20251003 12431800 1.0 TRUE ExportFeatures HPMS_FULL_SD_2024 D:\Work\Spatial\2024FullSpatialJoins.gdb\HPMS_FULL_SD_2024 # NOT_USE_ALIAS "DataYear "DataYear" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,DataYear,-1,-1;StateId "StateId" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,StateId,-1,-1;RouteId "RouteId" true true false 120 Text 0 0,First,#,HPMS_FULL_SD_2024,RouteId,0,119;BeginPoint "BeginPoint" true true false 8 Double 4 9,First,#,HPMS_FULL_SD_2024,BeginPoint,-1,-1;EndPoint "EndPoint" true true false 8 Double 4 9,First,#,HPMS_FULL_SD_2024,EndPoint,-1,-1;FSystem_VN "FSystem_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,FSystem_VN,-1,-1;RouteNumber "RouteNumber" true true false 4 Long 0 10,First,#,HPMS_FULL_SD_2024,RouteNumber,-1,-1;RouteName "RouteName" true true false 60 Text 0 0,First,#,HPMS_FULL_SD_2024,RouteName,0,59;RouteQualifier "RouteQualifier" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,RouteQualifier,-1,-1;RouteSigning "RouteSigning" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,RouteSigning,-1,-1;NHS_VN "NHS_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,NHS_VN,-1,-1;StrahnetType_VN "StrahnetType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,StrahnetType_VN,-1,-1;NN_VN "NN_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,NN_VN,-1,-1;NHFN_VN "NHFN_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,NHFN_VN,-1,-1;UrbanId_VN "UrbanId_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_SD_2024,UrbanId_VN,-1,-1;FacilityType_VN "FacilityType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,FacilityType_VN,-1,-1;StructureType_VN "StructureType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,StructureType_VN,-1,-1;Ownership_VN "Ownership_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,Ownership_VN,-1,-1;CountyId_VN "CountyId_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,CountyId_VN,-1,-1;MaintenanceOperations_VN "MaintenanceOperations_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,MaintenanceOperations_VN,-1,-1;IsRestricted_VN "IsRestricted_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,IsRestricted_VN,-1,-1;ThroughLanes_VN "ThroughLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,ThroughLanes_VN,-1,-1;ManagedLanesType_VN "ManagedLanesType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,ManagedLanesType_VN,-1,-1;ManagedLanes_VN "ManagedLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,ManagedLanes_VN,-1,-1;PeakLanes_VN "PeakLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,PeakLanes_VN,-1,-1;CounterPeakLanes_VN "CounterPeakLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,CounterPeakLanes_VN,-1,-1;TollId_VN "TollId_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,TollId_VN,-1,-1;LaneWidth_VN "LaneWidth_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,LaneWidth_VN,-1,-1;MedianType_VN "MedianType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,MedianType_VN,-1,-1;MedianWidth_VN "MedianWidth_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,MedianWidth_VN,-1,-1;ShoulderType_VN "ShoulderType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,ShoulderType_VN,-1,-1;ShoulderWidthR_VN "ShoulderWidthR_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,ShoulderWidthR_VN,-1,-1;ShoulderWidthL_VN "ShoulderWidthL_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,ShoulderWidthL_VN,-1,-1;PeakParking_VN "PeakParking_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,PeakParking_VN,-1,-1;DirThroughLanes_VN "DirThroughLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,DirThroughLanes_VN,-1,-1;TurnLanesR_VN "TurnLanesR_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,TurnLanesR_VN,-1,-1;TurnLanesL_VN "TurnLanesL_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,TurnLanesL_VN,-1,-1;SignalType_VN "SignalType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,SignalType_VN,-1,-1;PctGreenTime_VN "PctGreenTime_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,PctGreenTime_VN,-1,-1;NumberSignals_VN "NumberSignals_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,NumberSignals_VN,-1,-1;StopSigns_VN "StopSigns_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,StopSigns_VN,-1,-1;AtGradeOther_VN "AtGradeOther_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,AtGradeOther_VN,-1,-1;AADT_VN "AADT_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_SD_2024,AADT_VN,-1,-1;AADT_VT "AADT_VT" true true false 1 Text 0 0,First,#,HPMS_FULL_SD_2024,AADT_VT,0,0;AADT_VD "AADT_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_SD_2024,AADT_VD,-1,-1;AADTSingleUnit_VN "AADTSingleUnit_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_SD_2024,AADTSingleUnit_VN,-1,-1;AADTSingleUnit_VT "AADTSingleUnit_VT" true true false 1 Text 0 0,First,#,HPMS_FULL_SD_2024,AADTSingleUnit_VT,0,0;AADTSingleUnit_VD "AADTSingleUnit_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_SD_2024,AADTSingleUnit_VD,-1,-1;AADTCombination_VN "AADTCombination_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_SD_2024,AADTCombination_VN,-1,-1;AADTCombination_VT "AADTCombination_VT" true true false 1 Text 0 0,First,#,HPMS_FULL_SD_2024,AADTCombination_VT,0,0;AADTCombination_VD "AADTCombination_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_SD_2024,AADTCombination_VD,-1,-1;PCTDHSingle_VN "PCTDHSingle_VN" true true false 4 Float 2 6,First,#,HPMS_FULL_SD_2024,PCTDHSingle_VN,-1,-1;PCTDHCombination_VN "PCTDHCombination_VN" true true false 4 Float 2 6,First,#,HPMS_FULL_SD_2024,PCTDHCombination_VN,-1,-1;KFactor_VN "KFactor_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,KFactor_VN,-1,-1;DirFactor_VN "DirFactor_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,DirFactor_VN,-1,-1;FutureAADT_VN "FutureAADT_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_SD_2024,FutureAADT_VN,-1,-1;FutureAADT_VD "FutureAADT_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_SD_2024,FutureAADT_VD,-1,-1;AccessControl_VN "AccessControl_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,AccessControl_VN,-1,-1;SpeedLimit_VN "SpeedLimit_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,SpeedLimit_VN,-1,-1;IRI_VN "IRI_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_SD_2024,IRI_VN,-1,-1;IRI_VT "IRI_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_SD_2024,IRI_VT,0,49;IRI_VD "IRI_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_SD_2024,IRI_VD,-1,-1;PSR_VN "PSR_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_SD_2024,PSR_VN,-1,-1;PSR_VT "PSR_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_SD_2024,PSR_VT,0,49;PSR_VD "PSR_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_SD_2024,PSR_VD,-1,-1;SurfaceType_VN "SurfaceType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,SurfaceType_VN,-1,-1;Rutting_VN "Rutting_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_SD_2024,Rutting_VN,-1,-1;Rutting_VT "Rutting_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_SD_2024,Rutting_VT,0,49;Rutting_VD "Rutting_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_SD_2024,Rutting_VD,-1,-1;Faulting_VN "Faulting_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_SD_2024,Faulting_VN,-1,-1;Faulting_VT "Faulting_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_SD_2024,Faulting_VT,0,49;Faulting_VD "Faulting_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_SD_2024,Faulting_VD,-1,-1;CrackingPercent_VN "CrackingPercent_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_SD_2024,CrackingPercent_VN,-1,-1;CrackingPercent_VT "CrackingPercent_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_SD_2024,CrackingPercent_VT,0,49;CrackingPercent_VD "CrackingPercent_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_SD_2024,CrackingPercent_VD,-1,-1;YearLastImprovement_VD "YearLastImprovement_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_SD_2024,YearLastImprovement_VD,-1,-1;YearLastConstruction_VD "YearLastConstruction_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_SD_2024,YearLastConstruction_VD,-1,-1;LastOverlayThickness_VN "LastOverlayThickness_VN" true true false 4 Float 1 3,First,#,HPMS_FULL_SD_2024,LastOverlayThickness_VN,-1,-1;ThicknessRigid_VN "ThicknessRigid_VN" true true false 4 Float 1 3,First,#,HPMS_FULL_SD_2024,ThicknessRigid_VN,-1,-1;ThicknessFlexible_VN "ThicknessFlexible_VN" true true false 4 Float 1 3,First,#,HPMS_FULL_SD_2024,ThicknessFlexible_VN,-1,-1;BaseType_VN "BaseType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,BaseType_VN,-1,-1;BaseThickness_VN "BaseThickness_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,BaseThickness_VN,-1,-1;SoilType_VN "SoilType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,SoilType_VN,-1,-1;WideningPotential_VN "WideningPotential_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,WideningPotential_VN,-1,-1;WideningPotential_VT "WideningPotential_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_SD_2024,WideningPotential_VT,0,49;CurvesA_VN "CurvesA_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_SD_2024,CurvesA_VN,-1,-1;CurvesB_VN "CurvesB_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_SD_2024,CurvesB_VN,-1,-1;CurvesC_VN "CurvesC_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_SD_2024,CurvesC_VN,-1,-1;CurvesD_VN "CurvesD_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_SD_2024,CurvesD_VN,-1,-1;CurvesE_VN "CurvesE_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_SD_2024,CurvesE_VN,-1,-1;CurvesF_VN "CurvesF_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_SD_2024,CurvesF_VN,-1,-1;TerrainType_VN "TerrainType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,TerrainType_VN,-1,-1;GradesA_VN "GradesA_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_SD_2024,GradesA_VN,-1,-1;GradesB_VN "GradesB_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_SD_2024,GradesB_VN,-1,-1;GradesC_VN "GradesC_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_SD_2024,GradesC_VN,-1,-1;GradesD_VN "GradesD_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_SD_2024,GradesD_VN,-1,-1;GradesE_VN "GradesE_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_SD_2024,GradesE_VN,-1,-1;GradesF_VN "GradesF_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_SD_2024,GradesF_VN,-1,-1;PctPassSight_VN "PctPassSight_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_SD_2024,PctPassSight_VN,-1,-1;TravelTimeCode_VT "TravelTimeCode_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_SD_2024,TravelTimeCode_VT,0,49;SampleId "SampleId" true true false 12 Text 0 0,First,#,HPMS_FULL_SD_2024,SampleId,0,11;ExpansionFactor "ExpansionFactor" true true false 8 Double 3 10,First,#,HPMS_FULL_SD_2024,ExpansionFactor,-1,-1;SectionLength "SectionLength" true true false 8 Double 4 10,First,#,HPMS_FULL_SD_2024,SectionLength,-1,-1" # AlterField HPMS_FULL_SD_2024 DataYear DATA_YEAR DATA_YEAR # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 StateId STATE_ID STATE_ID # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 RouteId ROUTE_ID ROUTE_ID # 120 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 BeginPoint BEGIN_POINT BEGIN_POINT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 EndPoint END_POINT END_POINT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 FSystem_VN F_SYSTEM F_SYSTEM # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 RouteNumber ROUTENUMBER ROUTENUMBER # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 RouteName ROUTENAME ROUTENAME # 60 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 RouteQualifier ROUTEQUALIFIER ROUTEQUALIFIER # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 RouteSigning ROUTESIGNING ROUTESIGNING # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 NHS_VN NHS NHS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 StrahnetType_VN STRAHNET_TYPE STRAHNET_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 NN_VN NN NN # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 NHFN_VN NHFN NHFN # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 UrbanId_VN URBAN_ID URBAN_ID # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 FacilityType_VN FACILITY_TYPE FACILITY_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 StructureType_VN STRUCTURE_TYPE STRUCTURE_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 Ownership_VN OWNERSHIP OWNERSHIP # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 CountyId_VN COUNTY_ID COUNTY_ID # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 MaintenanceOperations_VN MAINTENANCE_OPERATIONS MAINTENANCE_OPERATIONS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 IsRestricted_VN IS_RESTRICTED IS_RESTRICTED # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 ThroughLanes_VN THROUGH_LANES THROUGH_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 ManagedLanesType_VN MANAGED_LANES_TYPE MANAGED_LANES_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 ManagedLanes_VN MANAGED_LANES MANAGED_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 PeakLanes_VN PEAK_LANES PEAK_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 CounterPeakLanes_VN COUNTER_PEAK_LANES COUNTER_PEAK_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 TollId_VN TOLL_ID TOLL_ID # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 LaneWidth_VN LANE_WIDTH LANE_WIDTH # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 MedianType_VN MEDIAN_TYPE MEDIAN_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 MedianWidth_VN MEDIAN_WIDTH MEDIAN_WIDTH # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 ShoulderType_VN SHOULDER_TYPE SHOULDER_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 ShoulderWidthR_VN SHOULDER_WIDTH_R SHOULDER_WIDTH_R # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 ShoulderWidthL_VN SHOULDER_WIDTH_L SHOULDER_WIDTH_L # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 PeakParking_VN PEAK_PARKING PEAK_PARKING # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 DirThroughLanes_VN DIR_THROUGH_LANES DIR_THROUGH_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 TurnLanesR_VN TURN_LANES_R TURN_LANES_R # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 TurnLanesL_VN TURN_LANES_L TURN_LANES_L # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 SignalType_VN SIGNAL_TYPE SIGNAL_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 PctGreenTime_VN PCT_GREEN_TIME PCT_GREEN_TIME # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 NumberSignals_VN NUMBER_SIGNALS NUMBER_SIGNALS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 StopSigns_VN