DC GIS 20130704 vector digital data DC GIS DC Geographic Information System vector digital data AmbulatoryPt DC GIS http://dcatlas.dcgis.dc.gov/catalog/download.asp?downloadName=AmbulatoryPt&downloadTYPE=ESRI http://dcatlas.dcgis.dc.gov/catalog/download.asp?downloadName=AmbulatoryPt&downloadTYPE=KMZ Ambulatory Surgical Centers Ambulatory Surgical Centers. The dataset contains locations and attributes of Ambulatory Surgical Centers, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by the DC Department of Health's (DOH) website identified Ambulatory Surgical Centers and DC GIS staff geo-processed the data. All DC GIS data is stored and exported in Maryland State Plane coordinates NAD 83 meters. METADATA CONTENT IS IN PROCESS OF VALIDATION AND SUBJECT TO CHANGE. This data is used for the planning and management of Washington, D.C. by local government agencies. en 20130704 publication date Complete As needed -77.049036 -76.958920 38.981919 38.868359 395751.322500 403559.334500 133394.025000 145999.018000 none health Health Care Private Facility Surgery Prevention Treatment Washington, D.C. District of Columbia DC DC GIS DCGIS D.C. Office of the Chief Technology Officer GIS Data Coordinator mailing and physical address
441 4th St NW, Suite 930 South
Washington DC 20001 USA (202) 727-5660 dcgis@dc.gov 8:30 am - 5 pm DC Department of Health (DOH) website ESRI ArcCatalog 9.2.4.1420 Feature Class Acknowledgment of the DC Geographic Information Systems Program (DC GIS). The District of Columbia Government makes no claims as to the completeness, accuracy or content of any data contained hereon, and makes no representation of any kind, including, but not limited to, the warranty of the accuracy or fitness for a particular use, nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. Data believed to be complete and accurate, subject to change. Digital version compared with original source data for accuracy and completeness. Validated by source and/or responsible agency. In process of validation by source and/or responsible agency. Data believed to be complete and accurate, subject to change. Digital version compared with original source data for accuracy and completeness. Validated by source and/or responsible agency. In process of validation by source and/or responsible agency. N/A DC Department of Health 2013 DOH website Site visited march 2003. http://doh.dc.gov/service/ambulatory-surgical-centers-directory website 2003 publication date DOH website locations and attributes Data Collection: Through the application's functionality and usability requirements, OCTO GIS staff compose a list of data layers needed for the application. From this, staff determine the appropriate source and location for each layer, and assess the effort needed to get it. Some layers, already part of the DC Atlas, are incorporated into the data store. For DC agency data, agency liaisons ask DC personnel about data availability and acquisition. For third-party data, OCTO-GIS evaluates options and either finds alternatives, purchases, or licenses the data. In some cases, staff create data from existing sources and then add required attribution. 5/31/03 D.C. Office of the Chief Technology Officer GIS Data Coordinator (202) 727-5660 dcgis@dc.gov 8:30 am - 5 pm Data Preparation: After the collection, the data team prepares the data for qa/qc and inclusion in the data store. This step involves: 1.) configuring the datasets into a common form; 2.) geocoding tabular data using a common address base; 3.) generating or converting paper documents into digital format; 4.) populating required fields; and 5.) resolving data duplication and conflicts. For geocoding, staff use a derivative of the Office of Tax and Revenue (OTR) owner-point database and the District Department of Transportation's (DDOT) street inventory system (SIS) street centerline file as the address base. Through automated procedures on the owner-point derivative file, personnel clean and standardize the irregular premise address information into street number, name, type, and quadrant fields. Also, staff use the merged SIS file containing the five centerlines classifications (street, alley, drive, service road, and ramp). First, staff match tabular data to the standardized owner-points. Then, the rest are matched to the street centerline file. After this, staff compose a list of the unmatched records needing further research. Since not all of the records geocode, staff note the final matching figures (number of hits, rejects, and the total). For web links, team members check the validity of existing links and find matching web sites that directly represent the feature. Staff use several web search engines to find appropriate web links. DC government sites are primarily used, when available. To eliminate data redundancy, staff identify possible conflicting layers and duplicate features. In some cases, staff pick the best source. In others, the attributes in the multiple layers are consolidated. Sometimes, staff map the conflicting layers and investigate feature clusters as areas of potential duplication. Where applicable, team members move points to the center of the corresponding buildings. Staff then select the building footprints and assign the appropriate GIS_ID value that links the points with the appropriate building polygon(s). 5/31/03 D.C. Office of the Chief Technology Officer GIS Data Coordinator (202) 727-5660 dcgis@dc.gov 8:30 am - 5 pm Data QA/QC After data preparation, the data team performs qa/qc. Various processes check the following parameters: 1.) spatial and attribute accuracy; 2.) data usability; 3.) data dictionary adherence; 4.) specialized metrics, such as connectivity and directionality; and 5.) data load success. These checks are, as follows: Visual - staff perform a structured visual check of the data, using on-screen, plotting, and customized routines, and, at times, comparing it to the source documents. Edge-matching - For grided datasets, staff review the spatial capture, connectivity, and attribution of data across tile boundaries, where applicable. Automated - Staff compare the data to documented standards and source files through automated procedures and reports. Specialized - Staff review more specific data parameters, such as directionality, connectivity , and topology. Edit Verification - Staff ensure that previous errors are fixed to specifications. Field Verification - Occasionally, through field work, team members compare the GIS data with the real world. Data Loading - Staff evaluate the success and evaluate the process of loading raw data into a structured database. Since most of the data use addresses as the spatial reference, staff compare the data against base layers (buildings, roads, street centerlines, owner-points, parks, and orthophotography) and move features where needed. In some cases, OCTO GIS personnel produce maps and reports for source agency review. Through an iterative process, staff modify and enhance the layer to agency specifications. For some datasets, the agency endorses the final product for data load and publication. 5/31/03 D.C. Office of the Chief Technology Officer GIS Data Coordinator (202) 727-5660 dcgis@dc.gov 8:30 am - 5 pm Final Data Preparation: For final preparation, staff ensure all of the needed items are present (unneeded items are deleted), the metadata is complete and current, the shapefile is in the proper projection, and a spatial index exists. If not already done, a GIS_ID (unique id for features in the layer) is computed with automated tools. 5/31/03 D.C. Office of the Chief Technology Officer GIS Data Coordinator (202) 727-5660 dcgis@dc.gov 8:30 am - 5 pm Data Load: After final preparation, OCTO GIS staff load the data into the application's test database, where SDE handles the spatial data and ORACLE manages the attribute information. First, staff add primary key and name fields to the layer. Second, personnel register the layer into the appropriate tables and establish the unique feature-ids (the link between the spatial object and its attributes) specific to that layer. Then, staff populate feature, search, address, web url, contact, data source, and other tables, where applicable. For point layers, team members calculate each feature's geographic extent and populate the features table. Lastly, each layer is intersected with the base geography (2002 Advisory Neighborhood Commission areas, 2002 wards, zip codes, neighborhoods, and neighborhood clusters) to populate the "what's-within" tables for the web reports. Views are refreshed when needed. 5/31/03 D.C. Office of the Chief Technology Officer GIS Data Coordinator (202) 727-5660 dcgis@dc.gov 8:30 am - 5 pm Data Load QA/QC OCTO GIS performs spatial checks comparing the test SDE database with source files to check for completeness, spatial integrity, and proper attribution. First, staff compare the test database contents with documented standards. Then, team members check the geography and attribution, as well as compare dataset parameters between both layers. The data team performs attribute checks on the ORACLE database to ensure the existence and validity of views. Again, staff compare the database contents with documented standards. For critical views, personnel check the view structures and data against source files and documentation. 5/31/03 D.C. Office of the Chief Technology Officer GIS Data Coordinator (202) 727-5660 dcgis@dc.gov 8:30 am - 5 pm OCTO Deleted several centers no longer operating. 20130704 Metadata imported. withheld 20130715 15574300 Vector Simple FALSE 6 TRUE FALSE coordinate pair 0.001000 0.001000 meters North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 GCS_North_American_1983 NAD_1983_StatePlane_Maryland_FIPS_1900 1.000000 Explicit elevation coordinate included with horizontal coordinates D.C. Office of the Chief Technology Officer GIS Data Coordinator mailing and physical address
441 4th St NW, Suite 930 South
Washington DC 20001 USA (202) 727-5660 dcgis@dc.gov 8:30 am - 5 pm Downloadable Data 0.000 0.000 Most DC GIS datasets can be downloaded from "http://dcgis.dc.gov" on the data center page. Orders can also be made by contacting OCTO GIS at "dcgis@dc.gov", especially for datasets not available for download. Acknowledgment of the DC Geographic Information Systems Program (DC GIS). The District of Columbia Government makes no claims as to the completeness, accuracy or content of any data contained hereon, and makes no representation of any kind, including, but not limited to, the warranty of the accuracy or fitness for a particular use, nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. 20130704 D.C. Office of the Chief Technology Officer GIS Data Coordinator mailing and physical address
441 4th St NW, Suite 930 South
