20230612 08241300 1.0 FALSE DeleteField tracts_2020_PL_HU_Pop_Age18_Hisp_Race P0020001;P0020002;P0020003;P0020004;P0020005;P0020006;P0020007;P0020008;P0020009;P0020010;P0020011;P0010001;P0010003;P0010004;P0010005;P0010006;P0010007;P0010008;P0010009 FeatureClassToFeatureClass tracts_2020_PL_HU_Pop_Age18_Hisp_Race "Database Connections\sdedb5 GIS1.default.sde\GIS1.Census" CensusTracts_2020_2 # "STATEFP20 "STATEFP20" true true false 2 Text 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,STATEFP20,-1,-1;COUNTYFP20 "COUNTYFP20" true true false 3 Text 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,COUNTYFP20,-1,-1;TRACTCE20 "TRACTCE20" true true false 6 Text 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,TRACTCE20,-1,-1;GEOID20 "GEOID20" true true false 12 Text 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,GEOID20,-1,-1;NAME20 "NAME20" true true false 7 Text 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,NAME20,-1,-1;NAMELSAD20 "NAMELSAD20" true true false 13 Text 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,NAMELSAD20,-1,-1;MTFCC20 "MTFCC20" true true false 5 Text 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,MTFCC20,-1,-1;FUNCSTAT20 "FUNCSTAT20" true true false 1 Text 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,FUNCSTAT20,-1,-1;ALAND20 "ALAND20" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,ALAND20,-1,-1;AWATER20 "AWATER20" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,AWATER20,-1,-1;INTPTLAT20 "INTPTLAT20" true true false 11 Text 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,INTPTLAT20,-1,-1;INTPTLON20 "INTPTLON20" true true false 12 Text 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,INTPTLON20,-1,-1;ACRES "ACRES" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,ACRES,-1,-1;GEOCODE "GEOCODE" true true false 255 Text 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,GEOCODE,-1,-1;GEOID "GEOID" true true false 255 Text 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,GEOID,-1,-1;SourceID "SourceID" true true false 255 Text 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,SourceID,-1,-1;tractID "tractID" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,tractID,-1,-1;HousingUnit "HousingUnit" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,HousingUnit,-1,-1;Occupied "Occupied" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,Occupied,-1,-1;Vacant "Vacant" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,Vacant,-1,-1;Pop2020 "Pop2020" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,Pop2020,-1,-1;Hhpop "Hhpop" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,Hhpop,-1,-1;GrpQtrPop "GrpQtrPop" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,GrpQtrPop,-1,-1;Age18up "Age18up" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,Age18up,-1,-1;Agelt18 "Agelt18" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,Agelt18,-1,-1;Age18upPer "Age18upPer" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,Age18upPer,-1,-1;Agelt18Per "Agelt18Per" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,Agelt18Per,-1,-1;Hispanic "Hispanic" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,Hispanic,-1,-1;NHWhite "NHWhite" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,NHWhite,-1,-1;NHBlack "NHBlack" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,NHBlack,-1,-1;NHAsianPI "NHAsianPI" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,NHAsianPI,-1,-1;NHOther "NHOther" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,NHOther,-1,-1;HispanicPer "HispanicPer" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,HispanicPer,-1,-1;MHWhitePer "MHWhitePer" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,MHWhitePer,-1,-1;NHBlackPer "NHBlackPer" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,NHBlackPer,-1,-1;NHAsianPIPer "NHAsianPIPer" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,NHAsianPIPer,-1,-1;NHOtherPer "NHOtherPer" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,NHOtherPer,-1,-1;White "White" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,White,-1,-1;Black "Black" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,Black,-1,-1;AsianPacIs "AsianPacIs" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,AsianPacIs,-1,-1;OtherAmIn "OtherAmIn" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,OtherAmIn,-1,-1;Multirace "Multirace" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,Multirace,-1,-1;WhitePer "WhitePer" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,WhitePer,-1,-1;BlackPer "BlackPer" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,BlackPer,-1,-1;AsianPIPer "AsianPIPer" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,AsianPIPer,-1,-1;OtherAmInPer "OtherAmInPer" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,OtherAmInPer,-1,-1;MultiracePer "MultiracePer" true true false 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,MultiracePer,-1,-1;SHAPE_Length "SHAPE_Length" false true true 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,SHAPE_Length,-1,-1;SHAPE_Area "SHAPE_Area" false true true 8 Double 0 0 ,First,#,tracts_2020_PL_HU_Pop_Age18_Hisp_Race,SHAPE_Area,-1,-1" # CalculateField GIS1.CensusTracts_2020 NHWHITEPER [MHWHITEPER] VB # ExportFeatures "Census Tracts\2020 Census Tracts" O:\Research\Equity\Equity_Index\final_materials\GIS\CEI.gdb\diversity_predominance # NOT_USE_ALIAS "STATEFP20 "STATEFP20" true true false 2 Text 0 0,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.STATEFP20,0,2;COUNTYFP20 "COUNTYFP20" true true false 3 Text 0 0,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.COUNTYFP20,0,3;TRACTCE20 "TRACTCE20" true true false 6 Text 0 0,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.TRACTCE20,0,6;GEOID20 "GEOID20" true true false 12 Text 0 0,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.GEOID20,0,12;NAME20 "NAME20" true true false 7 Text 0 0,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.NAME20,0,7;NAMELSAD20 "NAMELSAD20" true true false 13 Text 0 0,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.NAMELSAD20,0,13;MTFCC20 "MTFCC20" true true false 5 Text 0 0,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.MTFCC20,0,5;FUNCSTAT20 "FUNCSTAT20" true true false 1 Text 0 0,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.FUNCSTAT20,0,1;ALAND20 "ALAND20" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.ALAND20,-1,-1;AWATER20 "AWATER20" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.AWATER20,-1,-1;INTPTLAT20 "INTPTLAT20" true true false 11 Text 0 0,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.INTPTLAT20,0,11;INTPTLON20 "INTPTLON20" true true false 12 Text 0 0,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.INTPTLON20,0,12;ACRES "ACRES" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.ACRES,-1,-1;GEOCODE "GEOCODE" true true false 255 Text 0 0,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.GEOCODE,0,255;GEOID "GEOID" true true false 255 Text 0 0,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.GEOID,0,255;SOURCEID "SOURCEID" true true false 255 Text 0 0,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.SOURCEID,0,255;TRACTID "TRACTID" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.TRACTID,-1,-1;HOUSINGUNIT "HOUSINGUNIT" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.HOUSINGUNIT,-1,-1;OCCUPIED "OCCUPIED" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.OCCUPIED,-1,-1;VACANT "VACANT" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.VACANT,-1,-1;POP2020 "POP2020" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.POP2020,-1,-1;HHPOP "HHPOP" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.HHPOP,-1,-1;GRPQTRPOP "GRPQTRPOP" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.GRPQTRPOP,-1,-1;AGE18UP "AGE18UP" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.AGE18UP,-1,-1;AGELT18 "AGELT18" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.AGELT18,-1,-1;AGE18UPPER "AGE18UPPER" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.AGE18UPPER,-1,-1;AGELT18PER "AGELT18PER" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.AGELT18PER,-1,-1;HISPANIC "HISPANIC" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.HISPANIC,-1,-1;NHWHITE "NHWHITE" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.NHWHITE,-1,-1;NHBLACK "NHBLACK" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.NHBLACK,-1,-1;NHASIANPI "NHASIANPI" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.NHASIANPI,-1,-1;NHOTHER "NHOTHER" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.NHOTHER,-1,-1;HISPANICPER "HISPANICPER" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.HISPANICPER,-1,-1;NHBLACKPER "NHBLACKPER" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.NHBLACKPER,-1,-1;NHASIANPIPER "NHASIANPIPER" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.NHASIANPIPER,-1,-1;NHOTHERPER "NHOTHERPER" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.NHOTHERPER,-1,-1;WHITE "WHITE" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.WHITE,-1,-1;BLACK "BLACK" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.BLACK,-1,-1;ASIANPACIS "ASIANPACIS" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.ASIANPACIS,-1,-1;OTHERAMIN "OTHERAMIN" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.OTHERAMIN,-1,-1;MULTIRACE "MULTIRACE" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.MULTIRACE,-1,-1;WHITEPER "WHITEPER" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.WHITEPER,-1,-1;BLACKPER "BLACKPER" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.BLACKPER,-1,-1;ASIANPIPER "ASIANPIPER" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.ASIANPIPER,-1,-1;OTHERAMINPER "OTHERAMINPER" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.OTHERAMINPER,-1,-1;MULTIRACEPER "MULTIRACEPER" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.MULTIRACEPER,-1,-1;NHWHITEPER "NHWHITEPER" true true false 8 Double 8 38,First,#,Census Tracts\2020 Census Tracts,GIS1.CensusTracts_2020.NHWHITEPER,-1,-1;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.OBJECTID,-1,-1;GEOID "GEOID" true true false 8 Double 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.GEOID,-1,-1;total "total" true true false 4 Long 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.total,-1,-1;nhwhite "nhwhite" true true false 4 Long 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.nhwhite,-1,-1;nhblack "nhblack" true true false 4 Long 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.nhblack,-1,-1;nhamind "nhamind" true true false 4 Long 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.nhamind,-1,-1;nhasian "nhasian" true true false 4 Long 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.nhasian,-1,-1;nhhawpac "nhhawpac" true true false 4 Long 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.nhhawpac,-1,-1;nhsomeother "nhsomeother" true true false 4 Long 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.nhsomeother,-1,-1;nh2ormore "nh2ormore" true true false 4 Long 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.nh2ormore,-1,-1;hisp "hisp" true true false 4 Long 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.hisp,-1,-1;p_nhwhite "p_nhwhite" true true false 8 Double 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.p_nhwhite,-1,-1;p_nhblack "p_nhblack" true true false 8 Double 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.p_nhblack,-1,-1;p_nhasian "p_nhasian" true true false 8 Double 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.p_nhasian,-1,-1;p_hisp "p_hisp" true true false 8 Double 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.p_hisp,-1,-1;p_nhother "p_nhother" true true false 8 Double 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.p_nhother,-1,-1;Diversity_score "Diversity_score" true true false 8 Double 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.Diversity_score,-1,-1;Diversity_scaled "Diversity_scaled" true true false 8 Double 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.Diversity_scaled,-1,-1;Diversity_rank "Diversity_rank" true true false 8 Double 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.Diversity_rank,-1,-1;Diversity_cat "Diversity_cat" true true false 255 Text 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.Diversity_cat,0,255;Predominance "Predominance" true true false 255 Text 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.Predominance,0,255;geoid_ch "geoid_ch" true true false 255 Text 0 0,First,#,Census Tracts\2020 Census Tracts,diversity_predominance.geoid_ch,0,255" # CopyMultiple "O:\Research\Equity\Equity_Index\final_materials\GIS\CEI.gdb\diversity_predominance FeatureClass" M:\SVC_PUB\Data\Diversity_Segregation_Index.gdb diversity_predominance "diversity_predominance FeatureClass diversity_predominance #" ExportFeatures diversity_predominance Y:\SVC_PUB\Data\Diversity_Segregation_Index.gdb\Diversity_Segregation_Index # NOT_USE_ALIAS "STATEFP20 "STATEFP20" true true false 2 Text 0 0,First,#,diversity_predominance,STATEFP20,0,1;COUNTYFP20 "COUNTYFP20" true true false 3 Text 0 0,First,#,diversity_predominance,COUNTYFP20,0,2;TRACTCE20 "TRACTCE20" true true false 6 Text 0 0,First,#,diversity_predominance,TRACTCE20,0,5;GEOID20 "GEOID20" true true false 12 Text 0 0,First,#,diversity_predominance,GEOID20,0,11;NAME20 "NAME20" true true false 7 Text 0 0,First,#,diversity_predominance,NAME20,0,6;NAMELSAD20 "NAMELSAD20" true true false 13 Text 0 0,First,#,diversity_predominance,NAMELSAD20,0,12;MTFCC20 "MTFCC20" true true false 5 Text 0 0,First,#,diversity_predominance,MTFCC20,0,4;FUNCSTAT20 "FUNCSTAT20" true true false 1 Text 0 0,First,#,diversity_predominance,FUNCSTAT20,0,0;ALAND20 "ALAND20" true true false 8 Double 0 0,First,#,diversity_predominance,ALAND20,-1,-1;AWATER20 "AWATER20" true true false 8 Double 0 0,First,#,diversity_predominance,AWATER20,-1,-1;INTPTLAT20 "INTPTLAT20" true true false 11 Text 0 0,First,#,diversity_predominance,INTPTLAT20,0,10;INTPTLON20 "INTPTLON20" true true false 12 Text 0 0,First,#,diversity_predominance,INTPTLON20,0,11;ACRES "ACRES" true true false 8 Double 0 0,First,#,diversity_predominance,ACRES,-1,-1;GEOCODE "GEOCODE" true true false 255 Text 0 0,First,#,diversity_predominance,GEOCODE,0,254;GEOID "GEOID" true true false 255 Text 0 0,First,#,diversity_predominance,GEOID,0,254;SOURCEID "SOURCEID" true true false 255 Text 0 0,First,#,diversity_predominance,SOURCEID,0,254;TRACTID "TRACTID" true true false 8 Double 0 0,First,#,diversity_predominance,TRACTID,-1,-1;HOUSINGUNIT "HOUSINGUNIT" true true false 8 Double 0 0,First,#,diversity_predominance,HOUSINGUNIT,-1,-1;OCCUPIED "OCCUPIED" true true false 8 Double 0 0,First,#,diversity_predominance,OCCUPIED,-1,-1;VACANT "VACANT" true true false 8 