BLM NLCS Wilderness Area Polygons U.S. Department of Interior, Bureau of Land Management (BLM) 20130905 Bureau of Land Management https://navigator.blm.gov/home vector digital data This is an aggregate national dataset. Source data were received from all or some of the BLM state offices of Alaska, Arizona, California, Colorado, Eastern States, Idaho, Montana, Nevada, New Mexico, Oregon/Washington, Utah, and Wyoming. This polygon feature class represents the spatial extent and boundaries of BLM National Landscape Conservation System (NLCS) Wilderness Areas. This polygon feature class represents the spatial extent and boundaries of BLM National Landscape Conservation System (NLCS) Wilderness Areas. A Wilderness is a special place where the earth and its community of life are essentially undisturbed; they retain a primeval character, without permanent improvements and generally appear to have been affected primarily by the forces of nature. In 1964, Congress established the National Wilderness Preservation System and designated the first Wilderness Areas in passing the Wilderness Act. The uniquely American idea of wilderness has become an increasingly significant tool to ensure long-term protection of natural landscapes. Wilderness protects the habitat of numerous wildlife species and serves as a biodiversity bank for many species of plants and animals. Wilderness is also a source of clean water. A published revision of the Department Manual’s Part 305: Departmental Science Effects, Chapter 3: Integrity of Scientific and Scholarly Activities (305 DM 3), effective December 16, 2014, is available online at http://elips.doi.gov/ELIPS/DocView.aspx?id=4056. Scholarly information considered in Departmental decision making must be robust, of the highest quality, and the result of as rigorous scientific and scholarly processes as can be achieved. Most importantly, it must be trustworthy. This policy helps us to achieve that standard (http://www.doi.gov/scientificintegrity/index.cfm). Each state office has a Data Steward or Contact Person for this data. Please contact the specific state office for additional information on their state dataset. 20130905 publication date In work As needed -124.420457 -104.393866 46.427750 32.558086 ISO 19115 Topic Category boundaries BLM-THEME Fire Forest Hydrology Management Wilderness Wildlife BLM-STATE Alaska Arizona California Colorado Idaho Montana Nevada New Mexico Utah Wyoming None Bureau of Land Management Wilderness Recreation Public Lands Management BLM Jurisdiction Withdrawal Geospatial None Western States Eastern States United States These are data made available to the public and are considered public domain. These data contain no sensitive information which would be prevented from disclosure by Freedom of Information Act (FOIA), the Privacy Act or other laws. These data are provided by BLM "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office for which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This information may be updated without notification. Bureau of Land Management, LLNM930 State Data Steward Outdoor Recreation Planner physical address
301 Dinosaur Trail
Santa Fe NM 87508 United States 505-954-2000 blm_nm_comments@blm.gov BLM Admin State Unclassified Esri ArcGIS 10.1.1.3143 This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The accuracy of attributes in this dataset reflects that of the source datasets. Attribute accuracy was tested by validating attribute coded values against accepted domain values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The logical consistency of this dataset reflects that of the source datasets. Each source dataset is run through a series of tests to verify that the data complies with the format specified in the Data Standard. ERRORS AND INCONSISTENCIES MAY STILL BE PRESENT IN THE DATA. These tests were conducted using ESRI ArcMap 10.1. The tests consisted of checking coded values for attributes against a domain of accepted values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. For the geometry, the topology was validated; however overlaps and gaps can still be found. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The completeness of this dataset reflects that of the source datasets. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The positional accuracy across this dataset varies according to the source. U.S. Department of Interior, Bureau of Land Management (BLM) 20141205 H-1283-2 Data Administration and Management Handbook Release 1-1762 http://web.blm.gov/internal/wo-500/directives/dir-hdbk/h1283-2.pdf online 20141205 publication date This official BLM Data Management handbook contains information about how data is administered, managed, and tracked. This handbook discusses how the BLM operates with regard to data development and design, quality, metadata, and business rules. The information this resource contains also pertains to geospatial data. Using the implementation guidelines, GIS staff at BLM field and state offices cross-walk and clean up their data to comply with the standardized national dataset. Then, the BLM field and/or state offices submit the data to the National Operations Center (NOC), where it is compiled to produce seamless national datasets. This process of data replication to the National Operations Center is intended to occur on a monthly basis. As a result of the "John D. Dingell Jr. Conservation, Management, and Recreation Act", several new Wilderness areas were officially designated by congress. The boundaries for these Wilderness areas in the form of GIS Shapefiles had been approved by Congress for several years prior but as of yet had not been designated. Once the legislation passed, these Wilderness boundaries were compiled and included into the State wide corporate SDE database, in the NLCS_WLD feature dataset by the New Mexico State Office GIS group. The new wilderness boundaries included in the legislation are as follows: Rio San Antonio Wilderness, Cerro del Yuta Wilderness, Cinder Cone Wilderness, Whitehorn Wilderness, Aden Lave Flow Wilderness, Organ Mountains Wilderness, Rebledo Mountains Wilderness, Broad Canyon Wilderness, Sierra de las Uvas Wilderness, East Potrillo Mountains Wilderness, Mount Riley Wilderness, Potrillo Mountains Wilderness, Ah-Shi-Sle-Pah Wilderness and updates to the existing Bisti/De-Na-Zin Wilderness. As part of the process of incorporating these new wilderness boundaries into the State wide dataset, all new wilderness boundaries were snapped to the latest version of the Public Land Survey System supplied by the Cadastral National Spatial Data Infrastructure (PLSS CadNSDI) Team which resulted in slightly different geometries and acreage calculations in comparison to the orignal congressional boundaries which were snapped to the older version of (PLSS GCDB) Unknown Bureau of Land Management - New Mexico State Office State GIS Manager Geosciences Team Lead physical address
