20241106 13540100 1.0 FALSE GG_EJ_Areas_20241106 002 file://\\chesconse-app01\E\GIS\_Web_Services\GatherandGrow\GatherandGrow.gdb Local Area Network Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> WGS_1984_Web_Mercator_Auxiliary_Sphere ExportFeatures "usa selection" C:\Users\rhill\Documents\ArcGIS\Projects\Scratch_Work\Scratch_Work.gdb\Block_groups_DELETE # NOT_USE_ALIAS "GEOID10 "GEOID10" true true false 80 Text 0 0,First,#,usa selection,GEOID10,0,79;SF "SF" true true false 80 Text 0 0,First,#,usa selection,SF,0,79;CF "CF" true true false 80 Text 0 0,First,#,usa selection,CF,0,79;DF_PFS "DF_PFS" true true false 24 Double 15 23,First,#,usa selection,DF_PFS,-1,-1;AF_PFS "AF_PFS" true true false 24 Double 15 23,First,#,usa selection,AF_PFS,-1,-1;HDF_PFS "HDF_PFS" true true false 24 Double 15 23,First,#,usa selection,HDF_PFS,-1,-1;DSF_PFS "DSF_PFS" true true false 24 Double 15 23,First,#,usa selection,DSF_PFS,-1,-1;EBF_PFS "EBF_PFS" true true false 24 Double 15 23,First,#,usa selection,EBF_PFS,-1,-1;EALR_PFS "EALR_PFS" true true false 24 Double 15 23,First,#,usa selection,EALR_PFS,-1,-1;EBLR_PFS "EBLR_PFS" true true false 24 Double 15 23,First,#,usa selection,EBLR_PFS,-1,-1;EPLR_PFS "EPLR_PFS" true true false 24 Double 15 23,First,#,usa selection,EPLR_PFS,-1,-1;HBF_PFS "HBF_PFS" true true false 24 Double 15 23,First,#,usa selection,HBF_PFS,-1,-1;LLEF_PFS "LLEF_PFS" true true false 24 Double 15 23,First,#,usa selection,LLEF_PFS,-1,-1;LIF_PFS "LIF_PFS" true true false 24 Double 15 23,First,#,usa selection,LIF_PFS,-1,-1;LMI_PFS "LMI_PFS" true true false 24 Double 15 23,First,#,usa selection,LMI_PFS,-1,-1;PM25F_PFS "PM25F_PFS" true true false 24 Double 15 23,First,#,usa selection,PM25F_PFS,-1,-1;HSEF "HSEF" true true false 24 Double 15 23,First,#,usa selection,HSEF,-1,-1;P100_PFS "P100_PFS" true true false 24 Double 15 23,First,#,usa selection,P100_PFS,-1,-1;P200_I_PFS "P200_I_PFS" true true false 24 Double 15 23,First,#,usa selection,P200_I_PFS,-1,-1;AJDLI_ET "AJDLI_ET" true true false 9 Long 0 9,First,#,usa selection,AJDLI_ET,-1,-1;LPF_PFS "LPF_PFS" true true false 24 Double 15 23,First,#,usa selection,LPF_PFS,-1,-1;KP_PFS "KP_PFS" true true false 24 Double 15 23,First,#,usa selection,KP_PFS,-1,-1;NPL_PFS "NPL_PFS" true true false 24 Double 15 23,First,#,usa selection,NPL_PFS,-1,-1;RMP_PFS "RMP_PFS" true true false 24 Double 15 23,First,#,usa selection,RMP_PFS,-1,-1;TSDF_PFS "TSDF_PFS" true true false 24 Double 15 23,First,#,usa selection,TSDF_PFS,-1,-1;TPF "TPF" true true false 24 Double 15 23,First,#,usa selection,TPF,-1,-1;TF_PFS "TF_PFS" true true false 24 Double 15 23,First,#,usa selection,TF_PFS,-1,-1;UF_PFS "UF_PFS" true true false 24 Double 15 23,First,#,usa selection,UF_PFS,-1,-1;WF_PFS "WF_PFS" true true false 24 Double 15 23,First,#,usa selection,WF_PFS,-1,-1;UST_PFS "UST_PFS" true true false 24 Double 15 23,First,#,usa selection,UST_PFS,-1,-1;N_WTR "N_WTR" true true false 9 Long 0 9,First,#,usa selection,N_WTR,-1,-1;N_WKFC "N_WKFC" true true false 9 Long 0 9,First,#,usa selection,N_WKFC,-1,-1;N_CLT "N_CLT" true true false 9 Long 0 9,First,#,usa selection,N_CLT,-1,-1;N_ENY "N_ENY" true true false 9 Long 0 9,First,#,usa selection,N_ENY,-1,-1;N_TRN "N_TRN" true true false 9 Long 0 9,First,#,usa selection,N_TRN,-1,-1;N_HSG "N_HSG" true true false 9 Long 0 9,First,#,usa selection,N_HSG,-1,-1;N_PLN "N_PLN" true true false 9 Long 0 9,First,#,usa selection,N_PLN,-1,-1;N_HLTH "N_HLTH" true true false 9 Long 0 9,First,#,usa selection,N_HLTH,-1,-1;SN_C "SN_C" true true false 9 Long 0 9,First,#,usa selection,SN_C,-1,-1;SN_T "SN_T" true true false 80 Text 0 0,First,#,usa selection,SN_T,0,79;DLI "DLI" true true false 9 Long 0 9,First,#,usa selection,DLI,-1,-1;ALI "ALI" true true false 9 Long 0 9,First,#,usa selection,ALI,-1,-1;PLHSE "PLHSE" true true false 9 Long 0 9,First,#,usa selection,PLHSE,-1,-1;LMILHSE "LMILHSE" true true false 9 Long 0 9,First,#,usa selection,LMILHSE,-1,-1;ULHSE "ULHSE" true true false 9 Long 0 9,First,#,usa selection,ULHSE,-1,-1;EPL_ET "EPL_ET" true true false 9 Long 0 9,First,#,usa selection,EPL_ET,-1,-1;EAL_ET "EAL_ET" true true false 9 Long 0 9,First,#,usa selection,EAL_ET,-1,-1;EBL_ET "EBL_ET" true true false 9 Long 0 9,First,#,usa selection,EBL_ET,-1,-1;EB_ET "EB_ET" true true false 9 Long 0 9,First,#,usa selection,EB_ET,-1,-1;PM25_ET "PM25_ET" true true false 9 Long 0 9,First,#,usa selection,PM25_ET,-1,-1;DS_ET "DS_ET" true true false 9 Long 0 9,First,#,usa selection,DS_ET,-1,-1;TP_ET "TP_ET" true true false 9 Long 0 9,First,#,usa selection,TP_ET,-1,-1;LPP_ET "LPP_ET" true true false 9 Long 0 9,First,#,usa selection,LPP_ET,-1,-1;HRS_ET "HRS_ET" true true false 80 Text 0 0,First,#,usa selection,HRS_ET,0,79;KP_ET "KP_ET" true true false 9 Long 0 9,First,#,usa selection,KP_ET,-1,-1;HB_ET "HB_ET" true true false 9 Long 0 9,First,#,usa selection,HB_ET,-1,-1;RMP_ET "RMP_ET" true true false 9 Long 0 9,First,#,usa selection,RMP_ET,-1,-1;NPL_ET "NPL_ET" true true false 9 Long 0 9,First,#,usa selection,NPL_ET,-1,-1;TSDF_ET "TSDF_ET" true true false 9 Long 0 9,First,#,usa selection,TSDF_ET,-1,-1;WD_ET "WD_ET" true true false 9 Long 0 9,First,#,usa selection,WD_ET,-1,-1;UST_ET "UST_ET" true true false 9 Long 0 9,First,#,usa selection,UST_ET,-1,-1;DB_ET "DB_ET" true true false 9 Long 0 9,First,#,usa selection,DB_ET,-1,-1;A_ET "A_ET" true true false 9 Long 0 9,First,#,usa selection,A_ET,-1,-1;HD_ET "HD_ET" true true false 9 Long 0 9,First,#,usa selection,HD_ET,-1,-1;LLE_ET "LLE_ET" true true false 9 Long 0 9,First,#,usa selection,LLE_ET,-1,-1;UN_ET "UN_ET" true true false 9 Long 0 9,First,#,usa selection,UN_ET,-1,-1;LISO_ET "LISO_ET" true true false 9 Long 0 9,First,#,usa selection,LISO_ET,-1,-1;POV_ET "POV_ET" true true false 9 Long 0 9,First,#,usa selection,POV_ET,-1,-1;LMI_ET "LMI_ET" true true false 9 Long 0 9,First,#,usa selection,LMI_ET,-1,-1;IA_LMI_ET "IA_LMI_ET" true true false 9 Long 0 9,First,#,usa selection,IA_LMI_ET,-1,-1;IA_UN_ET "IA_UN_ET" true true false 9 Long 0 9,First,#,usa selection,IA_UN_ET,-1,-1;IA_POV_ET "IA_POV_ET" true true false 9 Long 0 9,First,#,usa selection,IA_POV_ET,-1,-1;TC "TC" true true false 18 Double 0 18,First,#,usa selection,TC,-1,-1;CC "CC" true true false 24 Double 15 23,First,#,usa selection,CC,-1,-1;IAULHSE "IAULHSE" true true false 9 Long 0 9,First,#,usa selection,IAULHSE,-1,-1;IAPLHSE "IAPLHSE" true true false 9 Long 0 9,First,#,usa selection,IAPLHSE,-1,-1;IALMILHSE "IALMILHSE" true true false 9 Long 0 9,First,#,usa selection,IALMILHSE,-1,-1;IALMIL_76 "IALMIL_76" true true false 24 Double 15 23,First,#,usa selection,IALMIL_76,-1,-1;IAPLHS_77 "IAPLHS_77" true true false 24 Double 15 23,First,#,usa selection,IAPLHS_77,-1,-1;IAULHS_78 "IAULHS_78" true true false 24 Double 15 23,First,#,usa selection,IAULHS_78,-1,-1;LHE "LHE" true true false 9 Long 0 9,First,#,usa selection,LHE,-1,-1;IALHE "IALHE" true true false 9 Long 0 9,First,#,usa selection,IALHE,-1,-1;IAHSEF "IAHSEF" true true false 24 Double 15 23,First,#,usa selection,IAHSEF,-1,-1;N_CLT_EOMI "N_CLT_EOMI" true true false 9 Long 0 9,First,#,usa selection,N_CLT_EOMI,-1,-1;N_ENY_EOMI "N_ENY_EOMI" true true false 9 Long 0 9,First,#,usa selection,N_ENY_EOMI,-1,-1;N_TRN_EOMI "N_TRN_EOMI" true true false 9 Long 0 9,First,#,usa selection,N_TRN_EOMI,-1,-1;N_HSG_EOMI "N_HSG_EOMI" true true false 9 Long 0 9,First,#,usa selection,N_HSG_EOMI,-1,-1;N_PLN_EOMI "N_PLN_EOMI" true true false 9 Long 0 9,First,#,usa selection,N_PLN_EOMI,-1,-1;N_WTR_EOMI "N_WTR_EOMI" true true false 9 Long 0 9,First,#,usa selection,N_WTR_EOMI,-1,-1;N_HLTH_88 "N_HLTH_88" true true false 9 Long 0 9,First,#,usa selection,N_HLTH_88,-1,-1;N_WKFC_89 "N_WKFC_89" true true false 9 Long 0 9,First,#,usa selection,N_WKFC_89,-1,-1;FPL200S "FPL200S" true true false 9 Long 0 9,First,#,usa selection,FPL200S,-1,-1;N_WKFC_91 "N_WKFC_91" true true false 9 Long 0 9,First,#,usa selection,N_WKFC_91,-1,-1;TD_ET "TD_ET" true true false 9 Long 0 9,First,#,usa selection,TD_ET,-1,-1;TD_PFS "TD_PFS" true true false 24 Double 15 23,First,#,usa selection,TD_PFS,-1,-1;FLD_PFS "FLD_PFS" true true false 24 Double 15 23,First,#,usa selection,FLD_PFS,-1,-1;WFR_PFS "WFR_PFS" true true false 24 Double 15 23,First,#,usa selection,WFR_PFS,-1,-1;FLD_ET "FLD_ET" true true false 9 Long 0 9,First,#,usa selection,FLD_ET,-1,-1;WFR_ET "WFR_ET" true true false 9 Long 0 9,First,#,usa selection,WFR_ET,-1,-1;ADJ_ET "ADJ_ET" true true false 9 Long 0 9,First,#,usa selection,ADJ_ET,-1,-1;IS_PFS "IS_PFS" true true false 24 Double 15 23,First,#,usa selection,IS_PFS,-1,-1;IS_ET "IS_ET" true true false 9 Long 0 9,First,#,usa selection,IS_ET,-1,-1;AML_ET "AML_ET" true true false 9 Long 0 9,First,#,usa selection,AML_ET,-1,-1;FUDS_RAW "FUDS_RAW" true true false 80 Text 0 0,First,#,usa selection,FUDS_RAW,0,79;FUDS_ET "FUDS_ET" true true false 9 Long 0 9,First,#,usa selection,FUDS_ET,-1,-1;IMP_FLG "IMP_FLG" true true false 80 Text 0 0,First,#,usa selection,IMP_FLG,0,79;DM_B "DM_B" true true false 24 Double 15 23,First,#,usa selection,DM_B,-1,-1;DM_AI "DM_AI" true true false 24 Double 15 23,First,#,usa selection,DM_AI,-1,-1;DM_A "DM_A" true true false 24 Double 15 23,First,#,usa selection,DM_A,-1,-1;DM_HI "DM_HI" true true false 24 Double 15 23,First,#,usa selection,DM_HI,-1,-1;DM_T "DM_T" true true false 24 Double 15 23,First,#,usa selection,DM_T,-1,-1;DM_W "DM_W" true true false 24 Double 15 23,First,#,usa selection,DM_W,-1,-1;DM_H "DM_H" true true false 24 Double 15 23,First,#,usa selection,DM_H,-1,-1;DM_O "DM_O" true true false 24 Double 15 23,First,#,usa selection,DM_O,-1,-1;AGE_10 "AGE_10" true true false 24 Double 15 23,First,#,usa selection,AGE_10,-1,-1;AGE_MIDDLE "AGE_MIDDLE" true true false 24 Double 15 23,First,#,usa selection,AGE_MIDDLE,-1,-1;AGE_OLD "AGE_OLD" true true false 24 Double 15 23,First,#,usa selection,AGE_OLD,-1,-1;TA_COU_116 "TA_COU_116" true true false 24 Double 15 23,First,#,usa selection,TA_COU_116,-1,-1;TA_COUNT_C "TA_COUNT_C" true true false 24 Double 15 23,First,#,usa selection,TA_COUNT_C,-1,-1;TA_PERC "TA_PERC" true true false 24 Double 15 23,First,#,usa selection,TA_PERC,-1,-1;TA_PERC_FE "TA_PERC_FE" true true false 24 Double 15 23,First,#,usa selection,TA_PERC_FE,-1,-1;UI_EXP "UI_EXP" true true false 80 Text 0 0,First,#,usa selection,UI_EXP,0,79;THRHLD "THRHLD" true true false 18 Double 0 18,First,#,usa selection,THRHLD,-1,-1" # ExportFeatures Block_groups_DELETE C:\Users\rhill\Documents\ArcGIS\Projects\Scratch_Work\Scratch_Work.gdb\GG_Opportunity_Zones # NOT_USE_ALIAS "GEOID10 "GEOID10" true true false 80 Text 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.GEOID10,0,79;SF "SF" true true false 80 Text 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.SF,0,79;CF "CF" true true false 80 Text 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.CF,0,79;DF_PFS "DF_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.DF_PFS,-1,-1;AF_PFS "AF_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.AF_PFS,-1,-1;HDF_PFS "HDF_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.HDF_PFS,-1,-1;DSF_PFS "DSF_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.DSF_PFS,-1,-1;EBF_PFS "EBF_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.EBF_PFS,-1,-1;EALR_PFS "EALR_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.EALR_PFS,-1,-1;EBLR_PFS "EBLR_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.EBLR_PFS,-1,-1;EPLR_PFS "EPLR_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.EPLR_PFS,-1,-1;HBF_PFS "HBF_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.HBF_PFS,-1,-1;LLEF_PFS "LLEF_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.LLEF_PFS,-1,-1;LIF_PFS "LIF_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.LIF_PFS,-1,-1;LMI_PFS "LMI_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.LMI_PFS,-1,-1;PM25F_PFS "PM25F_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.PM25F_PFS,-1,-1;HSEF "HSEF" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.HSEF,-1,-1;P100_PFS "P100_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.P100_PFS,-1,-1;P200_I_PFS "P200_I_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.P200_I_PFS,-1,-1;AJDLI_ET "AJDLI_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.AJDLI_ET,-1,-1;LPF_PFS "LPF_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.LPF_PFS,-1,-1;KP_PFS "KP_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.KP_PFS,-1,-1;NPL_PFS "NPL_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.NPL_PFS,-1,-1;RMP_PFS "RMP_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.RMP_PFS,-1,-1;TSDF_PFS "TSDF_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.TSDF_PFS,-1,-1;TPF "TPF" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.TPF,-1,-1;TF_PFS "TF_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.TF_PFS,-1,-1;UF_PFS "UF_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.UF_PFS,-1,-1;WF_PFS "WF_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.WF_PFS,-1,-1;UST_PFS "UST_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.UST_PFS,-1,-1;N_WTR "N_WTR" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_WTR,-1,-1;N_WKFC "N_WKFC" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_WKFC,-1,-1;N_CLT "N_CLT" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_CLT,-1,-1;N_ENY "N_ENY" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_ENY,-1,-1;N_TRN "N_TRN" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_TRN,-1,-1;N_HSG "N_HSG" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_HSG,-1,-1;N_PLN "N_PLN" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_PLN,-1,-1;N_HLTH "N_HLTH" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_HLTH,-1,-1;SN_C "SN_C" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.SN_C,-1,-1;SN_T "SN_T" true true false 80 Text 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.SN_T,0,79;DLI "DLI" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.DLI,-1,-1;ALI "ALI" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.ALI,-1,-1;PLHSE "PLHSE" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.PLHSE,-1,-1;LMILHSE "LMILHSE" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.LMILHSE,-1,-1;ULHSE "ULHSE" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.ULHSE,-1,-1;EPL_ET "EPL_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.EPL_ET,-1,-1;EAL_ET "EAL_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.EAL_ET,-1,-1;EBL_ET "EBL_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.EBL_ET,-1,-1;EB_ET "EB_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.EB_ET,-1,-1;PM25_ET "PM25_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.PM25_ET,-1,-1;DS_ET "DS_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.DS_ET,-1,-1;TP_ET "TP_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.TP_ET,-1,-1;LPP_ET "LPP_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.LPP_ET,-1,-1;HRS_ET "HRS_ET" true true false 80 Text 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.HRS_ET,0,79;KP_ET "KP_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.KP_ET,-1,-1;HB_ET "HB_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.HB_ET,-1,-1;RMP_ET "RMP_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.RMP_ET,-1,-1;NPL_ET "NPL_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.NPL_ET,-1,-1;TSDF_ET "TSDF_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.TSDF_ET,-1,-1;WD_ET "WD_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.WD_ET,-1,-1;UST_ET "UST_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.UST_ET,-1,-1;DB_ET "DB_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.DB_ET,-1,-1;A_ET "A_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.A_ET,-1,-1;HD_ET "HD_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.HD_ET,-1,-1;LLE_ET "LLE_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.LLE_ET,-1,-1;UN_ET "UN_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.UN_ET,-1,-1;LISO_ET "LISO_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.LISO_ET,-1,-1;POV_ET "POV_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.POV_ET,-1,-1;LMI_ET "LMI_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.LMI_ET,-1,-1;IA_LMI_ET "IA_LMI_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.IA_LMI_ET,-1,-1;IA_UN_ET "IA_UN_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.IA_UN_ET,-1,-1;IA_POV_ET "IA_POV_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.IA_POV_ET,-1,-1;TC "TC" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.TC,-1,-1;CC "CC" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.CC,-1,-1;IAULHSE "IAULHSE" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.IAULHSE,-1,-1;IAPLHSE "IAPLHSE" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.IAPLHSE,-1,-1;IALMILHSE "IALMILHSE" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.IALMILHSE,-1,-1;IALMIL_76 "IALMIL_76" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.IALMIL_76,-1,-1;IAPLHS_77 "IAPLHS_77" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.IAPLHS_77,-1,-1;IAULHS_78 "IAULHS_78" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.IAULHS_78,-1,-1;LHE "LHE" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.LHE,-1,-1;IALHE "IALHE" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.IALHE,-1,-1;IAHSEF "IAHSEF" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.IAHSEF,-1,-1;N_CLT_EOMI "N_CLT_EOMI" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_CLT_EOMI,-1,-1;N_ENY_EOMI "N_ENY_EOMI" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_ENY_EOMI,-1,-1;N_TRN_EOMI "N_TRN_EOMI" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_TRN_EOMI,-1,-1;N_HSG_EOMI "N_HSG_EOMI" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_HSG_EOMI,-1,-1;N_PLN_EOMI "N_PLN_EOMI" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_PLN_EOMI,-1,-1;N_WTR_EOMI "N_WTR_EOMI" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_WTR_EOMI,-1,-1;N_HLTH_88 "N_HLTH_88" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_HLTH_88,-1,-1;N_WKFC_89 "N_WKFC_89" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_WKFC_89,-1,-1;FPL200S "FPL200S" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.FPL200S,-1,-1;N_WKFC_91 "N_WKFC_91" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.N_WKFC_91,-1,-1;TD_ET "TD_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.TD_ET,-1,-1;TD_PFS "TD_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.TD_PFS,-1,-1;FLD_PFS "FLD_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.FLD_PFS,-1,-1;WFR_PFS "WFR_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.WFR_PFS,-1,-1;FLD_ET "FLD_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.FLD_ET,-1,-1;WFR_ET "WFR_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.WFR_ET,-1,-1;ADJ_ET "ADJ_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.ADJ_ET,-1,-1;IS_PFS "IS_PFS" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.IS_PFS,-1,-1;IS_ET "IS_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.IS_ET,-1,-1;AML_ET "AML_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.AML_ET,-1,-1;FUDS_RAW "FUDS_RAW" true true false 80 Text 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.FUDS_RAW,0,79;FUDS_ET "FUDS_ET" true true false 4 Long 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.FUDS_ET,-1,-1;IMP_FLG "IMP_FLG" true true false 80 Text 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.IMP_FLG,0,79;DM_B "DM_B" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.DM_B,-1,-1;DM_AI "DM_AI" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.DM_AI,-1,-1;DM_A "DM_A" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.DM_A,-1,-1;DM_HI "DM_HI" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.DM_HI,-1,-1;DM_T "DM_T" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.DM_T,-1,-1;DM_W "DM_W" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.DM_W,-1,-1;DM_H "DM_H" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.DM_H,-1,-1;DM_O "DM_O" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.DM_O,-1,-1;AGE_10 "AGE_10" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.AGE_10,-1,-1;AGE_MIDDLE "AGE_MIDDLE" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.AGE_MIDDLE,-1,-1;AGE_OLD "AGE_OLD" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.AGE_OLD,-1,-1;TA_COU_116 "TA_COU_116" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.TA_COU_116,-1,-1;TA_COUNT_C "TA_COUNT_C" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.TA_COUNT_C,-1,-1;TA_PERC "TA_PERC" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.TA_PERC,-1,-1;TA_PERC_FE "TA_PERC_FE" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.TA_PERC_FE,-1,-1;UI_EXP "UI_EXP" true true false 80 Text 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.UI_EXP,0,79;THRHLD "THRHLD" true true false 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.THRHLD,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Block_groups_DELETE,Block_groups_DELETE.Shape_Area,-1,-1;OBJECTID "OBJECTID" false true false 4 Long 0 9,First,#,Block_groups_DELETE,GG_test.OBJECTID,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Block_groups_DELETE,GG_test.