20250930 10352700 1.0 TRUE ExportFeatures HPMS_FULL_DE_2024 D:\Work\Spatial\2024FullSpatialJoins.gdb\HPMS_FULL_DE_2024 # NOT_USE_ALIAS "DataYear "DataYear" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,DataYear,-1,-1;StateId "StateId" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,StateId,-1,-1;RouteId "RouteId" true true false 120 Text 0 0,First,#,HPMS_FULL_DE_2024,RouteId,0,119;BeginPoint "BeginPoint" true true false 8 Double 4 9,First,#,HPMS_FULL_DE_2024,BeginPoint,-1,-1;EndPoint "EndPoint" true true false 8 Double 4 9,First,#,HPMS_FULL_DE_2024,EndPoint,-1,-1;FSystem_VN "FSystem_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,FSystem_VN,-1,-1;RouteNumber "RouteNumber" true true false 4 Long 0 10,First,#,HPMS_FULL_DE_2024,RouteNumber,-1,-1;RouteName "RouteName" true true false 60 Text 0 0,First,#,HPMS_FULL_DE_2024,RouteName,0,59;RouteQualifier "RouteQualifier" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,RouteQualifier,-1,-1;RouteSigning "RouteSigning" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,RouteSigning,-1,-1;NHS_VN "NHS_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,NHS_VN,-1,-1;StrahnetType_VN "StrahnetType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,StrahnetType_VN,-1,-1;NN_VN "NN_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,NN_VN,-1,-1;NHFN_VN "NHFN_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,NHFN_VN,-1,-1;UrbanId_VN "UrbanId_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_DE_2024,UrbanId_VN,-1,-1;FacilityType_VN "FacilityType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,FacilityType_VN,-1,-1;StructureType_VN "StructureType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,StructureType_VN,-1,-1;Ownership_VN "Ownership_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,Ownership_VN,-1,-1;CountyId_VN "CountyId_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,CountyId_VN,-1,-1;MaintenanceOperations_VN "MaintenanceOperations_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,MaintenanceOperations_VN,-1,-1;IsRestricted_VN "IsRestricted_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,IsRestricted_VN,-1,-1;ThroughLanes_VN "ThroughLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,ThroughLanes_VN,-1,-1;ManagedLanesType_VN "ManagedLanesType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,ManagedLanesType_VN,-1,-1;ManagedLanes_VN "ManagedLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,ManagedLanes_VN,-1,-1;PeakLanes_VN "PeakLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,PeakLanes_VN,-1,-1;CounterPeakLanes_VN "CounterPeakLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,CounterPeakLanes_VN,-1,-1;TollId_VN "TollId_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,TollId_VN,-1,-1;LaneWidth_VN "LaneWidth_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,LaneWidth_VN,-1,-1;MedianType_VN "MedianType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,MedianType_VN,-1,-1;MedianWidth_VN "MedianWidth_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,MedianWidth_VN,-1,-1;ShoulderType_VN "ShoulderType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,ShoulderType_VN,-1,-1;ShoulderWidthR_VN "ShoulderWidthR_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,ShoulderWidthR_VN,-1,-1;ShoulderWidthL_VN "ShoulderWidthL_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,ShoulderWidthL_VN,-1,-1;PeakParking_VN "PeakParking_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,PeakParking_VN,-1,-1;DirThroughLanes_VN "DirThroughLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,DirThroughLanes_VN,-1,-1;TurnLanesR_VN "TurnLanesR_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,TurnLanesR_VN,-1,-1;TurnLanesL_VN "TurnLanesL_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,TurnLanesL_VN,-1,-1;SignalType_VN "SignalType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,SignalType_VN,-1,-1;PctGreenTime_VN "PctGreenTime_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,PctGreenTime_VN,-1,-1;NumberSignals_VN "NumberSignals_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,NumberSignals_VN,-1,-1;StopSigns_VN "StopSigns_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,StopSigns_VN,-1,-1;AtGradeOther_VN "AtGradeOther_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,AtGradeOther_VN,-1,-1;AADT_VN "AADT_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_DE_2024,AADT_VN,-1,-1;AADT_VT "AADT_VT" true true false 1 Text 0 0,First,#,HPMS_FULL_DE_2024,AADT_VT,0,0;AADT_VD "AADT_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_DE_2024,AADT_VD,-1,-1;AADTSingleUnit_VN "AADTSingleUnit_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_DE_2024,AADTSingleUnit_VN,-1,-1;AADTSingleUnit_VT "AADTSingleUnit_VT" true true false 1 Text 0 0,First,#,HPMS_FULL_DE_2024,AADTSingleUnit_VT,0,0;AADTSingleUnit_VD "AADTSingleUnit_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_DE_2024,AADTSingleUnit_VD,-1,-1;AADTCombination_VN "AADTCombination_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_DE_2024,AADTCombination_VN,-1,-1;AADTCombination_VT "AADTCombination_VT" true true false 1 Text 0 0,First,#,HPMS_FULL_DE_2024,AADTCombination_VT,0,0;AADTCombination_VD "AADTCombination_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_DE_2024,AADTCombination_VD,-1,-1;PCTDHSingle_VN "PCTDHSingle_VN" true true false 4 Float 2 6,First,#,HPMS_FULL_DE_2024,PCTDHSingle_VN,-1,-1;PCTDHCombination_VN "PCTDHCombination_VN" true true false 4 Float 2 6,First,#,HPMS_FULL_DE_2024,PCTDHCombination_VN,-1,-1;KFactor_VN "KFactor_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,KFactor_VN,-1,-1;DirFactor_VN "DirFactor_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,DirFactor_VN,-1,-1;FutureAADT_VN "FutureAADT_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_DE_2024,FutureAADT_VN,-1,-1;FutureAADT_VD "FutureAADT_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_DE_2024,FutureAADT_VD,-1,-1;AccessControl_VN "AccessControl_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,AccessControl_VN,-1,-1;SpeedLimit_VN "SpeedLimit_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,SpeedLimit_VN,-1,-1;IRI_VN "IRI_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_DE_2024,IRI_VN,-1,-1;IRI_VT "IRI_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_DE_2024,IRI_VT,0,49;IRI_VD "IRI_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_DE_2024,IRI_VD,-1,-1;PSR_VN "PSR_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_DE_2024,PSR_VN,-1,-1;PSR_VT "PSR_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_DE_2024,PSR_VT,0,49;PSR_VD "PSR_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_DE_2024,PSR_VD,-1,-1;SurfaceType_VN "SurfaceType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,SurfaceType_VN,-1,-1;Rutting_VN "Rutting_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_DE_2024,Rutting_VN,-1,-1;Rutting_VT "Rutting_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_DE_2024,Rutting_VT,0,49;Rutting_VD "Rutting_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_DE_2024,Rutting_VD,-1,-1;Faulting_VN "Faulting_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_DE_2024,Faulting_VN,-1,-1;Faulting_VT "Faulting_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_DE_2024,Faulting_VT,0,49;Faulting_VD "Faulting_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_DE_2024,Faulting_VD,-1,-1;CrackingPercent_VN "CrackingPercent_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_DE_2024,CrackingPercent_VN,-1,-1;CrackingPercent_VT "CrackingPercent_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_DE_2024,CrackingPercent_VT,0,49;CrackingPercent_VD "CrackingPercent_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_DE_2024,CrackingPercent_VD,-1,-1;YearLastImprovement_VD "YearLastImprovement_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_DE_2024,YearLastImprovement_VD,-1,-1;YearLastConstruction_VD "YearLastConstruction_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_DE_2024,YearLastConstruction_VD,-1,-1;LastOverlayThickness_VN "LastOverlayThickness_VN" true true false 4 Float 1 3,First,#,HPMS_FULL_DE_2024,LastOverlayThickness_VN,-1,-1;ThicknessRigid_VN "ThicknessRigid_VN" true true false 4 Float 1 3,First,#,HPMS_FULL_DE_2024,ThicknessRigid_VN,-1,-1;ThicknessFlexible_VN "ThicknessFlexible_VN" true true false 4 Float 1 3,First,#,HPMS_FULL_DE_2024,ThicknessFlexible_VN,-1,-1;BaseType_VN "BaseType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,BaseType_VN,-1,-1;BaseThickness_VN "BaseThickness_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,BaseThickness_VN,-1,-1;SoilType_VN "SoilType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,SoilType_VN,-1,-1;WideningPotential_VN "WideningPotential_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,WideningPotential_VN,-1,-1;WideningPotential_VT "WideningPotential_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_DE_2024,WideningPotential_VT,0,49;CurvesA_VN "CurvesA_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_DE_2024,CurvesA_VN,-1,-1;CurvesB_VN "CurvesB_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_DE_2024,CurvesB_VN,-1,-1;CurvesC_VN "CurvesC_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_DE_2024,CurvesC_VN,-1,-1;CurvesD_VN "CurvesD_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_DE_2024,CurvesD_VN,-1,-1;CurvesE_VN "CurvesE_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_DE_2024,CurvesE_VN,-1,-1;CurvesF_VN "CurvesF_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_DE_2024,CurvesF_VN,-1,-1;TerrainType_VN "TerrainType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,TerrainType_VN,-1,-1;GradesA_VN "GradesA_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_DE_2024,GradesA_VN,-1,-1;GradesB_VN "GradesB_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_DE_2024,GradesB_VN,-1,-1;GradesC_VN "GradesC_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_DE_2024,GradesC_VN,-1,-1;GradesD_VN "GradesD_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_DE_2024,GradesD_VN,-1,-1;GradesE_VN "GradesE_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_DE_2024,GradesE_VN,-1,-1;GradesF_VN "GradesF_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_DE_2024,GradesF_VN,-1,-1;PctPassSight_VN "PctPassSight_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_DE_2024,PctPassSight_VN,-1,-1;TravelTimeCode_VT "TravelTimeCode_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_DE_2024,TravelTimeCode_VT,0,49;SampleId "SampleId" true true false 12 Text 0 0,First,#,HPMS_FULL_DE_2024,SampleId,0,11;ExpansionFactor "ExpansionFactor" true true false 8 Double 3 10,First,#,HPMS_FULL_DE_2024,ExpansionFactor,-1,-1;SectionLength "SectionLength" true true false 8 Double 4 10,First,#,HPMS_FULL_DE_2024,SectionLength,-1,-1" # AlterField HPMS_FULL_DE_2024 DataYear DATA_YEAR DATA_YEAR # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 StateId STATE_ID STATE_ID # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 RouteId ROUTE_ID ROUTE_ID # 120 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 BeginPoint BEGIN_POINT BEGIN_POINT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 EndPoint END_POINT END_POINT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 FSystem_VN F_SYSTEM F_SYSTEM # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 RouteNumber ROUTENUMBER ROUTENUMBER # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 RouteName ROUTENAME ROUTENAME # 60 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 RouteQualifier ROUTEQUALIFIER ROUTEQUALIFIER # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 RouteSigning ROUTESIGNING ROUTESIGNING # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 NHS_VN NHS NHS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 StrahnetType_VN STRAHNET_TYPE STRAHNET_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 NN_VN NN NN # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 NHFN_VN NHFN NHFN # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 