<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240525</CreaDate>
<CreaTime>12405200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20230928" Time="212158" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField DUKCAPIL_2022_SEM1.DBO.kabkot_sem1_2023 Total [jumlah_penduduk] VB #</Process>
<Process Date="20230928" Time="214514" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField DUKCAPIL_2022_SEM1.DBO.kabkot_sem1_2023 F [wanita] VB #</Process>
<Process Date="20230928" Time="214544" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\CalculateField">CalculateField DUKCAPIL_2022_SEM1.DBO.kabkot_sem1_2023 M [pria] VB #</Process>
<Process Date="20241004" Time="141529" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures DUKCAPIL2023.DBO.kabkot_sem2_2023 C:\Users\wicaksono_unfpa\Documents\ArcGIS\Projects\MyProject\MyProject.gdb\DUKCAPIL2024_kabkot_sem1_2024 # NOT_USE_ALIAS "kode_prop_spatial "kode_prop_spatial" true true false 4 Long 0 10,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,DUKCAPIL2023.DBO.kabkot_sem2_2023.kode_prop_spatial,-1,-1;kode_kab_spatial "kode_kab_spatial" true true false 4 Long 0 10,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,DUKCAPIL2023.DBO.kabkot_sem2_2023.kode_kab_spatial,-1,-1;nama_prop_1 "nama_prop" true true false 1073741822 Text 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,DUKCAPIL2023.DBO.kabkot_sem2_2023.nama_prop_1,0,1073741822;nama_kab_1 "nama_kab" true true false 1073741822 Text 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,DUKCAPIL2023.DBO.kabkot_sem2_2023.nama_kab_1,0,1073741822;KODE "KODE" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.KODE,-1,-1;WILAYAH "WILAYAH" true true false 255 Text 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.WILAYAH,0,255;TOTAL "TOTAL" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.TOTAL,-1,-1;L "L" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.L,-1,-1;P "P" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.P,-1,-1;F00_04 "00_04" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F00_04,-1,-1;F05_09 "05_09" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F05_09,-1,-1;F10_14 "10_14" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F10_14,-1,-1;F15_19 "15_19" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F15_19,-1,-1;F20_24 "20_24" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F20_24,-1,-1;F25_29 "25_29" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F25_29,-1,-1;F30_34 "30_34" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F30_34,-1,-1;F35_39 "35_39" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F35_39,-1,-1;F40_44 "40_44" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F40_44,-1,-1;F45_49 "45_49" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F45_49,-1,-1;F50_54 "50_54" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F50_54,-1,-1;F55_59 "55_59" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F55_59,-1,-1;F60_64 "60_64" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F60_64,-1,-1;F65_69 "65_69" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F65_69,-1,-1;F70_74 "70_74" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F70_74,-1,-1;F75_ "75_" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.F75_,-1,-1;KODE1 "KODE1" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.KODE1,-1,-1;WILAYAH1 "WILAYAH1" true true false 255 Text 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.WILAYAH1,0,255;DIS_FISIK "DIS_FISIK" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.DIS_FISIK,-1,-1;DIS_NETRA_BUTA "DIS_NETRA_BUTA" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.DIS_NETRA_BUTA,-1,-1;DIS_RUNGU_WICARA "DIS_RUNGU_WICARA" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.DIS_RUNGU_WICARA,-1,-1;DIS_MENTAL_JIWA "DIS_MENTAL_JIWA" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.DIS_MENTAL_JIWA,-1,-1;DIS_FISIK_MENTAL "DIS_FISIK_MENTAL" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.DIS_FISIK_MENTAL,-1,-1;DIS_LAINNYA "DIS_LAINNYA" true true false 8 Double 0 0,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.DIS_LAINNYA,-1,-1;ObjectID "ObjectID" false true false 4 Long 0 9,First,#,DUKCAPIL2023.DBO.kabkot_sem2_2023,Sem1_2024_Kab$.ObjectID,-1,-1" #</Process>
<Process Date="20241009" Time="090631" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures DUKCAPIL2024_kabkot_sem1_2024 D:\GISDATA\Dukcapil_Rest\Dukcapil2024_KAB_Fix.shp # NOT_USE_ALIAS "kode_prop_spatial "kode_prop_spatial" true true false 4 Long 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.kode_prop_spatial,-1,-1;kode_kab_spatial "kode_kab_spatial" true true false 4 Long 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.kode_kab_spatial,-1,-1;nama_prop_1 "nama_prop" true true false 1073741822 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.nama_prop_1,0,1073741822;nama_kab_1 "nama_kab" true true false 1073741822 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.nama_kab_1,0,1073741822;KODE "KODE" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.KODE,-1,-1;WILAYAH "WILAYAH" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.WILAYAH,0,255;TOTAL "TOTAL" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.TOTAL,-1,-1;L "L" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.L,-1,-1;P "P" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.P,-1,-1;F00_04 "00_04" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F00_04,-1,-1;F05_09 "05_09" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F05_09,-1,-1;F10_14 "10_14" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F10_14,-1,-1;F15_19 "15_19" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F15_19,-1,-1;F20_24 "20_24" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F20_24,-1,-1;F25_29 "25_29" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F25_29,-1,-1;F30_34 "30_34" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F30_34,-1,-1;F35_39 "35_39" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F35_39,-1,-1;F40_44 "40_44" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F40_44,-1,-1;F45_49 "45_49" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F45_49,-1,-1;F50_54 "50_54" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F50_54,-1,-1;F55_59 "55_59" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F55_59,-1,-1;F60_64 "60_64" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F60_64,-1,-1;F65_69 "65_69" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F65_69,-1,-1;F70_74 "70_74" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F70_74,-1,-1;F75_ "75_" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.F75_,-1,-1;KODE1 "KODE1" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.KODE1,-1,-1;WILAYAH1 "WILAYAH1" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.WILAYAH1,0,255;DIS_FISIK "DIS_FISIK" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.DIS_FISIK,-1,-1;DIS_NETRA_BUTA "DIS_NETRA_BUTA" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.DIS_NETRA_BUTA,-1,-1;DIS_RUNGU_WICARA "DIS_RUNGU_WICARA" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.DIS_RUNGU_WICARA,-1,-1;DIS_MENTAL_JIWA "DIS_MENTAL_JIWA" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.DIS_MENTAL_JIWA,-1,-1;DIS_FISIK_MENTAL "DIS_FISIK_MENTAL" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.DIS_FISIK_MENTAL,-1,-1;DIS_LAINNYA "DIS_LAINNYA" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.DIS_LAINNYA,-1,-1;ObjectID "ObjectID" true true false 4 Long 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.ObjectID,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,DUKCAPIL2024_kabkot_sem1_2024.Shape_Area,-1,-1;objectid "objectid" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.objectid,-1,-1;no_prop "no_prop" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.no_prop,-1,-1;no_kab "no_kab" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.no_kab,-1,-1;kode_prop_spatial "kode_prop_spatial" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.kode_prop_spatial,-1,-1;kode_kab_spatial "kode_kab_spatial" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.kode_kab_spatial,-1,-1;jumlah_desa "jumlah_desa" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.jumlah_desa,-1,-1;jumlah_kelurahan "jumlah_kelurahan" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.jumlah_kelurahan,-1,-1;nama_prop "nama_prop" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.nama_prop,0,255;nama_kab "nama_kab" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.nama_kab,0,255;jumlah_kecamatan "jumlah_kecamatan" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.jumlah_kecamatan,-1,-1;jumlah_penduduk "jumlah_penduduk" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.jumlah_penduduk,-1,-1;jumlah_kk "jumlah_kk" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.jumlah_kk,-1,-1;luas_wilayah "luas_wilayah" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.luas_wilayah,-1,-1;kepadatan_penduduk "kepadatan_penduduk" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.kepadatan_penduduk,-1,-1;perpindahan_pddk "perpindahan_pddk" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.perpindahan_pddk,-1,-1;jml_meninggal "jml_meninggal" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.jml_meninggal,-1,-1;perubahan_data "perubahan_data" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.perubahan_data,-1,-1;jml_wktp "jml_wktp" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.jml_wktp,-1,-1;jml_rekam_wktp "jml_rekam_wktp" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.jml_rekam_wktp,-1,-1;field1 "field1" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field1,0,255;field2 "field2" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field2,0,255;islam "islam" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.islam,-1,-1;kristen "kristen" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.kristen,-1,-1;katholik "katholik" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.katholik,-1,-1;hindu "hindu" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.hindu,-1,-1;budha "budha" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.budha,-1,-1;konghucu "konghucu" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.konghucu,-1,-1;kepercayaan "kepercayaan" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.kepercayaan,-1,-1;field3 "field3" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field3,0,255;field4 "field4" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field4,0,255;pria "pria" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.pria,-1,-1;wanita "wanita" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.wanita,-1,-1;field5 "field5" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field5,0,255;field6 "field6" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field6,0,255;belum_kawin "belum_kawin" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.belum_kawin,-1,-1;kawin "kawin" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.kawin,-1,-1;cerai_hidup "cerai_hidup" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.cerai_hidup,-1,-1;cerai_mati "cerai_mati" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.cerai_mati,-1,-1;field7 "field7" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field7,0,255;field8 "field8" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field8,0,255;u0 "u0" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u0,-1,-1;u5 "u5" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u5,-1,-1;u10 "u10" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u10,-1,-1;u15 "u15" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u15,-1,-1;u20 "u20" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u20,-1,-1;u25 "u25" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u25,-1,-1;u30 "u30" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u30,-1,-1;u35 "u35" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u35,-1,-1;u40 "u40" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u40,-1,-1;u45 "u45" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u45,-1,-1;u50 "u50" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u50,-1,-1;u55 "u55" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u55,-1,-1;u60 "u60" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u60,-1,-1;u65 "u65" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u65,-1,-1;u70 "u70" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u70,-1,-1;u75 "u75" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.u75,-1,-1;field9 "field9" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field9,0,255;field10 "field10" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field10,0,255;lhr_2018 "lhr_2018" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.lhr_2018,-1,-1;lhr_sebelum_2018 "lhr_sebelum_2018" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.lhr_sebelum_2018,-1,-1;lhr_2019 "lhr_2019" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.lhr_2019,-1,-1;lhr_sebelum_2019 "lhr_sebelum_2019" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.lhr_sebelum_2019,-1,-1;lhr_2020 "lhr_2020" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.lhr_2020,-1,-1;lhr_sebelum_2020 "lhr_sebelum_2020" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.lhr_sebelum_2020,-1,-1;lhr_2021 "lhr_2021" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.lhr_2021,-1,-1;lhr_sebelum_2021 "lhr_sebelum_2021" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.lhr_sebelum_2021,-1,-1;lhr_2022 "lhr_2022" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.lhr_2022,-1,-1;lhr_sebelum_2022 "lhr_sebelum_2022" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.lhr_sebelum_2022,-1,-1;pertumbuhan_2018 "pertumbuhan_2018" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.pertumbuhan_2018,-1,-1;pertumbuhan_2019 "pertumbuhan_2019" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.pertumbuhan_2019,-1,-1;pertumbuhan_2020 "pertumbuhan_2020" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.pertumbuhan_2020,-1,-1;pertumbuhan_2021 "pertumbuhan_2021" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.pertumbuhan_2021,-1,-1;pertumbuhan_2022 "pertumbuhan_2022" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.pertumbuhan_2022,-1,-1;field11 "field11" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field11,0,255;field12 "field12" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field12,0,255;usia_sekolah5_6 "usia_sekolah5_6" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.usia_sekolah5_6,-1,-1;usia_sekolah7_12 "usia_sekolah7_12" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.usia_sekolah7_12,-1,-1;usia_sekolah12_15 "usia_sekolah12_15" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.usia_sekolah12_15,-1,-1;usia_sekolah16_18 "usia_sekolah16_18" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.usia_sekolah16_18,-1,-1;field13 "field13" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field13,0,255;field14 "field14" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field14,0,255;tidak_blm_sekolah "tidak_blm_sekolah" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.tidak_blm_sekolah,-1,-1;belum_tamat_sd "belum_tamat_sd" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.belum_tamat_sd,-1,-1;tamat_sd "tamat_sd" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.tamat_sd,-1,-1;sltp "sltp" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.sltp,-1,-1;slta "slta" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.slta,-1,-1;d1_dan_d2 "d1_dan_d2" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.d1_dan_d2,-1,-1;d3 "d3" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.d3,-1,-1;s1 "s1" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.s1,-1,-1;s2 "s2" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.s2,-1,-1;s3 "s3" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.s3,-1,-1;field15 "field15" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field15,0,255;field16 "field16" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field16,0,255;o "o" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.o,-1,-1;b_ "b_" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.b_,-1,-1;b1 "b1" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.b1,-1,-1;o_ "o_" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.o_,-1,-1;ab_ "ab_" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.ab_,-1,-1;a "a" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.a,-1,-1;tidak_tahu "tidak_tahu" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.tidak_tahu,-1,-1;ab1 "ab1" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.ab1,-1,-1;a_ "a_" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.a_,-1,-1;a1 "a1" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.a1,-1,-1;o1 "o1" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.o1,-1,-1;b "b" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.b,-1,-1;ab "ab" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.ab,-1,-1;field17 "field17" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field17,0,255;field18 "field18" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field18,0,255;pensiunan "pensiunan" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.pensiunan,-1,-1;mengurus_rumah_tangga "mengurus_rumah_tangga" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.mengurus_rumah_tangga,-1,-1;belum_tidak_bekerja "belum_tidak_bekerja" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.belum_tidak_bekerja,-1,-1;lainnya "lainnya" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.lainnya,-1,-1;perdagangan "perdagangan" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.perdagangan,-1,-1;perawat "perawat" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.perawat,-1,-1;nelayan "nelayan" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.nelayan,-1,-1;pelajar_mahasiswa "pelajar_mahasiswa" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.pelajar_mahasiswa,-1,-1;guru "guru" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.guru,-1,-1;wiraswasta "wiraswasta" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.wiraswasta,-1,-1;pengacara "pengacara" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.pengacara,-1,-1;field19 "field19" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field19,0,255;field20 "field20" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.field20,0,255;st_area_shape_ "st_area(shape)" true true false 255 Text 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.st_area_shape_,0,255;st_length_shape_ "st_length(shape)" true true false 8 Double 0 0,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.st_length_shape_,-1,-1;ObjectID_1 "ObjectID_1" false true false 4 Long 0 9,First,#,DUKCAPIL2024_kabkot_sem1_2024,Kab_Fix$.ObjectID_1,-1,-1" #</Process>
