diff --git a/chordsprod/staging.chordshealth.org/values/etl.yaml b/chordsprod/staging.chordshealth.org/values/etl.yaml
index c08b0b66..142ff0b4 100644
--- a/chordsprod/staging.chordshealth.org/values/etl.yaml
+++ b/chordsprod/staging.chordshealth.org/values/etl.yaml
@@ -7,13 +7,10 @@ etl:
   tube:
     image:
       repository: 707767160287.dkr.ecr.us-east-1.amazonaws.com/gen3/tube
-      #tag: 2025.08
-      # patch to flatten nested array
-      tag: "2025.08"
+      tag: '2025.08'
   esEndpoint: elasticsearch
   esGarbageCollect:
     enabled: true
-
   etlMapping:
     mappings:
       - name: chordstaging_geospatial_data_resource
@@ -30,16 +27,17 @@ etl:
           - name: measures_subcategory_minor
           - name: measures
           - name: time_extent_start_year
-            src:  time_extent_start_yyyy
+            src: time_extent_start_yyyy
           - name: time_extent_end_year
-            src:  time_extent_end_yyyy
+            src: time_extent_end_yyyy
           - name: temporal_resolution
           - name: spatial_resolution
           - name: spatial_coverage
           - name: spatial_bounding_box
           - name: exposure_media
         parent_props:
-          - path: resources[resource_short_name:short_name, resource_url, resource_description:description, domain, keywords, access_type].projects[project_sponsor, project_sponsor_type]
+          - path: resources[resource_short_name:short_name, resource_url, resource_description:description,
+              domain, keywords, access_type].projects[project_sponsor, project_sponsor_type]
       - name: chordstaging_population_data_resource
         doc_type: population_data_resource
         type: aggregator
@@ -54,9 +52,9 @@ etl:
           - name: measures_subcategory_minor
           - name: measures
           - name: time_extent_start_year
-            src:  time_extent_start_yyyy
+            src: time_extent_start_yyyy
           - name: time_extent_end_year
-            src:  time_extent_end_yyyy
+            src: time_extent_end_yyyy
           - name: temporal_resolution
           - name: spatial_resolution
           - name: spatial_coverage
@@ -66,7 +64,8 @@ etl:
           - name: model_methods
           - name: population_studied
         parent_props:
-          - path: resources[resource_short_name:short_name, resource_url, resource_description:description, domain, keywords, access_type].projects[project_sponsor, project_sponsor_type]
+          - path: resources[resource_short_name:short_name, resource_url, resource_description:description,
+              domain, keywords, access_type].projects[project_sponsor, project_sponsor_type]
       - name: chordstaging_key_dataset_resource
         doc_type: key_data_resource
         type: aggregator
@@ -80,9 +79,9 @@ etl:
           - name: measures_subcategory_minor
           - name: measures
           - name: time_extent_start_year
-            src:  time_extent_start_yyyy
+            src: time_extent_start_yyyy
           - name: time_extent_end_year
-            src:  time_extent_end_yyyy
+            src: time_extent_end_yyyy
           - name: time_available_comment
           - name: temporal_resolution
           - name: spatial_resolution
@@ -92,4 +91,10 @@ etl:
           - name: data_formats
           - name: data_location_text
         parent_props:
-          - path: resources[resource_short_name:short_name, resource_url, resource_description:description, domain, keywords, access_type].projects[project_sponsor, project_sponsor_type]
+          - path: resources[resource_short_name:short_name, resource_url, resource_description:description,
+              domain, keywords, access_type].projects[project_sponsor, project_sponsor_type]
+  image:
+    tube:
+      tag: '2025.09'
+    spark:
+      tag: '2025.09'
diff --git a/chordsprod/staging.chordshealth.org/values/fence.yaml b/chordsprod/staging.chordshealth.org/values/fence.yaml
index 760e8227..cb86b9ef 100644
--- a/chordsprod/staging.chordshealth.org/values/fence.yaml
+++ b/chordsprod/staging.chordshealth.org/values/fence.yaml
@@ -3,13 +3,10 @@ fence:
   replicaCount: 2
   image:
     repository: 707767160287.dkr.ecr.us-east-1.amazonaws.com/gen3/fence
-    tag: 2025.08
-
+    tag: '2025.09'
   usersync:
-     #-- (bool) Whether to run Fence usersync or not.
     usersync: true
     userYamlS3Path: s3://cdis-gen3-users/staging-chords-health/user.yaml
-
   USER_YAML: |
     authz:
       # policies automatically given to anyone, even if they are not authenticated
@@ -604,21 +601,11 @@ fence:
           - mds_admin
           - data_upload
           - services.sheepdog-admin
-
-
-  # -- (map) External Secrets settings.
   externalSecrets:
-    # -- (string) Will create the Helm "fence-jwt-keys" secret even if Secrets Manager is enabled. This is helpful if you are wanting to use External Secrets for some, but not all secrets.
     createK8sJwtKeysSecret: false
-    # -- (string) Will create the Helm "fence-google-app-creds-secret" and "fence-google-storage-creds-secret" secrets even if Secrets Manager is enabled. This is helpful if you are wanting to use External Secrets for some, but not all secrets.