UrbanId_VN URBAN_ID URBAN_ID # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 FacilityType_VN FACILITY_TYPE FACILITY_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 StructureType_VN STRUCTURE_TYPE STRUCTURE_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 Ownership_VN OWNERSHIP OWNERSHIP # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 CountyId_VN COUNTY_ID COUNTY_ID # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 MaintenanceOperations_VN MAINTENANCE_OPERATIONS MAINTENANCE_OPERATIONS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 IsRestricted_VN IS_RESTRICTED IS_RESTRICTED # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 ThroughLanes_VN THROUGH_LANES THROUGH_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 ManagedLanesType_VN MANAGED_LANES_TYPE MANAGED_LANES_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 ManagedLanes_VN MANAGED_LANES MANAGED_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 PeakLanes_VN PEAK_LANES PEAK_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 CounterPeakLanes_VN COUNTER_PEAK_LANES COUNTER_PEAK_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 TollId_VN TOLL_ID TOLL_ID # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 LaneWidth_VN LANE_WIDTH LANE_WIDTH # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 MedianType_VN MEDIAN_TYPE MEDIAN_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 MedianWidth_VN MEDIAN_WIDTH MEDIAN_WIDTH # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 ShoulderType_VN SHOULDER_TYPE SHOULDER_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 ShoulderWidthR_VN SHOULDER_WIDTH_R SHOULDER_WIDTH_R # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 ShoulderWidthL_VN SHOULDER_WIDTH_L SHOULDER_WIDTH_L # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 PeakParking_VN PEAK_PARKING PEAK_PARKING # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 DirThroughLanes_VN DIR_THROUGH_LANES DIR_THROUGH_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 TurnLanesR_VN TURN_LANES_R TURN_LANES_R # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 TurnLanesL_VN TURN_LANES_L TURN_LANES_L # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 SignalType_VN SIGNAL_TYPE SIGNAL_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 PctGreenTime_VN PCT_GREEN_TIME PCT_GREEN_TIME # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 NumberSignals_VN NUMBER_SIGNALS NUMBER_SIGNALS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 StopSigns_VN STOP_SIGNS STOP_SIGNS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 AtGradeOther_VN AT_GRADE_OTHER AT_GRADE_OTHER # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 AADT_VN AADT AADT # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 AADTSingleUnit_VN AADT_SINGLE_UNIT AADT_SINGLE_UNIT # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 AADTSingleUnit_VT AADT_SINGLE_UNIT_VT AADT_SINGLE_UNIT_VT # 1 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 AADTSingleUnit_VD AADT_SINGLE_UNIT_VD AADT_SINGLE_UNIT_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 AADTCombination_VN AADT_COMBINATION AADT_COMBINATION # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 AADTCombination_VT AADT_COMBINATION_VT AADT_COMBINATION_VT # 1 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 AADTCombination_VD AADT_COMBINATION_VD AADT_COMBINATION_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 PCTDHSingle_VN PCT_DH_SINGLE PCT_DH_SINGLE # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 PCTDHCombination_VN PCT_DH_COMBINATION PCT_DH_COMBINATION # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 KFactor_VN K_FACTOR K_FACTOR # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 DirFactor_VN DIR_FACTOR DIR_FACTOR # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 FutureAADT_VN FUTURE_AADT FUTURE_AADT # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 FutureAADT_VD FUTURE_AADT_VD FUTURE_AADT_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 AccessControl_VN ACCESS_CONTROL ACCESS_CONTROL # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 SpeedLimit_VN SPEED_LIMIT SPEED_LIMIT # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 IRI_VN IRI IRI # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 PSR_VN PSR PSR # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 SurfaceType_VN SURFACE_TYPE SURFACE_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 Rutting_VN RUTTING RUTTING # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 Rutting_VT RUTTING_VT RUTTING_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 Rutting_VD RUTTING_VD RUTTING_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 Faulting_VN FAULTING FAULTING # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 Faulting_VT FAULTING_VT FAULTING_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 Faulting_VD FAULTING_VD FAULTING_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 CrackingPercent_VN CRACKING_PERCENT CRACKING_PERCENT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 CrackingPercent_VT CRACKING_PERCENT_VT CRACKING_PERCENT_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 CrackingPercent_VD CRACKING_PERCENT_VD CRACKING_PERCENT_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 YearLastImprovement_VD YEAR_LAST_IMPROVEMENT YEAR_LAST_IMPROVEMENT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 YearLastConstruction_VD YEAR_LAST_CONSTRUCTION YEAR_LAST_CONSTRUCTION # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 LastOverlayThickness_VN LAST_OVERLAY_THICKNESS LAST_OVERLAY_THICKNESS # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 ThicknessRigid_VN THICKNESS_RIGID THICKNESS_RIGID # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 ThicknessFlexible_VN THICKNESS_FLEXIBLE THICKNESS_FLEXIBLE # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 BaseType_VN BASE_TYPE BASE_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 BaseThickness_VN BASE_THICKNESS BASE_THICKNESS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 SoilType_VN SOIL_TYPE SOIL_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 WideningPotential_VN WIDENING_POTENTIAL WIDENING_POTENTIAL # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 WideningPotential_VT WIDENING_POTENTIAL_VT WIDENING_POTENTIAL_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 CurvesA_VN CURVES_A CURVES_A # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 CurvesB_VN CURVES_B CURVES_B # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 CurvesC_VN CURVES_C CURVES_C # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 CurvesD_VN CURVES_D CURVES_D # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 CurvesE_VN CURVES_E CURVES_E # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 CurvesF_VN CURVES_F CURVES_F # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 TerrainType_VN TERRAIN_TYPE TERRAIN_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 GradesA_VN GRADES_A GRADES_A # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 GradesB_VN GRADES_B GRADES_B # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 GradesC_VN GRADES_C GRADES_C # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 GradesD_VN GRADES_D GRADES_D # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 GradesE_VN GRADES_E GRADES_E # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 GradesF_VN GRADES_F GRADES_F # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 PctPassSight_VN PCT_PASS_SIGHT PCT_PASS_SIGHT # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 TravelTimeCode_VT TRAVEL_TIME_CODE TRAVEL_TIME_CODE # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 SampleId SAMPLE_ID SAMPLE_ID # 12 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_DE_2024 ExpansionFactor EXPANSION_FACTOR EXPANSION_FACTOR # 8 NULLABLE DO_NOT_CLEAR HPMS DE 2024 Delaware Full intersection of Delaware 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_DE_2024 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzcvWmPJFl2JXbMzXz38NiXjNy3qqx9a7IX9sLmIg1nOEMBA30Y jAAJ0F8Q9GGgX6GPGmC+CCNpKEAiORTEZZrdTXYPu9ns2rq2rMysyj321ffNTDjP4mTesnKP8PDw yGroAp6R4eFu9uwt99177rn3BY1GI8IxJYoi7O7uYn9/H51OB0EQYG5uDvl8Hr7v4yTS6/XctcMw RKFQQLFYxCjtq9Vq7hrpdBqZTKZvu9j2er3uPsvv8HO8XzabRSqVevI5z/PwVQnbtV9p4MPbm/h/ f7KCrdoEPl/1sDSXw9deKODMXIBb91uoNnpYms3h8nIWUyUfm3tdvPNpA9MTAf7pt8o4v5jGe7ca +PHbVZxbSON7b+Txb/9sG3/6txW0mg0sTHZwZyWFjXoa5WwK+112UAR4QDmXwn69h6uLbcwUW/DQ Q4d/Q4gzCyX8s2+V8NaNIiZLcNdqtVpotztu/Hw/7kf27ezsrJsrFH6GL44Bf9p+Zt9zvPiT1+h2 u25MOL84nlb6jY3mJ8eVf+c9c7mcG1ted9B4ttttN6c5J86ePes+y2uxjWwD772xseGuVSqV3DMd Nm6cf7wWr8tr8MX5ze/xWnw2Xov34fX52YmJiVObb2EYYm9vz7WB7ee9n4WwL/h8HIdBz6b+4k/N kX4y+C+HCG9aLpfdT06MZrOJ1dVVNwiaGBwMu+iHETa4Uqm4h+N1DpsQR7WPk7teb7g29GtHo9FA tVp19+Jn48UVL5Ljtvu0hG279fkGfvHBBn7+UQt//0kGlUaIK2c5yQN0e2yrj3Tg4/d+cwIrmy30 eiFu3u/i5v0Wrp7N4luvFvBgrQ0PEdqdELVGiK29Dv74B23cX+0iioBe6KHaAFrtDhClsTidxiIi bO71sFPrYb8TopRuIPC6WNnxUWlkMJEPcW0ZeOmSj4sLIdKpBlrNeOJpQXOBFgpF5HLZJwufSoTP xf+zvznGHK+pqSn3NyovKid+n/NJY8HP8P+HLWbOH85Fvfh9ji0XgN202JbkdaQw2K6ZmZkn9+Vn ucB5bV6H855zlNc7bH7y+rwf5xXboAWpZ+dL809rJQi+qIyTEh20mz/1/69yMz2OSBn1a6/921Fr bySFReFgcFLxRtxNtYvwJycLJx4n4TAWlyYFJywnjayiwzTtUdfj/TOZtJsEyU6isuK9KNppkjv3 Vynq0/c+2cJf/mwTf/9BC/c3fOw30uj2POxWI5RLPWzv06pK44XLeezsh5go+Hi43sHdVe7kQBhF 2KuG+PR+C7cetFBvhshlPHzz5Tx2KiHCyEOtGWFzp4eo00Xa7wFdOOuMstMKAS/EXLaDuVIXzW6A SsNHMQ+8cT3Ab78W4PJyCrNlDx64GEM3+djfUhBh2Huyu1L4Pvublgwnp/7PMaHQwuAC5+eG3Th4 T847XoNzkPeXpcz72k1o0KKx1g/vr8+w7Xoe/l3t5f8HXctKcv5rbvP7bC/naXxdKlYfnU7XWaVW GWk+RwfWB99nu/g7n5HPr2c8qj3DtHncIiuXz0mx42qV1TAKeGSF5b4cBG7Bs/MqlSo6nVhp8Xe+ KMMoLT6IlBwHQNbVKB3La3Hy8rt2h6bYXZ7/l2X162JRPbUSWtja3sW9lTo+ue9ho5JHPp/BZoWL KsLGbhedbuSspUYrxHffKOHDz5s4vxAgHQDPn88gm/HxeLODRxsdbFe6uLfScYro4lLGuY3l/Q4e bnTx2vUctndD3H3YxsxuD61evDjSQYS5bITpUoRXr6ZxYamEv3m7Ay/VwSuXI/z+1wK8djVAMZdC mjc1rpwmpjYdWSP8m14cI7mEHCsuXiorKhqO2zBjr/HU3OHvUghSVkkZdF32O4Xf0XzlHJZ1FYYR fD9yz6hFNsri11zT3JTLWK/XXJvTaSpq74lClAubfKVSKfd3CdsaW2mD3S495zCKbdwi99qKrE61 Z5g2nUhhqeNpQvOn8CAOAF87OztPdqzDsAMODiccGz45OXnoZw8Tmdy8Hie+vYb8aJnho7qtpyls /+5+Ax/fWce9xzXcXs1jq0rsxnPW0wcPWkA3Qibw0Eh7uP2w5ZRSuxNhfaeLiUIRV5cDlIs+9urA 3r0mKvUeqvUQ2/tUWm3s10L84uMmut02asS9ZgKkUwEergAXl3z4QQ+1ehu5DBD4EaZKKVy/UMTU ZAnl4hYuLQC/80aAN64FKOTiicYNhgtFykKKSFYSFyL72o4HP0slJYuaY6bFdtSikkUupceflJOM aT8FxN+loGKsNvdk0UlpjXIfPZ+UuPqBr3ye18w8ubY2gSTeFBhlrA1AG8VhSoufGXV9nVQ0Ltoc 9IzHcW1PrLAo7ABaUtwh19fXHa6l3W9zc9OBrZxIg1w8O/Cj+OX6viw7Wn1JkQnO3Zh/pxL9dVJW fAQqig8+3cS/+5O7uLMxh/vrDdSaQDGfQi7rOWWFlIdcNoVXr+VRb4X4z+/V8O//ageXz2TwL78/ iUa7hx+9U8XdlR5mJwNMT/Swtt0F50gm7eHu4xb+5z/ewNk5z2Fc1XoPdx40sFvp4tKij4l8G7ce eYAXoN5K4eajFGq9COvb2zgz1cAfvOXjzefSTlnF/Ue8sICJidITt57jLgyKeI+sWY2rgiFUZHLF +J7wLf6Nr6R1kYQP+OJnpKhGDfhYwDepVPVT1o5+1+Z43HtKMUrUfiov9hXdTeHAyeDPYcLvC5I5 TGmNomTHIXpuKSuKLMLjyFgUVhLXoh9eq1VdA6kkOAgytft1osBuDhgn9nGVCQcp2RlW+D53Yl6f 7TtMeX5VwkX4yWdb+NMfreKnn0zg4V4E+B5msl6sHNhtKQ+FtIfHe1082mgjm04hl0lhu93DlbMZ PNpso9no4NP7Tbx3u4MLixmkPA8vXcnho8+b+Phe07kbl89m8X/+YBf77RpeOONhfqKNRrONv/vA x8auh/12BvNlumXAdqOH7bsNXJsP8fUX0rh+gZZVDPxygSwvn3XKimNA65XPMT097RYdx17uHT/L BcjvyRKncKwFBXDMNU68jtw6vvh/XUfg+HFdyH6i9qitnBtJSc5FPhs3Pn3nOFibwHsrwsjYb+wP bvh6vn6b7yBRP7BdgxQ4762AxEn67bhC5S7L8ii39TAZ+6plR3GyEc9SuFrhZU6OpGvgGhEEbuIp HC1Kw7C7l0DdQWFa4RwcIIW2f52Ez/t4bR+/+KiGdz7LIJPLoljj4ALbrQh+KnRWFsII9U5MMzgz l8aZ2VipfHy3iXozwvZeiG+/NoH56Qw87GNxNoPpcgq7lR7y2RTOzWcc/rW7T+sgpi2sb7fQa3cQ Rinc2c4APWA618KL5yPMTQXY3CW438HrV1P4xotpLE0rkkPXLbacBAMoiiblovGQ68bvUalxLLhA Ncb8XWA9RUpDOCh/ai5R+H8tTH6P9znuJieIgGF+zg9FuIeZG1QivD8VnSz247iigxarghD0SLjJ 89pyt4cV3/ddX7Bv9DyWLkLIhc/MPtRnT1Osqy0FeRIlOXaFJROXE2lra+uJyS/zXTiHFT2Moo6c COLgDDJrZZJT5D4MmjDa2biQvgr//Shwdne3gpX1ffSiFOZny3i4xcXvOWC95DM87qHbi4CMh9cv 5p0CKuZ8LM0yApZDNsPIYQ//+X0GE8LYzXvcwcPNHpZn086d5P1bpDU0Q9x+1EKd10v1kE130elF 2G/4KPttTBRDnFsI8Po1uocR1kshZqfyePkScG4+dk2FS7EvaUmzb4VVyuIQaEzaBRcc5wExzZjq UHAvTeAkgKxJbUP/ioiJ8iDXkC9+hgtUWNlRoLKibrLk+J0Y8B4uUiy6gixCubJs12HKZRh3TNgW X4q4H8fK8g4icnyep2PwNIIoy4rt1vo5bRFuNg4I5lT8InYIzVkpLTaYnSPqQz/+ijqT3+PEdpGq