Double 0 0,First,#,diversity_predominance,VACANT,-1,-1;POP2020 "POP2020" true true false 8 Double 0 0,First,#,diversity_predominance,POP2020,-1,-1;HHPOP "HHPOP" true true false 8 Double 0 0,First,#,diversity_predominance,HHPOP,-1,-1;GRPQTRPOP "GRPQTRPOP" true true false 8 Double 0 0,First,#,diversity_predominance,GRPQTRPOP,-1,-1;AGE18UP "AGE18UP" true true false 8 Double 0 0,First,#,diversity_predominance,AGE18UP,-1,-1;AGELT18 "AGELT18" true true false 8 Double 0 0,First,#,diversity_predominance,AGELT18,-1,-1;AGE18UPPER "AGE18UPPER" true true false 8 Double 0 0,First,#,diversity_predominance,AGE18UPPER,-1,-1;AGELT18PER "AGELT18PER" true true false 8 Double 0 0,First,#,diversity_predominance,AGELT18PER,-1,-1;HISPANIC "HISPANIC" true true false 8 Double 0 0,First,#,diversity_predominance,HISPANIC,-1,-1;NHWHITE "NHWHITE" true true false 8 Double 0 0,First,#,diversity_predominance,NHWHITE,-1,-1;NHBLACK "NHBLACK" true true false 8 Double 0 0,First,#,diversity_predominance,NHBLACK,-1,-1;NHASIANPI "NHASIANPI" true true false 8 Double 0 0,First,#,diversity_predominance,NHASIANPI,-1,-1;NHOTHER "NHOTHER" true true false 8 Double 0 0,First,#,diversity_predominance,NHOTHER,-1,-1;HISPANICPER "HISPANICPER" true true false 8 Double 0 0,First,#,diversity_predominance,HISPANICPER,-1,-1;NHBLACKPER "NHBLACKPER" true true false 8 Double 0 0,First,#,diversity_predominance,NHBLACKPER,-1,-1;NHASIANPIPER "NHASIANPIPER" true true false 8 Double 0 0,First,#,diversity_predominance,NHASIANPIPER,-1,-1;NHOTHERPER "NHOTHERPER" true true false 8 Double 0 0,First,#,diversity_predominance,NHOTHERPER,-1,-1;WHITE "WHITE" true true false 8 Double 0 0,First,#,diversity_predominance,WHITE,-1,-1;BLACK "BLACK" true true false 8 Double 0 0,First,#,diversity_predominance,BLACK,-1,-1;ASIANPACIS "ASIANPACIS" true true false 8 Double 0 0,First,#,diversity_predominance,ASIANPACIS,-1,-1;OTHERAMIN "OTHERAMIN" true true false 8 Double 0 0,First,#,diversity_predominance,OTHERAMIN,-1,-1;MULTIRACE "MULTIRACE" true true false 8 Double 0 0,First,#,diversity_predominance,MULTIRACE,-1,-1;WHITEPER "WHITEPER" true true false 8 Double 0 0,First,#,diversity_predominance,WHITEPER,-1,-1;BLACKPER "BLACKPER" true true false 8 Double 0 0,First,#,diversity_predominance,BLACKPER,-1,-1;ASIANPIPER "ASIANPIPER" true true false 8 Double 0 0,First,#,diversity_predominance,ASIANPIPER,-1,-1;OTHERAMINPER "OTHERAMINPER" true true false 8 Double 0 0,First,#,diversity_predominance,OTHERAMINPER,-1,-1;MULTIRACEPER "MULTIRACEPER" true true false 8 Double 0 0,First,#,diversity_predominance,MULTIRACEPER,-1,-1;NHWHITEPER "NHWHITEPER" true true false 8 Double 0 0,First,#,diversity_predominance,NHWHITEPER,-1,-1;OBJECTID "OBJECTID" true true false 4 Long 0 0,First,#,diversity_predominance,OBJECTID,-1,-1;GEOID_1 "GEOID" true true false 8 Double 0 0,First,#,diversity_predominance,GEOID_1,-1,-1;total "total" true true false 4 Long 0 0,First,#,diversity_predominance,total,-1,-1;nhwhite_1 "nhwhite" true true false 4 Long 0 0,First,#,diversity_predominance,nhwhite_1,-1,-1;nhblack_1 "nhblack" true true false 4 Long 0 0,First,#,diversity_predominance,nhblack_1,-1,-1;nhamind "nhamind" true true false 4 Long 0 0,First,#,diversity_predominance,nhamind,-1,-1;nhasian "nhasian" true true false 4 Long 0 0,First,#,diversity_predominance,nhasian,-1,-1;nhhawpac "nhhawpac" true true false 4 Long 0 0,First,#,diversity_predominance,nhhawpac,-1,-1;nhsomeother "nhsomeother" true true false 4 Long 0 0,First,#,diversity_predominance,nhsomeother,-1,-1;nh2ormore "nh2ormore" true true false 4 Long 0 0,First,#,diversity_predominance,nh2ormore,-1,-1;hisp "hisp" true true false 4 Long 0 0,First,#,diversity_predominance,hisp,-1,-1;p_nhwhite "p_nhwhite" true true false 8 Double 0 0,First,#,diversity_predominance,p_nhwhite,-1,-1;p_nhblack "p_nhblack" true true false 8 Double 0 0,First,#,diversity_predominance,p_nhblack,-1,-1;p_nhasian "p_nhasian" true true false 8 Double 0 0,First,#,diversity_predominance,p_nhasian,-1,-1;p_hisp "p_hisp" true true false 8 Double 0 0,First,#,diversity_predominance,p_hisp,-1,-1;p_nhother "p_nhother" true true false 8 Double 0 0,First,#,diversity_predominance,p_nhother,-1,-1;Diversity_score "Diversity_score" true true false 8 Double 0 0,First,#,diversity_predominance,Diversity_score,-1,-1;Diversity_scaled "Diversity_scaled" true true false 8 Double 0 0,First,#,diversity_predominance,Diversity_scaled,-1,-1;Diversity_rank "Diversity_rank" true true false 8 Double 0 0,First,#,diversity_predominance,Diversity_rank,-1,-1;Diversity_cat "Diversity_cat" true true false 255 Text 0 0,First,#,diversity_predominance,Diversity_cat,0,254;Predominance "Predominance" true true false 255 Text 0 0,First,#,diversity_predominance,Predominance,0,254;geoid_ch "geoid_ch" true true false 255 Text 0 0,First,#,diversity_predominance,geoid_ch,0,254;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,diversity_predominance,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,diversity_predominance,Shape_Area,-1,-1" # Diversity_Segregation_Index 002 file://\\mc-webap9\c$\SVC_PUB\Data\Diversity_Segregation_Index.gdb Local Area Network Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_Maryland_FIPS_1900_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Maryland_FIPS_1900_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,1312333.333333333],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-77.0],PARAMETER[&quot;Standard_Parallel_1&quot;,38.3],PARAMETER[&quot;Standard_Parallel_2&quot;,39.45],PARAMETER[&quot;Latitude_Of_Origin&quot;,37.66666666666666],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2248]]</WKT><XOrigin>-120561099.999716</XOrigin><YOrigin>-95444399.998166203</YOrigin><XYScale>1867.3770826087002</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0042840838492159998</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102685</WKID><LatestWKID>2248</LatestWKID></ProjectedCoordinateSystem> 20241218 09552200 20241218 09552200 Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.2.2.49743 Diversity_Segregation_Index File Geodatabase Feature Class dataset EPSG 5.3(9.0.0) 0 Simple FALSE 0 TRUE FALSE Diversity_Segregation_Index Feature Class 0 OBJECTID_1 OBJECTID_1 OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OBJECTID Integer 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. STATEFP20 STATEFP20 String 2 0 0 COUNTYFP20 COUNTYFP20 String 3 0 0 TRACTCE20 TRACTCE20 String 6 0 0 GEOID20 GEOID20 String 12 0 0 NAME20 NAME20 String 7 0 0 NAMELSAD20 NAMELSAD20 String 13 0 0 MTFCC20 MTFCC20 String 5 0 0 FUNCSTAT20 FUNCSTAT20 String 1 0 0 ALAND20 ALAND20 Double 8 0 0 AWATER20 AWATER20 Double 8 0 0 INTPTLAT20 INTPTLAT20 String 11 0 0 INTPTLON20 INTPTLON20 String 12 0 0 ACRES ACRES Double 8 0 0 GEOCODE GEOCODE String 255 0 0 GEOID GEOID String 255 0 0 SOURCEID SOURCEID String 255 0 0 TRACTID TRACTID Double 8 0 0 HOUSINGUNIT HOUSINGUNIT Double 8 0 0 OCCUPIED OCCUPIED Double 8 0 0 VACANT VACANT Double 8 0 0 POP2020 POP2020 Double 8 0 0 HHPOP HHPOP Double 8 0 0 GRPQTRPOP GRPQTRPOP Double 8 0 0 AGE18UP AGE18UP Double 8 0 0 AGELT18 AGELT18 Double 8 0 0 AGE18UPPER AGE18UPPER Double 8 0 0 AGELT18PER AGELT18PER Double 8 0 0 HISPANIC HISPANIC Double 8 0 0 NHWHITE NHWHITE Double 8 0 0 NHBLACK NHBLACK Double 8 0 0 NHASIANPI NHASIANPI Double 8 0 0 NHOTHER NHOTHER Double 8 0 0 HISPANICPER HISPANICPER Double 8 