -0.1374401 </td> <td style="text-align:right;"> -0.4261352 </td> <td style="text-align:right;"> 0.1512551 </td> <td style="text-align:right;"> 0.1472961 </td> <td style="text-align:right;"> 0.0095199 </td> <td style="text-align:right;"> 0.0059199 </td> <td style="text-align:right;"> 0.0131200 </td> <td style="text-align:right;"> 0.0018368 </td> </tr> <tr> <td style="text-align:left;"> total bilirubin </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.0605449 </td> <td style="text-align:right;"> -0.0097669 </td> <td style="text-align:right;"> 0.1308567 </td> <td style="text-align:right;"> 0.0358740 </td> <td style="text-align:right;"> 0.0022671 </td> <td style="text-align:right;"> -0.0859910 </td> <td style="text-align:right;"> 0.0905252 </td> <td style="text-align:right;"> 0.0450305 </td> <td style="text-align:right;"> -0.0550333 </td> <td style="text-align:right;"> -0.0979518 </td> <td style="text-align:right;"> -0.0121148 </td> <td style="text-align:right;"> 0.0218976 </td> </tr> <tr> <td style="text-align:left;"> total cholesterol </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.0942595 </td> <td style="text-align:right;"> -0.0751596 </td> <td style="text-align:right;"> 0.2636786 </td> <td style="text-align:right;"> 0.0864399 </td> <td style="text-align:right;"> 0.3142208 </td> <td style="text-align:right;"> 0.1125613 </td> <td style="text-align:right;"> 0.5158803 </td> <td style="text-align:right;"> 0.1028894 </td> <td style="text-align:right;"> 0.2027583 </td> <td style="text-align:right;"> 0.1750477 </td> <td style="text-align:right;"> 0.2304688 </td> <td style="text-align:right;"> 0.0141383 </td> </tr> <tr> <td style="text-align:left;"> total food intake </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Indirect Calorimetry </td> <td style="text-align:left;"> Metabolism </td> <td style="text-align:right;"> -0.1192293 </td> <td style="text-align:right;"> -0.2542902 </td> <td style="text-align:right;"> 0.0158316 </td> <td style="text-align:right;"> 0.0689099 </td> <td style="text-align:right;"> -0.0964842 </td> <td style="text-align:right;"> -0.2564912 </td> <td style="text-align:right;"> 0.0635228 </td> <td style="text-align:right;"> 0.0816377 </td> <td style="text-align:right;"> 0.0267691 </td> <td style="text-align:right;"> -0.0233285 </td> <td style="text-align:right;"> 0.0768667 </td> <td style="text-align:right;"> 0.0255605 </td> </tr> <tr> <td style="text-align:left;"> total protein </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> -0.0422347 </td> <td style="text-align:right;"> -0.0623878 </td> <td style="text-align:right;"> -0.0220816 </td> <td style="text-align:right;"> 0.0102824 </td> <td style="text-align:right;"> -0.0355909 </td> <td style="text-align:right;"> -0.0619127 </td> <td style="text-align:right;"> -0.0092692 </td> <td style="text-align:right;"> 0.0134297 </td> <td style="text-align:right;"> 0.0092660 </td> <td style="text-align:right;"> -0.0008158 </td> <td style="text-align:right;"> 0.0193478 </td> <td style="text-align:right;"> 0.0051439 </td> </tr> <tr> <td style="text-align:left;"> total water intake </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Indirect Calorimetry </td> <td style="text-align:left;"> Metabolism </td> <td style="text-align:right;"> -0.1457383 </td> <td style="text-align:right;"> -0.2373165 </td> <td style="text-align:right;"> -0.0541601 </td> <td style="text-align:right;"> 0.0467244 </td> <td style="text-align:right;"> -0.2097443 </td> <td style="text-align:right;"> -0.2681948 </td> <td style="text-align:right;"> -0.1512937 </td> <td style="text-align:right;"> 0.0298223 </td> <td style="text-align:right;"> -0.0654284 </td> <td style="text-align:right;"> -0.1374220 </td> <td style="text-align:right;"> 0.0065653 </td> <td style="text-align:right;"> 0.0367321 </td> </tr> <tr> <td style="text-align:left;"> triglycerides </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> -0.0320020 </td> <td style="text-align:right;"> -0.1233659 </td> <td style="text-align:right;"> 0.0593619 </td> <td style="text-align:right;"> 0.0466151 </td> <td style="text-align:right;"> 0.3268957 </td> <td style="text-align:right;"> 0.2087111 </td> <td style="text-align:right;"> 0.4450803 </td> <td style="text-align:right;"> 0.0602994 </td> <td style="text-align:right;"> 0.3473552 </td> <td style="text-align:right;"> 0.2592006 </td> <td style="text-align:right;"> 0.4355098 </td> <td style="text-align:right;"> 0.0449777 </td> </tr> <tr> <td style="text-align:left;"> urea (blood urea nitrogen - bun) </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> -0.1405306 </td> <td style="text-align:right;"> -0.2664120 </td> <td style="text-align:right;"> -0.0146491 </td> <td style="text-align:right;"> 0.0642264 </td> <td style="text-align:right;"> -0.0950040 </td> <td style="text-align:right;"> -0.2507897 </td> <td style="text-align:right;"> 0.0607817 </td> <td style="text-align:right;"> 0.0794840 </td> <td style="text-align:right;"> 0.0403162 </td> <td style="text-align:right;"> 0.0051883 </td> <td style="text-align:right;"> 0.0754441 </td> <td style="text-align:right;"> 0.0179227 </td> </tr> <tr> <td style="text-align:left;"> uric acid </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Clinical Chemistry </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:right;"> 0.0367062 </td> <td style="text-align:right;"> -0.0660619 </td> <td style="text-align:right;"> 0.1394744 </td> <td style="text-align:right;"> 0.0524337 </td> <td style="text-align:right;"> 0.3626957 </td> <td style="text-align:right;"> 0.0914512 </td> <td style="text-align:right;"> 0.6339402 </td> <td style="text-align:right;"> 0.1383926 </td> <td style="text-align:right;"> 0.4472349 </td> <td style="text-align:right;"> -0.0801891 </td> <td style="text-align:right;"> 0.9746588 </td> <td style="text-align:right;"> 0.2690988 </td> </tr> <tr> <td style="text-align:left;"> white blood cell count </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:right;"> -0.0907957 </td> <td style="text-align:right;"> -0.1703063 </td> <td style="text-align:right;"> -0.0112852 </td> <td style="text-align:right;"> 0.0405673 </td> <td style="text-align:right;"> 0.1168446 </td> <td style="text-align:right;"> -0.0023934 </td> <td style="text-align:right;"> 0.2360826 </td> <td style="text-align:right;"> 0.0608368 </td> <td style="text-align:right;"> 0.1978876 </td> <td style="text-align:right;"> 0.1368305 </td> <td style="text-align:right;"> 0.2589447 </td> <td style="text-align:right;"> 0.0311521 </td> </tr> <tr> <td style="text-align:left;"> whole arena average speed </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> -0.0156634 </td> <td style="text-align:right;"> -0.0857564 </td> <td style="text-align:right;"> 0.0544296 </td> <td style="text-align:right;"> 0.0357624 </td> <td style="text-align:right;"> -0.1140149 </td> <td style="text-align:right;"> -0.1840029 </td> <td style="text-align:right;"> -0.0440269 </td> <td style="text-align:right;"> 0.0357088 </td> <td style="text-align:right;"> -0.0997437 </td> <td style="text-align:right;"> -0.1519566 </td> <td style="text-align:right;"> -0.0475307 </td> <td style="text-align:right;"> 0.0266397 </td> </tr> <tr> <td style="text-align:left;"> whole arena resting time </td> <td style="text-align:right;"> 1 </td> <td style="text-align:left;"> Open Field </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:right;"> -0.0531307 </td> <td style="text-align:right;"> -0.1011672 </td> <td style="text-align:right;"> -0.0050941 </td> <td style="text-align:right;"> 0.0245089 </td> <td style="text-align:right;"> -0.0593672 </td> <td style="text-align:right;"> -0.1076067 </td> <td style="text-align:right;"> -0.0111276 </td> <td style="text-align:right;"> 0.0246125 </td> <td style="text-align:right;"> 0.0045878 </td> <td style="text-align:right;"> -0.0513396 </td> <td style="text-align:right;"> 0.0605152 </td> <td style="text-align:right;"> 0.0285349 </td> </tr> </tbody> </table> </div> <pre class="r"><code># trait_meta_results <- write.csv(metacombo, file = # 'export/trait_meta_results.csv') #Felix 7/2/2020: I think this can be # deleted for publication!</code></pre> </div> </div> <div id="second-order-meta-analysis-for-functional-groups" class="section level2"> <h2>3. Second-order meta-analysis for functional groups</h2> <p>(Section H in Figure 3 in main article)</p> <div id="performing-meta-analyses-3-for-each-of-the-9-grouping-terms-lncvr-lnvr-lnrr" class="section level3"> <h3>Performing meta-analyses (3 for each of the 9 grouping terms: lnCVR, lnVR, lnRR)</h3> <div id="preparation-of-data" class="section level4"> <h4>Preparation of data</h4> <p>Nesting, calculating the number of parameters within each grouping term, and running the meta-analyses</p> <pre class="r"><code>metacombo_final <- metacombo %>% group_by(GroupingTerm) %>% nest() # **calculate number of parameters per grouping term metacombo_final <- metacombo_final %>% mutate(para_per_GroupingTerm = map_dbl(data, nrow)) # For all grouping terms metacombo_final_all <- metacombo %>% nest(data = everything()) # **Final fixed effects meta-analyses within grouping terms, with SE of the # estimate overall1 <- metacombo_final %>% mutate(model_lnCVR = map(data, ~metafor::rma.uni(yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F)), model_lnVR = map(data, ~metafor::rma.uni(yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F)), model_lnRR = map(data, ~metafor::rma.uni(yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) # **Final fixed effects meta-analyses ACROSS grouping terms, with SE of the # estimate overall_all1 <- metacombo_final_all %>% mutate(model_lnCVR = map(data, ~metafor::rma.uni(yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F)), model_lnVR = map(data, ~metafor::rma.uni(yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F)), model_lnRR = map(data, ~metafor::rma.uni(yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F)))</code></pre> </div> </div> <div id="re-structuring-the-data-for-each-grouping-term" class="section level3"> <h3>Re-structuring the data for each grouping term</h3> <p>We here delete unused variables, and select the respective effect sizes. Please note - the referencing of the cells does NOT depend on previous ordering of the data. This would only be affected if the output structure from metafor::rma.uni changes.</p> <pre class="r"><code>Behaviour <- overall1 %>% filter(., GroupingTerm == "Behaviour") %>% mutate(lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se, lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se, lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se) %>% select(., GroupingTerm, lnCVR:lnRR_se) Immunology <- overall1 %>% filter(., GroupingTerm == "Immunology") %>% mutate(lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se, lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se, lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se) %>% select(., GroupingTerm, lnCVR:lnRR_se) Hematology <- overall1 %>% filter(., GroupingTerm == "Hematology") %>% mutate(lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se, lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se, lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se) %>% select(., GroupingTerm, lnCVR:lnRR_se) Hearing <- overall1 %>% filter(., GroupingTerm == "Hearing") %>% mutate(lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se, lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se, lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se) %>% select(., GroupingTerm, lnCVR:lnRR_se) Physiology <- overall1 %>% filter(., GroupingTerm == "Physiology") %>% mutate(lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se, lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se, lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se) %>% select(., GroupingTerm, lnCVR:lnRR_se) Metabolism <- overall1 %>% filter(., GroupingTerm == "Metabolism") %>% mutate(lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se, lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se, lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se) %>% select(., GroupingTerm, lnCVR:lnRR_se) Morphology <- overall1 %>% filter(., GroupingTerm == "Morphology") %>% mutate(lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se, lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se, lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se) %>% select(., GroupingTerm, lnCVR:lnRR_se) Heart <- overall1 %>% filter(., GroupingTerm == "Heart") %>% mutate(lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se, lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se, lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se) %>% select(., GroupingTerm, lnCVR:lnRR_se) Eye <- overall1 %>% filter(., GroupingTerm == "Eye") %>% mutate(lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se, lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se, lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se) %>% select(., GroupingTerm, lnCVR:lnRR_se) All <- overall_all1 %>% mutate(lnCVR = .[[2]][[1]]$b, lnCVR_lower = .[[2]][[1]]$ci.lb, lnCVR_upper = .[[2]][[1]]$ci.ub, lnCVR_se = .[[2]][[1]]$se, lnVR = .[[3]][[1]]$b, lnVR_lower = .[[3]][[1]]$ci.lb, lnVR_upper = .[[3]][[1]]$ci.ub, lnVR_se = .[[3]][[1]]$se, lnRR = .[[4]][[1]]$b, lnRR_lower = .[[4]][[1]]$ci.lb, lnRR_upper = .[[4]][[1]]$ci.ub, lnRR_se = .[[4]][[1]]$se) %>% select(., lnCVR:lnRR_se) All <- All %>% mutate(GroupingTerm = "All") overall2 <- bind_rows(Behaviour, Morphology, Metabolism, Physiology, Immunology, Hematology, Heart, Hearing, Eye, All)</code></pre> </div> </div> </div> <div id="visualisation" class="section level1"> <h1>Visualisation</h1> <div id="figure-4" class="section level2"> <h2>Figure 4</h2> <div id="preparation-for-plots-count-data-based-on-first-order-metamanalysis-results" class="section level4"> <h4>Preparation for plots: Count data, based on First-order metamanalysis results</h4> <p>This includes all separate eligible traits. Re-ordering of grouping terms</p> <pre class="r"><code>meta_clean$GroupingTerm <- factor(meta_clean$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye")) meta_clean$GroupingTerm <- factor(meta_clean$GroupingTerm, rev(levels(meta_clean$GroupingTerm))) # *Preparing data for all traits meta.plot2.all <- meta_clean %>% select(lnCVR, lnVR, lnRR, GroupingTerm) %>% arrange(GroupingTerm) meta.plot2.all.b <- gather(meta.plot2.all, trait, value, c(lnCVR, lnRR)) # lnVR has been removed here and in the steps below, as this is only included in the supplemental figure meta.plot2.all.b$trait <- factor(meta.plot2.all.b$trait, levels = c("lnCVR", "lnRR")) meta.plot2.all.c <- meta.plot2.all.b %>% group_by_at(vars(trait, GroupingTerm)) %>% summarise(malebias = sum(value > 0), femalebias = sum(value <= 0), total = malebias + femalebias, malepercent = malebias * 100/total, femalepercent = femalebias * 100/total) meta.plot2.all.c$label <- "All traits" # Re-structure to create stacked bar plots meta.plot2.all.d <- as.data.frame(meta.plot2.all.c) meta.plot2.all.e <- gather(meta.plot2.all.d, key = sex, value = percent, malepercent:femalepercent, factor_key = TRUE) # Create new sample size variable meta.plot2.all.e$samplesize <- with(meta.plot2.all.e, ifelse(sex == "malepercent", malebias, femalebias)) # Add summary row ('All') and re-arrange rows into correct order for # plotting (warnings about coercing 'id' into character vector are ok) meta.plot2.all.f <- meta.plot2.all.e %>% group_by(trait, sex) %>% summarise(GroupingTerm = "All", malebias = sum(malebias), femalebias = sum(femalebias), total = malebias + femalebias, label = "All traits", samplesize = sum(samplesize)) %>% mutate(percent = ifelse(sex == "femalepercent", femalebias * 100/(malebias + femalebias), malebias * 100/(malebias + femalebias))) %>% bind_rows(meta.plot2.all.e, .) %>% mutate(rownumber = row_number()) %>% .[c(37, 1:9, 39, 10:18, 38, 19:27, 40, 28:36), ] # line references in previous code line corresponding to: #'lnCVR(male(All)), lnCVR(male('single grouping terms'), lnRR(male(All)), lnRR(male('single grouping terms')), # lnCVR(female(All)), lnCVR(female('single grouping terms'), # lnRR(female(All)), lnRR(female('single grouping terms'))' meta.plot2.all.f$GroupingTerm <- factor(meta.plot2.all.f$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) meta.plot2.all.f$GroupingTerm <- factor(meta.plot2.all.f$GroupingTerm, rev(levels(meta.plot2.all.f$GroupingTerm))) malebias_Fig2_alltraits <- ggplot(meta.plot2.all.f) + aes(x = GroupingTerm, y = percent, fill = sex) + geom_col() + geom_hline(yintercept = 50, linetype = "dashed", color = "gray40") + geom_text(data = subset(meta.plot2.all.f, samplesize != 0), aes(label = samplesize), position = position_stack(vjust = 0.5), color = "white", size = 3.5) + facet_grid(cols = vars(trait), rows = vars(label), labeller = label_wrap_gen(width = 18), scales = "free", space = "free") + scale_fill_brewer(palette = "Set2") + theme_bw(base_size = 18) + theme(strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_text(size = 12), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.position = "none", axis.title.x = element_blank(), axis.title.y = element_blank()) + coord_flip() # malebias_Fig2_alltraits #(panel A in Figure 4 in ms)</code></pre> </div> <div id="overall-results-of-second-order-meta-analysis-figure-4-panel-b" class="section level3"> <h3>Overall results of second order meta-analysis (Figure 4, Panel B)</h3> <div id="re-structure-data-for-plotting" class="section level4"> <h4>Re-structure data for plotting</h4> <p>Data are re-structured, and grouping terms are being re-ordered</p> <pre class="r"><code>overall3 <- gather(overall2, parameter, value, c(lnCVR, lnRR), factor_key = TRUE) lnCVR.ci <- overall3 %>% filter(parameter == "lnCVR") %>% mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper) lnVR.ci <- overall3 %>% filter(parameter == "lnVR") %>% mutate(ci.low = lnVR_lower, ci.high = lnVR_upper) lnRR.ci <- overall3 %>% filter(parameter == "lnRR") %>% mutate(ci.low = lnRR_lower, ci.high = lnRR_upper) overall4 <- bind_rows(lnCVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) # Re-order grouping terms overall4$GroupingTerm <- factor(overall4$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) overall4$GroupingTerm <- factor(overall4$GroupingTerm, rev(levels(overall4$GroupingTerm))) overall4$label <- "All traits" kable(cbind(overall4, overall4)) %>% kable_styling() %>% scroll_box(width = "100%", height = "200px")</code></pre> <div style="border: 1px solid #ddd; padding: 0px; overflow-y: scroll; height:200px; overflow-x: scroll; width:100%; "> <table class="table" style="margin-left: auto; margin-right: auto;"> <thead> <tr> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> GroupingTerm </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> parameter </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> value </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> ci.low </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> ci.high </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> label </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> GroupingTerm1 </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> parameter1 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> value1 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> ci.low1 </th> <th style="text-align:right;position: sticky; top:0; background-color: #FFFFFF;"> ci.high1 </th> <th style="text-align:left;position: sticky; top:0; background-color: #FFFFFF;"> label1 </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Behaviour </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> -0.0035049 </td> <td style="text-align:right;"> -0.0240688 </td> <td style="text-align:right;"> 0.0170591 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> -0.0035049 </td> <td style="text-align:right;"> -0.0240688 </td> <td style="text-align:right;"> 0.0170591 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Morphology </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> 0.0774453 </td> <td style="text-align:right;"> 0.0414171 </td> <td style="text-align:right;"> 0.1134734 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> 0.0774453 </td> <td style="text-align:right;"> 0.0414171 </td> <td style="text-align:right;"> 0.1134734 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Metabolism </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> -0.0430831 </td> <td style="text-align:right;"> -0.1125945 </td> <td style="text-align:right;"> 0.0264283 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Metabolism </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> -0.0430831 </td> <td style="text-align:right;"> -0.1125945 </td> <td style="text-align:right;"> 0.0264283 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Physiology </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> 0.0126792 </td> <td style="text-align:right;"> -0.0140094 </td> <td style="text-align:right;"> 0.0393678 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> 0.0126792 </td> <td style="text-align:right;"> -0.0140094 </td> <td style="text-align:right;"> 0.0393678 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Immunology </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> -0.0681817 </td> <td style="text-align:right;"> -0.0980135 </td> <td style="text-align:right;"> -0.0383499 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> -0.0681817 </td> <td style="text-align:right;"> -0.0980135 </td> <td style="text-align:right;"> -0.0383499 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> 0.0217865 </td> <td style="text-align:right;"> -0.0165045 </td> <td style="text-align:right;"> 0.0600776 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> 0.0217865 </td> <td style="text-align:right;"> -0.0165045 </td> <td style="text-align:right;"> 0.0600776 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Heart </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> 0.0183839 </td> <td style="text-align:right;"> -0.0128375 </td> <td style="text-align:right;"> 0.0496053 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Heart </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> 0.0183839 </td> <td style="text-align:right;"> -0.0128375 </td> <td style="text-align:right;"> 0.0496053 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Hearing </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> 0.0157302 </td> <td style="text-align:right;"> -0.0111999 </td> <td style="text-align:right;"> 0.0426603 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Hearing </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> 0.0157302 </td> <td style="text-align:right;"> -0.0111999 </td> <td style="text-align:right;"> 0.0426603 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Eye </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> -0.0817932 </td> <td style="text-align:right;"> -0.1476821 </td> <td style="text-align:right;"> -0.0159043 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Eye </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> -0.0817932 </td> <td style="text-align:right;"> -0.1476821 </td> <td style="text-align:right;"> -0.0159043 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> All </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> 0.0046553 </td> <td style="text-align:right;"> -0.0086242 </td> <td style="text-align:right;"> 0.0179348 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> All </td> <td style="text-align:left;"> lnCVR </td> <td style="text-align:right;"> 0.0046553 </td> <td style="text-align:right;"> -0.0086242 </td> <td style="text-align:right;"> 0.0179348 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Behaviour </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> -0.0199206 </td> <td style="text-align:right;"> -0.0634388 </td> <td style="text-align:right;"> 0.0235976 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Behaviour </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> -0.0199206 </td> <td style="text-align:right;"> -0.0634388 </td> <td style="text-align:right;"> 0.0235976 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Morphology </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> 0.0678160 </td> <td style="text-align:right;"> 0.0072225 </td> <td style="text-align:right;"> 0.1284095 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Morphology </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> 0.0678160 </td> <td style="text-align:right;"> 0.0072225 </td> <td style="text-align:right;"> 0.1284095 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Metabolism </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> 0.1422577 </td> <td style="text-align:right;"> 0.0364352 </td> <td style="text-align:right;"> 0.2480801 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Metabolism </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> 0.1422577 </td> <td style="text-align:right;"> 0.0364352 </td> <td style="text-align:right;"> 0.2480801 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Physiology </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> 0.0163695 </td> <td style="text-align:right;"> -0.0443364 </td> <td style="text-align:right;"> 0.0770753 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Physiology </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> 0.0163695 </td> <td style="text-align:right;"> -0.0443364 </td> <td style="text-align:right;"> 0.0770753 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Immunology </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> -0.0574840 </td> <td style="text-align:right;"> -0.1074213 </td> <td style="text-align:right;"> -0.0075466 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Immunology </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> -0.0574840 </td> <td style="text-align:right;"> -0.1074213 </td> <td style="text-align:right;"> -0.0075466 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> 0.0388537 </td> <td style="text-align:right;"> -0.0024274 </td> <td style="text-align:right;"> 0.0801348 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Hematology </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> 0.0388537 </td> <td style="text-align:right;"> -0.0024274 </td> <td style="text-align:right;"> 0.0801348 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Heart </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> -0.0048933 </td> <td style="text-align:right;"> -0.0324240 </td> <td style="text-align:right;"> 0.0226374 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Heart </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> -0.0048933 </td> <td style="text-align:right;"> -0.0324240 </td> <td style="text-align:right;"> 0.0226374 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Hearing </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> -0.0132366 </td> <td style="text-align:right;"> -0.0335982 </td> <td style="text-align:right;"> 0.0071251 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Hearing </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> -0.0132366 </td> <td style="text-align:right;"> -0.0335982 </td> <td style="text-align:right;"> 0.0071251 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> Eye </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> 0.0091186 </td> <td style="text-align:right;"> 0.0012071 </td> <td style="text-align:right;"> 0.0170302 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> Eye </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> 0.0091186 </td> <td style="text-align:right;"> 0.0012071 </td> <td style="text-align:right;"> 0.0170302 </td> <td style="text-align:left;"> All traits </td> </tr> <tr> <td style="text-align:left;"> All </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> 0.0124332 </td> <td style="text-align:right;"> -0.0061474 </td> <td style="text-align:right;"> 0.0310138 </td> <td style="text-align:left;"> All traits </td> <td style="text-align:left;"> All </td> <td style="text-align:left;"> lnRR </td> <td style="text-align:right;"> 0.0124332 </td> <td style="text-align:right;"> -0.0061474 </td> <td style="text-align:right;"> 0.0310138 </td> <td style="text-align:left;"> All traits </td> </tr> </tbody> </table> </div> <pre class="r"><code>Metameta_Fig3_alltraits <- overall4 %>% ggplot(aes(y = GroupingTerm, x = value)) + geom_errorbarh(aes(xmin = ci.low, xmax = ci.high), height = 0.1, show.legend = FALSE) + geom_point(aes(shape = parameter), fill = "black", color = "black", size = 2.2, show.legend = FALSE) + scale_x_continuous(limits = c(-0.24, 0.25), breaks = c(-0.2, -0.1, 0, 0.1, 0.2), name = "Effect size") + geom_vline(xintercept = 0, color = "black", linetype = "dashed") + facet_grid(cols = vars(parameter), rows = vars(label), labeller = label_wrap_gen(width = 23), scales = "free", space = "free") + theme_bw() + theme(strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_text(size = 12), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.title = element_blank(), axis.title.x = element_text(hjust = 0.5, size = 14), axis.title.y = element_blank()) # Metameta_Fig3_alltraits</code></pre> </div> </div> <div id="fig-4-sz-still-to-do" class="section level3"> <h3>Fig 4 # SZ STILL TO DO</h3> <p>Join the different parts and #TO DO!! add M / F symbols in Metameta_Fig3_alltraits</p> <pre class="r"><code># Test male <- readPNG(system.file('img', 'male')) test <- # Metameta_Fig3_alltraits # library(png)</code></pre> </div> <div id="figure-4-1" class="section level3"> <h3>Figure 4</h3> <p>Panel A shows the numbers of traits across functional groups that are either male-biased (blue-green) or female-biased (orange-red), as calculated in Step D (figure 3). Panel B shows effect sizes and 95% CI from separate meta-analysis for each functional group (step H in Figure 3). Both panels represent results evaluated across all traits (Phase 3, Figure 3). Traits that are male biased is shown in blue, whereas female bias data is represented in orange.</p> <pre class="r"><code>Fig4 <- ggarrange(malebias_Fig2_alltraits, Metameta_Fig3_alltraits, nrow = 2, align = "v", heights = c(1, 1), labels = c("A", "B")) Fig4</code></pre> <p><img src="data:image/png;base64,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" width="672" /></p> </div> </div> <div id="figure-5" class="section level2"> <h2>Figure 5</h2> <div id="preparing-data-for-traits-with-ci-not-overlapping-0" class="section level4"> <h4>Preparing data for traits with CI not overlapping 0</h4> <p>To further investigate sex bias in this dataset, and in particular if the extent of sex bias differs between traits, we investigate the magnitude of male- and female bias in significantly different traits on (both for means and variability)</p> <p>To do this, we select only traits that have CIs that do not overlap with zero. The code below creates Figure 5A.</p> <pre class="r"><code>meta.plot2.sig <- meta_clean %>% mutate( lnCVRsig = ifelse(lnCVR_lower * lnCVR_upper > 0, 1, 0), lnVRsig = ifelse(lnVR_lower * lnVR_upper > 0, 1, 0), lnRRsig = ifelse(lnRR_lower * lnRR_upper > 0, 1, 0) ) meta.plot2.sig.b <- meta.plot2.sig[, c("lnCVR", "lnRR", "lnCVRsig", "lnVRsig", "lnRRsig", "GroupingTerm")] meta.plot2.sig.c <- gather(meta.plot2.sig.b, trait, value, lnCVR:lnRR) meta.plot2.sig.c$sig <- "placeholder" meta.plot2.sig.c$trait <- factor(meta.plot2.sig.c$trait, levels = c("lnCVR", "lnRR")) meta.plot2.sig.c$sig <- ifelse(meta.plot2.sig.c$trait == "lnCVR", meta.plot2.sig.c$lnCVRsig, ifelse(meta.plot2.sig.c$trait == "lnVR", meta.plot2.sig.c$lnVRsig, meta.plot2.sig.c$lnRRsig) ) # Choosing sex biased ln-ratios significantly larger than 0 meta.plot2.sig.malebias <- meta.plot2.sig.c %>% group_by_at(vars(trait, GroupingTerm)) %>% filter(sig == 1) %>% summarise(male_sig = sum(value > 0), female_sig = sum(value < 0), total = male_sig + female_sig) meta.plot2.sig.malebias <- ungroup(meta.plot2.sig.malebias) %>% add_row(trait = "lnCVR", GroupingTerm = "Hearing", male_sig = 0, female_sig = 0, .before = 4) %>% # add "Hearing" for lnCVR (not filtered as only zeros) mutate(malepercent = male_sig * 100 / total, femalepercent = female_sig * 100 / total) meta.plot2.sig.malebias$label <- "CI not overlapping zero" # Re-structure to create stacked bar plots meta.plot2.sig.bothsexes <- as.data.frame(meta.plot2.sig.malebias) meta.plot2.sig.bothsexes.b <- gather(meta.plot2.sig.bothsexes, key = sex, value = percent, malepercent:femalepercent, factor_key = TRUE) # create new sample size variable meta.plot2.sig.bothsexes.b$samplesize <- with(meta.plot2.sig.bothsexes.b, ifelse(sex == "malepercent", male_sig, female_sig)) # Add summary row ('All') and re-arrange rows into correct order for plotting meta.plot2.sig.bothsexes.c <- meta.plot2.sig.bothsexes.b %>% group_by(trait, sex) %>% summarise(GroupingTerm = "All", male_sig = sum(male_sig), female_sig = sum(female_sig), total = male_sig + female_sig, label = "CI not overlapping zero", samplesize = sum(samplesize)) %>% mutate(percent = ifelse(sex == "femalepercent", female_sig*100/(male_sig+female_sig), male_sig*100/(male_sig+female_sig))) %>% bind_rows(meta.plot2.sig.bothsexes.b, .) %>% mutate(rownumber = row_number()) %>% .[c(37, 1:9, 39, 10:18, 38, 19:27, 40, 28:36), ] #line references in previous code line corresponding to: #'lnCVR(male(All)), lnCVR(male('single grouping terms'), lnRR(male(All)), lnRR(male('single grouping terms')), #lnCVR(female(All)), lnCVR(female('single grouping terms'), lnRR(female(All)), lnRR(female('single grouping terms'))' meta.plot2.sig.bothsexes.c$GroupingTerm <- factor(meta.plot2.sig.bothsexes.c$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) meta.plot2.sig.bothsexes.c$GroupingTerm <- factor(meta.plot2.sig.bothsexes.c$GroupingTerm, rev(levels(meta.plot2.sig.bothsexes.c$GroupingTerm))) # Plot Fig2 all significant results (CI not overlapping zero) # Several grouping terms are added post-hoc (with no data to display): no significant lnCVR for 'Hearing' in either sex; no sig. male-biased lnCVR for 'Immunology' and 'Eye, and no significant female-biased lnRR for 'Eye'. malebias_Fig2_sigtraits <- ggplot(meta.plot2.sig.bothsexes.c) + aes(x = GroupingTerm, y = percent, fill = sex) + geom_col() + geom_hline(yintercept = 50, linetype = "dashed", color = "gray40") + geom_text( data = subset(meta.plot2.sig.bothsexes.c, samplesize != 0), aes(label = samplesize), position = position_stack(vjust = .5), color = "white", size = 3.5 ) + facet_grid( cols = vars(trait), rows = vars(label), labeller = label_wrap_gen(width = 18), scales = "free", space = "free" ) + scale_fill_brewer(palette = "Set2") + theme_bw(base_size = 18) + theme( strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_text(size = 12), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.position = "none", axis.title.x = element_blank(), axis.title.y = element_blank() ) + coord_flip()</code></pre> </div> <div id="preparation-for-plots-on-significant-sex-bias-second-order-meta-analysis-results" class="section level3"> <h3>Preparation for Plots on significant sex-bias (Second-order meta analysis results)</h3> <div id="figure-5-b---traits-with-ci-not-overlapping-0" class="section level4"> <h4>Figure 5 B - traits with CI not overlapping 0</h4> <p>Prepare data create column with 1= different from zero, 0= zero included in CI #### Male-biased (significant) traits</p> <pre class="r"><code>meta.male.plot3.sig <- metacombo %>% mutate(sigCVR = ifelse(lnCVR_lower > 0, 1, 0), sigVR = ifelse(lnVR_lower > 0, 1, 0), sigRR = ifelse(lnRR_lower > 0, 1, 0)) # Significant subset for lnCVR metacombo_male.plot3.CVR <- meta.male.plot3.sig %>% filter(sigCVR == 1) %>% group_by(GroupingTerm) %>% nest() metacombo_male.plot3.CVR.all <- meta.male.plot3.sig %>% filter(sigCVR == 1) %>% nest(data = everything()) #Felix added 'data = everything()' on 4/2/2020 # Significant subset for lnVR metacombo_male.plot3.VR <- meta.male.plot3.sig %>% filter(sigVR == 1) %>% group_by(GroupingTerm) %>% nest() metacombo_male.plot3.VR.all <- meta.male.plot3.sig %>% filter(sigVR == 1) %>% nest(data = everything()) # Significant subset for lnRR metacombo_male.plot3.RR <- meta.male.plot3.sig %>% filter(sigRR == 1) %>% group_by(GroupingTerm) %>% nest() metacombo_male.plot3.RR.all <- meta.male.plot3.sig %>% filter(sigRR == 1) %>% nest(data = everything()) # **Final fixed effects meta-analyses within grouping terms, with SE of the # estimate plot3.male.meta.CVR <- metacombo_male.plot3.CVR %>% mutate(model_lnCVR = map(data, ~metafor::rma.uni(yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.male.meta.VR <- metacombo_male.plot3.VR %>% mutate(model_lnVR = map(data, ~metafor::rma.uni(yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.male.meta.RR <- metacombo_male.plot3.RR %>% mutate(model_lnRR = map(data, ~metafor::rma.uni(yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) # Across all grouping terms # plot3.male.meta.CVR.all <- metacombo_male.plot3.CVR.all %>% mutate(model_lnCVR = map(data, ~metafor::rma.uni(yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.male.meta.CVR.all <- plot3.male.meta.CVR.all %>% mutate(GroupingTerm = "All") plot3.male.meta.VR.all <- metacombo_male.plot3.VR.all %>% mutate(model_lnVR = map(data, ~metafor::rma.uni(yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.male.meta.VR.all <- plot3.male.meta.VR.all %>% mutate(GroupingTerm = "All") plot3.male.meta.RR.all <- metacombo_male.plot3.RR.all %>% mutate(model_lnRR = map(data, ~metafor::rma.uni(yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.male.meta.RR.all <- plot3.male.meta.RR.all %>% mutate(GroupingTerm = "All") # Combine with separate grouping term results plot3.male.meta.CVR <- bind_rows(plot3.male.meta.CVR, plot3.male.meta.CVR.all) plot3.male.meta.VR <- bind_rows(plot3.male.meta.VR, plot3.male.meta.VR.all) plot3.male.meta.RR <- bind_rows(plot3.male.meta.RR, plot3.male.meta.RR.all) # **Re-structure data for each grouping term; delete un-used variables plot3.male.meta.CVR.b <- as.data.frame(plot3.male.meta.CVR %>% group_by(GroupingTerm) %>% mutate(lnCVR = map_dbl(model_lnCVR, pluck(2)), lnCVR_lower = map_dbl(model_lnCVR, pluck(6)), lnCVR_upper = map_dbl(model_lnCVR, pluck(7)), lnCVR_se = map_dbl(model_lnCVR, pluck(3))))[, c(1, 4:7)] add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.male.meta.CVR.b)) plot3.male.meta.CVR.b <- bind_rows(plot3.male.meta.CVR.b, add.row.hearing) plot3.male.meta.CVR.b <- plot3.male.meta.CVR.b[order(plot3.male.meta.CVR.b$GroupingTerm), ] plot3.male.meta.VR.b <- as.data.frame(plot3.male.meta.VR %>% group_by(GroupingTerm) %>% mutate(lnVR = map_dbl(model_lnVR, pluck(2)), lnVR_lower = map_dbl(model_lnVR, pluck(6)), lnVR_upper = map_dbl(model_lnVR, pluck(7)), lnVR_se = map_dbl(model_lnVR, pluck(3))))[, c(1, 4:7)] plot3.male.meta.VR.b <- plot3.male.meta.VR.b[order(plot3.male.meta.VR.b$GroupingTerm), ] plot3.male.meta.RR.b <- as.data.frame(plot3.male.meta.RR %>% group_by(GroupingTerm) %>% mutate(lnRR = map_dbl(model_lnRR, pluck(2)), lnRR_lower = map_dbl(model_lnRR, pluck(6)), lnRR_upper = map_dbl(model_lnRR, pluck(7)), lnRR_se = map_dbl(model_lnRR, pluck(3))))[, c(1, 4:7)] plot3.male.meta.RR.b <- plot3.male.meta.RR.b[order(plot3.male.meta.RR.b$GroupingTerm), ] overall.male.plot3 <- full_join(plot3.male.meta.CVR.b, plot3.male.meta.VR.b) overall.male.plot3 <- full_join(overall.male.plot3, plot3.male.meta.RR.b) overall.male.plot3$GroupingTerm <- factor(overall.male.plot3$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) overall.male.plot3$GroupingTerm <- factor(overall.male.plot3$GroupingTerm, rev(levels(overall.male.plot3$GroupingTerm))) overall.male.plot3$GroupingTerm <- factor(overall.male.plot3$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) overall.male.plot3$GroupingTerm <- factor(overall.male.plot3$GroupingTerm, rev(levels(overall.male.plot3$GroupingTerm))) # str(overall.male.plot3)</code></pre> <p>Restructure MALE data for plotting</p> <pre class="r"><code>overall3.male.sig <- gather(overall.male.plot3, parameter, value, c(lnCVR, lnRR), factor_key = TRUE) lnCVR.ci <- overall3.male.sig %>% filter(parameter == "lnCVR") %>% mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper) # lnVR.ci <- overall3.male.sig %>% filter(parameter == 'lnVR') %>% # mutate(ci.low = lnVR_lower, ci.high = lnVR_upper) lnRR.ci <- overall3.male.sig %>% filter(parameter == "lnRR") %>% mutate(ci.low = lnRR_lower, ci.high = lnRR_upper) overall4.male.sig <- bind_rows(lnCVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) overall4.male.sig$label <- "CI not overlapping zero"</code></pre> <p>Plot Fig 5B all significant results (CI not overlapping zero) for males. This is the right panel in Figure 5B.</p> <pre class="r"><code>Metameta_Fig3_male.sig <- overall4.male.sig %>% ggplot(aes(y = GroupingTerm, x = value)) + geom_errorbarh(aes(xmin = ci.low, xmax = ci.high), height = 0.1, show.legend = FALSE) + geom_point(aes(shape = parameter), fill = "mediumaquamarine", color = "mediumaquamarine", size = 2.2, show.legend = FALSE) + scale_x_continuous(limits = c(0, 0.4), breaks = c(0, 0.3), name = "Effect size") + geom_vline(xintercept = 0, color = "black", linetype = "dashed") + facet_grid(cols = vars(parameter), rows = vars(label), labeller = label_wrap_gen(width = 23), scales = "free", space = "free") + theme_bw() + theme(strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_text(size = 12), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.title = element_blank(), axis.title.x = element_blank(), axis.title.y = element_blank()) # Metameta_Fig3_male.sig</code></pre> </div> <div id="female-part-significant-traits" class="section level4"> <h4>Female part, significant traits</h4> <p>Female Fig5B sig</p> <p>Prepare data for traits with CI not overlapping 0 create column with 1= different from zero, 0= zero included in CI</p> <pre class="r"><code># Female-biased traits meta.female.plot3.sig <- metacombo %>% mutate(sigCVR = ifelse(lnCVR_upper < 0, 1, 0), sigVR = ifelse(lnVR_upper < 0, 1, 0), sigRR = ifelse(lnRR_upper < 0, 1, 0)) # Significant subset for lnCVR metacombo_female.plot3.CVR <- meta.female.plot3.sig %>% filter(sigCVR == 1) %>% group_by(GroupingTerm) %>% nest() metacombo_female.plot3.CVR.all <- meta.female.plot3.sig %>% filter(sigCVR == 1) %>% nest(data = everything()) # Significant subset for lnVR metacombo_female.plot3.VR <- meta.female.plot3.sig %>% filter(sigVR == 1) %>% group_by(GroupingTerm) %>% nest() metacombo_female.plot3.VR.all <- meta.female.plot3.sig %>% filter(sigVR == 1) %>% nest(data = everything()) # Significant subset for lnRR metacombo_female.plot3.RR <- meta.female.plot3.sig %>% filter(sigRR == 1) %>% group_by(GroupingTerm) %>% nest() # Felix added 7/2/2020: metacombo_female.plot3.RR[4,2][[1]] # [[1]]$lnRR_upper; #only two data points: -0.12377263 -0.01553462; should # probably be excluded?! metacombo_female.plot3.RR.all <- meta.female.plot3.sig %>% filter(sigRR == 1) %>% nest(data = everything()) # **Final fixed effects meta-analyses within grouping terms, with SE of the # estimate plot3.female.meta.CVR <- metacombo_female.plot3.CVR %>% mutate(model_lnCVR = map(data, ~metafor::rma.uni(yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.female.meta.VR <- metacombo_female.plot3.VR %>% mutate(model_lnVR = map(data, ~metafor::rma.uni(yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.female.meta.RR <- metacombo_female.plot3.RR %>% mutate(model_lnRR = map(data, ~metafor::rma.uni(yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) # Across all grouping terms # plot3.female.meta.CVR.all <- metacombo_female.plot3.CVR.all %>% mutate(model_lnCVR = map(data, ~metafor::rma.uni(yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.female.meta.CVR.all <- plot3.female.meta.CVR.all %>% mutate(GroupingTerm = "All") plot3.female.meta.VR.all <- metacombo_female.plot3.VR.all %>% mutate(model_lnVR = map(data, ~metafor::rma.uni(yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.female.meta.VR.all <- plot3.female.meta.VR.all %>% mutate(GroupingTerm = "All") plot3.female.meta.RR.all <- metacombo_female.plot3.RR.all %>% mutate(model_lnRR = map(data, ~metafor::rma.uni(yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.female.meta.RR.all <- plot3.female.meta.RR.all %>% mutate(GroupingTerm = "All") # Combine with separate grouping term results plot3.female.meta.CVR <- bind_rows(plot3.female.meta.CVR, plot3.female.meta.CVR.all) plot3.female.meta.VR <- bind_rows(plot3.female.meta.VR, plot3.female.meta.VR.all) plot3.female.meta.RR <- bind_rows(plot3.female.meta.RR, plot3.female.meta.RR.all) # **Re-structure data for each grouping term; delete un-used variables plot3.female.meta.CVR.b <- as.data.frame(plot3.female.meta.CVR %>% group_by(GroupingTerm) %>% mutate(lnCVR = map_dbl(model_lnCVR, pluck(2)), lnCVR_lower = map_dbl(model_lnCVR, pluck(6)), lnCVR_upper = map_dbl(model_lnCVR, pluck(7)), lnCVR_se = map_dbl(model_lnCVR, pluck(3))))[, c(1, 4:7)] add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.female.meta.CVR.b)) plot3.female.meta.CVR.b <- bind_rows(plot3.female.meta.CVR.b, add.row.hearing) plot3.female.meta.CVR.b <- plot3.female.meta.CVR.b[order(plot3.female.meta.CVR.b$GroupingTerm), ] plot3.female.meta.VR.b <- as.data.frame(plot3.female.meta.VR %>% group_by(GroupingTerm) %>% mutate(lnVR = map_dbl(model_lnVR, pluck(2)), lnVR_lower = map_dbl(model_lnVR, pluck(6)), lnVR_upper = map_dbl(model_lnVR, pluck(7)), lnVR_se = map_dbl(model_lnVR, pluck(3))))[, c(1, 4:7)] plot3.female.meta.VR.b <- plot3.female.meta.VR.b[order(plot3.female.meta.VR.b$GroupingTerm), ] plot3.female.meta.RR.b <- as.data.frame(plot3.female.meta.RR %>% group_by(GroupingTerm) %>% mutate(lnRR = map_dbl(model_lnRR, pluck(2)), lnRR_lower = map_dbl(model_lnRR, pluck(6)), lnRR_upper = map_dbl(model_lnRR, pluck(7)), lnRR_se = map_dbl(model_lnRR, pluck(3))))[, c(1, 4:7)] plot3.female.meta.RR.b <- plot3.female.meta.RR.b[order(plot3.female.meta.RR.b$GroupingTerm), ] overall.female.plot3 <- full_join(plot3.female.meta.CVR.b, plot3.female.meta.VR.b) overall.female.plot3 <- full_join(overall.female.plot3, plot3.female.meta.RR.b) overall.female.plot3$GroupingTerm <- factor(overall.female.plot3$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) overall.female.plot3$GroupingTerm <- factor(overall.female.plot3$GroupingTerm, rev(levels(overall.female.plot3$GroupingTerm)))</code></pre> <p>Re-structure data for plotting</p> <pre class="r"><code>overall3.female.sig <- gather(overall.female.plot3, parameter, value, c(lnCVR, lnRR), factor_key = TRUE) lnCVR.ci <- overall3.female.sig %>% filter(parameter == "lnCVR") %>% mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper) # lnVR.ci <- overall3.female.sig %>% filter(parameter == 'lnVR') %>% # mutate(ci.low = lnVR_lower, ci.high = lnVR_upper) lnRR.ci <- overall3.female.sig %>% filter(parameter == "lnRR") %>% mutate(ci.low = lnRR_lower, ci.high = lnRR_upper) overall4.female.sig <- bind_rows(lnCVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) # lnVR.ci, overall4.female.sig$label <- "CI not overlapping zero"</code></pre> <p>Plotting Fig5B all significant results (CI not overlapping zero, female )</p> <pre class="r"><code>Metameta_Fig3_female.sig <- overall4.female.sig %>% ggplot(aes(y = GroupingTerm, x = value)) + geom_errorbarh(aes( xmin = ci.low, xmax = ci.high ), height = 0.1, show.legend = FALSE ) + geom_point(aes(shape = parameter), fill = "salmon1", color = "salmon1", size = 2.2, show.legend = FALSE ) + scale_x_continuous( limits = c(-0.4, 0), breaks = c(-0.3, 0), name = "Effect size" ) + geom_vline( xintercept = 0, color = "black", linetype = "dashed" ) + facet_grid( cols = vars(parameter), # rows = vars(label), # labeller = label_wrap_gen(width = 23), scales = "free", space = "free" ) + theme_bw() + theme( strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_text(size = 12), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.title = element_blank(), axis.title.x = element_blank(), axis.title.y = element_blank() ) # Metameta_Fig3_female.sig #(Figure 5B left panel)</code></pre> </div> </div> </div> <div id="join-code-missing" class="section level2"> <h2>JOIN!!! CODE MISSING??</h2> <p>malebias_Fig2_sigtraits Metameta_Fig3_female.sig #(Figure 5B left panel) Metameta_Fig3_male.sig</p> <pre class="r"><code>Fig5B <- ggarrange(Metameta_Fig3_female.sig, Metameta_Fig3_male.sig, ncol = 2, nrow = 1, widths = c(1, 1.2), heights = c(1, 1)) Fig5 <- ggarrange(malebias_Fig2_sigtraits, Fig5B, ncol = 1, nrow = 2, widths = c(1, 1.1), heights = c(1.1, 1), labels = c("A", "B")) Fig5</code></pre> <p><img 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" width="672" /></p> </div> </div> <div id="supplemental-plots" class="section level1"> <h1>Supplemental Plots</h1> <div id="figure-s1" class="section level2"> <h2>Figure S1</h2> <div id="including-lnvr" class="section level3"> <h3>Including lnVR</h3> </div> <div id="count-data-including-lnvr-fig-s1-panel-a" class="section level3"> <h3>Count data, including lnVR (Fig S1 panel A)</h3> <pre class="r"><code># *Prepare data for all traits meta.plot2.all <- meta_clean %>% select(lnCVR, lnVR, lnRR, GroupingTerm) %>% arrange(GroupingTerm) meta.plot2.all.bS1 <- gather(meta.plot2.all, trait, value, c(lnCVR, lnVR, lnRR)) meta.plot2.all.bS1$trait <- factor(meta.plot2.all.bS1$trait, levels = c("lnCVR", "lnVR", "lnRR")) meta.plot2.all.cS1 <- meta.plot2.all.bS1 %>% group_by_at(vars(trait, GroupingTerm)) %>% summarise(malebias = sum(value > 0), femalebias = sum(value <= 0), total = malebias + femalebias, malepercent = malebias * 100/total, femalepercent = femalebias * 100/total) meta.plot2.all.cS1$label <- "All traits" # Re-structure to create stacked bar plots meta.plot2.all.dS1 <- as.data.frame(meta.plot2.all.cS1) meta.plot2.all.eS1 <- gather(meta.plot2.all.dS1, key = sex, value = percent, malepercent:femalepercent, factor_key = TRUE) # Create new sample size variable meta.plot2.all.eS1$samplesize <- with(meta.plot2.all.eS1, ifelse(sex == "malepercent", malebias, femalebias)) # Add summary row ('All') and re-arrange rows into correct order for # plotting (warnings about coercing 'id' into character vector are ok) meta.plot2.all.fS1 <- meta.plot2.all.eS1 %>% group_by(trait, sex) %>% summarise(GroupingTerm = "All", malebias = sum(malebias), femalebias = sum(femalebias), total = malebias + femalebias, label = "All traits", samplesize = sum(samplesize)) %>% mutate(percent = ifelse(sex == "femalepercent", femalebias * 100/(malebias + femalebias), malebias * 100/(malebias + femalebias))) %>% bind_rows(meta.plot2.all.eS1, .) %>% mutate(rownumber = row_number()) %>% .[c(55, 1:9, 57, 10:18, 59, 19:27, 56, 28:36, 58, 37:45, 60, 46:54), ] meta.plot2.all.fS1$GroupingTerm <- factor(meta.plot2.all.fS1$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) meta.plot2.all.fS1$GroupingTerm <- factor(meta.plot2.all.fS1$GroupingTerm, rev(levels(meta.plot2.all.fS1$GroupingTerm))) malebias_FigS1_alltraits <- ggplot(meta.plot2.all.fS1) + aes(x = GroupingTerm, y = percent, fill = sex) + geom_col() + geom_hline(yintercept = 50, linetype = "dashed", color = "gray40") + geom_text(data = subset(meta.plot2.all.fS1, samplesize != 0), aes(label = samplesize), position = position_stack(vjust = 0.5), color = "white", size = 3.5) + facet_grid(cols = vars(trait), rows = vars(label), labeller = label_wrap_gen(width = 18), scales = "free", space = "free") + scale_fill_brewer(palette = "Set2") + theme_bw(base_size = 18) + theme(strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_text(size = 12), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.position = "none", axis.title.x = element_blank(), axis.title.y = element_blank()) + coord_flip() # malebias_FigS1_alltraits #(panel A in Figure S1)</code></pre> </div> <div id="overall-results-of-second-order-meta-analysis-including-vr" class="section level3"> <h3>Overall results of second order meta analysis, INCLUDING VR</h3> <div id="re-structure-data-for-plotting-1" class="section level4"> <h4>Re-structure data for plotting</h4> <p>Restructure MALE data for plotting</p> <pre class="r"><code>overall3.male.sigS <- gather(overall.male.plot3, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE) lnCVR.ci <- overall3.male.sigS %>% filter(parameter == "lnCVR") %>% mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper) lnVR.ci <- overall3.male.sigS %>% filter(parameter == "lnVR") %>% mutate(ci.low = lnVR_lower, ci.high = lnVR_upper) lnRR.ci <- overall3.male.sigS %>% filter(parameter == "lnRR") %>% mutate(ci.low = lnRR_lower, ci.high = lnRR_upper) overall4.male.sigS <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) overall4.male.sigS$label <- "CI not overlapping zero" # Data are re-structured, and grouping terms are being re-ordered overall3S <- gather(overall2, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE) lnCVR.ci <- overall3S %>% filter(parameter == "lnCVR") %>% mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper) lnVR.ci <- overall3S %>% filter(parameter == "lnVR") %>% mutate(ci.low = lnVR_lower, ci.high = lnVR_upper) lnRR.ci <- overall3S %>% filter(parameter == "lnRR") %>% mutate(ci.low = lnRR_lower, ci.high = lnRR_upper) overall4S <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) # Re-order grouping terms overall4S$GroupingTerm <- factor(overall4S$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) overall4S$GroupingTerm <- factor(overall4S$GroupingTerm, rev(levels(overall4S$GroupingTerm))) overall4S$label <- "All traits"</code></pre> </div> <div id="preparation-for-plot-including-lnvr" class="section level4"> <h4>Preparation for plot, including lnVR</h4> <p>Preparation: Sub-Plot for Figure S1: all traits (S1 B)</p> <pre class="r"><code>Metameta_FigS1_alltraits <- overall4S %>% ggplot(aes(y = GroupingTerm, x = value)) + geom_errorbarh(aes(xmin = ci.low, xmax = ci.high), height = 0.1, show.legend = FALSE) + geom_point(aes(shape = parameter), fill = "black", color = "black", size = 2.2, show.legend = FALSE) + scale_x_continuous(limits = c(-0.24, 0.25), breaks = c(-0.2, -0.1, 0, 0.1, 0.2), name = "Effect size") + geom_vline(xintercept = 0, color = "black", linetype = "dashed") + facet_grid(cols = vars(parameter), rows = vars(label), labeller = label_wrap_gen(width = 23), scales = "free", space = "free") + theme_bw() + theme(strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_text(size = 12), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.title = element_blank(), axis.title.x = element_text(hjust = 0.5, size = 14), axis.title.y = element_blank()) # Metameta_FigS1_alltraits</code></pre> </div> </div> <div id="heterogeneity" class="section level3"> <h3>Heterogeneity</h3> <p>The analysis for heterogeneity follows the workflow of the above steps for the different meta-analyses. However, in the initial meta-analysis we extract sigma^2 and errors for mouse strains and centers (Institutions).</p> <pre class="r"><code># Create dataframe to store results results.allhetero.grouping <- as.data.frame(cbind(c(1:n), matrix(rep(0, n * 30), ncol = 30))) names(results.allhetero.grouping) <- c("id", "sigma2_strain.CVR", "sigma2_center.CVR", "sigma2_error.CVR", "s.nlevels.strain.CVR", "s.nlevels.center.CVR", "s.nlevels.error.CVR", "sigma2_strain.VR", "sigma2_center.VR", "sigma2_error.VR", "s.nlevels.strain.VR", "s.nlevels.center.VR", "s.nlevels.error.VR", "sigma2_strain.RR", "sigma2_center.RR", "sigma2_error.RR", "s.nlevels.strain.RR", "s.nlevels.center.RR", "s.nlevels.error.RR", "lnCVR", "lnCVR_lower", "lnCVR_upper", "lnCVR_se", "lnVR", "lnVR_lower", "lnVR_upper", "lnVR_se", "lnRR", "lnRR_lower", "lnRR_upper", "lnRR_se")</code></pre> <p>LOOP Parameters to extract from metafor (sigma2’s, s.nlevels)</p> <pre class="r"><code>for (t in 1:n) { tryCatch({ data_par_age <- data_subset_parameterid_individual_by_age(data, t, age_min = 0, age_center = 100) population_stats <- calculate_population_stats(data_par_age) results <- create_meta_analysis_effect_sizes(population_stats) # lnCVR, logaritm of the ratio of male and female coefficients of variance cvr. <- metafor::rma.mv(yi = effect_size_CVR, V = sample_variance_CVR, random = list(~1 | strain_name, ~1 | production_center, ~1 | err), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), data = results) results.allhetero.grouping[t, 2] <- cvr.$sigma2[1] results.allhetero.grouping[t, 3] <- cvr.$sigma2[2] results.allhetero.grouping[t, 4] <- cvr.$sigma2[3] results.allhetero.grouping[t, 5] <- cvr.$s.nlevels[1] results.allhetero.grouping[t, 6] <- cvr.$s.nlevels[2] results.allhetero.grouping[t, 7] <- cvr.$s.nlevels[3] results.allhetero.grouping[t, 20] <- cvr.$b results.allhetero.grouping[t, 21] <- cvr.$ci.lb results.allhetero.grouping[t, 22] <- cvr.$ci.ub results.allhetero.grouping[t, 23] <- cvr.$se # lnVR, male to female variability ratio (logarithm of male and female # standard deviations) vr. <- metafor::rma.mv(yi = effect_size_VR, V = sample_variance_VR, random = list(~1 | strain_name, ~1 | production_center, ~1 | err), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), data = results) results.allhetero.grouping[t, 8] <- vr.$sigma2[1] results.allhetero.grouping[t, 9] <- vr.$sigma2[2] results.allhetero.grouping[t, 10] <- vr.$sigma2[3] results.allhetero.grouping[t, 11] <- vr.$s.nlevels[1] results.allhetero.grouping[t, 12] <- vr.$s.nlevels[2] results.allhetero.grouping[t, 13] <- vr.$s.nlevels[3] results.allhetero.grouping[t, 24] <- vr.$b results.allhetero.grouping[t, 25] <- vr.$ci.lb results.allhetero.grouping[t, 26] <- vr.$ci.ub results.allhetero.grouping[t, 27] <- vr.$se # lnRR, response ratio (logarithm of male and female means) rr. <- metafor::rma.mv(yi = effect_size_RR, V = sample_variance_RR, random = list(~1 | strain_name, ~1 | production_center, ~1 | err), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), data = results) results.allhetero.grouping[t, 14] <- rr.$sigma2[1] results.allhetero.grouping[t, 15] <- rr.$sigma2[2] results.allhetero.grouping[t, 16] <- rr.$sigma2[3] results.allhetero.grouping[t, 17] <- rr.$s.nlevels[1] results.allhetero.grouping[t, 18] <- rr.$s.nlevels[2] results.allhetero.grouping[t, 19] <- rr.$s.nlevels[3] results.allhetero.grouping[t, 28] <- rr.$b results.allhetero.grouping[t, 29] <- rr.$ci.lb results.allhetero.grouping[t, 30] <- rr.$ci.ub results.allhetero.grouping[t, 31] <- rr.$se }, error = function(e) { cat("ERROR :", conditionMessage(e), "\n") }) }</code></pre> <pre><code>## ERROR : Optimizer (optim) did not achieve convergence (convergence = 10). ## ERROR : Optimizer (optim) did not achieve convergence (convergence = 10). ## ERROR : NA/NaN/Inf in 'y' ## ERROR : NA/NaN/Inf in 'y' ## ERROR : NA/NaN/Inf in 'y' ## ERROR : NA/NaN/Inf in 'y' ## ERROR : NA/NaN/Inf in 'y' ## ERROR : NA/NaN/Inf in 'y' ## ERROR : NA/NaN/Inf in 'y' ## ERROR : NA/NaN/Inf in 'y'</code></pre> <div id="exclude-traits-without-variation-between-mouse-strains-merge-datasets-felix-added-622020" class="section level4"> <h4>Exclude traits without variation between mouse strains; merge datasets #Felix added 6/2/2020</h4> <pre class="r"><code>results.allhetero.grouping2 <- results.allhetero.grouping[results.allhetero.grouping$s.nlevels.strain.VR != 0, ] # nrow(results.allhetero.grouping) #223 Felix 7/2/2020 added: not sure. Run # again and it was 232?!</code></pre> <p>Merge data sets containing metafor results with procedure etc. names</p> <pre class="r"><code># procedures <- read.csv(here('export', 'procedures.csv')) results.allhetero.grouping2$parameter_group <- data$parameter_group[match(results.allhetero.grouping2$id, data$id)] results.allhetero.grouping2$procedure <- data$procedure_name[match(results.allhetero.grouping2$id, data$id)] results.allhetero.grouping2$GroupingTerm <- procedures$GroupingTerm[match(results.allhetero.grouping2$procedure, procedures$procedure)] results.allhetero.grouping2$parameter_name <- data$parameter_name[match(results.allhetero.grouping2$id, data$id)]</code></pre> </div> <div id="correlated-parameters" class="section level4"> <h4>Correlated parameters</h4> <pre class="r"><code>metahetero1 <- results.allhetero.grouping2 # length(unique(metahetero1$procedure)) #19 # length(unique(metahetero1$GroupingTerm)) #9 # length(unique(metahetero1$parameter_group)) #152 # length(unique(metahetero1$parameter_name)) #223 # Count of number of parameter names (correlated sub-traits) in each parameter group (par_group_size) metahetero1b <- metahetero1 %>% group_by(parameter_group) %>% mutate(par_group_size = n_distinct(parameter_name)) metahetero1$par_group_size <- metahetero1b$par_group_size[match(metahetero1$parameter_group, metahetero1b$parameter_group)] # Create subsets with > 1 count (par_group_size > 1) metahetero1_sub <- subset(metahetero1, par_group_size > 1) # 92 observations # str(metahetero1_sub) # metahetero1_sub$sampleSize <- as.numeric(metahetero1_sub$sampleSize) #from previous analysis? don't think is used: : delete in final version # Nest data n_count. <- metahetero1_sub %>% group_by(parameter_group) %>% # mutate(raw_N = sum(sampleSize)) %>% #Felix added: don't think is necessary: delete in final version nest() # meta-analysis preparation model_count. <- n_count. %>% mutate( model_lnRR = map(data, ~ robu(.x$lnRR ~ 1, data = .x, studynum = .x$id, modelweights = c("CORR"), rho = 0.8, small = TRUE, var.eff.size = (.x$lnRR_se)^2 )), model_lnVR = map(data, ~ robu(.x$lnVR ~ 1, data = .x, studynum = .x$id, modelweights = c("CORR"), rho = 0.8, small = TRUE, var.eff.size = (.x$lnVR_se)^2 )), model_lnCVR = map(data, ~ robu(.x$lnCVR ~ 1, data = .x, studynum = .x$id, modelweights = c("CORR"), rho = 0.8, small = TRUE, var.eff.size = (.x$lnCVR_se)^2 )) ) # Robumeta object details: # str(model_count.$model_lnCVR[[1]]) ## *Perform meta-analyses on correlated sub-traits, using robumeta # Susi / FELIX: what's this below? # Shinichi: We think we want to use these for further analyses: # residual variance: as.numeric(robu_fit$mod_info$term1) (same as 'mod_info$tau.sq') # sample size: robu_fit$N ## **Extract and save parameter estimates # Felix: doesn't work , error message: #!!!!!!!!!!! ERROR!!!!!!!!!!!!!!!!!!!! #Error: Column `parameter_group` can't be modified because it's a grouping variable count_fun. <- function(mod_sub) { return(c(as.numeric(mod_sub$mod_info$term1), mod_sub$N)) } robusub_RR. <- model_count. %>% transmute(estimatelnRR = map(model_lnRR, count_fun.)) %>% #Felix 4/2/2020: deleted: 'parameter_group' (in brackets, after 'transmute') mutate(r = map(estimatelnRR, ~ data.frame(t(.)))) %>% unnest(r) %>% select(-estimatelnRR) %>% purrr::set_names(c("parameter_group", "var.RR", "N.RR")) robusub_CVR. <- model_count. %>% transmute(estimatelnCVR = map(model_lnCVR, count_fun.)) %>% mutate(r = map(estimatelnCVR, ~ data.frame(t(.)))) %>% unnest(r) %>% select(-estimatelnCVR) %>% purrr::set_names(c("parameter_group", "var.CVR", "N.CVR")) robusub_VR. <- model_count. %>% transmute(estimatelnVR = map(model_lnVR, count_fun.)) %>% mutate(r = map(estimatelnVR, ~ data.frame(t(.)))) %>% unnest(r) %>% select(-estimatelnVR) %>% purrr::set_names(c("parameter_group", "var.VR", "N.VR")) robu_all. <- full_join(robusub_CVR., robusub_VR.) %>% full_join(., robusub_RR.)</code></pre> <p>Merge the two data sets (the new [robu_all.] and the initial [uncorrelated sub-traits with count = 1])</p> <p>In this step, we<br /> 1) merge the N from robumeta and the N from metafor (s.nlevels.error) together into the same columns (N.RR, N.VR, N.CVR) 2) calculate the total variance for metafor models as the sum of random effect variances and the residual error, then add in the same columns together with the residual variances from robumeta</p> <pre class="r"><code>metahetero_all <- metahetero1 %>% filter(par_group_size == 1) %>% as_tibble() metahetero_all$N.RR <- metahetero_all$s.nlevels.error.RR metahetero_all$N.CVR <- metahetero_all$s.nlevels.error.CVR metahetero_all$N.VR <- metahetero_all$s.nlevels.error.VR metahetero_all$var.RR <- log(sqrt(metahetero_all$sigma2_strain.RR + metahetero_all$sigma2_center.RR + metahetero_all$sigma2_error.RR)) metahetero_all$var.VR <- log(sqrt(metahetero_all$sigma2_strain.VR + metahetero_all$sigma2_center.VR + metahetero_all$sigma2_error.VR)) metahetero_all$var.CVR <- log(sqrt(metahetero_all$sigma2_strain.CVR + metahetero_all$sigma2_center.CVR + metahetero_all$sigma2_error.CVR)) # str(metahetero_all) # str(robu_all.) metahetero_all <- metahetero_all %>% mutate( var.RR = if_else(var.RR == -Inf, -7, var.RR), #Felix commented 6/2/2020: can't remmeber, why -7, -6, -5 in this section! var.VR = if_else(var.VR == -Inf, -5, var.VR), var.CVR = if_else(var.CVR == -Inf, -6, var.CVR) ) # **Combine data ## Step1 combinedmetahetero <- bind_rows(robu_all., metahetero_all) # glimpse(combinedmetahetero) # Steps 2&3 metacombohetero <- combinedmetahetero metacombohetero$counts <- metahetero1$par_group_size[match(metacombohetero$parameter_group, metahetero1$parameter_group)] metacombohetero$procedure2 <- metahetero1$procedure[match(metacombohetero$parameter_group, metahetero1$parameter_group)] metacombohetero$GroupingTerm2 <- metahetero1$GroupingTerm[match(metacombohetero$parameter_group, metahetero1$parameter_group)] # **Clean-up and rename metacombohetero <- metacombohetero %>% select(parameter_group, var.CVR, N.CVR, var.VR, N.VR, var.RR, N.RR, counts, procedure = procedure2, GroupingTerm = GroupingTerm2) #Felix changed 6/2/2020: was: c(1:7, 43:45, and 2 renaming lines)</code></pre> </div> <div id="meta-analysis-of-heterogeneity" class="section level4"> <h4>Meta-analysis of heterogeneity</h4> <pre class="r"><code>## Perform meta-meta-analysis (3 for each of the 9 grouping terms: var.CVR, ## var.VR, var.RR) metacombohetero_final <- metacombohetero %>% group_by(GroupingTerm) %>% nest() # Final fixed effects meta-analyses within grouping terms, with SE of the # estimate heterog1 <- metacombohetero_final %>% mutate(model_heteroCVR = map(data, ~metafor::rma.uni(yi = .x$var.CVR, sei = sqrt(1/2 * (.x$N.CVR - 1)), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 10000, stepadj = 0.5), verbose = F)), model_heteroVR = map(data, ~metafor::rma.uni(yi = .x$var.VR, sei = sqrt(1/2 * (.x$N.VR - 1)), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 10000, stepadj = 0.5), verbose = F)), model_heteroRR = map(data, ~metafor::rma.uni(yi = .x$var.RR, sei = sqrt(1/2 * (.x$N.RR - 1)), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 10000, stepadj = 0.5), verbose = F))) # Across all grouping terms metacombohetero_all_final <- metacombohetero %>% nest(data = everything()) # Final fixed effects meta-analyses ACROSS grouping terms, with SE of the # estimate heterog1_all <- metacombohetero_all_final %>% mutate(model_heteroCVR = map(data, ~metafor::rma.uni(yi = .x$var.CVR, sei = sqrt(1/2 * (.x$N.CVR - 1)), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 10000, stepadj = 0.5), verbose = F)), model_heteroVR = map(data, ~metafor::rma.uni(yi = .x$var.VR, sei = sqrt(1/2 * (.x$N.VR - 1)), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 10000, stepadj = 0.5), verbose = F)), model_heteroRR = map(data, ~metafor::rma.uni(yi = .x$var.RR, sei = sqrt(1/2 * (.x$N.RR - 1)), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 10000, stepadj = 0.5), verbose = F))) # Re-structure data for each grouping term; extract heterogenenity/variance # terms; delete un-used variables Behaviour. <- heterog1 %>% filter(., GroupingTerm == "Behaviour") %>% select(., -data) %>% mutate(heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se, heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se, heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se) %>% select(., GroupingTerm, heteroCVR:heteroRR_se) Immunology. <- heterog1 %>% filter(., GroupingTerm == "Immunology") %>% select(., -data) %>% mutate(heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se, heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se, heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se) %>% select(., GroupingTerm, heteroCVR:heteroRR_se) Hematology. <- heterog1 %>% filter(., GroupingTerm == "Hematology") %>% select(., -data) %>% mutate(heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se, heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se, heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se) %>% select(., GroupingTerm, heteroCVR:heteroRR_se) Hearing. <- heterog1 %>% filter(., GroupingTerm == "Hearing") %>% select(., -data) %>% mutate(heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se, heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se, heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se) %>% select(., GroupingTerm, heteroCVR:heteroRR_se) Physiology. <- heterog1 %>% filter(., GroupingTerm == "Physiology") %>% select(., -data) %>% mutate(heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se, heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se, heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se) %>% select(., GroupingTerm, heteroCVR:heteroRR_se) Metabolism. <- heterog1 %>% filter(., GroupingTerm == "Metabolism") %>% select(., -data) %>% mutate(heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se, heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se, heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se) %>% select(., GroupingTerm, heteroCVR:heteroRR_se) Morphology. <- heterog1 %>% filter(., GroupingTerm == "Morphology") %>% select(., -data) %>% mutate(heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se, heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se, heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se) %>% select(., GroupingTerm, heteroCVR:heteroRR_se) Heart. <- heterog1 %>% filter(., GroupingTerm == "Heart") %>% select(., -data) %>% mutate(heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se, heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se, heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se) %>% select(., GroupingTerm, heteroCVR:heteroRR_se) Eye. <- heterog1 %>% filter(., GroupingTerm == "Eye") %>% select(., -data) %>% mutate(heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se, heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se, heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se) %>% select(., GroupingTerm, heteroCVR:heteroRR_se) # Reorder to be able to keep cell referencing heterog1_all <- heterog1_all %>% mutate(GroupingTerm = "All") %>% select(GroupingTerm, everything()) All. <- heterog1_all %>% select(., -data) %>% mutate(heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se, heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se, heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se) %>% select(., GroupingTerm, heteroCVR:heteroRR_se) heterog2 <- bind_rows(Behaviour., Morphology., Metabolism., Physiology., Immunology., Hematology., Heart., Hearing., Eye., All.) # str(heterog2)</code></pre> </div> <div id="heterogeneity-plot" class="section level4"> <h4>Heterogeneity PLOT</h4> <p>Restructure data for plotting</p> <pre class="r"><code>heterog3 <- gather(heterog2, parameter, value, c(heteroCVR, heteroVR, heteroRR), factor_key = TRUE) heteroCVR.ci <- heterog3 %>% filter(parameter == "heteroCVR") %>% mutate(ci.low = heteroCVR_lower, ci.high = heteroCVR_upper) heteroVR.ci <- heterog3 %>% filter(parameter == "heteroVR") %>% mutate(ci.low = heteroVR_lower, ci.high = heteroVR_upper) heteroRR.ci <- heterog3 %>% filter(parameter == "heteroRR") %>% mutate(ci.low = heteroRR_lower, ci.high = heteroRR_upper) heterog4 <- bind_rows(heteroCVR.ci, heteroVR.ci, heteroRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) # **Re-order grouping terms heterog4$GroupingTerm <- factor(heterog4$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) heterog4$GroupingTerm <- factor(heterog4$GroupingTerm, rev(levels(heterog4$GroupingTerm))) heterog4$label <- "All traits" # write.csv(heterog4, 'heterog4.csv')</code></pre> </div> <div id="plot-s1-c-second-order-meta-analysis-on-heterogeneity" class="section level4"> <h4>Plot S1 C (Second-order meta analysis on heterogeneity)</h4> <pre class="r"><code>heterog5 <- heterog4 heterog5$mean <- as.numeric(exp(heterog5$value)) heterog5$ci.l <- as.numeric(exp(heterog5$ci.low)) heterog5$ci.h <- as.numeric(exp(heterog5$ci.high)) heterog6 <- heterog5 HeteroS1 <- heterog6 %>% ggplot(aes(y = GroupingTerm, x = mean)) + geom_errorbarh(aes( xmin = ci.l, xmax = ci.h ), height = 0.1, show.legend = FALSE ) + geom_point(aes(shape = parameter), fill = "black", color = "black", size = 2.2, show.legend = FALSE ) + scale_x_continuous( limits = c(-0.1, 1.4), # breaks = c(0, 0.1, 0.2), name = "sigma^2" ) + # geom_vline(xintercept=0, # color='black', # linetype='dashed')+ facet_grid( cols = vars(parameter), rows = vars(label), labeller = label_wrap_gen(width = 23), scales = "free", space = "free" ) + theme_bw() + theme( strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_text(size = 12), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.title = element_blank(), axis.title.x = element_text(hjust = 0.5, size = 14), axis.title.y = element_blank() ) #HeteroS1</code></pre> </div> <div id="combined-figure-s1-overall-count-data-meta-anlysis-results-heterogeneity" class="section level4"> <h4>Combined Figure S1: overall Count data, Meta anlysis results, Heterogeneity)</h4> <pre class="r"><code>FigS1 <- ggarrange(malebias_FigS1_alltraits + xlab("percentage sex bias"), Metameta_FigS1_alltraits, HeteroS1, nrow = 3, align = "v", heights = c(1, 1, 1), labels = c("A", "B", "C")) FigS1</code></pre> <p><img src="data:image/png;base64,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" width="672" /></p> <pre class="r"><code># ggsave('FigS1_OverallResults.pdf', plot = Fig4, width = 6, height = 5)</code></pre> </div> </div> </div> <div id="figure-s2" class="section level2"> <h2>Figure S2</h2> <p>Plot FigS2 all significant results (CI not overlapping zero) for males ### FELIX: “ALL” missing. Felix added 11/2/2020: done</p> <pre class="r"><code>meta.plot2.sig.bS <- meta.plot2.sig[, c("lnCVR", "lnVR", "lnRR", "lnCVRsig", "lnVRsig", "lnRRsig", "GroupingTerm")] meta.plot2.sig.cS <- gather(meta.plot2.sig.bS, trait, value, lnCVR:lnRR) meta.plot2.sig.cS$sig <- "placeholder" meta.plot2.sig.cS$trait <- factor(meta.plot2.sig.cS$trait, levels = c("lnCVR", "lnVR", "lnRR")) meta.plot2.sig.cS$sig <- ifelse(meta.plot2.sig.cS$trait == "lnCVR", meta.plot2.sig.cS$lnCVRsig, ifelse(meta.plot2.sig.cS$trait == "lnVR", meta.plot2.sig.cS$lnVRsig, meta.plot2.sig.cS$lnRRsig) ) # choosing sex biased ln-ratios significantly larger than 0 meta.plotS2.sig.malebias <- meta.plot2.sig.cS %>% group_by_at(vars(trait, GroupingTerm)) %>% filter(sig == 1) %>% summarise(male_sig = sum(value > 0), female_sig = sum(value < 0), total = male_sig + female_sig) meta.plotS2.sig.malebias <- ungroup(meta.plotS2.sig.malebias) %>% add_row(trait = "lnCVR", GroupingTerm = "Hearing", male_sig = 0, female_sig = 0, .before = 4) %>% # add "Hearing" for lnCVR (not filtered as only zeros) mutate(malepercent = male_sig * 100 / total, femalepercent = female_sig * 100 / total) meta.plotS2.sig.malebias$label <- "CI not overlapping zero" # restructure to create stacked bar plots meta.plotS2.sig.bothsexes <- as.data.frame(meta.plotS2.sig.malebias) meta.plotS2.sig.bothsexes.b <- gather(meta.plotS2.sig.bothsexes, key = sex, value = percent, malepercent:femalepercent, factor_key = TRUE) # create new sample size variable meta.plotS2.sig.bothsexes.b$samplesize <- with(meta.plotS2.sig.bothsexes.b, ifelse(sex == "malepercent", male_sig, female_sig)) # Add summary row ('All') and re-arrange rows into correct order for plotting (warnings about coercing 'id' into character vector are ok) meta.plotS2.sig.bothsexes.c <- meta.plotS2.sig.bothsexes.b %>% group_by(trait, sex) %>% summarise(GroupingTerm = "All", male_sig = sum(male_sig), female_sig = sum(female_sig), total = male_sig + female_sig, label = "CI not overlapping zero", samplesize = sum(samplesize)) %>% mutate(percent = ifelse(sex == "femalepercent", female_sig*100/(male_sig + female_sig), male_sig*100/(male_sig + female_sig))) %>% bind_rows(meta.plotS2.sig.bothsexes.b, .) %>% mutate(rownumber = row_number()) %>% .[c(55, 1:9, 57, 10:18, 59, 19:27, 56, 28:36, 58, 37:45, 60, 46:54), ] meta.plotS2.sig.bothsexes.c$GroupingTerm <- factor(meta.plotS2.sig.bothsexes.c$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) meta.plotS2.sig.bothsexes.c$GroupingTerm <- factor(meta.plotS2.sig.bothsexes.c$GroupingTerm, rev(levels(meta.plotS2.sig.bothsexes.c$GroupingTerm))) # *Plot Fig2 all significant results (CI not overlapping zero): # no sig. lnCVR for 'Hearing' in either sex; no sig. male-biased lnCVR for 'Immunology' and 'Eye, and no sig. male-biased lnVR for 'Eye' malebias_FigS2_sigtraits <- ggplot(meta.plotS2.sig.bothsexes.c) + aes(x = GroupingTerm, y = percent, fill = sex) + geom_col() + geom_hline(yintercept = 50, linetype = "dashed", color = "gray40") + geom_text( data = subset(meta.plotS2.sig.bothsexes.c, samplesize != 0), aes(label = samplesize), position = position_stack(vjust = .5), color = "white", size = 3.5 ) + facet_grid( cols = vars(trait), rows = vars(label), labeller = label_wrap_gen(width = 18), scales = "free", space = "free" ) + scale_fill_brewer(palette = "Set2") + theme_bw(base_size = 18) + theme( strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_text(size = 12), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.position = "none", axis.title.x = element_blank(), axis.title.y = element_blank() ) + coord_flip() # malebias_FigS2_sigtraits # this is Figure S2 A</code></pre> <div id="prepare-data-for-traits-with-effect-size-ratios-10-larger-in-males-supplemental-figure-s2" class="section level3"> <h3>Prepare data for traits with effect size ratios > 10% larger in males, supplemental Figure S2</h3> </div> <div id="felix-all-missing.