VBMP RCL

VBMP RCL vector digital data withheld The Virginia Geographic Information Network (VGIN) has coordinated the development of a consistent, seamless, statewide digital road centerline file with address, road name, and route number attribution, as part of the Virginia Base Mapping Program (VBMP). The Road Centerline Program (RCL) leverages the Commonwealth's investment in the VBMP digital orthophotography and is focused on creating a single statewide, consistent digital road file. The RCL data layer is a dynamic dataset supported and maintained by Virginia's Local Governments and VGIN. VBMP RCL is extracted and provided back to local governments and state agencies in many geographic data sets every quarter. Please note the following use restrictions: RCL Geometry is public domain; Minimal Attribution is public domain (RCL Public); Geocoding fields are restricted in use (RCL Master) and to acquire these, please contact VGIN. The ongoing goal of the VBMP is to establish a consistent, seamless base and foundation for local and state government mapping systems (GIS) that will help all increase efficiency and reduce redundant efforts in developing these systems. The seamless VBMP base is critical to the effective and efficient delivery of wireless E-911 and many other government services and is a critical component in the development of spatial data guidelines and standards, supporting the cost-effective sharing of GIS data and expertise across the Commonwealth. -83.830748 -75.245577 39.446860 36.426422 None All RCL Geometry is public domain; Minimal RCL Attribution (RCL Public Attribution) is public domain; RCL Geocoding based fields are restricted in use (RCL Master). ESRI ArcGIS 10.0.2.3200 Vector Simple FALSE 0 TRUE FALSE coordinate pair 0.0005555555555555553 0.0005555555555555553 Meter D North American 1983 GRS 1980 6378137.0 298.257222101 VA CENTERLINE Master Road Centerline (RCL) SDE Feature Class VGIN Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. Shape Geometry 0 0 0 STREET_NAM STREET_NAM String 100 0 0 COUNT_OBJE COUNT_OBJE Integer 4 0 0 ORIG_FID ORIG_FID Integer 4 0 0 ORIG_SEQ ORIG_SEQ Integer 4 0 0 length_ft length_ft Double 8 0 0 length_mil length_mil Double 8 0 0 health_sco health_sco Double 8 0 0 status status String 254 0 0 comment comment String 254 0 0 GlobalID GlobalID String 38 0 0 CreationDa CreationDa Date 8 0 0 Creator Creator String 128 0 0 EditDate EditDate Date 8 0 0 Editor Editor String 128 0 0 width_ft width_ft Integer 4 0 0 Shape_Leng Shape_Leng Double 8 0 0 STREET_NAME_FULL Full Street Name String 100 0 0 COUNT_OBJECTID Count of OBJECTIDs from dissolve Integer 4 0 0 length_miles Length (mi) Double 8 0 0 health_score Health Score Double 8 0 0 CreationDate CreationDate Date 8 0 0 Rank Rank String 255 0 0 CONST_DATE ConstructionDate String 255 0 0 Surface Surface String 255 0 0 NETWORK_NAME NetworkName String 255 0 0 Use Use String 255 0 0 NETWORK_ID NetworkID String 255 0 0 BranchID BranchID String 10 0 0 slabwidth_ft slabwidthft Integer 4 0 0 slablength_ft slablengthft Double 8 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. See access and use constraints information. 20111011 FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 Covington, VA segments <div style='text-align:Left;'><div><div> </div></div></div> VBMP RCL vector digital data 20140306 <DIV STYLE="text-align:Left;"><DIV><DIV>As of January 1, 2012, RCL geometry and attributes are public domain.APPENDIX B Virginia Geographic Information Network (VGIN) Virginia Base Mapping Program (VBMP) Geospatial Data Sharing VGIN was established in 1997 in Virginia Code to "foster the creative utilization of geographic information and oversee the development of a catalog of GIS data available in the Commonwealth". One of the main core functions of VGIN according to the code is: * Provide services, geographic data products, and access to the repository Source: Virginia Code § 2.2-2026 and § 2.2-2027 Commonwealth wide GIS data initiatives require the active participation by local government entities. Many services and data products are readily available through the Virginia GIS clearinghouse and could not function without local government geospatial data input. These data sets are the source for data sharing between Local, State, Federal, and commercial geospatial entities through VGIN. The following programs or initiatives require the active participation by Virginia Local governments. VBMP Road Centerlines (RCL): The Road Centerline (RCL) dataset provides a consistent and seamless statewide digital dataset of all roads in the Commonwealth of Virginia. The purpose for the continued development of this dataset is to support the base mapping needs of state, regional, and local governments as well as to provide the most accurate representation of centerlines within the Commonwealth to as commercial entities and the general public. The purpose is to achieve a singular, consistent and maintainable base map dataset usable by all entities. The high quality of this product is available for use within a geographic information system (GIS) or a computer aided dispatch (CAD) / 911 system. Address Point data is used to validate the RCL in locations where the RCL data set differs in geometry or attribution than local government centerline data. It is also used in the statewide geocoding web service as a separate locator to provide the end user a more accurate geocoded location. Administrative Boundaries: VGIN is leading an effort to improve Administrative Boundary datasets statewide through its Administrative Boundary Workgroup process. The hope is for the production and maintenance of an improved statewide administrative boundary dataset to be used for GIS purposes. There is also the possibility of streamlining response for statewide boundary updates to US Census. Boundary products that can be provided by localities through the RCL data submission process will help us initially to plan for and produce the best initial statewide dataset as possible and VGIN hopes updated boundary data through the submission process can feed maintenance and updates to a new statewide boundary product as changes warrant. Cadastral: Cadastral data (land ownership and tax parcels) comprise one of seven framework data layers identified in the National Spatial Data Infrastructurei. Parcel data is the responsibility of local governmental jurisdictions in the Commonwealth of Virginia. Over the past several decades local governments have been transitioning from paper maps to digital systems for maintaining parcel data. Most follow similar, but not identical systems, for mapping and identifying tax parcels. The framework initiative action team will work to improve the standardization and the quality of the cadastral framework data by adopting standards and best practices, and promoting cooperation, collaboration, and data sharing. The team will also assess the potential for compiling a statewide database of parcel data, similar to the road centerline program. VGIN would like to formally request the GIS data below from your locality. Based on your locality’s data update cycle, you can provide GIS data updates to VGIN Monthly, Quarterly, Bi-Annually, or Annually. Please indicate the GIS data layers you are sharing with the Commonwealth of Virginia, file format, and data transfer method. Jurisdiction: Jurisdiction Name Submitted Geospatial Data Layers: Jurisdiction Road Centerlines (RCL) Jurisdiction Address Points Jurisdiction Building Footprints Jurisdiction Cadastral data (Parcels) Jurisdiction Boundary Jurisdiction Town Boundaries (If applicable) Jurisdiction Hydrography Submitted Data Format: ESRI Shapefile ESRI Geodatabase (Personal or File) Submitted Delivery method: VGIN FTP Virginia Geospatial Clearinghouse Locality FTP Server i Executive Order 12906, published in the April 13, 1994, edition of the Federal Register, Volume 59, Number 71, pp. 17671-17674; and amended by Executive Order 13286, published in the March 5, 2003, edition of the Federal Register, Volume 68, Number 43, pp. 10619-10633. Framework layers are detailed in OMB Circular A-16. http://www.whitehouse.gov/omb/circulars/a016/a016_rev.html#4#4 </DIV></DIV></DIV> Dan Widner VITA Coordinator, Virginia Geographic Information Network 2016-06-30T00:00:00 Esri ArcGIS 12.9.0.32739 1 -79.251999 -79.244307 36.777541 36.772678 002 