STOP_SIGNS STOP_SIGNS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 AtGradeOther_VN AT_GRADE_OTHER AT_GRADE_OTHER # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 AADT_VN AADT AADT # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 AADTSingleUnit_VN AADT_SINGLE_UNIT AADT_SINGLE_UNIT # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 AADTSingleUnit_VT AADT_SINGLE_UNIT_VT AADT_SINGLE_UNIT_VT # 1 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 AADTSingleUnit_VD AADT_SINGLE_UNIT_VD AADT_SINGLE_UNIT_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 AADTCombination_VN AADT_COMBINATION AADT_COMBINATION # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 AADTCombination_VT AADT_COMBINATION_VT AADT_COMBINATION_VT # 1 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 AADTCombination_VD AADT_COMBINATION_VD AADT_COMBINATION_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 PCTDHSingle_VN PCT_DH_SINGLE PCT_DH_SINGLE # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 PCTDHCombination_VN PCT_DH_COMBINATION PCT_DH_COMBINATION # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 KFactor_VN K_FACTOR K_FACTOR # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 DirFactor_VN DIR_FACTOR DIR_FACTOR # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 FutureAADT_VN FUTURE_AADT FUTURE_AADT # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 FutureAADT_VD FUTURE_AADT_VD FUTURE_AADT_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 AccessControl_VN ACCESS_CONTROL ACCESS_CONTROL # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 SpeedLimit_VN SPEED_LIMIT SPEED_LIMIT # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 IRI_VN IRI IRI # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 PSR_VN PSR PSR # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 SurfaceType_VN SURFACE_TYPE SURFACE_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 Rutting_VN RUTTING RUTTING # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 Rutting_VT RUTTING_VT RUTTING_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 Rutting_VD RUTTING_VD RUTTING_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 Faulting_VN FAULTING FAULTING # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 Faulting_VT FAULTING_VT FAULTING_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 Faulting_VD FAULTING_VD FAULTING_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 CrackingPercent_VN CRACKING_PERCENT CRACKING_PERCENT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 CrackingPercent_VT CRACKING_PERCENT_VT CRACKING_PERCENT_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 CrackingPercent_VD CRACKING_PERCENT_VD CRACKING_PERCENT_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 YearLastImprovement_VD YEAR_LAST_IMPROVEMENT YEAR_LAST_IMPROVEMENT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 YearLastConstruction_VD YEAR_LAST_CONSTRUCTION YEAR_LAST_CONSTRUCTION # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 LastOverlayThickness_VN LAST_OVERLAY_THICKNESS LAST_OVERLAY_THICKNESS # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 ThicknessRigid_VN THICKNESS_RIGID THICKNESS_RIGID # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 ThicknessFlexible_VN THICKNESS_FLEXIBLE THICKNESS_FLEXIBLE # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 BaseType_VN BASE_TYPE BASE_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 BaseThickness_VN BASE_THICKNESS BASE_THICKNESS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 SoilType_VN SOIL_TYPE SOIL_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 WideningPotential_VN WIDENING_POTENTIAL WIDENING_POTENTIAL # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 WideningPotential_VT WIDENING_POTENTIAL_VT WIDENING_POTENTIAL_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 CurvesA_VN CURVES_A CURVES_A # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 CurvesB_VN CURVES_B CURVES_B # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 CurvesC_VN CURVES_C CURVES_C # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 CurvesD_VN CURVES_D CURVES_D # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 CurvesE_VN CURVES_E CURVES_E # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 CurvesF_VN CURVES_F CURVES_F # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 TerrainType_VN TERRAIN_TYPE TERRAIN_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 GradesA_VN GRADES_A GRADES_A # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 GradesB_VN GRADES_B GRADES_B # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 GradesC_VN GRADES_C GRADES_C # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 GradesD_VN GRADES_D GRADES_D # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 GradesE_VN GRADES_E GRADES_E # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 GradesF_VN GRADES_F GRADES_F # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 PctPassSight_VN PCT_PASS_SIGHT PCT_PASS_SIGHT # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 TravelTimeCode_VT TRAVEL_TIME_CODE TRAVEL_TIME_CODE # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 SampleId SAMPLE_ID SAMPLE_ID # 12 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_SD_2024 ExpansionFactor EXPANSION_FACTOR EXPANSION_FACTOR # 8 NULLABLE DO_NOT_CLEAR HPMS 2024 SD South Dakota Full intersection of South Dakota Highway Performance Monitoring System (HPMS) data as collected by the state department of transportation in calendar year 2024 and submitted to the Federal Highway Administration in 2025. See the HPMS Field Manual for additional information on collection requirements ( https://www.fhwa.dot.gov/policyinformation/hpms/fieldmanual/). HPMS_FULL_SD_2024 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsvVeXJNl177cjIyJt+aqu9t6Mn8EMBgNHgryXvLzk0pJ7kPSg pRd9CX0DfQU96ElLL3rQuus+cIn3ih6EGwCD8aZ7enram/JV6TMjI7R+/x2nunpMAxgQBMTOAzZ7 uioz4pht/tuepN/vF71ez/I8t3q9bkmS2HT86x9FUdh4PLZqtfq7nsq/yjGZTPR3HMe/66n83oy9 vT3b22vb0tKiNZvNr/QMSafhcCiBNSXeJ2dEUWSVSsVGo5GYaspY/7yD/cyyTIqBvZ4OE73FcUX7 8lWHBNZv8oDp+P/vAE0HpDUVWP/8CAsGnQqrhyNN09/Yitv/JoQ7HU/egKH4A8KGwabjn2dMkdXn B66nTqdjrVbLfiOBheSbbvCTO0BXCCxQAcKLf0+RwW82pvz0xQOl+BsjrECw0/FkjoOmC4wWHMb8 fIq6vtpgP6dC6/Mjz52+vipdSWDheGVzp2bhkzuCwAomIrQQlNhUaP36AxAQEOsUrfqo1WrW7XZt Y2PTjhw5/JX2RQILwpwKq+kIIzBZ8G1N/VtfPQob9m4qtEwO95mZWdvb27WdnV1bXFz4agJrupnT 8WVMxwjoe0onv77QOmhiByH2pO5jpVKxVqtpeT6xyeSrpXxIYJF/hSZ4UjdyOqbjtzGCgArWy1Tw mxzumMu9Xv8r7akE1tQcnI5fxnhTZfab711wvTzJaDUS6jTl/oE8f92I4X7i6NTpPh1fNJ5k5vrn HuzjwQjsk7qvtVrVGo2GKmy+ksCaOt2nYzr+5UzEwHNPqtCqVqtWr9dUW0hN4a+zB/t5WFOzcDqm 47c/Aq+FtJEnUWhVVFMYC2GR+T47O/vrZ7pPne7T8WXE9aT7XX5bfi3MwydRaEVRpJwsSnRAWaHG 8FcWWGzcFGFNxxcNmCnQx5PEVP8SI+RpPYl7W61WbX5+3ra2tm1ra8tWVlYkuH7ZPkhg4bGfOt2n 43FjirL++cdnqwqetIqCNE1tfn5Ome/tdltCbGZm5rFCa9qtbzqm4/cEZQW3zJOCtqIokil46NCK BNb6+rpMxcf15UsO9kWajun4MmT1pPlZflcZ8cEh/aSMqBRa/L27u7uf9vFlY+p0n47HjuBfmQqr 394I+/skK4VKpSJ09cu6xjzSreFX9dRPx3RMx28PyT6JI4oiWXrIosc1+JtGCadjOn6Pxhf5sZ4U 1FUUhQTW48a0W8N0PJaAnsSQ++8yoTS08wk+5SfFpxWVvizaKD+O5h7xYU3HdHyZtp8Krd/+CO2p wzgowP61m4qVSkVlOtvbO48tit4vzWFMiXI6wggKbCqsfnfjSbogJCqDDuSEPq4oWj/t9/uS5lRQ T8d0TMfvx3jSEkrjOFYX0sfdrDNNHJ2OLxxBs0/H724EP9aTYvlUKhWV65CP9WVj6nSfji8cB5vO Pcn5Qb8P40na+yiK9i2+L1q3BBbe+Wm3hun4sptfppHC6fiXGMggnO6P85vudxydNvGbjsfd/MJ4 Unwpvw/jSUwkLYpC14AdO3b0V2uRPB3T8dkRGGaak/UvOw7mYT1JCnJubvaxvtP9SyjCVeXjLDMr +PKj1zwdfOijwi1cwBmewyZ/8ef8n9imD5/12ecXhrOX///wOQc/w1/8LJv4v2N9Zn8Cn90BK/Lg uHzYAJ+38Hf5K72nyB/+m5fzb5/rQ2ga5hDHkcWVSJ+Pymfpj0VWiR6uj9+Gfdl/dNiXA++qlD/z tT2cJ2sM6/N38eCHz+d9+3tX7ov/7rP77u+v6HdlOxN+UJhV4vJ75a28mm+5z4EOfL8edhPY/27l 4frC2eyvudyX8M7we36ut/n/HTj3h3vsxxnW8svGo3M4OMJ+Pu67j779y/79uJ89nKeT1ucd5Z+d R6DBg886SDO+114IzZl8fg72hfz1+X345ev5Zf6xL5r7b8ulFhr7/UpRQhxdo/HY7q0PbTga2+Gl 1JqNmlUqsQ0GA20gPg33dxXW7/f0vSyv2MZe1RZaIxsMx7a+ndkz5+asUa9au9O1D671JcTm51t6 Rqc7tAJHbpxYklTNionlk6F2IaqkNikSGwyGdmje7NSRqhYQx4m1Ox3r9nPb3Mvt9PF5+/Baxzrd gRi6UU8tK6p2fDnX8+5ujO3oIRZcsZ29ga3Mmy3Np5Zb1Tr9iRWTkfWHE7u/5Q3xF1pm7e7APro5 tKKIbXmxafce8L6xNrFaq1uaVGyv3RVBnDxcs0Mrs9bvD60SZTYc5rbXi200iW2hNbHZRm5JXNFe VeLIJtnIRqPMRpkXeI6zXNccpUlki3M1m59rqCRhrzO01cXElhfqNs5Te/fKli3NVazbL2y3l1gU FXbuSGS73cyyScWaDa5ny6xeza0/NJ1Xs1axexs9G40nVq8mVol538QWWpktzyeWpokNs6qtbXat 3R2JbJlnXElsZ7dj1ZTuHRWbnWlZkWfWHwxtMsltab5mx1abVrHM1rYGdnttrLU0G6lFxdiW5wrr Dc12u7EdO1S1yXhg1+8P7cRq3XZ6qRX5RPPKJghG9qZmSy1oyrXp/e2KDceFjYYjy4vcFmar1mrU SgU6Es2MJ4nVGzVrVHPLxpRwRDY3U7PlhZrdW+vYXnds253c5lpNrWs47NnibGKrSzXb7ad2aK6w 3fbQtvYynfvhlbo1kollk8w2dyc2GMMOkegfWm3UYmvAAxHnNbDegDlwhnUbjobKGUpi5lC3Z8/O 2p0He7bTGVutGunC0LhSWKczsDQxW1msWZYn1uuP7O5a3zr9XOflrYJHAgtpEltaTW0yKWw46Bvp kfVaaovzTc2hVRvbxm5ms82qPXV23ta34IGRfXpvZDOtlp05WrONra7d2xhaVEms2azbJPM7APl+ HKfKb2JPmXurUbHF+bpV09TiKLOd9tDGWWFpWrP+yCyNBra5m1mzkVhabVm317csG9m5Y1UrLLVW s25bO13tH0KsUW9KmU+ysRS3RRVL0qrmsL6NfClstlU1q1AzmFmRjy2bRLYwW7NaPbVOuyNamp9J 7fDhw18usJDk5GA1mi0bW2F310dWJIkdOkQxNIjn0YsgXQMsagIfXh/YWju3zqhuo3Ful28Prdpq SfsOx7Hd3avZ/Exsk15s2+2JnTg0b0+dqtlMM7aPb9M4MLczRxJb35nYrbXMdtu53V2vWpSm9uz8 jM3PuEzNKzP2zs2udXq5xfWGrazU7WvPJpZUIvvZhz0bjiK7veNQ56PbQ9sZ1WxxLrbtvaqtHKrb 0krNNnZyu3ynb50ezBDZxm5u9WrFJpXYxpOW9fOhLc+n9tqLs/aTd9v2zid9W55LbHGOSgCzKJm1 SV5YO4vs2uXcKlHTlucqtjwf2+7OxG7cH1u9avbM6ZotzcW2PFe1uVZsu53Miv7ERv3ctvtm6zuZ JZWGDUaFfbLu+//q0wt2+V7frm+yx5GI70Fn0f727b7NNCvW7hcSRp+uV6xRi+zocmq3tgut4+hK YpPYbKNrdvv62Iaj2F59umHHVqoivBv3Rna/ndnOiO9W7MWLLZtELbu717djK4k9c7ppV26PbG+z aoNurnc/da6l9yCsbj0Y2Uc3Rja01J4+XbXzZwvLk6G9fXVkty5nVk1qdmQpETP1BoWdOMy5tOza ndTWuzX79N7YdjsggqbQ7LNn6hblFXv946E9d65u99bH+kx/VFiWxZaTE1irCHlO8sRmm+x/YQ+2 PQDQrFdsMEwl4NIUATW2/iC22Wai8zy8VNMeryzU7dr6xFa3U1vfye3EamKXb0xsabZmuUV2pJ3Y fIsul2af3B7ZKDN74XzdGi2zejWyCydr1qon1h/l9saHHfv7d9o2zsyePlO1okit3ctEm1dujexr FzNb34ltbbvQd0fZULQwHJkE2Lljkd24P7DBcGKDUcXGk8hOHKrYMCtsbbOwSlSxhdnYZpqRhGAl qttgZPbUqbp1skRneOpw0z66PrDvvjRjjUbLPriZWavRsNevtK2WRvb2tczWtiMbDGu2spBYHXq5 OxY9HVqo2mhstteDPlDsTrezLWhoIp7c2q3Ym5f7NszGWhdn2e6iCAtLYoQsZ12xxVn/TqsxkDLd bvPZ3Jp1hLNbGf1hLuEXxyMbj3MbjCZaV6M2MovG4tNKpdC8R+O+1Wsje/liarO1sZ0+8eU93vcF lgui2Np9s4293FrNqkWVqgisFn++oZbuFptMbG03sz98GQ1gIqD+uGNnjje18L1exbKiZieP1MW4 H14fWrWaWJxWbaaV2MpCbPc3M7u9EVlvENn8bGqrS9gKA+uNzd68mtu3X0gsjiJ7sJPbBzdk2Nhm Z2wr84nd387t2KHUukPQYMWeO1u3wbiwnV5XBJlbbHsDs49umQ0nhXX6hcVJahdON8QQSXUkAqzX YhuMJ5blZocW67bTrdh2N7FRVpMWnm1V7P7mxJI0saWZ2Aaj3FojDqwikN1spnbiSG5Pn60I3RWV yLZ7ZoP7ZrNNswZacq5um+2hXX8wslNHmtJS737St1oKUQ3t6l2zcVG1Qb+wxZnYLpxo2Va7YnmU 26GlmtV7ExH+pZM1u3SqZouzsf343Z4dWkzsxQt1PQf0uHh7KO2NrffxHaSsWXsQ26kjdTHzYAhh 1WycF3b2eGK1asX649g+uN637TYVD7FduW22ulzYueNVCd48qllrZmIbO35WZ46m9uy5uh1emdjl myPb2pvYbje3X3w8EsHOzcYiztubmT11tmZnj9ckZNa2xprbdteskVVsp5fYzbXIHmzFVm+AZtzM hIhvPhjpmRD7nU0ESCyECvrojyMbZxWrppH1urlt7BbWqqc200qtiCI7vNKwPAKNTGw4gl5YU2a3 1zN7+dKcvXixYW9f7VuSxtYdmd1eG9lOO5ZVMSmqNrHI9gaFre+CdmvWGU7s5jqfrQohvnl1YocW EhuMEnvhfMOyYmzjPLILp+qW5QNr93N7sJPZ4iwIHxQZ2WhitrGDKyO2Zj0VAry37a6NzrAqOkqq sWWFjHMbZbFt7RWaI4gTJRQnibVmZqxaa9q1+2Z7w6oNMrOba4m98lTDbq+P7dYD93m1hxUh+Y1d BEhkO72K3BzdgdlMI7GFmcRGeWSbbbOJxVarN2wur9mxI6mAyCd3htYbx3Z/Z2zz41i01+5HlsbQ e9Xyodn1BxNbWUD457a2O7ZTjaosCoQX6x9lhQ2GhXV6pjUfWU6sGEdCs0kMX1SktPn8sUOJfe/V VcuHO7ayPPd4gQVMlOlTrdipw2jKiV27O7R6LbLjh1IJmzDYYEwziJ9dRptweAwmmKYVaQN+j4ZC cN3byESoSF0IEZSCpD68lNjadmbbbZfce92JNeuOMHbbCAS0+1jmx/V7I1vfdiGBGYiWuHZnaHfW x7bXo5m/iYBnGrG9dLFhS3OJ5gmTrS4ldv541bbbucwBNAuEhx+q1kCLFzokBAHP59md3kTze+ZM Xc/54NpQv0dAfHRjaPMttGQhkwOm2mlP7NRhIHdkG9uZtXu5CBYtwzwPLzsahBxv3cfEKTS3+VZs C7OJhAPokZ/x3pXFxP7dazNCLS9dcIEPk7GHe91c3+N8ZhoVCQP+rqVme4uJrS5GIg4IQUJmbWSv vzeW4G3VYfyu3V0f27njNXvn477mDpOhhI4uO9r94NOhfoZgXV1IrRfnNsnN1rfHdmd9ZE+frtm5 46nee2djYu9c7dupwyDKivawPywk7H7yXk90gUJjv1kbZyb0loM+KnbmaMWW5hMhOfYTpthpY+pW hLZYL8TNmqA39rbdm1iv70iMPUECQD/rO4WQWn+Q225nYk+drtmlk3Xr6jxiu7U2tq32xO5tsq8N 6w5yW9tyCwIleHg5tbmmMxLeND7/1scDIZULJ2o2zzMejEXzzAMhN9uK7a0rPQnYrb1c+8w+Cr3n kbXqCCaTchxPzA41YhuOin2mpWcd9Mf7jq6kVk3MXv+gLz44eaRqWeYCJC/MVpdSO3E41bNF06VA PHootYsna/bzj/qi5wdbmRRrnuMkNet0C9Erz5xpAhYSvXO3O7F2N7f3PnF+7w4K0f+pIzXRCEoe 5QNds8m4jlk3PwPxYgFlOUic4F1hRZXzj63VL6wyRNDmNhybLcxW7NCi92zHdTAaFUK0uE5mW863 99ZHNu7t2dlThx4vsILjDaKan3FBAkEdWU4FKw8OmPfNK32hKQiATQh+PhbxtYsNqyYOa3c6mcyy E4d8g/kZxLqxM7G3Pu6LsG8/GItoZhrAaARH7L6q3Yk0A4gAgmTzHFICIQv5YyAcGAco/d4nA1ua RRNUbGEmFnq7hy9rORXchbAqlUzPgnHQ1LyHZ6Wpa/XTR6p6B34chABrYd5sD4SM0MSm52erq6mE yfwsgjYXsoJB+GxviMDLdciri7G+g1A4eTiV4ManwT5AgDyX+c5KUEJQTsQ//aCnefNvzCGEZRC+ CMGdzkTv7faHIj4EC8xQFC7EWCNm0a37Y+t0cxfm9diu3x/ZlVv46tzEvHYX39lEjAJzMn/2HvP+ 5trIvv9mV2YSzAFdMMcfv9vV35iB7BM+whOrVaMzCEQPo5w9VrWV+djub2X2wacD+TZ5NmfSqCNk Yzu+mkqoMpbmTXTDeyeTSM/d2cx0PtAJAno4RlC5ssK9wFni88PcgUERWAjBta1Mwo3PgfjOHEnt 9gNM+9hurY+lVEOQgX1ACfFZFB9nleeu7ECsvAdhvNMBmWIKOm2wxgdbY7t8EzrHLI11bq1axVgR ihhhABMPhjA5ShUkWNG+j8euZDkn5siZVuPCDi8qCiJmbsikzEXjn9weigeg1fevDeyVp5oSqr+4 0hffvnW5b8+crcvvhXDke+wlQnEW9Fp3/pKSTiO5aeTnG/vcQWOYzXwGZTo/UwbTzOyZM25iS6HM Jdrj7gD06kEaeAmFgzDkPDhr+cISFKRZNhtLmCLwr9wcCnBQKhiCBLyzKTdHZLtRYQmTfpzAIvoz HuOIdMkDcaMdYaSAqoB2CCeImUOEgdioG/dcgDFpJotwCgeADwiEMtus2OYOzvBMjHESZt/JdHAv P9UQUUJsaFMI//7m2JbnHQk92Mzs8LGqGJsDA218dB3fR01CAv/ObDOW0EOzjie5iOXdTwr7+PZQ JhTzkWCKPSKIBmKzWBebNcxyu353IqGCtuK9HAqfAZE9e7YupuN7aEkc4ZhBEC/f51AR3hDxXCMW A3BoN++P7P6mIwKIHAHFs9G+54/XpJnZM/ab/Wo1xmJokGlW7jUwHpTL9xHGCGCID2JnD2HmQwtu gnEGzEWRRQP6g1xia27giM+0JoTt/c2hzvD63ZFQ1Lefb9p3X2jZf3q9bQ1QwSRzRordZAGN8D7o 6M56prmcXK3KlMbw3utmEnqjLLfLt2gGyb5NJLRheoQS85TSqhCoAcmlOrMsiYScmQ90gqADUfO7 Yyup9oVzQJixjzxDWn1SaN84VxQHwgsmh6ZA6XweBua8eNZeLxdqff5cXe++cX9kX7vUELPyDGiV 7/B+/JYIwJsfjiSsQDEoblecIE3eXRFdMcf7G31bXUx1TswXuoQ5b9wfau3EDTh73BbMD4XW7mN4 moSO+3tyO7RYVaDp/tZE9AHK/OTOSEru3tZYZ8J/M98XzzvfIESkEDsTW9thH/ADFlIcCFBZNqNc KAhaRdEDRPAdQotXb6cSFii9964NbGuXYNRY/isQOHsPHW3uenQY2kJpQqchmgxtcB5YZuMJ5vVE 589zQ3wSWp9rOl+xb7KSxoXoj304ddisHu/Z3LFFi/nl4wSWCy0Y0M0CCOPBJs45F1JsuENCs17f iQ/tL62QOmGzGT+/3LcTWx5Z47sIDmxrtAoai3kApSF2mBGpja3OBmMWspgKvoedTEQGEuHwcUyi ERBoCA+ICfgNogFZsaEQ7ad3RhK0ED/f44A5TBgTtMbnNNexzxut3agV2mzWSLSFdYEm2NR/fLOr zzEXhCjrQEAyELBsOO9Aq0GsoAm0+IsXGvrdh58OxOxJkpdpGIWdP1EVknvmtJt5QlAFJtBE+x4I GH8cKOvEKn69VPuHaccegHQ4J95RTQvtA2cB4sJcu7VmdmQpFRGzDzwPIQoiWJp1UxHkyu+ZP8+d m5mz155tak/Q4k+fqgkRMmvgO3OEFthbTFiInefi9GfPL550gmbOCFail5iHrId1so8w9/YezIXZ hC+nYicOV+VIRuuz5yif1YVCKAkmCloYQYo/hn3EhIF+oEP2gf3nb1Aq+8W7YErmzrPxkyLM+QwK gnVxftABpj+0izAWMp8nqoj/0t0E2ttJYXUrdPY8JykcASIQUNwwOAyKSVzFpRFFcg+AqECzKFF8 XaAszom573awKuh1FVB1JD/RXZnXA72X97N/uCBk+tcqcmvw3z//qKc1gKZget6N4EdBsIcoDxz2 CGbWjRUCX8JTIC8EDvOrp86rnCXnFP6AjudmEOa5feeFlh1bGYs2Prg+sHNHq/vrgMeZD6b6JuZp z83bbIIiMz0D9M9hvItA3Mv25Qq0h6LHZfX0CfzmLd2a87ixbxLyB1Sw0R5oIzg0InkQOZrSEVVk