-felix-added-1122020-done" class="section level3"> <h3>FELIX: “ALL” missing. Felix added 11/2/2020: done</h3> <p>This Figure extends Figure 4, as it includes results not only for lnCVR and lnRR but also lnCVR. In addition, we compare two different assessments of sex-bias, significance (CI not overlapping zero) and sex differences in male / female ratios > 10%</p> </div> <div id="over-10-male-bias-count-data-first--order-metanalysis" class="section level3"> <h3>Over 10% male bias, count data (first- order metanalysis)</h3> <pre class="r"><code>meta.plot2.over10 <- meta_clean %>% select(lnCVR, lnVR, lnRR, GroupingTerm) %>% arrange(GroupingTerm) meta.plot2.over10.b <- gather(meta.plot2.over10, trait, value, c(lnCVR, lnVR, lnRR)) meta.plot2.over10.b$trait <- factor(meta.plot2.over10.b$trait, levels = c("lnCVR", "lnVR", "lnRR")) meta.plot2.over10.c <- meta.plot2.over10.b %>% group_by_at(vars(trait, GroupingTerm)) %>% summarise(malebias = sum(value > log(11/10)), femalebias = sum(value < log(9/10)), total = malebias + femalebias, malepercent = malebias * 100/total, femalepercent = femalebias * 100/total) meta.plot2.over10.c$label <- "Sex difference in m/f ratios > 10%" # restructure to create stacked bar plots meta.plot2.over10.c <- as.data.frame(meta.plot2.over10.c) meta.plot2.over10.d <- gather(meta.plot2.over10.c, key = sex, value = percent, malepercent:femalepercent, factor_key = TRUE) # create new sample size variable meta.plot2.over10.d$samplesize <- with(meta.plot2.over10.d, ifelse(sex == "malepercent", malebias, femalebias)) # Add summary row ('All') and re-arrange rows into correct order for # plotting (warnings about coercing 'id' into character vector are ok) meta.plot2.over10.e <- meta.plot2.over10.d %>% group_by(trait, sex) %>% summarise(GroupingTerm = "All", malebias = sum(malebias), femalebias = sum(femalebias), total = malebias + femalebias, label = "Sex difference in m/f ratios > 10%", samplesize = sum(samplesize)) %>% mutate(percent = ifelse(sex == "femalepercent", femalebias * 100/(malebias + femalebias), malebias * 100/(malebias + femalebias))) %>% bind_rows(meta.plot2.over10.d, .) %>% mutate(rownumber = row_number()) %>% .[c(55, 1:9, 57, 10:18, 59, 19:27, 56, 28:36, 58, 37:45, 60, 46:54), ] meta.plot2.over10.e$GroupingTerm <- factor(meta.plot2.over10.e$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) meta.plot2.over10.e$GroupingTerm <- factor(meta.plot2.over10.e$GroupingTerm, rev(levels(meta.plot2.over10.e$GroupingTerm))) # *Plot Fig2 Sex difference in m/f ratio > 10% malebias_Fig2_over10 <- ggplot(meta.plot2.over10.e) + aes(x = GroupingTerm, y = percent, fill = sex) + geom_col() + geom_hline(yintercept = 50, linetype = "dashed", color = "gray40") + geom_text(data = subset(meta.plot2.over10.e, samplesize != 0), aes(label = samplesize), position = position_stack(vjust = 0.5), color = "white", size = 3.5) + facet_grid(cols = vars(trait), rows = vars(label), labeller = label_wrap_gen(width = 18), scales = "free", space = "free") + scale_fill_brewer(palette = "Set2") + theme_bw(base_size = 18) + theme(strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_blank(), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.position = "none", axis.title.x = element_blank(), axis.title.y = element_blank()) + coord_flip() # malebias_Fig2_over10 (supplemental Figure S2)</code></pre> <div id="fig-s2-second-order-meta-analysis-male-traits" class="section level4"> <h4>Fig S2, second-order meta-analysis, male traits</h4> </div> <div id="female-figure-significant-traits" class="section level4"> <h4>Female Figure, significant traits</h4> <p>Female FigS2 B sig</p> <p>Prepare data for traits with CI not overlapping 0 create column with 1= different from zero, 0= zero included in CI</p> <p>Restructure data for plotting</p> <pre class="r"><code>overall3.female.sigS <- gather(overall.female.plot3, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE) lnCVR.ci <- overall3.female.sigS %>% filter(parameter == "lnCVR") %>% mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper) lnVR.ci <- overall3.female.sigS %>% filter(parameter == "lnVR") %>% mutate(ci.low = lnVR_lower, ci.high = lnVR_upper) lnRR.ci <- overall3.female.sigS %>% filter(parameter == "lnRR") %>% mutate(ci.low = lnRR_lower, ci.high = lnRR_upper) overall4.female.sigS <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) overall4.female.sigS$label <- "CI not overlapping zero" ## Metameta_FigS2_female.sig <- overall4.female.sigS %>% ggplot(aes(y = GroupingTerm, x = value)) + geom_errorbarh(aes( xmin = ci.low, xmax = ci.high ), height = 0.1, show.legend = FALSE ) + geom_point(aes(shape = parameter), fill = "salmon1", color = "salmon1", size = 2.2, show.legend = FALSE ) + scale_x_continuous( limits = c(-0.4, 0), breaks = c(-0.3, 0), name = "Effect size" ) + geom_vline( xintercept = 0, color = "black", linetype = "dashed" ) + facet_grid( cols = vars(parameter), # rows = vars(label), # labeller = label_wrap_gen(width = 23), scales = "free", space = "free" ) + theme_bw() + theme( strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_text(size = 12), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.title = element_blank(), axis.title.x = element_blank(), axis.title.y = element_blank() ) # Metameta_FigS2_female.sig</code></pre> <p>Prepare data for traits with m/f difference > 10%</p> <p>Create column with 1= larger, 0= difference not larger than 10% between male/female ratios</p> <pre class="r"><code>meta.male.plot3.perc <- metacombo %>% mutate(percCVR = ifelse(lnCVR > log(11/10), 1, 0), percVR = ifelse(lnVR > log(11/10), 1, 0), percRR = ifelse(lnRR > log(11/10), 1, 0)) # Significant subset for lnCVR metacombo_male.plot3.CVR.perc <- meta.male.plot3.perc %>% filter(percCVR == 1) %>% group_by(GroupingTerm) %>% nest() metacombo_male.plot3.CVR.perc.all <- meta.male.plot3.perc %>% filter(percCVR == 1) %>% nest(data = everything()) # Significant subset for lnVR metacombo_male.plot3.VR.perc <- meta.male.plot3.perc %>% filter(percVR == 1) %>% group_by(GroupingTerm) %>% nest() metacombo_male.plot3.VR.perc.all <- meta.male.plot3.perc %>% filter(percVR == 1) %>% nest(data = everything()) # Significant subset for lnRR metacombo_male.plot3.RR.perc <- meta.male.plot3.perc %>% filter(percRR == 1) %>% group_by(GroupingTerm) %>% nest() metacombo_male.plot3.RR.perc.all <- meta.male.plot3.perc %>% filter(percRR == 1) %>% nest(data = everything()) # **Final fixed effects meta-analyses within grouping terms and across # grouping terms, with SE of the estimate plot3.male.meta.CVR.perc <- metacombo_male.plot3.CVR.perc %>% mutate(model_lnCVR = map(data, ~metafor::rma.uni(yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.male.meta.VR.perc <- metacombo_male.plot3.VR.perc %>% mutate(model_lnVR = map(data, ~metafor::rma.uni(yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.male.meta.RR.perc <- metacombo_male.plot3.RR.perc %>% mutate(model_lnRR = map(data, ~metafor::rma.uni(yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) # Across all grouping terms # plot3.male.meta.CVR.perc.all <- metacombo_male.plot3.CVR.perc.all %>% mutate(model_lnCVR = map(data, ~metafor::rma.uni(yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.male.meta.CVR.perc.all <- plot3.male.meta.CVR.perc.all %>% mutate(GroupingTerm = "All") plot3.male.meta.VR.perc.all <- metacombo_male.plot3.VR.perc.all %>% mutate(model_lnVR = map(data, ~metafor::rma.uni(yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.male.meta.VR.perc.all <- plot3.male.meta.VR.perc.all %>% mutate(GroupingTerm = "All") plot3.male.meta.RR.perc.all <- metacombo_male.plot3.RR.perc.all %>% mutate(model_lnRR = map(data, ~metafor::rma.uni(yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.male.meta.RR.perc.all <- plot3.male.meta.RR.perc.all %>% mutate(GroupingTerm = "All") # Combine with separate grouping term results plot3.male.meta.CVR.perc <- bind_rows(plot3.male.meta.CVR.perc, plot3.male.meta.CVR.perc.all) plot3.male.meta.VR.perc <- bind_rows(plot3.male.meta.VR.perc, plot3.male.meta.VR.perc.all) plot3.male.meta.RR.perc <- bind_rows(plot3.male.meta.RR.perc, plot3.male.meta.RR.perc.all) # **Re-structure data for each grouping term; delete un-used variables: # 'Hearing missing for all 3 parameters' plot3.male.meta.CVR.perc.b <- as.data.frame(plot3.male.meta.CVR.perc %>% group_by(GroupingTerm) %>% mutate(lnCVR = map_dbl(model_lnCVR, pluck(2)), lnCVR_lower = map_dbl(model_lnCVR, pluck(6)), lnCVR_upper = map_dbl(model_lnCVR, pluck(7)), lnCVR_se = map_dbl(model_lnCVR, pluck(3))))[, c(1, 4:7)] add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.male.meta.CVR.perc.b)) plot3.male.meta.CVR.perc.b <- rbind(plot3.male.meta.CVR.perc.b, add.row.hearing) plot3.male.meta.CVR.perc.b <- plot3.male.meta.CVR.perc.b[order(plot3.male.meta.CVR.perc.b$GroupingTerm), ] plot3.male.meta.VR.perc.b <- as.data.frame(plot3.male.meta.VR.perc %>% group_by(GroupingTerm) %>% mutate(lnVR = map_dbl(model_lnVR, pluck(2)), lnVR_lower = map_dbl(model_lnVR, pluck(6)), lnVR_upper = map_dbl(model_lnVR, pluck(7)), lnVR_se = map_dbl(model_lnVR, pluck(3))))[, c(1, 4:7)] add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.male.meta.VR.perc.b)) plot3.male.meta.VR.perc.b <- rbind(plot3.male.meta.VR.perc.b, add.row.hearing) plot3.male.meta.VR.perc.b <- plot3.male.meta.VR.perc.b[order(plot3.male.meta.VR.perc.b$GroupingTerm), ] plot3.male.meta.RR.perc.b <- as.data.frame(plot3.male.meta.RR.perc %>% group_by(GroupingTerm) %>% mutate(lnRR = map_dbl(model_lnRR, pluck(2)), lnRR_lower = map_dbl(model_lnRR, pluck(6)), lnRR_upper = map_dbl(model_lnRR, pluck(7)), lnRR_se = map_dbl(model_lnRR, pluck(3))))[, c(1, 4:7)] add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.male.meta.RR.perc.b)) plot3.male.meta.RR.perc.b <- rbind(plot3.male.meta.RR.perc.b, add.row.hearing) add.row.eye <- as.data.frame(t(c("Eye", NA, NA, NA, NA))) %>% setNames(names(plot3.male.meta.RR.perc.b)) plot3.male.meta.RR.perc.b <- rbind(plot3.male.meta.RR.perc.b, add.row.eye) plot3.male.meta.RR.perc.b <- plot3.male.meta.RR.perc.b[order(plot3.male.meta.RR.perc.b$GroupingTerm), ] plot3.male.meta.CVR.Vr.perc <- full_join(plot3.male.meta.CVR.perc.b, plot3.male.meta.VR.perc.b) overall.male.plot3.perc <- full_join(plot3.male.meta.CVR.Vr.perc, plot3.male.meta.RR.perc.b) overall.male.plot3.perc$GroupingTerm <- factor(overall.male.plot3.perc$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) overall.male.plot3.perc$GroupingTerm <- factor(overall.male.plot3.perc$GroupingTerm, rev(levels(overall.male.plot3.perc$GroupingTerm)))</code></pre> <p>Restructure data for plotting : Male biased, 10% difference</p> <pre class="r"><code>overall3.perc <- gather(overall.male.plot3.perc, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE) lnCVR.ci <- overall3.perc %>% filter(parameter == "lnCVR") %>% mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper) lnVR.ci <- overall3.perc %>% filter(parameter == "lnVR") %>% mutate(ci.low = lnVR_lower, ci.high = lnVR_upper) lnRR.ci <- overall3.perc %>% filter(parameter == "lnRR") %>% mutate(ci.low = lnRR_lower, ci.high = lnRR_upper) overall4.male.perc <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) overall4.male.perc$label <- "Sex difference in m/f ratios > 10%" overall4.male.perc$value <- as.numeric(overall4.male.perc$value) overall4.male.perc$ci.low <- as.numeric(overall4.male.perc$ci.low) overall4.male.perc$ci.high <- as.numeric(overall4.male.perc$ci.high)</code></pre> <p>Plot Fig S2 all >10% difference (male bias) S2 B, bottom right</p> <pre class="r"><code>Metameta_Fig3_male.perc <- overall4.male.perc %>% # filter(., GroupingTerm != "Hearing") %>% ggplot(aes(y = GroupingTerm, x = value)) + geom_errorbarh(aes( xmin = ci.low, xmax = ci.high ), height = 0.1, show.legend = FALSE ) + geom_point(aes( shape = parameter, fill = parameter ), color = "mediumaquamarine", size = 2.2, show.legend = FALSE ) + scale_x_continuous( limits = c(-0.2, 0.62), breaks = c(0, 0.3), name = "Effect size" ) + geom_vline( xintercept = 0, color = "black", linetype = "dashed" ) + facet_grid( cols = vars(parameter), rows = vars(label), labeller = label_wrap_gen(width = 23), scales = "free", space = "free" ) + theme_bw() + theme( strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_blank(), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.title = element_blank(), axis.title.x = element_text(hjust = 0.5, size = 14), axis.title.y = element_blank() ) # Metameta_Fig3_male.perc (Figure S2 right panel)</code></pre> </div> <div id="female-fig-s2-10" class="section level4"> <h4>Female Fig S2 >10%</h4> <pre class="r"><code>meta.plot3.perc <- metacombo %>% mutate(percCVR = ifelse(lnCVR < log(9/10), 1, 0), percVR = ifelse(lnVR < log(9/10), 1, 0), percRR = ifelse(lnRR < log(9/10), 1, 0)) # Significant subset for lnCVR metacombo_plot3.CVR.perc <- meta.plot3.perc %>% filter(percCVR == 1) %>% group_by(GroupingTerm) %>% nest() metacombo_plot3.CVR.perc.all <- meta.plot3.perc %>% filter(percCVR == 1) %>% nest(data = everything()) # Significant subset for lnVR metacombo_plot3.VR.perc <- meta.plot3.perc %>% filter(percVR == 1) %>% group_by(GroupingTerm) %>% nest() metacombo_plot3.VR.perc.all <- meta.plot3.perc %>% filter(percVR == 1) %>% nest(data = everything()) # Significant subset for lnRR metacombo_plot3.RR.perc <- meta.plot3.perc %>% filter(percRR == 1) %>% group_by(GroupingTerm) %>% nest() metacombo_plot3.RR.perc.all <- meta.plot3.perc %>% filter(percRR == 1) %>% nest(data = everything()) # **Final fixed effects meta-analyses within grouping terms, with SE of the # estimate plot3.meta.CVR.perc <- metacombo_plot3.CVR.perc %>% mutate(model_lnCVR = map(data, ~metafor::rma.uni(yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.meta.VR.perc <- metacombo_plot3.VR.perc %>% mutate(model_lnVR = map(data, ~metafor::rma.uni(yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.meta.RR.perc <- metacombo_plot3.RR.perc %>% mutate(model_lnRR = map(data, ~metafor::rma.uni(yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) # Across all grouping terms # plot3.meta.CVR.perc.all <- metacombo_plot3.CVR.perc.all %>% mutate(model_lnCVR = map(data, ~metafor::rma.uni(yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.meta.CVR.perc.all <- plot3.meta.CVR.perc.all %>% mutate(GroupingTerm = "All") plot3.meta.VR.perc.all <- metacombo_plot3.VR.perc.all %>% mutate(model_lnVR = map(data, ~metafor::rma.uni(yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.meta.VR.perc.all <- plot3.meta.VR.perc.all %>% mutate(GroupingTerm = "All") plot3.meta.RR.perc.all <- metacombo_plot3.RR.perc.all %>% mutate(model_lnRR = map(data, ~metafor::rma.uni(yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower)/(2 * 1.96), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F))) plot3.meta.RR.perc.all <- plot3.meta.RR.perc.all %>% mutate(GroupingTerm = "All") # Combine with separate grouping term results plot3.meta.CVR.perc <- bind_rows(plot3.meta.CVR.perc, plot3.meta.CVR.perc.all) plot3.meta.VR.perc <- bind_rows(plot3.meta.VR.perc, plot3.meta.VR.perc.all) plot3.meta.RR.perc <- bind_rows(plot3.meta.RR.perc, plot3.meta.RR.perc.all) # **Re-structure data for each grouping term; delete un-used variables: # 'Hearing missing for all 3 parameters' plot3.meta.CVR.perc.b <- as.data.frame(plot3.meta.CVR.perc %>% group_by(GroupingTerm) %>% mutate(lnCVR = map_dbl(model_lnCVR, pluck(2)), lnCVR_lower = map_dbl(model_lnCVR, pluck(6)), lnCVR_upper = map_dbl(model_lnCVR, pluck(7)), lnCVR_se = map_dbl(model_lnCVR, pluck(3))))[, c(1, 4:7)] add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.meta.CVR.perc.b)) plot3.meta.CVR.perc.b <- rbind(plot3.meta.CVR.perc.b, add.row.hearing) plot3.meta.CVR.perc.b <- plot3.meta.CVR.perc.b[order(plot3.meta.CVR.perc.b$GroupingTerm), ] plot3.meta.VR.perc.b <- as.data.frame(plot3.meta.VR.perc %>% group_by(GroupingTerm) %>% mutate(lnVR = map_dbl(model_lnVR, pluck(2)), lnVR_lower = map_dbl(model_lnVR, pluck(6)), lnVR_upper = map_dbl(model_lnVR, pluck(7)), lnVR_se = map_dbl(model_lnVR, pluck(3))))[, c(1, 4:7)] add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.meta.VR.perc.b)) plot3.meta.VR.perc.b <- rbind(plot3.meta.VR.perc.b, add.row.hearing) plot3.meta.VR.perc.b <- plot3.meta.VR.perc.b[order(plot3.meta.VR.perc.b$GroupingTerm), ] plot3.meta.RR.perc.b <- as.data.frame(plot3.meta.RR.perc %>% group_by(GroupingTerm) %>% mutate(lnRR = map_dbl(model_lnRR, pluck(2)), lnRR_lower = map_dbl(model_lnRR, pluck(6)), lnRR_upper = map_dbl(model_lnRR, pluck(7)), lnRR_se = map_dbl(model_lnRR, pluck(3))))[, c(1, 4:7)] add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.meta.RR.perc.b)) plot3.meta.RR.perc.b <- rbind(plot3.meta.RR.perc.b, add.row.hearing) add.row.hematology <- as.data.frame(t(c("Hematology", NA, NA, NA, NA))) %>% setNames(names(plot3.meta.RR.perc.b)) plot3.meta.RR.perc.b <- rbind(plot3.meta.RR.perc.b, add.row.hematology) plot3.meta.RR.perc.b <- plot3.meta.RR.perc.b[order(plot3.meta.RR.perc.b$GroupingTerm), ] plot3.meta.CVR.perc.c <- full_join(plot3.meta.CVR.perc.b, plot3.meta.VR.perc.b) overall.plot3.perc <- full_join(plot3.meta.CVR.perc.c, plot3.meta.RR.perc.b) overall.plot3.perc$GroupingTerm <- factor(overall.plot3.perc$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) overall.plot3.perc$GroupingTerm <- factor(overall.plot3.perc$GroupingTerm, rev(levels(overall.plot3.perc$GroupingTerm)))</code></pre> <p>Restructure data for plotting Female bias, 10 percent difference</p> <pre class="r"><code>overall3.perc <- gather(overall.plot3.perc, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE) lnCVR.ci <- overall3.perc %>% filter(parameter == "lnCVR") %>% mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper) lnVR.ci <- overall3.perc %>% filter(parameter == "lnVR") %>% mutate(ci.low = lnVR_lower, ci.high = lnVR_upper) lnRR.ci <- overall3.perc %>% filter(parameter == "lnRR") %>% mutate(ci.low = lnRR_lower, ci.high = lnRR_upper) overall4.perc <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) overall4.perc$label <- "Sex difference in m/f ratios > 10%" overall4.perc$value <- as.numeric(overall4.perc$value) overall4.perc$ci.low <- as.numeric(overall4.perc$ci.low) overall4.perc$ci.high <- as.numeric(overall4.perc$ci.high)</code></pre> <p>Plot FigS2 all >10% difference (female) Figure S2B, bottom left</p> <pre class="r"><code>Metameta_Fig3_female.perc <- overall4.perc %>% ggplot(aes(y = GroupingTerm, x = value)) + geom_errorbarh(aes( xmin = ci.low, xmax = ci.high ), height = 0.1, show.legend = FALSE ) + geom_point(aes(shape = parameter), fill = "salmon1", color = "salmon1", size = 2.2, show.legend = FALSE ) + # scale_shape_manual(values = scale_x_continuous( limits = c(-0.53, 0.2), breaks = c(-0.3, 0), name = "Effect size" ) + geom_vline( xintercept = 0, color = "black", linetype = "dashed" ) + facet_grid( cols = vars(parameter), # rows = vars(label), # labeller = label_wrap_gen(width = 23), scales = "free", space = "free" ) + theme_bw() + theme( strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_blank(), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.title = element_blank(), axis.title.x = element_text(hjust = 0.5, size = 14), axis.title.y = element_blank() ) # Metameta_Fig3_female.perc (Figure 5D left panel)</code></pre> <p>MISSING Metameta_Fig3_female.sig Metameta_Fig3_female.sig VR!!! # ADDED TO TEST #Metameta_FigS2_male.sig (Figure S2B top right panel)</p> <p>Restructure MALE data for plotting</p> <pre class="r"><code>overall3.male.sigS <- gather(overall.male.plot3, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE) lnCVR.ci <- overall3.male.sigS %>% filter(parameter == "lnCVR") %>% mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper) lnVR.ci <- overall3.male.sigS %>% filter(parameter == "lnVR") %>% mutate(ci.low = lnVR_lower, ci.high = lnVR_upper) lnRR.ci <- overall3.male.sigS %>% filter(parameter == "lnRR") %>% mutate(ci.low = lnRR_lower, ci.high = lnRR_upper) overall4.male.sigS <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) overall4.male.sigS$label <- "CI not overlapping zero"</code></pre> <p>Plot FigS2 all significant results (CI not overlapping zero, male )</p> <pre class="r"><code>Metameta_FigS2_male.sig <- overall4.male.sigS %>% ggplot(aes(y = GroupingTerm, x = value)) + geom_errorbarh(aes(xmin = ci.low, xmax = ci.high), height = 0.1, show.legend = FALSE) + geom_point(aes(shape = parameter), fill = "mediumaquamarine", color = "mediumaquamarine", size = 2.2, show.legend = FALSE) + scale_x_continuous(limits = c(0, 0.4), breaks = c(0, 0.3), name = "Effect size") + geom_vline(xintercept = 0, color = "black", linetype = "dashed") + facet_grid(cols = vars(parameter), rows = vars(label), labeller = label_wrap_gen(width = 23), scales = "free", space = "free") + theme_bw() + theme(strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_text(size = 12), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.title = element_blank(), axis.title.x = element_blank(), axis.title.y = element_blank()) # Metameta_FigS2_male.sig</code></pre> </div> <div id="plot-fig-s2-plots-combined" class="section level4"> <h4>Plot Fig S2: plots combined</h4> <p>Metameta_FigS2_female.sig</p> <pre class="r"><code>library(ggpubr) FigS2b <- ggarrange(Metameta_FigS2_female.sig, Metameta_FigS2_male.sig, ncol = 2, nrow = 1, widths = c(1, 1.2), heights = c(1, 1)) FigS2d <- ggarrange(Metameta_Fig3_female.perc, Metameta_Fig3_male.perc, ncol = 2, nrow = 1, widths = c(1, 1.2), heights = c(1, 1)) # end combination Figure 5 FigS2 <- ggarrange(malebias_FigS2_sigtraits, malebias_Fig2_over10, FigS2b, FigS2d, ncol = 1, nrow = 4, heights = c(2.3, 2, 2.1, 2), labels = c("A", " ", "B", " ")) FigS2</code></pre> <p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABUAAAAPACAYAAAD0ZtPZAAAEGWlDQ1BrQ0dDb2xvclNwYWNlR2VuZXJpY1JHQgAAOI2NVV1oHFUUPrtzZyMkzlNsNIV0qD8NJQ2TVjShtLp/3d02bpZJNtoi6GT27s6Yyc44M7v9oU9FUHwx6psUxL+3gCAo9Q/bPrQvlQol2tQgKD60+INQ6Ium65k7M5lpurHeZe58853vnnvuuWfvBei5qliWkRQBFpquLRcy4nOHj4g9K5CEh6AXBqFXUR0rXalMAjZPC3e1W99Dwntf2dXd/p+tt0YdFSBxH2Kz5qgLiI8B8KdVy3YBevqRHz/qWh72Yui3MUDEL3q44WPXw3M+fo1pZuQs4tOIBVVTaoiXEI/MxfhGDPsxsNZfoE1q66ro5aJim3XdoLFw72H+n23BaIXzbcOnz5mfPoTvYVz7KzUl5+FRxEuqkp9G/Ajia219thzg25abkRE/BpDc3pqvphHvRFys2weqvp+krbWKIX7nhDbzLOItiM8358pTwdirqpPFnMF2xLc1WvLyOwTAibpbmvHHcvttU57y5+XqNZrLe3lE/Pq8eUj2fXKfOe3pfOjzhJYtB/yll5SDFcSDiH+hRkH25+L+sdxKEAMZahrlSX8ukqMOWy/jXW2m6M9LDBc31B9LFuv6gVKg/0Szi3KAr1kGq1GMjU/aLbnq6/lRxc4XfJ98hTargX++DbMJBSiYMIe9Ck1YAxFkKEAG3xbYaKmDDgYyFK0UGYpfoWYXG+fAPPI6tJnNwb7ClP7IyF+D+bjOtCpkhz6CFrIa/I6sFtNl8auFXGMTP34sNwI/JhkgEtmDz14ySfaRcTIBInmKPE32kxyyE2Tv+thKbEVePDfW/byMM1Kmm0XdObS7oGD/MypMXFPXrCwOtoYjyyn7BV29/MZfsVzpLDdRtuIZnbpXzvlf+ev8MvYr/Gqk4H/kV/G3csdazLuyTMPsbFhzd1UabQbjFvDRmcWJxR3zcfHkVw9GfpbJmeev9F08WW8uDkaslwX6avlWGU6NRKz0g/SHtCy9J30o/ca9zX3Kfc19zn3BXQKRO8ud477hLnAfc1/G9mrzGlrfexZ5GLdn6ZZrrEohI2wVHhZywjbhUWEy8icMCGNCUdiBlq3r+xafL549HQ5jH+an+1y+LlYBifuxAvRN/lVVVOlwlCkdVm9NOL5BE4wkQ2SMlDZU97hX86EilU/lUmkQUztTE6mx1EEPh7OmdqBtAvv8HdWpbrJS6tJj3n0CWdM6busNzRV3S9KTYhqvNiqWmuroiKgYhshMjmhTh9ptWhsF7970j/SbMrsPE1suR5z7DMC+P/Hs+y7ijrQAlhyAgccjbhjPygfeBTjzhNqy28EdkUh8C+DU9+z2v/oyeH791OncxHOs5y2AtTc7nb/f73TWPkD/qwBnjX8BoJ98VQNcC+8AAEAASURBVHgB7J0HeBTV18bPJqFDQHonNKUJCCJFOiigqDTBRhEL9oIFe/vE3stfuoKAWFBBEUQEKYI0AelNeq/SS8p33xvuZHazPbvJZvOe59ns7MydO3d+u3sz+84pjhRlQiMBEiABEiABEiABEiABEiABEiABEiABEiABEiCBKCQQE4XnxFMiARIgARIgARIgARIgARIgARIgARIgARIgARIgAU2AAig/CCRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAlFLgAJo1L61PDESIAESIAESIAESIAESIAESIAESIAESIAESIAEKoPwMkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJRC0BCqBR+9byxEiABEiABEiABEiABEiABEiABEiABEiABEiABCiA8jNAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiQQtQQogEbtW8sTIwESIAESIAESIAESIAESIAESIAESIAESIAESoADKzwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEDUEqAAGrVvLU+MBEiABEiABEiABEiABEiABEiABEiABEiABEiAAig/AyRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAlFLgAJo1L61PDESIAESIAESIAESIAESIAESIAESIAESIAESIAEKoPwMkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJRC0BCqBR+9byxEiABEiABEiABEiABEiABEiABEiABEiABEiABOLCieDpp5+Wv//+O90h3nzzTalfv3669VxBAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAqEk4EhRFsoOTV/79u2TChUqyPnz580q6/muu+6SYcOGWa+5QAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQALhIBC2EPgxY8a4FT9xEl999ZUcP348HOfDPkmABEiABEiABEiABEiABEiABEiABEiABEiABEjAIhA2AXTkyJHWQVwXTpw4IePHj3ddzdckQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkEFICYRFA582bJ+vXr/c60KFDh3rdzo0kQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkkFECYRFAR4wY4XNcy5YtkyVLlvhsxwYkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkECyBkAugx44dk2+//TbdeEqWLJluHb1A0yHhChIgARIgARIgARIgARIgARIgARIgARIgARIggRASCLkAigJHp06dchpirVq15JlnnnFahxcshpQOCVeQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmEkEDIBVB34e+33Xab3HLLLZIrVy6noZ88eVLGjRvntI4vSIAESIAESIAESIAESIAESIAESIAESIAESIAESCBUBEIqgK5YsSJdXk+HwyEQQEuUKCGdOnVKN+5hw4alW8cVJEACJEACJEACJEACJEACJEACJEACJEACJEACJBAKAnGh6MT0MXLkSLNoPbdu3VoqVKigX/ft21cmT55sbcMCiiEtXrxYGjVq5LSeL0ggUgls3bo1UofGcZEACZBASAgkJCSEpB/TCedNQ4LPJEAC0UgADh+VKlUK2ant3LlTEhMTQ9YfOyIBEiCBSCNQqFAhKVasWKQNi+OJcgIh8wA9c+aMjB07Nh2u3r17W+s6d+7s9kNOL1ALERdIgARIgARIgARIgARIgARIgARIgARIgARIgARCSCBkAuj3338vR44ccRpavnz5pHv37ta63Llzy0033WS9NgsohoTq8TQSIAESIAESIAESIAESIAESIAESIAESIAESIAESCCWBkAmg7sLfb7jhBomPj3caL8LgXQ3FkMaPH++6mq9JgARIgARIgARIgARIgARIgARIgARIgARIgARIIEMEQiKAbt68WWbNmpVuIPbwd7MRuT5r1aplXlrPQ4cOtZa5QAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAKhIBASAXTUqFGSkpLiNJ5SpUrJ1Vdf7bTOvOjTp49ZtJ6XL1+uiyFZK7hAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAhkkkOEq8ElJSfLFF1+kGwaqeg0cODDdeqzYv3+/2/XwAmU1eLdouJIESIAESIAESIAESIAESIAESIAESIAESIAESCAIAg7luensuhlgJz///LNcd911Ae7lvnmBAgVk9+7d6fKGum/NtSSQNQS2bt2aNQfmUUmABEggkwgkJCSE9EicN0OKk52RAAlEGAGHwyGVKlUK2ah27twpiYmJIeuPHZEACZBApBGAw1yxYsUibVgcT5QTyHAI/IgRI0KGCMWQxo0bF7L+2BEJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEDOJpAhAXTv3r0yZcqUkBIcNmxYSPtjZyRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAjmXQIZygI4ePTpdeAZCQIoUKeIX0XPnzgm8Pu2GYkiLFi2SK664wr6ayyRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiQQMIEMCaAjR45Md0BUfp82bVq69e5WrF69WurUqZNuE7xAKYCmw8IVJEACJEACJEACJEACJEACJEACJEACJEACJEACARIIOgR+9uzZsnHjxnSH6927d7p1nlbUrl1bGjdunG7zhAkT5NixY+nWcwUJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJBEIgaAHUnfdnwYIFpUuXLoEcX/r375+uPYshpUPCFSRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAkEQCEoAPXr0qHz33XfpDtetWzcpUKBAuvXeVtx0002SP3/+dE2GDh2abh1XkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEAgBIISQMePHy+nT59Od5xAwt/NzvHx8dKjRw/z0npesWKFLoZkreACCZAACZAACZAACZAACZAACZAACZAACZAACZAACQRIICgB1F34e9myZaVt27YBHj61ubsweGyhF2hQOLkTCZAACZAACZAACZAACZAACZAACZAACZAACZDABQJBVYFfunRpSAG2atVKUlJSQtonOyMBEiABEiABEiABEiABEiABEiABEiABEiABEiCBoDxAiY0ESIAESIAESIAESIAESIAESIAESIAESIAESIAEsgMBCqDZ4V3iGEmABEiABEiABEiABEiABEiABEiABEiABEiABIIiQAE0KGzciQRIgARIgARIgARIgARIgARIgARIgARIgARIIDsQoACaHd4ljpEESIAESIAESIAESIAESIAESIAESIAESIAESCAoAkEVQQrqSNyJBEiABEhAE0hMTJR9+/bJ3r17JW/evFKuXDkpUqQI6ZAACZAACZAACZAACZAACZAACZAACYSBAAXQMEBllyRAApFL4LvvvpPhw4frAT755JPSrl27TBnsmTNn5Pfff5dJkybJ8uXLJSUlxem4BQoUkBYtWsgdd9whCQkJTtvw4t9//5V7771Xr4+JiZHx48fLRRddlK6drxWvvvqqzJ07Vzd74IEH5LrrrtPL6G/06NG+dheHwyH58uUTjLdYsWJSt25dadWqlVSrVs3nvmxAAiSQMwh06dJFTp8+LWXLlpXPP/88ZCfNeTBkKNkRCZBAhBDIrOvSa665RpKSknyeda5cufQ1XsGCBaVKlSpy2WWXSfv27SV37twe9w1n3x4Pyg0kQAIkEAQBCqBBQOMuJEAC2ZcAhMjDhw/rEzh37lymnMhff/0lL7zwghw5csTj8U6ePCnTpk2T6dOnS+fOneXpp5+WuLi0KRoXocWLF5cNGzboPn777Tfp2bOnx/7cbThx4oQ+xtmzZ/WFbMuWLa1mdi7WSj8W5s+fL0OHDpUePXrI448/LhBnaSRAAjmbAOZYCKD58+cPKQjOgyHFyc5IgAQigID9+iuc16WYl/0RQO1I/vnnH/nxxx9l2LBhMnjwYKldu7Z9s7Uczr6tg3CBBEiABEJAIO3XdQg6YxckQAIkQALOBHDROGLECMvjM0+ePNrrtHLlylKmTBnBhe+uXbtk5syZsm3bNklOTpbJkycLBFFcbMbGxlod3nDDDfL222/r17/88kvAAihEU4ifsNatW0vhwoX1susfiAy1atVyXa1fw3MVQi5C+Lds2aLHi3Xffvut4Nwefvhht/txJQmQAAmEggDnwVBQZB8kQAI5mUDHjh2dbrLbWUCERYqm7du3y9GjR/UmXKc+8sgjOlIInv3eLJx9ezsut5EACZCAPwQogPpDiW1IgARIIAgCCHc34fbY/cYbb5Q777xTihYtmq63AQMGaOHzjTfe0KIiwuURYv7EE09YbTt06CAffPCBnD9/XlavXi07duyQChUqWNt9Lfz8889WE4SoerJmzZr5JWRu3bpV3nvvPVmwYIHuauzYsdK1a1epWLGip665ngRIgAQyRIDzYIbwcWcSIAESkGeeeUanM/KGAvnqcUMe153w6IcYOmTIEHnllVe87RbWvr0emBtJgARIwA8CjFX0AxKbkAAJkECgBHbu3Cnvvvuutdt9990nyDnqTvxEI3h6QjzERamxiRMn6rvw5jU8Ntu0aWNeytSpU61lXwsQSxHKBEPRpcsvv9zXLj63I1fpW2+9pXNEmcYIlaKRAAmQQLgIcB4MF1n2SwIkQAJpBJCGqVu3bjJo0CBrJSKJjh8/br0OdiGcfQc7Ju5HAiSQMwhQAM0Z7zPPkgRIIJMJfPLJJ/qOOQ6LIkG33367XyNAeGfDhg11W+RqQnEiu2G7MeQM9demTJliNUUfKGYUCkMVeyS/N7Zp0yazyGcSIAESCAsBzoNhwcpOSYAESCAdgU6dOgmu9WDwCkW6plBZOPsO1RjZDwmQQHQRYAh8dL2fPBsSIIEMEFixYoUYoRAV11FlfeHChfqxcuVKQcg3vB5r1KghuGjzlCcTxYZMpXUMB+HtgVjv3r1l3bp1usK6a66lRo0a6crKu3fv1iHwCIX3lJTeHBM5Os15wdPUVH432zP6jFB9Y8eOHTOLfCYBEiCBdARwcwjzRJ06deT666/XYZUo/ob5F/Ms5ijMsXXr1tXF1VCR2NU4D7oS4WsSIIFoJBCq69KMsEFxS1wP79mzR3cTyuu8cPadkXPmviRAAtFLgAJo9L63PDMSIIEACUDg/OGHH/ReECGx/Nlnnzn1snz5csEDRX8eeughueWWW5y248WsWbPEVPJEPszq1auna+NtxZVXXqmLIrmrqA7PTQiYqLwOQzEkXwLo0qVLrVB69I1q8qG0RYsWWd1BIKaRAAmQgCcCSN2xf/9+XQAOqTgeeOABfTPH3h4pRGbMmCHwcn/99df1TR/7ds6DdhpcJgESiFYCobouzQgfzMdG/EQ/obzOC2ffGTln7ksCJBC9BBgCH73vLc+MBEggAwQ++ugjLX7CG6l58+bSt29fQWVL4+2I8PT333/fKgBkPxQEUmOo9h6MuRM/TT+dO3e2QtiRjwkhSd7MXvzIHjrqbR9/t23cuNHJ2xVeXTQSIAES8EUAFYbvuOMOq5gbvEFx4wmen5h3YWvWrJFnn33WbVecB91i4UoSIIEoJZCR69JgkeBad/To0dbuyGNfpkwZ63VGFsLZd0bGxX1JgASimwA9QKP7/eXZkQAJBEngjz/+kKpVq8prr73mVOQHYuODDz4oS5Ys0T1/88030rRpU6ejHDhwwHpdpUoVazlUC6VLl9bHnD9/vhw5ckSH6MOz052hcufMmTP1phIlSoindu729bbu5MmTgrBVFHo6e/asbopzDbXA6m0M3EYCJJB9CSB9BwwF4iB8oiiGsQULFsijjz4q+IG8atUqWbt2rdSsWdNs1s+cB51w8AUJkECUE8jIdWkwaLZs2SJvvvmmIIrIGOblUOSQD2ffZqx8JgESIAF3BNKuNt1t5ToSIAESyKEEcIH3wgsvOImfQIEf6bgg7NChg/a8xA915Ni0XxDaBdBgPUB9YYe3FARQGMJEPQmbED8hgsLgMWU8q/QKD38QVm8EXtcm58+fF+Q4xTkmJydbmxFW/9JLL4m7fH1WIy6QAAmQgI1AixYt3BaIw02lm2++WcaOHatbY551FUCxgfOgDSYXSYAEoppARq5LXcHcddddTtetZjuuZ3HNePjwYX2tZ9bjuWvXrjoSyr7O3XI4+3Z3PK4jARIggUAIUAANhBbbkgAJ5BgCyE3nqchRfHy8FkY3bNigPZTgDVmwYEGLzfHjx63lUqVKWcuhXGjZsqUUKVJEFxCBVwAuWPPly5fuEPbwd4gF/hgufPHwxyAIX3311fLYY48JuNBIgARIwF8Cffr08di0fv36lgB69OhRt+04D7rFwpUkQAJRSCAj16WuONavX++6yuNrFOMcOHCgtGrVymMb+4Zw9m0/DpdJgARIIBgCFECDocZ9SIAEop5A+fLlvZ6jXeyDV6TdUC1z3759epVdDLW3yegyPC2vueYaGT9+vC4mgsJLeG23vXv3Wp6cqJrs65zMvoULF3YqlIQQ9//++0/s54L0ACgC1aBBA8mbN6/Zlc8kQAIk4DcBb3OStznWHIDzoCHBZxIggWgn4G2+xLn7M2caRihkZCKCEM2DG/mHDh3SN/VNmzvvvFN7fFaqVMms8us5nH37NQA2IgESIAEvBCiAeoHDTSRAAjmXgK8k7/ZQb3soOIiZQklY9uS5hG0ZNXh0QgCFIQzeVQCdMmWKdYhAcnOiyvzDDz9s7WsWFi5cqHN+InfT5s2b5auvvtIV7imAGkJ8JgES8JcA5lD7XOm6n7c51t6W86CdBpdJgASilUBGrktdmYwZMyZd1BCuV8eNGydffPGFbj5hwgRBruVABdBw9u16HnxNAiRAAoESYBX4QImxPQmQQI4gUKBAgaDPExeMxrZt22YWQ/4ML0xTdR3iJO7e280IoPDobNOmjX1TUMuNGzeWoUOH6uJQ6OCvv/7ShUrOnDkTVH/ciQRIIOcSyJ8/v9scdIES4TwYKDG2JwESyI4EMnJd6s/5Iq3S/fffL4MGDdLNke/91VdflV9//dWf3b22CWffXg/MjSRAAiTgQoACqAsQviQBEiCBjBJo0qSJ1QWEyUANSeh79uypL0RHjRqVTti092c8O+GF+ttvv1mbVqxYITt27NCv4RmaO3dua1tGFhDe//HHHwtEVRhyPb344ou6EFRG+uW+JEACJBAsAc6DwZLjfiRAAiTgTKBHjx5OxeleeeUVWb16tXOjIF+Fs+8gh8TdSIAEchgBCqA57A3n6ZIACYSfAARQIziiUNKuXbsCOijES4SZL1q0SCCA2kNBXTu66qqrrBycU6dOtTYb70+s8Lf4kbWzj4USJUrICy+8YLVCpfkRI0ZYr7lAAiRAAplJgPNgZtLmsUiABKKdwN133y21a9fWp3nu3Dl5/PHH5eDBgyE57XD2HZIBshMSIIGoJkABNKrfXp4cCZBAVhBATswWLVpYh/7kk0+sZX8Wvv32W6tZ+/btnRLbWxsuLCAkClXYYWvWrJE9e/ZIYmKiQJSEIUS+WrVqejmUf1B92Z5zFALo2rVrQ3kI9kUCJEACfhHgPOgXJjYiARIgAb8IxMXF6egecwMe4ufrr7/u176+GoWzb1/H5nYSIAESoADKzwAJkAAJhIEA8iiZC8cZM2boIkX+HGbixIkyffp0q2m3bt2sZU8Ldg9PVINfunSprtqO9l26dPG0W4bXP/bYY1YRE4TgI1cUxFcaCZAACWQ2Ac6DmU2cxyMBEohmApUrVxZ4axqbM2eO/P777+Zlhp7D2XeGBsadSYAEop4ABdCof4t5giRAAllBoEKFCnLrrbdah37++edl5MiRglAidwbhEFXV3377bWtz165dpW7dutZrTwv16tWzqnTC89NcoKLICEJDw2Xx8fE6LMr0j3B/VBClkQAJkEBmE+A8mNnEeTwSIIFoJ3Dbbbc5RRHhGvX48eMhOe1w9h2SAbITEiCBqCRAATQq31aeFAmQQCQQuOuuu6Rdu3bWUIYMGSKdO3eWjz76SFfVXLZsmfb2HDZsmC569N5770lSUpJu36xZM6sSp9WBlwVTBOSff/4ReJzCIH5CBA2nIUS/efPm1iGGDx9uFV+yVnKBBEiABDKBAOfBTIDMQ5AACeQYAghXf+6558ThcOhzPnTokL6GDQWAcPYdivGxDxIggegkQAE0Ot9XnhUJkEAEEEAhpNdee02Lm2Y4R44ckS+//FJfUCK06NlnnxVX0RA5PZFrKTY21uzm8xn5ONEeFeTN3Xl4kGaGDRo0SPLly6cPdfbsWX3OmXFcHoMESIAE7AQ4D9ppcJkESIAEMk4AxZB69epldfTjjz/qVEvWigwshLPvDAyLu5IACUQxAQqgUfzm8tRIgASynkBMTIw88cQT8vXXX0v37t2tiu2uI4N4Ca9PiKODBw8O2HOzWLFiToWXqlatalXwdD1WqF+XLl1akPPU2JIlS2TSpEnmJZ9JgARIIFMIcB7MFMw8CAmQQA4jcO+990qpUqWss8bNfdzwDoWFs+9QjI99kAAJRBcBh/IWSomuU+LZkEB4CWzdujW8B2DvUU0AuT7379+vH/v27RNUL65YsaKULVtWEA5EI4FIIJCQkBDSYXDeDClOdkYCJBBhBBAiXKlSpZCNaufOnSwqGDKa7IgESCASCRQqVMgqphqJ4+OYopMAf21H5/vKsyIBEohQAhA5IXbiQSMBEiABEiABEiABEiABEiABEiABEgg/AYbAh58xj0ACJEACJEACJEACJEACJEACJEACJEACJEACJJBFBCiAZhF4HpYESIAESIAESIAESIAESIAESIAESIAESIAESCD8BCiAhp8xj0ACJEACJEACJEACJEACJEACJEACJEACJEACJJBFBCiAZhF4HpYESIAESIAESIAESIAESIAESIAESIAESIAESCD8BCiAhp8xj0ACJEACJEACJEACJEACJEACJEACJEACJEACJJBFBCiAZhF4HpYESIAESIAESIAESIAESIAESIAESIAESIAESCD8BCiAhp8xj0ACJEACJEACJEACJEACJEACJEACJEACJEACJJBFBCiAZhF4HpYESIAESIAESIAESIAESIAESIAESIAESIAESCD8BCiAhp8xj0ACJEACJEACJEACJEACJEACJEACJEACJEACJJBFBCiAZhF4HpYESIAESIAESIAESIAESIAESIAESIAESIAESCD8BCiAhp8xj0ACJEACJEACJEACJEACJEACJEACJEACJEACJJBFBCiAZhF4HpYESIAESIAESIAESIAESIAESIAESIAESIAESCD8BCiAhp8xj0ACJEACJEACJEACJEACJEACJEACJEACJEACJJBFBCiAZhF4HpYESIAESIAESIAESIAESIAESIAESIAESIAESCD8BCiAhp8xj0ACJEACJEACJEACJEACJEACJEACJEACJEACJJBFBOKy6LghP+y+fftkyZIlHvt1OBxSoEABiY+Pl2rVqkmhQoU8tg3FhqSkJJk2bZruqlKlSlKnTp1QdJupfaxfv142bdqkj9muXTvJmzdvph6fByMBEiABEiABEiABEiABEiABEiABEiABEiCBjBKIGgF0w4YN8sYbb/jFIyYmRho0aCDPPvusFC9e3K99Am0EAdSM54YbbsiWAuicOXNkzJgx+tSvuOIKCqCBfgjYngRIgARIgARIgARIgARIgARIgARIgARIIMsJ5MgQ+OTkZO0tOmDAAMvDMcvfCQ6ABEiABEiABEiABEiABEiABEiABEiABEiABEgg5ASixgPUTqZr167Ss2dP+yo5f/68nD59Wnbt2iXff/+9rFq1Svbv3y/333+/fPXVV1K0aFGn9nwhOlXA1VdfrVEw/J2fCBIgARIgARIgARIgARIgARIgARIgARIggexIICoFUOT3LF++vNv3o1atWtKmTRt59dVX5ffff5dTp07Jjz/+KP3793fbPievBCc8aCRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiSQXQlEpQDq682Ii4sTeIlCAIWtXbvW1y7cnsMJjB07Vt5++20nCuPGjfOZ2xXpFuB5bLdcuXJJ7ty57aty7PKZM2cE+XLthmJlNNFcVq9eLVOnTtU4Lr/8cmnZsqXg80MT/b3C98sYCt3lz5/fvMzRz4mJiXL27FknBnny5BH878sqS0hI8PvQ586d01Eb9h3y5csnyN+d0y0lJUXfuLVzwPuK95cm+nM/efJk+ffffzWOW2+9VcqVKyeYH3K64bODecH+P5fXI2mfiki7HvHkyJE2YuclOHTgPTaG+RLzJk30/xP8X7EbIttiY2Ptq3Ls8uHDh2X48OH6/EuXLi29evVi3YcLnwZej3j+WoTqegTRudFms2bNks8++0xfd48aNYrfpwDfYFy3hdOy7tdQOM/Kj76rVKlitfL1w+HIkSOCgkAbN26UzZs362ry1atXl9q1a0vz5s2tfnwtbNmyRebOnSvr1q2To0ePCrxRL730UmnUqJHPH+4nTpyQefPmyfbt22Xbtm2Cqvco4IQLJPywvOqqq5x+AOEHMAQ6GP6ZdejQwevwIAbv3LlT/8DEDwZcOC1btkz++ecfvd+NN97ocYxgg3Zbt26V48ePS+XKlaVq1arSokULfWx3B/7rr78EVeZhOJ6nH+azZ8/W/eIi5bbbbrO6wj8kpC6AtW3bVqcwmDhxoixcuFC/PxCKcM6hEosOHDhgsTCDwMWmL8M/B6RfsBt/xKfRwOcUD1p6Avjs4HO3ePFivbFEiRJiF/zS75Gz1uBzY/8hT4Ej7f13N++Eai5MO0r4lvC+us6bTMOSxtuVDT/7aWzw2cE11ooVK/RKFKGkpRLA5wT/Q+yfH16PpH063M07aVsjfwnvK+Z+YxT3DAlJ97nHFl+//dL2jv4liP/mWhO/4bp37x79J+3nGbqbF3g9kgbP/v8Ea4O5HnHtI6337Lu0cuVKQYHuwoUL65OIxnPMvu+OSI4VQI2whzevSZMmHt9DiI5vvvmmFiztjSC0wZo2bSpPPfWU1xyiuCCZNGmSfPjhh04XnvhyfP3113LJJZfIBx98IAULFrQfwlqGWIgxHDx40FqHBSMgYnn8+PG6qj1EWRgExaVLl2oRExM1xEhP3lHwCIB348mTJzWL3r176z6WLFliVYG/5ppr0u2/adMmee+99wTnYbc1a9bol7ibiByr7n6A/Pnnnzr1ABredNNNHgXQmTNnCh7wmHQVQEeMGKGPg3/Wr732ms7rqleoPwsWLNACNbZFiuV/83ZrKM73oa3V6RZiu90nsY2ukpSjByRx4ieSsukfyfXiWHHkLaBefyrJS2ak28ffFX1at/e3KdtlEYHkLQesI0/dvVqm/5H6mbdWBrhQKn9heefKmyVXTKx8v3mxfLNpUYA9sHl2IzCk8a3ZbchO4zXzJvzEnX3FnZpluxcxLW6QuGv6ScqhPXL+nfvSjd9RprLkeug9vf7c2/eKHN5rtXHn5+zv/xSrkwhZCMf/oaQjO62ze3HFT+LY9rv1OrssXJSngHzWup8kq+vHP3atldHr5knb8jWlb40WcvjMCblv9miPp3J37TaqbS05ePq4DFk1U1Yd3imj2t4p+XPlkS///Utmqf5o3glk53nTzJk4w4idF5STRa6XJ4gjLpecHz1YUtYt8f6GZHCrQ+3vOm8ifiQcfMIxp2Xw9H3unnIuzRFhy4lDcuefnucXn52FqEGwc2CjkpWlepHScuTMSZm6PdWJx3VIJfIVko9b9tGrBy+ZJCsPpf3PcG3L1/4RyM5zpn9nGFiriy66SIoVKybNmjWjp3lg6DKldY4UQPfs2WMJexAHPQmg8DD83//+p98IhJF06tRJ4PkJL8fly5fL/PnztdDWr18/GT16tODD7s5mzJghCMnC3dj69evLZZddpkPY/vjjD+3JCSHzsccek08//TSdEDhlyhR54403dLdFihSRjh07SoUKFXRfu3fvlt9++01wPjt27JCXX35Ze0Wau74QLeHFiTt78Dz15AUKMRLiJwz7+GMQYx966CHNAu1xXg0bNtRCMM4Hrt/g9M477+g7IE888YQ/3QbVZsKECZb4ifcJIecQlf0RP+FJihywvgyiLu7iwHsC5wXDvq5hpq79ZNRjL+XIfkn8/n+S/Pcs9es/7QLF9Th8TQL+EOinfjxD/Nx78qj88O9Sf3Zhmygh4Ood5Ou0cNMpmDv57vp19Tpz18a+Dh4X0W7J+MGvBFBHsTLiqNlIUtamenqb845pfp1eTNm3w0n8NNv5HN0EcON83u71ep7edfJIQCd74PQxGbZ6lszetU6SUtLShATUCRtrAr6u8eyYMF+GMr0R5uxAriHt3p/2cUXkcqGLtPiJMadsWZ02RKwvXUlS9itB6j9np4+0RlzKCQSCnQMX798ieHizmheVtTb/eyzN0cBayYWgCeD6LZB501MEaNADiJAd4dyF6FmjGUTIsDiMCwSiUgCFyzEER7vhIgJCIMK8p0+frkUyKPPwrEQouashxNzuYYh2ZcqUsZrdfPPNuh+IkwiRHzp0qPYEtRrYFhAqHR8fr3NBVKxY0dqCwksQESEYQmCDV2qDBg2s7Zj8TRh7qVKldH4WV5H19ttvl6efflrgJQohFJ6PJiy/devW8v7772uxFefsSQD99ddf9TExRrOvNQgPCzhvfKkRPoVzcA2XgLfmc889p8VPvBeoJl+vXj0PvWVsNTxQy5YtKy+88IJOK4AUAXiv/TGIpc8//7w/TQXvAS5IzWSGCd41v6dfHQXQKHnWdwG0ZlMS8EygXvGKclmJSrrB2A3z5Xxy9ItMnmnkvC2Yu/Dw1xAyH0oBNNxzpb/nFTHtDuySxN++kti2PSXu5sclee4kSd6ySiS3ykvXsK3E1GosKcePSOLk4REzZA4k8wgcPXdKPlkZXIQHb26F7n0KZN4KtQCKa8xoTRHkKHzhd9dZlUrq7GmJqd9SYtvfpG8ImXcv1QHgUx35ZNbxOecQyMgc6I1SnCNGuldtpJtsOrpPTp53zpfubV9u800AAmgg86an6FTfR8r8FogKDpU1btw4ZGn6QjWmnNRPlgig8DhEDkxjyBdZo0YN89Ln86FDh7TgZxrCI9JuEAPx8Ga444CwaXgKujN4fsLDD96UENbs4qdpD1EPOUERfv7LL79It27d5OKLLzabnZ4hoNrFT2zEl75v377yzDPP6LbwCLULoAhhh2cnrE+fPm49THEeSFZtzhfinxEx4d3arl07+emnnwTh7EhyXbRoUd2f+QPx1oTzw7sVQim8TI0XqWlnf0a+ULMPRFVX8RNtwevFF1/U48Zk+O6772ov2VD9oLaPB8vPPvusDnnHMnKi0kiABJwJXF2hjl6x/fghWeLj7rjznnxFAiQQDgLJM7+RlH9XSdwdLykh9EaJlRutw6SokPfznz0lcuI/ax0XSIAESCAqCMRf+C1y6oTENLtWYjvfgUSdkrx3m7rxpordlSgrjotKSlz/lyTppxGSvOCXqDhtnkTWE7inTltBOqhE5QQwbI2KrqORgJ8EHn30UT9b+m4G5zNXTcb3XmwRKgJZIoCOGTNGezyak0AhIBNqbtZ5e4agN3LkSKsJwraN6Get9LGAu6oPPPCAdOnSReeptAt+EOxQ2AeG0O5q1ap57O3aa6/VAii8NSFCuhNA8QGvUydVfHDtqFKlVI8srHfNpYmqzxBWEepub+faBzwTjbm6nYMNeMEDFqH4PXv2NE31M9bhfGEQXPFo3769VwF01SrlpXLB4MXqySD4QiRGFWsUgEJBl5IlS3pqHvR68K1bt27Q+3NHEohYAnHqh0ChvHp4jjzBT9fIpWS8P7/fvCRiT5cDI4GcRMBRqabEdb03NRT09ElJ2bdNJF9BcRRXVcuLlpa4O1+RpG8/kpRdm3MSFr/P1SEOKaQ8Zk8nnnP2aM+fx5o3JQbZ/5wNaUDoAe/MhK9IwC8CKmenIHpE/abIiDnii6XurjxB4667U5I3LJNENdfJiQvOMUVKSNxNAyWmUg2J7dRXktf/zVQgGQHuz77mWrNAbn9ae2yTLzaXxKrowBMBelZmxrzct0ZzaV421fFporoWhkMAjQRIIOcRCP4XdQhZQfjbv3+/3+IYPBC9GTwxkXvBbhAo4ZINj0fk70R+T3h4fvvtt7q40CuvvGI1R/i7CTtByLm9YJLVyLYAL0y0R3i9O3P1/LS3MdXBsM4IkfbthQoVSuelCjETvFARfu3atbJo0SJrF9d8QRBecXy0hXenqwBqD38/duyY1Y+3BVR7h4ENKsx7s5o1a2oBFG0whnAIoOXKlfM2BG4jgWxBoGKhYtK/ZkvnsV6hXnopxvn60p/lbJLvsObW5WoqHSBG9p36Txbu2+R8DL4iARLIdAIxLbqoH/Z99HETZ0wQne7EpKWA59OND0lM5driuONl5Qk6SESFzNOcCXSrerncWO0KGaoK/dgL+8S2SP2Ba29dOHd+FfZ4uVxesooUVUUEj587IxuO7lHz4WaZo3Jt0kiABNwTQEG22Pa9xFG2ighC1zFPHdqrUnasliSVxkNOBuGlrqLrYA71nHJwtyR++bpIou1aBoU/x7wmuR7/TBz5Ckhsu17qZtCH7gfItRkm4MgdpwTnphnup1CuvPJu81u0d6W3Qm3mQChY1KVKQ6lQsJjEKdEUguSGo3vlR5Wj/vDZk6ZZhp9j1fXvgDptpGXZ1GjTX7evVPmV6QyQYbA5rIPZs2eH7IxRs4SWdQQiQgDF6SP821Wcc4cFIedGgHO3HetQTd1dyLppD8/K1q1by6BBg7SQiII9COlGPgaYCTvHMjwk8fDHPAmgyE/pyewh4RBp3RnytmEMixcv1p6UEBIh3vpr8AIdMmSIzjWKfY0gC46mkjzW2T07vfWNMHuYN8Zmf3sbHBvsQ22uKRAC6b9AgQLyxRdf+Nxl4sSJ2kvZ/h5h8sL+3gyCdCC5ULz1xW3RTSB/bG6pYUvM7s/ZxqqiC74MLdqo6sGweXs2iPtZRm/mnygmkCdPnnRF9rydrv1/k7d2/mxDhIWvudLeD/6/BZKv1L5vtljOXyhVUFDf36S/pkry7187DxvF71Rl5FyPfCgO5QmF3HhJX73r3CaHv6qvchp3VT+c/TGEO/5f4+4Snzv1B8exc6elQFweaah+fONRtsBFMmGj97RJ/hyHbaKPQCDzVijnTJBEGiv7Nacvuqg3EEh7X/1he0wblZoDuTmVOAVLOa48NHPnEUfJ8hKrHjF1m0viV+9Iysblervff44dtpomzfvJWfw0W04dVwVAZ0rsldeJo5wSX2kRTQC5NR+qd7WeZw+fOeFzrH0uaS7XJKTWhkhSv5XgMZoQX0I/ELE0eMlk2atu2mfU4JE68LJOcmmxCrqryVv+lvEbFmS0W+7vgQCcwnC96a/ZI3D93Ser2mWnfKVZxSi7HDdLBVB8kCCQQdSECOmPAGq8PyEqIjQ8WENY+/XXX28VOkI1dSOAwkvUGEQufJn9MU+iJIpJBGvwPkUOUuQ9dTWwQ+g3zgUV5D0Z8nQOGzZMh8HD4/Ouu+7STeERCsPkAxHRXwH0v/9S/yH5MxHY73CESwj0Zxz6RN38wXvbtKnvu55Ib+A6fuzr671159XrZhhcRQJy4MxxmbDB+4/wgircs3NCfU1rqcrjeUqFfvoyXPSVzBevm/2pBFBaziSAed7XfBUuMhAGAjm2icAI13iyul9H+eriUN9lWNL8Ke6HowqDJC2aLnFX3yoxlzQU5XNFu0Cgaelqcm+ddspjKNWLzBsYeP4MatBZ/yjfc/KovL98mmw/cUjyqB/FHSteKjdf3FR7IP2nig5N3faPt664LQcSCGTeCjUef397hPq4pj9H9foSe9XNuhhe0vI5kvTLFyKqMBvMUfESie12n8SUqihxPR+W8x88EpAnaIqtwnvKvu26T3d/dDV4HK94WfVHibApGQu9d3cMrss4Adxcuv/S9pbI6KvHFioM3Yif325aKD9vXa6imRKVJ2hRebheBymvnl+8oqs8PGesnEtO9NWdx+3F8haUp9T8X0FFWCUrJ6Mv1s6R6TvS0rh53JEbgiaA4shZOW8GPfAAd8TNplDf9ApwCGyeAQL+KXsZOICvXdu2basFUIhv/oTBGwEUeSqRSzQj1qRJE0sAtXt92r0W77nnHl3cKCPHCXZfeFo+9dRTVtXxZs2aCcaMolF4mDvTyK9pBFB3d39R5R77zZ8/XyD0QgBFOxP+jn4DuVsD8Rneo0gV4MvsbYoUKeK2uWvYvr2Rv9Xc7ftE6vKpQZ/roYG1XRgOdrxx3e9X4dHqEaRNCHK/UO524sQJK92E6dfT58RszynPEIHAx25IiWEMnksTOgT2/r/X/Faze7Z/Pn78uFPaEFyI2FOKZPsTzMAJwHvy5MnQhY9lYCgZ3tXMm/jsZydPAX9PPPfAT3w2deTJJ7lf/0G3w/9ucxPS7Jg7d25dVNG8zk7Pofg/NEAVtcADBi84+81o/BAz10plChSRt650To9kWPWt0ULwyA5WVP2oD3TuN+fVu0oT6VW+gXmpr/1CcT1idZiNFzBnRoPnuZkzMV/arxky8tbEokq7ergzR8Eikvu5L9xt8mtdrgGDfbZzxMZJ7tcm+mznqQHqI7g6MSBaMBwicyjmNE/nEa719sLEOAa4gE+wFsgcdWO1xiqVSWoEpv14yF0/5qoB9lXWciD9m51i1DVi/1qt9MOs8+cZnxvX+hrRej3iDw97G3fXI/bt0bgMh73hw4friFzUZ0Gx6TvuuEMg/MIOHjyoo4pRAyUnCMHZ9T3OcgEUHxx8kGC+wuDXrFmjvT7xT71NmzZ+C6AoaARPSoh2+NFcuXJlLSDahZYSJUpY76E9pBqCK3KK/v3337ogEcLcUegI6xISEnTRIIi3mAyxDp6aON6KFSus/uDhiotyfz0VIWjOnTtXpkyZYomfCGN/+OGH3fZh/zGEC7ixY8fqc0XIOfJ0QizFWCGA7tmzR4e9YzKH4AxDISdTRd4atIcFnJu5QASL119/XXugtmjRwm0+UBzPWLFixfT7gKJI9uNhXPgcYLyYWGA9evTQP1rM/vCk3LBhg9siU6Z/jGv8+PH65SWXXKJFX7MtEp7vWTguJMMY1fZOyZ8rT7q8ZyHpnJ1ELIEbKjeQm4s01bmVBs3/WnadTPNU9zboIa37SRF1ITld5Twape5+03IWgSGNs7foHap5M5Le9UuKlJGXG3fTQ3rur+9k03/ubyZeW6me9FZFGxCyffesUZF0Cpk+lstLVJZ7L20nBdT/PvzomrxlmXSoWEfyxuX2+r/wJeVFVEOlqll5aIcOqXQdeFE1N37aqq/25Hj77ymy9MBW1yYR87pTpbpapEV4qT/59ewDN9cNX/77l1O+VHsbLqcRyM7zZv43b7dOxHeMiNXUeUF5qOd6YazO0Zk4/m1JXjnfefuFV3G3DZKY2k0ked1SlbbjVbdt3K5U3tu5nhkljgLxkjR3Uqp36YWGfVq3t3bpo+a/a9Q8uGDvRvlwxXRrPReyngCKFg2s31EV2EzQg9mtPOw3qvydrcrVEG9zVJ2i5eW5RjfofV5YOFHn/HQ9m7tqtZZ2FWrLlmMH5OkF31ib/Z0DkfbkZTX349r36NlT8sbSn2Tr8YNWP1wIPYHsPGf6SwOFqV988UWrOfQdk5px8ODUGzl4/dJLL8lHH30kzz//fMBFuq3OuRBWAlkugKKADcQq5KKcOXOm1zB44/2JPJL+ePps2rRJ3nvvvXTV1SGkwux3/uxV2lFVHB4V8CJYvXq1HtfLL7+sQ8ixH9YhTP7//u//tEclhEr0tXfvXsEYjbCItjAIpBD08OW47LLLUld6+Dtp0iT58MMPLZHRNMOXDl+qDz74IN1dObvY+uOPPzp5RWF/CIwwjBFeZRAxIcjCIJAi9N8uSOoNLn8gHuNLb69Ujx8hGBcMIvb9998vN9yQ+k8N63CsadOmYVHfBUEeTXfHwUSB6vONGjWyPHI7deqkvX2MZy4EUAi79mJVumPbnwULFlj7v/HGG7YtXCSB7E0AF3M9VLEPGPIX+St+Fs9bSF8AYr8dJ9JybuE1jQRIIGsIbFM/xJDzDJVym5e52K0ACm8VU60WPwJzujUomaDFz4Onj8sQVfRo1eGdcpX6gezNEP5eJb6kbvLnno1um6LQxnpVDAn5l68oVTWiBVC3J8CVJBAOAupGQ9LMr8VRqKgk73D/3cFhU1SqDm2qUFFApgopJc2bLHEdbpOYei20CGrC600/yNPbsswl+uX6I3vNaj5HCIGCquARxE+Elv+xa62MXjdP2qp8862khtcRVi+SWjwXczkKHrmzBXs3aQG0ssoJWkJdxyJFVCCGcHyIn7h5+NKi70OSSzSQ47Nt9BGApvHJJ6kRO4iagE4B3QcaC1IKdu/eXRo0aKC1D0R6Hj58WKAdffPNN1priT4i2fuMslwABT6EwUMAhbCIkOlSpUqlowqxDQIpDOHvvgwuyA899JDlQVm/fn1p2LChQNxct26dFi7t4dWuxXlq1KihvRUhvL322mta/ITnKVyc4WnYsWNHvW7ZsmV6KPhiTJ48WYcdIqQcHpFvvvmmNUx4nj7++OP6jkDt2u4v2uFR+c4772jhD+OFRyS+QMbA6LHHHtPh7ka8hWeqPRUAxgtvVDCFpyr2X7JkifZIxRhhCIM3XpzID2r6Msdx94y7GCakEuOHNyb6QGgZQk8RqouxY/0TTzyhu4CYawpDwfvViJ/ly5cXhNGb6vU4/k8//aS9Xs2xERYPwdiMGev//PNPPQYTzmbammcjthpR16z39oxx33LLLd6a6G34PMHVHePZtWuXXod9jx075nVffG5pJJBRAv1UaCbutu9Vd9h/UNUx/bUqhdM82ymA+kstOtshjMv+P8/XWSL8zYT0+GrrazvmTXPTzVdbbPeWFsWf/SO9zZmk8/K9qkCLCuYdlVcfPFQmbVlqFSjLq/JT9q/ZUvDjD0Lp1xsXRvophX18B04fk2GrZ8nsXeskyc88gMgnl1uFzsIwd3qyvaqKNQRQ5J2jkYCdgK9rPHtbzJcZCRu294VlzJn2a2DX7a6vQ3q9qb4TyTO/dT2E82t17R9TKVXsStm5yXmbH6+SF/wiKS27iiO+qMT1fVYSR72sTjpV6IL4iYI6yHu+/9Qxma88QGmRRQCft3m71+trUn9vyuMMqhZOvSnlrcDRnlNp8zXm5UAE0DblasrFF0RWRD5BCMXDk+1W0VQQSmmhIQDnsUDmreySggV1Zw4cOKA1mu+//16QXhAGZzjoP9A8IIBeeeWVgkjXZ555Rusen332mV4ODV32EioCWS6A4sNkN3xQnnvuuXSiHLwcIULBM7Nly5aWGId94XEJkc8YvAlRNR2iIwyehRA08QMQ4icqvrv+EDTinumjevXqWgDFa4SLI2weSn7p0qW1cIcLHYzTXogJfdx5553St29f7T1qBFAU2cH4MCnAIxXeku5+WGLCQNVH5P1ESPi7774r8OiEQfRD//BeRTh/lSpV9DggOtrzXcXHx8uoUaOcROR+/frpOxAff/yx7suEleMFQutdDV/cmjVrOq3GsSF0Qnx+8skn5YcfftBV0bEeOVMhOsJbE5NA8+bNteA6blxqyDfuhJgwfQjD4IZz7dq1qx47lpGOwJ6DBp6uEDyxr8m9gvNEmgSE7Lsa+ocHKAx5N/wRddEWgjGEZX8MY7G/b/jnH+0/1P3hwjbhJVBPVTtGRUzY2A3z5bzynPDXkADe2A5V+IOWcwlgvgrpD+QAUXKudAb2gxJAayrRrU6x8nLTxU2kc+X6su7IHoHnZ7XCpXTRHnjWjFff+X+Ppaarce4hZ70K5MaPIWOqvuP18fNnzOp0zycubLPPl+kacUWOJBDIvBXq+RXHDuT4mf0GxTRsJ45iZfRhkzekOoMENAblPZr49XsS12ugxJSrKrme/VxStitHj/x5pWaRslr8hDD12tLJFKgCAps5jY+qwnGfrJwR8MHMvHz8vGfRERXhjQU6L99UvYnZVUdO9bBeuV/4VJ3DXCXk0kJHIJB5K9TzZujOwrkno53Uq1fPEj/RAgW8oX1s3Jh2kwaOaHAcu+666/wuMO18NL4KN4EsF0AR1g3R0xhCyDt37iyuHpkm/B3elfAmhPBmDF6YdgEUnqR2W7x4seDhahCzzI9CiI2jR4+2KnrZhS7sh7ycffr00QIltrnzZoFnJMRPVytZsqQW7SBmwkMSIqY95N7eHsIsxF4IoP3799fh6vDitJ8vQsZNpXoIphAfzWssu/OgxRcUxzaFj3BMiMIQdl0NLOAV6SoighW8R++991658cYbteAJz00zKZh+IJAag7AJz1mImLgz/vTTT1t5TG+++WbNHG3t4ideQ/zEZwB3UpASwBjG704AxefD3HGCWzotZxDIHROXoQqR2YHS1RXq6GFuP35IlqjK74EYksjDjqgwz5O2C8pA+ojWtqgCfVZ54tFIwJVAPvXZQHi6/UeYa5uMvoa4+eqSSdK+fG3pWb2xFjwvV4XNjCHsfeSa2W7D400bPnsnkF/lBzXmXQBN/bGd94K3qNkn2GeH2pGxH8HS437ZgYBDCZaxnfvroSb9M09SNvwd1LBT1v8t5z8eKCjq6ahUU2ISakmjCz1tOrpPRq6dzfDloMgGt1NmXFObefn4Oc83pXBtlqhu9sepyKc8cbn8PhnkdC6cJ7/f7dmQBPwlYDw+K1as6LQL6qxAL9mqUgVC+DX6EbQfPBDNC/0klBXjoXcsX75c60lwDoROBI0F9WwQZQvtJJTRCE4nHCUvslwAdccROTXtAijeaHj+wSAMuhq8+PwxKPL4AOOB8HB4II4cOVK7KkPghDcqPqyuBg9SiKoQPe2eo+gPAiI8MmHuxE/TF8Q+482JuwSeBFDTHs8QM5FvAhXeIQgag9gJT1hUdodICg9PY6gcjy9hQkKCWWU9o0qZXQB15/1pNfaxgC87hE5442KMOK7dIMzCExOh+I888oje1KVLF6eKlPCWBT/sjy+w3a666iotliKvBgwTCiYWfOHh8etaUMqcFzx3MRlFs/WfOSKaT8/nuVVRYaGoGIkwGtxJRngUcrghSf7fB5w/hz47i/AGEDCN9+f3m9O83P0d9vgNC5QHWapntL/7RGu7OJUP8JqEetKsdHUprXKqongKvEsQujV12wpZtO/faD11nlcABAqpvGbvNr9F//gKtNBMAIexms7YuVrwuEj9aCtXoKggPH6Xytd7muK8xSjYBfsPZ283gE4lpgqgJlw+2ONhjhnc9EapVKi4jFLi9fQdq4Ltyu1+U7f9o+aq1OtNtw28rMzp1w1e0HBToASKl5W4fs+LI08+STl+RJImDQu0B+f2R/ZL4ogXRdQNCEfpSvJWkxayT13X7VdpL2jhJ4CbcI1KVdEpV3BNfVTdMEc0wlcb/1Lvw38hHwBSvMBOXph3PR3gVOI5fY0PUdaYrzkQOZ1v+vVT05zPJBAyAkiDB+3DaD6mY6xDVC6czBAVDAHSGLQQOIChQLYRUM22YJ7Rz9ChQ52inN31A40I0biozeIq2LprnxPXpc0qEXT28+bN0958+FDBkOcSHoIQvRBO7svq1q2rP6AQEOGW7M0Q6o2QbxhUencCKLwhkb/y66+/1u1effVV/WFH6PeIESOsL4M9tyc+fKjkbjcTzm13k8aXw5uhIj0K+uB9GsDgAABAAElEQVRL1atXL90UYegII4dnpb0oEfKDQmT0ZBivCTW/9NJLtQDsqS3W33XXXfruArxrEYKPOwow+5ghwuKB9AKff/65fPXVV7oN0gXAWxditjF3wiQEbTwggMLT848LQvc999yjCyfB2xMPePkip6vxQr311lstvnjfvvvuO32YQL0/wRATly/D3RUIr8bLFO1xN8fc6fG0v/Ew9rSd6wMj0LEiquA21+zhQYW8cEWUcNCi7CW6mMjY9X/KFCVmRYu1VrmMYtSPalyELtwXeI6taOGQ0fOAkPzyFd2kZP543RU8Cw6pSsrwFkAYMh7wrn1v+VSd0D+jx4vE/TFfhfIOdKDn6GuutPcXSPiUfb+MLkPAQt45/AhEFdvMtCMqDygetNAROGHzMMqjxBX8oHZn8AaHnU1KdLfZ73U3XdxUi59+78CGEU8gkHkrkLb+nDj6C6TPzJg3HSrnZ1zvp3X19pQTR1OFywt5O/05J69t1PcvZddmWXmostdm3BgaApj37qnTRpqqm8IwXBdB/ES+zCalqwkiEl5X1dNXH94VmgNe6AXe+MXzFRIz73rq3Ail53gz0BOiiF0fyLyVldelgQCEJgUNCtoONBnUMjFWrVo1LYBCjzACKOZjFEkCC38Kd5u+PD0jx+j777/vFBFs2mJsdn0CKQNRNwcFmlB/xl6g2uyT058jSgA1eS7hZQnBC56XMBP+jvyREBHdGT6IJh+nKbwDwc+X2dvgg2v3PDX7QoQ0BXywDsWUXF2LkcQX+Te9GULTcQy7AOqtvX0bijcZg+cphDuY3fMS+Ul9GThBTMY4/DHTP+58IJ+FJ8P5I/mvEUDxpYdBODRmZ23WmWfcGQFXI4Ca9eYZRaGwP8Lt4RUKAdSY8f4EE3iOBmJ4H40A7m0/TDoDBw50aoJ9fb3n8E42uWidduaLgAlApOpT40ot4sxRhTC+WDdX/6BFzrxOlerJbRc3k95KHIXn1MydawLuP9J2cKgBtSl9iR7WnNlzJGn9bompmfYPN9LGG6njUbKfPFT3Ki1+/qcEJoTUQeyEgI4L8BsqN5CuVRrqi/1uVS6X7zanT5cSqecWyLgwR+PGXFYYLs58zZX2ceGGmsn9bF8fzmWInqgce2mxCuE8DPvOBAJJi/+VlL1H5WBFdf3RIDVneAFV1dqTAIpqxrDTHgRSf4Zcp2h5uVb9H6JFF4FA5q1Qn7lrpJOv/pELHzfdw2WOOk0lrucj4siVW1KOHpDzo14RObAzXIdjv2EmMKB2qvgJ4XPEylmyYOwkOXn6lFS4uKo80u9uqRRfXF07XS2P/Tk+pOlgkJKpspSQgqrQlSdD0U/jke9p3va0L9dnLQFcZwY6d2XtiP0/OhzNUMAZqQD/97//Sbly5fTO0D9++eUXne8Tzl8waAvQs9AmV67Um6x6QxB/4EwG5zsYBOM2bdpIrVq1tAMXnLig7aAwM6KZ8UC0rDk+9sP1P6JyaWkEIkoAhchlQr3xZkMARaXxOXPm6BF7qv4OURT7GgEUHwKYP19AfCiM4UeXO/OnH38ukswXwOTrdHesQNeZ4kLYz1N1dHufxnvT07na22LZ9O8PA3csA7kjbTx+XceA1/jCw7sTBZ7+/fdf2bRpk+COCy72jACKSQcerrToJNA54TLtDbnx6F75bNVMlWMt9UIfQtaUrctV+OhF0rZ8LbmyzMVRIYBCiClZKPXzPHfqb5JSMmP/QKPzU+H7rC5VRWZqFk29SPn4n99k1eG0H2zIM/XNpoUCTwOEx3dRQuikLSonmfpBQMs5BJqrOaNvjRZSSFUcpkUBgcPqGnDvf3L4bNqNXoicB06nFsZ0PcOCShyFeQuTd93H/hoVq++7tJ1elaS8PpA/lkYC0UQgpvn1EntNP30tnrx7iyR+8X+qstiRaDrFHHUupfLFKy/PqvqckSZp1vbVkrRlj369I2mTusb+Xd5o1kvn02yoPEFnK6eDUNmRMyd1VwUu3Hhy16+Zk7HNV6i8u/25jgTCQQBiJrwpv/nmG+nXr592/KqsUvkZj1d4XcLbEzoFaqTA7NHBwYwJgiYqzcPgjAZBEzVcXA3OcYiAxgNjRJrBJ554QjvdDR48WAumxjvVdd+c+DqiBFDk5TQCqAmDR8V2CJr4QLnzzsSbBs9A8+HDa3haoiL5vn378NLJID5CUIUXJgow2YVAT+IZvBpRuMgYXuMOh/2DhLwMEONQrAhjh4clvCcxBng3ou2uXalhBHZvTtOnu2dUs4fnKY7tSYC0u2DjWAhthyGkfNq0aTofKMaCdAAIQd+6dave7ulc9UbbH/SPfdAHikTBUADJ3XhWrUrLd4V8p67FqBBCbp8I4B05duxY3SfuZhivUazAFxyMcVcFnqGXXHKJJYBiO+68wAMTk4x5nwMNf0c/mWlDGqd6rUKwt4vFmTmGSDsWvtt2t32Mz9dns3qR0vJVh/s8nkptJXZN6HC/x+3ZZYO5eYB/fri5c039a+TW1rd69ILPLucVqnHCs9qe/xk3SXyFmTzX6Aavh0fC/S+vusdrm+ywETcO7YXzssOYPY3RzJv2yAdPbUO5vmjeghE5j+A6w9yYNOcbzR4X5hy9PQ+o01bwgCFX+7uL3pUV2w9pTuCFueH1pj29daG3VShULMPveaw6Fqx/rVb6oV9EyB93ESm8Hkl7czBnYu7M7nZq0Of6FBAVhXkz1BZTtrLkfmZUqLu1+ptgLYVuAREF9t976Bm/Ibw5XoTu6JHdUx8VOdU+voo8NHquHmjlgsXkubqpnvNYcW+ddvoRyFn48/+zYckEv+bbgfU7BXLokLfF58Y1IiWzr0dCflIh6tDd9UiIuo7IblCk22gOiKaF4Gk36ErvvPOOtQq/9R988EHrdTALSL+I/93QcT766COn0Htv/UGshVYCoRb6E7QrCKK0VAIRJYDCgxEiHT5AmGyQ+9OEv0Mgs/+jOnYsLTm2XQTEaSEU3AigEBGMOAph8s0330xXcdx8GCDaIb+Dq0D55Zdfmib6ecyYMfoZHodQ/mEQcVAhHRXtXQv6rF+/Xrcxf/BP15cNHz5czHFc20IQNeeF8HxjCA/HOPAhx772gk1og1wQxvzxWEVb9A8BFOeEfKcwFE9yFUA/+OADmThxot6OPxAz7YIm1kEQxftoDF9o0yc4LliwwGzSKRDwAgI4DIJoq1attBAKnosXpw9TBX+kSYhUy//m7dbQ3GciszbnmAUE5LoG5XplU7SUyAmVlN2W283AimnSUeJuGCApKh/V+Vf7qTK8yWZTtnzOhR8YhS4SM3/kWvCzODb+JF75hPBM+7RuH8Lesq6rRsp7AaI5vA6mbv/H7UBKqHxUH7fso7cNVpW5Vx7a6bZddlxpBMTsOHaM2cyb8MkNuV9ufFHJ/fRINVUkS/LSmZL080iJadRe4jrfISn/HZLzb9yZKdii5buWKbBsBxnV9k7Jr7w3h6qIgFm71lpbko6kfn9xnbTlyD6pUrS0/LFzrQxZ7fxjBTvkU97fQ9v01+GWn6+dI79uX2n1488C8k8jdcKOE4fk6fnfyP9a99M5ZEeqIki/hbgIkj/jYZvQEMjO8+Y9C8eFBoLq5VaVWui6ypfp/vB5HrVmjhV9E7KDsKNMJYC0UaPbDxCEmb/198+6eGjKubT8x1vUXHbnn6ODGlOnSsjT30Ln0PZURLBBiUryZIPO2mnowTlfysEz6T3ze1VvrFITXS6oFH/XrJFBjYU7ZS6B7Dxn+kvKiJ9oD20JD9xowk1WY3gN4RPOWyiO7U96QrOv6zM0HYTWw/r06eO3+Gn6gUMRCmC/8sorOiT+4YcfzrJUWGZMkfIcFykDMeO4/vrrdZJXvP7555+t3Juu4e/2nJyuHmMQ7SCQIQksBFTkhYQoCCUchg8mvAUhtg4bNszypli3bp1Wyo2no26s/qBaPERHI0TgNTwuEhISxOQbRVvjoozxdOzYUYuH+CLAewviqhFt4X0K8Q/b3BnC/zF2CMIdOnTQFevhBWaKMGEcONaLL76oPUvRD/pDKDiOMWFC6v1T3KFCFXZ41iIXJ3JnQhiGQdSEV6ev6mA4RyT8Nd5o7sY7fvx4J/ET40HSXbCBqAkvTRhcxvFFdOf9OG7cOJ1A2PSPgk8QXY0A/tprr+n3CeK4sW7duumJwQi9s2bNktmzZ2uh1LTx9QxuyJXhyyAuI30A7naZO4GYmPDwZt64eduP2zwQOJzeq1u3VD+CYy5vrxeT1/+d7cVPKVJCHEr8hOF7SguewGKV7xMPb4b8ssb+PXbALEbVM+Y6X/OV/YQxj9sv6uzbAl3GvInj+2uZNm9iXMtmS9IsVUSPuez8fXuyVbspG5bIg006yxWqyjHy/7qmt7hChYEi1xzy4C3el3qt4u8JlshbSG6v2VLv+8k/MyQxm9908/e8c1K7QOZMcLE7amSUE+ZMzJ1ZZfWKV7TET6QZ+lIVmaRlfwIoCgnxE5+ttYd3WycEDzP8Jtx1+j85aq0N/cLfB7bJ7pNHpWyBIrp46Y9bljodBFLSlaUv1usW7N3otI0vIp8Art8CmTeNk1rkn5nI7bffrnNpIqrXpBQM57gPHDhgea7D+zQYg971+uuv63ok0GPchc8H02923yfiBFAIdvAmxMSMUHVcAJQoUULnNLDDdq2wbt+GNxvJX+G2PnLkSKlevbqTpyG8QBE2D49FE0qGavDIK4kQ+aFDhzp5OKIaOkRRI4DefffdVhGkIUOG2A+tx4pj4h+JMYTV2AvtwG0awmDz5s1NE6dniJ9wXX7rrbcsgRIinxFA0XjGjBnSo0cPHVKOkHSIngi5N0WLEDKOnA9IBwBzHQMmJxT2wcObQWREhXXX0BH7PqhMZjd4YZovKqq533fffbpaPd5TeHLi4frD2p5iAH317NlTSpYsKXXq1NHV4RHW9vbbb+s7KXjPMB6IvUb8NMfHnRJ4ivprCMG+5ZZb/GqOCwOER0GMhmEMJt+sXx2wUWgJqDtvjrJVxHFJQ4m5tJnElKooKft2SNKMr0J7nCzozVGuqnVUc9PCWsGFkBJA5e/uVVML7m06ui/oPIAhHVQYOsONG3Pzxp/uESXgOk/7s5+7Nvg/HpFzpcphl/TNB+6GzHVRQmD+9nVyc71Wuurwk6og0jvLfrGqvV9SpIz2VsKpztm9XuUMTc1N58+po7ja/XXbS/643PKVyqG37fhBf3Zjm2xGIJB5C/OlrzQsgZw+rjEDERIC6dtXW/xfvF158sH2nzomSw9slRq2G4Wu+59PTpTN/+13Xc3XEUigqBJAYSj6hqKhyJt/o7oGKn1das55bDtw+pjyrJ/llDMd60NlENTvqt1auldrpL3n8fmCxarPHTzqS+aP1zeWftq6TK/nn+xDAHNWIPOma0RpJJ8p9IzMNONxCsc6V2c/f8eBm3LQvOBMg8hcCqCp5CJOAMUbDMFyw4YNlscIwqONCzCGjS+WPb8kchvYvSkhPkKlh8cntkGwhKiIuwxwIUYoODxIjRcpQtLhUfn9998LvBlxrHbt2vn72XJqhzsfyAdqBFCIpnA9hopvNwiVngRQtIMHpd07091dYAit7733nj5XhH/juDBchGF/iJ8YD1jBg9IUiUISXRx/yZIlAq9JhKXbq7XrTi78Qf5Sw9KsxzkVK1ZM8wRf0y+2g+UDDzxgmurnF154QVdtx3sAURs5KOCVC4HTl1133XXy6aefWheByKWBsPjJkydrERj7oxgS3lt8ZjAeWs4gEHvdXRKrwt6NpRzcLeeHPq2u6vz/EWv2jbRnR5Hi1pAogFoowrJwj8odWCp/YX2xPWzNrLAcg52SAAlkDQEUyRu9bq48qKoZo7Dcpy37ytoju6VInvxStXBJXVgP4uWX6+YFNMAbKjfQgtD6I3tksiqcRiOBaCLQRhWULK089GAQo15o1MXr6UEkfWjul17bcGNkEEB+TtiJ82elY0WErDcXzJP4XYjfUmWVA04JVSTp2cuvly/U3BloWhB/znLO7nXSrEx1Qc7+xy+7RraqOXjfqf/0nIq5GTZ8zR8eC9f5cwy2IYHsTgDOXzC7xhXMOZnUi6idQEslEHECKIaF6lXw9jO2aNEiwcOTrVixwmkTvBq7d+8uEM9QhcvuvYjktPbiEBBcIVBCLLz22mu1AAqx0TV/pdMBPLyoUqWKDveGYIh+0Y/xMMUu6B/h7TBvnjjwenQt+GQPH0QIOc4JRZLgkYi7J4MGDZInn3xS943jwmsVeSeMt6TeoP5AeMT4jNcjxEQIoN7CbOFhCoEVofuwp59+Woex4063nROEV4S4G69T3Vj9wTh++OEHgRCKMeOYJrenaYNzatmypVXRHYn5YXiGCIvjYAK48sortfgKAdQYPH6XLVumBVBXodm04XM2IaA+Q9rUZ9iXOQrES/KuzeLIk09E5XhzFC8ruR7+QBInfiopG5f72j2itzsKFdXjO/ff4YDupEb0SYV5cBc+OSo/mf+GC//mKocfbOLmJbL9eOpNJP97YEsSCB0BfIYD+fyG7sjR3RNSYLywcKL2LEKho0YqHB6WrELWZ+5cIxM2/qU9ofylUCW+hPRQnktnlAfVpytnZOl7ljsmTs4p7zsaCYSSQGX1GadFJwHjAVpMCaH9araQFQe3y6d//yqHh/2qT7jEJZXl0Scek4tV7nTkgF2uQtb3KY/QUBpSkSDf+i3Vm0r7CrUFnzfzmdurhNDxG+bLogBTkmRkfHlUGpSzSZxHM8IwmvaFdmJPuZeRc4O+gSjjYMwU24aDG5z/jJAZaF9I4wdzrZkTaD/R1D4iBVAIchAqIeRBVMNzIIZK8njAqxNiInIfwOANaRc/r7jiCi22Qlj755/U4hhwFQ7UfduM7d1339Xh4vAkRZi7MQiAtWrVsvJvYj3G4sl8uScj/ygEUPQB70t4dNq/FLly5dLCqF2cREg88mpCAIVBoMUYvQmfZnxgguJQRgDFehzfCMuGGd6nDz/8UHtnNmnSRBo3bqxTF2A8CKcEHwihYA0vUnyZTV5UCL52N3jkPzVm8mxAWMV7hUry8I7F2PEa52Q8gr1xNf3xOTIJxNRrIXE3DZSUk8dUEaO+PgeZOD7tJokUKy1xNz4sMZVqSFzfZyVxyDOSsjP75g5KmjZG8Fh0AhhifbLI6Q2ala4uD9W7Wo6dOy13zxrlEwfCrAbUaSMty9bQbeHh8MO/S3zuxwYkEA4CCDcd3PRGqVSouCoyMlums3iOX5j7zxzhVzs0gofRE/Mn6JD1BPVj+5z6sbtH5aE7mXjW7z7QEILjA3WvkjiVQw+FjvaHWBjwZzDty9fWIi4Eg/jc+eSoCt1fpzxRv1JCLryoaCSQUQLDVs8SPCLRKqqbGP1V7t1A7PWlPyuB63wgu0Rt21jl5QnDM+ZApAU5p1LkGDtw+JC8/fcU+aDFbVJA5ddHmPr/Vv5uNnt9nrrtH8HDH4PX6VgldI5Tj7IFLhIIsphP9ylv4pRMuK1UvmBR6VWtsRZei6tCmGcSz8vmY/vlFxWeb0Ly/TkPtok+AtApBg4cGJITQ70ZU5sl0A4hWELngBMcHNFQgyZQW7VqlU7viP2QXpGWSiBLBFDk2DRmwtDNazyjeA+8OB955BEn8RO5JeGN+NBDD+nmyBVqwryRi9M1LyhyTd5///32rp2WvXmWYgyu/Tnt7OYFPqAQI+GlCIEPijvEVAiRdjHSvivETBwHYuLVV1+tNyFXg6tBHDTb8WUwOUURHmtC2s0+yP2ZkJCgc1XCgxJfINc+sc4ugNavX1+2bt1quvD6jDQBEC4RNo8wdnyh8F6gCBMMOTLxQOEp3PmA0IwiVvDwRN5SPGAIiTepBsDbuGZjzBBVXQ1tjEFUhTVr1kynG4BQHoxhfM8//7zPXWfOnKnFW7vAinFif2+G9t68fb3tm6O2FS4msaqCe9B2aK8kjnlNcj36kTgKFpHY9r0k8YtXg+6OO2YfArhovqNWK78HjKrPAy/rpMNhsRPCV8erHH7Rbpgz3c2rns472DnVXX8Iq/M1V9r3Q2RDVuW+s48js5ZvuripFj8z63g5+TinlNfmmsPBp8rpXeNK/WN9ifIqtVeezwymedTcdY+6cdNU3fCBoXATxM8iKqdfk9LV5PKSleX1pT/J6gycX2acR3Y6RiDzVqjPC9eY5lrXn76NU4I/bbNzm/yxub3mI3V3brFB/kZw11d2X3f4TFqaqF+2rUhXGA7nd/z8GZmtwtSvqVTP8swM13nDxWnXySP6Ea5juPZ7dYU60ltFAKEYFAzV5uEFipB8PBAZMEKF4EOkpQVGABoFtA1/De2zuyEiFjVJXH/vI12gSYkYzDnimh3aCdIVQjtr3bp1QP1hTNBnYHAey0hF+mDGH8n7pFeZImS0EOTwoUFRImMQAU2xHHhUNmzY0GxySjwOb0UUGcIH0VQRR0NcyECkhPAGg9ekpx95po1u6OcfhJ3bx2t2g/hYt25dnasS+Sx9mbsLLvyANEIdvghGADWCnD3UHueFY7qKnvbjGq/KYC6YsG+FChXs3clzzz2nv6TTpk3T6QrMJID+UZkdD3z5kNrALmSaTjABrl27Vr9EzldvhmJVxjXdFFvy1t7bNkzSt912m7cmehtC6z///HOndtgXF6jeDJ83w8Jbuxy9TV2YxvV8RBz50rx+g+Jx6rgkr5wvsU2vEYfyBKVFPwHc9rhPJcyHl4I/BrH0qQadBWGwuLD9Yu2cHONthx/SgVyU+sPT3zb4/+VrrrT3hf9rOUUAdVS9VK5VPzJpkU+ghPISukr9cIYVVHPOY+pGiquhKBIMYZ11i1dQN/FF3ls+1bVZUK8H1E4VPyF8wvsUIaLwYC2nvKceUjlOK8UX18+P/Tle5/cL6iDcyYlAIPOW044heBGI+InD4cduoBFzIRhmpndx4MxxmbDhL6/HLZg7r3ROqK/bLFU3K3Djg5ZK4PAZHVqkX+w4cdgjll0nUn9/l8lfRJV8U9GYmeCV6XEwIdxQrXApFfrfUuV/dujidfBuRR5ovL6iZFW5u3Zraaty4J5UOVLhnUoLjAB+z2flvBnYaN23RgSr0VnsLRC5ijon+/fv145dvXv3FmgWRlOBBvT333/L8OHDtU6BosxIG5gRQ+ElaCgIg0cdG+goviKFcTzoJHCIW7lypT486uHQ0ghErACKLxCUboRM280ImvAo9GTIIQoBFGYqaGEZFcnxoR03bhxe6ueiRYvq5VD8MeInvBIRAg63ZzxMODe8Io0A6u0ixYSFexqT/ZyMO7M9rwO2X3rppZ521+tNHwiFD5XhLgUeEI/hPg4PW3j4mqrpCFNHHlB3leftBYzgMerNvvwyNdE6vE8xSWUXOzUoVUDFPwZ3Ind2OY9QjhP/TPBdz61uTuA7gRsSyO2Z+3Xn732gx3TkLZDhPgI9ZqjbQwAqqEIXminvY1jZevUkpXnzTLuwmBDqEwpxf/AYx91RfJfMZwfhoBM6ePb6tw8BF7v9lecoHtFm8KC0p3vJzudn5k3cOMNckVnmUF7pGZ2Hghmrr88kPuv2G544BoRtewqZYI4bLfugaMAvx3+R7eW361Pq3qS7Tpnj6WZ3sOftrSI2+kQ6Azxg/s5JurEffxB+P0AVb8PD1QqrAiIj2t7pulq/xg1ZE2ljGvB6xJAQPWdi7szuNqTxrfoUMF+6czjI7ucX6PgbKs/o0a3vtNJ2mf3hLBJIVITZL5qeX7oiNaQWvwnHbUzSp1aiRAnpemVXK7Ua5puvOmRu9evMYow5+s1mvdwe7rrKlwkecORxdWTJ7OsRtwOMgJXurkciYFgZHgKuqVB/xNUgPuK7goLMECNdDY57iGxFKkcUfEZKROgzffv2dW3q9+sEFdE7YMAA+eyzz3Q0MUTXBg0aCJ49FdNGEXC70xYib6FN0dIIRKwAiiHiQ2QXQPGDDnkocSGLD5cng+hovEftoefYF27KdoPIMGPGDO1Ziu2Y+CEeXnbZZdpj097WLCO0G6r+xRdfbFZZzwjPR5g+LqIQKo7iPMi/CUHU/qMFgh8qs6NqOSYQu0clRFpXg0eMEf6MFyzaGOHTvj/uWkB4RI5McAAP3C1ACgGww0WwEUDdfcFdj+36Gl8qjBEX0rjzgf7Rt3GtxsSBnJ544M4FcrFOnz5dd4MiSJg4XL17wAOGfc2PdwjH8Ao9ePCg3oa7H/CC/eOPP/RrFHJy/UGMfkePHm0x1w0j5E/+N2+3RsJ70ako8pRJkLj73pIUFZKTvPBXiW3VTVJO/CfnB/ezWGHBkVBLcg0YrNed//RJj/k9Y7vdJ7GNrpKU/Tvl/PsP6vbZ+U8tNXg8+rRuL4sS18nwP9Zl59MJ6dhx4Tq4SQ85pe7S/7ZjtdxQpYHHHKCo8v6yutBHqOjRs6fkDRUmipyAOcHMj+Hseq5m3sRPs9SfZ+E9k5grO0tc5zsk5b9Dcv4N90JSqEYQe/NjElu3uSTNnSQxl7VW6TsKS+KkoZL81zSvh8jvZmuk/0/BHJZphmw5tVO9whet+1kkRNMmPM1bX8gb7OlcblQ55fLG5ZKF+zbLBpWXUzmACsJMM2p3qhs17ZX36bIDW+VNlZ/Pnd2vvOEvUnPcInVs5pF1R8j/ddl53jRzJs420ucF/98R/1vGqOvIuI69JUXldDz/scrjp64HES3iOm8mRxGfQOZX5ED/rHU/nT/45y3LdB5OTffCnClyTKb8OVr6qBBxhMAv2LtRPlwx3f83IIJbFsmdX4a0Sf0t9j9VwG7O7vVuR/t/jbtLdVUE6rtNi+S7zYvdtuFKZwLZec50PhP3r+BhD09MOJ65Ez/teyHqCdoHUhciMjYjAij67d+/vy4AjZo20HDgZQpnMU8CqLkhDs2nX79+Wouxj4/LIhEtgEKIhGBphEMjZkKc9Cbc4Q3Hhw8GgQwfBIh18Ao1OSexDWHNzz77rCBBrN0QYg7Dto4dO+pl9GlszJgxuqARqsfbDeEqXbp00atwrBEjUhP0v/HGG3qdvVq9a+5T46KMhhALH35YFXS5cA5YBwHU9AeREIYvofEkhPiI9mgHz0u7zZ8/X79EyoCnnnpKli9fbgmQrtXm7fvZl5Hv09hPP/1kFq2UBB999JF0795d5221Nl5YwDEXL16s0wNA7MXxXQ3r4UKOCQYCM+5WQADFHVp4CcIghBrxE196d8mAIYCCk2Huehy+jiAC6kdiXK+B4lDPqNwueT3nU03Zvl5Szp7WFd9jrrhKktwVOCp0kcTUaaZPMFm1p0UvAeRtevBCIZIhq2ZKvgthp57OGMIAxE8USXpp0feCKqM0EshKAhA8IX4m79suSb+O1QJoVo6Hx/ZNACGRU3yImTdUaSh5JZesOrRT3Zhxvrb0fQT3LeCt3qpcTb3RW5+oSE8jgRxNQBXEjG1/k0aQPEdFEinxk+ZMICklWaaoQj83q9zTzcpcrOa05XJE3Ri2W4G4PNKyzCV61foje+2bsvUyCh8ZW3/U83khJB4CaJ1i5SmAGmA5/BnOZxAf4dTmj0F7gvMZImKhY0DPyIghuhnpFL/77juZMmWKdjLz1F+jRo20jgJHMbuDnKf2OXF9RAugEPQg0Jmwd+O16C38HW8i2sFbEIY3vlOnTtp1GOvwQTQGb02ES8HrE8eBCLlzZ9o/Syjt+AAjrNvkdzD7oso8PFIhRhrhEZ6L27Zt056jUPxh8MBEmDbUengmGoMwC7EU3pMQLSGIzps3T2/GFwXiq6leb/YxzyY/6e23p97Fwnp4h6IfY/iSdOjQQRcqWrJkiUB8hfcl7lrYQ2Latk0fQmX6MM8QHo0HJ9Yh/yryrCJ9wMKFC2XOnDm66cSJE7X3Jty+7YZzhcDpyyAgQwC1G94/rDdhSQhXwV0PhNLbBWL7Poa5fZ2nZbz/yF/qy1DUCiIzJj8I5zCERfgKM/XnvH0dO1q3x3bqK45SFVTezj8leflsiWmSerPB7fmqnGfJf/4ksW17pnp47tgoyYt/S2tatJSuII88oikqF2jS9NQ0F2kNuBRNBG69uJngQvavvZtk3p4NVl4+d+fYRgkHF6sLWdh0Ve0dQigenmy3SsYPoTTaDCFcZh7159xwc83THOvP/vY2mDdd53b7dtdltI9qK1JCYq+/S3soJX39vnJtTYzq0+XJZYwAvDpx0wfXE2sP77Y6u0iFu1coWEwXDzlky+tnNeBChgn4usazHwCOEsbzxr4+2GXMmYHMhbzeVF49192pb6qnHNwjSbO+CxZ91O+Ha6HrKzeQoipd1JMqL/prSybrwkc4cYifD9W7WpBHdb+qyD5feYBGixXOk+ZogQJynszkjMX8SguMgIni9Hev7JIv1DicQefx11AMO5TzMqJuobEgktZb+g7UXMGD5plAWAVQeP2ZcG4IbebD43k46bdA7DICKLw4IaYh/NybmTybaIP9e/bsqdVyhISvW7fO2hXiF0RIhG//+OOPlvhZvnx5vQxB8ZtvvtECqF00RAcQIceOHavzMiD3J/aHoUoXXJ1NDlKMFRXE33nnHacfn/hgosq9MbhJmyrvWAcxFLlKUeQHXrCuF2G4q2DaQ9SF1yQMfHDBhHX1VM7Am2++Wfop9+evv/5aPvnkEy3amcJH4AIBFmb38NQrbH/gTWlEV6x+9dVXtWiM5euvv14XETITwuTJkzVPhPzD8KMbnrKoOA+D2IxxwKsX5/Too4/q9bgz4pqbSm9Qf3D+JgweorU7z0/7D3tw8TYxmH7xjP1wJ8Ufi4+P1+2NAApvU/tx/emDbVIJOKrXl9hm10rKscOS+MMQv7AkzfhaHBVrSEy1uhKnQt2Tsf+erYJcfY4K1cWhwhNTVCXHxG8/UiUdj/jVJxtlPwJ1i1WQjpXqCiqZDl/zh88TuKl66lyEhj2qXSE9fOwBL6q5HsKifOwa0ZvxfyGQH9PB/L/2BAAXgJwrL9BR4YdxvVTRt7z5JXHal3oO88SN60kABIpeuGFzWhVyOZ10Xq5UXls3qrmstErtYezA6WMydNUsWXU47Sa+2cbn4AkEMm/ZI8WCP2LanrjGxIPmHwHHxZdJzCUNdePEqV+IqBB4mnsCmEc+/uc3HUlTOb6EDFVh4RuURySqv9csUlaLn7gR/NrSyVF1Q3jPybTon1L5Csv2E6nOUq6UkDYJ5iu6yHU/vhYt+AUybwZa7C2rGEN8RGQqigtBl7JHFLsbE7QFaGDQPTLq/enav6tTnut2vvZNIKwCKEQ3eAjC4GEZzA+qKlWqOJ0FvA/tXprYCJHNvs7kyCxWrJjOmwAx7OWXX5aXXnpJe2iaDvGlg2ejES+xPiEhQRcqgjCHvJSmMjnC7o24aPb/9ttvtQCK3AzwgoSICE9Oe3g7+sYDH1aE9JtQd1dB0/SJZ4T3QyAcMmSIFlTheWjC/7EdYiw8IM3F1ltvqRyK6gcmxgdvRiTKxZcOXqF4YH+TRgD7w+AhiqJQxiAOuzN8yc176G471uH4d9xxhxWqjrsTpUqV0uPBOMwFHMYH8RN5S/Gwi6rgO3fuXLeHwIRjBFCkJ3AngBrvYHQAj19aBBPIX0jieqTm50z87mPlSpua4sDniFXYTuLnL0tM02t1iFNM6UoieChLUTcrktculsTJw0WOpnro+uwv0hrgznSsmpKVByvNPYFCufLKvZe20xuHrPpdV+l03zJ1LYQDFAWhkUCkEIhp1VViVE7j5K1rRYdoRsrAInQcqD5cSHkiQfw7ryIB/LU8ai49GyWetUXzpobOnVAh+B0r1pW+Kjdfsrrm2378kK5cXLZAESmRL16evfx6+WLdXPlVeXfRfBPIF5tLYlWkGbjSsj+B2Cap1/7Je7dJyhrnVGBhOzuVwkkwL9ki8MJ2rBB3vPzgNnlqwdcyoHZbqXFRGfUoax1h09F9MnLt7KhLF4QIH/xexu/nVuVqyJfr/7TO2SwUVsU0caMdhvQj+VWKJeMRatqE6jnY/284fkb2DdX4c1I/0HHgOIY6KNCToDuh5our1z/0HehfJm0hUvrRIo9AWAXQUJyuEflMXxAQUQ3Ll0FEhBgI8QxWrVo1GTlypHYbNqIm7lCYuxQQFfHBxocZ+0B4hQAKkQ4Ca/Xq1eWZZ56RYcOGWQWEsH737t1azIOwB89ThMbbDSHy8IaE5yKERCOA4g4C+ndXSAliYp06dfQXDO3gQm035L80OR3gNWm8LxHyjvQACE/HeCBewtvTLp6afkxouXnt6dk1P6q7dhAzwfaxxx6zhGi7IGn26dWrl1W0yawzzwinh0iOcH1Xs38GkD8UoioqwNvNMEJb49Vq387lyCEA701HfFFJWjBVUjYuD2xgEDpVKHzyfOW1q3I9OdRDjqkLmgM7s/fdfiUK53pUicHqB7uvwis3V2+qchOV8soNOS6HrZ7ltU123HhX7Ta6yAfCt/45tMPnKRxWIU43/fqpz3ZsQAKGQPKfP8s59QiHOcpV1TdvkM848dsP4SoRjsNEVZ/dql6uvR2Hqly/s3at9XpuSIvRSxUhgkdT8XyF5IzyANt8bL/8ovLdLT2w1eu+odp496xRoerK6sd4gBZTQmi/mi1kxcHt8r+Vv8t/51Lz9pXIW0geVCGrSPWB9CDLD2yTfcojlOaZAG6mvdv8lv9n7zrgnKi290myLL1K71V6EwGp0hQRUFFAFJCqiPjUh/4t6HuKnSeCBZ9gQxQF4SlFBEUEQQSkS+9Fekc67Cb5n+9mb/ZmdpLMZJPdlDn7m51268nk5s53v3MOpTJ49cjidPdU/nNYd6JaAzyntFW/QTTRtXB6RJtqK1WJx/F7yVaaCToFi3oA0FNHybV3Mzl/Zms8hWXo05BiZSjprnTiic895QQunNz7tylXInd44vJ5enX1LEJgpPL5r6N8bEl1jM3ej8fp+HGFma+/HNwsAsp1YkuifedO0m9H0mMGAOwcWqe9D/MTIGikxMzvm7YNmcmrLcs6N6YBEMdkrBLgLMA+gKeAaAYB9gFCmbS0hd/OPn36GCvcTyqQ2sIlsAgOhYwYrvqjqZxsB0ABDvpj/plVFMAvsD5vv/128cBpP2T4mbjhhhu8rM5hw4aJKOYA8EqVKuVjNl2oUCFv9XiQkVeaqYPtCR+dEDASe/fuLb4AMBUHwInI55C+ffsKZiSYjxD4AgUgKpmPjz76qAD9oAPc0+rh888/F8xNALYACAGMQmR5ON63bx92QmrWrCn2AHCfeeYZevrppwX4uXfvXtF+9POhhx4S5uj+GJ8oALRtmHtDZPnwqwnzdn+CsgEgjxkzRiRBPWDrIv8777wjrgFEVgW6UPuML7keAAoW67p16wSIjJW7n3/+WehcloW+nDvnmezDL4Yl0asB+43tyV77JgYsD5Fz3uehN5TZoHTyMLl5i3lhplISR4NGBGhEng4mzUtVFWyfQOkwiYs3gS/PJiUq0+GLZ2nydk9gt3jro9WfONZAjmQ2ff8n2fj7njpzPPudORbHnQ1P1xoULU/dOKiQEbmVI6T3ZWYkfGVCzrM7FLBAaxcpI7aFB7fQJ+wyA8zJWBOwFCHYH+Hxb/S6uT5s2BNXztNbHBn+nVZ9CJHq76naWACksdbPrGpvEoM98HFYgJlepy3fqVml9ojWY2/Unmzwk3uagchNkZsf2Nv2EItYtrTvpPv8WaLknGQrXpYcvNk5sF3qlNG6i/v2cteTvXKdoHpw5vG8fwVNGMYECIy091yMWk+Z1MPXO5ZTo+KVxGL6sHod6NbydWj338fF2FmXgx7l48URBInqXLGBKDlS7E8zv2/aLmYmr7Ys69y4BuAXf/jw4VShQgV66623BNAJMhs2VWB5DGvYu+++W70c0vFnn4VvURVENC02FlKj4iBTtgOgZnTYoEEDwoenFXyYQN/BCjTjS6Jt27bCVFtbHs5V1iFAN1XgMxSAKViHMKEHACpFmr8DpAQgqIKVMAsHGIio6ADsAKwCAJQgYEU2v0ebYMKN8iHwfwmAVJqRy3rkXrI/cS5XIOQ99AHlyLJwHUAl/HEGAkBlfuxl+WoZ6n31WE0DEBZR56U7AqRT76v55HGg+/jscV9P5z/99JMoArq+5ZZbZHGG9tAvAhwFk7Fjx4pBT00H1rAKlKv35DF87vnzbSrTJMwe0Tm7DCI36yR1GrOfUq4lTNf9djRvQUrq+Tj7Na3vN4l6A87pYeoI+XH/Bi8DSE2D47OaiJ7a+7F2Dn9MMPt0MgP4g40/0zWX5RfN7GcIMx0sOmWHYDIYbKxU24XfRlhYxJM4bh9ANmYAudg007X6l3jqWkT60qxkVcHESUoDNANVUrVgCWZGthbmiojeC3Yk9mDuNClehR6q3Ybala0lXGZ8tSNy4EigNmbmHvwdS5nLUej1XAHAd9/iw9vo9gr1BQNWprf2vhoA6Dmsbgeqm2bi6ns345mZcStj7sxdMes3Dq6utO8rmWtBjOTm77mjcQfRWNe6JRFj1gvf9bfcJ94PneuXkHPu515/87by1cnB1k32EuXFnC7lnScyMEFtpSt52njsL3L9+Ztf5QqLJr93rRuZ1QAAzRHLp9EjaeMAor1jg1xkdxj/4cWkPDzXhlxlxmgkFs3M/L6Jhij/MpNXKSZih5hnas3CI1ZZNhV8zz33CFIc4sqApIY93vcRIR4b4rSAkGdJ9GogpgBQAIgw/w6XmAFL1ToBLAKkBCq/Z88e2rVrlzCxx8RDgnHNmzfXfeGDH1D4j5gzZw4tWLCADhw44C0abEncmzp1qmCYBgv2hIyqb09p7u8tUOdAOs6V9GydJD6XZPlGBjN1VUGWr0am9ylY5yRQ4KLM6FynKutSNmjAwSvnNvZz6b54jhxt78nYgsJpZt0cHCSp77Pivosnma6NsffCmrFzGa/YG9zMgPBAsuU1vtpfoQCbW7EACMSLvN6LcMaaYv/K3ZVvpFzMaoVT/rt0GGHF00BhMF+fbOjxA/b74R204tju2O+81YPY10Dh4uS46TZPP/Lk845vPh3jcQ9ib9KR7BwkDubxqZNH+SRJhJNCyXloUO2bqXFxNi81KA/WaiPAzpNszvnvP74TL63IihfXFcd20RXnNXq2UVcBDi46tEWwyA0WHRXJVJbigQun/bbp0AVP8L9SeQoJ/3Bu8l2895sxQW605OBR/Wq0Ej5lE6TLCdFNGy8g23iMhTj/ZAA0QuLo0EuAn8LU/ZuxPrW4/9pOqRNfoRxPvMvWPIXI0ex2ci6Y4pNGmMzzFfgndVkR6n10k9UnZ5gk8BpHvsfiGVymYO64+fQhwQTFuNm1YkPRJKQLp4Ty+ybrz0xeWYa1D58GQIJq3Lix2MJXasaSJLEu4x3zV1RSnvnc8ZUj2wDQNWvWEPxLwrQakcQRkR0+MmHqDCoxzKVhro77UgAw4kFYu3atMDXH6ij8PYIVqqaT6fXqUJmPMLkGUIkHWK60AsFH9Hq0Q8qkSZNEZHe1DgmAIg3YgYg2D7+d0velNhDP4sWLhTk4Hj74g0DgJGyHDh2i999/X/jORF74lgB4CP+l6D9YMOijnq9Q1A1GpxTkB0vyxx9/FHWhr2gz8mM1AsxV2T6jq9ooH8CszAfzf0SYxzUwGxEVDeWrZaM9svyyZcvK5gnfndDvvHnzRH8BjsJMHv2E31KViYnnAYKVlZUrPc7MsaoiBeAx/Lr++eef3rbBRQE+KwjSgjkbTXLpmYmiOXCnoILF0dTGrGgLAD9braZ+q7KxU3l53x4gnd8CYvgGItonvzFD9ACs7wsXLohjNpgVIscpmEJ+eUtwX1Jp2eJmB/ZOIGAEbDF5X+7jpvMmOgLf1oEC7ZkoKtuTynETk814mLwhAFIgsZeqyOYSvLHIsUCcpP3DPEguTMrrscC4mCobG+J+SJ12hC2QwO/nh837eN0MybSw9IBg3BzTMt1iR96Ppf1LTboFbS7GwSkdPa6Y1MR6FimJPh9BgKmpHYcJNWHMlHEBVL3F2rEcMzFeYtxMJEkePk63u3iXksQMmQDzqUDEC5lOu7dXqq07NqvpHO3ZApA3PXG07c4kgO56t0K+ltnxFZaBqkAvcr6pXk+045JsfTSx9cAMFinhno8Y+X3zp/vM5PVXptHrevMRo3mjOR3mWIjBEg7B+750URhKefEw7w2l35HOk20AKEDGr776SoBnACERdR2gmpTNmzeL6OkV2SxcCsAumJyrAkAUvikRiRwApCrB6gBQiA3gIAIYwbfDyy+/LPx6quV8++23ol61Dpibw8QbICsAQWygREMA/gHQU2XhwoWEDS8qqkPcYsWKeQMnAfScMWMGoe8QAL0QeS5ONP9kMCRcnjt3Lo0aNUqAqGqyZcs8DDoAjRLIRJAoI4Ly8bnA9Hzo0KECtFbzSRP3jz/+WACZ8p6kfqsAKCKiqQA00kJvYLx27drV5/OXExX8AMtIanAPIHUOQBnOiKX7AOgcA7FMC3+s0SZ5Rg3wNikRjb9tNW4kW9F0wN6rjLQDe4UaZK/TjNzsu004kufr7v1byX1gpzZpbJ+zs/7k5z71RK5fs5Cccz4lO5tvJcE9APsAVYMgeThh6d219XiM6Ia25GQTWue3+hP99NTxc2Q9O+Y/S/nsyJdh8yVERw45bjq5OdhiUnLnI3ujwOCdA6aVHO3ctWk5uRAAg3/PEPBNT+Rnq96Lh98UmJA6Gt9C7rMnKJXHN/euDZTjxclky5WXzz9g1wEL1C6LY1uVupRj8Mvi+NrooZTEwUi0E9sUvuvg4COOph3JtW8LpU54PkM5UX2BAc0cIz4T1gLO32Z5TG91GgyLAkeLruTcsJScU97WSUEUr8+OXmcfaNNBXC6cMy992Ka/YAT/yoG0Jm1byi4Rago2KNi1ekGQxjeNXaBcjpnofDyMC3qfrXpNfDfyFxaBNZ2zP1JveY9tfKR99tmTvHH9sLsie9NbyZafA3gu/o79DOn7y3TwHM3BczSM4anjn/PWT8xQTX56gji/9uaDbL53Mv1eFBxpdYMmxeOzgzEBwY8wJiw5tJ0OXszIqM/lyEHj2wxgq6Mc9PHmX0XQpHB8RA9xEE+4YoGlwngO6rfp9EH6rN1gysN+m4MF+ctM3nC03UgZsTxmavsHbAK+PsMhIIkB57AkujSgnSdmeevgCxPBiBBNHWAbWHswTQfABXYkwDcpAO/AhASQB7Br+fLlAlADE3H06NHCJB0gplbUOrBqI30yAsREhHT4bkDwHqyAIYo76kA5uC5Frw4EWwIAKkUCjfBDqV1VRHshCIAE4G78+PEym3cPMFYFO6EPgLMAcrWrczITAEasDkjmKq6jj+3atRP9OH36tAgsBPBYAqpIg4jrRgQANEBGsNFkRHj44wQQicBMYG0iEBT0A91BAPLWq1dPHIMhCrD15MmTXvATbW7Tpo1gr+7cuVMENfr+e/0XPegAbgMQXArlP/HEE0LnBw8eJAR3Wrp0qagHOkdwJAhYrwgqZUSMrl6BmSufLWnWj7089ldXsPv+8sXjdfe21YEN8tgvDwBQunaVXEtnx6MKPH3iscC5bjE5YQKF6PUBZNUFZpgf8YxpdxV20/0cfRTiPsQrkzzht1dvJJzvw62A+8hecu/hxRPWY7yJ9exk/hPFWGdmPILbEWzhENQtfwONlGcmrZHysj3N5QtBxzTHzewsHwDo7g3kWvFjtjc5OxrgPnOcUr/7L7nWLmK025ifX5ibeuXcGXE45rCdVqe5zXy7gotKwfVtmimjrUQFb/KYOeBI5U7+TUzq2Ifs9VsRQFA67+mrtw+585K9YRtxmlURpL11R/kBxpOlh7fTjD1r6NBFjd6CtN3MmImi5DwxSLGGbpsdNw0VGm+JChVjUNJjKehm35oRE47sHjS6PP9eYiEf4j64y6cpiBwvrvNcDeAn/InaylQhW5785D66n1xsQo/Antkll3h1cfAez1yzWi6ikeUAD8enwBVGFTZ9hyAgklbal6stwM9L7A90xVHfz1Gb1sz5icvn6KPNi2jxIfYXiUCuJiQzeU1UE5akGLfMjJvhmmeGpfEhFgIrE+AEWt/1IIOp1sMhFm9li4AGsh0APXHCs4o2YMAAYRIu+9ivXz964IEHvIxFXAeKDqahnGAg0vhjjz0mQENQlQGmqWbSsiy1DgCQYJ5CEJDo8ccfF3Ug8jmkf//+hLYAoJQAKMoE0KetAz4633jjDW+AIrAkIQBGtaJ+wQFyAiwF81UVREAH4Cf9goIVed9999GZM2fowQcf9OoCoKYU+PQEmPjLL7+IS/CTCjYr9lLQp8mTJ9OECZ7VR1wHQGpEEMEM+pKDGSLco02qgNEKEFvqGWbt0mcowNCGDRt6wUmAn2Bpqv5Ku3XrRkOGDMlgniLrgD4BgOKzA9CLsmEi/8UXXwjgHOlggi9Xa2AKrwWgZVnaPcBxo2ApTO5hHgXgFQJzKeS3xNKAKQ3wi6tz2juGsniWTTwglC3JwWBnOZHPXqsJOW7vTzaOLK2KmyfQqdPfI/ijssTSgKoBsOols1697u+4QAF2VREmABTjtnTn4K8+67qlgVD84rlPeeZd0J6NA+0JMEGo0jNuesZQvlekpEfB7Ic6FsW1fC65W3cjG1sQJPV7nlI/G0l06bynKwx+JvV60gOmnD7GAVY8C8Ox2M9ItPnstUs0bmNG9rCRuszM8TBeSncLRsoOlgZzTH8BUIPlTZT7ABGlRBQAlZUE2ItI9NeVEilcO9b5pLSXruw5Z1At6bExZE8DRGUiNwgVzPh3zuf301Rw1rNDPGNmJIL+ZEdv/NW58tgeAYDeVr4ebTp1kDacOuBN2rp0dep9vefdfPbedXQx9ar3XmYPsAATqmQmb6h1hpoP78lmXIlIvCDU+iKRD7gA3PVpBfPYRx99VLj069ChA/Xt21e4ApTxVYDXgGwGrAqYEXCi5557TluMdR4FGvAs92RBQwAmAmTEhgdEFTxoAB1VwRdC60ezQoUKXvATaQGu4eGTAsaoP9GrA34Z1DrgdxTtkACrLKtHjx7yULBS5Ql8J6km3rgOkAxbMIHfT7AytaIyX2TAJ6weAGCUogKguAafqVLAkp01a5aX5QrgEuChBHhlOq0purpqgZdVKWijBD9xDUxNMEHlNTA/UZ8EP5Hm1KlTPmwfyRzFPTA3X3zxRREsCu2C+4KRI0cGfDEHWCsHF7gRwKADgR9QCPQNUFJOFNXPVCSw/lkaiAMNFCpdnmzM9oaIICnMSHDChJ6ZpK6tq9ik3ilcDCQNeY1s7KPKEksDlgYsDcS7BtzHD3rnG37dDOQrKBhX0IXNztPeXHoGn1GuqauXKfWbMeS+fJHsDPrkeH4iYaxHwMAcT31I9usbkvvC35QCYJR/GyyxNJAIGrAVSnfnlZ0AKIBYuKCAwAWFe8daH/XLCPC2QsxYLVaWXHs2ibmbc+V8cp8+KsYlR6s7xeKGT0brJOwamLNvPe04e5SSHUk04sY7aFzrB+iJ+h3pvzf3F5Hh7byQseTwNpq1N3TAMuyNtgrMUg0AX4L1qnZD7BjgLABBX3/9deHbU+ITaCDwmvbt29PXX39NrVu3pu+++84bmyRLO2BVFlQDWcYAhZm0ZClqzb/B8NNjmqgBftATFaSTPSte3BP5D+cqCCfvy72ROvCwasFP5Ff9ZWrrKF++vI+ZfjDwDeUDPAQQiC+QduUD1wGsYsUAbFApKqiqrqwAgJSMUXwJQcH+8ssvxQYTfzjy1WP9IOAUfGpKUdk5EkjEPRW8xDnqgi9QgMdY6YYLASkYMMDSRBroCZ/Nnj17hP9QpJEuB1A3NlXg+gAMXoCnEJQlBTrCKspPP/1E69evp549ewrgVN6HznEPAhAbTGFLwqgBvDByNqMIsgAAQABJREFUTFligM2S7NNA4XIVvZU7lzJT4IfPvOc4sJWrxi/DI9gcrBAl3T2MUt59IjrM4dmPkjBnZbMYSywNWBqwNBBWDbDPaBeDCPDvaW/emdyH95DtyO/sSilJsFDsDHYmdX+MbCrzk31qxqK4t6+llPeHU9I9w8hWoSapAbVcB3aQc9ZHvAKdzoiNxT5abU4ADUjLgjDMCeCTE+I+x5Zx7GokW4R92yf1/5cYY9yw8MH3UCNeE3huZ+qnL5H7eDrr0MlzJAf7gBdjGEe0t9/YQdffsabI+Du18bsGuwQQ7krMsmAxvjOg6WXFB9AOzM9HrZlDPao2oVvK1SEEz8MGgU/gWXvX0vy/NgV22RWgfOtWfGoA+ArcM5YpU0ZYKAfqJbCeV155hWCRCveGsGq2JLo0kGUAaKBug9mpJyqqrncf11SgTLIS9dIaqQMR1PUkUB3wgykFvjjhizKQIA3ATYCUYGHKaOfIgy9M7dq1hZ9LNeo7AMn//ve/3mJVlqjqI3Xw4MECjAXQDNBTBSdhxn/vvffSe++9J/yJahmg3sI1B7J8rGqMGDGCxo0bR/v37xflS2AVYCj6DYDzo488P/woHwAoorhLgRk/zIngXBguBWDeg8hoYOcigNSgQYO8AKgWGO7cubMAOdF31A/gGXVAnzC5B6MWEgyAlm2x9kE0wBMyO69GOxrcTMRmhQA/EYzIvW+r8EUWiYkm/N5dS1Dfd0E+DXF7z4rFdOPJzRwIo6CuiTs+HwRUSrqPTSGLliKYybuYiZAtwg7/He16kK1sNeGjlFd9COb5MON0rWLmtkn/R8H6YD07wTRk3Y92DaS81j/amxi17XP++AXZazZh8/DClNTzCXoGgCeDLFg0T+a1OxtHNIYPTUfLOzx9uJLmIDRqexSgYWfYT+onL4qXfVtJnjtzgC0wyIhN3y2xNBDtGoAP26Rewwl+y1Ne7Zfp5uK7jy27xMY+P5P6PicClLkvnPV8N6VrCqVRWLiw8bwIACkBrFWFwT4Eb0JZdv5OO1rflZAAqJ3njEkdevkNeKeqzOeYQdMc/+R3QPYbrQYR9UmjOYFp++fbfqOpO1dQqbyFKH+OXAQ/m8d4i3cXABpVWKcGNYCgz7CQ1XO1qFcEcAzEcQHmAZIZgjpbEj0aiAoA1OhDgeBBWtFjjmrT4FzWgTL0ykEaBA+SAl+X2CBGwUIAecGc3aK9t912G3Xs2FEEBgLjE35MIbiu5ysCrEoZ7AfpGjdujJ0QgIFSAPIC5Hz66acF+AmzcLBJwaSV4O7//vc/XQAUjnrBJoUgjxRZPvKDpYkNwCeYnTDFB8iJegFWr1ixQmYTOkOgJdVcH6smWA3p3r27N516ADBTinqMawi8hDbAz+r8+fNFoCxchx9VBMOCIE8wAFokVP6hr/fff79yRf8QrgAQhEl1D4BgXSo4rpcTgK3K2NVLE3XX+IUqx9A32UynjGgaTO6I/RbZK9ch4s1e+yaPmd05D1s36tofpw1ywzUFRzh28+ZPAHi6uz/KvkFzkng5zgYA1MammEn3/lP4o0M78VJAHMUZE3t7t6Hk4ucn9fNX+IbbXzes6xHQAMZH7bgaqBqjv62BypD3UFawsVKmxR6LfoEWNNW01rGlAQSPcp8/LQBQaENa8shFdPyGAXCBuDnIHhZkYl74ZV8Ew4v5jkR3B8yMW+EcM6EVzDHls2xES3hXiGopeB057hwS1U000zgbB+3Eggt8sbs5KnzKZy/7D2zJoKhbBxj11sdjkmv9ErLf1tdDOoDljFkWpLew2DuwXX8DOdrqvxsG7A2zPsWiP7s5cf9t/p3kipPjOpzzxCIJWI9107AGMGYZjcOBQs2McYYbEYGEIHtBJC5ipApgFippzUgeK03WaCAqAFD8yEdaIlUHTMyl6AU/kve0e0yUihUr5uMwPZQ2qvXLwEIoG2ChBD3VuuULgWRvqvf0jmX5KiMTgwCYqlqRgwOuy/LVl9hdu3bp5kN6gIQqYxXXVEGfwO787LPPBPgq74EZOnbsWHEKMLRQISUirEwUYA99wCdpMEEdM2bM8EmGvKpefG6mnQAwjTUAVEwmGPwUq9kIqCOdufM1AFvC/9jDr1PKaF4gsMzi9T72bL0GgFSAn2DuZrUUL8s+rF4Q/qwQBAAO/cVLOpuc2lvdQY5bOYoxA6T2Nt3JtWh6VrcuoevDYo+Zl/lwKgvAa7CxUq0Pvx96Lm/UNNaxpQGpgaRuj4jfJfhBhk+9RbuP0DF3sliIfeKODpSnDgeNa9fTk5yBUkssDRjVgJlxy2iZRtOpZAQjeTDXjNqXbZ7DC7CQA3bFg9iZTS4CUXK/XIc5BgEWdcHuzITASgZig4uOwhzI9sTBTJQWO1nt9VqSo/s/2Me9SUiCraGSej5OdnYbYEn0aADgZ3aOm5HSRKVKlUQAZwQ3gqUtfH0GEsReOX78uMB6JAkvUHrrXtZqAM79LMmEBtQARI0aNfJbEnxHREJUP6lwzBtMZBqjQKEsX+YLVL6aRpavBomCGb9q8q+WhYjuZ88yUyyAaM3bwT4F6Crr1d4PUJR1y48G4MhdBNjh+6n/G5cOfiL9iUOUOnkUgYkIUx6Y61iSdRoQwTvyMcCPLYDYmG0pRGtmFSBPuG45EKWYV3/dMNOc+nY6Q4mBCdfiGeTetlpU5WgS2FVIuNpjlWNpwNJAfGvAxq4+7DU8cy/nDxPJxf73Vs3/gWbOnCmisR6f+Aa5/tohWFrQBI4tsTRgaSBrNWBveaewInLHAavR0XkgJXUeINxsuLavodQJI4KDn/BRWYQXpeHn0o945264nw3zNz/Nitzl/OyyhIO4CdIFs2jNiJ3dc+X453tiQd1MPiutpYFQNQDSE2KQQF566SUR3EgP04B7P5C1XnvtNZHWn9WruGn9yzYNmFxuybZ2Gqp48+bNNHr0aAI6DzakGthHrwCw8+DQVhUE4lm1ahWtW7dOrKTecMMNwuGtTHPy5EmaPn26CNizevVqn8BLgVZeJbiHOuEnExRqAHeqD1HVvFrWB1+hWvAU/Zw0aRJ16dLFJ1ASqNZoHxzu7tu3T7AfYJKPoEDwQwGGpAQL1cBOsi69PQIxoSzkA5sTpvjwZ4FrMJnHigjKb9WqlTfYEcqBST1EBUAxUDz55JPCxB7sHtDeEdwJ5o7aKPVyUIEP0Xnz5tGZM2dEWgCrUpcwXYdZOgTXYXIPvUDgowPm+tEkl56ZKJqDVX2VLRtNbVTbkqP/C+pphuMcD72a4ZrZC/iOqkG3kF+C52bLiof0NjYRS37DwzSGXq5ifOKog5AOI8dRMvvZNSrwd+f1eWc0U5jSASBP/vdkv6UhEqrsp99EQW5g/FHHTLDEEZjNEg+jHpOweBA5bsJFjRkT/njou14fMM+QlhnyPpi98ci4kP3DHoF/CFsASeo6mC61v5+cb79NxG5rIFcefEMEiJPZHA1vJmyJKBgvpasj2f9YmY/I9prZTzWQuEiufDS1o+e5wpgZaxY7el2UYybGS9W1l17arL5mg2k3iy1vgUzPAcy0He8c0jJN5gMry4yprsyn7u3VG1HyyCnqpbAcJ7/0VVjKMVrIycPMPk1zx+YqXZmuPf+i13Wc0TLClc7IWK9Xlzp/1ruPa0bGBG1ePYuUcM9HhtRpR9hCkczkDaU+NY/efES9H2/HcKEITGbKlCkiJsqnn34qcBjEQIEAK4HbRDnW3HnnndSnT59MqWHt2rWm8wNjQIwVS/xrIK4AUC2YqXYboJkKNuIeJoMyMj3OAe59//33OPSKNlo5gL9p06Z576sHL7/8Mr311lvqJXGMLwuC/kBQJ0BNPVm0aJEANVXzcqwiaAEiRGbHBoAP/jcxyUG5aBcAQK3p4LJly0R1FStW9JYFsNCIIM9vv/0morvjSywjzsu8cAoMAagrzevxMlavXj1xHQApwFAZ3V0bVR5gqp7IwQMTFGl6/uuvv/okhV9Q+VnA9yeA608++USkefPNN33SRsNJnlEDvM2Iak9N7E+NOJI4/E3qSY7nPycb+9tJ5YA7rt/n6CUxfA1rvthUiYRuHmjTQa0i6o47VahH/Wq0EhEoH1k8yds+194T3uMl2/+knvwj6+SFiOG/f03HLqW735CJHqjekm6vWJ8up16jx3+bTOeuXZa3Ir7vVvlGurdaU9rz93EasWJ6xOuzKjCmgfFNextLGKWpHv4ja18Eo1QNCdusz9oNpjzs03jCpoW06FB6UEWpkJeadKMahUuL09kcvffrHcvJeeagvE0v/vk99Ug6R9054i9k9Nq5tPrEXu996yAxNeDvN1dqI5bHzaiaazLgmePRt8lWohylfvMO+wPPTUnsB9R94W/KysBvNv5g88gPN20PT8Byvmlkjli/aHl6rlFXkfuHfevpy+0eAoam2AynOdik/VMex5LZxPtXHsPG81imlcI589LYlr0pF+tr1p61NGXncm2SiJ67r6V6y9974RQN/j19Huq9EcaDh2q3pXZla9HJy+eFPjadPkjBxnpUDz192Ka/CFQEXU7atpTLqak7fw5jcyNWlJE++6s8M3n9lZmZ67E8ZhrtN4hbw4cPF9gL8B5gFbAEVq2BURYWVv7v//6P7r77bqNF+003ZMgQv/f83QAxberUUOB+fyXG3/WYB0DnzEkHYPDA3XHHHVStWjWxyj1r1iw6dOiQ+NQQaAjAY6AgRQA/sRoOU3YwJsHSVAFSFATWpxR8EQD6SbYiggABhL355nR2AViTjz76qA9TqVevXmLFAMAlAMWvvvK84GH1eeTIkWJlQTJdevToIQDN7777TlZLiBDfsGFD0RfUjzR40CUzEitT7dq1E+kQhAhtRhAfgLdScN+I4MsLxitAXAl+AniEjgAoA9gFcAtWgWSqgmkq2SgAQ/v160djxowxUl2GNGCggiUK/6EQfMZYcQLgO3nyZDqMVUsW+F8FWAzBZ4yAVEYEYLEETQOlX7NmjegvPk+pZ+SVffaXV/WB6i9N1F2/dsUv+AlfPQA/Ia40c+aoa3+cNujXDauoc/M2lJfBgCfqd6TR6+bSqSsXvL3tXLEB3VahrjifvXddloKfqLR47vyi7i1nPN9JnDjY3KtygWLk5uP9509SiuUzVugoO/6B2WRmPMJvIVi14RDUayZAh3bRLxxtsMqITw0UTE6HNW4rX482nTpI6yh9YbV1xdp0d5X0wJHF0sap+NSG1atwayDYHE+tD+Mlxs1wCcZMM2N2ICu0cLXJbDmOTv0E+Ona+DsH+VlM9ptuM1tEVKRP4rnMAF6khhy/dI7WnNjnXXjRa2CKK5V282IwBPOeBQc2i8XpNmVqikXi+Qc2ebOVyF2AnmhwmwA/z/P8e+beNd578XqAiOsfbV5Eiw9tI6cbULQxwTO+9PB2mrFnDR26eMZYJitVlmoA7+dmxs1Q4p9kaYd0KrvnnntEUOdt27YRLFWxR79hfYoNGJK0hNXJHrFL+A2C60K4CLQksAayBQAFcKUGvPnggw+87EG1uRLcUq+px6AaI6q5FACLKlIOMzEJLuJ4woQJ9Oyzz8rkGfYADuGLUjUPr1OnDr377rvetDCt/89//iNAOABzeKkExVm+sH388ccCeEQZGzduJICwkv2JQvBFHzbMY26Dc0xwZBtxDjN2RDVv2bIlTkUkegCsKgAK8BOgqhREhVeRfrAhBw8eLExfMHkCWIno8tJsrkSJEsJsXeYPtEc/EKxJgp8wT4aOa9WqJUzYAXwCCIa/LSlacFX7El2/fn3RJpirIv9PP/3kLV+Woe4x0IwaNUpcApANMHT27Nm0YMECcQ2fA9ooo8Ej0rxRsxYM0u+9955and9j6AKftwRA8dmZGeT9FhztN9jRuL1qPbKxqY+9bnMPAM3BbfwxRKO9O7HUPlvRfBw8qLpo8qnCDvpw4y80vGEnqsSg4piW99PW04fpsvMaVSlQgornKSDS/bh/A4EJldUCU0LIqSvnKW9STnq4bjuqd105yunIIa6Dubr48DaxYn+VI29akrUawNiFzahg8Uo7dhvNq02H36GEGCu1HbfOI66Bo5fOUqm8hQjAQX62Xhhx4x10ssbNtOvIAbq+VHkqks8zLsqGgE1qiaUBoxowM25FAgCV7xZG2xtN6WzVGpCjeWdysz/L1Bnjo6lpptvSltmKJXmcgWCu9e/GdwUsAyDpY7+lW/t9tWMZVS1Ugq4vVJIG1rqZbi1fl/adO0nXsc/2KgVLCHYoFrTfXjdPWPAELDwSNx1271yTcmvtssJfIQDMUOTstUs0bqPn3S+U/FaeyGsAQCA2owIMIRYFmBHwF2yRFLgB9CfQ84kTJwTZ7+uvvyZY5cJPKVwEWhJYA9kCgMLUXJX58+erp4aPEVRHfaErUMB3oqstaO7cuYKODAalnvTt29cH/ESarl27Cj8P8svcokULAigqBX4Wevfu7fU9CdYoHj4AnWrbZHojL5QoQwKgMp+/PUzIX3/9dZ/bAEuxwScFQE9pTi4TATgGWxJAKERlrMo0cg8GrAQ/cQ3g39ChQ4UPSwCYKpAt80ycOJHatGnjfXmGrwyINNUHGxWbKtCpah6Pl28pAFQBQmMiCrYpAFgAoFIQ/AjtlBNFKxiS1IzJPXwzgaHHYIVXmO2Z/Pzn3lMcpHKQCdcK/wOyT2LrJFMasOXPTbYa7Dw/TWC6+ezyb6g/MxFqFSlDDYpVEHewKn704lmxKg6QMTukSFrwpWR7EsEstVz+6wQL9a/zp6hUnkKUj8EJmDzVZHPVF1b8jy6mXs2OZlp1WhqwNBBHGjh44Qw1LFaRkvglatHBLdS6dA0qyr9bRat5LBVOM6hwiNPULVpO9BoMekssDVgaiLAG8uSnJI7sDUn93/tEl9OtVSJcs2/x+L6nZH6ugUXnzAhYjiNXzqDO7KLoLnYXVDZfEbGhzCvssmj18b2CEZmVbovU/tgYALXV8LgSUa8nwnFuXqR38O/HBZPPCVwbWFZNifCEZG8fVVKeXkuA5QBDAfkLZLexY8cKLAvnlvjXQLYAoGBRAhyUJnHw86i3AoA0WvBOdgWA5JIlS+SpoT1AApip+wNA4U9TKzBngUk1ggtBKlasKPbqP7AtUa7K9ETbAcgCCBw0aJDwY/n555+r2fwea314+k3IN8Awlf41sQqBLwLAQOhNBSdBye7YsaOX7YhASWCbQlSfo+KC8k8FJUeMGCHYqgBoUb78bAACg3UKNicAyr1794oVCVCw9+zZ4zVTv/feewVTE6AtdAWTfzjphbk6WJ7YsJIBkSb08hggLZii69evF2WUL19eOBoGqIq64WsDAr8X2CwxpgFbqUrk6HAv2djpORUs6gFA2fena+9mcv48hWyFiouI3u4LZ8lWrAwhSqWj6yCylb+enN99yDNb6UHJWH1WKn0NzGPWJjYjAkDx5VUzKXdSMpVmRgIYlvvOnaBLWfhZoN7Btdr4NLd0nsLivFe1m8jFRu+HLpymCWzitOOsx5dsR2Y89K3eQrC17r++GX285Vef/NaJpQFLA/41oPed00s9decK73dO736sXRu48JOATZ5/YCNhbMF4CIbWP5dOZjchuSg/bzCzLJv3Onq8QfqLAL/mBywvHm8m6rMT6LM085sbqBzrnr4Gku5+hGwFipBz+Txy71yvnyhCV20lypPjlvvJVqYKz2GLkpvZ4e6Du8i5dDa5t64KqVaYa2PLjAAEhXui7/euFy6DSuQpKNwYHWZTbrgJsiTrNYDfibfZmiqVyR+q/31/LWlcvBID2I2oXL7rxKIb5uOY485kRuvpqxf9ZfN7Pdjvm9+MfCMzeQOVa93zrwEtect/yvQ7cFUIDAZy8OBBL2YD7MWotWp6af6PQLCDdTAwIJDgLADUv65wJ6IAKCKyS5EmzDh/myN0BgLdZB7s//3vfwtQTb2GY7AYJeOvQ4cO1K1bN5FEDaoDX5TYII8//rhIj4dPT1q3bu1Nq70PgBYAKPwqgO2pJ2XKlBGgHgDTV199VbAvAahKxidAUGxSYBJ4/PhxAeIBQF25cqWIro77gXz+wN+nav6uRrqH71OwM59++mkBfgKIRHvQ7lKlSomqYeIPFqf0WyrbA7+e+/btE6eqDyN5DSAwmJXYAHwC2IR/UYCc6Ce+4AhWBAAUgihouAffGFLQPnxW3bt3l5d89iroKX2gygSdO3cWAChA7J9//lkwbHEPny9M3yX4DDDUEmMasLftweBnL7LxyifEff4sRyRiv3/Fy5KDN/j7TJ0ymlL+M8RTIA+u9ma3E3w6ORoywzdnbkr98k3PPet/lmsAgY6kj6msrrxawZKCgapXL8Y8B4MMZZjhUCBHOnv1p782UsHk3MIfH5igMNM/xgCFJZYGLA0E10Cg75yaW/3Oqdfj9fgEB9H43+6VdP/1zQW7/PWbetKGUwfo7NVLVKFAUarNTPnN7BcUAUiqsflpVi4URYvOrWcnWj6JxGiH/cb2ZK99E7lPHCLnvM+ztNP2mzqRo/MAktHm3Rd5jsHzWnvlOmJzrlpAzpm8eK9aOmVpC3muzX+Y+1jznyxWvKY6+HV9rP6tVIDnpbAUCCYyyCjSwaUTGKMVmRmMrSFbY722ejYd1QlOGqxc637saAB4jVlRAxKBCAfiGgSkLm1wbrNla9OXLVtWEMg2b2YSExMFtViKNn0in0cUAI2kYlWzbPiClP4gg9XpDwAFyBlM4O/Bn0igE3tEZ9cKGKFoIyKVA5gEQCgZsNq0Zs5VAFQ63EUbAHhK0FMtD2CoHgCqplGPwfaEqGWB8akHYKtp0D9EmgdIKgWMT38C/UgfpXppANCifLBWEaxKBrfq0qULqcxaMG7NCD7TH374IWiWSZMmeX2/ysQAbAM9E0gHMDtQv2VZWb0XvpluuU8A9M71S8g593Oi8x6H4rby1cnBq/d2XkVP6vk4pbzzBNHFv3nW5ibXMtZVrjyUxKvr9lpNyVa2Gq+s78zq5lv1ZbMGACxADnC00GVHPJ//7RXqsw++3MKca1aaD9JDF9O//0g/hyOnIiAJxihMGq0XAGglawSLVGaczcvftHC0DpOwYGOlWg+sIMLx+6iWGevHet85vT5pv3N6aeLtmifo2xV2DdJSuNpoXqqat4srj+2h9zfMpzea9RTXsHCUaGI9O6F/4mbGrdBr0c+JOSYW/Y0K3gfMpDdarql015UkR5dB5OaX79Rp77L5edZ932zlqrGF0mCxqO86so+c098lN+/ZxJAB2WY8rx1KjsYdhDm+c94kU92yEseXBgB6Dqvbgeqyn3oj0qp0dRHECmmn7/pDzGWvOlOZCVqEHuegpHBp8CK7fnp8yWS6xgGwElkwz8R806joWQAbzWul89XAmTNnvAQ3WOUibosl+hqIWQAUH7IUAHJGacT+XqrMvBjKeo3uwUoFk1Waqqv5AOrVq1dPRDpHMCizovbHyIAj00ifpsHqk6Ckys70lwefgxRpHq+yWT/88ENhrq5XlmSmyvzaPV7GwT6F71IJfoJh2qRJExo5cqQ3OfySmhEMvAiiFEywSqPqGunxUh+rqyuC+ck6Fabu34z16b77r+2UOvEVyvHEuxzxvRA5mPXpXDDFm8a14kciBkAhtgrVLQDUq5nEOaiU3wOAwm+VdGZfu0hZqnNdWcFKlde0GgH76iybCRXKmZfK5C2svW2dR1ADGOuya7zC+G2m7nCCrxFUaZYWrfedy9IGRHllvx7aSmtP7BNBRiqw/2EwcRAR/u9rl0XLZfT3MyGYKUZ514M2z3p2gqrIbwIz45bfQkK8EYvAgIMti2AdBOalo+09GXteuITnGhbS+z4rjl28CO/auCxjWpNXHN2GCvDTffYkpY5/jqPMXvGUwEQERKF3X71MOQb8i+wtupJzNQfSYYaqJYmngZalrqd+7EcfQfOMiI0tmu7hhXsI/Ex/u3u1N9sBdvUE365jW/WmwjyvbcGLb4v4tyiRxex8L5Z0BQKWWVHxKQRylizSSICT06dPF80DIS4S5ZvtezSnj1kAVGUbPvzwwyK4UTQqGgxKRJ4HEg+ByTYYotJXJfyhQsAKlQComRVcFUxU2ZaiUJ1/cB0AAeBrxNcoGKMwg5f5dIr0XlLTyC8e6NhSwIQEWAkgE5HpsbKOFWtEOPvyy/RoiTK93O/cuVO0QepKXkeUM/go1Zrzy/vRtr/0zETRJLgYUMHi7GynvVJtSn5jRsAmONr3JGx6ksQr/YQtRMHnL11ZyCLksyPPw7GfGo5CsrgM6EVleKN6PDeqi4osblKG6rqxM39sqtRmEHRqx2HqJd3jntWaErZQBWOqupCDSZfZBZBQ6472fGDURyPzPBS9jW/qcTuD34vsBCNCaXsk8txVqRG1LeK7aIeggepcIBL1xkqZmA94FyvLNxHNxrggQfVH691C2BJR7qjQMMOzE03zkez+TDBmYuyMdZFzTYyX2cVgteUtQDa2EvInMFGX92FNFE6B38/kkemL9igb7zuX2H1XPp5XAZBwPTJa7CU4EYtzxHDqDJaBqkAvRiwj1TzhOh5Spx1hMytFcuUzNPfUKzdQXjw7ct59Y8Fy1JDnJP7mI6G2Xa9NsXANeIUkSsVCezPbRgSXzowgNkywgN3a8mEqH0jwmwX8BRHgZWwcYCyWBNZAzAKg5cql09YBkEWrzJw50wt+AvmHD089UQcQlTWpl1a9poKCMlCTel89BlggQUoM5kYAUARV2scAKFiXAJrxgwhfnjCB10aql0GVUKc0x1cBUFxftmyZ2HCMlzbviwqf4wdXgmH4QsPsHII633nnHXEs/wHArVixIk2YMEFeEntEnEe5qLd9+/Y+97L7JM+oAd4mZJ1RkLfK9IO8Bcne9Fay5WcH9Yu/Izp7wnsvafDLZK9Sl1zb13hW8G9oS6792zyr6TIVO7ZPfu5TcQYfoa4Nv8s7pvfJnAObKsF080CbDmpy6ziLNQAm1futHxC1Dls8STjxx0mnCvXEqrqLJ0SDOHCJnqlpHg5U8ln7B0XeJ5d+TYfY+b8lkdWABBAjW0vkSpfjppOrwJaQUrg4JT/t+a1LGfUQ5fn7ZAY1BBs3M2SIkwu2slXJdv0Ngu3l4iAnmNTKia38rehRtYlg8IB9/vCvn8dJz411Qx2vH+MAUacM+LozVnJ8p4rlcVOOmfiEsnpcsNW4kWxFS/t9OOwVapC9TjMRmAiBNiHu/VvJfSBz73E2nrfm4Pkr5NrooUQczFMVG5/k4c1218NETTtS8tE9lDrh+SzXj9qm7DqW42J21e+v3s/aDaY8OXLShE0LTbEo5dwTfjwDBTICQ/PDNv0Jc1RYDEzatpTala0p5q2B8mKR/15erD/J/qYfXfaFbvPrsAXUC43vFPf+sfgLOnHFQ3rSTRynF2N5zIzmj+SFF14w1TzgL08++aSpPImYWM4TY67vMEnGCgxYQAiCg1V/fwwIBOxB4CCAeYiKdd9992VZf9etWyfqAih31113+a1XjSymBUAlcwGZtexQdYXujz/+COj0FsGDJMCIoEbnzgUOQLJ06VIRdR31ok1wqgtBPZBmzZoJdis+C5SLyPIQ9BVm/VhNl3RscUPzT4KfAD4RhEquXCAZ7n3yyScixyOPPKLJyW6FGCAFc1SNUo9EMKWHgGkbbQCoaFg0/GN/nq6FHpq8tjkujtYJANRWpR7Z0nyCInqmKo4WXcSpG2ZFmZy0quVax7GhgYpp5u/n2LQUL9P12IdSJfbnWSg5D/v/TKFczOzozP5A/7d7VYYOYaIKOc+maRb4mUE91gVLA7oasJWqJK6LgB4MfsKHs4hwnCc/uY/uJxe7LaGTh3Xzxv1FZpolsT9rN489rjW/sH+/iz5dRnT4tmVqimsLDmzxuZcIJ/7Ga0Q/hvkmIhgfueTL/koEvVh9jIwG3NtWB45ozm5wAIDStauEBYtwCdw1eeVcgIVVDo4GsZWo4E1uHSSGBvD+vPTwduG2ycz8s0rB4kJBgQIcqWMo/IEmIgCaCE/R2rVrTXcTlns1a3rmIKYzG8gAjAg4CnAd4B733ntv2IMrGWhGzCWJWQAUmu7Tpw/BryR8a3766af0j3/8I8MHAODuv//9rwBKAZYOGTIkQ5pIXpA+fADowRxez98kvlASuENbtCY4knqPe9K3Jo4hqkng0aNHRYAgPaAVYOTEiR4TbOSD/0wZ4AjnWgGTEnpTBabJiOAOmvUyZnICeO7fv79gai5cuJBkgCmAjwBB8flIf52yHICmNWrUEMAlAkJBAJ4iqJUEZ2Vauf/tt9/koTBDkMzVEyfSmYsyQbdu3UTdYIcaETwTHTt2DJoUAHvlypVFGxHgCQLzZJW5q1eIFrDWSxNN11xrF5G75R3s+7MgEbOOIK4dHhAfx/bmncnO9yGu32YSnTkujq1/iaMBBC+CXGMH8KOa3SsiLWt7350ZV/C19wv7S5LStEQVupPNdyGIAG9J1moAY5j29yNQC7DAKH+/AqUzcg9juxmT/FgbN43oIDNp7KUre7Jz1Nmkx8aQPQ0QlWWKxajfvyfn/K/4BzX2TXhlv4zs3Xs2kfvyBbLlzkdJ3R6h1JnjiS552Dd5mU303A1dCeaNWLD5Yf96I0XGVZpg4zXYUHP3/0nf7FxBKa6E5Vj7/cyDzfHUjBgvw2lyjjHT37xYrVceJ/K46T51RKqBbByICQtDemIrkmbCyn5KLUksDZy9donGbVxgutMImAQ5n3LZb15EhJdyHf/eJLIA79DiGIH04Y+8FihPdt0LBUNSo8CH0m6JlYSS18rjXwMxDYD27NlTRPAGIDVt2jRCYCSwBYsWLSomDQAWYYIuGYt16tShpk3D62vmypUr9Msvv9Dhw/rsC5iKSxN9mGuDiVqhQgUByIIxCd+f8O8g2ZD4qLTMTEyqYOqOyRBYkvXr1xdIv96Kwttvv02zZ88WPkYBQmJCBL2AiSpfQAHkaYFJ9RGBmbxkX1aqVIlatGhBkydPFtHj0dYRI0ZQu3btaNSoUV6dS/AT7UQfFy1a5K3jwQcfJLBPYUoP0BSgNEBHmNCPHTtWVC11pLZDHm/cuJHgixSBpGrVqkUvvviiKF+uxACYlf5rHnroIVN+a9AWveBUsm51jxUWdYKJY/VcTRuzx8z6dP4ylRx3PCR8piGSJ4IguRu1JXuZKjyxLCW65tr1J79sfx2z3bQaHroGJKOoKJvCF8yZh7acPiRYRGAUIQhSiTwMnrM8WLstwfR065nDVCJ3QaqctoqOl+3v96WD6qG3xMppVgPZOV5lZ91m9RRt6W2lPQxQWyFefGCmkwugH7smIWY/2qsyW59f6h2t7iRbqYqU+ulL0db8yLaHo0wj2nTSAyPIXrc55WB/gu7dG9gUhU0py1enJLuDLvHL6Ztr5ui65Yhs47K/dCPjdZeKDQiBo15bHT5GXvb3PDwtMDNuYT4ZTkHdZuoPZ92xVpb7+EGhK7Ch7I3akfOHdMKHty+8sA/2PMTG71XEgZjoyiXvbevA0oCeBuC6CQLLJX9y1ZlCqbyAhN+bnGwFlehiZtwykzaW9IqxCNgFCGeWRJ8GYhoABSCFoDovvfSSYDMCZMMG/wdguoDxIgWMQAB2qjm5vJeZPRiEb775pt8iBg4cKEBLBChasWKF2MqUKSPSSxASAOewYcOECfnu3bsJm1ZuvPFGWrx4sQBOX3/9dXFbjX6upgeYGAhQhEuAQPLRRx8JQBbsUoCO0B1WwRH9DEzNoUOHimAsAFixyiPBT5T5zDPPCFcDM2bMEFUUK1ZMMEHBSkVZa9asEYC0BKVlO/C5wD2BdParsl6R5vnnnxd+R3EMejcAVilo3/r1icfskP0P6559Nzna9/KAn8wkEo7qa3hYe6jHfeEsOX/6ilyIoGlJxDXgvsJsrrNpJp35cjEzN1fE6wxWQYU0E/jTVy7S6/zCfPDiaW+WHDz561ejJXUoV0dcQ7T3ZiWriWP4BJ3/1yaasnO5N711YGnA0kBwDXhN4M+dFgCn+/gBbyYnv2w5OBCdg/3a2avWJ/uNHRJufIbZbernr1BS54FkK16WfYI2FPqxMYC0+tgeHnNWJKzLDaPjdV12ZQJXAYkewdj7xbIOYksDDE65Vs73jINsqeQ+vIdc6xan9wFR57s/JiLUey/yfCXsgsjiAYCysNcXpgLdLjfR8b89peVIYrJDYrMYVbXmcngAzYup6SxP9b48vsRzXLBFk+2hQyu5uS4HYwIqo1SWb+2zXwNwvedPEGcFlqnAdr7++mthLQuiHgI2R0JAagMOpsVLIlFXPJYZ+rc0SrQBk3KYv2P74YcfBHtSZfTBHAUPIIIPqQGDsqr58Mkwbtw4EeH9999/F9VK4FO2AazUXr16CTYlwM9du3YJtiSAPSnPPfccgW0KJqdki4JRqQpo5AAk9ajnAFnxJUHwIAjAYX+mNfD9CWnQoIHXZP/pp58WfjrRF5jO+zOlBMsW8v7774uAS2gL6kbUM7BTAYxu2LCBtm/fLhip+PLi88IKkEqDVz8r+BiFT1EpYNWWL1+ewPwFSAtGrQWASu2Evrexc/qkvs8RoncC6Ez9+N/kPn+abMXKErG5kPsYm/7zC7glWacB95Gz5FqwSVRoa1CBHI3TTGGzrgkZanp2+TdUPHcBNnG/JMzc1QQwofxs6xKqXqgUlWNG0VH2LffZliViMneIgdKrbDZviaUBSwPmNJDy/nCysUsSN/wya8dgXqhyzv6IMH7bS/IY0fquhANAoU03u2pJ2cFukJgl+62tDO2+5iAEnqycv1jCgp/Qi5nxumulhhYACqVZEjENuFb8SNd4i4Q4f/yC7DUbk40DdSb1fIJcN3Ui4cM+d16xOETsJsPJfkcdaW6ciBdxMy2OJHYL1ZXs9VoJ03sb5soXzxEYqU52S+LevCLTVWRJAalOcn6fZplTjP0q35VOfMiS+rmSgRw8MxSZt38DYYuUnE+5QrB4ypkGhPqrRwKl15gNGorAiurtlvcLJmmgYE6hlG3lCY8GYGEcSBBrBjgICF3AbWDlijw4z6wA+wGwCowGZDQQ6yTLFNa6rVq1IrgBDDfRL7Ptjtb8WQaAghmIzay8/PLLQbMA2IPpOzaAaTArBxIP6nGpUqUEQq5XCBiMqn9JvTS49uWXX/q75XO9SZMmAuTzucgniFgPlihM0cGWBJsSoKDUR65cHlYXmJXY9ASA4OjRowVoCQAVwY8ADP7nP//xJh8zZoxgSQJMhD9Q6AG6kXrwJuQDsDFVFiUihmGDKT8YlhCAtwArpQCgBBAKH5xIB1N9AM9S1/jSy74AmES9quDa7bffTnXr1hVtA2ip6h9sWgjajLRSJGNWnmMvgVz4G5V1qveNHgOAxecWTPC5AZhGX6WgjcgfSPBZqHkCpc3OezZ2So8Joy0Hu03gqPApn/H37sRB0SQ3AmxYYmkgTQNYmb6QktH/rlQQfMotPbKD7svfTAClMIG3fMtJ7WTfHr852LJDMCELNlaq7cKYGa9mUWo/DR+zT0t3ml9L3Txseutav4Tst/UlYv93BBO8BPMF6tUL/379xUymOx5/Xiy8ng6kN2+m+D0wM16XZPclYPFb43X682Bm3Ar3i6c6D05vkf8jf6QG/zni7A6bs6eMe4rnso972PDsAoOwsbg5OFrqF6+TLVdezzkHYWJ/XOI45H8MtOYYwmUWKeEpk8dcNwepowLXkb1SLbG5tqyk1K9GZb6ukBtpZcysBuDPvhIVo3xJOf0WhXEzmcFwCJigZiXJZqfH6t8qGKSISB/LgnHQzNiVXfPSSOoYOoA7QLhI/O677zINgIL8BjxMtbhF+zFPBiaEDcAo6gO+AyDWksAaCIzeBM4blXdh/o4tGgWAIjYIwMlQBJMxMB4DCb54AH6xmRWsKkhZsGABYTMi0Pm//vWvDEnB0sSXEYxR0LUDOZTfunWryI+VDFUAIKsCIFK6CejSpQtJX6BqGqPHAJaNANxYxRk+fLhPsQCEAUQHErzIS2A3ULrsvIegRo7b+4tVI9fhvcKUkNIiwGdnu6y6Y1cDRy6eFY2386QObFEzETdjt9fR3XIsFGHRLzsEk+FgY6XaLvxeyGB36nXr2L8G3GlR4G0w6yzMk9+0BSz/OeL0Tt6C1OOJJ6hy3XSrkTjtadi6ZY3X/lVpZtzyX0podxA92Ixgfp3wC0c8d4UfZFu5amQrXUX4+RSB0g7uYrTARTZmyAth66ZMCc9tknoxM5/BT2ExNXMCubeu9ACdbAbvuPlusrftTvZaTcjRtgf71v8mU9VZmbNPA2fSmMJ5maHpT/JxwD0pwUzlZTq5h9n8sLodCG5I4kFAUFItOuOhT6H0oWzZskIPmzdvFkQoM6CwWh+Ynv/3f/8n8BPgO4jBgmDSwHiw6HXkyBFhHbxy5UrC9vDDD4u4OJIoppZlHadrIO4A0PSuWUehaAAsVSmYfBld/ZZm+TIvgD/4XNXzl4Fy4boApv/wCYqVDYh0DaBlZGoHUglYwrEwysgMACrbm6h7B/tMc7D5DsS1fQ2lfj06Jv0XJernlx39ho8iTNiOX2ZWGv/pSR5lMniaV88tsTRgaSATGkDEYgb26Mxx8RKvV5JkNol7WjN5vQxxeM3e4Gb2hzqQKrMbF0s8GrDGa+tJSEQNuA/sJGxasZX0EEhcf+3Q3jJ1buPgc/ZKtUWe1KljOPDaxvT87APU+fPXHIiNgVCYxzMQ6lz8XeKy8tM1E5NHYIBCiqSxh/U6UZj93UvZf/6UPAy6b1nqevab34ryw3esJXGlAeApMhYNiFAI2ByKwNIXi1tw/ffWW28RAlnryerVq+mpp54SLFGYyvfr108vmXUtTQMWABoDjwIeapiig/kIE/+K7BsUAGLr1q0NtX7Tpk2EDexO+O9EpEo46tUTlTXaqVMnYWYPU/uuXbsKoHHu3Lniy3X99dfT3XffLdoCABPtmzRpkvC1CsASjEkJfgJElaY5iFwPBuuFCxdERHjVXyvaA5+td955p0/TEOEdwa3Q9vnz54vVDiTA6gpWO1SZMmWKcDis+hBV72fn8aVnJorqYeJvdmU/K9ptr96IkkdOyYqqvHXgOZDPhrwY7EdiqkwY53voBYHPPkzzAdqpdG3q3aZ3zDm8ntj+wYh8UphQqO4lsDJasCCDRJYIP9Bg3MeDyHETvw2hrqDHgx5kH8Dw0lpSgNmrLhQmv/SVTJ6Qe8wrMCdp27Ytwa/alFsfsfxi8ZOgZ5GinY9EaryOhQcRY6aeD/1YaLvaRjlmYrzEuGkJCYsCWBbIOcLV6o0p+ZXphkkegXSYY3BgV202No1OfmVaoCKy9J7eHBpuzR6b9JtoR6V819GLLfqZstrI0g5EoLIiufLR1I7DdEuW1igVOQDohJv6CJZ1oPnIu6366JZj9GKgthgtI6vS6c1HsqruaK9n+vTpoomwkA32XuuvL/jNhqtAjOVwpegP/ER+BMseMWKECBo9Z84cCwD1p9S06xYAGkRB2XkbL/gIHASfDqps2bJFnML/JoBIf4LJ3HvvvUcALQPJ5MmT6dlnnxUTAdXcHMAmTPVRB0BQfLEAnkJA6cbqxiuvvEIAaL/44gtxHT4+MYGcNWuWOMc/ADkoFwAszNylqbs3QdoBXuBeeuklArMTwJgU+BrV8wUL5ic2dUBAOwCgRiMAKvtj7S0NWBqwNGBpwJgGHv4jscE8+Bb7tN1g4V/s10NbafymhRkUB/bJ2Ja9KRf7/py1Zy1HPV+eIU08X0D/P2zTn+B/GDqaOG48tavuiQSPABaPLPTMT+JZB3p9s54dPa0Yuza+aW9jCaMwVZ5RA7ytMu+N0Js15g6SHvkP2dn03blkBjnn+X7nbdybfOzuydZ5ALnZpDlp9BBysV/QUPVjq9WU7BWqs8/P0+RaNkdfVxy4LvnpCeJeCpvlu3f9qZ8uCq7mcaIR7D6FxX54DyW/1jdk3YhCsunfA206mKq5U4V6goEJv5uBAg+N4d/X0nkL0bxjW2nm3jU+deDZerdVXyqepwDN/2ujCATqk0DnRPubNWnbUmpXtqahtugUFxWXYnnMNKrAn376KWBS4B/Hjh0TEeCXLFki0jZqFHpAMeAmsLAFeaxatWoB68bN9u3bC7wE+YC9GLXiDVpwHCawANAo/VAB+g0YMICOH2eTNxYEDmrWrJnwbwom6K+//ipYnNJ8XNsNPPiDBg3ympU3btxYBPvBKgQYlViZkGXjC92wYUPq3LmzADqxsgXwFX4lIAAjQcEG+IlVCDgsxpccUeIBeGq/YH/+mfFHHlHQ8IUMJEijNX9H+h07fE1VEBSpR48eghEKZuiePXsCFRvwHvqxcGHGF0ptJtQBX1DQgaS0I6/W9F+bTwLG6nWs6ATLp6aPxDF8g4Axh9U7PCvBJFJ+pfTKzW7dBNNFVt1X2Y2yTnxW+NyyUzAGYIOgPdpnHOMBxgh8tviOREqsZ8e/ZvW+03rX/JfgCTQXrmcNz4iZ+vWe/UBtjed7CEiz4MBmur1ifWpTpibt+fs4zT+wydvlEuxj94kGtwnw8zybXmpfzrwJ4/gAY8HSw9tpxp41wt+wEwFOLBHBjKxnJ3MPgpn5CMbLcPpd0/t9zVxv4ju3iyOuAwC1N+tMrl0byL1zvbfD9hvakqOTxyTUuXgGEYOfmRH3lj/IyVsgkSbySOM+tDtQUutelGvgh33r6cHabeieqo3pwIVTtObEPtFiB/uChf9OgJ+p/Fv9/b51hnqi/c0ylClGEpl9x9ViCNHczRdeeMFU88D+RIDpUAUBrSGqdW6gsvBuBhIZ8BZYCkVrTJxAfciqexYAGkZNgy0J/wxGBABjIPnkk0+8AOWwYcNEZHb1ZfSBBx4QQYcQSV1PEOFd+tSEQ9zevX1Xs8EilQAo8n/77bcCAMVxnz596MMPP6QrV67gVER8xx51IkI8JnirVq0SLE+9fuhFdANQC6YmKNwIxoG2jRs3TjBJUTYEAZM2btwowF7PFc9/ALaQ+vXri5UNsFGloD1DhgzJYBIo7wfbA8x87LHHgiUT9xHVHoCODGAF/Ugw1FABaYkwqTUDBpgp20hamEvKYChGJuz4MdP7nI3UFUqaUHQaSj2xmAfPXyRBRaM6wWIAJi3Y8Hxgw/ceP754pgB4gYGO61klmFBaz45/beNF3szLfIECBcIGtuN5sD4b/59NsDtf7VhGVQuVoOsLlaSBtW6mW8vXpX3nTtJ17JOsSsESgh16ihksb6+bR5dDiEAbrP5ov3/22iUat3FBtDczW9pnPTuZU7uZcQu/fdLEOnO1enJjjpmdc8Vw9CEry3D9NotcNRszM7MG5Rj4IrnPnhB+QG18buOI7RDn2l/JBX+ckRY2e3e07ylqcR1gEsfldKu2SFdtlR9+DSw5vI2al6pGtYuUoaca3k77zp+kY5f+phqFS1OhnHlEhR9vYWIS+8Y3IvH8m4V5v5lxU3XfY0R30ZwGvwF4L0LAa7AxgVGomIXZtoMYBgHxzYjAzQcixeMdzQI/A2vMAkAD68fUXfjVnD17tqk8eonBNpQm5PBh1atXrwzJwOSEWXi3bt10QYYZM3iFk6VYsWJ03333ZcivvQD/mlIQWf2bb74hRB6TAn+bAADBPAVQCdPznTs9DsbxRZMm6zDXr1ePnYMzGKJlhiGKWYkSJUQ+OOiFGb1WwB4F21UrqOONN97I4M8IbNBbb71VMFplHrQNbUU7LMmoAcney3jHumJpwJgG8H2H7zgsZuB5ks8UQEgAtJj84NgSSwOWBjKvASdHLx65cgZ1ZhboXZVvpLL5iogNJV9hwHP18b300eZFdO7a5cxXZpUQVxqwnp24+jitzgTSADPwUie9So4O95G96W1kK1RMbMji/vuUCETkWvEjn0R+buK451GOEF+S3M5Ucn73YaBWW/diQAOwxHht9Sy6v1oz6lCuNlUqUExsaPpRBkK/5kXKlcdCt0aMARVYTWQNgPyVlYKYKVhUA+7y448/0m233Raw+o8//li8exkxlw9YUALctADQMH7IAAGM+p4EOChBQ20T4PBWgofdu3fX3vaeY4UBgCKcV0NkHhy///77wg8FwAg9RibSqKIyg8D2U8FPpMOKAtibeqL244MPPqBXX32VBg4cSGCxqgLG5759+wQzDNfB6IRZ//jx473J1LK8F/ngrrvuygB+yvsI1iSdDePaa6+9JgItwbepJRk1gBUibJbEhgbAuM5KJqVRrcAxPDaML3LBQx2DjJZjpbM0YGkguAYAZM3eu46+37ueiufOTyXyFCSwPg9fPEORf50P3r5oSxFOU+Ro65vZ9ljPjlmNWeljVgNs2u78/hNy/jSZbMXKEOXJT+4z7ErsNJuS8ntXVoijyyByNLxZVOX8ZRq5j+7LimrDWwcz2bICKA5vo82XNm//BsJmROBjejIDnWDVl85bmC0w8tHxy+eYCXqOf4OtX2EjOrTSmNMA5jEIOD1x4kSBbQCbAS4krThlacBtkObLL78Ul7RWvzKdtU/XgAWApusi00dwdIugRUYEZtQwKdcT1VcmgElEM/Unqu8MBCWSAjAWLEitgJmF8qVfCfU+wAsjYKmax99x3759BRj87rvvepNIxmfJkiWpf//+wn8o2vPRRx95wVt/5j5VqlTxlqM9wEoHgNTly9MDPwCwRVmqfrT5rHNLA9GqAXx/wa5s0aIFtWvXTgCgWBzInTu3cE0RTexKjBsW8BmtT5LVrnjTAF60juGlizdL0jWQxL7Y4Ce1eclqVKLNIMqdM5e4mZ/NE5uUqGyxc1gb1rOT/rxYR3GuAfaHnOV+NzlgHZifjhvaCOU6l88l1yJPJOhY0TbemZ54401KLl+RUmfxu9mKebHS9CxrJ6DOQ7zwiM0SSwPQAOK24LsTCXN+uPkD0Q3xWsaOHSuATrgUhF9QvAvCpSBM5OF2DILYLDff7FmAEResf7oasABQXbVk70UVAP3nP/9puDF6XzzQpufMmSO+HABdT548abg8NSFYlfhyAeiAg12Y1ktwEebyM2fOFMnBAAUgCSD1jjvuIAmA3njjjQL0xJcWQZakgDH7/fffe/2PyusweX/ooYcEOIprwRwAN2/e3AuAIvI9IqbJ9sky9fbQmWyj3n15DTqcNGmSGGzkNQBUejqX97GHvqQvVXkd7dKu3sh7ibYHg1DLbgym03jXEb47AEClf1YA+TiG2wsInh1ciyYQNDs+E3yvVOAVOgJAbIknOJXK6odO8NwYGROl/qDPcAmeaTPfa7Td32JYuNpklRM/GkBE3ZFN7haBKNArBKO4yABI3uRclIPH0uENOgk3AWPWzxOR4uOn51ZPIq0BM+NWOMdM9AtzTPU3LlhfYdmT6POCYDqK2P2cuSmpz7Nkr+pxvaUXiT5idYeh4Fx2orcrOKlw175UgMFPSywNhKoBvL/ARZZRMTMvNVpmuNLBteGCBQuE1SQsW6VgnEUAZeAfcFuIgEMY/8uXL0/Vq1cXQaLB3IQuMisoAy4PsZ87d64IZA1Xf1oBW7Q/k8v69eunvWWd62jAAkB1lJLdlySTEy+NRk3q0WY1UA1ApVGjRtG8eRlX7wASVK1alZo2bUpr1qwhf5HkVT0gSrwKXKr3ECxDCoBKPRACvjph8m5GzEz81AEUdWHiaEQwYATzqYFytm7dmsFlAfIGAzLxOWgBUAxiwfIZaXs8pNGCNOiTpRvPJ4vnH99p+UKD5wbjAcYFPHuJLgDPtWI9Ox6NYCKm/W5l58ILnlkznw3GTQsA1T7d1rmeBmxko8fq3SLAz7+vXqJPty4WYGdHDhTVr0YrERQqlyMH3Vi8Et3N/lP/tztrfXjptdm6FranH8YAAEAASURBVDsaMDNuhbtX6rzWSNmWayMjWopAmoLXUVL/f5G9ZAVy87wNJvixxpy083pn6Zp1KenmOyKgIKvIRNJAvLzjwmoVEdxPnTpFbdq08X6ECCA9fPhw2r59u/caDvCuhngq2ObPn0+LFy+m119/nVSMxCeDiRPMoV966SUR9wXAK8htwIpwHX5CsXXo0IHKlStnotTETmoBoFH4+QNEPHLkiPjSgB0ZioAmLcFPRAIDyAdWJEzJARDKlerdu3d7i5dAi/dCNh8g8JIUDDi1a9eWpxn2eib9GRJZFywNxJAGAICq30mAQvDpa2ZlNYa6azXV0oCuBsY37S2uYwEOE+tEF4wJYBuoApDGDFNNzRtPxwXZ3P3h62+maxWbecfJnPb0aW73qk0IW6IKfkPUhXLoAb8neovWiagjWDnhNzbW5dIzE0UXMF76Iy7Eeh/Nth8LplqAGJZmZkHmYPXaGJBIuvMhImwxJPhNkc8KfmPwjhiL/ZgaAZ3judEuuEdyPlKEfYtO7TgsAj0Jf5F685Hw15L1JaJfr7zyigA/ATLedNNNohF4DhDQWYKfLVu2JBDEEI8Fv6XAbrZs2SIA0D/++EO4OoRlLHCXzAq+kw0aNBBbZsuy8hOlzwwtbUSNBoDgg9589uxZAv0a5uZmBD9kMoo8ykLwoSJFiugWgTqkAHCJ1AumCrTK+vT2WHGBqTki36sAKNwCYLVjyZIlIoo8ygMbDub2AEbhAyPaJc+oAd4mXvMeJfZBMncfmyoJqxuYa/6bHffzS0vq12+Ra+MyyqMqJu3Y1ecZste+iVzb1oiIpzpJEuKSnoFNwj47Op+4fHbky7BOkpi4JMdNJ7cWmyUc10NHCYn67Ds69iFHm3vIfewApbzzmJjUYmJrb9GFiIOR2M6fodTPX6Ecj78jtJbywf+R++AuHQ0mxiXr2fH/OcOuQtpWxPK4+fAfX/nvpHUnbBpAILqRTbpRIXbBcZbZ52+u+Z72nQ/NzVjYGhViQY/Xv5WacbTpOfvWU+vS1alAcm76dMti+vnAphBLtLKZ1UCnCvWE1cJpDm74yOJJZrNne3q5WJ3tDQlDA1auXEkSZ/jiiy+EaTuKBT4BgBOLJ8BW/BGzBg0aRI8++qjAJj799FP697//HYZWGStCYj7333+/sQwJmsoCQKPwgweVWQqozvfee688zbAfOXIkbdq0iRBY6MUXX6SiRYvSn3/+6U136623+gU/sZKxbds2b1ozJufeTAYP0Eb4IK1UqVLAHEgH0034sEBa9Ad+S6dNmyY2LfMFKywQyWgNWLh109JANGsgR05yLvyGbPmLkOvATr8tdV+97LmXO6/fNNYNSwOWBiwNJIIGxFi5ZAa5/z7tt7veMRMpclnjpl9FWTcsDVgaMKyBYXU7CPDz3LXL9NLK7+joJV9mvuGCsjlhKwY8m3HwuAMXTtHUHcsFAJrNTbKqtzSQrRrYudPzDtakSRMv+IkGSXzl6aef9gt+Il3FihWF+TuA0J9//jlLAVCAtLD2tQBQfBL+xQJA/esm2+4ggtfkyZPp9OnT9Nlnn1Hbtm1F4CFtgxAdHs55IWB4AiyEgK4tRX6J5bncw78aViRUk5BIm9fCJwaimQWTTp06iSQw6wMQ+vbbb3tN/uDbE/oB8xOmXPBhChAUdPVQBCZPQ4cODZoVDFQwUmFCBoo7BBHsEZk7kITarkBlWvfiVAMX/ybXwumBO8cmEPYKNUSaRGYxBVaSdVdPA/BFrPULqpdOXoNJtfpbIq+Hsse4qf7WBCsD6S2xNGBEA+4tf5CTt0Bir1TbezvLI0N7a7YOYlEDweZ4ap+wEG/Gb7+aV+8YY6aZsdCab+ppMTLX2papSdcXKikKn//XRgGEggnqTw5zxHAApdEmxXLlpwE1W4vAceM2LKBUtyvammi1J8Y0ACzBzLhpNGZHVqpButVDAGdVJGkMpu/BpF69elS4cGFhvQo/onBHGIpg7j5hwgRBWAPuYCQILjALFQDt3r07ISiTJekasADQdF1EzREmUADlEHkdD/vgwYPpqaeeIkQ6h78afDGXLl0qwFE0GpOuAQPSzatr1KghXlzB6Pztt99EpDLklRElAYpihWDZsmU+fT537pygdftcTDtZsWKFXz9RatT6gwcP+jXZxyoIIrujvQBupU8VtFcK7t1yyy3ylBo3buw9xgHcAeAlXk409aLam5kwYiCRLFKfinROAAio/qFQjxWoQ0dR1qWIacDeqD3ZrislynftWBexeqyC408D+D2IJMs/kMbwYm6NlYE0ZN2LmAZsRI72PUXxrgM7iC4HXrSMWDusgmNSA2bGLcxLwynWHDOc2gxvWb2qeXwColThWzhI8R9sXEC/HfYNmhIkS8RvI4DcsHodKE9SMk1h5uf+GDXfj7iirApMacDsfC+75qWBOgWfnhAAl6ogoBHAXaO+g0EiQNDazARCev7554X7P7UdwY6Bk6gEuPfee49at27tJcoFy58I9y0ANEo/5Y4dO9K+fftoypQpYvUAXwB84cDylCsTsumIUiYd9OIa0gwcOJA++eQTwYyEaTzYlGBNokywHiGIyt6sWTMaP368OIe/i9KlS4tj7b+XX35Ze0n3HD464RBYT44dOybo43AeDdN9KZ07d5aHov6C7IdGykcffSQPxR5gK7Y5c+Z4r6Pv8B0qnfsjAhsCSVkSJRrIwV4+U66F1hiemFFqiHlDqzFqc9nKVCFHl4Gifc4NS8m9Y23UtjVsDcvMs4NG5MzN6Af/zF06H7YmWQVZGgirBjLzjLPbDEq5GtbmxF1hHFDClpyT3M5Ucn73Ydx1z9shgG8hWsJ4y7AOLA1YGgiqgSLM9ETAtViXOyvdQDUKl6btZ47Q7L0JMJ/MxAcmlzZCszXMRMVW1mzRANibkNWrV/vUX6dOHQLRC9dbtWrlc097ArYoANS6desKEFR738g5FuCWL18uktaqVUvgNsEYsxMnTqRChQqJiPFqHXBDKC2F1euJemwBoFH6yWMl+eGHHxZfMER037Vrl2DQqOBno0aNBPMTQKZW+vbtK1YcYEKPQEdYDQBICIG/0P79+wtTcjBMP/74Y2FmA4ZmsC+0th6z5zCD10YcRb1SVB+hWP0GoAq54YYbCP1FWyGItgagtWnTpnTPPfcIqrcEQNFPFRAWGax/WaoBAdbdch/ZylYjW94C5D59jFz7t5Jrw+/k3ub7g6JtmK1WU0JQC1vJ8gK8ch/9i9z7t5Hz12+Jzvmuxmnzxu150dKU1P9fZGNAz81BPZyzfBcG4qnfmXl2fPSQJz/l+Of7HDknlVLeHOxzyzqxNJCdGsjMM24rUZ4ct9xPKMNWqCi5r10RQX2cS2eTe+uq7OxWVNXt+n0OOQuXIAeCIbE4f5lG7qP7xHFc/eMFnqRhb5G9VEVK5d8F14p5Pt2zlaxIjjsf9LkW7CR14itE/FxZYmkguzRQOm8hGlyrTdDqp+5cQTvOHvVJd1+1ZlStkIfB5XNDOYG/zo82L1KuGD88ffUi9frpA+MZojBl5QLFmLnamK4wwQDs1HgA9srnv44Gsjm/GXljzRy66kwJmKU5+0d9jINEwYXBQ4s+C5g2Mzfn7d9A2CzJfg3AMhVBoYEnzJ07V+AlaNUg9ukJXOL1118nAI3AU/QE1qkgrkHgyi9Ugcs9aXn6zjvvCJP6YGWhXTC3f+SRR4IlTej7FgCayY8fJtkwMzcrAPqM5EOEMTA5AWD+9ddfwv8kHmwwNYHw+xPQrrt160ZdunShw4cPi0hkMK2vXLkygYEpBdd+/fVXeZph36BBAxHJLMMNPxdUHxdgnco+/uMf/6D169cLc3wZaR6+PDGwoG8Q9OeVV3jinSZgjErzI/g4hVNfKaBy33XXXeJ048aNXnN6XEB/jQr0hLKDifT3qZrXA6QOZvKUiD6Z7M07M1ORo++yftxsdus+c5wof2FyNGxD9gY3k3Pu5+Til3U9cXQeSI6WXcUtN/wAXr5I9tKViHiz12hEKZ++xDYJR/Syxu01G/v8TOr7nAdIvnCWUj95MW4ZjZl5dnweAIAC9z1JtnwFOThKgoLmPgrxnAQbr3SyhO2SmbrjedzMzDNuv6kTOToPIFuSJ1a1++I5ImY32ivXEZtz1QJyzmSWI4+7CS12BznueZQcN7QRanAun0uuRdPjUiWOjn0E+Om3c7lyk71iLb+3dW8ofuR17yfQRTPjVrh8Jkv1om4z9cfTuFmtYEmqVaSMVIXffYEcbOWhkealqlKx3AU0V31PYfadqJJsT6JH691CSTxOItL78cv8OxIHkseRLBitZrri4O9YILmOLQgG1bo5UBLrno4GzIxbZtLqVBWRSyBZ3XHHHTRjxgwRYPqnn36iFi1aCDeBwB9+/PFHQb4CzgIyFoBQYBsALIFJTJ8+neC7s0ePHgGDJQVrPHyIQtAeYCpGBPiQxfQMrikLAA2uo6hIgQe/atWqYjPTIPieQFR5NbK8mfwASKtXr24mi25agJ0AQKX5PRL16tWL1q1b5w0qhIj1ql8N1bcofIbKgE/IC9aoyhzFNSmHDh2Sh0H3AIMlvTxQYrBwhw8f7pMkX758pJrr+9xMOwFgKpmpevfj7ZqNg02IF3SeVDjXLiLn958QXbmEyFxkb96FHLf3pyR+gU/lSOauVT/7dN/OAKkEP1N/nkKu32YJ804wnpLue4psJcpRjodepZTRQ0M3qfepMfpPbHWaUVLPJ8jGZrLusyco5TN2RXHiYPQ3PIQWZubZ8akub0HW2eNkr5qRGe+TLsFO4MPY6AQq3KrBuB5srFTrRPAP6SNavR7rx5l5xm3lqpGj62Cy8VjqOrKPnNPfJTfvxdhauxk57h5KjsYdhI9L57xJsa6q0NvPLPmkPs/y999jwubkCPHOeV+EXl4U57RVqUv2lncEbCEWIFN/mhwwjY3Z8o5Wd4o0LrCI8ZttidCAmXEr3CrD/NuM/P333yEHBDVTT1akrVCgqKgGkcmXHdnpt8pDF0/73MublNMLfv7IbLq/r+k/y2ev6l/3KSxOT/rWaEGl8xam1cf30qJDW+OmlyeunOco9isC9idfci7qUrGBSLOG+38pgIstQKOP1O1AeeFqxhLDGsA8E/PNWJfnnntOjKczZ84UMVO0cVNA3vrmm2/E5q+vAEIRrBnpQhHgDABhAWoaXWCbNYvfnS0JqgELAA2qIitBODTQpk0bAogoIwEXL16cwILFhhUTiBZoPXPmjE/VmAxKABUDLFZEIHhRlixSnKvHOLck6zSAlygbryq7/tpBzv+NY59kaUwkBGBh1qeteFl+Sb+FmaCtfQFQm90bqMK5egFHQ5/mbbT72F+U8tHzlOOp/5KtQBGy129FrtW/eO/H6wFebAEYY3X07IG9dOjjV6haiu93Ip76HvKzoygBDGP4SYXbBUssDUSbBjLzjDu6DRXgp/vsSUod/1y6iTLG1o3sWoQXlXIM+BfZW3QljKF0wvhCYLTpKeT2FLxOuAqxl6wgrA/Wf/MpVVg3l/I5Qi4xejPmzktJPR4X7YO1hI3ZJ7rCDHgX3McEkKR+L4i77uMHKfWbsQFSWrcsDWSNBirl9wCgAOlm7FljuFIJnDp5XPxqxzJKcbElkSVeDRTLnZ9uKVdHnOdjYO/Jhp0892ADf+6yOM7j8FgYdChXm+oVLSdcC49ZP8+TLor/n7pygWbuDfysPHNDZ9GDQxfO0LgNviQMbde6VGxItZmFnMrPENiyliSWBvDuNWLECIFNwOx9x44dIgBSVi/Oly1bNrEUn0W9tbHJBIY9SywNeDUABiXYmRBQvt98803vvcwcIBjTwoULRRGdOnUSA8uQIUNoy5YtPtdkHX/++aeP+T0iwq9axewElvvvv5/g53TevHn0wQcfCB+mMh+YohIcldcyu9djgCJ6fJMmTQIWrccARdu0flADFhLHNxFND24OwBDDSpclGTWwdu1aGjNmDLVr14569+4d9mc7Y42xcQXMatUlBRZIwHi3hAnSKSnexSKpj+xkgMo2GN3rMUDB1pfuU4yWE4/pMGUD00uVeGFcqH3KzDEWQTFmIlDBq6++Kl5gotHMLjN9DCWv3nzEGjfTNYkFdulvTV4N5GpKpomWvZYBivFSdXkVLe3MjnYAtJAEDFk/5pyq1Zm8bu0tDagawJiAuSWilZ8753EXYM1HPBoK13xk3759qsqj+hjPg3TPZ6ShmHsEC1xkpJxES1OxYsWIdtligEZUvVbhqgZUgAu+QvFDgihpUn755ReCr1A5YStXrpy8JfYS/MQJaOVff/219z5+nLQTV+/NKDnIM2qAtyVxHde8SAmiC/yCrhNEwX7TbZR05xByc1TulFf7UzIzROHVxN62B9Gt93vMvEc95NWTegBzvxyD2QSc5RrSsEl4PIqjUz9ytPb4t52/eRV98uZbYuI17/Bmmv8ruxSIYynOfrvgaP6KjlN6sBbgi+kCP1cPsiN6t+K2vzBHZf2wTX9yMTj0K5t0Tdq2lNqVrUn9arSi08wKeGRx4poEj2/aO6afGDlugscTF1weE+OjZNCrY1/K249QnlO+QT/wAeM3xXHXw+Ro2pFc+7ZQ6oTncTku5IE2bNofQErkKUgjm3SjQjwOwLT19XFjac/qdSLHi39+T7b9vwTIHXu3WpWuTsPYNBPmwc8tm0b/5bGvQHJu4c/v5wObDHcIehvd4j6R/rvdq2jarpWG88Z7wlgeN+WYic8oJueahYtT8tMTxCN27c0Hif4+afhxc/R4jH3/tmUW/C/k/JatkNIE5sxao1zYJ8WkftL6FGxcTEvms4M5d5vSNXyu4cTtZEuCVXvE9V733Ue5mKjxx7HdtIMjxIMlNXf/n+JerP6TY10OZnIGG+uQ5o1mPalsviKCJZqb/cWKuWfqVXr4j69iVQURb3csj5lmlAO8wSJbmNFYdKa1ANDo/FzislXwgyHl4MGDwqcGVtTg1wJ7sDbA6OzZs6dIhuBEAEPB9AJ7CcxJaRYvwU5cb9u2LZ0+fdrry3PatGmCHSrrCrRHvXv37g2URNxDvWDZYLVL1g02hcpA0ysE5SeccMR3XeGJl/1Gz4usa/vadPN4TmwvW1VkcQcIcOQ+6XGVgITwCwqfmPEmtusbesFPRHX+ZNNa8d2It376648/Z/w5OahR2zI1Rbb1J/f7gJ+4iO/l0sPbhancoYvx6ybAn96MXMdYFGy8UsvBuBwu1hw+HzNjIdLHrYQwPtryFUpXx7kAz3eaXztbiQrp6RPgCGAgwE8snry08jsO+vhX3Pa6WK78NIAjHcMsc9yGBZQq3cyE0OP+vECEl/2jF8+aMjMOoaqYzWJmzEQnw8lSx5gZ12Ohn6fCVqqSuCOCvDH4aavWgGxlqhB81bqP7mcXS9uJTh7Wze3Ne2i3CL5pr95IuF5CWe4je8m9ZzNRAL+PuoXG0cWLKVfpBx0w030tlZxzfhM97XbP3QIA3XTqIJlZUIlmNZkZ63pf31yAnyuO7qKlR3Z4XQZEc/+iqW0Ys8yMm0Z9W0ZTH622xL4GLAA09j/DmOgBAiCpwYlgPi59dTZt2lQ4CcY5nA1LABQd69OnD3344YeEKOwdOnSg2bNni/7ieNCgQVSiRAkx4USkNSlmaNMAVxGgyYigXICfEjBFmxIpwJERHWVIAxCldGWy8STUXrc52QFcHjtAzgVTfJOm+WwUE17fO+lnly94j22Fiir8P+/l2D5A5PKuzHZgcTNIgmAUNUtVJldND+/NVr4k2QuX9vYxxZVKu/8+7j2PtwM7m41UzF+MGharQDeVrELl8l1HBy+c1mUpneVAB+M2st9DS/xqABEpsRmVAgUKhA0AxWQY7i4s0WjA4PioLgzZrispQABNSeLUVqSk5/L/s3ceYFIUWxs+G8g55xwkipJEAZWgomLCrIgJRUUxoF4zoqio14BXFL2KP3pVTJgxIYgoJoJKkAySJee44a+vlhp6ZrtnenZ6d3pmvvM8s9PTXV1d9XZNbc3pE1QioFQRPBhpXjGv31+vnKMVoeUbN5PcMtU1goxqKn5W2ZIBHGvVAxIoShNRVE5wGXxkb0EG67cX/SR/73RvGRfa33ZV6+u5Ffv/x1iJoXgCn6NZ4+GBkZdJk7DGjMbVMtDoBN9IV2tGLUpZlznkaUk/pBA13cpViuGcHz+V7K+VNV7WQbNbaZ8zlbKznv6c3qpzXgx1lUDSKrlKcZr13nOSCyUqJSUIRDPXHVmlnvRpcKTyHNot/53/XUrw8bqT+J1sDIXc1J0MCZPc9JNl/EWAClB/3Q/ftebvv/+Wl19+Oap2wXLzvPPOCzrn888/D3zGIhGxeExGtb59+2oLT7jAI/M7LEU7dOigy0MZinNXrlwZUH7iAJIo1axZUxAfEUrTDRsOK4IQK5TiDwIZSqGXodzejWDxefClu1Wm4t1ml35PK1km77NyjXcU5fqcm52lkj2oaSsJszLCOjataq08HspNttg1D8twfDrLnsiGPTtkyLQ37A8mwV5YOZlg/ejOOmWlNOyXCbJbuSFRSCAZCLidH5GcBlYV+N+Z3qGnZH/+Wv7ul62gLaVwAJnipaRy+EyBbN4XNesSYHFe086iVx5hQnOPVg9Kpilr8USUsxq1lxbqIdhC5Zb6yXLlRRGDnHwoEcrKnZt1NugYquKpJOApgbTaeRagaRWrqYcXFSVn2VzJ/XuBiHpQnt70SMGDHp1QrlZDyXr1wcC14RlkkoGlK6tReAllL52jkvtskbSaDdSD+PZqjVVbMgc9IlmvDJPc5fMC53IjeQm4nevKFSsp17ftpUGMmfutwFqWQgIkkJwEqABNzvvqWa/gqv7GG9EpWZo0aRKkAEVg+SlTpug2tW3bVicA+vXXX/VnBJg/7rjjdIBgKEAhH3/8cUABigDlw4cPlwcffFCgjDUyYcIErfjEE/JQ8cptM7Refo6eALJx5yhXpDRYJKlFKxafxW5+VrI+GC25i38/XGGJQxY6IYrRwwUObeEHPaxFk1ABChcvymECWIwu37FRSqqMpIjfVKtMRXmi60Xy0tzJ8ufmVYcLcosEEpSA6/lRPfzJ+fVrHd8z/bjTJXftMsmZPfVwr5WyM/O8IXnzrNmrXJuTXSort/cKJZSiNwWkcflqcl7TTrJPue9CiRtLkAjETIZlPWTC0hkpQI9dTCQCATd2pbiEgjN3w+H/99mZxSSj79V5c2HTdjqsUs6MPO8Pcx76mv2DshD9fGxQt9PqNZPMy+6RtHIVJbPfYDk46paUdocPgpOkH6KZ665p3UNQHp4EXGMm6YBgt0jgEAEqQDkUCp0AFJvIwAjp06ePIOuoUYDClR1Kzo4dO0q1atVk48aN8v3338vmzZsFiZIgTZs2lVdffVVne//www/1PqsrJ+KE1qlTJyihki7EP3EnkPXWk4fboFw3M8+/WdIbtJDMy++VrDH3SO7qxfo4kiLpp/3FSxwub7dljifhk9nsCaMFL6v0b9BOcibN1bvSjmogGZ0OuYZZCyXp9rN/fBXoGRSgiPMHV9c7258uw1Scv2R2/w90nBtJTcDt/AgI2V++LuktO0la+cqSecEtktPlVDV/LhEpVUZZRbVT72XVj/5PJKPbmXnMlAtfssuW/bvloq+C50z0OfurP5WL62bd/Yzzj1H/WxJbSVo8PVNuPPIkyVRK7VfnTxWnWMlu7/eJKmxAelq6/LNnu0p0osYQhQR8RODgf26TtErVJXenineslKBBolzesz95WdLUOjJdWXUiYaRRgObM/k4OrJgnaWUq2Lq4565arOJcviqZFw/V3jZwk8/584eg6vlB5Oo7b5HMs/O88BKdh9u5DqFUOtdoLGuVp9H/Fk5P9G6z/SRAAhEIUAEaAVAqHoYycdq0aZ513er+DstNowzFBeDCPmjQIH0to9REvLjPPvtMLr/88kAbkADpyiuvFKMA7dmzp47dWbt2balVq5aMGjWqQArQkiVLypAhQwLXcdr46aefdIImayIPJEXC+eEE5U2s03DlUuKYylyc9fqjUuzW5wRJPTJ6XyhZ/zcir+tY5CLuk/oR7yjqyX+asfxMAddORw4peAA/1J+Y9Zk81fUSbfF1XpPO8rj6THFPAFkro0nQ4aUlPYLcR5orrT1B/Khoguhbz03Y7XDzIzql5ryDz9+ulJ/qIRIsn+ofIYKXklxlOY+51YQSyT2gHjiq/z2U5CBwWYuuUrtMJe2qPmXNXzF1Kk2d3aNuXkI5JPiIxZI0poYkyMnRzFtezpnAgzUmDATcillDuy3v23LqgTgeijsKYoD+/r2k97lMRD1YF7U21LFAVWIwUfNorno5CRSeuefdqNeScIsXKkCdUCX8frdzHR6wX96im2SrcTV6zjdyQMXXpxScANaZ0WRJj2ZdWvBW8UwSCCbg/j9r8Hn8RAKuCCBh0Pz58wNlly5dGtjGxrJly4I+mw9IdoQESE4TI+J/InlSrALF6uDBgyNWAyXmm2+qgOsW+fTTT2XOHBVfKIxAAWoWpcVn2fc1zOlJeSh9+z2S3riN5CorzuxDTNKzx0l6w18lBxk+nTgpV8fMF17QTLJ//UZn9ExKQJZOLVlxQHKX5mU7Tdu/VdLWr7YcTb3Ne6cvl1aV68iB7IOyOMJT+uKVl8rumnNUHKd9snjxL6kH61CPX5mTl/Al2h/Tp556qjRq1MgTbrNnzxYkvnMrmG9N8o9Umzft5scgblMHaOsoqVBV/fBXCT42r5XcrRtVERUjVClGM7a9ILm7tgfm1qBzE/TD4p3fR9Xy3L/WqERyeRaw6V8rpUip4EQoUVUW58IIBbJ4aZoslu9l/Z5t0kDFwQ6VcYtflQz1kGHzvl3SQM13KlysfLt6Xmgx/bmOUqS+v/R/evuDJb/KtgRNCGXbOQ93mnkzmgQdmGMHDhzoWSvef/992bZtm+v6EFsfsYJTYc5MW/eBZCzLU5Jmzd8gsktZi7qU9H8/IekVqqjwTEuc15su64pnsWjnxbBtzVZKZfP77J+Skp6R+B4Ebue6WrWPkLFzXpG9KrxI1t4dotTiQbJ23i/ywnfztIK0we48i+Sl2/6R5TEkoQu6QJJ8MHMmHtpgLnQrCI1Xr149t8VZjgQ8IZCm/lnyAbAnKFmJHYHRo0fL+PHj9aFTTjlFPxWCRSiGHRSYzZo1CzoNlqcm1ufIkSOla9eugeNbt26VM888U3++5JJL5Prrrw8ce+qpp3RMUOyYNGmSQLHppTzzzDNy2223eVkl6yIBEiAB3xKAtf3ZZ5/tSfseeeQRue+++zypi5WQAAmQgB8JlC9fXrZv3+5Z05o3b64e3uWFCfKsUlZEAiRAAj4icOONN8rQoUN91CLnpowdO1YnozzrrLMECZ8phUegYcOGhVe5qpkWoIWKN7UrhwXPl19+qSHAjahBgwby7rvvauUn4ns++uij+Z4S4SnQY489ps/BD3CrAjSeNGEFgMzzcMtEfNJoJNSKFVahfO6QRxCusaFuYynn+hpmMHHsOMMJHTv4TllDVDifmRpHEnnsYE7A/bUK54XDNBL53h7uReFsceyE58qx48wn9H8KSibSvBPafv5PPHyvOS8cZmG3FTovcOwcpsSxc5iF3Vbo2CnIb9zQ9Z7ddfywzxh0fffdd1qHEc5ydefOnXLxxRdr3QeMwSj+IkAFqL/uR1K1Zvr06QH3HbiBv/zyy7p/iA3y8MMP51N+4mCPHj3k2WefFbjyIFHS2rVrBXE+4y2IU4rXqlWrpH79+q6bg76GupFCgRqtEtX1BROsIEIZlC17OO4n/nEuWcKkDLiNeGgQOtY2bNgQ+E4l2K32vLmIVVyqVKlAvYgbiZAbFNGJ5sDHKuvWrRMsyBJB8GTdJMEz7cW9xT1OdcEPhSZNmgRhgJss5gaK6GSKFStWDEKB/yl8OCLaA4frkaChEfShRo0agqSaRqAESiQLTBgZWGPvYR2NNStFpEKFCtqIwcpi5cqVgRBV1v2puI15waqE2rVrl/79lYosQvvM9UgokcOfoRwOXY/ACv6ff/45XMjFVuhvHRenxKXIokWLorrun3/+GVV5Fi46AsEmFkV3XV4pBQhYkx+Z7mKBCVdIxPywEyg0evXqpQ9h8YlYoBQSIAESIAESIAESIAESIAESIAESIAESIAESKCgBWoAWlBzPC0tg06ZNgaQXyNIOd3c8mcYT6kjSt29fnQUe5aBEvfrqq4Oeakc6vzCPQ4H7/ffuEzKsX78+X+y7K664QhA/hCLy/PPPy++//x5AgcDZ0fANnJiEG7BaQhxcq9x8882BBwTW/am4DTZWa2GEqBg3blwqosjXZ3yn8N2yygMPPBBV4rhWrVpZT49pe8CAAXL88ce7rmPChAkyceLEoPJwPapWrVrQvlT8sGfPHhkyZEhQ1/H/5LLLLgval6of3njjDZk6dWpQ97/44osga/Gggyn0YePGjXL33XcH9Rjjpl+/fkH7UvXDCyrJ4qxZswLdh2tnNOuRaDK2By4SZuOtt97S3lBhigQduuOOOwSx8o3A0CA0eac5lmrv3377rbz99ttB3cb9btq0adC+VP1w3XXXBRIPgkG3bt0EsRkpIh9//LEg6a1V8L2CB1uqy/79+/MlEj799NMFv3Pdih+8PN22leWShwAVoMlzL33Vk6+++ioQOwnJj6JZZLRu3VoQ/HbFihXa3RexNk466SRf9A8Kuu7du7tui51LLkz9o6nD9cUSsGDoghQuOGSTdyPLlCmT747C1YR88rDgx4tVov1uWs9Ntm07V/EWLVrEbewgTlK4WEmh/H/77bfQXdKpU6eo6shXQZLssAtjgB9inBfybvA333yT704fd9xxQaFW8hVIkR127tD4XnLs5A0AxKi3Ctw748mmY8eO1uZE3A7NvAy373i2P2KDi7AAfk+ESrt27aR9+/ahu1Pys9X9HQAQgoZjJ28ozJ49O9+YwHczNJxIvkIpsAMPZEOF65FQIvzsRwJ0gffjXUmCNlnd36EAjVbwBMnIRx99ZDb5TgIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAJREaAFaFS4WNgtAbjuxCIXXXSR4GWVSpUqybRp06y7AttDhw4VvCgkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkYCVAC1ArDW6TAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAkkFQEqQJPqdrIzJEACJEACJEACJEACJEACJEACJEACJEACJEACVgJUgFppcJsESIAESIAESIAESIAESIAESIAESIAESIAESCCpCFABmlS3k50hARIgARIgARIgARIgARIgARIgARIgARIgARKwEqAC1EqD2yRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAklFgFngk+p2sjN+I5CZmSl169YNalb58uWDPqfyhypVqgTxKV68eCrjCOp7iRIlgtjgYLly5YLKpPKH6tWrB/GpVq1aKuMI6nvJkiWD2OBg6dKlg8r4+UPFihXztR9zKUUkLS0tH5tKlSoRzSECYBH6PxfMKCJ26xF81yh5BKpWrRo0djIyMhIKTe3ataVYsWKBNuN/JCWPANZOofMC1liUPAJgc+DAgQAOrM0peQTwmy107HA9kscmPT09H5vKlStz6JCA7wmk5SrxfSvZQBIgARIgARIgARIgARIgARIgARIgARIgARIgARIoAAG6wBcAGk8hARIgARIgARIgARIgARIgARIgARIgARIgARJIDAJUgCbGfWIrSYAESIAESIAESIAESIAESIAESIAESIAESIAECkCACtACQOMpJEACJEACJEACJEACJEACJEACJEACJEACJEACiUGACtDEuE9sJQmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQAEIUAFaAGg8hQRIgARIgARIgARIgARIgARIgARIgARIgARIIDEIUAGaGPeJrSQBEiABEiABEiABEiABEiABEiABEiABEiABEigAASpACwCNp5AACZAACZAACZAACZAACZAACZAACZAACZAACSQGASpAE+M+sZUkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIFIJBZgHN4CgmQgEsCmzZtkiVLlsjatWuldu3a0rp1aylXrpzLsxO72N69e2XlypWyatUq2b59u9SpU0fq168vtWrVkrS0tLCd27lzp2RlZYUtg4Oop2LFihHL+aUA+oS+uZHSpUtLiRIlHIvm5OTIggULNN8DBw5ImzZtpGHDhhHZOlYYpwPox5YtW6K+erFixaRChQr5zku2sTNlyhQ9f5x11llStmzZfP212xHrvBPvsRVr++2YJMq+devWyerVq/WrVKlS0qBBA/3CfBBOvJxbwl0nHse87FuyjC0v500v+cZjfIReE/f4q6++ksaNG8uxxx4betj2sxdzXjzHlhfttwWTADu51rS/SV6thZJpbO3atUv27dtnDyzMXqw1sea0ild8rXXGczsea030N57zZjx589rxJUAFaHz58+pJSgD/ZF955RX56KOPJDs7O6iXzZs3lwcffFDq1asXtD9ZPhw8eFA++OADGTdunIBDqLRs2VKGDh0qRxxxROihwOcbbrhBVqxYEfjstFGpUiX55JNPnA77bv+0adPkgQcecNUuMDr77LNty/7yyy/y/PPP52MEBdn5558vV111le15ftwJ5fg555wTddPatWunGYSemExjZ/78+XquwA+Qnj17RlSAejHvxHNsedH+0PGQKJ/xoGz06NEyY8aMfE0uXry49O/fXy699FLBtp14NbfY1R3vfV70LdnGlpfzphd84z1GrNd/8sknZfr06dKnTx9XCtBY57x4j61Y229ll0jbXGuGv1terIWSbWy9/PLL8uGHH4YHZ3N01KhR0r59+6AjXvANqjCOH+Kx1oz3vBlH3Ly0DwjQBd4HN4FNSC4C+/fvlzvvvFMrAaH8xA9WWH4aS8VFixbJ4MGDtWVocvVctNXmkCFD9A95/HPLyMjQ1ktQVkFZCfnrr7/kmmuukYkTJ9p2H/xgOZqMsnjx4pi79cMPP+jxZRTEsCyGMjk9PV0rnF977TV56qmnBEqzZBY7K+JkGjtr1qyRe+65x/V99GLeiefY8qL9iTref/zxR/3Qwig/YW1y5JFHSqNGjSQzM1Ng4T127FgZOHCgwNrJTryYW+zq9cO+WPuWymMr9P7ZzZux8g29Rjw/jxkzRis/3bYh1jkv3mMr1va75eS3crBa5lrT+a5gXMa6jk7VsWVHNXTe9IKv3XXisS8ea814z5vx4Mxr+osALUD9dT/YmiQgACueOXPm6J7AbfWWW27RP2Jzc3MFC4oHlfXn1q1b5eabb5b3339f4OaYLAKr17lz5+rudO3aVW6//XapWrVqoHuTJk2Sp59+WruBP/PMM9K2bdt8lrBLly4NKH369u0rzZo1C5wfuhHORTy0rB8+Q/kNqVKligwYMCBsk6AACZX169fLsGHDNB8olJ944glp0aKFLgZ3nOHDhwue2MPyuEaNGtpqLLQOv32Ga++tt94asVn4/rz++usBd/kLLrgg3znJMnbwHcJ93rx5c74+Ou2Idd6J99iKtf1OXPy+f+PGjfLoo48KxjfCo+D/wimnnBJoNsYA5szvv/9eli9frq2e77jjjsBxsxHr3GLq8eN7rH1LxrHl5bwZK18/jBn8oH7xxRf1g2e37fFizovn2PKi/W5Z+a0c15rh70isa6FkHVs9evTQoaLC0xNZuHBhwEgDBiwIMWWVWPla64rndjzWmuhvPOfNePLmtf1DgApQ/9wLtiQJCCCWyaeffqp7cvzxx2sFoOkWniB2795dHnvsMe0CvmPHDvn6668FStJkEFh8vvXWW7orTZo0kREjRmjFr7VvvXv31grfu+66S8fh+d///id33323tUiQZeyFF17oarESVIGPP8DNFQLlZr9+/aJu6dtvv62twTCWoBRp2rRpoA4oT0aOHKmVib///rtMmDBBLrroonz3IHCCTzagxHbD4t133w0oP6+88kr9XQrtguGL/Yk4dmDdBxcthJCAQsyteDHvxHNsedF+t6z8Vu6dd94R/C+AQLGJH2hWwcMSPNiAux2s5xHy47LLLpOaNWtaiwXmzYLOLUGV+eyD+V4XpG/JOrYKY94sCF8/DBX8v3v88cd13Nxo2hPrnBfvsRVr+6Nh5aeyXGtGvhtmzkTJgqyFknVsHX300YJXOIExAfoPwf9f/JYJjf8ZK99w1y+KY/Fca8Z73iwKvryG/wnQBd7/94gtTCAC+HEK1xyIk4Vf586d5aijjtJloKRKFvnjjz8CShvEqoPrpp3AMhSJkCB4yhoqxh0PlrFImpQsAqtfY9FnrDaj6RssXD777DN9ChI7WJWfph4wN/E/YVkG19pkEDylfuGFF3RXjjnmGIEC1E4SeezMmjVLLr/8cm0VDuUnLHw7duxo1818+2Kdd+I9tmJtfz4gCbQDyhtI3bp18yk/TTfwvbY+JDAWe+Z4rHOLqceP77H2LZXHlpt5M1a+8Rwz+BGPcC833XRTQPl58sknu2qSF3NePMeWF+13BcqHhbjWjHxTYlkLpfLYwtoLCk9YwMLQ4KGHHgryYjPkY+Fr6ojXezzXmuhzPOfNeDHndf1HgApQ/90TtiiBCRjXdygvkOzISbp06aIPLVu2TEJ/zDqd4/f927Zt09aasERE9tVwYqyXEHsmVMzCAq7viGuZLGL6hf6ESwDl1F8oixELEAIloJMgrIAJq/DFF184FUuY/Uh08Mgjj+hkYrB6QliF0HhMpjOGcSKOHcRuRQZwSKdOneT//u//dIgI07dw77HOO/EeW7G2PxwbPx/DwzLEiK5evXrY/xfog5kzsR06b5pxj2MFmVtwnl8l1r6l6thyO2/Gyjee42bBggU63AvagP959957r9x///2umuTFnBfPseVF+12B8mEhrjUj3xTzvS7IWiiVxxZyEyCBGgRJSGEVbyex8LWrryj3xXOtiX7Gc94sSs68lr8J2Jto+bvNbB0J+JIAnhzCRREC5aeTkgbHrXEt8Y80nLIU5RNBTj/9dMHLjZgEPg0bNgwqjsQ9iK0Dsf6Q37Nnj44biriWiSpmwYT2m/uN/m7YsEGQ9MQoLZ36hyyNRqxszD7zDmsxKKDnzZsn1mua44n2Dlek1atX62bD8tOqCLL2JRnGDkJHwAr0xBNPDDt/WPvtxbwTz7HlRfutPBJpG99VY9kcqd1mzkS50HnT+j0vyNwS6drxPB5L31J5bLmdN2PhG89xYa6NBwhYd/Tv318/SDD7I73HOufFe2zF2v5IfPx8nGvN8Hcn1rVQqo4tuL4jiRoEru/XXnutLehY+dpWWsQ747XWjPe8WcSYeTkfE6AC1Mc3h01LLAJwJdu9e7dutHHxduqBVZG3atUqp2JJuR/JPMAK0rJly6A+QtG1b98+vQ/u7+PGjdPuElASQsqUKaOVx3DzjhTHR5/goz/mh2adOnUEygw8hYUrF6w6oSyHCyxc25Hp2U4ZapSA6BIyv4cTjC8oQMEN7kyJlizK9O2ff/7RiY/wGRmxEcvKSRJ97CCjLcIahHtwYtd3L+adeI4tL9pvxyWZ9uEHF9zGjISG0Ih1bjH1+vE9lr6l6tiKZt6MhW+8x0uDBg0EMXStiRbdtinWOS/eYyvW9rvllMjlUnWtGetaKFXHFhJrwboYcuONN0rZsmVth3+sfG0rLcKd8VxrxnveLELMvJTPCVAB6vMbxOYlDgEEZjdSsWJFs2n7Dos/I3jqmCoCS05j8YSg4uecc05Q182PMewcNWpUIJ6qKQQFM2Lm4R/4eeedJ4MHD3aMNWrO8cu76Rt+nCKhiVXwVBSKcLx++OEHnQG8VatW1iIB5Tp2WsdPUKFDH6zHMb4SVQEKJTEUuBAovWEx5ySGL44n4tixWoU79dFuvxfzjnlwg/qtY8fuetbjXowtL9pv185k2vfxxx8HrLlPOukkHR/W2j8z9gs6t1jr8tt2LH1L1bFVkHkzEcdO5cqVCzxcY53z4j22Ym1/gcElyIlca+bdqIKshVJxbCH8EP7PQmAd2atXrzyANn/N/yQcKghfmyqLdFc815rxnjeLFDQv5msCzr8mfd1sNo4E/EcACy4jkRROcNsygkD+qSCISYaM7yZ+HdyZYdVnFevCAvHxunXrJkgaBWUgkvrMnDlTZzeHRdT777+vLT+QcMnvAqtWY+mLflWrVk2gyIAVK2Kmwu3/vffe05aha9eulXvuuUfeeOMNfcz0zSxKoTiOFBvVOr6MRa2pJ1HekSnyq6++0s2Fy+8JJ5wQtunJOnbCdlod9GLeiefY8qL9kRgl8vGff/5Z/8hCH6DwueWWW4K648XcElShjz7E2rdUHFvRzJux8vXRUIm6KbHOefEeW7G2P2pgCXRCKq81cZtiXQul4tiCJXl2drYe5UhgG84TJ1a+CfRVCmqqF3OeF3UENYofSKCABKgALSA4nkYCoQSsisxwlmo4D0osIyZrvPmcjO9YkA4fPlyQfRCCRD2XXHJJvq5aXW/ggmJ1eUbcSyhEe/furS1A4To+duxY6d69u++zxa9cuVIrLbHAgjLvmWeeCXLba926tfTp00ceffRR+fbbb3W2+Oeff14rjA0kM74ijS2Ut44vsE9EgULYfDciLUjRv2QdO5HunRkXKBdpbFjHhWGL80wdkc5HWWsdXowtc23UHen61mtb249zk1Fg7X7ffffpH2Z46PGvf/1LypcvH9RVL+aWoAp99CHWvqXi2Ipm3oyVr4+GStRNMWMj0pyDiq3zjpnzzPk4HqkO6/lezVvm+pGu7dR+7E9GSfW1Ju5prGuhVBtb27dvl88++0x/HRB6CzHYw0msfMPV7edjZlygjZHmHac5z4s6/MyIbUscAsmTYjlxmLOlSUrAavUZaZFrFtFAUbJkySQlktctuMkOHTpUpk6dqnfAmvOJJ56QjIyMfP0eMWKEIHP5+PHjg5Sf1oJQFiJRDARK0ETIdI7EJFBsvvvuu/Liiy8GKT9N32C1CU4mfAL6Zdy/UcaMr0hjC2Wt48sunijK+FnQb+OOhAzZPXv2jNjcZB07kTpuxgXKRRob1nFhnXdMHZHOxzWsdXgxtsy1Y2k/zk02mTx5stx22216DoDyExmujzvuuHzd9GJuyVepT3bE2rdUG1vRzpux8vXJMClQM8zYKOicZ87HxSPVYZ0zrfNugRp+6CRz/UjXRnHr9b2Ys2Npd2Gey7VmHt1Y10KpNrYQX9ustS+66KKIHlax8i3M70Bh1m3GBa4Rad6xzjnWOc+LOgqzj6w7dQhQAZo695o9LWQC1oUlFHPhxPyzRRkk9klWMXHFZs+erbt41FFHyVNPPeUYXByFEHgciYLCyWmnnRY4vGzZssC2nzeg8EVyLKfA6mg73OFh0QpBXFAkSzJSunRpvYmFBY6FE+v4S8Tx9csvvwRiniJUgJ2y3K7/yTp27Ppq9nkx78RzbHnRfsMiWd6RwXvYsGFacQFLigcffFBOPvlkx+7FOrc4VuyDA7H0LdXGVkHmzVj4+mB4FLgJsc558R5bsba/wOB8eiLXmsE3Jpa1UKqNLRgnQPC/tkePHsEgHT7FwtehSt/v9mLO86IO34NiAxOCABWgCXGb2MhEIGAs99BWZLoLJybTIMqEU4iFq8PvxxYtWiSDBg0KKPHguv7000970l9kfTWLNKuS0O9M3LQPLjhGrH2zji/r+DFlre/W8Wc4WY/7ffu7774LNBEKUC8l2caOdVxY77sdM+u4sc471jqsZezqsF7Di7Flvba1brtrW9tmbb9d2UTchxAZmCNNojg8EEG4DLc/yiL12WluiXReIhy361uqja3CnDft+CbCuHBqo3VsWOcVu/LWecnMedbzrcftzrfW79W8Zb2+tX6761vbZ9pvVy5R93GtWbA757QWSqWxBXd2xOCHHHvssZ78PjF3w4mvOZ5o79ZxYZ1T7PphnZOsc54Xddhdj/tIIFoCVIBGS4zlScCBQKVKlQIZlNevX+9QKm83nlYbsf6wMPsS/R2JOxDDc/PmzborSFT0wAMPBMXSirWPxgoSSoJkFevCAbFDjbgdX/Xq1XNtPWnqjvc7rFd//PFH3QwkyUJGTq8lmcaOF/NOPMeWF+33enzEoz4kpEHysw8//FBfHtbiUIS2a9euUJpjnVsK5QJxrNT0LZXGVlHMm+aWGr7mcyK+xzrnxXtsxdr+RLxndm3mWtOOivt9dmuhVBpbhfnQCHfBjq/7u+Ovkl7MeV7U4S8qbE2iEqACNFHvHNvtSwKNGzfW7Vq4cGHY9v3111+B44hpmUyCBSmyvSPYNdzrkLjjuuuuC5tVEf3fsGGDVpLedNNNOrlROCbIdGuCaSeCAhmJKe6880655pprAkphp/4hMYWRBg0amE0xYws7FixYENgfuoEfwuaJNuKtJpqgbyZT5DHHHOOq+ck8dtwAMGOjoPOOOR/XisfYMtcvaPvdMPJzGXxnMWdOnz5dNxPf25deekmsP0Sd2u/F3OJUd7z3e9G3VBlbBZk3veAb7zFS0OubcYHzCzrnmTriMW+Za8fS/oKy88t5XGvmvxNerIVSaWzNmDEjALFz586BbacNL/g61Z0I+83YiGXO86KORGDFNvqbABWg/r4/bF2CEejatatuMdwDrErO0G4YCzckeKldu3bo4YT9DMUbknUgQDaS+owcOVL69u3rqj+VK1cWxDBD5uPPP/887DlTpkwJHE8EJR8UHD/99JP+oYVFu5PACswch6sIrMCMtGnTJpAB2ihKzDHrOxZ0uB4EMVcTTebPnx9oslkoBXY4bCTz2HHoctDuWOedeI+tWNsfBCMBP2CeND/EoPR/7rnnBJYSbsSLucXNdeJRxou+pcrYKsi86QXfeIwLL67pxZwXz7HlRfu94BivOrjWtCfvxVooVcZWTk5O4HdazZo1A2G17Mnm7fWCb7j6/X7MiznPizr8zont8z8BKkD9f4/YwgQigGzVsHqEjBkzJij7punGN998I+bp2fnnn292J/w7XD2Q4Mgo35DEo0uXLq77lZmZKR06dNDl8ZR1woQJtufC+nPs2LH6GBTIZ5xxhm05P+20WjK+/vrrAQvH0Da+9tprsnHjRr37yiuvDIwl7ACfXr166WNQkv7222962/oHlpOvvvqq3gUFqtfxM63XKqztefPmBap2qwBN5rETgBFmI9Z5J95jK9b2h0Hj+0P4HuN/AqRly5by2GOPiTVTaqQOeDG3RLpGvI570bdUGVsFmTe94BuvsRHrdb2Y8+I5trxof6wM43U+15rO5L1YC6XK2Pr7778Da3GuNZ3HlPWIF3OeF3VY28RtEigIgQyVXfTBgpzIc0iABPITQMZtWPHNmTNH1q1bp58uHn300TrTOzK/T5w4UR5//HEdF6ZKlSo65hsyDyaDfPHFF/LBBx/oruBpaoUKFWTmzJkRX4hxl56e9yymefPmmhEsSGfNmqUVAS1atNDHkSAEFqJwJd++fbu+ztChQwXn+F3w1HjLli1a8b1z5075448/BJarxsoLFsNIdmLi/8H1FaEDDBfTvyOOOEI++eQTrViHFWydOnXExPlcs2aNHk/GnW/gwIGFFj/QtKcw3l955RXZsWOHDpmAcAhYjLuRZBw7s2fP1hbR6D8eljjFu/Vi3onn2PKi/W7GiN/KHDx4UH/PMd4heAC0ePHiiHMm5se6devqc7yaW3RlPvvjRd9SZWwVZN70gq/PhoxuDh4kQpo2bSrHH3+83rb7E+ucF++xFWv77Zgkwj6uNcPK/6LqAABAAElEQVTfJS/WQqkwtuB1MXXqVA0T80THjh3Dgz101Au+ri5UhIWKcq0Z73mzCLHyUj4mkKaepOX6uH1sGgkkHAEoOh999FGZPHlyoO1wZUZCIGMdiUyco0eP1gv0QKEE3+jfv7/giWq0MmnSpCCLJyxIhg8fHrCehYIY/JD4x/CDhRQUhIlk4Yi233LLLVo5bhhBCQ4FnzUpFhZheC4FBbKdYNGGhFJQpEJKliypXeNhNWukT58+OhSB+ZxI7yeffLKO7wrl7vjx46NqerKNHVg6mx/z7777blBIhFAwXsw78RxbXrQ/lInfP+N/BCzlo5VLLrlErr/++sBpXs0tgQp9tOFF31JhbBV03vSCr4+Gi25K9+7d9bub/4OxznnxHluxtt9v985Ne7jWjEzJi7VQso8trC/xOwxy//33C+ZQt+IFX7fXKopyRb3WjPe8WRRMeQ1/E6AFqL/vD1uXgASg0OrRo4eOJ7No0SLBRL9r1y6BBSPkuOOO0wo+ty4XiYAAP6Kef/75QMbDaNo8YMCAICs/WD/27t1bKzyREAhxemDxCX6IKwrLyREjRkinTp2iuUzcyyI0wqmnnirVqlUTxGuDpTASOe3evVu3rUaNGtKvXz+56667pFSpUo7tRcxYjC+MLbjLw4rM1AG390GDBgmsP0OtRx0r9NEBuPAbhR8sgzEOopFkGztun8qDkRfzTjzHlhftj2as+KEsHv7AGjxaadu2bdD859XcEm07iqK8F31L9rEVy7zpBd+iGAfRXMP8D4lkAYo6Y53z4j22Ym1/NFz9UJZrTXd3wYu1ULKPLWSAN6FDrrjiCoFBglvxgq/baxVFuaJea8Z73iwKpryGvwnQAtTf94etSwICsFxcsmSJdoOHu3LVqlWToFdF0wUoCFetWqWVoViMYdGBf5yJLjC8h8UmFLxQ7MLNH8rLaAXKdYwtWBfDJRYvKIkpopXLyTh23N7bWOedeI+tWNvvllOylfNqbvEjF6/6xrFlf3e94mtfu//3ejHnxXNsedF+/9+lwmlhsq41QcuLvnFsOY87L/g61+7/I17MeV7U4X9SbKGfCFAB6qe7wbaQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAl4SoBZ4D3FycpIgARIgARIgARIgARIgARIgARIgARIgARIgAT8RIAKUD/dDbaFBEiABEiABEiABEiABEiABEiABEiABEiABEjAUwJUgHqKk5WRAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAn4iQAVoH66G2wLCZAACZAACZAACZAACZAACZAACZAACZAACZCApwSoAPUUJysjARIgARIgARIgARIgARIgARIgARIgARIgARLwEwEqQP10N9gWEiABEiABEiABEiABEiABEiABEiABEiABEiABTwlQAeopTlZGAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTgJwJUgPrpbrAtJEACJEACJEACJEACJEACJEACJEACJEACJEACnhKgAtRTnKyMBEiABEiABEiABEiABEiABEiABEiABEiABEjATwSoAPXT3WBbSIAESIAESIAESIAESIAESIAESIAESIAESIAEPCVABainOFkZCZAACZAACZAACZAACZAACZAACZAACZAACZCAnwhQAeqnu8G2kAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJeEqAClBPcbIyEiABEiABEiABEiABEiABEiABEiABEiABEiABPxGgAtRPd4NtIQESIAESIAESIAESIAESIAESIAESIAESIAES8JQAFaCe4mRlJEACJEACJEACJEACJEACJEACJEACJEACJEACfiJABaif7gbbQgIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk4CkBKkA9xcnKSIAESIAESIAESIAESIAESIAESIAESIAESIAE/ESAClA/3Q22hQRIgARIgARIgARIgARIgARIgARIgARIgARIwFMCVIB6ipOVkQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJ+IkAFaB+uhtsCwmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgKcEqAD1FCcrIwESIAESIAESIAESIAESIAESIAESIAESIAES8BMBKkD9dDfYFhIgARIgARIgARIgARIgARIgARIgARIgARIgAU8JUAHqKU5WRgIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk4CcCVID66W6wLSRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAp4SoALUU5ysjARIgARIgARIgARIgARIgARIgARIgARIgARIwE8EqAD1091gW0iABEiABEiABEiABEiABEiABEiABEiABEiABDwlQAWopzhZGQmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgJ8IUAHqp7vBtpAACZAACZAACZAACZAACZAACZAACZAACZAACXhKgApQT3GyMhIgARIgARIgARIgARIgARIgARIgARIgARIgAT8RoALUT3eDbSEBEiABEiABEiABEiABEiABEiABEiABEiABEvCUABWgnuJkZSRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAn4iQAWon+4G20ICJEACJEACJEACJEACJEACJEACJEACJEACJOApASpAPcXJykiABEiABEiABEiABEiABEiABEiABEiABEiABPxEgApQP90NtoUESIAESIAESIAESIAESIAESIAESIAESIAESMBTAlSAeoqTlZEACZAACZAACZAACZAACZAACZAACZAACZAACfiJABWgfrobbAsJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkICnBKgA9RQnKyMBEiABEiABEiABEiABEiABEiABEiABEiABEvATASpA/XQ32BYSIAESIAESIAESIAESIAESIAESIAESIAESIAFPCVAB6ilOVkYCJEACJEACJEACJEACJEACJEACJEACJEACJOAnAlSA+ulusC0kQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAKeEqAC1FOcrIwESIAESIAESIAESIAESIAESIAESIAESIAESMBPBKgA9dPdYFtIgARIgARIgARIgARIgARIgARIgARIgARIgAQ8JUAFqKc4WRkJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkICfCFAB6qe7wbaQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAl4SoAKUE9xsjISIAESIAESIAESIAESIAESIAESIAESIAESIAE/EaAC1E93g20hARIgARIgARIgARIgARIgARIgARIgARIgARLwlAAVoJ7iZGUkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAJ+IkAFqJ/uBttCAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTgKQEqQD3FycpIgARIgARIgARIgARIgARIgARIgARIgARIgAT8RCDTT42JpS3//POPzJgxw7GKtLQ0KVOmjJQvX16aNm0q5cqVcyzrxYHs7Gz58ssvdVUNGjSQNm3aeFFtkdaxcOFCWbJkib5mr169pGTJkkV6fV6MBEiABEiABEiABEiABEiABEiABEiABEiABGIlkDQK0EWLFsnIkSNd8UhPT5f27dvLvffeK1WrVnV1TrSFoAA17TnrrLMSUgH6/fffy+uvv6673rlzZypAox0ELE8CJEACJEACJEACJEACJEACJEACJEACJBB3AkmjAI2GZE5OjrYWHTRokDz++OPaIjSa81k29QisXbtWli9fHtTxdu3aSdmyZYP2hX7Izc0N3aU/wyKZImLHh2zyRoYdGxwhH2c+ZOPMJpHGDsd+3n10+mvHh2PfeeyTjTMbHCEfZz6JxIbzQt59tPtrxwblEun+2vXLq312fMgmj64dGxwhH2c+ZJPH5q+//pISJUpI48aN83Yc+rt37149ftx41q5fv15q1qwZdH6kD/v379fXjVQulY8npQL0nHPOkQsuuCDovh48eFAw4NasWSMTJkyQuXPnyoYNG2Tw4MHy9ttvS+XKlYPK84NoxfDJJ5+sUbj5kiYzs3feeUduu+22oC7+8ssvAsvYcAJl+86dO4OKYDIsVapU0L5U/bB7927JysoK6n7FihWDPqfqB7OAwOILL1iuUw4T2LVrl8DS3gh4VahQwXxM6Xd8p/Ddskrp0qWlePHi1l2+3d63b59gAWcVhK3JyMiw7krJbcwF27dvD+o77ivuL0X0Ou/AgQNBKDAvmPk06ECKfeB6JPwN37Nnj+C3glUSaT2yY8eOoIfKmC8LO9yXlZWftzEn4DegVWDAkJmZlD+Drd10tR36PwVcIhl4uKo4CQpxPeJ8E71aj6xYscL5Igl85Pjjj5cmTZrI+PHjC9yLTp06SYcOHeTBBx+MqAjFb6LXXntNpkyZIm+++WaBr+mHExs2bFiozUjKmR//8OvWrWsLrlWrVtKjRw8ZMWKEfPvtt4IFz0cffSRXXXWVbflU3glOeFFIgASKngAWFliw4weZUYBiQUpFaNHfC16RBEiABEiABEiABEiABEggNQnccccdUXccFpw4Dw+qa9SooZWZXbt2jaqemTNnysUXXyx33XWXnHLKKbbnrl69Wh544AGZM2eOVrraFuLOAIGkVIAGeuewgSdbsBKFAhQCE2UKCRQ2get+SeynMYXNh/WL1ChVXp7pfqmkp6XLGwt/lIl//xGEpWG5qjLyuAv1vhfnfitT1ywIOs4PJBBKYMwxl4buSqjPpR+/UrcXtr6H7X3j14W0xm2k2DUPS6560n7wwUtEsoKtDYuiZXa2nm5bMeDE3kXRxJS+RsXipeXq1idIp+rBbm8vzZ0sU9bYrzcfPuZcaVaxpvy1ZY0M/+2jfPyqlCwrT3a9WEpnFpcPlv4m7y35NV8Z7vCOQCLPm2bOBA2384IduczrR0p6/SMkZ/k8yXr5vvxFKlSVYreMkrSSpSX723cle9Lb+csUYA/nqAJAi+Mp3Wo1l8tbdJdyxQ8nyt2yb5fcMHWcbavSJE2vc2uWriBTVs+Xl+ZNCSpXrlhJfbyseg83ZwadxA9xJ5DIc6ZbeN99953booFy8MaynvfGG2/INddcI9dee22gTLgNWH4+9dRT2pv0vvvukx9++EH+9a9/BVlof/LJJ7oMjPogzZs3D1cljykCKakAxZ23xmOAS3I42bp1qyAh0OLFi2Xp0qU6m3yzZs2kdevW0q1bt3CnBh1DDMlp06bJggULZNu2bQJr1LZt2wrMmyO5r8HdE4N+5cqV8vfffwuy3iOBEyxdYSZ80kknBcV7gAukMX9G7AinJwamgVAG4+kBrMsuvVQpYNT77Nmz5c8//9RFzj//fMc2gg3KwYQd7t6NGjXSTx+6d+/uaK79888/C7LMQ3A9JzeUqVOn6nrhytO/f39dHn/gzoLQBZCePXvqEAYffPCBwC29TJkyArNz9LlYsWK6DP+QQCIQOKPR0Vr5OXvjinzKT7R/xc5NMm3tQqlUooyUSE/Z6TsRbiXbmKQE0mo10j3L3bg6LsrPJMWaNN3qWK2RXN+2l5QpVkJb7n+yfLacUr+NlFSKSycpkVFMGpevrg9/tXKObbHNSqEwd/Nq6VyjsSpbzbYMd5KAZwSUMiutTlNdXc5PE+2r3b5Jcpf+KWmtu6iyTezLcG/SEiiWniG3HdVHjq7WUPdx7e5tsnjbejmhTouwfW5duY5A+QmxeyC08+A++WX9UulVr7WcXL+tbZmwF+BBEigkApF0KaGX/eqrr7ROArqijRs3autMePWNHTtWBgwY4Cq59Omnny7HHHOMPProo1qH9OWXX8rvv/8uw4cP17os7IfLOwQe0AjX17dv39Cm8HMIgZT9BW0Ue+DRpUuXECyHP0LpiERJUFhaBYo2yLHHHqtNksPFEIX76scffyyjRo0Kii8EM2XEljziiCPk2WefDdLmW68FZSHasGnTJuvugAIRO9966y2d1R5KWQgUijCZhhIT8TuhjHRSsiLW2pNPPqljxoHFZZddpuuYMWNGIAv8aaedlu/8JUuWyNNPP62/0PqEQ3/mz5+vt/773//qGKtnnXWW9bDe/vHHH3XoAXy46KKLHBWgkydPFrxgOh6qAH3llVd0XVC4YgJAXFcjP/30k1ZQ4xiFBBKBQLqKYXlCnZa6qd+sOjyWQ9s+es6k0F38TAIkUEQE0mofUoCuXlJEV+RlEolA++oNtfJz096dMkZZfM7dslpOUj/kw0mJjExt1VmpZBlZun2DY9F9h6yNS2eGf2jvWAEPkIBbAkqBnz35HUkrV1lyVi12PCt3/968Y6XKOJbhgeQkAAtNKD9z1G/c75Rl+7gFP0jPui3lBAmvAIWlOwRz5CKlMLWTn9Yv0QrQRuphT7WS5WTjvuBcCnbncB8JFDYBhE+MRqAAhRGaOW/z5s1y6qmn6vwF0AHBAM6NwOAN+pbPP/9cW3rCrf66666T8uXLB2LCwxgMrvYoS4lMICUVoOvWrQso9qAcdFKAwsLwhRde0BSRtAaDFpafsHKE9n369OkCRdsVV1wh48aNk0qVKtkSnzRpksA8GVaMRx11lBx99NE69ihMomHJCUvIoUOHyujRo/MpAjHYR44cqetFMPY+ffpIvXr1dF3ITP7NN98I+rNq1Sr9NABtNokioLSEAhQBnGF56vTkAspIkzAD57gRKGOHDBkSSPCDfiFILxTB6A+eRoDTv//9b1m0aJH+UrqptyBlEFzYKD9xnxA3EUplN8pPWNbCAjWS4MlN/fr19aSFRFoQMAtNcBRaD5TfFBJwQwBWnXiijjHz15a1gVMqlSgt9cpWkTW7twqsgCgkUBACmBdDEwuFqweW9F7Fm0VgduOaE+6a5hiStfhVAhaga5aqx+2VJP2IDpJWva7k7lYJSNYtl9xl82gZ6tebVwTt2rh3h7ysXDoRniQ719043nFgr0xYNiNs69LU0eaVaukyy3Y4K0nDVsKDUROItMazVohEW14mjsGcaU30Z72W3ban683d2yVn8nt2lzm8T/U3vUGesiuXD4QOc0mRLYy3H5RH0ofLZur1qdtuN6mQZ+2+fk9wMj/r+ev2HDY6qlu2MhWgVjg+34aFYzTzZiolWa5SpYq0aNFCh16E/idaMdagAwcO1Em9TfIyWH0iRijFPYGkVIBC4QaFo1XwgwqKQLh5f/3111pJhoEIy0o7bTkGptXCEOVq1cpbfKJeDDTUA+UkXORfeuklbQlqvabZxiIGWvoXX3xRK9HMfiReghIRCkNYTcIqtX379uawVoQYN3YEzoVFZaiS9corr5S7775bYCUKRSgUssYt/8QTT5RnnnlG//BEW50UoHhCAUEbzbmBRjhsoN+Y4PADGX0499xzg0rCWhOxKsy9QDb5du3aBZXx6gOeotSuXVsH/0VYAYQIwL12I1hcIiSBG8Ekbc0QijEVzeLUzTVYJnUJVFYKUMheZeWzN/ugdFVxlc5v1FFqKiWLEfy4fmnuFG1VZPbxnQTcEMCPlXjNV/G8ths2rssoS7206vV08fRWnSXjtCskrViwa3PuprWS9d5zkrtyoetqWdBbAjmzVkjuhrwf1+ndW0hamaKzmIQyoDDkROUdYNxG/9i0sjAuwTptCEQzZ0IB6qX4fY2Z3qGXpFXJ+12Us2i2l11nXUVMIPdgtuR8e8jzqGIZyejSNGILth3YI88XwCOpfPFSuu6dBw9ZD9tcadfB/YG9iH9MSRwC0a73UD5Z5ZFHHsn3UMzoEapViz6UDXRT8Hg1hliGG/RL0FEgvw3FHYGkVIBCGYhXOIGLOAYRLAXtBJafiDMJa0pk1bIqP015KPUQExTu5xMnTpR+/fo5Bp6FAhUWhFaBSzoUmMjqBUEyJqsCFC7ssOyEIFZEqPIT+9GPCy+8MNBfKP+MEhNfhl69esmnn34qcGffsmWLttDEeUagvDXu/Igj6iZmJuKFmnOgVA1VfqJu8Bo2bJhuNxaQCOALK1mvF4imH/fee692ecfnhg0bmt18J4GEIVD50CIPC78+9Y9UQeW7KdeiHK3Qx4OG2nXqSDWVJOnejmfK/y2YJk6x4hKmw2woCSQYgbQa9SVNrQkg6c2OktxtGyV7qYrZuGOLpNVsIGlHtJe0qrUlc9AjkvXKMMlVyUMoRU8gd6Oyxl21Je/C6od9ogvcQAeo/weQn9Yvlt+pAE30W5rw7UfMz4y+V+l+ZP/5g+QumpXwfUrpDiglVGDO3JdVqCiQyA2y84Czocp+ZQSQlZMtmcorqkQmczkU6g1h5YVGAHqiUHn11Vdl2bJl0qBBg9BDYT9/9NFHOlyi8diF7gcWoYgFCl0UdFrw6IXxGTyGKeEJpIc/nLxHkSToxhtvlOeeey6fVQwUdkjsA4Frd9Omzk/CMPggeILhpHSFW3ibNm10udA/1mRMO3bsCDrcsWNHrViFJardl8gUhnWokVAXR+PSjifJcMUPFewzT7hN2dAyoZ+Nuzn2w4rVSaDwNe1GAii4kReGgO+RRx5ZGFWzThIoMgLGAhRPu69o2V3+3LxKrn/jGR0e49Zbb5WbRj+q4yXhIcKlzY/TGeOLrHG8EAmQgBj3d6DI/uFTOfj4tZL9/n8k++s3Jev1RyVrzN2Su3ObpKkfbZn9BqsnlMHWoURIAtESqFW6otzd4QwppcbStv27Zez8vLVptPWwPAl4RgAPea64X9JKlFLz3VbJ/vhlz6pmRclPoGRGnkJzd9ZhK0+7Xu85FPO4OBN+2uHhvgQlAOM36ISQsMiNwLt38ODBAmtSKD/hvfyf//xHbr/9dmnZsqX83//9X8DyE4mj4aFsjNTc1J+qZZLSAhSWmEisYxUoKBEDDRaPiN+JWJmw8Hzvvfd0cqGHHnooUBwmxlCQQmB1aU2YFChk2YAVJsrDvd5OQi0/rWWsWnq0L1TwBQm1UoUyc8OGDTojPKxGf/3118BpOGYVfMlwfWSPhxv8BRdcYD0sxv29SZMmjtarQSeoD8j2DgEbBPcNJ/hyfvHFF7oI2lC9el7sl3DnRHusjrKMK6jAwteqhHaqB9azYG7GBcpBERUpRh7GXTKb9zvx4v7oCWQoK08I3tepbJr/nj1R9u89HPNz4/at8uSsz+XZ7v11ko1zm3aSF+Z8G/2FeEZKEsB8VVgW+G6ARporrXWE/h+zHovnds7s7+TAinnKpbqCrYt7rkoWkv3Zq5J58VBlCVpL4Cafo6yjKCRQEALNVbKQO44+XcqpjNzb9++REb99IsiQTCk6AtHMW9GUddMD1BdNnUUxb6apmJ+Zl92t5sDykrtrm7Z0lz1MUOPmfrJMHgHMYVVLlZMShxShTlyMovSAsgalJBaBaOateK5LE4Eq9Fkmhn6PHj3knnvuCbLwhLcv9iFT/MMPP6x1WkiYhCTbFGcCcVGAwkTXmlUdyjcEhXUryKJltbZEUiCrIAi5ncu6KQPLyhNPPFH+9a9/aaUWEvZAW47BAzFu59iGhaSd5SSOhYqTAhTxKZ3EumBBv+wE8SLQht9++01gSQlFIpS3bgWWnWPGjNGxRnGuUchCkYn4oxAkZkLCJQgSLZlESnpHyB+42UPCMTanWMvg2mDvtYTe/2jqx1gxCtpw5yGWKoIMWwXnIm5qOIF1bTTBoMPVZXeslFpAQGFmjZdjV477/E9gy77dgUZO/PsPOajcf0IFC8epaxfIaQ3aCdwiCypItgT3ouSNvFNQMsl7HhLEFS8eH4tEPCSMNFdayUebsMl6rt5Wlkmi4nV6/sMc38nN6yVXvZwECs/c825UsUFLaLd4oQLUCVVc9qvHAFqhiFjLdnOsU6MwZ0ZT3qket/uPqdFEBrftLcXVOEa25MdmfhpVohG312G58ASimbfC1xT9UVgKRSNIiFGYD9zT2hwrmRfcouMe527fLAfHjRDZkBemK5p2smxqE9iqLNkbSTUpm+kcmxnzLeY+iLEETW1qidN7rDOjnbsSp3dF31IoP8ETybLPPPNMxwYg5CGMzhAS0M6gzvHEFD0QFwXo66+/rpP+GOZt27YNZFs3+8K9I6YlYigYgYLPxL00+yK9w60dA8kkOkI2daMAhZWoEfxoxI83N+KklAwXV9O4n6N+KAhDBdaniEFqpxyFchGu3+gLMsg7CeJ0vvzyywJlKyw+r7nmGl0UFqEQKDthVm2yzffu3TusAtRkHXMzwYGfkcL6Qrpph2lDMr2XK1ZSnup2iVZk3TB1XDJ1LSX7ssWS4X3Vri2ODNbsypuf4BqJH/PKxtixrPVANfXEvV/jjtKkQg2pW7aSylCcqy1NEUt08ur5ruux1sltEvAdgdLlpNit/1E+6llycOTAuDQPClLEBJUq4T0k4tK4FL9ovyYd5fymnVUyuckyZc1fYWlUKF5azlXlO1ZvLJVLltEx6xZtWye//LNUvlfZjwtLTlcPuPof0VVbbK/YsVFGzvxMkHCEQgLxIpDe7cy8pG/KkwBu72kVqkh6naaSs25FvJrE6/qcQO0yFWVgqxPztRJrV8jR1RrIA53OlvGLf9bhnawFy6oHiEYiucqbcnwngWQkAD0P4nzWrVs3YvdgcIeE2cagLeIJKVzAnWavkAEhizfci926RyMJjxfSpUuXgALUavVptVq87rrrdHIjL64XbR2wtESCJGNBeNxxxwnaDItZvMqUycsaDatQowC1e/qLLPc4b/r06QJFLxSgKGfc31FviRKH/9lEaie+YLAeRaiASGItY3X3t55ntYK17se222zuoecl++fMtHQZ0u5kQTZFq+Is2fudzP3bvP+wu3uFQ1ky7fqbrn6AQHYc2Otaadmuan25qe1JUla5UkLgTllaLTDrl6si17Q+UTrXaKx+ZH/qUpWqq+AfEvAfAWUxot3PyyoXdWWh5Lkoa3spfcjqX7l/OkmaUpZpUcmRKP4hcJSaB89p3MFVg2qUriAPH3Ou/h+LEzDfllEWSx2qN9Kv2mUq6R/uriqLotCAI7rJaQ3b6TNmb/xbRv3xleyjC2gUBFnUawIZp18lGd3O0NXmrF6iYiE39PoSrC8JCTSrUFNaVXYOUVZOrXNxvHyxw4YyBkOlEof+h6odf+8shP/l5kJ8JwGfE4ABWziv3NDmw2jvrLPOCt3NzyEEfKEARZu+++67fPEpQ9qqPyLTFZRvXohRLKKuatUOu5NaXaoXL17sxaUKVAcyfpk2DhkyRM4//3zbeoxFJg46KRNhJQsFKILpwu0dyZKgdIYgkZM1pIDeGeYP+BgFKK4XLtYHrmcEgXuNWGN+WONqmuPm3RoqwexL1Pcxx1yqmw5ls9UyNtb+IHv4+FNUwo0ElF27dgXFVUUXnBTlCdi9Ajf51qP6aC4IaP3ipLm6nlNrt5ZLT7w08LAilvteoUSwax0UpG8n2BjC3Gi1oMecUqFChQIzT6YTETbFZIpM9H7t+ddruguIhx3NIhAWSsUf+zCu3c+A1ZR6eSl4eGn9n4+6o3E5G+9lY3xYF9zFnvr1KfljZd6P5uHtztBx1K1rDjR7UJue+uW2C3jYaJWzlSIVr2gk2mvCQur/el8bzSXClrULyeP1eiRsA3x+EHMm5s5EFzNnYr50m2jDbZ/T6zYNFM08V6078fJYCmOOwm+eUC80hLFy6+HncRd9V93atWtlyLhpul2NylaRYV0vF/ApqGB9en3bXq5Ov739aWHLjVJx7+MpdiF5ol2PxLP9hXltu/VIYV4vFeuOZt2binwK2ue8rBsFPTvG8+C6DEtGCOJwuhFj/RkurqabelDGqvSzZmlHVnGzaPjpp58CwWft6l22bJlAuXjllVfqxEp2ZQq6b/bs2fpU/Lg5++yzHav5448/AsecFKBdu3YNKAeQ4d7wRiIj4/ofqCTCRsOGDXUJuPyb+2F3ChSbX375pT6EPlgztSNorxEkGLITWH/GUwFt1ybuIwESIAESIAESSAwC/PGQGPeJrSQBEiABEiABEiCBoiAQdwvQnj17Cqw6586d68oN3ijcEKcSsUQLInhiMXHixECGLFgGhCbn6d+/v7z44os69ibijd500035LgVl4wsvvKCtNGGNNGjQoHxlYtlhLCuhaIQ7PGJ9hsqsWbOCODg9vcZTzpNPPllnvYe1rckohvig0T4B7devn7z//vv6aSrYQLlqF4fz448/FpMYCm721jJWBfa7774rd9xxR1DXwPaRRx5JiqfxpmOlH7/SbIr7FFaHTsksLpmX3inpLfIsTnI3rpGclQslo0NP7erpVay7ASf2DrSRG0VPAEmtnj/hcp3lfdWerfLWqpmBRny/ZZl02PmPtCtRXzbs2SH3/fK+dssMFLDZqKKewuPpeboKmTDslw9k8fb8YStaVKwllx5xnKprn4yZ+y2zDNtwTORdxvI8Uftg5k2kBMMrSDycF93MfdVKlpORx12ov5/LVWzGf8+eKJstsXtPb3iUXNr8WP19e2fxL/LhshlBzeWHoiGQvXW1vlCnTp2kdoN6OpYm1n2fLJ8tp9RvIyXVuAkXA/TBzudIi0q1Zc7mVfLIjE/yNbqycs8creZprB2fnPW5zNy4Il8Z646xPQfqkCNO10RIm393vVhqqph5mNvHzJssOaq9TnIwJ0uWbs/z4HEqw/2xEUjkedPMmSAQ9VrTYFPhRIrd8pykVa0luWo9nqbCf+A7lPPH95LeqoukFS8hWVM/lNwFh+a4rIOSu9objzk3c7FpJt+9IZB7ICtQ0fJdm2XgjwXLK3BqgyPl8hbddWguZHFHqKWnZ38hv25YFqgfG73qttbhl5BY7tnfvwzMoRlqLkTyt+NqNdP5DW794U3ZqJLAUfxPIJHnTLd0kTA7WoHuA7luKP4iEHcFKLJWIWArBIq5Cy64wJHQ/PnzBWb6eKLfo0ePIMWf9SRYTiJmghEkF4K7N9ypYcoOy0JrbMmrr746n3KxcePG2mISrmZQ0EFJC3eATZs26bJHHHGEwDrUfBkQNxSWlEhWBAtLq1UmzjVZvEybwr0jpue0adME7sFGHnvsMa0kbNGihd6Fvvz666/y73//Oygj/MaNG+V///ufdlFHv2HhCStbnAdL1ffeey8o2RL2RSPoGxIzIa4o4qauWbNGLrzwQrn99tule/fu2h0eyuA333xTv1A3uN144436MjgXWdfhQo8fD/pHySefCBSiaCO4IW4oXJHg/gvLUSiA4bq1aNEiad68uWNzofx966239HHcH8Q9TRopXVYrP7EQzZk5WbI/e1XSO1FZmTT391BH9qpYb//58xu56ciTdJb3/w64XRYes1A/ZGnZto2UK1VaKz0fnflJROUnqjy+dgvJTM+QZerHsp3yE2UWqKQe9yvlKIUEEo5AEc+LG/ftlBfnfCu3HX2q/n4+rZLQ/bVlrezNPiBNyteQ6ofig375959K2TYr4XAmW4M7dOggZVTcY2RRH6OSHs3dslpOqtc6bDfxA7xx+eq6zI/r7BU6W1QW44Vq3oSStLPK1h5JARr2gupgj7qttPIT5TCGkBgknEBJOmTaG+GK8BgJxEQgvWNvrfxEJVB+6ne1Zs846gS9jT+ZJ5wjgpeS3C3/yMEnr9Pb/EMCeOgO5Sdk6Y78D2u+X7tAKzlbqxigtx99mqzYuUn+2bNdz6kVD4Vo+u/876j85FDyFQGjy4imUdDBjB9fGIE9omkFy4YSiLsCtE6dOjo+E+JSTp48OawC1Fh/wlozXKw3JFXCy420a9dOBgwYkK8olItQfhoF3MyZhy2x5s2bl688FHlQCN56662B2JqmEKxbzzvvPG3RePTRR5vdtu+wmhw1alQ+y0co/5C8CIpWxGyCAhECV/LBgwdrpSLc8aE0hCLZKoj9CcGPASh2UQ4ChWOjRo30dqQ/uN6wYcNsuUIZe9999wmy3SPO5/r16wPVIZ7jQw89pO8XEjr9+OOPgWPWjTFjxlg/6m3c59atW8u4ceO0AhSKXdTlJFBIv/LKK/qwyWjvVDbh9qvxlT17qmRPeV9kY551S8L1gQ12ReD3TSr52U/vyKDWPQXWmS1btgyct2TbP/LqX1NlvVooupHqKvM7ZP7WtYHieT/wq+mER3+rRSeewFNIICEJxGFenLFxuf5+XqGsXJDA4SgVpxGCNcD63duU1edMmap+3FHiRyCthooFrJQ2Gw/ulpdmfSPfb1oi2bk5rhpUr2xlKa6s3yC4n06yfnfej/W6qnys0qj84Rj0sdbF80nACwJpdfLCk3lRF+tIAALpaZLW8NA8VCE43nFBWo91JgTJ4+AlcWSVevqhYbliJWXVri066/sjMz6WS5odK73VQynMgWYexPr2rUXT5dd/gq1GC9IOnkMC8SIAYz1kbrd6vMarLbxufgJxV4CiSXCDhwIUikVY/9WoUSNfS/HjAgpSCNzfCyJQZpYvX15bHkK5CctCWBzCijLUBdvUD4Xe1q1bgyxGzTHECYUCEVaNsNaEIhLKQLh7wxry8ccfN0W1BResJJ977jmt1AscsGzAXRxtwZfmqKOOEihLwQOKXwTwhpikQugLLByRHAm8DBtwgrn1SSedpK0lEV9zxowZup9Q4kJJaSQa68/7778/kFQDbYMyFbFSYRH622+/6eRLsMA0yk8k+UEbEBsV5W6++Wb5/fff9aUxIZx44ol6UkAsUrQP7bYKzr377rvl66+/DuyG8hSWoWXKlAnss26YeKPRxDWFteqpp55qrcZ2G9eF8hhxTWFZC8E9D01GEXpyaL9Cj7v+vHOrZL/7rOviLJjYBODyM0ItDrGIRKb2supJ+j/K6mfD3h1RdQyB6CGbleUaMhhf17anXoiWUK5JkGxlUQxlzbgFP8h+ZhrWTJL1D7wQQpNAhOsr/r+ZMCzhyrk5hnkTc6hbcT1vxmleXKmy0j7020dSSrlS11Zuy/g+rVAu8XuyCuxw6hYNy7kgkH5UnlJaBeFRDwxdnGApYk12tPPgPsuR4M1dh44hzEgkuWpy3oNZp3Ivz5sieFH8RyDSGs/aYsyXJn+AdX9BtzFnhksSGlqv63kz9ESbz9kTRgtedlJs2P8krWQZyfpgtOTMmGRXhPsSjEBaZoZknNQm5lZ/obwf8Dq/aWc5t0knOZCdJY8fe6E0KF81qG6E+Jj49x/yzuKf5U2l7KxdppJgLsUaF2vdXP2IPugUfkgQAtCtOIXjs+uCNTye3XE/7fvmm28cmwPPYuhxYAz3wQcfaL0WrD+hP6H4j4BvFKCItwmB9SJcqkMFikq4n0Pxd/zxx+f7MQWFI9zGjUDZCPd0LEigJDz33HPNIf0ORSKsFmFZ+YlywUZ8TFiDhopROMJKFEo5uHxDWQulLRR5sDg0ClCcO3DgQLn88st1NX379tXvaAeUeZgUnn76ae3yb35YWpMBYaEDBS1Y1K9fX5+LP1Ae3nDDDdoNH5/vvfde3RYT3B/XX7Agz+IErt+InWlVIl9xxRXajf/555/XkxIsK5955hlUFVZgcYpXOJZnnnmmVsrec889smTJEl3fnXfeqdtn+vbpp58GlJ+4T+BuJrwzzjhDMx06dKh+Nw267rrrtLIWGeqxqIMyGfwwPrAPbvXW+41FKixAIbiXbuOaItYowga4EdRpXWBi2/rZTR0sQwLREIDVEmINFlQqqx8pkOLpmYK4dvWUMhVP5KHAqVW6opRV7qE9lftlS+XKed/P78vurLwHLQW9Hs/zN4F4zlfxvHZh3ZW9SuHJWIyFRTc+9ZZWSm0j4RWgeXNlyUPWouYcvicXgWjmLackpAUlgmtHc/2CXofnkYDXBBqWy1N4VlVeSBWUS/v8LWu01ScsQNtUqSs1SleQvipmdgO1JkWc5TW7t+qX1+1gffEhEM28FU3Z+PTm8FXh1RpOatasqXPKQLcB3ROM0xDCD8ZtFH8RyLNRj3ObMGBatWqlW2EsGUObZNzfQ5PphJbDZ5Q1sTmR5CdU+YkycCWHS7dRIj711FOOCw0oDKEIbKiynyPhz1VXXaW3Q5VscNc2yk9cwwhig0JpB4HCFbFMnQSKPqvyE+WgLMT1jSDOqGk39j3xxBO67dj34IMPBik/zTmIrQrFIAQWlyYLvDnu9O6W5fDhwwNtQpxRuOkbges6BEpLKIKN8tMcRxiEcE9IoGw2ytSvvvrKnBb0jnaaJ+VuLDqDTuYHEkhSApVL5Fkn4Wk8FqKj/5wk104Zq2N+Dpzyqrz21/c60HwtZcV2iUreQiEBEiCBVCZQIvOwl8zug84PhPYcelhk3OVTmRn7TgIkQAJWAg0OKUC37Nstd09/V3tMjFfWnojrefuPb8ukVXN18bbKNb5HncNhnqx1cJsEEpUA9EN9+vTRzf/hhx8Ciae97A+sbKFcpRSMgC8UoGg6kiFBoByE27dVoNiC5R/ElNMfHP4g5qYRKCudBIpGoxRE4iEnS0C4a7sRO+WnOe/iiy82m7J4sX1gfbiKt2lj74IA92sjO3YcdoOFCzcyxEOg7IVVqpMg2ZMRoyA2n53eY2WJeKNIXAU5++yzHd2DoDyGotlOoDA94YQT9CG40SOhVagYxWizZs100qfQ4/xMAqlIIFNZwEOQCAlu7tPWLQzC8NXKOYFkLbAErVGqfNBxfiABEiCBVCKw68Bht/cSYaw7TRiR/crFk0ICJEACJHCYAOLY3/PTu3Lvz+/J6t1bDh9QW4g7P1Y9fF+lPJEgZzQKnxtDF+IfEkgwAvAYhsD4y2oUVtBuQOH50UcfaS/f/v3761CL8IiGh/LDDz+sj3nthVDQtibCeb5wgQcoZHX/z3/+o5nBOvGiiy4K8Js1a5aOrQlF2LHHRrZSMgmCEAsS1qXhBAlGkJUcgtiO1avnZf+0ngMLRTcCJZ6TIAguvgCI5emkAA21/LTWZTW7tsZxM31FWWuyFOu5ZhtWr6gHcUpNHEtzzOnd1F9Qln/99VegasTCCCfI8A7rVDuBBS2UnDCVRwyOSy+9NFAMfTFWtdFaf+IpjZPiNXABtYGJbOnSpUFPWxDGwGqJay1vttFeTkiGBt+LmsBm9fQdMQq37d8j3605/F20tuOzFb9LPxWrKU1leG2oAtH/E2WcUWtd3PYvAdxfE3qlqFuJa0eaK61twpyZSG5R1rZzO7EJbFUZ3o2UUbGXneK6llWunBCEQaAkL4Fo5i2v51dcO5p5kNZAyTsOE61nu5T1/K6DzuGbEAP0h3WL5OJyx0pN5Q5fTD2kZ0LORLvL9u2Ndq3p9bxp36qi3wu9CfLIwHM5mv8jdi2F3ga5akwuFVMGcz70LHghnCP0ZyNGjHA0NjPn8V0ZBsUbAqwukXEdAutFBJCFG7xVAWrc3xE/0k6LDovAzz//PNAVo7SDwi+SWMtAkWanDKtXr16kagRJfxC/M5wgLieu4aQAxY8+9KOhcrUPVaZiQrETY/2JY5GUvSgDRWwkBSgUwlCmIp6oqR+KU8MYVrjGJR11GrFjiSRMRqzHzT7re7jjSLyE44jJisRIVgWosf7EBIM4rdEIEiq9+eabEU9BzNTbbrstqBzOjRTwHpMTrHQpiUMA8TIP5CSHVc8WlX0TCtA1Kuumk+AH/jb1o79iiTJSRwWip8RGQOVSlXIqtioUI35a0ON/FGJox0MwN0eaK63twkM+k/jPur+otkuppEYZ6gEXfsRRUouAVQEKJScS0tkJEtNB7NzksVrL1Uf5J9EJRDNved1XzNnRCGLhR6MwjaZuliUBrwms271NV5mukn1WV95HiANKSXwCSLYcGuou8XuVvweYa510MygNPdb5558fsw4AeiPEE4UhFq4Hg0F4u0InAg9p6MBgBAZX++nTp2uL0NGjRzP7fP5bFrQn7gpQWNWNHDkyqFHQZJts8DD5RaZxiFP299mzZwdZDpofeW6+gNYFhtWy0togUw8yMr766qs60ZHZZ8pFUn6inMnAjqzydoJkRnidc845+RSgduWxz5qh0ik7uvVco7h06ivKIh7qJZdcohWgpn5kNzP3qXPnzrYKUDuW0Vg/hsZUtbYbX3pYd44dO1bgVo+ES02bNtWLPaMAxVMWq6Ws9Xxuk0A4Ao2V5eP5TY+RJhWqC7IAb1BZKBduWyc/rV8sszbmhZgId75fj0EBCilfIvwPKSjtINYf/3oH/0RNoF+TjjoD6ktzJ8sUB6vbqCvlCUVGAEkanup2iY6Ne8PUcUV2XV7IHwS27d8rsE5KV2uOyuqhkAqOZNuwSocSzP29c1PgeKb6If/IseerxB5VZez8qfL1oTh3gQLcIAESIAGfEMDD8YGtTozYGsTuXLRtfcRy1gJ4iKjX0uoBklNG99KHHiLhvC0Wy3trPdwmAb8RgJXlf//7X0HoxAYNGujQjAgxaCxZkbAbYQYRYhF6n1j1Ek8++aRWfjZq1EgnhMa7nUAvcsstt2hDQrQPeW4ozgTyAsQ5H4/bEZOkB4No165dUqFCBVvrTDQw1O3DZEAPjSVq1xlrmXCDFK7ZsDpEgh87pR4SE0V68mpiVyLWp1cCi04j1r6YfaHvpky4vlrPMfVD+RtJTN0oZ+q3xiQ1/XeqZ/368P9gre7tkyZN0tX88ccfgZix1uNO1+B+Eggl0Kf+kfJIl/Pl6GoNJM/iZ4eyhiwt3WsfIXccfbqc3qBd6CkJ83n5zrwf73XKVJZSluzG1g4g6zGydEKiXeRa6+G2yFFV68s5jTsQRYISgAJrSLuT9Q+3BO0Cmx0jAfxYX7Ejb97sVP1w7HVrtfhx36ZyXrz1xdsPx6y/SCWSM8k/rOW5TQIkQAJ+I9CsgkpAXLlOxFf5YuEfoIf2C3Pja72vlVHHXyYtKzl7YtZXGeAhePDOUCKhFPnZjwQmTpwod955p/bkhfUljPhefvnloETO2IeE1H379tVWmbH0A3qTn3/+WXtvwTjNSfmJa8AozBiqIVRgJJ1ULO1KhnPjbgHqBNG4wRv3d5j8hrMQtNYDV/BVq1ZpxRiUlUYrby1jtuFSbQSxGpwEAxBKTifBFwHu3k517NmzJ2AG7TamqNO1rPut7vnWvljLmG0oio2SsmrVqmZ32HfUj5ACaD/cy2GJaaxIQ0+0Xt9wsCpAcU/CiQkY7FQG97VDhw4yc+ZMmTp1qlx33XUybdo0XRwKVzfxYZ3qLor9e/71mr4MwjhYrWVjvXZahSpS/LEPY61Gnz/ek1rcV4KHG/juWMUoz637imobVj/VLImAMN4va9FNv4qqDeY64AI+VsG4sQsDYi1jt41+vdbrGrtDQftg+ZYogtAS1odfuFd4UOYXGdSmp+AVD4HnhJuHVvFoW7TXNPMmXFGjiaMU7bwYOvdVLllWxp8yONrmFnp5LGqNZ4a5GLxeQr1SzLFUe8da5cCB4LicmBcwP1jFzffzxLotBa9wcmXL4wWvULmq1QmCl5/ELiSP1+sRP/U32rZgzsTcmehi5sxoQ49E2+/Mc9X8iJfHEjoXe1E9QqqEer4hOYnb35VetMHPdYSywe9ms9a8vf1pBW76A53PiXhuJWVp78f/tabhYBMakifa9YipK9ne7dYjydZH0x/8Jnv++ef1R/wWg9EVDLfgdo7QfOeee660b99e/6bFdwc6oeHDh8u7774riAdaEIH7OwQJsq36Hqe6UA76F+ir8HKr63GqL5n3+8oC9Mgjjwywhhs84oH++OOPep+T+7s5wVgq4rMZJFgEGwWqKWd9x2D+8ssv9S78gLBe31rO7baxWrUrb66DY3DV9kqgYDQ/CuEKblUIhF4DTwSMssku1mloeXxu2LCh3o3zoGC8//77bWO5ObHE0wrzBfz4448dF5d4ygGlZiQ57bS8f8QYGzA/R8wLCJSzXMhEosfjJEACJEACJEACJEACJEACJJBHAAo+6ysZHgTw3pKAlwTWrl0ryFsDncuECRPk7rvvllGjRsmZZ56pLwMdB6Rr1646uXaXLl10zpUXX3xR7y/IH+Mx7GR4Zlcn9EBQ0BZU6WpXZzLu85UFKAbLokWLBPEmITD3xZOXatWqhVVOQtOOJDkYnBBo5ZHIB+ciZicGo511BAYrFGkQKCXtyuiDLv8gmQ4UdKH14KmySbSDp0ZeKkDxpUCQ3fHjx+uERZ9++qmcffbZ+VqMNrz2Wp4FIg727OnOMqlfv37y/vvvF5glFMuXX365vpdQcuJ+DBo0KMgaA/90kWTIzT/cE044QdcFK4/XX389cM+NYjRfx320o/TjVwZaE2yfEtgd1UZ6176S2fdqyd2+WQ6OHBjVuX4pjJQsoWlZvGDjqn/K9bvYXf+VtDLlJWvCC5Lz2zf5Tktve5xkXnKH5GZnycHh/UWKOClKnmN6cLOi5qPiLGVecLOktzlWV5S7c6vkLJ8naVVqSXqdJnpf9o+fSvZnY4Mv5PNPeSlI8ho54MTecWltx2qN5Pq2vQTZovEk/JPls+WU+m2kpBpbfokBOuaYS+PCxquLmnkzW1WIVySJal5U9ynz0jslvUVe2ILcjWskZ+VCyejQs0jn1XiN30gsk/H42J4DBbHnIn0/O1VvJDcdebIUz8iUXQf2yV9b1+rQKIgTjaQdiP354C8TZG/2QblZhU04tmYz+WzF73K8Cp2C2Hevqhig3zAGaMIOoUSeN6/7JXJiz1hujNvvUCzX4LmFT8Dcx6dnfyG/bljm6QUz1Bw5TFl/Nq9YU9e7WiXiXLFjk1RRsZObVKih59XNKkb9U+ray3Zs8PTarCw+BBJ5znRDzHi5tmvXLmDYhfMuuOACnYHdmuAauh4YjJ1xxhkyd+5cN9XbloERGeqaM2eO9iLGdjhBWEAkukauFmMcF658Kh/zlQIUyrLjjz9emxLjpiDuJgTKulD3JX3g0B9kwrK6uUPrfeWVV8oLL7ygA8cOHDhQ7rnnHmnVqpV2HYOpMqwlzWBFkNpjjjnGWmXQ9ttvv60zbJmd+Iy2Wt27cQyBb6+55hod+BZKPWRQxwuKP+NecO2114qbZEWoD67ecL1Hdq9QpSqOG0FfYd0Jc2cojXE9BN+FdSSsJBcuXKhd341iGQrTJk3yFB+mDqd3WG9aWeJcmHTDzBvM4YYK5a5R8IIl3HbBvHr16jpeBYIE4wUWKIdAvbDYhEs7FLfonzVbPNoyYsQIzRjXgds7MtJDoOyGAhkxQE0cUEwIcJ9H/AsKCbgmkKWydI+4XKRyDZFd2+1PU8pRLSoxhmQVvWvcTOUBP3p9nqH+6ZVy5dwqufbtDLdXKW2z3nxC0rueIRnHny1p5StLxpHd9Bm5SPjx8xeS/eUb4WrgMQcC7as31MrPTSrQ/xiV9GjultVyUr3WDqW523cESpfVys9cFSonZ+Zk9RDgVUnvFB9luu/YJHCDsr+dJ7mr8kIWZZzTUdIq2D1KCt/B3zYslwd++UAGt+0t9VSsuk41GusTcnJzZPLq+YLEIFB+IlY0lJ+rdm2W8Yt+0grQ8DXzKAmQAAnEl0C1UuX0gyC0YqlSQOYeyJLst6brRqVVU+FmTj86pgZmq3ly+K8fyukN28nZjTtK3bKV9QuV7lNr7xlqfn153hTZcUCtrSkkkAAEjDdr/fr1g1oLfQo8UFeocIHWsIvQgeAFN3YYSITTYwVVaPmAcxDuD4mQ7r33Xnn00UcFoTvsBPoeWKVCT3LDDTfYFeE+CwFfKUDRLig7oaC0CpRlobJjx47ALqv7u9kJRR1iTsIiEu/XX3+9VqjBVTs0iREsDx9//HGdbf6uu+4SY3Js6nrjjWDlACwPIVDEWQPSGiXfK6+8Yk7N9/7OO+9Is2bNImZ5RwYvc53QSqAwtH7JoByFUvKhhx7Syk+0N7TN1jqggETcCigg3QhYQsEKhTG433rrrdq8GnG1hU7dOgAAQABJREFUQhMXgaVRXEPxamJ0QoHZunVrmTdvns6OhuRWVmnevLlWqC5YsEDvnj17tn435aAQhfXnn3/+GajTnA8l7H333aczsSHwcKpIzo+fyQH1osRIYMvhJBZBNSkrofSOecqQnIWzRNSCrqgFFm/7cvNi12Wpf6CxSI6y8sRLylWStJoNRPbuktx/VhW5VWssffDbuRv37tCL+KlrFggW/JT4E4hqXlTfqezZUyV7yvsiG1fHv/FsgTcEstTMefCQvXDItHnVZOf1WejFVygrzzumjxckimtYvpocUJ4A63Zvk91Z+3XRaiXL6fifWTnZ8vyfkySLc0AoQn5OQgLRfIeSsPtJ0aWG5arqfkABCUvMI6vVl4Z9q2prs5VbN8rS0iVl3Z5tMfUVayJ4xXy6/HeprhSuNUpX0Ndau3urSjVHIYHEIgAdDxSd0ENYBfsaN26sPZjhiWw1joOXLgziYonHietC34RYo3C3h5cvdE9QrsIbFrldoDNBGEYoWuH1DKtTO8vTs846yzGPi7VPqbDtOwUozHZhIWkSOGAgGes/6w2BZaQRu6QpGJDI1AWLUgSthfWhNTA+jkMhB9d5KPYwsH766Se54oorZNy4caZq/X7OOedoK0Uo9CD4DAtQxMc0LvTYj2vYiWkfzJJRHspKWJE6mSd//vnnuq3gcMoppwiUg9DsQ3kKQTsefvhhGTZsWOByMMmGwnTw4ME6K1ngwKENPLmAohRPIvBFgVs6lKyhTzJCz8NnsEL8T2Mxi32waDVWrbD6NO7rsLJFwiookZctW6YtWJERDW2GwvSmm27SX0p8hqWoUWQjXgVMt43gPkBxbWK44qkHEj8899xzugj6gi8+no6gfbg+yuLaUJS6FVw/nPWvqQeTChTXUKDjXkCgeMU9pSQRAWXVnFa7saQd0UHg/p5eo75WEmZPejt5Oqlc4OEGT4mdwIfLZsZeSRHVgPkSL7dSvnz5IM8Kt+fZlcO8GZrQy65cke9T34Psd58t8svygolFYI+yWJq/ZU1Qo9MkTQYf2VsrR99Wlp9wiackH4Fo1nhYj3qZiA9zJuZOCgl4TQAPdCB4qPP4sRdKg/JKIdrl8FVy1G+eiX//Ie8oS/eD6gFPLJKr1J3/qIfFeFGSnwB0LVZ9S6Qeh/NwjXRuUR43uhAYdkHRaTW+gwcqQjhCx2IUoDBUg5EYvGVj+b9w4403BroJvUM4AzcURO4ckz8ncOKhDRgURhNPNPT8ZPocFwXoSy+9FGBoVWRiJ5RpUGBNnDhR8APM6UYby8ABAwZot3NYcNoJ4opCU37xxRdrJRk05rfddpt2q7YOAlidjhw5UrZu3SpoHyxBhwwZEqgSSlSjAIUbuzFBHjNmTKAMNmrUqCHYB5duuMTjiwAlIxYxME1GfxFHAsrWbt26aUUqvkxQJsJtHYKJA5nin3jiiSAFZf/+/bUrP2JBwP37vPPOC7IkhaIRSkcInkZceOGFuj34kiJMAATZyNAX/BBG3E28IEOHDpWrrroqEMxX73T489Zbb2nFJfoInrC+xJccCmGEHbAqdmG6jXvz2WefaQUmrE4RLwOCfvbq1UtvQ/kJpTL2wXz76quv1vuR0QxBhtFemICjH3DzR2wN9BcM+/Tpo03DcQLGTTQKUCg2Qy2C9YVt/hTEfN2mGu7yMYGMM66RjC59Ai3M3bRWDr50t9L47w7s4wYJkAAJkEBqEzirUXtpUam2LNy6Tlk5KQ8BCgmQwP+zdx5wThXd+z/J7gLSe+9NUKoKiKCCYgUVUVTsHV8L/vyrr7299l6xd8WKoogNlaYCItKkd0VA6dLLlv98J0yYzabuJtlkd87nk83NvXNn5p7czM595jnPcR5IEw8YBmhNxcysUra8zF33l8yfMEUzQDt06ih1atWWfk07SRMl/3H/1JFpclWum84DifUAWMmUKVN0VDF4B1gNhlwf+AOsS5PnhVw0SA9SBmyrsEZW93iZLRcZrzrTtZ5iAUAjOYsweG4k2HnoYAYy9AAWZ8yYoasxAFq4OrlJYQgCzAHGBdOKBHwEUAPco22S/8C8jNUAZGFb8rLPZ+UAQNIAvrBFAe9C2Q033JAP/KQcTFKAWYBQgDsSCj3xxBP+KgBM2c913n///f5VCH8BtQH4yCoFGqiEqkOZhjUZiwEcN2rUSJ8CK9OEwVOPDX6aOqF/4w/A4HCr2ayQkGHNlhVAQHjo0KH+81gJoT6+K6xfv356sMHXXBdaoM6cBwrrARIi5a5cIp6y+ylt0LriqVlfsq59SrI/GSp5i3xjTmHrduc5DzgPOA84D6S/B5or9tTpLbtoLbuhv3/vwjnT/yt1V+A8UKo80GRvCPyGndvkAQVwrti4RmmA/qh9kFWvulzy3yHSp1E7aV+jkfRu0FbGrpxXqvzjLtZ5IJgHADMJI4dMRqQqwCeYhQEWx4wZo9mekNGQYMSINi6KffPNN0U53Z0bwgMpCYCS9Ab2JwAoAF0gAGp0DrjpYDqGs5ycHK3tSRnC3YOBn+b8vn37agAUEBGg0gYwTZlw7zATO3ToELII7FBjgHihDNbjIYccEvQwbNLDDz9cXxPgMMAuKwvQok0IPmHzhoIdrBLYlQCgGEzaWAFQu05AS1Yn0Lfgx06/A30AJRzQmr7CyA1mBvzkGDIIxmCDAp4CsgKuom2B1ikG+9TcG2wDgAKgOnMeKKwHst97dN+pNepK5kCVPb1JG8m84DbJfvFWyftr0b7jbst5wHnAecB5oFR5oIw3U67ucIxkejN0pvc1LqyzVH3/7mKdB0qCB26e9KHS5awsG3dtV6/8EU57VMTi6/MmyP5V6+kEcCc16+wA0JLwpbtrKLIHIF2huYkhjwLgaRvkrMcee8y/C3k/pP+cpZ4HUhIAhS3Zq1cvGTlypIwfP16j5wZdx4XDh6uEBcpgIaKXSXn0GIIZN6phHZIdnlBswxIErAukJVMX5W1tz2D1BtsHuGqH1RNaTUZ2AMB58+Zp2rQ5L1zYdZs2bUwx/zugLMxUzITfUwfXjUDucpV9zFjbtm3NZtB3wshhk/LjpW8YtG2SKxXG0FkdMWKEBjnRIAWYBugEnAQMBdBGPgC2KPqnJ5xwgt4HuGnMaIGS0Z3VFdtM6DnH7r77bhk3bpw+fPbZZ/sZp4TPY+H8qgsE/OH7BzCOZOifEqYPoG6MeyXw/jHHzDvfm7n/zD73niYeWP+3ZL/9gGRd94x4KlaVjD5nSvab96VJ5103nQfye4AFJPv/aP6jif3EGB5prLR7wDgb61hun++2nQcS5YHz2vSQ+hWq6SzGjhWVKC+nTr2xjFtmrhqv3jPHjKVOSAbOnAei8cDWPbtk657QhBE0QH9avVAGVeoudVXyoiy14FNULdBo+uXKpL8HGLMYu6K14pqXRts/u5wBP9lHv3kxt7bHaT4DfIJ9kG8l2oTTdjtuO/EeiP4OTXxf8rVAGDwAKCLghHYHswkTJvjZnfZxdC0J9YaaTCIdY+hm8jL27rvvms0C74UBQJl8oPnw66+/6kQ5gIuxCAGbThi9TvOZdx4I0SjFSHhkjOsz2efNvmh+bOiC2gAojNDPPvvMVBHTO1qpaHQaVilJgniR6IlBAKAZsJq+kmyKF4MGx4wBFALs3n333ZrZafbzbgBE+mvAT+QDSEZlzB58zL5o3hFfNomVwpXnngqkodN/ElWFM7432LkpaR6vSPlKImoFWLLdxDnod7R9i+T+PlEyup8oHsUELfWmfrciHrXSsG8hoNT7JE0cwIKTWShKdpeZEEYaK+0+oYkdLkrCLpu0bXfvJ83VqdpQLaWXd4wKC8UqZpWV6zufUKCrZIzH+jQ6UDrUbKRkiUSenPGNYox6HYBQwFupvyOWcSveV2MTKqKpG5IBc+nSZGo2oq10XXVyvuHV2zbphrzqWQG26EqVvb0kGGButprDunsmMd8mi0bpktgoVg9cdNFFOl8LUbaxjs+xtmXK2wmizb5I7/TNJBAHzyJKFyMcPxZwOlI76Xw8ZQFQwtVhbJKUKFYzGbDIlI4ArTEAKwApA0oCuIUCzkwZc26odx4oqYd6L7vssqD9BdCECQlDFD3LSGYDg8HK8jBpzLBkmPgYi2bCZn64JpO7Obcw7/yYSIQEExSQEIFg8/BK/SR5wgjf37Ztm/4h0m+2jXGMJEd2VjVzzP6xsk2I/J133llsbCbTr3R/9x41UDL7nKX1LXOn7lsYSPfrirr/ABpVa4mnWm3JW/J7yNPyNu5dJS+jAPsMNWSqrJmlyjKzxHv4KZLR6UgRJQsA+Jm3YpHkLZ8nOT8pcfwdW0uVO9zFliIPuHu/FH3ZkS+V8HdjJEAKZ2js8QKQeqvP5ZpBtX7nVpn49yL5cvlM+Xe3Wnh05jzgPFBoDxxWt5UM6XisbN69Qy4f+3qh6ymNJ+6XkSWV1Zx2zY4tCggMDgWWV4s8xjYEhMmb/enyzuLVgOaHSIsqdaRhxWqSo8ZlAN5v//xdxvw1N6QP0uX6XD+T44Err7wyOQ1ZrVx66aXWp+g2W7RoIR988IEu/Oabb8rnn3+utyGqVa9ePbpKSnipfbO5FLtQQL5evXrp0GrTNbQvYRES7k2yIUKpMcA0Mq8boM2Uv+++++S6664zH4WM5ISkDxs2TO/jvag3ApnTScT0n//8xw9+kgGMEHBuQF4GkIQVaQDQcKu0Jhzc33G1AWPSZIm3w1xMBjIbOISi3b59e/v0AtuGxk0ofLwMAJQX4PGsWbM0EIqWKteNwYglLP6NN97Qmp4AoOb76dy5c1Dwk/NMqDwg6auvvpqPOcpxZ7F7wNP6IMnofXrsJ5agMzyN20jW4Pv1Fe0Z+t+Q+p6eWnsfdFVG+FIHfu5XUbL+85B4avkyHebtUIsWKnTK21yxoNTLe+Chsuf1e0Q2+1YXS9Dt4S6ltHuAsP0hT7p7v7TfB9b1b1Kg5Tvzf7L2FNwc2LKblFPA+dbdO6VimXJ6kR32J+eScflklT2+l0oq8vC0UbLk3zUFK3B7nAecByJ6oEa5inLJAWpR1lnMHmhXvaHc3sUnNfa/KSNk7kY1tw1ijVUGeAyN0B3Zu4OUSI9dHWs2lmvaH6PHY3r8r4p6A9zl+i47sJd0rdNcHvrtixAwcHpco+tlanrgueee0zgTkn3OUssDKQuA4iaARbQljQEaAn7C2iT8meQ4xkiiY6x79+4yadIkzUIk07kxdBztcmZ/Ud8JHTdhzoSDDxw4MGiVNkvTMDeDFQSkDTQA0DvuuEPvJhzbmAE+TVZ29q9evdocDvoOW9UAoLYPgxYuxE5YsYS982K1ZM6cOVoEGOB22rRpmjaOTmm0LFvTBZixkdixpmwqvm+/6Q3dLQDdVLqOzNOuEuFVDIbEhZE4MM3HE5Q3dUZ6z7oquMyGfZ6ndkMp8+C+8cg+loht/LJLaSDLCy/o6vd07yd555zjXxBIRJuR6vTspyQfeO01T51GUuaWV83HpL4z5jKWYS+qF/8XEjG+6wYK8Wdwu6OEV3EYY63NsC+OPsSrTTNuogFtRz/Eq/5Q9Xgq518lT+S971unD9WT/PuZB9lzCY7yP7ekhpzlv/rIn5DjeXzK4zLzT9+izD0dT9KhYKGifSLXWLgSgJ/GCCGtVnbfuAnz6v5Dg88TzTmJeGe8NHNVU3+qzUdMv4rjnTHTJhgURx/i0eaL3c7R1TBeMm6WdOP39MFx4eewRKUFRrwRvWdHmJV0PwW7vju7+qTEyCcx5C1ftF6zijXk7p4X+sk7jF2R/Bus7lTdV6Vs+XxdAyB9P8z9E0ySJ9nzkXwdTqEPweYjKdS9Yu/KW2+9pYlwRQFATTb5WC7GHtfApQyLtDier2PpdzLLpjQACouRB1oz2ScTOAZbMBxwRxIdAFBs8eLFegLApI99gKqhbOnSpXL11VcL2dphWw4aNMhf1J48B7I3p0+frsvxENK/f3//OYEbto5DOAD0p59+kv/7v//TD/SBdRDSP3bsWL0b9qcB0tCjYLLDBBeKs50gKLCO7777zg86AVIWxUhShZYqGejJzh4syzuaEyeffLJ88sknenJJ2WCJnorSj3Q4t/zDF/m7WSxrqZWqSWb/weI9oJu/H2xkfzJUiisEHrU0n2KayPm9+uTrVzI+nNGyqwxo0UU39fKcsToUxrSL5tGQDsdKy6p1NJvnxonv64yZ5ngy3vM27xBv95a6qW8z/5bR45IHNjarXEse7H6Gbvvh30bJ9HV/5LvkWuUqyVOHnysZanHmHsUimBeCRZDvpFLw4fWjLtXsgpdmj0mJzKnmYThdXW/GTaDuZCjPenv0k8x+l/jdtefN+yRvwW/+z3pDSWdk3fCCeNT/3D0v3y55y+bkP57gT+bxrTjGzARfWlyqz62T6x8371r4jXj++CEu9UZTifn9U/bNeT/KN3/OKnDavd1Ok1ZV68qPqxbI0N9LofxMAY+k3o50HjfNmIlXi2WumeCv03t4f8k88QLJU9r1HsW2ztu2Wfbcd0HYVj3qqBk3TcFctZHq/knUGH/+/j3lxKYdtStenztevl0+yz9m7lTPwGtytkszqSBbFJN9yI/vpC0D9D/tjpYjG7SRtTs2y80TP5Jt2bvM16/fb+h8ohxSu5msU1IAV094O98x9yE2D6TzmBntlYLBvPTSSzJ//nyd+wSiSiAmFFgXkcs2AHr66afLgAEDAouF/BxNXpeQJ6sDlStX1q9wZUrjsZQGQGE9AtD98INv8mpYi336hAdKCDs3+qEwRkG+CZ1GBJbQbNu4eUmMBEuRdxhpgKUAdrYZzUz2vfPOO0IfWrdurYvQTwxGI+AeWp+sIr/33nt6P0K0gKNvv71vcF24cKE88MADOiM9Px6bwQkD9MMPP5SzzjpLn88fAFPaBWw1uqiI8RqjfzBP0XygDzAvqRc/4A8ARyQEYEcQgm6MZFOxGufTR/xE/QwE2GuvvRYUAOUYfsUAbGH1stoYyPwjRN6AuwwQSAfMmzdPJ2viXKMrynYoo05WXPB5MDA21Hklfb+nbVfJHDhEYDFxX+ROGCHeQ08QT1mla1mK7ePFv+oH0fY1GsnlB/aWExp3kD+2rJPqKryqpdIKKqM0P3eqSfbzs79POvjJ1+KpvJ942jUqlm+ofY2G+l4h/CkQ/KRDa3dukdXbNyk9peo62YcDQIvla3KNJsgDelK7eUNB8JP2Nq0VQRJDMaC9rTpJTpIB0ARdcomp1ttkX3RQsi8q05uhmyTMEn25YDZ8ya9yy8EnSbc6LYSFN5ddOZiX3D7ngYIe8NRrKhnHni15O7dJ7i/fSsaRCkhQc1pnsXlg2MKJenG/tVqIuVhJCRzbuL0s77ROapSroHUymfuiWfz49K/TFvxEJqFHvVZCRvtnZo4uAH7isVHLpksVxSDerIDeSlnlZMuenbE50pUuVR647bbbgibfDucEsCEikI2ReBm5wHBEPlO2MO+DBw/WkoJ33XVXYU4vNeekNADKt0DCGwOAArjBcjzyyCPDfkGwNQ0oSfkzzzxTRo8erTUoDVhHBWvXrpVbb71Vg5+BFRJmDlh3/PHH60N2GAnZzQFMuclIbgTD0dzcrAzAIgWEBHTFaJ+M9nbItx2aT5nff88/UUYrFDZnv379NAuWazf1UR5A02iC8hngzwZp586dy25tZF3HAAVh0xom7RlnnKHBUX0wwp8NGzb4S4SiY+PbF1S4LvqsRvcU0PLjjz/2Z4gnlOCrr77y12U2ZsyYIQcffLD/GtF3pQ5CVMj+jpksZuacYO/4AT899NBDwQ6X2n3etof4wE/14J79yXOSt1it9nY7rtT6w1w44u8PKu2f4xXwebpigzZSmkC8MCZNv61ZLm/MmyDrFNhX2mykmhh+++dsqRoQLmT7gdAzjCQEzpwHSpQHtmyUPa/cHvqSKlTWx/K27UtAGLqwO1JaPOBV809sbZjkIss3r9NlABn2r1pPZm/4S392f5wHnAfCeECxPTPP/H+a9UnkkpQr3Qv4YTwV8VBOXq6O3OmrWKD9VXIgFrJ5YTuV3ufUNcv04kw6z+2OqN9GWJBaqrSWF/37T1CfzN+0Wu745ZOgx9xO5wHbA+ALJrr4gAMOkI4dO+bDXeyyZhvCGGHnyDbaRm6URAGgSA2ayGm7Tbed3wMpD4A2b948X49JogOdN5zBFDVgGcxKgMF77rlH7r77bg1MmnONJoL5zDs6WrAkYX88+OCD+jNIPWH3JsSccjBJAdlgeZIIacKECQJISNIfXjYYCZuTz5dccomQjQtgE5AWCjTsTNidnEPouzHKk9gJQBX6swEtOQ4YSxZ0Oyz/lVde8TNO2a/ZK3sry8rK0ozUBQsWmOrlmGOO0Umh/DvCbKxbt04DyKYIP3x0VkkgRZ0A1EZvDn/AQq1Vq5b2F0xRBg3bCNfv1auX1K5dW5544gl9CMDYbNtl+f7QqAJIhUVKOwZctcvZ27BSuU+iMfwUzUAB7d2A6ka+gHezHaqtSMdDnRfv/Xkb1ffw6fOSO21s6UvkE8GZAJ1f/TFTvv5jltQtX1nqlK8qmxTrceU2BYCojOel2Xbl7JF/tgcHeLrXbamziOKfaWvzh8eXZp9dPMa38JVqPmCsi2U84v+I/T+mKNdD2/b/pEh1xVI2Ul2xHs/9eZTsVq9w5u3QUzwVq+giufP36YyHO8cdKx0eAPisV6FqWEkQO6FIIwU6OAA0de+NWMZMrsLME+NxRbGOm/FoM5XryDjhAkF3PPf3nyV3xngVxeQjqKRyn1O5b4CgLHR/sWyG1FYJ2uqUr6JZn6vU3LckcGq5JsxO8pSh9JibK3knro9or9I+x9cOivMfxq1Yxs14zTPjfBkFqiO/itGIfuqpp3QEbIFCATsAQGvUqKGjcgMORf3xxhtvjLqsKQhmxHlEHyPrCMGsR48e5rB7Vx5IeQA08IcRKfydb9VkWmcbBilGWDoh2tdcc40Oq9Y7rT+AijAiCSMH4Qcw5Qf80Ucfaapyq1atNFv06aefFpOlfeXKlRrcA3Aj0xft/vzzz7pWADMM0JSbDhFawtcBPzEGCPRCmzZtqj/D5rQZnQCI3LhLliwpkNSoZ8+e+ULmAWNhpWKwPKFo02+ASRiX5gerC6g/zZo10wCq+RzpHaDXZq/ed999GuA055177rny3//+V5AbwPCbkSvgM4C18Rlh+LfffrsGlqnTgJ4205NzbOO7AQDFZ+PGjZO+ffvah/W2fY340RYALlDY2kG/ogVLjbSByWoPGGuuy6oyJTdzxw5PyX6lUqdgg65WYB8vZ8E9AOOT0PjONZvIoQoA5Tf54aJfQoKkwWtxe4vDA/wv4BWtMW4H/v+N9tzAcvzfMzIogcfS5nOFKuJt2UE8+x8s3vaH6Xs/Z/QwFZrg0yZPm+twHU2oB/5WsiAAoIAJoayOWmgzRjZiZ6nrgVjmeIyX8UzExxwzkECQup5KbM88Smok47C+kqdkSbJHvJjYxkpZ7cx9/1EambxKkiFlha1XEVwVMsvKFe2Pkg5K7qpsRpben6OeVcevmi9vzf9JWOx3Fh8P8DxuP5NHqjVdEjiC9WCQssBnojESVReV6QnuEavxv8M+DwnFyy67TC6//PJYqyqx5YsdAEWn8ccffZnnInkZoIrEP3Z4N+cAjnXq1EkzEgk1N8dB3WFnGuOmPeigg/wAKGHksDKps169en7QDJAVQBGdTjQojQGsAT6iD0qbJGkyQBtMRYBC9DmHDRumNTw5D2Ym4Clm6uIcEhXZPyDC7fEDIC2AJn266qqr9OSH82Bb0lcMUNW2Rx55RD+MsR+WKwzLm266SYOSrAIA2HHtn376qWaq8hmtzd69e9vV+LfRQqU8Boj6yy+/6G3C0pEMCDR8d//99+vQdx506fu1116rrw+dVJi2TCIBOW+55RZ/tlqu33z3SApcccUVgVXrz/iTxFaAyvgtGADK6gYsXIx+OnMecB6IrwfQSXqp977xlNoRzx+9YnZ8G3K1OQ+kmgcU27PMbW/m61X25y9L7uSv8+1zH5wH/tq6UTrXaqoXisiejIZyoB1ef3//rgoOAPX7wm04DwT1QPlKknn6NfpQ9vBnRXZsDVrM7XQesD1QXemZYmW8mXK3ynaPvBUh/X9uWS/1VKRXxTLl5KiGB0jbavXl9snDg2qE2vW57dLtATAMcpgAakbL9P/888+L7LTjjjsupjrASYiUBa9C6hGJRQDp119/XeM0doRyTBWXsMLFDoDG4k+AOAPGRToPxB2mYbhwafQ1QyXKIfQeABSWImCnAQRZqSB8mxsMoJIQb0K5jbFCYPQ8AT4N+Mlxwt0xVnSfffZZrRVq6tUH1B8DcprPvNPHUKvAaIMSPo7xIwH8NMZqNOAkL4wfrQEJ8WMoANScz/vs2fvADRtMtsuw3bhxY81g/frrr3ViJ64VvyxdulQnPKIMjFdbS5V9xtBRJeFVoDYqx/E5uq/4HK3QQJ9ThmMY/jZ+1jvcH+cB54G4eKCmCicik+a/u3ZIfcVwgrl0YdvDdRIpl8gjLi52laSoBzxVawsyInlbN4mnVgPxqAerjJMuEU/j1pLz6Qvqn3qq5xJOUceWwG6NXvG7HKcSiuyXWUaGdDxWnprxjfxraSQfUquZnNjEl32Zy/eKpwR6wV2S80D8PJA54EqVELK65Ez6WvIWzYhfxa6mEu2B6mV9DNCBSt+fUPehs76XH1fvk4JjnD5v/x6asX926+7yytxxJdof7uKK7gHkFY3EYrS1ATgSnYv99ddf/vPBPQyJLlxdRN3GYuAhSCea8+gvxDAIauBTXbp0iaW6Els2rQDQSN8CgB+szxNPPFEIy4ZVGc4A7UIZorXGCBu0gUoYiNxghH9+9913cs4555iiOtGSYaAGMhFhsMJ6BFT97LPPdB2AfgCcHEOnIVZbvny5/5S2bdv6t4NtAIRyXSQVIuN6NGbqB9jlBxXOaB8AFKN+AFDDemVfJGAStmgwAJRzC+tzznXmPOA8UHQPLFFC8tdMeEdXxCP7cSpx1Ln7HyawmcplZulsoUVvxdXgPJB6Hsj7a5HseWSwr2NqnuHtfqKgR5fRuZd4yu4n2e+4pHup960VT4/QAB2+ZIqc3fowzSx6vMfZMmv9CqUrvV2aVK4pB1ZvIHPW/yUkQGqlMjBvd+B58XxRrtW08ID3kKPFe+Chkrd2peR8/WZa9Nl1MjU8kOn16o6QCOlVFa1kg58c+PbP33UG+AEtumgm6Mhl00qcDEBqfBMlpxfBcsdEujqwD3KjYOSBMaxQcCSiexNt4GJEPIPH2PKEiW431etPKAD666+/arYeTjjqqKMiApKRnEWYOxnVAw2gE3AOwI2EP9EajMhQZmufAXTaRj8AExHEJbu8DYAaJiLh6CQasg2AE+Hcm2++WYeEA6wSAm7CwJs2bapZmQCnhrVpnx9s27A/ORYJoKQM1xwMALWzvBudUsqb+qPpj10GABRw167XPk7dgRbueGF9HthG4GeA7bPPPjtwd4HPM2fO1Pqutm+412wZgwInqR3cO7FooQSrw+1zHkg1DzAifvPnLCmvWE5ntOomXWo3lxZVagsgqbPU9AD/kwLlU8L11P4fGK5cNMeoK9JYaddDxEMsIvr2uQnfVmN67sQvVQbi8pJ5zNniPaCbeBq2EkBSZ84DeIDEIpt375QL2/TUYZaH1fPJIHFsyj9L5dlZo+XB7mfwUeyESHqH+5NSHohl3IrnmIkTmGNGG2pJeVurn89pbzXqSka/SyRPMZeyP3paZI9j2qf9d5rEC1i/c5uOVmLxadzKeUFbHrV8hgCA8tttqpIjlTQd1KAXneCdjFnRMBtNN2IZ48w57j20B8jzAuhpm8EhyC/jzOeBhAKgZD83IeuAYZEYmZG+FABENA3iZbGApXabDJSAlOgpEOK9ePFinWQJsMsAoIcddphmW9rnsY1uKFnBRo0aJWhtrlixwl8EtiXHWCkgkRFh35HMzmAeLtzf1GO0HwKTYdiMUDvc3tQfjUix/f2a+mN5iA03YBbF5+bag73jj7vuuivYoXz7nnzySa39Ye/k3Eh+ATA1A499rttOTQ9kqZViMmOSGT5WQ2dod252rKeldfnvlP4nACjWWrGZHAAa+uvk3spWYVix31mh64zlCIs9sTzMx1J3pLIAr5HGSrsO/n8gPZPKljv5GxEFgGKeJvs7ADTGL6uw46VHhYzD7En17L08cE9bu1yPi02U9tzfKrnebMX8NOHwtfZmKA6mERqjK13xBHoglnEr3t2wI8+iqZu5ZiBhI5rzUrVMRu+BmmGft22zZPQ+rWA3q9Xx7WMx6ryb9XbujAkqS/zEgmWLa4+KjhH1f1+t6BWqB4x3lZRWJQslqT7mFeoCE3jShp1bNQC6cuuGkK3AwN+kdJqrKr3mBhV8SW5CFnYHovIAz/LFOW5G1clCFvriiy9iPtPGNkiIbVikdqRxzJWGOYE8L4GgMvllwKuaNGkS5szSdSihAGhJdqUBQLlGgEwyhMMSNPTiwPB32xcwVdHT5EWSIqNtSvg3D3680C998cUXBY2IcGazWGkbgDWcmf5F+8OjfoBZc140dVPG1G9rkqLdGe568EU4K4rPw9XrjpVuDzStVFNOa9lFmlWqJTVU1kgA0H+2b5Z5G1fKR4unaNH0UB5qrlaMB7bsptmPZEhfo85bsGm1TPp7kXr49Wnzhjo31feTNbO2yla8U00QV6uH92C2Zc9OnT2TrJqVssoFK1Kq9wFyDGh+iLo/6kjDitXUvZUnq7dt0qFXY/6aq8DQ4oJDS/XXEvni96sgnup1JU/p3cq6VcHLb98iebt3iadMWfGoJB3OInugsOMlIMDJzTpL1zrNpVHFGsJiwnr1cDtRjbNfLp+pQMXtkRsvhhIk3Ji6Zpl+2c3X2a+yPxPxon//sQ+57UJ4YFCr7kpOYC8YFuJ8AGi0qp2lkQeyyujOeipUFo9i2ocyjwIZzfHcv5aEKpa0/Z56zSSjz5niqd9cpEpNHwC6/m/JXTZHcr57X2Rb8PlUsA4OaHGImmN2lZdmj5GxIViMwc5z+0QAQLHKSqYmnPH/BUvVxajzVSQB/zujtcl/L9ERWtGWd+Wi90A0kbbhaqtcubLwisVuvPHGWIrrsuApnAfpAfIgiaJ79OgRcz0l+QQHgBby2+VHwA3122+/yfjx43UGcxPKDvjXvXv3qGqmHjKc8wL4JKM7gCo2ceLEsIAhZcg+b4yQ/HAGG9EAmSSJisao3wCgsDkDVxXsOuz2Df3aBkBttqt9ntleuXKl2Qz6Hi+fB63c7SyVHjhVgVNMLr2K1Y0RKlNWabM1UGAVr+51W8nTM1XCM6XhFmjHKw3MC9TEBHYyjFESBFUtW15rYvas11reXfCzfPnHzMDTYvqct1sxSrfs9J2zn5rkly8b0/lFKfz/Oh0vB9ZoKNMVkPvwtFFBqyLLMeAntiLMKnvQk0v4zo41G8s17Y/RIbBc6r/q3iJxVGPFBrvswF4azHnoty8cBJqC90HmOTeJt0V7yV3wm2S/eV/wHqqkHICfWN4/0WlqB6+odOwt7HjJGHN9pxOk5V6AK1ctUG1SgCdJ2U5udpD0atBWj082+zxviwKudyvWFVa1vHgyfFpwvh2J/du8cm2VBb6x7MzJVuBs8IQtRzRoozsB8+ifEItLie1lyar9sHotpZYClcMZci3O0ssDudPHS96K0NIi3iZtxNuuu1qI2ukDFtXl5f0xr1gv0qtYqxl9zhLPXv3JvC2bVBpytUhWu6FkqJe3Q0/Jfv+xqJI5eVofJKc2Pzgp16OZwxu2+drKVKnZqpRPSruJbGTZlrVyhLRRzM7qOildMLkRxoUqat6OLdwUnoSTyL6Gq7uxWvRrozLVR2tLN6+NtqgrFycPbNu2TYf9x8raj6b5cePGRVMsXxn6Y5/3zjvvyGWXXSaXX355vnKl+YMDQIvw7ZNsCQCUrF5Qjn/66SddG9qfNuWZnYCHhLUTLg84CLsz0Aghv+aaa2Ts2LE6W9eiRaH/8ZtzARgJLwTcJPwePctQOm8kbDLh7UgSRGNNlS4pwC7aQj/88EMBXVNTB/V+840KCVTGikOHDh30NloUgK3r1q3Twr+DBg0KqtMKOxQgOZLF4vNIdSX7+Pab3tBNMkDacgHJ7kdge5mnXSXCqxhs69at/nvS/CIMe7gYuqMBTLvdCgqwuvWQk+1dQbcBUO0HMEDR8xQ4yquwxm+K38QLb72gq+DeP+fEc/IlZCts3bGc17lWE/nguMj3x7UdjxNeybItW7bocc+0h8+rVKliPqbcu5lkm44BkL4fhV9N+VjeCYVkAlQSzIyblSpVCvm/LVHX6d3/YCnz4IiI1WcOukGEVxKMB1UjTWPGTP7nplPIWVHGS6/HK4CixmDe33/oQPNRtm/fLo8//riOyGEnmVDJwMr4kGwjw3A4I+wymrE1XB2xHGOeyLhpW6rNR+y+xXMbfb9IvmbMLAmSRWbM5FmAcbOkm0eFiGf2vSjsZSKpAsnEtooVKxZ4VrOPx2PbU2lfQl3q86jogqyL74q56sHtjhJeibJVq1YJ4bkYz21Ig+GfkmD8v3nj6MsiXsrjPYPng+C+CZTkKY75SMQL2FvgxCYdhVcyzJ6PJKO9VGkDTOS9997TuA/kLvKdMMcgapbfz+GHHy6nnnpqXOYdxx0X23MVWBCSiEhGrl27Vmd+5/8aso3nn3++GCnEVPFlcfXDAaBF8DwanUy0mXC//fbbwj8QDKAi0GBOMvmElswLdic6oYG2c6dayVTlsM6dOwceLvCZG3ngwIFaN5SERehT9O/fv0A5JnboixojKVU0NmDAABk+fLieOKAhAYU62IMWWc0AgjGuy5ThweyCCy7QfgLkpI7BgwfnGxT4x4LGZjQTz1h8Hs31JbNM+Yf3TdB2J7PhEG1l3fWueMpVkOxPhkruVB/rOETRhO2Gk8HLtmT5JvM/D4m38f46LCn75dvtLvi2VehS1v89rXxUXnJ++Ehyvn/fXybz/FvF27aL5P65ULJfvEXRDvLrO2UMuFIyuhwjuUtnS/Yrd/jPi3Wj7FbOyNCnZU0aJZ5FX0iy/COVqknWkCfFU7GK5CoWRvY7Dyo26kb/JXgP6ysZ6qHDg27q+E8l5xtfhnh/gQRvlA1Sf7S+Ob9XnyBnx2/Xf9odLUcqlhes4JsnfiTbsvPrWd7Q+UQ5pHYzWacyRl894e34NRykphe7nRNkb/rsMuMm/xX3cvoS3/kUv/eDcXOivfcT77yCLRR2vPQc0FWyzlPjq7LsL171JZ8KqD7zPw+rcby15EwfJzkqUQqT2oxVMD59gGe5V26RPYH/ZALqiOtHFbabdctrCuioqLUIsz9TMLWSS9Cm9mVedId4G7UWdA33PPofEcUMT6alw70Ty/h8QPUGcmeX/pKjSAYX/vBy3HQS03ncNGMm91UqjwtFve+9hx4vmacMlryt/8qe+y8MWx2jQeC9z6wtnv4pypzS33n1vyez/2CdXM+/T20kep5eXv9z9c01vauWSpn7z4urb+xrSea296iBOlkhbWYPf1Zyfxvjb96j2MOZZ1wrHkV0yP7qLcn98TP/MXsDr5h7J5axya4jkdvo79/V5VTJUDjDK0rm4wclr1Qcls5jZiz+mj59uvzvf//zYx7mXMBgIll5QYiDNHbnnXfqEHRTpjDvLOLGYgCgRMya89avX6/z1oAt/f7779KlS5dYqiuxZZkrFovBnJw9e7ZUq1ZNTj75ZA0iooXJjbVw4UJp1aqVHHTQQfq46SA31+TJk2XatGn6S2R1qkWLFjozPPUEWrA27GQ/L7zwggbruBnMShc3CNnr6Yext956S4N4gW2wco7mJv02YetogfIKNJhcdpKiZ599Vn9u166dvPvuu7o44rS0ZcyE13ONrVu3NrsLvF900UUCu5ObHEB2zJgx2m+EpMOmQ28CfVGOY2eccYb2W4GKguyAvUn9zz//vP5RwzAlIzssAth7MFCpl75i+PHqq6/OV1O/fv3kk08+keXLl8uwYcNk9OjRmgFJEip8CnAaqP8JqIzNmzdPpkyZoreRFcAPffr0kZEjRxbwOQAqKzIYjI9DDz1Ub7s/zgMFPKAYA54Gvt9p7qSvChzWO/5dJ3lLZonnwENV2Rb7yqiQGY8CTjENHAeAn+zPWzRDRAGgHhWiJWpyJXvyA2CUSXlTYGf2h09K5oW3qwf2VpJ1/VDJW6Z0K5WunVf5w1Ojnr6E3MUzJWe073eX8teUhA6iI9tDZX1GFuGZmaMLgJ90YZTKEl1FMdfIFI12KlqqzlLIA+7ej9+XUYTxEgYulrduteRO+jpon3J++EC8F92pQmEPk5xPn1dPuXuClkvaTpWpmozVGvRtf5hkKe1C/o/oMFgFfHqUxEqeyk6c/ea9SQc/k+aDJDaEhje2ctvGuIGfSey+a6qkeKAoc8q9PvC07SqZA4dolijPu7kTRoj30BN0IqiS4qZkX0fujyMlV2myIpWQefo1knfcuZr0wPyVeSyW8/MXIcHPZPc31vaYP/6firwC/Pxp1YJiAz9j7Xe6lofpibYmUTgwPiGTtWnTRurVq6ejGcFdwI/ALXhdccUV8tFHHwWNfE2WD4g6po/gKUYGMVltp3I7xQaAAjIChgHuwRi87rrrNEBmnDVnzhz57LPPpGnTpmaXDmkCPLMNQBQwDO1MwETbIrVByDYvboyhQ4dqfUtQfULQbQO8o91gbQTqPYRKfgQoyQsmKOHwgH4AhTAlDdhnt8k2wCqGL8IZdbDKcOutt+qwRxu8DTwPWjY/yFgMhilg9YQJEzTYyaqGsblz9600Edb9wAMPFFjtQA4AYJakTwwaULIDjcRQDCAkksIMCxZA9dVXX9X7lixZolddYNjynRszPp80aZK/7EMPPWQOu3fngYIeUKBkzpgPxVOpumY3Fizg26OToLCpwpb8ppIC7bnvApHqdUQU8yCoKdF+bSRRKe4H8qAdjG5nngI39zxznWSefJnSROwgnjb79Kjytm6SnG+HFRt7OLorSH6pI+q3UVmqM2Tpv2skVIKT+SpR1h2/fJL8zrkWo/aAu/ejdlX4gkUYL9HNw3JXLCzAsjeN5q1apjc9innJglPekt/NoWJ7z5s/VQOcmX0v1tp/nta+aB4NasyeJNksGK39q9j6V5IaNgAo460z54Fi80BR5pR7O+1te4gP/Ny0VjE+n5O8xbPE2+24YrukEtGwIh9kD3tEvD1Okowj+otHaXdnKB1WjPl97uSvkx69FE+/nt26u1RXi+5b1WL6W/N/imfVrq4gHgAHAsdo3LixPProo9K8efMgpUSTzm644QaN9UDMIhI2WXb//ff7SX2mTRNhW6tWLbOr1L8XGwBqPL9582a56qqrdPg4CXdg7cEMhDEJjRjWoDGQaxiAMEOZSAJ4weiEjfjYY49pfYNgSXrsNtDtMBpIUIRhHs6fP1+eeOIJ2bRpk/z888+6Dephv7FQbVSvXt0U0fpk6H+GMzR5brnlFkGQlr7b4KcBRwEMe/XqJTBCKQOQS9/CGWBpNJpvMDVZoeDHG63RdjhQ1dSDTgpM2MDQfQDfe++9169bBlBqdEthp27cuFEIj7ev0YTQc0/AsoW2zXfDNZJJnv7jG+oxPjcapLBKu3XrZroV9p2+od8ayegj9yVmBhJAWgPUhjqf+lPV9txzbqp2LfH9Ulk4c8d8HL4dtbqHyD6W99figmU3/FNwH3vURNh7SB99LHfBtJAP7sFPTsG9a/6S7Ffv0iCwp5YCJFRGTZ30ZfOGFOxs8Xep9n4+zbW5G1f5O5OhdAvJ4pmn9vyxZV2xMJUYiyKNV/4Oqw3+H8VLN1EDPzGMhZRPCXP3fvy+hkKMl56KVX3tW9IbBTpkhZB76jRJCQCUPuYtnC57Fl6jkjDVEk/N+irWdqdisqoxwYTDF7gQt6MwHmhS2ccAXbp5jdKGLS+dajZRSU+qaVb9cjXWzt2wskjjbSxjJv1nThovY8xOmbEwXhcVx3pyJ38ju9UrJSwOc8q8jWskW7HYc6eNVSyQ7JS4rJLSiVxYnuqFtJOnbhORHVvVPHZFekZn7f1SWlapo5MA8nHYwokpE0nEmBXLuBkMt0nF+45rIicKYzwkq1DgJ30nzwqkNHK/jBo1KqkA6LHHHlvAfcgPLl26VONKBQ6W0h3FDoAaNiBh1jAEjYGWI9Zq03UvvPBCHY5tfixks0K0GYYk7ECSBhH6HGih2gB8NG18+eWX+rTANhC6jaYNTgZ0CwyTD+wLD5THH3+8IGpLYiCYoEZ4mskOPyh+WLAhjQG+ca0mTDxQY3TWrFny/vvv6+JcP7oPDEAAezBUEeXlR/vcc89pwBW9TV62EdZuwOZAViv9AQDG7/SV9vkhQQWHuUl5AE6kC2Bm8uPr2HGfADO+nTFDhQQrg4F6++23+zVC2QfQfdNNNwkapsbsSSTtAYDyXYwbN0769u3rByNhD+NzVmQAxDHaD0xCZeoNfOe6Av0ZWMZ8RtgY8NMAptw/Bkw3Zdx7yfGA9+Cj94V5q4fZsAZYVL+5eFTIpleFPXrrNNaTK1s3NOz56XBwxzbJ+3NBOvS0WPvIajy2fucWqZBZVq5of5R0qNFIymb4FlDQqhu/ar5erd+Vk7xwXfSleUVrLE7FCwBl4ohkStqau/fj+9VFOV4S+g546KlRN2T7nurWMZupH/KMJB9QbK489XIWfw9kqoWlhirDM3ZI7eZyrko6VUZJDNi2etsmef7370Oy8e2ywbZjmeMxXsYzER9zTJO4NFjf3L708kCkOWXu2OHpdUHp2Fu1mJYXbkEtja7pApVklTFnucr6PnblvJTpOc/JhigUTacM4SmassVZhmRH4BBt27bVMo2R+nL00UfrqFXOYxyPFpcIVS8YERgLZDAIYNSL7yCEQRYjZ4uNvdj1UC4wSto+Xhq3UYovdgM4BAC1jS/LhDazH01Qyhjwk30k2DnvvPPY1AaQFsoS1QbAm7FogTTKM2hBRYbNaBvaEjb4yTEAPrLDGzNh4uYzlGwAT0DDu+++W4vfUgfg4MEHH6zrQ/fTrAqgBxoY5m/qCnwn3N2E4gPannbaaVq/k34DZgK4NlUyBWQMNKAl4e72qjXAKwbzE/Zr4GDXoEEDrakR2Lb5jMaGyVqGuO/ixYs14M1x9EUx+mkmivZ9ow+6P84DMXoAzc+Mfr4FmZxZPyk2j2JyhrGMky6TrKselcw+Z/nAT8X02fPSLSKhWE9h6nKH0tsD1VViMayMN1Pu7nqqdFEP5rsUm2PRpr91mBJaTUc1PEAe6n6GBkjT+2pd750HYvdAtONl3hrF0FHmaakWVFXoYjDzdu7l302GZWelxwMNK6pwVjWeYh1qNlKayjtk/Mr5MmLpVPltzXKlw5wr9SpUlXu6DZC21RQL15nzQDF5INY5ZTF10zWbJh5A+qOVSn6EfarGO2eJ94AhoQViNKFaBhOBJAYBwMaKQpUPt3/BggWaRUp4O0QwSGiAzNQLQeyrr76SSy+9VO6444580bTh6iztx1ICAAU4DMY0gblo7IgjjsgHfpr93FzGDNPTfLbfE9UGrEdjRc2sBYofCqG3EyvZTBpWpw1zEoCSpESh7JJLLvEfMqCmf0eIDbQ/jdkMXbPPvNN3A7DCkDTfBT9SE+bP6oUBSc155h1QNpQBmJL9HYNJajRB+e5NqDvAKAZQjq6sM+eBQntAMY4yL7xDC8+zUpzz+csRq/Iozc/clUt0iGOeus9hLWVd+5R4WnWKeK4rULI8UL1sRX1BA1t2lZoqHH7orO/l8rGva83PS8e+Jm/MmyDZuTn6wRz9JmfOA6XNA9GOlzlKny1Pabh5lOxG5lnXqyyLVfK5iqQh3h6+RVB9QDECnZUeDzRVsiLGvlo+U66e8La8MPsH+XDRL/Lo9C/lzl8+lU1KIsGr7ovBB/aWLKXN7Mx5IOkeKMScMul9dA2mlQeObuQjT/21dYNM+WdpWvU9XTtLUmgMElY0hiwgUb7kMiERUWENzOf666/3yzJ26NBBBg0a5Mc6evTo4WekIgVIThibhFbYdkv6efljRYrpatG6DGaG9cexUIg7LFBjAGyhLF5toFVJxnVuLsLKbdZpKHAvVJ8C96NJGsps1qRhOlLWhK2zDS07nOFDssKjtQl9Ohoz9cNCDdc/6qL9r7/+WldL/QCUZB0ztmvXLrnnnns0sxdmKnqs/LA5B03UUIa0QZ06dfRh/A79GyMjPT6nLZOMybE/tWvcn0J6gCQamefdIjygk+RHa19GodmW/d6j+1pU4ZqZA6/V+qGZF9wm2S/eqjREF+077rZKtAcy9zKSSIT06tzx8uPq/LIB3/75u84AP6BFF80EHblsmvyzY3OJ9om7OOcB2wNRj5dKEy/nhw8l8/jzxdvsAMm67lnJXaQSJaqFKU99ldm3eTvJVUmP8tBdbtxaZOd2uxm3XcI98KPKejxPaS1XVpmQgyWcW/zvP0pq5Ee5VmVJrquYoIfUbiaT/o7u4bWEu85dXpI8UNg5ZZK655pJQw+UVTIfPeqp/3fKmD86S44HwJGQOAFzAGhEzjCcvfLKKxorgphVFHvqqae0HCQgKlG+5MrBSLKE/COSkeReIbIXjAU5wOHDhwsJrJ2F9kDSAFASChmWH6HZtoGORzLOB+UOLBuMORqsrsDzgpUBkAtmdhvQjckUnwgLl53LDv232zbsT/ZFAigpA6s2GACKnqcxW7zY1B8KgDbn8G6XYYBABNiulzITJ07UL64HUNdms6IlCkgaaKtWrZK333473+6ePXvKqaeeqvcZ9idgqEmIlK9wmA+A7FdffXWYEr5DkydP1gOeDbIDvtsgfbBKKI9miLPU94CnXXfJPOP/hGzCaLbteV39zguTqXf935L99gPqYf0ZIYlHRp8zVUbg+1LfAa6HcfHA+p3bpL562IZ5NC6ELtOo5TMEAJT/LbCYkgGAksQtlkU6+/9eUR3DeB9prLTbILTH/j9kH3PbJcwDEcbL3PEjJHvrZsk46RLxlK8kGR17+h2QO2eyZH/whGRd87jel+cAUL9vSsNGjgpx/2f7v/KP7JOiCrxuAM//tDtaa4M2rlQjZgA0lnErsO2ifmaOGYtuXCwaz0Xtmzs/sgfiNqeM3JQrUYo8cGjdllI+s4ySVtojv6Qg+5N5pkkaHM3XEsu8NJr6ElWGa0Jn84033hBC0cE3Tj/9dC3HaLdJZC5lDLHrnHPOsQ/HtA3pa/To0focsKeuXbuGPL9379464haQlNwrDgAN6Sp9IGkAKMg0Oo3Yiy++qN/Nn2h+KKDZp5xySgEA1NQR6T2aNiLVwXEbJGViAiXa6EJEc364MrFMdEw9tq5EhQqR9a/MZA5qtm0AlsZshqmp32agmnKB72h8GjP124AhA8U4pV1B8if2G/CTuvnhEr7/0ksvmSr878GA3XPPPVdLIjA4GAAUYB2GaywG6Grrq4Y6F5+89957+Q5zrvFnvgPWBx7iHQBqOSRFN709T5aMEy/UgFTuqmUKsLxXs4wK3V3FGs39faJkdFfyHnszyRe6LvtEBZipJUV7j9tOMQ9s2LlVA6ArVWhSKNuevVsBpNukatkKOmNxqHLx3M//QDtiIp51R6orVgCUcd0BoJG8WoKORxgvc3/7QXLnT1Vj6f4qg29TlWFstWJ+zhLZtkVEgaJSda8UUrTJLTJVQjIlQ6EmIiXIie5SQnngbwWSAn7WLZ9fQiFUeXt/pDmeXTbe27GO1xAIGDudFb8H4j6nTMIlhSKhJKFp10QMHji6oS/8HZ3jZCbSjPmN8lMAAEAASURBVLaLAJrFOW5G28/ClBs8eLBAygJ3IJk0QCfJqyGAMfYSFUyI/LZt23T1yC8aCb/CtEdb4CnIIIYDP03dtEfiavoAzhKKPGfKl+b3pAGgJcXJhHWThQtdB27I559/Xj777DN9eTbYF3i9RVmZBXx7+OGHA6vUn22d1H/++Ufat28ftJzZSRksWqCQ+pcvX67p16aOUO+mbrt+W5MU3Yprr71WyGoPaMxkDQCZ8HYezo22Z2D9JFrC52S7J4M8hvwAiZhICGXadeHvgZ5zn6PxQEbfiyWj50m6aO6C3yT7vcdEdu8MfSohzlVriadabclT4ZehLG/jWt+hMmphQIWsiEqEE6sdqE69v1GOeNT5zf6fYjrVbyrZSpM0V2njOUtNDwCAYpWVbmE484gCs5VtVECoM+eBEuuBeI2X2/6VvLlT9Mv4ynv0mTrxnPmcu8InN3FezVw5bW/OpFp7Z7mees00G99Tv7lIFaXlBQCq2Ke5y+ZIznfvKzA1NIvQ1O/eU8sDXrUgWCnLN87+uzu0/AFsKWyDYuc7cx5ItAdinlMmukNh6vfUaSwZx5wtVVTiz2FVa0rurp2ya8Vi8UwcKXnzfg1zpjtUHB6oV76qtN6b/GjiaietlezvAHAXJibvJB4ionbatIIyBGAaF154oQ5PL0ofwZow8qxEY0RuQRoDtwFrKYr2aDTtpXMZB4AW4ttDD5MXZocJ2szJwGr5kRTWYBBOmDAh6OmNGjXy71+9erV/O9gGjBoDFhox32Dl7H3UbwDQSKsJdvvmR2cDoCtWrNBV2/6z27L1VO39bHMOqyhoh/72228yfvx4ueKKKzQQynEA3e7du7PpzHkgag9knHCBH/zMmfyN5Ix8RTEsw7OCPI3bSNbg+3Ube4b+N6S+p6dWfV8/VEb4woCfnFwhQ6SZemWceK5kKPDTWep7YNmWtXKEtFHMzuqyn3rw3qHYnoHGA3mVsuX17oUqO7wz54GS6oGijJeehi3F0/ogvSCV+9PIfC5if0bv0/37SFgHoInV8eFd/mPe3gMV+HmWeABjleVtUfOxMmXFU7uhZKiXt0NPyX7/MclbNMN/jttIfQ/c2aW/tFHZ3eduWCn/+9VHRAjsdYXMslKjnE9ma9U2dY84cx5IoAcKM6dMYHfCVu099ATJ6HuReGDEK8vbtlk8alzcr2U7EfXK+fV7yfnsBceUD+vF5B48oHoDf