APPENDIX B Virginia Geographic Information Network (VGIN) Virginia Base Mapping Program (VBMP) Geospatial Data Sharing VGIN was established in 1997 in Virginia Code to "foster the creative utilization of geographic information and oversee the development of a catalog of GIS data available in the Commonwealth". One of the main core functions of VGIN according to the code is: * Provide services, geographic data products, and access to the repository Source: Virginia Code § 2.2-2026 and § 2.2-2027 Commonwealth wide GIS data initiatives require the active participation by local government entities. Many services and data products are readily available through the Virginia GIS clearinghouse and could not function without local government geospatial data input. These data sets are the source for data sharing between Local, State, Federal, and commercial geospatial entities through VGIN. The following programs or initiatives require the active participation by Virginia Local governments. VBMP Road Centerlines (RCL): The Road Centerline (RCL) dataset provides a consistent and seamless statewide digital dataset of all roads in the Commonwealth of Virginia. The purpose for the continued development of this dataset is to support the base mapping needs of state, regional, and local governments as well as to provide the most accurate representation of centerlines within the Commonwealth to as commercial entities and the general public. The purpose is to achieve a singular, consistent and maintainable base map dataset usable by all entities. The high quality of this product is available for use within a geographic information system (GIS) or a computer aided dispatch (CAD) / 911 system. Address Point data is used to validate the RCL in locations where the RCL data set differs in geometry or attribution than local government centerline data. It is also used in the statewide geocoding web service as a separate locator to provide the end user a more accurate geocoded location. Administrative Boundaries: VGIN is leading an effort to improve Administrative Boundary datasets statewide through its Administrative Boundary Workgroup process. The hope is for the production and maintenance of an improved statewide administrative boundary dataset to be used for GIS purposes. There is also the possibility of streamlining response for statewide boundary updates to US Census. Boundary products that can be provided by localities through the RCL data submission process will help us initially to plan for and produce the best initial statewide dataset as possible and VGIN hopes updated boundary data through the submission process can feed maintenance and updates to a new statewide boundary product as changes warrant. Cadastral: Cadastral data (land ownership and tax parcels) comprise one of seven framework data layers identified in the National Spatial Data Infrastructurei. Parcel data is the responsibility of local governmental jurisdictions in the Commonwealth of Virginia. Over the past several decades local governments have been transitioning from paper maps to digital systems for maintaining parcel data. Most follow similar, but not identical systems, for mapping and identifying tax parcels. The framework initiative action team will work to improve the standardization and the quality of the cadastral framework data by adopting standards and best practices, and promoting cooperation, collaboration, and data sharing. The team will also assess the potential for compiling a statewide database of parcel data, similar to the road centerline program. VGIN would like to formally request the GIS data below from your locality. Based on your locality’s data update cycle, you can provide GIS data updates to VGIN Monthly, Quarterly, Bi-Annually, or Annually. Please indicate the GIS data layers you are sharing with the Commonwealth of Virginia, file format, and data transfer method. Jurisdiction: Jurisdiction Name Submitted Geospatial Data Layers: Jurisdiction Road Centerlines (RCL) Jurisdiction Address Points Jurisdiction Building Footprints Jurisdiction Cadastral data (Parcels) Jurisdiction Boundary Jurisdiction Town Boundaries (If applicable) Jurisdiction Hydrography Submitted Data Format: ESRI Shapefile ESRI Geodatabase (Personal or File) Submitted Delivery method: VGIN FTP Virginia Geospatial Clearinghouse Locality FTP Server i Executive Order 12906, published in the April 13, 1994, edition of the Federal Register, Volume 59, Number 71, pp. 17671-17674; and amended by Executive Order 13286, published in the March 5, 2003, edition of the Federal Register, Volume 68, Number 43, pp. 10619-10633. Framework layers are detailed in OMB Circular A-16. http://www.whitehouse.gov/omb/circulars/a016/a016_rev.html#4#4 Covington Segements FGDC 1.0 Segments 002 22142.585000 22827.814400 85797.959400 86335.805600 1 0.000 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_Virginia_South_FIPS_4502_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.9.0'><WKT>PROJCS["NAD_1983_StatePlane_Virginia_South_FIPS_4502_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",11482916.66666666],PARAMETER["False_Northing",3280833.333333333],PARAMETER["Central_Meridian",-78.5],PARAMETER["Standard_Parallel_1",36.76666666666667],PARAMETER["Standard_Parallel_2",37.96666666666667],PARAMETER["Latitude_Of_Origin",36.33333333333334],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2284]]</WKT><XOrigin>-111140600</XOrigin><YOrigin>-91532100</YOrigin><XYScale>3048.0060960121918</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102747</WKID><LatestWKID>2284</LatestWKID></ProjectedCoordinateSystem> 20220311 11363900 20220311 11363900 FALSE 150000000 5000 20220225 10293200 FGDC CSDGM Metadata Dan Widner VITA Coordinator, Virginia Geographic Information Network 2016-06-30T00:00:00 Dan Widner VITA Coordinator, Virginia Geographic Information Network dan.widner@vita.virginia.gov The descriptions used for lineage are to represent basic functions in maintenance and preparation of data. Database is housed in a SQL server in conjunction with SDE. All deltas, QC, and geoprocessing are done in separate file and personal database environments and changes are applied to RCL master database as needed. Miscellaneous data processing: - SPEED - ONE_WAY - GEOMETRY_SOURCE - EDIT_TYPE ONE_WAY field populated for the purpose of providing direction of travel for each segment. This field is only provided as a reference and should be reviewed by locality for accuracy. CODED VALUES: BOTH Bi-Directionality, FT FromTO: With Segment Directionality, TF TOFrom: Against Segment Directionality 2016-01-05T00:00:00 RCL post process geoprocessing model was run for ZIP_LEFT and ZIP_RIGHT. Fields were calculated by using VGIN's custom zip code polygon boundary and using select by location using the centroid of the line segment within the polygon boundary. 2016-01-05T00:00:00 VGIN RCL Team VGIN GEO_ID field populated for the purpose of a providing a unique GEOID for each segment. Calculation is based upon the concatenation of a rounded X and Y Lambert coordinate, providing negative and positive numerical association. This field is maintained with post process scripting in a related table creates new GEOIDs for null and duplicate records based on edit code and date. 2016-01-05T00:00:00 RCL_ID values that were 0 or duplicates were calculated based on a post processing script. This processing routine is run as needed. FIPS_SEGMENT values that were NULL or miscalculated during editing process were assigned FIPS codes from the Provider Management Boundary (PMB) using a geoprocessing model. The location of the line segment centroid determined the FIPS assignment. 2016-01-05T00:00:00 VDOT attribute table was received 2012/08/01 – Data Process Completed – 2012/08/01 and updated from VDOT in August of 2012. No further update has been recieved. VDOT attribute table was received 2013/08/01 - VGIN RCL Team has looked at the received attribute table. You will be seeing changes in this release. VDOT attribute table was received 2013/12/01 - VGIN RCL Team has looked at the received attribute table. You will be seeing changes in this release. VDOT attribute table was received 2014/01/01 - VGIN RCL Team has looked at the received attribute table. You will be seeing changes in this release. 