301 Dinosaur Trail
Santa Fe NM 87508 United States 505-954-2000 blm_nm_comments@blm.gov Vector Simple TRUE 18 TRUE FALSE 1 1 5.000000 FALSE 1110 1112 1113 1124 1125 North American Datum of 1983 Geodetic Reference System 80 6378137.0 298.257222101 0.000100 Explicit elevation coordinate included with horizontal coordinates nlcs_wld_poly BLM NLCS Wilderness Area Polygons National Landscape Conservation System (NLCS) Implementation Guidelines Feature Class 18 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. Esri Shape Geometry 0 0 0 Coordinates defining the features. NLCS_ID The designed primary key that will uniquely identify a single occurrence of the entity. The primary key for NLCS will be 10 digits. The first four will be “NLCS” and the last six digits will be a sequential number. National Landscape Conservation System (NLCS) Implementation Guidelines NLCS_ID String 10 0 0 CASEFILE_NO Casefile Number String 17 0 0 The number that refers to the serialized case file number of the group of official documents that record the facts, or actions taken, on a specific application, such as an oil and gas lease, exchange, airport lease, easement acquisition, etc. NLCS_NAME The official name of the NLCS area. The name of a nationally significant designated area with scientific, cultural, educational, ecological and other values. National Landscape Conservation System (NLCS) Implementation Guidelines NLCS_NAME String 100 0 0 ADMIN_ST An alphabetic abbreviation that represents each of the 50 states of the United States, the District of Columbia, the outlying areas of the United States, and associated areas. FIPS PUB 5-2 National Landscape Conservation System (NLCS) Implementation Guidelines ADMIN_ST String 2 0 0 DOM_ADMIN_ST National Landscape Conservation System (NLCS) Implementation Guidelines DESIG_DATE The date on which a national landscape conservation unit was designated as such through Congress or other authorized body. National Landscape Conservation System (NLCS) Implementation Guidelines DESIG_DATE Date 8 0 0 GlobalID Software generated value. A field of type UUID (Universal Unique Identifier) in which values are automatically assigned by the geodatabase when a row is created. This field is not editable and is automatically populated when it is added for existing data. This attribute is included for purposes of replication only. It is not used as a unique identifier for relationships between feature classes/tables. Esri GlobalID String 38 0 0 Shape.area Shape.area Double 0 0 0 Area in square meters Shape.len Shape.len Double 0 0 0 Length in meters See the National Landscape Conservation System (NLCS) Implementation Guidelines. Bureau of Land Management - New Mexico State Office State GIS Manager Geosciences Team Lead physical address
301 Dinosaur Trail
Santa Fe NM 87508 United States 505-954-2000 blm_nm_comments@blm.gov National Landscape Conservation System (NLCS) Wilderness Area Polygons The BLM assumes no responsibility for errors or omissions. No warranty is made by the BLM as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Although these data have been processed successfully on computers of BLM, no warranty, expressed or implied, is made by BLM regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the BLM have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by BLM. 20130905 20130905 20150227 NOC Data Management Lead BLM National Operations Center, OC530 NOC Data Management Lead physical address
Bldg 50, Denver Federal Center
Denver CO 80225 United States (303)236-6806 (303)236-3508 jcvarner@blm.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time nlcs_wld_poly -203017.964400 145369.504700 -293385.076600 276547.919800 1 002 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_Albers <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/10.7'><WKT>PROJCS[&quot;NAD_1983_Albers&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;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-106.0],PARAMETER[&quot;Standard_Parallel_1&quot;,33.0],PARAMETER[&quot;Standard_Parallel_2&quot;,36.0],PARAMETER[&quot;Latitude_Of_Origin&quot;,34.5],UNIT[&quot;Meter&quot;,1.0]]</WKT><XOrigin>-17625100</XOrigin><YOrigin>-8334900</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.10000000000000001</XYTolerance><ZTolerance>0.10000000000000001</ZTolerance><MTolerance>0.10000000000000001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem> 20211213 15444300 20211215 11184900 1.0 625000 5000 20260722 14425800 TRUE 20211215 ArcGIS Metadata 1.0 https://navigator.blm.gov/home Enterprise Geodatabase Feature Class external ef510a0770074b99b74325d760ee35a7de9c56bd State GIS Manager Bureau of Land Management - New Mexico State Office Geosciences Team Lead 505-954-2000 301 Dinosaur Trail Santa Fe NM 87508 US blm_nm_comments@blm.gov True Name: State GIS Manager Organization: Bureau of Land Management - New Mexico State Office Position: Geosciences Team Lead Role: Unknown BLM-STATE Alaska Arizona California Colorado Eastern States Idaho Montana Nevada New Mexico Utah Wyoming BLM-THEME Fire Forest Geospatial Hydrology Management Recreation Wilderness Wildlife Withdrawal NONE United States Western States NONE BLM Bureau of Land Management Jurisdiction Public Lands U.S. Department of the Interior, Bureau of Land Management (BLM) BLM_NM_Wilderness 2013-09-05 Bureau of Land Management vector digital data This is an aggregate national dataset. Source data were received from all or some of the BLM state offices of Alaska, Arizona, California, Colorado, Eastern States, Idaho, Montana, Nevada, New Mexico, Oregon/Washington, Utah, and Wyoming. This polygon feature class represents the spatial extent and boundaries of BLM National Landscape Conservation System (NLCS) Wilderness Areas. This polygon feature class represents the spatial extent and boundaries of BLM National Landscape Conservation System (NLCS) Wilderness Areas. A Wilderness is a special place where the earth and its community of life are essentially undisturbed; they retain a primeval character, without permanent improvements and generally appear to have been affected primarily by the forces of nature. In 1964, Congress established the National Wilderness Preservation System and designated the first Wilderness Areas in passing the Wilderness Act. The uniquely American idea of wilderness has become an increasingly significant tool to ensure long-term protection of natural landscapes. Wilderness protects the habitat of numerous wildlife species and serves as a biodiversity bank for many species of plants and animals. Wilderness is also a source of clean water. BLM Admin State State Data Steward Bureau of Land Management, LLNM930 Outdoor Recreation Planner 505-954-2000 301 Dinosaur Trail Santa