{ "type": "Article", "about": [ { "type": "DefinedTerm", "name": "Evolutionary Biology" }, { "type": "DefinedTerm", "name": "Microbiology and Infectious Disease" } ], "authors": [ { "type": "Person", "affiliations": [ { "type": "Organization", "address": { "type": "PostalAddress", "addressCountry": "Germany", "addressLocality": "Bayreuth" }, "name": "Animal Ecology I, Bayreuth Center for Ecology and Environmental Research (BayCEER), University of Bayreuth, Universitätsstraße" } ], "emails": [ "simon.tragust@zoologie.uni-halle.de" ], "familyNames": [ "Tragust" ], "givenNames": [ "Simon" ] }, { "type": "Person", "affiliations": [ { "type": "Organization", "address": { "type": "PostalAddress", "addressCountry": "Germany", "addressLocality": "Bayreuth" }, "name": "Animal Ecology I, Bayreuth Center for Ecology and Environmental Research (BayCEER), University of Bayreuth, Universitätsstraße" } ], "familyNames": [ "Herrmann" ], "givenNames": [ "Claudia" ] }, { "type": "Person", "affiliations": [ { "type": "Organization", "address": { "type": "PostalAddress", "addressCountry": "Germany", "addressLocality": "Bayreuth" }, "name": "Animal Ecology I, Bayreuth Center for Ecology and Environmental Research (BayCEER), University of Bayreuth, Universitätsstraße" } ], "familyNames": [ "Häfner" ], "givenNames": [ "Jane" ] }, { "type": "Person", "affiliations": [ { "type": "Organization", "address": { "type": "PostalAddress", "addressCountry": "Germany", "addressLocality": "Bayreuth" }, "name": "Animal Ecology I, Bayreuth Center for Ecology and Environmental Research (BayCEER), University of Bayreuth, Universitätsstraße" } ], "familyNames": [ "Braasch" ], "givenNames": [ "Ronja" ] }, { "type": "Person", "affiliations": [ { "type": "Organization", "address": { "type": "PostalAddress", "addressCountry": "Germany", "addressLocality": "Bayreuth" }, "name": "Animal Ecology I, Bayreuth Center for Ecology and Environmental Research (BayCEER), University of Bayreuth, Universitätsstraße" } ], "familyNames": [ "Tilgen" ], "givenNames": [ "Christina" ] }, { "type": "Person", "affiliations": [ { "type": "Organization", "address": { "type": "PostalAddress", "addressCountry": "Germany", "addressLocality": "Bayreuth" }, "name": "Animal Ecology I, Bayreuth Center for Ecology and Environmental Research (BayCEER), University of Bayreuth, Universitätsstraße" } ], "familyNames": [ "Hoock" ], "givenNames": [ "Maria" ] }, { "type": "Person", "affiliations": [ { "type": "Organization", "address": { "type": "PostalAddress", "addressCountry": "Germany", "addressLocality": "Bayreuth" }, "name": "Animal Ecology I, Bayreuth Center for Ecology and Environmental Research (BayCEER), University of Bayreuth, Universitätsstraße" } ], "familyNames": [ "Milidakis" ], "givenNames": [ "Margarita", "Artemis" ] }, { "type": "Person", "affiliations": [ { "type": "Organization", "address": { "type": "PostalAddress", "addressCountry": "Germany", "addressLocality": "Würzburg" }, "name": "Microbiology, Biocenter, University of Würzburg, Am Hubland" } ], "familyNames": [ "Gross" ], "givenNames": [ "Roy" ] }, { "type": "Person", "affiliations": [ { "type": "Organization", "address": { "type": "PostalAddress", "addressCountry": "Germany", "addressLocality": "Bayreuth" }, "name": "Animal Ecology I, Bayreuth Center for Ecology and Environmental Research (BayCEER), University of Bayreuth, Universitätsstraße" } ], "familyNames": [ "Feldhaar" ], "givenNames": [ "Heike" ] } ], "dateAccepted": { "type": "Date", "value": "2020-10-14" }, "datePublished": { "type": "Date", "value": "2020-11-03" }, "dateReceived": { "type": "Date", "value": "2020-06-22" }, "description": "Animals continuously encounter microorganisms that are essential for health or cause disease. They are thus challenged to control harmful microbes while allowing the acquisition of beneficial microbes. This challenge is likely especially important for social insects with respect to microbes in food, as they often store food and exchange food among colony members. Here we show that formicine ants actively swallow their antimicrobial, highly acidic poison gland secretion. The ensuing acidic environment in the stomach, the crop, can limit the establishment of pathogenic and opportunistic microbes ingested with food and improve the survival of ants when faced with pathogen contaminated food. At the same time, crop acidity selectively allows acquisition and colonization by Acetobacteraceae, known bacterial gut associates of formicine ants. This suggests that swallowing of the poison in formicine ants acts as a microbial filter and that antimicrobials have a potentially widespread but so far underappreciated dual role in host-microbe interactions.", "editors": [ { "type": "Person", "affiliations": [ { "type": "Organization", "address": { "type": "PostalAddress", "addressCountry": "Switzerland" }, "name": "École Polytechnique Fédérale de Lausanne" } ], "familyNames": [ "Lemaître" ], "givenNames": [ "Bruno" ] } ], "genre": [ "Research Article" ], "identifiers": [ { "type": "PropertyValue", "name": "publisher-id", "propertyID": "https://registry.identifiers.org/registry/publisher-id", "value": 60287 }, { "type": "PropertyValue", "name": "doi", "propertyID": "https://registry.identifiers.org/registry/doi", "value": "10.7554/eLife.60287" }, { "type": "PropertyValue", "name": "elocation-id", "propertyID": "https://registry.identifiers.org/registry/elocation-id", "value": "e60287" } ], "isPartOf": { "type": "PublicationVolume", 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the burying beetle and its Microbiota" }, { "type": "Article", "id": "bib147", "authors": [ { "type": "Person", "familyNames": [ "Watnick" ], "givenNames": [ "PI" ] }, { "type": "Person", "familyNames": [ "Jugder" ], "givenNames": [ "BE" ] } ], "datePublished": { "type": "Date", "value": "2020" }, "isPartOf": { "type": "PublicationVolume", "isPartOf": { "type": "Periodical", "name": "Trends in Microbiology" }, "volumeNumber": 28 }, "pageEnd": 149, "pageStart": 141, "title": "Microbial control of intestinal homeostasis via enteroendocrine cell innate immune signaling" }, { "type": "Article", "id": "bib148", "authors": [ { "type": "Person", "familyNames": [ "Williams" ], "givenNames": [ "LE" ] }, { "type": "Person", "familyNames": [ "Wernegreen" ], "givenNames": [ "JJ" ] } ], "datePublished": { "type": "Date", "value": "2015" }, "isPartOf": { "type": "PublicationVolume", "isPartOf": { "type": "Periodical", "name": "PeerJ" }, "volumeNumber": 3 }, "title": "Genome evolution in an ancient bacteria-ant symbiosis: parallel gene loss among Blochmannia spanning the origin of the ant tribe Camponotini" }, { "type": "Article", "id": "bib149", "authors": [ { "type": "Person", "familyNames": [ "Wolfe" ], "givenNames": [ "AJ" ] } ], "datePublished": { "type": "Date", "value": "2005" }, "isPartOf": { "type": "PublicationVolume", "isPartOf": { "type": "Periodical", "name": "Microbiology and Molecular Biology Reviews" }, "volumeNumber": 69 }, "pageEnd": 50, "pageStart": 12, "title": "The acetate switch" }, { "type": "Article", "id": "bib150", "authors": [ { "type": "Person", "familyNames": [ "Xiao" ], "givenNames": [ "R" ] }, { "type": "Person", "familyNames": [ "Wang" ], "givenNames": [ "X" ] }, { "type": "Person", "familyNames": [ "Xie" ], "givenNames": [ "E" ] }, { "type": "Person", "familyNames": [ "Ji" ], "givenNames": [ "T" ] }, { "type": "Person", "familyNames": [ "Li" ], "givenNames": [ "X" ] }, { "type": "Person", "familyNames": [ "Muhammad" ], "givenNames": [ "A" ] }, { "type": "Person", "familyNames": [ "Yin" ], "givenNames": [ "X" ] }, { "type": "Person", "familyNames": [ "Hou" ], "givenNames": [ "Y" ] }, { "type": "Person", "familyNames": [ "Shi" ], "givenNames": [ "Z" ] } ], "datePublished": { "type": "Date", "value": "2019" }, "isPartOf": { "type": "PublicationVolume", "isPartOf": { "type": "Periodical", "name": "Developmental & Comparative Immunology" }, "volumeNumber": 97 }, "pageEnd": 27, "pageStart": 20, "title": "An IMD-like pathway mediates the intestinal immunity to modulate the homeostasis of gut Microbiota in Rhynchophorus ferrugineus Olivier (Coleoptera: Dryophthoridae)" } ], "title": "Formicine ants swallow their highly acidic poison for gut microbial selection and control", "content": [ { "type": "Heading", "depth": 1, "content": [ "Introduction" ] }, { "type": "Paragraph", "content": [ "Animals commonly harbor gut-associated microbial communities (", { "type": "Cite", "target": "bib42" }, "; ", { "type": "Cite", "target": "bib99" }, "). Patterns of recurring gut microbial communities have been described for many animal groups (", { "type": "Cite", "target": "bib20" }, "; ", { "type": "Cite", "target": "bib84" }, "; ", { "type": "Cite", "target": "bib106" }, "). The processes generating these patterns are however often not well understood. They might result from host filtering (", { "type": "Cite", "target": "bib94" }, "), a shared evolutionary history between gut-associated microbes and their hosts (", { "type": "Cite", "target": "bib98" }, ") involving microbial adaptations to the host environment (", { "type": "Cite", "target": "bib95" }, "), simply be a byproduct of similar host dietary preferences (", { "type": "Cite", "target": "bib2" }, "; ", { "type": "Cite", "target": "bib56" }, "), or result from interactions between microbes in the gut-associated microbial community (", { "type": "Cite", "target": "bib15" }, "; ", { "type": "Cite", "target": "bib48" }, ")." ] }, { "type": "Paragraph", "content": [ "Food is an important environmental source of microbial gut associates (", { "type": "Cite", "target": "bib12" }, "; ", { "type": "Cite", "target": "bib16" }, "; ", { "type": "Cite", "target": "bib36" }, "; ", { "type": "Cite", "target": "bib56" }, "; ", { "type": "Cite", "target": "bib115" }, "; ", { "type": "Cite", "target": "bib114" }, ") but also poses a challenge, the need to discriminate between harmful and beneficial microbes, as food may contain microbes that produce toxic chemicals or that are pathogenic (", { "type": "Cite", "target": "bib24" }, "; ", { "type": "Cite", "target": "bib38" }, "; ", { "type": "Cite", "target": "bib73" }, "; ", { "type": "Cite", "target": "bib142" }, "). In social animals, control of harmful microbes in food while at the same time allowing the acquisition and transmission of beneficial microbes from and with food, is likely especially important. Eusocial Hymenoptera not only transport and store food in their stomach, the crop, but also distribute food to members of their colony via trophallaxis, i.e. the regurgitation of crop content from donor individuals to receiver individuals through mouth-to-mouth feeding (", { "type": "Cite", "target": "bib49" }, "; ", { "type": "Cite", "target": "bib53" }, "; ", { "type": "Cite", "target": "bib86" }, "). While trophallaxis can facilitate the transmission of beneficial microbes, it can also entail significant costs, as it might open the door to unwanted microbial opportunists and pathogens that can take advantage of these transmission routes (", { "type": "Cite", "target": "bib108" }, "; ", { "type": "Cite", "target": "bib125" }, ")." ] }, { "type": "Paragraph", "content": [ "Here we investigate how formicine ants, specifically the Florida carpenter ant ", { "type": "Emphasis", "content": [ "Camponotus floridanus" ] }, ", solve the challenge to control harmful microbes in their food while allowing acquisition and transmission of beneficial microbes from and with their food. Apart from specialized intracellular endosymbionts associated with the midgut in the ant tribe Camponotini (", { "type": "Cite", "target": "bib37" }, "; ", { "type": "Cite", "target": "bib45" }, "; ", { "type": "Cite", "target": "bib124" }, "; ", { "type": "Cite", "target": "bib148" }, "), formicine ant species have only low abundances of microbial associates in their gut lumen but carry members of the bacterial family Acetobacteraceae as a recurring part of their gut microbiota (", { "type": "Cite", "target": "bib18" }, "; ", { "type": "Cite", "target": "bib31" }, "; ", { "type": "Cite", "target": "bib59" }, "; ", { "type": "Cite", "target": "bib72" }, "; ", { "type": "Cite", "target": "bib124" }, "). Some formicine gut-associated Acetobacteraceae show signs of genomic and metabolic adaptations to their host environment indicating coevolution and mutual benefit (", { "type": "Cite", "target": "bib19" }, "; ", { "type": "Cite", "target": "bib32" }, "). But the recurrent presence of Acetobacteraceae in the gut of formicine ants potentially also reflects the direct transmission of bacteria among individuals, selective uptake on the part of the ants, specific adaptations for colonizing ant guts on the part of the bacteria, or some combination of all three (", { "type": "Cite", "target": "bib42" }, ")." ] }, { "type": "Paragraph", "content": [ "Formicine ant species possess a highly acidic poison gland secretion containing formic acid as its main component (", { "type": "Cite", "target": "bib88" }, "; ", { "type": "Cite", "target": "bib110" }, "; ", { "type": "Cite", "target": "bib128" }, "). Although the poison is presumably foremost used as a defensive weapon (", { "type": "Cite", "target": "bib111" }, "), it is also distributed to the environment of these ants as an external immune defense trait (sensu ", { "type": "Cite", "target": "bib112" }, ") to protect their offspring and the nest and to limit disease spread within the society (see references in ", { "type": "Cite", "target": "bib141" }, "; ", { "type": "Cite", "target": "bib21" }, "; ", { "type": "Cite", "target": "bib116" }, "). To this end, ants take up their poison from the acidopore, the opening of the poison gland at the gaster tip, into their mouth (", { "type": "Cite", "target": "bib140" }, ") during a specialized behavior existing only in a subset of ant families among all Hymenopterans (", { "type": "Cite", "target": "bib5" }, "; ", { "type": "Cite", "target": "bib43" }, "), termed acidopore grooming." ] }, { "type": "Paragraph", "content": [ "Here we first investigate whether the poison is also swallowed during acidopore grooming in ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " and seven other formicine ant species from three genera in a comparative survey. In survival experiments and in in vitro and in vivo bacterial viability and growth experiments, we then investigate whether swallowing of the poison can serve gut microbial control and may prevent bacterial pathogen infection. Complementing these experiments, we also test whether poison swallowing has the potential to limit pathogen transmission during trophallactic food exchange. Finally, we explore whether swallowing of the poison acts as a microbial filter that is permissible to gut colonization by bacteria from the family Acetobacteraceae." ] }, { "type": "Heading", "depth": 1, "content": [ "Results" ] }, { "type": "CodeChunk", "duration": 1.495, "programmingLanguage": "r", "text": "#computational packages and code\nlibrary(plyr)#version 1.8.4\nlibrary(dplyr)#version 0.8.3\ndrop.levels <- function(dat){\n # Drop unused factor levels from all factors in a data.frame\n # Author: Kevin Wright. Idea by Brian Ripley.\n dat[] <- lapply(dat, function(x) x[,drop=TRUE])\n return(dat)\n}\n\n#graphical packages\nlibrary(ggplot2)#version 3.2.1\nlibrary(ggkm)#version 0.6.0; see https://github.com/sachsmc/ggkm\n\n#statistical packages\nlibrary(lme4)#version 1.1-21\nlibrary(multcomp)#version 1.4-10\nlibrary(DHARMa)#version 0.2.4\nlibrary(coxme)#2.2-14\nlibrary(glmmTMB)#version 0.2.3\n\n#in order for the package multcomp to work with glmmTMB you need this function see: https://github.com/glmmTMB/glmmTMB/blob/master/glmmTMB/vignettes/model_evaluation.rmd\nglht_glmmTMB <- function (model, ..., component=\"cond\") {\n glht(model, ...,\n coef. = function(x) fixef(x)[[component]],\n vcov. = function(x) vcov(x)[[component]],\n df = NULL)\n}\n\n\nlibrary(broman) # for myround function to round p-values for inline text\nformat_pval <- function(x){\n if (x < .001) return(paste('<0.001'))\n if (x > .05 & x < 0.1) return(paste('>0.05'))\n paste('=', myround(x, 3)) # 3 = no. of digits to round p value to if .001 < p < .250.\n}\n\n\n# the raw data is stored at the Dryad Digital Data Repository: https://doi.org/10.5061/dryad.k0p2ngf4v\n" }, { "type": "Heading", "depth": 2, "content": [ "Swallowing of the formicine ant poison gland secretion leads to acidic crop environments" ] }, { "type": "CodeChunk", "duration": 20.326, "programmingLanguage": "r", "text": "######################################################################################################\n######################### Fig 1 a,b,c: Crop acidification ############################################\n######################################################################################################\n\n\n#############loading data for Fig.1a\nacidification.c.floridanus<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708509\",header=T)#choose file: Supplementary Data Fig.1a.txt\n#str(acidification.c.floridanus)\nacidification.c.floridanus$time<-factor(acidification.c.floridanus$time,c(\"0+4h\",\"0+24h\",\"0+48h\",\"48+4h\"))#reorder factor time\n\n\n#############statistcal analysis\nm.acidification.c.floridanus<-lmer(log(ph)~time+(1|colony),data=acidification.c.floridanus)\n#summary(m.acidification.c.floridanus)\n\n#model validation\nres.m.acidification.c.floridanus<-simulateResiduals(fittedModel=m.acidification.c.floridanus)\n#plot(res.m.acidification.c.floridanus)\n\n#significance of predictor time since feeding (four levels: 0+4h, 0+24h, 0+48h, 48h+4h)\nm.acidification.c.floridanus0<-lmer(log(ph)~1+(1|colony),data=acidification.c.floridanus)\n#anova(m.acidification.c.floridanus,m.acidification.c.floridanus0)\n\n#post-hoc comporisons of predictor-levels time since feeding\nm.acidification.c.floridanus.glht<-glht(m.acidification.c.floridanus,linfct=mcp(time=\"Tukey\"))\noutput.m.acidification.c.floridanus.glht<-summary(m.acidification.c.floridanus.glht,test=adjusted(\"Westfall\"))\n#output.m.acidification.c.floridanus.glht\n\n#calculation of median values and confidence intervals of predictor time since feeding (four levels: 0+4h, 0+24h, 0+48h, 48h+4h)\nph.summary.c.floridanus<-ddply(acidification.c.floridanus,\"time\",summarize,\nN=length(ph),\nmedian=quantile(ph,0.5),\nlowerCI=quantile(ph,0.025),\nupperCI=quantile(ph,0.975))\n#ph.summary.c.floridanus\n\n\n#############loading data for Fig.1b\nmobility.c.floridanus<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708508\",header=T)#choose file: Supplementary Data Fig.1b.txt\n#str(mobility.c.floridanus)\n\n\n#############statistcal analysis for Fig.1b\nm.mobility.c.floridanus<-lmer(ph~treatment+(1|colony),data=mobility.c.floridanus)\n#summary(m.mobility.c.floridanus)\n\n#model validation\nres.m.mobility.c.floridanus<-simulateResiduals(fittedModel=m.mobility.c.floridanus)\n#plot(res.m.mobility.c.floridanus)\n\n#significance of predictor ant manipulation (two levels: FA+ and FA-, i.e. ants with and without acidopore access)\nm.mobility.c.floridanus0<-lmer(ph~1+(1|colony),data=mobility.c.floridanus)\n#anova(m.mobility.c.floridanus,m.mobility.c.floridanus0)\n\n\n\n#############loading data for Fig.1c\nmobility.formicine.ants<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708511\",header=T)#choose data: Supplementary Data Fig.1c.txt\n#str(mobility.formicine.ants)\n\n#subsetting the data frame into the six formicine ant species\nmobility.c.maculatus<-subset(mobility.formicine.ants,colony==\"c2\")\nmobility.c.maculatus<-drop.levels(mobility.c.maculatus)\n#str(mobility.c.maculatus)\n\nmobility.l.fuliginosus<-subset(mobility.formicine.ants,colony==\"l1\")\nmobility.l.fuliginosus<-drop.levels(mobility.l.fuliginosus)\n#str(mobility.l.fuliginosus)\n\nmobility.f.pratensis<-subset(mobility.formicine.ants,colony==\"f1\")\nmobility.f.pratensis<-drop.levels(mobility.f.pratensis)\n#str(mobility.f.pratensis)\n\nmobility.f.rufibarbis<-subset(mobility.formicine.ants,colony==\"f2\")\nmobility.f.rufibarbis<-drop.levels(mobility.f.rufibarbis)\n#str(mobility.f.rufibarbis)\n\nmobility.f.cinerea<-subset(mobility.formicine.ants,colony==\"f3\")\nmobility.f.cinerea<-drop.levels(mobility.f.cinerea)\n#str(mobility.f.cinerea)\n\nmobility.f.cunicularia<-subset(mobility.formicine.ants,colony==\"f4\")\nmobility.f.cunicularia<-drop.levels(mobility.f.cunicularia)\n#str(mobility.f.cunicularia)\n\nmobility.f.fuscocinerea<-subset(mobility.formicine.ants,colony==\"f5\")\nmobility.f.fuscocinerea<-drop.levels(mobility.f.fuscocinerea)\n#str(mobility.f.fuscocinerea)\n\n\n#############statistcal analysis for Fig.1c\n#wilcox.test(ph~treatment,data=mobility.c.maculatus)\n#wilcox.test(ph~treatment,data=mobility.l.fuliginosus)\n#wilcox.test(ph~treatment,data=mobility.f.pratensis)\n#wilcox.test(ph~treatment,data=mobility.f.rufibarbis)\n#wilcox.test(ph~treatment,data=mobility.f.cinerea)\n#wilcox.test(ph~treatment,data=mobility.f.cunicularia)\n#wilcox.test(ph~treatment,data=mobility.f.fuscocinerea)\n\n\n\n######################################################################################################\n###################### Fig. 1 - figure supplement 1: crop acidity baseline ###########################\n######################################################################################################\n\n\n#############loading data for Fig.1 - figure supplement 1\nacidification.baseline<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708512\",header=T)#choose file: Supplementary Data Fig.1 - figure supplement 1.txt\n#str(acidification.baseline)\n\n#calculation of median values and confidence intervals of predictor status (two levels:satiated and starved) and worker caste (two levels: minor and major)\nph.summary.acidification.baseline<-ddply(acidification.baseline,c(\"status\",\"caste\"),summarize,\nN=length(ph),\nmedian=quantile(ph,0.5),\nlowerCI=quantile(ph,0.025),\nupperCI=quantile(ph,0.975))\n#ph.summary.acidification.baseline\n\n\n\n######################################################################################################\n###################### Fig. 1 - figure supplement 2: acidopore grooming ##############################\n######################################################################################################\n\n\n#############loading data for Fig. 1 - figure supplement 2\nacidopore.grooming<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708513\",header=T)#choose file: Supplementary Data Fig.1 - figure supplement 2.txt\n#str(acidopore.grooming)\nfood.treatment1<-factor(acidopore.grooming$food.treatment,levels=c(\"unfed\",\"water\",\"honey\"))#reorder factor treatment\n\n\n#############statistcal analysis for Fig. 1 - figure supplement 2\nm.grooming<-glmer.nb(groomingevents~food.treatment+(1|colony),data=acidopore.grooming)\n#summary(m.grooming)\n\n#model validation\nres.m.grooming<-simulateResiduals(fittedModel=m.grooming)\n#plot(res.m.grooming)\n\n#significance of predictor food treatment (three levels: unfed, water, honey)\nm.grooming0<-glmer.nb(groomingevents~1+(1|colony),data=acidopore.grooming)\n#anova(m.grooming,m.grooming0)\n\n#post-hoc comporisons of predictor-levels food treatment\nm.grooming.glht<-glht(m.grooming,linfct=mcp(food.treatment=\"Tukey\"))\noutput.m.grooming.glht<-summary(m.grooming.glht,test=adjusted(\"Westfall\"))\n#output.m.grooming.glht\n\n\n\n\n######################################################################################################\n############################### Fig. 1 - figure supplement 3: pH midgut #############################\n######################################################################################################\n\n\n#############loading data for Fig.1 - figure supplement 3\nph.midgut<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708514\", header=T)#choose data: Supplementary Data Fig.1 - figure supplement 3.txt\n#str(ph.midgut)\n\n\n#############statistcal analysis for Fig.1 - figure supplement 3\nm.ph.midgut<-lmer(ph~gutregion+(1|colony),data=ph.midgut)\n#summary(m.ph.midgut)\n\n#model validation\nres.m.ph.midgut<-simulateResiduals(fittedModel=m.ph.midgut)\n#plot(res.m.ph.midgut)\n\n#significance of predictor gutregion (five levels: crop, midgut.position1, midgut.position2, midgut.position3, midgut.position4)\nm.ph.midgut0<-lmer(ph~1+(1|colony),data=ph.midgut)\n#anova(m.ph.midgut,m.ph.midgut0)\n\n#post-hoc comporisons of predictor-levels position \nm.ph.midgut.glht<-glht(m.ph.midgut,linfct=mcp(gutregion=\"Tukey\"))\noutput.m.ph.midgut.glht<-summary(m.ph.midgut.glht,test=adjusted(\"Westfall\"))\n#output.m.ph.midgut.glht\n\n#calculation of median values and confidence intervals of predictor position \nph.summary.midgut<-ddply(ph.midgut,\"gutregion\",summarize,\nN=sum(!is.na(ph)),\nmedian=quantile(ph,0.5,na.rm=TRUE),\nlowerCI=quantile(ph,0.025,na.rm=TRUE),\nupperCI=quantile(ph,0.975,na.rm=TRUE),\nmean=mean(ph,na.rm=TRUE),\nsd=sd(ph,na.rm=TRUE),\nlength=length(!is.na(ph)),\nse=sd/sqrt(length))\n#ph.summary.midgut\n" }, { "type": "Paragraph", "content": [ "To reveal whether formicine ants swallow their acidic poison during acidopore grooming, we first monitored acidity levels in the crop lumen of the Florida carpenter ant ", { "type": "Emphasis", "content": [ "Camponotus floridanus" ] }, " after feeding them 10% honey water (pH = 5). We found that after feeding the crop became increasingly acidic over time, reaching highly acidic values 48 hr after feeding (median pH = ", { "type": "CodeExpression", "duration": 0.002, "output": 2, "programmingLanguage": "r", "text": "ph.summary.c.floridanus[3,3]" }, "; 95% CI: ", { "type": "CodeExpression", "duration": 0.002, "output": "1.5", "programmingLanguage": "r", "text": "myround(ph.summary.c.floridanus[3,4],1)" }, "–", { "type": "CodeExpression", "duration": 0.004, "output": "3.4", "programmingLanguage": "r", "text": "myround(ph.summary.c.floridanus[3,5],1)" }, "), whilst renewed access to food after 48 hr raised the pH to levels recorded after the first feeding (", { "type": "Link", "target": "#fig1", "content": [ "Figure 1a" ] }, "; LMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.027, "output": "315.18", "programmingLanguage": "r", "text": "myround(anova(m.acidification.c.floridanus,m.acidification.c.floridanus0)[2,6],2)" }, ", df = ", { "type": "CodeExpression", "duration": 0.033, "output": 3, "programmingLanguage": "r", "text": "anova(m.acidification.c.floridanus,m.acidification.c.floridanus0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.022, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.acidification.c.floridanus,m.acidification.c.floridanus0)[2,8],3))" }, "; Westfall corrected post-hoc comparisons: 0+4 hr versus. 48h+4 hr: p=", { "type": "CodeExpression", "duration": 0.003, "output": "0.317", "programmingLanguage": "r", "text": "myround((output.m.acidification.c.floridanus.glht$test)$pvalues[3],3)" }, ", all other comparisons: p", { "type": "CodeExpression", "duration": 0.009, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval(myround((output.m.acidification.c.floridanus.glht$test)$pvalues[2],3))" }, "). We also found that crop pH levels of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants were highly acidic in workers taken directly out of a satiated colony (", { "type": "Link", "target": "#fig1s1", "content": [ "Figure 1—figure supplement 1" ] }, "; major workers: median pH = ", { "type": "CodeExpression", "duration": 0.002, "output": 2, "programmingLanguage": "r", "text": "ph.summary.acidification.baseline[1,4]" }, ", 95% CI: ", { "type": "CodeExpression", "duration": 0.003, "output": "2.0", "programmingLanguage": "r", "text": "myround(ph.summary.acidification.baseline[1,5],1)" }, "–", { "type": "CodeExpression", "duration": 0.002, "output": "3.0", "programmingLanguage": "r", "text": "myround(ph.summary.acidification.baseline[1,6],1)" }, "; minor workers: median pH = ", { "type": "CodeExpression", "duration": 0.003, "output": 3, "programmingLanguage": "r", "text": "ph.summary.acidification.baseline[2,4]" }, ", CI: ", { "type": "CodeExpression", "duration": 0.002, "output": "2.5", "programmingLanguage": "r", "text": "myround(ph.summary.acidification.baseline[2,5],1)" }, "–", { "type": "CodeExpression", "duration": 0.003, "output": "3.5", "programmingLanguage": "r", "text": "myround(ph.summary.acidification.baseline[2,6],1)" }, ") and in worker cohorts that were satiated for 3 d and then starved for 24 hr before measurements (majors: median pH = ", { "type": "CodeExpression", "duration": 0.002, "output": 2, "programmingLanguage": "r", "text": "ph.summary.acidification.baseline[3,4]" }, ", 95% CI: ", { "type": "CodeExpression", "duration": 0.002, "output": "2.0", "programmingLanguage": "r", "text": "myround(ph.summary.acidification.baseline[3,5],1)" }, "–", { "type": "CodeExpression", "duration": 0.003, "output": "3.0", "programmingLanguage": "r", "text": "myround(ph.summary.acidification.baseline[1,6],1)" }, "; minors: median pH = ", { "type": "CodeExpression", "duration": 0.003, "output": 2, "programmingLanguage": "r", "text": "ph.summary.acidification.baseline[4,4]" }, ", CI: ", { "type": "CodeExpression", "duration": 0.002, "output": "2.0", "programmingLanguage": "r", "text": "myround(ph.summary.acidification.baseline[4,5],1)" }, "–", { "type": "CodeExpression", "duration": 0.003, "output": "3.0", "programmingLanguage": "r", "text": "myround(ph.summary.acidification.baseline[4,6],1)" }, "), suggesting that under natural conditions an acidic baseline pH in the crop lumen is maintained following perturbation thereof through ingested fluids." ] }, { "type": "CodeChunk", "id": "fig1a", "caption": [ { "type": "Heading", "depth": 3, "content": [ "Acidification of formicine ant crop lumens through swallowing of acidic poison gland secretions." ] }, { "type": "Paragraph", "content": [ "(", { "type": "Strong", "content": [ "a" ] }, ") The pH of crop lumens at 4 hr, 24 hr, and 48 hr after feeding ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants 10% honey water (pH = 5) at 0 hr and at 4 hr after re-feeding ants at 48 hr (LMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.021, "output": "315.18", "programmingLanguage": "r", "text": "myround(anova(m.acidification.c.floridanus,m.acidification.c.floridanus0)[2,6],2)" }, ", df = ", { "type": "CodeExpression", "duration": 0.024, "output": 3, "programmingLanguage": "r", "text": "anova(m.acidification.c.floridanus,m.acidification.c.floridanus0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.023, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.acidification.c.floridanus,m.acidification.c.floridanus0)[2,8],3))" }, ", same letters indicate p=", { "type": "CodeExpression", "duration": 0.002, "output": "0.317", "programmingLanguage": "r", "text": "myround((output.m.acidification.c.floridanus.glht$test)$pvalues[3],3)" }, " and different letters indicate p", { "type": "CodeExpression", "duration": 0.002, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval(myround((output.m.acidification.c.floridanus.glht$test)$pvalues[2],3))" }, " in Westfall corrected post hoc comparisons). " ] } ], "duration": 0.209, "label": "Figure 1a", "outputs": [ { "type": "ImageObject", "contentUrl": 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dx89CoKAABKX1aK6YteMsn8ElJrKe3GKP1nqYvH/f2zxs3XOHoRq/2oVTnizDp1xUTb7gMixWgY/h1v0NX03WBKvG4Y+jWr28a6BCnkzdPy1lmZcltmpzKjK7n7scr1eWA7cvGypaR7qXfCtc3/E5d33e8SPTcfpd2zSufnycnGpn8AAADrSCkTr8v4SMrLIiJydmcVA5lfLWKstCszJ67s1VZMkunmd4sXyeii9HwNJ6gBAAAAAOgLjSkWefPNNz/44AOzwZkzZ06fPt0R282aNatg8ueffz5p0iRHbFd21a9f/8qVf7x/37Bhw3PnzumVj8YUAIB7tP3ztXX/sT+Hh/YyjFpgfw4AADw4ZOwl07x+lJthcwKv18Ewdqk4v0ld9jzl/37q5mucuIH517YqTVzdry4ZT1nJxU/Nh3lUMIycz2q1VH+eKo6tICLiBqXfu0q7MZYsl3ER2oEfZPhWmRZXyGPFyAPb8eYDebMB1r14nZuhrp0hTqwmKSz8FMrj/+HNB1qxBQAAgJXElb3i3IZCf+ox76ospCdv3JcHti+V2oqUl6Xt/Ubb/XUxh6IxzpsPVHpOYz7VSqoyAAAAAIDyAo0pFklKSmrSpElMTEz+QYPBsGnTpm7duum7144dO3r37m0y/eMlv6ZNmx47dsxgMOi7V5m2cePGvn37mg1+/fXXEyZM0GsLNKYAABARZaflfdjW2n/hK4ph3Cper4MuUQAA8IAQEXvUxc/Z1pvCajQzjl0ik2NMX/UnU7b508qPGCeut/YUEJl4Xfv1DRGxx8L5PLib0v995uajLn9RhG/N/8jw1Ie8zYj77ZUWp239SBxfdb/jTP7EqgYrfabzR7pYUpVMuqEuHC3jLlsyOT+l4zil7wziDjndEwAAyjMZfULdOEtGHS52JqvZwtB3OqvTugSqskJOmri0U1zYLK7up8ykv8ed3HitFiy0Fw/pwXwCSq8+AAAAAICHGRpTLHXgwIHOnTur6j+u7nZyclq4cOHQoUP12mX58uWjR4/Oy8vLP6goytGjR5s3b67XLg+ByMjIVq1aJSUl5R/09fWNiYlxc3PTaxc0pgAAEJG26X1t15d6pbGazY0v2nUlEADAw0dKOWXKlNKuwkbNmjUbMmSIknBVXTRGJt2wai1v/i/DwE9k0k31+6dl6p1C5yhhL/Mer86ZM8fsPYGiBAQEDB8+vHLlyuLKPm3bbHnjeJHHjTDO6rRWuk/hge1k7EV12Qsy9lKB7Y3G51bmBTT76KOP8l9I2rFjx/79+9ON4+pPY2VGgiWF/R3Z+f+U3m9evxH93Xff5eTkmD318vKaPHmyZ2686asn//FvZtbgjfoahn97+MjRVatW2ZZQYoYNG9aiRYvSrgIAAIojVO33d7QD1px/yZjSaYLS+80HtFcyK1lmp5LQyNmDeVUu7WoAAAAAAB5+OIHDUu3bt585c+Ybb7yRfzAvL2/48OEHDx7873//6+fnZ09+cnLy22+//eWXXxZsFXrjjTfQlZLfypUrX375ZbOuFCJ67bXXdOxKAQAAIiIpxHE9/01LRp+UcRGscn0dMwEAHgJXr14t7RJsdPXq1XPnzr355ps+L23Wts/RDi0iNa/YVcy3htLrdd5sgLi8S136POWkFTVT2/cdbzuqc+fO77zzjoX1XLhw4dtvvzXWbsn/7zeZFicvbhNRh2XiDcpKIsbIzZf51+F127CQ7syjoky9o656RZz8ufAjTzSTuux552n727dv/9lnn90ba9u2bf/+/eXp39TVr1jyYc0jd38l467UHvH9U0899d577wnxd9+MoigfffSRl1Gavh1lc1cKEYlzG7QtH7Xp9fqpU6c2bdpkc04JSE9PL+0SAACgONlp6pJx4spe61ZJqe35WsZFGIZ9Tc4ejqnMDm6+zM23tIsAAAAAAChH0Jhihddeey0iImLhwoX5B6WU8+bNW7Zs2fTp00eNGuXv729tbFJS0k8//TRz5syCnRZENHHixJkzZ9pe9MMiKyvrwoULBw4cWLFixZEjRwpOGD9+/GuvvVbyhQEAPNxk9CmZflffTBG+RUFjCgDAQ+TSpUszZsyYOHFi/SfeUbpPkbGX5N0rMvG6vHtVRB2k7HxNJ4yzms150/5K6+Gk5Wmb/6ftnlfMJTh5WWL//Ga93/Tx8UlJSbGknsGDBxuZMH3ajVUJ5qE9eKO+vPVw80mZiSJ8mxa+RVzeTWrufdJkWpy299suYa+sW7cuKiqqTp06r7zyiow6pK56mTTTfRbeh7i4TV3zasunPx85cuSiRYv+Gg8LCwsKClIXjZLxUbYl/0XbNZfVbDFixIh9+/ZlZNhyyxIAAAARkVDVxf8WV/fbuPrSDnXxc4Znlzyg56YAAAAAAEBJQWOKFRhjCxYsaN68+SuvvGJ2p09ycvKUKVNef/313r17Dxo0qHXr1vXq1WOMFRUlpYyMjDx69OiqVas2bdpkdnfPXyZPnjx79mydP0YZMWLEiJiYmOzs7NTU1Li4uPznZhc0cODAr776ypJYTdM++eQTC2u4cOGChTMBAB5W4vJO/TMv7lC6TNQ9FgCgjLp79+6xY8dKuwobOTs7d+vWrU2bNg0bNlQUhYRGmom8KvGKgeTqTVwhKWR8pLwdLhOvM/9arF575lGRTNna0aVi+xwLL8ER5zYofd5q1arV1q1bi53s5uYWFhamHVwgE67JhGvi/EbiCvOpzvxqkJsvSUlZyTL5pkyOKfKKnwK0Pd8o7Z7t3bv3V199NWnSJOfseNPi52zuSvnjQ51YrVUNHjBg/MGDByMiIojIycnpmWeeEZEHRfg2e5L/IKW24V2PybsGDRpk9nLFA+X48eP+/v6NGjUq7UIAAKBw6toZNnel3CMi9mgb31Mef1uvkgAAAAAAoCxiBS+OgWLt3bt30KBBd+/e7w1yT0/PJk2aBAQEeHt7e3t7u7u7Z2Zmpqampqam3r59+8yZM2lpRZ5WfU+NGjXGjRt3n+4WS4wYMaJmzZr2JJSWGjVqWHKLfJUqVT744INRo0ZZ+AeVl5fn7OxsT2HZ2dkuLi72JAAAlCHqT2PFeb2vAHD1dnr3os6ZAABl0759++bMmWPW9V4mKIoSFhY2dOhQP19feeucCN8iLm6XsZf+btcwOLEqDXhwdx7SkwU0JJIyPV5e3iUubBYRe8mUbdV2xim7j15PnjVrVrEzO3bs+Oqrr5o+7yFvnbfhcxXFMHhOWr2eCxYsmDx5sm4/HA3Oxmn7w2+l3Lsxtm/fvuPHjTN90UveOqdD+L0dBnygthgyatSozMxMvTIdoWPHjlOnTrXzyy8AAOhOROxW5w/VJcowfjUPbK9LFAAAAAAAlEU4McUiVatWNRvJysq6/5L09PT9++16n+DmzZszZsywJ4GIOnToUEYbUywxbNiwb775xsPjwbunFgDgYSHT4/UPzU4lNZcMdrUJAgA8BDIyMubOnVsWu1L8/f3ffPPNoKAgcXW/acl7MuZsIZPUPBlzVos5q22bzWo0U/q8xQPbUcV6MvqUtV0pRCSjT9ap09WSma1bt5Ypt+Rtnc8+FBe2+LR8etSoUfLGCXFhsz6haq629ZPQwXOaN29++vTprl27ypgzOnalEJF2eLFT21EtW7bcs2ePjrG627dvX/PmzcPCwkq7EAAAyEcKbdP7eoVpm/7HX1hH6EEEAAAAACiveGkXUDbEFoBbuh8Ey5cvHz58+IEDB0q7EACAh5ea65BYk2NiAQDKlIsXL+bk5JR2FVYLCgqaPXt2UPVK6qJR6neDC+9K+Sd585T67UD1p3+zykGGiRtZQENrN5WJ1ytWrMh58V9gQ0JC5JV9pPfJoOLKPpLC399f2zVXx3Bx+jeZlTxhwoTFixcHBQWJ8C16Jd8j74TLpOjWrVvrG+sIp06dKu0SAADgH8T5TToePyajTzjiolgAAAAAACgr0JgCZZgQYu3atR06dBgyZEhcXFxplwMA8DAyujok1skxsQAAZUpZ7EqpW7furFmzfLVk05d9Rfg2q9aK8xtNXz5BWp5xwi+s8iPWbZyTzhgr9kpNJycnf39/efeKdeGWyMuUqXdIqCJCt6NHeMPexpe3MTffyh6KR+wpIhIXt+sV/hdxaUfTpk11j9VdWfx/BwCAh5s4+7vegev1DQQAAICHipQy9Y6MuyzjLsvUWN1fOAGAUoerfOAB9eijj9auXZuIhBBpaWkpKSmxsbFFnXO+YsWK/fv3//bbby1atCjRKgEAHnbMp6ru3wCYZyVSjHqnAgCAw/n4+Lz11lvOmbGmr56kzCQbEuTdK+q8foaJGw1jFpnm9rUihHMiEkLcf5a7uztjTNpUW/EyEiVXdDlLjHlUVIZ9zQPbyVvn1R+GiYg9SteJSmA7GRdhf7gZeeeiRzsPHx+flJQU3cMBAOChpZnE5V36RoqL20hoxBV9YwEAAKBMk6mxMnyzOL9ZXD9KpnxvLDi58bpteEhPFtKDeVUuvQIBQDdoTIEH1C+//GI2kp2dffLkya1bt37//fd37twxexoTExMWFnbo0KHg4OCSqhEA4OHHqjWi02t1zrT+BgcAAHgQvPrqqxU9XUzzBtnWlXKPzEhQF402vrDWMORLdf5QS5e5+aqqmptbTFOIwWAgIhKFt7PbS5goO93+GFYt1DB6EXPxUle+JE6uISmIiNwryMwk0kz255tLiyUiNKYAAIBVZMxZytHhp94/ZCbJ2EusWqjOsQAAAFA2ybQ4bfun4ujywr/F52WJSzvFpZ20drrSejjv9grzqFDiNQKAntCYAmWGq6tr+/bt27dvP3369Dlz5syYMSMvLy//hNTU1H79+p07d+4+R3wbjcbjx49buON//vOfjRs32lU0AEAZx0O6axvf0zuzh76BAABQAtq2bduoUSN1xST7T/WQd8LV398x/Otj3iBMXNphyRJWIfD2nTuyuIN8/7gOxsndzgoL5+xBWcnFzmKV67NK9ZlnRXJyIy1PZibJ+Eh56/y9X7Sx6k2ME9bIjHjTvH4y7vLfq4wu/3gzTEd52UTk7OzskHAAAHhIyYQoh8TGR6IxBQAAAIhIHFmq/v425WUVP1UzaQcXaidWGwa8z5sPdHxpAOAoaEyxyPTp00u7BBvVqlWrtEvQn9FonDZtWvv27bt3756dnZ3/0dWrV7/44otp06YVtZYxZvl1P35+fnYVCgBQ9rFKQaxioIyP1C+RseDuuqUBAECJ4JwPHz5c3gkXp8zPNbSNOLZCth+r9HlTROwmoRUzm3FWr93lw2eKjc3IyMjJyTH61dClyH/WwJhvdRF7qcjndVrzRo/z0J7Mt3ohj7NTxaUdIvKw0mOyTI01fdXP7NQZacphxiLb6+3i5EpExR42AwAAkJ/MTnVIbjaO7wIAACj3hKZt/p+2e551q3Iz1BWTlJizyuNv42ZAgDIKjSkWmTlzZmmXAObat2+/YMGCIUOGmI3PmTNn6tSpnPNSqQoA4OHD247W1s3QLS20F/OuqlcaAACUjJYtW9aoUUP9Ydgf987YT2jalg8NoxbyoE7i8q77z2W1WjCPiocPHy42VUp548aNoBpN9Skyfw2V6pOTu0y5Xcij6o2VPtN5vQ6Uky4u79I2/0/ePi9T71BOOhldmWdFVvkR3qArC+lpaPYUZaeZvi3sLqTMBObuR4pR/9t8vKoQEe7xAQAA6xR3SpmtsTr9RQIAAADKLHXNq+LYCtvWavvnk9CU/rP0LQkASgYaU6AMe+aZZ7788ssDBw7kH4yNjd2zZ0+XLl1KqyoAgIeM0nakOPCDTLyuQxZXlF6v65ADAPDwal3XP8DHrbSrMNe+b5jMSBARe3TMFBe3U2YSD+1VbGMKb9xPNeXVZonVmxd/FErWrQjeuTe5+Vpy7Y7leMNeRCSTov8xqhgN/d7lbUbJ9Lvqz1PFidXmbSWmbJkULZOixcVt/NY5w8BP1FUvFXoOmYy7QtzAKteXty/oWDYRsarBudmZXet6Ennqm2yP307dFI75F08AANAFc3HMTw0Xb4fEAgAAQBmh7fvO5q6UPxIOLmRVGvA2I/QqCQBKDBpToGybPHmyWWMKEe3btw+NKQAAulGMyhPvqD+Osf+dOaX9WFYpSJeiAAAeVp3qV2pXr2JpV/FPjCmhTcSpX3V+y1lo4tIOFtKDfn39Pj9imE+A0ma4vBM+5NEAS1KZSyJxA2/QVZxco1+txEN6EEnmVfnvITdfw4jved222s4vtJ1fkCm76NVERhel22QZdUhc2FLocxG5nzQTD+6u6d2YwhuEOaXeHNGujr6xdlp3OkY46F18AADQA/N3yOXgrEJtR8QCAABAmSBvX9A26HBDhbp2ujGwHasYaH8UAJQkXHcCZVtYWJiimF8md+7cuVIpBgDgYcVDeihhL9sbEthe6fOWLvUAAEBJYu7+5OSm73Ep94iI3cyrMqtQ9z5zlJ6vEuMi6pCFmTIjQWYkKJ0mENPt2y6r25bVaCazUni9jn8MuXoZ/+83XqOpuvg5bcuHxXSlEPEWg5l3VXX9f4uckZ0mrh3hoT31qvkeVi2U+dWUd6/qGwsAAA89Vr0JGZx1DnVyZ1VDdM4EAACAskPbMJOEpkeQSdv0vg45AFCycGIKlG3e3t7169e/ePFi/sHo6Oii5gMAgG2U7lNlwjVx+jfblrPK9Q0jviPFqG9VAABQEtx9iUjejdA9WMZFEBGrULfQ222IiDd6nDcfJKIOUm6mFbFX9/Om/XmzAfocmsKYofeblJ0qb53j9Towr8oyI8Ew7BvmW8P07SAZfcKSDN6or7x9XsacuV/Z5zfxJ99jAY0oLY6F9OC1WrCKgeTiSYoT5aTJlFvyzkVxcZu8dc7yM8yU1sNJqDLhmoXzAQAA/uDkxoM6iYvbdIzkDbrq3+wCAAAAZYSIPCiu7NUt7fwmefMUq9FMr0AAKAFoTIESFRcXl5GRkX/ExcUlIMCiQ7mLUqlSJbPGlPT0dHsCAQCgEIwZhszT/GtrOz+39k4f3qCrYehX5OLloNIAAMCxjK5EJDMS9U/OSCAicvcr9CGrFmp4+jOZckteO2pVqrx7VabcUnq/KS7vpkx7y+athrFaLcTZ32VaHAV14o36kndVHvSYuvwFC7tSyMWL122j7fj8/rO04yt5j6nG8T+TszsxLpOiZXwkJceQlkfOnsyvFg/urnSfIlNui9O/arvnUVbK/QNZxbq81VAZfZLUXAs/LAAAwF94w946N6Y07K1jGgAAAJQt4tQvegf+qqAxBaBMQWMKlKjp06fPnz8//0iTJk1Onz5tT6a3t7fZSE5Ojj2BAABQOMaUntNY9cba7+/IJMvOpnL2ULq8qHR+gbj5tWsAAFBmMIWISMvTPViqeUREBqdC9qzV0jDqB1LzxOnfbDjpV4Zv462GGkf9YPp2EGkmmytktVsZ+s+Sd6/K2MtEJBOv87CXmau3dmiR5aeI8bptSDGKSzvuNyeoo9JnBnPzlTFnxOm14sJmmXjdfJKLJ3+kCw/trXQcp7Qeoe2aq+3/ntQi/nthTOn7NglNWNnWAwAAcA9v9hTb8ZmlX/2KwyoG8saP6xIFAAAAZY8U8uJ2fSPFhc3KE+8SY/rGAoDj6HbrNoAlqlWrZjZy8+ZNOzPT0tLMRvz9/e3MBACAovDQXsZX9ylPvMv8at1vnpuP0v5Z42sHla6T0JUCAFC2aSYiYk5uugczZw8iotwMs3H+6DPG8T8TMe3EajLZ0nQuMxLEuQ2s1qOGwZ/ZfJEcqxpsGDlfZqeKcxv+iI3YyzwqUF62tvUTK3Iq1SMpZNzlIh4zpfMLhn+vICdXdcl409w+2t5vCulKIaKcdHFmnbrsedNH7cXFrUrvN40T1jDPSoWmKl0m8pDu4so+2/4AAQAAyOCk9HxNrzClz1vE8YYkAABAOSVvh8v0uzpnJsfIhCh9MwHAofB9AEpUwcaUpKSk9PR0T09PmzMTEhLMRipVKvyXswAAoA/FqHR8Tun4nIy9KC5slbfPy5RblJNOzu7MowKr3IA90pnXbYNfOwIAPCRy04mIfKpTWpzOyb7ViUim3vlrgNVoqvSZzgPbyYRr4ux6e+6gkfGR4vIu3rS/0aea6ad/W3unDw/tZRgylzRVO77qrzNXpJZHRNqerygr2YosjwqUnVp4g4jRxTDkS96wj3Zggfb7OyRUS/Jkcoy6YhI/vdYwdJ5h4kZ10Sh5+8I/m9aCAwAAIABJREFUim/UV+k5TcaclTFnrKgTAADgn3jTJ/np3+y/0Ic3epyH9tKlJAAAACiLZPxVh8TevcoqBjoiGQAcAf9iBCUqJCSk4ODhw4e7d+9uW2B2dvaVK1fMBtGYAgBQMliVYKVKcGlXAQAAjiUzEomIV2+sRZ/QN5lXb0xSyrgI5l2VhfTkDXvzeh0oN0Oc3yzvXCAp7cyX0SdFdipv1Nf40hZt0yxxei1JUewq5lFR6T6ZtxkpU26J02vJlP33o0r1SApxbIVVZTCjiyy0K4Uxw+DPeEgPdc00cWSJVZlEJC7tMH35hGHMj4axS9W5fWTK7XvjSqfxSp/pMvnW/S8PAgAAKB7jhqHzTPOelLEXbc+oFmp4+jMdiwIAAIAyR2YmOSTXyldQAKB04SofKFFNmjRhBe5727Vrl82BBw8ezM01f42yYcOGNgcCAAAAAMA/5GbI9LsstKfuwTykJ+VlGl/aanzrhGHA+6zKI+LKHm3/D/L2efu7Uu6R8ZHi6DIiMgyZZ5y0iTd9klyKPKyRVQpSerxqfO0Abz1MXj8mjq/K35VCRKxiPRl9ytrzh6UphxldCo4rYa/wJv20dW/b0JXyR/LdK+r3zzCuGEb/SE5uzKOiYciXyuNvy7jL4uQaEpptsQAAAH9z9jCM+ZFVrm/balY12DDmJ3LAhYAAAABQlmh5ZSkWABwDJ6ZAifLy8goODg4PD88/uHz58pkzZyqKYkPgkiWF/A63d+/eNtYHAAAAAAAFyLtXed225OJFOWm6hbr5stotZU46ZSSIOxdlQiRl6xeej8xIkEeXscpBvF5Hw9CvSTOJyAPy5mmZeIPysogx5lGBVarHgh5jFeqQlPLORXF1fyGflBuYT4B2dJnVFaQnkKs3GV3/cfhKzRZK9yni8E/awYV2fbqkaHXp84axS43jVrEqj5DBWUTskdeP2ZMJAACQH/Otbnzhd3XZ/1l7Fhdv2NvwzBfk5O6gwgAAAKCsYM4eDsl1UCwAOAYaU6CkPf7442aNKdevX//ll18GDRpkbdSNGzeWLl1qNlizZs1CLwwCAAAAAAAbxUVQYDul3Wht5xd6RSodxhJTxMlfKCtZr8z7kHFXtLgrzKsyq1iPVQnm9ToSz9cZn5clU26J85tkfJTZKSl/YW4+xJiMvWT11nevEOOsarCMPvnXoNL7dZkWq/7+jtWfpABxdb92cJHS8Tl594q4tEvP5iEAAIB7XDwNY34UJ1ZrWz/+6/K4+2C+NZRer/GmA6jAwckAAABQHvlWd0Qq86vpiFgAcBA0pkBJGzhw4EcffWQ2OHXq1LCwMD8/P8tzVFUdNWqUyWQyG3/66aftLREAAAAAAPKRGQky9pLS5UVxdJnMSLA/kHlUUDqOk7cvlExXyl9kWpxMi6PIA8QYObmTYiApyZRNqgXH/zq5EZG19/gQkYg8SGoubxCm/dmYwoO788D26sqXyJRjbVqhtB2fKY8+TUJDVwoAADgK47zl07xpf3FsuTi3UUQdJqGaz1GMvG5b3qgvb/k0GZxKo0oAAAB4EPGARsQVnS+cVYysSrCegQDgYGhMgZL26KOPtm3b9tChQ/kHo6Ojhw4d+uuvv7q6uloSoqrq888/v2fPHrNxLy+v1157TbdaAQAAAACAiIjElX1K+2eVPm+pq16xP0154l0yuojIA/ZH2UhKys2wboliICJbWknyMkXkQR7aS9v68b0B3nqYTLgmTq4xm8g8KrLQHrxuW1ahLrn7EjeQm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} ], "programmingLanguage": "r", "text": "#' @width 50\n#' @height 35\n\n#addition of median values per time since feeding into the data.frame as a new variable\nacidification.c.floridanus2<-acidification.c.floridanus%>%group_by(time)%>%mutate(medianph=median(ph))\n\n#definition of universal ph indicator colors: 1-6\nph.colors.rgb1<-c(\n\"202 58 67\",\n\"235 81 42\",\n\"252 125 19\",\n\"253 190 2\",\n\"254 250 0\",\n\"235 230 54\"\n)\n\n#transformation of RGB colors into hex colors\nph.colors.hex1<-sapply(strsplit(ph.colors.rgb1, \" \"), function(ph.colors.rgb1)\n rgb(ph.colors.rgb1[1], ph.colors.rgb1[2], ph.colors.rgb1[3], maxColorValue=255))\n\n#plotting of Fig.1a\nfig.1a<-ggplot()+\ngeom_boxplot(data=acidification.c.floridanus2,mapping=aes(x=time,y=ph,fill=medianph),colour=\"grey30\",lwd=1.5,outlier.shape=NA,alpha=0.5,width=0.4,coef=0)+\nscale_fill_gradientn(colours=ph.colors.hex1,breaks=c(1,2,3,4,5,6),limits=c(1,6.5),guide=FALSE)+\ngeom_point(data = acidification.c.floridanus,mapping=aes(x=time,y=ph,fill=ph),pch=21,color=\"white\",position=position_jitter(width=0.1),size=6.5,alpha=1)+\nscale_x_discrete(name=\"Time after feeding\",labels=c(\"0h+4h\",\"0h+24h\",\"0h+48h\",\"48h+4h\"))+\nscale_y_continuous(name=\"pH-value\",limits=c(1,6),breaks=c(1,2,3,4,5,6))+\nannotate(\"text\",x=c(1,2,3,4),y=c(5.5,4.4,4,5.5),size=14,label=c(\"a\",\"b\",\"c\",\"a\"),fontface=2)+#statistical significance \nannotate(\"text\",x=c(2.5),y=c(6),size=16,label=c(\"***\"),fontface=2)+\nlabs(tag=\"a\")+\ntheme(axis.line = element_line(colour = \"black\",size=1.5),\n axis.ticks=element_line(colour=\"black\",size=1.5),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=35),\n axis.text.y=element_text(colour=\"black\",size=35),\n axis.title.x=element_text(colour=\"black\",size=40,margin=margin(20,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=40,margin=margin(0,22,0,0)),\n plot.tag=element_text(colour=\"black\",size=60,face=\"bold\"),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key.height=unit(4,\"cm\"),\n legend.key=element_blank(),\n legend.position=\"right\")\nprint(fig.1a)" }, { "type": "CodeChunk", "id": "fig1b", "caption": [ { "type": "Heading", "depth": 3, "content": [ "Acidification of formicine ant crop lumens through swallowing of acidic poison gland secretions." ] }, { "type": "Paragraph", "content": [ "(", { "type": "Strong", "content": [ "b" ] }, ") The pH of crop lumens in ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants that were either prevented to ingest the formic acid containing poison gland secretion (FA-) or not (FA+) for 24 hr after feeding (LMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.02, "output": "44.68", "programmingLanguage": "r", "text": "myround( anova(m.mobility.c.floridanus,m.mobility.c.floridanus0)[2,6],2)" }, ", df = ", { "type": "CodeExpression", "duration": 0.021, "output": 1, "programmingLanguage": "r", "text": "anova(m.mobility.c.floridanus,m.mobility.c.floridanus0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.021, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( format_pval(myround(anova(m.mobility.c.floridanus,m.mobility.c.floridanus0)[2,8],3)))" }, "). " ] } ], "duration": 0.03, "label": "Figure 1b", "outputs": [ { "type": "ImageObject", "contentUrl": 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} ], "programmingLanguage": "r", "text": "#' @width 50\n#' @height 30\n\n#############plot fig.1b\n#calculation of median values and confidence intervals of predictor ant manipulation\nph.summary.mobility.c.floridanus<-ddply(mobility.c.floridanus,\"treatment\",summarize,\nN=length(ph),\nmedian=quantile(ph,0.5),\nlowerCI=quantile(ph,0.025),\nupperCI=quantile(ph,0.975))\n\n#addition of median values per ant manipulation into the data.frame as a new variable\nmobility.c.floridanus2<-mobility.c.floridanus%>%group_by(treatment)%>%mutate(medianph=median(ph))\n\n#definition of universal ph indicator colors: 1-6\nph.colors.rgb1<-c(\n\"202 58 67\",\n\"235 81 42\",\n\"252 125 19\",\n\"253 190 2\",\n\"254 250 0\",\n\"235 230 54\"\n)\n\n#transformation of RGB colors into hex colors\nph.colors.hex1<-sapply(strsplit(ph.colors.rgb1, \" \"), function(ph.colors.rgb1)\n rgb(ph.colors.rgb1[1], ph.colors.rgb1[2], ph.colors.rgb1[3], maxColorValue=255))\n\n#plotting of Fig.1b\nfig.1b<-ggplot()+\ngeom_boxplot(data=mobility.c.floridanus2,mapping=aes(x=treatment,y=ph,fill=medianph,colour=treatment),outlier.shape=NA,lwd=1.5,alpha=0.5,width=0.6,coef=0)+\nscale_fill_gradientn(colours=ph.colors.hex1,breaks=c(1,2,3,4,5,6),limits=c(1,6.5),guide=FALSE)+\nscale_color_manual(values=c(\"grey70\",\"grey30\"),guide=FALSE)+\ngeom_point(data = mobility.c.floridanus, mapping=aes(x=treatment,y=ph,fill=ph),pch=21,color=\"white\",position=position_jitter(width=0.1),size=6.5,alpha=1)+\nscale_x_discrete(name=\"Treatment\",labels=c(\"FA -\",\"FA +\"))+\nscale_y_continuous(name=\"pH-value\",limits=c(1,6),breaks=c(1,2,3,4,5,6))+\ngeom_segment(aes(x = 1, y = 5.5, xend = 2, yend = 5.5),lwd=1.5)+\nannotate(\"text\",x=c(1.5),y=c(5.6),size=16,label=c(\"***\"),fontface=2)+#statistical significance\nlabs(tag=\"b\")+\ntheme(axis.line = element_line(colour = \"black\",size=1.5),\n axis.ticks=element_line(colour=\"black\",size=1.5),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=35),\n axis.text.y=element_text(colour=\"black\",size=35),\n axis.title.x=element_text(colour=\"black\",size=40,margin=margin(20,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=40,margin=margin(0,22,0,0)),\n plot.tag=element_text(colour=\"black\",size=60,face=\"bold\"),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key.height=unit(4,\"cm\"),\n legend.key=element_blank(),\n legend.position=\"right\")\nfig.1b" }, { "type": "CodeChunk", "id": "fig1c", "caption": [ { "type": "Heading", "depth": 3, "content": [ "Acidification of formicine ant crop lumens through swallowing of acidic poison gland secretions." ] }, { "type": "Paragraph", "content": [ "(", { "type": "Strong", "content": [ "c" ] }, ") The pH-value of crop lumens 24 hr after feeding in seven formicine ant species that were either prevented to ingest the formic acid containing poison gland secretion (FA-) or not (FA+). Wilcoxon rank-sum tests (two-sided). Lines and shaded boxes show the median and interquartile range; points show all data. Colors in shaded rectangles near the y-axis represent universal indicator pH colors. Color filling of shaded boxes correspond to the median pH color of x-axis groups and color filling of points correspond to universal indicator pH colors. The border of shaded boxes represents animal treatment (light gray: prevention of poison ingestion, FA-; dark gray: poison ingestion not prevented, FA+)." ] } ], "duration": 0.057, "label": "Figure 1c", "outputs": [ { "type": "ImageObject", "contentUrl": 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} ], "programmingLanguage": "r", "text": "#' @width 80\n#' @height 50\n\n#############plot fig.1c\nmobility.formicine.ants$species2<-factor(mobility.formicine.ants$species,levels=c(\"maculatus\",\"fuliginosus\",\"cinerea\",\"cunicularia\",\"fuscocinerea\",\"pratensis\",\"rufibarbis\"))#reorder facotr species\n\n#calculation of median values and confidence intervals of predictor ant manipulation (two levels:FA- and FA+) and of factor species (six levels)\nph.summary.mobility.formicine.ants<-ddply(mobility.formicine.ants,c(\"species2\",\"treatment\"),summarize,\nN=length(ph),\nmedian=quantile(ph,0.5),\nlowerCI=quantile(ph,0.025),\nupperCI=quantile(ph,0.975))\n\n#addition of median values per ant manipulation into the data.frame as a new variable\nmobility.formicine.ants2<-mobility.formicine.ants%>%group_by(colony,treatment)%>%mutate(medianph=median(ph))\n\n#definition of universal ph indicator colors: 1-6\nph.colors.rgb1<-c(\n\"202 58 67\",\n\"235 81 42\",\n\"252 125 19\",\n\"253 190 2\",\n\"254 250 0\",\n\"235 230 54\"\n)\n\n#transformation of RGB colors into hex colors\nph.colors.hex1<-sapply(strsplit(ph.colors.rgb1, \" \"), function(ph.colors.rgb1)\n rgb(ph.colors.rgb1[1], ph.colors.rgb1[2], ph.colors.rgb1[3], maxColorValue=255))\n\n#plotting of Fig.1c\nfig.1c<-ggplot()+\ngeom_boxplot(data=mobility.formicine.ants2,mapping=aes(x=species2,y=ph,fill=medianph,colour=treatment),position=position_dodge(0.5),outlier.shape=NA,lwd=1.5,alpha=0.5,width=0.4,coef=0)+\nscale_fill_gradientn(colours=ph.colors.hex1,guide=FALSE,breaks=c(1,2,3,4,5,6),limits=c(1,6.5))+\nscale_color_manual(values=c(\"grey70\",\"grey30\"),name=\"Animal treatment:\",labels=c(\"FA-\",\"FA+\"))+\ngeom_point(data = mobility.formicine.ants, mapping=aes(x=species2,y=ph,fill=ph,group=treatment),pch=21,color=\"white\",position=position_jitterdodge(jitter.width=0.1,jitter.height=0.05,dodge.width=0.5),size=5,alpha=1)+\nscale_x_discrete(name=\"Species\",\nlabels=c(\nexpression(paste(italic(\"C. maculatus\"))),\nexpression(paste(italic(\"L. fuliginosus\"))),\nexpression(paste(italic(\"F. cinerea\"))),\nexpression(paste(italic(\"F.cunicularia\"))),\nexpression(paste(italic(\"F. fuscocinerea\"))),\nexpression(paste(italic(\"F. pratensis\"))),\nexpression(paste(italic(\"F. rufibarbis\")))\n))+\nscale_y_continuous(name=\"pH-value\",limits=c(1,6),breaks=c(1,2,3,4,5,6))+\ngeom_segment(aes(x = 0.875, y = 3.9, xend = 1.125, yend = 3.9),lwd=2)+\ngeom_segment(aes(x = 1.875, y = 3.9, xend = 2.125, yend = 3.9),lwd=2)+\ngeom_segment(aes(x = 2.875, y = 4.9, xend = 3.125, yend = 4.9),lwd=2)+\ngeom_segment(aes(x = 3.875, y = 4.9, xend = 4.125, yend = 4.9),lwd=2)+\ngeom_segment(aes(x = 4.875, y = 4.9, xend = 5.125, yend = 4.9),lwd=2)+\ngeom_segment(aes(x = 5.875, y = 5.4, xend = 6.125, yend = 5.4),lwd=2)+\ngeom_segment(aes(x = 6.875, y = 4.4, xend = 7.125, yend = 4.4),lwd=2)+\nannotate(\"text\",x=c(1,2,3,4,5,6,7),y=c(4.1,4.1,5.1,5.1,5.1,5.6,4.6),size=8,label=\nc(\nexpression(paste(italic(\"P\"),\" = 0.036\")),\nexpression(paste(italic(\"P\"),\" < 0.001\")),\nexpression(paste(italic(\"P\"),\" < 0.001\")),\nexpression(paste(italic(\"P\"),\" = 0.007\")),\nexpression(paste(italic(\"P\"),\" < 0.001\")),\nexpression(paste(italic(\"P\"),\" = 0.018\")),\nexpression(paste(italic(\"P\"),\" < 0.001\"))),\nfontface=1)+\nlabs(tag=\"c\")+\ntheme(axis.line = element_line(colour = \"black\",size=1.5),\n axis.ticks=element_line(colour=\"black\",size=1.5),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=30,angle=50,hjust=1),\n axis.text.y=element_text(colour=\"black\",size=30),\n axis.title.x=element_text(colour=\"black\",size=40,margin=margin(20,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=40,margin=margin(0,22,0,0)),\n plot.tag=element_text(colour=\"black\",size=60,face=\"bold\"),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=30),\n legend.text=element_text(size=30),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key.height=unit(4,\"cm\"),\n legend.key=element_blank(),\n legend.position=\"right\")\nfig.1c" }, { "type": "CodeChunk", "id": "fig1s1", "caption": [ { "type": "Heading", "depth": 3, "content": [ "Baseline acidity of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " crop lumens under satiated and starved conditions." ] }, { "type": "Paragraph", "content": [ "pH of crop lumens in ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " workers (light gray: major workers, dark gray: minor workers) that were either taken directly out of a satiated colony or that were kept in cohorts of ~100 individuals under satiated conditions for 3 d and then starved for 24 hr before measuring the pH. Lines and shaded boxes show the median and interquartile range; points show all data. Colors in shaded rectangles near the y-axis represent universal indicator pH colors. Color filling of shaded boxes correspond to the median pH color of x-axis groups and color filling of points correspond to universal indicator pH colors. Border of shaded boxes represents animal caste (light gray: major workers; dark gray: minor workers)." ] } ], "duration": 0.019, "label": "Figure 1—figure supplement 1.", "outputs": [ { "type": "ImageObject", "contentUrl": 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} ], "programmingLanguage": "r", "text": "#' @width 40\n#' @height 30\n\n#addition of median values per status and caste into the data.frame as a new variable\nacidification.baseline2<-acidification.baseline%>%group_by(status,caste)%>%mutate(medianph=median(ph))\n\n#definition of universal ph indicator colors: 1-6\nph.colors.rgb1<-c(\n\"202 58 67\",\n\"235 81 42\",\n\"252 125 19\",\n\"253 190 2\",\n\"254 250 0\",\n\"235 230 54\"\n)\n\n#transformation of RGB colors into hex colors\nph.colors.hex1<-sapply(strsplit(ph.colors.rgb1, \" \"), function(ph.colors.rgb1)\n rgb(ph.colors.rgb1[1], ph.colors.rgb1[2], ph.colors.rgb1[3], maxColorValue=255))\n\n#plotting of Fig.1 - figure supplement 1\nfig.1.figure.supplement1<-ggplot()+\ngeom_boxplot(data=acidification.baseline2,mapping=aes(x=status,y=ph,fill=medianph,colour=caste),position=position_dodge(0.5),outlier.shape=NA,lwd=1.5,alpha=0.5,width=0.4,coef=0)+\nscale_fill_gradientn(colours=ph.colors.hex1,guide=FALSE,breaks=c(1,2,3,4,5,6),limits=c(1,6.5))+\nscale_color_manual(values=c(\"grey70\",\"grey30\"),name=\"Worker caste:\",labels=c(\"Major\",\"Minor\"))+\ngeom_point(data = acidification.baseline, mapping=aes(x=status,y=ph,fill=ph,group=caste),pch=21,color=\"white\",position=position_jitterdodge(jitter.width=0.1,jitter.height=0.05,dodge.width=0.5),size=5,alpha=1)+\nscale_x_discrete(name=\"Animal feeding status\",labels=c(\"Colony:\\nsatiated\",\"Colony cohort:\\nstarved\"))+\nscale_y_continuous(name=\"pH-value\",limits=c(1,6),breaks=c(1,2,3,4,5,6))+\ntheme(axis.line = element_line(colour = \"black\",size=1.5),\n axis.ticks=element_line(colour=\"black\",size=1.5),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=30,angle=30,hjust=1),\n axis.text.y=element_text(colour=\"black\",size=30),\n axis.title.x=element_text(colour=\"black\",size=40,margin=margin(20,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=40,margin=margin(0,22,0,0)),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=30),\n legend.text=element_text(size=30),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key.height=unit(4,\"cm\"),\n legend.key=element_blank(),\n legend.position=\"right\")\nfig.1.figure.supplement1" }, { "type": "CodeChunk", "id": "fig1s2", "caption": [ { "type": "Heading", "depth": 3, "content": [ "Acidopore grooming frequency of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " after ingestion of different food types." ] }, { "type": "Paragraph", "content": [ "Frequency of acidopore grooming within 30 min. after fluid ingestion (water or 10% honey water) compared to ants that did not receive any fluid (unfed) (GLMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.004, "output": "33.526", "programmingLanguage": "r", "text": "myround(anova(m.grooming,m.grooming0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.004, "output": 2, "programmingLanguage": "r", "text": "anova(m.grooming,m.grooming0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.003, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.grooming,m.grooming0)[2,8],3))" }, ",same letters indicate p=", { "type": "CodeExpression", "duration": 0.002, "output": "0.634", "programmingLanguage": "r", "text": "myround((output.m.grooming.glht$test)$pvalues[2],3)" }, " and different letters indicate p", { "type": "CodeExpression", "duration": 0.002, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval(myround((output.m.grooming.glht$test)$pvalues[1],3))" }, " in Westfall corrected post hoc comparisons)." ] } ], "duration": 0.011, "label": "Figure 1—figure supplement 2.", "outputs": [ { "type": "ImageObject", "contentUrl": 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} ], "programmingLanguage": "r", "text": "#' @width 40\n#' @height 30\n\n############plot Fig. 1 - figure supplement 2\nfig.1.figure.supplement2<-ggplot()+\ngeom_boxplot(data=acidopore.grooming,mapping=aes(x=food.treatment1,y=groomingevents,fill=food.treatment1),outlier.shape=NA,lwd=1.5,alpha=0.2,width=0.4,coef=0)+\ngeom_point(data=acidopore.grooming,mapping=aes(x=food.treatment1,y=groomingevents,color=food.treatment1),position=position_jitter(width=0.1),size=4,alpha=0.7)+\nscale_fill_manual(values=c(\"white\",\"white\",\"white\"),name=\"Food treatment (Mean/Median):\",labels=c(\"unfed\",\"water\",\"honey\"),guide=FALSE)+\nscale_colour_manual(values=c(\"grey\",\"dodgerblue\",\"yellow1\"),name=\"Raw data\",guide=FALSE)+\nscale_x_discrete(name=\"Food\",labels=c(\"unfed\",\"water\",\"honey\"))+\nscale_y_continuous(name=\"Acidopre grooming frequency\",limits=c(-0.5,15))+\nannotate(\"text\",x=c(1,2,3),y=c(8,11,11),size=10,label=c(\"a\",\"b\",\"b\"),fontface=2)+\ntheme(axis.line = element_line(colour = \"black\",size=1.5),\n axis.ticks=element_line(colour=\"black\",size=1.5),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=18),\n axis.text.y=element_text(colour=\"black\",size=18),\n axis.title.x=element_text(colour=\"black\",size=25,margin=margin(20,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=25,margin=margin(0,22,0,0)),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key=element_blank(),\n legend.position=\"right\")\nfig.1.figure.supplement2\n" }, { "type": "CodeChunk", "id": "fig1s3", "caption": [ { "type": "Heading", "depth": 3, "content": [ "Acidity along the gastrointestinal tract of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, "." ] }, { "type": "Paragraph", "content": [ "pH-measurements 24 hr after access to 10% honey-water in the crop (N = ", { "type": "CodeExpression", "duration": 0.002, "output": 2, "programmingLanguage": "r", "text": "ph.summary.midgut[1,2]" }, ") and directly after the proventriculus at four points along the midgut (N = ", { "type": "CodeExpression", "duration": 0.002, "output": 10, "programmingLanguage": "r", "text": "ph.summary.midgut[2,2]" }, " except position four with N = ", { "type": "CodeExpression", "duration": 0.002, "output": 9, "programmingLanguage": "r", "text": "ph.summary.midgut[5,2]" }, ") (LMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.019, "output": "22.152", "programmingLanguage": "r", "text": "myround(anova(m.ph.midgut,m.ph.midgut0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.017, "output": 4, "programmingLanguage": "r", "text": "anova(m.ph.midgut,m.ph.midgut0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.02, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.ph.midgut,m.ph.midgut0)[2,8],3))" }, ", same letters indicate p≥", { "type": "CodeExpression", "duration": 0.002, "output": "0.443", "programmingLanguage": "r", "text": "myround((output.m.ph.midgut.glht$test)$pvalues[6],3)" }, " and different letters indicate p", { "type": "CodeExpression", "duration": 0.003, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval(myround((output.m.ph.midgut.glht$test)$pvalues[1],3))" }, " in Westfall corrected post hoc comparisons). Lines and shaded boxes show the median and interquartile range; points show all data. Colors in shaded rectangles near the y-axis represent universal indicator pH colors. Color filling of shaded boxes correspond to the median pH color of x-axis groups and color filling of points correspond to universal indicator pH colors." ] } ], "duration": 0.027, "label": "Figure 1—figure supplement 3.", "outputs": [ { "type": "ImageObject", "contentUrl": 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} ], "programmingLanguage": "r", "text": "#' @width 40\n#' @height 30\n\n#############plot Fig.1 - figure supplement 3\n\n#addition of median values per position into the data.frame as a new variable\nph.midgut2<-ph.midgut%>%group_by(gutregion)%>%mutate(medianph=median(ph,na.rm=TRUE))\n\n#definition of universal ph indicator colors: 1-7\nph.colors.rgb<-c(\n\"202 58 67\",\n\"235 81 42\",\n\"252 125 19\",\n\"253 190 2\",\n\"254 250 0\",\n\"235 230 54\",\n\"133 203 40\"\n)\n\n#transformation of RGB colors into hex colors\nph.colors.hex<-sapply(strsplit(ph.colors.rgb, \" \"), function(ph.colors.rgb)\n rgb(ph.colors.rgb[1], ph.colors.rgb[2], ph.colors.rgb[3], maxColorValue=255))\n\n#plotting of Fig.1 - figure supplement 3\nfig.1.figure.supplement3<-ggplot()+\ngeom_boxplot(data=ph.midgut2,mapping=aes(x=gutregion,y=ph,fill=medianph),colour=\"grey30\",lwd=1.5,outlier.shape=NA,alpha=0.5,coef=0)+\nscale_fill_gradientn(colours=ph.colors.hex,guide=FALSE,breaks=c(1,2,3,4,5,6,7),limits=c(1,7.5))+\ngeom_point(data=ph.midgut2,mapping=aes(x=gutregion,y=ph,fill=ph),pch=21,color=\"white\",position=position_jitter(width=0.1),size=6.5,alpha=1)+\nscale_x_discrete(name=\"Gut position\",labels=c(\"Crop\",\"Midgut\\nposition 1\",\"Midgut\\nposition 2\",\"Midgut\\nposition 3\",\"Midgut\\nposition 4\"))+\nscale_y_continuous(name=\"pH-value\",limits=c(1,7),breaks=c(1,2,3,4,5,6,7))+\nannotate(\"text\",x=c(1,2,3,4,5),y=c(4.5,6.5,6.5,6.5,6.5),size=9,label=c(\"a\",\"b\",\"b\",\"b\",\"b\"),fontface=2)+\ntheme(axis.line = element_line(colour = \"black\",size=1.5),\n axis.ticks=element_line(colour=\"black\",size=1.5),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=20),\n axis.text.y=element_text(colour=\"black\",size=20),\n axis.title.x=element_text(colour=\"black\",size=25,margin=margin(20,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=25,margin=margin(0,22,0,0)),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key.height=unit(3.6,\"cm\"),\n legend.key=element_blank(),\n legend.position=\"right\")\nfig.1.figure.supplement3" }, { "type": "Paragraph", "content": [ "To pinpoint acidopore grooming and swallowing of the poison gland secretion as the source for crop acidity and to exclude that internal, physiological mechanisms cause crop acidity, we then prevented acidopore grooming in ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants for 24 hr after feeding through immobilization. This experiment revealed that acidopore grooming prevented ants showed a significantly diminished acidity in their crop compared to ants that were not prevented from acidopore grooming (", { "type": "Link", "target": "#fig1", "content": [ "Figure 1b" ] }, "; LMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.024, "output": "44.676", "programmingLanguage": "r", "text": "myround(anova(m.mobility.c.floridanus,m.mobility.c.floridanus0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.017, "output": 1, "programmingLanguage": "r", "text": "anova(m.mobility.c.floridanus,m.mobility.c.floridanus0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.019, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.mobility.c.floridanus,m.mobility.c.floridanus0)[2,8],3))" }, "). A similar, significantly diminished acidity in crop lumens was ubiquitously obtained in a comparative survey across seven formicine ant species and three genera (", { "type": "Emphasis", "content": [ "Camponotus" ] }, ", ", { "type": "Emphasis", "content": [ "Lasius" ] }, ", and ", { "type": "Emphasis", "content": [ "Formica" ] }, ") upon comparison of ants that were prevented from acidopore grooming through immobilization to non-prevented ants (", { "type": "Link", "target": "#fig1", "content": [ "Figure 1c" ] }, "; two-sided Wilcoxon rank-sum tests, comparisons for all ant species: p≤", { "type": "CodeExpression", "duration": 0.005, "output": "0.036", "programmingLanguage": "r", "text": "myround(wilcox.test(ph~treatment,data=mobility.c.maculatus)$p.value,3)" }, "). We conclude that formicine ants attain a highly acidic baseline pH in their crop lumen by taking up their poison into their mouth during acidopore grooming (", { "type": "Cite", "target": "bib140" }, "), and subsequently swallowing it. The comparative survey also shows that this behavior is widespread among formicine ants." ] }, { "type": "Paragraph", "content": [ "Although venomous animals often bear a cost of venom production and express behavioural adaptations to limit venom expenditure (", { "type": "Cite", "target": "bib27" }, "), we also found that ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants increase the frequency of acidopore grooming within the first 30 min after ingesting fluids compared to unfed ants irrespective of the fluid’s nutritional value (", { "type": "Link", "target": "#fig1s2", "content": [ "Figure 1—figure supplement 2" ] }, "; GLMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.004, "output": "33.526", "programmingLanguage": "r", "text": "myround(anova(m.grooming,m.grooming0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.004, "output": 2, "programmingLanguage": "r", "text": "anova(m.grooming,m.grooming0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.003, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.grooming,m.grooming0)[2,8],3))" }, "; Westfall corrected post-hoc pairwise comparisons, water versus. 