eynasLRr40iagIVj6968v6eoE6YZC7297vlMPBtzA+0FuoIhEFz4qDisrd1c72KTYEI+D2qAKBBU oCSID6HB5qPhPrk1FMMpgtbLRfAQzTNna9okhAcam7XwbvxzCBxMIoRutRpJQHFQaB1B2R2YDGcn tpWbN6z5jY/60mR/+o1Z+UQ4HDYdjcTnTx9xBPTXP+uIuDhMmBOmRDOfPVqVeUyYHMLidzBbyAlE FTB/zNal+ZHWA9KDQPrzuYiOn6Etca6DBGBuzoS1bB/wQSEs5Lvac9SD8Mefk7RcsYA+Fkuf2c37 BC9AhoXMXYQDc2LfmBT7gml9MI+PdRP1ZH8JcLB2znKuiZmK6VkRImE9CDKejVsXAclc1rbHilaB yl+51NAaw/6zDpAsP0P4EYGWUkwcLUBTDK23S56SCyD2zX17E9GWggujXIKNPUMYcGb4Gu+uT+za nZEUMsoMXyc0lsbuskAxYHLhe+VvGJLB+SLUMLmZDwzHZ3/4Ttdu3BtLwDEQDDAhc8Q6YO8wyZgn wiL4KaFhzkuoY5LLBOPZP36vJzrne9AIKAXr5qULTQmn9Q96UkIgL9YF07M3vBfkNhi524TPcp6c A0AAYYd14wKr0Pnhy5upV8Tr+DaL+UgBIPZyMI5stFOIFlDiKADxmPx/LuxYJ/sKD7D3/J69yVJH +uhoPnP2WE2KAeCACcr7He3FdnzF7OsX3P+7sLDwS5sV7vfDSpLUKjmmDoxVUegZ4pcGq2R25mhV m5xsmm13Ht5swe+Bj1duOXHJv7OIMKpIi3x0YyCi5QBBBsGE4nkQHN/5JMKujYSeQAmYgzi1XQPm Ehyf3nVojMCBaYHQaCQEAAxJ1AtG4XDZcA6ad3JozcZEAofBc/AtgKJg1o1dswsnqmI0BBaOcoQm zPbKpab9w5ue/yVUMirs6VN1mWQMiJ01sC5+j4b+JCtkNqHt2K/TR6v2wrm6JUldBAxTgBwQOPvo lpKEElESIUSg8VuQAA5cTF3WhcBV732Zhh7h43toY9bKM4+edc3OPvM7iElpFEmkdULYCMNvPNOw v3uj4z63QZnYWpj94jLmDakEFUeynYkCBqwNYQWB1pdSrZn/JljiCaScb2x//ErLrt4eaX8ZOO85 Y95xZ2Oo/VJ6xt2R9gKBAHPxPoQaAh+UxOfYd5AnwmKuVUgw8i58dSg4mIDv8j3Nb4yTl7NjrS7M s7zQf7Nn+KjeutLXulBKnDNnyhzYuyD0Lt8c2rufOBqAHnF9QFvX745l1qGUoWJ+98GnHdEpgh10 CdrgmSBBonYIuUkciQ8QQuw0aJz5gwQXZ6DlyM7gg8wie+eTgZzW1Zj8pLgUMo48t9oupIm2Y60I wQ4LCXh/VixeYA/c7IoURedn+KYPLcbiHWgVegEhxZFZf+AKi7Nm7UTs+D2odq6VyE/G/qIM4AsC ctAn5w8tQ0/wOz9cXUhkluJEZz8RdNAYJrmCQ82KZRm0Xth3nkusVR3Yq0/X7OTR+V+ps+o+wkIA AHfZfCS+O4Cd+UEySHQYEOl6aP7RrjQiwjpRi5rgLP99rok9ngqdMCTE6gixiQ71YOSRjYW5lExX j+xYmmhj+RkREeaExuX7/AFFcVCYPzA334Ho8E2gvTjoV59pioDYrOMrqZgbDQ0z1Hfd7yWH7WJu xw9VFcnjEPi550FV7WcfdDVfhCIEguMTf0CtGuvfCCOEAwTdj0z+EX6OVgERYdbwe+aGScZ6Nvcy oUyYdj9DugjIxVFSiLqi+UGLEDqoNSgTiF6Z76V/Ac0GY8tEjdHMsX6u4MScC1POBCYCraHZILIz R6piggsnEvk0iGIKRUtb+lnd6rlPAzOXf8MkmPSYvg+VFo5SIsqJ/dlrs3b+OL4bpxWYF/rAZ4Pg 4tyZG3MimgzKkand8PlBY/yOz/EeED4+LxSYroLq4NcrdJ44etHo7ANnCWpEyPFvfKdvfNSTcIDJ QB93NsaaJ+9j8A4YCmEZkBx+GBC5EozpxpuUqQc9V36LBdYDqBoBQ1QQH6Kjr9sPRtpXnrlXfh7G 5z1ejeGIh/lwHk7XzmO319wl4nFk0IlqBUrknUhRb+yC9pxXuyOnFeYH/YOUED7MGbqTyRWbJQSu Rm56hWAMvrIjywQNMgkiaIroPbyzvjMW4mK9tZWKlNzbVwc220Ahun+b9cCr0Hij5sEl5glaDC4U nOoN833hPKFvEmmLIrMTy7m9fDGx773StKio28pS87EXT3xOYCGoyHIlObE7cMHCwjl8fEtbu5l9 hCe/NKkWlAxJSNMPgp9jL08ysx+82/Uky5IRidZAeAwIg8NHs+5PoNQkoDYI+OIp14YMCafT9X0T 6we8ezYKAAAgAElEQVRvdz2jlkhMngvhwCRELjg4DhwGAMIi8TH5YIDzJzxvSeammQ4eBue5oDQI APu7N3RkgquQjedlMCoaGpj+/bc69jc/a9vTp+vyl/AwzyFJpeWePuNEKBNpxhEmvgLeJ4d8y01U hDqoSbZ9KbDR0EIvQi0eReS5SoDEtCr9UJiBgt7po3uIANvcySyfoO0TESef4TscJowR0kt4BlqX NXNG33y2KSJlHjDb//OjPSEQvouwkUmdDkXE+HgOvjsUzSO0FdUdETHN7EfvdrW/MM5kTLDCzQv2 gP9WORTCWRG6wj65O7LluViRx+CUxbTh3JizzKGdsZiRBR0CXa9WdX4+byLbuBAKmXtvf9xXNJOz IrEYhQu9cjYgB1INmo1YCgwFwhpxiaCcoVFoEP9SGrvphtDgu8ydvYbWEHAgXfYbAc/a+R7C/5/e 6oihQRsnVj31JNAcQpFn8u9a6sIetBMCDPh0K2Xkmj3Ab4Wi6Q2ICnvk01GXK35ohDmjqDC/SH9B 0COAmCvfY285fxQNbg3MaMw/zor3KNG0GsnnhumWlj8LyB9kiTk/yTw/j1zyyzcGslY4d86E9yMv sIpQEJ4ACxpGqeZWTKhgmdhrz9Ttm8/P2urKrNqz/zr1kl5LaGZ31kbWw27NYputPPTicwBsCoSB VmEhECHhydVlMoVjCRY0C5ATx63nwJAnNdrPmwK1MPDpcFjuj/GNx4chRxwh1QOlUOwDv5cXJHft i6CUcOm78xGC9+zmVD4PTBTewUFBjOREQQAQF6isOyQq4RAbJyh+nmB7A88hSp4HUyKoIMhIoWBn SIifeeJXk3mSMS93/BKRYrD/CFMzTAoOK7WTR1JpwdurYxEJiA7fltcO+r7IH1F3E4u0D4gLVDc5 WhVkP75a1V4fFBhhn3gnRMtesd/9kmBkesIEYyJSHpFBE2IGXL6Js9vTMpoN94/xXULQ7CWmOBp4 YWZiv/jI1000DKGDyYeg1zPLesHb6xP72Qc9mZWsL4TO2X+c/aAG9pozZI3ybxKVTjz6pZIdOZYn 0v6YjTA6+8L6WDs+M84WQQZKddThyAWhBtPBLHM4mNOK0Nnr7/e0Z998rqlUmBOrbs4FxEGaTWBe hAhBBn7OdyZVfzZCCPOMOaF02B8EOIO5EiQhIktQAfpnYWNyq4qi5KNCCDn4GVk3giCg3Z3OAfqX /zCWomWfQtBgiGuApOW6gwqUC0IRIXFnHbPMc/PEamXwjGeCcvhvD3S5DxT+hP6xOnYnhX18k/I4 32PWDYgAeCB4+Tdo/N6GB4jYZxAvPtqiDD5xfvyBxxDAoR4WgZbnYztz2Oy5s1VZIRdOzdlMq/GV CrvdhwXxRITGnWCJMCC12SSHy9i+HvLFrwKKwNYlBEpCHhT71Klq6cBM7K9+tKfIHiYBhBWKd0El PIczYRMwV2Co8OwvGu4jI0rntXAcIs5QmFORuhFMUKYojAvl9qBBa7VI2vVHu54kCeHye07SNQK+ jzJdQykFJM2mOjAEhfxiGU7lmvxzmHX8HO0CE8tRWwpbGJg9zPb7oLtvDuJGy5GmEKD3M63Y5ltj +WpCLSp7A/EjiPm8EhwfjBX1hHk/udMRkSFA3WQqi43LPUJ4s0bQIeYGBPX+taE0G2uCIZiPwvvd vHSamvaHv0EVMjPL8DQYk33F77c015BJzHzZP4gcbT/X4jOeu8P7QA2XbwyldXlPiKKh3BCcIEQE CfsrhBVF8s/BRKwEnweCH2c67+XzKBXmw3NQmjAJZ0BEF6EHM8jEnUvK55i1y7SV58/WhZgwyXkf Ahaa45zZU35GCg4oFvpC8XKm+KoIpox2qb+LLC5NSA+0wPQk4o51HqBWhAT7iUn66jMNmYWgFFAG SkO+sUEuFOepL5xDIUV5ZNl5A9r65I7nGRIQUXVJmeqCwgo+tqyMrLFP+ditgxv3WaNH6DB5r94e 7jvaLSrNayXCujCBr9mrQwvk75UBrcKkEKEDpV40XPDzWcqDiAQjyLFcoB8EJFzMPnNG1bEHIMIf BBn7iRJnLrP1vj17KrX/4rtHbHGh+Rt1oChLc9AgLWvW63btvmuzkE8CsQanGQtCeqMFSWZDiGC6 cED9AcWijnRwNiL0POTvUQy0Ct8VGjCS4ipCa182VPpTmhR8CgLo9iYyCdhM7HIkOtJdWlymULyf R9Is7XKIH2JC+6ElgLkyn8rcFQQyyBETDW1D6BXCgkAwIzhImAgBzSCZlHmFlAY5zCmFkXnkzAJj 83wEKu9jD5lzGG5SkKCn+lAxFRqQJFpMzw/ktPQgAOslFwgNjyZHGPB+BuuHyCFK5oqZg6DDT8Y+ IExD1wtPJnRkSNAA3w4MClMjhNi7nbYHF6hN/Poz7rNC8CAQ/vjlGZ23MswHnmC50y3s41sjvQu0 RlQOgcDcSTuBNpR0uwRKdTMKBAmjIWRfvNDUd0Er3vGikEnD3rN2zo2Vgs5wBLMG/Fc9Ik1yUXgC JPTIfnJW0NTRpVTpJJwRZ4AQCnlT7BdogvXBnOEseY6y5gfuU+Jdqrrggs+YNBavuoAnFIApQ/Kk 7VAihRBEYVOHiVCCtoSYUCjDXHPgmVoDHSkq/kwCFAjshRnPU0PhIpz5PiZcoCtM9LnSd8T5es2e K2HoBwQ9HJIE7aY0A0HJZ1DWmKZCdVhCC4mdPppK4zE36LjZIKUi97SZxWTf9EcRYaYrvakECShg glr8D7ql+oHz4xz4DhUEKBaEHOeyRL3rcqS8vd+0Xc5D73lBvgmE4IIltArhEFnQg82R3bjnkQKI GPRFCYcjpVjlCxA9GwgsxodDkiALQ8IjsPRCpC7+Af4J406codhNzzz2IAAbgybjd+QU8XugJn6p F8/X7dThSKgkwGgxhUX2xod9CZ9QhkFECUJCc/H90P4GxMO8P9wm1O7CBe3EZ7p990twQH/14z27 cLymEL6iSkNHGdqdyOzWAxdWAeGFhNKtm3QZiOyZMzj8HxXM/B6iJhUB1MD+4lzHUQnj3N8ayunP of/sw8y+97UZoTiInHeoZnOYyxeGwAX1sfcQKNEoTByQMGYFnxVqKjxXjEGkjH0AEeFchvjJtTm5 6gqGswHhgDQw6xF0lIgQpr67juCuKLmRYm9+z1yUtFo6ld2Ud7PGz8YjRbwX4Y6gRrAp4RfXgOjB o7rL3YlMeeYUhB8o6PAi5o+jCJCVfGOUnVB8fHOg3DC+z/4g6JgTa0PIsHeXTtf0vmvDkZAnwpd3 oKxQrgjAW2tD+/iWBwyge7Lxock8JMKWCkIIelzojP7gJYq8RxLOP3qnp0gln0PYe7UHTBvJR5eU bgM53mcdmfNuFACOezUhqLlbgvQOTHSEBUIEhLQ8H1s1c4sE8xThx/5BS1HNgUc9rQgMKI+stBw4 f/gEtM2aTx6uqh400Cr8zBlhJuJXJWcMfmIf/6+/2bZP7uQSzCEKquTcmvvQmC++RfhGicpzsf2b V2f0XPIQQX7tQdWu3ZvY8Tt7dvFMbNVq9TcTWGi+B5tDFe2ub1cVCobh0SQICCQlm4OER2BxGMA9 nHeUIlC7h2Me7S+NOJ/Y0SUPu7OZEHZIXoV5OXAYAzMA5MFG83u+z+cxHXnvzz/s6WD2Og41cbyv 706UNrC6BBTPlNz5x6/MWLc/sfc/HdjVOyM5kJ1Z032UQCi2uuaZ1NI6ZRIkmw7hgcRCaQHRTvwu l3serYLwv3axLs2MQ5O9QYBygAgYvg9xksSK8xekdmdtLAEh/0xZ6xj8VTxPdW/bY5tt1CSICGMT ErYik/lClj5rgqG+9XzTfVsS6o6sEK6YIlHkZU8IYP52ZOp7DbHC/MFEuLWG0hl5RvNeJkRCseof vjQjlEMuDj5BTADOjgJn1gR6WttOZK5y7uTw/PCdnm21cTK7WYw/BVQl9FuaQhA9gwgnc0XbUgqU jQs7d6Jqr7/X0xx1ViP8IKb9VU1qEtneRqYUAvYSpPlgO9N8ECLsB3vuVRIgomzfMrh6ayRliCmH kKM4HATCc4gcUvy8vpXJjAZJjErzHfpjr4ICYr4MSBeHM4e+HzCK3C9KqspTp0mEzuzNK7T1IToX GV4q9x+5EAlnz0CYOg+4X5E8RH51aNHXo0DNjh8iNBDQ0R4ObqLHLYrja6qkCIrT0Y2XuCA0gktH 7h5loz+sYgGxkz/mQQoXVtA5wRhFl8v9hwfxVR9acGUBbQAeoJ3zx+sS7MgK0Ots0+fIM7EE4BXO iz3qD6lqALTwzsiOrs6rbc9XFlgwJ0WbeUQCoucywWxE/tACHOa1UhAoj2jeE/vYEMwuhAxMzGQZ IKoXLzb3w8cHBxoIHxQHAopBmAQTB4nPxhBVRDOFiAnMC0P+5P2e3g+SoHcRh0I0BKREBi6ICuj9 9290BLU5HCJGwYwCDlNEyoAwlA0fRxK2bC4HwLOB4mhhfg5BIxyeOk27j8JWlxz2nj/mdVGeOuDh cd6B8JKfpixnAvEwZwS1O8vdH4Bw4X0QIe/CeQzheEZ6Jt+MwsUJpi19g1xb8g7ei7BBqyMg8BuB RhFken/DS4fYZ5gUoc/PQJ98nnw3HOZ/8uqsND97+Def9JWcSNSVdA0KqNHwaNyQOwXl83sQNE7q djezuab7LkMDQtXzTUjxoCNGJKFOyB6GQbhXhx6MgaYQwP/19+aluF7/oCvfCjWlmKmewU6/MI/G LqRe0nRvw2tEEdzLS14+RhKqmBGf4mFPYWEPWQeCWsqXchiZvol8Mf1+rpwnhB2he9AXSA70x7kg rBD2oA72B6FRq3rAIjJHPXc2RvaXP/TecSGFgXPG30eKjfsF3TfI5zs9Z3C1zikTYKFJ9gUhwx/c Gfc23JGN8FSFQVbsm5NJxWy+ifVA2VfmqRfs00wst426HwxdUHEu8Bf7QqNG3odwgRZAPoNRZicP N+y1ZxuKDCJ0SSYGeb99Nbab9zzCjZ/u737e0bMRludPpKJBctVQqC4kqzpT1g4N8FkJ7DIqTMeN N67kNsk27dvPj+zS+cOKEH4lgaU8lqWaFVHVavWqnKFEPYIG4+Xru5kmiSSe6DZaR2aYU2htIl4u 7nGIeuImwu7zo2IvX2qIaPErsWCeBUGB6OQYJZq25nWCOE8xAUIZC8IQIiNnCG0AukNj8adBJPNi Q2gNBg8JkQgIUADIZvOOa4rRKLyvIsKVw3rWaxKXFxIJpJv3RnoO2gYmRduBHlSJX4sUEYVoCI/z GdAbz2DwPlAhqIP1gUbZD5gZAiVqSHIpwgiGQSgSmeE74Z3M7/BRFzYwaUgCxMyFmUAZz52pa18Q DJyFfHqYEMOH6Q3M8aVLdc0ZRAlhYUbeXnciRTAwjqwkIkIInfwa9p05sreYMHwOn8YL5xpKPL16 m7A2tXX4nMJnCzu6HNu3X2jK7wgBv/psUz2vSAvhTBHuKDvWhWJyReUJwnRDYF1KEi0RJSgZwQSt 8FmYkf2EVoIQQrHgBwqlIvgcYRTmznqJALK/MLebwiQ1Jl4uRPb2RmZvfDT2yFlGbRv5WbH8cihG zgXmB/1jfqu0iGaJm1RUxG7iDnGi44fzIumIqDuoD78mZlupKAEX3tECH6yjrVbDi+CZP66BGpG2 0n3APihbPyXy6fyB4oWesi6muAMG9pDnK1OdDhbyX3lKELwBH/BZlaRVKSx33sAHh/LDEsBNwXex OBD8HqX1ulVcHAjg5XnvhsJZhrQmEmExefnD3kK7oYOKB6HMPn0A7/KMPVtZbtrqyuKvfSNQ2V6G cHpiH92c2NJCZBdP1PahLy/k8NDIlRAur3imMQMi+MazTc9LKgdEHZjgiwbPRJCEjGDeBZEpW1bh WJL30PyZfe2iRxNhHtaG/f2XP9wrnZxujtFnKfg9yJuCgIHqzBWoTEdQGIPgQLPuxOgZ9YnQB8KC g0BT8lwIGefnAnWB5xsS1HwfP9NLF+vyh0Gk549X5C+i5KOakm+WyknLPKmmD2UzqtxXuxwPBWMy EilCeOAzwQRk3iAMGAdtjFlKNMajmr5vivaQjd3xgmJp19SdwghhctiA7KQV8A7WCfMD7THLER4Q u8wTi+zNK95FEyLHCftPb3Xt7gYlHxUhbJgCxEoCMCYbWpm5CLXMpfbK027+wnQIquv3HBkikPGv ef5UIZQXTBwUxKVT8X4JE8wCo2IeHVtOVWv5YNu7YVKUDcogs5vnso98B+ZFsZA3iFnHHnsEz9Ev Z3xkxaNy3nxwqEACvhb2Z2PPs85B73QzJQcQAQ99Iwwp6IaRUZqhTpR9gNYRRghDlADvQpHQVTeU BLGfwcURcrWYgxKmVX5Gvltoee0K3s/D0faDbT8PvgtKH9ExtOzy0CHItOc5WXTeAEmpuoTKAdov 7TgyxfeJqY8yko848lw7pd9UvDFh6JyBeYc7AFp037QjOfUlq9LmKd83Pdkvuo+CiOnggZmPouJz PAugwr66X9Lz4+Az9oBnw4/b3dTeujaxZ851bGFuRp1ff22BxYLWtzAXqoLRPJzBy0EeRBlYAAsJ yY7a69L3wqFyAIGxiOSgQfnzRYNncdj4JTgIiAkyCd0TQEYQDIICzTAoe+pg3jGUTT4XK5oBU1J3 +AHNAdNIBIy2QKuC2pRfNeuhcN6HgELgbO56zRRTVnfQ+cT+5Oszoh6coCAHok0Iv5+831U0iyx3 WmZAMCE8DGQW8/S8/AFHLegSpBMc1gx8aB/eGApNeW8vN4lhChgWLUiOEc5QGAynKxIJ4UzVvLfL yUQYSlBU8mwhs9VLV7xolWch/PG57PZy5ZChmYmwhjQQ9gvzmXWTF8N6MOH+4z/u2itPN+Rgxf8E g358ayAlAaPNNEBDHqC4+YDeWJ4Qi5lIDh5RSgQ2jmIUzJ31iQT9maMubEHFKWefuHOW+j3OALMP +uEdRJ8hdlAQjKrC9p1MCIn3hcL1QwgQ8rxyz/ZHPyK4oD0+h3LhHEgqDkm43kvLo3liNjpqPBhL KAZHOTTolQMutDgjBAe1pwg0zjy0JeK5fB+kg4UhZdJ1ZgXlbpWKm5+3KdredVcAAQmeIaFUNhBA GYQ+XqBIb3NE23BT4m1IBUrTihVdTyJmjeQZ4nNk/uwHtCj+Ssp0pbKNEIKUsyB4tDiX7Qd9VEHS 8DQEEC6K55kzFGr7WkZlwIXneR/+SH5GlBmmNfwFnyEbUCRC3IXPFT51H7XXFIfk7ptrFfu7NwZ2 aGHDLpw5vN+d4VdBW95epvDC4noj0SGHgQmF5KadS8jvuHlv6A8ukzqx1b2Q2ctmaJjI5qEN270v nwASHf/XRzcHFsdufrJwhMr9DfdFfeeFpr36dFM+Cvxntx4kiphttTP74dtde+k1SmFwbppQCqiG 56JlCPPDXKQkoFHSUrBCYDjz1SY2iuyn+m8OyZ3+IBIQIlX+OJv5DmskXE1yLd8nN4a1hiZoMCod D/7z6+4fgxlBXggGNBEHD+EyN9DHn3xjRgwBMmQPP7wxsL/9edv+u3+7IMcnQg3HKEQGAXz3xZaI ns9RlMs8lYXcz6XtWYvay+RuCnKeCBtMMjLfgfYIOAQCKQ1XbtJgMbL//k8WFEzAxJSpu5LaqdXU lhcoPfIUCQQviZecMQyBgA6KCL8fTI2gPL5KEm/Fbq1F9jHtljtuprM/oChoifczEPyBmYhmeoa/ N/0DmT11xgvt6cjKmkh1QKEgUFQxMJMoqgna4fkggOfO1+3tK327u+mlT7gpQMHfe7kqBzPnQLDh 0ztDKQCUH6Y8AyUBvYVcNZAbiAd6VyFymaiqcrXIM/tJechz+kh5BYgiiW1vWDfbwtfrgRD8SvRE Q0Dw36Flk5tM3gECE/rCSXyFmEwOvVQPiOXRrFil5T7JwdAj3Ch1zHFolYjgbtdNMRVgF9Q9uj+U /ebznD3vVtHx2JUO70ZxEKVGORGIUJ7YMLfnz9dlAbz+XlfnocDIXGI/eIe++R6JJQmX4MufvDoj uv75h15vyFmQ1qREV3OBrKaBPGPBESZ08eGNtv3l9zfsv4kTW15yoMB66WGPAHvsvYQgI4ovO0PP /1B5SOpaG5PI2+/mSiegx1BwBpKeT04INX1qLaFEK7e7MecUaYG4lYkdqqRKlEXrXvk/IAIv5oSx cXACSyGw77zY0nvwh1DJziAMLBOivLWGDf7Je10Ruzsny9SIsrsD5i5agMgl/Y/YaCIsEACQ2Ru0 +eETZUTowRjUTyFAIG4gPR0ZYfzjK+TaeHcGBBnMfOkULW7pR4UwGEjogjBC/ygYVJGu7eyR/CeE KuYnUUBgOWF/0CxK4+tPNe3vf9FR3aZMPMqISCGZx382UTTzfp6JODGL/+jlGe0pYX/OyvuN+boJ vfM7FTIv0SXUe77j/2MQr4GgEIIHB8Lq6083hTSVphKTq+PrwLTCjEWRsTZMJFDiH70MDRXaLxCy I2pKtFIpFdqi4DthbyBQmIV5ECR592pf5iiCUnWSKnDO9RzQBxHp5flIQhiUCvNwhrosQo0WvYCZ 7xCEQWhg6lLIf38jkyJAmHmnEU+34CzE7GVDSoR2aMQIrbAvIGXolOc6wvN0g3bDkQ5MSJ4cPjrP W0qlwKAx/LScFX3SaB6IYMRHVU085YQA1oUT1MBOFKDhvUqdqEZys6BsMbkvnfI+Xz/7EEXmznYE DusnWTsUO9dmPEUGHm41HTmh0EMUHOUKeteFEKXvDasK66Iz8IAIdKnaVnUAroj+UMKXTtGLbmD9 Sq5oPWV68BafVVSbhOGyF/8eEdfqw+4ezAffOMrSC/9T+09v0Pnhph1daWg9i62Rvfr8sp08umiz Mw1dyvFZwbVPocdXm3Zvy7sZbu56u9UAS4HzHCQ1TXSgVApCWaj859+ek/+IAXQGSt5b3xX05nNA WEpS3On8aDU2WgZBA5T0nt+ZTBXC3BATw+NqkZieImb+Gw2BSQZTEnJVD+ntzN64TBM2TzIF7kJU 1CLCiBw6GwmTqHdSs2J31wsx2r//5ow2EVMM84i/gbscEoxO4ifIhcZ9X7vU9NQM8+xgNFTwG8AQ mEZEku6EfkO1ip1pVe3PvzkrBy1QGl8aQpe9OrJMtrK3XLl2z/1HIE8EPgIShEvSJHlG7BEhelIK 1LfduPDBM+95BuiDAREjWJ4+U5f/CTMeKP4//tmi/mYOUi5fMPZvDaMEgz5kZC3Pep4UAyHtv3fl QMM5FAcJpJjvmMWYo//0dsdrNVNPuMNkA5keWUx1OxGCG2ENU3OWBDI+vummIsENkCNmBALhuy/O aF/UybVLm23vgsA6WfdOe6D2PZgv7CkWAYIAVMj5IoD+zSszSomQH7PmuUmeC1axBypZcb9g6KAJ /cC47lj3XmgIquOHPMAC8vUzMJn6MPXLTzcUZWPdQhTzFJ5P5AdCOIT8u2bFE11h4pOHvYDb28L4 BSM8n7VB85wjSjepUFDsfdDgjyCcQ4ddBCP8oHw+tRFynzCBIa988PbYIGzQJYqUNermptlYgIP6 y7/9eUeZAoAGhBwoFhTNepiL9qJR0TppiIn1QwSdsivOE36L454Vd0mOJWjnAAjFgP8WBMp/w8s/ /dDsxx9XbfmBpw7tdcyee3fbnjqxZX/wyrI9c3bWlhZmtO7PCSyEC2iiP/ZGdiEJj8UgkI4te9QG hMVB8XlsdJzJRHYYCtE2va6QlAiibTieadHiLUvKqvVysKk4SPcnQxi/6rkuIVuXgwXFfXBtsI/U kPwIIIgMBvrGMy35iPAB8QyIlo3BF0Y3Ap7JhvIdIlp3QV6lYxSBg9DD3KJOkANCKOAvwmwjWoZQ /X9/1tb6EKiYMc+fbUgzgW5YE2YHBb9AZ5iReZ095sl57KN8Z3MeaeNWIlILYBrQFciJKB/mL+Ud /+df+fVbzO+PXm4JnYBe8Cddvj5RT/iQEoLAgMnRZN2BC2S1jZ7x9tUho59/k9nNc0EDOO4/O0Lb EZkct0bSxHTpxP+XqfGv9/ZmLggPBACnhGAEeXKWIGEQBw5zkBEKkDmCgGZaFWVBs1ZQM/uCxibI AyP++2/NCmFzfmePumB1Ie0NEd+/1rcOrXnl5HenduhmgKvgT78xY9fvje1//T8eeP+qxIuiEbZ8 PzTm42xgEBQoUVEUJZ9HuYASEAYIao9ER4pUo5BAB6z73fcH2lsQA4jJ28Z4JI01ofSgOQTL5o7T 3WvPNXVGMqnLix1103HZkRWEFTr79gaUW3k2POcn3iBiP8KM80skWAf/zbpAMPRMh1dVIjbBUpkI udIiG3qnMH5h1gWykFYZeUZ4kZuGS2Jte6JnfO1CQ5/DQmFvmRPBFbLh5QJaxAcMusfPPFDdK0II kHFsxfvvf+2phmTDm1f8MgrWGe7DDA0MoO/QTl2tyGdqNjs3b9vDyN68GtmP3vzU/ts/XrSL50/u t57ZF1ij0Vh3BXLn2bNnaNwPFHXHIoSLZOXBECealEUvzpk6KHzruaYkexAwfA9/AQSDEzT0Wuew EXrukPu8hmcBmBsgl4DaeCebhINdmr3M18JWJqoFxIVI0XIQO4IBAucd//BGR1E4lQApW9lD0LRl PnfMWxQD4SnHIa8IRvyLb81pQyGuH73XVXgZRiOpk2f+6aszdnNtLOFEsABhgvZBq/5XfzjvSaTl BbDeYplOap4gCApB6IDYQn0dB48wV7vnRsX++vW2BOf/8j+tKk1A2fdxpDQEfAvyZZAPo/5PrslD 3yiIAbPr5UueAwdzX7sTqRAZUzcgVrQqpuLBAQr5p7e7YlTQMWgQpPTDd10Qe2KqnxvnCnPxHfYM tKMGcAXlOJnMZNAlggpnOUiD4+a9f/3Ttswc2r8gLPAYuH/GndC4BfzuPY9aoSwQABA0e01Qg/1g z7g/EQSDawFEJaFT9aaSF09W9yNeP3i7o/nyLJQNyuIXl3tyxHMWmDagUGiPdkigW+YPLeOTgxBL VhEAACAASURBVHhAWt4h1JOGQ4S5VUdIUZ4yke8VVJRk7FNFtaCsD0WBQlM0nLYyKlvzXClqAXXf oS5kcIWtHDSZjY7kOWe1Wp44/B2NvT6V4BFBE3y6P3u/p6Rc9uAvvj0rMKGLHchDJFrd8aacIXUG 9wWCBEXNfquFOMm6Xbr49hVoYX74H/k5NMHzadK4uuB1l/w3coD+7kTVXzhf0xV3LTnvvW4UOsJl oAyDkbtw+F6wguBLuv7Sd2ttOPbGgnuZ/fwj8te4jWvd/uflJVtemvUyqQPGwCMmgV+M6GUf5L+Q ZgAhIonlMFXxsEfH/vaNTlmnVebNtCf2X3537hETECKHwNGawEEOO4yQb6JE0M3x53wpQSuwCarL UjQIv1uq4kwYlcOF4Nl8hACoCaICEaI1IBiE7+KsOwDVVbO8RZm+V2iNf/farIiLxYGyKOgmJ0d9 0LfGyszGeUmpDnWJmH2YLmw+81dLF2x6IQC/BAAthv8FbQviQsiFOknmx59QuAsTEyVCY719ZWBn j1fLSwVyMd3KvHdr5cCJmoI0geU4SBHgEDSCAYYkcoVwxiyieJsKAOZGkz0vL3Hfw72Nke7kY474 KOmd76kLnkHOmZJWQDRW12CJkZ1a0MAIStCBug6oF1hFvkdoA8HKXK7eGgq1g6rwnVGd8NP3ezJD ECgoFRQH+XmkyIBU6PrAOcOotLsBmYbbbDD/MdvQ0ggu/J3PnfO0kP/8k7Z8qpjmRAMxr0GJCLJu n0s5uLTUM9uZo6MYT4sgLM9ZsjqsEPYOOvHuEvQl9+J9hHcoSeP3P32vq88rf65EC46+3EcLzXll hfdcZ09XFzwFY6vtFzKQQxm6l2AZRLmbjzCpkF/fFZJqQsdeg9hqZLprUb4vyrta7j+C1hHMCxOv 5yNoA29hxm23R+JRrAAQPXSNVRAuTMHEwzwlKv0//OmC9vd/+w+bdnsNCuWWIO8m4t1N/SYiiGFt 