20240917 13581600 1.0 FALSE PB_UBS 002 file://\\TECNOTE01\C$\Users\tecno\OneDrive - TECGEO - TECNOLOGIA EM GEOPROCESSAMENTO LTDA\PRJT CODATA\DADOS CODATA\Geoportal de Dados\DADOS FEDERAIS\01 - SAÚDE\SHP_GEODATABASE\PB_Saúde.gdb Local Area Network 0.000 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) <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/3.3.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> WGS_1984_Web_Mercator_Auxiliary_Sphere FeatureClassToFeatureClass C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp C:\Users\harlansilva\git\observatorio_pb\05_indicadoresFinais\indicadores_calculados.gdb municipios_pb # "cod_municipio "cod_municipio" true true false 7 Text 0 0 ,First,#,C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp,CD_MUN,-1,-1;nm_municipio "nm_municipio" true true false 50 Text 0 0 ,First,#,C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp,NM_MUN,-1,-1;sigla_uf "sigla_uf" true true false 2 Text 0 0 ,First,#,C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp,SIGLA_UF,-1,-1;area_km2 "area_km2" true true false 12 Float 0 0 ,First,#,C:\Users\harlansilva\git\observatorio_pb\02_baseDeDados\00_geo_limitesMunicipais\PB_Municipios_2022\PB_Municipios_2022.shp,AREA_KM2,-1,-1" # UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.3.0'><WorkspaceConnectionString>DATABASE=C:\Users\harlansilva\git\observatorio_pb\05_indicadoresFinais\indicadores_calculados.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>municipios_pb</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>cod_municipio_int</field_name><field_type>LONG</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> AddField municipios_pb qtd_eleitores LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb dens_demografica_km2_hab DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb bioma TEXT # # 100 # NULLABLE NON_REQUIRED # AddField municipios_pb tx_crescimento_demografico_10_22 DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb nivel_hierarquico_rede_urbana TEXT # # 100 # NULLABLE NON_REQUIRED # AddField municipios_pb nm_arranjo_populacional TEXT # # 100 # NULLABLE NON_REQUIRED # AddField municipios_pb nm_regImediata TEXT # # 100 # NULLABLE NON_REQUIRED # AddField municipios_pb nm_regIntermediaria TEXT # # 100 # NULLABLE NON_REQUIRED # AddField municipios_pb idhm_2010 DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb dens_demografica_km2_hab DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_homens DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_mulheres DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_branca DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_preta DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_amarela DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_parda DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_indigena DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_0_6_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_7_10_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_11_14_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_15_19_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_20_29_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_30_49_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_50_64_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_acima_65_anos DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb tx_nao_alfabetizadas DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_quilombola_dentro_territorios LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_quilombola_fora_territorios LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_quilombola_total LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_indigena_dentro_terras LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_indigena_fora_terras LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb pop_indigena_total LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb total_domicilios_particulares LONG # # # # NULLABLE NON_REQUIRED # AddField municipios_pb dom_agua_RedeGeral DOUBLE # # # # NULLABLE NON_REQUIRED # AddField municipios_pb dom_esgoto_Rede DOUBLE # # # # NULLABLE NON_REQUIRED # ExportFeatures municipios_pb "C:\Users\tecno\OneDrive - TECGEO - TECNOLOGIA EM GEOPROCESSAMENTO LTDA\PRJT CODATA\DADOS CODATA\Geoportal de Dados\DADOS FEDERAIS\paraiba_shape.shp" # NOT_USE_ALIAS "cod_municipio "cod_municipio" true true false 7 Text 0 0,First,#,municipios_pb,cod_municipio,0,6;nm_municipio "nm_municipio" true true false 50 Text 0 0,First,#,municipios_pb,nm_municipio,0,49;sigla_uf "sigla_uf" true true false 2 Text 0 0,First,#,municipios_pb,sigla_uf,0,1;area_km2 "area_km2" true true false 4 Float 0 0,First,#,municipios_pb,area_km2,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,municipios_pb,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,municipios_pb,Shape_Area,-1,-1;pop_residente_2022 "pop_residente_2022" true true false 4 Long 0 0,First,#,municipios_pb,pop_residente_2022,-1,-1;qtd_eleitores "qtd_eleitores" true true false 4 Long 0 0,First,#,municipios_pb,qtd_eleitores,-1,-1;bioma "bioma" true true false 100 Text 0 0,First,#,municipios_pb,bioma,0,99;tx_crescimento_demografico_10_22 "tx_crescimento_demografico_10_22" true true false 8 Double 0 0,First,#,municipios_pb,tx_crescimento_demografico_10_22,-1,-1;nivel_hierarquico_rede_urbana "nivel_hierarquico_rede_urbana" true true false 100 Text 0 0,First,#,municipios_pb,nivel_hierarquico_rede_urbana,0,99;nm_arranjo_populacional "nm_arranjo_populacional" true true false 100 Text 0 0,First,#,municipios_pb,nm_arranjo_populacional,0,99;nm_regImediata "nm_regImediata" true true false 100 Text 0 0,First,#,municipios_pb,nm_regImediata,0,99;nm_regIntermediaria "nm_regIntermediaria" true true false 100 Text 0 0,First,#,municipios_pb,nm_regIntermediaria,0,99;idhm_2010 "idhm_2010" true true false 8 Double 0 0,First,#,municipios_pb,idhm_2010,-1,-1;dens_demografica "dens_demografica" true true false 8 Double 0 0,First,#,municipios_pb,dens_demografica,-1,-1;pop_homens "pop_homens" true true false 8 Double 0 0,First,#,municipios_pb,pop_homens,-1,-1;pop_mulheres "pop_mulheres" true true false 8 Double 0 0,First,#,municipios_pb,pop_mulheres,-1,-1;pop_branca "pop_branca" true true false 8 Double 0 0,First,#,municipios_pb,pop_branca,-1,-1;pop_preta "pop_preta" true true false 8 Double 0 0,First,#,municipios_pb,pop_preta,-1,-1;pop_amarela "pop_amarela" true true false 8 Double 0 0,First,#,municipios_pb,pop_amarela,-1,-1;pop_parda "pop_parda" true true false 8 Double 0 0,First,#,municipios_pb,pop_parda,-1,-1;pop_indigena "pop_indigena" true true false 8 Double 0 0,First,#,municipios_pb,pop_indigena,-1,-1;pop_0_6_anos "pop_0_6_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_0_6_anos,-1,-1;pop_7_10_anos "pop_7_10_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_7_10_anos,-1,-1;pop_11_14_anos "pop_11_14_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_11_14_anos,-1,-1;pop_15_19_anos "pop_15_19_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_15_19_anos,-1,-1;pop_20_29_anos "pop_20_29_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_20_29_anos,-1,-1;pop_30_49_anos "pop_30_49_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_30_49_anos,-1,-1;pop_50_64_anos "pop_50_64_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_50_64_anos,-1,-1;pop_acima_65_anos "pop_acima_65_anos" true true false 8 Double 0 0,First,#,municipios_pb,pop_acima_65_anos,-1,-1;tx_nao_alfabetizadas "tx_nao_alfabetizadas" true true false 8 Double 0 0,First,#,municipios_pb,tx_nao_alfabetizadas,-1,-1;pop_quilombola_dentro_territorios "pop_quilombola_dentro_territorios" true true false 4 Long 0 0,First,#,municipios_pb,pop_quilombola_dentro_territorios,-1,-1;pop_quilombola_fora_territorios "pop_quilombola_fora_territorios" true true false 4 Long 0 0,First,#,municipios_pb,pop_quilombola_fora_territorios,-1,-1;pop_quilombola_total "pop_quilombola_total" true true false 4 Long 0 0,First,#,municipios_pb,pop_quilombola_total,-1,-1;pop_indigena_dentro_terras "pop_indigena_dentro_terras" true true false 4 Long 0 0,First,#,municipios_pb,pop_indigena_dentro_terras,-1,-1;pop_indigena_fora_terras "pop_indigena_fora_terras" true true false 4 Long 0 0,First,#,municipios_pb,pop_indigena_fora_terras,-1,-1;pop_indigena_total "pop_indigena_total" true true false 4 Long 0 0,First,#,municipios_pb,pop_indigena_total,-1,-1;total_domicilios_particulares "total_domicilios_particulares" true true false 4 Long 0 0,First,#,municipios_pb,total_domicilios_particulares,-1,-1;dom_agua_RedeGeral "dom_agua_RedeGeral" true true false 8 Double 0 0,First,#,municipios_pb,dom_agua_RedeGeral,-1,-1;dom_esgoto_Rede "dom_esgoto_Rede" true true false 8 Double 0 0,First,#,municipios_pb,dom_esgoto_Rede,-1,-1;pib_per_capita_milRS_hab "pib_per_capita_milRS_hab" true true false 8 Double 0 0,First,#,municipios_pb,pib_per_capita_milRS_hab,-1,-1;pib_municipal "pib_municipal" true true false 4 Long 0 0,First,#,municipios_pb,pib_municipal,-1,-1;vab_Industria "vab_Industria" true true false 4 Long 0 0,First,#,municipios_pb,vab_Industria,-1,-1;vab_Industria_perc "vab_Industria_perc" true true false 8 Double 0 0,First,#,municipios_pb,vab_Industria_perc,-1,-1;vab_Agropecuaria "vab_Agropecuaria" true true false 4 Long 0 0,First,#,municipios_pb,vab_Agropecuaria,-1,-1;vab_Agropecuaria_perc "vab_Agropecuaria_perc" true true false 8 Double 0 0,First,#,municipios_pb,vab_Agropecuaria_perc,-1,-1;vab_Servicos "vab_Servicos" true true false 4 Long 0 0,First,#,municipios_pb,vab_Servicos,-1,-1;vab_Servicos_perc "vab_Servicos_perc" true true false 8 Double 0 0,First,#,municipios_pb,vab_Servicos_perc,-1,-1;vab_AdmPublica "vab_AdmPublica" true true false 4 Long 0 0,First,#,municipios_pb,vab_AdmPublica,-1,-1;vab_AdmPublica_perc "vab_AdmPublica_perc" true true false 8 Double 0 0,First,#,municipios_pb,vab_AdmPublica_perc,-1,-1;estab_religiosos "estab_religiosos" true true false 4 Long 0 0,First,#,municipios_pb,estab_religiosos,-1,-1;estab_Saude "estab_Saude" true true false 4 Long 0 0,First,#,municipios_pb,estab_Saude,-1,-1;estab_Educacao "estab_Educacao" true true false 4 Long 0 0,First,#,municipios_pb,estab_Educacao,-1,-1;escolas_Fund_publica "escolas_Fund_publica" true true false 4 Long 0 0,First,#,municipios_pb,escolas_Fund_publica,-1,-1;escolas_Fund_Privada "escolas_Fund_Privada" true true false 4 Long 0 0,First,#,municipios_pb,escolas_Fund_Privada,-1,-1;escolas_Fund_Total "escolas_Fund_Total" true true false 4 Long 0 0,First,#,municipios_pb,escolas_Fund_Total,-1,-1;escolas_Medio_Publica "escolas_Medio_Publica" true true false 4 Long 0 0,First,#,municipios_pb,escolas_Medio_Publica,-1,-1;escolas_Medio_Privada "escolas_Medio_Privada" true true false 4 Long 0 0,First,#,municipios_pb,escolas_Medio_Privada,-1,-1;escolas_Medio_Total "escolas_Medio_Total" true true false 4 Long 0 0,First,#,municipios_pb,escolas_Medio_Total,-1,-1;creche_Publica "creche_Publica" true true false 4 Long 0 0,First,#,municipios_pb,creche_Publica,-1,-1;creche_Privada "creche_Privada" true true false 4 Long 0 0,First,#,municipios_pb,creche_Privada,-1,-1;creche_Total "creche_Total" true true false 4 Long 0 0,First,#,municipios_pb,creche_Total,-1,-1;criancas_0a3_creche_perc "criancas_0a3_creche_perc" true true false 8 Double 0 0,First,#,municipios_pb,criancas_0a3_creche_perc,-1,-1;criancas_4a6_preEscola_perc "criancas_4a6_preEscola_perc" true true false 8 Double 0 0,First,#,municipios_pb,criancas_4a6_preEscola_perc,-1,-1;homicidios_total "homicidios_total" true true false 4 Long 0 0,First,#,municipios_pb,homicidios_total,-1,-1;homicidios_taxa "homicidios_taxa" true true false 8 Double 0 0,First,#,municipios_pb,homicidios_taxa,-1,-1;homicidios_jovens_total "homicidios_jovens_total" true true false 4 Long 0 0,First,#,municipios_pb,homicidios_jovens_total,-1,-1;homicidios_jovens_taxa "homicidios_jovens_taxa" true true false 8 Double 0 0,First,#,municipios_pb,homicidios_jovens_taxa,-1,-1;familias_CadUnico "familias_CadUnico" true true false 4 Long 0 0,First,#,municipios_pb,familias_CadUnico,-1,-1;familias_PBF "familias_PBF" true true false 4 Long 0 0,First,#,municipios_pb,familias_PBF,-1,-1;PBF_valorMedio_beneficio "PBF_valorMedio_beneficio" true true false 8 Double 0 0,First,#,municipios_pb,PBF_valorMedio_beneficio,-1,-1;familias_PBFnoCadUnico_perc "familias_PBFnoCadUnico_perc" true true false 8 Double 0 0,First,#,municipios_pb,familias_PBFnoCadUnico_perc,-1,-1;investPublico_perCapita "investPublico_perCapita" true true false 8 Double 0 0,First,#,municipios_pb,investPublico_perCapita,-1,-1;dens_AcessosInternet "dens_AcessosInternet" true true false 8 Double 0 0,First,#,municipios_pb,dens_AcessosInternet,-1,-1" # UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.3.0'><WorkspaceConnectionString>DATABASE=C:\Users\tecno\OneDrive - TECGEO - TECNOLOGIA EM GEOPROCESSAMENTO LTDA\PRJT CODATA\DADOS CODATA\Geoportal de Dados\DADOS FEDERAIS\03 - PARAÍBA</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>paraiba_shape.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>Shape_Leng</field_name><field_name>Shape_Area</field_name><field_name>bioma</field_name><field_name>nivel_hier</field_name><field_name>nm_arranjo</field_name><field_name>pop_branca</field_name><field_name>pop_preta</field_name><field_name>pop_amarel</field_name><field_name>pop_parda</field_name><field_name>pop_indige</field_name><field_name>pop_0_6_an</field_name><field_name>pop_7_10_a</field_name><field_name>pop_11_14_</field_name><field_name>pop_15_19_</field_name><field_name>pop_20_29_</field_name><field_name>pop_30_49_</field_name><field_name>pop_50_64_</field_name><field_name>pop_acima_</field_name><field_name>pop_quilom</field_name><field_name>pop_quil_1</field_name><field_name>pop_quil_2</field_name><field_name>pop_indi_1</field_name><field_name>pop_indi_2</field_name><field_name>pop_indi_3</field_name><field_name>total_domi</field_name><field_name>dom_agua_R</field_name><field_name>dom_esgoto</field_name><field_name>pib_per_ca</field_name><field_name>vab_Indust</field_name><field_name>vab_Indu_1</field_name><field_name>vab_Agrope</field_name><field_name>vab_Agro_1</field_name><field_name>vab_Servic</field_name><field_name>vab_Serv_1</field_name><field_name>vab_AdmPub</field_name><field_name>vab_AdmP_1</field_name><field_name>estab_reli</field_name><field_name>estab_Saud</field_name><field_name>criancas_0</field_name><field_name>criancas_4</field_name><field_name>homicidios</field_name><field_name>homicidi_1</field_name><field_name>homicidi_2</field_name><field_name>homicidi_3</field_name><field_name>familias_C</field_name><field_name>familias_P</field_name><field_name>PBF_valorM</field_name><field_name>familias_1</field_name><field_name>investPubl</field_name><field_name>dens_Acess</field_name></DeleteField></workflow></operationSequence> UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.3.0'><WorkspaceConnectionString>DATABASE=C:\Users\tecno\OneDrive - TECGEO - TECNOLOGIA EM GEOPROCESSAMENTO LTDA\PRJT CODATA\DADOS CODATA\Geoportal de Dados\DADOS FEDERAIS\03 - PARAÍBA</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>paraiba_shape.