2016-01-05T00:00:00 LocalityName RCL_RECIEVED RCL_PROCESSED Accomack County 20160217 2/17/2016 Albemarle County 20160207 2/10/2016 Alleghany County 20151016 12/8/2015 Amelia County 20151106 11/23/2015 Amherst County 20160301 3/3/2016 Appomattox County 20160104 2/17/2016 Arlington County 20160212 2/26/2016 Augusta County 20160210 2/23/2016 Bath County 20160104 3/17/2016 Bedford County 20160308 3/11/2016 Bland County 20160122 3/18/2016 Botetourt County 20160210 2/17/2016 Brunswick County 20160216 2/18/2016 Buchanan County 20160223 3/18/2016 Buckingham County 20151111 11/20/2015 Campbell County 20151015 2/19/2016 Caroline County 20160128 2/22/2016 Carroll County 20160127 2/25/2016 Charles City County 20151113 3/8/2016 Charlotte County 20160209 2/22/2016 Chesterfield County 20160301 2/25/2016 Clarke County 20160127 2/29/2016 Craig County 20160217 3/17/2016 Culpeper County 20160219 3/8/2016 Cumberland County 20151106 12/14/2015 Dickenson County 20160131 3/18/2016 Dinwiddie County 20160128 2/5/2016 Essex County 20160104 12/14/2015 Fairfax County 20160216 2/29/2016 Fauquier County 20160205 3/10/2016 Floyd County 20160209 3/10/2016 Fluvanna County 20151106 11/24/2015 Franklin County 20160211 2/26/2016 Frederick County 20160205 2/9/2016 Giles County 20160127 3/15/2016 Gloucester County 20151120 12/15/2015 Goochland County 20151104 2/9/2016 Grayson County 20160127 2/25/2016 Greene County 20151022 11/3/2015 Greensville County 20160128 2/5/2016 Halifax County 20160211 2/22/2016 Hanover County 20151211 12/23/2015 Henrico County 20160102 12/29/2015 Henry County 20160127 2/5/2016 Highland County 20160104 3/16/2016 Isle of Wight County 20151015 12/22/2015 James City County 20151104 3/14/2016 King and Queen County 20150929 12/17/2015 King George County 20151022 9/25/2015 King William County 20151211 12/15/2015 Lancaster County 20151111 12/17/2015 Lee County 20160302 3/16/2016 Loudoun County 20160216 2/26/2016 Louisa County 20151113 12/22/2015 Lunenburg County 20160211 2/22/2016 Madison County 20151109 3/14/2016 Mathews County 20160202 2/5/2016 Mecklenburg County 20160211 2/24/2016 Middlesex County 20150520 9/25/2015 Montgomery County 20160223 3/4/2016 Nelson County 20160308 3/9/2016 New Kent County 20150922 3/9/2016 Northampton County 20160217 12/29/2015 Northumberland County 20150424 6/15/2015 Nottoway County 20160217 2/22/2016 Orange County 20160217 3/17/2016 Page County 20151104 3/15/2016 Patrick County 20160209 2/22/2016 Pittsylvania County 20160128 2/9/2016 Powhatan County 20160127 2/10/2016 Prince Edward County 20160104 1/4/2016 Prince George County 20151111 3/14/2016 Prince William County 20160212 2/25/2016 Pulaski County 20160128 3/2/2016 Rappahannock County 20151023 11/10/2015 Richmond County 20151217 12/29/2015 Roanoke County 20160205 2/11/2016 Rockbridge County 20160308 3/9/2016 Rockingham County 20160208 2/16/2016 Russell County 20160205 3/18/2016 Scott County 20160309 3/11/2016 Shenandoah County 20160224 3/7/2016 Smyth County 20160121 3/15/2016 Southampton County 20160128 2/10/2016 Spotsylvania County 20160128 2/22/2016 Stafford County 20160203 2/8/2016 Surry County 20160217 2/3/2016 Sussex County 20160204 2/16/2016 Tazewell County 20160307 3/18/2016 Warren County 20160119 3/16/2016 Washington County 20160303 3/11/2016 Westmoreland County 20160217 12/18/2015 Wise County 20160303 3/17/2016 Wythe County 20160105 3/17/2016 York County 20151014 12/24/2015 Farmville Town 20151105 11/20/2015 Alexandria city 20160216 2/26/2016 Bristol city 20160307 3/18/2016 Buena Vista city 20160308 3/9/2016 Charlottesville city 20160209 2/10/2016 Chesapeake city 20151104 12/9/2015 Colonial Heights city 20151013 2/2/2016 Covington city 20160208 3/18/2016 Danville city 20160128 2/5/2016 Emporia city 20160128 2/5/2016 Fairfax city 20160216 2/29/2016 Falls Church city 20150810 8/18/2015 Franklin city 20160128 2/22/2016 Fredericksburg city 20160205 3/14/2016 Galax city 20160127 2/25/2016 Hampton city 20160212 3/1/2016 Harrisonburg city 20160105 2/16/2016 Hopewell city 20151202 1/12/2016 Lexington city 20160308 3/9/2016 Lynchburg city 20160209 2/9/2016 Manassas city 20160212 2/25/2016 Manassas Park city 20160212 2/25/2016 Martinsville city 20160127 2/5/2016 Newport News city 20151113 3/11/2016 Norfolk city 20151104 3/7/2016 Norton city 20160303 3/17/2016 Petersburg city 20151002 10/5/2015 Poquoson city 20151022 3/8/2016 Portsmouth city 20150924 9/28/2015 Radford city 20160224 3/16/2016 Richmond city 20160128 9/24/2015 Roanoke city 20160301 3/4/2016 Salem city 20160202 3/15/2016 Staunton city 20160205 2/29/2016 Suffolk city 20160216 3/2/2016 Virginia Beach city 20151027 9/25/2015 Waynesboro city 20160223 2/23/2016 Williamsburg city 20151019 9/21/2015 Winchester city 20160310 3/10/2016 West Point town 20110721 12/16/2015 *FOR FULL DELTA PROCESSING DETAILS, PLEASE CONTACT VGIN 2016-03-21T00:00:00 File Geodatabase Feature Class ArcGIS 10.1 0.000 dataset EPSG 5.3(9.0.0) 0 20220311 /9j/4AAQSkZJRgABAQEASABIAAD/4RMqRXhpZgAATU0AKgAAAAgABwESAAMAAAABAAEAAAEaAAUA AAABAAAAYgEbAAUAAAABAAAAagEoAAMAAAABAAIAAAExAAIAAAAeAAAAcgEyAAIAAAAUAAAAkIdp AAQAAAABAAAApAAAANAACvyAAAAnEAAK/IAAACcQQWRvYmUgUGhvdG9zaG9wIENTNiAoV2luZG93 cykAMjAyMDowNjoyOSAxOTo1Nzo0OAAAA6ABAAMAAAABAAEAAKACAAQAAAABAAABK6ADAAQAAAAB AAAAyAAAAAAAAAAGAQMAAwAAAAEABgAAARoABQAAAAEAAAEeARsABQAAAAEAAAEmASgAAwAAAAEA AgAAAgEABAAAAAEAAAEuAgIABAAAAAEAABHzAAAAAAAAAEgAAAABAAAASAAAAAH/2P/tAAxBZG9i ZV9DTQAB/+4ADkFkb2JlAGSAAAAAAf/bAIQADAgICAkIDAkJDBELCgsRFQ8MDA8VGBMTFRMTGBEM DAwMDAwRDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAENCwsNDg0QDg4QFA4ODhQUDg4ODhQR DAwMDAwREQwMDAwMDBEMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwM/8AAEQgAawCgAwEiAAIR AQMRAf/dAAQACv/EAT8AAAEFAQEBAQEBAAAAAAAAAAMAAQIEBQYHCAkKCwEAAQUBAQEBAQEAAAAA AAAAAQACAwQFBgcICQoLEAABBAEDAgQCBQcGCAUDDDMBAAIRAwQhEjEFQVFhEyJxgTIGFJGhsUIj JBVSwWIzNHKC0UMHJZJT8OHxY3M1FqKygyZEk1RkRcKjdDYX0lXiZfKzhMPTdePzRieUpIW0lcTU 5PSltcXV5fVWZnaGlqa2xtbm9jdHV2d3h5ent8fX5/cRAAICAQIEBAMEBQYHBwYFNQEAAhEDITES BEFRYXEiEwUygZEUobFCI8FS0fAzJGLhcoKSQ1MVY3M08SUGFqKygwcmNcLSRJNUoxdkRVU2dGXi 8rOEw9N14/NGlKSFtJXE1OT0pbXF1eX1VmZ2hpamtsbW5vYnN0dXZ3eHl6e3x//aAAwDAQACEQMR AD8ABuS3IW5LctBzKS7ktyFuT7klUk3JbkPcluRVSTcluQ9yW5BVJNyfchbktySqS7ktyFuS3JKp LuS3IW5Lckqku5LchbktySqS7ktyFuS3JKpLuS3IW5Lckqn/0K/TaKcvPpxbrHVMvdsFjQCQ4g+n 9L95/sXQ/wDM/F/7l3f5jFyIsewiysw9hDmHwc07m/8ASXpNGQzKx6sqv6GQxtjf7Q3R/Zd7VdkS Ni0YgHcPE9Z6d+zM0Y7Xmyt1bbGPcACZlrx7fb7XtVHcum+uePuxMbMA1psNTz/JsG5n/glf/TXK bkYmwtkKLZxan5OVTjM+lfY2sHw3HV39lvuXSn6n4k6Zl0dvYxZn1Qx/W6o7IIluJWXD+vZ+ir/6 HqrsgJIHE902Ujei6MRWrw/W+n4/TMlmNVc+5xr9SwvDRtkn02+z+S3cl0/onUuoNFtTBVQeL7SW tP8AxbYdZb/YZsWt0vp1fV86/rua3fj22H7FQ76LmMPpV3Wt/Oqa2v8ARV/4R/6RdF7nHxJSMyNO qhAHXo8/T9T6AP1jLsee4qY1g++z1XIv/NHpv+myB/aZ/wCk0TM+tPR8V5ra92VY3QigBzQfD1nl lX/bfqKoPrrhTriXgeIcw/3JXNNQWt+p06YuYdx4bczT/tyo/wDotZ3Rej1dTtyq7bnV/ZtoDqgH B0l7HfT/ADf0fsWy762dKfiXvpe+vIZU81VWtgufH6NrHs9Sv6X8pZv1OuZR9tLpMNpAA5Jm1EcV Hv0QeAUenVPk/VnDx4nKud7XOI2s0ge1Cwvq/h39Mxs67KtYchgcWMa1wDjy1s+72wtPItfaLHu5 LHQPAQfaFU6QZ6Th+HpNMKTgOlnza5y/MQNLqLL/AJoYz6y6nMsLnNJr3NaGl35m+Pdt3LmXb2Oc yxpY9hLXtPIc07XNP9Vy7arNtrgP97AIg8geTli/W7p/p3M6nUP0eRDMjysj9FZ/16sbf+Mr/wCE TdYmj12ZYyjMXHcfMHBc/a0u8ASupZ9UcVzGP+13De1ro2M/OAcuQsd+jd8D+RemVfzFX/Fs/wCp amzJFUuhEG7eJ610+vpmY3Grsda11bbNzwAZcXN2+3+oqG5a31wMdXZ/4XZ/1VixNycDoEEal//R xdy7T6m5nr9KfjOPvw7C0D/g7P0tf/T9Zi4fctv6nZvodaFDjDM1jqv7bf01P/Uvr/64rstQ0Y6F 6/rGIc3pWXjAS91ZdX/Xr/TV/wDSYvOWv3AEcESvUmna4O8DK8z6viOwuqZeFWP5u0ikeLbP0mP/ ANGxiED0TIPX/U7F9LpBySPdmWueD/Ir/Q1/9L1XLQ6xa9nT31VO235jmYlLu4defSc8f8VT6tv9 hWMbGbh4tOIz6OPW2r5tG1x/tPWP1PMD/rR0bpwMilzsmwfy3MsbR/m1se//AK4m7m12wp22V1Us ZTS3ZTU0V1NHZjRsY3/NC5v65dVspZX0uhxab2eplOGh9MnbXR/Vt2vfb/IXSrgfrc93/OHJB7Mp Dfh6bUY7ols5m6ONAlvHiENrvez+s0f9IL0LqOH0xtzqqsTHbtcd+2pnM6NnapBqQGOREYmReB3j xW39VzL8v+rX+WxbH2HB/wC4tP8A223/AMiq2HXXX1jqFdTG1sFWOQ1gDRqHz7Wp4jRDDLKJRkKr S/8AnN6z+as/qO/6kqr0bXpGF/xLVas/mrP6j/8AqSqnRP8AkbB/4hv8U7r9GL9E+Y/7pPVlU09a xsfIMV5NL9kmGi2t29k/8ZWXs/7bWxk41Gbi2Yt+tOQza49xPuZY3+XW7bYxcb9anPZbhPYdr2h5 Y4chzXVua7/OXQdO6q/KwKsuqCxwiys6muwGLGbv3N382opxMpaFsY5iEASNDdkPEZ1F+HbkYmQI uoLmPjgwPa9v8ixv6Ri9Mp/mKf8Ai2f9S1cp9dcWu/GZ1Wj6bG+hlCPzT/R7f+t2H0P+uVLp6bmt wabnSW+jW4xzqxiZKzQrVmiRRIOnd5L65mOsV/8Ahav/AKq1YW5bH1ys3dXqdBbOLWYPP0rVhbk4 bIOur//S5zcpVZFmPbXkVGLaHttZ/WYd7f8AqUHcluV5pU+uV3V5FVeRVrVexttf9V4D2/8AVLnu q9M9b65dKu2zXbWbbfCcOX/9/wAdF+pOb9p6G2hxmzBsdSf6jv09H/Re+v8A62tt9dRtZkPAD6Wv ax5MQLNnq/53pMUexXJANztTE8n+K85b1ptn1oZ1d5ik5TXDypn7Oz/2X9y6j6x9afjdIyXUjY61 voVuP0pt9jiP3dtXqOXnum3bHtiI8k4RI3WiYlrHUAvsDmlri08gwuO+veA9l9HVGCarGjHvP7r2 