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Block_groups_DELETE,GG_test.Shape_Area,-1,-1;Tract "Tract" true true false 255 Text 0 0,First,#,Block_groups_DELETE,GG_test.Tract,0,254" # Merge GG_Opportunity_Zones;GG_PA_EJ_Screen;GG_CEJST_Tool;GG_EPA_IRA_Disadv C:\Users\rhill\Documents\ArcGIS\Projects\Scratch_Work\Scratch_Work.gdb\GG_EJ_Merge "GEOID10 "GEOID10" true true false 80 Text 0 0,First,#,GG_Opportunity_Zones,GEOID10,0,79,GG_CEJST_Tool,GEOID10,0,79;SF "SF" true true false 80 Text 0 0,First,#,GG_Opportunity_Zones,SF,0,79,GG_CEJST_Tool,SF,0,79;CF "CF" true true false 80 Text 0 0,First,#,GG_Opportunity_Zones,CF,0,79,GG_CEJST_Tool,CF,0,79;DF_PFS "DF_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,DF_PFS,-1,-1,GG_CEJST_Tool,DF_PFS,-1,-1;AF_PFS "AF_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,AF_PFS,-1,-1,GG_CEJST_Tool,AF_PFS,-1,-1;HDF_PFS "HDF_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,HDF_PFS,-1,-1,GG_CEJST_Tool,HDF_PFS,-1,-1;DSF_PFS "DSF_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,DSF_PFS,-1,-1,GG_CEJST_Tool,DSF_PFS,-1,-1;EBF_PFS "EBF_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,EBF_PFS,-1,-1,GG_CEJST_Tool,EBF_PFS,-1,-1;EALR_PFS "EALR_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,EALR_PFS,-1,-1,GG_CEJST_Tool,EALR_PFS,-1,-1;EBLR_PFS "EBLR_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,EBLR_PFS,-1,-1,GG_CEJST_Tool,EBLR_PFS,-1,-1;EPLR_PFS "EPLR_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,EPLR_PFS,-1,-1,GG_CEJST_Tool,EPLR_PFS,-1,-1;HBF_PFS "HBF_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,HBF_PFS,-1,-1,GG_CEJST_Tool,HBF_PFS,-1,-1;LLEF_PFS "LLEF_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,LLEF_PFS,-1,-1,GG_CEJST_Tool,LLEF_PFS,-1,-1;LIF_PFS "LIF_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,LIF_PFS,-1,-1,GG_CEJST_Tool,LIF_PFS,-1,-1;LMI_PFS "LMI_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,LMI_PFS,-1,-1,GG_CEJST_Tool,LMI_PFS,-1,-1;PM25F_PFS "PM25F_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,PM25F_PFS,-1,-1,GG_CEJST_Tool,PM25F_PFS,-1,-1;HSEF "HSEF" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,HSEF,-1,-1,GG_CEJST_Tool,HSEF,-1,-1;P100_PFS "P100_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,P100_PFS,-1,-1,GG_CEJST_Tool,P100_PFS,-1,-1;P200_I_PFS "P200_I_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,P200_I_PFS,-1,-1,GG_CEJST_Tool,P200_I_PFS,-1,-1;AJDLI_ET "AJDLI_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,AJDLI_ET,-1,-1,GG_CEJST_Tool,AJDLI_ET,-1,-1;LPF_PFS "LPF_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,LPF_PFS,-1,-1,GG_CEJST_Tool,LPF_PFS,-1,-1;KP_PFS "KP_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,KP_PFS,-1,-1,GG_CEJST_Tool,KP_PFS,-1,-1;NPL_PFS "NPL_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,NPL_PFS,-1,-1,GG_CEJST_Tool,NPL_PFS,-1,-1;RMP_PFS "RMP_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,RMP_PFS,-1,-1,GG_CEJST_Tool,RMP_PFS,-1,-1;TSDF_PFS "TSDF_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,TSDF_PFS,-1,-1,GG_CEJST_Tool,TSDF_PFS,-1,-1;TPF "TPF" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,TPF,-1,-1,GG_CEJST_Tool,TPF,-1,-1;TF_PFS "TF_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,TF_PFS,-1,-1,GG_CEJST_Tool,TF_PFS,-1,-1;UF_PFS "UF_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,UF_PFS,-1,-1,GG_CEJST_Tool,UF_PFS,-1,-1;WF_PFS "WF_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,WF_PFS,-1,-1,GG_CEJST_Tool,WF_PFS,-1,-1;UST_PFS "UST_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,UST_PFS,-1,-1,GG_CEJST_Tool,UST_PFS,-1,-1;N_WTR "N_WTR" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_WTR,-1,-1,GG_CEJST_Tool,N_WTR,-1,-1;N_WKFC "N_WKFC" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_WKFC,-1,-1,GG_CEJST_Tool,N_WKFC,-1,-1;N_CLT "N_CLT" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_CLT,-1,-1,GG_CEJST_Tool,N_CLT,-1,-1;N_ENY "N_ENY" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_ENY,-1,-1,GG_CEJST_Tool,N_ENY,-1,-1;N_TRN "N_TRN" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_TRN,-1,-1,GG_CEJST_Tool,N_TRN,-1,-1;N_HSG "N_HSG" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_HSG,-1,-1,GG_CEJST_Tool,N_HSG,-1,-1;N_PLN "N_PLN" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_PLN,-1,-1,GG_CEJST_Tool,N_PLN,-1,-1;N_HLTH "N_HLTH" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_HLTH,-1,-1,GG_CEJST_Tool,N_HLTH,-1,-1;SN_C "SN_C" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,SN_C,-1,-1,GG_CEJST_Tool,SN_C,-1,-1;SN_T "SN_T" true true false 80 Text 0 0,First,#,GG_Opportunity_Zones,SN_T,0,79,GG_CEJST_Tool,SN_T,0,79;DLI "DLI" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,DLI,-1,-1,GG_CEJST_Tool,DLI,-1,-1;ALI "ALI" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,ALI,-1,-1,GG_CEJST_Tool,ALI,-1,-1;PLHSE "PLHSE" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,PLHSE,-1,-1,GG_CEJST_Tool,PLHSE,-1,-1;LMILHSE "LMILHSE" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,LMILHSE,-1,-1,GG_CEJST_Tool,LMILHSE,-1,-1;ULHSE "ULHSE" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,ULHSE,-1,-1,GG_CEJST_Tool,ULHSE,-1,-1;EPL_ET "EPL_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,EPL_ET,-1,-1,GG_CEJST_Tool,EPL_ET,-1,-1;EAL_ET "EAL_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,EAL_ET,-1,-1,GG_CEJST_Tool,EAL_ET,-1,-1;EBL_ET "EBL_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,EBL_ET,-1,-1,GG_CEJST_Tool,EBL_ET,-1,-1;EB_ET "EB_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,EB_ET,-1,-1,GG_CEJST_Tool,EB_ET,-1,-1;PM25_ET "PM25_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,PM25_ET,-1,-1,GG_CEJST_Tool,PM25_ET,-1,-1;DS_ET "DS_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,DS_ET,-1,-1,GG_CEJST_Tool,DS_ET,-1,-1;TP_ET "TP_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,TP_ET,-1,-1,GG_CEJST_Tool,TP_ET,-1,-1;LPP_ET "LPP_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,LPP_ET,-1,-1,GG_CEJST_Tool,LPP_ET,-1,-1;HRS_ET "HRS_ET" true true false 80 Text 0 0,First,#,GG_Opportunity_Zones,HRS_ET,0,79,GG_CEJST_Tool,HRS_ET,0,79;KP_ET "KP_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,KP_ET,-1,-1,GG_CEJST_Tool,KP_ET,-1,-1;HB_ET "HB_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,HB_ET,-1,-1,GG_CEJST_Tool,HB_ET,-1,-1;RMP_ET "RMP_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,RMP_ET,-1,-1,GG_CEJST_Tool,RMP_ET,-1,-1;NPL_ET "NPL_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,NPL_ET,-1,-1,GG_CEJST_Tool,NPL_ET,-1,-1;TSDF_ET "TSDF_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,TSDF_ET,-1,-1,GG_CEJST_Tool,TSDF_ET,-1,-1;WD_ET "WD_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,WD_ET,-1,-1,GG_CEJST_Tool,WD_ET,-1,-1;UST_ET "UST_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,UST_ET,-1,-1,GG_CEJST_Tool,UST_ET,-1,-1;DB_ET "DB_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,DB_ET,-1,-1,GG_CEJST_Tool,DB_ET,-1,-1;A_ET "A_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,A_ET,-1,-1,GG_CEJST_Tool,A_ET,-1,-1;HD_ET "HD_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,HD_ET,-1,-1,GG_CEJST_Tool,HD_ET,-1,-1;LLE_ET "LLE_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,LLE_ET,-1,-1,GG_CEJST_Tool,LLE_ET,-1,-1;UN_ET "UN_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,UN_ET,-1,-1,GG_CEJST_Tool,UN_ET,-1,-1;LISO_ET "LISO_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,LISO_ET,-1,-1,GG_CEJST_Tool,LISO_ET,-1,-1;POV_ET "POV_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,POV_ET,-1,-1,GG_CEJST_Tool,POV_ET,-1,-1;LMI_ET "LMI_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,LMI_ET,-1,-1,GG_CEJST_Tool,LMI_ET,-1,-1;IA_LMI_ET "IA_LMI_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,IA_LMI_ET,-1,-1,GG_CEJST_Tool,IA_LMI_ET,-1,-1;IA_UN_ET "IA_UN_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,IA_UN_ET,-1,-1,GG_CEJST_Tool,IA_UN_ET,-1,-1;IA_POV_ET "IA_POV_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,IA_POV_ET,-1,-1,GG_CEJST_Tool,IA_POV_ET,-1,-1;TC "TC" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,TC,-1,-1,GG_CEJST_Tool,TC,-1,-1;CC "CC" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,CC,-1,-1,GG_CEJST_Tool,CC,-1,-1;IAULHSE "IAULHSE" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,IAULHSE,-1,-1,GG_CEJST_Tool,IAULHSE,-1,-1;IAPLHSE "IAPLHSE" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,IAPLHSE,-1,-1,GG_CEJST_Tool,IAPLHSE,-1,-1;IALMILHSE "IALMILHSE" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,IALMILHSE,-1,-1,GG_CEJST_Tool,IALMILHSE,-1,-1;IALMIL_76 "IALMIL_76" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,IALMIL_76,-1,-1,GG_CEJST_Tool,IALMIL_76,-1,-1;IAPLHS_77 "IAPLHS_77" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,IAPLHS_77,-1,-1,GG_CEJST_Tool,IAPLHS_77,-1,-1;IAULHS_78 "IAULHS_78" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,IAULHS_78,-1,-1,GG_CEJST_Tool,IAULHS_78,-1,-1;LHE "LHE" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,LHE,-1,-1,GG_CEJST_Tool,LHE,-1,-1;IALHE "IALHE" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,IALHE,-1,-1,GG_CEJST_Tool,IALHE,-1,-1;IAHSEF "IAHSEF" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,IAHSEF,-1,-1,GG_CEJST_Tool,IAHSEF,-1,-1;N_CLT_EOMI "N_CLT_EOMI" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_CLT_EOMI,-1,-1,GG_CEJST_Tool,N_CLT_EOMI,-1,-1;N_ENY_EOMI "N_ENY_EOMI" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_ENY_EOMI,-1,-1,GG_CEJST_Tool,N_ENY_EOMI,-1,-1;N_TRN_EOMI "N_TRN_EOMI" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_TRN_EOMI,-1,-1,GG_CEJST_Tool,N_TRN_EOMI,-1,-1;N_HSG_EOMI "N_HSG_EOMI" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_HSG_EOMI,-1,-1,GG_CEJST_Tool,N_HSG_EOMI,-1,-1;N_PLN_EOMI "N_PLN_EOMI" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_PLN_EOMI,-1,-1,GG_CEJST_Tool,N_PLN_EOMI,-1,-1;N_WTR_EOMI "N_WTR_EOMI" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_WTR_EOMI,-1,-1,GG_CEJST_Tool,N_WTR_EOMI,-1,-1;N_HLTH_88 "N_HLTH_88" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_HLTH_88,-1,-1,GG_CEJST_Tool,N_HLTH_88,-1,-1;N_WKFC_89 "N_WKFC_89" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_WKFC_89,-1,-1,GG_CEJST_Tool,N_WKFC_89,-1,-1;FPL200S "FPL200S" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,FPL200S,-1,-1,GG_CEJST_Tool,FPL200S,-1,-1;N_WKFC_91 "N_WKFC_91" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,N_WKFC_91,-1,-1,GG_CEJST_Tool,N_WKFC_91,-1,-1;TD_ET "TD_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,TD_ET,-1,-1,GG_CEJST_Tool,TD_ET,-1,-1;TD_PFS "TD_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,TD_PFS,-1,-1,GG_CEJST_Tool,TD_PFS,-1,-1;FLD_PFS "FLD_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,FLD_PFS,-1,-1,GG_CEJST_Tool,FLD_PFS,-1,-1;WFR_PFS "WFR_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,WFR_PFS,-1,-1,GG_CEJST_Tool,WFR_PFS,-1,-1;FLD_ET "FLD_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,FLD_ET,-1,-1,GG_CEJST_Tool,FLD_ET,-1,-1;WFR_ET "WFR_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,WFR_ET,-1,-1,GG_CEJST_Tool,WFR_ET,-1,-1;ADJ_ET "ADJ_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,ADJ_ET,-1,-1,GG_CEJST_Tool,ADJ_ET,-1,-1;IS_PFS "IS_PFS" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,IS_PFS,-1,-1,GG_CEJST_Tool,IS_PFS,-1,-1;IS_ET "IS_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,IS_ET,-1,-1,GG_CEJST_Tool,IS_ET,-1,-1;AML_ET "AML_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,AML_ET,-1,-1,GG_CEJST_Tool,AML_ET,-1,-1;FUDS_RAW "FUDS_RAW" true true false 80 Text 0 0,First,#,GG_Opportunity_Zones,FUDS_RAW,0,79,GG_CEJST_Tool,FUDS_RAW,0,79;FUDS_ET "FUDS_ET" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,FUDS_ET,-1,-1,GG_CEJST_Tool,FUDS_ET,-1,-1;IMP_FLG "IMP_FLG" true true false 80 Text 0 0,First,#,GG_Opportunity_Zones,IMP_FLG,0,79,GG_CEJST_Tool,IMP_FLG,0,79;DM_B "DM_B" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,DM_B,-1,-1,GG_CEJST_Tool,DM_B,-1,-1;DM_AI "DM_AI" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,DM_AI,-1,-1,GG_CEJST_Tool,DM_AI,-1,-1;DM_A "DM_A" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,DM_A,-1,-1,GG_CEJST_Tool,DM_A,-1,-1;DM_HI "DM_HI" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,DM_HI,-1,-1,GG_CEJST_Tool,DM_HI,-1,-1;DM_T "DM_T" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,DM_T,-1,-1,GG_CEJST_Tool,DM_T,-1,-1;DM_W "DM_W" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,DM_W,-1,-1,GG_CEJST_Tool,DM_W,-1,-1;DM_H "DM_H" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,DM_H,-1,-1,GG_CEJST_Tool,DM_H,-1,-1;DM_O "DM_O" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,DM_O,-1,-1,GG_CEJST_Tool,DM_O,-1,-1;AGE_10 "AGE_10" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,AGE_10,-1,-1,GG_CEJST_Tool,AGE_10,-1,-1;AGE_MIDDLE "AGE_MIDDLE" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,AGE_MIDDLE,-1,-1,GG_CEJST_Tool,AGE_MIDDLE,-1,-1;AGE_OLD "AGE_OLD" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,AGE_OLD,-1,-1,GG_CEJST_Tool,AGE_OLD,-1,-1;TA_COU_116 "TA_COU_116" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,TA_COU_116,-1,-1,GG_CEJST_Tool,TA_COU_116,-1,-1;TA_COUNT_C "TA_COUNT_C" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,TA_COUNT_C,-1,-1,GG_CEJST_Tool,TA_COUNT_C,-1,-1;TA_PERC "TA_PERC" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,TA_PERC,-1,-1,GG_CEJST_Tool,TA_PERC,-1,-1;TA_PERC_FE "TA_PERC_FE" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,TA_PERC_FE,-1,-1,GG_CEJST_Tool,TA_PERC_FE,-1,-1;UI_EXP "UI_EXP" true true false 80 Text 0 0,First,#,GG_Opportunity_Zones,UI_EXP,0,79,GG_CEJST_Tool,UI_EXP,0,79;THRHLD "THRHLD" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,THRHLD,-1,-1,GG_CEJST_Tool,THRHLD,-1,-1;OBJECTID_1 "OBJECTID" true true false 4 Long 0 0,First,#,GG_Opportunity_Zones,OBJECTID_1,-1,-1,GG_PA_EJ_Screen,OBJECTID_1,-1,-1;Shape_Length_1 "Shape_Length" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,Shape_Length_1,-1,-1;Shape_Area_1 "Shape_Area" true true false 8 Double 0 0,First,#,GG_Opportunity_Zones,Shape_Area_1,-1,-1;Tract "Tract" true true false 255 Text 0 0,First,#,GG_Opportunity_Zones,Tract,0,254;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,GG_Opportunity_Zones,Shape_Length,-1,-1,GG_PA_EJ_Screen,Shape_Length,-1,-1,GG_CEJST_Tool,Shape_Length,-1,-1,GG_EPA_IRA_Disadv,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,GG_Opportunity_Zones,Shape_Area,-1,-1,GG_PA_EJ_Screen,Shape_Area,-1,-1,GG_CEJST_Tool,Shape_Area,-1,-1,GG_EPA_IRA_Disadv,Shape_Area,-1,-1;GEOID "GEOID" true true false 12 Text 0 0,First,#,GG_PA_EJ_Screen,GEOID,0,11;COUNTY "COUNTY" true true false 3 Text 0 0,First,#,GG_PA_EJ_Screen,COUNTY,0,2;GEOIDTRACT "GEOIDTRACT" true true false 11 Text 0 0,First,#,GG_PA_EJ_Screen,GEOIDTRACT,0,10;OZONE "OZONE" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,OZONE,-1,-1;OZONEPCTIL "OZONEPCTIL" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,OZONEPCTIL,-1,-1;PM25 "PM25" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,PM25,-1,-1;PM25PCTILE "PM25PCTILE" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,PM25PCTILE,-1,-1;DIESELPM10 "DIESELPM10" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,DIESELPM10,-1,-1;DIESELPM_1 "DIESELPM_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,DIESELPM_1,-1,-1;TOXICAIREM "TOXICAIREM" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,TOXICAIREM,-1,-1;TOXICAIR_1 "TOXICAIR_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,TOXICAIR_1,-1,-1;COMPRESSOR "COMPRESSOR" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,COMPRESSOR,-1,-1;COMPRESS_1 "COMPRESS_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,COMPRESS_1,-1,-1;TOXICWATER "TOXICWATER" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,TOXICWATER,-1,-1;TOXICWAT_1 "TOXICWAT_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,TOXICWAT_1,-1,-1;PESTICIDE "PESTICIDE" true true false 16 Text 0 0,First,#,GG_PA_EJ_Screen,PESTICIDE,0,15;PESTICIDEP "PESTICIDEP" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,PESTICIDEP,-1,-1;CHILDRENLE "CHILDRENLE" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,CHILDRENLE,-1,-1;CHILDREN_1 "CHILDREN_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,CHILDREN_1,-1,-1;TRAFFIC "TRAFFIC" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,TRAFFIC,-1,-1;TRAFFICPCT "TRAFFICPCT" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,TRAFFICPCT,-1,-1;EXPOSURESS "EXPOSURESS" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,EXPOSURESS,-1,-1;EXPOSURE_1 "EXPOSURE_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,EXPOSURE_1,-1,-1;UNCONVENTI "UNCONVENTI" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,UNCONVENTI,-1,-1;UNCONVEN_1 "UNCONVEN_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,UNCONVEN_1,-1,-1;CONVENTION "CONVENTION" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,CONVENTION,-1,-1;CONVENTI_1 "CONVENTI_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,CONVENTI_1,-1,-1;RAILROADS "RAILROADS" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,RAILROADS,-1,-1;RAILROADSP "RAILROADSP" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,RAILROADSP,-1,-1;LANDREMEDI "LANDREMEDI" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,LANDREMEDI,-1,-1;LANDREME_1 "LANDREME_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,LANDREME_1,-1,-1;HAZARDOUSW "HAZARDOUSW" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,HAZARDOUSW,-1,-1;HAZARDOU_1 "HAZARDOU_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,HAZARDOU_1,-1,-1;COALMINING "COALMINING" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,COALMINING,-1,-1;COALMINI_1 "COALMINI_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,COALMINI_1,-1,-1;MUNICIPALW "MUNICIPALW" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,MUNICIPALW,-1,-1;MUNICIPA_1 "MUNICIPA_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,MUNICIPA_1,-1,-1;IMPAIREDLA "IMPAIREDLA" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,IMPAIREDLA,-1,-1;IMPAIRED_1 "IMPAIRED_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,IMPAIRED_1,-1,-1;ABANDONEDM "ABANDONEDM" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,ABANDONEDM,-1,-1;ABANDONE_1 "ABANDONE_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,ABANDONE_1,-1,-1;FLOODRISK "FLOODRISK" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,FLOODRISK,-1,-1;FLOODRISKP "FLOODRISKP" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,FLOODRISKP,-1,-1;ENVEFFECTS "ENVEFFECTS" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,ENVEFFECTS,-1,-1;ENVEFFEC_1 "ENVEFFEC_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,ENVEFFEC_1,-1,-1;ASTHMA "ASTHMA" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,ASTHMA,-1,-1;ASTHMAPCTI "ASTHMAPCTI" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,ASTHMAPCTI,-1,-1;NOINSURANC "NOINSURANC" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,NOINSURANC,-1,-1;NOINSURA_1 "NOINSURA_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,NOINSURA_1,-1,-1;CANCER "CANCER" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,CANCER,-1,-1;CANCERPCTI "CANCERPCTI" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,CANCERPCTI,-1,-1;DISABILITY "DISABILITY" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,DISABILITY,-1,-1;DISABILI_1 "DISABILI_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,DISABILI_1,-1,-1;HEARTDISEA "HEARTDISEA" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,HEARTDISEA,-1,-1;HEARTDIS_1 "HEARTDIS_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,HEARTDIS_1,-1,-1;SENSITIVEP "SENSITIVEP" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,SENSITIVEP,-1,-1;SENSITIV_1 "SENSITIV_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,SENSITIV_1,-1,-1;LOWEDUCATI "LOWEDUCATI" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,LOWEDUCATI,-1,-1;LOWEDUCA_1 "LOWEDUCA_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,LOWEDUCA_1,-1,-1;LINGUISTIC "LINGUISTIC" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,LINGUISTIC,-1,-1;LINGUIST_1 "LINGUIST_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,LINGUIST_1,-1,-1;HOUSINGBUR "HOUSINGBUR" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,HOUSINGBUR,-1,-1;HOUSINGB_1 "HOUSINGB_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,HOUSINGB_1,-1,-1;POVERTY "POVERTY" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,POVERTY,-1,-1;POVERTYPCT "POVERTYPCT" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,POVERTYPCT,-1,-1;UNEMPLOYME "UNEMPLOYME" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,UNEMPLOYME,-1,-1;UNEMPLOY_1 "UNEMPLOY_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,UNEMPLOY_1,-1,-1;RACE "RACE" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,RACE,-1,-1;RACEPCTILE "RACEPCTILE" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,RACEPCTILE,-1,-1;OVER64 "OVER64" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,OVER64,-1,-1;OVER64PCTI "OVER64PCTI" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,OVER64PCTI,-1,-1;UNDER5 "UNDER5" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,UNDER5,-1,-1;UNDER5PCTI "UNDER5PCTI" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,UNDER5PCTI,-1,-1;SOCIOECONO "SOCIOECONO" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,SOCIOECONO,-1,-1;SOCIOECO_1 "SOCIOECO_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,SOCIOECO_1,-1,-1;POLLUTIONB "POLLUTIONB" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,POLLUTIONB,-1,-1;POLLUTIO_1 "POLLUTIO_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,POLLUTIO_1,-1,-1;POPULATION "POPULATION" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,POPULATION,-1,-1;POPCHARSSC "POPCHARSSC" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,POPCHARSSC,-1,-1;FINALSCORE "FINALSCORE" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,FINALSCORE,-1,-1;FINALSCO_1 "FINALSCO_1" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,FINALSCO_1,-1,-1;EJAREA "EJAREA" true true false 3 Text 0 0,First,#,GG_PA_EJ_Screen,EJAREA,0,2;SHAPE_Leng "SHAPE_Leng" true true false 8 Double 0 0,First,#,GG_PA_EJ_Screen,SHAPE_Leng,-1,-1;ID "ID" true true false 12 Text 0 0,First,#,GG_EPA_IRA_Disadv,ID,0,11;National_Supp_Index "US Supp Index >=90%" true true false 255 Text 0 0,First,#,GG_EPA_IRA_Disadv,National_Supp_Index,0,254;State_Supp_Index "State Supp Index >=90%" true true false 255 Text 0 0,First,#,GG_EPA_IRA_Disadv,State_Supp_Index,0,254;CEJST "CEJST's Disadvantaged" true true false 255 Text 0 0,First,#,GG_EPA_IRA_Disadv,CEJST,0,254;Alaska_Native_Allotments "Alaska Native Allotments" true true false 3 Text 0 0,First,#,GG_EPA_IRA_Disadv,Alaska_Native_Allotments,0,2;Alaska_Native_Villages "Alaska Native Villages" true true false 3 Text 0 0,First,#,GG_EPA_IRA_Disadv,Alaska_Native_Villages,0,2;American_Indian_Reservations "American Indian Reservations" true true false 3 Text 0 0,First,#,GG_EPA_IRA_Disadv,American_Indian_Reservations,0,2;OffReservation_Trust_Lands "Off-Reservation Trust Lands" true true false 3 Text 0 0,First,#,GG_EPA_IRA_Disadv,OffReservation_Trust_Lands,0,2;Oklahoma_Statistical_Areas "Oklahoma Tribal Statistical Areas" true true false 3 Text 0 0,First,#,GG_EPA_IRA_Disadv,Oklahoma_Statistical_Areas,0,2;Disadvantaged "Disadvantaged" true true false 255 Text 0 0,First,#,GG_EPA_IRA_Disadv,Disadvantaged,0,254" NO_SOURCE_INFO UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=C:\Users\rhill\Documents\ArcGIS\Projects\Scratch_Work\Scratch_Work.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>GG_EJ_Merge</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>ID_TractBlock</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence> CalculateField GG_EJ_Merge ID_TractBlock !GEOID10! Python # Text NO_ENFORCE_DOMAINS CalculateField GG_EJ_Merge ID_TractBlock !GEOID! Python # Text NO_ENFORCE_DOMAINS CalculateField GG_EJ_Merge ID_TractBlock !ID! Python # Text NO_ENFORCE_DOMAINS UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WorkspaceConnectionString>DATABASE=C:\Users\rhill\Documents\ArcGIS\Projects\Scratch_Work\Scratch_Work.