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>qtd_eleito</field_name><field_name>tx_crescim</field_name><field_name>idhm_2010</field_name><field_name>dens_demog</field_name><field_name>tx_nao_alf</field_name><field_name>pib_munici</field_name><field_name>estab_Educ</field_name><field_name>escolas_Fu</field_name><field_name>escolas__1</field_name><field_name>escolas__2</field_name><field_name>escolas_Me</field_name><field_name>escolas__3</field_name><field_name>escolas__4</field_name><field_name>creche_Pub</field_name><field_name>creche_Pri</field_name><field_name>creche_Tot</field_name></DeleteField></workflow></operationSequence> ExportFeatures paraiba_shape "C:\Users\tecno\OneDrive - TECGEO - TECNOLOGIA EM GEOPROCESSAMENTO LTDA\PRJT CODATA\DADOS CODATA\Geoportal de Dados\DADOS FEDERAIS\01 - SAÚDE\SHP_GEODATABASE\PB_UBS.shp" # NOT_USE_ALIAS "cod_munici "cod_munici" true true false 7 Text 0 0,First,#,paraiba_shape,paraiba_shape.cod_munici,0,6;nm_municip "nm_municip" true true false 50 Text 0 0,First,#,paraiba_shape,paraiba_shape.nm_municip,0,49;sigla_uf "sigla_uf" true true false 2 Text 0 0,First,#,paraiba_shape,paraiba_shape.sigla_uf,0,1;area_km2 "area_km2" true true false 13 Float 0 0,First,#,paraiba_shape,paraiba_shape.area_km2,-1,-1;pop_reside "pop_reside" true true false 10 Long 0 10,First,#,paraiba_shape,paraiba_shape.pop_reside,-1,-1;nm_regImed "nm_regImed" true true false 100 Text 0 0,First,#,paraiba_shape,paraiba_shape.nm_regImed,0,99;nm_regInte "nm_regInte" true true false 100 Text 0 0,First,#,paraiba_shape,paraiba_shape.nm_regInte,0,99;pop_homens "pop_homens" true true false 19 Double 0 0,First,#,paraiba_shape,paraiba_shape.pop_homens,-1,-1;pop_mulher "pop_mulher" true true false 19 Double 0 0,First,#,paraiba_shape,paraiba_shape.pop_mulher,-1,-1;CO_MUNICIPIO "CO_MUNICIPIO" true true false 8 Double 0 0,First,#,paraiba_shape,T_TIPOS_DE_UBS_2023$_.CO_MUNICIPIO,-1,-1;NO_MUNICIPIO "NO_MUNICIPIO" true true false 255 Text 0 0,First,#,paraiba_shape,T_TIPOS_DE_UBS_2023$_.NO_MUNICIPIO,0,254;QT_CENTROSAUDE "QT_CENTROSAUDE" true true false 8 Double 0 0,First,#,paraiba_shape,T_TIPOS_DE_UBS_2023$_.QT_CENTROSAUDE,-1,-1;QT_AMBULATORIO "QT_AMBULATORIO" true true false 8 Double 0 0,First,#,paraiba_shape,T_TIPOS_DE_UBS_2023$_.QT_AMBULATORIO,-1,-1;QT_CLINICA "QT_CLINICA" true true false 8 Double 0 0,First,#,paraiba_shape,T_TIPOS_DE_UBS_2023$_.QT_CLINICA,-1,-1;QT_NASF "QT_NASF" true true false 8 Double 0 0,First,#,paraiba_shape,T_TIPOS_DE_UBS_2023$_.QT_NASF,-1,-1;QT_POSTOSAUDE "QT_POSTOSAUDE" true true false 8 Double 0 0,First,#,paraiba_shape,T_TIPOS_DE_UBS_2023$_.QT_POSTOSAUDE,-1,-1;QT_PSF "QT_PSF" true true false 8 Double 0 0,First,#,paraiba_shape,T_TIPOS_DE_UBS_2023$_.QT_PSF,-1,-1;QT_UBS "QT_UBS" true true false 8 Double 0 0,First,#,paraiba_shape,T_TIPOS_DE_UBS_2023$_.QT_UBS,-1,-1;QT_USF "QT_USF" true true false 8 Double 0 0,First,#,paraiba_shape,T_TIPOS_DE_UBS_2023$_.QT_USF,-1,-1;ObjectID "ObjectID" false true false 4 Long 0 9,First,#,paraiba_shape,T_TIPOS_DE_UBS_2023$_.ObjectID,-1,-1" # UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.3.0'><WorkspaceConnectionString>DATABASE=C:\Users\tecno\OneDrive - TECGEO - TECNOLOGIA EM GEOPROCESSAMENTO LTDA\PRJT CODATA\DADOS CODATA\Geoportal de Dados\DADOS FEDERAIS\01 - SAÚDE\SHP_GEODATABASE</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>PB_UBS</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>CO_MUNICIP</field_name><field_name>NO_MUNICIP</field_name><field_name>ObjectID_1</field_name></DeleteField></workflow></operationSequence> CopyFeatures PB_UBS "C:\Users\tecno\OneDrive - TECGEO - TECNOLOGIA EM GEOPROCESSAMENTO LTDA\PRJT CODATA\DADOS CODATA\Geoportal de Dados\DADOS FEDERAIS\01 - SAÚDE\SHP_GEODATABASE\PB_Saúde.gdb\UBS\PB_UBS" # # # # AlterField "Centro de Saúde" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR AlterField "Centro de Saúde" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR AlterField "Centro de Saúde" pop_homens # "População Homens" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Centro de Saúde" QT_CENTROS # "Nº de Centros de Saúde" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Centro de Saúde" cod_munici # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR AlterField "Centro de Saúde" nm_municip # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR AlterField "Centro de Saúde" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR AlterField "Centro de Saúde" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR AlterField "Centro de Saúde" pop_reside # "População Residente 2022" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Centro de Saúde" nm_regImed # "Nome Região Imediata" Text 100 NULLABLE DO_NOT_CLEAR AlterField "Centro de Saúde" nm_regInte # "Nome Região Intermediária" Text 100 NULLABLE DO_NOT_CLEAR AlterField "Centro de Saúde" pop_homens # "População Homens" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Centro de Saúde" pop_mulher # "População Mulheres" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Centro de Saúde" QT_CENTROS # "Nº de Centros de Saúde" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField Ambulatório cod_munici # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR AlterField Ambulatório nm_municip # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR AlterField Ambulatório sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR AlterField Ambulatório area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR AlterField Ambulatório pop_reside # "População Residente 2022" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField Ambulatório nm_regImed # "Nome Região Imediata" Text 100 NULLABLE DO_NOT_CLEAR AlterField Ambulatório nm_regInte # "Nome Região Intermediária" Text 100 NULLABLE DO_NOT_CLEAR AlterField Ambulatório pop_homens # "População Homens" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField Ambulatório pop_mulher # "População Mulheres" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField Ambulatório QT_AMBULAT # "Nº de Ambulatório" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField Clínica cod_munici # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR AlterField Clínica nm_municip # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR AlterField Clínica sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR AlterField Clínica area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR AlterField Clínica pop_reside # "População Residente 2022" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField Clínica nm_regImed # "Nome Região Imediata" Text 100 NULLABLE DO_NOT_CLEAR AlterField Clínica nm_regInte # "Nome Região Intermediária" Text 100 NULLABLE DO_NOT_CLEAR AlterField Clínica pop_homens # "População Homens" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField Clínica pop_mulher # "População Mulheres" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField Clínica QT_CLINICA # "Nº de Clínica" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField NASF cod_munici # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR AlterField NASF nm_municip # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR AlterField NASF sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR AlterField NASF area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR AlterField NASF pop_reside # "População Residente 2022" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField NASF nm_regImed # "Nome Região Imediata" Text 100 NULLABLE DO_NOT_CLEAR AlterField NASF nm_regInte # "Nome Região Intermediária" Text 100 NULLABLE DO_NOT_CLEAR AlterField NASF pop_homens # "População Homens" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField NASF pop_mulher # "População Mulheres" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField NASF QT_NASF # "Nº de NASF" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Posto de Saúde" cod_munici # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR AlterField "Posto de Saúde" nm_municip # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR AlterField "Posto de Saúde" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR AlterField "Posto de Saúde" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR AlterField "Posto de Saúde" pop_reside # "População Residente 2022" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField "Posto de Saúde" nm_regImed # "Nome Região Imediata" Text 100 NULLABLE DO_NOT_CLEAR AlterField "Posto de Saúde" nm_regInte # "Nome Região Intermediária" Text 100 NULLABLE DO_NOT_CLEAR AlterField "Posto de Saúde" pop_homens # "População Homens" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Posto de Saúde" pop_mulher # "População Mulheres" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Posto de Saúde" QT_POSTOSA # "Nº de Posto de Saúde" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField PSF cod_munici # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR AlterField PSF nm_municip # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR AlterField PSF sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR AlterField PSF area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR AlterField PSF pop_reside # "População Residente 2022" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField PSF nm_regImed # "Nome Região Imediata" Text 100 NULLABLE DO_NOT_CLEAR AlterField PSF nm_regInte # "Nome Região Intermediária" Text 100 NULLABLE DO_NOT_CLEAR AlterField PSF pop_homens # "População Homens" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField PSF pop_mulher # "População Mulheres" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField PSF QT_PSF # "Nº de PSF" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField UBS cod_munici # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR AlterField UBS nm_municip # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR AlterField UBS sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR AlterField UBS area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR AlterField UBS pop_reside # "População Residente 2022" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField UBS nm_regImed # "Nome Região Imediata" Text 100 NULLABLE DO_NOT_CLEAR AlterField UBS nm_regInte # "Nome Região Intermediária" Text 100 NULLABLE DO_NOT_CLEAR AlterField UBS pop_homens # "População Homens" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField UBS pop_mulher # "População Mulheres" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField UBS QT_UBS # "Nº de UBS" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField USF cod_munici # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR AlterField USF nm_municip # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR AlterField USF sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR AlterField USF area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR AlterField USF pop_reside # "População Residente 2022" "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR AlterField USF nm_regImed # "Nome Região Imediata" Text 100 NULLABLE DO_NOT_CLEAR AlterField USF nm_regInte # "Nome Região Intermediária" Text 100 NULLABLE DO_NOT_CLEAR AlterField USF pop_homens # "População Homens" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField USF pop_mulher # "População Mulheres" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField USF QT_USF # "Nº de USF" "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR AlterField "Saúde UBS" cod_munici # "Código do Município" Text 7 NULLABLE DO_NOT_CLEAR AlterField "Saúde UBS" nm_municip # "Nome do Município" Text 50 NULLABLE DO_NOT_CLEAR AlterField "Saúde UBS" sigla_uf # "Sigla UF" Text 2 NULLABLE DO_NOT_CLEAR AlterField "Saúde UBS" area_km2 # "Área km²" "Float (32-bit floating point)" 4 NULLABLE DO_NOT_CLEAR 20241017 16525200 20241017 16525200 Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.3.2.52636 Posto de Saúde CODATA Saúde Saude Apresenta a quantidade total de estabelecimentos nomeados como postos de saúde no cadastro de unidades básicas de saúde no CNES. Fonte: Ministério da Saúde. Ano: 2023 File Geodatabase Feature Class 0.000 dataset EPSG 6.18.3(9.3.1.2) 0 Simple FALSE 0 TRUE FALSE PB_UBS Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. cod_munici cod_munici String 7 0 0 nm_municip nm_municip String 50 0 0 sigla_uf sigla_uf String 2 0 0 area_km2 area_km2 Single 4 0 0 pop_reside pop_reside Integer 4 0 0 nm_regImed nm_regImed String 100 0 0 nm_regInte nm_regInte String 100 0 0 pop_homens pop_homens Double 8 0 0 pop_mulher pop_mulher Double 8 0 0 QT_CENTROS QT_CENTROSAUDE Double 8 0 0 QT_AMBULAT QT_AMBULATORIO Double 8 0 0 QT_CLINICA QT_CLINICA Double 8 0 0 QT_NASF QT_NASF Double 8 0 0 QT_POSTOSA QT_POSTOSAUDE Double 8 0 0 QT_PSF QT_PSF Double 8 0 0 QT_UBS QT_UBS Double 8 0 0 QT_USF QT_USF Double 8 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. 20241017 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsvVmPJEmSJiZmbn67x33kUZlVXUfPgd0hZpaDxSzAR77xiU/8 oeQDwTcuSXAXix1wQe7O0d3VlVV5Z9x+H2bEJ5+IqppFRFZWn1W5rYWszPBwN7dDVVTkk08+KSY3 51VVVZJlmUiWSZ63ZLNZy6vn38jewbEMR7tSlRuZz+fSbhfSKjqSZ5lMpzfS6XQkk0zyVkvKshIc p90ppKy2kklLMsEhM6lEJM9y2Ww3st1spdVqybasJM9z/YN34Ov1fXkuGFVZ6s8Yem4Vjo+/Stls NtJqFZK3cn5I/5fp78qylKLdlqrkMe0AdsxKsjyT7XYr5baUVlHoscvtRi7P38lquZCTh0+k1cr1 u3AB+t1+GBHZlqV+nX6u5LXoNeoH4vDX/PPp79Nj4lVcz2ZTSlHwnvEe8Hr99NPPNI/jt4A/V7Xv 8/dsNlvem6KQPOfN3qw3slzxmei9aeWyaHXkqjWSVdaRj2XgToS5ZH9+bGNb8U99Fr3/ekpdD/Fz +BnT82MeRato60Kl4cj13xdnb/SX3W5XlvOZ5K1MMMfb7Q5Mixq1TqcrN1eXcnB0IpLlUlZrXRDz 6VTana4URRYNho5MF2bRgkHcStHGwsFiN+NU4bi28G3xYRGp0cADyjLZbjayLbe2qGEquTDX66Vk OYxmKevlQobj3bB4uW4rNbJqHNZbnK5+P45MwyJqAA+PH4afo7HSE1Qj58YURk//y8ywvWf4998y VGbM8AdGzw0uDIp/rmmoUsPYNKRVYpybxhMD577ZbmV6M+N9xZbSyiUvcukOe+F8+nku1XYjZ9uW VBnO66c/fqxGKh3Zb3A9WUZjldvf/vqHGL2f6ih0ouaZrNdrWS6udNGPxrvS6fbUU8lzGJNSttmG kxwTWipZrxbqEdB7ysLOPZlPpd3tqnHCDaVRotVp4d/6+dIWKcxfJtgUcNN12EL1Bes3370r9ehs oePcF8u5lJuNdPsD2W43uij59M1YmcGDB6hGB4s0b+lnacQqWG0Z7+6F12vGSo/Dk9HPuNHSa3Pv qVTjlU6VaFj0//xN8BSDRQzvw7G2GzOWNppeVc1Y+U2K79ZroTHiqcCLXC3Xsl5twrFaRUuKbk7P EIZX72X4iP68KxtZlZlcV13djP40fv8jcY4//DMS/7Zp9tFbrAJhDRZbFwaqKNRgYeG2220pKxoW 9X6ynk3sSmaTqaxXKxnvHgSDhM/BmAxHY13U+D0MHkNCLHgudiwiXyTRoCSLNyxiDyX5WNQo4pxg kJLFpaFmVaq3hxCvPxh4hBge3kbDuEo9Cv1uPR81RTSMOQxxUTMIbhDh/WmorB5VvHGlvze8Ur0/ ZLMwN567GSA3nPiTV7Jar6XTZqjaPJbfnxDiWphMw1nJdlPKYr7SUM+90E6vI+0ONh47bzNorYL3 gsepn3+3JXKcrSVfV3JVdqTKcG+wcWFz0zuRnBkNcDTwfxq/ydDnZZ7Sn8b9o5hNJ9JFCNfrq0FZ rZZSVTAK7WCE1BNS74OLvNvrSbfXtUWEXXwZDMpWDVKhHluni/fQIOFYOBTCwW6vEyY5FrGHfwwP 7W/z/LhGiTutVgsNRWFgPRzEdyuWBGM1HKm3FNZ6VanHBa8wa7VoGIKHE7GtZojGF3guajTdTePy rGFL/PuOhZp6QYkn5IY2vs28Lzt2xKLuw8OSP5mepGIXGKvVSsPm4Yibixp09WSTczVPU8Pyoh7y MdDl6GYih8VGZF3JrNzIblFKLy9lus3lZtuSteTSy0oZ5ltp56WsSpFZVSj2VcqfvLLfZLTgtWON ECb9oJHVNsCP3sGSYjAccSErjgTQvBP+XQXspkW8Ax4SDEyea3g3n091URSttmIh2L1hTPAZYlT2 Gp6CLhR6bG4YfLdX7MpwFXgCwaCEZID+YEaMhgfnAeO6Xq9ktLOrx9DFaQvVj81jRm+CR7LfqHeT h6ccwH17F382I6VJgqy++NM7aS/GCcNzoDkyL1MNQgTF09AOx+f9axg/N1IWHscwIFpNx+aqUqQ/ 6ErRdiMVPdckCuX9cY8pWt2Gf1RJJxc57myllK207bODViUHVSUlQnxggxrWY5FtZbTdyKJay3XZ loV0/hRO/sCRbkcfbHQyvjkAEh+5xSqwYH2JwrDQq4J9IS6jBsQWL3ApDILjjkMZCI3jZDRuGAgx 3Tui4THvqtuJ4ZZiQrawPeS57fzw83ku3V6/ZsBgNMc7exryeBjp4Sl+xN/wrt439FOOWDfCPN4X nFP0vO7I1TUO5oeybTL5tXubtfmExV9WvLfYMDQZ4JkgB/ftc3p+9Nj0X2aI8HuE2tho2u1u/frM wUszpjDg1ZbeZ9tA/vpn4n2AoYrPg4kRP8MU3G/rxlVJX0ppbxZyXlYyl96fwsTf88ju+PljtlmF ZtB0UXNRaopbXyMoC2xls16rAcOdUINU8j3IrHk2jjF4YzEago55DVwF2IwuFlt3CaxtoHU0Go7N pKEa3oOFydPNdMEBd0uxLw0/3VgBswoL/Q4vyP1o9er8LXxNMarUA7lrBGNsfpQbYrsfcTbVj5OC pfA615uNhdQRu/IsUBre8q/EuCdYWLzGxik2TtmTCrg32617vUYlSb6n9mn17txox8xqnTAQ791Q 96yVXFYic+n+KUT8PQLwOYOXEBbqE8J8/kjpDUUwFDZXQXMQKQmOWxyiYaJ5P/DIVpulUheQlStA i1itpNMxvCmhG2DR+4LZbEvpd9pxgdkijk4D31slHlnwIOyYOKfNZkXcpnYZPE96VpUaWPUGMlFj ADqGLzZflJwUMVCr8aXsfBzwD9+SGIqG88Rj3bO91Y6dHBPnC8/Ks6xpxs4+GI+d4mAN2gLAdnwn sEHe65Ust1M1MkXWlnaLuN+mXOvfRd5mCJhVyivTcDoYofrX87lY2HzrXiQksGTgvo+KUvLtSq6A bUlXNj8SXKuZvf0xjh/qJWUJfuXgPebi91FufoqjSL2A6GUgFPQQKwLDFVLvSiKdSqvd1pBwuZir kUuJeX4cxZoqkfVqLV01Vom3QzS75gGpgQuYkmNW9P78QzjGarXWl/qDcSCnMlkAusVKD40wcb2m 96CcLcsKBm/HF2MDAFfvKoRd5k04ChW4FtHY3jXl78K2gqFL/l5vyO0C1cIzsA40+X0J3lrDYPox NutSFrOlvq/XN7KnfQDPalutZb1dEFsst2q8CjwL42bhGEyU1GkZfvxIRqVnnGVKQokAr/2aCYMk yyqZDIpK2sC0NqVcbQtZZzCUf2DDhWuoNtLLttLLt9LJKwW3F2WmyYNVhnn54+Kb/VAzmqVe+0cO viOeShjlPpnIMldLHTAQGpLVfM5MneTq7YAVjwydvk8BefKrfACAf/HtC9k72JXdvR01QI6TYbFd nV/JwfGBem7EstzDsWViC55ZRuJo8OzynMRTTw4oxrZe6TnkRVtDUFAcAnPejI0bJUarcZE6xcB+ oKEMuFicBPrrMEGSz6YYV9Ow3HHjNSmAjxVIIqS/cU8Qf0jHuHPiVSKrxVpWq430Bh2y/m1zAUWj 19nRioPNZqnng9eWq4VmVGOYHS73vbSMAPzjjPQZWWbX3oONxu9fCGmBlcHryyo5bG9lt13K+Xor k7IjpVJRInVEz4nuvnTzrQxkbbOQx1pLJusq1z+A+eub2N0Dc6IvaxnnaxnCcGoGjsYff8aVyEGx lXm5UeO1rTIBJRmPZSX4LiRw8OcP74VhPtgy+OGflY8bfCcHICwu9/HNSNiVV0obaGsoBuJhq9WR 