<Process Date="20241009" Time="091424" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures Dukcapil2024_KAB_Fix D:\GISDATA\Dukcapil_Rest\Dukcapil_KAB_Sem1_2024.shp # NOT_USE_ALIAS "kode_prop_ "kode_prop_" true true false 10 Long 0 10,First,#,Dukcapil2024_KAB_Fix,kode_prop_,-1,-1;kode_kab_s "kode_kab_s" true true false 10 Long 0 10,First,#,Dukcapil2024_KAB_Fix,kode_kab_s,-1,-1;nama_prop_ "nama_prop_" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,nama_prop_,0,254;nama_kab_1 "nama_kab_1" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,nama_kab_1,0,254;KODE "KODE" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,KODE,-1,-1;WILAYAH "WILAYAH" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,WILAYAH,0,254;TOTAL "TOTAL" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,TOTAL,-1,-1;L "L" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,L,-1,-1;P "P" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,P,-1,-1;F00_04 "F00_04" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F00_04,-1,-1;F05_09 "F05_09" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F05_09,-1,-1;F10_14 "F10_14" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F10_14,-1,-1;F15_19 "F15_19" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F15_19,-1,-1;F20_24 "F20_24" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F20_24,-1,-1;F25_29 "F25_29" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F25_29,-1,-1;F30_34 "F30_34" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F30_34,-1,-1;F35_39 "F35_39" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F35_39,-1,-1;F40_44 "F40_44" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F40_44,-1,-1;F45_49 "F45_49" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F45_49,-1,-1;F50_54 "F50_54" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F50_54,-1,-1;F55_59 "F55_59" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F55_59,-1,-1;F60_64 "F60_64" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F60_64,-1,-1;F65_69 "F65_69" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F65_69,-1,-1;F70_74 "F70_74" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F70_74,-1,-1;F75_ "F75_" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,F75_,-1,-1;KODE1 "KODE1" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,KODE1,-1,-1;WILAYAH1 "WILAYAH1" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,WILAYAH1,0,254;DIS_FISIK "DIS_FISIK" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,DIS_FISIK,-1,-1;DIS_NETRA_ "DIS_NETRA_" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,DIS_NETRA_,-1,-1;DIS_RUNGU_ "DIS_RUNGU_" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,DIS_RUNGU_,-1,-1;DIS_MENTAL "DIS_MENTAL" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,DIS_MENTAL,-1,-1;DIS_FISIK_ "DIS_FISIK_" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,DIS_FISIK_,-1,-1;DIS_LAINNY "DIS_LAINNY" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,DIS_LAINNY,-1,-1;ObjectID "ObjectID" true true false 10 Long 0 10,First,#,Dukcapil2024_KAB_Fix,ObjectID,-1,-1;Shape_Leng "Shape_Leng" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,Shape_Area,-1,-1;objectid_1 "objectid_1" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,objectid_1,-1,-1;no_prop "no_prop" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,no_prop,-1,-1;no_kab "no_kab" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,no_kab,-1,-1;kode_prop1 "kode_prop1" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,kode_prop1,-1,-1;kode_kab_1 "kode_kab_1" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,kode_kab_1,-1,-1;jumlah_des "jumlah_des" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,jumlah_des,-1,-1;jumlah_kel "jumlah_kel" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,jumlah_kel,-1,-1;nama_prop "nama_prop" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,nama_prop,0,254;nama_kab "nama_kab" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,nama_kab,0,254;jumlah_kec "jumlah_kec" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,jumlah_kec,-1,-1;jumlah_pen "jumlah_pen" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,jumlah_pen,-1,-1;jumlah_kk "jumlah_kk" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,jumlah_kk,-1,-1;luas_wilay "luas_wilay" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,luas_wilay,-1,-1;kepadatan_ "kepadatan_" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,kepadatan_,-1,-1;perpindaha "perpindaha" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,perpindaha,-1,-1;jml_mening "jml_mening" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,jml_mening,-1,-1;perubahan_ "perubahan_" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,perubahan_,-1,-1;jml_wktp "jml_wktp" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,jml_wktp,-1,-1;jml_rekam_ "jml_rekam_" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,jml_rekam_,-1,-1;field1 "field1" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field1,0,254;field2 "field2" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field2,0,254;islam "islam" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,islam,-1,-1;kristen "kristen" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,kristen,-1,-1;katholik "katholik" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,katholik,-1,-1;hindu "hindu" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,hindu,-1,-1;budha "budha" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,budha,-1,-1;konghucu "konghucu" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,konghucu,-1,-1;kepercayaa "kepercayaa" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,kepercayaa,-1,-1;field3 "field3" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field3,0,254;field4 "field4" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field4,0,254;pria "pria" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,pria,-1,-1;wanita "wanita" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,wanita,-1,-1;field5 "field5" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field5,0,254;field6 "field6" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field6,0,254;belum_kawi "belum_kawi" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,belum_kawi,-1,-1;kawin "kawin" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,kawin,-1,-1;cerai_hidu "cerai_hidu" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,cerai_hidu,-1,-1;cerai_mati "cerai_mati" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,cerai_mati,-1,-1;field7 "field7" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field7,0,254;field8 "field8" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field8,0,254;u0 "u0" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u0,-1,-1;u5 "u5" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u5,-1,-1;u10 "u10" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u10,-1,-1;u15 "u15" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u15,-1,-1;u20 "u20" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u20,-1,-1;u25 "u25" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u25,-1,-1;u30 "u30" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u30,-1,-1;u35 "u35" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u35,-1,-1;u40 "u40" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u40,-1,-1;u45 "u45" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u45,-1,-1;u50 "u50" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u50,-1,-1;u55 "u55" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u55,-1,-1;u60 "u60" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u60,-1,-1;u65 "u65" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u65,-1,-1;u70 "u70" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u70,-1,-1;u75 "u75" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,u75,-1,-1;field9 "field9" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field9,0,254;field10 "field10" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field10,0,254;lhr_2018 "lhr_2018" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,lhr_2018,-1,-1;lhr_sebelu "lhr_sebelu" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,lhr_sebelu,-1,-1;lhr_2019 "lhr_2019" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,lhr_2019,-1,-1;lhr_sebe_1 "lhr_sebe_1" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,lhr_sebe_1,-1,-1;lhr_2020 "lhr_2020" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,lhr_2020,-1,-1;lhr_sebe_2 "lhr_sebe_2" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,lhr_sebe_2,-1,-1;lhr_2021 "lhr_2021" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,lhr_2021,-1,-1;lhr_sebe_3 "lhr_sebe_3" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,lhr_sebe_3,-1,-1;lhr_2022 "lhr_2022" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,lhr_2022,-1,-1;lhr_sebe_4 "lhr_sebe_4" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,lhr_sebe_4,-1,-1;pertumbuha "pertumbuha" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,pertumbuha,-1,-1;pertumbu_1 "pertumbu_1" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,pertumbu_1,-1,-1;pertumbu_2 "pertumbu_2" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,pertumbu_2,-1,-1;pertumbu_3 "pertumbu_3" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,pertumbu_3,-1,-1;pertumbu_4 "pertumbu_4" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,pertumbu_4,-1,-1;field11 "field11" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field11,0,254;field12 "field12" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field12,0,254;usia_sekol "usia_sekol" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,usia_sekol,-1,-1;usia_sek_1 "usia_sek_1" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,usia_sek_1,-1,-1;usia_sek_2 "usia_sek_2" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,usia_sek_2,-1,-1;usia_sek_3 "usia_sek_3" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,usia_sek_3,-1,-1;field13 "field13" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field13,0,254;field14 "field14" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field14,0,254;tidak_blm_ "tidak_blm_" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,tidak_blm_,-1,-1;belum_tama "belum_tama" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,belum_tama,-1,-1;tamat_sd "tamat_sd" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,tamat_sd,-1,-1;sltp "sltp" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,sltp,-1,-1;slta "slta" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,slta,-1,-1;d1_dan_d2 "d1_dan_d2" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,d1_dan_d2,-1,-1;d3 "d3" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,d3,-1,-1;s1 "s1" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,s1,-1,-1;s2 "s2" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,s2,-1,-1;s3 "s3" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,s3,-1,-1;field15 "field15" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field15,0,254;field16 "field16" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field16,0,254;o "o" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,o,-1,-1;b_ "b_" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,b_,-1,-1;b1 "b1" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,b1,-1,-1;o_ "o_" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,o_,-1,-1;ab_ "ab_" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,ab_,-1,-1;a "a" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,a,-1,-1;tidak_tahu "tidak_tahu" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,tidak_tahu,-1,-1;ab1 "ab1" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,ab1,-1,-1;a_ "a_" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,a_,-1,-1;a1 "a1" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,a1,-1,-1;o1 "o1" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,o1,-1,-1;b "b" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,b,-1,-1;ab "ab" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,ab,-1,-1;field17 "field17" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field17,0,254;field18 "field18" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field18,0,254;pensiunan "pensiunan" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,pensiunan,-1,-1;mengurus_r "mengurus_r" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,mengurus_r,-1,-1;belum_tida "belum_tida" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,belum_tida,-1,-1;lainnya "lainnya" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,lainnya,-1,-1;perdaganga "perdaganga" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,perdaganga,-1,-1;perawat "perawat" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,perawat,-1,-1;nelayan "nelayan" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,nelayan,-1,-1;pelajar_ma "pelajar_ma" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,pelajar_ma,-1,-1;guru "guru" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,guru,-1,-1;wiraswasta "wiraswasta" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,wiraswasta,-1,-1;pengacara "pengacara" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,pengacara,-1,-1;field19 "field19" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field19,0,254;field20 "field20" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,field20,0,254;st_area_sh "st_area_sh" true true false 254 Text 0 0,First,#,Dukcapil2024_KAB_Fix,st_area_sh,0,254;st_length_ "st_length_" true true false 19 Double 0 0,First,#,Dukcapil2024_KAB_Fix,st_length_,-1,-1;ObjectID_2 "ObjectID_2" true true false 9 Long 0 9,First,#,Dukcapil2024_KAB_Fix,ObjectID_2,-1,-1" #</Process>
<Process Date="20241009" Time="094848" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField">DeleteField Dukcapil_KAB_Sem1_2024 KODE;WILAYAH;KODE1;WILAYAH1;ObjectID;Shape_Leng;Shape_Area;objectid_1;no_prop;no_kab;kode_prop1;kode_kab_1;nama_prop;nama_kab;st_area_sh;st_length_;ObjectID_2 "Delete Fields"</Process>
<Process Date="20241223" Time="085651" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures Dukcapil_KAB_Sem1_2024 "C:\Users\BNPB-PDSI\Documents\titip\Disaster Briefing\DATA SHP UTAMA\KABKOT_INDO.shp" # NOT_USE_ALIAS "kode_prop_ "kode_prop_" true true false 10 Long 0 10,First,#,Dukcapil_KAB_Sem1_2024,Dukcapil_KAB_Sem1_2024.kode_prop_,-1,-1;kode_kab_s "kode_kab_s" true true false 10 Long 0 10,First,#,Dukcapil_KAB_Sem1_2024,Dukcapil_KAB_Sem1_2024.kode_kab_s,-1,-1;nama_prop_ "nama_prop_" true true false 254 Text 0 0,First,#,Dukcapil_KAB_Sem1_2024,Dukcapil_KAB_Sem1_2024.nama_prop_,0,253;nama_kab_1 "nama_kab_1" true true false 254 Text 0 0,First,#,Dukcapil_KAB_Sem1_2024,Dukcapil_KAB_Sem1_2024.nama_kab_1,0,253;Prov "Prov" true true false 8000 Text 0 0,First,#,Dukcapil_KAB_Sem1_2024,Excel_Join_W2-12.csv.Prov,0,7999;Kabkot "Kabkot" true true false 8000 Text 0 0,First,#,Dukcapil_KAB_Sem1_2024,Excel_Join_W2-12.csv.Kabkot,0,7999;KodeKab "KodeKab" true true false 4 Long 0 0,First,#,Dukcapil_KAB_Sem1_2024,Excel_Join_W2-12.csv.KodeKab,-1,-1;tgl "tgl" true true false 4 Long 0 0,First,#,Dukcapil_KAB_Sem1_2024,Excel_Join_W2-12.csv.tgl,-1,-1;bln "bln" true true false 4 Long 0 0,First,#,Dukcapil_KAB_Sem1_2024,Excel_Join_W2-12.csv.bln,-1,-1;Jenis "Jenis" true true false 8000 Text 0 0,First,#,Dukcapil_KAB_Sem1_2024,Excel_Join_W2-12.csv.Jenis,0,7999;No_urut "No_urut" true true false 4 Long 0 0,First,#,Dukcapil_KAB_Sem1_2024,Excel_Join_W2-12.csv.No_urut,-1,-1;Pulau "Pulau" true true false 8000 Text 0 0,First,#,Dukcapil_KAB_Sem1_2024,Excel_Join_W2-12.csv.Pulau,0,7999" #</Process>
<Process Date="20241223" Time="085736" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField">DeleteField KABKOT_INDO Kabkot;KodeKab;tgl;bln;Jenis;No_urut;Pulau DELETE_FIELDS</Process>