0xUVShkkRT+6UMInOUvybEk7ampYkAQbbmIvo68DhKYjVvxXzWZsf/NW1Z6/tG3/9psNXZi8Lxn8 bkKPSqCRkb74sdQ6RqaTJ+6x0FByEa5oD1JHbVF1acGOHMihDYpyM2jqFcNk3i9+9tZDYSaHZtmM HvOSPCS0nCIcKdDenfikLmD+6MaTwp8JcSKV3cEeIoWUJiCt/RZeiIjaLzmtF2hJi1O4rzwWtLu6 KJzhNl/P66nuO7fd0akmgIdSEf/33zIJYyA1WhkNzXxDmxQG5qTuYEw9VN9quI8HpsHsxhke2pTw WZgdk0a9mMqaP+A3c4T4STmAGPHHcC4wPqjTy3fQeIna5hARpZuFt7bxwAZM1x9WdR4IT3yJQHyI Kvg/qB0jbA/zPexV5uU5/Ouli86onj9Xdokj2teihTa+w578hQgOXUawPbYbD/xCDYQLHT2ImSA0 Sa/AvIem2EMEiNfbeXcIaO65s35bkIpzB55QyhnwORgahA9xwxDMH9MEJuWzmD8wK1YBc/VWQNUy SdMdyaAglZuVUVV+pwaC5S06chyXZT661GHC3Zzenmin7bcjMUJfcjo3KypWIiHQim6FMW8Jw+UQ QUmFmktv4ULKhCOnUDrD8+o13+LxgHsJ3V9Ik8l6lRY+3DoU22y9okCL0PWeK/LQfBHXAO+CXhDA RMVDoIFABEoXoSdBmUTKN3RTdqwyN2gGtwEVJ9AbfrAk6Ung6Uo1zNmypZI7/+GrROY+68cHjOWF /zSkSLGfvAsFwTw8F439cECCogMtwx8gOd6DiXpylU69fRuO6NZ7wCSkIDFNgLmJohOUbJALwy01 aDegZGh0hu/myxIWOBCYFLMrTFa+ihsDMSLP8a4ND5+AOQR8ZkKEmjk8BBAEhC0PhEaoMJfQooOI 3l98e04HzGH97/9xQ1ckgTSu3PTWG7ziWrkO3Th8ltup0a5O1Mvz3jmAzeKdavyv1jpe1A2BIJBA gzwX7fC9l2f0HbSL0gUkdx/dDcwk5ultQtxvRDQPM/kff9GxbzzbkECEYPGx4EfjERAKxPvxjYFK Lf7gxZYYDAQCI+sasrLDJoQIcRI54+dodEZofhcUBWtCaCBQQDecjczT20PNke/iTA6dNA6OYLXD zGGJIdkxIF8YHyT2zBkX8PhVnj1bsZXF1L7/Zme/JzrMzr4cWW7Ye9c8ERflBSLm+56pnclU4wYb GAKChtHIsmddOPQxuXEBYMY9dbIm5KfqgZa37gXdU4aCAkQBI8SPLLVEe5u7e/JRvvZMU1eY4YPj envoG5pG4++2vWKANcM0oTkeLokmd10OXOl6qyToxgNQYkChh4fngwk2GLu5RS5cUq3YOCYNxn04 mMugU/FJaUGU7bAk7DhT3AtBEPZp9VL36g7e4W2VaU/ul5NAb4tzftkrSH2/UJ47FvNc/dS8q4WX NimPrfBmkboSrcxHe+kiTfUiW9sZyyT82zfainyiWO+se5NClM2o7CaBa4X1sofoO/aHlB163bMv gAy/Xs8z3pWLRtPJspURPIxwZY1EdxHy8B90mcSF9Xo9ASqc7/sCazwGoSRWp2UH4d1ld6xBWDAX BwFySWLXnBBfGGyyX1UUNA02sh8gu6/UhfK+veB4P8gbfAdBRjlQ6ESp21LKwmz8YGpTU/rOuPaa tAAICcHHgtk0fBcQifoYlTepwLAwdrDdkf6gJlAiJmto9bKf9FrQ+tgvOQUF/WiNqKijCzaY/J4r NzxL/uxR780dmDcMrxt8NMCAyfnyU00JPgQoe8H8mQPHdmfNL5RFu8P4+OGCyTjfSmRKEx1D0Hpq REU328jEKC9pONhymTXj+8F8JB8Mf1LwQTE/hADnFOo/HzfCc4kaTsqzCJeQUJyM0FXkSia294g6 kcb259+atcFoRsmtP3ina3//8476w3PGrz3bstff7wrZYvqRAMmcEK6gXspsoLHQ6BFzFF8JeWgw OnN/k5uEVMAc22jiibqYtH/+zRldKIo2J2UFhPYf/nFXDEP5CYnAIHE6QBDQoRZTUdnyvr4wgoOY 9AGQBkIOxnQ6dKEQevkjcJk7zHbheNV2uhP79gstIQ1cAwhUvsN6zh2NbbdL62xH9+xnWw0GHOEh nD1vzvOWMJ2h4wmRzfLWJhKOv/OCu1lQdJRKEcH3ou/ITh/21B2ulcdZj5Li/cwv+MPoIwdfeLmQ 5/UR7cRF4I0OTGgYGosjv48gAAZcQaoUSJ33QfU/eqdbtlEqhOR5F/5egIhqHSlTK7xoXFfRqXWP B9Gg1XCTerhEg7+59p5SQKfDAz4s+rjT7jZoVl3jRPSi7KvkktRzj4j+SHgl3h6GrgMQC2YFj4Ap P77tzfSZAKYbZibaGAINN3AE5lJb4rKV6i8bAVpjw//ff7erSx7D7Sk4GIkKImzlT6p6szZve0GI 2Xtj4dAPDfhKlnTztmzuR62XupkueMY2wgvNjG+BCB8Epkz2u0OZY8BYTM3wNI/UOGJTAW95dTtM WDtZtU4/EfwOmpnD4e3eMM+vnleC4NhRHMKOcDS9mnB+og3RPjz7w+uedYwTlttZQIgwFXvEGrkA A1/kwX5cuhZdofnPVyIE36TSESJXCHye55ErFlqysB4+K23bdNOMb6O0YErvA+XfCT4z/CLQDoiR 89dtR1WqESr2/IW6fkcWuEL75Q02vBslRGrH5Rt+bRnpNTAB3Ql04esDN/F43931vmhX/pLM5Gsk rwtaBsnI97aVKWEY1ATCA3GEW5hhZvYcBQW6CtfaUQML7Zw94iiEYAjKVDeFq4WP0yDOboRVIFbe qUhg6YQGaZGoy4BxEVDQC7TPO5mDO8XLTg+qaAgXAJt1+4UErLoAp17Mz/PPH58RWmPOVCpAM9y6 DW/ull1hQfm60ajqLWpCFQgK1P1jnqrCZwlgBYpBSfGOzsB7v6EAATabu1TBuPlJtYPfjJSrlc83 n2vJv0sKC4EG3A2hTnFjx9emuwYa3vfdOwe7MoWGsmyiyKxaDDU9kZjxOad7GDItsNv7D8Pfnm7g XSLRjpg0EAaPUrG0UAiXq44VhQumBJKW3jhskCT3gTpD/EwsIgjFLxNSCgWrN7n/N05VzANMJeZK GgVMzoGQJa6rxWljrMJSL5gm6qUOp2UbFrQOf4MYEUaYw2p6p+Q9Z1IYUeZAvWKvPdewH7zVVVYy DEBpCfCXz6PFMHv5PqZzCCJ4830vfA7Jqsx7uzmxq2XBNz4VIoP8Xr6pW94C5utPkzznaBDTdLZB UqDfEI3PRg3+drLykgzPVQsXXSJIwjX2nxvqv+6dStWREx9NaKsyLpS1DPHARKrGL58BY3L+wTep u/5KxnOTyJ2qIA3MKj6li0cIDiQUbLtZi59Q165ThE6f/QqRTK8V5PnD0URRLebEHECxKDn8fShK dTItgxYQerj2DMW4XV7uwL/xb6KcdCP5Jc/kJqJIzpJKwLhIoeum0OnDqZJ2B+te/qWboDveNYFn 8e/xuGI7dNcceKSWDrPB18X/aFBXmBcVC7lGXizMvwEDnBu3OU8moGtP6wktaMLlwzq/RW+8iGBc L6PmzGNWisEVHDRN9BYkg9mGolIB/lEPjMiXpgtAPEWoXvVLPdIEWh9p/SBVhH/I3xuFluhlzhh8 geUSfJuDsfsQCYqhOBTNFH97EADnvqdo0AKchpIV1TDyM9YCkAhtpDC/WaSKtQdu4aitTSn8dUt1 jC8xt3q9Lhp5RGBhDh68Zge9qj46B+SYoxC/zh5/kAi3bAMCY4ekOxYIcYSLLvfMOyTgC+J3oemg upquczECTdfcjn1U23trDrQLkJE6PjSSmtyXnSHxdWEKklaB6ehdIf1adAQHm8ShCQ6rMt5zUGCq Ds3iykJo0BAOayE4Gp6V9r+uPVrBcR5bTH5OWfG/vOrmCgiUd6Gp0a4gJJiW33m5iSO0WtULiEEV BA+4WIIILGF0/uZ3CB6+9w+/6KgXFYJNN9c88BYm5ASF65VIX8AUw4ejyFZhCtPL9i9zWz7rkwqm dgiu3Hgwsr/6CUmNHnRAYKKFUSKh1hHGZL84B85HLa5LmgjlJU7g/kO/gswJHCQVkCZE+N41MqYT e/ZcTYEEFAvngsJC+MrULDO2CfuHC1GZn5oE5q5UYHS1rCm8kybmL69XG5WKl19RrA8Nsqd8PsxF aQex31uJdcDADOdZ7Y7f/g3dkBKgSx9oR82tSCNvLe25g6At7wvFd08fSRQxDohd7VvK8q5wW7JM aYT0kjeHrHbJSfJ2SoEXWCNrpvwHmuSc1XZm3nuRVXS7lfv21CWkXlEvMxzp0Dz7wP6g7DintR0v VudZfD50QYWWPdHUa2E529AIU1fQl7cv8XMAAMo2NB3k1hvv7Vb2vJfz3RNdKWXj3HkWvkhSoKBR UhsQQJwFcgL/Iz7Ng+1z2LNwKzRn5zd5Fba9O7FebyTefkRg4dRq9wrb2PMUfs/mdUJ4KECc6EEo B31YjxsQMgyg6MJnGEjFwzsuXNikYcDKJXcBIdG69N5WGYVa2xSy3y+eqCrhEKQFkYdmZQig4/c9 v4YEyoAOVOmujgNe9gFjEsbmoCFENofETgpJ+TnaQTcfF97oH+cszAiBIvhoJ8vauNAVgkQwsulA 2hDC5iD9enMQhUecQgY5vjQ03w/f7Ulw4BvTHXiUKOlyAI+coqmv3Owp5wZtiiZzhz6NAd2xyudr u96FkrwxXfhBSw/daO2hdgQPzlXMJZAXWpEoJ0GJrT2q7TPleRGNQvAB/T0E7xFWdDAmJhEm/D0B rcBAMLP7cjDDY2tETvAiRAqi5egfW5sWvDn1nblMbM+ah7j72jfWoaTk2Gwm9QtqEdoIZc6e+Xv9 Ic7dSP4RiBum0tVyFOZHHpkFiZLwilmBaY/Cg3ZwwrcadTu04M3xMDVJEFb6iPq/e8SNfYceZpoe wQvC/8SqJ+qyL5Ti8HOSNtOkKrpgDphD+K7CpRv7jF0WAyMs4TWlVZQXaLif15UMylipFHN+F6H7 mDAPHUXLKR95uVeIxqNg/LqwsXpbufDzxgLqgLvnvlzlQC6CdGgh5O9DmMB/OPiVOjTgYmP2r9Dd DAgs+III4t/8rKOcK6dRF/QhsoywRxhymYt61/epTuGWoshGNfK+nHb84hYXLKEEiyfEqXcfsYH7 wSTQ1Nrbz/0RgcW/QSujiTuwww01n3XKKqXiIOz6JcNvcfZOhSHTFwZCW1y/N1TSGwIJRzi+jBDd E9zc8XQFtCzOQb8ZxWsGIXhvrDenzfv41nj/Pj+YCZtaoeHy4lZMUvW/SugS4YiF65f88kw3XXk+ 8JvSjj/75qyXTnDzzi61hX2ZgWiqUHQbfBl4bFbB6mX/JuaovkZlGZBQjTQSUUvPXfIblt1P+Obl ngQG2pfDDYW+HqTwouWfckei2kZ7qxKYSYw8432+id6iQXHIEz1iD/x6+7G3Bam7f4Zic96B30bd LvcmCluzRogeZgQ9yMRUFb4LWfaS/DnvX5XJ/EXw4B+7tzkS+nvuTE1Mz/fwXaBwFma45YbMdW9R jBkDo+I3Qfvq2nkKj8ssb1APikHdOMq2vZj3X7vknSgQWuyVinlLZzJrYG23yivTESrfeb6lz+hK 9R2v7aRshOeRaxRucoYW8a2hhHfKelieGy6QkBBWNNCRFufhLao9nocg4rxOH6noueHCDxAMe49C Dv3/cSCTIEkZkRdy+94GRQbtk8ZTbTqyCrSOMkZgH172W3sIbCCMUbScG9UR7A1uAvbWAwf4GJ1G g7uHNcMjwdwLQtgL+An2eE836Bb/LF0Gg9XE/oXGm+wB/kHdS3jwrgJd9ELBvvMA6JFidCK3fB+A AlDg+aqeoCEhrWeIyA68IF5Xg5VB6dABRtZg+ZoDAqu8NYVyB/wXdS/34E/QDhJAB8Ldv5rAQoAk MqVCmQr+DGcIt5lxjFvkjeyIiAWTkcmz4eHWaAbf47/RFHRB5Cj8hlq/tRo4jIkIsV277V1SmW+4 Zw9CQCghnOiMoPQE2j53c+WNMIDKMIBuMOammrKh3p5sfE/cJGEPoXBv029pJk2AQ0Kwosnk+AZp 7Xk7knDDCEKB6BC+FQ6wU9asoeWePlMrOzrWRIwQvG7yaVbs9obfeKL2HA88LK0mfGtjz+bHj5NG mjNroXDXfYbuv4N4IBC+Rz4UgkGtaBT59Zug/QYjIjV+wJ9VVhAQBLm25VdGec8zF847bS9zavep QfNcJebT7bMerojy66+IBnJmnlXvEVGYQO12EVrkSJW+I2iFvXPG9PQARx9eaqJ+U+XtMuEmp2De gSI5N1Dne58OFO2qhVYo8jzkZVDJ/WYIevZZjfUQJG2vhR0OSQINTeq8nTCCDmSKsPMboxEqfjUZ go96xSBsENrQn0dnvVcctCW/FQmUZbJvXS2C/CKK4FNCUfMzUCH7VKPdTNkiGRrEFIc+MF8p7g68 isKi3Igz4vNEnFcXM0VEoXHowG/eBh2Cttyt4eVEyf4N7dR+hjsW2DMKr5kbCpDcLXLeoAH2m7mF hp+kp7AmgkgBjYeOrDqzql/+6paVI8aQUKoLTNh7IXuvCKjXSeMo74QIUGsy4XbimnVHfgU4Ehez D3MulI8wtPmPac4nic3NtPhwar75MBVmERpVJRWlfwXbHHNDcJ2eQwkL9iiNdzJ04QQTYt4507jw wIHo+R9ul6t18rDQzTPhIlYlZ/a8sR9aDQ1SFB6W1S04EErV/Q2673DXk9PQQvye74VWOQgLOA04 TE0Zmoz1MGcQAgiHXCf1gO/xPDeBWQd7QFdT9Zgqe6/zp517KBsCYK/DZZYwEkSKICJyRhIsPh/M ThAGkVGODSbkMzgxIW4IFlOUubJ37KNuhSnbuZD4inDnAlKa/SEw5Hyl1XKtIqQb7gD8osFZIVzQ ijQydJ9RYcdXXEgjRLplES9zuruGYPHaPzLdccTCFPyOP+HuPIRGQGtobP5wDqwRtIB5r9Y4tche vuTIET+ILoZQZrorXF2dvujdTEkcZW/InufcQVGhXtB9Zt4kEkEK7SDQdSEtjvchpqub1d5uxk2k pcyDTAEZh9QZcgg5YxJkOWMYXbldR8iJ8oqBauKXYzB33uGtix+2XmGOIdDF4HMIz+CMp4g4Khkb OufnCGu6XyDgQe1BMVJ2g6DzG6/9s2y21yn6bdPwGb4vsvWxRth/zilECqEFErx7Q++rLxdE2QVE gQZdGutCSrf2SBl6rSCCXu2OJmbtsUfpSdHAHYGfl03z+0pdCUCnIWVGzvjSipOQl5/roUWXkJTV 6Q6s0x3Z0mLd5udSOUfvf9xXGxY0FgwbBJajpi8XWMpYjyL5ZdCMHm52aI7PAk128OshgsDhcwDk 1bBYXWha80UDIxF6vtHeoA3Yj3l09Tb1XI4uEJT4nSAGiC40NmMNDkN9U+T0TCeS+FxeENoJc5gh 2Y4NoxQGQUadIeiMqJLf/mtK0wgJhiA6hB3EClONM3r/eJQOYgF+73Q8rQOtGK6xgsk4MBAVaAmT BUWCiQgyYx6kP0BIdOMEihMyx2SB0TCpKR0CKapJX5+aukSaHyFcFN4/irVQUc/+w2z4NYIPUnfr 6Rp7V0SfRc+6A6/Mo/NyDC+IR1Nj4vC7Tstr1u5uDIU0QQCgQPaH/QTRhmJbhJ1f9On5epwBgkcR 5bKDqqcReC4dghezDOUAA6rHU3l1GCkT5Ax1VKdWWN08bcCv/vLUCPaQz3IHI5FC5kCghwaO0BYC lDmCehnQjTv7/ZZnkAyDSJbNOn0j5NlzzhE0iRIJfq8QCOgNvf8XtIgwpDwHAYGPjLmBZNWgkAjo kicMQ2s4l2WKykc4sTtrrpBZB4OOITwXywGB/Nc/7Whu0E8oXWNQxgRaGgzpwoAbwf2jrD/QOKYl 60c4XR3SV819yewvzw8pBpjWCBJoRVehjdzpzxlBO0GoStiVybO18hw9AOSmlnyWZYUK9KZUD4JZ ZQNQBHlAvJ74689qd+kQ6+tKSBjd3evY/a3CKmjfOSJ8ia1vDyV0BHt/CaLSBY+lvwafTijpwbck oVBW1YfWsEpPKK/0CpnEiq6pWNXDrUwYQoMpYWqZCaNcGfhEDih90S07Q4SUv4+Bryxctuma2/09 bArowivKnaiw07mxhH5JOO8Z/BzHJlE4khzlB1onSa8l7YLDlyRMBCPhZD5HxNRz0yoyfUESDLSX /GhlexuIBublh/QeUsQ08kJeEADz5g8MwB5cPOWX1rJ+7Pxw+/ZbVwZCpYR6qU8kgx1mZm/ZM9Ab 3ws3bIO6YAxqIGHGz/rWOO9wQ7PKJ/aveXPHNLBefcIJy6snVdnmV5ewgmaGmjPOZLLH+b0XP3sq Qqd0brMOnhMCIQHRMCfQI1UO7DemtCsyeqY5SmQdpM44Oo30vGrakHam9ISWKAgC6ECpF1zlLhPL 75dkoN1RADLDKp77o5o/alPLMqCQHIliBRkh9Dkf1kMwwvvMFzK7UAbQuDp39qEvdxKzbhSsIp+0 XY5A0FXb3HO3C8hBpidr7E1sS+1lPJcs3K4DI+sOgl1SCVAo3j0WgR86JrDnKHNoYT8PsRT+W7tm 22pZ7JFp9gY+wNzyi3M5b0/rYP1+45ErWd1VGPvFvdCH5645+CAoA9JWYjjWTtnIgGSQwNv83kj6 LHvWkQWQ5RNVQUDz0DE/RzgizCuRR2SxTnRdX+T7wXzryLjJw+Bf0mhwacOuDUaxfXqvsKzwK8aJ GGnDdvzDqo8qCf2zworktUPzqW13PLT6zedbQjUQONnE5GxANGjdcGuxckVU/0ZHRtdEbFw/3Fwz 8sPku9RMsQj1CBp4yQPaaGXOb4JGSIVapXBZprqXbvuc0dCTPN6/CICNiSuejQ8zIKy8dS3mDExL JbyH6iEwmICNBF2F0DUoAvNTnVZVxe8wHw3PXEAmIbHwwgmPeIXLMZXeoJ5DfsEH3wNBoTHJHfO8 JvexeVKeX8PEmxe4/KAead0k8JF/RpoAyI09DesPAwFw9TZmy9Amym3xM9PloeTElZddhG4Gyo3K PILl/hmP7MAIrIW6Q0xxfEDsD5+FMTHRMM84J85HpR9lH63hyFsZI8gg0HDhLCgP4VTrem4PpR0U ShN9mm165De0XqlE4/1WPvwMhj13zIt7UXZCRWWjQSgMdEzkFTSyvuMXayC4JWS6uRJKcWKzbsq8 QtZ6qBxQa3DcFKlHntlSOfHxwabeNw7ljBm4n+xaJoJ6jzfSHfyOAPKuaDI4GnvXApRXu+fmMHSM cgrNLv3SYe+FjrCQfwjHdOQBGE72fXqwr2F2u59MmfBl+2sJAOhPfdndVwptw0s833vwu7kF8mF+ KH7t6YLfZUCUEXSMYEQZ83u/FNUTyuW2KJsQhMaZSCp4xF0z+Hj9pm34V51a5Uh3upblgxAVggst pUhL8Tpa3Cv7d5cKdbsQk8CihrBWTWwOCDr0vuejWTcTEDY43zloLgbg8DFJEAAILjYeYqLNy7ee aylChFT2pm0ewgWJIBAgeoeipc/ByIj3SBWHrWZl6/zbW4CEpvvAaJCJ0iNof3s4tUsnPQfsr37c FuEe9LmgkXgeBBeuDwsmJhqJA0Ugh+vA3YlNhTk1gF6+ws/DIeKPUCmGri1/+J7Q7z4ETD3U/BAO E/FEI0Nk4eIH5bVddJ/G5Vt+rTuwnKLhFy401G6Fz/J9/FTMV5A79v73oAEODmXwx694XSSak/2B GDAjwiEHZaKbb3Zc24fumhAzAgaCFIOXF9qy3uCr4/fsGb4QPgdRYU5y9gFdofFBdgga70PuRE00 8eqdoX1ymzl78EYXGch569E2NL2CMS3QsPtAwkaqC4P6MPnt0Zi9nBfCV7WJhRdCwywIDZisVffO nF5y4iYk86Icyuvj/DYlhCQpJTCi1xf6lWVkaKtLZ92jgCFHS7dGUVhc8QiyFOCso2DWxqRLxwAA IABJREFUpD7lE2/UyLtDIMWbBNA3zH1rKH/QjnLXCujLo4de/Ot+TKUIlIEPPg8dK6O9jJw3aUSg fmpjG+vGG/cnkhfJ5zgL3o2yDb3lWScXsvz0A+8ztrB/U7bTP+9QCoKidP4OhkraOq60vDjb1IGB 1lPU+zFXv/zDBS37w76wfwQWsBSUrY/CKq87m2369WihL/+47Ymy/EwpQLg6dJs89xl6fzFKgtLz XJpxIHEUCYYGOtGqlw5qN+W8VawvCMcimd34jwh9AnkRMiAkNge4DzGELOiDg3cB4TFnQuqBwrkD fAdcsEllugsyNp2oBgIKNMKkgaMQMQIiZEd7ozV3aOe5bzImIA56VfHPuqYNTnMcuuHyANK9dJ18 eQ8iTnQcsPSRCs3wQkdNnkd3hIN+t1BOpKpzIpBEfkTUZb8uYHzquUbBNxP2IdxGQm0V/014mLQC El//8KWWGFY9rga5arNob+z9iDzHJxAUZinpGWhnGBdU5orkYckTZwhjwWQwL9o29FXnmewdwQsI XkmJOIjJQWu46aGunaXvcrfrF4UcjByG3lowCPBdXQ0wu5Us6DWn7Ln6S+n2Ys8JAymxHoQFc9rp eA4WqQ66dWY/ATm2hVlPMeD5nCWBFL7jNaV+uS77jMDEp0l5EkgIganr6UQ/mZ3tuk8JZuU7CHoU IG4BfFqgMYqDV+bdMR+EP0oPpRwu8EgakWiSdYWqiZ6EEXlE7p87PpNKiDJfkA0/lABJPcdKF8HS hbPlgiX4a9hZhBv7CYoOt65DCyDSvHCHfUD61+66Ccu/Kd1CuSiHjRIt+WE98sbv1PmkGmleAR2p iWUZ6eXznB9nxr6wB/hR4Sm+B12B6EmQpeSH5yIDwrV80CXnHP4GkTE3bzDobaERxIqOplFZuO09 6vAhyxUBv/a8LOkELduFaP3S5uiRnu4V/BKpzc65wxahgL+Ig8ZMAQlhDjTrY00GQgjObG48IUIF EX52hGvhv2j49V7e5ZQIIP8mDIqTE78TGxrujjtxqKpaPRgTKM6Fqmg9hBDJc8FUBSl1QgoBWfby sbiq5PDZYP7N+iAKkCPCi+8ieMNVVGw2PyOXBsLBXOF33sHBHavUaPF36P/NhadBmPC3Cjcrj+6B R3i8Gyr7CQFs7lL35oW0fttJJO0MocA0OEQhnuBzktYvc4tgejVKK68jR7PBxGhtDhl0xTyePdNU Zj/rh2gQUDB9uLJecyxzkoD8DFJMwm3VMA09k75oQGYeEUI7uvJhbz3i68l/5LLFRFN3PNsagU3v JfZSbbgprTpd8y4I+J1SFwSeAOp1gaHER0GAguvevFEjggR3A1nzRAaD45umkdABTKfW1/e8yyv0 gfD86IajHl1mmng5DAwfcs50gzNNKmkBw1VausjD+7lDe5QZIYxQaF5LiG/OzSX2HKQFAoLBlegb edsaWoaTIE1KA72lGCHqJz+wWjEFn40X/iJAXNnZfpQyNDwMfcuu36UzwsOaWM4SBPj9t7oylbUv eSGkTtmT++v8/FDaPAO0Kn9hzxGiNxp0PyNroo8ZwpM1BvcDtM766Tb7/1F2p0+aned52E/vPd09 M8AA4GAhQAIgwQXgIi4iKVGStdCRrcQuVaWS2KnK8il/QP6MfMuHfE1SSSWOXY4cW5GsNRRJkSIp 7htAgBv2dfbet9Tvus7TM6JlO3lRU4Ppft/3nPM893Ov133di+Y0pAulIaT3UU6pIh61Su0Ztbr5 nbMlXKZP6B/3MOisnLmLmwzo8bS6uJu+1jOFJfF+brkl+vEy18yBoYgcCmhgiz+qeqwUwWd1hlK4 82UxJQQDYpuHRbg4l5T1DmmaPMpWXc4MD9A7NSsNC0/QKaoRyw/AaizFfatxgzsJpPgTgouLHZcP T4ly9QlVmPZtdTiozfOe8MhfPQptjfjbwe+4rMVaiMVWnMY4KF6kZmf3IdHJGiGOG8R2BDL3fRkL QDvQeZUEdig3XkB6xkzxmUdeOVCj6ZQXJZTkpWV6Lq/l59ggWKQXd1o1JYC8KAfXAeepuE5yL/et JET3XPcvLEcpCn94W0ksmy7zqobrgjKTJ5sF49/G4tAJz/USOltm4LMq6CymRL2xV57FQR8eLnR1 JlTvHOffoy9QbsvgWtimkUbYG3J12lxXOgSEXqY6v3WYw/H4Qwtp0hWiVHk2rKV8YKoobtce1Dmt Oi9MN3YleOWKCqJcTFHmMPLvvqyvvaW87UUG8spNHRSsemEeL7e6shoZS0sRivEH17IPzUsdZi9E EVD5I79VYKRiTCfkjHmfMXpzq4rr+U5Qhq25quu5b2zX22j72DRtUDcLMFi8osM8t8M+KI19l/X1 rIo64ceaPViKcT+hXgtXlBdHQQib0JVCnJvy3/do6Y4Zw8ff3glXnAvkmRr1FZzaklNln+b6pens OmOACe8dDCbDYxhWHQQz8aD3iObI4ktvturYdjuDNEp/dKawLMzS8snf8Ab25nhyYIROTg4Tv/Km IhzzF3CNeWFnuZx6mBFgJe70HM4KissJe+UwOWQEVq7CplNUFJobo11VjYbnRLFRZjaG0A4Cuztf rgdrNZpcfY7HMcqtlORTj5+LYnMQ4inOJWBQAgnSUZL2XXFrbx2HlEwViCBQYsGraIQ9qvYnnOtj duJBe914jRe3qkhSpQyFRxtZ5ZtMcuG2++Me5f6U6GGVtD84JCycxmZhHw4Py3pwRxXPoaZkn3ys AFfKl3Eh0A6LMKbTeVup9HuJ+p+9sp/ENoVNmXmv+xRSve8dEqWzwVr8N0ctVVE1n4gbn0dETjx3 monnJnYK0vrYRxZWvo63ThmsBROlc8F7WiFkrODeeF72mqwkRJonBpMNxgs0Ibz08x7y6EYPIas9 8jxkYxD/vXG1jbpGxkkEM2qaolWGx3iqgG1vFVpzT+ZSNmRKIeD+1XgVGvodYN8Viu7XNLl3AId9 EFm95x2r0xe/vVMqozllce/FhYTVkvVN5PeZee+u32Q9HraGiO7Z2jmL1kKludXZrlMGRqCQFvpu 97yEkSQT0Y9THfczHqr+XFTnvFfGcZBVBmsWhaFSWC+IU+AzBreezving8PmePGOiWrCL8artz75 ripiz+/ne5TkjMdK8SBTn8sUa52undRzzPRyzsOt0u584hc2wjArknDOPb9q7i++f2V6VWFut4r8 TGGh2721fzwtrnTqBgEIJct501gOYsU9FLjC8H4yA2/uTxsuN7ffZxx4IZQKY4Rvzt3YyLBCvlGP jEuoHUKC1899P6EaoMFRzrbQlJGT9/H3bfyteTICHOs1/8qiCdtGed/CjRFbvo8FVY2gtFJ9mdtq CBq31ELaVKFRvNBLK0H2uk+WhfBl9NR6AXpvXGsCGJqYIBMsfNt3kum5zj0XO2MvLQ8n5SRy2N7z 8MXpT756M2syJlZTOGb8uU5GqKtQZRBGJ+kUBtGc3hjwySvgrWydOzrDtNT9JkAdcc/LNDwARIP3 yRP76avCAZ5ZQ0L/3wnGtz0tFEQNTZZiqYXn7sWzgZ+whCiOHY7OFKwXxet1+EKtYqLMBnaNelT2 hNepanrPxY54pwB5f1IF9sktaM62dw4Qb+KFb3V4QhDq60Wqn94B66B8tMowtqZZO1AgF/Yw/atz b6T7FxraG++FZyITxrzZnxi7eWCJPV1bXUtxxDXaNtM8pj3jafA77b/ruZ+x9qtbxcm1AtuzYwKP kA/SfGDMXJOxKUlkcU0+w3jtAbTGWJQhocjkKkKyMpgl5PDab9pIQN7vjfnzPGn7un9YxgoGmDdH rsqNdZJrMqIMD4P8f/zZtey/czeqe5Qw4+7zlDrnxgGVd2bIMC2Ellrxap7uc5pI6fTMy/McYEDS Db/xsfNBGzjjY2ByCkQ8+YXEGLcV1urKyvTy66fTq9e7wYR60M8uPthcxsCqEFibyAPhbmOHNAWF gNy1tTx95uNbEQLYHJtMMY7KEw+AIADH8RDunCiTROjcl1TFUS+IFWWVlKF5Xb7PxjQpPlfeTmCq OklmDJAg5DaA4hXDJz8w5858xkH2+wuXV+LVjK7xTJ+eZ7JhXKwQ1vMSfoB7OOBCG5s5BsheXYQN KjRBWRiSvEDNwh5Gl3+d7G6E6yX0uXmc3A0FZ3Mpf2EmYfPM4f6+cZzr8hCAJQmo7yeYrltGi/3p 6s2lKqJ74Nocor18HjZI3gic4/3vxBF1MP3gJ2YqriWUeMdlSfMeAgKtsmiohDDR4QyE4dDhYTVb HZaT4DlRwOUba5lenozSan6lQzjsLG71w2fbk+kV44VG+UqT2OTpsQdWsz7aeXyGsrZPwk/XFHKq 