7YYpdDdy69VSDVkthY+Hv1rJfDKT49Mj+bf/2/8pn331qfzqH76Wp58/kcF4IL/4/34pf/N3fy2j 3egtKZsdi0x3PgL8NAQt9ZamN9dydPJIKaf4Nma8sHm3pdu3lL5yqzixw5JPyKj0AmLoGpFpX8UE A8zPChlDN3bBU3LcIDFct8JGZ+67J6kgOzKp7XpeMUko+E5RC0Or+kaAPyiFUqA+GB+EskbhkEJD wjBxNZO7IW0l8xCUJUZVVc+kOoBGQx1DZs++ukcYw8J0pF4rs4nwag7bGxlst7Lk3mMbIjHExZaH 2SsyzUT6/DGE0259JqtK5HLTknnVkiLDBI7cNv9mPLVBq1RDVYD/pwagXiaF88EfUDLGycz3jXJd ZjIvM5lu+V1lVvxBvcPgLPwWny3l4xua8HGeU6vFDBu8nRRYRa0dS19oSHSXbbUE5qTdamk5T6/X TxYN/9ZjIrvX78hysZSTB0dKSN073JPhzlBG46HsHe6S/Z7aTB/qdXE314lbbjUEHQ7HwasjDsTQ qmegNUIc96zqoLAvetvdvfAq4T6lLPuwIL08KMmM3QfGNyHrJlRCj4J1gy0kFcyKOqmABiJ+z11l NngJ4S5OvzdAmHXXifh5OqBeSbvVFmkxNPe34F3fPHsmV1eXMh6P5ebmRvb39rQsCyRWvAf/xjN/ +/aNDAYD+fLLL0M2M73W1OCHXd5TMno+ufRaIqMW77ub6g2uZ1vJdFPJqpXLsIXNykP45K5mFcgS 0s/he8Ifqu4+BzXaSfVEEk6nHqDfBPXiA6WF7+lkpfRbmewVlWwreGFLmZYtmZctWVVWtvR79L5+ GxJpliRsPjYcK8w6LnA6lDA0Prjrx9eRBtd0ODKERgh1bpWPSIPYaoH00589VY7UGF5UlmkIqOxr yeTn/+Ln+m8NBc2gRAAYE9uAdwsLB8Mxw0PkodYArEXPCXwsaXXVW3LeVQ1gTcI/3YG0WNtZ7cmO njpYTs6seRYJubSBSUUjH27erRuO8wPzvovCcVuxaq48BE3SO03Myl8DhoeQF5iVc8PuGjx8qE0K 4a27mVoEXrJg/Ouvfy3T6VR2dnZkMpnIYrEIWWCns4xGQ3395cuX8vTpk0bI7IbKPMMA1NMUk3tP mkSrcV24hMNuJgfdDDwbPp/0/iXvxSvwmuLmk8xTf3K1DeL2Y2huNv7Yg3m0D3FFlHpO4KSNZMMw uyIGNtvmMqtAooX39bvFwbJGBvB9o7on+sOUSpbyx4VhhZ1YgdylqinAi+kYuK5utHlC7qVstwZw t8l65+exNqCGQE4RjEerxx0aXoUaPQ2FeAzdvU1lAaO2a6bZQjCBVUWBYQ3Or11ELAOGUSyTSAa3 GadAjeCiwrnBeNU9qmA5jHlv3pnaK66eWDd4940MiQkDySPwGWkPen64r1pSFD4ZDMj7vKpwslYV oGVTRhD9vkHuVyx5cq9vvaYKx8H+nvzt3/63apiULa/edmF/o9C9rc8Jnis+eHx8HGoWaexJ+CUu l1gI/RXfhzPV0OyO+6bHBUFZPU1UJSCoi4ZFs7+GZ95nxO+99vt+lbofnjS443W7VQxh9YdKMHu7 CCVbINVuZFmu5N2mI3P1/353Xhe+70PCuqq6Z6og6w+jVX6EHpbWigHjNbyqZUCtYyq4eRtBtf+V DMc7CrYvl8CtCPg6BWE+nVjmKxo6y3nZbhylU3yyu+xLHUIhmKuEVEv/O6CvBgmTNxgRX4iZYmxu AHB8/soMm2FhHu65MQuelcUxNDCOQ8UQMjWgt3Zp9+Zqu3qs/Ss3WzUQuCeo40uB77gI6yHnrX8b yRTX6Qb6rhEXtJlM817pVcUqhqura3l3dib7+3vy9MlTvVbw8PSTRgCOHDhimV4A7omOGC/fj/Km FQQ0nHEFOZ0FKh5aAI6CbXjO2Ois9jNxfCMZ+X2GKnDy7rg3t5IJ8cChMiDeuVooWQsp1dPjEXXf qJbyepNr1vEPOar79rbkHx8T/h6BCFtbDAPwAgwCPCJMHhJKry7OZWd3XxnmJaRI+gMzSpx4q/lC 35+1etLpkn1OINMMU7L5enmIcoCCAkIdYFbiqnle2F2d4JgalNqOa7uKT7Yk2RvwrpR3xjAvLU/x g6SqCpapvIMLlXqVPJf07xh+BWIndmnL5tHspIvmjuu5Y4AigpCwP+zVFuTdngfPDUZAeXV6r2lk cFsHg76c5EfS7/eCBljeZhZO6zUboS9oLV62xXvaSBboX9FTb1JGliX1voBBOT6q3pWy5HFfgF0h u8j7BUgBA1hfMxRvjlvfVzNuqQG/57ON3/k1fsjAbBwVIFkv5N16+wcrSyqr+0PGJH30UVmsIuwm AR2OVkVBdnvjcrnQMhgQRXXyVPBmYJSwiFaymMOzakledCjsZ6x5LFDQDUhDIHWB3g1rE31QdiZO LHKqzFhutxqapgYhbtJe88e/nawawrAkjaUGUhdU9MzUszM+UhT9Mw6YbU+hJKaBiaQYmeNX0ZDy OmAoeER8fxoKxgWRLg73Pu4Ke/ycvLaz9rt7lqWGUwry23XbL+E9D4YDIwWDbY/wD8aqqWOWnm/9 nLhRldJy7lx6vqYZFu4ljFKSq8d34NZoqK/Jh8TLsWsiBlPKZss8oXPq7hypJ1ZzmRtJlzuNWyNW bWxA/jzcA0PG0b/G34PTGrdQIL6St6ut3FQ9Kf/I/K7s47FTtz2s6JXUCYOeTYPyQqjLMydks4XW 0kpurq+l14V2Ulv6feJZ2B3B0yqkEzARKDh4OAEQXrHgZNGjVMRT3aA2YJF5baLTC8L52hZCXhBf ozG8hbAGDMv4j+F46vGkRjMc06xhYphSY9kM1/geHjV9TdVJlXFv0jam/EmMLQGU78Fm0hGpEgzn 6h7ebWSZ2Vy+L5Ze+bXz3zgnUFQA4Hvy5J5vD15iqK9MSLVayoX/zPNNwzZuAry2VgUqRikrlVbj 6x72NYd7SDBQ9P6QrUYxfqJU2/yYbRju8fkjj55G3NgsNgzYJb/Pw8i7IwJ/Xg4jeEjv9wbv6GSV nHY2Uq2WciM9A1N+d3ysKqErNGkPNMZJ8iA5zsciW8Mw/I5sjC8I6mNhOlpog8Vni3Exm8pqueJN ynJptxOvqSIWhuydK5XSKKFUhtygrQvywSglXCgvWtZjKdhfc3Bri702aR1jMoc44CyJB8NaQ88k ciFEjyqmxh0zIgQWVjoNWuAmxXvl2AjLmQiK+8KJoL6B/noHm8a1eY3pZdUxFPfm6th2HbNxfpl7 MOF9rsqQGErgftXGeF1GFwE5FOed4mepz+K3JA0B/RUubm5MPhQ7U6wq9cbqGN5t/C5uUjRuvG+q LGslTfQKOU9qafw78D/eYZsbDVysvjnFjaBmfNOkiIfBd4x2nslReyNLSFArRP9hoeWH8LEyA/9N qfuWIftI7NL7Paz4IOrhDTwWD+Ow0FCjBxUGTGxKz1RSdHvSKmiEMKGiQB8KlcFRpgFaziZaSrPd QkoZmUKEjZhsfJ44ZgirVLIYYDsn4e00dMSeYjgV3+teW/MzvhsyG5WI9NVA6uQzqeOSluM0QsI4 4o4bDEIC3nqYmC4Cd+ui93J7xPNM8KjGGqjuDAWR6Y1ek0W7wXgGhC+pAEjDck+OqOFxXK5xivE8 3OuKN8g3AXqaeKaUxG56k/d5lnqfFNpyj4jfgeOgdAyZYnisMK4aIt+FcyWGtn6e8frCl90z0vXh F+3nFKOSOl7Wy0V6UG6tCtbH/objLu8ou8Mw3Q7Y0/OXj2YU3MOiTAlGc6fbbtayWsxlNptK+/iU +NSaksnAqzYrLoz5bCr9wSg8OCwsMOB7g5EURUdDSLDj1WAV7QhAK1nVVB0sZErDMEx4DUcTlyKc bxKSuUCfL8WIZ8UJpZlBvTj3rLwAxHfMVFc+Hp/G+y5wO6sbpAY4fxc44v5OPFN7/x0l9v59+P7F jGqiw7HJ7KRGNXEvdIPB/bAwtG6OG+GjGVeqN5SN+x8/HTzVexpihOuz+0BPMuKL/no6v24P8zIT DCnFpFKjrB4XHKuM58rsp9yLc9XPucGZS64rBLypV9UogkjQuQbPK7muDGVJW2X5k8X2ux1Zyr64 I2wMv/vYDFack6QQpKA47rqTC4FB7ewdGs1gK+ttSc2r7VYGg7E+vNnmJkmZ5RoOkpi4kU63I4v5 XOkQvX5fshYoE1FxFGoOygDH6w2sKGBnYXYkS9BCL59o0d+KIZ0X+QbwzcX9Enchzeh5eBGAe+Nz 8RTq5TIetgQvCNdrwoBkUPM8sYCRhED6nkqqdSXS9+FYEOdDgTMM0Gi3bwkKHjo9L79F9CJjHWaC /AXg+TYdg9lax72aISivtOnJ1ff68BxAyjXvmN6uZyfrI/10xADvCP0bIz2vEMKb8dDKhy3nDIve m15zHeGJz+h2aMrNp27fY4iZeuD0LP1n/zzqKHPdhFq/30yh3H7tYzJSt5pQYMQJqj/ZryPQqg0p DJRdQKEhL1TZMs+BT0VwlRhPrIXrDYbUrLLGFd1OT/JWEbJcWgcIw6gyMNAeD+amNilCqBekaDwM ZMFq3J0jiOpC5k4pUDyu8iLhVGO9Hh4GI8AP37ppdaMVENuIm/gOmHg19HoqxTccA6kbPRp5LTxv 4FGeBOgNmNC4KySI58bPeycevx8BY/at2dQoUmia4DZCfSff3vMd6TX6ZbsL4gC0FkiQQ+fzK/HX 7vgXRwxUzQDXvjXxflJs0hNE2twkV1qE4lxrTyw0cLbU5fT5ngDnqYFuQKBxnjdCZ4xUvw1/jwqR 69VKG3qIJo9+89Cwdv+r6FV9pHbp3lFof74WPau89mB500FjgFcUyZcqMWDNHhhSIewDJjUa7ylL 2QH67mBgOBWoDWtqL4E4qSA7Qj2wzh2/qWMAeh4JLlVfxCSNRuwzVZyw36nQgZFDvV2YTUQPHXkk v6zEvCRGKvU00tdJaq0bOleUoJpAzDyh5yDuL9RW9Wy9VVmDAe+ty9IRztM4VM1Jmhp0xbdU08yN TeO+3MokxmN4gAovS48D/CuhToR7VfOKfLNLTsazbiGhQXpC8lCZIawdy567Jm88jIxlUc1nUVv4 zaytbSBK0IXWZIk2cNtw/1Jf0ZMK7omHOeb4lDviybnfCsUT2kZT4hrf96Czld56LucVNCh+N55W eYcvmt7ej3kUCMVYciG6M3ma2ZuVMjxixk6lXcpKC53xXJCpYQjEMo9ev0dxPQ8r7XPa6QbGr40O LmDGW5ZMDUrLCKSWpm4Yp2AQ9N/1HTttCJFYL/vRilo922Tnkr499EFMQPv6pIzHD/92wxfS41W9 u06YsAxzVaAPtWhBD4y/82PWYrTkXHywPZmzyuOIP8XNRcPfBExPN4G7A7K6cXYKhCdZ7gqp0u++ C7/xS2Ctplcw1A2Me2Tu5fpja5inGn5WO08zrmHRhrdGPNHvLQr6tWwInqMC9PC4/H02p/C57SaZ Z27gG+dyq6A4evnByYQ3nTxP1CGOi1Ku1htt3PHbelnVbSThow3/7hoFZIsdVeRuRDA9pqS52FG5 r4A5CKMt8mlISPTCZ/Q2VEWhgB85L0o5V5o1vIl8Ht+9zC1nnWKyS9aygHzNz0lDFz21iBuoNlaD 8Mkw0LOCKUaVuvq+cO7oXNOYDSmulWJW/hYaK+J+KBDHj0p4TRZtEoGEaLLhWN5WE4UqQz9qtTen PLw9r+ML+FaNvhCpBBGjS01e/YigHqw3zMAFVYZbyYQ6ttMcTuuInbxNkTV8aaJPVhu8Me8Pe/37 o4hiEw9reiCqQGJqJJsNogk/tzuUMRqMhXQaOCwRfxc32NTbjfcMNAdRXa5NWcjmB3pZzWuT5Ad6 hfJf1SDobp4Ld1SU5iAs2GhGCvgTSyOQwctkOBzYrojyHHhWkEfuWhsw4FQUY9OdGrpLpQm8oUFC B0XQ3tyCKhBeaUgRuAgUE6im5+UYFDvXsHkrBiM9/bak5i96Fm4YkVYOqfEasbHOvE4bR9ShWTcs SQxlu7meo5JgoeNVGTk204XOECt2ruFunvbxi99xKxtv36nPYbORfosG666FDGOFe0M2e1zI7mVE 6RoKAqZhbgrSpOeAjYjkX86B5nnVzjXdAFSimXPK8br7jFI812go+O9U9sc/k4bmXh7kpFP/4953 fVGnXw/YQz1I7e+O+dUMm23uJQ67zxdOw6gq4gbD3xPuRcMzxO8H+VauNDr4YQarCQFkyet3leU0 PbCPbVjhYNS+4s7MkEA1wk2hbjlbSbugJpaGePbQgHGpHE0Jl3sTmp0ytDSROMnkZjpRLSWM1Wqp GUZxwXzrotzM4HCB67+s+YSTPZ2KwN8xRGBIGZjvni3zUhOdn+R61Vz7JPyL3JwEfE08I79HnKhW SG0GFaUteD9Dv4aPUKscsA0iJb3eRVC17CBgvv6wX3todUcl0hLuCp/qRjb+fOt9jYmhGJs1vvUS q/uMlf+NQy+rlhKCu5BStvsbNpx7mnqkmbe6a1P7plv/ZLmeG7Do6bqlqxvD+Bw1RDQyK4weoYJ6 WZBTfWqeaWq8Er+U9JlGF+2GRzpoiRyVC3m9FdlgXXxgaJg1uFjV7dsQXv+Ys4M+CrLKoXFFJQGC h5D6iMJvsChePY+6QDyVAkoOOWvSMOBpObALcB2um4PK4GchnY/B74ha4tiFMdyboiGJssSUMbEJ mCgIKGakhEYCtPXsZgwsajBE6tUk6yMmjyIGwvdEfMInpYLrho9pizQjveLcEUrFRVLfud3D4s/1 HTh6fPa9yMTOVzK9nmlmsEBMccfQSVpTAK3/7HWBfj5Ng1ALZ3DdLp9qg0aQoSHS82npDo12Ekza s89r+u4J1pecpHvNNQPm9j05x1oYn55vjSKRHCfBLH1z8fsUobaYxaTcETBczH2v0rhrxddhgUCr sLP07+Zcit/fTBjttEu5VJ3930z8r9LqkNteV/C2PnJjhVFoOFGZvJoxqfHwsPhI/qNgHLo9ozZQ LX6rpQYKfQJVM1zQMXqhberhXbExq2fOyIrHexHOgR3vksb4HhQ4O9ge3O5kl1KvSQFycoQCJqLd qJ0NH3e8Gu7VYL6HYDMlmCbIbTBQSX1i9MKSnVrlcCDtxlAMWcBet31rZ70rFIqL566MH39aLzey XW+yuAgmAAAgAElEQVRld38UmqLeNTw0cgqCfjrYHPecbzP07z2eU1mTN2rX7DbwSWjpr/W7vGSq Fibb30UGTzMxILfA+fpJ3JWtTaGBZoa25lnrs4lUHI0MEoyyfmX+r2STymG0PMlQxtpPzyjW1Gfj UIOZJkxqTb55PlG6KBplJLVAAlp8oM7V7ecjd5rTH276frqjwORTtU41IAQndZh3o12cFViPoUuY TPi96jNtpdOFljp2TnobLLVhg1BgV8g4ujQwPCh8jpPCm7Ha7qYeTJ16oDSIwFGKOkwKeCf8lxSo T0FQn8BORYiZuhShiiOdoNH1j6ksZ+h7mKoZVBh673SdYCHxmCmeE/EzW2Z6Jgi9FtOlvt7ptVWv /b7hvK6QgEi+J4Z/ySKqhb31cdug1Ahw+ooy4YFprVEjWtFjrnmsnBt4rhghE2yHDA5POL3U+6tj hv5k0izsrXNu9Hr0e5KG3+551yJF86SD92Uen2eQnYcGjCu83iiCdhVX90x9Y2DWu1nulY5MevlG psisf2BRdGqksrQYunF4Zf17jeFH7GkV0GvXnnjeNRmuvwHoGGx00DbvhiGjiumZoUCJDXTWO70+ MaMW3Wz8nhLJqD3cqO57p9ejZ4IGnjBkZgj5rOtAq0+nALKboWLHHWPIw+Alonph1012PR2NMMg5 TyEUTHlaafo8GLxUtpmhrosLMk3Oa3VAmKGre3114Dk1WrDB3qUar8CrwhiMe0l4fMdi9Z6Prr1v /kUtvnWvI3mtucBTzDB4fsrYjt6MfpfSUiQ0esW1LpdrNvow4T1fRUuI2Eolw7CxRDyRxi+9v43z aYSL6aife4Ny4JsV35jc5xRziptPjELrcSg/n0tBSQCGYFo3S4/ai8hTXCvet/prfirN575bVHKx RGKqLiv+vlF7pPJ+T+tDZZV/qqNQbSUF00kCjW2xqPyoypZJ6gEKDJDRDS3ONXu4kR68KpXYXch6 uTTOFbKCKO3BBJ9rnSHCSjaJSKxJgumo52LbhO7SSQaT50dWvGf9orSzG6M6IJ/Kz6R8mdvAdKQz pNyslBdW29W9iDrMIt9hTWYlHCO+p45ZJSl1kytezJcyHLE1WQg77hiOV6iOlL/Fi4T9dJJFW49v 46CNscXa5Jcl4S2zujFsb0OYveDvMEf0eVqdphbAG7O/AN/JF9udOlbN66vjVcHTig+4sQu5YUtl Ye45egNvcxeJtz8F6FN9NZHcwm12OqIRZkKp/k2EU/1BR4vhm6NfAnhZ6JG4CpUG7x+JPy4Ra73f IDk2+7GOwjs9e0rfJ1bQUrIC2lBjZsA53U96Rd4ZWnsUohRiMFRDM53eyHA4ogBfp6c0Bza4wKRP ZDeSHYkyJJjs3oLedkqTUQ4Acg2ZjZPaM3RcaImL3sC3ItCdhpLJAUP8kAi32csqOWwGbLlYx1AX nfQ0LHY7EEPOGnYVfHreT9zG7RrHKJQf5B6PhxkB2DVRRWWhmwH3REcz5IsE26T3ontV9Rgy/B29 oORYwVDYXWl4a8oot6Yf6o0A00QyABSLmpRME1+MRjE9Fb/kELSZwfV7UUtOBB38BpAUNj9X7Ktv RCELnCZpmoXnDW+buBaw29jXMcwhnxh2Y6Onl2yWhvsp5ihbJeJ8cH8IuxnbsMm856245eV/BbWE TezCO94o9qMFzMCy2J0mhDTGFMbrztdxigG8hPF4R98HKWXnA8FQ4aFz1LEWPw3F0YJMi9Mb3NBE Y5UuzpqXFHqgJmFfLdSLOFM0UoYlNUqAKE7n9oveoLvc1baU5WKmx+l2dxSU1uoACzNTJcs0NEvp GcC+ZhN0qGE7tBrQU8seJliPe2ihtvq2rLNfla/+1AA2w6uQdNBMYVzw4V4nQnV2A4lXWejvmv7g npUVscqyXJmKaczs1kYDRI84jYWNvvE0eGs1Lyh0LLQjNBape8UxROM15Q1PN8XR4vc0kE37DJIg qs2fcsAc7/VaVPNI0yyh33d8Xy8vJUd28oeSSCs/x/sbrapDYfP/Y2o+cY/iqD0YzZog+0SaliqH IgTUFlMr7VOI3oDaq3C71VpCHKEDzyoJc7wO0bEe9ZC2kQeF4btU6Lpi9WzBBw4eQtwd2R/RVSeT sogEXPfZpoxrW5SBDGjH904yOC/WASaTlJY6WWixIFsJh+he7BeQgPe+APweuGBcNIheCcaqgtl0 odytosPrSTtVB8/QHpB7aMzC+Wm6vHA9ha5rxLJ10aPz5IYD8dHIJw8j9V+T98dtG/fXy7lch8qx p7aU0im0TYbJC6G3YQOEMe9Gky4BG4pAthuHGhk4wdvqFJBGYJWUJqVqtukIHpKdU+hPmRyTJ2Ne USMDjYRDNNjRgHp/Q2QbM2tMm0ISIYmUKGl8yLhl1CXdwmqPrvbzR+thuegaHxwAZSNY2vCdwfXB tX7QQHh0gEacP7m6kv5gqCUp3GHckJg3gQMlO3R6bNx6xdAsxIhcGQuDrIGCelKegUpCltqumBgu gpDRy6qRU1P5GJuUCH7d82FD2SgD7GEXDCDKlLRjnd4vdppRsTxNSgDLW5P2oeRY90atoDcZ2oYp a0krNVbeidnFC21qepjrF1nzWBLkN1VRTYd7kk7boJ2qY4f3kxnN4AapaeOhKU+rzpDHYnTcDPPA uVx6DnYsN4laUoRO0GsPbWO28X7VhvpSRTjqwH98tj5vvImFU2HSIybZvICHxkww/8lyIvDTaloT ZmBTo5NuINzksQGiA3c9Q6xGHTxGWclKA8PvzxYWyWZb3aPSQIimHlZ/tLQGLlDjQ9mO669jciMT SFCeWTuQR/EH5NBW0ZWry+fSH41ktZnTgLS6toM74FiXunXdLSfqlSl9gW8KmFXc7+o7IikEKXhP gxQ7RXM4aFxPCDk2U1ch5c4eG47yPBPjbTs7Q2DogXXV21yvJ8qih+FGQgDGyrXo/UuZ2YsdjzGw E6/WK+nl3eAt+ntcx5z3PAlbzCNMcZR0ckZMOqlfjCozt8Om5Jnz+PXF58+xmT0N1xGQhOYXxO8O zP7oCrIlm/GdQJPw8L+ejHFP0O8k/4WsNIwUEjvspbgOhoQqDe6hh4gthMcx7IvPPvZYjPfVcbxw zemF20XXtciiimkwvth4rDVdPFQm3ZbIfoVmuJlssjaFcbCxe5ALJwDZ8TCHoleFcZfB8uxgcBbl Y9fDCnhBEidb9oq1ZNRYUk32TkcXFsI91BGOd/Zlm1G5ARrvI2tBpTwheGEqp2K1dKp/FUtm/AZr dskKle2EorExQQ19v3ZQ4Xu8Ti/NI2uLKqtDJMUg7mDRa6NHVVm9g2OzKa7iYWTaFsw9P5BfvS+g Eik1VF5KrxjIZg1aIJrL8ve8v9GDIDzjGVl4iplcn9/IaAckUdRfRvVV94o4EbmwdIGbuKKf+/3J BM+curfG0C44FXfswp59DWF2yMS5Jr/rbUUFWDWyxp1Ls6jhBP32JaC0Uz6iUY2fC4A5PxTmgz6X Cs13+2F+qCCiJjz4M86PBfw09PTYE8wguSfx+ZC2kFrtFFOrz51oyNLQ2Y/j9x/fy47ZuFeUPErf C42s//zv/q2+NhqPdYZfvH0te4fHcnN1KU/+8m+kf3BKeL7hVeV2P4IqRDjX+7Gtj2UUgXMbdhUu JPKKcq0NRIiD7s5azMw0GctyNKuVSyvryHq5kuVmotIzvMFu4Iz5blnF1WqjrHCfNGq8kkkdC549 hMMCBi/MQ7QE3rLwJHhgjrHY0oh4kC9qXlNc1EnWq3Zb0gLhuIOmQKxmxeBNraAEWihx1oHcjhmr GKbFxacSxMpnAq8pl/6oq3WarQLYB++VPQ4aK4TfJi8TGO3BE0k9hvoIm0MaSqTSuY1ZXbsnFu7E ImMaWRhqGiuqpnrRupbuKI6VMO7TA98Tat51793w+D32jcS9D03KBI+zznPDBoowEJsFznGtoTn6 CtRDyuBxWkKJySDO5TvPM/Gw3JgG3IugaPwGa4ypHqQ1El4uScNpt3HfsCkhQ5jLYDSU7371Czl7 9Z16jaPRWF5cX8rb16/k5LM/k+5+khn8nlG5d2UXa0nJjy40TKjUkf8LF1s73dgFAzw3l8nsFSeh ayep67ulvrsaJZlJr006Q7pYtctJol5Qa+PuZThQUzHxuAg8s26wbOBJabgUJ7n+X3c1jNA+nb9N g8tbAGzQhA/CenGqJx59uF9QUJ3e3Mj+4bEab2YJrSu1x0tJWYwbcb8nUMOAusVwbNwr667jxpIG HSFTgyMUtMBSsmSkcqQmoBZKNhZrOppeWYDLbDEgfFWPxuWEkp3Djey3v34uZ2/OZHd/R45OD+mJ lyjLQsjbkpffvZSLt+dy+uhUBmOKO6oBtI0FWCBIyu/enum5jndHel+RlIiz040Kr8eTJRCIXC8X usHSW2eSAPMtZiqNfqEeP+/XxkJwLcsxLlkK9AeqR1pInRjagOs1+yKo10aj3jH4Apw15XNtt3Lx 5p0cPf5Ujj79c9mul6zRtQ37z/JchgenbF6RhvtS/3fNEJvdTDFc8d6P1UcHujsYy5uqkjL6jK07 i5FDYUT6w6F5SktTZchkNV9ChFRfH7Qte2g7VxNfUvxHW5FnskQY1e0FLSsCmfW7GwmWXEQ1jCPR Mop8mLjIfCIRsLcyIWNrq/0N6CpXcShwNh6Az5fQaBUTXEuVaOe31UbKfEOqA+7JYqkNZ/cOjiJG UssgRqVUhLar5QYgopbg1LyKqtkR2Xhwvuj8uhPbFEO8dCo7wGSv2nvqUr68RylWmJIo8X/PCDJT HI+sonhbtliAwV3OF3J1fqWGp9NDc5K1vH7+Rp58/kROHh6rp7hYrOT6eiIXZ5f6Pfh7MBroc3n3 +ky6/a7ODxi858+ey+xmLn/x3/y5HJ7yngahxGCE2MMS59vtD8yDgagk4YASopN67tAlMyxNqwxy 2WryhGE9JWfgKWLDSRd5o4DbJlZseBI9wKjVHzO6btCUbNpqyXK1lTcvXsl6NpV8cCD5cFfaYf7H +eudo3GVuPspe726YyH7840H4Gg6jeEYP1G8q+BOariJlrxwF43qCQ5kc7GAaNoylQR4UAgX8Zlu 3pe8QKtxC/eC+8xdiHV3/A7NeEDvvds3PS0aJd+5qZ8V8RkNi6xkKI7b6e2Q2g8k0/TpgkNThILp +PkIEAQwOz2eGciAfAHw70BNdC3rci7tfiHz5UQ6277M5zdStLuJ11OznPYjjS/S/QgpRzuD4C15 SOmJA098WFMyayHv11QPdFIMxY1lNGL1KZ56Xe4Bhl3Zhn/WS47qGu+ZNV+FSmc06vuH+6awmkuv 15OlZIrNuYdFEUdmeveP9mUxW+jvwO7vDVi2he+5uZqoV3RwuC+7e7saOgVPWmicAs5kOmao1vB6 VRhM/BshIgxqkbOlHAaSJO5p4TPbJZvIMpGyleVqrWshFHnfkaWIHK74eKNXbvc7gRTCwP3aLuRg f6g9PDfdtqywkSeaZbWvsqwr7vyqer8O1oeOCGlQZv6n5oGpgJ9POsUHLBRLMya+wziz3SflfHKj 2Qm08cLuwTbwt7NPalYsc4PXEcsDy4KdYgbPFRLi7kXQnPwsX7Cu2BDDJu6wTQMRszQRg3KeTLpz eljgSQCecd1A+czAZGbIQtlo5SnjktaVepfT5bWsy6Xsj0+Cd5PYyrp0r/2GqpcpVhYxvJhQMHwx BX/9oDXYNyYKWLkQmfl+nCZwzJDPDHRti/Yuy9xkNIyNl2L3gwx/71OJXxwcH6gh8jfDuJ8+OiG2 lYk8fPJATh+fBKoLPvTw6cOg1Hry8CRm58IixuYTVW0pd7wNmWVipADXqZZh+IJyB1UmSbOG+H5X wKVxQQiGQ6QhOoxWkRRAK6vd7o9nHyPOZ3dcsaI6gJAmTGlgKlkh88d2K9LpZLK/tyNTMOc/0PRo F6TqtspD87n80PFTI5nWOj+rjIw2SoiejYaFmtEjXgWPCJkZLcNBlxunzuGKcytWTnaWiIfExaIF 1WAMm+HT71IuFhdxGq4wFGLfQ/dEfLd1r69KMQ0zPu6xxPNwYxejQB/qWekhyFLGYABGo4esE47Z g6ChKotSiRNge55vpZV3RLYrkU3q9TmYEPEjNxJuuFPukGq3l7fbUwWTdFchtHnFZnrje4IAXdyW 0+cQbkIahjQaasRpkSQnksawGLEtGFRXo1gjQsNnv3qm3tPO3q5+dmd/R5bzpbz49oV6Vo+ePjLD xaJqZJcvLTyEcCQoIju7O8wyQxsfhgnfAYulmUrLvIZzJ++KWvSUP8I9RaiZJmkcrvBr9oL+ZBno a0wgxPuDOYt54HxBPCNCJ1EDze8v5oYKBHg1wwYacpAg6kvRastKN1JcAxICH2YpMjdaEh5pzSdz nazfZOgz+Il4WxoS+oqgcF5LKriuCZ6ijSIMJ9DyG5U7BgcGIDNBTvQchFGBq6thlE1ecrxgcIj7 TCdX0usNgxYVsjja3ssZ4qY15YqeTm3IAjBqAKMezfvlGJ8r5WAl+KjzuYJnFoic8UbUdLXcI7EG EGxn5jgDSjC2si03UpRtgu2rjYYW4zG8iwjYuq55IM+a6CAW53y2lPEuKgNolFWHzCgStfCilpSI dZGOswVrFrKC7jHFYwSvJRwywV+SLGPKSXJvm3glqhUcT3O1C4ZMwQNLAJR3b87lnYLvu3oO05up VkggtJvPFnL+9lzfOd4dq/Ga3Ezk+MGRPqeriyuZz+Y6Jz778jOqrZoYIbK8tMvc3EhwZjgKj5Ae E8rH1npvtDbTa/iCFBGvyTcMP7ZTVup8j2jU6WG5pA7nNYzYcsnNS9eJEabxHBkGmzEruzKbTRS/ 47EgO76V/VYl2XYiV/mObOGmv2f43W3ZKd3ytH6DZhTe7l5xzfr+9eMH3WMWioshLZ71Hcmbq2Kn U+Jo0Q6Fz0qw3GayFgj7DfQGI63MCc3P4ZiYTN0ujRIA9uubK+lDdqYWwte9LDwkLaw1cmlgoSuQ 7+zrNCokEKuNB5LOOLUsjj0p/R08O28bVsN4YibS8SHFS7BAN5lKAWMN5arYutUejDTSDAOQudJ6 TLse4CnL2UIn7siMFZIcmCyefXOPMfUO68/IRywZSXG4kCVJwpTmZ2/RBpyiAa9EexIW5JG5fEyW ay/KxRwJGZCIKS+E9+StTgjpNPxROaKW7OztqMHCdwxHQzVOMHKffPZYxsC1+l0pN6WC8w/2Hsho PJLFDIoePf2jixpYauXNdSGTvVWiLSsd+CwojeT9LW2TUe8GGVlTALe75c1tydVLkk1mvJ0Gk96n WlIqNfaKcwEzwzPGpk3+X/q8POzF3+rpVSxT6mF92Hl0VlRp/b5C6PqTvz1uZQ2/Zyi3L3lzk9P1 Yx3BrC8WC+n3ySXCUPxCJ6uCQTQMIMBpxhCRt3lbxoofjXdkcnNjoDbS9WvJAdCDi2I7GiYV3GJ3 5fGdYNFT5TSpYQtsc4YM7JNnEr26KXqpD/9nSf7YK9AoCqEtvY4klLRqZpU6DhlAP6CVrpjb34zt lUfVgYQKWp6tpVMMZTa5kYOj0zBhNUtlqhSWT+PryAyuELYwFNaQxTJvgUTZ2CrrREwLfe5QNVW/ Kyj1RGOVHidiarTcNUFD9Q7YMxJeYwiT7Wi496vFXGbLhRI3CyzSFIj30p4sk8PjQzk6Oa5Jyjgx GeHe3v5eQPlcDwz3GkaNz48CkIQASAT1ulbHVINRCM1PqM+lhqSNUM28q5BRpUWn1xspDrGXpHnQ NcMe8QP3cp2vhveq55mU/gQUIIT09QoCzAnfmLDJqZcXAMT3D9+PqkZGMMXMfoiX9f3f+CP2sKDD hDITDf22jNM1PLFQ0HddNkRd1esDdQehEB/Ik6vlXH1NiPWRm8RMUoHuJNafkN7GVuaziezuHxll os27byCm4ztev6i7ZU0jKnKKdHcNpTz+a9v1g7Fk+3Z/0KlOUS00DIevP1LNmKkHgoYbhbRKgLwt 1f4aDEbS6Xb1u6gP3pJMu1s7mJ7JarmW6fVUIIGPjBiOBxwv/S58Fn803HLVB8uGuMflEsAaQgfb E4JEhoJN+eLgfEUJmdRrIwDNhiIuJ+QmD79bLVHcXkkbpUiLuWqeQTJbn3vtvpkSQuLZ1G9iNJxs vVYvO/Jnphm8jFSP9Xpp5VIw7HkouNfsH1qoZcBeVzpv1MtH6RR6X4YMXyyz8u9J61UxiFsmvDaf AmZ46uE0PTu2cXNeYeQGMsSMUjJuGkC8xtRhmOrClagrxAReS2UG9L7hW1+TqlD9hviVs4B+Io5V GMVisZTBkF6PGqdkhyCwCba7Efu02QJvNmrpMLkJTrIGDqxv7bZjsjJ4XmDwugusO3LGsh7SDNqy mM+UKtHpwLhBcMN29zCZdIbxXCpv+eWud5KmDR6BNc1IVCaZbbRjJJrtKWUjYagk/Kk4gfC+5WKh 6Xq+algfjHGnI9Oba11Iw/GutArjSpmrvV6uFasZ7w2tN543QCD2ofie7cDz2UxDs4PD4zqD2q5F