20251003 08124900 1.0 TRUE ExportFeatures HPMS_FULL_PA_2024 D:\Work\Spatial\2024FullSpatialJoins.gdb\HPMS_FULL_PA_2024 # NOT_USE_ALIAS "DataYear "DataYear" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,DataYear,-1,-1;StateId "StateId" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,StateId,-1,-1;RouteId "RouteId" true true false 120 Text 0 0,First,#,HPMS_FULL_PA_2024,RouteId,0,119;BeginPoint "BeginPoint" true true false 8 Double 4 9,First,#,HPMS_FULL_PA_2024,BeginPoint,-1,-1;EndPoint "EndPoint" true true false 8 Double 4 9,First,#,HPMS_FULL_PA_2024,EndPoint,-1,-1;FSystem_VN "FSystem_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,FSystem_VN,-1,-1;RouteNumber "RouteNumber" true true false 4 Long 0 10,First,#,HPMS_FULL_PA_2024,RouteNumber,-1,-1;RouteName "RouteName" true true false 60 Text 0 0,First,#,HPMS_FULL_PA_2024,RouteName,0,59;RouteQualifier "RouteQualifier" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,RouteQualifier,-1,-1;RouteSigning "RouteSigning" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,RouteSigning,-1,-1;NHS_VN "NHS_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,NHS_VN,-1,-1;StrahnetType_VN "StrahnetType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,StrahnetType_VN,-1,-1;NN_VN "NN_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,NN_VN,-1,-1;NHFN_VN "NHFN_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,NHFN_VN,-1,-1;UrbanId_VN "UrbanId_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_PA_2024,UrbanId_VN,-1,-1;FacilityType_VN "FacilityType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,FacilityType_VN,-1,-1;StructureType_VN "StructureType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,StructureType_VN,-1,-1;Ownership_VN "Ownership_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,Ownership_VN,-1,-1;CountyId_VN "CountyId_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,CountyId_VN,-1,-1;MaintenanceOperations_VN "MaintenanceOperations_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,MaintenanceOperations_VN,-1,-1;IsRestricted_VN "IsRestricted_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,IsRestricted_VN,-1,-1;ThroughLanes_VN "ThroughLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,ThroughLanes_VN,-1,-1;ManagedLanesType_VN "ManagedLanesType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,ManagedLanesType_VN,-1,-1;ManagedLanes_VN "ManagedLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,ManagedLanes_VN,-1,-1;PeakLanes_VN "PeakLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,PeakLanes_VN,-1,-1;CounterPeakLanes_VN "CounterPeakLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,CounterPeakLanes_VN,-1,-1;TollId_VN "TollId_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,TollId_VN,-1,-1;LaneWidth_VN "LaneWidth_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,LaneWidth_VN,-1,-1;MedianType_VN "MedianType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,MedianType_VN,-1,-1;MedianWidth_VN "MedianWidth_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,MedianWidth_VN,-1,-1;ShoulderType_VN "ShoulderType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,ShoulderType_VN,-1,-1;ShoulderWidthR_VN "ShoulderWidthR_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,ShoulderWidthR_VN,-1,-1;ShoulderWidthL_VN "ShoulderWidthL_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,ShoulderWidthL_VN,-1,-1;PeakParking_VN "PeakParking_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,PeakParking_VN,-1,-1;DirThroughLanes_VN "DirThroughLanes_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,DirThroughLanes_VN,-1,-1;TurnLanesR_VN "TurnLanesR_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,TurnLanesR_VN,-1,-1;TurnLanesL_VN "TurnLanesL_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,TurnLanesL_VN,-1,-1;SignalType_VN "SignalType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,SignalType_VN,-1,-1;PctGreenTime_VN "PctGreenTime_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,PctGreenTime_VN,-1,-1;NumberSignals_VN "NumberSignals_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,NumberSignals_VN,-1,-1;StopSigns_VN "StopSigns_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,StopSigns_VN,-1,-1;AtGradeOther_VN "AtGradeOther_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,AtGradeOther_VN,-1,-1;AADT_VN "AADT_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_PA_2024,AADT_VN,-1,-1;AADT_VT "AADT_VT" true true false 1 Text 0 0,First,#,HPMS_FULL_PA_2024,AADT_VT,0,0;AADT_VD "AADT_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_PA_2024,AADT_VD,-1,-1;AADTSingleUnit_VN "AADTSingleUnit_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_PA_2024,AADTSingleUnit_VN,-1,-1;AADTSingleUnit_VT "AADTSingleUnit_VT" true true false 1 Text 0 0,First,#,HPMS_FULL_PA_2024,AADTSingleUnit_VT,0,0;AADTSingleUnit_VD "AADTSingleUnit_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_PA_2024,AADTSingleUnit_VD,-1,-1;AADTCombination_VN "AADTCombination_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_PA_2024,AADTCombination_VN,-1,-1;AADTCombination_VT "AADTCombination_VT" true true false 1 Text 0 0,First,#,HPMS_FULL_PA_2024,AADTCombination_VT,0,0;AADTCombination_VD "AADTCombination_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_PA_2024,AADTCombination_VD,-1,-1;PCTDHSingle_VN "PCTDHSingle_VN" true true false 4 Float 2 6,First,#,HPMS_FULL_PA_2024,PCTDHSingle_VN,-1,-1;PCTDHCombination_VN "PCTDHCombination_VN" true true false 4 Float 2 6,First,#,HPMS_FULL_PA_2024,PCTDHCombination_VN,-1,-1;KFactor_VN "KFactor_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,KFactor_VN,-1,-1;DirFactor_VN "DirFactor_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,DirFactor_VN,-1,-1;FutureAADT_VN "FutureAADT_VN" true true false 4 Long 0 10,First,#,HPMS_FULL_PA_2024,FutureAADT_VN,-1,-1;FutureAADT_VD "FutureAADT_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_PA_2024,FutureAADT_VD,-1,-1;AccessControl_VN "AccessControl_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,AccessControl_VN,-1,-1;SpeedLimit_VN "SpeedLimit_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,SpeedLimit_VN,-1,-1;IRI_VN "IRI_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_PA_2024,IRI_VN,-1,-1;IRI_VT "IRI_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_PA_2024,IRI_VT,0,49;IRI_VD "IRI_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_PA_2024,IRI_VD,-1,-1;PSR_VN "PSR_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_PA_2024,PSR_VN,-1,-1;PSR_VT "PSR_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_PA_2024,PSR_VT,0,49;PSR_VD "PSR_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_PA_2024,PSR_VD,-1,-1;SurfaceType_VN "SurfaceType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,SurfaceType_VN,-1,-1;Rutting_VN "Rutting_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_PA_2024,Rutting_VN,-1,-1;Rutting_VT "Rutting_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_PA_2024,Rutting_VT,0,49;Rutting_VD "Rutting_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_PA_2024,Rutting_VD,-1,-1;Faulting_VN "Faulting_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_PA_2024,Faulting_VN,-1,-1;Faulting_VT "Faulting_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_PA_2024,Faulting_VT,0,49;Faulting_VD "Faulting_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_PA_2024,Faulting_VD,-1,-1;CrackingPercent_VN "CrackingPercent_VN" true true false 8 Double 3 10,First,#,HPMS_FULL_PA_2024,CrackingPercent_VN,-1,-1;CrackingPercent_VT "CrackingPercent_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_PA_2024,CrackingPercent_VT,0,49;CrackingPercent_VD "CrackingPercent_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_PA_2024,CrackingPercent_VD,-1,-1;YearLastImprovement_VD "YearLastImprovement_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_PA_2024,YearLastImprovement_VD,-1,-1;YearLastConstruction_VD "YearLastConstruction_VD" true true false 8 DateOnly 0 0,First,#,HPMS_FULL_PA_2024,YearLastConstruction_VD,-1,-1;LastOverlayThickness_VN "LastOverlayThickness_VN" true true false 4 Float 1 3,First,#,HPMS_FULL_PA_2024,LastOverlayThickness_VN,-1,-1;ThicknessRigid_VN "ThicknessRigid_VN" true true false 4 Float 1 3,First,#,HPMS_FULL_PA_2024,ThicknessRigid_VN,-1,-1;ThicknessFlexible_VN "ThicknessFlexible_VN" true true false 4 Float 1 3,First,#,HPMS_FULL_PA_2024,ThicknessFlexible_VN,-1,-1;BaseType_VN "BaseType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,BaseType_VN,-1,-1;BaseThickness_VN "BaseThickness_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,BaseThickness_VN,-1,-1;SoilType_VN "SoilType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,SoilType_VN,-1,-1;WideningPotential_VN "WideningPotential_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,WideningPotential_VN,-1,-1;WideningPotential_VT "WideningPotential_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_PA_2024,WideningPotential_VT,0,49;CurvesA_VN "CurvesA_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_PA_2024,CurvesA_VN,-1,-1;CurvesB_VN "CurvesB_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_PA_2024,CurvesB_VN,-1,-1;CurvesC_VN "CurvesC_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_PA_2024,CurvesC_VN,-1,-1;CurvesD_VN "CurvesD_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_PA_2024,CurvesD_VN,-1,-1;CurvesE_VN "CurvesE_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_PA_2024,CurvesE_VN,-1,-1;CurvesF_VN "CurvesF_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_PA_2024,CurvesF_VN,-1,-1;TerrainType_VN "TerrainType_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,TerrainType_VN,-1,-1;GradesA_VN "GradesA_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_PA_2024,GradesA_VN,-1,-1;GradesB_VN "GradesB_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_PA_2024,GradesB_VN,-1,-1;GradesC_VN "GradesC_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_PA_2024,GradesC_VN,-1,-1;GradesD_VN "GradesD_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_PA_2024,GradesD_VN,-1,-1;GradesE_VN "GradesE_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_PA_2024,GradesE_VN,-1,-1;GradesF_VN "GradesF_VN" true true false 8 Double 4 11,First,#,HPMS_FULL_PA_2024,GradesF_VN,-1,-1;PctPassSight_VN "PctPassSight_VN" true true false 2 Short 0 2,First,#,HPMS_FULL_PA_2024,PctPassSight_VN,-1,-1;TravelTimeCode_VT "TravelTimeCode_VT" true true false 50 Text 0 0,First,#,HPMS_FULL_PA_2024,TravelTimeCode_VT,0,49;SampleId "SampleId" true true false 12 Text 0 0,First,#,HPMS_FULL_PA_2024,SampleId,0,11;ExpansionFactor "ExpansionFactor" true true false 8 Double 3 10,First,#,HPMS_FULL_PA_2024,ExpansionFactor,-1,-1;SectionLength "SectionLength" true true false 8 Double 4 10,First,#,HPMS_FULL_PA_2024,SectionLength,-1,-1" # AlterField HPMS_FULL_PA_2024 DataYear DATA_YEAR DATA_YEAR # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 StateId STATE_ID STATE_ID # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 RouteId ROUTE_ID ROUTE_ID # 120 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 BeginPoint BEGIN_POINT BEGIN_POINT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 EndPoint END_POINT END_POINT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 FSystem_VN F_SYSTEM F_SYSTEM # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 RouteNumber ROUTENUMBER ROUTENUMBER # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 RouteName ROUTENAME ROUTENAME # 60 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 RouteQualifier ROUTEQUALIFIER ROUTEQUALIFIER # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 RouteSigning ROUTESIGNING ROUTESIGNING # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 NHS_VN NHS NHS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 StrahnetType_VN STRAHNET_TYPE STRAHNET_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 NN_VN NN NN # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 NHFN_VN NHFN NHFN # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 UrbanId_VN URBAN_ID URBAN_ID # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 FacilityType_VN FACILITY_TYPE FACILITY_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 StructureType_VN STRUCTURE_TYPE STRUCTURE_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 Ownership_VN OWNERSHIP OWNERSHIP # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 CountyId_VN COUNTY_ID COUNTY_ID # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 MaintenanceOperations_VN MAINTENANCE_OPERATIONS MAINTENANCE_OPERATIONS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 IsRestricted_VN IS_RESTRICTED IS_RESTRICTED # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 ThroughLanes_VN THROUGH_LANES THROUGH_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 ManagedLanesType_VN MANAGED_LANES_TYPE MANAGED_LANES_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 ManagedLanes_VN MANAGED_LANES MANAGED_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 PeakLanes_VN PEAK_LANES PEAK_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 CounterPeakLanes_VN COUNTER_PEAK_LANES COUNTER_PEAK_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 TollId_VN TOLL_ID TOLL_ID # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 LaneWidth_VN LANE_WIDTH LANE_WIDTH # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 MedianType_VN MEDIAN_TYPE MEDIAN_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 MedianWidth_VN MEDIAN_WIDTH MEDIAN_WIDTH # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 ShoulderType_VN SHOULDER_TYPE SHOULDER_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 ShoulderWidthR_VN SHOULDER_WIDTH_R SHOULDER_WIDTH_R # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 ShoulderWidthL_VN SHOULDER_WIDTH_L SHOULDER_WIDTH_L # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 PeakParking_VN PEAK_PARKING PEAK_PARKING # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 DirThroughLanes_VN DIR_THROUGH_LANES DIR_THROUGH_LANES # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 TurnLanesR_VN TURN_LANES_R TURN_LANES_R # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 TurnLanesL_VN TURN_LANES_L TURN_LANES_L # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 SignalType_VN SIGNAL_TYPE SIGNAL_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 PctGreenTime_VN PCT_GREEN_TIME PCT_GREEN_TIME # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 NumberSignals_VN NUMBER_SIGNALS NUMBER_SIGNALS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 StopSigns_VN STOP_SIGNS STOP_SIGNS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 AtGradeOther_VN AT_GRADE_OTHER AT_GRADE_OTHER # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 AADT_VN AADT AADT # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 AADTSingleUnit_VN AADT_SINGLE_UNIT AADT_SINGLE_UNIT # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 AADTSingleUnit_VT AADT_SINGLE_UNIT_VT AADT_SINGLE_UNIT_VT # 1 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 AADTSingleUnit_VD AADT_SINGLE_UNIT_VD AADT_SINGLE_UNIT_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 AADTCombination_VN AADT_COMBINATION AADT_COMBINATION # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 AADTCombination_VT AADT_COMBINATION_VT AADT_COMBINATION_VT # 1 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 AADTCombination_VD AADT_COMBINATION_VD AADT_COMBINATION_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 PCTDHSingle_VN PCT_DH_SINGLE PCT_DH_SINGLE # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 PCTDHCombination_VN PCT_DH_COMBINATION PCT_DH_COMBINATION # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 KFactor_VN K_FACTOR K_FACTOR # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 DirFactor_VN DIR_FACTOR DIR_FACTOR # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 FutureAADT_VN FUTURE_AADT FUTURE_AADT # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 FutureAADT_VD FUTURE_AADT_VD FUTURE_AADT_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 AccessControl_VN ACCESS_CONTROL ACCESS_CONTROL # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 SpeedLimit_VN SPEED_LIMIT SPEED_LIMIT # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 IRI_VN IRI IRI # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 PSR_VN PSR PSR # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 SurfaceType_VN SURFACE_TYPE SURFACE_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 Rutting_VN RUTTING RUTTING # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 Rutting_VT RUTTING_VT RUTTING_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 Rutting_VD RUTTING_VD RUTTING_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 Faulting_VN FAULTING FAULTING # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 Faulting_VT FAULTING_VT FAULTING_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 Faulting_VD FAULTING_VD FAULTING_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 CrackingPercent_VN CRACKING_PERCENT CRACKING_PERCENT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 CrackingPercent_VT CRACKING_PERCENT_VT CRACKING_PERCENT_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 CrackingPercent_VD CRACKING_PERCENT_VD CRACKING_PERCENT_VD # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 YearLastImprovement_VD YEAR_LAST_IMPROVEMENT YEAR_LAST_IMPROVEMENT # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 YearLastConstruction_VD YEAR_LAST_CONSTRUCTION YEAR_LAST_CONSTRUCTION # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 LastOverlayThickness_VN LAST_OVERLAY_THICKNESS LAST_OVERLAY_THICKNESS # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 ThicknessRigid_VN THICKNESS_RIGID THICKNESS_RIGID # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 ThicknessFlexible_VN THICKNESS_FLEXIBLE THICKNESS_FLEXIBLE # 4 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 BaseType_VN BASE_TYPE BASE_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 BaseThickness_VN BASE_THICKNESS BASE_THICKNESS # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 SoilType_VN SOIL_TYPE SOIL_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 WideningPotential_VN WIDENING_POTENTIAL WIDENING_POTENTIAL # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 WideningPotential_VT WIDENING_POTENTIAL_VT WIDENING_POTENTIAL_VT # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 CurvesA_VN CURVES_A CURVES_A # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 CurvesB_VN CURVES_B CURVES_B # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 CurvesC_VN CURVES_C CURVES_C # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 CurvesD_VN CURVES_D CURVES_D # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 CurvesE_VN CURVES_E CURVES_E # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 CurvesF_VN CURVES_F CURVES_F # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 TerrainType_VN TERRAIN_TYPE TERRAIN_TYPE # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 GradesA_VN GRADES_A GRADES_A # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 GradesB_VN GRADES_B GRADES_B # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 GradesC_VN GRADES_C GRADES_C # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 GradesD_VN GRADES_D GRADES_D # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 GradesE_VN GRADES_E GRADES_E # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 GradesF_VN GRADES_F GRADES_F # 8 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 PctPassSight_VN PCT_PASS_SIGHT PCT_PASS_SIGHT # 2 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 TravelTimeCode_VT TRAVEL_TIME_CODE TRAVEL_TIME_CODE # 50 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 SampleId SAMPLE_ID SAMPLE_ID # 12 NULLABLE DO_NOT_CLEAR AlterField HPMS_FULL_PA_2024 ExpansionFactor EXPANSION_FACTOR EXPANSION_FACTOR # 8 NULLABLE DO_NOT_CLEAR HPMS 2024 PA Pennsylvania Full intersection of Pennsylvania 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_PA_2024 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzsveeTnNeV5nnyzTd9lndAoeABgt6LlESZltTSSN293R07E2M2 JjY6NnZ3Yv+P/Rf2w36Y2NmY2I7tmOmJmW61entEeYqS6B0I710Vyleld+/G7zl5wRoIJAGw2ATI vIwKEIXM19x77nOeY29cr9cTG4y7Go1Gw65du2YrKysWxxmbmZm2iYkJy2Qygxm9j0an07EoivRz pyNJEmu321rzVCr1qTzfYHwwYruHB8IQhKDb7VqtVrNer2flctnS6fRn/XiWz+dt7969tnv3bltf X7fNzU094/Dw8EB47yOwQuEUi0UrlUp3vG7I49LSkgBrcnJysO5fNMBCW9Xrdf1/oVC4wVYAKIAK 4FpeXpY2RMAAjc9SswXNzPM1m009/1agHYx7ewR5Y/2Qtw9ThKwpsseI4w+2DeuczWZtcXHxBugN xhcIsBAGgIlx86bn7/z7+Pi4NFulUhFIoCVhNXdKyxHCm69/J99F2ANA8SwIND83X3cw7t3BmrNm q6urkp+hoaFbygEyxmdarZbt3LnzBrChrJC9tbU1KVJA725My8G4TwELYblZYIJ2408Aix/+f2Rk RL+H0iNQW31HQcAw0xgwscDY8D1tbGzc8F0ERoSmzOVyAiGAkP/nHmhNPsvvq9WqzD4GnwE4uUa9 3rB0OtK1+T3adjDubgAKrB3zD4DcifnPerC2/LB2/HzUYM2RDRQOa/xh7JhnQO6C2c9zhcHvx8bG bH5+3hYWFmx6evqecFl8Hsc9B1hB6BAeNj+AhJBA2wOo4NhGyAAGwAoBQtAQUv5E0Pk830P4GXwG YOEafOZWwsl3AoDxDPwdQUY4uQ7343n4t/CcW02EwLT4OwLLcwzGnQ/mmLW/Wyc464Qs8P2PAyw+ gyyhiFhj7n2r+4bPBdBCiYXPhfsgSzCtq1ev2tTUlNZ/4Br4HAEWGz4AQDCvAosBUAKr4v8DOCCM CDOAwO8QMj4DcIWBAIXrBvMsmGs3j63mWwCqMMJ3Arht/bdgnvZ6gF4k9tbptH/vvp/nwbywHsw3 779dAxlgDlnjO93wfB4WvdXn9FEjfO52zHmuy3uiyAKzDgNZALT4d5Qj8oipCNMemIj3CWCFTR7Y CosKQ4KFADqATQCcsMkDu/owweHf2SQ3D77zaY0g+GyGQPXd9GtJiB08PwCqrSzs8zxYB9Z1Ox3N rCPycbeAxWANtsrUh12Df4MREeEFVACXrQ71mwf/xmd45xAN3jqC4x6ZQK55D8YAtH5/BGICa+Xn HwWwWHAWhs0bgCYIR2BPwc8T/o1F5zuBNd3rG5tnDqYkk4xA8vwAb3j2btcBNoBsiBZ+nkcIOjA+ apPf6TUBEOQJM5y5vlPA2urvZB1Yqw8zzZFBzDvux6YBaD6KDfEsfI6gECAXGNfNI7gEuBbX53sD Z/yt5z6sz+2u811LGgKBliEHBcG42WQKG/h+jZqFVIXAAvl/BHQre+IzN4NuiHJ+3v1X4b2Zg+0C rKD8ACvMq7tJwA1KkecKKQsol1ttCNYymJ/BHXGzqXfzCOk1YcN9WFpNALcQRb4f98CnOcKcwz7v RCndlaSxWGgYtGFI5vw8jMCkeJ/gC+l0upbJuKM+sIpbCWDQomw0TIXPO2AFBbVd/pkgU4DL3aSo hMF3mHuAJfjYbvf+AObHvVMI/IyOjt4Wi2ZDMlcDP9YHI1hcIY3kTkZ8tyFnfm5XGO4Hky+AUfBT 8bvgFwsO/lsBM8ILUKFNEU7+Hw3/eY8OMT+8O+OTJspuNQXJsfswRnSnDCtEbbnmrdga68q9QgT6 dn1mARRv5zkH6Q0fzaSDDH0qgMWNMAERrvvZR7MVpIKAYx4EYNoaLHCz9tabNbABQIr/v1sn8f04 gpN6O7L6kSscsFxvOyoXgpkaggIwN0DrZpbDZ2BKYQPxJ3IdmPbHjS/KWm/3CCz2boI1HwtYIa0g pBPArD7NiNynn5Dqmc3drgvm1hyqwKxCwOBWA62ADyMAVjA/vohjO31XQYC3Yy65BqZ5qIIgxeBW ZVz8P78n6ZMsdXxSPAd//7yb9J/lYN8wz3fjo/xQiQsmEj4qfkJk734Dq62Z82GDkYKAC2pr6Pt2 cnaYaApcAayBT2L72drd+K2CL/FmIAKw+DfYFYoWq+BWGeihtCbk8vH5UE3xRVVEn/YI83tX373V L0NnBLKF8QGEbPH7zeQLZt3W1IRARz/KL/Vh1wSotmY4D8b2jJBScKdCHJg/39vKiIJjHOWytWKB ColbgVAwDUNhPZ8FQAflVffe+D0JYdEAqlDycj9FALeWSiCY7Tb5UZ6GgBDfKmP9dgYCjSmIUA/A avsHa3WnbGZrCQ7rcqsRyrDC5z8qtYD7A1AhLwvZB0gH630PAxYLivMTsApZuveLybeVTX3w4+UU AaRux+y7eYTCVrTzwK/x2Y+bS6dCxO7DRrAOblVUf/MAoGDQ+GkBLBj1nWRhD8anP+LgkwpZ69jw IcwbNNS9lvS2VfgApABW5Ezx663m4Cd59lDUOjMzM/Bn3AMjsCrWFZOPvwcH7oeNICchoPJxygl/ Fr5bWBZ7IZiXg4jgvTHiUDSMEAQqHPw8gbl82Ka/2dF58+e2G+jC/T4IpXtKQuiykM97esLdMKlb 3Qsw/DC/x2B8doAVOiqgbD+O9QaGdLupCiFVA19WaEEUipoHcvDZj5ie5LcaH7fpQ6JdAI/AaoIW 29rC5ZOMrSYe4IT2C72pQl0i45PWJYZ3CH2P+BNhH5iB984IbH9rgflHrU+oPgiyc7sD0GL9YVi4 SMg9hHlhLg7Y1mc7PlEtYTAntwJKSJ4MbVnuZnxYp1F+QoU3IwDXdjCpkFMVokNb32Uw7r2yjq1V CB81gmzeScpEqANEHkKzR374f9jWnda/Dcb2jW3J/NvaLviTjCBcW7sj+DVxrLrjHGD5pLlgW9kU Qon2JNI0AKh7e4TgCWZh8C19lF9qa57d3TTTCwwtNPiDafEzOzs7OBnpi9pxdKsQhcxz/vRC1ETa bGujv096r9B1geuiLUMXyYHGvPdHaF2NbISI3seNreVXdzsCcBE1DAX/H9fJdDA+Z4AVWE7wfYVM esAkaEN6pG9XzSL34bqkKCBsd5P7Mxif3QB4MMkYO3bsuK0E3q0sjO9+ElMu5GmFyg/y8gY5Wl8A wNoKVAhTcKIHH1LoUbSdI7SxAKwG3R/vzxGaIrJ+MJ3bBR5kih/yClFUnwRkYHX0ag9dPQbjcwpY W0GK7PNw7mBog8vPdqQi3GoAhORRDbLU79+BQsPpjYyEwx5ud4Siakw5rvNJzP/Qu347+9cPxj0A WEEgAlB5hCaSluN3xWLJksT9Up8WUIVID2A1oO/370CpkV4Qzp680/5JDBgZeVWYcoOTbL7AgBWA KUT1gtMcyuy9hejb3rV8vtCn5h7h43SZT2sEByuMChPwsz4ZejA+2QidF7YeAHKnI7Ci4Cwf+J4+ 54C1Nd2AEVICKIWp1ar/TY9zMsMBq3BCDgMW1Wp53/dPa4RcGwQSsAIgbze7eTDu3fFJI3wMZHVu bu6GC2Iw7t8R3yq1YCtzCr2xK5XqFmCI+6UK3sdoa/ExZt/WY5YYnzZQAU6AVDAZBkA1GDePUHs4 UGD394iD9oKdhFNGwBfXbJ5YyWdKJT96PSTi3aqf+6ddS7h1bO15hI8iHNE0EMjB+CiZGYz7e8Th FOWQULmVLYUM9ptrAj/L7g1bTy0Jp9MMgGowBuMLxrDwO31Yx4XPur1McLiGQyzDaRuDUprBGIwv 1ojvJWAKg6fodM3aHbNCLmPTU57wGczT2wGqgb9iMAbj8zc+81rCraOXmNWbiV1eTOzdcylrdVL2 3WfMHnl48rYasIWBH44QNgmDg7ybwRiMz8/4zAELUldrml1fS9mZa2anr5otrse2VknbUKFtf/iM pyvczSnCABfn0YWeSIMxGINxf4/PDLDancSWNxK7eN3synLGWr28Xbye2G+PNq2Qj22omLbxoZ7F 8Z3XfoVKfg4UoCTDu5EOenMPxmDc7yP+tH1RN/OaVttstWJ2cTFt7503O3HJrNJI28hQZM12YoV8 xnZMZCyfJXcmtjhz5wdawsjIcg+HavDD7wZJg4MxGPf3iD8tMw9Ws1HtWSlvFqXMGi3YVGInLke2 Ws3a+espu7Jo1umlrJCLrNZIBFijQ2nL51IGsSoXIovvMjE5pD5gHgJYPE/I1xqMwRiM+3NsO2B1 u4mtVc2Gy7FdW25ZIdez5XWzC9cje+OU2dmFlI0Nx1ZtJra22bWhYsrSUcra3cR6dIaMI12jlIts 50RktfrvJ6je7gj9r8g1C6ethJSIwRiMwbj9ESpXPmsrZdsBa7PWs7UKfqm2vfxeYisVs4VVd6qf W8FAjOyxvNlwMbJ6o2fZOLKx4bRYVqng/qpKrWdJL7HNateqtbtvh+ydIYryX+GEx6dFIuzNeVwD h/xgDMbHN0/c2r780xxbD7+lDnlrhsC2ARZ5U4trPXvtZGLzKyk7O9+xYxcjm9+IzLopd2alU7Zn MrZMbHKqZ+KUxemUjQ2l9VMqpG2j2rU0h1j0EluvJpbJxtuSdApwMemYhyTJwr5C08DtjiKGCR8A 4WAwQtXI/VqR0W63VSPsp6m3b6vb68eN0PZ860HHYW68PbrXIW9tusD4RGjAvmy2TcBy+kpir582 e/VEZNeWU1ZpRu51Z6QdsMaLaRstR/p/nm20nBYjW9nwE3xXN7u2VukJvIZLkaV6GctmtmeBg3nI BIVDLEI/ru1MMg0LEQrHB+OLDVJby9zCEXL3A2glW47pwzoJXYCR7XCC1Z3KOPMQSv1CZ2HAj/mA SIScya0KP9QIfyLAIsGz3UnZRi2y10527epyZG+fSez9iymr1ANA9dGKxUmnbN9ELPCp1Hv6s11C 46SUKNrtET3s6U+c7Djp2+3E4qhnye/FGT/ZQQLhHLswMdtpEoYFCdp0ML6YY+vJPltZ/s1ytrWj yb3Gvnr9zivh9CosFPZPeN7QvfVOnpvrkNAdACv4xMKhM6Gjxke1Mb9twAL02l0y0c0262k7eTmx S0uxvfhGYqViTlG+XtI2Syc2Xo6s0UzEsHLZlOUyke3dwXHf9CYyS3r8mbJM2qyYT+mz+K2GS2lF BqdHY5sYSdvSasPy8fY2+9s6EdslIFs1Bn8OTgn+Yo9g0rABP4pRhTMWbzZ77pWR6gMtlsnNbaG3 mmx3cj0YEz5l9kroRsye4R6QiY+zdj4WsEg7WK8ktrieWK0R2Xo9trPzafvlO26+Ueu3d0fO1itd u7rYtqF8ZCOltEWpnsVRyibH0lYkbaHZsz0zWXt4f06AdXGhLYuxlO/Z1aWO52yl8IN1BXSlQsqi e9whHrpZoIkC7Wcx7kXhG4xPZ2w9hTqMoLQ+Tg4+aB9+78l5Op1WWtCHjbuRcQA8ROg/rC/+x81D fDOLwtxrtPynm8TWaKft/Qs9+/lbLWt3Y5sYLdjF6x2rNnoy44q5lANVMVKkL4yp0VhsacdErBws AA0kImWBzxULkaKAPOBQKZIDfr3asxMXGnalGNn1tbYdnqUgm89Br/sTlYqcSmN2wdgitFPKOt3E +I+PBQHgXENeysEwpX8Ln+lbyfqfXoLD74PvWf/6/U9YFKWt0+89z73iNDQYs7hrG+sbVqVusViy QoFWN7E6sXa7bs7qujeceX5F/U3mANqE/+V3vI+bx65xU9brJtbF94E7MPHfyb7vvxPXCr+7Yff3 f6e57nEPf2bdN+lpnmUO6+/+DFxf+y3lR655PzT/ngtQ/1k1j5HmRvNzk0kd3sf/6u+uefCPWpT2 65Njx9PqirqXs3H/K4pKE6RnCtfSWmr9TXPEP4TPfVCz3/9cKrwXLbsxafAp+jvy/Hq3VGKdG2vE 7/rz2s8hjNJ9eUk+WBP+zpxq9nxh9btGvW69BND64Di5ZrPlz6XnjLS+vk5BzkLDgQ/mGgUd3id8 l191Oi6fUYTsf8ButIHjSBF1fa7rz8We6Mp31v+73sV/F+YwPIP2TYjK9dfDrKdr8L9xOlbDznsF TwVYLAimXq2Z0s+1FbOrK2mrt3MWxVnlUZ2Zp5OoWTpOZLo1mkyIZNyW1rvaWBOjsa1vdmzvDpzl DlatFpPStQO7ckbAj9/jXF9Ybuv75F9tVntKFsVcnByN+xvJrFzM2GqlY79+/ZoV8ix6yrKZrGUz Pbu+3LB8NrLR4Yy0VKvVFqsjWTWdji2X9RN6mq2uNlccZ8wSCqpxJPbYFpZYun8YRttyGa6dtmzW KSp9530BU5bJ4vdqWTmXtk4vsR2Tectn03ZtqS5h5b7VZtvizcRarU19JhNzjFnG4ohl7+rd+U4v IUmW9A9vGY3PrtHy4MOeaVNumo5Ay2Vts9q2dqej4ERHkdbYOt2ONZuBkaZtuJyxTrtj1Xrbo65x RpHXdNS1Sq1j9ZZZPpfRGvc6bRsfpnV12tpdnKU926zw7lQbsHMyVmvQi79r5ULaYlUHgC4d63Ud 7JJUbLUGPhoCF72+4zUW6LXaHW3mXDZtliIKnFi305bfstNlrXJWqzfswKybSbw37L3Xa1urnUiW eK5Cls3bs1qjqzXg+vVG16JUV+tarevOSkr2wElinR7BnLSAopBzZdbtxbZjMmvXFitWyKWsUusz 4FRiw8Wubda6ChplsznLpHtWb/hzUG1RKGT1DDrlSX5W5CWySq2tNeV6+VysDdAm6pzFvcF756yX 1K2Y7Vq7AyDiaPfj7AAM7SGi1nlvMV5vYhKaFfJZK/F9w7XQ6+clpqUcl9fqAp1CPiu5WllvCGgQ gpnJguZ8tGx27iq5hikbG8lLybMeisIPZ7UmK+usdaJofC7rPuXFlYbkJMX5oEnami1yITs2M+7+ qTiTt71zo5a52wzubR5xJpO1peWWnb6SskvLWZtfS8tHRb4UZTQICWCycwKhJ9LhqDwznrG5mZTS E2BKvODvjlbt4f0F2zUV28omG6ZnZ6+2NAn7Z7PKs2LzbdScrbBhVzc7aiMzVIp1jR3jGTG2Qj5l zU7a3jrTtWuLmwIynmdkqGDTY2Y/fXVdJTzTE1kJ+XChp3Keo+caVm9GNjEKQHUFoNJeaTYayao8 j6vuBIGIU1bI4j8jDyxj+Rwbg/ywnoqyYYalYteO7I5sz0zazl1t2ZNHsmKQ5691rJzPWDZq2Opa y+qtrs0vNW1xrS2BnJ0qCAwi8/nZORlpU5641LbXj1VsZIjjzSJbXDdbXO3an32jZPPLDvClQtcW VjqWjhLbMwOYull9dbFjF+ebYqlDpcSmxlJWrXfs+kpb0VXYaqtj1uv67yAc4yMOhGyaqbHYdkxk bX61ZUNFs5XVlgD98vWOpdKxXbteF9A8uDdvG7W6mDbgN1JKWbkY2VolsvmVTv+AkZ412ynLxLHl c/gtPaq0czJj1UZk5ULKdoyn7MwVeq1FdnA3n+nacLmg56i2Uvbm6ZpVal27dL0t0Nusp2x2MrZ0 KrFz15oCCxRJs93T75ADnonI9PiwN5tEfnAlcI9mqyP5m53M2qlLDXvqwchOXgBEza4tdWxyDOaT 2K5JdHVaczw+0lWqzaX5rm1UO5bLdm203NE8wKIBuuUNv8+lhabea3oMayNj1XpijSbKwuzLjxXt 6mJL/1/Oo7RS+k43adl6tW3ZGAWFNZCymfGstVodW91oGdgzOpS1nZNZS6c6miPemxK2XpKyS9dq Wsfhcs4O787ZG8c3+oCc2L5dbXtob8b2TEf2f/3diq1XzPbPlbQ+gDmgdHCuaGNDGXvvbM1Gyynb uzNro0NmhWxk751p23qlIxBrtHuao6FiYs8+FNu+HWm7cGZFSmLH1LCUl7P1zxCwpqen7Z2z1+z0 fGwXl/J2+rJnpx+ay1gmTU5VW4mg9WZPmpIXYxzenbXp8Ywtr3ds9zShRxP6P7A7Z0fP17UwJhMR QU/Z4iqaJLZXjtXsyvW25bMpO7Q7J+GGoSFEMC0AceekFz+z8XLZog2PFqyZJLbR6tnekbydX+xY Eo/Zzp0FAQjjzDU0MpulYL1Oz+bX+iytENnsNMyhZ1U0Ti5vcc4EoioFGoUdpKzZTSzqRNZOTJn4 pVKkzy9X2rZnNm+9KLZfHW1ZrZGzehcAN9s1NW5PHC5Yu+EF1p2kYL94q2GbrabB4ebXPLgAWDUt Y1fXUzZSimx+rW5HL+WtmI9scbUtoX9wX8FeOcEGL9qlxbbNTnL4a1Yb9cpqyr7+eMnGR9L27/9+ 1S4uJXZgltKjnF1dQcAjmxovulZOpW1qPG3vn2vY2euRjZTTli/GtrDetloztkYvtpGRvB2/WLO9 OzM2PlKycimyZtIS4HWtaI8fzNtzjxTt1WM1KQ/YEP/W6iTWTXWsWOrJBcB6La51rN1LbGmla5Fl 9a5Dw1lrJ10rltKgnaWzLRsfTtvoSNbSUcl+c7xnzz5Y0Iab2wEA9WxhvaY1mRiL7MDuvIrjLyxW bXO9bb26M2/8mhPjGds1lbW3TtXFrB49mLeVjY41uhxhnxhkuNlNWa2dsfV6w5Y20tbo5mxh0Ssu YthlJ7FKg7VIW7UZ2UiSsVo1sXQmbe2kY6trPeulYilpFEav0bGZKcAwsWuraSuWIssVKC/ryIzL ZXO2utG1t8562dfEcNpOnG7Zw/vzUjQwLVj6rumM3B4Lyx179zyF/VkbKhYEPnE2tkwuIzdLBFvL pux6pWU1LIQ4K+VfWzcbG8vbYiWxF54oKvEaI++5x8ftZ29ULFecsHa1YyvV2B7Yk5PpDROcGIll 1axUE1uppqw8lLeORQKnZqtgh/bkbG4mY9eWO9ZNNe3clZYdvZCxkeGCza9s2C9fuWhPPbLDJsbK krPPErRiHGulwrKtrLcEVkvrnqMEq0L4WFw0HwJHcqjMgiRlxy80ZcYMlZylIDxsQNjT2mbPvvZE Sf8OiME4MNWW17oCGIDikf15q8pU8OsDbEQGMc0wXwAf7nVlqW27pjJGC/m5qYyuf+J8w+ZXO2Io F662ZIIBkHyPZ87GKVupoRFhhJgCMJO2ngfNDnu7vtKxsaHIvvRw0c5eadrlxbYAGjPz5MWm7Zzw RebZYJN8d365c8OUZcMe2FXS5zstB3HAAaHknvjt0MLQ/eW1js2Mxdp0Zy439VwAwPn5lmXTKfun 3xrWc//mvZo0MvPy2rGa/ZPnh5Te8f75hs1OxLawGklxwK7wIcIUJ0fSNjGS0zWvLbUloID0Iwfy dnAuJ5/gmyfqWs99O7IyrUnOhe1qbho9OzCXlXkxNhTbVx8rCQzOXmlpvtl89VZiS6sdzdOF+ZZY cj6bUQQYucA85X0AnoNzWYE4641SQhlcXe5YuUh42OyN43V95uzVpr13pmEHdmX1vrCwtUpXUWNM GyogmDvcDLzvvp1u6vL/o0ORDRUiu77aETtE4YnJ9NxHyb/xWZQU78FzTI1igvXEjFnLy9dbtrSG WUdQCZ+Nrylzx0A5M0+8I/+/udzR9aZGI5scSRRMQj75N96btWctZ6cy9u7puuaZ+QU4NirOsAEF 1hWL5OqSr8EDcyRSe3rPxfmWCADvQk0tUXTWbNekR9EvzLdkxmYzZicuNPWeKKl/+N2mvfp+zf7Z t0alqL7/lWE9z+Ro2t44Ube/fWlD8g+TfXBfXnOJtTI2jI8rrXlc3uCZ2sqJ5HlOX27aqctNO7ir LAvmP714yQ7tGbHvf32XrJzPKkgQq7tnjz7pJHU6YOCjwtyCTu6YgKX4wkDbsa9Hh2PbOZ6VaVBr uJ08TDuYYQQ5srlpN+vYvLzXUAl67kyIBeU+bATPw+rpnoADYPb0kaIE58TFphmaUECBLwebPrY3 T9bt0oJPbCmPidKVEMM+EDWErNr4wJm5IgFIpIXRkLilCBQAsPAgNgfXEhsrpaW1oPQwP0BsYji2 izDCTMr+4KmyvXO6LvMNxviKTOC8ZVNt+Wfwh+CbRziX1hzs9s1m5ZPhvvj0MKuanUTvt29nVhFT NtCjB2P7H38wZv/hp+uKoB6ay9rxi027sti2Rw/kBQrMF3ReiqIY3YiiyqfUTmQyct1jvaY2/sP7 8hJQNgGbh2gs8//n3xzSer1+om4/fGldoAZr+aOv5sWcYXX/9m9X9HwwPeaCjexOfAeIiwstpaPA rDEfeR7W7/L1tv7Ou7KpmHsYNcoIGYJVc51yPrJL11v2xomamM7SWkd+zmrDTWE2DXKCDDabPckP oI8ZzBqwXrtnMnbqIuZW10bKkdJnUIBszHa3Z7mcy1chh68vbZcWWvbWybpKwRShJoVmHL9gonWA QbINATieFfaIPKOIkTE29nAR89xkQuPH3T2TtetrHcnv6FCiz6CsYIOY4a+8X5PiWljtSBEAxPgR d025op6ZyEgx8P64M7gn78EAxJnXxw95a6Qd4xkpva8/WbLXjzXExs6db2jOd01m7Ny1lp283LTv 9lCWaYEgiuSR/Tn5lZFblPm7Zxpi9VNj+HBd/rgPyuXgrqz2M3ssHZu9d7ZlLzw6ZEuNrE1UG3bh 0nV75MHdFn9GSdFkHtjkWNFGh5o2O4U2w3GLbwAnKqkM+KHaWnj8Mmj2To+FS9tY2V8Yp1+1TpoD jsyGhJvNU7vkSaIe5TKftDVs68TGR/BJJWJMbHSuC8K3OzV9jk3e7plSIRACNCP+m4f25UVxl9cp nI5kOiJg+3fhpO5JA+E0xnRF2JY3HFDnpj0pLTBBmBYLWmu6s5cNhQCk45RNDGe0UQG4P/36sJjH f31lQ34EQBDQAAgAq5nRxDbWmtbrpu3s9boEmRkBTNnAR882JLAP7oOhOpAiNGjQpcsdzQ8/MAGY yV/88Zj9n/95Wdr2f/jemHwW5LABxLznlx4iec8jXgAj78T3eacd47G0MO/Fc752vKY5nh7L2FNH ChIL/HnbAAAgAElEQVRoNtEv3qjIx/jAXN6+9nhJzwI7wQfJBrtwrWX1Bo7ptD37UFHalvkfegA/ X1oCrxQOFag7c3znVF2fZx5ffreqDc7zogwwUcfKkb15qiFlBpP/+5c3FKgBKNjsgAd+xGLB/XUh mow88q7IFu8DGKDgYC6Axb6dmD3OPF8/XhfIwSxgeNMjtCdK2fiQWwqsIwEbnjfe7EqOkG+eG5BG