4MLNoV/5vcXdBtx9QCsSsLMkeEbM2aM1gQFbGQ/OqG8+vTpIzY+U9gOGLIamd5hmNqYU7A6wYsATYkINjhMsHJun4gDQIt4F9g0b/Qg7BB5UzXsTxL5JMIAGFmJANyEkm0SAwVri+RNBqRFnzMaa9q0qQYZ+VEhYRBKY5N6EQXGCNuB7Yk1a9ZMszwJe//888915rJgcgQklwLUjGTQuwFA+YGTbf6nn37Sp9CvwkgIRGovnse33/SGro4wE1suIJ5tpFtdyCCYe9L03Qz45nOy3jMOPV54xWJZVz0SsTgP2WUeHBGxXGAB/IJ/uK9teYvMUy4X4VXKDZ0dO0yaiQEC5dHYB9EUKmIZ2ElvHH1ZxFoe73l2xDKxFkBD04TgxHpuqpU34yb/W/lfV9qNSbCRpjG+4H9uNDI1pnxxvRdpvFQP6uHMU6maHme3b9+eT3bGjJ/2g4OnUtV8VXn2qyBZF9+Vb19J/MB4ybhpWyrOR2IdnwEFPjjuKvuygm5fpjLB8wpljJmMneluZsxkvAz2TJLu11eY/hNxZqS5zPnkhkjkc0Nh5pSmb4Hvmaep+5tXgsw3n1KL/3t2qIi8bP3/JKNLH+FV2o37xuSnMAJ+qTAfeeWoS4r9qwk2Hyn2TiWhA8wnOnXqpF+JbA6Mh7bWrl0rgKAGWwnV5gcffKCfqSOVC3V+adrvANAiftt2CPpHH30kN954Y74aYU0ilpuoSRUALEK33PQkLPriiy+kf//++frAByZ2aFUYO+qoo8xm2HcEf9Ff5R/Aa6+9phNRBXvQAtw0VG20OE0ZHszIUPb4448LICd1oKFhP4zwjwUtjWh8BAuUunjIITES+hgYwGiq2xW/DEv1Lpaa/mV6vPJYj0E6M+ya7ZvlxTljJDeMdtae3GxZ8u8av3/OaNlVJ7Fhx8tzxsqYv+b6j9Xer7IM6XCstKxaR7aqUPobJ76vwpxDh+f5TwyyAXvl0R5nSQV1LEeNJRlqhfF1lVl89IrZQUq7XanigQHND5EzWnXT3Xlh9g8yfuV8f9e61WkhV7Xvo5NyDFswUb5YPt1/LBEbL3Y7JxHVJq1ON24mzdUJa6iw42UZb6Y83+sCqaiyfE9WyWw+XjxFzmp9qHSprcLYLYNlfeX4t4Kyre/tdpq08lSUeYoleE8QliDswEfV/wJY2Z8s+VW3YVXtNlPYA7XKVZKHDjtTKmSVlWWb18pj07+S9XslSOh236ad5JzW3cWr/t9/uOgXGbF0atRXk87jphszo/6a41awqHPKUB15/ahLpby6v1+aPUbGhkiqGOrccPsf7n6mNKlcU9bt2CLX//x+AS3JTjUby80Hn6TnncxhV23bFK46dyxJHnj0sLOkkdIznrP+L7l36udJajW6ZtJ5zIzuCvOXghgG6zORiyiQXyB4kQjppptukvvuu09HwubviWiA/uOPP5ahQ4fqQ+eff35gEfc5wAMlCgCdM2eOPPbYY7JkyRLNmDJJdgKu2f+R1fBA1iFMzV9//VWmT5+u6cYHHXSQNGiwj3LOyehXTpo0SZcBgOMHANCJTiWAKOAiIeag9ewbN26cGHFp2nz55Zc1WEk4evXqe4WqVL02m8l0kixigfqhXOdbb70l/fr10xTniy66SGB3rl+/XoODULIJGSckHTZd5cqVZerUqfo49Z5xxhnSokUL00TYd66D+tE6JUQdhimrHqwW4l9WJ2gXVibGimpgVnX6+cknn+hQ+mHDhukfMgxImKD0E+A0MJEUACc2b948mTJlit4mxL1169aaWo5fv//+e70fLVZeAKgmURG6oYceeqg+7v44DwR6oHfDAzT4yf7a5SsLoXThDJB0yI/v+It8vPhXaaV0eNrXaCSXK0bJCY07yB9b1kl19TDdskodDW7tzN4jz8/+vtDgJ41deuCRuk6yhh9Rf3+prPREXYoD/9eQshtf/jFDP1wAdpKBeFCrQ2XexlVSZ78q0rxKbd3vr/6YmXDwM2Ud5DpWqjxQ2PFyt1p4ev737+XGzn2FzLf8nlg8hXXCOAjLGvta/ZaCSU2UzciS5pV9v7dv/wyu1wxgNls9THat01yVraXrc3/SwwNrd26RF37/Qf5f5xOkmfrunlBs+nkbVNKInN3SonId/b+dK/nmj1kycllBnbb0uErXy3TwQFHnlMm8xqplyuv5CW1+tPiXAuAn+2es+1MWKXke5rmH1W0lw9XikLPi94CR81gRJslm8feyZPcAScOnnnpKYzu8g4kY+/nnn4Wk30QEgx+R/NmOFDblYnm//PLLZeLEiTqBNNJ/hN/37dvXX8U999yj5Q1NNCWkuB49eviPu43gHihRAGggmGlfMjesDTZyDMDRZKbnM+HUMCht++WXX+yPGlQEWQ8MpTCFyHDPC3DPMBoJNwdEhSVJm4CawYwfDWAhyX2Mvf766wVChGfPni28APjQeIBteeedd8qtt96qmZ6At6Hs8MMP19qZoY4H28+PifbQIQXstH02d+5c/ymAmg888IBOauTfqTZYHYG1efHFF+vQPajcgUZyKbKokdQIM2AwgKpJjgSwjfgwbE8AUGMm+RGgtClLFjRnzgOhPMDDUlGMx+8Hf/tCjlfA5+mKDcqKLC8MJinZGd+YN0HWqQe0wtrhCvDsriaeK7aulw8WTtIAaGHrcucl1wO7VMKrJ2d8Iyc26SgnNess1VS2d75LDKBm9J+z5f1Fk5LbKdea80AxeaAo4+W0tX/IQ9NGaVY9TD9MR5CocTZbJTLK9GbIWsViCmZlMzI1q7NauQr5GPyBZXfu1ektrxj3ztLLA1PXLpObJ30oF7Y5XAiF71Srib4AQPK/FWttxFKlGb9qHwM/va7O9TZdPFDUOWUyr7NhxX3EmwVhNMhZ1AcAbVejoQNAk/kFhWgrS/2vgw2M8VzgLPkegFhGFKvJeUKOFAOAgh+BURgjWTOEtGeeeUaTw8z+WN/RFIU4d91112mgM1Dqy+RPYf+VV14ZNAo41jZLQ/m0B0BHjRrl/54A2k4++WRp1aqVZigCOJobY8iQIRp4hHEYyrh5YWqSaKdNmzaapWmDfZwH8EY7xx57rBa4XbhwoQCSQoW2DfAT5mWvXr0ENuKjjz7qP3zWWYrCrpILoc9DYiBYkRhh6iD577//vl/rDPCREPFPP/3Ufz4syM6d1UO1dS30IRrNN5ia/HCjzShGo4DH4UBV0zFAYViZ9M022LH33nuvX7cMoNToluIjxIMJj7cTRZkQevxEZnvYtKyscI0AxPT/zz//1PUYXVKjQYpfunXzhZ/a/Qi2zYpJNNcG05d+M6k2jFzONSsuwepmH9fuLPU8QNg6r6IYQCcsvq8Vu6SuYpHWUdkZN6mM3itVooU9ZBgughHad1HbI/QD/nOzvpfsCImZitCUOzWBHuD+4AXjorECyLfu2aXujw2KcZGdwFaDV82iUqTxyj6TMdqWKrGPxbrNuGkWtaI5142b0XgpvcoUZbycqdhIo5RURI66j/7YvE62Z++S1ds3yTOHn6cB0FCe2Lx7h3waIewZDmnravV0FUs375M5CVWn2596Hvhzy3qdBImkc/UrVBWYv8tVSPz2vcB2UXocy5hJO/EMh2TMZOx0lvoeiMecMthVXjzm1WC7i7SvStn9/OczZw1l5vfTqKJvcT9UObc/OR7gueKsb30hzslpsXCtMH+LZdwkijZd7JVXXtEYCnPj4447Trp27aq7ThQrcocYhDf2kyUe7AKMB9C0KAauNWLECB3tS8QrBk4FLgFOAiYC69NpPkfv5YQCoISjG3v44YfNprz77ruajQlYiaELGcoIKTc6j4FlCCEntBoj2Q5twCI0NmjQIB1uDRuQpAEvvfSS3HzzzeZwgXfYlDAI7Qzp7dq1k6efftpfFqYibEY7uxfMyNtuu02Xge155plnSt26dXUmMHaec45Pg61OnTrCj8cGLjl+6aWXyi233CKTJ0/WPyyYjD179uSQRvMJBzcAKIAoYK5ts2bN0qAp+wBb0Yhg0kSSIABdfMhKxHPPPae1M9Hb5GUbKxisZGCcYxv+I+SdQYq2YWAuXbpUU7zxB+UBOAGDAYgBhzt27Oiv4ssvv5QZM2bozzBQb7/9dr9GKDsBqdG2QMPUGA/fxmiPQQSQGTkBqN8mkRJ6o/iT7xe/YbQf7SQUQPXcc881TYV95zsH2MavGIBvJJmFsBW6gyXCA7CbVm//V7/icUEe8chVHfpoTbr3FfOTVXhn6e2BTbu3y6b124v1IlhIM0L+0XSExal4AaA8yLuxMhqvl/wyhR0vYfIlwno1aKsWsKroqgFanaWvB2DX21rd8biSWMYtxstAdk5R+sAcMxYgoShtuXNLjwdWb/vXf7HI8vwZgk1YZ++4yMKCM+eBaD3AmBXLuGkIT9HWX1zlGI8BNTHwpt699yXUYz/zXLCLZ599VmNE5FA577zzdGRxUQFQ2gT3sPOdgB05K7wHEgqAhuqWydwd6ni0+9GlBBTjhiME3AY/TR2AYYROow3JDcoNCYMymAEc2uAnZU466SQtKmsmIehb2uAnZY444ghdJwAg4d229iTam7A8MULnA8FP9gPWAZoCgGIAgQYA1Tsi/HnkkUc04Ikf7r77bg2+cortD3Q/6R+Z4ukT4fb2jzdUEzBgjQwAqx2nnXaaLmqH6bPjrrvu0tfHAABAjEapeXgGeMVYqQDoDRzsWC0heVSgdqg+Sf1BUxUQGuYl/Qfk5TvFkAzA6Kf5jkxIvD7g/jgPpJkHTml2kLSpVl8WbFztdMvS7Ltz3XUecB5IHw8Qtnp+G99i86S/F2ndu/Tpveup84DzgPNA7B5YpaKUIMnwjHZkgzbyzoKfC1RSRenNd1Aa9xhayySJM4zQAoXdDueBUuABomfBOMAyAjEag2sRQWwwIhiaEN8g64FfFFULtBS4OKmXWCwAKFmtbIZfuCuG/WiALbscNyHMSwz2oqEE22XMNoxBAFAGfEDGYAAoGguwPQMNdiOgKPRm+hxKWBYmpAFA7TpghAK8wmKljVDGj8RYLCwdmJmGOQlASVKiUHbJJZdoAJHjgJrRAKBofxpDwzOUQb8GbP766681QxIgGJ/AFDUJjaDFh/reAWVDGYAp2d8BP2GSGp1P6jeh7hzDoIlHm+ApVHtuv/NAcXmAJBynt+wiaNINVck/XPBbcX0Trl3nAeeBkuyBekqy5BaV5Rh2E2Ggr8/1zSdL8jW7a3MecB5wHtiZs0d++GuO9GnUTk5o0kHJRayTH1cv8DsGsJPkjTbz0ySc8xdyG84DpcwDSPVh4DomCpXPmzdvFpJTYyRrtg2wFIMRW1gA1JDQ7HojbYObIB/oLLQHigUAhSEYyCAM1UWYnbAVAw1E3QCjsCoJAw9nsCwpT8bxYBYOnDQ3LSBlKACvTBlfiEAw7TI0GWAt2kY5fkzoWNqZzikTrA77XHvbhK2zr23btvahAtswQskKj9Ym7UZjpn58TFh/OKN9AFCM+gEouTZjALtonMLQZJUEvzAocE6oxFCcu2jRIn9iJUBstEAxMtLzfdCWScbk2J/aNe5PGnqgjDdTru5wjNa0e23ueFmzY3MaXoXrsvOA84DzQGp7oLVK7EFm+Uplysm/u7bLfb+OlC17dqZ2p13vnAecB5wH4uSB95S80sG1m+kEjUguHdu4nZaPINFce5X0qGJWOfly+Qzp29SX4dqxP+PkeFdN2nrAENUCMZopU6b4cRtk+YyR3wQMBdJfYHSxKRPNe6jo2HDnQgT74IMPwhUp9ceKBQCNh9dNWDl1kXiHVzQWCgAl23gkCycua8K9Q9WBdiR9/PXXXzVDEtAuMHFSqHPD7TdgIGWiuQb0QAFAYWaizYnBrgxlhl1qh9OHKmuX4fpYJdmwYUO+4hMnThRe6ImyQmHrhMC2DcZ+hT379ttv56sH+vmpp56q9xn2J2CoSYiUr3CYD6zOEL4fycjkNnz4cP8gR3n6a1Z3Qp3PQBnsmkKVd/tLrwfOa9NDJXCoJlPXLJOxK30LB3mbd0jeir3ZHo90CbVK791R9CtnxTpabWRai/Q/LZYeMd5HGivt+vh/aRY47f1u23kgGg/k/qnGzC07dFFPyzriKZvlP61bnRZyVfs+UkZliF+nssc/+NsXOnGdv4DbcB6wPBDLuBXPMZMuMMe0mUZWt4JuolHnzHkgGg8AaN466SO5Uo2F7VWoO9neeWHbdu2QR6Z9qcLeffkgdinGKEnsnDkPROMBnsUNKSza8tGUK+4yEOUYk4mMZaw1/xvITYJBEmvevLnehqxlcreQoyZZhu+JBAbrcRbeA2kLgIKsG+MmjPbBLhToGMskw7Qb7TvsVJis69fvBTKsEwENO3TooEP4hw6NPbsbWd2NmVBz8znYu2Gz8uMluREWjo1LciEsULdT7wz4YwYDdpuJmL1Scvrpp+skRuvWrdNAogE/qZtwfH60JKoKtGDMUxIX8VDNIGMAUMrFMujSDuVhkkYyGMeBybo4l8EwnCHVkCwAlOQ5MFpIBFDULOThrskdi78Hau1XSY5R4UhYRbUCf33nE3yNbNsteU18TND91H6sT6MDpUPNRureF3lixte+cu6v80AED/A/LtbxMUKVUR9mrI40VtqV8X+jOAHQ/VQW6QzV5617dtndcttp4oG8eSslDxBUWUaD6gpJ8gGgfZt0lHP376HBfbKEP/TbKCFBWbyNzPIOLoi3V4unvljGrXj3MNbnEnTmmBM7cx6IxgMbFfv9/qkjpWWVOtK0fHUpN2uVDuUlkZj3lIPkpKaddTWUc+Y8EK0HAOGKc9yMtp+xlmMeC14Dke3KK6+Uyy67TObPn69zkFDX0Ucfratk/krOlwULfLISxx9/fKxN5Sv/3Xff5ftsf2DMh9gHKZCk4LQJ+/OOO+6wi7ntIB5IWwDUZhteccUVOrlRkOsr9l0wKMk8j1YnBj2aJEncoLygRmNkFjcAaCwTGBuYDGRb6ooD/gDkYUysogHmWEVYrijc5ryA6vJ9tMsQao/ZmqQMHNdee60AXqOpSvvQwqGV0x+j7ZmvUvUB+QCyywMkk0EeI6s9wO3MmTP9fSObvA246oKl6M+AFofIwJZd5aXZY/wMwlJ0+Wl9qYS/GyMBUj4LWDxsUqmm8MrNKxwjtH6FqnLpAb3yNRHswweLJsvCTX8HO+T2OQ+UWA9UUqF/j/c8W7Jzc+TK8W+V2OssbRd2/v495cSmHfVlT1/7hzw981tBCy+elunxyv3dB+rx+XUlYzJ6xT4N9Xi24+pyHnAecB4oqgfyzQVz8yQvo4507qxAz6wM8dSspCOSaOOf7T4iTFHbc+c7D6S7B2677Ta54IILNAsUPMNY5cqVdTJrPgOUGjyka9euQhLqopjBU0LVAfmLiFuSdg8ZMkSIWIV89dhjj4U6xe1XHtj31J1m7jBZtug2GpGpap999pkf/OTGHDhwYNCuGqYlB2MB8QyAynkwK8MZPwjzo2R1JhoAFD8bAJR+8cMOZWRIM1ajRg29aQOgRrYAPVFegQaAGcooT6g+2qGwXsePHy8A3wChzlQisJqN5dTmBztXpKkHYCG9M/+nAr3P27BNchf6fldnnT1IypUpK7/8s0QWqgzxheV5tKpSVw6o3qBAW4E7Kmf5xLsD97vPzgMl1QMAWEM6HiuVVQbcDTu3ltTLLHXXdU7rw/zg53cKlCThkXrcj7sfzmrdXYOfca/YVeg84DzgPBBHD5D8iCzv+eaCNYMn0XUAaBwd76pKaw80aNBAHn74YXn00UdlyZIl+lrAO8hvYhPzkOgjL8rhhx8eVzmpcM4jEhq2KQxVstITFWyT5MKdWxqPpS0AWr16dZ1EB2blpEmTwn7R6F0iIgvTkEzlgwYNStp3PX36dN0WoYf9+/cP2S5MRmOBAKitKxTIDrV1P8kUBsgJ/TyYQaM2YYUAimQui2RNmzbVICPSAT/88ENIjU3q/eabb3R1XCtsTwztC1iegLOff/659n2wsB4SQgFqRrITTzxRA6BQvmHN8iNPF3ux2zm6q4DPtlxAvPs/uN1RwisdDBkEc0+a/kZa7TLlSvo7fuE38cKoUfpSzzzzTP2Ohh0v7Pw2PfV7Iv7ccNCJiag2bnUy9jPeGWOcrFKlivlYqt/R0Ny2bVuJ8IEZN9HgDvW/LREXWr1cRfnguKsSUXWR6mQOYC+YUhn/c0vzRNf+n8ek//Epj8vMvSHwjx12ltgL5kiNGLmRIn0REU6++IAjhVcqGeOliUYy/Ur0fMS0kw7vjJmMneluZsxkvAyXuyDdrzOW/kP4MNJc5jyen6KVTzPnlNR3ngdH7Z1r8nzdp08fv2+ObdxeJUlqX1IvPeJ1cd8EEoaSPR+J2MliKhBsPlJMXUlasxCxSDAEaYv5RqtWrQq0TYh8cZghkjG2lUQZgnj6NG0BUJyADuQLL7ygtTXRZ7zmmmsK+AYw8fnnn9eTPiZ+gwcPLlAmkTsMYxIAkXD4li1bFmhu2rRp+ZL8BE7A7Js48B+4/UBIWPkXX3wRFGhlYvfGG2/42yZDu0lw5N8ZZGPAgAE6+Q/t4uMePXoEfdAC3DQJpgjzNw9jPJhBF3/88cd11nvq4DuwQV3+sTz55JNRTTxhgVIXgw6JkUiQlC5W/uGL/F3d7d8qwkalapLZf7B4D+iWr5LsT4ZK7tTokoLlOzHCh/N79YlQwh2Otwdyl631V7lbheTCySRDPCymwtpdXfpLW8UAHbF0qny46JfCVuPOSxMPmIfhNOlugW6acROoex/cXaBYkXZ4Ox0pGf0uFk+Fyv568v5dL3seutT/OZEbbmwtnHdfP+pSKa+0kQNlX3I2/qUrBNzIqupLcLlm+2Z5cc6YsMk89uRm60zIsfamgkoW8miPs3RGZZKFoB/rQuBj9WJqlU/ncdOMmXg0LnPN1PpqCtUbjzqrfMCZiAiVVv94jxwgmcefpz2SM+NHyX3vCfl0qY88c0Yf9f/Qe6w+lv3tu5I77pMAz5Wuj3gl8N5J5Hwk3bxrfLP9pn0YQ7pdQ2H6Cxs01QxyG4xUcBgbH0q1fqZCfzJToROF7QO6CmQyJ+P4Rx99pLUlQd1hHMKeAlgkBB1mJNauXTvp1i0/WFTYtqM9D51KE6JPgh+YqGQSw8jGPmXKFK3TYCdnCmRmAqIS6g6IOWHCBOnYsaMOIYdeHWgGaITlygoVAPCcOXPkgQce8IOF+G3t2n3ASmAd9md+QGhYwERjZeGUU07RoehHHHGE8AJUHjZsmH5xHqsOXKNtsED5UaL9SVnAUjKlwS6FsUVWeEMlN+cBAr/11lv641FHHSWsSCLwy3dJGwCg33/vA/lI7IQQMPb+++9rNgyh90aQWB8oYX88bbtK5sAh4tmvgha9z50wQryHnqCy3QKROXMeCO0B9EOxZf9GNwaErskdcR5Icw9klpHMc/4r3jY++ZC8tUpH+s8FknFwejDo09z7Ce8+c4e6aqEQq12+stypFn/CGSDpkB/fCVck6LFLDzxSYAyPWj5Djqi/v5ZQyAta0u10HnAecB4ofg/k/vi55B17tni8GZLR6XCp3KSNXD9/sc65wPMWljNtnOSO/7T4O+t64DzgPKDxHPKh/Pzzzxr3QlYQslnjxo11lAuEtbPOOktLLQZGejj3FfRAWgOgrO6ju3D33XdrNiMh3rxAv2EsApIZA2xDt8FmHppjiXy/+OKLNWhJgqLJkyfrF6sGhIGjrYkB4F111VU6hBwgMBAMpAwCt4CQ3NSAmRjXbpsBGd955x3hhTAuoXI2a/SYY47R2pn33nuvfWrQbcLL8RlArTGARrKu84KZaocFELr8v//9T0sNUB7A9plnnpGvvvrKnK7fCXsmoREvYwDTnG8yuvM9maRIAKhc8+zZwVlvBvykLlihGKsfJRkA9bY9xAd+blor2Z88J3mLZ4m323H62t0f54FQHiDbPIwpbMnmNaGKuf3OA6XDA+UravAzTy0U5v6mhONHvSbeLn1Kx7WXgqsk0WSi7XAFeHav20pWbF0vHyycpAHQRLfp6ncecB5wHiiSB6rU0OAndeSp6CJvtVrSvXstXeW/G9ZLhZ8+ldzJStZMMdqdOQ84DxSvB8juft999+ms83ZPwHh+//13/QJrQQP0+uuv13iKXc5tF/RAWgOgXA4h5YRV84INCnty/fr1/iuFBQnjkeRDdsIgf4EEbwBKPvfcczrDO6g9ZjQaCA8nIzzJkdAnhSEJ+Ll48WINjgLaGrvllls0yxFNUcMWNQCqKXPnnXdqnU60OgE9CYk3RiZ1NAQBQKMxmJRIB2DoVZ5wwgmaTg3rkn5iBvzkOPVedNFFmn3LMRi4l1xyif9au3TpokFcrg9NVnxgA7O9evWShQsXcqo2+7tCa8OAn7TFefgOPwCUwiY1oDHCwxyzfWfqDPYO0xR/RTLqh3mK3gnALsa55rsIdX6gnmuocrHuz9u4RrI/fV5yp41Vy7TZsZ7uyqehBy598i7J6NK8SD1vupf9uXn3Dlmvkrwggt+sci0h8/WKrRt01vfV2/cteBSpMXdySnkgUGs3UudYpIvXgiHjYCzt29qukfpZpONqPM+ZPl5yxg4XWftXkapyJyffAxePeTVso0gkvbxumniqmiC9sMVjPlirXCW5qO0Rkq0AhOdmfS/ZeQTVOitJHog0x7OvlfEymMa9XSaWbcbMRM0hY+mHK1vyPOCp10xfVN62zbLnkcGS3am3TK7SUj/jbFgyX07ZMhdktORduLuihHuA+Vss46bT4Q3/lUAaA9Q0SazJsUJ0MRHEYBNIE5JHhWhjcrEAij799NNxm7+H7136HvUoQKdELe8AfpIchx9g/fr1dVauVPlxARyik8nNCWUZJmisGg1MiAAPAeMIU3jkkUf8wtU9e/bU+/hKAQlhi5rweaPJaW7VqVOn+kPiYYvagCE/srPPPlsPYLAvYYHa2c2oG1CSEHX8zIrDbbfdZqrW7zBxYYNiZGs/5xxfAiC9Y++fGTNmaPCX/iIijDQAACvMUqQLAF2N8V0C8B5wwAGa7QsgjC/JsMaxDz/8UBf9+uuvtW/MeZHe+S4I8Y/WAD25vzD6ihhytGbrMkV7Tizlsu56VzzlKihGqNMAjcVvqVwWDdDc733MZ0+nJkUGQAe27Cqntegi63ZskW17dkmTyr5weOMD9Ou++mOm0gadLHvUQ72z9PdAYbXsKleurP9/xMMD/N9iElcYS/S4Gdgnb49+ktnvEnEaoIGeSZ/POd/Okry9SZAyBnZLCADqEY/c1bW/tKlWX95XzM/Pl03TDnq598U6BL6oWs3p4+2S2dPCjJsAoPFMxBcsSWQ03k72mBlNn1yZ1PJARp9BknH0GZKnosjydmwV715A1PRSR0X8/IXkjB6mGC3pnxjMXJd7T5wHCqsBCj6RTvk8EufB4DXD/EQ6kOhmIp4hzmE33HCDjgx++eWXpXPnzjJ27FgdGQxJ67///a8m/gWvMT322rhUInqc9gzQQKdwg/BKRYMNyqsoBphrNEQD64lXRnSYn6zeAM4COtrgJ23CwoTtSej5e++9p8PWYdi2bt3a36URI0bo7Vq1ammgkgRMgIUmOzwHO3XqpHVZoW/DZjWSBYCugQbAyooHxsO0SbjUr18/rfUaWN59dh5wHijoAcMAralC4auULS9zN6zUrE8YoO1qNJQ65atIv6adpEmlGnL/1JEFK3B7nAecB5wHnAfklGYHafBzwcbVMnIv+Onc4jzgPOA8kA4e8NT3PWd5qqqw94pVJXvJbBk5c6HOHXFQx/ZSo3ZdyTj8FPHUayrZr92dDpfk+ug8UOI8AEFs9OjR+roglYUjbPXu3VvjKICkRESDyzgL7YESB4CGvtSSf4Sw8WgZpYCNAImBBqOTREsYAGWwrPXmnL59+2oAlB8o+qY2APrss89qujaMSfRGR40apZMYkazKZqMS+g8ASjkjDRD4A4fpagOnMFYxMtmjHUqyK2fOAyXSAx51VRle36V5+VA0MwmQNuzcJg8ogPOvbRv8FWYpMfwL2vSUPo3aSXsVGt+7QVsZu3Ke/7jbcB5wHnAeSAsPMGaacbPow2aBS26uZENOb9lFdmbvlqG/fy8lKoyqwNW6Hc4DzgMlzQP+EPjNGzTAuW31Chm+zDfXnFgpS24ffJFkqLwC3pYdxXtIH8md6ks6W9L84K7HeSCVPQAzlqhbsJhAbCRYv0888UR56KGHtJQi8ilEATsL7gEHgAb3S1ruJQO8YUlGugCYndClA43wdwOMwla1ExUFluUzjFSbkWnKAMQSmo7B/ETAl3Bz2j3ooIM0CDp//nyd1d2cwzuarWSatw0AlJB6gNYff/xRxo0bpw8Tph8t4GvX57adB9LFA96mtcR78ZFx6+7Nkz6U2vtVlo27tquXT8vWVE7I++vzJsj+VetJI8UAPamZCqlwAKhxj3t3HnAeSBMPZPRpl7CelvFmytUdjpFMtWBEmPuaHZsT1par2HnAecB5IBEe2PPs/xNPtdqSt0XldFAgaPkMkTdbGs3PXZIz8mXxqMzw3rpKeumI/g4ATcSX4Op0HojgARPtimxiNIYMCwmwiapFdjFVI6KjuZZEl3EAaBE9TBi4SaIDI5FkP9EY+pyGaQlQiH5DKtiKFSv83UDjklc0BlAK5ZrM62S1N/bnn39qgBR2KroUv/zySwHQ05RF1xTqNn609eLQojN6oqYseqckPCqqwUaFrRrJvvjiC3nzzTfzCdJznTabNVgdrMDYWeqDlXH7nAeS5YGtSvdz6561IZtDA/Sn1QtlUKXuUleFw8MKdVqgId2VVgdIDheLHna8EiDhJFahI42VtjORYDELcfZ+t+08UNweOK9ND6lfoZpMXbPMLRAV95eRhPZjGbfiOWZyacwxY0mCBFMIooAz54GIHti+RfLUK6SpZ5fcGRPEe/x5IjXqKrZLltMCDeksd8D2AMQkcnlEa7HMS6OtMxnlXnrpJZ0MGtwjHPls/PjxMnPmTE0KO/3002PqWtWqVXV5ImUZ2yP9j2HuDGgK5uLAz/CudgBoeP9EPAqQCd0Yg54cLQC6bt06/3noNqQKAGoyvHM9aH1GMzCRDZ7wdfyAD5i0EUpP8iSSEkVrr776qk4MFVje1k2lP7QBkzQe1G4ydh577LGBTRb4PGfOnHygLAU4F1AhnOEHB4CG85A7lmoeWL3NlwXe6/FqtujKbYoh4CztPcDYGWm8StRFMlbH0jbjpgNAE/VtuHoL64FaSjv5GCURglXMKivXd96XqNHUWT7TNyfo0+hA6VCzkXpoEXliRvTzIFOPe08ND8QybsW7x9HMv+02AUCdOQ/EywN561bpqjxqIVyq1RFZ+1e8qnb1lGAPAIAW57iZLNeSeX3kyJGydOlSeeqpp4I2ywLWY489Jn///bfO5B60UJidDRs21KDn2rVrtVygLQcY7DQSVDN3jlQu2LmlbZ8DQEvbNx7heu2ER2RvHzBgQIQzRF555RV5++2385V78skn/eAnqxBkim/btq20aNFCr0wwGACcvvvuu35GKLTtYAYAyiDDqgY6GACzzpwHnAdi98B+GVk6Q/EalQU+L4RyXXn1YG9sQ0CYvNnv3p0HnAecB0qbBwh/N0b293CG3jKv3DwTVhqutDvmPOA84DyQRA+UVc9RFaqIbFwjEmKM8pSrsK9DKkzemfOA88A+D5x55pkam5g4caImgTVo0GDfwb1bP//8swY/wS1I2hyrweQ85phjdCKkm266ScgIj6xgoIGnfPzxxzJ06FB96Pzzzw8s4j4HeGDfbC7ggPtYOj3QqFEj/4UvWrTIvx1uA1DSsChhf6L1+fnnn+tTqO+5554TdDxtM6zO119/3b+blZJQmp6UN+f4T3AbzgPOA1F7oF31hnJ7F5++7v+mjJC5G32r+4EVNFb6nxgaoTtUkg9nzgPOA84DzgMim3Zvl3fm/xTWFQNbdpNyKlz0l3+WyEKVId4FJId1lzvoPOA8kGQPeFq0l6xL/6db3fPy7ZK3bE7QHnjqNdH78wA/lW68M+cB54F9HiDxM9G706dP10mehwwZsu/g3q3hw4frLZITIfNXGLv88ssFkJXIYYhpSAWShNrYPffco5NOm6gpsr/36NHDHHbvITzgANAQjimtuwEqSUREaP+kSZOEbPGhNJCgfV999dVCJncA0EGDBmm3GW1TPrA/EPw0vmXFgkRIxmLROjLn8G5rYqSy/tH2m97Q3UYbJZEs1szTrhLhFWf7IM71UR1ar2bQNtUbzRPzubS+4xdbCxc/cN/Eoq0Tynd3do2sn1utbAX54Lj430eh+hTrfsYoQqWNMQ5UqaIYDc5kz549WnO5JLjCjJv8Xwq1QJaI6/RUqSFlHhyRiKoL1BnL2Mr/OBYZbSPcLNT/abtcadhmzoIOlm2MC/Y8wT6WqO1udVoIL+z8Nj0T1UxM9TJeMm7aluj5iN1Wqm+jU8/Yme5mxkzGS8ZNZwq/U88bgRIBABKxygyUNF9mXX6fvqRNm3zSR+b6tMSXYp9hnsrVk/a/0LSfSu/cN9w/tiV7PmK3nUrbweYjqdS/RPcFFigAKFGqgJN26D8Z3MFRMEDJwlqTJk3k5Zdfluuuu04DnYHPOUgQYuy/8sorpX///oVtqlSd5wDQUvV1R3ex5557rrzwwguyfv16ee211+Saa64pcCJg5fPPP68n00yoBw8e7C9ja3OGYpEC7qDjaU9ImHgWBtyBdWqM+tyEz3jDvTsPOA84DzgPOA84DzgPOA84DzgPOA9E9gDPcPZzVeQzXAnngdLpgSOPPFInbkYP9LvvvsvHzPz000914iJC1pH/K4q1atVKRowYodsg6hZr06aNJsUQaUuWeFifDv+I3ssOAI3eV8VWcurUqUKW9cWLF2tQsmnTploL84gjjoiqT7NnzxZeZHj/448/dFZJBHVD2RlnnKEzupPB/aOPPtLn3n///cLnUaNGycKFCzXDYvXq1bqKZs2aaSbnggUL9CoHP0r+gQKSwga966675Oyzz5b9999fAES/+eYbGTNmjKZz233YvHlzWIo4PiCpElqg1H3AAQfIQQcdlO8Hf+ONN8pFF12kWadOBNj2rtt2HnAecB5wHnAecB5wHnAecB5wHnAe2OcBgBMY4jy7wRxONmN+X0/clvNA+ngABjmZ3SGEEe5uQtMhdBkpQDCVeBisbELpjV166aVm070XwgMOAC2E05J1CszKxx9/XH744Yd8Tc6dO1d/hp2JBkUoI5znmWeeka+++ipUEb2fREQ333yzPxSEHzSaEuhZ0AfaO/XU4CGzgLFkZacvGD/OWrVqycUXXyxkdccAOwFCCZU3VG19IODPlClTglK3+adM/xATtg1AlIxnAMEGcCUs/4477hAo41yXM+cB5wHnAecB5wHnAecB5wHnAecB5wHngYIeAPQ0EjOENROlV9rlAQp6ye1xHijoAfAR8A6IZsj6QQIDt0FWAtwDlqiz1POAA0BT7zvRPYINCZMRWjXWvn176d69u5BRHSbouHHjBBYn2hPBjH9el1xyiR9w7NKliwYq0VfkR0m2MFP3t99+q4V8zcoF9UGxJvMYFG5WAoNpa3L8+uuvl/fee69AF8477zyd7f3pp5/Wx+iPAT8JrTjkkEN0iMWvv/7q1zN76aWXggKgP/74o58t2rBhQ+nVq5fUr19fs0mhnAOuon+G9pcxWKLR/ANHKwyWayRjYENfAz/w3WCcG6gLE1hPMF1TAN1I5wXWU1I/B/OP843v2+Y+CTTu6XibWekP9huPd1vxrC+wv3x2947Pw8Hunf/P3nnASU20f/y5OzpI710EEVGKVFFUBAW7YFfs8ve1YEPlVRRFUcBe8BU7il0Re0EERUVRARERBKT33vvd/fObc3LZvexudjd7m2R/D59js5PJZOab2cnkyTPPgzfS4cyiXQ/4MtJ9I1o+J/vwO4/Ht55d/THe4kVXpovdNeQ9pbBX2PUdjAtu9eXCM/lvy+5+y75TeB0j9Z3CHNG30MesPuCi5469F2Om3TWLdGT42MB7YiEpu7kT7il217zwqMzZwhipDUnQ57CdiEuyIBKz6yOcjxRc6fAxB6nx3lP8rmiHXqVnz57yySefKCvQu+66S32CRZ8+fcwXC/ieiEyfPj3uwxAvokWLFnEfl0kHUAHq4tVetGiRPPzww45KDHdEH34Q3iZoBeV1110ncLRrncBfcsklytLx999/F5hFjxkzRurVq2cWM2nSJFPhCMe8F110kbkPG+eff77gWFh5YgAbO3asabqtM1rfBiKtR48eytoS/iagzIS/iUgDF26ep59+umgFKI6vU6eOPPjgg0q5iu+QTZs2CSKcrV69WgV8mTVrllL2wjk5FJ8YUB566CGVt2vXroKBxRrsAVwGDhyolvarTMZ/sHrFDz9S3XQ+fMJn6P33329NiriNNzmYkGoFKCYMVh+mEQ8M24GJmN1kLCxbxn5NhGmmwEL/i0eRlClcdDvZdzSJop/x9h3cV6z3nKIlOk/BA1Wy14bK7ci88cCRLN/Ipft/z+7du/3fiBS1gPOR6GDj+V25rQDFmJfMXNGNcTc6HX/vhRKLUkjAqmxn3ynkYrfF+YgdlYK0eOcj1mf6yKV6ew+WuUNfARd/MCabOXOm0s1EWj0bT2usMVacHgefo1ghS4lMgArQyGzi3gOLTEQCS1awjFv7jujWrZtSVoaXiTcO9913n1KMYoL2zDPPKOWizgdnuRAsR9fR2fU+/dmmTRs57LDDBEpH+AaNJrDYhC9PLdoJr/7u5BNBj8KPq1KligqyNGjQIFUEBg1Yu2rRy9ihEL3jjjtClJ/IA6Uv0qHk1YI0OvDWNPjpZwIYC2DlDGnbtq2y4vZze1h3EiABEkg1AaxqWbx4sToNXpJivkQhARIgARKwJwCF3ujRo9XOmjVrRnR7Zn80U0kgswlg2TvijsA1H1z2QbBKFjqO4hS8hMMKWfyGKdEJUAEanU9ce2ExWb58eUfH4O3a9u3bbfPC8lG/iYNz3UiCHxasMCdMmCBTp05Vx+glgk8//bSsWbNGWYvpNLtyYNUIBWisN6FYdp6MIEIZlK12YlWKWplA+bNy5Up1yJlnnhkS7MhaTsuWLdWSegSLopBAkAjAQhpuIiB4mQF/uxQSIAESIIHIBBCoES9TIWeccUbkjNxDAiRAAiSgli3ruSYC27phuUasJJBJBLCyFgrQjRs3qma7FfwIwZ8jCaxtYXyHVblwR4iYLTgvAk9TohOgAjQ6n7j2tmvXTgUtcnIQlstjGbudIFq7Figm8YOKJNp0HPmwZL527doqK5SxeAsQLvCTifJxfiyBR+AhLVC6RlKWWpfX6/zxfOp62R2j24B91uU+c+bMMbPDnDuaIBgUFaDRCHEfCZAACZAACZAACZAACZAACZAACZCAWwSwYheGKlBIHnrooQLjLDekevXqUYuBIRsMzE488US1Ivbxxx8XHIPvlMgEqACNzCZte6wK0JtvvtlxPRD4J1zRuHTpUvn0009V4CQoPdevXx+zPChJ4UMU+bXAogIWpXYyf/58MxmRz2AtGl4PDAqRJJLSVb9FwXHwHxpNYu2PdCwsdt94441Iu810BEqCVa3V4TOcDGNpfjSBUtkanAl54VuPzsULqMF9A95gWSUWU2veIG+Hc0FbEWDBzSALfuaH35W2lEc7sPTDqQW+n9vtpO54kRTu9xBjDsYep+KW/0+cDy/k4vldYzleuK9bvCiLdK9w2qYg5MM9aMeOHSFNgb9run0pQBLe75GKccHN/hwC30dfOB+JfrG8Nh/BHNM654xee1HjgjU/xkurgUGs44O8H0Yi4SvdwFfHOghy2520Lfw5BVzAhyIquCbnI/Y9wY35SFDmdZiHwe8mxpl0zMcwx7n++utVBHoEsKYC1L7P6lQqQDUJD31i2SsEg0I8D/TWwEpQnowYMULsTKdxU8Oy806dOsm0adOKRJLH+YcPHx5C5Nlnnw35HukLfJFCGRmuAHUSkCi8TKtyI3xf+PdEykcZOA7+TWMJ3BKEP1jh2FjntVNi4brGOi5WfYKy3+6hlGwiX11MSsmngA/7TuR+Yn0I1rnS2XdwreLpt+EPG2gD6o+/TBe7a8t7SmGvsHuYQt+zGy8Kj8qMLc5Hol9n9J1wRvGMW9FLj39vsuNdvONu/DX0zxHh1xU1T+c90evk2HcKrxDnI4Uswrc4HwklUrFixdCEYv5Wv3599dJr9uzZ6l6W7D2kmKtfrKejArRYcTs7GRSIq1atEvyQEFUsEYEJtFZ+VqtWTXr16qUio2MpOZaz64eBf/75xyzebiAzd6ZhAz9kLVjeH82cHFHkKSQQJAK4ccGtxv3336+aBZ+/8VjwBYkF20ICJEACTgjA0vnSSy81rWThf5xCAiRAAiRAAiRAAkEmAAM2bc0NozgGgIx8takAjcwmbXsaNGgg06dPl82bNytfEtGWj9tVcsuWLWYUeZQ1cuRIqVq1ql1WdQ69AxaXkd4WvPjiixGtUd955x358MMPVTGwAG3WrJkuMqlPqwLU6hbArlA4AKaQQJAI4CUFbl68gQXpqrItJEACqSSAOQyVnqkkzLJJgARIgARIgAS8RuC9995TVYLhG58do18dKkCj80nL3kaNGpnnnThxopx33nnm9/CNIUOGyJ9//qmWnN9zzz3K8a2Ofoq88AERSfkJP2tz5841i4y25BwBlQ444AAzr3XDavIN61W3/MYgEiEc+cJv6UcffSQXXHCBrQUcrEO/++47a5W4TQK+J4AlW4sXL5apU6eqtiDQV5s2beJaSux7CGwACZAACcRBAP63fvjhB9GrQk444QQ1j9CrXuIoillJgARIgARIgARIIG0Evvrqq6jnhosGxGhBBPjJkyervFg9SIlOgArQ6HzSsvfkk0+W119/XRAE6OWXXxZEFqtZs2aRuiA6/IQJE1Q6lJw6UpjVB5Y1QJG1AATJGDx4sMDpuxb8iLwUnAfBXrCU7dFHH1UR7l966SW5+uqrzeX7qDeUuFjub+ejRbfLK5/lRlxuVmWvuZXZG6WM5uPPKmRTSGPVdpEPVhX4PTyjSp4cMWCQyCHtJH/tctn3v9uNH0Dh77fwqMzYKm3TTPadQijl/t3cOfCVwkQfbulxE6HSQsOl+bAxLlVZX1trcez7hTR+Xpkt03dkqYRuG2aJXDsUDv9k/7hnJe+X8YUZM3CLfSfyRUeIOB0mzu/jZuRWcg8JkAAJkIBfCNx1111xVRXWnwMGDIjrmEzMTAWoB686Ah9dc8018sADDyhfDldddZXceuut0qVLF2X9BcsGWDhAOQqBZcPllxcq1w455BAVQAkWnQjeAytSHIuoZEiDUvTVV1+VKVOmhLR+69atcUXqDTk4xherr9FoWeG4F3U7//zzlTL21FNPlbFjxypLOERr//HHH5VFqw4UhU+4CqCQQNAJtOzVW7Kh/Ny/T/a9MSKjlZ9Bv9ZsHwmQQPIEsGqlxiW3Spah/Myd8V3GKz+TJ8oSSIAESIAESIAEvEIAOiAE60OciO7du6tVw5FW/nqlzl6oBxWgXrgKNnXo2bOnUvq99dZbAiXfoEGDVAeHlade2qUPg6a/c+fO+quyBL3iiisEfjsR2AhL42FNCd+ci40ltTt27FB5W7duLUceeaSMGjVKfYeSEkvdUyFYpr9o0SLBsvZognxYwgbLTwh+1PAresMNNwjqh/rjL1zgJ3XdunUq2UtWrOH15HcSSIRA7dq1pfXp56tD8yaPEzEsQCkkQAIkQAKRCfTt21dKVKom+Tu3Se5nBS+MI+fmHhIgARIgARIgARLwDoFff/3VO5UJUE2oAPXoxYRG/z//+Y907dpVLfFesGCBYNm6VfkJHw+w/IQiM1wuvvhiFUUeVqKwkIRSEdaVEChTLrvsMsFSe0QLe+GFFwT+Br/++mt1vvCy3Po+fvx4tYQ9VnknnXRSSJbPPvtMKT+RiAAHUHBCsQulJ75DsaqVn8gDC1qngiX0zz33XMzsGIBgVg5O2uJ09+7dIS4E7AqJ5lfVLj/TSMBKoJKx+r1VuXy5oN8VklOypOSvXyW5k963ZuE2CTgigHsAxi+nghUDbvlNxDiIsdap4F5HIYFECRxYOl9qNWkmxx9/vCoi94vXRHZsTbQ4HpfBBKxuomJhwHiJcdMtiXfMxrzYKhh346m/9digbdvd+3BP8oP7rOK4FniWatmypToVnhHZdwqp281H8PxndTdXmDuztsLHHLQevOIZd2CgRSGB4iaQZXTe0DtmcdeA53NEABOhpUuXyqpVq5QiDpaaTiJ84ea+cuVKQZR0KAabNGkSMZiRrgjyYgk6pEWLFnLJJZfoXTE/EXXeGsQJ3evss89WPjxr1aoliFBm91CNSPWIJg+LT0SUr1SpkjoXHPteeOGFSoEL69ERI0YIAi1ZBYrVoUOHKqUobkjxBETasmWLdOzY0Vpc1G3whMIVAv+r8Tga1r7sop6AO0kgjEDWwW2l5OWDVeq+McMk/69fwnLwKwlEJpCoLzsEt3Nrgo8J8fbthkPbBITjZgLQeIiUuGaEZDc8WPJWLpL9T99CIiS7Xt/VAABAAElEQVQQF4FExk3MbfXcNa6TRciMMdNO+RIhO5NJgARIwHcEypUrp/QUvqs4K5xSAo0bN05p+bQATSle9wrHG5KmTZuqv3hKLWlYjUEhaVVKxnP8nDlz5I477nB8CJSl/fr1M/NjQgiLTvj1hDITEeoRydoq2voUafBVap1AYuk7lL94EEfQpnDlJ45BkCgEQsJkEW8t582bJ4iYTSGBIBDI6VxgEZ23egmVn0G4oGwDCZBASglk1W2ilJ84Se7Ed1N6LhZOAiRAAiRAAiRAAqkkAIMyGHz99NNPsmzZMmXYBj/n0Hc0b95cGay1b9/e1sgslfXya9lUgPr1yvmo3lhqDwUoBD/ecAUolpcj4j3EuvwdilFYr0KgAI3kn/S1114LsS76+eefqQBV1Pif7wlUrCpZzY9Qzcib+J7vm8MGkAAJkECqCWR3OEGdIn/NMsmf/XOqT8fySYAESIAESIAESCCEAGK4QJdRoUKFpNyjwLBr2LBhgjgpVtmwYYOKiwLdCqRt27YyZMgQW2Mx63HcNmLMEAIJRCMAZeX1118fLUvIPvjJDBcoLlHO77//LpMmTZKbbrpJBWXS+b766iu1iSX91mBOsBjVgmVAOtgT3nTAZB4+RqDs/OCDD3Q29bl8+fKQ7/xCAn4lkN2uu2Rl50j+xtWS9+cUvzaD9SYBEiCB4iFQsrRktzlGnSsXAeMoJEACJEACJEACJFDMBJ599lkZN26cUkwi3oidC8BYVYKrvhtvvFHWr1+vsrZq1UoFlK5Zs6ZykQJdyV9//aUUoTNmzJCbb75ZXnnlFSlbtmysojN6PxWgGX35YzcefkOhcExWYAUKBSiWqcN8G7404YAcf5MnT1bFn3jiicoHqD4XTLytgjcf4W8/rPv1dvhxOt3uE+bjX375pd2ukLTRo0erty9Wl7lQwuL4aIIl+Tt27IiWhftIwJ6A4T4ip0MPtS9vhvEbobtme05MdUQAwTngEsWpJDJRi1Q2AizEGiutx+K+ANcnFBKIl0B2q6Mkq0w5yd+7x3hp9FO8hzM/CYQQiGfcCjnQhS+YY1rnnLGKxPzamh/jLsqgiLqf4L5iFbABI4rItm3bQjAgHgMVKAVI7OYjeDZ2y0d6CHiffcF4g3HHKphnxhMMLsgcLzMCTn/88ccCxeT7778v55xzjhWVo+2HH35YKT8bNmyorDsPO+ywIsfhOnzzzTdy3333qaDRb731llxxxRVF8jGhkAAVoIUsuJVCAscdd5zy0wmrTVhsTp8+vcjZrMvfsROm41pwM4YZuXVyp/dhsEW6dhYfPsnR+ew+MfAiuFIsgXVqeLRITJw4eYpFLsp+g71Ilkie88jUIaWVNCIH7guukiSraWvJqlJTNTl3pqEApRQSSLbvZBl9r5zx8mLPTiNk5b7CcgO8hbEuXeMVlKnxnNtN5WuALymbZkNAL3/Pm/OrofXYbZODSY4IBPz+6oiBkSmecctpmU7zuaEYSGf9nbazOPLZsUznPbE42pzsOdh3CgjazUfYdwrY2D2TxzvfS7afevl4rIBFIGgEeUaw565du0rt2rUdVxl6D6ychQ4EilAEsrYTMO/Ro4fSUyBeCpSuVIDakSpMowK0kAW3UkgAbxIRrOjzzz9XlqDhpzrooIOKBHiyBjzq37+/Ov70009Xh+KHfuWVVwoiy0MB+uijj6ro8dgJk3OKRwmUKCnZXc+QnDbHilQzbgKG8jN/2XzJXzxHcn/4WGRX6JvE8FZkd+op2Yd2kqx6B0lW+YqSv22Tcexfsv+r10U2rA7P7uvv2e2OV/VHFGNZt8LXbXGl8kn2HWsdso8/R0r0OF/2j31G8n6bYN3FbRJIK4GcXhdLVoPoQfzyN6yS3A/+p+qZVbux5JzRL64673/l/mAqB6vXlexGhygWeTO/j4tJEDLH23fC25xJ99fwtvN7sAkgkCz+oFCAsUQ8hhLBJsPWxSIAa0Y8w2JFH/7Yd2IR434rAegvfvvtN2WZeffdd8vTTz/t2EJ26dKlynodVp+RlJ/Wc2El7QMPPKACJO3evdvxeaxlZMo2FaCZcqU90M5TTjlFKUBxA4FAiTlhQoHywS5KfYMGDcxaz58/XylAdQJ8X9SvX19/5acfCJStICWvGS5ZNeqp2ubvMlwD7Nsj2U0Mc37jL7tlZ9n38hCRrRuKtqZUGck56zrJaXV0wbG5+5XyM+uAKpJ1+FFSskVHwUN9/sJZRY/1aYriYtQ9f8lcn7bAxWon03fCqpF18BGS0+3ssFR+JQFvEMg2xjht+R2pRnllyhfuKlNWshsfWvjdyZayoHaS0V959JiJWucvzbxxM+6+oy9vBt5fddP5mTkEYK0GSyr86ZVjmdN6tjQZAnhuhZWd7j92lo/JlM9j/UFg7NixCVX0iCOOUApQuAKEQnTEiBFStWrVmGWtXbtW5YGxlxOB1Xb16tWVAhRuLeJxReCk/CDloQI0SFfT422B414ESULUMoj1bcbixYtVmvU/DA7wv4QfMfyGXnzxxdbdIdtbt241v7/77rtR85oZi3lj58BX1BlLly5N3zoGiayy5WV7br7kGdcOvphK1GogJQY+78ivTlaOMXQZyk8tWYZ1YMl+9+mvgfrc0/pY2dviSNUmvIVG/8l0Qd/Ztj9P8hPoO1Z2JQyluuAvYAJ3HUHxPazHTdwLuCQProDzZXflWrL33/sJHsrKGv5SYd3kVErd84bTrL7Mh4fVndc/ada9UqVKCQUfMAsIyAa4WPsOmmU3H8mk+6v10mLMDHd1ZN3Pbf8SgE9puODC0mU13zSUoFRi+fd6FmfNYUmnrT6hUMKYifsuJfMIDB8+POlGQwl67rnnCvx01qhRI2p58PsJgREYxqtY/W7RokVK+YkXPHZBqaOeLMN2UgGaYRc83c3FxAMKUPyIrQGNFi5cqKKYHXpoqCVL37591ZJ2HPPGG/YPbZjUW8tq3Lhxuptpe/5yIy4304PrudJsYsgGlqyXvP4RlbZv9FDJ/3ua2taP7HmVa0j+rc9KtvH2at/zd0n+otmFx1etLSUHjFTR0Pd/+rLk/fhJ4T5jK6vOgVLyhsdU2v73n5a8aRND9vvxS5ZhDVuy70BV9ZJjHpASxjJ/LbH6ziXH9dBZA/F5YMUaMuzIc1VbRkz7VGasXxLSrhplDpAnuvaVHOPBZsgv42TOppUh+/GlcqlycmXLY6VDzVD/Oc/9OVEmrZhTJH+QEkZ1usjXzdHjJjwFJ+gt2DftzzIs4Uv2MyzZjWWa++690PBPa/9rx8QtfPJmn7Og6SUuvUuyD2kn+WuXy77/3W74vt3lGybxVLTEjU9Idu1GIsb9o9yLg9WhQRsPI/E4tGo9GdzhTMk15kOXffO87HPoW7tW2YryeNeLJNvwi/za3B/k8yUzQ07R+IDqMrzLeSrt2T+/ke9WZIZlrZ/HTT1m4qJFGxdCLrQHv5S45E7JbtFB8pbOk/2j7jDe/hSsHtNVzelzrREo8gTJW/in7H/hbp2sXCSFzzehrtLhoPR8M8tuvmmW4r+NTBnrErkypzVuKxc17yL7jXGxRHaObN27S/5v0stFimpVrYHc2b7A1drQXz+SPzcuL5LnkuZHy8mNW6uyLv/mBcdjbZGCApbg5zHT6aWoUKGC06xR88EVB164xVKAwl8orD+xFP7111+Paty1efNmGTVqlDpvixYtHBkTRa1kwHeGz6ED3lw2L14CS5Yskeeffz6uw2C5Cae/4bJu3TpZvrzgZoI3GVOmTAnJ8uGHH0q4AhRvST777DP144dTX6vAjw+CKeE4bSaO/R06dLBm47YHCGQ1bVXwtn3rRlP5GVKtzetE1huKK8MKNLtZG8m1KEBzjjlTKT/z5k4rovxEGfmrFknujG8lq6KxnKBkMKwjsypXN/Hkr1lqbmfixuHV6qu+s2nPjiLKT/BYt3ubrNq5WepXqCqtqjcoogBtX+NAuebw7lLe6BsYdz5eNEN6NjxMypTQ6vdMpMo2e5EAXuZA8tcZ98kIys946519bJ8C5acR7GvfGyMCq/wEFz1uZuKYCUUlZMWOTXE9kJ92YFul/JyxbnER5SfKW7xtvXy/8m+pUrq8lM7mIwOYUIqBgHF/zmrYXJ1I+ekOU35iR/78340J/wmSBb+/mPsZLpUgycw3VQH8L1AEGhlj43nNOslOo398vWy2nNHkiIjtw4skyPLtG22Vn9j3rfHSHApQKFIbVKgmC7cWLFPGPkqwCSAgUXEKjMWwZP6uu+6Sp556SqZNm6bcByJotHVF1MSJE+X++++X7du3q+r16xefX/jibJNXzsXZjFeuhEfrAYXlmDFj4qodAhrZKUC//PLLAiWYpTREV0ewozlz5sg333yjfuhY6qgF/laGDBki9957r0AZqwWR5KH43Llzp04yP2OZiJsZuVFsBPK+Gyd5P31hLFuvHPmcRlAjSP6OLYV5DKs+HQwod+qXhelhW7nvFi53DNvly69ZBxjKXEP2btko185GH8+WnpXz5Yyq+So9k/6DwvKrpX9K5dLafqNo6yuWKqsS8VY/XI6o2VgpP9fv2iajDItPvNE/oUHL8Gz8TgJpJ5BV918F6PIF7tTFCDSXYwT7guRNHidiWIAGVqAw+dc36nfzl8qbC7NVU/OP2GW8HCsYHwLbdqNhWgG6cIvzh/Fs4+Hq2HotFJavl/0ZEc8zswp8tUfMwB0k4DYB4wXQvqGXilStJbLdMie0nuffOaOyaDde8GhJeL6pC8jAz/y9+yX3vamq5VnVDXczPVsFgkJJQ0nZv9UJSlmJ+V/ZGC++/9myxnhJPl027TZiFESQXbmFdtXlS/JFegRMTHaJQM+ePZX/0FdeeUV+/PFH+fXXXwUxVayyevVqpfzUCtPOnTtbd3PbhgAVoDZQmJQaArDkhFSsWFG0z04EQsKSdShA4aPniy++UL4xrDVo2rSpvPTSS/LMM8/IuHHGQ5wh8MmiBQrTevXqydy5c3WS40/4BHLi0+OPP/4QBF6C2br2YYo62ClgrSenjyELjb3GNYsQqV0Fb6hQSWXOm/tb4UEIcmT49wTHkGXxSDeWOmJJp2xZX5g/IFu5X74m+PvFeJm3OTdHtWp3XuYpP/Xl3JO7T9bstH8IOrJ2U9EK0OnrCl+S6GPX7doqz8+epJZu5tpYkeh8Qf+EDytYzTsV+Jt162USxk3tQ8vJ+eOpp5Py/JLHtABd8Y/ycZzdvJ1k1TQsoHdsVZbu+QsN1yBxWIaWOO2qgvFzvRE1ftL7fsGQWD0NLnvv6K2O/XlltjFuZqntnAwZNxtVLLAAhTVSFeNlUZvqjaRe+Sqybd9uZcX518YVRSxDYdUJBQHur3M2Gisw/hUcD8smWJNu2F1gUaL3ZdpnrDmelQfGS4ybbgnGTIydTiWQ882Na+ybb1h8Zrfvofbl/T3deHMeujxeEplv2p8pc1J3Fij28ncVKpP93viLDu6iVgf9vHqB/LBqnvHy+7CoTfp17SLBXzRpUaWuuXvhVmP1GiWEAOZv8Yyb8fgvDzlRBn259tprpW3btoIgTFB2hs/NmzdvLmeeeaacfvrpcvjhh2cQmcSbSgVo4uwCeySUid9//72r7YPT3xUrVqgyEQ3t22+/Vdt4iwH/FjDthgIUVp1Y9h4ucDp9+eWXmwrQ448/Xk4++WSpW7eusiB98sknE1KA4pxvv/12+Olsv8NaFQ7ytQIU2ziekiCB8pUk21gan2U85Gcf3kU9hOWON/y8WpSkWZUKHupkj2EFafity25zjLJoyqpWxzxp/qa1sv+DZyR/wR9mGjeCTQAKTyyNb2s85Hc2FKB48Htn/lRbJem4hQX+ZoNNJHbr8CAdz8M0nP2HT7Jin8U+B64Px0p7NmaqEdgtq2YD9TX70I6Sc/JlkhVmXZJvuAnZ/95TRoTzv83DIm1kHWwsbTbGVsj+L0Yb/wXnoVY1iv+ZBEoY/jvrly9YNdDe8HPct/lRUgqBAi2yasdm+Z9hyTnfsHDSUtVQgEJ2GcrjXcZLpqPqHCznNO0otcsVvIzEPrxAeu7PSRGXgyJPkCWeccttBSjmmJn6Msi2TxkrgrLqNjHnjNm1Gkr+mmWSO+Et2+whiQ7mmyH5+cX3BODPs1ejVrLRsOZ84a9vXWkPxtqzDipws7Zg8xrZ8a/bBVcKD0ghiMsRz7iJlZ6U2ASOPPJIwZ/dPL5du3aCP4pzAux1zlkxZxIEtPUnitA+KvDGAtadkK5du6ol8MuWLVM+LmL9kOEYuFOnTupY/udDAoa1Z6lBo0Mqvv+j5yXv5y9C0gR+PSE7t0t2l1Mk59QrjbWceZK3eomhnDGWONaoK1lVakqJK+6V3E9eNJbZf16Qn/8HlkAlQ/n5XLcrQtr38l/fyfgoSzhDMvMLCXiQQJbxMI+gHBD4Qc43/CLn/jNLxPCbDGv3rOZHSFb1ulLi6gdk/4v3hFrE27Qnp/NJKhVjZf5fv9jkYFJQCMD/MYLAQeAHGe4+ZhsWnxv3bJeGFapL2xoNpU75yjKkUx+53wjsoQPFVS1TQR2z3XiI79WwlVx6yNGSZ7ysWLptg+EXNEvqGsfUMIIkDTKCgoye+73hisTojxQSSBOBnNP6SU7nXubZ8UJo33NGcKRdkZcrq8xO55tmydzwO4EDSpZRvt/RjlFG8Da3FJX/Oex4qWW8IEIwpef/muR3TKy/jwhAsYxYKFgGj6BI0JcgsDQixTdo0ED69OkjrVu39lGL0ltVKkDTyz8jzo5IZ9pxcLNmzVTgIjT8jDPOMNsPa074AIV89NFHfJNhkgnmRlblmgLLzfztmyWrRj3luy3ntCsNp/cHS+4Hz5rLPLMqVisAYFiCYjln3rwZygJKjOOUGNHjS5x/i2QbTvBzTrpU1FKojauDCY2tUgSqlz1AWSVtMSyC8YBezlgKd1mLrtKscm211N1p9GPiJAEvEdDL31Gn3B8+kdzPQiPUZjVoJiUuvlOyDD/KJfpcJ/uevMkcJ4u0w3hxBIUpJG/ie0V2MyFYBBpXrGE26PPFM+W1v38wv2OjaaVacmvbk5Uf5atbdpPbprytlsNrC9BqhiIUY+jM9UsNK9FvZMte+J023i+WOUD6tz5RDjbGViwl/d1wMbLGsAilkEA6CGQZPj/zDPcgWaXLGr5Ba6sXQiVvfEL2jzVWACEgUgRxOt+McDiTfUignzHOwcXHeOOlzR8blrnSArwgOrpuQWCusf/8pl4UuVIwCyGBGAT+/vtvGTp0aJGVrlu2bJFZs2apv88//1x69eolAwYMEKxYpUQnQAVodD7c6wKBJ554wvT/hmXweItRrVo1gWNfLe3bt5caNWoIIsVPnjxZLTNHHkowCeQvny/7Hrq6oHGGpUn2kScrBWZO2+PU5Hb/mOEF+/61iIJllFr+OWZY6FJOw0pq/2sPSslbn5WssuUlp/t5hiP3YAVECmYPSLxV/xhBPvpPHqMKgJe/noblUt/mXaSrMTEtY/iLfXRGmBVx4qfikSRQbATyZnwrexfPlixjqabdEvf8ZfMl99OXpMQFA4wH/zqCZfJ5f4QqunRls9t1lyz4djReBuX9OUUn8zOgBBClHVadFQ2rJ+sSd93cBcay91cNC84bW/eU2sZLo/Y1D5SfDJ942moUn1gi/8iMz0P8hK7bvU0env6ZPNG1rwokd1bTDkpBqsvlJwkUJ4H9bz5ceDojwFuJc25UL79LXDpI9o+6UzCvtBPH8027g5nmOwLdjMBuHWs1kZXGmPb638nf/3KM1WZXH9ZNjql7iGIBS/hxC3/zHRdW2F0CcO30008/yezZs5XuYv369eoTSkn4gi5fvrxUqVJFDjnkEOWXE3qORJb7Y9UslJpr1hS4r2nVqpW0bNlSfvnlFxUc6aijjpK1a9fK/PnzBcGmcX64BXTLhZW71LxTGhWg3rkWga2Jtv5EA+EYGT9KBC7q379/SJt1YCP4t/j000/l0kuNCJApFgRkQkS1WPK///1PBg0aFJINgxuOjyZoCyxgKVEIGDeRvCmfiZQpJyVOuNB4sO8kWfWbFUxmjeWfWmAVZevHbuc2yZs+UXKOOk2y6jXR2fmZAQQQFurLpX9IOSOy57nNOkkHw//dQZVqCpSklFACmJCVLFkyNDHKNzcnTznGC4xYY6W1KrgXxONDynqsb7eNJXXwf5xv8YEc3hYoPPPPvt7wDVpaLYsXOwWocX/N6dBDHZo3Y7IRHAS/EkqQCSC4G4LErRH7QHFoOxSe1xzWXfkGbXhANfUdvvG0fL5kZojyU6cjiNJ3K+fKyY1ay4EWS1O9P+if8Yxbbo6Z4Io5ZjyBjbZt2xZXfl9fO2OcVC+/b35KsipUNnzDnyf7Rw+N3aRo883YRzOHxwlgeTosNXMNQ5tnZn0te/OcB360a1rZnJJyS9uTDJ/zBf65ESH+zXk/2WVl2r8EMM+MJxic2+Nmqi8E5qYI2PzGG2/IokWLYp4ORl0QuO5DLBMsVY9HYEQG5SeMwu69917REd5vvfVWpQCFrgQBkqBrGTJkiFLKvv/++3LOOefEc5qMy0sFaMZd8uJtMAaH8Oi/mNAtXrw4akXg56Jv376CB+dUCgZeJxNcBGGC5apVsg2rCfxFk3gmr9HKyYR9eT9/KWIoQCFZjZorBWi+JcJ7/pqlETGoaPA4zvCRZ5g+FY0IGvFI7ggCga8N/59QgEKwXJMK0KJXFWNdrPGq6FHupODc8Uxy48nrTg39UwoUpPAJKoYFlJ1kNW2t/CJjX+7Mgom3XT6mZR6B1YaSFMpPHeRooyXC+7LthS8bw8ms2L5JJdUpV1mMX7LkG/8yRdI1ZoJvvONmplwTs514+T1riuQYK4iyDDdI8YjdfDOe45nXmwT6NGlvrAQqJVv37pIzm7QrUsmahk9jCF6aDzAUm5AfV86Tn9f8o7at/8E1yH+POFUaGGMmfCOPnjOZvuatgCJsY9xK57gZoVquJMOo6aabbgoxnDrooIPUClboEipVqiQIIAqrTVhibt68WQWAhgIT0duHDRumLEZhUOWEEXQI48ePV3W/7777pGPHjhHb0a1bN2VkBiUp4q5QARoRldpBBWh0PtybJAH4pNACM+0DDzxQf7X9RPT5JUuWKHPun3/+WXAMJQAEjOXpWYbPpnzDb6MYjuttxZjM5u/dI1mlDOumcgeoLPlbNhRmNRzZRxQoPSHbDQsYwxqGEhwC5UuUlprlKspuI1LxKuMB3k5gpbTHiGJc2nhbD+f3FBLwHQG8TDP6uRLt49imEVllCiJ3IziSnWS3O14l5600LBPWrbDLwrSAEUDAogNKGn4RDdH+O+2aiId+iLb83GAESdKC4HKRBOVDoFTIJOVnJB5MLwYCGA8NH+8IcpmPYHARJH/TuoI96L85xiNtrmHxl+B8M8IpmOwjAqX+NZqpaPQHrAiKJCUMFzF6/8It//YhS+Z65asYwd/OkKrG/Xb3/n3y9B/jZdq6xZYc3MxEAlgNilWjMM664oor5KSTTlIBiGKxmDlzplrZ+uGHH6pARljGbo2DEun4lStXyq5du1TA6GjKT3084qkMHz5cFixYoIy2nChZ9bGZ9kkFaKZd8WJs7/79+5U/CpwSS97vv//+mEswEckMb0gg48aN87QC9Nxzz41p5o+3N9pyNHvDKtWujPyvcnVDsVnGUIDuNp7Q1tsjMG4oWR+2UfvytxqKz92GshQPXi9NKvBnZyhIlYLT7ug3f5WsO56Q/N1G8IYIigG7w7yetsvQ5W7KLXj4nJKdLw84MIhe+XqwludUL1tBKTYxCd1gsViyXrsco5+0KT9SJcGqaZeRN5q0Lf+UEeU4Wzbt2SE79+2NltX3+zqWLfCJi4lQPJaVI0eOlO7du7vS/ueee06wjMepYMzU1vMZM27iYd94+YOXQGL4NrYVKAXGHa2uY/42wypvV+ESZjP/WMOPqDGW5u8ylFvbNpvJmbSxwdCB7MkvGDflp8limFoEuvl6jMRLoPW47jYCJebR5Z5WfWezMe7tMMY93F6/KveAwMfd9r27DeWpcc+1kR+NoDOPGC+WdhkvobTy1CZboJL0uBnPKqQKFSqEWAYlCwQP17FWS1nPAeskSCDGTLj5qFJDtQcBMyXSffqtaYb/9+GSj3v+xjUqvyQ63yw42rf/JzX3M55VZOu/v/8cY7z8tNB4xU9AJpYYLiWM8SySlDKU5GWNF0Gw6Nz273iHZfJ7//3t4LgSxv2iuhEA7vPs+9VSesw7GVwzEtHCdD1mxmsBitWeF110UWFBHt3CvPS9995TtXvggQfimh8jOjv+YAT2+OOPyyuvvOJIAbp8+XJ1PkR6dyJgj6X2uG9s2rRJLZt3clwm5qECNBOvejG1ecqUKcr8G6c7/vjjYyo/kQ8m3HhQxhsPOPjF24+6dY1lzR4UWKpSHBLYaP9QVuTodTYWfhsMxWcscVp+rHI8vB8UHKnQA8Zim+HZzolsltVOsqk8Tst0XKCHMybaVviTc0vgHH7u3LluFRfMcpz+btfHiMK9cX4w+STaKhf7caJVSPVxTn/jW2zGyK0Oxlf3RoJUk3CvfKdMrWd04k7Jmj/W9j///KMCW8TKF8z9xpxxjWUFUKRG2o2bdml2x9vNN+3y+SXNabudtGezzVzcyXFpzuPWWLXJ2Ww7za311ukTGTPRAiwN94MsXbrUtMZM1DjgvPPOk1GjRqll8YiJUq5cuahN19HcEekdRgGxjBjgnxRKU/iPZiDpqGiFCtDofLg3CQLwQaHFGvFdp9l9wnEyBhYEQcKPHb5A//Of/9hlLdY0LMUfOnSoUug+8sgjjs8NqytEgbMKBj0oeCkFlsGlShUsywMPXPONG+2XdmYaL0QLhD8ZqyCglg4WZk3PxG2wsUZUxNtZvPGkiHrZFP4wDoWmXwILYVIY7kQf11Zb02fyNcYEuGrVqiEIMCYw2F4BEkz84YPLKrinaItia3qmbdvNRzAXwZyEUnQ+AiYbNjhQwnkEHuaa1iWP+/btk61bY7ww8UjdU10NjAkYG6wCH31YqUYRdU+xKlcwV3DzJaifGWMuEq6o4nyk8IqGK9oSmY80bty4sEAPb91xxx1y8MEHSzL1hS9PzElg1YlVA9EEBmB33nmnmr9gDKtTp46Z/ZJLLpEuXboov6D16tVT6b/99pvcdtttall+MnU0TxLgDSpAA3xx09k0WPxMnTpVVQE/4MMPP9xxdU499VSlAMUBUKJeeeWVjqxHHZ8ggYzwvYG/ZcuWSTwKUCyfCr854PRUgBZcBLhGsN4AoOCgArSADZR74X0HS9yoAC3gAwWfVUmGhz0qQAvY4KVCeN/BA41fFKC4ruH1x4M8FaAFgVHC2cDRPhWgBX0fSg5tNVGQYrgRMZTnVIAaLhJt5iNQ8FEBWtBTMBfBnEQL+oyfFKDo94jArAXzTCpAC2hAeRA+bmLMpAK0gA9eqlmV5wjiQgVoARsoP8P7DucjBWygNA9ngxcLQZyPQKF4yy23FDQ8if8vu+wyx0djLn/zzTfb5j/99NOLpLdv317wR4lNgArQ2IyYIwECX331lWh/RCeeeGJcJbRs2VIw0MCHBR7svv32WznhhBPiKiNVmTEYtWlT4KfSyTnwwB6usKpVq5Yjp8lOyvd7nj179pj9BG3BBCwevn5vf7T64/cDPlbBWz78NiiGi1jD6s2qEIv3txlkhnioC1d2NmrUKMRiNlb7w5VIsfJH2w+fRPH8rlH38AfTFi1ahDygRTtfkPdBKRP+Aq169eqedRVT3NfCru/gBazVuqm46+SV83E+Ev1KhM9H0GfiGbesL3Ojn8nZ3kMPPbSI1WK0IzEuWBX9eBkQT/2jle33fXhBij+rNGvWTL0UsKZl6nb4SxCssKlZs2am4ghpt909hfORAkR28xEo062WiiEwbb7Ur1/fJpVJJJBaAlSAppZvxpaeyPJ3K6xTTjlFnnnmGZWEqGleUYBCeTljxgxrVaNuL1q0SHr16hWS5+qrr5YbbrghJC1Tv1x77bXyzTffmM2HEisevuaBAdyYPn26XHDBBSEtGzhwoFx88cUhaZn6BWzASAsm65MnGwFPKDJx4kS55pprQkgguBys69MhsOLHn1N57LHHBIGTrAK3KAiSl+kCq5zwN/xnnXWWYFkVRWTw4MHyzjvvhKD44YcfQlYahOzMoC9YwdKjR4+QFuN36YZVS0ihPv3Sv39/GT9+vFl7WMymcz6CuW88cswxx8iaNYU+s9u2bStvvvlmPEUENu+YMWOUGytrA0ePHi1HHHGENSljt/GSyPrS9LjjjhNEvKaIPPXUU+bzqOaB3yYC2mS6QHGOccYqvXv3FgQJopCAlwlQAerlq+PjuiU76Tr//PMFf1aBf6Pvv//emmRuDxgwQPBHIQESIAESIAESIAESIAESIAESIAESIAESIAErgWzrF26TAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQJAIUAEapKvJtpAACZAACZAACZAACZAACZAACZAACZAACZAACYQQoAI0BAe/kAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJBIkAFaBBuppsCwmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQAgBKkBDcPALCZAACZAACZAACZAACZAACZAACZAACZAACZBAkAhQARqkq8m2kAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJhBCgAjQEB7+QAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAkEiUCJIDWGbSEBrxGoVq2a3HHHHSHVatOmTcj3TP5y9tlnS8eOHU0EJUpwSNIw6tevX6TvdOjQQe/O+M+LL75YevbsaXIoX768uZ3pG82aNSvSdw499FDfYDnuuOOkatWqIfWtUqVKyPdM/VK6dOki17Z58+aZiqNIu0866SRp0qRJSHqpUqVCvmfqF/yGwucjrVq1ylQcRdp91llnSbt27cz07Gx/2Yj0799fduzYYda/Vq1a5namb2DuFN73MceiFBAYOHCg7N+/38TRsGFDczvTN4455hipWLFiCAY821FEcG8N/10dfPDBREMCnieQlW+I52vJCpIACZAACZAACZAACZAACZAACZAACZAACZAACZBAAgT89XozgQbyEBIgARIgARIgARIgARIgARIgARIgARIgARIggcwlQAVo5l57tpwESIAESIAESIAESIAESIAESIAESIAESIAEAk+ACtDAX2I2kARIgARIgARIgARIgARIgARIgARIgARIgAQylwAVoJl77dlyEiABEiABEiABEiABEiABEiABEiABEiABEgg8ASpAA3+J2UASIAESIAESIAESIAESIAESIAESIAESIAESyFwCVIBm7rVny0mABEiABEiABEiABEiABEiABEiABEiABEgg8ASoAA38JWYDSYAESIAESIAESIAESIAESIAESIAESIAESCBzCVABmrnXni0nARIgARIgARIgARIgARIgARIgARIgARIggcATKBH4FrKBJJBGAuvXr5cFCxbIypUrpW7dutKyZUs54IAD0lij4jv1rl27ZOnSpbJs2TLZsmWL1KtXTxo2bCh16tSRrKysqBXZtm2b7N+/P2oe7EQ5lStXjpnPKxnQJrTNiZQrV05Kly4dMWteXp7MnTtX8d27d68cdthh0rhx45hsIxaYph1ox8aNG+M+e8mSJaVSpUpFjgta35k0aZIaP8444wypUKFCkfbaJSQ77qS7byVbfzsmfklbtWqVLF++XP2VLVtWGjVqpP4wHkQTN8eWaOdJxz432xaUvuXmuOkm33T0j/Bz4hp/9dVX0qRJEznyyCPDd9t+d2PMS2ffcqP+tmB8kMi5pv1FcmsuFKS+tX37dtm9e7c9sCipmGtizmkVt/hay0zndjrmmmhvOsfNdPLmudNLgArQ9PLn2QNKADfZF198UT788EPJzc0NaeXBBx8s9957rzRo0CAkPShf9u3bJ2PHjpVXX31VwCFcWrRoIQMGDJDmzZuH7zK/X3vttbJ48WLze6SNKlWqyMcffxxpt+fSv//+exk8eLCjeoHRmWeeaZt36tSpMnLkyCKMoCA755xz5IorrrA9zouJUI737t077qq1bt1aMQg/MEh956+//lJjBR5Ajj/++JgKUDfGnXT2LTfqH94f/PIdL8qeeeYZ+e2334pUuVSpUtK3b1+56KKLBNt24tbYYld2utPcaFvQ+pab46YbfNPdR6znf/jhh2XKlCnSq1cvRwrQZMe8dPetZOtvZeenbc41o18tN+ZCQetbzz//vIwbNy46OJu9Tz75pBxxxBEhe9zgG1JgGr+kY66Z7nEzjbh5ag8Q4BJ4D1wEViFYBPbs2SO33367UgJC+YkHVlh+akvFefPmyXXXXacsQ4PVclFWmzfccIN6kMfNLScnR1kvQVkFZSVkzpw50q9fP/n8889tmw9+sBwNosyfPz/pZv3www+qf2kFMSyLoUzOzs5WCudXXnlFHn30UYHSLMhiZ0UcpL6zYsUKufPOOx1fRzfGnXT2LTfq79f+/uOPP6qXFlr5CWuTVq1ayYEHHiglSpQQWHi//PLLctVVVwmsnezEjbHFrlwvpCXbtkzuW+HXz27cTJZv+DnS+X3UqFFK+em0DsmOeenuW8nW3yknr+WD1TLnmpGvCvplsvPoTO1bdlTDx003+NqdJx1p6ZhrpnvcTAdnntNbBGgB6q3rwdoEgACseGbNmqVagmWrN910k3qIzc/PF0wo7jWsPzdt2iQ33nijvP/++4JljkERWL3++eefqjlHHXWU3HrrrVK9enWzeRMmTJDHHntMLQN//PHH5fDDDy9iCfvPP/+YSp9TTz1VmjVrZh4fvhFtiXh4Xi98h/IbUq1aNbnkkkuiVgkKkHBZvXq13HPPPYoPFMoPPfSQHHLIISobluMMGTJE8MYelse1atVSVmPhZXjtO5b23nzzzTGrhd/Pa6+9Zi6XP/fcc4scE5S+g98QrvOGDRuKtDFSQrLjTrr7VrL1j8TF6+nr1q2TBx98UNC/4R4F94WePXua1UYfwJg5efJkWbRokbJ6vu2228z9eiPZsUWX48XPZNsWxL7l5riZLF8v9Bk8UD/77LPqxbPT+rgx5qWzb7lRf6esvJaPc83oVyTZuVBQ+1a3bt2Uq6jo9ET+/vtv00gDBixwMWWVZPlay0rndjrmmmhvOsfNdPLmub1DgApQ71wL1iQABODL5JNPPlEtOeaYY5QCUDcLbxC7du0qw4YNU0vAt27dKuPHjxcoSYMgsPh88803VVMOOuggGTp0qFL8WtvWo0cPpfD973//q/zwvP7663LHHXdYs4RYxp533nmOJishBXj4C5a5QqDc7NOnT9w1feutt5Q1GPoSlCJNmzY1y4DyZPjw4UqZ+Pvvv8sHH3wg559/fpFrYB7gkQ0osZ2wePfdd03l5+WXX65+S+FN0HyR7se+A+s+LNGCCwkoxJyKG+NOOvuWG/V3yspr+d555x3BvQACxSYe0KyClyV4sYHldrCeh8uPiy++WGrXrm3NZo6biY4tIYV57Iv+XSfStqD2rVSMm4nw9UJXwf1uxIgRym9uPPVJdsxLd99Ktv7xsPJSXs41Y18NPWYiZyJzoaD2rbZt2wr+ogmMCdB+CO6/eJYJ9/+ZLN9o5y+Ofemca6Z73CwOvjyH9wlwCbz3rxFr6CMCeDjF0hxIJAu/jh07Sps2bVQeKKmCIjNnzjSVNvBVh6WbdgLLUARCguAta7jo5XiwjEXQpKAIrH61RZ+22oynbbBw+fTTT9UhCOxgVX7qcsBc+/+EZRmW1gZB8Jb6f//7n2pKp06dBApQO/Fz35k+fbpceumlyiocyk9Y+LZv396umUXSkh130t23kq1/ESA+SoDyBlK/fv0iyk/dDPyurS8JtMWe3p/s2KLL8eJnsm3L5L7lZNxMlm86+wwe4uHupX///qby88QTT3RUJTfGvHT2LTfq7wiUBzNxrhn7oiQzF8rkvoW5FxSesICFocF9990XsopNk0+Gry4jXZ/pnGuizekcN9PFnOf1HgEqQL13TVgjHxPQS9+hvECwo0jSuXNntWvhwoUS/jAb6Rivp2/evFlZa8ISEdFXo4m2XoLvmXDREwssfYdfy6CIbhfaEy0AVKT2QlkMX4AQKAEjCdwKaLcKX3zxRaRsvklHoIMHHnhABROD1RPcKoT7Y9KN0Yz92HfguxURwCEdOnSQ0aNHKxcRum3RPpMdd9Ldt5KtfzQ2Xt6Hl2XwEV2zZs2o9wu0QY+Z2A4fN3W/x75ExhYc51VJtm2Z2recjpvJ8k1nv5k7d65y94I64J43aNAgufvuux1VyY0xL519y436OwLlwUyca8a+KPp3nchcKJP7FmITIIAaBEFIYRVvJ8nwtSuvONPSOddEO9M5bhYnZ57L2wTsTbS8XWfWjgQ8SQBvDrFEEQLlZyQlDfZb/VriRhpNWYr8fpBTTjlF8OdEdACfxo0bh2RH4B741oFYH+R37typ/IbCr6VfRU+YUH99vdHetWvXCoKeaKVlpPYhSqMWKxudpj9hLQYF9OzZs8V6Tr3fb59YirR8+XJVbVh+WhVB1rYEoe/AdQSsQI877rio44e13W6MO+nsW27U38rDT9v4rWrL5lj11mMm8oWPm9bfeSJjS6xzp3N/Mm3L5L7ldNxMhm86+4U+N14gYN7Rt29f9SJBp8f6THbMS3ffSrb+sfh4eT/nmtGvTrJzoUztW1j6jiBqECx9/7//+z9b0MnytS20mBPTNddM97hZzJh5Og8ToALUwxeHVfMXASwl27Fjh6q0XuIdqQVWRd6yZcsiZQtkOoJ5gBWkRYsWIW2Eomv37t0qDcvfX331VbVcAkpCSPny5ZXyGMu8Y/nxUQd46D/9oFmvXj2BMgNvYbGUC1adUJZjCSyWtiPSs50yVCsB0SREfo8m6F9QgIIbljP5LViUbtuaNWtU4CN8R0Rs+LKKJH7vO4hoC7cG0V6c2LXdjXEnnX3LjfrbcQlSGh64sGxMS7gLjWTHFl2uFz+TaVum9q14xs1k+Ka7vzRq1EjgQ9caaNFpnZId89Ldt5Ktv1NOfs6XqXPNZOdCmdq3EFgL1sWQ66+/XipUqGDb/ZPla1toMSamc66Z7nGzGDHzVB4nQAWoxy8Qq+cfAnDMrqVy5cp60/YTFn9a8NYxUwSWnNriCU7Fe/fuHdJ0/TCGxCeffNL0p6ozQcEMn3m4gZ999tly3XXXRfQ1qo/xyqduGx5OEdDEKngrCkU4/n744QcVAfzQQw+1ZjGV60i09p+QTP9+se5H//KrAhRKYihwIVB6w2Iukmi+2O/HvmO1Co/URrt0N8Yd/eIG5Vv7jt35rPvd6Ftu1N+unkFK++ijj0xr7hNOOEH5h7W2T/f9RMcWa1le206mbZnatxIZN/3Yd6pWrZpwd012zEt330q2/gmD88mBnGsWXKhE5kKZ2Lfgfgj3WQisI7t3714A0OZ/fU/CrkT42hRZrEnpnGume9wsVtA8macJRH6a9HS1WTkS8B4BTLi0xFI4YdmWFjjyzwSBTzJEfNf+67CcGVZ9VrFOLOAf7+ijjxYEjYIyEEF9pk2bpqKbwyLq/fffV5YfCLjkdYFVq7b0Rbtq1KghUGTAihU+U7Hs/7333lOWoStXrpQ777xTxowZo/bptulJKRTHsXyjWvuXtqjV5fjlE5Eiv/rqK1VdLPk99thjo1Y9qH0naqONnW6MO+nsW27UPxYjP+//+eef1UMW2gCFz0033RTSHDfGlpACPfQl2bZlYt+KZ9xMlq+HukrcVUl2zEt330q2/nED89EBmTzXxGVKdi6UiX0LluS5ubmqlyOAbbSVOMny9dFPKaSqbox5bpQRUil+IYEECVABmiA4HkYC4QSsisxolmo4DkosLTpqvP4exE9MSIcMGSKIPghBoJ4LL7ywSFOtS2+wBMW65Bl+L6EQ7dGjh7IAxdLxl19+Wbp27er5aPFLly5VSktMsKDMe/zxx0OW7bVs2VJ69eolDz74oHzzzTcqWvzIkSOVwlhD0v0rVt9Cfmv/Ans/ChTC+rcRa0KK9gW178S6drpfIF+svmHtF5otjtNlxDoeea1luNG39LlRdqzzW89trT+ODaLA2v2uu+5SD2Z46TFw4ECpWLFiSFPdGFtCCvTQl2Tblol9K55xM1m+HuoqcVdF941YYw4Kto47eszTx2N/rDKsx7s1bunzxzp3pPojPYiS6XNNXNNk50KZ1re2bNkin376qfo5wPUWfLBHk2T5Rivby/t0v0AdY407kcY8N8rwMiPWzT8EghNi2T/MWdOAErBafcaa5OpJNFCUKVMmoEQKmoVlsgMGDJDvvvtOJcCa86GHHpKcnJwi7R46dKggcvnbb78dovy0ZoSyEIFiIFCC+iHSOQKTQLH57rvvyrPPPhui/NRtg9UmOGn3CWiXXv6NPLp/xepbyGvtX3b+RJHHy4J26+VIiJB9/PHHx6xuUPtOrIbrfoF8sfqGtV9Yxx1dRqzjcQ5rGW70LX3uZOqPY4MmEydOlFtuuUWNAVB+IsJ1ly5dijTTjbGlSKEeSUi2bZnWt+IdN5Pl65FuklA1dN9IdMzTx+PkscqwjpnWcTehiv97kD5/rHMju/X8bozZydQ7lcdyrllAN9m5UKb1LfjX1nPt888/P+YKq2T5pvI3kMqydb/AOWKNO9YxxzrmuVFGKtvIsjOHABWgmXOt2dIUE7BOLKGYiyb6Zos8COwTVNF+xWbMmKGa2KZNG3n00UcjOhdHJjgeR6CgaHLyySebuxcuXGhue3kDCl8Ex4rkWB11x3J4WLRC4BcUwZK0lCtXTm1iYoF90cTa//zYv6ZOnWr6PIWrADtluV37g9p37Nqq09wYd9LZt9yov2YRlE9E8L7nnnuU4gKWFPfee6+ceOKJEZuX7NgSsWAP7EimbZnWtxIZN5Ph64HukXAVkh3z0t23kq1/wuA8eiDnmqEXJpm5UKb1LRgnQHCv7datWyjICN+S4RuhSM8nuzHmuVGG50Gxgr4gQAWoLy4TK+kHAtpyD3VFpLtooiMNIk80hVi0Mry+b968eXL11VebSjwsXX/sscdcaS+ivupJmlVJ6HUmTuqHJTharG2z9i9r/9F5rZ/W/qc5Wfd7ffvbb781qwgFqJsStL5j7RfW627HzNpvrOOOtQxrHrsyrOdwo29Zz20t2+7c1rpZ62+X149pcJGBMVIHisMLEbjLcPpQFqvNkcaWWMf5Yb9d2zKtb6Vy3LTj64d+EamO1r5hHVfs8lvHJT3mWY+37rc73lq+W+OW9fzW8u3Ob62frr9dPr+mca6Z2JWLNBfKpL6F5ezwwQ858sgjXXk+0VcjEl+932+f1n5hHVPs2mEdk6xjnhtl2J2PaSQQLwEqQOMlxvwkEIFAlSpVzAjKq1evjpCrIBlvq7VYHyx0mt8/EbgDPjw3bNigmoJARYMHDw7xpZVsG7UVJJQEQRXrxAG+Q7U47V8NGjRwbD2py073J6xXf/zxR1UNBMlCRE63JUh9x41xJ519y436u90/0lEeAtIg+Nm4cePU6WEtDkVo69atU1Id69iSkhOksVDdtkzqW8UxbupLqvnq7378THbMS3ffSrb+frxmdnXmXNOOivM0u7lQJvWtVL40wlWw4+v86ngrpxtjnhtleIsKa+NXAlSA+vXKsd6eJNCkSRNVr7///jtq/ebMmWPuh0/LIAkmpIj2DmfXWF6HwB3/+c9/okZVRPvXrl2rlKT9+/dXwY2iMUGkW+1M2w8KZASmuP3226Vfv36mUjhS+xCYQkujRo30pui+hYS5c+ea6eEbeBDWb7Thb9VvgrbpSJGdOnVyVP0g9x0nAHTfSHTc0cfjXOnoW/r8idbfCSMv58FvFmPmlClTVDXxu33uuefE+iAaqf5ujC2Ryk53uhtty5S+lci46QbfdPeRRM+v+wWOT3TM02WkY9zS506m/omy88pxnGsWvRJuzIUyqW/99ttvJsSOHTua25E23OAbqWw/pOu+kcyY50YZfmDFOnqbABWg3r4+rJ3PCBx11FGqxlgeYFVyhjdDW7ghwEvdunXDd/v2OxRvCNYBB9kI6jN8+HA59dRTHbWnatWqAh9miHz82WefRT1m0qRJ5n4/KPmg4Pjpp5/UgxYm7ZEEVmB6P5aKwApMy2GHHWZGgNaKEr3P+okJHc4Hgc9Vv8lff/1lVllPlMyECBtB7jsRmhySnOy4k+6+lWz9Q2D48AvGSf0gBqX/U089JbCUcCJujC1OzpOOPG60LVP6ViLjpht809Ev3DinG2NeOvuWG/V3g2O6yuBc0568G3OhTOlbeXl55nNa7dq1Tbda9mQLUt3gG618r+9zY8xzowyvc2L9vE+AClDvXyPW0EcEEK0aVo+QUaNGhUTf1M34+uuvRb89O+ecc3Sy7z+x1AMBjrTyDUE8Onfu7LhdJUqUkHbt2qn8eMv6wQcf2B4L68+XX35Z7YMC+bTTTrPN56VEqyXja6+9Zlo4htfxlVdekXXr1qnkyy+/3OxLSACf7t27q31Qkv76669q2/ofLCdfeukllQQFqtv+M63nStX27NmzzaKdKkCD3HdMGFE2kh130t23kq1/FDSe34XfMe4JkBYtWsiwYcPEGik1VgPcGFtinSNd+91oW6b0rUTGTTf4pqtvJHteN8a8dPYtN+qfLMN0Hc+5ZmTybsyFMqVvLVmyxJyLc64ZuU9Z97gx5rlRhrVO3CaBRAjkGNFF703kQB5DAiRQlAAibsOKb9asWbJq1Sr1drFt27Yq0jsiv3/++ecyYsQI5RemWrVqyucbIg8GQb744gsZO3asagreplaqVEmmTZsW8w8+7rKzC97FHHzwwYoRLEinT5+uFAGHHHKI2o8AIbAQxVLyLVu2qPMMGDBAcIzXBW+NN27cqBTf27Ztk5kzZwosV7WVFyyGEexE+//D0le4DtBcdPuaN28uH3/8sVKswwq2Xr16ov18rlixQvUnvZzvqquuSpn/QF2fVHy++OKLsnXrVuUyAe4QMBl3IkHsOzNmzFAW0Wg/XpZE8nfrxriTzr7lRv2d9BGv5dm3b5/6naO/Q/ACaP78+THHTIyP9evXV8e4Nbaowjz2nxtty5S+lci46QZfj3UZVR28SIQ0bdpUjjnmGLVt91+yY166+1ay9bdj4oc0zjWjXyU35kKZ0Lew6uK7775TMDFOtG/fPjrYf/e6wdfRiYoxU3HONdM9bhYjVp7KwwSyjDdp+R6uH6tGAr4jAEXngw8+KBMnTjTrjqXMCAikrSMRifOZZ55RE3Qzk883+vbtK3ijGq9MmDAhxOIJE5IhQ4aY1rNQEIMfAv9ofrCQgoLQTxaOqPtNN92klOOaEZTgUPBZg2JhEob3UlAg2wkmbQgoBUUqpEyZMmppPKxmtfTq1Uu5ItDf/fR54oknKv+uUO6+/fbbcVU9aH0Hls76Yf7dd98NcYkQDsaNcSedfcuN+ocz8fp33CNgKR+vXHjhhXLNNdeYh7k1tpgFemjDjbZlQt9KdNx0g6+HuouqSteuXdWnk/tgsmNeuvtWsvX32rVzUh/ONWNTcmMuFPS+hfklnsMgd999t2AMdSpu8HV6ruLIV9xzzXSPm8XBlOfwNgFagHr7+rB2PiQAhVa3bt2UP5l58+YJBvrt27cLLBghXbp0UQo+p0su/IAAD1EjR440Ix7GU+dLLrkkxMoP1o89evRQCk8EBIKfHlh8gh/8isJycujQodKhQ4d4TpP2vHCNcNJJJ0mNGjUE/tpgKYxATjt27FB1kM0ndwAAQABJREFUq1WrlvTp00f++9//StmyZSPWFz5j0b/Qt7BcHlZkugwse7/66qsF1p/h1qMRC/TQDizh1wo/WAajH8QjQes7Tt/Kg5Eb4046+5Yb9Y+nr3ghL17+wBo8Xjn88MNDxj+3xpZ461Ec+d1oW9D7VjLjpht8i6MfxHMOfQ+JZQGKMpMd89Ldt5KtfzxcvZCXc01nV8GNuVDQ+xYiwGvXIZdddpnAIMGpuMHX6bmKI19xzzXTPW4WB1Oew9sEaAHq7evD2gWAACwXFyxYoJbBY7ly9erVA9Cq4mkCFITLli1TylBMxjDpwI3T7wLDe1hsQsELxS6W+UN5Ga9AuY6+BetiLInFH5TEFFHK5SD2HafXNtlxJ919K9n6O+UUtHxujS1e5OJW29i37K+uW3ztS/d+qhtjXjr7lhv19/5VSk0NgzrXBC032sa+FbnfucE3cune3+PGmOdGGd4nxRp6iQAVoF66GqwLCZAACZAACZAACZAACZAACZAACZAACZAACZCAqwQYBd5VnCyMBEiABEiABEiABEiABEiABEiABEiABEiABEjASwSoAPXS1WBdSIAESIAESIAESIAESIAESIAESIAESIAESIAEXCVABairOFkYCZAACZAACZAACZAACZAACZAACZAACZAACZCAlwhQAeqlq8G6kAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJuEqAClBXcbIwEiABEiABEiABEiABEiABEiABEiABEiABEiABLxGgAtRLV4N1IQESIAESIAESIAESIAESIAESIAESIAESIAEScJUAFaCu4mRhJEACJEACJEACJEACJEACJEACJEACJEACJEACXiJABaiXrgbrQgIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk4CoBKkBdxcnCSIAESIAESIAESIAESIAESIAESIAESIAESIAEvESAClAvXQ3WhQRIgARIgARIgARIgARIgARIgARIgARIgARIwFUCVIC6ipOFkQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJeIkAFaBeuhqsCwmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgKsEqAB1FScLIwESIAESIAESIAESIAESIAESIAESIAESIAES8BIBKkC9dDVYFxIgARIgARIgARIgARIgARIgARIgARIgARIgAVcJUAHqKk4WRgIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk4CUCVIB66WqwLiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAq4SoALUVZwsjARIgARIgARIgARIgARIgARIgARIgARIgARIwEsEqAD10tVgXUiABEiABEiABEiABEiABEiABEiABEiABEiABFwlQAWoqzhZGAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgJcIUAHqpavBupAACZAACZAACZAACZAACZAACZAACZAACZAACbhKgApQV3GyMBIgARIgARIgARIgARIgARIgARIgARIgARIgAS8RoALUS1eDdSEBEiABEiABEiABEiABEiABEiABEiABEiABEnCVABWgruJkYSRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAl4iQAWol64G60ICJEACJEACJEACJEACJEACJEACJEACJEACJOAqASpAXcXJwkiABEiABEiABEiABEiABEiABEiABEiABEiABLxEgApQL10N1oUESIAESIAESIAESIAESIAESIAESIAESIAESMBVAlSAuoqThZEACZAACZAACZAACZAACZAACZAACZAACZAACXiJABWgXroarAsJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkICrBKgAdRUnCyMBEiABEiABEiABEiABEiABEiABEiABEiABEvASASpAvXQ1WBcSIAESIAESIAESIAESIAESIAESIAESIAESIAFXCVAB6ipOFkYCJEACJEACJEACJEACJEACJEACJEACJEACJOAlAlSAeulqsC4kQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAKuEqAC1FWcLIwESIAESIAESIAESIAESIAESIAESIAESIAESMBLBKgA9dLVYF1IgARIgARIgARIgARIgARIgARIgARIgARIgARcJUAFqKs4WRgJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkICXCFAB6qWrwbqQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAm4SoAKUFdxsjASIAESIAESIAESIAESIAESIAESIAESIAESIAEvEaAC1EtXg3UhARIgARIgARIgARIgARIgARIgARIgARIgARJwlQAVoK7iZGEkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAJeIkAFqJeuButCAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTgKgEqQF3FycJIgARIgARIgARIgARIgARIgARIgARIgARIgAS8RKBEMpWZMWOG/Pe//3VURFZWlpQqVUr9VahQQerWrSsdOnSQ0047TUqUSKoajs7PTCRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAplHICnN48aNG2X8+PFJUatdu7ZcdtllMnjwYClbtmxSZfFgEohGYPXq1bJnz55oWbgvIARKly4tGFvckiVLlrhVFMvxOIGKFStKlSpVXKsl+45rKD1fUKNGjTxfR1aQBNJNYMWKFbJ///50V4PnTwGBnJwcqV+/vmslL1++XHJzc10rjwV5hwD7ineuhddrAkO5evXqeb2arJ+PCCSlAHWjnVBKDR8+XGbNmiUffvghrUHdgMoybAnk5+cL/ijBJ+D2dXa7vOBfAf+20O1r7XZ5/iXLmpMACZCAqHkYx8Vg9oS8vDxXG4Z+wr7iKlLPFOb2dUXfc7tMz8DK8IrwumZ4B0hB8z3jA/Szzz6TK664IgVNZJEkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAKZSiAlFqBdu3YNWc6OtzL4w5KXbdu2yR9//GG7pGHMmDFy5ZVXyrHHHpup14PtJgESIAESIAESIAESIAESIAESIAESIAESIAEScJFAShSgr776qhx44IERq7lw4UIZMWKEPP/880XyvPHGG1SAFqHCBBIgARIgARIgARIgARIgARIgARIgARIgARIggUQIpGUJfJMmTeS5556zVZIuWLAgkXbwGBIgARIgARIgARIgARIgARIgARIgARIgARIgARIoQiAtClBdi969e+tN8zM7O61VMuvBDRIgARIgARIgARIgARIgARIgARIgARIgARIgAf8TSKu2cfbs2UUINmvWrEgaE0iABEiABEiABEiABEiABEiABEiABEiABEiABEggEQJpU4AuWrRIvv766yJ17tu3b5E0JpAACZAACZAACZAACZAACZAACZAACZAACZAACZBAIgRSEgRp3bp1tlHg9+7dK9iHIEn4Q2R4q5x77rly1FFHWZO4TQIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIJE0iJArRTp05xV+jmm2+WRx55JO7jeAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJRCKQtiXw1goNGzZMHnvsMWEAJCsVbpMACZAACZAACZAACZAACZAACZAACZAACZAACSRLwDMK0FtuuUXWrFmTbHt4PAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmYBDyhAN26das8/vjj0rlzZ5k/f75ZOW6QAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQDIEUuID9IknnpCaNWua9crPz5fdu3erv+3btysl54QJE2Tx4sVmHmzge7du3eTvv/+W8uXLh+zjFxIgARIgARIgARIgARIgARIgARIgARIgARIgARKIl0BKFKCnn366HHjggVHrAkVo//79ZfTo0SH5VqxYIVCgDho0KCSdX0iABAoI7N+/X7mLWL16tZQpU0bq1asnlStXJh4SIAESIAESIAESIIEUEuAcLIVwWTQJkAAJkAAJpJhAShSgTupcoUIFeeWVV+Sbb76RZcuWhRzy6quvUgEaQoRfvELg/ffflxdeeEFV5/bbb5fu3bsXS9VgQY3fykcffSS///67wKraKrCY7tq1q1x55ZXSuHFj6y61vXDhQrnmmmvUNoKNvfnmm1KlSpUi+WIlDB06VL7//nuV7frrr5fTTjtNbaM8/G5jSVZWlpQtW1ZZeFerVk1atWolxx57rDRt2jTWoRm3/8wzz5Rdu3ZJ3bp11VjpFgD2BbdIeq+c4hqfTj75ZMnNzY0JoGTJkuq3jvt9kyZNpG3bttKjRw8pVapUxGNTWXbEk3IHCZCALwgU1xgXDoNzsHAiwfueqjkXSN13333y448/KmiYN2P+HK9gleTVV1+tDqtataq88cYbZvBg3jfjpZl4/lT2E12rVD5TpbJsXX9+koDXCaRNAarBnHTSSfL888/rr+pz0aJFsm/fPsHDE4UEvEQAk+CNGzeqKu3du7dYqvbzzz/L4MGDZdOmTRHPt2PHDvnyyy9l/Pjxcuqpp8odd9whJUoU/ryhfKhevbrMmzdPlfH111/LueeeG7E8ux2w2sY59uzZoxQYxxxzjJnNysVMdLAxZcoUee655+Tss8+WW2+91ZzMOTg08FnQz6AALVeunKttZV9wFaenCrP+DlM5PqFvOlGAWuH88ccf8uGHH6r7/QMPPCAtW7a07ja3U1m2eRJukAAJ+JJAcY1xVjicg1lpBHc7VXMuEMOL/k8++UTBwycMEnJycuKC+fnnn5vPH6ecckrIfJn3zbhQJpU5lf1EV8w6zuk0J59OnqlSWbaTOjIPCXiBQKGGJE21gTIlXLC8ZMuWLUphE76P30kgkwjg5cCLL75oWnyWLl1aWZ3CxUSdOnWUX124jZg4caIsWbJE8vLy5OOPPxYoRKFksE6wzjjjDHn44YcVPkyk4lWAQmmqf6/HHXecVKpUyfZSQMF26KGH2u6D5SoUuWvWrBG86EB9kfbee+8J2nbjjTfaHsdEdwmwL7jLM5NL69WrV8jLFisLKGHhqmPp0qWyefNmtQvj1U033aQsxmHdHE1SWXa083IfCZAACYAA52DsB24QOOqoowRWm1Ce4W/q1KnSpUsXx0Vjrox5uxa4moskvG9GIuPP9FQ+U6WybH/SZq0zhUBaFaB4OMKS3nCBX0Msj6WQQCYTwG9DL7cHh3POOUeuuuoqNYkK54JlMVB8Dh8+XCkVsVwev6HbbrvNzNqzZ0/lXxfW1bNnz1auJxo0aGDuj7Xx6aefmlmwBCSSYFLnRJGJ5TyPPfaY/PTTT6qo119/XXr37i0NGzaMVDTTXSLAvuASSBYjd955p3JrEQ0FXmpifIJ/b1g1Qxk6atQotSww2nGpLDvaebmPBEiABDgHYx9wiwBWZMFqc8yYMarIL774Ii4F6K+//qoMB3BwmzZtbF1d6bryvqlJBOMzlc9UqSw7GPTZiqASyE5Xw9atWyfXXnutaRVirceRRx4p8BVIIYFMJbB8+XJ59NFHzebjtwKfo3iDbCew9ITyEBMfLWPHjlXWV/o7LDa7deumvwomYE4FfnqxhBWCoEvt27d3emjEfPBV+tBDDynfgDoTlshSUk+AfSH1jHmGQgJ4+OvTp48MHDjQTIRF+bZt28zviW6ksuxE68TjSIAE/E2AczB/Xz8v1t5qtfntt9+ql4FO6/nZZ5+ZWaMZIJiZYmzwvhkDkA93p/KZKpVl+xA1qxwAAilRgMLK49577w35gw9DKGcGDBggffv2lYMOOkheeuklW4SXXXaZbToTSSBTCIwcOdKcHMF30OWXX+6o6Vja3K5dO5UXPvrg7Noq2K8F/jydinXyhTLcekEBa284b9eyYMECvcnPFBNgX0gxYBZfhAB8fuM3D4FVKNx2uCWpLNutOrIcEiABfxDgHMwf18lPtYQSqXXr1qrK8MMIJagTgUsruLmCIKCgm8FXed90cgX8kyeVz1SpLNs/hFnToBBIyRL4p556KmE+Z511llx88cUJH88DSSBdBGbOnClaUQgH54iyDj8/+Js1a5ZgyTcmQIcccohg0hHJTyaCDelI62iLjvrotF34/cydO1dFWA/3sdehQwcVVXzlypVqCTyWwkcKRqLPBx+dul2wNNWR3/X+ZD+t7i62bt2abHEZcTwezsDqsMMOE1gVYEkxAmChD6Kv4Tqhn7Vq1UoFmLILKMe+kBFdJaSRbvSbkALj/JKdna3GxVWrVqkj3fy9p7LsOJvJ7CRAAmkgwDlYYtA5B4vNza17J148o59CYISAZ4FYApdW2v8+/Hvql4ixjnOyn/dNJ5Sc53FrDHJ+xqI5U/l7TmXZRVvCFBJIHYGUKEATrS4s11577TXXrMsSrQePI4FECEDBOW7cOHUolJDYfvbZZ0OK+v333wV/CPpzww03yIUXXhiyH18mTZokOoIz/GE2a9asSJ5oCXC2jrfFmNiECyw3ocBE5HUInKrHUoBOmzbNXEqPshFN3k355ZdfzOKgIKbEJgD3BWvXrlVBsOCO4Prrr1cKbeuRWMI3YcIENckeNmyYUnxb97MvWGlkxrYb/SYZUuiTWvmJctz8vaey7GTazGNJgASKhwDnYIlx5hwsNje37p09evSQRx55RHbu3KmMIxAQKZJrK10rq/9968odvT+ZT943k6FX9Fi3xqCiJTtPSeXvOZVlO28hc5JA8gSKakiSLzPuEuCLBMtgESShXLlycR/PA0jAawRgBQ3lJyzxjj76aLn00ksFb2712zMsT3/88cfNAEDW+kNBqgXR3hMRO+WnLufUU081XzLADx+WokaTVE6+5s+fH2LtCotGinMCiK595ZVXmgGtYA0K5TssP9H3IH/99ZcMGjTItlD2BVssgU9Mtt8kAghj3quvvmoeioe+OnXqmN+T2Uhl2cnUi8eSAAmkhwDnYM64cw7mjJPOley9s2zZsnLiiSeq4nDfwhw8mqxYsUJmzJihsjRv3lyt7ImWP559vG/GQyv+vMmMQfGfreCIVP6eU1l2ou3lcSSQKIFisQCFpREexqHoxFLM0qVLS/ny5VXwE0S2xp/bVmWJAuFxJOAGAfj2gZ/bBx98MCTID5SN/fv3l99++02d5t133xUE/bIKAoRpadKkid507bN27drqnFOmTJFNmzapt9Cw7LQTRGzWvodq1KghkfLZHRstDT6NsGQbgZ700h601e2329HqEIR9cGEAQZAsKD4xxmr56aef5OabbxZMcv/880+ZM2eOtGjRQu9Wn+wLITgy5kuy/SZeUIsWLZIRI0YIrMm1oG+64Us4lWXruvKTBEjAXwQ4B4t+vTgHi84n0l437p0IYqQDfmIV1nnnnRfpdKb7KWRwI/iRPhHvm5pE6j6TGYPirVUqf8+pLDvedjI/CbhFoPBpOYES4YgZ/gEpJEACoQTwYI/AX+EKTCiooAjo2bOnsryEkgq/IasiwKoATdQCNLQ2Rb/BUhAKUAj8EEVSbEL5CSUoBNaC2qpQJUT4DxM6reANz7Jv3z6Bj1O0MS8vz9yNFyD33nuvekFiJnLDEYGuXbvaBsmCYv2CCy6Q119/XZWDvhauAMUO9gVHmAOXKdl+o4H069cvZPzS6RjXMHZgiR9+81bp3bu3soi3ptltp7Jsu/MxjQRIIBgEOAcreMkefjU5BwsnEv/3ZO+dcDsFA4l//vlHrdCBVSncXYUL7qGYT0NgOIRVZE6E900nlFKfJ5kxyFq7VD5TpbJsaxu4TQJeI5CUAtRrjWF9SMArBOCXMVKQo4oVKyrF6Lx585R1Ht6uIbKjlm3btulNqVWrlrnt5sYxxxwjlStXVsFz8JYSigoszQkX6/J3KMqcCBQe+HMiUAhjOdCAAQMEXCjxE7jkkksiHtSmTRtTAYpASXbCvmBHJfhpyfYbTejvv//WmzE/EZTtlltukWOPPTZmXmRIZdmOKsBMJEACviTAORjnYKnquG7cOzGfhhssCIwQ/u///q9IdeEOC0vgIfAdan1OKJLZksD7pgVGGjeTGYOs1U7lM1Uqy7a2gdsk4DUCVIB67YqwPoEgUL9+/ajtsCr78EbeKogev2bNGpVkVYZa8yS7DVcU8Lv75ptvqkA6CLyE71ZZvXq1acmJiOGx2qSPrVSpUohLCyxx37Jli1jbgrffCAJ1xBFHuBrRUtchkz6jXZdo/UwzYl/QJDLrM9l+o2khkJG2DIdVN17obNiwQb3c0XmuuuoqZb3SqFEjneToM5VlO6oAM5EACfiSQLTxDQ2Kdm/kHMyXl7zYKh2tb0XrV9YKYr799NNPq5VgCLBkpwC1GiDEs/yd900r6fRtR+snqJXTvpLKZ6pUlp0+8jwzCcQmQAVobEbMQQJxE4gV3ANKJy3WpeBI04GSsB3Jag/7khW8gYYCFII30OEK0M8++8w8RTy+ORFl/sYbbzSP1RtTp05VPj/hewhLf9566y0V4b5MmTI6Cz/jJIB+ZO0v4YdH62fWvOwLVhrB33ar34DUa6+9VsR6HOPWG2+8IaNHj1Yw3377bYG/2XgVoKksW1WM/5EACQSSAOdgnIOlomO7de/ECiyshPjmm28Ekdjhp90aBHT37t0yYcIE1QTcN7Gax6nwvumUVGrzJTMGWWuWymeqVJZtbQO3ScBrBDwRBd5rUFgfEkiWAIJ8JSpQFGhZsmSJ3nT9E1aYesIF5SSstqyiFaB4Q9itWzfrroS2O3XqJM8995zyfYQCfv75ZxWkBxM9SmIEypUrZ+t/Md7S2BfiJebv/G71m0gU8HB33XXXycCBA1UW+AAdOnSofPXVV5EOcZyeyrIdV4IZSYAEPE2Ac7Cil4dzsKJM4k1x895pNSzQvj51fbAqa+fOneqrNZ/eH+8n75vxEks+fzJjkJOzp/L3nMqynbSNeUgg1QSoAE01YZZPAnES6Ny5s3kEFJPxChynn3vuuUoB8fLLLxdRbFrL0xMrWKF+/fXX5q6ZM2fKsmXL1HdYhpYqVcrcl8wGlpZh2Q+UqhD4KrrnnnsYTC0ZqC4dy77gEkgWYxI4++yzQwJ03XfffaKj6JqZEtxIZdkJVomHkQAJBIAA52ABuIg+aAKUTNrPP+bf+/fvN2utl7/DTz4CkLolvG+6RdIb5aTymSqVZXuDHmuRyQSoAM3kq8+2e5IAJt9a4YhASdoJutPKQnmJZea//PKLQAFqXQYdXsYJJ5xg+uCEHyIt2voT350GP9LHxvqsUaOGDB482MyGSPMvvvii+Z0b6SHAvpAe7kE/K3ybIeotZO/evXLrrbfK+vXrXWl2Kst2pYIshARIwHcEOAfz3SXzZYWzs7MFS5AhcBujDR7Wrl0rv/76q0pHkEoootwU3jfdpJn+slL5TJXKstNPjjXIZAJUgGby1WfbPUkAPjG7du1q1m3kyJHmtpON9957z8yGyJFWR9vmjn83sEQDUdghf/31l6xatUq9hYZSEoIl8k2bNlXbbv6HSZ3V5ygUoHPmzHHzFCwrTgLsC3ECY3ZHBGDBAitv/SIGys9hw4Y5OjZWplSWHevc3E8CJBBMApyDBfO6erFVWgGKusEfKAS+P7GSCxJP8CN1gIP/eN90AMlnWVL5TJXKsn2GmdUNEAEqQAN0MdmU4BCA/zytMMBkCEGKnMjYsWNl/PjxZtY+ffqY25E2rBae8Ds0bdo0FbUd+VMx+dL1GDBggBnAB0vw4SPQugRI5+Nn8RFgXyg+1pl0pgMPPDAkyu3kyZPNh71kOaSy7GTrxuNJgAT8SYBzMH9eN7/Vum7dutKxY0dVbdwXMQfWilDEA8Ay+VQI75upoJreMlP5TJXKstNLjWfPVAJUgGbqlWe7PU2gQYMGctFFF5l1vPvuu+Wll15SS0jNRMsGJk2Iqv7www+bqb1795ZWrVqZ3yNttG7d2ozODMtPPfmCs3csi06VwDIVy2G1YLk/IkdT0keAfSF97IN+5r59+4ZYk2Os2rZtmyvNTmXZrlSQhZAACfiKAOdgvrpcvq6s9r++ZcsWFSjwjz/+UO2BdSiWyadKeN9MFdn0lJvKZ6pUlp0eWjxrphNI3cia6WTZfhJIkkC/fv2ke/fuZimjRo1SztCfeuopNUmaMWOGsvZ8/vnnVdCjxx57THJzc1X+Ll26mBGYzQKibOgJGCZesDiFQPkJJWgqBUv0jz76aPMUL7zwghl8yUzkRrESYF8oVtwZczIsu7vrrrskKytLtXnDhg2CscwNSWXZbtSPZZAACfiPAOdg/rtmfqzxcccdZ7qqevzxx1UTcJ+0rshJRbt430wF1fSWmcpnqlSWnV5qPHsmEqACNBOvOtvsCwIIhPTggw8q5aau8KZNm2TMmDFKkQBH5oMGDZJwpSF8esLHXk5Ojj4s5if8cSI//A5pqyxYkBaHDBw4UMqWLatOtWfPHtXm4jgvz2FPgH3BngtTkyeAYEjnnXeeWdCHH36oXG6YCUlspLLsJKrFQ0mABHxKgHMwn144n1Ub/eykk05StYYVKOTII48ULIFPtfC+mWrCxV9+Kp+pUll28ZPiGTOZABWgmXz12XbPE8Dyl9tuu03eeecdOeuss8yI7eEVh/ISVp9Qjj7wwANxW25Wq1YtJPDSQQcdZEZuDj+X298xyYO/LS2//fabfPTRR/orP4uZAPtCMQPPsNNdc801UqtWLbPVeMmDFx9uSCrLdqN+LIMESMBfBDgH89f18mtt9cobXf/w7zo9FZ+8b6aCavrKTOUzVSrLTh8xnjkTCWQZFl8FoeYysfVsc0YRQIRztx600wUOvj7Xrl2r/tasWSOI3N2wYUOBI3UsZ6EUEChdurTUqVPHNRyLFy92rSwW5G0C8HVUtWpV1yrJvuMaSs8X1LhxY8/XkRUkgXQTWL58uW8DHnIOFr33QGGMOalbsmzZMtO1k1tlshxvEIDhBnztuiVLly4VBFSlBI8Anm/r168fvIaxRWkjQI1J2tDzxCQQPwHcBKDsxB+FBEiABEiABEiABEigeAhwDlY8nHkWEiABEiABEkgVAS6BTxVZlksCJEACJEACJEACJEACJEACJEACJEACJEACJJB2AlSApv0SsAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAKpIkAFaKrIslwSIAESIAESIAESIAESIAESIAESIAESIAESIIG0E6ACNO2XgBUgARIgARIgARIgARIgARIgARIgARIgARIgARJIFQEqQFNFluWSAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmknQAVoGm/BKwACZAACZAACZAACZAACZAACZAACZAACZAACZBAqghQAZoqsiyXBEiABEiABEiABEiABEiABP6fvfOAl5rK/viZR2+iSLEhoGJFFFmxYde1LBbW3rGvFV3L2nXdtXfd1bX+7WJX7B0rKoqiqAgWQBQRxEJvb/75XjzDnbwkk5nJvJl5757PZybJzc0tJzfJub97iuOA44DjgOOA44DjgONA2TngANCy3wLXAMcBxwHHAccBxwHHAccBxwHHAccBxwHHAccBxwHHAccBxwHHgVJxoGmpCk6y3ClTpsgHH3wQWmQqlZI2bdrIUkstJauttpq0a9cuNG8SJxYtWiTPP/+8Kapbt27Sq1evJIqttzLS6bQ8++yzpr6uXbtK7969661uV5HjgOOA44DjgOOA40D1ceCtt96S3377LbThzZo1M3JY586dpUePHoJsVkpyslgpuevKdhxwHHAccBxwHHAccBxoeByoCgB07Nixcumll8bifk1NjWywwQZy9tlnS8eOHWNdk28mhG5tz2677VZ1AKjd/gEDBjgANN8B4PI7DjgOOA44DjgONDIO3H777fLVV1/F6nWHDh1k0KBBMnDgwFj5C8lkyzJOFiuEg+4axwHHAccBxwHHAccBx4HGxYEGZwJfW1trtEWPPvro2IJ647rlrreOA44DjgOOA44DjgOOA6XjwPTp0+Xqq6+WG264QZDLHDkOOA44DjgOOA44DjgOOA44DpSbA1WhAWozCW2Cvffe206SBQsWyJw5c+T777+Xxx57TEaPHi0//fSTHHfccfLAAw8ImgiOlnAALdk///nPJmGdddZZcsLtOQ44DjgOOA44DjgOOA7k4MC9994rTZo0yeQC5Jw3b54xkf/kk0+E88hmDz30kDRt2lSOOeaYTF63s5gDThZzI8FxwHHAccBxwHHAccBxoH45UHUAKP49V1pppUAurb322rL11lvLv//9b3nllVdk9uzZ8sQTT8hhhx0WmL+xJiJ0n3vuuY2m+999951cddVVpr9/+tOf5MADDyxL3zHX4wcxIeQ+NFbCD61MniDpHyaIzPxVZOFCkZatJdVpeZGVe0qqVZucrGGRY9iwYSYfvn9xfVEq6t69e6mKjlXuQo8/qkWFn71S+9aL1aiEM9UOf1Fk6uSsUlN9t5DUij2y0pI4+Oyzz4QftMkmmwi+kEtF5R478+fPN11jzDB2qpnS3nOQfvWxgrqQWncjSS3fraBr7Yt45/DugXbddVdp2bKlfbrR7K+44ormOxbUYb6zm222mQE9AUEff/xxOeSQQ6R169ZB2RttWmOTxT7//HO55ZZbzP1GVsdtAYRP/d9//9181/baay+TVqq/2Qvny7iZP8nkOb/JrIXzpEmqRpZu1kpWbtNBurfpKDXee7IaCZmKZw1iXCFjNgTyf5uJXzBz5kyz+LLHHns0hC6WtA/P/PCpTJs3I6uObTqvKV2atTVpDWmsrLzyyln9fPrppw0OgNxTSlcsWZUmfDBh1s/y3s/fFlTqX1faQJoWOc9k3sH8Ayr3WPn5558L4kNjvgj5v9z3rZT8X3bZZQsuvmF8Ia3u89HnRQcACn3xxRfWWbfbGDlAEK3rrrvOdP2AAw4oGwDKiwgNGYiJYPPmzc1+Y/tLT/1Bau+71gNAJ9bpugeLijRpKqnt9pSabXavc95O+Pjjj2WfffYxSUceeWRmYmXnaSj7c+fOzQghBHtraABo+rMRkn7ijjq3Kz36fak59WpJNW9R51wxCffff79cfPHFpoh77rmnbO+EYvoQ91oWAiGEoGoHQGXRAkm/UhgAKp1WSAQAPf/88+WNN94wPGVxLWxB1mRoxH9rrLGGrLvuujJy5EhjoTNhwgRZa621GjFHXNe//fbbjCyGrK4A6PHHHy9ff/21YZBZHC0Rq56fPFrun/C+zK9dvBDtr2aFVu1l8OrbSrc2hU+q/GXW1zFAhb7rec83FADUz79jjz1WeJfQPwV8/Xnc8WIOvPHTWLln/Lt12PHRL9/JuT22N+B/Qx4rf/vb34xlaKtWrTLPRh1mVHjChFnT5bFJHxXUyl1XXE88VZuCrtWLKum9MmNGNpCvbXTbJRwAZ2B+Q8BK5FNcETFfXGGFFUxgys0339xgZA1lDukA0CX33uytssoqmZQWLaInzr/88ouZzIwbN84IYEST79mzp2Aa3r9//0w5uXYQ7N58800ZM2aM/Prrr4I2KsL/hhtumFPrAZN9fgxWPuy8cJhU8dtoo42EiYRNTCg+/fRTk7TjjjtKly5d7NNZ+9OmTZNnnnnGpK2//vqy3nrrmfKZ9EP0ddNNNzX7/j+uZWV+/PjxMnHiRFlmmWVk1VVXlTXXXFN4iMIeoHfffVe+/PJLUxyAY5gg9vrrr5uyMaOztTJ5gHFdAG2zzTbGhcGjjz4q7733nnB/tthiC9lhhx2qfzJveti4/gz4+d9zRebMCu/4Ik/L64UhUutphtbsOig8nzvTIDiQXrhAap++N7gvv/0s6WFDJfXn0moFBVfuUh0HHAeK4QCyGPIKlEsW++CDDwTTeYIsoenR3dO6R7Of732UjONvn5PFFnMEt1C4H4B69eolffv2XXzC9//bb78ZSymSsaJAblVqSLLYQxM/yAkk/OBphZ736VC5oNcu0qNtaYKoKm/d1nGglByY6y0WPjBhRGAVP879XV6dPk62XzZ7bhmY2SU6DjgOVAUHPvroI7nwwgtl0qRJWe1lUREXkfwARlEQPO+88/KSq7IKbCAHDU4DlPuCEK208cYb626dLQPhsssuM4ClfRKgDcI08owzzoj0IcrAevLJJ82qtr0aCUD54IMPGvDy2muvlbZtF5sb2PXMmjVLrr/+esGkw08KcN52222y5557CqueCiSiyUM6hGr64Ycf7r88c/zcc89l8qrpEQCrXk8UeD8ASpkAkHfffbegeWbTO++8Yw4RpuHNcsstZ582+2+//XZGoN53330z7fZnfPXVV4UfmpB+AFTb16NHD6OpBUCsNHz4cANQc85R9XAg7Y272nuujgY/re6k335e0t3XlFTv4GeYRQqiEkP+RQKrGLdb4RxIv+kt0EyfEtrK9OtDJb3h1pJaJrkJ6V//+lezmEOlvOcdOQ7E5QDfPcy5IRYFHYVzQGWxTp06ib0wbV+BVgcuatRqR89hLg3xjv/73/+e8Vuu5/1bJ4tly2LIbipH7b///qEAKAv2mg+NKT8AqudKKYtdeumlGRN4/31N4viTXyflBD+1nnm1C+XqL1+Sq/rsJc1rGuQUSbtaldsrrrhCeGcwD3IUzoHHPa3BXxYstv4IyvXM1C9ko/bdZNkqd4sT1DdNu/LKK43mp86dNd1tHQcaGgfQ9DzttNOMD3aU01AeQ1lt+eWXNzjR5MmTBYD0/fffNz++9SyQVr1VWBE3ssF93bnJAHcQvrnCAFAAvhtvvNHkQz1+p512MtqQfFgxrQXoA2gbNGiQ3HXXXaETnZdfflmGDh1q/NGgYdmnTx/zwsVPGKbXaEKecsop8t///jcLCFTgEkQeQlO0X79+svTSSxtAluuYECDUP/zww2ay/pe//MXkRYsTdeYffvhBXnzxxUgA9IUXXjDXoE0R1/zs1ltvNSrUXIjPVR6k1Vdf3ahSo6UxatQo+fDDD80kkLx+vyumwoT+hgwZYrRjKY77hFYDYJcDPxNicD0Wk/7oLZEpk/KqsfaFB6VJCADauXNnAciCGqs7gbyYWYGZ0zN+9Xw6PhHdMk9DNP3sfZI6YHB0vjzOoqGPNjvk/BLmwTiX1Vg/qE8svkmO6nJAwcixY8eak8gQQYTfx0MPPTTjUxXwjQUJzJrQBEWOmjp1qvzrX/8yWg1R/tydLFa9shhBOVmYLxUNCdGEC6tv6ryZ8uqUMbLj8r3Csrj0MnEA669SjpUydSvRan/yNDzx/RlFc2sXyJM/jZbDujXcBWDm9XyLHDkONHQOXH755Qb8BI9hkShswRkM59RTTzXyFKbyupjf0PkT1L+qA0ARqAEcbeJjyGo3ar8AgoBkCNBod3bsWFdrCGDSXtUmHyi50n777WfKYVUaE/mbb77ZaDvqeXuLzx188t10001ZQCCC+oknnmgAUDQZ0ISwg7S89tprRh2ZskDiMRX3E/6RKIMXOCbgCoCC7u+8886mD4CgBPMIiuYOiIpJPaTX+uvwH9NONT8HaLzooouy1KQBhFk1+M9//mOA3muuuUb4lYrQhAXsRV0b0IL++LVStW7GAQC4n5hAsQLIpBVelkt4sj/E5WyHnz9JHuPj9McffwwsstO7r0jecMG0yTJpxNuyoOMKdcpk5Uo1q4P4maSGQLnGjHbaHjvlbou2qZgt72oCgnV47WFpOz9byzyo3PQnw+WHHr1l3vLdpX379mahKChf3DSbn/6xw/s1zL1H3PI1H2XbdWl6Obb+fpajDcXWiRZ5oWQ00Iu4Xuu176f/WUxy7Gh9lbrFtY7/OcFkGlBzxIgRmYVLfLKHRYBHDtOAUscdd5zx6WyXefDBB5uAjSxKE1Ue8IPgS0HkZLHKkcWwhtL7at8rtFRyyWL+Z8q+PmgfGdi2vvLnmb5wjnwza5o/Oefxa5O+kDXmRgdjRGGB71ElkM23cr/rSyl7Rb1/K+E+FNIGFGF0Ua2Q6/3X3PvLKFmYzv2tfPvXb2XthUvJKu06+Yso+Jg5N67K4lIpx4rdBvv5sNPLsc88lW9lHJo6e2qcbIF5Joyf4GmxNwk8508Me5f5+eY/9pfjjuufA8ylcMGIO0FwqzDwk5YRoPKss86Ss88+WwgS5gDQ+r9fBdeIf0l+UYSARYCLMLNYND95+TBYANZs8FPLZUUap+wg5Jioo2mGFmQQAaD6tSDRKkKzAXM5iGBMNgBKVFQI0zAA1yBCoxTfTYCACmRqPnx/YhqGMICWZxAAiv9OiH7SnzjEKgJlcs0FF1yQBX7q9XvvvbcARFMvqwmAuUT0LBXxoGr/0GQNI8DqME0TXgj4MUVQZoJWbgKk59eQCDcFjAWeqSD65m8DZOWl4gtGWsYZhx4g9322GMjXNLa9e/c2YxQ/uTxv9iQIjdAkNfsqYcxo34mAWq3EpJgFm0HeQkrP1k3k3YO2Fw9FidWd72++RDa6+yUZ6L2LuR4/xEmQ/1lEeE/KLIR3aaWMnUpqS6H37dsxX0jvAi/m/dRt1UKvDq7U/yw2xABlwT0XwbwwF/GMnnzyyXWAUq775ptvjPsg9pEfcJfjJyZl+LQi2B3PKZY0GrzMn5djJ4tVhizGvd11112DbpGZnHGexdKgd2NQWlBByHsA47iHClt05boV+q8nm192XFARkWnjfvlBVum3JJ5AUGZkd9wL5BMvIKicpNMA0+LyMem6AbR4DyZFuApjgh9E5epjUFsKScPXMUonRx99tNF0L6QM/zWdN1hDtr7hFH9y6PFFbz0srx2X+10eWoDvBAtZu+++uwFafKfqHDLPxMowKeJ7HAbQVcJYwd8yPrFx6UJsjTjUbYeNZePzDouTtU6edXqtI4vmxgNa+f6iiBX1LmOOZc+z6lRYwgTGiqNgDhA/BkwLK1/iuuSibbfd1shVXMe3orG6iKjJxahqPM8NJaok/jX9H06ONYIrACNO9sNItSaZOIaBrh06dDAgZVAZNgrvf/necMMNxkco2pNRK2Dq/N+/WkQ6SD6EH03/6iHHmIRBuAGgnbkI838FWtG0iIpua/sdVZ+pucov5DztBuhyVPkcuPPOO41mcFhLl2reLOxUZHq7kOvQcB48eHCgpklkge5k2TjAhJV7hqB67bYbBAIjYY3bYLkOcmjvVeSll16Sf/zjH2HZXHoD5sBzz9X1lx23u/jqdlS/HEArAS1O9edp1845nazi5zyM8LO62WabmdPIGnqNP7+TxcQEivTzJanjSpPFUCrgW0Kwzihq1rpF1OnQc01btQw9pyfQgj73XC+ooyPHgQI4wGIwYxjN6DBq3SX33E2vTdWkpM/gffQw1rbz+qtL122CA6TFKsCXCaUhTHAd1eUACz/cb3V9VzdH+VJQ9DrnnHPK1wBXc8Ec0AXAIGW+oEIBk3EhBx4GKN9YKXETeALg4FRdSaOG63GuLStiNtjYtWvXrEvQxPRrCgBQoh2gK8KYcAMY4jsT4QgNAiXM3xUsRLBWJ/163r9Vcx1/VC3N59f81HS29sqW/4XHAMS020+YcYHKE8kUsACHtUoI/jZYCkCLqRkDmHx2MCOO9T4w0BHUAHvDtGKpw16RyuUvlAdN/ZWiWVkqCjN3C6oPrT+dKNnnAZ8ZUzzsmNeVa7WD+hmrEPfRvpd2e6t1n2BfRx55pFGvD+rDb+kaWTroRI60Tj1Wk22WWblOLnzhqrYp99VeIbT361xYQEK5xow21R479M02E9U81bDFdQe/W48bJJssl//n57Jt+8omq24u+x5yaFHdtfnpfxaT5G053zfKIP3ecVzucaxtKnR74omeH9jLjy/ochzEL/KsQ4ole+z4n8Ukx04x7cTtiy070C6sQPK5/3wzkceU/NYVyFn+9yzaIWhssZAK4IzWLXLFSSedJHwfcGOjhJyjhLwWJYupNj/50CIPCr4YJYvBDyW/1i59cLKYcid8m48shhZ9kCzGfSAQA3IQ710dj4W8o7bYYgsDrONeATP4MGrWtXPYqcj09Ky5oRZFeiHBO/faay89LOsWnvJugnje/c9mfTUuabnW/44tZKzUV9/zrYd3KotDyM1BLiPEM45Z+m87yOxXPpH5Y+u69/LX13LDVaXdaiv5k3Meb3TKgdKzqQe0LgzWtM1ZgJUBt21omMWhpMcK7xN7gazSxgqxPrjfWEUAhsahFmt3j5MtMM+WW24psiDePUWTHUsLP1XKe6Vc7zM/PyrxWF094jc9DoGXgWnhQg53kY2Vip8N+DhHACJ7tR+n9hpsyJc18PCpp57KRHYmA5NlWyWbGxaFcqMVudVWWxkNIT4omOSiNYCZLGQL3WhIqpakORnxFwaABgnOWoz9IlbNSj2nW8BD/DAwcAE9c61m63VsMS8DZEVzE9+nNgCqwY8wRVFze15wUQCo3cagCYZdN/v0HZC1lACoHwD3t8E+hhd33HGHnWT2MdPnwwPZfiNNQj3+8dLB7AsiQFdDDNzDc+aP5qssrn3cc9nw7kt6GG/rCfL/vPtBSbWpa1Klk20K4r7qJDlewfnlUl+j+V2VXG4m7SrMMblMWnBMrqW5S0rPnycnruFNSn8L13oIK2WZZjVyWPdlpMb7DhRD9fUsMhEt99jRhTDGTLnbUsw949p0syZSW2AhLbx3brHjhqqr4VnEfQ++oGxiIVStRuz0oH2+Uywu8Zwo+a9FRlAAS/PolgXU7bffXv73v/8JgQwpB4scjpVsWYwJYVxCFguST6JkMbX6oY4wEz4ni0XfgXxkMayHgmQxFuIHDBhgKkL+0fcRi9QqL2tadGuWnL3nnnuWHATszV20QI58/x5ZkI4HBGgRW6zSW054xVtwqRIC/GQuAPFc5uOHsZK76JfrihkrldpPjbvgb98rU76QW79+S9Y8cle5Yv09pan3DQ+jWQvnyUkjH5QZ3jZfarJ0Gzn2tktlj64b5HtpReX3jxWUg1TpJN/3Sik7RvDguPTGT+Pkxq+Gxc2elY/3bcsmhVneaUHMO3TRsCG9V7R/DWHbrVs344saGQbXh7hIjCLGH89FHHP5qHKq/Vz42zShnuG/MnBlK6T8MPAkJHtgMpqOtv8hTCaV0BJVIoIroFmcn98EXcso1Fccwgq+rPC5wccPTU4FP2kXwPERRxxhosprXf4tAuR2221nkjEnQ3sUQgPjrbfeMvuAwXHJVoWOIzwB4kH2JCluXXHz+T9oca9z+SqPA6mN4q0K2y1P9dooEPy087j96uJAephnilwA+Km9TL/9nKS94FiOHAccB+JzAFc5cemdd94p+ruOxgaaTSonYO5pa+qpLAYwH0cG0zwK8vj74mQxJ4v5xwTHAAD9O60WdCoybbvl1ow87046DpSSA7MXzpcHJ35gqpg89zd5fvLoyOoe+e7DgsBPLfTJ7z+Wn+dVr3957YfbOg40Ng4g+2AdDRG4GjcUQZgVshML0bpoGBR8uzHxLnEN0CDmDRs2TAick4vQWrDNsHPljzqP30uN9G5rGtjao0Rf10ETVVYpzuH787nnnjNFo4IMYo/WBC4DMDVSUzp4oqQrWXrMFjN4NDwZ7Gg5UA5arzr4MUUYOnSofUnovq1BgasAQNgoIg+EKXwY6ap+0PmwaO5BeV1a9XMgtUJ3SW26g6TfeSFeZ1q1kdTO+8fL63JVBQfSv0yV9OtPFddWb/Go9ql7pMmhpxdXjru64jmQnvajpD9b4gbGU4Ou+DZXagORDwi+EKa1abc7rmWMfU3QPou0BH8EUIWQxVTOQBYjGi5WKlj+lIsagyzW2OWwfVb+k4z8ZaL8tmCJRnPUeFu1bUeZ6WnSAUK1bto8Kqs75zhQEg48Ommk/L5gbqZsjrfo3FOWatYqk6Y738/+VV6Y/LkeFrSdX7tI7p/wvpyw+jYFXd/YL3rpx89ljqdtni+t3q6LrLnUcvle5vI7DmRxgEBqLDBj/YtM83//938m4CByFtgRbhixNEZBDsK62rhIyCqlcR2UDABFcw/GA+AByMUBQFX7EwHZ1hQo5JbYWgJEWleyzXjGjRunyfW6RdNSAzLQnv/85z+hQYrUfJEGIsT6/WBg0k6wJfyJwGcAUJ28ELW+R48esftm84aJSRShwaoAqPqf0PwK3nKsZrt6zt7afbPT3X7D5UBqwMGS/t3Twh5tgRpB3W3ZWmoOPlVSHToHnXVpVcqB9BtPeyo5rYtv/aSvJT1hrKS6rV58Wa6EyuXAlO8k/ez9ldu+KmgZQQTxr4ncgf9FdQcT1nQEZPXDXmpZjIi4yAH4hrTltLC2JZ3ekGUxJ4ctGS1LN28tp6+1g1z6+fOeltwSUGlJjuy9r2dOk6vGvCRNPBcmW3RaXfZdeUNp37wu8JR9lTtyHEiGAz/M+bWOxifg2pAJH8hRq21ep5Kh34+Sds0WW+TVORmSkK5dHI8AP6P6rvjstx9k4qzpsnIbzx+oo7w48Nikj+SX+bPzuobMA1fq4wDQvLnmLvBzAGyIeDdsCWiFXIV85Se0RQcNGiSHHHKI/1SjOy4ZAAoncfAMAIojfMzg8UEVRQqAYtaNL9FiSAV4yujVq1emKCJZYkoFQDp8+HBjNh5mZg2oSDR5Iq4TQGC//fbLlFPMzqhRozKXUy5tCiL8cI0ZMyZzKmwVHy1QospjRg9wzCQHAuHPh/DbxMMDuMkqAj5D/YCrlodbAQU3/b7B1OSNvEQ3hN9+QvuzXAC0vy3uuP44kPLGV82BJxst0PQrj3r+Ghb7rMpqwVp9pWaXgyS1rFsVzeJLAzio2c0LXsTPkeOA40C9cABrGL61uKrBDD4XAIo7HSxIsExZf/31i1qMRghXGQa3Ot27d8/0Gb9VSrQrKACDnv/nP/9p5Eh8f55//vniX3TVfPluG7Is5pfDwngTFXwq7JpqTF+1bSe5ZL2Bcu/49+Tdn+MFIFnkac689tOXMurXSXLmWjtKVwcMVeOtr7o23zPeC9rqjT0/vfbTGPnz8mtJ9zYds04d03PLrONcB7ZfRwCROC7PcpXpzjsOOA6UlwO4E7rgggtk4MCBRtbDJyiuhkhH3uIHvmYru5W3xeWtvaQAKObX6uw3lxk8gZMA7wDctt5661gAKD4zcfiK2Tw3mqjuaEPiC/Oxxx4znGVlyw/QofZL4CEinN5+++0mWiWIOc710ZrELB4z9LPPPtsApYClqBcTVRVEHb+mSgB8+RCBjl5//fXMJbQfLU0mJTYQywfKH4Tgxx9/FCYndn8xmWcwwzec+19xxRVGUxQzN4IQAGbGIeUlZVE+AZH+8Y9/GF+qBFvSFULKQkME9WoljQ6LII1ZP9HrlQBmr7zySnN/0FCF4O/ll1+eCUZAG8eOHWt4r9f5t/QNvxYQWq9M6hxVJwcYS6nNdpT0xtuJfPuFpH+cJOIFxpH2HSS16jqSWnrZWB3j2VNftzxDmFo6chyIwwEWtxSY4d0bFUE6TnkuTwVyoP/OkmqxRGsrtVzXRBqJDKBRxVlkxGd3JRNm6HzDCZSIGfwpp5wSaQavFiR81+P691b5wZZN0B5lkVmDDiGHIYgrIYgjH1IHchgB9GgfQSuZkBPle4cddhB8h2qbkJEAP4uVxZCvKFMX3WkTMioBN/Ehb1O1yWIErMDtEYoHuqCNzIncilsj3A3w7aSfuC968MEHM9398MMPjSyKHBxGpZDFGCe0G9mglG6pOrZoKyetsa38On8TGf3b9/LMD6Pl21nTwrqaSZ8+f5Zc+sXzcul6f81b0y5TiNtJhAO402AOwruEiX5Do1G/fCcfeb8gAhK989vhckGvXYJOuzQfB5gfoGzDe3D33Xf3na2Ow27eossenpZoIdQ01aSQy9w1VcwBvqEsXPNzFM2BksyCh6oAAEAASURBVAKggIiAVV9++aVBo6PM4FUQRUhu3759aKvRbiSSKEIxAp0f4FNfU1rA4YcfXkegbdGihZ6Whx56yPw0gXLRWkVrUSO/oxlJvQrAaV62AJJoJ5x11lkmErV9zr+P2ft1112XmRBwHr8M55xzjonGhXNaBHy0Ne66666M3ywt57DDDsv49tQ07S+CLNoWRDyHmPDgW0sDDWh+/xatUhzionHr98nJRITfeuutZ9qIBi/8IXiTuijgnnKfzzjjDHn77bf9xZvrjzrqKGOarz5Zv/jiC5OXiRmaJtzDe++916hv1yngjwQEZL3eH9027BqXXtkcSDXxXj+rrSsp71cIob2z5557mksJtnHLLbcUUoy7phFygHc57zGI99+BBx7YCLnQsLtcs+UuklpqmcQ7ee655xqgjoLxaYl8UOkEmAkASgRlANx+/foFNhmTcJUhACijfHPq9zhMFrMrwMoF/6M2oXmkACvbQZ5Zli3P8c1HPnriiScyl9Fu5L/77rsvk6Y7cWUx6jrhhBMMQKjXskXuO/TQQ+X000+XXXbZxSwkV5sshqXVsccemwmIqf2Dr/T5uOOOEyID01fAUBQHADQVKMWKiGjJmNKFUSlkMdpFm6AgX/dhbSk0HZP4Ti3axQI/tY6fPRAUP4yDemyqSW5bBg4QuwEFDZQ8dHGlDM0oSZWL0rVyt6f9GUVjfv9R3p32jWzccZWobO6cxwEUl/iGsEipQYKrjTHd2iwr/Bw5DiTJAXW9iKVvY6WSAqAwFcEbABQhGZ+RmJP7CYFHI5QidEcRoKetgRmVlw/kVlttVSeLaiFwntV9P/lNggAJmTADzO6xxx4GrDzzzDMzl6FJAHh4ySWXZNL8O4CpaEIiaILMg9KrqTp5EbRZ+aZt6qQW4HGTTTYxAj95AAsBZuEpK/Ss4jNZAQgC/LRpp512sg9D97k3aL9CWjYgLBoE2g7KB+gEsMQsXwkNU8DNU089NaP1yWQQniPMIihDAJ78lABKAbo322wzAwiTThr1hZlioCkLoeWLpogjxwHHAccBxwHHAceB3BwAOATYQssOS4wwABRNQcAytDfXXnvtSAA0CIQMawnfduoOc/fDdTb4qeWwMGoTcgKgczGyGFpByH34HEX7G7kUzUclrFMeeOABI1+pDFQNsljfvn0FuRQ+Il9igYXJ25AhQ4xsRTqL7ErI0ch0//73v+Xaa681bqo411hksRd/XCKTKk9ybV+b8qUc0G0jaVbjNKty8cqdz58DBDL63vP/mYvunfCebNBhZWleU/IpfK6muPOOA44DVcgBlOywIHYAaAlvHmDdTTfdZGrAxCjIzxMAGyZUCGOYPanQmU+zAO8wjeKHoIeWA0Iugh0RsYJIwU80Qm1gj7w6WWAfbUeAvauuuspMDDTCOufQimTVHaEa8y3aH0TUhUYmvMDcElAVjVBMv9C6gFQbAj9XaENgXoeplxJ9xPTcBpHJhxYrpuZK+O4Km+BoHt3qqjuauhdddFGmbBzkskKAL1BWWQGplUfk5T4CgKIhoibvaJ2izaqm/Gj1ovHq10LlOgR1NFKU4CnjA3+mfoI/CqbiMxXgOoiYYKGJ6ifAYQJyMca4D4WML3+ZhRzbEzx42dBWrwvhSTHX2M8h49O+r4wRW9O7mHq41i672LIKud4eO6xkM8F1VDgHbH/KPIf2/WXchL1j8q2RcVkpmgf02e5nvn0pR/6aufOkeYEVG743KfTqeJXyzbZ5yrevEp9NtC2RTVjsjDKDV1PzXAvRYdxhgRf5A3AR2Qg/lLjF4XuHHBYmi1EebeQ9Zz+bpPfp0yezWKwat8XKYiw2n3zyyRSfkcXQLNVnlXqgapHFcOt00EEHGf6h7YQGp7oJwvQTUBdg0+Yt8ijgJ/xFTlZKQhZDZlYNey2XLW6ckMWQmf3vXc1nP0+alsQWCyrbyqnlcdtJqm1+gWPm1S6UvU84QmonLXF9hcZwJZgb8q1RKqecixJHkm5BeMfa49buZ6nGivKx2C3KNLEt1lo1k5ZHbSOpls1yVjtt3kzZ74ozZOE78QL5rrnmmsalmhZs87AhjxXtL9tCxwpu5WxlJbtMe7/lsdtKql3+7nCYv9//5r/sogL3+V7l8t8deGGRifazV+6xUmRXGvTlfNtuvvlm49oLOYZ7ZT/nQZ1HzrEBUCwqS+mCJqgN5UwLRpISbBECJJoE+PgMc3Sv5u+bbrqpAc/8LyqANcybIEwVMX9A0EY7IMz8DMEO8A4NSTQe8CsaRGgiIpTjDxT/nAjgaD8gxON/SomXD+kQQK22B0EOMJDBhqmWDYDaTui57rLLLsv4mlP/NQMGDDD+SK+++mqyGBMsBDUlBTbpLya+NvipedDOxIcm/YUGDx5s+KPn/Vsm97Tf5uUFF1yQVTaamPgARbgD1GTSBMEH+wFRDQ0AY0BNBT/JiwYCPwRvG5jEhIXJDmAn92W33XYzgintJ42ylL+Ugz9X+AtFabYyySI4UxABHgPE8jKvBOCRcWaDWkFtdmnRHLA/zLzo7fuaNAhhlx3dqtKf1Weh9DU13BpswcD/TuD9nhT5x2VS5RZaTiWN4zh9aLqoroVGnOvIYwRAD9xOmuyxQx02TzmX9LsnqfazGA0Aihk8Go9+SwoWCHUxk+92ENm+v235IUoW4/mKI4sBwjFRxyx78uTJRgZD5kKmsNtTiCxmL2jQb2QkJVsWQ/YaP368WQDBCga5QamSZTEsZNQt0b777psBP2k77pEAIxmnBPVEFoeQqwE/oUcffdSAv0nJYvjNj5LF8KGL/GM/O6Yh3l9Qmp4rZIvJP/MBrJ0yz663gLj3afkFCdW6P/xytHz3ymJXU6ShbMGCQRS4r9fW17ac352kAVDesWGyctJjJcn7g2Uc7z11pZar7L6nHiCrxQA/tZzUht3lpStvlznTcmuM8izyPsPdj9/HcTnHCvPaJInxYM8L7LLzHSt8g5jrAhL5MQm7XN3f5bDNpHUBAChz99HevclFfLOxrkQxqVzUkMZKuXhYqnqJWaM4Tdw6WOzE+lgJCxEwrKSCTGq5lbqtKWXDAL4QPljxhRC8MDeyiY8bmn+QLeSaBO+Plw9l8COyO+AnBDgZBn5yHt+fSvixDCNeKBCAJ2AowjGBgGyBea211grVqETLQdttDyRTqPUHoEjbba01TgME6ko9x6plyT5CZJL9RdsTPiJM2GVTP1q4nLNXyGkDkzmEZiVe1koEElGhGy0De7Kgedhi6g5vg4jJDdoLEJMvAGU/KbDbs2dPo7LtP++OHQccB5LhQJNvPpOmX36UTGGuFMcBx4GK4ACyGN9WXZS1/WpqA1koZoJDQDmCSfqJhepSyWKYxvfu3dssLjNBB5xj4RzwzqYkZDHKRCs1SBYDgIWQS+2FEFteSkL2TFoW02CAtDnIyoo+IWvashxpNjVUWYxxxSI+/c+QN84XzS9scWThnCVuoCgPfu+3336Zot2O4wAcyGdctF91RVll183zYlzTli2k97F7xLoGq0OeAearjuJxADcr8Ix5ZyUQ2nnOV30l3InKawPyilrJIjfxPcKfedSPXiAL2XlQpkMRsLFQSTVACayjq83KUIRsVqiVWD3FRBnhC3+XfrJ9ftrnEYSjCNCVm0vZaBSEEQF8IFZXAFuDIsUxoKJIJwvUhRZFEHrOChKmEICBtmBNubaQr2bwpKOJoJREfzWoEavVdtk8PGqmgem8TpK07jBe2n498SURRfgs1eAK/nxofQJyMvlipfKAAw7IZOHe6RiK0v7kAvjIBM1PRENFGGEFEGA7DKj1X5f0MeC2TrrgcZZAnnRljaA8+zlC68C+r0lrYdlll4O1mDSoFgSLKfQ3cfIWRuTVR73ZvzcxXN97Fze1JoyJV1beAm3NA55D+/4myVvGoV12OXoNeAPRFrTrq4qKiLDe1ntOPOYn3l373YLcYt9f+1ziFRdRoF8WQ1jmu28v9KolTpj5u7oyohlJy2Iqh1F2qWUxZA1+cWQxdaNiy0uVLIthIRTmRx3eRkV353xSshggepAsho9ZgjQpwGw/O9QPBaUtPlPYP/I7P8zUbe2wO2Z9KpNrZ+Vd6IM33i5L1ywxnQdcqoT3KvKBunDguU7SDD1vJiV4Ae9Ym+x3bNJjxa6n2H007lGowTVFLrp39ucyYdHvubLVOd99h43k/IGHyUpNor9zvBPwB6zUUMdK1Lsv37FCfrAKvhMqQyn/grbXz/xQZqTzX1QhjsZWJ/wrqMisNBSz8u1DVgEFHlTSWMFS11FdDqCtrBrOWNIQKyUXYc2D4h/f48ZKJQVAg5iK30cbAFWhmxV/FTaDriMNH49KmNbnIsyncgGggHuYf9OOvfbaK7DIXHXZZulogQYBoIEF/5Fof9DtfKr9SVquNpAnTn/JB9llxxHegsomCJOSavnqsX8bdR7BlPM8xIwPGwBV7U8AC3yHRhF5/OYd5GcMKPAIuGGDH1HlJX3Ovs/lbEfS/SpXeX6gqpT3tZRlx+GfPXZoi7/vccrIlad2uLcIMfUHky319nNSs83AXJc0iPOlfBa5b+UeO3qTKqkt2qZc27T3vq7NlSnkfI33nKS8XymJe1sp9zeffjKpQeZRNz/4ZiRQJRQGgNrlJy2LMbkDFMNUuVJkMRZklWx5qRJlMfWzHiVn0RdkbCZHml/7p9ukZDEWJ4NkMczQc8lipXqe1llnHe2m2W79vRfcdML7WWm5Dnq06Sibr7dhrmxlP1+N7/owpkWNh6hzYeXVZzp+dtddd93IKt/7+VuZ8GX+4KcW+mbNFLmo1yZ5uV6x321urCgng7fdu3cPPuFLbfrBJ16k4vwBULRy1105eoz4qqrXw4Y6VuqViSWuTAFPvu+2YlBUtWA6+WJVUeVV47kSqBFFswGAUM3gQazVZ0EcoVsFJ2qIWunRFqgmo61Vqed0i/aPgrCa5t/yEYsiW5MvTLCMuj7snAZH4nxS/dW67LJZrSe4ED/lmebTrabbvLRX0zVf2NbWNPHn4QOs2p2Y1X/11VcmCy9eBUDxD2tryvrLcMeOA44DhXMgPWuGpF9+NFNA+rUnJP37L5ljt+M44DjQsDiA30cllYHQlEMwzkVJy2JoeVGmtiOsfieLSUZGU1kMOcyepIbxTtOdLLaYE39ebm1Zplm2dqHyKGy798rBrpzC8rt0x4EoDiyoXST3jg930RZ1rZ77ZuY0eX3qEtdkmu62DZsDi9K1Usgvn29Fw+Zgw+kdSmyPP/64wdPiYEX0nCDc5fQnWwncrxcNUIRbooLqKrqawWOSjSYBvjbCfERixqGCnm0KAYiaa2VNgdZigTPM2qPI9luJL6ukyJ6IJN1fu2zMz4j6HkVBvLR9sMID/wq7XR4aJlEEAHrHHXeYLESiRXsAv6RarwKkUWW4c6XjQHreHEm/42kIjvY0Jn7ytAQxk27fQVKr9ZLUpjtKaoUl5jWla4UruVQcSL/4kMgcyxxw/jxJP3e/pPY5rlRVunIdBxwH6pkDyFAAYARCwp+3msEr8Bi1EI2miso6ThaL1thRuSWO7FmsLIYGO2XgLkjvT9iw4n7nkmcbmiw2c+E8eWHyZzJi+niZPOc3WegBBx2bt5HeS68kB3TvJzd/9aYsSHvuX3LQLiv0lj7LdM2Ry512HIjPgWd++FSmzlvsoib+VXVzPjBhhGy87CrSsknDdVtUt9eNN2WW9047/P27C2LAiatvI5t2jHZZV1DB7qKycsDGY8rakCqqvN40QNEuVMLMGVKhm0jgYavStnBoI9uYS0cRJl4qhBar5qvlhNVng3t2e8Pyx03HLEwp6f4mUbb9wOE/NYq+//77qNPGxL9v374mD36iII0EzyTC9jlmTrq/euNA+uvPpPaywZJ+fojIpG88M4+5It7KtfwyVdIjXpPa68+Q2qfvkbSnieKo+jiQnjxR0u+9XKfh6ZFvSnriYm3sOiddguOA40BVcoAon5CawfPtxjIHSwxksTDq379/5pSTxTKsqLOTr+yZpCyGLKq+wOo0zEsgaGUuDSBM/BuKLDZy+kQZ/OEQefi7D2X8rJ9lXq0XUdwDQKd4oNNLU76Q/457XTbzwICOzcN9IzdN1cj+3fp5YOlGQSx1aY4DBXOga+tl5MSe24T+1mkfrI2/XIulsq45pPsmAtDvyHHAccBxwHEgHgfqRQOUphAp/dZbbzWtQtieNGmSEJkU8msd2JHG8WlExEwIoRufLwiYmEbvv//+Wf63CLLzySefGBNqrmG1G9LInubA9/fwww9nUgi2c9ddd5lj9Y3FAe0cPHiwMdEi2iYr7WizAoyi8Un0cghNShyi5yIcKj///PPG5xYCKyboQQTAGNRf3AbQTxzzUxbXYz6m/Q3TprXrsMtGFZpr0STAD6qt3cE1REzVstEewGkudVKG+pOiDCKPqTsA7tG9995rqiQKp4KaJODnCz8VG2ywgRG011hjDZNv5513NgEQGBunnHKKfPTR4mjUBB0IA8jNhe6vZBww4OdtFy8GPMNq8VwVpN98xtMgnCmpvY4Jy+XSK5QDtU957zzL353dzNqn7pSaY/+Vl38p+3q37zhQFAeaeCJK8yUBR/IqywP0HNXlAHLT008/bU5gNqULuH369KnjEwr/2Uq4oXnsscfMYdKy2JgxY+S+++7Tqkzgw3LIYgQqDCJbXrJlz0qRxVTumjt3rgk+ZAfztGUxZEYlZOTTTjvNAKINURb7cPoEuXLMi7LEk6v2fMnWk1xkmGc+/Ofl1pKurTvIiJ/Hy/dzfjUaoct6oGjvpVeU7bqsJZ1atltykdtzHEiIA307hFtOTfAA+89/C1b0+XHe755v7Frp36lnQi1xxRTLgZY1zYRfvtTMW2Bx5DjgOFD/HKg3ABRwkEjhCmZeddVVxrQd03gAMpsAGZVsh66AgQB0Q4YMMQDkU089ZaK2AwJSnmqU6rW6BcDDPNvWQtVzlKVEEAANBKAr4Jwj8tg111wj7777bqT5EOb8XB9lCg5weskll4itEal1UhemaUr43bT7i4k4oOCnn36qWcxWo6RrItEHc5FdNkCump8DQtoAKGVfccUVmeIwseKnbdBgLKTdfvvtcvTRRxuwBKH7tttuM9cBYNpaCQps4gIBAhDdcsstDZhsEry/99/3TK3/ICLWEqiKn6P64wBm77X3XRcNflrNSX/wutT27C01629mpZZul+iMOvbjmBqWriXVW3L6U+8Z9DR8Q8nTAE1/9KakNlisNRaar8pOsKB14IEHmlYnqbVfZWyo+Oam1uwjTf51Z0W1k4jqGm05TkCcimq81xg0DnlfAm4CPAKaQf6FaNJsOcWOQJu0LIYMNHr0aKo0xLHKRfUpi2n9bFno1uACtryEDFeJspi2HeAYnqlmqS2Lcd+UuPdK5ZbFAJVtv7LarkK3vy+YK/8Z91ok+GmX/eKPX8jpa+4gZ62zs53s9iuQA8zzGCtorDdkuuvb4d74DYfv7/fM3jfs0ENasEjoKJADuNtDeac+xso1G+wd2AaX6DjgOFCZHKjXNycA5E033WQ4gbYmBFhnv5wwz1HNUJPB93fooYfKSy+9ZEBJQE/Mt1599dUMMLnKKquYfQUS1Yfov/71L6N1ethhh2WVOGDAgIw2xOqrry5oQUAq+Gpm1ZjAXyk+koj8/uGHH4oN1hJY6J///Kc88MADWZqpWgbbv//97+bjvd566wkaFQjWI0aMyJQzbNgw45uLtkB2f5l4KRGtk1V7Ji9oX86atcR/H1oarOznIrtszQuICyiNY31AyDPO8Myb/zBtxi/nX//6V3NMm7mHdr1ocBDAiGjt+AtT+uKLL3TXbPfZZx9zjxSwvvjiiwXeXX/99UYLVesjM2ODMUFezPMASh3VDwfSwz1XFbOWAPJxak2/9IhIPQGgLI5o1Ft7oSROO10eT+nT8+Na++wSraswnqSfe0DSvfpJqlBNvLCCy5gOmKNjhm+EI8eBuBxYdtlljd9y8usCYNxrKyUf31K0PwHHWJQGGPN/W/nuYjIdRrb8UIgstvfeSyaMPXv2lF69emU0TMsli2ERhAUKhBXKjTfeKNUmi2Glc8QRRxgLKXiKTKfE/VZCRkP+BdAttyymMqe2rdjts55vxTmL8ovI/IhnJr9Bh9wWXMW2zV1fHAeSHivFtaY0VxMZ/vPfg7U/tcbp82fJk99/LC4wl3Kk7pZ3XC6XH3WvcimOA44DjYED9QqAAnYqAKrMBSyzicA3UZHU0U4EZLzwwguNJuJDD3nBO/4gzICIIq5E2cccc4zJi5k6Jtm2aTv5EOIV3ASUPP74483l9mo05aoGI9qmmD1hNqZAHS9ZNEEwS8dXJxqLtr8sbQ9byh00aJAAxCrwi9al8gEB9ZZbbpErr7zSXKb9VeBUy6J+gFYNEEU6k3raN3ToUKPtSn+iSMs+/fTTMxotBx98sOkLgKRdNgGnrrvuuoyJ+2677WYmRwcccIBZYVOgGU0C1Saw627RooWoedlBBx1kJpAI55SJNg1apoBZf/vb3+T888/PXArY/Oyzz5pjtv5JWiajt8M9Yvz46csvvzRAM/Vzz9Sc35+v1Mc6XqiH+1yudgT1k0mQ34/r+u+8Inkbfk2bLO8/9ZjMbrckGBhAU79+/YKqLSrNnsz57yvPlq3tUlRF3sXlvle2EEdbwoAXtLlxMRKHVvp6pPSY/lPurF40+PF3Xi8TVo93D1mEqnStyqhnEd6G8Tc3s7JzcN/scZp9tn6PaEu5x3H99rg0tUU9i7xz9LtemtqTKRV3NQCgShtttJH4I6zzLdVvtuaztyo/FCqLbb755pnisAI68sgjMwBouWQxlatoGH2vRlmM8YdMpRY4GSb7dpBRkX+hpGUxZEfV4LWrRT5n0d8vi/mfKfuaXPtoMtvaw+Qf1my8t3qe68rs89/MmiZPDXvJk3mWmLHi+qB79+7ZGSv0yP7OlPtdn6TLKvpljw97vz6+ZzxLI0eOrLe7vtAzbX+w2YRY4/fJ7z6WVt/8kjVm4zQU+Uff7XyzdDE4zrW4LAOEToLqU06vj7Fi8+Tbb7/NsqCwzxW7P0+8hazmhZWC1dz82uiYHXbJ+YwVZAIUs0pB1SBXlaLfrszScaBeAVBAQl6eAFIQwoX6f9Qu6kq0HgdtEY7RhsSU3PYtqSAlZaJlqKAiAjrHCGX//e9/DcAXVG5YmpbLS3/q1KkZrQg+GgCqhx9+uPCyO/nkk00RgElhACiCPvmjCAARgQ6hFGJFXwFZPlYIBOq3i/PaX7YAmJxHI0N9aJEnjODlrrvuatwKaB67bNIAA6699toM+Kn5ADkwIwX4ZR+TK8yquL9oHagWLvmZYAEcQxpAYZdddjH3Qz9MgM8EaMCUHvMz+gogilYpfmFtczxTkO+P+gBkgwjfrJRJXbZGRFDe+khD+FABpD7qi6rjwQcfNBNPDU6meacP/qtIiyWTAU3Ptb3s1MHy2NjFWjTkBZhHy5d7G8dHbq7yg8777yvPJh/jpKgSxoz2Rc1v9Vi3zzzzjPH/xsJILlquTUsZc6Rn7tc83v3t/OUI2fq0f8qE32fnKlr22GMP4dlmkaQayP8s8n5KEgCtlLHDxLFS2lIN4yJOG/3PIiBiNQjqLDaiyYp7HyjI/L3Uspj6hI/DZ83jZLHcsljbtm2NOyE0e/khd9uKAcpL8iklLYsha0XJYrQHmTbofRSUpu30b4d5FlMvv/yykSMz5zwAeK/Xb5KaJjWZpLg7R/7jJJny/ueZ7Cht8D3Db241kV8eqs+28+30L6YUUz/vWBvctcvKZ6zY18XdZy7GHJO5Zn3RWofsLL2P2j1WdYtSabn0rUfknXNviZU/iUzMMVFM2XHHHYsujjme7Vql2AIZK/bitl1eqceKXdf9998vWBPwfioFNWvbSv76gueerAACD/nulQ8KuDL3JXxrzj77bIO9YCWbJDFWHDkOJMmBxAHQm2++OdM+/EH6CTN4BUAB1Wzio60vDEzWt9pqKwM4YuLuJyapmE0pAIqmJwAgQJyaxeo1mLPjLxBBiQ8aJvQnnniiOe2fwOg19hYNTUy/u3XrZkzOMelGeGRlWF/edjkKbAHCEMkc0FV9jQ7ytD/9xIo4+RBW9Tz+RhUAtVe3FdwAcEWr0t9f+IvPU84D1qKdStkAok888YS/anNsr/7973//M+bolM1KERoQfFBuuOEGox1Luk1hYC7CLYGvIPimdXC9rg6z37FjRwPm8nLjHkHq0B8XAdw7+gAASn8cJc8BPtS2PzCtoWXT/CcQXNuyafaHCjcNCAQ8L6UCQLXNjXmLhnSQ9nUQTy7Zsre0jQl+cj339PKt15d9nnynTnHtmjeVjq1ayLe/LXbDgWsQqFoA0DodcgmOA1XOgY033th897UbQTIUoA7fdcjvhz1MFtPy7G2hshjvCeQ3XWywZSi7fHu/UFmMhVR+uWQxAjzya6iyGPKiujXQhWj4W62yGIvq/rFd06xJQeAnfGji+yYi67NAXG0AKH1xVDwHcPWlFmjFl5a7hJYd28vaB+2UO6OVo+s2f5JOj7wmU0fFs/yxLi1o95133jHKKUkAoAU1oAouYp7ON6SxEZajzPWQJ5IGQBsbL5PqL24KwVz82E1S5VdzOYkDoLmYge8pFboB6mxVekA7zFkAy3iQ0GiyhWJd/dc6bJNd/DRhfq6+RYmErkAa+VUbDGCOgD2sVMQlygFchQArN9lkEwMKUg4CEj87aE/YChTXB0WkRzOHjyzXMRlga/dt/PjxXGrAQAV3dWtOWH8EHIKvEKvw+CwF+EUrNQ4BNmoQJzR077zzTrNSD3iKo3r4yuQKjU5ecJdffrm5hzjd90+itD40Q+ERRPR4m+AnRFmAoGh76ocD/1SQgqdRfCUfDzhBo/wEcGpHutfy/PlKfcykUvtAXytlRQuXCQQUe/7557NY8JvMlU4RTtizMlsH6262hQzqtwQERRugFCvo8BKeQjw3CqxzbO9zXCyVa8xou3n3qekX76MgLTM0qhBO7WjKer297dG0Vg5cJjjasZ3Pv7/HGl3l4iMPkrELltxb8uzVdoF0aVIr//lt8eLInnvuafz1+q+vpOOoZ1EBmSTay30q99hR6wH6U+62JMHTcpcR9SwGPZflbm9Y/aWSxQh2qXIYcpb/m1/JshiL88ggfFuqSRajzfAcWQvtrDC/xrbWp/++JCmLEWQrSBZDJsXSBP4i/+j7qNB3FAE0sULSOYWO9TlzF3jCejzrBr2G7XYb9Zea1RbHAeCYRXyUH6qBouSh+mx/0u9A5B1bVi50rBTCA1yP4S6EcVYfNH+r1WSRt5icL2174bHS4vFRsb0+IEsyXiDuVz4yz6BBg2TDDTfMt4mB+fOpN7AAXyJjReVkTtXnWLGbwlz50UcfrbM4Y+cpZj/dvIk3OyuMcCPXtOti69I4JeQzVsAlzjnnnDjF5p0n6bGSdwOq5ALGPCA08WnAkaZPn26ecRY/+ebjemjgwIGBc8gq6WJizax3ABTAE6AMs2kitAWZ5nAD1Qem3VNMsnhpY7KNnwkbJFTzc82Pv88wwsl9PgAo5TDpAUhkRRCgFkHOfrmG1WWns+KuGqN2OuYdl156qUlCCEVjzu6bgpdhoKddlp2HNjIZ0bLtfHH2ASXR0iUQEubluBBAm5QfhEYfPkcxo+Nljz9WndzY5WNSr+brYb4glS/33HOPuRQgFpAViitQIdwHCSpMDNBkhQDGgtpoTpb4D/6pdjBgrQr/Ja42VvG4iOBnU+2jt0r6/VfspNz7zVvIP268TVJN85985C48OwfPpAKgpb6v5Roz2mPMd7SvTG7DhAFMWYPMWbUcI8zceK63OvKVJuW1PX3t5aTmxEsl5QHOUNrz+Vp79ameU9tauePMkyS1erTf4bwqK2Hm+noWeXeVe+zod4oxU+62lPCW1lvRcZ/FemtQgRWVShY79VTvfRCTKk0WQ6NQg01inYL7oWqQxZCXWJCHUBoAFAwiZFeI7yWBNIMoCVkM2TFIFkOpQWU8wAp9H9kLUpoW1LagNOYC//d//5d16rqxr8jwaUviAWSdDDlo17Sl3HzFDVLjvbOrkZhHII9DAIb58rFS+6zAvLavmLGiZeSzZQ7lH1/5XB8377gZP8m5nz4ZN3tWvnTHNnLQpafLtl3WykoPO4CHahLOc2hrg4ddUw3p/oUfe7Gyvp8HYl3wKwXNWjhPDn//7oKKxlp2046rxr62oY6V2AyooowfffSRiXmjgRy16cz7wGD4AYyCpZ133nmNXku33gFQbgirqgCgQeCn3rCgLeAnN44fJvIaLImJHS9wwCWd7AGGhQFnKiQE1RGUBsDHarb6y7LzADgC6BIhHfOqKPK/nIPyquaars6RB21YKM4L3K6DSX6xRPAjPv4EigIAticDqplKHbSR4FRoH6ANaqtbq0YngrXfLFYBQQDWc889N+MCAZMje9W32H646/PnQGrTHSQ9wnM/4b0841Jqo+3qBfyM2x6XL5sD6Y/eKhj8NCVNnuiB4q9KauPtzGHtU96ChTfxgmqfultqTrpcUt7ky5HjgONA5XOgVLKYylhMrv0Ahs0VzWenRe3Xpyym7a4GWUzBT3iH73dkYrS0kEvt9gMIQMiztqxIWkOSxXZavlfeAOifl1u7asFP7p+j6uUAAMVd39Z1L5RPjx6c+IFssuyq0rpp83wuc3kdBxwHEuYAQCQ/3P+pK8CEq6hTHJqep512msFiwL7wX43FMRgVIDYW0rQJa2V+uARCaQ0ZrbFSWQBQVLDRLOSlr7T22msbn5OAZESKV/CLFfgTTjjBZAPU1FUrVpdR5+WmYmKLCS/+K9X8k22HDksiUWs9hWzxq6eCI34pMQFnVZCfrpyxsq4AqN0vuz47KJCdjrCK704IrVhoxRVXNFv+UF0GbCTCcy6y82CGlAShXUDUen5oc8IPfmhW2iAr5rf86I8tXMMP7t0FF1xg/HnabeLBhLiP/CACSKGi7ai8HEgtv7KkNh8g6TeeiteQZbtIatv8zcXSXiTy9Jcfi/wyDdUFkWWXk9Sa60uqbft49bpcsTiQnj9X0s/dHytvVKb0iw9Ker1NFgOpY6zoqD99L+nhL0qqf34