Washington DC 20001 USA (202) 727-5660 dcgis@dc.gov 8:30 am - 5 pm FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile en 01/07/04 20130715 15574300 FALSE 20210623 15271000 20251120 12144100 AmbulatoryPt 395907.591000 399977.720000 136583.077000 137606.426000 1 002 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_StatePlane_Maryland_FIPS_1900 <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/10.8'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Maryland_FIPS_1900&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-77.0],PARAMETER[&quot;Standard_Parallel_1&quot;,38.3],PARAMETER[&quot;Standard_Parallel_2&quot;,39.45],PARAMETER[&quot;Latitude_Of_Origin&quot;,37.66666666666666],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26985]]</WKT><XOrigin>-36747100</XOrigin><YOrigin>-29091500</YOrigin><XYScale>1000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.002</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26985</WKID><LatestWKID>26985</LatestWKID></ProjectedCoordinateSystem> Published 1.0 XTools Pro Metadata {4C09F7F1-3CDC-4C96-BA0A-DA7218FA32EE} 150000000 5000 FGDC Office of the Chief Technology Officer (202) 727-6857 (202) 727-2277 200 I Street SE, 5th Floor Washington DC 20003 US dcgis@dc.gov 8:30 am - 5 pm GIS Data Coordinator ArcGIS Metadata 1.0 Office of the Chief Technology Officer (202) 727-6857 (202) 727-2277 200 I Street SE, 5th Floor Washington DC 20003 US dcgis@dc.gov 8:30 am - 5 pm GIS Data Coordinator DC datasets can be downloaded from "http://opendata.dc.gov". Feature Class <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Ambulatory Surgical Centers. The dataset contains locations and attributes of Ambulatory Surgical Centers, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by the DC Department of Health's (DOH) website identified Ambulatory Surgical Centers and DC GIS staff geo-processed the data. For further information, visit </SPAN><A href="https://dchealth.dc.gov:443/node/162782" STYLE="text-decoration:underline;"><SPAN>https://dchealth.dc.gov/node/162782</SPAN></A><SPAN>.</SPAN></P></DIV></DIV></DIV> DC Health DCGIS DC DC GIS Private Facility Treatment Surgery Health Care Prevention health Washington DC DC GIS District of Columbia Health Surgery health Health Care Prevention Washington D.C. DC Private Facility Treatment DCGIS hospital Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 Ambulatory Surgical Centers 2025-11-21T00:00:00 DC Health 899 North Capitol Street, NE Washington DC 20002 doh@dc.gov US (202) 442-5955 (202) 442-4795 8:15 am-4:45 pm Office of the Chief Technology Officer (202) 727-6857 (202) 727-2277 200 I Street SE, 5th Floor Washington DC 20003 US dcgis@dc.gov 8:30 am - 5 pm GIS Data Coordinator GIS Data Coordinator 1 -77.047182 -77.000257 38.906316 38.897088 Washington DC This data is used for the planning and management of Washington, D.C. by local government agencies. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This work is licensed under a </SPAN><A href="https://creativecommons.org:443/licenses/by/4.0/" STYLE="text-decoration:underline;"><SPAN>Creative Commons Attribution 4.0 International License</SPAN></A><SPAN>.</SPAN></P></DIV></DIV></DIV> DC Health 899 North Capitol Street, NE Washington DC 20002 doh@dc.gov US (202) 442-5955 (202) 442-4795 8:15 am-4:45 pm DC Health Office of the Chief Technology Officer (202) 727-6857 (202) 727-2277 200 I Street SE, 5th Floor Washington DC 20003 US dcgis@dc.gov 8:30 am - 5 pm GIS Data Coordinator Office of the Chief Technology Officer Last metadata review date: 01/07/04 Data believed to be complete and accurate, subject to change. Digital version compared with original source data for accuracy and completeness. Validated by source and/or responsible agency. Data believed to be complete and accurate, subject to change. Digital version compared with original source data for accuracy and completeness. Validated by source and/or responsible agency. Data Load QA/QC OCTO GIS performs spatial checks comparing the test SDE database with source files to check for completeness, spatial integrity, and proper attribution. First, staff compare the test database contents with documented standards. Then, team members check the geography and attribution, as well as compare dataset parameters between both layers. The data team performs attribute checks on the ORACLE database to ensure the existence and validity of views. Again, staff compare the database contents with documented standards. For critical views, personnel check the view structures and data against source files and documentation. Data Load: After final preparation, OCTO GIS staff load the data into the application's test database, where SDE handles the spatial data and ORACLE manages the attribute information. First, staff add primary key and name fields to the layer. Second, personnel register the layer into the appropriate tables and establish the unique feature-ids (the link between the spatial object and its attributes) specific to that layer. Then, staff populate feature, search, address, web url, contact, data source, and other tables, where applicable. For point layers, team members calculate each feature's geographic extent and populate the features table. Lastly, each layer is intersected with the base geography (2002 Advisory Neighborhood Commission areas, 2002 wards, zip codes, neighborhoods, and neighborhood clusters) to populate the "what's-within" tables for the web reports. Views are refreshed when needed. Data QA/QC After data preparation, the data team performs qa/qc. Various processes check the following parameters: 1.) spatial and attribute accuracy; 2.) data usability; 3.) data dictionary adherence; 4.) specialized metrics, such as connectivity and directionality; and 5.) data load success. These checks are, as follows: Visual - staff perform a structured visual check of the data, using on-screen, plotting, and customized routines, and, at times, comparing it to the source documents. Edge-matching - For grided datasets, staff review the spatial capture, connectivity, and attribution of data across tile boundaries, where applicable. Automated - Staff compare the data to documented standards and source files through automated procedures and reports. Specialized - Staff review more specific data parameters, such as directionality, connectivity , and topology. Edit Verification - Staff ensure that previous errors are fixed to specifications. Field Verification - Occasionally, through field work, team members compare the GIS data with the real world. Data Loading - Staff evaluate the success and evaluate the process of loading raw data into a structured database. Since most of the data use addresses as the spatial reference, staff compare the data against base layers (buildings, roads, street centerlines, owner-points, parks, and orthophotography) and move features where needed. In some cases, OCTO GIS personnel produce maps and reports for source agency review. Through an iterative process, staff modify and enhance the layer to agency specifications. For some datasets, the agency endorses the final product for data load and publication. Final Data Preparation: For final preparation, staff ensure all of the needed items are present (unneeded items are deleted), the metadata is complete and current, the shapefile is in the proper projection, and a spatial index exists. If not already done, a GIS_ID (unique id for features in the layer) is computed with automated tools. Deleted several centers no longer operating. 2013-07-04T00:00:00 Updated list from DC Health 2021-03-12T00:00:00 Updated list from DC Health. 2023-12-15T00:00:00 Updated from https://dchealth.dc.gov/node/162782 2025-11-21T00:00:00 dataset EPSG 4.5(3.0.1) 6 20251120 AmbulatoryPt Feature Class 6 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. NAME NAME String 100 0 0 ADDRESS ADDRESS String 33 0 0 WEB_URL WEB_URL String 254 0 0 SSL SSL String 16 0 0 Square, Suffix, Lot (Property Identifier) OCTO PHONE PHONE String 20 0 0 MAR_ID MAR_ID Integer 4 10 0 MAR Unique Identifier OCTO XCOORD X Coordinate Double 8 38 8 MAR X Coordinates (Maryland State Plane Meters) OCTO YCOORD Y Coordinate Double 8 38 8 MAR Y Coordinates (Maryland State Plane Meters) OCTO SE_ANNO_CAD_DATA SE_ANNO_CAD_DATA Blob 0 0 0 GIS_ID GIS_ID String 50 0 0 OCTO GIS sequential identifier GLOBALID GLOBALID GlobalID 38 0 0 Global ID OCTO CREATOR CREATOR String 255 0 0 A user who created a record. OCTO CREATED CREATED Date 8 0 0 The dates a record were created OCTO EDITOR EDITOR String 255 0 0 A user who last edited a record. OCTO EDITED EDITED Date 8 0 0 The dates a record were last edited. OCTO LATITUDE LATITUDE Double 8 38 8 MAR Latitude (decimal degrees) OCTO LONGITUDE LONGITUDE Double 8 38 8 MAR Longitude (decimal degrees) OCTO LICENSE_NUMBER LICENSE_NUMBER String 50 0 0 WARD WARD String 20 0 0 SHAPE SHAPE Geometry 4 0 0 Feature geometry. Esri Coordinates defining the features. /9j/4AAQSkZJRgABAQEBLAEsAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAGQAlgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD7/lvi zGOEbm9ewp8Mfl/PIxL+lXIdHMKYVue5qKS3WKTY0m5+vSmdHNHuN87d04FNaYIM0kqorIpc5Y4F NvrNI41RnYkngLQHPHuSbgBlj16UxpN3fAqr5YVgMOxqOWSFm8pyyZ4JpD549yO41N55vItgT/ee rtnauVwoZj3Y1LZ2+nwx7YJU392arccNwDhJ4yvsKDN1V0Fj03vI34UXGlrMpAkZPpVxVIUZ5NFT cycm9zJbTL+MfubwkDoG5qPzNYt+sUc4/I1t80tIkwG1yaP/AI+dPcY7qM1Lb+JrBeGDQn/bBFbR w3UZ+tQy2NvNw8KH8KBEcWsWc/3LhT+NTJeQyZKSBgOuDWdP4Y0+fP7rYfVTiqTeE1toXWC8kjDc 4JoGjoA7SD5Rx60hjPc5rjLa48QJcNDFEXjQ4EhPBFawvtZtseZbrKP9mgLmzNI8Y+WIvT4RIUzI oVvSsCbxc9qhM1m6ke1Ml8cWQMKGYCSU4CjtQM6Ryij5ttUbuGK8jZFgU5HXGKIbm0kbLTq7e5rm fiX8SrPwDo4aPbcancDFtbqe/wDePtQM5bx5q2nfD+FWkkNzrEnMVurZ2D1avPtP0+71+afXNduG S3X5y0hwMegFJo+jy65dT67rtxuQHzJZJDx9Kz9T1S88e6lb6dp8LiyD7IbeMY3+5/zxVJWAdqGr 3/ju+h0rRopIrHdtSKP70h9T/nivUPCvw9ufAcKXP2dbi7A+Z+oT12+/vXQeAPBtl4E08KiLcarI MSzKMhP9hfb3711JhuLvPmN5aH+EdaQHJx+MJLzUIojbSiE/edh+lb8PiC1j+Vomj9yKv2+n2mnr wig9ct1rz7xz8a9C8Os9lp8C61q3QRR8xxn1ZhSEd63iLTobd55rlIYUGWeQ4AryLxh8dTNcPY+E LRridjsN/Ku4A+qD+tc3beG/FXxWvhJfs6WZO7yo12RIvsP6mvS9F8K+F/hlp7XN5JbiWMbmlncC NMepPU07DOH8KfCDWPFM39r+Ir6aRXO4tNJg/Qf/AFq63xN4+8I/B3TRDDta8ZcRqih5pf8AdHb6 15h8Tv2kL7VnlsPC48u2x8+pTLtUDp+7U9vc/gKyPh78B9f8bN/bWqiaC2mO/wC2XhJmnH+wp5I9 zgfWqAoa1448Y/F7U/sNoJrSzmbatnaEmWT2Zh/IYA7mvVPAv7O9tocMV74jDXMqjK6XbP8AKP8A ro46/wC6v4mu78J+H4vh7Y/ZNK0VYEIw8+d0snrubr+A4rbHioR8TW0kZ+lTcRp2K+VbxxR2sdpb IoWOKJQqqPQAdKmeJJPvIp+orNtfE1peTGJCQwGTmoG8T2txqH2C3nR7jG5gDnaPU0hlubT9Phbz HgiVv7wGDXF3eiaxfa9KbG4WDTuDukXP1xXYpbxs2+STzm+vFSs/GBwPagVjJTQDHGB9rkL45OeK a+m3sf8Aq7vPpuFX7pZZvkV/LQ9WHX8KdDF5K7QzN/vGgDL8zVbGzk2wrdzfwgNisG1m1xbia51S 137eUhj5UD613SQluT8o9TVW91i2sP3SgzzMMCNBlj/hTGc1b+PrRvlaMDbwdpHFXP8AhKNPvVUf aHgH061gaL8H7GbUp9U1WNhNLMZVto5DsXJyMjua71tH0+OHa1tCsa8crU6gU9P1CwSPal0H92PN a9u0dwu5HVlHUg1mSeFdKm6Q7D/sNimN4ZaGzkgsb+S039XxuI+lMC3qGvW2nyCCMG4um+7DHy34 1Sk0W517B1V9lvnItEPB/wB41l6P4FvNCuLme3vvtM0w5mm+/n6+lZ2qePpfDWoPY6jOsU6gN84+ Uj1BoA7+GCO2jCRosaLwABiq89z50giglCv3yK5qx8avqduJUtDcwH+OMHBrQh8W2q8PbvD/AMBo A1NOtri3jf7TL5zE8fSrnlo/VFP1FZtr4gsbyZYlkO89jUOveMLLQl2F/NuG4WJOWJpgaF7Y2K28 rTxxooU/N0xxXmXhvTNf8QXjyQypFpqysFmlQhioPb/Gu2tdN/tSRJ9WuUc/eW0VvlX6+tdHHsVA se1UHAVelG4jGXwjbiIL9om3Y5YNTdS0e4i00W1vqgsgxwZZBk1o3WoSW7FY7aSUr1OP5VZVRcQr 58S56lG5xQM5bQ/Cd5oa3Dwzx3E0mCJmOWP1q+1xrsP3oEmHsa31AUAAYHahmC9aLAczceJbm0UC 9sQqE4+bgE0i+KLFmDSWhUr0Ze1YfxP12z1Kw/sCBG1DUJ3X/R4GIKDP3iw6VB4O+EcOmzx319c3 jMOVtGnLJ/wId6QjqW8XW0hyk3lj+665rVXVrdrP7T5irCBku3AFNk0WwmXDWkRHsKzNY8K6TqUM NtdGZYlOVhjkIDfUdxTGcve6o/jTXAmmRF7aNNpuW4BOe3qK67SvDFrp8P7xBcSn7zNyKr2vg6HT vPFrdSRpIoUKQMJj0qJtB1aH/UaiGHo2RQBp3Wjad5bu9mpCjOEHJrIfStFl8sFLi2aTopVhj61X 