UaMgYXzMZ60vk/w/3A2FzDW4/0P7Ycstu7yIuevrwFwT5IGRMt/4ECVj9Z5dXW5r7nlWPoe880yr mz357GCgKCSegd+zBx/cm9Pcv3asLkXTaieWyaTsxHn3/dZbsNhILHB0OC32vrretb/51Yb99FX8 TSg5kx+Z+UD2ACntGRj3zqxNjjgJePtUXWvw4L6cfFsoDdbjwNNZmbvPPFi23VMlO3/5oh05NOsZ 7h7u/kdlWzGbcGmtYQsr0FFffCV7ZonCRDK7mEDMqHzGaTovg1bDd4VAzpb9z2uLbdnU+LHQXCA3 E8rGBRihq2gxtCeTW6kHKp+INuODADyGy95uBh8Cs3zuqmtQBz+cvCl74oGCffPJkrQQWuTld6oe DqYfVpyy7395SACDVsXMZVMcmstJ+AFXkBqH7cFZnPaJHTvn5gnmAc/z9um6WNmxCw27ON+x109U bWasbv/7v5m1KEps3w5SGBKrbG4oglRvdCwTEbtKrGextbqJHOAIDCAC6CJksB4xwuG0feXRkpga IIXT+Ecvb2hRyvm0/cnXRmQOnb5SE6hMDOftxKWm/eTVih0917RvPl2WMB87T1GqSfjYwDCJzRrm b9cePUCAItZaffOpkubmWKNh331uyP7zL9YVJBgfjW1xpWM/+s2GlAhshzWCaWFuvfjKhl1ZcjaB QmAjYQLhCuCzzDUbEbMZswsfDeYIQSVC6QABjOHld2sS7N+8WxOgAGYAE99nAwHmgA7vjBnMt/fP 5sQ08bWcv9aSm+GpBwruq+ua1otNjkL86esVBXZwYJ+80NB1pydiMeQvPVS0//fHqzeSS3AxHNyV E6NhsDb4alG0XGPPjrzmABllE8M6kGVnPzjkHQDd74oJmijXcHIsY2ubHdszk7H9s25dnLrU1H5i jmDBOPKVQB2ZVds9O3+tqTkCCGtNN8dQUOwtZB23AX8yn02Art4TUUBZ/vZo1R47iJ+pfeMeWDXM FUqx0fZoKdYSAInvDCbH/kKJE1BC0b93tq45mEzS9tPXNyV/sGOuyZyfvNQSkM6MRbZaSWx9o27D Q/10C+tZJuMnbv1j5B/GrGK11rLp0UjRBTQgzrd3ztT1ckwQQs/CKepECkSL8H3Pw71Q8HrPrq20 yQCwTBr/VsNGh4qysREotAP2OBqCz6K5EFAmbWbCtRz+sT07sgIfNrQWCGfsCv4P10psiKFyWhv/ 6vWWnboUS3vuHI91jzNXiOBE9q++N2bPPlgUdSdPBcc2Wh9hgEm8c7pjb59uCDQe2hcJUABD7oHW qtacqWGOvXOqoXn43nPD9o0nS2qHUy4S8jW7fHXFTl+4buuNIVuvZ6xIuDjjBd0IAH4+mBPsiHkB aL76mOesPf8IzAUTqqVnAUB59j9+YVgb6+2TdWn77zxbth/+esOd0PMO/DCr1Y3OjTInGADzhqmL n43fEyUDwAHqZ3Bwdz1PCkH//367KXYkZ2/K7D/+bM2+/kRJrBVT7s++Pqy5QtH88KUN+a8UXRzP 3AAszFSABpOaDdVqd+29s0RoezKld00CnpEdPdsU6DCHKD8vvcLVkJGZjIYPJiusFnkBfDHbkD02 H5vyX35vVHLIPOKKeO9MXQoQuYF58ewwZBQkzAmTlc/DLgj0dDqJUjUYgAjKkGsx59wLEOV9mGeU AIyE+eJ7PAP7ArY/XDJbWsUnyPOn/HultAACeT2yJ6d5e/mdmtYRJYwcATbci7kDnABG7oXMtTru 75sczQkk8K3ifuGdZGlwIEuX1IW0TFZ8tssrXZnxJy42dP25Kuy6bUf2kj6UkluB7yCPDnSYySQ6 +z25z4pM+7b8oDDWwPyYO9gVciTAjU3s/PtfnrDfvR3bX/7tcSvmzIaGigKyuam0zc1OqAvKpw1c ysNCOBFehM03RNrGFtLSArwY2hXaundHUb6EQr4nYWQyyfvgM2itdqegRQEI3jzZsIlh1/yYEyyK wtbVnm3UetrU+ItSScoeO1C4oUE0mZnI5qbQOEQlPRqFtmcC50pp/f7xA5w4bfZXP1mVSYNQP/0A ERd3qL/0TkWgsGdHbOV8VqbZO2ew+11LlfLO1DCB5CsoRGJjgDGsC5qMVj12vilfCVoPYIHV4MPB FJwc7lo5P2RDEekVOTswh7O5a799z02x7zw7ZP/6+7Gc7qevtPTOgC9+C4AEEHjhiZI+OzHB2ZAp AeUDu/M28zxpE7Derj15uCCQ5vlw5mLiMS+wWoSe+cFU4vv48txJTegaP0ZPz47DHMcsQgvF59r4 pjCHAEnmHG1LhOjFVyv6HGt5eI9Ht9jgvDu5UYAN12QTA/Cv40iu9ZxF9k1wT4RN6R48G74rno+1 wZEMs8AZD2hwPUD1gT15rQvMh00PgHEtZA9A5l1hCdwHWcEkYwc7kLOezpZG2pHNL7HhO0adO8CN YuQd2ZBYDvhYSQ69uoSzH5+tJzpjKg/32SPKGZmDoZ676gGNWoMMPqySlm023CUC85oaiW2t2rG9 M1mxTMl3qyf/XUiqxsWAgsd3xzwxN+ydfEQgwfcbLAlrg/WmkoRnbXVIz6HVEoGWREqc98SJjwkn hrjc1Rrt35kTGWDP8Xt+BFYd83K5lNmuiYzeBXO3rhQKAmleNgegAcwoWvYxYMk8/uCBov31z9bt 0SOzCpy8d7lq//Of71Au3qWlZVtYXbJyacP27x6z6YlhHcL8KQIWCZptW6m2REGZFCgxjnEG2vHU ZdfugASaan2T5M2m/Ffn59uiqfg+mChUC45PFoeJQBieOVKUkILoMAcGAg8LQkBhBzAttCcaSAXE KZL6XAOiKTCfmLyRUiyfQGbdZCJ41Ket+wAuB2dzypSHSbDgLBS0l9Vi4/BeCC4bhc0LgGFeYMq+ cbJu74h9uSnBJiP69uaJmv1PfzohMAMwARa00Pxiw64vr9nUSNOKuawVcrE9djAvs3L/rpxNDqcF DmxaQIpNBtCgLWGFzbTZY4cKdv5qS5v3J69VpPke2Ju3qdGM2JP7oWIxMqI+v3yTDqomJzT3gpUc P9+UsD92KG+HDuXsyN68zJOVde8vBmCyQTBzYcYAH6Dmm8js3GJT/rJHDxXsN+9WbXSIdA+c4ygl dwXwvGzIJx8oSJjZqAA9JtLF+bruj0nKnAfH8beeLtn755pSDk8+kJdZePx8w/71D8YFokRGN2rk W7GGHa0hUc2H9uVkMjN3P35l0/6ff1iVic91mBMAASYE6z+8O6+NCHByf5SGl33Bxp01wjww+/ku z1Aqen0rA38hvydQQlSa58e/hskE8wVwlM+0y30+Jy81bL3akaLwpN6eEpx5Z9wcyDLrw+Ynog7w wEABQhggwApQAVDIvPeQw5fmbhjekzVBhvgPc/vwXNZ+/U5Nz8S8s3YElIi8851gsbA/SHlBucj5 n3cghAVyL/b1WgUTGzdLWkycPQNLxgzkudm3KAeYGvN2dZGIp4kAoPhJiD60b9R+9Nu60nReO562 yZGslbN1e3Duij1+eMP27Z6w0eEPL2K+e8BSMjdsBkTvSquNlElG9PR8Nja+KyaF/Ch8NzgaAQ/l qPQSq1W62sTQXSaOsC3siUVBm4DyTCZCD7DxGaIUbEQmh2sxeTA2fgeb4jkQPCg/mqWjhfbUB7Qr i4CwoBWh79jTSOmv367KqSznJr63bGRPHM7LCYqfgRwrBIroHdcHnAArKDnPiFP/hcdKMm+++ljR 9s3m7Me/8+x1oqU4K4t5TNG0paKUFXNebf72ySVbe6thtWbWZqdy9uVHi9K6rBfsE6aEsPF7AOvX 71RFxR89WFCaBqYL976+2ra/eWnDnlwgK517mECVFIAghOQe4ZDFv3BgNqe5/+ufrumabHw2CRoV 7c5zwxrZrAA/oLp72uzQrqwcvTAX5ptIFFE6wIF1WNvoKr2Dz3EvnO/MP2YYG5YNA4DiJ3n6wbwY d3AdXFtuK21lYbmrfK6fv7GpeXjsQF7hc0ynrzxa1JzzTPiZkBWif/iNYOPHLzbEnAAsgJC15NqA NH8nWIL5S+RzZtzBAMaKciIvjA3/3MMFe+Vo/UadKwyE+wNiPCsb8qH9+RuBA+bundPOcnMZNqFH ENXKjYqEZmInLzXt/LW2fKxeXkOEOSWwKxcTO305UfCKZ4OhyVSnwL+VuGsgBsw9Csm/s8cUBOiD jSKeMLwhVwiYlOvdrv32aM2y2ZTk4aH9OSll5pl5AEhhPcwRe+PVY3XdC9YW9hBrzfNCJCARBHiQ PxTZiQtEOzNioeRusZ/27MwK4FDW7GsCGjA1mCy/v3i9pXkBbJlP0qOzk0Vb2qzbb99ZVVXGY0e2 v65WPqxUgg8rZeNjeU0w90Arg/DdUDqTTelPmApUElMCISNqtFnv9ZM/PXpVxbTs+wfqKco3TMCF kCAgB1qeZkDoFDDD/EAzIXQIFQsMMDHBAJjSDhIPO8MmuM7zjxTkI0L7KQSbTsm5zjMd2ekF1ggJ QvzlR0sCNxIhucbTRwq6PtQ923fgQ7Mxfb/5VFl+ATQLjATWiP3Od3g271rhgQOVk4l2pm3H1Ii9 dWZVkzo2nFHUBZ8aIMl9MD3xBxB+ZnMDuLBNwIQN/P0vDyu/aNdUQWYjggzoEvafm8nat54ta8Oy EYhcAlqsARuJtA9SCdCKMFTWBxaDbwOzxDcNNW6RNDU5Wi++UtHn8aHJJ7bZtVMX8UeZNvXZKzCX rD1+uKDoI+kSCC7vvXCtY2+dbGjNUAgAPvOzezormWFDHp7zciY2PzLGvwGivBcmOOwXgGD98dds VDzPiE3L88mf2CDnKLJ8DnOXjPJETF9DLMTD9oAyv1AeYNWL6gHCzVoiswlGBUCywTOZtl1drIuZ sd4AB23+cVPw3IAH10Fm2ewwUNZhpW+qAWCw75Ey/qCerazV7PlHR+zNU01b32wq8RcZRfZ4NjY3 cklAhO9iXmPW8uyrlQ9cEyj4sOe4H9/3+lgf7L/FfmMAwDiwLNYNhYYs7pn2fEFAi/fCXwsY8yff bzQ9lQOWp6qJJe6B4ifYkBMAYYpzjQf2ZHU/5B22u7TW0377zjPsj6aeA47AfWGffKfRok1Mww7P UgWQ+28qaLcNsFxL+MS1EvKhKLvoF7WaCy9gA0WeGfPoB4sL0rMgmIsy/XqJfeWxkrQ6A7BC0+P0 Js+EiUIgzlxq2SRlDf2QMk5cBJdr4AhmkSjTAVjwd6B5cKZqc/Wdl08dzotC4wQ+cclD7CxcMD+D czWOnbLLD1HpytTK5z1JD/AlqqlJ7/eixwREeKqNrBYH7Q0YABLY9PzwvgQHMGdVetH2pEeEoZDP 2+qGm4vMF1oGRoBQAFyY9WzOcsU3BJudeSN6iZCzOSj94PtostVUV5qQOcBJS4TxV29VtclhNzh4 YaY8D/MIUCGcMBmEeXG9Y5fmWxIcnp2k14f25sSWYZj/9Xeb2oRIHTVlmFPBpwQYMmdsbDQxwD49 ltVaYn4jE+Wi5wdxXaojOPmIMhZAhsANawZjQqHxvmwUFMyffG1YAv/S21V9X1HUlY6el80Y8reI GOJyQN64P5FiwAIdwRy02p44qWRbGH3GI2ywWRg6zBZ3By4HnPSYRZizpGxcWHAwnV9xpQiQIqPc HwAkj4q5YD5hPcxZYFowQtJl0kV8YTx/U7WJ3Y7nwRXzKD9XRHwfRgh4o5B5b2AI9kMAhH9nPpH3 PTsyvu4kLKc9ERksRi6Gx2B8HkQBUHl/lCzP6ukknKFALzZTnh9KiL3EO0EiWEvWAMWBUoIZ8yzM M/sO0MJPBqPCuuLaMPijZxpi/vygZFiTH3xlSM/wn36+LqCCibKH9d3NnpVyKPVle6SZsgf2jXk9 6nYBFqugScEZ3eqpnojISGAzmCVmOWkbgINNjGbigdkghF/Jy4HJnL7UFHLj18BRWqn7xMWxA0LU 37Rjw57qwKQzqWTGcz1MUf7ENAUomDSoN1oJVnI4n5MDG78HG+LxQx62/+aTZfsvv9rQwqNt+C7P DQBhUrz8dlXOyS89XJDwEMXkHVgs7H1AiI2IQMkcnejniFWg9Yl9+ZGiFu/nb1QEyji2YXRoQzYb vgeEAS11ZI/b+2gd/Hw4sNGW7ntLS1D5AUB4VwwOBIQcKJ6F9xkpZ+1vfrUuIQEUAR+Eknt85bGi /dWLazKjeQcxX2m3RJEerk2CIvltjx8sSOuy4djImDOwLsxD1p3PVmtde/8syYctrSH5aqSEsFkw CUPCJwLJe8NgYYB8F1BgfS/M419r2t+9tCFw4r1RhETQAEG+Sw4dcoKJCWMmqEEk983+s7LxkBHM ERi2Kip6iZh6hq4RFEH3E41hIsgrmxMZUQZ8NqsaQr739JHY89ZyKfvGk2W9C75BlJOnDXhSsBdE k1jqPifAADBkXTgEBcUGk2G/pYdSmmtkDFADeAG0nVNFS8ceSMnEPTt3ra2gCO/CfoGl8BwAEesP gODnRXbwwwKegAkyg8wiV57y4e4R/o39ubAMI/M8Luaea8PcUfo8a6jxVc0hPrfYTXMANKSfMA9c n1IhlfX0AQvZROmevdy8AXrXV31ukRP2aSHXUroGc4QVQkQSZbq2WRHBCflx5fKYLVZTtnimbqMj DTswRwQ4u71O93Q6Y4W8WRuhiNPK6mYBEZDgqMOEY2Pzd7QamzvXn1ReGgcvGhTmgtkTEiQBH4pj a3WvtGeScBSyyRD+ySJC1hWQoSXwf82vejEq2mBhlaJej7J4Cw7XWDhK2RRoUSXkZVMS0kf2F0Vh r1zvyKfDM9LKBi3F81Ewi2Yn8xiwZTG0eD2CAPTrSWmT7Zkx2yhHYjKwSvx3mCrvnvZEUPrO46CF fRE9RFieOOSaiA3E85XyiRgffh8lr85w3qIDMgLJxpePhtKNsbSEHqarrO5xd6izuYlUYpZ54axv 7EP78wIhBJHfsUYwXn7HOzPIAwNw8F+0Oi0xOkyE147XlWoA2yOLH1OXulA2B6yA+2D+sYY4ktkM bFqEdbNa1yYkd4g0gFzW2StygNam+eJTDzgL49lQBCROMpSMWIzs/fNN3XthZUPXVLImJUK7ctL6 KgOjK8aEJ+9yLVgJSZOYeuT4sV6kyvCOZH4jKwoEUEJ0tSm5gHmiVN2X5GVjI8Epr6gzZic+GLcW ABE2Os8tWaUVTtrdHOTVWQcWHfWLwP25CYxg8hVnsrZRa+jfUXJJr6NiZ3Ld4GZDk5EYHe+Fu8Iz 7X2fAYyYpe0+YKOIyCSHmcNW8TvlYs+DVGoE0T5zHy7+RRglSo/9g2JDwaxsehcInh1ABqh4b96T IAndPSj3hV2xf/k+bA/rhHkCSPH7sfYoMsxY3htfKtckT5E5Zz6xdNZryAbBh57K5sYLdWu1AOYP WuFsC2Ah2jgCCW+y8SlnGCrGQnnvj+XOVMojWJheX4ih8Gxu/o7DDlPw0YM5+W54YbSQ+u30yLXx gmJ6DrHI1BYyyWxKNlfQGIAhkShoJ74jvo/tT18oNjiTBlASUUNTsWFYNBaDH8w0BwxoMSFlT5JD kHG04zNCm/DM2OgsPrld3a47OGGXdAZQol6ME7RfXrPTe02zOG+dWpcwEJ3kuphzF+fb2iRvnyIB t6MseBaXPls849hQSQmooT4S8xBgwVnKO+NjAzwB/es1OiXk9C7Bv8Pcfu2Joo2UYwkvAs5742ML 0WPeCQH0xNmiXVl0E3ajQsscBK0uIYRJYU4D/mK9qZT94ZfKcr6evNiQAOPrgz3JSd/357BJKKeB ZTE3XJt8nYUVL5sCmFXKIhad0voB5qwn2dUwI35gWcwBa8hasNYoNuRNJly/BhDfHvdQ8S7MI/b8 rf07s/bMQ0W9P2z7l29Vxb6QY54D0/nV4zWbGfUo3IuvbkqOWQcYMCyTjSUG3c+1Agh5dkXoej1b 23QzERBlzhgAswA6k1bkEL/dpfm2ZJ1740LAfYKyROk2G0QkY7WZoe4S2UFJ8x2UC+wzmIyweqwM QIO5w/TF98hqepQb0uCtnNzvB7UwGxuhHM7zrzDtUTLMAfsGkKFtEk8f1mSjQvscz6tE9vlsiFZS CM8+JHWmM+/vrD5aKQ/eoKxPXmwJ1EOO2OpGXXO0tOFzx15bWO7JMpksOIPdTnNQgOWlNR0bL1MD lbZqKxJwMTEsKIyGF0EDo1VgWtisFM1maD/TnxAED+qJtkbjign03GGHULAAbBQ0Jhqf/j0svDRz y2l+cFQCBIUcZmhPJoyigP2cGECOTRC0B/OBBlbESYmJbjZIc9edyZy80FSoHLDjfWEZjx8aUhoD mw82hMCSGsBm4nnRRm+dani+yrILJpsJGowZyKJjqsL8MNO4J0LIbKLl2egkVfJ+gDW0WWkaAmgU gs8z0TQAH3/U6ob7HdBy75/zTHvYGb4OAI6auMs9Z7RytO/LqcfWzQOfUxRlVTf3ty95wiybCVN/ YjSte3FNrhFy2AA1tHgQeNgNjACAg9EAVGScw0yZExQG6817AlykGAAEzDEmN6Zepdr1hncpT2Il u5yNtmMyFtDAYmTG9Hv6sw7Ixp5+xAp2hJlLRMx7V/kG5vOAGJYAz8+9uQ8+FBQWUeXzjbby7pAt notyqna3ozwz5ASwx6ZAYWJ2ck3mh3dj8yLHKIaQxwbLRuHgyuA7tJLB18bfKeYmcsha3TBrcxlF +nK5tK1VODS4LSU2MYILwOUAxYUiUICF/m3UtxJp70QWF7ykSIEkyrfo3rBCJNIVhuo45SRveo5a 2xO5CbrAagFA9kJgolyb/UU0s9MlzcbdMCE3UBUn/dw75pj3RnY3694KinUAKJnLZttra1GorNP1 VaKqrgCRWfyYPctZKtr+Q4uVNDVU6NkDsy2bHunZ66dSduGqN3jr9ujB7MLJxpwa8+RBUJVNHWf7 Ff9Vr+vDvAGseEnACEqLJodJ8DL4neK0O8J5Qa+GdwBi8wKIbCwGVB8tj6YOSa3qStrvXMqmJomR likUuuJQZwF0wAX9tWhAN+m1WdyPa6PBiMTBgGA0lKKwYTDV4rikhQoKAaFA4wO4ofhVjdZyXgTM BkTg0v0Fh42EQlZAGT8SCaRek0XOVSynOYyOwfPDQrkH7IcNyCYBaInEMp8UgrNJ0G4oDDYUpigR QhWtVl3r/163D4WvezLhAfrFpY5SUfCRkdukeSintRloWY2Qc/+FIuaHO7gpQlYQY9w7ZMAig7mY jvrpEIrE9mTykdnNXJJTpo057Fqc9UAuiLq6P9RNf0xsUkO4tnfY9NOUQhUApsjCSkbRT+aFzcFm 4NmZL/LixkKN4HBabA12xcbi2Vhv1gDH/NIa+X+k4rjjOdNnaygNvsu6u5mZiAnxrPwOEOJ3sGne BfnN7c1JNh/dn9fvkAk6XBzZ0xXQUryOxQIditJ072CecQkk1m411UCPuYn6idKYiCyfDhHOeCI2 7xR+2Dew5xAJbFFga27qozwwdWHZ7FF8wzy3kkAjglRuNanZH++bSwlEmQP2XKiX5d4wKzUv7Nc6 qgoibYr28nyvvO+uAIgHHXiV3D1N/zjYdFuBF5Qca8t71Vu4h9pqrJnbxoOLY5q6jQ+lbHG5a/lM Yk8ewOkYWzZXsCid6dPy/iGGaWdb2P1sVvwqcrJWuu7fOVVX9rLnbOHoi9wvQtTR3Jmpavq6t1f2 qnZ3QnoyqTugyfdAk3AdvhsqyTEVMF245nMPs5lde6L9icpBtbG7VVja9WZvsKK9Ox0cMF8w4TDB AgPifiRbYvu70HgL4GwfUNHYGBwIFlqefCly0dCYLDrJo4AGn1MmuBzUgDNN9l0QicCQPcx7HJ7L 67oIP3+n1Qd/5/l47ncBr5FYws91ee+Q9ybgbvWUFQ6LIFsagZFZrHbGvqiYMdx/rd9YETACnFAg sEM2Go545p35OHq2LlDAX0LgA7bJu1DDCKtj83vhrptCKI5jF5piGAAWcxhy+PDjYcbvnvZ/Q/gx WWCSOPFhTTCzpx8o3sgRQgGwy4hu4d8BnGBAML/QJYG5JPgA0JAuQqeJfLYnOUCZEQmECbHB8V3N 6L4tbUTuQ0835BVTU2ZYKtG7UGLEnyRnhjbKXI97AIKALH9nfqUI6j1FWGGkzB/g+LujNd2Ld4PV 81nSPHgt1g1ZzqRJSSBVxStDcMEQ8MBc5B48n5I/Yw84qGa3n7+IAuE0qnF1mSC9CDM0LRfC7GRe ylrF7HvIkyQdwYvqSQJnXyHrQyUPWrAeDOpNERf2MxYKewnWrY4mkJh+NxAYGc+LXJOoyh565kGs KCctXIR/J70HsOfbahvVi9WyirK/oXJp+wCL44goXjx2KRKNm5t2od29s2BDJTcD8UXwQkwkDnWc zLNTXkPFQgEgONJxuqIV3F+Bv8YdtTiOASEAzBNG3VfGhmcB2Vw4sJksdyJ7dv0KRwwRdu13XUBz AEgsIswF0wYQCVEYTALMHLQmm0cgp6Jd708N2wPE+OF5WCi+j2l3ecEpO8LLomKnk9+VJNUbBdxs HoQfMGGTUcOGtsR/g4nIeyDkLLJHuyIBgjTw3pwECQDGBEQ40ViYRWSY815EzuiS+b/995P9DgHe zJDvwbrIWkbA2Fy9UXdG4zuZhdn1myhKYNRvP5HpDpghSGJCTW9/0sFn198MbCaYCXPCOvM75kA5 URsUpHsklzWlo2eI+jHPpDYA9PjccJhjenAdsp91VFvHEwtDvSCbEEVHJ1Eir2wq8qq8g62XIgC6 uQUAACAASURBVPHDeym/SmaMR/FYU1gpmwGZ4PqYbgAhQKEW0zNZgTvVAMidWteUvaQHIOI5aI7I xkcZUBD+zINFB2taACmFoGdn+j3beAbKhfDBochQFlxXyZSkxvQ7pVJ4r55S6iXn3XlRnjjw3dea tSvXmzY8RNqCb7xSgSg0XUjp14W572d80q6Y9WHAqN0H6nNeLNDTC2rvfi3kkp/ESF71flqsBXPJ M2K28ezIJ+sKmLKvuBbvB6PDgkJmULjfeqasBFT2n7ewdl/nDJUMC94+mg8jO+qIutlVmsjctAfo AFgxuk7HSmSuaD7dYto2wKKNKpN08brZRjO2pYqbJWv1lh3e7UmaOLtZdAYbFTMJQeBzyjHKe9tc FgeUVn2bmve5o1URGUUF3REfDoXA78QLAj5oDbQLwBOiVJhv9Jrnnup/VfDeRN97bkgCgbZDWFX8 Oe3FtIqWjKZlapEDxaYDbLme9x1n07a1MTATeA/AiOdYr3IQhvt6CAfzO5qYkR7w0tve0pjn4124 Dj65kXLbnssUJRTU/CEUCytdmSwI1fCNwlhPfKS0YW3KwQUtTg0tc0VyKn4uco62BlYEILP0KPKI Ee+kMHyKJFPPEQLQmFcYK0AcmBb3W6TPOhUGaoviraBZE9gOyoHrAcAEUWCCu6a9BxbP1O349TEH /XCJnvyBgCZzAlMDxEn5YF4AOdYJoEGpsaHHyiRiUrNZ131QUign3AZPzRUVqsepyztjMuNKAAhJ RIaJudPeTXciVDjNye1CObB26qW13nV/yhjto+mVRqSwpc0GW0Vm2Nj8HsAEpORo3uF1rgBn/6wL KRBk5/oK3So8rw8garY7dvaysyjvuYWJ1NEP+XxsfMAl+IQw4WgvnlGHk0TRd0w5mL+3uYHBU0sJ W2pTkmeZdGTFXKLPqEoDNwRBFFIRAO+mB6YU5Bj3ttR+8ISX3sAmKf3idwqQ9a0a/h1SgSLjvVEk uCawTJARLBkUKuv+VlT38hwKrNe96B2XDp0hQjQXxhySnwFAz/Xy5wMES/muTQ23bNdUycpUSW8n YKm1b8dzek5ewoxwIcRkATWZGF6GyFE4lYNSFzQRuVZsABgFC8eKw3qYJDQPvaL9+p406La0b0LM Si9f8MZzSltI0T/JtTyfR6OC5GrLQUi/42YB4X6ST//t36xo83F/d2Km7MDOvCgqC86CASxLa96X CBubTcqEo4VZYGruWDC0kljVde/MiDAQoqaJXnLAAwWeIOfZxywcCxvyumoNz6Hi2ZFNtAtzEyJ+ PB80e3WjrcgVJiZmHULAFRGi5x8mS9qTE7cOz936/WOR2LAwgMsLLWXno9FJNwC41Pal4nQ+3vAI EvOPuYZQoQ3xv/FcCB0AwgYmQMDfldhKX/0V16SY/MwvQMY87pzwNAB1oU1z8hE1kybgo5878w4A sfkBf+YXxzegxsa4skg5lqcfMGcwtigV692ZWyUgo+jUj827WlCTyLOxtoBh7302kecpoZhQXPwQ ScTfmkq5z0tlO/SCR4GUPT8Ppsx1+S7rFtwezJvmn01OSVCbaGVTgCHFhjWx7tcFbNu0Zc44k0de +T4qmXkBvPk3wMwbILpcqMkkqR6p2EaHs5ZNowA7+n0x54eLKsjUd5MQ8Q6npOeybkkAxKqvXfNr cW32HXIQoshKGO3fi/VkHwHYuCFgRuzv37xXvdG4D2XKnIROvexF/Lwo7WCtwLR2z3gis5TuZUrK iKITzHIn+/UV0mTwH3sfse08WT3mSCJMjWzGNzYOVTlISSqkh86qd38EidkgoT6JBfDC44oS5YjU qDmfTozBr0LWMOBH2YP7S9CK+JyY2HDqDgsAc2BC0AKwJq6dz+GLcW0CAOC0RghYKB3rpdoyzJeC cqPcBHNzD6El8zqT7tg7p+kh31D2vFqaEK7F6Uhd2XpHpqD3xvKqdP4kVIyzFy1FITCLB0iy0fDp qdZMgOogFLLw8VcBqrAA5oLrALA4+dkEaMdQH0j6BwtOhIn3RVAwFTEPXeh/f0hzitJ73zAiS6Fr JiyVZ9k9lFEJEBsLdkAklHVEaEM3WN5jvV9HSf0e84JzPZTqsDHUcSHxoIDSChRud/MK2WNN2eS8 E0mHDN6JZ2eDEtTgXXhmNhYyxT0AJkyVXZP8m5sX3IcwOc5bKi3mlzpWKTrrhJ3Botj8yCKKUv35 +7KB8qCek3ueWW5qzpEjAIZNCLtFTvkzJPsCeDjOf/Z6RYqLjQWoYa7xp1rr9GsYb+S+EYXsy+9i ym4UeHM4h8psNunm6R1Y/ZAMrwOUa4JTx/tNBlEm3lbZnw9zT103KGlrAFiJHZj2xnvzy953LJTk xJygvgOA81pEnpvnQU7hiKGkC7lkjdg3tIHqdr11DzLgRdw5rSv5fcgTLgYAj+vwjLwbc0HgCiZN Gg9rAOCxX0KEEeXIkWqYyk8cojNKRmDK78tDkRp9rm9yBF5WpxVtC2DRvyaTzdr+HRXbN02egJtr PFzQ1mhWHS6gCcJf5cXKCCHCGJLuMPFUarDQkhOQjYQphFNQTksCyf0M4JDjwQTyTyyADoUYgua7 hlaiHbkian3r3RLVT70UCfURThYiOBahrzhuz0rQI4HMuatpS+/I2viIm2FQegBC3TqtoFA0/iE0 Et9HKGAabHbVwanq3w9zYCBUaBqem8Q5aiOdJnvLYL5PWsFIqajnZARHN/eEqQC6Ib8FxzbgBngA Ijq840MGGxuwwuyDGWymepZed/ouM7zuAs7m4NkBJ94F85d5wk9DIixzumPSzTNMXSJrCC7zz1qw oZk/TDgUDdcGhGFPoXkeawuzCl0o6JnlJ9CkbTc5ORxs0fYgCCCAucSGJ4p66XrHDs6R4OhtbvBr AmRKLYCZbHKMmTu0AXG0Oc9MJw0AhpA9mwbZUzg+k9gsh1TkcXYXNVc8L/llsB7WimdkDQEX2uyg OGBlyLJSZPpZ37wvz838qf6SzP48dafu80QuAV6sAfVbS7v88l3yC/Hl4ZDmnmxy1QYShOqfzwmD n530on1kHXcLABtMV6wd2jtR28sJN1SPXF1EQaWV2EylBZHzd882lCzNvPC8Ckz2n0OJrZveDJC9 oz0WfRB5Z95+915NfuGvP1GW0mSNICJ67rLXQDL3DFg5/lzWm8+ypwE3ZCakRiDbBEBwyvO+zG8m R2kXTSlXbW7npLo8fGLAwmSrNmmZmrZ9O3rW7sFwHLAIqY8NIcC+KWhcj9DxwGwOXoJNDr0HlHRw Zi+xtX47VqIiHKTJBodWszGIhlEaoF7d/f5XCLl6y/eblMlJu+ELqYr5HnS8aWPDBbu25IdlsHHV r6eTKNLDghzeQ0uVrhYZEKBeDCZ0cK7sG2Gd+jNCuGTqe6M3JhrByfUXCic6m5JMXrRJCALQQoR3 B5BhTV4mkogi8z2uu6hIWWxP9EuGiJzAGGARoYeTnM5Xm34QxI02vO4rYMPKFzN+6wO5VVaykwMj 3ITkeWA3XJ9nLnKqy5Kbte6X8FQBNiPMk7n67XtVbSxYR7PpfjWq+2GzAAPJPbwb/x9MXAZ+NBVT Nz3xkHXGB6hk4wyOXw+tw5TkfywjT570W2v5ujIAacy414/XxMCee7jUBxE3N3U2YScR2OJrIu1C UeQ6pjPdRJu2EXdtcjSj9A7mmk0TTEuANAAF88qZipg1Opg1wbXgPbGCIsr2e1LB0Dk7ErCHLbO2 nHtImRluC9iJzuzrVxEomFP3MyfV6hjfXY8UFMy0ns1N4/z2vD9AArBRO+YStZ8eAQYU2TfIMSYa v8OvCWgh0Emqa+fm6/KBocSLOcyutL11squyJYq7CWQpXSRxuUQBu8/WCQQyh2zg4mANmXMsidNX mprfv/ijcX3upXeqSsOB7fFcyADyiO8KAFRrpw2ikhlFctVKnf5rQ56uE3IpeQcCTZCcSi2yyws9 W15ds1QqY7tnx1Vb/IkAiwnFX/XuOU5b5sXaFlXJ3wmRHne+oXUXVvycOJasXDRlLeMHUkkAvqx1 P5wBE4+NqeOXWh+YgDA3QMlPT3Y/EyCHwHNN5YT08Ft4lbzyUhLvKw9TCC1vQHYyuR85UBCdxVzE rEO4oc88L34lSnDIV/GsX4TMQY6TT/A/eLsPbzXDvbxezWReHD3rzks2DtfgXaDIaCQA6kcvb9pL b2/q3//g6bJoNlEaFd1O++Zh8HyAIEAEuKCZmCM0K8IEE0CDPftQQeYmkcJvP1MWoDPUrqffPwwN h2mprPbI/XywOUxB1hFAwQ8BiwRweD8Ahjnk/ryfDrTNeBY/LXSIrAH2cRQJRJgL2uuoyLgvWwhu yAPiXQAPWCNAzsKR6awIcv8wBZ4ZtsX6smaAOb9jHnH2o4H5dxoHopC4Lu/CcwOCKCCYK8eNhR7n fB9mQ/0ozJD3Y8ORs4Wc6j793CWeCVOJZ0RpPv+o+7DoA7W02hZTokAc/yL+NWYas5d3F9vquw3c hPQ5QKkV8FP05xkZ9kCSp+KQDAu79bbeHijhwrQT4rml5GtdBaWIwgLunvIQCcT5HuyFlAzmAPeM p1CUbGosslq9bd1Ox372+oadvtyWHMF4ORkpsEhFSa+3FZRgvphTBbKIkI6SLBvLXQDRUE0vXTxw