+rKLqcucaJwfS47+U9KjCJoQ1ux3aOJlWQK9LIYthDaJCPz4789EIzdWFUstiAIYqi2nQxmqTxbAgQobmh3zKsU3IV0ceeaSdZPYbkiy2ersusp2nDffylMWul+p01pewUutlZJcVe/tS3aHjQP1w4M2p4+SrmcXFOPh9wVx5dNJIOaj7xvXTaFdLLA58N2t67PeQv8B9Vt7QAdp+plTBMZbCGuTx0EMPNX7Fo5oNHvbII48Yq4mtvNg3hRDuCFFEI87GFVdcIausskpgMeA2yGRoiWIqf8ghhwTmawyJZQFAiT7ap08fGTlyyeRZtTkRnEHNlWxNQoLkoOEJSMhqtfoHxW9oKQLkANpRj4KfBE4K8mtEW1VLk317xZ1jJdpOPvxy2gRgiPYj5zQSty1049dJAVDKJn8YKYjIeficNOE6AC1OfoCfPHRohkKAnqTRRhzvKukDCZDrJ9V4JZ19TORRzY7qo78Md1w6DqR22k9kzkxPE3QxMB9akwd+1hx2hqRatQnN4j+R/nWa0RqU0e/7T0naG+OpfttKauf9JdWiVZ3zLiF/DqQ/8yI/tvcWhfgVSbWjhou8/VydUtIvPyLpPv0l1aZdnXMuwXEgLgfSP3qaxu+8EDd7dj4HgGbzI+LIyWLZshh+UflVuyymt9yWw0jD7D3MH3dDk8UG9dhUZi2al1MTFNP3U9fYXlo2abyaMDpe3Lb+OVDrKYi8P328rNq2U87K5y9aKN/N+aVOvtZNmsvyrdoLZvQzPCC0XbPFsRXqZHQJ9c6BKfNmyAs/fl5Qvbuv1Edai9PoLYh5FXIRFrQEHjz//PNDtS3BmMCacGNSCHEdrglRHMTlYRj4SdnEcTnrrLPk7LPPNpa9DgAthONFXoN6rg2AqglPlP86bi6m0aolqdqgNMUfCdLfPMyziaYOgMdAxL8TZJvJ25qb+GckmNCgQYNMUB6Od999d3+xmeNRo0Zl9sMAUDLgf+Evf/lLJq+9o8GLSEMTQQlfmwxuAFTM/7fffns9lbVlBV8D2dBeTPPVrCkrY4wD+sADgnN9Jklo1/oJwBPtXO4HDyDC9Zlnnmm0RBG81S8rYHcQ+El5CnADkt52221ZmqP++txx/XMAX4+pPY+W2p69Jf3SwyJTf8huhOfz05i9e5qfeYGfP0yQ2tsvFpm52L1DdqHekTf+0u++JOlvv5CaI8+RVLtktJnr1NOIEmo8YFL4JUC1bz0raU/jsw7NmSXpFx+S1MDD65xyCY4DjgOVx4GkZTEiu0eRk8WiuFP3XCGyGP7TBw8ebHyYIgti7gbZygX+mhqaLNbUk13QAv3g5wmyIB0+sZyxcK7c+NUwOWvtnR0I6h8U7rjkHMDn7Klr/jlWPRd99mwgADp70XzZs2tf6bNM11jluEyOA44DpedAz549Zdy4cSaANEp6aGZisZw04ZoQfIgg2NSZi1A0vPDCC41LQ3Aje/Ez17UN6XxZNEBhIKZXV199dUZbEgBNnfJHMZho7Msss4zx/4nPA92/4447ZIcddsi6lBuLdiLgoZozAXKiMaoAqAp9XIhfUvwnEeWdqPKQaiIyuAhGBDAJWo/qMER7EDDVcT5pY8eOlYsvvtg4nKU+1VTlHA7gKd82z0fARV0aFWgIMJBJiRJRKDmHdiWq0m+//bZZUaDvmOHj54HIXkQ6V+e3mOrjMzRfAPS6664zzvQpm/5i8s4P03bK9BPmVbpqAbhMsCHaoOZUmp+ATApcEyUa0ywiw3MvIPhsm83rdfaWMrk/8Bw3BI7qjwM1mDx7v/SUSSKYOi9cIKn2nobxyqvl7fMzPXum1N55eTj4aXfLq6/2nqul5m8XZALv6Gl8CKuZAeOBceWo9BxIz5oh6ZcfDa0o/d7Lkt7kz5JarnKF8WHDhpnFJDrBohqBNBw5DsThAN969V+O5YbfoiNOGZWUJ2lZjG+0n3ARhByGCTtyFoTQbfs1rwRZTH1kVbsshjyFCTyKBf7FZ9xFITsjy2JVBZVbFrvxxhsNWItCApPEJOinuTPk6jEvRYKfWs9YT3PuxnHD5O9rBisXaD63LT8H/vOf/5jxi0LMZZddVv4G1VMLRnhaop/+FrDo/Ef994wfLuu2X1EA/h0t5gDzWVzP4ecwTPO9GnnVoqapHLXq5gU1PY6mcUEFu4vqcGDAgAHGBzrvKRT+cCN4/fXX1/km17kwzwQwGsgOgh1VBO9OXBsCnGLtUgpr4aj6K+Vc2QBQ/FMC3H3++RLVcEA/WyMziEmcV1CSm8jKNi82QEZbgxK0HYewgJE24SOTQYgK8I477mjKAoxDY5G8/HAQC4DJxGadddYxCD5l3HzzzXL88ccbYBBtRYjI2UOHDs0EXyINHwthRBSuk046ydQPyEp/0Ey1o9Yfe+yxWYg8vEKbk8kDL3O0QJUAJiHAR30IMN2nnXEIUPHTTz/NZA3T3rjmmmsMaLneeutl8sIr+6Py+OOPZ87ZOx9//LEJjKQ8I1ASPKedCoAGBZiyy2CftlJGoVHt/eW54/w5kOqykoj3S+V/aeaK9GtPeD4jfs4c59yZMFbSI9+U1J+2zMoKQH/VVVeZNHyaOQA0iz0lO0DDUzxNz1DyFn1qh94lTY46JzRLuU+gia9jB811B4CW+45UT/0PPvhgZkGVb3m1A6ClkMX0brI4ysIsC7f+RVEWSnErxDlkAeS6cstiyJC2HFmtstjw4Z6Lkj/oyy+/1F0DHCGnoZWCJZICoOWWxZDrNFhmUgDokIkjPBP4+Zm+59rBDPnTX7+XdZde4n8/1zXufP1zACULZD8WUBoLALqwdpHcO/69SGb/MMdzofbjZ7LzCutG5mtMJxkrzLlRrrHnqtXOg6Y1TWSbLmtWezcafPtREEPBokuXLsY6lvcWPkFR/gNbSopUoQ+L3TiEMh3yF9/9xgp+wqeyAaBUjr9HGwANM+0mrxK+FBQswzcmYBrahQ888ECWs3cAEduknetZ8WaAkM7LEO2DLbbYwvhEsIE/NBTQssSBP2Ap2qOsmL/77rvmp9FBKZPJEMeHH3643HnnnUYbElATrU20M9HuHDJkSEYzk2vQhqB9BHyC7EioaDeqUGpOen9ouQF++gkBgLrQSFXwkzIvuugi88D58wcdUzZaD0oEAADkpL8AuWraT/mAqvAMTV18tmpQJ9qgvF5ppZVkq622MqsLPOQQD73uaz1suX9ofaClijsDQGgmQFGEZirmXY6qkwNpTNs/iDaRDOqZ8UHqA0CD8rm00nIgPdnzzehpeOakr0dL+rMRklpnw5xZXQbHAceB8nIgaVkMuQd6+umnzc/fO+QU5B7AuVNOOcUEkESewT9Vpchi++23X9XJYspnZDLM3NZdd10jp91+++3mFHKtLb9q/oYmi81eOF/e+/kb7V7s7atTxjgANDa3XMb64sCzk0fLlLm/56zuke9GSv9OPWUp5wM0J69cBseBUnNALXDBdFjkwy0gVhlHH320wWmwvkmCcG3DQjxYGG4QUe6LInAfMJs45vJR5VT7ubICoPiGBDSEANYA/6IIDQJ7FQehHUEPLVBMwNHqBLiDFJBjv2/fvgZ1B9jDJB4fVAjoDz30kAFA8VsJUv/hhx9mtBQw1wIABXDD5III7wiPkEbVRAOVgY0WAyCimoJTN/5Cu3fvbvKDtAOCKqFxgUm9DXzqOf+ABIwF3IXgD1puaIsCKvo1KsjTo0cPE2CK/Vxkl6154SUAJzTI838KwEv/ldC0pW4I8JKVB1bYIO7BOeecY+4l/VPQ09YuMBmtPyZCvCTgGWapQf5RNQgVlwHQMlEKIlS5Aaz9BLCKWwFAXMoK4rv/mlIc66SQslmB0ZdjKeqq1DJTnvl8q9kz8m5eesKXMsO7v56aUOZam3/w1r6vmLwETfQyF+e5Y5ed56WJZNd3C9rpZ5xxRiJlFlLIjX1Xkg07tI516cT/XSJ7v4P/tXSs/Eln4r28xx57BBar/OSk/12MtkDYOyawsIhE3mu2r+qIrCU/5X9GkqiQRcF//OMfSRSVVcZfV2ovZ67VJSst7kEptHkxF3r4Yc8Hske2bMG3xX43sICnFipx21sJ+ZKUxXDxE2aBorIYcg7PJwAoi+DIIty3SpLF/AEvbXmpEmUxxiXvMt5f+PdSN0GkKQDKO8B2yWSPvSRlMSZi6gPergOLH2QxZEb/e1fz2c+TpsXdsmgPoN56ra6y0nED4l6Wyffm15/KXfudZhQImB9UE9nvJeYGxfCxmH6rJncxZdjX8o61ZWe7n+Xqo92+XPvcCxYjCqUm7VpJj/P3l5qWzXMWgS/Qva85Q34a8kbOvDYfmUcrDRw40Fgp6nEpt6UeK3bbkxgrKFCh7JQPtVm3u6x49E75XJLJy3x30e+zM8e5dpBbbQvRXPnjnLfHSTnfK+At1UY277D4xT0Q38UxY8YYC2Wise+9996hwZHi9pf5Lkp3BFxCAQ4cDKwI94w28QyQB1eM0AEHHGCfbnT7wUhSQmzAZDyKbG0/VqptbVC9DpADUA2BClNzNZlGbdcGu1AnRhv0vvvuM5ciYCMIEU0dwFGJIEsAiphv4/cIoh1XXnmlERgALhHM7Ekrq+OYXaP1SPmAghAougKWWhYvoBdeeCFr4B133HHCDyEUIZo2HXPMMQaQo0w0RcMCLBFlnYeIh/+CCy4QNCxB9wHQ8EPGQGdyBsAKuEv5+NokkqmfUMWmXiW7bEBVyvYTJv7qxJdzRxxxhIkwBk8QZNGSgAA5mbyoTy8ePEBk6LPPPss44TcJ1h/8JKI8oDJ8CwJAmTSpD1fucRjxcsadQBABhvGxhZc2+BGUtz7SKqUd9dFXu44mMxb7fLXT4uynvPtW6wVMSrdZ4kDa/rhQhn1fk/5Y2mXHaW8p8rAg8eKLL5pnvxTl5ypz954reuDn6rmyZc6v1Lq5bNVstlz+3phMWn3usJjDIoy+O8Lq9j+L/nEVdl2cdH/Zca4pZZ4kx/HBBx9svjl8i5KmDdOrihQIgNoWDUm1iwki321146LlMjFPkqdabtLb+pTFcMRvE8+hBkK0ZTFMwXQxB/kJALTcshiWNmHAly0vVZosBv9w2wTtu+++GfCTY1sWQyZmES2IkpTFeCdEyWI8T2HPTqHPE7Lps88+a76P3bu0kLrSbFCvs9NqPLCJ94f9vANCVBuV87uT5PcTvoeNE84VOla4tj6IOSKLEfZ8Mt96NzzrkFjgp5a71CZryXu3Piq/fjVJk/La8tzihoI5d7UR48EGy+32FztWTj/9dDP/D1tAsuuy91doUyuFOtXgXsz9OSRQrF2JtY+cgqJYKcCtcr5XrC5W7S4KY7wTwLSwdOE5YzHQD1QW0kG0SrGQBkfBZSFAJ9Hg8QvKfaMeAHwWlCAU/JLSQC2kvZVwTUEAKCCkakMChOGfslhC8Awy8w4ql0HEALIBVH8+QLUwHwsMCgBQgE4AVnW+zwo4wCEDCNNvVJUBF5XQBlV/mQCfCn5yHhATAoS74YYbjAaElmtOeH/+lSPqg7gmiEDrVduSAE82QMkqv92/o446ykxGKQc+KgBqa8mpdix5osrmvE20G55AkydPlkMOOcTsA8DywEEAuNofk2D90U5M24J8owKY8hBSPr5C/TynGK0bfiufreLdbhVxIN2iVcGtLebagiutoAvPO+88E0BNQYP6bFrzJjVy+dbr513lWZusLXeNHi9TZs3N+9piL8DNCIs+jkrDAUAgtP2wvGjoxIIrGqBYWNgWEeXud6XLYgR7DJuIIYcpqTsdPS6XLKYuf7Qduo2SlypBFlNgnokUi9ZhxCJaGABa7bLY2Wefbd5HaNXMn1nYosyCWYuvY44BEM7z7shxoFAOMC/Cx3ihIPoya6wsPXbeNK/qazxZrc/gfeS1Exb7x8/rYi8zSiiDBw/O97IGnx+rBqxOkSsrlVDyQVEMXMZRZXIAZSwWU8GJUDwjoHYUlhW3Fyj9sNjCloVAZEMCL/kJbVHkAMVx/Ocb03FBACiglwaiAUVOAgDNxXRWZJmEUN+BBx6YM2I42olhZGshsFJtA5W8/AHcQMxfeumlLOGdFTHVUvVrIuKXEuETUPWJJ54wZQD6YYbEOZzg5kvjx4/PXOLXqsic+GMHlJ9+MejtlTtbO0fBVC5JomzVeqW8XMAk6t9BACjXFspzrrWJyRZuDPzEij4gK/eUh79cQSvQclVAmklTEqs+/r5W+nG61eqSbtrMQ/0X5NfUTitI+2U7Zl1jm7jz4S/lfS1l2VmdCjlAgwDAAC0XVvrob31Ss7eflebDvOBVeVLb5s1k/M2XyvxdDs3zyuKzMz543oPI1hDmOSzV/S31uAzqmz8N1yAQbQlbpPJfE+cYrT6+/Vg3JE1NP3xd5PnF1hz5lq39zfe6qPzwToVUZBElLB9KNXa0jqhtpcti+chh/n4WKhc0ZlkMOVPHqZ+fHCOHRVGhPPeXyWJ1kCyGbI1rAWQx5O6gZycozV9+0DFAE5ZkABQ/z58lZ459OihbZNp6y/eQu7z3pf28R15QQSfRcFNNQ757ao1VQU0sqCm8Y22y37+FjhW7vFLu0z5iTxT6Tbrsm1fk69nT8m5i5w3WkFcnjpa+7YOBsKixgjxkz4nzrryMF0TJN8WOFd4tKPNgspwPffz793LjxLfyuSSTFxcxSzeLrzTCs+F/XjKFFbiDgpZqDZb7vaLxXwrsSsVcxveFRQaAasBQ5W+xDaRcFBNwY/Hqq68aLAgrY9LxE8oPK2gHkC/mdEEAaLE3Keh6hJeglWuAIiKco4kZNpkNKm+FFVYISjZp9gcUQcwm2gGYiKYj5qa29oJqIjJ59gdsQvAkminaWWgzADxiAq5m4N27dzdamQCnlB+HbMASHuQi+uwHQMOuSaJsW6M0V5+izhfKc3/fwl7+jCG9z+Sx77+/jPo6rpR21Fd/tZ6UpwFau1ZfSX/6ribF2qbW3zTnfSvlfS1l2XEYoPXz7llqqaXqFQBN//6L1L7zXJxmBuZp9slwabHFAEl1XawlH5ipjImlfhb13pWxi5mqk24LLl8Yj0lTbauWkv1ljl9DKdoTVnupx05YvaVMT1IWiyuHBfWnULmgMcpiTHKgKDmL8wAbWDJpftJsKpTndhnsM+EKmoizKJVLFivmHaXvo6VkKVl9cmcZO+Mnf9Mij7dYbo2SvM8iK03opJ9v/uOEqqn3YqL6EXWu3hsaUWEh36S3p35VEPipzXjsp09ksxXXkOY1daf5gFrKO+bVUYsmWl41bLVPQW2NOheUPyhN5e+gc2FprRcufjeHnY9KB9Bdqnk8n/tR5RRzzs83/3ExZTf2a/HbicsC/OgnBYJyf/iO84silOBGjBhhFiSj8jXkc/WrRhTBSYTW/v371/nh/5EBkg/4STX55temMXhUuxMTb3wmQAhtCoBuuummWX5F9VpWiPC7gG8rP8LOYOMcasd2lFO9NmhrrxrG+UCpRpyt9RlULmlJlB3mayWoTgTTMCqG52FluvTycsBEe/f8faZnz6zTkNSf9xJpEj4e6lzQbmlJ9d+5TrJLqB8OpJ/3grDNn1dUZbVD78xMfIsqyF1clRxIL5gv6ek/xf7JrPwDpVUlYyqw0UnKYoXKYbClGLmgMcliyGEKKsYZTo1FFtuvmxckNQ5D/sizYqulZcvO0RqyeRTnsjoOFMyBeYsWyv0Tgn31xi106ryZ8vQPn8bN3qDzpb3l1J/m/p73b/bC+Q2aL65zpeEACmsAkFELwFozFit33323CV7Uq1cvTS7JFguBxx9/3MTPwRLjkUceKUk91VJoHihEtXSp+HYCgN5xxx2mIAILYcKAb6gpU6aYNAVIg2pCU5XgTPyIOq6+TTH/Bpjkh//S//3vf1k+PIPKsh8e6kaojyJtn23iH5Y/ibJtn6T47rR9kvrrhRdRVAzPo8p15+qXA+mvP5PaN54R+coTvNTMvXU7Sa3zJ0lttZukOi4nqc4rSmrPoyX90I2sLEQ3sFkLqTnoFEm1LO8qaHQjG+7Z9MSvJP3hG8V3cOI4SX/8tqT69C++LFdC9XHgu6+k9uYLq6/drsVl5UAxckFjkcXQtkSew/URclgUofk1bVq0SW0xPI+qu77PrbXU8rJ/t43kvgnv5ay6XdMWcsqa20uTVMXohORss8vQcDkw9PtRxo1DsT18ctLHspUH6ndo3qbYoqr6+gXeItGJIx/Muw+HdN9EdlqhtKBU3o1yF1Q8B3bddVfhF5dwFRTlLihuOUH5WBzFHc1TTz0lr7zySsYNH3kbipuUoH7HSXMAaACXQO/RPGXQoK1JFFM1ZQdcJPBDHKIcgjHxA/jE1wOAKvTOO+9EAobksbVIMcmPIny6KACKA/dclETZNgD63XffRVZJBLIoSornUXW4c6XjQNqbWKWfuF3SI16rW8nsGSYdIC212yCp2Xh7qdlgc0m3aiO1j97qReQKMRHpspLU7HuCpFboVrdMl1I/HGi7lKSOPl/Sj94iMi3gHdRtdanZ+YB4bfHutyPHAccBx4G4HEhKLmgMshgAKAvNCxYsCLWAwmdsLm3RpHge9x6XMt8uK/aW9p4PvbvGD5dZC4OtGFZr21lOWH1r6dIyeVcepeybK7vhcuBPHbpJ76ULjR2ezZeavPSgs691R44DjgPVyQFkAUDPp59+OhOsmp7gBmerrbYyls5onzZmKgkACnC1HLyHAABAAElEQVQ4evRo42sIFHz27NlGE5JgNERfx0H6BhtsYM4r8xHK3n33XRO1ikjr+A8isA5+QfFZ5KegOuzgPzfddJNgqr7hhhtmfBEBEuLzgHYo3XXXXcYs3V8HjmKpY9KkSfLMM8/IW2+9ZS7B96dtQoQpOSrFBExCvRgfTGh3QtRHlC+IIDwnnHCCvPbaayadMimfPoY5pgdgxOcI5WB+TyRB6sGcnr7SZq5fc801jf8IjSZP8KVclETZRMgEbEWj4MknnxTUt2kfPMMsa+211zb3mTYOGzYs0yTGA0QQJY1ICqhMgCvl+bfffpvFc8YH9wpaY401THApc+D+KoIDaHOmR70T3ZbaRZJ+/Hap9dxM1Gy0naTW2kBqTr/WaAamx44S+WWq5zysyWIt0bW9MbzOhpLytFvCCN+uOHWG4oD+YeW49HAOpDp0FrR6A8FPLpsw1jOPnyup1dcLL6QCz7CQpWMnjnuRCuxC42lSBy+AYIQLlfpmBACRjh1bFqjvdsSpL0hOwiolKVnMlnG23npro8WgboNo3/Dhw02UUxaU+W4rIZy/8cYbemgCJLLYjJzkpyRkMeUDzz0L0gSSI0gAcgry29dff23ksLAgC0nIS/5+6XESZTORYVGdQIuPPfaYkRmRwdEIpXysc7g/tsmbLpjTjnLLYrTR9kuovEliu0XnntK3w8ryludT8dNfvzeadc09OWMFz+S937I9pM8ywYFikqjblZE8BxgrUDHuNZJvVbIl9mibW4kl2RobZmmMFb7Rv9bkGXQ1QXa0atJMcK9RCDmN9EK4VlnXgIeAA+FSEdyGOC24dUQJjSCi++23X86g3nF7RJBlMCaAT8VWuBYrkX79+smOO+5o5IDGrvmp/CwJAArIeN999xlwDhDy5JNPNqCdVvrZZ5+ZSOndvcBASpiYE3TIJgDRoUOHGs1Jv2+EXHU8//zzwg9w8L///a8ZABdeeKEZHHYdjz76qKkX7Uy7DhtEfOCBBzIIOiCdTQzm22+/PZNEYCAEUfrN5OC2224z51BvRugnDULQ5gcvwgifnvhpGDJkiBC0aN999zVCop2fuiA7ovg222xjZwncT6Js6sSn6VVXXWUEbaKa2fTJJ5+YtuNTTMFZzquPUkBu5Q8TkLPPPtuUBUCKTwy0FSB4zkRK81566aUm3f1VBgdqP34nN/hpNTX9pOcP0gPMUst0klTzFpLq541XfnnSxhtvLB9//LG5yh7/eRbjskdwID1vjqSfHxKRQ6T2qbul5qTLJeUt1lQLHX/88SZaMO11wkBl37WaQadJytMGrxTie6/fs0KCW9RnP3LJScXKYraMw4Io4Or111+f6SIAHIvR0L///W8DcCIXnHrqqRk5gHNYkOAaaNttt5ULLriApAwlIYspH5A5kY/OOussA35SyYwZM+Ttt982P/yOBlES8lJQuaQlUfYuu+xiZG74jbxra3kSSRjTN3zQ6+Iz9doAaLllMeT8fHzK0/58qI1n4r7D8uuYXz7XubyVx4Fnn322pGOl8nrsWlQoB1Ac4l147OePiOcpudBiirpunfYryFV9vLgHjhoVB/ie3XLLLQbLwCrDJoBQfsgdYFB///vfjexj58l3/5JLLjGKcnYwJZTQdthhB6M855SE6nK0pm5ScilEQz/uuOMM+AnaDZi3//77G/SbWtBkVEIYQxMSkA+tT/WHgHB65ZVXhn7w7DqImKaElgY0ZswYufrqq41wDTJOHYCiNgXVgZqwkkZMxxcov1x0ww03GJ+hdj5AzBtv9Hwe/kF77rmniSSfy18nAZUQkCEmXQA9+Gg67bTTjJ9Rbc/8+YudNXMOjcs4lETZgJM2r9gH/D3ggAOME2BWHmxB224XY0L9mvIioH9oe0DqKkB5DpgNofXa2NW2DSMq6C/96mP5tcZz8J5+4+n8rnG5y8KB9MvevZ35W3TdP30v6eHZi1fRF7izjgOOA/XJAVtOKpUs9vDDDxvw016MQtNB6eKLLzYL2gj7TA4AO5WQEyCAOn+QSFu+KFYWw0rn8MMPl3HjxmnVRiNUF79t4DCT4Y+dJOQlf5l6XGzZaMOp7KR9QA7cY489zASIyQ9yri7Aa726dbKYcsJtHQccBxwHHAccB4rjAJgPi+WAn+A8WPDuvffeplCUwjbffHNjncyi5ZlnnplR5im0Viw/AD+xGkYxDS1QrGbB3Bz4GczVkmiAalVTp3omrR4h3BEUSImbc/DBB2cBYwhrt956q9HUJN9RRx0lJ554otGQRDsQgdU2odKy7DoAAdE8ha699lpBIxHwDXNzaNCgQaYtmKgDjEKUyQp5VB0mo/cHuBhFqDOj3YDKMxpGtmbR559/bi5lcoD2gQr/v/zyi9FEUpAQDVKbMCfDrEmJPj733HPGhA3ze9Wm1PNajh5HbZMomxU21K6V2EcrVTVTScdU2W6nPUECQMXlAf0a5pnJc4w2gBI8p59ogEK8RMLMDinDr0XMNaieA47zcmACQL5ykD35UA2icrQjbp08cyNHjozM3mb+bNltyqTIPEEnZ454XZ78PffrB5X99u3bBxWRNZljQm3fVybUYeMksLAciXbZObKW5LStHcMHNUxTqdDK0cCyn1nKaTtvlvzlq9cljl7nvGful6HjfpD5TZtnNYFJ+bLLLpuVVgkHUc8i40YBmWLbChjhX/0ttsxCr6ctSY1jzGujrBf8bew862dZvLTlP5P7mO/B7y2XLG7muqJPnz6hbmVyXRvnvP0swk97rABEJf1sxmlTrjy2nFQqWQxtfJ51ND5V0Ed7k8Xe6667zmgfXnHFFcZNEFYjnTp1MoAnbcdVEdqjEBpeQabw5uQff/nKYmouawcAAlhl4qGy2P3335/RVrXr0v0k5CUty78ttmzGIfKTTci0/JTggf0usscteZKUxQBb/UA2deB6AVkMINqWxRS0JU9S7yjKakxkv5f88lB98oH3nz5vSdTLmLXHh73vxkphHG4sYwXuMH82YyZYuT+SgRMmTpD5HVePzNPQT9qycrnfK9XCa+ZTqvCGG8iTTjrJfPdwAfnQQw8Z83cU87Agvuiii8y3+/zzzzcWs+AlhRCuvBTjwIIWLIr5F5hJLkW7QuprCNfkRiCK7CXaegCgNgEMIsDeeeedmWQAUFsgAyQ76KCD5IwzzjB5CKITBIByUuu4+eabM+UxiOw68DtKO+w6yIxWKqZZUFQdoOr4/4wi/FhiinTPPfcY9Wbb3Ijr6CPgp+3zE41GtGTPO+88U7QfAMU0H6LdTApwCwCYiDm9EnyBXwCJAFZouuLvKRclUbb6OOXh434BJvPjQVxrrbXMvUHj9phjjsk0xwaGMUdjcsRHCjAV8zm0f1EPV56jFaKAYdTEB6H7lFNOydRj7+CblTJ5mfvvi52vvvYR3CpZeEN1H3+uqokbxpftunWR3fbZKux0aHrr+XPkcG9BguiMUcRknecOIDSKGB86RsjH85AkAFoJY0b7by8maFoxWyb+LBzgx9emxwb2lyY9l2hw2ef8+81rF8jU+2+UE17OBswPPPBA8wHmvVip5H8WeZf5vxOFth3Bu1LGTlJtueaaa8y7QRel4vBmi66dZLv98ndzQdnIAGOmz4hTjcmD0McPP4+lJntxkrowia9EAJS2qZzEvlLSshiylH/Bg2cfs2x9P7M4jMahzTuimCMXMUHIFTBR5QLtQ9DWL4v5gT98YjIpsWUxNCVwd8SkJIiSkJeCyiWt2LLxZ6oug5hwAe6yyA8AiuyDKRygNJMu9YHvB6mSlMVoS5QsxqI09yTo3RiUFsY3lx7MgXLKuXw7/WMruJXxUnlP2CCMfZUbKzY3Ctsv51jhXZ7kWEE2tsFd/Ewj2y7aex2p8Ra286VHHn5EJg59W04//fR8L22Q+cs9VqqFqWAwKIMR6wbXfmHzCYBJAFAsZsd7FtF8m7GgLYSwkh3mLYKi+YnLH8rixzd/s802MwucaJ3aCmiF1NOQrsn/jZBn71lVDpoQIPAqYZI0yAND/NS5c+dMkmowZBKsHa2DaO38lOw6tthii8wgPPbYY4UfZJtCRdXBoPQHStJ6dEs/AWrwuYCmAZqgaLFCCPw24KvXsLWBXYIFKAHoqckX5aKtwCQW8JMgQQi59BEBlyjxqnWBJoUCoDbyj2aMUhJlI8Sq0D1w4EDzEGv5/m2HDh1EwV0+ekpMwAB2AT/RIEEdXD+IynPOQYDYgMiOSs8Bxq6tLRNWY9OaApZVvcJ4Vpp41y6Ixj/NMxQWmCKsTS49Pw7wDPPc2QSwvWtM8FOvO2r9VeV/H38tn01bYjIfVLbmd9vq5ACCWhhIVAk94r3FCryjbA6onJSdKkaG0LRiZDECQ6kp+ZtvvqlFmi0mWMgtfPsRxiFc+9j5kG8AQKPkMK5TuYD9MPLLYlj9qHUIvkbDFrMBiVXesC0PkpCXSimLaZBOJjfItmGB3QgApQCof4HQyWJho8mlOw7E58C3c6ZLl+ZtpXWTbGuY+CW4nElxgDknc+hWsk5BRc6ZO0fGTx5f0LXuosbLAbW8wKVjGPip3OGbzSIxrhPBowoFQJGnwIn4IWsR/Z0fC8osBPDD1zeyD7Lgeut5cThCfJ5r2xr6tmgAlBUBNTEHsMSUySaNlmqn+ffDNOFspNpe1fFfH1aH+s4kPyBhEMWtY8CAAUGXB6YxqDDvsgXosPopwNaIVC0J0ploKqFNCVE2ZfnL4xgBm4kpmo5Ktnm6ApCcS6JsIocqKWipx/aWlf6we0y+v/zlL2bSAbiLBoa+POA5fVH3AVHan5QDH0844QR2swgQBu1geMsEzB4XWRlLfAAfdCUbftlAcImrzrt4NFI++OCDzGQwrICOac+dwIIJYadD02d6htWnnnFm6Hk9gSsMnqUggpeq2QMv7TGYNG/LNWa03zw/+g5k4SPJDxeAAGaqOOOGarzn8G8LeIfk5yqiiaf58fjhA+XuZksC1gwaNCjj89kUXiF/Uc9iLoElny5wn8o9dlTTjrYwdool3qUIUzZ4lavMbrWzPSfW3+fKFnj+b571wLRU/MkkC5B24JzAQotIjHoWk3wu821iuWWxMDmMfugzgO+rsHezymL6ngvrfyGymP0NsRfG/XX4ZTFtUxLyUillMQ0GSPuj3l+YnivZPvM1LSlZDMA7SBYD4MZNFfcYAFbHBbxB/oM0TdvktvE4AE9VzmYM6NiNd3VyuZJ+B9IPHRu0spLHSi1zmG9Hyhptu8gBXbPnwslxuPiSGupYQb6xx8ruu+9urEFOHf9sQUwbuPtAOX7z3Qq6tqFc1FDHSinvDwpEEIpvcUjxHFUoi3NNVB5i4BxxxBHG3zlWwWiFYknL9//xxx83P+QglObQPm2sVDQAykRSo3L369evDgAK4hxEOOVXUuFNj3Ub90MaVoeWwzZI2CM9Th0IlWgGFEO2AO4vRyeo/nTV/iRdgzr589jHDGg/AGqby9rl2fuFlm0Dqvi1YLXDnkBo2/BHYQvemq7b9ddfP6PFin9TCDAdnt9xxx3mmElTmNaGyeD94fYA8zo/AeQRIQ2inHIJ2HyYbQC0XAKqnz9hx/379xd+uWjRJR7Pf52WK1vW+XZ9N5N/7b1YCzvrRB4HvHtsALSU97WUZcfpMuA9ggiEkBc1yY1Tnj8PzyA/qPbt5yU99E6zn+/fKuk5cuG+u0pqncoV/ulTfT2LfF/KPXb0+5JkW/ArxC8upb/5XGpvvjBu9qx8J3qLWpUUBb7Uz2JW5/M4KLcsVowcRjcrQRbT77Of7UnIS6WUxVS+Qv5jIQvXI37C3zx+9pWwyvFTUrIYbhCCZDGUJdB0gWwAFOBOgYtyvy/9PKmWY8auAqDllHOT5pd/0a6Sx8qrU8bIxDm/yKQ5v8qOK64rK7ZeOml2JFIe37DGMFYAy/kuIS8XEgUeVymN/X3UUMdKIg9SSCFq7YFbQg1UHZLVJGNNC0UtIpsMef4hU2FVzA83Dri0AwwFcwNsxb++A0DzZGo+2W2trHyuyydvUnVgOoffQwQx0HIltC/DtBY0T66t39xI8wPOXXhh8MSQ4D9KYSZNep6tvqhtQds+b+8nUbYCMpSLz89//vOfxu8qD5s6ugfQxCdqGKHyjXYFvrgw46ccCH9cfLTUHA21cH2phJXl0svDgdQWA/IDzLyXcmrzv5Snsa7WSA6kZ8+U9EsPR+bJdbL26XukZo31JdW0Wa6s7rzjgONAPXEgKTkprLlJlq9yQX3LYmom7+9jEvKSv0w9LrZsWw6jTDQskZ2wxmLyBQ/xy44fVrsuv0yqPHeymN4Zt3UciM+B2Qvny5CJI8wFgG13jx8uZ669U/wCXE7HAceBBsEB4phA4Ei4B4wiFi0BJSHbHWLUNYWcQzkN/+D8cBFFnRoMvJDyGsI1RWuANgQmaB8QDoPAyCgEX7VrtIx8twQ1YmU+iGxTLaK7r7vuukHZMmkaAT4OUJhE2SuttMTUlUZo9HeEbx421UrgHJMj1dbjWIlVCD/PKZeXxqhRo0T7lMv8Xctz2/rnQGrj7SU9+n0RT8srDqW23l1Sy3eLk9XlqWcOpF98SGTO4kWIgque/pOk33xGuM+OHAeqhQNptKzvuzZnc5t7+Zp6oBKU9sx4F3kLOjX9d5LUqoX5GctZYSPMECQXwIZSy2Jh8lwS8lLYbSy2bOStFVdcMeP6CLnrpptuMj8WzulTmGar3aYgnlezLPb1jKky8pcJMmXuDA+OEunSsp30WWZl6dluSWwBu/9u33GgGA48Ommk/L5gbqaIUb9OkpHTJ8oGHRaDIZkTbqdBceA3L6DrrV9n+7yO28E9um4gPdp2jJvd5asSDuBrm4VI4rFgIY01RJCFDC5h/p+98wCborr6+Fk6iCiooNgQI6AiCij2XmNvWD57iyUaezT2XqIYo8au0diNvcWODVEUEBWxIgiIgCJd6rvf/C7e5e68W2ZmZ2f33fec59mdduv/3pk5c+4pV111lZFz9OrVK2OFV+5uYppv4+CUu65qLl8FoM7ouGbyrI6j+g0VYh6R3peLXP8RaEcWItpohYX4XypGcZTtCkAxV8d3J1q0aCRY4SeCUAIygdOgQYPqNcs1v0ddG20F8sPUWx9zCHSJ6qpUnQikPLcCqf/7i6RvPk9k+tSCjUTzM7XTAQXT6MXKIJCeO8dT5faibffsV3oDpkyUtPdMYm4oKQINAoG052Lii4+LNpUZ7Z/Vac/lQ7RwcEWra5QJXL5AebElUyAfnwcvhr903Oqg+cliNLyUtaihBLRLCAbqmsEvKTnbzVJD5sUmzZ0hd3oCiZHTf3S7Z/afGj9c1m63ovxpza1kpdbL1LuuJxSBKAhM/G26vDxxZL2sD4z5QHotu4o0875nlGoTgXl1C+Vjb6ElCu2w4uLYHlHyap7qRaBLly6y7777Gnc0uKRB0e2ZZ57JNJj4KQQrsgF+kZNgQVuqpXGmAt0JhIAKQB2Y8DuJTwQc2MJQoioMub4uneRm99NPP/Wfiu2YNnBDwPRiCo5ZeL4bBNN9K7ANEgAijrLXWGMNQdiK0JOo9PgBRfBJBDJ8r3CNoAdouOIfNBfBlFvM8bN17bXXGt8UlGcjm+L702+ulassPVcZBNLzvQAGD9xQVPhpWrdMh0C+3irTk8Zda6pVG0kdcmrjBkF7rwgoAhVHwOULlBdbMhz5+DwWoBF64tdvk002MVY1LIjDm6EFig/69u3byw03eO/pPORi3lB5sTGzf5YrRr4ksxbOy9NLkVEzfpLzP31Gzl93V1mz7Qp50+kFRSAoAgg6F7GA5qOJcz3B6E+fy+6de/mu6KEioAjUMgLnnHOOkVs89thj0q5du6yusjBpFydZlDz99NONzCkrUcQDFMiQqaBwxqIo5u4IWDHLR/ENwSwR4JU8P+QNBYQhQ4YIDmWRmCNdt9qO+do/dOhQefvttzOXEcgNHDhQhg8fLqgdr7XWWtKnT5+saOpMHHwlETWLuqzZNoK4CRMm1ItmPHLkSGFyW8JkGzMimEfKspG97HV3i+CUttgI5/YaZeI3Yvvttzc+Pfv37y+PPvqoKZMI6RA+M5nYMLRrrrmmwcMGC+L6dtttx6Yg4S+01LLRNjjiiCNkwIABMnnyZBNoiHNgRf/XWWcdY7aPH1DX/H3OHE/TzCNWQRhXCA1PBJ04yOc6gZPAEtp1111N/ocfftgcw6jD5CtVBwLpp+4WGft1oMakPf+Q6U6rSqpb6Qwh9+kZZ5xh6sXkACfPSopAEATwS3z//febpBdddJEQOVypjAisuJo0OeZv0SpoX9yiIVrB0XKd8cZwGT5psduaJ/bZXJZr3TJaQQ00l8uLuZYk+boDL+ZayvB+xzTMz4vZBVzKYdE3Tl7MfmzkamM+XgwTtq5duzYIXmyPPfYwJnfwYffdd5/hnVjI5xgBMsE8EIJaX2Pg4PLQlebFjjvuOKN4gOapXfjONVaFzv22aL5cN+rVgsJPm3+Ol/Z6L+31vfeXpZo1rvvXYtBQt0cffbSJF4BShPuNV6n+jPh1nOdq4Ye81T85bphstcJa0q5567xp9EJ5EOD7dMqUKbKwWUrufPbR0JWs3HrZ0Hk0gyIAArzLzjrrLCNn4f0KsRi55ZZbCm5vEEj26NFDMH2Pi+CZrrjiinq+PXHviEyL30svvWS0T88888xGH1elqgWgLtNKsCBLfqGhPe9uP/roo6xARrfccothBm0aBI2oJKPFaInV9dtvv90eZrasqp977rlyiheNliiZaITyEXDnnXcawZw1Fxo8eHAmDztMNkvsw+BbTUaEpXff7QmOfPT555+b1QIEoNBRRx0lOOanzjvuuMOXerHfTffkAQccYISi7rl8+3GUvfvuu8t///tfI5AFP5f4sEB46ycbpAmfGBYDzOfxBbrDDjuY1QuilUH4/OL3zjvvZNLiU0OpOhBIjx8t6eHvhmpM3Qv/kaZnXB8qT67EPNTReoH4wFNSBIIiwCKVnTswyErlRSDVpq1It9pYdf5syjR5d/ziOTNvYX2tn/IiWZnSg/BiaBrkIngxKwCFBzr++OPNIq5Na3kx1wUR5mAsWPspKi/mlgPPwcJZMV6MRViCLzYEXozFenC9/PLLjZKAXSyn33wUuUE9LRauALTSvBhCcnjAUuiFCZ6CxPzg/qt/XTBHnpswQg5ePQaXL6U0XPOGQoBvQd7f9v4NlTnmxGh9/sfT/ixEvy1aII+O/Vj+9IctCyXTa2VAgLmCQk7r1q1lfc8VgZIikDQCRHa30d3x1V3ICqOUtmF9i1DTvtcRrPJdjKyKd+vmm29uZGAEO3z55ZdNQMR//vOfjdois2oFoDNmzDBCRzsh8AmFSfpyyy0n3377rbzwwgtiBWkwe3/+859t0pxbVsLRVkBzEGaRlUMejJhaW2KSEAETzVD8J+GD0mohonXJ5LJaoeRhH/+U1kSelXY00TgHw4/U/8033zTFjx492pix77bbbuaYyPIHHnigfPLJJ4ZBNSe9P+pnhcASqsu0xwoE7XlUqtGkcLUmMI+35dt0hbZxlI2vTr96d646XdzQEoUYDwI7IRxGXZuPLLQ9Ud+2ZIMfccNCaL1i7qVUHQikh70TviGTxkt6wveSWnnJ4kP4QjSHIqAIKAKKQLkRKMSLIVx76qmnTBPQyMcSBQ2tfITlCtYguXixmTM9/8MeIeRE+BknL/biiy9mhK5oQfJhYHmlfLwYpmJYClmKg1+yZfm3cZQN32kX4/3l22PrUoljeDdLtcCLvTPlG9udwFvyHLSa57/X09ZRUgTCIvDqxC9kwm/F40AMnPyl7LTS2tJlqeqyZgjbX02vCCgC1YnAjTfeaISfyMguueSSjJUsWqjIttCG7t27t+GtWGBGYe+JJ54wGqrV2aPytypWASjCxOuuuy7LrPtf//qXMeX2d6XYai+r9FawSF6iguMD0xICSgYPYrv33nvXM1G3admiWXjxxRdnTjEZDj/88Iy0nAv4zsSc2zKGf/rTn0ykLJh8SzDvMEtoJWK2jZaAJbQhXV+XMPJWAEoanOFappu6+KGZ6pbPBKUcS2hR2tX7ZZZZxvjWJKonHyWW8F2KgBezMUzI//GPf9hLBbdxlM2HBVqrEOZiCIERUCPM5MMCFW8w4MPHEsy+JQSeCEDB6q233jL4oBpOeph1zOLR9LPatTvttFPelV/mi4udrYMxo20IvKmH8ipBzFlLCK+tAN+eq5YtGNG+vn37mrle6OPgpd03lN4rZPs3CdKPcw7eV+77ckLepGCF8PvKK6/MK2B3I/bicsEdV4TsrPrGRW7ZcZUZphx37nDvFxqTMOU21rQ8Ky3hHsUdX55PLNjEQYyb+6yOo8yoZfjvkajl1Gy+BfPF01ONRDzLF3rvFbQYLf8QqaCYMiXFi8FXWQEoTX/wwQeNOwk0HXIR72IsT1whqZ8XY54eeeSRJp3FslRejAVpFrEtBeHF0Kh0eZU4+CVbv39batm8s+Fded60bNlS+vXrZxbh4bNxxYQ7It6H+Gm35H/GxcmLUe9hhx1mq8psedbCi8Hf+Z+7NpH7LLbncm3hUeAtTz31VGmxbFvZ6j/n50pW8Nyv8+fIaut2k7meVjf+5+E53DEvmLnKLro8AvdZUBzj7gZ8e66Ix1HrQbPJfV+7/QzSR8vzo/wC3xQX79Rs6day6W2eUkzb4nwmnP/xD98gw8+vb/UXFRdwQIEEVz7gbZ+VQcpzMazlueJi4Z8rvLOxTuB9VMq8aNVxWdnszrPdqgLvIy+YOjz8wo2tgHHEhdN+++1nzKvt+Ti31TRX4uxXOcvC/QzyhrDEgmuHDh3CZjPvfSyFISxpef/nI4JS8+5ESIr8BleIjZUiCUBhpmyEbswHrZCPfVd7D1DtoBQC2B+1HG3JZ5991mRhsBhQP8H0IMBEi5IHGYLWq666yp/MHKMxyEPCJZgcmJ377rvPnGbiucJPTiJE4eGI+TsEE45Aj/7jy+Gkk04y5/GthBDW/wIiPziRDiEfZhuFCF+Zfsbh73//u5ncMBWY5/NhQZAhPnBgdPElAYOL3wcCJaHyj/YEuEFoBVhCuOpSqWVTFh88EO1GmOuasZkL3h+MxwknnGAPswI54a8UNWyEWbQfAbFlzDE/Q+OTDyyr6Wo1QjOFOTs8qG1UNee02cVcxjI+7gPdny7J42pph7/PLD6cd54X0T0ALdN8iRZJgOSZJC09H1zFTI/x08iPue7O40whvh0XT3fflyzSYdzlRWqEk6na2uM0Ld5dTyglzRdrjMdbcHZp5cKTcstVdnYPgh1VU1uCtTjBVN5YRaVKjXOleTHL4xDoMCgvBk/lUi5ejDQuP1UqLwb/wS8ML+YXhJXKL7nvsLh5MXhwa62EooArYHax/vLLLwVhK+Q3IY6TF4NfK8SLUX++eyboM4p+vuUtmkPtlo7+jiBg0jQvWNQxxxxjXB7wUVgLFBTHuPvKAkaclG+eUEeQPt52221Zyi9R2ta0RXNZNH9BVta+h/9fIOGnzdR+3TWkVc/VZNzAofZUyVu+9VAY4f73P1PCFB4ExzDlBU0bd73MvXxl+s/zLnj66aeDNjVvujZNo893hLLFvoPyVvz7hb/85S/GHZ+VyRRLX+p1P46llhc0f6XqDdo+Nx1+Nu+66y73VKB93PtZlzuBMvyeiHc/cjAU8woJP22ZLHZSF8pq3DMur2XTNIZtJAFoPmAQ0iEYDEKAzspeLuJGti/R/fffP1cScw7hGH4NMA/HqX6+gWSwrfDLLQzhoSUiceWaBGhXWoIJ32ijjeyh0bbE3wIraLny2oREQrdajvZckO0HH3yQEZpus802mShhCDz9AZZg3hAgQtx8SPihfNG+MDezAlkCgKC5CRUrG5ytcBVBtWW6EVbmEn5SJqZsCGtZ8fcTHxlbb721aTvuAKy/CtJZbU7bL4TUBH3KR4xxrjawekx/7QM011zIV2ac5239tsxKtcPWn2/Lxycrimgo08ZC7Zw2f4kmXb7ycp2fI00FjeZ8BFa77LKL0QC1pn350trzhdpp00TdlrPsIG1qKHMnSF+CpknNmCotn79P5v7f6XgUD5otUrpyjS/llqvsoB11506l2xK0zRVJV8Icq4ZxdjFTXsxFY8l+FF6MxVmEYlH4JRbG4cXgNbt06bKkIc5eHLwY/uwhxh03TPkIv2BWAOrnleLkxWiHv3zaBK9s/cnmu2eCPqNQXoD3J4Jui7ro7wfy0lYE3CywB60/H8aVOu8+52lDpfoRd72Ul6/MfOfdMSDAFu4s+EYpVJabx7/f/djd5deR38vkwSPNpbZdVpQ199rKn6zoce9TDpBZn42RugULi6YtloDx7tmzp9EA5Vs4CBa2TJ0rYhRvDj74YLPwEXVegGdr79kRlZCXFPoOKlYuMg+Uu9DiCzP+xcp1r9fqXHH7WOl9lACZC0HlZ/72onEKsRgShJgruJUc41nFsHiN2XxjpFgFoJjMokUZhNDqQoMzF7nO9DFfsAxbrrR2lZ50mIEzqH6yDmj954mEbskvULTnEXpaskJZewyT5wpR7XkYXvpAH61Qz17LJ6S1192tuzoF416IaD+CIut7FOEphFZmLmLiW8JUvRC5Zbum7DayGXkRWtNvOx5uebgJyCX8tGnQ+kTIyYP21ltvNacRPKO5S3026FUh7U8yoTruBsuy5XPOCq4Zz1JeOLbMKFtWaCwO4OTOrSjllSsP+HAfBTHdrXv235J+f7HgPUx7rn/0aRmwan5hdpCy3PuXBYhyjms5yw7SVxaLrBY0PncLLbgEKa8hpKl78T5Jj/1Klv7uU2nSN/zHRqE+8uy2xOJMucYXRqNcZdv2F9vaADTMmSD+mouVV6vX0562cV3EzmFe3KTAgk7EYiNnU15sMXRx8GIIKPGvZSkMvwTvyo9FYwR1uSgOXsx+ALHYiyXRoYceWq8qPnRcC61cpnZx8WJoouTixRAk24XtfM/doM9L0rHwzw86eegj8vO83EoV9cD4/cSyXmTun74ZUzbhQb56y3HeLvRTNlZUUT+my9G2Usr0W8W5gp4gc4U0fMME4WdztfNHz8fn2Z88IcsfvLtc37u/NG/SVC4f+aKMnP5jruQFz7Xu1F7uGvaq7Ldqn4Lpyn0RXtIqINXSXMm16GKx9M8VjvF9XKoJ8OS5M+Uvwx611YTaskC2QftVQ+VJOnE1zZWfPU39hkDItghInY/Q+kW2gftAYtiAMUG2sZaNQta6BEU75CjuMzJXecjL4Bl4RzRW4Se4xCoAzQV0lHOuADQf05irXAY0lwDU/wLNlTffg7PYRKIsJjJBmVAnRugZ101qX1DUEWSSIozlYxemvxhZbQbS5cLMn9+W7QpAXR+tCPdwrIuQko8v8KT9MOOYMecjIpLxMLDCW+sbFvMmbuTzz1/s14lxwB+oUnUhkOq9RXgBaMeVRVbpWl0d0dZUFQLpMV9JesRg06b0/x6RdM9+kmq5ZMGqqhqrjVEEahQB5cXqD2wYfql+7vpn4uDFrFYlpT/00ENmgYxFXwSR8FH4mcdNlCsE8pvAN3RebMsV1pKnxw+vD3CBM+QJwuMXKEIv1TgCD3hR3hd599CkeTPlxR8/k86tl4kk/LQwPTdhhGzbsbt0aBnMWtLm060ioAg0DARQznEVdPytRt6BRSvm7lgxn3jiifLXv/7VaHPjZjEsYcHLewxZCkJQLD0K0aOPPmqErsXSFSqjFq5VpQCUlWoIjZUwq5is1Oci61My17VSzrHiiuN0hHx+QiME5hMtxqFDh8rw4eEYM8pDSm+p0M3kT0O7ipHrEDoIxrZ+BJ2W/Bqx77//vvBj3NBwdAW4+UzgMaG//PLLbZFmiy8bgl5Rl9WOQABrVzmyEutBRRFIreZ9QKy/aUZYFaQxTXY7VD86ggDVSNPwwV733H1Lej/zV0kPfFpSuxy85JzuNRoE0hPHivw2O3x/l2onqU6LXbuEz6w5QEB5sfrzIAy/VD93/TOl8mJ+Pgy+C7+H/GgrJvwuT4jlictb2hY1dF5sj8695K3JXwmBjYLQMp72514rrx8kqUlT572XJs+dITMXzpWlmrWUTq3aSdNUNB/ogSvVhBVF4JNfx8lw72fp6XHDZenmpS3EzqtbKA+NHSKndNvWFqvbCiPw1YxJnpA7vP1Hx1bRzd8r3GWtvkoQwNUci6rEdiHgdRQBKO95FMSIuXPOOeeYmDAoovkJC9T//ve/ZjGUa/mssP35avW4KgWgmCtMnDjRmOs9//zzVYs90dat8BMNTXwWYh6Fn0qCFdmVZavVSEf4uA9Krjm5q22ZLz/+SCEEvtbUOl9a13SffEQTLES2bFcIaf2Gkg8/ogh60X6FIbfCT/qA+RcCUDdarK0rlzYFPkMRotro8qTN58bAlqPbyiGQ2u94Sf/izb3xo4s2IrXLQZLqkR2Mq2gmTdCoEEh//JbIhO+z+px+50VJ99teUh06Zp3Xg9pHoO65+0VGfxG6o6leXtTfQ04LnU8zLEFAebElWNi9MPySzVNoWyovBq9EGVjnMF4svL/33nuG13Q1Q7t37y577rmnXH/99Tmb09B5sTbNWshZPXaSK0d6PvAXLVEeyNXZ1k2by5k9dpS2AYRZsxbMlWcmfCLvTvlWpi9YogCAEHSz5bvKvqv0kfYt2uSqRs81YAQQiP1nzGIrFNuNeemFMm9+ODcLNq+7HfTzt7LzSutIt6U7uad1v0IIXP/lK97CRv0YFcWa03/VvoIWuZIiEBUBFL1swMAglr756iFINwpoyGAI+EiUd1zaWMJCF97FulLD9QPap42ZqlIAil+OYcOGGXNuVHqJsl5txKq9jVRPe/G1mcunEu22PtjYRzjo+p/jXD5yNQ2KmdWzwm+FlPm0Ld16aLMlhM2FyC0bZ72WXAEozncvuOACozHCSgYCWNLiuxSBLDdfLoIpxy8V7gvuvPNO4zN10KBBcvLJJwtbSzD2StWJAKbJqT2OkPTdV3pRDgp8eHjRvFOrrFmdndBWVQUC6Xm/SfrlHP6UFi2UuhcflKaHnVEV7dRGKAKNAQHlxeqPchh+qX7u+mfi4sUQgKKxC6/FQjv8IHwjfCQ8NIFSSJNvEb4WeLE1264gV/TaS27/9h35euZihQA/4n9o21FO+MNWskqb9v5L9Y6/mzlFrvOEI9McwadNNNsTmLz20yh5f8p3clr3HWS9ZT3XPko1g8ArE0fKj79Nz9mfs7vvJKu3LS1wCEJ4JUVAEWg8CCD/wQ2Nq0iGLAmrV3xmExA6KqEkhgwFt5G8+/0+bydMmGCK5vxJJ50ke++9d9SqaiZfVQpAXW2/N998Uw488MC8gMPsoSnI6vXFF19shG55E8d4YcSIEZnSdtppp7zCTwSBX375ZSat31zJaomSwM+Yur5Lib6OIDKf8PS1117LSPZhdF1fT5nKnR2El5RFmQ8//LARNlIffinWXXdd2WKLLTKp3bJR17YEU42vT1wPEOjo7bffNow2ZXfp0sVowyL8JDgV1yyBHeZWCIz32GMP4zeVyPUIuyGEoTfddJNQryUwvP9+TxPII5zol7JSYsvUbTwIpH/5SdL3/b2w8JOqCDLipWtywiWSKjEAEsVxzxPFEerXr5/Z6l/DRiD9+lMis3J/dMjnQyT93UhJrbluyZ3E942dOzyrlBQBwZy1W2HfSaC0fd+psnLnxe+qNj289Eu1ltQyHWoSQOXF6g8rARvxUR6EF6ufu/6ZOHixDTbYwGh/YO6OJghtYwHa8mJ2HAm64dJHH31kgkxWmheDD7QL+G77oux3br2sXLbenvLljJ9k2K8/GLN17K46tlxaerdfTdZZJthi+kRP+HXVFy/J7CLapFz/uyckvbTnHtLVE8AqlRcBtJgR7Oe7/+KofYan9fvEuGF5i0Ij+HJP0K5U3QjstddeZlGonAFnW3hBsXotG83VTrsAGujVjbC2rhgCyC7+/e9/y+jRowUh5IIFC8yiJN8dWGscffTRxiQdK998SnTF6rDXkd8QPBvZCWVDmNTjkpGFVhTV0PrMF/PGltNYtlUpAN11113lwQcfFCbEvffea0yoiQruJ6Jrvv766+Y0E8fVTvSnjfsYsyNLOI/PRagaX3TRRcaXpb3O5EdD05L1rckxqtDuxHRf8GhV4g4gl9QeMyduMEtg5TrWt+fdLasNOMFHAIq5+siRI81lBK3QpptuKueee65pq1v2dtttZ64TZR7/p9bvKoLer7/+2vxMAu8PwerZZ58tjz/+uLnp7XlM5YkGiqk743beeecZzVh7nS2MuisQpn22jURKUwGoi1Zl9+uevie4j76FC6Tuv7dJk9P+7skbltxDUXqAu4lbb73VZC0ngxOlbZonPALpnz1B+qCXCmbEHLrJqdeUPHf4iMJtB+S6GilYuV6saQRS3vuw6THnFe3jqQf+JbPY2K5dO+OupWimBppAebH6AwdvFZQXq5+7/pk4eLHHHnssUzDBOCECH1mCF8Pkze9SavDgwcYnWKV5MRQZ/MoBtu1Rtz3arSj8otLdo98rKvy0ZS+oW2S0Tq9Zf19pkkrZ07otAwJXXHFF7HPF38zHf/i4oBuFb2ZNlvemfCNbqPmzH7qqOr7qqquyviPL0bhlPfcX563zx3IUrWU2YASQ/+BuBtd/riyDLiGzsTINhJVobeaS7UTpPkpn8G2Wjj32WLurWx8CVSkAxWSHqFhXXnmliWjOAJ511lmy2WabGaEdwkB8HCEchdCiPOqoo3xdK+8hUnWEoDBt7777rqCpSvsQaHIOoSgai/hkcAnNTFez0xV44rSej3I+yHNF5xowYIDRpkRziXzUw03EQx6NSuiAAw7IaFK69br7jzzySEZw5J7v06ePwXfIkCECY3zooYeatlqTL8rGvynCy2uuucZkRZ2am9tqnOKLipsbtW4iyJ5xxhmZj0W3LvYRvP797383/UDYC54IiCH/AwMGHTVxCA1XpepAIP3jGJFvPgvXmEnjva+zT0TW7hMun6auaQTqXnhAvBWZwn38yTPhHPKGpDbZsXA6vaoIKAIlI6C8WBvjV9MCyccFPEoQXgxeDm3RQhQnLwbfOGfOHFMdC4LrrLOOMXlHkQBe7IYbbsjbFOXFsqEZPWtK6EjfP8yZKiOmjfe0TJe4l8ouVY8aAgJjZ/8ib0xaYrWXr80Pj/1INuqwhrRsWpWf0fmarecVAUUgAQTuueceefLJJ01NyEV22GEH46sb83c02HknE0MG2QmyLuRYaCwrJYdA1T65YR7HjBkjMIj4NTr//PONcA4tTwSgLp155pmCVmCSRDtQXb777ruNsA7ze5hOVJBpt3U+v/766xttyttvv900j4BIrtN7hHoI/9DERJuVH+ZKaMC6RNlE7nzggQfMD5VmjslnicBLMMDuyr+9ZreYGdFmaI011pAjjzzSqF9jpo7fVQihJgJMtDuthicRxnCsi2DyoYceMunw73nXXXeZ9qPpimanFcSaBN4fqyD4luriqXvbjwGr2WrTEokMNwd8XKC+jSDYT+CIX9BChAYt+PgJtXPrFgC8MBOrBFnnw9TNR1TcGg9R+4SGLr7BotCm8ybLNhEyfvTQ3fJqq84RcorRGubec+e+f1yZY8ynuKhSc8a2350raFu7rjNsmoa65RnffOxXcvBvYwJ1YfYz98ntr70v/bbaRjbeeONAefyJCt2LzBv7jPLnC3vM85LxqgaiLZWex7hCwew2DP3fnLGyepgMv6f94osv5BlPWygMbbnllkXnVKF7EeuOWro3wa6x82IEu7SEkJH7mfuoGC9W7F4rBy8GD8eCOLzhJ594i4w+2nfffTPBKF1LpLh5MYSufnN7moI5ILwY/CXPYIuRu+Btz/maXtIh/A18TlCa3GUp8ezZgybPpLvr1aek8zczM8fFdjD9hz+Og9znkp8fiqP8oGXw/HPnVtB8+dIxl92+xTVX+NbKdY9837u9pNu3yNeczPmp82fLWY/eLJ2+n505Z3cIPoKFUrWSi2cl5wpKL3Fab/FsdueHu1/oueKxRpHIfYZFKqABZKqmudIA4DJNRAHOWs7ikgY5S67vUWQqKIEhCMWacfvtt89SkAvTX2u9GyYP/EyxANhhymtoaatWAMpLlMnBBwkMKGY9PGxc4Wffvn2N5ifCsUrQYYcdZiLVo4lKoCNe1NZMG/+ETHpUkRFKIijkRYO6M32yhMAUE3Cc11ofSPjAdD/QSUvZLiHs8xOCPuvo1n/NHnOTURYf+Agt8ROBEIEgTm+88YYxw4c5dem4444ThJQQ5lqsXECcs9qYaEQgvMQtAQJYyrBC4G222cZorppM3p/7IMCnKOVbwrcWGqYwrLQRzIISONOOXIS/UjCr5MvebRcCUKvt6p5Pcp97CXMiGEE798LWf/vOG8o2668ZNptM/mqkXPhEfUF3kILQfkaz+s9//nOGyWRc3bkCU+XOsyDlFkpTiHkqlK8c16pFoFZq33hWXX311fKG90x8ZXdPG3j5ZQIV2Sa9SJq99ayc+uTTxp8Nq6elkP9e5LkTpwC0WuYOHwOVbMtpp50mMGmuT+wg47bJgdt4i4KdgiTNSoNv8AufuyvrXLEDfCniI4nnYhDy34s8d2pNAKq82MLMVPDzRlyoJl6MDyj8fPFBxX3GgjsL2taKx7U4whLJbXucvBj+3AvxYiys5xMexP2MYsGfxXf4nKC00d8Ol65dtwiaPJPu8x++ldsuvCVzXGzn5ZdfNh+9mEDGSQgt4sYxaPsQasUpAOUZ6/J2bjui9JH34CmnnCJYuvndl628dW/ZYrsT3SoK7k/s3ELuPfMKmTNpalY67j/uRSzgqp0qOVfgs+IWgLoCOxf7QnMlLdEkoPmeYW69tbRf6bnSULDEKphnFopjrnzD337ewRdeeKGRb/EswvKWPFGomIJYrjKx6H300RxBZ3MlrsFzJQtAESwx2GEJ7cMg+QjIAwOD0A6hGIwc/h/RonQjafnrR3jKrxBtu+22RdsAM5mvnbzo99lnHxOUhxV0PugxGevatWuWL0/OvfXWW3mbQhAlfmi6whjiwxP/nC5RBi8LXt78uLn4MKEN/FxCEGgFqDC/tv3kQQ0b4kPPOsml7HPOOUf++te/GgHz999/bwSYaBL4CSaZgEX01zrWJw1t23///c2PY4SkCDMhxs5qksIYue3dxhOO+skKrhDM+l0I+NPqcXQEGDPuX4t3lJLqvLkYhaLmoy7b7jgZpyh90DylIcAzjvl31DqryroBhZ+2xpP6/EGGDJ+kvoAtIA1gi9UElgvVTLwLG6p/aeXFysOLWd6Fecu7hzkCFePF+FjEtNwSi8VJ8GIsqvOz5PJibl/ohysArVVeDD+98MFhKF0Xja9Je2Mehmhboe+YMGVp2uAI8Kx04y+Qs0nzZrLByf2DF+KlbNayhZdnf3n/wjuz8um4ZsGhB4pAo0LA+uF2fXHmA4Dvb+QyCECRvSRB8DEESHStkZOot9rqyJayVVvrnPYg7EBgZ4V2zqWy7aLNaLUd8e9ptR39FTKBEQZageDw4cMzpuBbb711YJVmys9XB6vpCIODEJqdAwcOrJcULT8rGKUe+peLWJXgh4CC9AQ8QmBq/ZKiRWDNdlDfhpnAfygm8QipR40aZVZXbdloWHEOQvDtEmb7LvHgQGsB2mWXXUIJQGlzLqEtLgkuu+yyjOZrpT7CwcHiz5zxC7ldHJLYR7iPL1cWAlzN6jB1r/frWJGpi8crTL7V+/STO3Y6NEyWTFo+ZnAYjUDfakbzQHcFohzHSZWaM7YPaEHYlW0Y91rQMsMtxjUXXSB113vaLwuzNdxtv/Ntm3mLPrfutqm0Oen8fEkKni90L8Y5dxinSs8dK+SgLf6PvoIgxXwRTV0sCKyVRNDiu0/wXLPMnRY0eSZd374byh27HZk5DrKDVUnPnj0LJi10L9bCfVmw897FxsaLuUJD5kc+zUY/bnzMWMsZ/7W4ebFBgwaZe4tIr7gsoM25eDH3PQ8vhi8yS3HyYlhA5eLFRowYIf/85z/Nuxv+xz4b0c5CoAzZc7ZdpW6POOIIgwlKBkFpzPIio4MmdtJtsvb6ctgddzhnCu9utdVW9XjiwjnyX4U/sBrpfn4of674r8T9DLRxFWxL45gr8L1817juwsas4I15p5StJvB21e02lGu69JX2i93vmnxY+aEIU61ULXPFVYaJAyvmin2OUF7QuRJ1zjb3hOZxP6/iwCHOMmp1rsSJkb8s+55daaWV/JdyHltB5C+//JLzepCTWBfnI+4DLIuRZ+GXlOce2p9onzZmajAC0EoMEmYML7zwgqkaH575hJP+tmEKbgWQCC0RzFUDWWEubcEcKKhJ0GeffWZMqqwAlPwIEMiPZivMtg1IxTU/IWi1pvn9+vXL0jqAYXfJ+vBECxZt0zCEdul+++1XLwsf3TZIE4xhnOY59SorcIIXiSsAdQV2BbKV/RIRsaNS2gtoVHfDWaGz9+p/hKy/1nqh87kZmIOuALSc41rOst0+5dunr8wfiHkTN+OYr95yn6/730OSDin8tG1q99MYaTJ6pKQiBNNK6l6Esa703HEFoJVuC+bl/MLQojsu875MwwtA11yzq6x1yJ/CVBUoba3ei4E6X6FEyostBj4fL4b/detz86abbjICxlxDRToI4SOL2q4/3jh5MRYpc/FiCCgsL0Yb7PMIwZ0VXNhzudof9RzKCfhiC0rjvIBGZ3/yZNDkmXRHbr27rLtM58xxkjssCFsBKPxBOXBMsj+2Lr+FUlxzBeUUfhD+PE8f5vmIrVvi7sLWH2Q7tefycvb6+0gT733fEIjvkFqcK/5vKgQ/lgrdD1FHrakXAKtQubbuhryt1blSzjFBKQxCoQtBYzGyrji6eEohUamYJQGLkshU8Dv9l7/8xQTu5p1BpPrGSioAbUQjj4m9JVatgmggutoPNi8CTbRMc61WcBOiDYoD8H/9618mC0w7hOYoUc5cnxO4NKA8mF/MwxCoQpjPx6mJZQrVv9gRSHVaRWQdT1D9xcfBy151TUmVKPwMXpmmrFYE0j+Nk/QH+Vctg7SbyPFNuvWSlEZiDQKXplEEFIEqQKCcvBgfNRAuJ+DFsJrC9ztkhR79+/evp7mkvJiByPyt2qaD9G2/mgz99YclJ4vs/aFtx4oJP4s0TS8XQeARL6L7vIjCT4oeO+cXGTj5S9m+U/UGPioCgV5WBBSBmBAgLs2bb74p9913n1lkKWR5hbbos88+a2p2XdfE1JR6xSD3wbqWxc/33nvPxKghGFJjJBWANqJRd9Wx8Y9KRNBChJaUDTBize/Hjh0r5557bsan5yabbCKcs072CQaFEBPzEksIN9GCveSSS4x/U3ueLTe/rcOe32KLLYxvVXf1zl7TbfUh0GSfY6RunGcGP3OJgD1vK1u2lib9gzuZz1uOXmjwCNQ9fz+O9Errx88TJT3oZUlttXtp5WjuRoNA3UdvSfr9l8P313t2NT3h4vD5NIci4EOgHLxYjx49sgKMYd6OaTzBLV2Cv8oVmEF5MRclkWO8IEjfffq0TFtQP+BodkrPbL9pczlprcXahP5relzdCHwzc7K8O+Wbkhv52A8fy6bLrSltmrUouSwtoHQEHhk7RIb/MjYT3qiQQs3siFZIpbdSS6hFBPD9eYfnCgUNUALc8evWrVu9rhKIDQ1Mgiuus846xiqjXqIynLAWuchlal2DuRB8KgAthE6NXXNNnKzKdaEuYkbj9xHxzDPPZISfqFGjSYCJJSsYjz32mPEpheCUQEyWUAHHH5T1c2HPs8XU3RIrE5jIo11aKya+tm+1vE21d1ItKQAAQABJREFUay9Njr9Q6u67TsQTSOWlpb10R5wlRms0byK90BgQSM+YKqkVPfcX/EqleUvMnEotSvM3AgRmeub0P44J39FWjXOVPDxQmqMYAuXixfC1jhshNDtYeJ49e3ZWU1iwvvrqq7PO2QPlxSwSi7cdWi4lF/XcXa4b9apMnDs9+6Jz1KHFUnJWjx2lc+tlnbO621AQmPjbNNllpXXlvSnfyqyF8+o1u2/71aVjq6Xrnc914gfPdUKPdivmuqTnEkZg8lzPD3IE3+EJN1Orq0EEsIS95ZZb5JRTTjG+uQ855BATmJCFT4JssjiJj26UxyBcN6AgFsQqNw64cOdIO4htU2hhII66qrkMFYBW8+jE3LYOHToYM3TM2gcPHlxQ9Xn06NFy8sknm8BGOI8/+OCDTWsI8ARxwxKIBsKc/qCDDjI/TLusSveLL75orhPNPZfwk4uofD/33HPGQS+mWq5DadcxtfUPZQrUv6pDILVCZ2ly2rWeZtUrkh76tojnGzRDHTpJqs8WktpyN0mpECEDS2PeSbXrIKk9jmjMEGjfFQFFoJEiUC5eDNdDLDbjG5tAS3xoYYrHwjVUKDCL8mL1JyNCzWvX31de/mmkvD35a5ngCcssdWrVTrZc4Q+yW+f1PA1Q1fqzuDS07VYdu8ncnxbmFH7Slx+9MT+9+w5C4EUlRUARUASCILDeeusZN4AIQZG5oHSWS/GMdzZWtf4A0UHqiJoGeQ3Ka7lcHEYtsyHmUwFohUeNAD34wERVGp+aOMFFEEh0yCD0+eefCz8CHLGagPbllClT8mY99NBD5bbbbjN1nXnmmXLeeecJzDiRwT788ENZaqmlhAiGmLFzc/BDg/P99983qwVWMxMG++abbzbX8OuJbynSEOEXtW4ir1siaEQhwsk5fkIfeeQRmTx5sqyyyiom4r11UE5eMMKcK2wAjUL16rV4EUg1byGprfcQ8X7puZ4G8OyZnnR8KUm1KU8QMAKN4csEwqQPkwMlRSAIArjdsFGK0ZhihVapOhFocsBJIvMjaPmWabFl9913l3feeceAxSo+7yulho0AC7eMKR8o3333neGDEAji+qd79+6BOufnxVwrmFwfGsqLLYGV4AzwwCx6Wx+mS65Wdq+F5196z5XXN785nqnszIVzpW2zlrKU91NKHgGCd/F9wXeD9WlbSivQ+nzcM1/PR2j/vvzT57J75175kuj5KkXg+X3PlTmTf5VmrVrIfq/fHKiVXZda3nNnsU2gtO2atw6UThM1TgTgH5566imzCImsBxkPvADWFsh6EH7uuOOOsVi8YvURF6G05g8+F1fZ1VSOCkArNBrcBAMGDKjnn+mLL74wLbrnnnty+oywzcW0iWifL730kj2Vc/vggw+a1QWrWn3AAQfI888/bzQuYdivvfZawdfmV199lcmPdqhLr7zyirkZUJfmhrarGES7R7Nzu+22k7PPPtsIP918dn/EiBHGHMvV6LTXcMRLG9yPBdqC3yrajvNg2vf1118bASnq2jw0iDKqVL0IGE3PMgkg3F5bzWC7da/pviKQDwHmi50zdpsvrZ6vLAKp9stXtgG+2t2547ukhw0QAT4c4EHwX+4SC8IQgYQKURBejI8f+LWTTjopY+amvNgSVFm4bwj3Ff4d1cfjknGrxJ6dK2zjoCfGDc2r/WnLf3LcMNlqhbVEBV4WkYaxNbwdvF5dcF/zLb0Fj1XatG8YHdRWVj0CmMMTb6VYzJVSO4Kf0bgImQ+KcbVOKgCtwAjPmDFDjjrqKKPtSPWoSm+66abGJwOr4GhfosVpzc39TVy4cKEcc8wxYh3ZbrTRRsZ3JjcaTPx///vfTNlM5N69e8tuu+1mikEQ+re//U3+/Oc/m2OEk/mIFQpXk5N0Rx99tNGUmDp1qsn2448/yp577im0yRJ1EIEUU3gI4SXamzjf99Oll15qtFYRjm6//fYGCz4o+Pigba7QlGN+5EHomotyaZu6basWJrta2pELw4Z6zjA7TuPdueOcjrTrLztSISVkcuvXuVMCkDmy5sKzluaO22V3HrnnG9M+H86pCB3mE8r/0e2fO3HOmwhN1CwhEcDqxEZIx/3OH//4R+OWhwXqTz75xFi1DBs2LG+phXgx3AhRviX4MqxpGjMv5mp3+u8di5M+oywS4bZ+3PzH4UorLXWcz8FC/eD+8z+Tw7QclwavTlysdFIo32+LFsjD338oR3fZrFCyoteqVauqEMZFO1VignLNleAiz/odqCQe9VtT2TN+LPzHlW2d1q4IREdABaABsUMbMahE3NWmzFX83XffnRFQIog88MADswR9hx9+uAk+BAOeizD9tcJPorn7zTfRIsWU3BLm7Zbp5lwhP1Bcb9OmjfH5uc8++wjmfi7hPBfnvmh82jZYASN+QXGyT3CkTp06GQfAtg/gl0sACvPCh8dll11m8tq6DjvsMKMBmsus2S+UtXlQL0dLNRcRgQ1zRQSkRFyrNBE4ip9SdATQDLbEPHLHlbnIPI6L3LLjKjNqObnMKaOW1VjzuR/iuPNwxxc3IHF9qDAvWfCqBvLfI9XQpiTbwPPi+++/l8E33ySn9ggfqGK6t7j42O23G4sE2+5Zs2ZlzZ127drFYs5ky9dtfQTi4sXwkQkvBuF/Cy1QNzo7fs9fffVVEzTI8jj+1hTixZhrrgCUvI2FF4MHZmE8F8GLIRzGfNl97tq0uc7Za7oNhkAl+VzcZPEcjIt4xrrvayuAYcuCxeuvvx65qq1uOFVW2njdQPkHTv5K/rb7YTLtm/GB0udKhC9eoj2vsMIKuS5X5Fwl5woWfUsvHSzAVBBw4I3hc6BcyjBByli4cFHO51KQvLWeptJzpdbxLaV/b7/9dinZs/K6sViyLtTYgQpAAw5oXP4VYPyImA5tu+22JnCQvwlociIQRDCKkAyfnJieW8L0HOIlaoMT2WtsyQthboVvTRtpzJzM8YcvPCY8TAYm7XwEoMWZj+knguk222wjDz30kCkNX1mXXHKJrLzyylkRxfAReuSRRxqfWtZsngwISGGC8cMH4ZAXwamf8JGFFiw+RSF8gqLmHVQQ7S9PjxUBRaAMCMyZ5a2alMfPaxlaq0U2UgQQyhDQ74w+a4pEEIAC26mnniosAipVDoG4eDE0P1n84CP8oosuyhJ+2t4xX/AJ+vDDD5tF6uOPP95eMttCvBhC1XfffdekU14sCzY9UARKRoDvFQJ8RaWVNlsvsPCTOlKeYLf3qQfKwJMHRK3SBB7h++eCCy6IXIZmVAQUAUXAj4Cr8MPiUJya1f66auVYBaABRxKtIBjlIIQ/y3zCQxhiu0K1//775y2OjywC/rC6iTk4eWwAIgSLaC+wGmPP5SoILUwEoDD5lmgbZvGW6BcaSlZLiaihBByCbDvZJ8gSUd379u0rK66YrT2DBupqq61GsnpEQCc+IGgDPzTzIPsRwzGC3nyEANUKQNu2bWvcBORLy/ggWPUTQmRcC9AfHgqFMPPnjfPYxZN26AMqTnQla1zjHuO4ywvb82qdO01HDZVmI4fIvP1PDNulqknvfybEeV/6y65Ep925U+l5XIn+2zpxBYNrmefPOs6eCrVt4r1feB9feOGFmUCD1TC+oTpRA4nj4MUQnthAVgRVgU/JR1jPIADlo+KDDz7I4jGUF8uNWsuWLbNwsqnQ0MKCx36g5Xoe5Tpn8+s2PwJgys9SpXAM+p1k21lsSz/cftn0KGlgQffaa6/ZU8G3TZtIt7MODZ7+95Qde3eXTQ/bS6YP/SZ0XjKg/EIAlEpTtcyVuOeoO/e8T6xIRLa42xWpIVWSqVbnSpXAG2szsEi56667jKXT6quvbtwK4i7RzmfkO8iTWNiNy8ot1g4kXJgKQAMCTsAiVwuzUDa0CZiIuQhBoiUEglbYaM+5WyvRJx0m7VbwyEMeTU0/IdykfEyvMD23gkPS8RHMTUC00xtvvDGTFX+b11xzTeY43471v3nFFVdk2mHT2nbZY3dr+8A5hMJWADpq1CiTDCEtHzT5KJdAM19aNGcJ8OQnAhDgJxXipo/TPMdfV6FjBLE2aiUatxaLQnn0Wn4ECJBlibldznEtZ9m2D4W2mIHZRRVMhuwLrVCecl9LL1wgdQOfEvl1irSYMk5Say7RUi933aWW7zLK3IflGl8EZOUqOygGNrhLue+RoO2pdLqDDzpY0q88GroZ7bz7DisEV0DOolylxzd0Rxp4hjh4MRaQ7fOUxeZCfBhwWYuY8ePHZ6GnvFgWHJmDLl265OTFWES3bpUQkua6d3KdyxSsO3kRQKhv3ePA5xbiq/MWUoUX/P1wn7/ut0yYpr8w4VN5cOziIGdh8pG2j6cFekPv/tKiScP9fObZB08J1epcad6suelf2L+mzZrmfC6FLadW0lfTXGEBWyk3AgTEvvjiizMXUTzjx4KjtbblGGtdAjKykJ/LLWGmgEaw03Cf4A10cFwBaJioXTDefkEjPi1feOEFo92I0BPpfiWokD+bfIIaBLGQ63MrV9thkvlAselzpdFzioAikDwC6XdeMMJPaq577n5pcuo1xkws+ZZojYqAIqAIBEfA5cPQ6g3qR9AvALU1Ki9mkdCtIlDdCEyf/5s8OT5/YLNirf953ixBgLrvqn2KJdXrioAioAiUHQGE1MRmgVCuwjcyQajff/9948d8v/32kz59+phFX2QqBLEmmPTjjz/eqF06qQC07FMzuwIryEMw6F/ZzE6ZfWRXdjnLSi8O+//3v/9lJ/KOmPyYc2288cYydOjQvJHkbcZddtlFjjjiCHuYtaUe/HBC+Cv905/+lNMEHe2IMIQ2ai6TlnxlhC0/Xzl6PjcC6Sk/ivw8kYklsuzyIp27qCArN1R69ncE0jOmSnrgM0vw+OkHSQ95Q1Kb7LjknO4pAoqAIlCFCFg+jKbBMwXlMbDGcUl5MRcN3VcEqh+BR3/4SIjqXgo9O2GEbNOxu3Romd96rZTyNW/pCPy2KPtZHbTE6Qs0OG1QrDRddSDw448/GrdMWKQ89dRTsvzy3ne8R5dffrk899xzxvUGAlDcKiI3Ou+884w7n9tuu83sV0cvkm9FOMlV8u2ruRrReJw4caJRsc9lrh2kw//4xz8yws/llltOEGKuvfbasuaaa5pARNZEBHVnS/kEjpjwrbLKKjZZ1taaiHESYW2+dFmZAhwg/MWEH60JN1p9rqy0oVKarbnaU0vn6oa9K+k3PBNmhJ8uLdVOUlvsKqktvV/zxT5b3cu6rwikX3pEZP68LCDSrzwu6fU3k1Rr/SjIAkYPFAFFoKoQcC1PTjjhBNl3330jtU95sUiwaSZFoCIIfD/rZ3nLi+ZeKs2rWygPjR0ip3TbttSiNH+ZEPjV0/SNQhN/mx4lm+ZRBCqGADIlaP31188IPzk+4IADjADUDUKNCzXM3/fYYw/5/PPPSdZoSQWgCQ89EdSHDRsm+GXDn0Uh8/FcTZs+fXomijxlofacLyq69f1GOWhdun7vcpWd5DmEqQhAUdMmmFM+h7ysbOQT3ibZ3lqqK+0JldOP/0vSIwbn7tbsGcZHXtoLbtPkyL9Kaullc6fTs40SgfQP30p6+OLoxlkAzJkp6defkNQeuTXKs9LqgSKgCCgCFUIA3smS+3FgzwXZKi8WBCVNowhUDwJrtF1eHtksWhC86umFtkQRUAQUgSUIWI1PfzBqlOKwbsEPqI0DQy4CsfFDBoN8xSrNLSmxceypADThcSYyl6U333yzYAR0fDQgocf3J85tmeQEI7JEJK98wk+C7Xz55Zc2qZn8mYOYd1CxPtKL1l6MHnroIRP456CDDjIm+vinmDt3rokuj0CUQAREa//ll18EJ/qY8n/1VemrtcXa1diup5+5J7/w0wVj/Gipu/96aXLCJZIK6ebALaZc+927dzfOnCk/aICycrWlsZTLy7Luufvydjf9/quS3ngHSXVcOW+aarhAIA7rU3nDDTeshiZpGxJCINXZewf32y58bc1bmjynnnqq7L///mafwHtKDQ8B+CY0IXAtNHjwYCGApBuw0e3R6NGj5eSTTxYCNsJzHXzwweZytfBi8EuWsPrJxxPaNGzhxdZbbz3ZZJNNqoIXI3AoAmUlRaAYAgTx4L7NF1+gWH693jgQWKl1O1n/z/vJot/mS6ppk8CdTglx4JUUgYaDAHIlBJ3+YI6c69q1q3z99deCMplrxUsQYeRE8A9WgNpwehxPS1UAGg+OgUvZdddd5cEHHzROaO+9917jWxNJvJ+YyNYxPwytnaDuSz+f5gJm4zCURB23hJYlzm/LQffcc4+JjrvGGmsULP4///mPENUdn6OoX8OEYwKPFquNjm4L+OKLL+yubmNEID16lKQ/Ghi8xHGett/7L0tqq92D50koJW4UDjvsMFMbkbyVyo+A0fz05kReqlskdc//R5oe87e8SarhwgYbbGDchtCWfIKPamintiF+BFI9egu/qIQQzLqH0bkTFcXK58O/OT6w+ACAhznllFPqNQqtiVtvvdUIXBC6HH/88Zk01cKLue++J598UjbaaKNMG/PtwItdc8015nI18GJ77713WRfp8+Gg5xseArir4L5UUgQKIdBt6U6y+g79CiXJea1JSgWgOYHRk1WLAILOTTfdVN59910j6OTb2BKKZAhA0fa0AlCen1jfwsMss8wyNmmj2wZfFml00JSnw/jSPPHEE03haB0ce+yx8s4772Q+qJiUTzzxhJx77rkmDarJRx11VKYxPXr0yKx8MtnRIkWLEmJSozGJ8BPtSpdmzJjhHsa+/+qrrwYqk+hkECbvhx9+uNm3wk80LHbbbTejXbPWWmuZa/oXLwJ1770UusD0oP+FzqMZag+B9Py5Ynx/Fuva1yMkPSp6lNVixet1RUARUARKRQD/WNZkjGiol112WcbfOALuIUOGyAUXXCAffvihqapnz55GW9LWWy28GJqslmjz7Nmz7WHeLZrLBMqElBfLC5NeUAQUAUVAEVAEqh6BM8880yi5IV+aMGFCpr0EP4Jcf58EQkJuhC/0fO4HMwXU8I5qgFZgcHfeeWfjk+GRRx4RopGef/75Rn0ZLU8EoC4xqTFTskSao48+Wu6++27juwHTeDQAEBiO8fw8WOYXZ7isCNx+++0mK6ZR7qqALQ+16Pfee88eZm2JcGqJdo0dO1ZcE357je1rr71mosQX8iWBD9Idd1wSJdoN0kQZkyZNMubw7ENEZ6W/48aNM8dW68Yc5Pij7wMGDKh3BS1TtGynTp1qBM0InitBbvsR+rrHQdpz+umnB0lWMM0Ny0yXVmEXOKf9IheeeKxMrmtasOxiF8844wxxfa8VS1/suqsFAJbuuLIi5mrGFCur2HW37GJpy3HdvRfR7PbfZzxDyt3GPVrNlT+2mheoexPvuV4un9lW6spsToRGFoKIsOTee/57EU35uPwl4zLA1cQP284403O/lHuOxNneai2r0L3IO8t/b1ZrPxp7u3hH4GboEs+kFt4GHoYfgSW5Z917BZc81157bdbYViMvhqXPW2+9ZRaS/eNrF5o5v9122xme06aJmxeDl7vjjjts8ZktPCq8GIEtaavF2H2X23OZTLoTCAEXQ55RlcIRrSLMK+MiPtTdvrn7lepjXH2rVDkuhrU6V+bPXxAZXp1XS6CrprmypFW650dg5ZVXlr322ktYzMUlIYJPrHKtpQrKcmh74tLHBuBu7K7jVADqn0UJHPOBROTRLbfcUogiit9LPshd4Wffvn2N5ieCTD9h9tuuXTvBhJ5AR/Pnz5eRI0eaZPi1Y/Jjas9D/K677hJecDD21OcnNEX92qL+NBx//PHHgpbnccfldiAOw4tPLExLXXIDGKFxYNWtuQmfffZZkxQffNyo+CyFEWdVYp111jERzEhgzZyLmcXDKGFWn4vQeEALloc5eFWaGBN+Qeill14y48iHTSm0TMvmcuup0aLdDv7fC/LG2EmlVG/mEKZuuUwNSyrYy5xrXOMUgFbDnLEY8eFoCe1xniEsYrhCPXs9ru3q7drIDcfu6hUXTAjeqWmdtBr2ttz48ddxNSFnOfjvwyQZTa2o5L8XWRGNUwBaTXOnmtoSdbyqKZ97L9IuPvxVAFpNI1S4LZiHYf7O78UXXzQ8gutTE+1KNEX79+8vWO/4qRp5sVdeeSWnAHT8+PGZ5rsL0eXgxeBLC/FiLEbz3M31PMp1LtNw3QmEQC5+KFDGGBLFLQDlGZuPV9a5UvqAVXKuwGfFKSxnPtAfaNGihZHB0XmVG7pKz5XcrdKzIEBcA+QwEO9fBJ4uIVu5/vrrM6dYrC/Ht3imggawowLQAoN0zjnnCL+whClVEEL6jiYnD1v8M0ycONFoH6CpWSi4AgzGPvvsYyY8GpyoO8Oc4+zWNYfiXKlCs3z9QIDLj/oPPPBAkwwBKf5KP/vsM3NMH9BCfeqpp8wxvqYsYb5vX1SY+NMnIpZBu+yyS0YA4Wom0E/y2BUNW1atb9E+wTVAqWM5b1F0v0nzAgprC43FFltsIbkE+oXy6LXCCLDqx9z44IMPyioA/fu2G0irZsGEn7bFF26+rjw4cqz8/Ns8aeE5oT+l71oyYMhX9nIs2379+gXyeRdLZVqIIqAIVASBcvJiaHyfdNJJ5ofw8/vvvzcCF/gwFmPRFM1H1cSLXXHFFYLw85NPPjG+1VkQdnkx+1GPtRDm/JaUF7NI6FYRqBwCCzz/6QOnfis7Ld+9co3QmhUBRaBBImCFnzQevoQfCwzugjzHCD5RsCMWiw0E2yA7HEOj83N2MRSuRQRDAE01NBH4hSE0lTBJz2eWXqwstDWJbhqUMA3zEx8JlAPTPXDgQBPJE600iJtts802M/sIQ11T/qFDh5rz/BFcAO0LGHGIm9L6paBMSwg/MWfPd9OiFfvvf//bJs9scQDMBw4fAHzM5NLkyCQu4w71W40hProKfVi5zSCoAT+itpZKcwc9Lq3mFfcR5taT9g4uu/Uumd+itXs69D59cAX0oQvwZUArgI88CCzdIF9xC8krNWdslzHJtAsGvMBs/3r16iX8MHewc8vmiWvb/teJ0nf4y6GLW6ZlCxl69V9lVI/NpcuYEbLm6OGyz18vllltO4QuK18Gnj1Boh778xe6F3luxUUwH5WeO9YtCm3RoD2lj2y+e5GSXWaz9Jq0hKQRgMfJxecUa0c18GIshCEAxeoGix8sauyiKe8L+/6wfthtn8rBi+HqJhcvhj9V3LXw7gYz+2zEWslaC9lztn26DYYA42vdrfAOi1OzLlgLFqeK+xkIv2PnBjXU6lx55sdP5JnJn8lGHdeQVVq3DwN56LQu71xLcwX+xs6VFjOjB0bVZ9CSKeXOFf931pJU5d+L+7lS/hYnWwOKZFjDEeioUs/+ZHtcem0qAC0dwwZbAg/57t1LX23E3B4B6KxZs7L8ifLgtOb13JiuwA8fUJZswCd7fNppp9ndelvMuPIJQGGorcDVzYiA2TKGfAhY4aqbJol910QZpiNsO/AdWyrVzZso6UHhhFmp1bvJtnvsXWrVZc1f7nENO1Zxdxb/bfYDlrZYAaitB59u5aC091FVd9O5kYteeeI3ssof95f0ew97ZaRlk1++lab7XRi5vLgylnovBm0HTFul545tazW1xbapIW6L3YsNsU/a5soiEAcvxmIQGqtYEhHkwA2EYN8d8B2u+Tu9LgcvhiAiFy+Gz3vLi7k8EM8mK7ioludlZWdE+Nrhty2Vmx+y9SSxdb8bqK8W58pUTynhhYmfez7T0/LQuI/kgnV3Kyu0YGipVucKz5eopM+gJci5c4V9xWYJNtW0h5KXUjgENAp8OLw0dQ4EttlmG6NWzSUYbbT8MHeGLFPm1zpwHfKTzhXotG3b1mgq+V9gCDLRFlWKjkBqK88NQbPmoQpossN+odJr4tpBID3E8yMz8YfoHfK0kdKP3SIy//fgSd+NlPTnQ6KXpzkVAUVAEVAE6iHAx6nlswjqxCIPvNjmm2+eSYtLIr97JeXFMvDojiJQEQQeGjtE5tUt9ln5+fQf5aOpYyrSDq1UEVAEFIHGgoBqgDaWkS5jPzFR2XbbbYVgPRCaCAhFbXR5tBL85v2oaWPObslqKHCMhoAVnNrrbPfff39Tj3tO98MhkFp2OUntf7ykH/WEUgEotcWukupWPxBXoaxpL2p8+qM3Jf2N5wvW25fmninKCp0l1bOfpHpvLqmm+tgphF+1XEv/NlvSrzxWenNmzcgqo+7FB6VJj96SCimIzypEDxodAulJ46Xu9ksj9bvJ0edKatU1I+XVTIpAQ0EAASjBMS0RYBJz9EGDBplTBJv0U2PkxabP/03emPylfPrrePl5/ixpmmoiK7VaRjbssLps3bGbNG8SXXvMj68eKwKFEPhm5iQZ9PO3WUkeHPOh9F52VWmm8zALl2o7ePHHz+SZ8cNDN2upZi3lxj6LY2eEzqwZGjUC06dPN8Gi4wAB2c3aa68dR1ENsgyVRDTIYau+RhPQyQpA0TDAL6GlXNG4YcqHDRtmkhDIZMiQJVphVviJeT6m8zfffLMtSrcxINCk9xZS5zH86SfuEFnwu2aev1xPmyS13T6S2rG//0rB47p3X5T0y4+KLFwSqdxk+NkzvR81VNJvPi1NDj1NUp27FCxHL1YBAp7wOrVdCa4P0P7E3cK0Je4uTK+mTpb0Oy+WVnYVwKNNSBgBL0iEzIloAVBCRNiEe6nVKQKREcA9UI8ePYz/TwrZeOON5auvlgSewy+onxobL/bmpC/l/u8HZzTuLB6T5s6QT6aNk6c9gcZfum0v3dt1spd0qwiUBQHcPvz7+/frlc1cfMkzid9z5XDKB/UK0hNlRQCt3ZkL83xDFag5ejjaAoXqpUaBwKeffipnnHFGLH0l8PSjj3rf642UVADaSAc+7m4TaMgSkVTxCWoJcyyixRMwyZIbuAkBaKdOneT55583l2+77TYhunX79u0Fn1FWAPr6669L//79Zfnll7fF6DYiAk022EzSa64j6XdfkvQXH4v8Mslz0ei9ltt18DQ+e4nR/Fxx1VCl1738iKQHPls4zy8/Sd2tF0uTEy6W1CpdC6ctcpWVMBvAAS0WhPBK8SGQWmk14ReV6oa9U1/4+Xth6YFPS3rDrSXVrrzO/vO1HV/Co0ePNpcJLuY+m/Ll0fOKAAiMGjVKpk6dasDYeuut1eG8TouqQsANdMZz7T//+U+mfR9//HFV8mLwi9Y3aBy+zjMd9u08N2GEPOyZGxeiX+bPlstGviDnrfNHWXeZJTxroTx6LTkEhg8fboJf4vIBBYmGTO9M+UZGz/ItEP/eoafGDZetVlhLlm3RpiF3saJtnzpqjNR5rkDEU/hYvmdp3xsV7YhWrghERGCZZZYxz0u/qxuCPSJjacykAtDGPPox9Z0bC+GkJRgUPz333HNywgknZE4TOOnBBx80H5KYbG255ZaZa2uttVYmovcXX3yROY9mqAo/M3CUvJNaellJ7fp/It7PBCDwVqNTXpCoKJT+6pPiwk9bsKd1WvfADdLkrBskhXl8REKDeJdddjG5jzvuOLnzzjsjlqTZ4kYgPX+upF96JH+xnk/QtCcwTx1wUv40Zbxy3333yVVXXWVqeOCBB+TQQw8tY21adC0hcNZZZ8k773jCfY/GjRtnom7WUv+0Lw0XAXgxV8sTvovFZ0u856uRFzv66KMzZn02GJJtc1xbTI0fKSL8tHUt8haDb/zqDfmnZ6bapll0HsWWp9v4EDjiiCMEpQqCIy1Y4LM0iq+aspc0d9GCgvNxbp13/YeP5MQ/bF32ttRiBTutuK4cd9F95vmHqe/UmdNrsZvap0aGAFYdBDn0E0GoTz75ZONacIcddpDDDjtMcHljI8KjTMY381133WXetSze/+1vf/MX06iOVQDaqIY7u7MwEWGFRh06dDC+ON2S3n77bZk9e3bmFCv5Nvo7TvgJXPTiiy/KMccck4kgR9TTE088Ua688kqZM2eOvPXWW5n87Pz000/Gh+jdd9+dOY+mllJ5EDCR/rwV9ahUF9ZXpGcWnf7wdaNpGrVOzVe9CBhN4Jm/Fmxgeug7kt50Z/XNWBAlvagIKAK1jkCcvBj8lCW7MI0P9mnTppmI742VF3vsh4+9GNvBaebCuYKPv/6r9Q2eSVMqAgERwNXCtAW/FUz99uSvZecV15GubVcomE4v1kegmafMYb5rfr/Uqmm44K/1S9QzikDlEcClYC5FsOuuu04mTZokp5xyihx++OH1Goq25/bbb2/iqJx99tny1FNPGcs3FpQaK6kAtLGOvNdvzEDRfgpD+IwgGJFLL7zwgjnkxkRIac2S8QWKU/5HHnnEMN8IOXfcccdMVkydxowZY6676tmHHHKIuZEzCX/fKWamiobohAkT/NlMWc2bNzdRUQm2ZH2M1ktY5hOuZkMl2xF7Nz2fjjLh+9DFLvpksBGAhc74ewY3cBan3HGF8WkSUZs1V3vcsnNdL/c5d+7QFve43HUHLZ+FD7SNmnmCz1Xffl6C6BLPeew2mbDHcdKkaVOzWhm0rjjT+e9F5o3LOJdSF+Pkn6ellFdKXtpS6Xkctf2YnM/2FuzCOeVYUtsPnqZm6zbtBbOfOAk8XUzjnDtxtlPLqm4E4ubF0I4jCrwl+DDuoYceeigRXmz+/PlmEdvWb7c///yzWQRHc8//3LVp3PvJnit1O3PBXBnpRdcOSx/8Mlr2XXmDsNkqkt7FrZLP+rh5L+ZJPn7H7XNFQA9YKUogbtDXqYt+kxd+/TRQ7tu/eFOOXbZ3VtquXbuWxKO4PInOlSxoQx1M9xaVolCdxzegNGS186KUkVSeaporSfW5odUzd+5cQREN14G5hJ9uf+BRL7/8cuM+5OWXXxYVgLro6L4iEAIBBB7W5B2V6s033zwjAEUNe/fddzcCTop85plnsgSgMEqYxWP+fu655xrGnHSsYlgimBJOf4MQGg6ugNXNgyr4Dz/8YD4KYEYqTTyw+NUCjXr+SekXoSMLx4+WTz2fZAS7ikJ8ZFniJe2OK8J41xeaTRd165YdtYy48rna1nGVWWo53KNvvPGGXHbZZfLYXpvJ6t2DiapaTRkvl+67szw1epLxVdezZ09ZaaWVSm1O0fzuhxMf4+74op3OgkkcxMeFW3YcZUYto5raEqYPLJyxUPfNu2/I8KMWu7wIk5+0Bx90kLTfYGM56qijhPdSKeR+jKNt545vu3btSvowLaVdmrdxI+DyYttuu60JfgTP09RbXIIvYp4iAIXKzYt9//33sueee+YcEHgx/C/z/nbvHZs41zl7Ler2m9lTQml/2np+/G2aTJsx3USJt+cawhbhdzlwDNJ3PrB5DsZF8Dvu+9p9/laqj2H69sEHH8izzz4rt99+eybb5ledKKtsnS3UzFz07fywcIbs+OdD5YfXP8pcwYXP+uuvL126dMmci7pTybnCswkrwbgIM2BXYOeWG+dcIf4AgXvvef9ZWaV/eBcF07z8AwYMMNp4DcmysdJzxR1P3V+CAK4CeUYG/Zbm25hgiXy3cc+0bdt2SWGNaE81QBvRYNNVVgjefffd2HptI79TIH49XfOr3XbbTVZbbTUTnGbkyJHmZoMxhgF2ieA122yzjWHKOX/ppZcK0UzR+ITZycdIu2XofuUQeObxR6Xf+quEbkBTLzLzs55Q/K/nnBM6r2aoLgQItIFp5darriD7BRR+2h5cvXUvefbb/8k53jxgZZLnhpIiYBG46KKLjK/NVUuUSb/33ntCsL5SBaC2XbpVBEpBoNy8mA3yttlmm5lgB5jAwWs1Rl5srhetOQphMj+/bpG0bhrEniFKDZqn1hG46aab5KOPlggvO/bpHlj4abFZ/6T9ZMK7I2TRvMWL/hdffLH85S9/EXznKiWPAAtL8Kttt+0ZuXIE4ixaXXPNNZHL0IyKAAjg4xbClU5QmjhxYl7N+qBlNPR0KgBt6CNYwfaz0mad8Xbs2FH69OkjF1xwgWkRKxH4nYIQjMJ0Q2genH766WY/3x9apC1btjSXcdwblND622qrreolZ7Vu0KBBZoUErVPMwypBrNDY1WtWyfnVAl183T9EHhwQuivptu3kvDPPD53PZvCbKbvjyspynOSWHWe5Qcty5w598/c9aDnlSnfjjTfKsZ6P3+UeCT8PVl66jdxz2F6y2433lat5Bcv1PxPixNZfdsGGlOmiawpb6XkcpYv4k8aNyscvPB0lu8nTr18/OWjbXWL5YHTnB/eii6l7LXJjNaMiEBIBPy+GBt53331nSsEKx1JSvBgaJbl4sSlTphhhEHwQ/I9779g25jpnr0XdLtdqqUhZW6Q8DbWWiz8uIxWQYCYwtZqSPIfi5oGCdiVuvpb5kO+5Wo65ErSfQdM9/vjjxjrm1ltvFfHc7Lc7fsegWTPp2nTqILtdfJLMfWtxUFgCyFqhRyZRiJ1qmStxz1HmQz4N0DjnSu/evY1Czyn/GSCFvbjmHhQsjNAKXnvttXMnqKKztTpXqgjikpuCUhmWa7zzscTD12chQlkFlxwrrLBCo9X+BJ/KSIIKjYxeazAIsKpp/drg/w/zQqt1MGPGDDn++ONNX1z/nq+88ooxey/l5Z0PIEwpiHDmp489M+uNNtrInObFUyl1bzCyWOD7BYFtLVC6ey+pa+apZy0MF5Gzeff1pWUJqvdWSA6GMN3lHNdylh1kDmCmYAVZvOji/sgI0oZiafqlZku6dbRXyv6dWksTLyBAqn0yzv5dxpv7sFzjy4dbucouNh72Oq5BoHLfI7a+cmyPO+44OXb3naTuxmja4v/4xz8k1SWaq41C/cGUqNLjW6h9eq1xIODnxewiMx/993nmsvfff78BwvIfHJSTF0O7NRcvxocXH/5QvuduOe6nHkt59+n3LWXWwnmm7qB/6y7bucHc3wg/rZkv4w6fUAvk/1ZwhaHlmCvlwGyvvfYSfq9O/ELu/X5QpCrabbue3HPG5bJ8y9LNVeEl4SmhWporhdxelWOu7OG5+XjcC64WlvhWtd+kYfMmnb5W50rSOJazPuQJBxxwgPz73/+WSy65xMR36d+/fz03cLgTeeyxx8QGl/bHcylnG6ux7Ghfq9XYE21T4gjAzFqC8bLMF+dQr+bnJ27A1157Tc3a/cA04ONUi5aS6rOVpIe8EaoXqU3Cr4SHqkATJ4ZA+jdP+PnqY9Hr84TndS8+KE0PLawdHr0CzakIKAKKQG0i8Oijj2Y65vJhfLyOGjUqc83daUy8WJNUE9muUw95bsIIF4Ki+zt0qn4NraKd0ARVgQDC98fHhReW2cYv8FwxPDTmQzm1e2HtLptet4qAItB4ECCeCnFFsJa65ZZb5J577pFVV13VuBMEBWKr4LoBRSyIBZlDDz3U7DfWPxWANtaRL7HfmJXn8iWKlhEO91GtdgmN0Oeee86cQgNA/Xq66DT8/dRO/SU9aqjIzGBREVN9t5ZyaGQ1fCQbZg/Srz8pMrvE4GKffSjp0V9Iqus6DRMEbbUioAgoAgkjAC82bNiwerWussoqQmBKV2OORI2VF9vbi+b+4c+jZdK8YO+pDduvLn07rF4PVz2hCERB4IlxQ0NrIPvrGfzLaNl5xrrSo92K/kt6rAgoAo0YAWQvZ5xxhqy++upy3XXXGUEnPu/5uYTG99lnny377ruve7pR7qsAtFEOe+mdfvXVVzMmuba0Tp06yUknnSTbbbedPZXZ4kcEMy20QrkhiVq2zjrJCzqoHw3UShDmZ0SchjDfjivSdCX6kqvO9JqbSd3Lnhbg3Nm5Li85t8qa0qRdF0mVOA5Dh3oC199p/PjxWeO67LLLxmZiwtx9/fXXbVUV2bJqZ/17YebDy65aKD1rhtS94AlA03WlN+nWG6TpzgeWXk6REqyrDpJ99tlnWXOHyKprrbVWkRKCXZ46daq48zRYrnhTWVM3BCEN2Swy/cskqRvzUyRwmrw7SFLf/BAprz+T65f6nXfeyVrswzfY8ssv78+ix4pA2RCAF3P93vGBg89bTOH85sM0olp4sTFjxmSeu27wzHLyZ5vMbSmP/DBCZiyYW3A8VmvTXnqstrK8Nr4yvGLBxuW5CH9gtXtw8ZJr7PNkjfU0vG0u/69RK0HRAs0mS7aPzPlyzhVbXxzb6fN/k6fHfCB1Qlit0uiGUf+W/qttWFIh1TJXMN3dcsstS+qLm5n3sevmw84b+luOuTJiyrfy0+RsAZPbnnz7rZo2l9emN4xnS7XMFZ5nLOopFUZgv/32k5122km+/PJLY/3BljEkLgs/or8vt9xyhQtpJFdVANpIBjrubrrm7/hXQ+OTlYd8xMc3DvhRy4YIhlQJAeibb74p/JQqicDbIjfcG2sDCMZlA3JR8CabbCKDBw+OpQ7MCHmhKCWEwIDFz4iEapO///3v5mfr++tf/yrXXnutPSxpO3z4cJ07JSEYU+bHvWdOGeiQQw7JKvX5558XN+hM1kU9UATKgIDLi1199dXSt2/fgsKvauHFnnzySeHnp2p51z7gb5geB0IARYiffoq2UJWrgv/7v/8zPu381xCAVstc8bet3Md3lbuChMrHVzDKC3ERfhAx9fXT/Pnzq26uvCLX+ZupxwUQQDFh4MCBBVLoJYuA9THbUPzM2nYnvVUBaNKI10B9X331VSbC6IYbbij8gtAf//hHuffee40GApHKTjnlFOFGLTett956QptxCvzpp5+Wu7q85aOVyA8ieJSr9ZA3k17IiwCrxyuuuNgUCLM+tO1qlegn/YXGjRuX0Qat1f6Wu1/uvUhkYvzh1SqxMIXQA+3zCRMm1Go3E+sXH/hWu0rvxcRg14pyIODnxbbYYoscqeqfqhQvts022xheDCsh91mEIMRaxKAZqhQeAfADR4j3Ge+1WiS0wNByRpN57NixtdjFsveJAGSdO3c29WAh8vPPP5e9zkpUoHOldNSraa4gBFVSBOJCQAWgcSHZiMpxNQ523nnnwD3nw5EViSFDhggrcmjssWJXbsIkp1u3bnLEEUdIJZnrb7/9NiM43m233TLCu3L3v1bL/+WXX+Tjjxc7lcf01NUoXmONNWLrNuZkCOsrSdwz1vT2mGOOMS4UKtmehl63ey8iDFhppZUyXdp8880z+6Xu4IS80nOHaM8QQl/1+1PqiIpx5WIXW44++ujMwgQlx/ncKb2lWkKtI9DQeDFccMCLHXfcccL72xJmznZBuNLPS9umhrYl+NX7779vms1756CDDqpIF9q1axdrvTxjLe9DwZg5YwbPop7OlWhQozBgLaTWXXdd6dWrV7SCSsxlFUJKLCaT/dhjjzU+ju2Jt99+27hPwGWUzhWLSrjttGnT5MMPPzSZevbsKSgUVYLUbLsSqNd2nSoAre3xjb13+FexvlTQSAvr6wfBH8IcCDP4JASgFgQcBFeSbrrpJvnXv/5lmnDkkUcalwCVbE9DrxsGDhwh/AhdfPHFZj/uP5gnxq6SdNhhh2Xum8svv1w6duxYyeY0+LpvvvlmEymRjjCHeC6Vg/jYr/TcWXvttY2PQHxTVrot5cA46TJZSPvggw9MtdyLLOwpKQJJI9CQeTH/u5qFdLs4rc+oaDMJX29E9oVYEP7nP/8ZraAqy3XppZdmtWj77bc3ZtMsTOtcyYIm8MHIkSMzi6G4zBgwYEDgvNWc8IorrshqHkHgcMeAFqPOlSxoAh+MGDEi852Ob+m43EMFboAmVATKhED1RNIoUwe12HgRYPXVBtVA6ERAljBEHrtCjPlgpQOEhGm7plUEFAFFQBFQBBQBRaDSCCgvVukR0PoVAUVAEVAEFAFFoCEioBqgDXHUKtjmHXfcUfhFJfwUuWZbtpwzzzxT+Pmpffv2gnmUkiKgCCgCioAioAgoAoqAGD5MeTGdCYqAIqAIKAKKgCKgCIRDQDVAw+GlqRUBRUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUWgASGgAtAGNFjaVEVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBEIh4CawIfDS1MrApERILq09Znao0ePyOVoxsUIrL766nL22WebAzcCfC3iQ0RXHLpDbdu2rcUuJton7sXWrVubOmv9XuQeqaury/heThToGqzswAMPNEHX6NrSSy9dgz3ULikCySJA9Obp06ebyN7J1lw7tREY0fJDa6yxRu10zNeT448/3kT6JjilUjQEVlxxxcxc+cMf/hCtkAaQ68QTTzQxK5o1U1FH1OFaaaWVMnNlrbXWilqM5lMEqg6BVNqjqmuVNkgRUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFIEYENAltBhA1CIUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFoDoRUAFodY6LtkoRUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEYkBABaAxgKhFKAKKgCKgCCgCioAioAgoAoqAIqAIKAKKgCKgCCgCikB1IqAC0OocF22VIqAIKAKKgCKgCCgCioAioAgoAoqAIqAIKAKKgCKgCMSAgIZGiwFELUIRIMryl19+KePGjZP58+dLz549pUuXLrFGNZ01a5Z89913MnbsWBMJfL311pMVVlihwYOfBHZJ1BF1IH7++Wf59ttv5ccff5TOnTvLuuuuG3t06TFjxsgPP/wg1NW9e3fp1q2bNG/ePGqTqyZfEuOaRB1RAdW5ExU5MfdCue+7JMYnOgKaUxGIF4Ek5nsSdcSLSrjSknjfVAMvmcQ4JlFHuNGNN7XOlfjw1LlSOpbV8FwpvRdaQmNBQAWgjWWktZ9lQ+DDDz+UW265RRAyudS2bVvp37+/HH300e7p0PsIVP/73//K/fffL7/99ltW/hVXXFEOOeQQ2XvvvbPON5SDcmMHDknUEQVvmIW7775bnnnmGVm0aFFWEQgoL7nkEll11VWzzoc9+Prrr+Xmm2+WTz75JCtrixYtZIMNNpDzzjtPlltuuaxrDeUgiXFNoo4oeOvciYLa4jxJYJdEHdER0JyKQLwIJDHfk6gjXlTCl1bu90018JJJjGMSdYQf3Xhz6FyJh0fWuaLfqPHemVpaQ0GgqfeRfUlDaay2UxGoNgTee+89+dvf/ia//vqraRoafPw4njdvnhE8sb/JJptE0gZNp9Ny/vnny9NPPy0LFy6UVq1aGe29jh07Ci/uadOmyeDBg4V0ffr0qTZ4Cran3NhReRJ1FOxknovMjbPOOkveeustM3YIJHv06CELFiyQuXPnyi+//CJvvvmmbLTRRtKhQ4c8pRQ+/emnn8pJJ50kEydONAmZl2h/QsybCRMmyDvvvCObbrqptGvXzpxvKH9JjGsSdUTBW+dOFNQW50kCuyTqiI6A5lQE4kUgifmeRB3xohK+tHK/b6qBl0xiHJOoI/zoxptD50o8PLLOFf1GjffO1NIaFALeS1FJEVAEIiDgCZbS2223XXqLLbZI77HHHulRo0ZlSpkxY0b6zDPPNNe4/sADD2Suhdm59957M2V4gtC0J7jKZJ8+fXra0+DLXH/iiScy16p9JwnskqgjKs4DBgzIjNt1112X9gSfpijPpCntCSUz82rXXXdNz5kzJ3Q1U6dOTe+5556mjp122smU6RbiMdBpzjM3SWfrd9NU634S45pEHVHx1bkTFbl0utzY0bIk6oiOgOZUBOJFIIn5nkQd8aISrrQk3jfVwEsmMY5J1BFudONNrXMlHh6ZUdG5ot+o8d6dWlpDQkCDIDUocbU2tpoQeOSRR4y/z1QqJTfccIPR4LPtW3rppeWaa64xZsace+qpp4wGp70eZIvGJ6bv0Oqrry4XXnihLLPMMpmsaO1ddNFFRuOUkwMHDsxcq/adcmNH/5OoIwrO+Bp6/vnnTdatttrKaII2a7bYGwlzacstt5Srr77aXPcE6fLqq6+Grubll18WTwhq8p1++ummTLeQzTff3GiHco50aIs2FEpiXJOoIwreOneioLY4TxLYJVFHdAQ0pyIQLwJJzPck6ogXlfCllft9Uw28ZBLjmEQd4Uc33hw6V+LhkXWu6DdqvHemltbQEFABaEMbMW1vVSCA6cQLL7xg2oIJ8R/+8Id67UKoZf1/TpkyRQYNGlQvTaETH330kcycOdMk2WuvvaRly5b1knMOM2no888/l9mzZ9dLU20nksAuiTqi4vrcc89lhOGHH354zmL69euXJTzPmajAScznIYTknqZnzpQIWi3hT6ohUBLjmkQdUbHWuRMVOZEksEuijugIaE5FIF4EkpjvSdQRLyrhSkvifVMNvGQS45hEHeFGN97UOleW4Fkqj6xzRUS/UZfMJ91rfAioALTxjbn2OAYEvvrqK6P9SVEbb7xx3hKJ1N66dWtz/X//+1/edLku9OrVS2666SY59dRTBU3BYkQgHZzcVzslgV0SdUTF+bPPPjNZ27dvb/y55isHv7HQ6NGjhWBGYeiCCy6QSy+9VE477TRp0qT4Y94fXCtMXUmmTWJck6gjKmY6d6IiJ5IEdknUER0BzakIxItAEvM9iTriRSVcaUm8b6qBl0xiHJOoI9zoxpta50o2nqXwyDpXFmOp36jZc0qPGg8Cxb+MGw8W2lNFIDACX3zxRSatDSyTOeHssMLWtWtXc+abb75xrhTfXWqppaR3796y//77S6dOnXJmwLTJRvhee+21BaFatVMS2CVRRxScPf8o4vmKNVmJ9I7Jez5aa621MpfCzh1cJnj+aWXHHXfMlOHfGTp0aObUZpttltmv5p0kxjWJOqJgrHMnCmqL8ySBXRJ1REdAcyoC8SKQxHxPoo54UQlfWhLvm0rzkkmMYxJ1hB/deHPoXMnGMyqPrHNlCY76jboEC91rXAioALRxjbf2NiYExo8fnymJ6NqFyAovJ0+ebCLDF0ob5hrRwvEzOnbsWJNt5513DpO9YmmTwC6JOqIA+Ouvv2bcFKy00koFi7DzhkTjxo0rmDbsRXx+Xn/99SbbCiusYATtYcuoRPokxjWJOqJgp3MnCmqL8ySBXRJ1REdAcyoC8SKQxHxPoo54UQlfWjW8b8rNSyYxjknUEX50482hcyUbz6g8ss6V3DjqN2o2LnpU2wgsjrxR233U3ikCsSPg+tp0AxPlqsi9jk/PXL48c+XLdc6LAClvv/22wAgR9IggOU2bNpUzzjhDvGjeubJU3bkksEuijijAzpo1K5Nt2WWXzezn2vHPm1xpwpxjvnz77bfGFHj48OEm6zrrrCNXXnllSXMyTBtKTZvEuCZRRxQcdO5EQW1xniSwS6KO6AhoTkUgXgSSmO9J1BEvKuFLq9T7JkleMolxTKKO8KMbbw6dK9l4RuWRda4UxrGxf6Nmo6NHtYqACkBrdWS1X2VFwDIizZs3L+pjsUWLFpm2sNJeCn388cfyr3/9K6sIzJcbigkzDU8CuyTqyBqEgAdz5szJpCzGZLjzJg4fnfiTJfKlJco/5JBDpEOHDvZU1W+TGNck6ogCtM6dKKgtzpMEdknUER0BzakIxItAEvM9iTriRSV8aZV63yTJSyYxjknUEX50482hcyUbz6g8ss6V/DjqN2o2NnpUuwioCXztjq32rIwIWIEU/lOKEUJSSwsWLLC7kbYEOcLxN5G98SEJvfvuu8ZP6LPPPhupzKQzJYFdEnVEwc22i7zF5o47b/D1WgqRv2PHjmbeELSLlXPm0vnnny9/+tOfBJOghkAWv2LY0RcXvzD3XRJ1RMHatou8xfrv9l3njkgS2CVRR5R5o3kUgXIgkMR8T6KOcmATpkzbx2LPdMp0n+th3mm52pMkL2n7SDuK9dPtY5h3VxJ15NziSnYAAEAASURBVMIxyXO2j8UwpE0ujjpXskfJ4sjZYli6OIaZj9k1Jn9k+1isf7TM7WNDmivJo6o11hICxaU3tdRb7YsiUAQBu8KaLxnO5CGrvRfkhei+UGxE+HzlFzu/3377CT9LmDJfccUVgu8WfDpiVr311lvby1W5TQK7JOpwweVjwh1n9xr7MBisVtt2ca7Y3HHLa9WqFVkiE0zQHXfckckPc3TrrbfKM888I0QWPf300+Xee+8tqs2cKaBCOxa/YtjRPBe/MPddEnW48OnccdEoz74dU0ovNnfceRPmvkuijvKgo6UqAuERSGK+J1FH+J7Hm8P2sdhziVrdZ1OYd1quFifJS9o+0o5i/XT7qM/f7JGzOBbDkFwujjpXcuPI2WJYujiGmY/ZNSZ/1BjmSvKoao21hIAKQGtpNLUvJSGAWcQuu+xSsIy33nrL+Nxs06aNScfLkYiChaJ5I+CwZAWo9rjULVHiL774Yjn55JNNO+6+++6qF4AmgV0Sdbhjd+edd8pjjz3mnsraP/zww+W4444TlxF150VW4t8P5s2blzkd97yhHWeeeab8+OOPMmTIEPnuu++EuU3k+GqmJMY1iTpcjHXuuGiUZz+J+y6JOsqDjpaqCIRHIIn5nkQd4Xseb46k3zf5Wl9OXjKJcUyijnzYJXVe50o20lF5ZJ0r2Ti63yJxf2uU87mS3Qs9UgTCIaAm8OHw0tSKgEHADWAzbdq0gqi45sWWgSmYIeTFXr16CT9ozJgxMnXq1JAlJJs8CeySqCMKam673HmRqyx3XrVt2zZXkpLP4QPU0rBhw+xu1W5d/Fx8cjXYxTfMfZdEHbnaW+yc2y63b7nyudjo3BGjGW9xKhd21TY+tr+6VQTKgUAS8z2JOsqBTZgy3T66z+1cZbjPrjDvtFxl5TpXLl7S7aPbh1xtcDEI8+5Koo5c7U3ynNtHF6dcbXBx1rmSjZCLo4tTdqrFRy7OYeZjrrKSPOf20e1Drja4GDSkuZKrL3pOEQiKgGqABkVK09U8ApgJ77PPPgX72aTJ4jWDLl26ZNL99NNP0r59+8yxf2fSpEnm1Kqrrmq0R/3X4zheY401ZMSIEaYo2lPNgW2SwC6JOtxxW2+99YxPTfecu0+0dYh5gv/N6dOnC+NUiOy8Ic1qq61WKGnka8wbS8XaY9NVcpvEuCZRh4uhzh0XjfLsJ3HfJVFHedDRUhWB8AgkMd+TqCN8z+PNkfT7pljry8FLJjGOSdRRDLtyX9e5ko1wVB5Z50puHPUbNRsXPaptBFQAWtvjq70LgQA+Gs8444xAObp27ZpJ9+WXX8raa6+dOXZ3MC3AvBiyQjD3eqH9hx9+WF577TWZMmWKPProo1Jo9dFd4VtxxRULFVvxa0lgl0QdLpD4XQ3qe5W24bsV35uFaNSoUZnL6667bma/2A7z5fLLLzfm7TvuuKMcf/zxebM0pHlDJ5IY1yTqcAdE546LRvn2y33f0fIk6igfQlqyIhAOgSTmexJ1hOt1vKnpn6Va5iWTGMck6rBjVYmtzpVs1KPyyJSic2UxlvqNmj2n9KjxIKAm8I1nrLWnMSLQs2dPadeunSnx/fffz1vyxx9/nNEM3GCDDfKmy3WBwDnffvut0RYcPHhwriTmHC+wkSNHmv3llluuqrU/aWQS2CVRhwE8wt/mm29ucmF24jJw/qIGDRpkThG9vXPnzv7LeY+ZAwjdWR3Hr2chQhBrqVu3bna3ardJjGsSdUQFWOdOVOREyo0dLUuijugIaE5FIF4EkpjvSdQRLyrhSkvifVMNvGQS45hEHeFGN97UOley8YzKI1OKzpXFWOo3avac0qPGg4AKQBvPWGtPY0QAc/ntt9/elPjBBx/IRx99VK90girdc8895jz+WNDGC0Mbb7xxJjkRuikvF3ENrT9o2223zZWkqs4lgV0SdUQFlUBDTZs2/X/2zgPOiur642cXqQo2bFEBC4gVe0ui2HuLLVFjiUYTSzQxmhh77yb2GDXqP1ZQY0HEjsSCqIAdsIGColQFpO/7z/eu5+3d2Zn35r03b/ftvnM+n9333sydO/f+5s7Mub97ijv8n//8Z6NsnVonlr9qIXrwwQfr5kSfhGnYcsstXdmJEyfKE088EXnc1KlThaRZCEHh/fEWeUAFbGyO69oc5ygWShs7xSInLsFXOe87Wlbu61N87+1IQyB9BJpjvDfHOdJHJnmNzfG+8d/tLaVLNsd1bI5zJL+y6Ze0sdKAaSk6MrXYWBE3p7Q5asOYsm/VhUC7CwKpri5bbw2BdBBYZ511HLlEJviXXnpJVl11VdEYKpMmTZK//e1vgksTctxxx0m/fv2anBj35Kuvvlruuusu2XbbbaV79+7ZMsSKJMvhe++9J99//728//77QrxAtiO4L19//fXyyCOPuN89e/Z0rs8oSZUuaWAH8XzYYYc57CALd95550bdTuMcjSpM6QdZFufNm+eu69dff+2sQMmUyHau9+DBg+XKK6+UTCYjWHMyjrDgCEuusUNIhiFDhrj6WOHt2rWrYOEJOVpXVydvvPGGnHXWWaLBz88880wp1EI53J7m+p3Gdc2FHf1I4xzlwCONsZPvvmmrYycN7LimucZOWucox9ixOg2BtBFIY7znex6lcY60+512fWm8b3LhWAm6ZBrXMVcfuSZpnCPta5t2fTZWkunINlbS0WNz4VgJz5W07y+rr3oQqHympHquhfW0lSFAoqFLL71UzjvvPJk1a5ZceOGF0qlTJ+ca/+2332Z7s/vuu8uhhx6a/e1/geTiL05++9vfOjf4ESNGyOjRox3ht8IKKzgiyw8ADvF60UUXSceOHeOqqqjtaWBHhxQ7/fQ7mdY5/DrT+n7MMccI5OeLL74oXNsDDzxQVlllFZk2bVo2ZALZGK+55hqJy8qYa+ystNJKblyeffbZjgT9+9//LjfffLM7B8mOIFqRmpoaN6b22GOPtLpW9nrSuK65sKMDaZyjXECkNXZoX9R905bHTlrYReGm1zuNc2hd9mkIVDoCaYx3vZ/0M9znNM4RrrOSfqf1vlH89NPvYyXokmlcR+2bfvp95Hsa5wjXWUm/bawUpiNz7WysFD9H9fGLwrESniuVdH9aW1oPAmYB2nqulbW0AhEgNiNu5+PGjXNu6FiDzpkzx7UUt3eshbD+1Ozx4S48+eSTgisysu+++zayAGUbx+26665CYiPifGI5iCu8ngPXZawgzz//fIEYbU1SKna4d+MGg0AAR4UYKPUc5cITK13GDeQmYwdCcvbs2bJ48WJ3SqyBIdT9oPfhtuQbO6uttprstttuLhbohAkTXN1kn9dz9O3bVy677DJpTeSnYlDqdc2HHecp9Rza1rQ/Sx07Se6btjp2SsWOa5lv7KRxjrTHjNVnCJQLgVLHe5LnUannKFff06y31PdNPhwrQZcs9Trm6yPXo9RzpHlNy1WXjRVxHnO5dGQbK/WjrxrGSrnuM6u3bSNQEzD68eZnbbvv1jtDIFUEILFIWoQVHwQCf2SWT0u4VbHeGz9+vHNjXmONNZxFH1Z8rV3KjR34NMc5ir0OXFfGDi5ckLl+KIRi6/SPgzSHBMXqFAs/xk6cZal/XGv43hzXtTnOUSzWNnaKRU7c87Sc9x0tK/f1Kb73dqQhkD4CzTHem+Mc6SOTvMZyv28qRZdsjuvYHOdIfmXTL2ljJT1MbayUhmWlPFdK64UdXS0IGAFaLVfa+mkIGAKGgCFgCBgChoAhYAgYAoaAIWAIGAKGgCFgCFQhApYFvgovunXZEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBCoFgSMAK2WK239NAQMAUPAEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEqhABI0Cr8KJblw0BQ8AQMAQMAUPAEDAEDAFDwBAwBAwBQ8AQMAQMgWpBwAjQarnS1k9DwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBAwBAwBQ6AKETACtAovunXZEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBCoFgSMAK2WK239NAQMAUPAEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEqhABI0Cr8KJblw0BQ8AQMAQMAUPAEDAEDAFDwBAwBAwBQ8AQMAQMgWpBwAjQarnS1k9DwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBAwBAwBQ6AKETACtAovunXZEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBCoFgSMAK2WK239NAQMAUPAEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEqhABI0Cr8KJblw0BQ8AQMAQMAUPAEDAEDAFDwBAwBAwBQ8AQMAQMgWpBwAjQarnS1k9DwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBAwBAwBQ6AKETACtAovunXZEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBCoFgSMAK2WK239NAQMAUPAEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEqhABI0Cr8KJblw0BQ8AQMAQMAUPAEDAEDAFDwBAwBAwBQ8AQMAQMgWpBwAjQarnS1k9DwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBAwBAwBQ6AKETACtAovunXZEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBCoFgSMAK2WK239NAQMAUPAEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEqhABI0Cr8KJblw0BQ8AQMAQMAUPAEDAEDAFDwBAwBAwBQ8AQMAQMgWpBwAjQarnS1k9DwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBAwBAwBQ6AKETACtAovunXZEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBCoFgSMAK2WK239NAQMAUPAEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEqhABI0Cr8KJblw0BQ8AQMAQMAUPAEDAEDAFDwBAwBAwBQ8AQMAQMgWpBwAjQarnS1k9DwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBAwBAwBQ6AKETACtAovunXZEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBCoFgSMAK2WK239NAQMAUPAEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEqhABI0Cr8KJblw0BQ8AQMAQMAUPAEDAEDAFDwBAwBAwBQ8AQMAQMgWpBwAjQarnS1k9DwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBAwBAwBQ6AKETACtAovunXZEDAEDAFDwBAwBAwBQ8AQMAQMAUPAEDAEDAFDwBCoFgSWaA0d/eabb+Stt96KbWpNTY0sueSS0q1bN1l77bWla9eusWXT2LF48WIZMmSIq6pnz56ywQYbpFFts9WRyWRk8ODB7nyrr766bLTRRs12bjuRIWAIGAKGgCFgCLQ+BF555RX57rvvYhvevn17p4etuOKKssYaawi6WTnFdLFyomt1GwKGgCFgCBgChoAh0PYQaBUE6Lhx4+SKK65IhH5tba1suummcvbZZ0v37t0THVNoIZRubc9+++3X6ghQv/177723EaCFDgArbwgYAoaAIWAIVBkCd955p3zyySeJer3ccsvJ0UcfLQcccECi8sUU8nUZ08WKQdCOMQQMAUPAEDAEDAFDoLoQaHMu8HV1dc5a9IQTTkisqFfXJbfeGgKGgCFgCBgChoAhUD4Epk+fLtddd53ceOONgl5mYggYAoaAIWAIGAKGgCFgCLQ0Aq3CAtQHCWuCQw45xN8kCxculLlz58qkSZPk0Ucflffff1++/fZbOemkk+SBBx4QLBFMGhDASnbXXXd1G9Zff/2GHfbNEDAEDAFDwBAwBAyBPAjce++90q5du2wpSM758+c7F/l3331X2I9uNmDAAFliiSXk97//fbasfalHwHQxGwmGgCFgCBgChoAhYAg0LwKtjgAlvudqq60WidJ6660nO+ywg1xyySXywgsvyA8//CCPPfaY/OY3v4ksX60bUbrPPffcqun+qFGj5Gc/+5nr7y9/+UvBja/SBFe+2bNnu2YRR61Lly6V1sTI9sybN09WXXVVtw8yfdiwYZHlbGP5EIB04DognTt3lg4dOqR+sszET6XunxcF9WYa1V17yIlSs9HWjbYl/fH888/LoYce6oofe+yxctVVVyU91MqlhADvSEgqZKmllmpEaJV6irrhz0lm0H8Kr6a2nbS76K6cx1100UVy/fXXuzI8z/fff/+c5W1n+gjw3IfYjJLNN99cfvrTnzrSk/H13//+V4466qhW816L6lM5tlWbLkbs/AMPPNBBeeqpp8pll11WDlhj6+T8hx9+uNt//PHHy+WXXx5blh2Tfpgpj0wcKaNnfCmLMouzZTu36yA/7b6W7L/axtKtfefs9lK/NMe7vNQ2VsvxgwYNcs8s+osxDe+clpB/jH1eRs74otGpV+60tFzQd09ZOH+B214uva/RSe1HLALwDOiwyB/+8Ac5//zzY8sm3TFl3iw5ffTApMUblTuj726y4TL18zJ2MD/g2YK05rEyYcIE14dK/3fXXXc5ngEuqn///tnmEkP9r3/9q+y+++5yzjnnZLe/+OKLct5558m+++4rZ555ZnZ7IV8w/sPjZuutt5YLL7zQ5cWJOn78+PFy2mmnOb7hpptukr59+0YVazXbyMNTrERrr8XWVgHHoZBjJQoBinz00UcV0CprQksiALnIRB/Rl0BLtifq3CSm4g/Rz6hylbYNqx9cHZGZM2dWWvOqpj06ZvQzzY5TZ91jASG1sF6B8uuuCwiu2r6bSE2Hjv7mRN8XLFiQHTtK/ic60AqlhgDXthxjxjUweO7KwvoJWkENDhbo8smcOXOyYwfvD5PKQ2CdddaRDTfcUEaOHOk8dJi8rLvuupXXUGtRsyHg62I8/5tb/HcOz5Bc8r8pH8ttnwwLiM+m4RsW1M2VwV+/L69O/VT+3HdX6d11xVxVJd7nP4/L9lxO3JrqLshcQXXbltJP3ps5SYZP+7zJhfjih+ny7DcfSf+l12yyzzY0PwIQjDpWdK5ZaisCzUwW1DUsuhRSX13EM6stPE9aSx+23HJLufnmm2Xo0KGy/fbbZy9dr169HBn98ccfN9K7v/zyS7cdA79i+/iTn/zE5b/hnOR2wSiARJQkpGRMkkwcY7CXXnrJnYMF6tGjR7u/bAN//EI89U6dOoU3t7nfbY4A5QqtuWbDS6Fjx9wT8xkzZjirNQbkp59+6ljz3r17C9ZsajWY5Kp//vnn8r///U/GjBnjiCCsUVH+t9hii7xWD7js88dNwCQBUgkrV/622morYSLhCxOK9957z21iJWGllVbydzf6PnXqVHnqqafcto033lj69evn6v/Pf+otc+jrtttu2+gY/cGxrJizYvDFF1/IsssuK2uttZZbMfj5z38em+F1+PDhMnbsWFcNq+1xViIvv/yyqxs3uiOOOEJPKyiphC5AdtxxRxfC4JFHHpE33njDXZ/ttttOdtttN8FS0qRlEeDasWqF8LA1aXsIZEb+T+TLT6I79t00yQx9Qmp2PTh6f46tvJh17Gy00UY5StouQ6AxAryfdezEeYQ0PsJ+tQQC6GLoK0g+Xeytt94SXOdJsjRt2jRhsrD22msL7/tcOk64X6aL1SPCwgDhB5ANNthANttss/odof/fffed85RiMwlE0VtV2poutvLKK2efG7neOaMCi89bPh4a8ndQVBo+v1s4V6748Gm5tN8BsnKnbg077FurRwALd33H+PdEc3UMEuuez1+PPd3jX78rmy25qnRdomNsGdvRPAj4Y8XCyjUP5pV8FvifX/ziFy4k4yqrrCJ4GyCME3QZ+CYWWNCJFi1aJE888YTbv/rqq7vPYv6dfPLJ2cNmzZolyvFkN4a+vPrqq8JflOyyyy5GgEYB0xq2oUSrYA4cJ5gjX3nllU0s1yDakG222caZK+eKIQpb//jjjzt3PHUl5FgIyoceesiRl//4xz+ceyHbfWEF+oYbbpDBgwf7m913JTjvuOMOOeigg+TEE0/MEom4TbEd4eZR03u3IfTv6aefzpb917/+5fZCsOrxrBSECVDqhID8v//7v6xrrVb72muvua8o05hyo1CGhZsKlwAEl/M4AhSzb/5w2Q0ToNo+SDXcpCCIVV5//XVHUBvhpoi03CfX7p577nEN8OPBtVyL7MxpIpBZME8yT9cvRsTVm3n5CclssYPULNs9rkjkdhZjdOyUw20/8qS2sU0gcPDBB2cnp60lXEibAL7ATqgutsIKKzRamParQVm/9tprs147uu/DDz90Xwlx8Kc//Skbt1z3hz9NF2usi2GVpHrUYYcdFkuA4rmh5X73u981IUB1X1vQxTbZZJPsOyeOkF9Qt0hu//R/eclPHX9zFi+Quz57Vc5abw/dZJ9tAAHmOKqfxI2Vcnbz2ckfycS5M2JPMbduoTz+7XtyxE82jy1jO5oHAQyVWnKsNE8v7SyFIEDoRYzPbr/9dme8hbFZjx49nEEX1phsJxwBFpkYvtXU1AjEabGy/PLLF3tok+PgmKpB2pwF6Ndff+2IOy4eJrxxBCgE3y233OKuMYNwjz32EAYoyjhmwRB9EG1HH320e7Bh/RglxLGDvYf8wcISBQtzY8yQGeRYQp5++unOHNonApW4JHETgqUoZtPLLLOMI2Q5Djd+lPqBAwc6y8u99trLlYU4wNz5q6++kmeffTYnAfrMM8+4Y7CmSOp+xo15//33u+MwycYKs0+fPs7EHyuNd955R95++20XH4ey3NTlkgcffDBLfnKdsGrAItbIz3IhbvUaAg0IZF4MFjJmxSvhruSihZIZfJ/UHH5qw4H2zRAwBKoWASUjx40b5zBAh4iS77//Xo455hiXtJL9WFqx8IwyjyUoetSUKVPk4osvlokTJ+aM5266mOliUWOs0G3Dp34m0xfkdo8P1/nOzIky8YcZslqX6HlCuLz9NgRyITB74TwZ+OXbuYq4fa/O/Fy2X25tWaeV5AzI2yErYAi0AQTwWL366quFkC8IC8G6GKzdU8Jcf5PcuxReA29dk8IQaHUEKAq1mgtrV7FoZLUbBRlCEJIMBRrrzu7dm1olQUz6q9qUw0xZ5Ve/+pWr54orrhBc5G+77TZn7aj7/U/Izm7dusmtt97aiAiE/ScYMkQmlgwMftyLVGD9lfxk1V0Ds+t+PonDQB1MJrihlABlpWDPPfd0fYAE/eCDD5xFpH8s3zm3Bg3WY8Nlwr9pp7qfQzReeumljdzPIIRxqyJ4Ln3/+9//7v7C9aT1G0tYyF4CBLM6Qn+41lFCe5TU9vdPnjzZjQMsHSCeKzFmHGNYhYdmJbZR2+d/MjZV6EOltJsFiTStCiulX4q1/8mYVsEK3R9Lur2ozxlTpP2wQVKT4ODMu6/LvM36S6ZnnwSl64v47aykMc+4Scuamfsj7nmVGKgyFlQFjVPQzjRXfscEC2XFBDZYvLhOpgTP7KWXXjq25/6Yx03X70fsQc2wg0VX3s/VIFg3hPvKtYDUfPPNN7MLl8Rkj8sAjx727bffOrhINEJSNL/OI4880iVsZFGarPKEvsGNLEpMF6scXQzSOjzB45oRZgqdnHh5vKua+73qPyeidEHCPd31ThAyqkf8sydq7LHt4ntulqsP/0NJoZn851qq7/K4RpdhO/dvmvHjcBX1dYUyNDmyynxjJfKgFDaSOGXyOkvLnLXzk+lo31e98Zis8PIXcsYZZzgDmhSa0GxVoG+kaV2LDuPPSZqrI2mOFeoiidKiLkGItz3WKqoL/woMkzp9M8fxB4Sa8p8rlaQvFdK5NHXTQs5bTFlC+PhjgvkEf34feE4Sxg+XeOJ1WiLPYpAu7ZhWR4ASX5K/XIKlJW7T4diZegwkGQ8BBiTEmk9+apldd93VKWtYQuKiTjwHrCCjBAI1bAWJWx6WDbiJIyRj8glQsqIiuIZBuEYJFqXEboIEVCJTyxH7E9cwHvZYeUbFHdEVAfpJf5IImZipk2MuuOCCRuSnHs9KBUQ058UiFDJ3hx120N2pf5599tnZ/vUKLFnjBGUai9QoIYwBgcxRpCo1EZK2uzW0UdvqfzJuKgVbSKw0CdBK6ZePd9R3FB1f2Ykqk3TbN/+8XNZe3ECu5jvu27uulW5//YdITeHuEygLvsKQ71zl3M/7g+dfGlJJ90S+/vghXPKVzbf/6GChrN8P38hGm/TMV7TJ/kwQ+4wFQdzcCaGST9Ic8/nOlW8/kzmfwMtXvjXvv+aaa/I2n1jhf/zjHyMx+eyzz1z4ICpBf4i61njEkH0ZYpT3O4kFcmUON12sMnQxCM5cuhiL0TzvW/K9Gn7n3HjjjU7X73LUdrJCEQToiDHvuXFKOKekBge5bqBKeq7lamd4H5P8NAnQSiBswmMl3Oc0fhOS7Z///Ke8PvZd2enOv0lSLWrhCkvKw6OHyTtHvOPCpcXNJ9NoY9p1oGelSYAyVlqCLPdxKWWsELKOhT44hyVXWV723uNyv+rE3x8NDKYmj/jQzc8h1uAiVFrrcyUtnVxxKOcnmdUxHsOzl4V8n/gs13nxzC1UeE4rT4YBIcQtAp/keywXWm9rKZ86AUr8Rz8btCbNSQoIF8AnOIsJCssNTkBYbnysCvwbh4fTsGHDXHMgGAmyHycoMRCgTGJpUxQBCrEGSRklPXs2TP5Y+fYFZQtLVCaduW4OVgcgQHmw+8L2zTff3FlaEEcTS1F/wIIBLmEIZtW489NXHex+Xfod938lWrG0yJVcgrij6l5PzNRyEaDgmytYvbbdPg0BQyA9BNpNGCtrz59RUIWrygKZ9+5rsrDfzwo6zgq3PQRQ/DqOfLnojvFuLubdX/QJ29iBWOCNGDEi2ytIWRZBfR0huzPmCzqPKsQUiXNjjzncbSYxJFacZ511VpP4VuzTySpxzuOE8ENkLEWfQdfgmCidKZcu5teNV48vpov5aMR/b+u6mM5Vxi9Mvujno5VZtNjFWY2Ki++Xs++GQBQCWEYTBm3hgZtI7RKFLcD2O/kgWfu1KfbOjAK2FW3j2cG8PiovSDHdIKRMLqOhYuq0Y/IjQOLG5pbjjjuu4FPyziPMIHL33XdnF6Thdnjft3VJnQAlcY4Grwc8bsAot+Q4YJ988kln2aj7cfX2s7FjiRm2FICgxDoAxRZXKVy4IQyJnUkmcywIVCAdIQcRFOtwXAYtp59MGCgPOx4lYctPvwzxM1WIZ+ULpCyu3WHBjYts8GQypS/+JCas+EPQ4mpGFk/K+cmM+K1ENOfGnZ9A+LkIUNx/VPLFC8VqVuOVkiG+XBLn7hZ1PvDGQiQs9P/Pf/6zGxNczyWXXDJcpMV/Q8yrqyxjI80V9HJ2jnuPMYswKSVOayVI1AS5lHZV4pjR/rCIogskWL3iVlGSBARDzQsPF1VFxyAhUodNg5d/p/zjgOeqWgBxX6ZpCVBU4388yF8wK6UejoV4quSxwzOHZw/CvZvWfXPmmWfK5EdXEhn5vKu7kH+1tYH3wXkX5HwGMt7VYpVxUwixV0hbCi1bKdafLLjyzvcFVzgmV0mE+xLvGN9FOXwselb4XuGakNyRhVSSQ5K8EL3itNNOE5JB+kH+0XNUuJ65dDFNdEU5XOajSKZcutioUaP0VC7Oe/ZH8MV0MR+N+O+F6GKUjdLFiB1PPFeeObynmvvZmOudg8U5JP8N7z8rn8n8eCBi9hy+1wFyyo4HNrknYopHbk79XR55lta1kfcSemZziz9WGKtpehRF9YWkS5k1usuHn74UtTvntiVXXl62+N32slvPZM/3nJU1486035ctNf9Ia6zAdbDYh9HPnHaLZbB8V9TVOOecc2TlBR2cYRLz4krVlwrpXNpjpZBzl7ssfA2Lu+SiyWWUV+52VFv9qROgYQCxXkRhRflOIiT+ySVLLbVUpMu6HoOS3r9/f/nLX/7izot7NgOLLG2Ir3RjUaBWknp83GccARpFYmod/g0b9wKHPBw0aJAL+A/pCWGbVHAv4+GG5SaxT30CVK0ziU9KTK4kotaflI2aYITroO+QrOUkQAuxAkJB2XnnncPNdEQtkzKECX7JBFGTM5S+wR8rldrGqF7645o+VCK2Ue0udFsl90utqOgTk/lS21o3/DnJfNNAThSCVc2c76V22BNSu9cRiQ5TArQ1jflEHfuxUKXfEyjGSoBCIoYJrUL6Gi676mqrSWZkeGv+37W1Ne69lqskEw6VNMa81tWWP/EUCZOYcf0lCaRPfkaVQ0eII55ZQN1ll12cSycWBtR1ww03uN9al6+L4SafVNDFovSTXLqYX7f/zvK3my7mo9H0eyG6GHp6lC7G8151sZa6b/WdE3V+xtXBHfvLlR/VJw9tikL0ltogUvZxOx8gnTp0ii6QcKs+iyke1b6E1bSpYnHPmObopI6V5tBPFtUtln9PeK3obj0zdYzsvvpGslzHyjPwKLpTBR5Yqu5b4Omyxf13Shpj5cADD5Rv530vg0c+lD1HIV8gUvstu3r2EJ4rumBsz5UsLBXzBfd1jAdZIC6WAMV4sFDxn614EasVKcZt1SBlJ0ABcejQoULcyHyC1QLWAqUKA2jffffNJjp67rnnsgSo7/7EapE/AHKdl4lilBT7wOWBRLwqYn6EhXbRB0hbVsx96wW/rBJ+xBPFnQxLPCwlUDCJJ4NABoeTRvl1+N+xJFVJsjKvVor5JkpaZzGfavlRzLF2jCFgCBSGQGbuHMk8M6Cwg0KlM68+LZmtdpKa7g2J5UJF7KchYAg0MwKE/vnTn/6USOdJujCcqwtMtH7729/KY4895rwbSNZI0kYlKlUXY8KYRN/Qc7HgGyWmi0le0joKt6TbqkUX23iZ1WWNJbvL53OSGyPssNI6smyHLkmhtHKGQBMEHps0WmYtKtzyWCuaX7dI7pswQk7pU758DHou+zQEDIHcCGB49+ijjzqjNhZSfEOV8JHEzEauv/76rAc071sWjZO+d6MWhcPnyfUbYzn+qknKRoBy0XCThtTECjMJAarWnyjIKMqlyNZbb50lQH1LAz/hEdnXcalvCSF7upKfZKwnqRFWE8RkwH1ILQL92KH+KpO2GTd4CFAIWiY41APeStjutNNOiQlQnZhQN6ECCF+QSyiD5FotyHXTq8t3rnPYvtIQyEydLJm3XpLMpx+KzJop0rGz1KzSQ2r6bSM1625WWuV2dJtDIPN84Pr+QzTBkLizweJO3aD/SLujz0x8iBVsXQgsvvMyka/zhD5ZUPxkrnWhUdmtxZ0O93IWOFlMJT5rLmEBVeOwl6qLsUhL8kcsShF0MdUz0MW+/vprp3QXY72Qqw+F7KsGXcz0sOQjAt375N47yDnvPSZzFy/Me2C7IOnfpB9myuMTR8sOK/WVbu1LswLNe0Ir0OYQmLngB/nvl6NL7terUz+R3VZZT/p0DcLPmFQtAu/MnNjIArRqgWihjhP659RTT816VyVtBvqQLyQSpJ5yyAknnOB0sfPPP78c1beKOstGgNJ74ulA4DEYkrjBKwGK6wzmwKWIbyVApnUV343n448/1s3N+slEhPhYCO256aabYgPOahxPyqLEYlXhCzE911xzTSGjKsQnBKhab5C0iQRIScXHJnwjhuvAglUJUIJ3+6LkLdt8V0W/DN/9voX32e/SEMgEYyXz7ADJBDEZg4HTqLLM5C8kMyqwEO7ZR2oPO1Vqllm+0X77UZ0IZIJ7WpZaWmp2ObgBgB9mS+a1IRIE4WrYxrdgkliz7e4iXZZqvN37hTVpTefqdcfyoGh7X+cEJDkLKiYVjwCLweg6eGrgBp+PAMWbhAVUFmZJRlXqYnQuXWzkyJFODyBpk6+nNReobVkXMz2s+FG0apdl5PwN9pZrxjwnU+fPzlnR4kydjJk12f1hxXdUr22kf2ARamIIJEXgg+++kkBjb1Kc0Aq7r7K+LLlExyb7mFvp/Arrd50bQqaaVDcCC4NwCiYthwALyHAkLADDyZBQyH8fh1tGvhcWp0km3atXr+xuPJS5x5N6KmcPTPAF3cv3+k1wSJsrUlYCFOtDGGwknxs8iZNQtHmIMwiSEKDEyxwyZIhzmyd+E0mNNJMjMRVU/CztDESsU3EXp02nnHKKjBkzxmVdI7YUpCFWoZCBmB8/9dRTQsb1vffe29XNoCGuqYqaLuvvfJ/E+fzPf/6TLbb00ku7+piUhE2dMZumbSqQyJCchAkI9xcClIRIYKgu8ySQSipgycSHmxRLU9qIJQgxKYg1Gr55CSugL1+NK4aVCVatfuImJlz77befay9tR8j4ynUeN26c+82Dgu9gHyfEL7n//vvdbkhfJnUm8QhkBtxST3LGFxGZME7qbjpHak++xEjQXDhVyb6a4J6s2WH/Rr1dfPdVTclPSgTPiMz0b6Xdvkc1Km8/DAFDoLIQQAnnHU6ccLxETj/99JwKtS6gsoCdNLxNnC6GHqU6DG7uvnK/WhAjVgVXsSOOOEIeeeQRF7OdsmRS3W233Vzc7t/85jduEZ1jLr/8crfgW4ouhu5CP7WvtAPPG/S5qOynrUkXmz17tvP68XVgvnONWKzG2pZ+EmaJhBt+8ilCLqGLmi4m0itwg79244PlmckfyKtTPpUJP0zT4Rr7icXoPz8dJrMDV+a9V90otpztMAR8BP435eOA/mxKgEKKTgkI+CPX2MYv7r7jQadedMwdec6bGAKGQMsjoPlUCMVIPpp8Ak8Gb4O+A29WjJxxxhkFHzZ58mThOJ4d8FwkYkMnqBYpKwGKQglZNXbsWGd5kMsNXq0/IdMgBXMJyisZSCFJ9QWg5dXVSn9D3ClBp9tQ/FD6UBTJSMkx6iJEnCpiU5199tkufgPHQDZ+9NFHkdnsIQ0vvPBC+dvf/pY3+QhWn8R40GDE1I11LBnbwIksqQSPR+hjOAvrUUcdlc2a7AoF/7S/9JN6r776atcXVgxIQgC5mEvoN2RnGEsmPvfdd587lJvir3/9azbxAMToXXfdla2WgMvsf/XVV7Pb9Ms111zjrj9K9R133OE2c5OTIVQJVNp47733ykUXXaSHNfl8/fXXs8eHs9s2KVzlG+reeD4/+akYzZohdfdfL+1OjMdei0Z9cv/pRJaFBnWdjCpr21oXAplxwSLSRzmy2Hz0tmTGvSs1fYqb6LE4QrB3hFiBuKKatHEENt5Wavc+suROQoJdd911rh7eRWRwNolHADITApSEiBCHW265ZWRhLALeeusttw9PnHyu6YXoYuhhxPtUYaFbM4UPHDjQLeCiK6rwzl9//fWdPsYCL0L7H3744axuomX5TKqLoduw8I3u5QvvLuJ2octhtaHSmnQxrHZ5prLA7wsWwEcffbSLO0/IJH4TPonwRQ891JBog0V0dNC2qouxcK/zkN///vdOX/ZxCn/v2G4J2XfVfrLLyuvKaSMHyHcL54aLRP6+b8Ibsk63laS3uSJH4tMaNg4ePFgOP/xw11SeF7xzyiGjZnwhowOX5Th5c/p4wUJ0/aV/ElfEtrcwAuTZ4PmKkNAPXqFU6d5xKcECOMoyOF/dK3fOzaHkO972l4YAxngISaqTCOUICaR5VZIcEy6DQV+hApfjHwcXxFzs+OOPL7SqVlm+rAQoiKB4o9RCLOIyDcscFiwOmQwjUZkj/fKw5KxSUx8Cc92zZ09n/YnyjqLsE4xYG0J4+tK7d+/sqrcmC0IxxyqRY3Epv+CCC7KHcA6sFyFmUS45/qyzzsrux4oAIijXCxLrUshAzoFSj8WrH9MTjLDMuPHGGwUr0XvuuSdLbuqJsELgRgFTVuhZxWeywuq+1qWTFyw+CGiriQa0jvAn5+VFj1A3x7388svZTJ1sB2/I19tuu81lnL/sssuybnFMPG+55RbBhBuBDNtmm20ceazkK5Mo/yaD6IUs7dixY5bQ5Tc3Y1wyBCx9ER4sJIcyiUYAN+bMswOjd8ZtDSxBMwHRVbPupnElYrcz7rhuSHjSFXuQ7ah4BBhHdU/mD0NSN+j/pPbUKwXr0UKF54OOHZ5tJm0fgZr2HaWm6zIld5TxomNHF9JKrrQNVwDhCbHFoi+6TBwByruf+5I4nXh/5CJAWdDkvR/WxdA7sCyYNGlSFlEWaA899NDsb77473qup5KfTALQp9DD0D3uvPPO7HG45rMwW4ouhs7HmMHlnjjn4KH6E5/oN1hUsbALUdhadDEsZvFa4vqBN5YkhBlSnRD9+KSTTspairGwj3UKOq+62gF0W9bFuO763CjknfP01x8kJj/BEFu+h754S85Zfy9+mrRCBIodK4V0dVFggPJ/nw/Pe8jdn78mV/b7hdQG8WZNKg8Bf6xo/o1SW1nKtW4XPP9NWg6BY445xpGIatCWryW//OUvhb9SBMOyQuSZZ55xOhh6DiGI8GxGF/j3v/8tRx55ZElkbCHtaMmyzUKA3nrrra6PkGBhJZgd6p4D0YgSpwpKFDC++zn7edigpMaJWg74+30rBN2OJSSr4ZybAeAL54DYu/baa93EwH/Arbjiis41C6Ua9zLaHyU8IJkYgEWPHj2cUq0WkVoeUpRVebVq7devn/QK4kFovFAmJSi4PonMqtOAAQMccar18LnHHnv4P2O/a5IlLFAvvfRSVzeu81gA4HKvArkFCaqWsmzHwpS+YL2BQJ5izcrkgT8mDip+HDAUbKxBMLXGIhYBU8YH/Q8LijvWIMiuu+4a675H2zQuqV/HtGnTsgo+Exy/D365Qr6jPPv4FHJsVFkmLUogMhnp3LlzVLG82zpO/ERWmP1d3nLhArNef15mdCk8FqjvIsnDU03/w/UX+5tJcpRLYpL6ou7zJMdFlUljzITrhYzIt0ARPibqN/eOTuZYVOA5Wqos+e6rsuy3DQRGbH3fTJRpgx+SORsV7jbh3z9gkfbYoc0smCRVQrSPkAf8pSE8b5RcSaO+tOvw28YYT9JvjmHMFTPK5gTvkSWD86Qt5bg/i2ljmmOnmPPHHUOMOHQTFjtzucGrS3i+hWjOox4iek7GRJwuxphBr0pi5Y2uhKs2upvqB3oO3LjT0MUIc4SlDgLR6utitBVdiGupumil62KQneiP6BHoDuhvhAlCH8LSkQkOwn59Z6NL86645JJLnPeRPo/T0MXQBbhWYeF9p2QrODf3fcs5fUl6/tenfuoflug7Vnsz588JkiIl1+X89rUEPok6lqBQpeteCbrQ5L2ddKzkq5v7T++N/80eL1/Py6+vf/nDDBnw4WuyzVKru+pZvPHf1bQtrfbla3/a+9vCWAljksa10OdxuO4kv6dPnyHzlp2XnQu0ledKkr5XQhnmYywwFioY88FD8f7kfY7g1aFelrnq4z1eiECAkjlej4MngTdCR0A3yBcrvpBzVWrZshOgAIwlARcTK88oAlTd37fddltHnKnSWQhoWC+iNPOHdSTZRlH0sSBghR93qyiBTOSFhGuVH89TrSX0GJRlzV6q2/gkSQD9Qml/7LHHYglQyl555ZWOMOT7r3/9a0eIMinwkwFBfoIZxCZEpLpgcAxko09+sg3BpYc4W7j3IGARZ+HhCoT+YZWKxavWjbKPSzzJmbg2qjDrQx2ylOsIAarXE7ywioX4RI477jiXgIk69GWvp+U4yuKS5ws3ZBQBShvAF8lF7KJc9+/f35UL/2OSwwOJBwvXuhTB4oUxde6555ZSTVmO/cNmfeS6nTYpuO5xw16QLY79S8HH+QcwBnsFhH2awn1LFjxWqRinSYWJnY7FpMfkKlfqmAnXjashCwcaIzm8vyV/L9epg4w9PliICD6TSOa5gbLJIcfIjHkLkhSPLIPrBX9pC64ceAEU8jKHdIcwSkNQPNMeO2m0K6qOJO9dnqE8/9YKFKTNVl4uqpqc23hHdlt6TSEzuboJ5TwgZidKmgqETaVgzCKnPzHVNlbCJ54jEKBghV4U9qTgPa2eHMXGoeIZjcLOBJ3FYepBD+NdjyViLl0M/QarUd71vs6wySabZOOag2Opuhjt8jOrRuliuhjZWnQx7gfVo7Ek0Rjp6HTomFdddZVbRFY9ChwZq0x+wBevHETJyVJ1Mchr4p9FCboY+5kkNvd9qwuFtAvMkpy/LniGTwwIqEIFqnXs1EmyzpIrFnqoK89cQI0hiqqghQ6C0GJspSW8l/znfVr15qunmLGSr07Nk0AYr47LLCV7PnSJdFiqfs6U79iHJoyQIw/dVRbOnuvmHsyjsGBHWutY4X3BfDUtYSFd56lp1ZmkHnQQlaTPFS0f/sRYiDA1Z555pvS7/Y9Su0TyeY/WdcEF58uXm+/m+Ih1111XN7tP5vM6p2+0o8J/FDL/a+muEBKhmLkdzwV0JrgMOBQEr2NCDJZb0Nv69u3rwj1GGZKV+/wtUX/ZCVA6pavTkKBhN3gUsqGB5Z+Wc19C/7AsJL4TDwZN7MOn74YeOkTIYo7ijRDXKY4ARfklSQ/sN67nPLwgOhkMalLMA8QnFCFXaI8KEx4UxrD1gx/PASs2PxkTSsIBBxzgkithAavWCEzWVTmnvxC5SL7+ErdBCVAsPXI9LFBymQgplvQzvMIACYB7FA9hXtonn3yyawc4anwolFjNELv//vs3eZFx3fljMkM9is/vfvc7RzBAdvKHEg5+TL5Y9WKC4uN7wgknuHMTeoAkVy0tuOQNGjSopZsRef6uHYq7pbt1SIfwiWxUCRu5d4m/RHy2NAnNEpqUyqHECApbs6dScYGVrNa1s0yeM08W1TVYxlz4sw1k2YTkJ6dbrnNH4Zg/PD+ywLOXvzjW8RDzakVf/jO27TNAZEGWPLrTekV1dN7ceXJ2cD8TNoVFDZPmQ4BY3hATkD4QkWEClG0Q9mussYazioxqmcb+LkQXY0FaFzvjdDH0IyxKmUhCsqO/oYOhi/HcR49AitXF0HlUcO/yrY58XYy46xoWCbKeNiCVrovheYOgm+qitNsQ/MOiBLd+Fn/Rs1iIR9CrIT8Rkk8hrU0Xc40u878FmSCsUJHnmF9Xv3Bf5OF2WBtDAA8+ne9uePz+iclPYOi4TFfZ4Nh9ZNT1A5wn4SdTJsktl1/bxhCy7jDnZ84DV9KvBDiIkU7C5Fyh+Uqo3g5t5Qjg5RL2jkNHQFjArgZp0ArL0FtcnbFu9FdkULL9WAesdFAGJZfYkWHhYUAmdkQvDt/Dqxps84WAsih+1J3LFJlETQiKriq7/PZXdLBgzSWsaCOcC7IPK9SwQCjSD1btUFJVsDQiJqiKv9LJw0sljf7i7k4bCPDv183kQzFmouETt5C7WIQqlr5lBomhVHIRk+CBBZYSoHqMfkKCopgz+YLE9a1euXZqCp7L+pO6wBIr4rAw4WPiBbb0x58Mhcsm+Y0SA+FMoqw0xXdTKNaKaOnunYpq0twlOsQuEuSqEEx1oYGHaSGWdrnq1X2MR10Q0G1JPv0JbpLy+cqUOmbC9bMAwT1HXN00RMdOoePmot5Ly+jvF8ij38x1zejVuZ0cv37hln0nbLK2jOqwnIyf22CZl69fWNyz+IPwHM6VeThfXXH7WTyJsiqPK8/2QjHMV1faYyfX+Qrdx/2rY4dFs3x9Z/GKUChTL/xdoady5ddca035cOALRR0bdxBtrmSM49rdnNtVF0NXYaERPezPf/5zI9zUgjDO/Z39mqAybV1M9TB0I2K2+3Hb09bFsDKN08X8hWB/EdnXlypZF8PiE10zStCP0D+VAI0qk5YuRhuidDH0R+L488zhHd3c962vFyR9biwlS0jH2iWkGDJzuY5LFtRH5ko6X6Ktfnujrlclbku7zUneS+XAwe9H0rGSrx133323s8S++q5bZdl9fp6veJP9vQ/cUZb/er6ceOKJ8nTnb+SHxQukS7sObpz47W1yYIVuSLvNPE/0/mnOLof1plKea3jHMOclO/f0QLcpRnr37iMX/uUqZ9HH8W3hueK/j4vBpDmPOeyww2I9IHK1A54FgYvS+OvlMvxh0ZMFZv89jXEXhm244leDlJUAxY1aySsFM0yAqtLNajTx68KClZRaSqm5P2VwTconXNx8BOjqq6/uqsElDLIVS8aw5DuXuo5zHCRfFAFK3Zg3E/fSJ0A5JvzwZBvix8TL1wbK5+svJCB/THD8urG2IAs7gqWrT4C6jcG/qLr9kAEQzrkk137CCLCfdmAp4hOgEKMIDz+U91yCdYtaqPjlcL1TYo5JQHjVwy+b9DtkvSbuSnpMrnJYQuO+gdDGuElMrjrYl5k6WequPi1fsSb7N9zvUHnxlkObbM+3AVdBbSuWQ2liku/czbk/jTETbi+WOmFrnXCZJL9x1VKXFuK/RT1Ho+ohg3vdnZfJNisvKyfd8Q+pWbKbLP7XJSKfNs6OHHVseBtB12/ff3tp99t6S6Tw/qjfkMBKTuIuiVVgWxOe7eUYO2nhhHuhklkoWkmUTPqzXGDVJ5M+L7gZOwQhSmqD40sVv51pPdNLbVMlHx/WxXhu+27wJC3SZEZxBKjGcqefaetiqodRd7l1sQceeIDT5NXFdGGAsr6+VIm6mMaSzqVn0Q/eDYSe0PJs8yUtXQwiOUoXg3jee++93SnRg5v72ejr3pAvSc9PBu6RQbbuQgRiqm/31WWJ4DxJxXdl5lolfZcnrb81lisXAZAPi2LHSr56mce8tso8+ej7yfmKNtlf065Wdjj/BPkws0i+/26eDJryoRyy8sZuzua3t8mBVbKhpcYKOogKuknS54oeE/XJ+/aw1+4oKgv8KaecLJuvskG2Wv+5wvzexkoWmrJ84fqXMgYYQ0n0jFIaj/Eh+VV84f7xPZX9fW3xe1kJ0CjAfDd4Jl5qPRandPt1+JYASrr4+8PflchTciC8n98oGBdccIGLn0RG8yjJF8/Gf/jFKZZR9ebb5g/OtPqr5/Tr9tuv+8OfUVgWstKWa0UMkgDrTmJVsfrwySefOAsQJiBKgLJKoasj4bbZ7wYEaroHCwNrBRbFn37QsDHfNyy/Nu+fr5Ttb0MI1Gd5v6e+R/N+kMyQh0T6blwU+ZmF5ZP3JfPBm1Kz/hbZTfbFEDAEKhMBFiDUDV4XovF2YbEzn6Sti6F4swiICzZtMV0s/gqEdTH0MJ+sjT+yfo/pYvkQarp/p5X6FkyA7rDiOgWRn03PalvaIgLDp35WFPmpWLw7c6J+laHTP5GfL7umrBU8P00MAUOgshHgXY1Hajm4DCyGCxUWvjkOQhxDPsIkYaRXLdLsBCjAqhUo1ohYveFWRVbwfOKv7hAfw7dCiDpWA7nmGmwo8qr8R9XBNt/tO6qMn62t2IzVUfX6E5G0+qvn8esmCDXZ1RFVrrWcfkZh6buLgYHvyq/H6Sc3Wi5RApQyZKLFBQ73WD1vPvf3XHVX277afY6SupsDS7yFDYG5c2FQ039/qVl+pVxFbF8bQyAz/DkRL8t7ZsQLkhkzquRe1g26V2rX2URqvJh7JVdqFRgChkDqCOAWD+kIIaY6UJKFaBpiulh98pG4i6J6Sy7dU48tVRfDkpE6CBfk66Jav//J9c6nz5ou5iMmQXzsxdK+tp2s3mVZIRt3EunecSk5YLVgQdHEEPAQWBDEhL1vwhveltK+BksfMnDyO/LXZfN7RJZ2Jju6NSHwTkCS/7B4YbbJixYucu96PLUO6LFpdrt9KT8C5CDAGwLjLsLvYPiHQVuvIGEwPMdvfvObRIvO+Vo69MdcOvnK+fvxAPOPIxEt4f1IHlsN0iwEKMoyrjnEoESUAFWlm8Q6cavSuHSqBadvBYm7dC4htpkqoVEu6bmODe/TesLb9bdP7vnKrO4v9tN3C0u7v37duET94Q9/iG1mHJY+AYqLfy7hxs8lmHuz+oD728v0fXJZAABAAElEQVQvvyzEmtNESEwiouLD5qqvmvfVrNJDag8/VeruvT7Q3vOQoJtuJzW7HFTNcFVd3zNzZgmZ25vInMAdYqmlm2wuaMOCeZJ5e6jUbLVzQYdZYUPAECg/AuhivE9JXkjoDN636CyE7sETIy5ZJC0jOaESbKaLxV+rOH0p7oi0dDEIUHRRJlhxXj1c93zWoqaL1V+pxZk6eXLSu/LEpHdcrMW46xfevmz7LvKXvrvJUu2Li8cers9+tx0Ehn4zThYEhPrS7TsX1an5Aak1L5RY68M5k2XUzC9lqxVbPkFsUZ2yg1JHYNSML4W/sLSvaWcEaBiUMv1msfGaa66RRx99tMk7F+KRkEP8kfeEJNhR4RcLaZom7U56DN616HEkI50yZYoLNYnugCcuiSLjjOGS1t8ayjULAQoQO+64Y5YAxQ1+4sSJggUCksvqAOVciVMuFrERUDC5eASa9WOBucp+/MegYgAiSaxLfzws8oN2koglKm4GA0bjHkII9ujRI7KOYjZSX7n6m0bdxHyEXMaigCzLv/rVryIVbyZNkJr5hKz0TMgYG59//nk2Gysxc+II8nx1Vu3+FQI3xi5BMoQgwU1Omf6tyPwgAU4nc6HJiVMb2pl5doDI3DlNexQ8V2v3O0ZqNtq66T7bYggYAm0CAd6zd9xxh+vLkCFDnCUCP8gInmuxGEUZZR4xXSw93TMNXYxQBq+99poQ6404m3GTqYcffthdv3z/ql0XmxcQTVd99Ix8+H1uQwsfR9KV/GyFteXwnlvJMh1Mn/Kxse/1COy6ynrCXzEyc8EP8sdRge4WIQ98+ZZs1n0NC7kQgY1tMgRaAgESCpFoCIHHgufikwVoOBOMxp5++mnnEk9Gdhag99tvv6KbSvigQgQOjcVOPW7atGkuFCH8Gnl3NG9KIXW2trLNRoCSzfn222/P4nPttdc6y84VVlhByHrmy7hx47I/fctRyEBiQz344IMuKD1ZsnxFj2Q37777rmByzHcVspjHycCBDZZQELP33FMfF89n0xkYKP4Eb3/llVecqxFB8bEMxYUe9hzJl6RH2zBr1ixh4gH7z4o9RGKUwMBH9Ze4qfRz/PjxQl0o0MOHD89WAdmcT8J1k9Gc7Kacz3dvY6WCFQGV119/3WXxpM29evWSffbZx5l3Q3Jyw5N1mRuZm4jESpDQ3EwQxSrccJDJm266qbP6XGedddyu7bff3q2YYPFLhlq1NsHyxCQ5ApmA0Ky766qA/EzgrjV+jNQ9cJO0O+bM5CfwSnIdL7/8crfFrpMHTIV+zUz+UjJvPB/burrB90ntuptKTfsOsWXS2sF9r2OHZ4FJ60GgZsvgHZPk+RLqUs2q0e+6ULG8P3HTxXMByfV+z1tRFRZAEVcClMVdFhuRqIVokkiqEIdbCdC0dTF0tvvuu09P5ZJntoQuhlVslIT1JdU9K0UXw4qUzLHoquCGN41alqouhhcReqcKhgXE/8IitFp0MXRcfefkMoy4+eOhicnPpYJkR4cFpOdmy/WUpTsUZ9mn18Q+KwcBkoHoWCE5bEvLg1+8KXM9t2a/PZPnfy9Dvn5f9l618VzaL2Pfy4cAHIaOla23Ts+A4BerbyJ1wfM5LB/P+kbe++6r8Gb7XSEI4FGjSQBxJz/66KMjjcPwdL3qqqscEUoSWHiyUpInldJ99Ie+ffvKRx99lPWeLqW+1nBssxGgq666qjDhHTt2rMNFCUrIOggzXyAZVcJWl8ccc4wzGUbRg0SFJIOY/Ne//pWNY6XH6ud5550nf/rTn7JxLnU7n5CpKmqSzG8USF8YnAxosqfGCVanrMTnioUJccqD0ncJ57wqBMj1Jdxfsrkq4arlIG5VaPdaayVzhfDrZiLE33bbbecIWYL10q4LL7yw0c3AjY1AaiJYZmpWUSYwJDCCCIYM00mWK+j9GzVqlPtFDFgEQhTyk7GhyRWU/GT/zTff7EhtklWZ5EcgM/SJIHBtcssFGTOy6OQ1TIR5iCN8N6lsBOqeuEeCGW98I2dMkcywQVKz0y/iy6S0B2t5HTvh53xKp7BqyoRA7da7lKnmZNXyniVjNeIv2CU7urpLoYtx7+EyzWIjRBjPbt7BYfH1FGKF++LrD6XqYuga77//frb6ltLFsg0IvoCPkuxsD/e30nQxff9iXXLcccc5DylIHOLsR+likM4q1aKLsWiv75y4DOujgmzvb04fr9Dk/Zy9eIFAQBn5mReqVlVgzTXXzDtWmqtDn82eIi9/22AYFHXeRyaOlJ+v0NvGYRQ4Zd5GLMd8z5VimnDQ6o15CK1j0FfvGgGqYFTgJ+H7WHiECyGmZpxAdp577rmON4FbwcAsqSFdXJ1Jt2N1GiZb1VANw8RqkGYjQAETslMJUAU3fLFZjYaIixMmO5ByF110kSM/CdrKX5Sg5ENYohBefPHFzrWagLO+QJ4OGjTIberTp49zA+OHr/gyGCAdlfzE/YvvGkuJIPQQhrhu07YHHngglgyCiIXkw2oFiwosC958882suzcBabGApS2I9vf88893q/tKfkIYcE5183eFg3+4kF999dVuZV+3xX1q3WeeeWa2b8R+wCyaLPEae5XjUa733Xdf6d27tzsvbYbExkKUzPdYodJ/FGlVpvW8TJywVFUhdAHWsxoD9rLLLnPnu+GGGwQseXCocF5+U5b4ZFGTNC1rnwG3FYyJzBsvFAxF3fDnpZ1l7y4Yt9Z0ABna5dMGkiGu7ZmXHpfMFv2lpttycUVsuyFgCLRiBHBx/uc//5ntAYRyt27dsr/5gn5DzMg4Uf2hWF3skEMOyVaNXgFZpxamLaWL4RGEHoOcfvrpwsJ3a9LFaDc6E/ppFOmJVajGa0fPYxywKG+6GMjVy3OTP9KviT9f+GaM/LLH5lJbU5v4GCtoCCRF4O7PXw/SHeUWrEOxEj1h7e1yF7S9hoAhUFYEMARDeL/mE+J1430DAareOPmOybUfXuiJJ55wPBqLuLzv0dXgw3j//+IXv3D8kya+9uvCi5dkTT179vQ3t9nvzU6A3nrrrVkwIc3U/Vk3kvkbQi2XQB6y+n7TTTc5l54wCUidhx56qGPSceGCYR89erRzyfZd2zkHq/pKgFLvySef7E6tloj8UOITa0fOBemHQEJS39GBeTOkI27ouBnB4hMvK0qol/IQsWr5yk2iRDBkH9asBM9VoV2sXGP1