1pGLwUzpen7WEvpJGnZ5xryAZ5/fz8/t3yu8+jnkJ8+ei4E8t4qmp/2M1tnvM/tyqbIUhaoBHoBy DuW9HDZGDYaRDGY4ByOb5ytNMu9Gq05yRXJwM7p/76C5m/39FiR29mZFutB+PkrvS9/djgx4pkAl VoWe9VhubLex2/CL9dXmMbE/GL7RdeqUGjKlaJUk+1Ijpwsbvf90F6zJnS0m4R/8FpqeW8fTxpo0 xzQ99va17Gkqgvun0+V7F6f77y5GcUQQjETgJ6aQz90koZVKqqZV2xirw3KkBWs3U+k4/8aL8Tjd 1e/++sX8/7/6/I0YRFHVrUd+rvmZsGMcfOXqSazWm9c6eIJ2HCO/OuShiUgXdBFCj7s7E4h/uj9d voeSWYvwjJI7NWHDCWVAdjNAjULglivpUx5uqF3cNrRj6m20w6Q1gzUAZB0vD58JtnN/m859QkrD UzqUF+vuPQ4d6zU6yx95YGV67yPrxdEgm4O+zYFp4hKUQahGQRioECW5f5qBrdZCeHL50rlYbmEe QWCtO659MdbQZmmixtpoLTvl5XYrA49QMSMN2dDWB6fTk4+em9643m72MDCsTAmD0tALtDh3gVLA bSYt0p6QWEcKikBmnxbqHRr6qooVbwFdx80mjp94ZGN6+HLBiKMf7CbWgkWhusEVB1Gkjz24EmVn zwBoGaKRgyOwHZbaZ2IsHHoAVWvOaFDeyN421ro2o7Lm0EKJC8k8izXlJVkjstJG21ap5F/STiOk TptLcx0MoJSCxnYhpe/kAQD5jgGsqeatdJ7iWaikL9XghKudjpOBrZgxVhciAzt79TJ9H+8kY+Fm 1gpdFQmXjk7DyGCNHHq5SO+NMTU783oriz9aaYTCuJZ9o5RM1ieQgv0ON033A0K845MY31HASNSQ 2QJzZX3/dHrysdUwr6rcS7HIoyo4uPYj7zaU9CAGsHMQSvniOfeOe2Z2Zs53xYZkcHB2nbSVjXwz zKYgMXqa2oWG5KY5PNV356tIfEYBl9uYhJU5COd6n+HNn88inOFrVwbby+0UCgNPj5Adk8gzXPfu 5aQrgj44h85p56yBOwprc/1k2pODSPm0WKZXr+zk/y+dX5w++p5zZy6uCxGw5CXm0VSqXayJG/zK D3bP0Mz/z9dupUE5lurwNDxQJ7PG/bu/eH565DLr5DvK+Rwyr7An4D9ou4Eq4LMH+zl4Pw8tKIcO IVpKQ6/DgtLDZhtfZMN4OKNfkAKWE7Kwe/s78ZIk7wkWK+zPpz+4lXyAg2Tq8ciPUUKPP7yaGJ3S rZU8jSeQ0V4zWPPdD5fnarRsUCpXbuzGCnF9bZ714EWFAWL/JIh5E2tG42mmNG8fJ/x1OM7ycPn+ cnbLedloh+zeuwAKQT3MYWwfJ+BlqnMKB+etXat2rart5Nl4R0L4pUvL87CCvbBFbqyfTB9/3/r0 2pUSC5oBKP9FCHnLFIF8FE88xmZmyKBQ3Ouff+1mGB9+46NbCTkpWveLRsae2G/36DNCD4ff91t7 Eak5loVirExvu9TJyZ3AXeNIgTughRwcxSsdY+HIloKHCt399y6nK0I6w+8lyn2v4pFKGTxTgYyt kvHkYPHKZrowXZraGN5K4sJ04Z7FKOOTk50oPl5J6IaAnGcmkFSc5w4P9xe2U+PrM5K+9N0DlIo8 z36NJmqVVt/Hu+PVUHAU28B0ffNZ47dMie7gEoMfyBFFwyt74bWjYCJHdZpy2j9s54r7VSSz37yc Nl1zPpo/64R0nn+HnVJWXsLfwCbSlF1jp5LPg6MfnBVnO1VLBYxEbJ0gMiqOFLbfy0dSVox7Oc/m qGYOcekL+kSqhvfo9cqbnSU6XrkrX7a1vjD9+ke32iT76sH05e/v5AC3928hieeFwRB60HI1Ab7v 7o51Qsv6P/3fV+OdSOj+1sfPp2XCIfHASuhjNDZrbvSUicI3dzpZ1qYK+1hzix+u8yTOj8LLPYaJ /vxrTO5568bJ9GQSqQ0DgeVYOZs+qDQG6jYhRkrfhW8o/XqfDdNMKscQYn6YLZ7dKwfJh8A+qQYF 4zJT1/Aa7kSWDz4juSyhxS88cb7cYiqEbxyWXG3uX6NI5e0wiwrzjElSNOA9yKElb3TSRm2Kg7Cx ioEwXFOoOJx2dvFYwXEtB3tEkLQLCdFUolIFm+P/zCO8gOLlaPr9v7yeMOXDT6wntBv01YoP7ZQ/ zHsp53/+2evz5O4mdinTTC3auY09I5S8Qq4/ZZjCRBppp+kHPzb1pLirkYdh0KyR5zTN2Xr88Zdv lLsr8xYp8u0oHxAVE64HORxv3LqjVaHAyFwodM6RLzivlemv3jrMd8vP3n+pHvbD96/ku/7im9tZ D/fMy6EQj451Y+xH7oRjyf2p2s18VWRey9XzrxxkAtDKTOynyJI821KZUa2PA8k4BvIyA5SFotYz +LgbpR338/3D0vAYtrCx1txRJ9M0cjBUVb7J9165UYPgWb1HKkMHgzUqWWSr7JqVRxMzRUfJ4tWi sBlXMu482udUp+EfzxdMevVm4Tq+JymLecLSQOI7vwNO04pxgZ8j8qD4GrV0Zqa1DV12OLYM+V3P +eaIMBKDy928TlGHc8bw0TbWX0V5ZfXngKOQxBLke6/v5SJuyK+FYtzmP/3Km7mhTphp4tPfmn5p W/SyL7xezqEXXq+S8KAqFgQz/Xv3tRfQplEqgGM66T/4+LnciKSt/Exogucydqssy6nwpLv/b3k5 AKxlAGcn0/TSmw0/eTJCIuXf9tY1uViwZxOh7390LfQaP73DSlkk3maZKw+mm9vL0zee3UmYId+R pPDRbbKzEI79nALNgUw5uWV7zyFJ6Z7i5V1tA657YXWFgw4Zq4kvSisSy8UbdW+qWp98cn3aXOs4 +7BH3nTYlqYfvng0PffSjTwj4TCtiFCO6q171Pg8Zt6xXL/5sfPxQOU3JPqBV/+T37xYIrU7Hsc9 fOYXt3LPFAoF8NufvDB94PGCQnkK1pwiI5AUvDUkF1ILI0f1/CuHCQsdUhVKAslTIMnWf3RBZIjo DPYdBotn4BkoaIl6Rsu/wUx4pg6IPBfP/62bqk6wVqfxTnkHPDtjw+RVca/ZD4dfI3vnVy7H0+Kd Wk97jDqIPEDqU4IO7hjgcPNQqN0BDwz2lRsFTzr2vLmg+G819SEhL+eUQF6zd5qTG9rc2C7kZ1Vz 7768l5xT2QtaVW4PoDX1Xvd8EqQ8z63AWmFhpnvfOIoM+T0P9Z0PrKXgZP083yee2kg0pIDzylvb 8WCiQMB4Zk76UF2T/blKHgWVVFwT6e6Vl5ppVsen0+e+XvYTBpchPZq95IyiA7ANTKJJfgq0A3WB wtenN6927Z7+2W4UEY/ZfqwuH2fPxtAYZ//RB9emhcW5wDAU1j13nZvWzy1PP3p1yoDLsjbOM+ee 3knZ14H/9Ic3M+2EhVD+loMJ9kMyb785k8wTRNqHc/1BlmruulfOvtjEug2hOXkUwgNhzoP3QSuf xJviUqNTaSNkE+R/Gy7IgtoEi0QYHWwLzoJYYF4SpfvkY5LfhS3Q7J6PNieUTzyyGMtjkf7kyzem J97RsWa8Ks9s0fwhyF7ApnrPPvoe4VoR4qO90lQdSpuSUZZ1mDruu82q4RlDqn9uLW1PXOK//PZO Nt0hLNXHSipsEufPv7qfPIHwTIL3Bz8VZsJmycN0OrcQzuFGx3vWn3fUoojnCy/T8ZRx66PPUA7n yo3leaLLaUK3zZ9TVl7BwmwuTZ98aiPK7xs/3JtevdSJNYTeAXn/vE8OD28DmFMOBGyhFNY6IxRY GmY8fH8nMscbXZymt9+rMrYaBS83l9L8cfenrUAF1vIsKXzPOPKm5EjLzYPYXmfecXkvStN75Vmt I0turexz+0UXp2sXm1/R90qBqlI6aGXa7QRrHrHJzjHgqLXl4taXYsTTyqXvDRgykAH31IG59hhl i3uRA7qx09adX/nwVj4bAOVMFNjJRQth5jQ8VOqCxyisagJbzgvd8dGs/OZJMjoq0htZCESR7R0C wkthRMKwe/0oo+UCzXi1TKR+fubFqYfN7TKpFs5GjWy/7e7F6fnXTpPvZSwUwjCOMtL43VWLKSVn jZFOY/88dCYOR6qRpyHxk37xx7ngQTv/4fw/N/cnh9aonixDKKKiVOVfr1+/dZutIRfYPZief93U 5bWUk4PAxjU09xdxF4HsHri0Mv39T15IzkDFSU7K4nq4X/uFzkr7lQ+xTqpVtQjhm36De9mR3cIV m9XJuwfTl9a3p+de3GtOal2P3ObZJNp/38u9STa/55HT6cYXOhJb8l04yj1FOGaRXSt9g8en00fe ey6hD3IwyU2uMeI8wo+DmlCVD6hlW8rqj79yc/YghI+3Ui379vJuBp1SVzrrPasChU2nJFHF2BHf RVCEggRZ3sEcRIqOkqbw0zaxZoDtwfT17+0k1DPC6xffvzZ96F0bGW6Aw/ybz+4ljGGFbTRvKwDJ 2fl87YpWo3od4CKS/e81Om2wNs4vRkO1U17lq0/vTO98sMM6Bjh3cDIxVvJXFBBPx2GUV+JN8GIc PkrBi6C7L8nyL3771nR9B8Ecmum2cfksb8feC30UaTxz4CEqRztHAV5S+HJP7o0xs29Q+jA7/ggD eeCgNO55MHiw4p5XVdSaU/7vfXRtuvWDk+l3fun8GWAZU2p+f3EpEB7KitcyaKvJMJkCG3Ho5aUY viLsq9AosPsudky8z1r3cjdVyfO+vNLEPisBqY0vf397urXTPKDrU0CZLD7joJDiyedUQU5RmLye C4dL8UDOoXbZL7mdSIXH2onfXX/7YjBGCTLrMQ1PkILvNKOGlGNeg2caBqGDH7r3ZP3azdFHOU0P XV6e/vUXd7M3g29OTky1UEM8WRFS88J9B8OTtFGA5uXg2p5lxjmXAnIfB0ftObRW7lFuNNCog3nC +7GC322K6vYSLp7kkK2srcYVE2c6YFxBNxOy/blqIKH64Xefm05O6yWxvlxQC/YPf3Vx+j8/ey3h GUGVC5B015Kh+mW5KCwPZjIMy3zpzcNYP3PiLJqN+3fQbZ29GmcfTndtzlCG5JvE0avND2TeWxPz vARWhXC20tKyamhxb+1P//pLBLX5keu3rmfRWIsMj5jBb3/4pRsRoADl7i7Rf9gFQqdze2IPN5ln dsmg1vRNVjj63SexlECIEQrEevMop+u3YNEIE8LD/enCuWn63o8Ny2hp/Bs/3Jn+8tu3msz+2FYO 6FDERo9JaNsv3gWPzTOPQZx/29qxZPIqjM115IYri6koURL2yBbodwSBWF7eiOCXGbT4K9glxm3w R/Fe3napVNdCFMrrO8/txhNjPAjqp57ayqGFgBdW/dV3tttcfYn3W+7w16+2ZYOBo5ztoWEhDkmZ YY+Tm/Q7oTXPtzxnU3rchBTyd+YS/sXXt2dyvmp0BpaylggvTq8cZvfd3dF1AasulrWVxzVGS408 GkVp3Xjx9/CYVcaWsGqsphoqpQFwK7RmEB952JTtk3h71mOAkZ0PIax8HSUkWS21srbaUDUUNyac a3XZ7T6JVk5SECu9svtPj19YJBpC1VM6mZYWoPwbxlO8zoB9S5uV86U6OLObpOq/czzt7QMjo8Dp GdE3POh2hHdf/u5uFP5j96xOX3tmd4YItdAm6uA1esnzkvVUvwM5acgOZG0f6BIGfxi5UEIH9tDq o1SNdU/ofDolxXHpgs6GO0JCX/Ta9YPp2VdaEXFYCa6FIaTCpDEJxyb/3ueut4pwOiVRP/BTLvbc CwdZXDkKguNAt+t8MYwEyvMg+h98fHH66Ps2pgdmlOyffOVm8Bc4j1hDWjcd5XdwRg/Y/zT/bUT3 t5+9lTjdwgotg4m60R5I4SULaCN4SuJo9/OtZ6ts27azEs9qTN+xuWFafUdxMRaXIIvfb/z1zekf fPqu3JMckg3zPBKlrLvNCc5yYWF67uX9DPf0++ENLl8smln/lBehFcZurJ9O7324+KNPPbU2/cGX lqZPvH9reuhtZVtVPVF5/K9/51K8uEG5K++y//phwilhZ2YYzo2x4dN+s+G5tR8DQofy5DWgx6Fk NVlntNLhafJb8W5Pl6ZHH3SdeYjtve2nRFw44BT3mV15UJJFB+6VN3ezfvb7I0+cy15QIgSXl+ZA q0rxLIQ+zzx/MD360GrI7oIFM/7sxvH0HZCG60eBkpBHlt8zyEMJrYVF5cxvblAoGs7zmYue3Com iBSkDHimKKBZ7edf7YF00Bzy0tM0VBb2uBbljJqI8ZCov/s8rFbhECpuQi6j4q0h5fNaOObbDgXe 4LrPvVAMmB7NgJfncM3adgzbPEQ03R0zFmpxmj7+/vXMQEx1Eah5Ey9VOdf+6K9ulop4eWG6/97V eIjOimewv5RjcoHSMHNzeGEuiiQtlA36Gu/zCqoeLjE9kIsJU/3MzEdKjZ4QxsmVqb7/nQ9v5Zp+ Zt4gHN+vf2QrZ02EQz4oILAHecYXXzvIvjof51bbdxsevKuluGaQhJCHxzPTcBhXeNur09Wj0+k7 z+1NH39ic1qYAcxRWEvLOsubk8rMsKX9eax4O+RjDZZhQpZSDRS7c63F+a9fUfIP6tdHAAAgAElE QVRtHO4BtL9QLTyzwRhoM30GZYpFE5axsKh6gw+aGzjhtbi4p5dXg8HyXon5MRCjrS+3W4MIu7L3 v/rCjagwh4NlKtCxSXOK4u1vK1UFr8DC2Xwa36FwUHhChJTCpdwGUd5ovbC5X/3+9sxv1QbojfUW Bup13opg8KZtknDZJpkjyNLVy+KwEyKHFfvA0rR/pOo6TR941+p0a38hh1W4YIYcDiaKSGjJ01HS dt1nnz/IYZdU5tXIp43f2Wjrx8PyPDxZiuU3Pno+IeDoR5MIJ2g8n4+//1ysoUOIFHHj3HYOHH4t 3of7B2oM//u58tm7T2voHuwL45D7nttHKBmeVfn8OxWZ1/v6lYaEZOvXPrI1PXDPzvSuh9anz33r VhKxFKdns+8UfYZgzAR0YW+NFW4jrgMf3Nfh6fTiTSOmDnKPSa5n+G9bWniLYZ0wfOEda8FUURDZ +0tlj5UzpHwGJQqPOtASMvdCh8IqZPB0rAU5TI8iLyUTiQrjCYvmnp7Oc1EigwHBaPphKIIkV+6f aXYaFp1O+2/BLTXnIx0hZ+P9wiTeH8P16lttZ/M8zUWVbmbww+8iRd0ogj0VvXnuYdhQZlR+uOz3 K9M8ZIrec9ZxKQRkrDE8HsVinT0nb/zVq4fTr35kK8wavHzkkWQwzwtmct1zm3fYM+je/G5lqbqF hxXCvxnA3U6U5tBWKElspxlwe5zIS1fMiRu/EzgqKRvo/0GTvtxi6HWeipI62o2//6nzCTNk7SF+ A7y7cjT9d//b6xF8yO7OdcMNvxw8CPdde4Ub0LIBvPcT1cAfFn9ESMAP0oG+uXQ2o411gaf62Hs3 8j6JZ7mpjkzqofPzaOaj09DDECjldN4dwjOtAqO1pzQdLS/7nBKvYQgZPPmgkdozBue+TqRu8yY3 Zg49r9qA4+kzHz+f6w/Xengsu3vH0wuvCkWK1qW4796y6fULE24eTzmUFLHnkwuwnt/9cT3BoO5D N3I8/fanLmSg6c5pDwLBIgwSnh3j3dFp1iso+Y1OXR4KgqdKYIWulIN8hFxTvK0tY8P2shdjDKX1 wXVU7iMkgW33ocDSh7hmRHqn2FAAQlE5C88u3PF5oQArTXlmWERorzuaKoDhEMsVfPzdn+wmRGKx B9U0D4ri64CCHv4R+tiTNAQvCl1mtPlMOUIx+rwiyZi1x+vh7QRlj3ZIR8ZzmClKKURx24NxYORT MpBCKX8eCkFJYvo8P/OFdb5fgZIMoTPEYNpHcvzrH9pMyuDbz+7FcJAFRpjCCd9XgLULAXlSvs6V 61k7303pCYNgqYR+wswPvGtt+pOvli6b8jmd0xkS8RStV4aZXNOGdXvKUnikMGicFGIjt2bt3VOw bzNvl2u6F8bRPVqXeD4zJIJyFe5FroWS4c1fDFmAEFn+9/c+d+MMGwcSk2HBByXaVGHlAHR+aeET 1tv+PnJ5Oc9FfqyNc7q51vOjwHTZhKy5gfDNK5yFOxTWxurJtLbcsIbldKBDEnZcxCqwpUPlBl/9 hSLJCdSH372exLwHv7ixOP3rL96IsmLZQuC/q+KB46ogNBbCA7spbRLlhCrLApfVvy+eL5eSAyAf QZk4dLnOEjDc7vS9n+xPv/LhzTIcLmLf7Iy7QZm8u4erpxZXAjUhJsFPlU6Obi0joRxkimJ3vzkY bvu/kT+bwbIO6zgErFKngNjcNg2/FHrXejzf+bEKIVhF0fUjUco7IdwUgQQvTygTdtDo3FtQI8Vt 7a+t917bJNvvJrS81E7uOU4lRQHBfVGohM3zhA9/9WBanYWLsBKqMWjDv4EzwVF4hOUvr3c4phrx Lu+7u83QbC6AI8/MGsPKORQaVnkEBA/Lw8ocErlHuRAHxnOORDQlRfE6oPZXhW30egaucHCaNfF8 PIrMijxPdjp3j0Fh/IT1FApPg5LtbEY4n/7bfvGg0q2xexIWV/dOnqUGKJzByxbaor2FaQcQNJxR 7bpwBqCzhVqup3J49cZJQ7wM9mhVLKHoJUNLkPm1oMGoUSR+X4qbYtKGIiiH22ClPZ3uvrg8bZ20 XYgsGAXnbwNanSteM6N9FLI/7UolQByYtso9o1/aIfc21trzS46XGLBDUEYO1znNiLWjcrbjzQoZ wVtlriAvAXguFWJDbni0GrxV4uVk283SgpnnkY8lr2FymQkKjxcbITnD1FZ6hQObKYtJpqMvATg3 tWFvwGYYOo5GZlvemXQnlFowLl06n0Ngguv+wXrCBp6LQ0UA5DxsJE+ABf3Pf/vuWPjPfv3m9D// 4dVUtoRsql0WNnPuLrJAnfVnAbN4S51F5mYdtrCUrt5mbgx6HfHdTCmidK9DP4R90NZX2yo0qJG5 paw+HA1LM6Z4ULQ2CJ8Wy/3a1fIQpW9wHt01WBb1U/78AIaglnePg1lCE2I4hypiEsvXCjS0aR98 18a0uT1Xys7JXziIu7kfu8n6O+QslQNhLb3abNrOdiEQxZsR668fJrGdIQI/Pk3YBs1PmBw+1Tcz 6Dp8tfiYghtxxrexm6fRARBt8GatjA0P+DIo6+N4YIQjjA5zixNBIjSMxguvnRartrUwbR6YvThN D1xanT787pKrSb7+0V/diqLzLGku32wTrXvg+cTD0KN3/Tj5SUlUjBFgD7zyDCnZO82Yc2ElEkL7 8PTPKuTJeQlHEANq07q/HQ8MkpBZ/orCpDT8vwcQ4spHZaTUzIFu7ZTgrRMvwzoGL7XTVMSFrY6r d8/++G7K/U10OXsntyEhdy3ndzy2tN/sdAQ7hT08TnvOMDHEycHO3Pl78zh5MiBkJechmJynOo+8 UuA3b5YP3uh5StO9HAgj97U3gaoUO2UfKBXKMrM8QYjOdaKO+x3N1x0fdhovsHRR7Q0ecxRL9Nem f9/H4+1E5pJzykUxKOTGn3B0SSct3R5L5pnyHGGcqCKaVk/DNTJGsVmnMZQmzdS7ldvAlk4NdzlI Hu23fnFr+sr3dqcf3tqfFu6g+m0Oa3EhrQ/33gv4dZh4VUtFchprcg7aEcTb27Hofk9xPT3HsZg6 IePDNmgE/O7J9Esf3Mh7Pv7ejWyIUJCLzG10IAiYg6c9xCZSdJnePFMMO0SsCuEcqO8m9svBripT XE2T5CpA52cX3yFJz5RJuKHYLVPpm/O9wfHIYUHkswKlNL4jua8j/rh8VG9ePZwevk+7BCtqdPb+ 9M0dCmlheujy2nRrt6XwkO4pUDxSvA9hlU9xWFyfQnVYCXTwZYttSPZZykreyEGg4Ac9tINuTaHg B2WOErifXTzjr2oIzagQEsnOkPKdHk1bm9YGdkno5PA0ZPA9FPmAIowKjOovJSTsREPtkEiu3koO SHGhTbX+OOwsv+uWJrkAwttJ61LdUh68NQlx4SSPl4fDovOm/vCLN7PevF3hCe/EdR2Ypx5bi5Vy wCgrOSbykhTCuaUYvTEFiKdRXFTZaQuaXJpe1jaCniXTdxQJWjonJ8JgyshaB4U/E1N2qkuR2kW9 N7cEnkIRUshC8nRxzNOUVCxFCO9TNDov4dziCLl6290qfMapHcWIH8y4pTEF3HenH3Hmwxpz/Bga oTSvUEi2s8cIFYIwOiwGfbLWuM4SqCyX0WTh7Ln9u5O6e91UuzN2r9z3g83hZGUxxs135xyluLQU 79k3+jwFXyrq/mzwfblOmHhn7ywhaYbxlpAsQymOpqxXe0orw8u79UwHrOZHL+9PT721FrqakAts mCb1NyiSV6Zz52qlWWaH3AIKRygOIDihoS/87U+dz+LJPXzhm9sRKqV0JfRgPoQm146mP/jLm1FY evwIpPCOEEpIqxixwA657xwz5cKYOC/KyvJRDj6IxZ2vUWX4vb+4nrADFkbImYVbLDrbs93aaRma 4hVeSLiP8evQ1ZfvNsRhNktz7THhjQrYhg1vsvJnr0JYA5NO0yee2oplkXBUXNCHKBfgfimQ7zxn kObt0IeXZC0IPh5vikeCl2JBXEgoHPZHH1rLIaLQtYgIgwitJPPlu8u0KnwalaXSLJcRgSLOxJQ3 y03uwI5BGXJKDk/yANdmNs15zJLQQWFgMA942W/VmXLnl2mVgqMknnle72U5zT03bBhBvOeiddYB 0MlG8pahQ8lQ0YICQVps7JhFmZwQoOBxm8AdsNATLXWaDCX5JsiKKljYOnvAHEgejvV+4ype8fad FiNWRR+Q6CNrSW3Y/6s3bwa4OlpEGFnpiExnvgDfVjDlmNhNXhgUB85hK5ld5/kxqPGGljqcNMwQ DORODxbPgydy7VYBoENWGd4k8EPLXfmOcpzhFmPGoOfc3m6XCUYFz/f6Vddo/nVxYXHaARo1vn0e MirycP8dn1Ysl/un1ISizrF9pIw6ZKPEeRSfZ+Jp8XAyy2AeBpGRZ5kvaEZkPS3fXYNSJTW6NjxT 2XM7vIS3G+jHQdtzMkHntKOc7Y/Pc4qybsFnjXPZhvBB/8TYhc5naWW6fFe9zTOFlRLyW/vT5pYE 8G427gPvqqIAipQr+Mtvbcei6g/0oCyIzXcBlo9FdZB/9cObSbArwYpBgQV5QBQa68qTSw7LzEJ0 GzOroVCQ0BEs3hGh9crEj93G0hbB4glBWLtvP7eUZDLlocSeqb/z5BFhEotLmfluB8JC8EC0qgwa 39EH6HstpLzDJ94v71Nu78uXVqcf/KyJ4f/wly9kM/18KCLhwE9eaWtHCOP8fKP9ga++ZSx56WhT ujbyaeYFK2c3S9TYk+BYT3mX1ZWWyx97aHneQG0lxwmBc4hm8Gfm2J22YGFRCe25WDtfWWXhvrnm LCUjsbu1lBAXueK7374WwQtNzmyxCZJ7sQ6jsx7b7OBpSoVrPqBAjy4MIsLDILDWned89foMBeH5 zW1RGWZwjC+qsy9dN0NEZm4kchBAcQ5QifjIDiXoeXlTwxKTubNBIsd91jHMc3D380x4xhSXQ8y7 4VmPewGv6USehpHlHq9MjPDPM9jzWzuHkd14unN6wpr96KW9PHfYXrcPkhMSzjUM7iRo95jhtoHM NBwFuHawt2YQpnV3DyXv656+cc3U68Iv6vGc5n2MyNFJ6ZFce7TMkf+ZfyF/d54hRo4ac15dPK2d QhSE25wGCtO50PgtShDRwF1evrQ03X/vRtYJBpDseQZeqH0d8kHZ26NAjShAqPl54DKmmZELzpSo OU8sSsi8wrn6Z0/tOdlwrjKiDoBWH+OR0Xh3JN1feWNv+tnrB9PDD66f8Vfv7dUtlJfiLrOSbvT3 Pnv9jINao67F4GEBxRmmIOyhKd94z1GU1xe+XQoOpHKfeHIzBzJ9RjtlPKDQMk12oXP8WLh4WEsd MzTaO6ClLepgNAB3AKCEUUrO4oObZ5zclEJnu5XOZLRkOAgUGKVIiMbLgZaUpQSFXP5+6G3yan02 G/WDnzRRLmdl6rHqlGf2+/svnebfBTcWh6SRW6hHUOW6rIENVDXZumkqyML04XdvTFfvL3sBATJF h9XnfSQPGDDqUZSLnAiBrKvf5Lk/yseek2cxFA9vbtCZYDUgvARsdalJYGuuACCp/NB9xnCxjIdB /PMO5RkdZOs1hhkM6mfVIYc6QnoLKR7Aqpxl8UFvu2u94fe1WkgyQQAZEdb3g+8uTOVffO56vvPT cldXkfR1UMMgyvM7+5lrjeGkewVNtqBzkvDOP6QtOoauQ2V5N55XuxJjR3bsu3mOjJ33+T3jbN0H KNXPAW0dZEbZc1B2PHLehGcot3yT3JQnBZgeygdWI78djSYX1x5Ea6vqRYaSrD+sIutg1NsTk30f GQmwNCGSPFXzjfG89sooMYpCaUg2GWpGiSdntFjKZX/c8+Bcc/DJVQx65oE2CvE7MmYvfff5jdIQ DZCp4TR9X8PmJN6FufLBbxV0S1FX+bfiF09vvifKbTCwdNp7ewbdB0PgGm2UbnuP822Nw/6KyWHq ern/v8E4ur5ad1gII36luTOOC/0EyzNT4fpSuRl/i+XdLM/pwhw2OqxuyoGQ19LGwSr+yy/cyOZb IDdPKREgG2gheCys15hnV3Rwk8nuoyPmO3mHIKhq8WyagF4KtoalvnNCzZ0vh2H06RFEB2fQVwzE M+8joMulUjuvrCgsnOYaPBsVDJ4mq2uMlfuh2DyT+3TfIAusmO/7/rQXD094t7GGZqaW/HZo2+nC IdqbqakzVGHnJIqON0o5O0QO7spySfkwjLJWmCUchqHER5maALNw9tMhItTif4dLUvTrICUHZtB1 3BPPTy4PHCEss/Nk5Ycvd21GE649AVQkUC15NwH79M9WM3fwqcexnFZhU6pPPMy7LYrfz9JG8hpa mN2U9q2ZXCiA6Re+XWplXrDq6qMPFGrCkxgwEhZ5FCTIRJ/5KHuSCcMrZZTF8w63ZN/8zRiQH56b 51bgEZbbG2tlSxy8wTHO2EHP+3eoUWZOeGvh9wzQgMzwvuV0QYDSi2hqcqpaTapnOMV6J2VH2aSA UK9Xwt6Qh8EIm1HwOwxEw7OFQVmcc1hjfv2mPajSdNCdzfBQhf+9ClSe6nTj9oQoXGDFrVm/tjf5 uXNJrrRDUdbSQO6TQfJZ54mcU6B+zgAb9cdAy6uNSTxeCTfBjGZiPmEgWMOdrT5DcQVBMLOwuKfk wmZwOBm2vwnB95vfev2to2n/uO1gZwprc4MVmaYXftqpscMte+N6cUO0IkXhIHp4idzyOAMhHkTQ 9LTd3OY2ly7m4N42QEpsWgwantWFtXGQwnwwlfqXNl4ZVlubQAB/KCXqJhJECm/0MCXfIm+1MCWH JdE/SsZ/28tCEjQHjBBzx9NCMCdWCSQlrFJ6axeObCUxdOYGziR0ckSEauRCKNrR7OnweAllx3QX eR8CO4YY1CoWnOff2mEGWFWuiVKEIxN+WkPPlyTlHOIU+tFkeaeRFIE8RsxbS+9LAn0G+klqD2oU HqRfpV3j3g6n4D34+bsebjvPGMNkPeKuZ6xX14ZSJZiD5I2wOmx/71MX4sXYP0pwDApRbfa8PJmE JEs8p3qvL72xOL3j8urZ1O+0SZmuc/9KS/iGN8wl+/MbsxU+GaSMi9PptipvK37WSltZgJSHNRas vBTB949qfFWdbh2W7YGMKRB5njF2LSPe58PvIHqO4+Olafd8jbRD5OCO98on+nw4zi4WeEwoyNIu HvaZ+TY5O7z656p0QxM8V+YcUnTUgMiWLAy5md4t71qj/NKb7QPkfTkD9243HIzC2itOqqPQlkIz 4/8DRZjlITimo3YiUIYS5+uBH7Ty53ndWwpF96/m+xrJNIfqu8gdB4Ox4o3aK/IjfEQRpepubTCz XIOT0yPYyWZz21avY32dU7qkxYHTGN8xCSgDbJc6LLl9zlVsztLSUmcanCksTAYP3rs4vX5jHqo5 d3+zzg5hZ6o17q9r1+y/3wHAJbx5ooMquXv+Fi4V+9ESKbiBB11eqse2mfHYpeGw4CG6mys1g46l gyXmkVuzR3TmNQ1cxtyGQnlkBJeDddj7zUzFCLIqUJUIBcyK4iDiVrsnYZqKCSFaWoTTWo4ySBl2 aonawf6zv76ZEEZFTOg4rkdZClt5PITNAX39yn7CsVE6tyG3dtvuIwfiOeHaeHqqc465e6XAHHbX dQAlcXl8aFkIGaunoZwQKzoc3sFRRFCg0cdoLsLIwzGearjf6D0oXZXa5EJm4C3slH9b10Evkhag