v/QTcHk+mCRgyHoScUXWpKTGY0VqHQgj27/T+85h6cg9kI9EEILbgv3I50dGR21pacVOnF+zUjFn 46PuiyWX626OC5Mq3+T8Mw4NrRdtESq5RndMbxsL+pKeAHJC21kgNo4OtpT56GYWoAJIAQzT0+7g JExL+xm0K1SRBVaBaYSj0w9VDU5NOYBjzxPhIFGZeKOc9OH5QwABm5nNjdQAjkw45yeivfg3IpVs bhYeoIT6k5iKsOLvUSF236ENKGkjbqLt64qWoX0QYLLZWSA/7SWWn4dngJUweF8ciWgZTEcCE545 7ZX+zAVC5Nn4rtmh4+reylFYu2js77lOrXbR/VrmWgsNqWgamszshmZTtAdQ7x8Motyafp4W1+dZ 8SPy7ySHEvInMx3mwO84UJYaMp6D/CY2L8/9R18dEtgxf4AIJhsbTykSiTMJWAD9mJTI2HM/n0zi GW8bjG8JhzQ+m939fuSs9YuvbYqN0XkVoGJTkJ3Pc//ktU3NqdeaeoE3G/n4+VjKxh387tNUSkbD zdQnD3vDQhgJmx4g8BIhz1Nj/fGfAiIoOYAXGYbpMhf4pmDfaoGk8iSzbD+/jOuTuY25dvKiB4m8 ns+Tp7k+5l448s4z7P2EJQCKueX3gCnHx7GWyDTKa88eTh5yP5nC/W1v3Md8w1BC25fJUc4LyEgm X32/LlCl2PiXb27aqUtVHdQ7M0HqDcEmz5lDvgEIwChEEVdbiY1bzx7eRdKxdzCBeePvxXLhd4Ab 38G0hHzwd54VOfUgmAckUObMN2BLAwDVwSogxlmPrnh5b77vsob1kJJCQR4qtSG7urRupbNLNjsD o07ZUDmvMw7vtDOptwdFi5KWX4Qp5TR5hNgVsl1yLUApjU7tSKd0kGStH51DqyKsbBxYi5IU1yjf cK2Pk/T6iudwEXUCpDgWiUkrTHBgqmfqgtzKIIc5ZKD4WX2Wk3qGNzsSPkwXNibUnYhas9W2o2da dmUxZy+/W7e3TmFOuq2Ps5nMZopxAQDecqMSsvbd9wLrUMZ63gtM2ShoFBZR5i2HU5z3jUZnAbQJ dBg/FsyABeQ+qofLeCtfNg4sNJ91fxa+DsD7zNWmzDUEFN8XQMQccm05rRO7YWL9x5+uq/QDLU9E E1BEGXDYwPyKU/Zw8glMCZbtAOZOeBhIyItZOd+VCcJ78cMmDefaKXcqdlOMNZQva71fAB3hB/P+ 3qGzhuoL+2Ut7hfqSEjxBfGspJOwYVACyAGm2TPqk+W+shceLytDnIRG2Cq+TkxANlyu388dBy5M CU2vtkP9wAwsHB9mlHIWwT2QG1JLcPZ7Ezlva/TyOw318WJtVIANgNZ7UhDIB8oJ+UMGSJ2B+evk oG6ifEIvTfIDdlmj05e8rRDMD2ttbjpvjx8q2r/7u2WtN0yQaC330HmRbT/T0NvbeGPCpfWMAJ7y J9YBQMdFAfv3pF33syEjWAKwFgCDAyBKhboy54v5jPW6DcMttLTasJmxrI60o44QU84PByaKG9tc 2mUd5g/woryxEvzQj0h5V994qizGTEUA/84eAaDEymlNU/JiehTAd75U1rszN8wrDPatkxUxP51q PhHfSJWBScPsjp5vaD4Ivq1WYhtfh92u2ZUlisbT9p3nRm1qYvTGidK4j0j/YM98KGCxYQGqXdNm 9XkEgxC1a65m2523OkJqwlt24ORDw8zlPaoUnK4P7snrIAplfxe97/pkjAPTS9PRpOpdTm+ljKM4 Ag1TycTUKjrD8tIXZz5oxsN7cBo7cwHQCLv/8+8M93t2N9R/6q3TLVXcI/gP7/eiZAZtRNAEaFVM JXVaPIQZ6Q5QzFgWLoT2AQ42HpqTSWMSMUFgG5RAPPWAd8wkghoOtAjHmME6VOJxI7XBgwoIJ8JE Qh4bn82ubO9yWsyD3C2AgbMBafKHUP/fP1rV/DE/aEIYjtftpe0bT+ZFtdGo+BxgCGxCcnuGSx7B CYmDzJEnAZqc/TJhZGZ7kANfDYETgAd/GAqF66GJYaR+cKeDBsoDZz/rB+C7T4znrksOPBnXD43g 3d486dnx3AuwY74QUi/V8tQX+nHhRNbhFtS99R3frBNAzdo8sien6/zu/Zr37jKT/+Xl96piMQAi ZiO+REAIUKUPOesOMGIePf9IScCLEobJpQ7m5dMBfPleWHt1vWi774d1VNLzOv4yupxyso7X9fGe HGzCnHDv/+XPJlQfGlgTzIo6Tm9Z05ECZV4wq5m70OqFdt3IKu8e8hyZA5SyTrEZdROOg1BZp2o9 0cHBe3fCfggiUG7jvf0BXQr6uX677QqMfDcOWdXZjNlI1gnsD1nCVCV5VydNp1y5okyZUzL3ASzA BrAHPkgpoWCd9CYScneOp2woW7cnDnTs4N4RXZsjy0jkxYKgkYB67svfl7KDI+N2ZF/O3jhes5PX Nuzs1Q2bGqrZkYOckuXrv7bZsqmJokp5KEKnn14un/UcuQBY3t86b7tmurZY6VNq6qsK5Fd51AaG wAYPvd6p2ibVH/8Mi01YnAJhND6MBP8AL4CAcyQ4/hr3a1Ck7MWrh3cXNHksDNeAuXjluhcnT48m yuzFjUK27H/5xapdWnCqSZfHI3tLdmkxY794kyhXVlqKxYJNoZmUR9bPM8L5ChskYRQwwldBRAPw QgDRPDAeMrV5b8xA+UzGYmlqzCU22ewUPgbvcKATUdQV0/PJeHdR/hAN1cGv/XMI+yfpsAnJ7Iby /9k3RqS91Co3cSDmmxz1xXxz3BJzggBRn4e2DpoYAArF3fgbvJcYJqc3Z+PfL/c8T4vnoA87DGWj R1Ir/Zr8KHNSNsIxZ7wvygL2x5ySTsCzh7o8dVrteA4RTAVwwP9BUAPzMifTsyeNDcvyVrzUVJLs 6SUiKqfpAwXPo+Pr+3WeaP2QK6bETCWscr6Al90Q1cLcoOcVoI+s4MNhbQF5lBmgEMAR3yoAwzWn x5oCJBz8Ouh1X15smqVikxIc4JQoAC10p0D5uTnpAYwHdtMx1OUT1wgnGX3jqZJ9+ZGSZN1JAZYI hzhkdMISawnbhp2rfKXfKECHvng8RNcLZ3IeO+fzqn5Uymfz06SYLxjNlUXSH/JWa8UWxTnbM9Wz zSbNH70c6wdfGbYH9+Ts//jrJSk/nhPTF2HNjXkkDxOTrhW0+SEAA0NEmcNomWvmR2eOyuz17HmO l4N58hxjpcTGyl0r55q2Z9rs8qJHxVG4ABUsmEaMrGs4I4F14TPIJnlwTx0p26VrnM7OGpHj1bFK pWLLG4mlrWEWZW1zs845yvbIkT0Wb+n4IB9WvdGSZm00va90qFpHI6B52ZQhLBpSCJhofE94/YdL nsnN95gIJprQNOfdUebg+TyxpfqN/6DfMDY2EyYmgsNEobnYEE8fgWLnBCTHz7ft2iIn5tLLGipe sFdP9GxxwzU5EQmAB4c7hzOENrcwPZ30cqVp56551wBnPR7ZYFP9/W8IubrzFMFGWPBjEVXi81Tx 46i8uuT+Mx3syQEFXQfw0KoFLY4gwugQMOYOk80LVb2QmHc9tNvLfjBl0FSqUVNnSbo50GamqMQ/ IneYgFwLRvCvvjt6I8oWBvNMn3rSBjAhEC5+B6sIpVCAG/4q+qqzNrBlBNlLdfyAgp+9UbEffHlI vijuq9Odk8S+9nhZighh26jV5eegjxWMj3Y7zB95U7AwFBDamuuevuzsFGcw/8ZmxwfH8+GXgfl9 +9mhvhnjraNJleGazBOM5XvPD9mLr2xqQ7HhlcvVbxxID/vvPufPhrxgpr92vGGbFS8TwTxUouli W74hFJROE+rnZ/E9ngd5RT64JrKPHCH7zAPKCQXE3GKGcw+YA7Lg0UJMoJ7eA9OX+SLXSr7Rfg4d 7/Hd54fs9WP1G91Db+Vj5nqAJ4yM1BaUN/sMVokixNdKS2z+foG57vcVQzkWsh3bbDir1HFcGT+O i6CAiv37rM3kg/OIJfsN4AEDCLpw/gHmJ3PEszB3Muf7qQ1YTXS4YD5WNhL70pciGy/WLYkKtrSZ s802xfhDFkUNgSOyiA+Ld8F/yzMrSTbxThDq+NpM7OV3UzY7PWpPPzwhH3mlNm5705E16jWZmusb Heu2azY7U7OJsdINIiDAqtVbduEa7YqLMstomof9jvCi+fArsMAjY24KkUnMBLFJASD6JEVj5F+1 rdHGRPLaQ/XLTrtNG7QT91WVvnwU/hJMFjYvPcfXFhp29rLnELW7hMlhfDmLM+7Y4wftA/1kQRE4 JogFZbLRsNwPwGDxAS4EkMVC8KH4RA9hA+F0azQ9kT2F/Y9W5Zzmd/ik2MQc9f3vT9TUEPCGmUe2 cyNRnSAaFmEPHSGcUVHO5Nox9HrCLGMTEeEhOogPifnAj8HzsakAm/Hhqv2vfz4pxzMLfKtEUuaM zQVbUhQ87Q56njecuqwi807P3j3tBxSwYTmzkaOgAC+eAbYUQGHXdKxIIeDI2kIBdLYHOXY5L3dy N4CnACjhEvlQ3aib1bAaFADgjVZlc/F+h3bl5MtBMcE8YJcopp+/UdV1X32/ajv7vjcAhLnhu7A4 NDesSg3iaIVtbo57g0JOBK+IPTDv+FyR1SN78NtR4JxTwfn3nvcgRDD5kAHeHyaFbwoFyiwz/7UG qQQeGeVaZHID+jpfYL0rtka+H4mndKfFlxmSkrcOFCOmGAq/W04susU6IrcADIMIIf5GBs5t74Tq flDe/w+eLgn0eWZAd6WSttOXKvbMg0M6E4D3+/mbFZmhStPJO5tDCVOBwvwgwxyayxojb5wXAOv2 MxAjW9vo2NVFXCxdpY3o5G7JWMf+6CvDNjtet6NnY/v6MzM2VU/s2mtVPT+yXsTsnM7IwqKIn/li bZE15BslyXFp7M3vPz8kKwU51n7a9CDLzsmSXVzq2j/9gyn72SvX7Ee/OG1/9M1DN0ArJlcY4SwX Ektl0lokNjKONsAh6cFKevLdcGFemgWjBw5gwUOGSAHpDKA1NVJH9uS16flsb83DzWhHtUSuuEMV QU9PZrTpuCfabP+sF5u2u0RA3CeG6Uh+CrVcfBcBYSLJC4PK0jng8iLPQI2ca3g2C98lCx9J9KPe I9uzwyOTLDgaALBBWGmjgQBjelAAHk4k/ssfr9rcpJ+qw/ti3yNYPAeLSrQL4f7jrw7LtMLWB1Bh YjwHoI/GUk+pfi9wvqcDVE/VFf2i+yfPBJthExKl5EgsgfmHhH7lRO95L6W4X66lPLIR99nBqChP wdcFy+UqFLfCKlgLfDoAPMJPzhmlRxxxThY1Dv+Q+f3asZoUESY1804gBgEn6KDACS12okRKjgAH gKwmjuoJ5YwUdsZ38CWVi67J6aqKT4YNiukLq8WfBNNgrlk7TrfmeVkfBkAGY37lqB8mEvrqc+IP YIbjmPeHqX77S0N6fk7sOXaeRnPdG51fATn8hygE5Ih5BnBwcQRzF9N2xbwt+PiwN2n84Uvrkmc+ TymT3BG7c/Zv/nzi9wCLDcp1UPYhufLmod5sk7EVzkfqD8a92cVYIBAFIpLM1d/+akPBif07s2KC yB7Xzmcy9u1ns9bttOxffHfE/vIf1p2lcQRdxpNoYWe0ieY7IY8O1sl+RqHhe2M+dPgILZpwa/Sr HM5f9RpSSoe+8VjK9k637fzlDRseGtN9Cnl8gC37Dz9b11yyt3kHgBbFhTwSKeSHeSQCD2t18uDd J/DVMjfMEQfeTo3SSQXykrah4RH70a8XLR2dsv/u20cUWYzJGdms0WCsa0sVjqf2PkwMLg7josUx 6KeK8byfGYh2BcUBF2qdKGxmw4HcUcrZjRIBU27yhKJQNajrNwz7zpdKivbRspd7sXn4voqvNz+I siBoaEuAi/Az2hEAQItfX/Xz1A7tjtTa5JF9edHQC/0NSTcDzNm5qax99fGSFh1Nv7xBRwAPkjLJ ahRYcScjyYmYnwAYC3nuSlX+IvxzISeKfyNfCVtfdY86kABm6ue3YRJhGmOCTo/Skiex+VV3DBNN IfKE5iKJFIcuKQDUNf7zb4/qsI+fvlqxJ48U1B1D6SP815d5Fhxw534oCu7POuFkZWOqXKjbPylF h9V69cJrx+r2xy94Oxs2HqY0ju8//+aw/GZQc8LezBlRWoACIOW+tGUh9O1HvXkI3zsr0L45sl6X fuduEoReWSgvNhgAiY8mgA1ME0WJOaqTnJe9UwZCrH7oPY8u4xLQ0V7jnqvl6TCwAhhZTcCIvPyz b43awprnFsGwf/FWRT5VDtY9cZGuq2weT1dADnUI65WmWtwc2EW6TkfXAjCZO1gVfh3AIbMT7AAA IABJREFUhry+SwsbWkvMWQIfgOwj+4flWKYQP5xvGAayzV755VuVG4mbN9fTqaawhj+wpeaSEAXW UakTtMMh6tkvWuYndM1drzIvHFPmlQNPP1i0KwtN+3c/XLEf/npTls0+nTwVKdP/T78+cqMsBzcE DBdlkGypoQR0dD5lzy0HnpdcLdgS18Hn+srxjr34etV2TQ/Z3DSdNTgoObZ/8jzuBPpiRZ4WETvT R7aR+XdOcUKRW1y8L+AI48QvyXSI5Y6lxcrp2IsfeXmtaT95+ZKtbbbthSdGLZ9Zt4WFeUt6434I RTqGxnVsvW52/OIHfZaQdE0UHQjpGErUZyixeehjvxc02pwJYRJx6EH7mAgQvbPQFqX/kxeGpXl5 SAQNjQ14YE6FE4zZuA/ty9iffq1sl66TGd8WYCn61PDnILqBkHMaMfcE/LgOk0vEhQx3covYkCND BWlhmAbaHnDFZgfsQiSKTaF2tA1O0fHggbKaGz0xCygxZRAIHT4MP8zBHeZoqXAEGGctskgI7ref Lfthsv2e22EQpCgVcmJYON+ZH66L4NGhgVybP3lhxP7w2bJYCZv4x69UxEjwNQEeMLvQ2A1qHw4o hcEAtDjn2UykhfB8zBWKhs2Ac5re5xeuYQa6YsFfhjbDtGGjE63jz41aZP/w2w01JMS/RNgekGCd jl+o2Y9/V7OhIuwxZU8dztqembQtLNXtzWMNW96M7IUnRmx83Iuo/+CpkoDo7dMATFPmCg55zjmk yy0RSZ6dTQOoHdw1LKAlfYMW1zjnVVYUe9ifSCvnOAIouCVg/G+cxIz1vDnMVTbGO6ca9sOXNsQU aSOjPMA6eUMerAC88M0gNziWQxSbeWGeYR51OkL0S4xQTH/xx+NifOoM0m+LDBCoqsPbZcnMwS9H gAdTnPsjG5iHpJPwWcx0zN1/+O2m5p5nI+iCn0mWS96ZB8EM5cHVPLdqZcP9dDj0AQt8X3/14qZZ p2LLlYZFkbN4AJ698//zdmfBll7Xfdj3Ofece+489NwNNBpAYyBmggA4i5JIipJsSbZsxXbZfsj0 kspbXvOehzzkKUOl4qqUY1cUJ1JkyZJMi6LEQQRHkARAjMTUDfTct7vvfM+c+q317QZcUWJRJn1Y l924fc75vm/vtdf4X/81GueQYkq6tuVkQSLzmxR1MjOUqEIqILhXnHPCQkaLcbdnOgugBtaXZ+Pc WguDUz79xFKczcjtNdRJCjcUL28c9Y5zgx9MlwajwsGg/DkVb7xrIAkZlRcelz/62m5Zndsuj921 Vj75xPGyuDgfsIfd3d1y8+ZNHta07O7ul9fOD8vyYinHVoZl2pov7Q5XnTeUD2QzaObaAqGdxrBN uaSt+UxYWyylbtpU3MzKColYcRYsci5Nyd1GUnrJAcVDUukD5R+U7f3M+xBASiSHpiYT5WKvVf7V N7aCdfK/+ofHQhGx2rww3sgffWMzFKyQJcvkCQ8gKLR5tKzclTPTKDYbZmwRz4lSYiVspmeR//A5 i09x+tNz/cm3tsrJIzm3TW7BNeSlVPQIZrWgtR5b7SoBRJFCibJ8FWXtvYCePk9ZeR091A1PUTVK zi9Gxh9NnnWGw4H71OMGbmToLTRMloeGnuXWKCAD6pkE5AsfS/DgHz27XX74+l5goqJZdWNaTq7m GDZI+wAhYnrYnZSlhcT3vHVRCMYzSzbSm9sYBFrlU08sl8fOLsT9nz65VNbWdstzr2yWR88CYeYE m0jmHhinNSp/7/Nr4ZXw5uC9TF/GjeV91veXP74S5IQ8NN6ICTuEnicnFFckibFyDcmef1PZE0Kd OZEgV4qnEh06ZB/50HxMGWL5tbFQ/OStYgr3vzKNtUeRQ16tgQNmX1l9VNUOohyRgg9ZqkR/PA80 zFd/uF16nexllR4RHn/uqeVyFLHkJLFvqpAONS/dPf74/MHtFqAc0jGOvc25kDmp58HT2fJy5YXd sj0p5YHVnEbufV/+jjO1Xea643L+VqcsOtSjcVkcTCKk/7u/sBpy8hc/3A3lTlFbL+cOaYBwM/FO OZXqyQcWYlrS0uJMnK0//156h29dbAdZIQMan53LOZ6epc5n4B2TH+sRmEzV12Mqhp3oAEDSonLo vFFaFLOCkc/wakULpw63yofPtsrRlWn5tc/cV9bXV4OIoTqlq6urZXl5OZPuNL94tDUzX558oFWu XNsq337FUNKZMthvlf2hxDpgXILDglBtOTnXoeG5eJSA8VsUQlj7s/O35xoS8ureUwYOPS9MI+vX f7gTQvj3f2ktWlL8XSlc8teCES4Lnf1J7fLg3XPlT767Ey79f/u/XY3F5oGJkR0Kiyp2hli2Sfog 64AKDx9AtobigzLkPRAyyoPVc4j/wefXglaG98Vaf/+VvfKPfuVQGTXzD32ecghrOUywIOHn1WTO g1eYXGAEn9fHG/RZykQ+hGvM/f2ljy6HUpAP+cWPLIXilMdRlie0woAkgUuMF2NA0cvBCI/rJKEP 5rYoneCJwnCwMSw/9+GluC8egRyP//ZdcDJCQApUOMLiygdZ7/19bAN6Crvl5iakP7aLXo6RWuyG 5yxMtU/RrtW0w5jA9NzLN8tHH1mLEF0oz7ORG+Ot/KMvrJff/9qtWBPr7VlYbKDNaJ9q1tJneF0O G0+SQaqDXE0a95IbzPAxlY+9jyIQBHzTuB/tL/M5PENFl9dmPDtLH2wTGHN3M0yvxIenjibcBeMC ehtpk2df3A3Z/Ns/v3p7UrgwSF6Ph4YY0Nw+6YXf+uxq5KTkN6H/5SQ9C2NINlVBA0JwLWcRrC6m bPLQySmvyDMxHDcvj8sjzstaN1rWFIWuXDsoD50x1RzFcq8sd1VR2+VvfIQRwgCRQ05OHcnIwDly 75SJdSUD1lMBgVFz7tyL637uGUZoPvbhd7+yGc/IhHIGnLVzV4blD762GTL56H3oq63l+5aZ0XCW 5LM5Jz7HO6DghenfeJF3no31Kr88+kfunilHF26VTz60UB564HQ5tLb0l9LR6HsOhVXxF29ehnhF cTxbDkYLZX+c2BjzMg8vwutkWwqh4CWxim7G4fJ3yqhOrb1NNRIId2N0s/fQfQBLOsiEABoboIxQ UU5+CJSF5FLXlgvsng6wUCj7m5IriTAL4+A7eGES8dznl95Kil65JJZabgX+xGKZcBMDSI9nOTg2 byuZEgisWNpzXN7YCWv69MMLEU6p0AihrJeSuwN/aSP71FQSCbn1Aei0aYSD4IBo8HSMQHr7Qj9C Uwr4731u7TYlrnv+Z1+8EYlfuDXeVOU1EoJS+vBjQlBJamsdVdOGorhyLHHsHNwkYEugJ8XJWwOR gIn66MOqk0nn4x6y6teK3JK14OFMJ0JySfzZsr2XSPFKLij35/sdBIZKcUJSGFbne6+U8uyLm+XV 89fLL33sSDTShyFZSC9X3kUYyLNmaITdkV5AXXItB/bad2Gr5yHQyfeU1C32qOa4Unm2wwOtKQvv r03QMX4O1cyomcE3TI40CrnmXdCvkGeK23v9XYGh8prFbIJRcrbxpuRFH723F7mkhDhk5TLk98Ig jND/9LsbsTbuLQDGyQDdEB4m0aEfSoY8igYoCNcny86WVy1M2U/K6hyc2d6oHJsblhff7pVzN2fK fcc75ckHe+Fh/5e/dThkvHqKySSbxAJ+Zx2sAfkT/nMmtDrZd+tSueOlhMig9WQwFWTcF5njZUol /MMvHIp2pIoLjLQHKugY6GvkHzhRgmU9qzBcTlHOy96bHA4MTsY+92SrTIez5ekn7i69Xk7q/v96 BXB02jKIYFDOWah2Kfce6TYj6B2YTiicwci8vnZZXFCdyAMmWaykTlMG2rZkLJwsoIOI91kfm2LD ubIOydd+sHPb1ZagVIr3kJQmQZUQrvH2pMk7WDCe0MvvHDTDIvKgs9S8BwtngcMiREU+m7STmDDD DkoApkaIASHtvl54Yxh0NNx3petMmgL7zZcvfTfbbD76EBpYZfpOXF+M7rCpeloTQ0JZFF4Tqhr5 L4fb6yvPbZc/+952KGhCa50cFo2/7pmHwvrxMggzReeT2pwoid/8hdVQeHIDhI1VNMOOMPAKPKPQ ikLwPA4zS8rS8+ooUxVTHlVlCPjdP9/M2YrtFOynHppvmtUTHAjJfHilXe48Phe5nHvxqt8YhZeg OuT7hW7ui9vPy3MfvaOt8nB/vjz36nYwrh5e2y2feXI59gU0QeLZ93hWydgH75krVzfk/nLS0svn JuXG22ksohIXnOdyeDoTMu3AeMXkHBzwA5UtnlSGUHjSt4bjcrg3LVc3cpBKGtLksGdIHeKkOE4P uI7W4oWTD3nPOqU8SAKbqcmKDn7vWRiH8AzumYvczD/5VzcScNyg1nmyvMk65MI+8fi0BEloCwvl hSKFMvTfacDsgTVm5CpVTFIVj8r3X90uk9GgrHdKubo7U67y/HgcnYS+CPEYBpXXCO8vZjJbjtSz eZmwlMn2bvR0Mk4cgcppRlmTIyGeUPrda8mM4myAFFKc2sAUawJjGCy07ysTZ5KMnTiUBQWpCmeR 4mYsXVt1PJhNhPOjafl7n10oo8F2+cgTd5a5uX/3sIoO7euDQT6fpKHhOsPdWHQ9X6iBhX9CBglm ioOrnQMpM78jzMkkfD+odRfnE6pQObmDrwkaeqDClTcr/+LA21hCBGxqwXcPkgHx7/ziWig8+Qtz /a5tjkNJaDkRkhE62pumDwR+g6shbPJtNt7nWUPxtpDD9Xw3q+E+KDhI5GjZaITEffDkHGaWmsdE yQVJ/3AaAEoxPTjCxevZnhRkgFcHwWuvRL+6lFOClIgh5im7HOqZcwfBKC5eH4SQPnB6LhgP3LeE vES3BPonH08FSvlE2BFc55lQddgoSIckmnkP9JDlhsunOdR12CdlSxkJtSk1PxSoez5/dVCOXEqe eL8Hp1he0G2Q7KMMSaVWtk+e1b5TWnJiZCLbPjIPpoL4j3/lSLn7xGa5fEM7FOaHmQCG1l473iq5 kXsSMggzHIqsVGZ/ZHC3NzMCxAEVuFwmw7Kz2y89o7EakHL/gLEcF0QAJ9Y1jtvPbnnnyqT8578h UZ5dF1c2DuIevvvKtLz0tlxpgkdz8ELmav27H88UZJQOe1O5c0jJSDDJ3j0XlWXPHHMIB1D+OVoe ewgvbe/6sNzcyS4OcnYh1jKpwSmiZNBISAcDEhXRw53y4F2UqhAykfxyxTOtaRlPZ8rNQausL5jQ 3S1/8xMr5VNPLEa+6W9/ZiXSJb7P2lUyPmd5NNKj1wplFFOlmqbutUVnOeEOrs3rIptBHiiyKa0o WDi31gIO65998WbICWVrvy5eHcc9ByNL0wdamSlUHJ3BJ55aTkaRUkKOeXi86VOH2+X5126Ujz9U yrpm5b/CK2K6pTlVP9nlVFgEM0rZUaLOKbj7+qhm9YOllYA/YeXdlBsVklEMi/NJAWNEkoWwCDAr wQe9Dw+UcwNNCZFcRBFbGR+8J3Ihe0lPEgfK+KEGES8ZyMUkWHIeiytyQ1nmjWTxTCuoXmwWpeYw 1DwJYePN8AB5jPJE7psCoqy8KF0hYjaQZzuNXJmGXWO2CKmK5GCY1R/3iwuMANpkbq8cFCGoeZ0g 6gM/GEwjqQ6ESJl86bvboaQJkFxaMKsuY3WclAfO5DBYI+VZR4IiZ2SjWUPKU+cAha/0DA3tu3h1 dSqKvIR98l6KjuCE66+Q0oynQuJHcStm5KDZg1KmcDmqkek1O0jWyv5Yd56vvY+JwcGzlFS4DnlF WJOppx5aLm++t1veOLdTjh1ezDzmpkR+Ul+7D8UAn9XUXmmShVcOsv3lNZ04kpQtvNC5rsku8nFL 5fINSeNJaZVsWdnaS7Dph87MF78FTKQIydqTDUzn5tZ8eedSv9zcKeXqLYjxpEfiRdZ2GQolujl6 2G3reLicJLM/SO+ORwhO8H9++VZU0SifmOj03iA8fnuobzLZD/JwU2rB6QUVP1N7ZrMVqIaEZFQO 9eK1fvnz723ltCDVgmJ6+Vx55lSnvHM5c5KS3/JynAVKMmdkpqd7ayer44x5hLkIHfezUs4D4iV6 BlEE71EBRNfKoRX7OI5wTYjPCPHe7MVXf7ibPbGv7Ydnab3AJDCqHD+cysQ5qEwdHIZgrm0mabtH SotHHtAlZ3ZlWsajfjm0uvpXHriKdrMMRw58uzwykwR4Do9kJFef0ohScZT0k9L13csJ//c+i0bB Se7WA4qepFL5PnCaFcwO+OQvF8/nYXbIPEgVVoetUlU49BbHPbAmATw7t1/WlruhjBweC8IycJkp lvB+ArOV1L6qD5X2hRciLK1TWqDjc1z8B6bAXBnG+1j/1UWYpkxW+u9f/thK/LtKFWvLEql63ntH KgjP9oPX9+JgJ6whcxIVNChR+xufXomkqGs5pMrfhFdTdVRsptPyNz65Em0pFdsTQ0BujspkI3Ey 04YVU5ijGdXhUKFy/UvTnBhkPyJRv5ih1dxsTuwFLQkvYm8S5fTnXtsLxtOgnW4JjRIErPL70D29 wAfJ/cnLUI7CVUKpwuNlHyj5mXa2BxHMBxtaZIZmv98qb7+7VQbjTnnuNbkmYMicL/ijt0ACxlFC FyZ6Dl4NpauaGpOaTyZjgsP92acWgo7YZG49Z0uLcjtJxQ1+IXfpueUVT2oDC1aKdvnGC3sxkp6C jAEgCAdnk6m0dhjAhLnnZUNpm0R8Dm7Nyc/SCzztGCC8P4mw2PPWzoLk4U/edsaS8nEvdTTdwlym LFoHOeQisF5DpHyYRbrl7pMzZXk+O0JOHukFe8LGdqvsDdplOfKbUPAmE8ntLoWB1Qubk5cyHAbX gXS3z4wpD5MC5/UF5/zBJM4TI6GNDQU4I0WxkH/eLuX7L7+WlVhtR4z9y00i/on7JuUPvr4Z3r6U BgjRkvmM92YnRmU9AUNhJEVX+jSduUgxmEV5OBUu6Ma9p7rl04/PlKPLk3L61JG/krJKhdVS7s0Z gi5SwyIa2YY60HVOGW3ssLDoiSHK3iobJomtjYOgUXA5+QZAT/I06Wljxlr3/dloPCebzkpQMBZV LO46FKB/87kTh3x2Uu44TGOXMjnUTZqZoHTJKT+dxo313aoyrJOEPO/F/dhI30WJEsYYBjvFHZ/D ICiwIC/LmZOhDLPv0WivSfntL92MzwgTJZoJI0uBWoaVtrEsrZDNcztklUcJZoa1ylFj+gCzQBBT WdY6UVKHnWIMDNd4/vX9UCzC8hC+EypH/fKpxxfDa1xdzll9hI9H6LB4Jt5KjsfKJK9hIcK6u0+C dByEsLH27lVFCF5HAUS3vu54Jf9zl5NTCw0xy0tx5mzFmfLQmV4IXiWn8wp2hpijiPI4Q8dK4TM/ i7ZoXM5f3C7vvLcZnu2NneQhl+uL3FDwbSmoyEE6XDPBO6boAnDLSwo2g3GrvP6u9qdUjjw2h+7x +5PtgbxK1vPaheLPDvai5QZQ+Pe+shnld7nH4C6/kG1UwuDKbkH2onevk8Rz9rzy10eSHwwCy8jY WLpxGAufCRK8uZx/IPkPU3X0xGyAeN0XpWIvYvRic+icNYWsh86opqOhNk5PDyd6HZ4lFpH5SEpT gvZLHvLeU6qTyUUvh0iBOTv2hjLOfr9MAfCA7U2v2ysnF9LbcU7sDaPJ07WFMcunRW7aEbrWXtb/ +feuh8L6tU8vhyxby9/+k1u3izuKDwyXPtpzl402S2pp61aZiJ096+E8WG/3w4l47+pBOboyKifX JuWxB46UeYMf/qoKixO5sjxXjqy1yt4oZ9RlgjNpbgkry4vuleatQxoJtIdmrRxCyXkbYhP1BLbb CTW4tZ3CHgj4QConvYpcDcvNakqkvk/Ob/5a5lgq24HPsII0+xe/lYlcipGXR9iELBSrH1bKZkn6 EZpKI5O0rryNVMjZkJlE/THIM6YOZ1OwmNy/XQ0PbTa+E9bL54R1Ns+Lh0Ro5Lvgq1j0SnYYEIqw 1LoA2rGJ/8eXbgYHkb46l3QNgqd1wf3BpPzeVzejzYiS4oqrSio5s6J6tDwvr7NO6OVRqAStLyc8 I2ENyfAqzwRCErmfaSn/8qtboQyCRLEFf7YSgNDJBB4tB384nITM2trLI6vGvGf7jBAQBY09p2Ao M6GHg8UDORleTVIU2T/7kYZsJ4CjO1eNo98r128OyoUr8jOS/NNo/cAY8vipxBhZswhxm9FUlblU SFI9mqDx6YCnCAn3QoGo4lGC7hu0wLNSzN0Z6QgsodkCVX+i6wLURh/rcifmEFDojDOvTxjHCDNc flyrDvOwfj4XiehoLUnAcp0Qbl2CLnxnHJAO6+JQM168msCaGe8VYuCcvd/C4wyE7DdeYeVY295L unGhJm+X7AWgeimpgB6/fzn2jUxrOZMDZNgl/XOuZKY5FG4YVt4ymc55nqMovlB2PCLpB16yMFcR obLd/uJTy6H0vKyTvLGqIpl8+N65ctexxAoqMLg3hsL5402GE7LRL2eODsu9J0bl/jOHy9HDyz/R RJ3bKEcVlvlezmmz0EdWs8eQd0RQglgsvJIMTSojZCQtUf2e7zeLjxYmm29ZBRbg0bPzORqpmXaS 6OAcnZXWuB2f0UiL3C/5fUpQZUheZpUDmVor8ifyVNpMCAMPgnKtU6QpC4fTyCs2xH0vLyT/UlaK 0oMjrKprFstzVC4uuTg9cU2Edptbq/ZwyVG4HwIJplGHR/psVpuyfF3bkJTF4dS+9qacWSbsQSAo /Jw+PQhlaE14iPJs3idRSqhAPJJzaxQK/ZCWm6b7XwsPD4tnzNAQFHk+1tq+ROWoGaUmj2UtdBPc f2c3uJRy3iHmVVXcbEwVsvEG5Rj8nfB71gpbIeztVpIKBuPqkW4UGxwi+YuAlQz1Fo6i+kXweaAX rvJQjH9DHZMl7TMn58rPPTEX/OdLi9INCbxMapRmyAEMFXaPQ9lkTPZ40wooDjG50z+KxkT4RsnH aLN2O+AElPNkknCDC1EUSQ+6UroowAA1WkN7RdFHJbLBvjE2tXNBr1vAJpp0CwUeSX+0SzFTEm8Z r3w2zk6l/H78Q/OxH0Hb1EsPR0Txwo83w5C9dy2fJahtWmBCw2iunm+uLVnPczzoT0JJWfsYd9ZE