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>GG_EJ_Merge</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>GEOID10</field_name><field_name>SF</field_name><field_name>CF</field_name><field_name>DF_PFS</field_name><field_name>AF_PFS</field_name><field_name>HDF_PFS</field_name><field_name>DSF_PFS</field_name><field_name>EBF_PFS</field_name><field_name>EALR_PFS</field_name><field_name>EBLR_PFS</field_name><field_name>EPLR_PFS</field_name><field_name>HBF_PFS</field_name><field_name>LLEF_PFS</field_name><field_name>LIF_PFS</field_name><field_name>LMI_PFS</field_name><field_name>PM25F_PFS</field_name><field_name>HSEF</field_name><field_name>P100_PFS</field_name><field_name>P200_I_PFS</field_name><field_name>AJDLI_ET</field_name><field_name>LPF_PFS</field_name><field_name>KP_PFS</field_name><field_name>NPL_PFS</field_name><field_name>RMP_PFS</field_name><field_name>TSDF_PFS</field_name><field_name>TPF</field_name><field_name>TF_PFS</field_name><field_name>UF_PFS</field_name><field_name>WF_PFS</field_name><field_name>UST_PFS</field_name><field_name>N_WTR</field_name><field_name>N_WKFC</field_name><field_name>N_CLT</field_name><field_name>N_ENY</field_name><field_name>N_TRN</field_name><field_name>N_HSG</field_name><field_name>N_PLN</field_name><field_name>N_HLTH</field_name><field_name>SN_C</field_name><field_name>SN_T</field_name><field_name>DLI</field_name><field_name>ALI</field_name><field_name>PLHSE</field_name><field_name>LMILHSE</field_name><field_name>ULHSE</field_name><field_name>EPL_ET</field_name><field_name>EAL_ET</field_name><field_name>EBL_ET</field_name><field_name>EB_ET</field_name><field_name>PM25_ET</field_name><field_name>DS_ET</field_name><field_name>TP_ET</field_name><field_name>LPP_ET</field_name><field_name>HRS_ET</field_name><field_name>KP_ET</field_name><field_name>HB_ET</field_name><field_name>RMP_ET</field_name><field_name>NPL_ET</field_name><field_name>TSDF_ET</field_name><field_name>WD_ET</field_name><field_name>UST_ET</field_name><field_name>DB_ET</field_name><field_name>A_ET</field_name><field_name>HD_ET</field_name><field_name>LLE_ET</field_name><field_name>UN_ET</field_name><field_name>LISO_ET</field_name><field_name>POV_ET</field_name><field_name>LMI_ET</field_name><field_name>IA_LMI_ET</field_name><field_name>IA_UN_ET</field_name><field_name>IA_POV_ET</field_name><field_name>TC</field_name><field_name>CC</field_name><field_name>IAULHSE</field_name><field_name>IAPLHSE</field_name><field_name>IALMILHSE</field_name><field_name>IALMIL_76</field_name><field_name>IAPLHS_77</field_name><field_name>IAULHS_78</field_name><field_name>LHE</field_name><field_name>IALHE</field_name><field_name>IAHSEF</field_name><field_name>N_CLT_EOMI</field_name><field_name>N_ENY_EOMI</field_name><field_name>N_TRN_EOMI</field_name><field_name>N_HSG_EOMI</field_name><field_name>N_PLN_EOMI</field_name><field_name>N_WTR_EOMI</field_name><field_name>N_HLTH_88</field_name><field_name>N_WKFC_89</field_name><field_name>FPL200S</field_name><field_name>N_WKFC_91</field_name><field_name>TD_ET</field_name><field_name>TD_PFS</field_name><field_name>FLD_PFS</field_name><field_name>WFR_PFS</field_name><field_name>FLD_ET</field_name><field_name>WFR_ET</field_name><field_name>ADJ_ET</field_name><field_name>IS_PFS</field_name><field_name>IS_ET</field_name><field_name>AML_ET</field_name><field_name>FUDS_RAW</field_name><field_name>FUDS_ET</field_name><field_name>IMP_FLG</field_name><field_name>DM_B</field_name><field_name>DM_AI</field_name><field_name>DM_A</field_name><field_name>DM_HI</field_name><field_name>DM_T</field_name><field_name>DM_W</field_name><field_name>DM_H</field_name><field_name>DM_O</field_name><field_name>AGE_10</field_name><field_name>AGE_MIDDLE</field_name><field_name>AGE_OLD</field_name><field_name>TA_COU_116</field_name><field_name>TA_COUNT_C</field_name><field_name>TA_PERC</field_name><field_name>TA_PERC_FE</field_name><field_name>UI_EXP</field_name><field_name>THRHLD</field_name><field_name>OBJECTID_1</field_name><field_name>Shape_Length_1</field_name><field_name>Shape_Area_1</field_name><field_name>Tract</field_name><field_name>GEOID</field_name><field_name>COUNTY</field_name><field_name>GEOIDTRACT</field_name><field_name>OZONE</field_name><field_name>OZONEPCTIL</field_name><field_name>PM25</field_name><field_name>PM25PCTILE</field_name><field_name>DIESELPM10</field_name><field_name>DIESELPM_1</field_name><field_name>TOXICAIREM</field_name><field_name>TOXICAIR_1</field_name><field_name>COMPRESSOR</field_name><field_name>COMPRESS_1</field_name><field_name>TOXICWATER</field_name><field_name>TOXICWAT_1</field_name><field_name>PESTICIDE</field_name><field_name>PESTICIDEP</field_name><field_name>CHILDRENLE</field_name><field_name>CHILDREN_1</field_name><field_name>TRAFFIC</field_name><field_name>TRAFFICPCT</field_name><field_name>EXPOSURESS</field_name><field_name>EXPOSURE_1</field_name><field_name>UNCONVENTI</field_name><field_name>UNCONVEN_1</field_name><field_name>CONVENTION</field_name><field_name>CONVENTI_1</field_name><field_name>RAILROADS</field_name><field_name>RAILROADSP</field_name><field_name>LANDREMEDI</field_name><field_name>LANDREME_1</field_name><field_name>HAZARDOUSW</field_name><field_name>HAZARDOU_1</field_name><field_name>COALMINING</field_name><field_name>COALMINI_1</field_name><field_name>MUNICIPALW</field_name><field_name>MUNICIPA_1</field_name><field_name>IMPAIREDLA</field_name><field_name>IMPAIRED_1</field_name><field_name>ABANDONEDM</field_name><field_name>ABANDONE_1</field_name><field_name>FLOODRISK</field_name><field_name>FLOODRISKP</field_name><field_name>ENVEFFECTS</field_name><field_name>ENVEFFEC_1</field_name><field_name>ASTHMA</field_name><field_name>ASTHMAPCTI</field_name><field_name>NOINSURANC</field_name><field_name>NOINSURA_1</field_name><field_name>CANCER</field_name><field_name>CANCERPCTI</field_name><field_name>DISABILITY</field_name><field_name>DISABILI_1</field_name><field_name>HEARTDISEA</field_name><field_name>HEARTDIS_1</field_name><field_name>SENSITIVEP</field_name><field_name>SENSITIV_1</field_name><field_name>LOWEDUCATI</field_name><field_name>LOWEDUCA_1</field_name><field_name>LINGUISTIC</field_name><field_name>LINGUIST_1</field_name><field_name>HOUSINGBUR</field_name><field_name>HOUSINGB_1</field_name><field_name>POVERTY</field_name><field_name>POVERTYPCT</field_name><field_name>UNEMPLOYME</field_name><field_name>UNEMPLOY_1</field_name><field_name>RACE</field_name><field_name>RACEPCTILE</field_name><field_name>OVER64</field_name><field_name>OVER64PCTI</field_name><field_name>UNDER5</field_name><field_name>UNDER5PCTI</field_name><field_name>SOCIOECONO</field_name><field_name>SOCIOECO_1</field_name><field_name>POLLUTIONB</field_name><field_name>POLLUTIO_1</field_name><field_name>POPULATION</field_name><field_name>POPCHARSSC</field_name><field_name>FINALSCORE</field_name><field_name>FINALSCO_1</field_name><field_name>EJAREA</field_name><field_name>SHAPE_Leng</field_name><field_name>ID</field_name><field_name>National_Supp_Index</field_name><field_name>State_Supp_Index</field_name><field_name>CEJST</field_name><field_name>Alaska_Native_Allotments</field_name><field_name>Alaska_Native_Villages</field_name><field_name>American_Indian_Reservations</field_name><field_name>OffReservation_Trust_Lands</field_name><field_name>Oklahoma_Statistical_Areas</field_name><field_name>Disadvantaged</field_name></DeleteField></workflow></operationSequence> Dissolve GG_EJ_Merge C:\Users\rhill\Documents\ArcGIS\Projects\Scratch_Work\Scratch_Work.gdb\GG_EJ_Areas_20241106 ID_TractBlock # MULTI_PART DISSOLVE_LINES # ExportFeatures GG_EJ_Areas_20241106 \\chesconse-app01\E\GIS\_Web_Services\GatherandGrow\GatherandGrow.gdb\GG_EJ_Areas_20241106 # NOT_USE_ALIAS "ID_TractBlock "ID_TractBlock" true true false 255 Text 0 0,First,#,GG_EJ_Areas_20241106,ID_TractBlock,0,254;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,GG_EJ_Areas_20241106,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,GG_EJ_Areas_20241106,Shape_Area,-1,-1" # 20241106 15144200 20241106 15144200 Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.3.2.52636 GG_EJ_Areas_20241106 All tract and block groups that are disadvantaged within the Gather & Grow geography File Geodatabase Feature Class dataset EPSG 6.18.3(9.3.1.2) 0 Simple FALSE 0 TRUE FALSE GG_EJ_Areas_20241106 Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. ID_TractBlock ID_TractBlock String 255 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20241106 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJykvUmXZVlynbdv/zrvosmMbFEdAIIEwWZJi6I40pIGmuhXaqiB RpImapZESiAlAgSKAMhCVWVlU5mR0XvzuttrfdvO84gqJgog6LWyIsL9+Xv3nnuO2bZt28zKH/6j fzI/ff5Sf5OvPf83jVKVS6tJ5+Og4TBqvy+lTNIwSTdTvPg8k8ZZmiXlWfwOr8lmKZt0UWTSnPND +UV8X+l33/niu7eldHEmFcWgs8tZ3XHydWTlrLIqVOSZ6ipTnZcax1mjRqmY1Q+DplyaulFjWyqb R9XLTKtFo3EY1U2DpnlS323V30pVvVHdlBrzUVMmTf2svMykfNbQT6qUac4zZcWsjNvrd79yrVnB Ba+UF7nKvNA8zpqmSTn3rlzzfLpPqVSmwX/NVVVS302aeX/WTJmKLPfnqJw1TrPmnvXLNGeziixT diw0D6PKS94z09jlyudczVIa5snX15SVFnXp1+fK/DiOXatl1eiDy0eqi0q7ofWfq3Khw3DQ6+NW eZarn0b1Y69xnlTkpTKeoaS275Rns3I+c5w0DZMyrrvg/ib146huGKWsFEu3LAs1Zaksy3SxPtPF 8ly3dzc6ZoM05BqnSuuyUlWOuut26qdJY1brouL9pLootO97Zdmsy/VGXd9r17bqhsFrMUyDn/mm Wnjdx2lQWeQapknzFGs9TqOO7NWZ/TVpHKWu7+IZjqyMlOWzunbwWvIN7neVrfTwYqPr/VbHtlde 5qpraVMVaodOh3FQmUu741HdMKkqS9VV7rVZ5Q/1Bz/8Zzq0rR5fPdS/+rf/XGebS/3ej35f//LP /le9ePOtfvjh39Pjzcca+0F/8fm/1s3h2p9bVPxXKJu5NtaaI1T4HI09+zTXMIzK50zHnj1dqMxK PwvWoqxztftWYzkpb0rN46hp5H0q5Xmm77/3I/2Xv//P9PkXv9Tjhw/1zbfP1LMes7RYLDRknf7o 83+pfmx9PXmeS3Pm9eS8DH3mZSrrON/TPItTV86c0VwjVz1JXTfFGeLXxTktVCwG3w+LzDWN/axi rPXf/NP/Tn/44/9N++nGe5XXzPw3c9u5pnHy+SnP12s91d/MYK1stDJpGLXKSn3w6ahlXer6ulN/ nHW8HTVeFWrWuQ/6019mEsbFW+L+WP/av0/fO/0Zm+z0NfLvcdLNXSGVhfKsV7PIVS7jhrKcTTep 6zg0o8YOg5Kp3c+ahlzValQ2FRq7WVXDQs9qd526btRcz8oLaRowTtJc8+mTsilXWeWaaq599uJn XRYPoppUl15STdp4o9uOTztl2Sqs1oyhGr0BmqrQXPC5hR/4iAHzJsQizspy3jz3w8yyUgPGNsNI 8NAzDf2gmW+xDENuIz1mUrGcfO3dPMdGqFmeWJAqK2woOa98bl2W4ibGsfdDx3h8e/Pah+IwDDpb LNU3g3btQe3QK8eJ8BlFoWGM+x/GQV02qErvn02z/+yKWUOGIRvUtkct68YGcBgnlWWhKs9VF6WK PNdut9P3nnxft8dW/W6vN7fSbn/UBw9mna8LHYdc3SitylmHrteiLHUcWrUY5pL1G1TnmQ4+P9w3 RjiM+E1/1HqubBwrtvwsHabeRop74qvOC6/JnA8+cPx9GjEwbL0xnEvB8+Og5Xp9OCgrRx84DuXU s98zDVM8v2VdaHvca5zH2Idzr2Gs9E9+77/Wf/73/iv9H//qf9Yf//z/0oPl+/pn/+C/1cXZhf6X f/4/6Dje+fPf3D3XJ49/qJtupynvVZTh0PkZhoXnAD7gbM2coyXXnmnazyqKTHmTq8ax+eRkykfc Xy4/kCzTJDY11xqAIksG4LOnP9NnX/1Ucxb3y77M8NAYHhuiQlMx+fmzvzH+05RpUZTqRz47rQd/ z6d7AwRg4Pdxcv58HLb/4x4GHfeDVhe5zi7Z73weW73Q0HX6s5/+sX73+3+gP/nZ/+P1ropSE+dl HsPRcxKnWWVTV99hJn7DF3c9ZNrvZ+0PhcZh0GKdqVn1Wl1xXgbVTaXrr2dcfdig4ldt1IpF5c7e /ab/nb/zOclYsBP4PrurnfVyLPTe1RRArZyVV2+vnYU6HvJY9AWIj4dban2ea1kH6sK44cHqslA3 9TYG00FaXKyVNYEauK65mwEJ9lp4CTs4Sd2QS4vM35u6+HxfopI3KAIxstA8lJ6Hx0dzyxOv4b0y v9aoJZsCxdRFMibx8DkU84CxyP06NkzGz/0ZvM9klJHh0WuWCFM7Ked1bKS07Lz3MI/hpYtc69XC qGAaRx36XlXR6Ni2OhwPKosibbbYkFwkNpAdV4L/JpZwsmEcJB2HMAhZHqiiLEp7R+57UVYaMNoY vpwDGEj733/+M9XNpV6+2evN3VHLJlOnWTdtbIcV6CIPo3qcBrXj4Puex0m7Y+br4nt8XpWVygv+ nLQHRQvUzPoWqutSQz9qBHVMkw9dVpXaLC+0299pKgp146CqwdlMGob03I1mMrVHqVlL/TT4OWQq VDcEEYMGHE5eKJ9H9e2t6ubc18XnTNmgn37553r+/LU+f/EXGuadnt19pv/xf//vfQg35xsjre76 uV5vX+r//OP/yai6xOFU3A/rWYTjzHMVU6EimzVX9ttG4f1+UrHO7RRshOwCw4izL3wiqkllVokQ A1TE9doQ8jOef45TzFXhCNL5mYhIAoPGXjRS4rnPjgj6cfA5BWXa8HurGD75bOFY5tm/pX4g+snU duFIARjNIvYuZ6e9naR80tmjhapVqdv2pT7NfqSHZx9I86D3Lz9W2+11u7/VzfGVuq5VmZcqeTiG cRwQe+vMf/+rvlZZpj0XeTvpq7tMq02p93+r0KLmZiYjqznLtL0ZJMKYsogd+w6I4sD8hyjr178X fy9O33P4iPmeNB3TgZ/AX4RUmapSKspc81rab3myhaa+8+/NI4eAB8yCJgOXDAOerNms7LkiHIuN woFJZ1clyIyfA3l5KCPHd1TZYDQxchyw1T105T0zrBi/b3TFI3xro0cMCz83nMbA8GeEMH5lEcgy r0GovOesoixUrGYNR8xSwGOQG5/FYcn5j43OweGaS35WaCLUmSct80pNXqqfOvXz6LDw2HY2eg3P jDvHuIAEjSojPF+A/jCQWa59HyFfYygAOsy9kbktDj9/8t48s7rA189GV9xrC1KbV9q1pR5vzqXi mS6vRq0WhFGxZiWGT5kqkN3EKvE/cG14413X2fA4ZGbtcCjT5OeeO+SQwzL7NqMg4w2vf2AQ6Xp7 q2nqecpec7w4xhvjxut5xhgr7hn024+ZyixTsyiUlb1D0jLL1eS1xnFUXm7ieeB4OBnjSqvFudpx q3bexz410gXN8xw58HHifVk5e3LUOBX3jhqnw+vYSxpzFYTHC74vjR3rzLXLzjYH4Yy5JpAZzhvj q4QKJ6IC9kXa1yBjMBgUgT1ICrf4H+sa3jLQuZGUcZsyg4e4D/ZGuMJw4g5P0qFiS2czyA4bwC6c tFiWygjRu0lNHQFIv52F7Wsui3AILdzBoFe3z/QPf/efaLu71Xqx0f6404PzSZ998xO96Z+pa3Oc aq6zzcqWlb+vlkvt93ubwtevrr/bpOB22d3wV69H3eAVP6xU1b2KOTN3tHqQ6XqfS1yMn1igs7ME Yf/aLwyU+Z5kPA0DOeSzDkf4glxFEygIq+3wg1BtGQcfo1steDhhjKtFhuEOROWHiXEIr5QRCnI/ eCyjHn7GsueaMV757EPEzxZLvC8PiwfOZ+GwePVOM9YSgzFmmgYOYGz8qgrkAnqLmDxWwHfGs+Y8 cmiG2NBwUSAmDH9WzZo7EGXwB75WqBa8LwcUfonHgSEtE2c2FyqK4J04rNMQyHIsJnWQINyXnUih Y9/ZSIGuOAUJZ4SX7EfNVel9cYQzAdWUpQZfC64C5zYF7wQKs2GebXjsaPLMn4fBnLVRXT7Sfv+1 vvn2L7ReBmNZFqM9p48CaBCerOvj0Cj4M4xkhKrBLxHamR71OmVquU7Wdc59DTxfXki4CMLl3+yD zkhr8PtVeYTKcFnwQawfDgJ+rjtI51e5DzoOAO4KBMS9NhVXYVyhIw4Tzolt3u29FxbludbVhV62 TzWMW6PScjhTgcHLpf0B3hPnx/sHAsbhcb9cE1yVuZ0dkUDh/VAU0BthVKdsUnlemLvlGXAtcIW2 bXOmMWfV4rhgsHxkbJjC6JttSlxU8JLBKfHkMHpG1d63ibcKtx571Y45hWfvGGE2oB0JtEUXYeUw sO8xMOy12Odwh9ApdTOrqmcVDVxvpr2d3Khv33yhZbPSer3Rn3/5R3r64hs9Pnuijx5/X7t2qzev W5VVVerhg0t1Q+9Dv1pvVJWZ4ebrvxJlSXuIZKPPWa9/PhoBvPc97nHwg7n6INfxMOv1UyxtrrOT IeAJ+oT+NWbrZKxs7BK6Ssu3U6ENhmAp5WWAWEKBcYgFLpsgpjUWyvpc7d2gEutB2JLH4ezgG+bY eLw/XjZLnifI8fRUZjZEESENvAmIroagxQsFX4Yn5BKrJpAZGw7emQPApuCQzyMEPw403huDyfWc kBwGk7UxleD75qM5EEB6rmWw53XIAmrlEIICMJbZ5I05DHBMhZZ1bUSJz+eLZ7nrDsqbMCLcw7Ef dOg6k+u7blJdRChBUHe+aJw/IcRivfDMBQTJzL8z7YfBGxSPH0FKpgYjZWORKSsLtQ6zRh/IRbPS NK60bW+1WrDPAon5WeXlvbeH28IoYDZBMUb/yTiaMPd5mjQVIDeeSTiwfoBXLHAf6iHBcIp5hGis wJjC2wjJiXBBRFgLqT9gsEBpOLwIm4pq9rUvqsoHl5eC+EjUcDbYDIehD36VnyXkvqwf64fv/31V ZaPr7Su/fxD7sw9q30OXLPXg/JF2t9sUV3HoMVTsG6AqdEIY6qJmz3K/cQzqoroPFSu4PDtOmI+3 CAjjOhG2OlpgD5m2f+sc0/PyhiaEzFjfSEywZ8ydOvFAxBGvB6ca7yZS3QjcDp3oIq1nwrDs9/4w abGOpBFRAAtfcBbSkScpYMxXksyS6g2gYtR2u9Uf/Zv/T/V5obxhT896tftGv/Xhj3S+vNJTPVd5 OBzUtZ1eX9/GxRU35qWAu98JfBLaWWWz9oQswMP9rBcvpOXDUqvNqLoqVFfEm10gMdu2yHYkdJ+S Zb/JaEU28R6L3HNesdG2xPFVobNNeBEjCIwE4VTKpA2d1G25l0l6k6lqSl1ekTmrdH3YRTbLmblE XKYwMULFCCUI2eBJ8Fv2rHmlMp80D1Ca4z05XZTn8fuEeFmmepXWig1gH1WEwblHWkD1MHADXgmu AhTI7/hgYbwcbCgjBOOg8PCB9+maDPJS+BY5xhT+ZKAcrrU2ed0dCKsmlXZ18GG8etDCZBgIiXWY TZqaxyLDM41BYCekVvMbJDeccSKDCK+Fwc5VE8rlhfohU6WFNmVlz7rrO93ue1XlpbbdQcN4q7qM kBLmFMTDAQE9cejhSMiOghq5PwzRPoWB5mEyPHIZyQgS0kNvAz0PkUEjU3fs2AOlFiuQSqusr7Qq FkYuPL+2G9RUOKdJ7P0Mor7mGWZB7BvVTWr30mrFtYQRA93MQ2mjgsFgr/Fa9vTQ8bornVUP9f7V R3p++4W6Ya9iPteU3ao5D+4I9Fc5G3n05oCrS3lA71d4z64dVS1KZwLLklANPxE8alVlRr3sgx40 bd4wkH8Q08G1Rfg3m6sFZSVKPpAWe8fgIZ0sEgb8LyOLDsIMg8T3evbfCTOQsUwJG+/55NiniddH CGkes8S4xd+N9fp4N3O9yX6YnzUfMmnuAmWxD2zUFpyNPk6M93eur599pg8e/VD/7hcvVF7v9lqd bbTd733wnDpcL2zEqnrQdnv4qyBQhLIgrbNCej3o+hmLhA2blBWTVk2lzcWk7fWkXVbq3MmKOFC+ YC/EbzBaJzt1wriJi+Br12bK7yZVxaQ11pz7Z2lALSa4IQtzFfVsr0gWsNtlahsMxWBYzKL6mOOR T04nfQTv4Vj/5BYMj9lUiVfJZ4e/gcoiq8NF9CZC43DY46nQ8Uga0t8JA+5QJnmkk5qDh2fEF5vP 3KlPCrwMSKSwIQ4mJjwjDz6gP5uXv8Bfzdp3R81VbYPDZgA5kE2MDRuIg70AmWskSiaPlHyeWwpB GAe3AGlrx8W94xCmWf006zAGcoLcrlSqyc9UZWf63vd+x9d+dX7u912enen5mxe63d1qGHp/HiEX tpfnAxvD5/R9q6ZeODS1l2cfKrfBiuOc+/PiWcQKwBFiqC82l2r7Vm138KHpetalV1nNaqrarzu0 R01OPGAEg6uq6yoSGWmr+VkbPZBxRgojLdccmuBfnbq3UyQeT/sfdGKLAp9X6HxzpYvzM/3i5Rtl GRwnZ2SlPN9q7s5t1KuGMxZoPhwc6J5wIVxizsOeMLbhyDDkDgVHqT2MkR0kc8nrMHgJibZT62ef EWUUwTuS+SvSOpmnttwlDE4YiTykNc6PTYEoc6KrcEgndIEDg24h851Yfu9TqAGeKXnvAG3hUBvs AQmJPnysCcd0zo3mBqQ+YTzNAfNMquDq4LU4B4SUIFMu79Xtc33/w7+vs+XKdINtzvtPHqsoK715 /VrrzVr7u61vbqvDb5Y5sPONtDLdHjLl+0YbjbpaLPTJbzf6E73R9nowmVMsGpV1pvE4aEDzcs/t /2aj9Q78ScxfhDZ3nVS8USC6BbxGIAU+iwWBcC570rZWZul4wANHmGGDZC8RcT8GyAbMv/52I58W OrJ7cEF4QVL2gfT8WpBTug/+NxzZ6JGAIJSwobAXiz9T/sWbiR/Wi9ADcZiAyaFsQApAqALMh4Qt Itx2iARnFaStM0O8Y8dhiE2MQSLMWVZk82YtFrnmPnEe8BCESRyEZMQgxsN74BBJ+c9aV5XXYjf2 Wma1D2ZkEJOzcRY81w8+/ANpWnoz/+SLP9eQ7/Vg9dhhQjseHUpkZBZTGhv0NOalDt2g43DUpllo Uy+1295a9wWKw+C0U2/jai7YXBeheUKkJBGWtVHYkP1Ab1690UFv1N6NGpG2zIO1bdbbjbOOex4U hzXQLcaZg0oYMvS9eRcynPWi8nNFP3T7ctZynTkDTsRhFDGPag+HyEIva/ud7rpz9ouw7Mn7n+hB e6Wnr75QUdZ+XTu/Udsii7nVsn6gaSp0cfVAL56/EmAJnoxECggQ/w/65Ln26iNAv3ekIRGwBSjJ jCKXCeRsTsoZwshvOaJxSJhCt/DgRnQsqvdQolys+3K4CZrONEIvGIGDKON8wFOFY4wkQI3hhxKI DW01AH93COjvQZ0EF8t1m4t9R4sASMEw8vy4zIwEGbI8rpFfJ+uNkwY9pjP/9bOf6b/4gz9QuaqX 6vadfvbFl6egQrOeJ3TzXZqpX/tiRfmUdSbdzbrelTq/yNXUudbLXI8/lTbv53r1ZfA8jx5Lr79B 6JjIeMc/v6Z7eMdW8bXWrB2vM4pJEgf+PcZGOdxasKXMhjO+ACgsNEagWZY++E1Tqq6Jl7s4vEnr gmewyJQHBe+F5fclAcPDqECkQ/YSvrC1xj68lcnnE6GZHBDZpZPUITZKwOl4WuH1gijOVFVwb5F5 aZrcCK07DJZTlOe5PbJzcaW0yCu1LWLdSTMhwjoL4SwHuWbrwmORIcotGLWTRL5TFWoI9YxB43vY 21ft0ZxVcBlsHtYLXittWkshChs2NqlFtuOsVbVSVZzr0/d+W92x1y+e/4mqatRZXel1d6uv707J msg8OXxAG2RZRK59pE8F115pp+NxDM3RNN9LJY7zoCXZRoG2IO8BI+jUAnUch8xi1x9//eca+161 8x2RlFghaRgGXW+PFlba86ezjnefs1rbw0F912kehsgwNpW6rtQ6xxDNKpaDiqbUvmU9hoR6Bx2O t84IrysIgbi2s7NzffHsMyFn3O+u4SRU5o0O3TakCL2UA7KLUbvtQc/01NEJlAUcaLdDIgPvJI1t p8tHtaol6yEdDp05n6ou1O1Bo5ONfAUatFh0NG3B/sQgVSq8RlyrqYmy9F6bWpATtEjwsKy9JSF5 8Jk8EjK9J4qD8BhXy17juJGNPF+FY0JuYvqNFQD1B7MQwtJTqIdRcgYd+hX5j0+aeVnkQ3Y8PAt4 YN4LPd9+VseZs0nJVRXoGBtNc6EX22f6e7/9n6nkoNZVpbKqLf5LVuivtVO/grLYCXzK9ShdT+oe zXq13WllPBjCs/pRrot6qcP10QjlpNpOzvo//LKeI6VeT98rMl1cZLq5nSFZ7DURTN7e4i1nra4I Nwp1h8mGgEVgs5p3mTMtmshcWFyaYmTCALgsGxW4AB4iKBANV4/SPB4EyIjXsbnveaTEHfDwDIzS fzZWZPusvyqS7io8oPFJIvNDOhAGEUKWjeRQFVKSDJXT2LOFjrEkpcaW0CR4Ozg80C1IkmuE3xha Jb3QaGL6rFmK3BshGegFYScc3qE/aFXVPsDBYfF+gaoihCjVeNOyqbBwlY1eVdT66PHvab260r// xZ/q1d0vNZcQ0hDtRcrCBaN2wpLWQCUvC8KqyloH9gQH3ioO7jsyjVk+KgcFgUBRyBMaGnVN2qOh Mw8Uwq52nvS9T3+kz3/5l0Znh7tMm7NS1Vmj3kmR2fdAaAz6rpFyTL32u6PDQfYEDqcfei3gXCHG 594GxomVAQX7YBTUt7O67jYy0qh6Xl87Nc/+e/rspSkH1r9Y1zpbn2l3ODgUL/u19xgImW3P/cLD kfnjWRHLkx0uK2n9mGgh04CR7AsNQ6ucDHyNiJLPqrWsSk1lplf93s7GXKVD/SDjR+/NWG8rAm2o c2c0LTtQ4TNgY0UkYlUwF1U43A05RJD4NlwFe2dSsahVVZV2xz6pziMjjFNzpIBcgVAP5+T0Z5wD BKPNgtA8ObB0BtiLhKlDT3IkuLhmE1pCRwxORhVqu1zHbtaxnfVH//Zfqby52+mj9x5puVio7bf6 W30Zsyc09s2onYntXt/c3ambR11uFlovejU6qgWeE4Eg1x6BnONfYbQSX3GCWcWss9WsfBp00cAV 9Vbdo52qkDJgcMQCSzOSB2c/wmDhubGd3tRYEZauhy8I7ooF9xojf6hCv+QcGVkkc13BYUAws6R4 HicRTkbV4AGjGEQ6qW5eaRW8M1knji0Qjo0SiM8KzkCyxO8mShPFNZvoiQwiG4bN3TR9ZCNBZanM yVeAuNR8Gp5z0rqsTRY3cBtDa4M9tKTGef1gowofYpxKiJDkAhgGZA7Ovk0oxO9pNNVzpYv1p7q8 eKxvr7/Rn/zi/1U/HiILNgR3RyDDZufvkXIPh4AxYHNyQBZ1o9ViqWXLek4ah15tH5zZuqq1zhvt 586h0W0PEo5ggnBwha4M7gvCP5MWVWNZBCF5jv5qGl3NMIxH7wMIdmu6xs7XBNLAcKHaNy+DISDL B9EORzMjaQBtzFouaidW/Lx9b+wD+Ki9ut4Y0bTDSVgOd/vw6pEz7r98+pUfe6NSvUpNGZ8bCJB7 v7x4pLv9naUSwz6eJ0Zr0ZUui7E+M/Qbvi6eq7VmFTISrj+0Vn6a7CEMnjN88VrExgFnp/sMJtUh /PyeDJ8yteyvFB6OEHcmzcm+pn1NCL8G4YSlPXQHZ3fjuUaW+yQh8nsXIcmI8woVwPMOXiyoBM5a piYrdbCoN8JSorG2AzRglJNm0ZnhcNTrZqms6ILi2R8Otv4NqZK7v529spiUTzvLpbtRdwepGUqV 41GbutSxJSWf63bfaXebabkuNFaQ4KMM6pyWfUtu/7r54l+brNCqQYg26vZ6Ul1POt9kWp1FOHW4 mS0YtXbFcdlgb8iBibKDyE6EnCD0TpGWjXgbYp4HNZyQitcqCSqTN4kHxyaIcPJUJhmbILRTQeRH 5sjCSdAOanlQhvmlZFgwBBgu5AdkHSHrx0zdMUoZIC5R8k9tivtH1MFsvFLlhlAqyjQs1BuSgBS+ ogQJRo0bF7JvR8tLSKuvlizIpH7uVCxtQTX1k+vsuCYAm8PLpKc69r3OmoXGKdfl5hOdnV3px5// oXrtQvnvNU1omfXhHi1MTGtiTgUdUXhzSF1zGtOgq+VK3+6vdX1slSHAhKRFloGxT0aSsC7qytjJ ZBVNdDi9D1Lr2l7fPnuhsS9cX0q9J3xZUzZGjdN8CCQA10S8ZWFzGGFCbvYJaDUnK2lZAWVQk5YN 3FfIOKKmLTP3apL9RJMmrsjUAcUPzbkWTaOf/fIvTStQ2nXKZkKQcy84ycPhqOcvnnm9yOLN9ahs 3Tv0RwgN+rfUoJg0V1EVEVKPCMlB3kaq3rVJ0oJMxFFAGC7uFRzg5EURfzd94SqA4JAst0mC8RHr bv429prlJKAeJDLNwsmLbbvXwc4PH1xpzvrQW6GCJ8nkDCNUyqSe+kFrNeHLgrVF2gPlAMAwAneG kWcQ2UbQqEuiiB7IIiZVPqJmaojPqZ8cr1W2XXhUNtR/0hdPsCnMY2lPpqWSlqMWKtQXlfr9rHY/ abPBEs/a32ZIThJNfdJchac/KczfNVxofjqKrAU0bbW5OKomtU8mSLXGstd2G6Hg2VmuyqQonhTC N7xFFCNHpsU8BZDXJSfoiKifIgtmC+qDRWlB1GOfriOukd+3rodFTzbWepQkNwhyntAIz5gSSvZ8 kSVL0udAIWwSvFKSf9RLEBpeNzQ1YSjRY5Uql+H9SoXmCK8c1BBFyCEAhNvCceGFa7J8lkfM6tBU TbMa+EIrvLmfKAAnBDSBfa/Sz3Sk7GfOtKzO9GjzsRaLpT5/9mONxdEH0Z4+Ze5C8xVe0c4g3Rvl OV6PRBqbF5sybfuD2rLXq/3e0gfURRUZp5mUeGiPMFAgwkCbKVUFB5ORjLAAzahmU59b9/T025f+ tWM3aZOqU4KwDnlEOBIOBBKB3uJbOCgQASUx1lpRZI0DyAKFodYvpiioHqa7lJBZGVkP0y6KL+aV imwRWqQMAAAgAElEQVSvpq41TK2NJmF2O06q5iY0Vi78D0PszTIV6kClQ2dOJxDzaORWVueIIzWS 9cvgwNbmcMigVt4PUXIzt+gNOcS9ldA27I4yomSN8NbIBoOEev7Et7p0KqoZ+gn5QMhcfMZ8TEK/ huMpy1KbZvVWL+isIMYpVFjO4rHXEvsdIregcPJ3HPNJ08j3QbXIV+BFfc0WqKbsdU9yiDMaxLv5 e5D/0DkJte2OKk9lOIaT/zE1hd8lJgWnXxLMTipYZLzgOGmF1Z9RD6NwRdFLmJCp3eFFCc2q0BKx UM6ih7j0PlcXGNE1VJCL5w8aPXqIlocHzqFotKoaLRaIADmAUdJTFrUOOTcbBsP8QH8KpSJTCIGO RzNPYn4phJ+WZxi9RNbOxahkR5Iy2ZuBIKg7FXum4uOkssbDZgj/QtsYGTkkI/fq/ZAwhGQgDB7c WfD34d1qNge1bi6dCA7PaWEMEF4oFZcanpv8Dy7hlKUh4eCQsgdhgcDCIJtaTBvMpUlkpsw1vS1N hx+5WD3Sk4sfqZv2+vzbf2uvyuUjsTBpHMxrXJN5k6SUT8kK1sNqanvOMcjfVAK2S1ULyCLyuVfu GBdZwqSS8IUD0aFJSqrqpDEzJ4guDJlHl+vZq9cqqbDAqDm3PuswHI3W/HyGMcKNdNMOr6kN5X1S WZe5lr43gU1VQj+0RmCDKn+fkDABNOXl3igFQMDWmOe9ls0jffTkU335zc+lESI8SGzrpHh/SHEk FElqAPTPGpItxNw4JGpX9442pgIeqXS4hLSCCoqsOnP2c3atHqiusiM0LzqkjFvKCUYICJIsI7Md lV6x39PewgpQX8qDszTnJCiN2ppYp1Q0/mZ/d589NkJynSzr4Zgi/U7sGlMOSVwKJUMHCSP/IjmM lPgA/oPanaE3GEHHJrXIWCy/CGRuOsJZdiIPpDlXON2I0a3ofQcW/q2+MNGkJHkAba5ihMTt7WE2 m0ADLhBFBgA6gDM6r7R50HjTHna9di9TYbP3eYg1T9oPZ+vaSdvXmb7OKp1dFHq4dgCm1aZSvqjU mqeJMo9SpTZlk0IcQiW8DR4UBRALHiUz1tqkB2HZHXyLdSdRDO2uEKduOKldhklk85vJEAFd3WEh UvHwEISDzpwksvVenpE8h8MVeAKToCC+lLFLsNxpfBedwi/BqUWK+tTeJsID0BUh6KysAWGGkv10 zSNcHaloh2YnSdvbcg48pmlOjEdW63xx4dYpF+VKHz34ge6ON/rli59rAU841qrUqJsItYILPIXK wfFheAnrQEFAS8ITCsxHlYaC8TnBAORqMNkQxXBwzhyGZSqoXrDTD0Rmz4wK3Z0fIrRcFEvd7gZ9 8P4T7buvdDxi8GPNT1o2FsCOaA4dE5xUUzeaq7fZXbghPPhEpQdpdId94ZTynBq/rZ2JCfaUDauq M8GfYFCivJVuEw+0rF64oqBsgk+LVkcmLSMxk8K77eFOczOpRj+I8XBpkKIW0CgzDu6Ur3hSUarF +02h8YPLcUTgJQPdYhwiNUU0geSBTC8JEGpIQz0TvCrI+FSliVMyoeJqilDthxOL98JY9O0hFdCf RNzhCO1AKbNJKn3/3Ps3niMO16XwZApZf4OECFfdbIb78LGe7p1gvUIbF06LkCpU+Ih9Kx3HR8ov f0sl13m73Zp0p0yHOq6/9ZfZOK6i0HiMtC11nqSQgd12yDaKuUONH31yrqLpVdIjR7PazaRnQ6dV tdCyqfXmBr3CSUgoXVxe6LNfPlXb9rp+1unyWKn+YNZ6OYYlzidnd9gAGAOndOfBh4fMzP6w9zUt FqHEd5QRVIU//5ysBeLGpM8KmButZkyrJ6sTolL6T0WaOHdZQyjPMcL0C4LnovATd8HhTnvgHuba 46RQCpI/tGGJEE3CPsslEhd04t+qd0JmpBX39Vu8ZqBYudSCFLjd/6TlOqA3fZrg0PpUf2Y05kLs QGcY4GW51oP6YytVrcwfaNRV6JOL39W+u1NVLPTwwWMdp52+ePUTddNrH466rLQfWvNGzrblkP5s st6hEfbnxGkZRfv6o6SqnEPVHmEHNaGEzoPa3daFxVwHhdpwk9w/HhuDuK5Wuun3vifLLY5wRVHo a+DijGQK+azniRjRUZIRd9IBOdyL7g9OiDj6BBGSGA1n5edBcX3w24GKcBLIFQrpeDzo5esXauql 9sdDXBPZ19TdANU/4S6Jo+Wy0np5ru0hWuiYTuh3yvKNpQskRzgfdpgc5zYoAJyTEjLHGdcF5VOj OkOWVJxvoQGOOEpdTr2qCO2i0PuUmUYjlbLcbCEnpgIVhqGKfUVNqovp4c6o90O/1ifdfKoPzIdI WPloGBolXRVrayFdnCFTGa5eiOYKZJxxJqAwfsd3RpTnCIvkGdcLKkdKdKn8wacqNpfO19kw/OCT jxyH/ycZrNOajpPuDrk+yRdakAGgRMJ1lpH2RAHbZI0+eP+xNqtFbNSCuH1SdvhM81zoh59+qpvb Wy2WS6ed8XpN0+jLb7/VGyzNIF3vBj2A4MdblVVkeZKWBKtNTT5GgXYkrGVuqnpwOMrKRD3b7KzF ArKezBIojFq5EfUTPbTCyDqrZIIwUvBGQByAGR4hvPqp4xhoaVnVJlkdJaJOTiAxGlfEcbUGMGUV 3d3ElfGRDmaTgaZAVrweFTpSwrfF4HE4vS+B9vWphQu8D8LWKE3iEEQ0FFlT62a4ryQNwNBwmAzt 0bWRLKKX1LDV4bhLh3AvDaX6fNRhe3QdJjyNyWvkCElYWaVGgce+1XFu7SzYTeO0U6lzOw2Tvwg4 0Uel0CGS2RFKUGvZs27VuY0URscHmXARcl48z14HWyjpzfW18sVk4zJY3pEqHVKk4HKYEpJ4TrVr o5aLJklSBu2PicOjDAmnyrUNO4dn8EQnJwN35XCUPZNt78Nnvvp+r1dvXujTj75nuciWjhAgMuob sfnwiaA6DmHeRxcHep6BPvjseh1yD44j4RMInwQNDQ456HBVp0zznBJIHHbKolxTmcy/dYSRjbRz TSrzJoM8SfIMk62gmlTYTIaQBAVRllFbIJuTIt59r+zQkuQ5/cyRB9a7Sk7QBdOOeW00UR2RxOF8 BAoHXUXxv/u32YDV1pXplP2dIgqiL1o9F+q6QsfpXNnZxyrWF3Y4NlhkCtFi+QP/U79OVZbmewbL 7osKTQ9+IlPrImM4ra2eb/+9Xh5CmkC7DpS2xbLXs32hFz/9c23v9uEdUiM7Nt6xG7WmNCfLddVk ljoAj8l47DuQTRgF8zxjIB887oOzja7qhZ5vX6sqQlRHomF/7PXgAt3MnRdyQIQzVer2k9ZN4XQw noJrAM7i+eBbOHxscISOYawSx4H0gW4A1H11AaUr+nYlYv6k0ieLx5rgzOCjTop+jJNT2XlhaMz9 mPdJYRshbaqGdoalxIulXkl4vR1FzYRRQ2hc6PbAfdLZERvlrgNuUNdqgFvsBp2vGp0tzvTBxQ9V F5f66tXPdJhf60DDPCoFMBcN/a9GvdnnbkqYV62KIddx7LzhIfXdt8q80TYOUFKqEw0e8lsts8uo zeN/FvlyWBBlhseOcDr4QRf/8lwpth5br5s7rXLAslHbfqfl5qHq4lzfvrqxtq+6xPGBJiL176Xi sEDs19TK0enj6D1FVhznaQI6haiu07NcZaOCcpoUMGQQ7XYmhNWVQ/QkTUuHmjO01W671fnqLDp1 4uhO1Aa8rcntXP2xs9E01wzxfrizzKef12rKWqs1jimkIXBVsaaBrmcYF6QCFEFnEPunzELKJMJd oS/rMrfecX0kxgGFRBZdWI0skRaQsXXfqkhMEXI7i8ieouwH/tbeJrrnYoRc7p1N6g9SvYqGBO48 a4lDRAUYJsTFLuPirC4j7I/Pze/DUJA34KGqa73e1yrpTTegfeMMF2oRuuaXKq4+Vr65dLlRcKtu Shfq6BOR/LczVCmjZtlArqsN2ZfWQsymCKSAtwMJffzke9o0F/rJV3+q/XAMZWxeaYIYX8/6ZF3o Zkf7jkLf3OxR08Vu3rZamyTMdYF3KUut4McaU0suFq0NoNnkLk12mvtqtTFh+c3ttV7edjo7y9Q0 0qbIUwvfXG/gIzAILFjLRpo1kI53hoYHlTncoSav3Q6aF6lZWeKyToYa5EEJEIJFsjW4PIwOD53P OdWeEcNDCwOTF0VhXYq9G57JAkw4i9C8OHWOktndMuFGwsiTFgdJueMqnmqgudscm6mk8Vyuw37W uIw6OhuEQyJOidMoFCYs9XNbaJ4afXP7Ux2GF24TzbWjqmhRTVtoGT266HIRmz8SJCQUgufY2cOf eiM5ug1Ru0MpOpYmc+W0uRMAllJAFgeP4lIR97fK7XTMK4Jq517dcVC2OjMfh3GZ+qP2dLq9yXV3 0wnGx1o1eFTXWkZWEAQFn0nH1WwYdSQplBfaoNymzW/WBVL0s4li56paaZiDCKdqoC7ryCTOnYZU rQbxbR5mkNbLjR48eKRXh2sdtrPaaXRmuyQcglzOZt0ORy3zQu+dP/ZZ+OLLf5dqQEn07dTPSyda SDawt0mFdJRKpSLpglBpLg0AeiEujVIri2DtGSKkzBacvVxNlmtTrm2srvutUVc0pTU973CbfXm6 PrcsMtUQukJr3xokvLN2LQmtQP5lQwIAaoVQL1eOtCGvtG4aR1Mkx0BOOB2uLWpWc53VjR397XEf jnamzjOSCXeYgQG+DflDJTUb1ZfvKV9f2Hmfsow2WHijk4X822YK9yFYChh6Mau+uPP7nZULlWXt 2jCLwfpW37z8eZCh6F7mCJ8yowp4Bw7gqIebXBebXFd7hISljr10fDWou+2jP1QhrVeZzutZF3Wj 3TA4fe2iWlrOl1H/VjWVxZCkqm/3o+5uZ233QZJ/771a71/S9gQkBzkYehgQCUXVprzNXqf2L/AR A95tp/Wmcc0ZoQ06KAjW9ji6JcjlQ5S9eOrou41nNRdF9s6oiq6Z0XQPVAlvQ9UdX64jS/3KHQo6 TGIDF9qSBg8wcA/R+TLgSpkaNzFE9Ap3UUUrHD6jqUvt6F92N7rl7voRBzHMx6K81AdXP9T17htd H79xuTH9ykGAUWgdSGLdQIoObgNzgtPU5xEml1PpMMBKeYfICV0knVJQZVtdB1iKBnzRkMObH5qw ri+jjxWE8al7K2QuthUd07iVxrUNEERu3xNq1vrhD76vF3c/VVZF7SV77cR7RjeFSWPXa38DGqQg PjiDES0RQav1QIGaQxwcIt6e2wyKz+iAtaWW8NTeTdlaWbaz0X308ImaZqUvf/Fnds6o9Y1qqftr CiNQ11Fmk3btLupp8VgUKxTnKYvaqc6bQDuUHtUhizBfSVA3RaNA9pU5YjcvJLSNTNqIk73JVK8n Lc5LbTaNn+G2b7VvKQgvtV4sHILDA1NuQxF4S1tQ99PCucIh0kYowslD6n1f4nzb3PMRTlEA60Tl BJI+vgvyPLQYfuls1fhsd65lDGPbjoVebSmBQ1/VWBuYU7d5N2jKlqqaB8oWcHkrFQs6AHOOQH6R ooX2t8HiqdB9EuGbybvf0HH0N0CswMmN9DsfV7q4KFVnozZNpstlpZtOujn0ulitdOyolQtjZU0N GiDXPhGnB+ENt7OuZn1Ysano5b1Q9cFDPX3Z6hdfXrsh2vlZrztqrUrgbgjksNbZOOi9h7+rhxdP 9NnXf+Gi1n6sdQaXdDa66yTZLHf5QKzJ6agzLXM8RByUpi5sLHZ4iy5Xd5i1BrnQWfVIIXXv318u cy03ufb7wbWA7jyZeCcOsr0yXi+fNFrvNrue8b4LaVFqsDJ51mqBvCPV7LlNLVnLTGNbaH1e6OB1 iewLPA4PHj7Q7Fx63wkuJ3V6gEsDqSzojuleYYMWK1BIoQZRIgYzX+rx5hO1/Z1ebL+2MJDylBAs Bs/nKgC0RV3U+dk3pbbC7jPKge5HLRYbdd02kdphqNK+jzq+6MYTRjY1UjyhMPetQvuVJWI3C02d yzfI/I4kSq58SLmOOq/UZb0O+1t98MFHGl5Wev+ycTIFbdK+P+qYd/eEOm1bfFCWTYhHy1nH6egO okmL4XDSHWLh4do7Iw0cI8+DbKezYdGCX2W5CiFwL52vH1vB/vzVUy0ox6kyba93gVxtBDM1pM9r Kg+25s7gdvJypXJRqYK/dXE1MoVUNVJmOkxdFBHjuFLGuEBAndUa6dIqOsZSxRBIG3Frcc6zifAP ic+z9o2NpRuETLQHihDQDRJdzTCYOnBvMuYYuEEw7XMo2QqPQ5QSVisKtRc4Lj/PTHdt5zWneJtO GeR+4a35bH5nYWQ6W9KyP3aiN2hd1LpGp+Y9WzhsPOqhqsefqIA0Pu0SJ5rCYJqSPHFY/IN+WGeb dSLehv9IdBWDKfh6fFXryVWhx+u1+asVWSNJD5dLoyBg7oIuktlgctiTTlJzNqus6RBw6EzGO4My 9LrZ77RcbPRoBSoqdLZeWKtSTFu1qi3hp6yD9+m8sWt9/P4PdLF6omq+UF0vohXwx4hJM/2LP/3X +ub6mW77SduOchTqKZELMO0EzooNGhyBBX7jpMsLpsCEZuoO0eQhSnPWdaUcr7eETA79SpSpRHsb 65FShwl/3wMnytTemfo0yk+C49vg7Y6TDnjQ1Jsb1HKxrs3HoT26XDDdBpgCy0m5BugDrx1ZoWVD /J/4lhwPSNaw0q7v3S2TtQNNHPpWRVGryR/obHWpz779I/MqNF8jPMCigOfwJzwvuC8Orv09/KT3 k1NMwVeUWxVJq+QQZ07iv5OekP+iQagJaXNDbLPUm/GtOj54xwi/0JExUqJwwsOtZ9xBljXqNI2V 6fqff/aZBaPvXVTabFifXHftzlk6T9eBf+nR7EU2bbmu1Oqg/eHa4V2Vr2jK4yaDxRxcLjxWdMZc mMZw62GQW16rXC6cESVMbOqVfvT9v6tpHvTs5dcp45mmOY0Undc22GRNCdN7uoWMlc4eXGjX3Tjs suYO2iPp5IyWPG8g8Y9pkUp4KPYGBf1VoWMb7XegBpxEIEteFqYFrC1DIkAmFqEqshh3rIjus6FT C1mN+7Sb03q3J1zlPnGnjCUIi3pUkLpd1pxrd0BvRyItxKaHA84ER1nqjJkK9NOCs3SBCNUIoHtK