10% honey-water: p=", { "type": "CodeExpression", "duration": 0.003, "output": "0.634", "programmingLanguage": "r", "text": "myround((output.m.grooming.glht$test)$pvalues[2],3)" }, ", unfed versus water and unfed versus 10% honey-water: both p", { "type": "CodeExpression", "duration": 0.002, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval(myround((output.m.grooming.glht$test)$pvalues[1],3))" }, "). Moreover, we found that the strong acidity was limited to the crop of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants and did not extend to the midgut, the primary site of digestion in insects (", { "type": "Cite", "target": "bib66" }, "; ", { "type": "Cite", "target": "bib137" }, "; ", { "type": "Link", "target": "#fig1s3", "content": [ "Figure 1—figure supplement 3" ] }, "; pH-measurements at four points along the midgut 24 hr after access to 10% honey-water; mean ± se; midgut position 1 = ", { "type": "CodeExpression", "duration": 0.002, "output": "5.08", "programmingLanguage": "r", "text": "myround(ph.summary.midgut[2,6],2)" }, " ± ", { "type": "CodeExpression", "duration": 0.003, "output": "0.18", "programmingLanguage": "r", "text": "myround(ph.summary.midgut[2,9],2)" }, ", midgut position 2 = ", { "type": "CodeExpression", "duration": 0.002, "output": "5.28", "programmingLanguage": "r", "text": "myround(ph.summary.midgut[3,6],2)" }, " ± ", { "type": "CodeExpression", "duration": 0.002, "output": "0.17", "programmingLanguage": "r", "text": "myround(ph.summary.midgut[3,9],2)" }, ", midgut position 3 = ", { "type": "CodeExpression", "duration": 0.002, "output": "5.43", "programmingLanguage": "r", "text": "myround(ph.summary.midgut[4,6],2)" }, " ± ", { "type": "CodeExpression", "duration": 0.004, "output": "0.16", "programmingLanguage": "r", "text": "myround(ph.summary.midgut[4,9],2)" }, ", midgut position 4 = ", { "type": "CodeExpression", "duration": 0.002, "output": "5.32", "programmingLanguage": "r", "text": "myround(ph.summary.midgut[5,6],2)" }, " ± ", { "type": "CodeExpression", "duration": 0.002, "output": "0.18", "programmingLanguage": "r", "text": "myround(ph.summary.midgut[5,9],2)" }, "). Together, these results led us to hypothesize that poison acidified crop lumens in formicine ants do not primarily serve a digestive function but may serve microbial control, limiting infection by oral pathogens." ] }, { "type": "Heading", "depth": 2, "content": [ "Poison acidified crops can prevent the passage of pathogenic and opportunistic bacteria to the midgut" ] }, { "type": "Paragraph", "content": [ "To investigate a potential microbial control function, we next tested whether poison acidified crop lumens can inhibit ", { "type": "Emphasis", "content": [ "Serratia marcescens" ] }, ", an insect pathogenic bacterium (", { "type": "Cite", "target": "bib54" }, "), when ingested together with food and prevent its passage from the crop to the midgut in ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants. To this end, we first estimated food passage times through the gut of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " with fluorescent particles contained in food, as we surmised that ingested fluids need to remain in the crop for a minimum time before being passed to the midgut in order for poison swallowing and the ensuing crop acidity to take effect after perturbation of the crop pH through ingested fluids. In agreement with food passage times through the gastrointestinal tract of other ants (", { "type": "Cite", "target": "bib25" }, "; ", { "type": "Cite", "target": "bib79" }, "; ", { "type": "Cite", "target": "bib78" }, "; ", { "type": "Cite", "target": "bib67" }, "; ", { "type": "Cite", "target": "bib91" }, "), we found that only a small amount of ingested food is passed from the crop to the midgut 2–4 hr after feeding, while thereafter food is steadily passed from the crop to the midgut until 18 hr after feeding (", { "type": "Link", "target": "#fig2s1", "content": [ "Figure 2—figure supplement 1" ] }, ")." ] }, { "type": "CodeChunk", "duration": 15.409, "programmingLanguage": "r", "text": "######################################################################################################\n############################### Fig 2 a,b: Serratia viability in vivo ################################\n######################################################################################################\n\n\n#############loading data for Fig.2a,b\ngrowth.serratia<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708515\",header=T)#choose data file: Supplementary Data Fig.2a,b.txt\n#str(growth.serratia)\n\n#create factor variable time2 from the continuous variable time\ngrowth.serratia$time2<-as.factor(growth.serratia$time)\n\n#subsetting the data frame into two groups (serratia.crop, serratia.midgut)\ngrowth.serratia.crop<-subset(growth.serratia,gutregion==\"crop\")\ngrowth.serratia.crop<-drop.levels(growth.serratia.crop)\ngrowth.serratia.midgut<-subset(growth.serratia,gutregion==\"midgut\")\ngrowth.serratia.midgut<-drop.levels(growth.serratia.midgut)\n\n#calculation of median values and confidence intervals of change in CFUs relative to 0h in the crop\ngrowth.serratia.summary<-ddply(growth.serratia,c(\"gutregion\",\"time\"),summarise,\nN=length(cfu.change.relative),\nmedian=quantile(cfu.change.relative,0.5),\nlowerCI=quantile(cfu.change.relative,0.025),\nupperCI=quantile(cfu.change.relative,0.975))\n#growth.serratia.summary\n\n#removal of time factor levels 4h and 48h in the midgut of serratia fed ants, as these levels consisted only of zeros and were not included in the statistical analysis\ngrowth.serratia.midgut1<-subset(growth.serratia.midgut,time2!=\"48\"&time2!=\"4\")\ngrowth.serratia.midgut1<-drop.levels(growth.serratia.midgut1)\n\n\n#############statistical analysis Fig. 2a\nm.growth.serratia.crop<-glmmTMB(cfu~time2+(1|colony),ziformula=~1,data=growth.serratia.crop,family=nbinom1)\n#summary(m.growth.serratia.crop)\n\n#model validation\nres.m.growth.serratia.crop<-simulateResiduals(fittedModel=m.growth.serratia.crop)\n#plot(res.m.growth.serratia.crop)\n\n#significance of predictor time since feeding (five levels: 0h, 0.5h, 4h, 24h, 48h)\nm.growth.serratia.crop0<-glmmTMB(cfu~1+(1|colony),ziformula=~1,data=growth.serratia.crop,family=nbinom1)\n#anova(m.growth.serratia.crop,m.growth.serratia.crop0)\n\n#post-hoc comporisons of predictor-levels time since feeding\nm.growth.serratia.crop.glht<-glht_glmmTMB(m.growth.serratia.crop,linfct=mcp(time2=\"Tukey\"))\noutput.m.growth.serratia.crop.glht<-summary(m.growth.serratia.crop.glht,test=adjusted(\"Westfall\"))\n#output.m.growth.serratia.crop.glht\n\n\n#############statistical analysis Fig. 2b\nm.growth.serratia.midgut<-glmmTMB(cfu~time2+(1|colony),data=growth.serratia.midgut1,ziformula=~1,family=nbinom2)\n#summary(m.growth.serratia.midgut)\n\n#model validation\nres.m.growth.serratia.midgut<-simulateResiduals(fittedModel=m.growth.serratia.midgut)\n#plot(res.m.growth.serratia.midgut)\n\n#statistical significance of predictor time (three levels: 0h, 0.5h, 24h)\nm.growth.serratia.midgut0<-glmmTMB(cfu~1+(1|colony),data=growth.serratia.midgut1,ziformula=~1,family=nbinom2)\n#anova(m.growth.serratia.midgut,m.growth.serratia.midgut0)\n\n\n\n######################################################################################################\n############ Fig. 2 - figure supplement 1a,b: food passage fluorescent particles #####################\n######################################################################################################\n\n\n#############loading data for Fig. 2 - figure supplement 1a,b\nfood.flow<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708516\",header=T)#choose data file: Supplementary Data Fig.2 - figure supplement 1a,b.txt\n#str(food.flow)\nfood.flow$time<-factor(food.flow$time,levels=c(\"2h\",\"4h\",\"6h\",\"8h\",\"12h\",\"14h\",\"16h\",\"18h\",\"24h\",\"48h\"))#reorder factor time\nfood.flow$gutregion<-factor(food.flow$gutregion,levels=c(\"crop\",\"midgut\",\"hindgut\"))#reorder factor gutregion\n\n#calculation of median values and confidence intervals of particles in gutregion over time per minor and major workers\nfood.flow.summary<-ddply(food.flow,c(\"caste\",\"gutregion\",\"time\"),summarise,\nN=length(particles),\nmedian=quantile(particles,0.5),\nlowerCI=quantile(particles,0.025),\nupperCI=quantile(particles,0.975))\n#food.flow.summary\n\n#subsetting the data frame food.flow into two groups (food.flow.minor, food.flow.major)\nfood.flow.minor<-subset(food.flow,caste==\"minor\")\nfood.flow.minor<-drop.levels(food.flow.minor)\nfood.flow.major<-subset(food.flow,caste==\"major\")\nfood.flow.major<-drop.levels(food.flow.major)\n\n\n\n######################################################################################################\n################### Fig. 2 - figure supplement 2a,b: E.coli viability in vivo ########################\n######################################################################################################\n\n\n#############loading data for Fig. 2 - figure supplement 2a,b\ngrowth.ecoli<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708517\",header=T)#choose data file: Supplementary Data Fig.2 - figure supplement 2a,b.txt\n#str(growth.ecoli)\n\n#create factor variable time2 from the continuous variable time\ngrowth.ecoli$time2<-as.factor(growth.ecoli$time)\n\n#subsetting the data frame into two groups (ecoli.crop, ecoli.midgut)\ngrowth.ecoli.crop<-subset(growth.ecoli,gutregion==\"crop\")\ngrowth.ecoli.crop<-drop.levels(growth.ecoli.crop)\ngrowth.ecoli.midgut<-subset(growth.ecoli,gutregion==\"midgut\")\ngrowth.ecoli.midgut<-drop.levels(growth.ecoli.midgut)\n\n#calculation of median values and confidence intervals of change in CFUs relative to 0h in the crop\ngrowth.ecoli.summary<-ddply(growth.ecoli,c(\"gutregion\",\"time\"),summarise,\nN=length(cfu.change.relative),\nmedian=quantile(cfu.change.relative,0.5),\nlowerCI=quantile(cfu.change.relative,0.025),\nupperCI=quantile(cfu.change.relative,0.975))\n#growth.ecoli.summary\n\n#removal of time factor levels 0h in the midgut of e.coli fed ants, as this level consisted only of zeros and were not included in the statistical analysis\ngrowth.ecoli.midgut1<-subset(growth.ecoli.midgut,time2!=\"0\")\ngrowth.ecoli.midgut1<-drop.levels(growth.ecoli.midgut1)\n\n\n#############statistical analysis Fig. 2 - figure supplement 2a\nm.growth.ecoli.crop<-glmmTMB(cfu~time2+colony,data=growth.ecoli.crop,ziformula=~1,family=nbinom1)\n#summary(m.growth.ecoli.crop)\n\n#model validation\nres.m.growth.ecoli.crop<-simulateResiduals(fittedModel=m.growth.ecoli.crop)\n#plot(res.m.growth.ecoli.crop)\n\n#statistical significance of predictor time since feeding (five levels: 0h, 0.5h, 4h, 24h, 48h)\nm.growth.ecoli.crop0<-glmmTMB(cfu~colony,data=growth.ecoli.crop,ziformula=~1,family=nbinom1)\n#anova(m.growth.ecoli.crop,m.growth.ecoli.crop0)\n\n#statistical significance of predictor colony (four levels: C313, C322, C333, C94)\nm.growth.ecoli.crop1<-glmmTMB(cfu~time2,data=growth.ecoli.crop,ziformula=~1,family=nbinom1)\n#anova(m.growth.ecoli.crop,m.growth.ecoli.crop1)\n\n#post-hoc comporisons of predictor-levels time since feeding\nm.growth.ecoli.crop1.glht<-glht_glmmTMB(m.growth.ecoli.crop1,linfct=mcp(time2=\"Tukey\"))\noutput.m.growth.ecoli.crop1.glht<-summary(m.growth.ecoli.crop1.glht,test=adjusted(\"Westfall\"))\n#output.m.growth.ecoli.crop1.glht\n\n\n#############statistical analysis Fig. 2 - figure supplement 2b\nm.growth.ecoli.midgut<-glmmTMB(cfu~time2+(1|colony),data=growth.ecoli.midgut1,ziformula=~1,family=nbinom1)\n#summary(m.growth.ecoli.midgut)\n\n#model validation\nres.m.growth.ecoli.midgut<-simulateResiduals(fittedModel=m.growth.ecoli.midgut)\n#plot(res.m.growth.ecoli.midgut)\n\n#statistical significance of predictor time since feeding (four levels: 0.5h, 4h, 24h, 48h)\nm.growth.ecoli.midgut0<-glmmTMB(cfu~1+(1|colony),data=growth.ecoli.midgut1,ziformula=~1,family=nbinom1)\n#anova(m.growth.ecoli.midgut,m.growth.ecoli.midgut0)\n\n#post-hoc comporisons of predictor-levels time since feeding\nm.growth.ecoli.midgut.glht<-glht_glmmTMB(m.growth.ecoli.midgut,linfct=mcp(time2=\"Tukey\"))\noutput.m.growth.ecoli.midgut.glht<-summary(m.growth.ecoli.midgut.glht,test=adjusted(\"Westfall\"))\n#output.m.growth.ecoli.midgut.glht\n\n\n######################################################################################################\n##################### Fig. 2 - figure supplement 3: Serratia growth in vitro #########################\n######################################################################################################\n\n\n#############loading data for Fig. 2 - figure supplement 3\nserratia.growth.invitro<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708518\",header=T)#choose file: Supplementary Data Fig. 2 - figure supplement 3.txt\n#str(serratia.growth.invitro)\n\n#calculation of median values and confidence intervals of change in CFUs relative to pH 5\nserratia.growth.invitro.summary<-ddply(serratia.growth.invitro,c(\"ph\"),summarize,\nmedian.cfu.change=quantile(cfu.change.relative,0.5),\nlowerCI.cfu.change=quantile(cfu.change.relative,0.025),\nupperCI.cfu.change=quantile(cfu.change.relative,0.975))\n#serratia.growth.invitro.summary\n\n#removal of pH levels 2 and 3 from serratia.growth.invitro, as these levels consisted only of zeros\nserratia.growth.invitro1<-subset(serratia.growth.invitro,ph==\"pH5\"|ph==\"pH4\")\nserratia.growth.invitro1<-drop.levels(serratia.growth.invitro1)\n#str(serratia.growth.invitro1)\n\n\n#############statistical analysis Fig. 2 - figure supplement 3\nm.serratia.growth.invitro1<-glm.nb(cfu~ph,data=serratia.growth.invitro1)\n#summary(m.serratia.growth.invitro1)\n\n#model validation\nres.m.serratia.growth.invitro1<-simulateResiduals(fittedModel=m.serratia.growth.invitro1)\n#plot(res.m.serratia.growth.invitro1)\n\n#statistical significance of predictor pH-level (two levels: pH5, pH4)\nm.serratia.growth.invitro10<-glm.nb(cfu~1,data=serratia.growth.invitro1)\n#anova(m.serratia.growth.invitro1,m.serratia.growth.invitro10)" }, { "type": "Paragraph", "content": [ "We then measured the viability of ", { "type": "Emphasis", "content": [ "Serratia marcescens" ] }, " ingested together with food in the gastrointestinal tract of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " at two time points before (0.5 hr and 4 hr) and after (24 hr and 48 hr) main food passage from the crop to the midgut, with the time directly after food ingestion (0 hr) serving as a reference. We found that ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " presence decreased sharply over time in the crop (", { "type": "Link", "target": "#fig2", "content": [ "Figure 2a" ] }, "; GLMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.004, "output": "220.776", "programmingLanguage": "r", "text": "myround(anova(m.growth.serratia.crop,m.growth.serratia.crop0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.003, "output": 4, "programmingLanguage": "r", "text": "anova(m.growth.serratia.crop,m.growth.serratia.crop0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.003, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.growth.serratia.crop,m.growth.serratia.crop0)[2,8],3))" }, "). The proportion of CFUs that we were able to retrieve from the crop relative to the mean at 0 hr in the crop diminished from ", { "type": "CodeExpression", "duration": 0.003, "output": 43, "programmingLanguage": "r", "text": "round(growth.serratia.summary[2,4]*100)" }, "% at 0.5 hr post-feeding (median, CI: ", { "type": "CodeExpression", "duration": 0.002, "output": 0, "programmingLanguage": "r", "text": "round(growth.serratia.summary[2,5]*100)" }, "–", { "type": "CodeExpression", "duration": 0.003, "output": 543, "programmingLanguage": "r", "text": "round(growth.serratia.summary[2,6]*100)" }, "%) to ", { "type": "CodeExpression", "duration": 0.002, "output": 0, "programmingLanguage": "r", "text": "round(growth.serratia.summary[3,4]*100)" }, "% at 4 hr (CI: ", { "type": "CodeExpression", "duration": 0.003, "output": 0, "programmingLanguage": "r", "text": "round(growth.serratia.summary[3,5]*100)" }, "–", { "type": "CodeExpression", "duration": 0.003, "output": 4, "programmingLanguage": "r", "text": "round(growth.serratia.summary[3,6]*100)" }, "%), 24 hr (CI: ", { "type": "CodeExpression", "duration": 0.004, "output": 0, "programmingLanguage": "r", "text": "round(growth.serratia.summary[4,5]*100)" }, "–", { "type": "CodeExpression", "duration": 0.002, "output": 2, "programmingLanguage": "r", "text": "round(growth.serratia.summary[4,6]*100)" }, "%), and 48 hr (CI: ", { "type": "CodeExpression", "duration": 0.003, "output": 0, "programmingLanguage": "r", "text": "round(growth.serratia.summary[5,5]*100)" }, "–", { "type": "CodeExpression", "duration": 0.002, "output": 18, "programmingLanguage": "r", "text": "round(growth.serratia.summary[5,6]*100)" }, "%) post-feeding. In addition, relative to the mean at 0 hr in the crop, ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " could only be detected at extremely low numbers in the midgut (median ", { "type": "CodeExpression", "duration": 0.003, "output": 0, "programmingLanguage": "r", "text": "round(growth.serratia.summary[6,4]*100)" }, "%) at 0 hr (CI: ", { "type": "CodeExpression", "duration": 0.002, "output": 0, "programmingLanguage": "r", "text": "round(growth.serratia.summary[6,5]*100)" }, "–", { "type": "CodeExpression", "duration": 0.003, "output": 4, "programmingLanguage": "r", "text": "round(growth.serratia.summary[6,6]*100)" }, "%), 0.5 hr (CI: ", { "type": "CodeExpression", "duration": 0.003, "output": 0, "programmingLanguage": "r", "text": "round(growth.serratia.summary[7,5]*100)" }, "–", { "type": "CodeExpression", "duration": 0.002, "output": 1, "programmingLanguage": "r", "text": "round(growth.serratia.summary[7,6]*100)" }, "%) and 24 hr (CI: ", { "type": "CodeExpression", "duration": 0.003, "output": 0, "programmingLanguage": "r", "text": "round(growth.serratia.summary[9,5]*100)" }, "–", { "type": "CodeExpression", "duration": 0.003, "output": 1, "programmingLanguage": "r", "text": "round(growth.serratia.summary[9,6]*100)" }, "%) post-feeding and not at all at 4 hr and 48 hr post-feeding (", { "type": "Link", "target": "#fig2", "content": [ "Figure 2b" ] }, "; GLMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.005, "output": "1.044", "programmingLanguage": "r", "text": "myround(anova(m.growth.serratia.midgut,m.growth.serratia.midgut0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.005, "output": 2, "programmingLanguage": "r", "text": "anova(m.growth.serratia.midgut,m.growth.serratia.midgut0)[2,7]" }, ", p=", { "type": "CodeExpression", "duration": 0.003, "output": "0.593", "programmingLanguage": "r", "text": "myround(anova(m.growth.serratia.midgut,m.growth.serratia.midgut0)[2,8],3)" }, ")). A similar, rapid reduction in the crop and inability to pass from the crop to the midgut was obtained when we fed ", { "type": "Emphasis", "content": [ "E. coli," ] }, " a potential opportunistic bacterium that is not a gut associate of insects (", { "type": "Cite", "target": "bib10" }, ") to ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants (", { "type": "Link", "target": "#fig2s2", "content": [ "Figure 2—figure supplement 2" ] }, "; crop: GLMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.003, "output": "156.741", "programmingLanguage": "r", "text": "myround(anova(m.growth.ecoli.crop,m.growth.ecoli.crop0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.003, "output": 4, "programmingLanguage": "r", "text": "anova(m.growth.ecoli.crop,m.growth.ecoli.crop0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.004, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.growth.ecoli.crop,m.growth.ecoli.crop0)[2,8],3))" }, "; midgut: GLMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.005, "output": "14.898", "programmingLanguage": "r", "text": "myround(anova(m.growth.ecoli.midgut,m.growth.ecoli.midgut0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.004, "output": 3, "programmingLanguage": "r", "text": "anova(m.growth.ecoli.midgut,m.growth.ecoli.midgut0)[2,7]" }, ", p=", { "type": "CodeExpression", "duration": 0.005, "output": "0.002", "programmingLanguage": "r", "text": "myround(anova(m.growth.ecoli.midgut,m.growth.ecoli.midgut0)[2,8],3)" }, ")." ] }, { "type": "CodeChunk", "id": "fig2", "caption": [ { "type": "Heading", "depth": 3, "content": [ "Viability of ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " over time in the digestive tract of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, "." ] }, { "type": "Paragraph", "content": [ "Change in the number of colony forming units (CFUs) in the crop (", { "type": "Strong", "content": [ "a" ] }, ") and midgut (", { "type": "Strong", "content": [ "b" ] }, ") part of the digestive tract (yellow color in insert) relative to the mean CFU-number at 0 hr in the crop (CFU change corresponds to single data CFU-value divided by mean CFU-value at 0 hr in the crop), 0 hr, 0.5 hr, 4 hr, 24 hr, and 48 hr after feeding ", { "type": "Emphasis", "content": [ "Camponotus floridanus" ] }, " ants 10% honey water contaminated with ", { "type": "Emphasis", "content": [ "Serratia marcescens" ] }, ". (", { "type": "Strong", "content": [ "a" ] }, "), Change of ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " in the crop (GLMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.003, "output": "220.776", "programmingLanguage": "r", "text": "myround(anova(m.growth.serratia.crop,m.growth.serratia.crop0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.003, "output": 4, "programmingLanguage": "r", "text": "anova(m.growth.serratia.crop,m.growth.serratia.crop0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.003, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.growth.serratia.crop,m.growth.serratia.crop0)[2,8],3))" }, ", same letters indicate p≥", { "type": "CodeExpression", "duration": 0.002, "output": "0.623", "programmingLanguage": "r", "text": "myround(( output.m.growth.serratia.crop.glht$test)$pvalues[8],3)" }, " and different letters indicate p", { "type": "CodeExpression", "duration": 0.003, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval(myround((output.m.growth.serratia.crop.glht$test)$pvalues[2],3))" }, " in Westfall corrected post hoc comparisons). (", { "type": "Strong", "content": [ "b" ] }, "), Change of ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " in the midgut (GLMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.003, "output": "1.044", "programmingLanguage": "r", "text": "myround(anova(m.growth.serratia.midgut,m.growth.serratia.midgut0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.003, "output": 2, "programmingLanguage": "r", "text": "anova(m.growth.serratia.midgut,m.growth.serratia.midgut0)[2,7]" }, ", p=", { "type": "CodeExpression", "duration": 0.005, "output": "0.593", "programmingLanguage": "r", "text": "myround(anova(m.growth.serratia.midgut,m.growth.serratia.midgut0)[2,8],3)" }, "). Note that timepoints with zero bacterial growth in the midgut (4 hr and 48 hr) were excluded from the statistical model." ] } ], "duration": 0.017, "label": "Figure 2.", "outputs": [ { "type": "ImageObject", "contentUrl": 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} ], "programmingLanguage": "r", "text": "#' @width 40\n#' @height 30\n\n#############plot Fig. 2a\nfig.2a<-ggplot()+\ngeom_boxplot(data=growth.serratia.crop,aes(x=time2,y=cfu.change.relative),fill=\"white\",outlier.shape=NA,lwd=1.5,alpha=0.3,coef=0,width=0.4)+\ngeom_point(data=growth.serratia.crop,aes(x=time2,y=cfu.change.relative),pch=21,fill=\"deeppink1\",color=\"white\",alpha=1,position=position_jitter(width=0.1),size=5)+\nannotate(\"text\",x=c(1,2,3,4,5),y=c(6.5,6.5,0.7,0.7,0.7),size=9,label=c(\"a\",\"a\",\"b\",\"b\",\"b\"),fontface=2)+\nscale_x_discrete(name=\"Time\",labels=c(\"0h\",\"0.5h\",\"4h\",\"24h\",\"48h\"))+\nscale_y_continuous(name=\"CFU change\",limits=c(-0.01,7.5))+\nlabs(tag=\"a\")+\ntheme(axis.line = element_line(colour = \"black\",size=2),\n axis.ticks=element_line(colour=\"black\",size=2),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=25),\n axis.text.y=element_text(colour=\"black\",size=25),\n axis.title.x=element_text(colour=\"black\",size=30,margin=margin(25,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=30,margin=margin(0,25,0,0)),\n plot.tag=element_text(colour=\"black\",size=60,face=\"bold\"),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15,face=\"italic\"),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key=element_blank(),\n aspect.ratio=1)\nfig.2a\n\nfig.2b<-ggplot()+\ngeom_boxplot(data=growth.serratia.midgut,aes(x=time2,y=cfu.change.relative),fill=\"white\",outlier.shape=NA,lwd=1.5,alpha=0.7,coef=0,width=0.4)+\ngeom_point(data=growth.serratia.midgut,aes(x=time2,y=cfu.change.relative),fill=\"deeppink1\",pch=21, color=\"white\",alpha=1,position=position_jitter(width=0.1),size=5)+\nannotate(\"text\",x=c(3),y=c(0.15),size=9,label=c(expression(paste(italic(\"P\"),\" = 0.593\"))),fontface=2)+\nscale_x_discrete(name=\"Time\",labels=c(\"0h\",\"0.5h\",\"4h\",\"24h\",\"48h\"))+\nscale_y_continuous(name=\"CFU change\",limits=c(-0.01,0.17))+\nlabs(tag=\"b\")+\ntheme(axis.line = element_line(colour = \"black\",size=2),\n axis.ticks=element_line(colour=\"black\",size=2),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=25),\n axis.text.y=element_text(colour=\"black\",size=25),\n axis.title.x=element_text(colour=\"black\",size=30,margin=margin(25,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=30,margin=margin(0,25,0,0)),\n plot.tag=element_text(colour=\"black\",size=60,face=\"bold\"),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15,face=\"italic\"),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key=element_blank(),\n aspect.ratio=1)\nfig.2b" }, { "type": "CodeChunk", "id": "fig2s1", "caption": [ { "type": "Heading", "depth": 3, "content": [ "Food passage of fluorescent particles through the digestive tract of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, "." ] }, { "type": "Paragraph", "content": [ "Number of fluorescent particles on a logarithmic scale in the crop (dark blue), midgut (light blue), and hindgut (turquoise) part of the digestive tract of minor (", { "type": "Strong", "content": [ "a" ] }, ") and major (", { "type": "Strong", "content": [ "b" ] }, ") ants 2 hr, 4 hr, 6 hr, 8 hr, 12 hr, 14 hr, 16 hr, 18 hr, 24 hr, and 48 hr after feeding them a 1:1 honey-water mix with polymethylmethacrylate (PMM) particles (size ≤40 µm). Note that for displaying purposes and better visibility of zero values a value of one has been added to all datapoints. Points represent the number of counted particles per individual ant and lines connect the median value of particles at the different time points after feeding." ] } ], "duration": 0.046, "label": "Figure 2—figure supplement 1", "outputs": [ { "type": "ImageObject", "contentUrl": 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B08qFGjZDa7fCYAAAAAAAAnIK4DAACAhypSRFOmyM/PYGn9en36qcsHAgAAAAAAcALiOgAAAHiuGjU0erRMJoOlOXO0apXLBwIAAAAAAHA04joAAAB4tObN1bOnQd1s1rvv6o8/XD4QAAAAAACAQxHXAQAAwNO9+qpatjSoJyXprbcUG+vygQAAAAAAAByHuA4AAACezmTSqFEKDTVYunJF/fsrIcHlMwEAAAAAADgIcR0AAACyAV9fvf++ihQxWDp+XMOGKS3N5TMBAAAAAAA4AnEdAAAAsoeQEE2dqnz5DJZ+/lkffeTygQAAAAAAAByBuA4AAADZRtWqioyUl9H3sPPmackSlw8EAAAAAACQZcR1AAAAyE6aNtUrrxgvvfeefv3VtdMAAAAAAABkGXEdAAAAspmePfXkkwb1lBQNGaIzZ1w+EAAAAAAAQBYQ1wEAACCbMZn073+rVi2Dpbg4DRyoGzdcPhMAAAAAAIC9iOsAAACQ/fj4KCpKJUsaLJ04oWHDlJrq8pkAAAAAAADsQlwHAACAbKlgQU2dqgIFDJa2bdO0aS4fCAAAAAAAwC7EdQAAAMiuKlTQ+PHyMvqW9j//0aJFLh8IAAAAAAAg84jrAGQzy5YtM2XI29u7RIkSU6ZMcfekAABXaNxYr71mvDRlimJiXDsNAAAAAABA5pnMZrO7ZwCA+/L19U1KSrJv7+7du2vXru3YeQAAnmn8eC1ebFAPDNTcuSpTxuUDAQAAAAAA2Iy76wDkWGfOnHH3CAAAFxkyRI8+alCPj9frr+v6dZcPBAAAAAAAYDPiOgA5U6VKlcLDw909BQDARby99d57Kl3aYOncOQ0ZouRkl88EAAAAAABgGx6GCcCjWT8Ms0aNGl27ds14V3BwcMeOHQsWLOjM0QAAHufkSfXooRs3DJbatdOIES4fCAAAAAAAwAbEdQA8mnVcFxERER0d7a55AAAe7pdf9MYbSk01WHrrLXXq5PKBAAAAAAAAHoSHYQIAACDnaNhQAwYYL0VF6aefXDsNAAAAAACADYjrAAAAkKN06qQOHQzqaWkaPlxHj7p8IAAAAAAAgAwR1wEAACCneest1a9vUL91SwMH6upVlw8EAAAAAABwf8R1AAAAyGny5NHkyapQwWDp/HkNGaK/vxcVAAAAAADAnYjrAAAAkAPlz6+pU1WwoMHS7t0aP97lAwEAAAAAANwHcR0AAAByppIlNXmy8uY1WFq+XF9+6fKBAAAAAAAAjBDXAQAAIMeqW1fvvGO8NGOGNm1y7TQAAAAAAABGiOsAAACQk0VEqHNng3pamkaM0OHDLh8IAAAAAIDsIDg42GQyPf300+4eJFcgrgMAAEAO9+abCgszqN+6pTfe0MWLLh8IAAAAAABp3759kZGRkZGRp06dcvcscDPiOgAAAORwXl4aO1aVKhksXbqkQYOUmOjymQAAAAAAud7evXtHjx49evTokydPunsWuJm3uwcAAAAAnM7fX1FR6t5dV69aLh04oNGjNWGCTCZ3TAYAAAAAgEdatGhRSkpKkSJF3D1IrkBcBwAAgFyhRAlNnqw+fZSUZLm0dq0qVdJLL7ljLAAAAAAAPFKzZs3cPUIuwsMwAQAAkFvUrq3hw42XPvlEq1e7dhoAAAAAADLj3LlzaWlp7p7CAeLj45Osf5c2dyOuAwAAQC7Spo26dTOom80aM0b79rl8IAAAAACAp7p+/fro0aNr1qyZP3/+woULN2/efOHChZLmzZtnMplMJtOdO3fuXpwvXz6TydSjRw/DVu+88076lri4OEkDBgwwmUydOnVKX23SpInJZAoODr57ffXq1U0m04ABAyRduHChV69eRYsWLVWqVHJy8r1tV61a1aVLl3LlyuXLl69kyZJhYWFRUVHx8fEO+UTFixc3mUxPP/20dZ87d+589NFHzZo1K168uK+vb7FixZo0aRIVFZWQkGB9cd26dU0mU58+fSQtXry4Vq1aQUFBvr6+hQoVatSoUWRkpOGu3IaHYQIAACB36ddPp05p40bL+p07GjRI8+apaFE3TAUAAAAA8Ci7du2KiIg4d+5c+h9v3bq1bt26devWPfPMMy1btnTZGOfOnWvSpMnRo0ct6vHx8Z07d16xYsXdyvnz58+fP//TTz+NGTNmwYIFrVq1stjiqE+0d+/eiIiIEydO3K1cuHDhwoULmzZtmjJlynfffdeoUSPDjdOnT3/jjTfu/vHatWu//PLLL7/8MmfOnJiYmOLFi9s+Q85DXAcAAIDcxctL48apd2/t32+5dPmyBg7UnDnKl88dkwEAAAAAPENsbOwTTzxx+fJlSfXq1QsPD/fz89u6deu6desWL1680fo3QDNp5MiRb7755vfff//6669LWrBgQcOGDb28LB+ImJKS8txzzx09erRevXphYWHlypXLmzevJLPZ3Lp1661bt0oKCQlp06ZNjRo1Lly4sGXLlpiYmLi4uLZt2y5cuLB9+/YO/0QXL158/PHHr169KqlUqVJNmzYNDQ09dOjQhg0bTpw48eeffzZv3nzPnj0VK1a02BgTEzNnzhxJrVu3btGiRalSpX7//fcZM2bExcWdPXu2Z8+eq1atsuufZQ5BXAcAAIBcx9dX77+vbt108aLl0qFDGjVKEyfK6m9JAAAAAIDcYsKECenJ1ogRI8aMGXO3Pn/+/J49e6aHVVkRHBwcHBxcuHDh9D8WK1asbNmy1pfNnz8/Li5uxowZffv2NZlMd+tffvllelbXrl27OXPmhISE3F367LPPXn311ZSUlD59+oSHhwcFBTn2E0VGRqZf3LZt2/nz5wcEBKTXb9++3atXr//85z+3bt0aMWLEN998Y7Fx165dXl5eM2fOfPXVV9MrHTp06NmzZ506dW7cuLFmzZrbt2/ny8W/PMsPIQAAAJAbFS6s99+Xn5/B0vr1mjXL5QMBAAAAADzD+fPnP/30U0lPPPHEvcmWpC5dutz7OEdnu3btWqdOnfr163dvVpeQkDBs2DBJlSpV+uabb+7N6iT16tVr8ODBkmJjY2fPnp1edNQnOnLkSHqfSpUqLVmy5G5WJylfvnzffPNN3bp1JS1YsGD37t3W2zt37nw3q0tXoUKF9Lf9paamHjx40MYxciTiOgAAAORS1asrMlL3/JXnf774QitXunwgAAAAAIAH+OabbxITEyUZ5lj9+vXLkyePy4ZJT+butXz58vPnz0saOnSov7+/9ZahQ4emx3vr169PrzjqEy1btiwlJUXSO++8Y7jl7bfflmQ2mxcvXmzLZ5EUGhqa/kVSUpItM+RUxHUAAADIvZo1U+/eBnWzWWPHas8elw8EAAAAAHC3w4cPp3/RpEkT69WyZctWqFDBNZPkzZu3evXqFsWff/45/YuwsDDDXUFBQeXKlZO0a9eu9IqjPtHRo0fTv2jTpo3hBU899VT6F8eOHbNY8vPzq1q1qvUWX19fW47O8YjrAAAAkKv17q1WrQzqSUkaOFDnzrl8IAAAAACAW6WHUiEhIfd7lVqpUqVcM0mZMmW8rN6sfvbs2fQvqlatarqPEydOSEp/WZ0c94nS+/j5+RUpUsTwAn9///QX8lnHdeXKlbP+LLiLfzQAAADI1UwmjRypf/zDYOn6dQ0YoJs3XT4TAAAAAMB90rOu9NjJUNGiRV0zicV76dLduHHDxu2pqampqaly3CdKTwqLFStmMnyxhCSpRIkSkk6dOmVR9zN8ezz+j7e7BwAAAADczMdH77+vrl114YLl0vHjGjZM06aJXwEEAAAAgFwib968ki5dunS/C65cuZLZnumxWWYZpmIBAQHpS4cPH04fNQPpb5hz1CcqWbLkwYMHL1j/5fkeFy9eFOFc5hHXAchmtm3b1qJFC0d18/b2rlix4jvvvFOyZElH9QQAZEcPPaSpU9Wrl27ftlzaulUffiijt3EDAAAAAHKgokWLHjly5PLly4mJiYax0+nTpzPb8+TJkw6YTNL/3b5mNpt9fX1Lly5tyxZHfaJKlSqtW7fu9u3bFy5cMLwh7/bt27GxsZKKFStmS0PcRVwHIJu5dOnS2rVrHdtzy5Ytv/32WwZ3cAMAcoMqVTRmjIYOVVqa5dJXX6l0aT3zjDvGAgAAAAC4VoMGDbZs2SJp06ZNTzzxhMXq+fPnjx8/fr+9ycnJhvU9e/Y4aryGDRt+9NFHktavX9+tWzfrC27cuDF06FCz2fz444936tRJWftE96pUqVL6FytXruzRo4f1BatXrzabzeknZuIjgXfXAYCk33///erVq+6eAgDgfuHhevVV46VJk7Rzp2unAQAAAAC4wzP/99uaH3zwgfXqhx9+aJjJpT9w8sCBA9ZLS5YsOXTokKPGa9u27UMPPSRp4sSJ8fHx1hdMnz595syZs2bNCgwMTK/Y94kMj/b29pY0YcIEw8d7jhkzJv2Lzp0729IQdxHXAYBCQ0MLFSrk7ikAAB6hZ0+1b29QT0nRkCHK/PNOAAAAAADZTOPGjcPDwyWtWrXq3XffvXdpwYIFU6dONdwVGhoqadeuXcuWLbu3vnv37v79+2d84p07d2wfLygoaOTIkZIOHjzYpEkTizfJfffdd6NHj5ZUvHjxli1bZuUTWatatWqvXr0kHTly5Nlnn71x48bdpdu3b3fp0uW3336T1KlTp/r169v+iSAehgkg2ylcuHDt2rUd2LB06dKjRo3iSZgAgLuGDtXp09q1y7IeH6+BA/XFFwoIcMdYAAAAAABXmTt37sMPP3zlypWRI0euXLmySZMmvr6+W7duXbt2baFChRo1arRx40aTyeTr63t3S0RExC+//CLpmWee6dWrV1hY2J07d7Zv3z5v3rw7d+74+fklJiZanHJ3+/Tp0xMTE5OTk5999llbxuvTp8+sWbMOHDjw22+/hYaGdujQoUqVKnFxcZs2bdq4cWN654ULF6bfCWf3JzI0evTob7/99vr169HR0aGhoc2aNatRo8ahQ4fWr19/4sQJSfnz5x8/frwtnwL3MqU/RRQAPJOvr29SUtK9lYiIiOjoaHfNAwDIJeLi1K2bzp41WGrYUB98oDx5XD4TAAAAAMCFdu/e3bp169jY2HuLBQsWjI6O/uCDDxYvXuzv75+QkHB3KTU1tVWrVmvXrrVuFRISEhkZ2a9fP0nXr18PCgpKr589e7ZSpUp3b60rWLDgtWvX0r+uXr36wYMHGzZsuG3bNsPxYmNj27dvv337duulIkWKfPLJJ+2tHh2T2U9UvHjx9FOWLFly75bff/+9Xbt2p06dsj66ZMmS3333ncWL6+rWrbt79+46deqk33tnYd68ed27d5f0yy+/5OY33vEwTAAAAMBSUJCiolSggMHSL78oKsrlAwEAAAAAXKtOnTr79+9/++23K1eu7OvrW6JEiR49euzcuTMsLCz9+ZPpL5C7K0+ePKtXr/7yyy/Dw8NLlix592le9evX/+mnnypWrGh9RKlSpb777rtHHnnE398/ODi4WrVqto9XrFixbdu2/ec//2nXrl3JkiV9fHzKlCnTvHnzcePGHTt2zDqrs+MT3U/t2rUPHjw4ffr08PDwIkWK5M2bt3DhwmFhYVFRUYcPH87NkVtWcHcdAI/G3XUAADfaulVvvqm0NIOloUPVoYPLBwIAAAAAeIDy5cufPHmyWbNmhvfSpUtISDhy5EihQoXKlCnjytnsY8snglNxdx0AAABgrHFjvfGG8dLkyfr5Z9dOAwAAAABwie3bt1euXLly5crffPON9eq2bdtOnjwpqVGjRhk0yZ8/f506dTwkq3PIJ4JTEdcBAAAA99Wli555xqCelqZhw3T8uMsHAgAAAAA4WZ06dc6fP3/06NEPPvjA4tFfCQkJo0aNkuTl5dWlSxc3DZhpOe8T5Tx5Ro8e7e4ZAOC+xo4dm5qaem+latWqzz//vLvmAQDkQo0a6fffdf68ZT05WT//rFatlC+fO8YCAAAAADiHt7d3SkrKxo0bz5079+OPP/r4+CQkJBw8eHDlypW9e/eOiYmR9Nprr7344ovuntRWOe8T5Ty8uw6AR+PddQAATxAfr+7ddfq0wVLduvr4Y+XN6/KZAAAAAABOYzabX3nlldmzZxuuduvWbfbs2Xmz1V8Fc94nymGI6wB4NOI6AICHOHVKPXooPt5gKSJCI0e6fCAAAAAAgJP9+uuvU6dO3bdv39GjR00mU4kSJcLCwrp37964cWN3j2annPeJcgziOgAejbgOAOA5tm9X//76+0Oa/zJwoDp3dvlAAAAAAAAgR/By9wAAAABA9tCggYYNM16aNk2bN7t2GgAAAAAAkFMQ1wEAAAC2atdOHTsa1NPS9O9/6+hRlw8EAAAAAACyP+I6AAAAIBPeekv/7/8Z1G/d0sCBunrV5QMBAAAAAIBsjrgOAAAAyAQvL40bp4oVDZbOn9dbb+nvL10FAAAAAAB4AOI6AAAAIHPy59fUqQoONljas0fjxrl8IAAAAAAAkJ0R1wEAAACZVqKEJk2Sj4/B0ooVmjvX1fMAAAAAAIDsi7gOAAAAsEfdunrnHeOljz7SmjWunQYAAAAAAGRbxHUAAACAndq21QsvGNTNZo0erf37XT4QAAAAAADIhojrAAAAAPv176+wMIP6nTsaNEgXL7p8IAAAAAAAkN0Q1wEAAAD28/LS2LGqXNlg6dIlDRqkxESXzwQAAAAAALIV4joAAAAgS/z9FRWlQoUMlg4c0KhRMptdPhMAAAAAAMg+iOsAAACArCpeXFOmyMfHYGndOs2e7fKBAAAAAABA9kFcBwAAADhArVqKjJTJZLA0e7Z++MHlAwEAAAAAgGyCuA4AAABwjBYt1KOHQd1s1pgx+uMPlw8EAAAAAACyA+I6AAAAwGH69FHLlgb1pCS99ZYuXHD5QAAAAAAAwOMR1wEAAAAOYzJp1CiFhhosXbmiAQN0+7bLZwIAAAAAAJ6NuA4AAABwJF9fvf++ihQxWDp8WCNHKi3N5TMBAAAAAAAP5u3uAQAAAICcJiREUVHq3dvgXroNGzRzpvr1s7WV2axjx3T4sOLilJiowECVKaNq1RQQ4NiRAQAAAACA2xDXAQAAAI5XrZoiIzV0qMxmy6UvvlDJkmrfPqPtaWlatUpff621a3X5suVqnjx65BH961968UUVK+bIsQEAAAAAgOvxMEwAAADAKZo21csvGy9NnKhdu+67ceFC1aihp57SggUGWZ2k1FTFxGjIEJUvr9de05UrjhkYAAAAAAC4BXEdAAAA4CwvvaTWrQ3qKSkaPFhnz1rW4+PVvr06dtShQzb1T0zURx+pWjWtXp3VUQEAAAAAgLsQ1wEAAADOYjJpxAjVrGmwFBenAQN08+b/KsePq3FjRUdn+pTLl9WmjT74wP45AQAAAACAG5nM1i/TAACP4evrm5SUdG/F39+/2IPe0hMUFDR06NDnnnvOmaMBAGCrK1fUrZtiYw2WGjfWtGny8tKJE2rYUBcvZumgt9/WhAlZ6gAAAAAAAFyPuA6AR7OO62yUJ0+e/fv3V6lSxeEjAQBgh+PH1aOHEhIs615eWrJEgYFq3Fh79zrgoFmz9MorDugDAAAAAABchodhAsiZUlNTDxw44O4pAAD4S4UKGj9eXlbffXfooJIl1b27Y7I6SW++qX37HNMKAAAAAAC4BnEdgJypSJEiYWFh7p4CAID/eewx9ev3t4q/v155RcuWafFih52SmGh5CgAAAAAA8HDe7h4AADKnbNmyTzzxRAYXmEym4sWLd+3aNTg42GVTAQBgi27ddPasliz564/t2ysgQCNHOviUTZu0Zo1atHBwWwAAAAAA4CS8uw6AR7N+d11ERER0dLS75gEAIItSUtSvn379VZIWLNCZM2ra1PGnPPmkVqxwfFsAAAAAAOCwQvCLAAAgAElEQVQMPAwTAAAAcB1vb02apNKlVaaMKlXS/PlOOeXHH3X5slM6AwAAAAAAhyOuAwAAAFwqKEhRUXrsMUlas8YpR6SkaP16p3QGAAAAAAAOR1wHAAAAuFr58urSRRcu6PRpZx2xc6ezOgMAAAAAAMcirgMAAADcoFgxHT3qxP5HjjixOQAAAAAAcCBvdw8AAAAA5FLXrxsUg4MVFqb69VWligoWVFCQ4uJ05YoOHlRMjDZv1s2bNjW/etWxwwIAAAAAAGchrvMsKSkpFy5cuHLlSmpqaqlSpUJCQkwmk7uHAgAAgFOkpPzva5NJbdrolVfUqpW8vZWYqMOHdfGiYmOVL59q1tTTT8vHR4mJ+v57zZypDRsy0RwAAAAAAHgy4jqPkJyc/NVXXy1atGjz5s0JCQl36z4+PnXq1OnUqdNzzz1XokQJN04IAAAAhwsI+OuLf/5T06erTh0dP66xY7VypXbtUmrq3y7Om1f166ttW73wgjp00JYtev117d593+aBgU6cHAAAAAAAOBDvrnOwtLS0PXv2rFix4rPPPtuxY4ctW9auXVulSpVevXqtWrXq3qxOUlJSUkxMzMCBA0uXLj1gwACLVQAAAGRrZcvKy0sTJ2rTJvn7q2NHVa6syEjt2GGZ1UlKTtbPP+vtt1W+vHr1Uvny2rFDgwbdt3m5cs4cHQAAAAAAOA5xncOsX7++R48exYoVq1279lNPPfXSSy9t3rz5gbtmzpzZqlWrkydPZnxZWlratGnTatasGRMT45hxAQAA4G7lyun77zV0qKZNU61aWrhQaWkP3pWcrM8/V/Xqmj9fU6Zo7lz5+hpcVrOmw+cFAAAAAABOwcMwHeDgwYNvvfXWihUrMrtx6dKl/fr1M5vNNl5/4sSJli1brlu37pFHHsnsWQAAAPA0efKoWTP17Kkvvsj03hs31L279u7VxIkqUUJPPmn5srrwcEeNCQAAAAAAnIu767Lqxx9/fPTRR+3I6k6dOvXiiy/antWli4uLe+KJJw4dOpTZ4wAAAOBpkpPVtq09Wd1dU6boxRfVvLmmTv1bPTRU1atncToAAAAAAOAixHVZsnTp0rZt29r3Srm333775s2bdmy8cuVK7969M5vzAQAAwNO88YbWrMlqk//8R2PH6rXX9NJL/yu+8kpW2wIAAAAAAJchrrPfmTNnunXrlpSUZMfeXbt2ffvtt3Yf/dNPP82dO9fu7QAAAHC72bM1c6ZjWo0apeXLFRWlkiUlqUSJv0V3AAAAAADAwxHX2a9Xr17x8fH27f34448Nb4/z8/MbO3bstm3brl+/fuLEifnz59evX9+ww9tvv52cnGzf6QAAAHCv2FgNHuywbmaz+vaVl5ciIyVpyhTly+ew5gAAAAAAwNmI6+y0cePGNRk+usjf3z8wMNBwKT4+fsGCBdb14sWLx8TEDB8+vGHDhkFBQeXKlevcufO2bduGDRtmffHFixe///57+4YHAACAe02apLg4RzY8c0YzZ+rFF9W3r55/3pGdAQAAAACAsxHX2emTTz4xrAcEBIwePfrgwYMJCQm9e/c2vOb77783fN3dhx9+WLNmTYuil5fXuHHj+vTpY339559/nsmpAQAA4H43b2r2bMe3/eAD5cmjqVMd3xkAAAAAADgVcZ09rl27tnjxYut6aGjogQMHRo0aVbVq1Qy2r1q1yrrYsmXLZ5999n5bpkyZUrx4cYviDz/8EOfY38oGAACA80VH6+ZNx7c9e1YbN8rHx/GdAQAAAACAUxHX2WPr1q1JSUkWxUKFCq1du7ZkyZIZ701LS/vxxx+t62+88UYGu/z9/Qdbvd4kNTV1586dNswLAAAAD7J6dfbrDAAAAAAAnIe4zh4xMTHWxcjIyGLFij1w7549ey5dumRRDAwMbNmyZcYbO3Xq5OVl+b/Xjh07HngiAAAAPMr27c7qbPRdKgAAAAAA8HTEdfawjuvy5cv34osv2rL3p59+si42a9bM29s7443FixevVKmSRZG4DgAAIHtJTdWJE85qfviwszoDAAAAAADnIa6zx7lz5ywqoaGhQUFBtuzdsmWLdTE8PNyWvWXLlrWonD171paNAAAA8BDx8UpOdlbzK1ec1RkAAAAAADgPcZ09rl+/blGxDtLux/Duuscff9yWvWXKlLGoXLt2zcZzAQAA4Amcl9WlNzebndgfAAAAAAA4A3GdPeyO644dO/bnn39aFIODg2vWrGnLdutTrCcBAACAJytQwInNAwJkMjmxPwAAAAAAcAbiOnvcvn3bolKiRAlbNho+CTMsLMxk249VAgMDLSrEdQAAANmLv78eeshZza2exQAAAAAAALIB4jp7WMdmV2x7T4jhkzDDwsJsPNf6FB8fHxv3AgAAwEP84x/O6hwa6qzOAAAAAADAeYjr7BEcHGxROXXqlC0b161bZ1208cV1MorrgoKCbNwLAAAAD9GkibM6h4crJcVZzQEAAAAAgJMQ19nDOq47ffr0A3cdPXr05MmTFsWCBQvWqVPHxnP37NljUbG+zw8AAAAe7tlnndLW21vt2mnTJh0/7pT+AAAAAADASYjr7FG5cmWLyqFDh9LS0jLetWjRIutis2bN8uTJY8uhiYmJO3bssCgWLFjQlr0AAADwHDVrqkEDx7d96ikVK6boaL32ms6fd3x/AAAAAADgJMR19mhg9fOVS5cuGb6X7l5fffWVdfGJJ56w8dA1a9bcuXPHolitWjUbtwMAAMBzDB/u4IYmk4YP1/Hj+uUXXbyofv109aqDjwAAAAAAAE5CXGcP67hO0uTJkzPYsnz58v3791vXW7ZsaeOh77//vnXx4YcftnE7AAAAPEfbtmrVypENu3fXo4/q00+V/sSHM2f05pu6dcuRRwAAAAAAACchrrPHww8/XKhQIYviihUrFixYYHh9YmLioEGDrOsNGjQoW7asLSeuWLFi06ZNhpPYsh0AAAAeJSlJn3+uUqUc0616dU2dqu3btXbt/4r792vgQCUlOeYIAAAAAADgPMR19vDx8enWrZt1vXv37t9++61F8c6dO507dz58+LD19V27drXluMOHD7/wwgvW9YCAAOI6AACAbCcuTk89pbx5tWyZ8ufParfgYEVHKzlZo0dbLu3cqWHDlJqa1SMAAAAAAIBTEdfZqXfv3tbFO3fudOrUqWXLll9++WVMTMyGDRsmTJjw8MMPL1myxPpiHx+f5557LuNTkpKSJk6c+PDDD1+/ft16tXPnzvny5bNvfgAAALjLwIFas0adOqlmTS1apMBA+1sVLqzly1W5suLjdemSwQUbN+q99+zvDwAAAAAAXMBkNpvdPUN21bFjx4ULF9q9vV+/fjNmzDBc2rZt2969e7dt27Zq1arY2Nj7dYiJialXr57dAwDZgq+vb9LfH+MVERERHR3trnkAAMiiXbv06KNK/x68Sxd99pmOHVNEhI4dy3SrOnW0dKkKFdL27WreXJ9+qk8/Nb6yZ0/17ZulsQEAAAAAgPMQ19nvwoUL1atXv3btmh17/fz8jh49WrJkScPVgICAmzdvZtyhefPma9asseNoIHshrgMA5DAdO+re3/hq1EiLF8vXV2+/rTlzlJZmUxMfH735pkaNUmys2rVTUpIOHpSkceO0dKnxlgED1KVLlqcHAAAAAABOwMMw7Ve0aNGPPvrIZDLZsXf48OH3y+psERAQMGfOHLu3AwAAwC0uX7aM07ZtU/362r5dn3yiffv00ksPeDZmoULq31+HD+u99/T996pfX3v36vBhbd4sk0nDhqlZM+ON06Zp2TKHfRAAAAAAAOBA3u4eIHt7/vnn4+Li+vbtm6mbFJs2bTps2LCsnDt9+vSyZctmpQMAAABcb/lyJSdbFs+cUevWatNGI0Zo9mxNn67Nm/Xzzzp4UBcuKCFBAQEqVkzVq+uf/9Rjj8nHR+vXq2tXbd78vyaLF+vxx+XlpbFjdfOmtm+3PMVs1tixCghQeLhzPyMAAAAAAMgsHobpAF988UX//v0f+PjKdGFhYUuXLg0ODs7gmgwehunt7T179uzu3bvbMSeQHfEwTABATtKjh+bOzeiCOnX0/PNq1ky1a8v7779Zl5SknTu1Zo0WLPjr0Zf3ql1bu3f/9XVCgl59VQcOGPT39dWMGapb194PAAAAAAAAnIC4zjHOnj37+uuvL73fq0IkSb6+vv369ZswYYKPj0/G3e4X15UqVeqTTz558sknszQrkK0Q1wEAcpL69bVjh01X+vioQgWFhMjPT7du6dIlnTihlJT7Xu/rq4T/z959x0dZZY8fP9Myk0kPIZUQOlJFQKRIE1RUigoqoII/Ka6gKCxiQxFZG1VpawH9oqCrIkqxuyKKoCgIBISEkhAgFVImmZSpvz/YZTF5JiSTmUn7vP9K7rnPPQd8BSdz5t5rFo3mP9/m5cnkyXLqlMLMwEB54w1p37761QMAAAAAAO+gXedJKSkpH3300ZYtW1JSUrKyshwOh4gEBwf36NHjuuuuu++++5o1a1aVdSq268LDwx9//PEZM2YYDAavlA7UVbTrAAANSWysZGR4a/GMDImO/t+3WVly//2SlaUwMzxc1qyR5s29VQkAAAAAAKgW2nXeYrPZTCZTcHCwVlvtCwKDgoLMZnNERERCQsLgwYNvvvnmfv366XQ6b9QJ1HEV23WxsbH9+vWr/KnQ0NDp06dfeeWV3iwNAIBqCwkRk8lbiycnS9u2fxk5eVImT1bO2KyZrF0rTZp4qxgAAAAAAFB1tOvqorS0tOjo6MuemQk0BhXbdVUUHBycnJwcFRXl8ZIAAHBb06Zy7py3Fj91SmHD3KFDMm2aFBcrzG/TRt58U4KDvVUPAAAAAACoInVtFwAFzZs3p1cH1JDJZPrll19quwoAAP7Ce7vZVCrlxTt3lsWLRfGl5fHj8uijUlLirZIAAAAAAEAV0a4D0DDp9fpu3brVdhUAAPxFu3beWjkuTgIClEO9esm8eaJWeuF/8KA89ZTY7d6qCgAAAAAAVEW1r1UDgNoVGhraunXrSiaoVKro6OgZM2YkJCT4rCoAAKrimmtk61avrNy7d2XRG28Uk0leeUUh9NNPMn++zJ8vKpVXCgMAAAAAAJdFuw5APTNgwIDNmzfXdhUAALhj2DCZO9crK99002Um3HGHnD8va9YohL74QoKC5LHHvFEXAAAAAAC4PA7DBAAAAHykRw/p2NHzy/r7y+jRl5/2t7/JuHHKoQ8/lHXrPFsUAAAAAACoKnbXeZ3Vak1KSjp69GhWVlZOTk5OTk5BQYHVarVYLFartXfv3nO99BFrAAAA1D2zZsnkyR5ec/JkCQmp0syZM+X8efnmG4XQypUSEiK33urZ0gAAAAAAwOXRrvMKm822c+fOrVu3fvvtt0ePHrVara5m+vv7lxvJzs5++OGHhw4dev3117do0cK7hQIAAMC3JkyQpUvlzz89tmBwsDz1VFUnq9Xy/PNSVCS7dpUPOZ3y4osSFCRDhnisNgAAAAAAUBUchulhRUVFS5Ysad68+eDBg5cuXZqYmFhJr06R1Wr96KOPpk6d2rJly6uuumr9+vXVXQEAAAB1lk4nb70lOp3HFly8WKKjqzFfq5WFC6VrV4WQwyFz58ovv3iqNAAAAAAAUCW06zxp7dq1CQkJs2fPzsjI8MiC+/fvv/fee1u1arV27VqPLAgAAIBa17evrFzpmaX+9jeZMqXaTxkMsmyZtGqlELJaZc4cOXKk5qUBAAAAAICqol3nGdnZ2SNGjJg8eXJubq7HFz9z5szkyZNHjBiRlZXl8cUBAADge1OnysyZNV1kyBBZvtzNZ0NCZOVKiY1VCBUXy8MPS2pqDSoDAAAAAADVQbvOA1JTU/v27btt2zavZtm2bVvXrl0PHjzo1SwAAADwjaVLZfFi0WjcfHzSJPniixodqhkZKatWSXi4Qig/X6ZPl8xM9xcHAAAAAABVR7uupo4dO3bttdeeOHHCB7mys7OHDh16+PBhH+QCAACAt/3977J1q0RFVe8po1FWrJA1a8TPr6YFxMfLq6+K0agQysqSGTPEZKppCgAAAAAAcFm062rEbDbfeuutZ8+evexMf3//+Pj4q666qoYZc3JyhgwZUpWMAAAAqPtuukmOHpXHH5egoMtP1mpl4kT580956CGPFdCxoyxdqtz5O3lSHn5Yios9lgsAAAAAACiiXVcjU6ZM+fPPP11FtVrt7bff/sYbbyQlJRUXF6elpe3bt++ya0ZGRq5cubJz586uJmRlZT3wwANuVgwAAIA6JjRUXn5ZTp+WNWtkxAgJCSk/wWCQQYNk4UJJTZX/+z9JSPBwAT17yksvKR/LefiwzJ4tFouHMwIAAAAAgEupnE5nbddQX3311Vc33XSTYkir1U6fPn3mzJkJFd5NUalUl347ZsyYjz/+WHGRjRs3Pv744ydPnlSMrlu3bsKECdWvGqhn9Hq95a/vEY4cOXLz5s21VQ8AAD5w9qxkZkpengQHS0SEJCS4f8Vd1W3aJC++qBy68UZZsEDUfNIPAAAAAADv4HduNzkcjjlz5iiG2rRp8/PPP7/66qsVe3XVMmbMmMTExPHjxytGn3zySavVWpP1AQAAUDfFxUmPHjJ0qPTqJa1a+aJXJyK33y7TpimHvv5aFi70RQ0AAAAAADROtOvc9MknnyQmJlYc7969+969e3v16uWRLEajccOGDY899ljFUHp6+qZNmzySBQAAABCR+++Xe+5RDm3cKG+95dtqAAAAAABoNGjXuWndunUVB9u0afPll18GBwd7NtfChQvHjh1bcXzFihWeTQQAAIBG7pFHZORI5dAbb8gHH/i2GgAAAAAAGgfade7Izs7++uuvK46//fbbkZGR3si4cuXKiIiIcoM///xzVlaWN9IBAACgcVKpZO5cGTxYObpsmXzzjW8LAgAAAACgEaBd547t27fbbLZyg2PHju3fv7+XMjZp0uTvf/97xfGff/7ZSxkBAADQOKnV8o9/yFVXKYQcDnn2Wdm1y+c1AQAAAADQoNGuc8eePXsqDs6YMcOrSSdNmqTVassN7ty506tJAQAA0Ajp9bJsmbRvrxCy2WTOHDlwwOc1AQAAAADQcNGuc8fvv/9ebiQ2NrZ3795eTdq0adOrKnzI+Y8//vBqUgAAADROgYGyYoU0b64QKi2VWbPk5Emf1wQAAAAAQANFu84d6enp5UYGDhyoUqm8nbdXr17lRs6dO+ftpAAAAGicwsNl+XJp0kQhVFAgDz0kFV4UAwAAAAAAd9Cuc0deXl65kbi4OB/kjYmJKTdy/vx5H+QFAABA49SsmaxaJcHBCqHsbJk+XXJzfV4TAAAAAAANDu06d5hMpnIj0dHRPsgbXOGdklzeIAEAAIA3tWkjr74q/v4KodOn5aGHpLDQ5zUBAAAAANCw0K5zR0hISLmR4uJiH+TNzs4uN+Kv+MYJAAAA4Dldu8oLL4hGoxBKTpbHHhOLxec1AQAAAADQgNCuc0fFQykzMzN9kPf06dPlRnyzqw8AAACN3IABMm+eKF7W/Pvv8uSTYrf7vCYAAAAAABoK2nXuqNiuS0pK8kHeU6dOlRuJioryQV4AAADg5ptl9mzl0I4dsmCBOJ2+LQgAAAAAgIaCdp07Krbrfvzxx4KCAq8mPX/+/K5du8oNsrsOAAAAPnPXXTJxonJo2zb55z99Ww0AAAAAAA0F7Tp39OzZs9yI1Wr97LPPvJr0/ffft1S4FaR9+/ZeTQoAAABc6qGH5NZblUNvvy3r1/u2GgAAAAAAGgTade647bbbVBUu7pg/f35ZWZmXMjocjjVr1lQcHz58uJcyAgAAABWpVPLUUzJ0qHL0tddkyxbfFgQAAAAAQP1Hu84dcXFx11xzTbnBlJSUJUuWeCnjSy+9dPDgwXKDMTExFff5AQAAAF6lVsuCBdK7t0LI6ZR//EO+/97nNQEAAAAAUJ/RrnPT7bffXnHwmWee8caRmL/++utzzz1XcXz48OEVN/kBAAAA3qbTycKF0qGDQsjhkGeekX37fF4TAAAAAAD1Fu06N02ePLlp06blBh0Ox/jx47du3erBRHv27Ln11lttNlu5cZVKNWXKFA8mAgAAAKrOaJQVK6RFC4VQWZnMnClJSb4uCQAAAACAeop2nZvCwsJeeumliuMlJSWjRo16/PHHrVZrzbNs2LBh4MCBmZmZFUP33HPP1VdfXfMUAAAAgHtCQ2XVKomOVgiZzfLww5KW5vOaAAAAAACoh2jXue/+++/v1atXxXGn07lw4cJ27dq99dZbbjftTp06NX78+Hvuuae0tLRi1Gg0KjYLAQAAAF+KipLlyyU4WCGUmysPPyznzvm8JgAAAAAA6hvade5TqVRvvfVWsOKbEyKpqalTp06Ni4u7//77P/vss+zs7KqsmZ+f/9lnn40bN659+/YffPCBq2nPPfdcXFycm3UDAAAAntOqlaxYIUajQujsWXnoITGZfF4TAAAAAAD1isrpdNZ2DfXbzz//fOONN5rN5svODA4ObtOmzb59+y4dbNWq1cCBA00mU15eXnJy8pkzZy67zrRp01atWuV+xUC9otfrLRbLpSMjR47cvHlzbdUDAAAU7dkjjz4qf/2f9n906SKrV4u/v89rAgAAAACgnqBd5wH//ve/hw8frnhqpceNGzdu/fr1ajXbItFY0K4DAKC++OYbmTtXHA6FUP/+snixaDQ+rwkAAAAAgPqAro8HDBky5Ouvv27RooW3E02aNGndunX06gAAAFAH3XCDzJmjHPrpJ5k/X7mTBwAAAAAAaPx4xoABAxITEx944AEvrR8VFbVly5Y1a9bodDovpQAAAABqaMwYmTJFOfTFF7J4sW+rAQAAAACgnqBd5zGBgYGvv/76N99807NnTw8uq9Vq77333kOHDo0YMcKDywIAAADe8MADMn68cuijj+T//s+nxQAAAAAAUC/QrvOw66+//rfffvv1118nTJhgMBhqslRMTMy8efPS0tLefffdiIgIT1UIAAAAeNWjj8oNNyiHVq2STz/1bTUAAAAAANR5KqfTWds1NFjnz5///PPPd+3atXv37kOHDjmqcFmHXq/v3r17nz59BgwYcPPNN3P0JaDX6y0Wy6UjI0eO3Lx5c23VAwAAqsJmk1mzZNcuhZBaLS++KEOH+rwmAAAAAADqKtp1PlJYWLhnz56zZ8/m5eXl5ubm5ubm5eWp1eqwsLDw8PCwsLCwsLA2bdp0795dr9fXdrFAHUK7DgCAeqq0VKZPlwMHFEI6nSxbJr17+7wmAAAAAADqJNp1AOo02nUAANRfhYXywAOSnKwQMhrljTekQwef1wQAAAAAtSQxUb79Vn77TU6elHPnRESMRklIkK5dZdAgGTxYOG6vMaNdB6BOo10HAEC9lp0tkydLerpCKDRU1qyRFi18XRIAAAAA+JLFIu+9J8uXy8GDlU2LiJD/9/9k1iyJjvZVZahL1LVdAAAAAIAGKzJSVq2S8HCFUH6+TJsmmZk+rwkAAAAAfOWHH6RLF5k8+TK9OhE5d04WLZI2bWThQrHbfVIc6hLadQAAAAC8KD5eVq6UoCCFUHa2zJghBQU+rwkAAAAAvG/ZMhk6VPmCAFfMZnn8cRk1Skwmr5WFOol2HQAAAADvatdOFi0SPz+F0MmTMmOGFBf7vCYAAAAA8BqHQ6ZMkVmz3Nwn9/nn0revpKV5uizUYbTrAAAAAHhdz57y0kui0SiEDh+W2bPlr5fVAgAAAEA99vTTsmZNjVY4fFiuv17OnfNQQajzaNcBAAAA8IWBA+WZZ0SlUgjt2SPPPScOh89rAgAAAABPW79eXn7ZA+skJ8u99/KLUmNBuw4AAACAjwwfLg8+qBz65htZuNC31QAAAACAp6Wlyd/+5rHVvvpK3n7bY6uhLtPWdgF1wrhx42q7BHd88MEHtV0CAAAAUD333y8mk6xfrxDauFHCw2XqVJ/XBAAAAAAe8tRTYjZ7eMGxYyUw0JNrog5SOZ3O2q6h9qkUT+Sp8/hvh8ZAr9db/nqVzciRIzdv3lxb9QAAgJpzOmXBAtmyRTk6a5aMH+/bggAAAADAE1JSpG1bsds9vOzSpTJzpofX9I2zZ8/GxMSo1R446LG0tNThcBiNxpovVTdxGCYAAAAAn1KpZO5cue465eiyZbJtm28LAgAAAABPWLfO8706EVm71vNrVpHZbF68eHHfvn2bNm3q7+/fqlWriRMnbt++veLMDh06qFSqmTNnikhWVtakSZOioqKaNWtmtVovzikrK1u1atWQIUNiYmL0en10dPSgQYOWLl1qrrAhcfPmzSqVSqVSZWVlpaSkjBo1KjQ0NCAgQK/Xt2zZ8r777vvll1+8+gf3PQ7DBAAAAOBrarUsWCD5+bJvX/mQ0yn/+IeEh0vfvrVRGQAAAAC469NPvbLs4cOSnCzt2nll8Urs2bNn9OjRZ86cuTiSkpKSkpLy7rvv3nvvvWvXrtXpdBWfOnv27KBBg44fP15u/NChQyNHjkxJSbk4kpWVlZWVtWPHjsWLF3/yySd9+vSpuFpiYuLo0aNNJtOFby0WS2pqampq6rvvvjtr1qxFixbV09MTK6JdBwAAAKAW6PWybJlMnSpJSeVDNpvMmSOrVsmVV9ZGZQAAAABQfXl5kpjorcV//NHX7boTJ05cf/31F/pkXbt2HTRoULNmzQ4fPvzhhx+Wlpa+9957fn5+a9asKfeUzWa76667jh8/fvXVVw8YMKBFixYXWnrZ2dkDBw7Mzc0VkWbNml133XWdOnVKSkravn17SkpKRkbG0KFDDx482Lp163IL3n333SaTSa1WX3vttX379i0sLPz555/379/vdDqXLFkSHBz87LPP+uTvw+u4u06Eu+uAOoy76wAAaNhyc2XyZElLUwgFBckbb1FonpoAACAASURBVNTCB0gBAAAAwA27dkm/ft5afOZMWbrUW4srGjt27Icffigic+bMefnlly+2UVJSUvr165eRkaFWqw8ePNipU6cL4x06dDh69GhYWFhBQcHy5cunTZt2aedl+vTpq1evFpERI0Zs2LAhKCjownhJScmkSZM++OADERk3btz7779/YXzz5s233nrrha8DAwM/+OCD4cOHX1xt+fLls2bNstvtAQEBKSkpTZs29epfhW9wdx0AAACAWhMeLitWSESEQqiwUB55RNLTfV4TAAAAAFTf2bNeXPySAyl9Yd++fR999JGIjBo16pVXXrm08dayZcsVK1aIiMPh2Lp1a7kH8/Lyxo4dO3369EsfOXbs2Jtvvikibdq0+fTTTy/26kTE39///fffv+qqq0TkX//61/79+ysW8/rrr1/aqxORGTNmzJs3T0TMZvPLL79c4z9uncBhmCIi//rXv2q7BAAAAKCRiouTlStl6lT572UE/5OTI9Ony9q1Eh5eG5UBAAAAQJWZzV5cvLDQi4tX9M9//vPC8X6PPfZYxejNN9/co0cPu91eqFTWU089VW5ky5YtNptNRJ588kmNRlPxkSeeeOKuu+5yOp2bNm3q1q3bpaHWrVuPHTu24iOPPPLI0qVL8/PzN2zYsGTJkir/yeou2nUiInfddVdtlwAAAAA0Xm3ayGuvybRpUlJSPnT6tDz0kLzxhlzy+UsAAAAAqHP0ei8ubjB4cfGKdu3aJSIhISH9lM739Pf3//333xUf1Ol0HTp0KDd4/PjxC1/ccsstik9d3Dx34sSJcqFbbrlFscMXHBx84403fvjhh1lZWUVFRYGBgS7/MPUEh2ECAAAAqH1dusiLL4rSb2GSnCyzZ8tfb7MFAAAAgLpF8ZB/T/Hx7WxpaWkikpCQUN0HmzdvrlaXbzxdaNcZDIbIyEjFp4xG44X75yq261q2bOkqV+vWrS98cfLkyerWWQexuw5APfPnn38+8cQTlc8JCgq677774uLifFMSAADwiP79Zd48ee45cTjKh/bulSeekEWLlPt5AAAAAFDr2rWrr4uXY7fbi4qKRCQmJqa6z0YoNS3PnDkjItHR0ZdeaFdObGxsTk7OqVOnyo1XUkOzZs0ufHHq1KmuXbtWt9S6hnYdgHrm+PHjr7zyymWnrV69+s8//wwJCfFBSQAAwFNuvlmKimThQoXQjz/K88/Lc8+J69/vAAAAAKDWJCRIbKykp3tl8b59vbKsIo1Go9fry8rKcnNzq/usYkMuLi7u6NGjWVlZlTyYnZ0tIoYKh35mZma6euTigq427dUvHIYJoGFKT0/fsWNHbVcBAACq7c475b77lEOffy6rV/u0GAAAAACoumHDvLJskyZy9dVeWdmV6OhoEUlNTXU14fTp00lJSRXPrlTUpk0bESkpKXHVsSspKbnQlruQ91IpKSmulr14JV7btm2rUkYdR7sOQMOkVqsbxj/TAAA0QtOny223KYfeeUfee8+31QAAAABA1UyY4JVlx40Tnc4rK7tyzTXXiEhOTs6hQ4cqRh0OR8+ePa+44oopU6ZUZbUL7ToR+eKLLxQnfP31106n82LeS33xxRd2u73iI2az+dtvvxWR8PDw8PDwqpRRx9GuA1DP6HS6sMvp2LHj22+/3aFDh9ouFgAAuEOlkieflKFDlaPLl8uWLb4tCAAAAACqYOBA6dnTw2tqtfLoox5e87LuvffeC1+88MILFaPffvvthbMrBw4cWJXVRowYodVqReSll15S7L09//zzF74YP358udCxY8c++uijio8sX778Qg23ufqwZ31Du867CgsLDx8+XPX5EydOfPbZZ9evX//bb7/ZbDbvFQbUXzfddFPu5Rw+fHjixIm1XSkAAHCfWi0LFkjv3gohp1P+8Q/5/nuf1wQAAAAAl/Pyyx5ecOpUad3aw2te1vDhwwcNGiQiH3744fz58y9sfbsgLS3tgQceEBGNRjNq1KiqrNa+fftJkyaJyLFjx0aPHl1YWHgxVFJScvfdd//xxx8iMnbs2F69elV8/IEHHvjyyy8vHVm1atWzzz4rIgaD4bnnnqv2H69OUl36t4yaczqdO3fu/Pe///3TTz/t378/NzfXYDCUlJRU8fGgoKCioqILX4eHh48aNWrMmDFDhw718/PzWslAnabX6y0Wy6UjI0eO3Lx5c23VAwAAfKm4WB54QI4cUQjp9bJihXTv7vOaAAAAAKBSU6fKW295Zqn4eDlwQMLCPLNatezbt69Pnz4X3pvt1q3bgAED4uPjk5KS3n///eLiYhF55plnLu6KE5EOHTocPXq0d+/eu3fvrrhaZmZmhw4d8vPzRSQ+Pn7IkCEdO3ZMSkr6/vvvL9xOFxAQkJiY2LJlywvzN2/efOutt4pIVFRUVlaWRqMZMGBA7969i4qKdu7ceaG9JyJPPfWU4v6/+oh2nceUlpauWrXq9ddfv3i94QVut+suSkhIePHFF8eNG6dSqTxTK1B/0K4DAKCRy8+XyZNF8YLzgAB5801p397XJQEAAABAJcrKZMgQ+fnnmq6j18v330vfvp6oyS1ff/31+PHjc3Nzy42r1eopU6asXLnywhGXF1TerhORAwcOjBo16tSpUxVDcXFxn3zyyaUX111s173//vsbNmz4/PPPKz710EMPLV++vMH0TTgM0zO++uqrjh07zp49u1yvziNOnTp199139+zZc//+/R5fHAAAAKjLQkNl9WqJjlYImc3y0EOSlubzmgAAAADANb1eNm2SVq1qtIhOJxs21GavTkRuvPHGY8eOPf/88z179gwLCwsKCurZs+eECRN+/fXX119//dJeXVVceeWVR48eXb58+eDBgyMjI3U6XdOmTQcMGLB06dLk5ORLe3WXMhqN27Zt27Bhw5AhQyIiIvz8/OLj4++5556dO3euWLGiwfTqhN11HrFhw4aJEycqXpAonthdd1FAQMCGDRuqeBos0DCwuw4AAIjIyZMyZYoUFCiE4uJk7VqJiPB5TQAAAADgWkaGDB8u+/a582xwsPzrX3LTTZ6uqf64uLvus88+ayQ9EXbX1dTatWsnTJjgqlfnWWaz+fbbb1+9erUPcgEAAAB1R6tWsny5GI0KobNnZfp0MZl8XhMAAAAAuBYTIz//LDNmiEZTvQf79pW9ext1r65xol1XI5s2bZoyZYrD4fBZRofDMWPGjO3bt/ssIwAAAFAXdOokixeLn59C6MQJeeQRqfKRFgAAAADgCwaDvPaa/Pqr3HKLVOXUxnbt5N13ZedOadPG+8WhjqFd577CwsKHH374sqeJtmzZsuprvv7663/72986depUyRy73T5u3LiMjIyqLwsAAAA0AL16yQsviFrpl5jERHnqKfHJmRcAAAAAUA09esi2bZKUJPPnS79+otf/JapWS7t28sAD8t13cuSI3HtvlRp7aHho17lv3rx56enpiiGtVjtq1KiNGzeeP3/+zz//rPqad9999z//+c9Dhw4lJibOnj07ICBAcVpWVtbf//53d4oGAAAA6rPBg2XOHOXQTz/Jc8+JD0++AAAAAICqattWnn1Wdu6U4mJJS5O9e+X33+XoUTGbJSlJXn9dhgxR/mwiGgn+47vpzz//XLFihWLo+uuvP3jw4GeffTZ69Ojw8HD31u/cufOiRYuOHTt29913K0746KOPTpw44d7iAAAAQP01ZoxMnaoc+vJLWbzYt9UAAAAAQHWo1RIfL927S48e0r69GAy1XRDqBtp1bnrnnXdsNlvF8ccff/zrr7/u0KGDR7LExMSsX79+2bJlqgrbX+12+8KFCz2SBQAAAKhfpk6V8eOVQx99JO+849tqAAAAAAAeNWzYsMzMzMzMzGHDhtV2LT5Cu85NmzZtqjg4Y8aMl19+uWJrrYYeffTRefPmVRzfsGGD1Wr1bC4AAACgXpg5U4YPVw6tXi1Kr9YBAAAAAPWDXq+PioqKiorSl7vrr+GiXeeOP/744+TJk+UGO3XqtGjRIi9lfPbZZ3v37l1u0Gw2//bbb17KCAAAANRlKpXMnSt9+yqEnE55+WX57juf1wQAAAAAgFto17lj8+bNFQeffvppPz8/L2VUqVTPPfdcxfHt27d7KSMAAABQx2m1snChdOumEHI45JlnZPdun9cEAAAAAED10a5zx7Fjx8qNBAcH33HHHV5NesMNNzRt2rTc4G7egQAAAEAjZjDIq69Ku3YKIatVHntMDh70eU0AAAAAAFQT7Tp3pKenlxvp37+/Vqv1alKVSjV48OByg9nZ2V5NCgAAANRxgYHy2msSG6sQKi2VWbMkJcXnNQEAAAAAUB2069xRsV3XsWNHH+Rt06ZNuZFz5875IC8AAABQlzVtKqtWSXi4Qig/X6ZPl4wMn9cEAAAAAECV0a5zR0aFX/cjIiJ8kLfiYZg5OTk+yAsAAADUcfHxsmqVBAUphLKzZfp0yc31eU0AAAAAAFQN7Tp3OJ3Oy454Q2lpabkRh8Phg7wAAABA3de2rSxeLH5+CqG0NJk5U4qLfV4TAAAAAABVQLvOHbEVbsY4c+aMD/KePXu23EhMTIwP8gIAAAD1Qo8e8vLLotEohA4fltmzxWLxeU0AAAAAAFwO7Tp3VGySnTp1ygd5U1NTL1sJAAAA0JgNGCDPPisqlUJozx55+mnhfAoAAAAAQF1Du84dFXfX/fDDD8VePlvHbDZv37693CDtOgAAICJWhzOz2JaUbzl4vvRQbtmxAsu5UrvDF2d1A3XRLbfI9OnKoe3b5ZVXfFsNAAAAAACXo63tAuqlTp06lRspLCz89NNP7777bu8l3bJli9lsLjfYrl0772UEAAB1XKndeTi39Ei+Jd1srdic81OrEoJ0HcP07UL1GqWdRkADdt99UlAg772nEPrkE2nSRKZO9XlNAAAAAAC4wO46d4wePbri4MKFCy1euwrDarW+ovQx4FGjRnkpIwAAqMssDucP6ebVh3K/PWM+U6TQq7sw51iBZXNq4euHc/efK2WvHRqbGTNk5Ejl0Jtvyvvv+7YaAAAAAABco13njiuuuKJz587lBg8ePPjss896KeOLL7544MCBcoPNmjXr2bOnlzICAIA6K6PYtuZI3i9ZJZaqnXdZaHV8dbpofXJBkZU7u9CIqFQyd65cd51ydNky2bbNtwUBAAAAAOAC7To33XHHHRUHFy1atG7dOo/n+uSTT1544YWK47fddptKxclWAAA0LhnFts9PFZks1W68nTVb1yXlZxbbvFEVUDep1bJggXTvrhByOuUf/5Bdu3xeEwAAAAAAFaicTg5GckdWVlb79u0LCgoqhubNm/fcc895KtGbb7754IMPOhzl35LTarUHDhzo2LGjpxIBdZNery93zOzIkSM3b95cW/UAgM84nXKu1Ha+zF5qc1ocTj+1KshP3USvCdVrRCTdbNt7ruRIXlnV9tf9j06tGt82JMbIBcZoRMxmmTpVkpIUQgaDrFwp3br5vCYAAAAAAC5Bu859q1evnj59umKoT58+ixYt6tevX03WP3HixKxZs7Zs2aIYnTVr1pIlS2qyPlAv0K4D0Ng4RU6aLInny1IKLWV2hddpQTp121C/ruGGaKM2t8z+zemi1EJrtVIE6dQT24cG6jhlAY1IXp5MniynTimEAgPlzTelXTuf1wQAAAAAwH/RrnOfw+Ho3bv3b7/95mrC8OHDJ0yYcMsttxiNxmqtvHv37nffffedd94pKytTnBAVFZWcnBwcHFy9ioF6iHYdgEblWIFlR7r5XKm9KpNbBvtdFxfQ1KD5JatkR7q5Wi/p4gK097QN5VBtNCpnz8qkSXLunEKoaVNZu1ZiY31eEwAAAAAAIkK7roYOHTo0YMCAvLy8SuYYjcYbb7yxZ8+eXbp06dq1a7NmzTQaTbk5xcXFR44c+eOPP/74448vv/wyJSWlkgXVavXGjRtvu+02D/wBgDqPdh2ARsLmcH6ZVnQ4T/mTOq6oVTIwNuCaSP/jBZatpwoVd+O5ckN8YPcIQzXLBOq3EydkyhQxmRRC8fGyZo00aeLzmgAAAAAAoF1Xc7///vvQoUMVL7FzJSAgIDg4OCgoyOFwFBQUFBQUlOtGVEKlUr311luTJk1yq1ig/qFdB6AxKLI6Pjlpyii2ufd4l3D9sOaBGcW2D46Z7FV+aReoU/+tY5hWzQ47NC6JiTJtmpSUKITatpU335SgIJ/XBAAAAABo9LizpKZ69uz5zTffhISEVP0Rs9mckZGRnJx8/PjxnJycqvfqRGTZsmX06gAAaEhKbI71xwrc7tWJSGJu2acphXEBumHNA6r+VJHVcTS/Gi9CgIahSxd58UXRahVCx47J7NlSndfmAAAAAAB4Bu06D+jVq9fOnTt79uzp1SwhISHr1q175JFHvJoFAAD4kt0pm1IK88uqdFldJY4XWHakm7uEG3o09a/6U4dzS2uYF6iP+veXefNErfSb0N698sQTYq/pTyQAAAAAANVDu84zOnfu/Msvv7zyyisGg1fugBk2bNihQ4cmTJjgjcUBAEBt2X7WfLrI6pGlfskqScovGxRrDPar6gu802abzcG56GiMbrpJZs9WDv34ozz/vHBjAAAAAADAl2jXeYxGo5kzZ87BgwcnTJjg71+ND7ZXrmvXru++++6XX37ZrFkzT60JAADqgsxi294cpRu03PXdGbNTpF+0sYrzbQ7nuVK2EaGRuvNOuf9+5dDnn8vKlb6tBgAAAADQuNGu87C2bduuW7fu7Nmzr776aocOHdxex8/Pb9y4cT/99NOBAwfuvfdeD1YIAADqiJ2ZxZ7dwFNodfxxrrRzuCFQV9XXeHk1PocTqL8efFBuv105tG6dvPeeb6sBAAAAADRiSneso8bCwsIeeeSRRx55JCkp6Zf/SkxMtFd6D0ZgYGCvXr369u3bp0+fPn36hIWF+axgAADgY/kW+/ECi8eX3ZdT0ivSv1OY/tfsKu3bK7Vz5B8aL5VKnnhCTCb57juF6PLlEhwso0b5vCwAAAAAQONDu8672rdv3759+4kTJ4pISUlJVlZWbm5u3n9pNJrw8PCwsLCwsLDw8PCYmBiNRlPbJQMAAF84klfmjWULLI6zRda2oX5VbNfZuaELjZtaLQsWiNksu3eXDzmd8sILEhQk111XG5UBAAAAABoT2nW+4+/v36JFixYtWtR2IQAAoPalmqxeWjml0Nov2qhTq6yOy7fi9BqORkdjp9PJokUybZocPFg+5HDI3LmycqV0714blQEAAAAAGg3eoAEAAKgFmSU2b61cbFOrpImhSlv2Q/x4NQiIwSBLl0rLlgohi0VmzpSjR31eEwAAAACgMeENGgAAAF8rtjnKvHZpXF6ZXURC/arUrmtata4e0OCFhsqqVRIToxAym+Xhh+XUKZ/XBAAAAABoNGjXAQAA+Jr3enUiUmp3ioheo7rszCh/rb+WV4PAf0RGyqpVEh6uEMrLk4cflnPnfF4TAAAAAKBx4A0aAAAAX6vCpXLuc4pTRFSX79ZJ+1A/L9YB1EPNm8uyZWI0KoTS02X6dDGZfF4TAAAAAKARoF0HAADga1XZ+laDxdVShQ18GpWqSxOD98oA6qlOnWTJEvFT6mWfOCGPPCIlJT6vCQAAAADQ0NGuAwAA8LUAnVqr9lbHLtRPLSImi6PyaVc20QfpeCkIKLj6annhBVEr/XwkJsrs2WK1+rwmAAAAAECDpq3tAuqEF154QXE8ISHhnnvuqdYjvvT000/XdgkAAMAdKpEIgyaz2OaNxZv6a0XkfGlli/tr1f1jAryRHWgYBg+Wxx+Xl15SCP36q8yfL88/r9zPAwAAAADADSqn05t3p9QTKhe3uwwaNGj79u3VesSX+G+HxkCv11sslktHRo4cuXnz5tqqBwA8wimyI938S5ZXztS7o3VwjFG7PDHX1QS1Su5sHdIiSOeN7EBD8tZb8sYbyqE775