KhrR3Yf9YmTtlTWzdjxGBrVOUUpYT859VDSy/4HBeks7lmKRymI3UiKUMUP8P/7O9UDny9fyqu6/ A8lnpmo4HsJv8s5zNhwjztJcEng649vXhuWVq3vl/KWdMt/tl4fPtMojZw+XUyeQ9/2EjKMUDLYG o6tHZS5ZE4J2V1UtPZyKZ3Hwgoit0Z5i4t2FrEjUxYazuedU8lVjYYzwselTiu8aZjKVx2WxlO/r 3DgKEZxieSE3R3L2w/fnrD7VBZWFhdlR0PXKw+ilqxNi1lcQiCXdLoWXVTRhSlo3/+0Q+ntiRwhD IsR9jlcQHN7yAjdHEdMHONTUm0uD8GxYRYpTghK4jhKzabXMnZZwEoLsmRxgVhHK2cYmP3tWlHhZ PisX4DMYJQAtrTWcCqv22aeS5+nMiV4of0rBOhBIBkFrBuXrGYJNk1LptMuP3k4UNa/oi9+qBHTJ CmrNhEYsXg17hVsYQeXsFE5WF5NzSu4kcowN4Zz1JMBm2UH0YxiNEvVNHPsqt63ImVC+568K6SXh 02vmvUj+PvPIcnnsntlYWxTaWqvOnOw1I9zbAXdgdGL01SjzPA64taz5RntVqZ8pJz2Yq8tJf41l liX/xou74SE4/FG9GozLzZ1kPpB3pUiET3Oz2Z5SWTvC+xYlNBTaBkCEobOvzTToym5aR9HXQSW8 M4pVvg9EhldiXXJqtSgluzYqbdM7F9IILS3I7abXSu5oVPtFeSdVdc43eOTeucAxyfuFMglSylZ5 6O7Z2BfV7KRvzt7NGCRyiMMwl9CKQf6ewqZgGDApm6RHHsT989Z5l4ynvlEG6kdvpzGoU7MSesFY YqOV12xHMaLOKwCJ4B3LkXrWN97dKxs3b5bjq5PykYcOlXvuWCyH1xdKVzjyE76C8IJysigEIAdP Jh5DcpRlDoyNcKdh0STo0eHegPP8t9FFDjsNXrmcooTa5KkAAlnqKvxLLFqDD7F4lB0hivAs0Pep ZCrNh9zOxev9MhoOyqVr/XLHsexbdIB5RQRKKOO109wfhTDfS9xMUKhgN5gkm2RtiXE/lEGCCBMX lsyYiStxDwQAyM7zEyjWf2UxK3UYEIBkg5K4oVapc+cQ9Uf83uQOPCNFLbdR8ybgDDwBQq5tgWKH 03HICPvXf7gbyf0KLaEshEUOMcVmvR02YbFrSGgKD1zLfkQv2lY3lKFy+YVr/cDU8SqWryWZn32h IPTVuS/rLc9CIVGINzZdI7FskYtpOMl73aRudhAkoilKskPIkx0jD6EQW/joPiPveKwXvXaUtyRs dFQYPXa4E0qr4qAyLVCS6rmZ5kKeKpo9BuPOpNf9+NlSTEV3v0Z3RaFikmwQh1bWype+favcvKD6 l8rKNVSYyVdNGtf2pgpOdThD0Tej76w1RREQh6an0/X93b5+/pnlHBXXThgD79naUBYUbyb8c0p6 hFGtHEWv0BBzEmbJG9xZQ0ljrSeJ6Idd+5ufXIk9uvN4P3KZ9pbCGfw425Qk432fopf8LaOX8wmT 6vnHQsPBJPKWoXjDi0YfQyYXInpiWOuosPsPzwakiBHD+PDCm2Z8mqyNuSXxZJwHOV0GxxmJ7haj 06Ymm4Mw7JdBf6fcub5Tzp5aKo/ct1KWlxb+2oNVOzyG+Z4m42l5byPzFzv7knAZFjkclJjcBU1q Y4JovimXwhlFs3FDqxx4LfPpViSM25EYjhmFTUiRB5USGwY3fCXpr4jhmqtI4GBuBFrVmIOnMDDu lkPLWfEgQKxhMGs2IEnCKO9jQS28JGatCIZwOWizWUkLRTopty0f5eI7VdNYBwryP3OcAAAgAElE QVTFPfAcwuVvmDEdRM/50N0JaIxEZEP+L/FpHbjm1oQHEBNXelm0CNoZE6NN7fHdTc9cbbvxvZpb hSoSyRRRXJMnuQtLtX+bVYK1rKPKYjz6dh5q61Bbeewh749CJNAvvvk+Zsr3WUfhRZbVM4Rh2euY csoyciv2CVX0SuK1fCfvxefqaC9KhnVWrRqOJ+HJSfy7rsojK55Nv1hVWWwMBKbljEIJSJDbd0qB V0iOfCZ46sPj4+m7TiorhzO8nYsJeoxQcMZ+GuOeFNI1Mtjtt8uxNaO5MkykpIQ10eQ/TdLF2ghM fuqkHjlenhalJU8TrVnjaXhb2VOb7AMMvv0gC0G3FMMxckzcXn+ckcsMGUVhnEWgjEp0YeT1YgJ5 o9yDi2w0DQMoH6UIsRhj1Ci6NBzOAwXyxTe3w/s2fCUmPceeJMaLEYx0QSOD/o3cM2q1Kl8rmpUR xb0I46UUsmE8cZP2brSS7Teey175dzJXGYnJEg8soBx743Ll+m65/2S/fORDy+XBew+Xhfnev9cU 6PDJ2jPc6QyLDNtMNs1saiQE56+MSndPQ3BO0sm8RyljuJVOsmLGtNh2Hg6am/vqoSrpmZjapiVI VS4L3XIu6nJMOklXlmdG6GymlwMB72WRsvplZNawnLuU7ALaDbZ2EoQYJHKbWS2jnPQuBT2sgZMN tznFJ7xwL5MPeHP+7bOPLzZjxPIg+j4CA1kexIO47I93IxSkFFhWBz4I2Fr1Oq0yVh2Hrt5J2EVO E8rv4wmqNAqvYLsgpTXWSo5HaDJKYKWXsOGf/tHN8sff3G4S+Bn+8QAdNPvgu4LO+TBO95kYHuvl YBH0Q01eKzwKo+Un2SGQHGTZpqHNiDdz7eZuVHF8L/yNvIu9paCtl1c0LkdDsq6EZCsIT7pJYltH eQ6ywwOn3CjmGr769zq8RPHCvvs3BRKhHKXAYwp211lrl7Qq2R/JQxvHoarVS2vLYDF8jKd9Il/C nK9HqT/hMjGy7UjCFPSXWg/PGVOiI7Q0xDRTALXAEAUk1D08lKArluvNP+vkIK8YuFKyHS0qZQFn ETGkpx9V6n0ZVYosixI+STkOJxRMHn7JePvlnky/pvyslVDM72+Gt5ef59H++N1sakZPzLCCocjz zTT35Sz6nHPi+yk63h45s28RGgbnWoLFha6feDRR7K+/2wl+NKE/xfm1H5JBue1Mttcp5v5OUftO Z8zZd36Fh932pJw9MYqc8yc+fLQcWl/6iafkfPBlPaMctn8AewPblA/GA9o8GJfN7fSkNqMBNDfG pkouBoaprXKSbjHuGmC6U0fTjYZlEZ7YcBsRbJ9bME2ZF4v5f43rHRZ+Pw93ekhZafH76GHqJG7F NhBog1A/8oCEvErjpBxeS9i/DY5Bl2F9WqW/nbG/n6TZNYHXnME69j4rkxXAGfizEWBm4rx8zsHL kCHDCJ6iJmWHxHAAVToWiIL23KytF+UgUToYqQYlOryOUMqQKsMj38cLSMXWCgQ8DwXAlRC6DqVE KGI2Ir7t5QQjsngsNQ+WV6pxWSKd0oapcXjne3MRHlGs2c6SxHeVa97hVt20755FWZt3Z689N/mq s/diwvWlYZTZKRdKYpFn2NdUDLianQgqdK6DrhmdkLQCI+LeKEDfw3OzZg4DttRq+ROAm2mJOgWI ZxctNKAMd/WirSRYUWfTi5STcj1Kj9fo4GIytS8OFpmxl+SlPzQhunN7D5Y77TKYZtJcp2HIckM1 4xVkczpAIrlN2Sd1cHCx70ORDyP/lHg3ilvqYFIWe+SRQZ4JRt7ZWfnSBnLSSvwfnJSXcn9l3rSn opwEz+Ye8UadwwvXsuotBMO4IfoQHVDe3i8qChldz6IJmReWqfqRJ/vvLDJ4lJPvR/XDoAj7sjVH XxsWjUEagYaH/dV3DnJoazBGzAcpJA87p+JMI4cmCji03Cqnj3Jk5JBb5WMPr5ZnHln7iauBf5my 2t/fz9ac2c6ozHamZTh1mCx+4oeiXWZrVIINvrFcgtM4dBPgTijv9m1homCiRGyRub3b8l0obXN6 tMUOOEFJz4sFLQF/EL6N4+AR4Ir5Eh7t7IH9Z1UuhxXMRIvCbFcSdlKmk1G561i2kHhF2b+Vyoe1 cX3KxzDKAK82FB9BGxMhQFrN/rAVE0b0SVIsgcxHX7yWGysHR5hYboh3LwdXDi2ZG5MqxOFXcfVM acW9Mz0E4SCPIOf75Vh4x+T3v7YZ9xkMF61Sfv/rm+VD5+ci/icU0Mfe67migXYuIR3cegc1wbPp gVFsrG6lVebas6osMoUKyxXVT5ihm+Y2lfDoGAb3dfepnDWIxocSEpI5CDwveycvUycY37GWmLPq YTo4Kk/RmX99GMUJ76Xs5WB4k8LtincjT9mulEpRmMdTFBo6wLz88IAUf1Rq70iqYt6Z9fjgZCLe h+ek3NEZWRuH3XdHc/xCCQPsv+VD66AM16l5LFXCSuBXPUcvFcaQu2bPdvZTae2Pp+UyZP9Ud0dW bcnLSOhRchrUfXfNBZ8ZGUxWkQy7hcN1epPvJoM8JV67f/c83ptTmKznqDz/xkGE3AHd6GcKRKh3 aGUhenetv7W1uKqJOWknubeCWjoYTrtR1Ysp4icwrA6CVplcK5IlOr9Eoz/oRJzpbrb1vNfkvFQZ yb2Q1/cD1N6SilidlAfvQIsDljRb7rljqdx7ermsLP37hYFew+GwjMfjTLqvLxvNNSmTg0oNnKDH Oj4oWnaaPitVpjrhJRROg25n8QlMlvx5Bmhf0kPwUDmcMSlIRrRl4GsSYKqEG1gs3ECqedsVaJrt LjGvTrMqyo12wv2ff6NfTh5Ozmuu9sqCcKTdoGuTd/xzTy/F4XXIcoYd9sgciOD5bCBPgsfl8PhR lqegYmR6VDSh/bMCJqk43xuV3/6Tmw2bQ+Z6HPRnX8z+vfBahmmpgwzueDdaP5LnvZly/QHKZiG2 9RG+cMsVTlhEYRpPz2ABFpz7Xb+zskIQaAehhijpGSbvPMVIUJ97bRjPby8cSJ8PAsOSTdL2UA7N dwhLhcsOkPcQ2D/8xmYob88ayXDNyE25nIHJqUmdwKf5O0WhwTwopednctjqidkIEyPcCdyUPFf2 VcrT1QKJcI0idC/R9jNrdFVi1shHDsJthSfmVUM08sI7FJKF0Qv8WkICeHRkdjA4KIfX5sr0Vuar eAuehRK3/mvLCWthcHlevBGyb99qQ721Du4u9NAdk8Cn5fAI31e7HF9PDN6po73omySLDvXHHl3I avh2AifBWQK4HJ59PkdQ1cwm8JbhDrxVIOxTEVPkHIfjhxIkSl7vP51ej9RApTNiOHK2oAnZaRh8 l1yenLEII4oSm6NysWEMrmkcip5XRmH6fZzDhs/dGXR/K3vj8s3X95PaG2SBN6zbZZkXOS4fPtsu X3hmvtx/ZqkcP7xUFhZ6PzFs4S97VbbWhYWFTLrzLmrbtUNgg2vSj+KouZztYS5yzH2by+Qtd184 t7aczIs5phpr4rjMzc3E9BUCgGZ4cb5brm3qeJ+U7YbHmdDYFAtpYx2YsIqBpWrdFkqCzYVGB5Kc VKnkevOmnEC+75c7j86VpcVOuMExLEHLwVJ6OZQNJUEAVQVhsNwXJek6QltLwLr6rAPEIlJyFssA TArD5+GVsgSepXVCHwFE0N6kYgK21PN1P49jmtcnGMIiI75107Ni71zKAwZtj7xQKEmpwQz5bp4s ZLtDQvkRKNc62J40k3myClvbot65lCh7a8NDle9jla0zZDjlImwSNgIl8q78zj7XHlKvTApne4vq LO/Rmt+7liPDagsK5VVzTuTGoSEvKlEUVQx9wOnVy/YhyXc9kpqCUXE/eAauTXieuUnGguJ12HLO ZC88hzpWrTI2TJpqlByc53Bte5XEkOAp7aDjqYbqYN+Bny/9YeYBydqR1WzorqPXhWkHfUynGvhz opHnYoDcl+8l44tzjbGemHDTLZduyOPONyBX+CSdEFInaHt4bJPoZIgukZmku1H546lTVpS8veII 2JvZrkpdDnao8gjT9olHF2/n76yFPfB3hkmblPY0Hpn32pdoR2vwZq7N+/Vyn5SRdh6yXcfhUahp 2JLQIIogAdCGMcseYYe/hU2jITG896j2tF5Z6k3KY/dMy2MPrJWTx9cCrf/TeoXhmM1779BetLfD YYMq0RwLQ3pjRuB6J9xAHDlR2m64cTycwxrNmzrEb9HQk3JkZVhGw1FZXO6W3kw3wovOqUlZXtLE SeOm0HgmLrGXnAVfKYYBrBtIkIvnoHiZYEP4RJTpHSXoM/i25udiFNXydFiu3lLVyOGfv//1rchZ OfCS3BVvE0nYUR6S66Y/lxxBHmFBJ/u9ojcqKkjZ/hNDBXaTPE+DN1bJrIqmqx0FBYM4D7LVw4GF TPe7S82kYgo0LOvGMISMEglvYyPxW0I0a10nLKOpoUiSorlXfu3Tq6HkKT6QBpaSp8KyW8fI1zSh khdPeW0J31RyLyk4qLx5BteKEWn3z4eHU0v7dX14V7w+ze3uQb8bPFr0kC3kWlbCOetCPhxSxILu XUO16zFo8htClDRo4/KKA7Ga3hJgsn2maI6tYxvIEO1g0IlcGoyV5H0OWs38p+eGRZIjk5vjydSe 1MDBjVIuvM/0Fsywp9ayUdqBN2yX4suZBJNYA43Anfa0nLt0UL7z0rD0+82oOmPuND0rWozSo78T wHJRLrUVk2t0KxiwQT7dDwXzZoRL41CodoP3ylsMoObVQeaDGlCyN1gzoTi54GEzZpG33MwzFqyq J2dDicSouUlW7/b7OSH9kbNZja2DYnLYySjavBheDcu+PyeAZ+O5Fp+oDqtGQgI0U7DItO/0Pby4 GBTRFMxW5pMVNfBi0xKzGSn81QU50OvljfM7wbywqC/rZ/CKKuFwqLI3LP1o0cjNoXXduNiVEpGD ChyVkK/BS0kgyhNRCjE0842DcnlDpzqYwEzZ3Tsob1/Yj5wT1/C9jVFgZQgVjR0j4xtk8fHD2RJk AaHdawhC0VBukoUOkcVbmE3oQKfTKTd2kt/J5u/sDaMhM0Zr9XJ4Be+BoPTBM/YOAkYgMUgwKMWc 55fVjpqIho0Kugye3V7SuvJ0CDblDgMTgzKCcC0Vg0PtoGn94clQBg4Uq8WLk9PjiRBcCqhOb/Fs 8DL15SA5ALwnXhhLvncwinFMtfmccuc5kvQvfWc7YQhbSYEb3fuT9CqWD+fACOGBdWPFs58yiQTv u3OuvPzWQSCwWWBhOsCpZ5bnc+/WRqKVF1qrx4Gza9gWeG8xVm2Rd2JSTyfyZBWmISSn5JLIsRXD N7TLUEbRdNtUN6un/ca7WkKGIVcst3AjKlAIA2MwxTiIH+WpAqy7kcY2mu6bSTPkCl6Jt+/+eUed 7lx4/h97ZLU88/BiYMasGzmeTibl8vWDMhmPyuvn9iKv0x8B9sq1yuPolghTX3pdHhwvt112B8lc oiUFFbB7IWu8aPnIuv85Ji1pZSqEQEcDJQFuIrdHKfN6KAgelzWVLgganwUhZ66nCVG8WL93XxT/ r396NXJTrlWbk4WF33lZVKOynaBfn1OYqHNAa1qhdp94kS/G/pK8104a/mB6nSQ8h1yKrMi3/Kjn db8vnZuUUb9XVpb3ypH1rXL/3aulh8r4Z6GwII4pHy4/oXRoo0Vn3A6+JAf46GqC+vxb+wNMCyyp EAvCmKAAyN3c9XCdcu5KKcsr2Cq1xWRI0evmYAGlU55QTtVJUF0N2fYOMvE5Go/Libt62Y8GvLk5 iuqG+J4yE7sTOJCBW9sWtl1Oa46e+O9+mU5ULDMJb2gCrioHrPZg1fDFIe/1WuElujfXQnz25gUh Bjc9mRdYKe42r9P1j07gfZImhFfk+QlATNDZGEWIE/zhg/yd92Q1KZPMSPwpbngt4RfrLdGN8ZTw xl50kjrE96rcvH0pAXuUprUKsO5ikq450MltlNAT+QthhgNBOfzpd3di3/TdZVvJfrm0YZx4q9x7 52yEFVqeahrAAeMxD7ezA8GaSb7rH4vWpiB2nIZxEX5VGuo6h44nKcwFeuUFObTwaahfVPYIv4qe 73MtisuLYRT610LL7rVkcOAdvnt5GCSKDlwg6xsUP0U228Xvri0qFXBV1D949SAU/O7ebvneK5t5 X9eESwyyyl6/vPxmYqd2DmbK1n4nIBIzSAFaM2Vufly6s1nRXkQr1C/ljTcz7WAv/9c/vBFrJuRl lPz+l55ZDlyUw8wbJjcKHzEaD95q3RTmzm1mVAn1SkCJ1dM+2T8sIRkdtGKeI0MbwG6DWj+6HO/N 3F7menhJKofZzD2M7xdWgyeEV9/ITM4t0B+chJwVwV85uiLH3HSl4MSj1GoT9H/664cDavHf/e9X Q8EylgZ6rC71yg/eREl9Pc7C3Xf+5K03/26FJYbtdMrBcFR6zXjySptBaB1gB3b/IEm+aHQVicE4 0b3CQ6yFpty4ScpAmBW5+k63zM72yuULGVMLr+SvCFb1ZngU4vZKi1IFXrPCaFjCorhODHTtT8ry MHNSrDwUM64tijRK/h29aBbaKO1huftEr+z2S/nXz26FAHORxf3uk+BYdM9ZGUkp3jqE1H0SwPWl VpTrYZocFC/MCbjOjYBnxR1+372+QrkmZgc4kPW0+ZSIXJBWBp6B55bIpKAdWt6Ll42nBBxuh+OO Y7PhYRAsoYxF+/bLezHynYfiUxTTHUdUi5JRlPch5LBWQoBoNbqVYE57JfF+18lukCxSgNZSvsia EFbKGypeyAgaYf+ho7d2kvOeB1YT/5TBg6u98CZY2mTpxDvWhEUX+gFzwCdG+bqO/JRqLI9CuRw1 se+pk5ZU2niYDrUw06HTJ5jPlOFq5LCm8mwJbGTAfN6P8NjhQ/2LLlhv2+JCP7zLN95rlZlWwgH2 D6QyWmV5XscEpk/N5yigMzVgLd0DniaJ8LdvJPWya9mn2m5mfU1EBvegLL/+/DDmPFqHf/wr63HA eSNYdvXr8ThNp9EhESDab28H4t0ADs3adSKzyjE5stZyV5T191/dCy/7739+LXK9nonipswYUZ9z XxQauaREFRMk1L91M4HQPDHKSCI+h+jm/MjaeE1GeLNyqqqJ8lk8WBQ+v/TMUnhzqov46+tcyzrB XG57Y7tTvvmjnXJ0bSMGIB9aW/z3rhD+2wqrAGmi/x2X5eWk23CYWK8I9QJD9H6Jt5LtCTuENBas av3MbyXPEPfRJ1RvLIYEo0NBE1so1ZxIDgfuZlqMBeFqO7ys5nSa+as6YVgoJVHsgNlEPYq0PlAq C8NiVTbF/QNMC53SmwPuNF03G68pTZ3tladKPoDwJilfwim4055HDxlh477zbCnVSm8cw0EjGZub S9kSRN6bwxJ9h8Y2zeV9C6l5IRS9MLQKx6c/vBTe0sxMhthrTeUmaHH1Qq44ePNhQISN8DcUiD8J pvv0zJSLUKg2qFM61tqEZ9Y12o4iDFW1yfaP9L5yAjfCNmGT/cO+yiPybJXfnDy4X2GW76qDc+2/ eY+E1jpRSMrj1kHYEGH35WH5i+fRpuC7yiS+9RfuuKef+/BCHAaeKFm6547Z4Fjyb5HruzmK6rPv ZGSsr4Mov0hpMQYDFeJgzs25mRTKd17eD8Bt8PRrTo4uBP2TvcAcdibb5cp1gx06ZVFOrsVLmZYd 1EidlC3eUS1mkGdK4MoNbLzt0l3I7xVIyda4TtDG9JIbS8j3uWeWytxs5u7k8sjsyaU84KrAQt+J Do2GsdOPvQ7SxSvpIGibkY9yTv6TXz8URqiCrHnWzhHPi5xRfqKEC9fmg69NblTjsyKHZyKzWRnM wbYMlP9eW9JCpZ3INPGkOIfId9bIVwLB58t/9Nm12OP//nevx4iy4C7bnkQyf7xQYloOZ2Mw6Jbv vrRd7jl1s6wu60/u/BQVlmrbtF/Wl6blZvTB5YRnIZukI8GOHM1iChh+InMJFzqtKG8KbQKHsZOk drrkHQQxsVE/UMwOay3JeiAP7cD1B9mkvGs6ciRN5YGmkQuIUC/IyMysy2mxXHiH0UKx0IGqr13o 2jmiQXhU3trQud4ug3F6LASM8qMECVUdbjAYZt5FV3vtp0MjHA3ByrUr2BxTib55IVlGhbpRGdxJ aIa/axznVjs1MD48B8yWP363Kcm2AUJny889sRgd/wTfXL6PP7IQAkio8ApRtnWWoRwEr8Rh/cLH lsIzqSGz0MHBpVAd9GBhBQVoesAeOJ08SXJpPEP9YPIpYAa8k3oQk+Qvk8Y1vDPLkGDylIUyBJoS iCG3y0kT5HCGl2Xii1DrYFJee2En8ipeZIb1tTbuy3uFR9IO5MDhijFoSvq9HC/GizfCihLUfuRA RdtItxUDQcmepDIFzmBkvm1QvvniXox1D1xUKJNReJ8UBMT5Y/fBs1HsRk+hhW6V/X2zC2bL5c3Z MtlUss/GYM9v7yl7L/dIiSdnlxTINJrUhZyUdq+buUhrHVmtBgYBJ/b42flQOgoV9s5ouvOXBtFQ nG0wJfYP9MbLdTR+Y6JlQCwPw2//nCsh+agBX+vfkz8CwXG+RBo49MmQCjkgrrmCBhQHALSb7V+U lpmgrm3v3SflGnNHDxJewjPFVuu62B8QXrrm5vak/Df/9ErDHZ8zHoP+aDZb6Ci88DiHgzIp/TLb my2dbirrn+YrAFUekCXbGSbwU2gWAzjRsIA5XE88iN/HDLrD3RAGFpSyoFi40Hr2EOKJubXFcFsp szqhRVhi8/FrffKxuVhIJWleCoXIk0qNzm5lKFP7EHkcQK3e5555HHVUuonCLPCdR5JbKBp3V/Mz AdLURVoyaUxpBV/4KEPAmJsHlrHUzITbHIV7O5nwQvbDO4L+jebUmC40iNwIz/Ht3XFSqjQwCM/t GSlD7yWYwkuhiryCMr9DFqjzyV4oI+EejqwbdbrIntBiJoRV3s0h5ZUIjb7xQjKHCnVU5p59cS+u TxFSBA6GfeOB+Lw8ijUlkBTRN1/cjfXL8FhIlNgfChCFCdAjC/+vv7kZVa/s88zBGZ6XwJt2bdRV HcAq3xbMAlvZEkXBRU6w6RzgATkISc+bXimcllDjtz67FqSAPlvbTniZ7gvDALVRW10UYurAC4aS IhCeCp/JpMNSZ2EKjVLRTAO8GtCGrXG5PJCznJYn72uXja3Fcmu/BK+7zzOyFZeXOUOYw8znkHue fFY1k41DqK59SShMKcrzvPZuJuiNEgPa9Ey6IXweZ/3WTnquZAUXu5QDeWP8KCDJ/hj1ruq2nPtm 7Slj6YRL14fhuUWKYTYHO9x/2jiv2VAi9pVM/YuvbJYloNlxDigh2843wyaktR4z7ZwxWlkysosl J3efjNRMdpjE9Odeu/zF87eCmUFIahKVdc0ZjfLV6cEHP/3CsHzq4Wn5uY+slLOnV/5ajAz//woL X/TcTMAGfnwpe4GSe7qUIyvvjx8iAAFInMteNgdEUlnylCdS80/6m7j2Dq6EK/RsBd/d2EomwmA7 DMAa9shJKCTWSzjBonqP70N2xiKF8EfIkt6f+NrhCXhC04sldNna7ocX0ZtTqZmL+/SqwFWfZaVY aJ4VhWwD3VsQFbY11SZjanemHQeLhXII5IlyMKtDwNtJIjfeRRQeDOK4QuFkrxmcWnDRB1SiVb76 /Z3wBGJ8fQMWlOsTGt3aMisvJ+7IY1D+vFLf630MQ/RgDo1FSjS1BG5wj8+3g84YpqlO4n4Re4S9 0j+m93C9E5OlXVdVsQIx7VENldEX//G3tsIIuOc3L9yMvckxbsNycXtcfvMTyzFTT4OuAZ06+wNt vTJT5ueyi9/r8GoWRBQu6sCMMG6H5DRb5R98bi2UAmPm2jzS+ShSJIARkwQFGQMoSrKBSB6/fj4R 2OkhJquBe6zeJQ9PNTnJIlvl1tbgNl8Zme60puVTj07L4bWlMphQCP1yMMxOCErDQY5qb7SCZFJa mJQMHp3y9EPz4QUOmmvZG1GEIReV4tvevXNpL7xmJf//4jePhELW8O0c8DztEQpjz2IfyR7oAQYH 30GWhFE/fG2/fOvF3YCzuLd3r6AoSqZeeDLtOZ4XDTS9IBcb2LyGPUIkQ9lQXMlhZ194VuktGzQL zlHbpRgByjBZQiflj3iFPLJJVmF3B+lFOjuMkEjHd0pToNhOyvSFcu/pbrn3rkNlZTmptH+qCsvm HF5bKE88MCkLizOh4ScStNM8bCw6peXQJ4UuQWLNZsvxw/ON1k6uIEqo9pVxm1kkQuXhaX6KJ0ju lPLfOQhFQCiiEbexkjUPxutbaXoKo5/uYo7OdmAcOgLy0D1zscmXb44irLl0vV12dvfKeB+9xn6E O3UCLc/BBvIagFAJsAnGBBKV92sXEsHfX8tkKwsTbJTNFGgWFcyAIJy7nK09qn48MMprv58lbJ5e AN2Ygobh0YERTrK67gOIUH7w3HAQfOw8TF5BLXv/nV9YDYE3dFV4TCiFdzF5JdplRsHpLWxD+/HJ xxZuI+ijI3/PUIFBrLFkPdJASV+YL2sptOTl8cx4iw4QzBiPDskeOugfne+XEyvZ+uEA4Bb3bP/L 72/c7stMGEcWGerMSUldIYpEsRwUgbZWxw+Nyz/85bXb+Kuah63YLwfGyyGw7p//6FKEiYoI4Czu naFLBtnsHXQfrg9GQz7ITRAXbqfXqGgBC0XeILIfOiH31il//gOURElZLcSrfG+1f1Ce8kEtNc2o McUH3n6g7BUwNkaBTxMd4Pgn6xS9Zz9FHvbG4flduaH0PwzDd64Jkcm6NRD2Cd98P+8MiDUHb7TK Z59eCsYOz8TQqSaD1DzYVMy7naWYZu35f2QQ7gQyP0Gm8knDdxJyVIkkQTu8TGFCgUP20RYpFCX7 7yBIE3mR1iHooxbSuysVZY6MIBLrwLuJ0Bc+Mgwn1nNa0MWrW+WpB0p5+tNsfrAAACAASURBVNH1 sraaDfw/dYUViPYxHIokXFY+KKZkZEx+p5uDabnZVGxynA9rILmbysWB4kIHj9JMcmHV5B5X1UZV iuSasLUIhJbb6UBEu0xgfaDmM2cSLKX7hHISyV1eEiAcV1/4oAG3toZIoHda/fJGv1vO3jV/e5yY DeGmx9BRbBBxrWy+9gMId/pENxKvEusOmDidV0A4NraGZX52UjZUTqCAZ9IDYYm8RyI1ydaSNykb r7OQIEQxf9CBBilgwXgj0eTdTBHhTcxsZWuTfrtnHp6P1p/g3j6GnrkTnfv/5ttbtylGlPZd8/NP L0WFTshYFYAwmJWlpOHQPL+fV9/pN4yY2XbDsqpmCSv/6//4WORShOpQ3XmQYJ7sf9LpytfIl9lP BwCM4eOP4qJH/rcbuSzhAsVJycqzqFzdc4dDlm1C0YaFtheJ4HFo7ZwSHIMsGmbTZMWcKV/+7nb5 429uJbPC3PsKLhTyfu4Pb1r4aD8pnhgY2wCOPWPs72Ly+FO4Z45No3KN9theV0BwpUJykO2J6IHX ytNhYHgujESrldXPoDs+kg39coP3Kt5sjkJZyheSyd29afmDr23FvdYJ4rxmucndVRXcblSpJ9P5 gKhE6NfPvjzUPK7rObQ8kTee3ZUbw5jUQzkaIkzBkAeKJyEWiQeU83LvFBTZs06MKWjFd1/ejz10 L1s8sSCuTIYKJsN31C6RG/vjsigMHsrVSlCVsrc/Lgvr3fLg6Rzqe2hpWO5+cKZs3NgtDz/RLj// zIly7PBSUG7/TBRWDrfU2a4FJqt2dUgpVgCHr9JRUCzHAp6Q1bEYYXV1EFUMI9+xTLIw+H8ILleS x6b8z1LzbFh33lhSEvNwmvHxDTVJHZlkUee7yPh72QvYbgVndzQMT0t5/dxBOXG0W+47DdQ5LNdv 3Io2l+0DieUk+XeYHLgYvGqQgSbrhg2UJSLkLDAPxAYFmHOtUxbmJ/G79VaJUIo7vjQ3U9pv7EfY R0GL46PU3jS01mGx0mUHTcO1ULdODpHrgPgmzKeOzMd9vBG9fK2wnrykv//59RA+YczuRWX45NK+ 7/RcHDpKQJLT3siB4IKvHOL1xdrbPyEVRSWx+4sfWY6KodHpciUffWQx/hQKOAgOyddf2Ctz3RIK 8Dd/fqXMtCX8B5FvqTzy8FzCaZ4b42QveH1YQ29u52gyHFj2NZRZjA5LpLtDYEgE1Dglg0zOfkpW w7cJ6SkciX4J86gaXkkcEYqZ7L97H6cEnFn56ikmxSDeiGc+WMhwnzLUbM1bwDl1ZKWUbq9VfvVT h2MGgU4I75ensQees3pP8mQ87uBHu2cu5FIujcLHqEkGKYY/+95O2XXfr+2Xr+/vBsjYs8pVas/S g8fb/M9+43D8HjThqYcW4pklxSm/R+/Jih7Iiz3isT+utel4N6ZpU2b//Is3I4dVIxznxTNyBKwL o+Kc8ro/+9Ty7fyiMDuYHgI1n6yztf90wQxSXiXQKOaNNlhTKvuBdr2GrFF+gYJ88j6DMUo5vj4T SrzX3i0fvW9cfvljZ8rq8okYhDo/p3H9Z6OsQmFphaBc5nuJhanUs6wFS+fQSCbb1O++dVBevTQI a6Xq8t5YSV8fWjsShh7QoqUrOS43MGP6zr3kQaL06gRmZyxZIdMb24qxRwBx6bXxRHyh+xFaWLfH 7p0Pr4E1UzXhDR1e8RAsq2Ea82V1xVSTRABHi03ksCiqpM+ghB3ymca993zyeARYhZTCsKGe1zgz 9yo0uetE0o5Qdq+f60dujdKlWFlraxUz9xoGUOtqovT/8DsbgfBWbj53KUeR+Q738qsfX46QTbhM GTAOQggW99kf7YWg6XH73st7ESI/eX8qrhqGEV7rVKlWvCJB+16//ODH+9kLujxT/uy57VAcYCGU LQobB5RSAAWwFnJewjrJXULqOqy1PAzvldLldal0MR5HGmVMQapO+TvvKJDwc504XKp933llPyql DujCXQbPquzthIdCSbsfBRQHgKLAlGkse8Asgss+OwxUB8NwLGhwnw2DKalN1qQtMk+ZwyOyqDJJ OUv7mrTLOzPlQ0daAYmQf/M+Skc+zd+TGSMTzzB31sCz2zMK/kzTxO19vBX3zUtjVOUD/Z6B+fVP r8R3MNjagNz/sUMwizkUl/f0/Di9Xwbs2Rd2c0r3eicKMJSaYsTnP7oceaQvfw+uqRPN/wpKcsG8 cWE9Jfv4fcvl8fuN7WoHTEbKRFuVlAKjUs9e0NUgwTRPYT6pe5yvjb1pKCtGiacVAza6pRwHGN2b lEPgKEtyp53AtfGW7emxlTzvi4u9cvhQVjt/mpirv1Rh5R85O/DSzeRkrpzPwhyHRviy3ZmUs0dw lI/LVdZ1a1RmdoyK70YSLvickP1dzlaUPa7GaBoNqhSRMIslEmKKtW1OreAJ9SCbN3SKzwJCZn5B lWZnP/NFvjMAeD/cCUjDucEw8jhXN8w8A37tlpW5jKXb7Zx/6KVnkEAH/GIt82UShwTlDTzjzSgv Lj8aEVWkytntPh1qCmLjx4mFIRRJIZMJ8BhgATulLxJEAg6nIaGzJq5DqeTQVqPTcqqIe/jVj6+E O06Z+Y4/e24ngJQ8H5ASa8aiB0vELIaGDH9/4SPL8SwUjHtkVVUgrbN8y59+dzvC5aD5/dHebdgG