<Process Date="20250318" Time="200216" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures KABKOT_INDO "C:\Users\BNPB-PDSI\Documents\titip\Peta Mudik 2025\Peta_Mudik_2025\Peta_Mudik_2025.gdb\Jumlah_Bencana_kabkot" # NOT_USE_ALIAS "kode_prop_ "kode_prop_" true true false 10 Long 0 10,First,#,KABKOT_INDO,KABKOT_INDO.kode_prop_,-1,-1;kode_kab_s "kode_kab_s" true true false 10 Long 0 10,First,#,KABKOT_INDO,KABKOT_INDO.kode_kab_s,-1,-1;nama_prop_ "nama_prop_" true true false 254 Text 0 0,First,#,KABKOT_INDO,KABKOT_INDO.nama_prop_,0,253;nama_kab_1 "nama_kab_1" true true false 254 Text 0 0,First,#,KABKOT_INDO,KABKOT_INDO.nama_kab_1,0,253;Prov "Prov" true true false 254 Text 0 0,First,#,KABKOT_INDO,KABKOT_INDO.Prov,0,253;Kode Kab "Kode Kab" true true false 4 Long 0 0,First,#,KABKOT_INDO,Jumlah kejadian bencana 20-25.csv.Kode Kab,-1,-1;Kabupaten/Kota "Kabupaten/Kota" true true false 8000 Text 0 0,First,#,KABKOT_INDO,Jumlah kejadian bencana 20-25.csv.Kabupaten/Kota,0,7999;BANJIR "BANJIR" true true false 4 Long 0 0,First,#,KABKOT_INDO,Jumlah kejadian bencana 20-25.csv.BANJIR,-1,-1;CUACA EKSTREM "CUACA EKSTREM" true true false 4 Long 0 0,First,#,KABKOT_INDO,Jumlah kejadian bencana 20-25.csv.CUACA EKSTREM,-1,-1;TANAH LONGSOR "TANAH LONGSOR" true true false 4 Long 0 0,First,#,KABKOT_INDO,Jumlah kejadian bencana 20-25.csv.TANAH LONGSOR,-1,-1;Jml_hdro "Jml_hdro" true true false 4 Long 0 0,First,#,KABKOT_INDO,Jumlah kejadian bencana 20-25.csv.Jml_hdro,-1,-1;Field7 "Field7" true true false 8000 Text 0 0,First,#,KABKOT_INDO,Jumlah kejadian bencana 20-25.csv.Field7,0,7999;Field8 "Field8" true true false 8000 Text 0 0,First,#,KABKOT_INDO,Jumlah kejadian bencana 20-25.csv.Field8,0,7999;Field9 "Field9" true true false 8000 Text 0 0,First,#,KABKOT_INDO,Jumlah kejadian bencana 20-25.csv.Field9,0,7999" #</Process>
<Process Date="20250319" Time="052707" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField">DeleteField Jumlah_Bencana_kabkot Field9 DELETE_FIELDS</Process>
<Process Date="20250319" Time="052716" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField">DeleteField Jumlah_Bencana_kabkot Field8 DELETE_FIELDS</Process>
<Process Date="20250319" Time="052726" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DeleteField">DeleteField Jumlah_Bencana_kabkot Field7 DELETE_FIELDS</Process>
<Process Date="20250319" Time="100740" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "CIMDATA=&lt;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/3.4.0'&gt;&lt;WorkspaceConnectionString&gt;DATABASE=C:\Users\BNPB-PDSI\Documents\titip\Peta Mudik 2025\Peta_Mudik_2025\Peta_Mudik_2025.gdb&lt;/WorkspaceConnectionString&gt;&lt;WorkspaceFactory&gt;FileGDB&lt;/WorkspaceFactory&gt;&lt;Dataset&gt;Jumlah_Bencana_kabkot&lt;/Dataset&gt;&lt;DatasetType&gt;esriDTFeatureClass&lt;/DatasetType&gt;&lt;/CIMStandardDataConnection&gt;" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Kelas&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;field_is_nullable&gt;True&lt;/field_is_nullable&gt;&lt;field_is_required&gt;False&lt;/field_is_required&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20250319" Time="100920" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Jumlah_Bencana_kabkot Kelas "Rendah" PYTHON3 # TEXT NO_ENFORCE_DOMAINS</Process>
<Process Date="20250319" Time="101144" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CalculateField">CalculateField Jumlah_Bencana_kabkot Kelas "Sedang" PYTHON3 # TEXT NO_ENFORCE_DOMAINS</Process>
</lineage>
<itemProps>
<itemName Sync="TRUE">Jumlah_Bencana_kabkot</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">file://\\LAPTOP-LMQK0O6I\Users\BNPB-PDSI\Documents\titip\Peta Mudik 2025\Peta_Mudik_2025\Peta_Mudik_2025.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
<itemSize Sync="TRUE">0.000</itemSize>
</itemProps>
<coordRef>
<type Sync="TRUE">Geographic</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Angular Unit: Degree (0.017453)</csUnits>
<peXml Sync="TRUE">&lt;GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/3.4.0'&gt;&lt;WKT&gt;GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433],AUTHORITY[&amp;quot;EPSG&amp;quot;,4326]]&lt;/WKT&gt;&lt;XOrigin&gt;-400&lt;/XOrigin&gt;&lt;YOrigin&gt;-400&lt;/YOrigin&gt;&lt;XYScale&gt;1111948722.2222221&lt;/XYScale&gt;&lt;ZOrigin&gt;-324877.906816&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;8.983152841195215e-09&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;LeftLongitude&gt;-180&lt;/LeftLongitude&gt;&lt;WKID&gt;4326&lt;/WKID&gt;&lt;LatestWKID&gt;4326&lt;/LatestWKID&gt;&lt;/GeographicCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20250318</SyncDate>
<SyncTime>20021200</SyncTime>
<ModDate>20250318</ModDate>
<ModTime>20021200</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 26100) ; Esri ArcGIS 13.4.0.55405</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="IDN"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Jumlah_Bencana_kabkot_2025</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs/>
<searchKeys>
<keyword>mudik</keyword>
<keyword>2025</keyword>
</searchKeys>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng"/>
<countryCode Sync="TRUE" value="IDN"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.000</transSize>
</distTranOps>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="4326"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.2(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Jumlah_Bencana_kabkot">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="Jumlah_Bencana_kabkot">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">TRUE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="Jumlah_Bencana_kabkot">
<enttyp>
<enttypl Sync="TRUE">Jumlah_Bencana_kabkot</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">OBJECTID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">kode_prop_</attrlabl>
<attalias Sync="TRUE">kode_prop_</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">kode_kab_s</attrlabl>
<attalias Sync="TRUE">kode_kab_s</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">nama_prop_</attrlabl>
<attalias Sync="TRUE">nama_prop_</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">nama_kab_1</attrlabl>
<attalias Sync="TRUE">nama_kab_1</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Prov</attrlabl>
<attalias Sync="TRUE">Prov</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Kode_Kab</attrlabl>
<attalias Sync="TRUE">Kode Kab</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Kabupaten_Kota</attrlabl>
<attalias Sync="TRUE">Kabupaten/Kota</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">8000</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">BANJIR</attrlabl>
<attalias Sync="TRUE">BANJIR</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">CUACA_EKSTREM</attrlabl>
<attalias Sync="TRUE">CUACA EKSTREM</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">TANAH_LONGSOR</attrlabl>
<attalias Sync="TRUE">TANAH LONGSOR</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Jml_hdro</attrlabl>
<attalias Sync="TRUE">Jml_hdro</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Field7</attrlabl>
<attalias Sync="TRUE">Field7</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">8000</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Field8</attrlabl>
<attalias Sync="TRUE">Field8</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">8000</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Field9</attrlabl>
<attalias Sync="TRUE">Field9</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">8000</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Length</attrlabl>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Area</attrlabl>
<attalias Sync="TRUE">Shape_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20250318</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO
xAAADsQBlSsOGwAAIABJREFUeJzsvVmMZFlyJWa+hC+x75mRe2ZlZe1d1dXsrYpks0liRqRIigMO
AW3ACJIwwPwLgr71oS/96UPinzQQBhhpIICaEcUBCbJnptnNVrO3qu6q6tqrcl8iY49w9/BFOHbt
3Gfv+vNYMiOrWaJulldEuD9/y13smh07ZlZ9sLo6GMhAOu22oDXHx/VnpVKRSrkiUhIZDAbS7/el
VCpJuVyWQX8g/UFff8erWq2G9+04vLrdrh7f6/X0hd9x3NjYmP6OVsLJRaTT6cjW9pb0uj2p1WpS
b9T1O61WS48dq47p+83xpvim5xnoifR3XD/3uZ0//ijhHftD8NVwfPoezoNXuRSeSfC97JDQF5Jd
T8/L6+Newv9GtvQ+03sYesYjNNz3qHPEZx0Un5f9kN4HnrPdbsve3p5MTU3p+PE59eX6quietbfx
u7st7Tff7yNuOZ4Ttz0YSK8f5lA8d6mk96fjVC7HecB5yPFhv2A+H9Q36TPoOex6+Me+wLyu1+tx
Hh/U74eNyXHboGC+Ponr7O/v67NiPU5PT0upPOL5XJ+Nmqc4Busb44Ix0LF6jFbFzY3VxqTeaEgZ
wsEGQieDdQT+5oDrIJXC5I8D6iYPuhPHsgMp5HgOTPrwJGFB7O934gNJNUw4CIqe9KTRaOih/V5f
j8H94L1qpRo6EbeBe/GLI1mAek92r/FvChUe41cyfvVzt2AcKCiHJjn6axD6Jy4YW1D+WC/Q9Xu2
AWCD8AOqfVcJ/XGoIDpEQOL8FBCp0DhIWGK8MG64X066dHKOmqx6Zhsn92a8Hsem6By8xyJhEr/r
Nguemw0CbujzA1pufrjv+XtFH+hGXtAHo55/1GbwqK10goJpVIMMwOvQezliv0LAn1SrYkJ5zQcD
gwGBhqMXtEnudxw0alccPCzC8L4JOGhnePiSPXicmCJ92zEhLLv7+zqpx8fH4zko0aFV4RqYKJ12
RzUu3KdedxCuO7RjJ43akH6k68OECW/IFjuFSzrJeM/xd05gCEp8rx+O1fO6HZfaJvtNj7FroG91
8psGSy20V+6pMKbGyD48sA0SoeWEl19suBcdM8mEn1+cRY2bDF7ZhpR9Fn/Grizov0OEqe9/zj/2
Y3w+14e8Zk4DSrQ4Phvn6EECv+iZiwSkf+bs1ouP+//bk2uq7kB7gRCpup2DWhEaFhOOoYZE1Y7H
xMkjpTA53EL2QiUIpPCz3e5IZ7+jAqhpmhQXH66H7+MFwRbV/jB7pd1qx10gNfN8o9blFy41LG8i
0XSN92sCkxMyXTC8V94v7lM/t3XBCQ/NMC7GcNGc1gXtiRoo+hXH43zoQ5rkXmsses6o7TnzzJvC
3nSNwsMEWzTzJRvrtOG72FiazeaQOu+vE7Vxrz05rbNIq81d0wlZCPPth5vS7/ek1mxIY6KZH0/c
M4WQv23rB3xWqubH/kgt0fZUSGMe2lzBmKhFMjYWLY4ijd0/Y/r3k9KQBk/w3H+bmpqEqul0u3EX
xuKZnJyMkxSfqRAx7YsThoslt9g5CeN8CgsGggd2cWuvpVpYvd6Q2ZlZXbS6eAa2g2NilCuqRnIA
cP22AEvZl62tLdnd3VWNbGZmtlDdjIuGAscmHPE1vGCf623C5DJcTjEaaIimkXFBe9wmamu2SKl5
QBv0WogKb5w3CupsQRELitoR7gN4WdWwQtNSc5rtAZPRf96X/rAJZp/nND1sBsAWMT6VIED9MWw0
hYhT5j5LNCouXt5TOh5FY8QfPAeef31tXf70f/rfZHtrS1781V+S1377m4UY1JBm7YTecRZvan6y
H6DRY77i+XE6zEtAEqnZXtQ4n+Oa8LDEI5qJJbvPvwuCaVSr7u3uSaUaBoKTAouZuBEmNQQaOh8C
B4JsYnxC+pUwINhtiG+UKlmHxkWuI2WDXW+odgS8jAs87k56WMB/KLgU2C8ZqF8p6z3ifBOTk3ov
eNXqtfyunk5aJxRyWNxYpg3iWVWromnozLpoIkAwmxmL60YBVirps6jNT/NF0V9nZpaD8OI9RnOK
wtGEPoHl8sBpPLz/ArN01OL1AgR9yGf3Amu/u6/XJG7mx4zH87wjTaTkPo6t0RSdCyDtXkt27q7L
5vq67K5vH/n6o9471vWdtoS+wbhiU9QN1OGxB7Vcn9k8RlNz/BFljT9n6YiOmP8vtio8ctCkCLKp
WVIPyD6ECxYnTDccM95sKsaC9zBw+K7HaVTr8piXNwEARJdLKhwxKf3CxYBSm9FjDedRja4cMBQ9
95hpa71e0JKkG47nruM9eYN+uP9OO5qn+BzPkXq7cosZx1IrKQBiaRZnmJ2Zc7gfu2ce7zG+3CQb
JKYynt/tyLwPaEuqqcF0hFllz5A2j/dwcVB4KphPU58Ylx2O93mMLibTQvms2kcwd6nxHdJOYucv
lysyOz8nr/3D31TYYPnSmcf2LB25GZSh1gb6rVqR0n54pqOA0LlT+Q2H5rE5Yx7rFkvFONrfFa2r
CrclNARqVugQ2ug0EeFFbNSDYOv1+wqAU8B0e/B2BWAz9XrF3YiLp9/Xc0MYdns93bVwjF8kbP73
uJBtQekiSsDXVBPAcVDpFdOgdtMf6HvQEKP3apDH61JhFd4yzdG8Zv66KWbH+/XP4bE+mmOqhPG7
TnBGQegxGq8lckMwMzdeK6GfFGFwno5QJICGzKJBuB81VwvwmFR7PYmGcYEG/dwvv6p/n4Qr/KgN
46IQSWc/zMte2EijZ/so5ygA4qNGfcJCZfB3EPSvYvHCFMGuQo0GWtTYxFhm2xvwiM+oXdFVDwFW
qwbPHRdFkcaEwYdwo8CiWUUTzQsNLvKcCmwLMtMOAvjvPXtckKQN4D6AdY2NBYEMCgVMYFwbQphC
QU0270mK1klm3oY3TEiWDfOhloR+kJ5qKV5jy010B7grxQDCoBw0KP+8FMhwh3gvoTdVU++fx9y4
yUTzzAQeccb4iE44emGGxnPgPjFmUWg6k1uPM62QgveonKGi99N2XI3mcRueGZYE4Q/MLdJtcC8p
dlQkLEYJkDjPvPfzEQXYIPWiumv/XdCyqiTEKeg8VlVti54amgQ4Buoxd2AIOEzWsf6YDIyvlZpC
qWYFzISYF0iIAM5JxIOApFDT7wOIdwIDLeIAtpBUyPA4B37jhYm2u7OjwioIxLBz4nrQ6nb3dvW7
Y3XzMroJ4IWi/sQlFJLKtCG23AR2z67applRXgPC+6qtlIe1QggnFQD9TBhGqoQJuajVJRqb9od5
Oj1XKHLa+oE2odfhZ/Z+dEKYmY1GbCt6kF3f+k0khy3RU+k0L/8M+BefwZnvHussAv0/qwbNG/MD
fQOcFn1HzFTvc1gix/umBppaCDkBn3zdn49Y7aiW8wCXEtyQ64N4cEIIjl7ihOryeW1VTE6d2NVy
WDQA2/cD2M6FoThNpRqEFED2/eBRxGdgQeOFjoBQg8DDi94lNHY2PXqYHDArCahzV4umGBe312Js
0HAPUNkJhvLcOBbnwb3AtJ2dnZMStUBzHCj5dDBQ9q5qPzSt2KhFmJlIgUjhG/4I9+YFKbErxbjK
QbCzf3hv3pTLFqnCefo/CDia0tC+/D80npf3w42AQkYFTMXuzQin4ZGcAHT3QiEXvbC2ecSJYdoh
+q0GDdXuPeIxZtrqv1JmdsfxcwBzdL4UmZOOZ+XpBOzrFJt8UgsOY4g5lXoB/T0XCdv0/oq+g+Y3
vCFN6xDGfO6aUmDKu42jUPMq8Px+XoH7Kt3sEFR7rbDYMdlV03LCSif6IAgotfO7QQA0moF5ruaZ
aTLr6+vh7IMAcqugsrAJVb2halfKqgFR5WbzOzhNk2B6Bs/lzs6Oflc9hw5bwTE0V5tTzcjOxucQ
kDgXdk58L8UkinCwdHFGDM2bQYnn0Zt92bxy3ra+C/nxmJuZc/5v3xfcPbmQlenveG/eZCWjHWPF
hefPrX05sDAX02hSygI3qy68xf2+jjGf12tZHuSnGeX7LyyuvCZGQaubgvHQ4mfWRzEMJ6FinPQi
46aq9AULAxsy5Ud4QRlhwX4YJbQ8NuqFh/fmUgs6DJQvjfLCHkGLC7eZn1+fx1YF0xzziZgP4/Yo
RNSzZ4xsr0XR5p+sTkq9Vg8gve3axFW4UPAz8pSM/5MuJvxNs4RmH48HjqJamIHmMClxXzqxbfdR
zarXy1EMcC/R7KwGc7do4fmdPQdQm3nmuVTxO8lCtDdzgiHieAOnHTkA3//tnz06CWgKqGRwwL6j
JJEakdNizJlATQotDa2JjgMLpVKGfU4jC5pYrxewTWqe/InrUnh7YeKvyZuJOJuFzPC6fh7kNFAT
VFETycmGfKhVUTsqnoN7wbzB82NjLRJWB2o92R9Z/xeQSFNeWDSdCzhkh7VBgmMOxV16LTzF1J6A
k+SzblWYV2wAzxsgi7qdj4LHYyjUUnSRgcPksAp6GDkhoU3hxQkIwUNzL13cUWDwH2MUsVAdC5me
Ou7UEGi4hvduekGA94jNeVzMC5/076iGe8A53TFNY0q9ih5zouYZr4EF3AueJ68Z8dwxlMSum/Ne
Ik7R/vH+vAbCNvRecv/xfi0W05u38XmcwMSY5e7XeTYjRcNrREmcZSrYeRzj/fR5GSVgferXmjeJ
vOBM+/2ojVgfTfkiFv9xG7VqH0v6SOcpELa5jagkB3+WCq1kjnvN7vPYqhwwxu0hRIfArTabHJi0
nKg60BIAdGhZjUFDyn3nmbKOhDZWHVQDCL67o4RR9dAZ/kRmOZrXLuKiVUuoJNV6NWRw6AYBSO2L
3i+A6M1GU50GXpvg7onr4Vp+IKlZeDMsYlX4HaC+GMBvC2xIaI1YONQiGMYUTp/hTgS1vRmqworm
ncMr/Lk9lhaoHZlgxWcRg1JKlcUPAssyczwVZBSeKcak2m4/9DXwykpBNgR1yti1vZD1XuWc84Lx
kSUX0sKxcBibboIAoQfZXPD37YUZAW/2Fd/zP/0mSEhCuYWdjn4+MTFxMtqGP4ULyk+bH+/810cL
kvhZKTv3SIFoGl66gRJ7/by36pgJKj4gA3E56bjrQ/jAXPT9hOMePHig2FDAFE1DsAmM79NEU8Gy
sxvJoz5lRbh2fgCiWWEfwRsJjK3Vbkmn0w4pX6Sk9AQ1EaFxgTfjMBUIrNnZ2eCW9pPWAc5MTeKp
GJFEKU57xM7pvUJuEugxphmkAmykZ8cJSAL3qj2aaeZbek7SUFLCKp/Hk1qx8LnIaXZSS8XfCH8J
GTtq0Sxi3+EaWNDAsKKXz54zkk6dwON1h0iwMPkTlnfeGYC+D9eFtuyzfVDYUWvlfIxannHa4kJ1
4SvczPAs6Fc8C36np/qglDPHbUcVQKNA+sO0nuh4EuvL5HxR804FVWJOf+69hGEHxmTEwwx0R65X
6rnJkdvZ6aa2jsHAA1cCjqXByM6U8iYCFjaO1RbnYuhQxc96QRsYDIK3b1ilFanXarIwv5D3vrgF
6nlINFuJYammZXyxFKynpuTpBN6MiWYphYwzE0O6rIyZHwW92+VI14i7KzyCtgDVPAHXySgHqSDn
REVMG7RZLyD89dD3kxOTubxlHgsjFulNn6A1Q+gHBwviNKlBoY8QSkVPLPsqLgrrA+9oSJ0U3vT0
36HghEYc+92eM+JsNGGc5gVBrUIm8Vhub29rv0ALhyNHsc52K47teBNcvDGNesAx8HqeNBm1SBAU
aW5Fgin2a6IZpd8bHCB8cpiqjzQxRYLNpxn6PLaqcnKIWemECgsJpgAmuaZzMXVfWe34ZxwjvA9T
DF5BCANOLrLcvVctAsNJfBsnDu+BZpOPvUsBci9c0BQXczm3KJywgCFMQerkRPdB1rkdv2Cx+feL
MJSwEDNPIbE+/RvCwZ4JMZb8LvETZeGb2Uh8CGEpvqlA6/aUs6ZxbdBw4Qvh5mH9Ao8txitiTQbE
4z3NsgHT3JmnalrvI/SqpQ8GLZXZL8LmAedFiJ/zjgRP7dAxM82bz+uxTN+iKW5aKgU/tUO9N/s+
79E7cFR7s7+jdmoZINDwnF7jBGVG42FNa1YMs1zTTdX3wxDwfcKtUIglmlfOHD8CPWIkAO+0LDpc
7KCh43PnGpFp4iTacfrXQwhF84fnqFLj4M5KvErdvLbbV+o20S2633sgsCgxWSDMOBlzZorTzGj2
6N+kBtgajbtsIox4rBconPBxQpsgYOcon8lStaiXq5eEyJjrnJ3jn70IyE2fWe+jQJPyXCRdgExT
Y33KaAIKZeWFIVxJhT3uLRtc3TS63Zz3k17O1HNW3a9KuxSyChA/80Km3+lrf/SU5mHxoqaVqTaq
GF/wDhPfgSCKDoNRmRccNjaEtbmxi0Cwad76DKaV+nN5rJDOHN/vUfult9S8lTpHzURFJAP7S/FY
x/Gr1qpDWFe6ID6LNhImGPmFx7+eNoe8+E3ks9S2RjkVUufAqFbViUEV0WL1iGMB9PaTimaRX3SY
4NH0gebEzAMmsDihSUglv8trUznAu8DLFdV3evXNNR+FJkBi21Hp1eT9ANCFxhDjw8yDCEHWB23B
cc6oCaaqOZ+LITweAC26V2qrFFQ+vS6dAMCLIKwouFTIVQMDnf3ShebU7aqZQ6dIbvKZINBsG+Vm
8Mi2s/ASZLKgyQ4tLFiAQUOG9gTTKCpN+hxB48P3aarGwGnnffJj5LXqHG7ncDolllq/ec2ZcXre
JOT5iswkfoefsz9xnDpcShIzeHBM96tZTKxfIH7McpvRIZSJ47ZUQ89RElxCSX5W2Gh+y3B4VPpM
0XKwDYAaakqFYIzowXJy2Lt70i2nWY0wif11q7pYsGgtGR4mK7QDmFM6EchLoefMAE/G662ursrM
zIziHRo82g0LVL1yltjOq/RouUlrwsBztvxE8lgMTYZUuCmQCg2hXgvaimFEfFiGBmEyg3jKoUMc
pIbo2HfYgcSGKHjIkNdFYOYduWlsOWFiDdfdWF/X84Auou5zmyR4j2lyqEXlhF9JZKxatVjIzNyO
k9yn77F+8Gad510BbI5Yk3Ok4CIQmt4+xvFge2sEw+6eAu50WlAzyJNMCbAHoaROCNu1I+ve4AE/
rniRQZ8zWxiqZKZm3NQ8A95gAIwl70lrAdTqOg99yiFGVxSZ9pmmw75NFuhjCq5oopkmM4oW4jD0
kUIhbqilYW03YqMG18TnQ6omh5tGwTwwXBXBEaU87SZ3785CGmXun0gzE/8o51aBpV4gi0UDMKkp
XRA76OLcFBCnu5o7Zz+YFZqJEfmVTMvBRMTn3X6IR8TnmEz0bnFxUhjRi0htzmdEiM/EuEYJQiaa
dt2eqv0a98Vdu2xphs2zxfNi4UJoIO0MRmIfqZc7HXm49tAwOX0w9ShhoqNfcA0sXsaZMQ4PO7pi
Ikal4I4PvAmYCscfgdcaDWDP5DUJPLtqOsYRywshajD5jKg+zEb/ppfSJl0MFVLtsWCSO2GFjJ6p
GaymkwlK9BMAbYQyxRhJ500O5woLPgfk2k+GGfn343UMEKYA9nGN+l0XPJ86EtgHigXutbLnwrwI
YE4OJ/VUgnROBIDfvAduAcUNy1pOuzyippGazxHOyNSt6F1NycIc29z5SsO8Kv7OdZnbxMwr7p+B
n1ObHyUkimCQkxJWhVrlIafmfVRVK1Fzo6ILbdAbSHksCJHINO92pVapxVzvMO10Fzegl6aPgshk
TDPXOT1ZlSxbqX+lWRo4scgpIpgfVVsCr6QiAES3BcRJxnzvxDs4Qam9qeABYx8pcxpN5xgI0xbP
tbO7E3Jp6f33ZWJ8XLOkcjJjgSmgv2NYWDncMxY7qvsQ+E41xHj/YRTi+4yF9AszNTfjAjb6Ruxv
l6lBg8w1e2olev+0/7CAc0TTjPqQuwY1LYD8NWhWIU2Pam9OEx1FCeA4ebOQ508xLq9Re74UQ3P8
NWJONLeI6FWF2UstMM45HyLkFhrMXB/RULQoiIFyXH07qrDKgPRouw/hR9r/huelm8rIa5aKr5c7
hrw3F3VQhC+ONIud1zHFS0cJrYNwwPQzb9YeCZB3QrhKz0nYcUMVG5g9FFi66JRuMIi8FjQMqHq6
LJtDXGgWdMv4Pf0ba4qexWSXZEvdzH7Xz2l6iYbBh47CoWBXStO0eGGppqv3QsK7Vg3YCMNyoHkF
YDoIY32unsvSiR3Ljk9zzXMHLWyuPFnOE+eyXPAZUq8p34/jbZoKNUHcb8T6EoHnU1r7RR61Ynsu
zaJRC+FQfhOJ92nTiJ5OTzEhlSI1JbxpRrw0t4mZkPO4JZM48hnZN5iD6GtoqAzOL9JiOK5eUBVp
T9wYeU/2iHFn8drxYS3zBhr1Jfnc8wzhcPFS4TAAfnAACu+1K7/JR4Hp8KJU8+T4pLSHUcLoSXlZ
h87rxrMaTBVgDJm3TX92A++FLHE8PF3xmtUB/yxGkAuKuBZZ5cS8cp6kBPzzbt4Y5+fynkdvnKWT
8TgANS39boEQzOFe5YIMkInJGbGVSsBD/K6TLuwo0Ox9LJiY4tinQ052ltSt7c/towtyGSAs+Dzi
Lqa9BTPWgFMXhaAL2ILD/fN67WEo/Y01T56leUhqC7WT+AyBhBYdCzpmDmyPApUWV5InPwpy59Dw
Y+sXlBc2nGfQJhlWw77wAtFvGrpxOM8j+71I08L9ZPzDPE7ov5MTegWhUf6E+viG03gsUp/0GOt9
cBQhkfDU+J4X+NFEHXUde25fy2FIGTiGoDpIyB67zBcui6mD32u1sVByC0ROZ87QyweAnSEyeIjx
iXEF7FsoMNFCgYmyYh5gv6fmX2oq2lPHRcVF6CdzFHIFlWziP5bPgsCwkJqCHsvO6YBJHxKUw1ec
KTN0qlS78+E0aRhJ0XfduWnKsUqOnyRFGTdT85nPRiBVky9ik6FpntyHxyD9+XSMnaZMwaRjbMV1
R+ENzG3GijJRO3MhJCEzbb48F/tetWMXlM6Nivep+byQRcTGiIVT0HRjSblFI4J8o9BnVIJ5Lf3G
QosictYMjGewt1/AnuBKTZqavtf0InhNjZpjkE3+bN54oL5AIJRcZod4jLcYnUc3WAdZyNRBzQs4
OsLwHvHYI5WcO2JLN5LDBF/OS6gsdUtVrKQ6y3elE880JM0nZdiIpqFRYHlfcZ2qPQioA5ikmk4G
k6igWizxMO0ATgiCyZb0jjfoH0p/dzGHXlPDP3rxNA2O0yq8YNJrmLkqCeblBWXO9evCdbypkhMU
iZs44mtKIg2l04ZY1Z5Q67Q13ivf96Er9GQxx3pceOXBEMu/PAL78mCu91ZGPBBakiVT9P3hqQT5
+wrvwckCgYLq3Sp8yxXd2BgxESdpAu7Ti5lxK7IJSgGQey4Xx4ifuAa9iV4w5AVC9pNjGTV6E5Y0
dTkOFclqbcbntiwj7COOcyya4k1ucyDQO8pnS3EififGqzrhp/3O0LDEuyoF2lERzhWx06gRZ7QW