1C917Q7WS6uHRraIZeQEEKPU+1Ztv8TzIMiS1nHqrijQDck8D2z8xXMq/XmqsngeZT+7vFP+8uKi HjxbiNfMtZUXOd0R61dsfGVgsbvcTtBEBvM12yoij6mjQDI1Dw7eaXCZZCjxZwWRun4VnLk8ck1w /wAW/wBp7wzo9m9npWopqN2HBeSJSYsA8qCeuemRXzx4y/a01zU/Mh0oppMB4Bg+/j/ePNFgPrLW te07w3AZdWvoLBQM4mfDH6L1/SvJ/Fn7UHh3R98elWz6lIOPMm+SP8utfH2teONS1y4eW6upZ5G5 LyOST+dZ9na6jrEn+jxSzLnl8YQfU9BTsB7P4s/aW8Q66XRLoWUHaO0HlgfiOa841DxzqN8xaS7k bPUlyaqQ+FUhBN/qEaEdYrf96358Cp47rRtKUeRp63Eq8ia8cv8AjsGBTGVrKbUNWuEW3S4uSzDP lhjjn17UUX3ji5kZY5LtkiLD93HhF69MLiigD9fv+BCozGm4sdufWsf7SgkCtJhc8tVweRcR7YLl N3qTTuEoqPUt+SnBwvHTijYN2SAT9KSGFo4wpbzCP4vWnUrkAMDsKZJbxTDDxqfwpxcL3pgmDcKw /OpAo3GgWUvOzYfVTWDqnh3U0lA0q52KR/y0PQ11u315p2aBaHMW9l4gsrdN88dxIB82B1pW8Raj ZjFzYsfUqM102aRsY+bBHvQOxgQ+NLKQhZQYm/2uK04NasrgApOv40y80uyvo2V7ZGyPvYxWBY+D dOjnwXuGbP3cnaKA1OtWaNlyJFI+tDTIvVs1z114PDAfZryWEg5AJyKin0vWbWWOWOdZwn/LNRjN IZ0m6ST7o2j1NKIR1Y7j71ydx4sv9JXdfWxSPONzDirFp8QLC46/+OnNAXOh+1KWKIpLD2wKdC0r Z8xQp7YNZa+K9NdkVZcu5wBjmrD6qrSrFGVMjfdXPNMZelWNlPmKrD/aFZF9p+n3EbxrapvYfeRe RV37M8vMr/8AAVpt5d2uj2M93cusFtAheSRuwFIDzHxTD/wguky6pqGoSBS223s/45m9M9hXluj2 N54416TVNTlDE8gMfliT0HoKl8SeIbr4reLDcYcWMTbLaHsq+v1NL4z1RNJs18Paay+dIB9qkXqv +x/jTSEV/EGtSeK9Qg0LR0ZrCOQRqsY5mf1+n/669F8MaDfeB7dUg0h3upCBPeSYwq9wvtWt8IPh 7F4S01NUv0H9p3CZjRhzCh/9mNdhrni6w0ONjdTBWAz5XBcj1I7D3OKGMgtPFlinyBVyvUg81U8T fFfQfCtmZbmRpbhv9XbR/ec/0rxLxT8Qk1nWJv7Fs0SRm5mAJC+/ufoMVo+Ffhq+pzHUdcuCd3zM 8pyT9BRZi1I9Y8YeLPizdG2tIm07TWO3yICQW/3m6n6Cu08I/B/SfCcKXWryLJKBuMeRx9fSotb+ Jnh74daeyW4CyqMcY3nH8hXzj4u+LXiX4tap/Zmk+dHaSybCkO4iQ9NvHLH2HFUM9u+I37UGj+F9 2keHoV1C7XK7bf8A1KN0wzj7x9hXj2j6H43+NXiFXljlvmQ71td3l29uD0Z26IPzY11Hgf8AZ5bw PCdW8Y/aIklcMIQgDp6KSudg7nqee1e9+HfHWjabYRafpkNnbWicrb2vy/iR1J9zzSuIp+A/gNof hV4L7VUh1rVYwGQFMWtuw7oh+83+034AV6LJfSzTDZEzg8GR+BWTB40sZuGBQ1dXxFp7rn7Qqj3q RmgrNtG7g+1NkjRwd6qw9xUMmoQRw+YXUJjO4nAqml5LqkYe2KiBukp6H6etAFfXNP0+WzmDRBHK nBj4b8MVx/hvwTdQzrdxuNPgcEPEy7nkHqTXeR2kcJ3HMkn95qS6kdYXaNPMkA+Vc9TQBiSeGZE/ 1N46/WoH03WIP9VOsg9M1prNeOqfK3mN94Ywq/41fXcFG45bHJFAjln1DXLP79oZB/sjNWrHxdDb 28k+pKtmE7yAiukjjZueg9azfEl5p9npky3KrM7qQke0M7t2Cj1pjOVHjx/Ed8YbYSWWnKCWunGG ceiL/Wui0e+0a1TFtMu9vvSSHLk+5rjdN+F83iSSx1PUpLrR5Yl+WCGXD7T/AAt2rrv+Fd6SIwsf nxsB94Pk0tQN+O4ik5SRW+hpl5Zi+jEbk+V/Eo/irnG8Byw82upOvoJB/Wobyy1nQbO4vZ9QtobC 1Qyz3M84jjiQdWZm4AoA66GBYfuoF4xxU/l7YXmcrFAn35pCFRfqx4H418feO/24pdK8+DwrZJdR JlF1nUoyI5GH8UMHDOv+0+Aewr5c8ffGvx38Vbtzquu3l5CM4WeXbDGPQRjCAfhVAfox42/aS+HH gNZI7zxVZ3F3H1t9PJuXH12/L+tfO/iz9uX4bx63JqMul6n4il2hI4A0cEK47nO5ia+M7TRrXVrr yRNqHiG5/wCfbS4S4Htu+6PzrrbH4J+M9UjUaV4Ft7BG4E2q3fz/AF2oP60WA971T/gp1dW8fl6L 4C022hXhTNcSuQPoNorjdS/4KbeOJCfK0Xw7Cvo9mHx+JevINa/ZV+KF1nzDpVquPuxxMcfma428 /Y98bMx8/VLBD7JigrQ91b/gpF47kkDiw8OBv9mxQH/0Koo/+Cg/iGabzLrQdIlkY7jJDEUb8w1f P0n7IvitTj+1rI+p21mXX7L/AI0suY7iym+hINAWR9l6f/wUgW6YNqXhWFH4BaGZ1/TmvQfC37eP g/WGRJ4bzT3PXy5lYD8Dg1+eEPwZ8faPh202O6Qf3JiP0rvPh74D0fxHqH9m+MNP1nwvcOQsGoWV obmJT3MmzJAz/s0WJ0R+o3g340aL4yWMaP4psZJ36Wt1MIZfybAP4Gu7bVtds9pns2ZSMhtmQR6g jrX5U+MvhL4m+DssV1Z6vDr2iv8AMs1u3zqvbcp/p+Ver/B39pvxj4JEKWepvPZZG/T74mW2cewP KH3Uiiwj9BLHxgD57XypZxRDJkkyoH51xuqfEK+8W3H2TQS1np7P5balKuGk7YiU/wAzV/4S/Grw 98aNOkjigSz1mBN11pNzhzt7vGf40/Ud67i60DTLzZ51jC2xgy4XbtI6EYoGZHhnQ9G8MqyRSpJe N/rZ5Tl2Pua6RZo5OVkVvo1Yer+GrCaKeUb4ZypYMrZGcdx6V5FF4q1i3ba2lSSHO1TaTh930FLY D2+8uLqOaNYIPNjI+Zh1B7VJbLIyrLcRRpc4wdnPFcTpNh4nuLKO4ObMuMiC4k+cfX0q/wCf4os4 2eS3EkS/ekyNo+p7UAdYTTXkWNcscCvG/FX7S3hzwSzLqd7DdTJw1vYYlkz6Eg7R+deI+M/2+lma WHRNBS2TkC4vJy8g9wq4FUB9O+OPE26zuNJsk+06jcRlRHjKxg/xP7e1eY6prXw08Bst14o1Gxkv IgGXTbAedMWHdgvA59TXyD4k/aS8ReIreWAXzwQyHLxw/Jv92I5P4mvLNT166vnJaQncegpWA+x/ iB+3kY43tfCeiwWEQ+Vbi9Amlx6hfuj9a+aPGXxo8Q+Nbt59S1Ka7djnLvx+A6D8BXEWuh3+oMP3 bJ7N1robHwjBZxiS5ZXb0c8fTFMDHW4vdWkIiWS4Y9doJrUtPCkrFTe3CQA9UT53/wAB+dab6ra6 dEVUgAdQvA/Kuf1TxUBkFtn+zQM6OOHSdHyY7ZJX7PdHefy6Cq2peLHkTY0uY16L0UfgOK4G88Tt KxVDls/U/kKqxrqGoMBHaSTZ/wCejBF/KgDpLzxRuXCkyP0wnP61lXGoXMgBldbZT/ePJ/rU+geE 9e8Sa4ujaVaTX18QC0WnxltuezNjj9K+qfhn+xjdRRwXXiA2+nSEAyL/AK6c+3t+JpDPl/QvDeoa xPH9jtZnUsMzS5jXr/30f0or9KPDPwh8MeEY4/seki7mXjzrhRI31x0FFArnpV7bw6lbvC0jKrdd hwayT4Tnt/mstUlj9Fk+YVLqWpR6TcMlxHJGv/PTaSKit9ctrhi0F2jgj7obpSs0Y6Ced4p0v7gj vEH9x8H8qn0vxJryrN9p02Qyk5Xc4xU6am/U4YVJ/aasfmVh70tRq6JbD4kaTdH7PLNCZl+WRVkG Q3cVrR3GlX3MVwYnPTnFcpdeHND1bJnsLd2P8Srtb8xWe/gKCAE6fqF1ZHrt371/I0XC7PRI7eSB gyXqmMn+I5/Cr28IoBbJryb+wvElvJCV1O3uI423EspUkVrX/iu/8MtDd3Za4jb5AltEX2n+83tR cq6O9uLxLdd0jCJfVqSO6t5MHzlb6muIsPixo2qEJP5LP0Kt8p/I1vRalomosrAiNs5Bphc6EEdu lLms2zmsbeTZFdeY2OF3ZwKstd7iVjXe3tQUWaie5VThRub0FV5m8vaZ3I3dFWo4dWsuiyBCME7h jrQBJdWZ1K3aK4x5bfw4zUVr4e0yyXEVlEp9dvJq4sySAFWVs88GnZpAZV74V0y++9B5bdQ0ZwRW X/wgNvbXn2y1uplucbd8zluPQeldTVLULOW7jdVuWiDDgY4oAw/7M16z5huVnXsM15D8a/Hl7qU1 v4USXEikS3vlnjP8KE+w5P1r2DXtWtvBvhu+1KSRpjZwM/LcFuijHucCvmfwdZza5rEur6i26W6k MxY5LFic4A7/AEFNCOiW4g8A+FzeNgXkv7uBGxksf8Kb8NNHtn1dNV1hmnct5kduFLyTyZyPlHOB 1JPHQVP418K2djINc8ealH4f0a1A+yaZw13LjncU/gJ9+cV4f8Rv2npLuN9J8FWw0XTHGx7z71xK o7M3UfTpTGfSXxI+PGn+FVkgN0qXvQQRuGmJ9yMhPoMn6V4XeeONR8c3G9y0FtvB2sSFye57k+5z Xi+h2t1ql157pLdzNgs8hySTzXqukeHbuGLz7+dbaHGSM4A+tAHonhnWtM8PR74h9suxkeYw4/Af 1rK8ffGx9PgYNMUkYELAn3m9x6D61x0mrX+vXTaX4RsmvrrpJeEYjiHqT0H1Nes/CH4B+FdF1D+1 fF93b+JNXjPm+TNIPskTdckHmQj3wvsaYHnfw8+CfjD473S6rqRbSvDjNkXFxnY4/wBkdZT9Pl96 +t/Avw48MfCuxWPR7RTebdr384DTv6hf7g9l/WpNL8d2HibUJbLTZwbe2T57pU2wKBwETsfw4FdN Zw2qfNG6yuf42bJqbgUtU06bxBYvbu32aF8fMRlsewqTT/DelaSn7iygVv4pWQbj9TWmc1U1Cze+ jWITNDHnLhRyw9KQEc+i6deLue1iYN0ZRisq98C6fdKRHJNbHtsbI/WtyOzSMqcs5XpuPA+gqVmC 9TigDgtZ+Gd3qsQjm1ye4hUfLbsNiH/ex1rN17W9Q8E2tit7BNFDs8oSWamSNSPYcivQL7V4LNcu +D0A6k/QVgarpN54q+zLNJJptlFKJWAwZZgP4f8AZB/OiwjlbH4qRXTBIbxZn/55shDflitiH4hL 0lhU/wC62K6qz0uz0+MJb2saD12Ak/U1FcaXpuo5WW2t5j3+UZo1GZcHjjTpcB98Z6cit0ahaRWp uXkURAZLSHaoHvWDc/D3R7jJjSa1bruhkI/Q1S1D4ZLqSolxq11dwpysE+PL/EDr+NMDStfEknir zBpEsa2itsa9kHyk99g/i+vStfTdBttPk887rm6P3rib5m/D0/CvKtc0bxh4R029umsLfWNOtZDJ F/ZUuydYfQxt1Yexrm7H49WVnsF1c6hpbE42X1q68+mcEUvUD6L5+pqjMt9u84lSF+7bR9/q1cDp 3xSlkjR2ZZImGVZ0K5/MV0Fn8Q7eYfPD9TG2aLgdLFJJDDLcX0sVvCiGRz/DEqjLMT7AE18G/Hz4 6Xfxi1J4IHktvBtpMfsOm5x9qKnAuJ/7zHqqnhRjvmvqD4+eNA3wN8bnSxL9tNgY1wOcMQD+ma/N iHxosSQ212psWZQYncfu3HsapAS+LJjHGLi5c/O20bvXGf5Cui+FPwXu/GjRajr8XlaWxDRWrkgF fVh/ET+VZl1dxXy6e8sUUhhnjuRbXBHl3KqwOA3YnkelfQmg+NNM16FH02fym/ispwElj/2SO/1H FMD0fwb4D8N+HbWJbK2ijCj5VUBQPwFegWk1vFHsVI0A6DFeN2moXET+YrgdsZ5/Oui03xYOFlJH q3egDrPEdit1CxByOn3cYryvV9N8mRvu9ec16jY6zDeQgF1ZDwSetcl40tUt/wB4oyjfxY4zQB53 NGmSHbnpwRVVdLW4kymGGMYwDVi6mE0wQFc9AK7HQfBkdrAl9rFwmn2fUK3+tkH+ytAGN4f8Az67 cJb20O5u+BwK9c0vw34W+F9p51/FDeakRnj7wPYeormr74gQ2Nr9k0G2WwtlX57iT/WN71xOqeJN OhzLf6kksvUs780twOa/aAh1/wCIam802xhkitn8xbfG2RgOoyOuRXgmnSW32Sd44Gt3RiBE3Vee AfcV7P40+PFhpdg1roexrxl2/bZUysfuifxN6ZwB714DPrKeX5MIZY9xclzl5GJyWY9yTQB33hHx xqPgzXNM1jTpzbajZyLNG4PX1U+qsOCPQ1+mXh/xpZ+JvCGl+IrcpDaX9ml2S5wsQI+YE+gOR+Ff kM2qmD95KSoAzgntX2/8GdF8R658FfBo8YGS10SOx8620hEKC5jZ2ZJJz1YbSMIOMYJzmgD2LUPF 2qfEC4OneFWaKwkJSbVtuWkHQiAHt/tnj0rm/Enxj+E37NsY0vXNfjuNftU2nSdPBurmH2fHEZP+ 0Qfaofi54y1nT/hudB+HGpaboWu6hGIZ9duiw/s6Ej5zEigkykfKuMBOT1xXwN4z/ZJ8R2FrJfaP 4ki8VTrulubd7aSCRz1Z0JLGQ98HDH3oA+nPF3/BRwXIdfCmh21tF/Ddag5mk/FBhR+teA+Pf2jP FfxFZn1XXLy4VukKylIgPQIuF/SvnO9a40S4NvJbCKQ8qRu2SAdV56HGa9L8JeCT4k0qDVILhLew kHDs3zEj7y49jTGUbvxHc7tryttPaolsbvVFDW8bSFumO9dxH4Z0bT8NOPtLLyN3Q1JceJLS1Xbb xpCoHRRwKAMnR/A9zDGsmoyIg/55hufxxW6q6dpHMcMMbD/loBuf8z0rl9R8a4Lbpdv+8a5jUPF3 mZw+B6n/AAoA9BvvGltajEbD6qM1ymq+ONzkKxlb0X/GuOL3upSNhH2n7rPkD8q07LwRqmpXVvax SzTXs5AhsbO3Mk0n0Qdvc8UgFk1a81BuMqP9nmi101ryTaWeWQ/8s4su36f1r6K+Fn7Geq6lfLD4 plfSn8sTyWcjeZMiHpvRSAGPYE19WfDP4H+APCNt5uj6fHqVxDIYnuLxASki9RsxgEfj9aAPh/wH +z74t8XbHstIWytSebvUDsQD12jrX0j4R/Y58M6PaWN34r8QXesSTKJfsmnf6PAB6bhyR9K+lrzQ 7PVbWa2urSKa3mjaKSPbgMjDBHGMZB7Uf8IhYy2lrbBJIoLWJYIUjcgJGowq/gABQIx/CGheGfCG nrYeHbCx0a07x2sYQv7s33mP1JrqLe3STkOrfQ1wPxM0q58B+F/7c062k1dEuEhlsnlWJ9rZG9GI wcHqD615pa/HS0tTi80TX9PA5Mi2vnoP+BRsf5UAfSkNnIsnIQp2wDuorzvwl4k1bxNpMGq6TDf3 Gny/6uWSBo9wB5IVwDj8KKAPb5rNZk2yIsinswrg/F3wg0vxNIJt0tjKpyGtXKfyr0bbnuaQp7j8 K0I0e54brHwx8VaMofw9rBlwR+5vfmXHfmqf9peNtDwNQ0Bb6MdZLR+fyr3tox/d/Oont1f3/CkK 3Y8Mh+KmlQyCLUI7rSpu63URUfn0rpNM8TWOqKGs7+GcNyNkgNegah4cstSiMV1aQzxsMMsiBsiu UuPg34YVZDa6XHaTN0lt8oV+mKXKg1Bb1u4zTvtg9MVyF98JfE+lzNJofiqTZni31GPzFH4jmqU1 5468Pqf7Q8PRapGoy0umy/N9Ap6mp5eweqOwvNK0vVBi5s7eU+rIAfzrHn8AWG7fZXV3pz5z+5ky v5GsKD4q6OJfJ1FbrSJw20pewMgz6bsYNdLp+uWWpxiSyvIblT3ikDVNmhaPYr2HhnVdNvvPGtmU EbcNCM0mp+KtW8E3DuttqGrxTrvkuoVDCMg/d2/Stlbxl6nI96lW8DYPI+hpalGRpPx2028YR3LJ FJ08u4UxN9MGurtvGGiaonzBQG7jBH5iuZ8RDQraxe515tOtLRes2pMkSj/gTY5+leW3niL4RTXD Cz8a2emTt0ksbt9mfyK0Bdn0LHb6ZeMj2t2I3U5G1v6VZWzvbZlMd4skWDnzf514Xpeiaxd2v2vw z4wsPENov/PXa5H1ZDx+IqWS+8d289uZdIjeKI5eSG9Hlkf8Cpjue6Nfpax/PL5z92AwKqTXk00L ysVt7deWmmbYi/ia4TQY/F/iC7h1CSKx0nRLZt0s9058t8Du5xkey/nWF4+/aI8M+C5SmnB/GWvR g7LqZNtnbt2McQ4/Hk8daZR2HjjwmvjLwtJb3up/2B4eE6zXWrXg8vzUUcLEhwWySTk4HpmvAvHn 7UvhD4S2sul/DbTxe6kq+W2t3o3yE9CUz0H0xXmHxB8a+O/jNfedrWozi0LHZBGdqLz0VegHvWRp Hwhs4SrTnzmY9SeevT/69MDzrXtc8VfFTWn1DUrm4vJpWzukJ2rz2rs/B/wZeZVnv5NoJGVruWh0 nwdaedctFaJkIitnczdlVepJPYA16L4F+Cvjf4iQwXFysngnw+3zC4vo8306n/nnB/AD2Z8fSmBx EcmjeFHSysbdrzUncRR2tuheUt9AMmvTfB/7NPiTx1JBfePLyTQtJzuGi2xH2mUdfnPSP9Tz0r3L 4e/Cfwv8L4v+JHp/+nuuJdVvG827l9cufuj2XFdhn5j60rgZXhvwjofg/R10vRdKttP09esUaAmQ /wB52PLH3NJeeDNBv3Lz6RaO56t5YBrW3fNjFLmpA5i58A2nmCSwuZdOwhQxRgGMg+q+1Zkng7Wr TJt7u3ucdOsbf4V3O6kzQI4L7V4l0r/W2lyVHePEo/SpIfiFNC2y5jUN6SKUP613O4joaZNFHcLi WJJR6OoNAzmtO8d219HNJIYraOLq7SDA9yazLHx5beJtQlt9PlP2OFd0moupEfXG1M/ePv0ravPA vh28kMkuj2rOeSQuP06Vl3/gNBN5mm6jJp48sxNA0SyROM5BxwQR7UAbmnw2EbeZDKs8x6zSMGc/ 4VebmvOLrwf4gtcmIWd8B08mVoWP4Nx+tZk2reI9By1xY6pbIvVhH5yfmuaAPTL6xlvSoE+yHGGi xjf9SOcUzTNFi09i+fNl5CseNi/3R7V55p/xak3+W89tMw42yHY/5HBrqtI8fR6lcRwGzZGb+JWy KAOtVT6U5mSIEsegya4zxp8VtG8GSJZzySXmrzDMGkWC+bdS++0fdX/abAqto+h6h40jiu/Fd1Ha 2zgOnh2wnyig9BcSjBkPqq4X60wL2teILrxRa3mleGoRdzSo0L6kxxa2pIxuLfxsP7q/nV/wr4Ds /Ddnbi4k/tXUI41V7ydANzAcsF6DNdFb28VrbxwW8KQW8Y2pFEoVVHoAKe27YwQgPjgsMgGgBJo4 5lCyxxup4CuoOfwrLuvBui32TLpsKk/xRAof0qPUNDneawuoHW5voJxI0lwxUbMEEKB0HPStS1tn hLPLO1xM/Vjwo9lXsKQHE+Jvg/Za5oupafaare6d9sgaLa7CWLcR8pYEZwDjoa/P/Xv7M+Avi698 KfFfwY2r+G7lvuxsUuIM/wDLa1l6Oh64/Dg1+nuK5D4n/DXwx8XPDMmg+KtLt9Us+WheVAXtn/vo 3VffB5qgPy1+Ing3wLp5/tH4X+PX1TSZfmOj6vGYby2/2SDww9xXnMfjbUNLYZcgqePLbp9Af6V7 J8cv2XIPBq399oV+NR0m3aRRNG3mqNnJXf1yBXy89jcX1sJ7SWRozyNwJoKSPYNG+Pus2OFW5aUA /dZiK6qz/aYvVG2VTnGDtINfLF1a6nCxIYkj0NVW1DUo/vKzevFA+U+z7H9qR7Zkby2GO+w5/Q1k +Nv2ovG/iq1uLPTPEln4ctc/uPsun+ZKo/23fOSfYCvkhdevo8Dy2z+NTp4rvV6wk/iaA5WfVHgL 9pDxH4Rt7gavqtj4jumx5F81h5VxBgcjI+Vs+4yMUurftH6lqDvJ50zO5yWwAfzOa+XY/F12PvW3 860bPxoyn57YsPZaLhys9tvPjJrF98oeRh/tOzfpWfHqfiHXpCI4bh93OQNo/OuD0/4kNb7fKsAX 7Fhk1st478SagoSKGSNSP4RjFMmx1yeF7qEeZqV5BaDqVV971FNr2k6KrLaD7RMP+Wj84rjZYdUu mRZpDLcTOscUO7l3Y4A9vevuH9nX9jO3vdPs/Emp2IaDCvbS6hz5795VjPSMH7uR82M9KAPF/hH8 IL3xdq0GteJrKVNI+WRLJlKyXncIB/Ch7k8kcDrX2FeN4i8ZSxqyzLsAVY4yQqKBgKB2AAA49K9V 0X4a+H/D6ia4c3VxnLM3TPrW5ceJNJ0G3byVht1HcYAoEeX6D8D726w965hRvmPmNg//AF67rT/h x4f0NVaU/aJ4+cjgZHf/AOvXL+IvjbBb70tma4b/AKZjv9a801z4yahJLKqzxwFlKeWgMr8j0Gef rQB8zf8ABR7wx4c8Pauk+k2SWT6gn2+NoPlG/dtkGP8AfG7A/vmvnP4S+OpLfw/qFpI+3y5llVew 3DBx+Iruv22PGx1jXND0xzOb5LWR5Fnb5lVnGMjPHQ9cZrw/wDatLBclY5HMkiquz268/jSKWx6j feLpZs+WDj+8xwK5+bXZbqTYJ2du6wDJ/Oqeo6DMt4kERaUbcv5jZAJ6DJ4z7V7P8KP2WfHHiuwF 7Fo88NlMci5ul8mID2L4/QGgDx5IbmaTCQKhPVpm3N+Qr0j4e/BXWvGlxGYbWW4UHJcjai+57fnX 0X4T/Zp8I+Bda0a08YatHcarq0jw2On2+Ss0iLuZS+PQHoADjGa9F034aeL4buPS/C/iiNNOiOdm