vzsI93npkt8Ey+j6Od9VTtLwzrCwPawP3kAS1mCjKIpSppNrNR5Y7O0O54tm4xSpjSEtzs29vHQx eHInLn4yvl00MmR9kdQAd0o3ThfMw70GhmrejJVHwRPXruR6S1ps55Y7Adi99CTjnfCkQrjHNHTd aKa0j5BN9q483GzhLceia/eQ43EDH8u+H/NPNwSdh/7sMhm0KnmSreTFOpNF1bm1UfoALFKZcfpt QsGf+ih6vW6NWc2bm8pixMJNGgHrRKyFq1G4bXpzpccYjfctC8jCYA95cAzshN46CqAqahCx0GG4 PLSMI2kqYJkbn9wBeE6yfurWm40hxkWQm/V3hr0FcNZ+7+UoCWYV50vinSiPDJ2t+1pwy+LrlpZX oK/dYj7V46IJh2YzrWBaM2aLtcyncxnu9M1YkX29mE3UACKD1On2rUkHzo9lHOxmxHA64IuUFQ1Z RwvCwnCs0e9e9H5Skqj9trEuwhwwAUUNycwLBUkYirEwJJ3RWFU5PMpi16T6clHIQPWxwFCvM8a1 OYky/l0TjPNLm/TCc0LjE1BfCpbXsPejZVB1g8Q9XenzwxyDcef9YdLCM3TEO62WMHmeKgukGJeT cKMQXzDqUp/vJBTTg9ON2vtOumdl88/nZdQUs+fitBo0XdG+leSF+XPpFSIj8PoqSPv98Hb2mVks Xz0fkndM9qef1CjS4uBUylXxG+O4xB3IUtvOE9Jyio3cXF/o7jEY7VDO2LJ2jg14LSC8qcEATHlM GOBbTAsDVNWWX21MUA8LqJTg4QP5OAkgbSUUITNou6V6LF6aYe67ejTKL3NSpl9xnWYQEm9hYSXF udghLZTAMbAY8T3L+Vyur8957WYodKIT+jMPjBkmLmJ6klg0+LvfH2ooTYpErn/DmK0R5hiFAvcY fKeaJxiTciE5QBkeN9RcwIr3BazPPpIQHdNwB4bhzfN3cnN9LfvHO+p5w/ubzyf6vuF4R5VjvXyF 9yXquQd8RVnvM7aGzzOZTW80AYFkDJ49/u3HCs/Jwmk61EXMyOnF0ZCF56cJmySUTIwDvhcGAkY1 Mw03GhPrrxiK7mF4iN2FcC5kVG12JDWYkBTC+zpWB+vJmUDXsTf6cdImKjR29PgitaQupIg2at+H K+VBBuD2cC9LL/cDjNFP0VhhFD75UkwDbizCKF34Sh7EYnMQ2UMpPiCECph4veEwuNoR6GRI6TQE zaqghMJ0ovAavK7+MLK8wcOid1fnAwUejXK2kmx+8rvUk3CjW8NIdJLheph1slfC7/yY/hoWkNax KcveMo7msdFAIIQGeXIom1Up18trGQx6it8RD6RWlis7+PTFfYWB6/Y2ekw06MgByGr9JmfbfD5V r3Uw3pXteiNZL3X+4zNzbMuJtbj+tRk5UkkMq0t5VIkaAf4NftTZmwu5eHcl2TSX9rojL168k3Wx lv5BWx48OpThsKfeQVnQa3X6hmtGRXDZzLZhfmhO0usPZJ1DOhl4mXmQm62sZRk2JISl+BPP06ok QlmXyUNbMgPXBs8P30+Zb94T7fLUBsTQjVQSc70pl8TCbd3IMMcbs8Agw4hwG1EaIa/TN1JDlYbY 6XA5pvQ9KqeTSHEHY+c6Ynqu93tYufGwmmFhOj4UfGeywDFg+cmMgt1n3GPyTi3sJag/h+YPvnM7 Gx78nJVODmBULLngA1DFRVMF9dAIC7sNQxX0qYyrZaRUZAmRgWsHPAPfxZZhcTQAUP1fgmclWEQg PSbs7ZgEit1OopGKhljPyXLNGq6AMFiV0sm7waNTjAVGa5PJagGuFoop4VlsZXJ9qV2u1Wi2c+l0 aag9n+fYUW7YkYO0mtAQkb39Q/2em8WFHguLz70EXmulxEpfFNST93CG2CA8Xscg00xVlfwDwPH5 6wt596tzyReF9HOWwOD5dltdma6nUpRIpnTJsQOY3WorQKzhmd28GNahAHmp1weAHp6Sn1XeQ1lX IZ0NwyEnZqoHnnpMiWqIPxgYJsX4zGVF+RM+A1UMeD6aQGmxN6YbPj4nYmR8tgj/Yl2mZqZ1bhCD JR4H0D5mECM4lITT7kklmu51wxSxRrZ/4yRyao+WvSkeFrsi4bO77UqulwgLvaXd3aP1AV1xUo3e +0YkVMdI4KcwgHCHH3y3ZsNTNoxAGBTLIIy4iaYJGqZ0lWuFnQ9GqtNuy3K5ZOfnHikSWPx4DaGQ 1wJ67RZuvBalBtZ3bOTKspDYBsy9NGb7rIGqA56JL+27f/SwmFXy+e94gxuvpofGEaVVXL/L7w+A ZweCMwFGs5ad/aHylOBpaehRLvS7en0sHhgOEh1rIUDITWcaJuO84VWVtohRFA5P7fryTENpFPYi lBoMRyFkTb1jn/h6rbpA4F3FigBeFQ0BXnvz7Tt5/s+vZVgMZJTviFhlS22U2IXbGspxAyGupunl TGcAACAASURBVDpTgQ7iHjg8Tkq8IKzt2XOl3DYMgbdEQwaPXo6ekwMwNjarlVU2gExMAB6vwfuE J4+QDyoZ2w0ysdT61/IbbHTw0DrMdrN8zEN6Th4mN4CHES8L9IOQ4EnPyZ83KSgUBYQ32UxixLUT DK71QwzYkm3CuuCKliDRVRmGF44RGmN8j6GReut6/XzjMz+k1vCn5F1hFFENwaNjGgN4NxryJFiR 7k7I5BnWojpQGtIsSWEwQFX5Lq5rBeOk2JTzZiyc1EJYkEx7wcNRQ6XyywRMA4iccI3CZDL9d/+9 LsxEr4g7LBu7cpFGbOwuGoN7H7FBBPhSpFPgGlDszGLvrWYKce1rZPl0twYW1dedHUYHukYIhdg5 27lh5LKpHrgXX9s5MLsm2qzDwXdn9nXaXa0imE2vpT8Y6/vZ9LORljeJlTkqDvKW9IdMdgTIK8vk /M2lvPjFK1lNN4KqubzM5XJzKVk7l54gTK8PX8zwJlGyRWejuX+b0gVwufWKHo7qgXEuwctBuzc1 PKqWAUPGY7Dnn6kvmLFdLNGQg+U4qjVmfSlV+73Vkt4AOFip4TI+NxrtqjGDtEyECDgPvdSJ94gE WDxHJZyqF2rUkaDZXm/fRdgjoSykE+aOEdaSbTo0dnUESjOjCV0lemjfv1jvG7XEyx0s+PcN0178 yQx9YqEGC9XuKvmLXZI4AR4ysxwkTWpnFHXBvdkqU98Y7tEgNAjehIU/BFSjG81fYaf2rtJ8L0JD zUKGzsEpL8jCIdeMT2wW8AF6guQCOciN1+aLuXKlXLkm8rwcH4lhZH3Cku9DtnVbd3ZqgyFztpHZ ZC69QUeWy5n1XKQmU293P8if+NDvgQCeEzxDax//LjLjvWs2vADu2MyY7eweqNfhpMUI6EbwHHIp 0NjP2l2GOMi8bUqZzcBSX8jiYiXVdS4H3UP97KKaUyLGMnPNQe8lN9a7KXfaa/4OSYX1IJq3WspG cB3wgFjCE95nCQ94qYrb4f1L8PpEw96NcticQoOs7NAUKhi3sAs5NkpRDFBpNLoZeZt5htd4uz4n 1+bXEN+IJhoSknPm0APDzQZvzYQJ2cbsbmsS57ITSu2Z1FRuXafKNkzzxMgDjBu7Nt81z/+Hjtzm bTBWH3iMn2KmUC0NJizTv/S0EOqxoJXeAAtpqaSJSYWsnqdzA33FSJrY0dbWoMEnqwKcSj413CK0 nU/Sc07cw8PNM92dOsCFkrS8b+wq6GeLhJxJqyh0FVNzw0k6BfmA0rraUCCQT1PXPm18EDExGmKG V8pBUmIlJUygAdbtmnKogb6gN+RWv8ZNwGRxgPsYV0fvVQO4pYcCjW8KAHLRkeMDzyCUIjVaXgXW Nwq0N2tZqeJmJZPpTL7+L8+1DKhcltIt+9JGVjZvyagzCg9/gwa32wVLX+7AertFVzaLjVxf3cjB 8X6QafbnBm8oc1Ik2Put3DxLMxQ6p2ConV7CTQRZZRxid+/AsqGi4W/HNNlCGMeLtPvllQAWPuUt dhK3DRffpR2a4NF74wsP3X1zCKF89Ib4NmzKgA28kTA3JKdRRF8y8YbsefgaiAX3CT6Ufi5hvRP6 s83VCK7rMqWdfM+izXiMlDAa7tgHHuOnqv9ekFnNji30PDhzfXLxRhNkxuJXdnEivq+qoonAnRIL IausWJQJ3XmnZnuSTE2beQjfi4m9lvVmLnlWSLvoa51dYIM798ClfsG7wWJOa+4CJ8WMZLmVBYTS cC3WVBU8GpRxIPxixXx0+T1II5eHjQAcAysK1ATy3Bczdq/uDbGL06sEzoRwcffgQD1UGB/1jlBv Zy3p3evz4TVqGDCGXZTFuAY530BRRJyDFfB6J5jZdC5v35xpXaLL++J7L99cSTFpy8n4VHZkV8TU mn3AgM5XM1nmCxmc9uSL409lfj2Xi1dnUi2RhWlJvwUsrpJ5ayaHJ7uyf7RnuF0ua9Wb4kbgHb5h KJzAyT6V9F64kXj4yNASvDt4VaOdvTDf8Jxw7kwuNFq32ZN12Wy/fywLA8YEDJUaVhoaGwu92vA+ qaqCS8P4mSSeInlu3Gjd4GgTEXzGybBhgzM6TdBMqxNy/fvSjCNVNOKG7PiiOnZaacbXzjYdal59 QGi4BdZ7h3dkvN3v9ZxID5GfLq2BarIeFjkrmA9T21aBMGcNVOFhONjqOAQmmipP6k5DUJYC/MaA t2YV3G1NNjnsRHxCqoAgRgLMSikFFfd5ZHZbgwr29jPvIuy+ZaJy6jALJ7lSKEztwdcOGff4NycS wgniQM6P8WQADQYWo2bI4DmtoBS6kvGuZQENb8J7gD9BZRNeKLA5bf2lRFKrVwv1e7z56T0PjO5U EM4ymS14momwH5RKz8/OpWhn8pdf/pwT0EiXZ51LufzlzZ2CcPj9uruU3S+HcvLwsyjK90BEfs7j n729kO/+6aVs5lt5+LMTefTpwxrOAu8FBmG5WiTeIedACHs8e0i5RmtfBo7UXA3B/uGJZlUxR5CB DM0iEmyMXYzIxXNZF7tpwQBoNhIlYya+t4YGlqrg5lqjqngpjBo666zZOKTZZl7nt1ZwMFTEe7np sk7W/2gX8Vqzj7pJaJbw+MBpkz0YvWJUdWCjQZICIP4qK2SnKGWvtZHvVpksKzP494zqwx2pj25o 3pk8naRNveU5mY0qNTPT7ffVU6JXBYWBSNLECKndEu3bFyqlrPfcOiCHJhH2HBQzc/E+wWJDaFBJ kXe1qQW8p1VGoxckTxI9LPtSexW2xiRDbNG4F0duk9EB7DFrSJvskBH8ds0vegvdTifstsySobaO eJ92wjbeFIwoCoKxY6M+cjTakQzFrS2rc9RsqFfuR+wjGC4zRPQq6oRDlU5J9JsQGk1nMy0cf/L0 sR2Hu3arZDZLSZahsJjHWm4WIrulPPyzUzk42Av3zZ8znwkxvwefn8iDh1a83NDJ4vehnIeVDPAM 4UWq8mwSGqXt14gtZgqY96pBeB10j9AsI7lGnyQ4PrxszLFOJ2l51aQSmEpuUYCIys1DQ1QUeqlB 4waq88hazjAhwg0Hf9hrMtNMN543yaVGc9D75FhhHef0UTNk4MLZeeO98LwV4zMvMRUS1PPWI7M6 4Li1lIvtRubSBRjxgxZz9h5i6Q8dSVOkH5VOVuGgXxi2kom9QDYFDUG7WoKx2kIsH4B8SqLEw4ch I2bFhcxMkIr9Wx2VS/1iLBYzxT0gqayAqaxlU7GoulWB/sC7pSGIhoWgQBC3qvOy4m5cy+S47pWd XygB8U7F/lmjU9TdYy4A6BkRHC2lbWEawjD8Qacb3ButKSuRiGhL1iaGxbIQFMXyZgI7g78YHYOk 32IiXRIBwbTfnR2j0QBWy3fAQ+rSsyUXqx2oKOtyLW+v3wZjjON39zvy8IuTaKySrtJ+HsCq8O8H j6ESSuMdZ789K1ts3Q4WVCwx8S7fwPqon55ihNbcIe3mrNdkXocy+p0sTH6Ye68uVVy7V/6kgjAk fyZ+6WoMZqxcJFBrN0uVQPYEUFFwY3MqTWwgEs/LFW4DATnVGQthb/yZxN80KDR9uMRdc8a9Y3x+ DYrrtSsZtFbyzaqQpZUONUceKD73K5D+NlQGW36173sfWfWPwHR3d9sBRPJkvOCX1INKM23eFZqN MK3noIq7kag4n035fgc0rScbHs5qwcyQUh0UH7CzAKBawr1nKYgXJ2vGDF2VLTOYKizU2caOX3nG L7rvQejOOkh72Q7DwJgp5EEpZdLpEq/ya0O4uZiiQ85EBqOO/l6ld5RIxoUAYzW5uZajk1PD48hN A5u622nr8RAaa/YLvKaUopGcY/SwTMteWevc/SmZQlY4ianMLKpnqhpWbdSWyyZby9HoWApl9HMs 10t59+tzfUY7u2OZzRZq3Pb2d2VyPZXz8wsNq8Zj43k1wlXec84VNHaozDNZLqd67/H9yPxR+wmM dZtQTnuLDynxojxjxutkORg3Pq1D1N/RM2LmjYA4vEvqbvF+8F4xK+oeoBflO5Kk4WO7kE4GbypK 1GgyqcMkUsRIoyS4G79agqnxPq0d9PDYRB/bhn9x7sZOURiYPwgJyfFz8clYPaC65Q7S32GBcj0J kkg3hmf5sGZRd3Kx8LM1E7o1Uj5iMymK17ABu+DfH3PUyDrhgajAmch0eqMExjhp3XAwhNG0ORjs 3jRU++fFnYdqj+RUoSQD4mudrKsUAAc+dc1LR4rCukUnnWZUfqSVKa6AjGGd3NkMn2KWhVQM9/gY Gt56v+2UQWcrFHnTs4OhBJMf2AyMMID6drcj/ZFpNlnGCt8DY3VzfSk7O3vSKjqabkcoCS+SeBlp Hc5Xuz3iNaWhtbauUqFEVvpfXlzLd8++U0MKETxK2bDuzq99sNOXvdMdya7tmkETaVFcsXPTlzd/ fyHfbl9JBwTOIpfX47cyPOrL7u6OjMbDwE1KF7v/W0NGNQyQHyZuiEGc0Avo2UUnekRpGGUF3KnQ r5NzFSw3LM+oDJs1ZG1ElquNvH71Vr1ePGcokkKLav9gV3b3R0zuBHUJ5/zZPHIvNTAGaNwVtwoe eywH8kYjVH4giB+Nnt2XhGgaQkGIU24A3mPjTTbjSISzNeF6WJxjEBplbWRDwvoDAfiiwXwP/scd jPia89cY6gRam727vlqN1o9ARtnAHEa/BIRZcjGdmLEK/mHcEcmEZyiJmjA3JPA6yIehlwaSntbt GfMXQGidy3u7nTo3YQD+LO0hzmXSvw7qajga8ZnopnM3c5KrH5d/c5IgbNEMk3lcxGl4Ls7ZUZxO VTWBx82tlKil9XSuQ6UGbbnQ+wTv4OjkIevblgvlQyFJoUJ3NnlxDBQ5kwJxe6R0Bc/OIvTutbhh oJPM2bszOTzelb29HRpDJe/Wu0BX2HJX9H71tVzkbPpObiY38vn+FzLqjmUkJKBONzDEGxkMh9qh xtP1Bgr6mYVzYm2oKH4FQ0rpGV4P2emF0hRWq6Veq0XdMYFgmKXPF9e1wntC816EZihfsVAXr19e XstgOFAuGQzb4yeP9Hfv3r6Tyc1UdlX4z2ggpucOykYoovYrUS8mXpYLObqxitQaqmbE+RnxRbmn hhANK9i5J/Lrwvf59cNY2bzHBjyfM3FR6JyKc3mjBvPDFnDZMB6apDE72wwXvWY9/Yx7VO7UheVw z8Cx/5hGS1cubhokO3xgX0NY5yEfJUSov+4qo2zFTaKjy9IAv1BVAQOK4VV1e22VEvaMYZFFYxGy VEldFoY3usQtdwwKdAQw5uOiNoQg+K98QT9rJRfeSdmPnYLavvs7hoMJh9HtMhRRD6csZTgc6cNf L6dyeXEl09lU7wF660HV4C/+4isZqKyMlxPllLut4VKGg+h3A4ClhxFNd/KvJIzI25AjZo3hzWQi l1eXsnf4lIRKDXvqXYp0AWG3BsBvjxNHBT9rVa6k1WnJdsXrXGwW0j/qyJd/8VRliptZrnTSBq14 7eXHPoyYH8oRMxUO5TAZbUP/HRY1WexB+0cLlI3sqYKFLGZG4oLQAistSLfJZDqdSbtVaFNV6LIh 09czZVzdXMzrg1ii00Y0AQDBQchT34GQe0PbyAOM1xjY5xqGRiMbPCmbfE2SqXebikkcF/ZLvc1E X97qCz0xQpC/kq3dg14GTdsogn3fyKwNWJPmcN+n3GmM0Ui6qd+dUND3JdlJDQ//SNQIzZfDEC0X M72hyAb2kKK2ynfvjUdgNSolYuDfyyXKMUyWGDuuFbxCThcyugiDStvtSH8AJsUCW3rr1viiooYR 1rbLBcf0PqVtkQbGM4fbTSpDvWOJ1typEqbhD/bYiHkyXKEeuBP8OMncEDsXR+VfoNFuTV6Rwj+/ OFfPYXd3V8ORVpbLF19gsXelrDaSQ3zNBjWuKMPi3gWpIcSwQj2gAdkMlZIOpWbcEWLDSH77zXPV OX/69IluIldX13JwcMAMlPGy1Fg0JqCOUuTp4VORI5FqkUzpvJKiVwRjFUZN8YJTNIQw1igjJi54 fJVWRnZNsSfie+kG5IaBYna+yQAmgKfKwnFVxTDS7ze/fibnZxdM9rRacnJypOEgsqNOIIV3hWeG LjuKJ+q8wyZF8T+Gc7jvMLDW/dnkhjxBE/iDKanTXgM1Ja8w303iO2k+65tcgK4smQMPMeVCewem QJLG31q+RvoNcDrUFWbZRis7WK2B51jKuLWVJTYagJLvMVrZPeJ+Ccf2zs9U32Ogmu93v8Cbuuo8 qxdrJBy3398onBs0GI6Zprcnx6wcdyO67CxE1U3ctaVUfoXcFr9y528p52fGsIFpYmJD6o0Fg+QZ PNbZ6eft9VgyQywM6Wa+zxn09VDDddL1YRhnK72RDuI7oI+B8BWhHerkIsjKqn4VHlTG81revblQ D/QQzT8XC8V6gKtdnN9IWeUaTq0XKHPhNUBNQEO2HKx4ehCePkdLsBrjvWQNIDOrvB6d+AZEozv2 zv5YHj16oDMH+I1eU1XJ9fWNzGYzxZ9UCRVhJwquh21ZXC6k1+5JBYmbGWVwltulLDdLWW1XUoxb crAPZdj6oBGN2bdgzMx4hcxMCOWzsEnoz6mQYODbpasnPlfWB+a6WZZbYJsDlZLGwn3y9KEcHh2F +YF+ATiuS/Wg+w5CSiQJcJ89iwe8URNClsXF97AZBecVQlbKLDM6cLlknKtTdfAc8TzgQkDyG2fL eW4eZEJsDQB8UHKLKrBeNuUD6wcjHAd51k5bM5c965/QyzhfDjqVDLKFPFshwr9fifR9I3ufV/aB xgojBeEVgLCs4V0G7/cdLhYIlsE30sVmvCuqXVo6tha7m7aVt9G25pXclaLHwtQtGlEsZWdvn+B1 n3woNV7Jcb2v3W2Atn7HHQdSTovhXBwRS2BmyXe4eucYV9L0FDMMjmIJWABJpxrozivp1Qq9sfuD 6b1cz+XlqxcWRWcK+D579q3MXi7k4vxKGfn7+7tStDItT6HH454FF0O4XivGddDAtfLBabq5mcjL F69ZJG2NDj7/8jNVfbi5udEd+fj40CgE5Iu9e3euG0S/15f9/T0ZHPXk3bt3MltMVN4m62bSGbZl 73gsu/sP1CteLdba2SYdseug69/HjKVvy6FZhkEEk5srxa5GY3bIiXc8eYa1ZAmP7fNkU5KvpBsU ynZuJqYEwuTGZDqRi4tLvd7Dw0OBQi4+e3J6pK9/9/yVHB0d6L3HcK8G8/j16zMN3R88OJH9A7D1 6Yn6RqE4bb8n7TZKfDgHvGDdOVOcc6hssF6FgbpwNzIdiaZpmGmPGhu2FXwHLh46E8F71ZA6qmvg 9+0WDBgqM6EK8sMN1n3jh9q+D8T//yAYl6befEckgY+ZwBo5z5ja7CITOy8DIIUhCBdWVaouCbkU 7ExQ08RihGvvn4EGkV+LlvWoQid30Qh8u2GsK5EhC+N8nhTLSj2B4CUFCVpTLk0Ip6rcBSWEDvA4 4C0sv4FEDOVvuybbTC9Hqo0Meh2ZTloqlTMc9WU6m8jh0YGCzof7+3J9fS2vX79VMicMDzyHlNzI 4Z5Wml1iCHp9dS3X1/A0trK3u0v6BTJn5Vp/N+z15ebiRkoUzAYddYRSHRmPCaIvlwt5+/adXF1d ycHTPfnk8WNm/Zykat8Jb+x8cykX55fy4NFJPM+GudFnbb/DVzoBkiFQi55hUUjfQlwPlZrJjnpC wcm6NHzsokTBQlVhmEz03nvYfHWJPpYdOTp6FLN9VaXUgNMHJ2p8v/7lN/JcNbCoPUVvuiUHRwfy 2edP5PzdlWw3Z3JwjCwuvS14wa1imXAJY0ccJyuDhqLPTGtJucExYRMlqiO/jtlw1YJTBQrvrekB GJd9qM8NxGE06O3KfGEAvOG6Pnd7eSkzGPbvWcgtb8iSvBZTZb/daH4++xCjxRaSv/NRAAzVCYkU uWZaCK8Bw4EHRQDc8iSh1xpPG5k8P3sHQVU4zjrvkB4R/UaGk+nErus3pfG//+AhqytFuJcSFz0W sIOWbuxMiM+MsIcDwVlQXg1JloGHFppSOIBaqgGYTyYs+FbRuJaGhd988418+dWXiiddXl6SE4NC 2VZLvvnmuXKbHjwkHytQ3LzxhRXX+kK+uZ7IN18/U2MAL+DzL35W2wFhIJ//h1/Js//ln6TX6sj2 50NZf3UjRbcjvQdj6fSxGXBgY/jkk0dyeHigID28sdHIFgD3nDrC2pjSWZJKwgJleZUtxgJscyZf nDcFjftKKIdDjDAWoTvmEz0MpuWojhDTUfBskKxRCgoA+lYu/eEgHBOesBopNSw8jhKRdRMq5enT x2rQ8AfGC0ZjOBxoooeZ1JacPCjk1cs38ub1O91k4K16c16vbmBtqzfAoJ49XkcT2DfP3sn8Yimb zlpGh0N59MkD2dlBn0XnUEWH3rmCKnXUSKaE2xCEKxOMT6V4YvjtjS9UZPADVn6WGK0Qrv6OLIYe 83uyh7c+I7+fEUhBrpeODIv3pyOWBLkYcIHsrYEhXW9EiSYFAKkVz8pzGe/uWRMCf3ARn6K4GjMk zoNywTViCfXuL3WWc3yo0QjwtahvlO70Ufed3+leghNPkXcgCIqkADr0sth7K5OrK1WxHI0P5Ozd hRwc7CrQuNmMlbiJRa04iZIxd7UJBQa8gpcIVY73ZTZFyHgpoAqdPDhlTaUagEJm05lMrm8UVL68 urZmoJwdPncXk7mUL2byyXZfsnFHtr/eSus/vpbZTiVv/tVQTv/u8/Bex5/gQWGyv3lLOsPpqRlP GywYRjkRCbJpdjBlbmsTB+tGHXhW28gMpwhd+HIdUTSvPjy7ltJT1DACWIYGVtHWhA3JsYbxVJWM R+DsuQxLzBJjE1FOVYutybR7D2ABqLjiP2Rsu9aGq93WDeS7Z8/lxfMXcnCwr2FgWeYyny/l+ppN RPBnuVjqXJxdL2V5tZJi25ZRewRUU3qnhew/3NNECOpJtVXdfKHZcHi6ek/7PdkZj2QwxFrw8039 nEijiJGNh4+mSuHRDq5zjor0HklQ3zeSrwl70+/IcgCzUtxL/rij0HZLJbEQx1fqV8sJDA9HS3KS rJ3yrrTlEUsdAGiq2FsPO6QBncnum4ZCLpnimUKV+VUPzFPjlvZ1tzqw3iKLPcW8nNUe/p1q1Kd9 4uy6lOi3XSWeF58GJt52y/sx2tmRqtqR87NLzXChpOji4kpGwzEXrnZLRgodC4hNNLBj7+ztyvNv X8j/8/f/WU4fHMnu/o7+PJ85Yz2Xo9NDWaH7SyuX00cnMtwZaljJ2xPlUcuLpVTPplKNCvnuk6Xc XN/IX22PRDpLKUcArJcync6VpxRJmDRaJ8fHivO8efNWDvb3NNOGAVwM7wN+41nJNOPFTC55ValX ph6EGltkDDEHWDblJGDH1kMYnxpCu+9p5pTvKa0LD1+Ap4l29SBfehJjMGCdJr/FaBMutGjyMgib 0aAV4RUUSl2Tyik3OE+E6zc3U5lM5nJz/UrnWq/Xl7ffnkl2k8ugNWSUMWhLXm5lrxgqdxA426o3 l6wCQL6QkwdHcn05Ubml4+MjqoguoU9fyT/8l1/Ir7/+RkajkTz+5IGWQtUoFOZl4pgOEeB5X15c at9KhLlo/vH6zRuZ3Mxkgjny4HNp7xzWdLbeN5wwql/5O/R2PAuZmuCUjPqHoGZRBsC+3bXb3R1n I4OY0cjheVh6nrrZPE3d+UwPCrrtOI6Gb4mMLkZsXeVsY5IDPcWMA3p3HUykFFtRoTk4RzVJ57QO MoaaXGP1VP1trhNUGBBucHJrzSAyQUaE1GtvtRW0/dUvv5bjkwPpD/rSX1Ry9e//k/zDAn0Gd2V3 bze0IvcJxeSCyGDYkfGoJ+OdsWSffqJkQeBN5+eX8qt//lo9q4ePT2N4eDORsnzBJIG2NO/J5rsr 6bxYSznKJN9mCqxDEaLzaCBP/upz1U6/ur4y8buWPPvmmZ4DQkuEiAhdvvnmmbx48UKefPJYPZir ixs1XvCwPJdFjzOGNbxPEdOJyQ0+b9iPtVYDAMfi8286VgG/a3gZaajIdu+Q/KEXf/LgUMPkX/zi azU+MDJqWEMLLffU6XH4HIqJolzaWhqWkpJdIjmXg6N9vQer5ZESTNFirZzQiHdzqq7mnVy+ffWt 7BV7st/fl1k1kdPPj+TwwaEqup6dneu9290bB5gCXdNxnSenh7JYjNSQffP1t+p9HR4dhr6N2HBe Pn8t/WFPkwGtTlczo69evpYnTx7rsb/9dq7Jk08/eyI3i6W8WHENZt+zmP0ON0pAf2NLYvtQyLnU Xrcynz+0xLLGUJ46pjSMV9tTRE4BTtO3ogfj2ZRSWe4giqK+EA+y3e2bBK41NjXhPh8+oTU0Mx4V WNPuFTj+AYZ4YBeHkNCzMAnpM0kOxOPHRqnNLw4icvoai4eVBAsOlpFhkdmcTSb6GjSwUD/42aef qD47kgjT/+Mfpf0//yfp/8ufyelXR+z0EkImegysc2vrBISRwz2BWsPV9bVSAMAN+vRnn2ho4kZu ZzyW8c+HyrE6Pz+XBw9OZXIzkavOUuRfDaWabqQruQznmUwHpchpIY8O9vS+I7QEL2n/YF8ePXwg s9lUnn/3XD0I0DOefvpUmfIvv3sjpw+O1SjgvOj08LkqoVMVVr029HYIwkRCJP3i2JgX5B/RK1aF UhUxTIwFHwv5aMpu97Aydk5mpyHeC1wHBPQ03NqQ8hI0q/ggVUVV6S6dQqbTqXrGCNNDZ5tE/cE3 Q1ZAsL1X0FMvS5lv57IE1SMrtOP0WnsErqTKVUdEsoFIGwTocqseK7Ler1+/1vM6OjpkQ2HDWt1Q 4hl+/sVnWqf57NffhYQS5tGjT0611OjZr58r3vb6zVv9ezgaKkZK/i/v21S7bn+YBkP2WwDtCSk/ vnYHcF5jufwRBj2sBCMK2asGboSQaLVeauFr6KGnkRbxH5UgdrA1beiZgK+aOk5ayvvOk6rV1QAA IABJREFU6OoF5M6Q6KeCbvAAjPXNwJDEUT1ujUkev0fxgaRXnocfDC05vOSDsiimXa+6S8vQ1w7s arCsgVM9hnoB+vO9OJPFP3wn268eqHje+n/9dzL89FQe/IuvZLldy3Q60fpLGB/SEtjsE4THyWQm x8fHSj6FZ4dwze83FrzXuOEkQXHAfTg+PZEjvO/vuDO/+99/JeXzC1n/mwM5+ZefyPnFhRYtj4Yj +fzznwVRxL29vRDaO+ETPLKj0wN58Og0eEvh9qn89UpBa2qdG8/NZYFq2Vj3xnlvYYhbrrqA57YB d4xeV0owhafheCWpJPRitSDeC7etKS8oDMD/EBKBd4bF29PkgvefzOTdu7eaVDg5PlJPFAZY1Rmc R+bPGUklnlyYb3gGlxcXcn1zpeE0Qsnjh4dy/uxC1lcr6a0H8hcnf6n433VxISdPDqTMSnnx/KUa KISoz5+/sDrXtXRy0oJgzIDDoRWaqp9mIsenh3L68Ei7DRG/ZQlC0YGX1pVOga5THXnw8EQ5WXRn WGMbLuQHjpZJu5U/oLmq5kK8TMf5VHe9749kqHwUKdbDBR9vFAh2+k8ody5QfmENBdB1RP1O41Vl ualPUoGTu7CX19BrQrqX0sZWT2rxuwr3LVnEm7VZB4aHrulj85TYbyIWsAZCnrOxU+5WWFn8ve56 mpRyvMx8WWUfI7OHRUfVTBgtMNThNQGTgoeJSQT2P8ayU0jnYCzLrcibf/pGjv7vt3L53/+ZLMYo 3i50AgK7e/HipTx8+JCqCPO5gu7wUtGuHrwunP8//+MvZBdKCdOJLtadnV0ZjYbacELZ0NrUgeRG ptNbstrNZPplS/Y+HcvlDXb6tTx69Eg/x0ya0s6DwU4pBSRIRqC37vnQy4LHCewoRNBht/Vwz0GM kDeue7gAvbVQm7Wm8JI84YHQycMnPzhC7nbX+juathbCQRixwQhNPdq6YagmG7hjq5V6UYALjo6O lTSLbChwPCYazLPW5x3r89jPkKm8ly9fqleKTQX3Dl4cnt1oOJDD43159+ZMzrAxXaylK32ZTqby 6vVajdrhwb4aFxgpZGKfv3ipGxOeLY6N84OxRqIAXi54c69evVb+2M7unhp3X084NeBc+F54dN9+ 952cnpwqCRgbGvBM/L2CXFD7UDofaCgye0pB5z2qid/bTcfXBeEAW1fy4xw0WPaDelHblaw3M+3X NuofGMVhHVQliRWYJC9KVMIcjjQDlaaxujoMGANIFWsYBuwEHX+1Ey870bCIlmU/3e6AOuza6svq zEyOJgD2Gh7EuD7E2n4dqYtrLzCr7iA8+TTs4IzGG2xFhetDKylSIdgIIq7aTNq7Q+n97Vdy/h// UbpQ3Pzrp/LJ//jfyfhoXz1CGJ7XL17L7Goh8/FS8mwqz/7pO5m9WUg37xI47rGObTXZyHZ2KX/+ N19peAOi5801dvypTnb8LO/O9DMHh0dqDJ/+7Zcyny3lzevXylLHgmNT2ojNRdyGNyXlQFF4kJrn nqRwEq0bFfN9AxBP7N+VLKJAn7dbS5Nfnvom05xaVrUMZLKfsJYQ54MwstDNDs8BniCkb25ugGMy TMRmN5/MlasEI72zA6mjvszns0BjCM1q0yYnVnVBr2olFxcX6pU9evRQvVLfAWH4FmhuO+jL0cmh jHeGWmj+6tlb+fSTp8pVczwWc/bs7TtZLKEYWqqHi/kLw/fm7ZnOq4P9fZXgxnPENQKXwjUOh33q z+e5hvwIG3E/Ue41HAy0VvT65pq8RXj5nbYUWVfOZuta1PK+kWYG09zZ9+FfqVrDj3lo4Z+WGmSl rNYzma8B/JbS7+4EZU0lklrGzkttdNdvs1xB3V+bHCi8JbZEUBt3C2lr3LnhmOzlWP7D+sTQcDMY vEj69Lo/12LCxGM4SqA3Sg578wnTuEo4pyELmCxe9frM4LFxaD+A3QhdodLw5uVbefqzx2Hn7g76 cvjwWC6+/r/k0cVGiv/pX8vBg2M1VgBdtXQk60r7oi9Xi4m8bZ9Ja1bI6RAaxHYusKRb4EELeqh5 Swb9vuzujDQDCQN0dHSkBEpkHVGj9/bdmU58GEQYN4SM4ECprI+H8mkY3gjtWWyMe0N5a3gYeGZK cC0g/UypYb9XqYPlWddgisLPHlJGixVLUaKRqp1botRACCAaNSYdbvR1DVsrkTev38rsZipZa1eP vre7pwD8ZDIJuCfuBwyWZ+KoLhJLdXHfzs/f6fugAouwHMaEbH5WOlxcXjAMzgYaSqHkCQqkf/ZX