0 0 NHBLACKPER NHBLACKPER Double 8 0 0 NHASIANPIPER NHASIANPIPER Double 8 0 0 NHOTHERPER NHOTHERPER Double 8 0 0 WHITE WHITE Double 8 0 0 BLACK BLACK Double 8 0 0 ASIANPACIS ASIANPACIS Double 8 0 0 OTHERAMIN OTHERAMIN Double 8 0 0 MULTIRACE MULTIRACE Double 8 0 0 WHITEPER WHITEPER Double 8 0 0 BLACKPER BLACKPER Double 8 0 0 ASIANPIPER ASIANPIPER Double 8 0 0 OTHERAMINPER OTHERAMINPER Double 8 0 0 MULTIRACEPER MULTIRACEPER Double 8 0 0 NHWHITEPER NHWHITEPER Double 8 0 0 SHAPE Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. GEOID_1 GEOID Double 8 0 0 total total Integer 4 0 0 nhwhite_1 nhwhite Integer 4 0 0 nhblack_1 nhblack Integer 4 0 0 nhamind nhamind Integer 4 0 0 nhasian nhasian Integer 4 0 0 nhhawpac nhhawpac Integer 4 0 0 nhsomeother nhsomeother Integer 4 0 0 nh2ormore nh2ormore Integer 4 0 0 hisp hisp Integer 4 0 0 p_nhwhite p_nhwhite Double 8 0 0 p_nhblack p_nhblack Double 8 0 0 p_nhasian p_nhasian Double 8 0 0 p_hisp p_hisp Double 8 0 0 p_nhother p_nhother Double 8 0 0 Diversity_score Diversity_score Double 8 0 0 Diversity_scaled Diversity_scaled Double 8 0 0 Diversity_rank Diversity_rank Double 8 0 0 Diversity_cat Diversity_cat String 255 0 0 Predominance Predominance String 255 0 0 geoid_ch geoid_ch String 255 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20241218 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJztvYly41iyLBhYCJKSMrO6+777ZsZs/v+/xsZs3uuuLSVxwT7m HhEgSHEBKJCEkgy7easrSyKxnBMnFg/3uK7rWh72sCOGBYJlkpelvKVr+Zln8h6KBPOZBGF4sWcX 5IVM16n838/fZRrHEgTB4z3ducW3voCHjd+KspDFOpU/ikzSOJLqaSphEIqEl3UgdRhIHkeyLnKJ w1DiKLro9z1s/PZwWA87aFmeywLRVFXKOhDJklgqOI3oclHVloWhVJOJ/JnnEhahvASBhBeM6B42 fns4rId9sLKqZAVnVeayqEpZIcqKIwnhrK6ZlgWB1FEoi6KWp7KQaRjJ9OGw7toeDuthjVV1LQWi qaKQP9crWUShlJNYAjirGz6nKo5llVcyLwtJHrWsu7aHw3pYY1meyV9pKn9VhZTzKVOymxe6kQbG sSyLVJKykKeylEn8WLb3ao83f+eG7l9RlvJzvZJ3qWUdBVIm6qyumv6dsGoSy6Io5c90Jf8VPLGW dXNn+rCr28Nh3bGjyspCVkUhy7KUpVSSIgWMIgmuVVTvY2EoWSTyWpQSp6l8SxKZ4FofTuuu7OGw 7tBRoVaVAqqQ5/Ja5LIIapFpQkzVaB2AFeBTEfljnUoUBuwaPqAO92UPh3VnBme1zlL536uVLOJQ qtlEu39fwYJAqiiUZRLR0U6CBzbr3uzhsO7EqqqSRZrKzzyV90CknCfEU4VjjagOGCLAcDJhER5d w3k1eWCz7sgeDusOHNUK4E/UqqSSdRxKjtQvvjKmamCnlQcieV0TM/YAk96PPRzWL2rYyJj9W5eF vBe5vNUVx1wC4Kq+qKPaHdspzWFNbn0xD7uaPRzWr1hUBzwhz+Vnupa/q0LyWSJBPP0lHJVbHYR0 WAC6Pux+7OGwfjWoAlDqqwXrVNkkkjqea53qF3JWtCiUvColLUt5ufW1POxq9nBYv4ijSjH7h9Sv KlinKsKQMAACQH9BAwQjD0piyH6UhUThA5N1D/ZwWL8ASn0FTBX+VKUsEUihTvWLOio3pLclIA51 KX+t1zKLIpnGE+Kyvlrn82Hd7eGwvnhRHfQvf+WZrICpSuKvg6kawqJIslrk3+u1POehfJuU8pxM ZTZ5lOF/VXs4rC/qrN7TtfyVpfIWBSIcVA7uL7LA/U5iqeJneatF1mkmWbqS/xnH9/cs7sQeDuuL mFMUv6/X8l6Xsg4DKaYTtvcDMH+ObINWZSVFmko4iSXCzN8lU1Q2FUQK4LNqdegBvvNy3/iwG9nD YX0BS4ucQ8ok0wsqSYFUj0PdlCNzVLC6qqQqCimyTMKqJEspKGLiC6dqVRRIXqIBkYnUcJSPSOtX s4fDGnFEhUghq0p5zzN5LYFUFxFgqoBUl/FaVZZSFLkOLKMxUBQSVhVuiv8ddbaLDFqD0aEqKZIx rSp5mtQyjWKJfvEGxD3Zw2GN1ND9w+zfv9OVrJNY6unXGVIui4J/pk9PEsWxlHkuWZrK4udPKYtS 5t9eZDqfM0Ic0uAEs7CS/5VlElSF/FdZyL+SmTxPp4N+z8NuZw+HNdKC+k/QvmD85HnOGtUYU79D 0VVV1RKGEZ0VrjuaTAg7SKZTSZdLCYKQkddRq2vKi8E637uxk06eEFEFsshySYqcEmEPGppfwx4O a0SOao0hZeCp6qoBf3JI+QtZkeV0NnBS7mjwT623hRJGsaazRxwWnF6epozS4PjiacLostOQs30X ryWO5LWspF4v5TmKZD6ZUi7sqzj/h320h8MaAT9VbsyfbzakXE4ikS8otsC6W1EwNYsne5YWm5mB IHYCiwTqWvid2v9pTgz/7mllJSV/jw4r2kRtnSyO2KDI80LSvJLvtchTPJGkq/N72Ojs4bBuaGT+ LDCknMrfZS4p6lTxdHQQhc5D10UhdV1xTOZQvQ3pLdNGFOYtmmqcE+AItTCtm85nrHPlWSZ1VUue rSVEtDmbdXda+JlYtRR/lpWs12v5URTy23RGcOlXOxAe9nBYNzMKP6xW8lddkEu9SmYSjhBP1Wvw GrgrgzDsM9xZPEkkK1aSpxnvF9EY0sdkprL3TRppEdDUHB+irgLF+/VaJtOpxHBaXaMk1LaiUIqn ufzFBsBK/o8geEiGfUF7RFg3cFTvWSp/r9fymqdSz2bK/DlG4YeuZmldmReSzGcEih52HBF/htEU 6k34Y45qrwNqObDYWCeA70JkhkgLhi5kVZSM7vD5cGj8b23nj1SU+LVYllLI7+ul/HM25/zhAxX/ dezhsK5k2KDrIie7AGpVr0FFSa2wriTIcgnyXH8QXTWr13yVAebK0kHSF5+4bqSEUTiRc1oJ+Gw6 LXxfVWuBH/8KjJfV8QGbkCDX4v6+YBXKQBLLa5WJZJm8VJXM41iS6LEVvoI93tIVNnMJ3qailL/S lbwHteSTWML5s8zKUtLVWop03Ww6bPo4SfgHqdVXKA4T1Z7nEieX51fH5yfzOZ0VvlOqWiZJwrSS INU0lXytkWtwAF4L2p18NpX/rNayTgv5Z5VIPHuwPHwFezisC1ptCjUsqleFFDMIP2wiEDik2ctz +xfouFALSpcrpomzp6fBAZaDGqIdK6IDKHotBwvnGFkncgs+EYZSluVJnBfxYfOZrPKC7yZJU5lP p4/0cOT2cFiXGlQuCvk7XctCakknwFRprWo3T9nqVFlNBwXoMoYTKGS1WLJjhghijObdPaZgV1aL 3tflY1oK8sIKTusE5gp1rTiWVVnKv4tU/jsI2D18jPKM1x4Oa0DDmQ5HxUFliD9IJRk6gBB/6NXR 0p+vCoUAENsE0OXIQKRMwfKCNw5w5yhgAkS7Rw3O62h0SgLEQtIsk3VWyKSo5F/Bs8yT5JpX/LAe 9nBYAzkqbJAM838Af+IP/habODpvUJkpC8ZMEG1ZvSYG59VYaloGEkUkEwCNPpIIEM+H84tF0XQR P5ipXzujBA8EEflZZDIvJjIBQPWBiB+lPRzWUNp/6Vr+k65kgS4Uis+HNksfQwF+MmmirDqtZQoY xAgiGeKuVmsi2tEgGEV05fCHyURWb29SIb3b8x7wvuCo1ouFxGAofX6RKI44DvSagxJH5NtsRqzX w8ZljzfyCcvynJgqyKYDolDOpuxADY3rQRcMAVuRZ8QRwRne0kFgwyPq85GZMcEvtPAOkdiQ18nU 0K6PtUXrIsLpz15e6Ny89hYmiSwjzHTm8td7Jv/n0wsHp0cT1T7s4bDOmv0rCnJUrTCkzKJ6JAXB n5dRU9YNpRijNYrwT/Ot4eLrj+CUHJnhUPIIZx71amqFN1RVK0qFhiEGs2NGXo2z8t9DhxHAVGgd lsVpRomHXd0eEVZPiuLUFGoQVXGkJtZRlEuewVor8kjBCt1W47q2syCinZu5Ysp0KPog66ij2a9Y D9LBaQXhor5WQtO+RlRYciYRjn4yTQ7Wt3idOHiimu96cuF3+7B+9nBYJ6xuyWm9Qkm5yOQdxe/5 lBvxoovZisNFmvEaEFnBOaaLheSpAk2vWexmlJLnUpeVRDEivP13z1SsKBiFeU3p0s6V0ZA1ArJ1 ymuLkk0UyvnDnYjqoEFCLAjkJ+YWrQD/GN8Zhz0c1gkDvS8I9f5GnQocVbOp4nQwqHzp1KssZf2+ sKhgynY9cVpgMUAtJk2v47A4ClPJ2x9/8poms6nMX172Zr8cUk4zUiTDSek9vPN/z799u9glooiO FJAcWgDkPj9tM0YYxq2LAQpRJ4G8Si1zRFlFJNORdEHv3R4O64ChTrUwQr1VGEiWgKbElJQvnN6Q VyrP1SFhTGeCruNGcMLTMDiDaxghG6sVrwHoeyL4jTkUiHMyJ5hKDa658nGZOKYDW5OFVCPCyzyr gn8IA5la5PuZiI61q1qSqpYk1gjrYeOwh8Pay/yZy7Iq5L2EknJN5ko6iSvVYRAlcE6OqUzy4bub mhCyINSJLrihINcFZwCHA34q/p3Vp1gbQupHZ4TJvZpjMVsFbZLlAchZDp+ewhHCWZUlHSmcu4/r fNYJAnT6LIHMHiIWo7KHwzKr6koKkLyVBalf3kORApLvGFS+4gtxjBAcEVK/Q44STiCMSjo2Qgta VC1DGgrYBK1aWtr+fFwj6lQKvizxFwS6soO5dR3Dd9twTYzm0IAIA5nOvxFLNYTBYQVQ3YniB6Xy yOzhsGyBrtKUSso/65J4KmB5KFB6ZaOzAid6vB/06IZUDI4ANS44W2jwIRpjrWugYWmlPEY6V8p8 9vxxDhLMCdMpv3Pr79s/dwFoAJsgWc57Zi3tEl3IB6JhlHbXDgvRTFoU8hMI9VCIp6rCWNvaN8QW cfOd+HoydSaJzDHoi/1VVkyTVu8L7jZEREyRzkRrE8m+VtobFvYPPQ9EdUc+R+tsGCkaaA7SOeCR YmLs6QLOCp9ZR5G8rzN5ShJ2Ch82DovvmUwPQ8rLupJlKBxSxiK9tUgpsEKwLpsQ6SLQ2Q36HDNx OcRLsaErds2KMGtSua4bWyOYjE6QpHmM5s4z1JccET+IWepL/qtKnSrxYAPCJiiUEYWyDANZFgXT wsmD4G8UFt8dmR7a7FUpr1kq7yDWwyk9TU5GCtcwhzKwy9VzgzfOi2M86nCARypTk8qC0+nqsODs 0pQpF3mnPjFTh4I9HcyAUQqeD5wweOExIgTHiiscFOsVBJJPJ/KW5zLJA4lRIhgZov8eLb43jqqf q6X8UeaSw0mBlXJEi1DpWnLlRf/M4C2Gpi2qQlGczAVoIPT4CDhOCEYcAod2MgNyftbp7TN8nrMy pIslYRco+HPucgjDARbH8prlMikLmQN/9hiGvrndhcNap6n88fYqvy8XHFKuUKPIAbpMJMFc3o1r VjDX56OSzADXwmgN8IOyVEWaHumgQhZqQgU+M/irWoOVbv4LQS8QiU6fn8jOsPr5KmvjE6MC9EzV dT71bsH8UGDKIZV/Wjf2Ybez+Fef/Xu31O89CqR4nqsYJwvVKtxJKmIII+DEBkDzVgXWVjo4xKYg EyjxSbp5uzoMH79poAnB5xyw4rOusMmRdlokxxoU2C2gHm2QjLMZW6NI0rqWVzj+dC1PiU06POwm 9ks6rGZImWrKmawwpPw0ow7dLpocRVuAIxXbzJnXwfA859avPpWG+b0ZPIIwh44bzK+B4zcQwfjk xtxIeclFzJ2iStprXcshFvg74rRcsJWDz/2pYgBtKaNI1nUhizSV2SQ5S/HnYcPYL+WwuFHrSt4w +5dn8oYA4UnTod1l2lancQAkEd1FKeHz0/VZEIgaL5Wh9DP4r5bTwbhMn8iitt+DATLxqWfgEdal xGHtPhlJ4rkF247ea1wUX12t2IDA8Hh8jiPGUEEQsGnzAGjd1n4Zh4Xu3yrL5Pd0JatJJOXs40jL qa4TDIBEjJtcm+cJtZ48z+Rp+jJMWnrGtee4d+CuBmAQ5eEB9Rpgpi4AwiTSHQPPKf6k8vQNANKP 1wynNXt+pnPDz8EI8+hxf84EkXBe8lHDuqV9eYeFTcEhZYiUBjWHlEukdOfM/lmR+NpYLC1O66YY EgjZeXOZcwGinZzoAzETqBp0LgUiPQwRD9hl4zMrkXIKIyc4MOCyVP4rsUaKMZAavg7MG5yNROey zz2iAYH0muKsD4d1S4u/8pByCvAnCutlIUupCf4kl/oZi4ppFGsuip6+ZteQZHc2NPzpbppdNzZv JQogPUWtQrWfFBxS2nwYihKYQ8RhRMfCmUc444E+m/OTeN+1C6uiZqcHWFUBMLtR0PZZSzgp/Bz+ 9OseYqxbJAchIJx6D6qah925wyJWyZDqIFh7lUqK6QRMdmeTrGkkUDQzetdejN7R65uqHDLtkiEC KRhV4BM9cvM/rMfYH9I+pynnAvHfcD2Mzwxicc41Ob0wMGWIaqhQAzK/3XTTYRSt3+vCUspIELxV