pafHIkSZ6s6bWY+nc0Cucl8O/wBlDw7arFN4l1zEg5NpYqM/QyEYH4A19G+BfBfhPwJatF4X02x0 3zOZLiP5riY+rytlmP449qjtvhlGltGsmp3EtwFAeURKFZu5C9h7ZpW+Hl/Dzb3sE3oHVkP58ikI 6S10G0hjdY7SLbI5kY7dxZj1JJ5JrSt7FIVCpGsaDoqrgflXC/2H4l03lIJZAO9vKH/TNKvizWdN bbcrNHjtPCR+uKYHoiW4FXbWz3YZh8mcAd2PoK5Twn4sm12+FvJDHIP+mZOT+Arzr40fFa58S6hq HgjwpetaW9v+517XrVsG1BHNnbt3nYfeYf6sH+8aYGP8avicPiHqp8K+H5mTQ9Hvo5tU1qFvlmuI iSLKA9GwT+9boPujnOJ/hR8NB4svBrOpQ7NDhb91Gcj7XID0H+wO579Kwvh54Q0vWtRt9IJj0zw9 psSs1vCdvyEkKgP+0QcseTz3NfSlr5CwRQ2nlLBGoSOOHG1VHQADtQBaaTOOwUAADoAOgHtRUew+ lFAHULIJPutvH1oZgv3iEFV3tTP97YgzuGzrx70htQHLb2LH+9zVkFlWRlyp3D1pT/nFVbiSWOCR kHmsB8qKACajtb+NkCySFJR97eu2gC4QPxppFG7IBBDj1HIppkx1H5UDEaMHqKha3Vqm3buAaRl9 efpQBl3+h2moRmO4top4yMFZEDDmuA1z4C+FdVmM8NjJpVzkHztNlaBuOnA4r1LC9uKay/iKBep4 5rHgHUPCmmy3lp4re0sbVN8v9rIJkCj/AGuDk15J4g8Y+PvFVxoWiaVu8PNrLKLaS1Gy8vUZsK6l h+5jOCd2MkAnjius/aa+JlhpPi/w/wCHNQl2aNbyxXWpoP4s5YA+oCgcf7VfNfxg/aI8Q+G/H03x A09Vt7x7J301WXKWyvEyIFHbYm3HvSFZ9DjfiJpOpfEL4y2/gTw3MPGusteyaZpk1/K0lqZIeLq9 fcT+5jYOF9dhPJZRX1Z4T/Yp+EXw1GlWvxD1O68eeNb6LeLS4lmYz84LQ2ULDZGDwGbsOTmvH/8A gmhaaZP8S9e8UXkolm0/RbDSrNWIZ8zh5pXz2LGMA981v/DX9rJhrfjnWhp8Nz4x1bUGg/tK6+do LZWKrCo7KvA2jjgVJptoepat+x54c0XxjY6/4A1vVPhdYWsge8ube5JtrhR1iiilLHJOAW5XqME1 6NrHjrw5oMe6zgfxDeqMLcXw2QKcdVjHX8a8cm+I1x4gUT395JeXTY+aZsgfReiisvVPFUe4tNMs eOd7Y/QUrdwNz4geOtc8YMTqWoyPbgYSKMbIkHoFFcOdFhjkTdAXBH3nGB+VXLfxW19t+yQrIhO0 XM5EcW7/AH2IGa7TR/hnd6tGJtS1qKOFuTDpeJDj0Mh4/IUAefyLaafuuLiYW6Lk/vHAG31I/wA9 q4L/AIXBpfijX38PeH9VtIpVfE2o3jFkh9QiDBkb8QB3NeufHT4OaVeeBY5NLt5oo7KQtfbJGeWa FhgyEnqUOG9AM8V80eNvgBaacltq9leyW88a7JI1T/WbhlJFK++Bu6ZJ9qYH1T4DXwb8Jbqy1i/u Bea/MNqa/rYE2D12w8bIARyAMH3r3PR/i5Bq0YnSS31CNufOtpQ+fxBNfn54B+KHiHwTGlhq6i9s CcJI4Ei4HqDx+de5eG774c+MnD3mjjQL5sbdS0iVrTefUqhwDn2xUtCPrSz8daZc4Du0Df7Y4rYt tStbsZhuI5PowzXzXH8OdftYBN4Z8fT3cHVYdYgS8T6b12uKj/tP4i+Hzm98MWmtxL1n0G+Cuffy pcH8jUgfUJOKbuzXzVZ/tEWejyiDV5dT8NzZx5WtWckS/wDfeCv616L4f+MUGsQrLbXFnqkP/PS1 lVv5E0xnqFFcxZ/EDTrjAlWSA/mK2rXXLC8H7q7jb2JwaALvSmM+KRpARkHI9qgeSgBzyVXZ6Gao zQApanLIyHhiPxpoFKBTAhvtKsNWUrfWNreD/pvCrH8yM1zd98IfDF8p8m2vNKY9X0u9kgP6GutW pKAPPrf4K6Zoljep4fmGn3twjZurlTM7yY+VpHJ3OAccE1kTeF/HenpC0+m2WqypGqy3GlXgTewG CwjkAIz1xmvW1qQGgDxiTx1q3hplGpQarpPOB9stXKf99KCP1rc0f4uG9wsVzZ35HVY5Bu/EA16c szLkB2APbPBrC1rwL4a8R86n4f028c/8tGtwkn/fa4b9aQFK2+I1q3FxbSRH1U5rUs/GWl6hceTD KzS4ztK4xXJXXwR0Pk6Xqmt6I3ZILzz4R/2zlDfzrDm+EfjTT9Q8/RvHenpGRhnvdFDTD6Yk2Z+o oA7fxt8SNG8C2CXGr3RhaY7LazgQy3V0/wDcijX5mP04HciucsPD/iT4mql34lEnhnw3J80Wg28n +lXC9jcyr0B/uLx6k1zFx8K9V8I2+q69DaXvjHxM0DO13LMsl3dYGRDFnCxKegRQB9auN8ZrBLwI NVk0uTYmbTVoHtHjO0ZUiUKMg8cE9KLgel6v4H0HWvDD+HrjTYU0lo/LWGFAvl8Yyvv/ADr8qf2j P2eNe/Z08VtbS2kt54XuC0ula5boWiaPP+qlx9x1zjnAIwRX6Y6f8SLiWJZNkN5D/wA9ImyD+I4r F8deIIPELaa/2fCJmKWORQ6MCwOCDwR9adwPyLurWPUbRpAQjYyCO9cNqzS2rHBH5Cv0t/aK/Zr8 C6hrltqNjpS6HPeRl5v7KfyY3b+9s+6D9BXzB4s/ZPS4Zv7P8RtH3CX9tn/x5DT3GmfKr61OjY+R h/u0z+2pW5MaflXr+rfsn+L7eQ/ZrzSbxe2JzGfyYVjyfsxePowP9Asyp6Fb1MUtTW6OE0+9M0g3 KpBPSu80XSdLaNXktRI3+0TVzS/2a/Gkbq0sWnwD/auwf5CvZvAv7Kuu6yEW51ixtE/iMUbysPp0 FMiXkeSlbe1OILeOL02qKv2Mc11JHFFHJNK3CxRKXdvoo5NfWng39ivw1DcLNreoahq6KeYVYQI3 1284/GvULfwH4d8CxtB4e0az0pMFfMijzIeO7n5j+dMg8X/ZU/Z1sb7xBdeNfiIoht9EmWOy8Nyk ZklZQwluDnAUAj92OSTz6V9c+IPjdbbpUt8zeWAB5YwqjoBnoBivna+1A6HdasXeCG2Dq7SXEwRd 23368VzNj4i1vx1etZeDdHu/F827af7Ktnkgj9S877YgB9eKAPY9b+L2o6hIVgkEfPCwgyH8T0rl tQ8Rahc7BO2GAPzTMZD+Q4/DNdN4U/Zv8TX2yfxPq1ro6kAm0sm+1Sr7BhhB+tbHj74f+DPDnhS6 he+vtPeDbNNrf21kkgAI5yBgKc8jFIDgLfRbjVEG9bm8JPIY+XGPbAxXl37QHxA8YfCKx8jw/wCC Z72KZBjW4QJbKIn+ErGC5cf7e0fWvWf+EB8aafGBpXj+71JXIMUerWMN0CCOAHQIxB9a7Pwr8PfH UdqzeIdY0GO4bhU0yCcHH+3ubGfYZpXA/Lnw78KviP8AH7xlczWGhanrmq3cga5vJYTFBEOgLyPh VUDtn8K+2Phf/wAE+V0nTbSLxR4hW2iQZltdHAkmlY9cyn5VB/2QTX0BceEfEcChUEN7GpziG42f krYrPurzWtCjZrqz1SyQfxtCzr+a5oG3c6DwP8Dfh/8ADWNR4f8ACen29wp3G7uk+03LN/eLyZ59 wBWd8Yvi9Z+Abe0gkWTVvEOokw6Xotucz3T/AE/hjHdzwBWF4n/aI0bw3oMWm+H/APirvG11+7td Gttw2sf+WlzIRiKJepJOT0ArjPBPgx9H1e48Q+JNVTW/G+rvHDeaw42xxKzALbWyn/VxAkAAcseT TEbvwj+FOq6l4ivPE3iS6XVvF14uya6x/o2lQHkW9uO3u3Vj7V9Fabo8Gl2q29um2Mckn7zH1PvW RZeItG8O50tY2t44DtLYzuPdm9zW1b+JtJuseXexZ9GODQBdWHFSrGKYsyyrujZZBj+Ag5qlayX1 1Iss8EmnRrkfZ2eOUzA9GJH3CPQHmmBZheaS4kZwYYVygiZQSxzw4YHoR2Iqy0vy7Scr6HkVFtNG 2gChqegaXrEEkN3YQypIMNtzGxH+8hB/Wueh+Cnhaa1h07T7F9Htowdi2LlUjycltpzk55JPJPeu 0hheeQIi5Y/5zXPfFL4n6Z8I/DBvJYptSv55Ft7HTLQbrnUrpvuQRL7nqeigFj0oA+c9P8P+Ivhb 4g8e28UEXiu11fUY5o5TP9nubZYkMawgMCjR4ywwQcsc561e0HxZrWpaxbaZbeHdfgv7h9sapCHj 9yZFYgAdycCr3g/w7rWk2twdauf7Q8Saxfy6hdW1s5khtppWz9mhJ5KJ0z3OTwK+gvBvhNPDNiTI FfUJlHnyL0Uf3B7D9aAOCt7Xx/o6qTa3UqDqI5Emx+tFeuhfwooA2j9fzpNxXtXzH/w8E+Hn/QG8 T/8AgLbf/H6T/h4H8O++jeJ//AW3/wDj9bckuxlzI+nPMDe/0prIJBhgCPRhmvmU/wDBQT4dEf8A IF8Tf+Atv/8AH6T/AIeB/Dv/AKA/icf9utuf/a9HJLsPmXc+km02JTuTdEf+mbYH5UKtxHwJFmX/ AG1wfzFfNg/4KCfD3P8AyBfE2P8Ar1t//j9Mm/b++HEwAl0TxO6j+H7Lb/y+0Uezl2DmXc+kG1Lb JIjxfdI2mNt24dz7U6O6PmfvHiiXHCE8/wCFfNEn/BQLwEvy2+geIYl/vPbW/wD6CJ/61H/w314F aZGfT/EsiBCGQ2FsAWJ4P/Hx2Haj2cuwuZdz6jacLGXJ3qOfk5qo11czHEUC26/89Lg5P/fI/rXz V/w318PlXA0vxQP921th/wC16g/4b88ER/d0zxHMvpJZ24P5if8ApRyS7BzI8b/bpjnbxdrKPIWu FkXEmMFlaJcfyrxTx9qCeKfBGhXanfFNYLauq9VZRtb6HvXpv7UXx68JfFye01LSNN1e0uBb/Z7s XcMQU7TmNwVkPPJBzXzpoPjKHTbK8026SZ7KVvMi2gFopPUAnoaPZy7FqUe4/wDZ58e3fwn8eXit qP8AYum6nPBbXkxOY4J42LWs7H+GNmLIx7bueK978afCaf4c+JL7xDbW0t94Y1WZrwzWaGaTTpXO 6SGZFydpYlkcAjDYOMV8v62ttfXH2i3RhJtKMkyAxyIeqsM8g16L8If2l/F/whuLS08uHxJ4etwF hsdRndJrZR/BHOuWKDsrggDip9nLsU5RfU9n8Hxah4+1e30rwnPeXkk7Bdxs32RjPLMxwAAOSSeA PwrofjZ4QT4V/ET4b/Dnw74hk8S/EDxHfQvqDz26GO1tXkVURI+drMBK+5snYmcDNYOvf8FG9fe1 8rwv4R03Rb6VSpv7yU3rRt2ZIQqK5/3yR7Gue/Zm+JXhnwP8S9a+KHxMTXvEPja63rYNFHFP5XmD EtzK7yITKV+RVVQsa5A60ezl2J549z9F9a8F6LqEMti2mWstgpKpA0CmML04GOOPSvMtU/Zm8Oec s+h3Gp+FJ15DaLetEjH/AGozlTXMj9vj4f8AQaP4lA/69rf/AOP0h/b1+Hh+9oviVv8At1tx/wC1 6fJPsTzRNeTwF8TfDJH9neJNO8UW6qd0GtWhhlb28yP5efcV51ceFtY095m1zwrNpFnDvkTypRdQ QK/Dqsi87PYjgGutb9vX4eHpo3iYf9u1v/8AH6rSft0fDuXl9G8Rt/262/8A8fo9nLsPmXc8w8Uf DnTtbtx9mkFnchciUfNHKvYnFeY3ln4j+HlxILi0aazH3pFUvEV7A46V6p4t/aF+GOoNLdaBpniP SbmQ5ktHtIGtZT6gefmM/TI9qxrH9pvwla6ebe+0nWCznLqIIXjPbAzJyKXs5dg5o9yp4O+KlvMy DTtdm8MXgGAsg863Zvx5WvbvD3xO8T/ZQ89rZeJLcc+fp7YYj165/SvmDxd4w+FPiYyTw6RrulXb HIms4IQPxXzcV59b+PLzwlfGTQNT1Ax5yvmIsTY+gdhS9nLsHNHufoHZ/FzQNUQ22oJcaeTw0N9F uU/gf8Kq3Hwv+Hfi6U3dtp2nx3bc/atJmNnMD65jK8/hXyRon7YGp2saweIdKj1q3HH+kQKX/wC+ s11UP7TPws1BUkm8O69pVyOd2ntGVB9syCl7KXRBzR7n0FN8Jdf0fLeH/HmqW6/w22uQJfxfTd8r gfjVZrz4l+H8C88PaX4mhXrPot99nlPv5Uw6+wavFYP2p9C07nSNX8TKvaO6toJB/wCjq07P9taO 3IF1pU+oR9ysMcbH8pDS9lPsHNHuep/8NC2Xhtgmuxa54SkHX+1rGRI/wkUMmPxrt/Dfxyt9egE2 matp+tw9zbTLIfx2nj8a8MX9tvwfNCY7vQteiDDDLHHC6H8DIM1w/iT4yfBDxRMZ7jwZqEV4eftd paQ2kwPrvinU5+tHs59g5l3PtWz+KtnJxdWzRnuUOa3rLxlo19gJeojHosnymvzon+LGjaZ83hnx Z42sVH3bbVbe21GH6fPKHA/4FS6b+1XrunzeXqGj2usW/wDz3t2NpKR7oTIuf+BU/Zy7D5o9z9Lo pI5xmKRZB6qQanFvLtz5T49dpxX5z+IP2zUsPCWoL4dtdY03xA0YW2kulTyYiSNzbg5yQM4+XrXj cf7U3xIaYTSeKtUWXruS5k/+Ko9nLsHMu5+va04V+Y/gn9v74j+FZI1vtQXxPaL96DWIxI7D0Eow 6/ma9buf+CnFj5cP2bwLvk2jzRLdnaG77cdvrzR7OfYOZdz7f3Yo3ivj/wAP/wDBSvwTdxga34U1 zTpO7ae8Nyn5OyH9a6CD/goN8N7zP2fTfEcvt9mtw35efR7OfYOaPc+ofMpPN96+Yz+3x4A/6A/i T/wGt/8A4/Sf8N8eAP8AoD+JP/Aa3/8Aj9Hs59g5o9z6c82jzq+Yv+G9/AP/AECPEn/gNb//AB+k /wCG9vAP/QH8Sf8AgNb/APx+j2c+wc0e59Ped71jeNvG3h/wloqXPizUbO20+RtkMN8oma4b+5FD hmkb2VTXyr46/wCChvh+y0eaDwnoOpXPiOT5YTq0USW0A/56MElYuR/d4Hqa8n0X9onw1a6pJrus /wBv+I/FNwuLjWr6CEyDP/LOFfN2wxDoFTHuTR7OfYOaPc+hvEk2j+Mp2l8P+B4PCKHOzWLh5Le9 Of4ktYXCJ9JSf92o7NpvD8MFvcale6rJNIv769cMflGPlAAA65OK8hX9rXwqvJ0/Ws46CGH/AOO1 j+JP2pPDWqXmlNHY6wI4Jy0oeKIEqR0GJOtP2cuwc0e59FfFplurfSZFm81PKOQy/Mp+vcfXmvId Sh8tMo6MxHY9qw/EX7UnhW8srPybTXTMsZRzLDCB1JGMS+9cRqH7QmhXAwLPUCMfxwR//HKFTn2F zR7nbSRzSSKrsVBPJEe/HFZt4qfJHt7n5mjIz+FcNH8dNGjYsLXUI3KkZjVB/wCz1Sn+NGkyEfuN QPqdqf8AxdP2cuw+aPc9Cs7HzrhMKzAZOQuRj3r2D4cxhfLV4tyZ+UYwB9a+ZbP45aNDsDWN62AR uKIfx+/Xo/gv9qDwtocO2Ww1eTPUpBF/8do9nLsHNHufVFkN8ZYghcEYPb8K5nxYRDuyw/rXmsf7 ZXgqOIJ/Zmv47/6NB/8AHq5nxJ+1f4R1GKQRadrSE/3oIf8A47R7OXYOaPc1LjwZ4a8b6pd3ur6f b6ldWsn2aKK8lbYi7QxPl5255+8QfSvV/DGveLPDemwW2m+IrSbS4dqQ6TrKh4AuOFjZMPGB7bvp XwD4w+KV5qHjC91LSXuLWCbG0PgNx2IBIqjH8WPEJQpNeTEA5VtxyD+dHs5dg5o9z9Jrv45WESmy 1m2k8Namykp50qzWtwAMkwzrwx/2WCt7V5dHperfG/WIHvIbi08Gs4eLS2UpPq+DkNNnlIO+3q/f Ar40/wCFsajdRGG8uriaBvvRsoYH0OCevvXsXwE/bSk+GOqT6Z4qtbrW/C864gvI1Vr+0b+5lmAe PPYsD37UvZz7BzR7n3XovhWPSY1bCtc7Qu5BhY1xjag7DtmtVdOPpmvBY/27fh/tB/sjxGQeQRbW +P8A0fUg/bv+H/8A0B/En/gLb/8Ax+j2cuwc0e5709qtvG0j5CKMnCkn8hzWX/wkL6ffAG1nntJG Cx3FjDKZI88fvEKg4z/EpIA6ivGV/by+Hx5XSPEhwcZFtb//AB+nf8N5+Af+gT4l/wDAa3/+P0ez l2Dmj3PoG4sYbhXWe3hnDfe8yNW3fUkc1xvi74O+EvGUdiL3TprOaxvItQtLrS7l7WaG4jOY5AV4 OCehBB9K8tP7eHgHtpHiT/wGt/8A4/Ubft2eAj/zCPEf/gNb/wDx+j2cuwuaPc9R1D4atdTPNFrl wJWOSLiBGBPqSuDXjvxE8Qa18NPFj6JrPhTUr+3MKXEGr6MY7iKWNs9YiyyRsCCCCD7E1s2f7d3w 9tsySaN4keUfdH2W32r7/wCv614x8Sv2vtC8f/EJNSsbDVE8OQaaLYefBF58l0JCzMMSYEYU46nJ HQUezl2Dmj3OutPjz4dtboRnXJ9Gn7Q6jFLan/x9QM/jXoOh/Gm7mgSa11m3v7dvuyCRZUP/AAIH FeIeHf2gvAl1eodf0vW7rSlGWt47aF/OP907pRhfX8q9Ztv22PhbZWaWdt4T1S1s0G1baDSrNI1H oFEuKfs5dh80e56RpvxgmkUfabGGVT/FG2M11GkfETTdVmSExzW8jf3hkV88X/7VXwa1IkyeENeg kPJktbeGFv8Ax24x+lYz/tLfDfT5vtGkDxbazqPkivLO2njz7nz1b9aPZy7BzR7n1r46+IGh/DHw dea9ql0YrKFRudVzJM5OEijXqzs2AFHJJrw7RdP1bVtck8d+MYfI8TXETRadpW7cmhWbf8sl7G4c YMj/APARwK8iuP2k/DOveJtN8Q+KG1vXb3SQ39labFp0FtYWMh4NxsNw5kmxwHc/L/CO9UvGv7XF hN/Zo0rS9WSKS9j/ALQuJIY2kitRkv5SiQ7nYgLk4ABJ5OKPZy7BzR7n2d8P/CK6bANWugsl/Ov7 sA5ECHt/vHv+VdkK+FNH/bZ0TTQRCmtRZOdixxY/Iy11Vj/wUC0e3wJtN1a4H+1bQg/+jaPZy7Bz R7n2Gq0V8tWf/BQ3wTx9p8P66D3MUUP9ZaKPZy7C5l3Phncew/OjnufyoUt3AA+vNMMj9AmPdjgV 6JyklH0pnmhuQpK/3vWnKwdcryKACiijNABSc0UlACFqa2adTSKAGNgqQfmB4INc7qmgozF7dhk/ 8sz2+hroXj3e9RmPAwBtFAHB3CyWbGNjhvSmQrJPIoOAD3NdjdaTFcfMV+b1qi2ilWBHOOlAD9IW KxXKIpkPWQjn8PStZbwt7/SsqKxaPquaspCBzgg+o4oGaK3Bb2p4mHrVFVk7P/30KersvVM+6nNA i75lO3CqaTBhkHHY56ipQ340AWN3pQfmGDyKiD04H3oAjezifkAxn1U/0qrPpsrY2Oj+zcVobqXN AGHJZzRffgbb6gbhVOSztpDgoFb/AL5rqM/nTXVZOHRW/wB4ZoA5RtL28xzMP1pojvIPuOG/HBrp ZNLtn58vyz6oSKryaQf+Wdww9nGaAMYapdw8SREj6ZqRdZhkx5kWDV2TTbqPoqSD/ZODVSeJkGJr Zl/3lz+tAEiXFnJ91yhqb5tuY5ww9zWStvbyZyAh7bW5pj6eR/q52H1FIBviK6J8mJ9u8Zb5fSsd ZF9abeMWuHDHcV+XP0qKmMuSMoQEHk0xTVXdinCQrSAuHK45p6ylcE8EdD3qrHcE8ntViZfNtdw6 56UwOk0fXmbENwfMH8Lk8/Q1tLdxN32n3rzyG4MW3Brp4VvfIjkXyplZQwBJVv8ACkI6FXVuhBqv qF59itmcffPyr9axjePBzLBND/tY3D8xVLU9Q+0qmx/MRT/SkBb01d0bzMcvIxyx61d3AVmaTMJL cpn5kP6GtDYetMA3Z6c1E2+SZFUc7t4HqKtxwbuR0qz9gjKhmJQjkMOo96AIr3KwoPasqZ8dK19Q m8yBUYbzn/WJwfxFc/dSbGwJFb9DQArPn0pC3TiqRuPx/Gka4OBQBeVsN1rXsPmWuaimLMMZNdJp YIiBban+8wFAGjjiql0pYMqjc2OAKtbkI4LSn0jH9TUbxNIpDYiQ9UQ8n6mgDDmsSWJDZPfHSoGs 37mt1rdOijAHHFRNDigDE+yN3qG6tyLZyR0xW60XtWZq0irthX733m9vQUALo2rTx2/lB8mJtuG5 47VtQ6wx++gP0rndHtUm1BInXdHJ94A4PHNb7aBGv+puZ4vZiHH60AXV1GJ+uVqZZ436ODWQ2l3k f3JYZh7gof6ik+z3Uf3raT/tmQ4oA2+tPxt5PWsa1vkgb947R+zKR/Slurh9UPlpujs/45CMNJ/s j296AEurptUZo4yVslOHkHWU91X29TVi2tfOwSuyFeAo4/Ae1V3mjiaOPAUdFjX0FX476JlA+57Y oAs46ADAHSgU1ZEf7rA0+gAqN4/MYkkAYx0BJo/et/djHt8x/wAKeq7Vxkt7scmgBI0EaKoyQBjk 5NOzjpRRTAR40m4kRXH+0oNUL7SYBH5kJa2kzj925AP1B4rSX1PSsm8kOqXIgX/j2hcNK4/icchR 9O9AFX7NeRn5bhZB6SJ/UUVqKpkkAA5NFIC9mio281fuhZB6H5TS+Yu7aTtbGdrcUwFaNS27kHp1 pefSjIX2FGc9OlAB+tFH60c0AJzSUv6UtADa9E+AvwXv/jx8Q4PC9jerpym3lup7x4jIIY0HXaCM 5YovUferzz9K+3/2N7WL4L/s9/EL4u36Ks80bW+niUgLIIvlQD/fncJ/2z6esTlyrQqKuzx39o79 kXUP2ffDWk64fEEPiKwvbprN5IbUw+TJtLLn52zkK/pjb37fP22vvP4R3k37Rn7E/jDwrdytfeIt AkllgaRsyOwY3MJz/tHzI+ewr4OpQbd090Ekt0R7BSbK+mG/YD+JD+B4/E1reaDfwS2K38Nhaz3D 