TPKtYQkQMqHRwtmQg7u2Gh6j8/V7390RTQWznt9seFGIAlbV9eR5IOi3d4+mv/z2zenHL2JuPUwv 4mjbSPVxNgSB1VwjC91Lzz4oX8YkcgdMnm90JmzjcZrlxGFhIEUD0PRwbqmkPbiStfPvYTySl0lY 3wrroJJxIEf1eprKZMordxgRXGqZysTo7UIGfL5j4Xpu7PkYjJJk8pySIKPbM3VyvWnVz8IDjLgf JHdgNRdMMKd8Zk50Cgpzw+hpTNFJ9TQytDwtzbQ98XqOjqOULt8tf3w0nV4Bzi6sCC7RvWN14P11 wOxxFLNz/Nb1TtQKfdMbLZbZ3+299pxuzRAa8pY1CK6q+zLYMWIUdk+mq9sn091bi8nRuc9CO4SQ VdrO4GAJsYeZvHN8m2k4EqENgCVwIxREuLh3mvwzznv/QOUDbkdzK2raVhTDiTRjRyyw2PZbPyrS OTmX8J23zPrtZ3ezySxipozgpVqcGlJudiPC/T67v2NYKYsrn8P6Ep4geOfpMZnKO1OtdvMp0g4P 5T10Cm2rVX5nc9Ayj9Kx6zjwDtPBYcd3BdCWQkPpS8bEnpCLPbObe6Dg5CWsA6Gh9FimkLRdrDC6 b/eh+pfugfng2OhRGpbbum9nBvPNEArNrjGMaZYuUjs9VrBJPx1MBG2qbu6vXtjI4ST8iHKpgs5A ja2GKEJ46zJ6P71wGO3td+w6D+/kCN5sr17WjFMbRsyagyYEnT2zARRxXX4lwu4+7a8DszIs/fEU ZgyK8V0Pr0/n1rXpGCNfr31pSV6lRubCJn7wtmCRQ3IJWjD41o2x9/2R25nhw3eQPUqbYVEA+Nkr RXQPmIKfvfjGaYwIwG85yzpYdDDiAvgyPgxGAJ9pMTpIRXXw0w/GBgM3vFzT+61/IDv3LE9f/u5O ZERryRiD5xoDWDnGaFU53i7nBx6QaTV9L+UPxkNxu69bc9P0yNEy6u7NutewdNqz3bV/AXj7XmwO 83XIkqKIKro1LZtt4TAMjfWipFQ2Cyrt2RJKDqclBZnZSFC45Ms6KNBNC3UwRsRTCEX/ZuDvDY1y 799aMn6KJtY02LJZzkIVpGNgC/pdHvb0b9LLvHWTVmsYNsaG8y+C5I33UW1ocRx6q2KRgEndAC9u jIwyhutrT+8mT7G+Ung+RPFIciqdl465Fb12aHfzs/Bg/etVfPJhQJIOfZga72q1hzAEAGekNrK0 kwIxCZnv5umJt1lQFo91B4J14Gw85ejAeR6J7XJ5SfM15B1TgoJMnjmEPOUYNw5cO8bS85Zcl2dl gzNqfUb8O/AwRIoNQSkLKQywmPFLWoMISfIKlNnxcSojHdK5n8KDg8Da8bKsr7wJJZ8eu40mRB1I kAYueITg5DTr7VhFiSr9XxDCIFubFdY8HEIbyBe/s5P3OwwOafjV0ZUcNwcS9oeNlrgJbIaZyt2d loV29AAqcCS3aYTVersarOH17VZGid0Tj6wnjItCeK1YrgubU3JbqFp4ANIGaGOsexDfWzoAioyX c0t4GzBiPSrhTBrmY4AKd7AHei/9/Ua8gOJ/xhgyP7M29mGU64O+ntHpvCGKBZSB8QBEHu1F1sNn /Fx3g4oreZOX+tK3d+bhG6vT9e32HFpPoSVlMdgMhhcW6pq5EDbGufE6gHDvv2Rm33LCqe25r5ds y0vGi8W+eg4avlVaZ8l6UO7kPEprZWG6a6V56YXduZq8tjjt6Wh58zCUSe5ftOC+OCLF+FWxlPSw 4bs9ln9jBOKk6ISAlUuivgoug5dOi+Pam5rHoqjNUiAAzuOAdOibJWOdE1AlNh03ahpg02nhdnR1 BiGFk9rYXM9mcJEpmfH/0b4XV/IlwkCVFkIutg1t8VziNXln8HwTHAdOtUJV7T/69MXp60/vTF99 enf67NdvRciV3kO2drGUwLyWjkvqNTzdCG0IUsYF7RzHWmvCVr7nHlM+DpuD++Ibdr6HxIGmCOVd HDKCPqhjCVQ5qqvxfUiIdvF8MUYEk5V3bcUIyfB6TUfTA/cW9c/F5gG4bqYSmzm33PAiGKkZ/2Id XNOh83dxJxgWC55N7qlQlQgMdPorbwmTGlpQjKmYmqg7J019ZjS+drx3FT6lJleThOUV8JDCE4Se qHLd8xjX5G8VscwPXC5OzF4zSCqCQqNMC7p6GCFNqDb3L6ZNY849eV6C9q63o1heTR/ooL5NxXke gUUWhM6qkz7fw9C5iXedb5j5ylsGgJQJ1OfQnjgcEPD33VXvRANv2jkWC3VoC8o0XV5bnD7ynrYY dUoRmMZJGr/LIz/uu9ORyS7l2nabVssk++21fbCGvN/wtgutwJPm1iLrHirk3bKf/uqHNqPYf/DT g3g1A1iaZ9sqSSWPmJyU+73AzuSbTiWo6zklWpnZTQ9D39x0CuWwnrmNxWCB3QyEuWewN54jgyBW W6SAs+MtIcGTCB/zDcaQ3oGGN/5skHGOEHvwU8V/nlMj9mNzvcZ8/6aiRHOZmeVJWc7KM/iz/VHR VMUdirkh9ygElce+a27NFNBqEGqE6BCK+vDk55LuvgintMVMp3ZGiNc16/AJrl4TmKw7VgSJSa8n H19PeGOtNVGaXENTypEQ5PvSPtOBCFx53x92g/3TVAWFiISTleP683Ik5mlpysD3UJ6qgg5RcEDz 5OmAE1dqqQhumklXF5OnoWxYCgBXmDHWXJ4hk0hMx51zZYSJwqTAWNyL59tKU9BorTNrrZpFiCm/ ES54j+fyTCWmq+UK5/k8MHNMlxkhowMe7MpxR6dJ6Mu9DPoX3289hGW/9IGteHmj96pgx/bJ7R+O 5HiLFRQSxLc18LzhwL9v5Qwzo4jxQBrba8lHDyN6aS+HmxGIV8yCJ+Qq3o7CLQV1LTh+LgLtoMoD 8iLxGdlnYWjSCsfQ6IshKXRPwl/QFgfLe3ymuSxrCO+0HLxT0PPCrEttUh6V5Zs74B9YP8ttxgt0 oO6/R0VvCrYsTdNzm4nDOah2pTIUhSC2HX57RaGgO4LOt37W/HbHQMOv0Xvp+gFzmhY9N2IXRzSH czPbpvDaQSPLzg5AqaQ8teXQB1O4N3ctT32u0Sp2FnYvtZtB69ID93bu5CtXDlOYOezovxx290F+ kA0w2NaCd32w2HFloy2HUkm6YPacPCf59GyMk99ZS+dnEAqkx1Gz8mINv3McpZK1bZqgLVCt8NER Y0p6KpbSNHPRYcwW5PX6LnLjM0G4z4W23N88lau9rDWG7sM+ytn+jaT7haLukQIAACAASURBVM3V 6RNPLU0XL1zIRobed6lfiliOiy5kGp359961H4uj9K6EHjrlqxLoJbDjlRBq7mZ4gA5PMiCBcFsw IY4EXFgh37F+RscM55QWEuHYI2tJMFOOJRKrF0fp8QBsijK17xZDCzNVq4AcCTWhBHgbo5dofgeI V0iI3Rsl4jspzRu3js6wIWNCkI0abT6AoMIYz/b5b22nDYP3SSm4vgX2bMJOh9JzhCRvo6EDr0Ri uW5waUF4TSpDBANeyX3yICThHYAojzn/Jl/AEFDywmuxfhV3x6B5j+djkToJZjFh1aj2GFgwLOrA VP3FN27NlEDr8XCH1+M1Bl1gZbBG3t8xaXKMJYVrGb8kbD99+bCFAnP63ipmzH2BosDxEEzyQ1h5 1a5zz8Xi8ITIcp3Cc7mv1ZUCRXlVvGnes+u97a6lhJw8GfuMBNL38ohffbPN0Z7RmmP6CAX1d7aj IB9dX01OTUicwaJXyyiwdbkcWqqOZDC86LMHimfd8zjEDiPetHOrRcszFjxvKQ5rJ6RGBfy4sr/W k6Vpev6g4a7P2dvivLr+qUjO/XOd1twhozB09ZyMjWvjN8+GR3YA4nA201K3Qj24sDMEGNqqJ4Vx clJv2KwGipYy4kHz2puzk+/rPfGQ9g/amsPQeJFda24dXIVCWTkpgwJFRWkGsxnurRpshjeerTTP rNB8f9lGawiGB7W0VORB1mSeGOQZyVCqlwzMHKns7u42VDzzsI5Vruqi8XLCEjBzAz3zs+atykXV ZO7guJHApHgI/JWbO7GW/+Ivrs/YkgIarWjIvd5og6yNdjiFG7wIjbDbu8txSylG3gNF5cHNXfsn f3qtgwLeakNwwtBABYzGbqf6SEZK+vGioKjdgzCkE36KZ2Ht9O8VNd9cE2XlQC4u1EP55g8PEpu5 JgWAQsS9Gw7hOpQTbw9PFaXnnjQIJxG80ObN5jvwQy1GIY9yOrS5e+JBjrl8nbLTEVEO2qc+sJlD 7bkImU2Ni31ihttBhA+2q6wALTyElym5maXpqbvLH09phFrYAMw5p5HG2HWKu5bQ8yD5I8g8MFWo lPoXKlTyUp6RN/vBuSdSzin9cIcUYQ8Qjyrj3yDX7yqYkDdAeY8BsoyTvZXvaAtVieco1Gee54EB Ii4l54YOZW+/fXNpvA5Z3tH0wqsHeab3PCwdId9nupI5eFWoyvNpHA6lcRP2qpL2iCeMLsh6kgH3 bE3InYOUPKqJSBp+l2sAZzBK1oDs/AefOJ+Djv45qO2D5nESlksL3DyOoXbdP/vazYS4jGY88PDC NZS9+4I1aV6OXFrn0XoUECmGzlQbeWXurewZt3YQ+i0l59ohpZ2V4JyNxnpndTQxNwHfpHi4teSZ FEuWnc96M+SSEu2kjIblI9QPs8pccSZrnj0g4pl+yd9hijiod3c8A0gpvs5hqBy5B03Swl5nlrxT gt5Dlh+6j7d9FGjPlRXDiVuoo1ybwpkvejbm6wCa+mh64craXClsTsYCARQ61Cy7RdF+U0qY/ena LQReGwU7vm0lwvAvP3c90P/V2a1F8sbCUXQO9Sj5cp9ZKn+Of7IX/nUPbMEa9jVn4k4pqbu36lp/ 9uvbEaDf/PhWsFEWceSoaGrQiOQC5ioJpgb34TAJ9XhzFAl3mqC41mMPCZ0K7BQ2qfJQxjacZ/it Z/fOQJod0LF81i2fasr1Cn+oaOd8FqVvw4QUN3danbuwVeUoF4I+uLTApdgYvOw8OJvX3q4KzKgW OtwO5iBmC+/U3slZn+ZA2RNia8YLozhZYLCDAn2XMvCAwMPWSHRrL8laoRs+boXOs8v5DSoXskCh MXQ/fbU9haptY2xVRlrNVUfYOAdntFJpqBb+feUHO9M771+Lh/2eR6ogpBEYIEpGG8rlu8vsSV4G EV3yVZeFLLNSSbtJ0wD2wPoP7Js83ZjlaBITZk7QG944DCNZYVQcPDLq+dwr2SQThV/UgFAockX6 Wv0M60jSJDPivDQqNQjOBmOJegWLiWZ/tNUhNITPm2dvuo+Lp83r+a70Eer9nHn3Jdvb3SEvtBvj iI3kg+/ejFJULXf/nabTkNqzoAQvlKfy4vl5uLy3zFlM5c17ei6KC6vB89+YE6hPecjWvRcbitnr 4uVqXMlY+wubo/JzfY2BER00R1woRRXwSarSzUIlmkwVsdiwacIcWxyiZ/VM0jphQYUwSI65uLYz hUXjctnObRSizzq3GXNhphcp/erLbxbNanEsxn2g+XctT1/5/nb6+dCP/PrHzgeY6edCLu4+qZIf kf+SvyLArCUlowPdJr16sy0XD11Ymp54uGR85UvvgE2xrANgggeKZoymm+smTx+0XSX4oVaGGv/W xcT7/ub1uQoRzp+W+JOgfnF/+ukrqm2oRlQN/f8UAZfTMW4L9mrkMFic5AZmdDLlwjOhRFhxCuuu t5fgjoVzENOX96rqYzE2lBCF8dLrc6hoXuHrwm4J/KUYCx4Yi68qJZ+hX5Ki6XSV5vQIF+HA/Gp+ n0oLYyOksn/c8ZFPyfDWxe5BQqwfmaqyHPyQXJdn9/lO+ymrhIIBr4CgcM9ffsso+FZvRg8Zr4NH 5SAJowghBT0wUqH4NScSvCR8aAbb9jnGCKrhFZAx8mLtR/KXR1joSvNhATum/M1g9p4NtAgm8HpB ya6f0WKvHYRE8nd++Xx+Jpd5cbMK2wEfuD7hkOcYcm+tyPaY8ELueJIO6v/1uRt57gyRuLAcj04e T3jWNqb22gkTeXSG8WZAqXzTjd6vtWFE4nFf72EdoTbPjAyFaGBmTAgDQoospZfhsdXzBg3pugUW NDdBO+TG2HdMV5VHizqDWKD3UIKBGV4wAzXD8kH58abAMUx8nxlImzpq1ES2FYbyKbmuAHALU8r3 nDa/OpDwZNl3cmwk/Bmh0QCuKs5pABcCME9ldq+QouC6FnDFbUbZnimstbWVCEPJtYpV8m8LcnO9 VSCDPJXg/VwI6ACztECN4Y0+Op0+/J5zZ0MfCJbD5GGFFB5QyTqgsHnSi5zOKxRV4tJpuqAMvrCQ MGX1R3tJNNpEQkNQjk7KmPmf/tZd+dknP7CRKSqf/TqUOiqSaXrn/Tr02ymfZtm1hXBrY2yQOxGO up9Y8MOT6Xs/EspCFNvkIqdVQB0iSUrC73sopUHTYSM7wbiMEASeNc6IszlGpxgzEWfmxPZdvC73 Pc2Hd3ggwkStDz99pdbR4TG+yu8oPx4S5YruRxhp/VVUQimSYZ4r8XyBYllwuatUJE9qYGz+mEJk X1TyMCyQAcLinstL5nOLqeKyeJSy6dRygsI7is1B97mrt5rXGbQ6MESHp+1ZI3yUiBBfyEDxMBCh mM6A0hofMqF6NoaIWC/P62WPyFrgEWsm6DRnxkv7/LeMh2tz9OsnJyFQpDQohd///PXwuNs/+2Q0 GU9dzut0qlGiaOI5hL+sA0cUeyhcFEQsPOXQGX9tiaJI8Zy513o2TTiDkxTy09DJ2mMxsZ6eZ6QN nCsKpOHTUiuT++Vlc+/24L4AcYV8ON0G0JS3zQPfy9oEMHquh5l8yGf6bmvz8ht4wNannd3drCd5 lMeKhzTzT4XCBnzhqJXl9qY2/+X+3FemGc2J8LBqiFbmwlKpiKroQvky55ZK/9IQNNi9WZn5PMPn OsEghsV0HoAxs8a6rvXTv2ogBg59tDf6J48OeffFzZ0prItby9NTj69MX/hu57395se28oUZpw7w OXeRgyXwqsShv/WxrelXPrQVayOvAV5AwcEc/elb6IxLQ/vx96/Ee+NdhXR/rsJkTBGe7ZkRYoDx hCWwHXBcBD8W863mEHgcMC/6FL/+zE5GIknwFdtTpHaSdPsdLSS0IGwUjrAB1Y3r+iOHomjw5GMm uEhyH05f+NatLCysVqpoc2lb7uIDIBEn0/S//uHVSS3VoScUJs28dnU5RYJRFpf0tCZDSAgkRWSt JOoprggiZsr7VqJs3WcxR6vT575xK4cvdCtYRh9dz76Ybk0YbDzlKyeYJOU8fMK/o2hDO12lCY7i 2qMtSXgLLKmMzQJSdvIOjMvLb6xOv/oLuNZXEoa49+LVWuwgWAljVham91wS1q1FaZElYV5Bm8W3 2S95P8rMhG17oUAg3FXYOb+5HiXBartvnhvPxH1WQZUFJMjvENAJS1RfW8hwvQykyHkDhpym3/07 HWfP4//4+zazXvGmt49z/QBlH1o9y82M4gLFw7BJHzhEQi4c96N52D1I9rP8HfhAmWNqKGSEgfec ry11JBoZJzPkzLQlzcxoxsnvzl6rqZlUnf0BlC1/WOAiPFq53wymqLLggd/YbggoVaFyKMHdYRoM wmkmD60+sBovswq/UJUB/AzcYO6eaBNzQb2clCiVmcjSH8aHYh1zNEsJrm2uxahADtJ3ObyzGqLK R8GpZGt4cpTUwVLB4VRUOOi9by4CZRrPQ6vTsy9WsQOTe2Z6ZmE6mk7EtXcqrP39/emBSxvTex/B NHmUsKGYj7k6sLw4HR62fSD9QcvT9H99/kYu+o7La7EIDpENFOJYGDeAnRP/VQZCCIuQzc/VNMhu 1p4H5XD8zi9fiJaPFUF7/FAVEDcaW+kH3tUWka113puK4dL0+W/diifiIQn7G9e6wRGeq0d5cIrT ouN6f/+ji8nLtGigkNCeKuV0lUBaneJ76XVz7jAtFJ5AiWrHscWX55l5DrXrYI0gdFx6+bRikmqZ JXwztPXmcbwsitv1WXAel5wHZT2S4e95B0R8hYfCdkgydXkOI+DZhMiZxjIrLm1Iqcxd6ay7zn30 vaqQDdlfevNweu55NL/FzTAeBNJ3fuGbt+LCO/zWjEFIDsOYrWtN3HPj01I0k+QtHxaWwWty39ZQ Ww1iRIqWwsowguxxO/PJVKtx0/S1Zyj54rmef7VGQg6L99yes8N4ipqUBzOH3JjPG6nGcDQvdZp8 WUDFN4/TTeGQ/8e/cc/0roeWpzdvHE/f+/FBnkWDsmdAESQMbnVL6FOsXhq8D0+mJx/qsI7SrzR5 3LNSz5miSH5rEzfXUsI6Xpa9lkaw/57XuXnmhf2zoaKYQ8kPowSsKmTnNdinpSVtKJ31Sf6EoKNa l5zXXKw6v1H4DVmzXqPtzBmQevF8Y1q0PfF8lNO59XpkDFcKBXPoVuaLk4TsAxnv/RLzqJ8uLSpQ rCZN4HdmF5heLazmFIyJPyHjS1Iej1eT/WOMGSUmanKOUS/bX5VG/+6MhkYsmQVxVydokTd52KRx Fvre058Hjo5GY56BmzHZRpL5g8slzXe4AiLjhl5cnj7y3tXpf/z9tzJjj8D4DIpfgEob5yGRsPEo BguD5LcWClbCxirfEz7xPlI4i++hHnlgdXr32/FxleQLf7TF53mouhEa9/GPP3N3holSDjaIRyi/ w0uRUIZ94YmNydEW0Tgx4cp9Fxdjpa/ePJn+7KtXch+En+DzaDRA/w///I2ERH/85ZuhyVE5euFV zBAFuqquPXJ5f/rpcsM2iWWeUqAQ14+Sq7MZQRjPCenRXmRTHSieEg+MRfeet19eTUjsQPJuPvmU wbI8ilbErAchodQH9ZGQPIj/KBC5mbI5EnD4pJdeP0q3QpDpJ1PWUfjIw1SVFC67x/e9cyM4KIdV wjoUKJp6Z3Q2LyhhAQzV9UI3FF3KR9+8kANFOetPk9cEW2BxyRBhFQp/84c705XrK+mOEGbZF2Hw 6EqgBMFG8KpBxVMwlPhL89TkDAXBGT+zRoT4ceZh/6UPbE7vMlcR+8H2wfTut0umg8dsx3iBH1h7 6QbeZcGzM8c6Wm3tRabkzPP19Fgqanz5e9tl05y7G3wHjJlc12ixAYwNc8TywvT7f3k9Rtp8v+OF hmehaJk5zDUgdwJzFSFvm0H2mTEiT96NAtACdnDYQR488+CucEUtGlO3GoUDfsIr5f0OUkjj6cME wojr091vZS453tNWle0bWRpcaBDtmUj1YOck8KLl9k5OVPR4tc3/7p+No28r3ytziiQdLHKL6/Wy 2/rT6mH4reaqKl0j9KSkNHIPZydGJD21/azK7vYBp+dO4OhxUc4/ekVvVbFG2ggsPqvM1aeUKAPe lH69p3+yO/0Xv313ko6/+OTG9L//8dXpT796M5aaspJvER66QYqJ4mI5hWasTwYDzD1/FsegUBua hOL5ttwAvVGgQKoW5j/7zF1ZQBZ69+BgevHNDsREbcPL4TFoMeAFDIbCUFzMbUQd4W5Sz0HCDdS1 L755NP3mx8/nkNgI/FruR97nY+/fTK7nv/1H90XQnV788gScYnPQKFOL/+OX2y0/Dnas3MzEyEsw dYZgc9kdTuygntF3gVPIffjOB+5tqAD3RQD/8Es3M7mYUoZJ+/ZcEXziHauz2cEu0JabwaNOKfC4 PKv8jD1gkX1eQYNQ8SjhhZIgXVzIoZRshhlysCmzZ37Wgob1CPWHSt6be3keipdlHZCVsFUuTlFU PBpN2w3jixFKqLGItXUjRRmj632OR8iAbJ07TijiOxw4XsNH37ORR6SkKAHrQdbIpXW0XuRSCEje rDeZ0U0hlP6DL96c/vFntqbf/uT5PDPl57mtA5jIUEADisK7tEdb6x1X7zscqjBR3L1cXqnzBqeu Ze9RHntu54KSFu5+4smNwE+sl4bl0dg/nALKI5Nv5sbgNsW3odt3JvRXvZ6ro5SBXLF1+tC70Far tneAL6XME5Jz5Lne80BZI0QIJmvLcfLOePTHO02ODyqjEB+CNMz5LzM0FQxwwMmRCYMZLYY4IM8l 1DyYh5u7tB8Uqfv72tMdFsOIW2dKR5Jc5T3tR+E64+kNcoUWXUq6WIyWIhBvfND8lGe+Ob2Nc/Kc dyis08WV6dmXDtO4nJFdb9/IlwXHs11BdciEi+HJNjhyu319wqOvBZJQIOPXnrmZvBJL/cHH13PQ CNSIdf3NerG8oVz+5PlMj2blWSsPDn3Nm3GLvJ5w6syW3iaDNPzaL2xGwfzBF2/E4tpIAsjS7B3U Kme4xJxsZoHfuGIYxl6aSeUhHFhAv8ceKOaGUrRIBJJXY/HlICi3z/zi1vTf/7M3srl/5yObUZAd qrCRa2jrEcJ5L++FRfVzFbEMA90/mT70+EYEmEJnPSmWf/rn16JEeJwOx9NzjyJMz298bH365Q9u BDc0+iw//aHNsy56B8I+2Cf/HyySSTw7JfLrOKVWH3lalF8mzGx3NBhL9o1ndhK2/NbHzic5zGOi SIV0QupB/auyqDImpM2oreVWjaw7ZccjZNgIrZ/D0HiPay0trcfrEZp6jnQkzLgnypBi+6Mv3+gh B1hc77CRDAoJXqwyyIP5+MZGQgTepP12TYdezobHw2N2qChOnPZC4s1N8wrrCQnXFG0ocrIQLquZ QZWs8na/95P2zUmaex+DAgfVPti1yAdeL97Gg/dthAEicwePT6e/+MZ2Udk4vM4pYOlHLcat7BGV x3KzdQCGvULjE771OeJhhCjy4bFoHL9682h63ztFEJ0obeDsr354K21cqRLunqTCK1WTCqRcWZLj o4G+vbC+b1ANDTqgTsgqGh3vluuGHtuMh1QTq2TaV3icgk759ucBrevd97eud+bAaPanEwqLaB4t FNiv4JFrXnz0Lkusa9OizDaWW1U8PCqP3d7uduiizxTW+srJ9IHHV6eNzZU8JK9nzH5jSVmfP/2K YQHFAtkwrnwn1bRSZgN4DRSNJKRDRkhGzxur3Bl7UyALbnzgRoD3HBAH0SHXD/dX57ngLZWqJA0q 11kWzniwKY5f/tBmqXPnYQsOi+SyjSNUjz+0Ml06vzgtm8+2xJM6zQFD9xzk/sXiknyH3AIr7BCp ONroVNdU0R5amz747vW8JwWJ5/byOfk2idPrO4vTC28cTs8+j+nyJJ7euTV5KGFcY3HrKj8mFLMe PBkWy1oCHf7Jl28Gm2Tdh4WRr8O2mTHki1NCausqF2XNHWYCt36tMIlgaAyHTX6loRMPpOX2diw4 4HrNKJjf/8L1eNg/e3U/+wJZPvIWjJNrOrj25bkX9zKQIlXlEAk2lMjQgZnq5t67229mXXkCkv08 MUbjh3v7CdWxgECa/+Ff3cz0b5g64SBwrXWn0L78vZ2OeUsl8nj60nd3z7oT0kC7K1/akPDy3edi uNqrZg7j3vTBx88lcfv1b9xKC5T7ZzD+q9+5lAMllBWmp/1juXMK7Mk/+JUL+S55RPdgD+SbKIVr N8ttP6btkG3RApnL9J23LcX7S5/kakOkzNJExywfeOM4SsXeBIM4tzvFy5mxTZ5Z4Yk8l1m1svnG NbK1MB2835osT9//afGQnApeEfplEQIVRFFKFfBmGb9TYGBDXubhxukcmQkXLZocGjkD0iyjcPqX ozQvrpTgkKfrXOS+dnz3QdY/zdsnPMKSDyoo7JwWI2gh5OZWl8se6ndp8p57CUc3yWsmtL8NALd5 Ma8OAyFnt5NYHVW/jYQPyFFn+NIZFoaWJ7islkVOb9cxzIR8ylLyQRYcLa7NfuT+tWwWi/5ffujS WfL4T756M94UqyCX8v0f70V4PvFUKZOV5Fnw0KeuN0GulSSJuisqRyawwMisxGs7A5FJ6ullm9G4 rgeYiLKYAKgcjZyHygoBEgvzFuXTQn+8dxraXiFVqD5mPAuFAzTrgIT9gbe2upjG3Uz5QVA3lTWU IoDaf/XqUe4v1nO/rAIUvKoYapqypXaIhwOg+sl74ZU5UOGgv6iyuZI8kzXmSaluEghKh0FwAITT 7inj6k0ivtaeN7lAEqFSaW0VDBwO10wLztZSvKo//+u9ENnxZBw+FVrPPAyT8IBCoVB5K3KVWlV4 RzxBPXhtjl2YLq10VBxDoOqZIQ7bHev15KOlLLZnf/W9nfyOEXji7WvJ86RihT/97qV4IYwkBWff w8MVJo4Wf9yXUDMcVjO1UQzWBzanX/rgZmSIhyg0BES2/vb58Yem6f2Prk6/9MHz8fz/6Ms3Ewby iK3T03P6w3dRtEnAKxisFprAMPAIFDtYS56BPef9/+lf38oe2gMKnqzqi7znYimYRCGuad3GXEdp BIWvFrXqiXRyjjxRYQqjd66Fqc6a3DY85MZR0hJ//TQvpf2omVa9MU1bsHrr8nvlnAuGTSfEXMgZ xbZ4Y0n6+7vwmuC0Mm2pZHoU0cLM43bX+ebyFKGcJflOxvOh+8qYIncot1oQeo1WJkJNzQnykMf0 aVPPrVP45FQJl+cz9CY4hfC0nrc9dM/DAI9XFJYvWFpcjPfAW+Aysqg/uXGQ5uMnHy1rohlthlHI o2CMBESkIbmcFl344jArmzsogSnc1+SlhDR6EEpIjid0yy9KKrbCJH/hAIjVLSTL7v831lenBw95 bwdJfptaTChdR7VldMSPl4eF33CAYIouH65Mn/3GzrR7sBdogoWlXNwb66qayaKPPro0f68rtZ9W wVw6mD73ze1U3FiQtJbMAtVJwbdR0d98Znd65qd78R4Is5yH5HBmI75tJWEZhS8ktl73XSxrq7yg jf9nf34tzwMqMYCqKlARthmUee0WqpO62UJnyVcC/ImHNqZ3PlCUOSWnwmZveG0EmtDzJHh2f+9T 5wNq5MKH1XHnJLk/DJLW2UF76rFzgTq49zEE9ei0ntvIhSRhvdc8mP2m7N0rKxl4x2EPtnCGQbCv vEuK1B+wEd6oQ2pq+Kr+1cAkenhZe8LvM/aV8XQA5VnI483TwgDG2C3v80whLsTKKpSZimYXzoLo CHEg0B1S6Y3hWfPEG5qobh0nXcAw8EDIZcbNbRlo4lnbVM5DCqlfPJUqLMozfaryeit9r++iBOW7 NGvTemWbkGOdJ97MTA3kotOGBgq9nsahQbBHXBN7L3He9Scj+hs1d8sZM06qbIC2bx60NzL7FexU h71kctJpjQDmUL/H0d6KaCdsg/2QdbQ/ziYMZeAnGvtPSidFgfky18gE6ftWpleXqgCvajJHoACm ADOYXBmF23Yr/7YuzijZtO5k2Vmy14PWaWk6mS5e2Dpbn7PmZ/S1rJlDKO/BGqtGoAlWaXMzLqzi Z8P395sMFFJYNOV202goOgupqlIMSbE2kpaYBhO6rC5ML7y2l/cOF9//8zT8nhJzH6GDPQeTcRiP TJvP4JRSrvZgcl+Um4rfmIDD6gDb8XIQEfJUCK9k6AjJVDF4K3oCB+/0CDdHh7rn4GlcOm5zK5c/ Yek8KivV1PecC3jv/Y+ey9o8b7jpThtpA4qbx5w/fP9qNoDF+PoPd/LdvE0veZSM3FqYgl369Y+A gyznee1DpuZqy7jcHjhYIwrAYXCYJJO5+ISmrJllQBXaOjwUlp9TcKqeQKG8JwNaKYtvPLOX/Tm/ sZF75lH4N2UXIrVrAIgn0z2oZW61783BoqAevtxyOU9B+5Tnsmdkh0xobSKQnoPHI/SjNCgfVWhG g7JR6j6/LvztkAYJ5PvvaXlcmkK4xJiOBuqR75RTsveDa/7rT+/GM3J9pfKnf3Iw/fXTe53aPFc4 ecD2p5zng5u8oQzZoFhvzEwUDhnvPnTOM3PEsy9gljhMrufeu5dKErhb0GywaFfq5QyAsENLth9c K8srmJA2n9I6N78TD8T9zBW0EN6tOeyLSa2El2y13GQBYM9YKJ6fhDWvJ8SLs3di70f+KAMh1j1k MVUZXDEn3b1n0DFZtyTOX2lV289vhId+adqY5SAswhkx13xYvHEFlaWFnDceu3vlYTMG7ZEsfMR7 O/CiLLxjrkEnIXn20j97hob8cHRt3P4bQyhMx4C5ef16qU1sfqZm3NsDwTvyt5u10Q6MjeAufviJ 9elffeF6BjZQdPJZSRhKKM6QBi6xzQRK9KoS6/w0FtXh5EK6rnwVwfRQKm8E3GKqNDqwnWnXpCQh FupRdt4fEOR2AZLve2R5OpkkjJHAnSQZTZGFVWGu+KRV4IaxXKzePTnpXAAAIABJREFU7ZdFba9h