gly45kJnC3vntarL95UhOfF0qZA6+Eru9aFJPnQyOte3N/o7P/y+Pdp9DfTfCFgxDinXvh51/ijT J58s9P45dWyDFk1u8RkLHeUimae0uK4q9Q+P5v2zlhw+Z6fIZ0w6jL22+9Y1UxkqYroyDEwxqaJE p6Sy/txGkOpxahaJpy+Wa9XFSq9ev9DzFy/MV2wPg15f36XC21Jvbt/4AJ5a7zKIA8NDVsN9iOAf klCRsGldYggytYdQ6J6fVarXpMzxFqnWLQfWYmAmlS62hqxMLYU8SQSRXhSgumg7SYBDVMgayDwW IRSvDQFehANHsi79qLOmtqwBAwzHxAMkPYw4d5mPGnjfVGZEbSLGlkPOxuX9LpqFrlaN9l2vHZmY bKOrs4/05va5mmLWkcxqPppXc30jso1UI4o269RiBP7IZC2clXtphKFy0ihNd4OwdZuQ9LNIdwc6 ccNF90paWyzrysyZIXKJ30KVyeE90jGBe4lCbPaCa9lAoWThQcNlpU8//MSizeN00J27qEam6iQ4 NneX+nlFnw8ax02a9pGgIUOd6yrxJKknF9EG49pQ67u2ks9NE2Ow4kOhq6tHrlz45bMvtN3dWU5T NY0lCDFRBgoEJA+vOGlqexdlH5atpu0bI2+cY7GIhEhoIulswCImpN2TpIpEVY2xzHBQvcu5nNlN TeNOUgN3EltL58sHWlQLZYe74KqM6Ajz6ZJRmrvbHm7cxuYkdeS+MZ7tMdPtXdTLrhaEjaFjtIMy Z5uZFCcaQKJMP3o66oLI2x79JTPmgvMEOlOmOHbsYbzfpcp6pRl6Y+o8HyJbP1K+IpWWNCfmMt8O pAn9WaCue4N1OLZGJifR2N/0y2ORFnTynPW9jyb96Cpz+2LgJIgDDQ38C9zmhRv+H83XOGtmJWtA 1Jz+QSAkzBVNTClzSG1q8XAgMTYiEJ4uA/BfR8hfFPDTqNf7rQnL88WZPrz6xKnxv3z6l+679Gov 3d71mtzHigxHtJWp6bKYTVo4jQzyq6IHOAf81LubNi2Qw3R9KKKZGt0gycA4C5NcARwchqGec63d oji6Cmzbo7sMuN93BXmbRmi5VJsM1eTOBaAkk+f8PZHtMaggDAcjlqLpXpDTUeYTPAbhwqZKGjKy n6vQvIHhFnSnmCZmWfi6nJXsc1007+nB5hPtj3d6ffcLFfWobUcIEpouDjXEr6M2CGxo2MQRRkcH Eg6bqIk7dZE9KYVSH3HXsCWHfaLZusixuN2Kip3qHBEm3TFCqAhn4XrNXR+GCgTrmr04/G6fk6we oRfrfLu9VbloVSyqxNd0qWVKKP5DhU+LIRTvQTtkbaV18Vib9UVURIDI+oORUJUt/G/3cs+W1hX1 0z4MCpk45dosN1oQXlrH+Cb2qK89qifKRZS/UO7DHoo+VJnqZanlqtFqudGxPVrrBP3hA8kDbUMR T6b5tKjulgryz0LThpHj8OC0Ccsj+k6yzoRCmXm4qa90aPcuOPe4LQ3JOJeWdvzkix/ry9c/M3J0 nSKGD6NzzCzEBbk5wZO8DqcmNGqF9nv4tChxK4tOy5rmBOFyDh3RRFQ6tC0NLJmDMGmuz1Q/+kjF YmNeaiIJAnKmIVwaN3bSBMZnprOV/g06vjdYtJahUvu+bONv8OUUaFPr6uOFy25+//GZHuGZRg5h 7+JZNqB72tDAv2ztdWZqueYYbInXxHB1pK1pbVsUuusGG6dFmeuSpn+pJMb9iKDJXOOQ6a7vdYCz KqJUg4Pr/t9U65elHlBpvi70BpLY+ig0W7mbsrHRNzXSBn43tTg56VvcvQFeKLJDfX90poxYHalC WVP9BlyP+YQRdsRMOLRIXK85Nafhc501lHsEQUqvJpekMGg0ZxZfaMwm95gPhb7T+qm5DvdKK+Po RZ+pZHhmSkWzwfk8DEpPGOLWw2tdbd7T9m4rZa1Dai6O6TfzULnc5KMH76uuFnp1+1TPbz4Tp2BL V9T0TN2R9DTFhpKrNrp5YqQic5WaErrPVxyYEzFvI0XpChOF0vdPBoxLQaFgpXtCnyCI6Na60jju NLXc1jrun9FnrHNNdrZ3tw3e3JvcGiTWh3bMmYtkVUHMJ53QSVtk9MDagBZrrWnqZy1VruXyTL/3 vX+sDx9/qqcvfmmUhIB6Ua91u3vjlHtTLlXklYbs6OGnz+6+0nK1Ul03+vrlF5ppaYxDRupBi5aU Mc35t0O0XPstwkMQ/KDDzY0W5VL5OsaMoeuippG9E+2FIytKQ70ogwmdmpM3c7SHseMySiWZ4Jm1 5vms98sLXSyutNtd+x4IYef53K11Xu9epuqHXhUFzf1dFMynjiacL3OKafwXDplzC0LKswjV2W80 XAkwFOp51hmAQFC5rujhlWt7yLXGgXRUFqChYpbmRvly4yipcHOh5anR/L2xug/cUn3jyQg75H0X YXmKLwjB4pLj38hgOTvU5Pqt9wt9cnWpJzxIJYFcz1im1pAab0fszeGk/S6EMSrolONyaAiyWJLi V6Ht3PuBgUiCuI3eUiAYEMVuGC1HcHiCqn2AS2LyT/QyP7RvLIqEWC4LFPyDLhjgSKoXYtJz/PCU ELKldjCp/dFoEMIcHg9PRu8k1sUclXn5QnPiL4DOq5LiElqbHqIm6oQx0il1uxofLg5U1FURwsEh ge6wBq/bg3Ur1ja5qBQvmtnAYIBPBOSSauhUAhMq9VNPMf7jsETLmffOPtLf+d4f6Nm3z7VYMRuw V90sosXuEYK00cMHj/T513+pu/Yrna0zbY9R6xZ9vkJt7gnG8CBk5zyRIoSyJwGq0/GUXDh89Uzw EL2elOEJQbtO2VxkyrZZfxSHDE6rPezVVGfWi7kD73hmjRbh+eHQql6U1vN1bauBdL9D9xgkEkZ1 0oOrcz27ScgviZ9MHLM34MKYwuNkSogk4XMYlIEpYIrN3e7GyKNhqsmUGf0s67W2x5vUP5/BHFd6 /uqZjREte/rx6F7xbcE8RxxlhLaQzaBAKIzlolR+HNXtbrTeXGn75saJh+MBGcUb38+UniHCYEI9 dwt1e7l49iARC1tDVCaHbtR9MugE+U1PuVHpTh/MycTp/aN//E/1zdMv9bNv/sxnblOtTX6/2L2y c8/dfz31eE+TnTlHyAesyU51nTwzJ0eoFihTPzmQEDqr9HDdQskDOk6tf0C0C83FuZNEWp+pOnt4 33c8p0j3Ha3mSd8a9iQJVu8BUaqASMbK++r0QzYeJTqX52d6fXv310ob/LYm+mRpwXuLZQxbpNFa ewiRn3KHGSs6XroYE44q0Ag3DmohVPJEkWnQ9RGSPsSC7lCYh9E4jtIyKx1i8TBhtrKeQ15p4dFW 0QOc0A0CkAEAFtXRp3rOtViV+uAy08Ytg6NhHSS1By14KgobPxoYevORNbUxDLlzlWA2qIkGdtFe hE1GuxR6/oCggkRHreuBkii/ye646BjPFGQ7jfqOFP/CS9Dm+dgZWbIBia5tmOgSmpAaDxljT/M0 62HA6n7wIZVASLqsFnqwWMd4+fagn3z+p95A5ZHBoZcOX17dvdSb29c2nk+vP9f17nn0acJWp/Fe PiLwIKl3FQcTsrTKSVrQU4oOk2ksuntfxbTrlGN4p0NC2h+prtLfSzyWy4FihGWkBl3OdOeSjLJY 6fxqaQN13L9WXpxFm2kKkNtAHp5glIh3D27NJ3359ZeqF5Mm9hGO13MZyTbSGZPEBqeOcEfqmshG L+qlfvTh7/va/uTn/8KcX0/jPLqXfI0jyjUUSDgZgxfX8fL6mcMq9hYG0yjE06OiKNulQzMcTlbb /1cAACAASURBVBhGsnblAHJaa2DadSsVa66t1vn6Ure7u3BxcJhpBJzrS91dNfqoe4RWgqSVR8CF xIKWTWQ6EU2DudBkGRlXo37yix97LBZhNHtozDrth4Ozo25aeSrNOsknjezje6Cl/ZZOuLl6DGAq 2l6tYshIh3MlgutZa5oMjlo2PI/MVMOBzHtzqfrRJ+a9cDAgqpNBuZ/i7NxEmn8ZJRP3E4TuDdcJ tZ9sDuv+rhH69sVLPXn0UJ99/fRX4Nl3w6sghatlqfc3lM906BB15M9h1Kakj5J0R5zOJJVqoVWz VL698aHEWHEQITZBUqhircD2mHh4i2jZa82NkR9Fr4WqOderbWvrXbsFSGTv3o4LHx1GRWt0jAWp /FqXCwYm9HpNPaGLqvFiMZ2YQ+heWDYzqfvAaQMlDok+STQGDAQWmrXdeLTnW1CUW1U6DowlwgBF nVr0025iVBVtVdo2lPJ5pps2JhNx/bRuxmMtm2i9wf26KV0Ky/h87tGNBesmeAQjFjYpxrrSkjq/ zUOVzZX+7x//oYlhzlI+Nfrw8cfuc/7i9ivVi87kNLy2W+CQ1acZHvEV2Z7UnJCmeocOqB9zDC2s jGrv1MfIJeeaKDMBGKTNFfWicTAsZUjfq/ONZSL77tYF8sFL3XckSZt4r35u7ByKxdn9PgPhkWFq oAdSozr4NTb12dljNfmsY3fncB4awmJYo9Gkl4BVQmTLfq1K96QitNrurqONtvauoKCJHZokc8v0 S1vUYkJ8Rg8uhL70EUvTdcxn0dKZDDP9tKwCBw1RkQGqro1od3tQ3qz99d7FzTglsm0ILK3m96DT kKvEiWMaUXQFBDkBR+E3rcDPQ5kfQu+oO3ULouQs4GehPG62zx22u3aSAndPFIoQ3uJLT4EKSY9D 8uKt6Hl7S5Z+didhHIsTAICHiihhVJfB887Kl4XmA3WUfJ/uEdEgLIeAXiyVL5b3COq70E/IfuLJ e5amAc67yCpedZpR424uA2vzztf1zZ3+7m//4K8RjzL4EJV4obyu9P4jMoKjw7xFVXvhX3d7vdpt zUcBUa87ExPatQd/D0O0zitzQtxUO4LCInUcKeQkffAQy6jg9mggHhJxe8oiwOVwPZRZmMtxS66Y cAyU3jKll6wXornluUMvi0uzWcsabVbcJX8WGRwehmN2j3HkBBylDcMeC0LO2siJazqN6oK7wnh0 qJPnWTf70Zvp/QdLdbhThHSUvjRwR2GE3IKGicplbj1UO49alI29+F1HooFxWCERiep6OD/pVXf0 +2wQwoKkplkvbkbtjmSjWj0trzXPt6qrL3V1Hqr8J49/T0W+0O5wra9ef6m+uo56RuI1NnLiXMBu ENgePWBYz8GHA0LSgXAUVTRhcWpiknrxuyvEuDYNMObbyNyhQaQsJZWteL8iXWu3Gut10tNERhHg 4E4MdDlLuR5kHpDtZN+O262mBRKWIKtxZO4I4UnJmQ67TKsCgmWrzWapjs6iKTlgzi2FVC6rmUEJ jQ5WbCOMbG3AEWcuilpb6iVTJwk3faSPelVrVVZ68viJjQyDMqKuMQTDfMKiQbZDWEwsReuaLrKk lOEMt1FMjQHfrDV0OxdpdyVIrjWatzMoTvKDTOXIuWLGJZnrhbrjLoGDCBFDPU7GeYrWw+YRM7Vp NiGOjR5n1ltFW0nvo2qulaF15Nrv5ximDiOpYoGSH4YU7zppN0nrctaKdVhWWi3ob4aHKTwPkXNE d4zjVro9xGe0qLvpwnGxvMc7pxAvWoSnbh2niUHpy4k+Zx+DarDvS8k/d2xJpDv74lcMFjE09Xox fuivRlYYK7Qo1VWlHzxpdNfubWGrcdSr3U5/8fxbF2XCaWEYILZf7W793herc936IUBa1/bokKkM OeCYUrJBOHI7kg1EqVv7vbbHGChAgy8QyVJwSLULgvHuvJeznB4bjpYKoV+UjWzs7TFgCATCW/L5 6JKODHMAaruvDH3DI1FwGvHlHlia9ILOAKT5GRaBUXVLDEhfNuasF29IMkx6dE5hH542vJhnzU2F dUs8BMIJOnxiKDa+3hAOdhOZGZBXqOBxbGs6ZZKgYOR3VejLV0e9f8G9lnr2ItqmnK8LXd8Nut1N eu9RoR99yHTZRnn2yOrmL57+seolJTatKs95pFlhTGNBCweqJbTeVIE2dxR90JPK7T9Sk8Jusn4L QSlDVIHOPggZiZRQb5OU6/ZUI0jNkzS4G7tINEaBOpOBit2pHX6sH4+hiyEN7ivoYt0geLv9VlW9 jhHyOIUDhy0G4mIwoBs+eu97evPylS4fYbTBJbnWanTbHlJ4ESVM7vxa1SFCRXRaQJJXLuom20yH 0Rh6HFM7zHthuNujFvOsV9cv4jhgrEgUYRCgOpaVcvRSU6b99mhOFz+F5MA1jOXaYbOqtT+vLi7U t6POLx7oyXsf6Mtffm69FVsPSsCtdEByNNYbel17bmMQ8NFPatJ2F0LXfEEIhhYMgxPqW/cX8H2E xACUyHNm6GvBHkS35XqhyLRGx4aYvARKRHF+C30daWBdnlVanJXaYnxJ7AyjtsdR+z4ypWsSWGeT Dn2m/hjVAvn6ocrV+dspV78Od04trEwXpF7/p+8lLd6p+6mNW/qdE5/1KwaLC7LFs/H4bovlNPtq oea9jf7hjxZ6smp1045a0N3SBZhhQc+axoaH/uIgF3ICaKC2w2CCPerXnH7wZiJwX9LrCCOUzVq4 xIMUf6cphYMmFiHLyTY5HTVbkgBMZkPwlihqMRWNMI4LMZxnVGtyk15IMU2n0BHBJojOc+BAcIM6 Mh1wVPAjxPvOOkaNGUYGhEGWD+9KZwBCTxr4vbzrvOEfnSMLIdkwWgEMGnqwwPMjJh29DsEZkE3B sDCppXOVASnevhs8GYW+5AX1kRnaLhTBMRzz/fPGiOrlm1bNctLDs0LPX2e6vQnv+/p61NeLUb/z 5COVy0f66vlf6PKcavrTZBXkG9ELJIY7zHpvs7Kj4GBbRd7G9CAGcFiMijbHhPBkRDtMlMe8Lb3p ebskGAVJ1B8GoR5vGnsGntWUImPZ3PMp+C1nn3omJt/3jVOOtovXuc008Ite7CkL67FQMayiI4R+ sFK7udWDTa1df9AIB1qD96S7Pcaot2iznNY6yy8ZC6MGJFFRaE/P9qNLYfKR3Qkr1xrRO/RNXp8Q /dFyrcvLh/r865/qeNjq2J46dY66e/FG5eJcB4bVllEL6WzfsFWen2muVw7b1iV9xDjovQulX79+ JiI+qhxNjaQpzISoZKYxTu4a6+Z2KUs2IuMpdHW21CHbpz7ohRNYp/Kn0/xEk+o+9NHp9jSyHoQP tXCa4sxisT8xihnhHKLkQnrvkn5zlQaI9TZz23My+WQjJxdE05UjEF+MfOPZrlVePFYGD3vCN8nw nIYGn/6djMm9MTLNAH+Vet95QvppRgKF4Mmg/YrBOjX4Z57bze6vmEdIHH1e6/sf5/qtZRsN25I+ o2M80zgYGQF3CRP3fa7KU4QrHYDsU28YTm/zaDFMeQjV2509n+G8eSE2TlTbxyGDLH+bCaKvN90D FjT5p6skk3Y96SU0SG5igDESynhQUWzkV/udxr6zN3BXUvwvUgv0MJDeda27fuu6Mh7+0S1NIDfp zDDp61tS/FOEeRXZkUwPlxjHSq+Pnd4cOmf7XLnujCZ8RXSKJDTCcxvhzLneHIIjOmtyXS0aeQRI z2DYQoOHZZS66UaX1pyvSn39otVuz3AF6dV20tPXdGIMw+5mdHtqxT7VTbvSLz7/U51f7UzEQ7Ii msWymB9CH9YN2iyQI4duiGLdtkU3lGY2WgYAYcvvRKGyRZ3zKok8kz2KOas+EOUykemk2pn0m5KZ 3mWnv/se41v8znItK+Rdt4eVIuSjTg5RbhMyh7ncaLFyZz7XuXmC9lDom6df6/1HJGPgNlPJ0tC5 /i2MdByK1WalH3z0Ozo/O9d2u/MBplXR4XhQjXShbvTli5/rqzd0aIhyMSd40rwm91Nzc79kgJO1 bo/wS1EFDcFNeEh2E+7KXY7Q/FU4brRdZL1zbd1iJVTr9MHee2ghyqhU7LydVZ9H4z/skJ/Teeln 0IGozyo9ubjS8wPG4mgnwxnEgVvW4mG0ZO+YiYjMA74rZnNa9OpBUKkx5IDDLnS+XOlisdKbNzfR 5hzaYgGIoM1ztMrm+YDOalrUYNhE+xfIBPjEQvU5Uo2HKtcXadT9W4d10na+GxKewM/JWEV75xPn leYDvBNOnr5+xWDxgxevXuvJ40e62X31XfgqEFZV6KIJ2b0NDPErtXlDb9Kd5c4zIDD9hULAGM3c RpPt6FrsGZiWQgF06hkFAW9YC3GK4NH6pOib4syOW7fMGosgsB05E0IawUFgRpHsadgmk2F2jD8v Sp035yoWperdrXte1WVjgxVq4ggyagZmjJ1Fo+6SiEeRdEafXq6rPdoLni8oaQndF2gIPdbRnS2l zaI2HwMaia4xwX/hxdjcGEZCztsDm23QekHmK6bqNnWMaoK8XZvYLfVi2OvWnETwSTRleMEkbfNv aXhHnumqKjxx+WJ9oT/8k3+jcj2q94T7YL6ZTAIh27mNR/Ruj9HvlcqstiLmopj09fDa4ku3WSbx 0YcwN4qtIw3u+0r9oE5zDk9C4NM8EQNVFi9A2qmvo/+NiLgu1+ExXemwjwxWtYkW1NqrbFYWa1po T8sgd91MamckK4uFfvjJR5r6V9r3rZ7d3rmzAOF08D1JRlHkujm81F9+/WPlaJKseKcKA24sMsQc jiOTcKhQSJonPLynexe1D+zt3RsNw6kFN3KXWJticeE6QjCXy5n2o7NrRblOVEV0BNndHfXwbKOz FfKbUo+vHuvFm2fCIrPOVEZ4Sk0MLHItKZ/htkZ0PqCkrWlcbHzX72JghjWHqROH+2WFnsr9W5O8 A+DgjKc7uVLvR3KALC+hLwkB6A/p7rjVYlNoDenOfrS+kBZI0WnBhrxk4g2dKCD+lyoXVyrqpSam IjUrFUy3SeR5TGp4R1f1a0m8k+F6y2md6gcjSgtLl0j3dwj5XzVYkl6+fqOPP3iin3z+XQYr9Y3u J+2H0sK6aTimQsnR3QSQChAOOqxMKQIKUa0sd5En1xHTPSx0A+VQdoFBmyeti8pTeOwcrVnCu4Qg 1GJJZxRiQ0ZmfFZBWj6lcDFALiGxwJIi3mif4mp/5w0pcai0qRc2sCAepBfoxTgcAXGjp5VRi8Vz cR8UfTJCCe7MvbDTNRD2xzxCfGSgRtTRAeXheGip0bs6H67iwPwsTXpvU5oPzKz0j4k3aGF6OgrQ kZFmczUkcrzfOBZ68brTbkzDZO/1LKxlqe9//Ik++/Kr1C1g1n5HN9DItHr96BjAZzjxE22GvZ0J G7LRxtrhtSecsFrJSSViN4aJpqnPKQQ5aYNOOj9CWd8nCCMNljUgiQje9YNuY+wOGIXV+XOxjklH TqpQ0rNJzaQ2MUAhNaU5JZyine9sBEN2mQz1qZ8+LYFpf+MwyOLRUWN/p2t2Cm1QaIHrAR5MZk7h CZ/BwfUMyjgkPHOcyNlyqc16rc+/+bn5NKvkKS4+UM+41/n6ymS0m0UyNMMZxpCdkIYfWiQ0oPIY VOoMec9A1RtTAFGGS0cKqisiu9weJmjIyPIx0s5N/ws3INx1Rxtcd7IFLZtvjZrcJIkyx+dJPnmV EiXR0x3JET8YPckmdHXopm793GvdQrZns/f3PC916KnNndV6fByRzFFHF7+vVV8+UbW5UgZ3krrX etDKqXd8aof960bqLfR5S8j/ys/Tf6ceWn5tqn7+lVrC09ebmzv9g7/7d77TWN332nBPZ4pskTAw Ky8QyZ5MCrV5wFLIaMpmcLmQdvSRgtBmVd2rqDUX4SyRO1GeJnZEF4Eg48kaRgaQcDAOTxCQ8BDU EWIoOKBxdtI4+NTbC1RHoEA6nYJhXkdoyOFYQvgTd/CAGsKCZZQ1AKvNCEcfJQwa8oMYrQbxmNlA NX7gIYTj9xxawgf0k5votW1wEIQLDIN8+SbujcLy7XEWjR+qOdODNfxcbHB3k3SmNB46VQGbptDN MOrpa+n1m1F3TPOAOD093PTM33vwwOvzzYtX0Xf7GA/ZAwHScE08P5uUULCullqXK90db02mx4iu JHB1aVVkCScGHnjsU2z4nlKN7EyTYoqM+dNoYhmK9tQWzcaf3XXqzJnCdBdRJ6LXHY6MgqJxpItq U7jl7J4PPrnIpD71RGOyXPCtR7U98gzEjrlbansgrA1phBY2ih5+G1UIVgM7pEPFDWsV4dSp7bVb CcHF2cBH6+plE2rs4/EYrYRc/xmdPDLRFmbSsW3DSaUyJoakxhzDpJWD30Gw7H5oRFwUQkOu03Av HchEnsONeuRaVitfRF94G0/PBezs7HEm6Pq6ntrAKiQR7vQwKSOB4eQ7BeNVGiIcRt5OiM6fDNt1 t9c4L3uGwNI51/ZsVrW4ULV+bDTa0zHCz6HRdDw4UiiajcWgDN49EeRvw7fI7MXQ4DTc5p1ZEfcm 6juG3rzLbZl8PzVQSvKHOGe/9gUZDfeTJgR9h80izY6it1Q5dRoS+gFqEqcz7dl1SVbkMrWVbB2Z nfBYtCP2+HAmq9gKAHl7h3u8DiV8kG2FunZQgdZq3XiyCzdkTiYrtGk2yvODw0x3/aSUhwPHyCYX 08boI8ItiH8Q0zh0Rn8njxMlMLUy4nbDaDJoGLQI0Q50jmRiMBOX/UsxTDUa2OXKBjqTFlFyQrjG n4O071BpDzGUk/Hk7FjEi1E97IXdZ9Lzl4NWdabHZ5V27aTrPcLUUVdnmZZscHu7Qi+QciBaXUrn Ta5bqpR9zmKjX25qffzh+/rim28dZlNQfKrP6/ZJMV2P5otIWrQEHCM9tUf19q4n9Mo+ipbR6wKU nPuQcP6ss7IUPQzTNF7GkFF0QtTZ0b9/4W4qyvKV8oms6tuu2fe9IRP5O037GBnl5mxvM0UuvOad CVcJiymVStk5Gx6rUMMwnp9f6XBzdIsUDoAHXrDT3BH01MWVw7ZJ49mCwijIhBs1BidqVIxj8iyA k4gyiGnW5eb2JowV8ThlR65KGN0bCi7Ng3ihK1xXx9SlXv3xTmIdQCaOIkr/nHC7KBZaQc5bShIT lWxQ0vALmgZ4uhOJEv60vY4GdvcIxYgKmc3g/YnhggdGjuFmfKo8kYrfMyfk3vJ12puT8Gc0iIDm fX0rZ+XJSrO4dbNWffYo9YFLJVt5qXkRcNoTwr+j5jgQeDhTGx+3TH7LXek3KNp/JSt4+n4CSffC 0V8PCd/NFBJ7M3bnOyyWofHdrlPzPnT7Qnep1owwiUwfhc/wV8TXEOlkR/i7WxCnzgFrUA2DBWga RlwNX3U/ciqMJdxPoMFAXISMbDJCS48EcgkG3Bd6oghd0JKgQIE0P6ulq+WZS1fowrBelFG76Bqz NCnELpUHUui8Wbgi3qllb4ZEWBfAZdK5GGbYikLbQ6bd7aD93SFC5LfxSvxHnt8bnDaN9x3sUigX j+D6etRPu1Ff1nB5EzNo9f45pU2FHiJrQJmPipoSD+QQPeFrkNr3tQrK9OGjx+raTi+ub2JAwSKM lftGDtGuY8zh8qIdSdcfNTJkFPmEQ3XC19JlQ7wfBpn1e7De6FC2TiIc+hgo4ZmOHowCOw6zm9mj e2gtwkiT63uHgHxFW+h3Ws2EE4+aw+pOWXaRxgCEV7aA8DR4A10PVwzpRY1gUvf7EE6zXr/8VlnG dREiBdELqsV52rb6ZeAoZoSfWWFObSUVDKA3M4z/P2tv9iRJdp13Hl/CPfZca+tGo9EASUA0GxpN YzZjNg/zL8+7Hsb0oJFJMpEjCQRBYumluvaqzIw9wmPzsd937o3wjMoqAKYJslFVucTifu+5Z/mW 9NjYFQUkAIZ5nceXT8RjfHPzKmCD4hjezXZFk6LhLDs7mnNRkWGua0K2jmCjK0JwQGw1xKiTysaz O9mJuUWcb1hlFfiWVImtPngPrRxiQLEVzKRd5pqYsjYJ0oKeSFMuF2aLCTtlJ5QfMuHFDoUUghWf j8y5tMWy0kSTeIOyAg3yyRq3cHdiH7aY1JFhusB/CilU48e9pe32EUMVaVCNIBT9DYWhik7pIXM/ lHUeoe4FpXv4rPj9GNBO8FwfBSxedDpb2KDft2o0eSCKmrh36AuBySCqC1wITEUKlV7LswHdraVl taRlfMwqxrd89rwOjw7GgDJVMmDeEOR3wUnJ8FEln3vx0acarTAJoFwCFZ1L81u+hGXbemXXirK0 2+VUINKi6Fmn3VP52tZYfKO/yx59s9bp1st7wofJAInASoBarO3NCE0iMqa53U2Wtloh2Bb6cvI4 J3NyCY1jAInlWpj1aueF0i3myQf4b2LzBXQb96fj8XZE6eAZ5nRTS0P9ZmI2BslXqRt7fK3E7Kzd scfnl/bj6ze2XNHLSW01d/R0WiZWdjDKhSnvGBz2lUuZOAaLDT5buLMQDV3uYafo6nRMg004d4Fy 0AGj4eWJHbjK7DeWQtUIbj6S6gomIEz7eI9osglUug+Hbvivtn64FC4K6AYVYQwObxPrs8KNKJz8 7hpLXErwR0zk2oNLm7Px0TtTEwrJFp7fBfuExE96BzUDt47ybMbZCJEE6ddcksNSd/BbNpre2JYP tXNOJWDp9XqjDI5+GMMhBjDWadtkubCKIFgOAnnY0fhSyQBVrkyQdV3YoHdutyPKdyfmc99UJpON V6ktPnDIbAiz1r1wFPxWQyhwhOAAqVDIqlA4yW0elCmE8dsAYMZQBcJxLuwXyT6f9sPU1TCG7C2Y HnVqww4ZGtlex/ISW/HCtpMXVlcLS4pLy8qepVoH0UkqVFrNiPLA9C+MaY/l4snPNYPd4Wun3zv5 mY8CFj8wGo/tbDiwDw8ELA20VfIhLGa6WdJohuNHOYKGECh1GowFYmpgjBzwF5n2NYA3ZFDkhuz2 4t4T8K8lWHAFZURvZoMZImUApwIfb201KbbGoH4iOHCKnhmUF+g+oM23lrU6dtY+t/F+bMv1wgZl x/pF32brhb1fTQQkpB/GCOvVuw/2+1d3tlxiYIHZZ4ApSy+bFcNOPxKSDxY3EdIdmvPHR+SqHG9q OBbujX0PUgd8YV3bq3e1vRrtVF4vyHIJePE9NI+mLLFvvnhqs8XC3nOvNG51hU7Iqo6NyeCfykiD TapMhfvAxA2b+nUlTW4x8LjeZWEdeKFMg9ZAGWqbzpe2AMG9dW88tw9YW53NzPqeVQH+RJ5fn6QV AhSbxM15woTR3yIfR/0t+n/hsIu1gCzk1Ut0W7Js70wH8Emua+WHBtNZMJS5loWDGnGa8QoBoCiI 9FxN/hrwZtKzDXpMEojzvqQyIPkyeiDQdDNkB/wBnWc1XQo2s1tPdQvy/MwVExDj22ys08oENha8 AAgAgyQGLngFoI2lSSHBK7XR0nuqfEZ6YoIc4Cuoz+fWXPk+tVW5sbS7V8CnLB70C6mrbglKUhJx fMJ637bRJrHlwuy6k1g/2SoLp2VD0GaoMZvyWrXcgZJyaJcXV2o17Dlo8sLaRVufWQTrXt9StNbW S1t9eGOplENyAUHFB2wEjxgtXMi7ueSdzB0X9+GgCA1P703df7it3kmD/iSgxT8/Clg8bu5GdnV+ Zn98/vKB73ptWvY6tsG+O1hbZ9L2dmNHEYPRBWeiEYxIdTog0ZJnNmy1gvCcY3yQhlHtq0aoG+zJ XUeTOG8YS7ZDDqWcJG6mSSZHtkXart4MpYzkZ1Dp7Nu2YgCA6mZh48VennGzWWWdrLRep7Av+td2 M53YP/7upd1Nt3a7AKYcHEaj5UlQG/KxmPexDtdBXWbnbB0D2ekNaQSzWShBIWoF/lZ00fFdH4Ia adA2tUXEA8T3IG+60BBKa3tyPpRK7Pcv39qk2lpPxFE/4cgcV7O9zba1PS6R8Q3M+nRvy2oj6Ijq pt3M0qQv9LwWk/oQOw0VumUpipVL6npfSPQo1GLrmS5V8H71EpSSMH5kIBW9o4FsAE/rXCERytML XQqGKeK4BWsucFEqzQJoi6kh07FjQ8yzdDSbXr97Y8P+X0lxY7mubJ1tBKZkEkfFCvKFW6lkfjeX HLFI4xYCugJV2GTq+XHdHcJxfnZpZ2dX9u4W6AEb2oMs2SrfL/O2lXWug5jBgA8pmCAyBaUUxE3G 3a5ni50qjfWHnV1dFbYvUOeceQsSPmGoJCj/CVBQocqfpzZ64eW9AJUcvimhkiqEQN+1b2+2djvZ 2yVW99nOxgBsMxcaZFBBr2pbZRKenLaG9uT8CysfPVb7o14HfwBlgaFsxziFhCHNrX3xjW1mI4cq BG1/DxqNEu7Qx2qElwYP0P/3fn/qo0cDa3XMso5ZegxoPDhkXL/lQD/1x/vbW/ubX3zz0NPr2ZAR 5nTChGGbbNQ8p6YW5YEsh40A6ViNjVSgRF3oAmKLfyD6Wq7043ggIXnl7OKOMhLW1zuGIR6ssZH2 ZTRP45sTnx0jICHSMbnkQfqtrnXyrk6tbpdTdWt3s/e2268lUnh1/sw6xcDmMwLdteVJy/72p1d6 /mGva8Nez3777XP77s07e3k7DvcjShHEUi/ej+aNChOugBWKF179K9T52Sj9xGzGWCZiqKi5Aojp eI+Pz61NGppBPCTuZJow4iH582dPbbOqbDqZWl925cEFuoZiFKHitZ1hzgk/CckcYd/gWPrAI7Wu 7aqZVaKB9SyrtjZP0OMPUs4Kmk7D4RBi6gvU4JArhoCg80buyJjjgg+aHi5L8BBweRJnLmnxMcXC r08KBUzXAuTCUdp+CYB0MNr3wM6h5a5JkYTd7vRs+mZlq8VKfTQReDRI8IZ7nQ/N6om1sr5wdvRS yYKQZSFwRqee+HkIDoPepdbXD69+r2zesxEu/8ASAE2M4tK9JojD7lDYLOzi9rOWY7Au7pVuNQAA IABJREFUnV4m8NPK3ZrZkP3Hha1ydNXa9uz8sb0fv7X5Yu5KEoEoLJE+suSktrMvYXAwYXfM1Qb4 Q6uw0ay2dyOYEdpmkniaj9a249AK1K3Vgr4a7A9cbvb26OKplVePgrzL3uoK81ZIzdBoAoQg9tLQ GhtQCiLQeD/MONfPp3iOwWtAFZql30kj/h6M4SDSfnzEoHQQ72tshSZei6L/o5DECQy/TGz7ByaF Cy4DaRzj7yDhwY2mLBSBUaBLJwh3uUCMc1XVQF9o2aDsumLotgrUF7fB0nwvWLULse50T0u4YcE+ LG51xtrIh1DaYN3UtrZ1UWnYJTrhmHQShFhM1bo6ZBCzxVS27gD10IX6MF7aeReNqAsbjcbqM/zk 6SMbL1cesA4Xt1HuNU6Qzz7SxH7x9ROb3I7t8RfXYfPu7fbt2N78MHJE5DxEvwEXIYCWYlYW3Izi czXr+/PBQPfo+5evXfA/jIDZxItorKDMb2c7pHjXyO6s5UOoUb7gR2CTIP2Gg1EqsbVNGOGjENvp angipLt0L3yaRkaT1kPbJhP3HRHMQHaOVhcTS9MLyzTynxxApi6LAgo8tPW2E0t6Zy4VwySwdfSu 05wQcCnA40GQOCGo5QFSI3WI2nq9gX334+9tva7kELNUSgW6O7FW4eR6pHv3u76a6WD9WK+BNip4 QQxWcYCDo/Jff/Mr++23/8NWrLFwbXudJ/bNo19ZsmtJJwu+H+q45+Uz4a762dJmSeW9w5xJZGaD 7sD2/b3Q9agdTLbvbJdVWrfj2Uj3wyEK0GLcLUiGpEEJJe3Q2nBpFpr2GaV83bJ3063djNdiWHBx K9aQynoc1z27nK8KKy+/slb33LbryrJeT7QjT6YSXfuYWR7KtEPrIhQY0nl/YJ03mu6xSR5+7aNt oYD10G55IGgdfl7P/3BQe7AkpA/ASdQuCvmR3TObCFwfCJX4vAkNvYOfhZQwWRHMe4o2eFg7TSrE Xkf2BUyPnIGRhsWlplCzUSROAAbKxsA+uVCSghgTO2kcebCSymdAIrsTtisvMDnkxruMsKs29Dul VeuVTeZzNeMvhk8tyzv2/Y/f2Q/vR/buP/6DfVit7HG3a9UKd2pG6Q6avFsdP3c4rgOAKIg6Ha5w uEua9TcDjtt282enA7kWJ2Z3GfZF8MDzxOrPwWQHVc7DDQ5Bi0B1dX4uDiLmIQK2krgpJQn/aTRF YNpK7pb/3KDInaqFkKa341qGIUZC2HXhwfFqpcz2qgsVZ6/Gd9SmdwVx5/cFp3QZdzIJJNuqkjvL kr7led/q/cwndmI8eGCLpq+sH0wmJPdDMo73IpPjIPXMYcZGlYqEMFOh8U7wSmv76ouf2fublzbs dmyxdr0pIBDqslFeIkGDykacNHD8SbcfLXqC1lB0Fm9l8L3Uup2B/eGHf7VqS4/Js6PoCUimRUYF kJShwOsPbzS86JQ9u7y6sGlv7rgt8TZrWy4WNoB3iyJEt7TV66nNd2jFYWxLecOMVhh5K1NUOJyj GI02gEhI258StChtUFIx5Pavuxvr5mY3NPF2tY010b20VpnbMiDCsssza108trQorVX37wUE3XM1 EYNbdBPQ2cBMxcFOWB4Hjl+zuR7lX5qNdGVph7btw0GpGehOH14K3p9AHpy8H8qw+Kb6WJcXNn/9 zjdCfGfOsPQJhOWSSWERd1q59MvV4hINAxg/ky5wPE5QlgOIDBcc+Mb3MZZEB8rpBc6sV1anMenO Fkz11L0NCOcQIBK0t/V8HhBHy6Uts50a6vnaAxiYMiaCLLrX45V99eU31h+e2/f/+N/tt68/ODbK zN6NYukXtS08APU7PXt8canpWYDBhV5WA0OilR9t6n3kz4MsZrKYWb3eWCcvbDWaaaLJU2Nc8de/ euKE03g6ARYNJZ/X8MA1gidiY/LCtzlI4Ht+9/xlcOuN98UlThQLWxzLfm+53kxVS9FxghrnhoXd t8Rm8a1bLfKpHwg8H4MOuG4sbrdrJ1MKlItwLzQPIHtCUua4xi3N+LxnCgr7euJmqmRhclIODfg9 EzyyLK4bmTaf2c1EFBZDP8ThBg6vTzQCJLjUNp7c2nBwJimf+RIsnveQ/L27lyNyRdt8rWySBvcq oumz3sE264ARq82+/uJn9sOb763YFZLfltGoVDOW9odXv7bteioEfgrXdZ1b+6yl9U2fh+y1qEvb rhK7u1mpWY8c9+AJUkkbQWrAyPWL0vrdvq23lVVr9znES5FSV8yN6BMg0KnryHesY+0MszAvE99r WkzTEOOEgbUePbNCGlReClPJeO/p/r52RPp9zfSo0no6vYuD7QDZPfzeoRwM/+vLL/690WS/d942 9oz9eY8D8r3R58qdxup9YB7x35Pp1IaDgS1evXswlQMiA8+JbGod3F3cVcQlgUWJCFNEGpNrTkwa myhxBgKun7oOVRAPMGA4IPs6etjtt+m3AAAF1qRpECNgbgjxg56NMbZ1HXdQuWQPc1C5sv/JrFrX 9s8/vrV/efFflbU8fzc6BCufzzc+W5KIDPrk6pFdnZ0HUX2GB1HIOjTAG1ffL4l/L94wSfl2z2VX BtdR0yNOTpyHVyudmPPbpbILD1DNflgcPnpW5THs2MykkYvkye0E3fYwmIiDGcpKSUDHHpiXskj8 KGuJJ3jgeiHVBgiQoKQgqSGwB0/+zvvrlqkUJrc0nEPAkgZ4rM/rAFVQeusfQaBLeHc0opO+m6AG kTmfxsUY69gmqQdQDoVs1qWpmRaH+7THxNMDZpLtrdvpSsoYjau67osQndS3tmUsqMGMK7HyWqv1 UqDhPetBwbd/QLsLxyePvb0UGdaYpKznrvQAdQWNK5U1HJrYcvOeZ5IOLXBbScF0tWyPq4Ym1Ois cz13wukxVOhc+KChmu8svUhFr9nccY0D8iWoKQDalYoFzykQ9e7Q02MCP68ASiPFROZc2ODiseVl y/J214rhmfrKD2YtoUF+VPuMCp/31/3h+6dBJUatphTMMY4chyGhe3/AUj0UhT5RCt57rfhzp19T hhUg7YtmGmiJXV5e2m//+EPjQ8U37U0JmrQ005fBCpxyqqsRkL9ptLa5zX1kPELzXGWmZG2RzKAe dwqIy2pkBykJOHir0IAnKLpnX0+b7cN8JFsvLs4K9YGiLT2jrmARNHu3luzWkmmu1nt7O9nZt69n djOFgzW3KRBiUXLC6XOQYk2sX7btq8fP7NHFpQLm7WRsb28+2Bj3R6VOSJpGK+OTck7TRb4fvl62 7NnlwN6/v9V7LcrgCrTCLosbn9mrNyMfrzWHi/E6ixsX9YZDVGxkf9RU8ZDRicdiV30Woog0X/ic gD1d0je+V6G8RVz3iRjIb6Z/EdznUzQmYa7mytwAb0NAiy49xHqnWRyerzEzADAa41giCeVBWKM9 Z1DkaJ7z9SMsTdfDj27HUQUQqfpy4fmBTVjVMmsjcQM+bi899tnsg37v8cUzmy+ncqWWAYXWljtA C+kvaZS5pckg6Jg7EJSSTk1/gMqdvr1496PcbLhuqHqw/sRxrJGL6VmW8XkCyxIdfbnIcHo7OwI9 o2G/sE4HoGVt89HObt/s7PxJaq22y29T6oIVZE1UIzTavOerGU0Gq4IA46WwC407mfluvrTJEot6 xAgHNnj8zDLg6jLNvR+sPpJyaRYQsjtriOjF0i6Wek2cVePrB8KyTtgACD08d+M5wvwpln5Nyo39 iXLw8F4jCPWk1AwkvrDKwoK+6LatB+Hz5vbA4zmuyIg2Tm1YtGzQQjbVU3rpAIWpgWCHmlxxL738 c5kh70WpbxEuKlMQdalAwqPbLDkPeFCuY8XoFY81yDbLsrLZYiwRPt3MNLPLwbU97p7ZbHlrs8VM N50TdLxc2m+eTwSMPKAKwhjbEYweCHpFaV8/fWZfXj+26Wxmz9++sdsJriPz+43v2Hg/3Ml785Aj v487V23t9ftJkCxocFM0Zw+/r8AZ/n54jftj4cNLxIwrXP/u4WccEQ3z3uHle+t3HKnMpPCsndrg zCVjUNqMGQ0jbDXEEbhDSkdul2EYKv6hK5AC2PQsi37mRlmTdN2znm3QrgrBVu214PKsDmS4vGC8 1EhWacUp3xijJwNlesdFGpkWvhVEVpZ0MJlH2B6Jsw/og96OPlivk9t8ubJ+G2eYwvZzAojbkc2X SykcaIugEFL0nL8qhDgAS4xAYVNgWNK2+XyiIMg7okLYSmbIA65nnnPbp5SDoMaDM0+4AFBcyFwL aynQW2dl/RxsU22r8d6SLpAFX/cg1fcZxGcX0eNPpuLCYoE1RPUDZyYxC/AizG08re3d7cZmS87F tvUur6zVcf7rKdWluWwOgaKZ8TSMH0IkOPxVB038/gGicMygYnl4KPmaBOXASmlCGZqhQ4Ozk+HR 5x6nU0WfEsajrjGe/NUvvhbrX4SmCKSJm4VIXhbW7xd2jtxFa2+jeqlRumQoGHmDywrLLp4R9BTk BFJDtnTk+gB33NBcZWRLVpMmhT3qD62d8zNT6TAxqRktZ9ZBEgToBP0DGhGS1KhtspzZGQA4FEo7 kKk7ihOz9dymCwCojR0lYpYH4UHZtp8/+4n99MlTG00m9rvn39vdbCrEchTF//gqxmt1nKh4bRNH vI3rSdnprGnvLcWni9IwUcrgcEsbyVvzZsX3rp8NfYhgz+QZzmF2atdnqfXOCExm1yR6GVACV6uM ZZwLqlG2unYYjWo5OIuW4rgon+r6a3EIyYaK7EqRiNS8VNNeCpeOtdTXAwXO36NifTiNCUYVtKzU 8va5bZUyeabj/XB3R/E+pROHhb0uO+KjCo9lW0kDE8R4gzTtQXRTNuJoEykg9DYVaLe1VSmWcqEP RpDZzXEVVOM9SR1pLzR6b6AyczQf6T1UOObsQXg7el4c/qjmQ1moHqvzDglQ4rpSxpZmq2SlIQCY MAYRg2uZYVmK63Pu01DWPNpdW5mkBlOIsJYE5AwDB+Sb1xuz9zeVvbzdmfXO7erysbXPLz8iHh/i T7z+XNODYP7DOKhjr6nZQA/rsfELhx6qVDDuv2bM3I4sjuOKjuVlpDudvteP99cxOD30dSfuNfdl mtpfff2V/V//7v9uvHikXsOFKCXu1Wtzkb2LShlGsovYmE8HfDRJ2Yd/Gyhplh9I3Wj7yDkMaRnt diAHZHmcnd0CCkAm6EMrLWy6ntmsWvrkbjHR6X3eHdhoOdFRDqVnvlzYbTYS6A6Y9bZu2cu7if3L C7BAwWEmNesSLEPAGrZy+z//7t/qd//xX38jwULkcQ6BKljFH4NSvA46f0OQCtDtZtkcpR0Pmj4x FjUWgK756Q05/UezTmz8NUusq1E0L6ECQ2O+Xj+1b67PLG3hoegEawF61eB2HJBmqoFoy6aGeyaA bggWouKGU1LlTcsXGMJxt9XC9qlrLYFOZ1qKf2CaBtljEYUddtbRxC9K7nBr/R5kRM+Aqncyrk/m 5CUY7Okdk+QRkDJ1sVlq+lfX9GqCIw4DHDSY2PzoROW5ffHomd2OpzarZr6hQjHAUMY3P45LoObd uDVDDVQb3s0+8CSEJ0rWxHrebXsycfUJItfDDTdgZHh5yTVUWmU9cVCxj/P+qXwbxU/lPpEl+s9S +nF4ckhfDC5VCfC6/HtYdNQvW4AhEw8XjKPZarfUwEQE/W7Xrq4eW/fqWhy/5pK5J4wXgjALMbom fzJQnOirH57jkEuFYKWM17FvHyPTj038g8RMUIiIksexF9t8r6ehp7HLwpn9caYGv+Xe47LX1ok1 a8AZ4gcT6i9KgQQ3GXSkeGnIxx0Y3ZzzwmE5NGKLdZKMFrw2F2JYezrwo/Q1L1WQdZFZ6mbpvK4U E9aOXfQu7WY2thezd+L7gWqWwiJSKGRZuP+uV9bel9YvO2pK/+7lyBYrt9LSxQrs/L74Wm4Autlu 7PXNO3s54zSVVMFx/n4i33KIGrE0OwSq0D2OPuyhhj9kYbEEbTYom38+uIiamJj4/EcsVuwPzHQx d/b0rLazy73KDPV/At2JACU5mCA/KxSzmPzBDUhBy7vgTjCPagU7ATAZctBfXC83ypyFBUKuR+Tw reU1WUUoAelzYfSQD3UKb3ZTBS826G5Zi2+YtJCMSWRbrqCTFypThcMKq1cEaLXo0P+CZAzWLrfu 0IHF6b5lXRyXpYjqCPPAe1bm401flBewwcrVX6K8k2yv4C6JJmiO3vdrTIDKEzwpAxGZPmoLvTd3 x2G9ZFZaTpBQi8JfJw0KEeDAkrKQoq7ev265m6g6d3an7A4FikSUoMxGoxufCIbDh9dWdgjkYeuK o5S/63ptux1GsqWdn11beXZhGRo9zZ7SSSUQe5GRjHwvGISmoICaAfNUn0z1fOV60Dks3QgAfaD0 PJy/YXp4bMofy7/D8o+2Xg+8ryZAVDEmqj+EYRwPz7Aau+fvfvk39o+/+e3HmyhuZn62U1jZL+zd am7Dum2j1UIp7aNu122zRH/zCAphmRQXYT8+R7do63RH1E+JAIslS6yTlzbbrmxSzbXYENdjYZEB uMaAn6wEU74muyKgDXLZQaSN+4uaY8uev7+TlDA8qS69E6g5y0WQYwWtzQKq7Q+vn9uvvvq5fRiP 7QOuKdFILy4ApSexSQM40KkTokrQKA3moEjZeKMxNEjxbFvBRQwQA55HmreBF6jV2JjsHbALzeZ7 nPQFEJMDh/QfqhaAd7kIF0Oz4dXWkhSGvpd8gBZx3ybDjbb2aqo3LaXAbQGoxVJN5ZfXcApotPgk fVwHFDtfcGwR2RwTxAxNqD3u1UPfvIL4Oo+NJ5BUvmzAEtm2q7lFSSkJFQxRC5c6JAMhW6KlF+Rd OIyiagP9ItYPmQqczy7KFZkbieK0NFlCSt7aZHIrzbPYn0PdQtA4NMj3U7nVJFnP6vXcuv3HcmDh QPWeVmrXV491yKSzvU03XGOXD4ZjNEf/f7eTMSoKBPTPyHp0WOMRSFDcmK1q1FxrK8n0xfKA9+hq ofuWE+uZmoMJxHUaG/mK6gG7sO3SunknyLbs5V+AtPJ2m9l43rHF9tz619cBuhBr8EagaUzwTnFV p8GMwO9KJR6UosTOvaZ9XIpRleGe5lWk5hwNTmPJ6c91zNoeLO0awe7e+2pwbmPgu9cjOwSs8HPY eD99dGX//r/9uvFM4X9isyxP7aJf2KP9xKpqY6vU7KzsCSulLIYVrsmj2w3taCwiSBZONZjqXKW8 BojnNBK+Dg7FX6m2+XZti82tFQVCc+heu0Cf464AFrpMLsknwFIap/3eIzvv/kw62189emw//7Ij HBFcwp//4hf2X/7xH3SqTJZz+/Xz39t0t7T385F9tVnZ08sr+/D9nfeZYiApCjvrlNZtZ7I6klEC BFz6KEyHpM/kp5jSbmlvYSrb877DmhsqH2e7Xe5sstrbukpsNjWbz5kmedl2uHWR2tOAM9zP+Y99 rIWcT/Z21UvsyTVCAbnY+CrNJSVNg7nwjCFoiEXpFu976ARSgKpwkQGpXZa22bruFNkU4YcMQUPR IESIPpnbvpO5um2Z6KjKpMiqtwdgjNqf/D3H1dnLLgU2YRdKd4WOJ3jIMBxT5qakKvVaLsqHUxK0 qaLkPfnpL8Nc1g0S2Glmj598ZaPnv9ffCYjSjwr8TPr4GsbWc8URDksmukA0AJcCw5kvptJSI2UE KoChqk8PofL4NWEqrikpeK/AM41egcBuijqX4CQ4ObTUFBQCjAOgqCAhqKwy5Ru0NeypVgtbYFjL gGO9tU3mKidkstMZenJtm1UdK/qX1ur0vOR6IKOK/cyPHoFKcwgQEdvWqAQ8OfJh2CFDisnJyXPe b7Z7YGoWBH9OO/2h8rT5mUSXavbAGj8PxuBALP3Jk0f28u07f3VJRsYRvo/prVvY8LJr31wl9oUt bJIkdt7pCggHCZkTJJo3iHKDLVaYxtFwd+ePjVJn8CSqcWV17s1XN3pY6+s8D4/pauFSHjploU54 idQvCmvl6POgM4Qa49aq1Vv1OgDLjOcOJxDhWXryW5UiY8i8CKmFkvc3z/9g/8ev/t6ev/zeJtup DFf7g46dob/dYwHGrMP11FEc1QXMWtLqxueOSRvAQNJ5tNNBRBOXAS52ysQu+pTJZouqtjej1N68 S208iX3yINwksGdo0NOnClPFiIvj0W0h7kbpA4duZwN06TKUXL3HwOYh60BtAdAsWDDRVinxAneT a4V3oizQQ8krAUa5XLsxhxYvKQ9Unc3W2p1CIn/0gZTt1C66COYp9i5cEnfhgTEiYNTiC72puB0E 0AqNFspUBSfvqzG9U8Gr5rY3/sm2unlbmTlUG+SBmIhCocJswl2La7uZ3kotgaxJskEMdlSvevaj eVE20CBHGQxgZmXLrifQLjvWamW2no7kGUiWvz1kpaSZUjXXQQUMhPUZkd58Bv5dZh277H1lRdK1 +Xoiviel7WI+VzmdBsI+g4S72QsFrUcXT+z96J3aE/TkhHAnXNV9ezHBQapnZXdo7eGZl7gPNc8b ml7OpT+We3qPsTSMQSgOhmKwiJO/8I9DaRYCUjNrO+hhhSZ9LBcPPamT6eFJVPpkELuXTT0Q2I5I 92D1w7v45ifP7Ne/+6NZp1SGYb1uMI9DHT+x62FuT/t7+1mxtDZSrSXGqX7a0Dyfy5bLgXZkQe6n llq77GqBbpYr2XbJ6LEmG/AejYbxWmhoSPuJSQDgVMLMQfqJ0hp3sGkX+2uE86uV9LXPeld20Xts 8+nIvn/9g333emxTaajX0gk6HAFSReDfqh+1syDpstH+/pd/Y29ufmeXZx0b9EoRuuUEhMlG0Kcm MIFSFzlXcXMvPe+CE3mPjhdlQm5riNmQttduvOGTMIJ3Ys8GtXW4Zk8e2cXgkb14806nd9Gq7Www sNV2ISVKpyBBgkVlYmsfJrcisQ4HvG8fV5HlqM8UAjp9F0rW3a5yo8so04IiZeIicxCfQyTQ70vC