hHJTiFlAqFwJha6PmihfhRso5Tpo52bfbO3sYmOni+nJAv6Lb+RwabmF1a0Ofv5h3VERAj/GuGay KWTTnosEru90nIXT7kaYnvAdTnVvpYu9Kq0l4PFGB/UesLvfQ7GQIv/TcbgaTSpvavEIk7kecuke Ol0qGA9nplrIBMCFpby7Zi4ToZjP42svZDGZ7zhLL1YmqS/s5LIwpIAsd8kSJoVd8bM2CpwcF21G mi828icgn5+JLfmYeMqfbIusbS3MfsqLn6Ei4PVpEYqrdRzh5/XM3GBpEfG5hd2dRNheKRw+k3WJ hxW2QYpe1qQ2Fm4iGqdnIcNEUy0Af5ic2gpmh9En56TQTiZLZ5DIl9dC4Iu/q9OJjfF5OIBaFEf5 w1IY/OxXERlRO/stHMc83q9ic6eF9b00svkcXr2cw8tXcri7QmJnxykmPnS92XOW1IP1Ns4vpF1k kEz2vWoP5xcz2K/2UG2E+Pxx132OLmDQizAzyXAyuVU9rFZ6KPlA2gcK6QhzEyEKGQ/twEchn8LS JFAuZpxVRk5QuZTBucUslmfJSucYxO3WY6j/pYDsM4sgyfGXoqLlfdiY6XuKMvMli53ujd2UZDXI lbM8LLmn/JswMGtl6B5UArz2qDu/tTSpsGhpyTPop7SSpM/DRFwtG1wIjon9aJ1o/scWVUyZGIak OQ45SikKC9UaGfSMsroDmYXJ6IUl2p3k/fn5ebcDcjKJvsAJZgcv2ShFl7hz8bPJTtfk066hcG7y Oor8cHLKOtOuY0UuSfJ9Xaff3wZ9J/m+FJaNcrnnibjTh3jwaAub+wF26wG8Fk3ntkuzaXUi9KII i7NptNohNnY6mCn72KuF+M0XC+iGwM9+VcPtlTY2dusuhQYRnBtHID6X4cADv/O1CUdpIHmUfyfb vZgDzs31cH4OKOWZJhK4r9frKXzvzQJKeeJIOVw+V8bFRQ8b63tPno9MehojfE72q2goejaRODl2 MXk384QMShFGaS1O6+ILFxL5cxgsU9gPX4o28hp0FeVKykrhT+tijkPYPlJ7eL9qNeb48Zn7tVvz 6SjFw2dSZJWYE/ulWCwe2xIU414vAfrPAhrRXD9MacUczqdBFj1zkl6i5whIQ5AvrpAo/yj8SOa2 3qfJK3dMyo7v07QWOKr3eV25hjavig1k5zcaMeGv13vKJub7muz8zvb2jmsw39/ff7pw+Dfekw/K 66mNwhfiXa/iWMNSGmqrMAdLfuXfeV/LxhXjWi6E7QfSOATmSxnynmyTiIxSVLIu9H6j2UWzFaEb pbFDRZUu48UrOdRaESq1nuNRre928cZzeVTqoeNbMbo3Mxlgt9rGR3eb2NnvOSvMaRr3IDHtga7c ZJGs+NB99//+8R629rruY9NlHzMTfP59/ItvpfGdN+fxcK2NT+7WUKl10E1HuLfSwh99bwbPXSo7 K6teqyYWGxVL7OYJMxIpkGPLvuXCZd/RwpYFoomXxDREGtaYy0LhmIyyqPh9fldjKsCf1+c8idn3 sWsrusJJ2d9aF91u7MLxXrwH50jSKtRaGMa6EZ7F/qAF5xvsbFRRHwj3PU3RRjQoGsm/iUFAPXFY 1FLWdyDFxI6x7po0uaj/Eg2ydjP7vtIu9L4AQGERSm3griwejtXAsoC0uyplhn+m4pmamvzCA2jX 4OIQACum/VPsI76PzSUTaKt7yipip1mRJWd5OrZ/LONZ19Kksn1jo19s44e3tvCzX+2iWC7jrRcm sFVJYXk+jcmS7xjr/9cP95yF9S++U3aRwD//6T5u3m05JcVc4uW5tFN4VGLLU4EDwqlnO91eDIr7 KUc96IVwrmKtF+LijI9vv+Ljtasp3HlYwHS5i5+8vYndWgo7lQitjofFmTK8dMEpmnRAxUaLIVZY ckmC4Gn6jXLurEVF4fja3EzbD1ToUmwW25QlJvD7JGxsfU+ES15bGRni4vEZiJVqjupzckmOe+/4 2WhJ5p7QJHg/PpNwN8tDG1ZJyiVWH/sjRPa0mXAstanKklG0cJwWl10rh4HtvJ8CNUe5uxqnwFZD SLpn43pfnS0WOkVuoX1IWTFKGLW7cz+RspC7KXdRAKVNC3nW6QhWiWl3UNpKOlNBN0xhv5HBR/dC Z0lNlQLnCq5vd/HhZ02neBZn0pid9HH9XAb/8ncm3f///V/s4oM7TQe2//abJfzhb5XBLvrzn+zj tWvMNYTLNQz8FEqFFFqdHv7h/S2XJ5jzIzSbKfzRd8oOzP+TH23gg8+72KmnMTWRxfNXyu5nocBk 3cYX2NOKgjHput2OaQV8ccfmuFEUxdME7OfyyZKP3bJ4I9LGpO+Oa5zURi0Yy6RnG4Sp8Xdhppoz FuS2Pw9rmxanLHplVoitrr9rHgyjJLQJUvHt7e25vhY+d5RYKEUYnyK0Gh9trFyf44qiW8WszW3Q NQ/jZ/a7bvAskn61c6mkCAdRoWQ11CozWVdWWSniZP1iC+4qsiKQVQprXOHU40oy6mEtNfpxge8h yKTwk/fqyGUDLE73XKTwk7tNZxmRpvCrO+QZ0U3rOJa6s6p8OFfvtWt5/NF3J/Gd14u4/aDlIom/ 9WrBWWlMbI7cRAlx9zGzDXz4CNELO1jZZF/0sLEbIoKHdhdOeZXyEVJehBcvp5HxYxdYi0rKVuPF hGY+B8eRC8FiSHYhyOrV2Eo5UEQU1XhZJvRpuSryJHhv4ViqpKAsCYuBWUUlRWP/n0w4thiskqSl vHQPWVZSjMNaF1LmnYNo6FHzOraqYgiD46VxEvVC39W8lHtOOanSsv2hjWpQEML+HEaeSZxfWIfM f050Dih9/GR0SYNpF7gNcVswW5NAxMHjZPiftiQHQfgFpdMFdqpAs9LCB581UW9FuHEx6yJ/dx61 MTWRQqUG/OiX1ZjoWe0hE6ScYqGrxgjg1XMZZ3F99FkTf/2LCh5vkK3ewfJsBB/MB+xgZauN2/dq KOYC5NKhI4E+3Azxw1/uOyXIPMNMOsJMqYeFyS7KuTbOTLextd1Et113NIZCnlhHHAmU+6eIjrhP yhWV66GdVe65nltKz6beUDSOybpYWkjjtIyFC8ktFV7LZxA2q/Si5HhaV1PKKqm4tEjlFqnfNJcV xRQdQ1ap3WgHzadCoeAsWn6Pn7XpTlbUn/E4xXw25c/2o0fINRNsI7hlFNfYXlPPfVQtrOPIM1FY VChKkFaBNOIHdpfVzqS0Cy1wmbJJzpUeXqk8v27s9X6iCR56Gdxf9/BXv9xCqUgcz3PYFGVtp+u4 UNfOZbFT6TmiZ6sdodnuufScfCblwPa//6DuJgMTlD/+rIbJQg9rmzVsbvWwuUtgn7WsAnh+GueW AnQ7IW497OC9221XToZteLDuodn2sDAV4PLZAr7+chGPVnZRb3aQCSLMTqaRyeZwZmHK9T0jTGKZ a5LzpaCErW6g3VqfkdXRTzT2Um7WkrbufL8o7iiieUcXi/PQWuJqr5Ukn0yheCnvpCWv5xfelJyb ckF5f4HO/JyigIM23dwBPqycQ7mGSTjGRuNFPuVnjioOyGs9ddefYsSjipTWoOcZJdjxzJiUypXi oHDic6IwMdqGgBVJ44CoYqiA+oWFhYH4xrPEpsYhPVqMLRbVy2Blm2TPEHcexbQDzg9WY2h14Nw+ unjkXu3Xeu5zpDdUwwhnZgN8/cUsipkm7j+sYKrkoVJP4/5aiPtr/H4G63spvHg5hxeuFHF+rouM v42VjSYebfmYn59Aq9fBdjPEfCqD5aU4ALC61kCb0UpWeWh0sb5ZQyEbu1IcKwVdbEjamv5axMIO j7OhSKE95d3F7o8UjNw2KbCTWNSWJyglO6iNwkWThGdL41CE3UYdZUX145DZtCQpFb4YsEh+3krh IEhGL4V9z2ewFqkgEq4l0UQoBNqH6SuNswJYFgMcRYTBKQhm2zpK5YhnSv3WwDNXij+ptFhylp0q 99A2nhNduMhXVRLjNCSKSF0I8c1Xivj5R23sskp1BJTzKcxN+ZgtB478+c6ndcdgZ90rpurEC8Ft 0VhZr+DvfllFJt1DLuPz63j9+WkszPZQbdWwtgN885Ucri5nXM0r7sgrWx2s7flYr2TQS8X5hd+9 nMO3Xsnj6zdS2NraQNijQgDKpQDFfGzh0DoWedHiDkkyoxawfSl6KMV1FFajn7KupCCTJVkoco1G xWH1DOKLHaVU+7lSfHGOWk6XFAcVihR6v7Lb1sMQ1sfNnBv4Yfyz9EFEXhiiFCmVgnIr2QaOOX8X XHKcftGmcBRoPuy1tClYK/Qw62uQPPNcFZn/4mepNrwSPeX322jT/18UlYRUhd/9WglhehZ7tU1X QmZuKo3nLuRcfiBLGtMN/Lv3ag6/mp8KnEVFK2u/2sS814QX+rj1IECjk3Iu5BvX6EJHeP9OG+98 2nYJ0PzOp/cZ/WJxxaajTyzMTqBY8t39yX4v5YArSyEWJ1tuDGQdsMoDSy8Xi7Gi0aKySmUQBcDS QMSDUvlj0QeOwqbsdZPUERvIkHKz7qKsPTHhD8OFaIkoefs4lRf6tdOKOIgxmTSuYpFMZFYfqv1S eqq+OihlyD/AAtmfdCsV3bMuonIwR0kMt21jW04KuWhj0JzQuI1iuT0ThWWjehpghWqltIRd2VSP X7cSMOMSVl6YncxgrcbSMR4Wpn2cmcu4iqFkqROjfrhOEL2HhakUzi2kkM/0EHaa8IsEtYHIC1Br s8Y7kMuELoeQYPoP3+7g0wcdREjhs0cN3H+8h43NHqbKWUyUCrh+wcenLATIGu/tLjLFHkrZEGmP O+DTnEstCroSwjJEhrXRvaNEnxMBWYD2U17X0wqfg2gyhykFiiKQclkF8j8tvNdfsQqHU0qPyLDj 9CbYJj6zqDdJa0x9KYuUUTwp90FKyzNkZJsZIHqIIvFSVqOsIymUUQsVJkVBGb1GVYCnqhGsT21r YAt8pgjnoCiEzkGQif5VWlc2IknRpD9sAA8DhvX/djeFBxshfvRBxdVgv7AYYWef5WHiMjGMBt68 20Q5Dzx3IY2pUg/7lTYyfgteLoWV7QympqjUfXSrbTRaKaxs9fDhvX08WvPgexEqxMUetF3kb24q j/m5CUwUM5ipdLC508XGdgXddhvThQiTeU5MWStPswWU1Kzn4ksLSYTio3hTAp45nqohpWtIaQkK sIRj7cKHRauSFpj63ioBG6W0kTzbPj6LcCQb+TupSCHypxSLMiws/KF+EE+Kos8ryyOZyuQZl1I4 mOrC6Zn7nTJ0XBmnh2Mj5SO3B6cgFjSlpleaTXKHsNpWjGD5/YNK0TwLUbssd0iL54t8qi+7LrZk h11w+t0FEkIPezW4lBhWVei0O6hMEcfqotoMMZH3ce1M5MoXz0y0MFFIYXHKx51HeTzazqDW6qKY pzUGrG73HMb10sUs9motzJc9hFGIfDrEVCGLxdkSnr8yjZnJDBC1MVNo4/nlCFfOeIhCts3VBTRt dP8+OWLNPhvFptJwwRDfGmZCK6jCRaSFqxxTq2CSm5rcHcvG1v2s5dBvYeoail6yygTTjZLuKC0R FQaUGzXOUkSyfJTITAiElmvyVCDdS9QDrh2VWrLUkfAgGKUNg59nn/LaXDtKWxuHshmn0ZDErH4t ooRatOxopQJQGcl/t1EVKStbi4gdfe/ePXeohQDfZylStKqxbUvaWMxEoXfxiayStruhJqJ9Mcex 06pirhghdzZ0Zwu+dr2ImXIaq9sdPFhto9nxUO/4qGwFwFbKJT3/7FYbM9kuSsWUS2CmCvHZJoRO uVUqNRQzsWJh/uAvP+7i9p7nqoX+7ls5/O7rwAvn4l07xUp9bu5QqVIJE7RtO6uKEdkkQC5yqA1/ KzJ2HFGEjG3gvZQFIYtA/avQvKLFyqk77gEl2hxVabPd7n2Jia/UHd6Pn2H0mspVKWTjEM4JkTaJ O7HsEgNNNiJoN3W1ic+vhPHiQZFLS5RWPwhG0fF1woRPqnDsiUfjlFH5WWNpiTXJtfuqMJq4JRa7 siFiu5DtwHIX0kkop+kWWldCYXSZ4gL/Zco+3amfAs7a6RwnypQyoSjyY11L91lw50/h+Ys53Hnc Q5jKYreRx+pehPdud9FopvHG8zm8cS6Ljd0ePrnLw0sj/OvfnsD9NSp6OH4Wr3duLkQl18S9x21c vVB26TwPVht4vFUDgiKWSgH+6LslfPNGD2emmk65qTs1HmJ/SyEcBj5rJ9fhIyeJHmnRaUHYa0mh Wc6T5pZgBI3NMG3QvQRRyJKSCDMVH2p7e/uJYhzXgpXSVzkaMeFFVVAlCctLVOqcgPvAHPaRfG65 8vw7lSJfuv6oclprT0ULKEp8HkZOPBKypuzi1MAPquJ4GD4gv9+WCFFJ2nGKLD0pRSkkTWzxiDR5 bIoFJVlSRc+VTHJNhv35ymXJIqcvloMfhFjZjrBd7aDZYoUFD69cLeLrL5XQ6YW4cMbHjUsF3LxH fCt07tv6ThNhFyhkefggC+tF2NztwA94co6Hi2dyyOYKWNvL4MXLWbx5tYuZYsel5/RbwHwW0UqO AkNt5QqB6cJKRhmjYRSCcC4B48qWUL000R+Owp0sSVnjLzdfylu/iw0/7uCPrs1Fqui4Ng2dOMSq D0zaFywiTlXLVE4ZlOqi9tM6JGUoydg/rqh4gdquMVaBzVET1aW8aWnK+xrmGicaCWW/K2lUYWSb cDyKKLpBpUWulnaJcfjTNj1CaSQ2OTZ5pp0F0bWY++1s/cRaYlaKhQxyWZaQYc0rH/lshFKBFT5T WJjx8F99bxKvX8/j5oMWJospV6Wh021gdbOG2YnIuX3M+6s1IlQbKVQaTJlpwgt6WJ5n6eQ8Xl+c QDYT4NqZDoKo7siqigJ+8XTs+pMI01F9a/ElcYYsR06vJN/opKKNwObfiZFtlafm3mELyPKLZBnL jdc4KufO0h3GmUmh/tb60TmZWvzxJvJFvEdBju6B4nIb34E13C/6qUjkcSpD9GunLQKol4ImIgrb YomvorJVAAAgAElEQVTD3sdam/JcjtoYnDGEEUWdzQnPG+n0knHkfomnxXvYMiT2HsOKBkydLdDY VnbQorOJuypBYqkYyQhTv9C7jXAlP0OJLSzfRezYhumJHOYmPcxOBS7puZj18I2X8pidTKHT8fD5 4xb+8aMqfvXpPjw08fLVAt58voytPeAfb3ax4g4/7cJPdTFZDLA4wyOispgopvHm9QwaVZ6qHCvm ZDusdTFsX2oXVz8KG1KwwS78cfPotIBkwSuZXrl5eum+gyKM1poSliLrV+3VyThakCdxqwaJ8hfl SUgB6TkkbJ/mafsgVU3la+QCJhWq+E5irI9qAWuN2PxQ/uR9tWkoOKUAwHHwRVqCNik+KRqXJxSV Yz/BwcQVKC3zc5xmMx9ENaVUWI+DyjQEpS4c1inJh0yeRi3gV6aojbwonUIpG1rYViH14wvZyJZd MMmoSDw4rJXu4+JCF2cWUvjo8zYer/PYLg+TSwG2dqrY22cqThfv36zg3Y9ZwqWN6XIW+40sXri2 gEzgo+dVsLq7j2Lew5XFLF68lMabz8enRO9Wu8gGQHNAN7Et8aTnzvYUALV/V18lv5dcUFxsclEs MZCbjqWwjFOkVGSp2Eog1sUaRI+xVoeibMInpcz4vmXqjxuWUOSUPxU9FI9M/WatytRBtJDv6ag0 nQGZjGqqf8R9k2Ib1euxVq5oSAqe2HpoNporGdRvfF9cMsvTtCKrUs8xkpbhpBDwOm5llWQKc7AU VeGLD0Cwt18ircWiFOlTFUthEexMa0rLrNXgK1Rsyas2jGxZ3Pa+el/XomiyyezVq1FvIey2cO9R FamoCT8C0ix1kvLQqnv4X/98G9k0sLIT4PFmjGv5fhGdqIhyKY//9IuaO+aLR8+32j38xvMpLEwG +MYrRSzMpLGxy+gaF29MXBwkT/lu8ZHpYkSLbyXFLrHKWEnQ/L8OyrXBCf5NhMzTTkzXuKoiiPLy eH+5R4IUbPBE7qPmh+aMlIKsOC1IWztuXKJ2817CVFWZVpsl26Lihv7BGKjstMB11aeXhcMXN3gZ FoRW+HlVch2XqH9FWOV91A6tiWEUpeZM0hKUBfqE/nKcxrEBqqbIRX/aB5KqM6ig+JMgIiMLbLiq P0h0wohC5HIdpHiSHaZJIetLkSftsDYSY91F9cOg/pEVpV1fxe3srh0EaZxbDPH1VwI82Mrhwlkf b9+s4727bUyXIswUGni0nUaaJhKLxRCvakbYrfcQpFuufDKjhN0wwsKUh2azgV45h8fbGXSQRqcb IJvPY2Ym5jzZQnwU7dQqZy0LVvwduSDJ46Us7qPJxc/b2mXWqhwlV2xU0STXmKtcitxFbnZSxhpT USaSlRb4vjZi4Xx87zQUltrOl1WgsmJsjmH2oJSPVVxUSsLB+BlbB18bDj8nJc7+kEU2zrGR68jn kKEg64tt4aY2SFHye6JiKOdU7qaUuDyAobWNNB0Vhhb3cfgwo4oWBncUnW1nw8GagPKjrVVj3RFZ N3JptIB5bUW5NPDijo0CHmtR24RUflc7W2wusxpo0xXtu7cZ4POVCM1OgMkJHuPVQbfXQ74wiecv sX4+sL3XwzqL+91vodkOHUB/dj6D5y/kXC2rym4Fv/f1OVedYbLEQ1Th3MlemEKQ5q5aRqsVVxCV K6eS2JoYEu7W6XQceJDytZEhpVDx74ws9juLzyqPZy1SRhSbWKznkesuazBpNQsW4OLXbi/OoKoL nDa9xioT3Vf9XjvwBBTJllLl50XEZXstJUeKUGx6rh+r/MYlupfWI4X3pM7ghsHNLWk8WAhBbeR7 OuBWylwGyJEzSh1mzbJnpax0fy0sWT3iAmkiiQUsd0U7qaKASWY6RZ+1bp8U1qC6TcO01VZUte21 WEoMTnIx1PF4s4NqE7i0lMXUhI+dvRo21yOXeLw8l3H1r1qLIVa3uu4wCp6WwwNW660QO/tdR2fo NbvwA1pWPVTroTt0dXO3i3urPCIshbDHRNkUdvaAVrODK2fidgqjE5jOfuNRajaUraipLUMtF0Vs 6l9XkWKy5wf0A+HtEXRy/zW39B15F5obSQrLSURuqr2uXdQC1ZsHFpI8Ax3aojmvAIg93FU4rV0b 9pAXKfNxKWIL0ttyNdwAKFKkll4iRSfPSOtIbdMaPVJhyRqROUmRL/0sTH3dXzgCf7e1kWQN8T25 JbIE+/GjpN3t4GmyyJ0UWHnclCBFm7h7cUfh73Qr2DYlv8pUZ3oIeTY80JLHweebcMd5sWzy6kZc kbTW7LraVxfPZLEwEzhW++xkgIkiS9AErkbV7YdNvP9pFZfnQ/zDRw2Ui2k02x0XbSRFotHmidEh 2l1Wbeji7mMPs8UANy7GE9tGZrQxqW9j17+JbDZmXFMJ65AR9t1RpxwP6qNnscn1k36KSmIjm8nx tBQY9oGKS2o+aeMe9bkspnZYQrnmbNsUtBQ8og3bVnO1Cdf2EBYL2kux2UoS44zoUnhNe5KUlKgY /lZhyjKTZyQ3WR6QWzuDbigLxXJRjjqK5zSUlTreHlRgrSFb51oam52kTrAKyootOKcSIDrl5DjM W7VVGJqUlSa6Opzvsw2KcBLo5jmD/+a/W8Sf/7SCn75fw69uN7G5U8e1JSqlCPvVLir1wFlUzDmc n/KRz/l48WIWr17P49b9Bj5AiGKBhfs6eO162hFSWVbmlWs5lPIpp7x4LuFf/Xwfn9zr4PtvFlEo FdCs77nDJJJnOsrKiEP+eGJpCRzWhjHshmVdHStfleIaVmQJ60XRWZlaA8L5BCrbvMBhRGuMMgwP zksA3HSbaLmI06Q2aJzYXik3HT6h9SAlwnnPTdZSJMZhjCSjhMScddisoAUbTVZgSh6T1rXFlCl9 FZYWHDuD/6fZeZITco8rMgnlr/PeyfKucrUEmsuXt345r6MzCzlAEmECSi7VpBFgO4pfrxNS+JOD I1OdnU1Li/lp9vCAfCbC8nQLYY8mMdwR8jy5mbhTKpXB//CvpvHS9VmUChn0wgg377fwb/9syx0q QbeQpz6vbjaxPB+48jQ/fr+Gv/x5DS9dzuJbrxScW8iDKQjWs/zyy1eyeOmSj+kS8PmqhxcuzmJ/ b9u1qR8HRkRGTWAuzOTBIMOOo65F0eY3rt1cyvA0FaCixrL0id0JXCY2o+cRVDJstQdxGI8Lr6QM 6XJtbe0JpmvrXmne8XOiTKiiqRSuxW6VCqcKHeNc67KUuC4UyGH7+Pxra+tu3UjHyHVX8Ew0jycp cf1uwD8yl8pO1GelrNg4pV0IrE4WILOlQERNUAqD8rH0GVln1h1RLW1bRUIRl1EUM6+jml6Knto+ 471VzI3tcpGnFvCPn1Txg1+t4srZPL52o4Ary1ls7DQRoOrScNhcvohL8YCKb75cxH//hzl0uiE+ uddyh5/u7JHx3nVHzr96JYPvv+njuQtUVm0UcjEewHrwjzeaqNS67nCL+6sNXF1+qsAHuUiFAhOA yyOXXLElcKXoZEmMS1kJz+FBGTwT8LQUl66rvlDOq8VYVV1UFoElJdt28TtysU+a0jQ1NfXkYIpk dRNZZHIX5QHI0pdylWWlaKiOQBs3Ti18S8J7LC4ugIc520ID8pRUtVXnMfZVWNZ3Vzb5afNokgmR YhfL17X3F89G4VmFfOWKSTmJfiFAVdaTdhSBevbe/VzHo0QTVWU95ufnv9RmTRwqyqfgquesK57i fHYh5wD384spnF8Atrfr+Hyli0a3gqmJNDIBT8uJ8I0X0lheCLC110Mxl8XSdIRHaxF67Soa7Q6e u1BykcVLZ8gp6qEXhvjVnTY6PRYMLODyOR+VeoR3b8Xh41YjTj61Yt2KiYl4sxrE2j/KBbQu0nGu MYwoKqy+dYq52fwCD2lcovXAvrC8PptErbxM4VHCXqXcrHKSlXlS9yt1ME6y/JR5kIxu6z2+hMPZ 8z+1GfGlKCM/p0jiuIILao9EWKgN/ghb0zoksdnWEOursGz1gWelrAR8a9L1O7ZLOJEmgvgaIimK P6RJoRC+3QWVSJrEVUYpLKZSHnzJJLdHtyefT5E4StonTpXDG9czODcXYWE6dEorGwS4RX8+bOPW vX2XYnNxia8AhUyINuuP+8DiFCtZAg8iH7PTJVxY3HcVS1lZtFjgkWE9bO93sL7bwZn5rFOKC9MB tnjE/SqQDp7WI0v2Q9z/sZU47OK3FAHKoLSYk4rwQt1Hi15ZDVJi6utxWXLWEtfitmWFpJTsOYxq jyAIa52Ny2vxD9jy4jHJNU1iSLqneGYKYlFkhVneoXAmtv0kye3DtF8nL2ktyxtStkurFbeVdJu+ 5oQaJktnnNGDpFjwWyC6gMx+7HV7yrB2FU0a7XhJ0QSSEkt+RoM0CCDuJ7wOLSalFShhW/dS2/VT RQkVGeFcPTNfwD/5zZyjKMxP+rh6jv0cYm3Dx4O1JnYqHtqdnIsKMtL3cIOLsePAdBbt+9t363jn 0xb+8NuTWJjpYK4cK3UepNpqAxu7Hs4u5PHSldiCY0oQa8UT32p34qqUyed9Gvp/qsSPsjrtsVyn SRgVliHujp2XcjfUFhs8OGlbtIi0mWoTl+UiLpvmkZS1QHV5BdpoeQ2rWE8qOVOAkJvoIIyQbRX5 VdilTtVRMEXf5U9BMxThSeM0YGwhAmWZiAZBUQn1TCZOtnaRzORFbCcqi1yh0HFbW6IgyMUTZpXM 71MoV1iVWMAEHDVBj5qUcnWpZKxokGRNDKOwhLMpb82ecKK0HLtotMtyAIS7sLrodDnA2n6Iv32/ g90a60tlUS5EaHXT+OHbu5iZDDA7lUF2NYIXANl0gDsPGpgph7jzsOlOhuZpOmHICqQpd0z9nYct