w6JligGxPhL8wJ0E3D57UQA8I3KQ07Bb4fp7Ni/PTGDJh7DQv/G6hC6KAZ5ZD+Tv/Pmt8Gy9Itm7 nCPbKdbf+ux6YOO06Pxff5az7rw3wtDtUSgJjeO1cdrhtOcVZiNVwOLxeFyfksXMat9UZyk6h1NI qpJIiZOpY2uZC3v94lY5fzkHNrz6Tg5AYXysV1ax89BROJWz/UoTRjFy1lx6BJvqr35iufzpd3Zi DT50ZjbwhsF6AGx5iAIflP/7q1hCS+mPMm0iD8nzjenjG8PYX8/FSAJlAhzH5G7j62Yyd0iZ33Mq vVd7H4YP3fbhTuRvyeOL7+2Xrz+PRz2VtvtWrCJ7me/LkD+anZv2tpwlmH2aZFI3yh1Hkl+LXOVs 0ISESBVc2oyWmKCZWp2DBesFjc7PWlHdVlgxentJHiTL9jGeuxm8GAMOTKlF83oAUTwq0/GwrM8N y2Jvptx1ajXGoyt3euCdvUSW7qnuNKWo3UFinngVFk7+6+L1pD5OtsjMHbC0DsNt6ta9nNBjUeVx HKxDr85EknihNy13HR2VU+sHpT2elGl7Lrhyrm8OIzmtf853TibCL+wPSXLHY7AprKXxQ6zJZlic 5L0inA5sgOhm2+XOs4ZAqHz2U7E1GCklZ2EugVJh9R7/FmGtLvZxKS++ldOMIyfWMEc68k8/lNNt KHZeyzLesY1RINhhYRz8198dlI8+vJi5sqvDMhxnryELDmNUw7Rkjkh+KkR5XsI1+aoIZe7txVoy EltR+WxFqKH6qiQfvFTIeYQH83osc1Sb8LgOBqHosiEWOjwHStgjeUaHwrMgNOSFUyQ8F90JlJPC DOXz9IcWo+Cgwnz1Vla3eBVvNfdeG6NhtWCueJvugyKqSpS3zQPwLBS18FLoKJ1gv1TZWH3GJfc+ K3mMpF6+9nQ/Jke/dH5abu3izE+cH0Arb8ihjJ/gws9qcMAKkFEqOgVdNyhPzht8+uGFqOLaO8/x K59YLj//4cXy/JsH5Qsf68UkpJgYhImBkW4Q+snzlRxlTzwwH+Gt0N76C4EDY3i4G8/4h89uJeTk WhYU9vrZPWEt7RWox5nj3eh8AFnxst+UX2lyc9bF37dH43I9uLKy2bohYyt3rqXSsx51CAdPToTl rOyoeLfTSF+92dfUmd/RaZX7To7LM4+dKstLP5tG579UYfm/7gyrgSpjLpQDS+UHdkgJFIPi1s5+ uXQdHoaAS4CL+nbLG+8lY4EWmegjbErbFNeHTvcCwAY6sHeQgLUEHGbvHCsit+VgJ2c5wZiWQTct ixzT6HgC+hQFWOKY5jLEOLoYB3trtxuhjk2Q0CSo/gdci7NbxYrVdG2G0+8/dE+v3DuYDUGs1pTg oj+OnjRo+9VUTiYUE7bPPLlQXnpLziHpSHLaSfY8UgTyKQ6+hLLQsn5P0CIPkmNIKVkOzFgnh+kP v7EVnhiPRQuL3wmJKL5nHloOy/vcK3sxqt69CbMovsrKQLDRqgh3jqyVyH8gY/PCcsDDsC/CNR6A 9WaEPvJAhoPhTZf0RFTjBkdKVA55YCz2V57bCWyRcIxyss+UJaNAwXhW1p/39M6lUr7/+sHt3JPw yZRiXrDvN9ZcOG8tJOklb92Tw8oIJci1G4rSOlB+MRBjO8P2CvYVOjI4coc5DzMBlfbddzN6g6Bm ScDnyUPtsjS7V+67o1O2+gtJjTRP7pIgkAJ2fxSvAyuq4BVL5MeEHri3wMJVmu0spvgMpRSh/SeX Ayj6+nv9yFvquojCEOrhZiCr/Y8hJVrJuu0ADlNWOfxUKDyK6Ur2tw4bpqQ8GwNDqX/0kYUwDpTe P/3jG9FU/s0XS7l0bRjep+91Bl3X9V3PuYqQUEY9C7FxVhYDf6ntTAFjGDlde6Y6TeExVDFeD5Rn PC3nLvbLNgLPGrrY/+vj8uVnz5Xjh2bLHSdWf2aJ9n9LYemdunoDpgfoDeYkf7TJHFqeltZ0v4yD qH6mmImhGZb1PnqoXY6tDsrzbw3KvXfORw7LZlMmOeJYe8yobEVv7aQcXcyeOUntiioXP3urRd7Z z5FHwcIwzOZgysQhYVWFTnceU0Exdn5S3ryId3oc451ybmEKIuWipB9DJzqtsHAxKfi221vCA6OQ hV9pWXNjeBY8Iq42tDiFsd8H8oQRy5zQ7sEoDkX0xu3gO2rF+4W+AcK93aaR98SKE1JrKkHs0Dp8 Qqeg7uBhnJqNPEqSvPWDe0sCWZGCkvvEowtxeAdnNV9niEyJV25960bJSG4TdNTDXhSKz1OylJX3 UwZCQC48heUwWRfK3gTqYEYYZTWX9+LABGpcnq5h8ajMrZVXSdiVFeCclCNfJfyxNt/+0W48owQ7 hSO0oSQwOvytz6zG9zgoQiH7JFH+Fz/cieR7eDfNZPGaVyN/watuMG4Du2EArf32HlrhaYSPyeM1 KE/cA9/VKi+emwmslZmNd5/I91ubdiuna1M8AYs40in339ULWaqEdrxaoOWAmdwYRkHj+6/ib59E y4r722w8+KttpIl7IUcMLhyiMI6nj92C12Ud5FF54TyopD/OdakTw6310w/PB3Tn7KnZgOiMmr5Q +K1vvbgX+6VzgiwtLWT4nv2c43KFbDbgXc9271zr9vmsPGdhqBFjNkwe5I9y2tgT9jm3IqVSNmIY pBCwXTYl6FulHKYYZzrl6CEzGDv/4ULCjY2NMjjYDZTrEq6n4BiXgMskOBaEja1S1lbka/Lwd7tC n5myud8tC7MHZWu3F1ZSQ6WN+sids2k1LqKByCzeNXiTGRWucSiVS6bswjuVzB3ID1hoyVw/vAYH mQdhkyRRp+ODsrWTuKdWqxdz5d69uh8UtDGNpz8JpUPIxGaEzt9tyM5+KiSVklplcVhssIRoDQd5 fJSlxD7mAgciiMpOzUb5/YkzWQXh8blejjJPUr29fZ5kvj/Gzq9lQ648BWue6O+Mlgk3TifVrUBk 864wSArNzX48lDkUGKPIsfDsejkwleC7drInjBp20uQFpwh8tzwaYfWdx9dBOZIWhFDy8rQEMQIq XjwF4aGqGc3N26DU5bgifzXI52SghYOJSE/PeNisI3FVkfvFp3OQh+bYf/L7G5Er4eGpJCuvf+qx 1fLo2V6ENjx4Tb7WxkGmwK2JPa9hjZVl0OqQXHvqmpXcEBEgZZrsEgm5iVL/1rA8ca/c0Uw5f322 XL0lRMIJlkYzJnwfygnfTqBwMg+tXN+0DJZTQbBl7kVhRUjMk7K+OKuETeTrG8/vRJVOToqnogqI e95+S6/ExCUjw3bG5aW307u2X+4TtCND2CSsDNvZ8M1RnCIKe/a92w3lg9tFF7Q/vFteUh22EcM0 IshJuWcofTclJRJINtdS7jqRrXLW/aY2p6uilYysQlkJMMCtGufjWAP3cP3wUFdmykkg5kO8xO5/ OIXV7XbL3XcsltPHxmWzv1DuPDoTluntS+Ny/qqcAZyGzcuKjeqbB5NPabfG5ehKNqnazBriBR0G sNmlYcnMSimHejk6jIWULC16FYMnPdHyrJWDQXAIhLjagsNQXdnYL4s9Fn0urJEQUIVGuGChMm8x LpO9zD2xKNFiFD2EWcGrQq2vL5DSTVLV4ask/zWkc6BfO6cqmC07kqFf+NhK+frzOyGEchnuQbjM a5Lr2dmTa8tEPY+Fd1Zbg3KkVB64udn0QB22ynwp5OG11fByolixacSVSc3t8JwoP4fB+ipYyFkR sui72xgFp9Ux0JHmcCFKtF/BhtGAMd07xUuBelYCbx+REcrF8RJiVNhuzYFkUy7FWHN77pNxkbfM EU+ZVzGYQMKZ981w8UhjuOt6Jzyujz+6EOsI7yRHwjgZFKEHztrYRwUDbBqu7X6tI7mzWf4bxMH7 wpttJoe32xgakpesluzt6/13tsupQ5PyrVdVi7ul0x4F8FJOh1w53Ocv55zDOhzEs2JGZahVUq21 e6AEyKzPeX4KUwGIUmE8XFP10Hf/2qdWooFbew1Dy9sHMTDcIwZMNGSNkQaZTTqYHHXf0E7j4++2 AioC5GnPeEbvJ8dL+ZNvb4XB+uNnN5vJ1tl0HDxrzaDZU6vNoI3gp1d1TYDyroR5PPuwXJkdlasM gwG/5ositQzjKM9nQVtlqRlTFxFI0xBfueN2d3dLZybBo/+hXp2lpaWyc3Cj3Nodl8ubiYUaDDMG r8ND7zqc44coE/1qlK6Fmu1MSns6CgGPcGouWQotRkzOidaKBs4clCBZTo0JLHAe5X1u8ySmy8+r IBmEcfHaQdm4uVOGw1I2R61y/ur7Qy14NVDsPIMos1KKK0rHkrCJJB98gEU1Qp9JbiDB9pxRUGjm BRJCr6QoBldIjnbeF9fbjumjk+uRMA8MUjMolHKmGF0jerOacjysne9wX56WkvO8sfCdmXJqNXmn vGKiUDAOTCNf5WAIxSj/rIwdxN/9u5BCEUKyFREfTNhvfmYVe09U6ChgSXHhhDwJ5e77gTV5Olff zMnaLD7l84nHFkI5URiGp7pfihodilCTZfUcPDS/VwggG7xU4ZKWFUq09jt+56Xd8vJb+2V3Oimn 8bKf7oWnOTMjtIcKH5Xf+8rN8vq7w0gexyBcLCFB6pgVzQr8rIN5s9DQvd2bSFZePZ8hcMpsVp7J 6+LctDx0Gs2yiU3C0xyumx0J+dwxpq7hjrcuPFNYQnJYmRMiN7uX7AxkhHKPBu9WTqwO6vBo8k8A qrBPjydMFhQ871ZeifIGYajK0XpR0pSds8Djc9/WGTiYwoWH402TM06CvX8dgeVBGlYyFsM/miHH Ybi78rbpGVbUvshE4hyOKttJ0mDiuLv9mn4gtxXVWsjqEqDRNAQ53Ul/sPuRCnBm9/q44GpFNRNk P+s8VkccKpGONuMCTFEjNOm5yH1k8y7BsUAOqYe6GAMdc/IJXqI712fD1bS5717pl0vUdaMELMgN +K6BuWap+f3fkYUMmSK0MEgyyO2yvP3quf2yuXUQOYftSacsttGSpLfCSltUVvC1dyfl3P44LEpS 3qYHSIkl4LEdSWCCVefrBc8Rnh/5MkpLfocn2U1PSGij5O5gqB4q39cJ10IJv89NSlxLHSpJ2UnI yt25noNHscf4pKWEVFxtrG5UY/qTcveJubi+ptYccZZNuPBtlB/F5UfS2vfmWPGkXeFJEVBhymP3 ySNmNfOpB+fC4tfpMvBd/+bbyfkdsJMgFMz2lorYdiAl15WxHW7eoBya73M/DqV9d2gpc/dvBqKk ub87TNZH0pZ3KHdjnwBmoxPhVDLKMoQMmk6EbOnKZ0mwYsoAj6Xypbn3E4eStoUnzxP3njrjsM6Y tMe81t7cuMzPmDbUKlsHs6XLO8KcG3nSbDELZdX8UDKffnwxwq/kZE+ZyKp4Xss6UnI/eH0vFDas lGJC5C8Xk8r6L17YDTZbLJ9+L2cnX8frrN8Z7S0NGDMgG7f55DUwK2b0yoN39yK36lp43XQfGJfH m37xzYPwhuUYpWYYmZiF0EkDafBFTmDOqqTfBUKnDhyICmF6rHETOcAqE68YHBhxhpaj0U7a781m HaQlGEKeaJ02XtpG0U3L+Yu3ytWNgzjuRw8tljtPGIM3+zNRXjlItT1TpurxzUTZ2vxMqxNmIRLB r+0VNK4+MxzZg/5MueOw0AxtRlpHnhRw6Xb2rqbiwnCJkxsxfuA4MpTzCiFqZsP1ZrnrFmkc1LXy RcfmE8TqgEdjckePW1pBm/ehk4lDwuXEg/i2ib+hKBJrQokSfj8x1HSKMysFtw7IjPDHsIRILGez q82Em0Lr67oVn2XDrAFlgW/KfzvokPm8Lf/26Nn58GIiR7CdPFqnT+Qo+hiyEFY+lbMKpfX299kO ts5psIL6HcAnQwCYmKFF//YoeutG4VBOSb8zKU89uBC4JTARCtB7XevO5tC5H9VFiW7tXlg1a/Je 2Mf953lILN99It8nZPc7Hl+OdsN0kcMH7Elt+7Gb7sGfDvTdJ9eiSuuQZ9WMt5lTs/03A9P/QB+h fEyMV2uqt/irYJsM96QMgBYrOJknE7mhWLM6XbtVWtNxWewNy/d+3IlUzPICTvZMV9QJz9D2d6AB WpwJ0Cevxr0IrxkeU2+OrydwlfeSzfCt6C/0PBQc7zxav64Ng8BSgh56X9hKUdt7z8gjI9tkwu8x K1TmWcqeMtcdIjynLJw1KHvpB6EfjBP5TKLCSTPENPt7yXdS4iQw1n3KGfoeVcWQ8Q2eVNKat5p5 DHuN9xUbNdMqJ1ZnohKpyBHN+QpTh9LY2fcI/5oCkBcjAc4xmvTKl59jcLQLTcq1TQ7JoDx0Zqs8 8+hawJ5QRv3UFdZMy5QblixHmxPc9D5SY/O4oiE5erMSfNbVV3TQKhvDblkegiPslV7P9OC0fBpP hQ5RCq2LA6PVMABYjfBYIIIbzqlxl9ua7JetOTQz2b6jzy9LzpmT0VgsEZsYGbmkXoQLOUosw4Vg PG0SplXB+Akl17jFy4v5O+07ddJ0VJyaqbl+B6QnFxG0wqOkzuGhAJueOtqJkJRC4pFaI2X9sPzH 8dpn2EgB+746at2GO0BK0RgrHIxgkLhu8kuJSbkUAyFC4sdSWzKg2WDC2BjFd1sToEF5KffEi4nw SwHiYBIVSZaawFFq2CIYJGsI//bMh3rlxjaFmSRtEskOUYzf2oPunw3FQ+ZAEYQ1gU87BvyaYUxl fLDWkr1wXhQdHNkDd+WYe/emBzTGty1mLmoy7QVFCpQ8L5aBcdjmxq2yutyNZ+FxCNMky4FmyWNW k5NU0N55Nsl8Bx8cAfvnneuinwRH+llayFxckC/22tHoa+20D1kXVbjgSQuFkFi/SrHkO3kuvEn7 Rgk5/N/4wW7k6igsXrP8GA+XbMnBMkwKGzmRmxxloh98Azda5bFPrz2T5hQmb42RkcviRa0vv98c 3m0iEdd3FpPgMimA/J0BVYA6tt4K2Xmvn6DegH0kpC3GcwXlgfyBgljTz8tgC4+d/W3kgM3oPUrK d7tHe1dni3IURqVdXj5fSn+MfpxBnJbX3mPA9spgIK3TLceOLP/0FdZ0ChsyLSvRA5RWzygjB712 5tsEfwp/guXyBkaHUtb6nfLOjVE5uUwLs/z9ovY32+5FjqsMEjJw++U0Z0xYNvdNB2iV1U67HEya Kbpj/XjdcCeH4/TCIkcxylxF5Stn7eWxvPzB2jhUBJMHBRErye8QZVUlF/3A/UTjdYa23k+heGYC YVP0jrGMMGmZgM5NEho67EnyllisS+/mbEKeDvwNi8TbED67X4IKMZ6A2eSrCo6rZspODPRskO4A izwa9LlYJPWlyXcAYxIkexGzELdRQLdCmQhXathZga0xj/BVjc27oYyFMEJlBySqTls5/mk3mFlN oMGDln+n5ITSFJqDFvCLZsy8vKDPMTKeE8+6gybk8pwP35HDF6IJeja9E95U9UKEk3I/FMz8XA7N ta/HD82El6H3zv1Zd9dnABQ49DRW7ittKQycA7lwLNMA1oAXLbk8P6uAU8r9d86UjR18TjnSvk6A ts/k0TNGoeDMXBgMiomS4uVRCtdvZUWcMoC5omBAd156ezfascgfPJg9hmszjZpho1wYDfmpv/uL a9FErVnc/oBqBH1L09hsLzGACPmsI46pyA1LTSjQ9NILte+OzJx5ikGvnV7sB50Jsm0dKWLXki4g s85wDn9Nz3WJIm943Tfln1rppXEkQiaFgzjwtsZRGbT/1ShUDns6APwj13Qm+nftsxa4ILgcz0X4 vr3b/9koLJbqtlJoQLCB2OYKGlu/OwwX141SAJWMXn6CMMpbZA8e6hRez6hcuyFEapVTKzPl4jZw T7rkES/Dd7QnZaGV1ytGdjWJO4nSre12WTVAdJJVvUO8niYEt2lcfB5BDfHkAPxoz6gTowm8RHOO a6d4KYakEYlqYSjPxBV5zpr8tjk2Br8Ub4qLDvLA06oMB9z6msjH3R4DMBtiNgIFJuCQ8/pQ3GZl dRLeBMu50EvvzaHhOaDs7W9Nb5eLY1pNTAZGVZLKjFKl9KJrvtOKpmw0NDGEQUL4qtDPePAs/Uu0 E9jgB9O5QOGeAM1Qlp7NcvwLe+W7r+zGOqwvmY6Tw2uts8/5HnAL90h5koHXw/vGJpCKiofG25W7 AzqljH1eVY2SuXZjVN6+1C+vvN0PECscWQxpPZcc8bBKKHJ4YxSPIbnAxjxVz0CRCDs9m5f7thZH VlNeKKDNHf2jDUwF7XZnvpw8hJN8WGY7GosToW4frSnlBtdEOfC2r38XsQAAIABJREFU6tQdBsuh 5jUGrVGQCWaOlZJ66e39SKTztOQ5yRypcQ5cW06VbFbeNLIaA0warBU2W32C1icT9Ikx9FmeNsVT B4BEsrshA/BdrrM43w6U+7PP7zoyoYwkvQ0orvMwpSSMIKvnlbcMfrB0kBiuaCNrugcWRllJd4Zq 0cO1VhdytgEnwH1E290cb5ChMoOxFwNicaJdvZXccNFyF/Mb22U4I8Xk7P50w8HbCmtujqBMyvaN 1MIVvMZTsIn+24OwDH7vAMDocJNZYYKVIRRXt10ubPeDkf7YvET3tJxcHJVLO51SjPCeATkfl8VW ExpO89D7XvmqrUHWpoetdjTZYqYUFuk2J7jR4tPPBuLax+eQ4MpS4VGJc6/Zq1giJEj6EFY9K3ox oLUZWJpc58lkSnBQwvJoDBjlacUE7M1xfAcLzfo/+cBc0IjYRC6z8EiYE32Qx7rlvavd8pXv98Md D/51LJvv9uPge+hQJAvpoQVNikpYk08DF3CQHzzdi+9mqaxTTqcZlm0EbwupIIRsPkMJKRIQmmQw EMZmvs0xtw68h6QBSq5612Xt37qoEpmeYUxnxpm+nJO9hUle9jl6L9/rx+dhwlSfKh0K7iYobIfQ WlKsZOWlNzUQTwLLBa7gMP7FCzuRj7I/WE3BQj71eBIgeu4fv7kXxQF5McawGlLIdvvngfb7ONKF HPBurbLTyVDb6C3/1mnPlcXuXjlzdFTevpbVMIYpK5WZzJeu+NrAtO3cW9VU+ak6oIQCjzF0gMgX B+H98BBzDmfCcJyVGBKy2ilvvGf4RxYFAnM32yp/8LXNMLhe+hYrDCS6MWKWZTO1O6ZJJbtJhS9Y b2EljrKcGZq8bCiHnpvdL0fXTN6RSxpGrq/VSuUnypHoz0HAORYNZ35VjIIoSsi6mhTFsNfQ9Lyx aDMJcObEUE7Wi2w4czxigqFayEBHkWKY0KTaTwyCYRI7+vEGz/0z6CVc7JaFuex6j7IwpsoYyJn5 oJqf8KNJeiYGOZbyL758K4RKgpZViRxemIV2VPXEtjvGXS8flEO9YblBGcVrWnYnVqKBMLdK4rWG PLF08eo0WoeDXqt5G6EAd3dtOTvsKac6DNK9UgoV5S4n55kcIt3nR9Z6DfShRJl3ayeFq04TzurQ uBw0PF6ExwbwPJDtS6zbNJ+RZ4jvmiYbqWsRMkqtsrPKAwZUoenvolA1zEarxqxE/V4oUHkOVko4 RtAobkwP+go9o+qQnA1rS1l5oZpJNz9bgNDf5ABWU43siardOBLjPDkK9eV39uP7hKaeOfoN785R WPjB3azQJBLYs8k8cd8dvfCkNFQLk4U7Uh9kg9floLmuPyXCPZucG9oVSjoHMKD3HZUzLYMxZkN5 orXRO5gJ5t14n/viBcnP2GN/Bi+86h/G2LhuHlzrHB0Xa3BTWd2yHje2ShmPRmXlZKYwKG4GzX25 T2tD4VR0Oy+IYYKrUmixp/aPAX7lXI5vJ0OZjO/GnqkIum/vsa7fe20/2mQw7PKwhdZ6NclsTPmZ SSZf5yqS/2SjUfy9rpyiFIxwjzGeFO1/5JlCiGrzWMuRAbtJoMkb8iwJipZXTR4513Lv9otyrsYd GHkvLmtKeXqlXvbY+ylZXjOyAp4beVUYyz7S9Mji+xsmU8+Cl4sToSvDvkhvRHQynpZuW3hJyU5/ Vr2EhFdeQLNvLpTNsIGd5aRhCdRuzPxLwbZwXFPCG6OCmsk4r58/iFgSc2UwkI5a5cZup8yUUVnv yj+0yuaIsmItaYkmVPxg5SJ1WgjZzeGotC4nGNCCcJ1VPyrqmTWnXHwwRtc3OS+lc/kLX0RwKDWu O2+D8qgI9RgwsJWjwpTOVdAILUEQ/qn8hKBfH962GLiOAmldEiMT4L8GqEqZCY95bISAt8AIuA/f K7/jeoQJ/iebn4fZ+jPO6poQKTjXJaN3xnGI5TpCyGME2bh869W9mIaiEfvnnliKXAlPyaGndHkH 23uJnnYtoa2pKqAK9ujBu7rl7Klxufs4tHyrPP9WFgXkvHgfTz+0GMl8a6T9wxq6vvU9PG8Yx0zg vLzfd8PxMSbum0f1zR/t3qYOcigk0HlUcnLWvg7lpagpLGGe+48qFo4xMJc5IWoFWebcRQdCuBqN umPKrFU291oBdLx49aCsr8yWE6ujMtPqlHevw0dl7qoWQbQtAbK6lmchQzzP2tPqnnmDnokBsRa8 QYZEGKtqy1vZX8wJN7yubzy/GzJAdshoVNN4kWuZ2+mPJM/TuAnbkBIyHLUwRNYYLfLAWyYPWTk3 Ki+T+IuN8dxvQj1/CnUptOPjTkA6+NSKQT67N585KflbHqKXSIAnZo8iL2XU3XzKWKSDm/Fpddr6 lpadYSlnDuWwipmmvxJQmEdvr6SMPDsZ9zyUHc/N90vDxBCWn+aYrxj9fasfOQ6Hbtb494bK2GGs jZgxn7AZkOmhhC42JuhPmnK/sCCYDVRvSim3oGhVnPZBBGaKJkFYj/VZgjYpsGurs/lwW0b+NSA0 C0e4opw7mJRtJQlWrpNJQAITcwjnE4nMA3n74jCEWPgomRn9ZhpHV5Pi18Gh3II1kwJruMC9hLG8 JEo2x3IZRa5dZxi86zXvpd3iwu1WoYznQSmETFoWHFiDZ1n5mvz0O9d3EBiBb720G99VK0gEDWzC faus/p1fWAtrv9Pke5IZISuT4S3iogolmT2MViwm9wZeJseIUWoxCGI2UclyYhQiTxhNzYcfmi+f fmy23HWkH/MGX3qnXW7uJJ5JspfX8OSDGQ7/+fd2yo/e3I9BHPONsnQwNe9S5AwIb00459+srQZl h0Z/oJyR7+HlPXn/fLA16Jd878ooPFcwC9CQpNXO1APl3hOqhxxlnpI8ykHaR4YHBAXMQUO+w6SZ 2rl46n7v75YXz+GoSmwZhUNJ1YnmiiMUlrUJTzhaZ9LokglKA1MED9xA3K/+MBWqfBS5qa0u2cOY 9MS8OAdXeOSACiHrYBMXSVrnVEKmuLPT1kgBJDCPkTzPXFrkRiMH1m5mLWaIePXmKCArEZ41sksW JP99b+YgsxKeCfH0SOuoe99F8fk9mU72iPSKYgBwdGTk0FSKhoXGSCqvSuEKE1WdyRa5k3MEIKak 0mBr6RNgJS/aK2/tlsk04Ro+u7YyVxabnse/tsLyf6Yyw/pIMrJAPCuWJCbnbGfoUOezUQAuN2jy Pm5yZq9VtrZH0VNVF4x3VfY/gKJVRh3OFiQYs71SFmbHpTtKojaLvYL7uzVTttNZivwPTYaLe81B 6UtUdiLpeGt7L6zAZJqVsyjBH4+AtKkGJmiOhQwMVsewgIQ9GC5QKWspadex8EbBsxwajb14KtgZ asjJyqkW2fzBUg7qRPrn+oQ8AK1LM2Xv/CQUEEsqL8Kyo6UVmhACypbF//EgW1soAmsObU6oWSpK ilvvu7VyBCXv4ZwybaqMe+WxULQOPCF0GFEpBzJ7Np9JLkLIyVPU+0iBEPxja5SP4ZjzZWluWi7c AFZNT46wQn1TQsIetDcVSGpN4d8MWpV4jlHxN7KAQBbgkijVyjSQua5prCsF7l7f1ikxzXychC2k PAUtzOB18SI8OwE3r28kidtQaDNQZ0/PRnIbFXIM/G2YMGj+5Tnj39plt2/MfLdMpjzFhWxLalq2 GCTP4dDzBFX7gpkAEV309iW/Ps7zyNlFYSWrhXPNjAGHnJdMQXku54ZCZsxiNNmsvGdyUtkHvnhU jZuxZnWCu/vOiTXp6dnPudleXOOdMkje+hFgdlblu51s44ppRMIx7UQN/xrFWfGgqtbBw88A3Obf V5hIdg5Gst8nizzJYXSkGNtXhwi7nvtcnWRLVKWT9oxkQUeEsNyzusdALH2gYCVYeu1Cuwy+tlNO /mhbt3AAlZ96aL088eChsr6aDK5/LYWVyTeNrt0ynUm6XPEqD0YZ10LTzBoyqzXK0OH9JB4t6z2S 7wG0GyYQMv3M//fr5qBVjqoklJlyK7sLyvElrv609HZKub6fjZpcfy5nkOZ1Mkdl0SV8Kw4okM9z ydJgYYU8EuqRlxF2xETnDNsIRjS0tnM0d8xVC06umbC6n3liMYRat/1vf+lWNOP6bv8uDEWbHLPb Hpgv/+iX1yPcMwyghpwOokMu4YySuE62fv3dgxAiaxRkbaGMMi9gFPkvf2wpcEeS3fBeevr+9Lmd +D6CqlUH0pgXwFLyGn7+SRTEOZad0gusTF9iuhcC+cjZTLyq5MDEfO4pyONeDOdoTfZLry35v1gu 3Fosz7+dsxjBCqLSNpt9ff/8ixvB0sEIHF6dhmfzzMNLkexnyNwbi+q+YpDF2WSJ4NGx9pTR2VO9 ODTuzV4G4r2fJHyodGCArtzYCeXHG41wqw+AmAaCCMVcSgprKcOiL13ajgqbwyWPxjvd2++XUX8v wIsHQxTaOxH+39pGW7MQip+XRMGQa/dPics/uZbniBFtN3I6eFWaDunKkWwZIwcMFvl3HxQMBe3Z Mhfa0GxLyg9yyOjRtTRoFB6lXynIo/K5m0R/CcocR+UXkJUM/c6fbQaraVAl8S4HSYgpBOUxRqi/ kENpozlc94Z80jiVqet4jjorsTZfR/VRu9pkGjks8KXO/vuFNmvkzxPr3TISzk2xpA7CSSAXO6It 64pXvuGsY5hqdtp5dD9Xbs2Uty/jzWO84Azx39+Kf//sx06U2W73r6ewMsTDKjks17f3G1WZiVKb RyhiVNUM64riNislKg83towApz3lr3rluy9Pons+Frei3P+yF1DqcoYKy2NzANMq3xhkr1Jp9W5/ nJB4SL+Xq4qRTWg4+pPS1vKy6EBNitmXhFA+YjjS+pEJe2FX9uM5YO+XxutoKP9TyQPW5PqyXM++ sBdDLXmdeL8kZbnClB2XXDWJ9SJIFA9eq4CDtEtYfV6g90RVBaYmEPmNl2AIRODcKlA1KzRCyqPr WRoGA6CsNPkS6gd6vIIsuQtphGEOzEN3G1yxcLtlxwEC1nOIKGAhjOd86sFuufPwoBxZ7ZbTh0EV hOC9sn8Zz/t+DOHgvXh+/ONcflCVtaUsvXs4a6awQOl7RgLLSPDY4N+ioVfVa5RhiAEZqFessVwb BeZgIu6Tm5OrY+C++oOdUAoxoRkgGS5PqNvK3kuHS8N8RfIzHJLwQjo9npqqycbLb++WV94YlMGg X67dOCjLc9lA/ua7rZjjyDhcuTkJg6F4IhFt7bHM8loYZge99p/W5vks7ycWiRL6f9p7zyfNr+vO 7zw5dphOkyPCIBEAiUyClJhEyqS01korrbe2yq5y2W9U5fK/4T/ALvuFt6x9YXtrV6IsruxdUmKS SJEEAyQSYUBgAgaDydO5+8mP6/M99/T80OqZ6e7pHgxF3qrBYLqf5xfuPffcE77ne5p1d9040AkN sGnxJog7sY8AzarBClChvMddFY9Lxdydtnsz3AfrEJlRy7e5nsqveFeehX3ktaXu2Tjux5x3Dlqc ZCUi8+w9Dm9COShmEiJYu+xNYISwohBGDap1vJrA7eF2l0sew+Wd55c9vgiomQMWRbwIlIbu7AmW pARHIoWsJ5JKfsl7LC4P7VLbGWm7vbx1S64Il9tD+9Gpjo015uxjJ0dsZnp8ewqL/5TygOC6dgV2 EXMKE8x0QRpSF2T8+XIZYJgrkEBaK0PQc/8+Mm0eXUwaJ0MaxosJaZv8b8jQRMva69lw0LMlUhRk DoXE9dgMG1fgSuhciVUoq+gNLdkwlOJEChbBx6IhBc4FiHMQd+Ee6jGXevwhHJFRoXAYzm0mmLgD VhRxpggYi/20PbCPPuycVLQZC5YFBGl+sadGHNyR+RKua2DqkEPGDYHn5EZR8f8sLQqU/6fUg02O RYIbyFwzhwgy84+ypRwH6yNcbd6Bbse4fbpe3nv1ocBQlFglbHgszG9/f1HMqvsnfBNduDa0G8s1 e/ca2C368/WUoqahBfEtFBdKj/mGRYGNiOmPWyOsjWAYMFJCcDdUfA94R/QNxMLAVTw009A7nX5/ Xs+CFXXmTTBMbVFhE2OjPIm40sdOQlFdkOtz/nLPWlc9G8x7smlpB+90KR5rUVu6MVDqdXUkcmXV UiHu9PSELa+07aERF713Ly7boDNv3/xRwUaaNZ38f/bNeTEnIK9YrRzEIUvaEMlykXtOeZmKpvuy alhw5kHZymLe+q2eXaOsSN9F5p2JorDcV0xUgfaBU+Ec3e+ySZKKOUaMFTODL20FTrqu/eTNoeSG OKTodSiYpyaXa8sXzcta4cBgnmlCgcWPYid501lwOA+WI7KIjBRSjSbKKLo1oXixrlQpYK5MkTmx nqx4tpGEDc/Iv4ltYVlpspPSY54mixyQTv3DvnpvvutzITyYu9g8R+iFds9xh2+dm7dms26Vipfz bUlhqYxmimBcz+od17Ke6nTtzSnEabQwgCWgL9zJY8dqa+26iJPQYYMTWRaDwJw5IZeJU6hKPHXe IJbBSUcGDz4sunYwSZiH7W7BRkFwAHEYAFbtqw2RZjgpvRWBJvM2WvHSnPPXuraHYGZKw9ZXnHVB qOAybhKnqnePBkvFv5kf3o8TGsEnHsJmf+30vGhcCBqLlnkcl9F5rXD5/uhz46K05fswQxKAZw6u QlqXqvm5vpqgAolI2DXcT+ZQeK4Fzx7iqnFKfvnlUTUb9YAynYJ69u++PmdPPwy+zeELBLiJuTmH lcegsHLpsMLzuuL3aeLE/8ILI1IAWD0/P71iHzmet8PTBbs4W7I/+3bLRhqUMjHfPW0OlB7F2MSE juwva0NiTZJZIpYJsRwuAbEgTmFOfzFJQEtDt2Ga3lactZNKANw6FILgIKPer+8X550E8eqNrpQq DKpYEiRpUBYM5vWjD+eUkQQqwxoyb/we6xMrEusOF5B7kpQAYoCFQDyS312bM3v7gm8Uej+WKk3r tjr26hvX7LXzNPXM2ZxcK5fJeVL5KphzaM1IGavDaYCQY7WdS803oA5S13HzbkZ8n7kiibQMiJNC 5krCHqVW8GQomTP+APlAyWPJBz8Wig+P4XTHUfXsN5H0qQt7YlaI+G+JbB0KwhM7ESsUxxpupbn1 zeEoF61wsy5UHdRRtBAOkPlP7dzUNKVWkEzBkLK86soDdgcWYDA7tGX0ZcIsjdXzNi84Rs5aSwM1 