yaHO/wCNrd6f/Wlc+rv1kfm4dePYQcvEYG3A/StY32V3j+ztbd/wv/GLQybzlUuovYx1Ngh9ZEhw P5rpRjjlvosnmhGwbsPnO4ggjkGR8QtOnr/WLMipr8pxD7GBw2s1DnNDvzPNXcv6oy4uwcgNaeKr wTH9W5nud/brQcf6q9RbfW+y6hrWPa87S9xhrg6ANjPBPqQWnJikNSPqHqXCHEDsSs/G/wCXeo/8 Ti/ksWg4y4nxMrOxf+Xupf8AE4v5LFIdx5taO0v7v/dRb1n81Z/Uf/1LlU6F/wAiYH/EN/irdv8A M2/8W/8A6lyp9A/5C6f/AOF2fxS6/RX6B8x/3Tl/W4w7C+Fv5a0H6r9Tdi5v2VzoqytGzwLfzAZ/ Nvb+i/7aRPriYfhfC38ta53cexIPYjkHxCjkakWzjjxYgPP/AKT6i3Gw8zHycN8irLrNb2HsDpvb /Ud7v7Chh1Xuw8PFyPa7GorbkN8bGD0v81zmb0H6tdVb1Tp7bXD9YqJZkAcB8aub+429v6VajGFr nkmQ5278ITCakT9lrowuAie/qr+X7zxH15MdbrH/AHVr/wCqtXP7lu/Xwx1yv/wrX/1Vq53ckNgy Eav/0+U3JShyluV1qU7/ANUuuUdIzbzlkjFyatri0F0WMO6l21s/mvtYugu+uPRrpBySK5kM9J/b z2LhsTFyMy40YzQ+0VvtDCYLm1NNtja/37fTa5za/wA9Fb03Mdhty/bssrZbTUC51tjLLThVmuqt j/p3N9nqur9Vn8z6iQkAb0vxRLHxirkB/VdT6y9ZxuoHHpw3mymrdZY4tLZe72NG14b9Cv8A8+LE lEr6f1O122rCybHFgs2sotcdjiW127W17vSscx7a7PoPUndNzvUqqppflWXVV2huNXbYW+qH2Mpt aKtzb2sqs3s+h7P5x6RlZtUcfDEAWjqutptbdS91dtZlljDDgfJdFhfXIhoZ1GjeR/h6IBP9eh21 v/bb/wDra5+vBy7asezHY7IdlOtbVRSx9ls07fV3VMr/AJf+D9T/AIX0k2LhZmXmDBx6nOyiXA1O /RluwF1vrets9H0tv6T1UhKtiqWKMvmFvaV/WboVgn7V6Z8LK3tP/Uuapu+sXQgJ+2sPkGvJ/Bi4 23pmTX9oNduPlsxK2XW2Yl7b2bbH/Zq2sdX9K71vb6KbqPT8nptjasl9D7SXNfVj3MvfW9hDbKMh lO70b2udt9P/ADE73fJiPKR/rPU3fW7pFY/RNuyD22s2D/PuLf8AqFT6b9Y8E9Rzc3M/VRkMpZWw B1v81vaZcxn8pZTvq91Jl7cax+M3ILbXvoF7H2VejW7JsryqqPUfTZ6Vfs/we/8Awiosx8t7KHtx ri3L0xT6T4tP7uN7f1h3/E70PcJ1sLvu0QCKOul9Xs7PrN0N1b2jIdLmOA/RWclpA/MVbo/1g6Ri 9Jw8a+8suppayxoreYcO25rdrly32TP9Z+OMTIdkVkNfQKbDY1xBexj6tnqMc9jHPZvRLOnZzbnV VVPyi1rXl+NXZayH1tyfpCpvuZVZ+k9v/QR9w30R92jVerd1PrN1TB6g7FOHYbBULBZLXNjcWbfp hv7qxdyNidOz8w0uox7TRkWMpZlGt/oBz3tx2l+S1jqmsbbY1r0snp2fi5pwbce05Be5lTWVvPq7 HOrNmINgfk1O2eyypiaZWWSOPhiALoN36v8AWD0vOLnuLcXIGzI2zLY91V7Wt/Oqd/4FZYuxo+un 1eDCLst26Tr6NmoPwYvPBj5ZeWCi7e20UFnpv3C4/Rxi3bu+0uj+j/zyRxssUjIOPcKHP9Nt3pP9 M2Ts9Flu303Xbxs9L+c3pEiqVweri12rwdn629Uwep9WZk4NhtpGOysuLXM9zXWOc3bYGu/PWLuT XVX49rqciqyi5kb6rWOreJG5u6u0Ne3c1Q3IJp//1ONlKVCUpVxrU2+mZ9vTupYvUKp34trbYBjc 0GLa/wDrtLrKv7a3KvrXhVZOVsov+wk9MqwKSWl1eP025mQ6u6X7fVva21zNm/8ATW/9cXMSlKBi DuuBI2e26H1qvKt6nnZGaKbbuoevhvyH1OsxGFmRSzLdVlZWI26mmjM+z100/bqq/Qs/Ulm1/Wqm miuqgZDXV1dKpL2EM3N6c612T+eLGsyfUZ9nY7/r/pLmtDzrHCeUOAJ4y9NZ9Zek327r8e8tFnVL K3bWP9N3ULa7saz7Mb6qsr0a2W1ZOLfZ9n/Sf4dByfrJjZP1lzuqvot+xdUodiZVALBeKraKcS91 L/dT6zLKPUq/Ms/4Nc/KUpcI/YjiLv5/Xel3syqqabtmTg0YbrPSox3PsryPtd176cR3oU7qP0NO z1PexD631zGzMjByMIX25OEdzs3ObU2+3Y9j8OnI+xy29uKyn+k2u9a71LFiSlKIiEWXet6t0P8A at3VMavNbbmtyzk1WeiW1vy6rK9uNZW5tlrGZdzn+pb6f6v/AIL1Vbd9a+nXHDdkY1myt1D8rFrr razdj0PxabqMpl9WTd6dnpW14zvsv6H1se25ctKUocITZem6h9bK78DOxsNt+PflYWFhV3t2Ux9k sufkOezGs/Q1ZVF3ptpp/wCEp/mlL/ndjtyGW0tyamDPwcu0MLWl1OJjMw8jHOy0b/Vur31Vv/Q2 M/nfTXLylKXBFXEXtR1bExuh4N32qsmk4dt1TDS9+QzHy351PSxX9p9fHtw68j9I93Tqv0lP6bNt qVE/W2iy203tyXNvd1NhslrraaeoGl+O7D32bftGL9n2Pq/RVbLH+lYuX0me/inlLgCuMvUt+tPT LMs25VOW6qjMw8zFc11brrDh1fY/8oPsc1nq3t/T2Op9T/Qf8Ko4n1rw8UYFrqLsvIwcgWMFrWVt ZT+n347bK7X/AGzZ9o9TB+1Y7LMO/wBX9ZXMSlKXCFcRdLrXUac/IodQXmnGobRX6lVdJADrLNja sey9mxvqf6X99UJUJSlOC1//1eHlKVFJXGuylKVFJJTKUpUUklMpSlRSSUylKVFJJTKUpUUklMpS lRSSUylKVFJJTKUpUUklMpSlRSSU/wD/2QD/7Ru0UGhvdG9zaG9wIDMuMAA4QklNBAQAAAAAAEcc AVoAAxslRxwBWgADGyVHHAFaAAMbJUccAVoAAxslRxwBWgADGyVHHAFaAAMbJUccAVoAAxslRxwB WgADGyVHHAIAAAIAAAA4QklNBCUAAAAAABDmfuyaOif3jFfn/6DyF7poOEJJTQQ6AAAAAADlAAAA EAAAAAEAAAAAAAtwcmludE91dHB1dAAAAAUAAAAAUHN0U2Jvb2wBAAAAAEludGVlbnVtAAAAAElu dGUAAAAAQ2xybQAAAA9wcmludFNpeHRlZW5CaXRib29sAAAAAAtwcmludGVyTmFtZVRFWFQAAAAB AAAAAAAPcHJpbnRQcm9vZlNldHVwT2JqYwAAAAwAUAByAG8AbwBmACAAUwBlAHQAdQBwAAAAAAAK cHJvb2ZTZXR1cAAAAAEAAAAAQmx0bmVudW0AAAAMYnVpbHRpblByb29mAAAACXByb29mQ01ZSwA4 QklNBDsAAAAAAi0AAAAQAAAAAQAAAAAAEnByaW50T3V0cHV0T3B0aW9ucwAAABcAAAAAQ3B0bmJv b2wAAAAAAENsYnJib29sAAAAAABSZ3NNYm9vbAAAAAAAQ3JuQ2Jvb2wAAAAAAENudENib29sAAAA AABMYmxzYm9vbAAAAAAATmd0dmJvb2wAAAAAAEVtbERib29sAAAAAABJbnRyYm9vbAAAAAAAQmNr Z09iamMAAAABAAAAAAAAUkdCQwAAAAMAAAAAUmQgIGRvdWJAb+AAAAAAAAAAAABHcm4gZG91YkBv 4AAAAAAAAAAAAEJsICBkb3ViQG/gAAAAAAAAAAAAQnJkVFVudEYjUmx0AAAAAAAAAAAAAAAAQmxk IFVudEYjUmx0AAAAAAAAAAAAAAAAUnNsdFVudEYjUHhsQFIAAAAAAAAAAAAKdmVjdG9yRGF0YWJv b2wBAAAAAFBnUHNlbnVtAAAAAFBnUHMAAAAAUGdQQwAAAABMZWZ0VW50RiNSbHQAAAAAAAAAAAAA AABUb3AgVW50RiNSbHQAAAAAAAAAAAAAAABTY2wgVW50RiNQcmNAWQAAAAAAAAAAABBjcm9wV2hl blByaW50aW5nYm9vbAAAAAAOY3JvcFJlY3RCb3R0b21sb25nAAAAAAAAAAxjcm9wUmVjdExlZnRs b25nAAAAAAAAAA1jcm9wUmVjdFJpZ2h0bG9uZwAAAAAAAAALY3JvcFJlY3RUb3Bsb25nAAAAAAA4 QklNA+0AAAAAABAASAAAAAEAAQBIAAAAAQABOEJJTQQmAAAAAAAOAAAAAAAAAAAAAD+AAAA4QklN BA0AAAAAAAQAAAB4OEJJTQQZAAAAAAAEAAAAHjhCSU0D8wAAAAAACQAAAAAAAAAAAQA4QklNJxAA AAAAAAoAAQAAAAAAAAABOEJJTQP1AAAAAABIAC9mZgABAGxmZgAGAAAAAAABAC9mZgABAKGZmgAG AAAAAAABADIAAAABAFoAAAAGAAAAAAABADUAAAABAC0AAAAGAAAAAAABOEJJTQP4AAAAAABwAAD/ ////////////////////////////A+gAAAAA/////////////////////////////wPoAAAAAP// //////////////////////////8D6AAAAAD/////////////////////////////A+gAADhCSU0E AAAAAAAAAgACOEJJTQQCAAAAAAAUAAAAAAAAAAAAAAAAAAAAAAAAAAA4QklNBDAAAAAAAAoBAQEB AQEBAQEBOEJJTQQtAAAAAAAGAAEAAAAeOEJJTQQIAAAAAAAQAAAAAQAAAkAAAAJAAAAAADhCSU0E HgAAAAAABAAAAAA4QklNBBoAAAAAA20AAAAGAAAAAAAAAAAAAADIAAABKwAAABwASQBjAG8AbgBf ADAAMABfAEMAbABhAHMAcwBpAGMAXwBDAGwAZQBhAHIAaQBuAGcAaAB1AHMAZQAAAAEAAAAAAAAA AAAAAAAAAAAAAAAAAQAAAAAAAAAAAAABKwAAAMgAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAA AAAAAAAAAAAQAAAAAQAAAAAAAG51bGwAAAACAAAABmJvdW5kc09iamMAAAABAAAAAAAAUmN0MQAA AAQAAAAAVG9wIGxvbmcAAAAAAAAAAExlZnRsb25nAAAAAAAAAABCdG9tbG9uZwAAAMgAAAAAUmdo dGxvbmcAAAErAAAABnNsaWNlc1ZsTHMAAAABT2JqYwAAAAEAAAAAAAVzbGljZQAAABIAAAAHc2xp Y2VJRGxvbmcAAAAAAAAAB2dyb3VwSURsb25nAAAAAAAAAAZvcmlnaW5lbnVtAAAADEVTbGljZU9y aWdpbgAAAA1hdXRvR2VuZXJhdGVkAAAAAFR5cGVlbnVtAAAACkVTbGljZVR5cGUAAAAASW1nIAAA AAZib3VuZHNPYmpjAAAAAQAAAAAAAFJjdDEAAAAEAAAAAFRvcCBsb25nAAAAAAAAAABMZWZ0bG9u ZwAAAAAAAAAAQnRvbWxvbmcAAADIAAAAAFJnaHRsb25nAAABKwAAAAN1cmxURVhUAAAAAQAAAAAA AG51bGxURVhUAAAAAQAAAAAAAE1zZ2VURVhUAAAAAQAAAAAABmFsdFRhZ1RFWFQAAAABAAAAAAAO Y2VsbFRleHRJc0hUTUxib29sAQAAAAhjZWxsVGV4dFRFWFQAAAABAAAAAAAJaG9yekFsaWduZW51 bQAAAA9FU2xpY2VIb3J6QWxpZ24AAAAHZGVmYXVsdAAAAAl2ZXJ0QWxpZ25lbnVtAAAAD0VTbGlj ZVZlcnRBbGlnbgAAAAdkZWZhdWx0AAAAC2JnQ29sb3JUeXBlZW51bQAAABFFU2xpY2VCR0NvbG9y VHlwZQAAAABOb25lAAAACXRvcE91dHNldGxvbmcAAAAAAAAACmxlZnRPdXRzZXRsb25nAAAAAAAA AAxib3R0b21PdXRzZXRsb25nAAAAAAAAAAtyaWdodE91dHNldGxvbmcAAAAAADhCSU0EKAAAAAAA DAAAAAI/8AAAAAAAADhCSU0EFAAAAAAABAAAAB44QklNBAwAAAAAEg8AAAABAAAAoAAAAGsAAAHg AADIoAAAEfMAGAAB/9j/7QAMQWRvYmVfQ00AAf/uAA5BZG9iZQBkgAAAAAH/2wCEAAwICAgJCAwJ CQwRCwoLERUPDAwPFRgTExUTExgRDAwMDAwMEQwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwB DQsLDQ4NEA4OEBQODg4UFA4ODg4UEQwMDAwMEREMDAwMDAwRDAwMDAwMDAwMDAwMDAwMDAwMDAwM DAwMDAwMDP/AABEIAGsAoAMBIgACEQEDEQH/3QAEAAr/xAE/AAABBQEBAQEBAQAAAAAAAAADAAEC BAUGBwgJCgsBAAEFAQEBAQEBAAAAAAAAAAEAAgMEBQYHCAkKCxAAAQQBAwIEAgUHBggFAwwzAQAC EQMEIRIxBUFRYRMicYEyBhSRobFCIyQVUsFiMzRygtFDByWSU/Dh8WNzNRaisoMmRJNUZEXCo3Q2 F9JV4mXys4TD03Xj80YnlKSFtJXE1OT0pbXF1eX1VmZ2hpamtsbW5vY3R1dnd4eXp7fH1+f3EQAC AgECBAQDBAUGBwcGBTUBAAIRAyExEgRBUWFxIhMFMoGRFKGxQiPBUtHwMyRi4XKCkkNTFWNzNPEl BhaisoMHJjXC0kSTVKMXZEVVNnRl4vKzhMPTdePzRpSkhbSVxNTk9KW1xdXl9VZmdoaWprbG1ub2 JzdHV2d3h5ent8f/2gAMAwEAAhEDEQA/AAbktyFuS3LQcyku5Lchbk+5JVJNyW5D3JbkVUk3JbkP cluQVSTcn3IW5Lckqku5LchbktySqS7ktyFuS3JKpLuS3IW5Lckqku5LchbktySqS7ktyFuS3JKp /9Cv02inLz6cW6x1TL3bBY0AkOIPp/S/ef7F0P8AzPxf+5d3+YxciLHsIsrMPYQ5h8HNO5v/AEl6 TRkMyserKr+hkMbY3+0N0f2Xe1XZEjYtGIB3DxPWenfszNGO15srdW2xj3AAmZa8e32+17VR3Lpv rnj7sTGzANabDU8/ybBuZ/4JX/01ym5GJsLZCi2cWp+TlU4zPpX2NrB8Nx1d/Zb7l0p+p+JOmZdH b2MWZ9UMf1uqOyCJbiVlw/r2foq/+h6q7ICSBxPdNlI3oujEVq8P1vp+P0zJZjVXPuca/UsLw0bZ J9Nvs/kt3JdP6J1LqDRbUwVUHi+0lrT/AMW2HWW/2GbFrdL6dX1fOv67mt349th+xUO+i5jD6Vd1 rfzqmtr/AEVf+Ef+kXRe5x8SUjMjTqoQB16PP0/U+gD9Yy7HnuKmNYPvs9VyL/zR6b/psgf2mf8A pNEzPrT0fFea2vdlWN0IoAc0Hw9Z5ZV/236iqD664U64l4HiHMP9yVzTUFrfqdOmLmHceG3M0/7c qP8A6LWd0Xo9XU7cqu251f2baA6oBwdJex30/wA39H7Fsu+tnSn4l76XvryGVPNVVrYLnx+jax7P Ur+l/KWb9TrmUfbS6TDaQAOSZtRHFR79EHgFHp1T5P1Zw8eJyrne1ziNrNIHtQsL6v4d/TMbOuyr WHIYHFjGtcA48tbPu9sLTyLX2ix7uSx0DwEH2hVOkGek4fh6TTCk4DpZ82ucvzEDS6iy/wCaGM+s upzLC5zSa9zWhpd+Zvj3bdy5l29jnMsaWPYS17TyHNO1zT/Vcu2qzba4D/ewCIPIHk5Yv1u6f6dz Op1D9HkQzI8rI/RWf9erG3/jK/8AhE3WJo9dmWMozFx3HzBwXP2tLvAErqWfVHFcxj/tdw3ta6Nj PzgHLkLHfo3fA/kXplX8xV/xbP8AqWpsyRVLoRBu3ietdPr6ZmNxq7HWtdW2zc8AGXFzdvt/qKhu Wt9cDHV2f+F2f9VYsTcnA6BBGpf/0cXcu0+puZ6/Sn4zj78OwtA/4Oz9LX/0/WYuH3Lb+p2b6HWh Q4wzNY6r+239NT/1L6/+uK7LUNGOhev6xiHN6Vl4wEvdWXV/16/01f8A0mLzlr9wBHBEr1Jp2uDv