FZxiyLSvSRWNFwtFdtYpzcERt5Xn/NNwvXcqGQRShqG8prmEWSbPSaDp4cNpXd2+nMNKIRCwXqmS 8nyKlfipIrWrv3DgeBIPBzzs8f2kQEbbHJtuCIcFxzBNSKSXvr/z7+CUsGknEx2QTldL1usUeoAo C2MuqXZNq42zgRM7N0Uk9U0QcCibTKCrFZ0MtQLNqZLgb7Fo+NZJYxxHpLIh+HXP83AkPruD0XYK i/cHJwUjkSAiqjST2bcXnQYAqaCRDAKn1cXpcLZwEpBp9n21kv9RV/Kv6Zwzho2DfTivq9iXcFh0 KhZRQe8viwMpIijUfO6UwybRQqzVPj4LMjzDyHtVq2z9UN9NJ5EANDlR4OYWdbE6CHzf9HnCTQ/G B+eT0kFn/XmiyFcrqReLDc0wumxdmgJel2sJw8JA/KedOkRHmiriWpO51g29lofIMEuzBiOHz/Gu IExnHPcMd7dGrJzRorCoKjCqZnxvtlwpbquHwC0wWfVsKn8XpSyXb6wR4uniCmZBKM9RLE8A6dqz xr2Q3PDhzO7DYdUmpYUB1EVVyAJF9RDy4npKB5+tGxUFNwCQ4IPUj84wymWRXWGbouWzBgcENoO2 0WGFuGcdHsasIAwRKp4BIo4N8FIbAJ6u+pgNoi9qER5jcHDz7qDJx3vko7ALLZiT7A86ji0n6HU3 RVAhCts4XXdQDls45jzJaIEhaaS865ROklgsi4zwuWGI++xInYwLjmPBG8sNu8dnDQZWqWVVFTJb L/UepaZDey4Lecbh8QCb/roOi2kSiupAqANPhaI61pSF8EPEIdh8UH/hSY05uxssKE8HFWV/+Vfh A9KN4yBNi6ZtKFy3oxUvUns3TWmS18owWmv957is2Tb+qinoRypYSocVRUw5D8FMiJEzeS6krPqu +qWnrF1NJpw3ZBe01qicqSEcJycfusNI6LRwDZtAlJZhvVKoJFUQMpylCKE2cFaYSwyJFdv8FtY4 QM4FpMdAwYPrNef+KOx/IYcFhZr3NJV/r1eSzSZSz5LBHQrSBCxYiGneylk5SNOL29f+/ny95kZG LeuUaWH7SdlFje0zeXo6fHi4v/Livv81nCPUqzsYDyejjvmMKR2NpoLuoHFIqfQX3sHncW9sEmAd tRwqnO3bciUvKDuUlSQ4AFr3ssoz+X21kNeykFkdkttsFkUynyQyQ+3wivJoX8VG5bDQkgZK/Scw VVBSfpkRTzU8m6RieLTtfqO5MGNm8Lb7NSO6HJESnGWrPtT1GTOtRG3mRKTjnFUOF7nZjKZeTFNs xx/nnEctr7ogAwNpgp7m8nteyJ/FWsJ8LXHFKVYmjFUYKA33fCq5BEyA35CKl7l8e8/kRzKV5x6j Vfdg8VjSv1WWyltVyopKyiFb4DhdL2J24ooV3YdAdvc1pg3NrF1wNeoaFp+RWqEOGIZ0KHXWDRmP zhpSQk/vjl23p5ToDOJwQAp1M0OQh3oV7tmuTetYRpiIl3GJV2CgVcRwgOIEaB7RYZlhjbPWGLF4 z0tFFBiIvEopWZnJ+zKXKZ63hDKJI87DxndMJnjTOwcIL4MyDbT/ilzeAHUEDgqb4cLfzTpOkDPF wQpSpobrnWS4P2wadO385L/kScqaHbBmQGzPZ813McVDSmiF7mOOCymUDzRv0tlNBNxG7HvRHkV6 75jdIr3RAWkdEQrDiUIq6Et8ZhM4tIr1pUsZG0StCDPokFriwH7LC+6NaS0SI5WuI5nXlTxBfqwl PHJPdhOHxfpNXcsyy+TvLJVXKNZg9i+6XqTDYqwxNiA1mD49ES90rXqWF5bTYqmOBAtyTwF6sHoV kOwCTNR0i/1Th4YDpuOnwJrAOKFYjs8i0aAVxrkZzUlxftCdmX1PG8l/bXM2B9cqbA4F61D6EPXY 0i6+i2ki9TSRtTveopAkz+Rblsk/pjOJUU4IwFmGgv19OK+rryA4KoA//1guZBEFkk8iqeNEUepX fuDYuNPnZ4kTyKqnxCzBcV3LWIB+mjNtAncTBVNx0g/4GOBAUFjHZxI+sOM0kCbF81kzOnMMlwQH hLk9otdNjmz1/q4sF1T6UTR5I/SaZVKVhQjqNDfYTLxGpMHY6E9Qgt6+NxA4FtmGM2vM5g2IIork 77KSv9KlBFXN6OsliuVf8ycyov7qTiu+qpRWpkPK73UlaRJJAeGHG8lp0VDLwEJgB0nTHUQPu7JV lzTyOCWJjpSs1sRCDVWgdjI+poEgngMp365UF2pNNrLCtPSEMKsPhns0RgoXzuflqgKN7zCMHMd/ WHC/DWwEXVCyT1D67GP0qNeuiPlLp+SDWKCHegWcnCh3P2DPKMPl6Ur+Vc9kBojM2O9jzA6L+B1Q v4BQD3/qStZo49vM3hjOA46yYDDWTmMfH7laeopCKkQPoHKD095S1iE6gnAmikXaP9TMe7S5PFW4 CTqNJ7mzaoCmVhdsFJ8HAQsMkAoG+m73vUsclHCmdZ0zwt0Vih2rBXbINuBq8rnlMslS0o/Nw+uO l/0SDsvJ9KD794ZaVZFRhaSeWPo3MqODQv2FgNJSkclXuk7vWiFCwSgM3PhnHBZrRrZhqSiDcZFj UZORGWJsBqf2oQ1+9B5aA8+3NpcpU6d6/ODBzCUuHpE1Do7oKxayw5AjQ2+LlcS5EhlyigD3vwNW /ep2MYeVFYX8vVrKz6qQ9XQiwXSubVwZp3k0wuLwB6n1y5tHLMSHmQjEOQ6Tc3KrFU9cOD0AY0n5 fOKzGIX5yAqZDvrXdFgYvhBCoO91wPk6Wv6YcWRogp8JGoK/QeXCrmjr6UT+vyyV//W6kEkdyL+S qXybTiUBk8kXiByv7rB0SLmQn+uVLICn4pAywJ+adozVdHpfu2igKblpBMgC0XmMoQSFrrV5kGAu 0EU1On4Wfh61KLB49mFc9S4gxntuvdGdyx2D3+309Jihywbke5Erzoy8XV9Q7TnAgTOdSj2ZSF6L /FHX8pau5Huey2+zObuKX90Gc1jrPFMl5arikHLKIeVYOcplvEbGAMx/EYulyjm3hHpsPFZ/A+QA mw6jL51ZFVrGjRropieotWNaTBDsCLJBCk6gAZDnpKfpHCm10sAGS/YVLVCgKoCoMNSOUd+q8ozl jt+elWLn1ofKzRyWo9TxUFCnei1zWSGaGnBI+aJmE/tAcKOWcdPWtqvmnFlDUfCp4p/OcVZ6CbpR gx7DwPx5YoFCOgsWrm90kruz8iHp3mn9F/VThwzvoUoCWVVrqdM1D+P5ZEIer0sCZUfrsPKykLf1 Wv6TriSfT6Wef40uyzZOJ1MakhNUJdca1aGQ6hkwD6RywEPtgy50TufXSIuFwqR9ah5Ip+p6Ksuf P686G7mvKwibPz+ftw7dYcuvYyGwZ09zWSWJ/D/vb/LfyYzp4ezKRJU3dVjoor2CnrgqZAn62Jdn 1qm+krOCuZIK61a3zu8bWax+3UkVg10qWZzjoHq+hwYJj1JjBBqUnh1CFq5jBcGu17wPyMZfJfUw iuX1+zuvA6ngV1uHF7cAoNNI5NuL/J1lEpW5JNVw3P2jdVigfSH4E45KalnHoZSoUd16s59hLuPu kIJbL/I2N1aXja7dvJIIfRjVjc+NEgEDSFNGZ3A85xT86SxmM9V3RKSzXl8F19RQTOMZGC7sYXuM 5IORZFXEOvM8y+SlI83PmCwe+5DypYzjJK7BN4KTxjdeF6VmIthB22KyVewIfoIxVb+7NET4eYeP 08ngn1ma0nEhw3I20UtFWz6doCDW68NRvpzFsazyUl6LXCZ5xHGeMeIiz3JY7SHlv1LlUy9sdOQL 3eNeKxsCv+ebd01ccp01rGPRnnWwfPgYP4fr/2xov9Ez/vxzAByCTOqgDHp74/XRCV/AaREca4Kq SOsfzuq04RllschPwDcW7/Kvl2+fJki8ph28UuWoyuTP9VIWUSjlNKbogw4py5c3FrYrjVaGFC89 xwgWLZVY7uB1GBNCulzRQZGHHjirzzorm/cbcvacQ+Vkv5iypgUgKyLZIWc0nacdqSyK7NoZHUjT UX5tC7Cfq1Bey1S+15XEN6L+GcRhYSG8p2t5B6YK4M9kIkXEauzthpQvYCRws87SrbBXbuCWhzM6 VqiGigw6gT6/x5GTIdIf0lcNvGBbdcEkCOhUSmeDGEgdCOBWwDjYaKAKz+efxRfZs4MYBqhXgRIL 3oqr7FMOi3iqoqDyB5SUgVTPcWLdiBrk0kbcEKbcVyv+u0Mbrl20VQUZDB0rfmqfE3KmUM75HWAe +IyzTFfrzSD0gOasoyzqG4K+Hmj0hc/DZgEH7fDucND/shaIlHGkatYgMKQExvgtRo2K6R+K6Vkq fxa54qlQwPwFHVVjqpCgYqI2t+dyX9c0OCOKuO6TiLeWvbKiqrPiXOCQKP9MxVYBSbhUru+AXDjG miNQRp73yfXlCtGDmjFP/PIWIApGagjAMcY85EtYnGaZ/LFeyis2Lzp/89sXoa9h2DAYDHbCPhDR uQrytVkFqMi8B8hHssPlciMaOnDq6pEbR5LYYbvQe7cOIrjJIdpKvn6XCTvT4NxdeWiQCMuc3104 KxHyy0dFSSjKV5oxjP/ffC15EkuJk+qKlCpjMJ7QDcf3+TN855rPrbXHcZwaBhirokDaY3p+A0V+ jXIOmAmMdx1sBZeuTzobBQ4IRnWLBZ0YC/E9x5HoqGzWcch0EMNkEKW49sF1EwtCDkn/iXr1ei3z OJbf5v0mHG5h8RL1ECvg3o+r2jYsfti1fXXQSpfQmsdMHkGQtTmshrp3mAvzJgO5osC5FSudTFlr QfzSkbXybql8vArZllItV7xfryEy0jxwHbx+DDg3NDDDAn4ZYYHS+S5qWAHr00spZMUh6ULC9UqS MFIQLkRugauTcVkccgHdp/kGUMT7sKd1HyEKtOfR/oeUOjevbVj/Jwrjyo7ZH8vkaZP/k/8bqitQ zokjOkVPS69RCsB3UAgD9MR5rmrSNnFQJXrvu+mpX7sq/+T92Rh6OazxEBFe1AIdWq8gdAGGlSyX YrU/NxkLAAAgAElEQVQkxTLruVEsL1DbblyWZgITG3S/Vdno6yDGBjZsWnSt1ssFW/vzlxdln7yy ad1EI44gCbfmGr0ojqFkSHHByZwipNuX/qWoG2HIG6fmbC7zb9+4YAlWJWFgrfxXV0wHcI+QqnIV aJ/rXLy+yfP37xpZmnI07mH99s57wP0///ihqcuQzsrqYg7OvScLwlDyMJC3KpdJCKaLWMKylD9e /5aEC0WfCVge/jmdyzMOi4fDup4pMwFO9oKOCgv1WhHGPqEEGMCPu0BQ1peMKiY3x9W1OO6pH6IR CFuAgUEBshtVHhVfAJaJy/KmxnfAOp3j7rFJ1JFBhg2HCacS8HOXqLWia2aF/LuoYR15BlwnoKaJ Y4pcuOWkYlrL/5UkMr8RlfRdRlgqXqqCC2fxJg1gjH5cqca6gPuugxsUaRI3UsquIRzQKfiFK8Fw oNk+e3eB+c8wyrl1s8X50+qWOow1B5Aq4z1p1HW56/SD4N4irLa5TiV54hFwtv9jGMi6juXPbC2/ VYk8DTBp0dfu0mExPUL3DaDYWzgrL34T/a1afqdEIuigAO5dryWg0MBhoQpncqDu4ZGBZueOHwOH +W7H1OtWiBJBvczo69LX2OoUfyX091BG53RsRgtK3slEXtNMpFA6oufkepJ4d+mwdHg4YzfqVgyj Ra6RA7pczmZwyhiqW/0KbAgwFJ4PRW4o3pPb6ohTg41F7tzhHD4PqEV2NAuuLwpxj/FV3fCxHX/O OFjL+Uxe16lIupZZPLmqDuJdOiwuyRsRDnqnjh2X2axXSM2aFrqKoG4xPq+2Q2KRPs8JzkTaeKxA TwcALA4EZIcCX37C3HFqFxPNBmXTePr+7ar1Rf+ae4ywhNui2wFWAhJRlPL3ciG/PT1fzWndlcNi KgZaFrBO3Aggp4thw99+LizAwZ+MsvA5DggFcd5sJhPM2J24RxaZncjwxowVTSoI9lCASqNY0f09 VH8e9sl0vA94GDQ1kcifFcgaVyonFl3endyNw2rXRJAK3ooDqD3/RkmpM9IdbGSvg+EPIhACKjEQ zJnIjkR89r2uxXjLVNAPE7BSYDNMEosQb+Ss7slFVtZ86SWgi2g4CmVVR/IXGE9yjE8HFx/zuR+H ZRsaDJ3Tp4En/PuYFcvhqFBLS87QwGtEV6ua9SyCTyFVZh2/czjdr18vwaluCtVgf2XNShkY0ChQ FoZbdG/vL6ArqRCu9EZ9bp7ObRLLIhCZgi334bCGs9wGfR3Lc0ujwnIyoXDCufQo6vQqyZZgcjAn hkZCD2CpN4SIzbqi4T2g2wl5NSpOWwMEdTeAQm+dntJu/f1XtMo4sc5FsOPwXacrWdciz3JZnvi7 iLDYNTO8060Aom1rwI/ONhr1rB+0PgP3gpoPgKHJZPyiAs5QAVjJ/Pv3JkXWGpbe142vEEMocldW 6z8+8+yzQCRFbZZSdZd7h/fhsFAXwQkyAmflhqgGdSPvGkbhGa/CCtVKD3OGYs4NUkGm5QC0RjEb A2O1cayS62PgzjWg4ldVLa9ZKt+B/btQ1H4XDos2JGn5AIaICrUn0geXoGk+41WYRjzmD8/BlJFc kw2f4CoCG3RYIPADM8M593slG88qubxVYLv1OcrPGEoceSF/5KlMw0im+wgpB7DxrpoBjWIIq5Wi pkeixUaqlTjmdQVnzK4pJ5QyGEyjpzOl6YF01xrExWS4TDiDrKlsFqhAxa1AuyfNg84RHW6XtBxq 30aw+FkD5TImY99WS4mentlQGtruwmExNzesEkGSIyEqZKQB7Eql6PQ+i8bDeKUJ6X8vCiXQ3XnJ moMqSgekYMa9ovN3a5DqwzaG6N5ru582C9kBb7jUAXgXDguGmb0qVGgDxnLGUstCaoS2ftHDYbl4 KJkejH0z7FmDAPYGq4vQgQs8C4cr4ATHPcZxIvElaZgfdpZx7QyUvukhWhH1fqm3fDcOC1psQRFy E5ESWMZhWCy4JszNnTRzTsBvYYAbhnuB8ykNm9XVaXnt4hJdOURuuCcwS+BB8wQnbclYnvrD2gpB wVDrwAQ80C2cY6j+AuNN9+OwrH2u8lDjGW/19FTrScdRi3BWAIoCxgBw5RyYJRN2qGt3YN2iNKaD Qw8+W5oK1D0iwHS1km///AdR6w9nNTKrtRky5PA713IcyZ/pSiZFLFEYSAw90wHX2N04LII1o1LS 