Fe NM 87508 US blm_nm_comments@blm.gov BLM boundaries Bureau of Land Management Fire Forest Geospatial Hydrology Idaho Jurisdiction location Management New Mexico Public Lands Recreation United States Western States Wilderness Wildlife Withdrawal These data are provided by BLM "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office for which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This information may be updated without notification. The BLM assumes no responsibility for errors or omissions. No warranty is made by the BLM as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Although these data have been processed successfully on computers of BLM, no warranty, expressed or implied, is made by BLM regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the BLM have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by BLM. These are data made available to the public and are considered public domain. These data contain no sensitive information which would be prevented from disclosure by Freedom of Information Act (FOIA), the Privacy Act or other laws. Esri ArcGIS 10.1.1.3143 true -124.420457 -104.393866 46.427750 32.558086 Unknown 20211215 publication date 2013-09-05 A published revision of the Department Manual’s Part 305: Departmental Science Effects, Chapter 3: Integrity of Scientific and Scholarly Activities (305 DM 3), effective December 16, 2014, is available online at http://elips.doi.gov/ELIPS/DocView.aspx?id=4056. Scholarly information considered in Departmental decision making must be robust, of the highest quality, and the result of as rigorous scientific and scholarly processes as can be achieved. Most importantly, it must be trustworthy. This policy helps us to achieve that standard (http://www.doi.gov/scientificintegrity/index.cfm). Each state office has a Data Steward or Contact Person for this data. Please contact the specific state office for additional information on their state dataset. 1 -108.278776 -104.368165 36.992385 31.835262 Unknown 20211215 Last metadata review date: 20211215 Good Good This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The logical consistency of this dataset reflects that of the source datasets. Each source dataset is run through a series of tests to verify that the data complies with the format specified in the Data Standard. ERRORS AND INCONSISTENCIES MAY STILL BE PRESENT IN THE DATA. These tests were conducted using ESRI ArcMap 10.1. The tests consisted of checking coded values for attributes against a domain of accepted values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. For the geometry, the topology was validated; however overlaps and gaps can still be found. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The completeness of this dataset reflects that of the source datasets. Using the implementation guidelines, GIS staff at BLM field and state offices cross-walk and clean up their data to comply with the standardized national dataset. Then, the BLM field and/or state offices submit the data to the National Operations Center (NOC), where it is compiled to produce seamless national datasets. This process of data replication to the National Operations Center is intended to occur on a monthly basis. As a result of the "John D. Dingell Jr. Conservation, Management, and Recreation Act", several new Wilderness areas were officially designated by congress. The boundaries for these Wilderness areas in the form of GIS Shapefiles had been approved by Congress for several years prior but as of yet had not been designated. Once the legislation passed, these Wilderness boundaries were compiled and included into the State wide corporate SDE database, in the NLCS_WLD feature dataset by the New Mexico State Office GIS group. The new wilderness boundaries included in the legislation are as follows: Rio San Antonio Wilderness, Cerro del Yuta Wilderness, Cinder Cone Wilderness, Whitehorn Wilderness, Aden Lave Flow Wilderness, Organ Mountains Wilderness, Rebledo Mountains Wilderness, Broad Canyon Wilderness, Sierra de las Uvas Wilderness, East Potrillo Mountains Wilderness, Mount Riley Wilderness, Potrillo Mountains Wilderness, Ah-Shi-Sle-Pah Wilderness and updates to the existing Bisti/De-Na-Zin Wilderness. As part of the process of incorporating these new wilderness boundaries into the State wide dataset, all new wilderness boundaries were snapped to the latest version of the Public Land Survey System supplied by the Cadastral National Spatial Data Infrastructure (PLSS CadNSDI) Team which resulted in slightly different geometries and acreage calculations in comparison to the orignal congressional boundaries which were snapped to the older version of (PLSS GCDB) Unknown State GIS Manager Bureau of Land Management - New Mexico State Office Geosciences Team Lead 505-954-2000 301 Dinosaur Trail Santa Fe NM 87508 US blm_nm_comments@blm.gov This official BLM Data Management handbook contains information about how data is administered, managed, and tracked. This handbook discusses how the BLM operates with regard to data development and design, quality, metadata, and business rules. The information this resource contains also pertains to geospatial data. H-1283-2 Data Administration and Management Handbook 2014-12-05 Release 1-1762 U.S. Department of Interior, Bureau of Land Management (BLM) http://web.blm.gov/internal/wo-500/directives/dir-hdbk/h1283-2.pdf publication date 2014-12-05 18 dataset iVBORw0KGgoAAAANSUhEUgAAAMgAAACFCAYAAAAenrcsAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAIABJREFUeJzEvdmTJEd6J/aLO++6q0+gBwAJcDjkcJZcGR9290Fm+oNlepBs TZJJDyvZLme1FDlDzgAYDNCNvruOvDPjln2fu0d4eHrkUV0YOaxRmZERHn599+WnaVxCtrIs4TgO APqnt+qWP0FzrN9pbPyNx2e2wvJM/Zx4toDrunAcr+qDrhdFgbLMxWNliSzL+L40TeG4LsIwhOd5 Vc9l6YAeV33Q87Q+9D1JEqxWK35GPOfzdTn0enT8rBgzvU+MoeQRu/R/l1/A99Fv9E+MwW2Zf8tK aveq9bO1shRzoDUTa+Ty9TzPjffRPSWvk3yB+J2+7zEuMQa39TfqS6yXfazq93rdN3+3Pavv96HN t3UkDhcdLHUdH932XEMrMIpxiA088K3aP/FdOzLij+PwocxpwcuSDwgdRjrcdHPzkNk3QY3P9wP0 ei7/nmW5BBA6EApI6/5UP/QuBw6yPKvGQ//xqOUhUPceug81wtt2MO4B+Tn7DuweDtKWdhcAOAhA 6lYcNKFtUF9jc/2g7t8Iu9XYha9Y7qkPnbzCc6AhEXUgsHBcB/I2PtF8B/VdEE5zgTLngwnPgeP5 8GhO2hroGEuNh6gMNYV16fWeJ7C+GG+N8TeBSlIWRt4OXIcAqyBQEvdKYOSxEgXx/TsdZeqzPr/m foq13bMn6GtfA9/m/tefbdxI2zjb+xPX6j4PBYRtFGlXXxsAYt9QQRZrLGhu9jbgUJPfOo7WQeuL ti+pFMe/hFN4fABLL4WTuSi9AKlbitmUJfIiRVkQAPkoXOJsPHig30uUjPkl+yCBQLFrxBb5vs8s FVEA9Vu1Wq7L/9RYbeNV1x0FfE6TxVDP0F8BgNsP27a1UYdv17kSXeh75my9Wd+Ttncf0mgdaF0/ tp+2tTDHuo0dU/f45mLo0H+XyTefV3/3px7VwanYit2AYbJBhJEZFzsJSjcAShf/8pv/GwPnA8Lo DF7nEoXjIEtuUazfwc0WiAZf4NGf/T3KMgDc+nAyBtfWhw5rEASVbKDYJCWn6GNXje4jfp6eVQdA Z7mULKRkG32+OqBtQ8bbDoP6ThTNPBhtWLR1v0uJMHYctnoO7WM271f96GdAl/fEdmyTpWznePv7 dt3TwmKZTfDRdVNC3a52OGtlox677jVvYwrCIouLbHmDF7/739DPp3g4msHzXqJMA8H+IIcTrIEg RlyO8eMfFnj82X9AUXbh8bDth0lhdGKxptMpRqMRjo+PW8bWHJwCBmrMVklAK4jFI3lI9q0jiPvh