P9djoxwLhFz8G5I34CgeHu5rO7cXL1/JP/3zL+TJkyfyxRegmLB4GSRkik+iryPoMlO5uDjXUiIt JypacnB4oGEk6EDg/AEaOD05US/yxcuXMh7vqPF6Pr+6Zfjvy+KlILh1igujwcOOr9v//tjh3gfX EuJkZ8srWa5YXJpnbcmFHghLFtjeHZgS5Ejg2hJ3Iq2B7cd5wNw6GM8mN6pFjskBJrQDrQrmejRi LPQWRH1CU86ot+XZShQaq5KmtrHa6MTx6i3P+MXSHsfFTMe9gXf50tPXw21IMjC2QwN0h+wKJtG7 d2eKXeD1zuGO9P71V3L1/z6TL/76Swuxoia74hBZKb2qL91VT0tj0uEt2IucbajgJWjTDvRiLAo5 UiAe/faGeh9xDw4PmNJ2fa+bm2u5mUylylrK+SGjMpIRvVaPvf2cssL7552SyfehJxRkrr3GL/HS mphm8LzS0VAvSF6+VSYVbrLdDQfUcZ2oD1TiaJ91kU8/e6yfe/XqjYr1IcTmcx5rRhWYoZNrz87P NMwDFw5fp57Nu7cym89kd2dHHj/+RD0dL7uhAgg3VOVdzRfS6y312eDeIySDYYRX9urVK3n48IEa +vlsphuKl4Fh7sNbg5eGP7iX/R7kd9by4MEDxSJxfIR/+B0ytvAK4c1pdQO4fj2Eu2t5/Mlj/aw2 5dUeAliLIp1sq6q13zd+SAPVn+oocCOgfT1fTPWFveGxYgvsllxag1R6JKvtQqocWIC73wa8WpOE 6eRKik1XO6NAlmUw3tHjwCsCNwb4UKXAML0x4EgsTPWaLUqXuOYUBifWSkoQWgGgBvoAMTQA2x5W UtDO2focdA68GDppRa91ZVGCWd9r4D2VVtmtemdnR9ns8HKODg9kjWP91RP5+f/wb3TSqYop5Fyg FrFYyPXFtfTayMC5xpJxh/RM43lBDRQZSZSVjHZGlnmt5PLqRo40U8Tz1Maq2prKjGLRkv29fV0k 8ARQRwiGfCDNmsFmE08wt1f0gNUgoVHIVhcD2ul470Rcq9Z7mjfAGx+B63QzSA1T2BzsA4lfVaMw 8B6A/e2sPv88P8usMcLMrer5ewsubjS5PHr8OJTd+Ofhjbliw9OnyOL21Fs517pDGuejw315+uRp oollgoEqQcSaRoSI08lMNtsbNYK4B6BT4LtxT0BPwPwa7+zo81Y8dz4PdY6j8Y7qcQFOgHF7/fql vHj+XL766kvpa6KgqwA9NjJgb/DOEApeXbV0bn3xxRdaHfLd8+fWQaeUyWSqzygz9dLDXi6vppeS gVh7j54ahnK2zatyHAsj/Gzvu8/0pRnGsM/8CID2dBTz1aW0MmIFoz44Kh0rl/HsEYFfTO7FZmaY SYOwaaUE2Omw4+wdYgeiUVP6A6Q6tMcbO67kGfEr9LVD597U13HpCp+w7JZcqNSGGiZr5uDFzHgv 23CRJc0FlYDDTkg07CDVR4cRQ9uqNFfrxgr8q4ePHmhYBhf+5ctXii8hqwgvUXvfJdLM6tFAVRX0 g1bsogzFz5nM5OLmXB4PPkmuU3cBOT45kuOTEz0/THjs4Lhm4DfA0zzU4r1UIppl5wpViQB2Ag8Q ocNwODRaAnlhWHBYVOD5XF1NVPFgvgC2xpCelQWux75VntiTp5/oPfZsrntA1EePHhieMxjf+B0E BaFVFYfV5SUlT8Fbs1Afzw4LH88E4a0mJNDivkcJIj8ON7OYGIKIH4zS3t6uPDg9kbOzM93AEFbj D8737Pxc+sgcIlkSvPlMJXlgLL7+9bl6XZqp3KK854mGYbi/SJKcnV3IweEhs61gr/covAhW/QRq EMr6zrWiAfgi5gLCTjx/+PX4nGc8YQTfvj3T67y6hmZ+KYvFWj755LGSfb34H/NZazNLkX5WyNd/ /w+STRZy8OkjGR/vS35zLjLYhRTIvYs5lU5W5MHWcJpsfF8bMG7iTIrdxVH9MfQyLACoQ9yt3x1K p0CMHrs2e5sv3W02EK5rSTsDoZOTyGcD3jeZACzsy3hn18JE4loa2gGw1qaX4MOApIdyBmpK2QGs rAStxaPgHhVBTTcenK0cRpAV77rg7DyR3fLQMOJYZEQ7x8y9gHppROwu48W7bHxQyGDQk6tLaLQj M9RT2oBjOQhFkP359NOnfMhJlhUy0HnJpqU+dOEXddrxGl2COqVyjjBm04kuYICxeB8MC4wRBgxR oBOY+JxXBuDcgD+9fv1GfvnLX5EA2UGx8KEaWIDCu3s78vTJJ7qAAeSykD0V/6Ps8Lu35/p+kGR9 DngRtxshGDIFsM+vGFIZ/+r49Ch4XOgsNLme6UIe7yEUqnc1IF0NGCfIolDxAODPjODbb57pOcLT 89pUkF9hgLRI/OZGRqOBAtX4Pm2/luh3wRvumfFOpZH0ve22limB2IGsHL4PoR6MZJDsUa2xfd5z 3pyAs2GTgceLSAAbCzZozEV85//P3Jv8yJUtaX7mc4THHIwIRnBIkplvyleDau7qbjSkhgT0ogAJ La20EbQQIAjQH6C/QltBG216IUAbAZIgtARJKDQkodDoQreqq17XGzOTTJLBYMwRHj67C7/PzO69 HmRmMof3Mm+CyaCH+/V7zz3Hjtlnn312Q0iI50VIu7Rs5xcXgbXN7cmTR95fsrtsB/v7en/hvVJ5 oM5MNTv8+VO7/B/+Hxv/1VPrPjmwlw+7dvPf/p9WP7uxyz/7Y9v+T/atsVR2Hfq8IxtH+JNbPD4L y8oVUuFmv3HO1MD6tjyvZre9qR2X3cNLMrIBKjuEZ8/G874hOlqnK+dCVtBUUzUc9GxldcMpD2p1 j555y4b9ni2js4WYXRi+OgW8UwQDB9ZZXV1oOZ9lObmbkh1qhroBu6/Oi8JCth+Pjiieji07BrvK QLmzF6znUHVM4B+vr2kNLXJc9jRa/AxOdnj4WtIyRY+K7E8nwqLLnORCyd9HjW9Rq0ipx3SOnjsa VE2bDCc2no+ttml278P9kI32aYX2FalyDIH67Wm86raNdEp4Vr4Z0BmnxOO4NVjT6HQhJ0zTC0pC 4H4Rrhzcu1fhpfmYVblJ/AE3IqziOvMoM27gkhOFT3hVUAw4//rGHXkjwnImU1EATp6fWu9V32qj hjWW67b1aGC7D5zpXfIlvFmpPJUI1zBSno1zUT8MINfkHuSxvRoNhf1goOnYUz5fvxlG4+wc+khT BMwy8bBILM759eDBA2FTGB0MnG+u7r3XKwZdjTo2N4V/AYwT1rEZUdEBteH45NhWA+ukggEDCJaG YgYlUesb61Hu5VUBvAcqBqTivPeXz17Y1ta6NS+HNvnVmc1/fmqrq1v2y++v2P76qnV+eW6jq6HV KiTsLzrSUNXe0vXmXblZbzsKLl5ljnyJy/raR7Pd8rgcw6TuvaliWRHHa7c6Np4NZNi00FUQ7Rwb QjuMVdG7L3Yy8WxQbpAB9HIcCHvgWDxcNasU/wklBJclzg4oDk+5kgJ/O5nQQx3P6mVDimztFNIx OSH5L9qHePp+sVQn318y+kNAsFDDxPMmYbBkTz9+Ju0lz2ZG63VxytybqDLC1SFoeWY39WubjKY2 uZiqe81afd3WtzZkrOQhLdds+X7XQ5gQJbzpD7VQHz7Yjxbpdbvu9URezQoADiUvonA5u/O4XLJj gxgWPCk2G0JMQiA8RkKgJdjtlf6QVSKte53hBKY8cMzIk6NTeV/I6oCXuZpC6bXgiV7+8tKuTnrW 7LVtvbkJdKON5eKTa3nKOw+2PKxkvOfe+SYx0vTeGN+Dewf26vBIuJKMU6et0C9rEDNEda+5rHTA M8LII22USgeZ/VJD1iLM9COfM/PKKRruOeLRcU3qVaiEhROa4Ud9+uxTjS3lVQhGnhwfi6+ncLrd tidPHutawKwA7vcP9u3s9Mw+efpU2UnmCqGskkfK3Iaaa8PX2s73H1rtv/rH9vK/+9/t4t62rW4s WcOOrfd7981+vCtIph6NR77McRvLyte+Ii914WBaiuI3+/V7XXxXU0YqZIE1AaNRhDI3uSvWnAbb ariB4cokIQt2EHyWaqoaD4A78Gab3lXXDVh0EwlXRFK2qc5YFDKXlfmEgq7o4EZS0jQhWeMcHveq MmxJ7peMURTJptfEkQZKmb2Kp5h4D/fuErzexw729OujY7vp97QTK7lAeIsB2HTsrbwGD9N27iEm t2Wvn57aOcoPYQCKZrBBZkUJFFY4HAeuj11aedcQs+MgDMKbIUwjxOP6syZN4dFlT6EJi4hFhgfA cMrYAdwuLdkPf/RDeU3s6khW40nnM7htyOVhjcYKu6SxNTc7e3Vihz95JjB6ZXNLYbyIj3X3SBkT jO7q2qpCocunPZN4UxulzLEaYly+uLJac27bexitRrGRabE64zW27UjG3BLAU+eh8HYoEibZwLPh GnlPrzcUj0njEBsIBkHieNmTslK5UY7fZZBGvVuQdOolJzTVuKuRqq4xiq3rbmjJ4gH4k0V+/Pi9 8KDgeo3lJT95/7GeHZ892L8rQJ1rgyTKfMELo0qBayVM3NratvPzM71/9/e/b5v/9RN7/pc/sTs/ +dhqf/Y7dvfH79mdH75nf33klSbvYrBu52wLBvtto2Vf39DcDiNDY/MbPbhW7EjTF7ljBSWXyS8j 3WKFMEFBSI0k1xTyoFbAfIVpDhazgiyIslXRN6/VCmPoEiCEhXhcAjPlkXlGpKrwQB0Zi8MBfM8Q abJNSBW7RAq/S+ykEMeLjFvKolSfSHpgmYUrdjkZSFd9xKCww5+fntvD9+7ZVe9aOywTBRDVsYuZ ffrpc50TDOTuXYBzpzgMb0Z2eXRtK52VNx8u1zMxm/S8dVlOLRYlRvPo6EgT2l/zkhWMUlIHsukH NYcYKMIPtWOHsjAaiUZCSItnRSjDNZFR29vb1TmzMYfOnyoCcRBSQi04evHaBit9Gx/f2OAvXtrm LwY2q83tafcT6/7pPXv4b//I6t2Qva7XbX1jVQsSw9jvDm1yMZb3fHp5avObuW1tbAhUR75YygxF iY03qJUqhYz62F4fnUoRYXWt65IvgV86TeFEm8t7jx5GPd+RsCNoH1lHyKEyrKLTsmNP5VRw40VG 8d7BPZ2Pc6iekXkJSfWGhiNnSrDwO85DmEnyBVwQSRr4cRJCPD1T2Ora7I4pAn8w1zGCRB4itQbZ ltt1jLSrc3mdKTWsoxAJnKsRypO/97s2/bsfmlpRhHFv1srysndd5Ld13gk8suzm89jvX+eI0s13 OhbaA1R5k5kEqDbJ8K7trndUSMskeTLE+mQUass2HPVsVBuWrZMqrGqx30PZEn1u+FrsUr6RA2y7 tpLzbViEXvAMV6u5Vuqpu6qDa2Nx1eJ70ROkBlbmyQBKgCB18l2klMtBKj2TbEeV15+xgRaAFEZj 4U+DbhBeGxwlvoMs4TGZou1NZTJZjKSgmeiunprYke+4YCcsICYgdI7+5cCGVyNbbr9psDReo5kN r72tmiue8p0DN0B8D0DskEwlWb2Bra2uFVk3FhRgLgsJnI1FJA93Nrcr2owJP4RVvarwSI1tOx1h L16qMZMUCj+DL+YmkM9y+86mDZ6f2+H/9P/Z5mHdVuew331WHVyt2M2/vLSPbv7K7vxbD23rMYqf A2E6LFSAajaglz8/tGFvaKPJyBrWsPnY7OTZhWSZ773fsaUQOyREYtYhUnd1cWmHL17p2jCcGFl4 T+ra1GjoZ+7Xm2/AHWsW2TglHoqyn5JL53O51Ot1vGUqY8/vVX8YRhvMSYx4ZGLmFsB715498wJl ngtjj6TMYOC8rCzBYfO+f/9+KDaYSrOaV3jh6zJeGCeeGfNaUjkiCy+pgJqD50vNKCEnxdwoOQg6 qDWtWQvZb6vbkl3b5EsgTy5cs2iQal8AyH9j3lAEZzKI83frMF1tAluw9G8d7ltWjFPRZLIQUUPu xbNVhAXuGntBLZPE2277awqX2uwwNYWM1IQx8DS4kAclQqd/HxPQcSz/PhUhy0iBi3i1f8qc4FFx 7ePRQDsR5MBs2lBkNEPSN2VOSnoDCxKC68TG9AwUNYJdjXvJwmjH77SYB0O7OLu0k2O65AwkDQK4 mmFFNSzzZhupAoDYHR7YlTWmTatNS/2mIsZJGggtqZZCyBCPUd4sIW9DoQJkR/rtsauTcpewHJSR AG7JUroOk+vLy5MdjQOsd4oCR0pT81kWKZIl3py2ES2wyhlb4il1Wz3YtNnBHeu8hHm+eHSP59Y6 vrbrs0+s9/f7tnXvjrJ42a6K0HD7YMtOn17Y4/ZjNXCltdh8ZLbUXhKOhv6aPKqSQ6xCZ8LsJ6FW kEXQXBMsc7xYMoMOIST+5Lw7L/Pxjj5Jhch8vrfUckqINoA+m8KajCvjwL8ZG9ju5+cXwvru3b+n 8Jj5CGZHfSP6/ZwfI0XhOkkDngNe3/a2a83nvLh/7568PzKdGDueGUx7/sazcyPqMABUE4wgRhoZ IuFnKOIm1hjTBwXV5oTM5I3V0KB/B20sDEdwsn0dfcnsXvV9RdXIZ3hH+Z6qkUmP7suC87c7Txfn F3G0KMt2Q5FaVTxodmvVNGGoFDe7Gw/hseBZhexHSiGz86F64IW7LACXo/WJ5KOv0FIts7ZDsN7l jx3vqqpGuOMq2Re6AINntJrWiO4++VDj8kPNoQzMRUZUaOiLUc09ZTeqHXswpC55cn0JZ+a1Ut8/ /NH37OSEhQKORIgTSYXQ/vbw2KV0MTbeKr5pR6+OrDauW6NVV11mf96z+hqikU1rdpp2c9238WBs 97fu2ssXL4swGGOEtwb2wRewwxOGins0GEg5gCvHoOLVwD8CK5MhH48VqrLTk5XiPbzmLHqAbsds hM0xfgK/Q4XBebUeOoVwYH25ZbbesnF9aq1Z2TtyRuEoWvKzhl2/vLbO+aat/nDVJ5Oyloz32DZ3 NyTL8vrw2Or9hjVpgdaa29Jqx4vAh2RlKetyigWhEB5jq+Ngt3O+SnwQD4VMoRvdreiaDAxRs63N TXm3fB42uYf5QUqN1QNWlYYKD42xgXYAToVRpzgZjwm6AYYGI3Qcnqc4d6HRv9JdcU9rMpJahLKl W1s2nk7suucZWa5JnMBKq3oAeObw2uqK5sqnqJ5ubcq4o4DK9ZC48GH2+ZvJGA7Gh2u7u7tjzy/O bcT1LMPofwejpZP6c85SnXexV+9iYNITcggmPKa3nCPxp7d9x2fFuJlxv30006MSU7pQP3B1TQm1 RWYMo+Qiei7/kqJ3BXe5YmQS7MZYsRMtLXUrFAC8AQT3aThKXO4eSzAMi9KPMpPnDy4lZcW8V7ux shFlgpApW7NYEV0K+pU1iiUDXUz68ciODl/rc9/7/geqyJfW0e6OYyQw3IUveGjrwn/UoSUVxI0w J+Az62vr9nLplZ0fXlpzuWYH7+8pXCAcBpS9vKA9V8/2Dw60GLlKdmBCyt2dnYXyGJFYr660sFis acRZhPxhsfXYvccTGSuMq8Z2OlMqnuwUWV7ODeXBPQE3WG663agT+mLoEre5aN1Ye2NqW+cuH1Nf a9vZwdT6s5FtH9atdXfFOjurNuqPVT/KpqbkRwDeCOXt7G0ry/ni54fqSrC8Qb0lRj4npOvxH78G m2rJe37+/Lnt7e0VbHONOdSO7S0ZLMiagO14Qx76dkXAhG5BVnUFNnqcm+d0FWMHvy2NIHQDyKqU 2CSdhXHFw4NLpVA7Snw4SGC8POwLF+QgnGO1YizXN11RFBAeYyVvU4X9rjLBKbrLTjdhM1paaomZ z8aIN7u5taWGvHiR8PqIOLhungX4mORr2m0Zxm532T5YXrKffvyJTXfet+aybxZfdCSJNERS3s1i lYInn33eWwYtAo1i3NLgyVC+BYh3TzooTRW1qAwl33aoPD/xJ/Vsq9HlGDDctbVLT8SNlbpAh8fC zpB1WdVbKxpZTMYi2hFy8Wsxy8F6rq5sZd3xB28+4aJqRUOIaNeUBhGPQn3kAm/Aw/N0uNfBeaNW L8lRaBJcq/TOEqfK7j85oo6x8X7XKN+/t194bMnMT5kcuE3lU4yWaFoUuPneZJWFwU7N55786D2b /2CuyU4FPuEYT9NVQNcXeWKFNpUvsqJUCPC/15PRAtQvvc5SCtnbs7sQnkL28NMvLqhTdC0pdvj+ oG/PXzxXSU9JA/FxYNjJkEGzwHCQkRzt37UX7V/Yxf/13Lb7SzYfTqxpTZuuNmzUmNrKTwHRP7Hr 3zmzjR/s2tYBtZZZGJ/6Yy6W2NxAgmXJOkttV6Y4ov3WlbPcl8hMjqzZrksemAHGe8SQZ6LDM7kQ SNeVlEBfjI3D9aN8HMGLMAp4mjxLDBoeNkaJzUIUi4sLGXG8rVWVczG/VzxCqIhCYsDVpZxEzHQq g/jB+09cw30wkBfNsyTqwIgy/wjlhVVd9uz01bkdHb6y2hOE/RoKL3kOwCTZz4DCaTxsro+5kV4f Rpf3UBDN+RI6cZGBqZ79Sqdt/dvx2OccVazqjfKbzzBKby0BfYcjVHy+1LV5yPtu3yfFuMRmWHyw xp2ZXK3nc7c0PZ7cqdJ1rxbE5rWyMyAjk1iPtH2GQ0m2bGxtBw7mnkm16cAs6wIJ0zBEIbRngJ19 aqwg+ZEad2PqlIeUJg6CYAjZLQxMVPK7N7SoSEooBPgLVsfkYgIDwLsSAHrjyZjXwHBHAAAgAElE QVRPAmLoShEeNZrycqiyX2B0V/TFUl2i+kTSGxQzPLApjBvGFm+CsQUj+fST56JAbK57371Wp6Xd ++rCa99Oj06kKcZn8Iwc1HWPhOtk5weY57WdOzsKm9ixJYfTRsfLQ11P32dTCddzX394x672Lsw+ mZittOx4fmk3g4kdLG1Z43xoq08ndv36yC6vRtb407qt3dm0jrBBNjc31twuXt7NNbI5fWUS0Szv rvl1kuUE1+Gakr3OmEPqZC4wtqhqlEaa5z1XZyKwn1x4LGhKhD766GONE4YgidB4jXgrQBx39+nL 6J4kc5KwH2NIkoKNgvFjbLygP+CJCsZHFQEGFnwKgwpwzxzd29m1509f2MvDI1uZr9le/Z6d/7Rn x5+c2aPfeqBn8OLFYbEh8XwxfscnJwrdSSBAwcCzY4PJvVGlYsORDO1NhL26viGF4tSDfjHFIXGk xLCixUGlvM6+0eOrnu9dPuedn4OuwKRRet+ol/NQUZm7LLHRjgN24JIyzvYuF3B2pUnNrATyh7QY p8ttZ0kyLhn6tdtgUxBQS5KoX3i2BPdrS9levLWybVjiV3NpnEsBIZIC3lo8WfN+o1Xms0yUdgLf VbMBKaHC4/cf6aGCweHZINqW3X3S23TWNwWwdRsGfvLy8KVCR65PVI3I2EFJYKfmM+K1ZSAW3Dc8 AfAJMpGPH72nxcBuzcJgbLRZjMb2/OlzOzs+t4OH+3r91fNXtrG7YafHZzK0Z6/P9P3f+/CDhXT6 y5NDcbAIlTy7hteZFQeE507sDYn0HCwfw07Damstm7WmVj8f2gfDVZFjZ+gzxVs7w5qd/7+HdkEZ zj/adIno0GiX3I7S9hR6j1XOI1Z9F5HERtFx27FOr81MXp0yiDOkcAhVBwpZszcABo17K6muniWl vIjXCcswfnyOsT3un8hjwmCfnZ7KUBN2+nV5dhcSKNgaBe4Y1QlihuKY+aqWFPVNTx4Vxopnx7NX Y1casAzHNj+DFNuwaXtqzVnTuq2uDUcNO3lxZs31hhj11umoES5rJ9fLy0P0zbY0f5V80lxz2Sfu Da/8/v17eh0Y4BefPLeb456t7N23jd39zy2Irhot9sgJOuxaZP56KcTzpvH4Teu1v8sh85yESyYu Xg0PEoPEhM7qfXYRgeLq6RfSuaHnlIvZG5a6wdGEAktBMXI+s+7qhmNX0ZK7bM3lNXFefOuYUIKN 1Dk64OnfiUvNQoLjw5H4EYB8hg1VrCy9Pwf6S92sxEbSm1Db+ZMLvxfc/jGcGDeCJbnSPwO2QFhy duoFx2Ah/M1YffzR02irtacFQakKCpfc6tXluQplc2HKKMInm04cu4gwEA8PYJyQiRCm1qzb/qMD bSCr62uqzVNbqU7L5oTR4HgTL7Kd1+YCjdNKMxZ4NXhkYCMY91dHruiapE+8BHAE/qSscfK8+o2J 1f/OrvWXT6310xsq5d2oJFMEj2/WsO35ik2uTCJ7eOiEx2RP8RR4JsyLze11JSLQn1fzh3ZXRgks h4UqryIrEzB4SL7c9PVvQjIyaLyfZ442PsYJrKnUVpsJ6yNs9GQFbe1byuhV5YqkaBvzRNlwwPC1 VT1HcCSfwxERCCLx5qcoMPA6uCObCxxBvB6ysoztycfn1hi1bDztaTPbamyLBtTebVijixe+rfpU jFPO7wIMz36O9ZoNI/GUApNJSlZmsWa6VtbO8ObKmjfX7yzsF19n1KiPb33krV7WlyF8/QYPR9pV P1WSCNXxlvS96AUOMoupXekBiFRKNphIhQD3lByAlYEJOgKe1ZSWWsFCzx2RQtEyHHFaAoaCbCKT CrWCZCUrTOE7CklfJxOm/jmt0plYDsKXqe8Ck8qO0UWTjfy9T4jd/R3r9/r27OkLFe3WmzWxp+Uh sdjnXpCMN0Vn5vv32NmS+Onn5L0oBeA5fPzxUxmhH/7wB5oRpK/5nSsfUBxds0t1yTFN5sQ2kknP a3gKGCDUGLhGzjs89pIWZe0ocWrWxF3qri7ZBz/4QFSIvG8OzkNIkUx5biRpD4QkNLogc8ZrECIZ FzAixvT+gwNrPm7a4PsDO/7pC7v8N0c2ux5Z+2Rq3aO51UIOYIiIwIMVW15fUSiNx4cRbxYJEsir FGKf6HtZoIDb9GLk+vAuipAv2pCB4RAmYciEKcUcSL15DL3zBX3MMPB8p5IYFTUOcQADV2NhIprH s4EDdWfbx5jPw5Pi/GTw+C7HZx1jBVfiWe7dvSvRyqy9pH4TD+7pz45tqde1NnqY9OicD21gfVu5 t2x7j3YUZmZ4KZXW6FPEQdjsjTlYY564KDXCkrYTXYEa3vqss7phd1o3ZkViIiMH/3s6TkPrPQIW D//uUmzxM0Kx76B3xdHM7Femvrl4duDsbJNdcMVxCVayV1M49pLqAUWjS53MKQXOc/LPYczwjJKV 7t8ZDy+QNyY6cwsVzGTca5eJshvAftUewjUiRJjOPMwE2Od9yVJbwJv8gkSavFU8ldeCd0RmEBWA zS1qxl7YR7/6xB4/eaRF3WzWFLrBwdnY3LLlbrdieDG4cR4x7x0PES8IoBXvpg3PBnG5laCJoDBQ t82bGwGtCbIW3l+qULTbkiHZv3vXPSgyWbQMiy0xcTRJyIwRNiyNVVlyE9pf6uriA9Jq+2YjHIew kDlAaLxM+/aGNqzh0McFWj6y1vd+95GNP7xnN1c3dvqTl3b2L4+sczSz1qxmvUdta+yabQwH8jg4 Hwu+d4O3MfRayV5P3gHyxBgB9MWYN4TiXkaVrdzwlK6jfRceLcXYbpgyTwA9gOwjWBTeDnNLlJDl CoG0giGWa9Zf5zMYSTDCy0sMWlNNPtS78OH9At9Ss9zRwM7OhrZzcKDnliVY/nxaylgeN0+dhmAz 29+4a8P20A6PDw0ZzKIKI4ozi8eiDJkbIWfT16xxpyHSNWPmXlYkMFh/imTmeobLnY4Nrk6sPRvZ rH9lNuZ3bopQczj86b/SGl7bPVAnK3UyDwI1qqtjzr+yqZ/f5p/9pguav8zR1E2G+JsmRVAFXCrY i2vVfj5F6FRL5r8vlCq1QKLLrTAMNywMMhk9+SCEgmQ6VD8Yom2UXYTFl8KCMotkl0YFQ1Z6V6Hh 7uJ7dWu2mZReAc+DZ8JBqPNsoWNnfj/J9XDBcc88UtidKg/lzqRsJYkEdtL9Pd0LipHgFChXskio BcOwKKTNTSjaz8NEY5KBdUjGmd18d7cwbJ6VyzEycXfgTZGZI62PYdJ1S9+LFmoTzZoZdZmNmlLp GE8WqsBpFnFkQ5ujto1vz7Dq9qnGIGVpknPJWLgdjQ0GT2B3tyvteYwuvCc8O7wcwjHKiPp0Berf WP3hii0/eGLXh+fWmJm996NHNq17ATKHOGGtlrwnUv/cuzrKqHVaq2iHhWHwAuPyWfCera0ND4cp U2lnmF9qz0v/PcBonpsyqXiZ3VJ6RWSWW/30+CyEXGmOTacaSwfjJ6pqwOBj9LK/Ie+DFrG9tS0d uATgq4kevKfVDQxo34bjmU1adTv4YM823usqrBa/DMqHNt8SnxIxOhIMD+7fU7UE4TFjzX2wfqTQ SyVKZAQnRBPzmrC0T589t8nHn1hraUVjdPL6yJZX1+393/1jOzv81Grzqf3rv/hzbZLijsH3azSF jX70y1/a3/33/2Nr30HFo0yuLTDiv6OSyU3P0BVsqkIxISd40gLcKDlEV4LiPgmm6tKcjGKnCfgO 4hhBhoilmFv5JxeQy6n4g/HGnP69aoAQhsrj9ZSHcU8wS3ootO5fXzlAXGlpXnE04t9l2yrXda8u 9MDVGojKLSnMuLOzbd3lTnh2LhKYomjJ2ys70aBs4ffKAvKxdXa/202ngrAIwGc4z+X5heuCPbjv 553OrHd4bCd/87Hd/OqljT49ts7upq3/0fdtvrZkza1VTWoWHJOQXT5dfOGIkRVLb5kuLlw7hda5 8F2uB7zSnz3hkLegn1qz39e94IGoFjGAXmSZAc7x+u7ueEnU1Uro2HdbwSIni9W19x7eKySd+ZOM dG/c6t2deS7gXcnBKykemnV65njwebBo2+HJK6St1TWGXDv3QyYyQ698wAkFJK7JLzCq7om1FKLz lY/ee6j7gmfFGAgbgwuFzvp0buvLy0GhKBu25nqh0H9an9qdH2zq+ymBUuH81KVx4FjhdXJO6cIj lazib0++OExBIw3fEJEEglkPCVXdqNCNw1drNO2TZ5/aYDy15YbZ+sqyzTtday2vKnFw8Bjczqyz smbv/eDHtrq1Z+u//Iktd1rW792oaQZVBiSo7j35njUB/ZXC9vodGeIkgwZAf0vg4jtxNL1vnZNB xaGRJxJtuYqaO9dIzwXtNWllozp+5UXR5X5GaCEQPzqjOAM9PLTYLVMYjdeYkJgpAdETwseykzNH AqFOdHV5l0KCONxuPYSg2yrzqcYNEYZKJM05W1VjmYoLyWlSaBIqp56VilKWyJTq+zy20tMtm8Bi dBvawWhM8PC9h4G5OIOfchuMB4ueBQN5kONkZPbyr39pV/fv2dr2pl189NI++W/+Z6v9L39l7d7Y CBRndbOT5v9m0x8d2Pp//u/ZeHvLWoRvQerNzUCe6pTi3RuVFXGZ7PJwfgpuV6hfMJYA14RSrlba lYdFU0/G4/69AxevqzdEkQDof00nn+C2Jc5D+DgeL0VIRqiF9lWryIhiuPmcVBFWVyIrnAmRsj+i X1vOnrK+McunIprVnJGQZAu11b5CdQwq96BavjwCF80Nkfmr4uw+zSG8DAtKhXffAdz3Qmu8SmR5 stMOBzhcKotoLy4086dFOQ9YmJdKBXWg0RAFgfmAEgNZZAwXCQQ8w/pyxz3+ufPDYL7jOeLpUYs4 ndLOzBNOajwy90qP+mysutrtzXWr3XnPVu99YI1WyFrHdy9vH+jv937vH7x10SvhM1MvlIJvdbuB xXfRuyqIoylZmz50lp8AABbKBoEjZN1WoVgZCxYrD6Ndaoz9ngqTM8NBTWGWTKShIJM0HlGGAbje 9kkVA5h4R7reTFqA5V/98lfSS8pJp/R9EFhVDEyNYbOhhYcX8/TZM3vy5H2d48WL58Ib+CzdV8iG yt3f3pbXRFav4KONxwodaIKQXJgEuRdYd+GBopypxETohfMGyIUnzaY9efyenV9eKsu0Q3+6zQ3R KDwpMbXhz19a/5/8Mzue1q31Z3/H+v/mmc3+6b+25Z6HShzI6LdHc5v+7JWd/5M/t3F9bg/+nd+X MoML4/nCTI0lJj7ZXYyDazltlJhXeJmEaBgSrgWNJvg/nAicDuCcDUuqqXGffA9peRUk0/EbCecO 0sHgc5vWu/FyIF8MUzP0wMaTQkYFDxqZ6SStIhfsBMoVXR+ZvSruViXKJSZltxq6YiAJqf3XXuJT /r7sEpt9EjHeZHDxZgDdXdtqVckUyL80osBobSy7B8ncwBNjnoxOxzLKVBKAMxEiZ+kX/K9CNz5U GXzMnM4BJ4xzUJHAGDDfHz64L49T2nBBvuZvJTHw2iJzKJWKUzhY19a/uba7d3fs+rpv29srdiHI YGi1ptND8nhbiFc90pv6rDIYL5ez725fwmSCcxuKdQNzAZeaVcttgoGWbehxbWHFI7WhhR2hIkaL yQsYLnwoC5WDVyVPrm42ZPIPvVlCenBqODGbCFe4uDjXzsmDJZty+OrQXh29sl/96iM9dMotKNVg hjr24HVfxO2ECiwu8JTUOqeAld2MCcTv+czPf/4LGav9/YOCQooxGwydDuCehNMcxHqPycUiYLKu bmwU2JoUNJsNhScsSNLbaqh5eSUWturkWm2FDRn/8P7Wswsb/o//3A6/f9dmn7629s3ErB2EwJEn RTjmGO+1rjU3kDm50UIDn8CY48mI0NhpW6vpBrHV9kQAwD5gPfQPCJ25eOGZkfanps0PDymLsFtC ih4qQnMhLDx8+dLOz07s4N59eSyMFSx6xggjmBtJ6srjfYDJgA1StpR67SuEwgKwqT0F5PfqCtc6 c5mVlIfJxEzpGYdmVhSVe/2h885SeYHxZuwpMCa05TXOBNuea+C9gNtOmalrPIEf1MT06kr4G2Eg NYIfffyJ7gNPkzCPsYRj9+LZMylirK9BLi7ba0B34Px4sJRLSYN+Y10F68cnp5oP4JHOkD8Xzufh coTGwnJJJIxcoWMyUWa6ocoANhivMV2fTO1XR0+tdvcDa3S82e+7HFXFhnet4fuuHE0PhdxYePeZ +sIu4W67/7RAEI00c04iz9R5pkdcnOFAr+WOWmTV4JTThKI2tM5yx2YTb9Q6HU6jmSY7Tk3tj/7F v/hL7YhMZjTU1b6+1dKO/OTxY30X/eCEo7Tb2m3Z0QHLcevp7ccDZtIozGs2hFPAuN/c+lHwlHq2 ulrK1AjLGTvxEb2rQW9grTp1blPpXA2nI9tYW7NGuybwfzqD2NcOcbe+nZyeazIywS4uxyKjsihQ XUi1UJWGSKe9bqu/89g6/+Ef282f/41d//f/zOp/+bGtLnVs9v27Nq3Nrf3XL2w2DG/r/pZt/Qd/ Yo//we8rTCDTRi9DvFW8JDyGMowuu91MZmO7GbJIbmzU9xB9fXOtIEDygD388b+FeY3g4cGFutY4 snjAo+hojXH69NNPtah4rpK7ptGrmjlQ4FvFKRcrYr0m1bO+/B6PjrCKxINC6OBIOascTpeH8p50 cVKqRCeFNaZXU5Y1JU3g4OCuKAe8n2wlHgtzBEON5yeWOY1qg9/HJRJaHr325/Wzn7m3DB0DU7S2 smZLzWXVLL7/gyc+TlOfI58+e6ZxRjUWHM/7VMLVmtqTx0/EhuciuTbCRLza55++UF3p48ePvFlG QSZGwYOSHlgLbeFejC3laaurLjSoQmP6fC6v2HJnZrMvUwuTz6EiPVMtw/m2m0x80dF02eEseSjV GBMw5nDg1Gv5VGIijCoalgogB/oirHRvIDGKrPtzANZljXmz4nGoADaxJgRTbOQYnOfCbIL7HuoK rbaMC4bg8PCljBShCOHLH/7hH+qasr0VeBW4Ezs/90QrLOeSuSJAkkcxZpklE0N55Lwvz1g6uLvU