quK3j/7SDtybIE8Z/AxujssnlIHY9C1h/aROevw555zTyEWOWBVMjg4//HCHCVgQJxXXfEhurA7UmhXyk9V2dS9jRQQsmfBcf/31Dl/wI9wBliR//etfnfUFivxf/vIXgSBFBg8enJMA5Ty4zocFMpfYG5DHrHDQtkoTJdNpF2Os2DZe+offySUrLCq4ewvGjJYrAkvpMwIyvBDx283YLbbdhZwzSVleKnEWHkmOD5eplH6F28VvXngq3GO6isd4P/HEE92uJQIj+1v7LCWrdExgpbtwvrzw5+Pk2i+D2LCBrLTSSu5Z636k+M9vdyXdlyxKpRVzmPtD3xcpQpdaVf5iE+85fSeldoIyVeS3m7iH/vuwTKdMVC2Lo60BQ1ytfAI0yv0dXUzf2XGdR38oVhf7+c9/nq0WF0L0AiVAqbcldDF0HxawEfreGnUx9CiSRmLhiXUvRCeTGkTJT76jI6L/ImnrYlgOQ4yHBc8edDENH9Xc71X/ncMzw3+OQAJzT3T7y75S06GwqdGcRfNln98cLj9fp2Hchvue5LffPv9dnuTYSimDEQMT7rQEQwz/OqVVb756/GsRHiv5jk1z/4iZE2Rc4PKcRIZ+O1Z+vnQv6dG5dSxeM8cj0XFagg7jX7e06s1Xj3/OUscKvEa+nBkdtlpbOu9aeLgD2sZ8P5+OcuONN7r3Rr5+N+d+xkprEeVQeBcnEd6JiM/xJDkuXAbuBY9a37uDMnAgeO3yB4+y++67uwVe4pH6wnMbXaBapLC3fAJUbrvttmwp4kH6giK23nrrufhOfPpltZyuRPfv399ZbTKJ1yRDWoZPJhrEqyTgO7LhhhvKscce65Qrf9BxgVHEIER5keJODaGmWc+V3HSVxPzTCSyZunARJ0YCpsOQkuoWRv0ah5MVdQhQSEFMoTmnEowo+rTTFybclMNK9dlnn3UWlLiD6UAEEyw7EQYu5CkrBRA83DjaX6w4sOBEWYBIJBYUlqzUze/HHnvMP232O+1UQQHkZqFuAvQSKBcygH6HhXMfccQRjvTErY64bAcddJArxoOWSZYK/cZqlHqVXCB+KNgogc2EhxUKzWCKhSx1ErgfYtd3x9N6/U/OOXToUH9T9jvXa/r06c6qRc+X3VlhXyBNCm0j15jx2VsC0urAholl0q51qK2Rf998o9x3//3uuhdrAl9ou5O2r9ByKOFpSqX0K1+fUMT4Y2GBkB08i5Azt+obkJ/5F0S0/v7LtJdzBg2TN76e5u5XwpJQ509/+lMtkupnMWM+1QZ4lfmkvre5qK+V1K98HWiJSWa+NiXZr2M+Sdlyl+F655tclLsN1E8cMt4JKmEdKqyL6QKsluczShfz9+v3YnUxnk9+G8upi+GeyF8+XYwFI/5auy6Gjsl1QcK6mH/d9HvauhjEZi5dDCKU+7Yl36v+sxmvJDyaZsz5Xg48t7jwL6PGfiDDHh7kLG8hMBR/xbjQz0p6rhXS9nLoXi39bvLHSiFYlFqWjPG3fzQ0mPA2zNFy1YmV6LVvDpJrtz0sV7GK2QeuaQrPE+6blpRixwo8Ax6OPBt9j8movvRZZmfZpAgCdHEwnpjT5xO8deESogyK8h1brv1pj5VytZN6df6MJWiSkIQaWhBOqVjhnYvXCouLCJwL4RhHjBjhFkKZuzG2OBfGcvA8zOkqQV8tts+lHpcuS5CgNUqKEbeSwQGBqX8EltebE+KS7b4SpZZNehqUZ70pUG4huUaOHOmO8y0XIAF14o57dqEPSCw0cSdixZx2sboO4arkJ+3BSkrFP7du00+sP8NCH+grFrEqSqby24+NhWIL4Qk5SLxPJT8ph4mzmjVDkEIe0xbqViKEcrmE2J1aNzcQwkuFFaGofrFiQSw2iNk4hY92qSudn/AJMlSzzrK6wzViTGC1gBCeANHkOvTHJBoBghc7S9kOnaILJNjaY+3ero6wK2SCQ61IpSAQKDidnrxL9gjuR0JbICst2UnO2nq9glrIS/HvO2/ijlluueXcuAhb6xdUoRU2BAyBikKgXLoYlpxYQKCL+boLna90XQwLitaoixE2igkQE+hTTjklVhcj0YGK6WKKhDjMDjjgAFk8b4ELI9SwJ/m3RXPnuxBa6GHotiaGQLEIvD5zvLw362t5ZuoYySQkP/Vcc4LF67e++1J/2mcrQQBDKJ4dm2xSr3e3ZLMh0nT+3ZLtaK3nVu/bu+++W/BQyiXoSo8//rgrQiigYuUf//iHIz95x8PX4M5OyEXllY466ii5PzBwIukSXA2eyhiXVbOkbgGaD0ziOHJxECwMBwwYEHlIlLUiFgmQl5hwk7XSd+dhlZtjSESEQFT6BKW6ZFAOFhwLiKSCRWJ48k87qIcYC1iEwrKr5CJYIarCwurmFVdc4TZDPECI+n0bP36828fkIV+7yXIJrghtY/VB63YbC/iHRSnWoYot5DSZM7EuYR+kL5aZENePPPKIu5aKc/g0ar0ZzqbIQx+hLkhQjecK6ck5ELVQzYUr5bjmWNCGBbNv4l5A5GJ96o+LcNmW+s0YUAsY2lioWwh9Imj7lhuuL5l7LpGaAldWFwTxHgc8em3e8RXGh7Gqbmys/MeR4OHjyv077VWtShwziiH3py5OdH73NVni/Tdks94bSr9gsQSSY8Vh/5Wun4zW4ok/t1xleZn05IMyb70tyhIThvtR4wzzjNVnQeIGlqlgmhYsjMNKHjvgz3VAeHa3FjcjxjvjHmHcqNeA29CC/9J+7pSzK+XSxVD4VefAE+ZXv/pVo26ojlCJuhhZ3XHpR3gOoHO0Bl2M9upkBj0Cz5woweoDQcfQJGJaTp+/aehikKtRuthLL70kZMXlmYNe19zPxrh3DoYD6LVMGG+a+ZZMWfyDwpLosyYoNeT+h2WVZbpnF+wTHRgq5L/LIVFV9w0Vq+ifaT8D0SnV0KU5O47BjZIXXIfmIrXnBbE8H//4fWlf205mzC9sHCo+j015T376kz7SobbZp/jahESfaY8VjKBa81g58MADhdAwGj4uDsTX5k6UZ36oD2sSVyZqe6fgmcKipHphRpVhGzEgK0Wn0jYyVkp1Ede6yv2J0Rwezhh04ZnJn8YS988Nb0S4Q97LeEWH38l+2VzfGfP6vsXjOcyz+Mei96EjXHDBBW6xF0/qapVmfzpiGoxlIbEiNRN8UvBRRiFB+cNFyVdMGWC+EEcyTghyn49IDB/Ly/D55593btxYV0Iu6gQsXDbuNy/yfAofL1leun7f1HrTt/aMO4dfRgnQuLL5tqMIs6oAljyQmSxjdatua70Cc21eOAg3MAmgcFnHMtVXFrQv9J3Yob4occMNTKzWoT+6sOOSpJPxpC9JykcF78VyVK2HmdRovX47Wvq7/9Kmv8W2sde668vigPySce8W1KWOm28vhDEoVNJqd6Hnbe7yxV6P5mhnlrCbO0favfTf+lM+N1A6bLyt9FlyCakrgvzUdq80+iWp3WU/qQnurbTFX9AoZcyn3a4066v0fvnPVsZ4JY9z/7r47a7UZ7rf3kr8Xi5dTC3P6TOhM/iLk0rWxbB8J4Gm6i/0oVJ1MUIHMamF4LvvvvscebvFFlsI2Yn956wudjDpCS+ypqmLQRhF6WKMuZbUxXwsws8NDAz42/7L2fLwlyPjhmzk9vWW/olsum6gd5Uo9lxrCmBWv2m6q6xb/LHSnO/xJ4Ns7jMXzi2pb1MXzJHBkz+QA1fftKR6WtvBLTVW/BANpY4V5vD+PD7qGnz81XyR8YUToDVBkjasDFvjwkoUDpW6DWMsYrnijQHPRa4UcOe6YqGJXgE/o/oE1wNCMh8xHddfPGzhZ3jf5yI/9XgIWhapIWh5zrXUfaPtaanPZidA6ShWSRCgGpidbbg/jxo1yjHTJL5RJpyBwiBCINvU2oxAr0omcvEgF32rEMr6yoSr4Md/+eJr+GX5zqoDCmPU6gMDGkKXgUd8qVwSVji1LO1X13VifUKA+i9fXbVXywk9LurTP4daV0WVS7oNV39idZEoCgLYnwyoZSrtp72vvfaa++O33w5IMq4HN7i6s+v5VSEneRR/CFYjuCOZFIdA7S6HSN3H75HGN1kFnYPEHT/fK1lZK1WxCHQc9oTUzPvRYmD2d5J54b+SGT+mtPbOmimZgFSt2b2xFVdpldrRFYnAgnnFWU+0W0JqOhYfeqMisaiSRpVLF1MdK59lt5ZLCne5dTH0ONXF8OxBWoMu5utl6MgkG+UPvVit2BRj9CvCFITFdLF6RPZcZUN55usPZdai3K6LPn6HrL65/9O+GwJFIfDtvO/lqa8C3T0FeXzSaOm/Yh9ZvmO9kUoKVVoVLYjAgsWLZEFmsWvB/OC7SWUjAHcCJwR/hZ5D7E2N9em3HK9djMz8kDT+/iTfWUhGCDeYRODGMAKEwyHpuB8aJ8nxbaVMixCgxCnCstC3HsMkl7+ll17axZNUJty3JIQkxeoSNxrITrU+JGYhbtgk8GH1G+GTFfxShPpRfokbqqvWxMfEVQbXcv5QMBGsQpUA9fvlnz/OrB3CEOtHRJVv3xqPZEMMVA1u69cZ/u6XYRUiDYG0JPESf8SrAA/+WNmAZNUJAuebOXOm+62Jozg/NyVZ3jXTmd8mvc5s4zurF+cF2cjBxKQ4BGp6rC01ex4umafuzV9BsCJYe/hpUtPFlKT8YFVuidopk6T9qGGNGph5JUgQFzy/SpXMsKcks+VOUrPciqVWZcdXMgKP3C517w0vvIVrriftTjiv8OPsiBZHoBy6GOFwNL4olgZpJFJoLl0M9zD+kNaoi+mAYoKDHurrYezDsODyyy/XYo0+TRerh6PLEh3ktHV2kss+fFoWZ/K/Pw9abTNZp9tKjbC0H4ZAMQjcOz6Ya/5IchVzvH8MCZTunzBCTumzo7/ZvrdSBO7/YoQM+fqDVtr66mw2SYgeffRRl8gbvoQFXMhQOJVegQct5CcJKEvlO5TrIdwf7/044z+9CvBokKbwV9VKfoJFixCgAE6gX4Lkq0CsISifviKm+/nEPQ/XaAhQRF3QId3STpCDSTKxNMmSpbGVyBwfFy9BrTRplxKCfPeF9lIOkjdK2KdWmz4BinuTEqDUnetmUStK6i/HwGbVADd2/mgrAXWxDEWIzUoWeK4lireGJeBaR5GfHKMENyQpiaZ8y1H2mxSHQO12e8vi9kHmyCfuzk2CdehY3AnsqIpCoONzA5rGfYX8XHVNqd2hcdiJohpuK85FwWYHGQKVjIDpYm1TF0NP3muvvZyrHbosSUKRKLd0HZ+miykSIusHLu3nrb+X/GPsCzJjYe44jC9PGSubL99Dei3ZvaEC+2YIFIjAB999JSOmj4886vCeW8mKnbo22rdwwcLAMKc+DnaHjh0j583Epq0LSPzawNDBxBAwBJofAchJcpDwVy4h0RGkJzwYJKgmsI4734MPPujC5eQrF3d8W9neIgQo4O24446NCFASCiE777yz+4z7RzIi4vRgtuu7T7344otNDsGlB3KOjPPsx2oUhR+LBJL5ID5TTrl77rnHZXnXgLW45SMokfvvv7/7jjUo2bQQ2oNF6DvvvON+8w8zZ7K5kfgHNh7LVhXiYaGY+gKpSfIfBq4KrlgqrBQQdxMClQC3EMTEjwAHrFBJrETgZOKQDBkyxB1GexncGtdJ68r3CeHLteCmxa0KdyrIWKxrwwJZiXk3hDTnxn1/+vTpbmVB3an0GNqrxDUkKSsPuJhBXiOQuvnIT+rk+ijmWrd9NkUgA/k1Jkh8w2cumR9Y8P77cqk97mypWWv9XCUj9zG+ddwSooH4rybNi0DNR29Luwljo0866bNglaGz1PTZKHp/C27l+f3BB/Ur2oQS8Z95LdgsO3UrQIBFNnX74f1HbEGT4hBIWxd7+eWXmzQEDxl0mDFjxrjwR+hQxBi/9NJLhQVepBJ0MfQ9wjPpO412+c+l1qKLgTU6F7pcePEZbyn0NPqFVxVSLboYXljo+Qi4oD/HyRoBobl0h855CdAp82fLhe8Pkos33E9W67JsXHW2vZUh4I8V5kAkGS2XQFLe8/nrsdW/PWOCXLDBPo32E9pCw1ugezPnM2kZBDBe4t2GQEaV4s6cdg9qpEa6tGvvqm1fk34s/7Tb2xbrwyBMvYXL0T/qxpKUREiEkCREZNRcHD5o4MCBWW/lI488shzNaTV1thgBiuvVddddl7WWhEDToPy50ENJVgtIPrGmhAz997//Lbvttlv2UJjws88+22U8y24MvkBKkunxb3/7m3O111VvyjAZ5+/TTz91RCPb9FyQjwSsRWl8/fXXnbUi+wkkiyWrZg5lG+7hcUJcJghT3zoTAhTrRxWsIZmUqGBtCWPPpIEEUL4QdxNhsPfr1y87KcRVn5diPgIUUtFX9qMmL5CUTz31VBPilvPyAtYA0Iof230ZPXq0a5/2kURJ3LC4tSkBGhVf1a+D77SVOjTDbHi//W5AIDP8uYAAbbCwbtgT8S0Yf3X33yC1f7leajoUFsuP67/ddtu5Sol5wuTRpPkQyCxaKLVDHsx5wron75Ha064qSyKjnCfOs3P48OHZZ8rvf/97ueWWW/IcYbsNgXoEWJDD+wBhMTKcaby+lP1PgkDauhiLlCoskD3++OPOk0bDCOk+SFESJxIOCV2gEnQx3NR8Xa616mKQn/whY8c2LI5BfP73v/91i/QsxCsBWi262KuvvppNxMni/Q033KDDscnnQ1++JePnTGuyPWrD3CBz943jXpLL+x0QWNthd2fS2hEYOnSo82ijH3izMV8tl7zwzRj54ofpsdWP+X6yDJ/6mWzdvXwkbOzJbUdeBJiXqw5CEsArr7wy7zHNVWCVzt3ksnX3zZLlzXVeO4/IM88844zb4Kk0RCK4wHeQVwXuiMUVuCv4m1Lk+OOPdzlYyJuDxwc5V3xjO3QtQiSqcRrezPr+L+W8rfnY2pZqPBaGWG74AunnWwH4+/Q72a6ULEM5PfHEE90urCxxWVfBXf399993inXYpR6lnDhIw4YNcwSnMvOaAZfVc3UlJ4aDym233eZIULWyZFCzSkgAW3XHpyz1HHjggcKDEGtTVoRUWCkiliarRRCftEVXpLUMffLbTAwJf/JAe3Fxoh69abC+hARGUGZPPvlkrS7n5+233+6ST2kh4l6dccYZcuyxxwrWDio80Fld8GXcuHGOZPa30dcjjjjCkcy6HeI4SnnA8kMnPViahuNV6fH+J1avW221lb/JvocQwPoz88Kjoa15fpI0540X8xSy3ZWGQOaVwVIzo956PrZt3waW6BDiJoaAIWAIhBAohy6mp3juuefkmmuucYukKPphKyXIudNPP90p5Sw2t7QuFg6l1Jp0MQ05pNjjTcU2dDkVCECMAMJiulhjRGYvnBckQios3t6EH6YJlnomhkAhCMxZNF8GfPFW3kPunfCGLKiz5Dd5gbIChkAFIAC3cs4557gFSBZ7VeA64GfIEo8BGxaZJ5xwQiP+SssW8kl4m3/961/Os4bjwqEWee9DfrL9rLPOSiU2eyHtq8SyLWYBChgkvPHJP0x4cwkXzw/gzvEw58THfOCBBxqtcKjbOYNNBTISBRsmHPJxwIABznoNd3gsH9WSkfOQRInykIwQpaycY7HEnwpkJq7unTp1cq77Gguze/fuctppp2kxZ5WJBacKdZGFU7PY+678uHf7rDwWdfQNYeByTohCrF5wGQ8PcohT2oR7WT7x69ayrByoO+HRRx/tXNyx4ISovfjii+Xaa691+7G6DSd1wg2fGx7LUwhhJT196wI9j36CAVaq1M+Kq79ioWV88heC1ieHtQyfnBPr3LAQkoA2Ya3IdffrC5dtqd869jh/uI0Q+erumaR9y3w/RbYNCM1CZeqwIfLGzPosg0mP3WKLLRoVrRRsmUzrgkajBhb5o6X7xRjGMt2XDgvmSv+3n0gUyHnB4Ptl6DezZWH7jn4VQqiPcrp2NTpZ6Ic/5rn/WxpjbR7jRi3/dVuxn/RLV1yLrSPXcTzDWRQsVnhm8rxBtv76K/lJERVNmzZV3gjcatMQ3p0aniZXfeCqEn5e6vaW+OTdlG8RtyXale+caetiOqaIEw4e/PaJNxaosY6AAEUHZBxvuumm7tpXii6GRU9r1MXat2/vdEA8jRDu8TvvvNN95zqobuw2eP/S1MXQUbGmDQuu9uhijAue/839zE/6znlr2nhZlCABUrh/b0z5TDbuump4c+Lfet9wQEvgk7ihOQpyv8fp6DkOi93F+9N/3scWTHlH0rFS6Gmpl4Uhlbe6fC+zOs/Xn7GfU4NQC9e8OFA2nFufsJSxgvU+Akat8b3TVsaKf9+mrctitUdols+DcSKdY4dH7A44EIzDyN9B0p3W/FyJ7WSF7WC+ru9cwnv5i5B4HXzyySeuxSSJhL9CB8LIDA4FvqRY6d27t/Pw4PmioXswNIQrYpETo0F0GuWeij1PWzmuRQlQkuPcfffdDkssAbkxfUKUHX5WcwgylDkEF3LISR6gkHYMHNzaIRfDgnv4Mccck7WWhFDEehFlDIENhxzjIaP1qxs7Focw9Zgvs3ruC4rmNttsIyjzGhOU/bSZQd3Ls6BkO4ofBCeEJ5NWn/hkP8IA9gU3Px6oTMpx++PGoj1YVaJE8oewH/x4EapbuV9P1HetGwzjFAxigp500knZUAIoz5wb4ZpxHJhx04IjfQwL1xmr2iiBkMZkG2FCFEWA+mMA9/k4AU/MwKMEy1RcwsAniaVpVB3NtY3rSBv5ZEUHC+CoyURce47coJdsu2fhVrILv5og+56zb1y1kdtPPfXU7HbGQqVgi6VR1FjMNrbALy3Zr7vuusu5S4TjHN+5x5ayxIZrJOpJ+0UL5ONbL5c/PD+yUXkWFPbee2/59a9/3Wh7c/zwJ7+VNHZ4JqVJgJZj7CipwSIeC1RpyP37bCOHrNuj4Kree+992ffsGws+LuoAYvKhLOLhEF7c88v7E45KeqZ369atVU5E09TF0Il8DxRft/B1MWIw4j2DoItBgFaSLhZOeKn6UiXqYhBO3AcIHjhKfroN3j+yz2q8fW+z+5qmLoaemksX++yzzxz5WY5nY7hf/m//ncMzJO78w955U6Rxzhm/mtjvoyeMkzkrbRq7v5AdPON1PlLIcS1dlncnz8G0RMnytOpLWk/SsZK0Psoxx2SBByMcpGuPlWX3/5wntYmWsUVG1kyTS35zosydOtPpKMT6gwRdb731WuVY4VmaJhnD/NTXDRzIzfBPn72cKtdzpdCmEK+ZeTEGWZucdqj0OXinQqtwnMEvDjvWGZyRxwS+pDWS5YyV1iKE/WH+DuGMZ64uCGHsxfVE9tlnHznvvPMch4KxHYZ25ElheykCLwWxqnLcccfpV/sMIVBWAhSX8VyCwqXCwMAMOJeoMoCVCJaG/vG4qkOO8aBAuNH5jZKNi5cvWDxBgFIf56Ue3LR4iFEvRCekG4oiCiPMOXEnsXqE7ITcxNyYWFd6U/rB1Dk3rL8KBCJ/vvCQxKKLOjlWEyz5ZSD0lGzE0hUSjz+UW5QClEgIX9oIGakkBuTtDjvs4FflvjOpJNYe4tcNTkw8ogRlhpv0kEMOcbuZ3HCDggl4QSwjtN9/kUFA+aQnrlhRJN69997rAvbyUGAir5i7Sn/8pxhDDvs4+2Xa4ncmjjwQC7Xw6ljki6JDu8IjYowYMaItQl9RfeI+8l0oaNxmKy8rEN2FyAkbryW3jf5UPpjaYB3MMwQ3DH12UF+7L8bJ4h59CqnayjYzAkzOeDaQDKgtCe9D+kXc61wEaFvqc3P0pTl1MZR+FYgQSE4WrMO6mG95rt4kLa2LoTuxqBAWX1+qRF0MdzsmUOhdhx56aKPm+7oY8d41bFSjQsEP08UaEPkmsGqXroVb4sya0+Bx1lCbfatGBMbNmSJ9lmycnI/5HPepyianHiK1weJFUlmic0fZ6MQD5Y2L7nTECe9KLL0gQE3aHgIQ5ngApiF4YDBe4FlaIwGaBgbNVQcJpJH+/ftnyU9+cz3VAwMdF+FasIjBc0H5HrfD/pUdgeRPXq8pWBiqNSREGNnGyy0MEpRomG1WuPNlDCeeaNxLwSdEIRI1DiUsPcojfYN8woz48MMPz3YNJRjyE2HwKjHHb+JSomhCqj722GOO5ceVD7KSfWGXdIhFtfb0V4+oS0XPxW9/UsFv+u/HJ2Ub/eLaaPB7tkHwqvjWsbnq1vL6CZmrdWNOj7UtQmIklXzEJK62UQQox2P1CQEahTl9UavgXNaf1EMogqOOOoqvjQQyG6tfcAZ3vd6NCrXwDwhxXXGmjazi0E5Wkh555JGcibXCTV+3lmseuEsUKHM7dmlkuZPkcBYEuLYI92ilYOvfm0n6ka9MS/aLRR3i72qIDdp6ascZAd6FxYNqF4yrgUftI7fMb1gQ4p5qtFgy/Vtp/9ANsuiov0hm9bXzwVLSfl0VpZJKGjvcf2lJufqlzwZCqxBIvVhhlVot9NbuMieopt7DopD6iO3oW/wVcmy4LO9EwsPkE3BVqaRnut8ubV85PytdF4PkVH0hjENYD/P3t5Qu9s477/jNyH7PpS9Vgi6mGYjRM33DgGwHfvyi7+rwdv2dli6G51SULsZCHjoN+g7v6OZ+r/p6Qa7nxh4/20HunRhYgRYom/ZZv6Q+oaPyTEa4B/z2FtiUFiue9jMQXdjXFZqrYz72hb7HZy2aJ7dOfFWO67GtbLrM6tkmM7/EWOTcc8+V+T/pKt9vvUZ2X9IvvXbdUjauWV46TJ+bTdZrY6UePebgqs8kxTONcr7OWOhYyXX+Sy+91BGgJOabvdFPpN7fM9cRTffxLGbRi3BljL3WOlZ8jJv2srK2qJcFyah90RB9eMxusMEG2V3KZ+lCcHZHAV/Ua7mAQ5yXJMmLq1WKIkCxSNNM3BCSaRCgG2+8cZOVay4KA4PYFVg58iJMKlgbxIn/gg4/LGkHhB9JkCAdfAJUTZd5MYbjlaJ4ks0UawcGMcQqlltqBdmrVy9HNEA4+NahcW1ku78aAAb5hD6HCVDaoeLX538vtm6fUM3Xp1z7i8Vc+6WfKP6EQQgLxKtm++Thrw+bcLmW/I3iqwQo48tvI4Q/f0klsyCIdXphQCIEGcILkdV22FNu3LOB8E9yrK5maVm/3bqtLXy2dL9YcNEVw7pRr0jmwZuKgrVPu4Vyw++OlJr1G8du1coWPz+QgFLSfsgDUnvKpY6Y1H1pf/qTGp7JLY1x2v2jvnL3Cwt8tcIvpv24gOpzp+ugu0Xea4hxnbQ+SMsbTzgvafFUyvnKcKU+01PpaJ5KKl0XS6qHRXWzWL2gGnUxLKeRXHoW+yEcmRBrebb5Uizmfh18R1+P0sVYNL/jjjtccfT55n7m+3OIXM/mzVdYozgCdPmeJfWJUFxKgNLW5iaIw9exEn5j2NAS4o8V3jeFjNV7P31L5i5eKAO+GilbrrSWtK9tcN+lnr8HocXOGP2wfD+vwRsncR8DXWm5X2wt5/bePWvgAvHHX7VLS40VX5ctdKzku2YQl/zd/flrMqTAxGzUzfvwsmt/m82RYmMlH+Kl7wdzvC1Y6PNFCVCM4vwFFixDEXiiYqUYIwQM1/z8NMWeu7Uel56pS4kIMGB+9rOfNfkjZhQWJv7LKMmpCi2vdaIUqaUh7qEarBaiVAlQWH3fekGPhUknXh8TUixjfcGCgH2sihMDJomQ8Egl16q+ltGHv0966r7wZxp1h2/u8Dn83/4Lwt/O91IwD9dlvwM8O3SSmi13LAyKdkHyjq13KewYK93sCGQWBAnDnr6/pPPWDbpXMhHkeOaT90Q+fKu+7kmfSebtZM+pkhpjBxsChkBFIZCmLlasHgYgpegF1aSLoYeFF/JzDSjTxXKhU79v5c5Ly6bLFhYPuesSneRnK5TXayJ/y61ESyMwYc40efGbMa4Z38yfJU99FehVIRky+X35uhjy88d6Pps9VV6d/lmoVvtpCBgClYAAuV6QN99s8CLAm1VDmfnJFQljpWEx1lhjjWZpPuQrYRxzLVA3S0Na+CRFWYC2cJvLfnoIUALXIridEmMF1yhNxqMEaVRDWPkmORN/DGzMkvnDChFikj/ijJLQKOzCHq7PH5ycO5+psrYvipwtR93EI1XB5DtXf/LFqisFc22DfTYgULPLwZIZEyRHmf5Nw8Yc32p2O1RqllsxRwnbVQkIZIY+LvLd9NKaEoyJzCuDpaZ/fQwaKssEk+i6J+5pVG/m6Qcks+FWUtOxc6Pt9sMQaITANxOl7v4bGm3K/ujZR2p/unv2p30xBApBoBS9oFp0MSyO0BWZYKnrXRzGeJpo0sm4MqVgHldna9x+1BrbyNhZ38icRQ1hpHL149g1fypk6h45PbgOAfEV2EzIip26yibLri49l1w+16G2rw0hcM/nr0tw6bPy2MTR0n/FPrJMhy5u2/cL58ojXxYftkYrHjhplGyw9krSqdam8YpJa/0cP2eqPDHp3ZzN/zwgvU1aBwJ4UiDE5sbLCgteklcjLEBut9127jtGdRdddJELnYgnbine1IRsjBM8C0hMSGxSQuqNHTvW5VMhFEc1iz05I64+AxHL07fffttZa5I1TV3ZIRdJBJREqEddVyE+ySKqcfxIPJKLMKR+34oUl/xcgtuMEqAkiconadTtE6Aa9DfuvARgziVpYZ7rHNW0r6bLUlKzy0GSefg2kcW5Y0XW7LC/1G5fWua5asK2pfpKaIPMpPEia63fqAlYAKk1NpNh/vJJZsLHzgq0Zon6sCKZ4cHLMyCyGsns7yTzwn+lZs/DGm22H4ZAIwTmfC+Zd15rtEl/1MACGAGqcNhngQikpRdUgy4GAcpCMyEt4ixvCZmQz1o0LcwLvNQVV3ylTkECr3V3l2vGPCvfBaRVnNRKjRzSYzMZNuVjGTnjiybFHvziTdlomdXkuIAgXTGo06TtIjB86mfy4feN52rz6hbKAxPelN/33t51/K3pE2TNpRonRyoGkbrFdfLB7K9ls26NvQ2LqcuOaVkEps//QV6b+mnLNsLOnhoCEKC/+tWvXO4RPH/5UyGhtCb4JFwieWPwdrnwwgtzxu/W4+M+8xm+8V4nLw1JrMnd8eKLL7pwKyQAr1YxAjTmyhPbFAIU1hyz5VdeecWVJPZn2IUI8uHss8927vIkasK6MyzEfTnllFNcFjbIyo8//jhcpMlvCEZMlSnPSgFZ3P24Ef4BsP+s7iMM8nySRt2Ya0O2YlFAYHtu+CjFG6uEJG7/hWCer3/Vvr/urZcD8jMYhxAQuWTFVaVmx/1zlbB9FYIAoQ3aHXNmk9YsChKdadgLnjPtgzhvhUjmh9mSebZp5mPqwFI0s9WOUrN8/hjEhZzTyhoChoAhkASBQvSCatXFiCnGojqWHsTZJNlFlDz88MNRm5tsKwTzJge3oQ29u64oV/b7hTwcWOz9LyA459c1LCbXBMTnhsusKjuuuI7cFcTny0WSvjtzopz97mNy9vp7Sq8l8xsotCEIq6YrC4Kxcd+ENyL7+/KUcbLrKuvJWgHxueNKfd1fZMECNnKv82diCBgClYfAqaee6jK+w82QKwPuhmzv8EAqJLc+7rjjXCJo36BM95fjE/5q9913d+758Fq0rUuXeuv0cpyvkussCwEKcfj++++7YOv77ruvAxg3cAK9jhs3zmU/33TTTd1+BYdV6eHDh7uMtgSPJUsWAVrJmkfQ9rBEnYMVcJVbb71ViNWJ6TF1IRCJxGTQgLNsu+eee1xczvA5ttxyS0fmsZpOciNWzhEUQ1+IpUnWd5IKsfrOH4oo5+Z89957ryvOwCf4MNsQSEEsS+ljXGZOYnoefPDBLkgt9ZPJHCGeKH2lzRxP4Fx12Wf/jjvuyEdOSaNu+kNM02uvvdb15/LLL3d9xNqTich6663n3PaffvrpbKINGqWJcz766CMZMWKEaydWtWBEXewn652POdfh/vvrYx8SX2PrrbfO2b9q3pn54hPJPPKv/OQnIH07yVmJ1hx2alGQMY6U3E4Sp7aok9hBZUUg81yQ+GguGcAjJLAeJmZou6P+HLGztE3cwzp28iXvKO1MdnQiBAJLzZoNt4wsmnnuEZEpua34Iw8s08YTTjjBKY1U37dv3zKdpfVXG6UnpamL+TrODjvsID169MjGTQc9gv7z3sajRuNisR09SeNe8ZsQQTwL0AHCkoYupjhgJYFXDnqb6mIscJO8Ej1s2rRp4dO732noS5EVBxvTqBurjvvuu8/pYXfffbfTnVi8R89kYoW30QorrCBPPvlkthnqMcSGatHFiL2m7xw/xFQWlIgvuC4ft9bPBJf4zwNX1e8WzJUuS3SQ1bssJx0D9+Mzg2Q2uchPrXJW4Ep/9UfPytUbH+SO1+32WZkI8CzSsUIeinwyKIj1OSUIgRAn9wQk+UUbNoQdiitn21sfAsy5daw0F5GlKP1mjW1lqfbxicI6t+ugRe2zGRGA8CTc4Zlnnuner3A1ykVpM8gE72eD1+3l/lSPXNpTzYn2ykKAQjKijHHBIQL/+Mc/OtJOL+oHH3zgSEOIOxVibJJ13RcI0SeeeMK5jocHSb5zDBkyRPhjcnTzzTc7t1BiLbz00kv+KVw8BM6Le7p/DghZzY47cmR9vBZigfLnC1nXNaulbr/xxhudKTPsvu7DMvLRRx/VIvLpp/Xm7mCRS0ioRPvIuH7bbYE7c0ggW33BvBrck0gade+9994ycOBAR8iGY1C8++67kRnG1FqNm0/xAQ+uz8477+yuuYYKUMyZLGnZK664Ikn3qrZM3VP/EamrJ9qTgJB5J4hZtG1AfvRaJ0nxRmUw3de4JXHWyY0OsB8VhUAmcHt37u+5WhUkRiJBUs3aG+YqVfC+rl27ZseOZTAtGL70D+jRW2oDpS1KFr8ehEioIAIUwny55ZZzTa3W1euo6xTelk9PKlUXg0TU9zIeIZCrN9zQEA8WAo7FaOSSSy5xBCd6wZ///Oes1Tr7CKHDZGGnnXaSCy64gE1ZSUMXUxzQOQn+f8YZZ2Tr14XrV1991bmiZXeEvqShL4WqzP4stW70SxYFLr74Ykfi6mI5JyDe1wsvvJA9l37xCdBq0cW6deuWfecUOvEjk3efrispfO6T+I4kukkq0xbMkScnvSOH9twi6SFWroUQwE1Vddt8Y2V6cF0fD8ZCLhk361t5ZconligrF0itdB8La0nHStpd3Gy5nrJ8x3ojr7i6zVI4Dpnyb2du069fv/KfqIAzYDyHtzL8XDXP2/MHiysA1HBR4hucdNJJjvwk5iTWjLhx62oalowqKGOswP/yl790Vp9YEiCzZs0SYhRojDstr5/+OZhQqxDvABkzZoxcd911TrmG/OQcYYuRfOfQOnMlP6KMPgBZeT/55JNdrAU9lkmAKpwQrccee6zgTp8vbgOTO6xlw4IiF3bFZyDvtdde4aKxv9Oom3iDtCWf+K7xSnYwJjSxE5MPggWHLWwVc8hshBsXdy+TaAQy0yYHJsJjo3fm2GoZv3OA04Z31T0ZJD4KrLXzCQmSSJRkYggYAq0PAV9PKpcuxkIo5Ke+30FJdT2+X3bZZW5x809/+pPT5yA7VTRuMUSdWtLovqhP1Qui9rEtrIsNGFAf4gNPGlzQmBCyeIcV+q9//evs4neu+Jhp6Etx7U2jbnRJ+pRL/MmOYk5508VyoRa/7+Vvx8XvjNnzcuBKb9K2ELh//IhG4RHienf/hKBcnpj8ccfadkPAEDAE0kAAno1QOcQCrWYpiwWoAjplyhT3ldVtsqKr4DZ95JFHZglBtmO1SMYsVcqOP/54d3GwUMA6kJiZvguV1uWfg2CyWJ4iuK0TgwHSkQuNHH300UJbiNEJMYpQJyvkuc5BORRHCMtcghs3rkj/+c9/nEWkunrrMbg6EegW1l1lxowZ8tvf/jaLBZaevmAtoav3rEjOD+L9obwzoVEh2ymWFlhjYH3697//XXfl/EyjbrAl3AGy5pprOnerTz75xJGZWMBCNhNs1w9PgLKvAuFJyAOu3dChQx2BC/lNecUcdzVc6ZBdd921CfGrdYHlQQcdpD+zn2CGdQou9Vj1+thlC7XwF3/iVWwbiQF716m/l9NW7Vhwb8Y+N0gm/T975wEnRZH98TcLAiIgIEExEUQxIKJiFjmzp2IOnKdnzvHU/5lPPTGcp2fO4YyYUTAnxIyIooICKoIEFRUliErY+c+31hpqertnemZ6Znp23+OzTHd1xV9XV79+9cLy3Y3/WPsMhqnE7TfzLy7YInDHH2ZUFJdx+Y3HvQesDcz3XMSG0ufDHpYNP/8kV9a66ylN0bf/e7Gsc/gpke0Yuv3m+bc+jMN1qHS5WJ+8m0uFtsYY2WCLK7kbi/Pnz/cVoPBc//jVZOlWwCAmTJwgK6XWZVfwUkA19Yq4/caiIC4aDmjS5bN+1htYiRJcPqlUvNjYsWONVgGbvViiQPgj55187bXXGtc2V155paC9i6sbTLItb4OrIrRHoWeffdbXFN5cTP1n+QJ77vfr5cWsNY9dc+gD2pIuT4mpvtVW9aszCn7Jr17Siq2b9RNMGR/aargNwDoJvpax4o6I96EVBNOmuynNeZS82OTJkw1fS70uwRPDi6Hxy3uqVO9V1iyi7qKd7BUK2zlAv7zX3L7mOm7aalnZ+La/58pW7zragmtutL4s/HEpD+9msv0rtG+UP+igg4yWc9TrrtvPoGPWP9bBqAjFCO5nqYl3CvEM7MYM+Nt7QdtB96PVGivLuhf9LfC622/u/Xb/OFymP/a6m5z1mD6gFY9fX/d+un2L0zsw62A8FxlPlK6z4GFc3sDTnJlHfP/zF3Q/vWXCnrv3I9+6226whvT6vwPCNpWRj3fdwtm5eUzbv3z7ltFYiBPaQemM5yhKXsid+yG60WizMP+xnEapDDkK71q+aZCrsNG59957G41U8MylgNfQQSypABTw0NZD6OgSN4Md/P+lfBVBPXv2NIyK+7CgRcDOPL6ZIHwWuMyqSfzjP9sGDzZ+NS1526AftHH88cebP/IxScK0gdDS6yfUtmN/aR/nsjvttJN5kaIJ6krYEUy6ZvaUo07yEEQJshqR5iT1H6b5LChMVhZtNCow2cJvFYwufoxgcDEvI1ASvrTQdMUfF+RO8L59+5o0+1+xdVOP9XEKwwPD6Wrh2nbQsnDvi7uQ4TuFjyM+YOk/GqyWMbeY4zrACkeyaX7w4IO5H1En9wcss70g/cpWIi3fPvLxyT0/deM1U2o3mfc5TP/bNq2RdVICfpgsN2JdmLJunnz77ZaN8ti+7KOqMy7jyjUexh1m7Af/ZZD8Z5WUAUC7pVrzueruOfUj2XXbAfLsiJG5shZ0PS4Yh8Ev7ACpKy7jytXnoLmDqfkrB/5Juq3WKVcV9a5/NPYj2Ta1EWY3HOtliCAhqN8RVN2gqrB8kjuoqHkx+BD4kTfeeCPdDIIu3BDZdzjWMTDikJsPqxh8xFv/VOkKPAeWL/AkZ5x6eTF4J+tiCWErH2hewjqJPAgN4T8R0LpULL9USl6MTWbrM51xuEJudww8hwhbIe8mT5S8GALnbLwY7ZdybcTNQak3nlqvVmdlxljypR9+mSM/Tf0632Kh8+OPn/mKQK/aifdnOd6haKizQZMvbX/eX/ISpq2466by0SMvyPxps0I3xfOMUk+Qdny1vgNZp6OkXHMFl2peJaMo2y+0roVd2kivAguzzv76/c8Fli5NMTY9+/fvb4IjR9VC1HMlqn7FqR6U+eDBvPw2SmQomvHHBjNyqtNPPz1DPhSncZSrL6kv4OKInTm0APnDz5KX2FX2m7jWfxf5EYC6wk9bB5qNlqwGgz13f4PacJ2c8zAW0wa+LsMS44V5xvG8JaTvXuGnveb6FWUHyxIMHCZbEEJVnCtTNx8YfAQQWIBjiI8HS1aTgnNXG8xd+KOom11+y3TTHz/hJ33A7UCQDx0+wGzgA4R4BEXiAwSymCMYhZgn2fybgg2CTu8fAtdqZRDMwEP8h4YHfnTbdK6bDyGKZGT56feFZkMCdxNKDR+Bu47YX9bIQ/gJIiss21yGn/K3hg+OjjADAQQmnTtn+r7LyJDlhLUf4YxS6RGoNC+G0MmPx+Hd36FDBwMA72IC0fiR5fey8XqUs3yBXx3eNMuLucLMbG6CLC+GRiV/lqLgl0rJixGIEwJfgjwFkXUNwHUvvxYlLwav7eXDOLe8WFD/okrHNz6b7gh5/foRRVry19yWFkHjqV2wsGT9YmxY2bnBXoP6UYp0nrlqJNy1YYXGnAk7b3rsuqWssE63vIbbtHkzGXD1qbLihr1CzQH6gra6q72dV4ONKHOuuUcsCe5z2PsbxToRpo6mTZsUfJfC1F/OPGCLUpP1DV7wwDwFc91bT/ZGd4rsCKGmFX7yrh80aFBaZgLfhQwFwqXgBRdcEEpZpiEDWbQGKDu9NigNZjfsrrsEU+xHLnOJNqMfub6ksu0ABrWBybklKyi05/Y3TBswhsX6nbQ+SW27Qb9WS4LrUxwfqZiTZyPGh4YBZk+uubkNOERZK0zlOIq6iRxqCU0OzJvAyktEdHeZf+91PkgQciKkvOmmm8xlPobAnLF8+umnJi2b9icZEKpbc3xT4I//0Iq185L77Wpi+gwehQAAQABJREFUuPkqecx9t8JvXlaFmIWAWe877pPa/56Z91B6bberrHNg/sIt7hm7SxAfN96Pqrw7EtMCcZwzFiqeLfucY+YYtNlg8yfn/Sy1H4U3wbLl+G078X2p+X1/SXRexU0u6Jh3B+ZtEM+l39pRUMUxKoQgIM5zB/yteTDPLs+wl+j/EiKtf7V0vffmCTrH6qAmtTkTNTHf7TuFeeO+x6Nuq1rqqzQvFsSHgZ/lxRCk+80x8th7mI3XKzUvZvtAf3gn2/Mo+CW7RlN31LyY1bZECP7cc8/JX//6V5rJIFwEYRpnyVVCsGlR8WJ8aPnxYihKWAE2c6JUayP14s7A69LAfefwnizWTc4J7z8oBDbKh1o3bSGzp86UGh9BIZZQ1p1HmHd5Pu1Wa95y8ZTMGdYw+z7MNVd+W7JITv3gYfl50a95Q7tclw5ywO0XytV99/edB2EqdOeKvgPrEMs1V7jHWCryFyUhz7Au7wpZVz6Y/bX8e0Kdok++/UIRKUwQJLuuVPNcaQga7fne37D50RDH5SPBjS5MuczA8hYi4CRKZWyKwY9jIYwrRtwKPvbYYyY2T9g2Glq+ojVAcwESxhcMOwZ+FFbiH6aNoIXRbYOHi0jmmEFZoS79QvgYxLT79dsvzdVAcK8jnHPNw91rLpMcRoBqNV5dAahbn3scRd2uRinMPQ/Va6kdVGt6hECPwAj4RA0ifLui8WEZYav9iRkXmFvtT45z+WANaqMxpSdWTJkWrlQXQCyfcSc23Cqf7Jq3ihFIPv9QSjU8f6bdDBlzNAInKSkCikBVIRCGTyqGFwtTfxAfBpAuLwZfUAlejDb9KAp+ya9e0qKo224kUR9+8PFnCoZsUCJQZrP6/PPPz/C56b3XyouBXn60Vcc18iuQyr1Vxx4FC73ybkwLlAyBodM/LEj4aTv07W9z5dXv8t9UtOX1VxFQBBQBEOA9b138XHzxxWnhpx86uMo788w6JSk2JBsz+UseI0QEbbZSU1RtoMnG5PESZnzFkpfZtPW9++67ws68H1nNOq6F0Qi0WhaupoFfvaRFUbdXUwOzI/7QemKXyWo00h67YlZjh3NLmNBj3uESuxR77bWXeaitABQTeyskdfPqcX0EanY9WGrvGFz/QlBKz/UlsWafoKua3oAQSE6fLMkxI4sbUSpwUvLTMZJYZ6Pi6tHSioAiUDYEouKTgjocZf3wBZXgxayWjHeMUfBL3jrtebF1e/kw+C6r/QjfyJjcIDJotboWWLYfyotZJML/7t5l/ZQQa6LMW/xbqEKtmjaXPQvw0R6qcs1UNgRmpYSXz8wMGUAyS6/unzpKtuiwhrRs2ixLLr2kCAQj8NUvP+TUAA0urVcaAgK8u5H74MIHS+xchNtIlPwIWA3/4OceMlcdDeF6yTVAqwkkVzvBFVgiXQ+iIIY5KH8+6VajkzKoNucimyeMoDCKuvFJagkfpdbPFw+UFX4iCMWsKsjvlp9mKwJnHkh8Wtox5TJ/t/3Q35QmTc/ektjlL+Gg6LCS1Aw6MVxezVX1CNQO+x/bhUWPo/bpeyWZMhFVUgQUAUUgagRcvkB5sUx0LU9k+Tx4JcvP4Qpp6623TmvTuhG0CSKK5oc18c2sVcTF3F5TXswikfk7f9Fv8sCUUXL62MdCCz+b1TSR09baXpZvtmxmZXpWdQjcn7r3i5O1Rff7tyWL5aGv68fOKLpiraDRIHDDpNcazVh1oP4IWBc4xJoJQ1jb8L5HKS1IAS9MPdWep+QaoNUEED4U8ZHEZMJkfb/99jPdd/1yeseDz81SkY2USv3ffPNN1mbY4beMsRVEZisQRd2uAJQH77zzzjMPE1HqebDoBz6/0AzBPN6PYMot5rfddpsQCOmtt94SIsXaCLEw+ptvvrlfcU0LQKBmwECpbbuCJIffKzK/zkenN2ti/c0lsfeRklh2Oe8lPW+ACCRTa0TNfsdGN7IIPgCi64zWpAgoAg0FAZcvUF5s6V0N4vPgxXB9xMcMvBab9vCDuHVCCxQM27VrZ/IEbei7mCsvthRz79EX82bJfya8mJf582ot28txa2wj3VrVBQPz1qnn1YXAgav3E/7yoednjpcXv6uLZ+CWe/nbT2XnldaVLsu2dZP1WBFQBBoAAgSjQ5aBi6DDDz88cEQo0/Hehfbee28T9Dows+eC3Qwlyjvvd9edkCerOcUCBDkXvAE+QxsrVY0AlOjg3Nwff/xRunbtmhb2Bd24MWPGyMiRS009Ecjh/JXJOGnSJBMNa8MNN0xHUaceNBcnTpwoH3zwgdE+tHUj0AsiIuRaQmMRVWR8OlFXUOAl8lOOvtgAP7aO8ePHyyuvvCLbbbedeQDwfQnTiyn4jjvuaPxi4ZAfZheGlqjovVIBKtjpt4LajTfe2FYX+AvDXGzd3bp1M0JOmOynnnrKRIDFhxYPFuMnMjkY00d8g1qyzqLxS8V9hRBw7r777kYASnkCY7355pvmGr4/eajvuececw6jbh38mgT9zxeBmg22lOTaG0lyXArjL8dLcm7K1ULzFiaATaL3ppJYaXXfcvkkMjdvvfVWU4QNhMMOOyyf4pq3jAgkCHDTsUsZW8zeFGsYTrgh3F6wvinFE4FEl9UlmfqXN3VaOe8iYQqMGjVK+IMGDhxo/HSHKad5ikfA5cXcjdSgmuHF3I1i3v/cOy8vZvkX6uG9EiUv5vrI9PYziBfDl2b37t2rghcjYCTuh/iIeuKJJwx+BCGaNWuW4SPXXXddwfeXXW/BwG6Yc9xYeDF488cff5whC3wyfHY+NPPXn+XST5+TBUsW5ixWIwnZdIVu0r/TmtKn7Srq9zMnYvHKwDfI0KFDTacwK+X5sZSvsPKH3+fLiO8n2uIZv+iR3jflXfnH2jtnpOtJ9SBA7AobYI61eMCAAXl1vvUyzaVj81byfWqe5EuJfAto/rIigKYlvAQyEeQWyEX8CBkP8VIITnjcccf5ZQlMQ56D0JN4KsjJiACfjR566CEjL8qVL1sdDeFarAWgLtNKsCBLXqGhTXd/R48ebQSJNo2obzCDlhA0Pvnkk4IQzxLCu1tuucWepn8RxCE8dV+AXKSOhx9+OJ2PqFouMREtcQyDb825EJbecccd9nL6F6a1TZs2hjHDpydaqExWGLcDDzwwLeS0BWB6IRutlONtt92Wn6wURd20SWSxq666ymB7yimnZLTJhwV9RwvU/bixPkrZEbEY8AI599xzTV18IBE5HmEyhL8KsLV53QBVGQ3qST0EEgg8N+ovwl8JiJ2ks846y9Tcu3dvFYCWAOOGWiUCDjt3eOGrADS+d7pm4KGx6hyRrv/973+bPmF9QKBCpdIhEIYXmzZtmm8H4MWsABQ+4JhjjhE2cS1ZXsx1QYQWIzyXlwrlxdx64CP+/ve/5+TF4EHwPY6QLAp+ye2DexxF3Wwe85EFj3vjjTeaDWPbBussm+p33313OlIx11wBaGPhxfh2sO+ck046KW8B6O1fvhFK+Am+takNIwLdbJASfubSyCG/UrwQ4JvNzpXTTjut3vdfPr19IOXrc1HtksAiH/40TT5K/fVplwpiqlR1CPA9b+fK//3f/+UtAO3ZurNs13ntgtwh6NoS7+li3dKgkMcG5AUXXODbYbs5SfyTfP2po8mJohiBkP7xj3/IJZdcIhttVD9GA4qABKaGR4AOOeQQ3740lsSauA507ty56QWFPiJFP/roo+Xss882QsFll1023fUhQ4akj4MOYAzRVkCgSITxlVeu00xhl88SQjh8HiFoPOCAA8RlyAcPHmy0FhD4oBHKbg8LHRPKElL4E044wQjy+HUFkZMnT05HNCc/H2y0gTajS7SPDydLaNTBIEN8PCB0xB8mvpxQp8bpLWSd2nMNjcswFEXdCCcJcGSJYz4aDjroINlggw2ML0+X0bb5+OV+IDSDMHtnfNtvv705f/nll80v4+Pv+eefN+dovbLDpqQIKAKKgCKgCCgCpUUgGy+GqZYlLGfuuusue+r7i9Y3wk8/XmzevHmmDLwMws8oeTGshiwNHz48FC/G2KqFF+ODyfJO1sQdPnCfffYR658dfNGs9SPlxfxQyUz7PGX6/tncYGuwzNx1ZwQoGTenbiPf77qmNXwEJqbmzDs/TM450HtTWqBL1K1QTpw0gyJQbQggU4IQULpBD+042ASeMGGCscp1eSp7Pcwv8jE2MrHIPfbYY8Ub4Z1NZTSTr732WqONiixsyy23DFN1g80TqQYowsQrr7wyw6wbSbMV4LkoImzMRuzSz549O50FqTiCS0sweVZizu+ee+6ZFmraPO4vzOE///nPdBKai0i/XeEcJjFoM9qIWHvssYfJg2AOQecZZ5xhJPPWiTwm5C7ttttuRnhq02DkX331VXtqTG9sMCDa4g/NVHboLWEKSj2WiNLlBlqiTrRfMB/jQbLalDa/Ox6bFvQbRd2obbtCYI7RSrWaqbSNsNrtp6utigCVnVbGhZk859aUgLIIdBmn1a5FS8xq0XLdJdp48MEH3SRzjGYKglM+5PgAcPGsl7lCCajHW4prH23/3F8vlt5zN285j3k2891Fy9a/uIzLr4+sT5ZYm+wHsE2L66/bb/ocF4yZN961vVAMGZe7PhZaT6nKuQIR+mnffaVqL6p647pesgEYB42McvFi8FWYXFu6//77jcDNbjDbdPvL+sTGq+sLy8uLcW8PPfRQk8/Ox2J5MTRQEbxawgw6Fy+GpipBHC1FwS/Zury/xdZt+Se3Xnhsl89mXbO8K/kstrZMlLwYvLs1H7b184upPbwYPB3rf7nX/GzvHITu+KAPom9XT82FrkvnQ1A+b/ptLzwuXSb/4k1On2MSiZAacvtXTe/y9GBSB8wrl8d3rxVyzNx21/tC6iikjHsvaD/sXGWOW4UNnMZ8vmHKt2fr3J/aM1LuFc6871rpOOM3013eI6eeempg193+MVcqgVFg50JeaChzxeWj8pkrLkyLFy9yT/M4zs07N5S5kgcoscqKrIcNSd7HbMD+9a9/zeifdcuCgBJXcoXQ6quvbnyIoq2OHGj55ZfPqGbGjBnmnPTjjz/eyMwyMjTCk9yrch6g4H/AFV5RFIl3voS2JD4lXfJ+VLhahzzcCFovvfRSt0jGsd0dt4kwtgjX/ve//9kk6devXwZTyK44Gqf/+te/0nl40dAXtBJplw8NFvEwLx/M2PMla+ZHG9tss428++67Rpjo+iVFixSGA0EiWhh+5vp+7UZRNx88ECrYBx98sBHmItDFZA4tV7Q18VHq+rRwPyrQkmVHAuYCYep1110nmDSiKYIQArVuzLfsAs49CyJM5+2YvHkIAoCAtBqEi4W+QL1jLse5K9yJkxCL56GxCEDd+8xzYp8VNz2Ox24/4zR3WHeiFICG/XCq9D3iQ7NaiPliKU5rOuuOl1ex/Sznbzl5MTsunhn4o2y8GHyC10+0lxcDP/LA81hSXkyMtVAQn8dGu3UZhE9c+GM0SvjgwgQPIdv+++8vV199tdk8B1fv+zFKXoz5l40XQxuV9b/ca6P7znH5LNw34ZfWVUawc8/+bnr+YdK16+b2NPTvh5MnyA3n3ByYHz+zW221lcHL+13j9jewgphdiFqoBY/pCpjKNVwX+7D8Cc8XzyIWbVC3XbeUTbb5W+guT+lcIzeefKksnFPnCxJhKppazI9sxLrLX7UR7wzWtKiI9STMt3hU7dl63PkZdq7YsvZ3UWo9LIRghfJZR6t5rhSCT1zK8P697LLLjCIcFrKWT0Qxy8rJyFMM9ezZ02w84s7RWgcjf0EJDR4K2Qpan651czHtVXvZggSgMFM2QjeMjtVyZDGDwQ1DLFLz59ct8t6o5dRtFzGYaT9Hraj48odaL+bSMC+UcZlm2w/y+Kn6dunSxWaRI444IkPD1F5wfYTyIiJYD+NnnCx6SNpZUJC+e4mFnbHYPub6wESzExVmSzCJVmi68847G2EsiyvCTwSvMEuMAQaXKPH24QEL66/URgejTrRLLUVRN4Jqy3SjoctDHUQ49rUava5wgY8fBLsIP9l9x1WBZcwxpUdbgGsQD3dY8/6gfmi6ItBQEUjM+0lqZs2QJT3Wa6hD1HEpAoqAg0CleTHL49Aly+dk48VwG2QZf2cYho+x52iH+vFxxfBiXn4xDC/mbtRGwS+VkhezASO5H2h3BPHhaNJiPQR5LWkaMy/GvckliEnWLt10sXM1zG8y9V2SjWiX9v2ei2zl9Fr8EECwYNeNpi1byPrH7pVXJ5u1bim9jxwoY66qs2RjXrhC8bwq08yKgCIQGwSwsLj++utNkGgU2ZAlQU8//bSxEkNgSdDoYgn5CW1ZOvLII+2h/noQKEgA6qkjfYrTVUzIwxACvCAHrK4zfRhVN9K6t277siEfwjN8hXrJTzhJHtc0Pyhiu8sUoUWIlqglBHmuENWmo4nIGBgjQj0b6ZzrQUJaW9b9RfPRkh0DTBJ99faXc16WmHqxa2j9P/Tp08dWkfHrmoPZABJh6kYz0xLtWLJCS3vu/iIgzvbBgSkaQk6Eu/hztWZbuAKgPRv0Kpv2J+0hPMb5r5cYK+n0g3vm+o/15q3UOfPCalPSR3feVapPYdrlnlli/sQFW1fIbvtXzG9cxuU3BjQVmNvNRwyVJjO/ktpeqY2OppEu7X7NFp3mfoA31LkTp3H53TDWHLvZyIeWn+DJr1yl09x+Mo/i8nxyv+NAyovV3YUoeDG0a1zXOvnwSwTHgBeDT+zq+CF150gUvJg13YYfdp8Ntx2OrdIBx35aIFHxYvDhfrwYvDxWPigPVOK5dd854GTXDbRV+Sh1eVowcmlKp4RMcRNCHm+xbl85+OZgDVA+fK2vWd7jVvMQntrtb8jmKp4t6jWQ7zT7jirn4NxvGneuZOvDySefbIQPKL58uWJCprVfqsWerZx7bY29tpED19taWv+ekENTrkCCqCHMlWxrVdC4s6UzV9xvkmx5o7zmPqdh54q3/WWaLuNNCnUOy2HXsaACOleCkClfOnOTDUiCFeK2EQEoc9Wav6Ngp1ReBGL5lewKQPFnEJamT5/uKwB1tSqD6vJjBskb5mWOkA4pPn6cEHrihDYKQo3ZkrvA2jTvL0w2AlDws5HS8THqR1azlGt+QmNvGVu3KwC1Gp3kfeSRR4z/UyuQdssTTdVlvN1rHBMsCQEuWqxowUL4wcB83gZV4KWCOXw24gPebxF5//33TcAqyiIYi+OOKkyvFYAy1jj20Q971/SD69XSb7+xZEuL+7iWTJkoTce/J4hfmox+WWoG7JFtOLG45q5prLNxx7gQ0OI+LtYd+3HJpkvUGweFYBamjPterqb1MszY4pRHeTERtD+tqx/uTT78EjwpvBgWOUG8bBS8mOWv4P/4oPL6GKPfP/30k9x+++0cGsIqx0tR8WL4GfPjxeAPrWCU9b/ca362dw6WSPwF0Vfzf5CzPx4adDkw/fBtB8rabVYKvO5e4IPYCkArgY/bl7gcu4LIcvbJfRfm8x5fd911ZYXuq8jpYx8TKSSoUYoXWrDxKnLGertlHa47V8CoWpQmsg6qyIuVwgAexFI+c8WW4dddm9z03Me5eWedK7lRLEcO3olsprJBgiUv8hT+kFG5WpuF9AX3h/kSgnO7oZtv2YaQP5YCUBg1iEUlyJTHD3wYVT8q1QsU4c8VV1yRFtq5bTOx2NlFiDdmzJi02ZGbJ9exqzXpaqsGlbN5vEIpv/xuJLIwGNu63WBG9sOZ+vH5iQkcWpponyBQhilHoHnffff5dcGkff7554IGBBFfEYBSD0TAK+pHsApZDVdzov8pAorAUgRSH00tXnrECD9JTL4yVJIbbSOJ1inn+0qKgCKgCBSIgPJi9YHLh1+qX7p+SrG8mMuHUTsaJvDOWCvBg/Lxi29L3Em5bXk/uJUXq39v3JRurTrI+m1XkY9/nu4mZz1es3Xn0MLPrBXpxapC4L4iI7p/OvcbGfXjV7LpCt2qatzaWUVAEQhGgOCQaPu//vrrZqPSKpTtvvvuGRbJwTUEXyFoY76ES8GHHnoo32INJn8sBaBWG7BNmzYmYlZc0f7vf/+bFn6usMIKgp9OpOlMKia61VKxJt2MA2Y0LLnalK62ZVB5GwEega/VJgzK65ruU653795BWU26rRsze0urrLKKPTS/Nvo7zDd9t1oJXKRPqOF7CR+iF198cUYy9eJTdPTo0WnnztYFQEZGPQmFgPFB9en7kvxsjCR/+Dblh2GJJNp1FFlzA0n02VwSy0TnhDxUhzRTpAgkxr4lTb6ZsrTOhb9J8vkhktjvuKVpeqQIFIBAcvYsqb3nygJKpjYwU/MvsUr3gspqoXggoLxY/fuQD79Uv3T9lGJ5Mfgt+E37MQXfdXPK5Jo/hLWY8IfZFFderP698aYc3WNrOSelBTp3UV2kbu9197xpokZ27Ly2m6THjQABBORjfvq66JHeP2WUbNhuNVmmpknRdWkFioAiEA8EiNWCAPSJJ55IK3zZ+C3l6iGyKfiOQiPOl6ufpW4nlgJQolWhzos5D0GW8L0ZN2In3Uaqp7+YmvuZFNFvxmGJ3XrXtMKm+/26mga5zOphcK2QErOiXAJQ+mwJzcts5NbtBqxyBaBouiLopZ+M0Qo/EYRi/gUGNjKi25ZrTsZDiYCY8jD1bn4+xJTyRyD5zVSpfSjlBuHbaRmFk19/IfLRO5J88RGp2fdoSazp7ys2o5CexA6B5O+/SU1K+9NLyfdHSnLzHVMCqB7eS3quCIRHYFEqMrxn7QhdOCWIV6puBJQXq3//8uGX6peunxIVL4YAFBNQND/ZjIaXshY1tLrWWmtJ//79M8zg3d4oL+ai4X/coXkrOX/dXeXKz16UWb/7W5zZkotT5s83fPGajPz+czmh5wBp26ylvaS/DRiBb3+bK+svv7J8PGdGvVEuv8yysvkKqU1BfBWFoGkLZkv3VvH7/g3Rdc2iCCgCPgggKyGgI+4SIYI9u7IUnyKhkqz7QL/MyHCQpc2YMcOY4BNXBaErlraNmWIpAHW1/Ygwf8ABBwTeI8yux40bZ/wy/fOf/xRXQBdYKIILOLe3tOOOOwYKPxFETpgwwWZN+1uzCVZLlHOvdqjru5TIqkziIOEp/kKt7yAip8+dO9c24fvLA0dd1EkAIh6EMHVvvPHG6fp4iMEboScPM+bqCD7xbcG4uda5c2fje+rAAw9Ml3MPYMqHDRtmIqPhCwuXAmgiUN8777yTzopAVCk/BJJTP5fa2y8RWfR7cME5P0rtXZdLYtBJUtNni+B8AVeYv1ZT2f4GZNXkEiCQfHWoJObP8a25dtg90uT4i32vxSGR9cbOmUr5booDDtqH/BFgvti54zXlzb82LRGEgPJi9ZHJh1+qX7p+ShS8GB9VCD1xm7TZZpsZqxo2xOHN2EhHiQC+8Oqrr67fgT9SGgMvFsU7Z9WW7eXfG+wjz30zTp6Z+YnMX5yFv0ph+0lKEHbux0/Kv3rvIe2bLxeIv16IFwK8V+w7Jh/+pH/HnjJ0+oe+g5mz6Fcj0OzfqafvdU2sTgSiWFeqc+Ta60IQQPiIrAOKSvszl+wLWcx6660nyKvOPvtswYKZMpw3VoqlABRnsDidx+ybIDhoEPqp6hJR8uWXXzb3Du3LXBMgypvsCuTwneRHCCQvuOACcf1mYgbuOn63vjUpTz43GJMrkESoOHz4cNlzzz3rNcUu/913351OByvXsX76gnNAu/idePLJJ01eBKBoIvTs2VNw4r3VVluZ3N66t91223QtMNsIRJ9//nmZNWuW7LvvvtKrVy9TT9euXY07ALQ5edBc83eExwg5uWf0AWHns88+a0y4YDrADbN4xmyJHYt77rnHnBIdHpcDSsEIJH9bILX3XZVd+GmLpzRFko/cLMmVu0miQ36atswjdpUgd77aqvW3dAgkf/xOkm88E9zA1ElS++GbUtO37lkOzliZK6wldu7k84FRmd5qq3FC4JxzzpHTTz/ddMl+pMapfw2lL8qL1b+T8FZhebH6peunRMGLwSPfeeedZuP7+uuvN+Z1mLghXIUXQ5D94Ycf1nMphZsheKvGwovxsWffOS4fXv+uZE9p0WQZWS0lCM0l/LS1/LjwF7lm0ityce+BNkl/Y44Aa18hc+WpGR/JTwsXBI5uyNT3ZJMVugpzSKlhIEB070Lmijv6bTv3ko1SLg/yJVeJKt+ymr8yCCDHGTBggGm83LIM5suJJ54or7zyiuETVABamTkQ2Co71scdd5wMHjxYFixYIEceeaScccYZRlUYARmCsTfffDMdIZwbethhhwXWV4oLCPoQgiLgI6IXmqqoMsPMkoZQFIEdu/IuoZnpana6Ak98Nu20005m13H99dd3i5njq666yggaBw0aZASltDN+/Hi59NJLjUCRTOwmoOqci8BvxIgR6WwIJPlD0xRCi4CHFNN+0iHqxr8p9O6775odDNc0H4G1O97bbrvNjMW+GEzB1H8EhXrmmWdM4CMYbz5mGYtLX3yRMtF2iHHyB9G3ci8aTleq4jD5xrOp8LVLXS/k7PTiRcYcPvGXU3Jm1QzxQKD2mftFlizO2pnkcw9Kct1+kmjWPGs+vagIKAKKgBcB5cVamgCMFhfryzwMLwYvh7ZoLoqKF7NWP2xMs6nMnyUCILGZ7bUywsrm0UcfVV7MApXH74MpQVY+NGnedzJ69hTp175rPsU0bxUh8P1v8+TpGR9n7fFPixbIk9PHyoGr98uaTy82LgTaLNNC+FNq+Aggxyqnwp4XUTZGURxAppLNsthbrqGdx1IDFJBhHokOPmTIEGNCfe6554qdNK5mIHnRBEEoVk5i8h5++OFyxx13GKYS83u0mNCgpN/W91KfPn1k8803l1tuucV0Dz+ZrtP7vn37pk3R0Wblj916NGBdwnyJiKxEVOcPf034IXW1S3fYYQc59thj5V//+pdbtN4xmN50000mnT6juefWwwUEnPxZsnVzjvDy8ssvN5cIioT2AUJN64TflqG//GGeRT77MWA1BTGX//e//22En6QhUHY1RW09/BIlHqwgsAgi7zjIhzk+QnKYf/sXVD4u6d4PlaB+kc9vzM3Q/AsqFJBeO/59+fXn2amIVZnCMoT6rsazW9ztZ9ywjXJn1B2nO36wD7rm5ov6uOarz6TZ+NG5q50zWxa+9JgsHlBfczx34eJzhJ07tFQJHINGWI65E9R2OdPZeGKTEeIZt2uz7UMiNb8zVwN7Jffvr7+mgnGlhC5BlG1uBJUJSo/L3Ily3gSNtdzpjZ0Xw4LFElHVf/zxR7MRnYsXw3WT5Xlsee9v1LwYQTjR6rTukGx78FrMTRQJ/vOf/5hkVwMyal6M55HgS15COEs/uG7/vHlKee6uE4W2D7ZfzvlOZvyaxwbzH4Ma+c1EWbdFJ1l22WVDDdPtb6gCMckU5TpYKQzcdsPMFd6l93z5tixKLsl5F56e+bFs1a67rNy6fc68QRny7V9QPZVObwhzxYuhe2+81ypx7vYnzFyuRB+1zfIhgFzG8v3z5s0z8pnytR6flmIrAGVRRJi39dZbGxNqNAJhPFzh50YbbWQ0PxEyVoIOPvhgIVI9ZvoE+YG5s1qKCCgPPfRQwYyCiXb77bcbSTu+OhmTJQSmaECiLWmDGE2fPr0eA4t/JjQx0aZEYu/isPzyyxvNTJiqa665RiZOnGirr/dLGwhtIXx44oeCMaDpiUq0V5hG3aeccoogAIVYPB944AFzjE8JxoVAkj4NHTpUcEuAz1O0UC0TjnkATLkltCggq1l6yCGHGD+vpCNIRTg7bdq0tGCYvNxj1LazER8maOH6ETgjoEXAiuA4zhS2jwRjAG+vf9UWTZvI/L/vm/cQEykt0K3W6iFjZ2Uy9gi7d955ZyOYz1YpDGBcsEWwH6VprHdcvEB4TjHjtvM8GzZRXqtJrY1jDt1RendsG6raRa8MlXUGHS3T5gWbZYWqqIBMPMu403ADffhVw9rJXxwIrTe7RhXbH54Jq5lVbF1Rlw9aP9x2erVvLeOO/LObFPp4l112ltenBVsjhJ0buRq0jFyufOW4zrs0aLOoHO2Xog3lxZZq2WPxgtsf+LxcvBgC0mxUKl4M6yMCIsCHseEO8YzAu7lCTyyRLL8XNS82adIkGTjQ39wbXmzy5MlmY9r7Xs2GV9TXCnnnwFvfe++98uyUD2XTc/O3OhsxbrT8a4v95emnn5bVVltN4K+DiHtj709Qnjims/6xDkZFCOf5vqgk5ZorfFsM/+AN+WTNZqG6SYCsEx+6Rk5fe0fjKgzlnmKoWucKG66uFWQxGFAWYQ48VyUJhRv+4krVPFfiimm19QurDwhLWpTTGislUkxRshoGzwuIlwwfbdw0tCjjcuMQWFnhJB/P3bt3L2hRR6jCAo4PT7RjEE7CKBVDMOFdUz6gLKGpirk+Lx4EoWg0WGIqIFjFdArNBfLx8UM+NDCh999/X0477TRzfOaZZwYyuW4+BNkIsNFuhQGHMbYPIB8TroYFFSM4hnFHmGlN6vfbbz85+eSTTbtB/2UTgFKG+YPPUYTNDYEuvPBCufXWW+tpWqy4XAuZfsIeBQ1x+4dGyGtfz8ooyz3bbrvt0oLvjIsxPYlaAMoGh0sPPvigMP8rIXw5ZoMecuOOS4ORuf0KOn50wtcyaNg7QZdLls7cwTcwGyzVQo1FABq0frj3qRgB6LZDXs0qAK3GueFi43fcEAWg3nE2Nl4Mnmzvvff2wpDXOVYy+DV3qRK8GJulDz30kOkGbqYQ6JaCF0NQGCQApXEEoMccc4xccsklLiSxP8bSjL5326u/9D0lODhr0EB++2mePLXb6WZzlg0glAMaGkUtAOX5q7QANNc9Ojb1LP28y5rSdo1VcmXNuP726SnFk3sfM0HKMi40kpOoBaBsNldaANpIbl3Zh8lc4RtfyR+BXNYmyKnYdMXn9+uvv24qwf8nriarmVz5Vr7jKG7bKd/WisiPQANhnSuwK6K6UEXRrkMTEUIYF2R6jbYQZus2YirO5u2O+jbbbJPh8zNbw9Qf1AYf5SwAYQihjJ9WGkyEnfgbbLBBPSwRdq600krmDx8RCEARiuLLFHMu/JIisCRgEeNjvJiwE2EUbVzXbynaoZboz2effWZO0Tp1acAfjoBtGoJSq7WA1qEVgNrr2X7ZRcUEzEu0D0POi5ExhsXRW08pz8HZvrjpYxgtIlwdIFzm3rjUNCFSm6oPTcF8afmVV5P1266YUezKK680bhwyEv84cftNUlywDYOf33iC0rzjQvubPz5sebGUi1o3rZHB/Xvk3dx+vVaT5+fUyoc//Zp32WIK4PqDyIN+5M6dsHPer56o0+hLVBTX9YbxsX4cddRRgk9pyG/c3ZYLp9FiKvD81717D/m53Uqe1KWn2ebG0lz+R6yVzB+IZ92v7/4lNbVYBBobL4YAxhLvAXixMMQcRXvNj6LmxeDHrr32WqNpv8suu2SYWLu8GFYLluDFXB/uUfJibOD78WIIKODveHZ5br3vVdu3Uv0W+87BkgkB8r2jXiysiwsWGgsw3Ej5kbuusaZFzcf4tRl1WtR9jrq+sOPNZ64cfPn/yX0z3g9bdTrffjeeK506d0rx6vk6rErx+M47UOdKHaSsJ5XgBfKZK+mbX8aDhjBXyv2uKOPtiaSp8847L696UCS0gUTzKtiAMleNALQSmGNGZDUw+VgLEk56+4YpuA0wRER1N+iRN2/Yc5zuU1cYIvK8bd/Nj/TfCkYZCwLebIRAkfwITdFssQJOTBYwyYcwdSIi6uOPPy5EH8X0HWHne+8tdRA/duzYdIS8TTbZJMOsZ+WVV87ogjUbQwsWYWs+hDkRUe29hDZqv351DscRVkdpcuFtq9BzcLYfS+Ae9iOLYFwfffRRvWaX3Hh+SuX183rpWRNatpahb46SROrDJCzx4rdmbLyg4oht2LFkyxc0LuZWOal22P8k+dbzBTV5514DpOakS/O6vwU1FLIQgmPrK5nnMkqXBSG7UPJsMONBc6fkjYdooGvXrulNMfrpZTKT302X2qvPCFFT/Sx33XWnJLqvU/9CBCmYcVkzM4QtCOWUGi4CceHF2OiFFwtDWNLg3sePoubFEGQ+9thjpinWVFwWYfHi5cWsKyJ4DDbB7TkFo+TF2Bz348UQ/O22226mnzyz5V4b3XcO7Yf1xWk6/Md/bBrtdcggOXHMEDc51PHuG24lR7x+VmBe/KZa36msa2jJN3YKywtHjVPYubJg8UJ58rtxBTU/47c58t6CGbLDivm/J925wjzWd6CE/m4q6GZlKYRVhLUGK3RdyVJ90Zd0rhQNYdVXwLcI731kP1h0ojhFEOrGTCoAbUR332qzMmQbcKnQ4cMcUIdl1hCCBTH7n3zyiWkGZheTH2uCRSKCP/yiIkh744035LXXXjN5//KXv9T7GDcX9L9QCCT6/UmSeQpAExtvExvhWKhBNrJMCKOS7xSoeQJWM6dI8v3XJLHJto0MOR2uIqAIKALxQSBqXgwNUDYv0CzFxU+Qmx+7aYBLIa/wT3mx8POjQ/NW0nv5leWTOTPCF0rlHNC5TnEgr0KaOdYIPD7tA5m3uH7Ar7CdfuTr92WLDj1kuaYq7A6LmeZTBBSBTATczczMK3oWhIAKQIOQaYDp+Bi1BPPLbkAuQtMGzSxX+xTNUbRMs/njYBeMXTEI4SZasBdeeKHxb+q2iW9Frw8KgqbstddeaeGqm1+PwyGQ2HiAJN97RWRaXRCEnKWWX0ESf9ozZzbNUDkEap++F7unojqQfP4hSa6/mSRatCyqHi2sCCgCioAiUBgC5eLF4PEwf+TPEvwVWoxeUl7Mi0j284O7bibnfvKkLKoNF6BnQKc1pUerjtkr1atVhcDMX3+W578tTPvTDnTe4t/lsZQQ9W/dNrdJ+qsIKAKKgCJQYgRyS8BK3AGtvnwI4N/TEr4jC3HsP3XqVDnrrLNMsCbqwjcqZmFERB05cmRaKGqFn+TBbytCTgJXeQlTd0sw65jII1ytlN8f25dq/8WMveaQ06X2tktEvp+ZfTjLpSIXH3qmJFq2yp5Pr1YMgeSED0U+T2lSp8wYvOSNYlc/h1NiwTxJvvqkJP78FydRDxUBRUARUATKhUCpeDFcWowbN06wumHjGa1OlzbffHO57LLL3KT0sfJiaShCHay2XHs5qeef5PpJI2RRMrsQFG3RI7pvFapezVQ9CDwwZVTK336KLUv9K4Ze/vazlBn82tJl2cYbkbkY/LSsIqAIKAL5IqAC0HwRq+L8q666arr3n3+ep3/IP0ri18kGBSAqO6ZUlogOj2YDkeTHjx9vnPJzjciZfsJPrvXs2VOGDRsmOOdHUOo1yyKPUmEIJNq0l5oTLpHksw9IcvSrqOLWr2idjaVm4KGSaNeh/jVNiQ0CiV59pcnlQ3z7g1kjmtoQz4/6DfOFSRMVAUVAEYgFAqXmxdiAxs8ovkHhrQhWCfXoERxAT3mx/KfGJit0kwt7t5K7J78lX8z/vl4FzWuayu4r95G9VtlAmhQQ6KZehZoQKwTOXHunWPVHO6MIKAKNGwE2Pl988UV55513TBBvlNNwP7jmmmua2C0EJyS+SiWChcXtzqgAtMJ3hCAqmJQT/RyTcnbwEQT2798/VM/Y7ecPn1JoZ2LqRCAiP8LhLQ8CAkwivBMFbKeddjKOcAliNGrUKONEmrZ5WE499VQhOAn92WeffYy2JxHuIdKp56mnnjJ+PRHCELEdweenn36aDoxDXtf8inMvURcaC0OGDJFZs2YJEegxuUdbwRJ1vvXWW7LlllvaJP0NgUBi2ZaS2OcoSe6wrxgtwh+/S92QlLZCu46SWKuPJFbIjPgeosqMLHxoHXbYYSaNwAfXXHNNxnU9UQSCEGDdu+SSlIZyinbeeWc55phjgrJqeqUQSGmFJzbbobDW27QrrFyIUgR8eeKJJ0xOIlli1qukCBSKABu3BHtkY5go5QReQSAIH2IDPuaq28uL2aAYlLObxrYO5cUsEuX9hX+1GrC77rqrHHnkkUV3ALP2S9bfU76a/4OMmzNTflr4i7Rosoys0rKdbNB2VWnZVAO0FQ1yBSoYM2aMXHHFFablgQMHpvncCnRFm4w5AgT9tcHxcN8WFA8j5sPQ7lUIAWKpEAQZy9diAhMRlJr3G7yIS8iWpkyZYgSjpPft21cuuugicS1R3PyN5VgFoBW60zDELJivvPJKRg8Q9EF33nmnEUJmXHROiPR53XXXybPPPuuk1j+8//77jcm69ff517/+VW6++WYTse6ee+4xbVx66aUZDww7B0R8t0w7izvmUZi7W9N0giDdfffdRmC77bbbyplnnmmEn/V7IKZudiX8dhxw3AuT4X4sTJw40eBiI8JTJ4JVgiSpANQP4dxpiZQwohTBbwi6YKO99u7dO3dHNIci8AcCaCjZudPYX8RxnRSJ1m0lsdcRseseDJ6dO/vvv3/s+qcdqh4E3nzzTcOD4APTJTaEoQ033NBNrncchhdjoxt+7fjjj0/7XlderB6UJU/AOsmuG64WbhQNd2vVQfhTahgIoDll50q3bt0axqB0FCVBAC17O1dQHlJSBPJBAN5jzz33NEEMb7jhBtl0003zKW7yEoj6lFNOMVYfJCDDYd1CdoMrHL63kC8hCGUjEItdZDiN2epWBaB5T7PiC8ydO9fsJqLtCCE4QtsRjUw0QYmEjhan1bb0tshkPuKII4zfTa7169fP+M5s27at8CA9+uijRpOSay+88IKR9rPbDfGxOHz4cGMWxfmVV15pynDcokULE3iIgEVoZ/kRGhGu+TztwdTzUNmHjZ1T1/cUdaG96aelwy4EGqIIR7fbbjuDBR8UfHx89NFHGV3gJfPuu+8KKtzLL798xjU9UQQUAUVAEVAEFAFFICwCWJ3cdNNNJjsfArvssovR/GTzd+zYscaq5YMPPgisLhsvNnnyZGPVYgvDl2GCrryYRUR/FQFFQBFQBBSBxo3AiiuuKLvttpuxqEUh7aGHHspbMIksB5c3q622mtHuXG+99eqBiiIaSncXX3yxsXSB/zn88MPr5WssCSoADXmn0aQMq5qMBmM2uuOOO9ICyhNOOEEOOOCADO1I1OfPP/98w4D71TNixIi08JNgRgcddFBGNqT8VrjKBczbLdONJujZZ58ttAtZrYc2bdqkhZaoYkOY4yPYdImHBVOx2bNnm2TK8wc2X331lflDkIo5Kw+XzUcf/ASgCD/58OCBxFeopYMPPljA/NZbb7VJRiCKUBShKVqnXqLf1qTWvYb6d+fOnU1f+GBxtU3dfJU8dt0EoFUZxz764ePtp/fcr0w50po0aRKpL8y4jMsPO+aLJVwSuOc2PY6/aJFbYv7HBWN8qDJ/oiAYDuufNYr6oq7D3ajCDMdPSz/qNqOoz10v47Sm8y6rFgyjuA+VqCMqXgyNCHgxiM1bLFFcTfRBgwYZkzFMytznxB1zNl4MfggeyKXGwouhaennDodNbHgxNvhZ/8u95sf1nWPniPvurqZ3ue0/v6x/UWoV8V5y13u3rVIeV9NcwQVZ0BpVSoyKrRuLQr4XoyJ4LXiucpOLfZx4WYuDu65U81yx42mIvyi1vfTSSzJz5ky58cYb5Ywzzgg9TO4vvAjyHQSh3bt39y3L2rz99tubdy/Bpom/ogJQX6g00UUAM6koCK0A/GZCf/rTn+TAAw+sVy2anAgE8SXiLlw249ChQ81hx44dBSY9F+Eb1CW/hwOtVEv4CUVTlPbZlXCpXbt2goo2Ju+YiFhC0NmsWTMjxCQ4EkwufrUefPBBk8WrzWnL8QsGrvDTXsNEDNMxNEpd8gpl7TUWdouNTbO/aIyiIs7LCcYyzlQNfbT4uUwijEdcsGUuRklxGVeuMbFe+K0ZucpV4rq3n3HBGJ/EUQpA4zKuXPfYfZZz5a30dfcjJ07rJR9zKgAt7eyIihdD85Nnk2edjwFX+GlHsOOOOxr/5Na8EesUlyy/kYsXs/xHY+HF4LUsNi5eHIMFm9Ks/+VeG913Tpz4FS9GnNNXt79+eeKYhlArSgEo76VK4OC2qXOlNDONtTdKAShzBX6g3OS2qXOlNOhHxZOXpnfF1wr/cdZZZxle5JFHHjGWvdtss02oir/++mvzLkXr00++460Evmbw4MFGhsMGU5TPoLetOJ+rBmjIu4NT/LAPILva7o6Q2wR+LO1iue+++7qXMo4RNCIgffnll41gEbNvS9dff73x58Bib31y2mv8IjyF0JSkvMtk0jfM4i0xLoLYoDpNvxC+wqAyVjQ9LRFk6ZlnnpGNNtpI8J00YMAAeeCBB8xlBJi77767rLzyyhkYHXfccYbRpT36Sj8QTCEgRUN15MiR5hwN2CBiV8QKQFkM8FsRVhM3qE5NVwQUgdwINJmc8kecCpi1ZA317ZobLc2hCCgC5UAgCl4M4YblbzbYYAMT6DGo7/vtt1/avxt+0F3KxouhVQq/Bykv5qKmx4qAIqAIKAKKQMNEACvczz77rKDBdenSxWiB/uMf/zCWwNZ6N1tl1uIXxbMwhHynQ4cORgCKux8VgIZBrRHnIWAR/i/DENoEqCP7EYJESwgEg3xtkqdly5YmK/mY4PiJgJi8PCReQrhJ/Zhe4b+K4EWWEG4iLEUr0zVNQqMBjc5chAYnf5iY237YMghD8TvhR3YMXEMobDXz7OLAA8sHTRC5DqXxTYqf1CBCcPvwww/Xu0xbqHmjIYqKOPXEjfggs6ay9LFaFiRXAI/mU1ywjVoLKy7j8pu3rA/8QZhvo8FYNKXmo7z6mKTsiVJOivulFp3o98rsWkBfmUdxwdid08XiGKdnwm8srDlW04W1Osqx+7UXVZrbT+Z7XOZO1OtOVHg1pHqi4MUwf7eb1Gw2Z+PDwI53Mvkx4XZJeTEXjaXHq6++ui8vhi94TPtYc1j/y/3cuu8c7l2521+KkP9RSd7l/k2VLDXqNZD3kqvxX7KOeyp250qc+BPbTZ0rFomlv3xLVmKuuDy3zpWl9yPKI9YVLAeqgbBSuf3224vqKu/ICy+80MhzTjzxxKx1WfkL8VmY/7nWYGREWPAyb7PJVLI22gAuRv9V2wBAKeUQXAEo2oxhCcbbK3hE7fnpp582gZOY0GhxVoIw/woi90PVzYMgFvIzO3PzIdDhA8Xmd695j/lIQZvDS3y4oOYN0R/yxZlYvOLeR4uft5/ec5uv2n/jPC4rwALjqOZ37bsvSfL7mea2JUa9LDX9d4v8FnrXhjhjXOjg4/4scw/s/EEgwF81kMvgxR3jasCzsfXR5cOwkuEvDHkFoLaM8mIWibpfNnD9eDE+uirJi8X9nWOF8qAY1bs8885U31ml3knuXInjO8adK2DUEPmnfGdrpeZK3PkRnSv5zqTi8iO3iGpzLYzQF9kQymTwIfhIJ4ZKEBGz5ZZbbjGXsSx217mgMg01Pd6SoAaIuhXkMemyaT56h46asiU+WHHY/9xzz9mk9C++d9ZYYw3ZdNNNjel4UCR5W2DnnXeWv/3tb/Y045d28MMJYY5/9NFH++4W5PviRRs1n126fOvPGISeKAKKQF4IJH+ZJ8mXU9qff1DylccluWF/SbRqY5P0VxFQBBSBqkXA8mEMAJ4pLI9hNe3twJUXs0joryKgCCgCioAioAggUwmSq5QCHQTwJ510kpx33nly3XXXGdkPwY522WWXDKWGV199Vf71r3+JDXR91FFHlaI7VVOnCkDLfKvQePzmm2+EqOvDhw8vqPX//ve/aeEn6ssIMZHk9+jRw/jhtLtRX375Zbr+IIEjuxSrrLJKOp974O4aIawNyueWCXOM8BcTfnYrrO+KoHL0oVKarUF9inM6WnvJd16U5KSPRX5OmQtgDt2xiyTW20QSm24viebRRVyMMw7at8IRSL74iMivTrCP31KRNV94SBL7HF14pVpSEVAEFIGYIOBanhx77LGy9957F9Qz5cUKgk0LKQKKgCKgCCgCikBECOy0006CzOfuu+8WXM2MHj1avP5Dv/32WyP8tAJTv+DTEXWnKqpRAWiZbxMBhD744ANBDfn777+XbObjfl0juqaNIk9d+O8MCgpEG5bQuqyUeYDtg/uLMBUBKA8kAZJcHypuvpkzUwI9/BAqZUUAjNDaS746NBW4xomCuOh3kamTJMnfyOFS85eTJdEjnC/brA3qxQaJQPKbryWZMnn3UnL0CEluvqMkunT1XtJzRUARUASqCgF4J0v4zSqElBcrBDUtowgoAoqAIqAIKAJRI3D88cdL37595fHHHzeyFasMZ9tZa621ZM8995SBAwdK794a3FYFoHZmlOkX5/CWUEfOFgGdyKHjxo0zvj//+c9/mqhdBCKytOOOOwYKPwn4M2HCBJs1HXk+nRDhwbBhw+TQQw/NWSNR43EsTtR4TPTffvtt4w+K6PIIRAlE8MUXXxhHx127djWm/BMnTsxZr2ZIxaoZ9j9Jvv1Cdijmz5HaOy6VmiPOlsQa62XPG/IqQvXtttvO5O7evXvIUpotrgjUDr+nLvCRt4MpAXvtsHukybH/9F4p+BztdTt3evXqVXA9WrDxIdCzZ8/03PH6xm58aOiI80WATePWrVsLroXeeecdIYCkG7DRrW/y5MlCEAJ8bMFzDRo0yFyOCy/m+ghDAyRoQ9wdE7wYH0BogDQmXgyFA/vO4WNQSREIQoDn3c4VNxhrUH5Nb7wIuHMFF3RKikClENh8882FP+vb3+3HRhttJPwp1SGgAtAyz4Q///nPxknt7Nmz5a677jK+NTt16lSvFwgDrWN+GNoOHTqYPK7D2iDNBczGiURvo4pTEC1LHPOWgu68807ZZpttpFu3blmrv/feewVGAt8Yu+++u8CEYwKPFisCW5c+/fRT91SPsyCQ/PT93MJPW752idQ+eK3U/N+1kmjR0qYW/ItA+7HH6vxFxknDuOABNeKCyXHviXw5PhiBrz6T5MfvSmL9zYLz5HFlww03TM8dN+JqHlVo1kaKwEEHHST77ruvGX2Q4KqRQqPDDokA/s1vvvlms+EKD4MPLS9hOXPTTTcZQSnC0mOOOSadJS68mLt2ovnRr1+/dB+DDuDFLr/8cnO5MfFiG2+8cfqdUyp+OAhzTa8uBNgYsLytzpXqunfl7u2WW26pc6XcoGt7vgjAs6CUhhk8VrYEfIRHJlI8li+4++nTp49v2caWWNPYBlzp8eJL87jjjjPdQOvgyCOPlNdff12sv01MwnnpnnXWWSYPKsyHHXZYuttoSlnG+4033hC0SG1UTSY+GpMIP9GudGnu3LnuaeTHL774Yqg6ccoLYfJ+yCGHmGMr/GQXDZ8VfNii4aMUDoFafDbmQwS5eev5fEpo3gaOQHLxIql95v6coyRPctHCnPk0gyKgCCgCcUZg//33Nx8F9PGRRx6Riy++OO1vHH7svffeM0EFRo0aZYax3nrrGW1JO6a48GJoslqiz7/84vhvthc8v23btk2PRXkxDzh6qggoAoqAIqAIVBkCyH9QMBs8eLC89tprgvUKym+46/nkk0/k2WefNTKn888/37hhrLLhRd5d1QCNHNLcFeKsdsqUKTJkyBAhGum5555ropCi5YkA1KXTTz/dmCnZNPIcfvjhcscddxjfmJjGowGAwJA6LfOLhB816FtuucUUxTSKwENewsfmm2++6U02564KNf2aOnWquCb8bqGXXnrJRIn3+pxw86AhuMMOO6ST3CBNJH733XeCObwlorMyXnYwICsktte9v1z30xylHXZwieCKkDhXPd56y3HuYo0/z6A+Ish23QI0/2WO9En5bcyX5o8aIeNbrmrRuOIAAEAASURBVJQuRhRcfIfkS65/1mz9zrfeYvMzD6PUSA26H8X2M4ry7twJM7/ffz+lMezxq7vSpNGy6uxZubvz8w/y9QM3y8y1NqmXN4zmkVvI7Xec5g7zJts65o4h1zHjcseZK3+5rzNfLNFP77yw1+L26/Y7zJwvV/+jnDvl6nNjbYd3Hm6GLrzwQsPbwMPwh2sOrGfYoLaES54rrrgiY12IIy/Gxw4fPt7gB4zDbjRzvO222xqek2Moal6MTflJkybVVe78j0YKvBh9qcRz667FlWjfgcL3MK7rmm9nAxKj5r0q9V6qprlCX+PMowZMFbOeRsmnV2quxP25dftXzXMlaB7FPZ1Azq+88oqR7xD7hT/SuBcEokYxDg1NNln5jvKT1eQaI5HdkRchR4HWX399WXfddc1GLu93tJSxuMVy+PnnnzdC0WuvTVmCpr6VGyupALQCd54JR+TRrbfeWogiit9LXl6u8BM/DWh++qkqH3zwwSaKPCb0BDpCsDd+fJ3pKv7QDk3548TUHgb+9ttvNw8ZjD3teQlNUa+2qDcP5whN0PI86qij/C6bhw6fWBtssEHGdfeDGpOS5Zdf3lxnZ8IGc8IsCfN5fJbyoBKhdZ111hE0NCDGC/kJN82FP/5jl2O//fZzk9LHCG5hvsGZhSLOFNRHBNW4RWDRsrRrj5XkqX3629PQv01+/Fa22GKLdH6Ezddcc43RCgkScqczBxzwko0LtmwKRGkaG5dxBUCfTubD0v3QTV9IHfBsjRkzJsOMk+srLtdCJhz1Z5Fmy7jZA4/bffSGbHHS2TJz/q8ZeTAnZd0qRHubD3f+4kAwI0FB2fLtH+tftcwdV+CT7zgrmd9aQFSyD7btNm3aNGqG0uJQLb/4a8P8nT82X9lgdH1qol0JHwJfwbrgpTjyYi+88IKvAHT69Onp7rsb0aXgxdgsz8aL0SZ8ayXXxji9c9I3xjnI9i53ssXuEAs11sGoiPcSgoJKks6V0qCP8NPVYC+2FRSAXGFfsfUVUl7nSiGo5S4TpaA8d2vR5OA9h6u/5557Luf3DcGxn3zyScM/br/99kJAI2KjhCW+3xF+soHLpq6N8H7GGWeYbz80Q1FyGjFihNn4xfc51sZB7+mw7VZzPhWAZrl7//jHP4S/fAlTqjCEdB5NThhBhHPffPONmbxI/zFRCiIYjL322kt22203QYNzxowZhjknCI37MoFhRxugFIQAlz/at4GcEJB6BaBooT7xxBOmC/iasoT5vn1RIehlt8KPrPYn12iLMtYFgF/+hpzGhw07Ny4t27SwR7hZkxqpSQnia//QBITZvvXWW6Vdu3aBWr5uu3pcfQiwScI99tKl26wvrUIKPym7XLOmcnmqzCHP1JmG2vpuu+0240evEAGorUN/FQFFQBHwIlBKXgyNRD42+EP4+dVXXxmBC3wYm7FoigZRnHixSy65ROARxo4dazQ9vL7l4TMh1mc0TSwpL2aR0F9FoLIITPvtZ1ml+fK6iVbZ26CtKwJFIzB69GgTPNHKOdD05N3L5hCKYPyysYPiFops/GE1gQIUCmuUR9kJZbBchKKFdUOI/GmTTepb6Nk6/vSnPxnlOISkbPqqANQio78VQQBtNTQR8o0eh5YS2nqFauwhrCS6aVhiZ8FLfCRQD0w3Owv77LNPOvo8QlwbyIljuyNBHWiiWSK4ANqgVgMWTVEr5HTN81ksUOEOivrLh8zAgQNttelfPmrYgaE89Ual3ZVuIIIDFjAWPggNYb+PLoIWoHGC1rClns2S9jCv3zlLErL/AQeky6ABev3116fPwx64/aZMXLCNercwLuPyuy/Ma/uSZX4HjZ1nkz/8Dlvqnpo/B3e2Z+F/B63TVSat0FW+WLjUfAJt83zMKegzfYey9Tt8r6LJadeeKGoDjzjPHdYcnmGINSef+xcFPoXW4c555nuU96zQPlGuWvArZowNuSw8jh+fk2vMPOOV5sUwe0cAyvNsLX7w+wWhlWQtaKwfdjumUvBifOD58WJs1sMnsvbz3JZ7bYzrO8fei7iua7Z/YX6jXot5L0VdZ5hxlHuuLE4FKL19+ruye+f1ZIv23XJ2UedKfYhYT7hv5aZyz5V8x9cQ5krQd02+WJQjP7KMs88+28xFNhuJd4IJOrKebIQwlHf3Qw89ZNzynHPOOUZL008e4NaDchhue5AhZRN+2jJYCCNPwPqYuVuJ9dX2pZK/wVvbleyVtl0WBNAQXWuttYpui4cJASjmTFdeeWXaHJ+Hyj64O+64Y/qYBvF/YckGfLLn999/vz2s94sZV5AAlB0W2vcS5vt33323SaY/fqZs3jLlPnfN3rP1kcUN37GWkksWS+1FKbcEv2eaI9vrQb/t+20tQw48Iehy6HQ+tli0IV5QccQ29GCyZIzzuNDe5eUHsQnAXzay84d7V3vTBSJff54tu++1lFxPLty4u9ScOLhgoQ8f5dZnMXM+SpcFvp2uQCICsTjPHfDnPkBsglQLk8l8t64emO+5GMsK3HptUhEIjQBrRLG8GBvRaKxiSYQ2CC6FrAWQFczzfLvm73SwFLwYPJofL4bGiX3/IKwo99rovnNonzUvToQ7D+vSgzUt17s8Tn0vVV8qdY/KPVeGzfhIZi2cJ098+5Fs3WUtadEku0sid67oO7Bu9lVqrqBdb10IxX1d0blSqpVqab28f/kuRvh50003hX7PsHFIEOjtttvOuEBkw5C6kLFkI+veBj+iYQh+gHf0lFTcGOLQFLLpG6aduOfRKPBxv0NV0L8BAwakH3CrZUC32VmwZlderQP78WqH5+5AIMhEGOL9GIchRFtUaSkCiSYpra1Nt1uaEPIoscVOIXNqtoaKQHLsWwUJP9N4TJ8syTGvp0/1QBFQBBQBRaAyCPBRY/ksfI9h2m7Jannj99vrXkl5MYuS/ioClUFgzsJfZej0D03jPy1aIE9OH1uZjmirioAiUDQCbD5CaH4WIpTHFd3ee+9t6iBoUS6y73QsPuy7PlsZ5DIITdmAbKzCT/BRDdBss0SvhUKABxy/Es8++6x5+BBgoo1gzdf9zPtx7os5uyXXbAHtHlT2vcTOCO0oZSKQ2HZvSY4fLfJjXfS3zKs+Z+v2E1mlu88FTWosCCQX/ibJZx8oerjJ54dIsvemkmjeoui6tIL4IpBMaQknP3yzoA4mdjtEEinNMyVFQBEoLQIIQAmOCcFD4RO+a9euYk3hd9qp/san8mL53ZPfliySsT9Nk+m//iQct2+2nKy7fBdZfbn6LqLyq1lzN1YEHvp6tPyamkuWnpn5iWzbuZd0atHaJulvI0Xgg9lfy0c/T8979C2bNpMDVts473JaoHgEMEmHVl111YIr69y5zjdZGKUv3uFsgBJdnnd9UEwV2xlM7LE6zZXP5m+ovyoAbah3tszjwv8UAlAINWz8fVoBaK9ever1hoWBqGcQZt3vvfdeOo8VfmIShul8Ib4p05U1goPEsi2l5vCzpPbOy0VmhxCCpoSltf89U2p2/5sk1vQPPtUIYGvUQ0x+/K5IyxRzzZ+l3xaI/LzUNYVNluVSeVq3S596D5IfvS2JTbb1Jut5A0Ig+d0MSb79QkEjSuz611Q5FYAWBJ4WUgTyQACzto022ijtY33jjTdOm2ZSjTWFd6tUXsxFI/i4NlkrT6bMlIdN/0h+q10qrLIl1mzdSQ7rtqV0a9XBJumvIpATga/m/yCvzZqYkW9RconcP+Vd+XuvHTLS9aTxIfD5/Fnywrfj8x54u2VaqgA0b9SiKbDyyisbV4DIOPKN7WJ7YOUjBMvORWhy4toGc3kCRhIQET7AS1h7PProo3LjjTeaS2ioNmZSAWhjvvsRjh2/J5bQ5nQZbbsbYq/z6wZuQgDKbsfw4cNNlptvvllYQFADxz+FFYASUImIZR06KIPpYslxosNKUnPSYEm+/Lgk33slFfWgLuKrN1/6fNYMqb3rMkmkhKA1W+6cTtaDxoFAzcYDRPj7g5Kp3cDaq063p5m/vy6QmuMukkTHLpnpeqYIKAKKgCIQKwSwvrGBjXr06CFPP/10un/Dhg2T/v37p885UF4sAw7fk0WpADVXTnhRPs6iiTVp3iy5YNwwOWXN7WTj9qv71qOJioAXgf999bb4hTJ9b/YUGT9nptEu9pbRc0VAEYgvAv369TPCSPx/9u7dW9Zee+28Ovvqq6/Kk08+acqE1dI8+uij5e233zY+vY899li58MILBcU0SxdddJF899136WDLyFIIzNSYqaYxD17HHh0COLe3hGPdt95K+Rf8gz788EPxCkFx6tu+fXuTA5Mt6yuUhJ49exrhJ8euT1E0Q1X4CSr+lGjZSmoG/k3kT3v6Z/CmpoLgJIffI8mJH3mvhD7HETsavvztscceoctpxnghkHwz9fwGaQ+nPv5qn74v8g6//vrr6blz8cUXR16/VthwEbjqqqvSc8daHjTc0erIFIHwCPCRY2nixIlCRFpLWNo0Zl6MD0vLrwwePNjCkvP3rslvZRV+2goQlF436RWZtmC2TdLfKkUAbSo7V6644oqSjOLtH76UifOWPq/eRu756h2pTfHpSvFGAB7EzhV4E6XGjcBuu+0m3bp1M0FejzrqKBMRfuTIkUY4aYOOugjxHc17m3l08sknpyPI77nnnsImZhhiI/O2224zymTkJ6CSSwRUwuyddCLUn3HGGe7lRnmsGqCN8rbXDXrq1KnmgckHAoSW+OJ0CbVqtDMt8TCzE2EJp7xoHrArYQmV7eOOO05gQomeZ6OV2usw7ZjQ33HHHTbJ7KSkT/TAF4HkvJ9FRtTtHPlm8CYSCXzY/6Tm9KskUZP/fgj31n5wderUyVu7nlcBAsyZ5CtDs/d0wodGUJ5Yq0/2fHlcZd2wc2fu3Ll5lNSsjR0B/CLZuYPPaCVFoJoRiJIXGzFiRBoKGwipS5cuRvDZ2HmxQt45k+d/LyM8JsppgH0OFqaEoPdPGSVnr7OLz1VNqhYErFCC/paCP1m4ZLE8kJon2ejrlCD91e8myPYrrp0tm16rMALuXAnjs7HC3dXmS4xA06ZNTfT3U045RSZNmmTkI66MpEWLFkYQiVIXa4urAGa7tv322xtBpT0P84vy2NChQ+Wll15Km94jmCdOC65ucE+I1ie+wZU0CFKjngNEAbvvvvw0u9iN8ApA2dn45ZdfDJY43EcDFGKngYXgxx9/FDREjzjiCHFN5XHIT94hQ4YIjKmlgw46KP1xa9P4hYlXyo6Aieydy/zdW8UP34h89ZlIj9y+RrxF9bz6EUg+N0QkFRQpF9U+fa/UrPFvDWiTCyi9rggoAopAHgiUghdzm99rr73k4YcfNhooyou5yOQ+HvFdpn/G3CXEBC358ff5skLzVmGya55GiMCwmR/JjwvrvpuyDf/hVICkzTt0l+WaNs+WTa8pAopAjBDAWvXuu+82sg9kHF999VW6dwjM+fNSk1SwUFzUYJ6OGX0hhIwFC1tLRx55pD3UXw8CqgHqAURP80fA+phq1qyZDBo0SC677DJTCU55mzdvLg888ID8/PPPRsuTNEv4CUUrdOutt5azzjrL5OGa1ezhGP8XH3/8MYc5ac6cOUbI6s2IcJadD7RKUT+P4w4dmhmWUFMvtI/NPh8nhTzUv038WBZ3Ws12IfQv2ruWGEOh/bZ1RPXLS4BdtqgoLuPyGw8+dy3xUvXbTbTXvb81M6dI8zEjJeG94Hee8hv722vDZPEm2/tdzTvN3fRgDHHBmN1SNm6iIJ6J+fPnR1FVSeqwAeeonHXS9d3sNvjq8GGym5uQx/God9+VdftskEeJ3FndfsdpTceyoaYATfrcI9YcikBuBFxeDIsMBKt8VLHZDA9WLl7s66+/lr///e/1Okwf4MUwx+M9Ve413303hn3njP+5LqJvvcHkSBg7a4ps0nb1HLkyLxfzLs+sqXJnrH+sg1ER7yUXl6jqzVVPIXMlV532+uyU4JNgWmFo3uLfZciX78oBXTbMyO5ighWEy09lZIzxSUOZK65ZM7xJlOvaQkc5KJ9bSdA224+GMFd4j1UbIRNh85E/4pmMGzfOyCH4JrBKY3xvtGrVyvjiXnPNNdOuAattrNXY32i+8qpx5I20zwQXsmZRUUCAPyl8fELbbLONeZBtvTjgZQGA6YZw6usKQG0+opwNGDAg7fQXZ71EM0XjEwHCwIEDbdasvwgOP/nkE988CMN42VKf+/Hsm7nCicX0MTF/TmG9T5lBF4KL+2Kl4ULqKKzD2UtF/bKMy7iyj1rynt/NXxgSTvj5R8NNX3tKFq7dT5Ipf7PFEvPcpbhg7O2X28d8j4t5lvNtq9j83meZ+ug/Wv37dusku+1UP6pkmDZ32eXPsmvKP/ANN9wQJnveeaoJ47wHpwUaLAKl5sUmT55ssNtiiy2MT3W0QsrFiyGQycaLsdHCelPuNd9d48KuG3MX19fUCTMpf164oKjxhe1fmL6UMw/9jpIqMU/ofyFzJey4H/tmrCxMRXoPS6/8MEm2attNVmzexrdItc4V38EUkch64t63IqrKq6h3zke5rhXjA9avHzpX8rq1kWUmqDPKXkrxQSB/p3/x6bv2JAYIuAEoYLCff/5506u11lrL+KBgtx8BJ4Qmp6sGbhJ9/sNHxTrrrCNt27b1uapJ2RBINl822+XAa4WWC6xQL8Qegabj35MmM+o+ksN2tiZlKt/s9afCZtd8VY4AgoqnnnoqpYnfu+CRXDL4EjnzzDMLLq8FFQFFIDcCLi/Wp08f+fLLL00hAjJAyosZGPL+b9maZfIuQ4FlmzQrqJwWatgIfLHgBxk9d1peg0ymTHQe/S6cxmheFWtmRUARUAQaKQKqAdpIb3wUw2an7bnnnjNVYW6FwNJGf3cjgiMYHT9+vMmHFuhpp50WRfP16iBA05gxY+qlo6GKdio7X5hGe6Oj1StQgQR26qypLH1s2bJlQb2oXX0Nkcl1WOdTQYtua8mynqhxYcrTV0sIS+KIre1fMb9xHhemT9afDJrOuJ3IRcmFv0vytTyCZTkVNhv7pjTvv6skVsrPvM+pwhy6/UQ7O84Ye/se9jzu48IMB815CDMcP81p1s7Nmy0SeerOsMPOyHfM0UdLk+bRuaOgcrefWBk0xLmTAaKeKAJZEPDyYpYPgi/bdNNN0yXLxYsRjMH2Id146uCFF14w/s3gxVj/y/3cuu8c1pAw7Xdv01G+/zF/NybrdFhFll8uMxKvi4XfsfsuxzSSta2xE++lSlAhcyVXP5n3j08dkSub7/Xx87+VybVzpG+7OldV8HzW7F3nSh1klQru4j6nYdcV35vsk9hiTm5+3qeY1CSW8tQNZa4QT6QhEu77CJaERS1EwCLc/0XliqshYhbFmFQAGgWKjbSO0aNHy6xZs8zo8e2Es10YcR5aor5bf1T2JU1GGGD8fvLCjpoQwPkxS7QF4wGRh7+4U6F9rOmzhdSOyFNDr0VLSfTqWxAu3n56z+OOc9j+xXlcbt84ds+DxpccOTwV2nR20OXs6alnKTk8FRDpmAuy58tx1dtP73mO4lVzOc7jcvvGsXvuAsxGR6GGjU1S74Oget02ijkudf3F9E3LKgKlRoCNZcuLzZ49W2wkeDZgjj/++HTz5eLFaNePF2ODrpK8mHed8J6ngXIOtujQQ0b9+JWTkvtw5WXbStdWHXJnzJEjTP9yVFH1lyuFgbdd73khwL42a5J89csPhRQ1Ze5LRY1fv+2q0jT1fLn94dg9L7iBKi8YFwwi7UcR36u2H/aX28uxe17lt7yqu4+85I477pD7779fcBvjEm4AiSJPNHil0iCgAtDS4NooaiWaqCXXYTgaRRMmTLCXMn7ROHrppZdC+/XMKKwnORFAKy/RdytJfvhmzrw2Q2K7vSURsYaWrVt/44dA8qcfJDlyWHEdm/ypJD8ZJYneS7WLiqtQSysCioAioAgUggA8lSWr0c05gR/58yPlxfxQqZ+2SfuuskarTvLF/LrN/vo56qcMWn2T+oma0qgR+HXJQnkoFdG9GPrmtzny/LfjZLcu6xdTjZZVBBSBGCDwv//9T26//Xaj6b/ZZpsJkeORpRAkEKvZc88912wkck0pegRUABo9po2iRlS2vcGUiPzYt29f6ZoKmuGluXPnGq1Q0vEpFzawkbcePc+NQGKvIyX5bcrH0DdTc2ZOrL+ZJLbeNWc+zdBwEEg+e7/I4pRJc5FU+8z9UrP2hpJoutQNQpFVanFFQBFQBBSBPBCAF/vss8/SJdC+XGmllUzABT8TOuXF0lCFOkBb6tS1tpPzP3lKfkoFNspFe6zcRzZuv3qubHq9kSHwxLQPZc6iTC2vQiB4fNoH0r9jT2mWV/jKQlrSMoqAIlAqBND+vOeeewS5yaOPPiodO3bMaOq1114zvvO5pgLQDGgiO1EBaGRQNq6KXnzxxbTvuP33398INFdfPZjpw+wJk/lvvvnG+Lr49NNPTaCjcqP28MMPy/DhKfPfmJE1C7PdKtZEwdS3eCFh2W2V9X8RXDV5VhLH/7P+tZApbr/ZsQrjUytk1UVl69evn7z88stF1WELo1Gzwgor2NPY/br3gM5lmzsmb7I2ujFcek/W9rI1tGjRUiEsZiA2QnG2MuW4duqpp8pFF10USVMjR46M9WZP2LmTXJLyE7ootZ4UQjen1piUECFKsj5vqfOII44wblWirL/Quh555BHZaaedCi2u5RSBvBGAF7PRfvfaay857rjjsroY4pmPAy92/fXXG+2XvAdcRAH3nXPLLbeYD9Cw1YHbwtrFsiT160escMvUNJHnUn/H+mUIkRZ2PQ5RVcWy4Hf2888/j6x9AqKiEVVucufKjTfeKHfeWZgPbNvv2hTf5T9zbI7wv4/LyfUyR/2OrddACRK6dOmSsXlTbBP4HrauQIqtK5/y7ly55pprhLUlKlpUu0T4y5eYDw82qXN/0hDWFeQLuNaLO82bN890MZc/2u+++04WLFhgfGJ7hZ9UMGDAAOnatWs6mGHcx12N/VMBaDXetRj02Zq/s8gOGjTIqG5n6xb5cMBvmQh8VsHYlINWWWUVGTx4sNx8880yffp0QQMiboTjbBv1Hj9ddhEtaT8X1gU/KbYNKxxEUIg2ShwI876oCOYhjnPGjg+/auwiQozbFQ7ZPHH8xa+knTv0OS4YR4kfz0RcxuU3B2DSrAN//DhbQYpf3oLTFtYxhAWX9ylIkDjLYLJWev0n+RQpS5L7IVSWBrWRRo+Ay4sdcsghWYWfgFVJXqxXr16GF7vyyiuF9cZ1nVSOG+m+c1gzol6bl27pFTYa911OUEzXZ2thNZa/VNT+/Vnfo75PYVDhvWj5k1LMlTB9yJYHnG2w1GqdK/Ydnm2c+VzTuZKJ1iKp0zhuCHOFe4tAMO6EYPOJJ56QjTbayFjEuoGC3b6vttpqcsEFF5hvN46x3HAJX94HHXSQcC3MuFEuy5ewELHCV77dEchCnTt3rteffOuuhvwqAK2GuxSzPk6cODG9K8FDjt+KMLTLLrvIXXfdZZzgv/LKK3LSSSelP2LDlC80D86EzznnHHn77bdL84FfaMeccix+VojFR3TUjIHTVOSHtq8ITyxDFnkjeVYYdk6GqZYPRkwK40q8YPlwgphD1SKEQehv5wsfwm3atIkFxFH2g0iycZ47zBvLoHGMWU41EB+nNkovc8j1e1jJ/tvnsJJ90LYbDwLVxov16NHD8GK4QZo2LeWmp8zkfefETcBYre9y9zbaD2o3rZhjPsZLsjGXo1MIB6wwl3lSbmF9ju6Zjcs4vgNz9du9zr2NkioluNG5EuVd9K8LzfJqIOYgVhi5iG9+ZCBB1L59e8EaLSwV+52B9WZcLDjDjrnYfCoALRbBRljeahww9HzM/VgYME1+7733DDPx3HPPCebz5SIblb5c7eXTDubje++9tymCGdtVV12VT/GK5UVbrk+fPqb9dddd1/h3rVhnStQwzM3MmTNLVHvx1eJH5tJLLzUVXX755UYju/haS1/Dm2++acyXaQkz5vPOO6/0jZa5ha222irWc+fEE080QemABZ9Da6yxRpkRKqy5//73v2kzs9tuu0123nnnwirSUopAFSNQrbzYqFGjKoI6LkmOPvpo0/YxxxwjZ511VkX6EdQoCgJXXHGFuYyWbDn546A+VTr9/fffr0gXcKF0wgknmLb5PfPMMyvSj6BGb731Vrn66qvN5WuvvVb4bmjs9NFHH1UEghdeeEFOPrnOLQGRu0877bSK9COo0ZtuukmYI9ANN9wQa7dMQWPQdEUgagQydW6jrl3ra3AIsBNqI46i7dK/f/+8xrjrrksD7mAGr6QIKAKKgCKgCCgCioAiEB4B5cXCY6U5FQFFQBFQBBQBRUARsAioANQiob+hEHj99dcFfzPQ1ltvnTZhDVX4jzLWxBQTqDFjxoQtqvkUAUVAEVAEFAFFQBFo9AgoL9bop4ACoAgoAoqAIqAIKAIFIKAm8AWA1piL7LDDDsJfoYSPI9dsy9Zz+umnC39eateunbzxxhveZD1XBBQBRUARUAQUAUWgUSKgvFijvO06aEVAEVAEFAFFQBEoEgHVAC0SQC2uCCgCioAioAgoAoqAIqAIKAKKgCKgCCgCioAioAgoAvFFQDVA43tvtGeNCAGiTfbu3duMeLXVVquakRPJzva7W7duVdPvhtRRIt7be8BxtVDr1q3T/e7SpUu1dLtB9bNr167pe2AjylbDAFdcccV0vxtb5MpquD/aR0Ugjgi475xio+aWYnxEULfv8hVWWKEUTWidIRHgvWLvRRznCkFlbf+IGK1UOQTcuQJvEjdy5wpWlUqKgCIgkkimSIFQBBQBRUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUWgISKgJvAN8a7qmBQBRUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUXAIKACUJ0IioAioAgoAoqAIqAIKAKKgCKgCCgCioAioAgoAoqAItBgEVABaIO9tTowRUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVABqM4BRUARUAQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEWiwCKgAtMHeWh2YIqAIKAKKgCKgCCgCioAioAgoAoqAIqAIKAKKgCKgCDRVCBQBRaC0CNTW1sqECRNk2rRpsnDhQllvvfWka9eukkgkImt4/vz58uWXX8rUqVOlVatW0rt3b+nYsWNe9f/www/yxRdfyMyZM6VLly6y7rrrSuvWrfOqI1fmcrSRqw/VdL0a5k45+liONqppXoTpazmetSlTpsjXX38ttLXWWmvJmmuuKcsss0yY7pk85biv5Wgj9IA1oyKgCBSNQDme6WLaKKZsWHCi4PnCtlXN+cpxL4ppo5iyYe+LzpVwSJXjXhTTRjFlwyEgonMlLFKar9oRUAFotd9B7X+sERg1apTccMMNgqDAJYSU++23nxx++OFuct7HCFQfffRRueeee+TXX3/NKL/iiivKQQcdJHvuuWdGuveEF94dd9whTz75pCxZsiTjMgKNCy+8UFZdddWM9HxPytFGvn2Ke/5qmDul7iP3qBxtxH0u5NO/cjxrkyZNkuuvv17Gjh2b0bVmzZrJBhtsIOecc46ssMIKGde8J+W4r+VowzsuPVcEFIHSIVCOZ7qYNoopGwa1KHi+MO00hDylvhdgVEwbxZQNc390roRBqS5Pqe8FrRTTRjFlw6CgcyUMSpqnISHQJCXcuLAhDUjHogjEBYE333xTzj77bPnpp59Ml9Cq5I/z33//3QgPON5ss80K0gZNJpNy7rnnytChQ2Xx4sXSokULo4HVqVMns4v3888/yzvvvCPk23DDDX1hoR9nnHGGvPbaayYfAoxevXrJokWL5LfffpMff/xRXn31VenXr5+0b9/et45cieVoI1cfqu16NcydUveRe1aONqptbmTrbzmetY8//liOP/54+eabb0xXWNPQ/oRYc2bMmCGvv/66bL755tKmTRuT7v2vHPe1HG14x6XnioAiUDoEyvFMF9NGMWXDoBYFzxemnYaQp9T3AoyKaaOYsmHuj86VMCjV5Sn1vaCVYtoopmwYFHSuhEFJ8zQ4BFITX0kRUAQiRiAlHEhuu+22ya222iq5++67Jz/77LN0C3Pnzk2efvrp5hrX77vvvvS1fA7uuuuudB0pQWgyJXxIF58zZ04ypYWVvv7YY4+lr7kHV111VTrPlVdemUwJPs3llKlFMiXESI/hz3/+c3LBggVu0dDH5WgjdGeqIGM1zJ1y9LEcbVTBdMiri6V+1mbPnp0cOHCgWTN23HFHs0a4HUwx6knSWdfIZ9cTN0857ms52nDHpMeKgCJQWgTK8UwX00YxZcMiFwXPF7atas5XjntRTBvFlA17X3SuhEOqHPeimDaKKRsOgWRS50pYpDRfQ0JAgyA1OJG2DigOCAwZMsT4+8TP59VXX220Km2/8Kt5+eWXG1NR0p544gmjwWmvh/lF4xPTd2j11VeX888/X5Zffvl0UTSvLrjgAqNxSuKIESPS1+wBfvuGDx9uTvv37280QZs2rfOKQb+33nprueyyy8z1lNBWXnzxRVs09G852gjdmSrJWA1zp9R95FaVo40qmRKhulmOZ+3555+XlBDU9Oe0004za4TbuS233NJoh5JGPrRFvVSO+1qONrzj0nNFQBEoHQLleKaLaaOYsmFQi4LnC9NOQ8hT6nsBRsW0UUzZMPdH50oYlOrylPpe0EoxbRRTNgwKOlfCoKR5GiICKgBtiHdVx1RRBDBDffrpp00fMANdY4016vUHQaP1//n999/LW2+9VS9PtoTRo0fLvHnzTJY99thDmjdvXi87aZiuQ+PGjZNffvklI8+wYcPSgtdDDjkk45o92WSTTTIEtTY97G852gjbl2rIVw1zpxx9LEcb1TAf8uljOZ413GFAbLCkND19u8fGiSX8VrlUjvtajjbcMemxIqAIlBaBcjzTxbRRTNmwyEXB84Vtq5rzleNeFNNGMWXD3hedK+GQKse9KKaNYsqGQ0BE50pYpDRfQ0NABaAN7Y7qeCqOwMSJE432Jx3ZdNNNA/tDpPZll13WXH/uuecC8/ldWH/99eW6666TU045RdDezEUEN8LJtUuffPKJOW3Xrp3xHepec4/xUQpNnjxZCH6SD5WjjXz6E/e81TB3ytHHcrQR97mQb//K8aydd955ctFFF8mpp54qNTW52QdvYLZy3NdytJHvvdH8ioAiUDgC5Ximi2mjmLJhUYmC5wvbVjXnK8e9KKaNYsqGvS86V8IhVY57UUwbxZQNh4CIzpWwSGm+hoZA7i+YhjZiHY8iUGIEPv3003QLNjhIOsE5QAu0e/fuJuXzzz93ruQ+XG655aRv376y7777SufOnX0LYNpgozSvvfbagqDTUsqPh6T8kppTIr1j8h5EPXv2TF/Kp5/laCPdsQZyUA1zpxx9LEcbDWTKmGGU61nD3UbKt7HssMMOgfCNGTMmfW2LLbZIH3NQjvtajjYyBqUnioAiUFIEyvFMF9NGMWXDAlcszxe2nWrPV457UUwbxZQNe290roRDqhz3opg2iikbDgERnSthkdJ8DQ0BFYA2tDuq46k4AtOnT0/3gQjJ2cgKL2fNmmUiw2fLm881IrjjZ3Tq1Kmm2E477ZRRnOjz1iR+pZVWyrjmPbF9JH3atGney4Hn5WgjsPEqvVANc6ccfSxHG1U6RXy7HZdnDZ+f//nPf0wfO3bsaDZp3A6X476Wow13THqsCCgCpUWgHM90MW0UUzYq5HLxfFG1E/d6ynEvimmjmLJRYa9zpQ7JctyLYtoopqzOlagQ0HoaKgJ1EU8a6uh0XIpABRCwgkWadgMT+XXFvY5PTz9fnn7l/NJS0QJl5MiRwkuToEcELmrSpIn8/e9/l1RE5owi8+fPT5+3bds2fex34O2jXx6/tHK04dduNadVw9wpRx/L0UY1zxNv3yv5rLHWfPHFF4IJ/ocffmi6ts4668jgwYPrrWfluK/laMOLv54rAopA6RAoxzNdTBvFlC0Xz1e6uxOvmstxL4ppo5iyOleinWvluBfFtFFMWZ0r0c4Vra3hIaAC0IZ3T3VEFUbAvrSWWWaZnH7ymjVrlu4tu7LF0Pvvvy833nhjRhWYoHrNUMmwYMGCdL5cL0q3j16ffulKfA7K0YZPs1WdVA1zpxx9LEcbVT1RPJ2v5LOGL2Ii0FtivTjooIOkffv2Nin9W477Wo420gPSA0VAESg5AuV4potpo5iyxYCXD89XTDvVVLYc96KYNoopW8x90LlSH71y3Iti2iimbP3Rhk/RuRIeK81ZvQioCXz13jvteUwRsEJCfHzmIoSklhYtWmQPC/olyBEBi4jOjF9P6I033jB+Qp966qmMOm0fSczVT7eP+BUNS+VoI2xfqiWfxSzXPWE87n2pxNwpZR8rhUO1zBNvPy1epOe6L+68yed59rbJOeU7depk1hwCvqEtzjp07rnnytFHHy2Y5rtk+5mrj5Rx+5nP/C5HG+6Y9FgRUARKi0A5nuli2iimbDHI5cPzFdNONZUtx70opo1iyhZzH3Su1EevHPeimDaKKVt/tOFTdK6Ex0pzVi8CuSU01Ts27bkiECkCdjcuqFKcSUNWozKMcMH9sLcR4YPqz5W+zz77CH+WMEe95JJLBP+i+OXD1H2bbbYxl20fOcnVT7ePLVq0sNXn/C1HGzk7EZMMDXHu5Jo3QO/OnXzmt507pWwjJlMjZzfCzB2LF5Xlwsy9J/k8z34dRZB56623pi/BsP9/e/cCPUVVB3D8h4iogEWAIL4ASRCJOGLi44j5JkOMTA8ZKSctOpnhPzPwEaYp1gFTswd2KEnTpNMhX3kQzEwlAT0+D0EIiQKiPJTyBQpu87s0l9nd2d3Z/52ZnZ3/d85Zdh537r3zubO793+5d+4vf/lLueeee0RnMG1paZHf/va3tie8n89aedQIg/nk3rHErCDQ5gSy/r2RRv7CCr2eOl/Y+Xncl0ZZuKThcq5LeXGvlOulURYuabicW3610fdwr0S3ImTzCtAA2rxlR85TFNAhpiNHjqya4qOPPmqeubnnnnuacPoHvM7OXG2Gdf2fNn/xG1D9bdd3nSX+qquukm9/+9smHzNnzrQNoMEGhWAewtLcunWr3V1PHtNIw2Yswyt5u3fSuL/TSCPDt4zNWtR7JyufNc3HJZdcIq+99posXrxYVq5cKfq9qDPH65JGuaaRhi0gVhBAIHGBND7TLmm4nBsnXrU6X5zpZDmuNMrCJQ2Xc+N0517Jfn2EeyXOO564ECgWYAh8sQdbCDgLBCcV2rx5c9X4gkNE/R+7qifUeXDIkCGiL11WrVolb775plkP5jGYB3Ow5J/gNXTu3LnkaOXNNNKonHpzHgmaBd3DriZYbo26d5LKY5Ycwuyzti/oFbwvwvIZLLN6Ps9hcVXap88A9ZdnnnnGXzW90P2NYD78fcH34HXUc38HLZJKI5hP1hFAIFmBND7TLmm4nBu3XKU6X9zpZDW+NMrCJQ2Xc+M2517ZOQFsUnUFl/J2OZd7JW4B4subAD1A81aiXE8iAjrUc8yYMVXj3mWXHf+f0KdPHxvu9ddfl65du9rt0pU33njD7Np///1N79HS43Fs9+3bV55//nkTleZHJyfRPOnz+v7zn/+I7qu2+HnUMAcccEC1oEXH0kijKMGMbuTt3knj/k4jjYzeLkXZinrvZO2zpt85/hL8fkmjXNNIw7823hFAIHmBND7TLmm4nJuEXlidL4l0shhnGmXhkobLuUl4c6/sUE3qbzWX8nY5l3slCQHizJMADaB5Kk2uJTEBndn4u9/9bqT4+/XrZ8MtW7ZMDjnkELsdXNGh5zpEVJdBgwYFD9Vcv+uuu2T+/PmyYcMGufvuu6VaT67g/2z26tXLxq351OeE6rP6qi1Lly61hw899FC7HmUljTSi5KORYfJ276Rxf6eRRiPviahp13vvJPl51u+aH/3oR2Z4+8knnywTJkyoeBnVvnP8k5L6buTe8YV5RyAfAml8pl3ScDk3agnFUeeLmlYzh0ujLFzScDk3arlwr0STSqMsXNJwOTeagAj3SlQpwuVNgCHweStRrqfhAoMHD5a99trL5OMf//hHxfw8/fTTZsZkDTB06NCK4cIO6AzJK1asMD04n3zyybAgZp82si5ZssSsd+vWzfT+9AMfc8wxZlWHmgYbOf3j/vuCBQvMqs723Lt3b393pPc00oiUkSYJ1Az3Thp5TCONJrklImcz6c+afn/of9hoj3B9rme1RRti/eXggw/2VyWNck0jDXtBrCCAQOICaXymXdJwOTcqXhx1vqhpNXO4NMrCJQ2Xc6OWC/dKNKk0ysIlDZdzowmIcK9ElSJc3gRoAM1biXI9DRfQYasnnniiycfChQvlqaeeKsuTTm7ym9/8xuzX57xoj6p6luHDh9vgOsuyxhe26DHtuaXL8ccfXxREJyZp37692TdjxoyiWZf9gNrL1O8hetZZZ/m7I7+nkUbkzDRBwGa4d9LIYxppNMHtUFcWk/6s6SM+jjjiCJOnNWvWyH333Reav40bN4pOuKaLTooU/K5Ko1zTSCP0wtmJAAKJCKTxmXZJw+XcqGDB79HW1vmiptXM4dIoC5c0XM6NWi7cK9Gk0igLlzRczo0mIEX1M75XoqoRLg8CNIDmoRS5hswJjB8/3s54PHnyZHn44YdtA+PatWulpaVFli9fbvI9btw46dixY9k1aOPpiBEjzEvjCC76LM5zzjnH7NLGiEmTJsnq1attEB2C+pOf/ETuvPNOs+/AAw+Ub37zm/a4rvTo0UPGjh1r9ulEJZrG+vXrzbbO/K4NHNdee63Z1t5fo0ePNuvBf6rlUcPFkUYwvbawHse9o8OT/XvHb8D27eK4d5LOo+Y1jjT8a24L73F91qrdO/od4vduv/nmm2XOnDmyfft2w/vRRx+Jfh/o+W+//bbZp99zPXv2LOKPo1yr5VETiyONokyzgQACDRWI4zOd5PdG0vmL43e7oQWYYuJJl4VeiksaLuf6jNXuZe4VX6n2e9JloTlwScPlXP/quVd8Cd4R2CnQruAtOzdZQwCBuAR0iPuUKVNsY8Duu+9uGg/8RkZNZ+TIkXLFFVeEJqmNCZdeeqk5dvTRR5sGzWDAbdu2mYbPxYsX293aCKI9tYITF+kES9qQGXyejH+CNnROnTpVHnnkEX+X7LPPPrJp0yY7PF9nYP7FL34h/fv3t2H8lVp51HCuafhptaV313vnG9/4hn2sgfbGGzBgQBFfHPdO0nnUDLumUXTRbWAjjs9arXtn0aJF5jtL09JFn1Oq3xk6iYC/r127duY/aEr/08UvAtdyrZVHTcc1DT+vvCOAQDYEXD/TSX9vJJ2/OH63s1GSyeci6bLQK3BJw+VcTbvWvcy9okrRlqTLQnPhkobLuZo294oqsCBQLEAP0GIPthCITeDwww83Q0GHDBliGiW3bNlie1jqsPeJEyeaBszWJqjDI6ZPny6XXXaZnWleh7v7jZ86/PTcc8+V2267LbTxU9PVnqdXX321XHjhhWZWeN23bt062/ipDa+33npraOOnho2ypJFGlHw0U5hmuHeSzqOWVxppNNN9USuvaXzWdHid9iw/7rjjTHb0OcOvvPKKbfwcOHCg+c6o1PipJ6VRrmmkUas8OI4AAvEJpPGZdknD5dwoSnHU+aKkk4cwSZeFGrmk4XJulPLhXomitCNM0mWhqbik4XJuFAXulShKhMmbAD1A81aiXE8mBbRnlE5apD0r99tvP/PSnlNxLdqRW3tgrVq1SnQoat++fU2vLO2JVc+icWg+O3XqJNpztHv37vWcHilsGmlEykiTBGqGeyfpPGpRpZFGk9wSkbOZ9GdNnz2sjZ/6nyY61F2/d7THeD1LGuWaRhr1XDNhEUDATSCNz7RLGi7nRpGJq84XJa1mD5N0WaiPSxou50YpG+6VKEo7wiRdFpqKSxou50ZR4F6JokSYPAjQAJqHUuQaEEAAAQQQQAABBBBAAAEEEEAAAQQQQCBUgCHwoSzsRAABBBBAAAEEEEAAAQQQQAABBBBAAIE8CNAAmodS5BoQQAABBBBAAAEEEEAAAQQQQAABBBBAIFSABtBQFnYigAACCCCAAAIIIIAAAggggAACCCCAQB4EaADNQylyDQgggAACCCCAAAIIIIAAAggggAACCCAQKkADaCgLOxFAAAEEEEAAAQQQQAABBBBAAAEEEEAgDwI0gOahFLkGBBBAAAEEEEAAAQQQQAABBBBAAAEEEAgVoAE0lIWdCCCAAAIIIIAAAggggAACCCCAAAIIIJAHARpA81CKXAMCCCCAAAIIIIAAAggggAACCCCAAAIIhArQABrKwk4EEEAAAQQQQAABBBBAAAEEEEAAAQQQyIMADaB5KEWuAQEEEEAAAQQQQAABBBBAAAEEEEAAAQRCBWgADWVhJwIIIBBNYPPmzbJ8+XLZsGGDFAqFiidFDVcxAg4ggAACCCCAAAJtWKCeulQ9YdswKZeOAAIItCmBXdvU1XKxCCCQW4EtW7bIGWecEdv1TZ06VYYNG1YxvmnTpsktt9wiq1evtmE6duwoLS0tcv3119t9UcPZEzK8sn37dmnfvn1mcjhr1iz5wx/+YPLzqU99SqZPn56ZvJERBBBAAAEE8iqQ1TqXeuel3kWdK6+fHq4LAQQaKUADaCP1SRsBBGIT0IrivHnzYovvkksuqRiXNrR9//vfLzu+detW6dWrl90fNZw9IaMr69evl0mTJsnpp58uX/ziFzOTy5deesmW+fvvv5+ZfJERBBBAAAEE8iyQxTqXeueh3kWdK8+fHK4NAQQaLcAQ+EaXAOkjgEBTCTz22GMyefLkojx3795d+vfvL126dJHBgwebY1HDFUWUwY0ZM2bIgAEDRHtbVhvin8GskyUEEEAAAQQQaGKBeupS9YTNKgl1rqyWDPlCAIG8CNADNC8lyXUggECRwGmnnSYjR44s2lfPxsCBA0ODz549W7Tngy4dOnSQBx98UE466aSysFHDlZ2YsR2XXXaZ6HO0WBBAAAEEEEAAgTCBRte5NE95qHdR5wq7u9iHAAIIxCdAA2h8lsSEAAIZEjjyyCPloosuij1Hr776qo1z1KhRoY2fGiBqOBsZK3ULXHXVVaJ/LOiSpWeT1n0hnIAAAggggEATCzS6zqV01LuSvYGocyXrS+wIIJCOAA2g6TiTCgII5ETgnXfesVdy0EEH2fXSlajhSs9jO7rAbrvtJvpiQQABBBBAAIH8CdRTl6onbP6kkr8i6lzJG5MCAggkL8AzQJM3JgUEEMiRwEcffWSvZs8997TrpStRw5WexzYCCCCAAAIIIICASD11qXrCYosAAggg0DYF6AHaNsudq0YAgToEnnjiCVm1apU5Q2fn9JcXXnhBfv/73/ub0rlzZ/F7IFQLd+KJJ8o+++xjzwuuvPvuu7J48WJ57rnn5Pnnn5dXXnlF9HmkQ4cONa8jjjhC2rVrFzyl5rrOTj9nzhxZsGCBie+///2v9O3bV7QH66mnnioaZ3DRNB9//HGz64MPPrCHdIIBf7Z1Pfeoo46yx1qzotenz1BdsWKF/Pvf/5aPf/zjMmjQIPM69NBDzfVWi1fPf/HFF02Qnj17ysknn2yDP/vss7JkyRK7Xe9KtTLSuJIop3rzSHgEEEAAAQTyJhC1zqW/0ytXroxUP6v0m57Ebzl1rvrvyErl48eURDn5cfOOAAJtTMCb1ZcFAQQQaHoBr+Gx4H1929c111wT2zWNHTvWxhtMo3T9uOOOixRu7ty5oXnzGhgLBx54YNU4vAmXCmvWrAk9v3Sn1xuicP311xe6detWNc7Ro0cXli5dak+/++67q4bX6x4/frwNX++K9wdLwWt4rZnGZz7zmcLChQsrRn/55ZfbOI499tiicJdeeqk9VlpOUbYrlZEmEnc5FWWcDQQQQAABBDIukIU6l/5OR62fhf2mx/1bTp1rZx08Sj0rGCasfPyPQNzl5MfLOwIItE0BhsB7374sCCCAQCMFtm3bZibz+exnP2t6aAbzor1Kg8vDDz8sQ4YMMT06g/tL199++235whe+YOLdtGlT0eEuXboUbd93333iNd7aXhRFB2Pe2Lhxo4wcOVIeeuihopg7deok+gouTz31lJxwwgny5JNPBnensr7rruUDJJIop1QuhkQQQAABBBBAwAgk8VtOncvt5qLO5ebH2QggUIdA22z35aoRQCBvAkn2Rnj55ZcLzzzzjHkddthhtmfh17/+dbtfj3vDse12tXDeEPQi/h//+Mc2Tu/ruzB48OCCNzS84DVcmnDe8PvCnXfeWfCGzdtwHTp0KCxbtqwonuDGBRdcYMNqnN4QehPnhg0bTDB9v+666wrec0xtOG/YecEbZlR466237HV4DbD2+LRp0+x+b5h8MLnI69rbVPOjrwMOOKDgPUKgEPR44403TL523313G07PCVuq9QD95z//WfAadiu+HnjggcL8+fML3lD/wvTp021amq8xY8YUtm/fXpZkEuVUlgg7EEAAAQQQyLhAFupcWneIWj8L1jOS+C2nzkWdK+MfWbKHAAL/F2in794ffCwIIIBAUwvo84GCvSW19+Ppp5/eqmvSHoq9e/cOPVd7SnrDccyxKVOmyNVXX+0Ubt26dTJgwADR3gO6fPWrX5WZM2eGzm6uYb3GOVm0aJEJ+7nPfc48Q9NsBP75+9//Lscff7z4X+/nnnuu/PrXv5aOHTsGQu1Y1d6fauWHveOOO2TcuHE2XNeuXWXz5s1m+09/+pOceeaZ9li9K/o8UX3Op/8cUX1Gpz7zM2zxGnxtPrRnwNq1a2XvvfcuCnrFFVfI1KlTzT5vCLwtl6JANTa8RmQ5+uijxWv0NSGHDRtm4imd4CqJcqqRNQ4jgAACCCCQSYGs1bkUKUr9LInfcupc0W9R6lzRrQiJAAIJCWgDKAsCCCDQ7AKlvRG8r8yiXn31bM+bN68ix4gRI2y8XgOoc7jzzjvPxtevX7+CXke1RZ+fqb0//ev5y1/+Uhbca9C0x3v06FEzzi996Us2vNf4WxSf12Bpj3kNoEXH6t3whrLbuPbaa6/QXpZ+nPosrf3226/gTW5U8BooC4888oh/yL5X6wFqA1VZ0d6m3mRQNk/7779/4bXXXgs9I4lyCk2InQgggAACCGRcIGt1LuWKUj9L4recOle0m5U6VzQnQiGAQLICPAM0oYZlokUAAQRqCXhDsuT222+3wbRHY+lzMO3B/694jaRFvTBnzZpVFGTLli3iDe22+7zJgGrGOWHCBPNczosvvrgobhtJTCteA6ONSa9de3lWWnSme50Z/vXXXzez12uP1jiX9957T0aNGiXe8DkTrfYe9obFi/eYgbJkkiinskTYgQACCCCAAAKJCSTxW06dK1pxUeeK5kQoBBBIXqB8lofk0yQFBBBAIHGBPn36iL5as+iw7zSWl156yQ491/SOOeaYSMkOHz5cvJnaTViNI7gsWLBAdGiav0R5DIA3s7zoK+ll3333Fe85o6JD33XRofleb1sz1F2HrnnP/SzKgtfTtWg7rg2vd6mcc845opMs6dK+fXuZPXu2mVwqLI0kyiksHfYhgAACCCDQjALUuXaUGnWu8ruXOle5CXsQQKBxAjSANs6elBFAIEGBr33ta/KDH/wgwRTcow42Xu6yyy7m2Z/a87HWoj0j/WXFihX+qnlfs2ZN0bY30VDRdqM3WlpaxJs8yjb8epMgib722GMP8/wufa6pvj6H+mIDAAAKsUlEQVT5yU8mllXt6Xrvvffa+G+88UY57bTT7HbpShLlVJoG2wgggAACCDSrAHWuHSVHnav8DqbOVW7CHgQQaJwADaCNsydlBBBo4wLBhjX9H3JvNvK6RbzncIk+1N8fuu09Y8nG0a1bNymdzMcebNDK+eefLx/72MfMZE86dMxfdGKkuXPnmtfEiRPNxFBf/vKXxZtZVbTnaFyLNnbecsstNrqLLrpI9FVtSaKcqqXHMQQQQAABBBCIVyCJ33LqXNXLiDpXdR+OIoBA+gI8AzR9c1JEAAEEjIDObB7H4k3cY6PRBlF/0RnXs7h4ky6Z4ecXXnihfOITnwjN4r/+9S/54Q9/KEOHDhVvAqTQMPXunDNnjnzve9+zp2mvT62c11qSKKdaaXIcAQQQQAABBOITSOK3nDpX5fKhzlXZhiMIINA4AXqANs6elBFAoI0LBCcF0smNvBndWyUSfNZpcD3YMNqqiBM8afDgwfLzn/9cbr75Zlm4cKE89NBD5vX000+L9ob1l40bN8opp5xinnmqDaetXTSNcePG2biHDBli4tTnf9ZakiinWmlyHAEEEEAAAQTiE0jit5w6V3j5UOcKd2EvAgg0XoAG0MaXATlAAIE2KnDwwQfbK3/11VdFK9KlEwHZABFX+vfvb0PqsPJNmzaJDoWvtehwdNe0a6URdlwbIHXyJ31dc801og2e2hg6c+ZMefTRR80p27dvN9utbQBduXKljB49WtRDF31cgM743qVLF7Nd658kyqlWmhxHAAEEEEAAgfgEkvgtp85VXj7UucpN2IMAAtkRYAh8dsqCnCCAQBsTCFbGt23bJi+++GIkAW3U1Armhx9+WBY+WBnXgy+//HJZmNIdGl+nTp2kV69ectRRR8ny5ctLg8S2rY2Z+hyu1atXh8bZvXt3+cpXviJ/+9vf5Fvf+pYN89hjj0nwmaH2QI0VvTadVGnDhg0mpD4T9f7775dgT5AaUUgS5VQrTY4jgAACCCCAQHwCSfyWU+cqLh/qXMUebCGAQPYEaADNXpmQIwQQaCMCOtP5brvtZq/2V7/6lV2vtvKd73xHtNKtPTY//elPizYq+ov2bgw++/PWW2/1D1V8/+tf/2qGhuvD/PXZmzoc3190dnp/KRQK/mqr3nWWWG2A1D9CrrzyyppxnHfeeTaM9t4MTmBgD1RZ0QbTM844w56n16Izzg8bNqzKWeWHkiin8lTYgwACCCCAAAJJCSTxW06da2dpUefaacEaAghkV2DnX7bZzSM5QwABBHIpoI2BwUl5Zs2aJU888UTVa33uuedk9uzZJow+K1N7NwafY9muXTuZPHmyjeN3v/ud6PD6Sov2PL3hhhvs4VGjRsmuu+58OkpwFvl3333XhmvNymGHHSYffPCBOVWHoOtw92rLihUr7GG9rj7eIwKiLtpYqw2oCxYssKf89Kc/lTFjxtjtqCtJlFPUtAmHAAIIIIAAAu4CSfyWU+faUS7UudzvT2JAAIF0BGgATceZVBBAIGUBbVzT3oytfekQ8zSWyy+/3A7H1grkmWeeaYZoh6W9bNky0+Dp9/jU3qM6k3rpcvHFF9tenDpM/tRTT5UlS5aUBjND6FtaWmTx4sXmmDZ8Boed604dGu8vf/7zn+0kQv6+et712vwepW+++aacffbZsnnz5tAo1qxZU9SQ+/nPfz7yMzs1wkmTJskf//hHG7duT5w40W7Xu5JEOdWbB8IjgAACCCCQRQHqXP1MsVDn2nF3UufK4qeUPCGAgArs7OaDBwIIIJAjgZ/97Geir9YuvXv3lrVr17b29MjnaQPjjTfeKGeddZZoA+j69evNhD3aE1MnBho0aJDpKfn444+b4dvaY1MXbUi8/fbbbeNpMMGOHTuaXp1+b0dtOB0+fLiMHTtWDj/8cPOsz6VLl8odd9wh+u4v06ZNkyOPPNLfNO+HHHKIaUTWjXvvvVe6du0qaqPx6Pn1LDpUbOrUqbZhU5/zqcPtL7jgAnOde++9t6xbt06effZZue222+S9994z0WuvjWuvvTZyUjr7qF6Lv2hDsV6nziavcWpPVt/RD1P6rs8IffDBB+3uJMrJRs4KAggggAACTSxAnesGO8KEOhd1rib+KJN1BPIv4P3BzYIAAgg0vcA777yjD6iM7eU18oWajBgxwqYxZcqU0DC6M2o4PwLvOZwFb4i3jbvatXg9NQszZszwT634Pnfu3IJeR7W49Jg3hKvg9Y4MjWf+/PmFDh06lMVx0EEHhYaPsnP8+PFl8VXKozdTe8FriAyN1uuVaeM59thjbZh58+bZ/ZXirbXfa5i18QVXkiinYPysI4AAAgggkHWBrNW51KueelcSv+XUuVpfB6fOlfVPPPlDID8CDIH3/gpmQQABBBotcMIJJ5hZ4HVIe8+ePUOz4zVEyvnnn29maZ8wYUJomOBOHfquM8uPGzeuaGKkYBid9X3RokVy0003BXfb9ZNOOknuuuuusjytWrVKtm7dasPVs6K9O71GSvH+WAk9TXu3Dhw4UPQa9REG+pzTrCxJlFNWro18IIAAAggg0BYEkvgtp84V/52TRDnFn0tiRACBZhJop225zZRh8ooAAgi0BQF9npY+t3P58uXSo0cPM1Rch4t37ty51ZevkyG98MILZpi9zsSuw9u7desWKT597qhOSrRp0ybp3r27GXq/xx57RDq3WiCdeV7zpa+33nrLDIXXme2Dzx6tdn6jjyVRTo2+JtJHAAEEEECgLQkk8VtOnSv+OyiJcoo/l8SIAAJZFqABNMulQ94QQAABBBBAAAEEEEAAAQQQQAABBBBAwEmAIfBOfJyMAAIIIIAAAggggAACCCCAAAIIIIAAAlkWoAE0y6VD3hBAAAEEEEAAAQQQQAABBBBAAAEEEEDASYAGUCc+TkYAAQQQQAABBBBAAAEEEEAAAQQQQACBLAvQAJrl0iFvCCCAAAIIIIAAAggggAACCCCAAAIIIOAkQAOoEx8nI4AAAggggAACCCCAAAIIIIAAAggggECWBWgAzXLpkDcEEEAAAQQQQAABBBBAAAEEEEAAAQQQcBKgAdSJj5MRQAABBBBAAAEEEEAAAQQQQAABBBBAIMsCNIBmuXTIGwIIIIAAAggggAACCCCAAAIIIIAAAgg4CdAA6sTHyQgggAACCCCAAAIIIIAAAggggAACCCCQZQEaQLNcOuQNAQQQQAABBBBAAAEEEEAAAQQQQAABBJwEaAB14uNkBBBAAAEEEEAAAQQQQAABBBBAAAEEEMiyAA2gWS4d8oYAAggggAACCCCAAAIIIIAAAggggAACTgI0gDrxcTICCCCAAAIIIIAAAggggAACCCCAAAIIZFmABtAslw55QwABBBBAAAEEEEAAAQQQQAABBBBAAAEnARpAnfg4GQEEEEAAAQQQQAABBBBAAAEEEEAAAQSyLEADaJZLh7whgAACCCCAAAIIIIAAAggggAACCCCAgJMADaBOfJyMAAIIIIAAAggggAACCCCAAAIIIIAAAlkWoAE0y6VD3hBAAAEEEEAAAQQQQAABBBBAAAEEEEDASYAGUCc+TkYAAQQQQAABBBBAAAEEEEAAAQQQQACBLAvQAJrl0iFvCCCAAAIIIIAAAggggAACCCCAAAIIIOAk8D/fj6/J0PNoewAAAABJRU5ErkJggg==" width="672" /></p> </div> </div> </div> <div id="not-sure-what-this-below-is-felix-added-1122020-ich-glaube-dass-das-von-vorher-war.-wenn-wir-alles-oben-haben-dann-unten-loeschen" class="section level2"> <h2>NOT SURE WHAT THIS BELOW IS?? Felix added 11/2/2020: Ich glaube, dass das von vorher war. wenn wir alles oben haben, dann unten loeschen</h2> </div> <div id="figure-s2-sex-bias-including-vr" class="section level2"> <h2>Figure S2: sex-bias, including VR</h2> <p>Prepare data for traits with effect size ratios > 10% larger in males</p> <pre class="r"><code>meta.plotS2.over10 <- meta_clean %>% select(lnCVR, lnVR, lnRR, GroupingTerm) %>% arrange(GroupingTerm) meta.plotS2.over10.b <- gather(meta.plotS2.over10, trait, value, c(lnCVR, lnVR, lnRR)) meta.plotS2.over10.b$trait <- factor(meta.plotS2.over10.b$trait, levels = c("lnCVR", "lnVR", "lnRR")) meta.plotS2.over10.c <- meta.plotS2.over10.b %>% group_by_at(vars(trait, GroupingTerm)) %>% summarise(malebias = sum(value > log(11/10)), femalebias = sum(value < log(9/10)), total = malebias + femalebias, malepercent = malebias * 100/total, femalepercent = femalebias * 100/total) meta.plotS2.over10.c$label <- "Sex difference in m/f ratios > 10%" # restructure to create stacked bar plots meta.plotS2.over10.c <- as.data.frame(meta.plotS2.over10.c) meta.plotS2.over10.d <- gather(meta.plotS2.over10.c, key = sex, value = percent, malepercent:femalepercent, factor_key = TRUE) # create new sample size variable meta.plotS2.over10.d$samplesize <- with(meta.plotS2.over10.d, ifelse(sex == "malepercent", malebias, femalebias)) # *Plot FigS2 Sex difference in m/f ratio > 10% malebias_FigS2_over10 <- ggplot(meta.plotS2.over10.d) + aes(x = GroupingTerm, y = percent, fill = sex) + geom_col() + geom_hline(yintercept = 50, linetype = "dashed", color = "gray40") + geom_text(data = subset(meta.plot2.over10.d, samplesize != 0), aes(label = samplesize), position = position_stack(vjust = 0.5), color = "white", size = 3.5) + facet_grid(cols = vars(trait), rows = vars(label), labeller = label_wrap_gen(width = 18), scales = "free", space = "free") + scale_fill_brewer(palette = "Set2") + theme_bw(base_size = 18) + theme(strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_blank(), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.position = "none", axis.title.x = element_blank(), axis.title.y = element_blank()) + coord_flip() # malebias_FigS2_over10 #(Panel B in Fig S2 in ms)</code></pre> <p>#Metameta_FigS2_male.sig (Figure S2B top right panel)</p> <p>Restructure MALE data for plotting</p> <pre class="r"><code>overall3.male.sigS <- gather(overall.male.plot3, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE) lnCVR.ci <- overall3.male.sigS %>% filter(parameter == "lnCVR") %>% mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper) lnVR.ci <- overall3.male.sigS %>% filter(parameter == "lnVR") %>% mutate(ci.low = lnVR_lower, ci.high = lnVR_upper) lnRR.ci <- overall3.male.sigS %>% filter(parameter == "lnRR") %>% mutate(ci.low = lnRR_lower, ci.high = lnRR_upper) overall4.male.sigS <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) overall4.male.sigS$label <- "CI not overlapping zero"</code></pre> <p>Plot FigS2 all significant results (CI not overlapping zero, male )</p> <pre class="r"><code>Metameta_FigS2_male.sig <- overall4.male.sigS %>% ggplot(aes(y = GroupingTerm, x = value)) + geom_errorbarh(aes(xmin = ci.low, xmax = ci.high), height = 0.1, show.legend = FALSE) + geom_point(aes(shape = parameter), fill = "mediumaquamarine", color = "mediumaquamarine", size = 2.2, show.legend = FALSE) + scale_x_continuous(limits = c(0, 0.4), breaks = c(0, 0.3), name = "Effect size") + geom_vline(xintercept = 0, color = "black", linetype = "dashed") + facet_grid(cols = vars(parameter), rows = vars(label), labeller = label_wrap_gen(width = 23), scales = "free", space = "free") + theme_bw() + theme(strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_text(size = 12), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.title = element_blank(), axis.title.x = element_blank(), axis.title.y = element_blank()) # Metameta_FigS2_male.sig</code></pre> <div id="perc-sex-difference-male-bias" class="section level3"> <h3>10 % Perc sex difference, male bias</h3> <p>Restructure data for plotting : Male biased, 10% difference</p> <pre class="r"><code>overall3S.perc <- gather(overall.male.plot3.perc, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE) # lnVR, lnCVR.ci <- overall3S.perc %>% filter(parameter == "lnCVR") %>% mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper) lnVR.ci <- overall3S.perc %>% filter(parameter == "lnVR") %>% mutate(ci.low = lnVR_lower, ci.high = lnVR_upper) lnRR.ci <- overall3S.perc %>% filter(parameter == "lnRR") %>% mutate(ci.low = lnRR_lower, ci.high = lnRR_upper) overall4S.male.perc <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) # lnVR.ci, overall4S.male.perc$label <- "Sex difference in m/f ratios > 10%" overall4S.male.perc$value <- as.numeric(overall4S.male.perc$value) overall4S.male.perc$ci.low <- as.numeric(overall4S.male.perc$ci.low) overall4S.male.perc$ci.high <- as.numeric(overall4S.male.perc$ci.high)</code></pre> <p>Plot FigS2 all >10% difference (male bias)</p> <pre class="r"><code>Metameta_FigS2_male.perc <- overall4S.male.perc %>% # filter(., GroupingTerm != "Hearing") %>% ggplot(aes(y = GroupingTerm, x = value)) + geom_errorbarh(aes( xmin = ci.low, xmax = ci.high ), height = 0.1, show.legend = FALSE ) + geom_point(aes( shape = parameter, fill = parameter ), color = "mediumaquamarine", size = 2.2, show.legend = FALSE ) + scale_x_continuous( limits = c(-0.2, 0.62), breaks = c(0, 0.3), name = "Effect size" ) + geom_vline( xintercept = 0, color = "black", linetype = "dashed" ) + facet_grid( cols = vars(parameter), rows = vars(label), labeller = label_wrap_gen(width = 23), scales = "free", space = "free" ) + theme_bw() + theme( strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_blank(), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.title = element_blank(), axis.title.x = element_text(hjust = 0.5, size = 14), axis.title.y = element_blank() ) # Metameta_FigS2_male.perc (Figure 5D right panel)</code></pre> <p>Restructure data for plotting: Female bias, 10 percent difference, including VR</p> <pre class="r"><code>overall3S.perc <- gather(overall.plot3.perc, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE) # lnVR, lnCVR.ci <- overall3S.perc %>% filter(parameter == "lnCVR") %>% mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper) lnVR.ci <- overall3S.perc %>% filter(parameter == "lnVR") %>% mutate(ci.low = lnVR_lower, ci.high = lnVR_upper) lnRR.ci <- overall3S.perc %>% filter(parameter == "lnRR") %>% mutate(ci.low = lnRR_lower, ci.high = lnRR_upper) overall4S.perc <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) overall4S.perc$label <- "Sex difference in m/f ratios > 10%" overall4S.perc$value <- as.numeric(overall4S.perc$value) overall4S.perc$ci.low <- as.numeric(overall4S.perc$ci.low) overall4S.perc$ci.high <- as.numeric(overall4S.perc$ci.high)</code></pre> <p>Plot Fig5D all >10% difference (female)</p> <pre class="r"><code>Metameta_Fig3S_female.perc <- overall4S.perc %>% ggplot(aes(y = GroupingTerm, x = value)) + geom_errorbarh(aes( xmin = ci.low, xmax = ci.high ), height = 0.1, show.legend = FALSE ) + geom_point(aes(shape = parameter), fill = "salmon1", color = "salmon1", size = 2.2, show.legend = FALSE ) + # scale_shape_manual(values = scale_x_continuous( limits = c(-0.53, 0.2), breaks = c(-0.3, 0), name = "Effect size" ) + geom_vline( xintercept = 0, color = "black", linetype = "dashed" ) + facet_grid( cols = vars(parameter), # rows = vars(label), # labeller = label_wrap_gen(width = 23), scales = "free", space = "free" ) + theme_bw() + theme( strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)), strip.text.x = element_blank(), strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"), text = element_text(size = 14), panel.spacing = unit(0.5, "lines"), panel.border = element_blank(), axis.line = element_line(), panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"), panel.grid.major.y = element_line(linetype = "solid", color = "gray95"), panel.grid.minor.y = element_blank(), panel.grid.minor.x = element_blank(), legend.title = element_blank(), axis.title.x = element_text(hjust = 0.5, size = 14), axis.title.y = element_blank() ) # Metameta_Fig3S_female.perc (Figure 5D left panel)</code></pre> <p>Figure S2</p> <pre class="r"><code>FigS2c <- ggarrange(Metameta_FigS2_female.sig, Metameta_FigS2_male.sig, ncol = 2, nrow = 1, widths = c(1, 1.2), heights = c(1, 1)) FigS2d <- ggarrange(Metameta_Fig3S_female.perc, Metameta_FigS2_male.perc, ncol = 2, nrow = 1, widths = c(1, 1.2), heights = c(1, 1)) # end combination Figure 5 FigS2 <- ggarrange(malebias_FigS2_sigtraits, malebias_FigS2_over10, FigS2c, FigS2d, ncol = 1, nrow = 4, heights = c(2.2, 2, 2.2, 2), labels = c("A", " ", "B", " ")) FigS2</code></pre> <p><img 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" width="672" /></p> </div> </div> <div id="acknowledgements" class="section level2"> <h2>Acknowledgements</h2> <p>tbd</p> </div> <div id="r-session-information" class="section level2"> <h2>R Session Information</h2> <pre class="r"><code>sessionInfo()</code></pre> <pre><code>## R version 3.6.0 (2019-04-26) ## Platform: x86_64-apple-darwin15.6.0 (64-bit) ## Running under: macOS Mojave 10.14.6 ## ## Matrix products: default ## BLAS: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib ## LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib ## ## locale: ## [1] en_AU.UTF-8/en_AU.UTF-8/en_AU.UTF-8/C/en_AU.UTF-8/en_AU.UTF-8 ## ## attached base packages: ## [1] stats graphics grDevices utils datasets methods base ## ## other attached packages: ## [1] here_0.1 ggpubr_0.2.1 magrittr_1.5 robumeta_2.0 ## [5] kableExtra_1.1.0 forcats_0.4.0 stringr_1.4.0 tidyr_1.0.2 ## [9] tibble_2.1.3 ggplot2_3.2.0 tidyverse_1.2.1 purrr_0.3.2 ## [13] devtools_2.1.0 usethis_1.5.1 metafor_2.1-0 Matrix_1.2-17 ## [17] dplyr_0.8.3 readr_1.3.1 ## ## loaded via a namespace (and not attached): ## [1] httr_1.4.0 pkgload_1.0.2 jsonlite_1.6 ## [4] viridisLite_0.3.0 modelr_0.1.4 assertthat_0.2.1 ## [7] cellranger_1.1.0 yaml_2.2.0 remotes_2.1.0 ## [10] sessioninfo_1.1.1 pillar_1.4.2 backports_1.1.4 ## [13] lattice_0.20-38 glue_1.3.1 digest_0.6.20 ## [16] RColorBrewer_1.1-2 ggsignif_0.5.0 rvest_0.3.4 ## [19] colorspace_1.4-1 plyr_1.8.4 cowplot_1.0.0 ## [22] htmltools_0.3.6 pkgconfig_2.0.2 broom_0.5.2 ## [25] haven_2.1.1 scales_1.0.0 webshot_0.5.1 ## [28] processx_3.4.0 generics_0.0.2 ellipsis_0.2.0.1 ## [31] withr_2.1.2 lazyeval_0.2.2 cli_1.1.0 ## [34] crayon_1.3.4 readxl_1.3.1 memoise_1.1.0 ## [37] evaluate_0.14 ps_1.3.0 fs_1.3.1 ## [40] nlme_3.1-140 xml2_1.2.1 pkgbuild_1.0.3 ## [43] tools_3.6.0 prettyunits_1.0.2 hms_0.5.0 ## [46] formatR_1.7 lifecycle_0.1.0 munsell_0.5.0 ## [49] callr_3.3.0 compiler_3.6.0 rlang_0.4.0 ## [52] grid_3.6.0 rstudioapi_0.10 labeling_0.3 ## [55] base64enc_0.1-3 rmarkdown_1.14 testthat_2.1.1 ## [58] codetools_0.2-16 gtable_0.3.0 reshape2_1.4.3 ## [61] R6_2.4.0 lubridate_1.7.4 knitr_1.23 ## [64] zeallot_0.1.0 rprojroot_1.3-2 desc_1.2.0 ## [67] stringi_1.4.3 Rcpp_1.0.1 vctrs_0.2.0 ## [70] tidyselect_0.2.5 xfun_0.8</code></pre> </div> </div> <div id="rmd-source-code">---
title: "IMPC Mouse data - Variance in sex differences"
author: "Susanne Zajitschek,  Felix Zajitschek, Russell Bonduriansky,Robert  Brooks, Will Cornwell, Daniel Falster, Malgortaza Lagisz, Jeremy Mason, Daniel Noble, Alistair Senior & Shinichi Nakagawa"
date: "August 2019"
output:
  html_document:
    code_download: true
    code_folding: hide
    depth: 4
    number_sections: no
    theme:  flatly
    toc: yes
    toc_depth: 4
    toc_float: yes
  html_notebook:
    toc: yes
  pdf_document:
    toc: yes
    toc_depth: '4'
subtitle: Electronic Supplementary Material
---