B3FEybq4aYG4fzxf1pJ92yb1+xBR8nR0ijJVEx7VB/WIJBPDOIC3tgh/9vQ+HRvrQV+SvxxQwVCW 8vRYjjgJWgh/4aScMsMEGdDkBjILLg2BqqNNKV7iTtgpsl3JEEnGyLmr9Y730hVOiQC13fUC/cpf n+m1zEl3exutORx9LCSZmeC96Lixnq6xHPlkU88aBGzr64P3iBuUu8rX9mj41Dqdnkrfd/u31uv3 bTgc2O3draad6/HaMlGJCrsYXopbiIs0e4OgPV+mVrfO7Pz6qeg1iFTyuNeobkyTjzDKIxMhItM/ yq4PMeuYyWibxGpKSYSe9cHSzP/dmEFFRdrw+odmvX38+FQG9qnBQPPzOqxB9I/ELru4tdYi/dpw 4Pqp3Y5dndHIrq1TV3aeVXaVbexxu23bXaXJCJugrklpseraqaRwsbfgpKJsy1N+AJ9SC9i7356q n9Cv0E3HhUQIaydES24kuCpr+TBhoq/iTlHqI3Tytg3b2LSXNmj1rN26suGgsNdjRPcWdjOqbBK6 wj1tBNfy6pW5XQ5a9ggvwf2t/e0vfmk7eyVcD9fjI3loqHnB0xBVCnY1nxUnGsXBvTeJ2STahJLN TZRZoYvNpiXLpFx4lqd2efnYnj75hX3zk8f6zNBLBoOh1EDpK6mdBgG4LGw0ubX/9v1/VmZYFJQE DhPR3tAkisPBS2WyJ6zbCWJbpnPBnFKn97q25V1t+NjSDE9R8qS8RiKlnVjRcyqIO69wMOT26Gxo t9XUlmRfIiijBe6fo7Mv7G4+td0GVgISKD7mF+VHZa0rWjpYNdi6BSxeHIa4444/7w4XFwUAT8A4 8Cg1+aQccHK10UTZ8Vro56vsyhK7vLi2yXwiSpQCKqJ5cCBqsqojFokJnLcDY9B3X0yyn2o50uv5 bvP3JO01IflDEA0ZKBkrbuFoXkUV2suzp9bvDOzFh+/s7QIAKx5+PF9q+zt3DOfAKIu27feVbecr 6+66dn5xrUoAL0vCJf4HSBkLwd5xJkIzSNih+gt9q0bEilmOx3//hXvZzwEnFRtOHiQOSfADdeVD /bFD2fhA0uR6WOF3mxPzz0Aa7gWrCLU6ybh45ApMaWY//eILe/PhRkanWlVA2XGd7W3tb4Y7uyqY 0OzEHgfoOSG7SfY2mW8c5MbyCBMbp3P5AmFCiL41Y1pNdCQA5+N1WkZsNNFCHKbofQERTr2uxnBU gm+YQ2SpTSsyIgB/QCAgPOO8PLLbMXZJLSWHP3lcWn9IZpLZaNIROpieh3wGNY42+/IcSywMNV2z qGxB8Qh8RVXDvmCZhMkELGX5B+wTKGhpefmNowEs+eDgRkKwJaChs+10GH0qneqUE4POmZrif/z2 f3hvNsNZqLJXYyZxrjceVTHZELPlzOp8rewDyizdBjY5ZbeyopBJiYcJ9IB+CtzEOg4mnA836LRs 29nJAXizrG1167goFEHzi8TSPuTv2lIukPT1EhFyCWL0k9LSgcFRYI8sjbKTkftysVSmE4cU6lkF ZrT2bMAsuca6g4oF8OT6bhKpl8oxWcqiie4vBxvXUpPMUH5w3TnACMyuTMoyzYXDWi5dqpshTLtd 6nPMN6FnE6dxwBbWrEAfPMgxCDmelb9/7ZWAgyIoirgNWDQg5vkl1qeUIA7cJP4LQNxka7P1SHZq 3AD1cWXc4fJIMipZVX5PapRId7aGaM6QyfVlpCKx2WWWsyYDPuvQh0qO2DZNTSMj5N7E8DiSFswo BoMwvYvAz3tyMIFloGdvUHhOW1nNxvuBhtPMwhrR5fBO/gyg6EPTzvs/4K+WYzc977Tt0fWV/fa7 7/wVCFZlYcNOZr+8yOxv+mBdMEbFOmttNwt4YcfxqAjN4Y15vexTI9JkceXUo/CRpuALmWumA42A 7zUo0fWu7b3deHkhnXHE9LEXyqyX0DNo61RnnI6lBVwvwa4Szl8I0mhBBaEvyd9uJzU7AAAgAElE QVTsbdBNrdtu2RnwBuocOeyAzsjsolNqM2PCwA3vdQa2T0plSMLUhKFomZYKtsvdKgwN3UkH/a+I 4vZ+SxAiJLo60kjGq9qgak0xOXOvxsvLp9brX9v/+5v/aBVAxhy9egRc+L9E/bbouFJPydCAJfjw Ik79fA5yJKF6PxA5EjBXGBOQZ9ANSZw0izBcVtust7RhCzWb3NZTJxUDdmz3kWTxfiafA6eial/Z rQjtWHVguuEEa3B1ewCPyprcPTvrdTURU8AI78mrLj/tI6hTLQRQ9+xn1DXHfr2Ky6AcEIMC9x88 k/qZDGi4f34gyKsyOgLJs7m2Yf/CPty89wMC9D6DWUwpuHZBnXYbnYBqMGXdA+WFoQ33xp10XFGD awy4IwJLNf+V5ZyriaosZQ2j7R4mty/vvrPO1A8pPjHlKQBWWX6F8jUCiTVYgC+IN2VvYK35yMr9 2rpW2nzRtW06sE6n++DOrQ/9Jc+UYrCIATEWUqdYpo97UY0JXEOH6hhowp7W6z2USp38M073Dtit P//RfF/Hpv/HQSsvaApfX1i1WbskcKctYOjgqmt/dZna/3KR2zCoM9KDWGz2NigKZVpyGgmyH2xI 9UJE9fAtK1WHeWpFh1LR+xebNZlWKrmNmhN1l1qpqdHGhr1SQmjUNhg/0EfqlS0x49HoWiwBkHqD 2TlXBD+CmXusgeOMtAzX+YGkvVRw08kt52P3/RuvZtZtdZS1DYpLAfueDdHiJvNb6XTXglNtGsi4 WSDDbnDgYQIaMFuanPm0SWUQcUq1j5/CZJEOOagl0Pb+7qXdjMGUVcoEhIBSGe0jZ34G0qwDDxMr JGlDle7lKiWIJ7ANdHQAQQp5Hk6/XovytS3N+kG70OaYoQ6AXhPaYDluwfS+fAMqCCSuJaYAv68V uATXSHIbYrtuqY2Tmc23Sz0fZXxZJNZpl5ZfJTadEeAS16aKm11Zn18ruapTXtMjs8LG1cY6l4nl BV6BbqsufB2/t0us34KWhavQyknXBDMBP8MwKCih4rDs4FdMVmkjbFzUz4DcnOmAUaGr3wM8GlH9 HiiZFoqkT9Al09I5VNu6nqsvldqlMjmpmaYm/Xy34wt9NIKhLS1JUNVlb+By7oEFFDytEOmxc4To UCHbRyGVyfHMLjp9QR5u50sbLwpr9S7UuzoCMkNpHSbT3qQLrx9pboeM6fjzUT7moUB1CFa6jsFv 8rTPFGz39NxhPve5h4bdDYL0pzBX4cXvwTNOAan3qT2e+eXX/cS6+54N8syedjv2eDiwTh8d9MS6 i6XtsLHqrq1ot+RKW6zd6Qb2ONLDPCVjdN7WFLkM7KhIT2hY72t7cvFLm0x/tGePf+lN0c1GpyGr YLGYW7UZ2+3iraUtd1egNJMUMhQO4YgIECvfYFAZKAnod2Q0xDeykn+c5lownGZyw5HDNP2CtS90 oa49fyGmMD6uMu/VdFuF9QgEaWqPL76xlzd/8BgkOpHbnnkQRBqEPhUuwTD04dfRnCeLcR17PrdI rIy9U7fxJkjT45FzzW5ry9XW8jaKqQhUea+OUplTGy/rtRaHY3GYOjJdci2zo8tvzK4kE6MMxNVB CdgI4QBx4Fqjp+++iaDSCzsr21Z1KtuvCLg0iQuVfWet0jKEFlXOElQlhC5CtehW+0SYtn7R1dCk RJccd6E92vBbHS40+yln8av0DDARZMIVLANGR6TjvVgMJdcSNdEvE8vQL6dBHpy83bzB7Lp/JhOM 2/lE73MflT2CjyWBW5s2S+z56z/qtciSyBSrZWX1duHdjWpsdQsBO3dcIuOpgBJE2W0GJEGsT1iw ELxdCx5Ex5muo7OtHOiqEkyZXMhAWKfkZ+i5E1TVWvMgon4m92pFJhb4ld5AVoBEYO/nX35t37+7 ldLtat+3/pDXDAdJLAfro0vyoXd1z2HGA0szRJzimO5Hl/tATQcLhEwwDqkewCt8tnSLP/OAEmnz 3wfpmJOfiRPNZqC+13T/5jy3Mj3Dy9X+/puv7Gx4ZvPFzNarpfXOn1iKBdX2pdUgevc7u8RNh5G2 lBI5yZyMyvdQ4OjIQZleTaax/6B7LpTwoHtpyxXBYyUXGx6T0VKGEQJ0ykJc8wqdbIv12i5bbSMU Enzwc2P0u0LuV6mhZ3T9LA0QBU7jluvHy5VnY9WK56dRH07TAIpBullOykyX6o3NFt/a+9GNffnl XwunRXmA0wn+fdHkVchuyTwzDkevfuMGn/DOgpIq/STxyBPTVEsGsvuNSkzECZ37CYdsoRN3ywWr aSwDeXBPOX4GaIK8NlGUQA4a0GKW2wQHTAEsvcdGE7wTSOAEpWzvZeo+z30AEsTu2pingg1aL8ME iB7UXjggaf0J3+YblT+5h/xeUSQKsEwb83Rjk9XYVvu1jbF129ei9pD9qPyvHNICBAHkMPxEJKlX 2F4F6zjuwaDftav+uU2XczX5yw6WVbWsrSSNHSRmuq3cVsu1zapKUtxIkjmjwoW15X4sxkUqDurf /erf2n/+h/9g3TZllF8zByZHXz8HocoVmYko0jXOn5F+O1Pj7fTGG/NUDxhLbDGQObNW0QmlKqUc paa6sMJsZWCvFKjZB4SglnXStvq8kjTOU7UJuklh2QDjFjfU1XRSzlCJTauZ/cuL39vb0d4+zM/s /MkzSp9jI/00sCTHflZsBxyGdPvmpDAEsRPQ5wHnF4NCKC/pDzaDojK32PAPAehQNj7E9zsJaM1m /UOPU9jCqYaWqpUT44r8EgAbppnbueU17rYfrFWvrd/LbbX/YJYU1m7jsrySvTtATlDo9EVoKvMJ cM1BvC8+OX2YVtq2oriyxfyVlcXO/vm7f1ADHtjCD7f5IUihklgrI3NJExyZGaELjBgy1XVoMA5K cFG1LeFW0bco0HBvKbXm5BsBiZCC6VqaQ0LO8B739MO8P0STnvJvWPaVlc3gqu12NigubFnN1Cfr lX3r5RfWyTY2Wdxar32uQDRdvcV0yVY7jM8Xgg6Q4Tk+jIUI9ytkmJSRohw5f5Ler9MgaltVC/eP I5h0w4hc2pNb4aEwwPRGeVTdZBoLIwDzjcx6hdOf3KjY+4TpdmtdNNFbmZU1Ze8Ku1SbLieigyw3 C1FK+BoHDbu4rsCRLa3uu8SNeoy7je1WYK3Qcycw1Ja1altOKVzXlrYdykG5QyZEIEWPjH1CGUZA QEgPDCkBqCxozBMc5Fdj572eAgVgUhRNBRTNcyt0vUIjl+pRgoKUZ7Vtqq0co62JMYplEVkSHLzF VIEDqWUONuGwgt48LaeM9sMeh2tvKYBYp/QkQo5GDjVwDS4/hMiKCiyu8lJtAO6bQ3gCpEWTFd/A rC0OsbxO7aLo2lm7Z+vV3hY07emx1kwT3Z3GlXfBbflgicwRCM98sbe3464NHn1pRa+njF4msw8F BGts+tCOF6b4BKmugN4IQPcDhffvYrCKpaPL8cQp6sNB5iGYw+HvjfIuPu9pcDoNbPHvh/fZGA40 p4U8V94rh1IsmI1/tLvxnXWgyfTcHbmjH2bzu2sNv7ZerwVhYlSP9x/crrtqrmY8G0wvqknKzq4v Lmxqt7ap76zs5qLs4J7rwyNKDhrg3hCVxmRSW5mlMpHAX81PLqBTNIGZIRLU0HunFOF3C1tyY+XM TAZIFgSWi4VZq59Dgx84BT0YghnNZ4Sa4w2TAG4O1WNsefql/eT631gnTez8/JnlWLnPxsoIV6vK 2p3/VeXm+9u39uPbf7LJ+m1QSkBDey5vxAjEZCOvKakONENvkKqXEvparA0Y++hVMYUbFn0FWpGB KXs15eNPxgpcG/SpUltxeodShiBPI5+MhJ55hRNzQOyLn4fvxW4ho1Uavb44dtYrzuxvv/nf7fW7 1xpazGYz6/W6djd7pwzj0fCZ3dx9sMs+2XBtK9vZ4Kxj3777J8vLRDZtuxpGArxOn0wCbpGBAhZg 6icl1lO56SYl9K8kiBqMFuhVSmeL5rj6XIFBoNLRVRBYLC49FHSpQkCTFNHW+Y1n/Y7djd9Yt4v1 NFM45LsXur5cE4k77AC1dl2nnNJCDXazR1dP7OLs0l6/f2HJGp02BygzBKmDW46mm4EBgSaYJHoU IBwX6GwHhTRLOqn12j0r8srxXPyeWgUMajCldRFLTg/xJbWvMpvOMtul52rA75kYBs2z0ywkiaj2 Bqf0o1AQpn0PZUFNcGa0n3GyewjAJwHuISDoZyd6jfdzLyAd3tdD7/UYbCM5PySP9wOi9Cnr0p6/ /lfL9pxQ3rwVHSJ14wGdeDS1LbUpm4kol2Y2Wq3s9WymjMhlQXAicSsiQJ5EtfnsRzU1EUKL6gL4 3cmNV8Ei0+9oZVGCkBls2cx48rW0qFjAvvR9skjTl80ugKZIvgFUqk3hUytYsMLXSKWU58ul+kmA lL68Rt/ABFyPKpa2rz/81i76X9vV5c/s5uatXFz4/G/efmvz1cKuHl1KiZX0v8K8QeBGT1tJDia7 lcqkeus0jjhqkQhekhkoG4w3VTiQOWJNtkWra2et1t66La4zPTyCLc1/P11477I+20MLwjGba5Mr ILeLXNeK11xul7q+i41zHqUaQMkQjGhznJ+5x6JDre0Pz39nPYYswb8ITh9ZzWx9a5sbeIalymmw Q5P1yPLNla5r5Pqx3CE4o0eOZhmSP7NlpRLMT1j/86ArGMTr+Pz1NrF+m6zDKVoYOsjRJgQCHbLS f3dLLk0DD2WDE80JhCqr2l37ydOf2vfPf2+LVaUsClS7dFUzR9+Xxbl6nFIaCjI29O1wx3n97qVg DdxLssKLbs/ezUe2C8h7sjNtqqAowfsnO494J6bIyZ6MOLfFamWjfCLnoN6+8HI36tELVuFZnPLV HTjCwtp516p1ZkX/QtcRe/t7eKdPPBJN3j/OUk6D0+lznWZFza99lAmFDOf0d0+fm8chmzopHaME dniCe6VufO5DSRiJ2Q88NDEu88L225m12Ug1Bqg7nS40RJlK0ZegRzFbLUUupQkLTUITD6kiAhnw 9FZvgwWGfveuslnli6uCVxUajbF8ZvpEgxNHFDY5rwEam5E8wMh+qx2ykaMwApUiUxg2K3frKIfC tAt0vJ/GrZRmuOtv0ctxGRFurrpOWtA07rWA9bqJLckaWXjziT27Sqzby20yeSnnlKpe2Xw/s5uX fzw0XAUwDAhtKSGoDAwobfBleUvlHdQhdtU23DgCLng2IB10YdDn5me4ghqPB0E3nHjzAGcQNmxf 6LTv5oW+VpGJELDoE+Y4/+LGQq+H6Zo6gXp/mlQFDS+waG48A19zZuPtxFrLTFkDPbXnI+AdGINk ttwjyVvbzZIMjNJyZW/mL2w46KivF5uznr27ygaHBe9HSh7RsNCZf6GUIlMisdq5m0Dmtus0rmmk UwYp35AUC4FyZ91WW8/n1CH/HFFO2nXh/bAYT0fSSdsy+Wz5/VWBsu96fy93A14n1rpqyEC2bgO7 m9y54JHEJHe22qx1SHBPNOzYBNiAKgiHtPBZ1fvbOs1HEjuCOuxtWi00ZW6r1K9tulo6CBj/QSAz MAg6HQ2mrocXtlqBagfz6IyQZoc7QgUiRIFHnKapjPsI4RweJ9CAh/iHMTv7VIl3UEpoBJf7L/Fx UD3FXd3Lxo6M6I+oQZ96jdP3nKshjJQGU6pNJZ9BR00HPI6iPWmss8plJrDfScaFRXi3WLgWd0QB cyaBVleQcTdcIBOUfGCrCJBsetfJdr/CovZSDTAgWV2v8BNMaHJt+jjSlbqVIhitXsi5APQ4qRQA 68xmFUGX1B4fPRZg29IiUx8EQTWaGps1SgtrZSx7sedday9L23bWv7Tvb15bP18qM1xuVjZb0STH +iow1JFECRgh9WAIoOoByAXO+y+6DkEVVfPvAF0IKG4hugPAkgEDf5/KVYfsCUrM0b6dB1ZdZ62e DcuWVYi/wPPjc+ua0DdLNJBAf73XMRtBQhQ4k76ec/I0y90FICeyydRLGQRo8hua5o5ViiUHGQ+H hQwUdmtx4+hRgW8SHYOAr9LK+x+8U+ABUU1DelGhj0K2yqBmucEKKxW8BXU7OeJsXcCRw7HIcYdp C/fGUEKDDA4iZUc+KeV9qknM17Z7a2eZysrJYiHtdK4pkBMmjhCwEzvzqb1wXMjFuCQ3DyzgaG+Q BXH/KDWZLKdlyw1iOaB2IcvjmlD+qdflU2zOJ3TbBK8IoGOm11xHerz6kjiaZISZ9XFRxnil3bH1 cqkJ6xQ6UQbvsDgARGM/yO9/oMokftrrkAhii0fA1HHzx6/cCySNzOhTzfJ7mK2T3tM9eEXzuZsl 6ecAoifTzNOg1szKml+PrxX/not9vmUa5iRlN8705jSLr43KJ2iWNVmSI5Gd1weWpGUV5UnQt8KK m4XRwe9Nekob3VBs4/eblRYypVwFn1AMCAeXLvbAFSjfvIG8K3Y2kx0S42fPqFRqUvowIlZKXtiK zG9D/4ib27LVJrHFElUEAmFtObgvdInon9WUTXxW+mgboZ1XFcC+rW3OBvb4/Mou+kO7mcxsXN3a 31x1rJT191qZpRrCQCY0nXJjDPdsDEBGFhCtW7SLpD6wtXyPyQETSR9/Q0YiuIoXHxRnGKARqNEp p2bF5rzbJtAHc8m99/XgTS63qV2eQYD1qdyy2lqni8FHZEmAAKeHt7Z2kdoN0iuaXnmodw19L0OV fYL6Lzwr1R0MsIyI9ucX2PzbFTglynD/rNiyBfEFfUaxCA6sBXfb2cERlVBgABajtQ93kfdXuRpo kpOpOPKcDd1ulXbW7duw3bW7eW1jDEorqEr07tCzAtLibs0iOdP72u7tQmj+joIuwchdxn0w4/Ai X7dkwceN6CYZkJ75MB/GHzzLDdlzznoJcj0MPWR8EgTxnA7l10KuO8oQAddS0vta5fek27Zz6aTB YKDD7+nlUxvNJ/b+5p33kDhw16SbbgUvWMLh+sd+U9RCTwJcbncv0zrNcCJ4s1l6fSrzOQ1qhz8/ B+A8CUT3aDSNIHNEvzcCVXjc+5sO8JNm/unPR4lkjVgFUwCM6Okyi4GUiV5WyalD8AqIdjYwf2di uEk3dt5pa+Hcrla23G2th1pAoFLQg6H8OG+f2ev1ypZrd5gj4NR7Tm1vt1MWQFVBfwgjI4xAXZTf hQEd0Z3asm7beAMIk/4GEy5K19SNUWVK6QRldg8bM2FYQKN0ufbTUMRdN4tIdpmAo9eX1/bo8kpj 9h/fvbHb1cTOhuC6yJo2ygjYgLEZyCIX0FnyKi4jjB6TFhBlpj43QYMs0kzhXtcPVD0kYgTZ/FqL xgSWyVeu8FvAAToFcsQod2bWY1CQpDZKE3s/Wdpg4NPC5aq2yayyIeYWgRQ+aKOdBKMWtD7XwH3r aqkJhPsHIRscGbr53CdN0qD4YIHuNmVSJGD7ZqhdrG25qKyDYgOlGvclLFA3/nR0OgDIXQuIB2Yf YJXY6Kn128eswRvBPnons6eMInDxJ8MD8UjFJHB/PjY6GX7LSmt1ztRH3GZkvD75xPILo9TRdGyP W207H17azejGckDHOYcGdK1rR9pDM8uwtOf9kTFx6KnHYE+unynIb6qlrTiYFZQ3CmAMAgRN0MFO hu59XoI7vx/lhYCg8H77bcDIuY1WM012eVwMzu3p0y/szc0bWy8XtlnilrRRtbLGnh6c2r5Sr1HG zA8FilBl1NFHMASKT3W4mo3qQ+l2svmPIpUP4KQ+gec6fL9ZYn4C6/XZbO4TPbfTz3NKCcrLVmqZ /OC838NDkzSpfaII6Q7NbNxptbQ56opM0dr90B8xm2CjtKtt2CqkqMAGJ/2fV64aQJhQMBFp1Jv6 6y1NZTdg5bRn05LRlUnLRryGJH5h0mfKxmaW28tRbTOaqkwPIYpCIdLCJYD5YjpeDd8Y0jKnhJOL qObbmhw+fXxtj6+ubDyf2+9f/mjjamG7bGeDntlFiQHBQsBL1E9J8UWIDpwtNrksojLvI3gy4r2V qJJIT0ba8+px4GoTFATIgjZw5DQCVLmT55QpQlZaXqJ+yQAilQJrcpimJjZZVDZe7a1fFpqqw4FU Y14cu9raRWJ3q71wZoJB+JjKx8OerAU8oEMSBLEA3OmWNXo+yp8iJ4C4h6QjuL0n5gvV+YvOY5NX d5ikcZCsbL8hSDgg8himXPpYQnbhvTAskGwyhwA8TTYigXw1s9kKo12zs95ALYRO8dh+8vSXMggB wLxcuRhjVVX6+29e/yeVdmXRs6I1l8ksn/FudGOX59c2W040nbu+fmo/vv5BEAOmg+9v32nSfH3x SAMDAtXr96/V67q6fGYfbt8p0Lc7XVssZtZnP+y2Et3jOYCEsEYxXyVrx7+SgYgkqQNYdDDoi+hO MBy02vZ+8kHViuvme5+u3Uqsk2H4OxXWb79ZC4eF8KQ05k5LvCQCR48gz09NA0OE+gimEOk9Ps19 4HdOAtGB0PwZuMPpIzbP7wXPj3+zQX1sgEkbmdahTJWrUEIfBxBgMDPFWVgTn72wVWCiMGUQO14K jWY3y8rW4LWyxNolZqqZLLLoI3A6jwH7bXc2Xa/dYWW5sJUCkLtBqw8USLA0wOlbgR1aVGgskcX4 BXbsEZlBam+3qY2mle03taVFYpvZ0mroEXH0qVH+/Qt4TKWd84f21kW/bz/7yZcKxN+/emnvJmO7 265sMEzscdus19pYmaa2pK+yAdG/1qJUiUt2FdxmkIcWeZbSEK9EZbaBqoNDC6f5aqPrQk/GDzIW JxglzwrVMwpONwQs79EsbbncBklfgJSp9fK2lW1eZ2+TJZkUQoh++2cren5wPCnzaMqnNpdUD+42 Fnhv9Fl8OCCn7W0qLSm4f2Qw6ilx/ciKKL1bBHXXvsqzjUFp6xSu/ClPwxSWgU8KCSxC+xcocS41 kCHAcz4Q7AjO9C7Vx1Hzm2mpCzI6dzAqC4SRtqcRmqoOy66tq9rej29tWf0moOB5/1vJ2tg+s+H5 wPW/lpVNtjfqg60BPu/WCnBM/wiQvPfpS1ezJbvZvnXWxIs3z208+uDSzVjHoV2/g3qzOKihYn4i u3exAajeSnty/YXdTW7V931y+aVMXQf9M0Fg5tOJ/fSLn9lkPlY2fTf+ID4szjzVemvLNRAgByCz 9/jUV4Od3b59Y4vxjaUYdOR96z16ZK2uK1+45d3e17U04RruNnGq9pmMq0l7OWQyB/iAI+Q/hb1q RI5Pf/8Qc46lYLMpf5o96ZY3vRIfknNufqZYEo7nNzJmTFrtYEpAv8ZVCaClkFFx4s3WG+9NkE5r hL+w635fTXOaxPONU2PEj1IDpmOtcmi9zlBRfACfqqoOnLySVFv9i5WlW4T2kbrdSRFABgqIxFlm y2VtdQHa3UtVyLr7ZWW7OaqRaE35uPvgWBM08JoNa0qfs17Pfv7VV9brdOz5m1f27u7OwZsw+3u5 fXGxt3K78IazbMjow5C6Raq6uywoKyAEQn7WvN6deXeUHCrPcvWRCIgs/C/LwrpoeK/B1gDBMNvI kIH+UCTjOhcS6gifhSY8PZ9uTbmdS3uMZvvPvxjYh1llvWfIk2zt6ZBJJCUFDDUGAYzvc1tWQT0i +Asy52WwAigW5DgHi4wWGACgJECZR+ANZWzMxOgvShYnPXo+CmoiFDnTYSAZIMNhAtRwpHXduD5k 1KyjBRQZMGbdjg4m4Zg2O90HsG1sJBeopQxjmJAq8C62W7tdTO1vf/a/WVqW9v/807+zDXQavDBp lAPKxIXmNrevvvrSZrOFf2+5Eal9ta8kQqgppIwtzLZrn9pSsgF/kCwPztC6HruDYS4Z493ogwLD hB7mYq4Lst1OtAd4rsXz33mWXWf2/Y9/VMxYLWbqnyGJ9P7ugw06PYFE5+ulTTYzL4+FJePhHFUu 8HxX2aCT2K++LO3VzY11y5398Hpp627PWu2eMuw4RUulyRU2fex7PzDpU1Z10p+6V+KFftkhMDzQ pL/3NW/Y/tmE5gfhEacZ1kkPrfk48CWPT+gZ1ovbd3becWtwHGyn63lI+52gSUZEb4rF5BeG3oKX N5R8+11mY8wrFbg0G7L1JrfxkgY4KN+RJhoxqMjCCMBfK7fzJ5f2+MuvrZ1sbTN+ZfvVRNnKeLM1 AOqrdWLv51tLdwvJ6tJjoeGrMTJNUJ43+Ng53TlCUI/I3/PBwP7q66/t8uzMfnz1yn79r//ifDEJ xWXWKhM7PwMKsJBYXo1r9NrrSXHBDmoDrvIAOp9bX3RI+72v4Dw6p5Wo/1MnVq1qu+xjN7a1ubST HMRYpIWmcnKpppFsTl3JCp6Phrg3yZHSJfcko2mdZVbuExu0t/Z24s19spazdste3K2FjO/mqL6u gj3Xzrpt/OwccQwCm4kupQg64pst44rUyhIwL0j2li0YmGgokqnPJqUTLRw2MARnuJFuCkEwooSL fbEFQEdh0tyUV3y+BHiuZ5Fw+2AUTDEBXe9t2O3afMV7WUmexpvUjrAFmEwDivs7WU7tdz/+VhAA ArjTcTwLU7NeEj6pvXj9Y0Dp76xe19a9IOOChO1brEVpFQR0BRgFzyPoSMu11UKjXRNcCDawDDDa CNpYwDC4r9wf3qvAwS4/4huLvQKWLIHOA/6uZWcdMuuugiPy33w8KpbxgozPlTsiU4GeLZjCMlvb L5727fUIi2sEB2nGsybDMMxiADmRz/5ESfZRlnP6/RAImmXY6c99hOt6KMB8phxtTgZjYI2/04Rq fBS4PvF58vkG2/Suramf00ycPTYcaHJdZDHK/fTmOSgNpHuFhlDF4vWbWGZtm85h62/UpK2WO90E si4ZuITXFxSPEztLbbSo7PXt1AZPru3q7As7Ly+sWoyt293Yfr219r62C5rHnHwrsNaFJW11tW3X K1Siajp3KPKVW2oxDHs9++kXz+zR1ZW9eP3afvOH3zlINUxd1LfJauv2c5Ix0ysAACAASURBVDvL 5sr2CEhbsVP9FCU4aYKmjMM7OVId7WIE4D0zGtbRloqscdPyE7CdezZF7wpcDsEVojVBvUOZkZHN blR6sfHrQCli4ipgbIJJAul/baPFQgyBJXggMt/NRrLPgtOmW3vxfmQXg0JlDZs52q9TqhEwMOMk A3JgrwNvCbYEPTIvZJ7lHaiywMtcIhDljmy1xGfk8EKzKViCBXKv/k7mWKS2WK5kPyVYg+y7dlat g1Y5SHdEA2WN5gJ8Qn+vfZKsQ0eedwTXnfXazke4W761zaLhwqTDL0ovJ5q+wVf99vl33qsDVkAD W8/lXDj6gDwwjdC5ud0pYEHaJ1hxbfhFDgeuD6a9rM8F9C5RaRyLyGsDAOH6OuCztMkKZQ/HAdL7 TdGxClLfo+VU/VKXVKL9kQssixgh+DL5J+62NlmvbVT5YAeFidVuYMXFtSg6ClT1A1y7+mHYwmlA aU4DD8GjGXhOA1kMWg381z1IwgPB6iGeYwxCzfd8L0A1s60Hp4efAI5O0VBf1jJFpbdAg5wb2NrX 6nPMNgjTuhMwYDjqb138IGshfldraKNN216/Gdlqyk3m6XmevS0OTo7xbac2CLrfKRZGd1NbLSq7 KwsbXJ7b1aMvtdjX6cKq7dxWa3h39ErQeNprDA//ao7pwgLLKH9msimygEG3Z1dn52q8jmZT+w// 8F+9bxanq+wONZVBSO/tvOfN6eXKsUC6KPJVcD36tXRcCBSpTBjgqg17bZtC5JbLjGcVwCMkeJg7 tqoY4Oaztfl6K19FyqrWHg4l2RjuK46wF0AxTeTqU4QWGKh94iM69XXJ8IJMhYM8sbxV293aS+he 1rJ+J7EP0429Ge3s8oySI4jVxd4ek0upVqyVvQJIpXdCwG6XLX0mgocWnfYGWQNYJ9yQM5vTn2PI QUkoQCzZBIeUGy66xH5iqyVqG2SgXopsKe+g28iX0E87Ln+n37J9Dl7NwZ2UzgQfZajgpjR5RTxv a3mJiSi67Z5DR96bozCcb0mvcIVkjojEhRYWJS+Hjd90n1QzyHC1kK2XUtJbc5yZu+sIiaUKQocC rRFh7YCqOP+SNcYwSgMJLOPKjg7NZJPIwEXaWqX3pdE0W82n8iyEssXeUfBKWlK56JddG3Y6Nl5u 7MWHW7sb0wDvW9o+t/bFtbV6ffFg/Rz+dOl0+jjFS302Mzp5eK/sZFjyiewtfOPB5/C3EECpp2DS E4T9Yer5medsPnI8zxjfdkX1CFgP3dyNSj9uEmoIZANOteBeJ9LuYXFa2be73dC+e/nW5hMck2O6 GgLVvQvlf5emUbBJ5+Q0NMhXG7ubVTb5MLEEpUVkhecL2wnb5dZSesMhI9FicldNlVcX3b49uriw frcrVYh/+sMfbIF1V0Qo0zvITaVct2vWKzGN2ChYsVCVXQnwSEbi9bLG/cjg5QRfMho/ddZydEaF zlUkVS5EM1GArkVu483UNyMyLxs3jO1kLRG5AWsqzVcB4g1vbUh5f1BIuY0ViH8+Itc+DdkA701m naikUnbhYnTWsukcNPre2u1am0j4L3h9kueBDIw5qBNvyZ4haVPOUeo7WNQxSJGzQL8K0q6ksijV kMXBKTosMkodGeOSrRBsgh6aDFgj7kwuMb7ZtFa4ushqo5UlJVL/3NH1mMxbmRyHUI1AY+EZHQdD sFE7ZAscojoccnv/4R1q75o8rgRPoG0Q9MfoD6oedLK9r0Ivld2wFEqQ04Ik77yvbYyOFs5Ieu97 W+HSDJszogCQgkZVq+iqB0bfi0EDk1rer3is0sqnp7vW9JD+MCVoew+SnoOjI8s5Dsr5lKFExzrn T6w8u7SUwCsruUbG0SzXktB3jGTjRsP6MHB7ILicZjSnoeEhNPzp9z9Veh7+bGRuh9f4RBByUcb7 2V/zJx8Ksfm+1ZdtE9/u5u76RYpLf0cKRaG3IFOEMJboA+REJSEd2OtFYq/e3tqc8ZXC6Z+I5LH5 d0S3+YWCTU+2h/d4jQwyUysHAur79KzAVEkzIHC6sszOz8/t+uLSHXeWK/vj8x9sQqALonbivLEf Won1hrldD+gF1WECyGYNp79OWaRUlE/6yb4FG8a0zmVjRH5dr22FwiauyFLFDJlJMEOgkU4knVVz jdZJmZgg0llbbysRevlM4LTY9BHFT18DdVWmSIj9EV15aQIGp3Oxc2NTfq+UcqtDK0D7U69jQ1ZJ maCwBENVNhqWyUAXGACAqYP+ofRRinN6v96LCYElBE0CiAjk0K5AutNjk0tz4k1zglTa0meBDuWt IkCvPgHWHeb+KMMLhxIZcAt6kYNU5WYcsGuUYk7M9FJWHgCaKvv1k8oOAUfQiDBZ0v3P7eLsyt69 /WAX7YE0thJUKYpUBiCC6gZRRSHjAZ2KskO2mgu5TyBW7ytAVvYwAbaZ5Z3gZqQgfITLeIBwhx+G Ud6LYrK9c+pYmKRynXcJzAO4mj6l1IhmX9tV/8p++uXXdje6syRdWb/zWBCRLb6ElIp5ZuN1bT8u 40YOqPe00SRvmpYeI8pH2+2hIPNReRif5wEz08P3/ozna5akD2Gq7r1eDFYNoOrhs30qdBCw1sjU 7rY23WzkedLLW9ZpFbbYUZIJO6wGIi/AxiG7ypLCbjct++5uYz+8m9B998zqz3ocZtgHMJyCllpE dIwcC6amWcSPsJDD5JIARErebXfsy8eP9Cdo6Ffv39rN7V2YQjoqW7bnPDdTyV5q1+dm/dzt6NmQ jMcjzUPYpKD5vV/7AnRaIJs9aL3TeCeo6xrABQy4q0B4lI0ZH2RTWxvNKeGjwvt2F41QSvt/lCSS k05dE4sAScnCxJ4Bg0QzQq+CLBfwLEBLeiS1ezHoM6DNRTuv36GEcOdnaZbtth7Q9PkwQgJWAGRj c+QoUuZgKoqiRVCHaId/u+ggP5JJf4z3JlR/lOIlFkC5AS8nBQoHlmqDB9UDBSuchpQR0aR3JQ0+ k6ZsIROUyB33OUxKeWscDlCQMMNA9UJXIGTMus9pZm/ev1YrIGMgomXD9Zaqs64pIOeIf/M94cRn weDQ3WqXtl6QPfnEFu0q+oVp6S7VUr8Vd9I9Cr0572uQjApYbJm3bbFd+l6VMwjrI1fmBZui1XY6 FYOITqtr59h2KTD17HJAr7Vvq9XGy1VlViDmd/bjPEwKwv2ze4DNU9hAUBpt5CgRuPkQ0Tn84r0g d4p0j899+nyn8Il7AezPCDzNJv9fEjV45GRQ0lenDBH5s9ZFHW3wFq4lZDcoWgKOrjYg3c2+vans xd1MI3YjI4pHTxynffbRpBEEAjPjtWilFaD6QlPHDVSW1u/2bDjEK7CvoEFAIVA9f/3KxvOpNqhM LwNeROc8WRBmFQOz8z50i8rmK3wEAVwGXz5KPjWRg0WXrLDcjVqvQ8jCFSW8FzY6+DMFFtJ+ysJA axLvDvDjFkWEwDNUtuDASPGgg9+iNJUoRQFACikf5YEzuRKz8aRekLjBx2q9tbLdkvMxgwtkdaZL F+RzWy6Cxdp2TNm2LvhXUcptwWMFAwZN1qKRqmcOvI76UkGeWI3jIJHj3HIvp4VFY6OCpSplIavA p2xFPGcPAo4L9U2i5r/8WhPbg2IPKPFEvSfP6g6bI0z0dC6H16aRT5bCv72/GOzP+FEylYtHNpre qJc43811TwhyvK7aCDoovMSNyBSeyzNb/yd0oDJfq/kfAxY3UqUo1yYt7Sfn39hZ/8qmc2ANBBYG Lju57SAY0MoL23TXVq0qKyS8ZzboD222WNpqM7c2vM1WYsM2A4JL6/cu7Lff/WD//OqdrXaZDS+e WdYGb8WlcPMRBtU1HMX4xj/Xh9o3AsghcWoErk8FkBMvwY/6TZ/rX/05tJ17L/UxOv4eGPZPvV54 5IN+Ydmu0oLjR5kSrvcjqSYAeDxrd0S9iX2R0XJvP76r7GayDiJmMRqHF/Je7GcClwPl/Pf8hyPV w7MnnG/adtkfqB/VhdUeTlsC1PubG6uWWIVvhUTHJtynVl6u+uf1wNfqJHZ1zalGBriWAmZsKsJ/ Y9vRNCajIGVHT4usiODn+K4gC0KVhzEEJSAl1nIjku1OGQeloZeD9FoEBxE5NvLZfKKm6oavQfLN Q9Odza9q2EGYHTJZAI6yQke105vd1YopXiooiFpnoWdGb4zeybAslSGC9kYyR84ykjGBE+pBgAAh MwQgGciq7CmH0R9312JvxPv9oyWghFfkX96n6/GD3AdTpzI4yB47cNdLSaZoBKFomOFBkmEGgQk1 DRrx/nOxJbBnM1Po1TK6D7rtQRxQWC1I54H+Eko7FBWk4x4MTYENgBZfUuJT/gbdLNe5dxeeyO8j 6DH167QwIaEnByjY/Qo8o3cXI4YrGp44bdk6ec+yLoDg1Far9VGiel/bfD63s8GV7Yu9Z3qU7Tne npl6V9vdSOquAEevr7+wR1/+zP79H/7FfpxNbDrf29mua8NHA4cxaNf6/xzcnPUZXCOtua+ivMyh utOE4xN9pk/uxs9kOqdwh2b29CcCyylcoQlKbQ71m+/QM7jPPq3lj9q1JZuWgdcEdMgiBdvSbZ2F Gx5aLGlht/Od3c4SK/alXWiTOmtfbwgRO/0ljgCPjrQnH0Wnl5xDkKop2zbs9GQienl2oWyK4DSe Tm06m9urt281duf0FE1EuJTgHUe5w8kddYHCqBvNqbOLwq7P2bAAJX08zX+xpFBvZr0VQBHaBg1l +GOcntrW4srtDhdbugsy9QRkW6hcjOaUgj8Q0JVBuVu2KDWBeOxZn/drHNsdNy2wDwei8jM093kl ShBkGCjIVyvEB8EXbc02fuJWQCjkn+gF9Lp2sC9gUVrfEG55GzFjY9rHhkSFkwBB/0VyLgEaoYKt 5ZxO2bCFgEj2SUnVgTdKNpX79Et3EYiCFiRlLPVsoOrAsZSkP7xJExHdey8MOZCQqS1TAOP2eemp MlykYfpBGuW6BgUWY5IrcqMM3hvBVFzXNLVXb17q35mkhtBEy705HnTejxD6OEgi82y7r2KrEFp/ vp47al+vqVti1nKIAV9D3/7H0R/t+w9/dB5qsPl6OrzSgTejEtnVNt603G9gs7c2YOFWR7xbsloM QKbVzgUELLHfvPneni/GNmWCzgGznNpmPrO0P1R2fYr5jqqiDwEvtbQaJdyfylD+0scBbd7oU32q +f7Q4xQ9f8jgAsm7WW9FZYrPPfJvBn1Lk4EsnQQSNEpCUl0fic8qMpiuZEVuFxOlqnmrsBKKTOU9 GB0C4H6Crx94GwUvHk0tLpxpOj17PPBG+eXZuTBB8+XSbsdj++Pz7208m3lgEsPf+zEHJG+s0aPM C5svBixE44qWXV717Izyz9CPh3sHtokyxKc3gA9lS5WFrGLtNu6k/+ptKMh4P81f30sbgtEGHXf6 MNq0zgOMh2CndEkeqDwEnE5Z2m690tSLJrWeA0drSorQj6Ok4iEddEIZUrxCn/rYf7EOqghkRnLz gdm/d4G3jGDl/6deT1qpR8IGl8hhywGZynrCIvG8lt/zwEmGUNGpB7+6816Ugyd9AWEyQjBGZQDn IXh9ysAgT0e3X5x6dp6lig8oiIQrGwASVVOdKetmqQDJ2kGuRrAIScrgB0BJhmBgVyVV1M8iqyuT Qj2slPuRuMS2GteXj3XfUUVFghkcm9plODyFss4zeC91dVgE2RwPfjub40UYenUqhTuZbVruCE6m jyiAWygCdPZgxrAA96CLXtvFHzemwISnAUqqXF0kpbMWRw+lfGUrsrb11oZIJ1cTKeQOc7MJXsVn LdvOJzZ7+73V2y+sc3Ut0Ghzh0eAskXr+ZPMx1EaHzvOnDbW/+JHowxt9sMekn25/2sNaeSTr997 P43MLlZGf+qRd0qv53tZz5U3tUEzuxkv7Nu7rb1fMGr2VHqz69sGMKGkUO7jLMKgS2aiUHcodSap qVx5fHZhXz1+JrQ5zfPJbGo3o5F99+K5IAgx5dfp5lfiMDHy+OR/1z+DnRfprzKllqfmvW5mj646 9m++/sLeffjRbkYz20HFUC+jbcs5uKtMGuGyHI1KCxqY7a0UIpuSSxKS+sxModhMq2otf0O+jzwM 5XKyD1ZUwuWktk+2Gtcj9lZ2XPZXGlOOm/CShM0RGvGUhcq04Fzul4Ia+FTNpyeaovFzlF5MFVst W+re5OLrkVVU+CnImt3NXZGfwptQJQmNfGfG6pKygDS1rF12V5Mx9eUcC8Y7k1mOEN0ECi9tkJd2 2hBcQRDw9OXiie7NcUpMek1u7OqmrVXlGCYWBdkdBd92N0OJ3wUYoQHx+5iPKJGF+hJkhbNSskY0 v8/7PdvsK01HmXZCe+K6Q+kiI0Z6h8xwMoOhEZB+YdDgBaaDWCmpKRfJ9GQwgupIklqnLNRaAKsH 7VJrGEFJBdmNdNekXgusRCauW007e+22OLbL7UrUGuSaSchZP6hk3GLAsaWUT2y5WNtFZ6Dn+bAa y5Ls76/P7atuYfNqbtvzjY2nc3s7eS3uYN7rPxA8Hqa7+MDo6AfqQfr//8dD5Opj4DzGmk+qMzSd fv4nHrkayZKk1Zmr/z7MtvZffqjs3c3CG4yh6hSuBekXMCcalR/rZ5dvAY/DadSyTrttf//FF3Z2 cSau4cs3r+y33/7Bako7FNhlKe7oYm38w5Tj3vzh0IR3Ko0X7pJC4URsJQLqDXtmV/3EOuXWbm9f 23g8tl3g7gmLBNVkm9lqsbN2GTZauL9qcgeVUMcFeSai8b1bOPvnkumll0oqh0Jz3y1kXRQPdHrR ZsHQ6AZDREABzU654zNCrjDjeXkkZqDyEwU5vgYtR8EvHAayzcIUgk1agOCurQMCHKQ46HT6OuiV q8Htxga+433TULp49u0aYuJGhgGJsjkAlVFFQngqfg61AcfXCsXtwvIuAyzgqosA+rgk3CsZo9IL QuHUM0x+nudzxkCgU5GpbydSWpXWfTII0wcvtdZrZG8KywpeB3zTxmabuQILh0pU+ux22t5DgnrU ymwhhxt3gfZy1Bv0jgcLGlj87H6vqaBUaS2zx4ML6dnfLGmmMw4FrR6GIGRMmSvw0l/j52ghyBRl v7UXk3fKimdbR7ozqZUWFos0YBbJ4qXcm2Y2KDs231Y2XS2sz+QRAxJcoveVLXeVnQ0Kq7ON3czG kqgRevkBLuD+AXT70TWnIdL3mU3/l5R0p78XX7dZ6sWkJT5nNLTQ0mjCI/6M9/G59yVQNxkRgWex 3ttoWdnryc6+f7+w6XihTe+Rm6lLdFXZivgrgGRjIoGl+vkFLiO5lZ2u47fywv7Tr/+7ff0lGum3 dj4411QGuZrXb18eIrMD412plBPX31zjIwZVBCnEYB82yOwKKgo8u3xjRU6JgtSI65AL7Fg4/ECZ oW2sbIOTcfsxlX/a7H56ut58cPqAHiFYwFa9neheA+pfE+s9pVLrMJZnsSKASJlIL0puP3gkou9e 0nBlOuZBA7Q75aDUK9n8ykZSw7CavpNKU70IAFTQ2WhWQXXhmtMATqT+0M5yu5uuXENMCp+oZOxs sXHEN4GyX/ZC490bseLFSQUUqojjm3C15n2g80r/h14Um0xTt42rGRBIKBudruEHF9eAlo8a1DTB D2h0p/Y4FOKYFUe79PUW6WBB7iSjsttPPaPJ+oG+5bpTNNM9M/KNGJVDfMIHm2ForaItgjI/Vy0Z HuR630yPHWYS6FTBdRu0P0EdgUCyIQ5KDgQ+yKDwLI/r6DNOz7q1FiUCj76YMxRin1QGLJStKrDB mHH3abL7VFeOTRwGKJEgaEnPd7MTv1DMhgqDV+hBhVu+7bZ22avt5sOt7VfnlnZ79+opDwD1Aeai jU32Gkv4B3iAn5rk/SWh6qEAcgxWR4hFfI/3sFiffWLfEw/BKj732vnNbGHzCpvtjb28Xdlk4Tw+ ehFR28kJtfwdIKf/F33K4hMPun17+viJLRYLG43HtkGoLknsfbW0/nRkk2ph2W5tw15fDVxd7Nho C29M43TV4g60DJhkfw3SdXSD+i376aOu/fSsL1upm/mdoAoEUhbU9cW5TQhINMcDLsf1t5myeRkJ 6FHBReWgWxGzQHlfbCb1YCL2hSmdBAUd+oHzL0EscuG4QWwAHyXy/0AhjpLR7rXnWllMAMk0SilU eikrFcxg5oDygscVArerkpLVFAHTU0Cl2azlPuSwBDdEVTIBQVwshEEgEjvXT5Mwoc89d+3nSApm llH+JpiJjFTmKshug75S5jSlKHdN6QYFSh9RJWKQPhYswgMDGaLj0Mg2j15yXDfhuUR9ISb1bGdz fc7EurbfL2y3m3k51Rr6JFSlMX0/Dx9uLBEOGSAd66WNZmNxF7tgsPQ+mW66wUgQiToacAiPZ9br lprWoTTCYeVYtKBzJujJVn1IyZ4EVQbWgaa5YULnM1c3qY15DD1ITZyzVM8vri3XM0w2OdjeoDkP lapwIKkGLsEchMPC8Xhru+qkNprd6rDD67L5qPloUrtY+b6hdI3g45MMx/fT/UndqUZW+OJfnHUd cVwnwNPG9w/PdPqcsSd3+Odn9LgeeOQ/3s3sh/d7uxuT8obT6WBvHUAI+rtPvU6DFUECIbzHjx7Z drmwD6h2jkYu6C/729q+e/ci6JVA85lr0Xk96wJiB6nXALJ0LE74dKFhTpnQayf25Ly0r867TIzt Zj53Xz0pVPpkCl2iXbAcIwvkgrGB9F7DaUufhzJNG438ArHB1dp2NKClytBSJkLWREnMhspyxOSQ jG6p/wT2BrUBlUXBOIAtrvKHtUQ5sKNpSzkR4A2yPPdAEheTA1Q9kLJxCB48JE2Mj+OmEpqafjca T0j+pNhspYUtMdYKyqy1uY08VCIyDQKeTBBorAdUMYE6p+Qi20scMkHQQkcdCRQvcENwodyXgSo1 VlAuYPSCC0zGxNHlUchSZLNG0A4mqG4O4ofGbjtXean5QtY1w/q97mn8TwludT+srYjc903KcIQr VOFAtEXayDMZAmi/P7Tq9kYbs112BRQG6iFJwu3c11MwhdW0l/cWlFQVQKP0Mxpv26AqK3keX+fq kyLPo3KZTMx1xPgZgqMcyem5rbfiEKo/iZnwbiObNgKQnLgD8l9LH7fxhImv2TkVSNESH5V77BUE p9Pervo7G938f+y9SZNkZ3Yldt48+RQROSAxFoqoKk4iS1Kz1TLRTG1atJnMJK2100Y/R39EpkUv tJK4kFFstkxtZLFFssiaUBgykZmRGRHu4dMb/A2yc+73PCITmSBQhSqiaPRuAKyMyAgf3rvfveee YYm2nCOemKPDeDMPnAKqHU68jd7n672HJijgpzk8qVReM6rdLhy3NnOvBMSP3zvegy/Vm9sF6sif e6Eevf7x+W8/TlmfY8+/9PPGghg+WbW4WNZolXDjuDHugxv/YHxe4nzcavemkynee/ttfaBXq2s8 fX6ujdX4y27emtFpDNhjwHS0lnAavxFnUAdveKl1GewQyPie0LwfIuBlUYXriuNXgNV+ow7JsAuL BOdIKKCdF6V4QEYIvR0RxfZbuJluLCuYspzpoC7G4A/R2/Wcec+SMc5RjrFQxmYyi2AFT2pc5s9h bFnlfgc3ZhagyQuYhdJAcCtfo9zCCoMFo/JmTMUGpwun0dzIkaLdL7/PaCaU2tDLiRY7sUBhYjlE Blk3OWKY3CVgJJKAaXanXA7wE11VjG9nUWrFFRoz/7Qhdf2sjX52E/GfIDDrXn2S7HQOW+uC/cKt pvkZ2DKDrZIJWukhdTv7jv+iawV/yg6DP7XuwP0+4WO0u9EyxWghLGg1k6OFyhsexReZMycyJ1HY w3SyQMmwWL5JFHrXDWaTua49WunMJgsl6kQe3XA9nJ7dg79dWYBHXqDeXWM2XSAZprJXnk1PNB0s D1e4c3pfSyHOz/PpHGW5QyHLGHZpdJmwz67qD1gUtHAuDZJgYhI3t86Ghhgct5BcYIzUDBZkW8sY DCBtrIJHKKsq0e2vEWaFCtF4+3r8V1ujSEq9zojuI16Gur+DcLKwAMaXis8XdU5Houhrqotw45cq yMtEzxc6qxf+uitsL/+C0Vjz9ve79KPbf3hc5r1U4cLVhoEMpqWyoup8t8eUgZunb+TSwROZ860H b+BkvtD49+jyAtfrjck2bj0RYReveVvGrcHYPmqc5WdDQJ1SDMZcMU499TAlBulZYAFHlUNpL5qb Hp3kMtRjLFkky1sCyLTD3VcbRdC/+84HuKTdbUB/rAXWm5Uuat7Yl+sL3D+9jzC4xHq1xDvvvI/L 1YV0hbxIKQC+vDrH2fwu0jTFo88+wunirk5tOk7eu/cm9vVOhnpFPsf5xWO9P7PJBJcXT3Dn7IGw KFrsTme8qDcqLIxHv7h6qkIyndxVkOfJbCEscHW9Qp7P1V11fY07p3fx7PkTfly6oZ5fniPLJjjN cqy3S5zOTtXNNHWJO3fu2fPveyxOz3C15OtODPNZLzEtToS5LTcXuH/vHQXF0hjv3cV9XK0uRDsg teBy+RynC3KNfFysnuHByV08ecpO2fDMEZ8aOnKNrDixy2NKjc9OatyK34ZS3LllbtYdkjRxmBNT li07UscIsSqC8BIRWwMrt1J2Tn2v50ljQL4/q/WV9Jv0byfuyGKzLTf6OdwK7nZb0ROKYoL7J2fY 7rbmqc8RkFpLjazc1lIA3aOqzPZYPLK61O8gZYaiakskIDRywIM7DxDxfbp6jqapMC0WSIIE0zRH