D1N4gR3xRFMssNHQiuK9FV1zlHCN33EYXmplDAlod6y/R7QqvEDMZkB2uKZugcfQ8BC8T9Y0wjcq
yGUFzapW0/cQ4NxoNAOj2kDg3K7uXbhOWoeg6N1sori6h0NqaJJ7ieYPq7/wfXQw4ud097PCDexs
MtHZWFU5Vq9JBsRreYXvOTU7t7PZs9JE4WecyEWLnhPcT04P1uu9GV6InzRzY9+WRL2R21vbsrW9
rWMDF3+qnbEakgYvl0uxWlJ0SqDklw/CtmR8fmEOmdKVUAiXGToxb4B14lU3x0bUZLzGkxQtiTu8
mXwer+L9UbOHx9dXKoo7NXOLmTD3MEMRZMBNKDXxlJ7jYlP1vmhK24vvpbiWHzu/Brip5SIiEpzR
L27WHchp/tb8e6kQ9Gl/iMNGwUtB64WUyyLsGyNIclEMj4BX+Q0+1Qhzx2UA23Cz96rkqUT13KX9
IA4ChjTCOKBF6fvqMQqCRdPRWJI/PpQnjfqJSKHEQVOtyCXUy2EEzvzwBVV9HneC3PDKQQuBN69M
T2T61DYB4EH07/lCEPHtxCT1Ha/PZVpcrpPTXaHk3iTO5tKoeBPBN13ElUx7zHl5TIAQ4/JANPsW
gkPpI/B07uxETZmLiJqnFh5xITIcn2iycrNz5hPvwy8wf05yeiC4PAEVmxKpM7EfEu9PbpctJWmy
WZG8HAqZMgIAwoueVQhneDX5Hf6EOPFd7DE0zpEiDl2a0kf/tHjMuOg9oJ1otB7LS8+dmqtR6Djs
Ls6RxMNa1HI4qR8np7H4pIncOGMqHzf//eaOsUPsZY64/Yj4enyGI34/xX6jwKLJRw9f3P1xRFWk
t99VfAomINjigDMqqpXgePPe0CvBtC/5Ox0yvdix+J08Lo/n6I05j1zsTPd9/zeO3Wu1tLJPzSYf
w0tyJh8r5eS052HNahQeosdTJScnrRBkLTDH0gXvqux4MymHZYwIV/AmXgTITShh0Vb6gaLCzK4Q
JFFYOC9tvE/rk2iWEygnT8gLzVSjdLGVPI74jpaE64RQH2TqIBQAExJ0GgVO3Thw0eYqMFE7sP5q
SjNoXwkID3zVQw0pXcPPJc5vFWZDI5dAEiDEmgOCGCnPG003X18zLXHHC7j4vnicbcSBjO3MIfe9
1OlTOiDOzp/bz3N/Dmqv0anj8OGUYgSOYYwRPqoXM2lD4H9BX/t7PBJxlF4l7giw4aFOcyIwSDZk
/cQOle3MnAQsWkGzjup+8ArbTat6mt2qd4N7LMUv6kjwM+FD3op2fC8wutFAIFTztVYLYSUGFuZy
w3sXe9I/qYnHzkwBU30c7kzhoPjT4x7poMWfaWFUnoaYn8OVRu1KOQ3BeeSoASqfzgp+EASn2Z3D
s1gFyIXAkCDscZWcQC0I3o1mmQnxCKQbMRbfA/TABdJvhEwN3utEgN5rYbyvoCkFDUEjKup5M5pJ
ItNEg6H/Qqd6DI7PHN7LC7cIBiehQTmNxZmwCkxbUgAlY1rlJO/38VYGvxPNe1BiBiBmm7bsnAG5
+ZUM9FLNAAAgAElEQVRooYOioGmv6SXUDp2bEnh6PrstY17jGomqTLZ2iubzcYRWnKe0Ngqeyb2R
mw9pH1SpoXhbmpNeK8202hrCElKzmEACdmDph2EugjEO8wOmwPz8fKA9mJ0espK6isaa76KUW0TB
ti9JWYmK2QOweITmcJcAdPIBI85hCQih/fm0IVRl/YTzk5z4kh/cnFnoJq7+7flS5oZPcQ9dpCZQ
/SRNVf9clZSkMMUobQot8sxIDzCNMS4eux5Sq+B9LZBbC1EEqabBn9pHdHY40JiLO+IXHoi3eoWk
cbgOyIHHbBCaSAuE58Y8YT2AXBZTP7GBzTks0DPTUxOd3kKa6qO4Z4QT/Hc9bJF606LJa1aHZ97H
DczmDDN1UFDx+BzL3IR5DLp3fcSIgB7NNh9b6a2SgW0OpUQg2dByTNBiWvPScKYQUlXIa4zeUtuo
9LmdlptznBSYn3FuFKyZqPEdJKR885SWAkZ8FQOOfEG60KyQ5PbOdpi4pjU1x8f18OnZWS2AurGx
IR2rQjOJjI3lEECcZS3NgEjlZNmAUquK5p/PCa4dRq9cWb2P/H6cwBasTM2AZEXFNZD3vYtEdMHE
ZNMcSi4PVLy+2SN6n5bWNseANpwo5rR3XsO0mrMXSFEdz0ZnaBBoPhFY1ueAA8CEOWPacuenKWZA
O3fEaEYbeKyapeKM1RA25HhY3jnhy4DFjcyZjXERmKaVE4qGieS+a+ZTnJDO86jvlQaqrUOYsuoS
qQssBc86AqqlOBCdJm08V5JSG+MPYJ/aXJz4TpPimOXIr67Rlc9+iLQKD1I7wU6slgHi6aaR/kTT
+M5KXqhGkqrHfH3VpWRx99wmUWgeJlQi1mqgVgXFg1q3/07UqhNvrncU6Ri4mGA2L9hy68IHtBdg
vUXCT+eNVTwvglq0LiHNDuIe3PkiPoXP+wMNgYieuDLiA2s6AJgwUNUh+AgERwoBb8AWGLSy1t5e
uHjNwm5AldBsAhZ4jQymel3HmTJ3vp+MHGjiIt7drM9jApcTxy+C3EB7kDapnJziA1FYUfK7XbfI
ZT0ErJuwJYkxuuuTatmpllIExHIR5Zj8zhvmwfRUM8mZlMQRPGaWzpWkGKv2u13Xm8fe5IrOBuYq
K4dxoiY01ggadafdjvcauU3JpI4akvNw4SfmkmIyiCntdnXD0lhW2+TSZ/a/h7GEhp+lQvLmbKGn
zsMCrq8j9GD3q5w6D5abIyFy3JzGHq2MBFukBzJ9v5Q8h7+vuNCZLaS7H7VerI+0QlLcTGmSU0N2
WGUahpV7rhTTchhcqiF5KCSFFtK5luOZuaZeQu6oenOgJkg1ZsHk4IU0LGPKLSp3StKB+tnFpC1L
D9kpkckRUfIW0qDseVVRs3Q1HaNKqFAEudEq6gYpHgaGISVBwOT5Ox7zyAmSKBgcKG5mrWa1tH9+
YEftrn4w40QxpSdnfucSn/kFHjQ23gMHmF4XH8TMCezpC+kOFc7o8I+EcU/ti+mLY+ZTp6XFhHUp
n4faF2WuE1g5jG7gXi5vlTcV/Xkj7pd4udSrXG9Ibyx4OL2zBfet9S2j08d2LDeJmQrIm/PQ9INW
ua8aXLMf6hN4zZJzQpI8/rn7dngg+8Sb7SmmFk1Gjh2dFbxdEpndmFLgxopQTvsq2lRoink+WoVe
cjeGOQ05wbPoSPERETktyXm7SXyNU9qZ1hSyhAgKhYvP1suNOTEni8y8IcHl5qP/HlpVawMCaKWH
xswKv3CUPqCBr2Vss3ay0OGgN+zvQ9XNmNrEWPZb7ZDYTwc8yzhA8zGWACeOVjbA3qnYcQdzdn32
XKFDfUrluLOYmehxkrSj/GSMWVLdQEAzHAIcE1ZyEE5h1kRr0H7xqjbxA7+TeoZ9kSAtBDcdTpTr
E9sRc17VJGlh7CM/MVRW5+PNclWmzTzzmiInkd/pff8w0WPUAt331BEg+RRAwD6ZEocCLM5bH8qC
2pODwA3EZ9CqdO6Mhfz06dh6kDoTHEYsTvGXgmfBexA6pGeQk8iFT+/hkFau95zv6xTfSYWmp6h4
XJJCwxNo+0bO9XPQb+g8B9eVF2IxB36S+jt6UA27IkbrYQSC9H6NeE26cA77TXBEYY7c8YnwSteA
xhLqzjwwLQjelu6+TE9Nq2pNTYsPBQCdpha4NRA8m1s7sZIOzUecZ3NzU99rjDelgWwHqKprqpDf
DVKNILXjozqcmEUUBHAMAGSHdobjWeWZpofHWgrVWSOz+smUeZE8uztoWt5MyYBR66QUvzD3NZ+F
Htm4gNx3/G6SM7Oc+cnFp55c5ykiHgXcUXOcNRrh5UvBJ1ib165yfe8XcWKapTuzf17vDPFwgieN
MpBesTuw6i1wPMemTjTBKMQGoviqmn7VYAVAgEBgsX+hwakpVXLk3VK2saS7fGqieCBbveTtUPGp
3ekEEmwzFOllanEem5rRgZeWBdZ71jxpPn6zwj/iql6L9f1R8VWe/KJOYyJZWccsJpbji55frTKO
RAdhA+W4URPT5zNOXVQczOSNGpoJST9fvaY1dI+HBFAXPRc3vWgNYM7QJewXpqbrqJrHziY2+Vp6
SQDGWhSgb/nGLX87E/eB7dxp6wu7J0J1ouljjG/uAH7ReqGC3bPIxvWeNkwmmBHzC/NR2/CkV0xe
0iHcCYbPWUB34K5ObwsHjhku/a5SJGj4M83xlZuoTiUmK9+brhGr8Uxqb8aRD+YA4js378jdm7fl
9NkVufrctcJn9eZCBMqdx3RIeDtAmGNAtrf3hvmNxz8DtQPODSW2kgrgaDDaX+Ql6YYU4uzUg0xv
nlkAgBCwocIBVGqXYsUf0Ce8hqvZHJBCCQHcxjXgOOVMY+sUalTU+LAB4LsTE5N6blQZ0pL2zabO
Lw/ue0JsOR1fewblPFbzhGp+nw4Bem6rpUC+9UHbZcv9P6QRxulh/7BJloMwIuCO8xDT4iTQ3G6w
bur1SHnQquH2D2tXybnGENDzdZFzPEv5E+dtkoeM1/awRGEz+CAXzhcfy5mowOF2dvakrillraIM
AVt68JxJo+xipESGWdeoqzBCB25ubmXpg+14TPq5+fngPq2al60gzQp3ztjpDGFJTDQvqNj5GhTr
cCEuDNw/sbnwPbdgR/RZnFzcJex5dIIRByhg7keQMtFcuDvkyHgOJxkes2HV2oclpeZNmhdf8Zx2
W376f31HHvz0uux9+VmZmZ2VlfNn4rHxuolL3KeA9rhFqjnFc9hX6e3jscTPIk3GkYnprODiofmf
YiJ5QqvhJ6yaQ3zOPHTQrDAHAbTjnJifWFwIvifxWKs77+7JVm8r4mC8R9bj5CYXM5lu7+g5cYxu
toY1Tk4FZ5Au/E6g/OA4CktvylEwe0WAUQy+b/GTVIOY3dfxETXNU8XGp5SPAeQa9d5Ffp9jppsC
vOSYy6UgaKBdbW1s6kRQPpx6Lqsxj7/G5Fpq8R1UJDLqEKNZvPCJAopl4GhWuvmfjadNPyeYcpvc
oJg+5Fv1jbfuyovPrShoTtsbXhMCodwhmUIExExkZ8BAVzSXVEg7g2R4XuWl6zQKjUTN9+p+BI3d
zcf4whTks8a85Dhe0x7DHLCQEFVfLftk2L3iOi1sqTcp1RQyrCrPRi/y5MWJ6LSiNG1KvI7TbuJE
K7pJCxFB29rYko/eeV+2H6zL1Veek/lTi5EOgGefv3RaWrt7Mn5qVpoTzXifvg/jfZqWlgKtozCH
IbO9aEypfVEjGOTpJJzEuigsljOnSXvCrP0duUEWikVNRRMoQpC1sky2ys7mJolH7DvAmwLRNhXl
EeL7Xb/xDXIpldJ54SktzKALFj8dTvgbmj+hlMh5ArWnlFEVfLB/DFdLqBUcB68JlwhkewtFj820
JjZutmrxtPZCKm5YLkgVtdcO8Z+wQsZgNaCPMk8nhDI2JO1zxaczocjMGz4Ez1M1NCuwEWi91hjn
CiNOmITAPM6R8kPvticWm5yotts9uXM3BEBPTzWyNZKwp6m1qKCy3ZOZOSG4YjoTqpoOq4gTmXa+
U/fizfcz/gXtb6rGOWA5ScCn6Zn39+N9pamIM0lgK9J3QKlAM00EVhHjuEiADp3IC8KcR3HoVoZM
4rR5zW3zwUN54y++J1sf3ZOJ6UmZmJnM2OzVqlx59TmZO78s80uLMjk9dcAtOm+NA4z936kXJ31u
H5blxzXFy7yWyYkdnQGJsOJ3PK6jJorj0TFYWzWTSjUU63Bzg3MAuCz/1u+SemDB/Z1OSOtNDQvE
aKXrgE3PZ6bwdUKf9zA2CJXPoWlRC/N1JnP4GzTSQTcKJt8HMWc/THsy75ONhAJK1PmeN7vyZrhB
BcTNwC804Q4KSFg7ZcV8EYOruHI1o1VEJSLQJnVOcZPwa3BI6/Zzyzycnivn+897IyPGZ/haJgQN
ikGfuPyG1acuL8r9Bzty8/amalcQWmMOxPQYTLxx43dgoDbWN2T51HIIbiXz2nYD3wlRiNjNqelo
O040uaxKMdI0R4KcO5+f3D6CH+pqTOSmT5lR+4e8Dk4DipMgHjKMmaWUg6FDHHbgJxGvdZhwS8Ha
gxoKPuzttmX9zqZs3dmRO7fWZHJlXaZbQTXTO6hNytIF5CNDQVGHDxZd1/3uQyE8VlV0j0OqvjtH
avb7fom43QgHSNQkU2GeMLY9Romm3uCxVo4WkSMlJ7QLNByj5qBl9+Dc5jWUpEyT3yVM9Fq2buKl
etTQeC2NMLCUzWmUgRdgjOFVbY5VtQ1/0g2IhU6oTYlLDePlvHqAaa5n/cS1CxwO9wghCxJ4MNnD
y0dLeK1NU5oPKgFHTDY1blSeYkHBwjnD9OU5hwuxSZKOExyVDhsKVY6hEoftvNWL5+ek2RiTd967
J/fub8qrL5+VyYmGVUPJS3JKS8bqaa53s/V9B3GA6C3yZEDa4ayuQ1cxcS6G4wAj0NzoY1lCPk6a
6GrG9VHkoYH7NZAeuD46SLkU+YWZK+rq7P3Y6YnXLQeaeg0xaZGfk2hUQR2nNlcgBAoawGS8wj1l
AhPvdUA3mZyWxde/Jttnbsj9fkN23r4npdJ9HeBeH3F1uzI5MS4rp2bkzMq0LMxNhkIROXDZ3a8u
BAXv4rOE0CFqElna6VQoR8zQEy1HUAT891Ig1Wu7Htynp8+bEfSkcSyid7DRiIVIuMipWfnFyO+w
gjbnbsq/A9YU3f401T3+6GAMaCsA5DW7gXkSNWWzzwzBRcjqSInGTkoHHGAsLguBHDPvEuMcJLBC
6uiw7BLBe95SilAPuewkVH1CWh7tYyUvQzHI8EUC9qmZSS1T/4SspGlsGpGaxv1srcd8axamlMNE
OUeM1hJDvQYBdtJnh7Wmm0amLUYeFqT44vyEvPDMsnx6a02+/8NP5LWvXtEJ65nFwAaocWmBgvGQ
1qW6M6aeGkwWhubooJt7lEKoVM00LKjw+/BM2mCp54JVT1gNpd0KVWsc1sOdZXNzQwefJahiRWqf
MjgVBKai8v79Lh8Xj6c7eCDY+Daj2kFCqHQUE5L32B/I/QdbcvvupmxutaVer8i5M7Oq8d68vS4P
13akXqvI17/+vPzW3/9STB3D51AguNOWcrkq6xttee/DB/L9jetW5Qdqf+h7YBiVak3qdYxpuK6W
odQdHgtdZGl+Qs6cnpHFhUmp17INw7cY2uMfNql4U6RxegdCeoz/W+dLxR1r3CeeS7GgEeXVoubO
hZaY6Vyc1HI4z33Vcr94icfloBLzzo5VxmRmekb2WgH0BzZWbmZWA59JPYfwWjshzWdl4sTBmAmb
Nio7iYz1xnL3VfGFXKhxIajZclepQO72pAUqxt6uPi3wZXg58V0QbXFpxT3ZR9qfyZwvBa0zjocT
NOw/ejJBseEYEWNTLdHVCI0ZW4jBqUxyuc5ccV+C+9m0ysagurW5qV8YGyvJyvKUduq/+85HcvXK
opw5PSuNBjwwwfQKZcxDHncm6pucnNDCFdgJQmHOYbMgSmx0poF5CJjmxKOHpN8NBUd1wGNObauh
ZpMOmJk+lGUi8IumSDDwfjzDPBVWfhdItQS/sB614dTtzr6sb+zJ6sNd2dpGHUVLmjgWYih39jrS
7kBjrMjkeE3OnZmWbrevwgvdOTE+Jk9fWZKJibpMjgNLDMKGz4GdudVry+wMJmZVJsabMjc7oVpZ
XHz2fGFyWkiK8m/IsQknDID2vty9vyUffryqk352pqnzY2YanjXLX1akcZaGtVPfz8dtI03aA5wD
XiP03tfUqRFDYrjJOZOI/RpNnTQKIan4BLNFPZYoWdeFd20nbvRYF7AgvIafYuQ0O0GqhbCD1kIN
ESA+xheNbH9ReZPdi49nzPiJoXgI8KBaLTx811JN67n0eTJB5NeBp9N47Y7X41omfysXWG71STXU
zryOqfBn3xKY92X0dC63QiVzxhLnUiRDbYQqOz/XlHHll2zJw7VdLRU1N4OMlJmHJGYEdRNBzUHE
clVCFktOmBzAaisFmpV6DsxlSQ4Yj6WZ6PNlx0lm8YHMkukFITv5KM3jGjlzgRPTURUep+HUEMzX
b6zJzi4mXKjjN95EHwYkEaY3rgSzfHIC5kRNpieRLbQq+13gc6g+JDI1WZfJSXhozfXtGs1oPz4Y
u/HxWjzGmyf+ezl8IWpIA9nd7Uiz0ZLtJuL8gulw596m3L63qWmfpycbsrw8qYK3aDdMtajDGknL
eIEHmIs6KGh43rUHD+WjN34uyxfPyPK501qY1i46JKiC+et4ZQbAp7nk+U+B+NQpUxSU7t6nAGPK
Fm7OdA7oBgsrgiaW6zPeL8+h2UlcrKw6l7r7st8O5fTQIi3EqAu5SjymjSlobh59LRoMgZhoanwW
H1fsmzeD/d8RpxoEZ4PHvbkRxPTfDuvlmlMHBPrIOG/knHlOGsca6aNUiONkCGJm7qTx8YYsLk7J
m2/dkLv3NqTTacuppQntcO8hJJ5FnAreEi2iytxamBSsckPwEURTqKkqlKr5cuNu0KNp6QVRQVbQ
o7aIsXDiueR57MQ4WR9BCyhq6jbvdOXGrTVZfQjaRVlmZ8ZlcR4bgu2c+yDgBpJho1GRZiNje6OB
lDA9FagJoxopJ+hHOh6KWtH7uV3RbfdwYU9NNvTFZ1lb35P7q9uytdWSvT52xK5qjdUxBMGDrwRB
SQ0NAg4TkwMYMDH7w91BSfY78Kr1ZXNtVe5f/1T21jbkxddeleXTp0KSvxFtb2dXPn7rffneP/8z
eeqXvyC1X/9aJrB49tTUlMxzGBZ1wE9yu7/NbaYASoUL+yNq/y6MifOKmTJwnp2dXaMEhfXBsmRe
CyQWFE2fJOCacEwZub+QqHAQ0ovrGqu5FN9RoAQgfwxefS0InFUPp7kV+8Dnwuf6Mo99cDyoypxz
tPM7jOBgyBmVDW/R6BovBcpJJIyTzqEZZDsxfVXcQI2yxM03pLlCyqSBVENVYgQ19xX/qPbDA106
PyM//MkNWdsQuXBuUU0M2p+RuGm2JwRe4HjsS78KlS7kwNIFYQNbsiwPO9tbMj4+oRoG7Gl6SQh+
cqJlCQDzddN08Rmol5YdKmyDYjPBA3lRwzjB1ul05d79LXn3g/vKczu9PD2kHY2fyHU6qk7jeXx4
y6O2QhyuVJL5uXF9oe219lXb+uCj+6oFQjOcnqwr1oU1u78PpwpImzSlEIZDgql3gpRkdwcRET35
6GdvyFt/8Zey9+lt6ZRK8sXXviIzc7MAWWWsBsdMJlyxQNbvrcqHP3hbtt+/J+uX70t7Z2/0c7iN
z+f3osChthHuzxEwCWc4YeAzLcTjI8HVNBwoZ3aMkrKtsjl5X2ghv1yWyZScqSFuGhnlTAc+aOqY
g3vIVEJKwyiFzT9qedCoANMgbQ9SLgG3dSaxZk9x3nIKXTUnUcFdC8nivbA+U4cEWfHKO0PaIKuY
BUETQpraURmBhk7OnApSI/qiX9ViqtdldnZW32dWFw8psEYqnGxVeCLw8BAeaCxuEEzESdlt9eTB
6l5wkyeqry7yMZGHq6sqiTEwEFQQXsHDkiXZw+Vx08CetASYnQdeC+aV9+fX0KBk4qi0hqds3Gxo
xkYdlI7FRZ37ycXvRDvdu78fG7MayOr6jrzx1k159QvnFbgeGzu5Mkn+Oho3WCopu/s4wqootuuo
zw3z9dL5Bbl4fl4F88ZWS/E5mJFo8DIDm4taFSEbjWIASI4xDqtn+sKcCrzTjR3pfvie3Fhtya3b
O7Lz1x9KfXxSFuYn5MrFeTm7Mht2exFZvfdA3vyrH8gP//TbMvXSirzyO78iZ69ePPCePcDvNzoF
jBkuljSfNDAXc5fiXC5FDL3lnivFTRkNzqT79+/r3xPjYe5jI2cICxMD8Pwx+DzxsgkcKL2utGHe
Ia7SiLOs0K0VrBqgV9SkjOSA++FzwD+aJ817fQnjQHOzcDemeoL5PwBmRi3dYhPVonLPSG4chDLe
R4TA/PyCfgfhTCSbI64YFgXkjRYr2dnVa66vrcv84oJgWqgMMm1dx8YEo5rWPv+VdrTtPBAuZ1em
5ebtbbl+c1VOLYdcVzmQ22z9nZ3t4MbVEl5hajQbxpFxGQo0FEKTtTXMng4POpT+JKmYrJNBsuKZ
HozLCZ6UW5QIPDaquxysEzMDbbfa3G6pCTXerMncDHgvJy+s9HrOHX8cDTHXtyO8qoe1YFGU1BSc
nx2XmamG7qQ0KaNXPHdh7prZRzAjIYieevGaLJ5ekt2NbZk6vSTVsbrSiDc29+Tj6w/lp2/fli++
dFYW5ieliwD93bbUBxW5fPWKzC/NxwIUR7p3NzeoaYXf8cpynjP+MYUsIgDtnk/ThyfZFUI/meAx
iAPnBsMcx8CBhCpUMH25PvA+Qomo+ZFxn2U6qeuzNsYbutCDRmLxgG4t6VBgTSPHXa+tHuTgJDOz
2eAYrHMIHzgG1GyUUAEphNmFKkXUDHEtHAMaR6xu7viVOAbPxNhHrFXkyJuans4wQjNFm9D+tLJT
3RJZWliUOdXowEC/bG1uZXQRPKimQWZtNgSXWsXneh1aTl92dkPZeR04eAAGARxjNkLYlz21jSGA
gxnInR8X1ABoywZJlRd2cXiAhDJAgBR2tItwZ3xTBC79LpeaeG5CRrKqSx+bA+o9qfAxwHZef2Oz
pRQEaBvPPn1K+5B1Ap9ES3k4x2mjeGXHOocyybFgMs/go7TxyQndfSkk0PBc0OYgFNc3d+Wd9+/J
xfNdmZmclpe/8RU5ffaMLD9zTuYQ/H4UeGDE/YfNDt/HfMvnpiKAHp0Tzlxj3xNo9++nGhbWF5jm
St602EMmzITWhcXrNTQ2H0NZM80rVD2CVeLywOH+dVkF7h+AcBy/vbkVmPgw15oNVUggiLD+PFMd
987ao5oTT2MMg4ICoQYtLoD4QYimjbGhELTgpCm9Bo4lyAR3vNcSGbtcNeKr3pcru0ZtFvdCR10V
HoSgAUEihg6EwKJ6qpgbvUdGL/DmVZbiNaSeGWj8HyZwIIMydUgoK0Vfbth+CzUbI6dFENKCjgmS
YrDJhvWE0xxFwXuIEu9E9HD4ytIJA/tRG7hT12+uKyUApgxwK5oxT6J5VZxVl4/UnLfnJLyhJ3EO
NE7geN5SSSbGazLeHJPFhQlptQIuOFiYlOXLF+TMtUuaZuao2mUa9eCvw3mJhcecT6np5+erF076
vinRKbZFywXAsjqULBW0Zl+N6yJ8V6tb01HlNyPLGlJWzhm4iBZ3yMK+kaLgk/oNVLvaA9YFgnUj
wC7EkcAEUYoEMlkMxtwaDl5r/F6uBOUgpkl23sVM2AWQn9rYzta2tPZ2o4BjP8b1mQQ+47uEuvGJ
jxCgJguFB1qWWlZa2bVRl0G/Jr2dHS3ppWEx5jalOafExO5+5mWwC7d77dhZvDkMyvjEVPRuHDTw
cdK49Cx0l6aVXsQeSFnFSN7WdES2gnSxfkL6EAGvlTyqduKb9s1+T67fWFcNa+XUtFy+EFLePMmm
QtuE1LEEVlJk4LB2HIpCLuTpmN8d1XCuRn1MnRfvvHtX7j3Y0vMuzk9Jberoz+CpC+lnftMqnJ+J
sDqM9BqBePPiYgGOT0zkanAq76o2JtOVadWCPATiW3ksG6uuAesw8SLJFaRMaLjx2foKz0Bw9LoB
8lEtz9L6wLE2zAkLODM0ZXC1wA7IQojCM+C5mVwAsgAt1Cctq3kKLBxZIKAETUxOaZyieAa9OS/o
hQ0aFDapcN+6Ri03X1Q8zEERPaYPHjzI5WpHReeHDx+qrQuX7Pr6puzsBY5MDNJU8DsQwyBRd3f2
FLOqToxJfXxcBRY1sVEDqr+7iZNGaucWn0s7AT4G1cpoCtr3fH4eul85eeh2RdNwIJXkyaR9hEWl
9IV2V13+oDA8/8xpOX927olqVgctkON851jXKVrkh5A6i773OE2F1vNn5JNPV+WT62tyf3VPXnlh
xRj7B18n06CLN0v75VhtpKPHNZYfS5njTPMMPBXzEalrPF4U0yO5DbZnoDbzivn5HrOiGLdPoz9g
OlpcY0mjO2wNtcIaUjqMpQgKIUMDBcsh2JQ2YUBk8F5mKaKUWNxuqee/YVkqNre29PrT0zOa1ggJ
O5n9wW8UzLIBkzFL3OhMTAudCrSNkJ0YDdEeCjmBz6IkLldpF9ISQgsnVHS+gxQaOyqI9isdfcj2
Xgg2RQfCJTkxOW7pZkLHxlzxbnDTmLt0gKOULfDoMSSDgxNTLOdS6ubVTe729MJIDEnIm4SKW7Bs
+jEavgeN6qPrD+XDjx/Il75wXk4hWuAzElZo7ONR1WCeRBtlWp20gCpqoDlcPL8gk5MN+fjTVXn/
o/ty+SJoN6M5W2gRJrB01ifdcg4eBy8Qk8tV9OHxtERdxAeOobYCL593LKERqonncoUzaA6G9PLB
bANtqd3uSK8TiMUCr2EFSRD39TpZDQA4okKVbpJVgZOxShWiIsCYJ8cM5wWHand7W4VLKPG3IFz9
DikAACAASURBVI2JCfUIRvA/KXemEI8VriHO7VPT0BoixUIJuIO+amt19NGf/Hf/i3zlP/57cu75
K6pVEY1HeuPV1S0N7YCQw99IyKcyFx0I6VmpqDTFPrFtDwoP4NQk0prkE9ijMKsHu4sEDNVUfidS
J8LB+jfuERKakt5XAUk9XiSmRld0udiD4zkfR1lwUJnvP9jWsJmdvX11y3/lixdkSePuhgHJz6JF
dvEj4DmHPfPwRpA3+Z60kEobzJa52XF93jffviPLS1PSbByMZZ0ERpk71yHvwbQBdIG5SmFVhE3R
bR8BaDiXGsHrB2WAcbLkL9Xr9VwW3Ihj2VwPnK5AAeDch8ZVtoo5WCLKGHfFXgIGZSnO9WGYQyyk
jQrmYFiDHpuDOQgvn2JPtVogLhtk5D3+Po6Tnm0cS/zbc9si+dbgKBWecGig1idM0gf3HuhNQRDA
BUkmLg6+cWtbxqo1WVqckEaTDF3reMsAgA6EpgWgHGobXKIA3JltMV6U4TYj4v1yfyeS1k84Fq6A
Da87RDdoc6ri9kMQNT5XVRz5jvq9HLfFa238mQquUQ2xfaAswCRRhncd/VaX2elxBYU/S82KjTsU
J7gujvLBz/Oo8X3UCshYyCJfPnuhhZhL9PtYtaxhT2DlNxtPFjM8aqO5BSCaSQFyxRvYrBP94qaT
ieFvwJvIKG9bjK0nQTNPFcBymFkqAHoDae+15eHqA2k0mlKt1dV866MgDGwVI89Gkqbm8Qr0kljD
0zyPSvy0tAkxtU00a1mfgVWgsmIgqQPFW03UJmMmClfg2ONbUZBVMmWn+srv/oqcvnxOSWzxhoxd
2+qESO8zK/O6q/mdAhJVhQeyi6IWXClIWAg9qnNoKXaUDqweYwTQOI5FYTIOkwJnhOEJNIV89kPy
XbRiD8mmlg7WF1XNXe+QhQutCpygm7c3ZGunrUTGU0tTaoo8CiZ0ogIL3thuRXd0FV7m7DhpQZJy
23z07i9K0zq9PKXe2akJxD4e3elwks3DFwTZFfOtISNGPQofNdPIhnf0Gi7uOI+skhNMQnLmIr7V
7Umr34prlEoAq7RrHF5nXzYePpS1+w9kZm5OJmegoZTU+18eVKSK0LAoPHAqgv2Gc+lDBfM5OMBC
iI63ePz9hvAcrL+sPkTgWDVC8j23SYYMr8DXLJuLkXbVQ2qhR74CNb2sEXT/nf/8D2OnIHEeTa/Y
6VXsEJk0VC+hMWNxQ7B5a4MQG6USkmadc51rkKOTmH6Bx+MTdTPnVbRt3S8Kxiwq8G+uWy1pb5Ib
OxtMUw0H2tnRGMaxbsi/HfNrFeVuKsgOis82t1py6866/vzyKxel0Tgc6H2U9igLn33fau2phkum
8CgtipuBxxKPek1vPv+iG0BdpMB5463bGhy+MB82y1+ENuWT8jFUirmn0pYzDXP5p4bTHdFEImbb
3e/KhqZXCmYiXgSyYXFAy9rZ3JSth2tKsAX2DMFZaprp2BXpj0EAULvTwMFQJ9QwaO/AoRLgHQB8
3zMASK3hsxMw10gCuxbDfsBy18wuoF5YWJLOyW6WDMEHaHuoo8oo8ChMDKyDZqUAIKrftNsxpYyq
fD2T7tWwc+DzUGUH0en7CpDFnNgEBS0tLZqP54rqoMswGA7KYgZ9Ph21ZZ3JyDLnyEWEzgiE18A5
4cAHj+eO4nAwXyG0yKSNmkhapcYt4FZ7Xz698VDWNvbk9a88pWE2T2pdxMBSF71/WGM/APSkYGes
pw8LKbzWEQVPpAVw8xhBEfgsG3Z9pLupIratEwKykQ7ps2yYu+vr6xEPwjqBE2pkELrLDhHfSyp1
p33KDAYVAOH1mszPz+tcJkCO4yGoGDCsEMnkuHT34bVv6twH8A6GeiB1I2g9sNrRSB+CsMjl27JJ
7lnten/eeZDMg+gJtUws+Ayex8xqsqpMligy1nwsV1R4EZLy1yLXUE1JciviDZg6BkANu3Wv21KB
hEUfK9ka0s/O1s9sceBzZl/UqjomnX3uKtqpXnrnNDJWGHG0BAoRD556waIeTVfFhd+j0ISQokmr
fJGtLX1vcmJymMflJgwIaz/47o9lt92Tp569qjFyT0pY5eIfB6MLT7I/PJaBsWFZNTQ1IRDMjpi1
ysRIzeMwgZPr97RK9iOyy/25j3IPhzUIrc5+T2MaP0uBhT7GPApZTkyzHRFInz4jF7Avye6rS6NF
cibrGgyCScUaBppmyRY6HVFKEsU8701oKb6p2WnZ2t4JJlcJAq8eQmuMLoDJHHJWgdGfT7fj79Wb
gLniEAyeroTsLJhvBPzRP6qMKN8MOB4Ul3AMFR00FukIQH7w4hMDp5JEgVn14S8koQcTLTwITEJI
SPCfJiaDiuvVVwocD6hrJ5pNGqvfEL9ypp8+PKt0WAEKDp43D4+iBXCwo8rqyGpZcCeEMTyZdd2d
NCrd0ogUaQx4772fvCWf/tkPpdyoycrilJSunZMn1by5VWSmxefLjVP2XQVIsRsjvMI4LgfWgzuk
+X73m4Zd8LFbysMrev8obWlhQm7c2tD4TeCKn0XDYmQOeQgrnxP+OC3Fbj3NgRtReCPQc2h+wqRS
rNK0ZK5LjcOr16SnXjgIjp5mIMUqgwcfPMuxOr5rdUcdNcYnAfQaFc+dg3Pi3hryyBGWoPVEEigx
PfC8QI3QeeriI1mhiM+smJlZB2jVciC5ch5XvVnmy1hrWXrNxROCHTlAMQC6oNQ6Xr6sD6QjC5l6
7cUf701D/h6Y9nmcBY3lg0J/JRWcmZvcNS5o4nNc8Jqmo9G0wO2d2Bmx8Ko70+raru5U0w2o2p/d
7j3kdDiATe7NQmwsENA+79Lj4DqpZjU0cU+quZTEj6JhfXpzQykmn0ULZOG2rgngVCeR1ic2l/eN
i5pg/b4JK12DjjeJFjEeCINeiF3s7SPOd09B+Irxr1T7SgidHkhn2hdiaKkpGHEsuomTDL1x3cfy
fPDYBwGVZrOg9eP7NWUW+PdVw4oXAyhWCrYyXZbgtiACv92GezZoJbFIpj1oat8qWG+pJwL7IdN8
ciplpFe52D8bc7VpqbG5iRwFkJVJSiPmC8ffsIGsGkdwHMAcxKQDY5cTQT2JyAcWVfKB9MdnZf4r
z8iZM3OydH4lC+q2IO6TXrg+DnIINGfeccMb2Q98QZ1ul8NCQqMJ7Pv+OM2b5FTLT/qZ/fM+qmmo
6aI1wHi4UO+TaEx3ovhMQgh97ObGngtX/2YmjErIDuw/9154OgG0rNfunuXvD44yxDPiLBBmHnbJ
4ZL4V8kEEwVbLj8+m9Pu9adhzCSb0oFVb2SB1j7hn3TdOcyiY94u/u6tHjURuaDJsWEIAT6E6/7W
nQ3dvV587kxOfaNHgPmuaF5p2gqLMEcHlWLNN2PMUtg4yam4lpmEqrFVrVSTldbW4M4osYMgLMJA
iqJT2BHcRXwaWLB1UUgDDTm4NT8PgExdRCUFcffafbn84rOycmpKr7uJ0ujIQNEM/BrGVp4UHsNY
K5oEmKgkx+qAI4+29SEFu68JCfMEIDDGBw2CmYIuLqyiOonpbTjTOkfSfYSIgMOeN97bEe5rVAP1
rG8FNY7LhzuuZ9abgo9jch9wQ/kMCFbhZ6wWvITsM08OpXDh72CpaxkvJMnTWomaVTDkqxpY2hxL
HMA6ihHCSQjYnkNWZPnw/eSNuJHGIhWkJpjSw4wveg0XN8z7YoNVxUiVak7zcBHWaMg9hAlw89a6
fP9Hn8gXnl+JtjqOI6iO/D2BOBaEAhYLBpV5mr17Ml7Dp2SN45Tl2sZnN2/ekE/f+1g6/ZqMz69o
STGkGAazGaTN3PcokADmW2fyPH6HItHOm1T4CXwu7jAwbZG2d3NPZqaQaXNGFhbmcuYrvJIo4w2h
1WyO51T5x9lxNafQzk6sgoJzanqeRj3ucih4oMBkNwwir8vJi/5lRkrgj/hU8QMKb5ci5dCFakVA
4ri5GM4is5VaMDXnFBv0bvGTzEc2Vi2phoVsqIeF6eQf73j0DNJ9SJ056RbNLv4z0J04awWeeadV
+c2MoXSqbddqWj9BxwFxewipUeGHKI0HejxiiFUJkQC48/r607Bf+2PYaZCkcEKLfydwj3+PTTWt
XjZf7QSWFSLJee+SLiqG5b0AeSEy0GopeP/23Q350Zs3NYPh8tKkEvbALqb09XYmg4vz8Xr5tBu+
c0LiwH6UxPi81e7Id//lt2X9xx/L1NllWflGVRYuXZLVtT1N4YKYPWiASJIXGdiWC5uaBzuAnR7d
8s5Lw+uhRTwOmEGnJ/cebMv0zISMTzTz+c81T1MANfeNF8NwA173OIuQuyXuGxoezkUOTzBXQz78
vgbm97Oy3qb9RGYydzAUPGBcZz+4jCGwUTtOqR81BxAfoNVwYeg5SlnRzNxmkwSZR6HuJm8O88gx
5ocXwaO2uZmm3Gl35cNPVuXFZ08fuf+Pc008B8aHCeaeVDYO7y0umktlR4OgZsX7S7lULKCq1dnN
gwfaBb6vac0t7ndAM5HVkwoKqB42Xn4DS60ov9nrfbkCsx7kH9K0ncmIpl5CvuEpATwAnCPEbVWq
Za2kg0N2dtry3gctjaG7cmkx0hRA/GLJHy/1tcyR7c5eguvN2CsKTIGw2pcPPnogvWpNqnMTMndm