VBo9h4HxtOg/+GbZnY7T7UbYq/XwcKOFta02KjV+/stWpcqqaLe2C77fAuPzuByvg539tCxym3h7 WERNlWyte3bSA3Y1BxVFtteSorS8Nmvd6d6ycORuqSDfOCwX78AttnXDNBbJa2uNKdKoSLwoQ/qO opHcaBXcshDNSdosKzlJq1CFW3kulBiaiKOIlC8pLPGbFL2QQuEXbaTtpCLgURpcYVc1TKxdJaWy Lby/aA1UPKNUvEwKn5NgOzvlMEvSRqN4fw6kLCkpUnWsFJ8ItwxgKHqpScHqoA9XH+J/++ucO1T1 s5U6Hm+FeOv5HK5cmMHVCx18/cUMskEPKT/E4oyPiYKPRq2LVrOObquB87M9TJdS+MV7FeTzaSzN e2h0PHd0GI8H+x//mwWXwkNh4T9WftitNDGVb+DRCquTdlx9reRzqogdf/IZ2Nd8ZuV2SlRq5LTr 77NNCsIMUzVBlITY+onLdHORjqq0pCxlHSWvI+6erWggBSCrSu6W+E7sU21i4wC3swdWmxSQ+FmD riuFpDxJBqEEaUiJ8hpacyq/zOc5Kb1JpdN1T91DG7vSwwTdiAjusOhB9a0IuAtIVK7ZuHIHBa7L xNZ11TAOpsBNnU1oTW2rgU8qwrb0fFKYljSrSUgRI9cW/rN4n3ZWWVKKHLI/NchuoN1RWimUix7+ 9X85hRuX8mi0I+xVecJNBpPlEnL5LHw0cPdxHT/5FXfNAp5bquOVa0X0vDzevtnCB/c7uPMQePlS F197KY0zC0W0ewF+/E7VHRH2xz/YxfXzWXc4azaTwnQ5h88ehbi3VsOVxQiFPgwOm+itsZK5brEb gb39KlOMS3QfuSnHkdj6IUs6PsjTssiHXWzCpAReH/Y9XZcvtplUFo67BcIFlPMzVAKc67JcTmpt ZQ8SoHWitfCnQe1W8EBrS8nqUlzWShTTnp/hcyn5ehTysHJsSXOwJ4dro5Gy1PxTJoZbZ8kLiQZg lYSsLr6SJvFxGirTWi6glJU9NcWmFCgsLKoCPyOSqIqInURkzivFpN/OKX6VXFaLdckKEeNZ36Go L/m7cqjspOGtstn4TEEqlp0qB4Ykzx7eu9XE/bUutishrp2JDzxdniX+4GNnv4m13Qnkczy2K4W9 +xFWdztIfd7Ct19r48xczOsiXsXDWF+4lHdlk+ke0poiEP9oDZgu9pBOeG+aKBZToNgSLgpsCDS2 hMVxizYT4VXHvYeUh+YWxeacDnM9a1kPo0w0R1SDXsxt2xYBzVJs8mJs8ctRNoCUSZoWnqV1NshF tFFhge3yagS2WyUvxaZ1Ks9hWEVrgyYqraOgCUUGgx0zyy0LklqPokRddbAsLeEax6U6aOJJg8s0 lmVlmeEqeSJFRuED0nzUUfYilZ1UhLsk3Qx1qk1Lsqk9ck3Et7KdTNGzqtBZP8wl8H1Mlwt460aA z9dCvHergUaLFhuw8GIBz1/M4qPPW06BkfB5+QwXWIj7K2k83Ixcqs7URIDLZ3Mu8sdyMh/cqWG7 FuDxho8LSxlcO5fFy1dyyAS8bg97lTaajQYmc03MTpDq8cW6XnwO7WjKf9T7tkqD+sAu+nG6g7b/ R1VWVvQM9toqDX3UPJabd9znU1FLuYcC2e3Cl4Wi1B+5QbaK53GKYnoHYyIcWOstmaLT73pPUl+e HNYRV/iQ4aBxUJ+J1K1nE21jmDbayColOQ5yAxUc+wIVgv8owiCtmtSYArr5dwHNw3SiXCZZG8IB RErTve2LYk/IVYcIR7F5jScRmbpJZSX3T64xB0ZApc2f60cItNQLZdTL/E9KTMot4OrZCPfWe86a YgSvkEu5iB7B8nKhinaz6k64IZVhp9pGvlBEN0qj3YWriTVTDrCxzbMGM7j9qIUP7lXgp/N49Vre WVSrWx1MlYAo5Gk8Vdx9uI+5Use5iLZVwme0KVFUlVURWm1eSgAeF8CueaJ+stHAcZMX5R7pmSiW bnJY+477vJpjtqKpFqNeUiICoQWE96ue6g+57vh3WVS6pqxjlVLSJvBFq/8pg17un0BxYV6aA1KI +py8omG5ZcNG45MSyN3TDZMpMOoAaVmlmMjiGNQY7UyqXqBFr5Iwtkqk3D3hVcmH1gQW0D3qw1qx SdNqs0LXSmDWhBbBzoZc9XnbV/q+ZbwPnuQeOj0PP/9gD/dW0njuYtEpGTLamVf4z79dxrdeyeHu wwYqtRYeb0a4t+Yh9AN8/2ssrUslBHd8fcPRIoD9agrruyFCdJw7+Bc/q+Dq2SxeuJRBPutjr07T u4fFmS9PeDvGqsagQxH0bEmy7TjEcuQs/pdkRY9TtNHI9ZWb308ZqA+UFzqKyIuQOyqSsrVOBX3I KhN0orWjSHb6wBIaRnFJKYnkKqa7DBCbb2tF99A5oUo5s/CNmP78Xe6nUnsOO83IYlLD8N6+5JkQ nBOh0h6cmRR1qo72TqYB9HP/pIxU6VCVKqV4FKJWVYNBD6kUBHacdhtb02oUURhV1oTIfWTNK8wr 4TOwn3QghvpClU9tCo5YzJpch0mQinB2tofnLs9gcoLuAbC5Gz/T+7drSHtk/XaxNF/GwlwJu+02 LiwS9Ac+e9TCZ4/bqDdCXD2XQafFU3W6OL+YRjGfw7mFNH7jxQKun8viZx/WUMylsFD2cPkMFeiX uWrqZz6TQG5NWopOLhp10Q6SmAvE02/inDG5QqcVcZRIIWpx2NJJhwHUo7bLgva2akG/Dc3mJspi 52tnZ+cLcMpRpxxZS07tVxBNKS+2VHi/52UEXTm3XHMC2yWy1tiX3OhV90pwT7K/hI8dFe217rOV QJncyXy9QR3ABsvHlclKEQ6lZGLxkzTx5U7KPxcXxKYNDGo4v688P+3AvA/pAprclmE8jFiwTyRQ tU9/F4ZnI0Vqpz5HZau+U62iYcxipuakfPKqarhxfQa5rId8lq5KhJky0G7s4/Fuw5180+xm8O6d Om4/bGN5Lu2sqko9xNxkgNQU8B9/sos3r3rohRksLxQBL+MSqTnUn6+00WqHuLQUYHk6QmV/cP8I V9CiVd8LIjguczxpgSZFLkqh8LQ087Dg9jjEAuGKVmn8kpiXMgBO2jZLcJWrOIgvpZeCOx1T6obK S9QjC44PuqcMCf5UOowsONWAS+Y+WktKKW2KzltcVs+kksy2iKDVK2qDnukwEcb4JYUVa+mneNEw ZqY4E6rrrYEWCKeib/qbBfHEVxqEAakdNmqg3SmZn2czunWKsA6PPEwswCy2ug0IJA+A1RmJNppi J46OOZMLaTEg3c8uRr3S6QDTEx6mSilM5FktlKk5EXJBC2kvxOONLvbrzCmMsLGfdpQHRhTfeK7g on4XFgNcWQ7Q7eTRqLfx6vUJXDo7iWbHd58lnYGWGE/3KuR8lAoBGjVGX77cP3LT1ecS/d8mMh82 T/ox59UHVuRe2nF9Vopq0Hzoh21JSYwLs7P3UiBD866fRaLP65U+SKq2OJcWt0247hcN5Hu0rFiu WFaVBfylTHQdKUGb1iPPKVnk0gal5EnJKpMy1HMeBdALWhElxEog7aydZBjATEQyZVgn0yWUfqId VKfWyg07qqKnjUglBy/5f2EvVFjCjw4jlEohidEtPpiuo5/2ZGGxgi0oKdNaL01A7RyaSJqIei5N ADdwaR+XlosoFnzHTK82etjdb2Bzu4JmJ4OdSoT7613sVIF0JoWLZzL4+G4LL1zKYbYcJ6reuttF 2OtgcSaDt14oY2mugHY35awwllMuZLp4/kLGURuy2dhKEFk32efacTW5bWRICitpZSXxBqv4dN1k JMhGiX6dKpbqedl+S4OQ0hVBeFz30jqxeO9hrPyUqaAq986eCKXIqjyXpLWkdS4PSIojeS2bk6lI pa4nT2LQpqUiAwLubfsUxDksj9JifXaz1N+cwpLFYCelPtDvYlIocgvt4aOyvGRtCdykqGJlv0Za C8SGzweJTWbWvXX9QQpLAyDgX4RY/l8BAT2b+EbCNeS3a5As1iJMTu21lorl4CRz9wI/heX5PLKF ALU28Gi9iZuf7+GTu3VsVYGMH6HejFwJ5QvTvssJZG13WkiNZguPViruO61ugD/4rVnUW2mn5MKo 59Jw1rY7uDgf4dxSBsU8d9PYHeiXTymFRTdb7RWFhX2sMRJgmnwmjZl24eQis3/n/8edlzYukaWg ea6FLY4g8Zlxcs5sfqms+GFoHL451ET8Rq1Hq2xsLrC8H0XZrUUkxSUqj64niMAGnAR9DKJIaM2I IiFXUtyrQZuU1p2tOmFPuz7AOOMvW6uI7yUXl43sWWXEl5IU7ak1MimtmzRokkoRDuNy6PPalQSE asc+ChRmG4SnSVlZAF0TR7vsYW2xO54GXAtaCtSa53agZJEWsl0sL7IEchpRt4qPPq3j/lqIXtRy J+gwksgcQUYCb95rORLpzz6owwvrmJuIKzH0UMKdlRTW9+o4M9tG84Ax/5svFXBusegoDAK0OWGU z5bE+5QCY0WZ/QJJLWNb1obd4BTRFQFZJbWtwjspr+pZiBSCuHSCBmzqyrhE84VjkzwFeti25g8i 7DIYLCXHut3W0ND7ihZq7NQmitw4W0lBmG/yPMRkn0hhsl3cCG2UNGmQSL/IY1HAgUC+lN0XmO4a BFvpM9l4LW4V/1LEj8dv6W/W+lLtHYoGup8kQfdBn5PysDs6o3rsOFV0UPb5oO+rQ6SMNdi29K8U y1GTUmCtJokig/aYI+sSJoVQ0q37u+imprC2vY/3b25hZaOJ2bKHljPts+6U6FzHRyGbwo1LWZyb z+CTe03cvk88ELi4AFxYCnHubAn/4QcVB7RXGiF+8VHdURtYGJC3t+FkBgrYNnFsDhPVG7NHSMlK 7lccURsYsT1r+mtCnwZVYRBONg6x9ArRAmhljcs1tCIwWptGP67UYWKVE8fJnoegdUjRxqoNRLiv IAux7ZOEZwWo+BmVLhfoL2gpOdeFwcnKlm4RTqzri7YkK5bXopJLztEg6WIJAxJWY60ZmfS2E0RN sAc3SKFwsrOa4KjF8ZIiJSpul9wacUXsDjFIrNWoycgFbBXmcSa+AEqBlrIqhnFr6RIuTKUdmfPT Bx082giRypRwdonHc2UxN5VBodTG6lYP185l8Mb1PB5vdXDjYhbffzOHc/Mewm4bP3lnC0i3cW4+ cGcWbu91HcP9n3+bZ+t5LmLI+lvEzKIo7iMlsguHHKbPbARYFoHAWItlyZpWEq74OqclGvfTuodd A6L0WEtx3NaWTaRWnx5HQXoH7ZFHQ2WShHds9RPOBa1vi1/2E1mcwrBF0ZAbN+iQGn5PbiLHyh5X Js+NbeT3eX0FsyxnyxlF0poicSrqZiehvmRBUmvGyvVJ0usVBVIDn4DNJ5hYOuLLWkm2UN8wIuBd 9dsHsdGHvVYy33EYUz7+nOcsqPpGE0szGdy4NOcoDD9+t4ZLy3lMTwTIpAOUi21XA+vK2YzjXHEO tzs8nzAF3yMpcRv/+1+s4/nLk7h2LofecsYdRkH58E4T8CIsTnuurlb6wFUV+K8ASvIUnX6iuaJd 1pZuSc4NHUGepJoME4k+jmjMT9PFlBvETZELSpEyi/+Ms4y4JdDGngPdKGJGx6tQqjWbfBa+hH0p BWvYSq1ylfXcgk9kwdNakxUukF8Gjt638BF/WjqNaBBWWVkrLJClYkPwwpMUKtUiTLpLmqhJkD5p RtqJPqqI2ClT1FoFx2W+c4A48URmPelEU98ct9wND1SFl8ZepYlrFyfw0vUpPN4C/tMvG45zdXEJ uLyccafrEERnKg6P+iKv6v5qB4+3utivthEhhWq9hYmCh5kJH/v1ELVGz0UK/VSEHJOs00zF4bhw EnMiwVV/4CnUsoYUhj5M1Nea7HQVFX62QRPNDYoiT2J8j9t1s9bdaYhl41uc1G72/Mw4y4nbwAa7 vNv9YjXVk4iyCpS6k1QMR4k8E2141uNS3qKsJ4pOGlJUUoaMeGja9KXIbCTT5hq73xXGttwQ6+bJ rBzmYWxFA93clmXpx6g9amHIUlMpDjFlRxEpWWuyjmPxaNc6roR0m8MArY6HbhRgr+5hu9J1NQiT npIAACAASURBVNl/9MuqUzJXzqZxdiGNqQbZ/ZHLD+TJz/lczymle6tt7Fa7+PorJVw/n3MHrhLj Khd9R0Y9Nxcgy0REV0EUzj2kImNz04GHXMZHNh+b8Rw31Wkaqv0HdcGo/G0/SEFpwmkTtPmh41Ja vI7ud1ouoW0r57hOnrHFJXW4w2m4iOTr8ZI9U2niJNeTKyhjY1QlK89CeLaCWIpCywrlT25qIrDa +SGXUBiWDBFlAggjFiXCEUfZeEscU+jWYljDPJSNcIh/JReTgzxsaRoNjI040aftV4t9GLHWoSxG lX7pR7I7jtgFehycQTt2p9vF+aUiqq0U/v6DhgPi/+i7k045zU7FB07wqK5yIYWfvF/Db71adART UhaKOQ+vXA7wH2628K23FlAuBfiHj6tOib31QsEV/GN38VxDvqqNyGFcD9fjMsuUyaKP5fk05qdi l0bJ5cNaLApkyC0SxijwVpQTS+84DTlNC8sCx1xUXHwCphUhZvVbWxts3KJ0tNQY3E577sFJIRqr uGSQyFB5omQM3UlUB76oZwgdKKVHfEiJLEr1qcMN6VcqmqcCYJZrcVhSdFJ0BhrRfVtrXeBsMoxp qRH2fe7yNlIp5TWKyDcWz0pVFo8bOh4kSlKlJMH7QSLrc293Fzm/gd94aQmtsIS7q0xwbrvk53LJ x2+/WXLpOnT/3r5Zx9+9W8PbnzQcH2tuihO4jYer++45WGbm+QsFV/GBKTus+vCXP6vizedyrljg xk4Lq9tdB7x/7/USpss+Wp24bDKtNvF2+AzavIYVTjgtaAGv3GCEWx5FFD6pPMV6YkrOuEXRTaae KDPC4j5S1sm0nnGKrBB/DNfWGhjX9SS8FpWQDg4Wziy30R6eqqotSUqMzXqwGBtfLpeYA8BB5kS1 LFt+QWWILZ3Bhq+TIj9eeJMlkclSEjmNYpM3bYiVuIg91WMUq0odyN2Qz2ZzFuVbD1LASWXajzci kQk7LH6h6hiKNuVyBdxdaWN9v+ZyAM/OBa4G1uJ0gI2dLs7Op93r5n3fHZ5662Ebtx62nKV17Syw OM10niKKOR8//6jmiKVXz2acK5kCd2S42u1XljMuD/HeWtclQ795o+AU28JU7G7YzUWh5GFdQ5nz SaVtsyiSuOYga8viUcO6VzbhXkna4xY+B1NaxD2yeJwie8Jvxi1yszIHwa1xXVPKdpxiLSJLpJaS 0ryStcrNzWbKCOvSutPmLu/KEUdFOrPaTsQzWyHUHjIg8NHungKetTurQ8T7UJa4JqUt4KdGS1mN y8S3ZDfVAtIkS+YmSvkIm5BLLLrCoHCt+CuDFmBSWalUSS6Xx3615U59LuQ8VBoRHqzzfMEszs6l 8Wijg1/daaLViROZ//DbZaeQvvt6yVVj2N2rY2W9hXIx7bCpwPecZTU3mcLFRQ64j06YckTScimF sMp2elieC/Dx3SZevBQf/cXvxRtK0yVVr25HSEVA7hhzWaceafGqgqbG1faN6DA2siiirnUlVCvK 9rU2TxvqPunGNozIdepHGhUfT0e+n8a9x61YugdKZNy8OK1zVTpVtVrNDRvxs+9J/yjYpz7V+vsC cVTWjy7Gmyp6qC9oB7PMeBG/9NCKNiVJapbBrnIz1uUUj4OiiMs4RJ2i5xDYKGtJHCqrmBThSGJS FkCm8KeiI/3Iobqe3BRFUficclMZoWO98Uq9i9KE57ApunRbu100WyF29ntOgbFG1rn5NP7r35nC zz6s47XreXcM/fauh0odSHltd9DqtbNp3GfNrCjEbpXgOpnydAM97NdCrGx2nfU27TCwLvKZNrJp z0UeeYBOswN8dLeNfCaPcjZEyut/jH0/UfhaO6JlUwuYlSi4Y7MgbN0t9bFC5vpdbpE9akuu4Dh4 fkeJXXA2C0JzyQatxk2ziOdQB55HS+Tk11P7x9lOpS9pjitoJwNElqk9LUfUGPWfZRqofcqacQpL ibw2dUK/6yhuW3fauowizyn1Qo22ybBa5LLk+FmVqNEE5/2kMI9SVjbca8V+T/8X8C9f2lpCFnsQ 70yWlTVhtdgUqaCICCulLndQ7oANd2tAuPvafogXFykHAaqNOjpRB+fP5FFYSuG92w1sV3oOEKcS o9VEugKVy/Isq0JEjqKwOENLpogHK9so50MszfguSri1F2FzlxFBD2vbbSzMBNirUonFx4ERu5qf CrC63XHX5u9M/dmrevjoXoTf/VoJM8UU6tUYQzjOhBWfT/2kCrXWMunHzxGeov7m/7VTWyUh90/j KPdyHIc4HEdktfOn8kz1XLLkx3/PkKbC2K43TtxPz62zRXWIhda5clK1TmRR2yqoMhxklXP8bYqb ezGHzka65M4JPFNSLF05umtWM2uBU5QWk4wwaSdUNEUi5WWPyxrGsrKugpTsoJfNhrcEQ8sPImYm bMumLDwxQQ+sI31GC5IDwueVm6h0CvWljnfiIElRqq6R3U1KxQLSqe34OKpGD6WcjxuXcri/2sZk KXAMdyqcxxsd/MmP9/Hq9ZxTXJOllIvspYMQv7q1i63tKtKB77hZzD2cm07jxqUAP3w7pkdMTvg4 t5jG5TMZpJmqEwJ/+24NH3zWxEefM8k6RLNNKysmpLKgYNhtnsjitYRhm5olxa3fVTdJO67GjnNQ 7mOSemNLsgxLuxmnCGPRYlRbTkthjdvV9Ew/jiMoIj2hLAqtCYHmxDaTxhFFwLo8NYsba3MS5uUM JDVeCsVWE7Tujxa3HpQi60piGa8SWS/WTNbD2bPOhu1kTm4C6bT+KP0Uld5ne3l9KRzVcJfSoMLR cUi8Jl8UWkOq7qgoalzgj+c1xp0ui4ksZPnY/JwirUoWlhWpeyexiHjH6cILQsdsJweLCoanQVOP E8OaXGeStI9GOz6sotmKMD/tOzzrzsMGLi4X8dc/30Wl3XEUCabukGvFE54r9biEMkmn5H0xcfrB ettVImXVB9Z8T/seXr6ac2C973uYn/KB8KnFcxLCrxawKrHqPZUe0ebB+zC6zD7kAtIRUHbha2wt zvFViXLjhLkp4mxL04xL5B2kxxDVloh6NI4ggfpBGzh/F1bLsbQVLqzFZOeVWPCCE+TlWBfRcdCS N7dgpsBP7SQx4/aLLHg1UJFGlUrli++TX6FQt8q6KMnRVkQYpoOpCHSdZLSy3zXk0qr8Ldtnz1sT zsRnExmQorLN2hXYsbxWjNmlHJ1AUTF9XiQ3gYUK46oPuQD7RRH5+RsXM2j20ljZ7OCdmw1n4VAZ kdg5Px0415BKisD87/1GGYsz8bDxlB0q0DPzJbRbDfTQwo0LZbx0Je+UFQ9RLRd83H7UdjhYsUAT PXQpPm8+zwCKh9WtNh5vEAMLsTRLJQB0WozwPi25w7EU5jCKtcW+4AYg6ozcZbnH6gebn2j7ykYs xcf5qhUWRXWkqGSVsKvFNk5yLEWEUW9M15QhIYV7ErfQVv/gnLFnOCjVRpCLvA+58uwnWV7y1oRx q21WWX+hldZCUfkVYQPxFxTajz/HG4sZrTo39pAJaVndVPlBAtuHnfy87tzc3JME60ELPyk6JVrf SVZjVOE/aXO9BOrKVFZy6NOiZ09r9Vi8S3lSNi+Tn1OEsV8b3U6NFOqtyB2kmk57WJoNHJVhY7fr GOukH7S7kfs/I4YbOx3sVph2A3zjpSLWd9roIodup4Y7D/YBL+WOuGf3Mn+Q1+lFQDbwUJ5JO/eP BNWpQgoZ4gY9YHOvi539lqt+SiVoI3jatGz+5iiuoYiVshiUjiHqi6JKwiusWFzU0iK+SqUlt5aW obwN1ZbTcfHjklE3i0EizpwUrj3a7zgiy4rXoTEhCEHjqfUg8qg9U/SJm3fQd7byB9eZTsqyeukL s0IRMvmVYqxq4cqaopWlhlCEUShiYk9zlbISwGpvPoxoUo5Sh0hKxB5wYb+vvye5O8n6Qao4KhBd Lq7+b8vaSFmLu6W8xX6T4amiy2CGUa4sLamUqyiay3juQApaSVRWVDJkrvPFagzdEDi/EB/zRfpD IV9AIcOKpSw9U0E6mMTMZNq5fKQq0M3slnzkXIqH45I6YXRxdspHq+vhvVstvHQli8lSGsUM++Dp AZdWSRx34QhIlZUkd4o/xd7mXLMHtPa7h03ROM1k52HFRpoVGZMS5lyxCsu6NscV9ZU3ZuUsL0lK x5Z7GaZ/5drbIIjoT+JjUhmyL3QakKAAfV4Jzzb4JctKSlpr6skhFHaBStFocqlBFty0RENb/sFK soOHVVS6hyatFoyNuGmXphw1iEeZuvy7Sq3Y+6kvbN1sTUTtAvq8DUToJRfH1o/qJ678St5Hme3c 91Br8FqswZ7ChaUUHm92cX+NJWYYkWIqTQqrmxGW5gKXGM2Um3KRfZV18aOVtQpq9QbWtnzkMkU8 3uxgc7frSKPxM0W4sJR2oD0To7udEOVigHrbw9+83cLkBLCy3cXyLFxZZT8VT6AnwGfku9LLTMYt 5UdbQOpjq8REKqbrrPFV1EgKT9kT/cqlfFXCRUbsk26zolrCsvpZh8cVG/zxxqywhOsKprEYmS0K oPmeXM+CU9Q+jqGMF/4uErgUj0214e/azBXskjKzxlJynAM2VCViFIFTSFHKSJaXGipTTg9ilYLM fzb0uJENXtceX6TsbwonhA6wkFsgesFJdx8pH+uq6h62/IWUtli8/IyinAKIxeCVpXnU6SC8xs5+ A5VmhK2ah829yAHrPKOQj0TAvNeLHAZFAP392018vtJCNpN3lhdxLvKy3v20gXurAXrIotmq4Z2P tvBotYbLF8qYn4qTqBdm0u4swxev5BCx/9x44sCCc/nRLs+QFhsPsHj9OhwAzzFxprxzdTLYrNKi DPHixdhVHIfy0AIQvcEmylpqjcZg3JjOqKKAFceZrqG1SOXuStmP2tbkRnoa7bcZKNZNfwJ2J6qa yHrSeElHCPdVm/V3KTWV2+ZY01CwZyYKhjpMbwRskLAJ4RS8KC8m1F9gogVebViS74tiT8VCZaXd cFgRmXJhYeGJ68drCUdjm/hAMjHF3VJbR2ECa0HIirTWU7JuVnJxWLCf/aTjj/TM7I/Dznm0kmPV hKkUMi4SyCoMIf70b/fcGYO9MHJ4VRh6uHEhh24YH2dPpUJqAikOZL2zpAx/zxcKuHyuiLDXxJ/9 aA3TpQ4aNab5xJUadvZDPNrs4MYF3+FkfiqNhxtdfHS36e73/p0G/uAbZWfh8XPkaDF6yOfp7jdQ 3U2hizzm5kuYn4cD08eVmWDdaWVNyGpRJE4F4mz/WwvgpMphFEkehCLKBdeFQOdR26TFLeslcwr8 LnkZwpi0Hrjxau0lCbMcdx0YrHHj84vZLoxMLr7yMHlNW7lFATp5UEfpDFfATwuXoo6WhWUtCvnq wl70AOJf8RqiKRxHWck0VD6jOkf8DfnD9ngwWVejRmPEylV6gHbJZL6Wtab6iXxvLTQlAh8nCTad TuHhZgepTIi3ni84U+f/+em+UzBkvpNXxQghE5W//VrRge1UNpQ7j9qODErFRWY8qQtp1rjys0jn pvDZaojFqR4erey5+leXzpYwP5VyJ+08XI/L2dBN5PV2Kj13f+Yd7tVCh5vx/iSxbu36WN/mIa0B XlvOuMhlLhPvmpy8ghFOam1xPLSAbKa/IllJF188rdMo7XIcEc9Obq6sb4HRJ3EH+ZJiaBx4HCdh 