AyvM+r4jsLqmXhVj+btIpHi2z9Jj/wDRsYhA9EyD1/1OxfS6Qckj3Zlrng/yK/0Nf/S9Vy0OsWvZ 099VTtt+Y5mJS7uHXn0nPH/FU+rb/YVjGxm4eLTiM+jj1tq+bRtcf7T1j9TzA/60dG6cDIpc7JsH 8tzLG0f5tbHv/wCuJu5tdsKdtldVLGU0t2U1NFdTR2Y0bGN/zQub+uXVbKWV9LocWm9nqZThofTJ 210f1bdr32/yF0q4H63Pd/zhyQezKQ34em1GO6JbOZujjQJbx4hDa73s/rNH/SC9C6jh9Mbc6qrE x27XHftqZzOjZ2qQakBjkRGJkXgd48Vt/Vcy/L/q1/lsWx9hwf8AuLT/ANtt/wDIqth1119Y6hXU xtbBVjkNYA0ah8+1qeI0QwyyiUZCq0v/AJzes/mrP6jv+pKq9G16Rhf8S1WrP5qz+o//AKkqp0T/ AJGwf+Ib/FO6/Ri/RPmP+6T1ZVNPWsbHyDFeTS/ZJhotrdvZP/GVl7P+21sZONRm4tmLfrTkM2uP cT7mWN/l1u22MXG/Wpz2W4T2Ha9oeWOHIc11bmu/zl0HTuqvysCrLqgscIsrOprsBixm79zd/NqK cTKWhbGOYhAEjQ3ZDxGdRfh25GJkCLqC5j44MD2vb/Isb+kYvTKf5in/AItn/UtXKfXXFrvxmdVo +mxvoZQj80/0e3/rdh9D/rlS6em5rcGm50lvo1uMc6sYmSs0K1ZokUSDp3eS+uZjrFf/AIWr/wCq tWFuWx9crN3V6nQWzi1mDz9K1YW5OGyDrq//0uc3KVWRZj215FRi2h7bWf1mHe3/AKlB3JbleaVP rld1eRVXkVa1XsbbX/VeA9v/AFS57qvTPW+uXSrts121m23wnDl//f8AHRfqTm/aehtocZswbHUn +o79PR/0Xvr/AOtrbfXUbWZDwA+lr2seTECzZ6v+d6TFHsVyQDc7UxPJ/ivOW9abZ9aGdXeYpOU1 w8qZ+zs/9l/cuo+sfWn43SMl1I2Otb6Fbj9KbfY4j93bV6jl57pt2x7YiPJOESN1omJax1AL7A5p a4tPIMLjvr3gPZfR1Rgmqxox7z+69smhzv8Aja3en/1pXPq79ZH5uHXj2EHLxGBtwP0rWN9ld4/s 7W3f8L/xi0Mm85VLqL2MdTYIfWRIcD+a6UY45b6LJ5oRsG7D5zuIII5BkfELTp6/1izIqa/KcQ+x gcNrNQ5zQ78zzV3L+qMuLsHIDWniq8Ex/VuZ7nf260HH+qvUW31vsuoa1j2vO0vcYa4OgDYzwT6k FpyYpDUj6h6lwhxA7ErPxv8Al3qP/E4v5LFoOMuJ8TKzsX/l7qX/ABOL+SxSHcebWjtL+7/3UW9Z /NWf1H/9S5VOhf8AImB/xDf4q3b/ADNv/Fv/AOpcqfQP+Qun/wDhdn8Uuv0V+gfMf905f1uMOwvh b+WtB+q/U3Yub9lc6KsrRs8C38wGfzb2/ov+2kT64mH4Xwt/LWud3HsSD2I5B8Qo5GpFs448WIDz /wCk+otxsPMx8nDfIqy6zW9h7A6b2/1He7+woYdV7sPDxcj2uxqK25DfGxg9L/Nc5m9B+rXVW9U6 e21w/WKiWZAHAfGrm/uNvb+lWoxha55JkOdu/CEwmpE/Za6MLgInv6q/l+88R9eTHW6x/wB1a/8A qrVz+5bv18Mdcr/8K1/9Vaud3JDYMhGr/9PlNyUocpbldalO/wDVLrlHSM285ZIxcmra4tBdFjDu pdtbP5r7WLoLvrj0a6QckiuZDPSf289i4bExcjMuNGM0PtFb7QwmC5tTTbY2v9+302uc2v8APRW9 NzHYbcv27LK2W01AudbYyy04VZrqrY/6dzfZ6rq/VZ/M+okJAG9L8USx8Yq5Af1XU+svWcbqBx6c N5spq3WWOLS2Xu9jRteG/Qr/APPixJRK+n9TtdtqwsmxxYLNrKLXHY4ltdu1te70rHMe2uz6D1J3 Tc71KqqaX5Vl1VdobjV22Fvqh9jKbWirc29rKrN7Poez+cekZWbVHHwxAFo6rrabW3UvdXbWZZYw w4HyXRYX1yIaGdRo3kf4eiAT/Xodtb/22/8A62ufrwcu2rHsx2OyHZTrW1UUsfZbNO31d1TK/wCX /g/U/wCF9JNi4WZl5gwcepzsolwNTv0ZbsBdb63rbPR9Lb+k9VISrYqlijL5hb2lf1m6FYJ+1emf Cyt7T/1LmqbvrF0ICftrD5BryfwYuNt6Zk1/aDXbj5bMStl1tmJe29m2x/2atrHV/Su9b2+im6j0 /J6bY2rJfQ+0lzX1Y9zL31vYQ2yjIZTu9G9rnbfT/wAxO93yYjykf6z1N31u6RWP0Tbsg9trNg/z 7i3/AKhU+m/WPBPUc3NzP1UZDKWVsAdb/Nb2mXMZ/KWU76vdSZe3GsfjNyC2176Bex9lXo1uybK8 qqj1H02elX7P8Hv/AMIqLMfLeyh7ca4ty9MU+k+LT+7je39Yd/xO9D3CdbC77tEAijrpfV7Oz6zd DdW9oyHS5jgP0VnJaQPzFW6P9YOkYvScPGvvLLqaWssaK3mHDtua3a5ct9kz/WfjjEyHZFZDX0Cm w2NcQXsY+rZ6jHPYxz2b0Szp2c251VVT8ota15fjV2Wsh9bcn6Qqb7mVWfpPb/0EfcN9Efdo1Xq3 dT6zdUweoOxTh2GwVCwWS1zY3Fm36Yb+6sXcjYnTs/MNLqMe00ZFjKWZRrf6Ac97cdpfktY6prG2 2Na9LJ6dn4uacG3HtOQXuZU1lbz6uxzqzZiDYH5NTtnssqYmmVlkjj4YgC6Dd+r/AFg9Lzi57i3F yBsyNsy2PdVe1rfzqnf+BWWLsaPrp9Xgwi7Lduk6+jZqD8GLzwY+WXlgou3ttFBZ6b9wuP0cYt27 vtLo/o/88kcbLFIyDj3Chz/Tbd6T/TNk7PRZbt9N128bPS/nN6RIqlcHq4tdq8HZ+tvVMHqfVmZO DYbaRjsrLi1zPc11jnN22Brvz1i7k11V+Pa6nIqsouZG+q1jq3iRuburtDXt3NUNyCaf/9TjZSlQ lKVca1Nvpmfb07qWL1Cqd+La22AY3NBi2v8A67S6yr+2tyr614VWTlbKL/sJPTKsCklpdXj9NuZk Orul+31b2ttczZv/AE1v/XFzEpSgYg7rgSNntuh9aryrep52Rmim27qHr4b8h9TrMRhZkUsy3VZW ViNuppozPs9dNP26qv0LP1JZtf1qpporqoGQ11dXSqS9hDNzenOtdk/nixrMn1GfZ2O/6/6S5rQ8 6xwnlDgCeMvTWfWXpN9u6/HvLRZ1Syt21j/Td1C2u7Gs+zG+qrK9GtltWTi32fZ/0n+HQcn6yY2T 9Zc7qr6LfsXVKHYmVQCwXiq2inEvdS/3U+syyj1KvzLP+DXPylKXCP2I4i7+f13pd7Mqqmm7Zk4N GG6z0qMdz7K8j7Xde+nEd6FO6j9DTs9T3sQ+t9cxszIwcjCF9uThHc7Nzm1Nvt2PY/DpyPsctvbi sp/pNrvWu9SxYkpSiIhFl3rerdD/AGrd1TGrzW25rcs5NVnoltb8uqyvbjWVubZaxmXc5/qW+n+r /wCC9VW3fWvp1xw3ZGNZsrdQ/Kxa662s3Y9D8Wm6jKZfVk3enZ6VteM77L+h9bHtuXLSlKHCE2Xp uofWyu/AzsbDbfj35WFhYVd7dlMfZLLn5DnsxrP0NWVRd6baaf8AhKf5pS/53Y7chltLcmpgz8HL tDC1pdTiYzMPIxzstG/1bq99Vb/0NjP5301y8pSlwRVxF7UdWxMboeDd9qrJpOHbdUw0vfkMx8t+ dT0sV/afXx7cOvI/SPd06r9JT+mzbalRP1tosttN7clzb3dTYbJa62mnqBpfjuw99m37Ri/Z9j6v 0VWyx/pWLl9Jnv4p5S4ArjL1LfrT0yzLNuVTluqozMPMxXNdW66w4dX2P/KD7HNZ6t7f09jqfU/0 H/CqOJ9a8PFGBa6i7LyMHIFjBa1lbWU/p9+O2yu1/wBs2faPUwftWOyzDv8AV/WVzEpSlwhXEXS6 11GnPyKHUF5pxqG0V+pVXSQA6yzY2rHsvZsb6n+l/fVCVCUpTgtf/9Xh5SlRSVxrspSlRSSUylKV FJJTKUpUUklMpSlRSSUylKVFJJTKUpUUklMpSlRSSUylKVFJJTKUpUUklP8A/9kAOEJJTQQhAAAA AABVAAAAAQEAAAAPAEEAZABvAGIAZQAgAFAAaABvAHQAbwBzAGgAbwBwAAAAEwBBAGQAbwBiAGUA IABQAGgAbwB0AG8AcwBoAG8AcAAgAEMAUwA2AAAAAQA4QklNBAYAAAAAAAcACAEBAAEBAP/hFyJo dHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvADw/eHBhY2tldCBiZWdpbj0n77u/JyBpZD0nVzVN ME1wQ2VoaUh6cmVTek5UY3prYzlkJz8+DQo8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1l dGEvIj48cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRm LXN5bnRheC1ucyMiPjxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSJ1dWlkOmZhZjViZGQ1LWJh M2QtMTFkYS1hZDMxLWQzM2Q3NTE4MmYxYiIgeG1sbnM6eG1wPSJodHRwOi8vbnMuYWRvYmUuY29t L3hhcC8xLjAvIj48eG1wOkNyZWF0b3JUb29sPkFkb2JlIFBob3Rvc2hvcCBDUzYgKFdpbmRvd3Mp PC94bXA6Q3JlYXRvclRvb2w+PHhtcDpDcmVhdGVEYXRlPjIwMTctMDYtMDJUMTU6MTE6MjEtMDQ6 MDA8L3htcDpDcmVhdGVEYXRlPjx4bXA6TWV0YWRhdGFEYXRlPjIwMjAtMDYtMjlUMTk6NTc6NDgt MDQ6MDA8L3htcDpNZXRhZGF0YURhdGU+PHhtcDpNb2RpZnlEYXRlPjIwMjAtMDYtMjlUMTk6NTc6 NDgtMDQ6MDA8L3htcDpNb2RpZnlEYXRlPjwvcmRmOkRlc2NyaXB0aW9uPjxyZGY6RGVzY3JpcHRp b24gcmRmOmFib3V0PSJ1dWlkOmZhZjViZGQ1LWJhM2QtMTFkYS1hZDMxLWQzM2Q3NTE4MmYxYiIg eG1sbnM6cGhvdG9zaG9wPSJodHRwOi8vbnMuYWRvYmUuY29tL3Bob3Rvc2hvcC8xLjAvIj48cGhv dG9zaG9wOkNvbG9yTW9kZT4zPC9waG90b3Nob3A6Q29sb3JNb2RlPjxwaG90b3Nob3A6SUNDUHJv ZmlsZT5zUkdCIElFQzYxOTY2LTIuMTwvcGhvdG9zaG9wOklDQ1Byb2ZpbGU+PHBob3Rvc2hvcDpE b2N1bWVudEFuY2VzdG9ycz48cmRmOkJhZyB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5 OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPjxyZGY6bGk+dXVpZDo0NzI1MzZGMjA4MDBERDExOUU0 Nzk5N0JBRUNCRERCQjwvcmRmOmxpPjxyZGY6bGk+eG1wLmRpZDoyREZBQzFBRTZERURFNjExQTFE MEY2RjdCQzVFQ0Q3QjwvcmRmOmxpPjxyZGY6bGk+eG1wLmRpZDo0MUNFNTg4ODNBNDJFNzExQjBG MEFFNDZGMjg4Rjk0MTwvcmRmOmxpPjxyZGY6bGk+eG1wLmRpZDo1RkQ3RURFNEY1NEFFNzExOEZB OEU2REYzMTY3N0VENDwvcmRmOmxpPjxyZGY6bGk+eG1wLmRpZDpFQTI1NTM0M0M3NDdFNzExQjNC REYwRkYyNTY3OENBMjwvcmRmOmxpPjwvcmRmOkJhZz4NCgkJCTwvcGhvdG9zaG9wOkRvY3VtZW50 QW5jZXN0b3JzPjwvcmRmOkRlc2NyaXB0aW9uPjxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSJ1 dWlkOmZhZjViZGQ1LWJhM2QtMTFkYS1hZDMxLWQzM2Q3NTE4MmYxYiIgeG1sbnM6ZGM9Imh0dHA6 Ly9wdXJsLm9yZy9kYy9lbGVtZW50cy8xLjEvIj48ZGM6Zm9ybWF0PmltYWdlL2pwZWc8L2RjOmZv cm1hdD48L3JkZjpEZXNjcmlwdGlvbj48cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0idXVpZDpm YWY1YmRkNS1iYTNkLTExZGEtYWQzMS1kMzNkNzUxODJmMWIiIHhtbG5zOnhtcE1NPSJodHRwOi8v bnMuYWRvYmUuY29tL3hhcC8xLjAvbW0vIj48eG1wTU06SW5zdGFuY2VJRD54bXAuaWlkOjU1MTQ0 NTFGMkVCQUVBMTE4MzhEREEyOURDMUM2MkZEPC94bXBNTTpJbnN0YW5jZUlEPjx4bXBNTTpEb2N1 bWVudElEPnhtcC5kaWQ6RUEyNTUzNDNDNzQ3RTcxMUIzQkRGMEZGMjU2NzhDQTI8L3htcE1NOkRv Y3VtZW50SUQ+PHhtcE1NOk9yaWdpbmFsRG9jdW1lbnRJRD54bXAuZGlkOkVBMjU1MzQzQzc0N0U3 MTFCM0JERjBGRjI1Njc4Q0EyPC94bXBNTTpPcmlnaW5hbERvY3VtZW50SUQ+PHhtcE1NOkhpc3Rv cnk+PHJkZjpTZXEgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1z eW50YXgtbnMjIj48cmRmOmxpPjxyZGY6RGVzY3JpcHRpb24geG1sbnM6cmRmPSJodHRwOi8vd3d3 LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj48c3RFdnQ6YWN0aW9uIHhtbG5zOnN0 RXZ0PSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VFdmVudCMiPmNy ZWF0ZWQ8L3N0RXZ0OmFjdGlvbj48c3RFdnQ6aW5zdGFuY2VJRCB4bWxuczpzdEV2dD0iaHR0cDov L25zLmFkb2JlLmNvbS94YXAvMS4wL3NUeXBlL1Jlc291cmNlRXZlbnQjIj54bXAuaWlkOkVBMjU1 MzQzQzc0N0U3MTFCM0JERjBGRjI1Njc4Q0EyPC9zdEV2dDppbnN0YW5jZUlEPjxzdEV2dDp3aGVu IHhtbG5zOnN0RXZ0PSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VF dmVudCMiPjIwMTctMDYtMDJUMTU6MTE6MjEtMDQ6MDA8L3N0RXZ0OndoZW4+PHN0RXZ0OnNvZnR3 YXJlQWdlbnQgeG1sbnM6c3RFdnQ9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9zVHlwZS9S ZXNvdXJjZUV2ZW50IyI+QWRvYmUgUGhvdG9zaG9wIENTNiAoV2luZG93cyk8L3N0RXZ0OnNvZnR3 YXJlQWdlbnQ+PC9yZGY6RGVzY3JpcHRpb24+DQoJCQkJCTwvcmRmOmxpPjxyZGY6bGk+PHJkZjpE ZXNjcmlwdGlvbiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5 bnRheC1ucyMiPjxzdEV2dDphY3Rpb24geG1sbnM6c3RFdnQ9Imh0dHA6Ly9ucy5hZG9iZS5jb20v eGFwLzEuMC9zVHlwZS9SZXNvdXJjZUV2ZW50IyI+c2F2ZWQ8L3N0RXZ0OmFjdGlvbj48c3RFdnQ6 aW5zdGFuY2VJRCB4bWxuczpzdEV2dD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL3NUeXBl L1Jlc291cmNlRXZlbnQjIj54bXAuaWlkOjFGMTU3MDNGNzQ2REU3MTE4NjNBRUJGMzE4QUNBNjY5 PC9zdEV2dDppbnN0YW5jZUlEPjxzdEV2dDp3aGVuIHhtbG5zOnN0RXZ0PSJodHRwOi8vbnMuYWRv YmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VFdmVudCMiPjIwMTctMDctMjBUMTM6NTI6NTct