Vi6cX5Kl5SmZ2OnI+kZF7wW5w69cWojalhLrzJ0KgRIeNqjEu7ttLaCA4ghasWYAjKeqZbNQFEK1
Fy2eiRiwlty+G+oDPv3U8tCOTW2UgzvohIEAboDATwj1oy4Y3i9pIfTuKZcsRtcjA+VAyj4o3JnF
wAxpAjJXOExoqtHcRKL2cwTQnMIwpu9NAtOD6ZXQL5yWGRddosnGiT94fLCdDfeJikLNzbLcubcm
b/+8K+fOzGlBFT+vuaAfRdBQ80XD2Bwnlc9xW+QCKgic/6xcQOD048JjfCwu1p8m40OuLXjpJkNh
B4LfXqjwnBSWx6Wu+PWdKibpdTgPo6LgTPlRG4kKLO0Ay0JYdHGEQCzOT8ry4nTI+3RzVbGtzY0t
2bx3R8ZKXVk6uyyTM9PRbEFnvPOTn0l/vydnzp+VM5cvqC2KhRfSMCNuKXCavHRFvB4EC7Sop7/0
gsjzF2VheU7OXzqrmsHMVFODjD/4+IGsre3KJ9cfytxcSNELzUIzSbSQuqKqxQ02Nlqy10JYAzA3
KymmuxBsc0S+7yprHRwVqMXQRGBWbG93tGLN4tyEpjVJGweDphLLVCEJYljM5QPjJ9nIq6EQJBUh
4hFq5mbk2tz14epO0kbTdEh3LXprOa7h/gORL909o1AyIjByHN1994Y0ZyZk8dwpmZqbsSMrw98l
e97zeBx3zpsSXhOzD4+s8bDf4rNKT6anxmRnpyY3b61JtVrS+QpAngJL6QC1sKEcB3tiaAwEFjTf
UWPK6txINIjiHJhfSD6IezgurpbTMJxQrxiWq3PD8fSK4IigMJSlrDncbeyBD1tZLlpCEVh3mlqY
G5l5ehxNdIiqUTAfchkcCiIxRl1TTUL71oEX0WyiCN2RvizM1aXZmJH7t1blX/zRH8t0pSev/4O/
J1e/+LzUIJT6PVlb35b/85/+C9m8vSpf+81fk1//j35fc5ujaooKLLtpsJRrNbxvpmBrXyscN5tj
8syz52ViPGOtK2ZjAOul87NSLYtWpZmdHZeL52a1TBZT3uy2EE7TVn4OCiVMTdVlaWFcajUIkqAx
bW7uyr3724pXaUQVkod1e9IcK8npxXG5fHVFagdQGTxGwzJpmuvHEeJiWtvkVRS8zNw/vv9RqVn5
Y5iglRC5rjGf3SxmDeNKrQzhGVzIEFI+CLVczfA7xoz6Z6FAJKkXL7Cib396S/71//jPZf7Kafny
7/yaPP/lLySVZmhFeB91tlPnTBz7jDQJbzoeV4CAoIxGRxA2mKnJSc0Bf/f+rqaimZ9D0rxQegqt
hXg71a7z6Y+Gxpal6RxZE8dHD1fSMG9hGWxaQQ44a2pjJZmfaWoqHGjzyORx7GIkro/QvOOEziqP
Z6F5bUur5zgNDEqDJuK0+UYvvz83BYWv3fC4wio37+2HQhUJjp1uaOm8qHJQCH5RRfODCfBue2tb
FwNIZ8x0OIGaaJ/elIcPduT7c2/LvU5dlhZndPJ+/Mld6dzrSvnmntx585Z879qH0mhgd0IH6u1I
u9WVtY1dWTkdqhzDbEOc0fRkU17/6gXZ7+zJWjuEH7D5h5+bqcgXX1ySuw/25Cc/vSFb2yjV3pFq
ZSCzs9NaBPbF507JzHQovJrxOsIgryxPRmcBB+fe7bvy0+/8SL77rfek9/vflKvPPh0yJ44aIJ/H
p1TW4G+8GN+1sbFhpkjYzQCGahyVw/vUcbG3N5wziUnWuj2psdS37dTBodHRnTuwiAPTHzhayBbZ
k3o1y9yQToh4nZyMyWI6Y+UX3EO7I/32vmrLOtHomfQmYFqRyNjZ0avkat+Rg5NSQ466MCg0ABoP
95nIc9fq8q2/el86PZS5wnhkmw6cJZjH+D60pbTx/tDvCH8JWlnYDOAVjHU3XcMx77x3V27d3dRS
bmdOT8u5+UnZ3dtXS2B9syVTUw159uqSVlMPRXSP2Bz2x0YWuPankTPTbCTcBD2WzPWNuFokO9Cy
Wm7+elz3pJrXrr0TzI97bn0nGnfa1EuYPmwK5t354Ib833/0v8vevU35xj/+Pbn08jVpIJPh6ar8
3n/zj6S1tSfLly9KbWpW9lrAYkpyZmVWXrjwX8jexqZMzc/J2WtPad4dzKj3fvaOlvdZWVmSF5+/
qNpYrQo38aymqMFtY1CbDasAXADsooEkeeODd+V//u//SFZOnZEXf/XL8soXn5OZmRnp9pDOuSyV
EsqOBf4YAUnPwI/kVzv/w7sP5M4bH8jmjz+V69c+kIuXLhYKLO+5KNoJCMIzrjFQA5C2tqUljXA8
FgDAW6aG8fwzmmRoOAd2xc5mJwfSKw9OTRzjwvUDN6sJ5vV+CAbnJPD9xwXpsYO8OZA9IwpDPPXC
NZn/b/+J1CeaMmPeUh+iY1BhblJ6k8bz6Kh1sZxcrF50iIbFYgzM4Ekv9ZA5oUUPynLtqWUtBgJ5
/dSlxSgkiKuOiq/EJoMsvBgblE7zmzjnDjaQ7Z22Jm+8/2BLbt/bkVOLk/LSc2d0c0TqG1wPGvvp
ZWQS7anmBfji7Xfv6HhprnoU2KijSAtA/Lp+L8zHAFdoRSGX472UAtqO4e6FPoFrlOCL5FO/KSSE
z+NuGMdtfpPMgfgD28xKiSfZ4Z/pLVWLQgqGJg9qhNXL0irta+UNDUWwXeeZV19UMwoCTEqoAB14
UrWxsiwvTERsBd/BebFY73zvZ3L7wxty/kvX5Mu/+2syNbkoonmc7XaN11Wuh7ij9H4iiRFetHZb
7n/wqcw+6Iu89IxMNCqyvDQTqf1Rg7TyTZjseGF35oT3A7W0ckqe/ZUvysMLK3L55eek1qwfbSBS
j4kDFP1C0ayNbrHQU8PFyHvSxe0i9SOWkRTujGQ70BzsPLlE/kbp0EnhhIhqQMyb5SaR9pXxfngd
lGlCVWXViNxc8XX7vMZWJHy8sEq9SRl+2c0VhUXzXCP8ZHD7QeA5zoUQHVSm3tjYkx+9eUNTz6AQ
rNZisLnA6+B4zXZg0Ry4B/Srjw9ErOLa+q7cubulnmFsyhCMcNg8fXlRcdTpKRSTzQtCmIK4DrzZ
+B3cPg2XUbMcJjfSDe9Jb23PHHMBmtDcVdpfAffFUE1M1OX82VkZHw9lwSJ+h/Jp5Dg6nhTnPvDb
9Y22rBuei9Tn2ISnJpuyOD+hdTM/qxjMXPgdN7lRlIkiDctjEXk7M+TFwV9TC7Py6r/3uuysbcmp
S2eV3u9jl+KFlPmbnXxg9jo7MIZ2YNcAm1bZtthJsJhD9DhMGeAmW5ub+l1OTnwPk2l9dU3uvPWx
NMCPunBaFk4tyeu//U2Z2a/L6YtnQ3hKq6XnAimUVWYDDtGNrmkNlK4Fzodv88sLUv/qS7L74hWZ
X1wcuROnA3DoQJHJa15ANApQtJzJ6nAd1QxRcsl5hyBQ8Hc0DSgrAPY7oeLBZmIeXhOKcaG4nOFa
7XYrPJVLAhhjzZhlAzmXXL1JtsMwoUK8yrzEPk4OnxOH43cBeHPjOwqlAI4UFANBxWhoNxASd+9t
KiY4Mx3qRXpOVRCMIFjC6YLSdnty/yHqGGD+herFcDgF8wumZkUmmjWl9kxPAXIovh+c//6NO7Lx
YE1mlufk4vlziplCAOK138FPPDuI1tB+gyDrdoPgGlCADfqyt9eR9z+8L8uLU1qVCdhv7ENyDXEb
5oyBNh9qZAJXDcRRaG0QtDBd0a/Ai4G5NRo1pSpBsB7LZD1iK1onB62ckV7CFADOoff2ExHfX/zV
r+ZckCmH4qCWAfsik9OTcvUbr8jKq1dl8fSyCpiHa6HoBezq1m5X7n98S83QMy9cVgECEwcNFWR/
/tO35Mf/7C9k+tyivPp735BnX3lBfvcf/4ey3+rI4tKi7KxvyTs/+4m6cZ/76he0IpDHisBPUlJr
rxswOZd/Gg3HQKPA60k19heB+qH+st0FoHmjBI0r0DCoKfoki7kqwxZDiJYL6zD1OwVvc5oVFgly
i23vKEk1xKtl3krFLbEaWIm3l5VFz5klIzx96tEKvo2sD2xHpImKczLhnWbPHGTPg02IGNJRaQkQ
JnghRTDw0U9urMntu+vSaoNcCeJnX2sFalVC0ED2u7K+ui63bz2QqYUl6XRBmDXcsVZRIXfl4oI0
m7iHo21UmLPv/PVP5MMfvSMXXr0mS6dP6ZyE0DuopeFqEGirazvy9s/vqpYGIYcCtnBOhVqg2bHo
R2RoeLC6KfdXd2R3t6cC7tzZGcWHQYNBlhJYQ6Du3Li5Lr3etgpseNvHx+FUg8PoYA/3L6JVvW3u
hZFX1aOHwYFmaJ73wb+H7GxfL9DO8czLz8cJi4mKHRPxTdj9bn94Xf7yf/1X8vA7H8jr//UfyOzC
XMRsINQ0eyhy97Q6sr76UF3uwKwmz07qMT/+19+Rb/3TfyX1ek3O/A/nZWFlOSNaOkCSu3lzkOFM
fxta1EQNrAy4G3bPLHg0HuuC1j0exwB09LFP+0NNisxp7w1UDdTIq1jgmj7XMejJ44JWR/wrnje7
+dCcZ9DPpVy6HLrqBbmsQvUWdbNbBWcNKXLHLi4uDl/viA0aw9RUU55/pi7Li015+9278sZbd9Qk
AiD/4OGWmma3P/pUPvrJT6W/sSH/yX/1n8q1ly/L1PTkY2kc25vbsn1jVXbevycPZid1ng8GB/P0
OFd9RAK8i6eWppRm8+bbt+S9D+9rlopL5+fVO667AcYb+Nrmlty+tSrvX99SU/7q5UUle+M5sBEg
sWUA5Ety9fKSXL6wIBsbu/I3P7kh7+51NN03Kj8tzCHdeahWE3DfJxD0fsymtIYircm3HDBXIMj4
vm+5hWIt/ZsmJRKSBa2nJ9WJuqy8cEn21rZk6cKKTE5P5Sbv17/5K7K0vCQ//JNvy4/++N/K3uqW
/Pv/2T+MwnT6zIKsfOkp5XhNTE1FMwZMbV2k5eAdYhDzYSbfZ928VyVLXCjSQ7ZGYBKWyI0u/ZAC
KBSUrUqG9xHPgjdPSaBaBLcgT77jdOEvbB5KpbCCBB0L9EVucJrWJCPGii4FYHB8Hrdxof9jUU5q
8wNRzAh/IzldYZ+Yhvw4DddE7ip4kF989pQiJ/1BwKaeubqkmTje/Lfb0vrBjnTWtqWy3wpOm8c0
j1bOnZHSH3xTrnzjZVlYWdKEeocteh+M7HEptHKlpKXkVte25dMb6/Ktb78r7Z0Nqe7ckbGFs7K1
tiX3f/pz6dxZlSu/9Zq8+to1mZvDOrBzjA/XpMQzzs5OyK++9pTSM1CyDg6CN9+6pd77Wr0q51Zm
VIjNTAOLll9Yi+llfKPnKMtaMMyAzxEM01I+ycJIv6d/50lAusMCf1k+c1pe+61vyitf+yVZurgy
hFdMTU/J8rkVTQWzt7Ejre0QyoKGSf3US8/K0plTujibE+O5RQSh+ME778pP/+V3Zebisjzz9Zfl
0tOXT6Ifi2PS/FvJIOeyVOQ/yPeNge0qkMuhvxkUq8+MSsU+s4WB+1p8EnRKhuao2Req+sI5wvtT
QN5KhUMobm1sqMDSCsXm9oZDBWMTBQ0mvC0ATJ1MACXJ6ez5vHYbP3fHMBstBFdOs0qEYKGpOSJv
mJ+7vDYEL3NXZfeO/grz9dorzyj2tfVgQy49e0Ua448fK4hrnTp3WhZOL6ppeZg5OxRU7Au8CqGE
qizMTWreq/HyvrzxF2/Kw2+/IxNf3ZUasK3BvrR2d2VhtqE4G4UVQ9dyVk+Muw3FauGphLkK/hrM
UMyN/W5PHq7vyls/v6uOheeunX4iONdRWmS6+w6i58F3HpPHE3A/qA27mg93n3IHRoIxCCU5d7pw
AuLa8wsL8vzrX5RTl8/J2WsXcxkJp+dm9DV0T1i83a6s3rkvH/3gbVnutmTl2YsKTJKv8jixYUWL
JnkjT88ggdPRAyBcUpoFJ6viRxqmmNECVE03Iin72b4UsR8IAfDCIt3AjQ2LdJCYiv7Z3d3Rv1Vj
GwQqSCitTrpCqGGZN/mdLeifv4AY6gVJpxuKZWa18fJpmIu8r8dpwYkQ0u1QqJPeUtRmgZdOT2ik
xMzc7IllYsCa0eLCh7RUsBd5XEv2twL/wMHOzcv61RX54IPbcv7KisxfOCW7507Jzv0Nefr5p5XZ
772z/veihnkC4B0vNggseBFR2m5nt62cs6tXln4hJe30ikMPlGBPHHhMaP0S0x0XZSIc0UgiLGqK
iVh61aPYyMiscPWXXpALlkCNJgXDZIoET8hh1FMz8akvPy8LV8+oM8ETZ70n73EDW4PbNg+cjlrM
XrjRPMspoEmoDc34GIrDiU4zwkiZMBHRN7GMvXskHBdze8FUQyofUAr6fZfOOmPh63U1XuM7fAAA
IABJREFUt3iI4KJpiON9toz4DOHBhtjtNCv5UoGFAF0ISEuHQvD+cRquhWcHZkML4DB2uwozOH8m
Q9rsk26HaYM5E50gekE/lIKarL9PzkzJ07/0otQmmnLhmSvSnBwPG18JZt5sDrYpup+jNHha4ZlE
7PDtOxvy/kcPlCKCcL1jM/cfs+W8hGip94+AN8wpDOheqyUVWwCpx8b/7ivkcAIWDRiO0yq3zWbM
kHlQ7BI7mbsfvEckhGIBsAZh4U6735EL1y7L0y89q4KOLGDyb3AOPpcnDD4W0JjsZn4XjX1jCzsW
tnR8KarwzBtEakIUInY+CioKYC94wWyerExGPEsxrUF4bvWcaj/01GMGCgWzOfB86iVE3TvbGNR8
1Jz9zUg/iNQLl1bGHjhSJkhdgIBS/BIAu33Gfk8X6XHj2Ni0HBbmKsrAT4dn/0U2H8Z1WBslsEtR
O7epofO1JqfOnJbTZ1d0TIDT4Zmnp6azuccKPC74Xc9zzHRI0LpOn5qRjc223Lq9oWbh/CxCnz47
8zCOop8U3Hm5YBFHiAVCoUIBwLATZe66VLFxoR+yW3ozQHf1ysHCyt8n+Tj6EJYjGoOlFXxcfBQa
I9Nxj/A0+ob7xHnw4nMpT8sIrzj+qJpfDmy2f0W7WIpJ5B43YfUTP4SgwoLHCxMFpmCs3WZMdYa8
eFY/jmPZc2owXuhzIlPjwe/wFoLSQE0L44+cZ3g/ZLsEj6ijxyDUBXiZanDQlga9fNxnuaTfQ2QD
+EwMc2G0QeqV5nOn5uCoOVHM7wkVW3AdJln8RbTcXDbBnSPwJvcf14OL6ywKnRIWjU5IxMrps2yd
PF8klFI7t3z/3LiOuxmDof+FF87In/+bd6Xd6cqVSwM5tTT9mQHxqmFRM4LJF6qtBH4ScQ+lHKAC
B7xurqgEwFjcpzKUW62s7JD3DFpCPqa2oODARML38B3mkTrOTlrkgaR5iAUKgcb7Z/UO3P9h5+Qk
Z8Ary4JFbazdkft378rc4kK8BluRuu/7I1XNPekzNQv4eSwyC60KCw9zUTGtvJeW1/HpoFnyabIf
KB+Mzic2QrMeAghhQ+oZtLS/GkUAF7wBx9DAYBrgGIbGoK+ZuRL3iXTTOgcsvi2EWIUgW81y4PL7
+3jVdNFEM7dg8yJl46AsGBzzJ5mz6kjNBJS2VMsZMdeZ/Zce1CGHmOQT47FRa1U8U7XUcAWEdGkI
lHOOKTPeAfrH1WCxYb72lUsh1Ojnd7QEHoD4yQlwBuVEGrIVA/RH4oKdHXguQT3pZhoWWdd4qFBu
3mX0dDys+KCYdM4jqClPnTbAQUm9ijiWWgzBcgqvmGD/iJMsnbBckDg/Ald5T1GDO2KNPzYIK/+9
rfVNefv/+Yl88Gc/lHNfe06e/frLcurcypEoCp7p7XlW8bgRz+cBeCVZGr1h2/J1s89hXrEepDdl
0QcQuHgWmEg0m3HOLC1OW9qglXT21ZOFyY/MEMQqO4ZfdugNhODUBTVQMDkL0g4VtkE8pWatWJsG
vDM5XEKT8U4I7z21RqGFa9z+9Ka89W9+oOk6nvrS83L5uasj+/445g7jMinwyX4/qmY9skVtKNMY
4zwYIbTi9cxU9hsWGouw8Nyp0wpNGfKxYrOVsi9IpqnfSzQ+3ziuH771rtSaDVlaWVZCNW4R7H7Q
HPATkQSgQECDvnB2TpN+IgzpSFYJohh2Owroo+BLD5Qay6gL2QtqCRocDMjcosHPvjQ06515bk0q
dIr+TheK/76PgWMnUDhRqAxRJ6zg4nG8d7wPNCxOT3dIca2jdCTu02tRWLSbaxty892PZfKpZc1i
ceRmtQb5e/hxiKNCN4UsgNn3ITMpRJNAJ2lIUOe1ZgotbgrMbBp28IEKo73d3VDmXGPYkHcrmA4w
BaHP7ELr1pjHUNCgCozLNCf2lZ4XqXks4NsLp4PSyIzKpzU8ICIP7z+Qd7/7E9CdlW83SmBxTh40
b4jL7u3sysc/eEezuS5ePC2LZ07pdzH2eJaTElp8NkYd6N+uJmE83PorjVSgVjwoKLXG59W8aiz3
RgzZAsxHOcd0Po0QWpjvt67flHf+9PtSnhiTa6+9Is+8+kI8BwQTBBZCe67fXFMTERwu/K2RAHgU
DS/C9QPxFHOLDVMYHsiw/o1eUgoFRXQtI/UUMFWMNwrmVstS1dxNA8vdVM/nx8l14gHtwN3MEEKf
fI54WEgQFzQ7YjCa51lJjpmGdhxho6TGJM/Po7TUM4cGXtfF56/K1m+uyaVXnnGJ7Ea3lJ5wEOZ1
2P34LBqgf9AJyUZOVnoNmnnoEzoY0DCpALRDYPV0siPlT0uaE031qCKuENdjGXScB8U3EAuKoFzN
juayecLkwxyKZonvhwIzpqgffM9JsjjxzCtXL0gJE3hE3xOPSzdONO8RZj6t+7fvyrf+2Z/IVmdH
Xv77X5fXfvubmqWB2vVhCRjj/RfRVtyzp/fovpwTGN7j6wuoxvMM7HhkOnDaKJ5XM96a04kKAb8b
vL5hE/Ha1qhnwzFIKfWz7/1IPvn+29I8NSOnn7k4dBzmEDyGc7NNTXyJxJuoDwnzTRNPap8jciJk
sKiUQ/JOnTsa89hX7yOCulGrAccc1NtVDMzc3NyQVjUSCD3gIf3n0fuVDEo6kCpcQFBMTYH+QKu/
FCVLO0p7HGHFPObsB+5WSLWCsKJrLz/3WPwgvYZptHH3TVJssHHy0lOnTHcjjsZJeERvlHftK960
vSXt3V3Zb+0FVZyLuhQCcqF9gcqgz15vqmY1PjGl1BBgksA6udmA+Y5NiBvP0DxxeAwr7+Q8pv65
9dcEnC6V5Mpz1+T81UD0HcWlosDid2J/9/uxMAp5WRPj47JVgwAuaTwrhDc0arzoQT1q41w5CMjW
Z6bGEdzmsW98plieL+JY9q8oVRCbj+v0OFX8zDZ/NXu18lRiOSX9jbG/e+O2vPXn35e7pXV57Suv
yqUvXDtw7cOL+MzV5cLPM9ggrCvgU0ipA1rEcdZqlR42n8CvaDfkRPQ36D/znWY9kHUCqz2PMAvY
Yf7hGBD7qALrcRsmFst/k4tEQF7V7GNoR/GciVmX2wwSvI/vsw89tpeaUENep0NMTggbBIEz9TIq
A3dabQVokUYaZl+I7IcgCqXdcDx2ST/G9K7mzJiu42SRGJuSh13lnZzZ455h1CSmoEoXG/sLcwbe
Yhbx8E1JtOPj+hni7a5/8Il8+v5H8qv/5e/Jb9TH5NSZFXXM+E3qKMx0P07+vaINCE3P7ceJOaGM
ie6fLxViJQPQwzPntUd/r0OZP+xYZviISgkrRycbH7zCdz66KYP31uXcs6fl8hVkL1mQR224ng/2
DyULQoru47QqBo8R8n4SFE2YFLtK38+BeU5YFTF2D3s4gsXY6bjb0SX+WJjCEa8PrQ8xjl7LAgkR
QowTEveHBXtUrpA3b/A7iZTRoeEmKxe29wqNWgAjr1P8oZ4LgmlrM2hYCOPotJBWBvBQRSrw7Fqa
mnB9hOJkBFJ4DCvl8LsvE6e7+yCvYfHFnF0xHKiI7lEQhlJ0TNqClzo4BoB/QCilJFHvOMJzrF6/
K3/zf/ylrP/0hkx/9ZLUGjXpvtSWSZS+ggPD1sRBzW/Ace4n8z2dG7rxI+i878zIgkiTnCBPqC7i
NwI/pxgv6AWhC6L2iom/36JCExNTk4pXDf5JW9M4nX/mymPH3eaf89HOESs/pxK9SHilP0dhEiPb
QOT2jVuyu72joQ9Lp5dHeorwHwQCE62hoyEs0nQwT6QZiRPXp3Bi0UcWMtU0uz2bAK7Q5KGnZhkx
KxwbF6lxmPC7z66Qxmny/nLcHr/4R2hX2QIwkFz5XFYf0gB7XDKYa3rhcKwuAhyDSIGSlGFOaURB
qHGHqzANjZ9LhVEQdL4UxMsV/T6qpVoDtAFoTxCyzXpNazF6TTCmrzFKxKfvfSR/863vyBvf+6FM
lOvS+vim9NdaMiE1DfeamptWLey4myzHw3sHc+NCPNeEFj2AMY9VMl45TY9CpZQ5cKKpSHKx8SWj
Fus0KI9lUaBy7qX9iQblYHFlWV78za/KOJQazXz4i2/Vg9L88qGg4aw9eChbdx7K4oXTCjaPKnPE
DhgabIsZe+vbP5T7n96Wq688p6ljcgkAk0XmVUjlh1k2ylEYzUm1OIi2s6GP1GOJnLOGP0VTdfDo
16BgxISNqjq9K7Yj6kL0FXhG5GGK2I0rmebDdpi9FH+rh2xnV4B/qqtGc/SH3g8seD2hriFoTKBP
oKYhmHJs3EhKjTJyFOUq93qBxXtLGf6+D/zvh2mrRZQHzdXF0C5nDvnadz4D7Udv/Fze/vaP1Cxc
+bWrcu7MOWnfXJep2RntB681PlIbDIdZRcGBVEAYl/JASr1soyrDTWnCiM07NLDBlU3jZdYOnpNa
es581E0xxH56jTZoyGGT9dpYUUN/Li4vyd+mViVnxg+Q/4nXzua2vPGdH8j7f/5D+fIf/ro88+Uv
yMxs8NIUgXd+YvqORUff+NF7cvftT2R2Ylo6vxwIqsdpDBUhuPgkiYHR1i/gCKmr2OUHOnYIiVPz
WfmEaT+oyjODAZ0TOUzFgdjkZoVcYVk8JHlbeq7oPu6psFq9d0/K0FoBulvlHU0/466hZF/LYY59
raGe5DBfYirjOrIBZAJLH81pjdToIkfPm2kJdlLEwRrutuE+hjYUzNxAGkaZdgjcXfOGMtRK866B
d7a1JxOVhlx79hl55de+Kl949RUFmevNpsapgiNIIVCEK6ZabPQSJsdFb5xtep7ekB435KgwU5ER
DuqFrYTqUiD0huHKY2ZxU0swTr8mc3jYZ0VPfxKxhF5lpBTm+3ub23L9x+9J+2d35d6rt+TsM5dV
YOVA4xFCz5sAcHu/9A9+Rc587Zqcv3ypsGrJqMYF7Mu4w2RLQ20et6WTyT8bFz9Jrl6AHNdr6Cc7
z8Ndj31HszR1hvhraXEKqwJDWgoZ/vgsxO6FCtXQUiGgttbW5P6duzKOzSrx2jKgmuE+ZWWxI/Uy
QPq+7G5vB9EM4B6CAMebRuPN19TBUMjPG9H3I7lYI8aL2AqjNEAaxtk3t7YiFsU5g5+XX39JM97O
zsxqzUyvDVIQj4ohLdqcfepp9gNf7A/AB36+AGTHP4wRYylpItLBFVNSm8k+qNLLmgfQIZAZC+s5
j9S4GXZF4FurNlk8aQ6W+By0WKreL4jUM4Gsnb/5j/4DufP6p3Lhhadl8dTySAntPRD8flycpYE8
+9Jz0n3uacUZDmseIwMQCvoFM4/iM82Xff++YlsAyLGDPi6+lQKk8T4ckHpgWMgjFJ1k1ekUR9Rr
IWbQcLOoXYJm0AiJ4GCuIayGBRpoXmpxVfOyanl68NJgyqkDA4RclC8P5FGfzZRsdR038GZwPcsr
r3UOteBsRdP8IjSrbgHwqWYYn8+D746TVuS08azwUS3nkXOmFho9lhDgEKLMrcXYWNBktBrOzLTO
F1bFKdJ0isbYWwv8jt/cvTBmn0SPIStn2zl8rCDWgj+Px5h8vOiQAmCphfAe0iTp5oban5awEfGe
vvG+IqVG33S42+dRYLH531GLcOXSOZldmlfvASQ02yiA3n8Oct77b7wjrZ09+aXfeE2mnXZW1IZc
9Yx5GhueSIxre9QS5Ie1uGsZj4yD7tVs34bA7iMIsLjYow1l2Q2gGXVCoQScAYIIbHMICYwBTIN2
y0JuACj3+0GQlYE7tjWzhu7eyEiqCfgQ1YBULmWpN6xAB/AQBaMtNxbHkBPZYsfCzo2oiZDdQZPR
KaaWFbzwQDF/397YkrvXb2lV8DMXzmrVpZxZ5edBaXTQ+FBfO5Oax9Pso5aIcSIQzd+ZdaTaCFkp
2Fg1h97fUXPpoHvP3R6T5TmWeZgz+NBy8+sGBDqCCSynhVFYqQC1lNZs3suH4wgdKKmXMINtcL60
nde+c5vEAeE5f9vaUBGK3E7iTKIiSoG3i0epz+jwB9fvyA/+5N/J3sMtufbK85r2+Cia0JATAP/c
TsMd0VfWOalWBO7maAfOzXyQeXPs5k4V+h+mQRbmgm7Ds2pwaKcT+De4PuICVaB1Y1VoaE6KL1Ur
mkW0vQfGejB5QAKFpw8nLlsSP1wr148aNxiwqdDf9kzKQ8scBgDkqR1EmoaVzrrzwXV580//WsaX
pqX5+78hS2dPx8U8NPeSEJaRXXTAOJP+gvFhRSIKH+bu9xWKfF+zLmRRvcOi8Rm6H1dYloLXWxvZ
82X1AlWgJamm2Xxufi8ky1bxmRqxVoky7NJbSTwnnTbQrPXORniSP3cCS4U/HnJwAHs9aan5l2ps
VH/r5TFA/CG7pVVgedQOU3xmfz+WhYdq/0QAxCRIOWIWuPdkYuS/lmgHx+Bp+e9i0ROD8WapLq4I
0gYsiaFImqJn30qRA9OqjqngAfbEuFF8J2hHofiqCrwyNhfLnU5PpJ1Pq/Yo2dFq0tsLghCmp6aS
8fm8qIWCfLu5K5sf35PdzW1NZ63J5cyHn/Kkso7OC6yoYSdercM2BQohzk+lqTh8h/w+CtnDMs8O
OQUS2MPTCNKfQTCFs+ClZr4lROQ5lMTNDLRpCI1RYQbEMC3xIeY/tEamfqY5iGN07J2ADtP0cArM
50fDshdA1lRAhWDbAJwXYS3hjeHdDxMelP65C8vKl1k+f2Z0WEUBH6SoMe0LJhx2U2BaJy2wvKDy
Hrn4+Qgu2qgJ7T8f9XwBn/DnCtqU9wyyVUuilYPW7q7q905fOKvl0EpQ72EaRI5NSIUM8ByhRTDJ
9tvBzISg6otpaEwlpIUrENwMLCR7Vpo2ypKv1WR8PBSlYA1IYFz4qeY5fi+VZHK6LGdfuCxbf/ia
xv7NnVnOZfWg8M17yPBevpArBSBDeo7TeC0KfngAkccNDRsdFjmdKEchi/qWbmZF6XF4nBfB3HD4
3NyMVHh2A98PRVN8v6jDpxs0Km5O6Pud3R2NRsCzoGFccS6Oh3oPSWFI7z2xFj4PLZb5Sh8o11kW
h3Xv9h05c+6sEslSkHFoEN3iwkQAn4Ou16IWh9NvtCnB0D7AoGDQfGXek2y5ieadEI6V7LOcsiT8
0L26fkiFce7ZcoLeAFV63hAI7s+qrPEwZm/81fflrT/+rk705//gdXnpa1+MQg616ph7XWMIG42Y
OkYDm/c7UsIOz7g7NSnCM6F4aA0JDTUpXEfTzPSrAz0H0gc3kMGiUtEQGNWgq1nOM2TAxKPQQTAz
Pytf+cZrUkHUveUUiwLIxR1qH8PkLOXTLY8co1EwhFt8mB++qEVGewibHKEEtBiD5zeilGEeLuAv
lt2PmctxTbj86f6ewfMK9x40WAguTUCAZKset+oHk1ZJsIkXckBT0ILTwc4nlhX5cDCJuyEzcOTu
ubn4/zL35r+Wndl12Hfn4c2vZpLFKg5FsgcO3W63KKclW7YGKLAgxDKCJEaAwAgSwH9A8i/kbwgC
5KcAAQwjgGMEtpRYgiy3LKndklps9UCKzSabU01vuu/d+d5grb3Xd/Y5775XA6saPq0Sq967wznf
sL+911577YWL+uVEQMC08uP9J0h7IOiOK4Y3MazDdf/zu+nP/vUfpnt/8pP0ym99M73yi2/QABmQ
aFfM2vDzQlzJzUDlubOv+L7qYqleEqN7kEa3LjQHhSIBUvA7uzsrX3PK8wndXkRnyL/3JqcwnPBe
QChdBbbnv6/o5ajPkfeWxdXEzvaFyzCOTXvNUNFD8S5DnY1eal6CRG0jbV7YNH11lxkx8qNjKZDt
cAwDRglEEGTKjg+P2C4cHha6bd/52efpb/7ge2nr5uX0wluvpEvPXeV7ZotFOtw/4Aj119dcTnlE
/SzDwoqkB0H80CadtId2UEj1Ql8dhPlgdA18bcZI5Th3A1UyXNWDT9gYPhMGtpR59jrJlZ9dPTRX
rMdVjP3S/UptgR2JivZmavqBv1uDj6JDOrTD5jV7rUJEhNAcv4UdXqL3YBwhhRxxx+iFqpJBlIYY
KUn+Jxt+rfeQJPhP8Tql6R5vNuI00/ks7R/sc4NWw8jyXx4fcC6lrB+gYyTdrge58Ni87/7ZO+n9
7/6ADP1f/if/eSZhnnuF+B4LJhrgmM7G6SiqRfSecrbMQVX/RV4k1ZAnnuARryIm5XVn1KhKZgiQ
FUS7szd+7ZssTL7y7DXXIPLW5uDeTKfOlDeDJSyD+Fe9nrZ3d9h4AoYHciAnR8fp8/c+TpPmIl1+
6dl0kRukngaHh+nd3/9LelovfeNL6fnXb5nI3yJ5T0QrpAZlooppxjV0FqlS8x5fV6U9xKai+tnZ
U1dp2uqXjECWTj4nUZPDuEpDjVPRRFgvZ4Vd8e/xucwjLSRs9DtmNJ2Kko1ceO+Ji19K6SQ7G6Kj
8LPsMICXhZvnYRUUX2OCgGPjHpcOlVVh5IMufJ5It/JY9WxPorFLyWBVT7LoZaG7zGvffDNt9NbT
ja+8nNY3yphRFaN53CsSB1cZLUwSBkQD8DADio2LLOXffPcHaefKhXzyP9xkWEbFPMmyJ6qaLHg6
+DdJsBW3Xfwp4BHhIUsZtZjJ0ffkhQtwvFZP08XUZF6AfXMh2GnLlmbbG6WFge9ERhB0CGYR0ZGG
jPU5XAp+P4Hy+Syt9Tes7GY6Ywi5c+lCuvX262nj+oV04col8qyIZ6aTdP+Dz1n8vXltN1177Sbv
ASqQklwmAVKddNRJXA1FGuVyLY4lJM9KygPlcERjyFk4I6kRge1zZ9HHV8YKB91DHVr6PmVHV91D
TAiseq/QK6/TtPkoMq8lnNiNBodnuUiturfo0rpb2NqgbHe3Z/QiP8iKVndOiZlOTeLaW7OBElRL
BSk4Uk+IZfqc6ZBNDdzbw2vK4XPUUg1XFOaMCY0vypNsVo1T9XQ08HQjfeVvvcE/8YqAYXWzFqDv
agO2apFJE2jV74UXwa0HgRTYxMMMJk7/q68+n26NT9LaxtqZOt+rTsMzy0OCkcEkkO7h/4vPgiiY
oXBISUeDF8OeiCHk+k51t6FEsWFlRuCUJwpAHSU50O1G2FCnobKFM+bnrIMc2QKmBfKn8a7GhxMa
jMO9faoc4Gfg2t187aX06te/at/BMAVF0nP++9rXX6RnduHGVZa+4LQ28q+pllpPRSsLyR5k2NR5
3CrEy5KyA0IoFfVW2Oal8pJHOBSrRGB4wo9aDhZDd3HlRL7MKhRlCDJfpTGomWGXMV/ULOTXWtD9
VmtVNZ4LqTw4kZqeGMbdm9xacwkcopaUwj/wOsyVjEXMkmpMYKykXssSLh7qBh/kPX4ORKOsvXop
iP6kvgiiXuB11Ua5T4SHtSpMXPXz0qREjtIKY/WwmYhzXf3IBn7IC5b9K998i38e9Pnx0sl9lvFS
rA8DyFo2H4MS5uEYRsZqvNyFpRGVDZ2NWXg/QlGEXPX1defsWGOHYsHaTsICRYh45E1A8B0Ax5Ec
gXFZCB9Bm7bhMB0PQDE4Tvv37hO72tjaTDu7fWJTs+kkjVAY7cY4Nazrzdd/41uZPoHw0hZlYjcc
gb24G3hq4IRZAwv7H7w+YkVe6Bu9hlNlRwr/VoSV1bnXWEXDFsmk+XVi8D8GLrOq3rOEjSEDm5t5
VPTOnDcYvTCFodkjVkebUHDPUDF5b8i2K/G6t9QCabfZ4sEUjZ3GiSTS6YSHS69jtZPWcToYq5kZ
EtybJWiQbFmkOdR/PaxvpGYu7RGhVeu5Oo74LKi3KtSWQyBdfJaEuXzRF72IOMa4VoMXr6ODw/Sj
v/x++ptvv5Pe/LW3040vvZQzhXliH8BFehIXBnuVdteDrsddqKuylPqs2TKQ+irhiYyXPKXvf+cv
04fffy9tXdhJb/69b9Jj5evclSew6puOzH2XOtbn2EJHwwg7PRHOnRwf26mFGsK2qX0iW4Tfg6KA
dubwqIDA1VyzH4vqYG8vHe0f0Lt653f/LI0+OUiXX7uebv5nX04XLl1gu3qg+rg/eW4A1uGZ9Hp9
aytP0irKfmb06qgB75w1bRrcLzZJBHfZwaWCkeZSGDyzbyoof+JqNlu532Gcy7MO1OqlEEVt3qpd
jnQJJjhdTG8HQi6FWbHuoGZBEHx4bIbb+xBwHKDCsPSyJTdeViLlonnwjOZGDcG6jgXi4rHlGtOW
jZU8aLxf3adw6TvJ1l/YPrGWd5b51TOoXAfroVmzscXvFcrJuFv9aB0FEHZfMKSLosZUz4SxZTbT
Q+3q+ArXwu9F3P0iV5kQFWqY9GW4jg8G6d3v/HX6KTJIz15MO89cKhmsxzEIj3M9SfDuQdcqYxWx
k1UywDGsM26fK1T89fvpJ//+nXTlxrPp5puv0KOJHikwLn0WTk+Fm+ZVzNNobN2LF96KiwRBpLPX
kO8rMmvwaqz2I/G0rDegwmB0BQDxWFgT/jFNq1qvlWbdelq2jZIAQ7SEMgPr3uz0Bb2h1+8Z6dLp
CjiNqby9TEyts0N00wBiuf4KWfBavJGKA14+k4UBdWK7F4KNxo5KxyeWIFhD7aIfoCGs1n/P89r5
rF5qI+Y6+EpVsiqM8r/7v34vDe4dpJtfvZVe/ebrpG+Eic9Jl9K+EAiPDZzqDI/lLQmwLnW8CaGd
5lefBa+GCrBolusZPB4Y8xmNinClmSe+5KWzxZpCUm/1Ja8IXtN4gYJo83xjqFniwS08g+mJHFwW
shZF2DRyzu0CrqY1zppVb6R7XgJspWT2I146VIqQMHgK2VvImJY9zOL+MN39ySfpaO8gXX3m7PZW