9vcLWug+MlA0n5VPrPM3RelRnXVlM0gJiQiq8dD60N9FROa1WeFCemNYyMjVw1KoWNiRSJGKIEhJ 2chePwDZlk0+bgf2S2eQa6hJ269UzChpEFJWyh5XhETkxONcz7ZHSv+4GfteKu1A8XLZdyVliFdR aTBlhpaU34Ur4sdSMzwYtdaKwFGgq8jxiCuTMk2n5/7PNJ6NXabYUOF6LgrJIoGkMHQZes6VUG/4 KObjkjO0onhBRgpvXMi6e95f6xwoP8+dj8jxXV7Io1zwHObGSqkU0UTYn5orJxHL59EuLGtLC0Tj ZJWDVVb6qZSy49RhO4loM7V4zai8LJtvafNfQ0MPsFaP7qe1rGBRv7ks5WD7zEI8mr8qEyQlKStI +cB6Pl2TG5eUlEjlcjPpLguTstHC4/LAAmlSS64UCKaOkIk7qOOlrEYtridAlRNVETWKrDuKjRxp 8EaJFCWVlSV5nkTUnlHy2li/3Ut1sFehMooVRDHH5GNOIrp6ETIBlVGEZquHje0W0iniainHxXIp PhkPE3mgmOWYkaLA6GAPG7shPg3JA+1iYYoHtgJTE2n4QdpZSTM9OGCeTHpaaVRaxMsebvCsw7RL jqawaun0hI8g9cU5IKzD4kwnEQU2uIuLkmI5c7I2LDBv+1oLUPCGYAzt9KcdXRTPTP0gSMPO5WFE 1mqyzb45FkxGhuUy2gCFihXEf4qtYYrWtpQTxXITte7lxVhXUeMgDpraaqPHUqb2pGrrwamNo1jj rh6WPfVY7mGyvMthF+d3ZDqq8YcpuKRo55S1pwnZz4o7ich91X2UKjMOkR9/2M42SHgcve+1sFtt orYTYWM3wsIk28tJE8H3OMARJvK+q+jAswiJnk+XiXF56HTD2HLKR7jzqIHHGz1X+4rllj+5z4kN LE3FJ0VfO5/DhTNFTE34zrXc3Os9iUDyvdsPWo4Vn8vE+Ytk3n/xOZ8+l80btSlPJxXOhaQ7paOr lCEhN0NFIWVp66cWisLkScV2WmIzP1RuRsRlezLTURKvof6f9U1QwpIvky6elEJ80vdTrI9iLaMk XcWSO3U/uXr6DsVG/+RlKKquYJz4irLojktrSkqgI7J0Y1se5jgL1SL7Mo2HTbmxKSAE7MVIH+cE E1uf1xd4mzzG6CSisGy/EjRHCSsvLM0AS3Np1Dp5vHe7hWa7hybZ6fmY6Z5Nx8X2fvFx3VVduLyU clUXGu0UygWg2+nhlat5/PJmB3/xDw3HdGetq2637Uosz5ZiYipZ7VfO9xzutd8K8cuP63iw1kY+ l3L0B4L6xLPItp8ofvk57ILQuMu6FP43jrw3bS7iAcq10oaq7AS7USjvU9wiRaWEfSXH5STcqEEi 7p2O2eJPBazYTuXBHjZHhmHyewZHTl6Lv5NqoTXNj6mfbF04e86CFIlwYRke9tARbe6ytKTk7EtK SSlqbCOPAUym7I0qroAfb+yiQAcEyJNMOBsmHUZhKRLHKAIflseCjeruDRLtcnQzOGAqcTvOiapE zVEqBpBZzrVDb5rHzLPaAqsrnFug2Q3HUs/n02h2UnjpSgrfeW0CtUYXH95t4t5KA+9+2nRK78Ur RafgaCHxgv/mv13E//S/rLqDVNvtHh6sNfH2JxUUSxOuljuxqmyG5x3mHJue7uBr11hJwnNlllNH LBhby0oWK/9PLGOcVId+fByKrDBx3QRfCPeRckjyh/RTC3EQPeIkAR25U2K/2/mnFLNB15ZiPonF mjpYP/Yati9UqUQbgKUIie/IFw0awScC/jm+OlDZ4oZShKpcqyqh46RkBKQRqIzHuBI37SGsh4nY 65ZcKZqFOvQkop1YFQu5Q5zGyb2y3vjcVIbHnWicxKxPxfLImUIO33ylgJv3W7h2LouH6213gg7L xjA1x81DD5idSuNSB2i1Paesnr+Yc7QG1s9a3+66AyjevtlwFIlHlZ5z79L5DPaq1IBVtNoTuHI2 6w5bFXbFsjYs6vfchRwuLGbcNQ4TTU7trMon5e9KqxiHDFJ+Wtg2CX9Q6pbEhs+p8ERHGDQnjqu0 pAhFb+C9OOdkMelYNRvyT4qI2uPG27w+JZnkVtryLvJ4NKaWS6iMD20iye9Jh6iwwajpXIMkUIkX ZUmf9OIyJw9TWDIldfqrfWhLHD0pcCsMQZHP06qZJFda4d3jXt+Z8BMZbFd7CH1iTbxGzLWq1EKn UEht4O+kNbjaWJm4uiiZ8D99r+ZOxnnteg4vXspiZ7/rjqonPvVPvlHG3ZWWizC22x4a7TbuP67i rZcncH4pjULOd4RRAu+kN1Bx1T6tO+4XFWQ+S/MfrnoEeWBk1dvHs5aW3DLVhedkHUc1gGHwLt6H c1nEZ4vJJPlz4jUJu7UnyNjPWXxumDGVslIETJuxlIKS5BVpkwJLKqYk5eC0xBsQXbX3losnvqLq 1tlkdLmKwgyFgcvSHKe4mSY0315cE1GNO86ND1N6Mtc1oEpIlihKOCp+JffP8lXkGowLFLaiwZR5 LF/9OFGhGJAl7hdhq9LDZ49b7uxBAu2LM35craFNQL3tlNX8QVljVhXl6TfEqKhI6N5dPZt1VtWd R604cljwsVPpuogfogz2KinUGk14YMoOD6uIkE3HRfz401EWMp6rHEFeFrEwTt2t/Z4rQ0NyKa/J z9j2a7eW0qLVomjVabG0KVKMqnluT7Lph11pTktR2WPsBNArqnhchWEVIftBREqG9OVSsX3cpGV9 SGnZez0rPplnUuAsAbcfNqtcYOHbwruEx0mHnEZ5nb60BikZy3HSoKmk6UkbInyLOzBdBpUZsRPp JG6gMA+lxmjCHKU4hgVfLf6hvrC5l8lQr00bGnRtTZJWu+fcNVpHjzeYU9jB5TNZB8TnMynHZG+0 eni4wVrzjCymXM0rnq7zr35/ylEOaG2RAkGFxqRpKqH6dgefPWrjO68zMpjB2x+30el5WN1soh16 mC5nHH7FR6MyYtXSy8tppzAfbXSdQuSpOvExYaGzvIiJEQOT2OdL4jej8PKOK7ZChqKVHHdlKfQr dS0io5SIKCmCEaTMhlUcSuMSBiyGOEVVVXUfYUf2BHP9TYrzWSV3RybKN+iZRDFR3won1PyWN3OS umnDSsBOs6VQ5NPLr5evP46dUtfXwZs6gJLXtdUeRhVhB7weTzjpB6baZG27s1D6KZakktJPm36h qoqcoHw+yz3R7imlmbz3k//zKHK/g/OLU/ju6wX84kPWFIKzlqp1Vm3gcVwh3r1Zw16lh2LBd39j ORgmQdN9u7saJ0nzmHpWcfjh2xV8/80JdHt13HnYcuD9u5/U8eKFJs6fKeHMvO8OvDi/yKPtea8s bt2rod6IMFXysDibd3WzyAXr9jynANlkklQHja+qFdhw+bMUG0mUIlBQQKJSQ8nqr3r/uMLvikco S0/cPosTaW4r0CSumPBVRVktr+o0JTKcK7tW9D71Aq1DWZxyt2VFS+naaPFpS8ConNw9NooLXTsD G6z8vXFoT0UdlHrBQVKteO1Ko1INLHGRClGhbeua8TPcLTQxRHa1Lo0GTm6dLAT55Jp08/PzT0K/ wir0XWEpmgzW3dZur+vqd1ZFyGdChH4PhSzw7dcncOthx5Uw5jWJaxXzPt66kcbPP6o7BcIE5aWp tCt1/Oq1nAPu13d6zlK6fj6Dzx5l8E+/NeGsJOYIfvR50ym9+XKI3//GHBZmcsik+exxkjXL0EQp 1pRvY20nxNl5YK/SRS4TuvLL5IHFSujpzpzk8Ng0r2GDL6chbI/qr+lcTZvKJWzJKgZtLNo8D5uH 1oXiT1lKwmWF6wwqh6PIPOeMTpOisI1aI6cpodlUkrmZytOlF6QoLNer1oyIwsoZflbK6knys+j8 nGBspKIA+jmOSSeejhSSQE4xaSknAcTlZ6uki2Xx2kgeFZZNwRH5kCJLU7ullB3/rjwq7cJyGQRC ypVVxIxi0320kPVeMveNzHPPI/cKuP2oh6WZtMOU+CJ+RTyJwPiFxTSeO59zJWDiI7v4PeCv/6GK aj10xfr4O1NqeKQ9I4WdXuRyApkbyO/wNJ0Pbu3j/BmgG5ItHx9fT1D/6y8V8NpzJXx8t4V7K21s 7/Wci/i1Fw4sEdPn9lkplpTI/hbHj7vwVyEaS2FL3IxtvS1xBYVv2uwOZXv0s/q1ketzdlOSq/Rk XA/mkDCe5OlBckkF1lMJJI83Oy3x+oD7tmoC20TlK4oCRRYo9YS8mWdpRQdskAC15EES4yodQqES 0S5HUUdZhvRJHtymMmh34vWESSgCStpBEuC0n7dhcikU7UAaHBsVE29FZnUSvLTKOYln2XZ0Q/Ks ui5SyBOeeaoNyZuOcT6Zcm7YylbbuXskfVIr0SL6yXs1h1tRkTGNhkA8iaA8nJUEULqK9OSLuZQ7 gGKymEba8/A3v9jEt9/wMD9ThEdXPc3r+jgzywTnFNYne65M8369h5v3I5yZy7jTolmqmYdYMM/R ull6Llt59auyriQaC7VFJzbL0tJnZE0rumUpNvqMfiq3zpZWkVVi57REhEvhPMlN2c4Ffk6gvaJv p4VleX3moPI4FTSQx2NdWQqfnRv/IH7caUqgxabBHffpHBRVQlCibFLGoaGtayJ3xVqIUjyq8UNJ sm+1GyY5YHa3tCJzWMC7Pe6sX/sOA/9Zdnl+OoN0LsCnD3vx0Vu78ViwaB6VxeXlrFM8VFTEr1a2 uq76KGu0E7PikWCMHn58N8Qn91r4Z98qY3YyPiqMXC3mCxIL63U9/P17W7iwWIGHEOlMFpl0Gi9f YYDCc8puvxqnBbkzERcCrGx1HOWB3UVQf3byaelk9bvcDEXdBCNYl/GrErmIotG4fjUQgA3daxzt XLVYlJ5FScjWzUymZfFvnHOysBQYsMEZ3UsBKSkNymkpLa8PtitlaSkigkP0HfaPvLCvYkxdtYbT vrEOaDhNv1w1u7RLyKqicIKqFKuVwyozHKVEZY1qsspClWtx3NA0Kyucm/dxJpVBo9PDtbMZp3R4 wg25WGSf02Kqu5pWXVSbMe2BFhTfp9VD7hUPSt3e77ooH60muoKkIJAMSgvq48+biNJ5lEpFR1Wo NvbAw5N4kAVdv/Wd+LRp5p9xWuSzKXfUWL0ZOUXGE6RZc55RQ77SPvsxfgZtftYlFm3gNDbCUYMy NqFaLp1cduW0yhKjWCstmcOnDU+uk90QKcIpVZpJx55JmSt4w78LL5Jy5WeV5nJaxQqj8Lx1BgAA IABJREFUg2fQ/eTmykq2kBB/p2UlC+yrkOC0byzS5igF9o4jwpTY6SLuEShUPlM/GSWKpQHWoQqy GpWYqwMrjsuQdq5ru4OeK0kcuXIydAuphOgO5shG3+Vn4nIw85MBLizw8AqeJxjhhYux1dAL27iy nMXCdNox4gnE0zIil4vVQ1+5lnNpN9cvxmf+vXOL9JIaXr7Kag3A0jzB6MjhX5eXY74XWfaMFvLg 1ZiDlXJKkYqUaUB5n279F0nDiipp0v86KCyByZYZr3kp4jTbztw3HaJgn8nWbRLfSFgpx11zwbqQ qt7Ba8nqt5adlKX6SK4YP69j6HhdAfGpMXO0pKxULVU5gLwX31NOJJW4Cip+ldbyqYYiZCYflew5 rntZLpByySw58KSiiSW+jXg+Al1PQvtgqRiC4lu1BnYqvmOvX1zO4sXLOaccyIGiS1hr9J6UMRZZ tNGM8H/8YAczE5zQQLHACGLOkUWZLE0FyBruz13MuYRp0iD+3X/cxvou8NlqgGqNiqmFwNvEg7UJ vPrcFN54Lu8wsQdrHfzde1UH3LNcDZXm3cct52YuzaaxZGB4y3pWn4go/FUB70mR8hDZUbgWNxtb f1zFHf8/9t6rR5IzyxI8Lsy1e2iVkVoLarK0aDGiZ6Z3toFFA7vAPu37/p992McFBtjGDnYa6J2e 6amq6aouVhWryKRMplaRoXW4Nncz88W5Fifro3dEZEQySWYm4yMCkQwXZm5uduzec889F87aK90X 1yPg0fnuGgnI40tg6arsCRDSZfG30m23vay0PXbtWbXtqCjBUXy6+Qqs5JTBpRT1WXLazx1g6c7j Vma+yuUKONlILXBRQ7J0Lk8LXHwvRW98D81cU5qrBlcul0vb790wmUpjo9bDzFIb40ODFtHQ7oVp 3yd3IvzhesssY8qFJN65XMBIJWVqdPYcUsh5ZJsspx0MW3aYvv3tP23hysm4L5CC0/evNy19vHav bUJTPo+EPZ1EK5UeykWO/2qgXuOgiwQ2ahlzhmAl0kwBNwLcn+9Y9EfSfWm9awNZTQq/YwtMF812 1zy8npclh1lJdygn0ACFfl+p/SzXsK6/NUcFGm5T8xZVvOH5ygiGE6h4Lg0MVOw3z1GXMxL3Kf7L 354orhvBQQWu/doxiUI1mFjHQWmgG01+1QLgbxSw1FO2H6X5s1guf6IwX/wEfxjSKj11VcX7XSqP u4JDkcu6Q6oSKZ7jIFxWNsMhETn4YQ/L1cgwgCJQAgYjKr7FAsd5Hc2ayJPAtZWLbwKMsuh3tLIZ opgLMTEc9x6yf5DjwMhnEWyYwt2d7diQi+GB2OL4xEQKl47HIIcep+VEWFht4bcfreDoZBFnjlWM syLpz/SQDdlMVZmmcrQ9vU+X12nlErcBkTd7XH31MlicZRNsE8Px9fCNL0VVLrcplfbTXJC68Bml aIkL41KK6Eac4rC43RjEYqCQ8Nh1AFbVUcAUOMOH9TlY+T4o5aKozXWFcOVF6lKQGPZ5AKuvDLAk vnNHVO9nKSp5mmhMmir1r4lQFQ+hiiHvdlIj7zdVFPfAk0d3wf5tK4R3Fd5uyXxfAF9KY7PRxacP urh6q2URkw2g6MHSs3ountpsswYboVULebIbGd8m0HCiTseGrbK6x8ogbY6DKGEaLSrhKYvg3zmi a2mta0A0NZq06uPCKlBtUT4BrG62TZ9VzCXgB2msbWWRzyYwOhgPds1ttwtRjMrPOjWSNhB9HG4h YRY5WzUfXb8LlL7Z6Tb97VuiDSQ5eFqOTVU0tyKqv/c/TxVC16deERcfk3xGNzlFNxrwUCgUHmvc lEGQ45Kz6H6uG31+ZSMqiOiaUX+ghNf9rXsvHWCp4sEDLNJVf99t6cLWz06OnU9Kr1zBqE4gmbyp lK3x8RLFiU94UvXSNYjbTdAnkNLdz42y9pMa8vn1VojltRYyXsXIdjoyUKXOiIovP3M0Y5W8337q Y3YpFoGyl5DgU2/2zISPFURGVAQPyg9YRWy12dsXD7Jg6a9SoPlfArceUpAa2IivUh6o1bu4+6iN eovi0gTWqz4eLKyalOHi6QF875UhE7ayT5EpIcn/33zaNv95Aio1Ws1WF0EYmQvqo/kqelEblQJP 9ucDsPpB5qBTyHdabpvVbss1uXTPBQGHQEoN2670xp3Annbmg8ppRUNcXe/3nc43fW61A6mK63Z8 KCtw226eF7D6SgBLwEGQ0F3AHdTav5Qvu/1IrjDT/dmpxUGLr3NFgfwSOJVDE3gV9fFLlt6EX7Zm qe0FKHwvd7/2GxnqxNGdbK9t8LGlNR/3Z+t4541Js4ohP0UuammN7TEJvHE+j7WtAIOlFDpdRj+U GHh4MN/Cp3c7RtLX0gl7TjqVtoESw+UkfnW3gVIO+NGrOYvO/stvaxisUMIQYqMe4vMHsbPD+FAK jYaPKOxgve5hq5mCl+zixFiAN897mBgawsJGwlLPbuBb2mmAmiK4sXmbaY6PeqOFlh8g3WtipBLF QtfncIlz+ia2q6Vzkd8/aQs1bcuAQLyrhMk7OYvyPJYkwe2kcEWsiuIYkak5XdeD9FU6j9Xitl/H 4BcasNzKmexV90qJlG7pTkeSXs9Xni+UV46/E2j1q5pV1XCtX/Q8eWOpBeFJpn5PihJdfY97d9QJ oxB+Lz7LKqq5JPJZmEiTw1E5D5CDU6/dbxvRnfigbmlgvE8hRgZ6GB7I4NhUznRZr5z2UG/FTdHU ZS2tdbBZjxui16uRNTkPljwy/Cjm0lirdkzywIiM0dmJyQw+vEXATyCTpkMD0Ao9tMI8bjxoIZPd QCabRz7nGZ/FKI56sZ+9X0e7k8apCSDhNZEtNjB6rIJmg1N6vn5AeBGX0j9xRgQiVez6+zbdxefw vOLrSKBzSbyrwhCXpAsaTuEOX+G14JoYSsn/PK5nDliKclTV0AHdbUkRLdJRJKVQXgDD1Q8qrjKf B9id0qznSTcixbAGxbo9XNzOXqSla6W701J02C8a1OcTT/Ck4zA66Jkve6qQwXvXGsZLMTV8+2Ie r5zOW1WOo7luPGzj0gnPzPoS272Bi2ucruNbuhf3Hcaq9OsP2iCFTxnCRo32MB28eb5golE6iia2 J+JUCik8XOyaLfJqK4kBa3gm35VEJyBxH2KzHuJoKfaSpzcWK4zsXaQqnsDFoa3VrTay+Rwq5SI6 Pg38dv3Ih2uHpazEbazud5vYSVKhnlzXQM91YuF5r/5YvU4/vA7U3Kyhps9TGviVAZabd7ujjvbS jagCop4sV8ymqEWpYH9apS/TnZ0o+YK+bJWd3Y70/tYJt72ifym9VGVwp6Xo7kkCVX2+nbYTcxIe SsUsWlEPM4tdGzrBpmSS3RwOwfSP/z8xnDYQWd7kYz1s1ntmj3x3rmspGjdDNwfqtDiklfqsiyez RsRTR/XTN0umr7r1sI2tfNLeb3o8g3YnMlL9w1stpJM9XDiWNueHeoPpH4dYxBEigY5pHiuF3NbU aFxFLOR7aDfZUMzm8S/vn/ZtXQIdN6raKzpPOrMxlWXwfFcl0HUTFo/Vf87zGpFs55tIk7+xCEup mKpj+xVUiixXOVcXP4FIymQXsNwKnAhUeba7NrkiIwVSboVGd5+9/LzdqG0vQHIVzjstlard17jb sTS2zSgmQiPoxuZ8xeRjCQGrhQQjpnDlQsJM9QhATP0oWWA0ZKDnJS1iSqfoYdWz/kAOVyUpfn/e t9ezpWZ8OI2fvFmy/kJyYZQ5kIf67G4LOS80b67BInBkCFgBtWxpnDmat9FijOBIvDNSoyqefYxs 4eFz2Je4Ve8g0SQ/FLf3cF8P19MtncP7kcYk+gwFXPdPtzdQwCZuVnSFCPznNbp65oAlhbCGSLgj xHaLYNyLWFU8tUW4TqfuQdQFruqI7j6ubYubSvYLGvVayRt2SuV0J2L0Jg3Mbkvbd2UN/au/3K3P IyCLubwu1jfbWGt3LNWjYJOiTzomUD9VawSmcJ8aTWF0MI3BEit1sFTNxnKxMjjoGWDRiuaTOy38 yZucZAMDGQpPyW+RlKf7wv/0pwMGWPfmY56Lo+5vzTSRT/vwUiGq9Qi1Rtzj2PCTBn7kr9jjWG1E FvmtbMTgxffPZxKot7PwIyAZFuB3mqBELPnVjwN8KUFqv0DVv3TuKnhQddvVDYpo1w3bnYHwPK9n fioJnKR5kp6jP+3TFyF/KRHlJAaHh4cfgwBBh1U8N41TS4Ems+igu5HUbhET7zpyOZWNbT83pf3X cAPm93v5E7n7sNsJJiCTkDUM49cUCrEZmlVX82mkkvFg05NH8mj7ETpBbEt8b65tg1ApPyDhnc/G wNxoB0aYmy8W4udzOyOVuN+PYLK4GkdVdG64dDJnIFYpcltAOhnzXL/9tIGZxQ66fgNjwz20umlU WzmkMgX8+O0Sfn112VK9oxMZfPdywSQMjOBmlrvWa8gJ1Js1piYe8tkckukUgiiNFLrwvuCidbie tNypNbudy08CK7YZqStDLUMaxebe8MW9sn/yeej3fNL6yu59AhUit3qSXLGca02rXJ1ARQfU1dXV x2mgiHjX7ZPvSbBSH5hkFHu1AOmLFMgx+tutICCFL5/PNp+93lfgpsrObs9RuiuAdiuJj59HCjwB HBlNWRo4OpTG5/d9LKx2kM3Axn0dn8zi8wdd3JoJzN6Y1USmZkz15pY7FiGxFYZve2emaUD3J2+U TRJB+716K8BGLeYwGMVRErG21cGJyTTeuZjB7z7awtxKDyFSqJQ9zK8C/8f/W8N3LxZw494WqjUf J6crmJ4oIZVO4gevFIy4ZxvR9Ch1QgRTkvkJrK4WUa3GBPDh2v8SzUHA2Y9OsP88o+peZpY8x3l9 iUwXQS8Oi+ekGpuf51RQ6ysP1lXxU3lV/3YnBivy0Mw4Ps6oRr1XBD7qRwgy/DIFJnx8dHT0sc5r N1DR3USDLAmgu8kj9FyJTp/UBylyVLqZ3VJLKav3CvPbHarDE+iGoVkj0+Yl58Hsjum+8IurDbx1 sYDyI984KVb0mPaxskjBKC1gUhwK0I2swjhQ9uzfk6NJ61FkFMRU8pdXm2i0eaPo2TaoVu8EAY6N 9qwvsRXksNhIIehFKOS5/Sz+6s9GcH+2hvVaG/6DdWxsNQ24SqWcFQeYErIth7MOxVnlcnQciFuW Dtf+l3pf3d5DlyNN7CGvkdhT1XoJUXnOi4DX9SOu+Xnnrdz1tbALOjA80NJcaRSUIhSBhCQIEoAq NeNdQOVd1w/7SaPh9d4i7/m6vdwj5KOlk+ZJ7Q4qQfeDlWs/otLxkziJfI58Wg4377bNCZTSBE7M UUVwoJjGsXHP7GTYv0fSndU6po7sN6QEgVEaOSy2+VSbHDufxonJrE3A8dI9TA5njPPiSDFW+zbq EZY2QhOnrm+14HcAv8viQqzL+sGrRSsA/P5zKtrzlqoi6qLR9PH53Q10whQSvSy6QWws6BLsrU4K rQ5vRixaHDLv+10aVyYKxW3ITuzCA7vDW3VNSN7A/9cwV/U+cqnPV+6hL8L6WgBLfXzigXiAlMJJ P6JJMyKhdacQt+X2W/G1BDtXybvTUpVPYCUy/0kCUIHmfvsMVUZ2t6uQ222neNLiUFNW3NJJaqXy mBwJ0A3Z3ExlezwfcGaJjajxKHsCzpExD5v1IJ4MXUqZXxaBi7orDo0gWK1skl9L4vikh/HBNJpt H5PTKQOYY+MZI+FtHHkU4NGmh3wujVSasgj2GZKTovtD18Awn8tiaiSDYsHD4moTn32+jukj4+gG CbNUJnCy95H9inPLPTRqEXIptgMdAtZ+lmQ4rpW4VmKX89b18hIo6carSjjfs7/lR8CoJuoXYX0t gKUIR83IUn+rIijdiczOFE2px8p1fHCnRT9p6YsTZ7XXa9xJxXJcfNo+MlUCDzoQNp3qoZTvYXQA BhaFvGdVPBtNP5C2yIqOoSemaImcQiIZSxvoyjA8wBTRROzWmEzDPnpgkU9iVU/DV9drIW4/8jHt e6aoJ8B5qQiDxQhdPz7WV84UrAroeQlrgKZOi5Hee5/HxPx3Lhdw5VQOZ46l8PH1FWuQzmR5ocSG gWy4ZmrJCiaB7Ku1bnx5liLx/qxhJ75Ty+3qEFHP60dupVyuTEhZg7o/nhdzxecKsESsc6njnAdU 3tCub7RrzSFynu06uuNIJPekfN7dtrRYuy3um0Rz6uXaryWOVP26wykUP8jk5y/uLyPJDn57rYVS Pm0yBqZ937vi4advFE3USXcGtvHcmvExu9wyYeifv12yRmaCBXVVHCtP0z06K4wPhQZs73/eNLnD o+Uu/u43VRtKQTDMpjo4PpHE3fk8fvh6Bf/yO2WrVJLn4nYIQn/6Vgk/f7+G31+rGfn/Vz8u4zsX kxgayODyqTyGB/PGoRHgWH2kCp7c29pqDpubTEEORaRPWjyXyd3u198q3D5v5Uwisl4pnyueFtGu zg+e5/zNbOeQw9rl4MrcntU0Iv3CwoKBVnyh/nPjtMeCym3xJg+8qhm6E+0VwYiw3OvL15fOMrAs lQ/iLSQvbt7VyLXJk/tJ6epOy06sdAqpRGC81IOFll38Q+UsehEwOpAyecJ//6BuEgV6rXM7n95p 