MDQ6MDA8L3N0RXZ0OndoZW4+PHN0RXZ0OnNvZnR3YXJlQWdlbnQgeG1sbnM6c3RFdnQ9Imh0dHA6 Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9zVHlwZS9SZXNvdXJjZUV2ZW50IyI+QWRvYmUgUGhvdG9z aG9wIENTNiAoV2luZG93cyk8L3N0RXZ0OnNvZnR3YXJlQWdlbnQ+PHN0RXZ0OmNoYW5nZWQgeG1s bnM6c3RFdnQ9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9zVHlwZS9SZXNvdXJjZUV2ZW50 IyI+Lzwvc3RFdnQ6Y2hhbmdlZD48L3JkZjpEZXNjcmlwdGlvbj4NCgkJCQkJPC9yZGY6bGk+PHJk ZjpsaT48cmRmOkRlc2NyaXB0aW9uIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8w Mi8yMi1yZGYtc3ludGF4LW5zIyI+PHN0RXZ0OmFjdGlvbiB4bWxuczpzdEV2dD0iaHR0cDovL25z LmFkb2JlLmNvbS94YXAvMS4wL3NUeXBlL1Jlc291cmNlRXZlbnQjIj5zYXZlZDwvc3RFdnQ6YWN0 aW9uPjxzdEV2dDppbnN0YW5jZUlEIHhtbG5zOnN0RXZ0PSJodHRwOi8vbnMuYWRvYmUuY29tL3hh cC8xLjAvc1R5cGUvUmVzb3VyY2VFdmVudCMiPnhtcC5paWQ6NTQxNDQ1MUYyRUJBRUExMTgzOERE QTI5REMxQzYyRkQ8L3N0RXZ0Omluc3RhbmNlSUQ+PHN0RXZ0OndoZW4geG1sbnM6c3RFdnQ9Imh0 dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9zVHlwZS9SZXNvdXJjZUV2ZW50IyI+MjAyMC0wNi0y OVQxOTo1Nzo0OC0wNDowMDwvc3RFdnQ6d2hlbj48c3RFdnQ6c29mdHdhcmVBZ2VudCB4bWxuczpz dEV2dD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL3NUeXBlL1Jlc291cmNlRXZlbnQjIj5B ZG9iZSBQaG90b3Nob3AgQ1M2IChXaW5kb3dzKTwvc3RFdnQ6c29mdHdhcmVBZ2VudD48c3RFdnQ6 Y2hhbmdlZCB4bWxuczpzdEV2dD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL3NUeXBlL1Jl c291cmNlRXZlbnQjIj4vPC9zdEV2dDpjaGFuZ2VkPjwvcmRmOkRlc2NyaXB0aW9uPg0KCQkJCQk8 L3JkZjpsaT48cmRmOmxpPjxyZGY6RGVzY3JpcHRpb24geG1sbnM6cmRmPSJodHRwOi8vd3d3Lncz Lm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj48c3RFdnQ6YWN0aW9uIHhtbG5zOnN0RXZ0 PSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VFdmVudCMiPmNvbnZl cnRlZDwvc3RFdnQ6YWN0aW9uPjxzdEV2dDpwYXJhbWV0ZXJzIHhtbG5zOnN0RXZ0PSJodHRwOi8v bnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VFdmVudCMiPmZyb20gYXBwbGljYXRp b24vdm5kLmFkb2JlLnBob3Rvc2hvcCB0byBpbWFnZS9qcGVnPC9zdEV2dDpwYXJhbWV0ZXJzPjwv cmRmOkRlc2NyaXB0aW9uPg0KCQkJCQk8L3JkZjpsaT48cmRmOmxpPjxyZGY6RGVzY3JpcHRpb24g eG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj48 c3RFdnQ6YWN0aW9uIHhtbG5zOnN0RXZ0PSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5 cGUvUmVzb3VyY2VFdmVudCMiPmRlcml2ZWQ8L3N0RXZ0OmFjdGlvbj48c3RFdnQ6cGFyYW1ldGVy cyB4bWxuczpzdEV2dD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL3NUeXBlL1Jlc291cmNl RXZlbnQjIj5jb252ZXJ0ZWQgZnJvbSBhcHBsaWNhdGlvbi92bmQuYWRvYmUucGhvdG9zaG9wIHRv IGltYWdlL2pwZWc8L3N0RXZ0OnBhcmFtZXRlcnM+PC9yZGY6RGVzY3JpcHRpb24+DQoJCQkJCTwv cmRmOmxpPjxyZGY6bGk+PHJkZjpEZXNjcmlwdGlvbiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMu b3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPjxzdEV2dDphY3Rpb24geG1sbnM6c3RFdnQ9 Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9zVHlwZS9SZXNvdXJjZUV2ZW50IyI+c2F2ZWQ8 L3N0RXZ0OmFjdGlvbj48c3RFdnQ6aW5zdGFuY2VJRCB4bWxuczpzdEV2dD0iaHR0cDovL25zLmFk b2JlLmNvbS94YXAvMS4wL3NUeXBlL1Jlc291cmNlRXZlbnQjIj54bXAuaWlkOjU1MTQ0NTFGMkVC QUVBMTE4MzhEREEyOURDMUM2MkZEPC9zdEV2dDppbnN0YW5jZUlEPjxzdEV2dDp3aGVuIHhtbG5z OnN0RXZ0PSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VFdmVudCMi PjIwMjAtMDYtMjlUMTk6NTc6NDgtMDQ6MDA8L3N0RXZ0OndoZW4+PHN0RXZ0OnNvZnR3YXJlQWdl bnQgeG1sbnM6c3RFdnQ9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9zVHlwZS9SZXNvdXJj ZUV2ZW50IyI+QWRvYmUgUGhvdG9zaG9wIENTNiAoV2luZG93cyk8L3N0RXZ0OnNvZnR3YXJlQWdl bnQ+PHN0RXZ0OmNoYW5nZWQgeG1sbnM6c3RFdnQ9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEu MC9zVHlwZS9SZXNvdXJjZUV2ZW50IyI+Lzwvc3RFdnQ6Y2hhbmdlZD48L3JkZjpEZXNjcmlwdGlv bj4NCgkJCQkJPC9yZGY6bGk+PC9yZGY6U2VxPg0KCQkJPC94bXBNTTpIaXN0b3J5Pjx4bXBNTTpE ZXJpdmVkRnJvbT48cmRmOkRlc2NyaXB0aW9uIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcv MTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+PHN0UmVmOmluc3RhbmNlSUQgeG1sbnM6c3RSZWY9 Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9zVHlwZS9SZXNvdXJjZVJlZiMiPnhtcC5paWQ6 NTQxNDQ1MUYyRUJBRUExMTgzOEREQTI5REMxQzYyRkQ8L3N0UmVmOmluc3RhbmNlSUQ+PHN0UmVm OmRvY3VtZW50SUQgeG1sbnM6c3RSZWY9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9zVHlw ZS9SZXNvdXJjZVJlZiMiPnhtcC5kaWQ6RUEyNTUzNDNDNzQ3RTcxMUIzQkRGMEZGMjU2NzhDQTI8 L3N0UmVmOmRvY3VtZW50SUQ+PHN0UmVmOm9yaWdpbmFsRG9jdW1lbnRJRCB4bWxuczpzdFJlZj0i aHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL3NUeXBlL1Jlc291cmNlUmVmIyI+eG1wLmRpZDpF QTI1NTM0M0M3NDdFNzExQjNCREYwRkYyNTY3OENBMjwvc3RSZWY6b3JpZ2luYWxEb2N1bWVudElE PjwvcmRmOkRlc2NyaXB0aW9uPg0KCQkJPC94bXBNTTpEZXJpdmVkRnJvbT48L3JkZjpEZXNjcmlw dGlvbj48L3JkZjpSREY+PC94OnhtcG1ldGE+DQo8P3hwYWNrZXQgZW5kPSd3Jz8+/+IMWElDQ19Q Uk9GSUxFAAEBAAAMSExpbm8CEAAAbW50clJHQiBYWVogB84AAgAJAAYAMQAAYWNzcE1TRlQAAAAA SUVDIHNSR0IAAAAAAAAAAAAAAAEAAPbWAAEAAAAA0y1IUCAgAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARY3BydAAAAVAAAAAzZGVzYwAAAYQAAABsd3RwdAAA AfAAAAAUYmtwdAAAAgQAAAAUclhZWgAAAhgAAAAUZ1hZWgAAAiwAAAAUYlhZWgAAAkAAAAAUZG1u ZAAAAlQAAABwZG1kZAAAAsQAAACIdnVlZAAAA0wAAACGdmlldwAAA9QAAAAkbHVtaQAAA/gAAAAU bWVhcwAABAwAAAAkdGVjaAAABDAAAAAMclRSQwAABDwAAAgMZ1RSQwAABDwAAAgMYlRSQwAABDwA AAgMdGV4dAAAAABDb3B5cmlnaHQgKGMpIDE5OTggSGV3bGV0dC1QYWNrYXJkIENvbXBhbnkAAGRl c2MAAAAAAAAAEnNSR0IgSUVDNjE5NjYtMi4xAAAAAAAAAAAAAAASc1JHQiBJRUM2MTk2Ni0yLjEA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFhZWiAAAAAA AADzUQABAAAAARbMWFlaIAAAAAAAAAAAAAAAAAAAAABYWVogAAAAAAAAb6IAADj1AAADkFhZWiAA AAAAAABimQAAt4UAABjaWFlaIAAAAAAAACSgAAAPhAAAts9kZXNjAAAAAAAAABZJRUMgaHR0cDov L3d3dy5pZWMuY2gAAAAAAAAAAAAAABZJRUMgaHR0cDovL3d3dy5pZWMuY2gAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZGVzYwAAAAAAAAAuSUVDIDYxOTY2LTIu MSBEZWZhdWx0IFJHQiBjb2xvdXIgc3BhY2UgLSBzUkdCAAAAAAAAAAAAAAAuSUVDIDYxOTY2LTIu MSBEZWZhdWx0IFJHQiBjb2xvdXIgc3BhY2UgLSBzUkdCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGRl c2MAAAAAAAAALFJlZmVyZW5jZSBWaWV3aW5nIENvbmRpdGlvbiBpbiBJRUM2MTk2Ni0yLjEAAAAA AAAAAAAAACxSZWZlcmVuY2UgVmlld2luZyBDb25kaXRpb24gaW4gSUVDNjE5NjYtMi4xAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAB2aWV3AAAAAAATpP4AFF8uABDPFAAD7cwABBMLAANcngAAAAFY WVogAAAAAABMCVYAUAAAAFcf521lYXMAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAAAKPAAAAAnNp ZyAAAAAAQ1JUIGN1cnYAAAAAAAAEAAAAAAUACgAPABQAGQAeACMAKAAtADIANwA7AEAARQBKAE8A VABZAF4AYwBoAG0AcgB3AHwAgQCGAIsAkACVAJoAnwCkAKkArgCyALcAvADBAMYAywDQANUA2wDg AOUA6wDwAPYA+wEBAQcBDQETARkBHwElASsBMgE4AT4BRQFMAVIBWQFgAWcBbgF1AXwBgwGLAZIB mgGhAakBsQG5AcEByQHRAdkB4QHpAfIB+gIDAgwCFAIdAiYCLwI4AkECSwJUAl0CZwJxAnoChAKO ApgCogKsArYCwQLLAtUC4ALrAvUDAAMLAxYDIQMtAzgDQwNPA1oDZgNyA34DigOWA6IDrgO6A8cD 0wPgA+wD+QQGBBMEIAQtBDsESARVBGMEcQR+BIwEmgSoBLYExATTBOEE8AT+BQ0FHAUrBToFSQVY BWcFdwWGBZYFpgW1BcUF1QXlBfYGBgYWBicGNwZIBlkGagZ7BowGnQavBsAG0QbjBvUHBwcZBysH PQdPB2EHdAeGB5kHrAe/B9IH5Qf4CAsIHwgyCEYIWghuCIIIlgiqCL4I0gjnCPsJEAklCToJTwlk CXkJjwmkCboJzwnlCfsKEQonCj0KVApqCoEKmAquCsUK3ArzCwsLIgs5C1ELaQuAC5gLsAvIC+EL +QwSDCoMQwxcDHUMjgynDMAM2QzzDQ0NJg1ADVoNdA2ODakNww3eDfgOEw4uDkkOZA5/DpsOtg7S Du4PCQ8lD0EPXg96D5YPsw/PD+wQCRAmEEMQYRB+EJsQuRDXEPURExExEU8RbRGMEaoRyRHoEgcS JhJFEmQShBKjEsMS4xMDEyMTQxNjE4MTpBPFE+UUBhQnFEkUahSLFK0UzhTwFRIVNBVWFXgVmxW9 FeAWAxYmFkkWbBaPFrIW1hb6Fx0XQRdlF4kXrhfSF/cYGxhAGGUYihivGNUY+hkgGUUZaxmRGbcZ 3RoEGioaURp3Gp4axRrsGxQbOxtjG4obshvaHAIcKhxSHHscoxzMHPUdHh1HHXAdmR3DHeweFh5A HmoelB6+HukfEx8+H2kflB+/H+ogFSBBIGwgmCDEIPAhHCFIIXUhoSHOIfsiJyJVIoIiryLdIwoj OCNmI5QjwiPwJB8kTSR8JKsk2iUJJTglaCWXJccl9yYnJlcmhya3JugnGCdJJ3onqyfcKA0oPyhx KKIo1CkGKTgpaymdKdAqAio1KmgqmyrPKwIrNitpK50r0SwFLDksbiyiLNctDC1BLXYtqy3hLhYu TC6CLrcu7i8kL1ovkS/HL/4wNTBsMKQw2zESMUoxgjG6MfIyKjJjMpsy1DMNM0YzfzO4M/E0KzRl NJ402DUTNU01hzXCNf02NzZyNq426TckN2A3nDfXOBQ4UDiMOMg5BTlCOX85vDn5OjY6dDqyOu87 LTtrO6o76DwnPGU8pDzjPSI9YT2hPeA+ID5gPqA+4D8hP2E/oj/iQCNAZECmQOdBKUFqQaxB7kIw QnJCtUL3QzpDfUPARANER0SKRM5FEkVVRZpF3kYiRmdGq0bwRzVHe0fASAVIS0iRSNdJHUljSalJ 8Eo3Sn1KxEsMS1NLmkviTCpMcky6TQJNSk2TTdxOJU5uTrdPAE9JT5NP3VAnUHFQu1EGUVBRm1Hm UjFSfFLHUxNTX1OqU/ZUQlSPVNtVKFV1VcJWD1ZcVqlW91dEV5JX4FgvWH1Yy1kaWWlZuFoHWlZa plr1W0VblVvlXDVchlzWXSddeF3JXhpebF69Xw9fYV+zYAVgV2CqYPxhT2GiYfViSWKcYvBjQ2OX Y+tkQGSUZOllPWWSZedmPWaSZuhnPWeTZ+loP2iWaOxpQ2maafFqSGqfavdrT2una/9sV2yvbQht YG25bhJua27Ebx5veG/RcCtwhnDgcTpxlXHwcktypnMBc11zuHQUdHB0zHUodYV14XY+dpt2+HdW d7N4EXhueMx5KnmJeed6RnqlewR7Y3vCfCF8gXzhfUF9oX4BfmJ+wn8jf4R/5YBHgKiBCoFrgc2C MIKSgvSDV4O6hB2EgITjhUeFq4YOhnKG14c7h5+IBIhpiM6JM4mZif6KZIrKizCLlov8jGOMyo0x jZiN/45mjs6PNo+ekAaQbpDWkT+RqJIRknqS45NNk7aUIJSKlPSVX5XJljSWn5cKl3WX4JhMmLiZ JJmQmfyaaJrVm0Kbr5wcnImc951kndKeQJ6unx2fi5/6oGmg2KFHobaiJqKWowajdqPmpFakx6U4 pammGqaLpv2nbqfgqFKoxKk3qamqHKqPqwKrdavprFys0K1ErbiuLa6hrxavi7AAsHWw6rFgsday S7LCszizrrQltJy1E7WKtgG2ebbwt2i34LhZuNG5SrnCuju6tbsuu6e8IbybvRW9j74KvoS+/796 