3UqsgdY1XyMFzkDG7Ge/etfRf+Cc/wARNS0vzbvWPD2l6m0fmDTJrmR5U9nKIVH/AAEsPen7SPcO V9j5P8kdxSeWOwr3Pw7+xv8AFDxD401Xw5/Ya6a+lttu9S1CXy7JARuVllAO8EEH5ASAeQK6P4of sI+Pvhz4WufEVtd6X4m0u1iM9x/Zsr+bGgyWfYyjcoHPyknrxxmjnjtcOV9jxr4P+D/D/jb4jaRo 3irXV8M6Dded9p1R3RBBthd05bj5nVV5/vV6z+1V+y/oHwD8N+FdW0HxBeeIIdckkCtMiBNgRGVl K9QQ1fPe2v0f/aB+BPiT47fCb4QafoBs7eGx09Jry+v5vKht0NtCATgEnODwAenaok+WS1HFXTPz S8mST7wVB6Dkn8aeICu3azKRwB2/KvrHxX/wT38Zad4bk1fwzr2j+MhFnfa6e5WRsdRGTlWI9Mg+ meleL/Bn4I678cvGk/hjRLixsNRhtpLp21R5I0Coyqy/IjHdlxxjsatTTV7k8r2PNoZvMjDnA7HB 464qTzAOSePpXp/x0/Z/1/8AZ917TtK8Q3emXlzfWxuo20uSR0C7iuGLxoc5HYGu98KfsMePPGHw 3s/G1lq/h2PSrqya/SGe5nE4jAJwQICu7g/xY96OZWuHK9jxf4c6PpHibxxoml63qq6No93dJFd6 gzKBbxk8uS3Ax7179+0h+yz4V+EHwn0Xxr4Y8V3PiW11PUorOKRhGYXjeKZ96snXmID8TXy60a9S uT+tfa37Qe7/AId9/CLa20/2hadRn/l2u6mV01YpbM+L8gdaXPpXpfwN/Z08W/Hy7v10E6da2Wn7 TeX9/dCOOHdkrlQC5yFbkLj5TkivYtW/4J4eKjod1e+GvFvh/wAUXdsMyWNrIUZjjO1W5XcewbaP em5xTs2Llb1PlL8KtQ6XeXGmz6hFaXEunwSLFNdpEzQxu33VZ8bQTg4BOasaH4Rvtf8AG+m+FZJE sNUvtRj0wR326JIJnlEeJcAsArH5uDjB4r9Etb/Zc8Q337Hvh34Zw6v4di1qx1Brqa+a5kWykBnn cBXEW4ttkUcqOVI7USmo2CMXI/Num+Yu5l3DK9RnpXSfEjwJffDHxxqfhbULmzvb/T3SOSfT5Gkh csiuNjMqk8MB0HOa9z8E/wDBPvxrrnhuLWPEuq6T4JtZgGjh1l2afnkb1GAhPoW3diBTckldsVmz 5imtYJv9ZCjfVRVOTQ7ZjlN8R/2G/oa+hfjJ+xj46+DOhyeIXktPE3h1QGk1HSXZhCh6M8ZAKr/t AsOmSKwfgH+zT4n/AGi/7d/4Ru/0iy/sfyPtH9qTSx7vO8zbs2RvnHlNnOOo69jmVr30Dld7HzBI oaR8jPzH+dN8tfSvrrSf+CY/xd1rVtYtRd+HLGCwuPIS+u7ycQ3Z2hiYdsJcqN20llXkEDOM1xXg f9h/x14/+KnjPwBp+reHodZ8K7Pts91czrbyb+nlMsJY/wDAlWjnj3K5WfO7QnJIpnltg5Fe0/tF fst+K/2Y7rQrfxTqGj376wkz250eaWQKIygbf5kSY++MYz0PSvXLz/gl/wDFSx8Pz6w+v+Dzaw2r XbIt7db9gTeQB9mxnA9aOeNr3Hys+OcH6VZgm2jBpu6gn0qySJ/mdsfSuotvEioiJLbsm0Bcocjj 2rm7ePdOuQSoOSFHOBV1mjY5Dc+h4oEdPDq1rcfdlCn0b5TWP4kUxTW9zHyh+V8d/wDIqkoqXasi FT0NIBo8zTpYrmL57eTlG7Ed1rpdOuob+MtCc4HzIfvL+Hce9cvZ3EmnyGGRBNbMctC3Q+49DTpo 4lk86xmYAc7ScOvt70COueRIxuQ5PrVO5vmYjJxWFHrk8eBMPNH97o351KdWgmx8+w+jj+tAGvcX G21UggmsK6bzG5q89xHJbgK6s3oDWfItAFNkFN8upyuaNlAC28YyK6HS1RVBwM+tYcS/NWtZ5AHN AG+svy012B96qJIOMn8zimS6ha22TJcRp/wLcf0oAt9RTCu7OOfWsmbxNAuRbxvOf7zfKtZ1xeXm ocSNsj/uj5V/KgDR1DV44cpARJL03dVX/E1i4Zsu2cnnJ6mlOyHvuarGn2UmqTdxEv3jQBp+GbM7 numHGNif1NdBUcEIhjVFGFUYAqUCgAWmyM6/dTcMf5FPopAdBoPw58a+KLGO+0jwfrurWDsUW6sd PmmiLA4bDqpBwePXNah+BvxCkPzeAPEx+ujXH/xFfcH7P/j3Ufhj+wVdeKNJjt5dR02S5khS6UtE SbradwBBPDHvXieof8FLviXptuZZNM8NseiRrZzbnb0H76suaTbsjTlS3Z85ah+z98RpLoSw+A/F SSR5VW/sa4IKnsRsqsfgb8U4+vw68TSj/Z0e5B/VK+8fgb+0d8dvjd4G8TeJbRvA2mR6GGaa2ubG 6LsBGZMArKRnAx9ak+Gv7SPxu+J3wj8U/ECxfwRZ6d4f+0efaXFldGaXyoVlbaRLjkMAM96XPIOV HwWvwZ+JQbDfDjxfGf8AsB3JH5hKtxfBn4mD7vgHxX+Oi3P/AMRX0P8A8PK/il/0C/DP/gHN/wDH qQ/8FKvin20vwz/4Bzf/AB6rvPsL3e54Enwf+Jg+98PPFDf9wW5/+IqdPg/8RG+98PfFS/8AcFuf /iK90b/gpV8Ve2meGP8AwCm/+PV654m/aO+PXhn4C6X8VpJvAc+kagYwmnrp92Lhd7soyfO2/wAN Lmmt0Fos+Nl+C/xDb/mQvFA+ui3P/wARTx8E/iH/ANCF4nx/2B7j/wCIr7E+IX7THx2+G/wV8L/E m+/4Qe903XzbiGxtbG68+LzoWlG7dKF4CEHB6mvIf+HmXxWeI+XofhxpT03WcyqPcnzqFKb2QWij 5y8aeDfFPhFbWHV/D2raCbvcI5tSsZbdcLjcVLqNxGRwPUVhxRJbxJFGuEXgDv8AX6197/8ABSW+ l1LwJ8LbuYKJbj7RM4QYXc0UBOPbJr4Ch1JPtUoUbliOwn/a74+lVGXMrkyVnY04Y/LXn7x60VDH qELdyv1oqxFlmC9Tz6Um4txt4/2qcoC9FxS9femBGsYHQL+WaGMg52Bh6qcH8jT6MGgBnmKHCElW PIDDGfpT/rSMAy4YBh7803ywPuMyfjkfkaAH0cVH+9XqFkHqvyn/AAoEybsE7G6bXG00AW9P0+51 bULaxs4jPdXMqwwxL1d2ICqPqSK/S74ueBfh3oPwV8JfCTxT4/h8GRWdvBcSKm3zLvYGDMQR91pS z/Ue1fPP7Cf7Pcnj7xZYeP7u6tf7I8PakytYSKTLJOsQeJxxtwrujevy03/god4H13R/ilY+KNW1 C2ubHW0kt9OtYN261ht1iBD5GMs0xbjPJNc8mpTUUzWPuxue5fss+HfhL8JfG11b+EvitF4jvdch W1/suTYPMdSWRlwB8wG8Y/2jXxV+0l8O/wDhV/xs8VaCkRhslu2ubMbcDyJf3kYGOMANt+qmov2d vCur+MvjX4T03QL230/WRdm7trm63eWrwI0/zbRnBERH419tftxfs0XPxKtX8f6bfWdhNoGi3Mmo RTKxa4jhVpkCEDG7/WDJx1X8D4J6vcPijojgv2N/Emq6Z+zD8ZtTttQuEv8ATbS5ms5y5ZoHSydk K5zjBAP4V8b6R4417Q/F1t4nttUuv7dguFuVvpJmeVnBzlmJy2ehz1GQa/RT9nH9m7WfCX7O/jLQ bjVbGafxrpjvaSxB9tv59oUXzMjPBcZxnpXyD4f/AGUdd8Q/HXXPhdDrWnRappNubmW9dZPJdQsR wMDdn96Oo7GiMo3kEk7I9z/4KYeJtWtdW8I6JBqNzDpFxaTTz2UchWKWQOoDOo+9gdM9Kh/4Jq6z ealdeOfDd1cSXOiNaQzCylYtGrMzqxUdtwPOOuB6V2H/AAUU+EN/4k8M23j6K9totP8ADlssE9q4 bzZTNcRoCuBjALgnJ7VY/wCCfXwU1LwXoE/jm4v7W4sPEliiwW0QbzYtkrA7sjHbsai69kVZ85+d GPwr7l/bg1a9s/2e/hDYwXc0Nnd2sZuII3ISXZbRbdwHXG44z618v/Hb4K6l8BfGkXhvVL+11K5k s47wTWYYJtZnUD5gDn5D+dfc3x1+A978evgt8LtN0nXNM0vWbPT4pre11Jygu1NtEHCkAtlcL0U/ e5xWk5K8X0IinZo+TP2K/iFq/gv49eHLGyuphputT/Yb2z3ExyqwIViucblbBDdRyOhIOp+1Foae CP2vNVXSZGs4768tLxltyYyGlEbSDjrufc3/AAKvYvg1+zHp37Lusf8ACyPix4m0i2/stXbT7Gzl aTfIVK7vmVS74J2ogPJBzxivkz4rfFK4+JXxf1nxwYfKe7vluLeCTnZHGFWJWweSERAcHsaF70ro HpGzPor/AIKZ/wDJTPCX/YIb/wBHPWn/AME+r65ufAvxlhmuJJYodOtRFGzkrGDHeZCg9Og6eleg ftDfBP8A4bK0Hwl45+HmuabJJDatBLb3szKNrEMFJVW2SIxcMrDv1451/wBk/wDZ9b4S6L8RvD9x 4r0jWfEuqWtvFeWWmMzpp3yXCxb2OCSxd+CoICd81lzL2dupdnz3PzN2j6V9o/tBFm/4J/fCPYFP /EwtPvZx/wAe13Xzxc/BDU7b45r8MG1C1bVDqKad9tw3kb2AO7puxz6V95/FX9l3W/Fn7MPhD4ew axp8Go+HZorqe7kD+VKscM6kLgZyfNHUdjWs5K8SIxdmfB3wV+BfxB+Mx1Gy8JxzHS8ot/dT3Bt7 IEZKB/75GSQAGIznjNfU/wCyv+zD4x+DPxp0rWJfGPhO+0ySK4t7+x0nU5JbiZDC5QeW0ShtsgRu vAUms79n3Tv+Fwfsca58OPB+tW+k+NIrt57uCaXynu42lD5JXnYyBY8gY+TB4NS/sufsmeJ/hH8a vDfiPxnqek6PNGbmOw0tLoTXN9I1tKrBQOAFQu5OT93GOciZSvdNjjHY+a/2srNLb9pD4gCBVhDa kznag5LKpJ/Ekn8a9w8XfL/wTR8DhzljrMg4Hf7ZeVxX7dnwyvfA/wAab3Wrq7guIPEzvfQRwht0 SrtTa+R1z6V614E8CXX7QP7BekeDvCs9pceING1SSS4s55hGQftM0gBP8OUmDAng4IptrliwS1aP DP2HfBlj4x/aN8PR6jEk9vp8c2oiGRQVeSNf3ec+jlW/4DWZ+2J8TNY+Inx28Uw3t1M2naJfz6XZ WZc+XCsLmNmC5xl2UsT1OQOwA0PDNp4h/Yt+P/h298S2kTXEMKz3VrZzCQvazB43AboWGGIHTKjn vXuHx0/ZDX9oTxFN8SvhPr+k6tYa3tmurWScxlJsAMysAcE4yyOAytnrnAbaUuZ7Cs+WyOf/AOCc vjrUNV8TeJPhtqrtqPhW/wBKmuhYzndHG4dEcAHorrI24DuB715d+zzYy+D/ANsfR/D9rczJaWni GeyZVkOJViMqru9enf1r6H+GPgTRf2B/BniHxb4z1vTtU8ealafZtO0i0kyxXO4ICQHIZwhd8bVC DGT18i/Yc+F+sfFb40T+OTf28J8OX8N9fRzA77lrjz+U2jAOUYnOOoqdPea2H2RH+3H8ZvGGh/tS 6jDpeu3mmL4bit49N+yylPJMtoryOB0DsJ3Ut124FeC+A/jVrXg74y6Z8RLq9u7/AFaO+jub+VpW L3iD5ZEfkbspuXn1r6i/4KB/s56rYeKvEHxZfU7J9K1K6s7VLFQ/noRbJFknG3GYSevQiviaSxB9 60gk4omV0z6Z/wCCk3w/LfEzw3460SeS/wBA8ZafHcWuxmdDOqoCYxyBvjaFsDGSWOO9a37aXiC8 +CPwP+FfwWtNRuBrEVoNZ12dLhi7StvUIWySVMjz8E4xGnGMY9o/Y7j0D9oT4IeG/DvikrNqPw11 2HULZnbkwrueDdyPk5dCDkYiXOa+If2lvHUnxq+NfinxT5rPZXF0YbEMfu20fyRYHbKqGPuxqI6t RfQt7X7niP0pVy3GK220EDtSppAU8LiugzK+mKbcM4+83Gf6VYmQTffjU/hV2Ox2rinfZT6flQIx ZLELyjMn41ERPH3Ditt7c1A0G3qKBmWbgMu2WNgKiZVb7rhv0IrSeMc1BJaq38NICg29feo3fsRV 1rX+6SKja3b0BpgVN49x9DTlnZekrCntBjquPwpn2fd93mgBwuZf+eoP1FL9qm6+YtM+ysPX8qT7 Of8AIoAl+1T/APPbH0p32iXvcE/iahFufRvyqRbN26I5/CgB6nzODKx/GpFSCPBI3Go20+aNdzQu B64zUJbBx0Pp0pCL4ulXhEA/CmvJNLwoLMeiiqsbEdOPcdauQzTJ90qR7jFAi9puimZgblwv+yD/ AFrettLjgx5bLsX7qYyPqfU1z8d5Kn3oW+q81ah1ZAceZtb0bigDdFpIoULISF+7uP5k+vsKerSx qMr0PP09c+vtVCHUm/vbhVuPUQ3UUATrMzMqlCpbJxnkD1NTKu6o47hJOKLy9isbcyyHCDoO5PoK YH3f4TuEs/8Agmb4imYEqguDgdT/AKavFfn9bwSzzfbbz/XEfu4u0S/4198/D6aW5/4Jj6/LPGEZ jcME9B9tXFfC0MfmHc3Tt71jT6+pcuh92fsBqf8AhQvxc46q+P8AwFeov2TVK/sQ/GMEY41L/wBI I6t/sFf8kJ+LX+6//pK9Rfso/wDJk/xg/wC4j/6Qx1lLd+qLXQ+DBS1baNW6qDXqP7P37OuufH/x cunacr2WkW5DajqrLmO2Q9h/ec9l/E4AJrpbS1ZjueR194fFL/lG34O/3rT/ANHSVs+J/ht+yF8O NYl8O69OTrFiqx3P+lX8zb8c7zF8gb1Axg8YHSud/ac+NXwj1b9muDwD8PNY+0fY7q3+y2P2e5G2 JWZm+eVeevc55rFy5mrI1S5b3Y/9pwZ/YJ+EX103/wBIpa+FwMV+hXh/40fs+eNPgB4F8F/ELW/t DaTY2hms/IvEMVxHDsPzxKM43MOCRzXnnxStv2Tl+HfiA+DpmbxR9kf+zhu1H/Xfw/6z5f8Avrii MnHSwSV9bnSf8FFv+Sa/CP8A65zf+iYK+BbjTwZGeJjEzHLAcgn1xX31/wAFFP8Akmvwj/65Tf8A omCvhSqp/CiZ/EZPlXMf8KuPY4orYhjEj9OB1orUgu5o20Y9OKTn6/SmAcj3oz68UBhS0AGKTijb 6UjNtGdpb2UZNABzSMV24fG30akBd/8Apn7dTSiNVOSMn1NAEYQbgYt6AccNx+VLtKnd5Zc9zuGa lx6UnNADPOXgNuQ4zhxinq24Ag5HqOaXdgelRGBdzMjNEzHJKngn3HQ0ASUfrUeJh94JL9PlP60e cinDboz/ALYwKAJNv4UnTrRuLYI6dsc0ooATd+H1p0bNG6upKspyGBwQfUVG0yqxUZd/7qjJ/H0p uyR+WbyV/uxnn8T/AIUAXLy+uNRm826uJbmXG3fM5dsemTVfmo/NLcRL5v8AtHhR+P8AhRI0qqFU bnbjcBhV96ALlpqF1p+/7NczW3mDa/lSFdw9Dg81Xqusrp8vmI4XhgzZfP1HAqWGTzgfkKYOPY+4 NAD6MUv60lAE1neXGnXUdzazy21xGdyTQuUdD6gjkVJqWrX2tXX2jUL24v7jAXzbmVpGwOgyxJxV X9KP0oATH4fSrml63qWhTNLpuoXWnysNrPazNExHoSpFVMUlAD7q6mvbiS4uZZJ55DueWZi7MfUk 9T9as6VrmpaHI8umahdafI4wz2s7RFh6EqRmqdJt9R+VAEt9e3GpXUlzd3Et1cyHLzTuXdj6knk1 WK1Jg/Wm/h/hQBDJAj8soz69Kj8tv4XJH+3zVrbnr83t2qOSdFk8sfPN18teo+vpQB+iPwP/AGX/ ABz8LP2efHlpZxae3xB8UotrDJHd4ihtCoXIkxw2JJWwB12+nH5xqryODtVI8fxH5m+g7Cu3j+LX xACgf8Jz4ijVRhVj1afAA7ffrk/IQfwgn1PJrOMXG7ZUmnaxAbf8KTycds1LJCyKTCSrLyEPKn29 qVZFkQFQfmGcYORWhJAYh3FN+z5q19Ub8s0m5H6MM+h4NAFN4MduKrS249Dn/P5VqmM/Sm+SPSgD Ce0/+sO1QNbkdq35LdWqB7HqRQBgtEf/ANdN8vHUVtPZe1QSWYXGQc9gOp+g/rQMymjzUDWof+Hj 1x1+lbH2Et97p/d6gf4mkazPpQBi+S8f3XYe2c07zpo/vBW/StN7Ug9Mn0pn2M9xk+39KBlNL4L9 4Mn1FWortX+64P0NKbMen6VG2liT+HB9u1AFyOb3qVkin4kjR/8AeFZo0+4i/wBXI30bmnLPdQ/f h3j1Q0gLTaPatyoaM/7J4pV0nZ91ww9+DUUeqxZwxMZ/2hV6G4WQZVg30NAhi2pTqtSNaJKuHUMP cZqVZPenhgaBFBtFh6puiP8A0zYim/YbuL/VXG8ekq5/UVqg08YoAz7eS/jP+oiY+u/AqdbOW4uV uLx1dk+5Cv3V96tgCnUAfeXgpiP+CZfiAgZJacfnfKK+ExdIODxX3V4NjE3/AATH8QoSQD9o5Bwf +P1a+Nf+FE/E8ANH4G8SyqeRu0e45H1CVjB2b9TSXQ+z/wBgeRZPgR8WiDkbX/8ASV65P9kv9oX4 bfDf4PeJfCPjp7qRdXvpmltobV5Elt5II4yCynjO1h612/7D3g/xH4N+A/xai8R6BqOhTyxyPFHq Fs8JkUWr5KhwCRmuc/Yh8F/DvVf2efGvjHxp4WstcGiX9zNLNcWolmWCK1ikKKGI/wBogZHJqHb3 rlK+hoN42/Y5YYPha6/78Xn/AMcpPHX7XHhLwr8PrXwH8ANHubG81GVovOjtXWSEuQP3YYl5JmJw GOdoAxzjDF/aQ/ZObp8Mpz/3BYP/AI9WloP7W37NHgzUk1jw/wDDy8stXt1Y280OkW8bhipGA3mn bnOM+9FvJhfzQngr9mf4dfA34aSeMPjwUvtW1F122DzSMYGbny1EbBpZT1Y8gY9iTU/4Tb9jn/oW bj/vxef/AByvl/4y/HDxF+0F44/tTVXcgt5On6Vb5aO2QnhEH8TE4y3Vj+AHrum/smeGPh74fstX +NHjuPwdPex+bBoNhH599t9WwGwfXCsB3OeKrl6yeor/AMqPQ/8AhNv2OT18MXH/AID3n/xyuU+K Xir9li6+Huvw+EvD09t4mktHXT5jDdALNj5T80hX8xVGz/Zj+FfxXhltvhR8UGu/EKIWi0fxFB5L 3GBkhG2IfyVvfHWvlXxt4c1jwx4xuvDer2U2majpU228hlGCrY4UdiCCCCOCCCODTjFPZsTb7H3D /wAFFf8Akmvwj/65zf8AomCvg65nMMeQpZicKoHUmvs39uv4keF/HHw/+FNv4f12x1e4htpJZobS YO8KtFCo8wDlDlWGGweDxXyHHH5a4796dPSIp7kEP7uML1Pc+poqwUVuoorUgfzRTDIP4QWP+zSY kfqwjHonJ/OmA9to+9j2o57c/WkWNV5A59TyadQAn1paKTaPpQAppMeho5Hv+lJu9eP0oA9C+Anw nn+NfxS0bwqkzWttcM0t3coAWigQFnIz/EQNo92GeK+tvGvxc+BH7M/iK48G6L8NbfxJqmngRXt5 NDFIwcgEoZpQzs3QkABQeB0wPl39mH4sWnwY+MmjeItSR20nElre+Wm50ikUrvA77W2sQOSAQOTX 1X8Z/wBjHTPj5rV98QPhv4w02Y6u32iW3mfzLV5SBlllj3FCepUqcEnp0rnn8VpbGsdtNynqXwk+ GH7Y3w51HxD8MtIh8H+M9NYLLYrEtvGznJCSonyYcBtsi4OR83QivhXVtMm0XVr3T7jb9ptJngk2 HI3KxU4PpkV6n40+FHxc/ZvaeS7XV/D9hcsqvqOj3ri1nIzsDPE3B+ZsB8Hk8c17t+x58Nvg18cP D8ml+JPDl5rHjq1Sa81G9mvbqOORGmIQgpMAWwy5+Ud85qk+RXvdCtzO3U+KufWl9iOP0rtfCjeF NG+LduniqxnvPCNvqEiXltbs+4wgsAoZWVs9OjA+9e//ALYXwd+Gng/4U+AvFfgPQJNJh191nDy3 dxIzwPAJUDLJIwB5HSrckml3I5dLnyMI42y0L+WemUwV/LpQ3mptLASLjDbRg/UD09q+hP2O9C+F njDxfd+GviDolzrGo6rLbwaL5E00McbASmbeYpE4I8vqD0OMc5938X/CP9mP4P8AxKk8P+MLe5ku tUb7RDbfa7r7JpMAjO0O6yByXZG6lzl14VeaUqii7WGo3Vz4G3M2Qg49T0pPL3ffO8/pXqPinwJo /jv4/XXhb4arHNo+oaittpP72Ro1jIGWLPl9q/MSTk4Br6Q8Y+G/2ev2U2tvDeveG7n4ieMWhSS9 eQ/LEG5BILBI89QoBbbjceQSOaQKJ8Rda774Fa94R8NfFPQtR8daZ/a3hmKRvtNuYxKuSjBGaM/f VWIJXuB36H648HfDH9nz46fDvxx4t8NeC7zTdR0yylaSzubueJbWYQyOjoscuwglc46fKPlGTnw7 9j3Q/hJ4w8RXPhfx/oV5rGu6ndQw6U0VxPHHGNjF9xjlTGcDkg9KXOmnoPls0ef/ALQmteB/E/xY 1XUvh/pa6V4dcRiKOOHyEZwgDusf8Ck9F/HAzgedc9+a9Y/ar8D6H8Nfj34o8OeHbL+zdGsvsv2e 282SXZvtYZG+Z2ZjlnY8nvXt/g74F/DX4A/CrSvHvxktZ9b1nV1WTT/DkRPy5G5QVDLubaVLFztX OME4y+ZRihWbbPjfNL+lfZ+j6V+zr+0vY3ulaXYN8JvE9vH5lvd3EiiCRQRngyBHxnlTsbngkA48 L8C6J8MfB3xY8T6Z8RbvUNe8OaPLcwWc2jYUahJFNsXhWOFdQWGJABgfMaFLyDlPI9o7UfrX218O /Gn7NXxZ8TWXgk/DGfQG1JxbWV/JIQxlPCKzpJvVicAHLAkgHivnD9oj4R/8KR+K+r+F4rlryxi2 XFnPJje0Mi7lDY/iHKn1254zRGV3awONlc+wPhf8QtJ+MX7KHxJmfwfpmkXPh3w9c2CTxokjzMtg