hY28q+s4Ob20tdGStRsdG02m9uL0pe0/PrCbsxs7m5zZy19RSNuxeXdme3d3VaC8yo5Ix5W5Z5HY Eb0UpmXDgSsrEF7Rjn7eqNnSzoZNf3Zkrb9xfaT5/S07/p1du2zP7ccXYxv+4oWP+c66NZ/c1b22 g/2MwcDo0i050/iJZ1HDSY2eDWf28hWlLjPb2ty25W7bmvW2qhFOXr+2q4tzYVEAuy57PVGrNuF/ 8MI6XbuzsydjI+lgQq+j17ofNhR5KRErF5sb763WmGYZSFQR8LOktGumouO19VXflEZjLUy8RgxK tqenWQcGAE+J8B/vx6W4wclG1rhpaFyVZdzciGLshit9SiXB4Q28KhmBpbZ9+OEPdX54Wc+ePRNX jmQL9aAYN28u4U0xtrs7ttvatyfLdbukMsFW7bj32pZXVmR4yLi+/+SxnZ6dKnRknZBZZE6omWq7 LcPDM3p1dKR7JqTHgBJiU1PJvCV0BE/03ozetQoj12pt6nuQ85ZDoXXZsrE1K83j3v1Q2JwsHy/+ iF98dzlYHE0B6BXfMBdzVdnAZXfdkLVavF7epat6lr5kemFZtOpAd9YMstvGz4GbTWwosJXd6ubm 0lZa23Z6dqEw5Q/+8A/US49yoA/efyQvgoeU7eST0Jks5mSlK5FQI0M2UjiaqyjLdpLlDAeJMhXx boS/ON8FT+zOLrV4SKM07finp9aseYF4p9ux8fLIlrbatrX20G4ub2x4M7TOJsW5HqpRgc+EI6x4 fXRky0ttUUckp2LgbT17/Xpu49fndvp//Cuz//vntjyuzBKwuwEto0pxoGm3Ze3392zziRupvB+l +RWCmXhFLG7n0E1tOLkxa9DcYqBM0cE9VBCaVp/XpC/PiLHhELpQkkJrq1xUGIYXL14IF0TRE28D z0oM8o7X0QkWyMa3uqKyoWyhnFGpus0ECqRRrlnZuEo9m1crODiPgUr8VNr0J6cK7eFtra1BP/AK gyp2I91/JQWc/Eq0QOlMKqu6J+5GVkKO9bqaaOCp/dEf/oE8X+F50mx3bhflPNxvp9mx02fn1uh3 7KDDpkgn867d+/Cu1VoQT69sa3tbfR+Z27St5/kzj/nen/7tT0PCuakoAdIqGUPJAA36IqcyZy4v L+zhwwfF3CaMxEvnOjtLCDF2hAeyDqfTGxtOzehH9VUOpwyVHpYLFLw9VPxNHnktb7uMpi/gUjso GddZjpJ1fk4VcBDQFRaCnJhB723N7IlnWFx6OXS7w4wn96q4wKQbzNQVIzg2A9veonfc3MbDvtzq FpnEZtsVS+OzYsYXCzgaZESYw8TwtHGpTZTp7Wp630MLx2+4rlIcsG6r21073T2zi7Nzq6/V7IeP v2f3Hx6IDKps2cFUrj5FtGBKfI7uvakYIQM+nal+jmoCdMAfPHwg/Of1T57a5J/+la397fHiA+uP beeTK9sajmz00aHNO01r/PH7tv6P/6RgsmeXZ66b3TklZ/A2JHQHrlNfUrhNWnxrbcvWu2hJeV3j zaCnRULYtdRZ1hh51yPP2oGNMQ7gUk+fPvUETGwGwmf6EGohfjq9JA3UQtl5ASuE0Y2mulnzV40V MZDMPVdoCH6fA1UyUjIGYobT26801vzDRRQDegjsjY3DezuW3Y2Se9dsUcPqHjcGbDLpiHVPpg+v MsF0xnB5eUVJHFE0li6tNimveQYJre56V+B6F+eO4Ql/Gg5k+NgMGTs8bjYy1ps6RAsD9bVF4Txj razryDOYSeZlDgL+AzXs799VZtMlii5DDJBC6a9msNLLKp9QSWn4tuoIq/oBQbNcODwPGzujt5MP UDwZ0tI6dd7M29qXp6HiSJBUizS8tbJxaaSXaw1191VYWNTpeRqYycWkfXB/3xUxyfC0mzYZD/hJ hsp1uJxqAOnQwxRPDoB/ZUce7fSFPE6pSKHJLYa+OfcrlB3E66q52GBKznjfPKRiwMm8uJaFQHPV 1EVXs9LrK50L3OvePYpUne6AOz/Sn4mtqYns2NVTQzZ3dXvDLjYBvI9tTvPSdsNqFHqd98z+4hdO kYEk+0dPbPO/+Ee29yc/Lsi7CYonk5+dt16HcHmp3XhjE/XKug16I2vWW7Z7b7cwwv3+SGEdYS+s fEIf7gMweNAfahGzmxOSSz0ggGs9SzC4AcqtXkbFosFTUjEvRi0EFItSrphozCsAZ7KnPB9wxVZg jCxahX5IUdP8widXmbXOLkoN1/kSxhOSAzIsygR6R6XqkdnEqhfHPMGb5nOONXUFqGfjDkqhks+F UX750SvJPNMTs1vr2qQ+sQk9DiZ1W9td0RhjYPCmyK6xaXCAzfXUhIRib7oYeaKA504SRDWRF5eC BiRmKA+8Lu+PrCBYrIsBtpTYYJOZkARSnS6QxY5u6vTp6VdGySuk++LfSR8R4lz/zXOxqrZXUNEt TK0pGQ1+QUawQNxKvlXiWFXXGwOmEp3KN7iKgv9NJx2wK7J96jJckWURrlRvefsu9N6zlpAiVNQj b8Y2GiNIN1Doh8dFN2pgwiTcqfZKXCkKth0fE2YzjYJiYSRkqaI1vUVBdRg1XksZZhmywjOM+w0Q GoPFolUpjeq4TMqQ3hYqhoLasSHvaxZqllUcb2N9I8Is74CNwS1Y9esr1nqyZ7OfHpnd37TZb983 e3pq9Z+8gAqvTOH8wwNb/8/+oe3+6YclKXLBifEQlz8YTQQA8ZwAh/EcyYbiATiZlA7c7h3z0CGT At6fHp/rHtbXp/IyMEhk2WSYUWFYcyBdRx1NLygNYDKUM60Kd5nNwF5WijAt6SjeIGOihcz1/fi3 PpTBIRNHmOcLsK1n1lZdnx+ZoFDtozYi5+CR+VUzE3Vu8rmpLtxvnfhVhr+/DiseI5s/M1+FO4oR vqaw/uLCOzSDQO929qw5osimbrVmzX52+lPb6exaY9qwzVbX8U9pZqEq2hRNAiyOczIehHgA7I7j lpsniSTGBMODt+WlSO7xYTAH/bq8TWAN5uKjx+9FZnu58Kildvs165STLHp77Jxr+TVO/BWP6vSW p3fr983R0DMmW1uusJhZQH34cyx3qZWdaqBOyIR4yig2W7T4KnlJPJQyjDRr17s2q01sNO0X4SG7 MzK60zEdUl5Zq7WncKrVoniarsrUNcJqd0A1O0B7Kt75WDRdwDvD2IkpjXdYd44O2cdUKcg6rYIM WpQYeVE1sObScqoNZCkJO5zfb3VkvcLfu68wEdOr43rAMCTdK3zGlUyLMOH9ezb7T/9de/Hett35 3Q9s/+//tl1+8soO/9d/bpPDc5s/2rbOj+7b9h98eKs2sjwkcxKUhrLwvB6UjitbX1sVmMzPSirE oscQI15Hl5zdvR1b31grtti1OSJ/JhVWqA+t7U5RqpULHc+W0NM7wCzr+/EYCK0YW7wlz24NCwWJ ewf7wTUyUQMw5hyEOE8/eSrcCRY/X47RJUOnSRrdg2DTv3xxqA5AhIlZslJmRsueizGBi1XguEjN bnp94VRq9jHzzYakDqoaGJ129E7Ea785HZoNMVUhDEDjYAqLVyDUNjXH6FeQhFFKZ1CSYAx0H0a4 iKfVL+aE+jHOZ+pdyD2k1LiTqp3es7ZG81XXmsc7cx4dyYWBniOGT3CHbqksYv6yR5EhvFU+nce3 ERZWNTbfZn6aK+toEzXt+qpvy6tgL54tw7ZlyJdHit/xoMVgn1pkbDpFPJ6trpJwKb7SfCaAMksa ijBQ4WHTJnOvLhehbT6z4ehGRgVMxXd2AtsIaANzkrcQonhJWZCRGA1k0BLPSLB/NnVdoSS+VsX4 3FtMzM5T54gPlmoMnjJnshPmMcGZ3M4ad5/ZteD3tFDhht0MBvb40UNlNdENThQAACAASURBVN3g ZRY21ExjsbUe3LGd/+jvqSiYY/t7D2zzv7yvn5FiOXz1Sjs2uz88Jsf6nD7CISwjNJ4w4iwIdSve 2grKhxt5F0d0ocJsKUUrM++xSPecxRCfeyfxAN3gFR2wtzdVIJ4qHK4/5hlabx5C7eAdzwJz7pue 6uPS2yrwvNgQ3b54WEndInI53CMUBwwq47i3u1NIBnGoM9F1T51l9D0pQ1wJ+YEEXMVjojItV/9w 1YVU6/BMN9UcJJFI4jR1rYgM1la8q414bkjhjLyxBz05wavIBHZGS2b9ul2dX9vqTteaq2RXp6pw 4LrBMD2p5DAJ84KMJ14lWW+aVsD7IxR3Qb+UaY6Sojnzr2M7O21JGeEF420dHOzr/umViSdH2I56 3VeEsN7gZFUzh98W7v5FPDCll9pLNBKt2xBhNkKFETrdHspVCaFMgmF/HFlE127avgPA6yA6mSmW hDI16vxBVg59+JH1Lvu2vNLxVvMVb6Fea1pt7udMs8qEaTU7RfG1cIcJTGrY9EjahnpnTFQVlZIW VKTjwLwmS4oOUkdX8Mh8ElFkzc05m78cLYVqkox2ZzsnkuNXPWWvSIvvN1viPxF6odWNMUTCxYvF 69aFPU3ZxqbXFWJk5a2FvAxnZWGyizo1Y7FURZSIla49fvRIHV0wMlK9QBN/PNL3UOrD52GcU9Lh nXDc9EJQ9Vp0X3ynJ2dFSUrW6WFwIENmIsKP5EV485H9e3dVCsJ9nh2fiTuH9ylDIsPpm1cagzwN 4VAWI2dnJAwOf7twn4fzeH/uHTZUQ0eoSUUAnkcy1iW5Is6cZ/54xvzMQk4JYXmuIpy6Eec+Cctg r8sLVJftVE7Isi83mswnnmH3DrwmWtShj79q29sbUo5IwUA2ZiKF158eW+/l0AbXQ2WIAfEZY4wl 3qaqBIKQqjkuqeY7IinjVVazuxgtNnKfA5EMCqyR99zdvyvahfTC5rD7l+z8ohYNdk9tOO3Y0tfE sKr/TsA9sazvGom00FddWXPiJ8Wc/d6w2IFwkQe0mFdmbmYr66RmS/kWL6lDo3Ri45kD6SLjQahs rGgSL3ddvfH68kbf41I1pHpwacG02jad03HNu/W21WLJs0Twg8CxBPaOr0NI0FPr2ZgSbGgwppMP ekirAYiXC5BSEzUtTbytThfrICLK2/L7YOJkz8VqYoGMHguWrGV3DfJeQ6lm8AY6+7Jzgkeo8Hg+ t6VlGiOsyVChT864Akwz+dnpwYaKhTWntGMzOGVeYJt1dnpALXr+UWYDtgdYPrD+sKfGpOen1wo3 9vbuipG9BiWDFH4ohmqjqde1YWBckE5RSJaJkMAcE0dMD6gs4fEsFRlOFgrG5ujVsZ0cn6ktldqI 1ebheTrGpHrGKGHKBcHrhGBcD+EhRFP+zYZHsS8684DWrnvu0EKGjnmA35BJ21PD2qkNByMZGXXN CWVWDB/4lLJx85mUNfgODJkkhpEi3tiQB+6ttrJGttTw58gNkV6c4JKQYXN8uKmDx/t2uXlpH/3i qb1G4nhCRnBVRdTMjavrm8JbBWsFSsDA8JXnZ5fWu+rL8K+vr+g59jpQGty4M2YOwMemzrZf834F 4yic557BslZWlu3F01NrYSC/wuJXc4hboZ++v2KovmtGq7lgXVnIHUIxB6RdKnduy3MX0a9iWumG Y2jGM2946dmrYDLj6soAeWgmXGN1Sf3n1tZJzQMYukh/vdaSpzWZDd0A1aa2vNK1xtyzThBM8YNQ 3KSebzzsqW29K4R6cwywK7Ti+Tws+7ayTx56uBBb+UhDcaWgayiUyDCxWpMVgDY6XXgCOzsb2mWX diCDwtPxmkZXZyX8cEpIqkUQDm5sbmqSsYg2QgmVEhfCsWxZTjMCjNbunsvR3MYOBdKiy3R5Yjf9 nmvjT+fWWWnZzt6uOhgnZpUkxSwcloeqkiL/N+VVBbRTEE0XG3M4ZaIyWPEPxvDg3l3bP7hrrw6P 1KJq+86WsJjsvsRbq95F9R7AoDDckpKu0YuQDYgkTdRWiv1OTV2ppe4JENdYJwTqsrCLvpO+oEXy vLhQltOBc1pxReszQl4VJ68L/xLVocKmzyw5RopwulFHbSE3t+gXKY8oQ2Y34jS9OHjoMsuQQNmI 2DhFsA6ZIT4HRkj2kajlzta2QmuEK9HkP3l9Jrjj5Bgv68o9VamKriiLqnKdmoki4eHwtYy2d0r3 xiHLEq78Yl33z+ykU4qfvlGD+Hl8qG/raDo+VPYmtIV5isGYW+1tmcI48K4U9t0MrNNacoUGG9vg 6sbqy20ZDh6QVEQB3lGbvB7YZDaRnAYGUmGFOdDdrC3beN7XDgipFInRDA0IcyBCzpou2aI6vHZH GUnwhhQ6u7g8L7roOBku0u3qq7iYzE0jlbWBzjNzjozwLjxONKAC1xFjfgr3Cq/qQt4XHhweBoaH 8IHmq+AeHi45R6gsUYIYuVqEUxgqPDHIg4SchBROdMznMAvMy8uIAMjV561JWDS0ycA9InZc7oHQ BI+vRZH31qa8HxYLGlPZi7DwrCqyOMUCvi39c4u6wuG1nzXxjMCtqkTWZLsnVqVEThh9QiVoC6mq wM+EtIwh46UmotXe5AFH4F1hELzQeVHkKqWPWNBZSM148X1Z88m7COl5vaqoUADNgcHxnGczNue6 yK1s3Mmm19xI6STmwGSuTQf5odz0SB6Q7cRAHr46sqsLb7xB2H3nzpY2WSm6kD3e2pDRy5pJTktW nft7fXRiJ69PbXPbm3LAoseDb6J+et3TPCFsvhkMrbnsvQ6/7FHNxBXJo2yxdet30fTqO3GoCQWV 7k76ccxKXk50rFmonL+182sXx/fBeswgHrRsqb1ivZuJLXeR7nAwFyELzsyE2brjrdgJG3pXA1uJ yY8B46vGDe8W7V+pmNGpEbVI39NiTGKAqeDoUrCUSKRekcIhtedaTKvlAkx6hYu8hT59hGISEAyy JxgVHiGL/v5DZ5iL1Cp86lyaUdnXLs9LNT+NONfXN4q6uEz1e0MNn6B4akxCAFnwDUpr2OGZ4Hf3 dgs2Pq9dXJ3J41RWLVuYNSDG1lRniKeH58BiJAM2HC4LsAcTAjRmrMg2iQkeHlBm1QpPqHC2Ylwr VmHxZ58G3FOGyoSMeAMpd5MF9cl78wYODqTjJVV5URhvgHYyhCz02/2OuA/u1/sUetLG+Xxx3bS5 v4KGMNcYZCQAbKEECVIuAaJ7/R8F7b4kqx41hfZpzKR6enmlkNNJzNGYduCdx+GqDY8pkr607hLZ UO9ChKzPAK35tZnWxcX1pTzSbIjLpl06s5nNDIkmoSRu+NmUyJCen1zYVe/KHjy8Jy/y5PRUHiRw RFZ2NLubb+9S+gWHpHqkJ1saI+zp22gO36VynWa5wzp24Bsqxb+AiS5V/FlHyRw3mwNik6Gl0213 sxDWy2LVIiQLN9wlmclU9WUY4Zs02zVrw6PULkQyuSUGdrPesel8jI6CTc2JkK2as90FtIbsMF7Z 1dWFdZBdaXcqI12m5BfSuAVW5IuX505Zh67d5uryQpjx3uMHrgQgCpobNAHtImvSRcf7M2I4252a tUcdpeWZqPwOzMSNkRfGenciv38fJw/X8M5YfIQALBoWGZmpnb071qSDNoJ7gMRR09nqoqvekxY7 HpaygSGnwnkhkMLSpiVW6VH6cyuL0as1B7ef7WI7tDJK9MYQGCuKfwlzqJdEOjqxJ3WxGbnXCIcN 3KVoEiJRxnL+QP3Au8GwYVjVX0BVF7Q+c/XSpMX4yeN/AZ4TIhMGY9TywFP1wucbZdagHEDSZLPh Tni/OprH9TLeZ+cnTklYXZGB5dl32q4GwvvoPEQ4e/Titdm0acvziV2dQA71NnjZJenqamB393dt /8ff9wRLdt4OVdpyNEuD6Yms6HWgSoNV8csOX78KdQnw0n3HsLY21TSDpAv4WF0Y5Jf3suSpR/uv PG4bq++a1EzTiaHloOUheRjF1GWvureeoOaM9PnsqqgfLItvPRMnMJVavcjoset2OssOwGOQ2k1b nnbs4uzSZlNvAFGfN8WI9wJaBrZZMWIe6jlOAUGS9khjEUt5D+UU6hCdGvVRa+fhUNn4oijWjV0v U/DSVaJso9NWKYyAW0k+N21Wdx4YuyryurQBc6C+7HnoBrTpADiNDZ49Uz88eRCSCz4r1A/4metj IeFpEVo+e/apsBfA++XOki23qEfzDGym5Ll2Wksxrh5iOb1DCgu9vvS8hBfR47AVnY0wyJBsq1hd wRVOPk/iNCUxOD1QPDQpOYwnUonA+6GsZGNrXYD25OparHgOugfxfjwCUvQFmM/3xApxbJHu365K qoaqY8bWwzgwLtjmYFgyGCuuVrBInM0uSVl+UzanJUTkOaF9xXMka4hxB4AHsOZ8eV38IdO6t7tX KU3zQu006aOhC/0Rhs+nNdvsbNnwaGifHL6wBz/at9096k8JEWlV7wkIzbW5F4Ivklnf5NXlOOfj wdCzMSa0MbeZ+F2IXzK/zq9vrLmxxBu/AVPw7m3sv82jqdZdAu2qksVe6KoMWo3OLFGNv8AVSc2k uQ0HsI8BCMuGEl5o7NyjRqttzZZPJJfHdS5Po12VDSmZmM4F8TotscojRMQTcQ/JF5f4NsOhtVba WtxMkhZ6UHiGkSUTe5ii48ic5aROFdQ0VNU2YMyPq15fLeXfe+9+AXZkCOyhHV7o2Auoo87ScRvX HGdREKKwq5NpkqIkWcBaPcQCZ1qQqFFyvXgigKqEWXhLMNaZmBQ0z2bOAE8gPTsUwXUCP0MssXfl 7bMwfLy2u7utTGo8sCL7qfOUpcrRmK5Sa1edHbFZcK8YjfOzcw+V4Bp1abvubHcMOxQJPBJ6IHo9 as0bwkY2tijZioYM3tmokI2UcRWWJ1Jrq8j6EeISNpLCZxPFa3UViSByEqKB5aw6/lW9B8aB6yU8 V0NcKBbttt27f98uL87FjcJjwQiSAHHiLxk/xAQdtwLYVsfnm+uipRcGdzQb+7+tZXe3dyXXA2wB ITe7X+MhpnQ1h1crVRjHlWqJ/FuJkpinUmldWRNMIW+75t6zMDY4YpK9/npM97cd1Sgk2ebfFS+r 6SlsL9nIrOCAavqgASRDuBAwzwLmwnjVvMtztBzShIzee9nQopEZq2pKItuCE34iQTuiB2LbwEg1 WYIm0ahBaaD6P/hS+ayFxXh3H7wrJpaD0xAEQyGUCSchvMRrSvG3vIcsIEa2QyRQGjbMXEGVg8kX AWOBARUkRdLlxyfavQkvqJMD28EDY2Hxb+EXSboN5da8Ce865IRW/kCBwHshtFJBUTD5XTnUS3qK yR9Szozp61ev9czYWPCmdvdo1BmeaAGGV2ZdZryqu3tB5i1ecC92OrXLy2u7PL+y0XhoG1trMrj8 mjIlQl+uDSMmobzLSwHDuWmRnfN6T/9OL6WK1sMV4ykyanCQyhA9+UohiihhvguB/YwXmUNAe4yZ DAkWIW6AZ4UHzHe69hjz1LXlUTpQe7E7W6JZJJ1FreYhj9auFfJmBQd/KDdzOfGpzSYz+8XRz+37 D3+o7PX2dmT0splJEI0FxiusCkyV71HWMbOgIXNUJDxy6N0bIxyjn+PZybk85/EYpVcnU/f6feu1 Vm2JLuj26zu0zkLfff5d6UsIfoCMiAO9Y+26YOBkLdxoeRiVvf3yyLh7dWXdLi/PrQ0YK5XR8nCe T7lYPEvnvfccR6I2rWMjZFeuYDF3bV6f2bw+FgOeLGS71rXh4CbAajhaPnrZQj6lcKJJtYPpIRZX hDopmxPXlQXe7qKXICwGoB/eFb9WmBJF0rmYZ/OaFuL6xoawDhYSTQPwEgDR4+tkxPBKSi6L0hny WLIrMV4JHgXaVrj5hEC0L3/54rkMF0YJJjiLCa5Pyo6QsuezZI7wSu7d3w8MpwzfHZNOn7QsP1rY kjNt+LayHwTsLq/lvZHRms0n0d0oNzEH30kg5CIDX8ErOn59HK3OHHsqhCKlkVaGWfoe4XU9zQk8 IW84UlYipDHlvK9evZbXtLSMZzXQ+/GOnMM1kdhiwdtqNPx8iOvdAN67Z1elNCCrw1i+ePlSho0N hmcK7gUOluoU2cVcXMXB1JYa/rtaZ25NQljngxS4msMQ2TrPjXdRBlaQgyuKJ/msKsRhMCzC/TWk ugvIYabx641ndjTv2lySRb/+47vCx1JISAjoUriOT9COil58CnWkWT62KWBxBwVRVxvIXVugeqGS GGGXfl82Lk1cu8xM+WvZYMB3Jp/MVxfX1mjVrImKcEHmc89PVesYsmj0qvZfwSDP5hMcmijaTUOT PsDoIlStPADdM7pZwTbHazh5fWzj6UhgMPQF/q7Poi1Z6D2lHAjGnu8h++e7awlqY0DYEQl14FtB WhSvZjDUgqa9Fi2kSMUnqA+YSrr//OJc9Xb8m3AArMuzaivRIGOuhUbm7e7+jjyrYgFUdunqIsnM 1KJdqoQo1VfmnrbHgJLZLTzAxJqgr0AQrbR7yw8nPcLVFMridsaPMBjj4Rfpz4A5B9YFPiMPSxQB lEbr8lYzjQmpGTAaL+vTT19IboXwTSTnwFtzTnK/nhmkg7dzuXg+4FS63uwUFVEBY5rgPkYXXheZ W7o15415YwrEJ802VtisetaiLIf/skIiEg4+B71vp5aAaAvMH5+zZAQdHaxEL4XufiqluJEk/15i rA3X14f5P2ya+7Lf/PEGav0dyRQ2xbAmexPuqRjks5kNbnpl2jVKPQAdx1Iw6Fir4xkyCKLK0oip iytM+QflF/6gc/FmkwmfpFn/pXfIuJDF6awi7r8kozWhCxZF1MtOFeMaBzfXIUPjUsBym9uugFAt bcnmqC4n63G+vyUXs4eLHgLObKysHOElLZH6du/BgXVoBT93sTlCC2WjNPnxKLsSu0s5HpdIqUtS pFiFeJvttjI7ZP3IqJGOxkOBhsDieP/995VVwkPzgux2QTwFp8FYSZNr1QXrCH9oYoCRgpAIIH/v wb57DdE1O0NHP8KDvNWdJgZhgRS6wBYMOgJscg+VoESguODdq/HooFikiGKFd1qA9ryOl8L4cf38 nnNgRDgnHluqglIbJzxQoa8bPwxbNr6IXUBGGwOK0YRX5l2bvaFpr0f3HsqXWvpOQlXGlUoAUUf0 vPz7xd6XoqcrzoJ1kfDwzKKPFdjR8cmx5iDdkADr8TTn6GjNZ7bd2bZ2rWMXvTObjiY2wZBhvJvI IXkZVXYiz4QT/2YDS1JqdTMpgfjMJJYbT0wnk7imCLxu7NbrUxsATfwasCvZ0QoI/217V4XXqUEN tzU9J8B2DxEj9Rlxd50mm6qnajpVIWVw2REBS0OtMjWwPNOUC8MDE+8InWzuLD9pBQfGHyI4iZjj g7HdXA6tvSQkQBYsF0jeRQKcHtqVDPzEzHLxJkirRADaSYWcTD04XHURWpmwZ6fnqiUjxGNR4Bkl mEtZCY0DsoCYsSFU0a6pwvFy1w5aoz7o3Vmc2oBMMyEL5wCkJo2O0Wdsk5hIeJQt0USiHXsRLvjJ xx891etSYPXaqMJjzQkO58ctSbVFyi2WU7XdWYLV8dzwrhzkXis8FuooyZhyjTKywfsq8Mz0qoJf xYF3iTa5KgRgZqM1ZU4LyYyZuuscnVn/fKCSH3lHdF7acKA8M2ecH1Y5DR10LzHP8P7AnvA48dCg MpB84NoePXokPMo9fpMOPkYLI6cNraB4ANJPvIxmRJlXW8kkWPc9DB00h1c9q/Wa1py31IJ4Wptq Q/XkDdnlUVRaoNhRt1Zkyx1OcVkezqfkUdbBVjBVGavQclPUI8NPhDPl64xxm0CBCYvSRkAQ/bSv QGn4LKOQRqpwCObfKQfLmmBO12qSiXDbkoxVqkvmZbqKYxqaKAOkq7NS/XVbWVuXLvjFxYnt3XX5 2Aprx4mpt2Pg2N2LBRNH9jvE4xAzudNU4TRqDWpRP6b/oBvJKg5QhD9R0MxBFiXZ1lUPQox4YRlm U/XJI9NJN+C5PXx0T54B3hDGDdmVQmEi2P8C2F+/dh2s4FQ5WdKbWGTGkPMDrJ+dnsm7YGEBHmPc WMh4Arzp9PRcQHIWm7vEMHpVhNoQI69lRPkCylievP/Ejo+O1bKchAPerjDBaslNkYKK/1UeSWqX lTt7+azy89lJiVcwADDFZbRCi5xQGYMNtlYMbQjkpfonBl/NQGQgPGOZ9ZsptMhXb93Zssn1zC4+ vbLLcU88rGl7rKYfhGrLq+5RZ6fvgkBaVPZDGu3Y4eF5PA9KZzZEIxF7PhUjgp8FJsjPXlDs2lSe ZPHstUqyaMiBAep5O7EHDx/a1fqVvf7VqU2GsAGH2iyguXjH9IYEIBtozYf4ZHKuMqvt0y8jgaAT VSoM0uvKAvUMC2t1H68m8IcsSl0Q4uW0abNvyFjlUdSv3zZU37LFyrndVPV8lLfMpdfkkhvuhpau qku15CSmPIWOKj15Yhiv5e6KXZ6fFh7Mra9bYJOnN+eM+sWyD87ru15ZItJd69igR8gA4Ni39hK7 o+uGA1RXgVlXlvDYf6FWLvlFRSdgQtG5XZxd21J3yRqtpnVXUc2kZnFV53kdjRYc/PbzsTM7M/1G OArAr3Y+9WMcipawtNwuOhqLKNohlX4gg6guM/RkHHs5yiolFnincJWUSXJMrjWGRoDqpDfS3Nre EJbGd4mxvQXe42GHc9W8I1GRRi/b8pWA/1tKq+yWufLERE04GmVJhy9fyUh6V56yUal73V6sntrr Pi+CqCv5accFs3mqPIpoEa/nutItCJ97j+7YsD+08euZrbTcy7p6cWXPh4e2vo84HrV+eGtLFcA+ wtx5TYZTqp/qiA3R0rXcszU8Xbe5Mzxb6hExRq+Pvcu1MqEC2buqk+Sa5NOTvZaqR80mI7C7sW08 XJNH7I2DXVGjwEqLOeZ4bjn7ywVfpTCkQUoSc7Hh3FLOYy4Rnk+hZbSaNrW6DWd1u5qpWvdr8Rrm n8GA57tm3xGN9zc6P9eaTXWvcZA85Hd5vBFCpSejIxqtsnOtrW9GwSf4xrktr7hQXUmOq1K3bhur zBz5jlKGcmiRO4DOg2PHgtaQHZyR87i6unH1gNnUVlZjwlDzmJmYaPnujkVp+FSSER4A143BQoeJ ouy4yuKa6eLCv49fn9r9B1AmFtiKRRYIz0f8nQESw9fe0fqKzjve9YR7JJTyDcAZyd770VP+2Y5d oC3JgwD1wTp6x2QgTwSqw3tK1VRkebtdl5OGxlFgeEGcSeKkT+RY1AUtpbKwskSp8mzlTcc7MVTg ZoybQsGKzZP3ESqn+Xxz8ymE9WjjtbZWsPyToKlav8FA2B5J+ZXlrqSc8Wba9Xbx2dXOqlljZhvr m85zqiycsiojMzrUJq6rOSyhZ5bSqDuRVl526Z6pZXs2oXVaDB2czx3QbtC6zUNwDBSUAg55kytL zkAHW+suufKpPHnGwnE75iSFgfOg9qQ9UUQSIot6XkVxd2bOK3YnnoNa7SWcUtmUx1a3s0mDnlOf uQm9y1FJ3r/xejLec79PhOHbxrKU1qpT9hFguPMIyzRrVWkyF0J1jHjvoN+Tu7q65lmw3D0WPKfC 8EX29y3p95LbVd2JIsyQEkDdGu2muClItOAm92+G0UgTI+EqBUh6MODOJUtted/JMCyjgfeh4zVa dPmijprKuFb1fQNsHk+kvHn3YEfvd6Dd6wmpI7usX9rLF688Rb67rUwXixzvC/ImDPfk76ShztsE jCUblqGgj4grXNAODHIgWFoXzyZ4ba7l5bQAPLE0nDpv6NOXD6v6s5+9yrYudvJkted7A+XF85FM 79BJxOmx4OHxWuGJqwTLCbcKj4tzeQgGSI8Q4XoUS/M5uHs800/+9rk9e/HC1trr1qkteUOLuB9I uoOroQ2vxjZfTwihnHflZMl78NcSI805w5hyfVy3UxuaRVIoN1zCbnA3jBTPlgQDhoziZueOoWTS Kro05zWkQGLRJaqiMlFsIsFvTBWPpNdovldLdQouXHQiKoRtUwKooc9gJjcaI+vPGjJe3/Rx26PK ZJm+Ka7p2+pf2FSPu8wqhUfiIVOp0V49Ck8pT9Bq28q6kzVT7QBjkjhOFc8qMlURbpa8kyxGftux yAImvFJ6GBIeFf+brldOkTKeB+n9bPCpsNG1UwVWjwZeuMrCW91w7KVqVB1bqHCXJDnctIvzK/2R 9ri0jYbS/UYm57d++0N5D6m9JL6WwjT3LhIEd2wgm9V6OHt09EpUEfg26lW4vCz8Y4iczeWV3dnx TissKq9nc7yCv2H2a4ev4N3V2KDYDor1vBh6l0dlo6gagth4sp262OSthkJeQliya3i9OdbZOdz1 7hflYahn5BvA8DL1n1QH6cI312yl4SA98jdjG1ttVpP3VR83rH8xsP72UF5m9f68ssLnnJ6YDIs/ f4DvOfywoGpDR+CZCfiP9vYZrqLJhUjh5fRKsi8YTagNGe75YJbgvLBPiUZ6qMvrosUE18yrNhbn 1gLlpJIwSHy4XBsFY64yF8vzzcF3bW4rdIgicJt/PS/r9pGKDYszZIEw4MPxLXlbwrCSgV7KjeRA uQu/oCWl/xUi2cWPCnVmznVJRnkpW1IyeZ0QWPHSEnRPjpYeeFmInZ5XKh9w5E6fIQ/cGeoSr857 trHtEz8129Ptvb70jsDgS6mw4ACnLzhPGTuXKi5MgTy1bnv7O0q9e9kFpNeGPVSrL7+m7TvbQa6P rGejKQPGYsj5RhAIJkJa3uvLvPkC+OHTTz6xrS3Y6X3hKGhf8R68NW3CkTnK0Bx+XHKJ8lJvJy8K 8KpoG7k4uxKrupU2jN856CsSbX8gA81mcHnpEjGA2WROoQ4gi5MJAxVxZ6o+5wncsiXCVxpe3Gih QstQazWKyNeWbLg6ttkQZKahHn9HV0fWnDRtb3nP2s22DS4H6sBN1MICLQAAIABJREFUiJrn9HXt YoGE4pxf3vKcMP7YPZEW7eJvRMyFJS5xSIzs2Dtb47GeHJ/qrqE+KFJDSXcJqZ6cb97pKbXREiDP 3xVyNVo62Xi4bCBbUniyWNuNlU/9W56vNu2yfKwyhMU5JjP05NGhWzQiX+V4m73JxHJ1uiikrSab v8WjCcCYnV60GUXbdzgrysopm7OwNm4d5Y7Mjs/OU1SIJSYSD9c9jWqBZ9krMA1ILqSkR2S4VnxN BU8rMbEg1LVaRlON9hJ4XLK6Hbviz+a2G4DqdYcvpYlSLLYIc/iTssP3798tdrLRoK+KgAYF2tFR mCA/HzIa4WBg/R7NPfw68EyoWzs9PlVISUee+w8ObDSa2MY6cryr1miTsaX1FUC0l4J4qJX0kDc9 XnmyxQ6N4Y2+TFEWUoQmtw6nnCziGLmbExbBR0vFCEIpyqbw9lIckO9jsapLUXTgzkL1GPziu4TZ 0ej15kYkYzwt7xZttnt/R4b/9JMLm1/PrTEn49lyie3ImI37Y+tfD6y/Rla1vBtCfhQ11AJr6m3q 9e2Raaac6HxOKc+qQm91oxkMbdC/DLKz44Vo2ns7+bIWsTRWDqCrlUqOZa2i2Bkdx/O9ubEE/9PD x3B1c44XG0gxXkn5idrAqC6REklFE9/gLEKJmJtdTmo2prnv17BYb/e3Q2amoouV86xq4b4tLEug O7pKjs146YV7L463iF8UV+hjXLr61T6ECd6601PNSIUnFv9XwlidZxryMsoHlN+RC6/0wtJjU8ca UrqR2raQJHauGOEgCo+ELk1RGnSD0Sih6JlXTGgH5p0h72bLBQDjSkMeJ9nGWVMI498zeXTw9URA