4def1DFS4aSdlDVH0+mBolM6jr51oWC81fs3mtaS88a5vAEYrWoqxQS2tnzMLHSR9kr43/961FI/ qurZdkPDvk/vtvDZ3TZmV8ibRSaX+OBmHQsrPo6NZi0FjXsL4/5CemT5bd9mICYToc1cPFx7L92c ybHul4pobJ+3GuJLEJKKXfpFaRhF3BOgWPmWvOebtjw+6PraJH1K+8RnucNNd1pKBfllqPVGB113 C4Idwc8dyaX3VC+VFPB7VVX4/gKrgw7K0H6qPCzB6tNEVzYDsZjBySNZpPNZvHYuhdXN0FTsjIQY XVHtzujl6HjGqnfUQpHT4jh6juia6MVCUsocaIVMjdXvrjUsJbx8ModTU7F7QsYrWjQ2UIjgIYWO n8Ols5VYk/VZDHLfu1wwzotpILH3lXLW0k9WKBk9eehiaow8iPRC8efoReQOm/Z9vEjpxje5eJ5T 1rOf6Krn6Bx1vimD0FgxVde5XN6WgCiLmRcpsvpGAEt8Dw+WAGy3JWkDv0A+X+JSlxdyx4O7gy74 3rzzcLlTeHezPHZN/p9GWczXEbSk1N8v/9W/DIwzscCW0c3Zo5yGE6dYTM24Z5x8w1OM/uqMfng8 2VJDAn1+rWvcEYlvgtZrZ3IWkXHwKg8Zvd856dlGzgOWbkZBiFw6QiJJEr6HW1cbRp6nknTJiFNC SiFYKfzx60XMLpF8ByaGUmg3e5gYiadH9y9JVYKATdmcbP1Uh+RbsWTJRDDZT1Te3S4OSQjKYy0f eHcup3vz5pKLimQNL2Kv59cGWOKm3HFc/QfM7ckT8a0vgL8VYek5AjPJJNx5eJqaI28hd+lL09Rf d8Dr0yylgK5LRf8E4P0sew8KS9MRSjlqqjgXUCOlYGJSunwy/eKhYxTFVhtunzbGJNoJZHwNAYLA RJTjaC6+pstCRgRMDMaVP7620+2gF4QIoyTmlzpmZ0PL5XS6a+8V7xctmWN/eaaifF9WJlNRF6VC JpZTbN+o+Vw1oS+v+7g1B0RBDycnY2eIw/XPv3Oe55LpPGlFzqwCaQ/lyiChqCIq3eRdc0yd9y8i WH2tgCULGaUJ/baruuDduX7KvfX3/knD0lMxL3cHwmrCrhsqa7lOENJlfRmwYjqmbUu7JTtlrv6o bS8AiwG7By/pY2okdhql2DOMYt4otnOJBZrkmAhMtEomCU8gImgRhMhjnR5iG0/SUrpWOx7HVc5n TOTJKiJTSXJgswsN1BssFqRRb8W6LqZ9bKper9IqmRXIFN46n7fx9Yy2GHVtVkN0/cAsb5qdLvxu 4nEkyMojI7bZtRTuzKfgJbgfsavpi5aCfNVLcpvdaIudwKrrFKU0T1BNzeqk4HmvHlUd8xc1DXTX 19qWqt4lrn7A0ogojRiSUb+U77stgY6iKpH0O02ZlqqXXJPuRvuRR+y11BeoEe38UdsQP4cryehv aN3JO4saplqja1FPNhua5QvBiCkZb4oESBrrUa7gpWKLl4mRNH7xfsPU5rSPIaCR/Obr2L5Dgp2g xkk7bHT+v3+2aVOjXz+bQ6PFPsAI5YqHgXICP3ljEH/3bhX35nx0gthOeXI4bZVHNliz8kh30nIl g3c/An7+h3UMDjAlpeVMrAtb3yLRDnv95EgGiV6E5a0uBst/tJs+XH+MRPcjUJZEp7WtSeR5q7/p Zq8ITdIc0iLKVvga3thf9GP/tQCWwlM1KJMvmpub+2dhqZHO5fJjxTu/RNnK7LUkPlVuLk9593Vu U6j24Wm5pi9WMWMAzmRi4ShPGlZh5FrBliLX2kaFBKWM/+w4eSlrZD55qoRsLoNy0d8elMqZdknc feSbAyntk1lJvDPrG5dFIvzhQseanflvDlhNsSOgkMKd2ZZxWSvFFG7M+AZs9I+fXe4gmwiNwB8f K2B8GKa5+tFrBQOqla0ApXzKHCP+7Q8r1jhN8COYzS238MNXi/ibn6/j4uks3rpYMVBkdfLEBI0F gUo+RAJpzCyRrO9hbCxpze0vKn/yrJca+8VD7bbE+25sbNj/ayCFgEv6QaWI4oj5ozY49dC+6Cvt GssdZLkOnE/qFeNFKimD1m49d1LfSi0u6+SdLGC0JCvgb/UgupGM+gP5pcn2xlWmP+1S03b/3ZH/ r+itfzKKerlUFdpJq2Ynod+DH0SW4s0sdfBoqWPpGqOk187Gx5H6qInhCFHYs6GpJL9JmJNwpzKd anlGT0wnmeLdnvXx20+bJkIlgH10YxOFrA+/m0Szu4krp3NIJfPmr8VIic3XdDwt5JMmNiXvxYGu fH8KVYcKWbxzsYBBs7SJXU05PYdN1TzyvD7ohJpIejg1zUg4tumJW63iydls+f42Lo3B2+u8dklz nrvhtjhUqZ47JJg3YjU3iybhtaDi0vNuG7PfleaHUvqyX+DiAVZVTcND91qqXogEVCvATmCp6Mrt p1I/3m5Lr9HMQDeyUooojy71Ej5NNbB/yfZ4pwhQY8cURalIII2Ma/DvTtaJkMJaPYWVVhsNv4uZ pcCiGjqBitM6czRl9i682JmmcWw9x3txiCp/yFOx+ZlpIUlyikcpeSCgENDIfzECy4+lsVkLML8e D5IgSFI6QQU8J+FwyASJdw5d5ePk0GgqSEV9tRGYgr5S9FDMxa1DTAHZx6jPG4ZMIz3UWqH1NSrt 5+/1WhKNTh2VfJz2f5sWzw1ed/tp/9LNWK9Lb/NUugGqP9dtZFYFXgp49bu+DCutBmSB1n4WLzwJ LHVg9lrukIbdnDmlLeGXI9LwSWpxvY++EL2324nuDqFQZPVlwUrb2M8kH3dbUtxLGS+Zh8St8fsk 0GyH6PQC9AwMgcEcI5d49iABh9EO3TyZ2hFIGPmQRGead2LSM3CjtIEpIvVXjHj4HBLmJMQ5XJXi 0kKKbT2MjLI4dZQeWTHvRTKfaSWrgYzwGG2dnc7GLTpZkuoRZhYDPHzUwZljRQxUMmbsxzRSn0nH hu+5sMb9ZlV42546mUG3V0DCS2JgIAbwF8Xe5Msu8U37UbQrM5D9d2pb0uMOPlXULjBz+2EFXi/T cbWcjmHkQXqKBChy6yTI7JUfy3GBS2lh/xclENCQCNdSuN+8TyGxvgyVaV0xnWsPK+5Idh1PuwQu atZ+mqnWbgrpFh4eu6Ymesh7ARL0ZUfCoiNW3ihLYPWu3Y2Hl5IEZ4pIAz5qtsgzMXUs5TumeKfk gb7w545njZhn1EV+iyBEP/eVDR+FVBtBmMbYcA6XT8UTnZnLsbpIop0RE4dNsI+Q2yOZz9SvkE2h 2Uohk+7h7LEchgay1jDN57oXSNOPI0I6mbIYwIoiIzACL5sehwZKGBqKx6eRn/k2EPKaZvMklxGB lfgpZSlcsjZWoKFhL7IGV8T6MkauaVkAH2SJ3FOkxffYS+IvtFc0thvZ7VY9BDiu86J4LlnRiB9y J9KIV1LVzp3t9mWXgEpC1acRmroXtNtz+EdiPmHRz+xGiI/uNXF0ImuN0AQlikOvnM5aQzRHxjNi IkiRdKcynf+msPPhQtcIdXJP1GadmPAsKrs717EI7caDNuaWqvjB5QTevlRGIpW3ydDsJyQYMroi GCb9yLzfue2F9QCnpzwj1unDdX+Wtso8HoEBF4dWuC1JHILxcME3W2buC7kweneRZ6OTAzmw4QHS BHHU0G778Y2vR6L+5VyS4pDPfZLHmqrZEojK5ri+/Tede5IKcWkAsRx1X8aVlmeOQvL9XIDuBcaD xKqYJtjutpTyua4IOy3l5krjBDT903EElnxckz5UHXTbdJ4FV6X9kth1v4rknZZ6vXRy7QR6vUTK Lty/+O4AkIj5I4III5jTR7LmpEBA4USbQjZpVjNHxzkrsGARFPkkOoByCOu7HzeM1qYf+198r2yA RXA5PuphsJRE1EtiYysw2QSjOA6s4Igxvvc7lwrmaEoTQAbft2Y6mF1uYnUrxMxCA9lEgOv3GhgZ KiGXjT+P3UDCHq4/bJu8gcNZy4UcFtfpRe/hFx/U7bPQU55gGn9HSWTzQ1jbavOuYAWCl1lztReH yvNLpgC6+SqFbG3P6HSti9ypUCLgNeX8ZYxW0xJZitxW2rNb07BrRsfFAybLl/1UI9yQdaf3lqGY CHRxUK6uSXotN/LSez6tcf9e+yuhnhT3TwtWXAJtd7o1l/Y5meQJF0c8tIJhasfIiuQ6BZ9M605O ZizVYmvN5DBnGebw3ucUBXZNt1UqpJHLpCy9+8kbReOzSJwzMuLr2Zv47388aLMGJ8fKqLbSj21j uDck3emRxWhrdSuNB/MdS0vpJvrmhZwNWZ1ZzOD3n/Xw8a0tXDw9iMFKDlR4bNUHrSDAAAAgAElE QVQD8+y6OdM2kh9bsO3fX/BtqIVNox5Io96kq2rMfbJiSV6s6+dR4jxEvBhmcgddEhbv5fsvHzg5 hUo4rSLOwMDA44Z7gpjeV/ywK1p+GVdakYOWQnrX7dD1fGJ04XI3AhlGNrorHHS5ERMPvJS7Gqaq iE65fz9Z6V78z/LLUivDfquVT1qKZiV70A3CBa1kkoM3sugEdfOzymU5ADWeTcjqHkGEgMM2mabP kWWUN3St4ZgGgBxIQd6LnNPSGnVYPZsm/WCxExPtWVYOGeEAD+dpq8wxqzQJTBi3xarg6+dyNviC JH63G+DUVAKrWxEmhpL2Qy6rUsyjXBjBbz4M8MH1TUtT84U86q2E7a8NVq2kLdojh0WwZQTH6IwR ItXz5MwIhLkMVfocojGIbjsBv1V7KZumxaXutNyGfZeL0ph614a7t33OSHDqjsTjzf5lLmDYld4/ L2+nVhL9XQdQKZubPyvX1oUojmavSoXEoWpSdl0TJTCUZbLKwP2goW1qyMVBHRd2Wtp/7eOz4MBc b/d+h9LHvynp8BIYLFCDFthFn/Nok9zD0bE0PrzVNOCRIwMjITUpl4usEkU2m5CSBhLkpmIvJKxB utNNWjrGo7eyyaGqHSRSXYwOZ82NlKfB0nqEk1OevX5hDaaEp2yB22u0Q8wsUemejMExn8HocAXr m3Xcn6uhl+iYHzx5qsuncrZNppoMSI+OeRZFsWrJQ0lFP6NE2tvwbwTYRMJDo9HDxkY8NOFlWjw/ FTXtFFlL7qK/68av/lRmQunt1+q6UpYhbljGfS8j2a71z65sN6ISIAmoRM7LO9qteKn/T6Gp0kqV Wt3lAg7vOFKdSzPlpqdcAj29Tz9oSVqg9PFZAJa2tx+l/X6XjtlOaaV7zKlQL2Y6uD3DQQ88MWER T7uTsSoiHT4bLYJLTFCfmqYnFb8jRjfUQ4WmoWJO2GgDmVQCpVwCPfYkbsVp4+xKhK16FyNDHNCa MJChd/xWPR0r4D16xVP2EA9EpU8XHUQpQmWz89jgdvN1x8PEWAW1ahXLGy20IjqdZswk8Nq9lu0f lfssJlAr9to5OszGkgyCGYGRVUkt3pR4fr1sF54kN5LguFIW+bxpSk7/0BI+Lu422n6dInRFZRqC +jIds53Wrle26y0lIo8nEw+USHqRf4pApFBXdKIL0wU+LjflJFipYVjiTleHJa2JKoOSJ7gDVN0v 6VmFwtJwkZ97VmnmXimle2NIe56BiRHkmdAiJbp5Ur3OkV/sNaTXFYem9noJcyI1++QHPGGBtUZo lb1UMmFDJbY6EZp+aIMryGFRq0WbvSCM076F1S7q7R7WqpHZ07CiSEKcURBdGSaGcxbVnTuas15E Ag1FpFxLGwHGhznhxUcq2US6x4stg7VNViq7ODOdtXSTn4VrdqWDh4tdGwlGYt+8vpylm54mdL8s SxVwtia5n0uf1bVfUpYgQFLF3NtOB3Ut8v0oBxHv9bKmge56YigivkU2xSLZCS5yAlWVQlGRyv98 XD1MiopcBbhAir/FUck1UV3nXPxyXP8qef/IZVGSiYN4sX8Ty70J7PWcjBe7iR45UkbV96wtp9aI LFqi/xRHf3EsPHkssuQkrQkidGUg18WJ0ASma/d9Swn/7O0SBksFAxBySJyG8961umm4JmjGd7Jg 70FQWV5nigmrMF4+ncNf/mjYwOtvfrGBB4td47wIhIy+KCJlSkrHiKnRAjZrPu7dqePVi2UDUJLu /Mj8zbmI5Tx7JYH5oxmMDHjGpe2E35LMuN0AL8NynT91PbizOkW1qA+W5zpbbvh3ntcDAwNfsDrm tfWiuy88c8CSsZgOoIzqRIyLBFcaJvuL/jHz+qJcWxhxU7rL6E6j1Mn1uFJbjUSusquRmrd/BPyX XQLWZ7WkIZMn2F6rhySWt1JoRezjgxnwcVG/JJvkmw981NuRVf8a79WMV6JGio+Tb2ouxpN3qH/6 3bUmmHQx/eLkZsoLfvpGGb/6/WqskG8G8IPYP4vpIl0XTkzlbILP1ZtNa8V59XQec6uscLKczu+D CnmmhlS/U5iatHabequLB3NVnDkee8Mfn/BQKQIpMMIiv+bhyAg/S2i2zwnSB70/ioNdUfDLtHhz 1ZxLd7lRlRTrEoq6N3e+NpPJ2HNkbfxtiar2DViyv1BnuCIZ/l18kqIuor2epzSS/6+cXUJL999K gdwKnABNal7ebbQvIhnlzqDmaEUuuiOz3PtlpAf9ldEv8z5a7oDLvRqvVSmkurxaJ1+XsIZihiJ3 HrUt6uGFzsgpiHooF1PWPrO2GRhw8N/86KemshiqpCwC+s2nTYuMaq2k9QvyOaz0Laz1EBlR3sLy Zmy+d3LSM3U8gcjGz9cDs2JmZY/RXCYTT3VmEzQX9V8k/Km5anV4zJOoNdqoFAZxZprTfcik8bW8 ADXwNgYkt8dNKWC92UGtVke79fJEV7o595tJugJiFZuUtbiGlTL3q1arj7WI/fZM35a1J2CJT3L9 nESKKwrSQeUFqS+DfxfPpCETAiY5cqq1p5/TeSw+3K6E9EsVdpvWLI5A+6EoTiC4XwDrb+n5sksR A/eL++RaOe+2OL25mA2Rasb7YQ4JtRBzqwFOHKETKeClk5gezeDSqaylfzYI1SqBgaVwBK+1rdgG mVEUzf0Ifqsb8YCLk0diRwgCXTZHU8DYBpnAxlSN18L6Vtx4zfejTovQk6bsIhf7cN2do9GgZ6kk nz825MFvs+eRvCaMWPeSkZH6yZSHejthgtb09nnjGsyxh5F6s/tzbbSaLQwVAxPKvgzLbeR3l8vp KppS1OS2lyljqdVqL7Rb6LNYe16RmkqjSEie0DqQqgYq9+ZFqddJT6XFu4LmoQmw+geMiv9SXr4b yCi9UqroEvAckcU7kSQQOhn040ZyriJeq1/z8rSEu+5+cjiVPONJzdeKsJIJ9hOSBKczQoSHix3j jFh5428BC/khAgg5ribBJ5PYrirS+C/Ex3faKOeTBiwEBY7vIsBMjzNKDdDqpA0g6bV1f9430Pj+ KwX7zW2w+vjx7ZaBDwWfvFa4+4zQ2NvIKIxR3BG6QRSBkUqc0nQ6IW48bCOcBs7Q+aGXsBYiEv4c +BpFKbR8RuqM1yK0A2B1I4EbMxHS6GGk9HKAFZfbrLzbzVfZg8TS0jTyehGPFXwLU8ADR1iuu4I8 nNy2AQGTusSVr/c7HLoEqoBLuboiNbc7XaC3W/WOv1Xa1b7EIBPLKOTR5epdXO2KIj63zUjv754U /SfIfgFMvJ3KznK32M/rY0DlbD+CEvcxaQ4Kl0/n8d/eq2GgSOeFhEU/7M8jaHx4s2XENlXwVMWz +kZpAqOubkAJA8ElMpD5/F4bm7UuHsy2ceF0HitbPVy7V8O7nzTxvSsFGzZBqQGjMMoj/s+/XTMd Ffky5oUk77kIln/4vGkR3NJaB4OFDkoZ37ZdbzThhxlMGOeWQqMTmPqdTdi0ruG+kOAnb8YK5AZ1 Xi2q+xMYyPFG+PIMrtA54HaP6GbrFqpEpqvVTJHUizJG/hsHLFfEppmCrne6UjZpZtycXK0DDGP7 lbf8IlZXVx9HWNJZqWKoaG6naETyBvfid9uEZGpGklLbkj5LSnOdCEpLBGQie1MpKpKzX+hndDUz +1G883GZBvKzH3SEmB2XZBzNcHdpCcP/Z0rFVhyS6yY7qDGKauHssawBGS2MGQ0xQrJIaiyNWzMh Tk+nrU+QYPPLqzV8eDPEleN0X4hdQsmF0WqZmik2LFO5zsGsrAgSUCg4pRpdvvE0A7z50DdSnX9b 36jjzkwDD9shLp4q42//cRE/er2CYnYIYS+JxfXQBrCy7/H315q2f+S/vnM5b5XKV8/SPDCBhdU8 7s8mML/ewYnxlyOaUJQkesQFLC63MPWy2cF8rTosVfGU7kl9LL2VIqv+8rNAgRfdbi0WLsBJAsGl u5ALJo/N7bZBTdHVXvsuYBEYqd1BPwInF4BdP63NzT+6SvSr/fkc9Tru5dggBb+GZOy3z9GixUwJ yxsRWjfZGpQ2EOpuV/Hoc1VtxNVCghIBhm9LUCOAURVPqQ+91wky7Evka2inzPcpFpKYHqGraBb5 LPkqttqk8J1LefzP/2rQVOeMnMh/za10UK2HcVN10LOJOkwH6bn1g1fjPsVPbm1gq9rAymaEmRUP 9BYs53JY32zh87sJ3JsPsd7Mmoc87Zg53JUcGPd5brlrUSH/n4A1Neah5Zdwu0Hn1CoGivzu8cKv nYo4/VzUIVB9ScBS+uT29XGpiqcqj0BNS0ShzPD1792+EIEGAYBCODePl6upiMt+e+a91m6ODdwP VSz7K4ICYola+x8TGSq1vzRo/WDkuqDy+Lg2IU9evPsmMVTuIeXBuKrjkxnkvIR5XDF9Wq3Sb53P SVlUxYiIqRn7CAlqBKmzHMiaioGBFsrq32Pl78hgyxqQzX5mOmMRGwGNfNTdWbbgdAy4vnu5YBzZ 3VlOzKEHFon8Dm4+aOPIaAphlMLSagNb1SZWN4HZTaATdjA+yOgtg9T9DkrFOkplzlNk5TGy92Mk x2gxHm4RN2bbuZVOYGQgi6VKETcf+Tg36aNS6Jmk42VbhwB18LXn1cOLThejWmxcDkk/O5HjbvvB bkvvJTAT96T2BJHfAjy9r54recCTttO/npTSScnvetC7JLqEsQJxKZNdh1QX3MXZ7f8E7QHUYGUT yOQ4jSZpaRvlDOSiBispi6RYsbt4Im2P1RuRpW6miapzHFhgbp+VMGW+WdRoceTXcCWFxbUOypke Vre6JlMg0LF1hr8/u9c2TRcBbnIkns7DKI1AlkkR4NKoNRK4245wdy60SdUb1QiNJpXzdBNlWgoM DeSQTKcxu1rHSKeD4UFKFiKcmU7h/LE42h0sM81MW8Smr4P7wEiOx3N6chCJdAOJJD2fvp1l/MN1 QMBSi42iG7cpmKvf7cFdApbd8nJVDgUe8q4WoOh1jGLEP4mcdLvaXYnFs3Js6G8n0lJPpSIneXe5 gy117NzU86C6sNiquItEOibMKW1otiJrjXmjlLP+QNodb9T4mePXULtF0ej8atccPnnx0weL/BbB jLIGEuKMzNqt0Mz5wl7CKoxMHyko5RxCkuIEOI4Cu/PIN66MqWciCuLnjWVRyHuWZhJpsrkssl6E gUoK5YGCbePEZNZSvNVGEi2f6WwbKxspTI6UbV8ZzXWCWPiqZc4OtdAKA2yufvP8IJbXs0iEVQSd eCLSIWh9u9eegCXtiBtV9S8JSndbe1U4BFCaIehar7jpn0BLwyvUJC3wkkL4WYk9xX3ttcTxSTuj iEuRlOspv5uP/R7vjkzGQy/qmGdVLxGZdoqDIwgGBDByTry4/+G9mpHXlD2w55CPkdtinx7lD/wh +LFVhpOk2VLD95lbaKJQzOPUdAqnj1IoGn/e//pezSIeVhcJSEwN6dLA3sAzUzHojg1m8NZ5D+/f bFml753LZeSoI/JSaIZlrGyEuPmwbUQ+/b16vRBLq01sNru4/TCHUpG2M/GQDB4W9SXSh+veXDwd iIUF7vvJI0V0u/GMva2t6rd60s7hegJgKc2Rq+FeJPrTLIEhgUtapdHRUQMDVhdFVMvlU9GO2nLc 6h0jHkV7X8Zdwa0oEiCf1PysNFCzDhXl6fPwMQHzfhc3V6B1y2AL05NZZHN5zK50jY9itY4zCSny XKuGuH6/bdHK//aXQ+biyYueoEUSm+B0f6GL92+0bEAEOSO+7tM7LfTYxxnkUSxEqLdaRqozhSSJ zp/vXyni0knaMDPSyWFyMEAimcbDpQhLm1TGByYsJUheHC6i244bpouVIn77aQNDlYJFgPfme1hv JJHPhRjItfH3//QQ0xNF/OD1EZw9WrCoamUzjpD/2+9rpkF752LewEpLrrYcdri2toZoexbk4fr2 rX2R7vbEdNouXgLJswrLXQCUApzbo+RBHJXcFVdWVh5zWhKFqmVBcgMR4V9mKbriZ1xbW9/3oAlX YuF6hUnicRBbZenbevCwUe+hU+2aCd4b5+LewFszcVWWIswrJ7MGNrzAmeqdO5o1AGPEdWoqY4BC SxhawbQ6kanH+fe1lR5OHsvh1XMxsCyshXj7YsHSQ/YJFnIJGwH2cL6FgXyAapMkespAjNtbXIu/ N7bf8DWBz7iHivV4RiIV+FTfk1zn+7Q7AXpRgJ++kQOiDmbmWFlsoVQq4LN7sY7u9bN5A2VGgwRl cl1yoaCxYNBNwkuUcGw05g4P08Nv39oRsPp7/HTR8eJltPBVAJa2RQmAegiVcklqIDtnDZdw7Wv0 Hl+mh5BLLRJxm09z17H3ey3JPCRqFcge5D3ssyQi3HnUwnojdgWlB3sxn8KF41njqljxo/MCLYk/ u+dbtMJqIlM6Rlj8N3ks8ld0X+BryCfNr7RQyaRtUEScAsdEN6uL2WzSbIwp8Kw2ujgxGWvb1qsd pNKhtfPwvVm188NYhc+qYasWdx7Uug3ceuRjvRaYsJQREyueNOejTc1Wi+cTsLjSRNtnRFXH6hbw 2rkyosgDbd1pP0MfeRYOKKmgwV/saU/r55zNMqSmid9PFL08FjSH60tEWIpiRGrvxVPttFzifL9V QkVJAiqlpIyyBFJKE9WS86yXxKdypSBAS8e1HzJf6aom8EpCcdAJO5bmpgMMlei06hmYMKp56yK5 Ke+xMJRpHAGK5LUf9EzQyUZkNrwQHzvtWDtF7oukfCUPtBr0g8iYYR+N9tiCs15lozMHUcQp6fpW x4ZVXDxZwFYzaUQ7AYgppUCQEgXKEtj2M+fHU6fXWzHZzyiM3Bkbt7mPbMuh31atFbfj+J0siOsJ BDg6lkAvbGFtMwk/SFsvYrUZR5K0zOFcRG6DU4BoiQPE3wWrnQlWU59fR6HD9XUAltItLnlWSdi5 n+jKNaPbe15hDFaqJMrPSiDp9hpqbJc7gPSrWlLacxGwuE3X3na3panWmlmo/ZcdzkEGWBg3B6ZU KVQG8iZjuDPnG6HO6IeEO9MvSgWOjGXMP4vc06d321YhpFyAo+w5dp42NHweK3xDpSRSPbqH5hEm KVcILWW0yc4hPaySWNn0sVnjEFbaBvE5HeOVKI+gWp3+XEwbx4czODaRsYJAt5WO1etlD29fzOPo WMaasidGPHuc+8GIiRosfhZqr4rFAvKZCG+cTeHBfAPVWgOFYgHHJ3Jo+vGUahLwBFR+ZurNbNmv HObXPWRTXUym457Lw/Xyr/RuKREvOHnvqHdwP5YWbvvKk54bBF2rIhUKcXonX3duU5GVa8XS3yz9 VS4N1uBvgtCTAEuEv7y31TzNY8nXE/hcnu5J7qNm2dMMsbXmY6wVD5BgJPXuJw3TQrHCRlC6eDJu aeFFLRAjJjZaPavWEeBqjkZreaON2fkW/vTtATS6GbNKtunSNvKrh6nhJGYXyRlFSCRJmndsas73 rxRieUUzlljkoiQunIjHjC2ucngFG6WBI+MZfP/VAlbWA4vAGCVRDPra2bz1OP7ywzra3R66BK08 98lDp5fDhVNZzC5uoJgJcGwqaU3ZVMGPTqYtYiSHx1SUkSLPKn7mRrdoFjv1Nu1sqEv7Ck+Iw/X8 AhZBg2DDUvJeA1J3ei0vcl5wMhjba/ECHxri9N+hx2Cgi1zygv6Lej9A+KyXAHS3EU3uyHClkxKM 8t8cnEnORRN4ZPO813w6S487CUvTOvwv8Gyk1/xqYFNtKO68N+/j739bM3M+poSUJxCgyGUlkpQy RFa5Y9pHsDs2kcXkUBb1LWB+Dbg938JwOY03z+UxOZoxbmt1s40/3OzgxkP6YCVxciquFJrdcjdO 9WjPzBYbzi+kePWVMznjmAiW0+NpTA6l8aurdVSbFNn28MqZPH7wajwzkTIIFg+u3WtbxPZXfzKA fGZbjT/Uw/JaE72oi5EB9kumbVtWNNikWwT7KGMxLzVpbPVp+yXMLlaxtL6O6ZFDPutlXzsOoSCP xErdQYcxamagqzvaq2qn58m0jP9P8NorilJKuJOTw1cBZIoY9f47AYx0WAIht01HQCfFvvRakmUw 6tqJkI+lGnlcPJnHxBgHN8TgxbSOynYbU2/i0ciiHPYHMkrq9TzTOJHvuna/hXPTBCRKJGi0B6yt s4XHR7lInVcbDxfayKSpFaPZIm2VqVinlCFj2/nDjZZt88EiK49dU70TRAiKBM24xSZtURenTudL JOopNk7gh68Ujczncbvx0Lco8MhYGssbob2Oj/3yat2mVttIs1weq1s13Hi4iWw+wNJGwlqCWCnk 5+U26Td/+WTOzAnZDF7IkYsrm8TjDzdXcfk4bNQZXVIP17cAsCQEVYVrP8udAs0UThNs3AbjnVbs XxX3C2qK826pki529S7uth/PMgJTRz0jJLms7uQWKrsa9RbuBD4qIkhoKl5LThdSzuu1ZoLoUSDb sYoaq23pdAobVR+/vtoxDsgPOGEnRLcToNHM4YPrHXipHgoZ4PSRJLYaHHjaxLjNEvSQ6AVotNpo +UncmesaP5ZJpxFESVx/0LGexTNH8zh9FCaRIO9EW+TXzuSNH2OKxvSOHu7klBj5UBFPcz8OsiCg crbhBzdaBkhTo2lTyz9c6MaVw2qIY+MeEsmEkensHySI/fwPNVw8mTVzwau3Q9RqbRydAKZGB3Hp ZC6enZiI+wwL+ZSlhTrE/D06mMHpYwP2vM9nNnF8LMJwJU4fD9e3IMI6CFDJRZPLtYRxG4ylmdHf +wFFGi/XwdQFLUVhvNBdU8H+JaL/WfoHicuStENN2q6Hl2usttP+u/umCqeawqUdU6O4q/sq54E0 HRJyjKpSyGVZ1k9ifq2LE14SEyPxuPeHC4GR4dzGUJnNxIwwKGBlH2DWgI2pZBR2TLFeLmZtrBe1 W9RWbdZ72KhzYnQsTKXAlOS4DWztwUDjVx/VzX6GUdfDJU7vofQg1ksx3aTugq+jAp+pHAHv7hw7 F2DREauLjNSuP/Bx4YS0Y7DnX33UsgogNWIjgwVk0j3kM6G5jtIUMJ9lL2vSeitZ8RRYsRpJAp9V RZYoxkcqmFsJENL8MEkHi8P+w5dtfanaikZny3tK6RMvXl7UmjUosFLk5aaaSiMFlIo2+p1IFV1p G6o+utHMfnyqnmYJaNQSpL8pCpXP/X61VhLlKuLSMA13ChEfq5QyGM1kMDREL/CMEdvHJgI0/SxO T2dwfCI2wmt3U0bGnz3qoVhIY7MRj+4iIP3b75dNXrBWDbC40kGzEZgifmoij8/uddHqsrcwhVIh Bg8ePqZgBBMCEUGEmihyY29dyNvfCESMkMhfUd9F40BGTiwEDA2nLVKjev3TO23bTzZc+900prwE ltbjaFE+XzwNCI5Ma8lRnZisYLOaweziFhaWa7jmReglPJyYymOolLUoi/vCaM2Gu7bYgE9vtgTy uRTOnRjE9FgPBa+Frh9XeA/Xy7OeGrAsZcnlzKRPkRSXG0HxolY6pekfvCilZBcp7bbiuI3W7ra4 Dbda6Q6i/KqXPhMrmgwl1tc3rNePUaEIdO3nQRePkcz9NBCTAMioLpslKb9t79PtYWE9MKKakQ9d RumDxaERlBzcmmlbTyGrgaz7b1Rj5ftWgyDnmcqdvNb8UhtHxiiETaHa7ODcsZSR4OTD2GNIULx6 o2WvDXusNAbmjUU1PIGPwlUOpeBh/6ePGrY9RmBzc55FUQRKTumhuJUVPEZ+3F8vDUtjCWDmDrE9 /ZnSCzpFnDuawfUZGgJmMDyQw+1HHdx5tIHZxRVryVk/XUYUDmBipIBGu4cPb7fNUofN3ee5rbBn avgzRwoWrYVBDpubCbMr+jZ7oL9s66kBS55UGu6oCpiamNWOwotY00KUyhHE2BPGJd0SF+2Xd9Mq uSPANFF6r+kzz2opupNkIZ4bF1sz7+SD9WXAX6CleXPUqSGRgud3ESLmir57qYD3ts31WBlkpMEo g6AzMZw2YpwVvX/z/bKR0v94tYFP77aMV/r09iaKXgvlQgr1jzdx9mg2bstZDTA6lLYKHkHt6i16 W4Vmi0wHh99+1jTx539+N9ZPERwIFpzkTL/4X39Yx8ZGy1qCFqt1cxWldxcBjpHYyGAKF07kTHjK 6IgtNwQ6Aho/x3vXmpZazi93cXe2YwT8uRNF/OsfDOG//GYDec/Ho6UmZpcaODJeQCqdxfkTA7h0 ggNegUI27t8s54BkKkJoY68TyHFSzbb496BL59sh2L1AvYR7kddu9UzPd4dOSNogfkYclYSoilo0 kILVQZHpskmW1EFTb9m2s5dqXJzSs4q6+H6yOFZzs2ttuxNX9WWWoi3xcH6HaVwdjZkG2l0PD5Y4 nKFjfM1b53PmO0VpQzFLtXnWwIURGB0PODiCfA+rdz9+rYgLx3O4dgbY2EjgtXNF3FqIbY8ZQRGc KEeg3un9G01cOZmz6IfvRfKc0dEPXinGwyjqoQEiNWAEoB+9VrAU8Oq1Lav6vXmlgtfP5e1vrOjd m/MNFBnk0AqZ0R5TR0Z0PL149ObGPHznUgFvXujhlx827HUEOqamg5UMHi32EPSSOD6WwOQwo746 om4Cea+ERiuJbkCP+z8WYjiog1Hd2FDWmunVA3uQiTO6iag4crie815CTchxzfPcxzUBRh5VupBl ts9/E5jEZbkg4+qzlN7xhyeVOzxVTqe6Q7oDW7UfB20H2u/SQAy3wrdXFfNZLBHzak2ikNNfaBlP 1O2lMDaQwGe3N83DyvcLJq5c2eyhMJnFJ3dbcS9ghmlgPHCCtxuCB5XuqUSEUc4IDCjIzSHjcSwX SfSkRUzkkJbCwKIuTsehforREL21CFxMNxlR1VqRWdFQBc/9YnM1exkZ5Q2XyUFlbJsEJIIGiXa+ j7X11EPcbJN8p+g1HmoRb4epaGgpLt0mKBLlmhiJrDhwfCpnn/3oGLmu2LlcuhMAACAASURBVENr fauFar2DWjuNqbESxoezpgMjAPvd2KO+mPeQScfnDM/Vjc06ZhZqqDd9m0JNGchOX6W+B7fr4nA9 p4Al4OFFoxRot2nQclJQxKRpOeKnCDZ8rgSSSuV4IqiPUFEWRariblR11JxBeUrJnYFrt0qciP2D Lu2PIktum2DM/dlL4Pmsl1tNzLMgYRWyCGEvj1IxaaruoRL3j4Z4PTTbnPXIKlzP+vUYtRDoOEqL qR8ra1SrDxbZvsLjn0A7SOPSSXpS9YwQJwnOahtlBvRpp7aLqSbBiu015KP4OvYFsr2GkQ9BLvbo 4nZ9NFuh9RWSlLeqIRBHcJuBRUumiF/r2mupmJ8cCYyoJzfHKJBcG0F2qxZa1FhYT+LssQwuHsui XOCU6YS9P8l1AtHK1hbml1tY2mih7Yc4Os7j5OH2bMciuZEBz4CRS/xp1Etj9TbtdUJrCTo2xggv RClHTRmnUSeRTKWRyWYwMlJ+PIjkcD2ngCVfJ5HI/aZ9AjMS7XL7lIGemqPdsr77b0ViAh75RLml fXnDy+1Ajqd6vtuA/CzJdvm4u8Nb9e+vE6z6l4lHMykMDyTQTebBluaJsSxOTCRQq7dRb9ZRrbfQ aiUwNZw30tzvxuO3CBZcjIL4FZYLQCLi/MI0OkEC3z2dN+6IPBPBh+Q4LWVItrMSRxBhhETZBBX2 nGlKwp1RlNp9CDLNVjx9OhVuyw22DxUrd9RFLa+zuZoRHCULaQM5AiV/2ODMfWMAz9eOD3km+CRX x5T0e1fy+LM3CxYNbTYi1NbjCDKZIKiUUC6nsbpVxcp6E9fvJpDJZlGtJ3HpRDzq7IsrdkZdruXw h9scJRdgfDBCCl2cm+6ZTc7IYA6ZdB75TB4DgxXjAHmOfhPdFYfrCYAlEllj3lXJc78o/p2EOaMv CTnVliLinaCjCEkApfRKfu18vaQMauHR2DDyVAQPgSOjNgKWjPE0ml6AqX3fTeO113KHSqyvrz+2 rNFnUAXzm1oWLYaxtXHZCOsYXBrtFIqlMsZGklivVZHzOsgkewjTOUyN5KwZmlET+/jWa6HZxYwP 0Vaax42ABWt6JiCxbYeRD8HjzJGsvYbgQdsYRmi0S2ZljyDFSc90TuCUG8okSJg/Wu5Ys/PyUsYi MqZlBmjN0NpvyKeRsyoXczheTllVkFVFarMIVHw9Px/96tcadHqARVKM7BZWOwZerPrNr8ajy/gY 00SS/29eGkSxmMHMfA335lrwOzW8c3nImsbDgNGYhMQwM0MeC/rPb9SAlQ3gznwPw4UIg8UU3rlS wZXzwygW8gaK3Aa/ehWB9qtNPFxfE2BJvMnfS0tLO06ZFagQrAg0GrnFL5RaLHEvfI6IcwKf1O/S MWk7JNqZcvEuJqDSpBkCJx9TFZLP4fuJ2OdjOokUCWnwxX4apAVUzWbr8aBTblOE+jcJVFrch8nR LOp+YBcb+SVyPtRcMd05dzyHv/5XJRsO8R9/Po9ito3TU4M4OpazeYPknv6vv9+wth37ND2O/kpj ZiXAZ3dbpmNiJDY+FN88WGkk0DEqu/OoY/2IVLIzUvrwVsuqiUwdqWYnKNGPy2xvVgNs1eI+w1oj MFvlqzfbRrBzH5Y3urbPBEgC3oMFH5R6EigJaEOVNO7Ox35ebKuhASAJ/D9/ZwB/927DXCqunMrh nUsFHJ/0cHw8Y9xYMpXA7FIagwMlHB0bQDHTxc9+t4TF1SZeOTeII+NlG6zL92XlkyDLY/g//KiC f7xaxb1HLfzrdzxMT1YwOVbB6CC7Db5YTHJnVh6u5wiw1F6yWwWOfxdvJSJSFb6RkZEvjOFiNEUw k8smwUgpFoFG21A04xr0idAngLgpIF+jcr/aW9yKobir/Qx8kC2zPOJpcyIQfR6ASoufY2GliTsz bXSTNMBLm85JfXVMtVLJFJo+/csqWK828ZuPt7Cw0sb0ZAlrdbbaZCzS8dsNhEELnW4SYSKNc8ez uHQqZ1IERk4UmXY6Tas0BpQeHKfjaTzannorTm3+4auFOHUaSFvqNrcaYGmdFsxNNOptDBZpvBha Gw994B/M09ImGad6SZhjw4iJSHvmiEr7mJNTGfz5OyXrNaQV8/RYxwbCMpriAAxKHyiBYO8gQWqr FuH3a2w3ShvXdmPGt/SVThW3H7Vx5eQwPrpTxdWbC5geX8epoxUUCkVcvdE08CTw0+traijEQBaY nBjGtYcRpieAU9P8xLHFtsuVfh1av8N1QMBS64kakBVB6c7CL5DpIMHClQ7IT51RinoQ3ZYVAoE7 WUd/55JtiyY1S0iqFh9tQ1VHAZKqPu5YLfczuP7vOy3up+YEauDFQaYyf10rTmciDFFrNBAPRB2u pDE2lLC+PjoWkNTmhX/9YYgTk3lMjABeJsLyah3LmxHOn6hgeS3AxlYHvShEpZTGsXGmhT1L/5hy yeHz2HgGt2Z9S/mMA0sAGz4Hs0ZmqzxQSqPViUfVM8JitNWNeiYkjbolBF0fpVwXp6Yqtv98/022 /OSZEqasgkfC3XiqJQ6DjV1TeYqxymjPK8RCVFYfKUCt0DcrlzRNmISwnEjNz8600eYuArj+sIPN WoQgSuPzmQQSvQTSHg0Ja1ha30Srk8TmFqwSSbnI9EgS598cxNGpARybjCxazWZYCf7joF2B1SFg PT/r8VWqdE0XrnvBS2mucVtu9VDSA5nXqQ2Hf1c7jQBKXBYjJT6H/yYQqTKoic7iDfRazUdUf6KI cFdioIZirie5g2quIJ8nvu15XDHpHg+PKJixXtySQl8oWr6wZ49A0GpTJ5bA0Ym8lerbfgfNJttp utjcamBxuY3NassqgjTdO3XEQ70Fi9AYdTDiYYWRzcxM2QheBANW9KjN4nMGCnHbDgl5ggSBh9XI tU0CpYeEl8PSShfNlQbOHeMxTeLEVMbAhNEbX0v+ihEVfbnINvB9WCBgNMUIidVMkvL8fJQunDmS MQD7/EHbSHj+sJeRf+PwDYLd6ems7QermHceRTgyGqeUqUQKwxWOd/RtYs+R8SJmlgKUsgkMm9i0 Zy6mTFfPH8+broz9iiTa3dHxdo4dRljPzfpCWKGhoG56xeW2wIi/EghJ1iBOSbot9RBSW2Ub2h4W wedTwuCKQlWZdG2ZdcIQrAhwBDLZI2ubbkoodf1e0ZJIe322F6HyU8ilUcixbw82+YaOomxr+ckb Jbv4zaOqlDTpAbVSxOy1agp1nxOp01hYb+Puo4aNDBup5E1FPjmSMTHn0fEYfEi8EyQY5dCoj+km waHWDCySIu/DqIamgIy8CGAELoIWrWwIRKw2Lq0l0Wp2UcqvoViu4K1LFQyVaWvds+cwErx4ImsA pteQkCdAEqBoJUMwY28hAY62M0yD6RjB92BkRmfR5WYX61UfgyXe0GLzwXNHelhc7qCSS+P7l5NA j04WnOmYxNR4EccmC/BDyik4CLaLO48amF9t44NbLXSDQSsS8LgwJSYgdoMQUUjg7qEVF60P13Ow vnBlKyrqX4pk3IEKGoWlxahI1Tz5Q2l2oIh0jaAXiInYF4DI5VRtP4rICE6qDvJvTD+VDop7E7ju 5JPFJd7NxkQ5erDnfZWKOZuonKK9cYUNz/ExI6jcX+yYyJItNaweck2McHR92tLHgUoB1XoWpUoS YWfLpAa+Tx/4NHqF+KbA6IEcEMl1ttlQ0ElJAIl2Ri2MgM6fyOLdTwIDSqaD5NHoGsqU7/JJRrMw DVUU5lHLJLC2WceZoz5K2XhgBbxEPB8x7FlKyTSXXxebp5kOkov60WtFMwTk5+Lj1ISNDLANKMLU cMpcKEYqPRvK8csPNnDhuIfrd+v4+HpgwFXKJ5CMerh63cepaVYh0+an5UcFXDxTwlDFw+Q4ebcu Prhdw+1HlGsE8Nst/PpqF36YtXagf/fDuOWHvKCXAm7PBqhWA5wa+6bPhMPFtS/iRh5ZjHTIb0l3 JW6JQCRgEX/F/3crKxr9zkocgYd9gyTj9TzNE+TfyGfx/1U95JKcQrqu/sGpBLS9DAeVsnLxM/Q7 QjyvK4xo5xLg9lwV7TDWKTEqYYWPv2nVwuk4f/OzDQMQpnEEFv6dnNR//O9beOVsCRMVD3NLNfzj h3X4vQ3kspQqROhFUayTyqXx9qWCEeyMopgeMroi2c1maKafbDSmip4kPjk0AtubFwoYLDE6Yx9i F23fw7HRMn7z0SJGh4tmicORF4zG2NDcaG9ZBEWJBtt+6BpKsz9ul6B59WbL0kN61P/s9xtIwMfs YtOErwQt3k/fOQcsbLSxtumjVMjgytkBvHmxbMcplUxivRphba1n73/lvIfP7raBWmhN4qx8vnOp iDfPF7C0RtPFFNbWt7C0WUcuE2F+hRVT2OejWPU//aqBVK+NY/+CKew3fTYcrvRBFdgELTdyIkCp Z5Bpm4DDBStGPQQqRmCadiNjPAGcIictgpX6+Pi+BDxVB2XjrIhPEaDSVQJeP4cld09ugx383DbT 2Od9cVx9zgvM3rjajoWX5HyunE4ZCU3wYFRCycBn99o2W/CdS3kTevLiZ2Tz7scNU3WXcwkUvA7Q 3cTwUAljIyVkPaZn9GmPoyByRHQq5YQdpkes8A2foJ980iqKlDHw0DKFo3vo+5/XjDMi6KxsxOA3 NpzDpdODuPVgCzdnAtT9eOx9Npuw33RXYGpKMamKBpQ6nD1axJWTSSystlHOsOfURyKZwpHRDLJZ zxTuZVITXoRkpoe67+PkkSyGh7K4PUe+jeJWEvoBpse3nVCb8fGiDuu/f9AwC5uRStoGaZBk7/ay 6KCEy6dCnJkOsbC4gk9upjE+WsR/fc/HP33UxJlJtgwlcGz8sFr4QgCW0ieCAPknkelcAhr1E+42 zp6PKVW0NoltvRTfW+mjBKP9vYYaYc9tSwvGyMzVjvXzWf0Kddc9lGCoKuHzTLpzESjYuzc1nkYq U7TWlRsP26aJMl1UnWOuYktgck0EsYWVwOQArLRVSkl8/xWa4rEqGyDvpXHhZAXzK23UGhtmm0wH 0WoTuPOggfV1H6moh1LWM9eD+ZUAzTaJ7Vi0ahOiC0mcPuKZjGFxPR6wyraWdCplVbj3Pm9jvJLB zGIN3TCClytisOShUvTMFif2sAIyKUYtHLDaxcZmFfdnYj8wqtC3qj1MjOQxNJBDrQksrMc2yWeP 5XBxmHQAECWaJpM4MpY10F7dbOH88ZwdEwIVNV48Nm+cy5l2bKTCYgXV8VTgc+hGhHvzAYbKWbxx MY9XTqXwaLGJn/9hA2MrTXx6t4uVdWCsksBqlYD1TZ8Nh2vfgCUrl/6Od7c5lNGN6+eupRRRne+S LqixWCp1Aha3RY5LpLjmBPJH47bc0V8CJVUyJVrdictSUzcXozemm+LC9msT46ahbrlbpXBXB6aK qZt6HlTnlcnQayxhjb7Fctx3x/SMaVPDj8v6jKZ4IbrTc+J5fnET8w9fKxqXdPOuj0cLLWw2PXTJ NZojBMv3sdZpbYv8lG+ygkQiwNoGW2SS6Pg5DJYzGBvJYX41sl7BE5NppBKqCPM3byyhTXXO0TE0 SytjYKPmYzSXxfGJmMw/OZnCB9draAYhGqkEuh3qyUIUswE63di0MJNNY6UaYsorGlAYyFQ5CDb+ /GwXioE89mFjZY9k+q0ZthSFVoxg5MaviftK+QUBjCPO+JsFA6r3KUhlVZRq/gsnSyClObPi49Zs hNVqy4AqmKTza+wIcbheEMASGLjjqXbiinbzD5LFsf4tEl4pnV7LxehKei63a16pJF8nkOsXekoz IzJ/Nxtlvh/BSoMg5JDgar92WxK5ukS/joeKBwIo19RQLqkqEux3pVOcRsO0rYtgI+aoaHbHdhU6 G5BnYppzspDB+zdYsGDpn8LSuK2P3BEjI0ZeBBBe8NcfBnj7QgV+l43JXeNm8tm09SIOU/k+msPm FjsVfAwWgFKOzdNA2AU6foheSMBnlY8tOAS9GDhZAGg1AxtS0aWwNwU0ml1EaJgbKFPP5Ok02m1y UkxRKakgSR/iypkKCvmcNR8X8iEGKiwOePjoVtu8tAg61Isx4mOEFotmYfvMFiGKSpnSfnCjiZ++ UbIUmY8zpaW9M/m9uZUETh3JmWp+YjiJR0st/I8/LiHjxZbQD5c6uD4ToVyiaDnCn73j4f5cA1s1 tqDxaB6C1gsDWK4WSxzWQZY7kl6qeS1GVkoH+bhcTFWJlIGeLnRVEZ9WliA1PT+DGrD5ucbHx3fV cLkpcKfD58dGhdofFQJcjZiiLn12DdxwZSJuP+RuEdbUWB6ZbISZ1QQun8qZmR4jCIovCRLfuVi0 1I/8ECMp8kO0VRkqp829gNxWqx1ifYNFEU6CTuHYZAa3ZnroIbKJM9R3UTf1735UtkpgseTh5NEB jA4kTMtFW5a7c3TvhIlXr7dpGxMhm8uYYJPbJWhUisD9+djMj5+IXvHX7m/glx+sW/Xy0xuUGeRw anoYF85ULHJpBi28ep5qd0owOF2HGqm0RUr0omeUSKCOJ1Rz3mHSAIjAyKojT0UWIArbwlJpyLg/ 1KuxAvmzP9SxuEZ/+gLGhpLYrPrIJH1850IW12dYaQ2trej0ZBI/vFLCRi3CT9/KoZAJ8NGNNqp1 foc7Dz85XM8ZYCldYhpFQ7Tl5eXH/uMHXao4ckkTRbBS7yEreLzo1U/o6qVcSxkJRd0GZUUvcnvY ban3ke/P9+DnYs+j7Gt2Sg/FpXHRcfSLoEkA2nmGYv8AVkWhSp1jLi2OXvkeO03c2aoHuPGgidkN GDC8+3HHGo15Qf/49SJ+81nD+Cq6gFJeYGr4gTQ+v++bqPP1s3l8eLOO2/cpwu2hNBDiZ7+vWcp0 YjJlhDT5nO9eLlgLzi/erxtgeGmOLUtjcnwQg4NlLG2tYXa5hbFhD6+cZ0TEaDdtFT+moeSO1rYC 1Dc6+NFbozY159cfLGB9c9mkEK1OiNfOT+G1iwM4PlVAJ0hhdqWLB0tdLK5vxbMNQ2r94gZqs52p BXi0lLQ0lTozbuMnrxctyqJLKTkzpoYUgQ6UIvzuM+BXH9bNt4se9dwfghdTQFYkZ1c6+A//QDU/ BaQhtjaWUEjxBuphINNFtscqaRLlUx7SUQtvnI5QSFNgethL+MIAlqbeCGiexm9KS6kTCXT1I0qO oOqfLnJdvG4rECMivn6nQaRSwTPde1JPoaIgPp9EPFe1WjPwckl8pXLuRBu3LWm31HOnpfeSyJV+ 7fHfqUdiJIEdiwX1Ju2Z23jn4jiu3Y+9zMk5ESg+uRsPJGW0I27LFOBHMhZZ8W803rv5kFYyPTPD o7aKE6MJeqz2UQEfRAHe/aRuAyY49JQAwAudgySYcp2Z9nDhRMHkEGzvGR6MQds6FjqhTZlmta/W CrG0EWKoEmF1o46NrcBSVHJTRysDaHU5+itCtdG0SIhtN//+xwOW8lLMSqmEeXGtdHF3LpZAcL8Z fbGVh+9Fu2f+/s0nDfP9Oj4R7+uDBarWszg7zUZ42P6wZ5G2y6+dzdlxYcXw0ZKP2eUIR0Y8jA0m UMq2kex1UMj0zLqHqXMqwWIA7N80NKQ04yDf9eH6BgFL3IxSqJ2cHA6yNFVazg8yzuM2GLnJG55L lsqKUsSFKRJyoyFFPfyRK8ST+CK3epjJtLC1tYl6vWER3vBwPNRVz3FB1H39fpciQKWLcUT1xyJC GMZgpu09FuxGNMuj1Q/dFuJRXGYxjB7K+RReOxODD3ocGR/ahb20ERjhTI0WK3wLy2nkPQ9nj+Vt Ys7Nh74R1dwH6qcIdNRusdrICI3VvJUN8lsRLp3wTNPE6CZC0saGrWxGmBqN95ujuzhdh1W81a0A r57JYbgU4eEcx9JHGBsuYWw4RL0dYrUamPMoexnJq3F02Ma2iwL5J4IMZQfUhNGSubgtZuXnItBy P2gGyAEZbFmS7Q1dTzsdTp72jNcyz60g9mDmceJxILj1eh0rToyNZvDq2SxGR0K06h0E3Y59dh7f 7bM0tnCmut7jiDVeBxyS8vz1nH6b1r6FoyKYnzQ2yQUyEezxRR2PdnIdPWX0r+cSEFkhlD2zOwCC AMIfDSp1Qc1dekyTmPdDcCvS4mtlY0PtlyqZz8q7XRzdTqPJBGS8KCQR+WKUGRlwXTQVdmSAw4ub 5DJTJ6aCTJPoc7XV6BiHxEoahZ/ksuqtYFs/FU/Wuf6wbW6ljxapjYpn+5EHYhrFiIpXq3FUXjyG i8aAj5YDI8+p0aJinDot8kuMYnh0GB0VsoCX7KDR8C2V9TJZTE14piUzYfEcJ0+zeTllAMGGaMoP jk2QqOf/h7a/bOHh56zWQtOe8bORVKf6nYDGSI6cGxfbeRiVLVYDi6QI3jwmNhORdjVDNC70MVyh