1YaDagymqHWIupYcaiZ31Z4XjCgKzgoFbHQFSRtjp+L0aa7y9ZTQ0s87leZt2BrCQfFVAIQSOW3U NTpkPchXPGxAwx7AWkIZYlBpuzCS8uVJ/p3msl6V8k+Q/Q1IQXM3DstHYlC/QrrScEyNwAicRPRn KtS7DovahEDqF4XMnlUCvu1wSQA4mShHerqWaTjv4JAtmguGxVjBAfp4EKK4MXBt9TKnxPrFZ3Rq G5YH7fagZQHNL6VIYnkrUMfM5LeylOfpbBBGh3Hs2CuZUw6TxTIy2fQRGOmBwattgqlt/BKiFsp+ WVQIMrt9DgC1MLioCsV4cm3Fh4upe+TFBuFEh6iBKFUN5bsuoCb9sIHMCuQX40OLIsE8g4q8FFJm qTzHE/LCf+b7xrFjr2QeVSEU9pb+GKzhgiJhnTmsSlWpV4sF0zzM2R1yVv4Z7oDTxZJF9RhO6VCK CbT5gPUF5feayurtTSRX0r3GWT6c1mCsFm7tkaZP2QW3ARpdVRjIa6hdbahMfwcLR2s0ra/dlcPy IrMOe1ajQ+G3WRMACkUncAaQpQlRnFqcBKOiJvHju2QEa+ZckHAkH6yy7tBQIxSWcgMUijrW8vWV 6TfpjUdSL+xjpJaXcRjWBRoY6WrF2VPUKKmk/fR0fpbg/GMU+7jg9CS+B4DSMJD/rDNZLjL5ZzKT J5BXnuFs78thtcUORmQNed0O1UtbwaXPSeqCpUgxKcY6/RhlYaEq6HTAG6G4qao7q4ZgoR1NyKH3 YJG4qdm40liMHG7obNcisydIwGltEM6LIiJOJe3rJAo5QdFVsEMPrSvsCNRop4m8Y/KhyuXlLZN/ zOcym/RbF3fnsNqYE7Z1b84O0KqvgeOqrKSKdOIdm5yEg2eM7nDchgR/2YfB1gYlX18IvU99P+gU 6Hd/KRWakZ1mXscE3i42/n9qONph1FDC8JlDMbyQzIgdibWzUgFJK13v0uc7yTJ6vamPOgqlCAOS NKKj/VQmMo37YbXuzmHBXKJd6zgjcViBOigKqlpDAIuM9ajEFlfPKMvrBE7H3Faj8TElnt62S6ku bR3LzxjZT0nGV3cW2RiLNSnySLqE/r6iedS8F1cMJ9032VmNmZV6m6k2asqMhIiqZl2yBIB1j3eN cgjX2Q30OPldqCPHkayqUmZlQWrlrtdwfw4LJw4wWb4QRtIphLPA5kYKFZYRrxELEsVKLM5J3Z8u 2BckUjM6Itw3kPIQseDiXhEGoemE1r/Q5gbz5GcWcbFOWcdCaggKmbFEsV2M9+2gyhFct0eo7Rg1 MBps2VObBMc/1gt+A2sIPwsHhkZT/p5qyktFpUievoGP7Ab3iMP0aS6vi5WEeSn/gOo6rrXDr45j t17ZULBk16IoZXJdWbWD5jqDil+qWkKoseSZynph8/djFNWICWkCGE6bqCpNZQbFa1skvhlwEuN7 Vz9fFQ/mERqUdUznMEpU0PRo1ERFIijgFFKr2PmXMdSIWBfCkPyNDzNXEIJT6coGGiBKNifkP493 OX+JZFo/tT5Xo99bwU7wvdlsKr8XhfxcvMpTHciP6UzmEB45clDcp8OC9DtC46oczUnaPtXZDcKC sk4QFiwjI+DHegyqNoDUEierjsy4aMU+p1ObwyzDQk911kD0v2k6oarZKdIJK7BHez4Hn+21lwm1 7kbwfDsa10KJA6OUSXLbtJDkjhCH6DmsH+z8LMsBcSQhkXr6npnx3vi9sKYVxFIEpZS1SFZmMl/l 8hzF8m32UXPzbh2W0gsD1AY2UijG3FZMtFGCBgwBwTw2DEj94pgdNjgEbH6O37jqT4diqdetODJj 4qv4rkMpnwNr8b0ojNKBtlJLFWktWJ9SaAhKI8YFTqocdXj4ffz39XLZjOiMoR7UxVjULtSx3xLa 4GsCzxzp35DrM7ggm0Ivw/rEYccAQiTNMlmlqL0VD4e1V5MPHTlKXN3WbyPyQVSFIeb5yzOFMmDY 9O50nHoGtYgAO2myR96+hVp2ZZqqqiWHKGn1zntGWuko9EPWFHL3GJ2ozBoFbdTB+AwNhd+M4hDb o8Ko1VB8S1cw1g6ZznZgz7igaZcPEfd4RsgubSGaTmUtaXG4K34fT2KPIbKCQ0humMe7KWUwVGNm kgAMiFPeJOez1ZoOBk41QF3pOSAP1nqF6GVTimVXEUBNK8Q6yyccC5ygOr6QNahBrpmCrlC7iZu5 NLCnsj7SwoKh+O4R2pewjZTQplxw7fXBhshawggR9kiKrFeyCMphRx53fM9zVLBbKEC78IQX2TmS Y5qC/ncg5BMTqQDiHV0fotgt0gI2qw1v8q7n8vWtUdTx1I9t7FxTzEOR0zlGJwhHZHgeh000vF1o r+NggBP7gtLv3p275lXjWSF9B+EkhU2/UP1vCEMbKD7yxO/TYXna1Prf1zIyL6AelYH5VNHIjpMi BMCuxzt8zsJAzI2DAPc4HaQPcGyeRiK68VQCjsO7kBeJdPDZ+OOppjE3aCdWU5uvYg0tDjqdV56K aKuTT+cYuxmPytO17h+rc3Lknu/TYdGwGD8vb9TXFKWsm5ldylojJ6Z9O7UKdTxJk3I1yOY9py7a 8Uk04+dsodpNsUY7hsF10yoU5TnQrcX7r2ANnMS7sVdcGw4rcU6ze4uuajx3CWR65FC9W4eFNn1V bMQfrua0aiMTtHSvQbUfSdWUgz5sun3kwzqwmD/eByK1SIpKO07XjBTyPGs23ldJCZXiR0kRrx19 KxULJOOH7Qp+FSvTjPqc8yNNobt1WHQaRozHyOYKC0QjJYUuTJ04zVK1o+aspDJhwZ1RVtf6hqkp a6R1HYcFoCr+gBWVmKy6VgS/Ia8b4U5LeccgcOuMqTA0OG5R28T7IekhlJTu0GEFHJXTvXnI7tZh eZGYqtBX3BCo5yB9Ixiwx6aoW9gcprOWLnYxjXCuQ6njzKOIFgBzwEA3ZwvznPdfoPgPpWrDdeUm bU4Q6pUOjrY52wFQ+WS2cMrgGzgMfUeqZHRrB34LgzNCSnjs3u/WYaldcVHYYCoAq8Qq9XBWuqk0 akF6R+qWQjmRTnJk2QLw0/vSIE6AX7UOowK2LPajHhRFhFpUVSphFUkwUagDpettBMXTxibiusB1 OlMByfAsdYXDAlDXmxq3wD21OfDvrXa17bCO2/06LJN5v5bTIiq8KCSGoGhPwVQXdkC08vzju6y5 8bX+djrK4o1al9GQ6Rd0WOv3dxb3IZTRdqZwAk/fvxEThvQQ90WCv9lMMVzLlawXPznGM39+NtLC C+gluqIPUPi1jhEB6wSu/Fs6CjhuvKkhFJi/qkWo7574mbt1WAy7gWhOtSuETXzJMFwphGem2dfF 0ZisF6TsOZ0/08WMzzFyPlfZOWQUMiW0IFd+LJM5a+AHA5umM1EzY3gQJJuoliKQ8o49m0JcY64I evBo5WCRqK372UbQn7CGKwqg2TZWzSJLpH6w+bdvjFaHotT5rCnlj9bP7tXWUST/yVNZ/p3LUxRR uGKyMzt7t09Hw/+JxElFdWJ0Zi6aCninv2Pd2zce0elMUzZtbjqfHPgmTaf2td8JgyhyhU2Yg1Jx UzBVKtTALquZ/+uVqrJWhdRU5wr5V/ynOq2jdQjMKiIds2skhMAwYg2nfYmmiAI34XRR+wOq/liD QtWmFbPWdnD+zPGveaYIdtbNMD0wklqRYvFu7zhvakksWRkyC1gHIu/5WuZFSPGKJ5MKu1uH5Z23 IJhySLchNLvUgrF6ibf4Hem+90etuI6Nty+60DpPKFWl0mAUmtj5DK8NYVMiisFnrjnUqwBU/SD7 h9WPfHbNv8Ofx+4mamALcCSVRgb4LGeYoC7iEWMURjaIitFUW0CDkahHjYaYT1eaEuPfo1il1fdJ odFZ2XMll3zruvWZKm1M2eZCG4nDIlYuQrQ3juu5hQV4H7EIYmA0YxZZLkuqRtUPh6VPSEdLlL2x kELy82e32mMcBzYBowcwMdTKhIBNtc+8wI5O2qFUiBGJoeb5My3nR4cCRxYoMyUvCc4nxrgHhCFm zdhH43zWqtTsQ7/YOEg3yd6An92D1ofzA/1NX/oTv37MNUJlB9e1Ny2zAvz8WYUtgOQvMiWpA36t /Z0lrwdsrZHqIu6AZ6nZuFzxcxBd4tnyumUcplHgZRoNX7aLP5tKVq9l1epu32+EZebwALa2vfvW MzVU2pV8wzW1ZwPjBaAQTeZH00Vs07w4ZTP+HUh4bDKwNhxyBEy7DDWfzLeFK5z2eLc9TihBDKoa pEzqhBjdwPk9zenI/DN4T1nODV4tFv7hrPsQltASOei7xfx5wUHqs9B0EPJPe83qf/hO/N5quWi6 ivYDNi2AYeztzqlHXqyXzeeslYE6J1+tR8Y170rcD4f1Qe+y9e9377D4UKyQjY1Mal+c4B0YHn3j ER1N+ICmYo6e33VcWtvBz2RSLLX420QVNrfmoyGIhI6lpz5rSEZRq2Pxs0j7kmp0tlP4dseAFCtp b1ZrOLTvtoEYgI2hJYKhlDWlRio29tMHxc7oLEWYX9K5xD9+MBUFIBbPjaj+PTWwNtzBI0O9IP1/ zb/iWltybv4+8LnKoqrqRJnzdD1s1IYd8HBYewxRFSML7751RGDDwSCdQmpE8req5AaBArPXZtqp ThCq0wg5EOxFJHUW7Y3YZe6PjAwuXIEiMoCwhmkCt9BujYxO2NgVFKT40SkTowSeMLKxbq4Fm50s E1JKUGn3gER3qAV1FPPQDmC6BZ4lFivNWHxnjSlfSAyxzQPiFS7AYB/YOCUoxrSVYpz62QvspAN2 EYc2Z9ioRoYeDrRtLJtIILNwsw4eEZabiZCSoni54tqJJzpzeHJBk2DPumxBIkUcE4+EOg+d1g6/ Eibxp8+BzFDD2vlsbGJEG934u0NqDgJTBOcBY00r0m7a3ijF2UPh2NyBtdMnK/ajptfUs+BcWvp4 +Hc4MFXQ7oae91oZIjOkZu0hbdwD6llw/K9//CHTOb4XtbHt33dnHuPFGKassNTSBRdwD2RDhaOy +uQuw+rW4TAiNlTXpRyPA72tVXkhs0C7hG4Ph9U21nNi1o7gBLIUcu/JQQ6phk2hqmXx86c8f//e UAw/ff++cVqWrmFwmTgoiI3OZns3yrGi/b7v99QPSG2q4VSlYowOdCB5zfx5DF5v080A8wWHhfoW gZ+ES0BfMJW3P//idaGgDcuXKy2cnxKkMFOOd4UbuHPZvS7W9VCHmiZMm6HoA/MGgm5mkeff/kHH 62KtCfA6u+o8LUf0wQFYetlEWHJ7G0R2/hezMMtlmsxk1tp/D4e1a9CkDEJuTDitxd9/s9D8/OPH flAf0xJNA5dvb1qXSZSGmOo87L6tFUJhBfmjxGy+aLtmBwYDgDQ8UitEL8cWvwI3NToCRGBzG1b0 D3Hv063PoJrzfCZlWfG79P5Udmy3yH3I1DloU2GfQ96kZyYgC/odYK+midYUCfqsmDqu3l7VgYkN UNtc5tZ1dOC7v2XR3TUhCT8pSpsQCLletg8Aw6VZCSCKtbnwZRhczzBCULJM/iuaMLpqv9eHwzpg 6lB0Bg91G3CXh3nUdMl8wfiGYdxhZHyuJajqMY65AqxgW4H30MvSz+2A6rYOmMs2dQEdelRGlWAv miOVbOGhdq9PkegYqVladIKUUCOtzlGBzfDxs/c5LGOT4HPCMzYhC+8AOuME/ruzKlD+CpCI3sPC GxTvNZyWOycnamyrbnPCwicDcFiSbmhHzaj9v6uStNnOwtEAfrs2PazGdws2is4GwHCay8vTi8x2 OvYPh3XomXHQOFAaGCqpAPKgoEQXonQ6Y0RjBGfWtayQBlrqBwOC3kdAjhoiHFOl8Y7YwR+1Og1T IgwbEyCqkR3/G1KoI6j1ptNmYErcD9V4DugeOuc878EZBXqmL43S9oGIjP8dz5WbTzi+g43qDpkb 2w4HHgQ90+dbmbN0kC66cVh6CGi02m7u6FQC7m/vZ1XaYEAURoBsQxukkbGvs/2NFOXax9rAk/Oa 6zitJgX4FM54Zw2P9Ypvbk4rjFqOC2r64kORF84CqQpBiuZcPNKBE0BNC70qCksAQxQef9SVL2yg 22czmdgowj4jCHK1pgPANRCvZfAGkvxZYfsYrokO0SAQvBcAQPcp8bSAohwTcvqVHubpnqPL9zk7 RpaGlPfmADjt8fd43rwf38ifpC5ustILR1cO4MX7YvF/hw1265oAt2gG8vdbYB1S75LieeLZgMcf v4e1yu/YidCwlqHI5EyqxNNFoTz/9puM0UAxg2L7PjGyGIVWby8/TDcONryOgWynb16wZpSFTVwU XDB+WqLmhZ/BQoginH41ay5gJ4DBefFE3eMUPFXjK9KVuwXJ9PSPw9Chdr+caK6ZMbQIxJHylaVM bXPHAYQ5akK4JrAjcK7uUERm18fPrI6zCXjkh/qTFuVjjQTLUtfZnrlH4tmMbRPgVd/U3uXDZuuL 97q14dkqYNXmVE/U+hjxmnBqVwvZcdaOKw8f6Pq9vzdYNG086HMEG4WPNKFmBicKR4eD6tQo1bWt DkTSMJRllirHe+uAjLGpwNOEgVSkBPdsjUS8pVgssu9BrDNMtc1D1gRPAVEAR2pmYhKsVZANAPgs fDawRsrLroPXm83vaSB+lyrPxsSgxWZdYKSYscNlX62JkYdhs1jQxahRazH6iY/3zY5oMlFA5QEn 2v5cl0pnYIIoskSKjPEhODqFbDjolb9imoR5llqXL9BRpIP1K91kbYfWRFrmCHXeblyb65A5B7/O Vp54vtbYIM6tD6FksBEW4VrDWok+UmHvrhemkqIssJNqKuEePN4QhvIGBYFN+LfrdwBuU84S+bMq ZZ2uZJoGjLpgMU5gV/PF312V33xMZqc8hR4OSLlvmYmbUs6KOoErdhLb6HaPyDy1cVhDadGCd83a 9TA6G5uLg1GFGf9u9Q92AY+d1HREcFhwvOZUuBmq5t+di4paiB71HLEGtySbsR90RvGZLPa7lFjr mh3rhZEYQjnojKcE5jqYtgFwthsNBxSpG6c2hMPyYvuF1rlHsXgmk1k3ni1uaAmkxDD5GRa01trJ n7ViPaEheDdM9YetDimgF4d5RgzfsXX7IXLG/04mskAGA9hKWTdo95jdrCRhGgTWAqQHl2R8HKVZ QZgF7KIghqqr00b0BMHLfP0m8uMwW6QCRuci87mi49NUB39tWNdb854GcUxoqem6884jfD94XS0O FceHsdZFFL521rQOJTrTSJ6tjqeeRW64Ji7AREddAH/wyM+ve8vRE5epHTE4XN4vmhQOHLWf28QD