y/DaoFRbSRtndnZaSjF7qq3RV85rzcEs8rtUzmKIR7tOgbTeboWkWGhjeJsO0CU5nu5LlMtr9EOF e3dqdDX99DOEafbFIafHgvGagvOSwPqG4HK7+fgSj1dIdV6472/6l6Ok+OXC+LpCGtLG96jZU4vD mdi2O7de1VFNf//sDO+9844++I8+/RTL65VY559/uKcxMk9f+nm2YYC5PwAAIABJREFUEXTeSyQb st1nCEUW4K17J1rnL5ePFcjAU7vUeGciWGNTO92e/j8LrhENl8tn5lvU0syOpMYDVtfPdNpS1rEk tkAZhtNfkUn97OKpHCt5cXKbSXCYTKW+q92oSsC+xup6rxNztb5UweLYsGJxEFJu7yELV1lt0bZ0 r2wVg67834EnJ4XN3IR56FcX2Oxo5UtrGxrXHbAvt7pheJE3LbsAst8YnnqBg55Li83mEm1fYdP0 KHs6uB5wtV4i9kPFXT2/vkDTlOb2sHyOfbVDPxCzSVA13PqZkwGL1vnlI0lSVCTkkmB8KN6o3G5e XV9KE8fx8oSF8vm5pD2+x7U7hfHHNEoE/sQ5K0zQ9daBqcO4dXGOlxix7Tgnak/xuFnKMJmSrPA4 ylDTcYG6yrEwOvxIvDm6X5R7vV9d12C7b9EzqoxaS2eVui8pPDf+FRcxvEKWBNqHTpAEXR0ICTTV Mx14lHnTyoddkQWK2DjJoi1dn6RLZtetAjYAD+69h83uGlW518j77OqpU2Sw3NA3boKcTib1JdbN 1pYKxCn5gR9MHG2frmUWZaRY+CHO0hDbbYmr/QrR5gpFmol3N978fl7goCjrEM3zT9C2JXzaG9Vz 9HFibPcjAfOGR/U60fLtwmJ8ypeCTl/RVd3++y+2Nbc7q5cKlQGAx2o0UlD0P7+kdQ4foYiNDpjW GvhoDz0+aXviNMR778FbYqZ/8tkjPF9emSL+tb/MeX/KbuZFLVQwuj/GHtKcJyvJfPSHapCEHeYx BaMxttcmMxlxNNvm2bhm15UB14LdFDVlmXUsMGVZyrKYAPd+vxY+xzGrole3/OOZYm1AebvbmVq/ 67BcreCFa22x6tLe1CyeY1tu0XJrOvAmIGgs5hnaPROk7abyPP5Myz2s+Vx7nubsHk1S0zOgVqnT wHrY6LTmyVs3G4Vs0gmURVDpNkwiltUNsNm6pOXBugA5n1JzxifIEZE2vlz8xSkq1PJvJx2h21Ym B6LLQ8UwEcLne/1Oidnbawt6pSSr3JnNDkcyOhbodRxkoUw87+GTn+P05A7W6xUOfO9GexMdZFOz mHFA/dAXtvq+RQbkiKjdBD9/irr5/Pl5Rew8OAqH2iBzfpUWsHdyJxdOSjWC0VF6nM3PUB9Kdbhc fkiUrc/P7GrGbkzJ125BwddSV3vhkItkoq+vq71pP0W9M8LwaHmC47jusEblIRL7C0QSZSe9a/Zi tk+yzNw5KC8SLy3AIpvi229/G88uLnC93RxxMWK+1MUSelht1m6jaIEpvP7eSRJ47U8wjw/Ytmt0 9RmCcHILN/IRUK6GBbB6jM5rkIUcmzfo2hlCgvouF/NoofwaF4fbRebF0W10VHl9ITluA29rAl/o rMYf7SYo17d8vqP6asyscBTmOm7BsdAIrxKJz8P9szt498FbuLi8xH/82c8tb+1Wvtv4hF5+vBhi a53UlKLiKJQ9bzGJ8NZJgdA/YEMuDPlS/YCrzQH+lp+Nu9hddZYGUQZ4kXOqNBKhgiGcrIIXOW9o XYTDQf7otg0UkmsyG3Z0TmdGzhA7M3lZOYlP7M/gSRy9sxFGN/pNsKg2cwxfkNuAkTZlDtdw40go wUD9js6RdGilAVxI90+GT5Bk2EnmwvW95d2ZsJq424hriQA6AHuKzmsm4kT6WaRlRIyG56cU3GxD zcvJrJgF4lPoLI2c01mSAybOlt345jhhRn6G4/HvUfhs36vul5w3vpdcBjQHzIoIeTbBNUdxFt5b F51JWYzNP9oL2yHIt50jM6+lXN2e3C9I24iJyw3yCeN7Scttz7fcR12TkvCYrk9dD2VUtHqut+pN uL0VT1DcvBv7ar4u2emyMLP/7h1VwuVF0oQy9XMEXSIMicWWNkP8LVW7FS7JLXkWTdGgFKgvj3oW tZjJ3b3i4dglr5q1ujtpNLkc4e/my257uYfs98QbA0XJlWWl62KxmOlty+JM8rPJtEC5L4W1clMd hwyl8NFueK00ny8WoD99p8zNilvnEMi6nfIXGJAxQjq2zDAr8NtFZPwZ4z06FpsbT6obwP2VG8Zx fHzxD14oWE6ifvNzjpDADVb+i5BIQ6nZKW5V/TFTfEPt6UgZ47fefhezyRR//7Of4tnzS1u3ayty 8x5YK/mawuUA9DxgXJKP2SRCkXLzMiALKSehd1FjEglXgPK8QJoUePTkE+NKOZ8mM4kzEFwcGIYg MEzT4yrcoq7kN04SI21UiB/owCQp0UYhWpHIpoqmedyCydWxcQZstq0b300fhXWJWtUTeLECoETn iGEGXHdb2IJlXVmkmXhK9F0PU5EhlaR9oIUPXT9t/S1Kw7gJdSxxktYV38WpQYmvJvBlXmOajAx1 h/uJOc+bmcJhs1shj4rUD47BpBkwcorj6kDpAd/D3nIex4uTNxcfCh2RT9YNY5qLC2E7NA/U0/Tx 9OKxkou/8/7v4vnlU21kRw7bqL3k+8QbXkWpN5O9MJir06RnPvpCRFR+D99rZfzRqkXPg12ObfAs hVkwvutOLSpMpoNKqqbO0LbZI0xgyhtfvmK6apyMcGAhdkQZstTnkzneOP1d5PFCI3OSxCiyuQrP s6snyHNL4fGTAf/Pj//k1iaW0hweA5YcbenPXH63iAZzB+Vm9o3ZG4i9Qnjlh88/xJ6OqOcs/B0S +vcGoagSCpQlLhu0mMSUWdNJ17SVeh0MKdFh+pI/VV2jvj7HxqvhVxZmknnshs3qmm/YDXY4krJf LBCjUPqVHlq3attrAXt3L4yPUVf78t85OkGMX/slqe62phEj07oL/oKYcprFAu+//TbW2y3+8u// Fvtdaa0iL55bM+i4RxiJnurKjpgd03J8JJMAi1mMaTYgCSliNrU7v06yIz9I2QU6ZrJemLifJLXS TFBPcmyBdKpy3BPloDUcRP+3cwowq1dP7TpxD+rPFFFlxB7zgic2oS7MxgZZCivE0o0RnpN6DFzF my+SzOPk9mDxWBw9acejLad4OKFafnZtcvLkexmFaOoG1eFaXWAU5hZSy7U55TzEjRyfhRs0cpwo AVI2JHk9WSZnCXYKwvnoeU79HiPRpP000bRGEVIF6GDqAmy5OFOTKr4XGdom4h57I70GkkvZWdCe RwZ0ZkyoEVdicdNMilHddxqvHz2ucXpyH7PpDMvVMyOOipM1Hiws1pSysIi4LSilOCTuUsfJ58rc xsiXiR5/h4HrJM+25t7gunt2kvKg4vWhzinAyeldtxjZOEqMFdcsZWS8L/vhuiXxlaA6KSCkS1gX FYtX12hZ0ca9lhjXm2tcXF2K40ZJELE8HobrzbW7sMfgCbdVhofziyfaClpLbNSZli4PXoAP3v9d 3L/3Pp5cfIyr8hkOS7LZDyKX8ufVQyWrpqak7Y6lbweJh1mUoN7W8Fvj65FzxVEvSifwuf32PAx0 LVk+x+XyHCTHHbIAwYQRYkBJrqAbY/Wsnff+uJcbx77Rs90Qmxts6dhNOUrTq4rVbR3jy+D6K7// 1kj4ObzrpZ/7pXhYusHlcGnK/nmW44O339WN9vcf/xxXKzPFs+c0dlavL5N2wZuXEU9/ptKcnEY4 yVlYGpH7eGOLtCf/cEvPZVvu3HmVDdceGFHOMcx0fyL2umJmXtvO+0rkQEcVYKfixMp8x1mkjkGn skUhOXKUFJlWrG6qo4mcnaTOz2l8I92GxJxIubUa1DVQMqNtF2+CxFJzaGPMz5M+6WLt39o5CLtx GsiK2ITDLez35OaqwH9ibjrt+XC0UUakTyzHXouwFpdMI4Ki433xxq0p7PYieTj5HAidW+t4wGjR IXKpfb/FdY2sb3OYvaGvGDigRYLeV1dU+fqaCler57h7575oGxyzWFS9geO1kUbNssalZXMkdpQE 5V5GgYHJckY2vM1kWg57cUElMlTk69O4FcqNlY+Li2fymjIpirlTMNTWljgmD5PG0vG7xpFIwb1B ijdOvq3X8eTib/H40sNmvxWeRckNrzBFfzknXBb18VnJcJAi6qHD2cl9PL++tKLWUBDew0soAo/w 8OFP8NHPP2TfjjlpF3WFsCl1kA9dgIqTAV18UxZjy7gkt5GfV0aXh74VHy+OOoT1EtUl5W65uty2 3qO6vkDe1UgXARYnEaaxr+g0UiJus91HoPvIkr+lMzwqSb5A+/dFjxf8tr4o4XnEsn7Jzmp8kD2p TmOST3A2neF0NsN6t8NHjx9Za6rRiOJeyr6c7YjDt/Q4tpSUuQxG8CxCvHEvw+mMIlMyr3o0dBpw ke8sKPQkN3q+U5rf9GpI40wcryfPPjHHBG2mbtjT443ErorbwaP1hZu/tXdx3KyeiUmOyW4hneOb aD7hBhIbSVBA+mheN1BeNC50t+j6qTHYyfxuN2DiFMFQPnOFczJ3Xr7vpo00iQvdEBjDtXYOEDaK gviJ246asNsXAZF+68Q4ONKwQ5Kgti8VB0/OhzhJbluV56kOFRZxe18c/sXoqySh54wKCSkD+gz5 IWsKGJ0jWDgNm6OMyqAsw9GkDnC4Gp8H3/tm9PvnqMbXNtDALkHltIjqwm6Br+K1qxuhRYvdMGzk WQzm00QjOjdzLDYy0YsNJ+IjDilCkhJbRFleV/yc+eGQsGtLDNscju6kI3+XHRoxNusIbVQRt4sJ QS6TMOU2jdy2Je1lauz7Cj2trR0A3nqtCg//Ljuj0TVWJFpnDcSNK4uMXntA3NP4cHTlHYaDljSP l9d4+803UMSFlhcUpC97c/LlRjTLzZJm9Ai7ZCcu2ghNCMhtO2CamM8Z6gg+feHTATOfXvuhMEBm Q7YVcapItJ3DKJK+3TU5WGY0LHBfuWkeP0eFeEWnNJJQX9IGmg741jbRAfgOfn4t8P9yR/VlWfbh G/MzRGGCPCnkTvnTTz+VCl0lSC/cLgzDFYiD2Cl5g5rZS+FnGab0WI/xzv0Md0/o3z3G3PMUdJFL +sBtfFNmnhJIzOxufBEy52PGnkTC9jtGeZBObqWtGFA+psSMz0cbJefbPUJ8R43TkcDohBsiZ/Nr OxpBH8cLI5UavsJvCkiQ1GjkKJ/cgh3fwp10eSMHid3S4O/lBeVhgqa1lfZoDSaWueu+OGI1ww5x tFDIqWqYOh/r0rSFFXnPIut5UXN7J64Zb64xgJU6Pb7H7jUeGm6s+HtsDLIx3tn0qEDbp0ZQ2t57 K/AyNXB4mOQxzmxRFsG0c/ZH7M2AfBIyd0wFdx5iR6dO16PyZ2kDLYzO3u80jXGoWux3NA0e1Gkx Ok5pxuwePQ+TiEnZreACWwCYw6voD5GvA43jGztxHRDMA+jN5kaLGUWQsetlBDyN82KuoNWtauN5 /iNnSnnAXsGyRnY2lYV9VixOwjPdIcav6NpT8WNCNLe4XI7QPcQkW7M0k8nhZl9iWdb4+PkG1/sa 85y+Yjnef/c+nn3yI+VEciSmiWDtHZTryKTxy12HdTVgkvlYsBhpQ1prm54EB0xzHyFpPk2k8V1e /UoP4p/HqAemat8GoF4sBqN6xT6bV5OdbtW2VzPhX9b+mXfz0TlieEU39aot5S/q2xXOC0ojfDxb XeHJ5aV5HRFUtp+qJ8ObxEzj3ayq/a8VCdIdCPKyTZvOI7z/Vo6TqWnfrimdEV/GOYyKyW4McVOY m5RAHlTuAtFNNxBYpce2yzF0owi/RpM4ApZiP49e1kfvd3tDzaLXZC/SsR3nO9eJcFRyf0+bQOHM DDM1axYbC4hHMRadRYJyj5lbSPDCDdA4R9Hxsxg8avmsaOnHSRW0dWGZ9tCN4FJ/CKq3LVnn/D7K VGxkYdQa3Rso5ZDzBW1nGPip4m0XRRSPwQekJlgiNtnW/EjoWpCGvEEi1E43qdxDLQRc3qCTufC9 oyNpw+2qnogRGm1cZ1CHfU6iYoxdjCvm/O8km6jTqPpSujmnMtHIbCRPi6vn+6/8ShrskV5QGveL xWuSpxq1KPCWBz0dJjT223UgnR2Z/C0PPT6nA7b7DZqGqdH2PMxz3yXwKBnZDjZ2d+zoWBSZBcjP jZ/rnv5eQytBO2kNY2dtDA9ahlP8XZuTxSj45vuubSHti1sUSSYDuG2514huHZ+PXV1hX23x2VWt CC8OaocuxOk8R1QU5j9PAT3dfLMJ1nWNzWGL68OAq9bHnjSJ1JoFSsTK2kB34o8hcUculni9SGFh +k9CEfSIP5T0lX7J7+RzheE2BnXz9c9tAY9M85eYnC+wIV7iad0qTF/TBPi5R/jo+RPptTZ7M5aT LEI3vDPPc8VA7gxaEDqoXRdsjP/89z/AxcUV7t4/hefTn8hGFi+iAVqG0K9lNUMjM17gz6+f4rpd aczURSVsysTArSsWPEHTZILN+sJ1Ns4RImLsOvVxjs+lLDsrXALsJVe55c6o9tQCLAzDGTu2m67L Z/QGi43zMdZ+j4JcbrPUfezcB3uLiKffzxvZvmZgJiM8rFgFHnV9tr7XtvF40hXqWehw2bZbxcLL arkbsK0YuGDPwbZf1vHoBnKOGZQpRTGxjBDlbis9H88C2RCL8T/a0sSu0LjAiN7Sjvk15eqxsxX1 oFXx0rs+uivo0CS+xy3lDSuZmzwWIf59dXpDj9VmdWRyW7ahdYjBrffbZYu4TsgXDsUNbq7NHLsf 4l52iAme4GHJAsVDsjO6ArshLjM4JnH1n2W5rkf5i43qCjcFyaxRkWpzBEjQ1BWGiBmRPvmaIl12 baQtXu8f0HobJLF1heI9yfzGOjl1Tw7T1LJChcOSulfbla5NS5ojN6vFVb1FyqCJOEM/1Lqm+P42 CFEOW3x8/qnGcr6HvJ7L1sPVHrisPCx7H3t6BaVcFJmER9xDvt/83j7ARdWLr1aSNEzjSecldicK EQ0BtrsKaczR9kXR9Pi4bXH8ApHz5e8bAfLbXKsbNoJ9zw1h81dXnV7xCBkFRfKtcAaXEqJOiPiJ G7MEXI+GeiOWQUvlNMab98+kf/u93/1A7HfZyCzmsjouFybOJYv89HSBsipxtb1wF7ZueQPGxzw/ V5y2+x3KkqJfW1fzgnbrJyeOMHeDnpsUs1cw+xs+V9Eu7AbSut5VFAOcbbkt0N3hG7YAdg8HupuH 086WkuxCwkJcGlqJyE+936vYqMk8/sNTOEff7e2md7ywF224mQO4OYLgMtzTJETjP675LVSVGJb+ y1PWFYrDwcP07LtI7v4+DtUa25//CUoWPY7iNB90hEsKxbnwILVD3C75cJmrKutswtOYP6/hAsTe H77P9v7ZiMnlBEmQjJHX6ENGO1O/SQER6Gw3Ld/TvJiI/a10ZaUOEa/kaGfO/Rz92bUq+EH2Nowv s07niJ+wU1U3bRtJWglb9yyRmbaf9ArTmK5EcrsuiQORujKOuNwW82ekfoJ5eoI0mAMFcLKgzMk8 +ZkTcL1ey4eLP6s+VCqCZb3Dx5c/lluI8bvo/0VGuhn3jdpRjcs9hfgc96kXtK6VRZtSnF6Zj3RH NWE/k4o4snGEZRR4lhXYbleyMLpedzjfdmh8D9vxKgkNzuBdxmJXDz62vY9NBUyV1chOFNhQTO7R KWLApjlgW22w2wcICxeE8bqRayRw3+6YXvGtt4vVzdX7wjccicNf1+MflBXx7TlwzctCEHK9GsAj iF06oJvrVhUx35wM3IqcL5AXHLVxT589Rhw2+PGH/58A6efXS3yysu1Md+DWI0G53yO5sDdxvb9W 666TXoZx7AgM1FXR7HmREH9JsW6udcpaVoVpzFSwxBhmB2dqeMah6xRXOqutzzna8mbR2ambQgIZ Rz4dk15GcJAFyQBm0hnc8vHWh2FYjOE9ZMrbmDcKtYegMCteJx4mOZKYlgisIlDa3yG2NR5s87Pf Rn7yW3I6GJiMMxBUtWh541lxU0hQ3RwXOmQIFx8A8RzYPUV+8XdoNz/T95PBo+4n8FGTTU8OWBKI AkFez3jt8cY0igD5XTF2JUmSzsHCXqb+dahZYGItScbOyxYRdiFLz9l12Fcl5rNTo8UQ43K8svFY UcE/vt/muc52k1tCbWQH83hnJ09AXJ2cZy4H6ij5fNmhMEWZVt2SOHXYbjei2UwyrvrN3FGxXdyN chnDgtoT/xpkTbM7XKloMib++arV1o6gOl1M6QRh3UyHuqsdFmdZjOqOh8iCJLg4crpDXitMzOFY T1xM1IuWwRNUbQS43pcueHjAYk5av6Vbk07BsZc0FlJeVocWV871wrABtl+8Hz0cKB3qWDwZ8Wbv /cYfUDD0YsxY63vs4wBTKhU2FXYHH+luLU2hwli/oDDcpjfo2L5NKnUnwMsAu8D028fv11mtvuTP C/lB0AaGq18/IRWaGE2IIO2Qkz+VkwTYYr2LsNvSlZJEQA//2e/8If7n//F/wv/2v/4vaBX5fdDJ WvclNtXOYQ5GV2DNO1SROriQJEZn1Dau/UkwlC2vouHJJo4xLWZYXp+7jdvoPGrbJ3P5tLZUHYTC FFwBIg1U2zXztdKpPx4oI9iuD2SnqjPQ6oREzvH5eDkCEMydWPcRm4kfO1H5ON2KVFSXqI0fSYQs BvRHLzD0O53ewtVEsaAZG2kjxtvgv2f3/wjJe/8G8FnIrbv5/KF407ZrJHEyGsaZh8Vb6J7/RIaJ lCVRgsP3n0WbFEZq8TiG84Y0xgfBdHKgSB/x0UXcKvEWt6LNgsfRhk4CFPGyu6DbJ8FkdS8txxDy 5wJtL3mQlPudRseUchDq2WTr4yQt7pCwzZ7rHF0x5mHC94zeUNp6+gHuzObiYvF6pHi5bCp9VtyQ sVtUPFhE7/wcXhbJdpjj5TjeGKXByJAslmWzxR5bdWuJXFQ9FMFUQvVyaLBtei0qeEiNOl86ZngN 7wWXyM1CKtvkQAspLi549fHwenZ5rho9TzKNtVzb8OXuhYt12noGfoLT6QQXu7UwxvPlEmXHTp22 zMCTUq6BdG3WvTFJBwzNgPMtf1Jj+jVbXrLNx6j3mzBUlr+LT7zzcL5s3EXZ4nJ3hTDOkFDcT5L0 a7oW73WkUfHybvCtF/CwX+Po97pHWBLm5UjhLEiIkzw4y3EvJ8C4wb1JZjYfmpmtYzotpvC9Hf78 z/4tksxHUxm7nBsXemsrpluWumOIpVXnSZygInepMYBSeA5X7467yjeJAt5yv0ZdmeePJfI6N1IB TLZtImZAcJqjh1JmxBVyIZ5jQo0bFbVpc1l1t71+Qq/QKU4sTCOpwyt8Yk20dokIeNOAz06YmDQG MdttPCBVgK2/pD9cPBDw9GyU5Ojz3r/4LvyJXt0xQMOnJUVIAPUUdRhj8Owk/Eo7kyBDULwFP0gt sEObVx4YrfhI1cGKykjy6A50t8zR+hv0fSHXCY599MRiEeXNFSFC13rIhgRnJ1Osuh2uKeLm+6Cx nXhXLw/1OIjFqePtG6cx3n3wHp5dnGO734rXdpuAyPeWHfPoI3WSFthxw0txDcdKkVxbbChYDpl/ 2UgUTodQdoNWUAz/kj96WSGOuLlkx0YPqgFVTevrROEpVCzwt++5+SNATukSQ2ajDGV/kOsCR3sW IHZRfGYG1JudkHIafVpTm1eYWXkb4ZMSIflX9QO+9db7eHb5DBV1lTyw7fSSlQxHPOpV2TF/dlni ctfKOntfeXjGRApe65RxCbPUSlIW303F0a7FJCPYH2DDxBdR/N0FCOOnaeTnRcYPh5WPX6N8SQzg Lc7PP8Vpcw/F6V2ELnn6c4+RHPiSqZ/wqzFhmhPNCHd8A4oVH6EEyDRFSxjh7mOepvitM27+mPmX qmugwRm3NtxsLIoMRZZL1b5ZPxJ4Ow1zDPTCPly53Dsq0W2VPoKHQRLoImJrbxc0nTRtAe7Ccl1K CWUoGYpiKnsWbYG0qneJ0JKNiN1jSSk82bn1chcMCyUlKbx5+Ry5XZPWTDea/b76wIOLVAXDfWjE ZmJduoju6IhrXk9OAtPQKQE75MldTIpMPLVteQlSyfiBBt7EirM0cHYics2cfS9CUxhFRA+y1A8e +rDFsH2I4LpEC44MX/FBNnzxBrLpPZS7p3LHFP2Cr88Fs47R6ALOdb/ttbk07havb1MREJ3hBUnc pvCnuL84xbLd4GJzre8nP4khqClHU1kt+wbwu8UDw0X//sO/wYO77+Dbdx/g40cf4d0338PF5Tme Xz43i2kdThQFh3IUJSmDxcJ0cuzsPBUSgujEmvh82FGJVOk+V3rNy1Ja/vkHZCHjx2Ls2J04kqt0 o+oYiR9ZopBuOukE+b7U2kayi5TDiHP6GJ07RptsI6saXGFJR3TasOtNoR1MjVKmJDtbLotso0p9 XzzJ0bQBrjbGcRv8CHseUiU7vETEbDLwd1gpTmwW+vBJadhTlzXgdBpgmrNHDDBsQ2xpWWGbKRR8 /ZwGIg9h6mPYH6Bm7MhONmcTNBtcrYAkKxAQz3rF47ZUR4epm0w1+Rz5iqOG95vzCO/PE5yk9Pfu MU3YER0EtNLOhMxr2qrwQpLEIYwxyxZWGPpWNhhcD5vqnv7jIeZ5IScEG5HsYlBf6/hVxilykVvj e+3M4/hg8ZlEvPGM90TnxjFBeMzB42fS986yhYJmfp+Et8RIGNbJsVZMV+vuxB/i8zduEm/kurWR hXgMOy8Fq8ql1CLDxO7mHevoE7RP4WumLmxXlwZSqxZyy+hY3KPb48hbO7J8bzhKYyvVR3uEVNj7 MxFMv9KDfKDpW8jv/iHqmn5PqxtKHHlL3Z6TgltsuM5fErMCUULQO5RsSWk5XY993SHn+DKfiUR5 sVlKyB25Is/fV/GmdfgUR3BiScdL2Qcenz/E4+cPRYl5/OyRRs/5dKaOi6c2V/Q8pquWFhiEFUjl cHpA511FegYzBhQ/JhgrRMyDwFlW8yNdzBYqKo2/Vee3bkp1uiwk3JwJ+3I6RXaZLJjTOLXvrStU dFOlbc8tisbov25E4RG/cQJqjs3cAnaNrh2+mDvzO+hcCAiFxxK3AAAgAElEQVQ3vsJdSdyMQ2xq H6uSk/4dxPmp3BMWHOFITo4TwR0tWe+rEOuSTPmKSnBdFydTD5O8FQmVv/vO3McUIbZdgM3Bwmj5 Wn1izVwGpR4KbSsG7BSh5Kg9Sjxp0NYlkmHxGgDeje23MfhxEf5L8KR+1Y/w3Rm7FEuYCf1euXdR yguFgDHxD0qDWRDMzfHZ1YWt2mkY1zRKASFOMp8UxiaOeOEYc9fEqCY56JlkzAtTU5nVd4UuCPSw 7Z0CDUg2LSv4si+xpGWC5XI14BjG4AdJL2zbZwXR5vTDmDDDwBFHEWAbz21Nnpj3N3lANmrYYoEn OTdDvb8GvInZ3rA4uYw5dmgaPxRw2WO5fW50BW28Jnp2N26mViH4urN5jj5oERwi+D1bHHdyScIS wNt/Bx1mCHqO5PFXLlp+eoLJu/8Nwxix+uzfo2kuEAxsNwiIE3NyB67tIYwDFoVaqtAQgRmDKsoM UPBjGc+tqg3Ot0u5lNr21nCxQAoHi+vq++bIeTquSN0YbnY/EYqkkMc/S9H5s89EXyHuGZNg6QfY sgPUeBO7aHY3zsuNIdJIbfItY4fzZCudbXPVmBUQN8m8ZhXQ4UJPFRKhkB/bhvCQYkjvLMuVu6ms bzVwpqh8cbXPTWsoPFaBq8xH9AIRemlHTdcM8eTojdbHSKMJ+n6FqqHignmQEQ5DjN6P0IYJipN7 iIuZYJZjEXC/T/5Wbiu7qS8wSSpkMT3C+OQzsd1pPEA3WeK7ohLxQ40oFTAumDzaWMR8IIs87Dg+ jrwUpfxy5HYW2g77fPHh6D8OInk5vFWF7IgLf3MeYeyZMpwjX9+ZKJlPkLIJuifwDfPAZBY22Cxg tcBc8mRGEE5C05bSEuP/SFSrF2zzvhZIAqBtTBFb2EUW8c20zcto6kdH01zum7v9J45aYbl49jNt W+g23sc4p5EJbeONdXJ86KfqBnYpdS444YaOYJmBYnMM2yP3idtAPddgotdDDG1frXRvstsSIUAi U9kSOERyrwM6SU+w+N4p+qhFvC/QRY2sYPzO+btXD9DVv40+mMJneEZXoQ2zozjp9oMSlXBYAh59 t3gz3z1aLHvpKSbv/GtE6Ry75V9hd/Ux9psrGeQx4EH3R79XvBYxNVk16/Ml2O7rEJlFEwHePGw+ XT7Dtio1osm4Tx7zBwPL+XdoUKdsPrf5u70zUqGIMM0KTIsC58unyhU8mZ1aWlC118FTsmMVcZca QsaacUz0UB14mBHwtmQc0i/UKDCTceCI61jzFEgPDHdlMAV/ji0yWJzZAcnBQl2RFSz6UlFgvdvV FgASxSY5O0ZiuQg5kUojvW6Op80QoGpIMiXFg9o+AuoUTgOX60sUyQ5lG6Pucxz6CH5QIMxz4XAJ bWbyzBwwbvEuj46efoDEFTPpNtvnCBKSVXkoFzpg9x15cgdca1vpuIbegDQNEfJzqVuEmXEMY6/F NAI2bKvNQ8iWTSrmvFJfUbBuA+qvMO0bn/M37RHS3oXbEX74NcM7/UBtNjGGLInQypKEMeitTmJe H4R5tzUvbHvDJaUh81guBK2AXFposDAQkuBlLVMOR8yUdo36uchYzsQe3IBovCuOBw23R5GKpLAT AqROCsDnIyJpGghwFVgqfybbKLJ4EMcyWxLDvHjhW2CrETMNYLcx0CgOU/lrsZMTb8gz7pVpAgeB wbxoA/65cgpZ0G3aZYoNKQtaSobAyVunCN8xnyz7LRH6oEQfdPDLNzFs/yX6joXHR0dsiKNQV6Pj xtChCz7JrByP+gZF//fowhaNf4a+PztuC/nwkhnSB/8K0eJ95KcPsf/sz3H17O8wuM2qBwtJMCsZ Wxa0PlORAtwvzjCbFNgeSol/1zXJrGR+jwCsdbUUJ9sCxCamI+ZzFGbapc005nao8en5p9rukUTp KYkmQDFdaPRZbZYWb6+ic6AGyWLUGrpPsNh4srpmoSSexfLKsV3YkkJDuDCL9RkQV5Jci58Zb1yR UG+IRUWao/cI5Bv25vukjjAI1oqaUrx4OLMA8Dr2Io2MFcXMLXBFsbXjVxVyxBhAqEmPyseiOEMy naCIMwRxqk378YYfI8FvPV7Y1hE8zwpksxPsrjdYy+6bLqV34UXsbhu0zQ5oSYXxuGXCrjogaIGT SYxJ1GORxegP7Do5cUTYUEjogoDto3lVZzVeOC/+TzGCXkGK974G7tTX+QhbL8EQWgabtgPDoEiu nNwTCpaVWOLShamM17xt2z0WGq29yRGpaUVrxYLdiFjCR8Db9GlKTXbNqLSH9MhyhmPUHLLdHvlE syxDuU8U1y7zNI2DtvkzOhhhWPqUsHviceK4Wo42QDKkcCSewjCGtTo7FbsxCZkYhQPHGEBBT3HH 6ORIItLs0CmqvTns1W1xyaDi6mgRAQud4PYJBm+LKJlj9t0ZhqRDUM/hbX8bYX+CLlnCCy/gVW+i bd4iE2r8yFWoWJhC0iGGLXoxoZmSnCImVaDPUPsLXVBh9EN47RTt8ACd5zZAQaKtYdJsUKPGJM/c ODh2QpYcQ96RbnAfOMkL3FkssO9qPN8usSq3IkLS3tjMVKfHxB92ji3X8Y5Ja6nbI4Q1ypM8TIsp LtZb0RtoETOLUwyHBruK4DezKynYjdXt0rZIwl93+OiQoM1zmGjU4dJEywN5TllIBa+h1XqF+fRU fmkd47yltbQAkJwM88DY4fxceVCcry0NSDgZ5U2iOFCLyk4N2NGbv+mw6YDc67DX9s3RCcYx3xGa 9+ykwxiTdIG0OEU2OUFAoTnHZ0qLqjWizHVOX3DTHeUwvo8kLWRvTMvqLL+LdLrQn9MHi1vpqNoI 60PcY1M3WK8rrHclFqm7ZwcfdUvOnLuOj/NniJiJQiNz+Que0O0u2d3CL/75Fzx+ncWKj3BdNc4k z/yYxu0AixQv8GPGnW6AFtd7At3aLRnQ7EiUbMepgudlwm6L/krynxp8te/iZQm4j1QMxDiXnqvS hXrgHaBRZkCe5MjyCZpzeq/rF+nJEs+ifIWeUYJHacGhUZH4g+EWvKhJylM2npMSsRBy/GCcFUNQ GSFODM4SzYlBAZ0ywMyuZAw4VZHVNokun7OjB5YwbC0tLeyS9VLF3itUPM0hwUO4+k/QVX8Av/PF 7+mDxrqWwWxsjx86R3IWHQKzw0otfNufofcSVCG1bTG86Akw+TGiroLf3sVQ++jDexjkNwwM1x/i +pP/A339DGkSisRYiZ9mWYdlZ6xsHQY5wfcIjzcXCgTd7UtHB7CWg7QO5TD2HVISEPsQpUL/LMZL GKGquXNpGAZM86m87kkm5ajIA49dLjsZUu925Ror8vjCCPdP38Vy8zNtenmIcMRT4g+tdcIAZdUi j1JgoADeDlLSCRS5Jd/3BHVlWj9hgiJyRjgrTnR9Lfd7iY93ZWUjnUY+ty1kF8Qu3ZFfuYXbjORN 38eCbrE8uCKjxCjOzGknY0UBThEv7iulJoiIPTr3ksMGfn2JPrEO/Es9eGAmCfLpXVMZsMBwOeFk Z0xFCmO6tNoUUUiHucVyv8aK+Z8kc5tX0C1LT8srnCdTxIy8t7j0L6xYN8ETt54avpmPsKwbEd/E 5nUeUznFti5aieB77dTDbH33VaXDR/5G1FoiFC7AROKCdiNNjSxM3MWh+VFdNelo8o2iBY30VOww POyqCnmSYcZsNaWk9NpSfvr0U62fKVORCNgLLSq8N4yM/5DIyO6NxZWdgABz3vxNi6rq4KfEbOx8 5TLA/m/zf5JHkhMzc5Qg2E/QXkWMREwFcNIrzEilpGgQtxulzJ5H7aDDm2WnwS5PNExUHwY4K34f bf0HaL0T+EErW11m8LX0zLqFEwR9hbCr0YRTdVot5vBAL/apAP0geoJu9u8R4BJhEwDnFTaPL7Gr fgLECyTFA3Gx9ld/h2bzUHa5Ct7qO2FHXE6wU9FY5yLV9k2lTS5vil1ZoiIn6Nj7FkfPJ2kqgwAF gyHqyiLZNJo5vGP0rgppWvc9fPr4QxFJyXkqGAQ6eoVTC1fStYMRaT7q8mNp9d5/8F2sri9xfnVh XmAKUeVGkWRjWu6kRtjtaTmU496d+1heX+L6msx1WrqYrxo7El5/HP2WexKXa1yu6almIcDy6hr9 5kgTkE+ENVBM55nJYWL0I/OxyH0sdy3qxgTH4vZpq2bJ4BYrZwekAf4KBkDk0Zyy+1yBeFkk/OJo GCLKaZn8eU8pK66+Rlg+onRATDfeokC1X8szbvTgUB9MepIWRAnSYo6QAm0np/uix8hit8/0m/0I LVCUgKLFnedRqAt6lmSoyC2hhsttXvgPAUVujngRUZZAt4eUXtwupmgAAwqMEc+bhj+cJydvWJ6e xES0yQvcOtin9CHSNicLYjxeXaDqOxR+pqInLR1DSbnZk1zDVl/0mdKf0zdqxLAce1fhpOzinH98 yi2UQHWTpfBnyDrZediz22KxMkN96vDs4mTgRpBmWFclqkNl9A7esP1Wflmj8Z04YI7PND15H/md /wF19YE6JI18HCOZZNzViMgNo488C/bQo+h+iIAdYPB9yVuG4icY4icINrxi9xjm/y+67Cmi9RTR 7h6wfoRpv0GhO2mN3fLnqKoaQ1Pj7iRDTg0nXSkbykMon+FIzyJNPpRZ2kjuLHKWCa/t9rIxT5ie c5sIMYHfUg8XIwmNQS5yg0Zt8/HS1+IIj55/ivVu7bq40C1gzKlBBZMbQAUjsLshYO7jkqk88PHW nbeMnEqWuBK1G/M6GzoUKflwJKoeFNXG3Eu+77xmpjktkUhYbrHaD9hsL1WKeNi2pbl9CLpT6IwV WwWPuI6Y/zsLad1Cu0Mf80mALDI9ZMftrVxbfRLIQbjN8h0P6PcreEEMr5g5/ycfQ3IXXXyKgNY4 X3F0Ei3mix5HXMy3zis6Ef7FMVQ5kcqCHDCXN38gsD+IyHK30fTLFqFvKpXh9iPk6cObu6I41FhL 6l5oESsBK+1VnE/RlvgGLwivE1eEFxdlOJMwwRk3TbyHWlsBKwaLxSHmWnoQL8egIm506NpJRjFv GvJuoIj7eVbgbDIDRRncEq7XFEqzwNlWMFG8OguSaRHZtOwOlaKcdNbL883GVBZM8XXag0IbtOn1 Q2OGy87GNkm2Tue4GOnirw+9USDIWGZgKUcg/iwWRgYouCtArgFBqnFW+jW3XhfloXgT/YgvuQeB 5yHMFG7BrVN82KHjksK7hzKxUIK0/wgeHqH3LhHEf6ZtEXZTDG0l2UWXP0NwJ0RaMhqdzznEgg6g eYrNnlqyRnbM4jYx7ab3cJJkFqIgeNIwSLpz8LVe7/cm7pbswyQngVvv06ecQQ/snrYVPxHrlsyg 0LBdvue/9c53UHV7fPKIZou8+enK6fAzjqUNwXNGyREX6mWRzIAHHhzL1bVew3fe+UA3LSPTOOyz zKcsDrJKITi9kGj8cnkhpQUZ7ex6ti2wXDXYbRl35hw8kkDXrHVFDsOUj77hUuLC+WP3Yk4h7Erp QcXEJv6tix1pF1zcsFhLa4TtlttfH1nO5cA1DrsAniK4nFLBRdCPu+lfBud5bbzWcBMISa0g/zFy 8Eh8dd82xvW+zpDhJVHzVylU/1D016/6EfLG5knPrDaeiv7tFtGnWRrNwnrU/UFYA8HszAvEU9n5 ZBYHyLLEJCyOV8XYKY6XvKktDNjwAp7qvCB5OvMOYvHgmEZPJY4KZC7zpO2qLZ4++VQ+Q6TMm6eA 2flKPkSMgdtN2RRzsyfzWYGzGgPEmrcQBxqeUZ/IS58wlT5MXsDCKIz/w8+A/CxiXQnNsW+5lhpW 49p8lwBVxKcG8B7pDLZ15P9V7j7D/OqH8N/848+dbcZ8Jp9LIWL6YWX4FjyvRug9hB/9Nbr0Am1M MmGGYf3H6PsFEP8pvGBNdyctSOpuA7+vLNXaD1WA+F4q7kopQiHOiom9HxLaWkGtVKic/IjdRRpr PU45iSLqnY0wk/r4ORM4p+0y3y92wtZ/mi0QQ1DZXTHbcE/KAjGWNLG0aI6A9Hk/UI/HuHo+z0iS lI6bP3bnUapiwTft0eNPhUednd1HURR49PSRWf7SXSIMsN8vhbnNi7kImiwnn643WJc7RLtWejxZ Y7P7dgLlccYZXVRFf3G2x7LAoaVR4GGax7g3M1Lr5YbUhw6h12GSktkVmHtD62My6TGjgV4S4nof odVG9wUrjhtLlqMz7pd7fO7Wv2EBv/Cz8dJPVPEY6X9HAz37rzIKRjuk23/tFiZ8+8+OndjrXWdu vv0fqVjxEfJmlwBVBDEC0Iw3itTGE8hWN02Mh7ID+vV4JBoM8uiRCVvM7qzBuizVsUgAy9X0GL3l 0qKtqBgDXcxyVz1oK8svsdBwa6SOLc+1kbtaPlXst1J8B3K/qAGjP7hZoFBOomglbQ+5+qajpW10 KAFiYk1bGc1CeJNGODPmE47FLEPZ01JUGwKVbRt5znLMMdEv224WOxbfibpCAtEs0A1DLjQiGhlW DhRsx+MLeCjRkwt18yk7Ep9bDvgRom6HaLiEF/01vMlHWjr4bYCwn2EofwcHvKtOzb/+7+CDqs8K yf4hQjxXx8RRlSx1Mrp9j1FifH2pPkMWXxYoyqHkuiB9rY9TpgP7Pq52ezBDt/NIhOxEIh0xJ9vw ms8TX5wOI4q3feNHZQKKFyqYz549McggitXFEOOpmHhMKEEETRt3+O8xcDdLMkwmU723vTvIeK1c Xl8Is6JlDdcyq+2VDhUeZPn0BI+7LX727Dl2FYtgh4yEXGJSx3QY5//vvOtvr7xG/38WKRZjXnPz aYw35qk6/EerErumR05mfEJLcMp/KAYnOZWbcB9lE2Gzy9FGE4TFXDioeR3cUACM3zWqIL7kXfgS A0IhEO7Px/8c7djwUkd0hMvGPxtxtaMP76vx9pf/7BYu+U0tVscQCrG1u1tjTUjAlvayoY1MMjQj GdRIlzyhqKaXK6VSguklQ7U5sQ622vQvMnDSQEgeri4WSR5QXJGbgySF11qq+OS4MAPOMC/6ku92 1rUZrGmtPIFWuiyu1iyQg/yGiFvIzlbSm8gcJ0JfdhxcX/N7zOjNLJl5Q/Om0it3kWHCeBJmqhC/ sG6FV71cN7sBSUp5cGLODgGXBSYxicIJ7s5OUDVbbWyolA9nj+Dt/xpN/4FGWGFIBIWIgzFMgG6c Oh2XCIO/RLU8RzIEaBN6APvw9t9Ge/gd6R1FAMRE/8ivq3mK5kDpVKM1N/E2FkrFnknu1Mj1kk4D 3IZy/OXYxcJecxRFhFmQI/UHXDeXzidsdHU1PEt8KLddyjjqaPymfYqNUZQ9H7YblPutulZutqQZ ZQgGdaTCBy1WTE6ywhqdZk8/n0WKU6Lholz4iLJCu5T9Bmk2xTRL0UW53A9YxB6tH+PxssKSlsN0 XvCdj5es9J2RHgsRJwBmB8ql48YaW9dKxBSiFIuc270eeRqJcvF0Y9vIaebJzpgcMAwJYhb/ir78 AfbMMIxm8Iqp5DaWxmzF6eVb/FhgvuTD+xI/40iFGFzXfyME/FzxufGa/PxoeiSvviJn8DfhESp8 0kXAmz0wt249Mi9SGKf0gNqq8aJmXbFNGEc8y84zXEBqfLqQyl20NBKlaOM+ajlVJsIyKCrnRdWO nQZdA2RFy7GmsdTipnKjiY06TWukT1nokh/lrJNJaTA/cHvObIPNriRCnhL8pJcQSamODc0ugukq CixwQL3AYzoyRGr36XogJrYA6RsshA+5sbobOYwSdSDz4g7uzt6Rvzg7T3kjPT4g7j9EV19hMUm1 sZrlCXbbDXwWNDfCknN1wAbDOkTez7E9I5h7iq75HXTDyUvjBlf/PfrkFA0mWDKmiiMsQ0hD81hn V5OMuYouMVmdpbL8mGzjoQYThQnI077ECpURg2nhYuZ4RlPxhW2N2J7H5Qeb0PaAdl9hms1x5/QM VblRh03fLxYd9lAkhHKEpGcZ3yPKTPg9qNjlmS6Uv5OJydMolT0NP2f6RQVNg9OTu8ax06i7xeVm h2erLby2w5u0+yER1txWNBKb+YHty5LEw+mMxcYMF5UNwKULeswnESZkisvKuMXVupTXFN+fWR7q nyJJsK47rHfAxTrCugrRhQWCYoYgyw1s/0dgg79QZIbbX7gFyrul0+sTbH4zitI/WLB4MnH0IiBK moONXS3mlKT4PnYuplv2O05iw7GMHbl0Ww5QZ/dCaQMpC5r46AYqX3FrmzncyQ/Q9c8079eUwHAC R1QlN4sJIGlc4KpbGk7krHJlW0NaAk/+lOkn5lypgkNvbkkYTAPYdJaQksWj4b6NooSSeU9z7c6b lB7oMivUaW2M6J44CaU+sjaxG8zkj85lwMmP2D7v9msM/mfI3ywwxJQIdfDqBer+bVE5uiTVOjoo 5mj9ubklMGqeagIylNMaYeqhzzl6ztFXf4i+f0sfTkD5kyVcODqFhyG+g/TOH2F+2GFXXqlzIN0i ZpisJULi7mSi7uqw4Zq9l1OoIt21VGiw9w7YOckNuykWbSE2GpNZmBgvRgqKG+E1wtpGMejZEQWY 56lGN0WyuZg2EeFbo43IzI4JNUmm/y08MWGHq9WM8C9ypzhC83Bh100OF4H7rmrldjrJp/h0ucbz TYmCNIdpLLNHWb4ExLciLWIIjvNzJFue9BXaL4t/x7BcZ8FNls62bLClW4gyb41YzBzCnEEVtEn2 Epxfe1jtQ2yaEK1fANMCETeVoRFOv87HVwWwh5e+b/z7oyHv7T/7Mr/3cz9//Dq+uY+QL5QXMjdp Gj98Sm2oa+Im0DIAuTkLvFSnOIsNsS11OqER/riFUfLv0IswytOVP6zqa3VFFL1yhCGfSYk2atdp 9kdblzFwwEIjKI0YKB3xOO70GivImCdWZEx0I7PKhXOc3cmnYbjCwA7MGNkaabMMURPgQOY0JT5K nbG19oh91T7HNbOWUZK082BinTDxtgNrR7UFOz8SZ9WdhBjSA4b3GlTv0R4X8LZvAdvvo+ve1SB8 Td+opMaK6+55SqgdjX5Oh6B/Dtz5IYJrDxe7HZL++wj8U/jDtWnKnLTCXmZw/N9emOn5e0kq4TmN 6Gjvw1JNzyraBnPRQGyL6392IUxdNtdQ0iwMt8spuoaJgknyzGNu31zOoTqzHjumLJOEG/qYJQTa rXrfnc+BgOk2znOe493gq8NmV8PP3ba0TLs2ojF5VbKEZgJ3GImOQVM+8vAyEkLDFA/uLlDT34ph tOzmOg93JlPM4xj3zk6w3m2wq/ZI0wSTOMP1bqWClUUGrpMTKG9/dV8mXmanrGANF1TCTpsgvlFf +B6G2K0HVJ2PfZui9XOgyBEkuTadx9y9rwm+GceyXxYPGo640+iQ++XCSF/4uy/7YX3Du7CQQCm7 AuazWWoNJwWLhF8r7cYy+8IgkfWsGZiZJs/kKwS7yQJOzEcsJMua1AZKWlh8nH7v0DtHUSMpSsdF +w+lq1BXxrGCnB2OfnvsCay60c8+DW4DOfqMGJlZwvChLDiPNAlj/HJhwPU9sS4eP7wZ7MYyES1v uMOYgCN+GUdiY0iXNLtjx8X2UVmLJOJR3GrbTn7OLBZKP4lDpO8VCD7gWjtCtPsu+v4/RR8/kH8T wd/kQN+jCHVI08ObcAABw/Ue3Wcxlp99hrqs8OCDe/Cn1+gJuu//BbqBusEbMFX/bq9RXfwNAhIV 6SPFA4fsfv4/sfctUcjeA9tMijpCXaRnrHH+2egkyvdGSgeXjM11P1+5PKAItHM0dDQAevcTiFYs XBjj+fZamkG9pXLnZOL1QSMWuxp2c6Q18L0vyGkT1cS6cSUtqQE3fExmen6I08Up0pQurj422x3+ q9NT0TE+efixqC55WuDs9ETXzGw6xQ/+9q9QtxvM2AmFhqVRccH3ggUsDnOs9zuNp3yNvPpYrPl5 lzWwr7kkGHBAhj6ZiFslXaBmzhvr4G909zHYf75qsXnV9/+6tYFf9cEduy5snmYGWnIjYp4SvEjl OEk/pJ4OjoZTOEKL41pZ3n2cRMKtRB3qSlzXW4VgKtTA69mM6eYf/atGAi5dIUxcbuJSdkcE3Oez Mzw9/8SAbWErJp7Wg/BG0yJKSKEwLyH2FxwPJC90RNNt2QpzCzJu3myoIh4nXI4yGIWQurWwSCsc gyKELvCQzqIB01O4ZaT+tKaMydwn+d5kdwrE30qN9X71e+j338PgnYm6YE+T3twZfAasHsWlXGGu cFj+FNXzH6DaPkS535jJXnKJPr/CMORA+y5Qn33+FulqVPtz1PuNc2wlubdHzI9S3KRaBZekXjoR KkVYdsBWOLjV5ejMg2CSRcgjJr7Q5qSRp3nqdJTsuAqf1iqMAbM0DW5I2Rnl+QzbpsHTq0vhQ+y8 ZP1CO2bnDsvxWz7rJMnSFZRb54bBIqZwIAF0kc9xMpm7gFKSfFOcP73CJCsRxBF21ApyAdLTernH er2UJXS132G93WC5upKe7nR2ohGSnS+xMkqhbPvta0PKc4tIV9N6cmHYkrfFoIk+Rhtk8NIpvGwG PzZpDP3TfpW37C/Cy7rdPQ2/goLyTe+sxkdInZ8eIwhNh0lTLxhG5TE1hJl3BzNTE53BjPQ0BjrB 8qbeqpgRcOXFSBqEyJ3cBDL8U+OL2buoIyPmQaBVNrUWK8Ybg5whntrb3UpcHOr0qAHkmHkYTA/H EY5SDHjOAE78MDpAejc+WYdOQaQCjQ+2NRtXwooH0+rYGQl2Hrb1Tp1lwbGIVttkyzvDPwLx8jMX 78ky/tg9dFc7+D9oJHoNhxqT2QrJ/T+SZEZWMNxYOnZ3yOfeVeh2T/H8538Cr3qIIusUFsqRibKn eAjhU3FPPrl/gd7juJbd+ri4eeuQaCSmqoCMLl9jvCLtWSykZexlo9s1DPw8GOOfBQzEs0gEbSRC 5taPPlPUCbKrOi0yUQP4HvK9yGjKqNh5KXUxS6fqTDT86CAAACAASURBVBDHePTwI/SHFtPY5DFr Zv115pjAzlmUFWovFURrSdGbqkSe8LnSiijENMsxzSaybC6rBh985/uo6xbt/gqHllbLJQb6uXcD 7k4nwg51YA4lkoSKhR6nJ5k6TF4zh1HatWXIqYftnptso1ys98B218olgqJyxBN4kxm8bAJf5FqS ki0W7pv6GL7Gke3I2XIH4tcxov4qH+PzCzk6cEwYeVK62MT+NRcGCVNJXyBnhpe1AHICkPQLsuAJ UQAIRMtexooSb2x2RuzOSL7jelpCZeeDZVs4jgEGerPwmI1xhIGjo/MG5/aoiE1Y3Ysg2GGWZwp5 oA84aQy86fdVo22kBVp6uvB16ns9qrJGFgVoWehSGw/p+yQPJ4YFcC3PWDHebAOBW57MbIk6kR7N I4yjKjeYB+Q5C90By4sNdg83yOITPHjnfQT3/ws0+QPz0WKGXltKhnMIiEdxzGxRrR8C1UPMc/54 H1FPDCdBGg3YfLSC96RAkt5HXCSIvZ+h91N0+QN04QRef8Cw/BH8YY88tbGHu1By3si43x4alG2p 12FyGEuKoR8U5VY1AXL6tsehsKhVVWO/b3F3kuPenBpCft6j55hFXGGgI0esrRqpLHmWIfF8nGQJ DrTF7gd1Zwq+ZdfdULhMrhYlXBwtbXNqwbeGUzZ9g/fuvSE+G7HAfXPAs80GePQJTvOZiioTl+Zp gSao4B8g+oH8nfQclVwCr6eUJsV6v8bF8lpsf96EHPks19STVQwXSf2QYAjm8NMZ/GICL8/hxbFc DcYa8LKJ3cuPf6xSdruQDL9AUXldZ3abc/VNLlachkY331B0ANpuMNY7VmAUDoPZ1WqhQydHpzsj eC2SJ4MOajKtzdlTeXIucpI3vNwcCIJ7LUpdsANS8r2cjxLxFCbaUpXP38NiKZM4jllpjpynbj7F z376I+volMB80PaQzOyL7VaOBCyMHAFkL0eMje1/Y2GbNhpGco4YYnYexFEYJU5SIMmL7KSccJSd QRiiiAJ01BmS1hEQeyMxlqnLPMFZFOjrxXDMHkPDUWuDOJhgmmUKf6D8xozRPLR0UXBOCvaut+i3 j+DvPsQ0GVCWJD82mE5CrKstVrsaw/UOk7TAvLjAwf+JbnIJf6ffRnz/X8KrnmO4+HeIA/pzWdYg 9ZpbetIPtcZXjnlP11u9JrlANKWKPkfzE+o+Q9oKN7jalMKx3r4zvQltkLceg0bYfUVIogxeUKgQ 8H1iN1aXO8z9XJhjeWixl0c/MCEh1VnNiLTBbm/cMhKrdAuDPExEkaBb7SyfIIoSdbT3778l6U3c NUinM0m1rtZXOD1ZqJtVx0arYqb3HCxinp7wLMoMEBX5VcRlLlBoH0OzPQIFKTwWKdq+ZFP47MwJ pLtY+q9ym34VXd5vYmfmfRO7S3nyM0iF1zjzSN3WhB3O9W4vEFxC5pheT06sqr8o62gDwWXERyoB MwLJemcCi49tSUtWI4oy61BAtYIwCfCyurHLsSBUXnhqvwkSu83jt979bYWttm0pF0rqwoiTkf3O