x83OwFWyM9/rX56V9p/sjf8AJpfx3/7B97/6QSV8WHH0FKCs2kOWyNzwP4L1X4ieLNL8N6Hb/atU 1GYQwx5wM4JLMeyqoLE9gCa+2tU8FfAj9jnR7O28XacnxA8c3ESyvaywJOf94ROfLijznBbLHHfH HIf8E0fDNvqHxE8Va5MitPpunxwQbjypmc5YD1xER/wI+tfMHxQ8dXnxL+IOv+Jr6R5JtSu3mUP1 SPOI0HsqBVH0pO85cvRAvdVz69039pv9n74q3CaH4x+GFr4dtrg+UmorbQkQ7uMmWIJJGPdc4wCf UeZ/tO/sfN8IdMn8ZeGtXt9Q8DzNEYFmlJuIzKflVSF2yJjBD5Bweh6n5mrSn8SavdaYmmz6rfS6 egAW0kuXMSgdAEJwMfSmocr91hzXWplkZ7f0pscKwrtjUKvcY6/U96+qfhj8GPh/8Nfg3ZfFX4tW 15q8eqTCPRvDto5TzupV3IZSchWblgoXGdxYLXcfDvT/AID/ALVk2oeEtN8ESfD7xOLZ57C8tZSw bA5PBCtjglWHIzgg0e0S6BynxB+FJ/Ou80/w3pfw7+MiaJ4+tJLrSNJ1Q2urW9sWDSxo5DbCrK2C BkEEcEc19hfED4F/s52nwr8NfEM2uoeFfDN1OsoWCa4mutQDI+y2CySOEJKliw5wh5GchymkJRuf AW31FFfdXwu8O/sz/tGT3Pg7QvCWqeE9cWB5LO4mncTSBRyyN5siuy9Srg8DIzg4+StW8KW3wt+M Mug+LLZ9U0zRdYWDUYLcmNru2SUb9hDArvjBx8wI3DkU1K+lgcbG7efs+6np/wCz9Z/Fa51K2XT7 69+x2mnxqzSsBJJGzu3AXDRNgDdkeleVNGG+8A31FfpVr3iz4OQ/se+HNVu/BOqS/DeS/dLPQlu5 BcRS/aLgFjJ5+4jeJG++eGHHYfDd54d0r4tfGePRfhxpE2j6VrF5Fb6dY3krO1uCqh2dizkgEO5+ Y8flUwk3e45Rtax5v5QX7pKfTkflSYkHXa/6V9n+MG+AP7Mesf8ACH3vgu6+I/ia2jQapqF5Nsjj dlDbVUnaDgg4VeAQCxIOMz43/A/wD43+B8Pxi+FVnPo9lA+3VNFkLMI/nCMVBY7WRmGQp2lTkYxy +ddg5T5C3AfeDL7kcfmKUAN90gn2619D/seaD8LfGHjC78N/ETRLnWNS1aa3h0XyZpokjYCUzbzH InX931z0OMc5908ZfB/9l/4RfEiTw94ytbiS61Q/aIrcXd0LbSbcRnaJJEkEhLsh6lzl14C80Ook 7WBRurnwCVzkKM+pPQf4mhYFXJIyx6k9TXtS/DDwz8TP2n08HeB7wWnhHUNT8q0mjd5Qlsse9ypk JYnCvjceuK9z+IHi/wDZ2+BvjW48BT/Cm417+zmWG91SabdMXZVJK72y2AfVBnOOMUOfZC5T4hNu vpim/Zs/d6ev+FfQ/wC058LfhV4PtNM1/wCG3jO11i21abLaHHfxXMlghj3c4YyKM8bXGQcgk14F tz06e1WnzK6E1YqfZQOMU37Gnpz+VXTx9KTHqPw/xpiKP2EH/Hv+FO+xhf4cD2qZ5mldo7fBYHDy nlU/xPt+dSRwiGMLuZsdWY5JNAFU247j86ja0Vv4SF9R1P09BV/ZnqOPT/Gl2CgDLfS4n4Kj8ulV JfD8WcoDGfVTitVJi0swPKq21FCnceP8aduXaTKBFjkruBx7nFAzB+xXsP8Aq5t69hIM5pBeXEPE 1uSB1aM5rolVZFDKdysMhvWmtbr3XAoAxotVgbgvsb0cYq5HMGGQQR6inzaXFcfeQEehHJqm+gBS TEzRH1Q8UAX1enbqy/s+oW/3XWYejjn86P7Slj/11u6D+8vIpCP0J8D8/wDBMvxB9bj/ANLVq9D+ 0L+1UsMYX4U25UKAD/ZFxzx/12rL8AXCTf8ABMPX5A3y5uOTx/y/LXksf/BQz4wJGqrf6TtUYH/E uT/GuZRvey6m17WueweJPj7+1DfeHdVt7/4XQW9jNaSx3Ew0m4BSMoQzZM2BgEmoP2S4x/wxB8Y1 IyGGpA/+AEdekfsx/HfxX8dvgx8S7/xVPaz3FhBLDAbW3EQCtbOxyB15rzn9kn/kyP4xf9xL/wBI I6XRqw/M+A20mPqm6M/7BxUZtbqL7k28ejj+tadHFdRge9fsC+HbXXfj/Ffaxaia38P6Zc6yiD5g 0kexVOPUGTcPdRXV/CWHQPjFH8Uvjt8WY73xBpmhyIU0WGRk8x5DiNCQQRGgMagA45JOcc+b/sq/ Fa2+Dvxq0XWr/b/Y9wG0/UCw+7BLgF/orBWPspr07xJrmtfsQ/GfxRolnplp4j8CeI4hcLpeoDdb 3loxbYAcEbky6E4II6g5GMZXu7Gi2I/iLoPgbx98AZfjJ8KNHuvAmteHtVis7yxW6Z4wxZNskbn+ JTJG2Vx/FkZANV/2xdSh8ceCfg18QZ4Uj1/xDos0WpSxoEE0luYl34H+1JJ+G0dqp+JPjNrn7TE3 hn4TeCvCel+CPD11fKy6XpYyrSckyyMFUbEG5yAvbJzgYT9tjxTo8fibwx8N/Dredo/gHT/7M+0H lpLhgnm5PqPLQH/a30JO6uD2Z832syMznOQp2k+9XFkVuhzWAvnaajxhDNCWLBl+8M+tJHqce7BY o3owxWxmdFRWVFfHjDZFFIDV6duPajPpS4pP0NUAUtNz7ZpRz0oAXI7daSj60Z9KACj260fWigD1 r9nj9ni8/aE1nVtOsdctdFlsIUmzdRs4l3EjCgHqMZrA8Wab4l+APxM1vQrHXL3TtU0u48hr7TZp LYyDAKsMEHBBBGexrA8E+MtU+Hvi3SvEejSrDqemzrPCzrlSR1Vh3UgkEehNfZOp/tLfs9fG+1t9 Q+Jfgm6tPEMcSpLLDG53Y7LNC6uyjnAcDFZSck+6LVmvM7j9jb4sa1+0f4A8Z+E/iBGmu2lnFFAb +WNQ08UwkBR8ADcuwENjPOTyMny7/gm9bpZ/FvxtBFMtzHFpmxZk6SAXCgMOTwevWqXxE/bO8H+E /AN94H+CnhaTQrS8V45tUmQRMAy7WZAGZmcjje7ZGOnQjwn9nX41XvwD+JVv4mjtRqNrJA9ne2Yb Y0kDlWIVuzBkRhnrtx3rPkbUtLXK5ldHEeL8x+LNajKMJFvZlYEYIIkbg19e/tdKW/ZL+A+f+gfZ f+kEdU/GXxq/Zh1rWLnxWfhxrOqeI7t2uJbKRjbW8k5OS0oWYpyepCtk8kHmpPjF+1t8LPi18F4v Ddx4O1S08QWlgiaesdvCljYXPlqp8orMD5a4KrlOgHyiqu21oLRX1PEv2SsD9o/wH6/2gP8A0Bq3 f25CW/aj8aAnOBZAf+AUFN/ZU+LXw6+D+vanrPjbw/qWs6nG9vLo9zp0aO1oyiUSk7pUHzbo/wC9 909O/T/tQ/Hb4R/GbSrvUPDfhTWLDxxdXUEk+rahDGgeJI9hU7J352qg+7/D1qtee9hacpz/AOwv c2dr+0z4W+1AbpI7uOBm6LIbaTH4kbh9SKwP2uLO+s/2jvHS34YSvfeYm4dYmRTGR7bCv5V5j4f8 Qah4V1yw1jS7l7PUbGdLi3uI+qOpyD+Y6dDX2Dq37RvwN+P2m2dx8WPCuoaV4ps4hC1/pgYiRQSd qsjBsZJO11O3JweTQ7xlzWBaqxZ/YX/5IX8af+vRv/SWavn/APZLAb9o7wEccjUOD/wBq+0fgz4p +Hd58Cfio3w98OT+HvC2m2NzHJqF8xae9l+zSM7MSWOFUpgE/wAXQdK+Uv2V/i58MvhBe3mreNfD ep6xr0NxHNpV5p0aObYBWD53TIMkkdjWabfNoV/KJ+2kYY/2tvFclyN9qs2nmaPGdyCzt9w/LNep /wDBTCO4k8T+A71G3aRLp8y2zL9wyb1LY7cqY/yrz79q743/AAv+NUcWq+FPDOq6Z4tmvEkv9S1G KNPPhSExqnyTOMjEf8I4XrW78Mf2qfB3iT4Y2vw3+NHh6bXtEs1WOx1S2G6aFVGE3DcrAoPlDock cFTyS9bRdthaarufLdjpt3qUrRWlrNdyqjSskEZdgijLMQOwHJPaveP2ZfgBoHxF0HxP448cajca b4J8NLuuFtOJblwu9lBwSAF28AZJcAEV6La/tGfBn4A6LqJ+Dfhi+vfFN9CYl1bWQxSAHoPnYsQD g7FChsDJ4rz39nL9pvT/AId2/irw34+0ifxD4S8UM0t/9nCmRJXBV32krkMMZwQRtBHpVNyknZCS Sep3vwz+IH7O918UvCNl4e+F2tWeqPrVnHYancatKTHMZ0EcjxmZlIDYJXB6Vyv/AAUK/wCTibg/ 9Qy1/k1buj/FL9mr4S+KtL1zwj4b1/xPqkN1HMsmotiOxQSLukjV2G+RVyUBBG4DLL1rmv2uPj18 Ovjo2man4Y0DVdP8Rxybby/1OKNPNgCEIg2TP0Jz0H1qY35k7Mp/DY9D/ZG/5NL+O+P+gfe/+kEl fFjMsa7mO0f3jX3B8Nf2ufgT4D+Hc3heDwR4jig1OyW31lILeEx3jmHy5TlrnOGBboBwe1fJfxV1 Twtr/wARNY1Hwbpc+j+G5nQ2VjcgB4VEahgQHcDLBj949fwqoX5ndEytZHvn/BOv4iW3hj4xX2h3 sgt7fxDZeRA0jbd1xG2+NcdOVMgGeckAda8o/aN+EOo/Br4qazo91aGHTJ55LnTJ1TEc1szEpt7Z UHaR2I9ME+a2t1NY3UNzbTSW9zC6yRTRMVeNgchlI5BBwQa+yvCP7b3hTx74Tt/DXxs8IjxCsONu qWsCSb25AdoyVMbY6tGecngU2nGXMgVmrM+MVXcQFBJPAA717R8Sv2V/Efwr+E2heN9c1CxtTqTI jaPLuS7iZ9zIuMYY7BuYcFeRzivddP8Ajt+zB8JnGreDPAd3quuRnfb+fFI/lvjhvMuJH8v6qCRn pXzb8dvj94k+P3iZNT1t0trK2BSx0u3J8m2U9SM/ec4GWPXA4AAAFKUnorILJI+zvjD8UvDHw9/Z /wDhDqWp/DfT/iBoF1pkEMP22dYkspBbRFFAMUmSyh/THlnr28c8OftreAfB+sQatofwD0XSdTg3 CK7s9SSORNylWwwtc8qSPxrI+Av7V2gaD8PX+G/xR8Pv4m8G5P2aWNRJLbgsW2FWIyoY5VlYMvbP GOlPxW/ZZ+HMx1Twv4A1DxLrC/NbwX/mNBGwORu8+RgOcchGNZ8ttGrl3vqmfNnxk+IifFj4l674 tTTBo41SVZfsQm87yyI1U/PtXOSpPQda+n/j/wA/sA/CT/sIWn/pNd18v+H/ABH4ab4rW2u67oCr 4UfUjdXOiaflgtuXLGGPcy5ABwMsOnavrrxN+158APE3w/s/B934E8ST6Fp3z2NlJbQiOCQI6owI us8B26k9auV1ay2JXW7PCf2G/wDk6TwV/wBvv/pDcVifta/8nH+Pf+wh/wCyLXafso/HD4XfBWKX VfFfhnVdT8Ww3jyWGpabFG/kQvCI2T55k5OZP4Tw3X0zv2qPi98Mvi/e2ereCvDep6Rr01xJNqt5 qMaIbkFVCfcmcZGD2FGvPewtOU9I8Xf8o1vBP/YXk/8ASy8rzb9hOe0t/wBprwubsLveK7SBmHSQ 20mPpkbh+Ndd8HPj58NdS+AY+FXxSs9Sj0+zuWuLK801dxw0jS9uVYM79iCGrx7x54q8I+Ffidpu t/CM6rp2n6WIZYJ9UIMrXKMSXADHKkbeDjPIxikk9Y2H2Z9IfGv9ozwH4P8Aix4p0fX/AIBaJq+r Wl9Ikuo3V5GJLsHlJiDbEjehVsZON3U1x/iH9trw9efCzxJ4G8PfCSx8MWGs280bNY6mvlRSugXz TGLddzDavcfdHNddqH7SPwF+PGm2d58V/B15p/ii3iEUl3YCTbIB2WSJ1crySFcHbnAJ615n8Zvj B8HLjwDceDvhr8ORZCaWORte1Li4RkbOUJZ3bILD5mAAY/LUxitE4jb63ON/ZJUf8NIeAjnJ/tDq f9xq3f25WLftSeNASSB9iA9v9Cgpv7Kfxa+HXwf17U9a8b+H9S1nU43t5dHudOjR2tGUSiUndKg+ bdHj733T079N+1F8dvhF8Z9Ju9R8N+FNY0/xxd3UDz6vqEMaB4Uj2FfknfnaqD7v8PWr1572J05b XPnrwX4k1vwr4t03VfDHnHXtPlFzbm3j8woV7sMHI7EHqCa+um/aa+EHxu2WPxn+Ho0nXdqwya3p 6MSpGPvMu2ZAD/D84FfM/wAFPi5qvwJ8bReJtDs7G8u1heBob5XaNlfG4/Kyndxwc/ga+jfEvxO/ Zj+LmtHxd4r0fxHo/iG6Ae/sbUsY55AAM5U45AAyNhPUjPNE99UOO255j+1T+zrpvwTvPD+r+GdU k1jwf4igaewmmwzx4CttLKAGUrIrK2BkZ44yfAmj/ufI3t/UV7n+01+0NafGy78P6V4e0d9A8HeH Lc22m2crDeQVRdzKpKrhURVUFsAHn5jXh8kiQpuc4H6mrjfl1Ila+hHHISo3jEnQgD+VPOWQgZjJ 6HuKZGskjh3JjUfdjH8z/hUvt3qxEa7o1C+WMekfH6UCRd3J2t/tDFS4ooASjik2jsMH2owy8ghv rxQAvvn/AOtUMtjHMwZgeuSoOA319al3Y+8pH6il3Dsc0AKfU03b6j6Cnc9+v8qOv0/nQAm3NJ5f tT8VFJKfux8seBQBDcSbMRooknb7qdvqfQUR2uxcO3mSHlnI4/AdhU0MIhDfxO3339akxn6elAH6 H/s3+A7D4qfsMy+CJtXt9I/tWW6iNw4VzHi635Kblznb6jrXnH/Drmxj5g+LcEH+7poI/L7RXxsV zkfmaTb04+grLkld2ZfMuqP0U+Gf7JHjH4R+Hda0Lw58bdLt9M1gEXkc3h6KRnyhThjPkfKT0qbw b+yb4o+H/gHW/Bmi/GfTLbw/rXm/bbeTQopHfzIxG+HafK5UAcdOtfnJs/GmNCrdRS9m+/4D5l2P twf8E07L/oq1mf8AuGr/APJFQ6h/wTasrOxuLj/ha+nJ5UbPuuLBY4xgZyzeedo9TjivhyfR7ebk xj6jg1WbSZ4P9RcOn+y3Ip8s/wCYV49jQkXy5GXcrbSRuU5B9xX13oH/ABlV+yzPojf6R8Q/h1H5 9kTzLeafjBQepCrt+scf96vjIzX1v/rIVmX+8hwa734HfHS++B/xG07xTp8TSPb7o7mylYolzCww 8bMAcdiDg4Kg4OKqSbWm4on0b8AbSH9nH4D698Z9UiT/AISXWVbSfC1vMOfmyGmwe2VJ/wB2Ij+O vk26vJtQuprq5lee4mdpJJZDlnYnJYnuSTXqP7Q37SNz+0JrGkSx6XB4d0LSbb7PZaPaziSOIk5d 8hVGThRgKMBQK8m3URXV7hJ9EOZQ1RSWqScMoP1p+aXJqiSi2kx5ymYz/snFFXt3qKKQGhuoquzN H907h6HrUf2oZwTtPoaYFvcKQn8Kq/aMUn2oDnNFwLf6/WgyKoyxx9apfamb7vyj3pDcRpyxyfU8 0XAv7hRmqS3X4D3qOSYyYGeO9FwLv2gHIj/eEddp4H1pNpfl2z/srwKoieJFIVtoX+FOKkjumbkj C44z1ouBeGF4AwKXNU/tHvmj7SO9Fx2Lm78aTj1x/Kqv2j3pPtQouIt7se1G4VV+0Ck+0D6Gi47H TeCvEkfg/wAXaPrkmnW2sJp91HcmyvM+VNtYHa2D04+nqCOD9bal+0F+zX8Vpm1Lxv8ADO+0/WpD 5k8tiCqyuRyTJDLGzn3Za+I/tHvmj7V74qZRUtRptH1j8bP2uPDuqfDSX4c/Czwu/hbwvcHF1POq xyypuyyKilsbiBl2YkjjAr5Z3fhVT7QM0v2miKUdEDu9y3kUhxVP7QOx5pftHrz9KoVi1n0o+vNV Ptajv+FN+1luBxQFi3IyPweT1GOtIuCeTuP51W8wHqfwFL9oAGBwPSi4WLfOPuj86Czdlz+NVPtX vSi6BouFiz5jf3f1ojlEqBhkZ/Oq3ngg81GtwY1CkZ7Aii4rGhuFISKo/bFzjOD/ALVP+0D60XHY tfjilz7VU+1D1o+1D1ouFi3uHrzRuqp9opPtA9eaLisXMijNUzc+tJ9o3d8D07mi47Fvd2Az/Kge ucn1qt9oAA6Yo+0DueaAsW91JuH41U+0Z6Gj7R75ouFi39aN1VPtQ9aPtVFwsW9wpM//AKqq/aAe +TR9o96LhYtcf/qpu1WkDkAso4J7VX+0j1pPtGfpQFi3u/8A10oIqn9o96X7QD15ouFi3upNw7da qfaB2OBSG6Ve4xRcLF3gf560VR+3J/fH1zS/bF7MDRcLF3cB/hTTg9RmqgulGTnPvS/alPei4WLX HYkCgsVyfvD261W+0j1o+0D1ouFiZ5AV3NlE/U0seBzkbv5D0FV/tANHnq3UUAXN35Ubs/41SMyk 4HHuDR5qj6fWi4WLvH4dqM/nVCSYKAw4IPJHpUn2oY4ORRcLFvcKOPX61U+0ij7QD34ouFizgdcf Sjj1+tVvtHvzR9oHrxRcLEzKD2zUElrHIMMoPrkUfaB+NJ549eKLgU5tDhY7kBjPbacVAbO9t/8A VT+YPSQZrTaYfjTfOHrQBm/2jcQf6+2OP7yVLFq1vJxv2H0birTOp+tVZrWCbhlU/hQBaWZWwQwI 9jRWSdNVWJhlZG9FNFAWO1fw1dt0kh/76P8AhVeTwnfP/wAtLc/Vm/wrrqK+Z+v1j91/1Qyv+WX3 nFf8IXqG7Imtx/wNv/iaP+EN1L/ntb/99t/8TXa0UfXq3cP9Ucr7S+84g+DdUP8Ay2tQP99v/iaV fBeoLz5tvn13N/8AE121FH16t3D/AFRyvtL7zi/+EP1L/ntbf99t/wDE0n/CG6l/z2tv++2/+Jrt aKPr1buH+qOV9pfecV/whuo9fNts/wC83/xNH/CH6l3mtv8Avtv/AImu6s7ObULyC1to2muJ3WKO NRyzMcAD3JNLe2c+m3k9pcxNBcwSNFLE4wyOpwQfcEGj69WF/qllV7Wf/gRwn/CHal/z2tv++2/+ Jpf+EP1L/ntbf99N/wDE12lW7rSbyxs7K7uLeSG2vUaS2lYYWVVcoxX1AZWH1Bo+vVg/1Rypbp/+ BHn/APwhuo/89rf/AL6b/wCJo/4Q/Uv+e1t/323/AMTXa1atdLu760vbq3t5JreyRZLmRRlYlZ1Q FvQFmUfUij69WB8I5Ut0/wDwI4H/AIQ7Uf8Antb/APfTf/E0f8IfqX/Pa2/77b/4mu0oo+vVu4/9 Ucr7S+84v/hDtR/57W//AH23/wATR/wh2pf89rb/AL7b/wCJrtKKPr1buH+qOV9pfecV/wAIbqPa a3/76b/4mj/hDdS7zW2P99v/AImu1oo+vVu4f6o5X2l95xX/AAh2pf8APa2H/A2/+JpD4O1PtNbf 99t/8TXbUUfXq3cP9Ucr7S+84j/hCtR7zWx/4G3/AMTTh4N1Jek1tj/eb/4mu1oo+vVu4f6o5X2l 95xX/CH6l/z2tv8Avtv/AImj/hDtR/57W3/fbf8AxNdrRR9erdw/1RyvtL7ziv8AhDdR/wCe1t/3 03/xNH/CHaj/AM9bb/vtv/ia7Wij69W7h/qjlfaX3nFf8IbqX/Pa2/76b/4mj/hDtS/57W3/AH23 /wATXa0UfXq3cP8AVHK/5ZfecV/whuo4x5ttj/eb/wCJpv8AwhepL92e3HsXb/4mu3oo+vVu4f6o 5X2l95xP/CHal3ltf++2/wDiaX/hDdS/57W//fbf/E12tFH16t3D/VHK+0vvOK/4Q7Uv+e1t/wB9 t/8AE0f8IdqX/Pa2/wC+2/8Aia7Wij69W7h/qjlfaX3nEjwbqOcma2P/AAJv/iaX/hDtS/57W3/f bf8AxNdrRR9erdw/1RyvtL7ziG8G6nj5JrXPu7Y/9BpkfgfUlYs09u7nuXb/AOJruqKPr1buH+qO V9pfecV/whupf89rYf8AA2/+Jo/4Q7Uv+e1t/wB9t/8AE12tFH16sH+qOV/yy+84r/hDdS/57W3/ AH03/wATR/whuo/89rf/AL7b/wCJrtaKPr1buH+qOV9pfecV/wAIbqX/AD2tv++2/wDiaP8AhDdS /wCe1t/323/xNdrRR9erdw/1RyvtL7zif+EN1LvNbf8AfTf/ABNL/wAIbqX/AD2tv++2/wDia7Wi j69W7h/qjlfaX3nEN4N1PtLa/i7f/E0xvBmrnjz7Qf8AA2/+JruqKPr1YP8AVHK+0vvOAbwNrDdb q1A9A7f/ABNM/wCFf6kes1s31kf/AOJr0Kil9erdw/1RyvtL7zzlvh3qZ/5b2oH/AF0f/wCJpP8A hXWq9ri1H/bR/wD4mvR6Kf16sH+qOV9pfeec/wDCvNW/5+bb/v4//wATS/8ACvtY/wCfq2/7+P8A /E16LRR9erdw/wBUcr7S+887/wCEA1n/AJ+7b/v4/wD8TS/8IHrX/P3bf99t/wDE16HRR9erdw/1 RyvtL7zz3/hBNa/5+7X/AL7b/wCJpf8AhBtb/wCfu0/76b/4mvQaKPr1buH+qOV9pfeef/8ACD63 /wA/Vp/303/xNL/whOuf8/Nmf+Bv/wDE139FH16sH+qOV9pfecB/whWt/wDPxZ/99v8A/E0n/CD6 1nIuLNT7O+P/AEGvQKKPr1buH+qOV9pfecEPBmtd57M/8Df/AOJp3/CG6z/z1s/+/j//ABNd3RR9 erdw/wBUcr7S+84X/hDdY/57Wf8A38f/AOJpf+EN1f8A562f/fx//ia7mij69W7h/qjlf8svvOG/ 4Q3Vv+etp/38b/4mlHg3Vf8Anra/99t/8TXcUUfXq3cP9Ucr7S+84j/hDdU/562v/fbf/E0f8Ibq feW1/wC+2/8Aia7eij69W7h/qjlfaX3nEf8ACG6n/wA9bX/vtv8A4mmt4L1Tadstrntl2/8Aia7m ij69W7h/qjlfaX3nDQ+CdSiXHnWxbqTvb/4miu5oo+vVg/1RyvtL7wooorzj7QKKKKACiiigAooo oA9H/Z/8baX4B+JVhq+uQWVxpFurTTLd2YuX3IpePyQfuyl1UK2QATk8Zp37QXjjSviF8SLzWdCt 