Q5c2q6fqndedJkOV1kPVdqL7Q6yuwOnVpl0KjD9ZrYAG2rYL8Ig6amOQAAAAAA9QG76wAAAHzNZHFcEar3RrvOoFG1CNKdKqzsqL7r4gLo1QFVMWWKFBbK++8rhD76SCIi5P773Vw5p9T+a1bx0XyLzfGXT+CViNMkjuwS29H8su/PmqON2qsj/TuG6uvAZwUBAAAAAF5Euw4AAMDXbA5ntFEbY9RmePo8zK5NDBqVam9OqWJUJdI/xtizqb9nkwIN2MyZYjLJtm0KodWrxWiUsWOrt6DF4fzhrPmPc6VVOSgjs9i2NbVwj3/JsOaBMUZ+dwMAAACABov7FgAAAHwtVK8ptjn6RRs9u6xOreoV6W91OE+YLBWjfmrV7a2C+0YbUwqt+WV2z6YGGiqVSubOlX79lKNLl8q331ZjtQKLY31ywb6q9eouyiqxrU8uOJRbVp2HAAAAAAD1Ce06AAAAX9Oo5KzZ1ibEr02InweXvTbGGKhT/5mn8J5+mxC/+68IbR3s93Nm8Y5085ZThXtzSuxcgwtUgVYrCxdKt24KIYdDnn1Wdu+u0joZxbZ1SfnZJe7sqbU7ndtOFe5IN7vxLAAAAACg7qNdBwAAUAtijNqsEtstzQND/TQeWbBNiF+vSH+HU37KKL44qFWrOobpJ7QLHdMq2CHyZVrhsQKLiDickphbtjnV5PHTOIEGSa+XV1+Vdu0UQlarPPaYHDx4mRWKrI5NJ03FNkdNytidVbI3p9TplHPnarIMAAAAAKDO4f4DEZG5c+cqjrds2dLVIytXrvRaOQAAoOEL1KmTC8oCQ/V3tA5+Nzm/rGY73ZoYNCMSglQix02W2ACtXq0KN2ijjdpmAVqdWlVgse/MLD5psjj+msRkcXxzuqhVsO7qSKNBo6rRnwdo6AID5bXXZNIkSU8vHyotlVmz5K23xNVvD1aH8+MTpkJrjXp1F/z7bFETgybSqPvqKxk2rObrAQAAAADqBJXTySlIAOouvV5vsfzlBqaRI0du3ry5tuoBAA9yOOX7s0WD4wIyim2bTha6ve0m2qgd3So4QKtWK3XcskpsO9LNxbbKXvL5qVU9mhrah+rdKwBoPE6flsmT5fx5hVBkpKxdKzExCqF/nzX/ll3iqRoCdeqpHcI++0S1b5+8+KKoOTAFAAAAAOo/frcDAACoHWqV9I8J+O6MOdKgva99aJS/O8cedAjT3902xKBRKfbqRCTKX3try+AOYXqVyuX+OYvDuTur5KvTRSZP7P4BGrD4eFm5UoKCFELZ2TJ9uuTmlh/PK7PvzfFYr05EiqyOX7JLxoyRbdtkwQIPLgwAAAAAqDW06wAAAGqNXqO6JtJ/y6lCh9N5b7uQa6ONOldttwqCdOqRLYJGtQgqszsrf8pPrbom0v/m5oGhfpW99ssstm1OMe0/X+rg9AXAtbZtZfFi8fNTCKWlyaOPSnHxXwZ/zS5xePpHam9Oic3pnDZN5s+XjRs9vDgAAAAAwPc4DBNAncZhmAAasHyL/Y+c0l5R/lqV6svTRa2DdV3CDcU2x75zpYdyy/LL7K4ejA3Qdg03dGmidzql2OYI9tNUMaPDKYfzyvafK6n8prxwvaZPlH9Tt3b7AY3Ejz/KY4+JXenH9Oqr5bXX/tPPszmcKw7l1vBySkU3Nw+ME0NUlBgMcuCAtG7t8QwAAAAAAN+hXQegTqNdB6ChOmmy7MoqsTmc/lr1dbHGCIP295yS5AJLz6b+bUP81Co5X2o/a7bmltmLbU6L3WnQqgK16giDplmgLlCnttidZ8zWKKM2QFvtwxIKrY7dmcXpxbZK5qhUqnYhfj2bGqq+2w9obL74QubNE8VfpwYNkoULRa2WEybLxydM3sjeNsRvdKvga66RPXtkxAjZssUbSQAAAAAAPsKHpgEAAHzK7nT+nlN6JK/swrclNsdXp4u6N/Xv0dS/SxPD3pySX7JKYoyahCC/hCBd1yaGiw86nJJXZk8ttJbZHfGBulbBSofxVUGQTn1DfGBqofWXrJJSu/JldU6nMym/LK3I2jvSPyFI514ioGG7+WbJyZEVKxRCP/wgS5fK7NlyusjqpewXVu7TR/bska1b5fffpWdPL6UCAAAAAHgd7To3JSUlXfptUFBQbGyst5MWFBRkZmZeOhIZGRkWFubtvAAAwFOKbc7t6eackr/sbLM75bfskmP5lq5N9H2jjf2iJbPYdrrIetJkMVvtolIZNCqNWhWoVccGaNuF+vl5YsdbiyBdjFG771xpcn6Zq8MWSmyO7enm+EBd7yh/N7bxAQ3exImSny/vvacQ2rdPRORcqctTbWuo1O4ssjrat//PD+aqVfLOO15KBQAAAADwOtp1brriiisu/XbMmDEff/yxt5Pu3Llz+PDhl47MnTt3wYIF3s4LAAA8IrPY9kO6udTFLVb5FvvpImvzQJ1WrYo2aqONXn+dpteo+kT5twrW/ZxZbLIob7MTkdNF1oxi25VNDJ3D9ZyMCZQzY4aYTFLxoO4mTUREiqwuf7JqrsjqiI7+T7tu0yZ5803RsRUWAAAAAOonPiVdn7Rt27bcSHJycq1UAgAAqsUpkphb9vXpIle9OpVIj6b+A2MDtD6/Ky7KXzuqRXC3CINa5TK1zeHcm1Oy7VThea9tFQLqKZVKnn5arruu/LjBICJidXjxpnCLwxkY+J+vTSb57TfvpQIAAAAAeBftuvok8OKv4/9Fuw4AgLrP6nD+kG7em1Pi6m37AJ365oSgLuF6n5Z1CY1KujUxjEgIjPSvbEvf+VL7tlOFv2aXeLUDAdQ7arUsWCDdu/9l0GIREdG67oLXnFalKin537f793svFQAAAADAu2jX1ScOR/mzdLKzs2ulEgAAUEW5ZfYtqYWnCq2uJkT5a4cnBDU1aHxZlaIwveam5oF9ovx1rnf4OUWO5JVtSS08a3b5JwIaIb1eli2TS8/L0/gzqAAAIABJREFUN5lERPy1XmzXGbWq3Nz/fXvihPdSAQAAAAC8i3ZdfZKRkVFupLCwsFYqAQAAVXHCZPkirajQxeVVKpEOYfphzQP9NXXlSjiVSPtQ/e0tg1oHV3YFVqHV8e0Z8w/p5hKbF+/lAuqXgABZsUISEv7zbVqaiEi41zrxWrUqxE9z6Vkb+fleSgUAAAAA8DradfXJ1q1by42UlpbWSiUAAKBydqdzd1bJTxnFNhfnRurUqkFxAddE+teVTt0l/LXq/jEBQ+ICAnSVvVZMLbR+llqYlF/GyZjABWFhsmKFRESIiBQUSHq6xAVU1vmuiVijVqWSffv+N+LNczcBAAAAAN5Fu64eKC0tTU1NfeWVV5YsWVIuFBcXVyslAQCASpitji/TipLyy1xNCDdoRrYISgj01vv4HhEfqLutRVCXcH0lLYAyu3N3VslXp4vyLXbfVQbUYbGxsmqVBAeLiPz2m7QMquRw2RppFexXViY7d/5vJDTUK4kAAAAAAD6gre0C6iKDwWC3V+8tp08++USn88o7bk6ns5JiWrRo4Y2kAADAbWfMth/TzRYXm+pEpHWwX58of62X3sL3KK1a1aOpf8tgv12ZJedKba6mZRXbtqQWdgrTd4swaNjgg0avdWt57TWZNk2+/VZGjVK3CvY7XmDxbAq1SjqG6bdtFbP5L3kBAAAAAPUU7ToFdrvdZnP5hpQip9NZ3Uc8gnYdAAB1h1PkUG7ZvnOlTqdyr06jUvVoaugYpvdxYTUUrtfckhB4JK/sj3OlVhdtSIdTEnPLThXZ+kT5xxh5hYnGrksXWbxYZs2Ss2flmkh/j7frOoTpg/3Ub775l8Fu3TybBAAAAADgOxyGWb9df/31tV0CAAAQESmzO787Y96bU+KqVxegVQ+LD6h3vboLVCIdw/SjWgQ1q/QiLpPF/s3pop8yzGV27rNDY3fNNfLMM7JuncQH6loH+3lwZa1a1T/auGePfPPN/wZDQuTqqz2YBAAAAADgU7Tr6rErrrhi7NixtV0FAACQ86X2racKz5qtriZEG7XDEwKb+tfvbWeBOvXQZgFD4gICdC5fQzpFTpisn6aYTpg8vJ0IqHeGDZO2bSU5WW6ID/TXeuw3rwExxmCd5tFH/zI4Zoxo6/c/MAAAAADQqNGuq8fmz5+vVvNfEACAWnbCZPkirbDI6lCMqkS6hOtvbBbgwTfra1d8oG5UQlCHML3K9TV1pXbnTxnF350pcvXXAjQSd9wh+/eLzqa+rWWQRy6s7Byu7xXpv2iR7N79v0GVSqZP98DiAAAAAIDa0kDeNmps/Pz8li1bduedd9Z2IQAANGp2p/ycWfxTRrGrox/91KqhzQJ7NPWvpLNVH/lpVNdE+g+LDwjVayqZdsZs+yy1MDG3jJMx0Zjdead8+63EB+hujA+s4T8E8YG6YfGBn38uTz31l/Fbb5WrrqrZ0gAAAACAWsWBKQqaNGlit9srn3Pu3LlLv/Xz8wsODvZmUSIi/v7+MTExgwYNmjJlSps2bbydDgAAVMJkcfyQbs4tc/maIVyvGRwXEOT63Mj6LspfOzIh6HBe2f5zpXYXN/bZHM69OSUphZa+UcYIQ2W9PaABGzFCvvlGbrzREKhTb0ktdO9yx65NDDfGBxw6qBo/XhwOEZHu3WXoULn2Whk2zMMFAwAAAAB8TOV08d4KKlfuM/Jjxoz5+OOPa6sYoAHT6/UWy19uPxo5cuTmzZtrqx4AuOB0kfWnzGKL6/fcWwfr+kYHaBrUnjqXTBbHL9kl6a6v7hMRlUrVLsTv6qYN5kxQoHqsVvnwQ7nzTjE57FtSC7NLbFV/1k+tGhgb0KOpYcsWuecesdlk0iSZNk06dBCnU3JKbedL7YVWh8MpKpUEaNVNDJpIf20j+fcHAAAAABoGdtcBAABUg1PkwPnSA+fLXH3mSaOSa6KM7UL8fFxYLQr2U1/fLOCkyfJbdkmpixam0+lMyi87XWS9JtKQENSI/nKAC3Q6GTNGFi2SKVM097UPPXi+dHdWSYHlMkd6aFTSpYmhX7TRqFa/+KI884zceacsWSKxsXKqyLr1VOmJAoviD51OrWoRpOscbmgX4tewzuIFAAAAgIaJdh0AAEBVldodP6YXpxe73BYToFMPjg1ohKc+qkRaB/vFBeh+yy4+YXK5za7Y5tieXhwfaO0TZTRq6SGgcTEYZPp0mTFDhg6VceMMVzYxpBZZk/PL0oqseWV2xyVNN6NWHRugbRXs1yHUz1+r3rFD/v53SUyUN9+USZPkjNm6Lsmc4fofIhGxOpzHCizHCixhes3g2IB2ofTIAQAAAKBOo10HAABQJedK7T+km4usDlcTmgXo+scY9Y34BDqDRtU/JqBtiG1XZrHJ9V/U6SJrVrGpW4ShQ6ifio0/aExCQ2XxYpk0Sdavl7lzZcAAXcsgnYjYnVJktZfZnTq1yl+rNmhUIlJWJocPyvbt8uWXYjLJd9/Jtf3lh3TzL1klVc+YV2bflGLqEKa/uXmgTs2PGwAAAADUUdxd5yburgN8g7vrANQRSfllv2aXOly8cFKJXBlhuDJcT/PpArtTEnNLD54vc/U3dkFTg6ZfTECoH9fZoXFJS5PJkyU3V3r1koULRa2WXbvEYJB27SQiQtT//YEoKpLAwP987XSK1encllqYXGBxtWzlovy1o1sFB/PjBgAAAAB1Er+tuemKv4qNja3tigAAgFdYHc4d6ebdWSWuOk8Gjer6ZoHdmhjo1V2kUUm3JobhCYFNKz0XNKfUviXV9Gt2ic3BB8jQiDRvLq++Kkaj7NkjEydKdrYMHSrXXitnz8qCBTJ0qMTFiUolQUGiUklkpPz0kzhEPj5hcrtXJyJZJbb3jxeU2FxuewUAAAAA1CIOw3TTkSNHarsEAADgdSar4/uz5vwyu6sJTQyawbEBgTo+AqUgXK+5uXlgcoHl95xSq4uGnMMpR/LKzhRZ+0QbY428NEVj0bGjLFkir78uzz8vMTHyr3/JK6/I/v0KM6dNk/795Yu0otNFLm+FrKL8MvunKYVj24RwKCYAAAAA1DUchgmgTuMwTAC1KK3IujOj2OJ641f7UP01kQY1m+oup9jm+DW75FThZZoNLYJ0vaP8DRp6n2gsHA45flzuu09271ae0LGj/PGH/Gkq/ep0kaeS9or0vy4uwFOrAQAAAAA8go8wAwAAlOcU2ZdTcii3zFWnTqOSPlHGNiF+Pi2r3jJq1YNjA04XWX/JKjG7PosvtdCaUWzrHmFoF6qnBYrG4Lvv5K67JD/f5YQFC8SudvyQbvZg0t9zSjqH6yP9+U0QAAAAAOoQfkkDqq24uHjMmDEXd6bOnz+/V69eXsq1a9eujRs3Jicnnz59Oi0tzWazxcfHx8fHt2zZctSoUddff71W662f4lpMDQC1q8Tm+DGjOKPY5mpCsJ9mcKwxTF/ZrWyoKD5QF2XU/nGu9Gieyz5omd25O6vkpMnaN9o/xI+/YTRkb78tDzwgNpf/0kibNnLrrbIzq7TU7skDURxO+Tmz5LaWQR5cEwAAAABQQxyG6Y5hw4bZ7eXvsFm3bl1sbGyt1AMf27Jly6hRoy5+u23btltuucWzKYqKihYtWvTee++lpKRUMi0iIuLOO++cO3duTExMA0itiMMwAfhYVrHth4ziEtc7wOIDtf2jA/w07P5y3/lS+66s4vOlLm8EFBGNSro0MXQN13PWKBqk776Tm26qrFcnIgsWyFNPy8pDucWu/0Vyj0rkwU7hwX4cPAsAAAAAdQXtOncYDIaysrJyg4mJiZ07d66VeuBjkydPXrt27cVvPd6u+/zzzx988MHTp09XcX5oaOiiRYsmT55cr1O7QrsOgM84RY7klf2eU+LqrjqVyJURhiubGGgf1dyFv+1950ptrq8GFJEwvaZPlD+n9qGBOX5cevWSvLzLTDt4UIwJlo9PmLxRw3VxAb0i/b2xMgAAAADADXyg0h1Wq7XiYHFxse8rge+VlpZu2rTJS4s7HI6pU6cOHz686g0zEcnPz58yZcpNN91UWlpaH1MDQF1gc8iOdPOebJe9OoNGfUN8YDd6dR6iEukYph/VIig2oLJWXF6Z/cu0op8yzJZKu3pAPeJ0yuTJl+/VNWkinTtLaqHC7x0e4b2VAQAAAABuoF3nDn9/hQ+imkxe+dwr6pqPP/4477Lvr7jF6XROmTLlrbfecu/xr776avTo0Yq95LqcGgDqgvwy+5ZUUyVvXkf5a0e2CIwxssfLw4J06huaBfaPMRpcHy7qFDlhsm5OLTxVaHE1B6hHtmyRHTsuP61TJ1GpJMv1JZo15L2VAQAAAABuoF3njujo6IqDBw4c8H0l8DG73b5o0SIvLT5jxoy3337bVTQiIqJ37979+vWLiopyNeeLL74YP358/UoNALXupMmyLa3IZHV5NVTHMP2N8YFGLa+avKV1sN+tLYPbhPhVsnPRbHVsTy/+/qy52MY2O9RvCxdWaVrLliIieWWVXfFYE2abw2LnpwkAAAAA6greeHJHnz59Kg7++uuvvq8EPrZ8+fLExERvrLxjx46VK1dWHDcYDNOnT09NTc3Jydm9e/fOnTszMzMzMjIef/zxoKCgivM3btz48ccf15fUAFC7nCJ7c0p+zCh2dX2aTq0aGGPsFemv5gRMLzNoVNdGG2+MDwzx01QyLa3IuinFlJhbRpMB9VRysuzaVaWZwcEiImXe7KiV0q4DAAAAgDqDdp07Ro8eXXFw586ddru3Pv2KuuCTTz6ZM2eON1Z2Op2PPfZYxfFmzZrt379/5cqVCQkJl45HR0e//PLLR44c6dChQ8WnnnzyyaqfS1mLqQGgdpltji/SihJzy1xNCNVrhicEtgz282VVjVy0UTuyRVDXcH0l/VGbw7k3p+TzU4W5Xtt1BHjP1q1VnalSiYh4tZ9Gsw4AAAAA6g7ade4YOXJk+/btyw1mZGRs3LixVurB/2fvzgOjKO//gX9md2bv3WzuOyQknIqiHBEUBJF6IYIWxX5rvUWrVu3Ptl+L39ba1q+tX7XWymFrrYpWkUMUEEQQ8OAS5IYAue9jk83eO7Mz8/sjFuNe7G52kw28X3+ZZ2ae58Ekm915z+d5Es1qtT722GPz58/3+RKyycd77723Z88ev8bi4uIvvvgi8CfttPz8/G3bto0ZM8avvbKycsmSJck/NADAAGpx+T6qsbe7Q76qFxm4a4vOUOkFiaBk6OJM7ZxiY07YnQI7POJHNfZdbW4hRGUkQHL68stIz7TbiYjUobd17LuEdg4AAAAAAABRQVwXC4VC8fe//51h/D/f/jnCnShgkLBYLGvWrLntttuKior+8pe/JCirEwTh17/+dWD7P/7xD7/KtkCZmZlvvfUWy/rf0Hz66aftPfd4knVoAICBIhMd6vRurHeEWgWOIRqXqb0iX6/CCpgDx6RSXlVomJKrCxMnyETHurxrauwNThR2w6Bx/HikZ9bVEREl7qEBjZLRIK4DAAAAAABIGojrYjRlypQ//vGPfo379u37wx/+MCDzgbg4efLkG2+8sXDhwnnz5pWVlWVkZMyZM2fZsmUJzZ8+++yz6upqv8Zbb711xowZkVx+4YUX/uxnP/Nr7OjoWL16dTIPDQAwILyivKXRubfdHaogS88prikyjElT9+u0IBiGqNSkmlNsLDZyYU5zCNKnDc5tTU7swgWDQmtrpGceOUJElK1NVFyXrQ1XwAoAAAAAAAD9DHFd7J544olHHnnEr/E3v/kNlsQcvBYtWnTHHXc888wzK1asqKys7J9BV61aFdj4+9//PvIe/ud//kej0fg1RpKZDeDQAAD9r9Mrrq211ztCVmLl6NhZRYYs3MJOJlpWMS1PPyNfr+fCvWuttgurq20nu3lEdpDkXK5Iz2xpoRMnaEjYuPqM1ErGrFaa1UoDp/ArGO5jzwAAAAAAABBfuCHVJ3/5y18yMzOffPLJ0y2yLN9yyy1PPPHEU089FbhOIIAfSZI++OADv8YpU6aUlpZG3onZbJ49e/by5ct7N27cuNHlcul0uiQcGgCg/1XahB2tLl+Ifc4YopGp6gmZWqx/mZwKDVyujj1g8Rzu9IYK5Lyi/GWL61Q3Pylba1Zj00FILqJMNl5MVSu1WvJ4Ir1q7Vp6+FGVWsl4oykeTdcoR5jVQwxcto7tvdylJFOXV2xwClU2/lS3MCoVZcQAAAAAAABJBNV1fbVw4cLVq1ebzebTLZIk/fGPfywvL3/33Xd5nh/AuUHy27FjR2vAokg/+clPou3n9ttv92txu90bN25MzqEBAPqTKMu72tyfNztDZXWsgqbl6cuzkNUlNVbBjMvUXl9szNCEi+Ja3b4Pa+17292ijEI7GHiiLNc7hM+bne+e6j5g8RBRTk4Ul7/5JnEK5vw0/5UMQhmWorpteMq9o1Ivy9GxCjrc6dnU4FhTY/+g2r6u1vFli6vd4ytLUc0tMT1yQVoqUm0AAAAAAIBkgvKvOJgzZ87YsWPvuOOObdu2nW7ct2/frbfempmZOW/evPLy8gkTJowYMUKhQD4K3xNY30ZEc+fOjbafH/zgBzqdzvX99ZVWr14dpqsBHBoAoN84fdLWRme7Rwx1glmlnJavM6tw23pwSFMrrysynOjm97S7fVLwcySZDnV6ax3CJVnaPD2W+4MBIBO1uX1VNqHaxvP/eVCgm5eIaORIOnYs0n4OHKBNm6j8cu1Bi0cI8cBBj1S18uoiwxADZ/GIn9Q7jnZ5w+zmWGjgLkzXjE5V4xkFAAAAAACA5IG4LkYVFRV+LYsXL166dOnLL78sSd/dPWpvb1+0aNGiRYuISK1Wp6Wlmc1ms9ms0+kYpq+fjzdt2tTHHsDP7NmzCwoKwpzQ2dn5zDPPxHHEvXv3+rWUlZWlp6dH2w/LsuPHj9++fXvvxq+++io5hwYA6B/NLt/2ZlfIVIdoqEk1OVvL4o71oMIwzAizukDP7W731NpDLmNg46VNDc6hJm5Clq73eoAAiSPLcptHrLEL1TY+MC3r5kVBki+9lIlqk98nn6QdOxSTc3TbmpyhzikxcjeUmCRZXldrD7Ng7Gn1DqHeIXzR4royX1+WoopiNgAAAAAAAJAwiOtiNHLkyGgv8Xq9zc3Nzc3NiZgPxMX06dOnT58e5oTa2tr4xnXHAp6vLi8vj62r8vJyv8ysqqrKZrOZTKZkGxoAINFkosOd3n0dHjnEiohKhhmXqRmNrZsGLT2nmJ6nq3dwO1pdLl/w77JMVGkTGp22CVnaUhMyCUggKy/V2PlT3bxDCPl8gCRTi8s3axb3+ONR9Lx7Ny1eTD99UNvoFE51B8mnx2VqZ+TrW1y+VdW2MKMHmbNXXFFlG5+pvSJfj4cWAAAAAAAABhzWZgQYMF1dXS0tLX6NfcnM/FpkWT548GCyDQ0AkGheUd7c4Nzb7g6V1elY5upCPbK6s0ChgZtTYhqVqg6zaIFHlD9vdm2od9iiSTIAImHlpf0Wz6pq+wfVtv0dnjOmZdV2YcQImjw5ulEee4y2b6PZQ4yZWv9HLc9PU88s0B+3et851R1VVnfa1+3u9yu7w6ycCQAAAAAAAP0DcR3AgAmsb6OYCjd7jBgxIrCxsrIy2YYGAEgoi0f8qNbe4BRCnZCjY2cXmwLvesMgpVIw5Vnaawr1ZlW4t7UtLt+aatt+i0cKEeICRM4hSEe7vB/VfpvS2fiQu2P6qbULHlH+5S+jG04Q6OabqbmBubnUlKH5bqPNfD17TZGhysZ/VGv3hd3ZLrxqu7CyyobADgAAAAAAYGAhrgMYMEEzs/Cb54UR9MLa2tpkGxoAIHEqbfz6OnuoEhOGaEya+qpCA3YyO/tkadnZxaZxmdow31tRpv0dnrW1jnZPpOEKQG8un3y0y7u+zrGyyra7zW2J5geJIcrVsZNztCoFM3s2XX55dEO3tdFVV1Fnk+LHw80jzCoi0rLMjSWmTq/0QbW97xl0vUPY3Ojoay8AAAAAAADQB3i0HGDAVFRUBDbGnJmZzWaDweBwfO9WS01NTbINDQCQCKJMu1pdJ4Jt7NSDUzCX5eiGGLn+nBX0JwVDY9LUxUbuqxZXs8sX6rROr7i+zjE8RTU+U8Nhwy6IAC/J9Q7hVDff4hZDLbEbCsMwmRplsZEbauI0yu8elPzHP2jiROrqiqKrigqaPJnefZeZO8V0vMsrEWlY5u2T3Xwf6up629fuKTJwI81YJRgAAAAAAGBgIK4DGDBtbW1+LUaj0Wg0xtxhQUHB8ePHww8x4EMDAMSdQ5C2Njk7Qle6pKmV0/P1Rg6LCpz9jJziqkJDjV3Y2eoKtR2XLMsVVm+9QyjP0iLBhVB4Ua53CjV2odEpxJCIpWuUpSZViZHTskFeecrK6L336NpryRcyWQ6iqYmuuIIee4yeekqt09HOVnenN56lopsbnGUmFYsYGwAAAAAAYCAgrovRp59+OtBTgEGvs7PTryU3N7cvHWZlZfllZl0hHtsewKGJqK6ubteuXRH2LEnBF7UDAOhR7xC+aHF5Q2+7VGriJmXrcAP6nFJs5PL0pr3tnhNWb6ifDJdP+qzJWWjgLsnW6oMFKnBuEmVqcgo1dr7W4YthQzizWlls5EpNqjM+HzBzJi1aRA88QGI0iZvPR889R6WldNe98u42d7TTC88uSAc7vRdnaOLbLQAAAAAAAEQCcV2MZsyYMdBTgEEvMDPT6XR96VCr1fq1RB7X9dvQRPT555//+Mc/jnksq9W6d+/emC+Pl+HDh/elHhEA+k4mOmDxHLB4Qy1Pp2SYiVmaEVjb7ZykUjCTsrVDTdyXLS4bH/LJj3qH0OLyXZShGZWqRqJ7LhNlucnpq7HztQ7BF/2TQgZOUWLkylJUKSpl5Ffdey8VFtKtt5LVGsVYLEtz59IJK++KYaJn8k2HB3EdAAAAAADAgEBcBzBgnE6nX4tG06f7I4GZWXd3d7IN3Xfbt28fP358gjqPnNlsXrt27aWXXjrQEwE4R3lEeXuzs8kZciE5PaeYnqfP0ERx6xzOPtla9oZi06FOz0GLVwoR6wqSvLvNXWnjJ2fr0vEDc46Ridrcvhq7UG3jQ62eGoaeVRQZuWIjl62N8VPV1VfTzp105520Y0ekl4wfT1lZ9HmVN7YRw2t3+yweEb8IAAAAAAAA/Q9xHcCA4Xner6WPmVng5YIgJNvQZw2r1frUU09t2rRpoCcCcC7q8Pi2NrkcQsjKkgI9OzVPr8ICmECkZGhsumaIgfuq1d3uDpnvWjzi2lr7yFT1uAwNlk4968my3OYRa+xCjY13R5/SqZVMsVE11MRladm+/6yMGEFffEHLl9Ozz9KBA2c4uaSEnn+eZKI6R6LeaNU5BMR1AAAAAAAA/Q9xHcCACQy0+i0zG8Chzyah1t8DgISqsHp3tXlCVUoxROenqS/O0DAMEhf4TqpaeW2R4YTV+3W7RwixIZlMdKzL2+AQLsnW5uu5fp4h9A8rL9XY+cpu3h467w9FrWQK9GyxUVVg4OL7+qJQ0Pz5NH8+7dtHH35I27fT0aPU2vrt0bQ0GjmSJk+m666jqVNJoSArL4bZsLOP2kKn2gAAAAAAAJA4iOsABozP5383RKVS9aVDjvO/txhYRTfgQ581UlJSfvvb3w70LADOLaJMO1tdJ7tDvryolczUXB2CFgiKIRphVhcZuK/b3ZW2kM+U2AVpU4Oz2MiVZ2m1rKI/ZwiJY/WKNQ6hysaH2cgwFCVDhQau1KTK17OKBD8HcPHFdPHF3/63LJPVSiYTKQNK3bqj/1dELqGdAwAAAAAAQCiI6wAGTOB+b32sSAtMyAJTtAEfuu+mTp36wgsvJKjzyA0bNsxkMg30LADOITZB+qzR2eUVQ52QrlFOz9MbOOQrEI6WVUzJ1RcbhZ1tbmfo+qoau9Ds8l2coRluVqNOc/ByClKtQ6ixCzFUjCkZytNzxUZuiIEbkPVRGYZSU4Mf4hNWWkdEXhFxHQAAAAAAwABAXDfI/OIXv/B4PKe/vOuuuy666KIBnA/0hV6v92vp/c2NQeDlgUMM+NBENGXKlOXLl0fY849+9CO/WkCz2Txu3LhoZwgAg1q9w/d5izPMHepSEzc5R69ErgKRKTRwuTr2gMVzuNMb6qfKK8o7Wt3VdmFStjZFha28BpPTKV272xdtrsUQZWrZUhM31KTiknUXw4TOCysJAwAAAAAADAjEdYPMRx99VFFRcfrLlJQUxHWDVz9kZgaDIdmGJqKioqKioqIIe/7xj38c+7QAYPCTifa1u8NkKkqGLsnWDUvp04q+cA5iFcy4TG2JSfVVi7vDE7L0qsXlW1NjPy9VPTZDo0SMkdy8otzgFGrsQoNDiDqlY5hMjbLYyJUYueRfBFWdyGcTtHjwAQAAAAAAYCAgrhtkurq6en+5Z8+egZoJ9J1Op/Nr6WNm5vV6/VpClbgN4NAAAJHziNL2ZneTM+RqvSaVYlqePk2NyieIUZpaed0Qw7Eu7zcdHkEKHvFIMh3q9NY6fJOztTk6vHlOOj5JbnD6Km18ozPU9zAcs1pZalKVmjhd0qd0p6Um8kUvoZ0DAAAAAABAKLjjMJg0NTW1tbX1bjlx4sRATQb6LjDQcrvdfekw8PLIq+v6bWgAgAi1un1bm1xuX8hdlAoN3JQcnQqFINA3DNHoVHWRgdvZ6m4InQ3beHFjvWOoiZuYpUtobRNESJSpySnU2Plah88XfUxnViuLjdxQo8qkGjQp3Wl6VmFSKWx8QjaZy9GxvCjjpRUAAAAAAKCfIa4bNCRJ+tWvfuXXaLFYBmQyEBeBmVl7e3tfOvRLcymauK7fhgYAiESF1burzR3qDjxDdGGG5sI0NfZYgngxcIorC/Q1dmFXmztUSCwTVdqEJqdtfJa21IT1VweGTNTi8p3q9tY6hNBpfkgGTlFi5EqNhTssAAAgAElEQVRTVOZBvh9hsVF10NKnpRGCYhgaYuRqHUKr23dpjg6vsAAAAAAAAP0GcV2ctbe3NzU1NTc3O53OePUpSVJdXd3KlSt37NgReCheo0D/Kygo8GuxWCwej0ej0cTWYWNjo19LRkZGsg0NABCeT6IvW1zVdj7UCRolMzVPn4c1CSEBio1cno79xuI5buVlOXhc7Bblz5td1Tb+kmydgRt8hVmDlCzLbR6xxi5U2wSPGPUbYB3LDDGqio1clpY9OyKo0anqRMR1xQZOzypq7UKDU+BF+fI8ParsAAAAAAAA+gdudcVHXV3d66+/vmLFisOHD/fnuMXFxf05HMTX8OHDAxsbGxtLS0tj6M3pdNpsNr/GESNGJNvQAABh2HhpS6PDGnqFtwyNclqeHhkJJI5KyZRnaYsN3I5Wt5UXQ53W4PR9UGO/MF1zfpoacUZCWTziKRtfYxfCLI0bilrJFOjZshR1ju4sSelOKzZymRpluyfkj2hsxmdpXT6pySUQUZ1D2FBnn1Gg1yjxkgsAAAAAAJBwiOv6ShTFl19++cknn4xjOV3kENcNavHNzALr26i/4rqohgYACKXaLnzV4hJC70E1wqwuz9IosAAmJF62jp1dbDzS5d3f4RFDlNn5JHlvu7vazk/O1mVo4r+yYr1DqLELTS5fl1f0+CQiUioYE6fI0rJFBq40RaU5q+uerLxUY+cru3m7EHVKp1IyhXq22KjK13OKs/d/0pRc/apq/+el+iJfz5WaVHt6LUTc7hHX1zmuzDcMxh3+AAAAAAAABhfEdX0iiuL8+fNXrFgxUBO4+uqrB2po6Lthw4YFNp46dWrq1Kkx9FZVVRXYGCozG8ChAQACyUT72t2HOr2hTuAUzOQcXYmR689ZwTlOwdCYNPUQA7ezzd3kFEKd1ukR19U5hqeoJmRq2XgkGoIk7+/w7G33BKntE2WnIDW7fAcsHlbBjDSrJmXr0hOQFA4ghyBV24VT3Xx36NLGUJQM5em5UpOqyMCeC7n+cLNqWIrqZHfIpYOjomSYqwr1dkE6bv3eS7GNlz6us88sNKSpz6qfNAAAAAAAgGSDxyT7ZMGCBQOY1Q0dOnTBggUDNTr0XVpaWnp6ul/j119/HVtvgRcqFIqgsdzADg0A4McpSOtr7WGyOhOnuK7IgKwOBoRJpZhZoJ+Sq1OHLmWTZbnC6l1dY6sNvedihCpt/N+PdW1udIZZh7OHT5IPd3pfO971aYPTF7omdbBw+qSjXd71dY4VVba97e6osjolwxQauCm5uvllKTPy9cVG7lzI6nrMGmKMV157dZEhQ8N+dMQVuOaoW5Q/rnM0hA6tAQAAAAAAoO9QXRe7Dz744LXXXhuo0QsLC5ctW8ZxuHc5uJ133nnbt2/v3bJ79+7Yugq8sKSkRKPRJOHQAACntbp9WxudbjFk2FBk4C7L1anO4vXsIOkxRKUmVb6e29PmqrSFTCycgvRZk6vQIEzK1sW2UdpXLa7Pm11RJW+STF+3uxudwk1DTYNxT0evKNfY+Uqb0O72RRs5MkSZWrbUxJWYVOfsS4RayfxwqOmNCqsn9KtoJCZmacekqV/6q/yNnRk2ifLyyC/xFCR5S6PrshztUJOqTzMGAAAAAACAEBDXxYjn+ccff3xAhi4oKLj++uv/93//NyUlZUAmAHH0gx/8wC8zO3jwoMfjiSHr2rNnj1/LzJkzk3PoPmpqanr//ffDn5Obmztp0iSlEqs2ASQvmehYl/frdneouiCG6OJM7flp6nP0NjwkGY2SmZKrH2ry7Wh1OULvplbvEFpdtrEZmlFmFRNxjZcs09pa+5GukDWm4TW7fG9UWOeVmrK0g+O9vVeUG5xCjV1ocAhRp3QMk6lRFhu5oaazfPe+CKWqlbcNN6+ssnV6o14+lIgYoim5usk5urVr6a03GWL0HpubrvIGJnaSLH/e7LIJ0th0PJIFAAAAAAAQf4wsD/rFcwbE66+/ftdddwU9xDBMeXl5aWmp0WiUJKmqquqbb76xWCx+p40bN27ChAmBl/M839bWtnPnzo6ODr9DQ4YM2bx5c2lpaVz+CRCD2tra4uJiv8a1a9ded911sXW4b9++cePG9b3Dw4cPjxkzxq/xo48+mjVrVhIOHRW1Ws3zsawtdvnll3/66acsOzhuXAKcawRJ/qLZVesIWaikZRVTc3W5OvwKQ9IRZTrU6Tlo8Uph30VnadnJOTqzKqKKty2Nzt1t7j5OTM8pbhueYlYl76Mqokz1DqHSxjc6feH/7wVlViuLjVyZSTUY6wgTzSPKH9bYq2zRvWXSKJnrhhiHpaj+/W/6y19I/E/eVzjRO/6Hnvz84N+jUWb1xCxN5Gk0AAAAAAAARAJ3wWL03nvvBW2fPXv2yy+/XFRU1LuR5/l77733zTff7N3IMMzixYtD9S+K4sqVKx999NHm5ubTjbW1ta+//vof/vCHvs0dkshFF12UnZ3d2trau3HZsmXRZmZvvfWWX4tGo7niiiuSc+j+sW3bts8++yyhdX4AEJtOj7i12WnjQ9YnZevYabk6LYs78pCMlAyNTdcUGbgdLa52T8h6pja378Ma23mp6rEZ2vA1YIc6PX3P6ojIKUgfVNtvG25OtpIzUaYmp1Bj52sdvhi22etJ6YaaVCakdKFplMzNpaYjXd7Pm13WCMrsFAyNSdNMzdOpSfH739OaNd87Wr9b7bUrLrvDmVcQ5NpjVq9LlKbm6pPtJw0AAAAAAGBQw4feWFgsls2bNwe233HHHWvWrPHL6ohIpVK98cYbV155Ze/Gr7/++vDhw6GGUCqVN9988/79+y+44ILe7c8888yqVav6MHdILgzDXH311X6Na9assdvtkXciSdLbb7/t1zh9+nSdTpecQ/ebJJkGAPRWaePX1ztCZXUM0ahU9VUFBmR1kOTS1MpriwyTssP9qEoyHer0flBta3L5Qp1j46VP6p3xmlWLy7er1RWv3vpIJmp1+3a0ut891b250VlpE6LK6gycYlSq+vohxjnFxrHpGmR1PXiejh2jr76iLVto3z5qb//e0fNS1feNSp1bYhphVqlDhGlZWvayXN39o9OuKTLoWYUkUa+HA7/TdozbutjQXB+8k1q7sLHe4e3bhnkAAAAAAADQGz73xmL79u0+n/9tlyFDhixZsiTMVYF73W3YsCH8QFlZWVu3bh0xYsTpFlmWb7/99iNHjkQzX0hqP/7xj/1a3G53mMrLQCtWrGhsbPRrvPXWW5N56H5wzz33TJ48eaBnAQDfEWV5V5v782ZXqFv2rIIuz9OXZ2kVqNiAwYBhmBFm9Y0lpiEGLsxpdkH6pN6xtcnpEYOk1NubnUL0BWdh7Gh1u3whS1f7gSzLrW7frjb38krbx3WOCqs3qn+gnlOMSlVfU2S4aaipPEubrknetT3709Gj9MQTNG4c6XQ0ejRdeinNmEHjxlFWFmVn0y230PLl5PEQESkYGmFWzS0xPTIm/e6R5huHmq4uNFxdaJg1xPijYSmPjEm/a6T5shyd6T/LtKpU9MILNHFikEE7a9iNzxuaaoK/Ire5fR/XO5yh93EEAAAAAACAqGDvulg8/fTTv/3tb/0aly5det9994W5yufzpaWl9S5duvbaa9etW3fG4Q4fPlxeXu5yffes9MSJE3fu3IkdI/pf3Peu61FeXr579+7eLQaDoaKiIi8v74zXOhyOkSNH+mVmpaWlFRUVSuWZ73AN4NARCty77sorr1y6dGn4q4xGY2ZmZrzmAAB95/LJnzU5290ha4xSVMrpeTqzGrfmYVCqdwg7W93OsDmZSsGMy9QMN6tPv4Gz8dKSo51xTeuIiCbn6KbmDkB9uZWXKru9lTYhhrxQpWAKDWyxUVVg4PAGt7fdu+l//oc++eTMZ2Zn0+OP08MPk1od9SgeDz32GO3ZE+SQ2ijNetyZWxZ8gU0dq7iyQJ+Gl24AAAAAAIA+Q3VdLA4dOuTXwrLsD3/4w/BXsSw7YcKE3i379u2LZLjzzz//pZde6t2ye/fuUJvnwWC0cOFCvxaHw/Hwww9HkqY/8cQTgfVtCxcujDAwG8ChY6bT6YaeCbI6gKTS4vJ9WGMLk9UNNamuH2JAVgeDV6GBu6HEOCpVHSZq4iV5R6t7Q913i8Ee7vTEPasjokMWT38+j2flpf0Wz6pq2wfVtkOd3qiyOpWCKTVxM/L188tSpuTqC5HV9SII9OijNGlSRFkdEbW20i9+QRdeSPv3Rz2WRkMvvkjf/6TyLa9dseZ/DU0Vwbc8d/mkDfWO1tAv7wAAAAAAABAhxHWxOHnypF/L2LFj09LSznjhhRde2PvLlpaWjo6OSEa86667Ro0a1bvliSee8Hq9kVwLye/666/326SQiFatWnX33XdLUrh7Xr/85S//9re/+TUWFxffdtttyT80AJwLZKJDnd6N9Q5PiC2OGKJxmdqpuToWK2DCIKdSMOVZ2llDjOHXb2x1+9bU2KrtAhGd6ObDnBkzuyC1JD4+cQjSoU7vB9X2D6pt+zs8oTakDErJUKGBm5Kru7nU1JPS4QXAT2cnXX01vfQShX07FkRFBV12GcWw1XVPYjd+fJBDPg/zwTP6poOqoBfyovxJvbPnRxoAAAAAAABihrguFjabza/lvPPOi+TCkSNH+rUcPXo0kgsVCsVvfvOb3i01NTXht8qDQYRhmFdffVWl8r8J8vrrr8+ePTvoVoXHjh2bN2/ec88959euUCiWLFnCssGfgE6qoQHgrMdL8meNzr3t7lB1PjqWuabIMCYt+oXbAJJVukY5a4hxYpY2TAItyuQQJEGS416TpFEyqWpljo7t8CQqrnP55KNd3vV1jpVVtr3tbisffI3EoJQM05PS3VpmnpGvLzWpkNMHZbHQpEm0ZUuMlzud9MMf0qJFUV+o0dBf/hI8sZN8zOrndE37gr9ci7K8vcl5uNMT9ZAAAAAAAADwH7ixHove+8/1KCoqiuTCsrIyv5YTJ05MnTo1kmvnzZv3wAMPWK3W0y3vvvvuI488Esm1kPzKy8tfeumlBx54wK993bp169evv/baay+66KKysjKfz1dVVbVv376NGzcGXa/ymWeeueqqqwbL0ABwFuv0ip81Ou1CyMKQHB07LU+vUeJmPZxtGKLRqepCA7ej1dXkDB6bpagUFo8YlyUrdaxipFlVYlLl6Vk9m6hH8byi3OAUTnXzLS5ftLNmGCZToyw2ckNNnEaJhwXPQBDohz+kEyf61Iks08MPU14ezZkT3YU9id0jj9DevQF9SrTqee3cnyoKLg3yEIZM9HW7x+mTJ2ZqsME2AAAAAABADBDXxSIwrjMajZFcWFJS4tdyIuLP4kqlcsaMGStXrjzdsmvXrpaWlpycnAh7gCR3//337969+/XXX/drl2V53bp169atO2MP8+bN+9WvfjW4hgaAs1Kljd/R6vaF2JWLITo/TX1xphY3dOEsZuQUPygw1NiFna1uj+ifW2uUTJgwO0IZGuWkHN0os1rBUIdHPGHlOzw+pyB7REmlZLRKRZpGWaBnc3WxLzXJi3K9U6ixC41OIYZt9tI1ylKTqsSk0iKYj9ijj9LWrXHoR5Lozjvp4ospsqcKv9OT2D36aJDEjohWL1LP9SkKpzmD/jwc6/K6fNLUXD2+4QAAAAAAANFCXBcfgWsJBlVYWKhUKkXxu1WDKisrIx9l5syZveM6WZY//PDD++67L/IeIMktWbLEaDT+9a9/jeHau+++++WXXx6MQwPA2USUaVeb+4Q15O6qnIK5LEc7xBjR302Awa7YyOXq2H0dnhNWb+90g1UwscRfvS6/PFc3LlPLS/KuNvdBi6fLG3JRSi2rOC9VPT5LY1aF21SvN1GmJqdQaePrHD4p+hpAs1pZbORKTSojh1q66HzxBS1eHLferFZ69NFY9rHTasMmdq9yc3l98VWuoD/DtXZhk+i4Il+vwkqnAAAAAAAA0cBH6Fikp6f7tTidzkguZFm2sLCwd8vJkycjH7e0tNSvZdu2bZFfDslPpVK99NJLK1asSElJifwqg8GwbNmyf/zjH1qtdjAODQBnDacgfVxnD5PVpamVs4uNyOrgnKJWMpOytVcVGlJ6pWWiJLOxLhho4BQ/KksZn6nd2+5efKRzW5MzTFZHRG6f9HW7+9WjXZsanF4xXPYmynK9Q/i82fnuqe7Njc4auxBVVmdWK8dmaG4sMc0pNo5N1yCri8HChRSXJVJPW72adu2K5cKexO7ii0N0+y+uZp1BH+Jb3OLyra9zRL9sKgAAAAAAwDkNn6JjkZaW5tfS3d0d4bV+29edOHHC5wu+qUmgrKwsv5bm5uYIr4W4GDJkiBzguuuui+8oN91008GDBx9//PHA77if9PT0Rx555MCBA//1X/812IcGgMGuwSl8WGvv8ISMDUpN3LVFBtzBh3NTjo6dXWwcm6FRMgwReSVZF9M+c9la9vYR5jSNcnmVbXPjGeK33iSZ9ra7/1VhtQT8kspErW7fjlb3e6dsmxudlTYhqso/PacYlaq+psjQk9KZVPgdj9HevbR9e/y7feGFGC/Uaumll0IndsuUJ1cbQn27rV5xfZ29mw8XJAMAAAAAAEBvjBzfBzjPDdOmTfMra5szZ87q1asjufaBBx5YsmRJ75YjR46MHj06kmsbGxsLCgp6t4waNero0aORXAuDkSAIa9eu3bBhQ11dXX19fUNDgyiKhYWFhYWFRUVFM2fOnDNnToQLsQ6iof2o1Wqe53u3zJ49e82aNf0wNABESCY63Ond1+EJ9aZCyTDjMjWjU9X9PDGAJGQTpK9aXEUGbqhJ9ZeDlqiuNakUtw8385L8fqWtM2xFXRhqJTOnxFRi5GRZbvOINXah2sZ7Io79TtNziiIDV2zksrQsFj2Mi0cfpZdein+3Gg21tFA0qyd8j9tNjzxC+/YFP3rTLfKFtzjb3MGfPlQrmSvy9Nk67L8AAAAAAABwZvjsFIvAwqNvvvkmwmuHDRvm17J3794I47r29na/lpaWlgjHhcGI47i5c+fOnTv3nBoaAAYXjyh/3uxqdAqhTtCzimn5+kxNpJtmAZzdTJziqkJDu9unUTLpGmVgrVsorIKZW2JSKpjlJ7vDr34ZnleUV1bZ/mtYSrpG+WWLy8ZLUV2uVjIFerbYqCowcEjp4mvDhoR06/HQ1q10ww0xXq7V0osv0kMP0aFDQY6ufI9RsfqxN7vqHUH+CnhF+ZMG52W52hKsgQwAAAAAAHAmWKwmFuXl5X4ttbW1ESZ2w4cP92vZvHlzhONWV1f7tbhcrgivBQCAc5kgyR5RFuNdUm/xiGtr7WGyulwdO2uIAVkdQG8MUZaWJaJSUxQZxlWFhmwtu6rK1pesrodPkldV2XhRviJPr4gsc2MVTLGRm5Gvv6XUNCVXX4isLt66uqiiIlGd79zZp8v1enr5ZTr//OBH//02c2C5foQ5+A+zKMvbm1zHQ+9pCgAAAAAAAD1QXReLadOmBTYuWrTo73//+xmvPe+88/xaPvnkE0mSFIozR6dVVVV+LYG76AEAABCRJFO1na+y8Q0OX6dXPL0TlZZl0jVsoZ4bblbl9m2Bsgqrd1ebRwoRATJE56epL87QMAzu6gMENyZNvbvNHcmZRQZuTJp6W5OrLlgNUwzsgrS21j6/LGV0qvpwZ8goRclQnp4rNnJDDBwbYbIHMTl5MoGdnzjR1x4MBvrb3+ihh+jw4SBH33mbSNbNvEO5r90d+CdBJtrZ6u7mpYlZWvwMAQAAAAAAhILquliMHTvWZDL5Nf7zn//cGcGTq8XFxX7XNjc3b4hs7ZsdO3b4taSnp0dyIQAAnDsESd7Z6l50pPP9Stvedk+r23c6qyMit09ucAg7Wl1vVFhfO2492uWNoeBOlOmLFteOVneorE6tZGYU6MdlapHVAYSRqWWHRlZgd1muzuoVd7fFc1mFGrtQYfWOSdNwATkcQ5SrY6fk6m4tM8/I15eaVMjqEs0S3T6GA9B5T2IX8OTht955hzb9S31pji7UT8qxLu8XzS4J26YDAAAAAACEgOq6WCiVyunTp69Zs6Z3oyRJ119//ebNmy+44IIw1zIMM2HCBL8FMJ9//vlrr702/KCHDx9evXq1X2NBQUE0Ewc4G9TW1r766qthTlAoFNnZ2VdeeaVWq+23WQEkiWq78HGdPcLNqNrdvg9r7F+3u2cNMaapI12v0saLW5tcnaGX40vXKKfn6Q0cHgkCOLPL83Q1dj58hpGtZYsM3MZ6hxjvqOPLFvcIs7rUpOpZq5BhmEyNstjIDTVxGiV+hfsVzyewc2+clqI0GOiVV+jBB+nIkSBH33mHiFTz71dsaXT4gv0VqrTxLp90Rb4+MCEGAAAAAAAAxHUxeuSRR/ziOiLq6OiYOHHir3/96wcffDBM3dv06dP94rotW7b8+9//vvXWW8OM+NRTT0mS/wffSy+9NMqJAwx6Bw4cWLBgwRlPGzt27M6dO9VqdT9MCSBJ7G5zf9bkjHZ/uian780K6w0lphIjd8aT6x3C5y0uPnRoUGriJufolbgTCxCZbC07KVv3ZUu4srnz09SCJB8JvWRlzNrcvianr9TEtXt8pSZViZHTskjpBobBkMDOjca4ddWT2P30p3T0aJCj77xDDMPe9oBxc6PTHSyya3b5Pq5zzMjX6/FIBwAAAAAAwPfhY1KMpk+ffskllwS2e73e3/72t3l5eVddddV///d/t7a2Bp5z4403Bjbec889n3/+eajhXnzxxZUrVwa2T506NZpZA5xD9u/fv2XLloGeBUD/2Vjv2NIYdVbXwyPK71d2H7B4wpwjE+23eLY0hczqlAxNztFNyUVWBxCdy3J1w83hlsQsTVFV2fgzlODF6rjVm6llrx9iHJ2qRlY3gBK6ZEZhYTx760nsRo8OfvTtt2nZEuW1RQaTKnjRdqdX/LjeEWEVOAAAAAAAwLkDn8ljt3DhwlCHeJ7/5JNP/vSnP9XU1AQeHTVq1Pjx4/0aXS7XjBkznnjiifr6+t7te/funTt37s9//vPAfrKzs4NGhgDQIyMjY6CnANBPdra6v+kIF7adkSTThjpHhTX4cmxuUd5Q59jf4ZFD5IFGTnFdkXF4SkS7cAFAbwzRrCHGPH3wRS90rCJNraxzCAkaPXE9Q1SGDqXEreEdasO5mBmN4RK7ZcvotVcU1xYZ0jXBEzuHIK2vc3R4Qi6qDAAAAAAAcA7CYpixmzVr1m233fbWW2/FcO3vfve76667zq9REIRnn3322WefLS0tzcnJEQShpqamra0tVCcPPfSQSoUbowBBqNXqxx57bMKECQM9EYD+UGnjtzU5+96PTLS+zp6tNZu/v49dq9u3rcnlCroTERERFRrYKTl6FarqAGKlUjA/KktZX+c42uW/4mVP4NHmTlSw0e4WZZkY/PoONI6jyZPp++vlR02joVGjaOhQ6lmVn+epqYmOH6dp0+Ixxe/rSewefDD4qpjLlhHDMD992LC1ydXoDBIJe0RpQ71jWp6uQH/mdZgBAAAAAADOBUyox+QhEl6vd9q0aTt37gx1ws6dO8vLy4MemjVr1rp162Ie2mQyVVZWongIznpqtZrnv1fuc80117z99tvhr9JqtRqNJpHzAkgWXlF+9ViXU4jbqmLFRm5+WcrpLyus3l1tHinEuwWG6MIMzYVpagY3+wHiYXeb+/Nml9Br3cvRqerZxcbFR7q6+UQldg+dn2bARmJJYNEievDBWC5MTaX582nePJo0ifr57Y/dHjKxI6Kf/IQe/hntaHWfsAbfeZEhmpSjQ2U2AAAAAAAAobquj9Rq9erVq6dNm1ZRURHttS+++OKmTZv8cojILVmyBFkdnJs4jktNTR3oWQAki11t7jhmdURUYxeqbPxQk0qQ5K9a3NX2kH+ntKxiaq4uV4f3EgBxMzFLO8Ks/qrFdbjT07NNZE/dKi8lcKMvrygbUOCUBObPp1/+kpzRFEunpdHChXTffWQwUAXvWuG2H7O5Gn18lyjIRCpGkcVyxZxmrMYwSWsyKoIvTdkXRiP97W/04IN07FiQo2++SUT08M+0GiVzMNj2qDLRVy0ulyCNzcBTVgAAAAAAcK7Dg7R9lZOTs3fv3jvvvDPaC4cNG7Z48WKFIpZvwb333nvrrbfGcCEAAJxNfJK8r90d9253tbqJ6JsOT5isLkPDXldkQFYHEHcpKsU1RYaHx6RfXWgYblapFAwRKSiBBawKFMcmh7Q0euCBKM6/8UY6fpx+9pi8lSx3NFXc33zyNWvLV25breCxSaJdEi2icMzr+tjR+b8ddTc1HPl9R20V36ddToMymeiVV2jUqOBH33yTXv4rXZyhuSxHF+oHbb/F80WLS8KaLwAAAAAAcG5DXBcHer3+n//858GDB++88870np0iInPXXXctX7482v3nHnvssaVLl0Y5RwAAOAud6Oa/LcCJq1qH0M2LWdqQUdwIs/raIj1WzwNIHI2SGZuhubHEdEW+nog0bAIjNS2L3+VksXAh5eSc+TSGod/8hlasoGaT867miuctDbXCGXI4QZa3OK33NFe80NnginexpslEf/0rlZUFP/rmm/Tqq1SWopqer2dDhMOnuvlPGx2h90gFAAAAAAA4++HDedyMGTPmn//8Z3t7+9GjR99+++0XXnjhV7/6VXZ2dvirbrrppvXr15eF+nT7fXl5ef/6179eeOEFbBEEAABEVNkd44rKZ+7ZJuTqguQDrIK5PE8/KVurwF8igH6Uqo7/MoY9tCyjUeLXOVmYzbRsGbFh65aVSlq2jH73O/rQYfl/rZX1QvBt4YKSiT6yWx5uOdnsi/Ofj9RUWrw4ZGL36qv06qtUZOB+UKBXhUjsmpy+jfX2RDyDAgAAAAAAMCgwsoxPRANPkqS1a9e+8MIL27ZtC/ZRTD4AACAASURBVDzKMMy4cePmzZv30EMP6XS6/p8ewABSq9V+WzzOnj17zZo1AzUfgKSy+EhXNy8moufRqerZxcZV1TYb/12xg0mluCLfYFbhWR+A/iNIMqtgvmpxfd7sSkT/Q02qm0tNiegZYvbKK/TQQyGPPvccPf44vdzZuMreEfMQKQr22aySkeo4f7Lo6qIHHqBTp4IfXbCA7r2XrLz4aYPTEWLXVROnmFloMKJ6GwAAAAAAzj2I65KLxWKpqampra2tqanxeDzZ2dlZWVkTJkzIiWRZHICzEeI6gFAESX7hgCVBf8WzteydI82bG531DqGnpdDATsnRq1CFA9BfauzCNx2eU938/DKTkmHePGFNxCgz8vUTsrSJ6Bn64qmn6OmnKfCD2k9+Qm+8Qe90t/3d2tzHIVKV7JKcYVlsdMvyn1FXF91/P1VWBj96//10zz3kFuVN9Y5Ob/DHTTRKZmaBIV2TqIpSAAAAAACA5BR2pRXod+np6enp6ePGjRvoiQAAQLJz+RL4xI3TJxGRWskQEUN0cab2/DQ1kjqA/tHi8n3S4Ghy+nq+rLDyVxboU9XKrhDxRswYhkalquPbJ8TFU0/RqFF0113k6lVUOWwYLV1KX7lt/+hzVkdEXaLvyfaal3PK1Ew8S9l6VsV84IHgid2SJURE99zDXFNk2NbkanAKged4RPnjese0PH2BHp9VAQAAAADgHIJlRgAAAAYln5TA+nhBkomIZRiNUjGzQD8GWR1Af9nb7n7zhPV0VkdER7u8Pkken6mJ+1ijzGoDVh1MVrfcQjt30uTJ37W8+CLxKt+fO+rj9ep/kne/bm2JU2ffSUujxYtp6NDgR5csoddeI07BXJGvG2oKXtvnk+TNDY4T1ii25QMAAAAAABjs8MQiAADAoMQpokvQVAomT8+maZQmTqlSMqIk85Lc6RXb3WKb2+d3ck/nOpaZXWzQsbibD9AfJJk+aXDs7/D4tbt80kGL98J0ze42Txy3q1QydFkuNkVOamPG0Bdf0Lp19OKLZLPRddfRK11t3ZL/K3ZfrLR33GDMyI33kphpabRkCd1/P1VVBTm6eDExDN11FzMlV2dSKQJ/5olIJtrR6naJ8tj0+AfVAAAAAAAASQhxHQAAwKCkYxmG6Iw1FqyCGWVWn5+mLjR8G/B5RVmQZCVDnIJhFQwRuX1ShZU/2Ok5XdDTU3AzJk3DoKoOoL9srHccsATJLYjoyxbX6DT1VYX69ytt8aqsmpStS1Nje7BkxzA0axbNmkUuF9kl8SO7Jb79+2T5PVv7o2n58e2WzpTYLVpERHTXXTQ2XaNWMrvbPIFbqstE+zs8TkGanKPD3yIAAAAAADjrIa4DAAAYlFgFk6JWWkPvZaVg6OIM7aRsrZ5TtLt9X7a46hxCu9vnEb+9JcoQpaiUOXq2xMiNTFWPzdDUOYQtjc4Wly9drSQiZHUA/WZPmztUVkdETp+0ucF53RDD1DzdtiZXqNMiV5aiuhSldYOKTkdr7FavLMW9583Orp+m5qkS8IofYWI3yqzWKRXbm51isCz6ZDfvFeXL8/RK/EkCAAAAAICzGuK6fuL1eg8fPtzS0mK1Wq1Wa1dXV1dXF8uyaWlpqf8xatSo/Pz4P9kKAABnqwI9GyquM6uUc0qMOTq20sZ/Ve1qdAZZPE0msvKilRePd3k3NTjHpKknZetuH2He1erW4rYoQD9qdvm2NDnDn3Oo05OtU07K1rW7xaNdfdrTK0OjvH6IEb/kg86X7u5EdOuQxIMex3itMRGdnzGxYxi6804aYuSuYg2bG53eYJFdnUPYUGefUWDQ4G8TAAAAAACcvRDXJVBjY+Mnn3yyZ8+ePXv2HDx4kOf5M16Sn58/adKkSy65ZNq0aePGjeuHSQIAwOBVlqI63Bnkrn2hgZtbYiSi9yttlbYz//UhIp8kf9PhOdzpnZqruyRb6wtYlAwAEmdjvSOS37ktjc50tfL6IUY9p9jT5o5trGIjN6fEpEbsMdhIRIc9Z8h0Y3bA60xQXEf/SewWLKDq6iBHX3mFiOjOOylLy15TaNjU6HQKQSoI2z3ihjrHlQX6nrWaAQAAAAAAzj5M4CYB0EeCIKxdu/a1117bsGGDKIZco+yMxo4de//99//oRz8yGhP14Rkg+anVar+oe/bs2WvWrBmo+QAkFVGW/3a4y+373p3N4WbVDcUmi8e3ssrWzceybNp5qeprigw929oBQKJV2vj3K20RnswqmGsKDeelqQ9aPJsanIIUxTt5hmh8lnZ6nh6/3INRq4+f33gs6CEtozArWYNC6ZUlpyRZRCHazqfoUp7OLO7rFMOyWOj++4MndkT00EN0xx1ERC6f9GmDszNE4biWVcws0GPPRQAAAAAAOCshrosnn8/34osvPvfcc+3t7fHq02AwLFiw4He/+51er49XnwCDCOI6gPC+anFtb/5uI6tsLfvj4SlNLt/KShsfzX18P/l69payFBVu6gMk3ooq26nuiKpgT7skW3t5nt7GS9uanMes3kjezhcZuGl5+jw9ltYYrI54nQ+1nDr9pV6hnKpLmaAxnqfWZ7Fc7zNdknRKcH/jcWx1WmuEkBsi9jZKrVuUMyzOMw4QPrF7+GG6/XYiIl6UNzc6W91B1nAmIk7BTMvT5eu5oEcBAAAAAAAGL8R1cbNr16777rvv4MGDiei8pKRk6dKlM2fOTETnAMkMcR1AeIIk//1Yl42XiEjPKW4fbhZl+Y0KqyfY9j9RGWFWzS0xxWOOABCSV5RfOmSJIVvP1bE/KDTk6lirVzzc6T3Zzbe5fYHdpKiUpSbu/DQNgrrBbq/H/nhrFRHlsKpbTVlXGVLVjKLR5z3ocdYInjaf4JJFNaMwKpSFnHq0Wj9apWMZ5ojX+U5321fuM5RvFnOa1/NG9MO/oq2NFiyg+vrgR08ndqIsf9HsqrYHLxNUMMxlOdqhJlXCpgkAAAAAADAAENfFgSzLv/jFL1588UVJimXNscjde++9ixYtYlncbYFzSGBcx3GcwWAIf5XJZHriiScWLFiQyKkBJItau/BeZbck040lpiFG7s0TVosn9qWYe7ssR3dZri4uXQFAUFGthBloqEk1LlNTYlQpGPKIcqdHtAkiL8oqJaNVKtI1Smz0ddY45HU+1lL5XylZ/5WSLZG83tG5zm6pCl08Z1Aop+vNPzRmFnHqvR7785aGZl/IIs4RKt2S3IRX1/Voa6P77qOGhiCHGIb+3/+j+fOJiGSive3uoPuzEhFDdGGGZmy6JpEzBQAAAAAA6FeI6/pKkqR77rnn9ddf75/h5s2b98477yCxg3NHYFwXIYZhDh06dN5558V9SgBJaF+750S3d35ZyqcNzq/b3fHqVsHQHSPMWVr80QFIlB2trm1NrjOfF5aOVRQZuXwdm65R6liFRsl4JdkjyhkapZ5FXHeWaBK8TT5+nNa40dG51NpsFYOvFemHIbrakLYgNZcheqq99huPI+hp5VrTs1klcZ1vOK2ttGBByMTu8cfpllu+/fJol3dPuyfUJ9ZRqeqJmRqGwbrNAAAAAABwNkBc1yeiKN5xxx3Lli2L8HyO4/Lz881mc0pKSkpKisfj6erq6urqam1ttdvtEXZy8803v/POO0oltliHc0LMcR0Rffjhh9dff3185wOQtLq8IsPQq0e7+rBjXRBDTaqbS7EkJkCibKhz7LdEtLtYDK4fYjwvTZ2gzqGfyUS8LP3ZUr/FaY322kwl94esklKV5q+djR/aLYEnzDNl/jQ1Lx7TjFTkiV2tQ9je5Ay1wPMQIzc1V69EYAcAAAAAAIMfnpfvk4ULF54xqzMYDDfccMOUKVPGjRs3ZswYtTrITRNZlk+cOLF79+4dO3a8//77HR0dYTpcvnx5QUHB888/36epA5ztioqKpk2bNtCzAOg/qWrlpw3O+GZ1RFRl49vcPhTYASSIN+6/tL077/MelpA8OkXhybaa43wstZjtovCzllNPZBQ9mlZgl8TPAgK/89X6eMwxCtnZtHQp3XcfNTb6H5Jl+r//I4ahm28mIhpi4GYWGLY0Ovlgvyy1dmGjzzEjX69GZAcAAAAAAIMcqutid+DAgfHjx/t8IReiKS8vf/DBB2+88Ua9PooPwDzPf/jhh6+88srWrVtDnaNUKvfs2XPRRRdFNWGAwSiwuq6srOymm24Kf1VeXt4tt9ySnZ2dyKkBJBdJppcPd7p98d9FdWKW9or8/r6TC3CO+LDGfrQr+O5cfXdVoeGiDGzudTbwytKjLZWxZXWnKYh5JqtkrEbv1xXHMKsKzjMoBmDpjpYWWrAgSGJHRAxDv/jFt4kdEVm94icNDpcv+EdXs0oxs8Cgx06NAAAAAAAwmCGui5EkSZMmTdq9e3fQozk5OX/6059uu+22vmylsHz58p///OeNQT+/Ek2YMGHnzp0KBT6UwlkuMK6bPXv2mjVrBmo+AEmrwSEsO9mdiJ7TNcp7R6UmomcA2Fjv+KYjUYth3lBsHJWKxTAHPZnoqfaa7a44vMIbFcpFOcNUDHNnc4VL+vbxjmk6828zh/S989i0tNB991FTU5BDfomdQ5A+bXBaeTFoPzpWcWW+Pk2D/QIAAAAAAGCwQtgTo7fffjtUVjdt2rTjx4//5Cc/6eO25zfffPOxY8euvPLKoEf37NkT+Z55AABwdpOJGpwhq737yOIRE1G0BwBElKpOYLqQ0M4hjqyib4vTurir6ddt1Y+0nHqg5eQv2qr+z1K/ydklE622d8QlqyMiuyQ+3VGbwXI/Sck53Tg/JTMunccmJ4defZXygm2cJ8v03HP0/vvffmngFNcOMWSGCORcPmljg6PFlag/hQAAAAAAAImGuC5Gb7/9dtD2uXPnbtiwISUlJS6jGI3GtWvXzp07N6o5AADAOcXlkxiiTm/wgoO4sCSyc4BzWY4uURtDsgomA5VGSW+P2/7fbVU3NRz9fUftclv7DrftoNd53Ov62m1f5+jkGMYu+f5pbYnjiCd591p75xxjepqSJaLpevMIlS6O/ccgfGL35z9/l9ipFMzVRcYiAxe0H68ob2pw1NqFhM0UAAAAAAAggRDXxcJisWzevDmw/cILL3zvvffU6nguOqRWq997772xY8cGHtqyZYvFYonjWAAAMBid7BaIyJXIAjingKWzARIiT8dyij6txxBKgZ5lE9MzxEWN4PlZy6lftlXtctslCvIam8VyU3Upq2wdTinOD0y8Y2tTEjPbmJGu5B5MDZaS9bucHFq6NFxit2LFt18qGZqerx9pDv6BS5Rpa5PzcGeiFpgFAAAAAABIHMR1sVi1apXP57/Qikqleuuttzgu+MOefcFx3BtvvKFSqfzafT7f6tWr4z4cAAAMIk5BanQKROSTEpio+bDTLUBisApmhNn/PV5cjMaudUlsq8t6f/PJQ15nmHOu1KcS0TpHZ9xHb/Xxuz32mfrUpzOL05Xx//ASm9zccIndn/5EK1d++yVDdEm29uJMbdA4Wib6ut3zdbsbf7cAAAAAAGBwQVwXiy+//DKw8e677x4zZkyCRrzgggvuvvvuCGcCAADnjkOdXkGSiSihZTQJqv4BACIal6mNe586VjEKcV2yerO79en2Wq98hpLoco3piNfVISZkacdtTmseqxqtHuBlMP2ET+yeffa7xI6ILkhTX5qjC/XX6XCn9/Nml4RnTQAAAAAAYPBAXBeLpqamwMY77rgjoYMG7b+xsTGhgwIAQDJz+eST3bxHlIjIwCXwb7qBxRsGgETJ1bFlKXEusJuUrUXKnpxW2Ttet7acMURiGWaUWveNx5Ggaez3JqrnPsrNpVdeoaysIId6ErtVq75rKUtRXZGvD/WjXmXjNzU4hUSWnvcnm+Tb4ba9a2tb2tX8vKVhaVfze7b2XW6bPd5rpQIAAAAAwEBJ1Ob2Z7fAuG7o0KETJ05M6KATJ04sLS2trKwMPxMAADh3HLS4RVl2+4iX5HS1MkGjMETpmkR1DgBEdGWBvs4u8HHKFbK0bCIq9qDvvnbbF3VG9O49j1VxDFPNJ2oPtjaf4JBEgyIZX9sLC2nJErr/fmpr8z/Uk9ipVDRr1rctBXrumiLD5kanUwhSrdjs8q2rc/ygwKBjB2t6zcvyJmfXBkfnEa8z6AsEQzRGrb/akDZTn8oyg/WfCQAAAAAAhOq62ASGZKNGjeqHcUePHu3Xguo6AIBzlluUT3bzPf/d7hYLDYnafyhLy6qVuAMIkEBmlXJ2sTEuv2YqBXNDsRGVdUnILol/tNSJFFEom6lUEVGLyCduPi2+BHbeR0VFtGRJ8Bo7SaKnn6a1a79rSVMrryk0mFTBP9haveL6Ons3P/hK0GSijx2dP2o89n+W+sMhsrqe0w56nX+21P+o8dinzq6zpJYQAAAAAOCchLguFt3d3X4thYWF/TBu4Cg8n7wfswEAIKEOd3rE/9yWa3IJ2TrWmJj1MOO+TB8ABCpLUV2ep+9jJwqG5pYYUQ6bnP5lbbGKvghP1ioUROSWzrC/XV+4JMkliUm7lGJPYpeZGeRQT2K3bt13LQZOMWuIMUsbfOUYhyCtr3O0uiL9n58MXJL0ZFv1ny31log3L2wXhT921D3VXuM507aIAAAAAACQnBDXxYJl/T8Kms3mfhg3NTXVryU3N7cfxgUAgGTjEeUK63dPbNTYBCIak66J+0AMQ2PS1HHvFgACXZKtnZqri/lylYL54VBTiQn5ejKyir51js7IzxdlmYgSmrsqGToleB5vrXqsteqZjvp/Wls2Orv2ehzNPj5JKrSKimjp0pCJ3e9+R+vXf9eiUjA/KNCHKjT3ivInDc4ae6TR18Bq9vEPtZz8ym2L4drtru6HW061JXHpJAAAAAAAhIK962JhNBotFkvvlv7ZQy5wlJycnH4YFwAAks2hTo+v1zZXTp9U7xDGZ2r2tLmFOG1/1WOUWW1O2K54AOBnco4uQ8uur7V/VzwbmUwte0OxMQN1dclqk7PLG03Nk1MSicigVFLCAiajgm328UTkksRaSawVPOS29xxiGSaL5XKVqgwll8epc1kul1WrBmJftJ7EbsECam/3PyRJ9NRTRETXXvttC6tgrsjX72x19X6c5TRRlrc1OT3Z2pHmpH4GxSr6ft5a2ZelSk/x7kdaK/+WU5auTNQq2QAAAAAAkAiI62IxbNgwv7iuvr6+H8atq6vza0F1HQDAOcgjyicC7kUesHiuH2KclK3d3uyK10CsgpmaF3utDwDEYHiKqmB06vYm18FOTyThu5ZlLsnWTcjUYr+6ZLbN5b+WfnhNPp6I8ln1QXImYj4KYnJZ1UFv8M59stwk8E0C3+t8ymRV2Uoul1XlsKpcTpXDqrRMf6zU0rMq5v33R5TYMUSTsnUGTrm33R3YlUy0s9XdzUsTs7TJ+evik+XftNf0fVvBFh//ZFvNyzll7ECErAAAAAAAEBvEdbG44IILdu7c2bvl66+/djqden1fdxwJw+Vy7d69269x3LhxiRsRAACS05FOT2AJnccny0Tl2boqm9DgjE85xox8vVmFYh2A/qZjFVcXGSbn6A5aPMet3g5PkN3FFAzl67nRqerzUtUqJe7IJzWvLFXw0T1IYRGFbsk3UqX7mKJYQjNypSoN9//Zu/PAKMrzD+DPHDuzV3Zz3xAIISAgh3JJFVAOxVqqiFWp/MCjWrVo1dbWXxEPrFpbCtajVWutVm1/FrwVrah4oIJKOSXhCAnkPnc3e839+yOIYXcCyWY3B/l+/grvzLzz5tDdned9nodhKhWpk+frRHWqXKfK7SN8DpbL5i15vJjOW7I5S55FTOMsifhbLCigv/yFrruOGhujFhYVsSOiU1NFG8d8Vhc0DXjvaZFkzfhetr0PRrif8NTs7CCG2lUlcvDv3tprkrG5EwAAAACg30C4Lhbnn3/+k08+2X6ktbV17dq1S5YsSdxN161b19raGjH4ox/9KHF3BACAPkjSjD0ekwesp6aJDBHH0MWFSc/u9Xokk+f7XXJaunVCevyb4QFAJ7kE9swc+5k5dr+iN4Q1n6yFVINlyMYzyQKXZeMRpesvDimSanStuqlBtC0cmGhLStCSJtmSDKJ9skkKWucFdO2ArB2Qw0dHbAybyQvpHJ9rEXN4IZcXsnkhLn+mBQVHqmJ2FLFjGJo377vBIrdg59kPqv2qWQnSAz45qOrn5DksfSlkV6aEX/ZFfXvd8H++hvMcqfmWPl38EwAAAAAAjkK4LhZz5sxJTk72eDztBx955JErrriC4xKShaBp2iOPPBIxOHHixMLCwkTcDgAA+qzdLVL0w0cbzw53i0e/XjA06aUDPr/ShT5JEYrdwux8Z8yXA0AcOS2s08ISoQ1Vf1UfU23DT4KeGXb3KNH+jRS3EsdHzXKk7JNDfr27GzsihAy9QglXKPR12N82whGTwvG5FiGHE9J5Sy4v5POilY2limZbjt1Pf2oesbvrLmIYOu+87wZzHfx5g5LerwqEzEJ2NUH13cOB2fkOa58Jez/vrdMpnt1nVcN43lf/67RBcZwTAAAAAAASpyf6DZx87Hb79ddfHzH49ddfP/DAAwm644MPPvjll19GDC5evDhBtwMAgL5J1owSs9S6sWli++eNmTZ+yYjkbHuMm3LOyLJfVOjqSykHAAD9WMiIZfPEp0Ffq65dnJQR9/WcZnUWWqwCwyxwpU+xJRVYrELCOpxpZDRqyo5w4N1Aywve+t83Vd5cd+D2uoOrmypf8Na/H/CUyCFfp6OGQ4bQX/5CaWkmh3SdVqygd945ZjDdyp0/2OnqoKpzY1h9s6LVJ8e+tSWOWjT140DXGhx2xgeBltZ4B2UBAAAAACBBGKOLhVmgTXNz87hx4yorK9sP8jy/fv362bNnx/de77///rx58xTlmEZE48eP//LLL3ke+ZFwkhNFUZaP2ZM+f/781157rbfWA9C7tjWGtzWFIwZtHLNwmDs6PUDRjY3Vga2N4c6/1CdZ2DmDnMVuodsrBQCAIzYGPfc0VMRw4dLk7MXuzJ/U7C2TI//PHzOG6JHsotFiZMttj6bWakqVItWqcr0qV2uKT1PjddMTcrBcOmfJ5i15FrGtDV4qy7MdBBHLy+m666ipyeQQy9LKlXTuuccMhjXjvUp/k1kPSCISWGbOIGeGtZcbtb7W2rimuSoRM9+eNmieMzURMwMAAAAAQHwhXBe7TZs2zZw5U1WP+RwrCMIzzzyzaNGieN3ln//859KlSyPCFRzHbdmy5bTTTovXXQD6LITrAI6SdWNdmU/SIl+4J2XYRqce05lG0Y2qgOIWuBSRawhrn9cGSz3R1x0jycKenmE7LcMqIKsOACCutob9t9UdiOFCO8s9lzuiTlVurtvf1e53HflBUtqtqfmdOTOgazWqXK3KjapSo8nVitykKT320dHCMBm8JYcT2trgpXN8Li9avg3gHTxIP/1phxG7++6juXOPGVR1Y2N1oDJgHoDkWWZGjn2Qszfrzd7VUP5xMP7ZdUQ0y5GyPH1wImYGAAAAAID4QriuWx588ME77rgjYpBhmBtuuOHee+9NTe3WNsaWlpa77rrr0Ucfjf4dLV++fOXKld2ZHKC/iA7XTZ8+/Y9//ONxLmEYJjs7Ozc3N8FLA+hp25rC2xojEyysHLOw0MV/G2M75Fe2NoT3eWXNMIhomEuYnmvPsvFhzdjnlSpalcaw5pW1sGbwDGPlmFSRy3HwQ5KEAqclYbXQAAAGtHpVvrRqT2zXTrO57ssc+mZr0x+bK0989omMFh2rs4bF/L/7kKHXq3KjptaocrUi1WhyjSL32IdJliiVs6RzfFsAT60W7r/J6qk3+V5MI3YG0ed1ob1mBaWJiCE6I9vei8nlP67aUx1Tj8MTGmKxPpM7IhEzAwAAAABAfCFc1y2GYVx99dXPPPNM9KGUlJTly5cvWbIkzbS7wnE1Nzc/99xzK1eubG5ujj66bNmyP/3pT7EsF6Afig7XddKiRYuef/55BvEHOFkouvHvAz5Zj3zVnphhG5MqElFjWPvPYf8hvxJ97WCnZUyqWOgSnBb0rAUA6GkG0SWV3zRpJv9/7oz/cWddmZz9SHPVy62N3VlGJm/5c3ZxKhfPWvoaGS2aWqVItZrSqCpVqlSlymG9h7rBhcN0eC8nV1uMWlGrE4w60Wjm9SYLEfE8PfggzZx5zPkG0XazjS9HnZoqnp5hS/CqTRhEsyt26JSQD+Yiw74z+NREzAwAAAAAAPGFcF0cPProo7fccktEVcw2Fotl3rx5l1xyyZQpU4qKio4TOTAM48CBA1u2bHnppZfWr1/fUXzi1ltvXbVqVdyWDtDnxRyuI6KPPvpo+vTp8V0PQG/Z0SxtbQhFDFp55keFbpahb1qktw/51ahgXoRkkUu3ck4La+UYzSBJM4a7heHoVAcAkGAPNh1+12+yD68zGKI70wtmOpKf89Y966mN7cPbCMF+X+aQdK4n6j22tcGrV+W2JLxqVfbp5n3jui8cpkOHSGs/fZjTGy16vYVtFK+6yDLvdCGbF9p/BtvvlTfVBjv6MRa5he9l23t4t1fI0M8/tDNx8/9n8Fhk0AMAAAAA9H0I18XHxx9/fMkll9TX1x/nnKSkpHHjxuXl5bndbrfb7XA4AoGA1+v1er3V1dXbt2/3+XzHv8ugQYOuvfbabmYLLV68ePBgdC+AfqM74br33ntv9uzZ8V0PQK9QdWNtWWtYi8xX+EFBUpqV+6g68HldZCSv807PsM3Oc+A5HgBA4nwdbv1FXVnMl3PELEvN/WFS+sdB70NNhwNdjH7NdaTcmpYvMr2WYB3QtUZNqVGVthKa1YrcrKt6nD6HmkTsvsUwlJdHKS4mk7fkcEI6Z8m1iDm8RQ2zn9UEO2rpmuvgz8l18j340wob+rxEhuveGzyWx8s8AAAAAECf31/s/QAAIABJREFUh3BdjHJyciJG/H6/3+/vlcV0ycaNG2fMmNHbqwDorJjDdXPnzn377bc5jov7kgB63s5m6euo1LpTUsQpmbZPa4Of1gS7Of/kTNs5eY5uTgIAAB0xiK6pKS2TOyzD2Bnzk9KWpeR5dfVpT+17gRa1E5/jhgu2a5NzJtqSunPfRFAMo1FTqr/NwGvU1GpVUmL9ZHrCiF1S1A/ARpwSIrvBOw3eYfBJOifSd28a063c7HyHleuhkJ1BNPfQjs78QmNgZdj1KIYJAAAAANAfxLN1wYBSW1vb20sAGKDOOOOMe++99/jnuN3u008/nWXRpgtOBqpufNMiRQymW7nJmbYSj9T9WB0RbakPZdi4U1Ot3Z8KAACiMUTXJOf8b/3B7kzyemvTrnDgptS829MGLXVnvxto/iTo3S+HooM8qRw/2eaa40iZYHX2zaQqC8Pk8EIO/101Zp2oWVMa2zrhqXKVKlUqktS5CJbVSoMHm0fsDIOqqig/n5zOY8ZDpGlWo0H+riesQKzD4FyGxU5crcQ1H1J+mOd2Cwnf+LVLCowRHdm8UKlEvtbHRa4FJa8BAAAAAPoHhOsAoJ/JyMhAiUsYUEo8ckg9pgwmQzQt2+6T9bcq4pbV/c6hQJ7DkioiIRUAICHOsLnOdiR/GPB0Z5IyJfzzugMTrM5LXZmL3VmL3VkBXatQpHpNDui6lWFcLJ9vEduHwfoLliids6RzlpGC7ehgQNdqVLl9El6jpphefvyIXWWlScSOYxi3wPkUra3UtEy6zOgtjHJkNUTvVDUMt9vyhLYSmkI6x+fyYnybwK33N7/ka3gmd0SxYEtQuG64YE/EtAAAAAAAEHcI1wEAAPRdmkHRqXWDkyypIvfKwVZFj1vhLM0wNlQGfjTMFa8JAQAgwu1pgw4r0n459m6jbXZKgSXfBo0cLDdKtI+ikzMk42C5IsFW1C6AF9S1hm/b4DVqSo0m1yhy22thDBE7liG3wLXKuunrqUzGN6HgYZW1sEc2x3DEpHB8rkXI4YR03pLLC/m8aI21nMMOKfDH5krNMDyaepo16YPuhXI7MtHqPPFJAAAAAADQByBcBwAA0HeVeqTgsal1RDQmRWwMa6WeOG/DL/PJNUE1x473BgAACWFl2N9mDLmhdn9TBylincEQ3ZyaN26gxmDsLFfAcgUWK33bkE81DI+uVilSraZU2aS9hrK5TNLYyPBbRxE7hsglsH5FlzSTiJ1hkE/WHRbWyjFEpJHRqCmNmrKDAkfPcbN8Dm/J5IVsXsiziDm8xc2e+JXUo6l3NZS39av7LOSbbnc/3FwZc/e+jogMO83mju+cAAAAAACQIHgkBwAA0EdpBu2OSq1LsrAZNn5DZcD0km76b2M4Z/AAfQQMANADMnnhT9lFt9eVVamxbLngGeaW1PzznalxX1j/xTNMWxXNcW3/TqYSmW74lRqwK0yWxGXJlCpzuQo51I4idkTktLAso4dU82hZQNF1g7Hz5ll0Xl31ympJu6RJB8ulc5Zs3pJnEbM5S55FTGV59tgqmk96ajya2vb1O/7m852psx0p6/3NMf0MOnSeM8WOXs4AAAAAAP0EwnUxWr58eW8vIUYFBQW9vQQAAOiUvV4poESm1hUkWYioJN6pdUfu6JHmDXLGtS8PAAAcI5cXnsgZ/sfmyq4WP8zjxd+kDz5FPDnrXsbRyJH0+O/4G27gffts6tFRm8ZmyWy2XJGuTF8oM5lyk6a0j87ZeZZljOiX3TYh1dAN3WnpVOgroGsBXatQwhRqbRvhGSaTt+RwQjpnmeVMCejaf/wtR8/fKQV2S4EfuzM3BFrimGAnMuwiV2a8ZgMAAAAAgERDuC5GK1eu7O0lAADAyUw3jN3NJjG5YS6hWdL8HTxP7KawZtSGUA8TACCxHCx3Z3rBPEfq057aEjl4wvPdLP8jV8ZCV4aA/RSdM3IkPfYY3Xgj+XzfDoU4vdyml9tUoo3/oYceoonf0+tUuVFTa1S5WpEaNbWakVii1g5eYSXNMEh3WtgYfgeqYVQrcrUip3H8Ra70f3rrNDomLPekp2ZNVtEiV+az3rquT29usTsrkxfiNRsAAAAAACQanscBAAD0RXu9cnRMjmeZZIEr9SYkta5NA8J1AAA9YqItaaItaZcU2BBo+TLUWq3KESfYWW686JjhSJ5udwsMc1AODxNsvbLU/uiUU2jNGlq2jAJR1aNlmW6/nR56iD3zTGuB5btxjYwWTd3lD37UFPAZqo9RWllVbZfuJmuGz9CTLGwsITsiIhprdTJE0YmVO8KBt/3N/5OcVSKHNod8ptd2yQSr83J3RvfnAQAAAACAHoPncQAAAH2ObtAus9S6U5IFhiGvnJDUujaeRE4OAAARxoiOMaKDiFp17ZASDui6Yuh2lsvmhSxeYIlade2zoO+DgOfCpLTeXmw/M3YsPfJIhxG7X/2KVq+myZO/G+SISecsM93u8bak9yr9AUU3DCPMGn5GbWUUP6P5GbVVV32y5hK42CJ2xYLtkCI1aEr0oYebK4dYxDvTB99Yu79CCccy+7cKLNa7MwpYQi4mAAAAAEB/gnAdAABAn7PPK5mm1o1KEYlI1uLW2CZaQicHAICOJLHcaNHR9nW5Ei6Tw58FffvlULki6WQwRCPQta7r2iJ2P/sZBaNqjkoS3XJLZMSuTbLAfn+wc0NVoDms2QzGZggZ9F1VSYnRVV0vTOP8jFatSnWq0nxsG7zjyOOFnVJU8JCIiBTDuLOh/C/ZxQ9nD7uroWJ72N/Zb/JYY0THvRlDXCw+6QMAAAAA9DN4Ew8AANC36AbtNEutG5ks2HiWiBLaugh9kQAAelfY0H/XeDhiy0aORUhiud5ZUD83diw9+miXI3Z2nj0v3/l+VaAupEYcEg1WVNjmemZmrjPPZSEiydBrVblWVWpVuUaVa1W5XlUiutO1SeMs0VVPj2rR1J/X7b8/c+jvMwtXN1eu9zd39Zudn5S2LCWPx2s5AAAAAEA/hHAdAABA33LAZ9K1jmOoLbWOiKxcAh/D2RI5OQAAnNA+ORRdlXiEgNS62B0/YnfrrbR6NU2aFHlI4Ji5gxyf1gQPtprUrlR04/2q4JnZtkKXIDJsgcVaYLEePaoTNWtKo6ZWKVKtKlepUqUiaUQ8wwR07ThLrVHlG2v3LU8vuD1t0HS7+y8tNZ0sjFlosV6fmjvRmtSZkwEAAAAAoA9CuA4AAKAPMaiD1LoU0c6zbV+niAlMsEjo5AAAcEJ75VD04HDB1vMrOZkc7WMXHbELh4/k2EVH7DiGmZ7rcDSEdzWbxMx0w/ikJuhT9PFp1ohDLFE6Z0nnLCPb/eLaAnUnLJsZ1PXf1B+cn5R+dXL233JHfB70vhNo+TLUKhkmzWWtDDvJljTPmTrV5vLp6qdB75l294nuAAAAAAAAfRHCdQAAAH3IAa/skyP33XMMjUoWj/4z257Al++ETg4AACdUKkUGlBii4ZbIgBB01bhxJ4jYrVlDEydGHmKIJmZY7TzzZUPYMCJjbQbRtsawpBmTM6zMiUpQOliOiOwMe8KlGkSvtTa+H2i5KCn9Amfa9+xu1TD2yaFyJezR1YCuOVguheWHWKxFgo1nmFpVfqql5jV/42J31gknBwAAAACAvgmP5AAAAPoKg2iH2f79YrfosHz3dM/Bs5k2vj6qm073JYscsusAAHpRyNAPKZE51tm84OLwwS0Oxo2jP/2JbrrJPGL385+bR+yIaFSK6ODZj2sCmlly3J4WKaga03PsnaknncMLnVytX9f+4a173lt3qtVxujVppGAfb3W6WM7BcgFd8+naIUV63lv3Vdj/jRRoW1cuL55gUgAAAAAA6KvwqQ8AAKCvKPPJPjmy1BXLMKNTI5++jUoRExGuO9oeDwAAesU+KRQdDxoponFd3IwfH2PEriDJMptzflgVkHWTkF1Fq/yepp+T6xBOFLIr6mJdU4NoRziwIxzozMnDBGRhAgAAAAD0VycuxAEAAAA9wDAM0651xW7BaYl8vR6XJlrYTuzh7wqOYSak4zEfAEBvMm1cV4zGdXE1fjw9/DDZzWKgbRG7r782vzDHzp8/2GnnzV9/a4Pq24daA6pJh7n2hgo2N5uQXbNZvJCH7DoAAAAAgH4L4ToAAIA+odyveqTIrnUsQ2OiUuuIyMazkzLj/PR2Qro1KSouCAAAPSk6XMcQFaFxXbxNmBBjxC5Z5M4fnOQWzAtHe2T9rQp/czjy1bw9lmimI7nLK+6Es+0JmRYAAAAAAHoGnsoBAAD0PoNoR5NJ17rhbjE6ta7NGVm2OPaZcwnsWTkotgYA0JtChn5IiXwtyOVFNK5LhAkTaM0aspltfQmF6Oc/p61bzS90WtjzBzuz7Oa/lKCqv1Pprw0er2D1/KS0OCfIE7HEXJCUGu9ZAQAAAACg5yBcBwAA0PsqWpUWs9S6U81S69pYWGZhoUs8UY+czrCwzIKh8ZkKAABitlcKRndFQyXMxDntNHr44Q4jdjff3GHETuSYufmOIUkW06OyZrxXGTjokzu6b6HFeqbdHcuKOzbXmYJKmAAAAAAA/RrCdQAAAL3MINrRbJJaV+gy6VrXXpqV++GQpO73sDt/sDO7gywBAADoMaaN60aICNcl0Gmn0R/+QKJZnOv4ETuOYWbkOkYmm0fINMP4uCa4y+zFvc2NKbk2Jm4fxp0s95PknHjNBgAAAACJoxtUFVC+agi9Vxl4o7z11fLWdw77P68L7vPKYS168x4MLHg2BwAA0MsOtSrRfW4YorFpJ25WVOgSfjTM/epBX2zv6gSWuWBIUrFbiOFaAACIL9PGdcORXZdgU6bQH/9It95KkhR5KBSiW26hRx+lU081uZAhmpplcwnsl/Wh6Ndgg+irhnBANSZnWBkmcmdNFi/ckT74robyuDyS+WXaoFRUTAUAAADo2xrD2lcNoZIWqaMHOAxDQ5OE8WnW4ckCyh8NTMiuAwAA6GU7m6MeEBINcwuu46bWHTUkyfI/I5LTrV3uY5cicouL3YjVAQD0BSFDP6xEvhzkWUQnG7c2pdCRKVNo1SoSzF4PAwFatox27erw2lEp4pk59o4y3fe0SBtrgqYPZM6yu69Kzo5pvce4Mjl7erxLawIAAABAHPkV/fXy1r/uadnWGD7OZmvDoDKf/PJB3zMlnsN+pSdXCH0EwnUAAAC96bBfbQyrEYMM0djUE6fWHZUqcleOTJmZ67DxndqAZeWYs3LsV49MzrBhMz4AQJ+wTzbJ0ELjuh4zdSr98Y/mETu/n372s+NF7Ia5hDn5TksHIbuKVmVDpV/WTZ7L/NiddZkrM8YVExHR0uTs/3FndWcGAAAAAEiow37l6RLPNy0mG7U7Uh9SX9jn3VQbTNyqoG9CuA4AAKA3bW8y6VQ01CW4hK69RnMMTc2yXT869bzBzoIkCxdVd4uIWIYGOS1z853Xj079Xrad737XOwAAiJMSyeTTOMJ1PWnq1A5z7Noidrt3d3htjp0/d5DDypm/sNYE1fWH/EE1MmLHEF2XknN72iCx633s7Cy3Ir1giTtrt9lfDgAAAAD0Bdubwv/a7w2pegzXflITfLW8VTXb9dVPpaSkMAxz0UUXdf6SiooKhmEYhvnd736XuIX1HdhTDwD9zIYNG4YNGxbHCbOyslavXj1lypQ4zgnQSZUBtTG6ax3DjE0VY5tQYJnxadbxaVZVNxrDmkfWwqpBRCLHJItcupXraO8/AAD0LjSu6wvOOINWraLbbiNZjjzk99ONN9Jjj9Ho0ebXplv5CwqS/lPp98kmj2NaJO3tQ61z8h1uIbK66Txn6nir87GW6k1Bb2cWyRDNdCRfn5KbwvIv+Ro+DHgeyByajN51AAAAAH3MNy3S+kP+7sxQ0iIpmnFxoQvPcnrF7t27165dS0RLly4tKCjogTviPT0A9DPBYLCsrCyOE5aVlS1YsODQoUMch94w0NN2NIWjB4c4+WSxu3+NPMtk2/lsO17oAQD6gaCuVUY1rstH47recMYZ9Ic/0C9+EUvEzmlhLyhI2lAZqA9FlrkmIr+iv33If06eIyuqEnUOL9yXMWSfHHq1tfHjoNevR27laZPEcmc7kn+YlF5osR5Uwk+01LT1O/w81DrPmdLFbxQAAAAAEqgmqL7dvVhdmwM++cPqwKw8R/engq7atWvX3XffTUQzZ85EuA4AoIdUV1d7vd7U1NTeXggMLFUBJfpxHkM0Nq0LXesAAOAksBeN6/qSadOOF7H72c/oscdo1CjzawWWmZvv+KgmeNivRB+VNOM/hwNn5diHJFmijw4XbL9MG3RbWn6ZHN4jBWtUuVXXiMjNcdm8MFywDRdsLDHlSviJlpr/hv1H/2Y+DnrOc6ZgyzUAAABAHyHrxisHffGqY/llfajIJRSYvYHsX9auXauqamZmt5o3n9wQrgMAoLlz5yJWBz1vR7NJn+HBSZaUbqfWAQBA/7JPNkm2RriuFx0nYtfaeiTHrqOIHc8y5+Q5Pq8N7vVGXUxk45mgqqu60dZBtl5V6jRZMnSGKInl83jBwXJFgq2og9++QfRES02zpnLEjBRto0T7EIs1kxcQqwMAAADoOz6vDZoWSI/Ze5X+q0emMP38Pd+sWbN6ewl9HcJ1ANDPFBUVXXzxxXGcMC8v7+qrr47jhACdUR1Q6oImqXXjUpFaBwAw4JRIwYgRlmHQuK53dSdixxBNy7YnCdzXDd+1JBQ55vQMW5FLUEj/KOj5KOjdFva3RtW9zLeIE61Jsx3Jo0WTkkcM0dmOZM0wzrS7k1hO1o3qgLrPq/gVySCDIXJa2DQrn2vnBa6fP84BAAAA6J/CmvF1g8luvO5oDGslHumUFDG+03aVpmktLS0pKSnoKJQgCNcBQD8zatSoBx98sLdXAdBdHaXWpVrxjgcAYGAJGnq1FhkRyuUEBxrX9bZp0+j3v6df/jKWiB0RnZoq2jhmU23QIMqy8WfnOTiW/q+1/iVfg0czaW7XplKRKhXp1dbGU0T7VcnZE61JESfMcaQYBpV4pN3N/gq/oprt22YZGuS0nJpqHZUisgjbAQAAAPSgb5olOU5lMNv7b2O458N1EyZM2LZt209/+tOHH354xYoVTzzxhMfjYRgmMzNz6tSpd9xxx5QpU4goGAyuWrVq7dq1Bw8e5Hm+uLh44cKFN998s8VyTAHPnJyc2traCy+88JVXXom40d69ex999NF33323srLSarUWFxdfeuml119//fGX5/F41qxZs27durKyMrvdPm7cuOuuu+6SSy559tlnly5dSkThcFgUj/zQbDZbOBxeunTpM888Ez3VHXfc0fbA2ePxuN3uW265Zc2aNUePzpw5k4iSk5NbWlq69hPsIoTrAAAAelptUK2NSq0jolNTe3mfFAAA9LxSKagbkZ/nR4r2XlkMRPje944XsWvrY3fKKR1eXuQW7Dxb4ZcnZ9or1PDddeWHFZP9Oqb2SMFf1pXNcaTclpYvMuzR8YCi6wadkiyOShGJSDOMZklvCKmHWpV9Pjmg6ESkG1TRqlS0Kh/XBGbmOkb19kZsAAAAgIFjj6ez7/e65JBfCSi6w8Ke+NR4U1X1oosuevvtt9v+aRhGXV3da6+9tn79+nXr1o0dO3bOnDl79+49ev7mzZs3b978+uuvb9y4kWVPvODHH3/8lltukb99wx0MBr/44osvvvji6aeffvLJJzu6auvWrfPnz6+qqjp61fvvv//+++8vWLBg7ty5sX+3vQrhOgAAgJ62vcmkKsIgpyXditdlAIABZ58cih5E47q+43vfo/vuo//9X1Kjdtr4fEdy7I4Tsct18LkO/rOQ77eNFUG9yy1M3gu0lCvh32YOzeAsRGQY5Ff0+pDqlXVFN1iGBJZJFblcOz8qRZxrUJlP/qI+VOlXjqxQ1l8vb93rkb9f4LQgzw4AAAAgwVTdqA4oCZr8kF/plXqYL774YjAYdDqd11133aRJk+rr6x977LHS0lJZlq+88srk5OT9+/efeeaZl1xySUZGxocffvjXv/7VMIxPPvnk73//+1VXXXX8yf/1r3/deOONbV8XFRVNnz49Ly/viy+++Pjjj3ft2nX55ZebXlVbW3vuuec2NjYS0aRJk84++2yr1frZZ5+9//77L7/88saNG7v5La9YseLnP//5G2+8sWzZsrZFTp06tTOhx27CY0EAAIAe1RDWasxS68aloWsdAMBAVBoVrmMZpkjAi0Ifcs45dP/9HUbsbrqJ/vxnKirq8PL/BFoebDwUc0WkfXLo+pp9D2cPS2eE5/d6GsKR7e7aJIvc6BRxfLr1iuHuvV55Q6XfJx+JDpZ4pGZJu7jQ5RZ6YTs2AAAAwMDRJGla/AthHlEf0k5JSdTkxxEMBvPy8j744IPi4uK2kauvvnr06NHl5eWNjY2NjY033XTT6tWr26JZl19++ZgxY26++WYi2rhx4/HDdZIk/frXv277+uabb161atXRrnibN2++4IILKioqTC984IEH2mJ1d95557333nt0/IUXXrjqqquam5u7+S2npKSkpKRkZGS0/TM7O7ugoKCbc3YG3qzH4rzzzpsTpbq6urfXBQAA/cB/G0yyKPIdfDq61gEADDxBQ69WI8ss5vFoXNfntEXseLP9ri0tdP31tH+/+YW7pMAfmg5386FNk6bcXlcmM/q5g51MBzlyHknbVBv8y+6W96sCBU7LlSOSBzu/axZSH1Jf3OcNmna6AwAAAIA48UoJfLvllc23bfWARx555Gisjojsdvs111zT9nVxcfHvf//79plnN9xwQ1vHuPYVMk09/vjjbQG5H//4x2vWrDkaqyOiKVOmvPzyy6ZXVVdXtxXJPPfcc9vH6trmaYsU9lMI18Vi48aNG6J0P2YLAAAnvYaQWm2WWjcWqXUAAANSiVnjOlTC7JtiiNg1acqdDeVK1K84BtWq/Iemw/kOy2npx/vz0Azjy/rQ0yUtPkW/rMg9Pv27NxheWXvtYKuesO3eAAAAACAl8s2WlLjEveOy2Wzz58+PGCz6trjEpZdeKghC+0M8zw8dOpSIJOkEbfzWrVtHRBzHrVixIvroWWedNXXq1OjxF198MRwOE5FpZO7GG29sH/brXxCui4WimNSfDQaDPb8SAADoX7aZda3LdfCZNpSnBgAYiEwb140U7T2/EuiMc86h3/6WTD/+t0XsDhw4ZvDxlmqPZrJNJzYfB72fhXxn5dhF7gRd6Hyy/vxe7z6vdN4g5/h2W4Iq/MrHNYF4rQcAAAAAIiQ03NJRlYVEKyoqig6AWa1H3mSOGjUq+pKjR4+vLf1u3Lhx7VP32lu0aFFHVxHRzJkzo48WFBQUFhZ25u59EMJ1sbDZTPYz+ny+nl8JAAD0I01hrTpg1rUuFal1AAADVKlk0rhumAWvC33XrFl0//2ditiVyeEPA5743v3plhqRY8Z3Iilf0Y1XD7bu88pzBznbV8XcUh9q6qD7HQAAAAB00wm3VXWHNZGTH8fxk9VMYyWd4fV6GxoaiGjYsGEdndOWpRdh//79RJSent7RrfPz82NbUq9DuC4W2dnZ0YPbt2/v+ZUAAEA/sq0pHF22INdhybIjtQ4AYCAK6FqNFtm4Lh+N6/q8WbM6zLFrbqbrr6fKSiKita0NcS9XVKaEvw61jkvvVEDXIHqjvLVZ0n44NMnOH/nsrxv0WS0KwwAAAAAkRIqYwHfyqYmcvOfV1dW1fZGbm9vROQUFBdGDBw8eJKKMjIyOrsrKyur26noHwnWxOOOMM6IHN2/e3PMrAQCA/qJZ0ir9JrWUx6WJPb8YAADoC/bKITSu66dmzz5exO6TT0g2jI+CcU6ta/OfQEuqyGV0roy2rBvrynwiy8zM/a7C6h6PFFT1RKwNAAAAYIBLFbnEJdhln1y7vQcNGsQwDBHV1NR0dE5bj7oIFouFiNoy80w1NTV1dTGa1ifqTyBcF4uLL744evDTTz/tI79UAADog7Y1mqTWZdr4LHStAwAYqEokkyQnhOv6i9mz6b77zCN2o0fTbikQ1BMSEvsy3GoQFbSrb3l8LZK2uT50apo1zXpkrbpBez2RaZ0AAAAA0H0M04X3aV3Cs0x+YmbuLTabLScnh4gORPR/budom7r22pLnGhsbTYN5RHTo0KGuLqa8vLyrlyQCwnWxmD9//ogRIyIGa2pq1q5d2yvrAQCAPs4jaYfNutZN6FwxKwAAOCntlSMb1zFEwxGu6z/mzDGJ2DEMDR9Oe8xisXHh0dRaVc6yd6EU0pf1IVkzJmd+96dV3mqS8Q8AAAAA3TcqNSFVlIrcgsD2Tu+6xGnrWrd9+/a2dnTRNmzYED04ZcqUti8++uij6KPV1dVlZWUd3VFRzN8G79ix44Sr7QEI18WCZdmnnnqqLVWzvYceeqhX1gMAAH3cfxvDRlS5s0wbn3Ny1TEAAIDOa9W1GjUyw2mwxWpH47p+Zc4cWrnymIhdejrZbFSpSom7aaUipQhd+DsJa8Y3LdLIZJH/9hFPXchkFxEAAAAAdF+xW3QJ8Q+7TMw4CTd8L1q0iIhUVb3nnnuij+7bt+8f//hH9PiCBQvavnj44Yejjz7yyCOmMbm2Epp79uyJPvTKK6+UlpZ2ZeGJgnBdjM4666zf/va3EYNbt2697777emU9AADQZ3kk7ZBZat34tJPwnRYAAHTSPjkUXSR5hIjUuv5n7lxauZLYbz9bJyUREfn0BDZK8Omqle/aZ/k9LZLIMYO/LaDkldHHAQAAACAhWIa+l20/8XldUegS8h0nVSXMNldfffXQoUOJ6Pnnn7/11lvb9xr75ptvzj//fNPuY9OmTTv77LOJaP369StXrmx/6F//+tfq1atN7zV69Ggi2rp16+uvv95+fNu2bTfddNPx1ylJCdyK1x429cfujjvuqKuriwjhrlixYuSkAqooAAAgAElEQVTIkQsXLuytVQEAQF+zvUmKTq3LsPG5DrwKAwAMXNGVMIlouAXhun5p7lwiouXLSdeJ54mI1KiX/jhSDIPrYiWkqoCi6MZgp6XMJxORbpCsGUJXZwEAAACAThibZt3VLB32x6f8uIVl5uQ74jJVX2OxWO6///7LL7+ciFavXv3GG2/MmDEjPz//66+//uCDD4LB4Lhx41paWqJ70f39738/7bTTmpqaVqxY8fbbb8+cOVMUxc8++2zDhg2pqalnnHHGxo0bGYYRxe8Kk86fP/+LL74gogULFlx99dXTp0+XJGnz5s3PPvusJElWqzW6E97Ry//0pz+Fw2FFUS6++OIE/jgQruumNWvWZGRkLF++/OiIYRiXXnrpHXfccffdd/M8frwAAAOdR9bKzd6fIbUOAGCAK4nqbcYQFQl4deiv5s4lSaKVKykUIiKyMQmsZGNnOUnrWjhQM6gprKVZUWoVAAAAIOEYoguHJj1b6vHJevdnmzvIkSKetO/iLrvsssbGxttuu02W5f3797dvYjdmzJg333xzzpw50VcNHjx4w4YN8+bNq62t/eKLL9ricESUnJz88ssvt2VY2WzHbIW8/fbbP/jggw0bNmia9uSTTz755JNHD6Wnp99zzz033nhjxF0mTpwoiqIkSW+99dZbb72VnJyc6HAdimF2129+85tXXnklOTn56Iiu67/97W+nTJnyr3/9S5Yj21EAAMCAssMstS7NyiG1DgBgIGvVtdqoxnUFaFzXz/3gB7R8OTU3k2FQBp/AakWZvMWvdPnRj0fS3N+2UWEZQmodAAAAQOI4ePbiQpeF7e47rmnZ9lNTT/ItfT/72c927ty5bNmy4uJiu93ucrkmTJjwu9/9bsuWLfn5+R1dNX78+G+++ebXv/718OHDRVHMzc298sorv/rqq+nTp9fV1RFRWlpa+/M5jnv33Xefe+65s88+Oy8vj2GO/GomT578ySefDBs2LPoW+fn569atO/300+12e0pKysiRI+P6fZtgop8hQgzKy8uXLl360UcfRYxnZGRccsklU6ZMmTRp0ogRI1gW8VGArhFFMSLsPX/+/Ndee6231gPQJT5Zf+WgL/qFdlaeY5DzJKw5DgAAnfR12P9kS03E4LnOlAVJ6b2yHoij11+nyZNpm7P5d02HEzE/S8wbg8bsbJQ+rAp06cLzBjmHuoQ/724molSRu3ZUSiKWBwAAAABH1QbVdWW+1q5vtCIilqGzcx2TMlEtv8uGDh1aXl4+a9asDRs2dHROIBDYt29famrq4MGDe3Jtx4et/TEqLS2NGPnzn//8xBNPPPLII7r+3X9+DQ0Njz/++OOPP05EoiimpqYmJycnJyfb7faj8duYvffee92cAQAAEmp7Uyg6VpcqcvmI1QEADGzmjesEfBQ/GcyfT1VVNM7qTND8I0SbnWUrY2iFwhDRkTcmWXY8CgAAAABIuGw7v3RE8isHWysDXXvzZuPZHw5JGpKEx0cmNm/efMUVVxDRPffcs2jRooijn3/+eXl5ORGdccYZx5nE4XCMHz8+YWuMEd6jxyiGzEdJkmpqampqInfRAgDASalV0ct8Zl3r0q0oPgUAMMDtlU0a1w2znORVbgaOvDwiEoYLtn1mcdlumm53q7pxqOvhOivLHO14h0c/AAAAAD3DYWF/XOze1hjeVBvsTD1zjmHGpYln5ThsPJ4emRs/fnx1dXUwGHz44YcXLlwoCMLRQ4FA4K677iIilmV//OMf994aY4RwHQAAQELsaAqbpNZZOZTBBAAY4HyaWqOgcd3J7/vOtDXNlfGd08Iwcxwp+33y0cBb5yWLnFfWiYhjqNgtxndhAAAAANARhmhCunVsmljSIu9ukQ77FUU3eS+XaeNHJgunplmTLOiodTyiKN5+++133333li1bzjrrrBtuuKGoqCgQCJSWlj7++OMlJSVEdOONN/ZAq7m4Q7gOAAAg/vyKfsAstW5cGlLrAAAGur2ySankYlTCPOnMc6b+w1vXpHW9amXHvu9MS+Msb9d7u3ohzzLpVu5gq0xEo1JEbNYGAAAA6GEcw4xOFUenipphNIS0FkmTNEMzDIFj3AKXaeOtHN6hddaKFSuqqqqeeuqpLVu2bNmyJeLokiVLVq1a1SsL6yaE6wAAAOJvR1NYNyIfxiaL3GAHXnkBAAY608Z1I0SE6042AsNcn5J7X2NFvCZ0sdzS5Kwyn1zVxd4nRJTn4HmWqWhVOIamZdvjtSQAAAAA6CqOYbLtfDZ6CXcDwzBPPvnkddddt3r16t27d+/fv59hmNzc3OnTpy9dunTatGm9vcAY4W8CAAAgzgKKvt80tS5VZBhslQIAGOiiw3UsURGy605GsxzJX4db1/ubuz8VQ/SLtEEO4v6vsjWGy0eliGHNqAyoU7LsKSLKrgIAAABAv3f66ac///zzvb2KeEIVVAAAgDjb0WyWWidwQ5LQtQ4AYKDzaWqtatK4zsrgo9nJ6ZbU/DGio/vzXOHOOsvufr8q0CxpXb3WxjOnpIh7WqR8B38mUusAAAAAAPokZNfFaMOGDb29BAAA6IuCqrHfa5JaNzYNqXUAAEClaFw3wFgYZmXGkF/Wl+03K4LaSZe4Mq5Mzt7WGP5vYziGy6dk2nmGKWmRLhyaxOLNCAAAAABAn4RwXYxmzZrV20sAAIC+aGdzWItKrXMJ7FCX0CvrAQCAPsW0cV0xGted1JI5fk3WsAebDn8a9Hb1WgvDXJ+Se1FS+q5m6d1Kfwx3T7dykzJtpR7p+wVJNh5JnAAAAAAAfRTCdQAAAHETUvW9Hil6fFyaFXvZAQCAOmhcN1xAfcKTnIPl7s0Y8o6/+UlPjUdTO3nVGNFxS2r+UMH6WW3w45pgDPe1csyCQpesGYUuQeTwZgQAAAAAoO9CuA4AACBudjZLWlSNsyQLW4jUOgAAIPLqal1U47ohglVEteQBgCGa50ydYU9+3d/4VmtzpWqyv+fomadZkxa60qfYXF5J+7/93vJWkzrbnbnjD4YkpQgcw5BBpBi6BS0SAQAAAAD6KoTrAAAA4iOkGXu9kQ9hiWgsUusAAICIiPZKaFw30NlZ9jJX5mWuzP1y6L9h/0ElXKvKAV1jGcbN8nm8MEK0n251pnEWItrvlV8tb1X16L+aE+MY5oIC5zCXoOjGx9XBSr9y0VCXBduHAAAAAAD6KoTrAKCfURSlpaXl+OfYbDar1doz6wE4aldTOPqBmtPCDnNZemU9AADQ15SaNq5DuG6AKS+nv/+dpkyxnXemLSkt8uihQ/TGB/Taa/SjH9Hllwtz8h0bKgNKFyN2ySJ34ZCkbDt/wCe/WeEPqToRPVvqWVDoynPgIQAAAAAAQF/EGEYsO/UAAHqGKIqybJKudMKrbr311vvvvz8RSwIwFdaMdWW+6Kdp07JsxclirywJAAD6mhUN5XXqMVUNWaI12UUohjlwtLbStGm0a9eRfw4eTHl55HAQETU2Unk5eTxHDjEM/e//0j33kF/TPqgKlpo1x41mYZlJmbYzsmy6Qa+Xtx7wHfNGWuSYxcXJ6VYuft8QAAAAAADEB8J1ANCnxRaua7Nly5ZJkybFdz0AHfmqIbSrOfI5moNnLy5MYvEQFgAAiLy6envdwYjBYYLt9rT8XlkP9DxdpwsuoPXru3DJlCn07rvkdlNDWNvWGC7xSAFFNz0zw8aPShHHp4k2nt3dIn1QFTA9M1Xk/mdEspXDmxMAAAAAgL4FdTAA4KTV0NDQ20uAgULSjBKzPe9j06yI1QEAQJtSCZUwB7onnuharI6I8vPJ7ab/NoYzbfycfMecfEdjWGsIqV5ZD2s6yzA2jkkRuWw777SwmmHs88if14XqQmpHEzZL2ruH/T8cktTdbwYAAAAAAOIK4bqEUxSltLS0pKSkrq6uoaGhoaHB6/UqiiLLsqIoU6dOXb58eW+vEeAkNG7cuFmzZvX2KmCg2N0iqVH71+08U+RG1zoAADhiHxrXDWx+P915Z9cuYRi6+26qDar/Oew3iFJEbphLGOTkM2x8oYsVOYaIQqrulfUyn1zhVw545bB24vI5e1qkCenWwU68SwEAAAAA6EMQrksIVVU//fTTN95447333ispKVEUpaMzbbbIz+f19fXLli2bPXv2nDlzhgwZktiFAvRD48aNu+GGG45zAsuyWVlZs2fPFkU0DIOeIOvGNy3h6PGxaTYOqXUAAPCt0qhwHUs0DOG6AeNvf6Ompq5dMmcOjRlDrxwMtYXgWiTtq4bQV/GoH/FZbXBwkTsOEwEAAAAAQJwgXBdnfr//iSeeWLVqVU1NTWwzKIry0ksvvfTSS0Q0fvz422677dJLL7VYsPMR4IiCgoJrr722t1cB8J3dzSapdTaOGe4WemM5AADQF3l1tU6NbMc7xGIVsbFjwHjmmS5fsngxBVR9n9ek4HY3lbcqLZKWInJxnxkAAAAAAGLD9vYCTipPP/10QUHBL37xi5hjdRG2bdu2ePHiwsLCp59+Oi4TAgBAfMm6scesa92paVYOD2ABAOBbJWaN60aK9p5fCfSKw4dp27auXcIwdN55tM8j6ycubxmLUk9k/BgAAAAAAHoRwnXxUV9f/4Mf/OCaa65pbm6O++SVlZXXXHPND37wg7q6urhPDgAA3fFNiyRHNYmxckwxUusAAKAdNK4b4D79tMuXnHIKpadThb/DxgrdlLiZAQAAAAAgBgjXxUF5efm0adPefPPNhN7lzTffHDt27I4dOxJ6FwAA6DxFN/a0mKXWpVp5Frl1AADwnVI5GDHCEVMoWHtlMdDz9uzp8iWnnEJE1BBS476YNombGQAAAAAAYoBwXXft27fvzDPPPHDgQA/cq76+fvbs2bt37+6BewEAwAntaZEk09S6ZKTWAQDAdzyaWq9GZjINEUSRwcexgaK2tsuX5OcTEXnlqAa5ceJX9Kh3MQAAAAAA0Gvw+bBbAoHAhRdeWFVVdcIzbTbboEGDJkyY0M07NjQ0zJo1qzN3BACAhFJ045sWk6YvY1KtFqTWAQBAOyVRqXVENEJA47oBJGjyJ3ACTicZREqCOtcREZGsJSoWCAAAAAAAXYVwXbf85Cc/+eabbzo6yvP8ggULnnjiidLS0mAweOjQoa1bt55wzszMzEcffXTMmDEdnVBXV3fdddfFuGIAAIiTPS1SOOohl8gxI5PFXlkPAAD0WXvNGteNEBGuG0BsXW9TqKrEEDGJ3ALEMAzy6wAAAAAA+giE62L3zjvv/POf/zQ9xPP8zTffvH///nXr1l177bXFxcWdn9Zisdx44407d+7897//XVhYaHrOW2+99dxzz8WyaAAAiAdVN/Z4TFLrRqeIPF5aAQDgWHulyHAdzzBDLdjeMYBkZnb5Eq+XiMjKJSpexzIksswBr6wZiNkBAAAAAPQ+PFOMka7rt99+u+mhoqKiTZs2rVmzpqCgoDu3WLhw4c6dOxctWmR69I477lCUyAYYAADQM0o8UkiNTK0TkFoHAABRPLraoEU1rrNY0bhuQBk5ssuXlJUREaWIXNwX0yZZ4BiGKgPKR9XBRFbcBAAAAACATsFHxBitW7du586d0eOnnXba119/PXny5LjcxW63v/DCC7/85S+jD1VXV7/88stxuQsAAHSJZtBus651o1NEIWFb4AEAoJ8qjUqtI6IRQtdrI0J/Nm1aly/ZsYMMg3LsfAKWQ0SU4+CJqFZSDvmVj2qCCNgBAAAAAPQuhOti9Oyzz0YPFhUVrV+/3uVyxfdeDz300GWXXRY9/sgjj8T3RgAA0BnmqXUscwpS6wAAIEqJFIweHI5w3QAzbBidckrXLqmtpZISGpokJGZFNDRJaNHUXZqfiCpa5Y+qA4jYAQAAAAD0IoTrYlFfX//uu+9Gj//tb3/LjKEpQSc8+uij6enpEYObNm2qq6tLxO0AAKAjmkG7m6Xo8VGpSK0DAAATe2WTxnXDEK4beJYu7fIl69bRUJdgS0BfXAvLFLuFzYHWCjZoGAYRlbcqm2qPfA0AAAAAAD0P4bpYfPjhh6qqRgxedtllZ511VoLumJaWdtttt0WPb9q0KUF3BAAAU3s9UjAqtc7CMqNSkFoHAACRWjS1MapxXaHFKjDY4THgXHstdbUOy7PPEmPQaenWuC9mXJpV4JgP/N4QozdyR/5E93vlTXUhxOsAAAAAAHoFwnWx2LJlS/TgTTfdlNCbXn311Twf2bfg008/TehNAQCgPc0wdjaHo8dPSREFFg9eAQAgUmlUah0RFYtIrRuIkpPpzju7dsn+/bR2LU3KtMU3wU5gmalZtm2hQJkUJqIK9rt6rfu98pY6kz9aAAAAAABINITrYvHVV19FjOTm5k6dOjWhN83IyJgwYULE4H//+9+E3hQAANrb65GDauSmc55lRqUkqq8MAAD0a3tls8Z1FoTrBqibb6Yzz+zaJcuXEynM7DxHHJcxI9dutzD/8jS0/bOODYdJO3p0j0f6sgEROwAAAACAnoZwXSyqq6sjRmbMmMEkvqDN5MmTI0YaGxsTfVMAAGijG7S7xaRr3SnJopXD6ykAAJgokSLDdRY0rhvALBZat44KCrpwyb59dNddNDpVnJgRnz+bMani6Rm2d/0tzaRYWIaIDKJK7pj43O5mROwAAAAAAHoaHi/GoqWlJWIkLy+vB+6bk5MTMdLU1NQD9wUAACLa75P9SmTXOqTWAQBAR1o0tUmL7Hg9xGK1oHHdAJaZSa+/ThkZXbjk97+nF1+kc/IcQ13dfcuR6+DPG+TcKQVea21iiJIElmcZIqpgg4ZxTP2A3c3StiaTAuAAAAAAAJAgCNfFwufzRYxkZ2f3wH1dUa3Jm5ube+C+AACgG7TD7KHVyGQxvu1kAADgpFFiVglzpGjv+ZVAnzJ2LG3ZQmPHdvZ8w6BrrqGvvqSFhUmnpoox37c4WbisyM2zzFpfY1tojiFyCSzPUojRGzkl4vxtjWHTNz8AAAAAAJAIeMIYC7fbHTESDJp8FI+7+vr6iBGbDYV0AAB6gmlqHcfQaKTWAQBAB/bKJuUEh6MSJhANGUKbNtGVV1InMy1DIZozh/7zDvP9gqRz8hxcF/MzWYbOzLYvGOriiSGi063Oo4cYIpfA8SxVsCYfabc2hnc2m1QCBwAAAACAuEO4LhbRRSlra2t74L6HDx+OGOmZrD4AgAHOINpl9qxqBFLrAACgY9HhOgvDFFqsvbIY6GucTvrb3+izz+j8808ctBNFWriQRo4kIpqcabtqZMpwd2c3DBW6hKUjks/Msa9dS0uW0OHDdJbd3f6GDJHLwjVx4TBp0ZdvbQjtMevdCwAAAAAA8cX39gL6pZycnJ07d7YfKS0t7YH7VlRURIxkZWX1wH0BAAa4A17ZJ0c+wOIYGp0Se0EqAAA4uTVraqMaWV1wKBrXwbGmTqW33qKKCvr3v+mDD2j7dqquPnKI46iggE4/nWbPpoULKTWVNm2ixYtJEOhPf+IuHuNqDGu7msP7vHJT2CTMliJyRW5hTKqYZeMPHaKbV9GmTUREV1xBK1bwoyc4dkmBoyczDDkFromkPCmyWKtBtKU+xDA0MhlvewAAAAAAEgjhulhEZ9d9/PHHXq83ukhmHDU1NX322WcRg8iuAwBINIPMu9YVJ4sOC1LrAADA3B7JpLTgCDSuAzMFBXTrrfSLXxARSRK1thLHUVIS8TwRUWMjvfoqPfMMffrpkfPHjaMFC+iGG7gZMxwzcx0hVW8MawFVlzRD5Bg7z6ZZOQfPGgbt2EGPraN33yXt24heIEC//jXN+ZnbmBNoHztmGfLZwqMMp1eOrP5tEG2uC7FExYjYAQAAAAAkDMJ1sZg4ceKzzz7bfkRRlFdffXXJkiWJu+mLL74oy3LE4IgRIxJ3RwAAIKIyn+Iz6VrHnJqKamYAANChfWaN60agcR10gGWpqYmefJJUlZxO0jRqbaUDB2jXLtq5k/Rj34noOq1dS2vXUm4uXXgh/frX7KBBkVuIqqtp+XLascPkXoZB/3nMkT2Izxqu8u0eCXh0bXAmW15HrVHvfAyiz+tCPMsUutC1FwAAAAAgIZAWEIuLLrqIiSpic88990hSomr667r+17/+NXr8ggsuSNAdAQCAOk6tG+4W7DyqmQEAQIeiG9fxxAwVsNUDOpSWRr/6FaWn0x/+QL/8Jd17L73wAm3fHhmrO0oU6aKLaOVKGjTI5GhuLq1eTdOmdXAznZo2uA4epEDgmOEv5dbzBjudZvUDDKJPaoIHWyNLvAIAAAAAQFwgXBeLvLy8KVOmRAwePHhw1apVCbrjAw88sCNqY2ROTs7EiRMTdEcAACCi8lbFG9W1jmVoTCqKQQEAQIeaNLVJi4xqDBOsPGGrBxwPy9L111NZGT33HM2bR3az4qkMQ+PH0333UVkZPfoopaZ2OJvbTQ8/TMuWEWv2uV/d7FYVOnyYGhu/G9we9iuMPm/QcSJ2gUN+ROwAAAAAAOIPxTBjtGDBgi+++CJi8M477xw1atSFF14Y33tt3rz57rvvjh6/4IILopP8AAAgXgzD2G6WWlfkEkyfYQEAALQplU0a1w1HJUzoHFGkxYtp8WKSJNq9m/btI4+HZJlcLhoyhE499XghuggMQ0uW0OjR9JvfUFPTMYcML6+VOriRgYYGCoUoN5c4jnSiz0O+ec7UufnOdw77g2pkZp9u0Mbq4Nm59kFOSzy+VwAAAAAAOAJPG2N0zTXXZGRkRAzqur5o0aI33ngjjjfasmXLhRdeqKpqxDjDMD/5yU/ieCMAAIhQ7lc8kklq3dg0lDIDAIDjKZVMwnUjRLNUKYCOiSKddhpdeilddx0tW0ZLltCMGV2I1R01cSL94x80dmzkuLrZ1faF308HD1IoRET0SdCrG4ZLYM8b7LTxJk8MdMP4sDpYGYj8iAoAAAAAAN2BcF2MUlJSHnjggejxUCj0wx/+8Fe/+pWixKFCyAsvvDBjxoza2troQ1dcccWkSZO6fwsAADBlEO1sMulIOgypdQAAcCL75MjkbJ6YQjSug96TmUlPPUVLllD7+izaHif5jlTcURSqqKDmZmrS1BI5REQuCzs332HlTAq66IbxYZW/NoiIHQAAAABA3OCBY+yuuuqqyZMnR48bhvHQQw8VFxc/9dRTMQftKioqFi1adMUVV4TDJnXY7Ha7abAQAADi5VCr3ByVWscQnYqudQAAcFyNmhLduK5ItKFxHfQujqNly+gPf6CkpG+HdFK2uI6eYBhUV0fV1fSBz9s2kiJyc/OdolnETjNoQ1WgLoSIHQAAAABAfCBcFzuGYZ566imXy2V6tLy8/Nprr83Ly7vqqqteffXV+vr6zszp8XheffXVyy+/fMSIEf/85z87Ou3uu+/Oy8uLcd0AAHAiBtGOZrPUOrfgErieXw8AAPQjpVIoerAYjeugb5gxg559loYPP/JPdbObjGNO8HrptRL/9rIjcbhUK3fuIPOInaobGyoDDeHI7U0AAAAAABADxjCME58FHdu0adO5554bCAROeKbL5SoqKtq6dWv7wcLCwhkzZvh8vpaWlr1791ZWVp5wnhtuuOGxxx6LfcUA/YooirIstx+ZP3/+a6+91lvrgQHikF/5oCryf+wM0UVDXS4BO10AAOB4/uap3RxqjRj8RVr+cETsoM+QZXroIXr1VSIi8apqbmTU254P0n4zPXXu3CP/bAip71b6Vd1kKoFl5g5ypFv5hC4YAAAAAOCkh3BdHLz//vsXXHCBadXKuLv88suff/55lsXDYhgoEK6DXvFmRWtj1FbxYS7hrBx7r6wHAAD6kTvqDzb/P3t3Hh9VfTV+/Ny5s89kDwRIwioQFgEVURDoo1ahVqlLbasWsGq19ql97KM/7fb8rLWlP2u1T6t1QatFXLqolbYqqN3AiiJoBATCDiGs2SaZfbn394dWwr0XDJPZEj7vv+qZme89+GrMcM8956SOmBDoUJSfV41wKAzDRGF56SVZsECSJwVd8/cZXtJa7dG7h156ifJ//o84HCIiByPJ1/aEEprFDQSnqsyq8Ve4mUAAAAAApI+qTwace+65y5YtGzp0aLYvdO211y5atIhaHQBk1Z5QwlyrU0QmVLC1DgDwCQ4mE4ZanYic5PRQq0MB+uxn5fHHZWCnXzqMvXG28qQ6MvLCC3LttbJ3r4hIf4/97EFeq6GYEk/pr+0Jtcetmu8AAAAAdA+Fn8yYOXPmunXrbrjhhiydX1VV9ac//emxxx5zfPhkIwAga+qbLbqlhxY5SthaBwD4JJvjYXOQxXUoWKNHy9OLZXjAYiO7ekZARDZskHnzZOVKEZFBPse5NX7Lil00pS1rDLbH2WMHAAAApIlyXcb4/f6HH3741VdfnTx5cgaPtdvtc+fOXb9+/UUXXZTBYwEAlo7eWufOSz4AgN5lS9zimQ/KdShkPp/cd1XJgCoxtIDaxwWV4qSItLfLN78p998vmiaDvPazq32qVbdoJKm9tifUmaDHDgAAAEgH5boMO++88955552333573rx5bneP7u0OHDjwjjvu2L1795NPPllZWZmpDAEAx7CuJWYODilylLlorQMAfDJzd51TUYY4eOYDBa3cbp8x0Dd4sNi7DsW0iX1yx4f/U9dl0SL5+teltVVqfI6ZA702qx67UEJbujsYpGIHAAAAHD/KdVkxZcqURYsW7dmzZ9GiRTfccMOECRO6uXDO5XJNnTr1v//7v1988cVdu3b94Ac/GDhwYLazBQB8aG84eSBiXDhEax0AoJsOJOPmxXXDHW4W16HwzfAWe70ybJj4fIeD6pSAKPrH/7h6tXz5y7J2rQwpcnxqoM/y/9ahpPZKIxU7AAAA4LgZF0ojgyoqKubNmzdv3jwR6ezsXLVqVVNTU1tbW2tra2tra1tbm81mKysrKy8vLysrKysrO+mkk0QakrwAACAASURBVE499VSXy5XvxAHgBLW2xWKC2eAiZzmtdQCAbtgcj5iDdS6fOQgUmgluf5lqb5Nkba20tEhzs+i62MqT6shIarP347cdPChf/ap8/esyf75j+kDvG/sjuq4bjgoltFf3hGbX+rx2ng8GAAAAuotyXY4UFRWde+65+c4CAHBU+8PJ/WFjS4SInFzuzH0yAIDeyLJcx+I69Ao2kWme4peCrYoilZXidsvevZJKiXpGoGu5TkRSKbn/flm/Xu64w3lWlfzrgEXFriOeWro7+JkhRR6V1lIAAACgW3jYDQAAEZF6q9a6Wr+90s2jLQCAbtliKtc5FWWIg+EZ6B1meEs+rq35/TJsmHg8Yh8XVIotnmf6+99l3jyRQ85pVR7LilxHQnu1MRhNGSt5AAAAACxRrgMAQA5FU5atdRMraIkAAHTLwVSizbS4boTTY2dxHXqJMtU+1nW4kc7hkCFDpLxS7JM7LN+/e7fMny8b/+mc0t/6+1JbLPXqnmBco2IHAAAAfDLFPLYCAAqHy+WKx+NdI16vd8CAAcf4iKqq/fr1u/nmmy+//PIsZ4e+Y1ljcJ+pXFfjc3y6hoVDAIBuWR4OPB04aAh+rqjiAn95XvIB0lAfDT7Uts8QTLXYN904NBo5auH5ggvksm/E3muzGAYrIuUudVat38VUTAAAAOCYKNcBKGjmcl03qaq6cePGkSNHZjwl9D2HIsmXdgfN8QsG+/t7mIQJAOiWx9r3vxPpNARvr6wd7nDnJR8gDZrIdw/uMPeJXh6tXni7d/v2o36wrk6+emd0R9JitLiI9PfYz6/x2xnuAwAAABwddyFzQdf1zZs379ixo729va2tra2trb29XUTKuqipqamrq7PZ+BsMkBmpVGrDhg2U69Ad9S0xc7DG56BWBwDoPsvFdYPtLK5Db2ITmeYpfinYaohvKw385jfeH/5QXn/d+oObNskd17q/tkCiFRYVu4OR5Kt7gufV+Bw2euwAAAAAa3TXZUsikXjttdfefPPNVatWrVq1KhAIfOJHioqKTj/99DPOOOOMM84477zzvF7vJ34E6PPS7q7r16/fpk2byssZP4VP0BJN/WVXp/l34WcG+6so1wEAuudAMvF/D+00BMe5fN8sH5SPdID0taWS3zm4w/DVyCbyk/7DSlX7Cy/IPfdIImH9WUWRL9warZwYtdzYOMjnOLfax1BMAAAAwBLluszbtm3br3/968cff/zAgQNpH1JcXHzVVVd99atfPeWUUzKYG9DrmMt1Q4YMmTVr1jE+8uHuunnz5o0YMSLL2aEveH1PaE/IeM9poNc+q9afl3wAAL3RinDgKdPiuouLKj7D4jr0Qr9sbfogFjYEP/7/84YNcvvtss+44e6w/5gfqTsnZrd66mmQz35utZ+KHQAAAGBGuS6Ttm/f/s1vfvPll1/O4L/VyZMn//jHPz7//PMzdSDQu5jLdXPmzFmyZEm+8kEf0xpL/XmnRWvd7Fr/AC+tdQCA7nq0bd/qqHEN6m0VNSOcnrzkA/REfTT4UJuxHFeh2n/Ub6hNUUSkvV2+/315662jfF6RUy6JTJod8/ksXqzxOc6u9qqW/XcAAADACYxNaZmRSqXuu+++k08++aWXXspsBXT16tWzZs2aO3duc3NzBo8FAIjIe80R83+yB3jt1OoAAMdla8K4r8ttsw11uvOSDNBDE9z+MtX4Xaglldz07wWNpaVy//1y001ivXtdl/f+6HlribOlxeLFPaHE8n1hnhoGAAAADCjXZcDBgwenTZt2yy23hMPGgSGZ8tRTT40ZM+b555/P0vkAcAJqjaX2BJPm+KQK7q4CAI7D/mS8PWX8hXKSw6MK/UPolWwiUz3F5viK8OGN7Ioi8+fLz38uxRZvFNFl48ve+mXOPXsklTK+uKsz8Y+9ISp2AAAAQFeU63qqubn53HPPXbVqVQ4u9IUvfGHRokXZvhAAnCDeb4mZ7xP1c6u01gEAjsvmf7ccdTWSMZjozWZ6S8zV5vpo0FCZPussefZZOflkqyN02fSKd+tbzp07JWrsPpVdnYk39oXZzQEAAAB8jDuSPdLa2vrpT396/fr13Xy/w+Gorq4uLS0tKSkpKSmJRqNtbW1tbW0HDhzo7Oz8xI9rmnbNNddomvaVr3ylZ4kDwImuPa7tDibM8VP7cXcVAHB8LMt1o138QkEvVqbax7q8H8SOmB+jiayMdHzGX941WFUljzwiv/yl/Pa3xkN0TT5Y4hVFEon4gAFSWnrEq9s64jZFplV5FPbYAQAAAJTreujKK698//33j/0en8938cUXz5gx47TTTjv55JNdLpf5PbquNzQ0vP3222+++eZzzz3X2tp6tNM0Tbv22mvLysouvvjinmYPACew+uaI+YHufh77QFrrAADHQxdpiBlH4rtttsEOi6/9QC8y01vygen/2yvCgVm+MtuRBTanU269VcaPlwULxLAgQtfkgxe9qkPT9WQ4LAMGHLHubksgrohMHeClXgcAAAAwDDN9zz///LJly47xhilTpixatOjAgQNPPfXUDTfcMHnyZMtanYgoilJXVzd//vxHHnlk7969zzzzzLRp0452rK7rN954Y3t7e0//AABwomqPp3ZZba2bWMGtVQDA8dmfjHdoxt1cIxxuFteht5vg9pepxseYWlLJTVbtpCIye7YsXiwjRhjjuibrnvM1b3EEArJrl8TjR7y6ORBfddD6QAAAAOCEQrkuTaFQ6Fvf+tbRXq2qqnriiSfeeuutefPm+Xy+4zrZ5XJdccUV//rXv5588sn+/ftbvmf//v3f/va3jy9jAMC/vd8cNbfWVbjVap8jL/kAAHovc2udiIx2eXOfCZBZNpGpnmJzfEU4cLSPDBkiTzwh559vjGspZd3z3pZt9mhUduwQwyKIjW0xKnYAAAAA5bo0PfDAA42NjZYvzZw5c9OmTVdffXUPR/DPnTt306ZN06dPt3x14cKFq1at6sn5AHBi6oindnZabK07pdJNHwQA4HhtSUTNwdFOFtehL5jpLTF/O6qPBttTFlMKPuT1yoIF8t3viuPIh6C0pLL2D762XXZNkz175MAB6fro1Ia2WH2zxY8SAAAAcOKgXJem3//+95bxOXPmLFu2rNSwRDtdZWVly5YtmzVrlvklXdd//etfZ+QqAHBCeb8lZmysEyl30VoHADhulovrXIoy2OHOSz5AZpWp9rGmVlFNZGWk49gfvPRSefxxGTToyA8mlfd/62vfbReR1lbZvVuSXap+9S3RtS1U7AAAAHDiolyXjp07d7777rvm+Mknn/yHP/zB7c7kX869Xu+LL744ZswY80vPP/98MnnUpxoBAGadCW17R9wcn0RrHQDg+O1LxDtNi+tGOr38LQt9xkxviTm4IhzQTHPFDcaMkcWLxbCTPZVQ3v+dr2OvKiLhsOzYIaHQ4VffbY6ua6ViBwAAgBMUf5FMxwsvvGAOOhyORYsWOZ3OjF/O7Xb/5je/UVXVEG9paXn99dczfjkA6MPeb4latNa51Vo/rXUAgOPWELdYXDeKSZjoQya4/WWq3RBsSSUb4p+8ba6kRH7xC7npJrF1ufGQjCnvPe3v3GcXkWRSGhulufnwq2sORddTsQMAAMAJiXJdOlavXm0OfuUrXznllFOydMUpU6bMnz/fHH/55ZezdEUA6Hs6E9q2gEVr3cRyF611AIA0bLGqWNSZhgcCvZdNZKqn2BxfHg505+OKIvPny0MPSUXF4WAyprz7tK9zvyoiui6HDkljo6T+3ae65lB0U3us55kDAAAAvQvlunTs27fPHLQsp2XQV77yFXOwsbExqxcFgL5krVVrXanTNpjWOgDA8dNFNpvKdS5FqXW48pIPkCUzvSXmB5vqo8H2VHdXM5x2mixeLBMnHo4ko0r9s75Q80cjZIJB2bFDIhEREV3k7QORzVaPWAEAAAB9GOW6dJjLdUOGDJlmmMqfaWedddaQIUMMwT179mT1ogDQZ4QS2raOhDk+sdKtKDTXAQCO276kxeK6USyuQ59TptrHmnpGNZGVkY7uH9K/vyxcKPPny8dfu+Ih27uL/eF/V+wSCdm1S1pbRUR0kZUHIpbf3AAAAIC+ir9LpsNcrhs7dmy2L6ooyvjx4w3BpqambF8XAPqG91uimm5srit1qkNprQMApMXcWicsrkMfNdNbYg6uCAfMX66OQVXlppvkZz+ToqKPIvGQ8t4z/mj7R/cldF0OHJC9e0XTRNf1N/aFtnfQYwcAAIATBeW6dCSTxqEftbW1Obiu+SqtHz58CAA4plCS1joAQIY1xMLm4CgX5Tr0QRPc/jLVbgi2pJINVkXrY/vUp2TRIhk58qN/jHYoa570R9oP35oIBGTnTonFRBdZsS+8g4odAAAATgyU69IxaNAgQ6S8vDwH162srDREqqqqcnBdAOjt1rXEUqanv4ud6tAiWusAAOnQRbYmooagR7ENcbjzkg+QVTaRqZ5ic3x5OJDGaYMHy6JFcvHFH/1jtMP27mJ/NHD47kQsJjt3SkeH6CIr9ocbg91dkgcAAAD0XpTr0mEu1x04cCAH1zUP4ayurs7BdQGgV4sktS2BmDk+scJNYx0AID17k7GOlLGEMNLl4TcL+qqZ3hLz/73ro8GAlk4tzemU739f7rxT3G4RkWjA9t7Tvljw8A0KTZOmJtm/X1Ka/H1vaE+IPXYAAADo4yjXpcNcrtu9e3cOrmu+Sk1NTQ6uCwC92trWWMq0V6XIYRteTGsdACBNLK7DiaZMtY91eQ1BTWRluDPtMz/7Wfn1r+XDv9SGW9X3FvvjwSNqgm1tsmuXxOL635tC+8L02AEAAKAvo1yXjvHjxxsia9asicUsWjcyKBaLrVmzxhAcPHhwVi8KAL1dJKVvbqe1DgCQYZtjlOtwwpnpLTEHl4fbNdPI8e4bPVqeflrOOUdEJNRie+9ZfyJyxHe0SER27JBAp/y1KbSfih0AAAD6Lsp16bjiiisMkfb29hdffDGrF/3Tn/7U2tpqCF5yySVZvSgA9HbrWqLm1jq/wza82JmPdAAAfYFu1V3nUWyDWVyHPm2C21+m2g3BllSywarZtPt8Prn7brnlFrHbJXhAffcpY8UulZLGRtm7X3+9KXSAih0AAAD6KMp16Rg+fPj06dMNwQceeEDvwUOFx6br+gMPPGAIjhw58qyzzsrSFQGgD4im9C2BuDk+ocJto7cOAJCupkQsqKUMwVEuL79b0LfZRKZ6is3x5eFAD09WFLniCnnwQamslOAB9b2n/cmo8eeppUW279SX7Qo1R40/fQAAAEAfQLkuTfPmzTNE3njjjfvvvz9Ll3vggQeWL19uCF599dVZuhwA9A3rW2MJzfgghc9hO4mtdQCAHmBxHU5YM7wl5rJ0fTQY0DLQ9HbqqfLMMzJlinTuV+t/60uanrkKhWTzdv2FTcEWKnYAAADocyjXpenqq68+/fTTDcHbb7991apVGb/W6tWrb7/9dkOwrKzsmmuuyfi1AKDPiKX0Te1Rc3xihdum0P8AAEgf5TqcsMpV+1iX1xDURFaGOzNzfrk88IBcf7107rXXP+tPJYzf2RIJ2b5Lf/KdYHuMih0AAAD6FMp1aXI4HM8++2xRUVHXYDQaPeecc1555ZUMXmjp0qVnn312JGK8I/DEE08MGDAggxcCgD5mfWssqRmDPrttBK11AIAe0EW2WC2uq3W48pIPkGMzvSXm4PJwu5ah3RA2m1x/vdx7r+gB+9rf+8xte7ou+1v0+/8W2ttGxQ4AAAB9B+W69I0YMeKhhx4yBEOh0Jw5c37wgx+Ew+Eenh+JRH74wx9edNFFwWDQ8NLNN9/8uc99rofnA0AfFtf0jVatdePLXSqtdQCAHthjtbhupNPDbxecICa4/WWq3RBsSSUbrLpO0zZjhjzzjAz02tf+3q8lLX68gjHt/r8F126hYgcAAIA+gnJdj1x11VWPPvqow3FEo0Yymbzzzjvr6uqefPLJaNTiZvEnisViTz31VF1d3R133JFMGh8mnDlz5t13351+0gBwAljfEjW31nnstlGltD4AAHrEchJmnWk8INBX2USmeorN8eXhQGYvNGCAPPqonDfFvvYPPsuKnabqv1kVfP4l03c+AAAAoBeiXNdT11133V//+td+/foZ4o2NjfPnz6+qqrr22muXLl3a1tb2iUe1tbW9+uqr1113XVVV1dy5c3fv3m1+z5w5c5YuXep0OjOTPQD0RXFN3xSIm+MTyl0qvQ8AgJ5hcR0ww1ti/kpVHw0GzJMre8bplFtvlf+ab9/yske3qso5fPryluAdC7RYLLNXBgAAAHJN0TM0X75Xe+SRR3p4ws6dO++5555U6liDOIYOHTpp0qTq6uqSkpKSkhKfzxcKhQKBQCAQ2Lt3b319/Y4dO47xcbvdfuedd37729+22Siy4gTicrni8SPqLnPmzFmyZEm+8kGvUN8SrW82Njd7VOXzI0oo1wEAekLT9VsP7ggdOQzTa1PvqxrObxicUH7Z2vRBzLgA4pKiytn+smxcbscO+dFDiYozQ4rV34YjbbbAm/4FP7BVV2fj4gAAAEAuUK4TEVF6wx6j6urqMWPGdI289tpr+UoGyBnKdTheCU1/bntHLGX87XZ6f8+4MiZhAgB6ZE8ydtch4wyMSW7/jWUD85IPkC/vRYMPt+0zBCtU+4/6DbVl5+/X4bD85LF4fHBExOImRrhVbXje9+1bbOeck42LAwAAAFlnXBCNgtXU1NTU1JTvLACg0G1oi5lrdW5VGVXCGGEAQE9tMrUTichIpzv3mQD5NdHtL1Ptbakjpl+2pJIN8ciY7Kxy9Hrlrm86Fy+VD2IR82PH3vLUqEuD/3NX0bvvKt/6lqhqNlIAAAAAsoixigCAviOh6RvbLFaXjC93OWy9oJEaAFDgLBfX1WWnOAEUMpvIVE+xOb48HMjqdefOdp433O2wevDYV6GdckXw+SX6jTdKc3NWswAAAAAyj3IdAKDv2NgWi5pa61yqUldK3wMAoKc0Xd8aN+5G9Sq2QSoN3DgRzfCWmB+Gqo8GA1rS4t2Zc+7Jrs9N8vh8Fi/5+qdO/XJw3Ub9yitl1aqsZgEAAABkGOU6AEAfkdT0DW1xc3xcmcvOrzsAQI81JeMhLWUIjnZ5s7SpCyhw5ap9rKm1VBNZGe7M9qVPr3Fdepqnf38x//D5q1KTvhTsCOk33SQLF4ppaiYAAABQoLh/CQDoIza1x6MpzRB02pSxZbTWAQAywHIS5kinJ/eZAAVihrfEHFwebteyXyUbX+46d7S7tlbspsGYxdWpiV8KiqovXCi33CIdHdnOBQAAAMgAq4nvJ57vf//7+U4BANAjSU3/4Chb62itAwBkxKZY2BwcTbkOJ7CJbn+Zam9LHTH9siWVbIhHxmR/p+OkCrem6WucsaYmiRxZTC+tTZ1yRei9Z3zLlyvz58vdd8uoUdlOBwAAAOgRynUiInfddVe+UwAA9EhDezyStGitqyt15SUfAEAfo+n6toTV4jo7i+tw4rKJTPUUvxxsNcSXhwM5KNeJyKn9PLqI3R47dEhaWo54qaQ2OeELofd/529slKuvlltvlUsvzUFGAAAAQJroOAAA9HopXSxb68aWuZwq+4QAABmwx2pxXR2L63DCm+EtMf8M1EeDAS1p8e4sOK2f5+QKV//+Ul0ttiPvcJQPS078Qshm1+NxWbBA/u//laix5l4oOjpk61ZZs0a2bJH29nxnAwAAgHygXAcA6PUa2mNhU2udw6aMKaO1DgCQGQ1xi0mYLK4DylX7OJfPENREVoY7c5bDaf08daWu4mIZNkxcR377Kx+eGH9JWLGJiLz8slxzjTQ25iyvTxAOy1NPyZe+JDU1UlIiI0fK5MkyapSUlcnAgfL5z8sTT0hn7v4tAgAAIM8o1wEAereUbr21bmyZy0VrHQAgQ7bELbpyRrso1wEy3VtsDq4IBzRdz00CisgZVZ7RpS6nU4YOleIj0+k3OjH+0o8qdps3y5e/LK+/npu8jioQkO9/X6qrZe5c+d3vpKnJ+Ib9++X55+Waa6S6Wm67TVqN00YBAADQB1GuAwD0blsCiVCC1joAQBbpIlviEUPQZ1MHqiyuA2Si21+m2g3B5lSiwfRTkz2KyJn93SOKnTabVFfLwIHSdU5t/7r4+EtCH1bsQiH5znfkZz+TZI6mdRotXSpjxsiPf9ytoZednXLPPVJXJy+8kP3MAAAAkFeU6wAAvZimy/pWi3aHMWUuN611AIAM2Z2Ihk2L60Y5PSyuA0TEJjLVY9FgtzwcyGUaiqJMH+gdVuQQkdJSGTpUHI7Dr/YfkxhzYVhRdBHRdfntb+XGG+XQoVwmKCJy331y4YWyb9/xferQIfn85+WHP5Rc9SsCAAAgDyjXAQB6sS2BeNDUWme3KWPLaHcAAGRMQ8yiSajO5c19JkBhmuEtMdeu66PBgJbTFjZFZOYg37Aip4i43TJsmPj9h18dOCFed2FE/p3oe+/JlVfK22/nLr2bb5ZbbpGUsfTfLboud9wh8+eLZvzmCwAAgD6Cch0AoLfSdFln1VpXV+p0q/yCAwBkzJaERblulJPFdcBHylX7OJfPENREVoY7c5yJIjJjoKfW7xARVZXaWunf//BgzEET46PPP/zj3NYmN90kCxfmogb2q1/JL37R00MWL5bbbstENgAAACg83M0EAPRWWwMxy9a6cWytAwBkji6yNW58OqTIpg6008kNHDbdazEPc0U4oOV8gKNNUc4e5K3xfbROr6JCBg8W+7+X69WcHhvVpWKnabJwofz3f0tHRxZT+sc/5OabM3PUfffJn/6UmaMAAABQUIzroNETHR0d77zzzoEDB1paWjqy+mVfRES+973vZfsSAFCwNF3WtcbM8dElTo+dh1EAABmzOxEzL64b6fSwtg7oaqLbX6ba21JHTL9sTiUa4pExOZ8ca1OUs6v9r+0J7g8nRcTrlWHDpKlJwmERkdopMV2XLa8dbpB94w254gq5+24ZPz7zyUSjct11kszQWFBdl69/Xc4+W4qKMnMgAAAACgTlugyIxWKPPfbY4sWLV69enUpvDn1aKNcBOJFt74h3mlrrVEXGldNaBwDIpE2xsDnIJEzAwCYy1VP8crDVEF8RDuS+XCciqiKfrva9tid0IJIUEbtdBg+WQ4ekpUVEZPAZsWRM2bHc/fH7DxyQ66+Xm26SK67IcCaPPirbtmXywKYmuf9++e53M3kmAAAA8o7+g5764x//OGzYsG984xtvv/12Lmt1AHAi00XWtlhsrRtd6vLSWgcAyKgtcYvFdXX5KD8ABW6Gt8TcdVofDQW0DHWWHSe7TTmvxlfl/egxZUWR/v2lpkZUVURk+Mzo0LOO+D4Zj8u998r//I9ELH7o06Rp8vOfZ+y0j/3iF5JIZP5YAAAA5BH3NHvkhz/84WWXXbZv3758JwIAJ5btHfEOi9Y6ttYBADJMF9mWsFhcN4DFdYBJuWof5/IZginRV4Y785KPiNhtyrnVvkq3+nGkqEiGDhW3W0RkxNnRIdOMw9VfeUXmzpXt2zOTwIoVsmNHZo7q6uBBWbo088cCAAAgjyjXpe+xxx6744479JzvzQaAE5wu8r5Va92oUqfPwe81AEAm7UpEzYvrRrG4DjiK6d5ic3BFOKDl7y/OTptyfo2/okvFzumUoUOltFRE5KSzI7Wnxw0f2blTrr5aXn01A1d/5ZUMHJLjkwEAAJAX3NZM06ZNm2666aZ8ZwEAJ6IdHfGOuLG1zqYIrXUAgIzbbDUJk8V1wNFMdPtLVbsh2JxKNFj9KOWMU1XOq/GVug5X7BRFBg6UQYPEpsqo88PVpxl77MJh+e53ZcGCns6cXLmyRx/Py8kAAADIC8p1afrJT34SjVr0dgAAskrX9bWtxvspIjKyxOmntQ4AkGmbYmFzcJSTxXWANZvIVE+ROb4iHMh9Ml25VdusIyt2IlJSIkOGiNMldbMj1adYfMN84QW59lrZuzf9627enP5nP/FkZv0AAAD0Jcan3tAd+/bte/bZZ4/xBo/HM2XKlBEjRlRUVLhcdHsAQMbs7Ey0x4xDyWyKnFzuzks+AIA+TBPZFjc+oles2gc6WFwHHNVMb+nSYJuhkFQfDQW0ZIktn7cgPHbb7Fr/K7uDgfjhL5NutwwbJnv3St0FkVRS2b/O+NO9YYPMnSt33SXTpqVz0ebmnqR8LOGwhELi92frfAAAAOQY5bp0LFu2LHGUiRhjxoz5zne+88UvftHp5O/wAJBhusg6q9a6k4pprQMAZN6uRDSqG8cvs7gOOLZy1T7O5VsfC3UNpkRfGe6c7S/LV1YfcqvK+bW+V3YHg4nDP9o2m9TUSGuryJywrikHPnAYPhUIyH/9l8ybJ//5n2I7nq+cyaQkkxlJ3Fo0SrkOAACg7+DmZjpWrFhhGb/mmmvefffduXPnUqsDgGzY3ZloNbXWKSLjy+ljBgBkHovrgPRM9xabgyvCAa0Apjf67LbP1PrNT3qVl8uQoTLxslDlKItnc3VdFi2Sr39dWluP41p2u2R12g61OgAAgL6Ecl063n33XXPwsssue+yxx9xuprEBQFboImtbLZaGnlTiLHaq5jgAAD20OUa5DkjHRLe/VDXO8mlOJTYnCmIBvM9hO7/G77Ub74d4vTLiJJk6P9zPqmInIqtXy5e/LGvXHse1qqvTTvMTVFQItx8AAAD6Esp16WhpaTFEfD7fr371K0VhLg4AZEtjMNEStWitO7mCGxUAgMzTRLbEw4ZgsWofYGeQBvAJbCJTPUXm+PJQe+6TsVTstM0e7PeYKnaqKkOG6ud+PdxvlPUUy4MH5atflUWLunuhceN6kmZ+TgYAAEBeUK5LR6tp/sWVV15ZVVWVl2QA4ASxtsXicezhxc5iAQNIfAAAIABJREFUttYBALJgZzwaMw3uG+Vw84Ae0B0zvaXmH5b6aCigZXOZ2/Eodthm1/rcqsXPdGU//cL/DtaOs041lZL775dbb5Vg8JOvMmNGD9M8qk99KlsnAwAAIC+4xZmOpGlb9KxZs/KSCQCcIBqDiWar1rqJtNYBALLDcnHdaJc395kAvVG5ah/n8hmCKdFXhjvzko+lEqd6fo3fZVWx8xXJRbeFJp9z1OLiP/4h8+bJ1q2fcImLL5YsTeH53OeyciwAAADyxThNHt3Rv3//xsbGrpGRI0fmKxngRLNy5crzzjvv2O8pKSm5+eabp0+fnpuUkAPvW7XWDSt2Fjt57gQAkBWW5ToW1wHdN91bvD4WMgRXhAPn+0ptBbNIotytzqr1L2sMxlLGblqbXZ9+XWjEcP/vHrNek7x7t8yfL7fddqzK2ciRMmOGLF+ewZRFRCZNktNOy/CZAAAAyC9FNw14wSeaPHnymjVrukZ2795dW1ubr3yAPszlcsXj8TQ+6PF4Nm/eXFNTk/GUkHtNoeRre4zDhhRF+dwQf6nL+u4JAAA9oYncvH+rYRhmic1+d9WwQikyAAVPE/nOwR3tKWOD2rcqauoKrPJ9KJJctieY1CxectoU9w7fz++yRywq+B+54AL53vfE5bJ+delS+cxnMpPnx37/e7n88gyfCQAAgPyiKSEd5jV1zc3NeckEwNFEIpHVq1fnOwtkhuXWuqFFDmp1AIAs2RGPWCyuc3mo1QHdZxOZ6ikyx5eH2nOfzLH189jPr/E7bBY/4nFNjw4PPfBEavjwo3785Zfl2mulqcn61dmz5YILMpSoiIjMmCGf/3wmDwQAAEAhoFyXjvHjxxsiO3fuzEciAI7K5/NNmTIl31kgA/aGkgcixoeyFZGTy4/yADMAAD1mvbiuwPqBgMI301tqroDVR0MB7ag74fKlv8f+6Wqf3bJil9I3SugXj2rHGMm/aZNceaX87W/Wry5cKIMGZSbPoiL59a+ztQ8PAAAAecQwzHSsWbNm8uTJXSPXXXfdo48+mq98gD7MPAyzX79+EydOPPanBg0adOONN5555pnZTA058kpj8EDYeENniN9xdrUvL/kAAE4Ev2ht2hALG4I/7De0yu7ISz5A73V/617zBrtLiipn+8vyks+x7Q0n/7onaFpjJyLisdtm1fr+9hf1nnskkbD+uKLIF78oN98sdrvxpVWr5D/+Q44xUbM7VFWee04uvrhHhwAAAKAwUa5L04gRI7Zv3/7xP5aVlTU2Nvp83DsGMsxcrpszZ86SJUvylQ9ybF84uazRtLVO5MIhRRVuJmECALIiJfq39m+P6UessSqx2X9aNSxfKQG913vR4MNt+wzBStVxV78htoLsEdsTSvy9KZyyulXic9hm1/obt9huv132Gf9Mh516qixYIJWVxviLL8pVV0nY+CRAdzmd8uijMm9emh8HAABAgWMYZprmzp3b9R/b2truuuuufCUDAH1VfbPF1rpav4NaHQAge3YlYoZanYiMdjEJE0jHRLe/VDX2mjWnEpsTFl/zCkGNzzFzoNdqKKaEEtrS3cHBI7XFi2Xq1KOe8O67cuWVsmqVMX7xxbJihdTUpJNVVZX87W/U6gAAAPoyynVpuuWWWwYMGNA1ct9997355pv5ygcA+p6DEYutdSIyocKd+2QAACeOhpjFuLqRLK4D0mITmeopMseXh9pzn0w3DSlyfGqgz7L1L5TUXmkM2n3aL38pN90ktqPcU2ltlZtukoULRTuy9H/qqbJ6tXzhC8eXz+c+J6tXy1lnHd+nAAAA0LtQrktTUVHRwoULlS6zOxKJxIUXXrh27do8ZgUAfUl9S8wcrPU7KmmtAwBkU0PcYlbdaMp1QLpmekvNpa/6aCigWTyYVSCGFDlmDvJaV+wS2qt7gpGUNn++/OpXUl5ufUIqJQsXyq23SkfHEfGqKvnd7+TNN+Xii8VxzG2YqioXXCD//Ke8+GKaPXkAAADoRSjXpe+iiy763ve+1zXS1tZ21llnPfXUU/lKCQD6jIOR5N5QwhyfSGsdACCbUqJvjxtn9JXY7FV2Z17yAfqActU+zmVc9J4S/a1IZ17y6aZhRc6zBngVqwV7HXFt6e5gJKWffrosXiwTJhz1kOXL5aqrZMMGY3zqVPnjH6WpSZ58Uq67TqZPl+HDpapKhg+XqVPlmmvk8celsVFeeklmzszonwoAAACFStGt9iej+2688caHH37YEJw9e/b3v//9s5hVAfSYy+WKx+NdI3PmzFmyZEm+8kHOvLonuDdkfOC62mc/r8afl3wAACeIbfHoT1saDcEzPEXXlA6wfD+A7ngvGny4bZ8hWKk67uo3xGZVDyscWwLxN/eHLe+blLnUWbV+t6qkUvLgg7Jo0VEPcTrlppvkiiuyliUAAAB6P+PCZxyvBx980O12/+///m/X4NKlS5cuXTp27NhZs2adccYZAwYMqKystNsz/G979OjRmT0QAArEoWjKXKsTttYBALLPchImi+uAHpro9peq9vbUEV/wmlOJzYloXWH/fI0scSY1/e2DFist22KpV/cEZ9f6napy000yfrzceacEgxaHxONy772ycaN897vi5vssAAAArFCu6ylFUX7+858fPHjwmWeeMby0YcOGDeaZF5lDZySAvur9ZosbIoO89ioPv7YAANnVELNcXOfNfSZAX2ITmeopeiXYZogvD7UXeLlORMaUuXSRVVYVu9Zoaunu4Kxav0tVzj5bhg+X226TbdssDnE6RVFkyxYZP14+7CfUdIlruk0Rpy39/sIPPpB//UsaGuTAAYnHxe2WAQNkzBiZPl1Gjkz7VAAAAOQB9z17KhKJ3HbbbeZaHQAgPS3RVBOtdQCAfEjq+o5EzBAsVe397Y685AP0JTO9pUuDbYZnTuujoYCWLLEV+q2JsWUuTZfVh6wqdrHUX5tC59f47TYZMkSeeEJ+/GNZtuzwG1RVLr9crr5aKiulOZp680CsMZg4FE2FEtpHb1CUcrc6yGsfVuw4qdhp70b17tChj8Zv7thx1PeMGSNf+YrccIMUFx/vHxcAAAB5UOjfiQvchg0bPv/5z2/cuDHfiQBA31HfEjX3Dg/02gd4+Z0FAMiunYloTNcMwTpa64BMKFft41y+9bFQ12BK9LcinbN8ZfnKqvvGl7vimr62JWp+6WAk+eqe4Hk1PodN8Xrlxz+W006Tn/1M4nGpqZGf/lRGjZJtHfGlmyN7Qgnzx1O6fiiSPBRJvt8SdavKKZXuKf29Hrt10S4Wk7vvlrvvlrBFJ/ARNm6U226TBQvkzjvlP/9TVPX4/8wAAADIIVu+E+jFDh069JnPfIZaHQBkUGsstSdocRdjIq11AIDsa4hbtM6MKvhJfUBvMd1r0ee1PBTQesmih1Mr3Ueb93Awkvz73nDq33+OSy+Vxx+XWbNk0SKpHqb9flvHH7Z1WNbqDKIpfeWByMKNrR+0GTt9RWTvXpkxQ+6445NrdR9rb5f/+i+ZPVvajINIAQAAUFgo16UpmUxefvnlu3fvznciANCnvG/VWtffQ2sdACAXtliW61yU64DMmOj2l6rGL3XNqcTmhEXLWmE6tdI9vtxl+dLeUOKvTcGPK3Z1dfLjH0vEkfxNQ/v2jvhxXSWS1P+8s/NvTaGudcw1a2TKFHnnnXTSfv11OeMMaWhI57MAAADIDcp1afrZz372z3/+M99ZAECf0h7XdgctttZNqrC+JwIAQAYldX2bqVxXarP3U1lcB2SGTWSqp8gcXx5qz30yaTutn6eu9GgVu+Tfm0KpfxfZdnTEn94S6EwYR+x206qDked3dGi6iMiOHTJ7tjQ1pXeSiMiWLTJzpmzZkv4JAAAAyCqaFdKh6/qjjz76iW8rKSkpLy93ubjLDADd8l5zRDeNQurvsQ/ycZ8UAJB12xPRuOnX0Gha64CMmuktXRpsM/yk1UdDAS1ZYusdNygUkTOqPJqubw5Y9MztCSXePhiZVuVtjqZe3NmZ0Ho053NrIP7anuCsWv9LL0lzc09OEhE5eFAuu0zefls8/IcNAACg8PSOb8OFZvny5du3b7d8yW63X3bZZV/+8penTZtWXl6e48QAoPdqj6UsW+sm0loHAMiJzTGLSZh1Lm/uMwH6sHLVPs7lWx8LdQ2mRH8r0jnLV5avrI6XIjJ1gFdELCt2Q/3OaEp/bntHLJWBnXzvNUerPPavf9395JNpTsLsat06+d735L77ep4XAAAAMoxhmOn43e9+ZxkfP358fX39b3/72wsvvJBaHQAcl/dboubWun5utZrWOgBATmxJWC2uc9KEAmTYWd5ic3B5KKCZvgoWsg8rdsOLnYb4YL9jkM/+96ZQeyyVqWv9tSkUTGq//GVmTrv/ftm4MTNHAQAAIIMo16XDsrWurq5uxYoV48aNy30+ANDbtcdTOy1b6yq5SQoAyIWE1eK6MtVeyeI6INMmuf2lqnHST3MqsTkRzUs+aVNEZgz0DjuyYjehwt0cTa1tyeSfJaHpy/eFzjxTPv3pDJyWTMqCBRk4BwAAAJlFuS4d+/btM0QURXnmmWdKS0vzkg8A9HZrW2Lm1roKt1rtY2gzACAXdiaiCfPiOlrrgCywiUz1FJnjy0PtuU+mhxSRGQO8tf6PvrJWuNVKt7rqYCTjfYIb2mKdCe1rX8vMaX/4g7S2ZuYoAAAAZArlunSYy3Wf/exnTznllLwkAwC9XUdc29FhsfZjUoVHyX02AIAT0qZY2Bwc5WRxHZAVM72l5q959dFQQLMYt1DgbIqcPchX43OIyLAiZ0LTN7XFMn4VTZcPWmMXXih+fwZOi8VkyZIMnAMAAIAMolyXjra2NkNkzpw5eckEAPqAta1R8wPI5S61xk9rHQAgRzabJmGKSJ2Lch2QFeWqfZzLZwimRH8r0pmXfHrIpihnV3urffZBPvvuYCKuZWUJ39aOuMslM2Zk5rS//z0z5wAAACBTKNelwzz0ktY6AEhPZ0LbFrBorZtY4aa1DgCQGwld3x43LpoqU+0VpvVaADLlLG+xObg8FNBMY2l7BVVRzh7kK3Ope4KJLF1iXyiR0mXKlMyctnZtZs4BAABAplCuS0d5ebkhUllZmZdMAKC3e7/ForWu1GkbTGsdACBXdiSiSTH+OqpjEiaQTZPc/lJTRbw5ldicMNbOewu7TVFEWmOpLJ2f0qU9lho5MjOn7dyZmXMAAACQKZTr0mEu18VimZ9NDwB9Xiihbe+weAB5UqVHUWiuAwDkiOUkzFFOT+4zAU4cNpGpniJzfHmoPffJZFAokcXuwFBS69cvM0d1doqmZeYoAAAAZATlunQMGTLEEGlsbMxLJgDQq73fGjPPOyp1qUNorQMA5NCmWNgcpFwHZNtMb6n5+az6aCigJfOQTYYksznMM6np3gz1/dpsYuOGEAAAQCHh21k6vvjFLxoiK1euzEsmANB7hZLa1qNtraO1DgCQK0nRd5gW15Wr9kq7Iy/5ACeOctU+1uUzBFOivxXpzEs+GWG3ZfF7rN2mhEKZOaqsLDPnAAAAIFMo16XjggsuKC0t7Rp59tln85UMAPRS61osWuuKnerQIm6PAgByZ1vcYnHdGBeL64BcmO4tNgeXhwLmb4m9hd+exdssfoft0KHD/+j1Snm5lJWJqh73USedlMG8AAAAkAGU69Lhcrkuv/zyrpGNGzc+99xz+coHAHqdSFLbErDY+jmxwkVjHQAglzbHLSZhjmQSJpATk9z+UtU4Bb05ldicMPa89hbl7uMvnXWPqiilTjWRkHvukTfflLY2CYWkpUVaWyUWk61b5fnn5RvfkOrqbp02eXKW0gQAAECaFL3XPrOWX7t37x47dmyoyxyK2tradevWlZSU5DEroO9xuVzx+BHzEufMmbNkyZJ85YNMeetAeFO7cRJmsdN2ybBiynUAgFy6t2XP5njEEFzQf2iFSrc3kAsvdja/EmwzBE9z+68vG5iXfHpoR0f8d9s6eniIqki1zzG4yFHpVkucqktVFBGXqnjtNhFJaHpTKHkwkuxMaAlNFxGf3VbqUgd57RVuNZWSpUvl//0/eeONY13iz3+WCy/sYZoAAADIJONTbOimwYMH33vvvV/72tc+jjQ2Nl500UWvvvqq2+3OY2IAUPgiKX2L1da6CeVuanUAgFxKir7dtLiuQrVTqwNyZqa3dGmwzfAccX00FNCSJbbed8ui1u9wqUosleaD0aUu9fR+7rFlbo9dSenSEk22x7Wkpgz02u02ZWsgXt8S3d4R145yfLHTNq7MPfN892c/a3vhBfnmN6WpyeJtFRVy/vnpJQgAAIBsYRhm+m644YZvfOMbXSMrVqyYPXv2vn378pUSAPQK61uj5jsYRQ7biBJnPtIBAJy4tsYi5sV1o50srgNyp1y1j3X5DMGU6G9FOvOSTw/ZbcqYMlcaH3Sryqxa//VjyiZUuLd2xH67NfC/a1t+09AeSmi1fse+cPLxTe3Pbe/YGjhqrU5EOuLaygPhhz9o+2tT6LOf01evlmnTLN52443i5Hs3AABAgaFc1yO/+MUvujbYicg///nPSZMmPfnkk6lUKl9ZAUAhi6b0BtMYTBGZWEFrHQAg18xjMEVktItyHZBT073F5uDyUEDrncs7zujvUY7ze+0Ar/3aMWUTKtyrDkYe/KDtpV3BnZ0JVZEvjCg5pdL9xr7w01sCByPJbp6W0vV3DkaeaGi3l6b+9jeZP/+IVysq5FvfOr70AAAAkAOU63rEZrM99NBDd911l812+N/kwYMH58+fX1dX96Mf/WjNmjXU7QCgq3Wt0aTpkWCfwza8mLFjAIBcsyzXjXQy3B7IqUluf6lqnHvZnEpsThhn1fYKZS711EpP999fV+q6amRJUtOf2NT2j72hSFITEVWRy4YXV/vsL+7ofGN/OI002mOpJxvaG6PxJ56Qyy47HP/pT6W8PI3zAAAAkF2K3jufVsu7f/3rX13/8bXXXrvrrrs0TTO/U1XVfv36lZeXdy3pZcS6desyeyBQgFwuVzx+RCfWnDlzlixZkq980EPRlP789o6EqVw3tcozujSdqUEAAKQtoevfOrAtceRfiPqpjh/1H5qnjIAT14udza8E2wzByZ6ir5YOyEs+PRRP6U9ubm+OfvLDu2PLXHOGFu3sTLy4o6PrvPjZtf6Jle4XtndYrnzuPpsiXxxR0t/umDlTVq+WL31Jnn22J+cBAAAgW3rf3uYCMX369G6+M5VK7d+/f//+/VnNBwB6hQ9ao+Zanc9uG8nWOgBAzm2NRxKmhxdHuY6jJwZApsz0li4Nthl+IN+LBAPFyRJb77tx4VSVz48ofrIhEE5aPNT7sUE++wWD/ds74s9t7+j6HXlSpXtSpfsfe0M9rNWJiKbLizs75o8qfe459YYb5PHHe3geAAAAsoVhmACAHIml9I3tMXP85AqX7Xj3ewAA0GPWi+ucLK4D8qBctY91+QzBlOhvRTrzkk/PlTrVS4YVudSjfsv1OWyXDisOxLUlOzu71up8dtvZg3xbA/G3Dlj8NyoNkaT+xx2dtYPlL38RDw8kAAAAFCrKdQCAHPmgLWZ+vNhjt40sYQwmACAPjrK4jpvZQH5M9xabg8tDAa3XrvCo9TvmjSotc6mWr3662udSlee2d8RSR/wBz6jy2G3Ka3tCGczkQCRZ3xy19742RQAAgBMI5ToAQC7EU/omq9a6CRXHeOYYAIBsiev6rkTUEOxvd5Sr3M8G8mOS219q+gFsTiU2m35Ue5EKtzp/dOnYMuPTaQO89jFlrn/tD7fFjthv57Qpkyrd61ujgfgn7707LisPhFO9tvAJAABwIqBcBwDIhQ1tsXjKeIPAoyqjaK0DAOTD9kTUYnEdkzCB/LGJTPNYNNitCAdyn0wGuVVlztCiL48qGV7s/PgptTOrPOGktuaQsRI5qtTptCnvNWe+QtmZ0Hq+CQ8AAADZw6OjAICsi2vWW+vGl7tprQMA5MWmmMWguVFMwgTyaoa35JVgq6GQXh8NdmqpIpv1SMneosbn+MIIR0dc2xKI7Q8nR5W43j4YTmjGhwZOKnG2xVL7w8ls5LCpLV5XyqNyAAAABYpyXZrWr1+f7xQAoNfY0BaLmVrr3KoyutSZl3wAALBcXEe5DsivctU+1uX74MhqelLX34x0zPKV5SurDCp22k7r99F/Zz5otXiardbv2NKerR64XUG66wAAAAoX5bo0jRs3Lt8pAEDvkND0DVY3I8aXu+02eusAAHkQ1/VdCePvpiq7s4zFdUC+TfcWf2Bqfl0eCpznLbUpfeerY2dCa44at9O5VcVntx2MZKW1TkQiSb0jrhU72YoCAABQiPiWBgDIro1tsbhpzo9btdXRWgcAyJOt8UjSYnEdrXVA/k1y+0tNhfPmVKLBqiO299pnNe6yxKmKSHtcy951A3FjjRAAAAAFgnIdACCLEpr+QZtFa924chetdQCAfNnCJEygUNlEpnmKzfE3Ih25TyZ72mMWZTOnqohI3DRDPoOi2TwcAAAAPUG5DgCQRZva4+atdS5VGcOWewBA/myKhc3BkZTrgMIww1tifqqrPhrs1PpOZ9gxymZZHfnJ43IAAAAFi3IdACBbkpr+gdXWunHlbju/fwAAeRLX9d1J46+n/qqDxXVAgShX7WNdPkMwqetv9qEGO800j1dEPnzKzaVmsabmtlOwAwAAKFDcLgUAZEtDezyaMu7ecKnKGLbWAQDyZ0s8bF5cV+fy5iUZAJamey3mYS4PBSyrXL2R02os/IeL5UqdavauW+bK4uEAAADoCcp1AICsSOliubVuTJnLwdY6AED+bIlHzUEW1wEFZZLbX2pqeG1OJRqsFk/2RiVWNblYSg/EtQHebHX6FjlsPmZcAAAAFCq+qAEAsqKhPRZOGlvrnDa21gEA8qwhzuI6oNDZRKZ5LBrs3ugr8zD7eay73BqDiSFFjiw92ja0yJGdgwEAAJABlOsAAJl3tNa6sWWurG7jAADg2KKatitu/A1VZXeY+3gA5Nd0b4lNMX5vrI8GO7VUXvLJrH4eu8eq0W1LIFbksNX6s1JXG1vuzsaxAAAAyAjKdQCAzNsciIUSxtY6h00ZW05rHQAgn7YmIikx7r4a5WRxHVBwKlT7GNPPZlLX3+wTDXaKyGirdc5bA/FwUjutX+brahVule46AACAQsYzpGlqaGjIdwoyevTofKcAABZSur6uxWIt0JhSp5OtdQCAvNpitfiqzkW5DihE073FH8RChuDyUOA8b6m58a7XmVThrm82fmdO6fLOwejMQd4qT+RAJJnBy80Y4O31/8oAAAD6NMp1aaqrq8t3CqLrxueCAaAQbAnEw0njf6DstNYBAApAQ8yiXHeSgwFxQCGa5PaXqvb21BFVq+ZUoiEeGdMLq+yaJrt2yc6d0tEhQ4bIpEn2EcXObR1xw9vWHIqc2s89q9b/1JZ2LUN/6R9W5Kgr46s4AABAQWMYJgAgkzRd1rdabK0bU+p0q/zSAQDkU1TTdieMv6QG2J0srgMKk01kmqfYHH+jV83DDIdl8WKZM0fKymT4cDnnHLn4Ypk8Wdavl0/X+Oym4RNxTX+1MTjIZ/90jT8jCZQ61TlDizJyFAAAALKHO6cAgEzaEogFTVvr7DZlLM/zAgDybVsiarW4zpOXZAB0x3RviXnuZX002JHK5KDILInF5Cc/kSFDZN48+fOfpaNLkTGVkhtvlGK7OrvWoia3JRB/Y1/41Er3KZU97f112pTLhhd57Nz8AQAAKHR8YwMAZIymyzqr1rq6Uif3CAAAedcQC5uDlOuAQlah2sc4jXMvk7r+VrQzL/l037p1MmGCfPe70txs/YY33pDbb5fx5a4z+lv8V+iN/eGNbbFZtf7pA9Mf+1nksF0xsqSfhwZiAACAXoCbpwCAjNnWETe31qmK0FoHACgEDXHj4jpFZHQv3IAFnFCmey3mYf4zFNAKeJv7n/4kZ50lmzd/wtvuvVd+8xv5j0G+yf0sKnZ/2RVc2xKdPsB70ZAi88zMT1Tjd1xdVzrQS60OAACgd+B7GwAgM3Q5SmtdmctLax0AIN9iur47ETUEB9idxTY1L/kA6KZJbn+pam8/cvplcyrREI+MKchy+9NPy7x5ohmfYbP2ta+JyyVXXOGr9KivNQZTXUqQKV1/eXewOZo6e5Cv2m//e1N4c3usOyVKv8M2fYB3YqX7uEt8AAAAyB/KdWmaPn16Rs7RdT0SibS2tra1tXV0dOhHfzzwlltuufXWWxXT1H4AKBDbAvGOeMoQVBUZW0prHQAg/7bEw+ab57TWAYXPJjLNU/xysNUQfyPSUYDlurfekuuu626tTkRiMbnqKlm/Xu66yz3Qa3+1MdQUSnR9w6qDkT2hxPk1/kuGFTVHvWtbog3tsUDc4gKqIjV+x7gy19gyVxrdeAAAAMgvynVpWrFiRcbP7OjoeOedd95+++1XXnnljTfeMLx67733bt++ffHixT6fL+OXBoAe0kXWthpbFkRkVInL56C1DgCQf5tNkzBFZKTDnftMAByv6d6SpaE2w/TL+miwI5UsVgvotsaBA3LJJRK1+FJ8LLouCxbIu+/Kgw/a544q2dERX9Mc3d4R1/79x90bSi5qaB9Z6jy9n+ecat851b72eOpQJNUR1xKarijitdvKXLYqj91BlQ4AAKDXUo7RzoU82rhx48MPP/zQQw8lEkc8WHfmmWe+/PLLZWVl+UoMyDGXyxWPx7tG5syZs2TJknzlg6PZ1hFfsS9sCNoU5dJhRX7KdQCAArCgefeuxBFDmxWRe6qGFzEME+gNftm694NYyBC8rLjyfF8B/e143jxZvDj9j3s8cv31csstUlsrsZS+O5g4EEm2xVLxlC4iTlUpc6k1Pke1z+6wKZousaikUqJp0t4ue/f7MWcHAAAgAElEQVTK5s3yzjty5ZUydWrG/kQAAADIGcp1BW39+vXXX3/9ypUruwZPOeWU5cuX+/3+fGUF5BLlul5B1/Ulu4LtMeMkzLpS15lVnrykBABAVzFdv3n/VsPwuEEO5x2VQ/KTEIDj9G40+EjbPkOwUnXc1W+IrTB2RmzYICeffBxjMI/GZpNzz5WLLpJPfUrGjBGH4/BLmi6BeGp/ONkYTOwLJ8Nb3b++w9gifP75smBBT3MAAABA7tHxUNDGjx+/YsWKq666qmvwvffeu+KKK7Se/yUAADJkZzBprtXZFBlfztY6AEBB2Gy5uM5ZcFuvABzNJLe/1DT3sjmVaLCac5sXv/xlBmp1IqJp8tpr8s1vysSJ4vXKsmUiIi3R1B+2dzy1pX3Jzs63D0b2hpO6SNHwmN1h/Pg//iGdnRlIAwAAADlGua7Qqar65JNPXnnllV2Df/nLXx588MF8pQQAXekia1ssFnSMLHExBhMAUCCsF9c5aQEHeg2byDRPsTn+RqQj98mYxePy+99n/thkUhYuFBGpcKsORdGOnI6UtOnTL0wYPhKPy+uvZz4TAAAAZBs3UnsBm832yCOP1NbWdg1+5zvf2bt3b75SAoCP7epMtFm11p1Max0AoGBsjhnLdYrIKMp1QK8y3VtinntZHw12pJJ5yaerd96RtrasnPzXv0oqJf+fvTuPj6o+Fz/+PWf2JTOThSUhBELIAggEV7AQtW5V60r1qt21Ki1V295ftS5166tebet1R6W+bq8vtbe9Vaw1YbG4AYWIC4tAICyyhS2QZJLMJLOe3x/xkuScIRszZ5Z83n+Zb85886TVk5nzfJ/nEUJMdJu13518blC7WFOTkEgAAACQUKTr0oPT6Xz22Wd7rrS3tz/99NPJigcAuihCbGyKUVo3wWWmtA4AkCI6lOiekPqvVb7RnCUbkhIPgKHJNRgnaXrYhhWltjP5zR/Xrk3Uzl6v2LZNCCEmus2yZkifnBvKHa1uwbl+vdi7N1HxAAAAIEF4lpo2rrjiClWB3UsvvRQMxjhJBwC62dsWaupUl9ZJQkzLVQ+9BwAgWbYHOhTNIqV1QDqaY4/RD/MjnzeqaP8r19X27QncvL5eCCGsBqnQoRlVJ4lzvhXjscCSJQmMBwAAAIlAui5tSJJ03XXX9Vzxer0ffvhhksIBACGE+KIpoF0scZtdlNYBAFJGzMF15RZ1jQ6A1Dfd6vQYjKrFo5HQtlj/meupqUmPzUtj9cMcPS0oNFV31dUi2RlMAAAADA6PU9PJnDlzVCsffPBBUiIBACHEvvbw0U71pBBJiGk5lNYBAFKINl0nCTHRxF8rIP3IQpxti1Fgt6qjVf9gegqFErj58a46hU6T3ah+jCM7omWnqt+THzwo1q1LYEgAAACIO9J16WTMmDGqlb00pAeQPBuOxTjFXOwyu8z8cQEApIoOJbpXM7iuwGhxaQp0AKSF2Xa3LKmrydZ3trdG1CkrPTmdCdw8K+urf5CEKHHFKLA76/IY/TCrqxMYEgAAAOKOJ6rpJD8/X7Wyf//+pEQCAPt94aPaqXWSNC3HkpR4AACIqT7gZ3AdkElyDcZJZnUz27Ci1Ha2JSWeLr0HzcfZuHHd/1zmMWs6X4qs4pDJqr7Vvfee6FSfVQAAAEDqIl2XTjo61IUspOsAJMvGYzE+/Y93Gj0Wg/7BAABwIjEH15VZSNcBaWyOPUY/zBU+bzR549qmTk3UzrIsJk/u/jLLJI+yq4uDZaMy8zJ1gZ3PJ5ieAQAAkEZI16WTQ4cOqVYaGhqSEgmAYa7BFzrSEWtqXS5zgAAAqSXm4Dqq64C0Nt3q9Gj62TZGQttipef1UVUlNB0642PaNJGT02ul1B2jH2b5nBj9MGtqEhISAAAAEoF0XTpZs2aNasVm40EDgCTY2BTQLhZlmbIprQMApBJ/NLIvpP6bNcZkccr8wQLSmCzE2bYYBXarOlr1D6ZLfr742tcSsvPcueqV8Vlms0GdGzTnRnLGqjvVr10rDh9OSFQAAACIO9J16eSdd95RreSoTtkBQOId8IUO+2OU1k3PobQOAJBatgc7GVwHZKTZdresKWdb39neGlG/TdXNLbfEf0+zWXz/++pFgySKs0yqRVkWX7tKXWAXjYqlS+MfFQAAABKBdF3aqK2tXblypWoxNzc3KcEAGM5OVFqXY6VSAQCQWrYF/dpF0nVABsg1GCs0/y2HFaW2sy0p8QghbrhBTJgQ5z1/8AMxdmyM9Zj9MEedEpSN6iMK9MMEAABIF6Tr0oPf77/11lu16zNmzNA/GADD2SF/+JCmtE4IMTXHon8wAAD0LebgulLSdUBGqLK7tYsrfN6ooq2q1YPJJJ56Kp4bZmeL3/wm9rfyrMYcTRd6q1MpPUP9Rn3XLrFlSzyjAgAAQIKQrksDbW1t11577RdffKH91tcS1B0fAE5gw7FO7eJYpynPatQ/GAAA+uBXog1hdWu4QgbXAZliutXpMajfgjZGQts0eXrdXH65uOOOuO320kti5MgTfjdmgd2p31Df9IQQ1dVxCwkAAACJQ7ou1VVXV5955pmLFy/WfkuW5XPPPVf3iAAMX42dkYOxSuum5zK1DgCQcuoDfm2RDZ0wgYwhC3G2zaVdX9XRqn8wxz3xhLjwwjjs86tfiWuv7euCErfZoB7eJ7KKwlZXVLW4dKkIxsjiAQAAILVQDDFEb775ZuI2DwaDjY2NW7duXbp06Zdffnmiyy677LKioqLEhQEAKusaYxxVLnQY85haBwBIPduDMSrCSdcBmWS23b3U16xKzK/vbG+NhF2awjt9GI3if/9XXHqpWLNm6Jvcead49NF+rjHLUlGW+cvWXok4s1k59RvB1f/b6yxda6tYvVpw1hcAACDFka4bom9961vJDkHcEccuGwDQn8aO8IFYpXXTKK0DAKSkbUG/akWWJAbXAZkk12CsMNu2BHr9xx5WlNrOtosc2cmKyuMRy5eL224Tr7026NdaLOIPfxA//emALi51q9N1QoiJZwfX/M2iKL0q76qrSdcBAJAqAkr0y2DnvnDAH42EFMUuG0YbzcUma3aSDhshdfBvQLq69tprL7jggmRHAWAY2XAsoF0scBhH2vhTAgBIOTEH1xUYzA4G1wGZpcruVqXrhBArfN4L7B5Z0jSL1IvdLl59VVx+ufjFL0RDw0BfNXu2WLBATJ060Ovz7cYsk9wW6tX90pETHTExcmR7r7foq1aJlhbh8Qx0ZwAAEHcBJfqBr+WfvuYvAr6Qpmm/EGK8yXqO3X2pM2ekMcaEWgwHzK5LSwUFBS+88EKyowAwjBzrjDT4Qtr16TmU1gEAUtG2WIPrKiz2pAQDIHGmW50ezVH0xkhoWzBGF3edXXed2L5dPPdcPxk4g0FcfLFYvFisXDmIXJ0QQhKixKV+nGcwiNMvVR+zC4fFu+8OYmcAABBHUaEsajt6Q0Pd48f2fd7ZHjNXJ4TYHep8xXv42we2/uHYvpZIjAZXyHiURKSfoqKi5cuX5+bmJjsQJIHf7//Wt76l/N89/eGHHz7zzDMT9LNWr179xhtv1NfX79u3b+/eveFweOzYsWPHji0uLr7yyisvvPBCo5EbyDCy/lin9q1EgcM0ys6/BgCAVLQ91pN6BtcBmUcWYpbNtaS9SbX+r47WSSmQobfZxPz5Yv58sXWreP99sXGj2L1beL3CZBIejygrE6edJs4/X4wcOcT9yzyWDZo36iMnhU12JeRX98O87roh/hQAADBkRyOhBxp312maAZxIWFFq2ptW+L335Y07y5aV0NiQanjMmma+/vWvv/LKK4WFhckOBMmxfPnyJUuWHP/ypwOcaTAY7e3tv//971999dUvv/xS9a26urq6ujohxEsvvZSXl3fdddfdf//9+fn5cY8BqaYpENnfHqu0LteifzAAAAyEtrBGlqSJZorCgQw0x+5e5mtWFdSu62xvjYRdKTMDpqJCVFTEf1u7Ucp3GA/4eh3AdziVCWcGt33Y6736li1ixw4xcWL8YwAAACeyNei//8juY5EYT9X61haN3Hvky3nZ+de6RiQiMKQmmmGmB1mWv/a1ry1atOi9994jVzec/eMf/0jo/jU1NZMnT37kkUe0uTqVo0ePLliwYPLkyS+//HJCQ0IqWH80RmndSJtxFFPrAAApya9ED2gG140xMrgOyEy5BmOFpnY2rCi1nW1JiUdnpW51P0xJEtMuUN8DhRA9Tn4CAICEqw92/OzQziHk6rpEhbKg+cDLLQfjG9WgzJgxQ5KkWbNmDfwl2dnZkiRdffXViYtKCLFnzx5JkiRJevzxxxP6g3TGk9Yhmjdvng4/xeFwjB49esyYMeeff/7IIXfHQKbo7OxctGhRgjaPRqPz5s374x//OKhXtbS03HLLLW+++eZbb71ltXJcPTO1BCL7fDH6Zc/I4/9xAECK2hprcF05nTCBzFVld2/R9Jha4fNeYPfIkhTzJRljnNNkNcidkWjPRXd+xJUfaT3Y64zC4sVi/nwhc2wbAIDEOxYJ3Xfky4AS7f/SPr3uPVJgtFzqzIlLVIiLzZs3v/HGG0KIH/zgB+PGjYvjzqTrhuiFF15IdggYdv72t781NzcnYmdFUW655Zb/+q//GtrLly5dOnfu3L///e8mkym+gSEVrDvaqWieeI60GfOZWgcASFX1gRiD68pTYIoVgASZbnV6DMaWSK9DZo2R0LZgRypMsEsoWZJK3KbNTYGei1armHp+8F+v9Tqm0Ngo1q4VM2fqGx8AAMNPVIgHG/ccHWpdncozTQ1TLY6xJkbSpIpNmzY99NBDQohzzz03vuk6TlUB6SESifz+979P0OZ33HFHH7m6vLy8mTNnfu1rXxs1atSJrlm8ePGNN96YmOiQTC2ByN5YpXWVuZTWAQBSV32swXUlJv54ARlLFmKWzaVd/1dHq/7B6K/Upe6HKYQYd1pQNqpP3dXU6BIQAADDW03bsc0BX7x2CyjRZ5ob4rVbor3xxhtLly594IEHkh1IWiJdB6SHZ5555osvvkjEzh999NFzzz2nXbdarfPnz9+9e3djY+OaNWtWrVp16NChgwcP3n333VlZWdrr33jjjb/97W+JiBBJtOFYQFtaN8JmLHBQWgcASFG+aORgRD20qZDBdUCmm2N3a/terutsb43EOHyWYTwWQ55VfYtz5Sijp6gP9b//vmhv1yssAACGpbCivOo9HN89P+1o2xi//F9CnX/++RdffPGMGTOSHUhaIl0HpIE333zzrrvuSsTOiqL88pe/1K4XFhauX7/+ueeeU9Xzjh49+rHHHqurq5s0aZL2Vffcc08oFJ8qb6SClmBkd3uM/0MprQMApLL6YEeswXUZ3g0PQK7BWKEZURlWlNrOtqTEo7NSt7rAzmgU0y5Qn10IBMT77+sVEwAAw9JKv7cxTm0we1rU2hj3PZOotbU1GFS/UQHpOiCltbS0/PznP7/++uvD4YScCf3rX//6ySefqBbHjx+/atWq8vLyE71qzJgxH3300dSpU1XrO3fufPHFF+MfJZJkY6zSulyrgdI6AEAq2xrwaxdLzZw1ATJfld2tXVzh86rf0WaiCS6zSVYXF44sCduyo6rF6mq9YgIAYFha7mtOxLarO1r9UfWfdT21tLTcf//9U6ZMcblcubm5M2fOfOihh9o1Zfv5+fmSJF199dU9F2fMmCFJ0o9//GMhxKJFi6ZNm+Z2uy0WS05OzqxZsx5++GGfL3btYH19/R133FFeXu5wOHJzc2fNmvXUU08FAoGYF/cM9aGHHpo6darD4RgxYsQFF1zQ1RPulVdekSRJkqSeO9hsNkmSfvjDH8bc6p577ul6idfrFUL8/Oc/lyTp+uuv7/ruueeeK0lSdnZ23/EMHOk6IBUdO3bs7bff/u53v1tUVPTUU08lKFcXCoXuvfde7frLL7/c75DMESNGvPrqq0ajOm3zyCOPtLUNi+OrGa81GP2yNcYhl8pcq/oxAAAAqUQ7uE4SolRTcwMg80y3Oj0G9SeUxkhoW6wsfoYxydK4LJNqMcslis9Sv6Vft040pM34GwAA0kxEKOsT07UypChfBJLW0vqLL76YNm3ab3/72y1btrS1tTU1NX388ccPP/xwRUXFoUOHBr7PM888M3fu3OMjn5qbm2trax966KGKioqDBw+qLl6wYMHUqVOfffbZ+vp6v9/f1NRUW1v785///PTTTz9w4MCJfsTnn39+yimnPPzww5s2bfL7/UePHn3vvfeuu+66uXPndnZ2DuF31xMVEkBK2L59++rVq+vr6+vr69etW7dz504dfugHH3zw5ZdfqhZvuOGG888/fyAvnz59+h133PGf//mfPRePHj361ltvfe9734tblEiSDcc6tMeQcyyGQqf6KQAAAKmjLRo5GFY/my4yWe0MrgOGAVmIWTbXkvYm1fqqjtYKS+Z3xC11mXd4e90AJUlUzAnUvWtVepzFVxSxeLG45Ra9wwMAYDjYHwr4o5EEbb4t2HGWzZWgzftw5MiRSy65pKGh4bLLLrvgggvGjBnz+eefv/jiiy0tLQ0NDbfccss777wzkH3Wrl378ssvCyEuueSSCy+8sLCwcMOGDc8995zX692/f/9NN920ZMmS4xf/5S9/mT9/ftc/T5w4saqqasyYMbW1tStWrNi0adMNN9wQ80ccOnTo4osvPnr0qBDijDPOOO+886xW6+rVq997771FixZ9+OGHJ/k/xQMPPPCzn/3snXfeuf3227uCnDlzpizHrSiOdB2QEhYsWPDUU0/p/EMXLVqkXfzNb34z8B1+/etfL1iwQHUwgXRd3IWjij+sRBVFliSHSTJICS9vawtFd7XGmlqXR2kdACClbQ/GOG5SbqG0Dhgu5tjdy3zNqgGW6zrbWyNhl6bwLsOMshvdZoM32OsRoWekklsSOrq915G7d94RP/qRSPynCgAAhp0DmrODcdQQ6qcJZILs2rVLluUXX3zxtttu61q59tprf/jDH55xxhmtra3vvvtuKBQymfo/3//555/LsvzCCy/Mmzfv+D433XRTZWVlW1vbP//5z46ODpvNJoQIBAK/+tWvuq658847n3jiCYPhq/OXH3/88Te/+c09e/bE/BH/8R//0ZWr+/Wvf/3II48cX3/99ddvuummpib1oa7Bys7Ozs7OHjFiRNeXo0eP7rdH3aDQDBMYpqLR6N///nfV4pw5c0pKSga+icfjueKKK1SLy5Yt8/szv9tMooWjSl1zoHpP24ubm5/YcGzB5qYXtzQv2Nz0hw3HXtrSvHhve31LMJKwKRwbj3Vq9/aY5bFMrQMApDZtJ0whRKmJdB0wXOQajBWa5rdhRantHBYd+ye6zaoVu12UzVY/NzxwQGzYoFdMAAAMJ+0JK61L9OZ9u/HGG4/n6rqUlZV95zvfEUIEg8EdO3YMfJ/jubouEyZM6JobF4lEtm7d2rW4YMGCroTct7/97aeeeup4rk4IcdZZZ8UsQRFCHDhwYOHChUKIiy++uGeurmufO++8c4BBJhHpOmCYWrNmzeHDh1WLQ6iK+/73v69a6ejoWLZs2dAjG/YCEWXlQf9zm5re3t22qSmgysopimgORDYe61z0Zevzm5pqD3eEonHO2rWHojtjldbNGGGTOIILAEhtWzUTqiQhJpqtSQkGQFJU2d3axRU+b8KOuqWQUrdZ1rxhHzstZHFGVYs1NTqFBADAsKIq8Y+vpCXrhLjnnnu0i+Xl5V3/EAwOtKbw3nvv1S5OmTJFtc+bb74phDAYDA888ID2+jlz5sycOVO7/uc//7mrCVzMzNz8+fN7pv1SE+k6YJjSltYJIa6++urB7nPRRRfZ7eo5EG+99dYQwxr2drYG/1jX/K9D/s4BlM75w9EPD/hermvZ2x4juzZkG491at9beCyGIkrrAACprS0aORRjcJ2FwXXAsDLd6vRo+l42RkLbNOn8zGM1SIUOdSsqt0fkT1PfG999V/SeaQAAAOIgoR89nPGbkTYoNptt0qRJ2nWLxTKofaxW6/EMX9/71NfXCyGmT59eVlYWc6sbb7xRu9j1KiHEueeeq/3uuHHjJkyYMJh4k4Bnr0IIMXXq1GSHMBRffPFFskNA3FxxxRWFhYV9XNDU1PToo4/G8Sd+9tlnqpWJEyfm5uYOdh+j0Xj66aevWLGi5+Lq1atPKrjh6uMjHR82+AZ7CMcbjPxlh/fCQueMvDiUDvhC0R2xSuum51gorQMApLj6WIPrKizqc0UAMpssxCyba0m7ejbJqo7W4XBDKHWbVYf5zGZRURXcvcYqetwifT6xYoW46CK9wwMAILONNqobU6fL5n0oLi6Oy1PB8ePHywPIOHq93sbGRiFEHzObiouLtYtdPTnz8vK6BuBpFRYWbt++faDhJgPpOiGE2LRpU7JDwHB33nnnnXfeeX1csGfPnvim6+rq6lQrZ5111tC2Ouuss1Tpul27drW2trpcriEGNywt29e+7ugQD7hGFbFsX3trMHJOgeMkw9jYFKu0zmwYn9X/wFgAAJIr9uA6zRQrABlvjt29zNeselu7rrO9NRJ2aQrvMkyh02Q3yv5wr+6XeWOjnsJwy75ev3t1Nek6AADirMhkMUlSKDEtMUuSNJM7Xs94rdYBVRocn99UUFBwomvGjRunXfzyyy+FECNGjDjRq0aNGjWQAJKIZpjAcNTc3Hzo0CHV4smk61QriqJs3LhxaLsNT2uPdAw5V3fcmsMdG4+d1Ca+cHSHN0Zp3bRcSusAAGmgPhhjcF2JicF1wLCTazBWaFL1YUVZ09GWlHj0JAlR4lIfvXe5xNjT1P0wa2vF0aN6hQUAwPBgkeTJlpM9TB+TJMQMqzMRO6easWPHdj2HPHjw4Imu6YzV1NtkMgkhuirzYjp27Nhgg4lEdJ0YSLoOGI60pXVCiIqKiqHtFrPp8M6dO4e22zD0ZWvwgwO+uGy1bJ+vwRce8ss3NQUimuM/LrNcrPnADwBAqmmNhA+G1A+jx5msDK4Dhqcqu1u7uNLvTchZ9xRT5jGrjtrJsig5K2S09Prto1GxZImecQEAMCycF+tNyMmrjDWdNyPZbLb8/HzR5+Pl42Pqeuoqnjt69GjMZJ4QYu/evYMNZvfu3YN9yckgXQcMRzHTdX0Pz+tDzBfu2bNnaLsNN8GosmRfe7xK5COKsmRvW3RIu3WEo/UtAe369FwrhXUAgNQXc3BdGZ0wgeFqeqxHWo2R0LaAugw382SZ5FF29e/uyVFGTlY30njnHb1iAgBg2DjfkZ2II4NXZOXGfc+U1TW1bsOGDV3j6LSWL1+uXTzeAe6jjz7SfvfAgQO7du060U8MhWL0GxNC6NxAjnQdMBxt27ZNuzjkdJ3H43E61bXYOh89SF+fN3a2BqP9XzdgRzsjG5uG0hLzi6ZARPOYM8skT6C0DgCQDmIOrquw2PWPBEAqkIWYZYsxZ2VVR6v+weiv1K1+D+9wiAkz1SXIu3aJWB8NAQDA0Dllw9ysvPjuWWyyVtk98d0zld14441CiHA4/PDDD2u/u3379ldffVW7fs0113T9w9NPP6397rPPPhszJ9fVQjNmcctbb70V8yl64pCuA4ajI0eOqFaysrKysrKGvKE21af9EdCKKuKTxhjPFk/Sx4cHvWdHRKn3qj+9CyGmUVoHAEgT2nSdLESJmcF1wPA1x+6WNQOY13W2t0aG3j0+XYzPMpsNvX53SRIFZWHnKPX8lepqHcMCAGB4+LZ75Ghj3I6/S0LcmTNmWCVybr755uLiYiHEa6+99otf/KLnALktW7ZceumlMUfKnX322eedd54QYsmSJb/5zW96fusvf/nLk08+GfNnTZkyRQjx+eef/+Mf/+i5vn79+jvuuKPvOAOBGI3KTsaw6Hbar/vvvz/ZIaitXLkyZs0mEBdNTU2qla6OwEM2cuTIrVu39lxpbm4+mQ2HiV2tQV8onqV1XZoDkQZfaIzDNPCXbDrWGdb00HSa5BLXIDYBACBZWiPhQ+EYg+us0rD6VAugl1yDscJs29K7+2VYUdZ0tF3szE5WVPowSGK806Q6kOd2i/xpwe3/7NUleOlSceedwsjDIQAA4sciyY+MGH/7oR0BJQ7P/f7NNXK6Vd3YLLOZTKZHH330hhtuEEI8+eST77zzzjnnnFNYWPjZZ5+9//77fr9/+vTpzc3N2ll0//3f/33qqaceO3bsgQceWLx48bnnnmuxWFavXr18+fKcnJxZs2Z9+OGHkiRZLJbjL7niiitqa2uFENdcc83NN99cVVUVCAQ+/vjjV155JRAIWK1W7SS84y9/5plnOjs7Q6HQ3Llz4/KL845MCCFUudbk8nq9d99994oVK/q+TNIcEgQGTpuus9tPqlWUzaYeDNNHum79+vV/+ctfBrhzzLMSGWNXa4yCtrjY2TqIdF3niUrrciza88gAAKSg+lAng+sAaFXZ3Vs0w+pW+r0XObMz/m1umceiepNvsYiSmcGdH1ij4e7fvrlZrF4tqqp0jw8AgIxWarb9Km/sI417tJ9TBmWWzfWj7NHxiSmtXH/99UePHv33f//3YDC4Y8eOnkPsTjnllOrq6gsvvFD7qqKiouXLl19yySWHDh2qra3tysMJITwez6JFi7qaZKqeY991113vv//+8uXLI5HIwoULFy5cePxbeXl5Dz/88Pz581U/5fTTT7dYLIFAoKampqamxuPxkK7LTG+++ebtt99+8ODBvi8rLy/v+e8NMFg+n0+1YrWeVKsobbrO6/We6OLNmzc//vjjQ/5Ze/bsSYV//88888zKysqT3KTBl6g+PA3tseejxrSpqTOkKa1zGOWJmokXAACkpm2ax/FCiDIL6TpguJtudXoMxpbe3S8bI6FtAX/Gz7bMsxpyrIamzl7HH3NGKiNKw4freh3sq46lcsMAACAASURBVK4mXQcAQPyda/e05kSeato/5Izd2TbXAyPGGUTGnzKK7ac//elFF1303HPPLVu2bP/+/UajsaSk5Prrr7/99tu1z6KPq6ys3LJly+9+97s333xz7969ubm5F1988X333VdSUnLvvfcKIXJzc3tebzAYli1b9vrrr//pT3+qr68/cOCAoihCiDPPPPOVV17Zs2eP9kcUFha++eabDz74YF1dncViKS8vj9evLHX9bCRdQ0PD/Pnz33777b4vM5vNd99993333dezYBPDwZ49e8aPH69arK6uvuyyy4aw25QpU7Zs2dJz5dxzz/3ggw+GHN4NN9ygKpgbMWLEicbXvf7669/5zneG/LNShCRJr732Wtfg0yF7YsMxbZ4sLpwm+aen5AzkykBE+dsub1hTmj9rlL3cQ7oOAJAeHmzco2qGKQvx1OiJFsrEgWHv723HlrSrm4ucYcv6kSfzD6pvaQ6sPdJrrmc4LD551/TZ646eiyaTWLJEeDz6BgcAwPDwcUfbfxzd640O7si+JMSN7pE/9Iwetrm6RCguLt69e/f555+/fPnyE13j8/m2b9+ek5NTVFSkZ2xdmOWQfIqiLFiwYPLkyf3m6s4+++zPP//8kUceIVeHkxQKqUuvTrK6Tvty7Y/IMIqiPP/88yezQzCqJChXJ4Twa/NvJ7C5OaC91m6UJrqZWgcASA/eaPiwZnDdeLOVXB0AIcQcu1vb4H1dZ3trJFGNLlLHRLfZ0PtXNxpF4dSw1dXrA0AoJP75T10DAwBg+DjLlvWngvKLnTkD/3BSZrY9O3rijzz55OoG5eOPPy4tLS0tLf3zn/+s/e6aNWt2794thJg1a1YfmzgcjsrKyqTk6gTpuqTbvHnz7Nmz58+f39ra2sdlLpfr+eefX7Vq1ZQpU3SLDRksHFZ/NDWbT6qOymRSp3aCwURNZUsdo0ef1IHcSMJydUKIqCIGsn0wqmxpVo9LFUJMy7UZeMQJAEgT9YEOBtcBOJFcg7FCc0MIK8qajrakxKMnsywVZak/6Hk8Sv509Ye1mhq9YgIAYPjJNhh/lTv2vwsqrsrKc8mGE11mENJMm+u3I4tfzC+bYnGc6DKcSGVl5YEDB3bs2PH000+rHk37fL4HH3xQCCHL8re//e0kBdg/ZtclTSAQePTRRx977LF+sxpXXnnl888/P2bMGH0Cw3Cgbe97ksVw2n+NtQm8DHPaaaf97ne/O5kdTHIC82EGSRrI9pubYpTW2YxyKVPrAADpY1uwQ7tIug7AcXPs7i2aCZcr/d6LnNkZf0Kt1G3+srXXhzWnUxSdHty9yqIo3b/9pk1i926hGb8AAADipshkuTNnzO05BfWBjm1B/75QoC0aCQvFKRtGGcwTzNZpFqddprxq6CwWy1133fXQQw+tXbt2zpw5P/nJTyZOnOjz+bZt27ZgwYKtW7cKIebPn19RUZHsSE+IdF1yrFy58tZbb+36V6QPBQUFzz777DXXXKNPVBg+HA71AY3OzhglVgOnfbn2R8TLFVdc0W/n2LRglCWrQeqMJKTGLsvc/1/3YFSpawlo16fmWAwZ/9wCAJBBtmmewstCTDTbkxIMgBRUaXV6DMaW3t0vGyOhbQF/hSXD7xX5dmOWSW4LdZ/RkyQxojDqGRdu3t3rhOXixeInP9E9PgAAhhlZSBUWe8a/A0mWBx54oKGh4Y9//OPatWvXrl2r+u73v//9J554IimBDRDpOr15vd6777574cKFitLXM3pJkm699dbHH3/c7XbrFhuGDx3SdU6n80QXX3nllTt37hzgzhUVFRk8Bi/XamzwJeS3y7WcsLL+uC3NgaAmWWg1SGWU1gEA0oc3Gj4SUf8xLTbbGFwH4DhZiFk215L2JtX6qo7WjH9YJglR4jKvP9br85rbLQoqg6p0XXW1mDdPcKYfAACkL0mSFi5ceNtttz355JObN2/esWOHJEkFBQVVVVU/+MEPzj777GQH2A/SdbpatGjRT3/604MHD/Z92aRJkxYuXDh79mx9osIwZLerP5SeZLouEFAXafVRXed0OvtI5qlIGf2sbawzUem6oqx+mpGGokpdc8zSOqsxkV06AQCIr20BOmEC6N8cu3uZrzna+9Tsus721kjYZcjwByNlHsuGY509f3ObTRRVhuvfVUL+7nf+R46ITz8VZ56pf4AAAADxdNppp7322mvJjmIoODelk4aGhquuumru3Ll95+rMZvODDz64fv16cnVIKG0uraMjxqOugdO+fOAJueGs1G1J2M79VMjVNQcCMUvrPJTWAQDSyXYG1wEYgFyDsUJzZwgrypqOtqTEoye7Ucp3qFOS7mxl9CnqAeTV1XrFBAAAAA3SdQmnKMqCBQsmT57c77St2bNnr1+//qGHHjKbeVyOxNKm6xobG09mwyNHjqhWSNcNxBiHMc/af9fKwSp0mHL6bIYZiipbmtUfzoUQp+RYTZTWAQDSyjZNus4gpBKzNSnBAEhlc+wxJk2s9HsTMko6xWgP83k8YswM9SeCDz4QfvUwUAAAAOiEdF1ibd68efbs2fPnz29tbe3jMrfb/cILL6xYsWLSpEm6xYbhrLCwULVy7Nixk+mH2dDQoFrJy8sb8m7DysxR8Z+WMWt0PyUFdc2BzkhUtWgxSBWeRFX7AQCQCN5o+HBY/bh5nMlikfiYA0Ct0ur0aPpeNkZC2wKZn6Ea5zRZDb1ujEajGDk+4sqP9Fzs6BDvv69vZAAAAPg/fI5NlEAg8OCDD5566qmrV6/u+8prrrmmrq5u3rx5mT2jCymlrKxMu6hNuQ2Qz+fTJqTLy8uHtttwMyXHkm+P57SM4ixTiauvCt1wVKlriVFaNyXbYuRvAgAgrWyNNbiu3EInTAAxyELMsrm066s6+jpcmxlkSZrgUg+3drtFQSX9MAEAAFIFj2YTYuXKlZWVlY888kgwGOOZ+HFjxox566233nzzzfz8fN1iA0S803UxX0i6boAkIb45LstiiE+23m6Uv1GU1fc1W1sCHWF1aZ2Z0joAQBqqjzW4rtwc/8p1AJlhjt0ta47Jrutsb42EkxKPnso0/TCzskTBtKBs7NUN9LPPxIEDOoYFAACA/0O6Ls68Xu+8efPOOeecrVu39nGZLMs/+clPtmzZctVVV+kWG3BcaWmpdnHHjh1D223Xrl3aRdJ1A5drNVw1Puvky2tlSVxVnOU293Vjjyhic6ypdVOyLeY4pQwBANBNfVDdws4gpAkMrgNwArkGY4VZXYAbVpQ1HW1JiUdPHotBNTZbloUnTxk5KdRzUVHE0qX6RgYAAAAhBOm6+Fq0aNGkSZNeeuklRelrWPWUKVNWrVr1/PPPu1wxGnEAOsjJycnNzVUtfvrpp0PbTftCWZZjZgRxIsUu88VjnfJJ5MsMkvTNcVlFTnWLG5XYpXWyNInSOgBAummJhI+EQ6rF8WYG1wHoyxy7W7u40u/t6zN8pijVFNidqB9mn480AAAAkBB8lI2PhoaGq666au7cuQcPHuzjMovF8sgjj6xbt27WrFm6xQbENGXKFNXK2rVrh7aV9oXFxcVWKwfbB6cy13pdids6pBI3h1G+sdQ1ObuflFtEEZubAtr1yTmU1gEA0s9WTWmdoBMmgP5UWp0eg3p0dGMktC0Q45aSYSa4zMbeJwQdDjFqYtiW3es839694osv9I0MAAAApOtOnqIoCxYsmDx58ttvv933lVVVVRs2bPj1r39tMvVT/gLo4KKLLlKtbNy4sbOzcwhbffLJJ6qVCy+8cIhhDW/js0zfL/eMyxrcLWKi2/yDCs8YR/+vqm8J+DWldSZZ6jfPBwBACoo9uM5Cug5AX2QhZtli9LlZ1dGqfzA6M8nSeM1nDVesAruaGr1iAgAAwP9RnynDoGzZsuWWW25ZvXp135d5PJ7f/e53P/rRj6STH04FxMkll1xy//3391wJhULvvffeZZddNqh9Nm3adOjQIdXiYDcZlB07djz++ON9X+NwOK6//vq8vLzEhZEg2RbDDRPdO1uDtYc79rWrG3z1JAkxLss0a7R9XH8NMLtEFGVTc4zSuknZFvPJdOEEACBJ6gPqdJ1RkopNnEEB0I85dvcyX3O0d8PHdZ3trZGwS1N4l2FKXeYd3l7JObdbFEwP7PrIqvQ417dsmfjFL4SFGyoAAICOMvydaOIEAoFHH330scceCwbVx9BUrr322meeeWb06NH6BAYM0IwZM0aNGnX48OGei6+99tpgM22vvvqqasVqtX79618/2fhObMuWLb/61a/6veyJJ5744osvnE5n4iJJnBKXucRlbglEdrYG9/nCTZ0RXygaURSDLDmNcq7VMNZpKnGZXeZBVEjXtwR9IXVpnVGWJmerJ1gAAJD6WqLhxoj6XEuxycrgOgD9yjUYy822ut7dL8OKsqaj7WJndrKi0scou9FtNniDkeMrZrNwj1ByS0JHt3efAmxvFytXigsuSEaIAAAAwxXpuqFYuXLlrbfeunXr1r4vGzt27PPPP3/55ZfrExUwKJIkfeMb33jllVd6Lr799tttbW1ZWVkD3CQajb7++uuqxfPOO89uT34fqt27d3/wwQdp/R+gx2I4bYTttBFx2CqqiM0xS+s8FquBx5oAgPSzTVNaJ4QoM9v0jwRAOqqyu+s0w+pW+r0XObMzvu/ERLf5s8Zet1C3WxRUBnum64QQNTWk6wAAAHTFU9rB8Xq98+bNO+ecc/rO1cmyfPvtt2/evDmtUwXIeN/5zndUKx0dHS+88MLAd3jjjTcaGhpUizfccMPJRhYPkiQVFxcnO4pUsaM12E5pHQAgg2zVPGcXQpSSrgMwMJVWp0fT97IxEtoW696SYUrd6l74LpcYURayOHt9Xli9Whw7pmtgAAAAwxzpukFYtGjRpEmTXnrpJaV3j3uVqVOnrl69+plnnhl4iRKQFBdccMGZZ56pWvzNb35z4MCBgby8vb39F7/4hWqxpKTkxhtvjE98J2AymbL7M3bs2GefffaUU05JaCTpIqqIjcc6tesVHovNyF8BAEBaqg/GGFxXQroOwMDIQsyyubTrK/1e/YPRmdUgjXH0SlUaDMLlFqOn9pr0EYmIZcv0jQwAAGB440HtgDQ0NFx11VVz5849ePBgH5dZrdbf/va3n3322VlnnaVbbMDJuO+++1Qr7e3tt99+e9856S733HOPtrTuvvvuMxgMcYsvlksuuaSpP3v37p0/f35Cw0gjMUvrDJKYQmkdACA9NUfCRzWD6yaYrGYp45vYAYibOXa3rLlprA/4WiPhpMSjpzK3VbXS1Q9T9P7fo7pav5AAAABAuq4fiqIsWLBg8uTJb7/9dt9XnnfeeRs3brz33ntNJlPfVwKp4/LLL582bZpqcdGiRTfffHM0qk7w9HTXXXc999xzqsXx48d/97vfjXOI0FAU0RSI7PAGtzQHNjcF6r3BIx3hcDR2hlURYlNTjKl15ZTWAQDS1jZNaZ0QosxCaR2AQcg1GMs1JblhRVnT0ZaUePRU6DTae38WcDiEa1TUU9grVVlfL+rr9Y0MAABgGFP3akdPW7ZsueWWW1avXt33ZdnZ2X/4wx9uuukmfaIC4kiSpIULF1ZVVQWDvTqf/OlPfzpy5Mjjjz8+ZcoU1Uvq6uoeeOCBN954Q7Uuy/KLL75oNHJXSZSoIuq9gS3NgT1toUBEnZwzSFKhw1iRbZmcbbEYuo/F7vQGW4MRzcXilBxLwiMGACAx6oMxhkuVme36RwIgrVXZ3XWaYXUr/d6LnNmZXasrCVHiMn/R1N0wX5KEyyUKKoMt+3p9oKupEWVluscHAAAwLPFgPbZAIPDoo48+9thjqhyG1r/9278988wzI0eO1CcwIO7OOuusp59++sc//rFqvaamZvHixZdeeumMGTMmTpwYDod37dr1+eefL1u2LGarzEcfffTiiy/WJeRhRxFiw7HO1Yf8rcETljxGFGVPe2hPe+jDA77TR9hmjrKZZEkRsafWlXksdkrrAABpa6vm8bpJkiaY1L3dAKBvlVanWzZ6o71KyhojoW0Bf4Ulw08AlLpNm5o6e36uc7vFyMmh+neVcKA7Wblkibj9dsGZTAAAAB3wniuGlStX3nrrrVu3bu37sqKiohdeeOHSSy/VJyogcebNm7d27do//elPqnVFUWpqampqavrd4dprr7377rsTE91w5wtF39rdtr9dPaHnRAIR5V+H/JuaAlcXZ42yGwscptaWXs0wDZI0NYcHmgCAdNUUCR/TTJYab7KaGFwHYJBkIWbZs5a2N6vWV/q9GZ+uc5kNo+zGQ/7u26nVKhxZysjJoQPrukdcNzWJ2loxe3YyQgQAABhmqK7oxev1zps375xzzuk7VyfL8s9+9rPNmzeTq0PGePHFF++4446hvfbmm29+5ZVX4hsPuhzuCL9S3zLwXN1x3mDk9e3ebS2BmaNs03N7JedK3Wa7kQeaAIB0pS2tE0Jk/IN1AAlSZffImmT/+oCvVXMsIPOUus2qFbdbFFSqOwwN4PQmAAAA4oB0XbdFixZNmjTppZdeitno77jp06fX1tY++eSTTqdTt9iARDObzU8//fQbb7zhdrsH/iqn0/naa6+9/PLLNpt6SDtO3n5f6LV6bx8NMPsWiip//7Jt/dHOGXnWEtdXH8VlptYBANLc9lCHdrHMzFsRAEORazCWa24gYUVZ09GWlHj0ND7LbDb0SlW6XMJTGHaO6jX6+qOPRGurvpEBAAAMS6TrhBCioaHh6quvnjt37sGDB/u4zGazPfbYY59++ukZZ5yhW2xAl3Hjxikal112WXx/yty5czdu3Pj//t//63ccY25u7p133rlhw4Zvf/vb8Y0BXVoCkTd2toaifZ0eGIhl+9t3tQZnjbK5zQYhxESX2Wnizg8ASGP1QXW6ziRJxQyuAzBUVfYYBxZX+r0n+0Y85RkkMd5p6rliNAqHQ+RP7VVgFwyK5cv1jQwAAGBYYnadEEJMnjy5tb/TYueff/5LL71UUlKiT0hAshQVFf3+979/9NFHq6urly5dunfv3n379u3fvz8SiYwdO3bs2LFFRUUXXnjhVVddZTare6cgXhRF/GNPW2ckDo8IFEVU72n/0STPrFG2d/e3T8vlaSYAII01RcJHw+oe0cUMrgNwEiqtTrds9EZ7db9sjIS2BfwZ32i3zGOp9/ZKzrndIn96cOeH1mi4+75aXS2uuUb34AAAAIYZ0nVCCNFvrs7j8eTl5d1///36xDNA//M//5PsEJCxTCbT1VdfffXVVyc7kGFq3dHOA764Tcvwh6MfNPgvG+c8Y4SN0joAQFqrizW4rjzTn6cDSChZiFn2rKXtzar1lX5vxqfr8qyGHKuhqbO7+2VWlrA6lRGl4cN13YV3GzeKPXvEuHHJCBEAAGDYIF03IC0tLX/961+THYUa6TogI4Wjyr8Ox3gWeTI2NXfOGm0r81AQCQBIb9s1nTCFENq5UwAwKFV2z7u+lmjvMfbrA77WSNhlyPDHJhNd5rWd3bdWSRIulyioDPZM1wkhFi8WP/6x7sEBAAAMJ5RZAEBq2doS9IWi8d1TUcSnRzoMNAoDAKQ57eA6o5CKzbR6BnBScg1GbeI/rChrOtqSEo+eSlxm1ccEt1vklIStrl4fSRYvFtE4f0YBAABAL6TrACC1bGrqTMS2dS2BaBxm4QEAkDRHI6FjEfXguhKz1Sg4jwLgZFXZ3drFlX5vxr+DthikImevQjqbTZjNSv70XjPtDh4U69bpGxkAAMAwQ7oOAFJIOKrsj9/Uup46wsrhjoTsDACAPrSldUKIMnOGT5YCoI9Kq9Mtq/teNkZCMe88GabUre6Z73aL/OlBSeqVrKyu1jEmAACA4SfDm7ADyDwbNmy47bbb+r6moKDge9/7XnFxsT4hxVFjZyScsCK4g75wvp3bPgAgXW0LxJjtWmZhcB2AOJCFmGXPWtrerFpf4WvJ+AGZ+XaD0yS392jI73YLe3bUMy7cvLu78G75cvHLXwo7ZyQAAAASg+e2ANLMnj17Fi5c2O9lCxYs2Lp1a3Z2tg4hxVFzIJK4zZsSuTkAAIm2PajuF20U0gQG1wGIkyq7511fS1TpdXhufcDXGgm7DJn88ESSpIku8/pj3fdYk0nYbKKgMtgzXdfRIT78UFx6aTJCBAAAGAYy+R3nwH3rW99KdggA4uzIkSMrVqy48sorkx3I4HRGEjgdozPCdHgAQLpqjDW4bqLFxuA6APGSazCWm211vQt5w4qypqPtYmeanQIcrDKPZcOxzp4fRdxuMbIiXG9XQv7u22x1Nek6AACARCFdJ4QQf/vb35IdAoA4MxgMkyZNSnYUg6Y6zBvvzRO3NwAAiVUfiDm4LsM71AHQWZXdXafpu7vS773ImZ3ZRwPsRinfYTzQY4q2yyUOm5XRU0L7PumebPfpp+LwYTFqVDJCBAAAyHSk6wCkGbvdPnr06L6vcblcd999d1lZmT4hxZFZTuBzALMhsx8yAAAy2bZgrMF1pOsAxFWl1emWjd5ouOdiYyRUH+zI+Al2pW5zz3SdLIusLFEwI9AzXReNisWLxQ9/mIz4AAAAMh3pOgBp5oILLnj77beTHUWiuMyGxG3uTuTmAAAk1PagurrOJEnjTQyuAxBPshCz7FlL25tV6yt8LRmfrhvnNFkNcs/++W638I6MZI2OtB3q/hzxzjuk6wAAABJCTnYAAIBuI20JzKiNsJKuAwCkpSPhUFMkrFqcaLaZJArHAcRZld0ja+4t6wO+Vs1dKMPIkjTBZeq54nAIk0kUVAZ7Lu7dKzZv1jcyAACA4YF0HQCkELtRzktMUk2WxFinqf/rAABIPfV0wgSgl1yDUVtIF1aU2o62pMSjpzK3WbXicon8qUHZ2GsIdk2NjjEBAAAMG6TrACC1VGRbErFtcZbZwuw6AEB6qtd0whSk6wAkTJXdrV1c4fcq2tXM4rEYVGcHPR5hsCgjJ4V6Li5dKoJBAQAAgPgiXQcAqWVajlVOQFqtMo/pPgCAdKVN15klaRyD6wAkRqXV6ZaNqsXGSCjm0YEMU+bpdXbQbBY2m7ofZmurWLVK37AAAACGAdJ1AJBaXGZ5ak6cnz+OshlLNZ1tAABIC4fDwWbNyKgJJiuD6wAkiCzELHuWdn2Fr0X/YHRWnGUy9j486HaL7KKwLTvac7G6Wt+wAAAAhgHSdQCQcqoK7Na4Nq68sNARx90AANBTzHKWCgt/2gAk0By7W9acCVgf8LVqTg9kGJMsjc/qNfHa5RKSrC6w+9e/RFOTvpEBAABkOtJ1AJByHEb58vFZ8aoZmDnKVug09X8dAAApicF1APSXZzCVa+4zYUWp7WhLSjx6KnX1asthMAinUxRMD0g9HiBFIuLdd/UODAAAILORrgOAVFTiMp9XEIe6gRKXuSqf+gMAQBrbHntwnSXmxQAQL1V2t3Zxhd+r6B+KvkbZjW6zoeeK2y3MTiW3JNRzkX6YAAAA8UW6DgBS1JkjbbPz7SezQ7nHfFVxlsxkHwBA2joSCWkH100024wMrgOQYJVWp1s2qhYbI6GYJb8ZZmLvuddOpzAa1f0wt24VO3boGxYAAEBGI10HAKlr9mj7VcVZpiEl3GaPtl9d7BraawEASBFbA37tYimdMAEknizELHuWdn2Fr0X/YHRW6jb3/BghScLlEnmlIbOzV23h4sV6BwYAAJDBSNcBQEqr8Fh+WOFRzXvvW57VcEOp+yQr8wAASAUxq1gqLPyNA6CHOXa3rKnlXR/wtWqqfjOM1SCNcfSqLHS7hSSL0af0KrCrrhaRiL6RAQAAZC7SdQCQ6nIshusnum8sdZd7LIY+e38VOU1Xjs+6eVL2OOcg0nsAAKSsmIPriowMrgOghzyDqVxTzhtWlNqOtqTEo6cyt7Xnl1arsFhEwYyA6PFxpKlJfPyx3oEBAABkKnUfdgBAaipymoqcpmBE2dseOtQRbg5EOsNKVAirQXKb5ZE24zinyWHiEAYAIHMcDodaNCUspWY7g+sA6GaO3V2n6cq7wu+90Jmd2XeiQqfRbpT94ejxFbdbBAJRT2G4ZV/3o6SaGnH22cmIDwAAIOOQrgOAdGI2SBPdZtXsdwAAMlJ9MObgOqt2EQASpNLqcMtGb7TX0YHGSKg+2KEtvMskkhAlLtMXTYHjK263aGwUBZXBnum6Dz4QbW0iK8aMPwAAAAwOdRgAAAAAUtFWTUWLEKLczOA6APoxCGmWPUYyaoWvRf9gdFbqsfSsIDQahcMhRk4OGS3K8cVgULz3nv6hAQAAZCCq6wCkGb/fv2vXrr6vcblceXl5+sQDAAASZEeoU7VileVxZgbXAdDVHLv7XV9LVFF6Lq4P+FojYZchkx+quEzySLvxsL+7stDtFu3tysjJoQPrurt91NSIq65KRnwAAACZJZPfWQLISMuXLy8pKen7GkmSbrvttgULFkjMtgEAID0dCge1g+smmmwGwR93ALrKM5jKzTbVBLuwotR2tF3kzE5WVPoodZl7puuysoTBIAoqgz3TdevXi/37RWFhMuIDAADIIDTDBJCBFEV58cUX16xZk+xAAADAEG0LdmgXSzN6UhSAlDXH7tYurvB7Fe1qZil2mc2G7kMSkiSysoR7TNg5KnJ8UVHE4sXJCA4AACCzkK4DkLHa29uTHQIAABii7bHSdeUW0nUAkqDS6nDL6u5EjZFQfaw7VSYxSGK809Rzxe0WQoj8qcGei9XVQsn41CUAAECCka4DkJlmz5593nnnJTsKAAAwFIoQ23r3nRNCWGW5yMTgOgBJYBDSLHuWdn2Fr0X/YHRW5ul147Xbhdks8qcHZWN3gu7AAbF+ve6RAQAAZBZm1wFIM6effvpdd93VxwWyLI8aNWrmzJlGI7c4AADS0qFwsDUaUS2WmKwMrgOQLHPs7nd9snwnyQAAIABJREFULdHeRWTrA77WSNhlyOTPHXlWQ47V0NTZfU92u0UwqOSVho/UdRfeVVeLGTOSER8AAECmyOT3lAAyUkFBwbXXXpvsKAAAQAJpS+uEEBUWu/6RAECXPIOp3Gyr6313CitKbUfbRc7sZEWlj4ku89rO7rafbrdobBQFlYGe6brly8Uvfyms1mTEBwAAkBFohgkAAAAgtWwPdWoXy8wMrgOQTHPsbu3iCr8346e2lbjMBqm7uNlkEna7yC2JWF3R44s+n/jwwyTEBgAAkDFI1wEAAABIITEH11kkqchE1QaAZKq0OtyyukdRYyRUH+yIeX3GsBikIqep54rbLYRQ8qcHey7W1OgaFQAAQIYhXQcAAAAghRwKB9s0g+tKzXY+ugBILoOQZtmztOsrfC36B6OzUre555cul5BlkT89KEndtYUffyyOHNE9MgAAgEzBZ14AAAAAKWRrrMF1dMIEkArm2N1yj7aQXdYHfK2RcFLi0U2+3eA0dT9BkmXhdAqbJ+oZ1/2LR6Ni6dJkBAcAAJARSNcBAAAASCHbY7WVq7DY9Y8EAFTyDKYyTWPesKLUdrQlJR7dSJI0sXeBndsthBAFlb36YVZX6xkUAABARiFdBwCZTFFESyByyB/e1x465A/7w9H+XwMAQPIoQminQFkkaazJkpR4AEClyuHRLq7wexXtamYpdZt71hU6ncJkEiMrQiZb96++a5eoq9M/NAAAgEygHpIMAMgA3mB0S3PnztbQQV84ovR6dGA3ymOdpjK3ucxjNsnqTj4AACTXwViD68oYXAcgZVRaHW7Z6I326n7ZGAnVBzvKM7ptr8Mo5zuMB3zdv7jLJY6FxOhTQvs+6S68q64WkyYlIz4AAIA0x8deAMgoxzojf9/d9uLmpo8O+Pe3h1S5OiGEPxzd1hJ4Z0/b85ua/nXIH4pm/DlgAEA60ZbWCQbXAUglBiHNsmdp11f6vfoHo7PSWP0wx8wI9FxculSEQnoGBQAAkCFI1wFA5lhzuOO/tjZvbQ4MJAXXGVFWHvS/XNe8v53P0wCAVLE14NculllI1wFIIXPsbllSt6lY19neGgnHvD5jjHOarIbu50gWi7BahWNkJGt0d1W01ytWr05GcAAAAGmOdB0AZIJwVHl7d9tHB3yRQRbLeYPR/9nh3XisMzFxAQAwCIoQO0PqP0k2SR5nsiYlHgCIKc9gKtPcl8KKUtvRlpR4dCNL0gSXqedKV4FdQWWw52J1tZ5BAQAAZAjSdQCQ9sJR5X92eOuaA/1fGktEEYv3tq85HKP5GAAAejoQDmhrU0otNkatAkg1VQ6PdnGF35vxjebLNP0wJUnkTw3Kxu5ffdUq0dKie2QAAABpjnQdAKS9mr3tDb6Tbbzz0QHftpYhJvwAAIgLBtcBSBeVVodbNqoWGyOhmPexTOKxGPKshuNfGgzC6RQGizKyorvBfigk3n03GcEBAACkM9J1AJDe1hzuGHJdnUr1nvajnZH+rwMAIDHqA6TrAKQHg5Bm2rK06yv9Xv2D0VmZx9Lzy6/6Yc6gHyYAAMBJIV0HAGmsKRBZddAfr91CUWXp3vZ47QYAwKAosarrbJJcxOA6ACmpyuGWJXWz3nWd7dqmvhmmOMtklLt/cadTGAwiuyhsy44eX9yyRezcmYzgAAAA0hbpOgBIY6sO+iNKPAdk7PeFtnuD/V8HAEC8NYQC7VF1kXeZxc7gOgCpKc9gKtOcJwgrSm1HW1Li0Y1JlsY5Tce/lCThcgkhiYLKXp8jlizRPTIAAIB0RroOANJVWyhal4Bpc2uPZPi8DQBAamJwHYC0U+XwaBdX+L3xPE+Xkkrd5p5fftUPc3pQ6vGQafFiEY0KAAAADBDpOgBIV5ubAnGtrPvKvvaQN8gEOwCA3kjXAUg7lVaHWzaqFhsjoZg3tEwy2m50mw3Hv7TZhMUizM5obkno+OKRI+KTT5IRHAAAQHoiXQcA6erL1kR1rfyyNdT/RQAAxI8ixHbN0227bBhrsiQlHgAYCIOQZtqytOsr/V79g9HZRLep55dfFdj17odZU6NnRAAAAOlNfQoMAFLcnj17Fi5c2Pc1+fn5F154odWqniSRYQ74EzXEvsEXrsxL0N4AAMSwP9bgulKzlcF1AFJclcP9T39LtHfXi3Wd7a2RsMuQyY9cSt2WdUc7o//3e7vdorFR5JWGzE4l2P7Vzfu998RddwmnM2lBAgAApJFMfu8IICNt2LDhtttu6/eyU089dfXq1RZLxh7Jbw1GQ9FEDcVoCtAMEwCgq5iN48rNdv0jAYBByTOYykzWrb1vYmFFqe1ou8iZnayodGA1SGMcxn3tX50gNBqF3S58PjH6lODe2q8+hQUC4v33xRVXJC9KAACA9EEzTACZ6fPPP3///feTHUUCdUQSOLe9I8xQeACArhhcByB9VTk82sUVfm+iztaljDJ3r3YmX/XDnBEQPSqjq6v1jQkAACBtka4DkLFyc3OTHUICJayyTgghIkrGP1sAAKSQqKLEGFwnyWOM5qTEAwCDUml1uGV176LGSEh7Z8swhU6j3dj9WCkrS8iycORGPYXdvTrWrRMNDckIDgAAIN2QrgOQgUwm01133XXmmWcmO5AEMskJnOaT0M0BAFA5EAn6NIPryix2WeLvEYA0YBDSTFuWdn2F36t/MHqShChxmY5/KcvC5RJCiPzKwPFFRRFLlugfGgAAQPphdh2ANHPJJZe8/vrrfV9jtVpttgxvn5VlSuB5C5fZkLjNAQBQ2RrwaxdLzVbtIgCkpiqH+5/+lmjvHhXrOttbI2GXIZMfvJR6LJuaAsd/bbdbtLSIUZND299VwoGvjlzU1IibbxYcwAAAAOhbJr9rBJCRTCZTdnYmz2wfIItByjLJbaGEDJnLs5KuAwDoJ+bgunKzXf9IAGBo8gymMpN1a++7WVhRajvaLnJm8ocXl0keaTce9oe7vrTbhckkhFBGTg4dWPdVQ+N9+8TGjWL69KQFCQAAkBZohgkA6arIaer/ohTbGQAAlaii7Ah2qhYZXAcg7VQ5PNrFFX5vxg+FLnX1ul273UIIUVAZ7LlYU6NnRAAAAGmJdB0ApKsyT0KeY1oM0vgs0nUAAJ00hGMMritncB2AdFNpdbhldQejxkhoe6wC4kxS7DKbDd137K50nXtM2DGiuxHIu++KQED7UgAAAHQjXQcA6Wqi2+xIwAS7ydkWo8wTUgCATrbFepBdas7wGbQAMo9BSDNtWdr1FX6v/sHoySCJ4qzuc4Rms+gaI14wvTtB194uPvpI/9AAAADSCek6AEhXBkk6c2Scn2YaJHHWKJ6QAgD0sy3g1y6Wk64DkIaqHG5tZfC6zvY2TQ1xhil192r74fEIIUT+9KBs7G4FSj9MAACAvpGuA4A0dvoIa47FEMcNzxhp85jjuSEAAH2IKsrOUIzBdQUMrgOQhvIMpjKTVbUYVpTajtakxKObPKshx9r9IcLlErIsTDYlrzR8fLG2Vhw9mozgAAAA0gTpOgBIYwZJumJ8lilOvSvz7cbZo+1x2QoAgIHYH2twXQWD6wCkrSqHR7v4kc+raFczy0RX9zELWRZOpxBCFFR298OMRMTSpfrHBQAAkDZI1wFAehttN35znPPk93GY5GsmuJhaBwDQ07ZgjE6YZRY6YQJIV5VWh1s2qhYbI6HtseZ0ZpISl9nQ46SF2y2EELklEasrenzxH//QPy4AAIC0QboOANJeucdyQaHjZOoQnCb5uhJXlok/CgAAXW0PqjthCiHKGFwHIG0ZhDTTlqVdX+H36h+MniwGqchpOv6lwyGMRiGEkj8teHxx1y5RX5+E2AAAANICT2YBIBOcPsJ27QSXxTCUlF2Bw/iDcs8om/oUMAAACaUIoS03cciGfAOD6wCksSqHW9vRd11ne5um92+GKXV3370lSbhcQgiRXxn8/+zdd3xceX3v/8/39OmjYlmS7XWVbMx67WWB0HaBBLIJ+bHhkksIkJtGAoEktJDkEcjvFwi5XJJ7AwmkUHJvSCGF3JCwkcv2xZRdYPuyXtlyb7J6nXbOnHN+f0iWbM24SJ4ijV7Pv+TvjM58vPZK1nnP5/NRan4UaE9P7esCAABYGYjrAKBBbElav7A9vSlhXvupF+lKvXxt9O3bUnH66gAANXfKy2dLbl53WxEW1wFY0Vp1s9t0FhwWw/DR3GRd6qmZjqh+6Y8V6bSISCQdpDfOf6k/cECKxdqXBgAAsAJwfxYAGkeTrf/MttTPbEttSVpXv9Xp6Oq2Nc67dza9ujPKvjoAQF0cKZTZ5LTDjta+EgCorDti6dLDg5mJsPS0gSiltl3SYGfb4jgiIutunZ+HOToq3/lO7UsDAABYARh9BgCNZlPC3JQwM15wYso7l/FG837OD90gdHSVMLVWR98QN2+Km6R0AID66vPKxHUsrgPQAPY4sZRmTASX9ZEN+l6fm2vsr3JdKevp4fxcKplKST4va7a7ZiTi5WZ/+ti7V+64o14FAgAALF/EdQDQmGKmdnOzfXOzXe9CAAAoIxQ56uYXHCY0vcNgcR2AFU8X9bJI4p7M2ILzg9mJxo7rYobWETXOZ2dzymRSBgdFM6T9Zu/M92e/vB88KBMTkkrVr0oAAIBliWGYAAAAAGrttFcoXVzXZUVo/QbQGO6IpUo3cT6Zn54q+dLXYLoumYdpGBKLiYisu7Uwd+h5ct99ta8LAABguSOuAwAAAFBrvYVs6WFjN50AWFVadbPbdBYcFsPw0dxkXeqpmY0J09Hnc8qZLrpYm59on88p9+6tfV0AAADLHXEdAAAAgFo74pZZXLfDjta+EgCoktujZQY+HsxMhKWnDURTaktyvsEukRBdFxHp3OPOHT77rJw8WfPKAAAAljfiOgAAAAA1FYocK4nrEprezuI6AA3k1kg8pRkLDgd9r6/c+xUaSfcl8zCVkmRSRKRjl6sZ80nlvn21rwsAAGBZI64DAAAAUFOnvHwuDBYcdrO4DkBj0UW9LJIoPT+Ynah9MbWUtvVWR5/75cw8TN0O23Z4c4c9PRIs/D4AAACwqhHXAQAAAKipspMwWVwHoPHcEUtpauFbEZ7MT08FftnnN4zutD33cSQiti0i0nnr/DzMwUF5/PHa1wUAALB8EdcBAAAAqKneQrb0sNticR2ARtOqm92ms+CwGIaP5ibrUk/NbE6YhjafU87Mw2y6qRhpmm+p6+mpfV0AAADLF3EdAAAAgNoJRI65+QWHSd3oMFlcB6AB3R5NlR4ezEyEpacNxNTUxrg598tUSpQSUdK5uzB3+OCDki3z5g0AAIBVirgOAAAAQO2c8vL5ksV121lcB6BB7XHiCU1fcDjoe33lxgI3kq7U/JswTFOiURGRzj2eungjKpeThx6qR2UAAADLklHvAgBgcTzPGxsbq+AF4/G4aZrXfh4AAKiEsovrulhcB6BBGUq9IpK8J7PwR5iD2YnG3tnZHjVSlj7hzm7pS6UkkxErHrRs9Yb7Zn/+6umRn/iJ+pUIAACwnBDXAVhh9u/f39zcXMELJhKJz3/+829/+9sreE0AAHAlRwpl4rrGvmcNYJW7I5a6LzsehJfNv3wyPz0V+KWNd41kW8p8fGg2rkskRNMkCKRzjzsX1z32mJw/L52d9SsRAABg2WAYJoDVbmpq6t3vfnehULj2UwEAwI0JRPrchauKkrrRbrC4DkDDatXN7SVvSiiG4aO5ybrUUzPbUrZ2cdKxpkkiISLS2uVZ8dnkMgzlwIE6FQcAALDMENcBgGSzWeI6AABq4KSbL1zeXyIi3abD4joAje1VkWTp4TezEwu/IDaWiK7Wxeb3DqRSIiJKk/ab3bnDnh4p+bYAAACwGhHXAYC85z3vSSbL/PwMAAAqq+ziuu12tPaVAEAt7XHipXMvB4peX7mvio2kKzXfPB2LyczS8M5bC3LxbRqnT8sPflCPygAAAJYZdtcBWGFe/OIX//Zv/3YFL9jR0fGqV72qghcEAABXUj6us4jrADQ4Q6lXRJL3ZMYWnB/MTjT28s4NcTNqaNliMPPLVEqGhyXWEqTX++NnZvPLvXtl1676lQgAALA8ENcBWGE6Ozvf8pa31LsKAACwaIHI0ZLFdSnNWGuYZZ8PAI3kjljqvux4cPnkxyfz01OBX9p41zCUyNak+ezo7OqBmbhORDr2FMbPzL5X49575UMfEosdpgAAYHVjGCYAAACAWjjh5sosrrMbua0EAOa06ub2kka6Yhg+mpusSz0105W25xaUWpZEIiIia3d6xsV8bnJSvvnNupQGAACwjBDXAQAAAKiFw+UnYRLXAVgtXhUpszD7m9mJhW9kaCxJU2uLzs92SqVERHQzbNvpzh3u3Vv7ugAAAJYX4joAAAAAtdBXNq6zWVwHYLXY48RL514OFL2yXx4bSVdyftJlMilKiYh07pmP6779bRkZqX1dAAAAywhxHQAAAICq8yU85uYXHKY0o01ncR2A1cJQ6hVXaLCrfTG1tDlpWfrsRExdl3hcRCS1vhhbE8wc+r7cc0+9qgMAAFgWiOsAAAAAVN0pr1AIgwWH21lcB2CVuSOW0pRacPhEfnoq8OtST23oSjYn5hvs0unZDzp3F+YOe3pqXBQAAMDyQlwHAAAAoOoOF8qMeuticR2AVaZVN0t3dhbD8NHcZF3qqZmu1HxcF4uJYYiIdOx2NWN2c9+RI9LXV5fSAAAAlgXiOgAAAABVd9jNlh6W3rMGgIb3qivMwwxrX0oNtTp6szO7t08pSSZFRMxI2NpVnHvO3r11KQ0AAGBZIK4DAAAAUF3FMDxebnHdWsMq+3wAaGB7nHhSNxYcDhS9PrdMF3Ij2XrJPMxUavaDzj3z8zD37RO/kWeCAgAAXA1xHQAAAIDqOunlSxfX7WBxHYBVyVDqZU6i9Pyb2YnaF1NL21KWfnFvn+OI44iItGz1neTsN4jRUXn00XpVBwAAUGfEdQAAAACq60i5lpFuJmECWK1eHUtpF4OrOU/kp6eCRm4us3V1U9yc+2VydiZo2HGLO3fIPEwAALBqEdcBAAAAqK7DhTKL67qtaO0rAYDloFU3S5d3FsPw0dxkXeqpma7UZfMwZyLLjj2uUrOb+x5+WKam6lIaAABAnRHXAQAAAKiiYhie8AoLDtO60WaYZZ8PAKvBqyLJ0sNvZifC2pdSQx1RPW7O3okyDInFREQi6SC9cbat0HXlvvvqVR0AAEA9EdcBAAAAqKITZRfX0VoHYHXb48STurHgcKDoHS03PbhhKKW2Xd5gN2PdrczDBAAAqx1xHQAAAIAqYnEdAJQylHqZkyg9P5idqH0xtdSVsua29iUSousiImu2u4Yz21j49NNy6lR9agMAAKgj4joAAAAAVVQ+rrOJ6wCsdq+OpTSlFhw+kZ+eCvy61FMbMUPriM62FSoliYSIiGZI+83zDXb799elNAAAgHoirgMAAABQLcUwPF4S16U1Y43O4joAq12rbm6/pNXYVtpuJ/bmRKsXNvYCO+kqNw9z/Ysum4cZLByiDAAA0OAWzkkHAAAAgEo57uXdkvvO22mtAwAREXlVJPl8IdthWK+PNb04EreVlg38PjfX54ZthtluWBHVgG+z3pgwnUGV90MRiUbFssR1JdbmJ9r9qQu6iPT3y1NPyYteVO9CAQAAaoi4DgAAAEC1HCmUmYS5w47WvhIAWIb2OPFfbmp/sZPIBf6+6dEHMuNrdPO/pdbutpzJoHgwM/50IXPCyw8VPTcMlEiTbq4zrJ127KWRRNeKXQKqKbU5aT0/Vpj5ZSolQ0MiIp173MMHZn9TPT3EdQAAYHUhrgMAAABQLUfcbOlh94q9xQwAlWUotceO//3EwFcnh0ylPtJy00siiT439/GhU9/KTRRLupMnA/+Ul/9ObvKvx/s3mc5PJ9e8PtZklCzAW/66U5fFdcPDEobSscvtu98JikpE7r9fPvxhifLuDgAAsGo04FAFAAAAAMuBF4bHvfyCwybdaGVxHQCIiMhZr/Ar/Uf+ZvxCu2F9vr3rhXb0f42ceXf/kYez46VZ3QInvfwfj5z55f4jPyhkalNtBTXZeqsz+w5y05RIREREt8O2Hd7MYTYrDz9cp+IAAADqgbgOAAAAQFWc9PJe6eI6WusAQEREnshPv/dC3ykv/+JI4nPt2wKRX7twdO/06DViusud8vIfHDjWMz1SrSqrpitlzX2cSs1+0HmrO3e4d2+NKwIAAKgn4joAAAAAVdFbKDsJk9FmACBP5qd/Z/D4VOBvMp2Pt2484ebf0993sqQj+XoUw/BPRs7+5dj5ihdZVVuSpqHNjvFMJkXTRESabipGmoKZw+9/XwYG6lUdAABArRHXAQAAAKiKI26u9HCHTVwHYLU7Vyz8/tDJYhgmNf0P2zZNBf5Hh05MBMUbuea/Tg59dXKoUhXWgKmpjfHZ2ciaJomEiIgo6dw9u9MuCGT//joVBwAAUHPEdQAAAAAqzwvD4+7CNpFm3WjRjbrUAwDLhBeGvzd4cirwReTDLRuadfMjQyfG/RvK6mZ8Yaz/u7mpG79OzZSfh7nHUxdvVt19d81rAgAAqBPiOgAAAACVd8LLF2XhAiZa6wDgq5NDM0MvXxxJ3B5N/e+x/tI3NyxNIOEfjZyeDvyKXK0G2qNGytJnPo7FxDRFRKx40LxlNrw8fVoOHapXdQAAADVFXAcAAACg8spOwuwyI7WvBACWj2wQ/Mvk4MzHP5dae9Yr/PvUSAWvP+YXvzIxWMELVtu2lDn3cTI5+0HnHnfusKenxhUBAADUB3EdAAAAgMrrLWRLD7st4joAq9p9mbGZMZhbrcguO/Yvk0NBSSPyDbp7ejizchrstqVsTc1+PDcPc023a8Vn/7McOCCuW+4zAQAAGgtxHQAAAIAKK0p4otziulbDLPt8AFglHsyOzXzwuli6EAYPZscr/hLZIHioCpetkoiu1sVmvzXYtkQiIiJKk/abZzO6yUn59rfrVR0AAEDtENcBAAAAqLBjLovrAGChXBgcuth5/GIn8WR+OludNrjvZCercdkq6UpZcx/PNdh13lqQi113zMMEAACrgVHvAgBgcYaGhu6///6rPEHTtLVr1+7cuVMpdZWnAQCA6jniMgkTABY67uaKYSgittK2WJGHxqvVA/dMIROKrJQfhzbEzYih5YqBiCSTMjAgYSixliC93h8/o4vIt78tY2PS1FTvQgEAAKqJuA7ACvPII4+8/vWvv+bT3vCGN9x99926rtegJAAAsMCRQq70kLgOwCp3vjg74HG9aWsiJ0uGBldKJvBHfK9VXxnzh5XI1qT5g9GCiOi6xOMyNSUi0rGnMH4mKiLFotx7r7z1rfUtEwAAoLoYhgmgMe3bt+/hhx+udxUAAKxGXhie8Bbeg27RjZYVcuMYAKokc3H0ZZNmiMioX6zeaw0XvepdvOK60/ZcL+DcPMy1Oz3j4phM5mECAICGR1wHoGEZBg3EAADUwTE354ULF9dtt1hcB2C1Cy5+YGuaiOTC4CpPvkFVvXjFJU2tLTr741s8LjNDUnQzbNs524/4/PNy9Gi9qgMAAKgF4joAjemtb33r7bffXu8qAABYjY64ZSZhbreJ6wCsdjE1exPGDQMRsaq5bNtWK+yGT1dytpNOKUkmZw8797hzT9i3r/ZFAQAA1A6tJwBWmDvuuOPTn/701Z+TTqe3bt1am3oAAMACZeM6FtcBQPvF2Y5Tvi8iab2K92SadOP5Qra/6O60o3Ovu5xtTlrfG8q5figi6bSMjYmIpNYXY61+ZlgXkf375dd/XbQVlkICAABcL+I6ACtMOp2+7bbb6l0FAAAozwvDkyWL61p1s7mad6UBYEXYYkWUSChytlgQkQ2G/X2ZqsYLWUqtNczv5qb2T4+KSLNu7LRjO+3oC+xodLl23elKNiesw+MFEXEcsW0pFEREOm91++6LiMjQkHz3u/Lyl9e3TAAAgGpZpv9KAwAAALASHS27uM6mtQ4AJKHp26yIiEwH/vmie7Mdq9IL7bRjmqhTF988MeoXv5Wd+OJY/28OHP/k8JmvTQ73urliydfquutKzXcBplKzH3TscjVjttS9e2tfFAAAQI3wFlcAAAAAFcMkTAC4itfG0n1uTkQez029OpYylKpGbPZDkYQXhkdLviAHYXjKy5/y8vdkxmylbTbtnU5shxXZaDoVr2EJWh292dFH876IpFIyNCRhKGY0bO0qDj5vishDD8nUlCQS9S4UAACgCuiuAwAAAFAxV4jrorWvBACWoR+LNdtKE5GHsuNJzXh5JFnxl9BFvS7W9Gwh4141CCyEQa+b+9rk8CeHz3x08ORXJgYfz09nA7/i9SzK1sRsg51hSPTit47OPYWZDwoFefDButQFAABQdcR1AAAAACrDDcNTJYvr2gwW1wHArCbdeGOiRUSeyk+f8QpvTa6p+Ev8SCzdqpsHsxPX/ynDvncwO/HFsf4PXTIt05c6TMvclrJ0pWY+npuH2bLVd5LBzMfMwwQAAI2KuA4AAABAZRwrt7iO1joAuNQvpNa26GYo8pXJwRfasdujqWt/znWzlfaL6fZh3zvvuUv49FBkZlTmZ0bOfmjg+F+MnT+YnRguehWs8OpsXW2Iz77DI5kUXZ+tq+OW2d/Ok0/K2bM1KwcAAKB2iOsAAAAAVMZhN1t6yOI6ALhUTNM/vmajqdS906O9bvZ9zeuaKteC/K6mjnbDatXNT7Vt+kjrhjcnW3dYEfNiv9qi5IPgmXzmKxODHx06OTctMxcGlSr1SrpSs/MwlZpfU9exx1UqFJEwlH37ql0CAABAHRDXAQAAAKiMKyyuI64DgMu80I59qHl9KPKp4TNRpX1izaalJWoL/Hi8+c2J1pmPNaU2ms6dsaYPtqz/9NqtH2xZf2esaaPpLO3K89MyLxybmZZ51M2hXFemAAAgAElEQVQFV92Nt2SdUSNuzt6tmpuHGUkH6Y2ze/V6eqQ6rwwAAFBP7JAAAAAAUAFuGJ7yCgsO1xpWBbtGAKBh/Fi82Q3Dz42d+8Tw6f/etum3WjZ8avhMcAPr4vY48Q82ry/7kKXUDiuyw4qIyIhffK6Q6S1ke91cJvAX+yqByCkvPzMwM67p263IDju6y45V8Eu9UmpbynpqOC8i0ahYlriuiMi6W92xk4aInD8vTz0lt95aqRcEAABYFvjJGQAAAEAFHHVzxTKL62itA4Dy7kq03GTavz908vNj/e9t6rSU9qnh0/klTZt8TTT9u603XU+LXotu3BFN3RFNhSKnvXyvmzuUz/S5eX/xSeF04D+en348Py0irbq5047usKM32zH7hjsFu1LW08P5mYKSSRkeFhFZs901nEgxr0Rk717iOgAA0GhUyAQBAMuYbduue9mO9LvuuuvrX/96veoBAABX8vWpkX3TowsO35luf2kkUfb5AAARGfG9L4z1RzTtfc3rznqFTw2f6S23B/RKopr+rnT7T16cgbk0+SA4WSw8nZ9+Oj894hdv5FKGqG2Ws9OJ7bAiN5nOkoO7e89Mn88WRcTz5OjR2cPDByJnH7NFJBaTe+4RZ4mjPQEAAJYjuusAAAAAVMDhcovruuiuA4CratHNj7TedMrLf21y+DXR9F90dN07PfqVycGzJeOFF7CV9oZ48ztSbS26eYM1OJo2My3zrck1w753qJDtLWQPFbK5xbf6FSXsdXO9bk5EkrrRZTpLm5bZlbJm4jrTlGhUslkRkfUvcmfiukxGvvENufPOxVYHAACwfBHXAQAAALhRbhie8vILDtt0k8V1AHA9NprORtMJJBzzvdfFmu6MNz+bzxzMjj9VyJzy8peOGp4ZO/nSSPLV0VRc0yteSatulk7LPOLmljCjc9IvPu7PT8u8xYntduJbTed6hnZuTJjOoMr7oYikUrNxXazNT7T7Uxd0Edm7l7gOAAA0FH54BgAAAHCj+txs6eK6HXa0LsUAwAqliZprlbvFid3ixEQkkHDML7phqESadMNWWm2KURdDxDtjTZnA73VzvYXsDwqZ0SVNyxz2vQcz4w9mxi2ltpjXnpapKbU5aT0/VhCRZFIGBiQIREQ697iHD0RE5NFHZXBQ2tqW+tsDAABYZojrAAAAANyoPndha52IdDMJEwBu2KUZXr3ENP02J36bExeRuWmZzxWy+cVPy3TDS6ZlanqXFbnFid/ixKIlMWR3ajau0zSJx2VyUkSkY5fbd78TFFUQyIED8nM/d+O/OQAAgGWBuA4AAADAjTrsZksPWVwHAI1nblpmIHLczT2Tz/S6udNefmGH9XWYDPzH89OP56c1pTYY9g4rstOJbTMdQykRabL1VscYzhdFJJWajet0O2zb4V34gSUiPT3EdQAAoHEQ1wEAAAC4IfkgOOUWFhyuNcw0i+sAoHFpItusyDYrIiJTgX/EzfUWss/kM+PBoqdlBmF4ysuf8vL3ZMZspW027ZlpmV0payaui8fFNMXzREQ6b3Vn4rrjx6W3V3bsqPDvCwAAoC74+RkAAADADTnq5XxZ2FbRbbG4DgBWi8TFaZnvSM1Oy3y2kDmUzxZLvjtcUyEM5qZlNmtm0dSafaslsJJJbWRERKTppmKkKciNaSLS00NcBwAAGgRxHQAAAIAbcqSQKz3cYRPXAcBqNDct0wvDY17+0A1MyxwNvGkjOKGyIpJoN0NlxXN2NGt27i4cezgiIvv3y/vfL2adV/sBAABUAHEdAAAAgBtyxC0T120zndpXAgBYPkyldliRHZdPy3w6n5lYzLRMW1cFPxSRKcMrrPGGg4wWKqfNNgpNfm90Ysx85BG5445q/RYAAABqhrgOAAAAwNLlg+C0t3BxXbthsbgOADBnblrm25LhmWKh180dymeOeXkvvEbTnakpXYkfiojouhQDCVSYTeejPzNQLKhw1PxSfzSWj+60oxGl1eJ3AgAAUB38CA0AAABg6Y55+dLFddutSF2KAQAsc5pSG01no+ncGWtyw/D4xWmZp7z8lT7F1lW2GMpMXOfNHprRsFhQqtk7rSb+anjC1GWD6eywIrc4sS2moylVm98OAABApRDXAQAAAFi63kK29LCLuA4AcC3WJdMyJ4Li84XcM/npXjeXCfxLn2brWrboi4gS0XSZedBwQqVL6EsYyuSkNDXJKS9/ysvfkxmLa/p2K7LDjt5sx5pp9QYAACsE/2oBAAAAsHSli+uUyHY7WpdiAAArVEozXhZJvCySCEVOe/mZaZlHvXwxDDUllq5cf7bBbiauUyKmE7oZJSITE9LUNH+p6cB/PD/9eH5aRFp1c6cdnYnubFruAADAMkZcBwAAAGCJCmF4umR8WbthJTW9LvUAAFY6JTI3LbMQBie8wtP56UenJ8/4nojomnhKZmYwm9HAzegikstJoSC2XeZqw753MDtxMDuhiWy2nN1OfIcVucl0CO4AAMByQ1wHAAAAYIn63GxQckhrHQCgImylzUzL/Onkmr85PnomyA8r97xyC2EgIrohuhX6rhKRyUlZs+ZqlwpEjrn5Y25eRBKa3m1FdtjRXXasiWmZAABgeeAfJQAAAACWqHQSpoh0mU7tKwGA5WzE90b9YihiKtWqmwlakBdJidySiGij2kaJ7szJ8xe8TMydjuRdpzgT101MXCOuu9TU5dMyb3Fiu534NssxhKY7AABQN8R1AAAAAJaot5BdcMLiOgCYMeoXH8iMfS83dcjNZIPLWpFbdPMWJ/aqSOqV0aSttHpVuLJ0p+3nRguhSCQi6dCMjJitEusMwu/eY6pN2bA7m+nwYrFFX3bY9x7MjD+YGTeV2mo6O51YXaZljvvFZwuZY25uwPfyQSAiKd3oNKwdVvQFdtRUKhv4F3w3DKXdsGLEvQAANCLiOgAAAABLUQjDM15hwWG7YdE1AmCV6y+6fzsx8EBmrBiGZZ8w4nsPZcYfyoynNOO/JlvfklxDaHdNSVNrixgDuaKIJJMyNCQiYmmq1bfO/1tcRNa/xXvDb2R7C9nnCtl8WDqq+Rq8MOx1c71uTi6ZlrnbiaW0Kt46CyQ8mJ24e2rkqfx0+b8rIlFNf3U09VOJ1q1W5LlC5jcuHC2EwW2RxOuiTbucGP2AAAA0DBVe4d+OALAc2Lbtuu6lJ3fdddfXv/71etUDAADmPFvI/Pno+QWHr42lfyZ53fPIAKDhfG1q+Itj/YXFxEXthvWR1pt22YtvDVtljk6437qQFZFiUY4elZkbWhNnjce+HBcRx5F775VoVAKR427umXym182dKRaCG7jxpSm1wbB3WJGdTmyb6RiqkunY4/mpz46eO13yxpeylMiro+lfa+6Ma/r/GD59MDshIlutyC+m1r4ymqpgVQAAoF7orgMAAACwFOUX11mR2lcCAMtBMQw/M3p23/ToYj/xQtH90MCxDzWv//F4czUKaxibk9b3hnKuHxqGRKOSyYiIpNYXY61+ZljP5+WBB+SNbxRNZJsV2WZFRGQq8I+4ud5C9pl8ZjwoLvYVgzA85eVPefl7MmO20jab9sy0zI03tqU1FPmb8Qv/MDFw/UFiKPJwdvyJ/NTH1mz62JpNXx6/8HcTA8fc3O8NnXxFJPm7rTfFaW0HAGCFI64DAAAAsBRHCgvjOiXSTVwHYFUqhuHvDB5/Ij+95E//45EzA0X3F9LtlS2skehKNiesw+MFEUmlZuM6Eem81e27LyIiPT3yxjde9ikJTb/Nid/mxN+RkmHfO1TIPlvIHMpni7LolrtCGMxNy2zRjRfasR12dIcVWewmuXwYfHL49DezE4stQEQmA/+3B4//RtO6X0y3a0p9efyCiHwnN/neC32fXLN5vWkv4ZoAAGCZIK4DAAAAsGi5MDjl5RccdrC4DsBq9aejZ5ec1c3524mBFt18Y6KlIiU1pK7UbFyXSIimSRCIiHTsco895ARF9cQTcv68dHaW/9xW3bwjmrojmvLC8JiXP5TP9Lq5015+CbMyR/ziwezEweyEErnJdGamZXZZji7XmJYZiPz34dPfWlJWN2OmiTOU8OdTa0+6+Yez4yJyxiu890Lfn6zdSo87AAArF3EdAAAAgEXrK+RK72/SWgdgdfr3qeG9i5+BWdbnxs7ttKNb+XJ6Ba2O3uzoo3lf0ySRkIkJEREzGrZu8wZ7rTCU/fvlne+8xkVMpXZYkR0LpmUWMuP+oqdlhiJz0zIdTdtk2Lc48d12rNUwyz7//4z330hWN+ezo+c3ms5vtax/rpAZ8j0RmQr83xk8/oWO7jV6+ZcGAADLnFbvAgAAAACsPGUX1+2wo7WvBADqa7DofnGsv1JX88LwT0bPBpW6XCPamrBmPkin5w8797gzH/T0SLiYdrmZaZnvSLX9Udvmj63Z+OZk6w4rYqprNMmVlQ+CXjf31cmhjw6d/Ojgya9MDD6en86F83+Y389N/ePE4BKuXCqQ8JPDp5VS722e7yUc84t/OHSKvzwAAKxQdNcBAAAAWLTSuE6JbDWduhQDAHX0dxMD+bCSEcnzhey3shN3RFMVvGYj2ZaynhjO+2EYjYppiueJiLRs8+1kUJjUzpyRZ5+VW25ZypU7DKvDsO6MNblhePzitMzSyc/XY9j3Lp2W+eZES5cd+ezouSUM3rySId/7ysTAO9MdW6yB4+5skc8UMvumR/6fOPNUAQBYeeiuAwAAALA4uTA4XXL7stOwkzpvBwSwuoz7xXsyYxW/7Fcnhyp+zYZh62pDfPbbTWo+0ww7b5lvsLtBllI7rMibk60fad3wP9du+cV0+21OPKqWcg8tFDlXLGww7Ycy42eLhRut7HL/PjU8Hfg/nVhz6eHfjg94i2owBAAAywNxHQAAAIDF6XNZXAcAIiIPZceLVYhGnitkznoVjnYaSVdqdh7mJXGddOxxlQpF5N57pVC5/3hJTX9ZJPGupo5Pt2/9SOuGmWmZxmKmZd5ix2Ka/p9TIxWr6aJsENyXGbsjlrYviRKHfe/BKkTIAACg2ojrAAAAACzO4UK29LDbJq4DsOp8LzdVrSvnq3XlBtAZNeKmJiKWJZGL33wi6SC90ReR6Wk5eLDyL6pENprOnbGmD7as//TaLR9sWX9nrKnTtK75ibvs2IjvPVvIVL4mkW9kxiNK2+3ELj28LzNejdcCAABVRVwHAAAAYHHKLq6juw7AKvRcdTIYETlUtSs3AKXUtmSZBrt1t87Ow9y7t7oF2EqbmZb5+60bP7Fm09uSa3Y7MfsKLXfbrMhT+UyVxlMecrOFMLjFjl96+ExhulDRfYoAAKAG2C0BYIXxPG9s7GqTPZRS6XS6ZvUAALDaZAL/TMmItk7Djmt6XeoBgHqZCIpTgV+li5d+pcWlutLW0yP5UCSVksFBCQIRkTXbXcOJFPPqkUdkZERaWmpRSZththnp18TSvoTH3PyhQuZQIXum6AZhKCKGUq2GeXx64dtcKqUYhqe9wkbTvvTQC8M+N3ezHbvSZwEAgGWIuA7ACrN///7m5uarP8dxnA9/+MOf+MQnalMSAACrylE3X9oisJ1JmABWn0m/WlmdiIxXLQhsDDFD64ga57NFTZN4XCYnRUQ0Q9pvds8+Zvu+HDgg73hHTUvSRXVbkW4r8qaEZAK/1831FrLni64mMlB0q/e6F4ruWmPhTM6zXoG4DgCAlYVhmAAaUD6f/8M//MPHHnus3oUAANCADrvlFtcxCRPA6uOFVRpwOHNxhhleQ1eqzDzM9S+aDcbuvrv2Fc2LafptTvwdqbbfalkvIpmgin+amcCPqoX39yaIewEAWGmI6wA0rMHBwXqXAABAAypdXKcpRVwHYBVytCreVImUBDBYYGPCdHQlIrGYGBenR8Xa/ES7LyLHjsmRI3Ws7jL6FdbaVYSmlC8Lk+NiNbNkAABQDfzjD0Bj2rVr1w//8A/XuwoAABpNNgzOlUz0WmdYMRbXAVh9WnSjeiHMmpLxhlhAU2pz0hIRpSSZnD/v3DP7faqnpy51lVHV9a5JTS/t3otUM0sGAADVwO46ACvM7t273/ve9179OalU6o1vfKPjOLUpCQCA1aOvkAtK3rBPax2A1clWWodhna/OWrJNJj/OXFt3ynp+rCAi6bSMjs4eduxy++53gqI6cEDe9775xrs66qxm+LrOsEvnVK/Vzeq9IgAAqIZl8G8WAFiMjRs3vutd76p3FQAArFKlkzCFuA7AKrbbiZ+fHr328xZvjxOrxmUbTJOttzrGcL5o2+I4ks+LiOh22LbDu/ADa3RUHnlEbr+93lWK7LCiVbpyXNPXmdb+kr+EmyziXgAAVhha4wEAAABcr9L372tKdRHXAVitXhVNVeOyttJe4iSqceXG05WabVxLXfJHMTcPc+/e2ldUxi4nZlVnfd2tTlwT9VRh+tLDNbq5zrCr8XIAAKB6iOsAAAAAXJeyi+s6dRbXAVi9XuokWqswdfDV0RRfWq/T5qRpaEpEkkmZS8SaNhYjTYGIfOMbMjFRx+pmRZT2yuoku6+LNQ0Wvd7CZW+mub06rwUAAKqKuA4AAADAdTlcyJYurttu01oHYPUylHprck1lr6mJenuqrbLXbGCWpjbGDRExDInNDRBV0rm7ICKeJ/ffX7/iLvFTidaKX7PDsF4RSd6bGb30e7MS+Yl4S8VfCwAAVBtxHQAAAIDrUnZx3faq7eMBgBXhTYnWjWYl94TdlWip7AUbXnd6dvDj5fMwPaWJLJt5mC+0Yz8UqfCA059PrS1K+G9Tw5ceviKa2sLiOgAAViDiOgAAAADXpTSu05Taxj1BAKubodRHW2+yVWVusKw37F9Jt1fkUqvH2oiRsnQRSSREvzhD1IoHzVuKIvLMM3LyZP2Ku8T7mtdHtYrdiNvtxH803vzPE4PjfnHu0FLqPU0dlXoJAABQS8R1AAAAAK4tGwbnSxbXrTNYXAcA0mVFfrf1JnXtJ15DTNM/3rYpytfVxduaNEVEKUkm5w8798x+29q3ry5FLdRpWB9t3Xjjf09EJK0bH2296bSX/6fJwUvP393Uuc6wK/EKAACg1ojrAAAAAFxbb9nFdRaL6wBAROTV0dSvN6/TZOlZTEoz/qht8xbGYC5JV9rWlMjl8zDXdLtWPBSRffskCOpU2eVeEUn+yg13vzlK++SazXFN/9jQKfeSb80/Gmv6L1XYkAcAAGqDuA4AAADAtR0plFtcZ7O4DgBmvTnR+sm2zUvrOd5iOZ/v6HqhHat4VatERFfrYqaIRCJiWbOHSpOOm10RuXBBnniijtVd5m3Jtvc3r9OXmuy2Gdbn2rd1WZHfHzp50svPnb82lv6tlg0Vad0DAAB1QVwHAAAA4NpKF9cpka10gQDAJX4okvh8e9etTvz6P0UX9VOJ1j9v72o3rGs/G1fWlZr9D3hpg13HrYWZXKynpx41XcGbEq1/vHZLWjcW+4m7nfgX2rvWGOaHB49/Pzc1c6hEfja19vdaNxqKtA4AgBWMuA4AAADANWQCv99fuLjuJtNhcR0ALLDetD+9dusft225zUlcPTxxlPbj8eYvd27/9eZ1EcX9mRu1IW5GDE1EUimZy61iLUFqXVFEHnhAstk6VrfQi5z433Xu+C+JVuv6MrY2w/rtlg2fWbt1NCi+p7/v6fz0zPkm0/nM2q3vTLdnA7+a9QIAgKpb9Bt5AAAAAKw2R9xc6eK6bhbXAcAVvCSSeEkkMeR7389NPVfInPEKY0HRD0Nbaa2Gucl0dtux2yIJUroKUiJbk+YPRgumKZHIfDjXucedOGvkcvLww/KGN9S1xMslNP19zevekWq7NzP2cGa8z80t/EYrElHarU78R2JNd0RTvoR/PzHwjxODhTAQkRfY0TcnWn84lp4Ogr8ev9BbyP5my/oOejQBAFixiOsAAAAAXENvoUxLQpfFJEwAuJo1uvmGePMb4s31LmS16E7bz40WQpF0ej6uW7vT67tXiq709CyvuG5Gi26+Ldn2tmTbdOCf9PIXim4+DEQkrRkdhrXRdAylJoPi/ZmxBzLjgYSvjzV1W5HbIolOw8oGwf7psfszY9kgEJE/Gz334Zb1rbpZ798TAABYCuI6AAAAANdQdnFdF911AIDlJGlqbRFjIFdMJETTJAhERHQrbNvpnn/KeuwxuXBB2tvrXeUVxDX9Zjt2sx0rfSipGT8Wb/6xi7mvL+HT+cyB6dEn89PuJb3vY37xT0bOfrhlfQuJHQAAKxBTFwAAAABczVTg9xcXLq7baDpRFtcBAJaZrpQlIpomicT8YeceV0SCQPbtq1ddlaSLMpR6LHdZVjdj1C/+2ej5SfbYAQCwAhHXAQAAALiastt0um1a6wAAy86mhGlqSkRSqfnD1PpirNUXkZ4eKUm4VqRb7NivNLWrcg8NFN0/Gz2XDYNa1wQAAG4McR0AAACAqymdhCki3UzCBAAsP4amNictEYnFxLxkJGTnra6InD4tzz1Xr9Iq7FYn/vPptZoqk9md9QqfHTlXaIxkEgCAVYO4DgAAAMDV9BayC06UyFbTqUsxAABc3cw8TLm8wa5jl6sZoYjs3VuXoqri5ZHkW5Nryj50wsv/6cjZAj12AACsHMR1AAAAAK5o0i9eKFlcd5Nps7gOALA8rXH0ZkeXy+M6Mxq2bvNE5J57xF34bW0Fe0009dNXSOyOe/m/Guv36LEDAGCFIK4DAAAAcEVHyi2u22FH61AKAADXZ2vCEhHLksglk5s797giMjkp3/pWveqqih+Jpd8Qby770POF7F+PX6DDDgCAFYG4DgAAAMAV9Xn50kMW1wEAlrNtKUtXSi5vsGvZ5tvJQER6eupVV7X8ZKLlR+NNZR96Kj/9pbF+OuwAAFj+iOsAAAAAXNERt9ziOuI6AMAyZutqQ9wQkWRSlJo7Djtu8UTk29+W0dG61VYlb0603h5NlX3oifz0300MkNgBALDMEdcBAAAAKG/SL/Z7Czf8bDSdiOLnCADAstaVskRE1yUenz/s3FNQKvR9ueeeuhVWJUrk7ck1L40kyj76nezkv0wM1bgkAACwKPyYDQAAAKC8w+UW1zEJEwCw/HVGjbipiUg6PX8YSQdNG31pxHmYIqIp9Uvp9tuceNlHH8qO3z01UuOSAADA9SOuAwAAAFBen5srPdxhR2tfCQAAi6KU2pa0RCQWE8OYP+/Y44rI4cPS11ev0qpIifxSuv1mO1b20b3To/unG24MKAAAjYK4DgAAAEB5h0viOk1kq+XUpRgAABZlW8pSSiklyeT8YdsO13BCEdm3r26FVZWh1K82dVypFf4/pkbuy4zVuCQAAHA9iOsAAAAAlDHpFweKZRbXOSyuAwCsBHFTa4/oIpJKzR9qhrTf7IrI3r3i+/UqrbpMpX6tuXOTWf7tNf82OfzN7ESNSwIAANfET9oAAAAAyjji5VlcBwBY0brTtog4jtj2/OH6F7kiMjoq3/1uveqqOkdp72/uvMm0Sx8KRb4yMfj93FTtqwIAAFdBXAcAAACgjMOFbOlht01cBwBYMTbGDUdXcnmDXazNT7T7ItLTU6+6aiGq6e9rXtdpWqUPhSJ/Mz7wTCFT+6oAAMCVENcBAAAAKOOwuzCu00S6rGhdigEAYAk0pTYnLRFJpUSp+fPOPa6IPPywTDV0j1lC09/XtK5VN0sf8iX8wlj/c+XemgMAAOqCuA4AAADAQhNBcaDoLTjcZDn2pTc7AQBY9rpTlogYhsRi84cdu1zNCF1X7r+/boXVRpNu/GbL+pZyiV0xDD8/dv6Im6t9VQAAoBRxHQAAAICFjhTK3LxjcR0AYMVpsvVWx5DL52Hqdti2wxORvXvrVVftNOvG+5s7k5pe+pAbhn8xev6UV6h9VQAAYAHiOgAAAAALHS73XnviOgDAStSVskQkkRD9ksRqZh7mU0/J6dP1qqt21hrWB1rWRVWZ24D5MPjT0XNnSOwAAKg34joAAAAACx0uWWajiWxjcR0AYAXanDQNTSklicT8YdPGYqQpEJH9++tWWC2tM+z3t6wrO9Q6G/ifHTvfX3RrXxUAAJhDXAcAAADgMhNBcdBfuLhusxVhcR0AYCWyNLUxvnAepijp2O2KSE+PhGGdKqutTabzgZb1drkeu0m/+Kcj50b8Yu2rAgAAM4jrAAAAAFzmcLnFdduZhAkAWLG607aIRKNiWfOH6/a4SpP+fnnyyboVVmNbTOc9TR2GlHn/zXhQ/MzI2XESOwAA6oS4DgAAAMBljpRbXNdFXAcAWLHaIkbS0uXyBjsrHjRvKYpIT0+96qqDF9jRdzV1lL0hOOR7fzJydirwa10TAAAgrgMAAACwQGlcp4vaajl1KQYAgBunRLYlTVkwD1Okc48rIg88IPl8Xeqqj91O7FeaOspOuB70vT8dPZcNg1rXBADAqkdcBwAAAGDeRFAcKLoLDjeadtlVNwAArBRdaVuJmKZEo/OHa7pdKx5mMvLQQ/WrrB5e5MR/LrW2bGJ31it8duRcYZUs9AMAYNngR24AAAAA83rLLq6zmYQJAFjZIrpaH1/YYKc06bjZFZG9e+tVV928Ipp8a2pN2YdOePk/Gz1boMcOAIAaIq4DAAAAMK/s4rrtVrT0EACAlaUrZYlIMinaJffDOm4tiJLvfU8GBupWWL28Npr+yURL2YeOufm/Guv36LEDAKBWiOsAAAAAzDviZhecGEptYXEdAGDl2xA3I4amaZJIzB/GWoLUumIQyIED9ausft4Qb/7xeHPZh54vZP96/AIddgAA1AZxHQAAAIBZ435xsOgtONxkOiyuAwA0ACWyNblwHqaIdO5ZpfMwZ7wp0fL6WFPZh57KT//t+EBAjx0AANXHT90AAAAAZvWWtNaJSLfF4joAQIPoTttKJBYT05w/XLvTMyw5flwOHapfZXX1U8nWO6Kpsg89mtUJNNkAACAASURBVJv8+4lB8joAAKqNuA4AAADArPKL62wW1wEAGkTS1Noihogkk/OHuhW2vcAVkZ6eetVVZ0rkbck1L4kkyj76ndzkVyeHalwSAACrDXEdAAAAgFlHCgvjOkOpzaZdl2IAAKiGrpQlJfMwO/YUROTAAXHduhRVf5pS70y3v8iJl330wcx4z/RojUsCAGBVMepdAAAAAIBlYTwoDvkLF9dtZnEdAKCxbEqY3x1UYoeOI/n87GF6gx9r9SeH9e98R17zmmq99BE390R+6qib6y+6mSAQkZimdRhWlxV9kRPvqvf0aSXyznR7Yez8c4Uyw7H/c2rEVOrOK2y5w6IUwsANw5im828siEg+DIaL3lrDMpXqLWS/l596rpA54xWmAz8XBhGltRnWRtO+xY6/Mpps1c1rXxHAykRcBwAAAEBE5HBJa52wuA4A0HAMTW1OWkfGC+m0XLgwf965x+27P9LTU/m4Lh8Ge6dH/2Nq+KxXKH30UCH7QGZcRDaY9psSrT8Rb67jG2UMpX61qfOzo+f6ys3H/trksC7qdbF07QtbucJQlBIvDB/NTX4/P/V8IXvGKxTCYObRFt3cZDq7ndgd0dRG06lvqbhBocjpKe/ElHs+Uxwt+Lli4Idi6ypuamsc46a42ZW2EuZl/3ef9Qrfz0+9NppuN6x7MmNfnRw8XfJVYir0p9zcMTf3YGb8s6PqpZHEO1JtN9uxGv7OANSICkOWxQJYvmzbdi+fRXLXXXd9/etfr1c9AAA0sL8dH/hObnLB4Qeb1+1gdx0AoLEM5f29p6Z8X/r6ZO7GmJdV3/psUhN14ICkKxdIfSM78bnRcyMl/etXskY3f6N53e3R1LWfWjX5MPj0yNlT5cJFJfKzqbZX1bW8lWJkRJJJyev+/50c+o+p4cnAv/rzX2jHfjbV9rJI8upPwzLkBeETw/nHh3KTbnCVpymRrSnr9o7Y2ojuhuH/Hu83lfZL6fbnC5n/OXL2lJe/yucu8NpY+v3N61IarThAQ6HlGgAAAICIyJGS99EbSm2huw4A0HDWOHqzreu6xC/Z1GZGw9ZtXrEo995bmVcJJPzLsfMfGzp5/VmdiAz53v83dPILY/2B1O0d9o7SPtC8bkO55bWhyD9MDD6Wn659VSvI+Lh8+9vS0iLf9sZ/7nzv300MXDOrE5HnCpnfHTzxO4PHF/UXBnV3bNL90vNjD53LXD2rE5FQJFcMU5Y24nsfGDi62XR+Od2+f3r0AwPHFpXVichDmfH39PedWORnAVjmiOsAAAAAyJhfHC65N7TFdCyl6lIPAABVtS1liUjq8iaxzj2uiPT0VOD6hTD4yOCJf50cWtqn//Pk4EcHT86NTKy9qKa/r6mzw7BKHwpF/s/YhadJ7K7g2Wfl0CF5+Svlr8f7/2Do1LhfXNSnfy839av9fYfdMusDsQw9MpD7v8cmrxnUzUhb+n/dkjgfFH61v+9lkeSPxZu/MNb/v0bOFJc0/a6/6P76hb7HclNL+FwAyxNxHQAAAADpLXdXqNumtQ4A0Ji2Ji1dqXhcdH3+sGWbbyeDQ4fk6NEbungo8j+GT3/3xm6jP5qb/P2hk379euySuvGBlnUteplpe76EXxy/8INCpvZVLXN33y0/+IG87BXhHwyd/MrE4NL+8IZ97/0Xjj1aMqIcy0oosvfU1DfOZ67zT9nS1E9tTeZV8LuDJ3Y5sf+WWvu1qeF/nhy8kRqyQfB7QyefLxDuAg2CuA4AAACA9JVMwhSRboutdQCAxmTrakPcUEqSl20KCztu8URk//4buviXxy98IztxQ5cQEZHv5qb+ZvzCjV9nydKa8cGW9elyiV0xDL8w1l86SXs1e+ghefRRedvb5PNj/Tf4F6AQBp8YPnWcUYfL2MHz2WdHy+x3vJLXb4ilbe3/HTopEv5Wy4bHc1N/OXr+xssohMHHhk9OBotr4gSwPBHXAQAAAJDekrflmkptMZ26FAMAQA10pSwRSacvO+zcU1Aq3LdPgqXOoXyukPn7iYEbrm7WP04Mln6PrqU1uvmbLesTml76kBuGfzF6/iSRkoiIHDsmH/+4/MEfyP7p0SUPQb1UNgh+b/AEMczydGis8MjAIv7HXBczdzU7/zAx8Fwh856mzjAMPzVyplK9s4NF7/Nj/RW5FID6Iq4DAAAAVrtRvzhSslhlk+mYLK4DADSuzqgRNzXHEdueP4ykg6aN/tCQfO97S7zs50bPV3B+ZSjy52MVaMG5EW26+YHmdVFV5i5iPgw+N3q+v+jWvqplpViUt7xFPvEJGVPen4+dq9Rl+4suMcwylPGCe84sbnfjK9sjw773T5ODN5n2HdH0P08OjZQsjb4RB6ZHj9LqCqx8xHUAAADAalf2bfs7bCZhAgAamVJqW9ISkVTqsvOOPa6I7N27lGs+lps6XG4d7I14rpB5Mr+4bKDi1pv2+1rW2eXexzMd+J8ePXdhdSd2X/yiJBJy++3y5fEL2SU3ZpZzYHqUkZjLzTcvZAv+IkL5JlvfkrT+dXLIC8O7Eq1uGPz71HBlSwpF/unG1uABWA6I6wAAAIDVrs8ru7guUvtKAACopW0pSymVSsmlOVTbDtdwwgcflOnFZ2R7p0crWF61L7som03n/c3r7XI9dpN+8TMj54aLlewWWkE8Tz71KXn3u2XUL96bGavsxUORf54ghllGssXg2ZFFrKwTkZ1NdjEM782MKZEfiaYPZiemA7/ihX0zOzFVhcsCqCXiOgAAAGC1O1IyPMdUajOL6wAAjS5uau0R3TAkeklLuWZI+81uoSAPPri4qxXD8NHcZGUrnPFIbqIYVnDE5hJttZz3NHWUnZU9HhT/bOzceMls7dVg3z4ZHpY3vUkeyIxV44/pYHaish17uBHPjRb8Rf4pb06azxUy435xqxVJ68Z3shPVKMwLw8dyU9W4MoCaIa4DAAAAVrURv1j6dvjNLK4DAKwO3WlbSuZhrn+RKyI9PYu71GE3mw+rEqtkg6BveSymeoEd/eV0e9n7iYNF79OjZ1dhf89XvyqveIVEo/JIdcLaQhg8mSeGWS6OTixu7qumpCNqPF3IiMgL7KiIPFvIVKUykaerdmUAtUFcBwAAAKxqh8strtvO4joAwOqwMW44ukomRdfnD2NtfqLdf/JJOXduEZc66S1uRN6inFw2C8z2OPFfSLdr5d7WM1D0Pjt6LledzHLZeugheclLJJDwULl/U1VE9QIeLEoYyrns4lpIU5auK3Xay4vIBsOeCvzRqjWhnl42XyUALA1xHYAVZv/+/c3XsmXLli996Uv1rhQAgJWhdBKmiGxncR0AYHXQlNqcsJSSROKy8849bhjKvn2LuNRQcXFtN4sy5C+jzXA/FEn8bLKtbBv+aa/w2dFz+VUzvHFoSPr7pbtbBopeoWo55elqJsG4fhOuXwwWNwkzZmhy8f/fJt0Yreb/yCPL6asEgCUgrgOwwnieN3YtJ06cePe7333o0KF6FwsAwApQGtcZojZbLK4DAKwW3WlLSuZhduxyNSP8z/+U619TVdWustwyC8BeGU3+dHJN2YeOu/m/Gu8vSv2X7dXAyZMiIq2tUtUYpnr9WFiUaW/R/xuamojITIBtK62qXyWqNIwXQM0Q1wFoTGEYHj16tN5VAACw3A37Xun7cLdajiEsrgMArBZNtt7i6NGoWNb8oW6HbTu88+fl6aev9zpVXfu6DHfK/nAs/cZ4S9mHegvZvxg9711/1LliTU6KiEQi4lbzN0sMs0x4i/9D9kMR+f/Zu+8AuQpyf/jP6dPbzvaasimUEEBQUCCCVIGLAURFuP70XtALFkTEckGQK7aLVEFzERXfKBbAQEgIIFUpgRAgQEjPZnuZmZ0+p79/bAjZmTNbp+zOfj9/Zc85c/bJTjvnPOd5HhIZlogU05SYIl6NF4u5cwAoAbyHAaAyNTU1rVixotxRAAAAzHSWnTAXiRhcBwAAc0u7VyQij2fUwoblChE99thEd+Jl+QKHdfDOuSLufMrOdgfOcPktV70rp+4b7qv4LNPIyMNUioqahrEjDTMz8JNPmqd1k95//8YMzVfMTwl/MXcOACWA9zAAzDILFy48//zzx9iAZdna2tqLLrrIk3WmBQAAADnek1O5CxdJGFwHAABzy3yP+Npgxus1h4Y+WOhv1ex+44kn2KuvJtsEukQ3CVLxImzii7jz6fiUO6iZ5lPJ4dxVr2cSvxvu+4K3lp15pYGF4vMREQ0N0bHFzKcGZmSydg5yCpPOmw7LuknUzEtE1KXKfo53s1zc0IsQHbUU8yMIAEoAn/UAMMsccsghP/nJT8odBQAAQIXYkVNdJzDMPAGD6wAAYG4RWabVxe8yVIeDUgduZWGo/ghl97O255+n004bfydLRQdDRZnYxhAdIs3c2vcLPNUp03gxFctd9Uo6bme5z3iqKzVft2ABMQxt305f4EWJYeXidK1swbHZzOATOY7Z399yglTDDGX0QyUHEW1T0kR0qOR8OW3xZpm+wyRnMXYLACWDSmoAAAAAgDlqUFfDupa1cIFon4HTcQAAAIptkU8iIq931MLG5QrD0tq1E9qDj+OL1FB6qeRws1wx9lwQDNGl3toP2VyWa59NDv8tNmS5qgK43bRoEW3cSGwxkyXLbEjDzAgsQ/VOYbKP6ogrR9pcIsNsU1IpQ/+I3V2U2Ig5pjh7BoCSQboOAAAAAGCO2i5bDq5DJ0wAAJiLauy8R+Q8HmIPulomuozAPO3ll2loYvmm0/IMcpum05xF2W0BMURf9NcdkSdj91Qy8mg8VOKQSubUU+mllyiRoOMdRRnJYWfYI/P8YaH0FnrEyT5k67DiZLmPOryaaT6Xin7c6ROLcG/cMXZXFTfpVCIAzChI1wEAAAAAzFHbczphEtJ1AAAwVzFECz0Cy5JrdGakYblsGLR+/YR2coYzUPAyOC/Ln+4KFHafxcARc5mvLl+F2dpE+IlkpMQhlcbnPkeZDD38MJ3sKEoaZoXTZ2NwCXemODQgsZN8krsS6lBG/7SnmogeTYQ8LH+mq6rggX3GU1PwfQJAieGzHgAAAABgjtqupLKWCAzThuEoAAAwV7X7JCanH2ZwkSY4jEcfndAeHCz7eW9tYaO61Fc7W7I1PMNc7q/Pd+vPQ7Gh51LREodUAscdR8ccQ/fcQz6OP7PQiVWG6CJPdWH3CdPhFthD/NJkH/VSX2qJ6Fjh8G2VU5sy8Uu9tc6C5vWPs3uWowQTYPabHV/2AAAAAABQWAOaxeC6hRhcBwAAc5idY5pcgtNJPP/BQpYzG5apu3fTtm0T2sn5nuBSqWAT7JZKjvPchS/EKR6RYa4INFje/WMS/Sk68K9UrPRRFdsPf0gvvURPPUWXeutcBU3DnOOuasWtVDPMCfUOYZIVdu9G5J6kdmWgIcDxvwz3eFjua4HGQsXjKujeAKCMkK4DAAAAAJiLckvrCJ0wAQBgzmv3igyTXWBXf6RMDK1dO6E9cMTcVN0WLMQQKS/LXxdsZWmW3UljY9ivBhoaeIsRXybRH6L9r6bjpY+qqM44gy66iL7xDXIb/DcCTYV6wpp46T999QXaGRSMV+RObrRu+pqPSfTYvriL+B9Wt3Vp8m+G+05z+j9diLpJlpjvVDXXWb3dAGDWQboOAAAAAGAuwuA6AACAXM0uwc6zWek6Z5XhbdQef5y07Lp0a1Wc8KOaeY7pVVk5WO7HNfPqZ+dVeBfLXRVotEwhmES/He5/K5MsfVRFde+9xHF0zTV0itP3OW8Bpog5WPammrbC1upBoRwZtB0ZnFzVYyijP7I3fojovKaq+S+xwSeSkcv99Sc4vOM/Mj+WmKuqGj86vZ0AwMyBdB0AAAAAwFyUm64TGQbdlgAAYI5jiBZ4REki2+ivxIblSiRCL7440f0sEu131y20rDCbiCZeurtuYQGbapaeh+OvqmoM8hZVhjqZq4Z7t1ndOTR7uVy0Zg396U907730RV/9yU7fdPYmMewNwTZMFJ7JTm1yzfdM7g2+K6Y83ZM81en/ac28X0d6tmSSN1S3fdYzxeSui+V+XDPvbNdsapYLAGNDug4AAAAAYM7p15RIzuC6BRhcBwAAQLTIJzKU3Q+z9hCVFyfaD3NEq2C7p779I3bPZAM43u65u769Au6h8bH81/2NPo7PXaWa5l3h7h2VlbFra6N//YvuvJP+8SR9P9hywVRbHQY4/n9r5x9jdxc2PCigblXu05Xz53sOC0iTeuCrA+lH9saXS67baxf+erh3QyJ8mb/+umCrl7V4m4xhqeS4p679WLxIACoL0nUAAAAAAHOOZSfMxeIsvoUfAACgUDwCW2PnPR46+CYWTjRrliovvEDDw5PZFcv/uGbeTdVtCyfWbrpdtN9cM+9HNfPcldICsYYXvhlosvzvKKb5y3BPh5opfVTFs3AhvfAC/epX9Oc/MVf4G/6nuq16klMMT3R4761ffJg0udFoUDI6mRuSkZtDnT8Z6nxPSZ3d6j6rxWXjJnHH27sR+ZnuZAMv3VW30CD6/6L9Jzi89zcu/qynZiIddFsE6bvBlrvq2puEyWUKAWDmY0zTLHcMAAB5SZKkKMrBS84999w1a9aUKx4AAIDK8Jvhvo3peNbCb1c1LxBn/Y38AAAA07czqvyzL9XVRfGDvi2HO7lNv3dfey1deOGkd2gSvSMnn04Ov55J7FMzB1+MY4haBNvRNtfJTt8hkrMi69w7VfnWcHfS0HNXuVjuW1VNs3RE3xgeeIC2bqVrriHOafw9PvRgbCikq2NszxAdaXNd6q09wuYqWZAwWV2a/NtIf5cmj/zIEJ3pCnzSFVB185WB9OahjKyPc6W93sF/tM6x0PvBC94geldO2hl2vmhXTOOfqdjGdOxtOdmnqQbt35vEsG2CbZnNeYLDe1iFfkoAACFdBwAzHNJ1AAAAxfCdgT1ZzTBFhrm1dgGPZpgAAABEmmH+eVcsHDW7ukYtf/lX7nl13O9+N62dy6bRoykpQyciB8s18pI4B75/dyuZ2yPdGcPIXeVmuWuqmmutptzNarpOTz5JokgnnECcYG5KJzZm4u/KyU5Vjhs6EXHE1PDCPMG23Ob6mMNbeTnLSqKR+Ugs9EQyknslvZYXz3cHl9mcmmHujCq7Y0pPSovIuvH+pnaeCdr4Fpew2CfW2MdqemkQmWRyxBCRZppxQ8+YhovlXOxkyvcAYNaaXFdcAAAAAACY7QZ0NXdw3ULRjlwdAADACJ5l5nlERZc5jvSDSsIalitvP2Xfu5fa2qa+c4lh583+uXSTNV+0fcVXf2e4R6PsfEfc0G8Nd30r0BSsrIwdx9EZZxARaRoN9jOLbO5j/B9MGlNMcy6kaSvDbiVzf7S/V1Ms1/Zryt2RnuU258Xe2qV+aalfIiKTSNZN3TRFlhHYiT7RLBHR/o15hvFbzX0EgAqG2XUAAAAAAHPLe3Iqd2H7xGbqAAAAzBHtXpFhyOMZtbB+mcqwtG5dmWKa5ZZIjisCDYJVjiqia7dHuqNG9u1ElYHnqbaWvN5RC5GrmxVU03woNvSzUGe+XB0RsUSnO/3/4av3HDR5jiGycYyTZyeeqwMAQLoOAAAAAGBu2a6kcxcuRroOAADgINU2LiBxWSkWwWEE29W1a8mqpyOM7xDJ8SVfneXlyAFNvS1kPd8OoCx2q5mbhjo2WDXAPKCRl74TbF7pCVrmoQEAJgXpOgAAAACAuWVHTrpOZJjWudeVCwAAYGwLvaLdTpI0amHDcmVggF57rUwxzX5H2lxf8NWxVrmNHk35BTJ2MAPsL6ob6uzX1HzbcMSc7vR/L9iMo2gAKBSk6wAAAAAA5pB+TR3OGVzXLjowuA4AACDLAo/IMUxWP8xguyZ5jLVryxRTRfiw3X2Jt8byyKNLk38Z6c2gehHKZ6eS/uHgOEV1zYL03WDzSk8Qh9AAUEBI1wEAAAAAzCHbFMvBdbgpGAAAIJvEMU0u3uej0Rfkzfpl6jPPUMriGxUm6ni750JPteWqXUr6V8O9Go2RKwEoCsU0H4oN3RLuHtDHKar7brC5WZDybQMAMDVI1wEAAAAAzCHbZIuLi4tFR+kjAQAAmPnavSLPk2P092TDcjmTMZ9+ukwxVYpTnL5z3FWWq7bKqbvDvaqJjB2Uzg4lPTKpzsj/wpsn2P472LLSE+QIRXUAUHhI1wEAAAAAzCE71UzWEhvLtoq4OxgAAMBCo4N3CqzXO2qh3Wf4W3X0w5y+s12B05x+y1XvyMn7hvvQExNKIGMaq6MDt4S6BvJPquOJWekJXhtsbhDEUsYGAHMK0nUAAAAAAHNFn6bkDq5bKNhxgzAAAIAlhmHaPaLbTezoS2j1y5VNm6inp0xhVZCVnuBJDq/lqtczifuH+8codQKYvnfk5I2DHc+nomO8zhaI9uuqW053+nHEDABFhXQdAAAAAMBcsU1J5y5cJNlLHwkAAMBssdArchzjdo9aWLNE4STz8cfLFFMFYYg+6635qMNjufaldOwv8aEShwRzRNo0VkcH7gz3hHPuZjtAYJiVnuA1VU11PIrqAKDokK4DAAAAAJgrdlim60Sk6wAAAPJyCWydncvqh8nyVHeYsnYtofRr+hiiS7y1x9jdlmufSQ7/NYaMHRTYO3Jq3KK6+YLtumAriuoAoGSQrgMAAAAAmBNMom1yKmuhjWVbBAyuAwAAGMsin+R0kiCMWtiwXNm3j7ZsKVNMlYUh+n++2mU2p+Xap5KRdYlwiUOCSpUy9NXRgTvC3ZEJFNXV8kK+bQAACg7pOgAAAACAOaFXVWKGnrVwgWDD4DoAAICxtbp4G8dkFdi563R3nf7YY2WKqeJwxFzmqz9Uss7YrYmHNiQiJQ4JKs8WOfnDoX3Pp6JjbLNQtF8XbDnd6WcZHCQDQEkhXQcAAAAAMCdsV7JL64hoieQofSQAAACzC8sw89xiVrqOiOqPkDdsIFkuR0yVSGCYL/vr2/O06X44PjR2lgVgDElDXx0duCvcM0ZRncgwKz3BqwONtZhUBwDlgHQdAAAAAMCcsEPN5C7E4DoAAICJWOQTRZHso78265epqYz5wgtliqkSiQxzRaChVbDlrjKJ/hgdeDEdK31UMNu9mUmMW1S3SLSPTKpDUR0AlAvSdQAAAAAAlc9ycJ3EMC1Wl8MAAAAgi1/iqmxcVoEdL5k1S1T0wywsO8N+LdBQb1XeZBLdP9z/Wjpe+qhglorp2n3DfXdHeofzF9XZGPZib803q5pqMKkOAMoK6ToAAAAAgMrXpynxnMF17aID5wMAAAAT1O4VPR7KKrxpWK68+CKFQmWKqUK5WO7qqqZaq9yJSfTbaP8WOVn6qGDW2ZRJ/HBo3ytj5ncPlZw3VLee6PCipA4Ayg6n5wAAAAAAle+9nNI6QidMAACAyZjvESWBcbtHLfS3aqLH2LChTDFVLjfLXRVoClpl7DTT/HWkd7uSLn1UMFvEDf1Xkd5Vkd7c+9UOsDPsxd6arwYa/BxfytgAAPJBug4AAAAAoPJZXtJaIjlKHwkAAMAsJbJMq0vI6odJDNUfoaxZU56QKpuf47/ub/SyFqkU1TTvCvfsRMYOrGzKJG4Y7NicSYyxzaGS44YaFNUBwMyCdB0AAAAAQIUziXaqmayFNoZtEaSyxAMAADBLtXtFp5P40fmjxuXK7j20fXuZYqpoNbzwjapGJ8vlrpJN465wzz5VLn1UMGPF3i+qS+QvqnOw3MXemq8FGn1WmWAAgDJCug4AAAAAoML1akpM17IWtot23E0MAAAwKbUO3itxHs+ohaLLCMzTHnusTDFVugZe/GaejF3aNO4Id/eoSumjghloIkV1h0vO64MtJzq8Y2wDAFAuSNcBAAAAAFQ4y06YGFwHAAAwWQzRQk9OP0yihuXy+vWkZd8bA4XRxEtX+OttrMVlzLih3xHpHtLV0kcFM0fU0O6O9KyK9CbzF9U5We5ib82VmFQHADMY0nUAAAAAABXuPTmVu3CRhHQdAADApLX7JLuNbLZRC4OLtHjGePnlMsU0BywQ7V/21fNk0Rogomu3hLpCyNjNVZsyiRsGOt7MJMfYZpkNRXUAMAsgXQcAAAAAUMlMol05g+vsDNsq2Cy3BwAAgDHYOabJlV1gx3Jm/TIV/TCLaqnk+K9AvcBYZOzCunZ7uCdqoLxxbgnp6m3h7lWR3pRp5NvGw/GX++uv8Df4UFQHADMe0nUAAAAAAJWsR5NzB9ctkhwYXAcAADA17V7R46GstFHjkcpzz1EsVqaY5oZDJecXfXWWVzP7NeX2UM8YvRChkphEz6eiNw52bLXqIXHA0TbXD4ItR9lcJQsMAGA6kK4DAAAAAKhkloPr2kWU1gEAAExRs0tw21inc9RCR5Vur9aeeqpMMc0ZR9lc/+6rY61q7Lo1+Reh7hQydpVuSFNvD3evjg7IpplvGzfLXe6vv8xf72K5UsYGADAdSNcBAAAAAFSy7bJFum6RiMF1AAAAU8QQLfCI3pwxWA3LlbVryxHQHPMRu/vT7qDlqi5NvjPckzHytkaEWW2kqO6m0L5xi+purG5FUR0AzDpI1wEAAAAAVCzTqrrOzrAtGFwHAAAwDYt8osdN3Oi6ndpD1Xffo46OMsU0l3zc6bvQY52x261m7on0aJS37gpmqSFdvTXUtTo6MEY61sNyX/HXX+avd6KoDgBmIaTrAAAAAAAqVrcqJ3JaQrWLdgyuAwAAmA6PwNY4eI9n1EJONGuWKuvWlSmmOeYTTv8nXQHLVe8p6V+He3Vk7CrF/qK6oX3brHq8H3C0zXVjTdtyFNUBwKyFdB0AAAAAQMWyHFy3WHKUPhIAAIAK0+616IdZv1xet47Qi7E0znVXne7yW656S07+X6QP+boKMKirt4xXVOdl+SsCDZf56x0MrnUDwCyGjzAAAAAAgIplna7D4DoAHUyLhQAAIABJREFUAIBpm+cWPE5GFEct9DXrMVXfvLlMMc09n3IHT3TkZE2JiGhzJvH74X7DRM5utjJM8/lU9KbBfTvyF9UxRB+2u39Q3bJMcpYyNgCAYuDLHQAAAAAAABSFSZR7dcPBck2CVJZ4AAAAKgnPMvM8Yq9XHhwctbxhubJ2rf3oo8sU1hzDEH3OW6OT+a9ULHftS+mYxDCf9daUPjCYph5VuT/av0fNjLFNFSdc6qtdghvRAKBSoLoOAAAAAKAydVkPrrNhcB0AAEBBjPTDZEZ/s9YvU//xNKVSZYpp7mGILvHWfsjutlz7bCr6l9ig5SqYmQyiDcnIzaF9Y+TqGKITHd4fVLciVwcAlQTpOgAAAACAyrRNsbhSuFjE4DoAAIDCqLZxtS7OPjpfIDgMZ5P67LPlCWluYoj+n7f28DztEP+RHF6XCJc4JJiaHk35ydC+h2JDav4uplUc//VA48XeGonBTWgAUFGQrgMAAAAAqEw7FItbkhdLuAcZAACgYBZ6RW/O6LSG5crateWIZg7jGeZyf/2iPLVWa+KhJxKREocEk7K/qG5oX4cq59tmpKju+mDrUgn3nwFABUK6DgAAAACgAhmmaTG4jmEbOLEs8QAAAFSkBR7R72XY0RfYggvVLduN/v4yxTRXCQxzZaBhYZ6M3UPxoRdS0RKHBBPUrck/Geocu6guyAlXVTVd7K2xsbigDQCVCZ9uAAAAAAAVqEdXkjmD6xZJDhZdgwAAAApH4pgWD+/OmpvGUO2hyrp15QlpLpMY9spAQ6tgy11lEv0xNrgxHS99VDAGncwNycjNQ50d+SfVsQxzosN7fXXLYkyqA4CKhnQdAAAAAEAF2iZnl9YRUbtocfUKAAAApqPdsh/mkcqjj+atE4LisTPsVwMNDYJFOwHDNO8b7tuUSZQ+KrDUpe4vqtPyF9VVc8I390+qw3VsAKhw+JgDAAAAAKhA25RU7sLFIuZ8AAAAFFijg6/2soIwaqHdZyRY/Z13yhTT3OZmua/5G4OckLvKJLpvuO9tOVn6qOBgI0V1Pw517ss/qe79orrWdhTVAcDcgHQdAAAAAEClMUxzp5LdUMjBsI08BtcBAAAUGMMw7V7R48leXr9ceeyxcgQERH6Ov7qqqcoqY6eZ5q8ivdtzRvxCyXRp8s2D4xTV1fPitVVNF3trRDRyB4A5A+k6AAAAAIBK06VZDK5bjMF1AAAAxdHuFf3+7C/ZmiXKk8+YilKWiIACHP/1QIOX5XNXqab5y3DP3vzD0qBINDIfig39z+C+Li1/UR3R6U7/94MtbVYzCAEAKhjSdQAAAAAAlcbyhvFF6CMEAABQHC6BbfXx9tHftCxPzlbln/8sU0xAVMuLX69qcLJc7qqMadwe7hmjEyMU3C4l/T+D+zYkI2MMdWzgxe8EW1Z6ggJuMgOAuQfpOgAAAACASrNNthhch3QdAABA8bR7Ra83e2HDcmXt2nJEA+9r5KVvVjU6rDJ2KUO/I9zdq6H+sehU03woNvTzUNcYf+2RorrvBVtaBamUsQEAzBxI1wEAAAAAVBSTaFdOcycHwzZgcB0AAEDRtLr4ah+TVRHkrtPf2qWHw2WKCYiIqImXvhposLEWV0Hjhn57uHtIV0sf1dyxW83cNNQxdlFdIy99J9iMojoAmOOQrgMAAAAAqCj71Ezu4LolGFwHAABQTCzDtPtFlyt7ec1h8hNPlCMgOMh8wfYVfwNPFsdCEV27JdQVQsauCA4U1fVref+8HDGnO/3fCza3YlIdAMx5SNcBAAAAAFQU68F1EjphAgAAFNcin0U/zPpl6rrHyxENjLZEtF8eqOesMnZhXbs93BPLudsJpmOnkv7hYMeGZMQw85bVNQvSd4PNKz1BHneVAQAgXQcAAAAAUGF2KNmdMAmD6wAAAIrPL3GtQY7nRy3kJTNM6s6dZYoJDrJMcv6nv84yL9SvKbeHu1OmUeqYKpFimg/Fhm4Jdw/kr1kcKar7brC5GZPqAADeh3QdAAAAAEDlMIl25FTXOVmunsPgOgAAgKJb5BM9nuyFDcuVdevKEQ3kONLm+ndfrWWH8C5VviPULecvBYOJ2KGkRybVjVFUN0+w/XewZaUnaFnsCAAwZyFdBwAAAABQOTrUTCqnldMi0Y7BdQAAACUw3yMGfNnfuf5W9ckXDB2tFmeG4+yeizzVlqv2qJnbQl0yauymJGMaq6MDt4S6BvJPquOJWekJXhtsbhBwJxkAQDak6wAAAAAAKsd22WJw3RLJUfpIAAAA5iCRZZZUC1JWez+G7K3KK6+UJyTItcLh/XSejN1uNXNPpFdFjd0kvSMnbxzseD4VHeMPt0C0X1fdcrrTj5vIAAAsIV0HAAAAAFA5tud0wiQMrgMAACihdq/o9WYvbFyuPIZ+mDPJKU7fWa6A5aqtcure4T5U2E1Q2jRWRwfuDPeEdS3fNgLDrPQEr6lqquNRVAcAkBc//iYAAAAAADAbmES71EzWQjfL1ePKCAAAQKnUOviGADs4OGp0l+gy3tyrxeO8212+yGC0f3NXaWQ+kYjkrnojk/i/SO9l/nrUgY3tHTl1/3D/sJE3UUdEC0Tbv3vranmhZFEBAMxSqK4DAAAAAKgQ+1Q5d3Bdu2jHlSYAAICSYYgOrRadzuzl1YfK//hHOQKC/Fa6gyc4cmohiYjo9Uzi/mg/emLmkzL01dGBO8LdY+TqRIZZ6Ql+K9CEXB0AwESgug4AAAAAoEK8J6dyF6ITJgAAQIm1+ySvJ5NIjFoYXKStf8o47zzcOj+DMESf81TLprExHc9d+2IqJhH7Ga/1lLu5bIucXB0diOTvfklEC0X7pd6aWvR4AACYMKTrAAAAAAAqhOXguiWSo/SRAAAAzGV2jllSJ/T1q/pBRe8sZw6S2tUlNTWVLzLIwTLMF311umluyiRy1z6TGnaw7LnuqtIHNjMlDf3v8dDzqegY24gMc7a76lSHj2XQ4gEAYBJwRw8AAAAAQCUwiHbmpOs8HF+Hm5oBAABKbklAzB1T13iksm5dOaKBMTFEX/TVHSblNDAlIqLHEuH1iXCJQ5qZ3swkfji0b+xc3SGS44bq1tOdfuTqAAAmC+k6AAAAAIBKsE/NZEwja+EiDK4DAAAoh2aXEPRmX3ZzVOlPb9RMzEObeXiG+bK/Pl8L8b/HQ08mIyUOaUaJ6dqqSO/dkd7h/A0wbQx7sbfma4HGKg6T6gAApgLpOgAAAACASmDZCbNdsJU+EgAAAGCIljeKYk6Ju9CobN5cjoBgPALDXBFoaMtz7PRgbOiFMavKKtimTOKHQ/ssm4UecKjkvKG69USHFzeKAQBMGdJ1AAAAAACV4D05lbtwkYjBdQAAAOWx2C96PdkLaw9V1z1ejmhgAmwM+/VAQ4sg5a4yiVZHB15Nx0sfVRnFDf1Xkd5Vkd64oefbxs6wF3trvhpo8HN8KWMDAKg8SNcBAAAAAMx6BtEuJZO10MPx9QIG1wEAAJSHR2DbgtkJDE403+xWMtlf2jBTOFjua4HGBqsjKJPot8P9b8nJ0kdVFpsyiRsGOzaPWVR3mOS8oQZFdQAAhYF0HQAAAADArNdhNbhuMQbXAQAAlNUR9aIjp9C9aqny7LNlCAYmyM1yX/M3Bq0GsOlk/jrS+45VS4NKEnu/qC6Rv6jOwXIjRXU+FkV1AACFgXQdAAAAAMCsZz24TrSXPhIAAAA4YJ5b8Huyb57xNmkbns+bBYGZwM/xV1c1VVll7DTT/FWkx/LQqzJMpKjucMl5fbDlRIe3ZFEBAMwFSNcBAAAAAMx622WLa0aLka4DAAAoK55lljUIbM7lt35TGRgoR0AwYQGO/3qgwcNyuasU0/xluKdDlUsfVVFFDe3uSM+qSG8yf1Gdk+Uu9tZciUl1AABFgHQdAAAAAMDsZhDtULKbMnk4vpbH4DoAAIAyO7RadLmyF9Ydrq5/vBzRwGTU8uI3qhodjMXl04xp3Bbu7qygjN2mTOKGgY43M2NN5ltmQ1EdAEARIV0HAAAAADC77VUysmlmLVwk2DC4DgAAoOyq7Xy9J7tCS3AYz72lliUemJRGXvp6VaPEWBxVpQz9jkhPr6aUPqrCCunqbeHuVZHeVM4g5AM8HH+5v/4Kf4MPRXUAAEWDdB0AAAAAwOy2Lae0jogWS47SRwIAAAC5jp0vCjlD0JhaZevWckQDk9Qm2L5R1SRZ1djFdO22UHdI10ofVUGYRM+nojcOdmyVLQ4mDzja5vpBsOUoW06VKAAAFBTSdQAAAAAAs9sOJZO7cLGIdB0AAMCM0O4VPa7s8qzgQnXtk3mLmWBGmS/YvuKv58mixm7Y0G4NdQ3PwozdkKbeHu5eHR3IbdJwgJvlLvfXX+avd1nN8AMAgMJCug4AAAAAYBYziHbmVNd5Wb6Wz7mNHwAAAMpB4pj26pwWggxt6VVUdMScJZZKjsv89ZYXUgd19ZZQV9zQSx3TVI0U1d0U2jduUd2N1a0oqgMAKBmk6wAAAAAAZrE9StpicJ1kL0swAAAAYOmYVtFmy17oW6z868VyRANTcoTN+Z/+esvZwAO6elu4e4zZbzPHkK7eGupaHR3IGPkn1bHcV/z1l/nrnSiqAwAoIaTrAGBCUqnUWWeddeb7Nm7cWO6IAAAAgIhom5LOXbhIRLoOAABgBml08AFX9lU4u8/Y8OLsa6I4lx1lc13qrbXM2HWp8h2h7jEaS5bd/qK6oX2WR48HHG1z3VjTthxFdQAAJZdTiQ8AYOWpp55av379gR+vvPLKMgYDAAAAB+ywuuCyRMLgOgAAgBmEYZhjWsVHQpmsbE6foQwP8z5fmcKCyTve4ZHJeCA6mLtqj5q5Pdz19UCjxMy4AolBXf39cL/lceMBXpb/vK9mmeQsWVQAAHCwGfflAQAz0yOPPFLuEAAAACCbTuYuJZO10MvyNRwG1wEAAMwsy+pEpzO7Liu4WHn8qZlbjwWWPu7w/Zu7ynLVLiVzT6RXnUk1doZpPp+K3jS4b4xcHUP0Ybv7B9UtyNUBAJQR0nUAML5MJvPQQw+VOwoAAADItleR5ZwpKYsxuA4AAGDmcQlskzu7zRXL0z/fU8oSD0zHWa7Ama6A5aqtcure4b4ZMsWuR1V+GupaHR3IPWI8oIoTvlHV9EVfHSbVAQCUF9J1ADC+v/71r5FIpNxRAAAAQLbtGFwHAAAwe3xskcjlJESMoLJrVzmigek5z111qtNvueqNTOL3w/1GWWvsDKINycjNoX171exODAcwRCc6vD+obl2Co0cAgBkAs+sAYBy6rv/85z8vdxQAAABgYZuSyl2IdB0AAMDMNN/Hex1MOD4qi+Ou09c9p391AQqbZp/zPUHZNJ5PRXNXvZyOsUSX+mqz+5+WRI+m/G64r0OVx9imiuMv9dZi4DEAwMyBdB0AjOOOO+7YsmVLuaMAAACAbJpp7rYaXFfLi2WJBwAAAMbGMcySauHFeHb3yy39smE4WPTAmm0Yos96qtOm8Wo6nrv2xXTMxrIXeapLGZJB9GQy8mg8NMb8PIboBIf3fHfQhtccAMBMgnQdAIzlwQcf/Pa3v13uKAAAAMDCXjWTO4ZkCQbXAQAAzGAnLJY2dSvy6Kon93x142v0kWPLFBNMA8swX/LV6ab5eiaRu/bp5LCT5c7OM+Wu4Lo1+ffDAx35u18SUZATLvXVLkYzBgCAmQfpOgCwNjw8fOONN951112appU7FgAAALCAwXUAAACzTkDiFvqFaMbgOUbRzOG0kVJMXjI3vKp+5Fih3NHBVDBEX/LVyZGed2SLLuWPxkMCw5yeZ8pdoehkPpUcfiQe0vIX1bEM8zG75wJPUGJQVAcAMBMhXQcAo4RCoX/+859/+9vf1qxZE49bNHMAAACAGSJPug4DSAAAAGa0Sz/iPPhH06S0avYOGbJMklSuoGBaeIb5sr9hfSIsMEw1J7hYjiESWVYg1smyNoY1iIqXIutU5fuj/fvGnFRXzQn/7qttx31dAAAzGNJ1AHPdjh07Xnzxxe3bt2/fvn3z5s27du0qd0QwFo3MlGFkTMPJsE4Wo8hhEuKGnjB01TRtDBPgBJ4py8hzKLykoUsMiyd09jLI3KVk9qqZIV2N67qNZd0s18xLiyWHe8zPeZPoNKf/WJu7X1d2K5ndakYzTR/H1/C4MR8AAGBGk3WzP60Ny3paN02TbBzjEdmaal6a5He4YVJGNxTdFDnGxrEsjgfLSmSYf3NXZTLU2UkOB9XWEs+TQTSgKV2arJoGEflZoUEQbQxrEg3rGkfk4T64NhvK6N1JNSzrGd1UDVNgGY/ABm18k4t38NbJvpGiujWxkE5jTar7uNP3KXdQxCnD7GSaJMvEcSQIRESJBEWjlEwSz1NrK3G4MgRQQZCuA5jr7r777ttuu63cUUBemmn2akrK1DXTtDNcHS96WM5DXKcqPxgf2iqnFon2U5y+FsE2sv2grm7OJLbLqS5NSRm6QeRk2XpeXCDYj7S5mgTcq1lpFNN8JR3bnElsV9I9mpwyDJPMo2zuy/31bYItomvPpIZfTcfflZMxQz/wKJ5hmnlpuc11osO7zOZCJ5TZZZ8qv5CKvikn9iqZQV0dWWhn2CZBOkRyHmt3H2tzZ2XvhnR1h5LuVuW0aZhEdoZtFKR20V7NIa9TTlvk5GOJ8L9S0cRBb08isjHsWa5AgBdG0nUDmho3dB/HBTiBIdJMs1uTI7qmkyky7DzR9hHezRKTMY3XM4kQWlgDAADMMKZJfX1UV0eKYb4Tlt+JyD0p9eCGhX6JO7bG3uBkiEg1zKGMHpF1RTdNIoFlfCJbbeclbv/RnWHS7piyM6Z0JdSwrBvv74dlyC9xTU5hgVdc4BE55GVKa+tW+sMf6I036AtfoAsuoAzpT6aiz6WiW+REyhg1aZghmifYjrV7TnX55wu2IV3dpaSX21w8MVsj8ov9KcMq79bsEpZV2Q71SwcnZbs0+beR/i5trKK6el78gq+27f0rBlBUoRC9+y719VEySU4nVVfT0qVUW0umSRs30tq11N5O55xDfj+ZRDFFVwxy8sxILjajm+GMHlcNk0wiqrHzPpFjGTKI9qqZPXq6T1aThs4y5GX5Br+4pM5RxQmyTJs3k9tNixeX+z8PAIWAdB0AwEy0W808lYi8lonvVjJZd8nV8+Jym2uFw/d5b41imq+k4y6WM4heSEUfig9uySTz3lNH1C7az3VXneEMoBCnAoR09c+xwfWJ8MEX+jlivuyvP99T3aPJPx7a93Rq2HJ0gWaae9TMHjXzcHyoSZAu9tSc5gogaTfzvZKOrY4ObJGTuavSprFDSe9Q0mviQz6O/5Q7eL476GC5V9KxuyM9nXka4zQJ0skO3yddVajHKrEdSvqucPdbOU8lQ/RJV9WXfHU+jn8zk/hZrDNlGJd6axeItl5NuT/a/0o6tl1OZ30vSAx7uOQ83uE5xenz2HF4DwAAMCNkMiRJtH49HXkk1dSZLw+kX+lPZ/RRX+I2jjmpwbm8yqaa5rsR+d2w3J1U9Zzjd4ahWjt/iF86LCA5eFY3aXdMiSmjkkCGSaGMHsrob4YyDp49psb+oWqbgIK74tu8mf77v2n9ejrnHHrgAeJdxm9jAw/Hh5Kj78c6wCTarWZ2q5kHYgNH29z/4av7sN3zQiqaNoxT6/3NLuHve2NpLftF0JlQOxPqP3uTJzc6F/skk+jReGhdIjzG6T9LdKrTf467SsDpf5Ft3Uq/+x09+iht3WqxdsECuvBCuvpquukm0gxzW1R5erdsmHRSg6PGzodl/dWB1M6oPJjZ/4JpcgmnN7sCErdDSa9NhJ5LRqOG9Q15bYLtE07/J48M+Dj++eeprY1aWor3vwSAUmDM/ANIAWAuuOqqq6ZQXbd27dpPfvKTxYgniyRJiqIcvOTcc89ds2ZNCX51ubwlJ3873PdGJjHulvW8eIm39nRXQDONHw11Pp8anuCvqOPFrwYaj7d7phcplI1J9FB86DeR3rQ56hTdxXLXB1s/ZHf/OTbw2+E+ZTJf8Uskx3XB1gZeLHSwUBghXf15qPOV9CRGigY4/huBphMc3kfioTsj3WPMnOcZ5pOuwJd89WO3XoRC+XNscFWk18hpWORkueuCrR+2u19Lx1cN9+5SMl/x15/vqe5U5d8M976Qio77lpYY9mxX4FJfrYdF0g4AAKBs3n6b2tooEqF77qHvfY80QX9wd+zAtfgDau38+fM9ToF9dSD9ykAqN0OTS2CZo4K24+scJtGavfE9MWWMjT0ie1aLu82Nu7KKRdfpuuvoZz8jXadrr6Wbb6a31eT/DHYcaIAxEQzR+Z7qL/vrdyrptfHQFYHGjGL+dXcslPOCOWBZle30ZlefLv8y3BvK87saePHfUVRXfO+9R9deS48+SmOcfB93HD30EFXX0qsD6Y0D6ZRmnFjvOL7OEZH1Z3uS24eVgx96bI394w3Obk3+ZaTn5XRsIjHYGPZ8T/Dz3trhfva992jFimn+nwCgnJCuA5jrkK6bORTTvCPcNfb9cbmWSo7rg60elv/RUMeLEzuYG/EZT81/+utRUDXryKbxs1Dn08ns7Kyb5e6sW1jHi5ZrJ8LDcjdUtx1pcxUiTCik7Ur6vwf2TOq0fwRDdIm39gu+us2ZxHcGdqtjHvX5Of7G6rbDJec0IoVxqKZ5a7hrfSKcu6qBF2+umVfPS7eGux5PhJ0sd32w9Ri7+4HYwH3DfWNkW3N5WO7aYAvuyQAAACg9VaXVq+mSS+jVV+lXv6L77qOulPrwHotiqUU+8ZxWd1I1HtwTH0xPrpe1W2A/Nc9T7+Cf7km+OpAeY0uWoVManUdX2yf9P4HxxGL0uc/RY48REf3v/9LVV9O6RPjWcNekDtsOOMrmuqG6TTaNn4Y6rwk02wzu99uHk6qRb/sml7BynjtO2k9CnVnNNlFUVzK33krf+Q4pYyXN6ZJLaNUqSpD+8J5YKKMLLHN2q3uxT9w0mH66O6Uf9GrhGDq92bWsyvZEMnJLqHNSd98SUSMv/aimrVa3bdhA555LePIBZimk6wDmumeeeeb1118fY4NwOHzzzTdnLUS6ruBCunr94N535dQUHuvj+Bur2w6TnD8PdT5udRU4n+PsnuurW20McnazRtzQv92/+z0l+3XCM8zPauYvlRxX9++a2qvowH6+H2xZ4fBNL0wopFfSsR8Mdshm3nP1ca1w+K6rbnkyEflJqHPsLXmG+Wag6UxXYMq/C8ZgEt001PGMVTa9jhfvqWvXyRz5InCw7J217U2C9LNQ5z+SkSn8LoboS776z3lrcJ4OAABQMqEQXX893XILPfMMXX89Pf00DTPqAzujuc0tF/uk8+a5OxPWmbyJ4FnmzGbXoQHpuZ7US/3jHP8fU2M/pRG3ZBVSPE4nnkhvvEFE9MUv0m9+Q3+KDayK9E5nny2CdFdde48m/2+o89bahdG0+ccdUT3/ZdtaO//5Rd6davqOcM+Btg1NgnSpt6YVRXVFpij0la/QffeNs9kVV9Bdd9GumPLI3rismxxDn1nobXQKT3Ql3hjKZG18Tqv7kIB0f7T/d8N9U4vKwbLfD7YeZ/P85S900UVT2wcAlBnSdQAwjo6Ojra2tqyFSNcV1qCuXtm3Y0CbdOnMATzD3FjddozN/c3+XW9bzbXK5wSH94bqNuTrZgWdzGv792zKWLRD/Eag8Vx38IbBvc+notP8LRLD3la3YInomOZ+oCB2q5mv9u3IumF2Cj7jqbncX39PpOcvscFxN/5qoHGlOzjN3wi5fjvcd3+0P3e5g2XvrGsPsPx/9e3o1RSG6H9q5h1jc39rYNdbmUl8nuf6lDv4tUDjdPYAAAAAExQO08qV9MADFA7TGWfQ88+Tr0H//bZoWss+kBvJsvQktT/vihrTuyZ3ZotrWZXtod2xHdExC3yITmt2HRVECqcwDIPOO48efZSI6KMfpaefpo1a9PrBvdO/wHq0zf3T2nnPJqNPJiM317S9MSg/0TXWmIylfunf2tzrE+G/x0McMZ9w+s51V2FQfbHpOp17Lq1bN85mp55K69bRjrj8SEd85Or7WS2uw6tsD+6O7cx5wx5Xaz+pwXlXuPvB+NB0YmOJublm3jJyP/MMnXXWdPYEAOWBK7QAAGUmm8b3B/ZMJ1dHRJpp/mioo0uTf1jdVsNPYjjBC6no76d66xaU2F3hHstc3TF297+5g/dH+6efqyMi2TSuG9gb0SfXkAeKIWpo3x/YM/1cHRE9EBt4Ihm5zF8/fwJ32t4V7n5lMp11YSJeTsf+YJWrI6LvVrU089J1g3t7NYWI/sNXf7zdc0u4a5q5OiJ6OD60Jh6a5k4AAABgXJpGn/40fetbZLPROefQtddSSys9tDuem6uz88z58z0J1Xh4T2yauToieqIz0ZVQz2lzV9nGmUD8VFdiX2Jap5xwwPXX78/VSRLddx/1Mpmbh/YVpBhiUyb+60jvKU6fwDAPRAePrLbVOcYaSLw1Ir8+lDnN5T/S5vpusHmlJ4hcXQlcc834ubqFC+nPf6ZBRXtsX2IkV/ehavuyKtuz3cncXN18j3hig3NtIjTNXB0RGWT+aKgjxMtHHEFdXdPcGQCUAdJ1AABl9tNQ5w5lrHkDE5QyjO8P7BEY5uuBpkk98A/R/ulfFIZiey0T/7vVsTtDdKW/cbea+cOwdSZgCoZ09e5IT6H2BlN2d7inTxvnRumJuyPcPaxrV06g1sok+vFQ5zBStoWjmubt4W7LizinOH0fc3jvjHSPFEYvkRyf8db8LTa4YTKdjcdwV6R7y2RKrgEAAGAKvv1t4jg6+2z6/veJiC6/nF4dTA9YTaRb0eB0CsyDu2OZ3BaZk6eb9PCeuGqYpzePM3/aMGndvoQ2/QzhnLdlC/30p/v//ZWv0KJF9ItwV3oajeuzPBgb2q6wgz5AAAAgAElEQVSkv+yvXx0dCOvqifXjdD15viepaHS5v75ZkAoVA4xh9Wq69dbxN/v1r0lyGw/ujo286XwSt6LBsTUiv5IzbFJgmdOanTuV9O3h7oJEGDf06wf31jaY77xTkP0BQEkhXQcAUE7/SkUt5xhNTa+m3Dfcd7zdc5RtnLO1g5lEd0asryPDDGES3R22zp+d4PC2CNJvIr06FfI5/EcysrMQWWSYsp1K+skpDS3LJ2no90f7j7S5DpPGn1wSNbR7h6c1ewMOtiEZtsy88gxzma/+bTm59v0auP/yNwxqyr2FK3rWTPOWUJeG7vcAAABFs2kT3XEHffe7tGsXrVpFV11FJmu+0m9xLF1l45ZV2V7pTw9l9EL99pRmPNudbHEJC73i2FsOy/rmnHFZMFnXX0+aRkTE83T11bQxHS/sza8Gmb8Z7m3kpeMc7j/HBud7xOCYpZMZ3XxtMI2SutKIROiqq8bf7Oyz6eST6dmeVELdn8c9sd6hmfRkl8VLZXnQ5hO528KFPGLfo2YejA+dcgpt21aoXQJAiSBdBwBQNgbR/xW6EeWjiVCvpnzeWzupR+1U0i+h990M9nI6tke1PrU+x1XVqcoFf/pMookMOYPi+XNssOAJlvWJ8LCuneuumsjGjycivYWr7ZvjHs7T1uZkh6+GF+8b7ht5rg+TnIdLzj9E++XC3aBNRB1qprCpXwAAADjY9dfTggW0YgXdfjuxLH32s/RuRE7ltMEkomNr7Ipubswpr5mmtyNyWNY/UmMfd8uNA2ncwzMdu3fTmjX7/33GGdTURH+NF/6kaWM63qFmznJVPZ4Iq6Z5WGCcbvZvhjIomyyN22+nwQk84ddeS2FZ3xLafwrvE7mlPmnTYDr3Y4EhOqbavjEdf1dOFTbUB2IDGmf0YfIJwGyDdB0AQNm8mo535MnBTJlmmg/Fh5bbXA38ODdXZlmL+UYz2Po8bfG8LH+U3bUhGS7G2dnzqWhBpqbBFKQM/YVCTCLMoprmP1LDJzi84gRmWuhkPoKPhULoUDO7FeuP+jNdgd1qZnMmMfLjJ12BmKE9UYTUGrLvAAAARbJ9O61fT5/+NKkq/elPdOKJVFVFWyNy7pYCyyz1SW+H5YK0wTyYadKmwUyTS/BL40ywi6vGXkywm4bVq+lAvvOCCyikq6+nE8X4RU8mI8ttLobotUx8vmec4fQJ1ehM4mktOlWle+4Zf7MlS+hjH6PXBtIH3ueHBSST6PVBizOCVrfgEdk10x5Zl2tY155JDi9bRjinB5hdkK4DACibJ5OFGU2U5alkxCRzhdM3qUe9mokXsOE+FJBmmq+m45arjrA5WWI25lk7TbJpvCkX5eQTxrUpkyhsfdUBL6diNoY9ZAL9MIno6RRKsgpgU8b6feRl+WU211OJ/X9kjpgTHN5nklG1CDe971UzBRmSCgAAAFlG8jcnn0yvvkpDQ3TSSaQZZlfSYmpdm1sQOebdSFHaUW6NyCbRovH6YRLR7hjaJ0zdhg0f/PvjH6dNmYRR0JEEB2xMx1mi5TbX5kyixs7buHFutuuII11XdE8+SQMD4292/vlkmLR1+IOc/WKfuDeuJK0qbtu9YsLQN2aKckb/dGrY76c9e4qxbwAoFr7cAQDAnPP000//+Mc/nuDGmmZxnlMZDKJ8OZhpGta17Ur6SJvrj9EJHEu+TzPNtzPJZkH602QeBcX2KU8wZRiZPJmbRaJDNo3iDZl7R05+xO65K9yNwVclIzLMFYHGLXIhB2AcbIucNIiWio438uSQDjagqZ2qnDaNx1BmNyVulvsPf32+PNkRNidL9Nr7J+ftkt3JchuL1pd4YzreLo7fIwsAAAAm5YkniIiOOoruvZeI6PDDaSija1atCVtcgqybPaminOGmNKM/pbW6hVfG67TZmVCJ6P5n0tt6CjY/by5YcZh48mHia6/t/zEQoJYWejhc4AaGB+xSMoppLhTtb2aSRFRl47qtcsAHDKY1IrprXao3gntwC88pMd+9wDnyZh/Xxz9OfSktre3/EHDwbLWdfytsfX7X7BLekpNFOt3ekkmqpplIYLIhwGyCdB0AlFpvb+9TTz015Ye/+eabl19+eQHjmZrjjz/+kksuYdmp1yh3q3LMKNYJ0rty6pRJVtcR0V41c5jN+R4qMGYSF8ttzd/FvkmQulS5eJm0farMEIV0DTPMSqZFkIhon2rRQKkgZNMY0JRmQZrg9juU9FLJgY+FqVko2omoR7N+NheIdtU0d73fJ3OhYCei95RiXfTZWrQ9AwAAzFmaRq+/TjU15PXS9u1ERPPm0bBsfZZXY+f700W8C64vrS3wjF9dF87oROQPkhat2Ftji8HnEzs6SH7/sG7hQiKirjyHedNnkNmjyY28tEGLEJFHHCddN6wYROQOmJ0KntbCC1bzDNGBZO3YjjiC9qY+KHastnNE1Gv19DEMVdm49bFinWrJptGpyoIwzuxDAJhRkK4DgFmmo6Nj1apV5Y6CVq1a1d3d/b3vfW/Ke+gs2pE9EXWqspfl3SwXn0xGsE9T7AwrMWyRuvDBFLhZLqznPePysNywUcTzsaiuEZGLHWcGBhTQyF87ohexm01Y17zcRI8AuzX5BIe3eMFUNhvDElEyz7yIBl7s1ZQDDZQaBTFl6GO836epq2g5YAAAgDmro4MUhQIBIqLBQSIij4eGrUrriMgrsUXtWBjJ6O4qlmMYfcyUoGKYmmE6RBTcTI5dZMLdH/zo8xERxYp25EZEMV13s1zS1IlIZMd5vmTdICJJwNNaFFVOloh27Bh/S5+PgkHa3PXBdRi/yBFRxCqL7xZYjmF6inmU3q3JbW6k6wBmE8yuAwCYojVr1kzn4UU9so8aGhG5J5llGZldN3J9GWYIkWHzdcIkIpFhijHm6gDZNImIZ3DWVzoCw9D7f/kikU1j4m/zhKELDIPXwNSM/Vdzslz8oHS7i+WKV3JN738vAAAAQAFFIkREkkRE++uuWJbyzTKTWFbWi3iMl9FNIpLGG3JGRJpJwgQ2g4NxDCkHNRwRRSIirTiD60YoZPAMwxFDeV9TH2BGNsMEg+Kw8Qy9/34f20ge90AnTHr/LZnRLU7qR7KwyWLeLZ00dBuydQCzCq7JAgBM0RFHHDGdhxc1yzKyc2GSibeRK/JFPeWAyVJNU8yfKUmbhlTM9KqdZYkI1ZalNPLmlYqZHpPGzAFnGfk4wOWcqRn5OzvzvEk5Yg7OzgnEFHVIZFG/dAAAAOYmVSUiSqWIiJxOIqJ4nMQ8mTCGoTx1d4Uxsu/xqrCIiASWFA0HBpOj6ORyffBjIkFEZGeK2IbEyXBp0xjpvWGZ7DmYbSQnpOJpLQqWZUyT9AncWScIRDTqnT5yYlfU9/4YTCIOvXIAZhU0wwSAWcbhcNTV1ZU3BpvNdtxxx/385z+f1k6mMfduXHaGJaK0OblCDQ/LGUSZPH3boCyShu7P37cwomtLRUfxfnuQE4goNpHzEiiQhKETUYATiIo1wyDA8R1qZoIbu1hOM01keqYmpKtEVC9Ib8kWs+XTpuFn+IN/tBfze8GBymkAAIBCc7uJiPr7iYgaG4mI9u2jZW3WV8cV3ZxI6duUjex83AI+O89wDJMo4vzryhTPGIc2f/BjTw8RUTUnFO831vDC9lS6kReJaFge5yTdL3FEFErhXL4oFM1kGHK5KBYbZ8uRPO7BOXvVMEeW5L43FcOk/Pf2FQQGWwDMOkjXAUCpiaLo9/snuHEkp93AJz7xiWl2oZwhin1kb5AZmWS/zSZeiuhqUfOIMFlDutrC5+1e0anKH3f4RIZRipNNaRNsmmnKpuHEUX6pJAzDJGoRpJeLk62zMWwNL+6b8ICEBl6MGBpeAFOjmGbGNBYKtg1Wa4d09SjbBzdph3TNz/FC0Trc1vBiMXYLAAAwl7W0EBHFYtTTQ4ccQkT07rt0ymkca1VIF1cNr1jEUy2vyGZ0Ux2viqfKxhPRYNQgDQ0UJmEganxsATU07E/U7dlDikLzRNuzqaL8Og/LVXFCp5pZLDl00wxbTT47WJ2DV3UzHDXIwNNaeNGESUQtLfT22+NsOThIikJu4YN3elw1iMgjsIM5d8EmVEM3qb6YR+mNvCQU8coTABQe0nUAUGoXXnjhhRdeOMGNJUlSDu4QX0HaBBszgR70U9Mq2Po0dbLXfJdKjipO+EXt/OIEBVMkm0a+K/jvyimeYQ6RnG9kEsX41UfYnDzD/C9eEiV3mOT8Cw0WZc82J0v0njLR6woLRHs1Pham5yi7m6wGXexVMm43F+SEIV0log41wxLTLEi7lYnWPk7KPAFjKwAAAArM46HWVurooJdeohNOICJ67jm6+mqmzsH3JLNvnRzKaAs8RbwuX23nh9Lj36/Z4hKI6D9PdBYvkgp20kn0pz8REakqvfIKLT/WNd4jpugIm4uI3pZTXws09iQ1bbwsbJtbEDjm5pXeIsUDRLRs2fjpOk2jnTupuuGDmx1DGZ2Iqu38YCY7XWeYFM5o7aK90JHuJzFssyAJuGcPYFZBCQUAQHn4OL6laBdPl9tcb1v1XhtDLS+24mLujCQx7HKb9Xng23IyYxofcxTlrCzA8UulInbahDEcbXMVaSrhcXZP2jTendjnQ4Dj2/CxMG3zBZvln3GLnCSiA+/ud+SkSbRcKtZFn+U2XJUDAAAovJNOIiJ64glasoSWLqVnnqFkkpb6pNwtOxOqS2ADUlGaFvAs0+jgO5PquFsuLGbKsOKtXPnBvx9/nA6VHFXF6ZpzksMb0bWkoS2VHNuj49zBHJC4OgfqMYpuxYoJbfavf+1Pio8IZfSUZrS4rV8n+xLaMpuLK86s8MMlp1DMmegAUAxI1wEAlM0JxcmyLBEd1Zzwajo+qUd9wukrRjBQEKc7A5bLZdN4PhU9xeErRmrnNGegSKcNMC4Hy51UhM8HkWFOdvheSEUn2D11hcOHV0BBnOeuyl24T830acqK95/osK7tUtInFud7QWSYD9s9xdgzAADAHHfBBUREf/sbyTJ98YuUSNBDD9FhAZvIZh9G7YmphklL/RaZvOlr94o8y+yMjpOuC9q4BifyOlN3zjlUV7f/33/8IzEGc4ZropM+Js7L8h9zeP+RjHzKU60b5jvhcfrYf6i6WOVZcLDzzqOJNJZcv54cPNt8UMZud0xd5M39SCAi2hmV3Sx3jN1duDA/cLLTZ2CaIcBsg3QdAEDZnOHys0VIh5zlCqRN45+p6MQfIjDMee5gwSOBQjnJ4a3L09H+7/EhH8ef5bLO502ZxLAXePCSKKeLPDUF/3Q401Xl4/hH4qGJbMwQnWuVZIIpONNVVcNnn9ybRE8mIx+2ew6MMn0yGVlmczULhb+Kt8Lhw5x5AACAYjjjDGppoXCY/vhHuvxyCgToF78gG8ccVZ1dW5/UjD1xZVmVzfKq/TQdGbRFZL17vOq642rRPOP/Z+++A6Oo1oePz5bUTe8kkEILRaVcBCEgLRRpUakqgoAidn9iQZFyUWxckasooF5BBJHipUVQMYIgiNKlirRASEJ6L5vN7vsH9/rm7m6SzZY5m+z385eenTnzZA4z88w+s2ds4uEhzZz5n/++ckXaulUa4xvqae9HJ8f6haoVir3lRcN9gn7PqyzT1VVy8XdX3RbskBowjISGSvfcU/9iO3ZIeXlS5+D/fwY4lVfhrVa29TczTFdKqoqr9Gaf7bORv1LdTxOg5It/oLHhqAUAYaLUHv01dv4hRajKbahP0I6SvApDAx6jusc3JMQxk3jALtQKxfSAZmY/OltZ9lt58eSAcD+7fhd/v3+Yg+Z1gYVaunsOtWsV1kepmuwffrii+LRlM2EO0AQyQa69uCsUTwdGmbZvLc7VS9J9/mE3/3dnSV65Xv+AX5h9t66UFPf727lPAABwk5ub9NJLkiRJb74peXhICxdKx49LGzdKvSK8/dyNv3M7lFXu7668NcjOKVa0j1u0j9tvWeV1L9bMW90hiLqOrZ56SoqP/89/L1gg+UrqyQHhduw/Uu0+1i/0u5L8CX6hkl6xP7Oed04PbqFRO6ICDHNeeUWqtwBWWSktXy61D/QI+O/Mt1eKq7LKdT0jvEzHyWCQfssq7+7lZ/f3UEzwD/VyzOsVADgUxy0AiDQ9oJl9n8V7NDCyWjKsK8yyfJVmavfJ/hH1Lweh+msCapsdcWn+dW+F6sXgFva6S+voobnP3gUDWOGxwMhmtfyq0grPBEX5KlUf5qVbsrC3UjUj0HyFGNZJ8PafYHJY5VZXbS3OGeUb3NLdU5KkYn31puLsQT5B9r1dv9s3mMorAACOM3261KmT9Oef0uLF0vTp0qhR0syZUmmh4t44P6M6ypXiqtTiqr6R3p4qu9VXlAopsbkmv7L699y6pkz0UCmGx/hS1bGdh4e0bp2k0UiSJB0/Li1bJo3zC+1up8kMPRTKOaExFYbqgmpdLy+/3ddLS6vqegw3IcK7FS8jlFGnTtKMGfUv9t57UmGBNKj5/3919M8ZZeFe6s4hZnLy4zkVRVr9s0HN1fZ7z1yMm+cY31B79QZATpTrAECkMLX7c8HN7dXbYE3gQE3A5wU3cqvrf8f4Td5K5cKwOG+mSGgMZoVEt3Y381qCa1WVi/PSErz9pwbYoewarHL7e2gMr6R2Br5K1ZthcRp7/G5ygl9YoiZwRUHGlaoKS5Z/Pqg5v7i1u0cCm/UyeYHcqsIb+dW6+SGxNyer/LIw64ZO+2pIjK+dfi/b2t3rESqvAAA4klotrV8vBQRIc+dKe/dKa9dKgYHS+PFSiLt6WLSP0cLfp5W4KxVJcX72+kFUYnOfMC/192ml1bW/nFghSSNjfEM8mRnbPrp0kVav/s+vrF54QfrtoGJeSEysPZ6Oej64eVt3ry3FuRP8w47lVBzPrSt1bxvg3rsZs5vKbdEi6W9/q2eZnBzplVekVn7ut4f95/79fKH2YpF2QJQm3Mv45ZFVesP310rauns9ZW42Div4KFWvhcbasfgHQE58PwsAgg3SBNrll0xt3L2eC25+qLx4Q1G2hauoJMXskJg4fnXRSHgqlAtDY82+xO7bkryvi3Me8A+/x7Z3EAar3N4Oi2MaTOcR4+Y5NyTGxt/g9tcEPBIYsbMkb5NlJ4dJ/uH9NQG2bBFmKSVpXmjsIE1gzcYyffWc7Cvhave5ITFKSVFp0M/NvhKkUr8eFmf7PbafUrUgNNbu71MBAABG4uOlDRskg0EaP17KzZW2bZMuXJBmzpQ6BHoMbuFT84qeW1GdnFoS5+s2IEpTa3cWuy3Ys2uI576MsstF2tqWUSikQS18WvvzGyx7uvdeaelSSa2WKiqke++V8jNUC8PibJkYQyFJjwY2S9QE/lRaeL9fWFpJ1a60kjqW7xTsmRTrR0FGft7e0pYtUrP6Hodbvlxau1YaEKn56+ePyanFpVX60S39NGrj5PxikXZfRtko3+Ak227nJUlSSNIrIdGOeBk2AHlw9w4A4j0c2Gzw/36B21Cxbp5vhsVl6rTzc1L1Uq2PVdbkp1QtCm9p+lMPOLMwtfuyiDa3eZi5t1+Wl/5TWcHTQVFWT6PRzsN7RbM2rcz9gA8CdffyfT+idZjamhqqQpIeCoiYExJztKLkvbw0S1aZ5B8+xR4/04RZ7grFyyHRUwIiah6i5yrL3sm91s3Ld3ZItLtCcUFb/lbO1Vs9NC8HR7vbULELVrm9E97SjvOpAgCAOgwaJH36qZSXJ40cKXl7S/v3S4cPS3//u9Q1xHNsKz+vGl/Qnyuo/OVGWbdQr4QIm34a1THQY2gLn3MFlXW83sxTpRjb0q+ruSn4YKPHHpN27pSCgqSMDGnECEmd5/5BROvbPK2pwnorla+GxEzwC7ugLe+vCbhYWLXpYpG+ltt6lUJKbK65K9rHfjOqomGaN5e+/VaKialnsYcflg4dkkbF+kZp3CRJKtcZNl0q8lApxrby8zap2O3PLDubX/l0UKQtD3N7KZR/D43tyZc8QGNGu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} ], "programmingLanguage": "r", "text": "#' @width 40\n#' @height 30\n\n#############plot Fig.2 - figure supplement 1a\n#subsetting the data frame food.flow.summary into three groups (food.flow.summary.minor.crop, food.flow.summary.minor.midgut, food.flow.summary.minor.hindgut)\nfood.flow.summary.minor<-subset(food.flow.summary,caste==\"minor\")\nfood.flow.summary.minor<-drop.levels(food.flow.summary.minor)\nfood.flow.summary.minor.crop<-subset(food.flow.summary.minor,gutregion==\"crop\")\nfood.flow.summary.minor.crop<-drop.levels(food.flow.summary.minor.crop)\nfood.flow.summary.minor.midgut<-subset(food.flow.summary.minor,gutregion==\"midgut\")\nfood.flow.summary.minor.midgut<-drop.levels(food.flow.summary.minor.midgut)\nfood.flow.summary.minor.hindgut<-subset(food.flow.summary.minor,gutregion==\"hindgut\")\nfood.flow.summary.minor.hindgut<-drop.levels(food.flow.summary.minor.hindgut)\n\n#plot Fig.2 - figure supplement 1a\nfig.2.figure.supplement1a<-ggplot()+\ngeom_line(data = food.flow.summary.minor.crop,aes(x=time,y=median+1,group=\"time\"),colour=\"blue\",lwd=1.5,alpha=0.8)+\ngeom_line(data = food.flow.summary.minor.midgut,aes(x=time,y=median+1,group=\"time\"),colour=\"skyblue\",lwd=1.5,alpha=0.8)+\ngeom_line(data = food.flow.summary.minor.hindgut,aes(x=time,y=median+1,group=\"time\"),colour=\"turquoise\",lwd=1.5,alpha=0.8)+\ngeom_point(data = food.flow.minor,mapping=aes(x=time,y=particles+1,fill=gutregion),pch=21,color=\"white\",position=position_jitter(width=0.1),size=7,alpha=1)+\nscale_fill_manual(values=c(\"blue\",\"skyblue\",\"turquoise\"))+\nscale_x_discrete(name=\"Time after feeding\",labels=c(\"2h\",\"4h\",\"6h\",\"8h\",\"12h\",\"14h\",\"16h\",\"18h\",\"24h\",\"48h\"))+\nscale_y_continuous(trans=\"log10\",name=\"Number particles\",limits=c(-1,3000))+\nannotation_logticks(sides=\"l\",size=1, short = unit(0.25, \"cm\"), mid = unit(0.5, \"cm\"), long = unit(0.8, \"cm\"))+\nlabs(tag=\"a\")+\ntheme(axis.line = element_line(colour = \"black\",size=1.5),\n axis.ticks=element_line(colour=\"black\",size=1.5),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=35),\n axis.text.y=element_text(colour=\"black\",size=35),\n axis.title.x=element_text(colour=\"black\",size=40,margin=margin(20,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=40,margin=margin(0,22,0,0)),\n plot.tag=element_text(colour=\"black\",size=60,face=\"bold\"),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key.height=unit(4,\"cm\"),\n legend.key=element_blank(),\n legend.position=\"right\")\nfig.2.figure.supplement1a\n\n#############plot Fig.2 - figure supplement 1b\n#subsetting the data frame food.flow.summary into three groups (food.flow.summary.major.crop, food.flow.summary.major.midgut, food.flow.summary.major.hindgut)\nfood.flow.summary.major<-subset(food.flow.summary,caste==\"major\")\nfood.flow.summary.major<-drop.levels(food.flow.summary.major)\nfood.flow.summary.major.crop<-subset(food.flow.summary.major,gutregion==\"crop\")\nfood.flow.summary.major.crop<-drop.levels(food.flow.summary.major.crop)\nfood.flow.summary.major.midgut<-subset(food.flow.summary.major,gutregion==\"midgut\")\nfood.flow.summary.major.midgut<-drop.levels(food.flow.summary.major.midgut)\nfood.flow.summary.major.hindgut<-subset(food.flow.summary.major,gutregion==\"hindgut\")\nfood.flow.summary.major.hindgut<-drop.levels(food.flow.summary.major.hindgut)\n\n#plot Fig.2 - figure supplement 1b\nfig.2.figure.supplement1b<-ggplot()+\ngeom_line(data = food.flow.summary.major.crop,aes(x=time,y=median+1,group=\"time\"),colour=\"blue\",lwd=1.5,alpha=0.8)+\ngeom_line(data = food.flow.summary.major.midgut,aes(x=time,y=median+1,group=\"time\"),colour=\"skyblue\",lwd=1.5,alpha=0.8)+\ngeom_line(data = food.flow.summary.major.hindgut,aes(x=time,y=median+1,group=\"time\"),colour=\"turquoise\",lwd=1.5,alpha=0.8)+\ngeom_point(data = food.flow.major,mapping=aes(x=time,y=particles+1,fill=gutregion),pch=21,color=\"white\",position=position_jitter(width=0.1),size=7,alpha=1)+\nscale_fill_manual(values=c(\"blue\",\"skyblue\",\"turquoise\"))+\nscale_x_discrete(name=\"Time after feeding\",labels=c(\"2h\",\"4h\",\"6h\",\"8h\",\"12h\",\"14h\",\"16h\",\"18h\",\"24h\",\"48h\"))+\nscale_y_continuous(trans=\"log10\",name=\"Number particles\",limits=c(-1,3000))+\nannotation_logticks(sides=\"l\",size=1, short = unit(0.25, \"cm\"), mid = unit(0.5, \"cm\"), long = unit(0.8, \"cm\"))+\nlabs(tag=\"b\")+\ntheme(axis.line = element_line(colour = \"black\",size=1.5),\n axis.ticks=element_line(colour=\"black\",size=1.5),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=35),\n axis.text.y=element_text(colour=\"black\",size=35),\n axis.title.x=element_text(colour=\"black\",size=40,margin=margin(20,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=40,margin=margin(0,22,0,0)),\n plot.tag=element_text(colour=\"black\",size=60,face=\"bold\"),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key.height=unit(4,\"cm\"),\n legend.key=element_blank(),\n legend.position=\"right\")\nfig.2.figure.supplement1b" }, { "type": "CodeChunk", "id": "fig2s2", "caption": [ { "type": "Heading", "depth": 3, "content": [ "Viability of ", { "type": "Emphasis", "content": [ "E. coli" ] }, " over time in the digestive tract of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " over time." ] }, { "type": "Paragraph", "content": [ "Change in the number of colony forming units (CFUs) in the crop (", { "type": "Strong", "content": [ "a" ] }, ") and midgut (", { "type": "Strong", "content": [ "b" ] }, ") part of the digestive tract (yellow color in insert) relative to mean CFU-number at 0 hr in the crop (CFU change corresponds to single data CFU-value divided by the mean CFU-value at 0 hr in the crop), 0 hr, 0.5 hr, 4 hr, 24 hr, and 48 hr after feeding ants 10% honey water contaminated with ", { "type": "Emphasis", "content": [ "Escherichia coli" ] }, ". (", { "type": "Strong", "content": [ "a" ] }, "), Change of ", { "type": "Emphasis", "content": [ "E. coli" ] }, " in the crop (GLMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.003, "output": "156.741", "programmingLanguage": "r", "text": "myround(anova(m.growth.ecoli.crop,m.growth.ecoli.crop0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.004, "output": 4, "programmingLanguage": "r", "text": "anova(m.growth.ecoli.crop,m.growth.ecoli.crop0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.008, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.growth.ecoli.crop,m.growth.ecoli.crop0)[2,8],3))" }, ", same letters indicate p=", { "type": "CodeExpression", "duration": 0.002, "output": "0.979", "programmingLanguage": "r", "text": "myround(( output.m.growth.ecoli.crop1.glht$test)$pvalues[10],3)" }, " and different letters indicate p<", { "type": "CodeExpression", "duration": 0.002, "output": "0.025", "programmingLanguage": "r", "text": "myround(( output.m.growth.ecoli.crop1.glht$test)$pvalues[5],3)" }, " in Westfall corrected post hoc comparisons). (", { "type": "Strong", "content": [ "b" ] }, "), Change of ", { "type": "Emphasis", "content": [ "E. coli" ] }, " in the midgut (GLMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.004, "output": "14.898", "programmingLanguage": "r", "text": "myround(anova(m.growth.ecoli.midgut,m.growth.ecoli.midgut0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.003, "output": 3, "programmingLanguage": "r", "text": "anova(m.growth.ecoli.midgut,m.growth.ecoli.midgut0)[2,7]" }, ", p=", { "type": "CodeExpression", "duration": 0.003, "output": "0.002", "programmingLanguage": "r", "text": "myround(anova(m.growth.ecoli.midgut,m.growth.ecoli.midgut0)[2,8],3)" }, ", same letters indicate p≥", { "type": "CodeExpression", "duration": 0.002, "output": "0.629", "programmingLanguage": "r", "text": "myround(( output.m.growth.ecoli.midgut.glht$test)$pvalues[3],3)" }, " and different letters indicate p≤", { "type": "CodeExpression", "duration": 0.003, "output": "0.038", "programmingLanguage": "r", "text": "myround(( output.m.growth.ecoli.midgut.glht$test)$pvalues[1],3)" }, " in Westfall corrected post hoc comparisons). Note that timepoints with zero bacterial growth in the midgut (0 hr) were excluded from the statistical model." ] } ], "duration": 0.018, "label": "Figure 2—figure supplement 2", "outputs": [ { "type": "ImageObject", "contentUrl": 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JPh++2s7d169E26GuXrGWRsaKoZxlSnrI2MD/XrPczYkInIIKa1P76dX3SXD8Wd5OSnjwl64trN5Iys1Po3pVLpwmdXubv4fbN16e4j3zYz4FX4/y+mi3EnB/qMHDZw8rotS1ycvAP6jvk9ZGtUQuit3Btjgqa7OPY+c/FgfSKuUimTrkT9cT1+5KBHvFwHnr7w27X0ZD+voXq6BnHJ5zvbtXUVcEALNzOvvPfVf2RS+UuzPjoXfWTlxgVV1RXNlFcodN+Z9033rm7rtry75+h31TVVzRSurqmKvnQ6Iyt1dND0znYOH6ye28nOceLIp/ILs6+lJzcq/PQjb40ImLbz93Xf/bysorLp58DqZeXeOHPxgJuz78hBj3y385Pcgky3Hn1beMgA8G8gvXsRAMADrLy8/Nq1P1do79evX0tq+fj4yOXy+pcJCQnNFBalA6IfFx5MRSV5b3/2ZOqNREEQenX3eWraovPRR9dufqfh7JfNqK2r+Xrru2cjD82a8rqbs2/DTWq1eu/R77fvXxPYb9xbL6zJyLr28boXS8oKn5v+bpeOPT7b+FrS1ahGrRkamCyau7qqqnzJF3Mysq4JLaBSqbbuXbXnyHdjh84M6j/+dMTvG7d/qK9n2PzVNXAPFRTlrFg/v7Ss6E4FzEysFr+4TiqRfrtz2d6j39+pWCNRCac/XDNXUKuXvblNs6RWQ1m5N99b9UxxaUGdstbS1PaVOcsabn3pyY9tLDuuWD//j+txLT+Kj9a+kJuf2cLywD2kUqvORx89cHJrM2Uc7HvNfWJpbFLYqh8WNX9LtJ5arf7l4PrdR74dE/REUP/x9e+fuXigtKyosDj3nS9mp2VcbklTtbXVq4MXh5zf29Ox98X4k6MCHwvoO0azqayieO2Pb7MiBkRUUJSjWQROO5evxeUXZft6BjV8c+bEBZ49+6/bvORU+P4WtpOelfreqv+o1MpX5iz/4ZcVlma2YwIfFwTh7MWDq398262H76zJrzWqEpsU9tmm17p1dnlu+hKVSnX87K/mptZxyefDY45rfTiAdjKyry35Yk5VdcUrc5ZdTUtYt+XdRuNNb/fc4+84dXVfseHV0xG/t3Av56KPrty4oGsnl1mTF3y2aUH0pTNPP7KoRzePhmVGBEwdOeiRnQe+3nVoYwu/XIpLCz5c8/zNW1cXPL0y5Nyevcd+aGF/AODfQH73IgCAB1hycnLD02I/P7+W1NLX1/fw8IiOjq5v5EHrgOjHhftq8eLFly5dalWV2bNnjx8/7tMNCzTrbEml0mceXZyZk7Z28zutuu2oVqu/3vJuZzvHZx5d/PpHUxtNYrbnyHfdOrsM7DNyw/b3q6orejn1Ceg7evPuLy79cfH2ph4ZM9fS3PbtlbMaLeFwV9v3r+nSscfsKQsjE0JDzu/t3s19yIBJarU6ODj4TgM6m/Hiiy+OHDmytbXQrj377LPZ2a0elzB69Oi5c+eu3fzO7fODNTR76kI9XYOjZ34+cnpnq9r/43r8+u0fzJv14fTxL2/d+2WjrcWlBSs2vPLx65tTrsV69Rro5zX0QuwJQRB8PAJ93Aev3/5+a+/elpQVfrrx1U8Wbtu7Z29wcHCr6ja0dOlSb29vraujPZo0aVLDBXVarmPHjl9//bVKpdy6d1XzJZ+atqi4JP/L799s7Y52/LbO0b7XzEkLImJDNAs9PvLw80aGJu98Pvuug8gbUqvVG7d/2MnWoXtX96Qrkf957L+RCac0a09evhYXERfSy9F39uzZdXV3ub17V2vWrLG3t29jI2hHCgoK5syZo13dzz//vGu3LnHJ59sSGKvV6oSUCz2d/vy73a2zy5gh0/cdDz4beahVTeUVZn226fX3XvnW3dnvQuyJh4fO2Hf8R7VadT766J6j300c8dSp8P2aR8TqxaeEb9/31YyJrx4P+/Vi/MnZUxfOmPjKy++N72jTVSYYzJs3T6lsbvDr7Xbs2KGnx/Jd/yIpKSkLFy5sSwuvv/66T1/vFd/ML68snTN1oY6O3qof3mpysbqGvF0DBvuN3bz789iksFbtLjYpbOveL2dOWnAm4uCX37/5yRtbn5u+ZOGyRzXfbiZG5jMmvhoRF/LroY2tara6pnLF+vmfLv555qQFX36/yKmLa2cb57lz51ZWVra8EWNj4y1btrRqvwDw4COuA4D2LTHxL9eQ3bt3b2FFJyen+lgrJSVFpVJJpdoMub5PHRD9uHBf5eXlZWTccSK+29nY2IwZM+bY2V31g28C+4237+D08boXWzhqoaGa2uoff/3snZfWDxkw8djZXY22Bu9a6eMeOMx/yh/XE6ZPmJ+dl37w5LYmumTZaXjA1MOhO26fEOau1GrVtz9/8uU7eyY/9J/gXZ/+9NvagL5jiipLJk+e/MMPP5SV3WUOmUbKy8vvXgj/LFlZWZmZrRtYJpfLp02bFpN4Nj4lvJliHWy6DvAeUVpWtGVP47ytJUIv/BbUf/zDQ2f8cvCb2z+baRmXD4X+NGbIjPSsq9PHvxwRd1IQhOnjX07LuHwibI8Wu7uennIibPe4cRM2bdqUk9OKJKOhqqpW/w1Bu1ZdXZ2RkaFdXDdkyBBBEM5FHcnOS2+mmK/nEBdHr9XBi+86J9jt1GpV8K6VK//7y/gRs7fvW21j2WlEwLTDp3ZcTWvdMy6CINQpazf+9OGKRT+Fxxx3cfSeOGLO9v1rNJsOh+7w8xpqZ2fXcJFg7ZSWlraxBbQjSUlJhw8fbtUpXD17e3snJyelsi63oK0Do3PyMwb2GSmRSDSx3xMTXikqKfjlwHotmkq+Gh164fdxw2Z9t/OTfr2HOTt4aJY3/vXQxqB+45+YMP+D1c81qvJ7yNbh/lNnTHx18aczSsoKTYzMRw1+9NufP1k6/9v+/fvv3Nm6J11++OGH4cOHt/xKB+2d5jtI6+qurq4BAQHb96++lXvDzMRqxKBph0N3NjO9uYZEIn18/EsZWdcOhDQ3LvxOfg/ZEtRv/BMT5y9c9mjwryvfen5NoN+4kPN7BUGYMvpZuVzxw65Ptcjg8wqz9hz5bvr4lx2PBwfvWrli0U9Dhw7dsGFDy1swMTFp7U4B4MHHHUwAaN9SUlIavuzcuXMLKzZ8FLqqqurGjRsPVAfu63GtXbv2kRZYvXp1C3eK+23KlClSmWRXg8c2h/tPuXwtLibxrHYNxqeEJ12NGu4/5fZNhcW5R07vGOT7cLfOLi6OXvuOBdcpa28vNmLQNJVKtfvwJu06kJufGXJuz7CBkxQK3dKyoiOnd5qZWJmYmLRltUWgGd7e3paWlr/f7TbNqMDHJBLJnqPfaUbhaOGn/WvkMvmowMeb3Lr78Hd1dTVZuTc72nZzdvDo3tXNvoPTr4c21q8P1Fq/Htool8tGjBihXXX8q+Tn57/66quDBg3SLqsT/n+sv2ZgaDOGDpyUmX39zMXWDfSpl5F9LSzy0NABEyUS6UODH1WplL8e0fK7Ji3jcljUkQF9RobHHhs56JH6iWoTr0SWV5bek2+cWbNmzZkz5+rVq21vCg+44ODgWbNmaT2WJTAwUK1WyWTykrKCNvakuLRAodA10DMSBMHGspNXrwF7j35fXdOKQTkN7Tzwta6OnpmJVU1tde9e/po3q2uq9hz5zsOln61V42sQpbJu9+FN3bu623fsXlicm1+YNXLQI8lXo+OSzz/66KOt3fumTZumT5/+yy/NLYQJ1HvsscdKygo0jxL6egbJZYojoTvuWsu1h0+3zi4//bZG2ezSp3eiUql2Hvi6S8cevbr7RF86k5IaMzpouiAICrlOUL/xIef2aD05+cGT28rKi4f7T0nLuBwec3z8+PESiUS7pgDgH4O4DgDat8LCwoYvO3Xq1MKKjUrm5+c/UB24r8cVERHxcwtcuHChhTtFyxUWFv7000+tfao0KCgoIeVC/ZyT5qbW3bu6n4s63JaenI866mDfy9Lc7vZNYZGHFXKdsUNnqtWqiLiQJqv7egTFJZ8rLS/WugNnIw/r6Rp4uPgJgnA+5phcpigsyQsMDGxtOyEhISEhIVrffUb7kpWVtXnz5pKSktZWDAwMrKwqv3Q5ovli/XsPV6vVYZHaf7guX4vLzksf5Ptwk1vLKopjk87Zd+heXVPZ13OIr+eQmtrqqEtntN5dflH2lesJw4YN07qF33777fz581pXR3uhVqtfffXV06dPt+WvpeYcI6HZz5GeroGnS7/wmGNah9CCIJyPPmpqbOns4NHXMygmMayZxSbv6kzEARMj87T0y4YGJt27umneVCrrrt1McnBw0LrZhuLj41944QUt/i6hHUlLS1u7dm1bJrHs3r37rZwbarVKT9ewjZ3R1zNUq1VVNZWCIPh6DVGr1eExx7RuLTc/80raJW+3gNz8TBurP68jwqKOqNWqvn9dJE8jIu6kUqX09QiqrqksLiswNjLr6eR99uLBrl27duvWrbUdUKlUK1eu1HqMONqRyMhILea9ryeVSv39/S/EntBMYNDHffDNzCu3cu/+0K2f55DKqvKohNNa7zoq4XRlVblmzcgzFw926+xiY9nJ3dlPX8/wXNQRrZutqa2OTAjt6xEkkUjDY47b2dk5Ozu3vHpVVVVwcHB6enPj3QGg3SGuA4D2rdG8eebm5i2saGpq2vCl1vPp3acOiH5cuB+Sk5OnTp26cuXKVi27ZWlp6eTkFHUptP4d1+4+EokkJrF1Sy80Ep14RiKRuHb3uX1T6s2k4tJ8F8feNzKvNLkunaWZbUfbblGXtL/oFQQhJTW6vKLEw6W/IAipNxLLKopLywo9PDzuWrGRsLCwN954Y968ebW1TYwCxD/JuXPnpkyZsmrVqtbOmCoIQvfu3a+kJTQ5VLSero6eual16s2k/KJWL4zXUNSl051su91xa8JpW6vOqTeSXBy8nB28UlJjtB4SoRGbfM7NzU3reY8PHz48b968JUuWtOU2NB58iYmJjebZ1oKxsXF1TWV5RXO5lFMXV4VCNybpXFt2FJd8XqVS+XoO6WDdJSoh9O4VmmkqJbymtlpfz1CpUro7/7kScGFxrrW1dVtabig/P//kyZP3qjU8gCIjI9v4YJC1tXVhcW5xaYGFaVt/8SzMbIpLC5TKOkEQXLv3vZ6R0savrehLZ1wcvQtLcs0b9K24NP96xmW3Hn1vL19WUXzlekKv7n3MTKxuZF6pqa32cOkfmRAqCEK/fv206EBdXV1MTIzW/Ue7sGzZsueee27//v1at+Dq6mpqahr5/18Kne0c/khr0bq/7i794pLP1dbVaL3r2rqauORzmssWzbeSu7Ofaw+fyqry5KvRWjcrCEL0pdOmxhad7RxiksIEQWjVcsI1NTWrV6+eNm1aSEjTj1cCQHtEXAcA7VvDOEomk8lkshZWbLSqudax1n3qgOjHhfvho48+Ki5u9XA0Ozs7QRAys9Pq37Ews1Wr1Xddp6F5ufmZKpXK0tz29k1qtTorN93QwCS/sOm7P1YWdoIg3MpJa3JrC6lUquy8dCtzW80e8wqyBEFiaWmpXepw4cIFZlL6Z1Mqle+//351dbV21a2srAqK7vLkvuY2ZWb2de12US8z+7pMJjfQN2pyq+Yx8PLKUgszG3Mz67zCrDbuLrfglkwmMzMza0sjBw4cIGz4Z2vVYyJ3UldXV3K3gW4WZraCILTxG6q6pqq4tMDOuosgCBnZ19rSVG1tdW5BprmpdXFJvoWZTf37lVXlBgYGbWm5kaystn6W8SBr+zKfxsbG5ZWl6Vmpzg5ebWzKuZvnzVv/m3/Vytw2p9m1JFsiO++mVCqVSeX1E8Zq5OSlW5jaNFkltyDT0szWwtQ6r+BWXsEtK3O7krLCsopizVmrFlhI9Z/tnpyod+jQQRCEjKzrmpdmJtaFxU08Vng7K3O7zLZdtgiCkJmTZm3RQRCE3IJbNbXVVhZ2Fma2eYVZ2k2wWS87P0MQBAsz2/KKkorKMi2eI6mtrf3ggw/4BAH4xyCuA4D2reEYC319/ZZXbFT4noyuu4cdEP24cM9VVFQkJSVpUdHKykoQhIaj3MxMLMorS9ryiKggCEqVsrS80NzEqsmtRSW5ujp6xXdYXsXMRNMlLaeQrVdYnFt/G6i4NF8hV7Qldbh48WIb+4MHWVpaWm5urtbVjY2NKypLmy9jamwh/PWzph1NLmh+h/EThcU5giAoVXWmxpZmxpYlpW1fxChfEARLS8s2tsMnCHdVWlpqZGDSfBkzE0tBENr+i11UkmtuaiPci++agqIcc1PrwuLchk+omJta5+W19cMOtFxhYaGJkXlk/CnHLq6WZk08LNVCFmY2jl1cL8af0rw0Nba8F+djeYIgWJrbNnqupbA4z/wOcV1RSZ6Fua1CoZv4x8XC4v8NyyssupeDVvFPck/OMTSnOprzNJlMrqPQrWrBSsO6Ovr6eob35LJFT9dAX89Q87O5qbWZiaXmHKyNzQqCYG76v8s9zXVfa5WUlFy+fLmNPQGABwRxHQC0b5WVf84hpqOj0/KKCoWi4UutY6371AHRjwv3nI6OTqv+K+splUpBEKTSP0dYVtdU6Sr07lyjxV1S6GnWfridQq6rVNYZ6hs3ubVOWScIgkwmb2MHZDJ5/eSE+npGSpVSrVZrMc+hhonJXW4io10zMjKSSCRaV9fcJ22+TEVlmfDXz5p2NC3cado0uUwhCIJCrlNRWVZRVaa579MWBnpGwr34a88n6J/tntxDv379ur6eYfO/tFXVFYIg6Oq04kmjJunpGtTWVgmC0Gi4jxakEqlardZR6FZV/3lyZW3RsS1PANzOxqbpVAP/DG3//83Ly7M0t7sQe0KlVo0c/IjW7Ywa/JhKrYqIPaF5WVNbraPQbWPfdHR0BUEwM7HKK8hs+L6ujt6dpmvW1zWUSKRlFcXJV6NlMrlmZk6pTKY5a9UCn6B/tntyjqE5s9LMw6FU1pWVF5ua3P1ZJZVKqVar5ffiskWzX83PKpWypqZKp81XZJoWNFdk+nqGWp/OcRYH4B+DuA4A2reGcz+2auWqmpq/jEySy7U8g79PHRD9uHDPyeXyCRMmaFFR8/h/w5E6hcV5CoWukYHpnSvdneaW650WO7Ews6msKr/T8KCi4lxBEO7J4iv1z3Gbm1qrlMqioqJGv8MtJJVKJ02a1Mb+4EFmY2MTEBCgdfXc3FxL87vM0FXQ4AHnttAMm7jT3Jua6fh0FHoFxTn1IxLaQjP0oY3jhHR1dceMGdPGnuBB5ubm5uzs3MZGjh49KghCr+59mimjGaZjbnYPviDyCrKEe/GRtDC3zS/Ktmgwcsjc1LprJ+eoqKg2tlzP3Nx86NCh96o1PID8/f1tbbUfEicIQkJCgrVFB7lc5+S5vWOCntBugJ2lud2YIU+cCNtdP5FyYUmuWds/I6aaL6bGq042PE9rxNzUWk9H/+T5fUqVsr6YhamNdvPudunSxcenidWU8Y8xcuRIQ8O2Pp/U6JqooDhHMztl82rrasoqis3uMKFIy1mY2pSWF9XUVkskUnMTq4KinIJ7cRZnaW4jCEJBUY5MKjM1ttTuOZI+ffp069atjT0BgAcEcR0AtG8Nz/tbNWN7o8JGRk0vMiRWB0Q/LtwPr7766uTJkxuNgLyrzMxMlUpl36F7/TuaReMcu/RqS2cc7XsJd1h/TldHr4NN15z8jG6dnPV0m1jaJyc/Q61WdenYoy0d0NXRs7PuolmwwdLM1srcTl/f6MqVK1o0ZW1t/dFHH3l6eralP3jwvf/++8OHD9dudcP4+Pge3TzuNGBUo7yipKa22t7OSdsO/k/nDo41NVV3GpHQtZOzWq3qbOd4M/NK+q3UHt082jh4yNnBMycnR7ucW8Pe3v6LL76wt7dvSzfwgJNKpV9++aWfn19bRqmeOHGirq7O12NIM2U0S8117+Km9V4EQbDv4KSro3/1ZqLm57Y0padrYGVuV1FZaqhvfCv3f195fl5DJRJJaGhoW1qu5+zsvGbNGkY2/LPp6+uvWbPGzU37X+zQ0FCVSuXrGbTzwDqVSjl/zjLNYOuWk8sUr8xZVldX+8vBb+rfzMq54dC5Zxu/Rxzse9bV1ZaWF11Ojal/UyKRduvcs8kTRYlE6tTVTams2314k6G+saW5XXZ+urVFB309w8zMzNvLN69Pnz6rV69u7ekx2hcbG5vVq1c7ODi0pZGMjAxBEOqviZKvxri79GvJ5ygnL6ONly2CIHTp2CMnL0MQhI62XWUyeXZeelbuDUszW81U6lpz6NxTrVZn5d507OImlUpTU1NbVV0qlQ4ePHj58uVt6QMAPFCI6wCgfWsYa9XW1rZ8Apb7Edfdww6Ifly4H3R0dBYvXhwSEtKq2z0lJSUJCQl9PQPr30m6GlVeUeLr2dwN07vy9RpSVV2RdKWJsQWePfvr6uiFnNujUOh69Rp4e4HS8uIr1xP6ega1pQOePQfoKHSjEkIFQejrGSSRSKzM7U6fPt3adubNm3fgwIERI0a0pTNoF4yNjZctWxYSEqLFEIfQ0FCZTO7tdpfxeVfTEuw7du9g3UXbPgoSidTHPTDx6h1H7fh6Drl5K9XMxDIiLuRi/EkzE6vuXd213p2OQre368Djx49r3cIHH3ywe/duPz8/rVtAe2FjY7Nu3brjx49rl3kLgqBSqc6cORPgO7qZ8QS3ctIys6/3beM3lOcQlUp15uKBm7eu9vUIaktTvV39FXIdQa0WBHXMpbOCIOgodCeOmBMZGZment6WljU2bNiwbds2FxeXtjeFB5yDg0NwcPC2bdu0q56fnx8eHv7wkBkVlWVfBS92cfSa+8S7shZPvyyTyp6fsdTZwfOr4Lc0Y1g1IhNC2/g9IpFIfNwD5XL5wZPblao/rzhcHL1MjS0uJpy6vYpm07Gzu0rLi/u4D5JJZVEJp309h6rV6rCwsFbtff/+/Rs2bOjUqZPW/Ud74enp+fPPP3/++edat3D58uWcnJy+Hv+7JroYH2Kob+zm7HvXitGJZ9ydfZt/Zqt5BvpGbs59oy6dFgTBz3OoSqWKTT53Me6kVCrt4z5Y62YFQfD1HHolLaG4NN/Pa0h1dfWFCxdaXtfIyOj48eOff/65ufld5nsHgHaEuA4A2jcDg78M/SktLW1hxZKSkoYvtY617lMH7utxvfHGG0dbYNGiRS3cKVpFT09PV7d1q4ycPHnSxaF3B5uumpdKZV3UpdMD+zxkoK/l762+nqG/z+jIhNDauiZG5AwdOLmwOO9k+P6c/IyHhzzRZAsXYk+4OPTuaNtNuw4IgjBkwISikrw/ridIpdKRgx4pKslTqVQhISGtbcfU1LQtg0XQ7hgaGspkrV5eLiUl5cqVK5NGPt18UHHo1A5BEAb5Pax197x6DTA3tTpx9tcmt3aydXB28FKplJVV5XHJ52OTzlVWlY8Jelzr3Q0ZMFFXR//w4cNat2BmZqZ1XbRHbRwEtmLFCrlM59GxLzRTJjzmmLebv42llvff5TLFkAETL/0RUVpWFBEX4u7ip5lCVjuD/R4uKM7x6Nk/9UaSZv7nCSPmWJjZfvXVV1q32RCfoH+btvyPr1271tTYcvzw2ZHxp37c/fkg34cXv7iuJXObGxuZ/Xfe1wF9xwTv+iwq4S8PNsUmnauuqRweMEXrXvVxH2xhZlNeUfrbic0N3x/uP6Wyqjw++fztVR4a9EhdXe2WPV8IghDUf0J2XvrNW1cC+41NSkrKyWl68sw7MTVt09TuaHfa8glSq9Vnzpzp6xmkCd4SLkfk5GdMazgoqgAAIABJREFUHf3cXS8EImJDZDK5f9/RWu86oO8YuUyhyecG+T2ckhpdWlZ0K/dGelbq8IGTtb4S6Wzn2NPJ+0LsCT1dg8F+48LCwhouYH9XUqnU2Fj7DBIAHkzEdQDQvtnZ/WUtIs0UGS3RqKSl5d3Xqf47O3Bfj8vNzW14C7Rlwh/cW7t37y4tLZ0+/qX6d3Yd2mhgYDxh+GztGhw/fLaxodmvhzfdvqlXdx8f98F7jnyrUil3/v51TyfvJofxHTu7q7yy5PFxL92+qSV6dPP0cQ/ce/R7tVoV1G+CfQcnIwPTPXv23Lp1S7sGgeap1erVq1fbd+w+bODkZoqdiz5SVJI/duhM7dY4kUikj4+bV1yaHxHXdPA8fcL86prKrp2c9xz9vrqmsrqmcs/R7wf6jHLs4qrF7vT1DKeOfi4uLi4hIUGL6oAWcnJyfvzxxyH9Jw7yveNih7+FbKmpqX583DztdvHQ4EdsrTr/cmC9IAiHQ39SqZSPPPy8dk1pvmuS/ojq0rHHzgNfC4Lg4z546uhnd+/efenSJe3aBLSWnJy8Z8+eKaOe9XYN+P3Eli+/W+js4LXq3b1jh85UKJp+kEtHoTtu2KxVS/b26Obx+bdvHDi5tVGB6prK345vDvQbZ9+xe5MtNE8qlU4f/7IgCGs3v1NVXVH/ftdOzoN8x+w7HlxTW92oimMX14E+o3Yd2lBTW+3Va6CHS789R7/z9xnlYN/rhx9+0KIPQMtt2bJFV6E/8aGnBUFQKuu271/j4ujl7zOq+VrX0pNjk8KmjZmrr6fN+nl6ugZTRz8bk3j2WnpyUL8Jne0c9xz5XrNp18ENPRw8/byGadGsIAhPTJhfXlFy9MzP44bNMjW22Lhxo3btAMA/iVzsDgAA2sTZ2bnhy4yMjBaGTA1jLYVCofVM+vepA6IfF+6ryZMn+/v7t6rKH3/84eczrF/v4eExxwRByMy+fiJs97jhT0Ynnk2+Gt2qppwdPMcPf/JU+L6bmY0XijPUN547fYkgCCq1ShCE0xEHRgc+/tz0JdczUnLz/7IYSXll6e7D386ctGBAn5Hnoo60qgP6eobPz1iaW5B55PTPnewcZk1+raKyTC7TUSqVL73U6vyPXPlf6MknnywrK9Oi4s2bN2dPeePazeQraXfMt9Zve+/NuV898+jizza9plarW9X+uGEzHex7fbbp9YbzidXz9xnl6xlUUlZYXll6IGSL5s0DIVtGBEydP/uTxZ/OKK9s6UBqQRAkEskLM943MTK/du20Fh+cel27dtW6LtqpefPmtfZ3uyGJRJKdnT13+rslZUWxSU1MfFdaVrTn6HePj3spMiH0zMWDrWq8ayfnR8e+eCH2RNLVKEEQCovzfjuxZdLIp89ePBSfEt6qpvR0DZ6b/k5BUY5nz/7JV6OjEk77eATOn/1Jbm5eeXl5Wz41DVlYtGnVIrQ7RkZGbfnlqaioyM/Pnz9n2cqNC85FH03L/GP6+JdnTX7tkYefj0k8e+mPi/mF2aXlRcaGZlYWdm49+nr1Gqina5Bw+cLG7R/eyr3RZJv7jgcPD5gyb+YHS76YU13TihWvBUF4dOyL9h2cTpzbczH+z0kv9XQN5s36sKgk/7fjmxuV19czfGnWRwVF2b+d2GxkYPr0I29lZF2LSQz7+PXNubm5bm5urT0rY8m6f5sOHTq08c/v1atXxwQ+Hh597EpaQljkoWEDJz03fUl6Vur19JRmam3Z8+WKRT/NmvTa+u3vt3aPT05+3dTYYuveVVbmdo+Pf+nS5YjoxDOaTWFRh8cOnfnUtEVXrsdrBnC3XFD/8T4egd//ssK+g9PEkU+lpqY+9NBDDz30UMtb0NHRadUeAaBdkLTlQgUAILqIiIiGK+588803zz33XEsqDhgw4Pz5/83u0rNnz6SkpAeqA6IflyAIW7ZsmTlzZpObFi1a9Mknn2jdMrRWXVP57pdPp95IFARBT9fggwU/mJlYLfl89p3u4NzO1qrzBwt+KC0vfvuzWZVV5Q03KeQ6C59b1at7n5TUGNfuPsu+eSk26Zy1RYdPFm4rKsn7cM3zRSV5DcvLpLK3Xljr4tj7vVXPNBN+NCKTyV//z+eePfu/t+qZ/MLsJfM3Wpja6OrotbA60HZFJXnLv3n56o3EOxWYP2e5v89Dvx7e9NP+NS1vto/7oIXProqIC/ls02u3b+3RzePd+Zuqa6p0dfSWfDEntcHenbq4vr/gh+Sr0Z9ueLXh4IZmSCSSGRNfGTfsyZZ3D7jnVCrV5j2fHwjZplarGm2SSqWL5q527dH3o7UvJF2JbGGDVuZ2773ynUqtWvzpE6XlxZo3jQ1N17x3QKmq++/KWbdy0lrYlFQqXfD0yj7ugwoKsw0MTN5eOXOQ39jJDz0tkTC/Dh4ISpVyy54vDp3crlQpnbq6BfiM7usZZGvVuWGZ7Lyb19Mv93EfJJfJT0cc2HVwQ5Pne4YGJjMnLRg6YOL56KOrvl/U5PMiTQrsN+6FGe8nXYlcuuqZ+jflMsWrT3/q7eb//lfPNnogTEeh+9p/PnPv4bt01TPX01MWPb/a2cHrg9XPPjnljR7dPFr/bwBor7A4d/GnM/KLso0NTT9ZuE0h11mxfn4zp3aCIEx66JnHx80L3vXp7yGNR6k2Y3TQ9DlTF27fv+bQqe3vvfKdpZntok+nN3yK0c7a/uM3tuTkZby/+tmKypY+TObaw+e/L34dmxS2de+qpfM3mRprOdMPAPzzyJYuXSp2HwAA2jM0NFy+fHn9Szs7u/Hjx9+1Vl1d3SuvvFJXV6d56e/v/9hjjz1QHRD9uARBiIuL2717d5ObAgIChg8frnXL0JpcpvD3GXUz88qtnLQ6ZW1M0tkh/SeOGDT1alpiTv7dZ0x1c/Z9e943arXq9uzN3NRq8Qtrezr1WfPj278cXN/b1X/s0JklZQXxKRdSUmMfGvRoYP9xyVeiCotz66uo1erIhNAB3iNGBT6WkX0tI/vaXTtgbGT25tyvPHv2/2bbe+UVJe+8tN7C1Fqh4MlQ/K30dA0G+40tLMlLy7gsCE08uhcec8zPc8iAPiNNjCziksJa8njfcP8pL8764FZO2kdrn1fddqt0gPeI15/9XCqVKhQ6q4P/Wz9ISCHX8ezZf+iASQ72vWytOvdxHxSTdLbibmPs9HQNXn7y4+Zn9QT+BhKJpHevgX5eQwqKsrPzbjb8pKjV6qiE076eQQ8PeaKgKLv5QQ8aLo69l7y8XiHX/WjdC7kF/5sY2dLc7q0X1lpbdFTIdf37jvrjekJewd3nTDbUN379P5/38RhcXlFsYmQRcn7vjImv9HEfxEKneHBIJdLevQYO6DOyvKIkJTUmMuHUwZPbDoRsPR3x+7noI/uOBYde+E2h0A3wHa2Q60gkkq6dnEcHPd6v9zA76y6dbB1tLDv1dPL29QiaPOqZpx9d7Gjf8+qNRA+Xfi5OvaMSTt8+g2UjEolk2pi5T05540pa/NJVT9d/eE2NLd56fo1nz34btn1wMf5kwyqWZrZvz/vaxbH32i1Lrt1MfuuFtT2dvIN3rZgy+jmnLsxzgL+bvp7hwD4PJV6JzM5Lj750ZqDPqNFB00vLi66nJ9/ptC0lNbqDTdfxw59UyHUSLkc0eQbYkEQinT7+pcfGvng28tDhUz+9M++bjrbdlq9/OS39csNiZRUlqTeSHh7yRH/vEbFJYWUVJXdqsN6Q/hNeeWp5Rta1Aye3vzl3lbEha6ACwJ8YXQcA7Z6rq2v9GDJPT8/Y2Ni7VomOju7Tp0/9y48//vitt9560Dog+nExuu6BpVarjoft/vnA14XFeeam1guf/dKxS6/zMce37Pmi0ZSV9cxNraeNmTtkwMT0W1dXrJ+f2+B2p1ymGBEwdcroZ2Uy+arvF8Uknu3W2WXGxAWePfsJghCfEr5lz5c1NVUL566ytex8KnzfL4c2NNyLsZHZgqdXunb3ORW+f+fv6/IKs5rsgFQqDew3/tGHXzDQN/rx15XODr0D+41VC4KUgQ4Qz7X05F8PbYxJPNto9jCJRNqjq/tr//nM3NT6SlrC5t1fNDM8yM7afvr4l/t7j0hIubB8/fzqmsqGW60tOjw27qWAvqPVgloqkapUyuy89KKSvDplnbmptbVFR10dvbKK4vCY476eQ4wNzWpqqw+EbNl3LLjJiTFlMvmQ/hOmjXne3FSbpfWA+6e0vCj60plbOWn5RdkSidTSzLZzB8fevQIM9A0FzVfJ7i+upSc3Wbf+Gyoz69ry9fM1T5/o6uiNCnx84sinDPWNBUG49EeEmbGVrXXnAyHbdh/5tvwO90MlEkl/7xHTx79sZW6nVCnlMrlUKrtvBw3cG7W11cmpMTl5GQXFOfp6hmYmVt27uttZ29+1Yp2yTiqVVlVV7D7y7b5jwf16D3tx5vs1NdX7jgf/fmJLnbK2yVo9unnOmPRKL6c+x8N+3bTjY6WyTvj/75dHx76gq6O/Ovi/DVdg1dXRHzt0xvjhs5WqulXfLbK27PjIw8/r6uifvXiwn/dwkgaIqKa2ev+x4H3Hg6US6StPLffqNTA9K3XfsR8i40/VD9HWMNA38nYNGDtsllMXV0EQUlJjNu/+/PK1uDu17OzgOXPSAhfH3gdCtuYXZU9+6BmFQnd18OLwmOO3F5ZIpGOGTJ8x4ZU6Ze2hUz/9enhToylM6nWyc3jk4RcGeI9I/ONiaUWxn+dQniMBgEaI6wCg3Xvttdc+//xzzc9SqfTGjRudOnVqvsqnn366cOHC+pdxcXEeHtpP4XKfOiD6cRHXPeCqayovxp28EBdy89bVQb5jxgRNl8nkly5HXIw/dfPWleKSArWgNjOxtO/g5OMe6ObsK5PJ45PD9x79LjsvvbqmytTE0s6qc29X/74eQ8xNrZJTo8Mij5gYmfl4BDp07llUkvfLoQ0GekYThs8x0De6euNSTGJYB+sufr2HymWK1JtJMYlnc/MzC0tyDfWNLcxsgvqN79zBsba2JjrxbERcSOqNxILi3OrqSnNTK1sr+96u/v16D7O16pyTn1FRVd61Y3emI8ODo7qmKvlqdF7hreLSAn09Q0sz2x7dPM1NrWpqq8vKiy3MbARBSLoSeSH2RFzy+dyCW1XVFQqFroWpdU8n774eQX09AqVS2eVrsTt//yYnP6OwOEdP18DMxMqpq1tfj6DergMV8sbjR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} ], "programmingLanguage": "r", "text": "#' @width 40\n#' @height 30\n\n#############plot Fig. 2 - figure supplement 2a\nfig.2.figure.supplement2a<-ggplot()+\ngeom_boxplot(data=growth.ecoli.crop,aes(x=time2,y=cfu.change.relative),fill=\"white\",outlier.shape=NA,lwd=1.5,alpha=0.3,coef=0,width=0.4)+\ngeom_point(data=growth.ecoli.crop,aes(x=time2,y=cfu.change.relative),pch=21,fill=\"darkolivegreen\",color=\"white\",alpha=1,size=5,position=position_jitter(width=0.1))+\nannotate(\"text\",x=c(1,2,3,4,5),y=c(2.5,1.5,1,0.5,0.5),size=9,label=c(\"a\",\"b\",\"c\",\"d\",\"d\"),fontface=2)+#statistical significance \nscale_x_discrete(name=\"Time\",labels=c(\"0h\",\"0.5h\",\"4h\",\"24h\",\"48h\"))+\nscale_y_continuous(name=\"CFU change\",limits=c(-0.01,3))+\nlabs(tag=\"a\")+\ntheme(axis.line = element_line(colour = \"black\",size=2),\n axis.ticks=element_line(colour=\"black\",size=2),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=25),\n axis.text.y=element_text(colour=\"black\",size=25),\n axis.title.x=element_text(colour=\"black\",size=30,margin=margin(25,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=30,margin=margin(0,25,0,0)),\n plot.tag=element_text(colour=\"black\",size=60,face=\"bold\"),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15,face=\"italic\"),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key=element_blank(),\n aspect.ratio=1)\nfig.2.figure.supplement2a\n\n#############plot Fig. 2 - figure supplement 2b\nfig.2.figure.supplement2b<-ggplot()+\ngeom_boxplot(data=growth.ecoli.midgut,aes(x=time2,y=cfu.change.relative),fill=\"white\",outlier.shape=NA,lwd=1.5,alpha=0.3,coef=0,width=0.4)+\ngeom_point(data=growth.ecoli.midgut,aes(x=time2,y=cfu.change.relative),pch=21,fill=\"darkolivegreen\",color=\"white\",alpha=1,size=5,position=position_jitter(width=0.1))+\nannotate(\"text\",x=c(2,3,4,5),y=c(0.02,0.02,0.02,0.02),size=9,label=c(\"ab\",\"a\",\"a\",\"b\"),fontface=2)+\nscale_x_discrete(name=\"Time\",labels=c(\"0h\",\"0.5h\",\"4h\",\"24h\",\"48h\"))+\nscale_y_continuous(name=\"CFU change\",limits=c(-0.01,0.05))+\nlabs(tag=\"b\")+\ntheme(axis.line = element_line(colour = \"black\",size=2),\n axis.ticks=element_line(colour=\"black\",size=2),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=25),\n axis.text.y=element_text(colour=\"black\",size=25),\n axis.title.x=element_text(colour=\"black\",size=30,margin=margin(25,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=30,margin=margin(0,25,0,0)),\n plot.tag=element_text(colour=\"black\",size=60,face=\"bold\"),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15,face=\"italic\"),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key=element_blank(),\n aspect.ratio=1)\nfig.2.figure.supplement2b\n" }, { "type": "CodeChunk", "id": "fig2s3", "caption": [ { "type": "Heading", "depth": 3, "content": [ { "type": "Emphasis", "content": [ "S. marcescens" ] }, " growth in vitro." ] }, { "type": "Paragraph", "content": [ "Change in the number of CFUs relative to the mean at pH 5 (CFU change corresponds to single data CFU-value divided by the mean CFU-value at pH 5) after incubation of ", { "type": "Emphasis", "content": [ "Serratia marcescens" ] }, " in 10% honey water (pH = 5) or in 10% honey water acidified with commercial formic acid to a pH of 4, 3, or 2 for 2 hr (GLM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.004, "output": "79.442", "programmingLanguage": "r", "text": "myround(anova(m.serratia.growth.invitro1,m.serratia.growth.invitro10)[2,7],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.003, "output": 