bU8aZdi0O+zo461YeAPZszQTDYE3bxywWwm11mfB8lxW33ie8Ca3SHSgyCw1Z7WjPTKDNUNUda0R WF5aLo+Qz5eFIHbjVEmJi7CzKWZFjmkaIa4fIigfo0/vHDEssp701tF/fv0homd/irj7DEuFfxKr I+N8jbJsME1SnJ3NkaS5br7r/U7FSgZ6Vz8ELn8sGkcUWiQbXQW4lTvUwzEpRuG3FJn77G7oye5h EltUO0fctj1gW3fYUiwtlQIZ+2aQZ8GtzPUTQ0ydFoMndiSnuriu55trFEWPrMiwZ/GioFkWvcS6 bLxc7Vvcm9Jgzyx25MHPyHk/lJhclsGwYNVZMUVWFLj47FNsyhpJPFE3eL3f4G8+/jnOl1d442SB Io+xYSQ8zSXLSmaS7O7lOEp/q56jZ2hd4IGfFotiimAyRUh8irYtjLySGeOtruIr3Dc3NoW/mY/h NRjY+Oe/zmJ1+/e/6ve+qqMkRFFt18SQ3VaANsNyHeXNzR0XsQyezKFGBRYpme4poYHtOAfEwRmy WVqg3EfZcdE7iF2R2M1kRlNEG2ntzhNZoDkLltgDFglGvEu2Mp/9DHnOG4yUCCYMm9GezPf8g05G cm2MnR6iSBd48/7bEtJOuDjQLMDfF4qoGbakWdi2i2Mlu4b9YUOVnJYHFTslemV5HHGJXcnUReOt pmSZ39H9gZwlI7Ka7WyISVHo53LDWnsNppI4mQt94K0Rxj+E10Vodm/DW/0V/OqRY8iziNO1tcKh PuAkz7Xyz0lcHYF0V0QY3kAJEnlmes1y5OTN2eCc6T0VibFMdKaFMWUkB+Rxgukk1fdpM0vxrnOR 5RIiDVJMi1RyJNncib5B7lWEgieVb9Isvq6L9VKgNzvQ+lDD3/XYMlhhfhdts5XHO7u5UcK0yFw6 kYI/IuSU50iaFSp1iWMjlxcE9blpuLh8JpeH5a7BulpjvafPFXBdlhiGGE/XB0jlrPg1YpwMGA2x K0M0yrOM9ftF8OUGcpIjSibwxzBRZwttdIZbCuGvfJfhn8RjeFUW4a+RzvByovSLhFijD71YsMyQ QYoX5kLI8sXR/WUPTKEz5SjEH7iSDnoMJDu6E0YbqNFPirHjbO8tv1Lt/nW5sxb+lo80W37aktTO 4lYme4r/upEZ0JnAlO/czvVyYKAfEW9a4lW6ATxPDqX0aGJiMlfV02yKk8Vdnc6LOVX9HAnt2Wqs WK60daTb5Ww600315PIhrlafaORiGgwLCLuQ5b5RJ8CxSIwIhUpaliG7BBJqZUl+ALI4Vz7jxW6l rrDoI8x2j+CdfBceibP+Q3j5D4AuR1wSRH6I9Z4ypgaBf8B6v8e2XCGLF3rf2erS4qfsuLQwvIfk RmGExPoIyKurHbDuDtICrkqm98ifWe8pCVZpYmRMFddDi11Nexnj1tGFYZ6lmOW5/ssEZDrF8rAg 0VPu0ioKFErTAG8rugQF8sQJ2bHxuay3K7AFV/hps0ZT7QVmE/OKlWCjE848asifi2JtH4W1RSlK aiLpRhokePzsU1xtt3i6po9Vj8eX1wpYZT5f09O4kJlkplO0rtc6QOR0K2Dgq2GS4hBxKcQCRezt FsnzePn/gsXqN727+nXiVCalc6G2r/q6+x4jZPu3nhdtgYzoa0JQV6QIbRDq2fOgp2SMhcAVEQtp pDyFpmkWMjCi85aYbAEAkUvy4IrfAj2MJCgHA7HBDduwxGZSJjgymrBWrAjSDiTQtIJlp7GHR5/9 HGeLu9jVG4ljl1dXwrsI8pO9zICD7b5E5+LDA/GaAnzy8c8ECF9cTfRaSSokeVJbyOaAoDLNVxC+ h6ur51jvLi0Nkcx2RocfWlzDXFGJpylYlaOubGcsdkrCfMft4Zs4mTGKPtJszdGT1nvd5iP4hx2G eI6hnxqmE16jS1fYHdboer4ndG3dYLvbIAkLORxQqlS21AAyLt3cECYJAWHIIlpOA54lLycck7lR ZfHkCEgenKNk0E2VP4tdI7s1FiISdOPIw1zAfuhen7HW2XkRICdORyB7SXPGjhtVSy/i7yRLndbC Lm4Du4r6REpgiOvRzphgvInSzwrqJI13RykQOy15k7PzzaYI+FxpW0QTwbrCk08/wU8/fSI8k0sO Lj94QS3Xe3ThHNHiTYRF8UKXNPqOmXnXmPk8Plxi8T+dhuhX+hheRR79JX/ekVgdvyhhGr9uwxpt qw6KPJOFswPW+WeqV1FkmaJNjY7XZFWh3jPjoEOoOK5RMMlsPtINHNWKr4cETdq28caV04CCS3nj 0najlYXwvmzE71kdtrrA2f6XDU9/645GSY/uOzk52CnMG4/pRUppJrDd1rh35w38+KMLrK6X5g4h KxS7LBnuqoxCAupRhHtn38Zv/8738e/+7/8dfbfDarVGEAW4XJKGUImkyrGWr4vd2HV5gbohiZAg MQM2zGZZVjVk9rPb1OjB8ZNODgRvzUteTphBiJocJvqHJ2R5G0mRDR1pFrTP5TilMRL34ZffxRD8 CJsnF6j43LyD8LjNfoMkyJFRUB37Guv4PEiFMCKrYmLVFbHDyujdxZEt5jjUqhMzux5SNEKN7dyo zTL6ixMfImBO3pR/9EY3qxGaG5CvQlkVrV+M0v58V8mfn/iQumj+rojOD76wRAt5SLCvt8Ia04id Eg+3RJtHs4FhMQRqr9cCgdvVCadLOWNYx9cTKNcCg+Z4nQP+Seyl6SANGo2rdiCdYnYH4cmZAPJj BbplffJFBemfi9WXe/xKxkAtWVodPuPnoA3fKN524cRt1Yicy2WfHJx4fcg3jbmaLQ77PQ67LTom dDEgl/dkGCDMZWtsLHORQeWiYFkvkmmM4lnni84tmkIcKVhm0RGmMyj1lqME+VU86ZWdppuuE99n zLljN0WiKQuPvocnrm5QenonqMqttkcIE+zWG40j5mPUiSslsbLvo/CBulrjs89+LqM5UgMUmEFp jYS4nBpiLQo2DTPsaLy2UdqNjQsBtvtaBZms9ZHSTDCXerWUjo3uNOAdSZkQE6CrqtWISVsc4kUJ 7XwVTTaHd+f30cZz/ZyOwG/5fQTlE9Qff6bAU4Zx0o2AzynOIqUnX+62KiAcm/gcCoLDpAEocdvy AcngZqfIIFBiV+xIZF9NjCqOxDpf5JTrmMEh+WOyhuJ3yQ6cn6t1Y1p58DPSltUsalgYbSNsn3Wa sFvmGMY0mxZRRF0eN78e5hPq7mgIaEk6k+kCd07v4eLiMa7r2uxsWm4aI0mAlJrk9RjKvd4nKiHE hh96uSpM01SfWdH62JUMNhEpBH5aUIdx2zXFLv6v/xb758fXOWqSdlKXiLIb/qC5orKzplGBRQCy mxrzEQjT9Mx9KHc2AtLwYL9H56LcCD9FtFCnzEyMYFlLW1slDMhtDYbQGfezIjqZDrsjbQkpklWe IfEVO7lT4iACp02vx41iJQCZWjcCwLLvs5gnkTbNmo/E0Yk8khY4WZzhfHUuGgQ34bwpFeDJ81de 4z0Sz0JRt7tn2H58qRF2FGezs2MhmWSJ9IH8fSdZpp9zTUDXdQjX5QaXm0prdXZlLKQkNjL+KibP ypm/kU/EArBlYCwN8tSBmK3yjt1F10lK4k2+hWH6WxgIWrtPrvdmSJIz3PnWGyh3GbabHQ5PGGRx kJi4aq4RDTPcXUzMtseL1R2t95W6Ii4X+OfUV0rPR7Z5OMHbi/dELq2aDaZFjjQq5O+dhBaDXm7X tmAg8IwtgGsE/CzZXInvljq3CaYQr+UkweJDNjqXDxw7OS6yQyPHyjschEHNqc0MHeu677G6Ote4 mt15U2Mji5rfW5pRU3cqWHyv+bkU1OX1rXCxLblsTEAeWtQejQwNl1I31/FACjGQBziKzv/58Y0f JwcHnnMc7IhhS1/q0oM4YZWVJGqg0J9d03aPIEzR9XTT6HDYrTEcDoIP1HGJHxoiSiMTnutA95nJ yA2YM+on4M2C4BKDW4LeYnubET4TXxRsQPaxiyodY+QzmrtFEbbkxrjKWZNtrgRo0iY681pjkjI7 AHl/G9ud4yLJg9XqCjF1iPstDixCjORmO0I7GpEFnbaNJ3+9t+BMFkyJqynxMfdRjqe01+Umb18y 5MI0ZuxWaB5XdxWWm1LxVRGtTQbm9LFja/FgMUeSxCjpvx6zz7RMQuJCNPHrQ1pJ05XhgDtZrt+b 5Qt4i++hjU9egGdD/xna008QLVh5MyTnORPEsV1d62CYhmc4nRVYNzt1Mmz05g6LEuN8cA4LQ6PC lQ4B7k7O8L13fx/T6dTkQrRFZtwaiyZHxDDEdrM2zpKcX7f40cO/kKfUNCUOGCOPJsjCFGt/h0BB DiaZ4oeW0TU0JEucid7mXJnHERaiRlhikuQ32iKTTtEpmv7OnTdxeXkO9Ack6QT3Ft9BVe5RMnyW bKjoRBw6ElynctCo0HrESi2liJ+bCdc9+IfEANl/Llbf+EfvAPRjEWO3xHT1pnHEXGdT3bEZYpRd p1BdplL7uy0OtQUWN+zAdT9bpikzJCkTZLHidlfRZ5wERpCaFyK5RVL299RfWWgAv4nSDWrKpkmk k7bm0Ue6goImybExP6sn67UVMfmEmx1HGPRuA2XjziTJrZNxQRWIQ8ky2JVN8gLz03tI15dYzM/w 5PwjYS1GHuMYyd9lkc+0sjWTOhtJtcUjthZwg2edCXHj0+lcX7/cXWGa5OqQzq/WOBz2OFmcuETn BlVF6RHlPrT6TZEOxOGI7dQoyx22+0sEIf3VPRRFLOb8G9MckyzHVepjf+9DBN47aDtawxhIHYQf jmkOCMm0XvSY3cuwX27QkZsVJni2LbHcWvHk4bBPbJunAqIoNPpmWYLMPJlhmszw4Yd/KZLoSAg1 jylbiDiTUOzLA2bFHSzuPEB4+keYTd9C/fwHaMqPcGi3og3smr1CRKquVPc2K5g+bXjDJI/lAsEw EpJCE3XUoSxgeAGJeExlAlUMzQGHQ42iWGBoSFoFuqbDncXbmM/+AFmWanO52fB1tzhZnOLDT/8W Hz/+i2PqMF8H30t27hdtik5RcHZgfJXHN128+2W5SN/ox2AwyWgHbVkGFlZj8FCNarMStcinEH23 RVsznIabQAPTe7qAMINTocFkCJjYXJgnC508cyzCTAsf3tA0AKVlDOO5er/DVU1QmIb+9Mgyd1Am 53DrU9OCxWeUkuFOXItP/Ehs9Y0DU/nLiHXxGvPJzVJorvlX0SuL3Cxqz+oDL/JWm0IC3WlKvV8r asFHD39mBYnrdLpRch1OLyyKov0QRTZB3VRav7NgkqNkoRBmikeAiDMvKRnCzw6+NnDzPBPA/OyK xndrTIq5ESVVqFeoS2BymqPzDthWHKM87Grm9dWo6kv5dvn+BkVyF1FimX/nm50IlBfbAckbAeLs Jxi6qUJVw/4aXfFzDEmFsGKwKfE/WrUYFlYeVqg2BYbWl44QyFSU+JpnaWZ2yzxxBKLn0nT2fob/ +r/87/EXP/g/UTcrhX1wvOZChNjWVdlg3/GwmMPP5hiK+6gnv4fsjRPzJZu+ifKzP8XF+V/hUO2k QaQYWSnZHPdlTueLbyVzRtYkSpoorubFJ9NEO/Hoo8XPVwGojAtbX8nF4cHdd7G93mO5+gyr5UNz eHXe4iSoskOmlCtNDAZ4vl27xUeEKKJgnYz1qRFM/wmu+8at+29ckXIPFSdFALqoM4dRtSW3eFza 2Ua3vl4jnU5RLlfWiRNaIsgecRvIxoLXthlhslnif3VAuwQgS1cfO7cb4D5kS8fYeY5MHN9kQCdS pslteJJ3xCNaqBPiGLrZ1/aXKfNQjJRtDdkhpOTq1GZ+p4s8ZrYhuU22fleMFAsMsa6O9h7miZVE BqpdXTzRmv16fSn3CALgfFukT4szES+JexBg503KzZ3cJGSIbqxrdRzEVsJErGjF3fshlusNNrsd QnpyB6aFrPs1uIS4OzvDNCOWQ3kKx1qjcjBnkY1kGjNZZaFNHP+cDHKOmI/Xa2zbAaeXEfxv/wUi XpDNOwiL/4CBAHRKy2m+Hz38JwP8FQmgXOuyn95hUdzBgzMmDpnDJ19PFMSmwwypw/SQ+BlCP8Xm UOL/+vN/i15pPsZj27C9jjNk+T1k+R1ki99FPHsbHq2YiacpkOAhsv6n6MM7CN751/CCDM2z/4DV bol9ucP1hodNYA6gaSau2yRNnOWLhYooxJQMfuKI5JLLIjiU6JieZdT0SRM6hPjjf/Xf4q//5s+w Wj9GOxDPoISG9IeDcgA7BuH2IaLOSKVm4Uw/BR5mHXqNBL+YWd43tbt6VUd1HKVestpyrkm/zieH Ua/H68CM3171bdZZsUsiTsWRLaB1k3hSe6VX86IcWgtA5uFssAGX54QeTJ8s6R7DWEiHosHjGIzs MG1qRilbs03ji4U9JJenJI5EwihtdFWIqMkiqk/wnSOjXVgcyZoDT0q6O/aIuXVi/+/cPOl5pc0V eRQikFlVJJtdow3FKq3ZILPtY4FkQeGW6vT0nkz+uJEiWDyZnOCzpx+JcBp7nQzc+MEywbiRS0Mr /R5pEvLLHJwVDA3ilIdooRTsEELQ6rbEar8zoTfDBboDqsNGoyOjx++eFaibQS4T9EUXl8iNybx1 Jtkci6LQNo+0AnZD/Np1yU0GsPrREsPeQ/7+f0SafoJDcYW4yhE2icJYhxXgPR7Q1VxqEMeZS4M4 p1GcQkQDRANPFb4GGd+jbKmRaxEktGdp8GxzrY2u3B+8EEmWY754F9H0O2hn30Oa3tc8HvXXSpYx o9IOfhfD8yt4/z9zb9okSXpd6V33cI89cq2qXoBuLAQxHHJo0pg4MplmTKYv+h36d/oF0ieN2ciG Mi2USJrIIQE2gEYvtecau+8+9pz7emRkVmYt3Y0ZBaxRVZmxeLj7e997zz33nPSpZFZmn//Csslr K74uBYYiI00QAufCmGPSH1gvHghvkrSxxBmREyJr9VlNycaI/Mu15yZrNeo0v3phf/W3/85SXIki l9wGV5MtPWTeAlHAjTYxuHVSBtG4FNIw/IeqajBh/f9p8PlDZ1W3DCn+YEe19wjHRaDQBhf8DG8R bbu/B+/DEo7UdmOD6cyq7dYqRskkcgfoXlqEkACZGF4JjESpU+hJS6cRQVLT0ZZkHiLNa4ePeI9K MYjYc3NOEsBk4R8A5WAJcl7xAWE6h4ylULbJ2jt0q6ApAAhXhSZSpbXtfK3WhhhT0t1CfjiMmDDu Mu4nO2kWl6+FBoHAH0Rm0sLKFgu0oPjOlcwtpBIJSdJKm5cb21S5AGi6lWRcjRjdNAPcNoqRHDIv mWXWrbAXpHjpGl4tVoE06RG8qNYuz2xmR0cjvQ9kRs45HTU3+/UdBds+Mg6yjKYm6DZ2sdm4+3AP Dz/HbK5+e275Irejz0vrH6aWHSzdiYgAe5lbfrm05ZYZx7796PgwEDZdm14aCXGkcZgIJVYJEbqN mUV9W+UrO18tXWsd0TuucPyJ9R7/91ZMfyzd8Qb2v53bMPpby9o/s6p9Yr0WY48za+PcomRpKcLq cd/SH6c2aT6x1fPXclpeMSTO7B+lXlB1lY9SnIh5TikI1WKtZgLUBKePkPX6zktQH2sEa7le2sH0 2BbSMGPLCdrybaRNivuHxgL3FdmZSMvMiuVMHvQtCl5/D6prPiA8t/+87mcPBb3vEhC/C9HyDdmW vYW/c4K+463ViQaGX74RtNq3fKfv8uiwKEIJmVMUuxksQLnG8FjjwY1HEuSsa6YswgIql0srs8wJ vpDAKe8oxXqpxQNPenhf6Yy5XrkI15SP2q8klgAE0MEADuv4OI4zDgS8U3VAYOyDK6GsYCs3F93Z cDm9gdfI6gr1TTqIwjBcgleaTM6n30nHiNBIK1JM8ky+d4fD0Y4qALmRtKWuAY4bO50eqsRgB5fT CpgXmZDUM0vxlcqGbgKRmoXtiwoaBYUrgW9bZhJ5I/AiJ0IIgEWeNq2wqFozdkMRKcHPNKPdmh1P T6T7xHkErGdUh/f2jNK//2hwqFIN9YakT2kKK3ytbikcKZmQymuxsfWLa+uvCosPpraZtNY7HFgy M8ufbe16tVSQ/+hoJj88Pp+5P0gUSEuvqtLmuBHJ9t7Z73rQ8Qt4XVOjf0UTBGVXpZBW9bATi4NQ YM/K+JEN6mcWt2QqBLnfWxRvLKoR+XskddaUHZFh9YAZkHkR3CXPEnSl6OpI4SIdSjEUcxEyZKSM 0+FIWRW8OyYC5KjdG4lOcXVxZednr62l5MOpiLISNYjGNaeiCHcmH+UZaRia653aRY4G20BM57tB 6Vb7/KFF96GL9AMf3ykgdNnV3WB6+0m7AaCbsboAbGvA+3aQbgOec7e0fPehvJnl3ZrbE9u8MsMp iYoJR6wscydpsQMo+RiVqS1fLhREODplVGRCmt1kE7LdeJRUdkWlAft0eSF9ouzwhm6qi2+oVG9D R1H4eoClQvOpi+LJP/vJn6uLw5v8/Rd/bYvNlQeTghvQ3VMAzqVACtaEvpMIiN6ZIrhIkrYhYPjN KZ8KbxloxGScYEbQlwFELqv0oOOuIWocnQe2weYciWW4F8nAhuOpFRcvVarciIy5k6kiPNbvMNR3 /nduU+a66631FHwgp0UuRVI3tmlzqZ9W1UbkWMq8Y6R1qdvF/kZqhwXs+uBbZWtkb6mUTdF3ilNv JrDAcbD2JgMD31iEu5opHZGri9zys9bKXmTj6cCKq41kWh5PDtSwoAGBbA+lG92967y0y+VaI0UE ddxb4LxN4VP1nM8EMA9plPOBcUO/mdv25f9h9eipjUaHNpoiEzSxzH5p/fIbm1ZfC7SnVdwMGwH/ UXxu1kNxc2lXFwD3YIg+ZuVS2K4Phcw1WRSTDOBkyPSQgZL1nk5m9tnHP9GUAvQOjhf8jQBHQ+aP fvIn4lRtN24zplGpLZpUqGVU9uzVV5ZlVzsQH+UPbjGkittkKBmh/cc+9r4/KKv74s5abd/XHv69 lvg9b/qhuNAui7r5uf64LyCH0SN/jTuSi/NIih8WbMt/MMlFwgyzlQ9mXOH/JOl7W5GhG7cT5uSs cacerJcOeLNWF3OrGNaPE23UBC8WDhnxMveM6jAosYBJafhcr/VqoRtylsJwUHHVZ4m1jnoGGZZP mngk8Syv077anSu9PnSTl+u5rbOlThYYBlQBNZNrt/YSR2bAGAtAGkM6QS5EJFA/YWQZaeAnMT8G roVqAzgQwYo6lDEZzrlwqwLcykvQmpb99MjmyysRM7UXbVYaviUYkE11xjGUfpo9Up0NzkZZgqOO +wv6SIy7AGloOu4LWF+uIafxc05PYyQuPP1wMlSpKm33gatJAOAT4CStmzchgNIVbKxsa7tcoMWV OtOfhb4Lp8zw4XZcW4HSKuNAOA6tttZsYJNXsePyTAAAIABJREFUNuz1pePF6wj8fJer7dYuNs7D Wme5jhve03SAKUSi+T8UFLSpZqWNk1TBTDpSbByLL61dfGvRcGzx459YefIXKMlbFWES4XIqum9r PBEX1vYWuu3zq42tCeTBAYiABfdFf4oZTxe3lAoDOysLRJI0OEBT2jErmgxss90Gr0cPeKtNYROU SzV8GdlwBDaYiw6B+B8Zm6tsMHcKHoqeFlMUPcuq2Jrg/s1l1w0eotVdD4jdFOF94PCdaPRGBhJs 3r7T421M1iBE4IO7Dk53+MtdRQIvwW699PaflF4BP+y17p3QhmNmXKU38aB+Nwjd+rcUEz3wAXrv MjjZGoS5P67vdqMsijIvn8+tZR1yb0E/IDtKYyu3G6vDZto5Z01UtjmJHGlp5855cOpctv3v/nyw WQfWvc5lc+d1jNwIg5KirsuzOzYUsqsQxHivZM7oCCoB8I2kMwWmlBjaxBqSiFk0fekMyZiShdML yg4RuE9hfciTA8ZHcn2YGPCyGvfgRlbFjQlzG2yJUtKliQlstb2+fCm9I/2MDlRvbAM0jFYLGXni vELwcljFsyxGQ5BKUQnaY0zELybCbQnsao3Z5Ha9XNhmu7IBCpOM83DiK7KrAxujAhB71xMTCNj1 0wEKAGbrKzSx3HWlBFiWXyNgfGxtVknskOswxvgUEiUKE00rSy1ex/uSpQEc4q5Mx/Knp8c26iP3 nISRoa09vT6zLKMT6tZaANEcA0EEOofUIySzjHRLaoejiTSgWkDxpG8Ho42sxvLq2jbXA2uPD6yB btJ/YmaPtcDitrC+LNZ+JbZwu5xZc/ZCDjOSCKL0xrEItnyb2iSl/HO2MmJ4YA0Emulooqz08cnn +n7z5Zltthe23K7U9eVGJsANFz01RTYZxFd3zkGlgvPiRELGtWI7HMGL43XcFuzErgDid+ydqZw7 6nkPZUhvPvddXsbfI1jtQ1P7pZyydMdffLndUAA6XDTssLv3kFtzGAQWZoNkDw0WFnTo4DVsIjlr zLEguWaH4KDzqmPoMhVPrGopepBUONXbGzF08tiQMwWiMtvKHLYIozHM7nGNFNiCASQbsSqZfl+d cGQfYxl7OEAv9ZYwr6pP0dyxVzseZykPfSaXDJrMexeQUYPBeT1wJ5EB97Gdm2YFMIk7sGsro0jD UQa5bgBPHJnduVlBC/wGDz0CDJLBUA34UJVoBInSxqO+of1JwODG5eQAqmrYtvLhZ2SLfawlWEMB eM+O7WA8E+BujPTVaHAz6zYMILcPZ2twKEgrM5gLQAxjHgYRYnVkbjQLAOMdrG/t/PrKsnrlelGq p/2uGg5ndjQbC/yl1NvUmebfkmZg/Wli26CZTtyWMkJOM8JLl6MBGFZil+tc5S5ONFJ8KBhLaVT6 5lFrM2ys6Dci65JE9snsyD45PJEXIhr1bVtoPAiJYnl+aEg8tkma2ikKpmR2sPbxMKSBIVMQz2h5 LqKLm2ItF2iOgex2vXhuvaf/1qKP/jurJx9Zr8ltWH+rzmPZ/tjadi7CbbsGG1CurLYzlQcEXM4P 521b4kTkEkDKctPEDka+cR2ND+zzT39mV9ev7NnLayubTBntttgoMA17XH8wq8bmW1Rl4cl5BEFt QhIzkI/pyNa1HQzHClbqPrcEe1cDvS9GvM+Yzg043+E7D5R038XQocugUOzobLVCRqWPIWAj4xzu 7Z1pCiVPp3oSrMZiDQz4eBo/l89AWKA+DEzpVVgSOu5E9RYME5ei0cjqIgtWlUgL+TlWFw6qATgS QY1qZjO3KMb1yTcKl2ypXQFhvXTVBNy6mXLJc+nfI+dDli2xgi5DZ8wrofPnJE6RvjVPHAJWAMs7 yCaCW6d16CwC6Q6H2WR9/zDW15XOkg8iNhRbYWestZtrekP/SACkhcEEp19lOQFQZ5cn0Cw3Gy1s DgqQleNi3g3uzEDvRSvTdxP9P+oGQS6XyKisDc3xwkXokFEGU5Lq5PQwcEB8h0l7yPAubbVauDce ORdZAuVpzztWAMBny2stKIn51T2VLeBCBLpJOrKXi3PNrYnjUpll+UqzbWwcgOsMDbMY6Tzi9gL1 YThMbF7m9uJqLnCb7ydlUbTBc3CD2I6nQzufb8T8RjKHQEUDAqCf8STOAXy1J+ORXa0z+/jgwB4d Tu1wOLRlkVnaA5viQqf2yfGJvVxvbZ6ttNucTMd2NCGQkl35hkCZyPdsIc8WlQ3SxnoA9MqIa5vB mUrx3mPcurDq/K9se/WVDf/5/2jN6JGVvQNL7aXF7cDq/M/N4qVF1e9A/CRBg5EEyhdp4OARqCDP ylTVejYJ9wTngjnHpsnt+csvfJA73ygzhubAsHhebW1bR5JgdqcevB5doJFzxN+ZnABb5DM30EzY eePU5mvwQLhjt/Gr9+3qPWgO+gNRI/a7fR6IwhgKN1SIZAoGXcm3CzyMrnAO/HXALKoytEuFEioo 2yrgaCbW8STv2LIRwnvK/N/BAbzKvESjI+eGMAwd59KUa/suzY3vAKzzOuf+ynWtydIo+ciixCJA 2jpwr1IIzJCHUzdpkUN6F3SRCgKfVjYVzkm3F+jahKCqrqIHYkmny0WdLN9lkiQmEMZ5VHZCXbAB WY8Sn3q7ssVyIalwOF7+PXyOmOCY0MErzB2QhdJT86Jx3vNITWsdrEMyMYzjoKvM3BcmBdSufZ/o Z0ofPlXXWSNAEpSkJgrg3tYyu1SnlAAZx3Z4eGQHR8f27NlXbr2FbX0a23g4s/5wat+++ErRnErC Zxbhf2VieFPGRsK2KGnYQVIry8aquLDrPLP59Tz43vka4HzCa/OmVADijcyMxYn0MJ3CWuUhbjvk bpAYySjJiplfLOLWvnx9JQznaDKwdbHWfCTUBTA98CZKcW5iZjOLrLQfPzrWCA9ZBCMsh/3UEiuU rZzlW1uWzl9hdzkYoaXO+wx17GSUcJgwhHi1WllJIDymrOYGdpnnrAIf22rWcYqhhsW2zc+tPPt7 G3z+31jUe2Ht4AvvGG8+t3b8G2uev3YHbhoecaqMN43c/AOskhtjNj6wdLO18XAk6gKY0+jwyNLB wH779AuNXwGwy/CizHXOERVkq2IBCssEBwwdRwn5yfLLrb4pUTSWoXlS94lk6csl+j2D0X/Wh3bn WqWVxlKCZ8Htrptrp+1SPHeR9Z8JlKtUahGkYH132JBwcoITqS9Dw0ktPCli1hLy7XBsZV44PoXA OPgW6r4qsFuVeJQqDKgjl8FrCiPAZVrDWn84kg9ugpWkNUXgdOpRV6IquQllpxiPYVTOe2ou1rcr czVN43plDpL7v93KNMwcdpmmjsMFMltkx68vZN0mgJkA3mdwPzxPgd4/I+FA+VD4V5R8ZDN0f5Q9 cFK8FFULnx0FCgA3K5wbqWMSUITZxBYlHqBckYHAxXhPT1pLsvcSYO6qpQnvY7GdvXpumYYhnbSW Zdhr1dLEkbwyF61CSiW2VtgZjsCA8wRllzyRro5cezjxrV2srtXZkt74cGZ1tTREPDnXw/7MS5gy t201V8380dEjuenMCSDrXJkFQdtHBvq+oyaRGP/q+vYru1pfWRKPvf42SjfImc5Sngz69npFBtq3 R7ODIC2NMYXrXMELa8vWrpZzq/IrZX1x/8TKFgeaXP9GT/14OBD+NxrP7OPZqS3WczvfzPU9tDtp hMkJeKTw6Flp0ZONvf6/bXwSW/TxKznGWLyyaPDCehcTizcOoq8oJRRc2Jz6Np76rOVqvbbjw0e2 6S3tk8cf2ZPTT+zXX/4H27z+VhjdJlu4hDM3tFQmnEtFRkUQZRqAjYeGh2RwMDBlxw3WanQEl+ut TeHroLmGPb1uDBbPPbHhO2RWHxR73kLq3GVV+8FI/LJaAUBSKQSdQNRVydd1MBXUYG2XAbNy6kvH e/JRFLqsbtorhjjOUkJp4DkWlo4n1ta5y7EUWMptreCeJJsa+NSFFA7CuSCjaoMxi/AomQw7qBKn Q22AKB84B8qFEL1b6MlGx7/bdTqYtuDdxHfcoWBevgZWfufNsFN+lVIJOLOitJO7d9loUBTV8/xP uo9UX/o5WRVGuukwNG68Y6o1iOLoOErsSqMoQbZUN6G7/hKENFAsuwfE4kjf0Q0HRKfODManuB5z AtpKFumSowmzZiwkFp0InNhBkQJGPZtMJjYYTWyxvFYGR4YlWj6mC4ulpZkPSzquousuNjvvxUO7 EeUxgUTEM7KgVN04yj8HOhkBYseaWFmvrdebanFyAtxYFMuyqfhZvCsLTCJ5GbmXZ4qCU9C+KnKV PQXSJy0KBFxrOmpBR6uqbNJH5TOyDfdsWQtPc72wRC43WEpJ254mQlnboGGUaSazeDYC3p+Ati5z LfzGUpXg4ENxNLQVJgs5fDJnAyNAqBEZ6U6hhEA3F8G+0gZ2be2rv7U2/QurB/+Vxelzi+J/snb+ zFKEFwnIEJO5PjD3e0NlcDRfCD4X569EV5lMpvb85e+tKVYitK5xSZbhBwTQgXOwmsaORhO73myD 8YTZfJ2Luc5yoJTXhiaSLLwcOHbI/OB5yY3Nz/u2xYRSN/R/2hnCtwWrN4JlV/qJHwX736cqmBTx uRPHdbsFLbyI7AjcUcB5h2t59qGMJxj7giviJu78TH8e+CWBbD8zqQiUlHTElbDR+2cKrfdNhPdG P6oHTSTcpwRNqEjBJKXLingIvCcoBVztpnFxc01uG1l09KjuHPl38WAcZJDJ3rr2rvDw4IW4/x4w 4ZPYZumhX/bwPP1egH1rm+4aNI0llDxp+LLOjTI7HONIQ3ZTKNXtqUV7I2nM4iDj4kaky8cH0oqm 7HOcIgBpYWiZgAIhQlmWwDWe64Jyei8WddRhAGbDwcCOTx5Z8fqZHY6mkilB/WEyHtv18spGw6ku SLZZqqyUBk9V2MH0wK4WlzbsP7LDKbrg1zYYTyTdnKNd3mPkBM2stY1HM9vmIzscT212cGRPz57a 8exYHLCLiyubTadSwOR7gdWMGCUZTuz8+sxG4x+pbCqyrR3NDjVozSI8PTq1Al2fwUil1IuLVzav Ynt8dGwXy6Udzg7kLbgFnB8f2EeWoFRlbdK35XJhg+HMJVbKzA4PjwPtw9vG12B6ac8+Onls683S hsORzWC8Y3wBwF9kcuf+ePzY5su5SuBJlFh+fmXJoytL66kVlzMbZj0587BIOI/r7dImycBm4xNb XJ3ZNBnaaDrRlAAe9b/58h9t2sfgwk1IuJ5SIoUIKEpLz1bbUpntOE0k6bzAA17kW7/R5MgTdOdV MWA5Np1qA9pmAK6Mg6XagHbr4067/n2DzA/FWr9P78kzkXoPq+lZixGxPDtvHkoStZhdwdZNEl0i xcss/7vemyCh7AXvBLJ0DzoEd/GVyIDUQPPeH1MACn6Ub3CgIjcX3u3Q6sL1bkZigs2eUwRca6zr MoZvuqM7qLQNfCkFrj296Y4kSizoykDhUN31UpzyDDr0JW54VN1EoIKidsmd5Z+aEQLh3bgEUrqy VJWQb8rwJ2RQ7H4w2FUS0jrEIFNR3V/ktAj3uZO1khQyU2VXvDcsbAGKwQZMfnmUa+JkARSCc5H6 +s0KdRQ9q6PoRKmpG6s62C+D1jyzxXLuDGi6HojKJfBzUt34g5SWPiDZRqUpwQgbK7Sdy6LR72fT meX1RlLGj45O1TLH6hxdddr4o8FYvnboPzEeQ5BlgLdk7q/FaHSgTg6zkbTox4OxDXEIlizxVDV1 01ISIIBY2KPjR3ZwcGrQXykPV0Um5QtuEL4TuB840CbDXbtnLfZjnAnY7oOxLRYLl35Gbqd2gJPu I8466EstYBzHPTs+OPIsEwWFlC5nLrfqvDXbkNVB8qOB0ocbVdn87O8sWTx3Y9PthR0ejIO2fmTD 8Vjg+dH4ROeVTLOfjqyHL+FopGMswRQo9cFb2O0YOBcQ6IJ/ZHrQN67XK/HHINluc8QFoTF4d4js XeWDuHHMcnh21xEFmwajXSaQ0MHiDtrnEj0ccL5v0HpjnOfOCrn5fTDyhKKizDwsfkmjEIhpw3sA k35Tx8bvMqVAZhYtQGYrXo4Jy9J7+WLWd5ccuHt8CmjWIH8IOBHxMrGILAwSsAvZqXRSVrR7ny6K 8HfWa9cYCIEtNARuUtnggs761SK9IanuXwB/dhhb60pGuweADwGqy7h29JSgxS+cvAtuOj3SKgqU kADeK9tqbUVpxfEHekUC+Eypx8sJPADnZc85VGREKGPCuWLhqs4WK9o7f7TERYHo5hBDhJe8jMpC yiB/bx985PXOXCeT2W43UgvgczTkE1qi2JRnF7j4NrbdrDX6Q1YBoCszBs0ZRnZ6MLZ6s1UqjZzq sxdXti2uLYpnluXoS0U2X1xZlq1tMJjaxcVLHR8Lbrlaaji3rrdyCaL58PrspZWVs3XPL8/t40ef aufL88y22do7X7jGbF/qhMIRu8a0tG1s09/a09XXeu0oiu3V6+fCAZNiZZdXtWWN2cX8Wq39vFjZ cru0p/O5vbpeWHv2Spyk7WZuTenZ5/MLzEMp12orLi8kkaysMseXMbfseu5dVWzPaE8LG6ttvV0r G5KN1mopxdDm+lw38WTQs6vG6SKUYlfXv9fx9g05G2cqV+AEiAAWGylmHDKp0GfWMFOjmbXAZkT2 vWYeLAi0gVOCaX12eqyO8tliJf9DqAsELG9lM1Pmi13D6gTywcgWeWpbG1s0OhL7eUeufEeAuS9L et8Zwf3XeDlGpfCmSsSuLAyaT8KSQvDY0SwArauGUVZ1PMU/6mqmMI4mG7IAM3irbfdb7xx2xhoK UsHJqsti9qka8U3G4xXbjQxL+LBdmtpVdbvKT8Hk5rhvSt4QtMKh7ZNbPdB2z78JWm8SX7tjDC5Y u2GjLjvtKBJ+I7BB6tyHY9iB8sGLk5+t1Xmk5O0uVG0JmY/SscgVQqXM2XayxCapGNqcw5Frjnd8 J7IOGQ+w6FXOuVUXB0yA46S4jrhHUu8ecHMwVjKyxycf22q9cGB/d/OFtmcHXuokUky6g4/X15Sm rRiylCeMKkETWFtl2+ra6nasgMRicD4WjYHc4ornry1NyTCceMpnYnMOvDTC3JoyavBYi5+u2U8+ /YnN19f29OKFxk6wRu+GlD9+9CN7fPrEzi6e60rKA7F1V+Lhdm1PTj6yR6cf2ceTkV1enTv3CPt4 gntkYrdfrJfKokAnTx5PxNfiO5EWq9TWDu4bAWUaMs1cFdEtqqCx37gbNU0JV2x0zJBdVZs7WU0P yzZX2sBIlUBHFrfMapsMUrH4VznjSqUcsdFpL8tMssv96VBg/uUms8MhmAggOZmhZ9qjwZFVZSvS q65RnYp+Me2fWJ7N9XzGocjoaE+DDjLjyb1BRlgnqa2bkbWTU+sNcT3qvdVe/aGgc/fnH0JncGlf qCOBZd0twq77FQDjDlCXxDUbsHccfPKCc08HkEy/W+zd60PW44cUSp5dAOoaDXuBZp+Quh88zDOo W1hS97yQHXZcQ/+8ECgC0/w+7ll3TP7x3TH6LzoISBVleI5b890m7t4912SE6pYHRntgqSk2dIFT zUfh5bWtcW9CwnJ3vvdGc3bHHWYJNfsXsJLgPChQVdZWlD+Bii+ZFQ1G+9wcz4WRzcKRd14Uhob9 iB08Vy0aWp2QUpPUDmeP9D6vLl6Kia5Olz6HEsbnmjwae3t1dxIEFjIq5PR+zsh6wzDwUtLCdP2a aOp6PoGo5m1iT4UPD07t4uLpTvudTQ0HHTBLjRLaRJ0eSmRrEvv55z/17Gq7sZODE7u8uvS2sSgQ fXvy6CO7vH5t51dnynImGEVgg4Vetdp+sfTWX5dL0RIOcDS+uhKNgpL4eo3ESmyVPAkJrs44d4+i sEgCGEoQQdoZPhzgvSSmtUv5jSQWcNh9G2SNe6k2Bc5Jh472+5QWqcZfyBLzBrpKKZ9AVCHZCLJs JRjkYn6hTidl/7LMbSW2dCsQHbIt7yi36KhnT45/ZCeHT6wocwXMPFvZ+fxb++Uf/Yn9aOvzpSoH I/Cqjb04+8J6/djON4U4Q3kVW5mMrTfCeCSQEB9YCHeDzA/5UNkE077r9nVlk2g+bpgQWqJ+b5YU 9B0WQ0By/TjPFLy71RGr1SlT6eZ/D6s6LESvSu4bkO7Owb5SRdSB4nu/9/LzzSC2y4f2z9Wd7PQm i/PnC5u7efINIyMEq/3M6t7rE+4375Le4GM7Rj//F7Ko3ecgkR7+vEnPWKRe8nabBr9IfI4skalm xbyfdhMPIlrwlH/oWNXouLOkfexFw7JRK/eVqKDMcq9Blg4BzG3W+UyAd9jcPggNvnN++UpT/zL7 DB1IKTSIzQ7u1R0zmZJjJNpAAvbSsWDZjcFRyGoIPAwEC1TPSnUBtUOgMZ4k9vrsmThglHVNC18o lMbRRMF5GPWtN0xssd7aZDixzXZhv/ndmdRBjx59ZEeHJzYZH9i3L74RSRVM6NnzrzxIA6YKT3LU WMoO5dayxWtLRxN7/NFP7eLima2zlfX7EEL9ghyiw97CjXGJGSnGcB7p+KkEd/ciJHNqTWT4yIsy ZXV1PasSnhfj2g25l6vkpraUefNsLS4ZNImySu3sIrc2gbRb2UyM5sZWq3PX/ILHFddWlms7fPyR VZSFm7XKPZosfEdwrmUF9cMNVs8vvrEmX4hj9vLqWsfHDvv3X/yt8BA2PFe/cGv67dbNMZmFrCNK z8ai6YjxhrAYglbSPYvhbQHs+xNEW8tXS13LdDgUtqo1BKAeSI0d4VGzc0k/8J3IuIk/Xs51EVdH E+RW/F71b6ZBYP/BrU9/V5PBj9B25+atzYJu7rgzeqFsJGPvIKx7Cu4uK73ZMDyr8cSt3d2LUiru nvvQcQQAfveP/Y/blaNd9RUClYyZg2pw+LQu63Og3oNZcoUIFwqPUpL04WFa+nKCRtY4EAMdkPN0 VEA6N13U2iDq2xTrdCJGQzlI94wuoi9k8A5wsV/89I9tMhrZ73//hQ16ANOJbcQtcfxKXQhOLp+j krOzB/KulMYNRCxMbTIaKJBQEpHNyEgjZmQHAD8ABOHGr8u1RcmJ9Qcub5NXUAQmyiDSGE14JvOQ ahnKeOJw9tj++Gc/t6ff/JMWHBf666dgPbH0zzWjmK3s17/6G4VNsLRB5IGEjueo1xdp8mAwsFmK i41bHB09+amy0bZc609YaOBMESYZEszzi4V6AhI4qFHoWjNegQqnbUXyJLvLS8T4OCc4EQ1ddpn5 LwDuqhS9Q4YRAotN2Rl6YfOrra3r2qYDE8eLoFtFlR1OR7KpT9SxbWyJ3tfluTwUUcCA6sAxHrAh WKvhaz4LWgPUhNmwtBaD22hu6xKwPbYKD0NNT3Bu6BxHViwubQUlqT+wUa9n14vC2ggNLdca+89F DyWYJKORAPNis7LV2UvrD4bW43tyXbjnJe0DqTaMeEWt9RFxZEBY42Pc77hOh45gKGM6AHzXZQyt e33uftl4T9a4j9F1waEOeLEy1/3A9saA915mFjIoTxpvZ1i7YwsZpTPbff13FAQFuY6dvvd67wyG 97iVxL2ZJb6hFBHW+yYosITfdF/m1vfY/U7E0aq1rPbWaBp7GcC4zbrYGqOx7AOiL3AzB597Lhja 7Mc40MCNoNwD3+J2DnNCKHMSUAgbh7Opsoavvv5SkdW7cmAAZDjBQkzlpkde5pDk5KKP24VkLWos ztWJAmMRWOclH0+9Xm9d1rmljGIHzy1NZjYZT204OrTry29tgNlpoGzoY+PU/vRf/IU9f/o7++PP /ku7unxpz775jYisW+lUVc4YptZeQ5h0nI/jn06G4pTF6mo0BoUUPhXfH2PVqDewbH1lZ6+/sePH n6uT+M2za8uaRgPmUDVgtR8Pp3bQn9o8X0vsD8yKRQBXy6G/yKkT4EFScxjrupD50A1lsX9z/lrm sGwyRdbKoZkOKPZaEi1s0cyPbWI9GyWx9ftIujg7mkHuR7PHdnnxynKcdura5qvFTv+Iu4ApBUpI wFJ0yPqqRxmrcD1+SkVKXFolzG3OhhMFXn7Oa7IIUnJs/SHXK7aCTXKEVPLYxd4CmPxDPN6l+3T3 0WVNUR/Zk0NBD8Vibvl6o6H5GFZ4PxWeK7Z4YIerQgQnVTc06C/tZFQCWH33Y7usYT/Tua9/f88x tvcEsF152Inc3WD9N989QCwuTfyw9PQue1MwvN35u2kg7DU4Orxq/yP3MrD7ytebD/LSWi+gQrjV kgzD08LNbvArdQkHIlb6bBM6V3CaZpOhjCLIbMS9kEeh75QYZKq8pHSxxrMkYWM9zQVCiajbKysb 1wF/dPzYDmeH9sWXv9JrOKlF4HJAiiRr0828u8m8RQsJVXQLgH3KVs2yITKX2MUKoJxi0tNKFrdo /pph9JKSgWg1DCJmk2LJoExHxwLoyRhQmu6z8OORXV09s7OL15bEA1dbpV0fR7ZEm56MYohuda0B YV6/ElO8Z6PhxD598hlpnL28eGVtvdYxQCCVGL/MQlMFvxcvv5ZG9boxy/PSJjjERDDkB/bo8MSO pgd2rblO76RS8nW4ApdOqhUIBG6RmBnadIzFWGPbbCvjWXHnGjfuSMdB8sN6mvVbF1hqAX6nEkgc o87A9UFJNUksX61t2UTK3CQxJJOAobSp4qK2YZ/c2+VBsOG6Qt2iLGzAXGSvLxekF1fXVkq91jW7 GaGSXHYPZdE+ukJ2nVfWRxZ5MLCXFVnx0No+uKPPD3oH6/18cu7bxbsFdV+Z8v7dw9jS0VQjN0WW qRR093KCGfcBIzM+4NwtyDiFjuG6UA7h7AXMXZt/jxTrBxyizO1M5+4xP3CQpoAZ+ExdkOlgk+7t d3SC3bnteE+3s50uJHRSON173gpC3fntcKn913eB8g7mdjeLu/2ZXTMhsNn3Au+tI+9SQ8kto0O3 xzqlHCBI5FmuURXeQo6/YT6Qi8O/yXRkVbVMAAAgAElEQVTIEpBhoOtHfjEdH9rx8UeaMD+Qm3Jt 4/FEtISvn/7OCaXgYBqj2ctggzGFiHKB2cu/tVAZME4Sgc7dQcrJBqmLIJkBZc8DtR9j97ZZjkRG o6CELtbx4akVm2t9B8pUTEQ//eQnEg78+sW31pQMMq9skeVy6vHy08lsQ+gEQU6ZBbjtUcoAUm/s 7PUz3SRQIyCgRm0pkqnsr/KNNTEZaM/6UWvD0VQa8BGKqNAD4PQwtEpnD4Yy+vlwqhD4T8c2GB1Y RWeyyS2O+zYh2F++1rGBkz06eGxVPLXB7NB+dpJYtbkwi1wq6Gq11AiQdqVef9dpnQHMowLQMxFG 6UL2U7wI+3a9eqEgCAEYORpDyRQVUTYnZpikkxTZKss8mUjI5HK72qzk/9jdtEw7+LVtLKOpQMmH H+F0aOl4ak/rUlytQTu1XjL2TtkeKPtdSsP3AeHfhhPdLa8YDemjBILs0XItDwJoD+I8BQ6VGkTx zSa7f//dLPYQvPbi1Q7Q35NP+bAva87vCgtpjzq1/xVuA+xBeeG+MrILZjfdyPC67vj3ztF+9nQz qnQ7+3rbtnD783cfsptX9NZ292dj09hs1ZRmFYKB0kpzAwFN1uNbgrNvOL8ArIty4+B76CAyJN1L 0a3CGMFJopQlgOlfffsbOz1+JAVRkHg4UJfzq52hhQcnpzzwblxkPz5KrpvdppO2YDFpmJMgGUXS imIR9mWSyo4ixXRxlCh7ZLYIMIjUC5lKAs7jFmPYy282DOKSQR5JhfPy8qUY8nXe2mg0EN8q2pur RJGB8yGyLFLJECqD4JgGoMdHCkZ01ZjPenT62Cxfa5aLDEPdMXhseAiGucjRYGoHI0irmc4pTs2U glf50oqKktZPw2DyY0uf/BtrBqfW5FdyusGl+Wj8pdWLL0SEPT74xMrZT60ajnzGEfwPAwplsK4i WiMFxHlCsyxprS/g1flbGmYHEqBpESHeiKku4nmkSaUlmE7EA3VN2xrsr1a2uc1jBSq19gNRWGWr MLNgdktDgPYIon5YuqUjGx8c23ld2TxDohpVgRlyAXfX4h/88VCwUnag7J6sieYI0ATiiblm9JiF lIksnWrNPruIYZjB2ZVeHU3glmhfd8/veEp+XTos6m1s/jcyLwujP92bBlHLXfALN9E+1rXLpAKR VXp5e98/TKXuqAu7BLHjbXUY81uoJN13ve+Y37gGARsTncGn3veIXiFgFZmtgB7QZkNrb4hEeRIb XhJd14I0Xk2nwJPghlN/g3s48FX8d5Fs5QkEzLAhhvfq/KW9OHuu8owyCC0oFr4foYP2eq3SWQ9W PPQZtIFLDzAoUpKROdjuFlCUg2BpKJdKoBDcCv13ZRA+4ygZGMBRUS88YoMxQQPYbleSiMFCi7GX 7WYrCRuMUgmmfJ66abhGw9ESH4PSzG8+LMz4HwGT4wWjgjqgGT5pGTU2v3otO/ePnvzYXp4/t2FU WxWcY7jBx+OppSMUElpJ36T9iRWvvpFwIp1OjlPjEVz8ArPZ2KLhE2vHn3oa3rY2PvyFtVefW7r+ dVDmXEp+hCMYprFt141tsszKMlL5LG4XmVzPsUZoH1xRMkBtBnVty+0a22tdb4T6KH/BwMbx2ApL 7LLaWtIiWAi4zjCvB0S6wahUiP/Vtb4l4BhpFpLOWd32rRmObZUO7OkK/S7ujb71ekfWG+A/+N3s vH7ohwerIByn+T0fwZHWOKa3NHiwnuLscW+J1U6goAPHO+zJFYeyZj8TuVVifUCJej91wG5IpOHf 97bi3vqed+Sl78Bot8rBvZ89FFx3Qf8Dv4u4V7sUsQt6IUoKStj6fOZgYpYC2TBKAB6ERjoeeLje DJhn83Z6B6mJ5MVF4IshEJ8k9vjksQZ5mbZ2mZee5cWNVb3vMr4I5UbT9VVDirVru9KlgZMkGWNs uaBCUIr6LB/vK4uovJB2ldNbCIaeNorAR6dO2kthlwndGaRi0vTYjg8+ku5OUa7t4uqVupid8mnX hmUxy8Qigppxw8Bl5ETHDs8KlcQ2spPDU+FUl/MLdcMQHaTrKGVHjcb0LWoLEWP57pnFtrx4KZ7S FA0vDBgas4PZscagVttzZW0S36e7un1h1Yt/Z/380tJH/9LadOa7XDqz3smfCpwvtl/asFpb05tY 2Y9sFFQcrpcrYwBNZEjdJFzboIsdNlI4cgpgaJylBPFTe/nqmx1JkDJ6NvpUPx9fX2hcZ8i1aRtb LM7s5flXgR6RiE9HiczxkVnRGGEomHurTIe2jHp2hcnrlnK0b4PBsfVHx+6O8x1Tqvchlr7voulE 7STRAoWEdFUdnxuQXJlKIJB6589pDL4mOpC4A4/eLD3fVfbdF8AepDe0ATe61U3rgs6uHajHPujt WHcgrnZl5TvP456D1J1s9KFje5/H7nlsWHFsY7TpbijtN2keGl2D8Q1xNK+D3buUJJAaAazFsYVZ Qg8k0g4H35JZKqMrkX388We2XK/k+MtbIZwn9wsdTfAp1IJxlQdSYbInnkDL3f3JwM184Fq4gDSv /MZw1UQ/fEkvBzVMROa6dBsqg9tgeenB31UsBjsxDVuTXSEbs7oW5lYUa2UK0v1hVhAlUaRn0kRd LsYrKBspb1S/A5LDUC8raZJLH0tlZiLmOTgUwYly8XB8oEV9df5cOdXRo48tXV/bajW3OBmr+wpF pBJA21h5fWZPjp9IOA1NewIV85JkLHRpm/XvbZudm1UrS3/0P1jL2AenN+5bNf2Zbdvcevk31qtf i+E/x8osDM0KhcOKrQHlQ/PL7bmgRtCwACdrZLfV1wxnnnG7YL/mrXvRLCQxtLXD4aED95TImhRY BsKpkwBVKvYHkhvCgoyPrrke6dAWUWSXWWllAeA/scHgwPqjA3dYeY9g9SYuEkqq78C7uttl02KU mkLhOuZSU3DlBDG9g4KBSKWBWCqrKq2pMGqmO3svdHwgHvVd+WPtPdjXDofq6AvhPGmthb/vzsF+ CuU/8X91pPc9eGq/2fmuAPwGfeEBjK4LuBOSANEbdoh/oNOHgNURR8M4UKIum246dsdIOyP29DsH aL3AR3eklyOj1b4W9fkFVk6l/j6hRS7FBgeR3Thzd3QuHxu+gCb+pbMVJDiYK6XUFP+K15F4OxlV 3cgQMD1x8uDHlyXz4v3Y5fe5L917suhGI/SoC7u8eqVFC07Ec8qCjA55FwadcaiOrM4qOx2P7fV2 pXdBOoUykPIIr8V1jgww9mFTtbvPri7DgDiKnKmN0pG0yzGroMu5Xl9r920gcC7n4qsxHUBwzNHF