xVw/eUMWmctP6yqFZmcYZJVNkI+1AjTOmcL5Iu1evZQmX34p7Vy9yM0QMzpR3QBXru73omZhACxy
ZgtybJKi+7M2nUBXgu1YRLi3VpPfh2LlrAnPk7OReutr6aWvv5bGrwzT+vYmQ0gaCQ8R4J2hwBly
MlgbNIbSB+OCTmk8mhIDaxMnKQBifo7wLD7L3MiQMFaedo+GR57ofIHOO0W7t4KyJX6rAAAgAElE
QVSw+/D6Z8JTGPKoZ8A57HWoWLz35z9I9z76LHX63fTi176UOm6vtCNixjh70SELqdCtGlSUwlIY
BtczB9FfYDjDcO9mZAB4kXzROpj5QTN1b7Hr3grDSzf2yljn2lFkBP1gtbVo84/xjaE4G8FwLRcS
NTlkX5jnhTm2teGF4u6xq99npIesuiJ2+zhGi0bTv8sMFk+rCns7nGjd9X66duv5dGf3h2k5W6Tl
9LS2ezUN/aSNlVQjlXV4WldMY5e8rAqJEPcSJ+oUvhIm6Et/5610861XSKrc3tm2n7t3ofcK79H3
C7DEIrfvWKb6XBMvBU2cyM55wiYHtjGfcXEThG+57Iov5OkErbwsXQ7RvRuvvJhaHWT5lmRYI/QT
xgKDhX/jnshmD5rc2E5zZIWGhktAeoaLmUKHhrvZpsNHOzgNrhZAXNWCVjA/w2ksPMbriPNhE46Q
PKjR06uWkpxiktN4W3Ne1QQ+CGCHJ/nMS8+njc2NdOGZywxlz8teV9fCWVfstlx6b1gbmGoUs0e5
IhuzwgvTuh8NT5xIaoXnVe/KPGwD9Ond5u/15AbXyYwUFnrXETd1PBafCzsMT27uhhLhOe4zG33/
PZ4HXb8xT7GIfNUlekZVd/5hLoWrIiLbiqaBqp3JYUFJBzJIH37jZrr+9VfT9uXdczOAj3RDFQb4
WTeNyTo8OjzV5PVpXYV3efqKWEM8PXRC2k37wqvXuBlA1Cw8hvImKzGNg9GkHlbXZJp1OtNbIQcK
n23vE90DG96Kf1tZcQAcqoP9PTMkDA1NYXQ+W6bhZJj6tTXDu/AeyAKTaDsghaE+woZAyGaGaIxs
z8kJ7w3gOu4SApCWiQLA6u3qHZfD7wUKxznTZiFm5UCzJHEwzzJsxKAofdxI205QzZ8Rs41u/MTR
w/uQSX7QOuFh3Oul3/ynv5O5Q6vapOX5rGQ9o8dQmtdQSC1wXoC72tiJogCjUM3Siy9m1AAcXKCn
GPUEf1gMH9Yhxg6HCsZNahUW/k/SWtubcSCz6caRwHitkBbCLer7pmOE0fbI+EwcAMDKME74HDVc
ZsYTctmVCKG6j/FMeD+y+6pQWXXFREy88Ix479aWqRyzNGflIgiTAffz5q2X0rX/6b9PTXBvVvQJ
fNz49FxDpdPXmeY4udny/ClquscTMZdXxHtStkqdX3zDKYSJr1ORdPHhBTE0FrlGI8d/+8aREUSY
Jy+KdXbuhuOyLtpWV8kmpgjj3DtBwfPRwUFqIwsEb+VkyMUNT2g2X9CIghkPGRp6JgB/W22eqgwn
eyqaNXZ2UU/YoMxMp2OhB5wmdt7xkJOP6rwnzZWUEyIGaVQI+7vS7mzqsVgSx0KnbWxW4qUWGZYY
6HHtYHOqY/PFixfPFOBbdUV553PXRggPtVZi9rLqTfH10ltHPwD3MmTMZMj4zCFME2SANYL5lWfS
8LFUKEhD70qz5JmhflBt6cP3YH2h3+TYVVVbTFwZqM9SLZBQOyjFcm8alSmtFsNledzUTKO89jQN
jo5IYUCHIVN3Le+ds7BneUvVPqNySESIxVqTbJE4XJof9iWkxeVgrMZtGFc3a6m/acL8ZxmZqqv+
oGslx6nCFselRp4YoJ8L4B6Y16vAwoxBFbsn/zwDrLFSXx5Y7oJb/szI4tZrxfXBe4rTFp7RNM2c
7MdOzOzA3MpZMLWOn3jKe2Nj0xpZolj2ZOjp7AYKMo3IiLT8AnyxGkO84dHAMnzO7YH0jDWdsGp/
SswQGPaSEwC9yJiaO8WFhntQ0kCp91irF70SjXH0Ullfxzkf83X4fhmGjP0JCA9h9VnSMQ9znWms
Qhfmqg6V/ptJoKE8TTV6vDcHuyUFRHIKOx0bPUS0hXxQIfkAD9cVUhmGoznqfG7YFULw7O0Yloqf
C7eTSgOMCT4DHrPoDYiWcH9YOxhjaWbhQuYZ92/1h/U0raXU7XRpCPEsPEQOD/neza2tXBrHLLdL
QJ81jjDKUpZQR3W9Vv0alByJ60FrJhvr93/4brrx8otkr8dJOqvURoCbNp4MSKn0YMU9r3IZz/Ou
NPnKfAhAlVfzIM/scTC0Kq5SNSz6OaVJplZHqCyJhRfdUgedTDKUPnjFyBl+WH5dqY9fCM+L+8B/
64ZTOZ0ARgvqCTztVEeGrJNLmNS8JRcUG5JnEnFASY0U38NFOpulw8FRqgEvogdoCwHyMstwvwxL
p3YK2uZwcBf4WLvMRzovtK7yluIBAWxtfQsHVMO6XAfNKN1HnGMlYx6ZFPoIl0Jdrfvqs9F7PQ9O
gDHm5lbGzr07nwtkYfNB6c0m6OWAl+VeYMO9KxhzJkKYNTZMSxgv75EkY6hTGN0CryElqF7n4Y/3
yoDSMIIqsXDjxTmecQ4QUZEUOjhmuGhecM8oIm7AYTiFqcGooWM45gE0G114nzpSw0Dh/bpkzFV9
EMevagCbuHkjJNp1CpuqjLuUDHUTp8BplTLUH93jOj2/cCHH/A5xOPImOMMoZRLrGUZz5XvcyFYX
2anTwo2K0uXCKhTiYSFliRIPYSKpVjy3iFvJ9Ze0cfRg6fbTQy48NHg4hlkNrY6Mag4IK3BiWft4
ptoXOKkXLFKGusJCrnZNeBjKRLBoLSMnRnRj0MjkTluMlnGUykA2vuhT2ALXCBvPHhC0AQK3FaJx
NWyKKf3sUao6AP/nxNdl37hACtmUQatOYZyHJw0XRPCbGurwkv0QyaVHVbqDZwEjUdbWLTzaKW+f
Y89srwvsKewh3mRYKPEuZBHZB9I9J+Je6iDlTPZKobjdkyU8VPTf6drYIXyUbj3fo2fzgnN413Zo
wrNv0TAeHh5QyggH4vr6hh1urlACDz3NHY+sL9N7f/GDdOeDj9PFZ6+k195+q9QeTOU5kUQa563K
t1t1NV978yslQlemM8SNFj6kagG1+RQKaWJFZIuh3XmGZtWlpgKYKMX5JaCzkiU671oFbsuyizQn
kqJeU8I1MvZqcTi4SXZi2ekIFx7EzEz0C70HqVdXwbfify38KzzWaOjF0Nazk+s0NjlfsqxTkbq3
Z/Dym8mQ+mMAdbHpyaURJ2s+zdlFPB4NFfCPeS311npssioQfAEQvGUnr9LvOFnX1tYZLuCkFpgK
YiklbSpYT/W0jFkwPX/2oDyLqDBLf/eJLuZCnmlo+vC4OOqDrnyv+E6XN85hfzDOEZfC70RJUbgH
OsJsbpnMHCqTOW9F7iXiqvSx6CHbvDVbFvojlMN6sSx1Ue9XGH5wuOY5pLZkTXHQypvR+rf3LlIb
VRWYv2WNmOR0OEr7BwfMBm5ublFzCx4vKSqAA9ybq4fkwjt/+J303h/+RXrlm2+kG2++cqqfodaw
qCtGUjXy88NcTdbkxQ0fNJ5ztjDEprGoNYPHftlgjrmhtre3WfQa2fPV9PCDMoODo0HWNMrf7zye
fDqzEv1sXCt+J095nOBe+oGT5v79++mzzz5L88ksXb95nQCvwk9Nqq78HAEIzMC7A8tU3/Q23Pqe
yDuK2SQaKiIa0r8qNoAWGMTmeAKRjIiww14P5jnGGV2aZaxyGhzqCyRwLlhLqDIbll+w/g2vK+oZ
m2jVhbAEIG2zmbqeeZwPRwRpd3Z2My+Mi4b0hjaxqjXHWbjBHPfSs1ezqNELiGFVCdOqFBprg2Xg
NqwdrR9t/qeaPfYDmcBv3WRfcqlOxDADfkmpGAHmjjkNj445blTNYI3dkGOJLJyeVZ4k5twKnTse
fiWGZZhf8vBYJmVGXt8jhjyUM+DJ7OzuWnmWcwJxqfgbv1dGEp40a0gbTa4dyAmhaQcakFy7eo2G
ZzqZpcHJIBscPAdgEDo83lLumddfTCfTUdq99Sy95OoVcTveLwzk3HpBPsx1eoYr4v78bxV0hkFb
uqdFDSNXUhgccxPhRqPbz//G0+gBHhY+CxsV7q42o6QylC2Mn58XTsShKiS1HJa4QR4MjjiJw71B
+u6/+IM0+vGdNPgvfym9+otvpp0LuzQWyFqAVhA9r3iqR88Bkw7jKo9Nsh9VQxeZxtmD48tsU09m
lu3CosR3IZ3LxR0KSWWA4OVZ9+UCvMTfgEfAZYd2FU5g/JvpZ1+0BMY9o4RxI/7g3VY6SyiJzjN2
hWeHl8YynzpOwUJaB/MwcSqCde+ZGs7Bz7P2XzIk2ePGAReEIase+8oi8yBgt2oNRVHAp3aJkhIK
n7XmqgXceo1q80BFAJOdkQc5S0vSTTCnOFAYArKBq8bd17vTBlptkEQdm1MjVOcANurAnOw9IuwS
Y5zP08bmJo0DDCLWzYQ8NyvbkaKsPCxFWbgv6scNh6neaqZLly5RVJEZPOf9kRPYdGkc6KW5sYER
/Fvf+oX0+jfeojx3PEAyMZrZ5Q4/L3bXPgvnrF7Nx+ZTBfecG83Tr7DmRbOKcuhTDRWql9KeSJni
gSC2V0r1rqjczws+eIhcLE64jIaNHuBs7JNqXlJvrZ82Lm2nk4/vp/7WhhcMt1N9bsYE94HBZzNO
F6GLbHuNX27IkGbpZHiS6uO6M8ZN0oMLRnVtizl74mkjMnyYTQlYykjLUGss1QE66idFRriY0qQ9
MBTV5rYqBeKUBHlhSOpUZ8jj6k0leGKrer8yL7VSuFLwzaR+is0FOiEykTV4bU5wBECr+8VmwN11
Ol0y8FdhFlVvLP85Z+0om/S0M8hUWJBiglNUtP7lMShFT2a2qxR0OmboxcBHNhZhHSoJYMhA5jTi
r8ka27zMuA8wX2bsrczJsvnmvSFTKgwyd9ZxfhQ+f2Nri5iUUWECM98PQLV3k/fKLPLEkjnw+Ihn
eQYTHhi9RqwRUTVIUraDl2KDi0Xqb6yltS3ThlsVohfevlEouG7TstSJ67zrC/nQEXgm58P1hkj8
02uIaXlYxf4GZy8qFavKW8FD5IfGCaIMXODixPsoJtsB7HkISd3FXtStNkoEy+2LO+z+e//WC+nm
l0zrKxa5ArQcnlhGJSuchs/ktTDvZjg8ocGWMoFKJfI9OiAOVjl+RwlbtuCyBYQ/3Ya52DF0spKK
ApzEz4yvUs5IWabI8DhhQVTvdJefmSMexWDBW59CYxAvU6OG+r92WuRT0byhGI5FbgwLqklqNCIk
Nt10bBux6RX7aPzJ301n5Hbt7+1likRn2QmfZ7OpS16V5vNBB93Pw8OK85EFGSPFxevygCuKuU4t
NNRozixiAL0AoRrwIRgEknsbjTQ8OUydNbRda3NM9CwiecJDsudc0psCd65oseaQhB/UKLYu1oM1
wcX3LUUPwb3NYUhtryk6kFwz1g8UPJS3gkHMY++8L95f4K5FLzli1PHvsaxJGUPsAYHtD5vdbX6R
1L9Smsw0esErgUF3EfV7eiDyds7I4MXCWeJfqyry8XbnARFDCBQAbAwCl96NB/+zmrpik4sEh81j
2bxm6mx002tf+2pKXyvfTzZyLo9B3W0QHENxsibJtM+L+r1+z1K2aBBArpKnlXs8aY1XRk9rPEtz
tk+zfnLmvhe943RyawNoTHMK37NGyETpGa3Cvmg5T6Jep20pcwxdHe68Mc9N96jMrLe9WISw9bpR
WKh1lZMxdl/YiODuIPTB3wHyL6YwkDZGyoaNvCcAiKvgAWWYQLy0WFgeDig9b0wA5ZM7LA9xiaLx
fioAvBc7Q+NMc8P78YSBQva8qaFA0QaNYExjBRLvCE0j2h16P50eJH0sk7c+3TBpHgrsOUlS/DcX
opyjeze4TCe2fm18fE2QADqjx0aPx6sakLQyJQz7N/6QesBMHUqeOtyzAOmRQEGhPVvBeQYQiRR5
2LiEeeV7cwwv6mvF+StdKvvx8cFnnKVP90CDFWPIB012Bty9zgmeBSxuM6FmCIv4JJ/e4sZQk6dS
2GnPVeAv0YNY9bAKfcQa1gDlWNkNqZjowNM6yQA+TJo2ME4Sw1nOaIjhm0RSIfD0FKoamFwpx4Ew
3MZ6WlsviLX4TgDjMj7x2amf5UkFnGgscZG8SCU6NyqDZYrYzddPRZZgOH9HCpJYnObduUAb25h3
ikXiqXHWorVapEaQHe18Ky5MhpgiZ8IAFhikDIwZaTNcXPghmwfco+ZhCWao3V4a+bDRSH2wrLEO
hOdJYyp2BcqFwYXhsg0J7M6NssDawP2L3r42VckLfsJXzExmCgP1xCwMBO4n3X94qjAkm+sbbMEG
owRcCob9+Hhg4SMO3Mxmd7keXzsIIS2jNk+fffRxunv7bmq88mL2enEg4TNM799CNbWxhzNBrKiO
mtIJjR3Ix1jbgD8ADWB9TMajdO/uPfK9kAFuSviv2WJpDLLFJktuDXjheeHgZ3abBrLBML9aPhX3
lEqnlE3HHGGPYC0/7EXtSlyKr/FBOfRZwVyNCym7wuJYqHBWImVUuvQGBRzMBcH6ahErJh7GAMaB
UsMrLi0+pnJzCaSf9FqktWZujwSPiOEZJXwtfEF4ylRviWZW1ABGryaTALlp68yGqCUUXG1NTA5x
o6a39NiDHK3uN74OhMiTYzOsuGiIvape94LFFENGXJnr5a65hcC2KfgzZh9tdHHPY9QSAvjlwWFe
HO6o2XJRu+DO5zR7KIonq94NI05uzlmT6vLWzp4egb0PY83CaWSc+H0w+C1Lb6Oe0ibTgVobB3om
8NK8VEdyKmr3hXvEZlgsxp6kiMXD4BVZiK+iZx0SWEtPQoMpr0GFpktjhR8NBhxLHczkobXaaWN9
nc+DWcBa4SEyX6R7J7fp6TS7HY4NnwHeYbvF14t6AnON9cvIwZvbYp4PPrmdfv9//5fp4IefpuE/
+QfpK3//G2nn4oU0nU3SAl42ogov48LBAAOFz6BcshcyL+YG8He67QTl7tFkZP09h0PWXwJvK7Ct
umUpcdA4QRjzdnx0YjWkgGzoktug4GAnH6tS0cESo9E4y5ujdGpvb89gn4ekM5S65tDq+gaFFT92
8FcZBi7IFZMXraQZLDTtTKneKzJ2GCTjLXnRcsVY4ftlrCx78fAtnhSWEQx1r0pMZC4k1Lf5xNN4
uChZY2n1VfFZsodZK+77808+SxevXGYBKU+vVoHpRL7USvfXPwcG+lQDBV/4+EwYLXFVYklH9hSD
l1UtJM463j4PGUdJZuS0+amiwHIbo07A+AgDMWMdFT/L7a7yPceqBj+ULCxF2YaB7wj3cEKDVCpu
lxQt8bzwxhB65IWcOUbWy7DlGuI5M+hEZVxYWyUenWOCPGAkmxPUN7HhsRFZFCxs9QnQHjBHwxEK
wGvsWKPmpTKkB/cP0sc//Sjt37mXXn3ry2lz25r8DuGdtxppfXc79dbWGaID18LPdeiaA2BjL3gA
RkeSO61eJ+28cJXZ+FrPD0x3TKes5cR6N+MNIyMxv+kSHhw+H7dt44T+lDA+qDfF/odhPTkepPkM
BzMyyNYBqaSyAH6WZxl5gFGfCqGhrVmrEwSk4TI0OAATSoOOM6kal7C5xyH5NuEGiioP1wwbfDIc
0aWXOxlp9D5refK0IOVJqCkDa5tcmymrCGz4CVtxEw8PD/OCwuI770HixpfGE6v8ka7we4sgvDhT
0FoCa561dgGolKGSwcNG2btzL/3wT7+Xfvbvf5he+HtvpFe+8dW0e+kCAU3dd9zQOWsUyLF6jbyq
6jNE3CjXqEX9bpVY+MbW56mYNfLPtFn5/WJE+3cyu+ha8MwsqWV5YHDrPqInWA2nqt/FMZ3PuTFQ
PA38A5ywpdRRYWi8+JYEWDCsPWyhccXc1MtM9ghsK8GSW6z5z1biHWEeo1EVnqSMFAUJg4Tvo1w5
EgHHDeEe0/OOv7jjhaqC2x9+nL73b/44nfz0XtrdRe+BLo039gA8T3hWa0zsNPn6ccCGYuZZY2J9
JGem/tpqpC//4lvpuVs30+alLXbjFuUEYL4MtgB7o0U00miEvTw2QUCo025scM6Gx0gomax2q9ux
fcr1NmcISA/Zs9JGq6ilGvtwwpczT4qhsONnCE0XS2TFnZOJpBNqFsdjOjX4vZ6VyhCu4xaz4g+6
mognBaBl4iFAt1phCVUDRW5QSSvLBteyF84c95vH54H9jVjXsAURMMuoO+N+/x7V5bEFk3eurS4a
eSfCz8RXUrgkg0ExfYSJiP1RTIoJGp6krZ2dXGIRU9S5d1s9pbuf3Un/8Q/+OH36e3+dWs9tpee/
8lL+/ryZ/T4icKzrVFarUp+YQedYMMuwa74y61ni+cSmAP67EtBMQqE0uuzzYECIW/FgsfBNfK5I
CYjs8viZ1VIa/Vzpb1X5E3uhB2dZKS1ak1O2IBVhA5MALmAnwxnD6UgZiGN5Fh61CqsSMKxDUe3Y
onHHJeOr90eYIf/Mvd3obRgvzcIddjYCXWECwHqSlji0J3M/TO07cZm2etG4BMaExexT84AU9lM2
iMbK6ATw9sluXyzSztUL6ZkXnqNnpD0Ag4iQDrhs36MdhcnYy/CgqDILmg3IrIBgBoM0GVkiSZnI
ZtM8Zo4VMtZU/0BBsmGG2Oelwx4G03lZmCR8vuAZ3O8xpJEJyxg1Q9lIUx0pMHAllapzsepqwqsC
GEoDMx4z1jxGxX6nnbqYcGdcwwjBuCmEYK87x69gmQn++YQQXHO9cZ6gHsdbNblt6bg4cEojNJK+
Nd4PUqQyctFYaIFaqtwmkRpZPVf+9BAB8TJOj+baOksLjvb3eRpx43rcrAyftNWzIgIWTqOW5s/2
0qWXniFXS6/j6RczZgHLCxarnM6t9OQTZlYyThVDJvwLm181hpldX+lnmFnD+kxvSIqXUeq41XFv
wPEu3xhKcsQ6LhnBXDNYyYhmbC2oC1gnmrY1MPBDiJLK8PBG4zSejbg2CPJiTp0WgE2KDWV1jKGl
VBzKWOHwkMTjeAke0IkuuZa8ATxcjEYZHrtCKz23EhfYL1IVMC4Tqs8RktnvL964mr7+X/zddP+z
u+nqy9dNBNGTPHX3FuEZMZMOMJ7scrs3JGCMcGuJEFJqoJBwcMB7aoArRaoMNNGg4tBO8/mSdX7D
4yHXdb+PRI8XSjfa1O83InM7rW1u8N6BH6FnJbwmGhKEcUhA+bMr6wrJGawb7nGQYL3ZCUYf3rIO
VcwtEk74/qPDAxY/475h9C7euJD5fT7AVqbkQDvgIKpG4HPrdZb/nGuwROtnrOyTgmLLulvJPe8y
SwzEjVKjaVkBoDiHBwdciFhwueqcJ+7YRLdAC6BmE8igx7bZPctmGb8Fs0iMq90aI8t4985dsmzl
KgqrwIDK+OGedjZ3cg2jBOBo3QcDnuYwfHjBSQvWHwsW5SamXimsZLZwiVrPDL74pVvpv/uf/1na
u38/XX/+Ou8pL073LE/VSK4iWwY1hqpnIi8xh6TewzB6G5lRHbSlYlbKvqjAvqJcrsI71ZqJKR1P
s+xd6XPdVY/eRsabVmiBy5OzcguAtfM0ODxKWzvb5pl7NrNagsPP9nAGuMlashDJXfb83bFovIp9
PuqlZFIE4UWlYRZMXEHHFqGXn9cEhBQbJmCn8Y/efWNuaqq4YICuXb+Wbt560RqCcIwt/U8hPv/O
+fFxfkYzpKPU7kHKpZNaNSRZZunu3bvc+ADmsY430GRkPkt37t6lMuhm2+prD/YPqFEFvBWGhxk8
8KwcxGfda79HDG0AriC0rnwto7QH4S3VRUH69ddTzLGWGJUotBZdyYisNlgwRtLYwsNAGXXv3j2O
DdQaBBOZZM3puQPkhD8YAxjS6j6qXk2VtczBU0Y41u2mZ68/Z9rj3Gi2cag8uL5mVHxsfNcrEueJ
VH6Wcpjrh5tYzKbpEK6n87SIo9Brc+4QrDjLFrzHGgfFmhyQtIgiS4roW/bjaHCUq73xb5W/RKoE
N2ernba2ts3tRikEQdgRMztLcLC6IO055uKnNz5L3gQMIcKW9U0jkf7k3b9J3//2X6RP/ubDtHHj
Uvrt/+Z3rOYwDKQ8KYV1qqU7FWIFkmEMd1i3WSmQ5sZAO3jvfJIpAI7ZKISOjR1k+HDlKv7gAcYQ
rwqu68BRqUUpBK2EZAJZxeQXN4un8GSWEg4fB9sjkK7wCpvKKDEjzhfLT/wwq47B07p00itTFTPE
LCFpejIkhKuZb4Q14x2v4SlCfwyGhRgQVDIPDrIUMZ0AadXX6/Sc2gLVEb1MpywBY6IIY+iqrlub
W+nShYt2sLmhaLF+sEldqiUIoMcDHhKk37TRZgsKsFbnifE9OthP927fTndu3/HQrEniMsa5i2L1
Zj3NIIMM7JiZfeypRAOIyITryJMo1nfSemGa/LTp6GF4YA9wYMF4Yr/Tc/MMqrH0z59HRRCoXzRh
QKt1/OSDj9K3/8/fTTf+9mupv7ORmkwnt2A8WrSS5FIE4JgnITSpanOLf0Eug7s3MzF8DMzEiYMQ
4sckYlJgDJBNEW9IACLCBtw7DAK+SwBs1Bui4gB4SoOBtTJiH78CA1GBL+89qCpa/AtX2FjgVtSJ
guyh0xkM/M3hCO7FS1L0M1yRwwMP8mfvf5g++vMfp4//6v1U+3gz/fpv/2ZmKWuhyzAoLIteShXE
rhqAGHpVvbZVZVMySKcwpVAUXlITcAOHjXF4cEiP+cKli6e8qehBrXqG0mYXrUPqFE3LFLIxK+fK
7xUsfeks1Y2GICIuF7m/zpCQ5UPjVk/qiiU9UlaAZ6I6OXnColooMaMSLTNwHuJ5gxAaJpR9dXv8
GTZ4K2fazNBjLlAdANyL9BOHU9RMFr8jRSQkCRreJAQSLwd7++nw8AhtI7lXev21jKux9KqOMA/G
0UNtUGZmy7RktriWWtjnLWBoBjlQFBDGEM0rnBy7tmaCmXQokL0PU2HqpkXjXISY4HJxTj3RlQmm
/plnKbXc+fTz9NH7P2UWFJUnknmGx/fJ+x+mj//oB2nRSKl7aRMYljU/FJGSBLXJhBZcoCg2MgZ9
iDICuIhUQTQAF7G7wi/yMEg8NM0ehpgQFQPgjp9hYHgSGPCKEJAPIuAaeJTdygYAACAASURBVEut
4HJpYcvIKJsmLCcvIia9zFiY5IUAXSsEhsXHhGzv7GbOmDrRaOOhF58Kg63+bs6UM+rfICSHFlBU
PL2yRiN9JgDsxa+4sndVmajSv4MdqH5mxLZKxs3BbTwTnuPg3n4a7B+mrYs7zEBFz0lGD2N1+2ef
pfe/+4M0+Hw/vfIrX0vXbjzL+YiZ0rNq8lYZ15zowAKvgZpgfCtjUxvLnx4gjBUUJydDA5DHYPob
oAzqg2V752np0ss+dYq9zy3LeVJXNvze3izjgS4jDCNGhQKq8/r4+toVEF/D2pXks2NAMnh4Dhh0
YjVOuwAWlefSAWn8i4XqKKthIf04l28tYBgnaIM2SNPhMJ0cHXEBISRDEbq+Sx4yjAfnwUN9RjQu
j8x786wns9B17/LNrKdBIx1XIra1WuiSFM1hw2HGsL3GyEPlYOTb0aEIdJLKXMIL/OSHH6Tv/N9/
kDau7aZv/eNfN7jHNdp2L19ML739lXTh1Rups9lPTbidUjHEBWM0ODqkSxtDArq2yLaMRu5ytjkY
n3/yeTr65F66cvO5VH+2YS2JKL06ZWYRLN3pCKxnKwmBggDUHKxezk4qXdX0Ngza4HiQU/NYRHAT
JTfDgVMI4Vklkt58AeG+GbbUG6m3ve2NRRMxCxjBGgp0/TtjNgcGD3gDAERsqpuvvpiev/VCGg3H
DIvRVEK1bvrunNVzHaxVG+KUTpS82IpOV8z+Za5ZJbPFU7HVZHboZz94P737Z99Pz735Unr97a+n
7pqNj4y6FvD92/fST777ozT44E7affWZdPX6M6e8Pn1/vFZhWsz0uKAgqSxkVi+opwXJFLUew9pi
Gr/e4Jo6OTzM8iioabQw1Jnz2VCFKf0CnhYVLjyzDeLvqs8oNluBc+UscHiN5iN7zM4fo5GHR+PF
v5hVM3hW1oVrUSvmGB5Re2n3ormBAaIstUMFAOORLMHHUVkUCYAgJ3z/7udpQi4Y5JLQ6Bbgu3EO
sSZgCPEx9+/eTfv375OiUMeBgiiqYZQX1BdqFcoAw8mwrzEIIk2cEsRMvz+/Qulel6EpXkYs8ug4
Hd3ZT2sXNuntsW7VnQ42diXR9DR1Afc9PDhOg4/u0nD24ZW6IWMviS/fSusXt9ltyio0wI3wjS6D
hPiV3Ct3N+2QqzEzAGvOjimIcw8H6Tv/9o/TJ//vO+nlX/1aevlbr6eNjfU0ZoZgmpodw6bA7iXD
2ktCzPoWmt8xZa9sFwes4SUrLTMAEtqzNkSBwBkWYgSnqfeDTcRC0655TdCUZmYKXqVrly+BMZhV
x0fhnpCNUbjIDMua4VmZopAdpBAuVYDhSFUo4T8h1BPPKILgMQTLapuxFbroFamWjvaO0ud/9UH6
+N++Q0/31be+QoOlTKNY8nj/xWcvp2e//nK6e2EtXXnxOWaH4oEkD7aKW1WTCuZVzCw0AlgrT3hm
ZVoAilnhwAVqOFwtjZhGN4kSCynB/QGhGIefhQ2hdMu9K53tcVwf9oKm051PPuf93nj1xVJReTQ+
saA9z5V7dvhOpeTlGYv/p6YcCGEsa1pkkEmi9IJl8Y2w1kjZgafDJg/W0IFej8vvSF3jZGhGH/sQ
Ge/RMXAm7E8rWsaapdLI1lba3N1lZLF3f4+eIGRl0GTk3p3bSF9aprhtyiFc22g04WE99j+SUFzb
Y/fGEdKDCuT6Z3ZYqjlG0ZKtNrd5Qnj6/T/9y/SD/+dP0tv/9a+n177xOiWaMIa4V0g5aT3GPp4a
u+e//kqa9mtM1qzvbHGccI/gZ+K6dOVyxgGb6C+Hbr8q0CQg2GpzkOCSgdcBPsZ8tkh9d4lxGjCh
swBnqpUW9ZROTgbp8GAPgheptkDZyVrqrPWZucPDwfXHQIK+oJsWnqFJjKllnkBeO4dFAKMj1VHh
UXK/q0aPi8oF1mSYCEAeHhGTwpYYT0ZpeDLw8iHLZK5vbJoCAZQXjo/TbDxN/Y11/j5iPNo8Vb11
kwo+W9dJz1alCYhKIcJsFTOK9AWC6sRIbGPsXNlNN3/59VS73EvXX30x9db7p4yMAPlLV6+kt3/j
l2k0YNQk8xE3qjyJWAokakA0uIslOD7TtA+mNg0ixtwOBOo8bViNGEpBcJq3NzqpsbOTRg4Gc/O6
MJ20s2xReZW2DbJ/YXqs63u//6fpe//q26mPbNo/++106/XX+L2GzRahDDcQZbqKxED1oIlG7BRh
1zN9ZKRDrUHepUv14A8rAbpd08jytl2IPqCMsLGzZUD/ApQgo1RQBwuhHhJMpGKAyzanzrrhZ7W0
tr6Zti9cINAOY3V4fy+N2sfp+HBg5TqAbpoN41P1TEIbIbl4ZOrOPR2N05FHTtifLMHxTjxK7Oi/
lGTq95kVxnJn8fbRSfr0rz9I0x/fS3c/+DQNXn2Bxof6706cBQUJmLS8UhhiaaRdefZaunjlUtZf
w6UaQ0kyaV02//n/8r+lS688m67cuMasGH44nFhZw2LRpUdF4K1nZD/e4PDEOmjs7aebr76Qtjc2
0ublbVp73hDo/0jPtrupv7GVsxMGptlNavOrLi6GPAJfdaM6tcSmN8VLY97qnrTZdUKLgoDPx2vg
HSIsxSYBx+XkaJBG9KrgkdmJiJ576s0H7AqTNhwPmQHCs0GFIW5y27hFqGBZlIIIKmNxyoCF+14F
yBcG0OrIysarAIqpI9TppOu3bqSLz1zmiasEwirPiIcCOGUVw6uLYW4jGv6sLVhSmRXGyB55LmEC
g2Xf0Up3Pr9NXtBybuONTYAxbrUQRtScKd7IQo82/8po2kOWJEoeszHv1tXdtPXS5dSsNdLm7lbJ
+AgE1hhERn1p7AKGVmoCi3lAKLWwLCDpEigkhsfJ+bWEjpU92Vwjg4a1R5zVPQauzdHIvLQlejI2
UrPfN+qDa+9bcwZjlOOCkWsxS9lGmofG4HB/36pFPPM4PB6w6apVTGjeirVjXZec45cMe4IB42u9
jZy6lAPzwgPTI3N6jI2NEU2vPXct/eJv/Ur68MZz6fm3XiGXiniwe+3aM2Ik4O+gMKB2USU6q6pb
Iu8wG8z3f/e7aX//fmr1mmkdbbxI/FswzYkTlFX3BGPh7RixFC4/sBM8GCwjQGlmDVjouEz9focW
FmlTk68wEBOLOuNWlcWx6oLBgHej050GZGTSGjFVSiylVhit6OrnkhP/GeViWGVuxZ247GQEsSOl
8clJZurSX5rADQbA7YPqYUIM6zI+5aFMFY+K96QFX83uEW9SKY7wqxU4mS2cMraIxYZTTyn0U3SF
qMYaM5Alxn0ZoIenLSUGGJP1LZNajoaYCzIaVJy4a4u0vTPNJSPMBLea9BJAJ2E638uwxIk6hZlV
qwbOuB4UKl5/5UUacQBhKBIuGb7KW05lZb2AvYo76l5Z5EtmrnumytySn2aCeySC+u9sXoCxGHmS
Rt89DCmyxvWq9cusHQ/AOqEReLC4H+wtRD/I1IkUvQkqT6/HMBMyNjA0qgk0orCpaEg5VKE3S7a8
wB33b3NblG2JbyWdN+GCyDLi3gD9XLx+OXW2erwHleDk9e2S41K0gAf5MCVSMni4zIDPUvPi81fT
1qVd61fmadcGChod5bfOv7WgFT6mscIgiAdFwhuBewNR2el429VC3UjhMnXEMzSL8jopPAxZXjGB
WVXu/dqyBvQZ4YLCGFlolaS0wDup11N/DZNt4DFoDy0fHPJgnHrBjGYH5FMUKMM7WD3Aq7yjB105
XHOVSHXIwZU9rxUNGZi2DtLKVR2pCNDHkDCOVSnM4V9sqg2gWDIchvcMEiDDB4QK6/1Ur5tXu+oz
iEey2WZK/fUNprgt61zPCpvzxZIdfNQ043GA9Ee5Lly+yD9nXWfqcC3L1QbVAyorxcbKC+/obI0+
jGZjWUDsUpsDPDfpCniPGxO8DkZVaxWbEh4ov7/pmXBhmcl7RSJ5tbmReutrhhEdDaySAGzzFoTx
wG2z6gFltAvyLsIuGEbTfrcQ1w9JaJm5/jz5VmxrbxLI3HNOUzFVUs569hTx/s3trazKSylsgNB+
ZWdiKn04w/AEhZwpK+WXQsPmV//pr6TLVy/T1cv1PB67NkPNEyy4PBVdME4zqCqioBLF02DUdk3+
lgWZUKN0wyLuSmXFFM0KYgmLu+EqgZCxYtNXt97AxvJp7x1HdHqKGxRrwPDZlB+G2iHoF+4ZsEbL
vxTcMXiQ8/qC8ht4HsT/aKFVxdf4Pd7Mc1UWSQt5VV2h8DWlh3FFJnmkDuSaQfe+dOrY5iiMkIx4
BPzjfQivwT1rs+VW8X4f5NyBrQ6uFjTHZ+hNZ3WdxHyCbEjOqKpdOopcvYSLjT5IqjRtNITavF96
DIXHvPLg+gLXE/k8GXXvrFyVUzp1+c+1IcFfot0nKG+bUocny99G0Nu3lD0L0WuWmRR2h2w1tbRc
TQMOgtQ0ZkFYgPQVKCzs2/heuXqFn2cwytK9WZTMGMwj7hcMGH5uFS7WRVzZScy92SGTvTF74NlM
zB09MMw39Oq9K497f7x9YLHLGeXFqQjiazobS98L+Lfkc1TFoaYvq+a0lFS7+dIL9jCuqMCN7Ixl
aj/P5nQx9+7dp8FADC4wu9Zsspi4jVpAgmgQ6fMWR7S6KAA19m9COU/dhPi16WRkqrV4GeAMFyw9
gFwYmwIMNLzD7KB7g2FNUZ6X3XG9eYWzeAE449kYGiKR0O2mXsf0rtjSmwzuVtoCFQJ1bmKRqxas
tF6LSdDmjdgUF551yMwTYKdmYQBwUbPIG1KKuCpjLsMu7CRjaKEYXEA5yY4BHDZD5JlFz2rpWYr7
L3TNWCR+fJymE2RJkbOupV7TSickGxNdeQHzKLZFomZzc8OVOiakMUBaBIcWwhd0C1ZxboQCHrfc
Jl6iCOC/jyIIxzkRAB88/Gq4Im/s1L1qrD18J97aNuM/Yi2oFFvRZxCMeBCuAUSHlnLuoekDrTZv
3eaTIgCJCiqDg8O0mMyYzGJTCyhgnJyYKoOvm7V1K+HBXLABRrNJzPmnP/oJCZqXb1xL1565Zk8a
YBniZfDkXdKGZT1I1KMOOAP0ZpSp34/DzI2wRohYNZ4tZLarkA8FJDdDuZ2r0QKQ393dXTmneT/A
uIEz0W53i9MdSp3HJ+RtwEoj3WoM9MRMAwufm9aqB0aq4aemKAF2cxSfSM1mHfUEtnGDRk5pvqP8
igqJgxFQLC+R+uzFUD/bOtSw+QVO7bCZlHmT56I4Wsz6XC6BE6tt7YqEW4FdD/Dd6uF88AK4rj8y
KrpvZSvzIg81eNGTiql0hqSYsKMBpVkgDx3Lb8SczkB+SETm+4jAOUON4t/Ra9NzUEjav5+YmE73
yTjt379nXXYaTeKPXWwOEnwLTa+Y5cxlLRjvNk5KeK52qoKc2N+wZ91EuYWnz2Mh8ynj8Qh9K+Pr
fvCd76Xv/X//Id157+PUfW6XGOo3fvXvpOdffXE1/8c7y2h8dE+rSoNOhdBhfnXPkQaREwWoQez3
PXFhh/hkMvNGJ4ZzUSGUSSPjNKFzNj4Ma5sE7WaLITVY3wkhdc9wIpNKBol7wtBwA/iVG2rTxRqn
Tz/+mMYGhurzb7+bDt77PN2/9Vna+IfrpU5Q2XMPJVsy+uzH4MqllpmvGQ+T2T+rLLHxgxdpJUHW
LswSKSXvqjp/boRUbwogHj+j3pbvTzknuTY2nkYkASLUgnHyMA8WHm+Qa8n25O0WTwnyZ+p1cpYY
QuLUQHxMQ6OQKGRZdONBE17eQTVbpmaVkkTWAoI1Fr2BZUKsu6ql2XhCchoGLGJNkbmdtacWRo1A
LJ7bXBG/MlCexZyhg7HvjtJCjpPAk4Js/rJnI08m400OmlulhHPCXJIE6WbLshZqqhknkVGPxcCV