1, "programmingLanguage": "r", "text": "anova(m.serratia.growth.invitro1,m.serratia.growth.invitro10)[2,6]" }, ", p", { "type": "CodeExpression", "duration": 0.003, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.growth.ecoli.crop,m.growth.ecoli.crop0)[2,8],3))" }, "). Note that pH-values with zero bacterial growth (pH 2 and 3) were excluded from the statistical model." ] } ], "duration": 0.011, "label": "Figure 2—figure supplement 3", "outputs": [ { "type": "ImageObject", "contentUrl": 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nhQwgEMfX4/hQJ111139fxy06ZN1157bXNzc77y7Ew6nb744otHjBjxwQ9+MN9ZAAAAANgjyUT8PydGVzp+vChau2NUxY5OucxEc1dsaovDRsZXTopDR+YhJ8AQpa6DAnXhhRf+8ddvvPHGRz7ykZ11dcXFxSeeeOKRRx552GGHHXrooWPHjq2qqqqurq6qqurs7GxqampsbNy6detbb721YMGCBQsWPP/8862trb3vc+qpp86dO3f8+PGt/23btm1vv/320qVLlyxZ8vTTT9fX1+8wQEdHx8c//vHly5fX1NQMyPcOAAAAwGCrKI5/eV8cMiLuWhyLNsew0qgsjuJkFCWiOx3t6WjujM5UnHtQfPGEOLA233EBhhR1HRS6Rx555KKLLmpqasqaJxKJD3/4w3/1V3917rnn1tXV7XBteXl5TU3NhAkTIuLkk09+d9ja2vrYY4/dc889P//5z1Op1B8vfuaZZ4477ri77rrr9NNPr639wx+5jjvuuHd/kclkXn755Z/+9Kf/8R//0d7enrVRQ0PDd77znRtuuGFvv1sAAAAA8iWZiEsPjw8dFPctiXn1sbY5ImLJ1pheF3XJmHlgzJkap0yMRO8H7wDYK4lMJpPvDMBOPfXUU2effXY6nc6af/jDH/6Xf/mXY445Zm9u/uabb1577bUPPvhgz2FJScn3vve9yy67bGerVq5cec0119x///1Z8+rq6nfeeWfkSMcgDBFNTU29H5e87LLL7rjjjrzkAQAAYD93wQUXrFixoufk4IMPvvvuu/MUZ/+wpT02tUZHKurKY9ywKEnuwT2uuuqqV155pedkxIgRTz755ABFBBgi9uR3WGBwrF69+qKLLsrq6srKyubOnfvII4/sZVcXEYceeugDDzxw1113lZWV/XHY1dV1xRVXzJ07d2erpkyZct99911xxRVZ86ampptuumkvIwEAAABQKEaUx4wRcdTomFS9Z10dAH3kN1koUJ2dnRdccMHmzZt7Dmtqap5++ulLLrlkADe68MILn3766Z7PUWUymcsvv/w3v/nNzpYkEolbb7317LPPzpo/+uijAxgMAAAAAAD2B+o6KFA/+MEP5s+fnzX87ne/O3v27AHfa/bs2bfcckvPSSqVuvjii7dt27azJclk8t/+7d+SyT/7PeTVV1/N6hcBAAAAAIBdU9dBgfrP//zPrMnHPvaxiy++OEfbXXLJJeeff37PSX19fe8MPR1++OFZSzKZzNNPP52TfAAAAAAAMESp66AQvfDCC6+99lrW8Jprrsnppn//93+fNfmP//iP7u7uXSyZM2dO1mQXR2gCAAAAAAC9qeugEN11111Zk2nTpuXiGMyeZs+ePW3atJ6T1atX33///btY8oEPfCBrUl9fP/DJAAAAAABg6FLXQSFavnx51uSkk04ahH1nzZqVNXnyySd3cf3BBx+c9fq6TZs2DXwsAAAAAAAYutR1UIhWr16dNZk4ceIg7Dtp0qSsycqVK3dxfSKRGD58eM/Jxo0bBz4WAAAAAAAMXeo6KESrVq3KmowePXoQ9h0zZkzWZMWKFbteMmLEiJ5feroOAAAAAAD6RV0HhaitrS1rMjhPrfXeZc2aNbtekslken7Z2dk5wJkAAAAAAGBIU9dBIep9KGXv4zFzofcuWWdd9tbU1NTzy5EjRw5wJgAAAAAAGNLUdVCIpkyZkjWZN29e1nNsAy6TycybNy9rOHny5F0saWtra2ho6Dmpq6sb+GQAAAAAADB0qeugEPUuyVauXPn000/ndNNnnnlm+fLlWcPez/n1tHDhwlQq1XPS++13AAAAAADALqjroBCddtppvYff/OY3c/qA3be+9a0+JvmjH//4x1mT448/fgAjAQAAAADAkKeug0J0/vnn19bWZg1/+ctffuc738nRjrfccssvfvGLrGFJScmFF164syVbt269/fbbs4YnnXTSwIcDAAAAAIChS10HhaiiomKHPdm111579913D/h2DzzwwBe/+MXe87PPPnvUqFE7W3XTTTc1Nzf3nCSTyZNPPnnA4wEAAAAAwBCmroMC9Td/8zdFRUVZw66urk984hPXXXddOp0ekF0ymcy//uu/nn/++R0dHVkfJRKJL3/5yztb+PWvf/2f/umfsoZz5swZN27cgAQDAAAAAID9hLoOCtTRRx997bXX7vCjf/7nfz7yyCPvv//+vdziscceO/bYY6+99todvhLvs5/97OzZs3vP33rrrYsvvvirX/1q71VXX331XkYCAAAAAID9TXG+AwA7dd111z366KOvvvpq748WLVp0/vnnH3744R//+Mc/+tGPHnnkkX2/7eLFi3/+85/fe++9r7322s6umTBhwje+8Y2s4Ze+9KUHHnhg2bJlO1wyY8aMc845p+8xAAAAAACAUNdBISspKfnxj3/8/ve/f8uWLTu8YOHChddff/31118/YcKEI4888vDDDz/ssMNGjRpVXV1dXV1dWVnZ1tbW1NTU1NS0efPmN998c+HChQsWLFi9evWu9x0+fPiDDz5YU1OTNb/xxhu7u7t3uCSRSNx66629T+8EAAAAKCwtXdHYGVUlUV2a7ygA8AfqOihohx122G9/+9s5c+bU19fv4rL6+vr6+vrHH39873esrq5+/PHHjzvuuH6t+uxnP3vKKafs/e4AAAAAAy+diXn18czqmL8+Wrv+MKwojuPGxakT49RJkUzkNR8A+zt1HRS6ww47bN68eXPmzFmyZEmu9xo9evQDDzxw4okn9mvVRz/60ZtuuilHkQAAAAD2ypsN8e+vxKPLoyQZVaVRkoyiRKQzsak13twSdyyIM6fE52bGMWPyHRSA/Vcy3wGA3ZsyZcrvf//7q666KpHI4Y96nXvuuQsWLDj55JP7ter888+/6667iot1/wAAAEDheXJFfOE38dSKOKAqDqyN0RUxvCyqS6O2LEZXxtSamFgdz6yOLz8TDy7Ld1YA9l/qOtg31NXVfe973/vd7343c+bMAb95VVXVbbfd9tBDD40dO7bvq2pqam6//fb77ruvtNRR7wAAAEDh+e2a+N8vxortMbkmqkp2fE1lcUypiTVNcfMr8fg7g5sPAP7AAzGwLznxxBNffPHFe++99/bbb3/66afT6fRe3nDs2LFXX331Zz/72X4VdZMmTbriiis+85nPjBs3bi8DFKbXX389k8lERG1t7dSpU/MdBwAAAOi/tc3xzfmxujEmVMWuzytKJGJcVaxtjn9/JWaMiANrBysiAPyBug72Mclk8sILL7zwwgtXrlz5wx/+8J577nnzzTff7Zb6rqys7IQTTrjyyisvvPDCvj8bd/XVVx9xxBFHHXXUCSecUFRU1P/s+4alS5ceffTR7/76vPPOu//++/MYZvPmzffee++TTz65atWqVatWtba2Tpw4ceLEiUcdddQnP/nJE044IY/ZAAAAoKDdsSAWbo6pNbvp6t6ViBg3LN5siFtfj2+8P/fhAODPqOtgXzVlypTrr7/++uuvb2xsfPHFF+fPnz9//vyVK1du27Zt69at27dvf7fDKyoqqq2tHT58eF1d3YEHHjhr1qxZs2bNnDmzrKysvzvefPPNOfg+Cs5DDz2U7wgREe+8884XvvCFhx9+uLu7u+d8yZIlS5Ys+dWvfnXjjTcedNBBN9xwwyWXXJKvkAAAAFCg1rfEM2tiRHkU9fllQMlEjKqIF9fF8m1x0PBchgOAbOo62OfV1NScfvrpp59+es9hOp3evn17UVFRdXV1oi8/RMZ/u/vuu/MbIJ1O33TTTV/96ldbW1t3feXy5csvvfTSO++887bbbps0adLgxAMAAIB9wLz6WLKl38daVpfGsq0xr15dB8AgU9fB0JRMJuvq6vKdYt/z2muvvfjii3kMkMlkrr766ttuu63vS5544on3ve99v/3tbydPnpy7YAAAALAvWdQQpUVR3OdH696VTERZcSxqyE2miIjoTsdrG+P5tfHO9tjaHomIuvI4ZETMOiCOGNWnczsBGIrUdQB/ct111+U3wDXXXLOzrq6ioqKysrKhYQd/Z1i1atUZZ5zx29/+duzYsTkOCAAAAPuChrZ+d3XvKk7GpraBTvPfnl0TdyyIX62KokSUF0dxMjIRqXT8fGlMGx7vqYsrj4qZ/moPsD/ao/9pAQxFc+fOffjhh/MY4MEHH7zpppuyhpMmTbrxxhvr6+tbWlo2b97c2Nj4xBNPnHnmmVmXLV269LOf/exgJQUAAIDC1pGK5B49qZaM6EwNdJqIrnT8n5fin56P5+tjYnUcNDwmVMXYyhhXGROq4uDh0dQZv1wRX342fvhGZDIDHwCAwqauA4h0On3LLbdcfvnleczQ1dX1xS9+MWv4F3/xF4sXL/785z9/wAEHvPsOwurq6jlz5jz55JPf//73i4qKel58//33P/PMM4OXGAAAAArWiPLoTu/Jwu50jKwY4DDpTHz993Hjy7G1PSZXR2VxZDWJiYjq0phcExta4rp5ccurAxwAgIKnrgP2a2vXrr3llluOPfbYz33uc6lUDn56rs9uvvnmZcuW9ZyceeaZDz74YGVl5Q6vv+KKK26//fas4TXXXJNO79HfRgAAAGAomVQdHalI9/MxtUxERyomVg1wmP+7KO5YEGOGRV15ZDd1PSQSMaYyRpbHg8vi8XcGOAMAhc2764D9y9KlS1966aUlS5YsXLjwxRdfXLFiRb4TRUR0dnZ+/etf7zkZNmzYbbfdVlJSsotVn/rUp372s5898sgjf5y8+uqr999//8c+9rFcBQUAAIB9wqwJMW14tHTFsF39zTpbe3d0Z2LWhIFMsq4l7nozasuitrRP148sj/rmuPW/4n0ToqpvSwDY96nrgP3L//pf/+uHP/xhvlNk++Uvf7lly5aeky996UtTpkzZ7cKbb775scce6/lE3T333KOuAwAAYH93xKiYUBW/XxfDinf1QFuWLe0x64A4fuxAJrlzUSzeElNr+7wgEaMr4uUNcf/SuOTwgUwCQAFT18G+ZPPmzb/5zW/q6+vXrVvX0tKS6+1uvvnmXG/Bu372s5/1/DKZTF5xxRV9WTh16tQ5c+Y8/vjjf5w8+uijbW1tFRUDfc4+AAAA7EOKEnHZkfHr1bGtM4aX9WlJY0e0dMWnDo/Sot1f3Efd6ZhXH9WlUdTnyjAiSouisjieWaOuA9h/qOtg3/Dwww9/+9vffu655wbz/WrqusHR1dX14IMP9pyceeaZEydO7OPyyy67rGdd19LS8sQTT5x33nkDGREAAAD2Fds74oV1Ud8cm1vjuHExf22k0jFydz/V2todG9viU4fH2QcOZJilW6Ops38Hcr6rqjRWbI+t7VFXvvuLN7fGC+tjfUtsbY/KkhhZHseMjenDI9GfjhCAvFLXQaGrr6+//PLLn3zyyXwHGSImT558zDHH7OzTt956q62tbTDzRMTzzz+fdRLmOeec0/flZ511VjKZ7Hke5kMPPaSuAwAAYL+zsjFufz1+vy4Wb4lkRFEyMplIZ2JtS2xuizGVMbx8B+diZjKxtTMaWuOcg+LaEyM5oBXXprZYsjWm1vR7YUkyImJj227qujcb4o4F8dqmeKvHt5zKxHvqYkxlXHRY/MWB/XuwD4A8UddBQVu2bNkZZ5yxcuXKfAcZOr72ta997Wtf29mnxx577GuvvTaYeSLijTfeyJqcdNJJfV9eW1t72GGH9bzJggULBiYZAAAA7BMymbhrcfzgjVi2NYaXx4G1f6i7IiIdsbYpGjtjVVNsbosDhkVlaSQiMhFd6WjpjO0dMbU2Pj49/v74gTwG812NHRERRcndXddLUTKWbI3G9p1ekM7E9/4rfr40lm+L4WV//i1noqkr6jfEc/XxoQPjn94XYyr3KD0Ag0ddB4Vry5Ytp512Wn19fb6DkFsLFy7s+WV5efnRRx/drzvMmjWrZ123ePHiTCaTcOQFAAAA+4n/83Lc+HLUlsXU2uzH45IRE6ujvTs2tEZTZyxvjNJkFCcjnYlMxCEj4tRJ8ddHxFGjcxKstiwiIpWOon4Wgd3pmF4XtTt5tC6ViRvmxdyFUVceU2uzHxlMJqK6JKpLoqUrnlgRDW3xnQ/GpOo9yQ/AYFHXQeG6+uqrdXX7g0WLFvX8csaMGSUl/TvU/vDD/+zV083NzWvWrJk0adIAhAMAAIBCtWLFig9+8INnbZ3y+bXHbCvuaNzeGdt3dX1JcdG47ooNibZfDVvdUNLWUNy+uGNr42ud8T9zlXBKR821cXzF8m1tya5+LaxOlTQWdf3DlXc0FXX2/vTCTdM/tfGwhuK2li1dsaX3539SnEmOfbb11Q98418nvNRa1N2vDAOltbU1L/sC7FvUdVCgnnrqqXvvvTffKRgMWXXdHtRsvZe8+eab6joAAACGtlQqVbkl/eHNU5oSnVujLVK7uz5Sa5LdEzqqS9syd5cviExES24TLoymrXF4XXdZc9Huwv258lTFqyXr61s29/5oeueIU7aM35Zoa4z2vnzLG4qaj2scMydxwNza7JdxAFA41HVQoG688cZdfDp16tSzzjpr+vTpo0ePLi0tHbRUDLjm5uZNmzb1nOxBzTZx4sSsydKlS+fMmbNXyQAAAKDgfax5xkFdw1cXN/bx+u5Eemuy/bj2cdO66paVbM1ptohIR+aFsvqj2kdvLUqkItPHVaWZovJ08Qvl63b46YVNh07srq4vaurj3ToSqcaizg+2TX182PKNxR50AyhQ6jooRCtWrPjFL36xw48OPfTQb37zm+eee+4gRyJHmpqy/3g9YcKE/t6kd13X0NCwwyt/9atf3X333X25Z1dX/47pAAAAgEFWkSk+rn1cY6Ij3ecmLCKaEh1Tumtnt05cVpvzui4iHqledmrb5Ald1Zv6XJWNTFW8Vrb+l8Pe6f3RmNSw6Z0jGpOdmf68sH57ov3gruEntU94qGppP5YBMIjUdVCIfv3rX2cyO/iD5oc+9KG77767qqpq8CORI83NzVmT2tra/t6kujr7fdFbtuz46PoFCxbceuut/b0/AAAAFKAjOkZP7xyxtrivz5m9K5OI1kTXMR1jfxQLchSspy3J9nurF3+1YXZnKr29qH236UamKtcWN8+tfaMjsYOTLo9pH3Ng1/BVJbt8R18vqUSmPZE6pn2sug6gYCXzHQDYgeeee6738Igjjrj33nt1dUNM77quvLy8vzepqKjImmzf3r8/uAMAAMA+Z1yqKhOxw1pr1zoTqZGpipIoykWq3h4ftnxu7Rsj0uUjUhW7eCguETG6e1hDUdsD1Ute3MlJmONSValI9/1czT/qjO5xqWH9XQXAoPF0HRSi1157rffw1ltvraysHPww5FTvuq5397ZbxcXFRUVFqdSf/n7iKEsAAACGvJpUaTrR7+IqIlKRSUTUpEobitoGPNUOfb/2tW3J9nOap03qrt6W7GhNdqZ7fFqUSQzLlAxPla8o3f7jmoVPVe7gGMx31aRLU3v6LVelS4syiT1bDkCuqeugEPV+8djs2bNnzZqVlzDk1IA8XRcRFRUVPW/V2dm5V7EAAACg4LUnupN71D0lEn9YPrB5diEdmXuq33y9bONFTYcd2Dl8avfwzuhOJTKRieJIlmSKVpRsm1dRf1f1olUljbu4T0cilYj+vLbuvyUj0Z1I6+oACpa6DgpR7xePnXvuuXlJQq6l0+ndX9QHWS87HKjbAgAAQMHaWtSRiERRJplK9O9vwSWZZGcy1ZIc7JNpFpc2XD/yt1O7hh/bMXZKV01NqiwTmW1FHe+Ubn+5bN3a4uyf6O1tS7KtOJNIRL9PwyyO5JbBepQQgD2groNC1PuJq5NOOikvSci13i8j7Ojo2IP7tLf/2duqhw1zHj0AAABD3OLSze+UbKtgloucAAAgAElEQVRKlzYn+nfGTEW6ZHFF9o9KD45MxDsl294p2bZnyxeXNiQiUZ4ubkv279HAinTxW6X5+ZYB6At1HRSi4uLirHePjRs3Ll9hyKnevVpW8dYX3d3dPV9cFztqAd919dVXX3rppX25Z3Nz8+TJk/ubBAAAAAbN2uLmdcXNM9vHNSf7UdeVZYpLM0Uvl6/PXbDcWVza8EbZpgM7a/tV11VmSooiuY9+ywD7CXUdFKLS0tKsuq6ioiJfYcipAanrei/ZWV1XVlZWVlbWl3sWF/sfBAAAAIXuoaqlJ7dNrEyXtPb5ZMsRqfJXytc/V7k6p8FyJJXIPFb19j80nFSW6ehIpHa/ICKRibpU+TOVq14r25DreADssWS+AwA7MGXKlKzJhg3+RDU09a7rmpqa+nuT3kt2VtcBAADAUPJ8Rf0vh60Yna4syfTp3znrUuXript/WrOoM/rUdRWgxyuX/76ifkxqWFHfvuWR6co1JU131ixM9/uFdwAMHg9PQCGaMWPGokWLek7q6+vf+9735isPuTNixIisydq1a/t7k95Lampq9jwTAAAA7AtGjx595ZVXRnO66QfbpywrbR9RnCrZxeWZ0uZMWVN6018e8IEzjvzAoKXMgfaGVPsPtx24prxtRFG6aOfXZaK8MVXSmll50QHnnXTkeYMX8M/8+Mc/XrVqVZ42B9hnqOugEH3gAx+4//77e06effbZ887L1x+ryKGqqqpx48atX/+n4+PXrFnT35v0XjJt2rS9TQYAAACFraam5vzzz4+I+EBT/ONvS369OurKo648ihLZl7Z3x8bWmFwTF0w/8qqjj0z2umCf876GuOH5khfWxcjyGF4WiazvKBOtqdjUGgfWxeVHHv+JQ47PT8qIiMcff1xdB7BbDsOEQnTOOeck/vyPWffee28m48iCoWnGjBk9v1y9ut+n59fX12dNDjnkkL3KBAAAAPuQSdVx8xlxzXExtjLe2Rb1zbG5LbZ1xJb22NgaK7bHqqY4YXxcd3JcfUwMga4uIg4dGf9xRnz6yBhREW9vi7XN0dAe2ztia3tsbI3ljbGmKU6ZGP96SnzCPxEA7AM8XQeF6MADD/zIRz7y4IMP/nGyZs2a+++//w8/MsbQMmPGjGeeeeaPXy5ZsiSTySSyfyxuV5YsWdLzy7KysqlTpw5UPAAAANgHVJfG/zw+LjgkfrkiXlgXqxqjIxURUVcWR4yOkw+IUydF6S4OjtwHjayIr86KT26LX62K36+Ntc3RlY5kIkZUxFGj4v0TY/aEIdJNAuwH1HVQoK677rpHHnkklfrTe48///nPz5kzp6qqKo+pyIXp06f3/HL79u2LFy8+9NBD+36HF154oeeX73nP/8/encZXVd/5A//em40tYQeRXRSVxR0VpbbKaN2tWjt1tFjbOjoz1DozTmurdZsWbX212vHf6rRTGLWOY11BaxWxapFitRUFqhUXdsKOEBKy3vt/UEfThCWBJOeGvN+PuN9zfuf34YEg95NzzgF5eXvXv0AAAACgKQZ1iy+OiS+OiYjYVhv56SjY258uNqJHjOgRlx0SEVFeE53yt/MsUABy3t7+1xW0W0ccccTXv/71+pMVK1Z85StfqV/gsXeYMGFCg0mD+m3nqqur582bV39yzDHHtEAsAAAAaNc65+/9XV0DXQt0dQDtVAf7GwvalRtvvPGkk06qP3nwwQcnTZqksdvLjBs3rm/fvvUns2bNavryuXPnVlVV1Z+cddZZLZMMAAAAAIDWp66D3FVYWDh9+vQGd0r9z//8z3HHHbdw4cKkUtHi0un0qaeeWn/y2GOPbd26tYnL77vvvvofO3XqdPLJJ7dYOAAAAAAAWpm6DnJat27dnnvuuXPOOaf+8JVXXjnyyCOvvPLKt956K6lgtKwzzzyz/seKioqHHnqoKQsrKip++ctf1p+cdNJJXbp0aclwAAAAAAC0JnUd5LquXbs++uijN910U35+/kfD6urqO++8c9SoUZ/4xCduvvnmZ599dtOmTQmGZA+dc845AwcOrD+5+eabt23btsuFt9xyS1lZWf3JP/7jP7ZwOAAAAAAAWlP+rk8BkjBnzpz6HydOnFhSUnLttddWVFTUn7/00ksvvfTSX35dWFjYs2fPHj16FBQUtEiGBQsWtMh1OqBnnnnm5Zdfrj/p1KnTN77xjR2dX1RU9I1vfOPKK6/8aLJkyZJ///d/nzJlyk52efPNN7///e/Xn4wbN+6MM87Y3dQAAAAAACRAXQc5asKECc1dUl1dvWbNmjVr1rRGHprl6aefvuOOO+pPevTosZO6LiIuu+yyKVOmrF69+qPJrbfeOnDgwH/6p3/a7vlvvfXWqaeeWl1dXX9444037n5oAAAAAACS4GGYADmhU6dOd955Z/1JNpudPHny5ZdfvmzZsvrz8vLyO++8c8KECcuXL68/P++8804//fS2yAoAAAAAQMtxdx1ArvjsZz97zTXX3HrrrfWHP/3pT6dNm3bkkUfuv//+BQUFixcvfv311z/44IMGa8eOHXvPPfe0YVgAAAAAAFqGug4gh3z3u9996623pk+fXn9YU1Pz8ssvN3gZXn0DBgyYPn16t27dWj8gAAAAAAAtzMMwAXJIOp1+9NFHv/vd7+bnN/XHKU499dQ33nhj+PDhrRoMAAAAAIBW4u46gNySTqe/9a1vfepTn7ruuuteeOGFbDa7ozP322+/q666avLkyalUqi0TAgAAwN7j3Q9i3pp4fW2sLo+I6FkUh/ePQ/vFqN6R9s9tANqIug5y1MKFC5OO0BHNmzevRa5z++2333777XtyheOOO+43v/nNkiVL7rnnnj/84Q/Lly9fsWJFRUXFoEGDBg0aNHLkyAsvvPCEE05Q1AEAAMDuqMvGr9+Pe/8Ub22ItRWRiYiIVEQ24r43o3eX2K8k/m5UnD8yivISjgpAB6Cugxw1evTopCOQvGHDht1www1JpwAAAIC9y5ryuH5O/Or9yGSiNhv5qShMRyoVkY1sRCYbG7bFB5Uxb2088W7cNCFG9kw6MQB7Oe+uAwAAAAA6jCWbY/Jz8dTiiIhsRKf8yM+LD59ek4pUKvLSUZSOiKjNxOxVcdVz8erqBPMC0BGo6wAAAACAjmFzVVz3UrxSGqmITDYKdvSgy1TkpyMvHTW18ebG+M7cWF7WpjkB6GDUdQAAAABAx/Cz+TF7ZURETV3k7+qr0fx05KUik4031sUPXm2DdAB0WOo6AAAAAKADWLo5Zi6JgnRU1u66q/uL/Lyoro38VCxcH3NXtXI+ADoudR0AAAAA0AHMWhZvb4xMXeSl/+9ldU2Ql46aTCzeHDOXtGI2ADq2/KQDALnl3/7t3yorKz/6+KUvfenwww9PMA8AAABAy3h5VRTlRWVdpJvc1UVEOh2VtdGjKP6wOmozTb0tDwCaQ10H/JUnnnji7bff/uhj9+7d1XUAAABAu5fNxoqyyEtHVVUU5TVjYSoiUpFOx7ba2LAt+ndtrYQAdGB+GAT4K5s2bar/8dVXvUgZAAAAaP/Ka6ImEx/eVtecu+v+cno2GxGxsXJXpwLA7lDXAR9btWrV2rVr608WLVqUVBgAAACAFlOUH6lUZP7yIdvMxdkPC77OnlUGQKtQ1wEfymQy3/jGNxoMN2zYkEgYAAAAgJZUkI7uhR8Wdc1u61KRTUVE9O7c4rkAILy7DtqddevWrVq1qrS0tLy8vKWumclkli1b9sgjj8ydO7fxoZbaBQAAACBJY/rGvDXRKT9qM5HX5OdhZrJRlBeZTAzrHsWFrZkPgI5LXQftw7Jly6ZNm/bwww8vXLiwLfcdNmxYW24HAAAA0FomDIypC6IwHVV1kdfkVXWZKMiL6kwct28rZgOgY1PXQa6rq6u78847r7vuuha8na7p1HUAAABAbtq6deusWbOafn6qNnvIqKKeb1am8iNVU5ttwg12qWyk6rK1mUz5kKI3eq2qmbVmD/J2UJs2bUo6AkA7oK6DnFZXV/f5z3/+4YcfTirAqaeemtTWAAAAADuxZs2aa665pllLxlUOuLLuqKG13Ttl8mvranf+DrtUREE2rzJVm9qWumPdi09+5909SdtSUhFdMgXb0rWZZr+CD4Dcpa6DnHb55Zcn2NXtt99+l19+eVK7AwAAALSsVzuV/qrbe5M3HVmTrivI5NWk6nZUeaWykZ9K16TqUpF+qPitX3VLuKs7uLrPsdv2HVvVt3emczqbyqZiU7pyQdHaVzqtml+0LtlsAOw5dR3krscff/znP/95UrsPHjz4F7/4RUFBQVIBAAAAAFrcL4vfSkWcvfWAYdXdC7LpulS2rtFtanmRzotUXWQi4n9L/vTT7q8neCPbwNriSVvGjKrqM7S2e0WqpiaVqYtMXqT71nY5rKr/JyuGvFOw6b7uCxcXfJBcRgD2lLoOclR1dfXVV1+dyNaDBg0666yzbrnllu7duycSAAAAAKCB4uLiFrlOJrIPFL/5XsEHF28ZfXTlgHQ2lR/pTESkstnIpiOVyqYyEZnILCxa98viP8/qsjjBru6Iqn3+YdPhB1T3/iBv29L8zY1P6JYtPGnb0GE1JT/vMX9O5xVtn3A3dOvWLekIADlHXQc56v7773/vvfe2eyiVSh1zzDEjRowoLi7OZDLvv//+vHnzNmzY0OC0I488cty4cY2XV1dXr1279uWXX16/fn2DQ0OHDn3uuedGjBjRIr8FAAAAgJZy0kknLViwoKWu9kqnVfM6rRlfse8ntw05vLJ/j0yngmw6IlWbqivLq/pT0foXOi+d3Xl5Rbq2pXbcDWOq+n5t01EDa4pX5W+pS22/NNyaqq7IrxlUV3L5B4fXReblzqvaOORumDhxYtIRAHKOug5y1IMPPrjd+dlnn33nnXcOGTKk/rC6uvqyyy6799576w9TqdRdd921o+vX1dU98sgjV111VWlp6UfDpUuXTps27Tvf+c6eZQcAAABoYRdeeOGiRYt+/etft9QFa6Lut12W/7bL8ogozOZ1yRZks1GTrqtI1bTUFnuiV6bz5A+OHFRbXJq/dee392UiuyavfEBdt69sPmxpwZbS/K1tFHG3nHDCCV/5yleSTgGQc1LZbII3cwPbt2HDhn322ae2tuEPcH3xi1+cNm3ajladfPLJs2bNqj9ZsGDBmDFjdrLR2rVrTz755Pnz5380SaVSDz/88Hnnnbdbwdl7lJWVlZSUNBheeumlU6dOTSQPAAAARMT777///vvvJ52iLez36IahT2yo6FeQzUs15fxUJjqvrV55Uo93Lu7X2tl225AhQ0aOHJl0CoBc5O46yEW//e1vG3d1Q4cOvfvuu3ey6uqrr25Q1z399NM7r+v69ev3wgsvjB8//u233/7LJJvNXnLJJQceeODo0aN3KzsAAABAa9lvv/3222+/pFO0vvUV8f1fRZ+uxT07N2NVtnLoivyhB4yLod1bLRkArSKddABgO7b7KPZvfetbRUVFO1k1ceLEBm9dfv7553e5V8+ePR9++OEuXbp8NNm6deuXvvQlt94CAAAAJGPOqvjzxijZ2RdB21FSFO9sijnt4PV1ADSgroNc1Liuy8/P/+xnP7vzVfn5+ePGjas/ee2115qy3ZgxY370ox/Vn7zyyis7enkeAAAAAK1rwbooTEdBM7+8zUtFUX4sWNc6mQBoReo6yEXvvPNOg8lhhx3Wq1evXS489NBD639cvXr1+vXrm7Ljl770pYMPPrj+5Jvf/GZVVVVT1gIAAADQkjZWRkHe7iwsSMe6bS2dBoBWp66DXLRly5YGkya+Se6ggw5qMHnzzTebsjCdTl9//fX1J0uWLNn5q/IAAAAAaBXbaiOd2p2FeamorG3pNAC0OnUd5KKysrIGkyFDhjRl4f77799gsmjRoiZuesEFF/To0aP+5H//93+buBYAAACAFtOzU9RmdmdhbSZ6dW7pNAC0OnUd5KLGdV1xcXFTFg4fPrzBpOl1XV5e3sSJE+tPfv/7369evbqJywEAAABoGQO7RXVdZLPNXJaNyrrYt2urRAKgNanroH0oLCxsymmDBw/Oy/urJ5u/9957Td/l5JNPrv8xm83OmDGj6csBAAAAaAHH7ht12aho5mMtKzNRm4ljBrROJgBakboOclHv3r0bTMrLy5uyMD8/f/DgwfUn77zzTtP3HTFiRIPJiy++2PTlAAAAALSAQ/vGhIGxqbJ5qzZui6P6x7H7tk4mAFqRug5yUa9evRpMNm/e3MS1DV5ft2jRotrapv4oVr9+/RpMSktLm7gWAAAAgJaRn45Lx0RFbWypauqSrdWxtSYuHhWd81szGQCtQl0Huajx3XVNfwVdg7quqqqq6Wsb7+vddQAAAAAJmDg0Lhkda7dFRc2uT95WG6vL44KRcfb+uz4ZgNyjroNc1Pgut3nz5jVx7QEHHNBg8sc//rGJa9etW9dgoq4DAAAASEA6Fd86Nk4fHiu3xgeVkd3RednYXB0ryuKkoXH9cZHv+16Adskf35CLjjnmmAaTpUuXNrGxGzlyZIPJc88918R9Fy9e3GBSUVHRxLUAAAAAtKTO+XH7SXHZIdGjUyzdHB9URV3m46N12dhSFcvKonthXDwq7pwY3YuSywrAHvEgY8hFn/rUpxoPf/KTn/zsZz/b5drRo0c3mMycOTOTyaTTu67n33///QaTxm/RAwAAAKCNFOXFdePj08Ni2sJYtCkWbYq8VKRTkclGXTZG9oxD+sUXR8eEQUkHBWCPqOsgFx122GElJSVbtmypP5w6deqXv/zlY489dudrhw0b1mBtaWnp008/ffrpp+9y37lz5zaYNH6bHQAAAABtatyAGDcgVm2NP6yONRWxuSqKC6N/lzhynxhcnHQ4AFqAh2FCLsrLyzvxxBMbDDOZzFlnnTV//vydr02lUuPGjWsw/MEPfrDLTRcuXPjYY481GA4a5IezAAAAAHLAvt3i7P3jskPi6nFx+aHxmQN0dQB7DXUd5Kivfe1rjYfr168/+uijb7755g0bNuxkbeOq7ze/+c0DDzyw8x1vvPHGTCbTYHj88cc3ISwAAAAAALCb1HWQo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ZGRkT4+PrUbW4tVRA3i1QkJCXn44Ydr14mnp6epQ3744QfpLdM8PT3N+Y4hCELHjh0nTpworcfExOgb0q1bN9mbrhm/wG7btm1ayS3QOnXqNHToUAOjVCpVRESEtB4XF2f4ctK4btiwYYIgjBgxQlSv8fZ1iYmJZWVloqKdnZ2BRZ8LFiw4JfHqq68a7tmA6pu01SfrefsZ4OnpadIt9AAAAKwZcR0AAACgpPDw8FrvkFZl8uTJzZs3l9bPnj1rzrSNzJ07d65fvy6tz5w508yZw8PD3d3dpfWkpCQzZ1ZWeHh4rceautilobw6tduWs4qDg4OpQxITE6XFcePG1WIqkbFjx0qLly5dqqio0DfEzP0wZXfCnDVrlnR3ShHZuC4+Pl4a/lW7detWWlqaqBgaGiro2abV8H6YsjthDh482M3NTd+QTp06DZBo06aNgasYJvu3o65Z1dtPn6lTp5rfDwAAgJUgrgMAAACUJPshuEmaN2/+2GOPSevEdbpkt7MTBEF2s0STODg4jB8/Xlpv6M//wIED6+1aDeXVqc/nRBCEkydPSouyfxxTDR8+XFqsqKj4448/9A2ZOnWqtHjx4sUabyMnCEJKSsqFCxekdWPi2DFjxkj3TszNzZWdsMrRo0dFFXd396ptMENDQ6U3nKtFXPfoo48aGGJZFRUVv/76a71drppVvf30GTBggPn9AAAAWAniOgAAAEBJFvm0cciQIdLixYsXpXu41SgqKkpbZxS8nZtsINSxY8dabFEo1a9fP2nx3LlzBhYAWTlHR8c+ffrU2+UayqsTHBxsfj9GKiws/O2336T1kJAQ8yfv1q1bs2bNpPVLly7pG9K1a9e+fftK67t3767xcrJL6wYOHNitW7cax7q7uw8aNEhaN7AfpnQnzKFDh1Yt43Nzc5PeQ87A7euKi4vPnDkjrddnXDd//vy8vLx6u1wVa3v76SP7txsAAKCBIq4DAAAAFOPq6urn52f+PEFBQdJieXm57OetTVNycrK0KP3gvnZkb+tVUFDw559/WmT++ufp6WlnZ1dvl2sQr46Dg4Psvpp15OzZs9I7lrm6unp5eVlk/tatW0uLOTk5BobUbj9MrVa7bds2aX327NmGB1aLjIyUFmNjY/WdL43rqnbCrCJ7+7qEhATZqU6cOCHdobFDhw69evUy0LBFVFZWxsTEjB079ptvvqnra0lZ4dtPytHRsUePHhbpBwAAwBoQ1wEAAACKCQgIqPHWTcbo06eP7N3CFFzNZm3u3r0rLcoGObWgb576XxNjKfWZSwkN5NWp5+ckPT1dWuzataul5pfNS+7cuWNgiOx+mOfOnZPeKE5XYmKi9AQHB4cnnniixiaryN6+7tixY5WVldJ6Tk6OdE/FYcOGVX9t0u3r6m0nTLVafePGjfj4+C+//HLRokVhYWEeHh5jxoz56aefLH4tY1jh20+qVatW0q1NAQAAGq76+31JAAAAACI+Pj4WmcfR0dHHx0f6mfi9e/csMn8jIPtUtG3b1iKTt2zZ0sXFRbqfXsN9/t3c3Orzcg3i1ann5yQ/P19a/OWXXywS8OtjOC/x8/MLDAz85ZdfRPXdu3e//vrr+kbJ7oQ5bty4Vq1aGdlV375927Vrl5mZqVssKio6c+bM4MGDRScfP35cVHF1ddVdqTl06FA7OztR1FfPcd3NmzdTUlL++OOPy5cvX7t27dq1azdu3JBNH5VihW8/qXr+KwkAAFDXiOsAAAAAxbRs2dJSU8l+cNlw4yKLk/30uUWLFpaav0WLFo0prnN0dKzPyzWIV0d2AWvdkV1xWNfu379v+IRp06ZJ47pdu3bpi+sqKip27twprRu/E2aViIiIDRs2iIqxsbHSuO7o0aOiSkhIiK2tbfWhi4tLcHDwyZMndc85d+5cYWGhq6urbrGoqCgpKUk0m5OTk3Q7TWNcunRpz549R44cOXPmTI3Ps+Ks8+0nQlwHAAAaGfYNAAAAABRjwbhOdirZFKRpks1m6vr5b7hxXT3j1ZFSJC+R3qdNRHY/zNOnT9+6dUv2/J9++ik3N1dU9PDwkL0dnQGy+2HGxcVJi4ZvXFdF9vZ1J06cEBUTEhKkK95GjBjh7OxcY8O6oqOj+/fv37NnzzfffDMmJsb6szrBWt9+Iqa+EAAAAFaOuA4AAABQTPPmzS01FXGdYdLFVYJFn3/RupwqVh4IWQ9eHSlF/vKWl5cbPqFLly79+vUTFbVa7Z49e2TPl90JMyoqytSlimFhYdIhJ0+eLCkp0a3k5+cnJyeLTtO9cV0V2eVx0v0wzd8J8+rVqxMmTIiMjDx79qzxo0SCgoKCgoJqPbx2rPPtJ1KnO3MCAADUP+I6AAAAQDEPHjyw1FRlZWXSop0du9//f7LZT3FxsaXml/2guZ63T2y4eHWkbGwU+N+6Mcubpk2bJi3u3r1bWnzw4MG+ffukdVN3whQEoUWLFiEhIaJiWVlZQkKCbiUhIUGr1epWmjVrJs0XQ0JCHBwcREUj4zrj1wV+/fXXvXr1OnDggJHn6/L09AwPD//ggw8uXLiQlJQUHBxci0nMYbVvPwAAgEaM/70DAAAAirHgrmiye5e1atXKUvM3dO7u7tJw1ILPv+xSLXd3d0vN37jx6kjJttelS5fAwMC6u2hAQECN50ydOvWNN94QFU+cOJGVldW2bVvd4t69e6WZa7du3fr371+L3iIjI6WJWlxcXFhYWPWhdCfMQYMGSZO5Zs2aDRw4UHSy6PZ1BQUF0rv09ezZs3PnzsZ0u2fPnnnz5qnV6hrPdHBw6N69+0MPPeTn59e1a9fu3bv37NnTy8vLmKvUHat9+wEAADRixHUAAACAYgoKCiw1lezeZVYeSNQnNze39PR0UdGCgZDsVMSlRuLVkZL9yxsaGrpx48b6b0ZXp06dgoODRbs7ajSavXv3Lly4ULe4detW6fCnnnqqdteNiIiQxoSxsbG6h8bcuK7KyJEjRSdX3b4uPDy86vD48ePSsM3IpXVxcXFPPvmkgazO29s7LCxs9OjRQUFB3bt3t8Jl0Fb79gMAAGjE2AwTAAAAUExGRoZF5tFqtTk5OdI6cV01Nzc3aTE7O9sik5eXl8sGQjz/RuLVkZJNEy0Y8JvDmP0w79y5ExMTIzpHpVLNmDGjdhft3bt3+/btRcVz585VL50sKiqSroeT3riuSo23r6v1jes0Gs2CBQtkdyeuuu6BAwcyMjI2bdo0e/bsXr16WWFWJ1j32w8AAKCxIq4DAAAAFHPhwgXRnZZq5/Lly4WFhdK6lQcS9Un20+cLFy5YZPKUlBSNRiOt8/wbiVdHSrY92UW09W/q1KnS4tGjR+/cuVN9uGPHjsrKStE5oaGhHTt2rPV1pYvbNBrN0aNHq75OTEwUXdHBwWHgwIGyUw0cOLBZs2aiouG4rkWLFkOGDKmxyYMHD165ckVad3Z2/u677+Li4saNG6fIneFMYs1vPwAAgMbK2n9GBAAAABqxgoKC69evmz+PaGO6aj169DB/8sahV69e0uKvv/5qkcnPnTsnLdrZ2Rl5myvw6kj5+flJi5cvX67/TqQ6duw4YMAAUVGtVn///ffVh99995104OzZs825ruxelNX7YUp3wuzfv7+Tk5PsVA4ODiEhIaJi1e3rBEG4d+/e+fPnRY+GhYXZ29vX2OQ//vEPadHe3j46OvrJJ5+scbiVsOa3HwAAQGNFXAcAAAAo6fTp0+ZPkpiYKC36+Pj4+vqaP3njIE0XBEFIS0vLy8szf3LZQKhPnz7Ozs7mT94U8OpIBQYGOjo6iorp6ekWvKWfOWT3w9y1a1fVF9evXz916pTo0WbNmk2ePNmci44aNcrBwUFUjIuLq/rC+BvXVRk5cqSoUnX7uqqppCsyjdkJMy8vr3q1n67XXntN37ac1snK334AAACNEnEdAAAAoKSdO3eaOUN5ebnsJIMGDTJz5sZENhASBGHv3r1mzqzRaPbv3y+t8/wbj1dHytHRMTAwUFrX3bCx1ioqKjIkbt++bfwMU6ZMUalUomJcXNzdu3cFQdi6dat0yOOPP96iRQtz2m7evLk09EpJScnOzi4tLT1z5ozoIcMJmYHb10l3wlSpVBERETV2mJaWJltfuHBhjWMNKC8vN2d4LVj52w8AAKBRIq4DAAAAlHTo0CEzbwh04MCB3NxcaV3fTZuaJm9v7w4dOkjrW7ZsMXPmmJiYzMxMaZ3n33i8OrJkM8Xt27ebP/O///1vX4kXX3zR+Bk6dOggfQ4rKyurwlHZnTBnzZplTs9VZPfDjIuLO336dFlZmW7Rzs5u8ODBBqbq16+fq6urqKgvrgsMDPT29q6xvRs3bkiLDz30kOzb23iKRFnW/PYDAABolIjrAAAAACWVl5d/++235szw2WefydYNbwTXBMk+IceOHbt27Zo5027cuFFaVKlUQ4YMMWfapoZXR0p2cdjevXtlMyGT/Otf//LSua0AAA6TSURBVJIWR48ebdIk+vbD/OWXXy5duiSqe3t7h4WFmTS/LNklbnFxcdKdMAMDA11cXAxMZWdnN3ToUFExKSkpLS3t4sWLoroxO2EKelbXGZPzGaBWqy2yZ7KprPztBwAA0PgQ1wEAAAAKe+edd2q9wG7Xrl3ShSCCIPTp06dfv37m9dXYzJ07V1rUarWLFy+u9ZynT5+W3Yl01KhRnTp1qvW0TRCvjlRkZKQ06SkrK1u6dKk50+7evTs5OVlaNzUvkd0PMyYm5vPPP5eePGPGDFtbW5Pml9WjR4/OnTuLirGxsdI7xhlzrzjp7evUavWqVau0Wq2obmRcV1paKi1WVFQYM1afPXv23Llzx5wZasfK334AAACND3EdAAAAoLC8vLwVK1bUYmBhYeErr7wi+9Dzzz9vVk+N0bBhw3r27Cmt7969OzY2thYTajSav/zlL9JP9gWzb1XVBPHqSNnb28+fP19a37Ztm+xuk8YoKSl54403pPW+fftKYzDDfH19pfsllpeXy65onD17tkmTGyDdDzMtLU26us6Y5cWyt6/75ptvRBVPT08jf/uhTZs20qI5y9Fu37798ssv13q4Oaz87QcAAND4ENcBAAAAylu3bt2OHTtMGlJeXj5lypSMjAzpQy4uLjNmzLBQa43KggULZOtz5sy5deuWqbMtWbIkKSlJWvf19Z0wYcL/a+/+Y6Iu4wCOcwdEBAwEjr5wIUJKTpCgAENwQS4Yg91cSEoo/gJzhdG0Vo7ZtJ2/sqmZwXBoGmoqydxq1YKkwQq9KZvNTOIGQgwB7aQZKL/7g8Ua3+8ddwdyP3y//uP58eHjPc8/3ofneUxO7pHH6oi9/vrrTk5O4vbc3FyNRmNGwLy8vKamJnH7pk2bzIgmeR+muEQaERERERFhRnxJks/XjTvBJpfL4+PjJwwVGRk5Y8YMw6EcHBxSU1PlcqO+PPHz8xM3dnZ2XrlyxZjp49y9ezc5OfnWrVtmzDVAsoYtycq3HwAAgJ2hXAcAAABY3sjIyKpVqySvtZQ0MDDw2muv/fDDD5K969ev9/DwmLrs7EdOTo6Pj4+4/c8//0xJSfnrr7+MD7V79+69e/dKdhUUFEzJvX+PGlZHLCAgYPny5eL2Bw8eLFmyxNSSyXvvvSd5LkqpVEr+lglJ3ocptmrVKjOC65OUlPT4448bHhMRESGuw4nJ5XJjDuFJFgglxcTESH4garXayAhjrl27FhcXd/XqVX0DhoeHTY05amhoSPLSTjEr334AAAB2hnIdAAAAYBX6+vpSUlJ279494Zew165de+GFF86dOyfZO2vWrO3btz+EBO2Bl5fXZ599Jtn1+++/x8TEGFMx7e7uXrt2rb4HnKKjo/XdUArDWB1J+/fvl7xi8datW/Hx8Tt37jSmbKPT6bKysj766CPJ3m3btjk7O5uRm1KpnPAQm6OjY1ZWlhnB9XF1dU1MTDQ8xpiH60aJn68bx8nJKSUlxchogiA899xz4vbz58/v37/fyCDDw8NHjhxZsGBBQ0ODgWGtra1GBhTr6OgwcqQ1bz8AAAA7Q7kOAAAAsBYDAwNbtmyJi4s7efLk/fv3xQMuX76cn5///PPP19fX6wtSUlLi7u7+MNO0bcuWLcvIyJDsam5uXrx48Zo1a+rq6iQH3L59+9ChQ+Hh4Z9//rnkABcXl+PHj0teHwdjsDpivr6+hw8fluwaHBwsLCyMioo6dOiQTqeTHHPnzp29e/fOnTv39OnTkgPS09Nzc3PNTk/yPsz/e/nll/39/c2OL2nC427GnJkbJfl83f8tXLjQy8vLyGgO+j+QTZs2ZWZm/vbbbwbmDg0NnT17dv78+bm5ub29vYZ/UUVFhdkH7Iy/e9nKtx8AAIA9sbH/qAAAAAD2JDAwUPwol0ajWbFihaenZ2xsbGBgYEBAQHd3d2tr6/Xr17VareGAubm5ycnJDy1fO1FcXFxbW9vV1SXuGhkZOXbs2LFjx0JCQuLi4pRKpb+//z///NPW1tbY2FhTUzM4OGgg8o4dO+bNm/fQEn8ksDpiKpVq3bp1R44ckez99ddfN27cuHnz5oULF86aNSswMFChUNy7d6+jo0Oj0dTX14sfYxujUChKS0snk1tGRsbbb79toG6Uk5MzmfiSUlNTDQ9YtGiRkaHCwsL8/Pwk99so42/CHPXmm28eOHBA8sG5r776qqKiIiMjIy4uLjg4OCQkxNfXV6fTdXV1abXaysrKqqqq7u5u8cSgoKCWlpZxjb/88svq1av37NljuBrq6uoqbvzwww/v37+fnp4uCIKjo+O9e/e0Wm18fLynp6d4sDVvPwAAAHtCuQ4AAACwmPXr1+t0OslL0v7+++/KykqTomVkZBQXF09RavZMoVBcuHAhOTm5vb1d35impqampiaTwhYWFm7evHnS2T3qWB1JxcXFPT09+o4oOTg49Pf3//TTTybF9PX1raqqkrzq0HgBAQEJCQk1NTWSvR4eHkuWLJlMfEmzZ8+eM2dOY2OjZO+8efMUCoWRoWQyWWJi4tmzZ/UNSEtLMyk3Nze3nTt3rlmzRrJ3eHi4vLy8vLzc+PS2bNmydu3a2bNni3vLysrKysoEQfD09FSpVJK3TQqCIP6jkN7e3u3bt4+7NvnGjRuS5ToHK95+AAAA9oTLMAEAAACLkclk+/bty8/Pn3yozMzM06dP29xFf5YSFhZWW1sbHBw8VQE//vhjtVo9VdEecayOmLOz88mTJzds2DBVAf38/KqrqyMiIiYfKjMz00CX5OmuyTNw6M34h+tGGXi+LjAwMDw83KRoDg4Oq1evLigoMHWWmLu7e3l5+Y4dO55++umnnnpK37COjo6GhgbJ+5MdHBwmfOfPGNa8/QAAAOwG5ToAAADAwg4ePFhYWOjo6GjedLlcXlBQcOrUKWp1JgkJCamtrZ3w5aoJeXt7l5WV2fTJLSvE6ojJ5fLi4uJdu3ZNvgCWmppaX19vRiFKUkZGhlwu/d3CypUrp+RXiBko1xn/cN0oA9vM1KN1Y/bt27du3Trz5o6KiYm5ePHi2FOO6enp5sXJy8tzdnaeTCajrHb7AQAA2A3KdQAAAICFyWQytVp96dKlZ5991tS50dHRGo3mwIED1OrMoFQqL1y4UFFRERISYsZ0Jyent956S6vVrlixYspzA6sj6f33329oaMjOzpbJZGZMFwTh6NGj3377rVKpnKqU/P39Jd+KmzlzpqmVM+O9+OKLTzzxhGSX8Q/XjQoNDdX3aZhdrpPL5aWlpSdOnPDw8DB1blBQ0KlTpy5duhQWFjbWuGvXrsDAQDMymTNnzp49e8yYKMkKtx8AAIDdkI2MjFg6BwAAAMD+bd26VXwdn1qtLiwsHPtxYGCgqKjoiy++qK+vNxzN0dExKSkpOzs7JydH37kWGK+vr6+0tPTcuXO1tbWDg4MTjg8KClKpVG+88cbcuXOnIb1HHKsjSaPRHD58+Jtvvuns7DRmfFxc3MaNG5cuXTolZ63GiY6OvnLlyrjGwsJCW7+DdPJu375dVFRUVFTU1dVleKRMJouNjc3KytqwYYOLi4t4QF1dXXZ2dnNzs+T0/Pz8Tz/9VF/wM2fOfPDBB3/88YeBBG7cuPHMM88YTnKMVW0/AAAA+0C5DgAAAJgOxpTrxmi12vLy8suXL3f8x9nZOeA/8fHxr7zyikKhmJbEHy1379797rvvqqur29vbOzs7Ozs7u7q63NzcBEF48sknBUEIDw9XqVTz58+3dKaPIlZHbGRkRKPRfP311w0NDaOfSUdHx4MHD7y9vb29vX19fSMjIxctWpSQkCAIwkPK4erVq5GRkeJ2k8o/9q2vr6+urq6mpubnn39ua2vT6XQ6nc7V1VUQBEEQ/P39ExMTVSqVv7+/4Tj9/f0lJSXff//9zZs3W1paZDKZt7d3aGhobGzs0qVLo6KiDMwdGhr68ssvKysrR+e2t7e7uLi4u7v7+fmFhoaGhoa+8847M2bMMOnfZQ3bDwAAwG5QrgMAAACmg0nlOgCwFQUFBQcPHhzXuGDBgosXL1okHwAAAMAWcW0OAAAAAAAwR19f34kTJ8TtK1eunP5kAAAAANtFuQ4AAAAAAJjj/PnzOp1uXKOzs/Py5cstkg8AAABgoyjXAQAAAAAAcxw9elTcmJaW5uPjM/3JAAAAALaLch0AAAAAADBZa2trVVWVuD0nJ2f6kwEAAABsGuU6AAAAAABgsk8++WR4eHhco7e3d1pamkXyAQAAAGwX5ToAAAAAAGCaO3fulJSUiNuXLVv22GOPTX8+AAAAgE2jXAcAAAAAAEzQ39//6quv9vT0iLvy8vKmPx8AAADA1lGuAwAAAAAA0rRabXNz89iPw8PD1dXVSUlJ1dXV4sEJCQlRUVHTmB0AAABgJ5wsnQAAAAAAALBSx48fV6vVbm5uCoVCJpO1tbUNDAzoG/zuu+9OZ24AAACA3aBcBwAAAAAADOnp6ZG8+vL/XnrpJZVKNT35AAAAAHaGyzABAAAAAMCkeHl5FRcXWzoLAAAAwFZRrgMAAAAAAOZzcXE5c+ZMaGiopRMBAAAAbBXlOgAAAAAAYCaFQvHjjz8mJydbOhEAAADAhlGuAwAAAAAA0uRyvd8beHl5bdu2rbGxMT4+fjpTAgAAAOyPk6UTAAAAAAAAVmrr1q3R0dFlZWXXr19vb2/v7e318fGJiIhYvHhxXl6ep6enpRMEAAAA7IFsZGTE0jkAAAAA9u/mzZstLS3jGoODg2fOnGmRfAAAAAAAgJWgXAcAAAAAAAAAAABYDG/XAQAAAAAAAAAAABZDuQ4AAAAAAAAAAACwGMp1AAAAAAAAAAAAgMVQrgMAAAAAAAAAAAAshnIdAAAAAAAAAAAAYDGU6wAAAAAAAAAAAACLoVwHAAAAAAAAAAAAWAzlOgAAAAAAAAAAAMBiKNcBAAAAAAAAAAAAFkO5DgAAAAAAAAAAALCYfwELs1NrvgqepAAAAABJRU5ErkJggg==" } ], "programmingLanguage": "r", "text": "#' @width 40\n#' @height 30\n\n#############plot Fig. 2 - figure supplement 3\nfig.2.figure.supplement3<-ggplot()+\ngeom_boxplot(data=serratia.growth.invitro,aes(x=ph,y=cfu.change.relative),fill=\"white\",outlier.shape=NA,lwd=1.5,position=position_dodge(0.6),alpha=0.6,coef=0,width=0.4)+\ngeom_point(data=serratia.growth.invitro,aes(x=ph,y=cfu.change.relative,colour=ph),position=position_jitterdodge(dodge=0.6),size=4,alpha=0.8)+\nscale_colour_manual(values=c(\"deeppink1\",\"deeppink1\",\"deeppink1\",\"deeppink1\"),name=\"Raw data\",guide=FALSE)+\nscale_x_discrete(name=\"pH of honeywater\",labels=c(\"2\",\"3\",\"4\",\"5\"))+\nscale_y_continuous(name=\"CFU change\",limits=c(0,1.7))+\nannotate(\"text\",x=c(3.5),y=c(1.5),size=16,label=c(expression(paste(italic(\"P\"),\" < 0.001\"))),fontface=2)+#statistical significance \ngeom_segment(aes(x = 3, y = 1.4, xend = 4, yend = 1.4),lwd=2)+\ntheme(axis.line = element_line(colour = \"black\",size=1.5),\n axis.ticks=element_line(colour=\"black\",size=1.5),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=30),\n axis.text.y=element_text(colour=\"black\",size=30),\n axis.title.x=element_text(colour=\"black\",size=40,margin=margin(20,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=40,margin=margin(0,22,0,0)),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key=element_blank(),\n legend.position=\"bottom\",\n aspect.ratio=1)\nfig.2.figure.supplement3" }, { "type": "Paragraph", "content": [ "Although in vivo the antimicrobial activity of the natural poison is likely higher than the antimicrobial activity of formic acid, the main component of the formicine poison gland secretion (", { "type": "Cite", "target": "bib88" }, "; ", { "type": "Cite", "target": "bib110" }, "; ", { "type": "Cite", "target": "bib128" }, ") due to the presence of other components (", { "type": "Cite", "target": "bib140" }, "), we then tested the ability of ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " to withstand acidic conditions created with formic acid in an in vitro experiment. We found that incubation of ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " for 2 hr in 10% honey water acidified with formic acid to pH 4 resulted in a significantly lower number of CFUs relative to pH 5 and in zero growth for incubations at pH-levels that were lower than 4 (", { "type": "Link", "target": "#fig2s3", "content": [ "Figure 2—figure supplement 3" ] }, "; GLM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.003, "output": "79.442", "programmingLanguage": "r", "text": "myround(anova(m.serratia.growth.invitro1,m.serratia.growth.invitro10)[2,7],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.004, "output": 1, "programmingLanguage": "r", "text": "anova(m.serratia.growth.invitro1,m.serratia.growth.invitro10)[2,6]" }, ", p", { "type": "CodeExpression", "duration": 0.004, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.growth.ecoli.crop,m.growth.ecoli.crop0)[2,8],3))" }, "). Our data thus indicate that poison acidified crops can indeed serve microbial control in formicine ants, likely inhibiting bacteria according to their ability to cope with acidic environments (", { "type": "Cite", "target": "bib89" }, ")." ] }, { "type": "Heading", "depth": 2, "content": [ "Access to the poison improves survival upon ingestion of pathogen contaminated food" ] }, { "type": "CodeChunk", "duration": 2.819, "programmingLanguage": "r", "text": "######################################################################################################\n############################### Fig 3: Individual survival ###########################################\n######################################################################################################\n\n\n#############loading data for Fig.3\nsurvival<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708519\",header=T,stringsAsFactors=T)#choose data file: Supplementary Data Fig.3.txt\n#str(survival)\n\n\n#############statistcal analysis for Fig.3\nm.survival<-coxme(Surv(time.death.hours,status)~treatment+(1|experiment.block)+(1|colony),data=survival)\n#print(m.survival)\n\n#significance of predictor ant treatment (four levels: Serratia- FA-, Serratia- FA+, Serratia-+FA-, Serratia+ FA+)\nm.survival0<-coxme(Surv(time.death.hours,status)~1+(1|experiment.block)+(1|colony),data=survival)\n#anova(m.survival,m.survival0)\n\n#post-hoc comporisons of predictor-levels ant treatment\nm.survival.glht<-glht(m.survival,linfct=mcp(treatment=\"Tukey\"))\noutput.m.survival.glht<-summary(m.survival.glht,test=adjusted(\"Westfall\"))\n#output.m.survival.glht" }, { "type": "Paragraph", "content": [ "To test whether acidic crops also provide a fitness benefit upon ingestion of pathogen contaminated food, we prevented acidopore grooming through immobilization in ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants for 24 hr after feeding them once with 5 µL of either ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " contaminated honey water or non-contaminated honey water and monitored their survival thereafter without providing additional food. We found that acidopore access after pathogen ingestion significantly increased the survival probability of ants (", { "type": "Link", "target": "#fig3", "content": [ "Figure 3" ] }, "; COXME, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.005, "output": "20.953", "programmingLanguage": "r", "text": "myround(anova(m.survival,m.survival0)[2,2],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.004, "output": 3, "programmingLanguage": "r", "text": "anova(m.survival,m.survival0)[2,3]" }, ", p=", { "type": "CodeExpression", "duration": 0.004, "output": "0.0001", "programmingLanguage": "r", "text": "myround(anova(m.survival,m.survival0)[2,4],4)" }, "). The survival of ants prevented from acidopore grooming and fed once with the pathogen contaminated food was significantly lower than that of non-prevented ants fed the same food source (Westfall corrected post-hoc comparisons: FA - | ", { "type": "Emphasis", "content": [ "Serratia" ] }, " presence + versus. all other ant groups: p≤", { "type": "CodeExpression", "duration": 0.002, "output": "0.027", "programmingLanguage": "r", "text": "myround(( output.m.survival.glht$test)$pvalues[6],3)" }, "). In contrast, non-prevented ants fed once with the pathogen contaminated food source did not differ in survival to prevented and non-prevented ants fed the non-contaminated food source (Westfall corrected post-hoc comparisons: FA + | ", { "type": "Emphasis", "content": [ "Serratia" ] }, " presence + versus. FA + | ", { "type": "Emphasis", "content": [ "Serratia" ] }, " presence – and FA + | ", { "type": "Emphasis", "content": [ "Serratia" ] }, " presence + versus. FA + | ", { "type": "Emphasis", "content": [ "Serratia" ] }, " presence –: p≥", { "type": "CodeExpression", "duration": 0.002, "output": "0.060", "programmingLanguage": "r", "text": "myround(( output.m.survival.glht$test)$pvalues[1],3)" }, " for both comparisons). Although we observed an overall high mortality in this experimental setup, likely due to starvation following the one time feeding in combination with social isolation of individually kept ants (", { "type": "Cite", "target": "bib81" }, "; ", { "type": "Cite", "target": "bib83" }, "; ", { "type": "Cite", "target": "bib135" }, "), this result indicates that poison acidified crop lumens provide a fitness benefit in terms of survival to formicine ants upon ingestion of pathogen contaminated food." ] }, { "type": "CodeChunk", "id": "fig3", "caption": [ { "type": "Heading", "depth": 3, "content": [ "Survival after ingestion of pathogen contaminated food." ] }, { "type": "Paragraph", "content": [ "Survival of individual ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants that were either prevented to ingest the formic acid containing poison gland secretion (FA-; ant outlines with blue dot) or not (FA+) after feeding them once either honey water contaminated with ", { "type": "Emphasis", "content": [ "Serratia marcescens" ] }, " (", { "type": "Emphasis", "content": [ "Serratia" ] }, "+, yellow circle with pink dots and black ant outlines) or non-contaminated honey water (", { "type": "Emphasis", "content": [ "Serratia" ] }, "-) without providing food thereafter (COXME, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.003, "output": "20.953", "programmingLanguage": "r", "text": "myround(anova(m.survival,m.survival0)[2,2],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.004, "output": 3, "programmingLanguage": "r", "text": "anova(m.survival,m.survival0)[2,3]" }, ", p=", { "type": "CodeExpression", "duration": 0.003, "output": "0.0001", "programmingLanguage": "r", "text": "myround(anova(m.survival,m.survival0)[2,4],4)" }, ", same letters indicate p≥", { "type": "CodeExpression", "duration": 0.002, "output": "0.060", "programmingLanguage": "r", "text": "myround(( output.m.survival.glht$test)$pvalues[1],3)" }, " and different letters indicate p≤", { "type": "CodeExpression", "duration": 0.003, "output": "0.027", "programmingLanguage": "r", "text": "myround(( output.m.survival.glht$test)$pvalues[6],3)" }, " in Westfall corrected post hoc comparisons)." ] } ], "duration": 0.016, "label": "Figure 3", "outputs": [ { "type": "ImageObject", "contentUrl": 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cT58PrSD9Kn659qprbS6c3MzK3pnRtq5PhCJ8lJJ5879p7Es3bSCSmkk3Kkkz/SCQhnmMj77sadIiNSU4dIffq1A+a0SqcDU9O/E5mXOfSQ3JOtv16KplNd6twXiLyT2bun9C50kpx08rlj70k8ayedkEI6KUc6+SOdgFA+rJHdZrquEald4c4dIoPTe1unU7qT7IL5nWXlTW1+7LoJRw2okeLptHdq5mTJ1aHQSXLSyeeOvSfxrJ10QgrppFxy0+mFNesCHL55TXF+tyWdgFCuy4uPG925lh8lBU2nbVNT7/Hd9aQeRdNpaGpmVN4dS2OBkxRPJ+9JPGsnnZBCOimX3HRauPD5AIe/t7C4Zp/bkk5AKPnvL3mYOxc6nZqOEely+o0L3m+y06hYOh2RmjlZat5b3qLQSYL81KnVSUgn+CGdlCOdSCegPN4QGZTZ3lQv8q6zETqd7hcZlv5RcOB0Ol8k/9WWvCcpnk6ek5BO8EM6KUc6kU5AeUzJ/sqa5b6wkvvLdqHTaZLIX9K36Bc0ne4QmZPeuWnSxHmFTlI8nTwnIZ3gh3RSjnQinYCyaB6Yea0Ax10iQ5yPodPpHJFVqfHzxZ8mnk6nDT1kcPp956aLPFboJMXTyXMS0gl+SCflEpdOO0gnwEiLRQ5oGW2uF1lqlZBON2SeYP5Ib0k9DbxAOj3pbmTTyXlB8ENXOxv3d5S+DYVOkr2R//PTW5+kYDo9WcKfDNod0km5xKWTtYR0Akw0SWRGzvBkkcutEtLpva7S4ezb75t+tNT1ltpb3vam00MiJzx8v5WbTp8NEekx8edXjRTpvLjgSbI38k+n1ifxrj17EihHOimXvHRaQToBBmroKbIsZzxPZEBzKS9OcHtd6vtuwJIrxH3b3dbp9FFne76blZtO1qqh6e/WXu4b93pPkr1RGy8o1foknrVnTwLlSCflkpdO1jLSCTDPY5mXI0jb3EVkSSnpZL0z/sCuPYbP2m5tOmWXnS/wppP16Je7dneiKSedrOZ5Y3bv1H/UjM3pceuTZG/U1mtxtjqJZ+3Zk0A50km5BKaTtWX52673Axz7ydvFkU4AgOBIJ+WSmE7VQjoBALxIJ+VIJ3/jM382U+NeCQDAHKSTcqSTv8MyfzYnxb0SAIA5SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/AdPps03FNRa/t8ZN28u0bgBAJZFOypFO/gKm06qFxW0qfm/rFy58ZUuZVg4AqBzSSTnSyV/V02nhc9vKtHQAQMWQTsqRTv6qn04L3yzT0gEAFUM6KUc6+Tsr82fzwzYPK2c6PVumpQMAKoZ0Uo508jc582dzfZuHlSOdXn/ppRfcA5vKt3wAQEWQTsqRTv6qmE5/yhxIOgGA6Ugn5Ugnf6QTAMCLdFKOdPJHOgEAvEgn5UgnfwHTaf2bxRX70yWdACAxSCflSCd/AdOpHEgnAEgM0kk50skf6QQA8CKdlCOd/JFOAAAv0kk50skf6QQA8CKdlCOd/JFOAAAv0kk50skf6QQA8CKdlCOd/JFOAAAv0kk50skf6QQA8CKdlCOd/JFOgKGaH5gwYo/O/Yde+lKZTthNxgY+dmCr6+ZSybc6NT3V3vx+mZYHw5BOypFO/kgnwEwLDs12ynFropzozWnTlrsbFUinPe3NXo1RVgdjkU7KkU7+SCfASM/ViXQ/c8qM7x1VI9J3VYQz3S3yjLsRMZ0GTM6ResvKJe5fHk9GWBzMRTopRzr5I50AE63uKzJls7v51tEix0U4VTadnn7i1cA3KpBOBdZwvshRIudGWBzMRTopRzr5I50AE80QOS+zvWmIyLOlnyqbTmEESqeG3aTrh3Wy6/ZSlwaTkU7KkU7+SCfARMeLPJcdzBa5tK2DVzR5t1pULp3mi4yzRos8GPr0SADSSTnSyR/pBIS3bU1ZbPO/h6Eib2UHSwcNmpLenD9uQH2/YTduTI0Gy2Rr9YResj1ny7JWXn3qAV36HT7RPUH6W7ybvdkn81ynvAMKC5ROZ4nMt+aInFbkjwuJRDopRzr5I52A8D5aWBYf+d/D6SJXeGc3npD+ft31cXdsB9MK5++37Tlb1pz6zHf1dKtgOuUfUFiQdNq6k/RqsNZ3ki6bi/6JIXlIJ+VIJ3+kExBe5dNptkjtpH+0mmz+mkjPb//s4q+IdHzImRgs3/+6HH7JrKacrRdrRUZccdOVo2qk5inL+nT5LJG7lzunSqdTqwMKC5JO80QutD+cKHJHwD83JAnppBzp5I90AsKrfDo1OK/qVDN02qIdOZNzRMasdTZu6yh9NlhOOnWv/UWzlbc1VuRW92i7bC5yPmaf65ROJ88BhQRJJ7uZXrQ/zBUZ3dYfFhKKdFKOdPJHOgHhVT6drI2npb4zu3zz2syriW/pJ4O2pjaniNxgOcEk41ITLVt7y37p43vLKOdD63TyHFBI2y+JOdGZWlcn+7or7Sx164r9iSF5SCflSCd/pBMQXhXSybKWTTuiY+q784uz3Z8n3Z35cZFlbaiR4y03mN5MTbRsvb70g/RB/WVk+mZ56eQ5oJAA6TRb5Bp330kiN7f5SJBIpJNypJO/bDpdeW9xK4qfb6v/rWdcZfvF06QTkq8q6WTbPP+Hh3Vwvj/HbLFHF4i8k9mzp/S2nGCqS387tWxlrL9eCqeT54BC2n418XudqWEi77v77hQZUeyRIHlIJ+VIJ3/ZdPqeFPdQ8fMtL3aOvv9NOiHxqpVOjrW3HW5/41xsb52c963UwXKCae/0US1bdnA9dt2EowbUiG865R+Q/ktgYN69Fn+u04c1sttM1zUite6/qwqeCUlFOilHOvmrejpJ5/8lnZB01Uwny2q+VqTjGssalf+t1OgE09D0MS1b26Z2dXd3PalH4XRqfUCJ6XRd3mJutPzOhKQinZQjnfxVP53kCNIJSffp22Xxqe8dPHjiiX/OGY4UWeD81KnmveUtLCeYjkgfkd1qOkaky+k3LnjfecGCQunkOWDZM64X8hZQPJ0Oyvu2PszyOxOSinRSjnTyF0M6dW6s/MMCku0ekVk5Q/v7dK77ZrutXumpQDrdLzJsTWauUDp5DyikaDq9ITIos72pXuTdAI8KiUI6KUc6+YshnWRr5R8WkGyviAzPGR4pstiy7hCZk57YNGniPKtgOk0S+Ut6rl/BdPIeUEjRdJoi8pPsYGzml+3QjpBOypFO/kgnwEDNB+f+2GlRR+nTaFkbesjg9JvXTRd5zCqYTueIrEptPV/4aeLeAwoplk7NA7OvhmC7S2RImIeHJCCdlCOd/JFOgIkesb9TTlntbn52TzeRXzlbN4kc6s7d31H6NlgF0+mG9FO2rUd6S+qp43Y6PenOpNLJe0AhxdJpscgBLaPN9SJLQz9GmI10Uo508kc6AUZyfoGt01fHn3/ON3ezt850XxPzsyEiPSb+/KqRIp0XOxMF0um9rtLh7Nvvm3601PWW2lvetqyHRE54+H4rk07eAwoplk6TRGbkDE8WuTzqI4ZhSCflSCd/2XS6PIA3i59vvf+t++6Stq3yDwtIvHl7ZP+1UX91+ncrVg1Nz/RK/TumQDpZt9elDhmw5Apxe+ejzvbHblb2xQk8BxRSJJ0aeoosy12sfbrmKI8W5iGdlCOd/FXxjVgAhLH1rnP279lpwPDxs9Zm55rnjdm9U/9RMzanhoXSyXpn/IFdewyftd3adMouO19gTzz65a7dnb2Zl8T0HFBAkXR6LP1yBBmbu4gsKeVBwlykk3Kkkz/SCYBX63SCPnwJKEc6+SOdAHiRTuBLQDnSyR/pBMCLdAJfAsqRTv5IJwBepBP4ElCOdPJHOgHwIp3Al4BypJM/0gmAF+kEvgSUI538kU4AvH57c9wrQNxIJ+VIJ3+kEwDAi3RSjnTyRzoBALxIJ+VIJ3+kEwDAi3RSjnTyRzoBALxIJ+VIJ3+kEwDAi3RSjnTyRzoBALxIJ+VIJ3+kEwDAi3RSjnTyRzoBALxIJ+VIJ3+kEwDAi3RSjnTyRzoBALxIJ+VIJ3+kEwDAi3RSjnTyRzoBALxIJ+VIJ3+kEwDAi3RSjnTyl02n6Z9WxZa4HzAAIADSSTnSyV82nS5ZWB0vbor7IQMAiiKdlCOd/FU9nRYu2hr3YwYAFEM6KUc6+at+Oi18I+7HDAAohnRSjnTyF0M6LYr7MQMAiiGdlCOd/F1U/XRa2BT3gwYAFEE6KUc6+bucdAIAeJBOypFO/q4inQAAHqSTcqSTv2mkEwDAg3RSjnTyl02na96utGdJJwBICtJJOdLJXzad/rfid/Un0gkAkoJ0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/VUynH56Xtr3idwUAiIZ0Uo508lfFdNo9c1ebK35XAIBoSCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/pBMAwIt0Uo508kc6AQC8SCflSCd/caTTRZf/MsDhd11e1E8rvmYAUIp0Uo508hdHOol8NcDhZ0pRvSu+ZgBQinRSjnTyRzoBALxIJ+VIJ3+kEwDAi3RSjnTyRzoBALxIJ+VIJ39VTKfBpBMAJAXppBzp5K+K6fQt0gkAkoJ0Uo508lfFdHqoB+kEBNf8wIQRe3TuP/TSl8p0wm4yNvCxA1tdN5e2+uZbnZqeam9+v0zLg2FIJ+VIJ39VTKc/3r4f6QQEteDQ7Ff6cWuinOjNadOWuxsVSKc97c1ejVFWB2ORTsqRTv6qmU4LF952lWPevX/wP2rVsrT7Z/n51b1pv/c/zbplH6xrLv9jAKrluTqR7mdOmfG9o2pE+q6KcKa7RZ5xNyKm04DJOTa5s0vcvzyejLA4mIt0Uo508lfddEppaOuo1xcW9XyAO3vPPu7PW8u0cqDqVvcVmZJ6z6K3jhY5LsKpsun09BOvBr5RgXQqsIbzRY4SOTfC4mAu0kk50slfe06nhc/zHwlIqhki52W2Nw0Rebb0U2XTKYxA6dSwm3T9sE523V7q0mAy0kk50slfFdPp+Uz6NLV1VDnS6dW99vpCXwf/GkZSHS/yXHYwW+TStg5e0eTdalG5dJovMs4aLfJg6NMjAUgn5Ugnf1VMpz9VLZ2WZB7UseVbPVBVQ0Xeyg6WDho0Jb05f9yA+n7DbtyYGg2WydbqCb1ke86WZa28+tQDuvQ7fKJ7gsmp74Vu9mafzHOd8g4oLFA6nSUy35ojclqJDxJGI52UI538tct0WkA6obLWvlZctP/FOl3kCu/sxhPSX9q7Pu6O7WBa4fz9tj1ny5pTn/kGmG4VTKf8AwoLkk5bd5JeDdb6TtJlc978DdetDPdgYSTSSTnSyR/pBIT3UfEv04XbIt3DbJHaSf9oNdn8NZGe3/7ZxV8R6fiQMzFYvv91OfySWU05Wy/Wioy44qYrR9VIzVOW9enyWSJ3L3dOlU6nVgcUFiSd5olcaH84UeSOvPl6eaGUhwzDkE7KkU7+SCcgvMqnU4Pzqk41Q6ct2pEzOUdkzFpn47aO0meD5aRT99pfuK/C0bI1VuRW92i7bC5yPmaf65ROJ88BhQRJJ7uZXrQ/zBUZnTdPOrUPpJNypJM/0gkIr/LpZG08LfVF3OWb12ZeTXxLPxmUfsWNKSI3WO4bQ45LTbRs7S37pY/vLaOcD63TyXNAIW2/JOZEZ2pdnezrrrSz1K3LPZZ0ah9IJ+VIJ3/GpdM/Vxa1utg9kU6osCqkk2Utm3ZEx9QX8hdnuz9Pujvz4yLL2lAjx1tuML2ZmmjZen3pB+mD+svI9M3y0slzQCEB0mm2yDXuvpNEbs49lnRqH0gn5Ugnf8alUzmQTqiwqqSTbfP8Hx7WwflSHrPFHl0g8k5mz57u+xANlrr0t1PLVsb666VwOnkOKKTtVxO/15kaJvK+u+9OkRG5x5JO7QPppBzp5I90AsKrVjo51t52uP21fLG9dXLeT346WE4w7Z0+qmXLDq7Hrptw1IAa8U2n/APSv4M3MO9eiz/X6cMa2W2m6xqR2hU5e0in9oF0Uo508kc6AeFVM50sq/lakY5rLGtUXjpJoxNMQ9PHtGxtm9rV3d31pB6F06n1ASWm03V5i7nRmZqZv8Dg75gHE5FOypFO/kgnILyKp9ODJ57455zhSJEFzk+dat5b3sJygumI9BHZraZjRLqcfuOC950XLCiUTp4Dlj3jyv9JUfF0Oigvkw5zpkindoV0Uo508kc6AeE1bCuuOcod3CMyK2c4WWSu+2a7rV7pqUA63S8ybE1mrlA6eQ8opGg6vSEyKLO9qV7kXfvj2qWuTjLX/fhB0YcJk5FOypFO/kgnwECviAzPGR4pstiy7hCZk57YNGniPKtgOk0S+Ut6rl/BdPIeUEjRdJoi8pPsYGzml+1cPNepfSCdlCOd/JFOgIGaD879sdOijtKn0WyDqloAACAASURBVLI29JDB6Tevmy7ymFUwnc4RWZXaer7w08S9BxRSLJ2aB2ZfDcF2l8iQln2kU/tAOilHOvkjnQATPWJ//Z6Segmzz+7pJvIrZ+smkUPdufs7St8Gq2A63ZB+yrb1SG9JPXXcTqcn3ZlUOnkPKKRYOi0WOaBltLleZGl2RDq1D6STcqSTP9IJMJLzC2ydvjr+/HO+uZu9dab7zKnPhoj0mPjzq0aKdF7sTBRIp/e6Soezb79v+tFS11tqb3nbsh4SOeHh+61MOnkPKKRYOk0SmZEzPFnk8uyAdGofSCflSCd/pBNgpnl7ZH9Vrf7qxtTcqqHpmV7uu/8WSifr9rrUIQOWXCFu73zU2f7Yzcq+OIHngEKKpFNDT5FluYu1T5d9Xjzp1D6QTsqRTv5IJ8BQW+86Z/+enQYMHz9rbXaued6Y3Tv1HzVjc2pYKJ2sd8Yf2LXH8FnbrU2n7LLzBfbEo1/u2t3Zm3lJTM8BBRRJp8fSL0eQsbmLyJLMgHRqH0gn5Ugnf6QTAK/W6QR9+BJQjnTyRzoB8CKdwJeAcqSTP9IJgBfpBL4ElCOd/JFOALxIJ/AloBzp5I90AuBFOoEvAeVIJ3+kEwAv0gl8CShHOvkjnQB4/fbmuFeAuJFOypFO/kgnAIAX6aQc6eSPdAIAeJFOypFO/kgnAIAX6aQc6eSPdAIAeJFOypFO/kgnAIAX6aQc6eSPdAIAeJFOypFO/kgnAIAX6aQc6eSPdAIAeJFOypFO/kgnAIAX6aQc6eSPdAIAeJFOypFO/tplOr08NO3iSt8TALRTpJNypJO/bDpVR4c9zn688ukEAIiIdFKOdPJX5XSy7fMo6QQApiOdlCOd/FU/neQM0gkATEc6KUc6+YshnXqQTgBgOtJJOdLJ3/Tqp5Nsj/tBAwCKIJ2UI5383RVDOm2N+0EDAIognZQjnfxt7Ek6AQBaI52UI53a8Fg96QQAaIV0Uo50assbZw3sXhW1pBMAJAXppBzpZIQ9SCcASArSSTnSyQikEwAkBumkHOlkBNIJABKDdFKOdDIC6QQAiUE6KUc6GYF0AoDEIJ2UI52MQDoBQGKQTsqRTkYgnQAgMUgn5UgnI5BOAJAYpJNypJMRSCcASAzSSTnSyQikEwAkBumkHOlkBNIJABKDdFKOdDIC6QQAiUE6KUc6GYF0AoDEIJ2UI52MQDoBQGKQTsqRTkYgnQAgMUgn5UgnI5BOAJAYpJNypJMRSCcASAzSSTnSyQikEwAkBumkHOlkBNIJABKDdFKOdDIC6QQAiUE6KUc6GYF0AoDEIJ2UI52MQDoBQGKQTsqRTkYgnQAgMUgn5UgnI5BOAJAYpJNypJMRSCcASAzSSTnSyQikEwAkBumkHOlkhOql08tD0y6u9D0BQDtFOilHOhmheum0IHNPx1b6ngCgnSKdlCOdjEA6AUBikE7KkU5GIJ0AIDFIJ+VIJyOQTgCQGKSTcqSTEUgnAEgM0kk50skIpBMAJAbppBzpZATSCQASg3RSjnQyAukEAIlBOilHOhmBdAKAxCCdlCOdjEA6AUBikE7KkU5GyKbT+ysr7D7SCQCiIZ2UI52MkE2nJxZW2C9IJwCIhnRSjnQyAukEhNH8wIQRe3TuP/TSl8p0wm4yNvRtBra6fi6VfKtT01Ptze+XYYkwCOmkHOlkhBjSaVTcjxko2YJDs31y3JooJ3pz2rTl7kYF02lPe7NXY5RVwjikk3KkkxFiSKdvxP2YgVI9VyfS/cwpM753VI1I31URznS3yDPuRpnSacDkHJvc2SXu99uTERYJ85BOypFORvgC6QQEtbqvyJTN7uZbR4scF+FU2XR6+olXQ9+4QDoVWMv5IkeJnFvK6mAs0kk50skI/UknIKgZIudltjcNEXm29FNl06kUgdKpYTfp+mGd7Lq95LuBgUgn5UgnI+xNOgFBHS/yXHYwW+TStg5e0eTdalH5dJovMs4aLfJgyXcDA5FOypFORhhEOqG92PB+WWzwv4ehIm9lB0sHDZqS3pw/bkB9v2E3bkyNBstka/WEXrI9Z8uyVl596gFd+h0+0T3B5NT3Qjd7s0/muU55B7QtUDqdJTLfmiNyWvHzITlIJ+VIJyNkPw1vLauwuaQTKusmKYuZ/vdwusgV3tmNJ6Rvuevj7tgOphXON9b2nC1rTn3m/NOtgumUf0DGDdetLLCOIOm0dSfp1WCt7yRdNrf9x4ZEIZ2UI52MUL1Pw8OkEyqr8uk0W6R20j9aTTZ/TaTnt3928VdEOj7kTAyW739dDr9kVlPO1ou1IiOuuOnKUTVS85Rlfbp8lsjdy51TpdOp1QEZ9fJCgXUESad5IhfaH04UuSPIHx4SgnRSjnQyAumEdqPy6dTgvKpTzdBpi3bkTM4RGbPW2bito/Rx/rdvsHSv/UWzlbc1VuRW92i7aC5yPmaf65ROJ88BKaWnk91ML9of5oqM9n9ASBzSSTnSyQikE9qNyqeTtfG01DFdvnlt5tXEt/STQek3z54icoPlBJOMS020bO0t+6WP7516UdjW6eQ5ICVwOuWY6Eytq5N93RV3lrp1bf6xIVFIJ+VIJyOQTmg3qpBOlrVs2hEdU8d9cbb786S7Mz8usqwNNXK85QbTm6mJlq3Xl36QPqi/jEzfLC+dPAeklJxOs0WucfedJHJzm48IiUI6KUc6GYF0QrtRlXSybZ7/w8M6OEeO2WKPLhB5J7NnT+ltOcFUl341gpatjPXXS+F08hyQEjidcl5N/F5napjI++6+O0VGFHtESA7SSTnSyQikE9qNaqWTY+1th9uHXmxvnZx34w6WE0x7p49q2bKD67HrJhw1oEZ806nVASmlPtfpwxrZbabrGpHaFc5U+rf6BgZ5eDAW6aQc6WQE0gntRjXTybKarxXpuMayRuXfutEJpqHpY1q2tk3t6u7uelKPwunU+oCZ+afNf5+74ul0Xd6tb3SmSKd2gXRSjnQyAumEduOhUWXh/+rbD5544p9zhiNFFjg/dap5b3kLywmmI9JHZLeajhHpcvqNC953XrCgUDp5DoiYTgfl3fowZ2rZM65CP8VCcpBOypFORiCdgKDuEZmVM5wsMtd9k91Wr/RUIJ3uFxm2JjNXKJ08B6xd6uokc92PH+TdQ9F0ekNkUGZ7U73Iu2EeJkxGOilHOhmBdAKCekVkeM7wSJHFlnWHyJz0xKZJE+dZBdNpkshf0nP9CqaT94CUEp/rNEXkJ9nB2Mwv26EdIJ2UI52MQDoBQTUfnPtjp0UdpU+jZW3oIYPTb143XeQxq2A6nSOyKrX1fOGniXsPSCktnZoHZl8VwXaXyJDAjxGGI52UI52MQDoBgT1if/2estrd/OyebiK/crZuEjnUnbu/o/RtsAqm0w3pp2pbj/SW1FPH7XR60p1JpZP3gJTS0mmxyAEto831IkvDPVAYi3RSjnQyAukEBOf84lqnr44//5xv7mZvnem+JuZnQ0R6TPz5VSNFOi92Jgqk03tdpcPZt983/Wip6y21t7xtWQ+JnPDw/VYmnbwHpJSWTpNEZuQMTxa5PNLDhjlIJ+VIJyOQTkAI8/bI/tpa/dWNqblVQ9Mzvdx3/y2UTtbtdalDBiy5QtzO+aiz/bGblX1xAs8BKSWlU0NPkWW5i7ZP21zyQ4ZRSCflSCcjVO/T8FTftFMrfU9A5Wy965z9e3YaMHz8rLXZueZ5Y3bv1H/UjM2pYaF0st4Zf2DXHsNnbbc2nbLLzhfYE49+uWt3Z2/mJTE9B7hKSqfH0i9HkLG5i8iS0I8URiKdlCOdjFC9T8OGhWlvFj8WQBtapxP04FOvHOlkBNIJSBzSSS8+9cqRTkYgnYDEIZ304lOvHOlkBNIJSBzSSS8+9cqRTkYgnYDEIZ304lOvHOlkBNIJSBzSSS8+9cqRTkYgnYDE+e3Nca8AcSGdlCOdjEA6AUBikE7KkU5GIJ0AIDFIJ+VIJyOQTgCQGKSTcqSTEUgnAEgM0kk50skIpBMAJAbppBzpZATSCQASg3RSjnQyAukEAIlBOilHOhmBdAKAxCCdlCOdjEA6AUBikE7GafrjeYf3qd9rxPRl1bg30skIpBMAJAbpZJo/7JO5isopH/sd9B3xsS61/y7vniMKn4l0MgLpBACJQTqZpfkHubnT7Qmfw4ql009Jp2QhnQAgMUgns1yY3ztdni18WLF0Opd0ShbSCQASg3Qyym/cy+fBt7++csnUXZ3Nz39a8DjfdPpnav8w0ilZSCcASAzSySRb+zlXz8nN7mDl/s7g4oIHPvAjr5720RPS+3e3t4/P3/3LwndJOhmBdAKAxCCdTDLNuXiekxmt6WGPOr0f8Lb32Qfvszm1/X819mB+oJuRTkYgnQAgMUgngzT1cv6L7pPs+NfOtfTSYLdd3VOk7qX04C3nhu8Guh3pZATSCQASg3QyyDPOtfOylnFjX3u8d7DbjrEPvS4z+L096PBZoNuRTkYgnQAgMUgng7i/XvdWzsRlzsRfgtz0dueJ4E2Z0Ux7NDDYfZJORiCdACAxSCeD7NX6h0zPORfTnwa45eruInVvZIcX2Dc7Oth9kk5GIJ0AIDFIJ3NscZ7cPS53ZltHe+aMADc90z7uqpbhaHv4vWB3SjoZgXQCgMQgnczxsnPpnJk3dag9c3DxW863Dxuyo2W8nz2+Ptidkk5GIJ0AIDFIJ3PMdS6dj+ZN/as9U9/kc3zW1oH2YQtbxk2d7fED7mbR54qTTkYgnQAgMUgnc/zYuXQuzZu6yJn6oNgNf2QfdHLO+B+pZ5f/6fyDd5a6PYbPeD3v6A3X5epBOpmAdAKAxCCdzPEfzqVzbd7UfzlTLxe53d87i3R6L2fij86tnj9Ssk7MDbK/S0GkU5xIJwBIDNLJHOOdS2dj3tStztSiIrdz/lcv74Uzb7Mnaupyu6hudste0slApBMAJAbpZI5T7Stnh/ypO5yraZF3VFlkH/K5vHcJnlKgjH6S3Us6GYh0AoDEIJ3Mcax95dw5f+p+52p6X9s3+4p9yBV5M2ekrsL/Mu/vW7Ysm3tiapQ9C+lkINIJABKDdDLHcPvK+fn8qYedq+mcNm/1mBNc6/KmDnNu1e+JzPC5fs642/r0kHQyUPXS6cUT06ZW+p4AoJ0incxxjH3l3CV/6j7nanpnm7c63D7i8vyp7vbUHstaxv9w3lZYrkyPSCcDVS+dHs7c0zcqfU8A0E6RTuY42b6e1eVPuc91+l1bN3rUudGqvKmmO20f5M44P5mSnunXhyKdDEQ6AUBikE7mONu5oBX4Dbun27rRN+wDvlX01M6PpuTF1DbpZCDSCQASg3Qyx3edC9r6vKkbnakX2rjNMud9754reuqbnPOk35pl0y25epFOJiCdACAxSCdzXOlc0PJ/7+liZ+o9n+MdzguJH1D81K865/lBoT28EYsRSCcASAzSyRx3Ohe0J/OmnJcZqGv0Od7W0Mc+4Kbip/6nc+ozC+0hnYxAOgFAYpBO5njRuaDdnDd1hD0zuI2bPGjvr/24+KmbnFOfUWgP6WQE0gkAEoN0Msd654L2ndyZhi72zJg2bnK8vX9kgFNvck59YaE9pJMRSCcASAzSySBD7AvaQbkT7lOU/tP/Bh/W2vtnt5psWG3blj/3N+dEMwqdgnQyAukEAIlBOhnEeVJ47YqcieudS9zr/je42t5ds6bV5Aanp76dP+e8IbAsLHQK0skIpBMAJAbpZJCnnSva9TkTB9rj/m3c4BB7/5c8swfbs/V57wdsjbKndtpR6BSkkxFIJwBIDNLJIDuc35cb1FI4i5wr3CX+x3/k7L/cMz3FmZ6eO/OcM3NWwXOQTkYgnQAgMUgnk/yXc0m7LjNqcH7oVJ/9/blXbrb9Ovfw2c7h3tca/2sHe7rjEy0Tq77g/E/g3wreJelkBNIJABKDdDLJlp72Ja3z71ODhrOcC1zLr8VNd4bdcg8/wUmrAtfaSc6Rn3sgM1zS3xmfV/guSScjkE4AkBikk1Hudq5pdZd9YlnNT33d2R64LrvPk06Nu9gTQwucZV0/99p42K2LVqx5/dbj3MEh2wocaJFOhiCdACAxSCezXOJe1Wp2H9zF3ei6tGWXJ53cl9A8v9BZ3u4rreyz3OcOSScjkE4AkBikk1kaL8gNnl65T2TypJP70gW/KXiat7+UX05Hf1rwMIt0MgTpBACJQTqZ5oGWnxiNznuLFU86OU918nvVp6b/zfnB0773NPveHelkBNIJABKDdDJO4yPf+nKvznsOn/JupNM0Lb50+D67dN3za5c/28b7B5NOZiCdACAxSCflSCcjkE4AkBikk3KkkxFIJwBIDNJJOdLJCKQTACQG6aQc6WQE0gkAEoN0Uo50MgLpBACJQTopRzoZgXQCgMQgnZQjnYxAOgFAYpBOypFORiCdACAxSCflSCcjkE4AkBikk3KkkxFIJwBIDNJJOdLJCKQTEEbzAxNG7NG5/9BLXyrTCbvJ2NC3Gdjq+rlU8q1OTU+1N79fhiXCIKSTcqSTEUgnIIQFh2b75Lg1UU705rRpy92NCqbTnvZmr7beSRTJQzopRzoZgXQCgnuuTqT7mVNmfO+oGpG+qyKc6W6RZ9yNMqXTgMk5NrmzS9zvtycjLBLmIZ2UI52MQDoBga3uKzJls7v51tEix0U4VTadnn7i1dA3LpBOBdZyvshRIueWsjoYi3RSjnQyAukEBDZD5LzM9qYhIs+WfqpsOpUiUDo17CZdP6yTXbeXfDcwEOmkHOlkBNIJCOx4keeyg9kil7Z18Iom71aLyqfTfJFx1miRB0u+GxiIdFKOdDJC9T4NGxamvVnpewIqZKjIW9nB0kGDpqQ3548bUN9v2I0bU6PBMtlaPaGXbM/ZsqyVV596QJd+h090TzA59V3Xzd7sk3muU94BbQuUTmeJzLfmiJwW8kHCaKSTcqSTEUgntBt/+G5xn0S6h9NFrvDObjwh/U206+Pu2A6mFc431vacLWtOfeZbbbpVMJ3yD8i44bqVBdYRJJ227iS9Gqz1naTL5rz5wmdEUpBOypFORiCd0G7cJMUti3QPs0VqJ/2j1WTz10R6fvtnF39FpONDzsRg+f7X5fBLZjXlbL1YKzLiipuuHFUjNU9Z1qfLZ4ncvdw5VTqdWh2QUS8vFFhHkHSaJ3Kh/eFEkTvy5gufEUlBOilHOhmBdEK7Ufl0anBe1alm6LRFO3Im54iMWets3NZR+mywnHTqXvuLZitva6zIre7RdtFc5HzMPtcpnU6eA1JKTye7mV60P8wVGZ03TzolG+mkHOlkBNIJ7Ubl08naeFrqNF2+eW3m1cS39JNBW1ObU0RusJxgknGpiZatvWW/9PG9ZZTzoXU6eQ5ICZxOOSY6U+vqZF93xZ2lbl3usaRTspFOypFORiCd0G5UIZ0sa9m0IzqmTvXF2e7Pk+7O/LjI/hqvkeMtN5jSX+QtW68v/SB9UH8Zmb5ZXjp5DkgpOZ1mi1zj7jtJ5ObcY0mnZCOdlCOdjEA6od2oSjrZNs//4WEdnJON2WKPLhB5J7NnT+ltOcFUl341gpatjPXXS+F08hyQEjidcl5N/F5napjI++6+O0VG5B5LOiUb6aQc6WQE0gntRrXSybH2tsPts11sb52cd/4OlhNMe6ePatmyg+ux6yYcNaBGfNOp1QEppT7X6cMa2W2m6xqR2hU5e0inZCOdlCOdjEA6od2oZjpZVvO1Ih3XWNao/DtodIJpaPqYlq1tU7u6u7ue1KNwOrU+YGb+afPf5654Ol2Xd+sbrWJnRFKQTsqRTkYgndBuVDydHjzxxD/nDEeKLHB+6lTz3vIWlhNMR6SPyG41HSPS5fQbF7zvvGBBoXTyHBAxnQ7Ku/VhVrEzIilIJ+VIJyOQTmg33r23uM3FT+PvHpFZOcPJInPdN9lt9UpPBdLpfpFhazJzhdLJc8Dapa5OMtf9+EHePRRNpzdEBmW2N9WLvFvsjEgK0kk50skIpBMQ1Csiw3OGR4ostqw7ROakJzZNmjjPKphOk0T+kp7rVzCdvAeklPhcpykiP8kOxmZ+2a6NMyIpSCflSCcjkE5AUM0H5/7YaVFH6dNof2H3kMHpN6+bLvKYVTCdzhFZldp6vvDTxL0HpJSWTs0Ds6+KYLtLZEixMyIpSCflSCcjkE5AYI/Y3ymnrHY3P7unm8ivnK2bRA515+7vKH0brILpdEP6qdrWI70l9dRxO52edGdS6eQ9IKW0dFosckDLaHO9yNIiZ0RSkE7KkU5GIJ2A4JxfXOv01fHnn/PN3eytM93XxPxsiEiPiT+/aqRI58XORIF0eq+rdDj79vumHy11vaX2lrct6yGREx6+38qkk/eAlNLSaZLIjJzhySKXZwekU7KRTsqRTkYgnYAQ5u2R/RW1+qsbU3OrhqZnernv/lsonazb61KHDFhyhbid81Fn+2M3K/viBJ4DUkpKp4ae+b9KOM8+bXPbZ0RSkE7KkU5GIJ2AMLbedc7+PTsNGD5+1trsXPO8Mbt36j9qRvrX9wqlk/XO+AO79hg+a7u16ZRddr7Annj0y127O3szL4npOcBVUjo9ln45gozNXUSWtH1GJAXppBzpZATSCUic1ukEPfjUK0c6GYF0AhKHdNKLT71ypJMRSCcgcUgnvfjUK0c6GYF0AhKHdNKLT71ypJMRSCcgcUgnvfjUK0c6GYF0AhKHdNKLT71ypJMRSCcgcX57c9wrQFxIJ+VIJyOQTgCQGKSTcqSTEUgnAEgM0kk50skIpBMAJAbppBzpZATSCQASg3RSjnQyAukEAIlBOilHOhmBdAKAxCCdlCOdjEA6AUBikE7KkU5GIJ0AIDFIJ+VIJyOQTgCQGKSTcqSTEUgnAEgM0kk50skIMaTTGw3+ApynqY2bZzRX+sEAQBxIJ+VIJyNU79PwxnlpP13o65kA5/nQ/+ZZ2yv9YAAgDqSTcqSTEar3aXg4c08jSCcAKAnppBzpZATSCQASg3RSjnQyAukEAIlBOilHOhmhep+GR0gnAIiGdFKOdDJC9T4NT5BOABAN6aQc6WSE6n0aFpBOABAN6aQc6WQE0gkAEoN0Uo50MkIM6XTUS75eDnCeVf43z9pR6QcDAHEgnZQjnYwQQzodW+l7AoB2inRSjnQyAukEAIlBOilHOhmBdAKAxCCdlCOdjEA6AUBikE7KkU5GIJ0AIDFIJ+VIJyOQTgCQGKSTcqSTEUgnAEgM0kk50skIpBMAJAbppBzpZATSCQASg3RSjnQyAukEAIlBOilHOhmBdAKAxCCdlCOdjEA6AUBikE7KkU5GIJ0AIDFIJ+VIJyOQTgCQGKSTcqSTEUgnAEgM0kk50skIpBMAJAbppBzpZATSCQASg3RSjnQyAukEAIlBOilHOhmBdAKAxCCd/EwLJe7Vlox0MgLpBACJQTr5kVDiXm3JSCcjkE4AkBjJveZXGumE6iGdACAxknvNrzTSCdVDOgFAYiT3ml9ppBOqh3QCgMRI7jW/0kaGEvdqS0Y6GYF0AoDEIJ2UI52MQDoBQGKQTsqRTkYgnQAgMUgn5UgnI1Tv07D6t2mLKn1P1vKX0tZX/K4AoIpIJ+VIJyNU79OwYWHam5W+J+udzF2trfhdAUAVkU7KkU5GIJ0AIDFIp+hemjlz5p/jXkSpSCcjkE4AkBikU3S32le8M+JeRKlIJyOQTgCQGKRTdFfbV7xBcS+iVKSTEUgnAEgM0imyzXvbV7yd415FqUgnI5BOAJAYpFNwb9xx/TSvCwYK6YSISCcASAzSKah795M2HBj38kpFOhmBdAKAxCCdgmka31Y4ifx73AssFelkBNIJABKDdArmwrbLqfPyuBdYKtLJCKQTACQG6RTICzVtltN+L8a9wJKRTkYgnQAgMUinQI5OXdd2+cbYI7o4G/uOdYw+wJ09d2lT3OsrHelkBNIJABKDdAri41rnqrbT75xEWnmQvXlEesdbX7UHfT+Oc20RkU5GIJ0AIDFIpyBudi5qHf6UGvzRGaxI7/m/Y+3B13bEtrLISCcjkE4AkBikUxDfdS5qYzMj5yUwb88MNjqjH8ezrHIgnYxAOgFAYpBOQTj/LSdPZEbn2oMLs/teqhHp8o9YllUOpJMRSCcASAzSKYgvOBe19ZnRDfbg6JadJ9vDc+JYVVmQTkYgnQAgMUinILrZ17Qu2dFD9ugLLTsX2cOO6wvcKhFIJyOQTgCQGKRTEB3ta9re2dFSe1SzLTts2MUe/zaOZZUD6WQE0gkAEoN0CmLnvHTa5Fzici4837CHZ8SwqrIgnYxAOgFAYpBOQQywr2mdW4Y97eH9LcNx9vCw6i+qPEgnI5BOAJAYpFMQX3Iuai1//x9hj65q2TvJHu5R/UWVB+lkBNIJABKDdAriFOei9vvscLw9OqZl70n2sFMMqyoL0skIpBMAJAbpFMRM56I2Iju81vmFu63ZofNOdt1jWFVZkE5GIJ0AIDFIpyCWSt6PnR53Rr/JjFZ1tkeDYllXGZBORiCdACAxSKcgmt0rW4eZ6eFG592A992eHv3A2XdiXEuLinQyAukEAIlBOgVya+q61v/fn3WHRzqDc5vd7fvrncHP4lxdFKSTEUgnAEgM0imQHQPSV7bvuMPb3O2v3vrKB7/7jrtZ807MCywZ6WQE0gkAEoN0CualLrnp1DBE8v1LzMsrHelkBNIJABKDdAronrqcdEo9UbzFzu/Gu7gISCcjkE4AkBikU1AvHJSTTtbU3HLqeE+sK4uEdDIC6QQAiUE6Bbfw8qMGX5QZXF+TLafPPxbnqiIinYxAOgFAYpBOpfrbee6v1smAH62PeylRkE5GIJ0AIDFIp9Jtf2fBXU++HfcqIiKdjEA6AUBikE7KkU5GqN6n4e9Xpf220vdkffRa2oaK3xUAVBHpFMjSuBdQMaSTEar3aViQuadjtlaJrgAAIABJREFUK31PANBOkU6ByJd+8Wnca6gM0skIpBMAJAbpFIh9pel8xhNNcS+jAkgnI5BOAJAYpFMgqYvNHj9+L+6FlB3pZATSCQASg3QKJHO5keFztsS9lvIinYxAOgFAYpBOgUiLnScsjns15UQ6GYF0AoDEIJ0CObU+J55kn2tXxr2gsiGdjEA6AUBikE7BbJo7ui4nnjqMvm9H3EsqD9LJCNlPw6pPK+xB0gkAoiGdAlt3y1G1OfXU48LX4l5ROZBORhgkVUc6AUBpSKcwVs4cmnvxOfR/1sW9oshIJyOQTgCQGKRTSH//z4NyLj+dTns84S/2RDoZIYZ0Ghr3YwaAhCKdwvvrT/bJuQLtPvXduBcUBelkhBjSaWDcjxkAEop0KsnLl34h5yI07Neb415QyUgnIwypfjr1ifsxA0BCkU4lan7u/F4tl6Gd415OyUgnI5xEOgFAUpBOpWtc8G/dMtehuNdSMtLJCL8nnQAgKZJ7zTfCjocPI51QBpeQTgCQEMm95pvgjau+KKQTyuGxU/bfqxp6kE4AEE1yr/mxe3Xqvi3/hI97MSUjnZSZSToBQDTJvebHqvnPP9wz9z8/6uJeUMlIJ2VIJwCIiHQKr2nx5NyXJpDakbf8M+41lYx0UoZ0AoCISKeQGhee3zfv2baH/Xxl3GuKgnRShnQCgIhIpzA+e/K7u+V105Br3ot7TRGRTsqQTgAQEekU2I5H/617XjcNuGxp3GuKjnRShnQCgIhIp2C2PXT25/K6qdf5i5vjXlQ5kE7KkE4AEBHpFMjpO+V10+e+/URj3EsqE9JJGdIJACIinQLJ7ab6Ux9oR5lBOilDOgFARKRTINlu6njc7ZviXkxZkU7KkE4AEBHpFEjqYlNz5C8/iXsl5UY6KUM6AUBEpFMgzqXm0Ov/EfcyKoB0UoZ0AoCISKdAZJ8r/xb3GiqDdFKGdAKAiEinQF6OewEVQzopQzoBQESkk3KkkzKkEwBERDopRzopQzoBQESkk3KkkzKkEwBERDopRzopQzoBQESkk585rhdzB22Id60RkE7KPJT5hH+t4nf18Ztp7etVZAGoRzr5SV1fJucO2hDvWiMgnZRZkPmEH1vxu3pnYdrait8VAFRRcq/5lUY6oT0inQAgouRe8yuNdEJ7RDoBQETJveZXGumE9oh0AoCIknvNr7SBrmtSg0OKiXetEZBOypBOABAR6aQc6aQM6QQAEZFOypFOypBOABAR6aQc6aQM6QQAEZFOypFOypBOABAR6RTI0rgXUDGkkzKkEwBERDoFIl/6xadxr6EySCdlSCcAiIh0CsS+0nQ+44mmuJdRAaSTMn7pdMPlRf06wOn/X87x533LNuGXpBOAdoZ0CiR1sdnjx+/FvZCyI52U8UunfaWo4wOc/ljvzb6xgHQC0K6QToFkLwPD52yJey3lRTopU/10krGkE4B2hXQKJOc6sPOExXGvppxIJ2ViSKcO71TkkQBATEinQE6tz70U7HPtyrgXVDakkzIxpJM8UJFHAgAxIZ2C2TR3dF3uv6NH37cj7iWVB+mkTBzpdEdFHgkAxIR0CmzdLUfV5lwOelz4WtwrKgfSSRnSCQAiIp3CWDlzaO4V4dD/WRf3iiIjnZQhnQAgItIppL//50E514ROpz2e8Bd7Ip2UIZ0AICLSKby//mSfnMvC7lPfjXtBUZBOyvil0+P3FvVsgNM/m3P8kaQTgHaJdCrJy5d+Iaeehv16c9wLKhnppEwV34hlHOkEoF0inUrU/Nz5vVriaee4l1My0kkZ0gkAIiKdSte44N+6ZS4Oca+lZKSTMqQTAESU3Gu+EXY8fBjphCQhnQAgouRe803wxlVf5KdOSJRsOh29rNL+lXQC0C4l95ofu1en5vw+d9yLKRnppEw2nUYsrLQxpBOAdim51/xYNf/5h3tKjrq4F1Qy0kkZ0gkAIiKdwmtaPDn3pQmkduQt/4x7TSUjnZSJI51uj/tBA0A5kU4hNS48v29uN8lhP18Z95qiIJ2UiSOdbo37QQNAOZFOYXz25Hd3y+umIde8F/eaIiKdlFkYQzrdEveDBoByIp0C2/Hov3XP66YBly2Ne03RkU7KLCGdACAa0imYbQ+d/bm8bup1/uLmuBdVDqSTMs+TTgAQDekUyOk75XXT5779RGPcSyoT0kkZ0gkAIiKdAsntpvpTH2hHmUE6KZNNp5PWVNqEvml3xv2gAaCcSKdAst3U8bjbN8W9mLIinZTJptNpFb+rdzI/flpb8bsCgCoinQJJXWxqjvzlJ3GvpNxIJ2VIJwCIiHQKxLnUHHr9P+JeRgWQTsqQTgAQEekUiOxz5d/iXkNlkE7KkE4AEBHpFMjLcS+gYkgnZUgnAIiIdFKOdFKGdAKAiEgn5UgnZUgnAIiIdApi8wbbtrhXURGkkzKkEwBERDoFsa9zqfn3uFdREaSTMqQTAEREOgXRybnUnBn3KiqCdFKGdAKAiEinIHo5l5pj4l5FRZBOypBOABAR6RTESOdS0zPuVVQE6aQM6QQAEZFOQVzlXmvejnsZlUA6KUM6AUBEpFMQG3dzrjUXxr2MSiCdlCGdACAi0imQOc61ZqdlcS+jAkgnZUgnAIiIdArm587FZv8NcS+j/EgnZUgnAIiIdArov2vtq81ef4p7GWVHOilDOgFARKRTUE/1sS83tcc9sD7uhZQX6aQM6QQAEZFOgSy3vTLCveLU7DP6rP+Y3FrcCywZ6aQM6QQAEZFOgUgxcS+wZKSTMqQTAESU3Gt+VZFOaCdIJwCIKLnX/KoindBOkE4AEFFyr/lVRTqhnSCdACCi5F7zq2psMXEvsGSkkzKkEwBERDopRzopQzoBQESkk3KkkzKkEwBERDopRzopQzoBQESkk3KkkzKkEwBERDopRzopQzoBQESkk3KkkzJxpNOLrxUR4ItvU7FzvPba2+3s/SUBmIp0Uo50UiaOdCpqS/GT/TPIeZZV/DEBAOmkHumkTLtOp4WfVPxBAQDpFMzyYuJeYMlIJ2Xadzq9WvEHBQCkUzBSTNwLLBnppEz7TqfFFX9QAEA6BUM6oZ1o3+n0bMUfFACQTsGQTmgnqphOv/xW2m+qkk6vLFu27O8Vf1AAQDoFQzqhnahiOo3L3NX0qqTTB5V+PACQktxrflW1VU17TbbFvcCSkU7KkE4AEBHpFMgGj/UfvnbPD/ZyLwyXNce9vAhIJ2XiSKffbCuiqfjJmoqdY1tDxR8QALhIpyiaHjvAuTKM3Rr3QkpHOikTRzrdUfG7AoAqIp2i2fED59IwPu5llI50UoZ0AoCISKeoJif72kA6KUM6AUBEpFNUDQfa14ZdEvvGo6STMqQTAEREOkX2qHNxmBv3KkpFOilDOgFARKRTZJ91ty8OJ8W9ilKRTsqQTgAQEekU3bH2xaFn3IsoFemkDOkEABGRTtFNcJ7sFPciSkU6KUM6AUBEpFN0zhWic9yLKBXppAzpBAARkU7RHWpfHDrEvYhSkU7KkE4AEBHpFFljV/vi0CPuVZSKdFKGdAKAiEinyGY6F4d94l5FqUgnZUgnAIiIdIpq1eeci8O/xr2MUpFOypBOABAR6RTRU/3di8PMuNdRKtJJGdIJACIinQJ5prD7rhxd414b6j6Oe4WlIp2UIZ0AICLSKRApYnzcCywZ6aQM6QQAEZFOgRQpp15r415gyUgnZUgnAIiIdAqk7XLq/qe411c60kkZ0gkAIiKdAmmznL72VtzLi4B0UoZ0AoCISKdAuvnp+6XvPB734iIhnZQhnQAgItJJOdJJGdIJACIinZQjnZQhnQAgItJJOdJJGdIJACIinZQjnZQhnQAgItJJOdJJGdIJACIinZQjnZQhnQAgItKpZH/97++dNvGni5vjXkc0pJMypBMAREQ6hbD2+QcbMtsrx6QvC/3vjHNJkZFOypBOABAR6RRU4/9+rVZkS3r0176SNSbJ1UE6KUM6AUBEpFNAfzvAvQik02njPpLjhM/iXVsUpJMypBMAREQ6BbO0p+Sm0w8lz5XxLi4K0kkZ0gkAIiKdAtmW+SlTKp1WdXYHtfseUu9udH4n5vWVjnRShnQCgIhIp0B+LHnpdK27/Y2VlvXPc9zN78a8vtKRTspUMZ3eWZi2tuJ3teTZlOcrfk8AQDoFsj3133UH/WxR6qUIhjijPbc5m83fc7Y/tzXW9UVAOinTPtNpUfqenq34PQEA6RTIA+61ZkKmLpa7w/tSg+27OYMHY1tbRKSTMqQTAEREOgVxsXOp2T/74pe3OMNdtqdHVzijH8W0sshIJ2VIJwCIiHQK4kjnUnNXdug+/fX0zOgtZ3R0LOsqA9JJGdIJACIinYIY6Fxq1mWH/Z3hrZnRVme0byzrKgPSSRnSCQAiIp2C6GZfaXbKjlJPdXo3O3ae7NQrjmWVA+mkDOkEABGRTkF0tK80+2VHdzoXnj4te/e3h3UxrKosSCdlSCcAiIh0CqJbXit9N++pTpbVzx52jWFVZUE6KUM6AUBEpFMQe9pXmprMb9RZezgXnl9md37WyR72jWVdZUA6KUM6AUBEpFMQw5xLzRvpwWvuhaflrVf+JHn/nZcwpJMypBMAREQ6BXGJc6m5MHcwoGXnj5zxSXEsqxxIJ2VIJwCIiHQKwn018Z0/cbc/ct/x9z+y+zZ0d8ZXx7W0qEgnZUgnAIiIdAri/9w8Grzc3lw/wr3u/Cmzq2msO34qxtVFQjopQzoBQESkUyA/cC823U+/8dK9JPepTc3PHOqO92iKdXkRkE7KkE4AEBHpFMgnPSTPXHf241E90+NrYl5f6UgnZUgnAIiIdArmrrxy+lKjO/l2ZrzvtpiXVzrSSRnSCQAiIp0CmplTTrum34Qlk067/DnetUVBOilDOgFARKRTUL/bI3PNGfB6eiqdTr1fiXVh0ZBOypBOABAR6RTY5tuO6V0jO4+8KRsZbjp1uXxDnKuKinRShnQCgIhIp1A+25E7ev/QEy98ZGtcaykP0kkZ0gkAIiKdlCOdlCGdACAi0kk50kkZ0gkAIiKdlCOdlCGdACAi0kk50kkZ0gkAIiKdlCOdlCGdACAi0kk50kkZ0gkAIiKdlCOdlCGdACAi0kk50kkZ0gkAIiKdlCOdlCGdACAi0kk50kkZ0gkAIiKdlCOdlCGdACAi0kk50kkZ0gkAIiKdlCOdlCGdACAi0kk50kkZ0gkAIiKdlCOdlKliOt11cdqrFb+rd99Oebfi9wQApJN2pJMyVUyncZm7uqPidwUAVUQ6KUc6KUM6AUBEpJNypJMypBMAREQ6KUc6KUM6AUBEpJNypJMypBMAREQ6KUc6KUM6AUBEpJNypJMypBMAREQ6KUc6KUM6AUBEpFNwqx/9fzP9xL22kpFOypBOABAR6RTUwiNrxV/cqysZ6aQM6QQAESX3ml9dTZPa6CbSCYlBOgFARMm95lfXhLbLKbl/jKSTMqQTAESU3Gt+Vd1TpJyS+8dIOilDOgFARMm95ldT097pa0DtPiNGFhT3CktGOilDOgFARKRTEPNTV4DDn90W90rKjnRShnQCgIhIpyB+4F4AftJYlTtr+uN5h/ep32vE9GXVOA/ppAzpBAARkU5BHO78/T+8Ovf1h32yT6A65eM2jrvL+4SrI0o4D+mkDOkEABGRTkH0c/7+f6sa99T8g9wW6vaE/5E/bTOdAp+HdFKGdAKAiEinIOrtv/6/UJV7ujA/hro863vkuW2mU+DzkE7KkE4AEBHpFEQ3+6//Y6txR79xrzQH3/76yiVTd3U2P/+p36HD2kqn4OchnZQhnQAgItIpiIPtv/6/V4X72er+z+DkZnewcn9ncLHfsbvbO4//UZ5flnAe0kkZ0gkAIiKdgviXqlxpLGuac505JzNa08MedXq/8KH/V2PvnB/9PKSTMqQTAEREOgVxlf3X/yGVv5umXs5/rX2SHf/auexcWvjYt5x970Y/D+mkDOkEABGRTkF82MH++9/nxzZl9IxzmbmsZdzY1x7vXfjY39u7OnwW/TykkzKkEwBERDoF4vyP3fkVvxf31+JyXwPhMmfiLwWPnWnvGViG85BOypBOABAR6RTI6zuJ1C6q9L3s1fqHQ885152fFjz2AnvP0WU4D+mkDOkEABGRTsE8UCPyuSWVvY8tzjO/x+XObOtoz5zx/9m78wBJysLw+70Ly15yKSKHIiCg5hUPROTnAaKoSDCiEA0eHCpqUBExIZoYgopnPKNEEhOjBKOREEU0aiCLoBwCIuABAgIe3MgCy73X20/P1T3TPVO11XX083w+/9D1VHX1UzRd9WWmp7vvxvu2Bv7RX679SKfESCeAgqRTRh9p98jC9z1Y5kNcHK4yn+4Zelp75Cl9N358e83HhrAf6ZQY6QRQkHTK6lubtq8BW/71T8v7DuCTwlXm2z1DB7ZHFq3us+3qhe01p3ZuzniveJ79SKfUSCeAgqRTJpe2fXOLzmVg6W77vvrQGYbxIH8Tdn9pz9A7w9B1fbb97dgbv89/61Me1lrw6D0+ePk67kc6pUY6ARQknTJpzWUYD3JE2NFtPUMfD0MX99n2rLDivOdMTWC/qVaaYz/X9j8C6ZQG6QRQkHTKpJJ0OjjsqPf3gV8IQ/3+su9f2uPzFnTPYMHnM+5HOiVNOgEUJJ0yqSSdDmjvZ73eoX8P++73dSvv6TOHv822H+mUNOkEUJB0yqSSdHpxez8P6x36r7DvU/ps+6qxh33pV6+9555rTtpvbOmUTPuRTkmTTgAFSadMZr4vvIS3ie/Rvsg8vHfotHDh+VKfbXcNK7b63sTiD7cKy5ssz7If6ZQ06QRQkHRqjhe1LzIb9g6dEi48J/fZNnxSwqOvmVr+bfjG39axWfYjnZJWYTpd8JVxvy39oS65aMwlpT8SgHRqkJe3r2cLeoc671H65sxNV5/cdl33yHfClputzrAf6ZS0CtPpV8vG3Tb3tgWdPf5I55T+SADSqUFeGy5off4y7sxM935G2PTCDPuRTkmTTgAFSafmeFO4oC3vGfpEGLog070/Ezb9WIb9/G77bgukU1qkE0BB0qk5jg0XtJ/3DB0dhq7OdO9LwqbvyL0fnyaeGOkEUJB0ao6TwwXt+z1D4TMIFmT71rw/hHv/We79SKfESCeAgqRTc1wYLmgn9gzt3h55QrZ7rw73flXu/UinxEgngIKkUz5rrjzpyAP33nXHnffY//ATL1s91H0vDxe0N3aPrFzcHnlZtnvfHe59ZO79SKfESCeAgqRTHhcdvnHPX6VtePCPh7n7J7Z3+eTugc77lz40c8OVN7fd1zt2Rdj2g/n2s1Y6JUc6ARQknbI7Z5fWTLueO7wHCG/mnv/7roGPhUe4fOaGd85vjx/SOxa+ELi1LN9+1kqn5EgngIKkU1b3vH1en3JqN8oxDwzrIc4M+/tY18DO7eVt+m35lPaKRXf0DO3dHlr6YM79SKfkSCeAgqRTRnfv1jecgj2GVR0PbtHe2w4PTi6fHfb+rn5bviesOb575Idh5DV59yOdkiOdAAqSTtnc/7zJUlqy28sOfusbDthj6m1P+60c0qN8POztIxNLK8MPixbdOLH4kxPbvjh2+5frtVet/72pe970mPADsCuy7KeXdEqMdAIoSDplc8T49eZJH/rFxJ/Vrbn6E08eH333kB7lns3aO1v4rbGFla8Juz5ycuXxYXGT8YU/DwsbnTqx7txtwvLhmfbTSzolRjoBFCSdMvn5ep2rzQ6nTRs/ffvO+MJfD+lxvhb2tuCYW9thdsazw+1tb59c15NOt2/VeeBdv3D272+5/Av7dBaeel+m/fSSTomRTgAFSadM9u1cbP5kZl7c98edNQcO64He1dndvK2fsHjsl4OXTq3qSae1V27ZmmbH67Ptp5d0Sox0AihIOmVxW/gwgNZL+32TyUOdn/isv7zPqnWx6u3dNbT5mV2retNp7ZXTPirhBXdk3E8v6ZQY6QRQkHTK4qRwqXnEzX3X3dB5u/hXh/ZYp079OGnfnrd2T0untav/uesHTzv955qs++klnRIjnQAKkk5ZHBQuNccOWNn5oIDXDe/BVp1+0NM3X7jdHu+5aq4tV//oL/bYccMl2z3rr87p8wOxbPuRTomRTgAFSacswrfntq4YsPJnYeWzKp3PEEmnxEgngIKkUxbbta80iweuXdReu32Fsxkq6ZQY6QRQkHTKYmn7SrPDwLWPa69dUuFshko6JUY6ARQknbII6bTdwLXbttduWOFshko6JUY6ARQknbIIH3y5cNDKNRvM+jOphpNOiZFOAAVJpyyeFS41Fw9YeVFY+ZxK5zNE0ikx0gmgIOmUxSHhUnPUgJVHhZWvr3Q+QySdEiOdAAqSTlmcEi41i/t/PtJVna86+e+KZzQ00ikx0gmgIOmUxYqF4Vqz+4p+q54ZVi3st2okSKfESCeAgqRTJgd3Lja73TJjxS27ddYcUv2UhkQ6JUY6ARQknTK5YWnnarPp5x7qGX7oc5t2xpfeUNO8ipNOiZFOAAVJp2w+PH692ext35+4Dtz2v2/bbHz0Q7XOrRDplBjpBFCQdMpmzWGtSVvvstd+e+2y9dTAIWvqnt66k06JkU4ABUmnjFa9qjXIAavqnlwB0ikx0gmgIOmU1ZoTlvYNpyX/MMI/c5JOyZFOAAVJp+yufeWCGeG0/oFX1z2tYqRTYqQTQEHSKY+bjt95flc3zX/S+26se0pFSafEVJhO3/37cVeW/lCX/3TM5aU/EoB0ymvFso++87D9997/0Hd+9My76p7MEEinxFSYTq+eeKh/L/2hACoknRInnRIjnQAKkk6Jk06JkU4ABUmnxEmnxEgngIKkU+KkU2KkE0BB0ilx0ikx0gmgIOmUOOmUGOkEUJB0GuRLHRd2L8yi3rkWIJ0SI50ACpJOg4yd9I/qXphFvXMtQDolRjoBFDS61/yySSdiJJ0AChrda37ZpBMxqiOdPvnzSlyzovRDAlgrnQaTTsSojnQ6flk1zrq+9GMCkE6Dbdvx/rGFp86l3rkWIJ0SE3M6LVt2e+kHBSCdUiedEhN3Ov209IMCkE6pk06JiTudflT6QQFIp9RJp8RUmE6vqz6dzin9oACkU+qkU2IqTKfDpRMQJemUOOmUmArT6QjpBERJOmUS/tjugkErX9de+a4qZzNM0ikx0gmgIOmUSTj//2DQyje2Vz6nytkMk3RKTB3p9LW7y3a2dAKqI50ymTWd3tZeuVWVsxkm6ZSYOtLptNIfSjoBFZJOmcyaTuFvsB9W5WyGSTolRjoBFCSdMpktne7Zor1yYaXTGSLplBjpBFCQdJrNcRPC+f/Q4/r527c8Jqzcoe6privplBjpBFCQdJpNK7O9657qupJOiZFOAAVJp9lkT6eP1z3VdSWdEiOdAAqSTrPJXE6Purfuqa4r6ZQY6QRQkHSaTdZy2vbCume6zqRTYpqZTtecMbdVs9xfOgEVkk6z2X9COP8/Z/8B3vFvy+ue6LqTTolpZjq9N8P/oKyY5f7SCaiQdMoknLkHfq7TSJNOiZFOAAVJp0ykE5GQTgAFSadMpBORkE4ABUmnTKQTkagwnY4ee6BNL577vYDSCRgh0imT69seqHsSpZBOiakwnb489kCPzLCpdAJGiHRKnHRKTIXpdO820gmIkXRKnHRKTIXptPbSR1eVTi/ac8yLhzV1gMGkUxYr7my7r+5ZlEI6JabKdFp71wmv+9M/fUOGDb/6p3Ob7b/QJeMHtXRYMwcYTDplsVM4K2e5Aowe6ZSYStOpMtIJqJB0ymKDcFb+s7pnUQrplBjpBFCQdMpi83BWflHdsyiFdEqMdAIoSDpl8bxwVt6s7lmUQjolRjoBFCSdsvi7zmn5yrqnUQbplBjpBFCQdMrirkeG0/KRdU+jDNIpMdIJoCDplMmXOqfla+qeRgmkU2KkE0BB0imbT4bz8h/dWfc0hk86JUY6ARQknTL61Pz2iXn78+uextBJp8RIJ4CCpFNWZ2zRPjPP3+fUub8FfqRIp8RIJ4CCpFMm17f9ZM/OyXnejvu+5oijpqt7gutMOiVGOgEUJJ0yac2l7gmuM+mUGOkEUNDoXvMrJZ2IhHQCKGh0r/mVkk5EQjoBFDS61/xKSSciIZ0AChrda36l9p9L3RNcZ9IpMdIJoCDplDjplBjpBFCQdEqcdEqMdAIoSDolTjolRjoBFCSdEiedEiOdAAqSTomTTomRTgAFSafESafESCeAgqRT4qRTYqQTQEHSKZ81V5505IF777rjznvsf/iJl62uezrFSafESCeAgqRTHhcdvnGr24YH/7juKRUlnRIjnQAKkk7ZnbNLa6Zdz617WsVIp8RIJ4CCpFNW97x9Xp9yarXmH/NA3VMrQjolRjoBFCSdMrp7t77hFOwxytUhnRIjnQAKkk7Z3P+8yVJastvLDn7rGw7YY+ptT/utrHt66046JUY6ARQknbI5YvzU/KQP/WLiz+rWXP2JJ4+PvrvWuRUinRIjnQAKkk6Z/Hy9zol5h9OmjZ++fWd84a9rmdUwSKfESCeAgqRTJvt2zst/MjMv7vvjzpoDa5jTcEinxEgngIKkUxa3zQ+n5Zeu6rPqoX3CqvWXVz6nIZFOiZFOAAVJpyxOCmflR9zcd90NnbeLf7XiGQ2NdEpMnOm0/ZZjHlf3RIAUSKcsDgqXmmMHrHxPWPm6SuczRNIpMXGm09nLxpxT90SAFEinLHYPl5orBqz8WVj5rErnM0TSKTHSCaAg6ZTFdu0rzeKBaxe1125f4WyGSjolRjoBFCSdslgaPphg4NrHtdcuqXA2QyWdEiOdAAqSTlmEdNpu4Npt22s3rHA2QyWdEiOdAAqSTlmED75cOGjlmg1m/ZlUw0mnxEgngIKkUxbPCpeaiwesvCisfE6l8xki6ZQY6QRQkHTK4pBwqTk39nOQAAAgAElEQVRqwMqjwsrXVzqfIZJOiZFOAAVJpyxOCZeaxVf1XXfV4rDyvyue0dBIp8RIJ4CCpFMWKxaGa83uK/qtemZYtbDfqpEgnRIjnQAKkk6ZHNy52Ox2y4wVt+zWWXNI9VMaEumUGOkEUJB0yuSGpZ2rzaafe6hn+KHPbdoZX3pDTfMqTjolRjoBFCSdsvnw+PVms7d9/7bxodv+922bjY9+qNa5FSKdEiOdAAqSTtmsOaw1aetd9tpvr122nho4ZE3d01t30ikx0gmgIOmU0apXtQY5YFXdkytAOiVGOgEUJJ2yWnPC0r7htOQfRvhnTtIpOdIJoCDplN21r1wwI5zWP/DquqdVjHRKjHQCKEg65XHT8TvP7+qm+U963411T6ko6ZQY6QRQkHTKacWyj77zsP333v/Qd370zLvqnswQSKfESCeAgqRT4qRTYqQTQEHSKXHSKTHSCaAg6ZQ46ZQY6QRQkHRKnHRKjHQCKEg65XX1f3z4mDe98rVH/t3nLniw7rkMgXRKjHQCKEg65XH/V16yadeHEyz8f5+6o+4pFSWdEiOdAAqSTtndcVR3N41ZfNjv655WMdIpMdIJoCDplNl/bD4jnIKNv1D3xAqRTomRTgAFSaeM1ryxbzgFB/n6X0aGdAIoSDpls/rQqVRa8OgnPetp2y6ZGnjN6rqnt+6kU2KkE0BB0imb901ccJ7z2Qsf6Iys/vm/vHDiC+3+tubZFSCdEiOdAAqSTpn8auHY5ebAq3qGr3/N2PAGV9Y0r+KkU2KkE0BB0imTfToXmw3/Z8aK72/UWbNPDXMaDumUGOkEUJB0yuLGzm/mNr24z6qfbBJWzb+x8jkNiXRKjHQCKEg6ZfHZzrXmq33XndxZ99mKZzQ00ikx0gmgIOmUxUvDpeb5A1buGVa+tNL5DJF0Sox0AihIOmXx1HCp+cqAlV8OK59a6XyGSDolJs50OvigMYfWPREgBdIpi87niP9hwMpbw8rNK53PEEmnxMSZThOfsra07okAKZBOWYSPJlgycG04bS+scDZDJZ0SI50ACpJOWYS+eNTAteFnUttUOJuhkk6JkU4ABUmnLF7YPinPe2jAygfntdfuVul8hkg6JUY6ARQknbI4MpyVLxqw8sKw8uBK5zNE0ikx0gmgIOmUxUXhrHzkgJVvCytPr3Q+QySdEiOdAAqSTpnsEs7KV/dddVU4a2/yYMUTGhrplBjpBFCQdMrk1HBafuY9fdbcs1tY9anKZzQs0ikx0gmgIOmUzRHhvPyMW2aM39opp91X1zCl4ZBOiZFOAAVJp2we6CTSI05Y1TO66h8fEYa37v+rvJEgnRIjnQAKkk4Z3fOnnVPzlkf/6N7xkXt/dPQWnbFtrql1ZsVIp8RIJ4CCpFMml1566U8PGj87z3/i81/+2pc//4nzJ65Bex06zW/rnm4O0ikx0gmgIOmUSSuXS+uebg7SKTHSCaAg6ZSJdCIS0gmgIOmUiXQiEtIJoCDplIl0IhLSCaAg6ZTJ9DeCz87bxGks6QRQkHRKnHRKjHQCKEg6JU46JUY6ARQknRInnRIjnQAKkk6Jk06JkU4ABUmnxEmnxEgngIKkU+KkU2KkE0BB0imfNVeedOSBe++648577H/4iZetrns6xUmnxEgngIKkUx4XHb5xq9uGB/+47ikVJZ0SI50ACpJO2Z2zS2umXc+te1rFSKfETKbT7l+vxP+uqOKopBNQIemU1T1vn9ennFqt+cc8UPfUipBOiTmv73/FJdroMxUclXQCKiSdMrp7t4HXhj1GuTqkU2IqT6dW63PlH5V0AioknbK5/3mTF4Ilu73s4Le+4YA9pt72tN/Kuqe37qRTYmpIp43vK/2opBNQIemUzRHjp+YnfegXE39Wt+bqTzx5fPTdtc6tEOmUmBrSqfXD0o9KOgEVkk6Z/Hy9zol5h9OmjZ++fWd84a9rmdUwSKfEXFZ5OLVa0182wyedgApJp0z27ZyX/2RmXtz3x501B9Ywp+GQTol5YKPKy0k6AXGRTlncNj+cll+6qs+qh/YJq9ZfXvmchkQ6peb90gmgEOmUxUnhrPyIm/uuu6HzdvGvVjyjoZFOqVn959IJoAjplMVB4ax87ICV7wkrX1fpfIZIOqXnsg//VSWeJp2AKEmnLHYPZ+UrBqz8WVj5rErnM0TSibIcUV06nb1szDmlPxKAdMpku/bpf/HAtYvaa7evcDZDJZ0oi3QC4iSdsljaPv3vMHDt49prl1Q4m6GSTpRFOgFxkk5ZhHTabuDabdtrN6xwNkMlnSiLdALiJJ2yCB98uXDQyjUbzPozqYaTTpRFOgFxkk5ZPCuc/y8esPKisPI5lc5niKQTZZFOQJykUxaHhPP/UQNWHhVWvr7S+QyRdKIs0gmIk3TK4pRw/l98Vd91Vy0OK/+74hkNjXSiLNIJiJN0ymLFwnAB2H1Fv1XPDKsW9ls1EqQTZZFOQJykUyYHd64Au90yY8Utu3XWHFL9lIZEOlEW6QTESTplcsPSziVg08891DP80Oc27YwvvaGmeRUnnSiLdALiJJ2y+fD4RWCzt33/tvGh2/73bZuNj36o1rkVIp0oi3QC4iSdsllzWGvS1rvstd9eu2w9NXDImrqnt+6kE2WRTkCcpFNGq17VGuSAVXVPrgDpRFmkExAn6ZTVmhOW9g2nJf8wwj9zkk6URzoBcZJO2V37ygUzwmn9A6+ue1rFSCfKIp2AOEmnPG46fuf5Xd00/0nvu7HuKRUlnSiLdALiJJ1yWrHso+88bP+99z/0nR898666JzME0omySCcgTtIpcdKJskgnIE7SKYsVd7bdV/csSiGdKIt0AuIknbLYKZz/31D3LEohnSiLdALiJJ2y2CCc//+s7lmUQjpRFukExEk6ZbF5OP+/qO5ZlEI6URbpBMRJOmXxvHD+36zuWZRCOlEW6QTESTpl8XedC8CVdU+jDNKJskgnIE7SKYu7HhkuAEfWPY0ySCfKIp2AOEmnTL4ULgBLr6l7GiWQTpRFOgFxkk7ZfDJcAf7ozrqnMXzSibJIJyBO0imjT4Uvr9v+/LqnMXTSibJIJyBO0imrM7ZoXwPm73Pq8ronMlzSibJIJyBO0imT69t+smfnMjBvx31fc8RR09U9wXUmnSiLdALiJJ0yac2l7gmuM+lEWaQTEKfRveZXSjpBXtIJiNPoXvMrJZ0gL+kExGl0r/mVkk6Ql3QC4jS61/xK7T+Xuie4zqQTZakwnf7q6DHvLv2RAKRT6qQTZakwnZaMP9LS0h8JQDqlTjpRFukExEk6JU46URbpBMRJOiVOOlEW6QTESTolTjpRFukExEk6JU46URbpBMRJOiVOOlEW6QTESTrN6bennPC+Yz76r2c/VPdESiGdKIt0AuIknWZ381/uNHH+3/CAS+qeTQmkE2WRTkCcpNNsHnr34laXeYfcVfeMhk46URbpBMRJOs3iD3u1pnnqTXXPadikE2WRTkCcpNNgD+wyvZxare1vr3tWQyadKIt0AuIknQY7YkY4te27pu5pDZd0oizSCYiTdBroxxMn/se8+ui/PHjy3eL/VPe8hks6URbpBMRJOg30p2Mn493PGVu87CVjy4+N60MKpBNlkU5AnKTTIDes1zkXH7ZycuTYsbPz12qc1PBJJ8oinYA4SadB/qNzKn7u6q6hV4/FVG1TKoN0oizSCYiTdBrkzzun4p93D93W+ZSn7eqaUSmkE2WRTkCcpNMgzwxn4uf3jh0WxtaP6m/spBNlkU5AnKTTII8LZ+KP9I6N/RLvjnomVA7pRFmkExAn6TTIpuFMfEbv2FWd0/P19UyoHNKJskgnIE7SaZD54Ux8We/YcukEWUknIE7SaZDOmfja3rE10gmykk5AnKTTIH0rSTpBVtIJiJN0GkQ6QSHSCYiTdBpEOkEh0gmIk3QaRDpBIdIJiJN0GkQ6QSHSCYiTdBpEOkEh0gmIk3QaRDpBIdIJiJN0GkQ6QSHSCYiTdBpEOkEh0gmIk3QaRDpBIdIJiJN0GkQ6QSHSCYiTdBqkcyY+6rhefQeDume7zqQTZZFOQJyk0yCtXOqe7TqTTpSlwnT6z6+M+XrpjwQgnQaSTlBIhel09rIx55T+SADSaSDpBIVIJyBOo3vNL5t0gkKkExCn0b3ml006QSHSCYjT6F7zy/bNXOqe7TqTTpRFOgFxkk6Jk06URToBcZJOiZNOlEU6AXGSTomTTpRFOgFxkk6Jk06URToBcZJOiZNOlEU6AXGSTomTTpRFOgFxkk6Jk06URToBcZJOiZNOlEU6AXGSTomTTpRFOgFxkk6Jk06URToBcZJOiZNOlEU6AXGSTomTTpRFOgFxkk6Jk06URToBcZJOiZNOlEU6AXGSTomTTpRFOgFxkk6Jk06URToBcZJOiZNOlEU6AXGSTomTTpRFOgFxkk6Jk06URToBcZJOiZNOlEU6AXGSTomTTpSljnRavmxut869v/tn38M5P72j9EMCmks6JU46UZZ406nt96UfE9BY0ilx0omyRJ1OP/CCgXRJp8RJJ8oSdTot+23pBwU0lXRKnHSiLHGn01WlHxTQVNIpcdKJskgnIE7SKXHSibJIJyBO0ilx0omySCcgTtIpcdKJstSRTneeM7fb597fAwPvfLZ0AqRT4qQTZakwnT7992M+U/ojLb9o3G9KfyigqaRT4qQTZakwnZaMP9LS0h8JQDqlTjpRFukExEk6JU46URbpBMRJOiVOOlEW6QTESTolTjpRFukExEk6JU46URbpBMRJOiVOOlEW6QTESTolTjpRFukExEk6JU46URbpBMRJOiVOOlEW6QTESTolTjpRFukExEk6JU46URbpBMRJOiVOOlEW6QTESTolTjpRFukExEk6JU46URbpBMRJOiVOOlEW6QTESTolTjpRFukExEk6JU46URbpBMRJOiVOOlEW6QTESTolTjpRFukExEk6JU46URbpBMRJOiVOOlEW6QTESTolTjpRFukExEk6JU46URbpBMRJOiVOOlEW6QTESTolTjpRFukExEk6JU46URbpBMRJOiVOOlEW6QTESTolTjpRFukExEk6JU46URbpBMRJOiVOOlEW6QTESTolTjpRlual029ac/t4hod7+N5nDGXawGiSTomTTpQl3nRavzXv80OZNzCSpFPipBNliTmdWot+M5SJA6NIOiVOOlGWqNOp9cmhTBwYRdIpcdKJslSYTp/++zGfmX2zIaTTBW9om9/e7o3Dmz0wYqRT4qQTZakwnc5eNuac2TcbQjp9eWK71w5v9sCIkU6Jk06URToBcZJOiZNOlEU6AXGSTomTTpSleen0u03n9rnZdyGdAOmUOulEWZqXTkMgnQDplDrpRFmkExAn6ZQ46URZpBMQJ+mUOOlEWaQTECfplDjpRFmkExAn6ZQ46URZpBMQJ+mUOOlEWaQTECfplDjpRFmkExAn6ZQ46URZpBMQJ+mUOOlEWaQTECfplDjpRFmkExAn6dQ4q886/BlbLNp+z+OvmXPTu05+1e7bLtpo2z3fu86XDOlEWaQTECfp1DT/t+PEubn1ihtn3fKOwxZObtp6+ne6V/1Ha4bd++9EOlEW6QTESTo1y5p3dOfOJt+bZdNvb9HbRm9/cGrdB6QTtZNOQJykU7Mc2ds7iwdfCv5v/elx9Mo1kysPlU7UTjoBcZJOjfJvnZPyU758+Q3n/vXG4ebD7xiw5VWbdjbd8yu/WHHTmW9er7Nw7OTa50onaiedgDhJpya5d6twTj5q7KdHN/xRWDh6wKbPDys3+ub40oU7h8UNfj2xduv20kve3eOE/vuRTpRFOgFxkk5Nclw4Jb9uYumWR/TkUI8fdFLpJ5PL9z8xDLxmYmlee+F/Mj2kdKIs0gmIk3RqkNWbh1/R3Tq5/MVwhv6Lvpu+Oaz6aNfAj8Pv7JaO988vwtqrMj2mdKIs0gmIk3RqkM6Pko6ZWl61ZXv5cX03fUx7zcK7u0feGO48/gkF32rfXO+hTI8pnSiLdALiJJ0apPPndb/oGjgmDFzWZ8s7woqX9gx9Owx9Yuz2p9s3t832mNKJskgnIE7SqUG2n/5Dph+GU/QH+mx5Xljx9z1DV4Whd43dfnv75guyPaZ0oizSCYiTdGqOe8Kbu1/dPXJf+OymV/XZNPxGrvWNnqHrut4YtW/75puzPah0oizSCYiTdGqOi8MJ+dM9Q09rjzylz6YnhU3P6xk6Iwz909jtx7dvfizbg0onyiKdgDhJp+bo9NC3e4YObI8sWj1z0+VXtj3QM/SRcO+zOjdXh++2O7Vzc873iksnyiKdgDhJp+b4m3BCvrRn6J1h6Losd34o/M3dgts6t38b7nXZ2vPf+pSHtRY8eo8PXt6z5W1v6raRdKIk0gmIk3Rqjs6V5raeoY+HoYuz3PlTYcs3jN0+q/PrvOe0Ju3XHWTXtvqSTgyZdALiJJ2a4+BwQl7VM/SFMHR2hvt+N7yhfL2rxxb+pX173oLuLlrw+alNpRPVkE5AnKRTcxwQ6qd36N/DOTrDN6p8/WFhwzeNL72nTxn97eS20olqSCcgTtKpOV7cPh8/rHfov8I5+pS57nj36zvn8hc8OL78qrFz+0u/eu0991xz0n5jS5N7kU5Uo4Z0Ouv8sn1YOgHSqTn2aJ+PH947dFo4R39pjvt9ZcvOqfxpk9/LsmtY3Op7E4s/3Cosb7J8fFE6UY0a0ql8H95w3OGlHxTQVNKpOV7Uvshs2Dt0SrjwnDzrvS7fY+zytM/U1wZv2l589DVTm/w2fK1w69jxJelENaJMpwlnPzj3rIBISafmeHn7IrOgd6jzXqdvznKfu96xXufitOSEqbHVJ7dd173Vd8Imm41/PpR0ohpRp9Oy35V+UEBTSafmeG24yvT5C7szB9/l1K3Grk3PvWr2XT8jbHTh2G3pRDUqTKdzqk+nq0s/KKCppFNzvClcZZb3DH0iDF0w6A5/2H/syrTd1+fa9WfCZuNfzXLP17ttIZ0oSYXpdGH16TTH/60AEZNOzXFsuMr8vGfo6DA06H9vz9+mc13a8MMPDNhgyiVhw3f0W+OLWChLhel0vXQCqiOdmuPkcJX5fs9Q+JiBBav6b376ws5l6dCbM+z6D2HLP+u3RjpRlgrTafVPpBNQGenUHBeGq8yJPUO7t0ee0H/rb3Y+Lvwxs7wRqsvqsO2r+q2RTpSlwnRau/q686UTUBHp1BzLw1Xmjd0jKxe3R17Wd+MrNwxbv+SObLu+O2x8ZL810omyVJlOlblNOgHSqUGe2L7KPLl7oPMWpQ/123T1U8OqVz7UZ9XKm9vu6x27Imz9wX47kk6URToBcZJODRLeFD7/910DHwvXncv7bdp5X9SfrO636s757VWH9I6FLwRuLeu3tXSiLNIJiJN0apAzw2XmY10DO7eXt+m7afgB1UY39N/NU9rrFvX+Jm/v9tDSvh9/LJ0oi3QC4iSdGuTB8CFLO0wVztnhsvOuflteHtYcN2A37wkrj+8e+WEYeU3fjaUTZZFOQJykU5N8PFxnPjKxtDL80GnRjROLPzmx7Ytjt98fNrx4wF5+Gb6bZf3vTQ3c9Jjwm8Ar+m4snSiLdALiJJ2a5J7N2teZhd8aW1j5mt4/izs+LG4ydnu/0EIf/MgMv+ys/fOw5UanTtzx3M5HZw74onfpRFmkExAn6dQoXwsXmgXH3Lp27Zoznh1ub3v75LrudNqm1d/XOmtvH/tmu12/cPbvb7n8C/t0Fp56X7/Hk06URzoBcZJOzfKuzqVm3tZPWNy5seTSqVVd6fTAgHIaT6e1V245fcWO1w94QOlEWaQTECfp1Cyr3t4dPJt3f1Z4Vzr9bo50WnvlLr3jLxj40ZnSibJIJyBO0qlpTp36idG+N3av6EqnS+ZKp7Wr/7nrB087/eeagQ8nnSiLdALiJJ0aZ9XpBz1984Xb7fGeYufm1T/6iz123HDJds/6q3MGfH9wh3SiLNIJiJN0Spx0oizSCYiTdEqcdKIs0gmIk3RKnHSiLNIJiJN0Spx0oizSCYiTdEqcdKIs0gmIk3RKnHSiLNIJiJN0Spx0oizSCYiTdEqcdKIscafTL++YW4b9PTDHLlYM/jhboC7SKXHSibLEnU4XLptbhv39bq59nHf73DsBqiWdEiedKIt0yrC/OdNp2Vl/KP2ggHykU+KkE2WRThn2N3c6Lbug9IMC8pFOiZNOlEU6ZdhfhnRadl/pRwXkIp0SJ50oi3TKsL8s6XRX6UcF5CKdEiedKIt0yrA/6QQjSDolTjpRFumUYX/SCUaQdEqcdKIs0inD/qQTjCDplDjpRFmiTKcfHjTu01fOLcP+7ph9D7+6pu2B0o8KyEU6JU46UZYo0+nLEwf12rpnAtRGOiVOOlEW6QTESTolTjpRFukExEk6JU46URbpBMRJOiVOOlEW6QTESTolTjpRFukExEk6JU46URbpBMRJOiVOOlEW6QTESTolTjpRFukExEk6JU46URbpBMRJOiVOOlGWyXR6yt6VOPT/Kjgo6QRIp9RJJ8oymU6VeVf5ByWdAOmUOulEWapPp9bXSj8o6QRIp9RJJ8pSQzrtUfpBSSdAOqVOOlGWt1afTo8s/aCkEyCdUiedKMvx1afTxqUflHQCpFPqpBNl+dl86QTESDolTjpRmmOkExAj6ZQ46URp1vzjNtIJiI90Spx0okw3/LoSS6UTUB3plDjpRAQ2lE5AdaRT4qQTEZBOQIWkU+KkExGQTkCFpFPipBMRkE5AhaRT4qQTEZBOQIWkU+KkExGQTkCFpFPipBMRkE5AhaRT4qQTEZBOQIWkU+KkExGoIZ1efk4lLrj6odKPCchJOiVOOhGBGtJp/2UVOe+B0g8KyEc6JU46EYGY02nZZaUfFJCPdEqcdCICUafTWX5lBw0jnRInnYhA1Om07O7SjwrIRTolTjoRgerS6as1pNNdpR8VkIt0Spx0IgLVpdM3pBMgnRInnYhAden00O++c1rHd6tLp5tLPyogF+mUOOlEBKpLp7Vr77/i3Go+0mkynW6s4KiAHKRT4qQTEagynSpzrnSChpJOiZNORKA56XTt1+e2fO7d3NLe7AN/1/a570snaBzplDjpRASak07/2prbpXPvZtnkxg//W+kETSOdEiediEDE6dSa937pBA0jnRInnYhAzOnU2vKG8qcN5CGdEiediEDU6dQ6r/xpA3lIp8RJJyIQdzp9p/xpA3lIp8RJJyIgnYAKSafESSciIJ2ACkmnxEknIiCdgApJp8RJJyLQnHT60Zvm9ru5d3Nle7MtpRM0lHRKnHQiAs1JpyHaUzpBQ0mnxEknIiCdgApJp8RJJyIgnYAKSafESSciIJ2ACkmnxEknIiCdgApJp8RJJyIgnYAKSafESSciIJ2ACkmnxEknIhB3On3p50GGT4Na++ufz+na0ucN8ZNOiZNORCDudPrHZcEvM9zlomVz+knp84b4SafESSciIJ3GSCeohHRKnHQiAtJpjHSCSkinxEknIiCdxkgnqIR0Spx0IgJRptPzpBM0lHRKnHQiAlGm0/OlEzSUdEqcdCICUabT3tIJGko6JU46EQHpNEY6QSWkU+KkExGIO52+fUdwT4a73HXHnO4ufd4QP+mUOOlEBOJOp2V1zwToJZ0SJ52IgHQCKiSdEiediIB0AioknRInnYiAdAIqJJ0SJ52IgHQCKiSdEiediECU6fSuPcf9tOxHWjPx53d3lv1IEAfplDjpRASiTKefTXwU011lP9KqiUe6oOxHgjhIp8RJJyIgnQqRTpCPdEqcdCIC0qkQ6QT5SKfESSciIJ0KkU6Qj3RKnHQiAtKpEOkE+UinxEknIiCdCpFOkI90Spx0IgLSqRDpBPlIp8RJJyIgnQqRTpCPdEqcdCIC0qkQ6QT5SKfESSciIJ0KkU6Qj3RKnHQiAtKpEOkE+UinxEknIiCdCpFOkI90Spx0IgLSqRDpBPlIp8RJJyIgnQqRTpCPdEqcdCIC0qkQ6QT5SKfESSciIJ0KkU6Qj3RKnHQiAtKpEOkE+UinxEknIiCdCpFOkI90Spx0IgLSqRDpBPlIp8RJJyIgnQqRTpCPdEqcdCIC0qkQ6QT5SKfESSciIJ0KkU6Qj3RKnHQiAtKpEOkE+UinxEknIiCdCpFOkI90Spx0IgLSqRDpBPlIp8RJJyIgnQqRTpCPdEqcdCIC0qkQ6QT5SKfESSciIJ0KyZNOt14zp2vLni/UTTolTjoRAelUSJ50umLZnM4ue75QN+mUOOlEBKRTIdIJ8pFOiZNOREA6FSKdIB/plDjpRASkUyET6fSDn869rXQC6ZQ86UQEpFMxPxh7oAszbCqdQDolTzoRAelUzGXSCfKQTomTTkRAOhVz9w+kE+QgnRInnYhAlOl0xNPHXVz+Yy0/r6J0Wn7luNuHNXWogXRKnHQiAlGm094Tr81lFTzYmjtvueWWP2TY8O5b5nTrLHf//URfXTeceUMtpFPipBMRkE6jQjoRBemUOOlEBKTTqJBOREE6JU46EQHpNCqkE1GQTomTTkRAOo0K6UQUpFPipBMRkE6jQjoRBemUOOlEBKTTqJBOREE6JU46EQHpNCqkE1GQTomTTkRAOo0K6UQUpFPipBMRkE6jQjoRBemUOOlEBKTTqJBOREE6JU46EQHpNCqkE1GQTomTTkRAOo0K6UQUpFPipBMRkE6jQjoRBemUOOlEBKTTqJBOREE6JU46EQHpNCqkE1GQTomTTkRAOo0K6UQUpFPipBMRkE6jYsVvxt1Z90ygAOmUOOlEBKQTUCHplDjpRASkE1Ah6ZQ46UQEpBNQIemUOOlEBKQTUCHplDjpRASkE1Ah6ZQ46UQEpBNQIemUOOlEBKQTUCHplDjpRASkE1Ah6ZQ46UQEpBNQIemUOOlEBN23PDcAACAASURBVKQTUCHplDjpRASkE1Ah6ZQ46UQEpBNQIemUOOlEBKQTUCHplDjpRASkE1Ah6ZQ46UQEpBNQIemUOOlEBKQTUCHplDjpRASiTKdDdxp3Qd0zAXpJp8RJJyIQZTr9bNm4u+qeCdBLOiVOOhEB6QRUSDolTjoRAelEmc5ZNtDZg+81+E7evTbypFPipBMRkE6U6ex1qiDpFDHplDjpRASkE2WSTkwjnRInnYiAdKJM0olppFPipBMRkE6USToxjXRKnHQiAtKJMkknppFOiZNOREA6USbpxDTSKXHSiQhIJ8p07YUD/XTwvX448E4/qW7qlEM6JU46EQHpBFRIOiVOOhEB6QRUSDolTjoRAekEVEg6JU46EQHpBFRIOiVOOhEB6QRUSDolTjoRAekEVEg6JU46EQHpRMTuPfU9L97pUYs22Gy7Z7/lhOvrng2BdEqcdCIC0oloXXf4Rq0u8559Wt0zQjolTzoRAelErD69tDXdi/9Q96SQTomTTkRAOhGpv5wRTm1PvrXuaSVPOiVOOhEB6UScPtOvnFqtA+qeV/KkU+KkExGQTkTphg37p1PLFwjXTDolTjoRAelElN422UqLd3z23k962OTiG+qeWeqkU+KkExGQTsRo9aPG/8N++AkrwvK9/7JkfGCLuqeWOumUOOlEBKQTMfrR+H/X8747MXLSxAn7gTrnhXRKnXQiAtKJGJ04/t/1cydHlk+csH9T47SQTsmTTkRAOhGjo8f/uz52cuQ3EyfsK2ucFtIpedKJCEgnYnTH78fcOzny19KpGaRT4qQTEZBOpOCat7akUzNIp8RJJyIgnYjbyl987e8O3HFeSzo1hHRKnHQiAtKJMi2ZP9CCwfcafKf1cj36DV9601MXtqaRTvWSTomTTkRgIp2WnlGJcyqJGenUGPOnh8uUeYPvNfhOea67Z+7T99GlU72kU+KkExEY9HUVZVn0rgfLPyjp1Bj1pdNdBwzYg3Sql3RKnHQiAlWnU6v12vIPSjo1Rm3pdPvO0+6453rjN6RTvaRT4qQTEag+nVrnl35Q0qkx6kqnNft23WfzF/7lV3+7dtH4knSql3RKnHQiAjWk03GlH9Tf7jfuZ6U/FLOrK51On7zD8//x+rGhifeLS6d6SafESScisHnBDloHbyv9oPaeeKhlpT8Us6srnSb+E1j6jYmROyb2IJ3qJZ0SJ52IwIvXPYHWlXRKyPrzBpo/+F6D7zRLb3V7YOJHTJ+ZHLpo4j8K6VQv6ZQ46UQEzuj6rMCKSCfKNtlJN04OfW1iSDrVSzolTjoRg88tqC6axlSYTmeurMLq0g+InL47/h/AelPPzf4T/1FIp3pJp8RJJ6Jw9QfeVIkX1ZBO/7isEuddv6b0YyKPUyf+C/jVxMh5LenUDNIpcdIJcvhGvOm0bNll2qlRzpr4L+DPxweue7J0agjplDjpBDlEnU7Lbpx7VlTnmslQetfy9uJd/7bR1C+MpVO9pFPipBPkEHc6XVr6QZHHNpOltPjJL9yu528hfln33BInnRInnSCHuNPpgtIPijyObg30zbrnljjplDjpBDlUmE6TH1YlnVJ10+LpxbTdxAfnv6fuuSVOOiVOOkEOFabTy6RT8v5lWjntcvN247c2/k3dc0ubdEqcdIIcKkynV0gn3t/zBqdXr1j7konbj3+w7rklTTolTjpBDnWk07+eX7LzpFNjnfa4yXB60lnt5R9OLt5Z99SSJp0SJ50ghzrS6cdlP9Iq6dRcK0857AmbbrDN//uLi+qeCV2kU+KkE+QgnQDplDrpBDlIJ0A6pU46QQ7SCZBOqZNOkIN0AqRT6qQT5CCdAOmUOukEOUym08JNy7ZAOkFDSafESSfIYTKdKiSdoGGkU+KkE+QgnQDplDrpBDnUkU5nlH1Q0gnykU6Jk06Qw7dqSKeTyj4o6TSHc9b9awFnd1bdR8Y6kk6Jk06Qw2U1pNMXyz4o6TSHs8tKp2V1HxnrSDolTjpBDmt2jjmdzl9ZidVlH9CwSSemkU6Jk06Qx082ijidKnLWT/5Q9iENl3RiGumUOOkEuVzzmkdJp8JuLPuYhko6MY10Spx0gmbaKuZ0Ovuhsg9qmKQT00inxEknaKao02nZTWUf1DCVlk5n1X1krCPplDjpBM1UXTqtLqsMZnF92QcFJZJOiZNO0EzVpdPa86pPp+tKPygoj3RKnHSCZqowna6XTpCHdEqcdIJmqjCdVl8mnSAH6ZQ46QTNtM3Ea7P0L2JZu3bNjZdecH4VfiidiIF0Spx0gmZ6xcRr88d1z2SIfi+diIF0Spx0gmaSTtBU0ilx0gmaSTpBU0mnxEknaCbpBE0lnRInnaCZpBM0lXRKnHSCZpJO0FTSKXHSCZpJOkFTSafESSdoJukETSWdEiedoJmkEzSVdEqcdIJmkk7QVNIpcdIJmkk6QVNJp8RJJ2gm6QRNJZ0SJ52gmaQTNJV0Spx0gmaSTtBU0ilx0gmaSTpBU0mnxEknaCbpBE0lnRInnaCZpBM0lXRKnHSCZpJO0FTSKXHSCZpJOkFTSafESSdoJukETSWdEiedoJmkEzSVdEqcdIJmkk7QVNIpcdIJmkk6QVNJp8RJJ2gm6QRNJZ0SJ52gmaQTNJV0Spx0gmaSTtBU0ilx0gmaSTpBU0mnxEknaCbpBE0lnRInnaCZpBM0lXRKnHSCZpJO0FTSKXHSCZpJOkFTSafESSdoJukETSWdEiedoJmkEzSVdEqcdIJmkk7QVNIpcdIJmkk6QVNJp8RJJ2im3Sdem9+peyZDJJ2IgnRKnHSCZtpq4rX5xbpnMkTSiShIp8RJJ2gm6QRNJZ0SJ52gmaQTNJV0Spx0gmaKMp3uvWHcirpnAgVIp8RJJ2imKNMJoiCdEiedoJmkEzSVdEqcdIJmkk7QVNIpcdIJmkk6QVNJp8RJJ2gm6QRNJZ0SJ52gmaQTNJV0Spx0gmaSTtBU0ilx0gmaSTpBU0mnxEknaCbpBE0lnRInnaCZpBM0lXRKnHSCZpJO0FTSKXHSCZpJOkFTSafESSdoJukETSWdEiedoJmkEzSVdEqcdIJmmkynR24fmd2O+k3d/3KhEOmUOOkEzTSZThHa+Ny6/+1CEdIpcdIJminmdGo95r66//VCAdIpcdIJminqdGr9d93/eqEA6ZQ46QTNtHWdZVO6j9b9rxcKkE6Jk07QTDvMVh4j7wN1/+uFAqRT4qQTNNOedZZN6aQTo0w6JU46QTO9os6yKZ10YpRJp8RJJ2gm6QRNJZ0SJ52gmSbT6cw74vEJ6UQMpFPipBM002Q6/bjumQzR56UTMZBOiZNO0EzSCZpKOiVOOkEzSSdoKumUOOkEzSSdoKmkU+KkEzSTdIKmkk6Jk07QTNIJmko6JU46QTNJJ2gq6ZQ46QTNtGLis5BW1j2TIZJOREE6JU46AZWRTkRBOiVOOgGVkU5EQTolTjoBlZFOREE6JU46AZWRTkRBOiVOOgGVkU5EQTolTjrBCLpjbvdm2M1dc+9mRYbdrJh7N3eNbSmdcnjv+L+r3eueCDNIp8RJJxhB67fm9NYMu9lp7t28JMNu9pl7N48f21I65SCdmks6JU46wQiSTgmQTs0lnRInnWAESacESKfmkk6Jk04wgkY1nb646biPFzn6REin5pJOiZNOMIJGNZ3IQTo1l3RKnHSCESSdEiCdmks6JU46wQiSTgmQTs0lnRInnWAESacESKfmkk6Ns/qsw5+xxaLt9zz+mmKbZtuPdIIRtOP2czo2w25eMPduDsuwm0Pn3s3eRY84QdKpuaRT0/zfjpP/n/aKGwtsmnE/0gmgibrTac2P3rL7Ngsf89w3nrm67mmxVjo1zZp3dP+Me5PvreummfcjnQCaqCudLvmjydP5Np8WT/WTTs1yZO/7Axafs46bZt6PdAJooql0+sLC7vP5c+Z+Mwclk06N8m+dF8ZTvnz5Def+9cbh5sPvWKdNs+9HOgE00WQ6fW9+7/8Lb3xZ3VNLnnRqknu3Ci+Lo9Z0Fm7o/IT26HXZNMd+pBNAE02k0zabtqbZ8rq655Y66dQkx4UXxesmlm55RHtpg1+vw6Y59iOdAJrovdOLacpTvd+pXtKpQVZvHn61duvk8hfDS+Qv8m+aYz/SCaCRpqXTBvO6Fv6l7sklTjo1yA/CK+KYqeVVW7aXH5d/0xz7kU4AjdSdTlt+6ndr7jvnwMnlLe6pe3Zpk04N0vmzuF90DRwTBvq+IXDWTXPsRzoBNFJXOj13/LcIJ603MfLleueWOunUINtP/+HQD8Mr5AO5N82xH+kE0EhT6bTT8omxz04M7VXnzJBOzXFP+E32q7tH7gtfVPWqvJvm2I90AmimqXT636nBZ40PzftdfRNDOjXIxeH18Omeoae1R56Sd9Mc+5FOAM00mU7/r2vwfycG/6O2eSGdmuSk8HL4ds9QeFPgoj5/hTrrpjn2I50AmmkynU7oGly91fjgO2qbF9KpSf4mvBwu7Rl6Zxi6Luemc+xn5a+7PVY6ATTQZDpd0T36uvHB3euaFmulU5McEV4Ot/UMfTwMXZxz0zn2c22rL+kE0CAT6bSk5zcGnxof3bquabFWOjXJweHlsKpn6Ath6Oycm86xH+kEkMP8/ifNIZj1YSfSqfdD+f57fHRRmUfMHKRTcxzQfjWs1zv07+EV8j85N51jP9IJIIea02mXntFlE/e9t8xDZnbSqTle3H4xPKx36L/CC+SUnJvOsR/pBJBDzem0U8/oDybue1+Zh8zspFNz7NF+MTy8d+i08AL5Us5N59iPdALIoeZ0WrSme/S08dHFpR4ys5NOzfGi9qthw96hU8Ir5OScm86xH+kEkEPN6dS6pXv0hPHBR5d6yMxOOjXHy9uvhgW9Q533KH0z56Zz7Ec6AeRQdzpd2D36xvHBXUs9ZGYnnZrjteHl0Ocv487Muekc+5FOADms1/+kWdy8WR92Mp0+2z26/fjgW0s9ZGYnnZrjTeHlsLxn6BNh6IKcm86xn5v27rZEOgE00GQ6Pbtr8NyJwa/VNi+kU5McG14OP+8ZOjoMXZ1z0xz78UUsAM009fW/Z00N7jMxdkNt80I6NcnJ4eXw/Z6hV7VHFqzKuWmO/UgngGaaSqf/7+6JsZMnhvauc2ZIp+a4MLweTuwZ2r098oS8m+bYj3QCaKapdGq9cPwtGKctnBj5Rr1zS510ao7l4fXwxu6RlYvbIy/Lu2mO/UgngGbqSqfWYz9/y9qHLjxkcnm7vr9FoCrSqUGe2H5BPLl74JLwEvlQ7k1z7Ec6ATRSdzq1Len+jITv1j25xEmnBglv5p7/+66Bj4WXyOW5N82xH+kE0EjT0qnbwXXPLXXSqUHODC+Jj3UN7Nxe3ib/pjn2I50AGmkinTaYUU5Pu7PuuaVOOjXIg1u0XxM7PDi5fHZ4jbwr/6Y59iOdABppIp2eefS0ctr59rqnljzp1CQfD6+Kj0wsrQw/LFp048TiT05s+2KmTWdd2Us6ATTRRDrtvuYtPeX0itvqnhnSqUnu2az9slj4rbGFla8JL5IjJ1ceHxY3ybTprCt7SSeAJppMp7VrT996Mpy2/Wrd80I6NczXwitjwTG3rl275oxnd14lUz+Y7U2nWTedfWUP6QTQdCu/e9iuW2+w1e5vWLam7qmwVjo1zbs6GTNv6ycs7txYcunUqmnpNNumc6zsJp0AIA/p1Cyr3t79K+3Nz+xaNT2dZtl0jpXdpBMA5CGdmubULSeLZ9+et3ZPT6dZNp1z5RTpBAB5SKfGWXX6QU/ffOF2e7znqmKbZtuPdAKAPKRT4qQTAOQhnRInnQAgD+mUOOkEAHlIp8RJJwDIQzolTjoBQB7SKXHSCQDykE6Jk04AkId0Spx0AoA8pFPipBMA5CGdEiedACAP6ZQ46QQAeUinxEknAMhDOiVOOgFAHtIpcdIJAPKQTomTTgCQh3RKnHQCgDykU+KkEwDkIZ0SJ50AIA/plDjpBAB5SKfESScAyEM6JU46AUAe0ilx0gkA8pBOiZNOAJCHdEqcdAKAPKRT4qQTAOQhnRInnQAgD+mUOOkEAHlIp8RJJwDIQzolTjoBQB7SKXHSCQDykE6Jk04AkId0Spx0AoA8pFPipBMA5CGdEiedACAP6ZQ46QQAeUinxEknAMhDOiVOOgFAHtIpcdIJAPKQTomTTgCQh3RKnHQCgDykU+KkEwDkIZ0SJ50AIA/plDjpBAB5SKfESScAyEM6JU46AUAe0ilx0gkA8pBOiZNOAJCHdErcZDoBQJcj6r5ANZZ0Spx0AqAf6TSIdEqcdAKgH+k0iHRKnHQCoB/pNIh0StxX/+mf/umgul+fADSOdBpEOrH2hLpfnwA0jnQaRDohnQCYQToNIp2QTgDMIJ0GkU6s/fftC1s08VLbpvi+GmPTiYN6ZN0zGaKtJg5qad0zGab54wc1v+6JDNPSiadq67pnMkSbTRzUpnXPhAyOrfvi1FjSiWF4zsQJ8bq6ZzJEx00c1D/XPZMhOm/ioP607pkM04bjB7Vx3RMZpldMPFU/rnsmQ/T5iYP6QN0zgQKkE8MgnUaFdBoZ0gmaSjoxDNJpVEinkSGdoKmkE8MgnUaFdBoZ0gmaSjoxDNJpVEinkSGdoKmkE8MgnUaFdBoZ0gmaSjoxDNJpVEinkSGdoKmkE8MgnUaFdBoZ0gmaSjoxDNJpVEinkSGdoKmkE8MgnUaFdBoZ0gmaSjoxDNJpVEinkSGdoKmkE8MgnUaFdBoZ0gmaSjoxDNJpVEinkSGdoKmkE8Nww6/Hrax7JkN0x8RB3V33TIbo/omDurnumQzTdeMHdV3dExmmmyeeqgfqnskQ3TVxUMvrngkUIJ0AADKTTgAAmUknAIDMpBMAQGbSiSFYfdbhz9hi0fZ7Hn9N3TMp5K6TX7X7tos22nbP954zeKOVx7373adWN6eh6Tvv6z/zsp023WDLp775P++vY07lyPQ0NtGVf7/3Ths97PHPf99VfVf/8M17PnaDR+1y9I8qntY6ue+1r33tvX3GZ31yIjmPkADpRHH/t+PEXxy3XnFj3ZNZZ3cctnDyMFpP/86gzd7bXvvGKuc1JH3mff1r15884C0+NhJ/HPnG1gC3T2yR8Wlsnl+8bGrez5sZT199/NTaX9YwvZxOa8/zzhmjsz85cZxHSIJ0oqg17+i+hG3yvbrns46+vUXvtfjtD/bd7EfrjWY69Zn3f2/Sc8DP+l1NU8tjznTK+DQ2z2fX6572ki/0rl1xaPfah32jnjnm8Lp+6TTrkxPJeYQ0SCeKOrL3dLh4xH5LMu7/1m9N88o1fTa7a7vWSKZTn3l/Y71pB7zT7YPu3RxzpVPGp7F5jpo27Xlf6V5779N71y5s+ovsjsV90mn2JyeO8wiJkE4U9G+dE91Tvnz5Def+9cbh5sPvqHtK6+CqTTuHsedXfrHipjPfPBYVx/bZ7nWt0UynmfO+OlzcWvNff/Ilv1/2uad2Vu9d2/QyG5hOf+iszvo0Ns6Jnak+8oM/veOOi9/X+dnMwvO6Vr+y81wdcPqvrj3trZ2j2qLhH9Pa6aBp6TT7kxPHeYRUSCeKuXercJo7auz/Hm/4o7BwdM1TWhfPDxPf6JvjSxfuHBY3+PWMzb7WGs106jPvzjtr/r+LxxZWfWZBWPxWLZPL49R3z7RZe+avH1ud8WlsnCs2CDN90U1jS3cfGpaeNvUTmU+H5c3GW+rCx4ald9cwy+xOmt8nnWZ9ciI5j5AK6UQxx4WT3Osmlm55xIhcq6b5Qec0/pPJ5fufGAZeM32z324ymunUZ97XheXFv5pcPjYs71XD3Ao7pT3xHVd0bmZ8Gpvnz8I8D51qpTeE5clf2d37yPbS0ismFs8LP7DZpMHfznLRQWP/ufWm0+xPThznEZIhnShk9ebhR+u3Ti5/MZwB/6LGCa2bN4dpf7Rr4Mfh8rR02l/sr35eayTTqd+8PxWWPzy1/NBO7eX1R/B3JDdv1motuGjsdransXl+HX5I84g/TA0sDy+rJ0wsfTIc1olTa/8yLJ9S5QQz+/U3PvLKx4z/1zYtnWZ9ciI5j5AM6UQhnf+VPGZqedWW7eXH1TefdRTO9gt73j7SeVPNtL+e/mj4Fdf80UunfvM+OBzfJV0b/XkYOLvyuRUWfvH4kfHb2Z7G5vlMmOU/dY98KYz8bOz2qvC7rMd3vaH6F2HlW6qcYGb7tbr0ptOsT04k5xGSIZ0opPN20F90DRwTBi6rbT7r5o4w6Zf2DH07DH2iZ+iSDVqtDX66/silU995v7C9uF73L30+Hw74q5VPrqgvt2e9++qx29mexgZ6Sfj11D3dI6sf3h46buz2ueEYTuheGz7i6enVTS+Hwek0+5MTx3mEdEgnCtl++v8c/jCc8j5Q13TW0Xlh0n/fM3RVGHpX98h9T+z8fGPk0qn/vF/QXly0umuzzjvJT6p8dgXdvGmrtWD8pzPZnsYmCq+iZ/QO7d8eeubYzb9u35zf86vUu2+//fY/rG2iwek0+5MTx3mEdEgnirhnXvsE9+rukfvCJfpVdc1nHX0rnKd7P2aw8zbqnjdbHNEeeM7q0Uun/vPufFrBr7o2e08Y+L/KZ1dQeH/1300sZHoam2jpjB/IdH4Ms9HYzafODKvGuvbSMW+ckU6zPjmRnEdIh3SiiIvDye/TPUNPa488pabprKuTwmGc1zN0RhjqfvtJ+O3ChteuHbl0GjDv94fj+1LXdnuFgesrn14x/9Oe8xMnP5I6y9PYRKvDJF/UO9Yp2c63kXSy4ph+92uw985Ip1mfnEjOI6RDOlFE53z47Z6hA6f/JmgELL+yrfevvT8SjuysqeVbwp8AfXHtyKXToHlfH942vvXyyeX/Csf7gurnV8i927YnvWxyMcPT2EzhsyO27R164+QPAX8abn25jmkVMDOdZn1yIjmPkA7pRBF/E055l/YMvTMMXVfPdIbnofD3QAtumxr44/by/uHGiKXTwHkfGp6nl01c3S4Knys5/8zq51fIu9uTfvlsG8x4GpspfDDE/N6PUNglPD1fC7e+Hm6dOz78UNVTW0cz02mmricn2vMIsZJOFBHeR9PqvTJ9PAxdXNN8hqbzsUdvmFo+ob34qM6BjlY6DZ73A3uEQ3zUv1y7eu29l7y58+nPJwzYSVNdu7DV2uDq2baY/jQ21GvDNM/oHvlV+C1d61/DzQ+O/+puxVdfvsPS1sZPOPybI9BPWdKp68mJ9jxCrKQTRXQ+HWhVz9AXwtAIfj5Qj++G0Fhv6qp8xeLJXyiMVDrNNu87X97qWPzozmW6taTpbwmaIfxOZ9a3gE9/Gpvq5PDv/2ldv51as2fnKfmHcPst4db9a7+yWWvC45r/GRIZ0qn7yYn1PEK0pBNFHBDOfr1D/x5Oef9Tz3SG5esPCwfxpsnlh8J7Vt88dnuU0mmOeZ+4sDXlqVdWP79izm7PeqPZPv98+tPYWHd1vhj3C1MD/zj2nHQ+7T1kxXqrX9fqdsiDg3bVEHOnU8+TE+l5hHhJJ4p4cfv09rDeoc77jZv5LREZ3f36zuXpBVOXp/D5fDuMf2ThKKXT7PNe/obuq/Hmzf9RxjS7tWf93sGrZz6NzfWBMNP1/m7l2NKKt4/9HLB1fFgKP1vb6MhWr5c0/A3Uc6XTtCcnyvMIMZNOFBHeL/Pw3qHTwinvS/03Hwlf2bJzVn/a1HdGnDW/fV07f3xhhNJp9nl/e4tpl+M/vrmGOa6774TL7e0DV898Ghvs3p07k93t36+7/+6ff2bbiWfkU2HdvhNLL/yP6+5f/tMPd35C1fqbuqc8uznSafqTE+N5hKhJJ4p4Ufv0tmHvUPgi+9bJ9UxnCC7fY+w6tc/UV5EuD38JdOzE0uik0+zz/k4YaG398UvuePCG77y+8zbxp8zxvt5meUZ7xn81aGWfp7HRrn5Eb8Yu7nyu0z+HVc8bG9l0IiN+v3dYnH9FjbOd26zpNPPJie88QuSkE0WEdxov6B3qvEfhm/VMp7C73rFe56S+pPuPzV7VHth15cTS6KTTrPM+f0m4/h458b/9FzwlHPZz7l87MsJHfS64qf+6vk9js121U3c5Lfn+aZPl0Pms0tbSayY3XbNPGDiotqlmMUs69XtyYjuPED3pRBGdv6ru85cxo/YBQeNO3WrsyvXcq7oGw8f1LZ56D/XIpNPs8w7f7tH67NTyQ52Bf6hwfgU9f3A+9H0am+7OYxZPltMLfr32K+Gfne8t+ePO0Ke6Nr0iPJcLVtQ00UwGp1PfJyey8wjxk04U8aZwflveM/SJMHRBTfMp5A/7j53Ut/t69+h1G7V6PvFoVNJp9nl/LxzoHmu6tr9sQXvksSvXjohrwjupf9hvTf+ncQTc9Ll9tl6/9bDHHxH+JP9z4RAuCsOvDLee3PO28DeHoW/VMsmMBqXTgCcnqvMIKZBOFHFsOL/9vGfo6DDU/I/Smen8bTon9Q0/3PttEeGv1Hb73e8nhd82HNS51ew/cpp93q8Y8MSdXs9k8wsfJP6kfisGPI0jYs194zc6z8Zd4dah4dYHe7bqfA5Uo98oPiCdBj05MZ1HSIJ0oojOOfz7PUPhHTYLVg3YvsFOH/uQo0On/5nZX7QGGfzXXU0w+7yf2P7nDr13+FFY9/e1zDW/leHPAz/TZ8Wgp3HU/En7ILbo3Oo8kd/rWXlRGDq8jmll1T+dBj45EZ1HSIN0oogLwynvxJ6h3dsjT6hpOgV8M/y+qvWYmW+uiDKd1ixq//NPeu9wR1j3lnomm9t/t+c6/8aZ4wOfxlGzQ/swntu51XnTz096Vt4Vhl5Rx7Sy6ptOg5+ceM4jJEI6UcTycMrreefPyvBm15fVNZ91duWG4Uhe0uezqaNMpxXhnwf33mF1GDugnsnm9pL2XJ83c3jw0zhifheOJxxK5QAAFSpJREFU492dm+eEmz/qWXt/GDqsjnll1S+dZnlyojmPkArpRCHhFz9P7h64JJwEP1TXdNbV6s7fl72y3/eqRplOa8NvTl7ae4fbwro/r2Wuuf0mfA7V52cMz/I0NtqaB9p63jr3pXAgY++CvzXc/I+e7a+dCquG6pNOsz45kZxHSIZ0opDwZs75v+8a+Fg45V1e23zWUee9Fn+S6X3fo/IXdtP1zvux7aXH9m6wLPw7eF+1k1pX72tPdd4tM4ZzPI2NcnWY93HdI+FjLzcdf6fPLq3pX8QXPnei9W9VzW5d9EmnWZ+cSM4jJEM6UciZ4Qz3sa6B8I0S29Q2nXUV/qd3oxsybRpHOr0mPG8X9mzw1jC0rOpprZvwA4xdZg7neBqb5eHtie/ctfyL8FwcMr5wfDiqng//fF5Y3R0ajdMnnWZ9ciI5j5AM6UQhD4a/dNph6htWw7fZt95V44TWyeUz/q9/sDjS6WvhiJ/W/SlOF4dPL9h4ND7XqfNOoJlfwpLnaWyWzmdFdL0VPHwM5ryJn7lcGVa+pmvrzs9vnl7l/HKbmU6zPzlxnEdIh3SimI+Hc9xHJpZWhv9ZXNTnL5+a7f3hIC7Otm0c6XTfVtOuZA88aYQuVp8Pc535h1p5nsZm6XztypMmvwbnhM7vtibXhr/Tb317cvGmzvc2n1LtDHOamU5zPDlRnEdIh3SimHs2a5/kFo5/svHKzu+Bjqx3Rutgv/BOiw9+ZIZf9tk2jnRa+8+tzs8ybhtf/METwuKmI/KnaeGHMotmft9enqexWVbuGP71/+n452l/IrwJfv2LJtdeG97Uv/Bfxz/7/duP7PzEcE2f3TTHzHSa48mJ4jxCOqQTBXV+9bPgmFvXrl1zxrPD7W2b/Zdn/Yx9xvFMX+uzbSTptHq/zhFu9r5zb/jDVV/v/FyjNe/U+qaXx6rwV+7PnDme52lsmNM7E93yM+fe8rMvP71zu/ubiz/YGdntxF/cft3pr+7c3rjhX883M53menJiOI+QDulEUe8au+xu/YSxry9dcmndE8rtgQFn9ZjTae09z5hxuJ+sbXL5dD5A8a0zhnM9jU1z1LQ593426UHT1i75bk3TzGpGOs395Iz+eYSESCeKWvX27jPh5iP4Qc6/y3PNjSWd1t53WO/BbvyNuqaWV+cP1/9txnCup7FpVh/ePeMNPtn7+7j7X91zQFs1/g1dM9Jp7idn9M8jJEQ6UdypW06e8fYdxbd2XpJkOq1d+z/PmjrURW/9XT3zWgfhrU59PvMn19PYPF/aamK+8/a6ZMbaUybXtpa8e3kN08tnRjpleXJG/TxCQqQTQ7Dq9IOevvnC7fZ4T8PfgcE0F39o7x03WbDFzq/78q11T4UHTjpoh40WP/6Ff311v7WrznjDMx+zwWZPeuVJ8b4HyHmEUSGdAAAyk04AAJlJJwCAzKQTAEBm0gkAIDPpBACQmXQCAMhMOgEAZCadAAAyk04AAJlJJwCAzKQTAEBm0gkAIDPpBACQmXQCAMhMOgEAZCadAAAyk04AAJlJJwCAzKQTAEBm0gkAIDPpBACQmXQCAMhMOgEAZCadAAAyk04AAJlJJwCAzKQTAEBm0gkAIDPpBACQmXQCAMhMOgEAZCadAAAyk04AAJlJJwCAzKQTAEBm0gkAIDPpBACQmXQCAMhMOgEAZCadAAAyk04AAJlJJwCAzKQTAEBm0gkAIDPpBACQmXQCAMhMOgEAZCadAAAyk04AAJlJJwCAzKQTAEBm0gkAIDPpBACQmXQCAMhMOgEAZCadAAAyk04AAJlJJwCAzKQTAEBm0gkAIDPpBACQmXQCAMhMOkEa9m/N7c6w4bbh1pfqnu4g5x6y44brb7rbLTE92A/Cv/FNJpYq+fff9aQfOj50aFg4avBdjpr+HwokSzpBGqJIp1tfP29sptfH9GDSCUaLdII0xJBOq3admGkF6VTdg0knGC3SCdIQQzp9bHKmFaRTdQ8mnWC0SCdIQwTptGJxZ5aPOfDtb759fKhzVMdV9GBlqSud3nJc8M3xobnS6XudrY+STiCdIBG3Xt/jRZ1L4I96B9eEDZubTt/pzPmIB7uGykunPg9WlrrS6dKeobnSacz10gmkE6Rp/4G/inr/UW0XVj6hDP4hTHmzB7qHykunPg9Wlt50quTfv3SCAqQTJGlwOjXX+8KU9+oZKi+d+jxYWXrTqRLSCQqQTpCkUUyn48KU9+8ZKi+d+jxYWaQTjBbpBEmSTvkfrCzSCUaLdIIkSaf8D1YW6QSjRTpBkqRT/gcri3SC0SKdIEn50+neLx+w66MWbffsIy+ZHLr8b56z40YLt3zGUWf1vcd1n3zpLlsuePgO+3/w5xkfY81l/3DA07fdcP2HP/bZb/mnm6evzZFOmR767uP22mKDx6/ov3JQOmXY85ybPHj6Yc/aduHmT3vpZztfj5cxnX573MueuumirZ951P+s7rf6sqP3etyirf/foWfPuaO1c6XT+Uc+Z8cNF231/7d37sFVVHcc37wIIUBQI0/BqAkPUXQCPnioiAQUeVkUZ4pIBKyoyKNOh0ehFXVECwodkNaK2kpVVJDYovKqDYoUlVIqlIpViaJFoYSJQEogZHvPb3fv3XP27p6zu90/4n4/M8Ce3/7O73f26sz9zN1Xr/v+4OgEdQIA6gRATHFXp0vZjuRzhcrN79iTM1tqFn330649VyQjWq+PHHU29Ert1nquUVhT3fJi2xQts8x2i36RxlFlfYknKVJtPdI68N+e7aYBzmY+DkqaUju7ILk/a8SXojql//z1XSOykrOKX3EU3dIzubf7O4lxf5dDM9GssimoE1OnjRfYPtUXhIlVbp8ZADEC6gRALPGpTlU2TdK01lsTexbl2kN5b/FVvvoBrx/atYdlS9p+rjBFy5jWYO0s4vd4qZOktaVOi8y9PtRJ4aDkKRvP4/YX/E5JnVbnc7PG8z8H1c3ItO3MWRZCnep+nMF1up3vVOX2mQEQI6BOAMQSf+pU1Yb3gTYH9YcERSj43F5kb0dNpKvk7OAreY4pqRes+VAnWWtTnRZbO9XVSeGg5CmrcsSEX1eyv73V6bEMYdI99pr1o4S9jwRWp9NiKb4T1AkAHeoEQEzxpU7vXsz+7nbrhL7Wqabhj2tmqHcLM3S7rcau1mYws223Qutbv/3fvRb0flIpcs87v2nyi3uVubuI/z53Vydpa0OdNiV/plFWJ4WDkqeszraqZrVtYmxkz2R/e6rTH6lWj5vvKutgTX/bVnSCVbJjseGfmev7uxyaCWWlUaep97K/M0pv+dGg5Ifwrj2ryu0zAyBGQJ0AiCW+1Klb4s8Aujq8YantxJEROr3QEJ3s6mSJ2s5GwtA1xxKj6ufNs31tDnks6BIj56rXD7KTdIffHG5c2tPV3L2tsrKS1tKvknFC10+wf/uxUDnb2qbamo58R1sKnzlw9B21zrU4m6kdlDxlv3nF2LkPf1KvN1QtSF3c5aVOFWckbOjuf1Fg91VGfr9U22eNyHUVJxODnVOZkZ1ZEkyd2K+L2fcb/1tsHWjUHWTPgjoBAHUCIKb4UqcEs63AnuQvQnOs0A7jB6PUFdH30fjsTda44Vnjuqib3dfzNiVkvZ6KbDUkbVcq8gAbS+6wk7emKdck/jSbvMd9Pc5mCgclTxlifHSTj5nj2vtU1CnheS0rk0XnUH5m8gbEw4X00S2xxjuSl3n7V6cEhR8mQ8ZPizk1tiyoEwBQJwBiik91ui21f5b5FTs2FZpOgXnW8EM6vdTxM1vRzYZwub/Vlk5aaYvtoTUUWpEKKKiTQuuR5vov/NR1MemaKVSWp7xptJ5vy5iroE6alvteaka9cQvfWmt8Dw2XpBI+LQyhTi3spxdHU8h+xg7qBADUCYCY4k+dWh5I7a8xzqQV2B67VE3OMMUajqHfKrZxVZfRpJtc1zOA7e7EherpKqpfpAIK6qTQ2lSn8yVf/2IzhcrylBtpNJHLuElFnebZZ2ym0HJz9B39OjfcnrA6hDotsce2U2iVLQJ1AgDqBEBM8adOj9sTjJvrF9lD9FgB6264b+jyZ/G51KUsmOvy/Eld78p2T+BjAwQvkquTSmvjyDO2uq0kfTOFyvKUfXRteusjXMK+XLk6ta2zzzhOZaxf6H7DBpn8wzcvD6xOnblnETS04BajQ50AYECdAIglvtQpi/uyH0Qh7tuzzK5OC0kWDug8K6nha27rmT4xwTtp1uhLnVRaG0d+vdtCXJopVJanLHB6aIJJcnWazc8osatTHzYo4xOeD6xOC/m8YqgTAE6gTgDEEl/qVMoljGOhns6QpU7D2OAGsexRuit/jhj24krf6qTS2jjy1bLmQjOFyvIUOjeXc1DI2CJXp7/xM66xqVMt1f8Vn1CdE1SdvuDzLoE6AeAE6gRALPGlTiO4hHKnwZTb1YkuUl7qqEt36g93hN35Os+3Oqm0pikZRxxJAkIzhcryFHoiwmAxoaGdTJ3y6/kZ/W3qZIiXeMl774Dq1E7I4xejQ50AYECdAIglvtRpHJfgFjLVaS9VFs69JbiFhS9VX+HmHppfdVJqTVNKpO35ZgqV5SlfiQdkMkymTpcLE+zqRA8QaCa+pndiQHUSz2NCnQBIA9QJgFjiS53KuQRJaD1VfrlSZDgLd1BZ29GPKhbeYT0s0o86KbWmKUOki+CbKVSWp+ygjLWOVnNl6iSu1q5Od7HtUiHBfCKTf3UaI+RBnQBIA9QJgFgSnTq9pHnQxHtVNeseHde7NTfDjzoptR6ZThGc8M0UKstT/kSbOx2tlrOwlzr9UJjQnwVNdaJHLw0SEvQV1Mq/Ot0r5EGdAEgD1AmAWBKdOj3ppRBag/uSTi3vl+mc4EedlFrTFP6dtungmylUlqesoi3nZ/4qC3upU7kwoT8LmupENzeOEktWUKsAr/8V8qBOAKQB6gRALIlOnR72VAjuAUUc67oJqVfQG+H8qJNS65HpFMEJ30yhsjzlBdr6j6PVBhYOqk6Xse2xQoK+iVpBnQCIBKgTALEkOnV63FMhXJ+J+VN7VocBk5/70v9znZRaB1InhcrylLW05fzM32DhoOrUl207fnUyWkGdAIgEqBMAsSQ6dXqWbef5Xc8CUzGaDpz76q7jtjX6USel1oHUSaGyPGVLGmFh/D6MOtG7XRzXOr0EdQIgOqBOAMSS6NTJeGvvSX/L+Se9BU8rfua4uEY/6qTUOpA6KVSWp+ymDOcddovCqBO9OM9xh92TUCcAogPqBEAsiU6d3qPK+/0t506aNO6Ec41+1EmpdSB1UqgsT6nJEA7IZFwYdZrCtvPFq+8nQ50AiA6oEwCxJDp1Ok5vBlnnazUnmrI5VwoPdvStTkqtA6mTQmWFFHrHsfPteReGUafn6D/kZ0LGNVAnAKID6gRALIlOnfSebDDDUbdiVYKv0q/GeBL300J0iF91UmodSJ1UKstTxrKMnENCgnHwQdXpk3Qf3bE8qBMA0QF1AiCWRKhOdLKo0ymhrPGw7b3pV0O352t/FaIX+VYnldbB1EmhsjxlGW0/IWTMDqVOxqvzhJ+yVmpQJwCiA+oEQCyJUJ3eodJLhLJXs+A5Lqt5kabs44P/0Hyrk0rrYOqkUFmecqgJG7TmXz18sFU4dZrEBtm8k14NdQIgQqBOAMSSCNVJv5iNmn/EZdCzi1yNxfhppoKL/be3f3VSaR1MnVQqy1PoVcDaRC5jnBZOnfbQxefck51e16BOAEQI1AmAWBKlOj1FtYsO2BLeb85CWen6MT6mGXfaQzWDNVV1mpsaK7QOqE4KleUpxkO+tfm2jMe0kOqkX0/zn0rt/tx6CyDUCYBIgDoBEEuiVKeTpVS87VvJ/evPosh41+V0ov2rU4HtxebX/5RUzE2dJqXGCq0DqpNCZYWUm4yDmnzMHJ/4iRZanXbT7YnZSXfaaX10Wo3r0UGdAAgB1AmAWBKlOum7c6l6xuCV3yVG375lXnrT0f0bdwYlNJ3+DY1ObR6VYX39F6Ve3eKmTh2PpQLy1gHVSeWg5ClfFxihTg99Uq837F/chQ1adg+lTvpio+bgtewS9Z3T2AVVdHOiVut6dFAnAEIAdQIglkSqTvozmZb5nNG1pbXZbIv7cqrPNHJye4y4e8x1xpR2xlVAxQ8+vd1ISqNOU43M2ybfebtq66DqpHJQ8pQ12VY4q22uufHGyHDq1DDMLJndqaQZbYx6m/5xf7Q51AmAEECdAIgl0aqT/mKOJtJ8s9d63sgW83v/e6e1aVqC02bMB0IyilRbB1YnlYOSp6xyHOgv9ZDqpJ8Yyle86Og69k+O+9FRGtQJgGBAnQCIJRGrk76pRBCE3h97L+jl5lx601l1+uku5sBdnY4UWROS6iRrHVydVA5KnrKhiNvf8hU9tDrpdRPsJcuq9dfYv4XuR0d5UCcAggF1AiCWRK1O+skn2ti+zXs8I7xkxcneocnrm7TsMV+w0AfmKS13ddI/sO4mS6mTpHUIdVI5KHlK7eyC5P6MQZ/p/wd10vWNSWXLn1mv6yvYVmf3o4M6ARACqBMAIBpO/2XWdd0Lswu73Dh/m9KEj+cPOb8gp33p6BXVZmTf+O75+cWj3/eYdHzBgAua5Lfve3+o1sooVJan1K0d3+e8vFYXlj3o9rQG/zT8eWKv1nmdyxbSAzcfYYIz0D07jTqpAXUCAOoEAADfP+5ggjPRfT/UCYAQQJ0AAOD7Bj1hSnwnjA2oEwAhgDoBAEAj5ucDE8zjY/tJcHa4T4I6ARACqBMAADRiZjKXKeSvRp/PYiUek6BOAIQA6gQAAI0Y412/G+2hQ3QL3888JkGdAAgB1AkAABoxp9oxmWm/PxWp6cMiTT/3mAR1AiAEUCcAAGjMPEE202W1dc5ubTcKzPeaA3UCIARQJwAAaMyc7mM8C7O4fM6ypQ+PPccYlZ7ymkMpkx5gVCi2WUfZ06BOAECdAACgcfNtD83BZYc8p9gyxUeVuzHNNgfqBOIN1AkAABo3h0cK4pRx61HvGVAnAEIAdQIAgMbOa5fbxemG7bJ8qBMAIYA6AQBA42fnoyNKzspu1bnvhJXe5+oIqBMAIYA6AQAAAAAoA3UCAAAAAFAG6gQAAAAAoAzUCQAAAABAGagTAAAAAIAyUCcAAAAAAGWgTgAAAAAAykCdAAAAAACUgToBAAAAACgDdQIAAAAAUAbqBAAAAACgDNQJAAAAAECZ/wFiGbUPc/q2GwAAAABJRU5ErkJggg==" } ], "programmingLanguage": "r", "text": "#' @width 40\n#' @height 30\n\n#############plot Fig. 3 \nfig.3<-ggplot(survival,aes(time=time.death.hours,status=status,linetype=treatment,colour=treatment))+\ngeom_km(lwd=2)+\nscale_colour_manual(values=c(\"grey\",\"grey\",\"black\",\"black\"),name=\"Animal treatment\",label=c(\"Serratia- | FA-\",\"Serratia- | FA+\",\"Serratia+ | FA-\",\"Serratia+ | FA+\"))+\nscale_linetype_manual(values=c(\"solid\",\"dashed\",\"solid\",\"dashed\"),name=\"Animal treatment\",labels=c(\"Serratia- | FA-\",\"Serratia- | FA+\",\"Serratia+ | FA-\",\"Serratia+ | FA+\"))+\nscale_x_continuous(name=\"Time after feeding [h]\",limits=c(0,160),breaks=seq(0,120,24))+\nscale_y_continuous(name=\"Proportion survival\",limits=c(0,1))+\ngeom_segment(aes(x=140,y=0.12,xend=150,yend=0.12),lwd=1.5,col=\"grey\",lty=2)+\ngeom_segment(aes(x=140,y=0.10,xend=150,yend=0.10),lwd=1.5,col=\"black\",lty=2)+\ngeom_segment(aes(x=140,y=0.08,xend=150,yend=0.08),lwd=1.5,col=\"grey\",lty=1)+\ngeom_segment(aes(x=140,y=0.00,xend=150,yend=0.00),lwd=1.5,col=\"black\",lty=1)+\nannotate(\"text\",x=c(155,155),y=c(0.105,0.005),size=10,label=c(\"a\",\"b\"),fontface=2)+\ntheme(axis.line = element_line(colour = \"black\",size=2),\n axis.ticks=element_line(colour=\"black\",size=2),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=25),\n axis.text.y=element_text(colour=\"black\",size=25),\n axis.title.x=element_text(colour=\"black\",size=30,margin=margin(25,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=30,margin=margin(0,25,0,0)),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15),\n legend.key.size=unit(1.5,\"cm\"),\n legend.key=element_blank(),\n legend.position=c(0.8,0.8),\n aspect.ratio=1)\nfig.3" }, { "type": "Heading", "depth": 2, "content": [ "Access to the poison in donor ants also benefits receiver ants without poison access after food exchange via trophallaxis" ] }, { "type": "CodeChunk", "duration": 180.529, "programmingLanguage": "r", "text": "######################################################################################################\n#################################### Fig 4: Survival trophallaxis ####################################\n######################################################################################################\n\n\n#############loading data for Fig.4\nsurvival.trophallaxis<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708520\",header=T,stringsAsFactors=T)#choose data file: Supplementary Data Fig.4.txt\n#str(survival)\n\n\n#############statistical analysis for Fig. 4\nm.survival.trophallaxis<-coxme(Surv(time.death,status.death)~treatment+(1|colony)+(1|experiment.block)+(1|petridish),data=survival.trophallaxis)\n#print(m.survival.trophallaxis)\n\n#significance of predictor ant treatment (four levels: donor FA+, donor FA-, receiver FA+, receiver FA-)\nm.survival.trophallaxis0<-coxme(Surv(time.death,status.death)~1+(1|colony)+(1|experiment.block)+(1|petridish),data=survival.trophallaxis)\n#anova(m.survival.trophallaxis,m.survival.trophallaxis0)\n\n#post-hoc comparisons of predictor-levels ant treatment\nm.survival.trophallaxis.glht<-glht(m.survival.trophallaxis,linfct=mcp(treatment=\"Tukey\"))\noutput.m.survival.trophallaxis.glht<-summary(m.survival.trophallaxis.glht,test=adjusted(\"Westfall\"))\n#output.m.survival.trophallaxis.glht\n\n#hazard ratios between predictor-levels ant treatment through releveling of predictor\ntreatment1<-factor(survival.trophallaxis$treatment,levels=c(\"receiverFA+\",\"receiverFA-\",\"donorFA+\",\"donorFA-\"))\ntreatment2<-factor(survival.trophallaxis$treatment,levels=c(\"donorFA+\",\"receiverFA+\",\"receiverFA-\",\"donorFA-\"))\ntreatment3<-factor(survival.trophallaxis$treatment,levels=c(\"receiverFA-\",\"receiverFA+\",\"donorFA+\",\"donorFA-\"))\nm.survival.trophallaxis1<-coxme(Surv(time.death,status.death)~treatment1+(1|colony)+(1|experiment.block)+(1|petridish),data=survival.trophallaxis)\n#print(m.survival.trophallaxis1)\nm.survival.trophallaxis2<-coxme(Surv(time.death,status.death)~treatment2+(1|colony)+(1|experiment.block)+(1|petridish),data=survival.trophallaxis)\n#print(m.survival.trophallaxis2)\nm.survival.trophallaxis3<-coxme(Surv(time.death,status.death)~treatment3+(1|colony)+(1|experiment.block)+(1|petridish),data=survival.trophallaxis)\n#print(m.survival.trophallaxis3)\n\n\n\n#####################################################################################################\n######################### Fig.4 - figure supplement 1: trophallaxis behavior ########################\n#####################################################################################################\n\n\n#############loading data for Fig.4 - figure supplement 1\ntrophallaxis<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708521\",header=T,stringsAsFactors=T)#choose file: Supplementary Data Fig.4 - figure supplement 1.txt\n#str(trophallaxis)\n\n\n#############statistcal analysis for Fig.4 - figure supplement 1\nm.duration.trophallaxis<-lmer(sqrt(sum.duration.trophallaxis)~ant.pair+(1|colony)+(1|experimental.block),data=trophallaxis)\n#summary(m.duration.trophallaxis)\n\n#model validation\nres.m.duration.trophallaxis<-simulateResiduals(fittedModel=m.duration.trophallaxis)\n#plot(res.m.duration.trophallaxis)\n\n#significance of predictor food treatment (three levels: unfed, water, honey)\nm.duration.trophallaxis0<-lmer(sqrt(sum.duration.trophallaxis)~1+(1|colony)+(1|experimental.block),data=trophallaxis)\n#anova(m.duration.trophallaxis,m.duration.trophallaxis0)" }, { "type": "Paragraph", "content": [ "The ability to swallow the acidic poison may not only improve survival of formicine ants feeding directly on pathogen contaminated food but also of ants that share the contaminated food via trophallaxis. To test this, we created two types of donor-receiver ant pairs. Donor ants in both pairs were directly fed ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " contaminated food every other day, while receiver ants obtained food only through trophallaxis from their respective donor ants. Receiver ants in both pairs were precluded from swallowing of the poison through blockage of their acidopore opening, while donor ants were blocked in one pair but only sham blocked in the other pair. We found that the duration of trophallaxis between the two donor-receiver ant pairs during the first 30 min. of the first feeding bout did not significantly differ (", { "type": "Link", "target": "#fig4s1", "content": [ "Figure 4—figure supplement 1" ] }, "; LMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.023, "output": "1.230", "programmingLanguage": "r", "text": "myround(anova(m.duration.trophallaxis,m.duration.trophallaxis0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.023, "output": 1, "programmingLanguage": "r", "text": "anova(m.duration.trophallaxis,m.duration.trophallaxis0)[2,7]" }, ", p=", { "type": "CodeExpression", "duration": 0.023, "output": "0.267", "programmingLanguage": "r", "text": "myround(anova(m.duration.trophallaxis,m.duration.trophallaxis0)[2,8],3)" }, "), indicating that trophallactic behavior was not influenced through acidopore blockage in donor ants at the beginning of the experiment. Over the next 12 d, we found that acidopore blockage per se had a significant negative effect on the survival of donor as well as receiver ants (", { "type": "Link", "target": "#fig4", "content": [ "Figure 4" ] }, "; COXME, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.003, "output": "66.675", "programmingLanguage": "r", "text": "myround(anova(m.survival.trophallaxis,m.survival.trophallaxis0)[2,2],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.004, "output": 3, "programmingLanguage": "r", "text": "anova(m.survival.trophallaxis,m.survival.trophallaxis0)[2,3]" }, ", p", { "type": "CodeExpression", "duration": 0.004, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.survival.trophallaxis,m.survival.trophallaxis0)[2,4],3))" }, "). However, although receiver ants that obtained food every other day from donors with the ability to swallow the poison died at a higher rate than their respective donor counterparts (hazard ratio: ", { "type": "CodeExpression", "duration": 0.003, "output": 1.81, "programmingLanguage": "r", "text": "round(exp(m.survival.trophallaxis2$coefficients)[1],2)" }, "; Westfall corrected post-hoc comparison: p", { "type": "CodeExpression", "duration": 0.002, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval(myround((output.m.survival.trophallaxis.glht$test)$pvalues[5],3))" }, ") they were only half as likely to die compared to receiver ants that obtained pathogen contaminated food from blocked donors unable to swallow their poison (hazard ratio: ", { "type": "CodeExpression", "duration": 0.003, "output": 0.56, "programmingLanguage": "r", "text": "round(exp(m.survival.trophallaxis3$coefficients)[1],2)" }, "; Westfall corrected post-hoc comparison: p", { "type": "CodeExpression", "duration": 0.002, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval(myround((output.m.survival.trophallaxis.glht$test)$pvalues[6],3))" }, "). This indicates that swallowing of the poison and the ensuing crop acidity also provides a fitness benefit to other members of a formicine ant society." ] }, { "type": "CodeChunk", "id": "fig4", "caption": [ { "type": "Heading", "depth": 3, "content": [ "Survival after sharing pathogen contaminated food via trophallaxis." ] }, { "type": "Paragraph", "content": [ "Survival of donor ants (light gray ant outlines) that were directly fed with pathogen contaminated food (yellow circle with pink dots in insert) every other day and were either prevented to ingest their formic acid containing poison gland secretion (FA-; ant outlines with blue dot) or not (FA+) and survival of receiver ants (black ant outlines) that received pathogen contaminated food only through trophallaxis with donor ants and were always prevented to ingest their formic acid containing poison gland secretion (FA-) (COXME, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.003, "output": "66.675", "programmingLanguage": "r", "text": "myround(anova(m.survival.trophallaxis,m.survival.trophallaxis0)[2,2],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.004, "output": 3, "programmingLanguage": "r", "text": "anova(m.survival.trophallaxis,m.survival.trophallaxis0)[2,3]" }, ", p", { "type": "CodeExpression", "duration": 0.003, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.survival.trophallaxis,m.survival.trophallaxis0)[2,4],3))" }, ", same letters indicate p=", { "type": "CodeExpression", "duration": 0.002, "output": "0.310", "programmingLanguage": "r", "text": "myround((output.m.survival.trophallaxis.glht$test)$pvalues[2],3)" }, ") and different letters indicate p≤", { "type": "CodeExpression", "duration": 0.002, "output": "0.002", "programmingLanguage": "r", "text": "myround((output.m.survival.trophallaxis.glht$test)$pvalues[3],3)" }, ") in Westfall corrected post hoc comparisons)." ] } ], "duration": 0.009, "label": "Figure 4", "outputs": [ { "type": "ImageObject", "contentUrl": 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" } ], "programmingLanguage": "r", "text": "#' @width 40\n#' @height 30\n\n#############plot Fig. 4\nfig.4<-ggplot(survival.trophallaxis,aes(time=time.death,,status=status.death,linetype=treatment,colour=treatment))+\ngeom_km(lwd=2)+\nscale_colour_manual(values=c(\"grey\",\"grey\",\"black\",\"black\"),name=\"Animal:\",labels=c(\"donor FA-\",\"donor FA+\",\"receiver FA- with\\ndonor FA-\",\"receiver FA- with\\ndonor FA+\"))+\nscale_linetype_manual(values=c(\"dashed\",\"solid\",\"dashed\",\"solid\"),name=\"Animal:\",label=c(\"donor FA-\",\"donor FA+\",\"receiver FA- with\\ndonor FA-\",\"receiver FA- with\\ndonor FA+\"))+\nscale_x_continuous(name=\"Time in days\",breaks=seq(0,14,2))+\nscale_y_continuous(name=\"Proportion survival\",limits=c(0,1))+\nannotate(\"text\",x=c(12.5,12.5,12.5,12.5),y=c(0.26,0.17,0.1,0.06),size=10,label=c(\"a\",\"b\",\"c\",\"c\"),fontface=2)+\ntheme(axis.line = element_line(colour = \"black\",size=2),\n axis.ticks=element_line(colour=\"black\",size=2),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=25),\n axis.text.y=element_text(colour=\"black\",size=25),\n axis.title.x=element_text(colour=\"black\",size=30,margin=margin(25,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=30,margin=margin(0,25,0,0)),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15),\n legend.key.size=unit(1.5,\"cm\"),\n legend.key=element_blank(),\n legend.position=c(0.8,0.8),\n aspect.ratio=1)\nfig.4" }, { "type": "CodeChunk", "id": "fig4s1", "caption": [ { "type": "Heading", "depth": 3, "content": [ "Duration of trophallaxis in donor-receiver ant pairs." ] }, { "type": "Paragraph", "content": [ "Total duration of trophallaxis events within 30 min. of the first bout of food exchange between donor-receiver ant-pairs (LMM, LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.024, "output": "1.230", "programmingLanguage": "r", "text": "myround(anova(m.duration.trophallaxis,m.duration.trophallaxis0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.028, "output": 1, "programmingLanguage": "r", "text": "anova(m.duration.trophallaxis,m.duration.trophallaxis0)[2,7]" }, ", p=", { "type": "CodeExpression", "duration": 0.024, "output": "0.267", "programmingLanguage": "r", "text": "myround(anova(m.duration.trophallaxis,m.duration.trophallaxis0)[2,8],3)" }, "). Donor ants in both pairs were directly fed with ", { "type": "Emphasis", "content": [ "Serratia marcescens" ] }, " contaminated 10% honey water and were either prevented to ingest their formic acid containing poison gland secretion (FA-) or not (FA+), while receiver ants received pathogen contaminated food only through trophallaxis with the respective donor ants and were always prevented to ingest their formic acid containing poison gland secretion (FA-)." ] } ], "duration": 0.011, "label": "Figure 4—figure supplement 1", "outputs": [ { "type": "ImageObject", "contentUrl": 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} ], "programmingLanguage": "r", "text": "#' @width 40\n#' @height 30\n\nfig.4.figure.supplement1<-ggplot()+\ngeom_boxplot(data=trophallaxis,mapping=aes(x=ant.pair,y=sum.duration.trophallaxis,fill=ant.pair),outlier.shape=NA,lwd=1.5,width=0.4,coef=0)+\ngeom_point(data=trophallaxis,mapping=aes(x=ant.pair,y=sum.duration.trophallaxis,color=ant.pair),position=position_jitter(width=0.1),size=4,alpha=0.9)+\nscale_fill_manual(values=c(\"white\",\"white\"),name=\"Animal pairing:\",labels=c(\"donorFA- receiverFA-\",\"donorFA+ receiverFA-\"),guide=FALSE)+\nscale_colour_manual(values=c(\"deeppink1\",\"deeppink1\"),name=\"Raw data:\",labels=c(\"no\",\"yes\"),guide=FALSE)+\nscale_x_discrete(name=\"Animal pairing\",labels=c(\"donorFA- receiverFA-\",\"donorFA+ receiverFA-\"))+\nscale_y_continuous(name=\"Duration trophallaxis [s]\",limits=c(-5,1800),breaks=seq(0,1800,200))+\ngeom_segment(aes(x = 1, y = 1750, xend = 2, yend = 1750),lwd=2)+\nannotate(\"text\",x=c(1.5),y=c(1800),size=10,label=c(expression(paste(italic(\"P\"),\" = 0.268\"))),fontface=2)+\ntheme(axis.line = element_line(colour = \"black\",size=1.5),\n axis.ticks=element_line(colour=\"black\",size=1.5),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=20),\n axis.text.y=element_text(colour=\"black\",size=20),\n axis.title.x=element_text(colour=\"black\",size=25,margin=margin(20,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=25,margin=margin(0,22,0,0)),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key=element_blank(),\n legend.position=\"right\")\nfig.4.figure.supplement1" }, { "type": "Heading", "depth": 2, "content": [ "Poison acidified crops allow members of the bacteria family Acetobacteraceae passage to the midgut" ] }, { "type": "CodeChunk", "duration": 6.792, "programmingLanguage": "r", "text": "######################################################################################################\n################################ Fig 5 a,b: Asaia viability in vivo ##################################\n######################################################################################################\n\n\n#############loading data for Fig.5a,b\ngrowth.asaia<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708522\",header=T,stringsAsFactors=T)#choose data file: Supplementary Data Fig.5a,b.txt\n#str(growth.asaia)\n\n#create factor variable time2 from the continuous variable time\ngrowth.asaia$time2<-as.factor(growth.asaia$time)\n\n#subsetting the data frame into two groups (growth.asaia.crop, growth.asaia.midgut)\ngrowth.asaia.crop<-subset(growth.asaia,gutregion==\"crop\")\ngrowth.asaia.crop<-drop.levels(growth.asaia.crop)\ngrowth.asaia.midgut<-subset(growth.asaia,gutregion==\"midgut\")\ngrowth.asaia.midgut<-drop.levels(growth.asaia.midgut)\n\n#calculation of median values and confidence intervals of change in CFUs relative to 0h in the crop\ngrowth.asaia.summary<-ddply(growth.asaia,c(\"gutregion\",\"time\"),summarise,\nN=length(cfu.change.relative),\nmedian=quantile(cfu.change.relative,0.5),\nlowerCI=quantile(cfu.change.relative,0.025),\nupperCI=quantile(cfu.change.relative,0.975))\n#growth.asaia.summary\n\n#removal of time factor levels 0h in the midgut of asaia fed ants, as this level consisted only of zeros and is not included in the statistical analysis\ngrowth.asaia.midgut1<-subset(growth.asaia.midgut,time2!=\"0\")\ngrowth.asaia.midugt1<-drop.levels(growth.asaia.midgut1)\n\n\n#############statistical analysis Fig. 5a\nm.growth.asaia.crop<-glmmTMB(cfu~time2+(1|colony),data=growth.asaia.crop,ziformula=~1,family=nbinom2)\n#summary(m.growth.asaia.crop)\n\n#model validation\nres.m.growth.asaia.crop<-simulateResiduals(fittedModel=m.growth.asaia.crop)\n#plot(res.m.growth.asaia.crop)\n\n#statistical significance of predictor time since feeding (five levels: 0h, 0.5h, 4h, 24h, 48h)\nm.growth.asaia.crop0<-glmmTMB(cfu~1+(1|colony),data=growth.asaia.crop,ziformula=~1,family=nbinom2)\n#anova(m.growth.asaia.crop,m.growth.asaia.crop0)\n\n#post-hoc comporisons of predictor-levels time since feeding\nm.growth.asaia.crop.glht<-glht_glmmTMB(m.growth.asaia.crop,linfct=mcp(time2=\"Tukey\"))\noutput.m.growth.asaia.crop.glht<-summary(m.growth.asaia.crop.glht,test=adjusted(\"Westfall\"))\n#output.m.growth.asaia.crop.glht\n\n\n#############statistical analysis Fig. 5b\nm.growth.asaia.midgut<-glmmTMB(cfu~time2+(1|colony),data=growth.asaia.midgut1,ziformula=~1,family=nbinom1)\n#summary(m.growth.asaia.midgut)\n\n#model validation\nres.m.growth.asaia.midgut<-simulateResiduals(fittedModel=m.growth.asaia.midgut)\n#plot(res.m.growth.asaia.midgut)\n\n#statistical significance of predictor time since feeding (four levels: 0.5h, 4h, 24h, 48h)\nm.growth.asaia.midgut0<-glmmTMB(cfu~1+(1|colony),data=growth.asaia.midgut1,ziformula=~1,family=nbinom1)\n#anova(m.growth.asaia.midgut,m.growth.asaia.midgut0)\n\n#post-hoc comporisons of predictor-levels time since feeding\nm.growth.asaia.midgut.glht<-glht_glmmTMB(m.growth.asaia.midgut,linfct=mcp(time2=\"Tukey\"))\noutput.m.growth.asaia.midgut.glht<-summary(m.growth.asaia.midgut.glht,test=adjusted(\"Westfall\"))\n#output.m.growth.asaia.midgut.glht\n\n\n\n######################################################################################################\n##################### Fig. 5 - figure supplement 1: Asaia growth in vitro ############################\n######################################################################################################\n\n\n#############loading data for Fig. 5 - figure supplement 1\nasaia.growth.invitro<-read.delim(\"https://datadryad.org/stash/downloads/file_stream/708523\",header=T,stringsAsFactors=T)#choose file: Supplementary Data Fig. 5 - figure supplement 1.txt\n#str(asaia.growth.invitro)\n\n#calculation of median values and confidence intervals of change in CFUs relative to pH 5\nasaia.growth.invitro.summary<-ddply(asaia.growth.invitro,c(\"ph\"),summarize,\nmedian.cfu.change=quantile(cfu.change.relative,0.5),\nlowerCI.cfu.change=quantile(cfu.change.relative,0.025),\nupperCI.cfu.change=quantile(cfu.change.relative,0.975))\n#asaia.growth.invitro.summary\n\n#removal of pH level 2 from asaia.growth.invitro, as this level consisted only of zeros\nasaia.growth.invitro1<-subset(asaia.growth.invitro,ph!