e66laUAM19HbADQvE1kot1XViy7GqXmuFSyE1ixCGQMPRNfeeZ3DBoDbsjaTbLpYbsoBm19qJhHY xNlTKsD6KKNI1q2PplvlyW1KLMiBXYTzlKT5r2A+LMzaECSGZscjmF0Da4DWpZy6GIXl41EAh42t YM+oLk1NIVmJ7BomAbwPYI6ISD+8uZiOGSrdW9w4MTnzt1zJqix4ik68C2g6gnUfJ4ANHoUync6o KOMLjCNNrY7dFksCIrJCVWCebC2pxL3er5P3nTIHifap75y6F9RxgtllSBs1iu1HxudVy2sFCYHt cTx/vIt0uSDguK85Iy6phjhtoetJ8WLaIMDh6J1t7WzqnsO6V7Cz4u1YcjAn7yDhCLVQIwWANU/U FUzk6alpgzqx3a9o3iJWTM+Gy7tvaIyNz99LrADeZb21ho31JQUSYZGjnmiOU9vUGuUimkFtrG3+ wpFeOm87FktmpxUWotYQSoQ37CQiVWyTAJ4SOWW6yzRW08otsYj2vRzBXSnDg/6e/rX+PaI11FAc OW+/dNhh8fcGjLB8E1zAQejnaq2vq/kgO+cpLWK9dLQVWFkjIK9Zv2fbdMyRBUxijZinPsFpmYeR Tk4x42p7TUshhj/DAQg5tZ3P1fqwHoIY0n8RZR+Fxfvapj7zBe/3KzosbBbUc3yz+iAuAZV9F4ml LEz3uEj71Vl4UOBEsaJrDSYD1JpwjdaGZtGy5SS2hFVtYTOcJ92WirPSUZkCNDfATtHTHZoS8O2v 52jEqE0Ij8K7OvRN2rUdNfgm0UgrIzzD/32fv9L6maP/P++w3GEqdvQyEdbmMOheQPe6Ep/LOtVu 6bUaDAGeQ/9n600VlAZQnzxUC1UA9Ub4A48czswhMngDjSjIzkB6EOAgF6l2I6y2sQhsuJ5refvr whZWivlB5DI/UhfqaA3Xlc/inSEk4ChzL7IDVY6FG3/XFG6rMElFC6UiRhi/e/0EuRp7KGcYFwvt QDnLpr1jHcjWVvq+1IwFWRxiTwriRCe5F0L6gMiH109wLYu/fzJ1bK7p44OxPzKI6XPAQdBR1/EM w8GH1gSipV6/Z+tm9fbedKgvjUivveER9Pseb8R4+eLUdTI9NDCwft/2C206mDu/V4ah/MwL+SvX udKDxyVDPGAhXl9ZhB4vKra7qQCEnnrx7DiQ7xxno1xRn8MLeU0NL/C3//5vpV0xlgSHQbjsfJ3r z+7O86mslkZN7AjOZloj26EiRihf5PUWB9jWtdiANCO8vunTVh12/+/hHqGkA6cFQ1Nh7885M+oA uorqsAqdl7zoIdw6XHp8j49BIXLhp5zB5noOQLp3l9Cuydd719/peydcf3CMBrmKT4Wo2NSoq3g3 8auapknanfPB5EEXAmpN00TJ6NJ0pzbT3RBVwVjIjyOZhAE7fXBM+k70JPI0Cl2e6OVF+bB3riq4 qv0AACAASURBVKedggnrFFqbbE4z8nIp9KDWjHbLEOZ7R5Mpbw9D1NTMUB4YS/Jr83XVTns//Jxh jZwc8Rxz3nrUay4N39FUuD9djNaS8Rw2grQ+/H0Jc/LH3sBxc1J98FVnW9fhZ69pkWDN2tfaEkKq YdS6PQYvb2Ve80F0BQbNo2wJnzBCCTAzZpu81/c4tMIkuTxq4gmDmoihpqNIwZeOFUPaAZpkilAe 2fBI58h2AFxLC0Co+C8URQsJdtDuuzipXmbP3Kl1DlkDDvWh7D2fwwaD1dLwLmeGWetreC86B2rX dOmittfxekZZPrvpAF1CD9plg8lwzhYTCXIGvIOHKOtX21xjl7bjDssZM4OQdR+cxIoV0RusIGqA EZaRg02dlA6W9IQt9DFFFGvkgw4ezLtrpxYsTn12LJ1jvbV5EW2h1oTnX5WKdOdGN9oX1M4cw3Po pFRiQAWu1tZCbhwfx3mQdppMunWsKO5pA8vnHRKq+nPMuTiANgyRxoYH2+ZometnYl4SUdY2+LSL 8fkaaPby61VDLN7fwaT4sLF2iPeUB/p+zenVcIBWOxrC4TYMt30dVgpK60K+/fNlPA7LDQsJRWV5 1n9nMZ6wh7Ws1msWfsfqtFhkXy51cx8DXg5kSj2jmx0nI+h+US85yr5gyGjwZkEZeddBbNDwIYej Jy1+c3ZanFepqmT+8rL3O/jzmG9EdxSNFIuMCfhEYX61kjXFHbQZgdkz5czS59bXfFTHGziH7huL nhvaGgR7nw2Gs58xnK0dT8wWonvN1L5rbRWHiCsRXUFdWc+Dzzdz2sPOtWPYlkvWubochKcMdcG+ +C9ch5MwXnsG+axKug/c4qJxYqOjhY0yFtVaTwEpbFAUTf3tWg7VMW3By0vD7uDEfvuuwbuxqE8d 6sgCTR9NdDAb6V0bOkFFacMpOdXIPvO2ORyjA1R5vaZKg+tjOpvl8vbHnzpyU5Wy/ImieAuaAM6m CK37lg6gsVLAEAXhO8giAJXll5emibNlVlfUaYGPC1+5xTKJJgo54bqbTGT+/ZthgDBsrlieY5vX I17Hg118HVhr3hHcQ31fYNF3GQTy+vsfHAWjM/vkx/dtwgK5TnzVmXXaz9h5HsZBj7bIIswicvj3 cB3lmuazeNyI5qyufRK4KASMAE77ozxEGF/ZbF7H7LAecHC0x8j1AMIDSrtVKG1Ah2A+BdJ+sh9f 5AKmhD2giN9uJ6MTZwA/HbLeONi2Qs2mLa2Ff3eCOvqDtNuKzHXdMJcytTRYRFu8lPxMLfjFrunQ 90bOvhk74tydP7dKwYuJDRnvSysJgIXjiw8W9oc0PAcqbreEL841jzCJJK/9BdRsyKCD7Pz6Z302 mjDA4rU403cPUef11yWgb1+xVwpLubZ9+hudUldn027ssAww2UAXjM73VtbQ0YD61oaAfYrAN7vP WzUkeYf4kqw4TWAvqWb0Htvc5F2uh902i6QcJeROy0d8UFOaPX//2FCpW2mEc8LTgRbNYLfztuO5 t0c9yAuFCJC0PVbcx/4DBmyP0Id3NJXm5yP1jYNp8bmI5tBM0JvcZkZw4kAAZCdRt1Ggs62l4gMn PMTac+YOosRFUzA8D/Cc8xBkY0PLBed8LsU8jCW3HaG6w/pwULWfaQvX93UcliOXlyuCFY+lJJc2 RQkb3siYKcdgxNY8zaWqprJ6fZXsXdHdGJeBI9PZzdO4IJ//UsbJgo7DJxMIUmTUczzl8bpIXrfa 5rM5aXA8hSGDw77Uyf4Vc4nSese4l7mhmcFNzs8h1a8O1ZOCJgIzQCHFasU2vW7mw6wJZBrljNme VHJn7T1RwWdJp4WPa6t389nY8Hh/KuV+xlEmOhbUeIZh9FRerUKSuSpstx1TLso8CmfmIrjdP7fk M0OkRH60d+VsI08+/5dOT1CMxCcC7NmhBKTRtKb717TB3CM2pNdrWKC/srnXx4JRUrLbp6Yfiuog 8gsCnZ8KAnn7808KpuLfu+j6uXFQNEfUlsrb+x+sXZH9tAdeh47ANAEXrz/5zBS2okX3cza2yo4p g4MO/04k9A2MCHI+M4K5VkQIVoOdLpU/rz4dPYJjl0sp80yqFr+Xc4mh3nJJ1LjXTPldYG8dKLIn ng3PiM5WtozcaazTIo3fL+12bK8QVIyRmiNRJzuxzb/o/6Kq1GJBSMS1A5TBdrVTrzI9MKDpNW/E C+3OxTSmjqWH3C6J1V4gGgEUkoFO2eEGJ0zhJqjpwOmEOgQNvA4dooJLdTYS9SKDBixXOjfo2CD9 ID1Jw4jqQPh7wD4mPUGisk8x2rjFObNoTJpkjiQCfqO6vC+Vpaq0O7yOa4gF9clEu7OLhc62UdjW BrAvVGz3+p3XTHlYDtQxb/jaWwSKbXMaIRj3nNWVTn236k7mPOT2pdunDI5Kx46uzwA7mMPajH0E pimXbjToruG4WkOT43FVVti04qWrQ/tLpuqxLXYWVl3cosPMng9N+zP2FGrDspBJEWgRHP/Huoop rWz3hDY8Wt6qJojUT9e+C7JRrtbrVwxSe+h6U4R3qhEKNDj1CLtQC6vxRb0wTF4C8GfKAXIKW1jx e8DN1bBOtNRwvHY3yOdbtuBd7kNqQ6Hh6JySmbi5fWy0mwtXRoiylHlPmI9z+7ty9y1o1QfNm7Rw rDxL6NwQ7OeqIKRM0Tz4El7ZT6Hc0NBjMeczdzBo+969i8nIIE1ZG0ABGqwISBUbJftjOoP2GW2s DhYuUnOO3NQVv9tJ89qpMhkf0lSKspCXf6g4KVVZUICtK918PZ0WGUiNHocNBXYBjV7GrhVtcRds ZQMhLbgRfGZQWU1FyhZWzJ9B02AwCbB2h9Hrc3BcIKNE1AE4yPzbsOBGb5wwMjbOdjqVAQ9mz1Sw kp9POJbQONtxz5qO19zY+9aNpoJKLtjnetuUQFgXW6IgV7TBCz3cQDgdv4OFc81NiJY9FjEKgx62 Dv69jQS70vaOwTxdwD8B9Du06Fw8IgHIdbWWVfbeOHY8q+RJF0fXdJF0Hiyg6wkIzNU+KhU/iRET +H8DiJSkbsulpnFGpdzVAK3gRgDei3idbUkpSltBYJbUMisdtYHaSwt64jUsZa1YNPQ9StsCjNeS 0ZM7KGzW9jNnB4spC+75zNGiI+aEdbhPAH0vkW66nJdDRE5aoOmossKmDBievr18uDbOqu40Jjpd j32u4+1uJVpzmcq0MVr6ie4RDxebUbJiEZ8q+PX/WmPR7CybfFnzVnGXOoHX4ODUm0iMLDKVMpIa pTEGY4/hytgphdSXEQFycZ2Y5dv9d0e3O62yYoq6pTo4MIAoZ3ruPGO7hH/G04WTPv1rJe9//sX1 0KYpUREQhaU4NXO9Ti3liWTykpBiB7U7Z3tgbczTpCmigJlCNdA9RMdxADyep4JUrEGK/wln5dMQ cL5OQ60zojjsU342ouNDbBq75gwcxOShprlaN9qHCiPRNaYd3J5ElYRTKIeaqgbfxi7aStstMAch in2KnnY5LceVDBJ1MS1UXJLXRG5iPsiMYWsUwE9EKL4JUBuYzrFRNZpq6iS4NQPwsYANGbIWW6kv bKeWbVDdrvxzLlSlRRTYON5Tm5NsbPoPd1aHQKyqKKNUznTOkKa31NG/26cq2gRwTrZIp1hoGgur ClfXqbfl2JAmsVC8wa71MpsHhLWFNj474uPvHI6d0TDfpzZiVGB1m7Uh6lBOcVUnOCWnOwLcg86G mC1dL33qyjqKV2wojm7Y0Lpq75/jKb4RTPDTxUebMYZPjjIMyU55rukgs26i3UHmfUY9OqpKG3tC ixoG0APKY7VAiVr4LDfOBQu/KZhrnQH4GNTBPuO0nf8d90Ipe3QU94A824hsfp8Vgk85aodBICrw NeARpoMl4ctQ69J7Zf7cFOH9QPT6HZ0rC9WalvrzQ5rrCH7/oK7PxQn/GL3h+fqA+h50+DlGrJNF avw+Y3n1aNBVjlRAJGg6v6fMRU+IkOceKyUFjz6ed4/ggHRJZCDBdMVp1aZL203ASgxd8eBcHWa1 Ij4HtQjWuM4M23XTlBLObtPBaK6B4fhq7yDzPtOujSpJHzz5rPgMahif2fP5QTBpYCAY6QX+YJEi hXr5hw5Df+ZZeO0M9ShyiclHmmSPhlavb6oANN1JA4+Z1drCSdh0N1Gzo/q18XGhHpOna+5TPE+s FVWq3h590UHrSLJ8rcX/cLv975gsV8w+fWnQ7gO2C4XsjYiCQhc+t3W8TufD336dGhVv1oyzfYBI M6AUfajA3S4WKBEnnN1qsVAF7R5wI8+CqFydJGQGubWS1s3RlXjxs+iZi9RrJnJOuL1HauhWeCtF Js861TfaIL6++B3+LLr11i0DAPXpx3fjufJB55XWWj4RaWkX6pmOEZAV5AbN+2lUcMBDDgT7fj1H n4fz+hZ/FXOAxOwhmphw4xaZzgViyNnraXD8uDfHJbU7iW2QK6OhStOpJtJuGbGBxmxB59oaAN8X La5NYEHZSVWX0WdoB4XqnFq34NNHTTHNOKGwK9xw/HfVyeN3cJgRuIvPOFET4zsF3z7GgDBc3poB vWuH5WG7L3I6LRdX6LMomoHa/WIGFzNH2KdaEMYK0RlGoxU+YbrZVEmkL51u8/2oedjJ3Obf4vxe rghsTzHOQrDjHRkYlWlXi5gPm4i1uhBKz0i5NgeN06E4ap2iGK2FzznA5WY8pw3+9GijvT68pucR neKCcnVQJsHuOKRDgqwe+TmkA8Kju4ejiiu0BHUv0AVktEhG34SOBAfCoUOaEWI84Xs8R2fVB+eb kgy0Alcrppf7BrTzZg+qhN2YqKNu7rDa5sPAHHOAYk9vznVFbl8LOerDwl4f8e4Xakf7TvhD5nU7 8rP3GItp0ooib3Qk279L5tLAKJZRAzFWhzauqY+1C/Fs6wP4as4FvF+MoHAPtsngLFWZR4GGhLu0 nAlFLt7fGwgDIkVE3HBCzla61bQx5+XPjMBQOB6uHSDq8V3gsJ8cXALNvaNOZvRD7e/xrqJzcF1s asKbJX7YnYiyNuupPutgayAyTgGEuc4KAF4DWwOXZeSNcORaT7wN1urLOCwHQcJU72zSXepIQxRL fS7vsTwtYQRR1cS8nNsw4KLA+IyF4F3v2dHQruW2u5CdnYGspAAVkpkU3FcmwOEF7FaRvxPGq0Jt Z8FN5KBVL4DjvWnbH+14DDo/SdSa7Ws/P4U+gP7ZOpFkhEXRXfX5RDDUuz/94ecBGpHVNooDBgow SJxu2WvEEot4xEg5O6X6daqfBrB6wcjCU1yke13qjIGNUp3DYKq/v6nncQCeeK0lU3M4TwrtGkki sYEjmsd1G90VbU4CE7/oCDT1aENPi8teIyIGzObhdNJuGLpx54tyetTjUlxdHZ87TYBSD/LH28ZD ylHNn1jjwQYFKR+iQx4SybThvzq1cRpxEhSxK6UX2WgjakOAhdos1zTnQAvdUzsWczmsrvePaBAO i+klHPCRcg03FRzozGphZHed9YsYLdKDo0VdR7msVMHn0mmQcvgbD1qX76rxAoapdzjzB955G6i7 XK3UgVNncxxp4KgdFozYLIxXvEOfzdKIK5uTvqnOoG5QtrU9HeKQsc679eUi+mBOVTxNmEa1ay17 r82FGWyc5ejs2BY+RySsrd2PxUiOfm18YPPwtIUqbxRqN+kg+2nEKM1BwB8OGwNsHq19+DWQo3wT zUym0qRqEgdH2QA8PYWz0frX6eewV57N6Kk5u0h++QHeacfvdyiKjq8dNq2rZQ3MYXYGRfJu2tlO