rXdTH1P2tDUlCZICQ6dy99Hsc90c9z5CvHn9rs1vf1jnIyXLIjUYDOGKQ69IrVownZxvahp2HSIb 5hP3NbUpzWu1EF5vcIl8fYvpq1/jcfclAidD5NMh1Cgc/RGQABczFNnv8OG7GJ2zn2Nw/BR+EIm5 CWldPutssFr0z5yXzpJRHyyM29hF6tMtMb6+RRSF6PX6LC/Rf4p61GtStGr5bE2xZTpWbq7Xxo60 9gW55jVwiHeLvwqBlnfWUIn7hOxWcx3qej3Pnez1RwCrDRb8QwRlsUjEvNgOcnORhHy5g4/dY7BN QDA1Mvo9NTajw5WuF1jdfIte9jWGUcw8vrhFykOyGyWIk+wx8Obwst8hG99ilvwcvdM/R9Q75kPc AE+SX/IcvV4P/X6fWa5dJF4ddn1uap2yjCjRBKPREN1ur/rBvnab89+2hjWWb+vD7GsfSgN5FvTv JrK6S1N7becM7tzrDvZTv8/8bSeAmLy0gnLCIjpGVH/FotnZC7PP/YCn5j9N5YDWY2OcaRpjPXsF Z/41BuGCcLFQ32vvV1RBPzmeU2AQrBEXrxDPEyzTGbLjL9EdPWQtkhqHGjsBiH4IbfNpQxICowtW tShKdLpdhGFUsVjEemVSvqlW4iAbSBNxqOftGFa3G7X2CP31hyDqbUJzm0Jmc3z3r8a1ybimNq0B IHtjfMsE2lmj9oHtuq/+vamSNDU6dMAUa0ctiRdIF68xxHvS2qIg414LZmsccBbtPURujqB4j/li hlUyA/Jfon/2KUpParYq1e7hG9dEOAQADrNoZ6dnkl0jauQgzRKmLJ1Op0F99njDVsy7jzZr/zk4 O+5sZ6va9v9j5IV9m/4+XRGi/6bGsaeQLhpTDaIQFW+rYEWyXhULs7/9pP2QqQWU9gGJcWseVbeE S4OaeABFFqPM5vB90vFKPl9h/opybC4W/8SPkNW9xChYYJZ8jeVVBpcO7+ACvhdKYKu1S4plk8yM Nn66U1KrFraL5kOUo5DqYtfzUBYlCinjNKzZVgTWlM822SAd2+8PGYxSHGmP0dmnSh74OCizKyB+ euDQ3y+AQ50lvlqtp9LAVgDSxu+Kh9VBlhu+sQllA8Obf011sQkUdjJbC6i1sCmAUgF8liZVfw0s m6+BbAEnFJvrmGNu5dQIQqS8IdmTfpgAyR8x/XGN8OJv0RlewinWQmpRY+SDQ9THgeN34UcD9hah /koIQ+XmO2u3Htf1kCaJVAiIc+J7LnICFoPsN6m8LnSr9TKpTdEw/OqC+7bGsOHUwMGrWCGZJtKx LuUe3MimhpA+uRbljqmkOaxtImFxXut1U4ChOJH6fQdRkM3W3LzGLy3AYbtnXz5RGeWoFUWOOI75 OgnJ1SIQRckWQDqFG8iD6bK1sNHftjnVzWG5ZBQtEOXf4/rVGFPnIeLVO4RkLvFITUsHJUdZpoDb QffoKxw/+VtE4RCFl7ENRnbVsHkI3zAakziw7PtFgKFpxMy56U3vi5bRY/Zv8/e7tsIpUaQrOI4P 0DyJesMDHF8gHAb++28VRf4TNBPp2GQSfx9d9i5B1PZ82312TGjrp7S+Wz1T2RJ0izV/KFDmc5T5 LR07toWgVNZZOy/cKis5UmNX+Og4Hh4Nb1FgAmcYwy18OCX5aylsRBLMCsv8v+HVt7c4efLvEZ2f oEPWfH5R3S8BN8kXdPjJX8vkiakRoCjVsLkGSoWsDJCmzWSXzKJcYYzZaotCmrUYL7/5T+gOzjE6 /gTL2QRhp4f+6SUK14NTeuxxYNunu7b7kj/MseySgahVDqM2LdbdJ1drNg7TTO3fbMChDgEJsOo3 BSBseXW7cN0RgCngpHAk+3Noq55wcsAhauBLghwQ/ofjZlIeEawnfcrjGJNXv4Of3mA+/iW8sI/T y2fo9IYNAMnzDEEoLPL0fLfblRot5cdVz7cCCEOjSDIKYzm/pjL72BuM2RksTIlkNcHbb/8PPA6/ R75yML/xEYUubl538ebFMzz87K8wOr7UPHPvH+XfB8Dt+57N7xoFETyrc4B1vNmU+3dTHVv9unUw 25viQ5vGMnGABBkmDKsOjgAOYbDsHH2KdTrGdPprHHUET6mvtQnMVd+KHVJvLgkMBBURojaJ70Lw J2leCOCaEMuiSIEsSXE6vEKY/1ekK2Dy42fIzn+J/tFjlkhovEHYUQ7m7LZBDAxxa8KFQ7OZ8P8k n1yS1V24obNx0xXsmDLSVipijStQfL1y2VCUl+U5p4TLann6R0CbYjm9wuz9P+NB8AM67prv7RDs Oi5u1tco8g8o3r3B2/ePER5/hpPzTwBH2IEUu0izUTKjeq9NzmxSdbUXHw8U7e/SV1Vd189t7epf UfKPhf5NgVEN4P6hvz4Y4kg23qhh3aB7hHz0BZarK0T5H9Hx6Pgp23/ddssjciGtm2ZsrK7pcXN0 nRwubhGQLSNPsHo/w3T9JYLRM7jBgA83sSh0mFgNTRosGysgPYUFWybjVjRWS5+7LtBvshhyfOyl 7PG76D8G/6LAevIaq5vfw8vf4BRT9PxVpRp3fXGniwRhmWKEV+gU18imr/FheoHo+C8wOH4ET6qo qX+xZjTe2o6zMbdqnPX4/hRUY3tTmj8xLn+bwK0W1oYFPrbtr+EwNR1Sa2Yhjeof+ThFgwsU+S8x v0rhls/ha7ebWNakJI3DpWE6BhcSWgUzpN0hnyPg9UocDQCf/Ktcur9Ax5nBzb5HPJ5guXwDdJ+h d/wUnc5IaIP20CoR5teVErrP1j6tqc52mO10SlIyZFiNnyO9/Q2i9DkiLNANDHmtFIgi9B2S1+F7 OXzMkRdLuMkH5LdjTBaP4A8+QW/4EH7Yk4+zX/R+Y2q/q2F8PrRtQ4I6YhH3KJcc8V5qlTdv+1j3 0zT9KVrNHzZZJOVZqh8YP+ygd/QMszzF7OoWx+GMsXWbYkC/rgMK/SN5gWMy3ABuYPpd1bBKfyK/ wINjV6hIpa6U3tvxY3j5WzirWyTJeyzWbzHxn+DkwVNEUR9FnnN8iu6zpY/PlMV2CeLqGdveiGMr NHyr6Vuk439BlP2AXrAWdi7G/OY6ORj1A82uUyJwCwTREnHxRywXb1Ekb7FcPoXXf4KwfwE/HLSy TLuUQvr6fqyad9/WpGiiVVosU4bYtJbumqiuzagNesbd5pC2/N62IPp1RTUki64beoi4Bx30zp7h +uYLFOVvWGWrKIHOo9nYRLVQLONkxN5kKAPCooHgurTR1KrJEr5bYthlqxDLL8RiKPbO8woMvSVW yY949+Y9lvgeXfcvkQ0/BZweHF+4mmg9V2Oh6+TMWAOH/dDsQ+npzNLI0mSB9fhrdNIX6HuripOk kW8qcQsMe54mYwgbQukWCN0ckTdHkn+HxeQt1otXiId/js7x5+gPjiQFKCpZqH0/d52Pw9o+1LVJ QcQYdGRkxIOIw90UcgQmbPCx1qZPTt27P4CY/W9XAWtGqyrSUDhVCggXYMBsUF7A6ZyAzBQ0j4be Rf5PYTkF2AprCd0/yQEeHFfqyFmc1satLaqixLyeRc7PCbBly0E15jQtEK/nuDhew/1wjeX8Z3B7 n8DvnKIIegg6Q/jRqAK+arPYRlIjJF050rZmNoBRh385fY8we40usYC6cc6y1Y4xY6XYERRHXA+8 AsfeAjfz73AzmyBNcoThX8ILuqL/yuN7Y5TN1WxEiN6v0N546xZK3WootEv9hw2mHXLt100WYls/ 5nXCphRLoUJViyIT34sMZbrCevoSxfK3cAJSyTZ60v42ZRDNs4ObMlCa7uc15dAPae15IPReFLgl 2Bm3dJEVDpZpjrQocD4iirDAIP8W49vfY531kRQjdC7+GsdP/ga+L9TYet8mBbWtTzt21ObuAvHy CkflHKFXC/+HNafxWYBMgVVSIll8wKDzG8w/9DF68BmR852HvR7n/bBTu9g4Xfa0AQd9bY0H0XXw SjVoxUaVcNN8Th9gfaDqe9oMd/vIBvp30U+OMicLeorF7AqL8Utky9cI8vcYBLf4JKKDbTkEinJU jlnNRTOd2JRxzoz1qNlLu4xQsS5ejkXqIs59nB+RijVF7ga0CbjoUj9L3K5WSIunKHPaHRzclCq3 1fhJMhVhchpzdstuMzIGWXagbjzskArWXFBKFAl6foqj8A3G439AMrhEd3Qm+9wf8e5kFfdydN2u JNi850BDoS29yiELpgZiDkwNTsdyNv319nfUh/btD/8Z2c1vcRTM8KALeB0y7klfMmQaK6B3YAq6 m+7O5vi3HT71jB5+Ky5KQ2XpYBg56Eci/l3YIXKUbM8g9tBFSqps10EQhTvnb753ExPK3yopSBxQ +pYup/Cyt3Cwbh4MjWU6rAmERwkwHp5KauGWOHJvcf3hX/F4+B/gsMsP/iQCt3WEcl10T+w7pf1p YkfushXjtx3qpqDfbO2UYHez3btezdFLvke3f4uOX7CLe/NwN6mQEDF2UzDbmJVx0qZitbGK/Jnj UeR1OkQOZVBRrxdySs1dkBKAPIZ1pcN+rZUtlc55hCSI/YzXC7z61/8Fj7pX6AY2x8C7tZL/X4hQ YsdFkpW4neZYeLcoc8oPIP24eHbCCtR8ujZ0fiz1qB0P5TdNdctrIeWhotguUuzw5lWd7160zcOy Zegtbik29sz2mymnkMOgWybwXVLF/nT4SWc3dzXT1lK32v0dlquOE3CiCcX83QdwLGfvMH37NZx8 IrwQsjHOwyv0/Lg1TuZOrZT8JGsLXcSph5ulg+PTH3D9w/+K4eO/R9A5hUdKj8o5534E8X0Gp7PA +55tf/cGt8sotkN8iHB/H/yjrsXat+3aEhOAbcBpG58uo5i/2w6wfk05rcDxtlqfdzVzTMlygmz8 B/TT3yB0FkIeclN0yBvZVeZOpnEf1RxJmdUM86JEnFFqpQRnYYoy/RaLty6653+DzuASnqQmhMDF zA9XDm0/I81dtrHNuzWz0g6ynR/b7KTtkJjq4U01bvOz7cDYruvv2SYf/KmaaYTT+X9diN/Vh+Uq u5PzvzvSwaa8lCOZvQIW32IUTOGRqlpjNZo6m3tojlR0UBRMLtTZ3QDosJp8jjz5HRY3HTh+B93e sYjVsZzRfdirnUMx1dStGTG3tzvGgzRZhrsEy+ikzuQ5G9bpHRi7kimqsWx/r6kcOLSp58gvTPiG Cdd0pbVq5LFqebf1mjq4hFmZiggbTM2nqzELe41SgrQvs4N4OUW+fomovBahx+SDJZ0tleaOs0re E4Q41ZQFRSKXFcpnQe42AKVWzdjguljO4LiUv7gnYmoqZYZcg23vMO4Rsq5+xybYmyzVIXtvVfO2 8Wj1dSEAbR7q7Xp5fYC7+ECbi0Fr/weec5sGrW0cbU1PHKfUujbKYQqdrVTXAdIcSJIM+ew9gqvf SzsmCdY+nPAU/dE5C5dJkjJwEmCqjCrVvGSwE/lZ5VnM0ZW+KwC5kbZJHRSOoNwfQsoWKm828sg5 6rPvMwP5YgVcLz1EpwnKxfdYxu+Qds8R9i4QdAaSkpiZUrYDR7Vw9eisAFbvwS7g2mx3jijUBdBa FmhGZekvb1tQ+wFtj1Tcr9mBvo0dvEtTlIIOqqm2tsfy27MPqudSFJgugPVyjHL1j5hN/6lS/ZZu D/Hw36DbO0IQdRkLk+NiFEWNKEvhQkBuIhl7EXQHp5hNj7GYO4gom9CBavSPa6StE35yae7g9a0D J5+h5/4aw0GItAiwujlFMvoSvfO/QNQ/la73ZpLCQxKg21XUOkss1nx/ubUVQEy2ZzdVsX/Xr+vk rVXrUlKUXCqze2wXVreSSg09mGya+e59gMUmc+iOhe3zaa6VeY/yqypSB+NpjNHAx/mxYEs4rJVs I1jjR8r+XiUaEClMTdmMs7sopp7iZfwOnM4DpP4p8vItOPOwQx4Fhtp7T6pwEGAJlRw7yWeJi9Uq xc8/7SGiRH1ugcKJ0S/eYDKZ4t1siWe/+B/4OBZuxh4HbW1fxKnbPMT3alB7myMOz2rSakm3Gf8M wVyjCkpuMAGGXa8XU1xdv8Ozz7+SB0JNTHMy3JJOZt957NNMiqPkDhEqW9tD2jZNHNqicbDbGv32 9FGXBWmxOB5reErO/pChzEVSIpXg2XR/kaOU/yjeg9iqAlHvAYrO51guxhh2Uo6KvGtw3K7WQCAs gJNXZA4vyPBnT4jaZWwfYTrB1MBDRGG84YgMTHBYXb/H3igZSiW52GtcbYkvtjdfZSOpHxBkTvF7 4jeV3USVFKh1ytsWaqO5IheUSPWvZ48okcQzLD58g9Xbf4DrlMiefA6fvFeJxeBhyRQ0hFWVawT1 YeoLpHZP1dZoHZdc3H2opPldyR6mK4rOZu5S8Tb7phgLJY6LRHJsSaDDxP3QoRLJ5GzGygaSKSlJ dn38w04fSTRAPC4wItcuDh2mcatI0vtLkuBYbWEOQs9BWKUUE9GGIktKhjybYbF6gfTbAF7/BOeX nwklhXSSFfOXCgu2eeW4vX2P0fEFHEpMXrn6qM1XLJqwxYglq7O5NMe3G0lsJG2w6fyb3qpNLcH+ vKxgedgblqLseJN8FE6B1WqG9dW/wpv9E876Y8zjAG9e/L8YHH2C0fE5PJ/cLqTeRYVFKqHujtjQ NmrbglVUQIsNpyyLuYwHb1NV68/bPuv36yygSIJnYV11/YyFVVOKAiET1XEvLhXx8QKZ3CFBSRW2 doQw3GdzqS4LzZEpocFeOg4GQYLIf4k8vcHV+wdwzh/D9ZR1Rvp2SQf7ZH2L2xf/gCh7gav3l+g+ +Fv0Rg/g+5GQ1aqeRTmJ5vR2V6+iZv6+1ZIurtUu3Nv46Z0sD8WSEwVyOac6Dz5e3mA5fo1y+QM6 2Qv03Gt4FITjpOgW/4zy+ve4+UBA1AeCIdzwBL2jJxiePKowoEAM2tgNTUV1eU+3F9PXSrdvVAKx RVXcBghtgrttTK2smvz//uxEY4KA3wfCE5R4L9ZNZMf7yZtjMbSazXfINWiJzFmjU6xx/c3/JAOR BTJk4ChdFE4PQeBjWHyNjjtDXs6wfDfFZPI5eudfoTM406hinYfMHIONwm9Dbluyuyug2PTNsm36 LsG7yDPkBWlfUmTxAnk8hpf8iCB5i6AcI3SWCMipj0NKC7jlhBgvEDIpyhBlGSFPukiLWyyDEL3+ mYwvAGNzZkcqLGAOoHWK2mpIO53sgzCubhVX/0x7h05ddlGIfZsN2dT59O1t2/r70RH8/qeIs2v2 VRP8i2RBq6QFpuJCjQU/fSOFR5njKJojzb7TkhOKl68SF5OVj8Tx8OByzix4UMZwspecpHz97hZp /BVHkJJiwqYJu6sGcw9L+iYbYAZDic3Rr4nNSlZzrOcfkMdXcPM5nJJCV1O4xRpeNkdY3iL0lvCY /66zr9M/j7QtfomAgsnpOSdDli8wW6a4/THHYvAEftRDUSRYzm6Rj1couw7cHj2rjc7UrcuPtU1L yDGkLVIZGHW2UwnFbdhwH0x0J2WC0vlzgjblgtIYuRyPrnJXAF3fl6YLJMtrrBYzrGPg6an6TUUG ipcpxYnp9l5Kjdg9JBupmpIWKraRw1McdPwSkS8pslsgSQssYw9xSr/GGASZMnXyXtH9YXkDJ1ki vlljVZTonX4Gh9PD6rJJY1EPQkxbtViKxWp+l5PU+qk/V2Im4tUU8e03yKZ/gJN8gFvO+eAGZF2l ZH2+TDEp/WGUhorkE4nD6+WU2I4C6vzkFvHNb5BOnmNw1EdRxAjSDGk+w3iRI86AUcdBL1I1CWVl JtZ9i3dRb3FSIk4L+B4w6DSXQVEKhRhsiar3VVvfqWnGQwZS6ldGJ25iRvVX/CZ4ftZ3IUtiJNPn KMb/jHL1ApNVjsujgOPmZV5RXbKxZn7BvVOQ+n1qNrx+EhDZRkHgkBa4nrhYJB6flVG3wEmflBOS RVRjdkr0gzXc7DlW4xJLN0Dv9GfsIVDjRQWSW0bVRn3Vj7tlEXun9mslltd/hDv/Rxx77xH0lJqW Jic0DLwkVSJsY/k4/66Uf9QyyiTMnPmmWGHkzXFCWQk9wA1cJFGJq0mB8ZySPrtwPBcRhyVIVwrH AcUgUd3NVVxisS6wWGVMobpPQ3gFuUI0ZQdFOdpYJ9Much/NpghR+7vNzlIJwhLbJ3mKePIczvif MCifozPMECcOruceHlGwFj9D2qJcJ6caitMURFp6vHuYYd2TXpKiJvlYJsB47mK8cNDrOLgcZeiH Od/DKZLog6xTo/rseCvk6XMsrnuIjkjQ72wg+EOaWutGTHq90Tq2bAqj9bU2tR59KJDPXyJIbuD3 ZR4MxgxiJUTeJPvgTUzNenPpTpLlJebrAuMEGA4p7oA2kvrLEHkeHp8GGK9KjBcZrqYZzoYBG+By VwBkXgDzRYnFskQnIiOfi+WSWDcyZ4mFbq7D7gXU3UsOoSI2+1G9jgIxCIVAnZRCPae/T/1jKifj 3ulzPL5GNv5n9NPn6EQ5Ms/B2dDHj7cZTgfEypBBLhAYWWOu6B+t0zrOGXmEgWDxhPXiHpphBOTT xmeiRFpSOLKHq3GJ+SrH2aDE+RGNQSXvI0pO8qkOHHU/AdYIsjeIx2/hn/1MKlO2r/1OIV3/QRn4 du9xTbIqFkMuI/3N0jXKcs4GLmHHIOFbOMsxcEl17370WywNszokzJGFOC+RU9VaBHCQcJ5YxxFZ 1I97LtzCw9WkxHdzYLmeoYjpJCfwHRdnRxE+fdRFv+tgMi1wfetiNk1wdhxVvkr7NN1S26YVObQp mYf7ZYOaZBNYrU2KjhRZqmUj5/tl6QmVx5dW1nEQX/0WvfQ1OqF0qHSp4E+GwczFh9sAl6clIorw a4Qeu0gLBzezDD++yzAKHTx72mNgsvnF6Szmvo1TtspPlU8fsYU5MF1E+OF9hm7Xx88ugUGX1NW1 MkEockW+mAbrL/8Sx0Dq4uuX/5coehQ2Y/r3YbXMpqX9URhwM0cWC7k0UCUoaFknqsNBUMV1LQpc Pf8vGIKC9oXtgzZ7Q/26xWLaYF3kmWVtpQc8OPXgByXeXmV4cEmhDao4jqI0BUZ9oNNxsYqJTTpG LyRVIi2vrIVO9xfAoB8iTnO8/TDDMSdQIEc/ArBNPbpNpbvN5rGLbbVhr5qaCFsP30GHuCgw/fAd imTN/k1OSWUfEpT5GmVBnwu2d5CbPCGNZdbBo+B79CLKjihIO/3tei4+vXTx628SHI8C+FEqjqtM y0Pvmy89vLoGfv5nQ3z99QQxFfGh2vFy69vmwePWdtgu3FMCC7GhKqWcKiGxzgv88eUSn30S4aiX sbpfP2sKhNX+EedQWT6U2roEAjfBIJxiMbvB8JTMAcrvqh6ZqWSyNTUvpiBmtg7bAWhT6/LnQpCy 1Etx9d1/waj4Fn1/ydjeNhDdCt12yEweXwAhux+jFwBh6OPFqxifXnjiParQi/xMlluSfciyzPqf UmQ1US5aIpVmjmEfiLMuvn+1xJdP2KNPGCNlppS2hbRRDXPMhzZ6piq5xuwjpQ/yERYx/uL8DRz3 nWBthe69piRynen4vB27QOai011Lg5ssQsqNIi4LPL7M8XYa4ukoQCfMOLcVdZPELuZJgG6Hstmv 8VdflYiIOlcnfZeqVCJRZannW+whvQqcBAC5HMD1iy99hJ5id+v107PIs8KCqUndb5V5kf3PPEQl cD3HQN29AAAgAElEQVT+EcPThx+lZaA5VnaQbW4WzEYYE63JqzTsFzHeffOfcFx8g54/4bjrVsPX lrJcbQesAhzChBFwdlrg+csUT88CPgj63az0Yewk/JGYkzQc1MQmEi/uYNBzcDVOEZcOfDdhblZQ JAuva8oKxjzM7Oz7As0GUpKqz8LJUXglItC4pCaLw1qrGETpl0R6PxfzuIdRsELgEpZWquF67wgv PT7y8c37Dl7cZnh0AgzCBGnuYhJ3keQ+Hp9N+T4XIZyCvIlTyRrvedi2yMbytGl4XOb9LYGeR++h zPk1QKhdb2jYNvpvUgSvjFGs3zA3QZ7UtraLLWwI6Yc0s9ofdZOlS0ze/wuOst+hF5AhJ20MxDxU d9b4yMco7rzrOshyD6QZJ8bCKvDzhlL92s2YB6WMcJ0CvRA4HnXx8qrAp2eeSNYsqyvtGqkuZNtU vofw6BvUVFapFg5+9E0k75Yd11ogjhkBlqucFRmDIyAUZHOTVST/rMDBsBPj/bhEnLiIqIyE4yPw gLP+AqNQOA2WzM/JRHl7TUG/z/6AOOjq0GpuQky1CSEYiFg9JXk1Ib/q7Jw6j1JNzFxpDCTXVWk+ y0rvTVn2BBCV/F92LnXV1DKqKDv+Ef7snzEIZ1XGjordMdouy31b4+dUmQNZOy4MPazjBFHP3eB3 zZ5sgKm+UVLms5GLb1/nOB/6GHhkbGzXsNn9n2qbiQqm2lcj1jZ3ZZlQGraNWWlqWNqTNKNMkilC X8Ri1GyR9n7+mON84OHD9YrzDQdeCM/JMezkGHUSEWVIck0pX7An5WA6LlkgMWIL91CVhOP8Lg0N mnJmtKIlxUmq6cprTTZYyUo5QmeGeDVHt38Mh2QoTV1dewnoVFvXRNIntwkg29kAOQiprVJRaPRI Gk+xuvlXnHk3IobhXnTllhHUOmT5VwQGVSyGmP9Wi28TSBTeEZqxfljiqO/gekZhog6Hi+5L50w2 VQENAUlbCbV9+9xkJRrDr7M3kmFQymmbxSE2Wz8qEHkFRt0cx4MEVK2ODLhsf1LG2vLAvVSJ4/j1 ioEybqmoSP27Y2GpmvPdHIc4gXqeYHlKST4h42GYYjl5i6jbg+9SsUoRKNXW36YQrwnp25tlcJz9 2EGeJkhXb+AnLxD0Jb+uCUw/CYBIgbQoXKRphk5EBiGBuPSEBNv6sR1YApJHpx6+fh7jdBSiE7SX jrapOtV3+qccHk3Hx4+1tm8+X1N1es0qD+EHytKs0IaBj6uqtTkGfR9p5nFuqDCqMSe5k/4EJnTj YN/VhKfha5n0Ic1LNiDXFcbY0R3z27cYXX4Kn+w9VhZ7s5nXdwKI2N8m78LViYoCyeI98vG3GIVL nUbu7eDWpi61/VYNnPltFzlXW0rgIGo4p7U9t+ugEuLshA4SityjuoIlyS77AYlNcDddVMy6gPv6 v22XYWpMWxQ+JqsIx92E0/loI9y4ly1WZYmTYwcfxi7Gcw+em6MXyYR2Ur65/6bYKpkDzGAb95fX pFzl5BzHP8uOkJQDrvfIAML01EPpkW1rMynFISyvxVlxlwAjDk2SzJDO/wg//iPCjtJv19wyY4gd 2pvaKLk/PhFGSUorKsqjkWU8DAVbFLLsoLFcO/ppHGzJsxOL4RZkYSaVZQs/vKe6Vndy3Mzne3ir 1d3NiA66FKclJvMlvrj0OPiqls83pDFW65aFi6OuAyI4b29zXM8Kll2o5kfhqAKdd2wtMos4E6pn 6aCqP7bZUctZJMpB6ucM68RF0f8K3fNfcVb8PEs53ZHveTiOeqJIqsa6tTPO9jNYqXmbG6es3Ao7 arlmSf4oSqxvf0Q5+RanHRGhRhVh+R6WDsWumYeB7W+0uSzIErZqCljyMRl7IZ0FVcBNYyoF+p0C nz8d4ZuXU8xWOZ49PscnZw66UVPluw0jNdgjmmUmQmqZl99kThrP6Yfd5pNlYn8bZdulAjZ/Y96d g8RqJoUYW3IHfz8GRmGO0CXXcQ0rW5CBK9NtEqEZhDlGPRezlYPp3MXZUPfy3aOpguos2JtKEDFS tmxwMdUaJMQ8xF3Vc4oL4Xh8ae9RHtYVvRGWeFJpk5knJ8rs9xBER4iiLpih0JqScWopxaSu+vnb ZMMalvS9WgnMx6/hLL/FwPsgMqszSd/UN5vA53mSP6c4C0vWE2XJp/sqFSA7ptX+L0I75iFwHVwM gbMvT/DtiyVCd40CYWUVPpxNKOH4xI+nbFdRgVGKxdTnoqf80RM3tNl81HPq+6HuGapxTgZW+dKH HEnq4f2ti7fXMS7PI/zVAyqRtnm42xUvogVuztqsnNOQrLnEtVKrfkwrqxREok59Lg/+rqY0luSV Idxnql8YIPPSwZuJh6Q8wzp2cTzqob+j4tadDYWEMbdluzaxz2q5wLtX3yKbvMODQQTfTbm4TO2C rIy8Wsqz6pDQhAWhM63UlVVew15EPWr8rpowKpHDI2XASJFjkqT44mGX7RlVnLupEd3hHUCHLymI zfBFMU3WoZdbM8rfVX17NzuJ9HcjNpZi+xHhappisorx1ec9LlTKRvg7nOteRJ6zGSazEpdDkr3u qzlir8guVgZwyejILksa1TGf0DwzdeCoaA8FyOUevKO/w8XlV1wt2A06cDkLDlr7uytr66tQ0r2m 65C2I8Ljn/01yuzPka3f42b8G4zKt6wiNHXKzVYDROVULYFFBwKVJVb0o2I6GqOoyCUVo/nD9ws8 PAsxDGUanMp9YfdcqpFJd4DpnMqM9dnXS3kgm3NRFKCtiKZpXTc3pu3+3fahmorS2N5frzGdZTgZ BehFJJJuFhVtPt8uC5LMQgg4jV3EmY/Qz5iNdrYeqF2yqtgp0jBdTykEAXhwJkrUNe+pe1OfpLZa AxbJalUyVwl4ffgdYqt6lUbrp2i+rWqS+C4noL2X7gmCEOHROVts4/URUr+L6fgbOMvvcdKdw+P6 20IrVC9iHWeg83qKighXCeU3JN3HKYMgaSiWQF6W7PjY5ZIZYnxUa3y5dllNSW7tZDmuAW0/IV1v REHGswz9KORKtRXt0uZv006ZgKbYL2pmQc5D3G42m7aGVGek66ITkt8UZ7tq6Nu2aQVtjZMndB2s M+CHdymi0MGDIwddiu6r7L0SE+voTFrpBaJravcV8qO+g7CHVfgMN3kKL75FP1ii46eSVaxrl4g4 DyW76FZ0Yd+opBDXQTz7HjevU/geCR0UVOYhKUJ44REePvqkYkUVolVraK7p1hUnGaQtWk58V1ip vkcEMnkUCM5FMr2jZ3C9PtaTE9yuvoeTXrEbA2mUdCG8yVKZRhklqLnISmCRuMicczjhJdyLU2ab lsvXKLLX7ARJj8Wpg3fXazw876AbyjDT6lw0yfQ+jaa+WJPzIhmaJJ3aoitX9o5mH7Xtw0Q87e89 IIakOpwl+l0tbU+FhOrIdZviYMsoMOwIp8DZuuCshx9mHZwOYvQDWYhI27NK4OUDrVS3em/Kck2s YIgieoLTi79HTv0kYyyn3yLPXqLjrypvsZrq1++qkSo19Y6Sc4eN3NdYjsdY5oQeyHv1BF7/KTrD SB6pzawmd7HttCZtaOOdxUbIXLQE1W6I3vETeN1jLG8vUSZvscjeYZV8QOQuEHmUbqbWPqjBVhtI QFE4iNmvaoDCH6HonaEMn8DvPcDw6Jwdkm5e/RbxZIluGXPW8Jsp6TEKnB15bDm1tb0PHh+iElFA FnByLycHve1Eu82TV1EY/Z5Ded82Ocmukt/8rGvIbJo0yxsReCVOeuBKthTRd7Nw8WEeoOjSYU9l vLvDzp2BL+J7Gs6LEsMLXwrxvqwMscADuCd/g9HpM+RE5YsCi3CIeDpCmrxhgPGwRodU9Yr9knkC KvZKnnUqHZdQWYXYhxuM0OudAW4fhduFE56gM3iI7vDMqmW+q2q9ASB7C51srXThk5sge7w6CHoj