# Set-up

## Loading packages & custom functions

```{r, include=FALSE}
knitr::opts_chunk$set(
  echo = TRUE,
  warning = FALSE,
  message = FALSE,
  cache = TRUE,
  tidy = TRUE
)
```

```{r}
library(readr)
library(dplyr)
library(metafor)
library(devtools)
library(purrr)
library(tidyverse)
library(tidyr)
library(tibble)
library(kableExtra)
library(robumeta)
library(ggpubr)
library(ggplot2)
library(here)
```

## Functions 
for preparing the data for meta analyses

### 1) Subsetting data
Create function for sub-setting the data to choose only one data point per individual per trait: "data_subset_parameterid_individual_by_age"

```{r}
data_subset_parameterid_individual_by_age <- function(mydata, parameter, age_min=0, age_center=100) {
  tmp <- mydata %>%
    filter(
      age_in_days >= age_min,
      id == parameter
    ) %>%
    # take results for single individual closest to age_center
    mutate(age_diff = abs(age_center - age_in_days)) %>%
    group_by(biological_sample_id) %>%
    filter(age_diff == min(age_diff)) %>%
    select(-age_diff)# %>% 
#    filter(!duplicated(biological_sample_id))  #Felix 6/2/2020: this line can be deleted
    
  # still some individuals with multiple records (because same individual appear under different procedures, so filter to one record)
  j <- match(unique(tmp$biological_sample_id), tmp$biological_sample_id)
  tmp[j, ] 
  }
```

### 2) "Population statistics"
Create function called: "calculate_population_stats"
This function groups animals from the same strain and same insitiution together. This is done for each trait seoarately, and only for traits that have been measured in both sexes. Any group containing fewer than 5 individuals is excluded.

```{r}
calculate_population_stats <- function(mydata, min_individuals = 5) {
  mydata %>%
    group_by(population, strain_name, production_center, sex) %>%
    summarise(
      trait = parameter_name[1],
      x_bar = mean(data_point),
      x_sd = sd(data_point),
      n_ind = n()
    ) %>%
    ungroup() %>%
    filter(n_ind > min_individuals) %>%
    # Check both sexes present & filter those missing
    group_by(population) %>%
    mutate(
      n_sex = n_distinct(sex)
    ) %>%
    ungroup() %>%
    filter(n_sex == 2) %>%
    select(-n_sex) %>%
    arrange(production_center, strain_name, population, sex)
}
```

### 3) Extraction of effect sizes and sample variances
Function: "create_meta_analysis_effect_sizes"

```{r}
create_meta_analysis_effect_sizes <- function(mydata) {
  i <- seq(1, nrow(mydata), by = 2)
  input <- data.frame(
    n1i = mydata$n_ind[i],
    n2i = mydata$n_ind[i + 1],
    x1i = mydata$x_bar[i],
    x2i = mydata$x_bar[i + 1],
    sd1i = mydata$x_sd[i],
    sd2i = mydata$x_sd[i + 1]
  )

  mydata[i, ] %>%
    select(strain_name, production_center, trait) %>%
    mutate(
      effect_size_CVR = calculate_lnCVR(CMean = input$x1i, CSD = input$sd1i, CN = input$n1i, EMean = input$x2i, ESD = input$sd2i, EN = input$n2i),
      sample_variance_CVR = calculate_var_lnCVR(CMean = input$x1i, CSD = input$sd1i, CN = input$n1i, EMean = input$x2i, ESD = input$sd2i, EN = input$n2i),
      effect_size_VR = calculate_lnVR(CSD = input$sd1i, CN = input$n1i, ESD = input$sd2i, EN = input$n2i),
      sample_variance_VR = calculate_var_lnVR(CN = input$n1i, EN = input$n2i),
      effect_size_RR = calculate_lnRR(CMean = input$x1i, CSD = input$sd1i, CN = input$n1i, EMean = input$x2i, ESD = input$sd2i, EN = input$n2i),
      sample_variance_RR = calculate_var_lnRR(CMean = input$x1i, CSD = input$sd1i, CN = input$n1i, EMean = input$x2i, ESD = input$sd2i, EN = input$n2i),
      err = as.factor(seq_len(n()))
    )
}
```

 
### 4) Calculate meta-analysis statistics

Based on a function created by A M Senior @ the University of Otago NZ 03/01/2014: 

* Calculates effect sizes for meta-analysis of variance.  All functions take the mean, sd and n from the control and experimental groups.
* The first function, calculate_lnCVR, calculates the the log response-ratio of the coefficient of variance (lnCVR) - see Nakagawa et al 2015.
* The second function calculates the measurement error variance for lnCVR. As well as the aforementioned parameters, this function also takes Equal_E_C_Corr (default = T), which must be True or False. If true, the function assumes that the correlation between mean and sd (Taylor's Law)  is equal for the mean and control groups, and, thus these data are pooled. If False the mean-SD correlation for the experimental and control groups are calculated separately from one another.
* Similar functions are then implemented for lnVR (for comparison of standard deviations) and ln RR  (for comparison of means) 
 
```{r}

calculate_lnCVR <- function(CMean, CSD, CN, EMean, ESD, EN) {
  log(ESD) - log(EMean) + 1 / (2 * (EN - 1)) - (log(CSD) - log(CMean) + 1 / (2 * (CN - 1)))
}

calculate_var_lnCVR <- function(CMean, CSD, CN, EMean, ESD, EN, Equal_E_C_Corr = T) {
  if (Equal_E_C_Corr == T) {
    mvcorr <- 0 # cor.test(log(c(CMean, EMean)), log(c(CSD, ESD)))$estimate   old, slightly incorrect
    S2 <- CSD^2 / (CN * (CMean^2)) + 1 / (2 * (CN - 1)) - 2 * mvcorr * sqrt((CSD^2 / (CN * (CMean^2))) * (1 / (2 * (CN - 1)))) + ESD^2 / (EN * (EMean^2)) + 1 / (2 * (EN - 1)) - 2 * mvcorr * sqrt((ESD^2 / (EN * (EMean^2))) * (1 / (2 * (EN - 1))))
  }
  else {
    Cmvcorr <- cor.test(log(CMean), log(CSD))$estimate
    Emvcorr <- cor.test(log(EMean), (ESD))$estimate
    S2 <- CSD^2 / (CN * (CMean^2)) + 1 / (2 * (CN - 1)) - 2 * Cmvcorr * sqrt((CSD^2 / (CN * (CMean^2))) * (1 / (2 * (CN - 1)))) + ESD^2 / (EN * (EMean^2)) + 1 / (2 * (EN - 1)) - 2 * Emvcorr * sqrt((ESD^2 / (EN * (EMean^2))) * (1 / (2 * (EN - 1))))
  }
  S2
}

calculate_lnVR <- function(CSD, CN, ESD, EN) {
  log(ESD) - log(CSD) + 1 / (2 * (EN - 1)) - 1 / (2 * (CN - 1))
}

calculate_var_lnVR <- function(CN, EN) {
  1 / (2 * (EN - 1)) + 1 / (2 * (CN - 1))
}

calculate_lnRR <- function(CMean, CSD, CN, EMean, ESD, EN) {
  log(EMean) - log(CMean)
}

calculate_var_lnRR <- function(CMean, CSD, CN, EMean, ESD, EN) {
  CSD^2 / (CN * CMean^2) + ESD^2 / (EN * EMean^2)
}
```

## Load & clean data

### 1) Data loading and cleaning of the csv file

This step we have already done and provide a cleaned up file which is less computing intensive and which we have saved in a folder called `export`. However, the cvs is provided in case this is preferred to be attempted, following the steps below:

```{r clean, eval=FALSE, include=TRUE}
# loads the raw data, setting some default types for various columns

load_raw <- function(filename) {
  read_csv(filename,
    col_types = cols(
      .default = col_character(),
      project_id = col_character(),
      id = col_character(),
      parameter_id = col_character(),
      age_in_days = col_integer(),
      date_of_experiment = col_datetime(format = ""),
      weight = col_double(),
      phenotyping_center_id = col_character(),
      production_center_id = col_character(),
      weight_date = col_datetime(format = ""),
      date_of_birth = col_datetime(format = ""),
      procedure_id = col_character(),
      pipeline_id = col_character(),
      biological_sample_id = col_character(),
      biological_model_id = col_character(),
      weight_days_old = col_integer(),
      datasource_id = col_character(),
      experiment_id = col_character(),
      data_point = col_double(),
      age_in_weeks = col_integer(),
      `_version_` = col_character()
    )
  )
}

# Apply some standard cleaning to the data
clean_raw_data <- function(mydata) {
  
  group <- read_csv(here("data", "ParameterGrouping.csv"))
  
  tmp <- 
    mydata %>%

    # Filter to IMPC source (recommend by Jeremey in email to Susi on 20 Aug 2018)
    filter(datasource_name == "IMPC") %>%

    # standardise trait names
    mutate(parameter_name = tolower(parameter_name)) %>%

    # remove extreme ages
    filter(age_in_days > 0 & age_in_days < 500) %>%

    # remove NAs
    filter(!is.na(data_point)) %>%

    # subset to reasonable set of variables, date_of_experiment used as an indicator of batch-level effects
    select(production_center, strain_name, strain_accession_id, biological_sample_id, pipeline_stable_id, procedure_group, procedure_name, sex, date_of_experiment, age_in_days, weight, parameter_name, data_point) %>% 

    # sort
    arrange(production_center, biological_sample_id, age_in_days)
      
    # filter to groups with > 1 centre  
    merge(tmp, 
          tmp %>% group_by(parameter_name) %>%
    summarise(center_per_trait = length(unique(production_center, na.rm = TRUE)))
        )%>%
    filter(center_per_trait >= 2) %>% 

    # Define population variable
    mutate(population = sprintf("%s-%s", production_center, strain_name)) %>% 

    # add grouping variable: these were decided based on functional groups and procedures 
    mutate(parameter_group = group$parameter[match(parameter_name, group$parameter_name)] ) %>%
    
    # Assign unique IDs (per trait)
    # each unique parameter_name (=trait,use trait variable) gets a unique number ('id')

    # We add a new variable, where redundant traits are combined
    #[note however, at this stage the dataset still contains nonsensical traits, i.e. traits that may not contain any information on variance]
    mutate(id = match(parameter_name, unique(parameter_name))) %>% 
    as_tibble()
}

# Load raw data - save cleaned dataset as RDS for reuse
data_raw <- load_raw(here("data","dr7.0_all_control_data.csv.gz"))
dir.create("export", F, F)

data <- data_raw %>% 
  clean_raw_data() 
saveRDS(data, "export/data_clean.rds")
```

For analysis we load the RDS created above and other datasets:

```{r load}
data <- readRDS(here("export", "data_clean.rds")) 

procedures <- read_csv(here("data", "procedures.csv"))

```


Checking length of different variables and sample sizes.