LxhdH7KYGKF9MnVbaXRaSQR7GIuSvCfIdbosEsUgdri+mfWlbhduid810NPF7UoT4jtWPLHX5aF2 mzqtSENVQgIKQcSd7ixCu79a+LTgEgthOdCU7hF/9MZ6FusLzbQ7+MK7oEUOR8fGqprZNPI5z/RS jIoYOZE850XMMj0tivk1UCPF/jwCzsOFjl3gi+tdi8g4PTqXpjVNG/eXG+beEHCQQ45pUmxVQ7Kd avPVjY5tZ2zQgx8A9TZsTBiN/0pJpoCUTvQMHButOH1j9HVqKo3p0R6WV6soZFPW7jI5WoC3PbF6 aKCHk90WNhotREm2RcWTdRidEfTYCsSfepMAGuHEhIePjWSPLZszXmQgzYoht8dDSBcH2t3w9R/f alvKRxNAGwIb8Rwhp9fD/dkahssRxgeTODZO0W0Ctx5Rx8bv4Y+p/06L1U4GVq0OizWPTVUP14sG WHHfIMnIeHy8a6inSpguTIEZTyBFPe5j+n+5kFKFTlKcIKV0Ua9Tv6J0X5rrp/cSx3VQ4FJ6+lXY iahIIDud3ZbselzBLKe/cLzV+3ealqqVi3EkRP6JKRB78hhJ8WJnmkSi+ee/r1s6RUnDTCGFbCpE otfFvflNtAIf544mceZoBW+cL1rLzO8/b5pei+nZ4ERc/h+uZBBsWyhHYez/Tv6IbSvczke3Wla1 o7xidDCJSj5A0PFtWvOZEyMoDbAxOW7zufWIUWIGI8UAG/N1jAwD547mceZYPJ6MRD8jK/6bqR0n 55BoZ/Px2xezZuzHtJVjyN6/3rT+ybcvx200BNo4sgzx/71bxTuX8yZnYKrLtHZquId1PzDXhoFi AtlKEsVMDldOZnF/IcLUID3rO7tmD5kMJ2SzXzJOEw8R6wUDLEU3XMzpXRLaXf1Rj6IMXriKKJRu 9uuq3PmDXAIr+W5p++5sQolY+Th7FQ+idyKgsFLI95XJ4LNaGhcmYN0PkKp9yfjCiP7jwJ+8WUSj nTAjPIISPaG8TAL3Zjs2AYdRCS9aktlVplPtEAtbAQqpBK6c7OGdC5QK5FAoVsyb/fuvlmwU/ef3 4+nJ1+428L3LeRybzKGQi21fyA2xkkcQIShyHNerZ3pG5M+txkNS/5d/WcLKahXrmy30ogz8sILf fd7Fn7xVMmU++Ta6SxA83rk0jHrzIZbW6vjsDofDDlr17z//toa3zudtniI5K6a0/88vtsxwjyAp 22UeO6ZzA+UUfvJ6yaJOOqSSD/vLH5bxAduRMknrRWSUSNDmsIv7i0nUuxmcHM6ZE6qX7KK9voZL xwcQBAk0LNLa+Xso0mSSRZlmzJ8erm9uHfiqFFC4ItL9rv6oaydOx00TGUG5Pliuf7y8rFwluXoS JTJ90r65bhAEFG6b5DslD8+yMVpi1d2GxO629BnIE1VrbXSSAT66Hffe8eJlBsPBDr4f4T/8w4YB DG1baMo3TVuW9S7GWAUsc4IOjevop9XDcpVNwrCqIK1lGGEFYcJ+Hi6HWNhoGcjQZwuJHt46X7D/ p6SC291qsMk5sOEPF44Ci0v0bU/h1OUhZHIFE6bOrQS4djdO0fh9MTrjRf+fflXD+Nig9UZu1nys VqtYTFXwv/7FIP5wrWngNDEcC2L/4gcla7ymdTMjOpLrtNfhvl8+lbU+SqaHJOLfupBHN+zh1mw8 iuyXVxvmesp0kQDIsWSvns5iYihEOsEbXQbDQ0Oo0Xm2EffC7rTMVDKfRY8zNTv0eztMCF8owBIn dVCw0tqNv3HfWxEcCXCF6W6rDcFK0YfN79vmHvon/DzpcxCoaDcjTZl84TWNur8N6GlATDIGed0f ZAmMGz4bersIUoxo4mnP5JFoPxwGcX8fUxW2kKRH02ZjTJL4d581jDDn8zmS/ugo9VYpjI/l8NaF nPlPnZnO4fSRvEUy5Gqmx7LWAE0inFEcIxdOji7lY5K86YeYXWrh0WIdXpJ8UgpXzpRxZCyPSimL WosGgl3z1SKHxvdgtHTtvm/7wuEWVLBn80kkmxFavFkkE5i4NG5VSgILW2dYbSQBz31nysmokX8j kBG8pkc9Sxup9aLds809bIbW50g5Ap87u9wx62WmkeSz6H7KKJT2NeViAiMVDhspWg+kzCd5/olq UGW82/HR7R4C1QsJWLuRxnqsn5Oirkpp4G7qeLcSp5NEr9HkHpX5+X4i5XliiasSN6QT7UmyCzms ypuLkZVkEC4gK5V9WiKfoErgpSD2qd8jjG1mBgeS6EbbVcMoYWQ0XRaYUhEcCCyMhK6cymB0gEDl Y3osrppdOpFA0WN7StcqZwurlBnA3EePT2SMZ/rdZ00DFxLvJPS5XR5FRmG9yEcyESLZ69og0mK2 h8unSthqJhD08thqethqkoj3LS01Z9Fc7Jb6YLFj2/0X75Rs0CpBg6Z4uVweJ470sLrRxt0Zaq7y sUNpLokLg5y6TKuceBDr9QdtazNiWsrFCI5AZL2UyZio5+gx+tFPjqQsMiSYcrsE7r/+80FLc1s+ n8vjRvBLI5fhMFcPzQaBNkTYSyKFDKZGeJzjqVDxjZDP4+/D9pwXKq1LVAAAGuVJREFUDrD2eswF K178VI8rWtppgrQaqyWYJEC5NjOKtlw3CEkdCFgy/BM/pAhNtspu9dLlpcSnCQwJVi7H9KwAy1X2 P+3y0mmMDGZx7mQGjVvUZPUMdIKAF17s1hmPg+9ZA28qwepphJOTaROIUn9EIjzkgNtEYEJU8j6U JVCzxdmBzFT5esolqJOi9fKRUV7QQDoRYG65ZeOzKA9gWnT6WBlvXhrFg0WS7gEeLPqPh6sy4iNQ UPtEyQGjNAIXtVbcDrfNCKiQzeLiqSxmcpuYWyTH10OUyODSqbxxZQQqPpeRGUEul03ilVM5S4lp 6Tyz2DUQYxp88WTWnkPtFXmrdofj6znZmjqzwFqa6OxQbcSaM0ooEokeVrdChF0a+QWoNjpod0NL oSeiP95IbY4BaECoG+FhtPXCANaT1OP6rdFbGlrhtqgIKPp9spSO9ftpcQk0NEBC6Z/rzKDn8L0o TCUXpeGsfD93OIX2j6AmEJQzhCYFu5/naZbA232vp1leJjZJTP7/7Z3Zb13ndcXXOefOl+QlKU4S JVGWotlK7Li2kyZBEmQA+lL0oSjQPva1b33vf9Dnov9AUbRA4ABFkcRJnNh17XhMNDiyJYqyLVIS RVGc7jwWv/1pK8eCFEuKJQ/lBxCUyHvvGXi/dfdee+21o74p0ElzmG5MJMRmRdFORPTDZ4raMSxT ml9di/SDZ8dts1+43Na5Sz2Vsmil4LR6OnFwRLunmKjT0NvnGgaAkPmkVERUqMf3TNPm1Nbl5ab6 7YZa3Yzeu5RVvZ3V5FRRV9cCiEC8wyUhUOV4iE1f/G3VSHecFSgIICal9xEw404QCW10B5qbKeg7 T+/Umfeu6N0Paqq2STOzBkTB6I9UrmevgYQB4JmdDO8NAArtGI4LgLYNpIhC1dBHkQG6B3fnb/ZQ RtoR9zRSpJiDGSI+WWgLIzUbXCt8IQWhjrqdYE4ZdH+0LzGazJ1ItgHr01qfqGwXUOAPzJeT4s4L +VxCNi6gRBTFeDAqcu7m4K6gabByAAKY7iQH8GgKLorX5Jh88TNadNy2GZBLN1ynfeeRZjhf5ZHX J7EcmF2a8aALq16sjd94Z1NPHJvW8f1FvfTbmhHQkNmkRN9+smQuCB9ek2qtsHlfPVO35+KHtbza Nftgvu+a6Og4kc1y17RVgBVi0icOFczlAVHoqXMbOvVuXUnUUbmU158/uVsnL3R17EDH2mKIwF56 u6ZsTvrgSkdPHCqaoycyBjza//nfVrR4bc3Oj8fT6wjPND2cueWygIzh6yfK9v+JyqwyyWXj1XBG feV0oh88PWzTqJ86XDIeC/U6oAdAQ8Qj4zh1vmFR4tpWbM6i+3ZiFkgkSUN0cGxATEray+O7cU6N xoZWrl29FXmnv8J7Ktx3l84gZwDEr60NdHhPmIi93aLz6axPvM8gbQ+T5m3YtKx0ZOVKdAcOT+88 FUtPtWEyc3oStb/BnMj2N5enlByPnwFkLCfpPeLi9dyMkE9bfuaR3oMWFG5f6WZszsmHbNzvItJg 4779XlWloYpa7ZbavYGlTeiKXnx7TReXWmp3M9q/u6h8NrGJyrmszNUBN4UwpDSneqOg0/Mb+mAl 0fhoURvVvqVdkFWkb512Q1evVW2Ag6JE9W5Jg0xB//W/dfUGodUHMESYCjBNjGb1+P7EXv8nr26Z uh2CHkcJBp8S2QSdVNf0Yoo6RphjPkhKh/CUaTmkoY1mrF6HqGddNzY62jcDAR/r569vWrQET3d5 JTbu7uR5vNNiKzCUivhjhZYlLHaYQbh3OqNvfmXIChP/+tyqyoW+vnE80r7pgZIo9HL6++huyz+8 AD3AddfkzYg+SxS5HWV9IQDLJ9u4xsrBC/BxdwMf/uDA4GJJ3+CeRnpI7voq58H+0IsXHu/EaFrW 4E6m7qHFl1f/HED89yjbAUaXQ3xSyzk6gMpdWe/UtP1xi1620eGspTJEDxDHNDfnsvT7NfWlXZEm dhT1s9dJ29pW5qdS9uShonFFCD1paTnxpbLeXxpoKIe+aktPHh7S+Q69g7EmRwZ6b2HZyHpI/JGh gpqdRPNLPb1+NuitiKKGmGgTo74P9sw2OXoctXm4b/BFKO+pyjGKi5mF6J5qjZAWrlf5fVDGo3An 9SNCJFVttLI6sHdEW9W6Tp3b1H8+jxNqotUt6alDWR3aXdDYCPevYDMWcSqNRGN6+OAqZGRc1NTw QPlMU4Woq1Y9Vj5qagxubxCr2YyVvTl70OUmjDxDyZ5N/vAe8hUMAvHaYrwYZjxc5zZYfWEAy1M4 F3SyUX2T+pvBAQ0QSnNiXgF0PstJT/5NFY/f+XRo1zX5zwBGfKr8E9MdEdINx3i5u2MqD0v7y3/c LMMHXU7aegO5n9P9tP0kSWwtNNgZr9f7GipnjdxGlV4p9nVkbtju3eGrwTeKqIomXiIRM/Gr9W75 tefyWVWbeWXiLS2v1lVvROb5lEs6Wl5tKorLKpcL2mhQcU00ixNCJ3BUkOYz41nbr0QdC0stA6Ny MbHKHgEUSnWOM9cMBQG0W4BdMR9cUfn91Rs946O43aSLzx4v2GPgvTCwqLXg4Grq9Bq6dqOtKMmp tmfIwKae6SiJQhUU3dgm9RneH+WB8okUn8grl8EksG1RH1Hh+FCicr5jXl1xxPsqoygpaK0qHZyq aHGNXsiB9RyiV3O3DxaFQdLmZpsRYwxqjYyr216fU8DyCMYjnNtdQb1x2WUKbFg2F8vHzrOBvfLn Ucnt9sdwXWnwgVB3DRavH6brhKk9DobePM3zACokDN7o7BGVp5X3apH8IIvX5XjOt/l13utU4QB6 GY2O5NTcjDVRSUyHlY37NlKegRKgyF98bcT4HaIwXh9LFvyiKPdTWSQKIlq7vJLVeDmvN99ZszRx bJgBEl3V2wWt14vqLyMQbRv/dHx/wTiktWpwEqXiB6cD7wXZjSgTYHr/MhKAgVm4HJ3Lm6AVYp0h qJgMwl+RehJlTY0GAt1cO6p9qyDyuqR1GPatbsYaHxvRRGWgjeq6hksMhQ2+7itrmBZWbVpPvlDW Vj1wZGCIuawmecVJpGIprx2F2Mbe12pbHxkNx/uv3S9q9WpXj2lIV9ZqpkGbnsxrdDRE8/V602Qf VRqj+8GttVTgfPjg2Y6wPpeA5akc5Dl/5HSlLc01eSTloMYbxsWavnH5HRGQD5bgMenUie/e/Oxp pVcj4cN844fp1Vnzj8I6xSdHOxDyBdjx5Sp6v5aHuTz99VTVh2jca2Q3VMqY7ilzNWtRy8HZrMaH kXGEhmd80fl5uRgZmHBZK1s9I7HhW0hpRso5s3MB8BqNREvXlpWPG5qslNXVsJY30XTljS+imke0 RtpHmve3PxyzWYFwT3hXQUJ7NW51s2u9fLTDPHm4aNESiygM3gqwwmHh5HzDKpsIPEk7Zydzlq6+ +Hb1lqiUSPDxA/BwJV1fRxicaCjX0MTIQNPjBeXyFb1wcl1xvqhMAkBGKvUirW4y8zCxQgRgmM8O tHtyoCN7Bya3aPe47mElGQpCBcXdRPV2VWc/wFUC5wcMAPl7xBodHVerc0MfLkqL1xNNjOX0lf2x MlFdK2tEXw/1rbK9HmbzM2AAgQ3IQLLDM3mlL+2q4IDA7+jZ4/v09PQtDsq/ZmZmPqKFun15qnl7 nyJg5iRpINf/0AydBld6DG/XWz3K5fwaIA64pnsh77asstro6Z35NZVHh3R8X0aJGiaW3FRB67W6 fvKbmo7vL6nT6ZoGC2nDv/xoTf/w1xNGzhNdEc2cmm+YxznpXNzravdkhNBKO6cLOvqYzEzPBjdU e/rd+YbeOlu39JJGYiQQ9PE9Npuz6Io79+zxkp5/bcv0VdxpNE7wWqzr6zhfRKaiv3y9YT//6W82 LYpCp4W5IAp2AIMhqn/5rYqJXHF/gIc7tq9gQHlmfkNnzt+wr7nZMf3N90dVKWeMTMdx9euPl83z CjtoigFEQiP5hgbtli5d5m+c01sXivr+MyNaukzk3TLebX4JC6JY36JHs9634gRpa5wtarRS1laj rjMLHe3dmdGTh8saKXKNVTvW9vqcpoRuuufaqXSbDD/3qMqjKf5PeM53gM7lDg5q3gh9t4jnbj/3 57hSPS1IdSAjrXRS3c83Td6nB208zOU83b0ey1xZG1uaHhtoeqqlRPhS5dWPqAYCBl2bVEwqeMNa UiC1+0aSIyglYkIZDkgQtRD58JxGk3vVValYV7OT056Zon70q3XTTsFJISgl0iJCQwGPIBNFPPon Bk+QCgJsNCLjTUXV8BdvbBnY9AcDLSx1LHIiumNx64l2EGCGSTsyzy16H4/sCxXLciGxSc68jb7x lbIdc+jEqNTv6dS5dS1cWtPuXWNaWEqM0GcE2oXLLas2zk7E2jnW1t6pglrtrC4s9rW0Gjyv5pe6 mplo69UzNYsKT+wvmAc8zdOncFW91jGgfuNsohfe3NITB7OaHIl17LFEQ+Wgzu+1e3aN2/2En2PA cnkBgEB05fyUCzo94vGIK028p22N003MD7K8Ekl66JbOno66Horz83NOR1fp9NU5Lk9JH9by9PDj FuljSLWlYo4IM6veIKsPVyIbuGAN0JWMdk9nrQEZ3orJx1iiPHO0ZIJKro40EftguJqXT9ZMaFpr 4hc/MPI+X0BcWzBwwxV0IsoYZ0Xqxgb/6hF6AyP7N7cNgMpmYouYkDFw72h0JsJKkkjrm6jlg+wA XotLBfiwYCb1stH1sNcDaf8shnr4b2E02Fe9FauYCxVEAJbXLZWK+vKhmx+O3Yb2TFXMf/7nr3d0 YHdOB2bzuraGPD2n80t9zYzzN2QoBWPoZcfkHgKmWNMAwKSeAFEwQezpzAKFGmlmPPBvL51sa25X UUeniSbD/QZwtwHrC1IldGBiecOvRzFEVU6Ce4RBxONarDSA+Pe00+m9bO70YFWP7NzO+XaQSjcz O+B6hOgN13eyRH4YKz1RyKNQB32/X5lsUSsb6xoUInMOWFjq2qc9infOf6ScsaoY5DpVurECrxWU 7azKcGyaJKIZ0ibAC4AoGM9E2xLEfmRkOepxAIVUELDA/cAGlw6wWOnZ5p0cC9bDtMjQN8ixiMYA SMBjvo+IM2ecFeQ9ERdyBpT6+2bCtBvAiNf88sGikf4ck2Zn7zX871c2LY2kp3HvTFbHDlTUaub0 +4UNddo1NRpdrdeoNEZmm9wdzWi8UrDXmBzPqVzsa/F63YAS8CPaZEr1+EjbgBf7GQAMO2nO+8r1 WIvL6Kzg6jp6+1xLT7cz2lFp6/rawOxzNtbbmt2Rsw+H7fU5BywHpHTTr/u1p+07nD9yOYErzB3s fAN7VdG1WB+XPqWJdY+aHPTSMgl/7J3O3wWorqx3qcXDXOlxYR8dJxaKGFx/p5eYMNRAibaWWrAO 5swAFUZ1EbFYapOLbaPPX2pb9BWEnh2rLMIRUdk7dqBgjgqr13ummyqUaMUJvX/wQ7wWURhyBjY7 pLpFIvXQK4iVC+PebaxYObFBDcgoeMzRfXnzvuK2oQPbrDG5pm9TfPZOMfghY3bLXCs8FgB5/sMw Xt7MCeux8V+0IMG/cU6cQ54PkAiP+owuX9vU1GhBczuLNraM+wLgUiigwXpuJm/R2r7rIUV2rzA8 8DlHzp/zIy1sXu3bfdozjfV00yqtpIek2bQ1hUiwZ0M1iklTTxwgGgwfCNvrCwJYLB+3lW6IdpBy DyqWOzp4Kufpo2umXBLgr3Ev606R1L08x6NCrgOpxO0TfB7W8sqhAzRg7b7yIbps6cTBiiYmCjYe HjAhuqGNhqERAAfSBuxZGO3FWCtSPyp0v7/Y1Kuna2aDjKzgH/9uUv9zsmYbd6iECDRYJR/ZW7BN je8UC+M7evcAiyOkk2z07kBXr3eM+3n3fcjrjDkoEE2trgf3UQCCah3NxoClDYXAHz4z0Kn5lpKL GdM2MVb+8f0Fvflu3YoEXyvFxi0RIZHa0v6DtztACM/08mbNwK5SLml8pKso7mn3TKLpCQouod3n uV+v6XtPD93Sg9Fy9Ku3qgZIhSzXGRlILmTa+tlrW5r7oGXXv39X3sAYDRtmg7QMPffixi2w3qh2 dG21q30TNE5j00OT+UN9S2yvO6xHNgLEN7x7sLMZ4SMALh9FDyh5ROP6KP4NsPF8nxv4sJdLJmjr QWqRTl0f1gIcuTdUWn3s2EfTY/osUctXtLJOG02s7z09bJomQAKgAXBoyWFDEVGQ1jz36w0Dt6eO BD6LjcZ8PiQEPFe4GlQy6iWRfvnmpgEeURAuBoAOGip84bFk5k8YpAeRxkeyqh8sGtdElbDR2rR2 HBTwz79eNSeEwSC01hBd1Vt84AxUyvdNihAm3vQNmIIffV8/fnHDoiMuGfmEDUKtJKaFohoJDwdo nn2/oddORyokLVWGGiYAPb+I1gvb57w5Tpw837TIjSnP//T30/rxSxvmrsq9AWRpG4KnAtxIFbHW wSaawR2ksaV8ZOk20SP3iw+AdxaqWlnuaagcmQB1W/H+6Nc9737nf+6nMdhBBv6KTc8CfIgm0G6x MYkqvKqH3AHAut2j3dfDBIw7RVqcI+eO4BRA8Uqin5s7O/yp5+UN41wr9+lOUSRk78p6R6c/3NR7 i5GGy1jD9LVsrTqBS/IUjp+T0rDZ0GjB1eDQSSSGu+h//HLDNuTsJB5ikUkeRsfyNvXGiO9638zv aEnBVA/NFZEHqnaIeMALoScSgB/9asOAk00OwHDuVBLxXYeXop+RkV1H5woGSkR6vT5jvvrK94Pt DFEcr8s1BA0YLhAwZZGWrncNeOHFiBaJ3vDyOrxvWO1mpDPzW7q4vKVmt6SDewp2vkSRWNBwHRQA nn+Nli5ZEQKwWl3v6dxiy6Qdr52p2/3hmN98omznSeUTfRYyC+471dU3zjbs/LqNjDargP3gZlS7 vT6TgHW/cwjZxK7Ncp2UVwm9XSVdIQTEXBB6txFej3K5botzI/LxgoIr9l217lN9nIt7kJV2cb1b BAl4VIZyypdiXbgSpApEOjQjs6kmxjLmODpc7tkGx0vd1N/dgda2ulpZz1m0Y6O7cpFmp3IGRFeZ VpNEinOhCZoxYrw2oAcAcVxIciISOCvU7Jwvr8lxnzoSKm3IFGjR4XkA57OP03w+MPsb0jKqjYDC KGJXole4ra2OWqOJ8W1Ef3zn2Jyz+1xB2AMLHBOSnmMe2pPTGLMTm3zhOd9Qtti36IzUlGGzkOlP Hy3aPYCDAjwZbw/4AEiknZwvgltAkIW41abt9Po2VQdAAogh/Hn82Yuxfvpy8JlH1kET9PZ6tOu+ 8qu7gZaTxenfs/GIoIiY0o6h6Y3p+icnu72FxyURjyqi+jiphMszbq86OpC5S4Q/9uPA1p/ran+W N33fjaPLZBKNjhCJZfTMsYwWrjA9OcwjtL7IJPS90fRMxYz0ie8IMwEi+CVzKK33bUgDR0GgCS8D B5XFNeFK2wAQ7gnOJ5gewnMFq2Neh1YdoiLSPA0iU5W/fKpmYMDvqegBFnhQEeXBoyFwBTQAKkCw 3YlVbQCKXYuaknigrDlSBIU+d4RznR4Pzg87d6C654NioPFKYtcFWCzfiDU7VdRWvStmpo4Nx3Ys 2oQAHiLAQX9wc65i3wZnANao7wFpwA+Q5LyJwDhHbj9Fg/XNhsq5lkbL0kgp0kylq3Kmp0tL9Btu T4D+tNZ9E0JOYqfN6Vy5nR45n26A9mERdsC7TI3h8bTLeFUx7af+aS/XiDmosBy03FDQhag+yist ofCUl+Wgx+O9yMC1E4H+MdU7Y+2zuYKlfHtnilq83taCzSMcmLkd2iKIZtw/OSy8C3wO1TO4HKIV vLCo8JF+0ahMds9jATcAqlwIQk8jlOOb9jhgbySdu9QKzp5zjO6Cz0pM6MmixI+uidfGMI/fEykB HuibiJhIp+DdSF8B2s06EomBbmwBpF2VCm7rE5ghzqmM3ekfWVQgmdlIO1EU4+mOtoyKX2IThWgr sujMXFtplO5pRInGd9BIHumD5bbyWVxVkXDI0tz+TYnIoCfN7gCsQlTdbdc1nKvrmcO0GQUpxfb6 jAOWRxzwUg4s/JtNDMcDQc1yEp0Nebvb5p3AygHKDfb+FEviR7UckABj7gkARMSEx1Z6EpBXRtPN z25rA0d2r03XWLpEcUbnFzeVZLNW8SMqYDNiZvfK6ZrJAiDLScnoowSsdFP2AFgwiLTa7BunBFmO xAEvc3gr0j5Ll7Z6Nm8QeQADHiCXR8uxNTS/2q9bHyHDH1CgU/7nBCCzkVLQiI1V8Zu/p+qXGMCR VqFo+cUbVUutltdwW4jMWma4lLGBqzQUF/PBveFeF9EQn5lEdBQNxkfzeuO9vr56hIozYNk34CUt JbKCd4PgJ3LLxEGfRgpNqgjQPnss+K698NaWXn+nbuPO8sWSWU47jVGtNWxARvjbfrbfn1/Udd+A 5TIDjwY8HXQ+CtLYzfoetFfvsw5Wd+PrSH+5flfXswAnCg1o0txqB14v3bB9LyukU4n2T7U1u7ug 4aGB5hfbxuXY7L3prFbWe1bNorL3yum6JkaDd9Ppef6N02cYGUZ/ILwTTg60tFy80tKNRt00SGiy IJ5RskNYkzYii0CGQFRGBQ61OvbKVAXbnaBhIk0jOiMN/O5Tw/r3n6+ZSJWoD0AAOP7q2xXlMozm 6tqsw507MvrOV4c0VLw/fpRby7X+7lxdlWJkTeBr1Z72zOQNeADD9VrPzPx+eWrLQIkoFAdTQJoo j1SUlPDMhZp2TeUMhEHfY/uyOjoX68z5TdEYEZv7R6Axup22RVz4xecz2Obc91tlez3KKiEbk+Zh 52mci2FTElkQIaUrfP/fllcXXaLhU3+4b4BUemTYgxUVIl1ba2u5VteZi4xOH5h9ygtvVY3fIS0j rSF6oMR/aHfeAI1QBFAh8kCiQCUN0ILQbtWDhISUidRopJRYJZEIi+gI8SUODKRfAB7iUsbWs9mp xpFuNjsD441IUam8MdwC80CIdECM1JBexldP1UwrhQaM5+cy0m/eqdtrxGqYwyntLwAjPBkLsh8w 9M8wJAiLK/QE1i0ybDZa1tBNO09ltGiqdTg0rg1+CmU9KSKOpoA0i1tPykqQxPHmkr6Gi0xRaqpe hZcc0Xf+bIfKhYHaLey8gz6ONVSU1leowsbmjLG99EjX/wHm5A/qKWUvGQAAAABJRU5ErkJggg==