sRsW4VZWg4CBB8CIHNcoHZanMlg4G/rguNNp1btYf6TdjJqId4wgAe/kZbw+FCMH7Bb5mAk2zq54 bVMrw2I1hk6VgddRlz4dQE/rtBSiC9hb/vx8A15ic6gj/CgO0bCfhpGlxECRm4oviOvC03UPbhbM G7aYG4jLSjC2sybrhAtQOLC4/azbSki60bQr6mula3TU1PRaAqaOP7uktRsIp75Ln4OCgYFxUyGO TBkpetQ7NzKRwcFhejQh8Ozw3BG1sqFjEytjKLyP0mHRcNrOZwoENAK2LpCC5uT5TGSFboyNcrAz ZimDDwQfmws81/y0J9K5xeboSjGKrVKlEjgcrx3R+ZxxKYxcjKTNHQLrh8baiuhJmVEriUXTza17 tgYDeNv53F+et6KGLmMkPn60+/cc/BZ0HUvW9TgQbgXgBsLA4rgWjSH0i8YDMVaIzJhimR5iB3S4 g09//v57MyjdV0+wrykmTBsSUzRajkSRqM2hHjgz6hrcN4auu7B6bH/Yfme19SNQFDe9BqTHIPab MUfe4LduSd80WoflUVaOzdvhBPI/5/D7uPk4DU5pOCU/VUKnWrbT8GIvC3gb1IDonKBBGCl+CSyq YUhGhUY995PXgSFlTcU+CrAS+/TtmzrJ9ZqpwRTI+dYp68Vbjc400gF4lc7FBmRPynuR6+njf1NB Wu3fJ85CkKY67jNRhod8pc+EQ9GmKIT/BpgFMFbYm3BCSG1PgTz1sIiI92J0yaFjjdouZfgO3D/r fEckuxT6sWwiwcgObjD8ctA/7u5Yfdby8H9XGAq44nFN3//5D/498Girt7eGvghro4s8/V05LJqn RB0BoXxxZ25ixeVojQCnuXND+XW0u2mXNLa6Cy2++/C0tp7PmIE7ZJjbg1jFkfpbGx1OObefQFpv Okwe7XBUx/9+Nm1SagAUYYiW9oFJfTZwX52MMAPUkwpTj7aNgWib2owAh/rnOrWMRXXoFvJ3MRiN VB4pZWHTAUcoehxrxd8nB3+qTKmXIv6zd3pqzTqwuM2QEEJHYT5jyQK6hfsG0x2l7jUvfx4aZAV7 a6JKxxMp/KRVyyLLCthNLShQ7n6UDCb8b9eMtkbtsDQ075Hx9Gyg+GJw3AksuqAydBdTwORm6FUV gKstDvXPm0Y3eP27i02pWTYwA++8cr4PUQ6d906h2K4Njsz1CEsTEYVzWS9ALAcUer0BeVpXisV+ OChX8QnRcNFl6anZ5jrUkUWhvqMPpHaNfmPUFPM5BwlsGLBxhzjdW2ksoxirEzkYuEtTo69RzZuQ CnuOp9LWVuYQ2GHCCNgK8bvrX0VuNqSIFSbSt6gU7ed8PtXqpj6Q3r7fdjmm/T7oFCFh9wlQ8i/l sGgKBD/+I+1IrGM05pEAUb1WD0g89btxcZG1Kxug1jm2MxDwh6xRkUFxXamLQYbnz85rQ4g2IUzh 6HNqHxq+ShkhcjqPRoMP3FlW5/BU0Yvm+WLJf8IwIkLQp+GfSBoIbit3jMY4gZoUHdxEN7bSw0y7 z5q26IPzNfBqqV7fMf5y61oy/ZrFxHep+jUolo2qeKCNyedjoFGP6g59Lh030r/I0j9L21VDMqO4 bmMG0nK9Rnc2dEq5DlA3P+psHOQWCzrVZvHfEe35QDZqjP4713Bao3ZYepp3Q8n5YE5f2AJOiOff fgwm/T2UkblhEhMvNXt56YUv6oIh8+ihhLNC14njMwpFQN3n6bcfzQJ0alznMPN6Hgee3xdKExQE W7Je7ToknAxSByqwWJTAjWYjQ14P8U4lGhys2/DE/0bn6ewPfQfjfdxl+fP1NMK/Ge8SUrTgfrAh OUMJBgXONb4cHP3pY6olqfdSIVo9cFAqt5cKe4TEpWwibZ9u8KjnUFbAiNeolhvqatdfWCtnlgqy 9ptj9bUA+BGpgWwk7W4dFsxlrLBwDkkZecu2K2+3n/z4XA4Lj8xZ+XgIIh0U2odKUZkemYoNnLRy UOloC+5+MgUjrFI2N108XpDWLbYgI1b3QVeNxW5LTXZrPqR6sWLx1j1YXYWRhf2VKzuH31QWTTeU DkwTHDvtz5fedCy7rAsy1W43M1C7IWTCOrdoALBeNwAZoIqgxnTerF3ueceEuyD9q1PFitlg/VZ9 9cS9ke+9KFVKzrjFEJUhgiRo9xNZBb6bZI/QEGCKX/LAu9R+Gr3D4mawQV4/DXY3LzYiFlNXxLCn WRz+HNmsVJuihqG6AQtRg8GCO9ccp8bUbTbV6Xt+j4J0G96nPcSHXrCNdp69QzFkqie8p3hIuzak hArP2IWlaPqntSzWZ/Qv9TOtre4EfB59kTooOcNxeyH0wOZmtGFdSZ+n2yXE47MyB6WIfMWHfeYw 8ZoRqF8im8ncdYLqcHXwPAjw/rQJ4qNEXcynGwiZsXoXHgmR7j2UiY7dB3CJNZxWmnWWZvslHVaD +nYSM5tx8kWi4S5yeM2tDy1ILxJ6l4OLZYSzUjRDIDsCnZxJXGCfcFj8DFVZbneV2kO/6Ox5V6kd XZELCvNmB9IpnUyICTTUwe9wq0vlgNKPv6Nza02KtVNfIaljBOS8zud4WtQnsmlmFveWnO3ZWAPg qEScTyPMZircYTQ1jBLNufZFxwc7qkeaJu6JBk1RPbSBbUJeLI3u5BjAPGoHEqJqh7MM2eFT5lgA nPWg3ccCMYSNdMduG1+iLW7yZSFUJ7jQSPXRVj9y0jUil0yHtOCZDEBxO4i1EMhN8RJta8MywUje 1kLZn2Mb/qjJcRGPFlp8Q4+rmK2tNHHndx3kysFhzAKCT+rtne+GIhTldpTl8lSUuN9lTPDRI4uE n398N1Codu56sV768zXkfCNI0boXd1gEHZ8acULtBoV/cM1D6WgJkYyYaVAX9e5dw/cB+Ip37F3h Q+j1wNJb1hXR1SNouEuBVyNhEGS6Wo4rWA1pnq0AjzcPXyQ+JxreY+1m2pdwWDAyPc7nXOBYuIXg 5cbsfKD2cggJz7Y5lFfiWJ5//GhO8jGMGcC8LY2FxFRtX6SB1Moiw3N07xRqYJvhSFSJ4WEvhgPZ 7OowjgM69sywkWYYHgZ6uwSoUzc2nBdMcV87aSEK2yQGVDbRELLpkLtfLPnfyd+EDpoVeCHNjpSj SrQu1uUd0pkiMkrAO7WQlY02udCGP5++HcCwNTzMkoSlaufM3mlzwgChSE2PRCYh5hwhj+ag0ROf jcOGeDIfnfoEVvGUeZfXpcTO4nfbMR9DIibxKzmsdgGSpPyF0tbyxHQA3o5xs1ttQou8lQp4jqTI 7shil+RCJ0sBehtpKm8QOFojREeO0AFlWOjyHYQuONboyH0zXaxBoKcDyBR6mCh49FRdwrFBTvcc lNZ6R3QWo661p6BshXvyaiF6fl9sKbQ0ZIROeBfFUsUKBaAD7ZgaKjOBIt61sK5RF58r/t1YOfse Yj48HCeIYI1jqucsY/sa4fQoNnEk8g+B6I81/e4y7O3iqshILums3DjuZWrj52YEroGIw7OdcXw5 h9Us5hYGhKC5Q7pz7IKhVa54o+aF2eDorQvumkKZim6sKtAcSWmxkOJ/elTVtMEthaFIaoth9Lhp FafrPGOeqbw7oKFeHD6J0UE0k0ykWGRSFCUhAM2UwgF8nH+n0mMrEWECBPueTe/XkUGX0AgTu9RJ /DuaCM+cOCPITMGwk28v59MD2ZrkWI+Ba/vCZEivk6GxUBy/l1DXCpsxFpnjdw8Z9RlJv30limOb egBujA2XnnUsJR5AQKLXTX4zH0j/ig5rA6xUDiRseKRL+wznKE68trwRFhJpUcBuecMJ9Kae4pQs LeVgFVPYqBnvGue9THWoabEfcFraHHP07WmcGtOlUB0GU0ObzzyWSrYNDiU19lTnfgfOiEPb+0ZI nN/dak3U1TuQmuk7REqkYFLqNJ5TJ3HurumMNVA4r8+uBf/95dubMkjs6fgd/X2jhsZm7RQxzrX4 j4mCCNHrgWs/hdEa2pC+o3TDtN5orrsaD2J0Gq18MTeQcdu+pMOC4YZefvuNnS3Pmz+248G8kMrL bz+2EOxEDhNJrjTMt7ImZLZIgZxbeoFHf8/Vk7HAwfwJp3JQlLbFO9V1JtOZTPHHZwR73JSO18Q6 ygP8VJkrRc9uTcPhBADw6vfMNNUBzxiUYfY8Bp2jm7OwWwZaxzzX0SB1dZT5EIO8Wsd70lQmECoc df7dVrp+KpUKqK6eNBE5opFDg9oqS3/Fmq2l+Vqu2XD5nzKy2L6/8xDiLO+BA+TLOiyvH7g8N7iM NhGENrC9EIop/LanZndqpWhqRXBvSAK1lW4zcme+aN/wOC11NlDZPNuf1RR5+QvNX3a9+eZzVc1G mQsObRD93u3NQMYDk3D6EHgFG36uLqlg21TCPSAVikNI+D4415cplquFnkda71EivldpV3TDH2qk aA1PsWNezzrHFCazDfP4jPk7gSN0FHkfEKUfXqRTOvXcA6WT1oI0KHg+jtW0D6hrZxK63wJmP8c4 u7S8ofUqF8k4JvrxZR2WmwuztnnddfATbLKWbuz8jrfUm7a2sSNwYfGHtdjnqGfnjPKWshcFQT6H FJP8TfZ8fbzEh4bZpXHamz2gQL3s8wqUbE+zS6XOMaXYg9Wb2hGDOTgCQMnBpPeL31GBCCVL9Htw wdRmwLiDNYR6qFsYxopYLGNnhcMCuhrRQPNW+FzwLrBI9Xuca9xFWQ+lMrg2UA+5ek7fCMmju0k0 7GAzmStwbXwnhZTHsF271+T/r+M6iKypUVgm4dgn/22Hi5yr8/kZa3QgDYbSGOqHdpA1ArWtPXmK 9+7LOywYZ6H8lLRaSJsGAxuw7RDac1DufFSKW38GC00/akPrQsR1M1unen98+MzR1ak5mtzR3ejm YLTEnViDoUG3ko7MOYrO5+n2e3EIgoNsXYaLG961D815akFffwbXiO4bupPn1jmcERX1Bzgn1gpt 4UEuqz0Qiuip+W7o5e3wZlEEwRzpBnT68boUqAmwoo6E7JuAOGQOxm0wSQNHH6zbWcmhLXBx9JoA 7Mw3B90hc1qedu0P71fprcENtrmfhq31Bs0lsucudejd1ZbsgpsBe2fgQFreNRL9JRzWltnANF8a nAZGBoxOZV+Eo1Lw0cnNiJqJ43V8Y+DkQLSyfP1pdB86DY+aj6cpk5nxOFnISyjDes2ifhK5LgAA BgpJREFUZOPYesuZbZufTL7JMe/muCeS4ZGvXa8/manYqi9iOGsliDMdwL5Oq6UehCiNWLLWc1bF npXUdcG5wy6LEs8VKbtTlxza8P48cW9wul06UnyfLCG8yezbC7ualzDyw1dRM052ih4Ic4I4BJtJ jD1NlBprJ8v4vlQxunXQVVzlPBhcjQfv/en7t5sQ7fn74np8f29AwJRyI+//XKZPAOr2u7Zfz2Ht s08oQjOkJhPBSzMbp7QnlsbUNaMUdCPxM+0OH8wHf/HiFj9/Nl1BLCScLux8DVTwRa3ARSkc48Vx mSThELVzoLP1brxP6MoFTygUpwzV+6SBMGwg8n5bI2DX4SkKHvxSBdPDLlqTjiYnPgvwDdv0H+bs CADVlPxU3QvmkxLYyHM47b4Uwz3MZyq9JHDM1LmUEgMrZlqPiMw9UuahBq77LOPfUcl79x3ZyI3+ 701ZRAkWr++wvOGFGiXqrATptogwNbLtf12/tsOic1BKXa/VnPcxpq5iBXnlR9rUJbggrFbwYcO2 BCyJGTOMziXUdL1oi0jDmTrJZUWa4InEZSVFrKq+/O8WLRJQKSaQWlZbuJdD5pFAE9YfcHReiPZx G2LfbNaQeBsD9nrq0kA7bBwLBvQ8IRzWvNjHx66Nh23xjva1NnzvzoJ6aTXjdnf2wI+4wAmiK6TS 8VSf4Wbuz6t9ev2BPcv2cxqj6RxpqhxbT08Ntc0QtcJf2mH5C27k0j+Zy3sKKdEelPeRz26T2l3D fIMi5JjO5htaFqYZGmlwUxgTgV9fQ6NLbb7NUO/ejW0RnEeQxxajp6su3OnsDHBWzt3uNL4uhOrR IuhmlDUUTAUWcbRAmYqwR/SRKliRsmyTHUZNRJWYENDC7rnCHeeY1xD3NVW8y4n5SwjOeoS6xfDZ UhePOxSlb2rO4MuDDE5qxlIDyh/EHD4c1mljjtwDg/TlrZG/MkaKHQ4ph1OoTNh225s84TZgDJgI xGz3SjxxYWrHUSl1j5yctfGX2/9++/NvmUzBBT5v8DbKYKpAWCx4DOmqU9nUY3x0BQ4P2K7dYjki WAfUtgn2cI2ohSFlxJAxUuCrOSubEUS0FIQ2/6j/gf+dqV+a8roO4Y5cfuvWUxm7to/dV6PugrO7 s2/fmMazgWWNpvCIxmRXG7G7HmoYUxkIUJS8ByN/d9MBiw6PA+3QvbgBNR2a6ICr5qA1D/SyG9vS hVK9nCLHA2oZCjecL4xCYuLgRJmm+iZFNEf2TG0QECOHUxkdVENOq/SXbnIwG6B5MGmJW5CiBdTL 6FZad9H55V1NWzmh9os2XMKouP3yrAyqFHhQUGTjfKwIfYlO5aWN9SmSYG466h7Bzs0Bw1A6ef7+ baNx+Mko8Zd2WDAvRLKSMCQ3+hjMB5vtJG4wYs7McAz9HB2AAbRI9Fgob3U4PT305sMx0Vo4xSJL pUR0AYCvYYRU5EJTwWbh8js5LKUAWLA2JJtp/3YxfwKaGxD/kc9cmwQeUXmtDFEYB7etEK1c5dqt RW0FUeQ11F58ppD3Y/z5wCVx5MmEPPBsMa3RUECPMOUrTZSkPTakwGJgGXUKgg4ZjCNgaN2Rg8P7 RxNFYUb6GedSko/v6VzAtJunD34UHFiftKYG1Urr6EiMqJBKLM7iecAoanCirtAAWw1T1KZO0RMV IMWP3+LdSC/8Izry0RHWsiqczBr97KY6pyIgLn5ES1YD0yFwm3c0p03ONOsqouniSj0wYu4Y9Ukz lnPRQ8xqbCJAwCuQko2GlsYlOmmIWFCgJmfVSArqta8na660c2ntXOrz43sEG6ynrh8ICDc1XkBK 2KVuyZb1sbtwWK7eDBDjV3ZYG5UTZTYgg6iT3hnRnrJSgECvlDLScL2NHXPOIhSpnfXzkGkqBdiA KtsQkmD/bROdbKfaziThnaHdkSR3YCToA9B0BwbSxRz2ANYNOABuJoNLKE88+K/0u9s4H+9UAS9H 4G+L+PEaKRm7w8bBRcxclksWhY1YLS4BEcq1UlY5Yu6sUGPDK+b86oHhdYqQAGICx3zkOdJp1TXn X5uUseeB8f8DnzVnSVFLKvQAAAAASUVORK5CYII=