### Table 1:  "Strains and Center Sample Sizes"
This table summarises the available numbers of male and female mice from each strain and originating institution.

```{r echo = FALSE, results = 'hold'}
#length(unique(data$parameter_name)) # 232 traits
#length(unique(data$parameter_group)) # 161 parameter groups
#length(unique(data$procedure_name)) # 26 procedure groups
#length(unique(data$biological_sample_id)) # 27147 individial mice   

#number of males and females per strain per production center 
kable(cbind(data %>% group_by(production_center, strain_name) %>% count(biological_sample_id, sex) %>% count(sex) %>% print(n = Inf))) %>%
  kable_styling() %>%
  scroll_box(width = "70%", height = "200px")

## SZ: I don't understand why the tibble is showing in the knitted html
```


# Meta-analyses
## 1. Population as analysis unit 
(Step C, Figure 3 in main document)

### Loop: Meta-analyses on all traits

* The loop combines the functions mentioned above and fills the data matrix with results from our meta analysis. 
* Error messages indicate traits that either did not reach convergence, or that did not return meaningful results in the meta-analysis, due to absence of variance. Those traits will be removed in later steps, outlined below.

```{r}

n <- length(unique(data$id))

# Create dataframe to store results
results_alltraits_grouping <- 
    tibble(id = 1:n, lnCVR=0, lnCVR_lower=0, lnCVR_upper=0, 
           lnCVR_se=0, lnVR=0, lnVR_lower=0, lnVR_upper=0, 
           lnVR_se=0, lnRR=0, lnRR_lower=0, lnRR_upper=0, lnRR_se=0, sampleSize=0, trait=0)

for (t in 1:n) {
  tryCatch(
    {
      results <- data %>% 
        data_subset_parameterid_individual_by_age(t) %>%
        calculate_population_stats() %>%
        create_meta_analysis_effect_sizes()

      # lnCVR,  log repsonse-ratio of the coefficient of variance
      cvr <- metafor::rma.mv(yi = effect_size_CVR, V = sample_variance_CVR, 
                             random = list(~ 1 | strain_name, ~ 1 | production_center, ~ 1 | err), 
                             control = list(optimizer = "optim", optmethod = "Nelder-Mead", 
                                            maxit = 1000), verbose = F, data = results)

      # lnVR, comparison of standard deviations
      cv <- metafor::rma.mv(yi = effect_size_VR, V = sample_variance_VR,
                            random = list(~ 1 | strain_name, ~ 1 | production_center, ~ 1 | err), 
                            control = list(optimizer = "optim", optmethod = "Nelder-Mead", 
                                           maxit = 1000), verbose = F, data = results)

      # for means, lnRR
      means <- metafor::rma.mv(yi = effect_size_RR, V = sample_variance_RR, 
                               random = list(~ 1 | strain_name, ~ 1 | production_center, ~ 1 | err), 
                               control = list(optimizer = "optim", optmethod = "Nelder-Mead", 
                                              maxit = 1000), verbose = F, data = results)
      
      f <- function(x) unlist(x[c("b", "ci.lb", "ci.ub", "se")])

      results_alltraits_grouping[t, 2:14] <- c(f(cvr), f(cv), f(means), means$k)
      results_alltraits_grouping[t, 15] <- unique(results$trait)
    },
    error = function(e) {
      cat("ERROR :", t, conditionMessage(e), "\n")
    }
  )
}
```

In the above function, we use 'tryCatch' and 'conditionMessage' to prevent the loop from aborting when the first error at row 84 is produced.
As convergence in the two listed non-converging cases can't be achieved by sensibly tweaking (other optim etc.), and we only learn about non-convergence in the loop, it is not possible to exclude the traits (N=2) beforehand.
Similarly, there are 8 traits with very low variation, which can not be excluded prior to running the loop.

The produced "Warnings" indicate cases where variance components are set to zero during likelihood optimization.


### Merging datasets & removal of non-converged traits

Procedure names, grouping variables and trait names ("parameter_names") are merged back together with the results from the metafor analysis above.
 
```{r}
results_alltraits_grouping2 <- 
  results_alltraits_grouping %>% 
  left_join(by="id",
             data %>% select(id, parameter_group, procedure = procedure_name, procedure_name, parameter_name) %>%   # We filter duplicated id's to get only one unique row per id (and there is one id per parameter_name)
              filter(!duplicated(id))
            ) %>%
  # Below we add 'procedure' (from the previously loaded 'procedures.csv') as a variable
  left_join(by="procedure", 
            procedures %>% distinct()
            )

#(n <- length(unique(results_alltraits_grouping2$parameter_name))) # 232
```

### Removal of traits 

14 traits from the originally 232 that had been included are removed because they either did not achieve convergence or are nonsensical for analysis of variance (such as traits that show no variation, see list below). 

Not converged: "dp t cells", "mzb (cd21/35 high)"

Not enough variation: "number of caudal vertebrae", "number of cervical vertebrae", "number of digits", "number of lumbar vertebrae", "number of pelvic vertebrae", "number of ribs left","number of ribs right", "number of signals", "number of thoracic vertebrae", "total number of acquired events in panel a","total number of acquired events in panel b", "whole arena permanence".


```{r}
# We exclude 14 parameter names for which metafor models didn't converge ("dp t cells", "mzb (cd21/35 high)"), and of parameters that don't harbour enough variation
meta_clean <- results_alltraits_grouping2 %>% 
	  filter(!parameter_name %in% c("dp t cells", "mzb (cd21/35 high)", "number of caudal vertebrae", 
	  "number of cervical vertebrae", "number of digits", "number of lumbar vertebrae", "number of pelvic vertebrae", "number of ribs left",                       
        "number of ribs right", "number of signals", "number of thoracic vertebrae", "total number of acquired events in panel a",
        "total number of acquired events in panel b", "whole arena permanence"))

```
 

## 2. Meta-analysis: condensing non-independent traits 
(Step F in Figure 3 in main article)

### Dealing with Correlated Parameters, preparation

This dataset contained a number of highly correlated traits, such as different kinds of cell counts (for example hierarchical parameterization within immunological assays). As those data-points are not independent of each other,  we conducted meta analyses on these correlated parameters to collapse the number of levels.

#### Collapsing and merging correlated parameters

Here we double check numbers of trait parameters in the dataset

```{r}

meta1 <- meta_clean 
length(unique(meta1$procedure)) #18
length(unique(meta1$GroupingTerm)) #9
length(unique(meta1$parameter_group)) # 148 levels. To be used as grouping factor for meta-meta-analysis / collapsing down based on things that are classified identically in "parameter_group" but have different "parameter_name"
length(unique(meta1$parameter_name)) #218
```

#### Count of number of parameter names (correlated sub-traits) in each parameter group (par_group_size) 

### Table 2: Numbers of correlated and uncorrelated traits
This serves to identify and separate the traits that are correlated from the full dataset that can be processed as is. If the sample size (n) for a given "parameter group" equals 1, the trait is unique and uncorrelated. All instances, where there are 2 or more traits associated with the same parameter group (90 cases), are selected for a "mini-meta analysis", which removes the issue of correlation.

```{r}
kable(cbind(meta1 %>% count(parameter_group))) %>%
  kable_styling() %>%
  scroll_box(width = "60%", height = "200px")
```

```{r}
meta1_sub <- meta1 %>%
  # Add summary of number of parameter names in each parameter group
  group_by(parameter_group) %>%
  mutate(par_group_size = length(unique(parameter_name)), 
         sampleSize = as.numeric(sampleSize)) %>% 
  ungroup() %>% 
  # Create subsets with > 1 count (par_group_size > 1)
  filter(par_group_size > 1) # 90 observations
```

#### Meta-analyses on correlated (sub-)traits, using robumeta` 
Here we pepare the subset of the data (using nest()), and in this first step the model of the meta-analysis effect sizes are calculated

```{r}

# Create summary of number of parameter names in each parameter group, and merge back together

meta1b <-
  meta1 %>%
  group_by(parameter_group) %>% 
  summarize(par_group_size = length(unique(parameter_name, na.rm = TRUE)))

meta1$par_group_size <- meta1b$par_group_size[match(meta1$parameter_group, meta1b$parameter_group)]

# Create subsets with > 1 count (par_group_size > 1) 

meta1_sub <- subset(meta1,par_group_size >1) # 90 observations   
meta1_sub$sampleSize <- as.numeric(meta1_sub$sampleSize)

# Nesting and meta-analyses on correlated traits, using robumeta

n_count <- meta1_sub %>%
  group_by(parameter_group) %>%
  mutate(raw_N = sum(sampleSize)) %>%
  nest() %>%
  ungroup()

model_count <- n_count %>%
  mutate(
    model_lnRR = map(data, ~ robu(.x$lnRR ~ 1, data = .x, studynum = .x$id, modelweights = c("CORR"), rho = 0.8, small = TRUE, var.eff.size = (.x$lnRR_se)^2)),
    model_lnVR = map(data, ~ robu(.x$lnVR ~ 1, data = .x, studynum = .x$id, modelweights = c("CORR"), rho = 0.8, small = TRUE, var.eff.size = (.x$lnVR_se)^2)),
    model_lnCVR = map(data, ~ robu(.x$lnCVR ~ 1, data = .x, studynum = .x$id, modelweights = c("CORR"), rho = 0.8, small = TRUE, var.eff.size = (.x$lnCVR_se)^2))
  )
```

#### Extracting and save parameter estimates
Here we apply an additional Function to collect the outcomes of the 'mini-meta-analysis' that has ondensed our non-independent traits.

```{r}
count_fun <- function(mod_sub) {
  return(c(mod_sub$reg_table$b.r, mod_sub$reg_table$CI.L, mod_sub$reg_table$CI.U, mod_sub$reg_table$SE))
} # estimate, lower ci, upper ci, SE
```

Extraction of values created during meta-analyses using robumeta

```{r}
robusub_RR <- model_count %>%
  transmute(parameter_group, estimatelnRR = map(model_lnRR, count_fun)) %>%
  mutate(r = map(estimatelnRR, ~ data.frame(t(.)))) %>%
  unnest(r) %>%
  select(-estimatelnRR) %>%
  purrr::set_names(c("parameter_group", "lnRR", "lnRR_lower", "lnRR_upper", "lnRR_se"))

robusub_CVR <- model_count %>%
  transmute(parameter_group, estimatelnCVR = map(model_lnCVR, count_fun)) %>%
  mutate(r = map(estimatelnCVR, ~ data.frame(t(.)))) %>%
  unnest(r) %>%
  select(-estimatelnCVR) %>%
  purrr::set_names(c("parameter_group", "lnCVR", "lnCVR_lower", "lnCVR_upper", "lnCVR_se"))

robusub_VR <- model_count %>%
  transmute(parameter_group, estimatelnVR = map(model_lnVR, count_fun)) %>%
  mutate(r = map(estimatelnVR, ~ data.frame(t(.)))) %>%
  unnest(r) %>%
  select(-estimatelnVR) %>%
  purrr::set_names(c("parameter_group", "lnVR", "lnVR_lower", "lnVR_upper", "lnVR_se"))

robu_all <- full_join(robusub_CVR, robusub_VR) %>% full_join(., robusub_RR)
```

#### Combining data 
Merge the two data sets (the new [robu_all] and the initial [uncorrelated sub-traits with count = 1]) 

```{r}
meta_all <- meta1 %>%
  filter(par_group_size == 1) %>%
  as_tibble()
# glimpse(meta_all)
# glimpse(robu_all)

# Step 1:  Columns are matched by name (in our case, 'parameter_group'), and any missing columns will be filled with NA
combinedmeta <- bind_rows(robu_all, meta_all)
# glimpse(combinedmeta)

# Steps 2&3: Add information about number of traits in a parameter group, procedure, and grouping term
metacombo <- combinedmeta
metacombo$counts <- meta1$par_group_size[match(metacombo$parameter_group, meta1$parameter_group)] 
metacombo$procedure2 <- meta1$procedure[match(metacombo$parameter_group, meta1$parameter_group)]
metacombo$GroupingTerm2 <- meta1$GroupingTerm[match(metacombo$parameter_group, meta1$parameter_group)]

```

Clean-up, reorder, and rename 

```{r}
metacombo <- metacombo[c("parameter_group", "counts","procedure2","GroupingTerm2", "lnCVR","lnCVR_lower","lnCVR_upper","lnCVR_se","lnVR","lnVR_lower","lnVR_upper","lnVR_se","lnRR","lnRR_lower","lnRR_upper","lnRR_se")] 

names(metacombo)[names(metacombo)=="procedure2"] <- "procedure" 
names(metacombo)[names(metacombo)=="GroupingTerm2"] <- "GroupingTerm" 

# Quick pre-check before doing plots
metacombo %>%
  group_by(GroupingTerm) %>%
  dplyr::summarize(MeanCVR = mean(lnCVR), MeanVR = mean(lnVR), MeanRR = mean(lnRR))
```

### Table 3: Full corrected dataset

We use this corrected (for correlated traits) "results" table, which contains each of the meta-analytic means for all effect sizes of interest, for further analyses.  We further use this table as part of the Shiny App, which is able to provide the percentage differences between males and females for mean, variance and coefficient of variance. 

This is the full result dataset
```{r}
kable(metacombo) %>%
  kable_styling() %>%
  scroll_box(width = "100%", height = "200px")

# trait_meta_results <- write.csv(metacombo, file = "export/trait_meta_results.csv")  #Felix 7/2/2020: I think this can be deleted for publication!
```

## 3. Second-order meta-analysis for functional groups
(Section H in Figure 3 in main article)

### Performing meta-analyses (3 for each of the 9 grouping terms: lnCVR, lnVR, lnRR) 

#### Preparation of data

Nesting, calculating the number of parameters within each grouping term, and running the meta-analyses

```{r}
metacombo_final <- metacombo %>%
  group_by(GroupingTerm) %>%
   nest()

# **calculate number of parameters per grouping term

metacombo_final <- metacombo_final %>% mutate(para_per_GroupingTerm = map_dbl(data, nrow))

# For all grouping terms
metacombo_final_all <- metacombo %>%
  nest(data = everything())


# **Final fixed effects meta-analyses within grouping terms, with SE of the estimate

overall1 <- metacombo_final %>%

  mutate(
    model_lnCVR = map(data, ~ metafor::rma.uni(
      yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower) / (2 * 1.96),
      control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
    )),
    model_lnVR = map(data, ~ metafor::rma.uni(
      yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower) / (2 * 1.96),
      control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
    )),
    model_lnRR = map(data, ~ metafor::rma.uni(
      yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower) / (2 * 1.96),
      control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
    ))
  )

# **Final fixed effects meta-analyses ACROSS grouping terms, with SE of the estimate

overall_all1 <- metacombo_final_all %>%

  mutate(
    model_lnCVR = map(data, ~ metafor::rma.uni(
      yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower) / (2 * 1.96),
      control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
    )),
    model_lnVR = map(data, ~ metafor::rma.uni(
      yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower) / (2 * 1.96),
      control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
    )),
    model_lnRR = map(data, ~ metafor::rma.uni(
      yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower) / (2 * 1.96),
      control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
    ))
  )
```

### Re-structuring the data for each grouping term
We here delete unused variables, and select the respective effect sizes. Please note - the referencing of the cells does NOT depend on previous ordering of the data. This would only be affected if the output structure from metafor::rma.uni changes. 

```{r}
Behaviour <- overall1 %>% 
  filter(., GroupingTerm == "Behaviour") %>% 
  mutate(
    lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se,
    lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se,
    lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se
  )  %>%
  select(., GroupingTerm, lnCVR:lnRR_se)

Immunology <- overall1 %>% 
  filter(., GroupingTerm == "Immunology") %>% 
  mutate(
    lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se,
    lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se,
    lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se
  )  %>%
  select(., GroupingTerm, lnCVR:lnRR_se)

Hematology <- overall1 %>% 
  filter(., GroupingTerm == "Hematology") %>% 
  mutate(
    lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se,
    lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se,
    lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se
  )  %>%
  select(., GroupingTerm, lnCVR:lnRR_se)

Hearing <- overall1 %>% 
  filter(., GroupingTerm == "Hearing") %>% 
  mutate(
    lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se,
    lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se,
    lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se
  )  %>%
  select(., GroupingTerm, lnCVR:lnRR_se)

Physiology <- overall1 %>% 
  filter(., GroupingTerm == "Physiology") %>% 
  mutate(
    lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se,
    lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se,
    lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se
  )  %>%
  select(., GroupingTerm, lnCVR:lnRR_se)

Metabolism <- overall1 %>% 
  filter(., GroupingTerm == "Metabolism") %>% 
  mutate(
    lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se,
    lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se,
    lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se
  )  %>%
  select(., GroupingTerm, lnCVR:lnRR_se)

Morphology <- overall1 %>% 
  filter(., GroupingTerm == "Morphology") %>%
  mutate(
    lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se,
    lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se,
    lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se
  )  %>%
  select(., GroupingTerm, lnCVR:lnRR_se)
  
Heart <- overall1 %>% 
  filter(., GroupingTerm == "Heart") %>% 
  mutate(
    lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se,
    lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se,
    lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se
  )  %>%
  select(., GroupingTerm, lnCVR:lnRR_se)

Eye <- overall1 %>% 
  filter(., GroupingTerm == "Eye") %>% 
  mutate(
    lnCVR = .[[4]][[1]]$b, lnCVR_lower = .[[4]][[1]]$ci.lb, lnCVR_upper = .[[4]][[1]]$ci.ub, lnCVR_se = .[[4]][[1]]$se,
    lnVR = .[[5]][[1]]$b, lnVR_lower = .[[5]][[1]]$ci.lb, lnVR_upper = .[[5]][[1]]$ci.ub, lnVR_se = .[[5]][[1]]$se,
    lnRR = .[[6]][[1]]$b, lnRR_lower = .[[6]][[1]]$ci.lb, lnRR_upper = .[[6]][[1]]$ci.ub, lnRR_se = .[[6]][[1]]$se
  )  %>%
    select(., GroupingTerm, lnCVR:lnRR_se)

All <- overall_all1 %>% 
  mutate(
    lnCVR = .[[2]][[1]]$b, lnCVR_lower = .[[2]][[1]]$ci.lb, lnCVR_upper = .[[2]][[1]]$ci.ub, lnCVR_se = .[[2]][[1]]$se, 
    lnVR = .[[3]][[1]]$b, lnVR_lower = .[[3]][[1]]$ci.lb, lnVR_upper = .[[3]][[1]]$ci.ub, lnVR_se = .[[3]][[1]]$se,
    lnRR = .[[4]][[1]]$b, lnRR_lower = .[[4]][[1]]$ci.lb, lnRR_upper = .[[4]][[1]]$ci.ub, lnRR_se = .[[4]][[1]]$se
  )  %>%
    select(., lnCVR:lnRR_se)

All <- All %>% mutate(GroupingTerm = "All")

overall2 <- bind_rows(Behaviour, Morphology, Metabolism, Physiology, Immunology, Hematology, Heart, Hearing, Eye, All) 
```

# Visualisation
## Figure 4 
#### Preparation for plots: Count data, based on First-order metamanalysis results
This includes all separate eligible traits.
Re-ordering of grouping terms 

```{r}

meta_clean$GroupingTerm <- factor(meta_clean$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye"))
meta_clean$GroupingTerm <- factor(meta_clean$GroupingTerm, rev(levels(meta_clean$GroupingTerm)))

# *Preparing data for all traits

meta.plot2.all <- meta_clean %>%
  select(lnCVR, lnVR, lnRR, GroupingTerm) %>%
  arrange(GroupingTerm)

meta.plot2.all.b <- gather(meta.plot2.all, trait, value, c(lnCVR, lnRR)) # lnVR has been removed here and in the steps below, as this is only included in the supplemental figure

meta.plot2.all.b$trait <- factor(meta.plot2.all.b$trait, levels = c("lnCVR", "lnRR")) 
meta.plot2.all.c <- meta.plot2.all.b %>%
  group_by_at(vars(trait, GroupingTerm)) %>%
  summarise(
    malebias = sum(value > 0), femalebias = sum(value <= 0), total = malebias + femalebias,
    malepercent = malebias * 100 / total, femalepercent = femalebias * 100 / total
  )

meta.plot2.all.c$label <- "All traits"

# Re-structure to create stacked bar plots

meta.plot2.all.d <- as.data.frame(meta.plot2.all.c)
meta.plot2.all.e <- gather(meta.plot2.all.d, key = sex, value = percent, malepercent:femalepercent, factor_key = TRUE)

# Create new sample size variable

meta.plot2.all.e$samplesize <- with(meta.plot2.all.e, ifelse(sex == "malepercent", malebias, femalebias))

# Add summary row ('All') and re-arrange rows into correct order for plotting (warnings about coercing 'id' into character vector are ok)

meta.plot2.all.f <- meta.plot2.all.e %>% group_by(trait, sex) %>% 
	summarise(GroupingTerm = "All", malebias = sum(malebias), femalebias = sum(femalebias), total = malebias + femalebias, 
	label = "All traits", samplesize = sum(samplesize)) %>%
	mutate(percent = ifelse(sex == "femalepercent", femalebias*100/(malebias+femalebias), malebias*100/(malebias+femalebias))) %>%
	bind_rows(meta.plot2.all.e, .) %>%
	mutate(rownumber = row_number()) %>%
	.[c(37, 1:9, 39, 10:18, 38, 19:27, 40, 28:36), ] 
  #line references in previous code line corresponding to: 
  #'lnCVR(male(All)), lnCVR(male('single grouping terms'), lnRR(male(All)), lnRR(male('single grouping terms')),
  #lnCVR(female(All)), lnCVR(female('single grouping terms'), lnRR(female(All)), lnRR(female('single grouping terms'))'

meta.plot2.all.f$GroupingTerm <- factor(meta.plot2.all.f$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) 
meta.plot2.all.f$GroupingTerm <- factor(meta.plot2.all.f$GroupingTerm, rev(levels(meta.plot2.all.f$GroupingTerm)))

malebias_Fig2_alltraits <-
  ggplot(meta.plot2.all.f) +
  aes(x = GroupingTerm, y = percent, fill = sex) +
  geom_col() +
  geom_hline(yintercept = 50, linetype = "dashed", color = "gray40") +
  geom_text(
    data = subset(meta.plot2.all.f, samplesize != 0), aes(label = samplesize), position = position_stack(vjust = .5),
    color = "white", size = 3.5
  ) +
  facet_grid(
    cols = vars(trait), rows = vars(label), labeller = label_wrap_gen(width = 18),
    scales = "free", space = "free"
  ) +
  scale_fill_brewer(palette = "Set2") +
  theme_bw(base_size = 18) +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_text(size = 12),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.position = "none",
    axis.title.x = element_blank(),
    axis.title.y = element_blank()
  ) +
  coord_flip()

# malebias_Fig2_alltraits     #(panel A in Figure 4 in ms)
```


###  Overall results of second order meta-analysis (Figure 4, Panel B)
#### Re-structure data for plotting 
Data are re-structured, and grouping terms are being re-ordered

```{r}
overall3 <- gather(overall2, parameter, value, c(lnCVR, lnRR), factor_key = TRUE) 

lnCVR.ci <- overall3 %>%
  filter(parameter == "lnCVR") %>%
  mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper)
lnVR.ci <- overall3 %>%
  filter(parameter == "lnVR") %>%
  mutate(ci.low = lnVR_lower, ci.high = lnVR_upper)
lnRR.ci <- overall3 %>%
  filter(parameter == "lnRR") %>%
  mutate(ci.low = lnRR_lower, ci.high = lnRR_upper)

overall4 <- bind_rows(lnCVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) 

# Re-order grouping terms

overall4$GroupingTerm <- factor(overall4$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All"))
overall4$GroupingTerm <- factor(overall4$GroupingTerm, rev(levels(overall4$GroupingTerm)))
overall4$label <- "All traits"

kable(cbind(overall4, overall4)) %>%
  kable_styling() %>%
  scroll_box(width = "100%", height = "200px")
```

```{r}
Metameta_Fig3_alltraits <- overall4 %>%

  ggplot(aes(y = GroupingTerm, x = value)) +
  geom_errorbarh(aes(
    xmin = ci.low,
    xmax = ci.high
  ),
  height = 0.1, show.legend = FALSE
  ) +
  geom_point(aes(shape = parameter),
    fill = "black",
    color = "black", size = 2.2,
    show.legend = FALSE
  ) +
  scale_x_continuous(
    limits = c(-0.24, 0.25),
    breaks = c(-0.2, -0.1, 0, 0.1, 0.2),
    name = "Effect size"
  ) +
  geom_vline(
    xintercept = 0,
    color = "black",
    linetype = "dashed"
  ) +
  facet_grid(
    cols = vars(parameter), rows = vars(label),
    labeller = label_wrap_gen(width = 23),
    scales = "free",
    space = "free"
  ) +
  theme_bw() +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_text(size = 12),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.title = element_blank(),
    axis.title.x = element_text(hjust = 0.5, size = 14),
    axis.title.y = element_blank()
  )

# Metameta_Fig3_alltraits
```

### Fig 4 # SZ STILL TO DO
Join the different parts and  #TO DO!! add M / F symbols in Metameta_Fig3_alltraits 
```{r}
#Test
#male <- readPNG(system.file("img", "male"))
#test <- Metameta_Fig3_alltraits 

#library(png)
```

### Figure 4
Panel A shows the numbers of traits across functional groups that are either male-biased (blue-green) or female-biased (orange-red), as calculated in Step D (figure 3). Panel B shows effect sizes and 95% CI from separate meta-analysis for each functional group (step H in Figure 3). Both panels represent results evaluated across all traits (Phase 3, Figure 3). Traits that are male biased is shown in blue, whereas female bias data is represented in orange.


```{r}
Fig4 <- ggarrange(malebias_Fig2_alltraits, Metameta_Fig3_alltraits,  nrow = 2, align = "v", heights = c(1, 1), labels = c("A", "B"))
Fig4
```


## Figure 5
#### Preparing data for traits with CI not overlapping 0
To further investigate sex bias in this dataset, and in particular if the extent of sex bias differs between traits, we investigate the magnitude of male- and female bias in significantly different traits on (both for means and variability)

To do this, we select only traits that have CIs that do not overlap with zero.
The code below creates Figure 5A.
```{r}

meta.plot2.sig <- meta_clean %>%
  mutate(
    lnCVRsig = ifelse(lnCVR_lower * lnCVR_upper > 0, 1, 0), lnVRsig = ifelse(lnVR_lower * lnVR_upper > 0, 1, 0),
    lnRRsig = ifelse(lnRR_lower * lnRR_upper > 0, 1, 0)
  )

meta.plot2.sig.b <- meta.plot2.sig[, c("lnCVR", "lnRR", "lnCVRsig", "lnVRsig", "lnRRsig", "GroupingTerm")] 

meta.plot2.sig.c <- gather(meta.plot2.sig.b, trait, value, lnCVR:lnRR)
meta.plot2.sig.c$sig <- "placeholder"

meta.plot2.sig.c$trait <- factor(meta.plot2.sig.c$trait, levels = c("lnCVR", "lnRR")) 

meta.plot2.sig.c$sig <- ifelse(meta.plot2.sig.c$trait == "lnCVR", meta.plot2.sig.c$lnCVRsig,
  ifelse(meta.plot2.sig.c$trait == "lnVR", meta.plot2.sig.c$lnVRsig, meta.plot2.sig.c$lnRRsig)
)

# Choosing sex biased ln-ratios significantly larger than 0
meta.plot2.sig.malebias <- meta.plot2.sig.c %>%
  group_by_at(vars(trait, GroupingTerm)) %>%
  filter(sig == 1) %>%
  summarise(male_sig = sum(value > 0), female_sig = sum(value < 0), total = male_sig + female_sig)

meta.plot2.sig.malebias <- ungroup(meta.plot2.sig.malebias) %>%
  add_row(trait = "lnCVR", GroupingTerm = "Hearing", male_sig = 0, female_sig = 0, .before = 4) %>% # add "Hearing" for lnCVR (not filtered as only zeros)
  mutate(malepercent = male_sig * 100 / total, femalepercent = female_sig * 100 / total)

meta.plot2.sig.malebias$label <- "CI not overlapping zero"

# Re-structure to create stacked bar plots

meta.plot2.sig.bothsexes <- as.data.frame(meta.plot2.sig.malebias)
meta.plot2.sig.bothsexes.b <- gather(meta.plot2.sig.bothsexes, key = sex, value = percent, malepercent:femalepercent, factor_key = TRUE)

# create new sample size variable

meta.plot2.sig.bothsexes.b$samplesize <- with(meta.plot2.sig.bothsexes.b, ifelse(sex == "malepercent", male_sig, female_sig))

# Add summary row ('All') and re-arrange rows into correct order for plotting 

meta.plot2.sig.bothsexes.c <- meta.plot2.sig.bothsexes.b %>% group_by(trait, sex) %>% 
  summarise(GroupingTerm = "All", male_sig = sum(male_sig), female_sig = sum(female_sig), total = male_sig + female_sig, 
            label = "CI not overlapping zero", samplesize = sum(samplesize)) %>%
  mutate(percent = ifelse(sex == "femalepercent", female_sig*100/(male_sig+female_sig), male_sig*100/(male_sig+female_sig))) %>%
  bind_rows(meta.plot2.sig.bothsexes.b, .) %>%
  mutate(rownumber = row_number()) %>%
  .[c(37, 1:9, 39, 10:18, 38, 19:27, 40, 28:36), ] 
  #line references in previous code line corresponding to: 
  #'lnCVR(male(All)), lnCVR(male('single grouping terms'), lnRR(male(All)), lnRR(male('single grouping terms')),
  #lnCVR(female(All)), lnCVR(female('single grouping terms'), lnRR(female(All)), lnRR(female('single grouping terms'))'

meta.plot2.sig.bothsexes.c$GroupingTerm <- factor(meta.plot2.sig.bothsexes.c$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) 
meta.plot2.sig.bothsexes.c$GroupingTerm <- factor(meta.plot2.sig.bothsexes.c$GroupingTerm, rev(levels(meta.plot2.sig.bothsexes.c$GroupingTerm)))

# Plot Fig2 all significant results (CI not overlapping zero)
# Several grouping terms are added post-hoc (with no data to display): no significant lnCVR for 'Hearing' in either sex; no sig. male-biased lnCVR for 'Immunology' and 'Eye, and no significant female-biased lnRR for 'Eye'.

malebias_Fig2_sigtraits <-
  ggplot(meta.plot2.sig.bothsexes.c) +
  aes(x = GroupingTerm, y = percent, fill = sex) +
  geom_col() +
  geom_hline(yintercept = 50, linetype = "dashed", color = "gray40") +
  geom_text(
    data = subset(meta.plot2.sig.bothsexes.c, samplesize != 0), aes(label = samplesize), position = position_stack(vjust = .5),
    color = "white", size = 3.5
  ) +
  facet_grid(
    cols = vars(trait), rows = vars(label), labeller = label_wrap_gen(width = 18),
    scales = "free", space = "free"
  ) +
  scale_fill_brewer(palette = "Set2") +
  theme_bw(base_size = 18) +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_text(size = 12),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.position = "none",
    axis.title.x = element_blank(),
    axis.title.y = element_blank()
  ) +
  coord_flip()
```

### Preparation for Plots on significant sex-bias (Second-order meta analysis results)

#### Figure 5 B - traits with CI not overlapping 0 
Prepare data 
create column with 1= different from zero, 0= zero included in CI
#### Male-biased (significant) traits

```{r}
meta.male.plot3.sig <- metacombo %>%
  mutate(
    sigCVR = ifelse(lnCVR_lower > 0, 1, 0),
    sigVR = ifelse(lnVR_lower > 0, 1, 0),
    sigRR = ifelse(lnRR_lower > 0, 1, 0)
  )

# Significant subset for lnCVR
metacombo_male.plot3.CVR <- meta.male.plot3.sig %>%
  filter(sigCVR == 1) %>%
  group_by(GroupingTerm) %>%
  nest()

metacombo_male.plot3.CVR.all <- meta.male.plot3.sig %>%
  filter(sigCVR == 1) %>%
  nest(data = everything())    #Felix added 'data = everything()' on 4/2/2020

# Significant subset for lnVR
metacombo_male.plot3.VR <- meta.male.plot3.sig %>%
  filter(sigVR == 1) %>%
  group_by(GroupingTerm) %>%
  nest()

metacombo_male.plot3.VR.all <- meta.male.plot3.sig %>%
  filter(sigVR == 1) %>%
  nest(data = everything())    

# Significant subset for lnRR
metacombo_male.plot3.RR <- meta.male.plot3.sig %>%
  filter(sigRR == 1) %>%
  group_by(GroupingTerm) %>%
  nest()

metacombo_male.plot3.RR.all <- meta.male.plot3.sig %>%
  filter(sigRR == 1) %>%
  nest(data = everything())   

# **Final fixed effects meta-analyses within grouping terms, with SE of the estimate

plot3.male.meta.CVR <- metacombo_male.plot3.CVR %>%
  mutate(model_lnCVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.male.meta.VR <- metacombo_male.plot3.VR %>%
  mutate(model_lnVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.male.meta.RR <- metacombo_male.plot3.RR %>%
  mutate(model_lnRR = map(data, ~ metafor::rma.uni(
    yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

# Across all grouping terms #

plot3.male.meta.CVR.all <- metacombo_male.plot3.CVR.all %>%
  mutate(model_lnCVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.male.meta.CVR.all <- plot3.male.meta.CVR.all %>% mutate(GroupingTerm = "All")

plot3.male.meta.VR.all <- metacombo_male.plot3.VR.all %>%
  mutate(model_lnVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.male.meta.VR.all <- plot3.male.meta.VR.all %>% mutate(GroupingTerm = "All")

plot3.male.meta.RR.all <- metacombo_male.plot3.RR.all %>%
  mutate(model_lnRR = map(data, ~ metafor::rma.uni(
    yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.male.meta.RR.all <- plot3.male.meta.RR.all %>% mutate(GroupingTerm = "All")

# Combine with separate grouping term results

plot3.male.meta.CVR <- bind_rows(plot3.male.meta.CVR, plot3.male.meta.CVR.all)
plot3.male.meta.VR <- bind_rows(plot3.male.meta.VR, plot3.male.meta.VR.all)
plot3.male.meta.RR <- bind_rows(plot3.male.meta.RR, plot3.male.meta.RR.all)

# **Re-structure data for each grouping term; delete un-used variables

plot3.male.meta.CVR.b <- as.data.frame(plot3.male.meta.CVR %>% group_by(GroupingTerm) %>%
  mutate(
    lnCVR = map_dbl(model_lnCVR, pluck(2)), lnCVR_lower = map_dbl(model_lnCVR, pluck(6)),
    lnCVR_upper = map_dbl(model_lnCVR, pluck(7)), lnCVR_se = map_dbl(model_lnCVR, pluck(3))
  ))[, c(1, 4:7)]
add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.male.meta.CVR.b))

plot3.male.meta.CVR.b <- bind_rows(plot3.male.meta.CVR.b, add.row.hearing)
plot3.male.meta.CVR.b <- plot3.male.meta.CVR.b[order(plot3.male.meta.CVR.b$GroupingTerm), ]

plot3.male.meta.VR.b <- as.data.frame(plot3.male.meta.VR %>% group_by(GroupingTerm) %>%
  mutate(
    lnVR = map_dbl(model_lnVR, pluck(2)), lnVR_lower = map_dbl(model_lnVR, pluck(6)),
    lnVR_upper = map_dbl(model_lnVR, pluck(7)), lnVR_se = map_dbl(model_lnVR, pluck(3))
  ))[, c(1, 4:7)]
plot3.male.meta.VR.b <- plot3.male.meta.VR.b[order(plot3.male.meta.VR.b$GroupingTerm), ]

plot3.male.meta.RR.b <- as.data.frame(plot3.male.meta.RR %>% group_by(GroupingTerm) %>%
  mutate(
    lnRR = map_dbl(model_lnRR, pluck(2)), lnRR_lower = map_dbl(model_lnRR, pluck(6)),
    lnRR_upper = map_dbl(model_lnRR, pluck(7)), lnRR_se = map_dbl(model_lnRR, pluck(3))
  ))[, c(1, 4:7)]
plot3.male.meta.RR.b <- plot3.male.meta.RR.b[order(plot3.male.meta.RR.b$GroupingTerm), ]

overall.male.plot3 <- full_join(plot3.male.meta.CVR.b, plot3.male.meta.VR.b)
overall.male.plot3 <- full_join(overall.male.plot3, plot3.male.meta.RR.b)

overall.male.plot3$GroupingTerm <- factor(overall.male.plot3$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All"))
overall.male.plot3$GroupingTerm <- factor(overall.male.plot3$GroupingTerm, rev(levels(overall.male.plot3$GroupingTerm)))

overall.male.plot3$GroupingTerm <- factor(overall.male.plot3$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All"))
overall.male.plot3$GroupingTerm <- factor(overall.male.plot3$GroupingTerm, rev(levels(overall.male.plot3$GroupingTerm)))

# str(overall.male.plot3)
```


Restructure MALE data for plotting 

```{r}
overall3.male.sig <- gather(overall.male.plot3, parameter, value, c(lnCVR, lnRR), factor_key = TRUE) 

lnCVR.ci <- overall3.male.sig %>%
  filter(parameter == "lnCVR") %>%
  mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper)
# lnVR.ci <- overall3.male.sig  %>% filter(parameter == "lnVR") %>% mutate(ci.low = lnVR_lower, ci.high = lnVR_upper)
lnRR.ci <- overall3.male.sig %>%
  filter(parameter == "lnRR") %>%
  mutate(ci.low = lnRR_lower, ci.high = lnRR_upper)

overall4.male.sig <- bind_rows(lnCVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) 

overall4.male.sig$label <- "CI not overlapping zero"
```

Plot Fig 5B all significant results (CI not overlapping zero) for males. This is the right panel in Figure 5B.

```{r}

Metameta_Fig3_male.sig <- overall4.male.sig %>%
  ggplot(aes(y = GroupingTerm, x = value)) +
  geom_errorbarh(aes(
    xmin = ci.low,
    xmax = ci.high
  ),
  height = 0.1, show.legend = FALSE
  ) +
  geom_point(aes(shape = parameter),
    fill = "mediumaquamarine", color = "mediumaquamarine", size = 2.2,
    show.legend = FALSE
  ) +
  scale_x_continuous(
    limits = c(0, 0.4),
    breaks = c(0, 0.3),
    name = "Effect size"
  ) +
  geom_vline(
    xintercept = 0,
    color = "black",
    linetype = "dashed"
  ) +
  facet_grid(
    cols = vars(parameter), rows = vars(label),
    labeller = label_wrap_gen(width = 23),
    scales = "free",
    space = "free"
  ) +
  theme_bw() +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_text(size = 12),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.title = element_blank(),
    axis.title.x = element_blank(),
    axis.title.y = element_blank()
  )

# Metameta_Fig3_male.sig
```

#### Female part, significant traits
Female Fig5B sig

Prepare data for traits with CI not overlapping 0
create column with 1= different from zero, 0= zero included in CI

```{r}

# Female-biased traits

meta.female.plot3.sig <- metacombo %>%
  mutate(
    sigCVR = ifelse(lnCVR_upper < 0, 1, 0),
    sigVR = ifelse(lnVR_upper < 0, 1, 0),
    sigRR = ifelse(lnRR_upper < 0, 1, 0)
  )

# Significant subset for lnCVR

metacombo_female.plot3.CVR <- meta.female.plot3.sig %>%
  filter(sigCVR == 1) %>%
  group_by(GroupingTerm) %>%
  nest()

metacombo_female.plot3.CVR.all <- meta.female.plot3.sig %>%
  filter(sigCVR == 1) %>%
  nest(data = everything())   

# Significant subset for lnVR

metacombo_female.plot3.VR <- meta.female.plot3.sig %>%
  filter(sigVR == 1) %>%
  group_by(GroupingTerm) %>%
  nest()

metacombo_female.plot3.VR.all <- meta.female.plot3.sig %>%
  filter(sigVR == 1) %>%
  nest(data = everything())   

# Significant subset for lnRR

metacombo_female.plot3.RR <- meta.female.plot3.sig %>%
  filter(sigRR == 1) %>%
  group_by(GroupingTerm) %>%
  nest()

#Felix added 7/2/2020: metacombo_female.plot3.RR[4,2][[1]] [[1]]$lnRR_upper; #only two data points: -0.12377263 -0.01553462; should probably be excluded?!

metacombo_female.plot3.RR.all <- meta.female.plot3.sig %>%
  filter(sigRR == 1) %>%
  nest(data = everything())   

# **Final fixed effects meta-analyses within grouping terms, with SE of the estimate

plot3.female.meta.CVR <- metacombo_female.plot3.CVR %>%
  mutate(model_lnCVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.female.meta.VR <- metacombo_female.plot3.VR %>%
  mutate(model_lnVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.female.meta.RR <- metacombo_female.plot3.RR %>%
  mutate(model_lnRR = map(data, ~ metafor::rma.uni(
    yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

# Across all grouping terms #

plot3.female.meta.CVR.all <- metacombo_female.plot3.CVR.all %>%
  mutate(model_lnCVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.female.meta.CVR.all <- plot3.female.meta.CVR.all %>% mutate(GroupingTerm = "All")

plot3.female.meta.VR.all <- metacombo_female.plot3.VR.all %>%
  mutate(model_lnVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.female.meta.VR.all <- plot3.female.meta.VR.all %>% mutate(GroupingTerm = "All")

plot3.female.meta.RR.all <- metacombo_female.plot3.RR.all %>%
  mutate(model_lnRR = map(data, ~ metafor::rma.uni(
    yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.female.meta.RR.all <- plot3.female.meta.RR.all %>% mutate(GroupingTerm = "All")

# Combine with separate grouping term results

plot3.female.meta.CVR <- bind_rows(plot3.female.meta.CVR, plot3.female.meta.CVR.all)
plot3.female.meta.VR <- bind_rows(plot3.female.meta.VR, plot3.female.meta.VR.all)
plot3.female.meta.RR <- bind_rows(plot3.female.meta.RR, plot3.female.meta.RR.all)

# **Re-structure data for each grouping term; delete un-used variables

plot3.female.meta.CVR.b <- as.data.frame(plot3.female.meta.CVR %>% group_by(GroupingTerm) %>%
  mutate(
    lnCVR = map_dbl(model_lnCVR, pluck(2)), lnCVR_lower = map_dbl(model_lnCVR, pluck(6)),
    lnCVR_upper = map_dbl(model_lnCVR, pluck(7)), lnCVR_se = map_dbl(model_lnCVR, pluck(3))
  ))[, c(1, 4:7)]

add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.female.meta.CVR.b))

plot3.female.meta.CVR.b <- bind_rows(plot3.female.meta.CVR.b, add.row.hearing)
plot3.female.meta.CVR.b <- plot3.female.meta.CVR.b[order(plot3.female.meta.CVR.b$GroupingTerm), ]

plot3.female.meta.VR.b <- as.data.frame(plot3.female.meta.VR %>% group_by(GroupingTerm) %>%
  mutate(
    lnVR = map_dbl(model_lnVR, pluck(2)), lnVR_lower = map_dbl(model_lnVR, pluck(6)),
    lnVR_upper = map_dbl(model_lnVR, pluck(7)), lnVR_se = map_dbl(model_lnVR, pluck(3))
  ))[, c(1, 4:7)]

plot3.female.meta.VR.b <- plot3.female.meta.VR.b[order(plot3.female.meta.VR.b$GroupingTerm), ]

plot3.female.meta.RR.b <- as.data.frame(plot3.female.meta.RR %>% group_by(GroupingTerm) %>%
  mutate(
    lnRR = map_dbl(model_lnRR, pluck(2)), lnRR_lower = map_dbl(model_lnRR, pluck(6)),
    lnRR_upper = map_dbl(model_lnRR, pluck(7)), lnRR_se = map_dbl(model_lnRR, pluck(3))
  ))[, c(1, 4:7)]

plot3.female.meta.RR.b <- plot3.female.meta.RR.b[order(plot3.female.meta.RR.b$GroupingTerm), ]

overall.female.plot3 <- full_join(plot3.female.meta.CVR.b, plot3.female.meta.VR.b)
overall.female.plot3 <- full_join(overall.female.plot3, plot3.female.meta.RR.b)

overall.female.plot3$GroupingTerm <- factor(overall.female.plot3$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All"))
overall.female.plot3$GroupingTerm <- factor(overall.female.plot3$GroupingTerm, rev(levels(overall.female.plot3$GroupingTerm)))

```

Re-structure data for plotting

```{r}
overall3.female.sig <- gather(overall.female.plot3, parameter, value, c(lnCVR, lnRR), factor_key = TRUE) 

lnCVR.ci <- overall3.female.sig %>%
  filter(parameter == "lnCVR") %>%
  mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper)
# lnVR.ci <- overall3.female.sig  %>% filter(parameter == "lnVR") %>% mutate(ci.low = lnVR_lower, ci.high = lnVR_upper)
lnRR.ci <- overall3.female.sig %>%
  filter(parameter == "lnRR") %>%
  mutate(ci.low = lnRR_lower, ci.high = lnRR_upper)

overall4.female.sig <- bind_rows(lnCVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) # lnVR.ci,

overall4.female.sig$label <- "CI not overlapping zero"

```

Plotting Fig5B all significant results (CI not overlapping zero, female )

```{r}

Metameta_Fig3_female.sig  <- overall4.female.sig %>%
  ggplot(aes(y = GroupingTerm, x = value)) +
  geom_errorbarh(aes(
    xmin = ci.low,
    xmax = ci.high
  ),
  height = 0.1, show.legend = FALSE
  ) +
  geom_point(aes(shape = parameter),
    fill = "salmon1", color = "salmon1", size = 2.2,
    show.legend = FALSE
  ) +
  scale_x_continuous(
    limits = c(-0.4, 0),
    breaks = c(-0.3, 0),
    name = "Effect size"
  ) +
  geom_vline(
    xintercept = 0,
    color = "black",
    linetype = "dashed"
  ) +
  facet_grid(
    cols = vars(parameter), # rows = vars(label),
    # labeller = label_wrap_gen(width = 23),
    scales = "free",
    space = "free"
  ) +
  theme_bw() +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_text(size = 12),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.title = element_blank(),
    axis.title.x = element_blank(),
    axis.title.y = element_blank()
  )

# Metameta_Fig3_female.sig #(Figure 5B left panel)
```
## JOIN!!! CODE MISSING??
malebias_Fig2_sigtraits
Metameta_Fig3_female.sig #(Figure 5B left panel)
Metameta_Fig3_male.sig
```{r}
Fig5B <- ggarrange(Metameta_Fig3_female.sig, Metameta_Fig3_male.sig,
  ncol = 2, nrow = 1, widths = c(1, 1.20), heights = c(1, 1)
)

Fig5 <- ggarrange(malebias_Fig2_sigtraits, Fig5B,
  ncol = 1, nrow = 2, widths = c(1, 1.10), heights = c(1.10, 1),  labels = c("A", "B")
)
Fig5
```



# Supplemental Plots
## Figure S1 
### Including lnVR
### Count data, including lnVR (Fig S1 panel A)

```{r}
# *Prepare data for all traits

meta.plot2.all <- meta_clean %>%
  select(lnCVR, lnVR, lnRR, GroupingTerm) %>%
  arrange(GroupingTerm)

meta.plot2.all.bS1 <- gather(meta.plot2.all, trait, value, c(lnCVR, lnVR, lnRR))

meta.plot2.all.bS1$trait <- factor(meta.plot2.all.bS1$trait, levels = c("lnCVR", "lnVR", "lnRR"))

meta.plot2.all.cS1 <- meta.plot2.all.bS1 %>%
  group_by_at(vars(trait, GroupingTerm)) %>%
  summarise(
    malebias = sum(value > 0), femalebias = sum(value <= 0), total = malebias + femalebias,
    malepercent = malebias * 100 / total, femalepercent = femalebias * 100 / total
  )

meta.plot2.all.cS1$label <- "All traits"

# Re-structure to create stacked bar plots

meta.plot2.all.dS1 <- as.data.frame(meta.plot2.all.cS1)
meta.plot2.all.eS1 <- gather(meta.plot2.all.dS1, key = sex, value = percent, malepercent:femalepercent, factor_key = TRUE)

# Create new sample size variable

meta.plot2.all.eS1$samplesize <- with(meta.plot2.all.eS1, ifelse(sex == "malepercent", malebias, femalebias))

# Add summary row ('All') and re-arrange rows into correct order for plotting (warnings about coercing 'id' into character vector are ok)

meta.plot2.all.fS1 <- meta.plot2.all.eS1 %>% group_by(trait, sex) %>% 
  summarise(GroupingTerm = "All", malebias = sum(malebias), femalebias = sum(femalebias), total = malebias + femalebias, 
            label = "All traits", samplesize = sum(samplesize)) %>%
  mutate(percent = ifelse(sex == "femalepercent", femalebias*100/(malebias+femalebias), malebias*100/(malebias+femalebias))) %>%
  bind_rows(meta.plot2.all.eS1, .) %>%
  mutate(rownumber = row_number()) %>%
  .[c(55, 1:9, 57, 10:18, 59, 19:27, 56, 28:36, 58, 37:45, 60, 46:54), ] 

meta.plot2.all.fS1$GroupingTerm <- factor(meta.plot2.all.fS1$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) 
meta.plot2.all.fS1$GroupingTerm <- factor(meta.plot2.all.fS1$GroupingTerm, rev(levels(meta.plot2.all.fS1$GroupingTerm)))

malebias_FigS1_alltraits <-
  ggplot(meta.plot2.all.fS1) +
  aes(x = GroupingTerm, y = percent, fill = sex) +
  geom_col() +
  geom_hline(yintercept = 50, linetype = "dashed", color = "gray40") +
  geom_text(
    data = subset(meta.plot2.all.fS1, samplesize != 0), aes(label = samplesize), position = position_stack(vjust = .5),
    color = "white", size = 3.5
  ) +
  facet_grid(
    cols = vars(trait), rows = vars(label), labeller = label_wrap_gen(width = 18),
    scales = "free", space = "free"
  ) +
  scale_fill_brewer(palette = "Set2") +
  theme_bw(base_size = 18) +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_text(size = 12),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.position = "none",
    axis.title.x = element_blank(),
    axis.title.y = element_blank()
  ) +
  coord_flip()

# malebias_FigS1_alltraits     #(panel A in Figure S1)
```

###  Overall results of second order meta analysis, INCLUDING VR
#### Re-structure data for plotting 
Restructure MALE data for plotting 

```{r}
overall3.male.sigS <- gather(overall.male.plot3, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE)

lnCVR.ci <- overall3.male.sigS %>%
  filter(parameter == "lnCVR") %>%
  mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper)
lnVR.ci <- overall3.male.sigS %>%
  filter(parameter == "lnVR") %>%
  mutate(ci.low = lnVR_lower, ci.high = lnVR_upper)
lnRR.ci <- overall3.male.sigS %>%
  filter(parameter == "lnRR") %>%
  mutate(ci.low = lnRR_lower, ci.high = lnRR_upper)

overall4.male.sigS <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high)

overall4.male.sigS$label <- "CI not overlapping zero"

# Data are re-structured, and grouping terms are being re-ordered

overall3S <- gather(overall2, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE)

lnCVR.ci <- overall3S %>%
  filter(parameter == "lnCVR") %>%
  mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper)
lnVR.ci <- overall3S %>%
  filter(parameter == "lnVR") %>%
  mutate(ci.low = lnVR_lower, ci.high = lnVR_upper)
lnRR.ci <- overall3S %>%
  filter(parameter == "lnRR") %>%
  mutate(ci.low = lnRR_lower, ci.high = lnRR_upper)

overall4S <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high)

# Re-order grouping terms

overall4S$GroupingTerm <- factor(overall4S$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All"))
overall4S$GroupingTerm <- factor(overall4S$GroupingTerm, rev(levels(overall4S$GroupingTerm)))
overall4S$label <- "All traits"
```

#### Preparation for plot, including lnVR
Preparation: Sub-Plot  for Figure S1: all traits (S1 B)

```{r}
Metameta_FigS1_alltraits <- overall4S %>%

  ggplot(aes(y = GroupingTerm, x = value)) +
  geom_errorbarh(aes(
    xmin = ci.low,
    xmax = ci.high
  ),
  height = 0.1, show.legend = FALSE
  ) +
  geom_point(aes(shape = parameter),
    fill = "black",
    color = "black", size = 2.2,
    show.legend = FALSE
  ) +
  scale_x_continuous(
    limits = c(-0.24, 0.25),
    breaks = c(-0.2, -0.1, 0, 0.1, 0.2),
    name = "Effect size"
  ) +
  geom_vline(
    xintercept = 0,
    color = "black",
    linetype = "dashed"
  ) +
  facet_grid(
    cols = vars(parameter), rows = vars(label),
    labeller = label_wrap_gen(width = 23),
    scales = "free",
    space = "free"
  ) +
  theme_bw() +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_text(size = 12),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.title = element_blank(),
    axis.title.x = element_text(hjust = 0.5, size = 14),
    axis.title.y = element_blank()
  )

# Metameta_FigS1_alltraits
```

### Heterogeneity
The analysis for heterogeneity follows the workflow of the above steps for the different meta-analyses. However, in the initial meta-analysis we extract sigma^2 and errors for mouse strains and centers (Institutions). 

```{r}
# Create dataframe to store results
results.allhetero.grouping <- as.data.frame(cbind(c(1:n), matrix(rep(0, n * 30), ncol = 30)))
names(results.allhetero.grouping) <- c(
  "id", "sigma2_strain.CVR", "sigma2_center.CVR", "sigma2_error.CVR", "s.nlevels.strain.CVR",
  "s.nlevels.center.CVR", "s.nlevels.error.CVR", "sigma2_strain.VR", "sigma2_center.VR", "sigma2_error.VR", "s.nlevels.strain.VR",
  "s.nlevels.center.VR", "s.nlevels.error.VR", "sigma2_strain.RR", "sigma2_center.RR", "sigma2_error.RR", "s.nlevels.strain.RR",
  "s.nlevels.center.RR", "s.nlevels.error.RR", "lnCVR", "lnCVR_lower", "lnCVR_upper", "lnCVR_se", "lnVR", "lnVR_lower", "lnVR_upper",
  "lnVR_se", "lnRR", "lnRR_lower", "lnRR_upper", "lnRR_se"
)

```

LOOP
Parameters to extract from metafor (sigma2's, s.nlevels)

```{r}

for (t in 1:n) {
  tryCatch(
    {
      data_par_age <- data_subset_parameterid_individual_by_age(data, t, age_min = 0, age_center = 100)

      population_stats <- calculate_population_stats(data_par_age)

      results <- create_meta_analysis_effect_sizes(population_stats)

      # lnCVR, logaritm of the ratio of male and female coefficients of variance

      cvr. <- metafor::rma.mv(yi = effect_size_CVR, V = sample_variance_CVR, random = list(
        ~ 1 | strain_name, ~ 1 | production_center,
        ~ 1 | err
      ), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), data = results)
      results.allhetero.grouping[t, 2] <- cvr.$sigma2[1]
      results.allhetero.grouping[t, 3] <- cvr.$sigma2[2]
      results.allhetero.grouping[t, 4] <- cvr.$sigma2[3]
      results.allhetero.grouping[t, 5] <- cvr.$s.nlevels[1]
      results.allhetero.grouping[t, 6] <- cvr.$s.nlevels[2]
      results.allhetero.grouping[t, 7] <- cvr.$s.nlevels[3]
      results.allhetero.grouping[t, 20] <- cvr.$b
      results.allhetero.grouping[t, 21] <- cvr.$ci.lb
      results.allhetero.grouping[t, 22] <- cvr.$ci.ub
      results.allhetero.grouping[t, 23] <- cvr.$se

      # lnVR, male to female variability ratio (logarithm of male and female standard deviations)

      vr. <- metafor::rma.mv(yi = effect_size_VR, V = sample_variance_VR, random = list(
        ~ 1 | strain_name, ~ 1 | production_center,
        ~ 1 | err
      ), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), data = results)
      results.allhetero.grouping[t, 8] <- vr.$sigma2[1]
      results.allhetero.grouping[t, 9] <- vr.$sigma2[2]
      results.allhetero.grouping[t, 10] <- vr.$sigma2[3]
      results.allhetero.grouping[t, 11] <- vr.$s.nlevels[1]
      results.allhetero.grouping[t, 12] <- vr.$s.nlevels[2]
      results.allhetero.grouping[t, 13] <- vr.$s.nlevels[3]
      results.allhetero.grouping[t, 24] <- vr.$b
      results.allhetero.grouping[t, 25] <- vr.$ci.lb
      results.allhetero.grouping[t, 26] <- vr.$ci.ub
      results.allhetero.grouping[t, 27] <- vr.$se

      # lnRR, response ratio (logarithm of male and female means)

      rr. <- metafor::rma.mv(yi = effect_size_RR, V = sample_variance_RR, random = list(
        ~ 1 | strain_name, ~ 1 | production_center,
        ~ 1 | err
      ), control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), data = results)
      results.allhetero.grouping[t, 14] <- rr.$sigma2[1]
      results.allhetero.grouping[t, 15] <- rr.$sigma2[2]
      results.allhetero.grouping[t, 16] <- rr.$sigma2[3]
      results.allhetero.grouping[t, 17] <- rr.$s.nlevels[1]
      results.allhetero.grouping[t, 18] <- rr.$s.nlevels[2]
      results.allhetero.grouping[t, 19] <- rr.$s.nlevels[3]
      results.allhetero.grouping[t, 28] <- rr.$b
      results.allhetero.grouping[t, 29] <- rr.$ci.lb
      results.allhetero.grouping[t, 30] <- rr.$ci.ub
      results.allhetero.grouping[t, 31] <- rr.$se
    },
    error = function(e) {
      cat("ERROR :", conditionMessage(e), "\n")
    }
  )
}
```

#### Exclude traits without variation between mouse strains; merge datasets  #Felix added 6/2/2020

```{r}
results.allhetero.grouping2 <- results.allhetero.grouping[results.allhetero.grouping$s.nlevels.strain.VR != 0, ]
# nrow(results.allhetero.grouping) #223  Felix 7/2/2020 added: not sure. Run again and it was 232?!
```

Merge data sets containing metafor results with procedure etc. names 

```{r}
# procedures <- read.csv(here("export", "procedures.csv"))

results.allhetero.grouping2$parameter_group <- data$parameter_group[match(results.allhetero.grouping2$id, data$id)]
results.allhetero.grouping2$procedure <- data$procedure_name[match(results.allhetero.grouping2$id, data$id)]

results.allhetero.grouping2$GroupingTerm <- procedures$GroupingTerm[match(results.allhetero.grouping2$procedure, procedures$procedure)]
results.allhetero.grouping2$parameter_name <- data$parameter_name[match(results.allhetero.grouping2$id, data$id)]
```

#### Correlated parameters

```{r}
metahetero1 <- results.allhetero.grouping2
# length(unique(metahetero1$procedure)) #19
# length(unique(metahetero1$GroupingTerm)) #9 
# length(unique(metahetero1$parameter_group)) #152
# length(unique(metahetero1$parameter_name)) #223

# Count of number of parameter names (correlated sub-traits) in each parameter group (par_group_size)

metahetero1b <-
  metahetero1 %>%
  group_by(parameter_group) %>%
  mutate(par_group_size = n_distinct(parameter_name))

metahetero1$par_group_size <- metahetero1b$par_group_size[match(metahetero1$parameter_group, metahetero1b$parameter_group)]

# Create subsets with > 1 count (par_group_size > 1)

metahetero1_sub <- subset(metahetero1, par_group_size > 1) # 92 observations
# str(metahetero1_sub)
# metahetero1_sub$sampleSize <- as.numeric(metahetero1_sub$sampleSize) #from previous analysis? don't think is used: : delete in final version

# Nest data

n_count. <- metahetero1_sub %>%
  group_by(parameter_group) %>%
  # mutate(raw_N = sum(sampleSize)) %>%  #Felix added: don't think is necessary: delete in final version
  nest()

# meta-analysis preparation

model_count. <- n_count. %>%
  mutate(
    model_lnRR = map(data, ~ robu(.x$lnRR ~ 1,
      data = .x, studynum = .x$id, modelweights = c("CORR"), rho = 0.8,
      small = TRUE, var.eff.size = (.x$lnRR_se)^2
    )),
    model_lnVR = map(data, ~ robu(.x$lnVR ~ 1,
      data = .x, studynum = .x$id, modelweights = c("CORR"), rho = 0.8,
      small = TRUE, var.eff.size = (.x$lnVR_se)^2
    )),
    model_lnCVR = map(data, ~ robu(.x$lnCVR ~ 1,
      data = .x, studynum = .x$id, modelweights = c("CORR"), rho = 0.8,
      small = TRUE, var.eff.size = (.x$lnCVR_se)^2
    ))
  )


# Robumeta object details:
# str(model_count.$model_lnCVR[[1]])

## *Perform meta-analyses on correlated sub-traits, using robumeta
 # Susi / FELIX: what's this below?
# Shinichi: We think we want to use these for further analyses:
# residual variance: as.numeric(robu_fit$mod_info$term1)     (same as 'mod_info$tau.sq')
# sample size: robu_fit$N

## **Extract and save parameter estimates

# Felix: doesn't work , error message:
#!!!!!!!!!!! ERROR!!!!!!!!!!!!!!!!!!!!
#Error: Column `parameter_group` can't be modified because it's a grouping variable

count_fun. <- function(mod_sub) {
  return(c(as.numeric(mod_sub$mod_info$term1), mod_sub$N))
}

robusub_RR. <- model_count. %>%
  transmute(estimatelnRR = map(model_lnRR, count_fun.)) %>%    #Felix 4/2/2020: deleted: 'parameter_group' (in brackets, after 'transmute')
  mutate(r = map(estimatelnRR, ~ data.frame(t(.)))) %>%
  unnest(r) %>%
  select(-estimatelnRR) %>%
  purrr::set_names(c("parameter_group", "var.RR", "N.RR"))

robusub_CVR. <- model_count. %>%
  transmute(estimatelnCVR = map(model_lnCVR, count_fun.)) %>%
  mutate(r = map(estimatelnCVR, ~ data.frame(t(.)))) %>%
  unnest(r) %>%
  select(-estimatelnCVR) %>%
  purrr::set_names(c("parameter_group", "var.CVR", "N.CVR"))

robusub_VR. <- model_count. %>%
  transmute(estimatelnVR = map(model_lnVR, count_fun.)) %>%
  mutate(r = map(estimatelnVR, ~ data.frame(t(.)))) %>%
  unnest(r) %>%
  select(-estimatelnVR) %>%
  purrr::set_names(c("parameter_group", "var.VR", "N.VR"))

robu_all. <- full_join(robusub_CVR., robusub_VR.) %>% full_join(., robusub_RR.)
```

Merge the two data sets (the new [robu_all.] and the initial [uncorrelated sub-traits with count = 1])

In this step, we 	
1) merge the N from robumeta and the  N from metafor (s.nlevels.error) together into the same columns (N.RR, N.VR, N.CVR)
2) calculate the total variance for metafor models as the sum of random effect variances and the residual error, then add in the same columns together with the residual variances from robumeta

```{r}
metahetero_all <- metahetero1 %>%
  filter(par_group_size == 1) %>%
  as_tibble()
metahetero_all$N.RR <- metahetero_all$s.nlevels.error.RR
metahetero_all$N.CVR <- metahetero_all$s.nlevels.error.CVR
metahetero_all$N.VR <- metahetero_all$s.nlevels.error.VR
metahetero_all$var.RR <- log(sqrt(metahetero_all$sigma2_strain.RR + metahetero_all$sigma2_center.RR + metahetero_all$sigma2_error.RR))
metahetero_all$var.VR <- log(sqrt(metahetero_all$sigma2_strain.VR + metahetero_all$sigma2_center.VR + metahetero_all$sigma2_error.VR))
metahetero_all$var.CVR <- log(sqrt(metahetero_all$sigma2_strain.CVR + metahetero_all$sigma2_center.CVR + metahetero_all$sigma2_error.CVR))
# str(metahetero_all)
# str(robu_all.)

metahetero_all <- metahetero_all %>% mutate(
  var.RR = if_else(var.RR == -Inf, -7, var.RR),   #Felix commented 6/2/2020: can't remmeber, why -7, -6, -5 in this section!
  var.VR = if_else(var.VR == -Inf, -5, var.VR),
  var.CVR = if_else(var.CVR == -Inf, -6, var.CVR)
)

# **Combine data
## Step1
combinedmetahetero <- bind_rows(robu_all., metahetero_all)
# glimpse(combinedmetahetero)

# Steps 2&3

metacombohetero <- combinedmetahetero
metacombohetero$counts <- metahetero1$par_group_size[match(metacombohetero$parameter_group, metahetero1$parameter_group)]
metacombohetero$procedure2 <- metahetero1$procedure[match(metacombohetero$parameter_group, metahetero1$parameter_group)]
metacombohetero$GroupingTerm2 <- metahetero1$GroupingTerm[match(metacombohetero$parameter_group, metahetero1$parameter_group)]

# **Clean-up and rename

metacombohetero <- metacombohetero %>% select(parameter_group, var.CVR, N.CVR, var.VR, N.VR, var.RR, N.RR, counts, procedure = procedure2, GroupingTerm = GroupingTerm2)  #Felix changed 6/2/2020: was: c(1:7, 43:45, and 2 renaming lines)

```

#### Meta-analysis of heterogeneity

```{r}
## Perform meta-meta-analysis (3 for each of the 9 grouping terms: var.CVR, var.VR, var.RR)

metacombohetero_final <- metacombohetero %>%
  group_by(GroupingTerm) %>%
  nest()

# Final fixed effects meta-analyses within grouping terms, with SE of the estimate

heterog1 <- metacombohetero_final %>%

  mutate(
    model_heteroCVR = map(data, ~ metafor::rma.uni(
      yi = .x$var.CVR, sei = sqrt(1 / 2 * (.x$N.CVR - 1)),
      control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 10000, stepadj = 0.5), verbose = F
    )),
    model_heteroVR = map(data, ~ metafor::rma.uni(
      yi = .x$var.VR, sei = sqrt(1 / 2 * (.x$N.VR - 1)),
      control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 10000, stepadj = 0.5), verbose = F
    )),
    model_heteroRR = map(data, ~ metafor::rma.uni(
      yi = .x$var.RR, sei = sqrt(1 / 2 * (.x$N.RR - 1)),
      control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 10000, stepadj = 0.5), verbose = F
    ))
  )

# Across all grouping terms   

metacombohetero_all_final <- metacombohetero %>%
  nest(data = everything()) 

# Final fixed effects meta-analyses ACROSS grouping terms, with SE of the estimate

heterog1_all <- metacombohetero_all_final %>%
  
  mutate(
    model_heteroCVR = map(data, ~ metafor::rma.uni(
      yi = .x$var.CVR, sei = sqrt(1 / 2 * (.x$N.CVR - 1)),
      control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 10000, stepadj = 0.5), verbose = F
    )),
    model_heteroVR = map(data, ~ metafor::rma.uni(
      yi = .x$var.VR, sei = sqrt(1 / 2 * (.x$N.VR - 1)),
      control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 10000, stepadj = 0.5), verbose = F
    )),
    model_heteroRR = map(data, ~ metafor::rma.uni(
      yi = .x$var.RR, sei = sqrt(1 / 2 * (.x$N.RR - 1)),
      control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 10000, stepadj = 0.5), verbose = F
    ))
  )


# Re-structure data for each grouping term; extract heterogenenity/variance terms; delete un-used variables

Behaviour. <- heterog1 %>%
  filter(., GroupingTerm == "Behaviour") %>%
  select(., -data) %>%
  mutate(
    heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se,
    heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se,
    heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se
  ) %>%
  select(., GroupingTerm, heteroCVR:heteroRR_se)

Immunology. <- heterog1 %>%
  filter(., GroupingTerm == "Immunology") %>%
  select(., -data) %>%
  mutate(
    heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se,
    heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se,
    heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se
  ) %>%
  select(., GroupingTerm, heteroCVR:heteroRR_se)

Hematology. <- heterog1 %>%
  filter(., GroupingTerm == "Hematology") %>%
  select(., -data) %>%
  mutate(
    heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se,
    heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se,
    heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se
  ) %>%
  select(., GroupingTerm, heteroCVR:heteroRR_se)


Hearing. <- heterog1 %>%
  filter(., GroupingTerm == "Hearing") %>%
  select(., -data) %>%
  mutate(
    heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se,
    heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se,
    heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se
  ) %>%
  select(., GroupingTerm, heteroCVR:heteroRR_se)

Physiology. <- heterog1 %>%
  filter(., GroupingTerm == "Physiology") %>%
  select(., -data) %>%
  mutate(
    heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se,
    heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se,
    heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se
  ) %>%
  select(., GroupingTerm, heteroCVR:heteroRR_se)

Metabolism. <- heterog1 %>%
  filter(., GroupingTerm == "Metabolism") %>%
  select(., -data) %>%
  mutate(
    heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se,
    heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se,
    heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se
  ) %>%
  select(., GroupingTerm, heteroCVR:heteroRR_se)

Morphology. <- heterog1 %>%
  filter(., GroupingTerm == "Morphology") %>%
  select(., -data) %>%
  mutate(
    heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se,
    heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se,
    heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se
  ) %>%
  select(., GroupingTerm, heteroCVR:heteroRR_se)

Heart. <- heterog1 %>%
  filter(., GroupingTerm == "Heart") %>%
  select(., -data) %>%
  mutate(
    heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se,
    heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se,
    heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se
  ) %>%
  select(., GroupingTerm, heteroCVR:heteroRR_se)

Eye. <- heterog1 %>%
  filter(., GroupingTerm == "Eye") %>%
  select(., -data) %>%
  mutate(
    heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se,
    heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se,
    heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se
  ) %>%
  select(., GroupingTerm, heteroCVR:heteroRR_se)

#Reorder to be able to keep cell referencing 
heterog1_all <- heterog1_all %>% mutate(GroupingTerm = "All") %>% select(GroupingTerm, everything())

All. <- heterog1_all %>% 
  select(., -data) %>%
  mutate(
    heteroCVR = .[[2]][[1]]$b, heteroCVR_lower = .[[2]][[1]]$ci.lb, heteroCVR_upper = .[[2]][[1]]$ci.ub, heteroCVR_se = .[[2]][[1]]$se,
    heteroVR = .[[3]][[1]]$b, heteroVR_lower = .[[3]][[1]]$ci.lb, heteroVR_upper = .[[3]][[1]]$ci.ub, heteroVR_se = .[[3]][[1]]$se,
    heteroRR = .[[4]][[1]]$b, heteroRR_lower = .[[4]][[1]]$ci.lb, heteroRR_upper = .[[4]][[1]]$ci.ub, heteroRR_se = .[[4]][[1]]$se
  ) %>%
  select(., GroupingTerm, heteroCVR:heteroRR_se)

heterog2 <- bind_rows(Behaviour., Morphology., Metabolism., Physiology., Immunology., Hematology., Heart., Hearing., Eye., All.)
# str(heterog2)
```

#### Heterogeneity PLOT
Restructure data for plotting 

```{r}
heterog3 <- gather(heterog2, parameter, value, c(heteroCVR, heteroVR, heteroRR), factor_key = TRUE)

heteroCVR.ci <- heterog3 %>%
  filter(parameter == "heteroCVR") %>%
  mutate(ci.low = heteroCVR_lower, ci.high = heteroCVR_upper)
heteroVR.ci <- heterog3 %>%
  filter(parameter == "heteroVR") %>%
  mutate(ci.low = heteroVR_lower, ci.high = heteroVR_upper)
heteroRR.ci <- heterog3 %>%
  filter(parameter == "heteroRR") %>%
  mutate(ci.low = heteroRR_lower, ci.high = heteroRR_upper)

heterog4 <- bind_rows(heteroCVR.ci, heteroVR.ci, heteroRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high)

# **Re-order grouping terms

heterog4$GroupingTerm <- factor(heterog4$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All"))
heterog4$GroupingTerm <- factor(heterog4$GroupingTerm, rev(levels(heterog4$GroupingTerm)))
heterog4$label <- "All traits"
# write.csv(heterog4, "heterog4.csv")
```

#### Plot S1 C (Second-order meta analysis on heterogeneity)

```{r}
heterog5 <- heterog4
heterog5$mean <- as.numeric(exp(heterog5$value))
heterog5$ci.l <- as.numeric(exp(heterog5$ci.low))
heterog5$ci.h <- as.numeric(exp(heterog5$ci.high))

heterog6 <- heterog5

HeteroS1 <-
  heterog6 %>%
  ggplot(aes(y = GroupingTerm, x = mean)) +
  geom_errorbarh(aes(
    xmin = ci.l,
    xmax = ci.h
  ),
  height = 0.1, show.legend = FALSE
  ) +
  geom_point(aes(shape = parameter),
    fill = "black",
    color = "black", size = 2.2,
    show.legend = FALSE
  ) +
  scale_x_continuous(
    limits = c(-0.1, 1.4),
    # breaks = c(0, 0.1, 0.2),
    name = "sigma^2"
  ) +
  # geom_vline(xintercept=0,
  # color='black',
  # linetype='dashed')+
  facet_grid(
    cols = vars(parameter), rows = vars(label),
    labeller = label_wrap_gen(width = 23),
    scales = "free",
    space = "free"
  ) +
  theme_bw() +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_text(size = 12),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.title = element_blank(),
    axis.title.x = element_text(hjust = 0.5, size = 14),
    axis.title.y = element_blank()
  )

#HeteroS1

```


#### Combined Figure S1: overall Count data, Meta anlysis results, Heterogeneity)

```{r}
FigS1 <- ggarrange(malebias_FigS1_alltraits + xlab("percentage sex bias"), Metameta_FigS1_alltraits, HeteroS1, nrow = 3, align = "v", heights = c(1, 1, 1), labels = c("A", "B", "C"))
FigS1
# ggsave("FigS1_OverallResults.pdf", plot = Fig4, width = 6, height = 5)
```

## Figure S2

Plot FigS2 all significant results (CI not overlapping zero) for males
### FELIX:  "ALL" missing. Felix added 11/2/2020: done
```{r}
meta.plot2.sig.bS <- meta.plot2.sig[, c("lnCVR", "lnVR", "lnRR", "lnCVRsig", "lnVRsig", "lnRRsig", "GroupingTerm")]

meta.plot2.sig.cS <- gather(meta.plot2.sig.bS, trait, value, lnCVR:lnRR)
meta.plot2.sig.cS$sig <- "placeholder"

meta.plot2.sig.cS$trait <- factor(meta.plot2.sig.cS$trait, levels = c("lnCVR", "lnVR", "lnRR"))

meta.plot2.sig.cS$sig <- ifelse(meta.plot2.sig.cS$trait == "lnCVR", meta.plot2.sig.cS$lnCVRsig,
  ifelse(meta.plot2.sig.cS$trait == "lnVR", meta.plot2.sig.cS$lnVRsig, meta.plot2.sig.cS$lnRRsig)
)

# choosing sex biased ln-ratios significantly larger than 0
meta.plotS2.sig.malebias <- meta.plot2.sig.cS %>%
  group_by_at(vars(trait, GroupingTerm)) %>%
  filter(sig == 1) %>%
  summarise(male_sig = sum(value > 0), female_sig = sum(value < 0), total = male_sig + female_sig)

meta.plotS2.sig.malebias <- ungroup(meta.plotS2.sig.malebias) %>%
  add_row(trait = "lnCVR", GroupingTerm = "Hearing", male_sig = 0, female_sig = 0, .before = 4) %>% # add "Hearing" for lnCVR (not filtered as only zeros)
  mutate(malepercent = male_sig * 100 / total, femalepercent = female_sig * 100 / total)

meta.plotS2.sig.malebias$label <- "CI not overlapping zero"

# restructure to create stacked bar plots

meta.plotS2.sig.bothsexes <- as.data.frame(meta.plotS2.sig.malebias)
meta.plotS2.sig.bothsexes.b <- gather(meta.plotS2.sig.bothsexes, key = sex, value = percent, malepercent:femalepercent, factor_key = TRUE)

# create new sample size variable

meta.plotS2.sig.bothsexes.b$samplesize <- with(meta.plotS2.sig.bothsexes.b, ifelse(sex == "malepercent", male_sig, female_sig))

# Add summary row ('All') and re-arrange rows into correct order for plotting (warnings about coercing 'id' into character vector are ok)

meta.plotS2.sig.bothsexes.c <- meta.plotS2.sig.bothsexes.b %>% group_by(trait, sex) %>% 
  summarise(GroupingTerm = "All", male_sig = sum(male_sig), female_sig = sum(female_sig), total = male_sig + female_sig, 
            label = "CI not overlapping zero", samplesize = sum(samplesize)) %>%
  mutate(percent = ifelse(sex == "femalepercent", female_sig*100/(male_sig + female_sig), male_sig*100/(male_sig + female_sig))) %>%
  bind_rows(meta.plotS2.sig.bothsexes.b, .) %>%
  mutate(rownumber = row_number()) %>%
  .[c(55, 1:9, 57, 10:18, 59, 19:27, 56, 28:36, 58, 37:45, 60, 46:54), ] 

meta.plotS2.sig.bothsexes.c$GroupingTerm <- factor(meta.plotS2.sig.bothsexes.c$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) 
meta.plotS2.sig.bothsexes.c$GroupingTerm <- factor(meta.plotS2.sig.bothsexes.c$GroupingTerm, rev(levels(meta.plotS2.sig.bothsexes.c$GroupingTerm)))

# *Plot Fig2 all significant results (CI not overlapping zero):
#     no sig. lnCVR for 'Hearing' in either sex; no sig. male-biased lnCVR for 'Immunology' and 'Eye, and no sig. male-biased lnVR for 'Eye'

malebias_FigS2_sigtraits <-
  ggplot(meta.plotS2.sig.bothsexes.c) +
  aes(x = GroupingTerm, y = percent, fill = sex) +
  geom_col() +
  geom_hline(yintercept = 50, linetype = "dashed", color = "gray40") +
  geom_text(
    data = subset(meta.plotS2.sig.bothsexes.c, samplesize != 0), aes(label = samplesize), position = position_stack(vjust = .5),
    color = "white", size = 3.5
  ) +
  facet_grid(
    cols = vars(trait), rows = vars(label), labeller = label_wrap_gen(width = 18),
    scales = "free", space = "free"
  ) +
  scale_fill_brewer(palette = "Set2") +
  theme_bw(base_size = 18) +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_text(size = 12),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.position = "none",
    axis.title.x = element_blank(),
    axis.title.y = element_blank()
  ) +
  coord_flip()

# malebias_FigS2_sigtraits # this is Figure S2 A
```
### Prepare data for traits with effect size ratios > 10% larger in males, supplemental Figure S2
### FELIX:  "ALL" missing. Felix added 11/2/2020: done
This Figure extends Figure 4, as it includes results not only for lnCVR and lnRR but also lnCVR. In addition, we compare two different assessments of sex-bias, significance (CI not overlapping zero) and sex differences in male / female ratios > 10%

### Over 10% male bias, count data (first- order metanalysis) 
```{r}
meta.plot2.over10 <- meta_clean %>%
  select(lnCVR, lnVR, lnRR, GroupingTerm) %>%
  arrange(GroupingTerm) 

meta.plot2.over10.b <- gather(meta.plot2.over10, trait, value, c(lnCVR, lnVR, lnRR)) 

meta.plot2.over10.b$trait <- factor(meta.plot2.over10.b$trait, levels = c("lnCVR", "lnVR", "lnRR")) 

meta.plot2.over10.c <- meta.plot2.over10.b %>%
  group_by_at(vars(trait, GroupingTerm)) %>%
  summarise(
    malebias = sum(value > log(11 / 10)), femalebias = sum(value < log(9 / 10)), total = malebias + femalebias,
    malepercent = malebias * 100 / total, femalepercent = femalebias * 100 / total
  )

meta.plot2.over10.c$label <- "Sex difference in m/f ratios > 10%"

# restructure to create stacked bar plots

meta.plot2.over10.c <- as.data.frame(meta.plot2.over10.c)
meta.plot2.over10.d <- gather(meta.plot2.over10.c, key = sex, value = percent, malepercent:femalepercent, factor_key = TRUE)

# create new sample size variable

meta.plot2.over10.d$samplesize <- with(meta.plot2.over10.d, ifelse(sex == "malepercent", malebias, femalebias))

# Add summary row ('All') and re-arrange rows into correct order for plotting (warnings about coercing 'id' into character vector are ok)

meta.plot2.over10.e <- meta.plot2.over10.d %>% group_by(trait, sex) %>% 
  summarise(GroupingTerm = "All", malebias = sum(malebias), femalebias = sum(femalebias), total = malebias + femalebias, 
            label = "Sex difference in m/f ratios > 10%", samplesize = sum(samplesize)) %>%
  mutate(percent = ifelse(sex == "femalepercent", femalebias*100/(malebias + femalebias), malebias*100/(malebias + femalebias))) %>%
  bind_rows(meta.plot2.over10.d, .) %>%
  mutate(rownumber = row_number()) %>%
  .[c(55, 1:9, 57, 10:18, 59, 19:27, 56, 28:36, 58, 37:45, 60, 46:54), ] 

meta.plot2.over10.e$GroupingTerm <- factor(meta.plot2.over10.e$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All")) 
meta.plot2.over10.e$GroupingTerm <- factor(meta.plot2.over10.e$GroupingTerm, rev(levels(meta.plot2.over10.e$GroupingTerm)))


# *Plot Fig2 Sex difference in m/f ratio > 10%
malebias_Fig2_over10 <-
  ggplot(meta.plot2.over10.e) +
  aes(x = GroupingTerm, y = percent, fill = sex) +
  geom_col() +
  geom_hline(yintercept = 50, linetype = "dashed", color = "gray40") +
  geom_text(
    data = subset(meta.plot2.over10.e, samplesize != 0), aes(label = samplesize), position = position_stack(vjust = .5),
    color = "white", size = 3.5
  ) +
  facet_grid(
    cols = vars(trait), rows = vars(label), labeller = label_wrap_gen(width = 18),
    scales = "free", space = "free"
  ) +
  scale_fill_brewer(palette = "Set2") +
  theme_bw(base_size = 18) +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_blank(),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.position = "none",
    axis.title.x = element_blank(),
    axis.title.y = element_blank()
  ) +
  coord_flip()

# malebias_Fig2_over10  (supplemental Figure S2)
```

#### Fig S2, second-order meta-analysis, male traits
#### Female Figure, significant traits
Female FigS2 B sig

Prepare data for traits with CI not overlapping 0
create column with 1= different from zero, 0= zero included in CI


Restructure data for plotting

```{r}
overall3.female.sigS <- gather(overall.female.plot3, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE)

lnCVR.ci <- overall3.female.sigS %>%
  filter(parameter == "lnCVR") %>%
  mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper)
lnVR.ci <- overall3.female.sigS %>%
  filter(parameter == "lnVR") %>%
  mutate(ci.low = lnVR_lower, ci.high = lnVR_upper)
lnRR.ci <- overall3.female.sigS %>%
  filter(parameter == "lnRR") %>%
  mutate(ci.low = lnRR_lower, ci.high = lnRR_upper)

overall4.female.sigS <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high)

overall4.female.sigS$label <- "CI not overlapping zero"

##

Metameta_FigS2_female.sig <- overall4.female.sigS %>%
  ggplot(aes(y = GroupingTerm, x = value)) +
  geom_errorbarh(aes(
    xmin = ci.low,
    xmax = ci.high
  ),
  height = 0.1, show.legend = FALSE
  ) +
  geom_point(aes(shape = parameter),
    fill = "salmon1", color = "salmon1", size = 2.2,
    show.legend = FALSE
  ) +
  scale_x_continuous(
    limits = c(-0.4, 0),
    breaks = c(-0.3, 0),
    name = "Effect size"
  ) +
  geom_vline(
    xintercept = 0,
    color = "black",
    linetype = "dashed"
  ) +
  facet_grid(
    cols = vars(parameter), # rows = vars(label),
    # labeller = label_wrap_gen(width = 23),
    scales = "free",
    space = "free"
  ) +
  theme_bw() +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_text(size = 12),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.title = element_blank(),
    axis.title.x = element_blank(),
    axis.title.y = element_blank()
  )

# Metameta_FigS2_female.sig
```

Prepare data for traits with m/f difference > 10%

Create column with 1= larger, 0= difference not larger than 10% between male/female ratios
```{r}
meta.male.plot3.perc <- metacombo %>%
  mutate(
    percCVR = ifelse(lnCVR > log(11 / 10), 1, 0),
    percVR = ifelse(lnVR > log(11 / 10), 1, 0),
    percRR = ifelse(lnRR > log(11 / 10), 1, 0)
  )

# Significant subset for lnCVR
metacombo_male.plot3.CVR.perc <- meta.male.plot3.perc %>%
  filter(percCVR == 1) %>%
  group_by(GroupingTerm) %>%
  nest()

metacombo_male.plot3.CVR.perc.all <- meta.male.plot3.perc %>%
  filter(percCVR == 1) %>%
  nest(data = everything())

# Significant subset for lnVR
metacombo_male.plot3.VR.perc <- meta.male.plot3.perc %>%
  filter(percVR == 1) %>%
  group_by(GroupingTerm) %>%
  nest()

metacombo_male.plot3.VR.perc.all <- meta.male.plot3.perc %>%
  filter(percVR == 1) %>%
  nest(data = everything())

# Significant subset for lnRR
metacombo_male.plot3.RR.perc <- meta.male.plot3.perc %>%
  filter(percRR == 1) %>%
  group_by(GroupingTerm) %>%
  nest()

metacombo_male.plot3.RR.perc.all <- meta.male.plot3.perc %>%
  filter(percRR == 1) %>%
  nest(data = everything())


# **Final fixed effects meta-analyses within grouping terms and across grouping terms, with SE of the estimate

plot3.male.meta.CVR.perc <- metacombo_male.plot3.CVR.perc %>%
  mutate(model_lnCVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.male.meta.VR.perc <- metacombo_male.plot3.VR.perc %>%
  mutate(model_lnVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.male.meta.RR.perc <- metacombo_male.plot3.RR.perc %>%
  mutate(model_lnRR = map(data, ~ metafor::rma.uni(
    yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

# Across all grouping terms #

plot3.male.meta.CVR.perc.all <- metacombo_male.plot3.CVR.perc.all %>%
  mutate(model_lnCVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.male.meta.CVR.perc.all <- plot3.male.meta.CVR.perc.all %>% mutate(GroupingTerm = "All")

plot3.male.meta.VR.perc.all <- metacombo_male.plot3.VR.perc.all %>%
  mutate(model_lnVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.male.meta.VR.perc.all <- plot3.male.meta.VR.perc.all %>% mutate(GroupingTerm = "All")

plot3.male.meta.RR.perc.all <- metacombo_male.plot3.RR.perc.all %>%
  mutate(model_lnRR = map(data, ~ metafor::rma.uni(
    yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.male.meta.RR.perc.all <- plot3.male.meta.RR.perc.all %>% mutate(GroupingTerm = "All")

# Combine with separate grouping term results

plot3.male.meta.CVR.perc <- bind_rows(plot3.male.meta.CVR.perc, plot3.male.meta.CVR.perc.all)
plot3.male.meta.VR.perc <- bind_rows(plot3.male.meta.VR.perc, plot3.male.meta.VR.perc.all)
plot3.male.meta.RR.perc <- bind_rows(plot3.male.meta.RR.perc, plot3.male.meta.RR.perc.all)


# **Re-structure data for each grouping term; delete un-used variables: "Hearing missing for all 3 parameters"

plot3.male.meta.CVR.perc.b <- as.data.frame(plot3.male.meta.CVR.perc %>% group_by(GroupingTerm) %>%
  mutate(
    lnCVR = map_dbl(model_lnCVR, pluck(2)), lnCVR_lower = map_dbl(model_lnCVR, pluck(6)),
    lnCVR_upper = map_dbl(model_lnCVR, pluck(7)), lnCVR_se = map_dbl(model_lnCVR, pluck(3))
  ))[, c(1, 4:7)]
add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.male.meta.CVR.perc.b))
plot3.male.meta.CVR.perc.b <- rbind(plot3.male.meta.CVR.perc.b, add.row.hearing)
plot3.male.meta.CVR.perc.b <- plot3.male.meta.CVR.perc.b[order(plot3.male.meta.CVR.perc.b$GroupingTerm), ]

plot3.male.meta.VR.perc.b <- as.data.frame(plot3.male.meta.VR.perc %>% group_by(GroupingTerm) %>%
  mutate(
    lnVR = map_dbl(model_lnVR, pluck(2)), lnVR_lower = map_dbl(model_lnVR, pluck(6)),
    lnVR_upper = map_dbl(model_lnVR, pluck(7)), lnVR_se = map_dbl(model_lnVR, pluck(3))
  ))[, c(1, 4:7)]
add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.male.meta.VR.perc.b))
plot3.male.meta.VR.perc.b <- rbind(plot3.male.meta.VR.perc.b, add.row.hearing)
plot3.male.meta.VR.perc.b <- plot3.male.meta.VR.perc.b[order(plot3.male.meta.VR.perc.b$GroupingTerm), ]

plot3.male.meta.RR.perc.b <- as.data.frame(plot3.male.meta.RR.perc %>% group_by(GroupingTerm) %>%
  mutate(
    lnRR = map_dbl(model_lnRR, pluck(2)), lnRR_lower = map_dbl(model_lnRR, pluck(6)),
    lnRR_upper = map_dbl(model_lnRR, pluck(7)), lnRR_se = map_dbl(model_lnRR, pluck(3))
  ))[, c(1, 4:7)]
add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>%
  setNames(names(plot3.male.meta.RR.perc.b))
plot3.male.meta.RR.perc.b <- rbind(plot3.male.meta.RR.perc.b, add.row.hearing)

add.row.eye <- as.data.frame(t(c("Eye", NA, NA, NA, NA))) %>%
  setNames(names(plot3.male.meta.RR.perc.b))
plot3.male.meta.RR.perc.b <- rbind(plot3.male.meta.RR.perc.b, add.row.eye)

plot3.male.meta.RR.perc.b <- plot3.male.meta.RR.perc.b[order(plot3.male.meta.RR.perc.b$GroupingTerm), ]

plot3.male.meta.CVR.Vr.perc <- full_join(plot3.male.meta.CVR.perc.b, plot3.male.meta.VR.perc.b)
overall.male.plot3.perc <- full_join(plot3.male.meta.CVR.Vr.perc, plot3.male.meta.RR.perc.b)


overall.male.plot3.perc$GroupingTerm <- factor(overall.male.plot3.perc$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All"))
overall.male.plot3.perc$GroupingTerm <- factor(overall.male.plot3.perc$GroupingTerm, rev(levels(overall.male.plot3.perc$GroupingTerm)))

```

Restructure data for plotting : Male biased, 10% difference

```{r}
overall3.perc <- gather(overall.male.plot3.perc, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE) 

lnCVR.ci <- overall3.perc %>%
  filter(parameter == "lnCVR") %>%
  mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper)
lnVR.ci <- overall3.perc  %>% filter(parameter == "lnVR") %>% mutate(ci.low = lnVR_lower, ci.high = lnVR_upper)
lnRR.ci <- overall3.perc %>%
  filter(parameter == "lnRR") %>%
  mutate(ci.low = lnRR_lower, ci.high = lnRR_upper)

overall4.male.perc <- bind_rows(lnCVR.ci,lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) 

overall4.male.perc$label <- "Sex difference in m/f ratios > 10%"

overall4.male.perc$value <- as.numeric(overall4.male.perc$value)
overall4.male.perc$ci.low <- as.numeric(overall4.male.perc$ci.low)
overall4.male.perc$ci.high <- as.numeric(overall4.male.perc$ci.high)
```

Plot Fig S2 all >10% difference (male bias)
S2 B, bottom right 

```{r}

Metameta_Fig3_male.perc <- overall4.male.perc %>% # filter(., GroupingTerm != "Hearing") %>%
  ggplot(aes(y = GroupingTerm, x = value)) +
  geom_errorbarh(aes(
    xmin = ci.low,
    xmax = ci.high
  ),
  height = 0.1, show.legend = FALSE
  ) +
  geom_point(aes(
    shape = parameter,
    fill = parameter
  ),
  color = "mediumaquamarine", size = 2.2,
  show.legend = FALSE
  ) +
  scale_x_continuous(
    limits = c(-0.2, 0.62),
    breaks = c(0, 0.3),
    name = "Effect size"
  ) +
  geom_vline(
    xintercept = 0,
    color = "black",
    linetype = "dashed"
  ) +
  facet_grid(
    cols = vars(parameter), rows = vars(label),
    labeller = label_wrap_gen(width = 23),
    scales = "free",
    space = "free"
  ) +
  theme_bw() +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_blank(),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.title = element_blank(),
    axis.title.x = element_text(hjust = 0.5, size = 14),
    axis.title.y = element_blank()
  )

# Metameta_Fig3_male.perc (Figure S2 right panel)
```

#### Female Fig S2 >10%

```{r}

meta.plot3.perc <- metacombo %>%
  mutate(
    percCVR = ifelse(lnCVR < log(9 / 10), 1, 0),
    percVR = ifelse(lnVR < log(9 / 10), 1, 0),
    percRR = ifelse(lnRR < log(9 / 10), 1, 0)
  )

# Significant subset for lnCVR
metacombo_plot3.CVR.perc <- meta.plot3.perc %>%
  filter(percCVR == 1) %>%
  group_by(GroupingTerm) %>%
  nest()

metacombo_plot3.CVR.perc.all <- meta.plot3.perc %>%
  filter(percCVR == 1) %>%
  nest(data = everything())

# Significant subset for lnVR
metacombo_plot3.VR.perc <- meta.plot3.perc %>%
  filter(percVR == 1) %>%
  group_by(GroupingTerm) %>%
  nest()

metacombo_plot3.VR.perc.all <- meta.plot3.perc %>%
  filter(percVR == 1) %>%
  nest(data = everything())

# Significant subset for lnRR
metacombo_plot3.RR.perc <- meta.plot3.perc %>%
  filter(percRR == 1) %>%
  group_by(GroupingTerm) %>%
  nest()

metacombo_plot3.RR.perc.all <- meta.plot3.perc %>%
  filter(percRR == 1) %>%
  nest(data = everything())


# **Final fixed effects meta-analyses within grouping terms, with SE of the estimate

plot3.meta.CVR.perc <- metacombo_plot3.CVR.perc %>%
  mutate(model_lnCVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.meta.VR.perc <- metacombo_plot3.VR.perc %>%
  mutate(model_lnVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.meta.RR.perc <- metacombo_plot3.RR.perc %>%
  mutate(model_lnRR = map(data, ~ metafor::rma.uni(
    yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

# Across all grouping terms #

plot3.meta.CVR.perc.all <- metacombo_plot3.CVR.perc.all %>%
  mutate(model_lnCVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnCVR, sei = (.x$lnCVR_upper - .x$lnCVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.meta.CVR.perc.all <- plot3.meta.CVR.perc.all %>% mutate(GroupingTerm = "All")

plot3.meta.VR.perc.all <- metacombo_plot3.VR.perc.all %>%
  mutate(model_lnVR = map(data, ~ metafor::rma.uni(
    yi = .x$lnVR, sei = (.x$lnVR_upper - .x$lnVR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.meta.VR.perc.all <- plot3.meta.VR.perc.all %>% mutate(GroupingTerm = "All")

plot3.meta.RR.perc.all <- metacombo_plot3.RR.perc.all %>%
  mutate(model_lnRR = map(data, ~ metafor::rma.uni(
    yi = .x$lnRR, sei = (.x$lnRR_upper - .x$lnRR_lower) / (2 * 1.96),
    control = list(optimizer = "optim", optmethod = "Nelder-Mead", maxit = 1000), verbose = F
  )))

plot3.meta.RR.perc.all <- plot3.meta.RR.perc.all %>% mutate(GroupingTerm = "All")

# Combine with separate grouping term results

plot3.meta.CVR.perc <- bind_rows(plot3.meta.CVR.perc, plot3.meta.CVR.perc.all)
plot3.meta.VR.perc <- bind_rows(plot3.meta.VR.perc, plot3.meta.VR.perc.all)
plot3.meta.RR.perc <- bind_rows(plot3.meta.RR.perc, plot3.meta.RR.perc.all)


# **Re-structure data for each grouping term; delete un-used variables: "Hearing missing for all 3 parameters"

plot3.meta.CVR.perc.b <- as.data.frame(plot3.meta.CVR.perc %>% group_by(GroupingTerm) %>%
  mutate(
    lnCVR = map_dbl(model_lnCVR, pluck(2)), lnCVR_lower = map_dbl(model_lnCVR, pluck(6)),
    lnCVR_upper = map_dbl(model_lnCVR, pluck(7)), lnCVR_se = map_dbl(model_lnCVR, pluck(3))
  ))[, c(1, 4:7)]
add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.meta.CVR.perc.b))
plot3.meta.CVR.perc.b <- rbind(plot3.meta.CVR.perc.b, add.row.hearing)
plot3.meta.CVR.perc.b <- plot3.meta.CVR.perc.b[order(plot3.meta.CVR.perc.b$GroupingTerm), ]

plot3.meta.VR.perc.b <- as.data.frame(plot3.meta.VR.perc %>% group_by(GroupingTerm) %>%
  mutate(
    lnVR = map_dbl(model_lnVR, pluck(2)), lnVR_lower = map_dbl(model_lnVR, pluck(6)),
    lnVR_upper = map_dbl(model_lnVR, pluck(7)), lnVR_se = map_dbl(model_lnVR, pluck(3))
  ))[, c(1, 4:7)]
add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.meta.VR.perc.b))
plot3.meta.VR.perc.b <- rbind(plot3.meta.VR.perc.b, add.row.hearing)
plot3.meta.VR.perc.b <- plot3.meta.VR.perc.b[order(plot3.meta.VR.perc.b$GroupingTerm), ]

plot3.meta.RR.perc.b <- as.data.frame(plot3.meta.RR.perc %>% group_by(GroupingTerm) %>%
  mutate(
    lnRR = map_dbl(model_lnRR, pluck(2)), lnRR_lower = map_dbl(model_lnRR, pluck(6)),
    lnRR_upper = map_dbl(model_lnRR, pluck(7)), lnRR_se = map_dbl(model_lnRR, pluck(3))
  ))[, c(1, 4:7)]
add.row.hearing <- as.data.frame(t(c("Hearing", NA, NA, NA, NA))) %>% setNames(names(plot3.meta.RR.perc.b))
plot3.meta.RR.perc.b <- rbind(plot3.meta.RR.perc.b, add.row.hearing)
add.row.hematology <- as.data.frame(t(c("Hematology", NA, NA, NA, NA))) %>%
  setNames(names(plot3.meta.RR.perc.b))
plot3.meta.RR.perc.b <- rbind(plot3.meta.RR.perc.b, add.row.hematology)


plot3.meta.RR.perc.b <- plot3.meta.RR.perc.b[order(plot3.meta.RR.perc.b$GroupingTerm), ]

plot3.meta.CVR.perc.c <- full_join(plot3.meta.CVR.perc.b, plot3.meta.VR.perc.b)
overall.plot3.perc <- full_join(plot3.meta.CVR.perc.c, plot3.meta.RR.perc.b)


overall.plot3.perc$GroupingTerm <- factor(overall.plot3.perc$GroupingTerm, levels = c("Behaviour", "Morphology", "Metabolism", "Physiology", "Immunology", "Hematology", "Heart", "Hearing", "Eye", "All"))
overall.plot3.perc$GroupingTerm <- factor(overall.plot3.perc$GroupingTerm, rev(levels(overall.plot3.perc$GroupingTerm)))
```

Restructure data for plotting
Female bias, 10 percent difference

```{r}
overall3.perc <- gather(overall.plot3.perc, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE) 

lnCVR.ci <- overall3.perc %>%
  filter(parameter == "lnCVR") %>%
  mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper)
lnVR.ci <- overall3.perc  %>% filter(parameter == "lnVR") %>% mutate(ci.low = lnVR_lower, ci.high = lnVR_upper)
lnRR.ci <- overall3.perc %>%
  filter(parameter == "lnRR") %>%
  mutate(ci.low = lnRR_lower, ci.high = lnRR_upper)

overall4.perc <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high)

overall4.perc$label <- "Sex difference in m/f ratios > 10%"

overall4.perc$value <- as.numeric(overall4.perc$value)
overall4.perc$ci.low <- as.numeric(overall4.perc$ci.low)
overall4.perc$ci.high <- as.numeric(overall4.perc$ci.high)
```

Plot FigS2 all >10% difference (female)
Figure S2B, bottom left

```{r}
Metameta_Fig3_female.perc <- overall4.perc %>%
  ggplot(aes(y = GroupingTerm, x = value)) +
  geom_errorbarh(aes(
    xmin = ci.low,
    xmax = ci.high
  ),
  height = 0.1, show.legend = FALSE
  ) +
  geom_point(aes(shape = parameter),
    fill = "salmon1", color = "salmon1", size = 2.2,
    show.legend = FALSE
  ) +

  # scale_shape_manual(values =

  scale_x_continuous(
    limits = c(-0.53, 0.2),
    breaks = c(-0.3, 0),
    name = "Effect size"
  ) +
  geom_vline(
    xintercept = 0,
    color = "black",
    linetype = "dashed"
  ) +
  facet_grid(
    cols = vars(parameter), # rows = vars(label),
    # labeller = label_wrap_gen(width = 23),
    scales = "free",
    space = "free"
  ) +
  theme_bw() +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_blank(),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.title = element_blank(),
    axis.title.x = element_text(hjust = 0.5, size = 14),
    axis.title.y = element_blank()
  )

# Metameta_Fig3_female.perc (Figure 5D left panel)
```
MISSING
Metameta_Fig3_female.sig Metameta_Fig3_female.sig VR!!!
# ADDED TO TEST
#Metameta_FigS2_male.sig (Figure S2B top right panel)

Restructure MALE data for plotting 

```{r}
overall3.male.sigS <- gather(overall.male.plot3, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE)


lnCVR.ci <- overall3.male.sigS %>%
  filter(parameter == "lnCVR") %>%
  mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper)
lnVR.ci <- overall3.male.sigS %>%
  filter(parameter == "lnVR") %>%
  mutate(ci.low = lnVR_lower, ci.high = lnVR_upper)
lnRR.ci <- overall3.male.sigS %>%
  filter(parameter == "lnRR") %>%
  mutate(ci.low = lnRR_lower, ci.high = lnRR_upper)

overall4.male.sigS <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high)

overall4.male.sigS$label <- "CI not overlapping zero"
```

Plot FigS2 all significant results (CI not overlapping zero, male )

```{r}
Metameta_FigS2_male.sig <- overall4.male.sigS %>%
  ggplot(aes(y = GroupingTerm, x = value)) +
  geom_errorbarh(aes(
    xmin = ci.low,
    xmax = ci.high
  ),
  height = 0.1, show.legend = FALSE
  ) +
  geom_point(aes(shape = parameter),
    fill = "mediumaquamarine", color = "mediumaquamarine", size = 2.2,
    show.legend = FALSE
  ) +
  scale_x_continuous(
    limits = c(0, 0.4),
    breaks = c(0, 0.3),
    name = "Effect size"
  ) +
  geom_vline(
    xintercept = 0,
    color = "black",
    linetype = "dashed"
  ) +
  facet_grid(
    cols = vars(parameter), rows = vars(label),
    labeller = label_wrap_gen(width = 23),
    scales = "free",
    space = "free"
  ) +
  theme_bw() +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_text(size = 12),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.title = element_blank(),
    axis.title.x = element_blank(),
    axis.title.y = element_blank()
  )

# Metameta_FigS2_male.sig
```



#### Plot Fig S2:   plots combined

Metameta_FigS2_female.sig
```{r}
library(ggpubr)
FigS2b <- ggarrange(Metameta_FigS2_female.sig, Metameta_FigS2_male.sig,
  ncol = 2, nrow = 1, widths = c(1, 1.20), heights = c(1, 1)
)

FigS2d <- ggarrange(Metameta_Fig3_female.perc, Metameta_Fig3_male.perc,
  ncol = 2, nrow = 1, widths = c(1, 1.20), heights = c(1, 1)
)

# end combination Figure 5
FigS2 <- ggarrange(malebias_FigS2_sigtraits, malebias_Fig2_over10, FigS2b, FigS2d, ncol = 1, nrow = 4, heights = c(2.3, 2, 2.1, 2), labels = c("A", " ", "B", " "))
FigS2
```

## NOT SURE WHAT THIS BELOW IS?? Felix added 11/2/2020: Ich glaube, dass das von vorher war. wenn wir alles oben haben, dann unten loeschen

## Figure S2: sex-bias, including VR

Prepare data for traits with effect size ratios > 10% larger in males

```{r}
meta.plotS2.over10 <- meta_clean %>%
  select(lnCVR, lnVR, lnRR, GroupingTerm) %>%
  arrange(GroupingTerm)

meta.plotS2.over10.b <- gather(meta.plotS2.over10, trait, value, c(lnCVR, lnVR, lnRR))

meta.plotS2.over10.b$trait <- factor(meta.plotS2.over10.b$trait, levels = c("lnCVR", "lnVR", "lnRR"))

meta.plotS2.over10.c <- meta.plotS2.over10.b %>%
  group_by_at(vars(trait, GroupingTerm)) %>%
  summarise(
    malebias = sum(value > log(11 / 10)), femalebias = sum(value < log(9 / 10)), total = malebias + femalebias,
    malepercent = malebias * 100 / total, femalepercent = femalebias * 100 / total
  )

meta.plotS2.over10.c$label <- "Sex difference in m/f ratios > 10%"

# restructure to create stacked bar plots

meta.plotS2.over10.c <- as.data.frame(meta.plotS2.over10.c)
meta.plotS2.over10.d <- gather(meta.plotS2.over10.c, key = sex, value = percent, malepercent:femalepercent, factor_key = TRUE)

# create new sample size variable

meta.plotS2.over10.d$samplesize <- with(meta.plotS2.over10.d, ifelse(sex == "malepercent", malebias, femalebias))

# *Plot FigS2 Sex difference in m/f ratio > 10%
malebias_FigS2_over10 <-
  ggplot(meta.plotS2.over10.d) +
  aes(x = GroupingTerm, y = percent, fill = sex) +
  geom_col() +
  geom_hline(yintercept = 50, linetype = "dashed", color = "gray40") +
  geom_text(
    data = subset(meta.plot2.over10.d, samplesize != 0), aes(label = samplesize), position = position_stack(vjust = .5),
    color = "white", size = 3.5
  ) +
  facet_grid(
    cols = vars(trait), rows = vars(label), labeller = label_wrap_gen(width = 18),
    scales = "free", space = "free"
  ) +
  scale_fill_brewer(palette = "Set2") +
  theme_bw(base_size = 18) +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_blank(),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.position = "none",
    axis.title.x = element_blank(),
    axis.title.y = element_blank()
  ) +
  coord_flip()

# malebias_FigS2_over10  #(Panel B in Fig S2 in ms)
```



#Metameta_FigS2_male.sig (Figure S2B top right panel)

Restructure MALE data for plotting 

```{r}
overall3.male.sigS <- gather(overall.male.plot3, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE)


lnCVR.ci <- overall3.male.sigS %>%
  filter(parameter == "lnCVR") %>%
  mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper)
lnVR.ci <- overall3.male.sigS %>%
  filter(parameter == "lnVR") %>%
  mutate(ci.low = lnVR_lower, ci.high = lnVR_upper)
lnRR.ci <- overall3.male.sigS %>%
  filter(parameter == "lnRR") %>%
  mutate(ci.low = lnRR_lower, ci.high = lnRR_upper)

overall4.male.sigS <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high)

overall4.male.sigS$label <- "CI not overlapping zero"
```

Plot FigS2 all significant results (CI not overlapping zero, male )

```{r}
Metameta_FigS2_male.sig <- overall4.male.sigS %>%
  ggplot(aes(y = GroupingTerm, x = value)) +
  geom_errorbarh(aes(
    xmin = ci.low,
    xmax = ci.high
  ),
  height = 0.1, show.legend = FALSE
  ) +
  geom_point(aes(shape = parameter),
    fill = "mediumaquamarine", color = "mediumaquamarine", size = 2.2,
    show.legend = FALSE
  ) +
  scale_x_continuous(
    limits = c(0, 0.4),
    breaks = c(0, 0.3),
    name = "Effect size"
  ) +
  geom_vline(
    xintercept = 0,
    color = "black",
    linetype = "dashed"
  ) +
  facet_grid(
    cols = vars(parameter), rows = vars(label),
    labeller = label_wrap_gen(width = 23),
    scales = "free",
    space = "free"
  ) +
  theme_bw() +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_text(size = 12),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.title = element_blank(),
    axis.title.x = element_blank(),
    axis.title.y = element_blank()
  )

# Metameta_FigS2_male.sig
```

### 10 % Perc sex difference, male bias
Restructure data for plotting : Male biased, 10% difference

```{r}
overall3S.perc <- gather(overall.male.plot3.perc, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE) # lnVR,

lnCVR.ci <- overall3S.perc %>%
  filter(parameter == "lnCVR") %>%
  mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper)
lnVR.ci <- overall3S.perc %>%
  filter(parameter == "lnVR") %>%
  mutate(ci.low = lnVR_lower, ci.high = lnVR_upper)
lnRR.ci <- overall3S.perc %>%
  filter(parameter == "lnRR") %>%
  mutate(ci.low = lnRR_lower, ci.high = lnRR_upper)

overall4S.male.perc <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high) # lnVR.ci,

overall4S.male.perc$label <- "Sex difference in m/f ratios > 10%"

overall4S.male.perc$value <- as.numeric(overall4S.male.perc$value)
overall4S.male.perc$ci.low <- as.numeric(overall4S.male.perc$ci.low)
overall4S.male.perc$ci.high <- as.numeric(overall4S.male.perc$ci.high)
```

Plot FigS2  all >10% difference (male bias)

```{r}
Metameta_FigS2_male.perc <- overall4S.male.perc %>% # filter(., GroupingTerm != "Hearing") %>%
  ggplot(aes(y = GroupingTerm, x = value)) +
  geom_errorbarh(aes(
    xmin = ci.low,
    xmax = ci.high
  ),
  height = 0.1, show.legend = FALSE
  ) +
  geom_point(aes(
    shape = parameter,
    fill = parameter
  ),
  color = "mediumaquamarine", size = 2.2,
  show.legend = FALSE
  ) +
  scale_x_continuous(
    limits = c(-0.2, 0.62),
    breaks = c(0, 0.3),
    name = "Effect size"
  ) +
  geom_vline(
    xintercept = 0,
    color = "black",
    linetype = "dashed"
  ) +
  facet_grid(
    cols = vars(parameter), rows = vars(label),
    labeller = label_wrap_gen(width = 23),
    scales = "free",
    space = "free"
  ) +
  theme_bw() +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_blank(),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.title = element_blank(),
    axis.title.x = element_text(hjust = 0.5, size = 14),
    axis.title.y = element_blank()
  )

# Metameta_FigS2_male.perc (Figure 5D right panel)
```

Restructure data for plotting: 
Female bias, 10 percent difference, including VR

```{r}
overall3S.perc <- gather(overall.plot3.perc, parameter, value, c(lnCVR, lnVR, lnRR), factor_key = TRUE) # lnVR,

lnCVR.ci <- overall3S.perc %>%
  filter(parameter == "lnCVR") %>%
  mutate(ci.low = lnCVR_lower, ci.high = lnCVR_upper)
lnVR.ci <- overall3S.perc %>%
  filter(parameter == "lnVR") %>%
  mutate(ci.low = lnVR_lower, ci.high = lnVR_upper)
lnRR.ci <- overall3S.perc %>%
  filter(parameter == "lnRR") %>%
  mutate(ci.low = lnRR_lower, ci.high = lnRR_upper)

overall4S.perc <- bind_rows(lnCVR.ci, lnVR.ci, lnRR.ci) %>% select(GroupingTerm, parameter, value, ci.low, ci.high)

overall4S.perc$label <- "Sex difference in m/f ratios > 10%"

overall4S.perc$value <- as.numeric(overall4S.perc$value)
overall4S.perc$ci.low <- as.numeric(overall4S.perc$ci.low)
overall4S.perc$ci.high <- as.numeric(overall4S.perc$ci.high)
```

Plot Fig5D all >10% difference (female)

```{r}
Metameta_Fig3S_female.perc <- overall4S.perc %>%
  ggplot(aes(y = GroupingTerm, x = value)) +
  geom_errorbarh(aes(
    xmin = ci.low,
    xmax = ci.high
  ),
  height = 0.1, show.legend = FALSE
  ) +
  geom_point(aes(shape = parameter),
    fill = "salmon1", color = "salmon1", size = 2.2,
    show.legend = FALSE
  ) +

  # scale_shape_manual(values =

  scale_x_continuous(
    limits = c(-0.53, 0.2),
    breaks = c(-0.3, 0),
    name = "Effect size"
  ) +
  geom_vline(
    xintercept = 0,
    color = "black",
    linetype = "dashed"
  ) +
  facet_grid(
    cols = vars(parameter), # rows = vars(label),
    # labeller = label_wrap_gen(width = 23),
    scales = "free",
    space = "free"
  ) +
  theme_bw() +
  theme(
    strip.text.y = element_text(angle = 270, size = 10, margin = margin(t = 15, r = 15, b = 15, l = 15)),
    strip.text.x = element_blank(),
    strip.background = element_rect(colour = NULL, linetype = "blank", fill = "gray90"),
    text = element_text(size = 14),
    panel.spacing = unit(0.5, "lines"),
    panel.border = element_blank(),
    axis.line = element_line(),
    panel.grid.major.x = element_line(linetype = "solid", colour = "gray95"),
    panel.grid.major.y = element_line(linetype = "solid", color = "gray95"),
    panel.grid.minor.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    legend.title = element_blank(),
    axis.title.x = element_text(hjust = 0.5, size = 14),
    axis.title.y = element_blank()
  )

# Metameta_Fig3S_female.perc (Figure 5D left panel)
```

Figure S2 

```{r}
FigS2c <- ggarrange(Metameta_FigS2_female.sig, Metameta_FigS2_male.sig,
  ncol = 2, nrow = 1, widths = c(1, 1.20), heights = c(1, 1)
)

FigS2d <- ggarrange(Metameta_Fig3S_female.perc, Metameta_FigS2_male.perc,
  ncol = 2, nrow = 1, widths = c(1, 1.20), heights = c(1, 1)
)

# end combination Figure 5

FigS2 <- ggarrange(malebias_FigS2_sigtraits, malebias_FigS2_over10, FigS2c, FigS2d, ncol = 1, nrow = 4, heights = c(2.2, 2, 2.2, 2), labels = c("A", " ", "B", " "))
FigS2
```

## Acknowledgements
tbd

## R Session Information

```{r}
sessionInfo()
```

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