v/XAcMDswWfB48JfwtvDWMPUxFHEzsVLxcjGRsbDx0HHv8g9yLzJOsm5yjjKt8s2y7bMNcy1zTXN tc42zrbPN8+40DnQutE80b7SP9LB00TTxtRJ1MvVTtXR1lXW2Ndc1+DYZNjo2WzZ8dp22vvbgNwF 3IrdEN2W3hzeot8p36/gNuC94UThzOJT4tvjY+Pr5HPk/OWE5g3mlucf56noMui86Ubp0Opb6uXr cOv77IbtEe2c7ijutO9A78zwWPDl8XLx//KM8xnzp/Q09ML1UPXe9m32+/eK+Bn4qPk4+cf6V/rn +3f8B/yY/Sn9uv5L/tz/bf///9sAQwADAgIDAgIDAwMDBAMDBAUIBQUEBAUKBwcGCAwKDAwLCgsL DQ4SEA0OEQ4LCxAWEBETFBUVFQwPFxgWFBgSFBUU/9sAQwEDBAQFBAUJBQUJFA0LDRQUFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQU/8AAEQgAyAErAwEiAAIR AQMRAf/EAB8AAAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIBAwMCBAMFBQQEAAAB fQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYXGBkaJSYnKCkqNDU2Nzg5 OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeIiYqSk5SVlpeYmZqio6Slpqeo qaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh4uPk5ebn6Onq8fLz9PX29/j5+v/EAB8BAAMB AQEBAQEBAQEAAAAAAAABAgMEBQYHCAkKC//EALURAAIBAgQEAwQHBQQEAAECdwABAgMRBAUhMQYS QVEHYXETIjKBCBRCkaGxwQkjM1LwFWJy0QoWJDThJfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNU VVZXWFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5 usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm5+jp6vLz9PX29/j5+v/aAAwDAQACEQMRAD8AyPMo8yqv mUeZX6QflNi15lHmVV8yjzKAsWvMo8yqvmUeZQFi15lHmVV8yjzKAsWvMpfM96qeZR5lAWLfmUnm VV8yl82gLFnzKXzKq+bR5lAWLXmUeZVXzKPMoCxa82jzKq+ZR5lAWLXmUeZVXzKPMoCxa8yjzKq+ ZR5lAWLXme9HmVV8yjzKAsWvMo8yq3mUnmUBYt+bR5tVPM96PMoCxa8yl8yqnme9HmUBYt+ZSCSq 3mUeZQFi15lHmVV8yjzKAsWvMo8yqvmUeZQFi15nvR5nvVXzKPM96AsUvNo86qvmH1o8z0qDWxa8 2jzaq+YfWjzPpQFi151Hm1V800eYfWgLFvzaTzqq+Z70eYfWgLFrzvzo86qvmn1pfMNAWLPnUvnV V8w0nmGgLFvzKPOqp5ho8w0wsW/Oo82qvmGk8w0BYt+d9aPOqr5po800gsWvOo82qvmHvR5pphYt +b70ed71U8w0eZQFi151HnVV8yjzDQFi351J51VvNpPMNAWLfm8Zo86qnmGjzT6UBYteaKXzqqeY aPNP4UBYt+d70edVTzT6UvmUgsWvOo873qp5tL5p9KYWLXnD1o8786q+bR5lAWLXm0vm+1VPMo8y gLFPzPevUfhj8D7j4naDNqVprVvaGGcwSQSRMzKQAQeD0IP6V5J5le6fsm+LBp3jK+0SV8RalBvj BPHmx5P6qX/IVhUclFuJ1UoxckpGv/wyLqv/AEMVp/4Dv/jR/wAMi6r/ANDFaf8AgO/+NfTlFcHt 6nc9H6vT7HwR8RPBN18OfFE2jXcy3LIiSJPGpVXVhnIB98j8K5nzK+if2wPDu3+wdejXrvspWx/w NP8A2pXzZ5nvxXfTlzRTPOqU1CbRa833o8z3qr5lHmVoZWLXmV7N4L/Zp1Xxh4ZsNZGr29kt4nmJ DJCzMFyQCTnuAD+NeOaLp82uaxY6dbgtPdzpAgAz8zMAP51+iOl6fDpOm2ljbrtgtokhjX0VQAP0 Fc1ao4WSOqhSU78x82f8Mjar/wBDFaf+A7/40jfsj6mqknxHZgDkkwN/jX07XCfHDxV/wiHwz1m7 R9lzPH9kgI675PlyPcLuP4VzxrVJNK51SoUoq7R8SXix295PFFMtxFHIyrMowHAOAwHv1qHzKbpt jdaxfwWNjbyXV3O2yOGFSzMfQCvpr4Y/st21nHDqHi9vtVz94abC/wC6T/fYfePsOPc12yqKC1OC FKVR6Hz3oPhrWPFFx5Ok6bdahJnB+zxlgv1PQfjXqOhfsueLtSCvfS2Wkoeqyy+Y4/BAR+tfV2m6 ZaaPZx2tjaw2dtGMLDAgRR+AqzXJLEy+ydscLFfE7nzvY/siRBQbzxLIW7iC0AH5lv6Vb/4ZG0v/ AKGG8/78J/jXvtFZe2qdzX2FPsfPN5+yJAVb7L4lkVuwmtAR+YYVy2sfsqeKbJS1hfWGpDH3d7RO fwIx+tfV9FNV5rqJ4em+h8B+JvAniLwaxGsaTc2SZwJmTdGfo4yv61ufCn4V3PxUn1GK21GGwNks bN5sZbduLDjHptr2/wDa08Rf2b4HsNKRsSajdBmGescY3H/x4p+Vcn+x227U/E//AFxt/wD0J66v aSdJz6nH7GKqqHQd/wAMj6p/0MNp/wCA7f41lX/7M95pl9FbT+ILVBIMiTyGwPrzX1ezBVLMcAck mvMNeuvtmrXEgfzE3YUg8Y9qvCudaTUnoc2YShhaacFq2fPXh34OXPiL4iat4Ti1W3SXT4mlN0Y2 KSAFBgD/AIH+ldw37JOppjd4jsx25gb/ABqr8M9YOj/HvxFNs8xTbyIy+xeLp+Ve0eK9dTVJYFt3 JhRd3odxrX2dWVRRT07mUsVQp0ueS97TT1PI/wDhkfVP+hitP+/Df41m+Iv2W9a0PQr7UINVt9Qk tYml+zRwsrOByQOeuM8d+lfQ/gm6lms5BLciQKcLEfvL7101cVSpUpTcW72PRoRpYikqiVrn5x+Z S+ZXov7QXw8PgHxtJNbR7NJ1PdcW2BwjZ+eP8Ccj2YV5f5ldsZcyujklDldmW/MrQ8O6W3iHXtO0 tJVge8uI4BIwJClmAycemaxfNrpfhnJn4ieGf+wlb/8AoxaG3YUYq6R7L/wyPqn/AEMVp/34f/Gj /hkfVP8AoYbT/vw/+NfTdFeb7ep3PU+r0+x8F/EbwTN8OvE0mjT3cd5IkaSebGpUfMM4wa5jzOK9 Q/agfb8WLof9OsH/AKDXkvmV6EJNxTZ5tSKUmkWvMo8z3qr5lHmVZFin5lbXgrxPJ4R8WaTrEZwb O5SVh/eXPzL+K5H41zXmUeZUb6M2WmqP05t547qCOaJg8Uih0YdCCMg0+vMf2cfFn/CWfCjSi777 nT82EuTk/JjZ/wCOFK9OryZLldj14vmVzz34++G/+Em+FOuRKu6a1j+2R465jO4/+O7h+NfCHmV+ l1xAl1BJDKoeKRSjKehBGCK/N/xhoknhXxVq2jyghrK6kg57gMQD+Iwfxrsw8tGjjxEdVIo+ZR5l VfMo8yuu5x2PaP2XfDf/AAkHxQgu3TdBpcL3Tem77ifq2f8AgNfadeBfsfeGf7P8E6jrciYl1K58 tGx1jjGB/wCPM/5V77Xm1pc0z06MeWAV8w/taeIbjWPEPh/wjYK1xMP9IaCIZZ5XOyNceuA3/fdf TzMFUknCjkk14H8FdBT4gfEXxJ8Sr1PNgN29rpIfkbVGzzB9ECqPctSp2i3J9B1E5JRXU634J/Be 0+GWkrc3Spc+IblB9ouOoiB58tPYdz3PtgV6fRRWcpOTuzSMVFWQVXv9QtdLtWub25htLdOWmnkC KPqTxXm/xs+OVj8KLFLeGNb/AF+5TdBaE/LGvTzJMcgZzgdTjtya+M/GHxA13x5qDXmtajNePnKR k4jjHoiDgCtqdJy16GNSqoaLc+z9Y/aQ8AaPIUOtfbXBwRZwvIP++sbT+dYv/DWngbzNu3U9v9/7 MMf+hZr4s82k8yuj2EDn9vM+5dO/ae+H99IFfU57MnvcWrgfmoNd54e8baB4sTdo+sWeonqUgmVn H1XqPxFfm/5lPgvJbWZJYZXhlQ5WSNirKfUEUnh49GNYiXVHuf7WXiT+0/iNDpqN+60y1VCM/wDL R/nb/wAdKflW/wDsc3CRah4rkkbaiwW5LHt8z1856lrF3rF9LeX9zLeXcpBknmcu7YGBknrwBXsn 7NF9JFN4khQ4WaODcfYM/H61vGnzRVM5Ktf2N6z6H0v4o8UR30JtLUkxkgtJ0z7VytFFerTpxpR5 YnyOIxE8TPnqHkXg1v8Ai+XiQf8ATGT/ANCjr12vHvBbZ+PHiYf9MJP/AEKKvYaKez9TTFfFH0Q6 OV4myjsh9VOK6TQfGD2ax290DLFn/Wk5YCuVuJltreWZgSsalyFGTgDPFWNBh/4SJbV7M74bhVkW THG0jIJ/ClVhTnH3xYerWpTTo7nR/F/wHF8TPAd1ZQhWvUX7TYyekoHAz6MMqfrntXwXMslvNJFK jRyxsVdGGCpBwQR61+k9lbm1tIYSdxjULn1xXyJ+1Z8Nz4a8TR+JbKLbp2rNicKOI7kDJ/77HzfU NXhUZpNx6H29aDlFTa16niHmV03wxk/4uN4YH/USt/8A0Ytcf5ldR8LZM/Enwt/2E7f/ANGLXVJ6 M5IrVH6JUUUV5B7J8W/tTPt+Ld0P+nWD/wBBryHzK9X/AGrH2/F67H/TpB/6DXj3mV61P4EeTUXv st+Z70nmVV8yjzPeruZ2KfnUeZVTzPSjzDU3NbH0z+xn4vNr4l1jw7K+Ir2AXUKk/wDLSM4YD3Kt n/gFfXFfmt8MfF58E/EDQta3lY7W6UzY4zE3yyD/AL5LV+lCOsiK6EMrDIYHgj1rgrK0rnbRfu2F r4r/AGu/Df8AYvxMj1KNNsOrWqylh3kT5G/QIfxr7UrwT9sfwwdV+HNpq8abpdJuwWOM4ik+Rv8A x7y6mjLlmVVjzRPjXzKVGaR1RAWZjgAdSapeYa9E+APhkeMPi14fs3Tfbwzfa5h22xDfg+xIA/Gv QcrK5wqN3Y+6/h34ZHg/wNoejBdr2lqiSY/56EZc/ixb866KiivKbuemtNDz34+eLH8I/C3WJ4GI vbtRY2wX7xkl+Xj3C7j+FdF8P/C8fgvwVo2ixqFNpbIkmP4pMZdvxYsfxrxb49a4niP4z/DvwYj5 hivIr66TqCS/yg/RUf8AB6+ia0lpFIhaybCsvxR4htvCfh3UtZvD/o1jA87gdW2jIUe5OAPrWpXh 37YWvPpPwoWzR9rajfRQuPVFDSH9UWpiuZpFSfKmz5B8WeLL7xl4iv8AWdRk827u5TI3PCjso9gM AewrK8z3qn5h9KPMr09jzLPdlvzKPMrc+HHguf4keMtP8PW11HZzXnmbZplJVdkbPyB6hcfjXtU3 7FutW8TSSeJ9ORFGWYwvxSc0nZlKDaufPPme9Hme9exS/sx6mkjKmu2cig8N5TjNN/4Zl1X/AKDV n/37euj2U+xwfW8P/OeP+cPWva/2Zm3X2vf9cof5vVP/AIZl1X/oNWf/AH6etL9newbSfEvi2wdx I9qyQl16MVdxkflV04SjNcyOfE1qdWhNQd9vzPdKKKK9A+ZPGvBDf8X98UD/AKYSf+hRV7LXivgV v+Mg/FQ/6YSf+hRV7VWVPZ+p24r4o+i/IZOnmQyIeQykfpWT+yP4yh1fwde6DIQL/SZjjcfmeBid p/Ahl9vl9a292fvdPUda+RPh/wCN5vh/4/F4szpatK9tdhCRuiLcn8CA3/Aa5sXHnSjc9DK5cnPJ K9v+CfowrrJyrBh6jmuf8f8Ag218f+EdR0O8AVLqPEcmMmKQco4+jAfhkVX8J+IrZ7MQSvFAV5QZ 6g85Jrpo545lBR1cMMjaeteJUpypSsz6mjXhiKaknufmZrmlXfhzWL3S7+IwXlnK0MsZ7Mpx+I9D 3Fbfwsk/4uX4VH/UUtv/AEYte4/tkfDUQtaeNbGPAcraagFHfH7uQ/8AoB/4BXgfwtuFj+JfhVmP y/2pbf8Ao1a7Iy5oXOdw5ZWP0mooorzD0j4f/ayfb8Yrsf8ATpB/6DXjfmV65+1vJt+Ml4P+nS3/ APQa8Y86vUp/Ajzai95lvzKXzPeqfnUeaKu5nYq+ZR5lVfMo8ypNeUteZX6Jfs8+MD40+Eeg3cj7 7q3i+xTnPO+L5QT7lQrf8Cr85PMr6n/Yb8ZCPUfEHhiaTAmRb+3Un+JcJJj3IKf981hWV4m1P3ZH 13WD498Np4w8Fa3orjP220kiTPZyp2H8GwfwreoriWh1H5Uy74ZXjkUo6EqynqCOor6j/Yf8M+be eI/EUicRolhCxHcnfJ/KP868T/aB8Njwh8X/ABLYomyCS5N1EO22UCTA9gWI/Cvsj9l7wx/wjPwZ 0Teu2fUA1/JxjPmH5f8AxwJXbUl7nqctOPvHq9IzLGpZiFVRksxwAKWvNP2jPGf/AAhHwh1y6R9l 1dx/Ybf13y/KSPcLvb/gNcSV3Y6m7K58xeCvGTePP2rbDW9xeG51NxBntEqMsY/75Ar7or81fgfq yaT8XfCVy7bU/tGKMn/fOz/2av0qresrNGVPZhXzZ+3BvXwb4cYH939vcEe/lnH8jX0nXif7X3h2 TXPg5dXMSb5NMuors467OUb8g+fwrOm7SRc1eLPhPzKPMqqZKPMr0Th5T2D9luTd8dPDY/6+P/Se Svtjxtq8a2oso2DSscvj+EV+fHwh8b2/w/8AiDpmvXQlaG1EwbyVDP8APE6AgE+rV7tJ+1B4Vldn eHU2ZjkloVyf/H6ulTi6ntJvY4cZUqqk6NKLd92et0VxngH4raP8Rbi8g0yO6ja1RXc3EYUYJIGM E+ldnXrpqSuj5GcJU5cs1ZhXivwQbPxC8f8A/X0f/Rsle1V4j8C23fEb4g/9fR/9Gy1lP44nVR/g 1fRfme3UUUVscR4j4DbP7RHiwf8ATvL/AOhxV7dXhngFv+MjvFo/6d5f/Q4q9zrGls/VndjPjj6L 8gr4V179zrmopnO25kGfoxr7qr4P8SSf8VFqn/X1L/6GawxOyPQynWU/kfV/7OvjhfHXhAaHezRj VNJRYYZHGGeL+AE98AFefQetenLdXOm3Crvki8psccGvhn4a+OJfAfi+y1RSxt93l3KL/FEfvfUj gj3Ar7w0u9sfE1raiSUmaRAbe6Q5WRSMrn9OamnP3ddUGLoctX3XZvbz8v8AI2dYuNH8ceG77Q9T YLDfQNC4btkcEH+8Dg/UCvgrSdHvPBHxd0zS79Ql3p2sQI/907ZVIYf7JGCPY19vafZXFjqFvDJG rpM+0owznHBI+leK/tceAl0HxN4a8bWUW2FporS8KjPzod0TH6qCv/AFrjqQhSlaD0Z62DrVcRBu qtYn1jXN6p4skt9QFnaW/myn5fmyOfpWtq2qJpdi05+Zv4Vz1/8ArVzHhm0fWNUl1G4PIOQvrWFC nHllVqLRfma4yvPnhh6LtJ7+SPkD9rKZpPjBdF/v/Y7fPGB9ztXjfmV7H+2A2341XgH/AD52/wD6 DXifmVpF+6jocXezLXmUb6q+ZR5nvVk8pU8yjzKreZmjzKk2LPmV3HwT8aHwJ8UvDurs+y3S5WG4 JPHlSfI5P0DE/hXn3mUeZSeqsB+utFcB8BvGY8e/CXw7qrS+Zc/Zhb3JJ582P5GJ+u3d/wACFd/X nNWdjqPj79s/wTLqHxE8HXVomJdYQaduA48xZBtJ/CX/AMdr630rTYdH0uzsLcbbe1hSCMeiqoUf oK5f4geAx4y1bwfd5Uf2Lqy37bu6iN+P++tn5V2VXKV4pCS1bCvjf9ubxv8Aate0PwtBJmOziN7c KP8Ano/yoD7hQx/4HX1vqPiGw0tHM9wgKjJUHJr8x/it42f4hfETXteYny7u5YwqTnbEvyxj/vlV rWnTknzNGMqkZXjF3Zh2WoS6feQXUD7J4JFljYdmU5B/MV+p/hHxFB4u8L6TrVsQYb+1juFA7blB K/gcj8K/KDzK+0P2JPirFqPh688F384W608tdWXmNjfAxy6j/dY5+j+1XVjdXQ4Ox9S1S1rR7XxB o99pd9H51neQvbzJ6oykEfkarw+JrGfUDarKM44k/hJ9M0658SadayFHuVLDgheax9lUTtysn6zR