cw4217UlZR0u5WK/53VIePs+zbjFY9UyUoYGa4yRS/7mLg9OeQMnJBQpABuu7GyzPv2BzVRC0fQo 9QrJPK/POdzuXwjNawAatK53n29iXB7NWssX+X/CQmgYm0H1IZST93I9oUJGQ5l1d3J6BrIltDyr cnRVWTiInfQypQLF1Q810Izm9/ufvLx7RoZHcHkR9o+wfek7HbRLbhgkBwzcwPNZL8yZoR05LQ0M WA0r754xDjCOvpccuE9ocvJF4TBEFF7YUNerzL77o53MLhQt/NM/uzn9w1+5GC9KrpTs2Qv3M+i7 Pc9IAienMg+fSFM5Kt+51aVgzc4HsNe89qefL9GigyciyYiwSwXSDjbYUVF0TWtkbSifrY3mhzgL TuPoSHCtpGt25uS03y2Vwdf3Cg1byCqOybuFeaXappBqUJwt3zGmVwc8OgM6fXZQKHc6TcMv51pv IKPfIg1lc1RSy7evxcAOKu10KRy0raesElW0JVicEe3IBkTTM+Gf50ifpinRR/jskFnSO312DdGA 33jCGKu15ebKzhTWS6/vJrZ854Pnk/AVpthQ5UaVlDeuHE2PPbWRZLpDSQhZCMlJfWzKuv/kK1eT 8LY4n/n4VnBFLL/N9jNWA8aEJWaxaE2/Zx2FDfaH8nJftK3vdK1L5wFZ92fl0im4JfCvJ2HzKUdY I9UaSuSd9y9Pl+9RLi9mzAaGFGymHebaOiiDjsT1RqKvCrzMmcJAn3H/6EuefGwtGz9CuDGpNxXC +6ssKUKK2/2PNpw7VOHZAAvNz7BeIUY76Kh2axSox31t6Xjs7ZDXeKcamjskDEa8O7MGr6MBKkmb z7mu5m58YO5NQjY9oTBMbxym/9I1Ccivf+R8LKbv/Or3d2OEhKryEQCPgys/U5yvHMVTpPSt98XN 3eQqeU3gB3IfgKG8tzGGjQfo59bEIXUgYOiwc7w+zzf0jAourLGDJX8XBPmL+v5a3JH/EjrHW3tx vzTQW0X6D7wdj4LisY7x9pam6Xd/7bx0fHKHrqUnlGzEss9etP2p59E0hbWiDCkACowcpJ+NESIH 21hV+/6Mu1pZSL6XslUlKy6p7CWUonSA3CLjQJXwIJLzudG+11RBZ5qZhE6b9ZodUns++M1fu6Kv r7MPrKs/D9yzOv3+F24mOQ4SQ05GPkuBZrCR8Oa2zlXmxrMeAhBrpdIWNHtqo5FZTs+9ZCCJ/NIl 0I7SktuL51fadSJXN8DlZNq98n4PjmrY0isITxUyzDoB4TPL/IGmhITMns2lRTxgK9YefpPm4xlm va43h3umsBwkVk88ScieeWk/Vnw0ztpclvHcWpOH8FQjhyGUkcDkBtLfFq2uKEsipq5Fs8ij0Rei 3GJkbPyrh7GeQpMPv7ujrcacuNXltmWEbWG7ioI3RdAkpusNjhFGC6kC3rXZQaWoV+U6PvqexSR/ LZrDl5KqicNc1rkqwwIIE0ZDrJ+NzS3K+Xh66eQwAu9ZXDfcQyaDHJpoozP/KPfWRDeS/vaXhWVS rmmvVRYWX+g8iO8oAd8LTqIixXq5l/RX4RTaLb4Lcrtuc4F1Dgfj0rmIgLvlJhLC2pPz837yFtxP qzttlqZE5L14Cjw3OLZnnj9oP+bpNP35X988G2+lWqnq5zkkXCnEMlfWcrqfjc2CcN1zexLLmBCv 65XSHIcn7Fp51oSEQUkvylvW81Cqd3ih2nmmgJ1DUbjewd6gPa4HFPLFOUEt5yiHxohiq+U1Cmuv 3VqYPvu17bk40RBe/k+FbW2pxsFaOGCUSmYPPCe/dZqxXdtXTqYfv7hfdoKwyTpwDd+G15JR85l0 jJGhOUHPn8GtiAtf3C+4NWDfaTrM/IH2VcYLPTyOggpZXrB9ZaiwRhlUMed2KaSfvYpffiEJcLg1 4ahnKxC01UXvs168GWdC8WJGIAR8SoZapZsm5jLK6LhTpoN2NwF77nk8OCpSfm0VO0mrivZdPy4v XQ4q9OO8NzjHmUOebLf9pkgDqY4xB/HmHQl4zzrwaO5xhIHk1n2Jaq7fUIlvn/MdSfcqH0rpO88h 6W9DcvJIm212lQAdLrNwR3jC8hJ4MHptIxb+8Lhd/qy8JK4HVF5W+rVxFli7AbxFSOHm0q07l0gU ipzlk2YrRkFc2GzZ9+KttgXwalSGeHBhFMBddb8qT1sSbFjaV7aWposZwdWwloAKNdCvUDos13Oh AtmJByJUyfBLpezjKiQHRQ4tY5IGmf/898jDKWsTNIqDUnj2hW5YBHu3vWyejSJoQ3WVrg0qjQ+K nZ3ctzUyat0zvXDQBmz5pJLmHeYzQsbmtGo5hUO8I+ERa+UwsKIUlQP0jvvrKdovYaPiRUaVvXoY XBm+Ip4aT8lnVS1D9Pe2Iuyv3yqpGqvNexyNwwlPrjdkUymmQEMPlMOMz15O6DTThihTDcWqqRST tg/e8VB+qrLArwzkt5/HtnArXpdCgRzQMCrCUPkWIZD7NeS31UkFImFom5R/NjfnA0/aG2tKJuQG yYPoINOhz7e3M4DOeSDEI3Ni3d6SZ3vPm2nbUpPM9mOMvuqEpe7d//KHV7Lu9qPzBNo+5f2DddM+ p6/vjsPt74x2dzyjq+r9h7l2sQSHGpy9PvzEWhSDtEWxTMKysoyOHkIeoWfw7B2RNxg9OyHamY7y umNgReWx7UdOYpkeGtaHQQGTawDdh9NSkvblSQsX1nbHkjnL1qpUN20F8t0nHCce2Xx+Aq9IXrGT djJoVs5yqaQFGeJiruI5ueu/QZEsjp6mG6YMv7AfgQiBmabWB1Zz0DJ146T5p8y0u2clQs2ScecB OA9Pge1KND/GPVEEFGBKu5KpFyXfS0ss8Sspy3Uk5MCkBM+i3PnyQKwccB230UPJPcEPgT+Urrlc WiXOv2Ni6fwaY8CBDylYVlj+C+UwbyXUvDN1rM3VSgBecXICEFf8k2ciQJKtYYSYW5UGzatN8nuW Q98Vyx+m041y37NIPscbkHfSmDymz1D+DIccHm8kh2uejELoR8uH9XvysYUzBXjt2VYe5e8cwvLx m3RUawa24XPua4BGBznfwLVRtgTdPcir6e0kPHo4w36JO2ke1+Y48ZYdYl4AVDVYQipls1f0vZ/u hwbHngEFE/TBN6VSZ9/d66c/NJLQC1E8cndCMvung6KEkrMnDSO324MspzpaYnh1d23iadsLPAUW CbkgT6v0RYVsODiuS9EJLdOEu1z2D6mBsGLuNcdjJmFSCQfoWto0nOT8Qsv077q/rLIO6bVbBX26 DgMB8tMk9JSp6dIkcpEOLE9k8KSPSqsX2RoGlgEe1EG7S63AjdzhtubrPUNMjjJH9I2rZG32luZc kWp/+MLm73Mv3cPKaZDuSYHAJBYWxDAngZ82p6Eo0xXTEHJWyD4/6KPlcu1LChZjeIbwch4m0Vxw 82TOmgHFrXKWM4ti9Pmw65/OcxXihVXpkkkO1KP30zszN/RQWARwY2NlevlqGQDkC8LouV8czmAh NKxxlKYJvIMlXgcVIGhefuZmeASUV5pIZwFl/WlNPFMUovifgDuUSfRPU6ysRXANB0AINZKCFsD3 l49KtVClxwimbta/TVl5ORiss0PnMMoBPTAPszy3WjpmYYCDbvEoLkq5LT2t0DmUNvy+i8XNuNLw KChaQm4jAWBHU/CgriW0NlS+gcIfdMVeXGDKh/KlnLyAWoWXcmNK8uOxrBVsz+DWHgMLbleCKgh5 xoSOnQwzWiGU5kuu2HwJIaTkki+S/Lwkib+UPBdwKaUn5KVMIfgZGyEtb4cgymXIJ8b70Uu37vNT 5IJgex7ype3FM1gHIFAHhpWm1NyHteEhWccwXHxgM4edUrG+K5u9FlYN65U+vZWFwAj8G0btycfk b7S1dEjDex4xlfp8lP2/+Nz1tJ8c4F57a++MP7x5ohos98eYYD7NwZwrf8MjcpBC1Li+OO0YaYU6 +K2GztM65ox6CedmRDhll5AZMHRm8XSWGMhAGjLOa+6FnOWUYg7tysKYu4hWqe0ub7t7cVoPOWQr fpcuyIF1r5wn3rPzJUrQg+h7rB9FP5L4g3EjyPyEaLOSDjarsicCmm7d5sXSd7iQaKQEAylYbfOM GYExYq79nFF8ObPNW6XJfKZhJo+FLEzT2nIVl9eoWIa/f4YOZV1mJofDg9KrnymsjbXy6txzqbAE eSdVCB5SSqxhdTxKg6N+JhvAE4MwJ6QvHx+Ghwf+iWfArbexLI7FtUA5IPdVgQk9RujHqtoMG5qR 4crGL7a3y4HgObg+BQHjRPhXV2Ckmre463wHi/67lJWXMNACEH5JfOELrAoFkOnLBllsVmnKPbw2 j+7KDEWNmqtdUFgRVvni1mj5mWKhCTMFQzHCqQ3+eRWPNAvfgLc6OhszdedLfkPorQ8NtkceBXI5 4NSZyG68hlc0XgO9PKYrjzxCQuVM2C0xXGYJzpUdm+/Z/PyJR6bpX37++uzJ3h48QongBZN3FFYx HPZJCEURCzuL7Wo49fpVXoGewMXpve/s1B4Ia0rm4PmGfSpnhFhBRgirqEEpfOFb2zGQpoRTIO5B fs51f/jcXq774XPn8p2HR/aujBByOYojZJVRpAB53uHKl9/SHHwPMsCFYPj8DN7IewvLOJ02by4m NzpocUblsDkvY+YrGyNs88dhJafldisWkJLMHIFQG5flof2zhTX40wnnzYWNcv+Y3+ffDHEICkM9 05+Nkr69W48HW0VyCqKweDI9cA/ITmdB8jozsn6ttEMUAgqBjoKvh+icxfuZ+d/lrkebjmsnlD9u ZbRcWSdpzI4BPtfcG70Aa+mcq9Q2tL2tDAf5H2V1z9mwDiwNhqKWI8teeM7RgD1SGM0HDgxchx1z GMY0n/YSpk+n/FEWT8J9CKg8QJG/5RZC4idZm9HaWxokD1LlyXDKE/Qw7aPj0rP0wgs3FxzPXVVK HpilZEVUjhzgtBDcqvUIP5HJwpeKmh4Jw729pWltuTEyRbW+qgLV4Qn/vlen4jaHYAEtkGcTj8uz OITrc36GclMlEaYIA4ce9HzyJa9dbY6LR2WTWTfPK7y1oQ4JDzFzEecNu/8eeB74mOPgjMZU46H0 PNTwMq2Hw+ja9sDhEetndt4dj5ppK3OoINxxz0dHJas7d0+Von2zHzxEOYeOlIcjavjPiwoW64el wh4sDjzZsE2egqR0DXw/z5mSCLvojVbAxpp6n7H3KnzW1rw7HoV1UBH2fMLO4U1R9P6fVw1D5N/W jSBTPsI8Hln5yrsO9tqeueeg5BdNDGrzeLB8yUeR5aXky7Dg7uwvRInaM+0xjFYnv9TTsO8Ur+/P WKkcpHrIMZYHp9OFu+dpzaetuJEF68qLSn7mpHTcjB2lUHbZEvwJy8uu2kENPVvd83BezZOM3Nfo ASUnUZIzO8Rg9lyfuaYyWitMpM0fXdhYmD7x5Lnpez/eTzuNe0Zd43PJy83DTTPxeq6wS9TLDXb0 F2Pa5x0ORlIeFFkKYJTJIPyrV8gYi0pGbkxVXltU7is0MlW4o+FbBdLauL7fM2i+TS4X8Na+kmN7 H3Cr98iBLf9c8zP3OdzVS62WsRJj9LWwjVX1h+VB/5IR8zsn6WnzR4Vn8Fg5IB6W0KoQaW6mBFg+ bRXvfud6lB52BjfuUNrYny4tTM/8uKhn9LxYA+RTaF+NkTZQqHp+szkO1uVOhPv/1xct7hDZKEKZ Xq3N8mKNHsUhXNDg9UTq4nBP3Z88jIWkAFUyAUAtLgVQ4W/4aQ2GgnHYKTjrJsdz78W634RPXsn1 hNkAqlhUx0HgIvN4eWcoQ3g2nsHPWTGbzN74bK1RB0Wwdn4m/HJfo2AS2MicEfjej3enl98ouR54 QVgl5lmCFI7v6LTlHvDVpXks+uJCOvn164G4MGSEV2EkaOnZS1X1pJhUlRzE0e4UnvObHZhaKtyl s2f3edeAJfN7Rsx68x7kW46PKvyQ1LwksiWP6tk//83ymL16VjzAwLmaPjbeqwpxQsAkqOsxW8N3 bqn8Lk3rO1Ue7s0Bt3+hXNk9TsFAMhjOy39jEHDHa5V0LpiuG01mU+Q6KDpoosrHd8Ybi5ezmOdJ amCx3ydUyhzOjcWZamVuP5vZR1dmtHonWmFUOZ5efqvFHuuNPQEu8icvt4d34K3iDR42od1ZloX5 hEIZVmqjVDMZ0orOeGZPjbKbw0g5PuuSil5SUUbHSc8091mPrQNo6YGO52pIN7xI6178W3N4vLPk CTMYtnxy5HoMuilGzBrkyW8rrOVlYUuHVI5u+t15aCJLgefKgnEBRwmVYqPFg9O5utONCX9QMUC0 pvcKcQgRJdDwpgn0wfMcLqeEDvMgg+QRVqK0kpg8djANBJVMxiXVA9GRUrUe/39eYxzW3kEhCiOZ /fPvsYjK/SqdHRnVEm8rllVENsZGCSnS1jNXmF4Lb3Wt4Uh6ejZryyoLr7FKuGpHjqHw6Mh1z9ke R6OkiiPz/ZgOWDBC7J6t23DJeawUpnXn5Xg5AM1hNX/n+krc6IMIz5i+e3DU5PEIgcIseqw6RDjb TzhaNijQIegUiAphkNOGE8xWnYHjHXrZ6yDV59l7BJsyDSJ8xuLx0ilH96voMgCVnm9YbYYPrMVa CSM9PwM54CwDlU1u//xrN2PQvvidTgz6b3733umdDyxNm2tlV5Un3N2/mZzVaB+6a+u4E2bAWWJw GnoNPJHDOmixO7qqB3DQB2cUGwBnWqbajmJvfH/Gx6/MSnIO7UqdUgPC2Ggy7vDQdkKkl3XnON9j 7TPGfuZMP5zl07q5H46AdfjOjw7Cb//eRzeSsB5zCMb5aN5q0Lv0HjpsuKDT8d7OuRwYqCbQybs3 Jak/c7mllSZN/bdpllExvfLWYrBo5ZRv+Lp1sZ0mPGDn2bUVtciMVh0VZt9gVsQYXlsFSIG6HzMR 7shhebiX39qflldXz0bQD+ZAi+MgsY5ugqIiTCwUylfCxhr+o797dwTZcErlYglRuZ6yHDaB2XFT pjQ3Cc9DsbFeNrcDAKoINbKyEpRGE8bzHLd5cUfea7x8Ny9hkOWFCmPOI0laj3AqPWFm9c0gT8/z t71snMP96pWdVJUoZB33whZWwGHoKLQpB21MFglPUoR1rsQQMnQos1dKOcibCclsmLXx7D+7UbCf nJ4NBfazRqFSmauXwb7IoW0WLJkq0NwwO7zCh+6tUI3xSzxjEAjP6/4k/B0G98cw+K4/++rNeInP vy53WCVOadx7sdUbIaLr8qqEOJ7L/Yw8TK/VcIZSGq1EgKjkgMfOA6B0hxdROh+cUuXwGiPYKRKH SMjsgHq2cUApXt6YveUVWiu/ZwDAM3yfz1JCbwT/V3nB6HlhE6uCNiwKYMozC38pePvh+iPEHiBK RpTCHvxR2tHIbz3xphesk99LMaAqvj3MtROTKDiKksIahxvqWxZ75CMZg05BrrLopJvRMjSUVZWj f1tDZ8N6ewXAeaBV7mh6++XSLNkv3+le0taz1iIP+fNzisA6+dz+YTFoznvyvPNUnXSVTA0Hm2ez DyVXtC4MKXiQcxnIknmEa4vJ8/Ia283QnkKfD92MYsb142m6kvHbYYlQKCi/1mr5s+apRyXePJ2W FzsF/rbC2kW9MU2b59dTltVhn8m1eydxo1lTBx+wUEXGv7/1LOqPVu908+OV4gYLXeSzhG8EdpRA vYR/BMFgAAIiSS2EUnaWQ4gHoSdpt+Emnp9femojwjsmcNzpBY3Y3GK5TzmPYfna9MnV7j34/ED3 WjgbStj/tpfv3Z+tne/TVgI31PFEFUZYK79zgBxGa2ONVNQoCQru5hn+poRoDpT7JdTWxzVSBT3u /bOoGqdZaYpld7/KFNjW+lAwLStrMWruxj4JyYLhOUNOt7wtpLE2mTaDZXOtrR07ew0p3AOhGwwZ 1sk1Kvzdd57yA/csTDsS+MfCyP3p+z8W+pYyaDp1KE+mtWVeN4T+0fSDn+wlZ4ZHyj1hacDG4Hsd NGs/EOTx8uZ1GBiiKzdqgVVIoffHdJdO525Db8OUtgR1YEhDorXVtRhQRQwMI57HYQfPUZzZ2S9B IKOVcfOb5fg3WckIrBEGZ7LL8ZS8Sw7yHKr523syLj4N0QVvXrowj3aPt9TChpuOZxp64SLbKQ9Y wdsDRLv/A4YQ4xww8yyLc1tXvnNqOoAS8sxeFASF4OcvvH48D7Gtcuokn+bX+tnMesk3em4qIJ7g XOUbNDEj6vFGzxn+snnSUXJtc3I9w09n2IP3Ae4OvGMgCjOK/qXXyx5xdXseOCMnMVNA+/+dGKv/ t70ze9Lruq77/uapZwyNGQRAAgQnkRZJiaQsy5Js2RqSUqZyXHlyKn9D/oO8Os9JXpKqlJOq2OUh tiMltmRLLMuyJGqgKJkkCAIk5qHn7m/+Ur+1zmk0QJA2XRwg654qFIDub7j33HP22cPaa1VifmoS 9UovmiCjaqxb57uhv1pfX4vxsGuDBY6EUm57ipYK6w8y2CS4usMR4FAv9myhqcTwYWzYJ042lXOi EZnNxGlvhZhKfOVba0JKY9QwUNwcFjWLnWJVcT2zHNHL57oybFzPwkySGOvbQuNS5sGDoF2Gah9G jpOPKhOLR9JFsBCkmJsTRxQe0LAsuYIpMN4h9yy6hcGnnSlCTKNBZY/yuQRCgRPMON8GhcyLZ7bS 4nQVTrCHNkBC90mJQgNxiHnzLeUeNTacPS8WnhWYWRzjxbrmmOvEiGQvj9ieBcSckBTnNTAxsEHJ JzKXJPwXZpyfYSGS9BfwVQq7t9RyMNAsThYW3Qk5oU/Izn0QcmEgeA8eGd4Og/lwEhi6HudHCFvJ Tym/lUQ1mStea5Q9DAoGNeKhXrpOxdeIeQ491gpzTu5qaZ2EL98P6NjJVrdyALExBRCGySBIF08y Ch6DxxxQ/eOaeF1urBZIWX113vZSZLrWF7yGcIpcJvc1ebOv7wQULGhIop3GkGDYqdhiIC5cd/4p e4gUZ2At4dDFwEDe56iE51aKkUr0nj+JyaacqdYv0UGqAAMzEk+UiPR2hJuq8qZ/p6JPLa1nFWIE ubFRwdgrfIQeJsnKZ8ZSNTknJgTeKwB2kpWX0GkysvTvkVhXQn94C+7AAQNFspqaU4cC90jC/cI1 v9fgWM+ZZFLT5zqMdB9rsMeAMoCRYBOgzZDAo+orbo/i46dA8OMc0CdMb2g9dk0Z2rAxGkRVLSIV Lr4cr13oKkH4kQdubXySketbVYEIRQqftOJIdrKouRAWCsaEJLnZHpviM6fywAKldYTQi4tXy0E6 saRYkqoOCzMYjZr646bbUO3CgoAogxtlIQtjMaZjZ1tGCOwJ8AbaOQRo3FExzE2/9phoQB2IIA5D os3bJ2/Sk2ut3rfUQIoIphVNKjEc1t3EnSp2XAueB0b54O66ksjcAwua0j4LCkMuya+Sy80YGU47 /s3CAscEt9LrF/3deEXMHYv+wJ5G/NE3VqxEtOUwmRCNz1uYGSj5S8KfTcJcs1nVBA4VbnLNwV0B L8m6hFm9RBxPEpt1LxfJWDY2GDRQ5Xw2hh+PkAXIYsX4iAmTBHHKGVG9tb6fQ6DcIEwTMJ6ixQS6 CgFJLYAaZ/7xAnKY/sNXuipzc1+EJ2D2mAORxiWaYK6Be2D+4VATF/8c/FRu/TF7AtxK1iJQOEnb TgrZVNWVd0AViv+z8cbx8DFUkbwOqNoRxpLDVWOzehFdJWN95CICVW7UX5h3TkM2rcjqxsbtoWXA fpgvwzgB5YtDPBLf3Ica/Bdr6i1Us3KCAsDRhuFYG5rP3EYoo9ttPLLX1UPFqZ37bSOmkmiHKHaS pwfFDJGJ8lLk15QDc9oHA8h+xRRl1L3BpQ67cxW21byVH+b+1XoDdq+K2reLAcwd0dSk6WtFzzNX GAeDkjx6hjVCndebrZUCAM2MqpQ+eKDFAWzqFqFhfPbJdjzy4NGkc4jht9tJsUGHOA9wUjLjwdkr W7G+ZfcPA5CxS1w0X0qJWcn4VPIF6U65mlMXMj+MGNQz9JWxgRGyzKXd+/v16PYRKDDfEoyIdM9T MWATcYr2+sTfyjrIM8nJPMCdsBuwOHYOWjtYpHBAGWvy1rAx/21X12VSJu/R++EuR6S0q1wG0AQG C5xFQHc/93l0/zhe/3/LYhfllIPP/qWzbkEhX4KhYAMxR2aadCmaMIdcBcwOzCELQAt6mnK7N+5D x60vyKlEXgBvipOQ0JpNmgVJqcbQupMXDh4UG52FL3m06dQAfs1dAzw3PGG8Ze6dihn3D3KYOeMe P/PktLB35F7wagEfPra7ptAQ7y3LmLl8P1BYLkBmQnNLfSjhiOCokthG3943+TDyfTKUUA23qzFY M8e8gKFVUxdjkC8QDoUNBAaO9UXyGmOEh8uaywDOXSVDSfB68N5eOd/XnOGlt1u+Z+aNwwePfnba nQZo7ZGN2egO49j+qhhoMdR4xqy7n5wzPzxeJ83+rAuqyOjnAaYVDYyKB4TS7tLgIOa6AMRyGHMI 4CXyx4R49rowXLSdMD8YCJ6vNnBqbbJX5DxE9r5yqkNyIsn7KU3cacLGlWLz0PlRGa7U44p3RVoF /BnXsdFFAs4HPCDVnI4whUtJBjATX/I3YE7nzniuTl9AViADmeA6YpnNhAGprQavXrTLRCgKPx1B GBzrtBHhtQgvgQPNMbcuKiAP1hUKn/QKnwnglha7W7CfnaOKdwXClU21bxf8R6GHgGjm/Yea6kI3 4yYVKHrXhkp2EqaxAWRsxKlt5Rw8MsrQmVqCEIPNQFhAbotw4MlT9Xh9piRgICBJ3NCXXu/pYbJw jx9svgUgqRaWO/BWnFo/PuNckqUxbx+56TNX/UjUsmEgmGPiCWkeP+m2EK6LeyEcE/Iaj2QFkKGr ceSfyCVl3AobmBidqigeQ+awxgvMckssQEnaJ5kzfv8rH5va2kJyAAAgAElEQVTSHCMywcPku8++ 1o1lQi6S2PLKagr/ePIAbYEMcJoD0sVQsmCovmIAMU4cMPle8Xw4bXHfGVz7pWsDGSBxWWFA1Zdm lDmeFoUSPA0MMN+ZPUM2nmiGwG+pHO5yNRuNuWfhsxhh86DwgEESqDQBLQ/36Tl1J8CbKQyl/xMo huiKxOFlj9QVYyfveb3ycElgVZXYdRtEDkIQ8DxPrjnLdPE60ZhIicZpBwz5kb11eWwmExwKdwYI GKNzcxVPuRZPnmrFxRuE2MZQTbU9l1wjXl2WZWcOcm4JT24dACmsC8mDdTLcr8U4Mg8iGtz0YYWB y96TQqrEbKrkeOLEwhDkpDduldpZeCYVGy7ubXM7hWLUuEg0RRVUirMXTfIIBgtrLghMz0aylbBy Ofcnma+ENEfv0YbmFv24jGbKB2d5MJLuCv1S9ZT5r1X9/FT9TF7izpwz60QFgkQNJbEWGTF/J0aR /OLKZi2++u2tWJhfVlg4N9e+jUVFBstnD9n+Sixt0rHoOPUHryIqQM8S7qJdOPejwSluSg0eIL1i fCYbkBOOjf0f/+c1Pajf/JU55bZgd5A4RG8UH3+4FReuocRDonQUZy+5qsOpoYbfthkmregR7zgw MOBfyDcRTmaPjGvlIeGR5FOMa1R4sq8WL742EnOCWQwIeSuqMGYGTTwEDCwLGJ4w8ly/9aVdoi3G Q2Lh8YAoTuTQlu+E6oSwyPLnzuFRhmfzcT3nLo31PZxGeABck4QrpssSgODhK1d1oK65dFiJos2W PCcOHb5LSkCpgsbccX9547Jocs6MAwADi3fyMAR6ad7wnqn4ARZFxID7ppL4Nz/d1ELOpXBwcj98 ZVNhBd4O9wIPOr8nKU41CHI5vAcllVN1DMNL2CxV6zd6ytXhETG3bFIayTFej5y45UXzvK/etNgE g+qTsGMph/fmVWTdnZh38yz1K7OFEj6yaXPulYP0T66t6RnzzMmrck0AEl+FWeJAfTvcpEIGhAMV n1zRxqtzq4k3L/+m5YdNe+aCAZYKrVSIcKgLVKZatmHIYFC8aGGo5Fu4oACOK7dR2WinXFUi1TPf up9vJrwTc2cNr939dsJHpaISxpe0iSropcl2/gk+q1bdRtzspCDU3bzMPAAVkkFKBxHPTz2HE18z h4bwVgmHxZLgIM7UzurNHRkFTzUUvJ88NUUTeG4uUDDvubkdEVl+J1kzim2pKkmTNg7OjbVq/N8X JtFoXIuTB4fx+V9+MBpc+J0GS+6a+sxwn12R8akBORiYEIj4LF4ARzteFDH1Jz5iY8WQ9HdqguUE /OJzs9okbCqs8rmLW/HVbyPSiddglge8Aahf2NhsagwFmyxjdbC67zT4bsJBYZpSczKTwUJg4bO5 OeEzHIIFwWblQeO5cB14IzlnwenwsYc7+ly8DTBFXM+x/Q21MHz2qen4va8vKyxhQ3KiceecsuqV Su0euxbg8aqoX5G+P9P0uMEWXUNCHy8UcxnhOXEdcI2z8X7l6WkpwPC9XAdhNGwXeHtgksi5CErQ c1WP50J7z8xUz8R2qu4ZysGDocIpjuy0MF+/aSYGNjSeD14aryWMIxnOYr50g17Rmq5fbLNSP7Yi tjzjM11tJjw45otroGqJQaqmMPbHZ3viKOPeMFj8nEVPHofDKSsHZzgIVUYrJ48FsWBdkGYAksDn svUzcwGhB9/Hen79oonyrPBjA8dFkZtjk5I3lXSdEu4IgbrSzTPDY73/UC1OHS3Lq8WzhOue+cEL sycEBsvpAjiteO65Hy93fCQFd10nBwfzRoWVVMt2Qjwpg3PQU1DAcAH54DvYJ2JMEDXw5NaBXbLR oSAwarh6mOEKpB0Y3C+vFcA4NbXT1cDaffQ4pIzcgxvmCbkaNYy/CwcZQCvPqpbbcW53CgjhOaCJ LJZ7Nv4cimtbDjOzurR44VPBoj+ESjlV8zusPedC8aoy/g0nheeW8WlQba91K/HNH1eiOjHf/51D BqvTrsWpuUbMzXZ0WrB4WGBqMxBBF/ibXly7SSJyFI/dPxV/e76rZPrOQc8PmxTGUC6AU5QNxckF TAFq1/6wJy+Mzccp4CbbUuydq6kzn6QhxiPfvAQIdlAY3zkIaR4/2ZIhNbLbKGeM1zOPtmUMssvO cJgKPGAcPz6zpUQz14PRZoFiXDOPFUbn88/MqA+N5PovnGxL8YewAs/iD7+5Km+QfA55IE4NPBWM BSEuV42xskt8y/OjpQUj4LPX98iG/6efnI0/fn7V5Pxpc5OfYdHDWAmAjoUvYQ2xNIK8xu23mCXG iPJ9o24vhfeKs6tnb425Iuf3v59fFfsrnsLvfm1FRpN5oBcU7BzGldwOhg54A6df7rnkNM3ke8KL Nd1CxSGmMKU7jidOthVKXbgOzXVFz5O1B4yCXlRzn7W0vgjPJbKLgEK9HJ983IRvzB+eDxsFQ4Qh wVjK04TsTRxYppSZn+qJWhqvj8MEdkxh3ib2YNl0XC9rgsILrWcAdHM1mXWHAVm4z/kxPBpynVwr YefzkvHCc3V7DuuD1zHfw7ELFRmHZwiBQyn1/iWsWi4wsXHX84Gailj0/rlyjGeM5+TeOT6DsDL3 k04IERMHPd6WFZX9nWI8Gdn4EwpjqN+4MokzF81kS1GLCAcjwRyJykUUzX4/64fQudOqOjeZtAOV YE8wiQz2zhTYTtLf0hfUvSRWVeXQUkoki2BorSsKtfhGBs7iXY45AAirk1E7tIhuQ+XuBotTab07 jNYS4gfOKfAQWVgYmnOXjK26trQWzUbED19ZjxurAAlRWvaC4MG/+saGegSP7a/ELz7e1qJ55Y2t uHClr9PzwnUqMDxoV69UIUsXnpHWVI7EhJByQmwQTvaMdJUIRK4gJDsm8N9cVYuWxcBrPvYQjcip jH/Vasb8HIMIzEJGREyVFakrkxsBP8SJh6VhUSP6yemJkfrTb604tDrekBcEDou8FPAOATfnq+Lo Uli8acFZDJvlup30l5RTWnBsQLFJLg3j9eWhNgbXxs9h8czdAmwUjBALmpYmkrgkuQnJmRH32XnT fL8/kSHNmn48u0pKilK1IcQjfGaeLV6JxpyTvlwTC+t3vrosw4bHSwKeZ4AXhbGQkMbrPX2GuOMT 6RrG7fINn+jkyWBG4N5Y1PXEIcWJnPFDeNCSpkq9ehLfBJpycyAj78ZXnrP7+xTeJyYNrn1h1hgy 5giDzeZkDvC6Ds4ZxzbddusMhxdrcg62B/o4qQouOw2BAaOHVRXHUSuOLPK8MPQUjdw6RPjE/ZUT WwKcU7kww9qiamx0vA02PKc8b+sljkV5QzGGKiKbVWFhko7LFcnMTuBc2a3/3xIbZf04v8m561ad