1EV2gwRQ9CQ8cuKb473VJLfiBkWrk7dri6beBd3BVTu8t2H7purWqG+eT0suYaT5ScNKu8IEmtDf bCR+pk7QYy6AbEhOfSwOYhe0AVcZy4pXjosXHORssI+mZ+FaXlg9tLFU4uNULH0bq5OypzbPLJdO jpkqleo9W6AXGgwSRo80FqkgywgTnvspVJbAikoECF+CP43gBA6q7w1Nm5j4RQWOv/DiSCrX8M48 uChB2Cf649SFFx4qeMYBCJJY4JyH7A4e7UDIz7Ng4Ls63ssPiId8fqHNi2ov1Zws2oMHKSb2YL24 5Wdzcq9RDs5ambfPPz+ijsBgn9Rwgbgf3aGna7pe4IrUGxGLJVl7CAnKjPUhw/nJJ8t2Y3bZvvaK 2WrX6Z8PTJeVoUSBkIVEsZSLbcVP6OKDdeU0uU5TjYXE+wPuZD4IMJ96t6OgNK6dKKBhnVAsyWEN Y01wUm3httgsuNRcZ3pPx37/02OCm6AkSWrw/c8+O6I1BDsGCJXnhJ6FTX1tbqCMGnWbyBLzRoCe eylDTYCZwG9iGUCZgRX7zqtgpVbspUdgNujbHOuTYVRZU1SMQs6m4Q+jCUnBrR9cMSw9dV0iA9v2 vgMzE27hBastiok5xxUmlobccRipQzMJJSzSxIvGQeXNcj1MwCFEazx+x8HIgcb8i4JbwabkoQCV qJJ48cD8+Stm/3C2rX11ZMLBwFhMuJ4XLnswXrTIPVeSYjQaDG2OwmZqVMe8vpG9zD2xrlRF0ekr yaV7AllIQNFk2jg8p+MlOEAe8qqzNBEAWnavQ989VdI6ezYyZ3UAsJ2hdfpV+94bEBLesPH6Bfsv PzVun//EERuhmHkzCkuKpEUmw8s4ZnuO7eCF4pQfqXnrrLAQiN/AMnh0Lx0zvModIcK9oYMwbsJ7 Wq1EpM5lILRfcbyHsoLUKYqyhTrGgRWVnHMMDvdgA3BiiJsnV7DpMTKSNI10VgCuR1wEwKOUhR7V SxEQEMoI0OyYv2h6LC+uh6BDxfLg4YoC1pwu/+Ebc1pskgVMruJH830hwjml/uAz45JtSjN++Pqq THmC0iwGc4Ei5/8JdlM4ukhTiDdXbbzuGB8EG9eUjRfJAawLut9Q/0ZJEe2cAIM+dsw3G80FOC1J GOBaomxphEA9HwoWZYNgqzg5xbdwC9j0oLOJpTz5QMFOnc3ZuatOp4O1xkEAVQkxS/YsG4VNR8Cc +frFeY/lRMMOLBlifAg074mSpAEEfPmRpcNq4OAB6kKDBmiped+6+v1xXaeczj/ZULAXNtK/eXVJ a/zHfzCl58CKQ7HxfWogOag4LH7vNxwFz8FEzAa3HYZVoBMoEdYPHnRag2Ef0ACDjXM18ap86vG+ 5v2gMFFAbNwKaGC9pYw0zCK4RlRLcNASt0H+yfJybywplCc4LLJluOsc6lr7cXoZeuaI3x0/6L0E kQeejYqQAHUSeuDaeBgAQdlnsuCW/XAgkRRQm0lzxDvyS32eE1oOBcpGJkfqbp1x4IpHDpaGfs6G OS+CRmlxf/YTwXpnTTGbJalS9JgVa1HK+54h1gV8bO9IwS6j4bz7nfpg4vGIQwviTRWi+Cbm/qb4 VSqoTo1nGsmV5uDkvQl3iDVFheiJSCHnhJVX5+fEpPvFTz24KToauYT418f2DewHb3bk4iGY4Gf+ 6HN1TT6BUYJww2FBGSLq29gALCJpezbUz8+0VOT5Dbp3JDaGRjkvhkN6nrEBOLmCqYBF5IPlQseg l251ytbpYxlh7XlhcC5tcE4urHi+g+KiRg0TVvxM17s2Wk5BTrBfdGxWyYFzyAcdDgHGqUNFPT+u CpP9n7+/KB4nupKgWAB1MojncFJzH6xIYkQIEn76559viq7WS5icNwlBwgIkJsOcRHr7yEzJHj5a UUwQJUdcB2WKAuN7Oo3p1CsgnqPCEXSEmAAsJzlWCm7b5Fhpjd+daxOnQ+CYE6yYE/srKixGOF79 xYp4y0cbFds307TD+z35wDVhbGBeWCJqzJgbDgLoSLAKoDXhEOLEJsbz8tO4gsyfc2FxOOkg6DpA EuQ660hhL+70kX09cUuxgXClOQS5NtCNr7/imC7W7cWPNOx3PjGiGBkHAW7o1fmyPXrUM7s8n5pR zHmRPRkvDi/BHeiJOFEU/IA5paWZNh06ig2PhuLvvNmf/+3AHj/ct9VLLVtsY6UlSqMUF/OOMigx T2YQb4vOOXgOoNRZB9aMRAqVASg9LOGRgSPlD005po4D4Z//xpgsqa+/sqg6RWJ2HCTDWk4ZYA4D 3gUlF/0KaAYB4p17MKfIQX++7019ifu2PVxQLdHZCFqgvn3kwaoODCxxPg8V9OXUggxFWCp4fFku 3TBLpJnX81+iNlNfNGuyP5O3I8R7gLhJdOBCF81GE68YSm8hkfVJ2adaXBQehH9q2ZeSSuzjSJip GXPqusSaN0k+9Ut25orZD17v2ItPr9rYaO2OMa0ifu2rb87ba6cxWxuylHhoThhOFGFVrnpMhngL ZiQnPw+iRpzdob11uatsGFmDsUpeJwkbBytFgE8QtQ1oZh0uQa1Rrdi1qebQDu6t2rEDIza/4m2s UAwsDkBCNhAWBtkrlCLCRDwKZYpAMQFjVS8OHak40Z5I4lquFAhGBucWp9/v/+aYThYyagGIZREo Z+HERDFFWhpT+ksfH7X/9ncn9Ewot9/91Kj96Tfm7Fs/XbZT52AALeoZAiktal5ZbnnNjVpIpXZp KCw4qc5e6iqGQO0b9CQo0r9/G3bKVTt5pCxLQ1bYykB1iViFWKOislnyLBoKAeXDZ4EasIFpO4aE 8f8ffbBsF6+u2IWrACZHtYGYF048nmfPTEmKmzVls3/yqbrmg5gWrg5W0yuvLykLR/MFWEFZSywb NhwKGgsV6hc2E0pW4EJgCXB0TZb058bCkjYj1hDzQdYJi+t//+oNMUig0H70Zsv+5C9vKN6JNQDD a6wdG515UyflK15LeuwA1MVOy82zY52wYaCqgRyEGItiKeTjhzm7vFCy9pmBnZjp2P6+2WuXimaw 3RLzhM9/jwfHuYeYJ/o329WrqUjeO3OzR+ldeeHKkg4IDnoysZ99dnStWB0sHTHbr353Xq4l1iLW CPG9b/6YmCIMqU5hzPe9Ka4XvCNvWL8cTkFTg2zyB3lWU+AhrrH3B+SQ/fhHmvZff2nC/pf/cE3G wt6HS7K8sU6hOSeRsQYtCuI+rC0gQwWzJQzDfopZ9cz2lrHWija3kuq0Qsl1TPOyNvg8HXoqbhDQ mRt+ZQGYscxSDFwxvFRexx7j/+FzIz4t1g9A4Z2h/cV3MVpO2W+9NGVPPDRjtRo4rVtZWOqzRx1a 3hbfp9NKykAsEuxckoDiKpFpEthvtqdTgBOfDsNYHUzKBBM2UdQmC02NpXZyrJyyBXm7VqZkAuoX 6rMKVqlWrdUDa1OwStF5x1mQXn/VWpSsXOutATtRYJyuqs1S/SMkaXk73+mpVISTEPcFN49ALYpN ygr/uUrr9Lqeg4p5J4wD9e4lC2SKuA/KhnIUBIiTinv82bfmnP+nbwpyY3WpC2/bOwKjCFlbFAuW 1MljVaueIz0Mo0HqZJyyUNwf4CcxIRbrGz9aVDtxFCRCyH2wkjDl2eS4KCf2e486gt5vnltM6XBn FBD1ztDZArg+2UOUDaVBwDqOH8zZ0QODtUwqShBlBxsoa/Of/m4xuc1APMz+/DsLyvwxd7hr0QiW JApuHO4mcovrhptIiRLvh9Kl7hG30ht+DGSVg0MiKI61yh8jhnqiAAAgAElEQVR+9oPXlvWz/+M/ ztpXvjUvwQQES2GzWqOllm/Byhmsn5zcNB2ByYGsbBTCs2b8HmVwYRYLIIrq0waFcrtbtVPv9+3l Jwb2qacLdup83s5cQim6dRoZQixKDiGUl/oc2tAmU2s00O9BAsChgZLj+v/2/5uV68zz0aGZjDnW rzeM8HIqHglLCuYOMcmKadQJAANki9v5i8tdcaojf1jrAH2/8u159zZA2q8M7S/+ljnDAmV/dGXJ fPGlUa0xkBtk7t/8xQ0x9uoBFVMa2OGpog696/Ng4NyLaRhU5ZhzoLnpGORexru4uIRy+F1SHNAZ UWmgnyfSgvn20JollDtWW9zL9xwejOK7KbYKpIaD6OrSzSYX40B78nl786LZ//wXPfvq9y7YCyfP 23/3Bw/Y4w/NbOgi+jFilCw46yYPpSrsxI6App9boISgJUFDGRFH4tQ4c71n06SA847URdEdmCnZ uYtwdQMMBXhXcgaBOm20W9qI1xcpyqSEYUXfm19YEbPiwIrK5nGqEJsS9qsJgV1f1+Dn5WJJlgsL BGZqb6No1arz+/B8zm010IbiOQnKHpyuiqqG52HjnHl/2U5RUiBd6771Uw/W1rjUSZNj+iM0//6b 83J7iJf927+cFW2MaGQRolxOShywLNdAmQEqBTSKpUocCkF2rndv+8RpyYmM5YqLg3ByevJ+uJLM E4LP/bF4GtWKMmsoCyxMlCyc4cTc/psvTSgWRuwoioY5nSkXorCY0xbQpQCZq561451Ad791riWL izgihxCfI3aEO8q1SEiwGVBuBOF5ZpQ25HPQyCB8py94J6DffKapn3tGsS036dGjVVnoWFGsD8qZ tfcCYA63gV2+0dc9pNRX3BoNa4dTmNObzU6cT8HgXM6ONJ0dk9rKsL5gdlA7K7poqycYSRin4fmd 50fExdXtFeyN98yeeqRuLz66ZA8d6Nub53P23nVYOlJT1RbQGwd/CuEuTnfvOeDF9c69ReUAcxS8 aCjb10+35GqJqypxzBPsB9/GDgPPh7U2vziwpYIrVWKNoqdedtT8sUkn0CQWiquH5Qq/GJ/Brf75 abeeYDeB4giFiPyQpAGuwTNwgj3xYFWQEGJ+ObBY3Zydh4lltWPHD5SUwYft4sz1ZEhx6vVNhyZe jhRUMW9LNrD9ox6gP8XPKUVK8Sx5TiqZcpcZwCsewwUYTnsDK1QI4wxtgZjhYGjff2PFM41V9gGE iTkluZQIKRVsrpW3ufPUfw5srnXF/qc/Lti+vVP/KHuoGNaR/U37q58srblkKC5iFkrb1kB69xSf YKDVUWjvXuzI9OYkpy4QSwNSL1LSzqnkWUA+y8QTpGZgui4uF62FCbrHLbt8jvhQ367OQ4jm36FP Hu2SCEdgxSEAbOZAi2NaIkj7piJQSZcbDxbD18OzMwiQEoCeW+7ZX7/S0bVxN9ioKu5ODSN4r099 tGEvP9VUR18CowS/Iak7fqBp/9tXrmuTKDjfcaFGGSlWptIZp5Qlc+iNTb1iAJeW4C0zghv43ON1 xUY42XF5iP0AJMS9wFKRUh0vusI505LSQckyD5zInPZYH5DPPXHCcVdYZlhqjr6GYqcnECExQKw+ Yivch3cnI/mll6pSHjwjViPCgyUpOpmcsxeQcMBq+fd/Pat5ZO4PThfsY4/UZXVdmu2p4BrWBcb3 fraiQ4rNg0uM4mMj/p9fm9X8glviMFHr9VkUsRfTsxlQNk88UF0rX0Emg/+dwwdlRagh2ngRVgga m1zOZVR1kFXHAwn+gntTcosaN4eyLtb0331jVa4aMb/PPGM2OTKw18527OdnC3bhusdjnOrI44yi CBb2ywP/uKJ6PjiqFBB34DJrSWs43knlNmUv/sV69Zo+nxOuSxMO4tUc9hxUWFgcfGpskogh+R5h imdO1jxWRKXDzMD++382ISYM1SEuQliYtz/95pydOutuN6EXFBXWmeZiDW6QsxudnI0tuHKmGkCB 4fD0hkOxA48MczYCvg/lUsgrFsn7ReerG5BuetBMXsnVZe+HidyJQjy5oHMoqkI06kyWkmopPaGF LM53BzajxNnQ5hTTzllvWBQX//d+esE++czQJiYm1LgkFJdgDUvLBO5oDeXobNwvmqryQCgBFkrK 6JoHusHQgBEjqE5GDS3vJSjUwBEDcGwGT4twRwU87tbUuGcfSelSb/XeFafvuDbvVkgQmCE0gOlY GK+5K2gToqxwhziJV0qOXcG94T6LqTg24hpYTAg2mxNLTy4ZwXdqJS917O0Lbd2TDYpyhN4ZV5bY DqY88QgyYP/312cVFPaYlAfTZyYQiK42Nooey4n5gi4XhfjZ55p2aLqs0weri0Xh1PzOT5flNuA+ YZGJsoPC1AnvOvOdn3orMZpSELfB1YLlAOuUhWZ9/CAY2itvYGl5po9rYEHxvgiqauzKOaXccQXY sMyVYBtGitqr+tn8XiZEdtUzowi9LMR9ZW/uoJZfvpk5KJjfiGFh/eLmgbdhrhBuCqYpTIbsDjdU zUAEqnX3vlhw4Klf14tysVjnFt1NosYTy4rwAnLK71GCYLGw2LCsPdNktpBoiBjIHBkt5DIKw4GD 9PsFK+2DTJEaWXoC9u2d93r2k7fydnRmYF98zkMAYAFHGs6msbCcUvaLnvEbDj3UQU0oBzIHNO40 84SCOnupI+bdB2jEerjikJU5B2lCKjhW86avPKNvaa9fRIkha8wta9BNKFkQ+ACrmW8UnmAQl7r2 b756QwcB3/HiaicJDCpkMQFTzIySb2KtOhSEz7GvYLUAO0gt6ZEprDyUiVPeNEHEF3L2i0udpHh8 zaVvaMuXMJETeD1wuNPlfTC02f7AZgUbSS4k6yEitrRIyiJEAMrxgsLF9s2uRKd4mCYaBfsvPj5q B6YLVh/dY9evz8otRGmtKSwm7upsWzVFe/POzuAC7+a5m6A+AWI9hDa1XrapNh2GK/YOXOecIgUv GGYhiRkhYMAToMzgAdVvD8rbWS/ilF+vrimA5Xj64lpPQU5qNicLJNZE0LndgU1Xi3JlmBX87aUV d1uhaZWlmgCnLBT3xs3z3nGt1DjBSfoUdzOTzw9FLkqBDY2i/odftAR74GR9OhUvExRm+cAv4b6o Bdq8bzoI/9j4KG6dwgm7hBBdzHfX2CW8htEtCoC2pOKRTRQxiorn5d3VuklIazKLffvdl0fVdp44 z//1tVm9B3NKTI73IC7EWp2m8/aCMylgVTJfsgJLeXXV+dhJjxGRuQJUSowhGlJwndFiQeygvAMx NnA0QA9wXVHgcMcD2sRSK6R3xOrGTSfuyCH0tR8uql+i5ndoUnbqqJwoq9ko7U5bvFLMH3Ey4m+8 s+rqemSsy1IezD8lNSgJp1JxZksdZnSJSWwigVRHsSg7pUJg32Rk2SRaOadDEnum6IMHdk2Ibreg lPFschA4mR7rpN6WKTEjiMK8H4xYUCjhfK5nzb1lMXxwXfbkfjKHDRSLN/64AQyBxisoJZUueXgA kPMMlOOJQhrZwOL01mIOwhR4G2tyPtUFzjlRQLPuShLLmmv95fcWtP7iXk9lS7yDA6XdG5BBlCcj 7dbX7AqVJV5+BK6uP/TO5a0WB32CQTAgWIHLi+wg86gic4/FMm4Qj4rKlUwp3niy0PT+WHFrMfyc guxr1w/cllo7mR2YzNsjRzCCuvbY0aoVrGHl8gfZHRJwFGZRr98SGDOlKiMQrEp1CN3UEhseIKq3 PVCs2MwBCOgpHG3pxC4VSiL2YrNzykfrIHiYgo6ZhQEKOj1RsdywaxevUrYBuJMsUFGnMqctz8Kp /PzjNcU+iCd5qykve2Ee+fz7Vz0Z4I1cvXJeWbgRXyTAqbJMklXBTPFMbGyPR/jzsiG/8u05bWiS EXQmBjXtiF5P16ppRCW/1iJLcAoWL9U+8m/iC5yYNBUgYA4yHhftUShuf7YiZaGmEUcrwhBhran2 j66/iUYHwSUQPjW2Yp9+tqmyoFffAq2e13dZb2JqpMu5LxZs9GFkU7HBwMYRtFc9aNGpkiGbC8sX Bc47oXTYCGxIYmBYSCQwcFXJKHI/1ptrBUPs/JK7wa6oza5c99DBzX5+bELPgDHPYLMkP3Meu8JK cGvGXSAk2Eu9PLZDbC4KhfkcckDD2G7Xee+BEhB3I67X63OQDKRAgheNZ/70x5qSFaxVNr2C69BT w32/3LfKUs6++/O+TTQHamB7cd576wWjgxoxpNrGSCjgzjh8oCWQ7KFpLMCS1g8liiWOst4DQLR2 k/JY6PSe2Yh6DXolBbFFQW/UYML55nhn5At3DgQ8e0HsGHN4FgTPndO9A4Sn6U2C+TwHFW4hypv5 VsNYakAnizqYkWl+z1immcSC2XSPAm3gSsmFbMF44XztmECzfDyMICwmdcn23IZGWFD8nSwwuYO5 9T0cTFlZsbhSCB8WWClv4+WBnTw0sP/hX1TtwPiytbt9K1jRxsbGrFarfVBhiX+nX1RTy3zJMS8R P1A19oDYkTM0ItDEDDg91PqJwGTBK+8x6RFcXL8oGbhyA1+1o+870re8Rn2BwNNuCTAfrYAO7K2r svv6ApS9Tr2MZYYQczLw0LwsNL7q6tP2U4U+bcR5yPAQ+8EER2kRc8E6FLjNXOjVFZkOuanrjfiR xFTZt699v+UmOUyLfS8e/v7Plu3bP12WILBAzAu/CxoOnodU98VkIXl3ZS+OjRrL2YTaxpXjGgFA VDcWWr9DfkdTiVpec4qwch/iArgaWIedAxX7+g8XhUb/8ssjcnGRDywETnMsNVxKeOiBMECuRpEx 7+MgX56zq43NM8UaeLG0PzPXA3IA0JF5okZSxdcrfV2TExolhkUCMh1clWI8ag/Ws//nOw558L6B WOkOP8El9uYHeatNO+MmljhKY2m2L4sMRYoi41rMF3OPO8hGxh1kcAChOKBm4ecvPu6xs7/7h2W5 irwPbjoHEoqKTjgkA7A0eJ9GzTtaU2UQFMHjVzvep2BYtquLXTu+f2BHaLF2GYwboQPia86nxrqD SVQ/wZIzfyDXyM6pd708i7lBvgRoBfBMjeuAOkR3bZF5OgAxb0B8omkvg/eODCRzw3qC2Ccw7X02 3b2XNUxXqNTMmDX0UIAJ0ItngvGwIJCpCcRJTBplyX5ijqfo6iMGCVeUxFZdFiLRl6pHyLTSBQhU vKwlrxP0nocJ0o4yylpZMRJaPiw1BpZlEfJC6ULcRbOx0sCOTLbsyy+U7TPPzZgNiRHmxSCDdbU+ U6gsISUxk+NoXbJezr29b5KC1PYaG6FI6OBfV5dwr9IHQDpVLmoiEDo2MrV5wQnkvOWeqWNDc/p7 bRU8O64cOl0AcQO1CMdEhW/JOXmcjz2yhvj6Z4g9qK6sq5iIu49OkIdC4Dmc+pYiVaftQAloc6wM 1ojOwDVxWvNZp30mCEmpSkunI+/B4kf9F5gXUvQwYkRbe4QEywY3B7dKXZlTeQLfEdVLxZsYgEYH y4MiIa7DcwoqMXAubC9RcvZHFC+y8JO3Vu0Q5Q173Wpyvncoir1zD7Gc1XT6IjxsQuaZDUADCBdk pyGBYgaoAhYYFQrERUgyoJykfCteKEsskpOYtaWWkGagXIc1xKUihvq7nxxVoJ01Jk5EPOvv306d YFa9VhOrgzihXJMFx9ygKJArOlUz1/yOeWBTfunjI8Ki4RoT94NPH6WNi4uSwlqanijKEla9ZiNv 5y6DywNgbKolBOuD68ofMsSspYjvdJhCUumxWGW+e0Nh9lZaHjDvDQs2t+AW3ol9lJL07foSisqx UmxunhfLmjlFPoX9g9SwmpPFynXUKh4WVeHAfBMP8k637KypjipH5pClibq7dUEHrYa7DYwDlwWu yRyJ9cP83cfLXotKRpBOR/weGWNuIkYp60cAWk9EECtGNrAORXmsIm5XkOoSneiYaepBzwAvBkwK D8ZYkN1tCN7dkiLQ3oyiyWxj1hi00KvkVfWxl3epe6s8ajdRrFMFDninfX7iqNkzJ0ftpaembWy0 vsZQeqvaQsWwel2C231rA6aruisye8GRxaIppt6o7ZkY0bWMFu2NFBcSgyEZhWZBQg08gVP86P6K 80lXUFDOFS/iUJnFqRNuJafg/ZCuObmCQGf0yOMUYRNjMbEZKZoGnwTKenktBpWzo/u8fTqLjdWC a8HpDLo6GCS9Uj017UyxRKw04lfUxMF5hfuG6c6zBvsiMQs2TbSz55q4FnBG8Vn1Z0v9+B4/7g0h fvTGqgR4aZbvu/JEsfE7YnvMT1CnEL+bHMdl9vkWYHXcUc7M6dQonZcdcKr2ZG3HXaFEQOIjpEAI 1HcR3n2obVJhtIpZ00GDcKP0Wh3og73dufecdIbKa7N9e/KhhiwGcFlAGFhjEhG8NwcFzAr8zQC8 KhoU6gqbjnmLA4W/2cRkipEbdSMqeFwR5U/JjlpMyWqnA7gLLc9FWpzYGZZgtERXfKmDRe+EdRwQ bEbmASCvKGjoqpMSHlgWzB/ZVRIaKHHujXIKWmHekywhz83csYnp9sR9IAsEKDve6Av2wPyf6XYE sWENqjAPlHH5sKY8aytKFTY3Lm0/StGSewRjbt5sPMWusFTE+Z+K/nn/4PevpJBOAJ2x2q/O5dbi UmTiq2Xn4MdQiP6eEWdzQG/yLiAGuNwRxorDoYXm1Y7JKXZF3pP5wLtQu7d4fimd9OxpLFOTmJiD 6yXWbWiXlzMKZQ1Fn7Wuhql6wBMJJPSK+aE9vr9vTx6HiYRC+brtn25oX8xMVGx0pH5bRZVRWJjY gN16Nt/yk5niRkzUQpQMiOfGTw0EUtm2Eecnd2ZMTzGzudDyTsvqriOnoJoJJFZH3o9TiziIWlYZ 0ISKTkVOVDBc4gkisAv+pduTRSCMmIqyPc1MmheloNMPIRYS3/14FgmlKCpXNYr0rrs3FpwnSD0C r/YUU0MQydhxfeJKvgb+Ls455MHghw+XpMDB7JCgYFNmmR9O7C8rPkCtG5sORUvsCteJOaJxAb/D jXaaXM/aRAfqBwF/gvxdwXqrKvhMQD1ObixC4kvAQzixOLXZrComVw2luwgILtYkhclYS6wT6HWs SFxCNprcoZGCvX7aOzZTda8ei9edZhqLEcFhTuS+VbwbNtYt7iunNeVEQBHYAPAx4ZZjycl6THAA FCMbC8XAgcF88exKHMyUpUyJA4rdNjWwEHZuAUrmgspPZoBenG6JnwyFz+aOTKg6zlAPh0JImbaD JGPEG+bxOW3IlPTAveR5UGLMg6iS6Alwvat3xkoja9bpl/Q3SmLvRFk9D4h/se69fsd+dgZWU2eA VT+BKBimQUa94Kn/TCBaQFTk0QreeXzg3kXEhthn/FzyJOAsLpkfYsgzcBoZD2VkuO8WZTHnheti AfEehLKS1N06n9yuhIMSk0HeRgpDu9YKxWo2XnZGWs9YhUu3jsROmT//Hf0ZaoIQDZ0Z+Facd9Gj AQhHd2CHqgN74SNF+/xzY8pCw3Q70qQZibd1w+3bNFuDJkwkXnnrr7imRtjQ5iioIPDDWmKSL9Be SbQUN+lTUDxH9lY8jZ6oQUSRseppcni8CfYC3aRzrxoQKFc6EBfWwhLgRUxPT18j4BLAxHLKJuHk 53cIvgLrAg/Szt1dP05p0upsANwTBYFvOPc6DXoI9KKcOLkBQbLYuEVsUBaYgDib0ymMvaOI2pqL kJ+EgXPYoxzY2NwfuABgSRSqWlS923YlOjS16YJ5AFYJFNl773dSHMmDw1gECCT3QgGIsqPjCYTf +eSo5pESIECKYNIYikH0Yf6sKtOH+45lAwEbypl35dp+0HgsDJAplpjiNingzEl7eJ+7lrBX8F5s YlxGL3h26mbRL9e8xESkbiNQogyFc4PoD+vWm3mYnTjghfAg4lGAuOooaO4dras4GKJRBoocrB+K VFTAsAqktlR8lvklhsahwiEWnY2Dhpd1Yy6C1DDa0KOowkMBfsPzE/8KZhB1aAIbmKhciN/cALBK O3tArfWiVWG6Fd0LKHjvNXDhKiBQs8PTfXv24Z6dOg8zR9ljOZRPwd+fYpBqAabM3825RShYG/aT mByEgHf5Zq8F/3pAeghpOLd7lL94TwVgGew9Dn+n1Ok59TcKhca8xOsImOOy1qAc98ao3H8xMT9o pGcQb1UJCikazzpZI+8zAjwogT5vfidn12lvJVKDW2iUjN6ZqvXsIyfMPv5E2T7x1Jg9+fAeG226 LYn7SShqq1TJUliNOsrGBQFXiglQEK7qq8/CoSxEdEbpR8JO4PIgwPSZU9HjnGePUBaqBu8NPcN0 MKe0+5UbdIb2rBQnmNgUNZcwCMCwiA/ujIfVZmriMOauA5t6cdmxYSywyjUwh3veXfmffWrMfuNj TZ3ExHBYSBDdCAhCgyIiHiIWCBHEeZkMAo/CUcZM9Lwggj2OhYImTiDy/bMte+Kwp9mxBpo152YH L8N3UZ5gtDDHUe7e5NKf27NcPSkhD9rmlP1xKhEP3lL7xeKR/SK2BHrb24LVdE82L1QrbPS5FMMi sxjARDatd+pO1fQJ5ItlgNLkOXFzsdD4LhMPoBV3n1IS1pI4j7rkvL4iS4W1zKf1RyFTHCysXGqz zj35PZYh78m8O77KC9FRXGwyHocAPMFw6J3/8u8WE0ldQZYkGC++F/V0rAPEg2p+Kq4mlwtkkMFz IhPIAkXvwFmkFFOBrri0SonhM7muZL64FtY1Pws+NzY5D4vianc5sBx8G5lfJ3okG132zFqnaE8c 69nxfUP73hsUvZdsKsXkUCxBzQRWieuTaUVObOhZWRk7qeEpCjhiSChfkUXSgr7j1STsZao3sP54 3nFwVVJ8blgIcrHSt7GhJ7XcYhvaMsHyonftKS72bTZxAIqlIlHisHbcM9rpYSDsTSEJntubXGxg Psm7TIBQ2uioVd86pZMze/JYwT7zUWiJqvb4iabNTDWsrhpB7uv6YzsddRR0d9S2B2lzud6agCGY UeuFdUCsBxOdzMVEzoPbdP4F74KCey+d4GzQiG0JUlDw04LW9cSCnnqoYYureeGe2MjXqCEjU5Sa ADiqnZS8v4xbgA5JQMHw/17pZQIvqqgWKpAUC0HooqcdcTDR0JYcCOkZL4+jCEEPtKEz1Abic9qk eU8A8HfQKj96oKLs2C/Ot/QOTLbYFPO4vyhTd0NEVVv3rjhcF6oddcUVvQZ0JE6Z0xu4C4Tg4u5x X1LXgEyBQvzn7y8oJf+ZZ5vaaD9+Y0VZVrpP/+RUS+UNAP0ALHJ9oYxJdXc9jY0iYKNz6sPldfq9 tqzMbmR9Uvsw/i7ke/bEAxWVQXHCwy8FXOKLL47KPQFGEjTTKF02C8+Eu4J8AD8A7gDjBC4S9YCX G1Bfu9XAs9DOndiL5lyduxOJ5mWvhxOdb1LguGEoKIgAWXOsf3W+Bmbg5WdSzAEYRW55Fixf1iX4 8mHnVLPd5LajgNR0AX6rNayRX+M6VgnFGLM9WRdsZDYvlvb4iIdCkJXZJbML18w++UTXltsDe+NC WRnRldWht9QkqDwG9xceQFdxNdzbwOjxXh0sK4Viov+mezKCMawOrZVgCcgZlj+PKABqA764RK+E QgUdnss5EWHwUemdoMzxrGscXvxMGLVEEU6huLvobgDgDZWLBPqTe8k1M/XOWWUUWcE6Xd7pdBUK qzSwQ6N9Ozg5VGnXl16etBOHGlarkji6aZLx/5uhkrmFwsKqAhw4lGI6875PHKcvGlrQgtSHUPV9 xZxSrgiZ4lypESiZCG3elEFzf3ool4BnQ8gnRhzTsqfpxa3S8gMU0dD6ZS/v4bPU0KnrdMnhHZES xjxGOXN6EsAHPMdGeuaRup4BwcWawApgkxULq27hpqYTI03PCoK3IRuI6whYEuFiM4BZQkhCOL23 mi8QQE0UFsoQUzn4sbkX11IDgIEnGcCKcaoTOyIupywctWJkplbJfvHenJhk6LD0XMABZ3LdP/nL WW+L9XDNaXWTpYq1BUMBCRKsC+Ae0fiT0zvcKe7tAXNHQyOAuEVsYrXdSs/65IP0kWzr2nyOpqkU utN2i4xmdErmmVkXlCFAUuJWHDa4jFwnXGKUQ3TSXkxu5ZMP1ewLz4/IfQFk/MPXVpweZi9ubs7+ /i2nq8HyIQvHyX4gsRa8c8Gr/omjkj3lfZCv6FIk6t3kQi1niCa5BgoAy1HUvB0oiJ3qRu8zGKpL 0wJAU4LKiifdjDlJ9+edekUgVW9GLssGK5pD6b1rOXvqAbP2kGRTV19vqtzIM5XIHAcK1ilKT8y9 ir85ngtXExlnoNCEKRR9sbP8kohiTthDq21vTLJELC5Rd/NM02od5tbQSlLeUNgRL+MahAt4Z9Vj EkdLiQCxVcB1lbB5YawgP2RU8UiWZ5Pbp6ThBpYWLujgpnVFfO/jj5m99JgX1z/6wJgdOzhqdWqU NtJ72+2aw3/IovEEnL7KlPUctpBL5jdKS8H0lO1AUaA4xKmEksnlxNfN8JZbbsKyaKJZXqNyYbEB Mq7IJYKYj8yYlG/KkDKnTCCLo4YEjbxdoBSn6UyiCLBwPfW8/eFnx4VXQghESUvXjs5ARcZOweEu IZaVcFzlvNwULI+rc54UYAPwXVLlcjtSMD/gGygO4XwSFY0oXko5IeOpU0N4oY0Rcn8VBLK3Q8Lq wCVFEGaKKEQ/rvguAoG1QVdm3pEEAohvrvPNnyzJCqTolYJncFrM35c/ATUO2bGWcwutek0kcxat mFgH4koekKUUiniBB+NFD5WSJijAT39sxF5UA4sbIvR7+3xLlhjPw9xSbMtao9T5N9gv3F5+JrQ4 vSEXnV4IV9Exbm5lRjiAv4Gp4IZD6yvYy2GsMiedY42QLRRsJHM44FhD5o1DKZQx64jFj9Jl88lt S41IiUfiMiO7yAbWLtfiechEI2tYfmLaTMoBYWkmOJ6BqvkAACAASURBVIyyYLEpE8MAygqLBGWI 11BYizf27caS2dsXYdQ0e+r40C5fA0/H3vFYknpyLjlFcbi6OnATho8klbo6rbonwee4Pu+dWhbI f4iGpsWaK5V2Z6jMLp9BnlgHOl+7ArjZZkuklyrv8UNNnXko3s1YYJhtinml8A5JILBh0VdAfHbI 2XqFFRYWI09nZf/34Wmz3/+Nhv3mM2M2PTli1WrlA1aU+hzehaL6gMKi8rvTbdu597GGHKPx7Z8s Oe4kMVISwMOyiY7J3F580r2BvfO+m+KcaHBmOX2Ln3ShxJwJlIAupy/fNTu+n8adgE09fuIpZo9j RKMLNQFIsQTuoYaPNWh7K9oIAtnBwHChrXQ/RcPeCMLjGuqJN1KQZYBAsMhYJVyHzRFuheNk6I7r rJq8AxYQAW82FddSSdFwaNMjjimiZuvyPDVnvjlRjCrLWXEMkbu3A1llCJL3tPNnQ0nhCrLBEVqU bMAUaKYKFTNYI6wKlBku9zd+vCzl06x54JbroYTZJMw1GxpXFGgFz0v9J6fmuUvusiK8qkEbKQgm Qmck5hxoR5S98EyLK47Ngj6IueU9wn1k0xAwjViHmD2SW62MlDj9fYPy7riKe0YWpWBA07O+HDJc X0wIFUek4+ry/nRRvrHgVDg8G5uHTYTscQAyv0A6sKgdJOlxMyn+1Ig1AKyi34EhYYEOMBW5ayKR 