nPaGKIsvML9+g3j6Aln2A7L8A/xiXftjcjpN6kkGA7l9ZO4ASXiM3L9E0HmA/tFjhN0+m1U8qe3y wnPAP0GcXmG2zLGIc3xy3uWED8J4qS/G4QtCm39xEuB6nGLUi0DhFaIGkp2f167U8pMmn+j+WOZz +6z5fnKJ3T+sTQZqfUZRXAonAKl+yS1+iXeTEK9uHQyGn7AwXGRz9NNbHFPJaBk2rZCdomWi/xJp 4WGBc+TDX+Lo8ksR+Ux14F0Hg7PPsYxOsJq8RrF8BycfI8cYfjqGWyTsTEn2GFbnFsRqu8iIEvl9 pO4R0ugUZecRhqdPOV8xqOBQ5UlBs8mN8Wwqg/bWYu2zGfrCC0OdOgzCgs3Z/EpycSPNUoDRxTOU Z08xv36Kxc2/wCneimAqZT8t6FkSKz0U3gWi0TMMj56g0x2wepHvK0mfr3xICkTdIdbzY1xNIqyW BQY9H0G4aWzSpodDGrFVZ0MXt9MS02XK8gO5mxB1arOHSG1ko3KRfggbhTy3pChtW2+exYHalw3b yR72FcXikoZJ+NO56HjAJ6cZfv0NqdL/HU4vfobJ+6+R3v4aBV4JW4kMfmLaoTlGklV/XZwg632J 04e/4JIO3Lf0TqC17g9O0R2cAM5fIotXmF09x3zyPdzyGv0yQViseHxpGSIuu0jdERA8QjR6gnMK hGI2WFSqEpOif3X9+HLLvNvWuZWCiPibGvrbOml81ow4Ku5AgQDLLi4wOP8U0egBe/xSHQgCKNJt h37IQjYJ4p4X1CyJPIjMXTO5ldKfU6I3PEKy/Azz2zXycI4ijDFPX7FrtkjtoykXLI7EJga3YVPa 9M8fR/juxQpl4eFo4CAi0k+sASEGmVC6CgaqUrLa1bb7sFrqmq20m8kqtcuKH8diMpKrSvEKYCFA 8Z0UT89DdCNaUDrkEYoy4DAD2h8KOHPIZlT4yGXIM/noLbM+0v6fYfjgl3CIFHO/yuVDykmKRStJ iO/j7MkvgMc/57Diye0H3EzecS61aHSKwfElI0+RSK4es4iC1LVIdbaThnfUDi/xbb/L0e8WJLdh MvMl1X3kIRpG8ANRsVXfZIoMFNjXZGHUQZOuGXwIhf7/5OJzHF38jNc6Xd7g9e//RwzDD5Xll/uq tGf2MW47NALUSzz7dIgfXy/w7oeC40QeXbjohiL2XQRhiTyx/IxlDoeQdL3E9iFtX4q/d3/SCKfU UULpUQoKwRslqvHOsgEW62OO+RmGExwPKZ0pWcl9PvDzNETS+wLR2V8jConl1lVbdiegem9cuH6I o/NHOD5/Kn9UckiTQlMsvjhP+Ki2q+Ykc9oq4sxGPfRJbGKszXSkpnCoY1Pzd/P5hgq48t4VFu2C Mpyz4ZCjFZD5Q3SO/y3i+D+iS/yqsVC6BVzHwO1AInyUnDxEhBSfPQyxvnDx6qbEb39M8ODExdMj ShLhweVyTWldYUGyWNswuUkJTHuJrW2jFPsoAO7Ke2sdoPoI4PjsKY5OLvm8UNrY8Tf/M06KW3Yj ofVbpi6S3lfonP0Knf4ZClpPTWLW18g2N/5M7uqlYMlEmWwZvqtxCdvmuw8btU0uNJ/XvHl3A8c+ WMl2AE3gOgS7kdaDsXWV/kd8J1+t3vAE60mJTlfbywPPQT1eB07hIfcytviS7TR0Cjw5Je1OifF0 jX98P+Ml63aJ/QqRZ2ucDkMMur41dsJU+Sqg2KeGIc99C8XWx7/t3o9tpebF5HCtwS4jUt+bM1vF ni2ug6TwsfQ/R3j0C0SDS5lgvKluN1lbm1GV7+eYFJkOqKIgxrjuM1Hflqb5Ym2esG2Cnnqm/k1L 4mCFTPUOmz5at4uYv+gRbYqFcuB6HrrDE7xPehh1p2yQYnZHvUHeZ46/TWit7DwqESMnTMgQueCI xa4f4HRInqE+4pyMlDF818frcYnzLGcnP9GETaZSaBgHWNds3TebtKuvXU2YvdQeqqUmQVjaXDT2 VUgSxG5m7Bt1nTxG5+Ev0R09hstZIJvvrtZXIgcu8SCTfWxgeO3/bUFbOtLZRSFMGU7/zXzOXHMj 7U/1aU/o3NTJNwepDoL5jGMcmHqg9tdusmGEZLygi7L/DFn5DcKSkl/Vss9dmlBXKqxX1zEhFXC/ 47G1me5I0xLLwIXju/jhbYq57+FkGMhjRFSjeRhMgLhP7Gdi4vvpl2Q/iXAk1hFWaaW5ZMsJMozw YRkjoTxlg58h7D2UpSrqfsyDWe97xjYnYXjenNMuVsBk134qamINmDInpdo+2ExnWQQgqMls3kP/ 8lxUPiWWSS9IuftFpEYNcPzkV5i9fIMjJ2FXb3E2my7vu5qJWXhs0hhqs3uEPnnA+siJuvglVnGO +drlnMC6VsW2jtuqTG1M8Z6ox10a13EBJP+/mdjai/o4fvzfwcvncNMY3dHn7FmhOV63nqMsSzBf zJFnOaKoU1Xsuk8Ech9rR2PwD4XefQQl/XONPcWzyntY7y+O10JdLGvv7QWIdIRdYHT6KV68eYo+ Fgg4y6ImsFdStH2cbRtRa0pqDVN9Hx0dmXS7AE4HPj6ME4yn5K5BEWy7heb7x/j334Rm0EPoF4gn f0S6ngpZ0Ivgd07QHVzg9PFfMkuaZalQoFQZ6O3AQd8JGc5mU8zmc65DGWrZD/Ua89vWxTwfu+5t Y8H26dtSQEcTWiUfr7ND2wYvsEftg7Sp+SqxXq0QhJTIQFRopUWiQ5UkMRdIEWGT7Vi2ZoCIMyaL qYvu6VdIZx8QFO8RUlaV2ri9tW1bKJqrqMqkJXOT61OUOYqSQnOB40GIxdLFapljMivQ7VAKTLv9 o01Tcp/Nqm4/sAkNr8h9OOrGmF//A5KCith4SL0L+Ce/Qrd/LlKGEhj5oRaK1D63NE0wm80xJ+Dw XAwGA84pwGuqxe9v1zbaZYq2NTCvbZP/bM/5my9tHvBtD6smJlSri+VV4x6q55hjtVogTYXWp0Pq JwrYCXyubJulGRzOBL9lY1WMgNSvEkt1cvEMt8vXXDCyKG4RIJZhp/uxhPp89e+t2R850bDw32IL /FGI9zcxXrxd4fwoxKOLcOsG3Ldqtk2YbxNat2nHmLrxF36CvQk6gcgekxYu5k6APBoK2Uwa/5pq nk2qQfcSWzWdTjGbTdgjfDgc8f4r9jultPstGk/bfPYF/n0UNNvaBotlg9xdOnzzt7b+SPN0enqK 5XKJxWLOaSLpEAZhyKwVez9p9ovtTUb70UZ5Pk6f/TvcvHuAm/f/hBF+xHl/vVcKIhsboBoDiFHs s+HKznYZB/0+8LTbx/UtMLlds2HRxKQ2e9H/n1SirdVjUxoleexLB7N1hHz0ACeXT0WG/spmZU9I ocZJlPj29haLxQKDwRDdbpeBhA2Dmt+aHrevmwP0M3cIcNxHawCIDWJtGNamPTA3TVzeVPtSAcxO t4tev1/V/CPKkuYFcioZLBeqrW0eLIob9pD5wOnjr8R7x+Qc+aP8dY/G1VNbso5oAMKOmQW5fzfL L5OVfzVLkaxSnJ0LNw39zYcAwy5Kbd7Xxo/b1Jgf0wqiFOEJiugShUtlpkUVWdX1NhaGWKvxeIzz 83OOGyeOgVTB6kyZEa06MOjfzX71OZvP2NbjkHVQYzso9aj5EpMFaQ7ArmemprJ90CIJTskV1uk7 xUFTsEzJxj32Ro2GKIIhR7CJ8m13PxwmqWe5vCAlg7yuxZ1QVpE8B06HlBGlOf9tfR/S/lTGsbo5 1T8qi+AEZwjCM5GkQ5ujeQg3xyiEc2okY7quSM8jnlUeLZvq8OrpPWW3+1gbs49WAGkjZ+2DF3lj lRbMNpdNt5PqF0FuKeluy4C3LU6Vah8OBqNzzBeXmM2/wckgEdcZeLYs7g6BUBsNHNrcSv0rdJqc xC6jZAIZHLdZk+I+tVU2lfNGpmRpv1C/qk+V5oLDDcR6V7+JHROfS6oRUuL9hDybyeZDngsu/KiP s08f4nRwAqegak/NMhimYG0eeDIKEmCostDqOn1UWSibiiLUKUqVdrmxhobkw4Cm+7XtkGUtTZ3d yiNYz+5+V/5u3wNgJ3VqQHJjLWyEaYswMZT5Xs+P4IanSL1jgMoec0qi3cFPej+mRkV/l9LXKw0X jft2HHP6mYuzblURSrloqPu2Jca4vybXtuGZoavtlXpPHTqFxskTlyp4uVgllICui2Sd4Ph4jYBd 1APMnRO43WM4fiDKoMmEbMrOpa+VLjeo62TvIEGc1sMnyi61o2pNwzDU1Oo2QXxT6SPepbmoGGux gRT1Oe+xltT2YrHaNCRt8sq+uubaiFgLZrrBKI5jdDqdjSpOJnZqsngO3M4JnN5DZPkVQsJeqqbG AXOk7wqrtcaWc80glwO4WCXa9ys3lV3rpzfzMNnGsmtNtZuNBAZt79b3TkR0TtcRFsuAK8yeDwv0 euTy7iImsSu4QNA7kT5WIhZkm6ZPNQKIJEkYAMxqwboMQsZCYsN2A8YBqnJ1LvTcCAdqCTeKeLa/ a1Mgr6/tt6GbAmV9XWRIJx61eX/b2NpUgGzp7h4j7z7C/Or3OOlRcoDt82q7pgNIW8sycSDpFnYz IfduNpptHoRdzQb0h7Z6N3ZrAdXfZQxMViJyLwpz9MMYR11yYRd5hCgENxido9sdVcnrRH7E5vrb 5qgApN/vs/aK7luv1/xbFEUMOGrONZXdZ+7N97etRgUc0l2+8ese4cgbiePMB2wahfoFaqDGsHYc iDbZpgIYyrrouLx4uw5NTV7rBQvCLpLuJWblGY7xbqMe4q5F0flpG2tUsaNw2M2EgKNHIXjsbJxx cJF65mNZq61arfqumufm81UrEfSIu6ryc2PPCs5QQ1q8QZjiaJiC6SC7lweAk2FdDNCPTlg1S4Fu NY/fXA/b2BWbTMCgrhGloH8KASlVL8+pOmdyjvy1XfYwV0S/v6o8VY1nM36k/q6zoVss6bYN2TzM 7SrEXYDRXEwFfEqzJch1Qa4LhIgbjm92iBc69EwexJoVcsMT+MMvkCbvOWdX26hsgFep+DSWwLo2 joP5KmbBs9clT9+ash4i0+2iFvWaaaXQtFT+dTy2VDgosNAyoCvWT6/UJDK3FJyjl+qQC1mklgtL Vle7nDEEXrdm3TRg04FAn4vOMvd6PQYIIX/4TE2IqtA1YqMVIqyF/WqBNwBBCOI2AbwGrHrdhYOl fvjV71qPrXvBZ8C2IVL2bGgn6k1Xg7G7cx/S9GfFP5dZlDRJeeF6wxEcZ7sDIy06kexut8MOjzoV CXsXmExdXPTTRn7hbepSJXiT+7yuirPLWA6WyxS9XgfdiNKeJpJH/Ai+uWVMFeuhCZqlXuiU6CSx qqXLFIHLJTNAUQ1HFz59p8g/KVlXuS2Vxy4DGvmYKSCgd6acmcQNjrnu+Lbxtc1PUVACFF2LSUBj U4bYBH79+75CdpOzqEa64/7NZimg03isOhiKHAoIbHZikslDBtDsh/ZTsFaTyQQ+JSM2BCv1Pv0v eQTr3+lNftBB2L/ABI+QFy/gacY7m+auMb4qS0c9dn0zKzU15c8ohVanqozEwT5C76+K52zTwplr ZKNYOsVV68H7wvdQjjIPiVNw6tB10sf1bMHVcbthhCjoYdilmuNTkdSPEAWp5CV1qOrQq8NUsc3i 3YvUhz+6gBcKt6C21lSU1Ptko6amfGbO1Q5wGhu5Z9tcz93PmOtvoSBNjVD9YP2bftDMid8VS1JT ATTkknJ2fsa8PKlPbepefTJEsoWrisL0IkNT4ffgDr4C8AYoEuthMz1+NxeVnBaLDVZCOC1SFz5c DioSLAwjEmlrUO4T+wiDtt827zUFU0rtWWC88vFmPOLNjIIpPrv0yC0NtwsPk3UHa1rXcoWzIQEA Cd8EFAQcNHeieHoeYsVIFXCKENO5j5MnZAHvMYXaDcRNzsN2nw44+rM6C755jlSCDAUk9nPWfHfN UdTrZ3+uzei9tyW9TQjTm+kefjiwSIpFJNmnqkAELDLnbsshVoChDDsVaWWregej00e4+kOCC0qf xLXHJRaWsfhk4BRcuycFbOLFRbgoHYiMqBPZMlyfq4cSMHAdRgdIUjr8BDQaBqaUrGnCQql5aDZZ tF2LXssWlL9DJlmSWZ+AVezidtXDKh/iyfECw2jFRUkpdSohm36fqtdeY7py8G7s4M018ODEx8UR dUzFhxRwQM5ZptFhj2jBcrnhAziejGnWKIE5N/OzfvhNAbwtg4ttneo917kXk7I0BXHxtz4TzXeY wL1pwRfjE/ceXOXWmJb2t/miu/Ld1eGvMLst2YM+wc3PPAYqKk/xCd1jXHtPcea94VINepZgBgI+ JGT0Ih08HQx6r1uxbkwRXJ8LsghenQrM+FivC3g+2Vg8Djllnp4VBs14F+vYDpLXFFaVfclyArN1 iHF6itzt4ti7wlFvCd+jhAdCQCfXHfoUeAWnLRpEJdapj8kywjQJcDlccl1GStvDWj7GG1THTMxf pPEBXL9/l2LI+81sh9p1n3VTMrGu5r9LSKmNRcQhM28eTgUI4rO6TAIzNZvz2b4anX0olVo8W8qc WgtCQinJIl30Ln+J1ewGPcrrK29drHLOorhcU6FNl+tqPH3U5VRknpNV2g+RxYRSPArWbbUG3rxf MpBQbfjZLMcgopgWqZL2KXVQLZDeZX7VvVImr5kFJRu5mK8o2XSCs2GGoU95xwTgNJhgmQg6oMpR PpU5oMKdGaaJg9djCjHIZFJoeoDylQFHPRejLgnVdDTI1eQGZb4W2qMWXLdNrto2b1MWND8fgmQ3 