HSjzCVVoe3iZ/iWDQtkXVDi3eiNVYUGP5+/Bo4IJIvPOsReEhROvPCreTspnGmScketLpv1RYj55 xzgoQJ/YT06RuABRLbv7Ray3yoVGjFJfolhKyY2SK6PjYwpKp2HMtPpxaKEes7NTgobc1WC1auQt 4MYJCXluvewWjWw0+AeMlCxkegNBgC/Mwr1k1V/EHZkg3P8zFwbxG7+6S4T5uM4zgLzCN3f/WklV KojqwEjxeSz6jM0ilET7D4PJjeSKWe5nwzJTgpVqMxQrKUnNhuP9sEfwgEgA877eGbu6GBHUQdgU oMW/9/KWVXdmnKBWtaJpoCWeAQ+O8Di7yoQNhBRUPQnVCJsIbT/z5JQ2CpVGWkUwFlzH8YPWx2Pu +GyMGd8NZoxNkEG53BPwhu+/uiXgLRsaI0h7iZDWCfvEJvvsU1MmPeNwSGrBeHJ4XHiwVF24ZhhM mRNyTmwkwlDCNxYLcBPybmxw5MrwqrhGNtQ3vj8Qsd1HT7WE4+G+MS4SxSybiZPNywIlx4aMPAaH uc/FBtTCOWVd4CgrjMXwA+BUu4XYK6HuMZwCj2jqGPJx1sLkd4CMqZj2B65I0WzOPDD/mlOqiDKS VEPNucXzkrIMsla9nuYXo46R+O3/cd2V0xbG2Uh4qR4ljvtff2ZGnihGmbl/9ERDzLekA14+BzU1 RYkZ5VnOXhroUBK18IZBuuRwxFi7t2a65BVLtsvjGYcOQTY6SXPRsMDBlSAhMwNgM7ndydU45k/d DwPSC/ZyskFpN6pmf1AOrLItfWYiPrPRDrYVeHyP1vbzIVlOXjv5uszFlfsUKWiVykQzPkSyh5pF J4Sz6lnWLStM8TV8E565HYlb4FLzjRmOwWeYsaIcwyqcZOabw5tkjpir68NxDPv9ePrEzXj2sdk4 sm/2LQn3WyFhqxy75qsxO2fhydcA9UGHkfhwyEeIQfS8W1TYtPJ4Jngv3fj691blaTz50HTU62CY KnF1xVQslJnZOCxQV0Lcyc7pQwKQcAqueDAdGAEWt/IaqU8ic+QI0SscFHgqUO09xcKSn8Ldrpdk 6Xmd5KnInZEXGFq7jrwF18/mxlCx+Wnf2Op1txuh+ZtENKEQYZB0GNOC4nOffgjx05IQ/Gwa8mPc q6Aa9VL8i0/P6fP5wz3ymud/tCFP5cEjTRl69cZd7McffXM19s4ZNsJ9YZwxQuBSWBDMP6EjBpiE LiFLrrwQshsbZcZTjIXVg8krDBSafubJljw2Fve5K5asJwEOxgqP9He/vqJDiZDqX31mTnzs9NlR FMgeBEYGY3ZlyYsriyowd+SAHjgCsNe+PhsXr4cijBYW+TKYSy/1Nf/kpsBoce9suk/tguW0FH/9 0kZSXQLYCDeXjT2n6xV0/JIiDYcWz5D5oDMiM51mbCCHY7mFUK8VgfBeRHW8MRJ8hOvEC+LwwGBy 0UBFMDDOq0x0r+xADqJnHqnGA4fA8UEIYEXpP//uhvJgovFJKQa8l2YiM+Q6Mx+6qmsJFa4gKFX6 LPJgQkgyHeOyVaL4XgwzG5hrwxhkLBUHC6DtC9c8/+SUsvADh4Y5wLxf+HkpRuqU6A1Nvc1BMhqP lA+8vgy1zkBrDONfGjkPZ2oi00ipGoq6VGIq4cDEk2VuuUbepxwt1DcCk5quJxefBIpN+Ed5+0P3 ueZ+U2G8EttIDiPF/jDViEMHdsfp+8rx4InFNG8uLmwbrMwjJbqVVzeV0BWFyL6aDE5mT+RD8RBY OP/lD29oce4R8ySc6wgEIEbpD/8P//WKSPrIZfAwshgpnylgGu672BpHqsS1G/beqKDwfRgI3Rx8 RFDiVm7HZOBZ5FIzCwaPis/k/yS0MSIYr1w1YpC7YQKh22XRkwda3ezKm1MnftksDYRR/+n3b2jS Oe05tbH0hMRZ546BcWGSf+crS0pCq9qRYAGEbsAITh0pyUiQzCYXxAnOPHL9nOrQD8NzDkTh9PGm PEEM8C+casv4gNxnnghb+D6zJmDIUjf70BUtEbqVbLwwMjATkJfKJygnpD2jjjYV/Fd4TP/2n+yK Tz0xlQgGDZYlt0TOBiNMPo4qLwaSsBfvEIQ/h8Yrb3Tj9cs9ecRWORnFocX6tqIzn/eTsz0BjnPF jQPmjJqWySlZdYd7JXGeOfShgcF75n7J81Gtpd/MBHPjuDIcxNJqOVo32dw2opzQomwWst3GjfUB 3oeqFrTfzov6cEbpZs9CVR0a5C/Jl3FIffG5GYW+FlBpxOHFlq6JEIcc5McfbstDIfVAYYBNSHjM GqHrgNwQGDL3BtpTEpQhGReuEY8wq83A1uDQyqkCVekS2DJjvtSvWE9he8PFBxLahE8cPnjQak8b ul/QRQmquq7osUfxnDag+X6TJnNDMoyZim1FHt4j5uTUtYehH43hV6+6OUgtNg5zmceVDe7D3ylF IaAYSfCEaza0xZaaw0Q9lDK8xo0xR+RqWbt41DyfYwdqcXC+HktLV2JtbUNhLHiseXLrO3UJm00T 9gNwI2xgISm5ODeJA3u8KTh9PvfxGZWIwW39y0/PbVcUWIj/62sr8flnp5MyCCowUwKQUr3btws2 R5/KuM14HrRp8BCx6Jx63ISJ0OyBIMZAozG6f1asdWI6o5Ep9T/76JQ2KJv/j59f00JifPETM5qA PLDonOpMDkYJtDsbgZBHSO5BRLXhUitEhLyXTU7uC2+KTQ5+6EdnunoPIS0odbBTPE3uBYPFiY8n AbcT90R4ltV3BWu4DIDTGCcWBAuAZP6f/c26sG+iou2P41svbsbTp9tOaEbIM2Fjcu30LCLIKuxS taQSPQv+zJsDHSI0KucihZqAl4aac+6Be8IYcdI+/TCHSSX+9Fur294gcyskNqR9CY7w2aendB8Y ULxovBvyWGDtCLtRhBYJHB4RDd3dpgwL1DIAagmvXjzb09z/xQvrumbmmWeFMXfbh5u+Vd29TqEH 45wod6XoYnpskON4Q5Ty8XQp3BCeYgCR6sphJwcHRQnlSZSfulWdevh4Kz7xEQoO5tUiKY9BY/1h pDCcPCfCfKICDh6e6dqGQbesR4wn98IBxFrBY2Uv4EkCDcneiwCboqpOeSJ0DPY2HAKB5N80RZJw TWKGcLhkKAIRisPX1SGwC9D43viWCfN7FX4p2Jlszxk0Lyvrhr9gnCZjK1jjFFxdMnzBjt8kesJ2 8X57pCzozKIiNeuhsW6Zw8o8Wz4AnZelWIUuoqMcXpfVnwWUTaQHeNGEuVzv2gYGz9df3rKIK21Z 4vMf9GP3dD2+9tKlGA97cXT3VvybL38kpqCiyAYLtLuQuYk6wu0yCf2q/EJV4MP/81erBp6NI776 16tysZ95pBN/+YMNuazQ47LJgDtk4Ceey9H9/jKwSXgLLKjl1510BSWPq02ViZYVudZdc48zSNDi kpMMzdUVDBmTAbqehYC3hAFgU3Na4sJ+4bkZudyEN0wgGzyT8YFehoIDUCGTjegri5EqIclpFi3C GSyMr313TSh7EtR/8f11TaqUijeYs/42Iyr5L2L53sAwiUxwR0hKhU6CpCuu0lhqndaQvkIoQu4/ +866PgsAn2hhkuII4g0cGOTPyNHh4pOw5jNY1Fw/yVRXXp1o3tkXSV4NA4ubz+fyu09/dFqbkcXz 2gULdX7np1aLEY/6Yk2FCMjuxPlFW0uSQuNZAIMA3c3zIBfG+mBRstFRrWYjcu9/9aOhjPWnPzol +AreCfNIrpJwleCFPBOhNUanWQesSmLeXsrBvS7+cBBIkCD1fOaEdxYfUUsVzBe9saW7Gm61YpMo 2S9h3KHm6Oi+UXz9e+u6H3pD8eK02YZea5T+8U5Zf6QdyDHyeSeP1ERR4zaUcfzmr87rsCJv64Zu BCfsbW1OMqbJ+CkCIBLNFFMIpbIGIh4N185ncsiTOGceWDtEeJn5gdwb9z3ToaJt5L3ny4BMXsO6 soI7vGVOwHPgkN7hd0Ab+B2fmdutHF05F5WNX9ZPEJ5su5/RtMmZndQK6Cba5N65V9PJOP5QtwNM vSjCw/KS1qSLB6QUrJSdVaHXN+2hkbO7uVaOam0mbpzB+JbiyJ6+SCknE5P4yWD1er1o163Kcmdi PvcpwSTJTbFppAi7adWRjd4ovvG9dZ1g5HhYyJzIk1TNy5+h5H6jHMcPWc5Jis8tqm6tbXQtp/4n H++YYmPkmJ4cEAhzFhenFg2a5FowhBmlQShEiIPB+9InZjWJv/e1ZXmLT51u6XvIfzA5ubIBErjT Nj6GeB9DSb8aOaSPnjJVL6cr5HOvvgFfj2lWqCABZcDbonrIhsMbIRmb1XQIcXgoZpecxAEwUYlt kk3FguOz8GQAOVoIlmS/cVV4W3yePKzxRFLyzHemJwakC+c7LSUYM+Yb7wBvI+vmsYipjmGMYH0l TMLr44DI8lhiHRiGvCFCPQlCCCTpii3vJUTGE2IuTNjGQjWyHyPAvBJS02LV7RufZnVqQlX3MeIN v/Im7KG9bbwRNNjMI9i73/jsnK6P+1YuRuKtaE0S/jnBzh829ny6dqO7ndxlnWEIsnAEn4Dh4eAT n/rArT3AbAhJKRwBhWHetRZSLyneKDlXQnUOZeaUdUk6gao4a3uqOYyPnIBgEgUf8oul+MNvrsnA z0oglsptOR450VLjP2uX/cNcX7w6UFolh4QYNzigMiwg0yJx7xKMgO2JfGYSAGm3HOqJ7SFRvmQQ qnBoSH4NDG9gvdFGBjPLTAeAdE0tVeSyen3TSINj+/ZLqTI+sVeUvXO8cWkU0qCc+l0J7VQBrBjB 73Yad3yICSIVVZhrqKeyFoNxneMd7TwOE/nDd7DGGxBTpnvlYHFVuxLT07PR6w1iMmUDmyiSnXhj QeJp3TnE5T1nJlIWNs3GGA+8lP/8+zflxv7GL804Z5T4tO42slIuYSVuIO444dzxA9YpzMyUyVvV yUbegNMVV5wHjaEAq8QGYvMzG+RPmCwKA+Q/MEp4CWBt8GQevK+ixLV4nISqnYgllbCCk9SNwmP1 QRLCMrgOgHgsYKh+SdqyQMmRfeelTeUqqJqxYHRCTSwwwUPHbWbzCKiZTn7mmJxQlkpnUNXD8PLw SfSyYVTOLxnFjjF46nQn3oSB4CItNW6WzRuJ6hOff2Q//OsNXTP/J/fG/OLRKTRM8mnMH5sPDnUS 3NybwvLExYVhw0tF1BUDgedKePu5j81ovvG0zHrgOdKJmdDQ/M1nZLZICg0zrYrYVZlvDo9j+/s6 lH7w6mZcXxrFs492FP5DPwNeDuOE1/DUaZD4ZlQQTa7K6z7wCHspFFBYyYBL5pTXszkwxoQpHCz0 GrJJFqVS5KIP1VQKHswBqH28KDx2hd6XrXnpPKppmtVZIHm6SpQrlei069FpUyAAbMsGx8s1wyz7 4cufmkneY8hgsbYw4CDBybeaksgGIHNaZZodC1IAt/HB6sKFWRYw/v2UT2WO2JP8Du+Fz2dwICO0 QcoXb4U1oiZ1DtLUZI3G32hcVifL3BQK7FTzqAIaMiIjSOuQcmnuQVT70Uh9fK580zOZvEKh1unj FZWOQ1JeYxUpc9hjiESnk6qLShtNOIT4LnuDkvpK7U0YPZ41Tfx/8PxWXLxyJn7rnz0Yu+bbmXGU h253++340S2rbTklJhlXH+oPHgQd6Xg3wpTEO48sMoDBE6UwLjAu5+ZY7qNQwz44tVhJVgN94Lsx ClQVycMANVBbQykkivrdn2wZ2Capr1CPH1U5ck247YRbJPcsVV5WGIJhYNOzMEm0EiaRz8nYJbyN fburcW3JgqAYLOWFlocyvCgz85DYRCw4ThS+x718mcxvqFM2V83wMlQ5RdiiAbrcdB3kGgAqYuj4 ruyF/sE3VlypWXUuClAgyWU2LUaEazy0u7bNGWV0MeyXI3md5C24plwQYGOhISmcT6kUPzm7JWPB wn4hUT9PJhte+JXQhmMOMhdYOZXSMa4YM3BhGAMxoN5Arp4qmhdctWbaH4fzozi6vxZfeHbaXGML Od/nvlPx/idOf05uij/SCVARo66wl40gI7aVBGXBoyUBVIm4bpf5J+LpB9iMd5h7AmGE4FmRr+MQ PJsKMeTVUPn51C9MC2fH/Xz3pwPlqQh7Ccs5UPm/K+U2GHhdD93XSrAO3w8RAtVTjCLf+cknbPy/ /3JXz4BrZv3lQhe/w9BY78/tPpZ+cKJeLKNDJ8freFUCiY62K5v0/6rpPHUAACVg/WF03rzqEJH9 hcd7YxWRCrdVUSwDFrJ7riwH4lrYYxUFMiHpyOkgPrc68GfjmGC4M1RCIqkKa824YohRqoJWjKcD vZ5hDpQUhvC9J0PraqJzzbl/kj0CVgy7sLQyjkqQRoCx1HMmg1WvN2I0cVyLWvLOkWlJWERM7jIN n0nJl00xGPW1eDnxHjnuqsrbjQyeNHDSAD/CHBYli5jNlUfuZyMhLr6ohHjP0lkYOxYWC5AcDQ/k pbMkukOWOfM/NVBZDpfLOcHJVRE64b3xoEHbc6pyquFdEFKR1CUE+5uXNmUE2cTkvfDIfv3ZGcXy Vpd2+KTWGAHmnI+QPqHAopz05FtaOhlZwBhGGAFoKeI93AeGmPCLEKZeQwmlpooVCHvJeVVC3iO9 fLjQP7lsaAD3oraZxJ+tg6VZjgM1kOqulkn95nBTpyRGlTYm5pPEPcYFjw3jIq+AMnMp5B2R77tw zR6jmAnEYOlQN4vIUgSg54+qJ5viVK8RT512gpn5RYEFWiAWMIOfMfDCqNbyuW5IrskDo5+SQwOj 3myW4rHFlu6NqqvEJRJYFmNFHozrx6AwxJyBTuPA/PhUMPGCSXpz6BE9uBWnts3UyXtUku8xL1sK GcXx1jbIlJ5H/s08nr9kGTBycXhk7AHah04fm46nTk/Fuct0fpRjRt7XOE4dJtc7VvHo9FGnEjZ7 Lvh0t8n8vLn5LDY714WRAFiddQvNj25Sy5JSBEmdORH/sffsmTj8NS6Kw9PPiDXOnmYulteNPWNd MvDEN7ZgR7AHNNOOuA5Gy2SgFujgWSusRqfH0QFri1CedIhgFT08a6qZt7pTjL3MgrCp/Soh6+fU /0pY4u8FAyp4jxwee5msM7Qc7tszikfun4lms7qjl3AAN/gkehfhgKprAWUpKhKeVNT4MnIwlLD5 cnA7GCgMF8aKuPOdDBUlVU4gv/cWW+drl6zQY4vthD/fz4YhJDp9rKGFnHmumEDyBbye9iGEC2AE /fSTUymZPdCCx6CwCfkOcjwYRipbhAB8FJ4Gng5FAE4N7oGN/Mblvk4Gwgw+nwQjpzE0OuKTqpVk JK2km3Tlkqe3c+T8XaNuni1+PT9OzcpJ7pv7Fi1sk45+692x2Ujecu1ADNiYeIucyplLXhTI0Efv dm4jGyv1dSX0NfNHCEqCVyyUClXN5Epoj/HFiyH8I3RmiPZ2faTCAp+PB8X1CBKQ2AsMHDQWLEMR gJ6Aynd529gaDNyPXusqzOJaOPgoiPz3ryzJGACoxFizvnhGqhhujWRQKOTsfqMn0CgGiefC9+OF YiDNppG4mxolHSwo1pBnxUBKEu6cDQzzzHwYsY22Zv3eVIAAABOcSURBVF9N6oTQbD6S6swrTe7k E7PMGV40hoH5+PoLVHGrMlYAa7nvn57b0txkyMRPzw9EmbTeRai1rz5KKFru20fnQlOeNnPPvOTK KIYpV0Hp/csJeDBtrAdt9kSDvU4I1bMvY3Q8+8qVOwo19YYdDuZITkiS28qc97mfVq1aSWVZ+KdE zUzDtLzljump282a8qQYN/Y+XrqJJU3c194kyhpHKTFGSLFalcFbjCF6dkQQScE6FwXI2+F1m45Z 7omT/EQHeHIIwcyO4uDMcnzplxbj9P3zYoTYNlicBLtmyjFWK8QwXnjZogCELEwGwEGFAyk5fnXJ uYqrN51QvHi1F+fnqCY5h3BnWIjVJTwBUMnmO37ArTHWPQR0N5RHM93iYXBTMEuOZNH5GV3niDhm ju6FaSaACa7Gd366GY+frMfJw1l41Qq+LApOPZXGR5wcQzUGc6KtbrS3mT4JKeanS/HcYy0ZQ8XT ia6WBcA8oGr96Im6wqRzF7txfD/yXkmIIvdDxd9vUB3hxOQPi6HdNGKfxZfnCqpeNiRNuerP7I3U 2sTP8RLA4CCndPE6slaeR1UErwB/GAp6gBfA5idHgeEFfmAxSpgmbDS573OXHTKhG3fySEsb/th+ S8IDQAQjtmfWdDs0E0vkomRWDks1DeJHr45iPGooNOAZg+MjAIC94NAeBGI7ejbd3jDOX+Z7KPCA kCdcBGw4Ercaz6zXS6DHwSiu3bTA62P3G1pCWoBwDPI9qtK13eamunzdAFmoaoA/gPw+dgCAKB4U uDwS02D0hgr/njiFyo7JKVfXK9Lb5DmePGyPknYejA3ak6hzcxAQOkMueW0JqWXL37EeaRujIobX x8ampQfPBUMEHu4Lz7kbYrpdU5cFxRA8dOYTeT2a1tm4PmzGKvmzJ/DscnFhWDU9zSAlsE0lXY5u HVLImvYPRSQZwNEtBLpwVRB0lt2wnZvfs4KSclpqh6OKbqgEhHkiKWSdpHYn0ftIsdwsKuNJRcaL kNaJeRskE35WE6jXxl+taQnUysggUPaVPLiUwlmnVYsDWXCccXQao/jYAxEffWg+5mbat+OwxuNR DHrrUa5sRW1SjqlaJSaDUYwhqqIrnubJWUIYXGxjiRZa1ShXajHob8WJvd3YO92NGLRifbUcW1tb 7nWCjKvdikF/GNXxprK/V682Y2aqHrs6k+hUxlGZlGK2WYk2LQCTjRj3R7GxUolx31CIldXNaJeG ce58NY4cmFZFE49Q0P9aLaYbk1ic6sXG6lr0yJ20WlGLcdTGvRiMhlEpVaLaqkdl3I9T+9fd7jLu xeZGPUa9Qcw3hzHXaMS+eVpEqrHV7Wohce3N2aaavZ84th7H98HiCOyhGesr12JrzSdZs9nQa7ku GVnc2UbDyroDGwk4xwDAUWG5caMbW+vMQyfq9XpsbUE349YGPoty8VR1Oc6dX4uZTjXmO7U4f2kz 6hMLB5RLVfEaTdX6sbE2iUuXytFdd55jeaMc5DDLw1Gs3CxFHyK0UjVqk0Fsrm0o5H5g3zAeOVaJ amkQu9vGQZ3a34rdU6M4sWcl6uOB5me6MRXHF/sx6m7GsLsWk3Eldi+2Y6FDBbIftfE4muVKDBrQ 1w7i4kW8z0oMx5VYXmrG6vpWtEr9eOr+UTwE08TmIE7tW9EmODTfiT27WtEqMT/kU/qx2TPMYjgE s7UZ5dE4SvtKsdDqRW9jDWrc2DVdj+lOI9682o1G9GL3NMyo5Ti6hzBxGKPhKB4+RIsZDfTjuHjV mCiij7mZZuyd7kVpMopWqRuDcSW2NppRnWzFrib9cSC52/byYzNmqj2lSQ4vAt4dx3RlTY3h+2eb sbZViRN7+6perdyMaFda8exjcxHjtZhvDKNbH8TBfTNx3+5RLDSXRYp58QrN24ZfkPRmk6r3LoV+ 9sKdN8psKTwvjG7mDtvcsvGwLL0biSkmXZyYRGDPrKmMBG3YoWHJ3w47XaUThffQ1DYYRvVylk0k cPaiCwQcOFktOuPCqNxhNMknEm31lw2QZe9ykGXwdFZpzq1GCi91ojsSwZB6B/v33D9zYS76RBF0 cxTVWis6bStl5ZFyWK4OAiBlc+GHCgsyMuE/Jycuoly3kVsnSJbRTd3rt+PYIeOCymXnQYbD1i0O oBpWeRT793YsPSTuHjwrJtCNyrNzXBAMBeMdmDBfOO+fnXWc22zW/Hlu+VbV5gGQ+CVoSlPZM7mO rWZj22jyWZyYR/ZPKcnOpDAJGJByWCSi2bDeId+R+7f4rvZ4HJ94wiEyn8XnGxfiNgQKFryPOeTa 8zWYy8gPzwIDLhocqDRiz8Ik2m16wXjIBjuqt63qa3jkgXktJkLTmTKL0EKTLFo+Z3qmHLvnnXjF 68JLYW3NqLmVReHvld5kpRKH642Yn3UYe99BQri6vCfosK0yXIsHj/NZ4zi8H1ZTqGtrMdXhfW1X OYOFTqM7+cxWzIp8jY1HkpwcYw67mEsS7rXodMbxwISQsi7v4cuf4XvNDtJuQUbYUs5C+b5wFZfn xLVT1BmNzF7AQSkurAYAzUoszAEmpqJajs1+xCNj8pr0EoJz8zXxfDc2p7WuLPyAF+TrFCq7TGK6 Ev0+FEkOy9otV28fvA8pMLQJwcyRi5rEcx+ZdbjWoKGXxm88Hve4tlpg0RoxGvFnEvcfpcUK0DAQ AERuoTJaj5MHaWepxKXrns/cB8t+JPwUh1aiucY4gEFj7rPQxCt0TSQJLTxt3kvoSujHQUzUop5b 6VMa9mDYh4GzprLOkvLuJsmMoA4RDVcgVL5ygwM4Y6Z8nYTvyj7oOaX2ISHtE8h0BPIf79aEAHib mYc/580yS6nYWJJBdPO9c6koD0kvke6ClnPDO4d2N5uGDTc1NXVXWMM7jU6nFQvz8TMxplm/O0bO Lf1dY6rTec+uYWrq9v/jEd45dv4MA+avn9z2s5lpL5bbR76bHT9P71+Yyz+7XT06G+fZt5kXfU/6 4V16Ud92tN9yT8y/5/Hv8zl305vM7+OabntdCoG25yO/8N2KVt5t/u76s3f3vpnxOB6fcBDelKvR QSxkphkbW6W4TNIcpHuP5Lgr9XhUFDII9QlPcyvNBMmtxFbKgHIcphU2OHlQ8mO8MDdHYwhVMOMA oO9vDIzmluKP9AYTW6uVpEfblXC8JSAHGbfI31R86ZIgHcABjjeYaXBIXVitynz6VmR3t4FasyAh TBAgjJ4OJ7FSJAEM6TAaQkGEs6fTjT1zM7f1Ed6WdPdzvjUZPw/jXr3TO59BBkj+Xa/b8Zu7fejb fNff/e63+fp3Pd7N0vr7vnbn694yH//gtXy395X+we/DCTi4OB1bW73YPdeN3TOEm8O4vOxG982e cVDAG4ARZHkuiiKigl4lp+wKO683LZKZgdX8zc+aqaVmYKBy9sSMYreKD7mh7F2pSkfRSH2L7u8j J0WBplSyQtR4hNo273ERilytGp7HZv7g/+TYzPPlqiBGjKINHpgbtA1Byc8C40kPZSb347ute2j1 L6756J5JPPNwI44e3B3lO0g8ZbDoF8ohWDGKUYz3fhDuHzu8EPv3DuLQIhVp8HlbsXuqH1eXCYGr YvUtlc0+m1WQzNdPryiURs4Z0aMLdpBQFhYJEebB5w/kp2evKCtCY4gwDhgtAJu5x9bEj2C1LOVG XywAYgo63T5pF6AqhJkWvOgNSmIjBlpC6xXXJz3KVCDAkyMVoKr6VZr8kXoDyOww1akRe1sO85xS yYynGWzONQHfefJ0PRYWZt+G0z3pjBWjGMV4/0ajUdefmel2HBgO4+DiZly/uRnXlvvR65djUqIT YVO9gHvnO1ZUGhqnpYxh2Rvc+EGzgtAe164P4pGjtTi6iAeDdzaMudY4DuwF6whbA0Uh+NHAUZko 78rNntlGByNVIFfXB7FvNuLEIqwpk9gz24sH9pEMr8WkRIUT2bZxXFt1LytN++Ql1YSfwN9SIwdz NTbFTGYNtgaBK++ZfZXqoymSLGRSIceGJuXmMJrVSexdmL+rTdpOuudkdTGKUYz3d6hIU6vF7oUZ UaccG5qKfGm1F+VYjVq5F1O1iKlGIw7uKsW5OZqe8YwSIQDqTdNV9QZeXx7EY0c34gvPzapljtdQ AbyxBqIejQS49Kn4uXAGZu7GMtoC4wBHTlHm+lI/NjbLcWiR3k6oXED/0/iOsSMXBUi0Et9+8Wb8 5Y+hm4FE032jwJGsgeDCSCb3w9NS0j/xYrkp28LAGFwGeEs8LnCObhCP2DvbjWOLpZifm357g3Xv ZnOKUYx/vCNXlPnTbEZMT8HT1RQXFGkacl8b6ITWwG5V49ISFWq3RWHgoOD+tafr8dHjvXjiobmY Rp9MvOmjOEE1dDyOXjfDZsrRajX1XbvnO/HA0YkquXzH5haVRsgIqtFpg1FLGLGKK9u8/+BiJ2Zb XYklnrs8iSoYrSEMvaaarpSTRFqrpL5bSYWR/EfTNDVpU7ksZU8rKY2DSSMvxvfsmR3HJx9pxDOP z0a7ffeuGRmsfr+Hn/XBPq1iFKMYtw1pC7bQAjUGEUPRWt9Q8rtZG8fW0BJ5f/1iNxr1Ycy2avHA aRr952Kq09rOQ+/MR3fa7bewdoIT3Dma4BbiTgNx6zPy5x09tCc+3+wL30b1cmmZrpC6YDpcH1g6 qox8E1guwLVUH3OPK6GfSP0SfQ0A09o+qyLtnR3Hkd3D+Nxzi3Fw39zbohW2ke5vLZEXoxjF+DBG Ni54Q7OzM1Fv1GN6asVqPa1B1BJ+8cCuURw/2Im52Zl3TOm8V/np+fm5mJkdx/FDvXjg8FLUq+gI uAtiz7RpbWanq/GTc7R5wWPvnBbtOZAECoXfdJJd9NGiV4bIcBCffGgQTz/UjH17pt8RWpXYGqxX VoxiFONe9Lpa0ajXo9vFs0I/sS1Q83SHJL47LT6oayGJX2234+jhZvzz+TlV93B2Nja6sblFn+44 9s0P477FUhze14iL18fxvZf7MRjRZhRxfcUN0LlyiEGbaqIbUY0HT+zVfb3T2E66F7CGYhTj3h3s z06nE+02yPwPP+eMkZwFDJbG9FRHBogWtRurV2LvbD/2zE/iyN5ynDhQExbrh6+N40++NYqNHiwn kxhu0c5Vjt0ziA7TXziKdvudIVYyWLmXrRjFKMa9PUr38D7l2vD4Tt+/uF0JPQZvfL8fa6trMR4t x/WlcVxarsX6JpVFM6KcH0b8wV9uxeZWPz722J44tH9WEvVvWyXs0eRcjGIUoxjvUeFg58gh7QM9 2nlWRNkM5OHlN4bx374yiMvL1XjxjXZsSBfgYnzqyW6cPj4fc4iplu5isO5ho12MYhTjH8GoVCpx aN9s7J5vqeq5id7YZBCfe7oef/6DisQyLlyHsx5B2qvxrz+7Fr/87Cnxyd016V7ksIpRjGK8n6Ne r+mP/21xk789D2edqZjXuxFXlpFf68Q3f7gWJ48vx32HFm6jbZfB+iArDcUoRjGKweg0xvH4iWEc WGzE115A9QcVdTNHnLvWju/84Gzs3zMVLVgZdxosCPeoFBajGMUoxgcxMEKPnT4Q+/csxYuvrsT5 SxFvXC/H/QfrcexgXUK7cz9ciY8/sRaHDhiRf1uVEPBoMYpRjGJ8kBXFgwcWo96YilcvnI9XL4zi 4G6k+krxi4+14tXzU/H8C1fjy3vmEm3zdi9hMYpRjGJ8OIZreqoRTz3UiU79Spw4FHH0YDPOvrEe v31mJdZWK7G5uRnlkvsgZbAAoxVJ92IUoxgfxoD6+omHDsTJo3PRbCESbD/q5KHr8dqFrbhxcyWW bl5TFJiUn4s+wmIUoxgfzrAmAnoNtyiRDx/cF//+381IwGZhzqo5ly5dtsHqdnvRaBRGqxjFKMaH N3Yi20my75qj3cccW+TZUZXa9rAKL6sYxSjGvTSsMeF/X7x4ScpHBUVyMYpRjHt+9Hrd6HQWbLC2 9QiLUYxiFOMeHNgn0dvwH0Qp7+Uu8GIUoxg/32N+fl58YNu6hEVrTjGKUYx7dUxPTwtoWiTdi1GM YvxMhISkrmSwoCUtcljFKEYx7uWxncMqDFYxilGMn4WxncMqRjGKUYyfEYM1LJLuxShGMe75sYMi uYA1FKMYxbi3x7bMV1WSrMUoRjGKce+O1JpTLkLCYhSjGD8bBqvfL2S+ilGMYtz7owop1nA4imq1 oEguRjGK8TNgsCyjUxKjnykdigR8MYpRjHtvVOFJzjJf2WDlvsLCcBWjGMW4B2ENNlK5PQd2v52G a+cojFgxilGMD2skXcJuNBr1bSMF+6hzW8PbXpx/n41WYbyKUYxifEjA0VsDQ4S3dWdDNEaMPxi0 DIUojFYxilGMexKHtfN12QMjB5ZHYbyKUYxivJ9D1qbVar1r4Gj2rnLYmL2y/O9iFKMYxXhfDFav 1xPFzLsdGKb8PjyuzPqA11UwmBajGMV4r8d7RpHM++lJZOB18SdXHguPqxjFKMZ7MW4loN7DkfNa Oc+Vk/SF8SpGMYrxHrE1vPe2a2eSHmxXzndhuIqQsRjFKMa7HR8YRXKGSeBtYbwyOLXwuopRjGK8 S+DolrysTqcT7/fYWU3EeN0NnFoYsWIUoxhva7AyGPSDGjuR8ncm5LMHtvN6drYNFaMYxfj5He9L 0v3djDsN1tsZsQyZKIxXMYrx8zs+dIN1t3E3g5U9rg/SEyxGMYoR99T4/0Zyutja/tGTAAAAAElF TkSuQmCC