DZuNYIUNH72+PL5e4Js3nWdkQWvBxsAYqCECS23mC+JYqrqPBkufMXMOF54DFBRtSJF1gV3JO3sa
2BU29d7t++mT9z5K859+lHa3d1jEfu2F504ZLGX/tGE01vG+NKfCEnMDlLMuvH9pVBcduDxkW8X6
bjbBJDexwiw6SeKpFdeD5qNMnrHTrShZ0jIthnIIt6zIGJ4w7u3CxYsMw9HkA3sXnwMWPDAp8B1h
g2cb9bR8pp92n7+cNcm0XjgO1CXzxI88RcpQW4hr2u3iAWoPWESmfUVGfpjj/OecA0hRiBQzFCko
eaRaT3iMzJrzC0PNlDIV+JmIf9RrdyYvrKaKmFcBZcVNisx/Guwt5tj+nVu0V4wArphuzpnChRVl
ggsi9QdTm/D2W5W+hKJFcCBdCB+yxMbEVhbRNrEoE2d6ALnZJ07BAh/j8/jCjqGYnkfsdyuOFR3C
wwWWShiJ0poO+MIXJyl4oCUHtdI1p5QlzbWgZXHBuEg1B3D/YawQ+uMZAJrj9+yeAiPOJgaGC+r5
FEblA4Fp91k6ggzuIvHUt3ozG4diIT8gM/SY4eGV68+kN3/lF9KzL1xPJwPjEu5cvpDZ5qe+JxSF
R6OejXkgCD/UPWXqWOF15cyvf0+R9TJRAZI3RSAWjIC5dyULimh6yy6jONTIfRQcoi46a+t9RkVH
B4dUIGUEQd12w6NBM7j62vNpdGOUdi7u5hK8mMzRIilUKyAEafueOJfPXcYw3atWxpNr41QnnYeb
O42LiMvSp8efamE6JZJlrLiwPHUPMpqFJmZJF37yZ4A7pMbFFYo4jmU8CkOkL9V/s2rBiiruWLRb
9VZ4io9G5PaAFxU9MvMonMTI+3DNIpeNsc/AgFj9FEX2qSk0YxkRTjCrhpfwbDmLqboyuquuk43P
y0qWCityxgkSsZ5BkofjhwNey8arC3N/8fkqH+Fi9wxV9fSPafccimirVDS15B1kbli1PZW/nvI/
JIAuUm99nVUBDDe06OERkK92WvFTzG8WtkN9YXBMLlYT4G7XZFeWDSf5PsWs4LMvPp+u3XyuaAIx
m5VULk9dgZ6itS8jwwPc6QrRK61ep8a6EjrmhE/sDBTKv3SgIxuXpYVIszHRPhwiOnDg7SwQGaCf
IRNhEtWzwxaCfvDW+OnesUeHCdWEn+9lTKh0376GSDlim3rccxSqtHsl187lldkTgPwu+53GM/L0
HteLVkhYvRQJ0mCpSl0ETBHhSFZzqV4+vIo+q8bHf6a4k9XdLacTBBLeqSyY8J/oilfSzCKdEW+Y
mJaQAYzmfkqjBy9HOhcGi4xi8kms1bcsuLHrTRFC5QiUQHFF1Sz3XK0l0/9cyA3enDpHW9lPr4R3
yXVWggI4gyU1GqndtZMKpRLIFtTm7tG6HlRWTFDmrsLZipcOCB0W0fjHRSPOUOaNwfBCusc9MivI
TUxLA7caouIB4aGPNYDiJoTr3KDyf17kTU/MuXns+uwZMDZfAL8nZG9Lh1OmrT05I2a4mdW5Pix3
S8KM1kOw4Npl1YjijXl+YyY4Z3ylSRYPjQJsTFMcit7AhEbeBQXwxygApvzJgmcX0mTYWF8S82JR
8XSaPvzgp1bozPIoK9bHeuRh0yvE9liSg/2KwxfrQ/0AQW71Q1eNW1HgCGwM5G6jGrgIgPO2SIC1
x/AkQlEyRs/bM+8aC+3vJ6Ghr0vrpAnjIk5TPEHjpChbVapnC22V4gfmcCT0A1QIodZD+ky9J4cp
jm9l3IcrItxwLnEA8dBi6+XSNHiQJqWeELCYowEHHPV/bRq2IvNGg9SxGj8ZMt6jCJcrRMYidsR4
u+vdrdVAwY2cxsPUKWdUveDpd3LMRYD7AZZjXZzbPBEBuIN3Yx1eekXjNS97qGassmfrp7aMlklQ
ny6Wtkamji9Sy2xGSgjnlE0+7V7xHmqCJTutlQIHR6jd6zNDG0XYZCQRYuNQwDPi80DQJInV76uE
WQV8wDrWP10e1llX9IQyVFBxoXRYVEH5PPbhEJZCZ6am+DqB56QDFa8xFVxTT8AJAZwYhgKfgyJ/
8g291g/3hDWBcA58KspND5HVntPzEoNcksZIlg2RLPGoCNAD1poEOuE1GRZVS2trfZap4bsAq7Qa
1tRUCiYmM9Ux8jgOK1dYobR26CvI0NL3lZyafEg9wQzwKcVRStQuzPIrDMknhZ8smrzoMWX5kNDA
IN+0e09VDlJMyfNHK7yHjG2BkRs8MNbPNeqpByAOkwgpZuhVj8ep3+0SRB+gseccJDZTvWTjdmca
Z0G7EpGujOucmdFw40C+WjhJ7LGcmuBdf22BmK45q/CZ0gZHxdx7kua8dhNYGsev1yMAzy7M2cAa
vyWG37hkCOLYgZCrZyHJ12V9cFCMjo8J6NfqxmDHxmEXI09A4GnJik4pHeztWUaKypN9EoCRqlZK
O9cYIjHDbI49L3BOyQfDA6h7yUdyET8lD2TQ8ZyYx6cZJp51lTLVDpZH70k1mxFbRSXFKeMW1rNe
rzkxIcOJaV5BJ8pFLFnmErTLpc0+gP45ypj6fVPqVQ3sZJoB5wU8+k6XqqEbW+jYg9IcUw3Fd8P4
1cS2b7ZM7tjbqTWcV8a/Y321Wlb3uZinvntDIP5SsXRhWvw5g6d+hzMTHyhoC2UMG39Xqzrh4E/6
asYaMn1pnAzjGbrsRZXhzCRHcYqWeBc5PCoWQqYthDZO1SvSFkrV8cEgchMSp/DmBiCXYmIHpg9N
li8GFS4pT0BvHe73evf2nfThO+8xA3r9Sy+wKLjk5VWvDEkVoVB+Js9kxomj0cKmdXeZ/deQafPY
n01ZodPtip2gUFCv+2RI5QO8vr62ljGNEqk2eFnZuFaAYXl62DTohwc8BEXc1sgGbGYYKmuQYIW1
hlvQUx0iGYF7NUUNVuXXLNSj14eN6Zw9PetS4TTkbsDf8ZrCaqkUPE7WdHqtWgUlfCxqwxe9Mkzh
61t41lmQRTRWGWrw9RqxK2b22IQDjUvnNATUoRK1Bul6YlfL1CVNoEfiJqgJyMhz8+Pgy4kkG0M2
8Dg5diZ7g14QD2a2sLPkCA+speFipTHGx3hdIxuTUPrbutrgeywstHmhYEHDqBhNQROOd8mpEZs9
RgBxXT6NOWxmZnRc+BVeFBcqTpiAq8hY2Y3bCa0bzidqGKgsoyJmewi9lFGzJqLAwVTrZF6V3G4z
TJN0ko7NcPE4mXMjDMeocrcuINSXJ9Pa8DcZNZHQPv3w4/SX//rbVDhsrXVosM5NvRY8gpwwyKqT
C9dId70u6oHRCFgnIHhJoEl03PRQb+zwkCcrPBToZ5OmAdG7k2MrbEX7epz0bvhYXlEUxWThuKpH
qLmwDWSy1jMQQLFIvX4TWBlOZs2HvE/KCqEjr2REHAIwDG7qjUwLLhpVNkGOREg7shZSljmdeafn
QmRR8snIQrIhAp671wvrpazQoDUUnrh0eGVY4TEoErEcJ3LaVOeWvda4D/SSUOwug8Z1gLa1LKYu
jDNFJLEmaMghAW3scvAFYcwJmTStOYQadgAXpaHyMFL8I3rCCO1mFp5RpimLWBpMIrzIsnemhKID
Wtio7T+bXyopdLoWFbhHDozSPExbP9hfVlIldRDs24KeY7ztcsSSaS+roJUncDUzUJgntPKXwC2K
P4sZgaI5QsCeqiCrrG8oR+HXiK7gJQm5ZgiNJmYzEwoLBZzMhvRNKI5yGSfjdHI4MAkPUi3M3aWe
NDwIL2yWV0Ii2nCcWvN6as5raTH10OUhrwiEW/hn3hW7C83QCvw4y0Jn8J2hXT3zxo6PDpmV6fbQ
rrxpBalOgsWK0KJFjSP4NtAWovvPz8xodUFZ0KHvWSCMH7JJ4+GJZVQ3wFS3jtfOBMsGCYsfnh1B
XniLCyPrwdjSmPb7Xl5ic2DCfeadYaNAZ/8ECQjUh0EHf2MjzzUOHpPDgeGcpsO9PRpb8omwCT07
LWxFV67ql3xPXnbLPFa5S1NoWf9YRiuQPXXfKnPKmmsiRzpNQdnEzCEMh4e8GqXk0XUmwg6xaxDW
qgB7hI14H7yx0dJhgtwzEobJbhfrGtLk7LaDQ5uhqKgFwjNnBOWV8bREGuAKC92LXpCz1EjN1IZ6
CdbAGKVV/p2h96QSchIAwBqBUxAZ7ZHScB4x+Itexvu3qeL/58lQwUy0Sa3ZgL1aizq3eCcQWZTa
RGMVT0ThYdGzU2E1rTkMgJNTiYUgju5007Q+Ib6Cydvc2iADHyqH4xMAlI3UbAMAxOllhFe0LlvU
UlFIqnR1Sumtb/3tdP3VF+gFUGjsUS8Vx5L9bcWh6JaNzUQ+V1aBsI5DKLTGL1BagU48WASX4dU1
G2bcXO4DC5E1WNiYKJEZHJMakcNxz0rhNcrsYuGqKzLGcO/eXRp1qk7MLRtaW+snNMzFvSAEgOu/
s7ubO73gvaz/XF+zDDFav7ncCEts9vZTs9EqVxnAoNasvhOYTL8HInGHQLG1ooeRs8MAB9G9e3f4
HhaRh2JsFc8aBw6cHzu8iBXS2LnOPkIVeKFDw3OkOntmXHne9FUyfFrXSqDIm1ezFG1IvF6t58zL
9N6FMXsIg47enJOpSQxzjRQcOJGaFbazUsPXiYrFhRPSC/J6WgLrySIOamc5KVecvkgEzUA4cCgQ
oQGgo24Wnr/LguNzjXlvIToOGvZQALcRVBSVKDF0tGSMBD7Z6cpbA6obE9fnGQmMJ3mxa07VGpYM
VaVvXiTBKY6Pfd5W3WsE4Evf5W44Fv29u3etcr3fczF98EfWTFxvOqHsLu4K4vkwqsPDo3R8AM2q
qYVI9kV8PzJamMTpxFLJWGRk0jqHDIbr4qWLxlc5Q4Fh1XhoTKiYALNC9p7le2G8KVPj1fYsK2i2
rDXTzIwxpKfh+VC11V14pra9LRnwIyyUY4QGycLLbr9LjhSkfZhWhqGaTAmew1Oxkg6rUIBOOjNH
bYjkzdJ0jnAQDW2nXKDqH4ixhaIldJTW19coVWIZINskqK2UOiU2kopg0Q7duhqZwZrOEUb0qMwA
zTBsDlQ9iLVMAYoZsMWjNDw6SuvbkLrdyZpjCo/xWrShwmlP87nAkO16iAAAIABJREFUGFgLdRxg
MHLYUAg/4e1R7SF0t37Uq3QAxwoMcae8Y1PUcRL5tUrExSVWtvUL9EbCFAzwNmFOl1EySge8aBSo
t5QWPpexe0oxxCLvqmawBhYCVUPpzZg3rn2YnQOqiZpwgYHhRfPSuf9b32URzIJ7B2uADgMilKXV
ZQLrVRmTPhdzYs1XyyU+T/tqRjpCzADGtGT0iEqCavKWVmTXzgOv+TnUA7fY2U6ZmZENEc75RhSL
Fm4vvYGuie3DEBE3cWIqBpHGDIYJAwnPwHvK5a/2TIjuO54M512RvxRDhxgKE3h1/XCgD12JnLEz
MlQTzcDQAHU67HlHTbHxyPXQTdIGKpHEOryDDyga47GdriSqegkPpYbRq47NK60o1YqmrRX6AOTN
Tjetb24xLb7MhD9sdIQhZnBwYfGR5ItWbiPIBsF7w/0WyYr1TYR5pgmG2AQ972DsNne2U73bZXMS
aj9R69tOXsucGTaGDYnSHtWZYWkB54PoHJ4bGUzLWJpWEkpMIP6HZ8KGoffnXkHRMOU0X+5RLs1l
LioPUj0iR/IZnPgp9Vt4tGYTDHSGx5rF8BCeeas6UgvYRNgJt17jKa/OlG2nXAfALtf61qy3nqst
bLzo2cCj5vdPachZhO6fidBPZdMK4bDuSPvB4cKQUSVG6KYj3l9R4YHnkFeLrHWRyfc+lh5N4CBs
+yHPUi03VtVeDE/zysyuVV+WgUdlDM+4n1LmcMW1quCZvQ7BCZqi/ABNJizmN0DRegkKdMGGbLUw
UItUO0YxpAOKKhHgaWWCcJbdKk4+Zmj8VNMCz3hFhUS4+uFO1/DpWQm+Q1eosUwLL3Ql+RYsY9Zl
2aaDYaW0LDsfW4YIG5MYj7fEwinW6LSM00WDPqcxwmaFEQfOhCyoAfpzGnX+Dqeob2BsanhBrPVE
kezGBkMnLkKmuo2xvkzmPUj7Cw84mcB4Tik4hzQ6jCieD1kptqN3ABcHDH6POUHROC6c9gyRvYQL
HqaMFRuBsgmEFdJj+7OVFrq/UGTO8BVwjNgxfDgkDtjvrRuGBm/UaxjRw/K89fqoVzyM4xpVWGPd
mKeWUFDJl3OopAdlVRImr5PhEvfkBY6rPGkO+XDWkRrXitI7aDHPrFtRmgNoA+Ek6S/e75BJjrlV
b6g9HrO9qIPyJYr9o4NayrMA1HlP0lNnf1DbX4Zj4mCxHYB7U9bTOki5J+bM+cL4WuhaLcX5eVzM
Eq4SgSvXFRVlIJmfFVLpMesid7vKbs7lNrpyhsY4LFRdVGMIgpImuyEFRMbnNFJIr5sLjviaBgIn
MdjmXegK2akg9xkLyjgvZ6fMH5RGL2VSy7/IP2cNXn8tj1+u5aN+kbHqtSiOwYNqYjMaM1mZOJEt
sdlhrLCwSHGoN9Lh2FQlaaAAiK/10hoUELKKhW2U6eyYngh64uG9WcZGmSvPnNJgsU+k9ZNjyInx
hcic93ukfpg3DWEIgsSCt7tSUw7zGMDRMe8CniQMFhY6Q9nhKK3BWMH783ItNXvF5+PCoWVa5lAg
sOJrdCeyjuIFNvM0rlNr0oF0hrxey4dLG1OZZsyJ1rTRNKxPn0QvW0EpFx6yJZLsIMPnItTGAQRP
C1LBCudECLVMYqj/dKehSzjBMna8L9GD/L0E7on7SVwA4AKF0EjLUZJDISfHlwwASyjIS8M8M7RX
c2E3wmasAsAexCR/Lh5W9JxiKIi/H+4dMFQD2xnNDfhzj+FX0hfCBq4agQzGr3C7mc1zobPiwb2d
O1LGOg0kYwEg0gcdBFLoLFnnZsvuTBcAPDvWyRblMFgADDHDoEbP6ZyLSQHcwwNCjxxOh/IXCfnD
MKVk1AVyabpG8NOFBQKDcDw4Sa1mzRpueHYUKPRdaKSfDGnQdy5epHgbAVfWScpghuSGZFL8GaUM
S0+TbaRA+uwymQEDcwRjgUwTupyMJ7nFODaXeUbNtDgxcT9KzrCuy74DgnWo64SHQEVYYHQs4+lZ
w4URsDdTphTtg/hQs0WDBG+NGxxelPO+ePo7wfLndXLrIiyJ8Mv7YUpYDvdhfQ4WGQ+Focd6E3+p
Xm8S0uTYOdbLFljHxzRQYJXjfRhzw30N+8QhxE7OXskh3XQqgHCvmJjf3D+3gdKjgg7mlCCjA8GD
hSeGv+O7GYVwHRR4mHhdXLfCyJwyJJKomgoL8uAfL4YWv06f97SB9pVZwlyM7BsOC+/f/K//PL3/
Vz9Or33rrfRb/+N/VcIMSkBloDPIUMXXxSvyW+SFYCLMu7LW31bLFNKjod+g9HgI1HY6TLtTBwi4
CBpJgFA6tT5ulkkzAJwnigD2hzBU8YokV4WzJf5TENJThpRGaDzK5Sz2LMZcx6eVBPRgVJotq0lE
qQQr1A1YhfIn2lXB4wJmBIazVbDDkDoXxqki7Fazvk4PLmqB0UvNdaAoTzJCKuRJIMyIsERIHTob
4TuAU8EzQPZzgHpMqGMwYwUH18JetGGiNwByLMJG1LhJxbJeZ20bkgwwSpRAQSLEvSjgc5gXFFvj
ns2TrFM7Hjcize+fm7nSAeZeMRIaZI6rCQK4fiPIAdnBCgMNPAmeSLfbY3cgV5LkZ5iEjIXXzI66
VDEggQk8MYToULUVWVMFx8yaG5bHz8Zh58mWer2eNljQbY0mRCzF69ldegKD6GVinklG1taA+sJL
tEYTXnbEZhoWBgKjgjHq9awJxvHxgNiaPDElDaLByiTRn1tIeIbkizYd0rqsXKgYpAxGR69FkaFr
ApUIejHk9M0NnwkTq8VaWqBeSxeJggR+IW2DVD7CCWx06ba7ew53ebk0qgGBfGRniN0UsXYVjH+Y
CxN4sL9Pob1nrj+bvzeOl55ZY3RKq9rDMhICXUGCaqYuLwMgk9mg4J5jAa5tbtKIWT2fZfmw4Mhk
V6bT52GIxrWoYWtY+QwNvMtfy4VnWw3XFkP2FSGZwF54XvjOTheAsRlbsajhqQJPGU2GrNdE6cfG
xmaCn8cmnMtEnG7imA/CVWxmYDUwooeHB/Rc4DkghIL66Mb2dtFmnWn0Jj/nSao7lJIm5+nuu6IF
uo/HqIM1mg3D83D/GDOsQWR7kVHFOJnHYsA2vADsncEIdaITeqgmNQ59+xMWxcPbIhblCSJkiNu9
Duf9+OgoDXBIud4cIBISlJfgURVyy6K2SLCARg8JFsIqjdScGWUD/yNB1PsAJryWIWJB0CUpFcbO
v0/huPXoRB9EeOUwau2UpkavMI/Z8Dh8fxaf/HlhWHGCcWNv/erb6eZbr6aLz10thYp3P7+T7n1+
hzf38ldeLTyqQMLL0ieB2HhqfXjIZprW+cvL9+KGU8XTMmxRRlifZfG23ydxljUTGfPuwiptelT3
FZv9k/d+mn7w7/48je4epcU/+iXqLqlwlQxpdRvx789ZyVC9Lx6LcW4MNEWIhZQ2F0rs9Jwsq7eO
lkmuokGcJLQXA1bE70HuZGlYCakV0ndqWHY1Exp1irNoOeCWIRQ3AUHHLbz3YYfAsWFwbH+ODQWm
Phn6wMHMI4DXoXS4JUpaGVcEqM4DBKVIKFXqQpd8k6q25sUIthQFRgfkY7MX8lWqBKgesvF1ga4T
5bA1Lii6p2ieL1LjTXmI5Axx0FpMq8oiAvys7coVOBjglQHHgxHDM5qnZJnZfgM8OCMXA1NENxqT
MbI+mQuntCzQXFgKnEiiODbIMhrMnR/QpNo4UJ+JxpGnFYq3o+CmCfNZhpOHon8P5on4Zm3O2mMa
S6dNxGqUp+ltZT5/VawMm+21X3izVEOo2jm0Rn/nj77LEAYt3BnjS3fJLzF442JYdRktodzlRX/P
vBEn0imuVio1h4temM2slJQJu56po6GDID4mxfsG5i9/uEHC5w/2j9Kn73+UJp8e0rsQvhA/i54V
gE1PE7NNGTW57YTEpgVWAbB1DVSBVid33IZLj2ch70VqoEjlwyX3eyANBGGXXzg1zeA47gIvR7Wa
nsXBQrOSJ8dD3Mvgwmdmi7uLHDYsPhlFpd8ZQjaNCEolDC8rYhYT2JYrv3K+qSNl4YM6OUvdEu8F
kIw6OZJZnXRI+gbumRJU6rL0AHrMY1wqQVJm96zPjZnxchIK61Ey3/YSw0dBQ6mZfExULvGMG9nn
noxAVhT/FWVHOv5s5kvSc4PjxMYTXqBsa8kSFYnZSKsRJUTiVQcUATg+cc39Qv8c308xPGQImR02
0T8YIx5aoT+lSnZ07zI81b6BEiSQcq+cByUqHtT95okYrFLoVtWlrjScXKZFOvz0Xrr9vQ/S5vYm
SzqMCVucYln/vIJnnelpBSxIJ6CE93JImKkVZelVhZ+YxP39fa/RaxNQBsaCsgU2yHCNJJUHVa/z
KA7w4i48fzXd+uU308Fn99O1G8+Z5+DPZIuhCJXF2UHIBXwGF5jrqiHEMyAEhNuN04y9Htlpu82w
SyeWVb0XWTIsfCYnKpgB0+8gh/ZMsUJGgnpm4FK54Tdsw5Ic8JCAOZlU9IRJCuArpBBAmndspVLG
3gZFAfwva1Axm08tjFNPQrRPI3fOWN3Cn6w41mROADyjpo7gMfhBKIlyfSWIRcLLVqu1L7rgqwkf
HXyUIEKdaSwzO+v9AZsxrNXFX6VZ5okCepTUsLJsIqAKHuAJ4fkJxwghJLBAeE7I40mMjj0/lymt
b3TTvG9KHSYs2WSoqM7mwAKVXV4iC+5eD0vZnBPHtvZo8EGPz8Myb+HFNSxVYRxEU4MbcksyzEnO
/hdRi/Ze5FsJi8ucxtDw13hqPr5P02BVCz0l61qlO+jBb/3SW6l3fZdGBHGrJjmzgt1YqfTjYa5q
WArvQUqelkmcUzNIBaf5PW5kEUfjlNPCRCGpxfqWIs5qDBVPMN77qoJXPf+zzz+Xnnn+2eI9VR36
gNMJY9DCBPB6cH+PpTYwSBeuXEpdGivIixynweER72/nwrpTE6ytGQwLDF7du1yz40goDVFYQA+0
YcKFkGzBKc1SJ5ZzIBQ2HA+ifDCY5BYtF9bhBpUDYLCz2NVVJyk5PeJryTNrt40LBA+CdJJWmsIA
gvS5gS45lvSAcYRngMMC4Qvur9vF/FlzTSQPpodHXPTCgw4PDqxZxfo6Q3htjNI8VDDQB10rvafc
1KNMtwlvymtBihrRuJGT1mqnS5cu8yBCOI4/wPbwO3a3DlLjWL9QrqBnSj7glDI/kCze3t3la0gV
ccoCqhFQSgO6yM7GBkNCgN7i4bERxAlkasZpY61v/QjqzXzIGKMeGT6E6FbuhQu4KPCxWs0UGqw7
DjwwAPQFr82K1YVN+8/cW4tNXnNmMCSitNbv37+fi9qfrsGqKH7K4JQY7+4qwg28dOVS2t7dKX+S
SHMo8gU4qK7FIQt53iXWbb4x54PQhXdQXaUSclkZzcDVR+oYpMqh9TojgZRxvAHJsXwgxQzdiiLs
865qiKvi3Gg84hjKkGExMJPJtkkIl8zoiG0OTws4Fj0WN0D4PVUcPNXOmkKVRuXiWetDR96Ze7Kj
8ZA1i/CGKF/LCnuEBHXTZvKO3RDaw+9xOsPDgxfEujWJ/k3ArDdNJOlYgWeGkE6aX1R0PQHI76FA
PaW1TofqGTK4Rn2xYlpkEuGhwdNkx2GC+LO0RIkH1TCNda8GJDETq3H9IiGiOvbYZwWjlbs1OWY6
m6ej/QPj9uGeHMRG6h8GGRhcy0N481TsfeKoyQtr1ur0igADwBOy4uEa6SEK7XBP1KXyVmhYB/DW
Du7fT5Pp2JqsYJ0D96rVUndtPQ2Oj1K7hQ7aoFx02MEGZFsrUSuiEBVhw1ujuq0npZSswaUMumRl
zMMqEkZRvDM38T1jDkSZODex8QWv0y5QcHsz6CggXRruLnGRsa+g3lDyOgKQfoo4WrkU3vHlQfI3
y864XArYz4XLab/DqYNdARE/usEk6BlGQvKeVAEewMh/1Cu7xMj5ScaZsitesOuGElgPuE0ITWE8
SA9wT8/Yw7bImG4Oov4YfnJjcAg4sVDMaTGRybECU91DEtayeSiHDUKsiDjLMi3YiNOE4PB79A2E
AeHG84YRCE3ZUw/AL8N9y8rC02WKHRuB3X4m1mEH4TBwwgaAZNPMQikOqxe8z2UGY30tuGWgUQWQ
bURJUx9gL0unYUTBSJEnH9decbNKTDDrrZvh4Pc76RPjgw2NNUWcBiH/EmEe8/+uiWb4jw7PnKEL
SRMqc0CX/QiF6KNcqiNOYccPX/XMBLeOmmjDIT0izi/l6GxdGCWmlmZjGD4j85L02TQVEOqUjad+
KFq5Fjx1El2ZdLJEVImL5QZNYywDJSiIa9fHTD0GzhtfFlTD63SO5dO4Vsdscp8D/hS7/vLfsUtz
AL5xleqKHsJY4ZIwXqnQuGLEJEWrkMgyyebCwhVdIMyYGKsYMXmrFfC0VQ1Q8+M+IjGrNFTFe6m2
qO644XmlFe9fTGNkJQ9F2lx/z5ub+kfWiZfANApcOa6V1+m7KRY3ohFgSIDnJ6cLmIORFVmZ7xuH
ZN2RSc4gPDMum3UXJsMbtZrOZyOnClLJbVeT8M7TppOFlmhGf2BbKpKATYGAqysoD3D+UPsIlQp0
OWLWUB5wkdQhJOF6awb6Nx/ay4qZvTDZeUOyKH46Zl2ejVNKzc1NM0b2BXwWUBY0HjQCjBjs95xn
z6wZEbZIMNEIOgeKB2kuZsZ8WbkOIQMkLLzTMlvYA7Tn2E+LsC2JsGkt5htO9Wh1e5xrKtS6gCKO
cIgjwoAROwx9PU0NpJ5IK/V/S3MrGjCtuyoencULzomUFNkAG2XVymMYLIXiuTqmumdx6FQLm5X+
1sQpHNPNnioWrXhXZ9UWVRdSiQtVAUgzniSmuWRAQkt7874sdUwh/D4AZyPb0Rj4RlnWTMHgQQZT
E/YoYYfdhxWX6sSmNhLHLZxWnnXjwveGEJIWBsYhtQcufq+WpyFGWMFMkfN7vD2TheyYp8SwjQXR
XkAOrCSXjzgVYjQck9tDbw08I2e+qykBuFMwSCyM9qyfZbzMA4QaJrEJPMfUFjDwEtITyN7Gs7rB
Iru63FXJQmMzysgQIiM6dN1y0y7TIQQD5V6WJwsa9VVBwOo5yqG5c/wyF1TVB6pjRBE51F3HI+OW
rS3SsoHNbFEB1gsItEgUYHzxB8YbYTPmQF1lVL7D2jypvLqeG42CS/UQrxoOrQExiaKWfMB/1TZt
cjJm+3fzxKwpcatpyQvOg3PkOu12mkxn6eR4QExMBefsWl5HeZVTK5pzGjE2uWA4ByoLDhozhtwj
fqhEkDxXvgTnocSfPOMSEC9BA3UwZ2TkxnHVYRIdIBmsErxS6cJjpTmV1K/KOHKKs0Aky4umssFz
9k50g+DZCPCslujk8M8XgW48YzU4xcZ28sCCi7ktJi8Wkn85N5oyGdr8CIdyDL7CaJ3yrh7gEcb7
trZfpik0noyMXe9eoPAgLEgVAuMCkRKfYNLEMHC2SLFBh/B4Yhdi50gZL84Y5fKwqHgwGrEXHTW/
QTRttVhDKGNF3gzkXY4hsOfaWfRwDCtjzz6U36z1Un/dZJp5wvkzYrNtX7iQNrZ3OGPz6cQzWxBQ
XGNYg0zs+GhMA4aQl9K9IEha08uceGD63UuJ5u5ddRCyQ+SuDwkT03lCnSjGajKechP2+iFrWIEY
skWKgLkfDFnaOzf/LIwMC6m7prrKDBmM8yxknzn+1kIdEkYYO5A6d6kNtZ7abYwT8KVjaoXtXL6U
Dh03lMdltbFIvhQGFxBFp2skaYZtyBCPh+nIDxO26XJGOg6Qta1NNgiGZA/mqocDotVKP/vZu2l4
OGAihITU9WaqNaFsC1kheMcoqPZuOmmZ1hrQj7PqCBo/esgmxggGaYxaqvvkvL2zcn84IRmvx3qw
BNigZAt06Orz9d34ORIvmdazwvExprvvWcbBHtNnkP0c9yz/PYLrjn/Jq4jeGzWkcAJ4fSCurKXl
oYDY7RG/UMX8WmvN3GzHpOClYNKq96TiUmITMFieWYxeW/XKNIlzwsOqV0jy5mRCEBmbjOxfZNWy
UuSMk8aFT1mQel7AeD8WNDYp7letl0jByNkpE/XPHouPFzYGNvz+3j5DPU5kx5QBkPBglxy2drJN
YnIlzp/xVDxAXOBbG/11ehOYX2R58F8W5aYFhQeRECC7HZ2GIdYHmkLPagURNlLqxj06K7xdMDum
no/Ec9zzqAeDuLW9lbY2t+hxodsLPps1c07TwGwhE2k8n1bBPhcp00MVcapypYOPr2GJ5k3hEGFS
o9E04T8XFcR6Pzg4MIlix2ksQwnQfT8d3LnL9QaaDDE8L2LHhaLu48OBSQrBSLlCBQvAUUHgXZzw
RwRLbMat3R1m7oAnngxBwj1O4+nYal8pXePyxShybjTT3sE9etPrqJdtmWAf8EV4oxhjHDjsKTCv
pRETIPLUakymQBqIHCuPRvhf3D/pMRZFkSbh2cC4HyLw/rBRR2TgSzrKdNhO0x2Ek2eMMnTQOuui
h6WTSBvpFE4lTyjceKyfUwFufNhSOBBq7EwG2HCdWLoiwFoPTc/Es3m5BiomAhy/oYvvwCUJmJCe
gaC+u92Wvarcc+V6GIKrTmm9JnbOgasPL0VcFMo8j0HiTBSuAwcHYQ6MxWyGjdvMHg/pBI4PkjRK
INUWiUB2XPTkpL1+dMhNhs2Kk1jGje27QFxFe6aFZeoE5kPWFhgUDCKMhDS1BIozTT+Z8ARnneb6
Bj8bm2l8CMM0CmGRkVGR/QLeQvoJwPNOmxtYGScmA7zmDc/C7+52eJiA6IgOR6BXYKwYUnZNDQDZ
RNaEwlv1dvGaolwjCUIlngkhacxcOdcIF5UouN6c11azgm7VgmIMi14B0Es37MUUcMdMCIC2gXpH
zK+6SJsMzijr00O8kIoMruxA2ka7zYwqvQ0P29p9Uw/F4AjYp7Q0vSdI+FgjYIZTDhHg9/AG1VZu
6hiPJJhZvkMu2My6iyOKaRovDokezCG4iJRkcgVXCf7ZerNi51wMHbhZWSVlxYXnUrIkXmyI4d40
53k4TBcvXlzJr4vg/8N6cFQczTiVA3VSUIybFb/MoVIIE0sGoNKzML82lDvwRivENC5EbwBQFGiG
rF4kljq2Yx2YTaeaJ9zMwG7iSDQiJgGCMKrUoWeFRPODr9V4GzeBaw9x4zAF3CB/CZwrbESOqQu5
UfedQK+1X5pNHWdyfWx4gz6MXHwqycF78Jk41eHywzBZi61i8THMBCZBOMUkX/B6SdfYnBomRbd9
cGz971A2sjAvAKDvwktqyCsCd+tkSJqCadADyzKjapvLitaxuahuCUkUGEtvnqD+EmRt+8JWcS1+
j5byajiihh2gEZiQHzTSjAQZFzbLmyj1i3C/lVrLguoScVWe2t7UVZuDISerAmzccMEo5U0MAxsM
HftP9vqp1YU6gqID6wsI/hh4UqQ9tI2LJf12Uhqgvd7t0NOyMqR1erSWgLAaPVYqNIBlWcZvQU8H
uB6EAKCBBklrYE5WArTAnJJ/1SCfi2VdXs9ILBefDyG+TpvSQ/TaUFsLbwpCg3XbX8B58Z3kYVGg
y8iqMhznGSt43+/+1Q/Tz/7sR+nZN15KN1+/lbaDzLiVA9mhIqdEIeeq61Ez9oZhZTqKSQlwUNWH
zg2ApHhXcSzEXxH+VI1PbcsX9VcC7jPJNOBWtmHt33HAhH2pRCdjbTjdUZO1HJNgicUGguLJwZ10
CTWQDmqWsLiHuDJz3buHVNnlvCcA2C59K/1zbDpqJbnHh3ow4EN2yluGjp4T6yctbcxwxcMnbJQ6
arXg7vvih3cD0BwGiCcgOvQCN2NLLoRjFvpSCIcGgICkt0D3caeAm7HYOUZQ9WT2CCGDNUSFUeKp
DYC3axlBfBiwrKzn5SJ+1q2lmWotM8bKitKDGZn6Ju/Vmd9mKJCqx5hZx5aD+wfUPxf9gdBTvZYG
gxMC3ghJMyvdMVET/7OwEsYiTFgJSuD4e2ZOHkMk2hoQbPV/KqcEWRbjzAao4Eh1DBOicWT/AoMn
UMwNDIv0EcjNQHLHDTluVrwmtvWC5wlva23N+kSqSFoKCMS6XBraeV0shG8WADnLbcL9txD+Ywwh
+9Q37X2oRVhtpxFIcYCo2F5wH9crccuCDKqsYdVTOgX5+AXe3vt//W5651/9YZrWF+nizWslgyWy
t8p0SOV5gpwsGqyYRcmAdyjatexgjUWt1QfQiRaNj1xWpUNz6IR/S7cpigGqLXjoQhIXokp2GFI6
P0YKDGIaDxsnNLL74710+4NP0wf/8Yfpjd94O12+ejWHDA8zcCUX1UNYhpZuaCNeEkNadN/BQqZn
iImCuB56zG0aGRAhBBY43H8YAon9sX09NrQLu9FgISSrO5HUpU1giPC8WKx4D7JODCdabSeedtPR
Eby6kTWPhcEXjQDp9F6L4QGMFgwgxhGgLmvFAM7zdOywXT1PZbps0ILvGeHz5MSUSyGhT/E6T9KQ
HLpMjXkjzd2YcXMR3HahN0rZnHDzKmFCdj08jGTs7Ma0QY7RqJYoncxwyEMLyfeKbEkqgJNNuW4C
rYaGyEUcgeHkioMgr2JrzgwHw1zKyNTImUJFAjwOjBUlZaCu2jRlCewBhvcexkHuWh4yPBruDnLa
LEECikGddYKmBsuO5E54ZiMIhPVMOKEZBe7VGpdiHphsYi0qDL5psy+WCxoz/mnjO9dNDXaOw4PT
xeSFUUjgzY+914BXKWC9Ab6AR6dsc2wQU90DKzBdGLpLz1xO1778Qrrw3JXU7Z9mtstgIRlEYYMn
3eZLp5dOKKXe9SACfQvw97S6g4xBVhsI5TPZzXTPqkpbUBkOa9jc5TfNpwDEo+EjNprKQbwjLT4G
C0vKAvt399LH330vjf/ow/TB7lZ64daLaWt3+5EZ0gxf0Vz04ICLBickwj7dc352o9vn+i5mbbgY
hNOZKN3aGhaxjQ1ie4bYnsLGosaI4vXQYLfwGZlDFlWmk4NwNTGrAAAgAElEQVQjE1JEw4h+jxsR
r93e3uEJC/cA7OfB4MA67WSczeZpY3uLXXJw6oK/g03I9mfk7liLcraGsvidYYx5sUXvwqMj1GUC
iF/jM7KY93jAsBceJJsooGnF4JjlQbHVGRMOucQD2UBrmoHX7e/vWf0k+vIhG4rvRkkS5KRbLSt/
AVmy2WRpFmsu4b2gIP1oYFklJ+jyD4T1/LtNrcPWK1uuO17HJA6bWZj4I56Z6qgINRFyYT68EoHq
rwCjF4t0+/bnlJ2eo6cAkz/1tLt7Ie1evmxNex3+iMRmYFN4Lcqv4LlRxholOw50w1jf+fwzhm/W
zdm7A42Gaf/+fSNoC1aoOXwAo0MWvlVC4Hlh6OYjb54bnAaE+cwWusIrpWrg6XoRuLxP1sN6NcV5
IPvG9mb61m/+/fT2r/3ymXWf8TBfdZ1FaXqYqxkJYxiQSMWX9xONzqrPj1QGv4vSZSclilwhc1xk
BHHRa6h50wYfZEr7BrY7PwOhIEMJO9XsfhAEqdmDtX26/vLNVPuHKf3shavpS9/6Wtq8sPNoA1VJ
ndPFdfcZRjMz8DOeZp8Kz6eXYFRNoA6/oxgfcBbP+mGjGrF1Rs/F+EeWVUQbe34epUZMcgQ/hy4S
Nim8EyuqNYmXtbV+6vT7ae/ggOEdQHwsVMgR47M4tq4r3t/cSLVWIx0e7DNcRsYPBka4EZnsnTYX
9969exa6IePW9pIiTkBKfXTX8Xb2kvdlP0PPjCoUAukTm5q63706ZZdh6LBxs0fP1P2aFf+ur9Oj
wfceHx5YJgygOzxvyJr0bG2heQe8PXUPAoP8s8NP+V4cYsSTfP0y4xWK+VPD5gnzCTAcXg0+42gw
sDIiZBPHE3qkGztb1CDDAQOvGWn5+/fuMUy8e3xi8jA4XNAF6NIl142y8I1enyAWGi4zADDyMErA
5bq+JnAwQGUWa6jt5GLtlRpDVeOpkTDqzSImOMzrDYMDEP57EfQquGRrC3W+hg9yPUClgVhb4fVk