gW1T5rCNs33cAtA+AjU0J6EoiF7A0pzox7Zt1KMJJEpNSckdfIzOPsObH/9PdD3BfycJJWgW9/Q6 DnwPiHMHz1+v8OC0i14kMipy/mGpXYtTAqgEcUxAR4oEh/J3oxd6GPWl24VLoCGqqe6zGds3Xgnh 2pyJmhLbV5BzZAq/mGEUuhz7QuJkWcqYCglW/KzmReA7VE2qQBhmmDg+YuqIFRLC7EfjmS4KTGoX EvcAACAASURBVOYi5U6ZOVh4GY5IhhEdN0qA32Xf2r63aRd3aR1/iqbkb8Z3+z+m82+bgxXOaFqp NnXnwbKI2bcqGqwfFCVgi296I5mC3eepAm86B5IJyniMJM1QpOR8VqLIS0SRi6OBj0FHjH2VlXj9 do3rcYyYsGjPZW/gNAMW84wzvycJ1VQHV3OiRMssx7Cwu7lGG4egwv9SnOeIxYz/itgS06CoWEFF Neos7uOFwOajHtlqBADQP1bzElWQZQdEJkJS9krLiDSIdIIc3SPJUigWRSajIAXYfEUVc0tc3+bo n/exnL5HkdyKdLDBEEH/HAHV5Tiw2ahEvW/6mal3ut2qfrgyaBeM1cbJmkXe0xerHTA2O7cvwv4C qk1zIwmeYi8lW8CHhgGwQJqskaYLFDEBxAxZOkeW3KJcvQPW17gcZvCcgFmNKAxJ3haCKGPQEv3A wedP+vjxPQEJ1Sp0cTL0MVsW+DBOEfkuHp5H6Ab0PsFKVtqUyjYhDFG6JoZZy8pEJw64kH8ElU3Z T8nnsSlbjVgj0afIgSu6L2XZh/G8QCfycDT0ahVtmXGqzixNuF9SXjAFJKRFGy7XTVhga38xVbCI 5K9OUKJzRPN2cTUTYx8dJ8D0n7C+ncMhl/fuJbKTL4HjLxBEg637qa+B7RyY56G+V1HAWoi2a/RM w6AuS9hGpMs3ajyqX5XLwNkVUbgb0syJ3VlLU72z5pw3bSxCX09UgcJyFS9c5inyUiSZpueXk1dI Zj+iXLxEkF+jQ8UpiVXqFHCo9gVl6lMKLg580pXWIm7Uc0o8e9zF67cxJnPhgDhb0HMePn00gIuE c8eSIO6x1V7kfxdAtomidql0aex5o/ptTdrlymgbT/93cX0rWL9BzyVxp/qtkKpoAg6ywdBn6p+y 34u4G0MD1TiMZGwUWr0MJaZr4O11gs8+HaIXvKkyL9MzcTHFfDzGLM1x9vRvD8LjbWyxTUBuqoDb 5bZtVOljFE5bKYh50Hfp8emaslNQhguhhDosqN46ZJlupswSrJfXWC5ukMZrFPkaRTxFnsw4bJfY k172CmfhDEFfVttlzK1qIgoLvUL0QhNUB1MLrRnpuCgRc46nDzqYLnO8uU1wPUlw3PdlAU0gK0iw FWpgiees67V9XkrvLg6xrnnRZbrGOrGLvYvr6QoX5xGGXaGiFbYMKci7lBGyZnOV0oT+qs8+JcYA JQzXZAmZpZ1Wbh4XeHcFPL0cYhCkrOiguhwc2owCHcqLvP6Am9Vv4Tz91UbxnLamxsBIQWa2Udo+ s4iTOj96+wjzmoYI1LryVUMhUL2p8ey96e/oRSJqrKlmM8mrqolo04oZPYqNy3KM3/4O6e1/Qxfv cBySosiB42dUYZHDP2kXXRmxpu95FWNCcglVz1WGI7ZCa0mV1WKQ2jej05tiSEniyg7e3yR4O17j iycDhJ6oPEE2GoEQhJC7b66rxjZphkdOzr2xBKrQudxAOPgwLdAdOOhHubTp1H5WnusycjIzDuox 3yowKVSJOfiPYMHoNfHaw5SyqwZLHI9qlbdXis+qlryoKSWpOXciY2BaTjGzkqmg9jQv3cdNN6jW 67IfB9KGrBWQ2bRY+nP7vMMCIIKk6aTdBtHmi+k+ylwRr1ecrYKyugthh54TC7Raztlv6ujoGJH8 vWywFaSmlLUKiwKT8WssXv8/GOI5joM5PGmgE+yMoAi0ecj0wRiLJ0s71DJLzX9vzINCQ0kTlJXw gwDDPvDsIsJiFaCg0gcuCcWhUZ5utxq7dlzhiuES4yvgsPPW0tNQm0uJ1x/W+PTBEJ2eiBHXgYdc S0hjx8ZObgJDi70TToLkIEgKCd8nFbgoP0HASaue5T4m8wzLZYzPPukLiclhXraqBSJGIQGlrMuG inFqpQe0dWEqSdo910GaLBFGIr6H/OZo/0mpoOxNItpQxbo3EegGC68QTlWvRia5rlS8tYBfs3A1 YNR9S46jAU3O/VGQWiVGBT4DTKcT4eNfCa5qguJQqaAY8TPj48pZjtkWSg20vMX03TeI0m9x4lLQ 01qoW/kZUROC/5Noou3Aa6NsjLdNs6YWTrlUkMX84UXArE1E1mmyLGvUQq8iZcpj9dpo/RvvMtfR huGqvgAcDVwspnOsV+RLJcJYqT7j5WkPcIltoeg/RaEV2yuMl9RofwhRlRQaXEZS7iD208XNJMEi yfH4YYjQFeHTYOyolq+WBchm5ORzvH/+W177sHOKo/PHVZmL5poKQqgXN2X2zph/OxVuk0HkqrTI KIe2es92COn6zbZmP1j1weuwi4Vy6RB9EWmPY7IhJJwsrBGhx3EHDpL1HIvbH5BM/oCwHOPIXcJ3 ZgiYaoiaeHpxSDNubtt4bcKgrl/X5axG8c3SEcVIXeHooZhH3VCpswfqOb3fXfKWbjtSvLkZwSgH jcdnAWuSqEwD/TefU1wF439kdPDJii/tN7qqsvIr8sm4SW4zZOch1rRA6Xq4ui2wikucjlwMCLdJ hOUYR0/NJAocnA0WKNL/zPty9eECw+P/HghONw+rktWo/BolbFC5fTXOZJsNRL+kzpmpSDI5nEOt 8eZzWynIXTUBSkVGscfCwNZkH2jTKaKMftdJJ23YcvIWye038Nbfo5+9R+Am6FBheMq3xPeJkr7m 4O/a9ANJTXndKp691vQoqqVROA3T65kmbRq9fdZS30AluLY91+8om4vInJLEBZYUZ5GlnOc2zVbw yC3GpwyVdSSk0pipzywDEHVxHUzm5NOVoxdRFkXBculYu1ScCrO04jei5l2fjJI3KJ0MV+QHWqm+ jfkpTzfPY4qnlBpCVS44C33N7QhFv7bNNmKnxB9ztu/IYm3yawrn6NWkuJaH5GUpF1Lg9UT9amax CiwmV8goI+LiB4TJS3SdKfyI+N2K263fYUSHbWs2dkd91h3lFJCo/Fzm/fVMpSWj0p3XG2DF9lr/ 5vdttqENFx3+QVTXEqyl9pzUpAnDi/hNaIoUy6fkD+E2IhwqRdodARwe8sLBeJqyK8rRgNZAwUJT 0UKtiVwr/Z2sPiVzFbc2kntCZJkOeLWNw1bKoH5ZrdVr9rgbVW6j3rqMYn9fa27efVs9RF0KYEzB Vl1y+674IUFaWaOSYjW9Rrq+xuTDHxFlL3ESzdALZWXSSv2qe3xuHjTbuA/RfOiqaZ0F27ToKmF/ U1evqyl3rtaOwkFtfdSW9EoR3DCSiuLaNBdKSeShzIVCRMxPJJQWsokcQ6UC9zGexozVex0fYUhy C5XAFkiNtGKlHDPtJY9byYEKRDg2Xamp22KBBJojoCTtn4pG1csemCxwUx5oR4x2INkPidrYqb1T j5oD3/KaStsiXBmqTmR5aDEAcqfIkhWyZI4ivsL69jusbr/DYjbG0ZmLXkAeTCr1z2GuKYe5sdTz UsK1qXJUf80Dq8sK+2Qgt71zm3LANid+pvBAiDdekapaUWZBX1NyK5ExEiwL0er5fhXzXckiEtCr edKl3MG76zXOT7sYkuChsS7skSzn67ravFuSV2xKK/b5izWtAUmXP9qbXYZoZ8Xs2qjGXVvkEvO3 jdSj5vftQo0YlO7ugYKwEmlJRJYS+l8WL7Gaf0A2fw4/fo6LQY7VMMNykaEAJQaQ7MKemRUP4fHN eZlCtH5wFftlCnltvGzT0NS+cTYKZQKM7TmF9WcrB+ObBZn65TOUbohS8gD9iLxyKfECyQTiECpj XMVOVipvabMoC6xT6t1l3zJhkZe+W2yTEZqvnPuQY7SuhWLx6PNuKiqe3WRzt7GetkNuQ2jCVaTJ jrVqE405bDtLd1bzVoPjRSqQp0tc//hb5PNXKNdXKLMxl+eixQ59kTOKBEEnFOwY88pc3k4OnoVA UaP7p25qMfQoRSWP0G+EfZUvk25wU88qYDKBw3yH7fDr9zazCW50wKub5ClevE5xeXqCsyOHYzsq touMf1nK7i/k+kK2CY74rdxMRIJtGBKdVzh4ebPgOou9iAyF0u9GHnSXIjlzlryrlKFkY1Fz2ZCT WB7af+1tczb3Yp9+9LZduDcBbjeVsQKIjQWov28KNYqCJOsZ3n79H/Go9xwh5aGiDBmaIU2wTsrK LrhmKqGRE8uby4WXwui+LNO+KrxNvrb9GcVGKfakLSnarj5NCmQeKhu2rGv3NcN0qaYvJaDIyzUc SsND9g0hfXP8fumGcAqfXWRIzqO6JR6VZOY0qUoHKOugCwEEhevi9jbGlz+jGuhUioLkjFykW5LG VJEAw9UoUcbAJwBFUALhTk/pVqM614Mm6pL3Ql3ltjYkmokAdeVJGwBtUiiVI6Fee50ybZ6PpmZu G1urX/soQ6E4QLQVOZyCbBZk0BPqO5vberWKjoMwpEx6S6Yk7O5QkeqfvrWxQcoFRmUBNOPg9cXb Vql2F2tmu6YDirjAkq28h5wrm3aNSnCnAyXLNIia5kJorlg4XnaKNBTBulkW4NsXCc5OQi5MqqtY RFQkafVqyulJdq3yn+IEecwocSIMqo+ek5fE7JYFf0ru4Pod/iysYcVHy4zVnHesn3m476LWNce5 kdWkfXD238RGUHVYWjBFbpWDd2uHzFpRRg2RLkAK55rv0cc2m9zR9l01EkKrCPcd/jq7NlqXaWy/ tckgNQaVq0JJvQOydfCv9vFw6h/lcqEl0VARJFRRllOIOvhw6yDsebg89RAGNc6v2UiBqHQlRiaF fn3OwouZdFgFzge3yG7+d0yvesg7n6B/8QsMjh5Z52x+rqewXZZrIp32tbdR50O0m+Y5uTMFUYCh /gnrq/pRVXeyUJFKgCIgUS7j6lfBgt03KTFZHvXZvIcP0x5C967WzibY721/hxprhrxQW9VcVzXu ppt8cw4UOXgzSzGe5uj2Ilye+uiFhhq7okZS3asl3rbOSfq0lYWHfkjju0ZaTjDL+1J+odbMaFk9 qvV56PrW+2e7th2pHdLUfP19B6nzbfUA9LQqKjuIUu7aBqm/p4SnGWtUtNwhwLFtIfR5KfZgGzWw YXX9HTZMv2tM27RXtvub+yAwOf3ejzyMJ1Sjo2SPYxFJK6htXbZa9qfCZ5XGyHExXmW4nqQ4GYYY DChMWDipa6Novldj0TKZIlS80cD6UrYhzoHCll23wEpzcxHwZ56V9txpm2tgW191X/25XZ7Q2dLN 9+zDJRxIQVRHmwulC+UsbO9wCaB2fuyh15VAJfiDw4aza7Sa7aJN365rpbYZ/NoUGNsUA/v01QaM TJnZMdDBUT/kwK3J0oE/EGG2ujAs3yo7kaHA7KXrYLEusFiV6HUDPLqI2G+LWK46T68NPMTh8jwq rkrOjYphVpF4iinepBIVW2der3ywmlla9Hnv1w5Dom2WeDGW3Tm+7jGfi45f9pvA5bmocCu4s49n q9oE6l3y1X4UdPM+GzvW4NNbqFLbZ7NfAQQ5C9PnRw6upwWHxQ5JeHbbNJZUXFOIxnGSYzovOH7m 7JiE5ozlPk7v05xd493s+UZKiELmGZCVg1uVEg3tlQlu9QFlPYyhQVKsettatLftHIroS4kB+7PL JrDuzWKZh6GpC9eWhSlJe7kAfS6uvsDKIfAAO8iug6/argzrtYBqowoq9Wod7NX2rl3vsPXfxtJV /l/I4ZYBTkeUKLvEZEkqWGK7BDOl36+C9ukpKgk3mZK07eJ44LINilWjTDpMAbnxrZIDS46Bodr1 QaXuVb5rreyJdth1gVoARw1GpixxyBncVNPanrXLTu1mDHPcd6Ag6mUmxhTFLaVj4kHetlJzdU+e um0LIQpGbn+ulQ+tNFKU1STljImk2TmEjbpbU6pc8jSgdEUOHp+7+O5ljrFXsgaKKi5IPx/+S6IC ZSbJnBLXN2SfcHAyctDvCEfLKg+v4bFQ8/Ob61cSHy6zV5I8ovy82tbMPuXdGr9DNE7ms6rdF4eu j4Xrg2zT7qjfbNkCGwCiL4KeJXz7UOReHTazvUkma8qEwYuCnfSxCzwpRy2d4hSrx3OqHPOE/aAo 6WB8HBu4TbAXdTfqugIi0zoqwyqtMTFJTy9DvLnOcO0Al8ekZRFx6WXmYrJw8N2LG5DTycPTHqcZ 7UU1PAjg2O02RP+Ee3pRAYfuvqKC3vTQ6bpbkQqpSnO0Y3/Fe529BPjdXENdXVmahaz3H2Ij2YuC KBZFj38QGEv6LnEStj992wYovEAVIFO6UHm90rPJ5NOVbUF4rSpsXAOu8Ij1PUrQVrNitnYIFrSS dt5gARgqqyLx/8IpR1SG7Qc5Hp04eHud4fuFi8cXAacQXaUlfv/iBn/9Z0NEoSOs6dzJ7kO3a7yl 3HOKm6GwXaIiuqdB9byEP7mcjZh6/b42uYtV/h9ZUqNt/G3v3dWqClNthhLbdaYYygVa4tjdYa8/ DStiUsC2dzRYP1nOuU64IHllpjYi/rpBENlto75vHyPh7us23l3V7aCD4ouE1cReqSq9lJfKoeAm 4NG5j7fTEN++83E6ipBFlzg9fo4oICfGlKMgeS7VK7dh8Rbh26mphOIilFVdV41XSJNZNWHVF5Hu