NYziVIQH7NKZ0sezuwaQHw9td3fL2p2uaBOQPxlnAPZB/8ZWW23JkogLNEBm13v9ZQYuF0RxhPF2 RQEMZcfrE6XX7rVtrm8V3tTCc6nOP/89T5Z5cHJ0KgwHyRgwLEIjwnwHgUsDCVEWegOcrBXJCFc9 Cyef8m14mqg5cC7GmDIcEg55bO5u2GA0sKtPbqw+aVhjUrc2JTZ1aCETiQqR3ZscejFxrjTV/oE9 ra3a/j0viaqaZzZixh4JI8JBuGUYL3ApvD71OLylRhsXH8MUireiOaQdjqL6qOV0qIIEVZlUKh9P zP0wXNXxKYP2xVZkBY9RmGRshlFKNmVO1uc2mdftZg7D/pvHr/LKPo/G8G01WeVoKvJRUa8PJt4V E4yFnvLDQouyFuzWUYRulX9X/65mCyczn3BiSMvNTmNVeid5pqQ15DkWF1flvJXvyjDp5mqgrJDT G5LblJm0BDNLLswCbalyvWpmIWMVdYQQV6MsZqGYuzLp0qska0lW6NWLQ30XHtf2HYT5ZqoK2J5u 26uXh94gYaVjk1HfhsMb0UN0vZFxcoWHKreqnEkFJ05F4Dluzo9LryfDxfImP2cmWk1GlAze5ta6 7e3vutcUnnf1ft2rRVhvWfgbJU3JHndKAGoSwWpfX5e0C/jR1eVlkYFTt5gY7DYt2Ntjq13XbLt1 x+8PVQQb2p3HW7b3cKdggLuWGMXN5xpbD/G9kD6pLKkuwhjc2dnSnyyVkTeoDc55c7epBtq89NJM zZqK8skYvSJbGxw/XkspIzaHlJJ5I0QPIrEMXTHHAzKgxX0kdRyg985K+V2qlZzMrc356y4Q+HlP 8osOPaPPk5P5DByrmEWL++ZvzJipVX3G3MkiJyShByALDmPSLirMK6nwhZuLZmK5V1cWfwnSszOR 06iEDoFBFUHZ7FYYmAYk4paqwfTLKOuwvFGpG6OlbksLgK0N6WYA1xUY1CHM57vm1Dv4ShI3eg0W lAy/HzHNQ2akWtqSxiHDNX/NC8R98qH31bYn779X7PKElgqj1K9xYu02+ui70a16bPNpQzpeLr4H uBqbQRFel/yqAp/KGkypvgZumBiKHlAZSt4Ou4sQu5KlkpQxffMMgT4vYi9seckekPGGsc2BsfCG EiNlAblPjc2t6om8ZDwcagG9YHzD60D57hFy1Fx/mZXWuDa9zwBZ4OrG4goOd2xnB334cs7kJ+UN xrOSIQsv2akvcTshU+39LatcKH89YQVx/bJtHGM8dTWGxLc8Mxr0nHnNZkiOV7KB5VzPLk85lwiL nctWyBBn2LjQQ8E32rk8Vr+ubm1iPc715dd8jM8XGJe3WMPsqJM817eBDYlI/Folkvlyd4/LBgh0 mRFXKe7qdvyeF5oGKRdvTtIs5Mz428F2/zzqoTSeWOTSLILHVTc5d6EqVyvB++o1k2HaEE5VYhFL Kx3rUD5R8QRlrGYj79JTJAPC26pgYzqnFpx7Y77bRS2XJEmcKpHbT6pF8Lt2HUVUtLjg33gKX0Xk E5crgQqi7j9SLl221fXNUAVgstIaPbGx0mqUG0GJIfj4lN5TtrLyMKccR/9sOcWKLUf6614eA16J d0Z5DCz14p2V7/ISrUVPO40Q4e9mhKJZFZHXnBljxgZeGgYLiWgX2etYa6lps+bURjeMmTPF02Dh rRIOOcaYA1IJdSv3k8X20nkL/AcMri/qTVPerYrU83nGM04SZ7EwpP7pFJYyCeWJE58DZcY2IYN6 RArFfpzik8V8KhNV2TsRPaXqmOoeF6oQ/O5Sutqo152ZLTVqVuOHr937+c3js/3vktqg993CuX4T RzMBxuQpST4kOC0qa4jGjrijRBhaRpXFX2IqFV2f5I1kqUFgALU5ZLeRNbJZT7LSIXTi5psXr6bx eDPur3xfGIjMsOBtZf/E8oGnQSoftpMmy2yjT/DcUT3jWP2ewiAHEdXP4kS6NJZ5da4DFkkDdqPo 8Mz3jCJEy6JrSLZwgTLLlGGWPw+vJ6yGNhypj5V8npBWKwyDdu8oLaGQu9AQywELrp3eJ0nsujwC CQmeXfjOvdqVokHJiUvdLTdCKc+Sxis9kjdS4RVvztVOS8CZ54FXBi6ljjJjCpfHNmmPzZZqVp/W laFlQ2niLS97Y9L0Zgusp4hNKlioxr7cHCUZjRG96Vm/dy2PqLPk4Vb2AvTNMN320quvGlzH96K7 eXizaVSc+pBQSIX2U5BCi/RGwSVr1jCaPKt4Ngl2VHelwjErvfgpnmutZZ1GzRpUfpQf/8aOz/O+ 3qD33Qbnv0aY+u6a7oWrSuOJiI3Fcnc5YP7dbLpE7hi3XQTButzYrNsrqQwlyJ7E08mc9l3skmO8 4OKh5WTPO0f/ij96aU7vwKUorvaH6d5V6CtVwjEOZTVjMZUeWA5sZG6Ab2cjYUNMJCSYCxJftLxP QF7kvUoiweVDvG+gz+fc3RJcrYDZYQDVdSeeJs1OyQySeq/VuqGkWp1pZQMQL9QtXasc21IXPHfV Ei+UDv+Y9l/TUNIIo1bxXjm8dyLyPOAgLSkVoNkFpuTNDpJEHEY87o+Q7DbgX/UYFkr7cwEmsTLD r0JZ1sdTYna1mlqGEQ7uP9iTF3R2dGH9y4Ge1+betjy+ggKQk7OSiS6mUAWGiCEtxtbhAJ+3UtCt GLoyXKg8jcA6ecZKbMTYp1ETVqiu0rzPJXCykavGPqGNW5ijQ6HRKIPCZuS4sxSt6Eod1xXXlt5Z LRIY7bYa5FmD7/6KBiJP/9bXv8QJb2cPFx7Rr+EQKssklgtdERnLcK66zQDE85O0veG15MOqLlbh UFUPhc7NHu/TbBUqQIY6npJ3vlbG7t76HfwIykDJvfJRKbM5JfYSRD7CK7STAm9Kg1mGd1nzJvUi a4ovnDWSvlsmDqWO1eG5Jes4vTHhZiH4VwJB5c8yzChNULGPUaTsCc15EWopzHX+EaPgMjge9BMu SgivKpVT2XvTc0tp4fzi9FooD1EvyLZLtmRWsIpBcd+jKS3UELrryEjQFBUeE5lAD109C8bCAF9C D6rI4qYvGJ5LxTlY3FsDYlCn5wi7nP4wccXOKIBmwZON7CnTh1TMXHw6EhQF7YDmE7eGegFBrayM 9J69gDlwoNnMbnrXwjGXu6sy5qXhTQVaj+NyPqaXlbith4XpwXuo57QObwaSdbHZ8bn0tvxqy3rZ El6Jnk3KvpLRBnqpLbSkS+NbQhSz2LBdwqlmo0nD5o1q3O2se313KAi/7eAqPtODqnpR76Dxfvs8 pcjlr8fTcnouCzcUGjLccwOQ0iyVu4hJ5KJ1Puk8Y5T+Qu5anrWZSjW0oqwQnWwT60oAL0HOxKqS e1WwgQugPVPJJW6W2FKpQpCXe8vr4YEqi0NlvYcZizhB+FpF6JS7pO+a1QlUHpXyiwgr1QqK1lvC S0pFyDRWi2Ges6VRXSB00f4qIHhSenXafV3+WLz9uP+8bhY3ekxZdpLeYnoeQQuWoUqDrIQE+u/0 8wOvqjfUlZh5QNkN5SkYjmYz5JYXcL2K/sBbNMUxRpTjIFCIgULniySE904EQPdFLvJmrWFL7Y46 76BBJi+y5RtH5HcLnps/xxj/yvwosr5RgpXF78Kcpq7XttRdse7qmrzwnA8akwizWd/auIvqDJ+T Re2fGPXodbEmSqXbmPFengOhNxtCpHhAOQPLvytYOv+jHlORiAw6XZyzhV3OXfesTAmAusb2+PTU jvsNW9rat1rDO1lPb65t2KfLUNtaq5vWWdvUc33bUXW+bx/q/FwxbJ9leKq3Ufwc18zQZHTxTR7S JFl09b1bcBWATBxnEQ9xMLRZ98yiBjTCGTqKqM9azXdTGQZq3wBTqXyfD6xdWy3uVG3qZ+4aa/Ig 00Hf6PRkih2rNFipKeTlQC6J45IoJUM+sZeSK8ZCgVTq2AGcllSH9PtxIbxMUasTcWSk0kCmN8jk LQxrBaJIQ9xdpcee406Z9akOX4YcrktPat7DuDxZeiHzJjtvxSMtkiA+ZXhWI5jx6vLjuJUbPF94 4kJFjZtwK8K7Rket0qxLIbanpygiL8eM5+aKnXhg1G7CTk/cqophVkOLVORMdvzKyqoAefdkcEzd m0zclPdhwJB3hrhZDX1kGIpMVLnY01tR/jQ2Chn8GVJHTkYtPRv38tg40PxXI1+eT86rENUrsC9w 25RQkvddyim55rxfw20+nDhnuWYKS1CG00kqLjJrFWtRbuJeQeHF8Knimv6kd/6u10jc+DP81a8+ to+fv7Ld/XtqVkzLr3H/WjJPm1vb1ugs26Pf+/vW7JZ8t+qR7eg/KyysmIMF7LZ6aCNPo5owUuVz aUK+ybrD5m2agg/+TK5q9cLydwVeE6B6sskVjqmgd2ITsDAmTA0OF626sNQurQxhdFoblRQCkIrZ 2H+v9DxGsCWCqNMcyhR9Xk2xwVaN7S0Mg/lVSMwsmH+uAVkOZEh8qHNXdA6MZ4YkzxvtsYRf6L0Y ntJbSwC5QJuCg0XWKw1nhldadDhYYXzygrPNeILTCbQTRhZlYlWvsRLjuZrlKLBGr5urJjvyW7JX IC3Z6OzCM1BIE8qfVc8J3ux87ioGEFqPj07VhbgejS3GE/9esKbELzMrx84PLYKx2d6+o+YcxRwS LBfdpsMjl9R1JSwXOTc2oEJeqMDJEvty/BEMJzcyPEzN4VpJok0eYbbcSg1/x1dKmooMVJEBK2Vy vD6yZmNCWJ3f8doi612ZewknZOYwaKbFhobkTmGMC4DYBy6vw7PR7nmCJzJv0sD693sn8vFoYH2G bWnV1u+4MiuiQxOijdaS7d17KFY/3msVF81DoWsY4dsGKLvjZAheJJMW8wALR7kqy/rChc7Rlde/ iUPukc//4KRU9akWvKrQx5Gn4bFydafJBwhnpRE7znwSWT4tBHY/f2itWinn4iRSUuFtb7Ap/i6Z s0iDx+KscmSEh6mkPEMTd6cTe5J3EQzmTIWrlCZZ+6Hz7kRD9yq4Ua/ud26RuFoinc6081VxNgf9 0+srOxDnkTu/JiIdsSuSt+yQVb2v/EAafj9nhsRZzlE2uo1h05E65vRj9IWR7H5wrPSQy13fN4Qk 7JYzqgCqo8W8kg4CgJte/nJ2ao1TMntrAukxShjl7JnH5QyGw6IQuruy4saqmPT+jDQKoR3FGNAl m1B4Mh3bfOTt4j0UD+OJphYqq1lMLDJldSONWlCFZ3j5I73m5VT0t/RMIEqiBSYb15OQwfw2LcLd 2MAiMzNMf4Moas/MsJIW0ek6WOklQF7K9JS0H55NhpA+G/yaXCgg540yiKHoOw0Mlbmb57npD+z1 9cy2H/+W7XW6Nh7eRFMPP3tnecnqzZb1ri6t0Vp+qwclz//Wawzx23SvcuY6bPOWk91+71s8t28S gG9W+U7pXcHBKnACAeklyJwwrgqQI4NWWuTS2DHRGg0PufC6NAHDD8V7ckxCznBk9WJyzBs2q5ch jWf4y8lUZuDiSwGcR+BkPFxXcWi1sx1Wehnezt4pFNRn+QJy9z81nHx318SKyZwGNqkVZeBQUUvN tumZHolxysPlS9BGxyPxDFwhyws2MRrq33CwPAsZmTyA2DBARXCRizhq18SoxxMOfzwzcrfQ8AjH Snmf4i35c+I5qRleyULyM30Vu6voyN9IBptiYnZ2l2vx7wGf2t7akuRz2fjz9iT2F8nSUqsoWehW alJFY5EEjZNfp3o/6CDMjzK2SCOQfDzmGBwp1C+USIqi9owrE1/MDknF+StAeBnkllls32scLsiQ 2T9fMVYV2ZvqzPHvdX9LayXY7BnGKjlS9MQsw0YKzfElCKvZMKAUad5bzc6vBnbTn9vSnTWrL61Y p7tuZb/r8lijhf1bjnweC0ndzzjcO7/lRdkXH0kwzTDxG8ewOKeE52jwEMZqwYUtvjhd4fIG9DDl ji8Ebb6guHLZPccjKPQtuNuV3UihWFAK9NAiBV6wfSvxv/e48z+qfVTXHzcAYDgLYWKRWiqB/mx2 upAm16TOXTCAZC9QtFporJc37P8sFCXjHj3rU3pIvj4iC6hwwjOss6Kkw9tSZSjkXXvca8r0eHpJ BRk3sm0CeEMDP7Oi6UFkVrP4XCFrXfLPio0A5z3WaYZK/K4oY1LI6n8DjCMTwzzxvawWDVUd++JE aq0VrbpKnNy/AO8vi+x5Oy3KCMXhYyW/yJs1+AIXcEwSIjYaTzK4565xYs4FPuhYZ00EXN4/HPaj tMUbWHgVRMoZ5/OurKSY28L8YqPUvWfxuQzL4kdyk03ctHpohpcN1X3zrS72gp5TEmoTa80Bwqgr ozodK4voXbvrtrqzZxfXNZs3vKLgyx6fBaTfTpzEtF5gfLyBbZW388a50mjJW38H7+xL8rB8AiYp sLyQ8ufSBlRbSSWJLqx25TNFOrZ4n8u78h4mfXlr+VOqLrhiZVMomA9VAVJW0tE5eup718qMUgKu 5fTIXdR3sOz2HLSFipHJRV62FYvyimoJTiX9XQVV38AJIiQuFTYD26j0p8vwW40Jgh2ulmPhaeBt ZQjD5E1eFdfvrHQaYJCJ9VDWw+tFVr5wKkL0CMMK8uYt3LK4/kjrlJuSY00q3u71XKoX/XPoE81m GXLXXBiRrCOeovDMwmOJ7uBD5KMHCleFLTVqNuzRTWhma2sYGm8p12i0hcf5OJV9/hLMg03OOGlz Y7E3mupFkG3ElHVVN/OQF9I4u26/JLVV+uSbnPOe/HnnnE68r8DNbq3kgiiSOlwCLsvnnhs9Ydwi OF9VgvAERPGMdE1+P0nQndFZWrpyzFXHSxtsJM01W1ta/UqFz2qZXO15UTnK9RuNZ24pD1UNjsLW CjrBeW8bJMcEPfSUwx3ska97NHPHd4A4xe/zAaaXtViFnq76oieTuZyytAZMyo1WUBHCHxVGVPha cYaqImmBNFdTzAm5xHUpw+ZhHGEK7by9tVfjzWuN7Y5vLAySGMOOTZRLK9vAh1JDLMj0KPxOy10w bz09k/RiGNNCqC8W9gIeGC3vSVHneQlnhMGEQXP2tE9KOmf7x2oLxMcMlWYQeStM8DxSHXUaeCCA ehUwxjPO66mGbpnVw8irTXt/IJwJY0TWb2clxA8Ldj4Zv768KxQZilAoFnx1IY+H9HIc6A9vhKrB PatzUqsdNXv+jDyMQlLFM6aMY7aRI7wWqTk4UH7Vfm/MB0EAaexZYKFdJr6TNPhH3r+g3SlC8Wro SpVCiWtlGOfPlCTMdOLqpVIBTaCgKBB3T415l+B9UoVKUmts0BIfcK+fa0zjTP+CxC8lRzQeufIE pUC3rck7Hl/EjcLE+9b3Jg5VNUj1t3hTbwPxZcu/4fKdJgulrh0+5Dgm9BQMcl11C65gSBxFmvZW tkQhSKiLyQgVWugRXobOT5XzlR5LLhY/FukWueOn217QFwLQJqLi+p3jUxH0F/FvHNK7CfxXgO00 gZUuJrm4vDC8UjITcill0Os8KmctB6UtatJcg35mdQrKq/ef/IRK+puFoJ560THYvZbFsLbw6qJx aXqOrgzh7OhyrMJbqIDEkp0JKkhhtN6YDrdCmzktq+h83ZDAHddWzQxmGZvY2mpN5gtfXk7w55Ii AoA/mTjlAeODNlWn481L6Scgj7KifJveUsr7UAuINw0miEfK+BbXibeS/QBaaXw8DMWrwztVCB0V E4xLQ3WLQ23/qRiaYDrXTIsvjaHu2b3dNFjpXSHumEORarskHqodb/h3PkDglqo77kKVuUFF9+jA Z5tNb5nHa74hT6w3a9kUXl81HvsGj/RRZFw/942f+8+FowhMvqFMYdONh9eIqRhzgUBZLcBMGZZq cXIpzVKEbZU24GnQSrJfCe7rZoKQV6aZA7OplN0U1eEFEFoNSf3KSiNaXltyuMZidhMirEjSprjm SriSXlWSUFOXvIyCo4VX4kRhJAsjVzUqFSOYGbTisVZJLX53BWdKngGhUFH3aAvnvZ1Kz+tK5YtM gOTr1THi/to8XyoUJjDuwzAUGc8cexZPyO/EmHpj0Ikkoml5Vq87ly65RYwJ2BUHeJaSLBMPh+YY KVQY1JR1aGdn5zJ+9DpsNoKCITqAy714Y9ssWIYegeqF41Lcpygc8qDKrG2Gm+rjGMXjRRg6GCgh A7aF8SKbiicO/w4D6U2D43oLXNRVSjycDg9O1RpWZGN97uLtBZ9PGJ0Xj/MvyeZUOjeX2emYQwEr iFMFjacidZ2Lu8hcK1T0TWZoSzb/im29bmNQX+coGlRUcSz7zRxNlzuZWYvqb3GIaKOUSNoigO3x bZAsk0NS2dHLz93GvBL38Xel2mSBo2S3nlueWxX09x0z5GESfaqEkGUDCXhT1CSOXTdp5mzqhQxU UVBdyt1Wv8dd4mTUJxaS+E45eLkzqirw9tNLaZjMMCzkWjy76LQEpxD44ri9V6XnWjKwb+N5Rdjy eftc5geCqpGGt8q/KtGIyjioWeu6IIMbZfVGTk7NZxEkW3hmMNk9RPdmCSxmRAnBtVLIb29vR3WB GKYMcZSdVXWA84bUOUg4nRsR93xcBbc3ouGIGysPj/G4nGEuwcnK3POCfVqsLYXkTUmBwROnEsE3 QpqoQC51LhtGDq9MBqzZcswLrCoyrROFfU6G5D41nmOywK7/X27yWcrjm5aPixtjhY7RNVwh8RuR hD8rxi0rSdTea4YCyFcT7SPo+SLg+13LadIDW0SLP+f99s0dTR4GD9Q5SD6gycVZwLmLiVAyw3NX v83dSvKihwLpWYXgT0U2tiiurYL4BVjOCyXbGI9pRDtwGTzwDufs3F7kAJTj2SAE0dq23PIO1qiL jmeehs8JnBnI7Jic6TKvc4uWTIEjFFcWdXTlw1pUqUh8LUHbNPJl2OzoYxohL3qtx6IrC2P9q9zo sfglxavF7Nfi3xQ/paWvjkPx8BYB5aSueChZLVMpP1f9NwYDTpVrsvd1zcsrlNj4QksFhzTClPXw PhqvYnQ2tzdsbQ1yanpuicV5uIrXIsxmOipY59IHC+36wsyIgDu25WVvVJoabumlCSoo2qCpzkYe X2qF5fLi+k9OTuz05DgwsJoN+n1v+9Vqqt0XuCZeD+z4u3fvlkquFflu7llqtklRScpNJECKxA2/ i/URU1rGWpLeRfgf66pcZP6chKOZdVotu5mw3r5aOPg2UPyzsodf5ngbbvW283J8U0Fsk4d2+yIW DUglZV8BlrWQowtMhki5jGQs8GrSsIFHoMKgCUbpjaeqpZqg5+XgdnKs3vQWKil56Hqqe1ykWhTZ QHqtwG4mzFWPO9c5164wm1gLBvmCxheve1hUMJUr6pqe5SuzhQ7hlFX+DpxWvdBqOFYtVPZxUep+ VoolLogS3qJFpPGULHNF21ubxEJa/paxKs5X/n+B0FjzDKXXUS/kN9+ChWHg6d24bK8OX6sP4+7e Hdvc3gxdKTwjhwDwwi4vLmV0aU9GhyPCI43L/1/dt67HkR3Jnb43AJIjjS6jnZVX8mPs+7/C+tfa 8qxl+fN+Gmk0QxLoe/mLiIw8WY0GQYAgJdfuiECju6vq1Dl5MiMjI0+qGODThnF2o4YYP2QINZ/k GcEoYWPCz1jg8Hygxor/VIZ1olqIvc409JTXDogtqAN14xUedkdZZRiq//2n/8N5iMhiu91Q1ho/ W8IZhuwXXy9Yg6jwVd46wz9naPH9RbXEiR0bULMVa9gObDOjD89hRtr6bmFpp7YKEvNPw1U7Td0g 5WnHh5RFFeFYqOjlj4wtXojewNIcTF7sKLudMiMpODYRGzy2/sh+qGU2VRYi7d0jHhQ7HxiOoRYQ jQSkUwVVbnx3hBETSCVP2xHsbQCME5TvSPAO0idUJUCNYkh7KCU/5USqXlhmEBly9CYN8xlY86e2 mKyUSNjvueuulmDYdyPrSQwPBgROgL5qbS51SbeM5zkYvoR6ZsbwPU9dmdI9OdE11SGxg/IjeHkD tcVel3qx+FzRe9K/2rEpq7y+yZrM5DsaiB/NkPvoZvWYHAoyTAts5MOHTgbOFVpfvZ+r0QP00QGc o4s18KnDDGDzhvI5aOqg4mvhc6pNlCIIw8bwWK1GytDa4xzfbOQ5AAAgAElEQVTsb+h5IZMHe0CA G0XToXZhTXUrw6pkRjiRyldQCC555IrlSd/9PTOZkGrG+3/3u3+hNjxbmW237Z9+8y3btaFH4ft3 76hbzw5MkeyoCR3CD4cDC6ch+CdvNp5RlG4JeFdixl4WvEpjlZ436b2FR22sEXNud5q022HRTs/w rpzxe+hvbuv1JTCoexDus3lYYXDcM87AOOTBYIBm5NKK1Me4HXV+EOKbhEJmhIcIx9Rm4tT2A/SM IAAIwwUxl2nbHN6mYdvthUcwTQzvC1gAEvAROg5tpe8PcFt4UoDYteFF1O+5+FTJq96qixmh0MfS 3+m2JGPZWDh2cayOBYDe9RWxD2N45sukVlhycao3U1LNMUPYvHML8PjQ5ldSOqWRTkJtBf71Lfpo ZJwi68lryV6QfuoFH6sT4Z6H2g2pkwda9ALgHdrlYNRkQ2Q8jEECdAdWtQEt4VaYFu4N8jTwttRI Vt2/iVKmtw6Sq0BwEYI7KcfBtZrUKjelxhvyLLFRAr8SqVelW6jNs/duEjGNMEQAo+6PHkzcjLhY jXjaT2/fcr786le/pga9hw3PlooJezZpV3nTb76JrDSqI4onFKU9xNmicFm34x4BJ3HOWO2h7KMz gtaU92HD5ecjYi5Ir+AtqhP4HcQMDVk8IxQcPmCsvkRDidxDJy+q1tBbYnnxYOEfJyhmhgCfqsSR RUont1Ib+Al4J4s2UEcbqe0DNZhY3EpjNLTFVIXHmabXqdoW2Tzsrpw8UGrA+VA8PeeEweQAQZCf Yog3hEeknnGSYunUAgWsnXSIujLdnwBfGiwS2sCYVmtyhD0iHPbQSA8UoKd0vzob2f+MS3UykTCZ tN1m2/74P//I7/rmt7+k3Mp8qZB12L9v+23XrwLx8upm3d7+CFVMnQelK9BWB5ZyOIi9Lf3v3t7+ Ch1tENaf0SAK6essWxv8GDZyiELvM9ljsa6t+opwB2OicAgeFDrOgJ6A8E+A+5rG7M1Xb7phzGai HefDsyLjHGByAOgwLPLETdGYSn0U7d+p8IFNTVy2auAzIRNhmZItytpJAga4mJurKLRmnSMkbkim nWX4SQMeIR3KusSlwyYlhjuNToFG7DHmZh1JBWUAO7+QcjQndedG9MJsfKkh1ecV3rMjTkARrDbp RRex1i7o+HzgGB4B2r+UsfosEskkEMbA83AW0IJ3Ef5p5GCCDixgNviePmc8CIR4Q0Mb7S279ypG PrbV/CpS6FCDWEWNYgDroBbgm8ELQxqbk8R8llmbz4axlwCOUeIG4tRW4qSMhtUeem2PSkR2GXLi Z3DRgI2I7yL9dRXUdpwlIfaqtTUqYSoctfAcUHWP9l6vvrppP3z/Y/vu3/9X++U3X/O6Iefyn3/6 c3sFzSkUGP/5h/bt775t3/37d1wgkCrG+/76578Sb/npbz+RWIj+gFLrnLLv4bf/8m37+tfRiME1 lnb2hrGxqofLg2S0ZKDsWcOrdgjUoliaTzA4Z1j4V1erdnX1qwxz9BwipHWzj8qHo+ZXlNWEN2zO FL8zZKUFkuM3jT/IvQ4TR0dgQ9JRc5WCJImcpKGnNevSzvAmv/7655GVFekWMsUwKMCxfNSeAZX+ 4p4F9TmrqH4ebeFc51pb38nwM6QNWoQTVRUnhcEC1LJeIZoJWeogzoLuhRE5PmFhT54ZJn6OI0/1 Auekb+qdgYAhYuYt8BwtVih/DpOoAYO/M9GAqvFo6AvFCukPypMQHhf6D07bYrpu++Om7ZENAq8/ L16mEe9dL5btNIP6YsT83CVAHpxJPsUYwBCZn6IZPmqMQBZ30sJyIbF2DzwedPYNkiJVPpmZUgt6 ScPE4rCmepmkZnaLEFcqfMtDEYFWpUjf/POv2y+++TmbqP7qN79oX//yF/zbzetrhilYSGiT/tXX X9Gb+u3vf1tuIxqWogciAGyI4F2v81mR1BgyQDUqFOlDHX/KkMTfuicmnEeeBv6TOoUyYN4MYMwp Bh1a9+ZM6Ss6sztpFi5xyhBnl/WP+V5lewiqp3HxlQcQTda7KSZREJ4J2DAqwq0EAliiBs6nKxR8 46Q4BG1C3qNCTjLdo17xtItwNDY9SQ6NG0HgPMQUmbAQNYeMdLSUy2uatiP5jCqotxcGjTd1NZf3 JmyvyzajQa0fpFRfJV2IF7bgFz4RvxoeMErDZwTYH7uOc//mOQept+5y48FFPdvV4kpKClK24n8w VsCj4vT5JcKwzALXgfcx78NwUJ8n3gRt8NJKyzcAIUA81GF2asPkjl6cs4Pz1o0I+SxFw0jEvyP5 QZeGy6Er1ADAXgYeRNDTKX3gTLtte/fT3/g+tjI/RVqd4cjsQsegEn4V/MHulxbL0NbX6/abNTpG t/bmZ28YMi2QuQwP7fq/hohhjAeu6ee//FoLL0i8Vhxt/6W0SXcj2LPWZzJC8X09mEhkqs4TC/V1 70gYZHoU4Ctt0SX5lkb9evFayqfBgcqGooG5cXNBNjgBZoVE4FeJsR6h3Vx8LbVaGyO+9KZn8Kad QevhlZQ2gG96zAuIG2GnwzRrXPGZ0IipMzQwLjalwJiCoBpJFYscil2vXpDm3fHu4lpYmB51sH4W TNJQyghMfTHxWbOJatiqn1XY8BScDA8z0UMXcZPjpfCYPU1aa2+P8wbZgPbEkPDJvQg/w/HS51IN Y1FFQFbvml18ewaOb8EDCKZ4v5rCL8mXxmny9HAG0QxY7jKBC47JU0IVSvkq3MTf59OllEgHaf1U bCiZwEXQrcf5tXW8JjEmGUuQokTD2JZZzSARYrKgLyAmNzJf++2mvX7zs9wlkz7hEHGUKbR0STf6 CaSTRY9sqHhHtYtKhtQ8egaK6d9IAduzyfCK1xAifenpYP0V+D8v735NhPGk3W7DjYmeFN8PYBnn nrU9rvcoLIl1fmCE08PpdZVUysDiDQPtvpAIsfFeh9RgqvOZBSWA2cBzvl0kEKqxrR6tiapi0E9G fEHlHHr1gps5qMsRuFs7YZahAgGoAaG/qDEC2qGI0KVqfIzpIO57wIJpFlprXQgvM69O2vx4zfWJ WWMYwD8+Z0kdN+XI7tLE/jTHSaOYhHfVyQEfdWT27/z1L2yscNQhdUbyk/WwvEsL9O6SJJoM6M6B HJ+AzJIj655F9TLuDS1XU8bu08myLfB94GG1A42Sdd5h1HgGxuyh+43MI9QWL9QW2rsCV2XEf4o9 XwnJLoOMiWr+mImI8K4ABt8s33ABUjhtLxxLO2DJyo1urqejfUHdsHVmvhtuaifGPT7kkJcMHSYs iLF1FOMXeDHYxYmHJH9HIaC/YPy5HtLwGZ1Uc7ndqysNpHxo3JPlrgYgCOGRLbVRdUdihTBRIxjY 0pG8rijgRVifi1+LDdiMW2FVNroymqMEZ/ZYdObPw50dncxFG7UwC/JyGBORYzWv1AwYnjMKolWs 3J+RVpBJrPw3uocj6ZNUhLhmSd3EdSYGKK9M3yVRy1TkSEMlQB0Gm6C+8WJ61WcdfOBVh7FCGPjT ftp2Z41eHjv+UQD1ewbzBaqgGd+Z1+PJiQUhI6ZUKowJH2CqjJ4xpAszLw1Zckt86VhSAB1P+TO8 CuFBSv2CCagJtU/yKcNEdo0Wr8Xn9vlrk4BeG4dwM7hUSE8DD4lJn95IZJNuXr2JFu1ved13t+85 md787Odd3bKELGYSnB+dyR4LNbEZk0TdcXiciTV+PxrP2Cg6DFM64ESjiXoRabgI0HrsyzVbEwo1 ccjQHXdtmGFBGxwPFdAgOja0Qp9N2nK+6qA9QsjQFMcwenFr44hwn5uNCJMwrAglVa4Sz63yjmj8 FPo4WdAZ6Z1a46SQNd4vLVtN316jJ6UEGR1mBFnALCiDRobNbB1WRoY05JtdVcAia2BhpCD0Zzvq gFMqGFDcTUNdSMyp2gHPHqKS0cUnH1CZyzZwKKjOjRn1kCf2hv6Ipfxh78p/+9JH3ZBe4giD1R8C pTegsQ7iWkjNgidFsNwscsgZhxplz0CdtZcfhYkFcANZkRMEYRI6JGMXB46w53kQOpHFY/CTPd9O 7NQc5jPPKbyhy3vwXFiQYErDJU+lhFJgnd2pRVVQCQQyk/LolsGXgXfhi6+77EOPoXp4xlmwgGYL exYRzqUgYG09r2scUbJHQH4Pj2Sbu3dh2kAmPurrZPcLw9kftyx/kU0QKbjfUvRatMaUG4VS4E+k SY85njmMEakloc1lg8Uu4YHF4N4p8xIZNxukpCJEyGwcKzfBGAdXPLjo/eGpDyMQjT5qYX4Uhi+I bY4tHYFxej+SF/LfCAdsN9rMqAOvFvV6blFQH5dARdPYnFy4TfwOYxHKD5qfaFd3Xv8Xm4uB/RGo 0ikPd4fWNmgs/ATAffLAUD03M3juFD0lOD1/36cC7jjmdcILBsA0PbR3d39r68k1tdg7cHgii90D PB1EbRixdUdM7wiVqhGrmav4X/0dbrNeh2GEouQU3ljMcLYqp5xHB5O1CKyI0KVTjGlUI2NMySGX YJOu7ABvQO9fB9+rZJnuDdsDCycWvaka9YmNbFlpb2avkB5gvCETAucSMEV7PXgLOY6ekN7dZawg CIhC8C03CPLO4vrrJmPA2aCzwi+UoyzbnJuLsobAudx+jJ8+2SuQ94MQE55XDb3jbKPNLJ8FM2oq 7ZnN7X3E3KoF8yMv7OxJnLVe017Ry5g0/wxlxCwvuGN65YFxwYiIGxcZzOCkicTqUFUZRo2fG5ho 3KgaQRKsgPUux1PWWMHmInsSGcPxfH17nD2ZMDo88PpT+wQaBLkozHfm6RYY+oNHgS4/tWuOF0fw TSaiESgdveNitseA49j2xLTcNgoeUcV0KphsV9fpuq6l3UMs4SGgIszzgaPFFpoUTNADMSYGDBrE 6AxYiqWtIau1ZFSccAF2qe/rGJdldbVwpMWk6+o4RV9kSsp1TpPvy/d774nmSzas44Jip+IrJpff WRZSHyR9IkOS8pmC8igRYYJhWDBs4jPo5I/S89ogtHYV4hOsXoSGFHC96aKtF69CzyzGDQuYzT7i c8iOMeQLBYLocqTFrmcu/EbXkfcWBteqrhkuZ6RVpLl1sXHOct/GCeM83oyqIocK77t3y88Vr9aG Kk5Cr1zSMBHSH5HhPCa2Kd6YQktSKljcLI8U9IhDapNJ/jq/q6jXOnnToQ29ymqNnFcaiB0rSiaf TBY9PRHTGj5EiyiST66U1UY7NmT+KAUKX5LW4MEzcRBnQt+61RoZnw3SKor76eEEPhVALXZuJnAn qw765gOp3eSKSmFMDhy5ezGNO23LhWRJ9qxpnLTdHkmAKeN/FU4KqMT3A0tBV2J+WyFG2mNMc+4G q5e255qtq+50yTJ68RhEtvfWv8pPIBZfXITWZQm1ytbSy416iCTOVGmYEFk/YSbR6r2WJNVTR5jD mrdyDKcZO1xDvWKbstQ19Bt3eqFng9D4OGXp1P6wbUvQW2LRwWMjwBwdiZRIsBpnUUUIdjgO0wDG z6gbcmUNQVnwBmLv8sKjKv51p5J0b8Uhtlqw2XvRp6rhs/EnzoQemm6aQWyzezy4V5TYOBuqxAIS