7O10m5RJ4o7azW3k3uoeXz8fflEhcFskHAI4xX0p+w98LPB/jn4V6vfeIPDWm6xeR61LCk95brI6 xiCAhQT2yzH8TX0R/wAM8fDL/oRNC/8AAJP8K74UZzpqz0PzzGZ9g8FmM5Spyc4rl6W739T8nred rW4imQKXjYOodQy5BzyDwR7Gvon47fGPwh4y+Fug6D4fsNGttX00xwXslrpIhVgyeZIbN/8AlnEJ i4YYBbII4zn7Y/4Z4+GX/QiaF/4BJ/hR/wAM8fDL/oRNC/8AAJP8KuOGnFNJ7nHX4owOIq06s6Ur wd1qvxPyar6M+BHxi8I+Dfhfr+heIrDRbjVNSMlvZSXOkiYKFQyRm8YD95F5wjCjBKkMTwBj7Z/4 Z4+GX/QiaF/4BJ/hR/wzx8Mv+hE0L/wCT/CiOGnB3TDF8UYLGU/ZVKUrXT0a6H5PXE7XVxLM4UPI xdtihVyTngDgD2Fe2/s2/BHwj8aprvTdY8UXOj68JD9ksbeIMZogm5nyRgY571i/tUeH9M8K/Hrx Tpej2EGmabbm28q1tUCRpm1iY4A6ZYk/Umul/Yd/5OE0n/r0uv8A0Ua5IRSqcr11PsMbiJVMrliq EnB8vMtu17dTqtU/Z3+CWnaxeaLN8XpLHVrad7WVLq3ULFKjFWViQBwQR94D3rzT41/s2eI/gzHB qUs0GueGrlgLfWbH/VkkZAdcnYT25IPY9q5n43f8lo8ff9jBqH/pTJX0h+xlrD/FLwH42+FuvyNe 6SbMTWYlyxtw5KsF9AH8t1HY5PetEo1JOFrM86pUxeXYeGNdZ1Iac0ZJbO2sWktr7M+dvgj4F0X4 kfEbTtB8Qa2ugabcBy10WVSzBSVjVm+UFj3P88VlfE3wzpvg3x9reiaRqqa3ptlcGKC+jIIlXAPU cEgkqSOMg16b+zv8HfAnxR1q58N+KPEWpaT4qa5eGysLGPcsyRxs8hLmNlBGxurDOOK871/wC0Hx f1HwRpMjTumuyaNaSXBG5yLgwoWIGMnjOBWTj7i0PXhiYyxtSPO0oxXutWW/xJ9e3Y4+ivqvxJ8H fgL8L9cTwf4t8T+IpvEgSP7XfWaKsFszqGXK7GwMENj5uDya4rxl8AfDPwn+J2n6Z4y8WeZ4P1CG ae31LSUMlwqqPkEibGAJYgfLuBHPHSh0pImlnGHrWUYy1TcfdfvJfy9/zPKPFHgHxD4JtdLn13Sp 9LTVITcWguMK8kYIG7bncvUfeAzWBX3h+1VoPwt1Cx8Jt4q8S6tpl1Do7DSo7S3LrcJhdpkPltgk 7fTrXjP7M/wF+H3xv0+ex1LxLqtn4shElw+m2cYCC2VkUSb2iK53OBjdn2q5UWp8kWceFzuE8F9b xEGkt7Rdt3t5aavoz51r1b9nf4V+Gvix4p1DTvE3iVfDlvb2bTwneiNMwIBAZ/lwoySOpH0Jru/F XwX+DPhPwx4otJPiBeXvjjRreQfZY5I47aS6CsRCoMRL4I2thuvHByAz9mz4CfDr43aYbK+8T6ta +L4kluZ9NtIwI0t1dUDh2iKnJdeAxPPSlGm1NJ2fzNMVmdKeDqVYOcEtObld1fW9n08z591qyg03 Wb+0trpL+2t7iSKK6j+7MqsQHHsQAfxqnWt4T8L6j428SadoWkwfaNRv5lghj6DJ7k9gBkk9gDX0 lrHwV+BfwnuBoHjvxnrF/wCJ9i/ahpEeIrQsMg4Ebc4IOCScYO0ZxWcYOWvQ9DEY+lhJRpSvKbV7 RV3bvZbI+V639T8A+IdF8K6d4kv9Kns9E1GQxWl1NhROQM5VSdxGP4sY969h+Iv7OPhvwBc+H/Ev /CaQap8NtWvYbf7Za5a/iR0dy2wIVYARnnrkgbBXu/xU8PfCa6+Avw7tdd8U6xZeFYc/2VfW9sWm uPkP318s44z/AAitY0XrfoeXXzunF0XQi5Rm7P3X0T0/xX6dj4Ioq1qsdpDql4lhK89iszrbyyDD PGGO0kYHJGOwr1T4BfAJ/i8+ratquqL4f8IaKnmahqbgEjALFEzxkKCSx4UY4OQKwjFydke7iMTS wtJ16ztFf1t3PIaK+ndN+HH7O/jrVofDPh/xb4i0vWpnEFnqGoRK1vcynhQQUXqegOzJIA6gV5Nr Hwvg+G/xdHhTx/dTabpkE2Lm/sULloCpKSxjacg8duOQeQat02tTko5lSrOUOWUZJXs4tNrul1+R 6d4R+Bvw78H/AAl0Xxz8UtW1VDrjH7BpukgbtnJVj8pJOBuzkABgOTXjvxTs/BNn4mVPAN9qd/ob W6uz6qgWVJiW3IMKuVA28465619kfGbw/wDCa8+Dfwzt/EfinWNP8OQWuNIvLW2Ly3KeUgzIvlna du09B1r4NvFhS8nW2dpLcSMI3YYLLngn3xWlaKhaKSPJyWtPGueIqSne70atG12lbTdW1133PQPg r8CvEXxw16Sy0dY7WxtsNealcZ8q3U9PdmODhR+OBzXst58D/wBnfw3ef2NrXxU1KXWkYxySWSqb dXHBBKwSKuD2L1qeJtUk+Cv7FPhmz0U/ZdU8YSb7y7jAVzHKrO/OOvliOP6E18gUPlppK12VS+s5 rOpUVV06cW4xUbXdtG22n12R738X/wBk3WfBOmw+IvCN2fHHhK4TzUvdOj8ySJME7nVNwKYB+deO OcV4JXdeEfjh448C+F7/AMOaJr0tpol8HE1m0MUqkOu19pdWKZHXaR69a6T4BfAJ/i8+ratquqL4 f8IaKnmahqbgEjALFEzxkKCSx4UY4OQKhpTaUEd9OrWwFGc8wqJxjtJLVrzVt+mm55DW94ETw/J4 u0tfFT3Efh4y/wCmtaf60Jg/d4POcV7/AKb8OP2d/HWrQ+GfD/i3xFpetTOILPUNQiVre5lPCggo vU9AdmSQB1Arwv4mfDnVvhT401Dw3rKKLu1b5ZY87Jozyki+xH5cg8ik4OPvbo1o46ljHKhaUJW2 a5Xba6/rQ9U/af8AhD4N+HPh/wCH+s+DGv3sfElrNebr+XcxjCW7xEDA2nEpyK8Cr6f/AGsv+SL/ ALPv/Yvn/wBJrKqen/s9/D7xF+z7qnjzQ/EurX+r6Vp6PfWjII4Ybzy0aSL5ogWUF+qkg+prSdPm m1H+tDzMBmCw+BpTxMnJylKN9/ttK7Pmyivav2a/hP4F+L+sT6F4k8Q6jpWvzyY02zsY8i4VY3kk JYxsq4CdyM+9cN8SPB+n+B/iprfhtLmZ9M0/UGtftEuDJ5YbBY4GM49BWPI+VS6HtRxtKWIlhVfm ir7Pbuu5x1FfWut/srfC1/hzp3jnSPiJe23heS4PnajqUH34VMiOsUXlo5lMiBQCOgY4PFO8O/s3 /CT41eHdTi+GfijVl8R6dEGMerABJCful18sEKSCNyH5c8g8CtfYy2PL/t7Ccrm1LlTs3yu0Xt73 Y+SKmsfIN5bi6LC28xfNKddmfmx74zX0z4b+EXwF03Wk8KeIvHmpar4lmkFq93pieVYwzHjYjlGB wxxuJK8c45FeV/tCfBmb4HfEKTQftTX1jNAt3ZXLqFZ4mLLhgONwZWBx1wDgZxUSpyiuY66GZ0MT W9hFSTaurpq67q56d8Yfg38M7D4C2vxA8ByatLHc6gtrG2oS8FQXV/k2g9Ur5mr7W8D+G/Dfif8A Yn0CDxb4gPhvQbfVJrm4u0j3yPtnmAjjXnLMTxgHoeDXK6P8A/g58ZrK8074aeLdTtfFVrCZYrTW h8lwB3I2KeehKk7c5K1tOnzWcbao8PA5pHCRq08Q5yUJyXM02kk7K7PnLwDoOn+KPGui6Rquppo2 nXl0kM9/JjbChPLc8D0yeBnniuk+PPw90P4Y/ES50Lw9rq6/p8cMcn2jejtG7A5jYp8pIwDx2YVs fBv4Y+E/EPxAv/CXxB1jUPDWqLdJp1nBaRF2luzL5ZiY+W4XnHJwPesP49fDux+FHxY13wrp1zcX dlYeR5c10VMjb4I5DnaAOrkdOgFY8toXse3HEKpj1SjN6Rva3uvVaqXW17aHAUV9F+H/AAX+ztoe nWH/AAkXjfW9b1K5hjkm/s+1aKG3LAHBHlscrnB+Y9Dxniue/aM+Adh8JY9A1vw3q8mu+EteiMln dTbTIh2qwDMoAYMrAggDoRjjkdNpXHTzSjUrKg4yi5Xs5RaTt2ueK0UUVkeuFFFFABRRRQAUUUUA FFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH0h+zbp/wAcbvwPfv8ADPUL a00Iai4nSb7Nk3HlRbj+9UnGzy+nHH1r1j+xf2tv+gzYflY//G65r9jn9oDwH8KPhrquleKNbbTd Qn1eS6jiFnPNmMwwqGzGjDqjDHXiveP+Gz/g9/0Njf8Agsu//jVelTUORXnb5n5bmdXHRxlRU8FG cb6N027/AD6nln9i/tbf9Bmw/Kx/+N0f2L+1t/0GbD8rH/43Xqf/AA2f8Hv+hsb/AMFl3/8AGqP+ Gz/g9/0Njf8Agsu//jVa8tP/AJ+P7zzPbZj/ANC6P/gpnln9i/tbf9Bmw/Kx/wDjdH9i/tbf9Bmw /Kx/+N16n/w2f8Hv+hsb/wAFl3/8ao/4bP8Ag9/0Njf+Cy7/APjVHLT/AOfj+8PbZj/0Lo/+Cmfn 78bofFtv8UNaj8dTR3HipfJ+2SReXtP7mPy8eWAv+r2dB+teh/sO/wDJwmk/9el1/wCijXIftKeM tH+IHxs8Sa/oF2b7Sbw25guDE8e7bbxI3yuAwwysOR2ra/Z9/aA0r4G/bLibwRbeItWkl3Qak12L eW3QptZFPlOcH6iuCLjGrdvS5+h4iFevlHs4U/flBLlVo2bXna1uxxvxu/5LR4+/7GDUP/SmSvpT 9k3Rz8E/hT4w+KviNTZ29zaiLToJV2vcKuSpXPXzHKKvrtJ6EGuUu/2uPA9xqs+rf8KN0F9Ylma5 a8uLqOVjMzFjI2bYEtkk5znPNeWfGT9oLxX8bLuL+2Z47XSrdt1vpVmCkEZ5AYgklmwcbifXAGcV SlCm3NO7OOpQxuYUIYKpS9nDTmbabaXRJX3tuzov2O55Lr9prwnNKxeWRr13Y9STZzkmuZ+JNxqd n+0R4tutFSZ9WtvE97cWv2eMyOJEundSFAOcFc/hW78APj3o/wAEWuLq58DWviTWDMZbXU5LoQTW qmMoyKfKc4IJ7jqaXx5+0VHrXxI0jxt4S8J2XgvWrJpppZI3S5+1TS53Syfu0ycM3XPXNTePs0r6 3OqVPFf2jOpGj7jhyptqzau9Ve9ne2x6jffG74X/ABku4bD4weC7rw54mVEgfW7HehTjhnHDqMNw rLIBmvHP2ivgp/wo/wAcx6Vb3x1PSr22W8srl8bzGWKlXxxuBXqOCCDx0Ho91+0t8M/GV9b+IfGn wpj1LxfEF826tLxo4Ll1AAZ0yAeABhw+AMZNeR/Gr4xar8bPGR13UoI7KOOFba0soSSlvECSFz3J LEk45z2AAFVJRlHV3f8AW5y5bh8TRxEVCnKnTs+aLkpRv05NW7b9lboezfty/wDNMv8AsB//ABFR f8E9f+S0a1/2L83/AKU21Ubj9pTwN468I+G7P4ieAbjxFreg24toLq1v2t0nUBRl9pBGdoyORnJG M4rO+Bv7T2h/BGwultPh3b6hqc002NUOoCKcW7srCAt5DFgCg5zyRnAquaHtVO+hy/V8Z/ZM8AqL c1dbxs7tu61/Ox4l4oYt4m1dmJLG8mJJ6n5zX0Z/wT1/5LRrX/Yvzf8ApTbV418YviBo3xK8VQ6t onhK18HW62ywy2VpKJFll3uzTEhE+YhwOn8I59PRfgP+0/o/wP0JYI/h7a6rrZ8xJNaW+FvPJE7B vLP7ljtBVf4uwrOm4xqXb0R62ZU8TicslRp0nzyVrXWnzvb7mRfsQ3FnB+0HpH2oqJXtblLYt/z0 MR6e+3ePxrzT4xWuo2fxW8XxasrrqA1W5aXzOpJkYgj2III9iKveOPida6x8QrXxT4Q0CDwGbQRN b2mnyK6xyoc+YCEUEk9ivbvXss37VngLxzDb3/xC+FtrrXiWCNYzf2siqs+BwWBwQM/wksB29KFy uPJfZkVFiqGKWNjRclOKTimrxabfezWutmfNd7oOp6bp9lfXen3VtZXyl7W5mhZY51BIJRiMNggj j0r6W+Pn/Jpfwb/H/wBFtXlfxt+Pmq/GafT7ZrC30Hw7pi7bDRrI/uoeMZJwNxxwMAADoBk57Hwp +0P4T1D4T6T4G+Ivg+48SWujSl7C6srswOF+bCtgg8BivBwRjIyMkjyrminuGKji6kcPiJ0vehK7 imm7NNdbJvVX1Pn6vrXwSkmofsC+LoNFybyHUWkv0hOHKCWFnJ9vKCk/7Kmvl/xVqGmar4k1G80b TG0bS55me309pzN5CHom8gE49/1613HwN+PetfA/WLqaygi1TR75Ql9pNy2I5wM4IODtYZIzgggk EHjE05KMnfZ6HXmWHq4rDwlSj78ZRmovrbWze36XPPNJtry81Szt9PWR7+WZI7dYThzIWAQL75xi vpT9v6e3f4paBDlX1OHRIhdunqZZCoPv1PTowplp+0l8LPB+oyeIPCPwjisvFLfNFNd3Za3t3xjc iDIXH+wEJ9RXi7fEy51z4ox+M/FllF4nle7W5u7GchIrhRgCL7rBV2gKODgCq92MXFO9zmisRisX DFSpOCpxlZNq8m7aaNq2m7e57n+0t/ybV8D/APrxH/oiKvlmvprx7+174a8deBZfDUvwnsLeKGyl tNMlbUFkGnM8ZRZIk+zjBX5SACPujkV8y0qzi5Xi7muTU69HDuniKfK+aT3Tvdt9G+59gahpM/x6 /Yv0EaIhvNf8HT7J7GEbpWjjVkwq9STE0bj12MBk18fspViCMEcEGu3+Evxh8R/BnxH/AGt4fuVX zAEubOcFoLlB0VxkHjJwQQRnrya91uP2pvhT4kuP7W8RfByzuNeclpZIzE8crf3mJUbs/wC0D+NU +Wok27M5accXlc6kKdL2lOTclZpNX1aadtL7M8k8B/s+a946+GviTxstzbaTpGkIXSTUNyJd7QTI I2APK4A6YLNtzkHHsnglJNQ/YF8XQaLk3kOotJfpCcOUEsLOT7eUFJ/2VNeWfGz9prXvjFY2+jRW Vv4a8LWxBi0ewbKsR93zGwN23sAAo64yM1lfA349618D9YuprKCLVNHvlCX2k3LYjnAzgg4O1hkj OCCCQQeMEZQjKy2ta4sRh8fi8P7SolzxnGcYX6R+y5dW++1zzzSba8vNUs7fT1ke/lmSO3WE4cyF gEC++cYr6U/b+nt3+KWgQ5V9Th0SIXbp6mWQqD79T06MKZaftJfCzwfqMniDwj8I4rLxS3zRTXd2 Wt7d8Y3IgyFx/sBCfUV43F8UJ9X+KieNfF2nw+K5JLnz7uwuCEinXbtEfKsFUDAHBwFFL3Yxcb3u apYnFYqGKlRcFTjKybV5N200bVtN29z2j9rL/ki/7Pv/AGL5/wDSayrT+AqNL+xr8W1RS7CaZiFG TgQREn6YB/Kue+KH7Wfh74leBf8AhHX+FtjYta2jWml3bX6y/wBnKQo/dL5AxwijAI+6PSuM/Z// AGitQ+Btxqds2mQ69oGqKBd6bM+zLAEblbDAcEggggjHpWnND2l76NfoebHB4yWWKi6VpwnzJNrX 3+bdNpb21Ln7Gf8Aycn4P/7fP/SOeuc/aO/5Lv45/wCwrN/OvV9L/a+8LeCfEUF/4N+Emj6PHuJu pfNUXMqFT8kbiP8AdDJGeGBAxgZyPKfjL8WNM+K3xCt/E9r4Ut/D6eWgu7OO4Ewu5RI7tK7eWvLB gpyD90c9qiXKqfKnd3PQw8cXUzF4qpRcYuHLq4vVNvoz2nxT/wAo9fB//YVk/wDSu6rN/wCCerH/ AIXNrQzx/YExx/2821T6v+2Z4X1TwO3hQfCDT4dFRXNvZ/2irQwSNuPmLH9nxkM7N9Sa5P4A/tNa T8C9FkiTwDbaxrUjSB9ZF8LeZoWKHyj+5Y7QUB6/hWnNDni+bY8t4XHSwGKoewalUlJpc0dpO/fp /wAMeMeJWK+JdVIOCLuUgj/fNfT3/BRL/konhf8A7BTf+jnryu6+M3hS7+LyeL3+GmmnRfsxik8N m4UwySEEGUv5ON2Tn7nbrXSfHr9qTSvjj4d+xy+ALbStXRkEOsNfC4mijDbjGv7lSAc+tZpxUJK+ 56VSni6mMwtb2L5YJ82sdOZJd9bW1t8jpdc/5R/+H/8AsON/6OnrzH9lWz1C8/aA8G/2cshliuzL KyZ+WEI3mEnsCuR+OO9dP8P/ANqbT/CPwl0/wFqvgGy8UadBPJLO19d4WVWkZ8KnlHYwLDDZPTpz xoXX7V2h+ENIvrT4YfD2x8GX97F5UuryTefcICeiZXt1GWIz/DxVXg3GXNtY5VSxtOnicNGhf2kp tSvG1pdXrfztYr+M7201D9ua2lsmV4B4t0+MlCCPMWWFZOn+2rVnftZaTca9+1Z4h0y0Cm6vZ9Pt ogxwC72tuq5/EiuW+Cnxe0v4W+JrzW9a8JW/jK8kaOa2kvLgRyW06vv81XMbndnHPB4zW/8AG79o rT/ixqWnaxpfgq28KeI7W7S7k1iK6W4nnKKFjDHykPy7Vxkn7o4qXKMoO71budNPD4qhjKahTvCF Pk5rrfR3te/S2x23jzwP8Ff2f7618M+JtK1zxr4lFuk97cW9ybaCMsMgKAw+uOeCMnsNf9qa50i8 /Zs+FU2g2c2n6PJKzWtrcyeZJGnlnCs3c1g69+0/8PfiHDaat44+FketeLbWERC5t75oIJyOm8Dn HswfHas34jftZ6f8SPhf/wAIle/DvT7WeGIJZXtvdAR2RBGDFD5Xy/KNuA/TvWjlC0kmtdtDy6WG x8quHqVac3KErybkrapq8VfbXsn01PnaiiiuI+9CiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiv0m1rSxMrkjNcHq3hkys2F/SvT+pf3vwPzD/Xb/AKh//J//ALU+FaK+xLvwYsjE 7evtVJvBBzhY8/hR9S/vfgH+u3/UP/5P/wDanyRRX1sfBYXquKT/AIQsueI+KPqX978A/wBdv+of /wAn/wDtT5Kor60/4QQL/Dn8OKJPBoRSXXaB7UfUv734B/rt/wBQ/wD5N/8AanyXRX1DceFZbhvL tIOe74pbf4aurCS5zO3pjgUfUv734B/rt/1D/wDk/wD9qfLtFfWkfgmPbhUC/hSnwQVx+74o+pf3 vwD/AF2/6h//ACb/AO1PkqivrP8A4QkH+ClHgcnnZj8KPqf978B/67f9Q/8A5N/9qfJdFfWv/CEb f+WePwoPg31T9KPqf978Bf67f9Q//k//ANqfJVFfWUngdJVw0efwqFvh2cZjzGaPqf8Ae/AP9dv+ of8A8m/+1PlOivqn/hE3tWCTQkj+8BVlfBySjKgH6UfU/wC9+A/9dv8AqH/8m/8AtT5Nor60/wCE LPPy5/ClXwXxymP1pfU/734B/rt/1D/+Tf8A2p8lUV9cDwSP7lI3gj0TFP6n/e/AP9dv+of/AMm/ +1Pkiivq+TwaF48vcfpTV8Bsx3MuB6YpfU/734B/rr/1D/8Ak3/2p8pUV9Zr4KMYGY+PTFKvg1G6 rtNH1P8AvfgH+uv/AFD/APk3/wBqfJdFfVN94dWzbZHEZpTwFAqC3+HMt63nXikekYHFH1P+9+Av 9dv+of8A8m/+1Pl2ivraPwKI1AjjAHoBR/whoX70fP0o+p/3vwH/AK7f9Q//AJN/9qfJNFfWp8GB s7U5oXwOV+8mSPaj6n/e/AP9dv8AqH/8m/8AtT5Kor63/wCEJ28lP0pT4K/2P0o+p/3vwD/Xb/qH /wDJv/tT5Hor6zfwOpOAhJ9hTf8AhAWHIGaPqf8Ae/AP9df+of8A8m/+1Pk6ivrIeCyp5jwfpT18 GjslH1P+9+Af66/9Q/8A5N/9qfJVFfWjeDxnCpk9uKT/AIQQHJKZJo+p/wB78A/12/6h/wDyb/7U +TKK+r28BnPypgDmj/hCWi/gyO/FH1P+9+Af66/9Q/8A5N/9qfKFFfVv/CIhvlCc/SlHgf8A2Mmj 6n/e/AP9df8AqH/8m/8AtT5Ror6ubwKG/wCWeB9KZ/wgg/554H0o+p/3vwD/AF1/6h//ACb/AO1P lSivqdvAxU5VP0pn/CFHkeX9eMUfU/734B/rr/1D/wDk3/2p8t0V9SHwSD/yzx9RQvgUOfmjxnpR 9T/vfgH+uv8A1D/+Tf8A2p8t0V9PzeAxJ8oQH3xUJ+Hce3AhXHc4o+p/3vwD/XX/AKh//Jv/ALU+ ZqK+l/8AhXvTCcDoMVkaV4DNte3Uc0YV2bKkjGRR9T/vfgP/AF0/6h//ACb/AO1Pn+ivpQ+BQcrs 478VFJ4BDfwYUe1H1P8AvfgH+un/AFD/APk3/wBqfOFFfRQ8AncWMfHYYo/4V+rc+Xz9KPqf978A /wBdP+of/wAm/wDtT51or6Ff4fdQi8d6g/4QMHl4sKvtS+p/3h/66f8AUP8A+Tf/AGp4DRXvv/CB ox37MeikYqUfD/AyYwSfan9T/vfgH+un/UP/AOTf/anz7RXv0ngJJPk8r6nGaY/w5j28R4A9qPqf 94P9dP8AqH/8m/8AtTwSivc2+HbfeMefQYpF+HmPvQ8/Sl9T/vfgP/XP/qH/APJv/tTw2ivY9U8I wabGC0YLscKmOT71atvAa3Fskxt9m7oMYp/U/wC9+Af65/8AUP8A+Tf/AGp4lRXt4+HMRyxiyx9R TW+GMXQRDJ56Zo+p/wB78A/10/6h/wDyb/7U8Sor2iX4XoekX6UwfC2POTCMfSj6n/e/AP8AXP8A 6h//ACb/AO1PGqK9rh+F8W5cxAHPpRS+p/3g/wBc/wDqH/8AJv8A7U+47qxEmTjn6VjXGjhmOV/S upkUDPrUBhMh4H416p+VnGzaCn92oP8AhH85CpxXcfYEHX5qGiiX5W2g+lAHEDwzE3LKCac3hsLj