3FuyFtkymojIJc7ZxSUvzpXVkSin1agGFlmIA/kZMq04r9nb73s52FMP9O25R4r2yJGBGlC8+g7u qDMusJMFTKVDU2qPpwJwNU3xrKb3ynT2Tq+WcI3A+7LOzBf7rFZxbB/WqQylVM3Av8lGY8mpx8Cs dwwHioI76fWJScNIf9wEe0J8qSRB5ybHPEbJJZ4DRV7KWRNgdVZjaGLc+nzqCBlMP6xGakM7MF2V snI+q53r9vwBhcWFMdsmxoZ27ppnolQ1XnZzHKFhc4RSVT1hLWdje7yWDEEOP9lNWawyDzRzsqFU imrj5a3Ig3oj5q1SdFgCdDGcqGxMhIwZ4TSC6oUJP3u9KxOYOA9YFBYFwYJkDiUEk6aoalNlO5uD GBCWgihv617qgOsCJQuLDyUxguSsACg4L+3BFXvrvba98CgE+Z4RxRpiE3ojSu8gzVvzjCiRR4+V BJolxkC7JzY6gkZCAIuHe/PsWA4EkxX4NrNj+5zPiY0IT/rHn6rLTfvWT5e0yZ97rGbPPtJQP0E2 NBYLc04wF1dOLowoUPwUpnwDNxnlqaqFNrxmzt1eKtJc1OR6En+krIV3R6ljVRLcBaoAQBUywwPT DuzkXbG4seBQUGssHnQCEsOk7+7R2k3Qr5fjeOOSv/7RotxNfgfTAAcIbiaH4KFptxCVDV7ych4F w1vO5a6DIvXVY2MgH8iUKzxXaGw6DjXKwdig3Bve/1AWqm2tOcgUucQ7UC+AFEtCsWNFIhsLvYE1 U+wGUs65ds8uLuXErCCgKmh0OLaWBvbGu2C/TO3WTuwbWn64qmz3aUgCFcpwOcCtA4YSJS3jI47t Y9xM2DgtDYqKQ98D/aZDkflGXifHPNmB3HPoUvfKgUfoBsXLz711nddS8q4oV5EaEghb63iaEzso 92AevAWYI/AvYXFJoTlUYymb9qP0rJqz+bbZZCMnqI86Zq1g/cL04q3JNlJWO6XAvFU95RATRTux StkCzVAdlRu4HoSZGyJYCEGlXFDMA4XF59jM9HrjM2xY1R9iUlKzNeGnvHfWcE3u5Gt5qxQ9I3Jl 1kn/sW6YdAkr9CHEDMiwASrJ+yL9zsuj2vggowF/8vwASvHtmRPaU+F2RCcaYlmk0VEcnMCclEKG q4WRu1QEPQ/NVNYsEDYBtX+ff2FEGx8lDm0MGxdFw2cQEK6BdYCQfO7ZEadhgvsKnqSysz4gUNzv gSkKlhu6HkqYYDwnWzm5lzwjStv5nQiqO4868YCfn16VEmPjsYF5F6wkUUmnWFt05sY1ZP1YK+7P RmFz7Bn1GBffw2ILd4oNDRkjpTCsFdYLVhHKAPjHz99eVTwKZca7cK1oUcW8qUMLNEkD/x3XdXyU b06KenlODi/AvfzeqWTgbCcLPRRfFWBUMYrur6RGvR7LoZ6TJACuuLJmyUIloI7SQnFjXWDdIKes uaPJ/RB1IGZB7jmfQW4JN6DIVVNIPLbGuzgi31b8+ZU9lLvj1DbK+rKXCZCnyoCAH7x+dmA/Pz2w J47mbE8DplwHFu+f9JCHcFgpYRRNWNkb7qG4m+h0Oa6w4XBnbXD5vfEqjTQGNlMgY+6H0NS49+7E wv4uxI2prpA9i7yGck2kC7Icw0Njb0Z45/pqf831laGAaSjBSFlHNhajMFCG8eQRMGoUoA9tT6Nt v/0CSrRie0dLdmC64riuXRwKul+5vmqrLTJ93kJJ1fJDdx0YS1cGavHD4nK6U+ax9PZqoqzg5HH3 hkUiRkThJ4FULBYmhQlHUJg47yTj7sRSy3FNCKc67aL1C+5yTox6MS6nsRgrQNlPOLUvaPbegFpE bwsP9of7qUJ8oS9LRYhy+KD2l2WpgAdjscFzIRgIH2llMlgIH8oQ8CqWxWp/IGCkUNSJWwgXFDYC NgfPy3M4jsd57RFGLJPA+UStFkBTCkuhiOH6bCisOhS2mDjHHb6BtcczQ53DvKsA+Z2W5hsLkcJv hAp3FSsNF8+5uTxFj/WKe+BcUX6iOQodfm/H8Sz0HPQJ1AE3lO8cmvEALVYlMSXmJ5IUQB6wJJxh 1V3zetq8CD8bn/lmcC02IUpDzUdpfSYEPPPnLhzKA7hE4H84WLgnGziKnB856jHN+SVnJeCeKEUs IBQLskCmjzVlczPPohAGnzdatIkxs4tXAYK6HLvL6Bkx5JBD0deVeI0TOhJIRzmg0FCwyGQ1tagH IKk2berN58kH7V+HKa5RsNBoo1Yr2kglZ090i+IpR3EQWPf+f67QyZjzD9bav+0/h+wPy1yfobEE vph5/aDK0IjPrRJe4FsOsA2iQzU5SXE5leb0za7SgRnjgiRMSloxfwCXo3s7oE65fmAZnXxXANPR InTnfp89DbKeZiNVb9D6/GMFmxgp2eJSy55+oGBPPdywsZGaElbVSkVYyu3AFbagsFjMoeIZrX7F a6soGxLpmqeDAfcRCCamo4r+VF7xYKrgJ/sTtMgytxOVDP4+GxRBJSWPUgokPGY978T3sQq8aWOi KkmNLMXaeJENX7GPPFCR1QE+6XS6H1bd13+wKKEkc0lAFeHBOsDyIROFm4brgoDQx47gseJAdQf1 RTZNWad8zn77pRG5VrhZTDoc7jQYJeOHy4DgRL0XpwmKmLnIdg5i46IQkEa1UEsEeFgJAEEBQ9Ki njnlWeDJwmLjQAgoCTWHPD+fRZmKzSBXFFMkz7na8dZqfE+F0wApE70Olu/y6oIOEf79s9Or+j41 jRw2NJp440zR3r7QkcvCHxp9zC56SUcUd7OZSQ5g+fHOXiye0u8ttw5RPBwco41SAmz6z0lisNGx 0gghqCwpkbzxzIxXXg/6E4837puCi8p5qJAfNisKN0CfWHkVOKiWPFOLCxjNKahVZC14RpSy4k0p yO2KC2/AW91HCIAuyYIE5VxZir8w4bqwXCgrgj0M62XOvMAcOY3aQNaY2BNzzAH27pWc/evP77Fn H4Pam6SCJ3Soh22nxBMJq2A05R4cDMjvlVmvaOj2PtgXU13NKbRPdDcrAIWLObWz576Fq35YkBiK 5BaKVdTEcs1hySAcUbBj+6iPpNsRmeaeTVIJ0MZ6y9tc2+EJ9AqVW1wb2qGpob34WNmeOuHe0vxK 3vbPlG1PY2jj9aId2j9u4+MjViwCHXJuPI9v7kyA/dYKK4f/3rGFdlfmIgvt3V2cmwpXiZMl+hey aVkohInJB47AJLJhEU5qgyh3YCORRcQK4MTDVOd0Y9FeeKwuDBHocAHmMIfLIIU9XgbNi7p/lHKi 3/3j359WO6Cv/s2CFAqxEASGwPTx/SVZEaJQFum9CxVKKhgbsN5IP7PBwFwJipCjvhFYRE0KRL0I E/0ymU74uCjwhSsdwYvNJsK51Lqd98MSgq/76ZPeYJaTGeWB64YSQgB/9jZUJAV765wnNoitYZ3A VoASEx3x4YoydczXX73iRH5YQ+2ONxFV0Syo/dmgr/bEBy4eCloFyjLvvUEH843Qs0HJsvI77ony pSznmUdrQtYD2cBdw3LFOkNZgsM6ts+R3K1B4mxKQMfWosMGAnOHssCVZH5Q/CgGEb8V/FTnQODa rBuuIXNKPIbyLQ4hbAnemU2JwmR+iHlGIJp1xuLmfkgHc4W1weYNF5XieSxd1hYXkkN0eszZaIPC RXxZNc9sBzxCSaYUGkDusBrVgyBxtsHMgNoi/qVnb3hYgfviyvOeUUv5/vWB/d0bQzs+07VaCdaJ vD37aMP++kfLCSbjbeRkECSwtdzLjscfKccJZgieg3fkMzyPAMI5GpJ4TSv/xnsji8sfbwPmbh4M DaONgfilRutDmxoZ2LOPkIDiXUq20ipaq9WxK3MduzZvdvGGK1fCHcvtvB1o5OzRIwP79EfL9vnn x2ykwUEBcwIkml510et1rV6vfyATiILaLr5q0wqLm9DGm/bjuDRYUSwWk1WvYtp5AJTFxkLQyckJ Wnel5aefu2IUBiM8nESeqfFMBhPrXVG8jAJFRgcW1fE9CODPAYmKk+Qd48NAeRDzgSGA7B/9+xAc WmezsXGx2DBsekx9Sj/gP+dakL8hqMSwECg2cwgAinAxnYrEUXAxCGijYM5ebKuN1/5UXkK5Ciyg NM0IpDKxLKwf3DwsRJEI5orCjwHoRIi53iOJbZS5QKEG4wUVBMwFpySBb+b7qQcrUhzEWhBGNtDf /HRZ8wuFDEqAgwOrl9oyWA1QqnyXe7K5ULDMH/9WurzpsRsxdta8jpLDBtcaBQesgXfESqEDz+ee b+rQ4FlRQHzfkeve6tyLsL1wmnl4D2ocUZNQCOwAUO7L83OCRwkNMRmsVCwN+OA5NE6QoFjqK14H HGFy3K2faI/Oe6DYnD0DMKknMdQUpe1xO96fv4MpAqWLFXwG4kCSEOpO42SPzCfKkEOVd8GNjO7m ZBSxBTigI7TAfPIMpEa8vwBZusGaW4uHcCW650wUpcDApdE0Airpcq4l3NzFq8s2GJCw8BAB98Pt ZB8gm8gPa8Nhxlx5bPEmgyoHbv+akwYYiY26k1wC8GQoI08cet6zfFDE7J/o20cfGNhnnq3Zw4dr tm+6ZlN7alatuCUUlo9qGrt9m51ftTdP37AfvXbD3r/es4ePQA5Qt/0z49INcFKFIlIDjCElQP0N rajdcgXXFJYH8TAnHSTHZAXzJ8J68WpPxc9YEBFURQBQbhErYLLAYWHeUnHPIqAkdILlPKtRzqTf L97wTOTcQtvOvj+0YsmDyNGVBMuNE1akZIcrAoZiaeAKwnPkBa8l+49/uyBsC7ECL29wNkzYCXB9 AFiymGxaTnA2qW9At764J8+Ga8Z7iLStM5R5jaI9ccC0ofgeguPKyK0FSmi4xyViDEIiu1tJvIc6 PZQfJzDXIe6k5purnvp+4fGKYlWvvE5Wqa+UPlYe70f8Dbf0X/3WuP2vX7kuJYxrB+CSzcj7sYE4 AJhrSl1gzuD3KCQsKtFGjxcFcVAjUMEHHE2OQuHQITOGRYfifOPVlv3eb45qrXhXuuGcqHjTDzKM KieitrIKnxWumWdeUfQMFMNg4C42riPPwSbEHcQNRMEhWxRvo3xR4m+/2xYfP/PN+nAACselOFNe EBksOd+8bu2wYVFMHJxOcOiHqQqGAUqm4nE15O36Z3FrsZ6huAZvxWeQL09EuDfhVqwrI2RUgfCq hwhamdInQRxo+T7wQytgLLiuUB7xnvz+LBi0UsmeOGH26KG2DXp9O3u5bFfmza4qc+eYLeaNzc99 kXfWlXgpzBYcungXURDNcxTToTee4lF8f57gOCU6gmkM7Mj0wF56pGP/1Rdm7PGHpq1Rr4maeqNB rLBcgmWYJFHfju/zUE+1UraJiXEpHyyqLEo9lBLW1W4rp41GkQm7fH1F9A+4KWw61YFNeFboH4ar eiE/WcqyUBDWOHmJA+SmQJk7qA+yukN7KaI12zvlGCYneoPmxEnZeE/iA5WiuwW5fF6AS3Gzz3t8 6eK1vh2ZLMnCAbfjNXLOykCXZE4fLCQ2BRbTlz4xKkWGMgXTReFtNC3FEmg2PAaA2R+NTC/fGCoY jzKhfo46O8WE6gU7MOkNNbgnrgAbEKU9v1xUzaKQ7DQ5BVSIVchnBRJ0BD2nv2OgnJqXTYDSw6Vj DogZAgI83C7ZH35uXNYHbgruHaDRMxfb2nAoBeYUC4broFzZ3I4nAnNFb0GfYzZQQARQWmQ2vaOw lyxhobKZcY3/6LPjsmRAtDN/pNMh/ROX/OWuDgIsJj+8JKaaX+KJuLzcD+Ucbc+ZVxQBzxx8UQzm iA3NvOL+HTta1qajMJmEwl+9sqgwAe/N9ZE15nbvRASzPSzB+9KCjDnAomFjiXW27GR3x/bXHCZT btkFGGUp3UntuMjK4pJjTU+MeUdtuZoD9yaYU2GhUrlSkBc49MatS94pisojy8xBwYGAfMEBRlu2 a3MQ0OV0kNQbZXv19IJ96omhPXjQ7Ds/cxwiCtcbW+RtmHNaZBV8j7mFxVwRlkCexHOXWEHGR90y p2s3B0erZbY/NcGAaeXoeM9+7xNl+8MvHLajB8YUAL/ToK5vcXHRrl+/LitqanLCRkdHpaTa7bat rq4qRrWe+uXDUFaMouNF8EmJR7kSwu2is4kaGRTNju33wCzZE8xqNt4yNUctCNZo5d3TZgFfNEbb rbKb0GcutvRzTh5YGsBrcMqJ3kO9LnHXerbU8qxNt+e0JjwPQvSHnxkTtICNAwzg5SfrUqavnaYB QF6pcDYI3ZApJ8GVpDziNeJxSw6fQNFxYrNJ3jy7KgvAWV096ImgvvI6jSGwfGpyK8jkUnzrLeFX 7fnHG9r8zNG//u09Yvb8k/931s5d9C46WH1seN7JT9meff2Hq1K+CC7KAouUz0N+x0Hww9dRJmYf f7Lm4NsLHuNqTIJ16nvLrY63NaPLCgIqgr8KpzKgSgL9K/b3v1iRK0oDieECitVPfXBH+yYStcxq XxYNpziZW3odMsd//p05gW1pAPrTU8t24VrHPvdcUzggkggcTEFnzcZHMf/wtWUJDjExoCBsKuh8 sAJ4TqfOzUk54nKhXMnEcoBwYGG1kfwAuKr40gqu42DNGkVRcnieueDum+OyBjZ3xV1MLAtqN5Eh sTfQPTxZbpQaPXCwZK+9494ByASROqoofKjP8AwOe+AQzVmJEpMWmTwTiy08TuNlLBtHwavpR9Ub geJ1AC1BsXmXm5ytCOIAFIG9AQB3qDlcWO7an35zRYoVYPbTD3Tt3BWvQ2zWPPBOxjkwbcg711cz 12U/2LCsKZTHslYlxxBufDosOTYQT+bYBOVefTsyMbAvv9C3f/nbh+zoARTOnWNJBMhXVlZsdnZW Smnv3n1Wr6P4E66yUln7HPtyvaX1YQyVF8NH3eut2pVrs1IOKKblnJ8+w0HfFhcKNtGo2J7RshWG q9YodW3fWN4ePgCjAe3jgQi0rWRdq1VxBXN2fG/X5up9m19o2cmjdcXGLl9bsdGa2bMn6Y3Xt8vX c1Yvc9p6Zxd61WEO7xvvyYp56QmaTizYvj00n+zZuxd7ir/83ier9oPXV2xpaUVB7uceGbXCsGOn zi7apYZZuTCwkerAVle6NjOSF8NBpUKgnFPX7Oz7nil84oG6FYvAFNiYQ3vjnUWrV+l6UrWvfmdO cSgCyocmK/a5Z4oKpF6/MWfffmXR3j63YhMND+heubZsDx+p2+eeHxUFyeunV+3CxWWrFcwePli2 Q5Ntm51dtS88W7TjB6CqmTfrLas/3NMnynbhyoKay751ZtW++OKIvXNu2Yq5nn3qIzl7+705e2h/ 38ZHy3ru6ZGcPfgs7lbXLl9dEK/UMw+bYjLFIskNXA4SDV179HjZDk7g8mC5dKzTatnjh+lz17Ov fqdl75xv2XOPVu2jJzgwzD76YMXevbRqjx7u2spyx4qGa0dZEXggaEzydqXm+CXYBy7d6AjDNTVa Eq6qUhhYte5g2X3jjl8jUXJ9vq1kzqmzC/bdV3uyiE6fd4vriWOU/XRtdn5FVjoHDHG6Fx/DckhZ wOWeVYtOvUxpGi5cbki2emDdzsBuzHWlpF891bbJ0by9/KRzkqPwalWqCnr22FEyhljwXZs6QLEv B7XjoRx42rF+tWvjdYr1CawDzcDbwE0liD20arVghdzACsOeTTYIH4BnGthD+4kldezhA8B1clbO r9q1lZZNNdliOfvxKZhMC/blFwh2t+zMJT/g1ayV5iWjJEooYMcy7Nj0qFvjoNvZgx85hnVLKZQz /kKAh0v/rR+3bHa5bQcnunbywKr9qy8et0P7mptSVlhWPMvysh9AzWZTymq95VStyry+b0YRrfnS 03vt8N6addoA+0DyFqxWrXgzg6VVr0FrlGykWbHPPI2wdhW3qkCtvKdh719ZtP2TBE0Bn9GqvWTl gtPGih99qqnrLiy2JPy4fCvtkl2bA8nrwU3H52LyUyICZUzbxuoDmzletZXVBWtM9iSAs7Nl6w9L dnjPkv2P/5zTt2h7p8D8LNlLJ1uqrcKtWFzuKrMBTqwKiLMGdgtsUccOTXIq05MQrFnRSnmylJTj FK3ZqFodBPaemvUHNI7I2Z4xAHFkZdrWgi2iTDH0Hmu12tZue6B7fLRqzTot09r2yOGePUjHl0pZ 8aLhoGMvPoLSGFi+0LGTR3J2aIoA9cBaq0u2p1GyiWbOZkYH1l5dtAa4qBPQF/fs5EHYU3NWqxWs /EKN1hk6RJZbJbNcWaVNWKqdtgP/CKwK0b2K1dOTtRjc2PMLuCJYEwVrNMr2W88WbHW1ba3VRSuX SkqOjFZbNlod2Gg1Z194vmnlEun1jg36Tl5YLrtcXJ1dtUG/YnvFFllRnIxr4XQrJlKrism226X5 J/ct2MR43S5dWbSpcUC1bTu0r2zPPNiwU2epg6T8iY1DsxEC796UpFYtWi4Pd1fXOp2OEkEAFXuD krXaHbktTjmct0q1YpVCW5awKH6aDWt381bK0xDE41VsTN5ltUUd5MCKpbxN7anb8goEilRKoLDK VqsA08Ato3MTyQ4ygmR829brguhmTaiXK9js/LKsWBT1ntGmdfs9m1vwdPdYs2TFMh1gWra8tGxf frFg1RrZNSw9kiAeTyuVyoIYzC3A/w+nWs0mx2veFXppRRioZr1inV7elpdprpKzL784ZrPLZbt4 8ZLtm5qyh09MiPH3VkNMFpSTpIHCWlpa0rs1Go01ZRV/h6V1Pw1lCfF3+bPdcfKBmU1/VvWAnY58 40cemNRmWlhY0OQxaQTzmMC7GVzrypWrNjk5IQHdzjiwb/PvlB10Y/mwB0q/2+3K3Ecg2dT87NDe uo2Pj/+jdHR2TE5O6u8TW7zn3Qj3Iw8dsA977HZMhvW4cuWK5n3Pnj07armcGWv7ula9sPxWI4Lo nuVbUeyKZQuZ2Ojzu4mp2s64O82wjREo2FBM/D+KKn4XP7vbgVl8v0zyvRycoARQ+UPwdGpqSrEH Dgn+IKT8Yf75/U7N0a/iXG9loCj27t1r8/PzduPGDR2k/NkZ3FJuS5/GWCBuhTzwDCMjI78063rP FZbI8fCpMoPgHj/Hr+bP3VpYXIsT7H4IEmLZICBYOTzTRifZdq+LwMWpGUhjTnIEmM1BX7do881n OBiYX57n6tWrskRnZmbuKJS7WWrxqzSQa6wr5p9Dg7ETSqvZbG5qzyCDcWCxpsgHMsHzMLJu4f06 7rnCutVgQylOAKq611vbaNsZalRxH/jf4ptfXpZ7irCMjo5IoWzHsuFai4tLmhvwQZzU/JtYUWBi UGB8jutHajrGWqvvFK/gdygtLDHcwDD//freGCAUVcznbqOYfxUGc8h6xeGMPEQ2bvvXzGnf3G5w H6wqwi/dbk+yiPJEDlBYHF48RyDZ78chD8zuoxHQ/lBa8e+tbhS3Prp3XMTdHigpzP/l5SW9y/Xr N/RenIhbtf5YrHa7pdMR4UKw9u3bu3Yq8jMGQoeJf7vrM5+gl7HCuB6Ki88T75qdnZMwcw2UItba yEhTChAL8X4/gX8ZRoRBmG+UBetxN4qi04nK5X88wupGUXF4xr4qFh0Qyv/zM37PdSKOfL8qrnui sEJxxCl9p8BgcD5niym3ssHdIrhZhPlhDIRgbo6SWZNiQBhQKlg4W32uuBbCjdChlLCKslYUAoYi 3Cxehs9xHTXVXFiQckWIYYqMmGK97sJL3Zj/vnjfCvIv22CNQmlFTHGjQDxrT4A8rOIY7Av+xJog X/x7/eEe8kAYhs+ivPhMt9vRgRTfRRawuDZCtt8vQ4p2t2/irsyiFoPJYuLWx7Bu9XCh2CLrtZXN cjdE9zvlCqJgsGSIFSB4CCd/8zsEcLOxOq4X3+V6ZHWwgLLf346QMb+sBYLqGwB3Enrb6hqoMOIt 3LPZ/LV1tZOD9eOQCaWlMp1qde1AiyQJrmMcIgx+zwHG9zm0WMM2XYLvoBz5GyXF/Tg8uT57CvlE nrIWdBgZ91sYYNcVFpON9mZyt6NE4vPh82+m6WJYD+s3ccRo3CTenVfnGcMaQhgRlFDScZqtrKzq M/wum6HheTeK3WHdLCy4QO/ZM74lZXenkZ0LlaGUPYDPPHFIILjj42PWbDaEOfr12NkRMUWsXJQJ f0e2nANDwNLJybV9MEyHF7+bnp5euwayFXskmyTJxnP5GUopSm7CKo8Qxf1QenOnsSu7Njtht9qE WxmhpCK2dSfog0oveg5CXT9YLJQGlgpKZCfNkajkQgAADwxJREFUX66LMEUsgD8IRTxrBDUBCaIY OOWIcfFzBCgsUE5NrsE78G9/Xg+ux4m6GwKVtWqZF+aZe/f7npH0bOSvXcKdHpHxRXayCQ5+jpyG DA0ypTTIDPLCH+RkdXVFh0rsjY1cw7hPrC/XRoHF/soqtl8phYWWDyW1kzifrLV1u2A8Ex8nTfaZ UBBhYeGW8W/M4Z0wexEcgteRpbsVANYhF87MiMAEjAOhjOeLZ2SgyLgmeKoIht4LMz0Cw1h2nPyj oxTTltayiLulNH+VRsgpigp5dEiKD37OfCMj7CV+v5jcw3DjQg48JuVF1+sP8/VrFPIVSiqgMVEN cb+5gLuusGIRdiNwtz6LeKtY2GDgvErrv+vWjZ9WEWPKliXcagOGtRYn2nrcC1bb3Ny8PoOLtz5A utEIyzNrkcY1w3XmetEld6etwc0Mj2+NJ1ejp5OdciROctyUXwfgdybWiSLKlszEQB6wgAI7NUgW FzIWCRNGJKjudIhzIGKh+SHpfSFDxu5nq2pXFdbdYqjuNDZ3XZSTk5XdCrDKgkfxZ2BjbvU+77// /lrAu9fr2/z8gjUa7p6hrDghuUaUOGw1oxnZnVBUm527sMh2Cz8jckcF94mP9NbAjkGJ++ux+REY uayFHJZNgEdVF9nrfQDzFiGGOOCKKbaV5aqK695phHUVsUoPWRQ/QB+Tlcf7UYHtmMLKumG7FdBm hMVxu3sApLvTpgrL6nbXilMJoUEZxeexzIJHyOMJVZucHFuLB2zlXbLKaisCEs+GwuW7Xm1/6xrB 7Q6uh3LmOZkHBHyr73mn8U8ZSR+VBawT85aVtQiCZy3pbIFyAEuRu0gi5RLmLhuLyuK41gfcs/OK cuQ6fNdrTZfXrLi4VgTu7xfM3Xqoxo5qlsBM7ZYAhva/U9Bd1e792+OwWJzY4OuvFWA7FvbatWsS GEpYQmD4d7iHLOzIyOimNnHMTfzJKt/tIN9XVx0sygD1zvWyNZo7PeKafsLnN6QjuZvr/lMet8Lg RWw1DsFsoigSMGGB5ZN88fNsHCqraG434npR/ExsMjBayE3g+DaDvr8Xh0wcyng2a5UaO3Xx7MSF 4tpps3KzleNh9t5u3M7XxzRHUYViIV6zHvPEHxY1FNVmlFWA/bIZme26z6FQQaGjQFlYfoYQQgGD VbSTMS+eEWFnbm+6wVCs1HbsHv8UxvoypkCSM7L7IeYxcG6sX8gEsoZsBeRgvQdQyMQ/Y4Q1lrWM 1gffI/QRVlnEzgLCEmt8J7nJxqnv9WGzoxZWvEAsWhZ8drcvlvWtN/PZ7dwvQJ0IEdkx6GlQVrfa lBFH2OzIKqkQ6u0qFXe9b7oDDh6kuNVBiJ0OwfHmB4KzdzPCsvRAMaezY83uF9fhwx6BWQtWDJRM JErAVgWsgDnj//kbKycbt2LEeiJzUVsbyqycMnkbgTu5z+1K0WJPBJwBheOYQDU61DMgN9kMcDxX 1lCI/+d392Lt18vvjgebsgC3sCg248ZtZmy2RGcrkIqIGcRpB6gTV2dqatImJiZ2LB6XFcidyMj4 9T5YmBwxkqhRQ/lmgbs7MfzZd+YQ+qcyYg3CUmHeA4uHxYL8R8InlFQkTBiRvWaEBR4yyfUiRFFL 2MFsYXp8L5RH1rO43cGNTPB83CNiz/w/MVmsMO4TlhTPkmUE2WzMNRse2q6srPeUdi06Hto8Jp+F uFsXhWttxhQNF20zkxQlM3HS4EqhqHYyzZs9pXYqWO0uAOBSJ2SLgWIK2pAg8ItatGwsYLuDdUSw I2D8a6V109IOKArzwpyjlMiysvlROAHE5TAJZcVnWa+w4vkc88uIEEuQ7vUycStGNuOIArqdhbXe PYzsZCSVQkazNYkBAeJPXF+MwJvEAsb1NqKU2uzIVrcI+mO7PEJ5xMmx3Q0bDxxAt9spPz6zmQlC ODCDES4Exv13sos7G3e723jVRiMs1myn3fUbqNkcUXB8YWF+zby/W2srhDAs0mx8JgpsfxWUWJZ6 JxubDEYERuCbWIsINcRahaUUaPNwH/l3KJ7sAZ1NOMVYP88onywTyJ3WIZRlWFFhzfH/WFrx7Cjd CNRz7VCgd7p+lqNto7jbnUboi1CioqCyezB4UF42Fmm7IxTV7eJZMeG3ii3FBPInTpeo6dsNLFPW Zdupjcz78eyR2bnVc8O6SjEzZT2Bpg5lnm2OuZURm4z7R7U/I9LjWaGMxMT9Wv2/3REB7nj3iEcx r0GGl7XeQ4llDy4UBZ+Pa0UgfH1cM7tGhdvMY1hvd0o2ZQfyyFoSpw2KmahfzFpcHOqsI3+zT8Ja jLm4HYQoYqvBCLGZ5FT2+QLFH/G1e6KwQjtvVDqwlaEHThN1O6R7vOj6+0QK2YnwnGaDTY8LuBtA yFCsO+leRiaQ9w+OqjsNNhY4MlDqnJwsPhtmq7xHWUEOa4BnYETA2UuecBn9vgj47Sh47+cR6xfv mw12Z60N5Ir3Zl3i82EloQTWl4khw1kiRcbdykdRkImtc+tH/CwMgMg+Z+eAfyM3DGQnSCgjcB+g 643kPMCufCfcu82MrAXHPkfOmct7orAi3hH+bPYk2SpYMltnd6uxXimGVYWy4qW5N7V5tyoU3akR grpT10eoYHng1EbJbiWG5KcprsfMGuA1cFubtXxj/qPSPwqxYzgmzd2HCOLGyZgti/plGCEzKKYo iQkLAbnh3ygofs9aoHyY0/VxpGx9YMhaHDI7CQ3IZ2JO2xkRp2L91r9H1uAIBcZg7bNg6nBrN1Jc W5HT9Z+PUAY0SPdMYbExYCaIRQqtudkXyWYc7kSClw0KBsAS1k8GlgX33e06uGzMbqcUVqShWTgE azvXDXckyOOgSM6yTN5qPWLuw+0IRbd+ZIXVFWHBLl++LDJA3NOsUN/PI6zxwLdFfCiUDYqbOQhu qbD8QzZvVRsYfGaRANloHrKWbJbIMpc+v9H3XM4+mCW83djocygFZCPbr3Cj7/D7yHxGbCrKh8JF jHkIpD+f3w4VdFx/LfRg92gwocEdHsHErUxutuznTi4WCoqegF4v6G4QDAkIym6WDWWfNzb4Tlpv ASjcqnm9fkQwFeHkmhcvXtRmxFLYyNrKzn9YZZtppsG1gYdwn8VFp+jFwmUd7rcGnetHxORCaXBQ uOK9WUnAewQbLJs4sGq84/rB77LcU7eyvCMAHn8746tbtYUUE9xo43Mt5pe5vl1APJsEyv6dhR9s Zo8E3oznjLZlgQULBRsWKv/eDCHArZ43i+28ZwprvYm3WRBo9vObZSol2ByBOk5ATvd7pax2i63R AZvLEgAU/04Esnk+LDU2Bcj+IBUMPFesWWSPwqXebJeWmyn0kp6Z65w7d27N/bjfrawgXQxoCHPA +/MzlHv0e2TDQi3krB1Oi71+RDzvdp1pwqoLaERYYXFQMW713fVg0luNO1l1WTd1MwZFsOoGmUCQ HzCCejuocLLZz624iB8A5No9GtkCT8ZWXaWtNJRgAiMtC5/6vdwc8Y47HRdDEC5fvqLNgdDv5PUR MOYJgbt06ZLmihgf85gVWjZuxKm2GntkXpzaZLBmaf8yjDhYA5uHCx3Ei4zARm3kAsYIJo/bhUA8 dLGqTUlscP2BsJn5KiTLbTOQg/Uja11tFTMV8assWDnkhncOKzQC8Ouzx7d7Vq4TjBXEDO+ZwgoX ZruWwVY2KAu+1U21E2MnS5HWD+aNUqGotN+NOBDCdeTIEVkLUOpEWRLWQRQ8R8nIVgbPiyJESA8e PHDPLN2dGIFPCvxaQDqymbQ7HabRrDRLRX2rQHNYE9tZ35FtxjWzI1y5rYxgyw08WnZEHDBGKMXg kY9kwa0gSnhJuOKh+O6J5MTpczdwhgjsMTaTDfkwlNVO462yI4T5xo3ZNZqQ3bgPz4+1hSXHiYar iHXAgUOh9VaLnXlmTl326Gaatt5vIzinAsDI3yigADPersUWI9zfrOUTHGzx70CRh3IMKMRWk0OD dV7MdkZYwluFR9zOwtwo+4pcoegOHjx4SxeV5whwKxatgLO2yyOL0L0b7R+WWZQu3E9B22xMbrc2 ZHSwOXbs6Frj1N0c0U0H1/r8+fN6twMHDmzZQg7eMFhKf9mUVTZ0EbEdNk/IM7J45cqVDTNq2RHu Y2TPAr8Ulhtzzfry77tptdXpYHlvvY3chzVu575Gc9fgYYt32nWFFTWEOyGsEQi836h541TbjQ3J tbF0WEDiKDtRD7jZ+3If3MLYpNuZ9wDnRtxno/jMvR5bSfjEWF9aEocU8cQIlt8pfhexxyjVCVeI eeFzAbnZ7igUCGxvPvu+8TUKeoYsYn83RriG2cNgfYUA8xuB+3uisGKxdqq+LGACH7bAZ0e2Q/VO KxIsk/Pn35OgE7/aDUbRGOGSZAOwcdBE5f523o9roGixKAi8nj171o4fP/6hlutkMXpbeacgyQvF HXO0mTUJDrEoio7GuiiGqAa42zmpVCp37RLyLhFu2E1LbaOyLWQwwhDBTBGMEvdEYYUW3YnMWTbl er+MmMSdLL2JwSKxeASpd5NFlBHxmAD3baR87+besQmw1tigBPRRYmFhxLXvNWXNne6FvAVzQsAK gqkzC/fYzAYPorwo68ke5NwjgNR3I9/V1HNwJ+pUd3NE3A6Lcv0IHGDgDaP5Rox7wtaQbfC4HaFc Dxy9H0YED3d6k7E4xI3YFDTK3GkIw0YjNsndFqdv5vDav3//GtvDtWvXVdPJQClHJjnapO32e99p RBkNSpZYFf9mkzFfwVYR2LjNYpbiYOAavCd/on1aFsO03TleWVm5ZYu5zQy+x/ejoetuDOSMRE42 xMC7M8dRRZHt8POB57N7MAKmn1U8WZdjM2N9AeqHPbIwjZ16JgT56tVrtrS0aPv27ds2o8JWRqzL vajzi5MVgY34T2yKwDKxqXEJgn98feOGezmylnOAROO52FQor+C34oBZb91kra7oIRCB5ADsRiA+ MFR3M/IZKpbtjmhoQqbY27rtrLXF9Vn34I9nBBNrME6Ey7yRe3vPagljZPmbthpDuF+U1W4+j3fy dZbQe2VhbDc+dTdKYKNYZGy4wAHdbTxmp0eW9yoOq1C0m4HZZAuD18e+diqsMNwBqyhqfXdL/taD xtdXvmyE54rx/wMMoAeYikud+gAAAABJRU5ErkJggg==