=\"pH2\")\nasaia.growth.invitro1<-drop.levels(asaia.growth.invitro1)\n#str(asaia.growth.invitro1)\n\n\n#############statistical analysis Fig. 5 - figure supplement 1\nm.asaia.growth.invitro1<-glm.nb(cfu~ph,data=asaia.growth.invitro1)\n#summary(m.asaia.growth.invitro1)\n\n#model validation\nres.m.asaia.growth.invitro1<-simulateResiduals(fittedModel=m.asaia.growth.invitro1)\n#plot(res.m.asaia.growth.invitro1)\n\n#statistical significance of predictor pH-level (two levels: pH5, pH4)\nm.asaia.growth.invitro10<-glm.nb(cfu~1,data=asaia.growth.invitro1)\n#anova(m.asaia.growth.invitro1,m.asaia.growth.invitro10)\n\n#post-hoc comparison among predictor levels of pH (three levels: pH5, pH4, pH3)\nm.asaia.growth.invitro1.glht<-glht(m.asaia.growth.invitro1,linfct=mcp(ph=\"Tukey\"))\noutput.m.asaia.growth.invitro1.glht<-summary(m.asaia.growth.invitro1.glht,test=adjusted(\"Westfall\"))\n#output.m.asaia.growth.invitro1.glht" }, { "type": "Paragraph", "content": [ "In addition to microbial control, poison acidified formicine ant crops might act as a chemical filter for gut-associated microbial communities, similar to gut morphological structures that can act as mechanical filters in ants (", { "type": "Cite", "target": "bib25" }, "; ", { "type": "Cite", "target": "bib51" }, "; ", { "type": "Cite", "target": "bib85" }, "; ", { "type": "Cite", "target": "bib87" }, "; ", { "type": "Cite", "target": "bib117" }, ") and other insects (", { "type": "Cite", "target": "bib71" }, "; ", { "type": "Cite", "target": "bib107" }, "). To investigate the idea of a chemical filter, we tested the ability of the insect gut-associated bacterium ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. (family Acetobacteraceae) (", { "type": "Cite", "target": "bib34" }, "; ", { "type": "Cite", "target": "bib44" }, ") to withstand acidic environments in vitro and in vivo. In contrast to ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " (", { "type": "Link", "target": "#fig2s2", "content": [ "Figure 2—figure supplement 2" ] }, "), ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. was not affected by an incubation for 2 hr in 10% honey water acidified with formic acid to pH 4 and was still able to grow when incubated at pH 3 in in vitro tests (", { "type": "Link", "target": "#fig5s1", "content": [ "Figure 5—figure supplement 1" ] }, "; GLM, overall LR-test χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.003, "output": "21.179", "programmingLanguage": "r", "text": "myround(anova(m.asaia.growth.invitro1,m.asaia.growth.invitro10)[2,7],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.005, "output": 2, "programmingLanguage": "r", "text": "anova(m.asaia.growth.invitro1,m.asaia.growth.invitro10)[2,6]" }, ", p", { "type": "CodeExpression", "duration": 0.003, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.asaia.growth.invitro1,m.asaia.growth.invitro10)[2,8],3))" }, "; Westfall corrected post hoc comparisons: pH = 5 versus. pH = 4: p=", { "type": "CodeExpression", "duration": 0.002, "output": "0.234", "programmingLanguage": "r", "text": "myround((output.m.asaia.growth.invitro1.glht$test)$pvalues[3],3)" }, ", all other comparisons: p", { "type": "CodeExpression", "duration": 0.003, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval(myround((output.m.asaia.growth.invitro1.glht$test)$pvalues[1],3))" }, "). Moreover, in in vivo tests, ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. only gradually diminished over time in the crop (", { "type": "Link", "target": "#fig5", "content": [ "Figure 5a" ] }, "; GLMM; LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.004, "output": "124.012", "programmingLanguage": "r", "text": "myround(anova(m.growth.asaia.crop,m.growth.asaia.crop0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.003, "output": 4, "programmingLanguage": "r", "text": "anova(m.growth.asaia.crop,m.growth.asaia.crop0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.003, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval(myround(anova(m.growth.asaia.crop,m.growth.asaia.crop0)[2,8],3))" }, ") with the proportion of CFUs that we were able to retrieve from the crop relative to the mean at 0 hr in the crop diminishing to only ", { "type": "CodeExpression", "duration": 0.003, "output": 34, "programmingLanguage": "r", "text": "round(growth.asaia.summary[3,4]*100)" }, "% (median, CI: ", { "type": "CodeExpression", "duration": 0.002, "output": 3, "programmingLanguage": "r", "text": "round(growth.asaia.summary[3,5]*100)" }, "–", { "type": "CodeExpression", "duration": 0.003, "output": 85, "programmingLanguage": "r", "text": "round(growth.asaia.summary[3,6]*100)" }, "%) and ", { "type": "CodeExpression", "duration": 0.004, "output": 2, "programmingLanguage": "r", "text": "round(growth.asaia.summary[4,4]*100)" }, "% (CI: ", { "type": "CodeExpression", "duration": 0.003, "output": 0, "programmingLanguage": "r", "text": "round(growth.asaia.summary[4,5]*100)" }, "–", { "type": "CodeExpression", "duration": 0.002, "output": 7, "programmingLanguage": "r", "text": "round(growth.asaia.summary[4,6]*100)" }, "%) at 4 hr and 24 hr post-feeding, respectively. At the same time, relative to the mean at 0 hr in the crop, ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. steadily increased in the midgut (", { "type": "Link", "target": "#fig5", "content": [ "Figure 5b" ] }, "; GLMM; LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.005, "output": "59.940", "programmingLanguage": "r", "text": "myround(anova(m.growth.asaia.midgut,m.growth.asaia.midgut0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.005, "output": 3, "programmingLanguage": "r", "text": "anova(m.growth.asaia.midgut,m.growth.asaia.midgut0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.004, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval(myround(anova(m.growth.asaia.midgut,m.growth.asaia.midgut0)[2,8],3))" }, ") from its initial absence at 0 hr post-feeding to ", { "type": "CodeExpression", "duration": 0.002, "output": 2, "programmingLanguage": "r", "text": "round(growth.asaia.summary[10,4]*100)" }, "% (median, CI: ", { "type": "CodeExpression", "duration": 0.003, "output": 0, "programmingLanguage": "r", "text": "round(growth.asaia.summary[10,5]*100)" }, "–", { "type": "CodeExpression", "duration": 0.003, "output": 5, "programmingLanguage": "r", "text": "round(growth.asaia.summary[10,6]*100)" }, "%) at 48 hr post-feeding. This suggests that in formicine ants, poison acidified crops might act as a chemical filter that works selectively against the establishment of opportunistic and potentially harmful bacteria but allows entry and establishment of members of the bacterial family Acetobacteraceae." ] }, { "type": "CodeChunk", "id": "fig5", "caption": [ { "type": "Heading", "depth": 3, "content": [ "Viability of ", { "type": "Emphasis", "content": [ "Asaia sp" ] }, ". over time in the digestive tract of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, "." ] }, { "type": "Paragraph", "content": [ "Change in the number of colony forming units (CFUs) in the crop (", { "type": "Strong", "content": [ "a" ] }, ") and midgut (", { "type": "Strong", "content": [ "b" ] }, ") part of the digestive tract (yellow color in insert) relative to the mean CFU-number at 0 hr in the crop (CFU change corresponds to single data CFU-values divided by mean CFU-value at 0 hr in the crop), 0 hr, 0.5 hr, 4 hr, 24 hr, and 48 hr after feeding ants 10% honey water contaminated with ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. (", { "type": "Strong", "content": [ "a" ] }, "), Change of ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. in the crop (GLMM; LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.003, "output": "124.012", "programmingLanguage": "r", "text": "myround(anova(m.growth.asaia.crop,m.growth.asaia.crop0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.004, "output": 4, "programmingLanguage": "r", "text": "anova(m.growth.asaia.crop,m.growth.asaia.crop0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.003, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval(myround(anova(m.growth.asaia.crop,m.growth.asaia.crop0)[2,8],3))" }, ", same letters indicate p=", { "type": "CodeExpression", "duration": 0.002, "output": "0.488", "programmingLanguage": "r", "text": "myround((output.m.growth.asaia.crop.glht$test)$pvalues[1],3)" }, " and different letters indicate p≤", { "type": "CodeExpression", "duration": 0.002, "output": "0.013", "programmingLanguage": "r", "text": "myround((output.m.growth.asaia.crop.glht$test)$pvalues[5],3)" }, " in Westfall corrected post hoc comparisons). (", { "type": "Strong", "content": [ "b" ] }, "), Change of ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. in the midgut (GLMM; LR-test, χ", { "type": "Superscript", "content": [ "2" ] }, " =", { "type": "CodeExpression", "duration": 0.003, "output": "59.940", "programmingLanguage": "r", "text": "myround(anova(m.growth.asaia.midgut,m.growth.asaia.midgut0)[2,6],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.003, "output": 3, "programmingLanguage": "r", "text": "anova(m.growth.asaia.midgut,m.growth.asaia.midgut0)[2,7]" }, ", p", { "type": "CodeExpression", "duration": 0.003, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval(myround(anova(m.growth.asaia.midgut,m.growth.asaia.midgut0)[2,8],3))" }, ", same letters indicate p=", { "type": "CodeExpression", "duration": 0.003, "output": "0.116", "programmingLanguage": "r", "text": "myround((output.m.growth.asaia.midgut.glht$test)$pvalues[1],3)" }, " and different letters indicate p≤", { "type": "CodeExpression", "duration": 0.002, "output": "0.005", "programmingLanguage": "r", "text": "myround((output.m.growth.asaia.midgut.glht$test)$pvalues[4],3)" }, " in Westfall corrected post hoc comparisons). Note that timepoints with zero bacterial growth in the midgut (0 hr) were excluded from the statistical model." ] } ], "duration": 0.019, "label": "Figure 5", "outputs": [ { "type": "ImageObject", "contentUrl": 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" } ], "programmingLanguage": "r", "text": "#' @width 40\n#' @height 30\n\n#############plot Fig. 5a\nfig.5a<-ggplot()+\ngeom_boxplot(data=growth.asaia.crop,aes(x=time2,y=cfu.change.relative),fill=\"white\",outlier.shape=NA,lwd=1.5,alpha=0.3,coef=0,width=0.4)+\ngeom_point(data=growth.asaia.crop,aes(x=time2,y=cfu.change.relative),pch=21,fill=\"grey70\",color=\"white\",alpha=1,size=5,position=position_jitter(width=0.1))+\nannotate(\"text\",x=c(1,2,3,4,5),y=c(3,3,1.7,0.8,0.5),size=9,label=c(\"a\",\"a\",\"b\",\"c\",\"d\"),fontface=2)+#statistical significance \nscale_x_discrete(name=\"Time\",labels=c(\"0h\",\"0.5h\",\"4h\",\"24h\",\"48h\"))+\nscale_y_continuous(name=\"CFU change\",limits=c(-0.01,4))+\nlabs(tag=\"a\")+\ntheme(axis.line = element_line(colour = \"black\",size=2),\n axis.ticks=element_line(colour=\"black\",size=2),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=25),\n axis.text.y=element_text(colour=\"black\",size=25),\n axis.title.x=element_text(colour=\"black\",size=30,margin=margin(25,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=30,margin=margin(0,25,0,0)),\n plot.tag=element_text(colour=\"black\",size=60,face=\"bold\"),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15,face=\"italic\"),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key=element_blank(),\n aspect.ratio=1)\nfig.5a\n\n#############plot Fig. 5b\nfig.5b<-ggplot()+\ngeom_boxplot(data=growth.asaia.midgut,aes(x=time2,y=cfu.change.relative),fill=\"white\",outlier.shape=NA,lwd=1.5,alpha=0.3,coef=0,width=0.4)+\ngeom_point(data=growth.asaia.midgut,aes(x=time2,y=cfu.change.relative),pch=21,fill=\"grey70\",color=\"white\",alpha=1,size=5,position=position_jitter(width=0.1))+\nannotate(\"text\",x=c(2,3,4,5),y=c(0.02,0.02,0.03,0.065),size=9,label=c(\"a\",\"a\",\"b\",\"c\"),fontface=2)+\nscale_x_discrete(name=\"Time\",labels=c(\"0h\",\"0.5h\",\"4h\",\"24h\",\"48h\"))+\nscale_y_continuous(name=\"Change in CFU's\",limits=c(-0.01,0.065))+\nlabs(tag=\"b\")+\ntheme(axis.line = element_line(colour = \"black\",size=2),\n axis.ticks=element_line(colour=\"black\",size=2),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=25),\n axis.text.y=element_text(colour=\"black\",size=25),\n axis.title.x=element_text(colour=\"black\",size=30,margin=margin(25,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=30,margin=margin(0,25,0,0)),\n plot.tag=element_text(colour=\"black\",size=60,face=\"bold\"),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15,face=\"italic\"),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key=element_blank(),\n aspect.ratio=1)\nfig.5b\n" }, { "type": "CodeChunk", "id": "fig5s1", "caption": [ { "type": "Heading", "depth": 3, "content": [ { "type": "Emphasis", "content": [ "Asaia sp" ] }, ". growth in vitro." ] }, { "type": "Paragraph", "content": [ "Change in the number of CFUs relative to the mean at pH 5 (CFU change corresponds to single data CFU-value divided by mean CFU-value at pH 5) after incubation of ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. in 10% honey water (pH = 5) or in 10% honey water acidified with commercial formic acid to a pH of 4, 3, or 2 for 2 hr (GLM, LR-test χ", { "type": "Superscript", "content": [ "2" ] }, " = ", { "type": "CodeExpression", "duration": 0.003, "output": "21.179", "programmingLanguage": "r", "text": "myround(anova(m.asaia.growth.invitro1,m.asaia.growth.invitro10)[2,7],3)" }, ", df = ", { "type": "CodeExpression", "duration": 0.003, "output": 2, "programmingLanguage": "r", "text": "anova(m.asaia.growth.invitro1,m.asaia.growth.invitro10)[2,6]" }, ", p", { "type": "CodeExpression", "duration": 0.003, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval( myround(anova(m.asaia.growth.invitro1,m.asaia.growth.invitro10)[2,8],3))" }, ", same letters indicate p=", { "type": "CodeExpression", "duration": 0.002, "output": "0.234", "programmingLanguage": "r", "text": "myround((output.m.asaia.growth.invitro1.glht$test)$pvalues[3],3)" }, ", and different letters indicate p", { "type": "CodeExpression", "duration": 0.002, "output": "<0.001", "programmingLanguage": "r", "text": "format_pval(myround((output.m.asaia.growth.invitro1.glht$test)$pvalues[1],3))" }, " in Westfall corrected post hoc comparisons). Note that pH-values with zero bacterial growth (pH 2) were excluded from the statistical model." ] } ], "duration": 0.009, "label": "Figure 5—figure supplement 1", "outputs": [ { "type": "ImageObject", "contentUrl": 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" } ], "programmingLanguage": "r", "text": "#' @width 40\n#' @height 30\n\n#############plot Fig. 5 - figure supplement 1\nfig.5.figure.supplement1<-ggplot()+\ngeom_boxplot(data=asaia.growth.invitro,aes(x=ph,y=cfu.change.relative),fill=\"white\",outlier.shape=NA,lwd=1.5,position=position_dodge(0.6),alpha=0.6,coef=0,width=0.4)+\ngeom_point(data=asaia.growth.invitro,aes(x=ph,y=cfu.change.relative,colour=ph),position=position_jitterdodge(dodge=0.6),size=4,alpha=0.8)+\nscale_colour_manual(values=c(\"grey40\",\"grey40\",\"grey40\",\"grey40\"),name=\"Raw data:\",guide=FALSE)+\nannotate(\"text\",x=c(2,3,4),y=c(0.9,1.4,1.4),size=9,label=c(\"b\",\"a\",\"a\"),fontface=2)+#statistical significance \nscale_x_discrete(name=\"pH of honeywater\",labels=c(\"2\",\"3\",\"4\",\"5\"))+\nscale_y_continuous(name=\"CFU change\",limits=c(0,1.7))+\ntheme(axis.line = element_line(colour = \"black\",size=1.5),\n axis.ticks=element_line(colour=\"black\",size=1.5),\n axis.ticks.length=unit(0.3,\"cm\"),\n axis.text.x=element_text(colour=\"black\",size=30),\n axis.text.y=element_text(colour=\"black\",size=30),\n axis.title.x=element_text(colour=\"black\",size=40,margin=margin(20,0,0,0)),\n axis.title.y=element_text(colour=\"black\",size=40,margin=margin(0,22,0,0)),\n panel.grid.major = element_blank(),\n panel.grid.minor = element_blank(),\n panel.border = element_blank(),\n panel.background = element_blank(),\n legend.title=element_text(size=15),\n legend.text=element_text(size=15),\n legend.key.size=unit(1.2,\"cm\"),\n legend.key=element_blank(),\n legend.position=\"bottom\",\n aspect.ratio=1)\nfig.5.figure.supplement1" }, { "type": "Heading", "depth": 1, "content": [ "Discussion" ] }, { "type": "Paragraph", "content": [ "In this study, we investigated how formicine ants solve the challenge to control harmful microbes in their food while at the same time allowing acquisition and transmission of beneficial microbes from and with their food. We found that formicine ants swallow their antimicrobial, highly acidic poison gland secretion during the behavior of acidopore grooming. The resulting acidic environment in their stomach, the crop, can protect formicine ants from food borne bacterial pathogens while at the same time allowing the acquisition and establishment of members of the bacterial family Acetobacteraceae, a recurring part of the gut microbiota of formicine ants." ] }, { "type": "Paragraph", "content": [ "Highly acidic stomach lumens are ubiquitous in higher vertebrates, including amphibians, reptiles, birds and mammals (", { "type": "Cite", "target": "bib7" }, "; ", { "type": "Cite", "target": "bib80" }, "). In insects, highly acidic gut regions have so far only rarely been described from the midgut (", { "type": "Cite", "target": "bib28" }, "; ", { "type": "Cite", "target": "bib66" }, "). The mechanisms responsible for the creation of a gut lumen compartment with a certain pH are often unknown in insects (", { "type": "Cite", "target": "bib57" }, "), but in principle, highly acidic gut regions in insects may, similar to vertebrates (", { "type": "Cite", "target": "bib60" }, "), be generated through physiological mechanisms (", { "type": "Cite", "target": "bib93" }, "; ", { "type": "Cite", "target": "bib96" }, "; ", { "type": "Cite", "target": "bib109" }, "). Alternatively, acidic derivatives of gut-associated microbes (", { "type": "Cite", "target": "bib122" }, ", ", { "type": "Cite", "target": "bib123" }, ", ", { "type": "Cite", "target": "bib149" }, ") or acidic gland secretions (", { "type": "Cite", "target": "bib11" }, "; ", { "type": "Cite", "target": "bib100" }, "; ", { "type": "Cite", "target": "bib143" }, ") might contribute to the insect gut pH. In agreement with the latter, the results of our study show that formicine ants maintain a highly acidic baseline pH in their stomach, the crop, through swallowing of their poison gland secretion during acidopore grooming. Interestingly, although we found that a higher crop acidity was observed in all formicine ants in our comparative survey when they had access to their poison, we also found that crop acidity was highly variable in ants with and without access to their poison. While a variable crop acidity in ants without access to their poison could indicate the existence of additional internal or external sources that maintain crop acidity, a variable crop acidity in ants with access to their poison could indicate species specific differences in acidopore grooming, in the composition of the poison gland secretion or in optimal crop acidity. Future studies will need to explore these possibilities." ] }, { "type": "Paragraph", "content": [ "Sanitation of food through the addition of organic acids or through acidic fermentation is frequently practiced by humans (", { "type": "Cite", "target": "bib29" }, "; ", { "type": "Cite", "target": "bib64" }, "; ", { "type": "Cite", "target": "bib139" }, ") and sanitation of food with antimicrobials from different sources is ubiquitous in animals that provision food to their offspring or that store, cultivate, develop or live in food (", { "type": "Cite", "target": "bib35" }, "; ", { "type": "Cite", "target": "bib62" }, "; ", { "type": "Cite", "target": "bib63" }, "; ", { "type": "Cite", "target": "bib74" }, "; ", { "type": "Cite", "target": "bib102" }, "; ", { "type": "Cite", "target": "bib144" }, "). A microbial control function of poison acidified crops in formicine ants to sanitize ingested food is supported by our survival experiments and our in vivo and in vitro bacterial growth and viability experiments. There we found that access to the poison improved survival of formicine ants after feeding on pathogen contaminated food. We also found that pathogenic and opportunistic bacteria were quickly inhibited in the crop when ingested with food and could not establish in the midgut. Although our data suggests that this is likely due to the sensitivity of these bacteria to acidic environments, our evidence for this is only indirect. At present it is unclear whether the acidic environment in the crop is sufficient to protect formicine ants and to inhibit pathogenic and opportunistic microbes ingested with food or whether acidic conditions act in concert with other factors. Studies in vertebrates and the fruit fly ", { "type": "Emphasis", "content": [ "Drosophila melanogaster" ] }, " have shown that acidic gut regions together with immune system effectors serve microbial control and prevent infection by oral pathogens (", { "type": "Cite", "target": "bib50" }, "; ", { "type": "Cite", "target": "bib68" }, "; ", { "type": "Cite", "target": "bib92" }, "; ", { "type": "Cite", "target": "bib113" }, "; ", { "type": "Cite", "target": "bib119" }, "; ", { "type": "Cite", "target": "bib133" }, "; ", { "type": "Cite", "target": "bib136" }, "; ", { "type": "Cite", "target": "bib147" }, "). Concordantly, previous studies investigating formicine ant trophallactic fluids ", { "type": "Cite", "target": "bib55" }, "; ", { "type": "Cite", "target": "bib86" }, " found the presence of proteins related to cathepsin D, a lysosomal aspartic protease that can exhibit antibacterial effector activity and the proteolytic production of antimicrobial peptides (", { "type": "Cite", "target": "bib105" }, "). Future studies will therefore need to disentangle the relative contributions of crop acidity and immune system effectors released into the gut lumen to the improved survival of formicine ants in the face of pathogen contaminated food and to the microbe inhibitory action of poison acidified crops in formicine ants." ] }, { "type": "Paragraph", "content": [ "In addition to improving their own survival, the ability of donor ants to access their poison also improved the survival of receiver ants without access to their poison following trophallactic exchange of pathogen-contaminated food. Acidic crop lumens might therefore act as a barrier to disease spread in formicine ant societies, alleviating the cost of sharing pathogen contaminated food (", { "type": "Cite", "target": "bib108" }, "; ", { "type": "Cite", "target": "bib125" }, ") and counteracting the generally increased risk of pathogen exposure and transmission associated with group-living (", { "type": "Cite", "target": "bib1" }, "; ", { "type": "Cite", "target": "bib13" }, "; ", { "type": "Cite", "target": "bib75" }, "). Although food distribution via trophallaxis is a dynamic process governed by many different factors (", { "type": "Cite", "target": "bib22" }, "; ", { "type": "Cite", "target": "bib23" }, "; ", { "type": "Cite", "target": "bib52" }, "; ", { "type": "Cite", "target": "bib130" }, "), the technological advances in recent years to track multiple individuals of a group simultaneously over time (", { "type": "Cite", "target": "bib49" }, "; ", { "type": "Cite", "target": "bib52" }, "; ", { "type": "Cite", "target": "bib69" }, "; ", { "type": "Cite", "target": "bib134" }, "), will make it possible to clarify the contribution of acidic crop lumens to disease spread prevention in formicine ant societies." ] }, { "type": "Paragraph", "content": [ "Acidic crop lumens might not only serve microbial control but might also act as a chemical filter for microbes, working selectively against pathogenic or opportunistic bacteria but allowing entry and establishment of species from the bacteria family Acetobacteraceae. We found that, compared to a bacterial pathogen, a bacterial member of the Acetobacteraceae was not only better able to withstand acidic conditions created with formic acid in vitro but was able to establish itself in the midgut of formicine ants in vivo. This suggests that host filtering of microbes (", { "type": "Cite", "target": "bib94" }, ") via acidic crop lumens might explain at least part of the recurrent presence of Acetobacteraceae in the gut of formicine ants and the otherwise reduced microbial diversity and abundance of gut-associated microbes in formicine ants (", { "type": "Cite", "target": "bib18" }, "; ", { "type": "Cite", "target": "bib19" }, "; ", { "type": "Cite", "target": "bib31" }, "; ", { "type": "Cite", "target": "bib32" }, "; ", { "type": "Cite", "target": "bib72" }, "; ", { "type": "Cite", "target": "bib124" }, ")." ] }, { "type": "Paragraph", "content": [ "Though not formally established (see ", { "type": "Cite", "target": "bib103" }, "), recent studies indicate a mutualistic relationship between formicine ants, and their gut-associated Acetobacteraceae (", { "type": "Cite", "target": "bib19" }, "; ", { "type": "Cite", "target": "bib32" }, "). Thus, the creation of an acidic crop environment in formicine ants that is easier to endure if colonizing microbes are mutualists agrees with the concept of screening as a mechanism to choose microbial partners out of a pool of environmental microbes (", { "type": "Cite", "target": "bib3" }, "; ", { "type": "Cite", "target": "bib4" }, "; ", { "type": "Cite", "target": "bib9" }, "; ", { "type": "Cite", "target": "bib127" }, "). Contrary to signalling, where costly information is displayed to partners, in screening a costly environment is imposed on partners that excludes all but high-quality ones. Partner choice in a number of cross-kingdom mutualisms is readily explained by screening (see examples in ", { "type": "Cite", "target": "bib3" }, "; ", { "type": "Cite", "target": "bib4" }, "; ", { "type": "Cite", "target": "bib9" }, "; ", { "type": "Cite", "target": "bib127" }, ") but experimental evidence is so far limited in insect-microbe associations (", { "type": "Cite", "target": "bib70" }, "; ", { "type": "Cite", "target": "bib71" }, "; ", { "type": "Cite", "target": "bib120" }, "). Although our experiments can only hint at screening as a means of partner choice in formicine ants, the results of our study would provide support for the prediction that screening is more likely to evolve from a host’s defense trait against parasites (", { "type": "Cite", "target": "bib3" }, "; ", { "type": "Cite", "target": "bib4" }, "), that is, the highly acidic, antimicrobial poison that creates a selective environment for microbes. Our study might therefore not only provide evidence that the well-established cross talk between the immune system and gut-associated microbes in vertebrates and invertebrates (", { "type": "Cite", "target": "bib30" }, "; ", { "type": "Cite", "target": "bib119" }, "; ", { "type": "Cite", "target": "bib133" }, "; ", { "type": "Cite", "target": "bib147" }, "; ", { "type": "Cite", "target": "bib150" }, ") can hold for a broader range of immune defense traits (sensu ", { "type": "Cite", "target": "bib112" }, ") but also that this cross talk can be realized through signals (", { "type": "Cite", "target": "bib46" }, "; ", { "type": "Cite", "target": "bib101" }, "; ", { "type": "Cite", "target": "bib145" }, ") and through screening." ] }, { "type": "Paragraph", "content": [ "Overall, our study provides evidence that poison acidified crop lumens of formicine ants can act as a chemical filter for control and selection of microbes ingested with food. Poison acidified formicine crops might thus contribute to the ecological and evolutionary success of this group of insects by alleviating the increased risk of pathogen exposure and transmission associated with group living but allowing the acquisition and transmission of microbial mutualists. Similar microbial filters likely represent a widespread theme to manage harmful and beneficial host-associated microbes but have so far only partly been uncovered in a few animal systems (", { "type": "Cite", "target": "bib26" }, "; ", { "type": "Cite", "target": "bib39" }, "; ", { "type": "Cite", "target": "bib126" }, "; ", { "type": "Cite", "target": "bib129" }, "; ", { "type": "Cite", "target": "bib131" }, "; ", { "type": "Cite", "target": "bib132" }, "; ", { "type": "Cite", "target": "bib146" }, ")." ] }, { "type": "Heading", "depth": 1, "content": [ "Materials and methods" ] }, { "type": "Table", "id": "keyresource", "caption": [], "label": "Key resources table", "rows": [ { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Reagent type (species) or resource" ] }, { "type": "TableCell", "content": [ "Designation" ] }, { "type": "TableCell", "content": [ "Source or reference" ] }, { "type": "TableCell", "content": [ "Identifiers" ] }, { "type": "TableCell", "content": [ "Additional information" ] } ], "rowType": "header" }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Biological sample (", { "type": "Emphasis", "content": [ "Camponotus floridanus)" ] } ] }, { "type": "TableCell", "content": [ { "type": "Emphasis", "content": [ "Camponotus floridanus" ] } ] }, { "type": "TableCell", "content": [ "other" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [ "See Materials and methods" ] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Biological sample (", { "type": "Emphasis", "content": [ "Camponotus maculatus)" ] } ] }, { "type": "TableCell", "content": [ { "type": "Emphasis", "content": [ "Camponotus maculatus" ] } ] }, { "type": "TableCell", "content": [ "other" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [ "See Materials and methods" ] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Biological sample (", { "type": "Emphasis", "content": [ "Lasius fuliginosus)" ] } ] }, { "type": "TableCell", "content": [ { "type": "Emphasis", "content": [ "Lasius fuliginosus" ] } ] }, { "type": "TableCell", "content": [ "other" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [ "See Materials and methods" ] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Biological sample (", { "type": "Emphasis", "content": [ "Formica cinerea)" ] } ] }, { "type": "TableCell", "content": [ { "type": "Emphasis", "content": [ "Formica cinerea" ] } ] }, { "type": "TableCell", "content": [ "other" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [ "See Materials and methods" ] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Biological sample (", { "type": "Emphasis", "content": [ "Formica cunicularia)" ] } ] }, { "type": "TableCell", "content": [ { "type": "Emphasis", "content": [ "Formica cunicularia" ] } ] }, { "type": "TableCell", "content": [ "other" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [ "See Materials and methods" ] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Biological sample (", { "type": "Emphasis", "content": [ "Formica fuscocinerea)" ] } ] }, { "type": "TableCell", "content": [ { "type": "Emphasis", "content": [ "Formica fuscocinerea" ] } ] }, { "type": "TableCell", "content": [ "other" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [ "See Materials and methods" ] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Biological sample (", { "type": "Emphasis", "content": [ "Formica pratensis)" ] } ] }, { "type": "TableCell", "content": [ { "type": "Emphasis", "content": [ "Formica pratensis" ] } ] }, { "type": "TableCell", "content": [ "other" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [ "See 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"TableCell", "content": [ "Strain, strain background (", { "type": "Emphasis", "content": [ "Escherichia coli)" ] } ] }, { "type": "TableCell", "content": [ { "type": "Emphasis", "content": [ "Escherichia coli" ] } ] }, { "type": "TableCell", "content": [ "Strain DSM6897, DSMZ-German Collection of Microorganisms and Cell Cultures GmbH, Braunschweig, Germany" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Strain, strain background (", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp.)" ] }, { "type": "TableCell", "content": [ { "type": "Emphasis", "content": [ "Asaia" ] }, " sp." ] }, { "type": "TableCell", "content": [ "Strain SF2.1 ", { "type": "Cite", "target": "bib44" } ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Other" ] }, { "type": "TableCell", "content": [ "Blaubrand intraMARK micro pipettes" ] }, { "type": "TableCell", "content": [ "Brand, Wertheim, Germany" ] }, { "type": "TableCell", "content": [ "708707" ] }, { "type": "TableCell", "content": [] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Other" ] }, { "type": "TableCell", "content": [ "pH sensitive paper" ] }, { "type": "TableCell", "content": [ "Hartenstein, Würzburg, Germany" ] }, { "type": "TableCell", "content": [ "PHIP" ] }, { "type": "TableCell", "content": [] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Other" ] }, { "type": "TableCell", "content": [ "pH electrode" ] }, { "type": "TableCell", "content": [ "Unisense, Aarhus, Denmark" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Other" ] }, { "type": "TableCell", "content": [ "Polymethylmethacrylate" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [ "University of Bayreuth, Animal Ecology I, group microplastic" ] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Other" ] }, { "type": "TableCell", "content": [ "Leica microscope DM 2000 LED" ] }, { "type": "TableCell", "content": [ "Leica, Wetzlar, Germany" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Other" ] }, { "type": "TableCell", "content": [ "Leica stereomicroscope M 165 C" ] }, { "type": "TableCell", "content": [ "Leica, Wetzlar, Germany" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Other" ] }, { "type": "TableCell", "content": [ "Commercial honey" ] }, { "type": "TableCell", "content": [ "Different brands" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [ "10% (w/v), 1:1 honey:water" ] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Other" ] }, { "type": "TableCell", "content": [ "superglue" ] }, { "type": "TableCell", "content": [ "UHU brand" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Chemical compound, drug" ] }, { "type": "TableCell", "content": [ "≥95% Formic acid" ] }, { "type": "TableCell", "content": [ "Sigmaaldrich, Merck, Darmstadt, Germany" ] }, { "type": "TableCell", "content": [ "Cat# F0507" ] }, { "type": "TableCell", "content": [] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Chemical compound, drug" ] }, { "type": "TableCell", "content": [ "Trypton" ] }, { "type": "TableCell", "content": [ "Sigmaaldrich, Merck, Darmstadt, Germany" ] }, { "type": "TableCell", "content": [ "Cat# T7293-250G" ] }, { "type": "TableCell", "content": [] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Chemical compound, drug" ] }, { "type": "TableCell", "content": [ "Yeast extract" ] }, { "type": "TableCell", "content": [ "Millipore, Merck, Darmstadt, Germany" ] }, { "type": "TableCell", "content": [ "Cat# Y1625-250G" ] }, { "type": "TableCell", "content": [] } ] }, { "type": "TableRow", "cells": [ { "type": "TableCell", "content": [ "Software, algorithm" ] }, { "type": "TableCell", "content": [ "R version 3. 6.1" ] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [] }, { "type": "TableCell", "content": [ { "type": "Cite", "target": "bib118" } ] } ] } ] }, { "type": "Heading", "depth": 2, "content": [ "Ant species and maintenance" ] }, { "type": "Paragraph", "content": [ "Colonies of the carpenter ant ", { "type": "Emphasis", "content": [ "Camponotus floridanus" ] }, " were collected in 2001 and 2003 in Florida, USA, housed in Fluon (Whitford GmbH, Diez, Germany) coated plastic containers with plaster ground and maintained at a constant temperature of 25°C with 70% humidity and a 12 hr/12 hr light/dark cycle. They were given water ad libitum and were fed two times per week with honey water (1:1 tap water and commercial quality honey), cockroaches (", { "type": "Emphasis", "content": [ "Blaptica dubia" ] }, ") and an artificial diet (", { "type": "Cite", "target": "bib8" }, "). For comparison, workers of one other ", { "type": "Emphasis", "content": [ "Camponotus" ] }, " species (", { "type": "Emphasis", "content": [ "Camponotus maculatus" ] }, "), collected close to Kibale Forest, Uganda, in 2003 and housed under identical conditions as ", { "type": "Emphasis", "content": [ "Camponotus floridanus" ] }, " were used. Additionally, six other formicine ant species, one ", { "type": "Emphasis", "content": [ "Lasius," ] }, " and five ", { "type": "Emphasis", "content": [ "Formica" ] }, " species (", { "type": "Emphasis", "content": [ "Lasius fuliginosus, Formica cinerea, Formica cunicularia, Formica fuscocinerea, Formica pratensis," ] }, " and ", { "type": "Emphasis", "content": [ "Formica rufibarbis" ] }, ") were collected in Bayreuth, Germany in 2012 and 2018 and kept for approximately 2 weeks prior experimental use at 20°C, 70% humidity and a 14 hr/10 hr light/dark cycle. Except otherwise noted only the small worker caste (‘minors’) of ", { "type": "Emphasis", "content": [ "Camponotus" ] }, " species was used." ] }, { "type": "Heading", "depth": 2, "content": [ "Acidity of the crop lumen and pH measurements" ] }, { "type": "Paragraph", "content": [ "To determine whether formicine ants swallow their poison after feeding, we tracked changes in pH-levels of the crop lumen in ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants over time. Before use in experimental settings, cohorts of ~100 ants were taken out of their natal colony (n = 6 colonies) into small plastic containers lined with Fluon and starved for 24–48 hr. Thereafter, ants were put singly into small petri dishes (Ø 55 mm) with damp filter paper covered bottom, given access to a droplet of 10% honey water (w/v) for 2 hr before removing the food source and measuring the pH of the crop lumen after another 2 hr (group 0+4 hr: n = 60 workers), after 24 hr (group 0+24 hr: n = 59 workers) or 48 hr (group 0+48 hr: n = 52 workers). To assess the effect of renewed feeding, a separate group of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants were given access to 10% honey water 48 hr after the first feeding for 2 hr prior to measuring the pH of their crop lumen after another 2 hr (group 48h+4 hr: n = 60 workers). To measure the pH, ants were first cold anesthetized on ice, then their gaster was cut off with a fine dissection scissor directly behind the petiole and leaking crop content (1–3 µL) collected with a capillary (5 µL Disposable Micro Pipettes, Blaubrand intraMARK, Brand, Wertheim). The collected crop content was then emptied on a pH sensitive paper to assess the pH (Hartenstein, Unitest pH 1–11). This method of collecting crop content will invariably result in some mixing of crop lumen content with haemolymph. As the pH of the insect haemolymph ranges from only slightly acidic (pH ≥6.5) to near-neutral or slightly alkaline (pH ≤8.2) (", { "type": "Cite", "target": "bib57" }, "; ", { "type": "Cite", "target": "bib93" }, "), this might have biased the results of our pH measurements to slightly higher pH values. As a reference point for food pH, we also measured the pH of 10% honey water on pH sensitive paper, which gave invariably pH = 5." ] }, { "type": "Paragraph", "content": [ "In addition, we measured the pH in the crop lumen and at four points in the lumen along the midgut (1st measurement directly behind proventriculus to 4th measurement one mm apical from insertion point of the Malpighian tubules) of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " workers that were fed 24 hr prior to measurements with 10% honey-water. For these measurements worker guts were dissected as a whole and pH was measured in the crop (n = 2 workers from two colonies) and along the midgut (all midgut points n = 10, except point four with n = 9 workers from four different colonies) with a needle-shaped microelectrode (UNISENSE pH-meter; microelectrode with needle tip of 20 µm diameter)." ] }, { "type": "Paragraph", "content": [ "In formicine ants, oral uptake of the poison into the mouth is performed via acidopore grooming (", { "type": "Cite", "target": "bib140" }, "). During this behavior ants bend their gaster forward between the legs and the head down to meet the acidopore, the opening of the poison gland, at the gaster tip (", { "type": "Cite", "target": "bib5" }, "; ", { "type": "Cite", "target": "bib43" }, "). In an additional experiment we therefore compared the crop lumen pH of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " workers from four different colonies that were either prevented to reach their acidopore (FA- ants) or could reach their acidopore freely (FA+ ants). To do this, we again allowed single ants access to 10% honey water for 2 hr after a starvation period, before cold anesthetizing them briefly on ice and immobilizing FA- ants (n = 22 workers) in a pipetting tip, while FA+ ants (n = 23 workers) remained un-manipulated. After 24 hr we measured the pH of the crop lumen as before." ] }, { "type": "Paragraph", "content": [ "To investigate whether swallowing of the acidic poison is widespread among formicine ants, the latter experiment was repeated for six additional formicine ant species (FA- ants: n = 10 workers except for ", { "type": "Emphasis", "content": [ "Formica pratensis" ] }, " with n = 21; FA+ ants: n = 10 workers except for ", { "type": "Emphasis", "content": [ "Formica pratensis" ] }, " with n = 20; all ants: n = 1 colony) in the same fashion as described before with the exception that apart from ", { "type": "Emphasis", "content": [ "Formica pratensis" ] }, " the crop lumen was collected through the mouth by gently pressing the ants’ gaster. Crop lumen of ", { "type": "Emphasis", "content": [ "Formica pratensis" ] }, " ants was collected in the same fashion as crop lumen of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants." ] }, { "type": "Paragraph", "content": [ "To investigate whether the type of fluid and its nutritional value have an influence on the frequency of acidopore grooming in ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, ", the following experiment was performed. Cohorts of ~100 ants were taken out of their natal colony (n = 6 colonies) into small plastic containers and starved for 24–48 hr. Thereafter, ants were again put singly into small petri dishes (Ø 55 mm) and given access to either a 3 µL droplet of 10% honey water (w/v, n = 126 ants, treatment: honey-water fed), a 3 µL droplet of tap water (n = 128, water-fed) or to no fluid (n = 125, unfed). After acclimatization (unfed ants) or after swallowing of the fluid (honey-water and water-fed ants, both 1–2 min.), all ants were filmed for the next 30 min. (Logitech webcam c910). These videos were then analyzed for the frequency of acidopore grooming." ] }, { "type": "Paragraph", "content": [ "Finally, we measured the pH in the crop lumen of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants (n = 3 colonies) under satiated and starved conditions to estimate a baseline level of acidity in the crop. For this, ants taken out of satiated, twice per week fed colonies on the day of feeding were compared to ants that were maintained in cohorts of ~100 individuals for 3 d with access to 10% honey-water and then starved for 24 hr before measuring the pH in their crop (n = 10 major and 10 minor workers per colony and condition). The pH in the crop lumen was measured as described before by briefly cold anesthetizing ants an ice, collecting the crop content through the mouth by gently pressing the ants’ gaster and then emptying it on a pH sensitive paper (Hartenstein, Unitest pH 1–11)." ] }, { "type": "Heading", "depth": 2, "content": [ "Bacterial strains and culture" ] }, { "type": "Paragraph", "content": [ "As model entomopathogenic bacterium ", { "type": "Emphasis", "content": [ "Serratia marcescens" ] }, " DSM12481 (DSMZ Braunschweig, Germany) was used. This bacterium is pathogenic in a range of insects (", { "type": "Cite", "target": "bib54" }, ") and has been detected in formicine ants, that is ", { "type": "Emphasis", "content": [ "Anoplolepis gracilipes" ] }, " (", { "type": "Cite", "target": "bib33" }, ") and ", { "type": "Emphasis", "content": [ "Camponotus floridanus" ] }, " (", { "type": "Cite", "target": "bib121" }, "). While often non-lethal within the digestive tract, ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " can cross the insect gut wall (", { "type": "Cite", "target": "bib97" }, "; ", { "type": "Cite", "target": "bib104" }, ") and is highly virulent upon entry into the hemocoel (", { "type": "Cite", "target": "bib47" }, "), not least due to the production of bacterial toxins (", { "type": "Cite", "target": "bib61" }, "). As a model bacterial gut-associate of ants ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. strain SF2.1 (", { "type": "Cite", "target": "bib44" }, "), was used. ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. belongs to the family Acetobacteraceae, members of which often thrive in sugar-rich environments (", { "type": "Cite", "target": "bib90" }, "), such as honeydew that ants like ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " predominantly feed on. ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. is capable of cross-colonizing insects of phylogenetically distant genera and orders (", { "type": "Cite", "target": "bib34" }, "; ", { "type": "Cite", "target": "bib44" }, ") and can be a component of the gut-associated microbial community of formicine and other ants (", { "type": "Cite", "target": "bib31" }, "; ", { "type": "Cite", "target": "bib76" }, "; ", { "type": "Cite", "target": "bib77" }, "). In addition to ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " and ", { "type": "Emphasis", "content": [ "Asaia sp." ] }, ", ", { "type": "Emphasis", "content": [ "Escherichia coli" ] }, " DSM6897 (DSMZ Braunschweig, Germany) was used as a model opportunistic bacterium that is not a gut-associate of insects. ", { "type": "Emphasis", "content": [ "E. coli" ] }, " bacteria are a principal constituent of mammalian gut-associated microbial communities but are commonly also found in the environment (", { "type": "Cite", "target": "bib10" }, ")." ] }, { "type": "Paragraph", "content": [ "Bacterial stocks of ", { "type": "Emphasis", "content": [ "S. marcescens, Asaia" ] }, " sp., and ", { "type": "Emphasis", "content": [ "E. coli" ] }, " were kept in 25% glycerol at −80°C until use. For use, bacteria were plated on agar plates (LB-medium: 10 g tryptone, 5 g yeast extract, 20 g agar in 1L MilliQ-water, and GLY-medium: 25 g gycerol, 10 g yeast extract, 20 g agar in 1L MilliQ-water with pH adjusted to 5.0, for ", { "type": "Emphasis", "content": [ "S. marcescens/E. coli" ] }, " and ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. respectively), single colony forming units (CFUs) were picked after 24 hr (", { "type": "Emphasis", "content": [ "S. marcescens/E. coli" ] }, ") or 48 hr (", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp.) of growth at 30°C and transferred to 5 ml liquid medium (LB-medium and GLY-medium minus agar for ", { "type": "Emphasis", "content": [ "S. marcescens/E. coli" ] }, " and ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. respectively) for an overnight culture (24 hr) at 30°C. The overnight culture was then pelleted by centrifugation at 3000 g, the medium discarded and resolved in 10% (w/v) honey water to the respective working concentration for the experiments. The concentration of a typical overnight culture was determined for ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " and ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. by plating part of the overnight culture on agar plates and counting CFUs after 24 hr or 48 hr of growth at 30°C, for ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " and ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. respectively. This yielded a concentration of 1.865 * 10", { "type": "Superscript", "content": [ "9" ] }, " ± 5.63 * 10", { "type": "Superscript", "content": [ "7" ] }, " (mean ± sd) bacteria per mL for ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " and 5.13 * 10", { "type": "Superscript", "content": [ "8" ] }, " ± 8.48 * 10", { "type": "Superscript", "content": [ "6" ] }, " (mean ± sd) bacteria for ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp." ] }, { "type": "Heading", "depth": 2, "content": [ "Survival experiments" ] }, { "type": "Paragraph", "content": [ "In a first survival experiment we tested whether the ability to perform acidopore grooming within the first 24 hr after ingestion of pathogen contaminated food provides a survival benefit for individual ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants. Ants from eight colonies were starved for 24–48 hr before start of the experiment, as described before, and then workers put singly in small petri dishes were either given access to 5 µL of ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " contaminated 10% honey water (9.33 * 10", { "type": "Superscript", "content": [ "9" ] }, " bacteria/mL; ", { "type": "Emphasis", "content": [ "Serratia+" ] }, " ants: n = 127) or uncontaminated 10% honey water (", { "type": "Emphasis", "content": [ "Serratia-" ] }, " ants: n = 135) for 2 min. Afterward, all ants were cold anaesthetized and approximately half of the ", { "type": "Emphasis", "content": [ "Serratia+" ] }, " and the ", { "type": "Emphasis", "content": [ "Serratia-" ] }, " ants (n = 65 and n = 69, respectively) immobilized in a pipetting tip, thus preventing acidopore grooming (FA- ants: n = 134) while the other half remained fully mobile (FA+ ants: n = 128). After 24 hr, FA- ants were freed from the pipetting tip to minimize stress. Mortality of the ants was monitored over 5 d (120 hr) every 12 hr providing no additional food, except the one time feeding of 5 µL contaminated or uncontaminated honey water at the start of the experiment. We chose to provide no additional food after the one time feeding at the beginning of the experiment, as an altered feeding behavior, that is, illness induced anorexia with known positive or negative effects on survival (", { "type": "Cite", "target": "bib65" }, "), might otherwise have influenced our results." ] }, { "type": "Paragraph", "content": [ "In an additional survival experiment, we investigated whether the ability to acidify the crop lumen has the potential to limit oral disease transmission during trophallactic food transfer. To this end, ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants from seven colonies were again starved, divided randomly in two groups (donor and receiver ants, each n = 322) and their gaster marked with one of two colors (Edding 751). Additionally, to prevent uptake of the poison, the acidopore opening of all receiver ants (receiver FA-) and half of the donor ants (donor FA-) was sealed with superglue, while the other half of the donor ants were sham treated (donor FA+) with a droplet of superglue on their gaster (", { "type": "Cite", "target": "bib140" }, "). We then paired these ants into two different donor-receiver ant pairs. Pairs with both donor and receiver ants having their acidopore sealed (donor FA- | receiver FA-) and pairs with only receiver ants having their acidopore sealed (donor FA+ | receiver FA-). Six hours after pairing, donor ants from both pairs were isolated and given access to 5 µl of ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " contaminated 10% honey water (1.865 * 10", { "type": "Superscript", "content": [ "9" ] }, " bacteria/mL) for 12 hr. Thereafter donor ants were again paired with the respective receiver ants for 12 hr and all pairs filmed for the first 30 min (Logitech webcam c910). These videos were then analyzed for the duration of trophallaxis events donor-receiver ant pairs engaged in during the first bout of trophallactic food exchange. After this first feeding round, donor ants were fed in the same fashion, that is, isolation for 12 hr with access to ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " contaminated 10% honey water, every 48 hr, while they were maintained with the respective receiver ants for the rest of the time. This experimental design ensured that receiver ants were fed only through the respective donor ants with pathogen contaminated food. Survival of both, donor and receiver ants, was monitored daily for a total of 12 d." ] }, { "type": "Heading", "depth": 2, "content": [ "Bacterial viability and growth assays" ] }, { "type": "Paragraph", "content": [ "We tested the ability of ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " and ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. to withstand acidic environments in vitro, as well as their ability and the ability of ", { "type": "Emphasis", "content": [ "E. coli" ] }, " to pass from the crop to the midgut in vivo when ingested together with food. In ants, gut morphological structures, that is, the infrabuccal pocket, an invagination of the hypopharynx in the oral cavity (", { "type": "Cite", "target": "bib40" }, "), and the proventriculus, a valve that mechanically restricts passage of fluids from the crop to the midgut (", { "type": "Cite", "target": "bib41" }, "), consecutively filter solid particles down to 2 µm (", { "type": "Cite", "target": "bib85" }, ") which would allow ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " (Ø: 0.5–0.8 µm, length: 0.9–2 µm, ", { "type": "Cite", "target": "bib54" }, "), ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. (Ø: 0.4–1 µm, length: 0.8–2.5 µm, ", { "type": "Cite", "target": "bib82" }, "), and ", { "type": "Emphasis", "content": [ "E. coli" ] }, " (length: 1 µm, width: 0.35 µm, ", { "type": "Cite", "target": "bib10" }, ") to pass. For the in vitro tests we incubated a diluted bacterial overnight culture (10", { "type": "Superscript", "content": [ "5" ] }, " and 10", { "type": "Superscript", "content": [ "4" ] }, " CFU/ml for ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " and ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp., respectively) in 10% honey water (pH = 5) and in 10% honey water acidified with commercial formic acid to a pH of 4, 3, or 2 for 2 hr at room temperature (", { "type": "Emphasis", "content": [ "S. marcescens" ] }, ": n = 15 for all pH-levels, except pH = 4 with n = 13; ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp.: n = 10). Then we plated 100 µl of the bacterial solutions on agar-medium (LB-medium and GLY-medium for ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " and ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp., respectively) and incubated them at 30°C for 24 hr (", { "type": "Emphasis", "content": [ "S. marcescens" ] }, ") or 48 hr (", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp.) before counting the number of formed CFUs. For the in vivo tests ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " ants from five (", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp.), four (", { "type": "Emphasis", "content": [ "E. coli" ] }, ") or from six colonies (", { "type": "Emphasis", "content": [ "S. marcescens" ] }, ") were starved as before and then individually given access to 5 µL of bacteria contaminated 10% honey water (", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. and ", { "type": "Emphasis", "content": [ "E. coli" ] }, ": 1 * 10", { "type": "Superscript", "content": [ "7" ] }, " CFU/mL, ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, ": 1 * 10", { "type": "Superscript", "content": [ "6" ] }, " CFU/mL) for 2 min. To assess the number of CFUs in the digestive tract, that is the crop and the midgut, ants were dissected either directly after feeding (0 hr; ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, ": n = 60 workers; ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. and ", { "type": "Emphasis", "content": [ "E. coli" ] }, ": n = 15 each), or at 0.5 hr (", { "type": "Emphasis", "content": [ "S. marcescens" ] }, ": n = 60; ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. and ", { "type": "Emphasis", "content": [ "E. coli" ] }, ": n = 15 each), 4 hr (", { "type": "Emphasis", "content": [ "S. marcescens" ] }, ": n = 60; ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. and ", { "type": "Emphasis", "content": [ "E. coli" ] }, ": n = 15 each), 24 hr (", { "type": "Emphasis", "content": [ "S. marcescens" ] }, ": n = 53; ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. and ", { "type": "Emphasis", "content": [ "E. coli" ] }, ": n = 15 each) or 48 hr (", { "type": "Emphasis", "content": [ "S. marcescens" ] }, ": n = 19; ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. and ", { "type": "Emphasis", "content": [ "E. coli" ] }, ": n = 15 each) after feeding. For dissection, ants were cold anesthetized, the gaster opened and the whole gut detached. The crop and the midgut were then separated from the digestive tract, placed in a reaction tube, mechanically crushed with a sterile pestle and dissolved in 100 µL (", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. and ", { "type": "Emphasis", "content": [ "E. coli" ] }, ") or 150 µL (", { "type": "Emphasis", "content": [ "S. marcescens" ] }, ") phosphate buffered saline (PBS-buffer: 8.74 g NaCl, 1.78 g Na", { "type": "Subscript", "content": [ "2" ] }, "HPO", { "type": "Subscript", "content": [ "4" ] }, ",2H", { "type": "Subscript", "content": [ "2" ] }, "O in 1L MilliQ-water adjusted to a pH of 6.5). The resulting solutions were then thoroughly mixed, 100 µl streaked on agar-medium (LB-medium and GLY-medium for ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, "/", { "type": "Emphasis", "content": [ "E.coli" ] }, " and ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp., respectively) and incubated at 30°C for 24 hr (", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " and ", { "type": "Emphasis", "content": [ "E. coli" ] }, ") or 48 hr (", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp.), before counting the number of formed CFUs. No other bacteria (e.g. resident microbes) were apparent in terms of a different CFU morphology on the agar plates which agrees with the very low number of cultivable resident bacteria present in the midgut of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " (Stoll and Gross, unpublished results). This methodology cannot completely exclude that resident ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " or species of Acetobacteraceae might have biased our count data by adding a background level of CFUs at all timepoints or by adding random outlier CFUs at specific timepoints. Both, background level CFU numbers and random outlier CFUs should however not influence observed patterns over time. The timepoints of 0 hr, 0.5 hr, 4 hr, 24 hr, and 48 hr in in vivo bacterial growth assays were chosen according to literature describing passage of food from the crop to the midgut within 3–6 hr after food consumption in ants (", { "type": "Cite", "target": "bib25" }, "; ", { "type": "Cite", "target": "bib79" }, "; ", { "type": "Cite", "target": "bib78" }, "; ", { "type": "Cite", "target": "bib67" }, "; ", { "type": "Cite", "target": "bib91" }, "). They should thus be representative of two time points before food passage from the crop to the midgut (0.5 hr and 4 hr) and two time points after food passage from the crop to the midgut (24 hr and 48 hr) together with the reference timepoint (0 hr)." ] }, { "type": "Heading", "depth": 2, "content": [ "Food passage experiment" ] }, { "type": "Paragraph", "content": [ "To estimate food passage from the crop to the midgut and hindgut of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " after feeding we performed the following experiment. We again took a cohort of ~100 workers out of one natal colony of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, ", starved them for 24 hr and then offered them 200 µL of a 1:1 honey-water mix with 50 mg of polymethylmethacrylate (PMMA, aka acrylic glass) particles (size ≤40 µm). Afterward, we dissected the digestive tract of three major and three minor workers at each of the timepoints 2 hr, 4 hr, 6 hr, 8 hr, 12 hr, 14 hr, 16 hr, 18 hr, 24 hr, and 48 hr after feeding and placed each under a microscope (Leica DM 2000 LED) to detect and count the number of particles via fluorescence in the crop, the midgut, and the hindgut." ] }, { "type": "Heading", "depth": 2, "content": [ "Statistical analyses" ] }, { "type": "Paragraph", "content": [ "All statistical analyses were performed with the R statistical programming language (version 3.6.1, ", { "type": "Cite", "target": "bib118" }, "). All (zero-inflated) General(ized) linear and mixed models and Cox mixed-effects models were compared to null (intercept only) or reduced models (for those with multiple predictors) using Likelihood Ratio (LR) tests to assess the significance of predictors. Pairwise comparisons between factor levels of a significant predictor were performed using pairwise post-hoc tests adjusting the family-wise error rate according to the method of Westfall (package ‘multcomp’, ", { "type": "Cite", "target": "bib14" }, "). We checked necessary model assumptions of (zero-inflated) General(ised) linear and mixed models using model diagnostic tests and plots implemented in the package ‘DHARMa’ (", { "type": "Cite", "target": "bib58" }, "). Acidity of the crop lumen (log transformed pH to normalize data) and midgut lumen in ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " was analyzed using linear mixed models (LMM, package”lme4’, ", { "type": "Cite", "target": "bib6" }, ") including time since feeding (four levels: 0+4 hr, 0+24 hr, 0+48 hr, 48h+4 hr; ", { "type": "Link", "target": "#fig1", "content": [ "Figure 1a" ] }, "), ant manipulation (two levels: FA+ and FA-, that is ants with and without acidopore access; ", { "type": "Link", "target": "#fig1", "content": [ "Figure 1b" ] }, ") or digestive tract part (four levels: crop, midgut position 1, midgut position 2, midgut position 3, midgut position 4; ", { "type": "Link", "target": "#fig1s1", "content": [ "Figure 1—figure supplement 1" ] }, ") as predictors and natal colony as a random effect. Due to non-normality and heteroscedasticity, the acidity of the crop lumen in the seven formicine ant species other than ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " (", { "type": "Link", "target": "#fig1", "content": [ "Figure 1c" ] }, ") was analysed using per species Wilcoxon rank-sum tests with ant manipulation (FA+ and FA-) as predictor. The frequency of acidopore grooming in ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " upon feeding different types of fluids was analyzed using Generalized linear mixed models (GLMM, package”lme4’, ", { "type": "Cite", "target": "bib6" }, ") with negative binomial errors and type of fluid (three levels: unfed, water-fed, or 10% honey water fed) as predictor and natal colony as random effect (", { "type": "Link", "target": "#fig1s2", "content": [ "Figure 1—figure supplement 2" ] }, ")." ] }, { "type": "Paragraph", "content": [ "Survival data were analysed with Cox mixed effects models (COXME, package ‘coxme’, ", { "type": "Cite", "target": "bib138" }, "). For the survival of individual ants (", { "type": "Link", "target": "#fig3", "content": [ "Figure 3" ] }, "), ant treatment (four levels: ", { "type": "Emphasis", "content": [ "Serratia-" ] }, " | FA-, ", { "type": "Emphasis", "content": [ "Serratia-" ] }, " | FA+, ", { "type": "Emphasis", "content": [ "Serratia" ] }, "+ | FA-, ", { "type": "Emphasis", "content": [ "Serratia+" ] }, " | FA+) was added as a predictor and the three ‘blocks’ in which the experiment was run and the colony ants originated from, were included as two random intercept effects. For the survival of donor-receiver ant pairs (", { "type": "Link", "target": "#fig4", "content": [ "Figure 4" ] }, "), ant treatment (four levels: donor FA+, donor FA-, receiver FA+, receiver FA-) was included as a predictor and the three ‘blocks’ in which the experiment was run, the colony ants originated from, and petri dish in which donor and receiver ants were paired, were included as three random intercept effects. Survival of receiver ants was right censored if the corresponding donor ant died at the next feeding bout (right censoring of both donor and receiver ants in one pair upon death of one of the ants yielded statistically the same result: COXME, overall LR χ", { "type": "Superscript", "content": [ "2" ] }, " = 60.202, df = 3, p<0.001; post-hoc comparisons: receiver FA- versus donor FA-: p=0.388, all other comparisons: p<0.001). The duration of trophallaxis events (square-root transformed to normalize data) between donor-receiver ant pairs was analysed using a linear mixed model with ant pair type (two levels: donor FA+ | receiver FA- and donor FA- | receiver FA-) as predictor and the three ‘blocks’, in which the experiment was run and the colony ants originated from as random effect (", { "type": "Link", "target": "#fig4s1", "content": [ "Figure 4—figure supplement 1" ] }, ")." ] }, { "type": "Paragraph", "content": [ "Bacterial growth in vitro was analysed separately for ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " and ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. using Generalized linear models (GLM) with negative binomial errors and pH as predictor, excluding pH levels with zero bacterial growth due to complete data separation (", { "type": "Link", "target": "#fig2s2", "content": [ "Figure 2—figure supplement 2" ] }, " and ", { "type": "Link", "target": "#fig5s1", "content": [ "Figure 5—figure supplement 1" ] }, "). Relative values shown in ", { "type": "Link", "target": "#fig2s2", "content": [ "Figure 2—figure supplement 2" ] }, " and ", { "type": "Link", "target": "#fig5s1", "content": [ "Figure 5—figure supplement 1" ] }, " were calculated by dividing each single number of formed CFUs at the different pH-values through the mean of formed CFUs at pH 5. Bacterial viability in vivo within the digestive tract of ", { "type": "Emphasis", "content": [ "C. floridanus" ] }, " over time was analysed separately for the crop and midgut for ", { "type": "Emphasis", "content": [ "S. marcescens" ] }, " and ", { "type": "Emphasis", "content": [ "Asaia" ] }, " sp. (", { "type": "Link", "target": "#fig2", "content": [ "Figure 2" ] }, " and ", { "type": "Link", "target": "#fig5", "content": [ "Figure 5" ] }, ", respectively) and for ", { "type": "Emphasis", "content": [ "E. coli" ] }, " (", { "type": "Link", "target": "#fig2s2", "content": [ "Figure 2—figure supplement 2" ] }, "). Zero-inflated generalized linear mixed models with negative binomial errors (package ‘glmmTMB’, ", { "type": "Cite", "target": "bib17" }, ") were used to model CFU number, with time after feeding as fixed predictor and ant colony as random effect, except for the ", { "type": "Emphasis", "content": [ "E. coli" ] }, " model in the crop where colony was included as fixed factor as the model did not converge with colony as a random factor. Timepoints with zero bacterial growth were again excluded in the models. Relative CFU values shown in ", { "type": "Link", "target": "#fig2", "content": [ "Figure 2" ] }, ", ", { "type": "Link", "target": "#fig5", "content": [ "Figure 5" ] }, ", and ", { "type": "Link", "target": "#fig2s2", "content": [ "Figure 2—figure supplement 2" ] }, " were calculated by dividing single CFU-values through the mean of CFU-values at timepoint 0 hr in the crop. Proportions and percentages of relative CFU change in the text are based on these relative CFU values." ] } ] }