tfnVvU/M74leBb/4aeMtR8P6gp3275imxgTRHlJB7EfkcjtXMeZX3d8cvA2l/GCzeJ/3F5AP9Cvi nzxHup/vIfQ/UV8XeNPh34g8A3bRatYPHDuwl3GC0Mn0b+hwfavQdOcYpyRxUsVRrScYS1Rg+ZS+ ZVbzPejzKg6z6D/ZPbdq/iH/AK4Q/wDoTV9I180/sktu1jxFz/ywh/8AQmr6Wr1aH8NHxuZf7zL5 fkFeG/Ads/Ej4if9fZ/9HS17lXhPwDbPxK+I3/X2f/R0tVP44mVD+DV9F+Z7tRRRWxwnhHw/b/jJ LxcP+neX/wBDhr3evBPh63/GS/jAf9O8v/ocNe91jS2fqzvxnxx/wr8hVUswUdTXwL4lk/4qPVf+ vuX/ANDNffPORjrmvz/8VSD/AISfV8dPtk3/AKGawxWyPSyj4p/IqeZX0/8AsyfEQ6ppD+HrmU/b dOHmWxJ5aEnoP90n8mHpXyv5lbXgvxbc+C/E2n6za/O9rIGaPOBIh4ZD7EEj8c1x05+zlc9nFYdY im4denqfpJp/iITSRG4l3KDwJYssh9dw61Y+KPg+H4jfDrWdF4Z7q3LW7/3Zl+aNv++gv4Zqn8P7 yy8UeH7a9s3W90u+iE0MwwGUEdCOoYHII7EGu1tbdbO2jhT7sY2iubEOHN7gYGNZQ/e6/nc4pll1 tdFs7vdHMYIzPEpwyNsBYH3zkV2FhCkEYjjjWKKNRGFXPJH8R9+n5VkaMRJqV/PKB5rSlFz1AHYV 0CrtGKVaTSVPoisLTUpSrvdv8Oh8C/tjNj423g/6c7f/ANBrxDzK9o/bMbb8cL3/AK8rf/0GvDvM q4fCjrluWfMo8yqvmUvmVZJR8yl86q3mmjzKg05Sx5lL5ue9VvM4o8ygOVn2d+wT428238R+FJn5 jK6lbqT2OEkx+Ij/ADNfXdfmF+zf44HgP4yeHL+WTyrSaf7HcHt5cvyZPsCVb/gNfptdX0NnE7yy KoUZwTzXNOLctOpfMoxvImZgqlmOABkk1xninxMZJBBY3H7vb+8ZO59M1X1DxtcXlvJDHCkSuCpb JJxXN16mGwjg+aoj5fH5kqkfZ0Hp1ZwPx28Vnwp8M9WuEk23V0v2OE553ScEj3C7j+FfD3nV75+1 54s8/WtH8PRPlLWI3cyj++/yqD7hQf8AvuvnnzKWIlzTt2O/LKLp4dSe8tSz5hrT8O+JL7wrrVpq umzeReWr70bt6EH1BGQR3BNYfmf5zS+ZXNc9VxurM++fhn8S9N+JWgpe2brFeRgLdWZbLwv/AFU9 j/XIrr6/O7wv4v1Twbq8WpaRdyWl1Geq/dde6sOhB9DX1H8Of2odC8RxxWniELoeo8Aytk20h9Q3 VPo3HvXqUsQpK0tGfJYzLalJudJXj+KPbqZcW8V1C8U0aTRMMNHIoZSPQg021u4L63Se2mjuIXGV kiYMrD1BHWpa6zxNjhtW+CHgjWXZ5/D9tE7HJa2LQ8/RCBWbH+zl4CjYN/Y8jY7NdzEf+hV6XRUe zh2OhYmtFWU397MTwz4J0LwdHKmjaZb6f5uPMaNfmfHTLHk/nW3RRVaLRGEpOTvJ3YV4L+z+2fib 8SR6Xh/9HS17XrHiDTPD9uZ9T1C20+EDO+5lVB+p5rwr9m++g1L4ifES6tpVmtprnzYpF6MrSykE fUVjP44o9ChF/V6ztpZfmfQlFFFbnnHgHw6b/jJ3xkP+naX/ANDhr3+vnz4cN/xlF40H/TtN/wCh w19B1hR2fqz0Md8cf8K/IK/PXxRJ/wAVNqw/6fJv/QzX6FV+dniqT/iqNX/6/Jv/AEM1z4rZHpZO ryn8ip5xo841W8wbaTzB61559Pyn1N+xz8UJ7PVpfB00zYuCZrLB53Dl4x9cbvwavt+3aRoUMgCy Y+YDnFfkToevXnhvWrLVNOma3vbOZZ4ZF6qynI+vSv0R+HXxTj8YeG9N17TZG8q5TM9mzfLFKOHT PXg5+owe9V7N19Fujz6tWOBftJXtL8D2JLWOOVpAg3E7unc9TU1Y/hbVDqWnFn/1iOQRnPuK2K4K kZQk4y6HoUZxqU1OGzPz3/bQk2/HO+/68rb/ANBrwnzq9v8A21n2/Ha9H/Tlbf8AoFeD766o/Cht alnzqXzqq7/Q0ebVCsyt5ho8yq240bjSubWLPme1Hme1VvMx3o3nrRcLItLMVYMpIIOQRXsC/tYe PNqhp7GUqMb5LbLH3PPWvFdxo3GqjOUfhZjUoU6tlUjex7V/w1d46/v6f/4C/wD16P8Ahq7x1/f0 7/wF/wDr14r5h4o3mq9tU7mP1LD/APPtfcb/AIq8V3/jLX7vWNTkWS9uiC7IMKMAKAB2AAArJ8yq 3mH1o8w+tZ3b1Z1KKirJaIs+ZR5ntVbf3o3mlcrlLW+jzPaqu40eYelO4uU6DQfGWueFZN+kard6 eepFvMyqfqOh/EV6JpX7UvjvTUVZru01EDvdWy5P4ptrxzzDR5h9auNSUdmY1MPSq/HFP5H0NB+2 L4hUfvtD0yQ46o0i/wBTT2/bH1zaQugaeG9TJIR/OvnbzDik8z3/AFrT6xU7nN/Z2F/k/M921D9r jxhdZ+z2ul2Y/wBmFnP/AI839K5HWPj1471zcJvEVzAjfwWgWAfTKAH9a848w0bzUOrOW7NYYPD0 /hgvuL95qNxqExmuriW5mPWSZyzH8Sa6f4f/ABU1v4Zy3smitbhrxUWX7RFv+7nGOePvGuJ80+tH me9QpOLumbypwnHkkro9q/4au8df39P/APAX/wCyo/4au8c/39P/APAX/wCvXinmHNL5p9av21Tu c31LDf8APtfcegaP8ZPEGieNtS8U2zWv9q6gjRzFocpglScLnj7g/Wuq/wCGrvHP9/T/APwF/wDr 14r5ho8w+tCqzWzLlhKE3eUEz2r/AIau8c/39P8A/AX/AOyryW+1CTUL64upsebPI0r7RgbmJJ/n Wf5h9aPMNTKpKW7Lp4elRv7ONrlnzBR5gqt5nrR5hqbm1izvFdv8P/jL4j+Gdtc2+jTw+RcOJWiu I96hgMZHPBIxn6CvP/MNHmmmpOLuiJ04VFyzV0e9ab+2T8Q9KkleCbTQZPvK1pkf+hVof8NyfEv/ AJ66T/4Bf/ZV86+YfWjzDUytJ3kOFONOPLBWR2PxG+JGr/FLxNJr2uGA37xJETbxeWu1RgcZrl/M FVvM96XzjRsXYseYKN4qv5h+lJ5hp3FYr+Z70eZ71B5nqKPM9qk1Jw27vS+Z05qt5ntTvMoAm3e9 fVf7QXwv0nx94V+BvjPwHoVhpI8ZW0ei3lnpkIihXU1kCH5V7s7SDPXEQr5N8yvtP9i346/D3Qfh vceH/iVq66cvhfXovE+grIrsZpvJkRo02qfunnBxky8dOOWu5RSnFXsb0VGTcZdT0NPCVlY/tXa3 4K+Ftr4W0D/hE/BL21/daloy3aXkuYWlZlBXMuJIxuOcbXBB3EV88/DH9kKX4g/CnSfiJf8AjjR/ Cvhma8nttRutUXaLJUO1GBLDzWdsKFGOo5Nbf7I/x00XTfj58Q/GfjrW7fRf+Eg0bUD51xvZWuZ7 iKQRjapPQNjjotY+ufEvwzcfsF+H/BUWtQv4qg8UNfTaWofzEgKzgOTjbjLL37iudKpB8sfLX77m 75Jrmfnp91iLwz+y3oV54Tv/ABh4m+Jdn4a8Gvr0ug6NqiaZLeNqciswWby0YeXGQrNkkkbW46Z9 a+HX7OWufBb40+MvCfh/xdoOr6ra+Dri91OXVdBeWGCNnj2xIrPy7KQ28EqBlSD0q9+zVqFn4J/Z TtB4w1jw1oiax4ie/wBCi8fWP2+xkihRVea1hjdZFcSHlmO3pgfOSdbSdck+DPx68a+J/if4/wBL 1qDx14HkuNH160iZLa6V3jWKJEUHZhUBHUFSDkkms5VKknKN7/r+H3lxpwSi7f1954F4B/ZLtvFH wf0L4ma98Q9I8IeFb65mtrqS+t5HlgZJDGixop/fM5UnA27VBOTg10Wi/s4+Ivgn+1h8PfD2na7o 2rHVguoaPrVzZGe0mjKScyQbuvynGG7qwYduf8ZfErw1f/sJ+BPBltrUEviix8SzXl1pSh/MjhP2 rDk7duPnTv8Axj3x614i+O3gG7/aG/Z41yDxRZvo/h3QobXVboJJstJVicFW+XOckDgHrWspVde3 vdPuM1Gnp306/eeKap8NdE8WfHT4l2nj34iaL4HOlarc/aLtNMkZLqTz3Vxb26HIAIztyTg98GsP 9oD9n+f4If8ACMaha+ILTxX4Z8TWbXmlavaRND5yLtLBo2JKkB0PU/e9QQPo/wCGvxc+Hv8AbXx4 u9L8YeH/AAl4+1fxNcXugeLNasPtEX2Fpt37osjbTjfwRkl0ODt48+/bb+M3hr4reC/hTDo3jEeM tV0mC+t9UvnszaySS5hUTGLaAiyGNmUDnbjODVQqVPaKNtP+B6fqKVOHI31/4Pr+gfs5+AfA/gv4 B+K/jb480BPF32G+XStG0K4fEEs5CZeQdGGZB1BAEbnBJXGL+0V4l8ReJvAdjPq/wA0/4Zqt6jjx Bp+iS2KSoUfbBkoFOSS2c87RgDnN39nT4peA/EnwK8WfBT4i61J4Vs9SvV1TSfEHkGWO3nATKSAd BmNeuAQ7jcp2mu0/aP8Aih4dj/ZVsvAcvxch+KXi4a9HffbIklbbbhHAUs2QAuR1bPzcCp95VdVd 389vyHZOno+nlv8AmdD8WvhL8NbT9rj4L+HtR0fTdA8K6rodvPfW9qi20VzcE3HliQrj77rEhPUg 4z3rjv2xdVu/Btpq/hHV/gP4Z8H28l0E0PxTpNsIy0COG4kQbZHZFAIJBUMcrnBDv2kvFXws+PPx y8AW1z4+j0zwzD4WSxutctbZ5VtbpGmZEdCoJBJUHpw3UdavfFL4oeE/Av7KuvfDW6+Kkfxj1vUr uFtIaK3crpUUboxYyuWI4VgF3ZG7AG3cazhzJwbTb7a99/8AO5cuVqaVl93bY8y/Yw+D/hz4n+ON f1fxlHJc+FPCWlSaxe2kZI+0lfuxnBB24DscHnYB0Jqr8VP2l/C/xG8H6noNj8HPCPheV3j/ALO1 XSoRFdWkauGIYqo8xmUbSTgcnj0T9jP43eHvhH461uw8ZCVfCHinS5NI1CeFSzW4b7shUAkrgspw CRvzzjBq/Fj4K/DHwH4T1PVvD/xm0/xjqPnRjTtHstPdZJI2cbjK+4hCqZPTkjtnFdLt7Z89+lt/ 6+8wX8L3fO57x+1Z8G9U+Mvx6+E3g/wzBa2t5qHg+1llmZRHFCivMXlfaOgA9Mk4A614t8QP2YNL 0n4d654x8B/EXTfiJpvh24jttcjtbKS0ls2dtquockSxluN6nB5IyAce/wCsftaeAfCP7UHw28VW +rrrHhyDwbHoOqXdjE7tZyGR2ztIBbawTOATtJxk8Hm/jl8YLpfAOtWs/wAf9B8b6BqE8EZ8OaN4 fhtru/tvPUuskqIvksqAnOeSMcZrmpyqx5Y7L/g69P8AI3nGnLml1/rz/wAzz74e/sj+GPipY2en eGvjFouoeO7zTv7Qh8Orp8wQfJvMTXGcK69CNpIweMc1gfBv9k3Vfi94H8QeJB4j0zw5BoGqLY6k uq/u47eEKGlnaTOPkB+73x1FfZWiftLfDfwf8TND1LSfitoOkfC2WzWC08H6RogjkhmMWC904j3I oIz1ByVGMbiflzwv8VfCdh+yr8dPDU2u28eva7rsVzptjh99zELiFi6nbjG1W6kdDVRq1pX36dPP Xov66ilTpK3z/wCB1Zo2Hw9uvC/7Pvxyh8K+LfDvijwdpl5Yxz6j/ZJNxeFvJOYJd58sKz7cEN91 iCM5pmn/ALDNjbx+CZ/EvxW0Xw5D4xsLafSIZrOSS4nuZlVvJ2bgAq74x5hbBLgYFc78JPiX4Y0H 9jn4weFNQ1mC18Raxd2j2GnsG8ydUeIsVIGOArdT2rp/jd8XvB/ibxD+zXNpviC2u4PDenadBq7I r4snje3MgfK84CN93P3aq9VSaT6728kTam4pvttfzOS0b9j3U08d/EfR/FPiSy8N6F4Bjjn1jW1g e5zHKpeDyoVIZi6AtjIx068V23h/9nHQvhL8TPgZ4jsPHdv4wtPFXiKxk060GkS2xmtBKpkmYuzK pUtGpjPzfP7GvY/CvjPQvEXxx/aA+IEOv6b/AMK01HTLPTRqusQ+bot3dmCFFinhJWSUrlwFTHDN k8rniPiRHqFn42+CfxU1Hx14V1r4YaP4htdKt08M2T2dlpARxIyrCS7Y2RHJJJ+RRjGKz9rUk7N9 P0223uX7OEVdLr+v+RZ+NX7H9r8Wvjd8SDovj/QoPGyl9Tg8HQwMXFuEQLvlBCo7ZU7QrYDqSeeP BvhP+zDb+MPhvJ8QPGnjjT/h34RkvP7Psby9t3uZLycZyEjVl+UEMM5J+R+AFzXsfw0+OPgTSf28 vH/jW+8T2lv4Wv7O4jtdUkWQxysywBQMLu/hbt/Ca5TwL4q+H3xp/Zb0X4VeJfHFt8P9c8L6xLf2 d5qMDSW15BI0rNyuMMDM3BOflXGcnbUZVYRUdbadNu/6ClGnJt9deu5z0P7FOvp+0Fo/wwu9fsY4 tZsX1PTvEFtE01vc24jdwwXIOTsIIzxwQSCCeT8A/s63PjvSvizepr0FmPAFpJdSo9uz/bQnnfKu D8mfJ6nP3h719EXH7WHw90v9qz4Wz2WoTXXgbwboreH311oGXzXaFozMExu8sHy+2fvkAjGYdL17 4P8Awh8J/HvTbH4oWfifW/GukXctiLe0kWBFIm8uAyAENMzTcjgAKDxmn7WskrrWy6eev4C9nTvp tr18v8zzO1/Y/wBE0fwH4U13xz8VdL8E6h4osRqOl2Vzps08DQlA6+ZcKQqMVZTtxnnAzXO/Db9m nT/EXw3/AOE/8bePbH4f+Ebq+bTtMu57GW7lvphuBKxIQQgKsN3+y2QAMn6C+APxS8KeBfhzY6X4 4+MPhrxn8NpdKDXHhDVNLkl1GzmaLJt4hgkhHJUEkrgZUL1FD4H/ALSGjX/7P+neBNH+Ien/AAr8 Q6BqVxJazeIdMjvba9sZZZZFQsyMqOvm4JHJ2DqGJCdWtZ+vbpr5f5jVOlp6f11/yPlX44/BzVvg V47k8N6pdW+oJJbx3tlqFmSYbu2kzslXPI5DAj1U8kYJ8/LH1r1n9qbxxe+NviZHPfePrX4jyWWn w2aa1Z6YthAAC7mFEUAMqtI3z45zXj/mCu+m5OCctzjmkpPl2LG40bj61X8wDvR5i1oQV/MpPMPr VfcfWjcfWguxY8yl8yq2aM0BYseYfWl8yq24+tG4+tAWLPmUnmH1qvuPrRuPrQKx7l4E/a28X+Cf BOn+FJ9K8M+LNE013fToPE2kR3psS53N5TEgjnJ5z19MCuF+KXxc8T/GTxP/AG74q1AXt4sK20Mc caxQ20K52xRRqAEUZPA7kk5JJrh9xo3Gs1ThF8yWpblJqzehZ8zP0o8yq+4+tG81oSWPMo8yq240 bj60AWfMo8yq248Uu4+tArFjzKPMqtuPrS7jQMseZR5lV9xpNx9aBWLPme1Hme1Vtxo3H1oCxa8y k8yq+80bjQBY8w0vmVW3GjcfWgLHrHwk/aN8U/B3R9V0XTbfR9b8O6pIkt3oviCwW8tJJF4D7Gxh sAdDzgZ6DEHxa/aE8WfGS10zT9XfT9N0LTCzWWiaLZpZ2VuzfeZY16t7knGTjGTny7eaNxrP2cOb mtqXzSty30LPmUeYKrbjRuNaEFnzKPMqtuNHmGgLFnzPSjzBVbeeKN5oAs+YKPMFVtxo3mgLFnzK XzF9aq7zRuNAWId1G6mFvwo3UrmpJupN1N3Um6i4WJN1Jupm6l3UXCw7dRupm6l3UXCw/dRuqPdS 7qLhYfuo3VHuo3UXCxJuo3UzdSbqLhYk3Ubqj3UbqLisSbqN1M3Um4dO9Fx2JN1G6o91LuouFh+6 jdTN1G6i4WH7qN1M3UbqLisP3UbqZuo3UXHYfuo3UzdRuouFh+6jdTN1G6i4WH7qN1MzRuFFxWH7 qN1M3UbqLhYfuo3UzdRuouFh+6l3e9R7qN1FwsV93fvRuoopGgb+vajdRRQINwo3UUUDDdRuoooA N9G6iigQbqN1FFAxfMPWk3e9FFAg3UbveiigBd1JuoooGG6l3e9FFACbqXefWiigBN1G6iigQbqX d+NFFAWDzD170bj60UUDE3Uu6iigA3+9G/tRRQKwbqN1FFABuo3+9FFAWDdRu96KKAP/2Q==