nNhFJrU3HsRJfFCRugyWZVmtYPqBe++hMax6+cajplPcwFXv6hTCX7mPAqcybEL1gpLWzTfuYWIk
iUU8AhNtxaJjnrxSkCDmAWsepDHWN9fTC1+5la48/0zavriTVRWiIsWDQkOFIpIaRqYDJxcLUXXi
ebswZKqYnfPFpYwf/g+nnlq2UzkBQOTCNIbQ/QfYCIl9EHSD647QANm7peFQ8F6QiYNXhAYVUfcb
HXGw4A/37qfjwyN+lymxwuVEOAXiIDApw7dmc3gZtqnglRlO4rIg8KoxJCQXGkuf/QCXBszCOCFr
hosYDpQeODc+faEPI8aboC704B0Pw4UDpahBrHuGzsBeFT1T82m+oLFgjRxoBF7CgvBCtZWUUxlA
LfWuHXitJo04Wet+OMjoGr/Pqwq8QaiwMJBH9+7eJSeOnqSHkwzPhifMuCL0pmfUarJ+lrLXXgeJ
jKlp4894aCDcMg/UMmVWIuMEUdFZFGl4ORRezzUFUjHVaV1iBhgQwuAZJIVM+riGIunR2JsGI5Nu
2U2UWOEggiEWFkUOGEJSYIoZqzMIJUZPIq5mDlrMmD+AKHreJYMFBZULFy6cC7w/6Iq4ucnLRK6V
8KQVN12iObiHEV8X0/7x92oqkf8dsCBhCxl0FwkwAO+i+rM7C62+sC7bXFE4DK+FRQfPJxYKP9TA
6FkyYc3kmLO4WSVrmY0rwtXpyDhUXCgGmJfLE6w+sNZxMT0WyxorHZ8BL85Y0gYoY6MhXMMF4Br4
ocmjKOMG3g26rhjwrvuxhanDB/3+TEXAwhArmWEjAe+OLXqIgflw4a0hq7xsAP17d+6ZoWxa6zFm
otxwC9/jqHhmjhsBAnXiVCGZMB5bGIVF5/SN2WLMZhPsLKRWbwh30AgXYHLLMk4oOcE9yisXfoYf
mjqAhZiLeQsWi68h6Iv7cs+ERgoG33WcyHvLGWaTMsI6xf3DkAJvmk1MYhuGA2qvwLGyTnrYBxh/
eME8SMnNs9C3v6auyDD8IVrxcKydgMM107wzN3KlFHMdXGebL0nuUFNtboXSHqYyIYNyLOCj0Ml3
j96SIIlNZ03CyLvyBIdB6yWW3HwRz6d6ycslA99J0lIx+SJGi8TRCJZnRro2eoCrYhV9/l0wMEov
wyCtUkTg67zshzWCctkDQ76aPeRnsE7NwkFyhbyqP96zCo1j+U7VWMXaxDOGJd8zPodNCLyXHw2r
+suFbKbY1QgD4RXQs8hyNkX/P+F6MB4qElXrLcMRvAgVoaO3l8I4ALdiGywvJ1k67wYL11qPQ2K5
4acoWjx5SyYsGNe8p5Y6yIzQZAILGkmLTscIk5gPZvxAAWjTw4OiAxf6MpEUiz+bIDwCA2p4Y4Z+
18deigXwmvUsXlOIbJuLDJILBqoAe+0ZPoRNFHk7yliZZ2triImI8dhqRYmvWk0dNic07hFKwaAJ
t7FMmpdHedLHugMZLw3ZPKqn+oECYuXweGiGCCEsDhknU7JuEuB6v+dYoXFO4OVg7KGSsLZuDTtY
SjS1QxTv2YBAY07AV6AIrycVhYiVHM65AlRAhr832+UB7N2yp6ozdENjNYteWdE2AB9enimFol5y
whCV3ESMLWkzy6KLN43tPPPTzjJYZ4HzD7oMZ92md6zuQ2WMLz1SjSj3uU74s6Qh9HepVlJ3h108
3CarTi5kDKO8SiShCsDl5kfAUvHE8vsDfqVwg5PS61FXPYOsXtMWVTpj1nPVda6bG7TqMZE4oZhh
cs5Rw5sL+M1mT8iIhtbo1MI/JydWPDM76QsvjV1IvMC12Wqkbs2IjACp4Tlh4W7ubJiOFIiJ3ga9
1UULLjSdhYICWnkZXYQTyqxfkx4O6wPRBXo0SodgxeMUd50y3MUk37OntdvQFYPUiZXQQF8MoRaM
CrwLhIUsbcHr0ZF7Nk0tx8Is6wepn3k6ONpzL8AMmBnWBj8DGxGAPzhGFDd0kTmWEbmn0kPnbufa
wcjQYAFUnkzT0lUcFFYOjo5y2p9FyM5z6nRsjfAzJlNm/xBC1+q7ND40TlTOuJj2avcJ4HNqHKcF
/2pt3bJ2bNPmHWMGkxkNODuTI3OIsAyeqxeD4zOAI0JRNq7JvPZCORE9raBs8OGPf8LD8dkXnk+X
r10Jm9WSMHW2kutTQBHzq4hi5PWc7CLuB6T1C0CR+Tgd7B/QS0TihaGpQxqlngkV5yPufTD6gZmR
jLq18UhGC2MAfBFGS3LLKtd62H1ZEhOssk0V31ddN3P3T6c+cSn7l42bqBEh5ezU51KcrNrFmG7W
aWtfYkJ+pVqm0BsuZiKip8h7khyJjUZxz2fwsVZhc8IDoGlE+Ro0Ss1cGgt3EDLAMLHIGGn/Rkqd
1M1GoQAnwTZG52brAWiHhJ2yDNeOcHAkhgbWJVotyY0pjgWDC6RLyxQO0wlInQiHl4nhIXrhrW1s
pa2dHRIKJWcyozaWkRmxyaATP8Xixnf4hoARSby3GctA4CGIooBTmyUfCKFYPAxWt20aYEbw9j75
4GfpJ99/L/W2+uml126lHXBzEJYcn/C9AP7Z1Zrdis276Xd79GZgSJitBKubnl+fdYrAzsYnKAey
pg2W/TNiK54LBwoMMsNv1CR2jY0uuV9x4WCE0fEGYwJvBZ9l0sUguaJ0Z0ZDg/kFO5xLpl43rM6l
iUXlkOJFD96rN43AvYNvB14U6A0YYwhHhmaYvvYYWpT2gDJ0+7fvpXf/xX9IB/f20ov/4K30q//t
bxdrB40lqFLbTs3dHcMnHYvCOsCBCg8S4n88bJjwsYPkzu3bzBJuwOjW6+SZMQvf6/J5qQ4bpGNi
dQLLmGq19Hv/x79MP/6jv0gvvvFq+rX/4XdOa+E9xIXPkqclRdqHvZQUJGUkEupw6fQS4F2SlggY
TsS9YkGwJiHyqmKIl+PmQAbke73JhID5TDBV/0P3ZBhOeXmCwkfSMIL8zcNkOTQ50ahFHE6cHkwu
Tnlr8W4sbpE/sVCxccnXAmfJ8REaXH5M4WVaEfKAC0Ydb5SGV1NM0B3YCxDgctvkco3HZguQpSMo
cGWBdSPtXti17iyHB+lo3/SnwETH72aTsSlXzOb8Tsm4mMQKSIa9tNavp1kfxaYWCuF5sRjZOQdJ
Eioq1Jjmx0V2vUugZI9prZ8Gg+N0/NH9dPeP3k2NnV768utf5YYA3wsbbWNzi/QBsvYh6Quu2HzB
VD9LSTx8M+5eLY8tDBLr6DY3aRwpSUVPzNL3TLgA35vB+7e1oEpN41hZRxdlZWHIMbZ4Js0tDgeE
2zhEWMQ+Hqf1dXTotkazBPFdnx5hH6YVRg+VABgPhoAOZguzkXww5pn9DemVgorQ5T2r2kJ7Cc9/
8erltPHy5VS70k8XblzL4aJE/tg2rG4HUAOnou8tGFKEksDcln4feA0OIHWOYjs8HmDGeueh0O3R
Q5dKqvbJ7U8/T+/83p+kz370Ybr29ZfTa7/wRvrgJz9J9/bvpxtQLVWE8YhXJvN66P+ol+xQqc2X
XMxIGhXGdApwj6FcJYyMBc4lLCpWX/vHybgh2xZrCXPmYum4ln8eFhLD2DAI1e/JbreL62VvL+rV
y/sLXld8ruLzoHRqKeesBrBwSWYuJmOQG/gP2Y/j1ByPM22BdXokIB7zNDRqRIHZ4fTDJiFug2r1
9Q3iDvgZsRKEQUhNI/TyAmdk9bDosPlYdO0yMTBCyFiCeMmyHcq0mOqAMa3tXtjcAlk7YWVLC6kE
zMKwGnHRpD5sU7phISjeI/YD3pCVmyzS1tUL6dobL6bWJlQGwJOzrsGYL3g2LC2hVwcOFDbSnGBx
p28dqnkg4ORlrZ9VWpAWQvmbvqlpMgE69fZkVmxubclEIDaypVrDs6bTwfdWu2+a804hUWMTyrk4
A1zqGyxHasz4WusKI0a4UWnINIexgmc7HGYaC7NwNePgsfvNcEhjjiUP4149PGPyBuHaG7/6Nu9/
+8oFx8pGlOFhp6Gl9azU68NmpMGml4h5IujuRot4b9v4fFjjOAyRhPGSJXk58b4wvvc/u5s+ef/D
VL+8lvY/vZsOf/RJevG1l9Orb79R0Fwe8VLU9Lia/TlLWDU2uDIzXTWGzmT//3s7tx/JzquKf1Vd
1Zfqy1T3XO0xdia2ceIkclAuRnGCEiGigCLBA7zwygv/G0IC3kCIgAIKKMKRkYKd4CRWbOLEc+17
16Wr0G+tvc/5qmYmnvHEHKtlj3uq6tQ559vf3muvvVaJC3QfcXSp5s3aODMRjhojuy+oVJZKmZ4u
NwPyywIQxmm0nw/mFCNEOV7UBKAKS1voeKYw4FLw4n3yYXYAN4juDG/eeM6JRS38jDLEQOfxyXGZ
AY5rsNgjG9PeeTP/RxdIoC44YHyJ7LLxOZQjZBM8tNNzZrEccDRvtkJAilZ/yoqEkB4PqtxuRJqc
LAD883N3VVNjK63GCJ5IKUu7SLOQLMC5B3KVWdi6StpYkW3yHtqdNwdlJ5QWyExYUFeev142rw71
2Rvb9hl0kGrnISFfEuDUIUT9lOsQUwtt+eP0W3QWlSQ5hzk34TWE95J2YlHHfozWGAx3NgKmY3xW
EsEacbJgYepXUWVk2U9Dp2nWhPQOZakCb4gLspFI2jlMf8majw6O9L4EcdFacMCm9GHDiQFpB+yH
d8eSG3Xj5RdiPdVrsMWAS4Uz5RpIXDilkB2sWqFHZ872qoTjh0SNTCoeEjR4Bm+88lLZ2t0pO89c
Km9+9/Wy0V8vn/rC58oLn3/5IyuJLicjH/Xo1ZSAHFpcxrQS10p+FIfbtYiZtZlUvuZBM4Ju+S7Z
24c7Th6Zni5LI2fwXOgMpsdefF6WWHqPCvjPIeoGB4sg0ZD7KpkbmU1GKs3NzZ3bUifu4nAkk5p5
OHYqgZ1oJlESXNhRBkBA043qm2G8tnYhWt4WeGNZUGKw4+0OLppH1V9NqM+ibHR7WOhBQqcL6WFd
7/b5vU1WPS7T6WG5/NQ1s9pVKtmgU5hHSDXzqNBtPLi7L4wGf8LzPu4r2K47ULN4AZ89JGwjXWEP
jBoF0z2NDyi3yAIB0C9dvaLJADAiPRMwp+O1VoawgB1dOoI6310dX3knKqrGcHBCAXnP3ek72jf/
SxkTQSqkhLh2nDvjP7KOH6CC6nOQFRnBanomrKcvyCt0xqrA0F+NMlizgevaOLgfudjSASjn7giW
6XYETxD8iCDvSQJLI/N8cC5QN+DZLVQqD9Bd09xq01E2wL5RPPqSsEExDOb/rDZzsDw5UOsZA6ZI
HqOAiehkBl7cYDL3H8PdYfnCN1/T+9KQ6W+slvdfeK88/Zkbnon9iMdCdfUER48ZNx7AvFkJgtfE
zZznyvmjZjavmjnMHUBpMxK8da0a1yeZ8ssBrbGLqvAxAkBjCV9pTieFQZ8bw8TCvFK7J4Ja4j91
Kmo99Ph9ZozKPOCzIJTmHZFgBjAo66z1kLlpXJPnKvsYoVF3jM6YZt1aO67sgqTJZAMaVtlorffV
YIOVkJm6aeEDOD2eNAuQ0RfuBcGRcwaf+uV7vyg/ffPtcrp/XL72J98sw4u7spgiIImCEL6RSSlg
Hm4O2TV01Dl3k3E96MuyoZSS3pjIp5YqodvjQJUwgO9zSv2arImB55q7e1KPdBmoDC7LDzhmZyMB
8kMpomTzYVJthh7UFugvZ2K7eJe+P5PXUrKKdArITEYI1YKAVkkLtc8YwnumqLBwzyZnxnnOz5Ut
0kVLrEj8p+jg5QbmSRCMNJDzcbA63D/UN4JewTWjFGezsuopmeZADQy7PgPaR20So2a652yKIb+s
7DaUHnRPIlNK3LcTFq4NvSiea8kuh+a+WPsx+iNV07X1MtzD2SieA2MpjxRcyKC//PXXSvn6E8cZ
Sy/RrBGd5cECmTWu99D30a9U0y9mMllWKCjEaEHyq7K8ygyo4VBByIu5wPziSYWYd1sGeGY6HNI3
T91vumbZ9WOBn9/P28jRHWE/Y9rdKHi2ulGpKZQZV16s2nJMBE04KqHjlP5svFcOyqY+UBpTKpsY
T9TFQ/COByS/fwbLunRtOq4wo1l483ZDWB5VyI6mMgHpqEd3D7wGWy4GlXG1QTQvdJRo8/Oa0263
nN06Kndff7f09s/L6WsH5XCP+ce21c916kw6ZuqLm2Uddr475Z+yJILgykrZ2d2NkZ4k+UF4dZDI
Xd7f12WFQWQbNKT6QF5zRoDEfQraCf+PUpRNMg06rfPEc5UbGN3YVWFlWpxgShHcoDBI+TSeKYZ/
9y5fCoKlx6OshOR5whp3zWdMwDpdUyk5GJwmgHbhVUkiJ1RJ+Oc8ZuuSf0fpHpmrDG27c2VPYH4a
Wuf6DYcG4yNLBthuZ2idIbHp2KexXy4Mh6XTC1WQBZyYDjkYaU+THO0intvPMeY2kblhcwIS+NV7
71lbjEmI4U7ZZjQn+FtktPykuYfmcaX3/5sji37YkcawWPDByq+PB4kTLEA68f176QHHPtaQOCPb
qsupJnOp1RxiTkofyJ+Z16o12SPjSmyoruMXrJzmbfbkLmULptdE0CyB8py9k7WAVp3ppdNMi420
uFZauqeSgJ/xVq1SwKy6lW1XU9iJBmbNJm5wuko36EFYWU3JEPcqB8vrObcGy2tJtZRALCwyAHAH
Hn6J9AWhVAPIKIDOSxnsbZdrr9wo08NR2Rh6Zs9s9OhYIYgnLS1nagQudmN+T+AnI5J8CoYPYQzq
+2ZTBb6Dgl50twglLBB5H4a3Xn/N2Iaz38ywnalqEwjp4V6vW7a3TUvQ2E/KO8eguJVBuuXs+FQs
bhtrOPOADCnNfMrxwUBdP8ix/E6mDGQV0tRqgeG6UrB0jzuz6ozGsH0qpkpaJwakm0oiJZMjM+TZ
YCwI6WRJzPQ5xxhF6vC5XMOWcd4YEc8WJYvcDbe0TT4uGj8jQwOHQzKmU8r21nZZiVnAmvx8nutT
XVbKfA+iZ3loBdwj0VxEEA6FigwC8kRcmiv8uI+sjMB0Dw8OG4goD643ZXRjy1c1ypr3WPD6S7pC
BbLX2UJDNIMdnfN02glb3ew8GhsrdU3aVC9JpgspYPzdxApms1CGqG3L85wq7El1NqAx4w1VCdoE
umDIN82AMI1QdhXmookl1Fyw9Asq1WekY48cYqJMzs9qvvMDZrEUiHOnkBOKs1ZJH/OZKy1ZNa95
4nPiTcFfooyJskidtnCVBosiC9u5OCwvvPoZZV+7Vy8150LXMGcp5djSDNLOBLjnd97c3imbFZO7
YZ03JWs4B6sk9jfjNjoIulzKzp+BZ5fkWdp5NCXE4gxSRrY5rcTz4tew6/f3lVHZDMPjS9LzDxwM
Fv72cKigxb2ByGmtdvtQNkPYFZ6a2b6faTYZ36eV3tjDx6GZz/OR852teYkXO5/PdWP4m7lHrxUw
OM+RSvBPDtjOyBrAPPBYPTN4P0wslyM9r+AVqtt4TBl/rO9NBrK2CXt9OesozmxX0HBntpL7NSmj
o2PjrrL/Mg0jRRtbeeKW2I28trLqgBr+P456ZjGNPBZmlUXC9Vqr6SH1IVpD45STbzxfyk6q7CWB
7OUh4rrTl6+rpWt8Tq1let1RrHlf9ZdbZsGnNnaea+4U4i2ln1+ec7eU/kq4JDdUBVJpMqWxgOXE
zhrwk3PN4eUYMaLETReQLBfTd3BB1WJ5nrKai6xbmg0+VzUvoF7YpisJpcZf7EqDJIy5PNbk9nXg
4Z7E30fDCtIi/HSwNc8+GmTPbl932617si+5TR8e6r1ZGL7unlWjBKNs0wJUJzLs0kNBw9/JGI5K
jBB6dHYTrjh0RIvtwMT6V8d0XWoV1jw/EZuf89JDSZCMgW0yA0xElSH23Qk1eN4vHSb/NzYUrMDU
FEAODjQgzvtbzM4Bw0PJ4RfYCOZ5TEX3AXZKZIHCaENmO9X87lvEJFgMOe/v69qBQ0mBdXNTWmZc
K4I+m4RwUjUkLCFjuIQh5qknAubuIEM54HO53qLJ0MmLbJPruEV2pbnUxc58J3Sp0suR52C8dlpG
dEChgeCivbXd8MJESdEL28oo197D8KTHOR4Fe1qmTmnK4QGHR86Mc9X80Kx0eomZ5MJNPMYPoBdx
dhLzS9a66/kQZ8cwS8Ymk6rS3QZorIX7HqDz3Iz8oEHNjjfB5tsZxfbecIGo2hhezq2JnlbuKYdb
k0NtpmCZ4Rye9VC2A3a+TkE0HKybso+8O8q47KYut2dromqWxTWvK8moygCWLOdlZnF0pAc/58hU
Bp17fkxlaGivQ49QAOE8NoowqbTPorTLsiw/T4YF4ZTCYuNzeD3uz3IbBstAW3HWkYEEmY84X/0s
03ku0rDTAZcHi2tGZ8rlnU012NFJ9+shbF8Pd/pgnTMmtL9/VwvSYy0OMvgkogHF90qLspRjJlOU
D2Lgf7I2Oz1TtkP3CmIqwYJrk/eK74mMsYiy8bomOINpqVtbxKZH8QIMLHXWYNs3z6PWB9fSnWKB
7zsYSuyVPppe+/eslBHVhkxrQ7qG86fb2Eh1d9HI8pC8OG9HaP4f22iX+U1VJV29r6YCkubxkACw
EgRezvPOrVsxKbAZHcrQ+28f0JZc/QDfhsc96lG8LFWfdIA6dfZ5vnBkys9pNq5aGTS1hCT2Fal9
4lSSPon2dDJkBQxLNbLtcuWiX3xY28yKo55hymwiAf2G+lAFpf95463y/b/753Lw41+WV//y2+UT
L78gpjHBiptt4qR5RIs3JHcTBwyCMLZYmYnpXMLZJ7O//CGQI41h/aRN6VoAtBovaVVPa1pEliCS
momJ+eQhZac1y5u8vslmFr7U6+tBM5vbmQB/L7t8o+i+ysoJbhcuO4zaXBhKZtdND7eynT2QwfTL
yckR/QtlNWBGAOsXL10yofX0TMFkLUoeFlCCo+BbxhzcbFAHFQWLvjtO5x1TNhJABw2W2/HxsQKZ
6A/isTG2ZBIswYG2P633HO6lgSCS5eGhAPV+t6ehb8ZcuC9sMnouyFziGvNezJV2GmspgHRKu7Wy
ghkGmcvYWkzb2zsNQ9vlquc1j08IKDjYhFuxMhb7DjZ65NKocqClI8tC4tnbvXRJfDRGfraYFmBu
D+mdE7tiixIym6tBk9+zwWMF6M/KaeBue3t7CsjS/iLgasOuzUuXgkQeIaczGHS16UCiZZH/+L/e
EuHzi3/wWrl42QYQHHVmlSooH1U9Id6wOeRiFDj4kx6cE91fmmt5ZPe1952/+fty4dJuee7FGxoP
UIZRkzgj+8qWs1LM4MnkBcjZvqZ1H7trHb2Xo3r+ORf9gqpBJZKXOFnpdcu0OxMzmiisMZHQA8+L
v0CxCBdend/EfCTP6E3K7sVd7d415pW4VHOe4j2ZzJlkOfsgmt6RAG39mXXJTMBB86suk5uFHQEu
/34+0CkfPDozLmTMyR54lBOk9lZ6sFlsAugOfpH5nZ+XH/zT98o7r7+lLtrnvv2Vsrs3VPbFZ6NS
SilDYCAQ2MXZpdVYul+WDAabMsY3F1s7773vjzlCZABNsA+5ZIKImfG6sn52zqfO6ijbUJ9Q9uvX
MH5z+9YtLWDJDseEwO7Fy2WwNdD3hmzKVczgqA5ov18url6O7t+iyW7SA5IyI0wnVhKbDt/1RFng
uUq6/TBu7YxMowC0Fo5S4MX52T85PCp3b97Ud8CrEXNZWOiSVI5mReK6IuIS1BHtCykdlWMBkTDE
TcCUpMzsXJwvc9Fik43nj2+k5ymmNeYBJ6R9fJ0osNn1tlbKz3/0s/Lud39Yjt65Wd7c2xYtYWPL
Cz9xYjaUpLt81MPPrnljdhE60WbLhvEkxNAHxQuOhH16P/zrfy2DaxdK/49Xyu6VS6qJuVCzKtMx
aa7lOmXXj6MpF+MCqtUf0bYuiWqGfM0/yp/8kgnM1RnZlWeeKl/61tfK2atH5Zkbv9VE3hoHUns9
6/IAOVl0EkPDuDP4ZbSdSZUhLyaXKG9AfR66DjC7Y1raq/MAABS0SURBVFBTFyseqtx5FySfE3AP
bDPfM407831z9jEpAe4Y2SzA50rr2cTI8zItnb71lsApxKgXb8cg9wKYnV3U8bjc+eBWef+d/y17
Vy66vBlsNk5DetA0LOuu3zogsQiqk3LeYwiYhZXjKM4QpQklB2bKPpNXOZeUrOb1/JlzhzBpfhoZ
Jdfd1AqNMCkLnMm2anO2Gc8O/CNmDj0HqQVPZxHmOFpkDYfHnwP/zFmQMTLwo5Wo7kUIjoyw3umF
E0n22fACoL4Ip9Ijz4aTDzA5dVAr7SZwz1RL3bmwq9KTPyOcx0YIoTa7gpp5JMtD70oKo5nd+FqC
VZ0cHAi017A35hV6rnxfl9Gg3PKbLvkYxQq4Zm3G1o7YdCVaefnFZ2ROe+Xpa+5UBj4pN6CJs+ZH
GUCu4ZTlEpJ/cw10TtE0EOH4YzryXvTOcMmZTsvdszP9rLHbC43v3jdVnl8wS5m8iA/qNGQQS9A9
v3x9kZYv2ILOVAUGsvD4yd/x91gsTZYSQHQKn3mRIfw2aubgLDmyauwnvRRzELUC+NoOoxdsfW4K
GCWNFRZvYF4rZVyhjZ1lr0rMs1H54J1flPfffrcMr18qn3j5RS1cgmoqAMhmS+VI6DhJqcKX0RLI
NDucEYHfsOAStNXMIBnkdFouPoM8dFduJnuXLtltOu6Z5gfHI3c7WVTCqpwNCOBndi2yZVnGz86V
cRGwpLIpxQPcZCb2JYStL60qq36quwY+Ewqk3a6v64DgUPHWKF9MdbHumDYVje7Yw0+jNgwkB0VD
Ursynp2Vc0DmoCigksB72QGCfwWZOO4Zr6XJAFiuQE/w0ViVO740DvRoxgiTtag8b6dhYUa+QmNr
sLWjjipdOTIuvi8ZFHwn7kW6befEhhsSsZFKcePUHcajI7fwmaMMMm7jtN7sdpXKCBuazGgnIgPL
pac7CEpRWyRyzy4+faU8/5XPKZg+/clntXGLTBojZ7zXBh6LjzHTlxuv1lIMqCfOxD3i97Uhy8d5
9K7++WvKOM6vXizvHh2UNR6mUsru+qBsdUtZ1c7qzIDOEAuF6G73lmyVR8odfK4FAcCUn0mB+0or
nqPGtfT7WVsHZ5cx3yuzrnSVzZSfQzdDgcoBIAFeuhF0wtKtRqVCEE2bzmAsZo6aD5ZKj6JUSN/K
32shWAXnK30EG+mceh5zPhd29sN/e738x1/9Y3nuq58t15693kj7Sg1CmkYs1tbbLmkVKS2sY1K0
q+dgq1RHT9CwcgeLe/nCK58qm1/9olL0JGXKrzEs78mQ+G9KgyRsqmzRwPNE5yDZlDPrYmk4mTEk
+eU5YEKW5NwFtOdCxVkZtdCtraAs+BqmVDJMcD3YYcS62g1O2/m83L19RzjUVt+WWJKFGZ1F06Ao
+wQ04PtqFCocfeAreeNx6TY/t/mEIAaygNNROSWrundPoDblKfeQa8e9InhYy8syPWRwWSrxtgya
i6LR6Zb1LetiHR8dKJCCGw339sRmd6fX3V5RYBiWX2mVRqRLdedO2b9zW4FMEj4Xhirb8zlb6ARG
955gLhkj8L/RWTnYPyjbZcf3NakbQZnJzH338l65cHHYdNETs1JDZws+3yN29Gwcp9drM4T0LEjI
TTnIr9wjrhdYXUqBf5xH76Uvf8GwNIApHZOwOD8+Oy5700nZQ8gsPM5+9vZPylvfe6Ncf/7Z8ukv
vyI1wewU1os3D7satzI1wr4qqkIeya+qCaLCS7LVngTRKnACHitF39lp3VHQ/j4+YdXJXouuDQtI
QS3KRu2sSZlICkOer9j+FtojIMhsMlxGyNaSi5WjN7+uLVzTGlLvfW17UAbXhmXn6p684VKRgQWh
RkaT2XDdgkg4HeshbfdeLOa7etBTIsUzbh6luPb0Uyrb3Hn07ifNrMQLxelyNuFupakP2UzIQWdw
IpdGVgSttdJR6GQsRV3K0H23lLQXDg/weCKvLY/WhO0X84qUeWTxPNynh0flVujDzybjstZH331L
YPVodKLX0fDgHAiyXCtKVoJ7WpvxnSivpDtPQ2MDesPApNpiNYwTHH9w2l5lLnTFA9jIP8fEAxeD
1w3CNkulWRCTYZNL/A8H55UVNQ8A11cHG2XngukV2kTH3lByg5FhR5BvxUo/PFRQxoaNZ4Gmg/le
rWLIwppQV3KqDiTnoJGjFeuzcw4IDvIa7lFSTrKhw8RGbsgL2PGSaMGjHNktV2bL5MVkKtxRVJsw
m9V8aZCDl48HfeaTdBJ7sGmzcdrUzZ1OOe3My63ZpBweH5T1404pp6Pyxne+X07//edl7WBWbj97
vVy+eNkscMYUGlkZ40I4kDTM+WTPZxewwniWtaUV2OJHaWxgZVn2KYqnCYWY+J7BahjlQbHI0QzN
ZUWXLS9WjtTkZ7f1uWfhUuERhxZKywTGvWAtfJc7oDCtKAHMlZrdV+ezGLA6/53f/93y6VdfEb5A
eUrQ5fVItVgjvZ0l5IxOT0fKmmQtI7MIjGPdEV3t9VWS6SaS8YZNFEGPQMXulxrwfFMB89BEZPzQ
yjFLeUCdsFBjAIwVFsG8n2WFZbXOoogbR1YlcbdguLur6CHb1VXAUWgHaF7BpbJWPQcBBWa6N5bj
sn8XgJ45xCTiOsh2jihb4KA5M+P6gsORgU1OznQtJuBuZPxR4rGgOUfxe9ThZKZu0mhY9cDdmHHE
TfkM5VFvYOBPQ3SyZJtlzIlzyKmCo6ODcoIKR7pFz2fCQS1Zs6prC8blZzA2RCgrjY+BcScpN7C5
0JAqQTlBsaLa8HKzzmeToESwoiuJY1CJ5pdE+KZjXZPhzlDPV0Ib2el/6Cb6GIEr6Qp8VzTt/ewj
eGjOHM5NVC9SgIjsbjnyfqgeXf53NXa89AYL9CfPEjZvkK/wq0eQNamB+cNKKVufvVGQSFt59moZ
r/fKnZOjshM22Ql4amcibCUnK91ml5Qc2sL7fl0rdVLm4XpbGT7mSSdLWMYG40nZ2PBuwuJyxmGx
ObAIW2m1QoQ1Ga3+zPzvLDWblrbAe4v0CdgPykFNGM2AVpe5GRRbzfZu6WMfdWE7SgR36MCxeODc
cQu+0jmYzpnGP+hmZbC0K053gWdGO5wHZm1tQ1mHHjII1eoYTks/1BEkV9w4pPih9oyf702Wo9IM
T7G6qluc2SWB3GoTcGbWxRdK9c4Z12s6FT0BvEZa9FI7RVbbuJ8lb2gAWIyRQ1iZL5wCxzbcMHhI
gXEKLzk+LofYmQnjW1EZp1Kn3yvbKqt6kmumRIRTpfJYzjuhYx7ej2RrPC91x5brxv+nU8ffFWWE
YBJTBUkqTdnnBNLddNjXpkbwdDm8WbqrVpvlHnEdTg4PNVcpWaGYX3WAvB/7baSN2LDCiDTHZybw
EWHESwn1fFFS5gGB4WEClo+T4VRzH4HvmqIjsUhGxmiOiFP45J1Bjw7dz830r/ws/lr5QLUsWRws
9NWVMnz5k2XtMuadG2U0WC2/OjkoJ6PTAhowWF1X/S+RNRY0kiwx95eUgRq0b04qQfklZqvoDJ1W
/lj/L8iQBBKpKXADo0bPGbDsyiXtoJ4lFBYFT6nKtmpwPBUD+DOLKYF0Fpi7VeAviwqt9QXl/7/7
o5+Wezfvls0LW+WZl26IGqFxmCQrhoSN9LLiYbRNe2oZoLY51qLjp0yRM5hrEfjh7Hn4NnSsPJyd
rPZ+mUzpAuG4YkxMDjngkkgJN9feiq4oVyYNI6/5vOffa4EGb8xdrLgWqC+EykEyp5WtCA6gYCW7
wRrLMjrSIoc/ps6UWfuJJ+c9dEnpLC21wybH0wZUJkM7vHdPJhrSMk/qDDt/Wm2pPGUjGDfGrRI7
hDvHpkN2lE4uodqQDj9krcLy9PyQwRyIz8b3ER4aWaA5g5RIM83tUeKSKaYabs6Yyml5ghDgsTqS
YIwy+435Sb7D+sDznDXWm5+RnVneiyyffx8dHpTRyYnKcTI6yT1HRvgbIT99yCH+H4YgotQw37qh
81ewegxnqvpYwO2qCRB14B9iivEIeqdhVkpLGz3x59jFZ+WUh2M6LocnJ2VzpV+GXNxzBmi9u3NT
dKMDA8qRg2V+Vnb9GiOLJS2uZn4wx9CCsmDWqwXiTIA81c3NTEcPazUone+9kN3pf1bftPGxc8aU
uA7vbTljZ13OQDiHVt2Cg4X85vfeKG//4L/L9d/+RHn6xecC8GbxTxYUBDyXGLjVEsnWnT+MMqf2
rSOLYdZt1ZmWII8AdqUTX+gYmurhsSVnKjwMZKDnSzJBKVWjkluZijEKjuQMeZG7na9MTC5C1t6S
gJ6CJliXu7B+L9Mv+HH5ZKxMmuPaxJLi4E5TTh1k4JD6BH6A2MaDRSoz6yibOjs+ajYVOwTNymoE
ADYtfgwsr8dCH+i+S9UjuoKpxuBrAf3G0tPODqwYS1YDl4zOaWpp6bqE/2E+I3wPSscR5wsPKzA8
lXnhBH7v9p1ytG/116br2EwOtMTjBV4ic7F0uKNSQOqa6y0p57MzvT/lGeW/SzFPINz+5c1yenAs
sH3n0m7bMHqSo/Ii5XpJ522EOcpqY1ybWfCHyZE/7KiTBt5f77BWZK5cB8IMbI8k0Cw1hbSzZysN
ZZ8x2UZ3rcxgYU9GZWN0VjZKp2yQXs+8Mydnqx4wcAcpB0pnKomyxKq5UDrRSv0hf5fdOHCUdF65
c/tOzAaG0iKgLuYRkRlYyzxGVGqXnyWyqqRmk/MyHWtIFGa2hloBqMWYdrrWCAYGYZAyeHp8Vsb3
TsrkiBa/u0bjOeYT3OyRdmFutnE1Lz7PesUAeJIPCWjra2Vrb6i/78zP2QoDxeiOU/aM0Oyi5MM1
JcpE6455Jm4VPFF0Cbe3WaSA1jov3I4VeCyFrJIzdOmlkU6rnyFqKAgihe7bGzJ5daHCSUlEtgG9
4u6tm6ZN9C3ZzHeSDXyw5Hc20YdaV4nHgra8DIHPcjf8G7zm3u27Ki15EkTyjfJv3gy1m2YBs5v7
Y8E73HAs4ayN5vhYpdpaf7Vc2B1aAQFWP3ZsUd6ysabTEZMDbCwESMzIaYRMV9fUobNWFjgjrHLK
aygTNETczeXcqS7IjsmqLSXjrMvDyARlvCRpsrijHRSwhWfdqhQe0+I8Du/eUZmtDLB4DGv3ymU9
9yliSOb5L3/7D+Wd/3yrfOkPf6986Vtfbcw0HudYxtM4EnfOyoADkN2y4C195KMA+vXn8DzSXAIX
S1csvXeqD88eOWA5QLGQ2qsbQSDUD8fzThmvlDLqzsspHa+zkzJYWy27EOhYMEizBI9ImEnyseJC
JJlN1kQxk5g7Zo7u1PSHepwg9bvJrlQahJsyC4TsAjbydIAJwXrD9G0CYpaJIdVRjwzJ6GI219gF
7GZlVzzk6QWYGSAk2eikrG+sllf/9BvlpW98PmR4NWEbmFdHgUfnId1y25FLA1y7OFlNjOlITjm0
uOhmSQedH+/U7Kwca+vwhcDzwuYpLNRXepV+UNcdSInQkSXE9RTtQ4RN7+rdPvNrBsQpYQgykzGq
As5AGEHhsdwMKWDKK2gTSR5UhkBJdzKSAoWwQ77nxLrpbC6Xn3pK3U0NXx8c6rONc6IEEUzwbkeB
mNvNa+TsTHlPgEftdeJOGIx9XMC5v1evPqV7yTMDMM9co3AogvlgIJCc87t98wPZooEpZWk63Lvo
IWTxjFz2ZMEv8nDgfZwDmS5Bi2dL1vSFjA5NemY5UcZAsgdjirkcpWXGigKqbL/QUANjO9KwOgx7
88Uq9Qoxxk/LweFBOTk7KR0Nop8IaoGU2V9dLXuXLssGzXZdMRc5PS8f/OS9cvft98vJrX0ZwD7K
qq7LizoxqNVasqEmj8bQ72f8yATbEElcjryPcNS+pfVoHLw4NrtOP5phITbQ2P093sc8/Nvz1ce0
d3ulnCEqh2XV4YFm1NbgsKg9Ttub7CgJxiwWj70o40oV2GrGMIH65CEtqz1kBpetYXainHynJS59
dEZzOjbjTOA53yvLv3rMiAdAwoKYIYANsd3mxVWJ64CYmZByNZWPYzGXr1y/1uohVbrjKlMZ+ZAZ
AmWSpXHUSTvHWLU1FNVDwwOLcN09pEA82IwDjTtvnn/jwbfuuDuzZDoqxVTC5LQ+c3L+d5YtBCsO
BYNwkrZagg0xaFjkEDZYEyYhGv+IjMRE1VN1lMkoNBmx0i17Vy6XERgW14hsjEyNgLVuk1nKqMOD
/ZBnmSnrubC7py5qWjlxbYfh4E1wpDNFYCIzE6UAtn3gP2vrBtU5f2VOoZl/ykykJgNsUSaLKTJM
tPKhmGzY/IKfWzdvhSt1DOQrM3b7nmeAQOTGhuVcROKkrc/8p/CzWRmdQlEZ28hUn2lmvigY24jp
XbB4IgoPAwIb5+1Jh3iQm5IL9QoKGa4hQYJgB2erL1XRgdZMDSNAx/ijv/izcu/bt8vV566L0vNI
i7Yiy0Re0tB9kk6Uci+2GbMSa+LGriBijrCqNj6sNKznhL2wvLbM59p2tiUqSpzDeCKHKDbe30jA
Ct6etaO5Cd0IHNgC4SkHwApQiKwGC1hdN3ABWsA9ZUfqEFCKdBxEUiKEo7loS6B92+GLGUdKI/xA
Q7o4O4ONC3DcmMykUsYiB5GTwS4JXeppzTFSjgSPKcUIo4uTGWANklpu2p+Vrjr1eAWHH4C29s/z
MSPfriuJ3cnQgJJk1cxst9JDgK2TMiOQL21pRfs8LaU6MdoCAFyz+lMxom5KGDcJkiGBFp2umc9V
s4wjZgxpRLg7xgJlk5FZK5byWKVD4iQ7nY4kW6wsgFsYji0oTbLQoWPA+9vehTy5q8XsgW9nr1Af
uAg5NyirqrA790xk6NOTVY6MO3GkNZwaBSBmUsw1xsmcpCVskHbZKFvbSFz3lekBZjeGwmQ9YcBK
qcpnrA3gGpmRTtmdM388G5RoHntC8ue0nJ/5umr6QBt0O18oRjvPFBzD0KdqFA8iOFCmq7yWOONM
12Jj03IxPQHcoYoSi1nUkn6/PPep58vTzz/bzKX+2mDRjMlF4KikpTIBsOemG1h6Vtj8UD8NVWBh
ndEJVakIJ2w1mggP8/6MiqRNOrze0u9SQP4a8kSL5s5aBzEG9n/F53YTXPW+cgAAAABJRU5ErkJg
gg==</Data>
</Thumbnail>
</Binary>
</metadata>