nkyx4bHL67MQkPkOzgkDJ2GkqGzWVpz9jfUP/8Tag5+HW6u0Yf3SBnZlgwSJk2vLzl7ZeoWuWGEV 85C7sTMaKaGpAndOSgA3d6OkqyEVimvnLkCDaGB/9sf/yubzM3tx8Sur4okt8kI3FqNAUYvyKdI3 DKJHNhwObVaWlq2WlgGQcr9AMOW7IR5XwjM7VFaF0+/Ohv6+hfgAjhU64a6z9j34D8J+woIAl5Ir THCn2S3dsJmq+wxxlCBGM4hNlPtsJ2d8B7h+Wzb0BzCGbe8LBrtre/Mjjbuxzu94HO7h8t2Z8Thx Bxfff+xTFd5HQ+zh4+yCamvShsH8pdsYwoZxA6TdvDaBbEkziYyCjEajI6GlzoIFMJIuVEgvyYiY 6H98/MhevvhWQLJ26GrlnTs8/tykyEd5pLvkIUZgcCDQSRZIioPO3epAeKk5iDwKZuXl5P51pmvo z3NBe6yyyEgKFh4KoYyMkGIO+tbGlY3R7yprYXMA3G1ME8FMtKboQDQFaUoRjPlP0wCR1UVlvYYA 3YjkKoEc3K77SOoU9vXzp5bnyAPHwr3IVAgMKymZuoYYmR0KrZPDj+zJsLT55XPZwWv4s6zs+OiJ Xa/mVte51Cg2HF+d26Q3tqPRgZ0tr6yviYO1bb/5X2z48b+x5PCPHbda/5MV1881E6lh5oKGQSUM DwxQZbmyT5okLjYN4FqgFx3mzDTo3hSW9od2gmDfhkHu1g4GZJ1wrBjHaixrcylLoM+/5MS1bpZL vqcgjB4a6h0ZChWZzC3q3thW0mon+yWrOrWkT0fwXRnI7aV/a5HfYyr6IY8OeIZjJalg7lK4ZvoM TW7uFpZY2Mhjh0yFoWyEIn0+0119eNCo6MZVukB377H/AR5RKEFUkt4p2/aDxA1T/c6xdfIwgbaw hyLderxBSejoHJ1Ezp0O4u1jvMHwbr3njoPm0NBalVZ9K5vaAWtdlgVxFBBUpaLSW/fcE76j1nRs LYsUzKUXBnMbiKBHdn7+WrZcSN669Y/zbzoLLgnvKb32nQrlBBY0c3V+4zDz5jiL5ubCSe8FrSWC DouACLLcbsVBImyyo0sM324wE2UKQYZCcidBbJCxHThb8I2QX1HZm7oKaxzPNLpCYORK8hn91jlf BKeR/mxsI5VR33meHB1YcjCz2fSJ/frXf2ezyUDBDrIoC3FZIjpY2zCmpMvU/t9UjdWXKxtzDuPW NtlaWeogGVlclnY4ObLx4aF9/fS3u+Fu2cEPxxoRgl2NH2CzeW7p5d9YMjqx9Po/WL54KgLoOs8k wAf4v8yKwF3DqQYM0qcSho3nrA0yMfgU0lxIEPujK9iT3tirs+fKgjUP2BT27au/ExEWjBJ8kOtD SRkzulNhXMsm57cdphz8uSm2NurBDh9ZPBzbds0s49DSdCZXll3r+qEFeIvh88M+lBUoi3XwvMIh JsAHu4Xagb8qS4Iwn4wlauuxAcr1pRvhdUyQqQJtyGEqY2fccFfN4A8SvNq3/3afwX7P7/zxpt3Y +xz3XXrDQ9nULQztznP59y5Qheuz413ts2733iNhoJZDpAM36MchyHTlHFrKiUBZdHWQk9HwsFX2 4gyQGO13l/2VmTNzbWrVmtVoKQWmu+YOZbxAx8U7eJ36orAoaASEIGHo3pGkpKQUU4alaXiImF7m cYPAuie1l9Y6QCmp5YB5OTpfjcq3ql74MDxxtDEbYivVbAzcnJOAbArlJJlDVJodH0/0WWQOshWr HdMrwAHSns3bzGb1xP7x13+nsRa+63gAhYORmMIaiaa5Giqt/DmAO8PIZJL48AnDYtfu2Silm7e0 yXBmj44/sfP+a/v448/t4vpCsi7VvLLZZKZRHFQRCNfj039u62RmlQ3s1bK0sa2U3TFITbzmuzDz J15XIYKHOqzYJlmPTQPLLh+XItAWGWM07j7NmA1wANLS4FtHw5ERhsTTYm7QEjn30BRBmsYF6Vx6 CLntJoOSwXDqSMPMrxkxAgMlMNMa7VjNb1tguyX0/UH3uxmGL5bGKuSIED1ExJDxJVrmwlcD1y/M 0jKDKrVPTHPR6Ur6N7Nvgabg5g9BmTbIdHf/dd30fZG7D+Vc7Y+73OcY1HYLP3Qk7yvFeAh12ytf 997gjWDFPerSBvdnufvH340J3c2s7n7Pu8fjgSqUfd1/4Xh2+mA7lvututUS5Totqo9IzwCsewt+ MEgFAH/y5DM7Ojy0r779QkJrjKqcnHxs59eX4t/sHORaF/+TAguQs4IRqTPdNx8LgOoABqELGVI/ 2ftQ6kUYXiC9y7Cpj+EQkASc63kuqUubHt1zmVYExQCkfJFeJoNDNYJ8vW4WHrDLifWHrt/F3giZ nKQB/AWMjOyoWJde6llli3VhmzKD/SgKBLQE6WJbbcezj20+XwvL47UHI7dmp9yiG6ixpv5AbHZk kqF1MLZzcDixVr592D0iQggRtbbVNrNpOrFyObfH45m9ePZ7zXEeTI6tyDbqcHI++zHmowc2q66t ePZ/2Toe2/FH/9pGm99alV1ZDz6cPN6QaE7tYHhk6+W5jSfoYnO96eJ5Jt3J/+R1JV19wHm6oAx3 WyhjwfW0MyJNw4xfTuY0ttwoiXw+rsMT+Tvij0WV2XAwsbI3smXSs2u4Vg3uxD6j976J0/su53d2 0N4IaK3s1QuEEqV95J4BAivkh+muUD647JMTvLQHzSPYxu2O8Q57/S6m413qPZ0tcT1C+fa2weW9 c7CjHrzHSWn3AuWOb7X/hvecqocGmDsP0+5Fb8uwyE5XzKZqaPnN49m/DgpQHZWiC1Z7mZO/sOvM 3nT5744sJWA4jINQRrjetNP8SX0fn34izfWrxZl9/PhTW2+2drmYW63FESJykH2QwDxdJTqAcJek p9Oh/O6oLM2tysdwCIzs1rwGOWyXlgk2YZR4UA7QfgolG5nMbDiWFLCT74JKKWl70Gcnn6PMUdoO g5ysQ6M9gNCtbTdX0I1cpQwKgw7d7eBxOeb7leysDEzbVGJ2eVPZaDSRtnms6UoUQOFg9aWCqOPW TkNmSdBt7DIrbJWbjRLoAn0FBo7a2flmgzaySdSzMbwSGgOJm6sSPCjEydAooWbTA/2c6vxPf/lf WJaV9skpdA4H0JP4Z1ZVn0pxlRtjOh2rROG0v3x1btPpyK7nc/vmxde2qa7V7dritoMdGpnzIJU9 GzN/Z9evtamQkUlLLO5pyJmguq1yS1uUGlLLaaxonMtv2H6UWAIfLulb1iY2O/nYvrm+YothPNrS ZKRGwvuGoofA626RvG0R3f8if1MyqRI1huApuGt9BRcZzUz2uJbugsP17I1c7PBW7Hig43XvzwL2 IhrBPnYXqBJdULllwrp7wm2KhErN9v6veENluIP3vSdNYv+w9oPb3czqbhbFY7z384ews93rAp1C gWnn2RjUGPY/e9909s4j6bSUdfMljIt4OXgwmtmjoxP7h4sXwp8oBzH3/PyTz+z48NiSZ05/EEgu 66YbKr+Lu7lTrPOXXEVTXcfwZdxnEIsnieTepNfc6DJ6oIwDXHc3aGbcHCh28TQwGz5R1YkxkMv4 Bx1KDAEKmbcm8cSSxOkYZFBVObWoWVkvOZTKIwPFGbpU/dTO1isFgb5yzomyQuzrjwYHYqevNisr 19c2S1M7nMyUqVwXuc3L2oYJ8sID21aNrQvXmeK9xxM3dWVToKzrjEnZcRHOo+zieCmzfU30rMg3 FjetHcyO7BTKA7LQTWzz66W9PF/YYDS1anhoWTuW9nt+9dzK7ZnmEz969MQenZ7ar7/82vW15pHN rxZWNZk1iSu6Im7IsWPLliRDbRYc13QyUPcxbpyBzzWE00YGfNAfeLaLOkcokbnF2ISYBuDaJaOp lYO+PUWOBjmwdmC9ZCqnlg9p9b8Tkv9g3hUslsIKLKTCpio2N1SegLl2T8TBxs0lYtlgcT1uzFBv zyi+N/FzNyMS1DzDtwwiOm9wPjtj1vsysfaeoLULEmDT+0ou73Fs3XfoAPSbowtB/J7P2f9395AA 31522YHyUBX4+U6Yr9MHuxVY7xxnNynwwIOYoR0X6/BhP7VVk6vT96NPf2rPX37j/b4mEg+JIdbV 6tKu56/ccZgyEiA+fKjkVoLIHyoOHGAVZEOEX8W356ogburiheFJb1n74uZzNWMY5ua4b2Cli4SK 2YWC3MJ67ZEusLAUbL7qnkwe+Jg04U2XVpYzK/JKXbA4AhcCd3OQj+HtteVyo+n16SiurWdTS/qp zQ5O8N+ys/NXykh+/ugJKak6qvP1SmA3TQu+ecK4UtNoFhEZZAI5A8cZgG3t40iaxWSGDi5UQ3DL DGWpdh7bYuPaU9AFTsYzMdevzp7byeEn9ie//K/t669+badPHtllFtl174mtBp9ZVK4tv/q9Leff 6v3Ovrk0+zqx11dLe3w8VUdyu0Y5NBf3zpsYBCK3hWLCgWFkeFRIDGEwQAalrEOyxzj09K3pNZY1 laUt4z2pFei500kO8EGB1lYc28uikIppW6NYMbY09cHmD56Vu/N4qNN093Ef8ZLsptqs9Z/oO4lf i25srStDXIAvuBlTwnb2V/rlw5/1rsAlTmDHnCcz3fGKugSvc4/eC2K7lG6no7w7jnaHRQd6RvdG u9d9+OOhzOi+73v37z4K1NomZEmTsPlKkG/f8abr/t196/2fv3Gf7DPA9jIsCKMihWK/hSxL3Wjk BqMILijuxtfLucYwGClxMqK/kaR8Q7rbdQd5SAcpMMn9mDvWlc8AOoO2O1jIDYjYYeTJjeTqpsoW A1+DV4NTyVpFztQ8h5fDk2EuF9sxXDVyS6tV2M3cm7Asl2YM2vZm3nIPgmDQGMqotiwrNF7DzF+S nEo9k5i5EK9pIWrBZyenNpmMLWvgqdW2KRw/o5RmRINsS/rrZKiQdyWR7sdMtoLMChmc9M0Thscr 22YrK2X6gboDXo9oq/dcjrlGIgc/N9jyC2ujxKLZJ1bVWysHpxYRCCA7av6Qmw38sLLlCtMws8Pp sf3Jj35pq9XKFou55j87w1ikdUTmpRscLWxdzG21WTvjG/oGCpvKqGS85mRdAmu5tnF/qqAGH4tr Q/BeYSJRcU6CDlo7EoWhlwbO1fcs8b7bQvRghRxMxQCzxA3dAEH3oOb+/c6SFpdKac0uOe1j733e xgZ/57G5tIkClrCz+C5gvne8d9OtvUO4+bPdA/5DorAXB+4DyD+Yff6Wn9/3HIIUOmusqXVHmAvH ePsLvPHG3ZHuyUTv/3lPSUgwcheUSCJw/cHY/uyXv7Qvv/qNi76jfIBhweLayaOaZA8zhpr3870B /KNm9i1IXegkCr7y9i8EaJeCwfKd9rhHT+Vf4hp1HoQ+IqN5TrqNEv53ciZCeNh+0/0LMJY17cpS G1svKq0u5lZvgtuze0daL54oswMAlwMPx9GYCJwEFRjlRKfHTx5LweJ0dmzn16+1y17OHaB9NJvZ Y0xG8RzMK5svGQTG2Qb3He8y4sScbXOVl3Hq4xq8lq7ltmis7jv/DMwKSRm6e0wTsFlg8LDNMnHa JslQDsyukU73EfQLCdmpXWwObNP/SPbzunHzS6uzM0v0WdGO8EsAn682MtIAu9NETpMI3wNDg9bQ kXjRFeOaIXdDdF8t8Dd0KomPQTn2xu/IbJNibUfJRD6TawJwY7YliFObYwVXQxUZWZKMQxCIPmyB dP513yFI7S9QGY5izoGJryYlgmPTPp4EZKHxoDA8vOtM3cGbdn/5bhkMnydpgaBIeru03Ae5b2c6 t3+393gAm7ovw3xfFYu7ZeHd995/7l3MiodKP/6iMnuPnX7rze5+cPzmud2TRb/ve7sOrABq14Ai 2yjypV0tr/U2gxS8BSNQwEh23caiEhCdYdu+sJpOHVYBSQ1DJyzKonyvtgXr8lk/tzTaZVm7DkeY eaOUVHs5yC4zLxjaF8K6wndRUKf0S+HDNFasJDJgzOlCTXDxUddtr/KxTQ8GInpSEI7HGHfmVuQA 3D2bTU/t9fOnNhcjOLK4wfMP777ETsYjdRUvy8LO5wthNxwXGRGOfNv11tZrJvorSai0sYsUamxI Y0pOtSBDZcBZdmbR0B5NkWfGyy+3Z5tz95AbRjbrYaThDteUiV9tp/Zq+LltejOrZYIZSoegtqqg HiW2LcgWme/Ddr60Ly9/Y2PK38pVL8DN2rJv23JrddHYbDwytJe5RLgTc3v4MDPD5qXmQq+hPkSx HU3H1mdsKDIbtZVN49QQVp43rW3RiC9QySCLm1iCxhVUGEYLPmABhTvFvuvjZiEBF9QihZbMuXJf dbSEIKwnqgyUjx35sitJ7itLvv9jbWazIH55+5hvH/8ux9iB/Ptd//aNPx8C4vff810PX5tuTnJr PPEtgXD/C+zKvl1JdKf7d/+n3jm3+xvCw8cMUVzDt3CzhSDFrX322T+zX/3uC2k8bcrCpsjppn0N H5MxSU6ENr26Y07ekJY4WVDHbFeTBN2g4IQDgKsp9+5wvHV8aySC7hS7Y5WJ3W2YSqC1LvHAMmRY a8cf0HDH1Toa22jYc5XS3Ax0BvBxiER0qY+VlhUdScbXmP3DiBJyJJpZ6or1Y/vymy8sbmpbbOZW I1NTRzYc9OxoNpKcMpjc2XKuLJQ5uckIRYnaLhdLW6y8HB2ib48Bh2zgfHaSIotsKsX1WRrngO+l aAD9uCdG/pwOFiMg4EZlbuMg5ywHnmRkZ1lqq/QoWI7fUEKi/oH10gOr2hcKjpRp4mxxDLwD11Yl O3NvNO5rp4SoXy9LXPHYyDTkNt1LRJiVKgR0jwLBPlddpbt7NJkItxumiPo0lrRBySPcuG3btyid WJxO3K7rzmJ/127/IQJ+b7x2DyvhtvJZbG8oAU04uOxpf9vEFvedd+X3b9dyf9vxfbeMrzuuGY0k 8A78LG/RIG500zXEr2HqPTXO/fdr90mgXQl5f1DqsqYPwQ+7LKvL6vavxH1By3Gqm1J1Vz7vJSo3 jz1pCedt3P5+75lRs2GKCOjXjXmpxr789osww4csMiRKsoMbjWdnk3tW5qA/LeFgJUGGRNs90Brc fgzbrJF9fvonNp3O7NvnX9s8O/fxjh6OLQSSwk5HH0mzfb66sDxaCJQfDQ71GUW7tqQdWdQvLCsu bZqudGzTCXrlsTXryjIaXAP/UuPexNpsrcBWZGZHjxhXKSW7Ahhf5kgp96zXb+znv/hz+6u/+UvB Y0yxJHS3ApUCTpJ38biResqiDk4m1h9EdrZc+SgO4zeD1KbjgWgJ2N1b+E6a0UwYsu7KFR8I53dV L7IX86U9WyyFp/F5qInSFLjK1gLCnvz4L+x69Im1GERyHu2VJf1fWVX8C53jfTYwuJffL40tVrk1 g1bqqJ/MBnY8hLmP4hkviS2R1HFqazlzt3YyO7LRcGTry1fK0MjuyCQJ6E+OTjXofb4MM5Zta/2B z0GqvFS3GhxuYr0UUb63l4IPPX6IXIazgYhkvpiLc6XuHk0bGfv2NOoQcUFC6uL39H2A7w/7iDsi dTBkcWedmxJWASEM++36h/sZTvdfcw9GZe/Oit71oBu8rCrDteBtp+JuduW9z31g/SHw/Nab2Hd9 MK4n8BWtcLV7Veoc2+nswLblpWd3JjgAACAASURBVLKVTluL36mtGA5UmBUlThh0hhkceAa7XUOd P/5LWvvjX/xSjsvT8UycJXAwJH5fnH9rF8tn9i///C/sH3/7D/aLR39maZKKiCltLbgxNQqfmSzk l8sX9vVv/jemPizu96zY5FZezKWqqSKXOcitl4Jz2NiYsvTRq5rbsH8sSkUGTwr+VVTay9fPDXvE UWI2Sg9s2Mc1JbKT2cStuJraNlVmV9drO5pN7Gg60nFJ7E4SLa2lg9jq2DEr71r2tOD5/pwuMigx /kW0dLNQgswCK67I7GQwtdlo4k4329yuy8xOjk7td1/9gw1//Kklm+eieyT9c2uPL8zsn1nUYwLB BeTgo3V8NkKbtMjM7CyvLccsdprY6SiStA2NiqzAZadvSGRfovvSLqwuXLFhiVYY0Z+RLXW5mCvk +uKAPVDp+nK1tbwf2baBe8akA4F9pMzF/Sk//LEHwX6HF3vwEYXh6sqyuUMaki7u7OPaZOe6LJZ3 KKk6G/bvW5Le99gPKiq981ydaTh4SPYQyDrxvd1X2UkOhzKpK/3a28Hgocyq+927hpPv0jQAz1dN JSJoJwR4H4Yl5d/9zbKrW/fr1+7RNV32Au17P+7jYSl91hsyutHXYn356mvZbwGcE7B8N3DDUoBL WY+HlrFE2sIANFkZF8DTb0oRlBUoR3hNYf/7X/9b8YUGAwTcPGBprKYuLasW9u//+n+1y8WlTfrH Kk8+/+Snts4W9ur8W+dvtbUdjSeWLZfyAIxHZtvitQ0ACMBSh07MjJEzasdWTXq2ypeyl1ou5xZF U80Vkt2oURBH9umPfmn/8E//p3wQWJWEXkxjkYg+nUz84tSNfXO1VBl8fDx2lVPxwXINHavpGPhn lMEKVkgkWyUOmyzaNbLkMjgsfnwMX2/Wdo5sS0XW4rr4h2NUOBM7Hp/qHC2uv7Z89T9ZXM+lVMoQ 8vWvKps8Gtjoo39l1j8M5QPNDFcy6NQoUQ79+eFAFAkB0XVsTeLlBrgk55RyDwxtOCD49W1b4CJt NhgO5M6MXjvcMcp1dOW5DMx6zho6jpiB+EbV5LH1MeUgiL7HGM59j/sQpPe7r/07FytoHhdWrskE ubvTUF6BVw0s0kXee1340Jt+3R8uy+IYkjSVC8+sP5DfI+J0s4FbivHJWkPgFv6ldr6cu+zL3l1W v+1xqxTdc2PejfBopq62VVnaRPjeneAItWgXqPbInruScP8chn+/LZu6L8C945EIbwrl208/+yPp NR0fHNp/+Ie/CWqQzqNyxw3XWlLHLkiT+GxhiMYM7qIGsA8gesQTG/1q86VF0diy3F2ZtePIUdel L85WvxWITpRvy4VdffXUWlursydEhAxwbdKVMq4rb537z9T86ZmN46nFg54dnn5qzdGBrX//jzYa pbZYose+sqLEC5AyAd2pyF68fG4M7O8UWrXjUQ5iA0bANbvcbjSvd3wwtSUcqxYj1KVdLxeWZ2sb DA+cDgAZUZ1rJGUYJUqC0UaYpySYy2GH7mRp86LUbCFUgKylW5vao+MndnIwtGevn9pyvRTwzdgS Y0mU0Pg5EiTXl7+yZPSRJIEAyqEqgJh1nR5utmES2aNxbH0GnsH1Er5TT9cobzJLyKxrmidISI+k t4Xaw+F0qs+B5Z6j8JDndjBmxCmVuB38LPCwXjMUXgdPt9em2vBcx/S7pfzfJcPalUDgqZTZOaav LnGs+5duNl1pSkFhk87v8yD3sD3V9+WO3fsQF9HnaGfyrnRMGIWQzun8FsubRXFH3aJ9C8XgQYb5 W/C+uz/DlGRVVaIpTIKTePfAd9wB9XvetwtaXam7+4wOgO82sb3X3h3NuX2Q9/5Ymu4+QsC4R2Xf PvvGvvkWE1JJEgqXAnhld5ADNPrcQfZYC79TJ1LQ8VEZgcvi6lCm0H1wWoIH6Y0GkYOqrJNf93gk DicsXG63t1Yg6bivxD45gTtO7EOahVm+cmneaXpg6YAuV2rxcGC/+/Z3Nhjh0vxTu7qCEOsXtGp8 t6Mrgo08nUWC3SCZ2ZODmY1YmOblGmFgvs1syChO3NjLywupLiAquFmtLaKjN/Dsie8B/0zfK0aG JzGk+siq4FqhkwWRlPNJoBAGxWt6iQB1aBfLPLP59bl4bwJNBTm5DdU1bPzWNbqq7NpWr/5feSA6 b6ibdA/u1AShoe/cKC4AuZdkV2CWxlC52flqq2BKhlxdXdoE5j0jTCz8hpEd9N4RW2ztcrMSh4uM gKHxWZTYWgqyTBa0lqq8ARuy7/V498u7+2hvL8cTcr22LdlVnllPLjYiwomeogZAN03wAdLEbzDN 7znOh95p9/s3OvO+kRM4XXrcIRbxxAS37GV9QUDyP/VjTHWA+MAeg33HVr/voafsWfbc+7gHZO/K yDee+rYuYXgBuyOmEUz7a4YvWNQ7uc6Phd1bnoBBToPAwOKYjg4ty7ZWlltrZe9FDYyXIUPKaxun jywvXQDV9YRU3SlodUmk6Hy4xqRTayIiUGdLFBLQ8L0SAfoeYxWwoFGR1M3MqrQ2RENQUeDao5V+ PJpITmQy7YtlrgwEKkQfjGxkTXMl2G2UTO3nHz+xRwdj20JDaFqbV6Vt68rW29xmw6ECSKa5PQB+ mNOUTmlwCQZc9yxKF73ftwmmFbHZRrwnt3eHK0WAUMM0ilVmkSExTZAwDtIf2eL8VTD+cGlqrlHV Vk4oFQYGQbe21fxLXQ8Z2/LcxEdpZHqbMNjtzsUi2kK1yDNbkVlxHTVfyfvECq58h/FkpvEbYSt1 rQxsPO6pZOfY2aBQFR0neOr0dhLTsgCj/OrUOL/HYz8QvXkfOwwBlsbi1mJnE13MbXt1pYFxZVLo m3EPcn8GjmFHHr8VaG5xrN5yTHt4jWu33VZg0Dt0mE9gru/lave8H+uH+SVXMNkNA3c2XHcA97s6 Ww897mZf70McfTBjU/lT20ZV1f5Ze0uI3mVW9z3nno7gBwYr3iJ5cvqpTh7YFQuCMgm1y0QBx0c4 OllkXiA5FdjvSOw2jHTM7CdP/tTKvLDxbGgbzBWSvsxLrxYXNhqPLbWBvb58YcPhwMo6s98+/Xur GsTibtMvKN8n/dQypIiYItnrjorSU5n1tmZbAtso0BbWZhUl45gRkda21dJOD07t9y++FoeqLGp7 ff7MhsOJPX58bGcXZzYbjW273dqrs5dWVmsbDSb248en9vHpkSIhulgAzXU9t/Ums4Z5wQlByecS q2atMlJZWZ/F7zODkEA7f8VJfyTQ3d2jt7ZVKVVohEYn3ijzyIDoDg6FYy2z3IrmWhLGGi0SFgZR N1Vp6KYglJeusECwkMNz4x3aNGmsHUUa8G4QABs2Ik52DHbRSHzWXVpWsnBjpDt2mgJKGYN+3w6n h7ZAR6zXs9PjE9ssr/W9xqMDy7KF7NsYbF5v6Tq6f2RCVsMu8YeCgQI1pg4lXzqeaKFn8ytbn72S eiiZlDCgLrPCICKMgnUAe/fYd4257/HmYg+QfHu7BNq1F95gru8OfO8rhCAEIxyVXrqpgU8HTjrd GwpwV503A077ANv+vhL23cz1/XGg2wd/QwSV2/Ce/vL+17qDWd37ed35eUeq+K6sV1lLa8nheCpM JC8yK/KtumIi3XFTqKPkHahCssYOxNHqxsaKyjBBsE5OK2aTwaHNRse22W5s2Keb1rOjwyNbrzf2 +PBT7SaA6H4j+TF2JZ+ceoLmeRLPLOqhg7VxbImvLV8lT8V6I+RoQpnP+Tg0SwlYgPvqyFFesXgg bOLyQtaYWDrsbLQaBaztdqnz+eTo0CbTsfSbRHUgElWFl79FZYfjoXAeunBJP7LN3C9DkrjrMgu2 F3Sm+AAka/jMbYnHIYqmsThVdDrVNdTQtvNxYPhHvcI1zFo0yQCtCXKuNDEbD+3k5Il98+IprT9X ceV64EjdgenCAQO432tsOOpZnte22SbCSuTeWDbWltBMWusNNFMjvha8OwIVTQQu4mQwtGyzsc1m Kxv27WapjYsFv90uVHItaqYftlYkY1AzbXDYXYnDYz/sY3+EhftSksZk//3S6s3GVmevrc5yAeop Uj/Cqhy3osxWxhJKD7/2b0fKdhnNO8vG/cj1YVFaM4CqUsIAdsOQcAC9u9nGnT77Dfu9fU+A+v2p DXtoY1fWhZ9shMGQZQUZmDeUYvf/vScmf9/vvweNoXv77j2Sr5597SUDbOBQBrIYVA6qvPYLwh4N FwuLcbCWR7NjG6QH9i/++b+2v/r//r1dry8temG7zp+wQ8ZCcAvW3F/PJv2+uFtJUltO8qYswi8O DRxEH+p4Y5vMsxd0lghQSr8JjoDjZDbQfBqmxM3imdkAfbgeoyA9++jwZ7ZYbGS8EEW1Bp4FufVi W73aKFjNly+li+Wl4dQG05Fs6SMUM1UOIbyX2ZBsczKy4SC1dVFIY327IbCbzWZHol0wikMmRbkE JUGJaKAxlKGkznICvmuNEaD4T/LQycBmo4Gtq0z6WJw0gtSgD8A+ss8+/kzBiQwQo9pFeeH3TUN3 r1amhS08jQsY90UVWT8FmGwtl+tRY80A9VbOMbgknUOBWLoJp/3E6l6kzqNYzsLTXE8fO3rY6/Or CzcEIchmrpWFVEvexJYnqE0gWuiaVz9EsHrr0teG3loBZQWhwc1KLjcS2IMICnmZTRWwWAq64WVB wuVWsbLLSj40JXxHufPgge8ViVwQiNh1hS5IOL+A8d6N3XdRvjncd2dZb/v3gxnZDizvYkIghHYE TwUt5IQDDrMLbPuZ5X1l4A+YWe2B3AmCbTJbEMrtXSbRENg7Q6EOWYuMgKC2AadiwY4mVsLfISsq 5rYtF1Y3mzAOcxsvkCuOJD2msm6Xf67LxSvolaWL7U1HY7tcboxZ2xbTYqAIKEs1bHw/+NmYBXlD qE2n0C34uwOYknyO3aae4WPKIwKagG454myMZKIbYzqYjdXSJwLmdRE00cmeIpsOEoGNqyK3lTKy rW1WGxsMkUke+eJGYkXqDz4MDLbk19dn8HKEC8MAOB6JCdKsgYUNXeC0P9LIy9y2tixyK4qt/eIn v7Szy1f2++ffqiT87MmnInKCybTorKvjCKgPvtTS6hV+RpBCNG9VFC4DLW3Y1OLRQLONfbJmAmsC l6o06/dtaXgYYvAqr2fLs0I8K9yjMahlqiHtE7xwtHYjWW8ijGyejixBkiJxKsYP8dihBHc0xrvb mo2Pa0+mBz5HKaqITHaH1I30+W/MQ7vS6t4w8yDm+xCH6Xbmsk/fuIFl3uRJaej51nv3bBontiJL FoeV4evYllVtM9FO7see2gf/HcrVO7ja+3UIQ8Om2cus9s9WGN5WwHKG8K5J99ZRmjcC1V7Qft+M 655YmMjolBtAYzYoZIJjDJTBqLOFhIpATpeYBTRmN75YXtm2XNn//Jfn1lMmFYt8uVOP6XY1sqDQ od00K4viqVX1SuqUZCcCheUfSEBzVxrKI+47dQQr/34I2fLMIQGrJBC4IgK8K6vGtq7Xsj2ntMVW HeJnN2aQpDMpThCEarK3EPB6vbE6aTjd8G99T8O1xk0cVkUnGVzaen1pZTm20ejQjmZjueSQBSr8 ytTViaSUzb2EbiqDzX0nkgbLKG8iIPcc2/FkaoPewCZJ3wrUT8uNuFFZNrfffX3l2S7XhHjQ76ss /Kff/U5AOppdfF6ZByFEyh9EAQcEwcgeHZzYt6+Q1eE7tDYa9CweDQEjLd8UGtRG/Yqyu1JpiYwz m0KhTnGbb5QhYicP2M5mBScLe42YLI4NbJDakgaIIVA4+kG02O/mO52qp8ZMmFdcL217ceFE1v5A GlxOwCNNZ+XHTgLdV94MweuhFXFfoHlbsOp+3wlX+r/f/r3u0iVCG2v3tmpohal8rjnr7m3v8cZj ryp9VxnYlZbrcOAT1uV+ZLiHSuGLJTwleDDcBuL3j+UtoPx9z//Ah2ZIYGF1GYG72/hNajVhIjiC qIrwSNzQJavWwnSi4tpm/UOVOYy1dNmbKzvgFn2zkxXgT9XKN8R2rZGZNBkr8BAgeQ1dNVWLDGQH 4jz/AcLXPTM43id9s6PBoTXpXNmSMrJ0YscHjy3Lcnt5/srSwdhWi41NDglWSwVATbtQao4nVuTw p1IBoPPF0tIxpZ07JcNtQl10Xi1tlWdWbEt3yp4ASGup+1A2ktGUWgwEpyiHwlsxy8ClosR5WWQ/ g0SdNUrGq81Wc5FI2AxwuI5MTs0oQiyyTIFtDXYknzycasyePv9aXCywj9fXtR1MEjsYuZU6rjw8 j7ITntbxZGTr7UZ0BO6ybF1YAzGR4Up1T3u2qUsbxpGd1GYH8dDaBONYx9OyKhcmhsQMw+e6h+Hg qezFlMIHebdNZNdboPqhRWQ5gdvULYr3ebyhYrl3ayvgaOfie8LjK6zarHxDRAUCWw3hVH53kl0L l90FkfDeb3CV3LPy7uOuAsHd7+D/3seS9rGlN9/nvve+9X50lnu1OE/T4D4joLuubXaP5PBD76NH yOD8694EQpV2+527/a/USRdr0Xfno/P42quf73YOVSKi7bX3Xt2Hv/XxAfyMALDf90hcgg3odOmd OB3zgbXt2up6jAGPxfEktNld8pC/sgfQ5Oi1Y8tKRl4ObZgc6HeSSWYmD+3wYmWMwXU8qu6kdVSG vHLNKkbtCDzqvNEh7I6dn3XKqgT40qxIzIrYcbC4GttgdmSH/ZF9+/Rbq5qlMq2q3giDK3J2rImV BQTUsY0miWXlQunaqJfK4UbUAOHlPlXdpD54nOVrK7Zzxe1BfyaBQ4XvnTEl3obICnuXjiDDol7l sOAjm04Si1K3OsvKwjYQNlXrMpBd28HImwyX66UtMp9XJDMk8GM7XxHNDLwqt+OTJ/bffv5n9pf/ z1/bfJnbJg8uMLVvFJNxTx1LOGM0GmSGUaKg0Nj2urBIY0xIGseW819d2XZZ2Kdpz5J+LLFBAhqu RjQMGBAmy5sM+8rgNFzdxnZWxpbKQg3mburZVUdWfYu07fs8giG4Xl8TnAQf0A2FZ7WyaovyApm1 41QiMauLnbhFmzqB3qn9UKD63Y/2rc4x977ioeCndRCJmAk2ii76jCF8vpMmP9zN6Psc4qaLODtu 1H4adudFt5H3G47UfY9O+rkbcP6hCbb3wWF7jySW6edmxyTnuYjWKfDGG33fulrvjr/D3VxzaqJF zbHXLQJ/oamgzt/MymrZeVTqZ2Q52hzZOGOkTDxIURWWfE4IYl2QF49uz4lWo0JIx6Rm82ylAIv0 MUqoeZZbY8vQbd0o0PGGyBQX5VyvH47cpkrM7MRsNumLk9SLU3WTxEminJRGPSz0XPSFsZjskTSq +CIiCdBdq7HVcnXOTvoYX0fAdjH5pVZBORWL0iDMI5TWBMfLzVrsdlQfaEagjgHdgC7jyWhkx+Ox rVDIsNZeXb6yq/ml/fjjI7NoLHoG7PTVZmsbAuS6tlEaiT9G0JtNzFZrzCkA2f3iIeU8NLNVazaB 6Y8FWYMZR08NFWFD6JW11ONeutARBqOb17VlLbpckR32UtsWMPsxKwl6Ut2N/iH35r7lU7hZd9kE QRNOWV1ZtVpL4ljSQulA4z/dBizembhZzgnreGuOWrnygQbX75Zl75EV3e/80q2qm8dNNuey3vrM bmPu5JXu0Vj3OUKxSK1F+cJxChmKzu50XO8e43qP1LnLpu4+bl2XUCe9kTW95d/7P9/PePZkpT/4 8dBr5Cfx7tcmAOXdWAtibJ2cTZdFwtnRfJ6Nraw2OvHBHV5KnADnVA4EHj6ToMTfi3qp34n8zPt7 o84DcyjzWEwq9/gZWQWvdUFIcbL4vbrtIXhNDw51nNvN3FLmygGSewNhQeeLM2WpOh5gOXW8Ju6A wuenY8urhYNhjVl/iN67M9TJ2gbp0LJiLUNUPp+mQ1Uy8+PSNOhWueciTQlvTORY3oduFBgSEjQE Li56IIHbEOUDFlTnB6ly2w1j1fxUCun2ZoD4PFGjL7iRDIYyWGWMmSC03m6tLUtL+2s7OqBh0Lej jD8/t98+fWnXKGtGZgd9dNiJ17GtrqGoUMo7BpghG61Sj24QnPnWRuGcS7FaXStfaBwD2SJ6VwTh gm4gmF2PLBUPvjD+8j0fd4OVAgAKrcul1cnGsutrBS6RQrsyMEjHdAmCi++FQeYdi7qrCnwM7Gat 3Ei63HcskrMO/oIP0SDuC2Y3uNRtuZqHLboiGyeJbaC8JCKI2ESeloUt40al4u3333sAJegvd7zk 9x+74NplUbsoevv77ONR9wWruxSGW6/5gMfd7/GObOq+R6LAwXH6Otu9jy5a+Pc4PRSYvAAAD41P mQnLFNWfi9KB6AMu+SMciuxKqrPSigp4loxVb27SzhdAH4ZuVVdCQ3FgTpD3I/AFpdCSLmDjgagu N9YkiAhWymQSWoZRI8Zz2j8QqM/cXG8wsYqSMEa2l9Z/q1KHzwdch2/F2Azzg0ijsDhVItbOgMfV xpnVBKC+nJUrsCthK4wtwS53IBxteTBAyim5r8RgWeBMknVQ8JVInkQAG7HWNTwseVbws1Cot+BJ pQIVQ+djlCvKytYVlmIbG/T6tl1dueFstBWu9XqeStaZBsaTo8Euk9PoByz1qhafjEA93zprfkiJ Lx0z+RVp9lGCbnwHga9+zHU8tKyJbDLqW4SHIY7OKgdvA8TvKsPuKlZ2AeIu/gUBtALnXONg5P/G GxCNeM+6QwayK8v2MrWgvbSPNe0dwd7v7jm+Pav2N5+zV1bdE/j2SaW7/mEgrT70mZqSKEtpok+D G5Hf7Igy3jU5bW+gqJ3v/J3vdjcD3A9mtwLpfmC6w6O6lX6+2Qp5r8d70RXe8bx7fpdUHfkyAONd WcijOx+0tDNjPANrdr8YaTwV6bDLtkboIKWxLYtFyBjC+3WOy72x1bUbfnZZp0arQzbC+ed3MbN5 ZBPrtWeJkjCaOAjPzFu1sridWtOurZ9ObTo9shcvXliS4hQNrYHxlJlnJnQ9LbJtvtbn/8fqzq3Z bSu5wk2AAK/nIsuWPLYz0SRO1cw85///hLzkYapSTubmSCNL58YrAALg1Ld6bxKkyKOjkfIQVNmS ziFBAMRudK9evVbObF+fsg879iENf5mcctxwuwCt4aApq1huLOtd2XAyVIal6UkFz55dDcd2V8yc eRvlM7YEQoi1LtcDfodO1ppRHt1bPdtWiaV99N2dbErmRQcSsJvskwFngt5AbHqfI4TQyXnICBZX ZmYQQ4dKXV3r2d39W2Wav/7+W/vPP/y33T6gHV+KTIrztHdre5aULHw36+B7V5ktuWuUG8CvPPPT 7oN7ieSus6HdLl34cDLEvpWxHoL7Hr/a32OP36jd30e79+Ng5eoEshIXjWE78DEcH7nxNF0BVrSF mDV4tqghYj0l4yKLNIHTgncHwSYsWk9+DjMID4rxX/vjFJTwAbDfxYL2geYULWH3M6gv4YJolg9J o+A6Ew98pTdF3lBYnPudHQXUU3hV+MFugR+ZXOz2c3ieJ7lW577np5SJ20fkZs5xTcLWHw6/snVx u5+18gzaWeiBbkEpqNItdDW5ZuVm4QElnHNRLxS08nxsdQ1xc//ZVFkMGwOS78QIu5pk0bIs6G4r M8snNpY6QCMXHyzbN/XCtu3YmnYhIB0CKzbovfSd3FDYKXgbTQOAejIJZuOaZKJxIdAnRnXgHIl6 QgcPieItEi9+sqgn3MwoBRMbypcOqgBaVok4XnQSiwZmOqKGuKv4BaA84WGpc4aMydgLrHYNenMx vRzU4LL4bs4ilhorWRImGLDlseJKM5tkidRC+Y/gQmdvFGRriBFyOlKw8MXLisvauf3+xx/s59vC /uf1m/2Xo6eC96Wfa44wsfUgs15V2xjmLthjRbBK9QBAEfVicmVFubYFHcf+SBZnz/LcUiRuSsii UxFfd/56n7ntg5XbchX3d1YtFpbg6sOMJR0eAPXQPZVsTCwJBSu46ojCQ3hKRhxqTxD9MFDtPrST Wel4dmTFrvrEcRkYJbs7Aay72J4K/gcQe3e8fkGUZa0SwJgwJrONAekoOB3s+kiX6uDQex8v0brn 2QninxSsjhPR42P8aPZ1/vf9H371a/vpj7cOjAfsSl1LaUPtDR2EJcUSLuS7dPboLgnY3ZqtMYRI x9a3iTW95Y5dnPUnVlUPjkUF0D0Gbe1f5IqJyk5eh1TQ9Bl6UDj6JOpirdeVQF4WOsTNX738zh4e Fvbm7WtLyBIyZugelKX1M0/VCQzMPKZ5qqcXDr/TfCigFswJwB784A73mhoNJddYhwuV9Z8p2OEQ xKydLO01AVBLWoYARRBzNnvw8QtSvOxbkwIBV/H14k/oFt1PrjFAOO9Bf4tskJtT85ksj71zi3e9 WtEXwJTwRUT5VA8PCCkEzqCMkRRzZZavXlzauprYYtnYfF0c3AST8cQup2O737x3hr41kmhGC/5i kNllklldl3Y7v5MuPsc3q0qJul1NL22OgX3LNSTrhYP2GeODR102XTv4VvOZFYu5QGk1KjRkHVJz aa4x6uAmvMoy1S3dl7/HR3QcLA5E7jqVxMFrQhYQFXOj9nvY4+4NPkb1dIusU/8ep34f8h+lfziC sOC2gcwZM4BuYHhKlhMzlnPf0omS8MR5nv79qaB3wrLrsYzqsfM43nrAPtKFmljTeLcvfi9BONSd a2K5GLKueC15MEDvybJLW5UzZQJNvbI8HdsY3Khd2lruP0sFKgKbWOr9oM28e1CMDVEgPPLq9sIG AqRxy0lsSJaFTE3ls3u5WpHAyZnNFw+Sd55cOAEVQ+p47prdI81Ke1ap6zm2y3xo1+ORyiA+geCL lnmxWRgjamm6VDDFqT67IBPaWlXhtpNK7cDnjfg5Ho105DCbcMVRzYSF70mmEC2ln+Mt4jWhbkFH QLr5EDXd/nxEAMAivoZhMemQIQAADuJJREFU7x07gl9RbZRB0LXjy2bxSsQwzWzEmFFVCpylpFX3 BDC6Ki1NChvlhf1murWrV/9qf3jz3v709n0ADLc2rysr541V5UZ41AaHHEwq6HpWpd3e/E0gJKVu H0u0TWovWETT3MrBxIoCOsNUaqcxu/wSm7JQsMP12uoQrDAzVWDSFAG271wH5zC5+e4+a/LQS3bV xTQ+FIjrBsiYeckWVqBtJwgpmEWVhyMkKZQGLsG0Nx095Z94stw9+l1gMbs6AgCkJKYPuhGdz+89 chWPSsXjwPXB+8/sO2SWp9//sS0EikeI7gfbkzuN/ro+SpxfXX9jN3c+zd7YyqpARVCmikJC+Dzu WyqIVRUAdjJysqt0FlQ3w27hQOV08RDN859DEgVUb4Ehtri/8H4Hdtug8gkIneVYoo9lRpoPHCCu Vt7a5+S+fv7Sinlpf/7rn6wsFza5/kp6W5RrHNNgcOXdyiFlztx69URcsUk+tKvhUKUXn8eCfyiX VhT3ClaaWyYw13QjnwvsBrsDQwHjK5vWRnlfDYWLbGRLiJnKsnwMR6A7gaNPeecGFdzwKieDrrgC j5yyyQoChqNqwOcM1awDL2sIhJSrPltI9gWzHn4OpNLheCLHIlyIOG/KWo6V9VuWhQxac0D5u7/Y dR/d+8wWSGAE1cmehOsTq7PU7vUF9y3PelYBxK8bG40zGwwyTRMw8qNkZnJl6xo+Fox5SF1hAUb8 84m33eG9Gm5WsqOakSAoJ6Wwqt6WeUA37mDTeI0ST9ePCgXZ/qbXUzysko/IsRzKqIT/HY3P+MC0 /+6kFX383GiWeiZIHQexU9mW9h/HL4Ic0AHbvIvrbM+dWSeL0ks6EeOg09kJkvsXd0wiws8OMtVP eCrF63mcUcURmI9lhye3/Wv7q9XSLi4uVY6t1oj2exaVJWPbtisbgBHp+BvNta2rpS/u1qxgXg18 s0V2xqWJJaqAV1250CDuZHJtq+JebUMtbt4rZ5mtiJssU1nWN1ubLwvXlOpVMnIgiDE6UhRwo5Aw yYSTvb7HJWYhpc+U41hXtl6tRO7MB94VYNHqYTU0geRfjzyALio3gb0rFyK8epQIDQCbWG+QWt1r LGszGzKiREDFFxFr+7a1q9FIqTubxmLkOeezinwJgPYy6ejjjsx4jt/M2j9eg0Gvm3FXuFqA6kO6 kH26ipQ+TnuQEmzlJFPSCvG8MD9tWnu3nGl8iGAGnkOZ6sPpmcB5WO5VgeMzkjsoSIbhVUMXv7aL US4MrCxrtx0DwKakVDcWugBGIswqTqwcjwS03zWplcXA2mT6QWfwH9m6M20Nyhhz8MlaWvwKREgc ScKD44tOMyEQRW5eBxtSpzVkWJKS2WlWPTGUdhZUlBCOP9tnZTGbi/jrYfYUJYiPz/FcliVQ3et+ G2uOL+IvodQ5kSGe3zq4Vux0fXTTzfWEfZ779fbT3vJJQerEBi79MPtf/e2bZy/sPa3vzYMC/GQ8 0IKHOa5xLc3aYUCKzjmZWGqz9cz5VI1prowNPFsUBldaUXb28vJbu8HUMlkqcKVYm1eMf/iMnbhJ BIFezwajgTp2/J35tWrD7FqmebrhaGo/YfBqrY1GzxUZyTTm81sbD69tNBrKpw/yJuVVnkwMRXM+ Z1k3djVk0Li2O2blQpazWAXAvzb75uWlY0VkIQSi0J2jO8b3f9HPbJBsDVMvqAYCnJmzi77WwsAJ RC7kB6aF/DEBgK4gN6r2HfA1aY1rBAkV0o1myKrgNRjJXJA2yaBQAWVR8nCAhoCUTc37s9yyBmWG tWgWfPYlmAj4XT+3X5ZwN+JC8qwRM1hY+lQhlLMUWAN8CxH9GyL8l9k2G9t9PraHqrX3OEVvp7Zp AL8/X1X0g/tb40WVbXAG6fHw8iditHgnOz3uRvosXxjECd26XSDr4i0haH10xi7yuHYemWcyoR0Y H4/j0ID0ZMnXee3xp65Is/0iHB6zyIOdcz7ICntHF7GbNZ0q/U5sB02H45+dys4eeX/cx+487AuQ TEPQ7fZLxPPMLmy5mtuPr34rG6zq5kE3clHcWZZNXM0zYjON2dqWwm14CHAMlIgQRTWuE9yT8mws lryUL5k2sI2Nh31b1fHDKWNSzRASEcCfivXSJuNrefsV640lOU7UjXS3CB6D4ci+un4h23WkYyRT g9YUQPHV1xrc5bVIswC6lwWC/n37+mJqVUsmwYwkozGN+E3OjPZzy/sTm16OBMJjELsqap+nDDQG QO0hsiVJYrd1YxSo4l+CTWmsCSUL101XiUsQg5wKYIelV/BvVFmtktSzTLKtCYqo8MuKjd57nY+9 BBWdIVilCYh3dQeCI8J7SO/wfnU3sZnoeUbn/K+tPRsN7abpWRk1uAN/BP7SbInwM/tG46uxa2tt nLSW54mNBkhH57YeTG3Z9q3d5lZVI2t7OGgP95LYn7N1DENrXG5WS6vLSuU3nUfdmzglSYDMjU+i zyCLPtIJZIISFED18IgZTCCQPn4IRwFJstYf1xrfBUj+DOTVYxZ9NzB1u4Q8RPYr+xjEPzH6ErlW 5wKUHTHZn5RVnaFVfYBlHeFbjwWcSAl4aqB6bF+7X3XkXqLaIvQoXkF5hSonPKI4hE5mir9L2r+0 cjMzIBtXNNh/nwQrtqiiyp+8rlmuhHexj3Jzb5uVM9db14hT4GCxqMQh64Bpnl9KkRS79wyrKNQI esCojKw04qb8+fUfbZtsrK7ura0vLJ+mNisWtlyVWn7QFZTFMM5Rruxi/MxWFeqd3rWDvc65Nw0L 3T8Xp+LL8VhyMeJRSTMK/hIYlKMkcrxJE1tva10fMh6ImGr0BRYshEu/JlG8z7XQFbQ1/gOg7vQF 8gLdj5h2NI3MUtfohm1bqSSAVzEGpIFkOmShRCRIR87crrHT4pYDfYPPdY9EcDIC1bqGF3f4pFLZ CVdNA96tXeaJXbPoALkpWWGn5RdWpQNE9c3aC9smBCsUPPcjJ5+zRXRE5W9ZWL2kHMQYNpPyqQIV SKOktl0Z4QNAO9AaBMZbDOw+FvOPsbA7hNFzL4k8nM52CmjvbtJC7+I5O/7QqQ87hRk91uGL25dI eY8A9s8t3z7rOB7hYTGczPbmbz/bD9//xl790+9sNltYUy2tAAdqVsIBd/pdIajTyGiZyQszgUIY eDCE70QEUZyHw+JShss+xLcKetzBwRkDAzTIGbBNiYLJVtgKkjA+EA0oTCt9bau142GT6UBs82Lt aptkU3KjVsByKWAC1LaqbZoPVOYumsKWTWXLspLpaJ5e2ng0EM+LwySrGeCX2GO2DlzaSZScE/gV CxwtKG9xw8NCx6jvzPhQ4tHVo+ukBckcYXAVYllplDBJbJqPFbAX5VrZ2Rhdqf7ElmVp5Zph88yy lA5dYQVPCAi6GgLX80W6YUU1C0Pj7o4zL3vWUE6Bi6hcTURJ2LWYA2udOUJ4PXwXg37Prii/kUbu c85OmaCURN9QQ8T6Xt0Y9YsEq1hySR8NzGrlTjbgeKQ4BNLcsTkeCi4sGPhqnU3FYMD3XL2TkryT /T0ylHzqmJTBhcDilc0+C+y8ckcePN3wOqI3HAPMXSr88Q52xxrnuroE0COKQK/z991rzmzncPPt I8DTlwhWp+gOT3vjeVKrRu+Czk2zXdnN7Xv79sV39vyHF/aXv/6XrcvbUMa4q1acN+Naii2SubBe XA+7RJUvHxgizqdRe4b5QfbRVybn+QsSIYNh8Duk1AGvIGMZ9G1dwEvyUuv29hd7+eJbqzZrSwZk HXVw8HGGOQEvPszEigYbqhqbjoYqNcCslnUpp2YCHK7HLrxHFkPmgupBKosxwo1TEOK5OZkP0w0W BhZXHDvBrSULUcbkbPW252M52N4HWE8ZjzDADcGVoMV0/sC+mT7TB6zWlf346t+V8d3c/qJANEKq uFrJ2KGqPHMiWI4GI1tVM/vp9X+obBW/S5piqW1kVQ8mmFtZw7QP4wRdRjDkU8ZztsiY8L2S0SGj 7G5Clg+sxOF621hTM9NIOf2FHuJhc+5So2CFvDEzgjxwpGelexb6Qu78Kpk6BB+9E522XZDpLvh4 6z9lkYSGSAxCUUwJ3lfqd3nntR8uvA+Hqvf/3pE9DwLViezJu1odGsMRJePRYPOR7WRkjX92jmv3 uyeWcE+OP58Y/HYD26cJcv0hXUCyi83cHhZvbbV6a8+f/Yt9/90/W++X1G5ufz4QHYzlH6WfD8nu Ht67D9LTKvC1hBuGAedAKZJaZtQxAm/iNQQrqAQQREdqOUJRwAgDSeVcigz6rP7WVnO6exPdHMPR IAQMD2xinMMhSi41eMyiRZ5lm7YBbHZAHKyLxVBWtbhh03TgQHZFyceiT6xOt9ameC+mym7olEIm 7dV0IjcKci4671P34FI6hohDSAnD/RuDUrcuwAIeRWZ2kUxExoQ/9vBwo9KXYAKPiy4nIzuQO5FI FrsbYFxM81vJ4izI5sC/sP5SprtV4AZjRwJ6FV1y49PEo671876NErNnfSedEqxk2s2IToI6qasl kJU6PvYFo1XYmqKwzWLhJXeYE+Qm09oNc43e1IiUoHOM8Q5QfeapfH7zF8d4sQtawTD0cie2F19+ Kus6sddz/KWD+LBjFJ/YQ5yRiyoEJ3Csz92eCrA/pRP4f1Y+dr7bsPVdeSD8KwT127t39tt/+53N ljN7935/vaLQYIRRCGA7hYzj0jM80EP1tGPJ72Q31HamS+j/ljRIgvJoY+Opv4jMiUxngFNPa3Y/ u7UNxEdkj2GzS14kcaG8cOF0Y8OGBhiHhEmmJZ5UHQwf3FqJwIb5gjBpMiDa51v0rPqWIIgl3AfM C1yE4WAoBaUlWapykmREGWJ4Iuxsn8KTVvgcFwWsTLoJrgyq7iPaUtLOd/9H0tx3799ILHA6RpG1 tlVZyPyBM8HYFO3yTdvYVYGk9Fzn7qKLgQQZNPfzLLF1Be+tsTX1dhQjC9gJs2kcg8Z7sPcKTG0y Xp9MPFYoSL7c7de5sVuZctT6LgQPyPIqylp65zDmO37/+V3XJYsebCdn/z5jkZ9chJ+wMI8X9Se+ /eA9X/55Yfud///a/g6ImJuE84dWJgAAAABJRU5ErkJggg==