zXWv39NcByWo2wFDylU7ZAf7+MXz7XJec65mv1vVvEpwVQ+qRdEFL30SjY53Dr19oIe0jQ1qeYeQ DZs2BiEv1cFZ4mozf2OFyqtL96uG1hu7TZXCs2Cd5Lia5Lie5+wd7SPAcOTjuOdh0KH4Dgepd4be gy9xPHyKgFz2gy7Ssy9xc/1rnHZuEBCjVSWMq1ZDzkmxPocIxmUFJMR2VYFmlHyhYkYly1Tpim09 1j+aW2YDEMX63U0+tVGOw/ppDbltUg+dYmxiUeY2ZWKAQwawjXrt+6z+twkktUZeGN0ka6QCdvje Zq1wzqPFWLcGmBoobIihnfLuNx+tkrmSAWhTXBfDHgnH5KMWAWWAOMvxfuri7dhFEA3Rf/BzHD34 K4TdI+FqQka9zjHWYYjxh3/E0HmF0E+knCWokpAPpFOgkg+q5ClifhU+kDy8I6tRmRSFWC0uXES1 z/ktgmJUQKJkHmsT0Y71mqpcVcbqaFqvfTkNJdMo6mFeb3/OLqv4u9WeKiuGmkjzYNaRYRLDtDoY 7G7ti6AfzraenXarzMbZtqfpIZXqrn7N8do+H97UQRArRzmBj+jfQARMCYNfjmVaIE6BdeHCiY4R 9I9FXUYaOXkLeBH6p3/OiayX0yGy5Ht0nAnHeyjLunLoUWugFBRqpiJfmAh2c6rsMxw4LuqkSFmB zgflP3Z9D6WbYZ37WKRdJE5QZ2K0qvs3NaG7KJluMb8bO363vWEtlvqiY2DduCVUnDJuQTrEqXuq e5Wg6+in0Y5xD5Uj6oOuhXtqBSwb91SUuI59UM/epVX4rTXjxn2xXG0shDg85Ng57LmgAlGlk2O6 XiCJX2E9e4De8CE/ykUysxydbgejiz/HIhhg9aGEk34Lz1s1eiWMT1lR6rfW/lz1N30PVfJrpdEU lGRNhYLY9aXEIvYxSUfs2hJxNS+lWt4y6y1G0vr79vt3t8P3SD+LGxGFmwdBLpNZo08rRVYP/u4H pl2wrdRPNabTXB+qEajf9/Sa32+0m6XCdMTRBiT6Pfq1/ZocmUzUxh8Vq8dsYo5htMZk+S3WV334 4ZGIF6GM9lmKCCFcJ0D/5AnnF4unN+jhdWNOxBkluaBMIq6CiuyUHKMjQMJ0GC2rT5XmilIHSc2f m3ugnBCUNX6Z3iJdT1GWj7QMKc01qA+gVhHMwppukyv1++xNFwWcvZ8zEXWDguhCeVW00qAiCjia HRm+WLjHpoRsQfMbk6/GXnPQ2pV6Xlarq3IP195jNp33PoRaKItzq7W5MUb9bz1+UdhGWLOFjkFg fUcyLsNwjmn2BrPJFc4uP+GsIaIKlrByM/8cngLeGdbZlZifQ4FNPmK4iBEhK6jMXQmkCwyDOY46 sajCxZi/Pkw2FoeoEGWkT4sYWRohdFN45Ttk6yny6RHiowv43RP4ftRYz/acA/uxzrXGq339P4ay 62e6IYOoQ6DSP7KNg63jEliksaitHrbIi1QnU243/8tD51JctVSq6ANshKYbrFQl/elaDvWb3ZJa YQ1lhKqEOFHtlebKwU+mzCLvtbFWbe4r6gDRepEQqxJCNHJtqUOnyXSCTTV5cWVoE2hdGBLrKXhu CTebIV99APAUoReiJPWulBs4d9XgGNPFE0wXSwp2gRudAf4FOsdnOD+7qNxmrt/8Dvn414DzWhbp kermsh5bg6WWHrs0pul6ifGswCLLsFon6EVLjPBfMXEm6F78WwxOPmGKVnLaIaUK1hGd7W+zqGit 5lVexbwDVra8SeW3A4ouyOsKAfVdGGeNjiu+W2JBRTHcHU534l0i3IyENjHHOlfqRmukdBGTF30o QXLTvXqji0PkAC0vqxhvIdLZVF68BEIUqipKmdX0w962vVe3GZjqcq2HBo+/1Yrclsy5SLl6L02t kBkoOWOiGATnwT395N/A+eRXXDiIjb0kf1TaKTGOTQeh5sxL2Z/Q/Cl2u4Dv+QhdlyNJL48GOPl0 AA5xL6n67neYvJ3iev13OH/6tyjI0Jgr16IaFraxPaZZQT/8ttZUD9+lMlWtCFLGYwYQfROZepBL AXXOmHX3wKjjvMo+SH5KpDYR8c1ybasXi/dpECtLNpvD5KrjbLjbFODvZmnVSJX8yxnSK8P43chy nW9QqkO1sZmUw5yjvPFOWn46hG6xhJuOUZLrhxeiKESSaAYEyRLTdxoS6+eUd0EjPqZmoyUvV3kT wAQbSaZZ/ixypEXCsewXpxEoHTNRNeWnHzo5TtxrrOa/xvvnGc5/9nfIyTNYsu1KsVOfBV1ek4Pd ABzlbr+9JIcp/22sXUVhbI6aTZmJvXk31G5aQZjdUEgLEsANLlA4E7aHiOmK2uH6q2tDlZyI+lFP E86ApvyniNwTqNgXrymJ7GgU4ktsY2VV1/Nwid+FmU55FtfZ1W2tYu3UoVN2Y9LwUKEFWXZARy6m Aaz+bmr9dMWE9oBxYPtBgrJ8i9u3f8DF059XLJuiYAoJOXLuik6k27Aryx+binpHTxrH1IRcbzwE fiTkotIVce9cz1CsL3kBBOUE8eIt3IKQkWlbN1lju1LjUEPffWoYKwBRi8sJmRVkipFuDNQ0yLnh EMPH/x5Xqw9w3FT4NFXR5lIglnIKYx/+zClNqt8oV6sABn5AjIcTWxO7JvJs0V9mK0oSM1N0IwcR FbHcltmwRpJUwlxWSBcsI2t0CpGCyKPEzpxAgkUv5OTebsgFSqOnC4mEocn9XM86SPBFhX3IyRGO 0BbxMKrzL/lq7WAoNqZxABqKJDPdjijH4JY58iyWPo42X+pabtP3T2dBeE5MQIg9o3+i+i20MTV1 WjIPgUflsUXqIcEFyASA0mmQ0p16lA0lpfEpxYPWz468YqYG0SwJrj+nP9PWNrWK+vc6qbZ+TwNA yCBI/xoD117QNhnPizA8/wLrNQXqa9ovfVm52AzVsJCVkZTmi6Lb+DaVcl+cPpEnViY55jSmMpUQ AQwVbylSZFmMJI9RyhxOjaaz9/TGMkWax4Lt8KgmoKgatUrWWK9j9Pt9RFR4g3PaktzlNdXG8n+i 2I1ip2hIYtyKsjF/XhSYzSas8KBYiiCIZBodcbCVMa5mrmqBvRp8ZXOqNT9UIk5RWRE37sAJztEb PRRyBRltLckgKiome1fyUbV/wRBr/xGuMwpgoybLYDsCNASb3QQRNfesSHB7e40o8BB1e1xXRa4E 72HGnMBAfFdFeLTzpPtgqWubLFINHG3NJqzvtpuoeiQ6G9yk4pUMolxJlMzR2qWqoaF79pIAFkX8 rwIKHcq1SrW1/UThzaYuXK2gstCbC1VTuwJpHCOOY5EkoPLE1VdNUcASHpEFyvzImI2SqokcU85y CSxXKHs9eMN+lcu2lskau8AA5Hr1dSqcKRwf65eSwS4rr4WrCNVQDzqcErTqQ1JYQY1qzY3SlNc2 ArXGZLnWhFX5HjqzZAPpDk6lWwe5gWwelgaQaIKvMvp1hqQO/isU6VK421QGPqfGMhqA8ONEZami VZ4iXb/E9eQGw+gUx70zhEEgEgJSlkfXwzA40jekOke21qYEuo9r9qbLHeoc1mNjCiI6VOrH7d6O zUFImUwCidhh9RI97lgTyvibnttWes8qY5gKeOMbtXBMTbPA5Yj/v86udLmJGAYrDWk22fSAGa5f vP8r8RAUGnY7LSVhdHy25CMJ9UxpSbzr2/r0WZauiJabFa2HMTUtKcr2t18wEiaZA3AKjLuiK770 RAu6/fNCL88sWTh+30qcNiskQwcDx1tn8gISv1FWRdip4ehS4qEcaHW9FZjFMdVZYiV9B64u7fXJ mthtKKAYxZkbDATZBkqkgLcxQ89goA0OnT3AhNKn5Q2bkdYbi1ibACHe6X7bOGu7jxKT5Pn5iT4c b+nH9J3+LO5ovftGN7d3yaiR2MNjCn7Uh1fnFob//H91jNMwLG+6+Uc/52zhoBDQyL/Ui+ayANwJ 0A0Pz+uEL/aw7M7HGBLoJnGA/dXd9E/6Fl/AFjdNEcPfQTQDk8sZginfzOioB2iVJAuODcK4eSW7 PrqHfQtrVbPXEOH+ua2mTMCdbWqGqy3rJcMwGE63C1Dgu1LMEdtPElFgG4W8X2EaZ0+XlqTOjvjO zbSzJ/6emUMbj0ZKC4+9MDobOvS7yW63yXDKWiH+ylBtIYuEN5vNZkuvL8/0wkFWDzeKMhhSS2bR +oR0iQnwugEHnfKeHT20nF3U5MWpFJ8rU30I+c53XIZExZFVda8XL9OG+MM6/pHgOaEyRtni5l6a MN44EPg6qHGR7Un6Zh40rxyX9U0Syii9NOmDnZlenBLvg7Zr8CEf6wwCw6DDsMRa+gCgbkE6BAKm TBaG9RMkhO8/FYZeP/B54KDaKdjyYMP4z4+od1ViqXTziaxg2VBeVMS1346+0yvqUd/5wRxt5AAA A1BJREFU93CgYdjSx09faP/40/RGPjBGyAWt1l8Xflqr3YaBVrtKN0EezeePCkp7LVdX91ydina5 3/7dToLYxEMlOGs6Na/tkHoJkKvNUEQxCSWpj0e7xZz1beU7Qb6D71dnJuNjDKqzZ721N0nkKXYA zWc6+jwzZb16okx4IMQJeo+Z0WeUys4TOPum9X3M7Fpul4PCJWYpduFyx0XyDrnPw5Rj0cdxLLlu 9+/fK1FxPNLDwwPt979pM+5ohM4lBIl6WrmUlO/Nr5r6Ldtw+rlL9RKfT24U5qijdjEKkyk9oAOq A1e/yFeyhyv9Z3Hlt5W2Ho1XNqCcEPgsT4JMX4viXbwbHjrQDww/VhLopc2uoAxPUuC93HfTNAkj xtdTwzlI6AddHOoDV3WYVh8hlEEuS1rnYEX/HkU5meKiiN/9z5HBsVWg+ABe0OcvX2maftM8T7Qe 1sJYtuaAe1vz8x4DFcejhmuX1zkaMSJPa67JAvGrUZRGR/FewmrFBvYalpkTTy37Z+PieQuujPVC 8BcxmXGGlklKNjh1xPKGspsWDtOsvQlimInLmuc5eT7BO337UC/YCbUWB5wj1N5T/C58Gnv3JEdr IpSbi9bldJ9zgm7H6f7+jsZxR5vtlp6eZnqaZ2Gw2JP8ykW/vYx+pTfqFBjTy58/N8+CLZaYiJgi 7dksiPXebhClhjE8i55SBfyZ/x+xsPlkqrytoBPyDqiTq1xQaqSW2CEOAMMnhEy5mvtLhZJmixWY O1u8V2wSzuct7OEduB9OBeKExtmN2jctaRjWQj1zwNJU/9Q/gHd+UPKJdzl5y4XlJ0NWT/qwr+xv r/SibIXE0SkHylhUu30x/gafZNGz1JUAouxD60D7Xw90eH2l7W5H16vrfC3X6VklRPSKeS/lPiql gOlRTQFXl11K0jJ/pYNUqnnShHLFSsiB322sHfWRspG9hIr7iRg7Jn3SkFZZAZQyDFoJcSD3p+2u GxR0i3LrD9cgbX784njva7q5ubUgmDH8QCQ0dHCZImZoxeGuIXnKdiWuyMUKb208tWSOMM8rrG9J ZRm9MVqcKCBKHvgfW9J2HGme9vT4+JOWK2a4RiU4StIl1uisVIz1Pu+tpfVsqw29vNy+f5E5PngZ n77NAAAAAElFTkSuQmCCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= State GIS Manager Bureau of Land Management - New Mexico State Office GIS Team Lead 505-954-2000 301 Dinosaur Trail Santa Fe NM 87508 US blm_nm_comments@blm.gov Name: State GIS Manager Organization: Bureau of Land Management - New Mexico State Office Position: Geosciences Team Lead Role: Unknown These data are provided by Bureau of Land Management (BLM) 'as is' and might contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the sources from which they were derived, and both scale and accuracy may vary across the data set. These data might not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office from which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This data may be updated by the BLM without notification. The BLM assumes no responsibility for errors or omissions. No warranty is made by the BLM as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Although these data have been processed successfully on computers of BLM, no warranty, expressed or implied, is made by BLM regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the BLM have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by BLM. None, these data are considered public domain.