KIvicaHd/J75dvK5IuzvCro13CvPxsbybCP1XdL4+Po/wmadHjBWl7ykjzk+lFEcLrUFK6+nUSve 2PDSGBaOjiXC21F3luwKYhaivaKTgPkERhu6KY+5UDW97wmLB47foSskbAM7G30oelSo5aLs8XLe rpbzttnuG8R0KeY2n1FW2IL9bBjg5q0JSnfb5BApQy9fVyYGPIHVJtx/Te/Jo16HvPyYOYeSeB49 NLOlmaYe0xMUVhRaR8GT+j8R7tTrdoE0bbeqEJiFI7XD9/hw/liCcEp0SGEA54jaSiYiFm25nJBo icV6tUTRt9L1FhpMikhZSSJc+tn08WE2rXiznm8JxEdh+ZhTVrzbBLmNsfaHQLnjMFJ23jQ24PKN t/aKb4nh7mv2XDok/CEJZElWo4QInhVggiSzxom6/LGMm4ihQQOKTN8oBZoPduzx+z7TsLZJe3+c tD0Irh/rYQ0PeETPpDI8ZmQufa89r74uXp6kmm2+xgRQUUbl52jAUsHBXkEBuqGw0Bpkck9BgRjv 9PheZl9OUmOkh7QP5UsQVY8D+93t73bt9Ztr8lTEX5HmNzSvN2i8gAVznLbVFSYOyiEiVIrR0fyv pqMTKT3d03s5a3VUQz0L75mKMQr74mRsjpmvWRqkvzd17APHqDutF2vFYruRrWY1duuQDMazYUkR PJw5FpaayQmHQ4bQYb3HnU9O1QaUO1GWdDXHGK+46QCIx7Wy7x67eEv08DBF0Ts8Bsm4KAMWOmlu h2ZcKG4tvdHgHDl5S2JmdFnWpjLm0mms5HHKQXObLBs2by79ucqQh8CiOUy4UONmSL4EyZgZzSxi VykSsofkoFl/nkZOHqdbvZEOsVLtoY2r5b2VeVRTDhE9G+sepwvVHY4MUs4LP/+Oz+llPT/yu9Dj 8djaf+6XbYdM+kcC7tMHLMxzjVVu+E/87LnRfOz3Z9US2hhVPAs7MHlREYrZmLlDX3dJ+iSC5pXc QCzQbjjkXmvnwb8AgvH9aHB5HBD6KeOyXs/bYlmaSABfWiD0mLblGprgp/bup1v9vlp2BU3s0Hg7 0+0mZ/r0vVFCRuf8+o6xeSS9SHx4N01Gt2sqqxHrt18aVJh+ME5bP3aMjGY0LTjBswlWue+tNj2w Yc3b0jelVyGEcdkWbHm1a4v5uq2XUFTQvR4hCxN8IHXhwfPZtukAHXwJ5eG62O0GHt0e2CE62yzH tI84Oe7ZdXLGtnabDV9fhtKs8UZnE1W8HAKSQXGRF9jBKcsH+RB2JRnvTjswXqqnpLA1OpJHjag9 IZfg8DqKeCXvIYroVfRsUb4wZPF8cO8saQKWuoQyqZRSc0qkx9/9YxmB86ynnACFxxNKyPx4mLU9 o5WPVxcdHpxT7dnHS4ZyH3tcRG7KMaeXMu19AG28cKGsoo+SS4WFl26g67Ebm0GWUeJ54LXI3dc7 4U2d2mZ3bCvU0EVosZwM7eY1sJKeGcsmrd6ZQmEAz3C72VM1QPgUJlhkath89ETjZ+CfNX9ZiGvh wf4g86EUcFtpde3gOKy/hEVCjaJsE/awIXr8QY+hc3pQqa8fWbdorsCAe4ZKgdjpAyc5Dysc3lYS K4H3Nm2r2U1bzW/u9cMTxy7Y2FGmtZxfRQF7eHip/SStdhmr3jDCJzeO6edoiRzrWWWWxROz8sdC iwyvsi0XjAj5a6JVGK+oC9BGt2c8ez2fkzsKYfcsM1JlQHQED9A8PddQeCD2lEZVG4PpCib/SgpH cxs1gFKSyEHITb8v+OLpT8ZhYSpjoOHHAI04/CuI5Al4e7s03z7V2LxEVu/Sd37IiOL+3ULswSyh O5ugxbwqyhAm4It7q6M4Xc+2lO7FJrxBWoZqovE+hHCs8GcJGMImGCzsZgue8/UrSe3Sg4v2Grkf FcNSs3wwGJs7eB3UEq1XFkqUKh6Vpz20Y/Q6TI8oN+TxqHlyG8gN1SOxtzG5ZzAqkdGSFRx7NcVI nofZmYSoSg8VYEU9IxsmoK/fqk2WKiFBil0lLp2dL0OlzGr3CsYdgAK0K+ZY42sZaE8aejbOFiap EaFJlM+EikBtnrBYy7Oy9wYzh8MZ5ORbYbMKVYabV6/j+6MvpOLK1DkTiC9joIUOYyMIgdqi4U35 /vo5xl2ceB3Bp/MwgOkOg6X5A0MVvQcDHMR5+R5ypnprtwopukeie2biu/Z7iBGq3GhMT3GdbA9l BUNUSkV4dzHvQOG5G2bt9rhqOzTsaE/jXvEYPp3K8CWO2hX60uEZ+9Ddz61nDnxjT6EysGnUc63W dKWXEl/nCcyLYKZHdWgwWGb4wnAAuP/xx3dttQZ1YNImR5XSrK+u7u9IybcpsjBnYC0OeAI7TOYw cJxIMWm4JENjXIbYTTDuZ/cUPuh+MmsTgmzZrj2jS/eIMxt/ZHP6P2d8ofGCkkT0eXre3giZ38GK 7yB0ZBpjM+H3WWuK9YTVyxrvygrnE8zqCYjwMhB+HEAdQVIAtZsOzcIgK8MZRgWeH8mU7oIcOGA5 Z4ffAi+iV4Jeg12mCMC2EnFmjTeGU7V1PN4/n+k1GWeHj+Vey61m1pEiLN2wqeu2wtnNZtOWc7Dc QVCOAvrgkOGeHDKyvtACu/FFWX/qMJrJnihyd5LHu1dBI84XogepZjgJlwytvW8relibE87/9EYT kzNM9iXq9j6HsXuM2hCm5JEsIUC/KbIiCNF0od17qRpLHT8RS7dfBY1U22emEDvQmtpN2rHRuAAG 66qFTEzx1GpYk6+XrMloklLN8sROJ7yWkDu+WkeH4+R/KVQ0fqaUf7SmshdVOEHCH2reS/desa4e 6mCijyfVOXXKL45xjPHROWvijrXpmmGfFkEwvYNyotuP7BjBd4U1NSs63ptkEPprHawWEwGfdzPW Lq0Cg+rWbw73tYFY7nk8OveMVWBNCvOk64/QSentgv/F86kDlpyorNXr3hRMkZ9vlhClJ9nOZKY1 v2CccA4a2e1uzEqHMeP4yAskxwzRAET8ooa0su/9DJEswuaOzOz5vFW4HtdUvPjKS+whrMds0lAM cTM5tTnwvgmkkNuTj6EYmOEFvKuPaVzx7OMDoebko4ijIGSitfYsvKej5YftyupwpqbqX41TxpW+ 4PADfeQWNGDLqfhU5qjoO+NCR2Y3skK1O7FTybNJu75as4CXqpFsQqrmR8Lg4PLretiSyshOprQj A4jQwAau7HjjkRyz9u3N5fd0uDfMwn1zl/eW7x6D9v4XBMx0a2wko8A3K/st6RJqqQ9GDdmGXudz ON29PMezfSGyIYgxSBjkxZk3E519/Oy9lHOkSqgLg4ANAmGtbAu7RfT7ysSMQvcahucbzDKPkR1n VMchd4Zf/rg7N2XTDpVh0UDP0QEH0sZSwtBcRTdn4FTHtrqSkdU5Ck8qHovLwZT59by0Yonnbb3O cyyq/2K1CTzfV1T2xXuhN/d0i3UqBuolJGQ+1Tv71O/2Ujyf43NYUsjREnydKGXLVHlhgCQvKSFE 7/5FcbOQKgF+I5NnYHG1WrT37zYMC5N57mr8Yuw6INvLaHzhXsZ4//J60VbR8ohzCaoNezC0D21L GebQBweAh6LTmBycnCFSOA7L+uJVdjNnfoeyw0BZa8lcsB5hCkDN7FPqoVcPyB5TJRVa0VVGwQW0 qaARsia5GSTYXhQ17s3vwhSvblA0bu0/9w1GEsL6XjbbABUCoeJS7PcxuN69onveI++lF/ZqPNxV uVMwchPx7HRo3sbqIfYI5TFWdYNurM7vz+FZ5V71WC30sBIGAHQhgiiSCajwoJIIPfcw/hFykot4 Xu3QnVfJ/jic9mDlZly2NUF4KTxpY7s/XSoDe7p31f7RgKtyxFL7iDdiEwWJffzyXDtR7BBmsXPx VGzmrLHBGSqGLBTS0dS5CsYyd+OYMAg4tjsYQz/YcalKP8u4BKMEpfGTGxtocdvDo7IA0uYwiDE5 qSAKcB7qkMGUh2wHbm+Pan0L9NFTqQ1VlZbXwuzX2AuMgyowG4P0DjOLduYoPM1vKeqafoA4LHus kBUhbBRmOxUfG4S1zfsmcgFoj4EWqI777JPFt9T1rWrmyg1KexLCY53Y3IfyzsU4dLJnpTqIoHre pZoQA9toKRPNv8FbHtStWkYrxj6TKBrDXn7VPdz0RmNTsSGkVlpQYdTeHjSNA0uRIOy4Rm9CsNjZ 4Lar2eYYFWPJ851BTQ7jvUtlUrTw8zKzmRM5NMZAJ0EJ1ROzgzjS0bNBaJ92vIAKzMWjwK+PHvI8 779O/c/pfN22x3fcQYbTtCE6AfSuZE50Cc7S0QK+21pSrF+kt+0OKg/zdneHbriztkU1/zBpS2tW Zaupnv7urGZJoAyoz4IiZOBhNSS1+5835rsbhQmoD5y16c203d1u2/YWuyfCw94tBxnM2RRE19Ap Yvjoz3edL8+AS8Ge6A0hrULOUbTPCi+uP6ha/BslMeV7ROocmJBQ4sBCib20xy3GNMd7AiFg6lA5 7eEv+xmyBTtTYcWIBEkzNchD2K7sUMKxjp0mUJqu1jDT93Y2LbWSRzJAum/814uBRSjtJSxhDDO8 6qx+PROqvhdPtfoVPQVvPfkOOxQ6S1ZcxHMifttoqKpkj+gepVsSaRCas44OelZWfR7HLk6fOvql 32Oft1E8FLe4G1rbgqh7D1j4iGO4+OPI8xqjfY9/3fD39K7iKI8/j7nDEBYwwwVDKDCNGr9SB+ZF jKJYSs6AIX2EgZu0zRbaQdF6HWliAOIHFH/Ks1rN5219I83qPnkwcXvn5o4xKUuJbON06FpEF4H6 s52+zhkuQoDx16v27u2mbTb7tohSlPVq2ZbzzqVBR5P9CR1TZm05r1I7/ZsZdkZNmaVvNRHLAgsv Qd5EDw99zf1n64rpvlx+wlCQaXUrAljk7SwT6H8SX6xj2Jnx9HSRbYss6fl11O4vNVvKyYJ78VhH Wn+0Ggv2VF8rGYd7SyS5erHpuSEuMFNvJLKLXXJ6dO/luw3GO6zsm96xPL8E20ahr7tvyzsPOoVD vticasMNP2PSNNK7lToo9cHCsLllmj5331Oqc9ihLEUGT0P78QAZ5N5H8bnHUI1X9fixb33M5z8z fvUyTSjYdgvGB6UFre2HHQcWQCRbZ5WdCd1yGPZRDwilCVIpRadleEbcmY7Hdv1GXV+uB2iY191f nlJnLfR+hKzn4kJRaRBF2fgQ7+8cI5C+ED79rw8sitdvrjq/qBi2BdfEkppOt3f7tsPku1q0Jbyz EiZiMcHgIZREw0xys9jYU5m2ajS8k5MsyZ50OqMvqXZe0ZjL28nu2Yx/AgOL95hR3rNscQOJ33QM 0DgfhAv1eMvfIxSspFNO5KCB0Isqnklnn/e6y/Okwef4TRAAAB42SURBVAWLdfF1cazCswvqgqgB UyZ7+oYVDhrPH/dfct2Jd9oApDdzgQdnXa+zOISyz2jtVZqvyPi76WnMRZNQs2QnwnZqriELWcqm 2LoMpFpUBEC8EMKRmru87uxIdd+FuT209uOwaifTZZ54DGf/+ufR71HX/SFz+NmbUxR4+JNqCWky jmpdjo7JtPr7fWgS9XANoYIeKFKxa0qP/O2Hn9o3//QzuvMTdG8+21iNC3lH5I4KYNnEUBax7thg lB1yYkvcD2gRBinlCI/SOPXvLb+WzNj9h5I4zNnfT7FwkE2E2//+/bbd3u7a6WrZrl0iFEKB6Gyz vL5qi+nQDrtD222hNXVsNzdqxtnD2whdMgvUgYyxl2OCZIjNhFHXAouQJF7r36HP4vykaiwQyspz dXgjiKyPuRUBbDCqXK/LbowNZghk4mUs2Mx/pWx2hwTOvdyeTOiof9ICjHF54oaN9jyjx8si5ElX CKnEnPxeDYaTFYLZx2F6ejrsbhmGr4TqMIag8eBjDrXx9di8uGkGTmbs0F42al5rvSYSSdgY8J7N 3VahOMrPIP/NdF20ByOGKmHKLiKp7CyKnB9O+T5+DPFfzRReCuvu+7zjv700jeEcT3sJz22uVHlg CQt5O64+RwcZHGw7RKrDpB0mh7aeq4yGxczzGWVgVgtXlsuwabOOzE5knOSKn0ZqjJwwfODYaZVp 0eChlizAydKvCpOJQDp1mjwQBjSrD1COAlDXVH49kNW8ebVs795t2+Z2164WaqdFXO2g5pY3axkx FGdvt4f2/v2mXd9I+M8s8vRUWPGvujVhN2JgS5kyWrbnItNnOjUk3YxeT4bJfUDTDKTfLRgH+oGK cOWdHFmCgu9dr69TjkaRqRMEZq73MNTZOFMBnFjouJhHNbr1nIWGdew5vrlR6d/U4iphrPFMe9y1 TAdKHp2oqeYO3aD3pWjaltGBtIMjrwn9a8CdCg+H0kTwhqDnjxIyEDW7SimMCf5G7zlqROBJsbkr ZY+Aj07b+golOcFVi8mF8jKnp7DBsVQMz8jNLli52+E9124eSab9BIM13OdNXTIOl7ys4TMB7WlA X9gICl6Prrhu50UeTcT2oDxQwxtEwxkMRrDDQ23g6mrednfbtl5chwuu/RfkRpX2mELg1k9elDCM pRRDfl7XVSiLTABrcIFISgVmNpb68DEKFWtuP18fl12Msp3s8jJvu3fbtoeqQYQB8KSW62V/EAdh X5DASS8qF07PtOKwQoCaxUbzTEd/mUQIg36SOB4vq2SVtG7Rdgte3am9eo0qgaFt73Zte7tlOzGz x930wkXADms8DrkDZ5sugcoyXJGF5Inzf56VtdI5wsAleO0GDKH8kMCzKi3cxstVFGrpLs8GcsxJ yxhzRfJB2vgpAafQHRst5guNR4wDJYyGE+k25OpFwxB8FrWP2Ix8zxDxc9YZ57u+ls691W8dOaiR R78ktp2D9xVAPa4B14Lv8RyFcTycWrudrtsJ3/eMcT6FF3NuGC5FX35/BbOtafX3Btg/9piz9g9Y xVxZQQG90kXCj8cDdmgpMSpcDE8iPJX19ar9+Jd3iVM5TQ3WO4zSHJrthZjgMMS7Lkh8w+QQYaIG Wg1YERx2WQ8cZh+b7dxDmjJKfOND3P/Oo/Eur6RWNMgMgwfwdHcY2mqp7B1kXG6Q5cR9oXh7s2c2 5yYmbwXE2bQT9xReFV4jqTpwKmNjFXx2GOnrq/M2w9cwgqgewJAoo3pouw2E5BopHaz1C1UFHBbR M27Ez0R9n8eNmuMh+4Ja0kqXSHtejEPNeCZuFx/IMNEcPRgYJyDinqUxL0/b84HesgnHwYhV+Nb1 5NWpRwbrvNavIwZhIMPo0UDskFTZ83TUYmNnH+iqrZSFDO8MHrbavm0jO4oeg6DAbKgMAo8KmzAM U+dOGZboNJ0KAdTnic1NBzY+zSMYzr/tTm2LufUMD2v4AEnUWdNLn6m6VZ8Ls/pcwP1cLbLR3RmL AEWgUQbiiTJD5mzeFjOoeyLzFFyUMDpwl4ULhPtMd55ta+mvUSvrBGawOVLBMI8wD9pL+9NdZI0Q IgIfu8rOveMY2JLGMzLnV6szokYFYe2lnNUQmgeT3xfXYcUCfv9s0k77Y9vjX7TFCr0jNsI8HJn5 fP2z1xGWamnbgGZlv0s3gqbADKondEmJ9/KPeuEBVPN+1GRhs9m202Foy6slO3PLa1GyAmEiVSSW IHouk2gKPIbXFiqhtiyVeOkGtcqoVSWLIGBWuOkCXpUgfHiSGRJHSzHU6PG5z+bMsikj3QFx60tZ KcTZSBoNNuHVFWhYjDXFeMcYyyAHCTOMorwqYVww8twMWSPa711zoHuTDNdPh7ZcrwgBSKlBHv7u AJqONtLcRLsrOTbkNqAXKWuuBJlQO2s/4Nqe1sbrU43CJY/sg+8/C1gee+9Tv/8px3y339G9Hajt 02FrSVNrwTqjA9E8A7S+KIQl62vtGjl59Q38GTLKA8BzUhSq4dAOrO4tHQNifnDkVfWdqw8cJo1w Noc7I27SpTDxLLtlA+EdsYK8yPAAgH8HwwNPCZPX3lgsGrbqitIOY3I4Ureq1N3l2YuEssdRhzOC QfWIGa/OLmqAACY2wmC+Ozr7qN07rm3GJACvEwYWWMtJIYzoKce2Wi8VpgRVxH0Ca+FVuhvpKZUj BndstHxnJoWqmLgalSRu2utB2OuOyaibi3GjLlY+uyh+ryV5scj54yEUPkkElfqtTiOjh/bx+y2a xE4YysOLhAGjx0eNt6IjnzCB7o+t66kFbv6bZLuh1Q4jVhuEeAhogEp7tYQGcgz7GPeExKS9Owys HaRw4DOO4bIT1ef3JxzV+9L9fdz1fO5+iHOKmqHlVhDg5DVgJ1rQ+1GD04oNhQGBMuJWuycWgxcd 2OTcmfK9Kn9Amy7KKJeiaYQ0CDMxSSjZi4l06g0tdDiX2MFZ0QrQmfjQVqtoYT/O9ecATu4Vp3aP vWZBGYKU5p30sgJvug4sAgfGB9rzm7tNW87WgWXogEcDYwFwbzo5MozoqcvK/rYlczrfvCyMMUIT SEWDpa+sGbKCGB9gVbj35foq22dh4W5ut+1wQMn/ho9IbcskywwMkdcFXCYULFAQLF2vB+KG0eD1 8e932n+SjpdoADYE3TiFLIwbm7qZ7sz4VA8pnWjJEqHA7Xw+YW6RbCDlAJhqtK8PZYZUruA8lvBj erOko8wkVe1MZyp0dONKZYYwIIg8EN7ju9eYo5FN1PgEYbSOVWTcHRKP13jZKFtr74+gMiyhHNee ewzDyxcud/rL2LP6GO8qmx59xmMOw4QxMz7lrN5iop5y2PZyIZeLvt3siZ/c3KBYs+9USQoFVQu6 CpR/RYiyUfdo1ADGEoDBwsFSFxBS1fKZGksylLHbllZYo3AmOF9dC3wcttRyiL5zw5vsGa94J/+X et5QFphN2puvrtN7Mi7iUAXA/HR3YBo7taPgbe72IUAmjwNA8RUZ/rrLkbGyEY6+geJaTdiVZrO5 zXsRBgSMaknsJXlJ+HtkTBm2Q3edahtTerxSSmiJayFsFNgcmUKGPpBwOcP7sh2VSluyXdaFkNAG EK3g3Tk5xyzqLtWdW6EpSZrAzGgUTBvQYTpAVOCEx5R7fPKdpCcP7zIK2xMD7PWO+DwyfbM5DHx4 agkxFDpJJCG64mncg8X13J6+jHmlbIzIwHHiaqY6ppf2TPSHY2vf7xdtAxrQM70rHH10xqyfT/Fy zkO6x+Re8r2fCWQ/P+Yobh1QnBqhyGSqBqf8IwdUIKdlghE2bg9Hiui9ukaxaO+oyxsw2Q8hS0Pr I3hbYg2juBrGi++r9WSst94HniTMR63D/KDPgPXwVhDWMIO3nD4avtR0OBdpNEtI3y3Ood3dgkg9 Fe5DlIpZm66nTF3DSMBI0UhPZ+0GY4IM3gYGbd/W0XK+A93Gz6SKAJCXoUxIwWBBYpGsr2/CUznQ g8V/6jBTb1Sh1fpaOBeY+saDzB8iyDwVyZUZTWS8UCgOj2uL7y6NQ4z5ubyHz9L1cT3TaGNfOV1K MLi+s88HeoCbOxpNSCtX8J7/BmOcY8/TjLfz+lxUr9pD2V4uhrmwIGZ12O1IQVAhsj7nmkJ1mTZ5 thsoqqK6sUY0QeXCJ04G/HZcauVQu9cZjr0pVzkkMB/hqjfOHw/TtoWi6zOJojiGzyDUh43x3Ng9 Fgp+Ca+qHvP3d+9JAoUnBRLifAaBYxA599QC14Q7EpFif7M2YUOIV1dYRK71K5rwODzJmOWDgVJd Wvecx+4xb5xemI3Ygg0QHF4kllG/v6iQjqveL/OstNlhZXRJmRri2sBFgX6cRufJnSxY4PLEtNhp AFigO2mL9ZxOgbNgUI1gGtnUgsigsvzogPT5HRfKaiVeG5fhYkHVAPwGfBALdH21bnO4UBduiqzs A1Lv1rNX2EvSp0m/VvaMIcQmg3sCzsMMIzads3ZMxgltNF0QbtqBMD8ZV2Tc+O3hFfVATx4YM4FQ SCi9LS3zo525P7/8ZJwrBQJp9WN3q3MoymzgQTqLSKY5ycDCEmGc+L0hJIhuOPhSeGnYMIAP8tnM 5IE7nFXYOU/tq5xbJSMoY2UcT+GgvLagr3g847MQnrwbFow+nnsMkR30z9VgMOS2cOMj3zH+4eme 2efgWT12zDe3Q1tcAw/asdwAWagBwGkM+u37TZtgh45GmAAkX6N8hS3AuwFyoWrPlAQ2hDBwos4s AlC71jX/TV/Zg+1MTHg/fuh11/Xno30WjMcM3kW875LRcgsmc7r0WjeADjc1tc/wmhIOYiyyPVXo fMN7qZ/BuMGDWd8grO7hhDJnCgG9q0MdgBgeBjiePhYzPs8EADwrDn43JwkUU4hO2JCBfsFknThJ 3fIIa2pBMlL1eCtaq+E9IMPyPPHd8hDklSHTh0Vtg8g+fCBHwjvEnHiDDQbeHIygPEZ4VCpvmai4 mFrowY2qReIwZi79YWgXY2j111Q/DXWJ9IDdrRoAu1jl3ED5fEVIpjcV4V6V83aWDveE//Aedqsu 74GXtlwG1hflODn/qsGKxirpvYcYZBrkmBmcy6ehvUP7LievnnmcQvXg3Fj5cNXnQ7YkmEufdChE b1/8mF9f3bTV9bQth1W7e7ejygJ3IuxOAN0hLoZaPPfwC/3vXmYRoGyJ1XsWLAiA02U7RYt79dLr HVGqa4//R/MDcMMqUaRnXSKAK0/Jf5P77gl/32j5R3hDtUi1Z/8KPhFgs4tnkUH131xXx07R4Q9n aMAzdOlfKkYE092GAIsdmA/eh153as4QtAKTP4PoeP1q3VnbBTcxWOxmn5Oz3oA1rGKmMQxrPehp rfQaS0pOQ1tnN5mO04ijNG+L01LkTntX0Q0Z3hXCMXgz7uWnDsn6ChrjaNygKod+Dwhxc75UJYTc JMLokGiKt6kruSficX8kax18q94FXCfeH/cqlB0lY3Vf8mDBRr9jVnPFJEaEhpF9xH0hMeBNts+L fv0YZ3p1MVscBppYmr5mhJDbw6m9PQEmeQQY+sAxfGTN34NUxBiTj8WcKiVodA1f2LPyMb+5XrT9 IJB39WrWJndoGiGeFLIs66VLT/ygev+9yinKozRPxQEiIAB8NINgH7xBRdOWAsb0BMMdONdocTo8 PJOTOT+EZUkxcjlbjsD/8i5de6gfgAaQrr1ThqWjc4YhYYQ84YxBiQg5bacgcPIMKbhXS12UHYOB 0i6+ToNFoTiEG2HUbDUlC3Ni2HaJyS/PCl6PG9nKG6BkMgwLmn1GO/UsNznzTvVr8IHYMk2gPLy6 5UoYTgWpmV1bLtuw2wVTW57Wen3Trq7Q4xAejcYGngq8RtXjheEKiRxfk/Ek0kOiW5NxxXB/qOlu HXhvjNrV+7buRMJsAUMrvpk7UVt/XiB6x5ss24zvXKzWXcfdXhgnrYym52IaqPDsFNYfOYd5uRQ8 7MmUurloI5MI4Lth0XZTJKmeT2M4PrHt/KXDPVQcVn7wnCWR8ffCreoxZ0IvUsMDBC6upm01VYMI ey6VV5JlMhcyd2PyRn+JDQyYHTRYjnKIHkYBjE8t7BGSEsdjOdXqZTEs6pNGX2WjEtnIQvDjX8Gp CqVNXIdZ+J3QjUUgEqKAZqQCZ20Q2j7Cz0Ta7J1tRFGA1xoyx6mfjl1cE5797eAp8Lt1YjaLPc8q RoSsJh+gOjgD6fs4ttMMnqYyi1T/5OzsC1BVBqfR92JjOp1mNADyqDoR2GgjZYaXKxpdh018bwGj bSAqo16hm4idEih04qOLFU5YEiSvmn+P7jo8s1dnbiyeEvIkZ3NgUaHwAeMQeBPINWpZJ8oKNkye M0IzPmMSW2H43YxCzxH9MpfAEsNTZMKpBnFFbkkhaoVXc9KwFlbPbdI2p9Z+Oi0ayvufezgUrMel 0O+hULEeIxj3kXMaF5v8nY0VDro56PhLQh+8HSof7og9oS8hjr7jjv1DkT/7A9TR27/rPfxfZbQm SGmD01SNnnCuJRpoVvLiJdPu8579zt0NXhZ045fdQ6vjmrvr+XdFNlAdXUKoMEl/PSzqfexCCcCG 3GBx4CUKi9DefM3+iav1jAvdJTPwQGYzUSbg0bh7NUPLqOtTwwyFFDnuRVKYcjTOlrHUROTIknHP wEE1jNHWnrNvHO4Jl+p4DEJmvI7GtaPRzuygfp8N0+L9hFKr+xBGvdxqDZ6asCs3C2W4HGNmzSmO XUgc2ePqrbD8mU4NAGXBagsOw0yrcLUBvpuKYFGtYU+pko3TkY4zSYs+NjS52gX4N/TRPfikfYyE Bs9nqhItbI6acj/PO07n6gcXDJMN2MfYlAuuwYNHOOt/t1Bw1ISCLcmbOFE4IPdymoAtDSh1Lm2q zMoEC7m694Vw6aOHMx3jGvlPicv04uEeV/csYpbo9NRdyWQZserr8FzJ4bGDk91tnqLeTxPwfCaU RhNWGEiyp70pN+WcEkTf7A7tZqEMoAFrLB3gU+76I7wDvCIxxC0fbF6QgmZnF0MqOVqvE17GAsux uC/0J6+uYy6Sdy61cOZMocfe9bLdvd/S02JSJSWAygZUxt0t6wGae33ntmX2v8mkYKOPxr1rROF1 Jk6C08Y60gh3VRjuVvQixcLQc96SjwUDL+NKI3UYy1BnI4pIIAgaADdM/QpZGobrPKCBLGpD1WzD IH3edG5gweUz9lnGntd7fo9Da7fHaXt/WqA/z6fYq3vHQ3SGjzEqNRj6qPf+nQ3VWA9r5I2Yh4Nm pYe24ACDP+O/3j/UcKFE72eLxmJoyaMrRqjbtO6R5eCcnywGzpmwfDleww4LXpbVBypIeh8HsxBI GI2RgY2TxUXQ84zfYNCoPIn/CzBA/Q8lzQLjj2ao6OSDRQITM6Uh1OcR/pED1VA4vmaoKRxFCxxN PWmQWBQ8L92442qwAKOwNz08X6dD3CyJCUPrNmHsKt3pAx5wF37TACznJATDcCnkCmNqmSGGkJ27 1XFHNX9dksukzJzKlZAxVC0lR5ulO70cKvkuyXHr7HR4zNsNDDv/ynuCdwU5a2Q56UHWcDxY9zTi 8LiKtDE8R/zAutlshnFqp+mx7Q9blo4NAMShA8eaVnVksqyNm6CqGawIsZm4ibrGSHl3gz4MDYUP fz3M265pA3ju8bFh3+QjPCd7Sv8oRugpB2ciwPDcS8/aWkny5dhmUQtYDYBsgiVhR32YRkQ5FOsi cyTpktDFyh2pW6iLhqqQQC+V33TPR+29SH5LnfDamv6C0SrdpTHhGJ45BZJgf/85pW8KEMsFHzyi OXlXUT40US++7f7YrgIToteBvnaHE7WTlGWKzYLZLwHcKVuNsAn6Vyx/ugq8TMC8Fmu03QqcRV5m 92pFjDQ2hwXax8ahFLy9u1slXa6uoW0uQwxSLLhxuMarKxS+iwYA6sP62p2QcV+ik3iooGjgzKLg hvDG2TD0RNAUALSxPGN9WvBhbBtKnCCnsxdLPkpeVNsntYX7OROFxsNMeCSSMJopNazW0MCDur5+ 1fYHUHk28ooDkoAAwJZZXPVNBCZmNdiEZ1OWJ2gQmP/nCgixGf94nJJ39SmM9mawvcX5P7GV1/+v xgoHqkjaDNXidLuZr+t/ZYiChYdCWnFbqg+S5D6v+swsRegUQ4pJeHf7vt3cvGJWCt6B9dD7+8e8 UOMLIiRWsLXor/Q5mNejjCGwLNTxVTLqAznafqupMmnOj5ROnGww872HWvZuRoYwjAY9E9Q7orPy YpVNTTOJEWEn2dWx69NbQDbODSKgdLrb0kNdX1/n99N7CMzLjRn6GCikqniTwkhkfoUHWT1Wki2i J1hgkJNigcwavCThbO/f3jFrCUwO3hM2Hzb1cEdtG3osJKhc7CGANw/cDhsW2Od4FhHmOhzEZ0Nj Hfw7fIWlYPALDAIoCOKaacOEYUu8rrais/cJ0B/fh5ZZRe3UvR3haS2YVcQ4zUijWc2u2+6wQd4x uvoIy+SYROJA+5Z04Jx44R5TmPSKMvrMB+dKNIbnk0Q5pmdh3vERg3PuYdmod4PbXuwwfPelsC3O Ajw0Liaqje7UMQcDH5Xt3du6f9g4jfDe9Gj0s7ItPURxm6Yc2LMPP+Q5x0bafymPpeNLfR9yEsFY 2Pk1JjIzesJefOM+dBVk9fuSS5ZddvC3QyyKBYmHpzsUiOM7pDQK78qk2x7G6bo91jREqIdDiclw IvHS71fTg9hU/GyY4TxvyzLubJPZWmQQqcwhJU+8dnV9kzV3KqiWd6V6PSjKwlAhhF3SaIGoib9l k40YI2BfYOejOJmNJRCFBfs7s6DDoc2PanKL17UhonJAmVKMEYw4CLNSrT21xQzF8SFZM+qAI2xQ 9+I+AdoY3JrMIZIyiADkHarGxgRNt9UreoS73a4tENZGkqQrrrpLT0QFZYcwxKEmFrF5EbeatL8c Fm37TOmYOq/vYVXDh99/L3wMA/fSXhXHNaC+yRfKHppbx/99//a23by+ae/u3rar9YqeF2oJFe97 ghQ3KFnrPUyqmAa/FaxnTADyuToBU2QuvQc7aOpHxdGDv5JCHp1aGlUd29HEQvsuYCY9lOvtqSrI nMBpyUyKOa7wxL5ffwilbbuNjBE/A7DhjZnBTg9hPqUqKAwKMBl4JmopJmNajTONKozPAgtYSpfz BagEVx0n9BgnybNn+MrdjIpwfV3OfPr9Dl+VGYuQLrw667nP1ur3eESzXWRKl7oPqj8s1RMSn8Vr m9s7GiWVLElNAmEVMbApjJHVI7Ax7tuCpFkt/h0Nu9jqeL8NKAX9sk2Ys6XBgI978D3q+QPzUhIo m9pamgbfE2E76QwhJ0MAf34DtI3hYiehxqDkVDUpuFcS5Ll7pVF7f4Cxmrc71OJ+Ao2Ba+MsMzc8 8v6LGcLPFAJ6aWlD+Dhe16ce8+/+4z/aq5ub9tVXX7V/+7f/1v71X/+1/eXPP7Rvf/tN+9Mf/8iF /U/f/qZ9//3/bZvttv3i66/5wR9++IGfefPmzWhx+KiYkUXZKG1cSkiccdQksEKnB9ya3nVC+rsj u2RjFWRPNTMdG8/aassfkoGJVuOltZQLvEf3Y+w+DJJT+WaEZ/Yza/hEWoTBIa41n7X37+5i4cJz 6GoVozA6NwXv4AiHVqF8qZZd+B1gSV8gF2YI3cm6qXeXVGFYF9tzlYEXofAvSRm7D2J/jsqerq9W qYkO4wSvC8kFGCF4fjA4q7WybTKsehYsfbkSX+rubkM2PzTV6wDD61IxfW/93tnx3XtSi/tex6fh cIszwQ1unEoFiBlgDxkhPjd6AxFSl76bSnTUpISx1W4G7sGgxi7YTKW1nw7T9tfjom0Bsn+isbok E3P6AHb1IBDfGRovdihR1b74Mf/DH/7Qfv7zn7XXb9607//yPR/c93/5c/vmn79u/+MP/514wa9/ 84v23Xff8QHfXF+3t2/ftu/+47v2+9//vn0Fg1XKH+57WQHuBkcJOxxeg0ieVTBxDpVEeOGY2NZJ nOeM7Yp55W5n1vkDmJV5Y53wqnebxcy1nkRI7eSWOOlZN/1TFUU5GcinCs0tcpKixg9Y1lIdsRHm jLN3UipwKyovIhg5crHYpANMdmW4dLmWHw4U1iVFDl9KrWQfKZ9PRWTJK3PSw2EjDde0Xd+86mU4 LGEBvtPaaqkSlsVqyuwdsCko4cDQmIEuhrtLbvoiSXXQQcXXwPdg5GC44BG5WNkG19fqe+jebQ/H Or3CYL0fat+ovJllTom1i12NwhlVZZdd1uQ5YnFv9yEYJ5eUMcQPk3YcgFdN2l+Oi7YjxPLpq/kc WB8eMToXvatiXF6S9Hnv7r6Q8fp/fenXC1WzlO8AAAAASUVORK5CYII=