C4+ldp9lQ8gfhSfZP9nigDijoC/3P0pG8MpKuGTIrufsaMMkYpDaBV4AoEcOvhaONcKgUfSnHw6q /wAPFdqIV/iXFH2YN2BoGcM3htCcbcZpP+EdZei5Fd0NPTHI/ClNuo7ZpDOIXw/E38G0/Slbw4q/ w5+nNdi9pG/8IH4VGLNozhRxQM5D/hH1/iX8KT/hGw33UAFdqtujffXBqT7CDyMYoEcMvhlV527j T18PAclfzrtPs6r/AA0n2VW6flQBxbeHY5FwYwf51Tl8FKSXhzGfTtXoH2EelL5AXtzR6jPOl0W4 tDiSDzR/exU8em203AwjejV3pjTHIwvv0qhdaPb3BOxcN/eFIDlX8PonIHvgdajXQ2nOAm1c11EX h+4t2yshkX+6TUsjtZ7fPjyv0pgc1F4ZiTonPqRUjeHUXnbj3NdQ0kAXcpDAjr2rLuvtN8+yH5U6 biP5CgDldQhgtW2RoZZegVaq2fhG81Gbz7n9zEDwiivQdM8O29nmR0zKeSTyTWp9lQgDaMelIDz+ LwnFbsXSMF/Uipv7DHRk/Tmu4azVegzULWwIxtz6ZpAcb/YKMBgD6Uf8I2H6r9a65dNX0wap32oJ Zt5cS+dJ0wORTGc+vhhOSExT/wDhHsfw5H511lmvmQq0ybHPap2t17Yb6UhHFNoMZHzJg/Sm/wDC NhuFUYrtVsVbllH5UrWccK7mIAHtQBxg8MqvOznrTh4dTsv512MSpMu5drj2pzQxrxjB9KYHGnw6 m3LKPSqzeF1k4VNo713IsfM5PTrTvs6dAtAHB/8ACL+SpwmTSroC90x+Fd6tmvoDSSWsY+8oP4c0 AcR/wj6AZ2jpUbeHxJ0TiuzbTFkbI4HuKRrMx9FyPpQM4s+GI/7nNJ/wi464x6Cu1EC91xUi26Dn H40gOGPh8r1TIpP7CRsALj1ru/s6tyF+tNbTo2524pgcP/wjibfu8evWmt4cXsnHpiu2bT9vQZpF tQvLrQBw48KqeSn6VBJ4bJbCKfriu+aNJflUYH0pRYoFxjI9cUAefr4cCcFPqaevh1JOCnA9q73+ z1f+Hij+zV9MfSgDh/8AhGk7pVW88Fw3ZB27W/vLXfNYjnA/pTfsoXtx70AebSeEp7ZSFXzEHPrT Y9FjY4ki8vHbtXpi26t1XApW02CcfNGGoHex53/wjaSEEKD6UjeGUUcJz7iu6m8PoeYZCrfpUH2O eH5Xj3j+90oEcX/wiyt/Dgdzimt4TU8bOK7dFhk+XGz2birS2IbBwNooGeef8IejcmP6cVG3hDbw o5zzXpLWqDtQtinXbk0CuzzYeE9indFx64qP/hFkY52bQPUV6Z9iRuAvFNOlxtxswBQO55yPCYb5 vLBH0qvf6HbafbvNMoCKK9Ml06OKNnbhVrh9cs5/EmorZop+zof3hHQe1AzznRfBL+Ktae/nQraI fkXHBxXbf8IeDwseFHGAO1eg2Wiw2NrHBEgUKB0qwtgvQcgUBc8ybwkOpj+nFA8KqOi4J9q9O+wI 3Vab/ZcbHOOaAueaDwnwPk/Snr4VT+5wPavSBpKqPu81G+mjONvHfNMR5/F4TRmzs4z6UV6Iunoq 8jp60UCudF5e05Y5qOe9it1y7Y9hVC41OSZikS/jTYdIaZg87E/7NMzGT6nPdNstkI/2u9TWemup 3zuWb+6KvxQrAoVFCr7U/cO3FACbMfSkLevSkZsd6aWz1/OgYrNSBj2pNh6mn5C0AKEDdeKNpXp0 prN6U3zD060AP8z1pN2enNN27/alC7ORQAnl59qXO3tRu9aUtu6UAI21uvWmNvX7p4p23P8AhS9K QxqyZ++PxqTaDyD/AI0xmFQvlOQcD9aBk5c5xio3mVfc/pVf7Y7Hbt49utTRQK3JOW9KQDPLeY5P AqeOMQjgY9+5p3K0bh1PA9aYDvM9vyqG6MLR4mw3tVK81aOA7Y/nf2qrHZz3z75iQn93/GgRJuSa TbEmVHc9BVqLzIVOxP8AgWKnt4EhAAGTVjeB35oAz/tU4zujwPXFNfUJlXIj/IGr7PupvlbuTSGU xcXM68Lj9Kq3TSWdu8jyZbHGTWwF9RxWFc3EcuoGK4B8v3pAV9P1C+1eHy0jaFSf4uuPWtqy0uOx G4/PJ3Y0+CSONMRbcegqVZTJ14pgJJ83QflQsLLyDk1Oqrj+tKV9OlIBizleGGawvFmotHarFEjM XPIU4P51uvgdeapz26XTDKg46bhQBjw3Fxa2Kxw8bR8zH1qzaa9BgJK2ZemGNT6pYyS2LRRHa2O3 SsfTfDrRtF5m4hO74P40DOmt7v7UPkBFWlYDqM1HDCkKjYABjkih5M8CmIc0i9FOTTdp6tTVjHXP NLubPtSAdup4FIrL34NDYVS27gd6YA0anqMVA8B6qay7rWzPN5FuC3OC1aluGWECQ/N6UAM3Oh5F PWcH6+9SH5uKa0KKM9DQA9SF5amSHzuB92oTG7Hg8e1KGMfGKBi/Z1UccULC/Y8U5JAx5P51PuFA EIcr94f0pPNDe31qVmDfSo2iHbimAduOlN27vpTPLbsad5jDgjI96QB5I7cfTimNGV6dal84d+DS bs9OaAINzLwf1pRN2/8Ar1K2OlM8kHoKAImtYZ/4cH1WoZLB4eYn/DpVwx7BUW5g3PT3pgUvMuIW /epu/Q0438R4OVPuKvtMNuCP61C1tDIASoz/ALNADY5FkX5G3evepGmSGMs5wqjJNUrizazUzQFj jnGeazZrqfWSYBGUVTz2zQA7U9Ta7UrB9FH9at6DpqWcO7qTzuPUnuaz1t4redYcnd0yR/Wt+3wq gKwKigRP5Y7jJpph9OvvThJ6inbhigZEysvHUUqY7jFTLzSlR3FAEf05pVUdxR5e7pStuRf5UCI3 VS20fjRSw8tkiigC3FaJF90YNPPy0ed2NIW3e9MgaZN3B/OmH86d5Z7UY20AM5PXn3qRVFIWB9jU bMV9qBkhb04pjMO/X2pu8nil2d85pAJgn/61PXC9eaM9h+VG4fjTAdnjrxTfM20xiaQe/PvQA7O7 2o2laT7oz1o8zbQA7zMdaN+7oc1E7r34PpULM8hwBx7UDJpJgM45NMWNpGyTgU6OPHLfManz+NIB qxqvbH86Rk9Kf2J6VGz44XigCK4vks0zM3Hp3rFm1SbWJDDaAovrWlcab9sfMxwtWIbKO3TbCoUf rQMq6foq2a7pD5kncmtPIwONoqLzGj4PPtSGZX46GgCZmGPaoTljj9KQK3X9aZcXkdpGS559O9IC bcIVLMdoHr0qCHVo55jGgzjjNZJkuNYkwvyxfpWpa2MVinyj5u7HvQBfzn/Gqd3Yw3XUYb+9TvMb OBx9Klj9+TRuBkNpc1v80bk/7NOt9SljbZOnStnP41FJCk2dy596BXGQ30cn3XGfSpTcbOvNZF5p RU7oG2mqyXF3aNiYFlFIZvq3m854p+0dBWbDqkcwA+6auxydCDupgSeWetIyqOvH0pfPC9TzTf8A WHNAEL7mPynI9qckpXg8mpNu3p19aTbu6jI96QxysG74+tSdKg29hx9aguL4WcZLHGBnHamBZnuE hjLOQoHeuZutWuNWuPs9qD5eeTUE13Prlx5YDLDnk+tdFpumxafDhACx6nvQITS9PTT48kbpT1ar 2Q1NzmlYqo460gJG/drnvUJYu2TTPmY5p4kA4xQA7dt6U/AbqM0xVDc07laoBWjX6VCyMvQ8U/f+ FG6kBD5xXqPypyzhu/58UrKH6imm3HY0DJtwp24YqqUaLjtSCbHB60xErxhunH0qJo2Xoc09ZPTm nA5oGQrKehGTUyyL9KdsHeo5IgehxQIdu3fSkbC0za0fNNEu45YUAHlA8459qTyznPWpVYN0NOag ZXZj908jvmnQpHDyF2mpto7io5F7DikIhksYbiTcRz2xUTaayf6t6n2sv/1qcsp+tO4yqsVxH13V HIbppPlzj6YrSEw7/rUi4NAGW0d0FL5yQM/Mafp+oNMdj5H1rRZcqRWPCPst0SwwM9qYjZU00tua oiwZcoQfpSx56n9aAJwoXGRRTPM5xRQIefm6flTlGP8ACnMu361GX9aCSbzAaY3NRM2PekVifegB Wz25oUGpFUfWlb8qAGYHbimk7aGOKbuz16UABk3cUbT9aXZ6UhO2gYq0bh26+9N8wGo3kC9txpAP Zscnj3qFrnsP++qZl5m9amjt1XnqfegY2OFm5J4/WrKKEGBwKbux7Gjd68UAP4PtTWO36+1MZj25 FKoPfgUCF3M3bNPUBenJo+U9OKa3y9f0pgPxmms23296jabHvSqS3vSGIzbuo4pPs4PT8qkVPzp3 3fr60ARfPGpx17Cs3+zzdXBaYlV/nWqWz71FJhvumgByxJboFQAD2oDFveoVV1OTkCplkHQjH0pD JEUY4oYfhSdenNIZNnU59qBCs23r0qMzFuByKTd5jehp2wL2y1IY9cAZPX0pHQS8MuR6U3BJ45p6 tt4H60wKsmlRsCU+VqoyR3Fm3y/MK1mnHQU0Lnk9KAMiPVism2VeM1oQ30TD5X2j3ouLCG46qB7i q/8AZO37rZHoaQGikgbnt7VNuDe9c3NfNpcy+aQoJwc9KsSap9ohzD909xTAvX18kKkKRn19KwR5 upSfxCLPT+9TWm86YJI3B6L3Nb9nbrboCfvkdPSgBLWxS1jAC7W/2am2N25+lS7d3tSSHb060gGG 48vg8n3oSQSd8H3qPbv6jI9aNvZT+FAyx06dKVQG6iq6ll68CpllHcflTEPx6U3zD07Um7d0PFGf WgBd478UmPSmEbvanAFaAHrxTtwFNVsdaCwPQ0wAvTWRTScik3HPpQBG0JzxTl3qeealXmlZhjFA EfnDp0qRW70zyQ3NRyKy/d4oAmJ3Uzyw1RCQr1GalWQHnNACNFtHFIpZTzUgYNT+NtAEfnDHTBoX HXrSNGGOe9NKFenNADyN1NZRSbyvXmjzAx9KYCeX6dKcMr7U5falNIBvmH60k0Ucy5PDetP8sGo5 FOcA8UwKTWksbZQn8KljupIxhxuHvViPK89KVisn3lB96QCxTJJ0O0+9FRi3HVT+BooA0/s8zdU/ UVG1nMf4OPqK0uaWlcVjLFjN/d/UU77HL2TH4itKkphYzfssw/g/UUfZ5jwU/UVo0UBYz/scv9zP 4ik+wy9l5+orR3Uu6gLGWbOcdE/UU02c56pgfUVqmmctQFjIksbkjAjwP94U2PTJ+6YHpkVtgYpa BmWtjLtxsx7ZFBsp/wC5+orTPy9aiabstArGe9tMv/LPcf8AeH+NN+xXD/wfqK00QtyeKk6e1AzL WxlX+Dn6infZJj1T9RWn9aSgRm/ZJh/B+opv2S47J+orUooAyxp8rfwY/EU77DMOiY/EVp/rRuoA zRazj+Dj6ij7JN/c4+orSpKVwsZjWczfwY9simjT5upT9RWstLQMy/scw6pn8RSf2fL2X9RWr+lI TQBjtZ3CfdTn6ihbS4k+/H+O4Vr0UAZgsZlXCpn8RSLYz5+5+orUpd3rSAzBaTf3MfiKZJZztwI+ PqK1d2aKAMYadP12Z9sinfY7j/nnx6bhWvRQBlrZz90/UU77HN1KfqK0qKYHM6z4em1NVBj3Y6cj in6f4fksoVXy8kD1FdHRQBy9x4cmebzRHlu3IoXT9SiIATcvuw/xrqKDSAwFW+UY+zg/8DH+NNWG +ZubcKP98f41v7AetGwdqAMCSC+HPkjHsy/41Yt7O4kXLxYP1H+Nac3C4p8P3aAM42U/9zj0yKY2 nzN/Bj8RWxmkpgYpsLkH/V/+PCnLa3P8Uef+BCtijFIZlLZzf3OfqKf9jmX+D9RWlik3U7iMw2cx /wCWf6im/YZ/7mfxFau6loAyRZ3A/g/UU8WU39zH4itOimBmmzmXon6im/Y5/wC5+orUpc0AZn2W fH3P1FJ9jm/ufqK06KAMv+z5W/g/UUxtNmbon6itegUgMdbC4X+HP4il+y3B6x4/4EK2CaTFAGWL Of8AufqKX7HN3T9RWlto5+tMDNaylb+D9RTP7Nm6hP1Fau6nA0AZP2G4Xon/AI8KQWdx3jz+IrY3 UYFAGX9lm2/c5+opBYzE/c/UVpEUoyKAM5rKXGAn6imf2fN/c/UVq5pc0gMn7DPuHyfqKK16KQDV bdRn0qLlTT1bdTAdmlBpPrSUwHU2jNJupALTc0YJpcUAAp4xTaQnFADjTHcLTGm7CmrGZOTQAhZp DUscQXk9acFC9BS0wCiik60gFopMfhS0AFFFFABRSZ9aMetAC0uaSigBf0pKKKADNFFFABRRRTAK TrS0UgG9KN1OpMUgFopvSjdQAuaWkooAPpS0goJ9KAF3YoptFADqKRaWmAyVdy1GjeXx2qemtGGp ACuGpd1QtGV6dKVZOxoAmplxPHawSTTOsUUal3djgKoGST+FKrbq8d8cftPeE/Dfii+8K2mi+IvH GrWYCalZ+GNKa+FmrA8THIXp1AyexHWqV2K9j0Lwd8RPC/xChuZvDOv6fr0VsypM+n3CzCNiCQGK ngnBroa+W/2L9T0zWPGvxrvdGtWsdLn16J7e2a2NsYl2P8piIBQj0xxXda9+1p4Q0vxBqGmadpPi bxXFpkph1LU/DukPeWdgw5YSygjp32hsYNU4u9kJS0uz1PxR4s0XwVpL6pr+qWmj6bGyo11eyiKN WY4ALHjk1NoOv6d4o0m21XSL6DUtNuV3wXVrIHjkXJGVYcEZB/KuD8W+JPCnxa+CPifVNJutP8Sa O2mXTpKqrKiyrAzDII+V1yODgg+leE/AP9p7wx8M/wBnjwZbXejeJtXtrG1aPUdS0jSJJrOwJlc/ vpiVUcEZCliKFFtabhzan2HupaydJ8UaTrnhq18Q2V/DLotzbC8jvd22Mwld28k9Bjrnp3rxeT9t LwPHJ9sGkeK5PCol8k+Lk0ST+yQ27b/rs7sZ/wBmpUW9h3R79RXHePPilpHw/wDD9nq91BqOrQ3s ixWkOi2Ml7LcMyF1CrGDwVUnJIHvXM/DP9pLw38SvFU3hg6Xr/hTxNHbm6Gj+JtONncSQg4LqMsC Pxz144OCztcLo7K6+JnhOx8XReFrjxFpsPiSbb5elPcqLl8ruGEzk5HP0rpa+Zf2hNOtLf8Aak/Z 8u4rWGK7ub3UxPOkYDyhYYAoZsZbAJxnpk1R+PX7SOpeA/2h/A3hy0t/EA0S3a4bVrSy0syf2kTb q8XkNjdKEL/MFIAIOc4quW9rC5rbnv8A4u+J3hTwPe2dlr/iLTdGu73/AI9ob25WJpuQPlBPPJA4 9a6aM5Ga+Tv2zdQ0zxB8D/DHiuTT2snfWNPmSXULYRXVvExZmRgfmT3X2r0e1/a18Gt4u0rQ7vTf Emj2urTLb6bruqaRJa6deSMcKscj4Y5OOSoHPWjldroObWzPbaKTNeefFb47eGPhDLp1nqgv9T1v Ut32HRNGtWur262jkpGMce7EDr6GpSb0RRv2vxM8J33i6Xwtb+ItNm8SQ7vM0pLlTcphdxzHnIwO a6WvjrQPHWj+P/21vBOoab4c1Xwxef2Fei+s9b0s2F2ZCHIZ1P38jHzAn0zXvHxM/aE8NfDLW7bQ ZbTWPEvia4h+0JoPhuxa9vPKzjeyAgKPqRntVuL0RKkem4orhfhr8avC3xU+0QaRdTW+r2gP23Rd ShNtf2eCARLC3K8kc8g54NdV4g8Qad4U0O+1jV7uOw0yxiae4uZjhY0UZJP+A5qLdCi/zS7u1fPU /wC254Ms9Nl1e68M+NrTw3tDQeIJ9BdbC5zjaI5N38RIA3ACvU/FHxa8L+C/h5F421zUf7N0KaCK eOSZCZH8xQyIqDJLkHoM9+wJp8rQro7MUNXiGg/tbeE9R1zT9M1jQ/FXgsalKINOvfFGkNZ2t45+ 6I5NxHPGN23qK6rUPjnoOl/FzT/hzPZasNevozLBMtmfsroIy7MJM9ABg8cHAo5X1C6PRKK888Rf HLQfDPxU0j4f3Nnq02u6pEs8DW1mZIBGzMu5nzwFKnJxxketeh0rDCinUUgGsvpTfu1JmmMN1ACC TPWnZqFvlNCt+NAEhNAFICKfSABRSFsVE81MCRnC1A0hfgUKDJUyxhaAGRw9zzUw4opM0ALRTc0C gBSKAKWigAoopuaAFLUnWilH6UAGKWiikAUhNIWopgHNOpPpSUgHUUU0mgBc0nNFLQAUtJ16UUwF opN3NGaQBzRgGikoAQ0oJooPtQAbvSkpNppc9qAFzS0n6UtAC4pKM0fSgAzRupKSgB9NaMGjNOoA gKlTxXzX+xLcW1jpvxI0i9xH4ut/Fd7LqqS8SvuK7JMddhw2DgDO71yfpo15d8QP2Z/hz8TPEA1z W/D4bWCuyS8s7ma0knXAG2QxOu/gAZOTgYzVxas0yXfdHlXwHa41Txd+0t/Y0yyXs2ryLaSxvkeb 5UoUgj/axXQfsM6poUf7NuiQWLxWtzpz3KatFIQskNwJXLGUZ+UldpGf4cdMYHbeCf2bvhx8NfF0 niXwz4Yi0jWXiaEzQXM+wI2NwEZcoM7R0WqPi79ln4YeOPEVxreq+GVOoXRzdtaXc9sl0c5zKkbq rnPUkZPfNW5J6CSZp6hrXhXxD8D/ABXqPg6XT59EuNNvys2mIqQvIInVz8oAJyME+1eefBG3iuP2 FbOGWNJIpPDN+rxuoKsCJsgjvmvVvFXwX8E+NvA1p4N1XQYJPDNq0bwabbSSW0cZQHbjymUjGT35 zzXPWP7K/wALtN8D6l4Pt/DHl+HNRuY7y6sv7Quj5kqY2tvMu8YwOAwHtSurWHZ3PItBtdRv/wDg nCYdMEj3beHJ/ljBLNGJXMgA/wCuYYVn/Dn4b+PPiV+zrpWnaX8WtAHgu90RbCS2/wCEejLW8flb JInk83iRDkFuu4Zr6Q+GXwb8HfB3Sb3TfCGjDSbK9l864hNzNOHfaFzmV2I4GMDiuLuv2OfhFeax Pft4TWMTyiaWyhvLiK0dx0JgVwnpxjHtVcy1J5Wcf4r8YeJvgx4d+Dvwn8Kahpl54g1uEafD4i1K M/ZY4LdEyyxhvmZlZQoyRwB3BHH3Om+LdF/bU+EFp4v8X6f4q1H7HqbIbHT1s3gjNpNhXUO2QSCQ TjoetfSfjn4K+CviN4SsvDOuaBbT6NY7BZW8GYPsmwbV8poypQAADAIGBjGK4s/sa/B/dYyS+EFl ubJ/Njun1C68533Bt0jiXMhyBjdnHQYHFClEHFnL/tFNt/aW/Z1Ppfar/wCireqnx0mDftZ/ARmO 1c6ooJ6ZMKjH6iu/+I37MHwx+KXiabxB4n8M/wBp6xMiRvcfb7qLKqMKNscqrwPat74gfBLwh8Vt L06w8TaT9ti06TzbOSOeSGa3bAGUkRgw4AyM4OAeoFSpLQdnqeYftzxgfB3RgRkHxJp+f++mpf27 Ykk+EugyMis8XibT2jYjJQ5cZB7HBI/E11uvfsk/CnxRp+jWOreF2vbfR4GtrIPqV2rRxtI0jAss oLEu7HLZPPpVjxP+yv8AC7xlo+gaXrHhj7ZY6DbGz06L+0LpPIiJBK5WUFug5Yk+9NSirA09T0rV fEGlaG9mmp6lZ6c15MLe2W6nSIzynpGm4jcx/ujmvni2mttJ/b41B9cIjm1HwnHFoUs3CHbKDLGh P8eRIcDJxu9cH1q6+BfgW+0PwtpFx4fhn07wvKk2kQyzSt9lZMbTuLZccDhyQcDOcVY+Jnwd8H/F /T4LTxZosOprbtvt59zRTwNkElJUIZckDIBwcDOaSaQ3dnkvjS5il/bq+HkSSo0kfhq93orAsufM IyO2ar/Aeez039qj442OsFI/FN5cWlxZmYgPNYCM7fLzyQoMe7A/u9ccdfa/sdfCG1vdMvR4S36h p8onhvH1C6MpkDhwzt5v7wggffzgDHTiur+JnwL8EfFyS0n8TaKt3fWfFvfQTSW9zEM52iSNlbby eCccmnzLYVnuauk+I/B+oeMdettPutLl8S6bFGuqtCE+0QowyiyvjOML0J4xXif7bGqW3iz9me51 PRbuPW/D41G0mvptLmWZJrVZgH2shwcOF78FeoxXsXgn4Q+D/h34avNA8P6Db2Gl3oYXceWke53A qxldyWckEj5ietZWqeGfDPwV+D+oaZoXgu51jw9axtu8O6bCbuW5SR/3oCyMTJwzEgk5Ax6CpVlK 6G7tanG/tWa5o93+yX4qvNOu7U6Vd6dCLKSN1EcitJHsVO3I6AV518aJLfT7L9mLVde2f8IXZ3Vv /aTzDMUc7W0P2Z5OwUESEk8Yz1rzL4jeFfhT4q8K3vh/4TfD7xBd+N9YlS3gtr6yvVt9KDyK0spW Y+XEdqsNy527uwzX3Inw90nUPh5Y+ENesbfWtMisYbOaC6jDpL5aKoOD3yoIPUHnitNI2J+I8j/b o1DRD+zlrdpqBjuL3UJLeLSbdCGlmufOQr5QzkkLuJx/DnrnBzf2hNM1DwX4P+FvxOuVMmteB7u1 OrSgFma0nRILvpyTkg+2WOOtd14L/ZR+F3gDxBbazpPhkHUbT/j0kvrue7Frg5HlLK7BSD0IGR61 6T4m8N6b4y8Pajoes2q3ulahA9tc27My+ZGwwRlSCDjuCCOoNRzJWHZs8M+C4j+Jn7RHxM+IqtHc 6XpYi8J6POuWBWICS5KnoQZWGCOzH8foauc+H/w78PfC3wxb+HvC+nLpekQO8iW4lklIZ2LMSzsz EknuT2HQV0dTLV6FLQKKKKkYZppag80AUAG3dSeXT6KAIT8vWneZ8tMkUk0qqdtAhjOTwOtCx5OT SlcdKkVhigY5Rtpc03cKQsBQA/NNpvmU5WzQAUtLikNMBd1G6m0ZpAKTRikp2aAEozTqaaAFzSZp KKAClpKKAClzSUUwFpKKKkApaSimAtLmm0UALRSUUgFoFFJTAWm0A0tIAooooAKXNJRQAu6kpvSj JoAdRRmimAtFJRSAKKSgUwFpCopaKAI9pWjzCvWpKayelAB5gpd1RshpquVPNAE+cVFJKOabJLv6 VFzI3tQA5F3Hcfwqyq7RUcY/KpN1AC0YoopAJzQDS0YpgLSUnNApgPWkpC1GaQC0bqKSmA7NFNop AOFLTd1LmgBaKbRQB//Z