     createK8sGoogleAppSecrets: true
-    # -- (string) Will override the name of the aws secrets manager secret. Default is "fence-jwt-keys"
-    fenceJwtKeys: "chordstaging-fence-jwt"
-    # -- (string) Will override the name of the aws secrets manager secret. Default is "fence-google-app-creds-secret"
-    fenceGoogleAppCredsSecret:
-    # -- (string) Will override the name of the aws secrets manager secret. Default is "fence-google-storage-creds-secret"
-    fenceGoogleStorageCredsSecret:
-    # -- (string) Will override the name of the aws secrets manager secret. Default is "fence-config"
-    fenceConfig: "chordstaging-fence-config"
-    # -- (string) Will override the name of the aws secrets manager secret. Default is "Values.global.environment-.Chart.Name-creds"
-    dbcreds: "chords_staging-fence-db-creds"
+    fenceJwtKeys: chordstaging-fence-jwt
+    fenceGoogleAppCredsSecret: null
+    fenceGoogleStorageCredsSecret: null
+    fenceConfig: chordstaging-fence-config
+    dbcreds: chords_staging-fence-db-creds
diff --git a/chordsprod/staging.chordshealth.org/values/guppy.yaml b/chordsprod/staging.chordshealth.org/values/guppy.yaml
index 765cad12..e4891f50 100644
--- a/chordsprod/staging.chordshealth.org/values/guppy.yaml
+++ b/chordsprod/staging.chordshealth.org/values/guppy.yaml
@@ -3,9 +3,8 @@ guppy:
   dbRestore: false
   image:
     repository: 707767160287.dkr.ecr.us-east-1.amazonaws.com/gen3/guppy
-    tag: 2025.08
+    tag: '2025.09'
   esEndpoint: elasticsearch:9200
-
   indices:
     - index: chordstaging_geospatial_data_resource
       type: geospatial_data_resource
diff --git a/chordsprod/staging.chordshealth.org/values/portal.yaml b/chordsprod/staging.chordshealth.org/values/portal.yaml
index 0f7b5bc9..bac62a7e 100644
--- a/chordsprod/staging.chordshealth.org/values/portal.yaml
+++ b/chordsprod/staging.chordshealth.org/values/portal.yaml
@@ -3,29 +3,17 @@ portal:
   replicaCount: 2
   image:
     repository: 707767160287.dkr.ecr.us-east-1.amazonaws.com/gen3/data-portal
-    tag: 2025.08
-    #repository: quay.io/cdis/data-portal-prebuilt
-    #tag: caninedc.org-feat-pr_comment
-
-  # -- (map) Resource requests and limits for the containers in the pod
+    tag: '2025.09'
   resources:
-    # -- (map) The amount of resources that the container requests
     requests:
-      # -- (string) The amount of CPU requested
       cpu: 4.0
-      # -- (string) The amount of memory requested
       memory: 6Gi
-    # -- (map) The maximum amount of resources that the container is allowed to use
     limits:
-      # -- (string) The maximum amount of memory the container can use
       memory: 6Gi
-
-  # Extra images to pull in to serve in portal container
   extraImages:
     - url: https://raw.githubusercontent.com/NIEHS/pcor_gen3_artifacts/develop/custom_configs/images/lit.jpeg
     - url: https://raw.githubusercontent.com/NIEHS/pcor_gen3_artifacts/develop/custom_configs/images/chordstk.jpg
-    - url:  https://raw.githubusercontent.com/NIEHS/pcor_gen3_artifacts/develop/custom_configs/images/ospcortf_logo.jpg
-  # GitOps config for portal
+    - url: https://raw.githubusercontent.com/NIEHS/pcor_gen3_artifacts/develop/custom_configs/images/ospcortf_logo.jpg
   gitops:
     css: |
       :root {
@@ -395,911 +383,356 @@ portal:
 
         background-color: var();
       }
-
-    json: |
-      {
-      "graphql": {
-        "boardCounts": [
-          {
-            "graphql": "_geospatial_data_resource_count",
-            "name": "Geospatial Data Resource",
-            "plural": "Geospatial Data Resources"
-          },
-          {
-            "graphql": "_population_data_resource_count",
-            "name": "Population Data Resource",
-            "plural": "Population Data Resources"
-          },
-          {
-            "graphql": "_key_data_resource_count",
-            "name": "Key Dataset",
-            "plural": "Key Datasets"
-          }
-        ],
-        "chartCounts": [
-          {
-            "graphql": "_geospatial_data_resource_count",
-            "name": "Geospatial Data Resource",
-            "plural": "Geospatial Data Resources"
-          },
-          {
-            "graphql": "_population_data_resource_count",
-            "name": "Population Data Resource",
-            "plural": "Population Data Resources"
-          },
-          {
-            "graphql": "_key_data_resource_count",
-            "name": "Key Dataset",
-            "plural": "Key Datasets"
-          }
-        ],
-        "projectDetails": "boardCounts",
-        "chartNodesExcludeFiles": true
-      },
-      "components": {
-        "appName": "CHORDS",
-        "homepageHref": "https://staging.chordshealth.org/",
-        "index": {
-          "introduction": {
-            "heading": "CHORDS - Connecting Health Outcomes Research Data Systems Catalog",
-            "text": "The CHORDS project aims to build and strengthen data infrastructure for patient-centered outcomes research on environment and health. We will achieve this goal by providing accessible, timely, harmonized, interoperable, and linkable data on environmental factors, exposures, and health outcomes. The project also provides analytical and educational resources that will allow not only researchers, but also health practitioners, public health officials, and communities to assess the health effects associated with environment-related events, create and evaluate evidence-based interventions to protect communities, and anticipate and respond to potential adverse health outcomes resulting from these events.​",
-            "link": "/submission"
-          },
-          "buttons": [
-
-          ]
-        },
-        "navigation": {
-          "items": [
-            {
-              "icon": "query",
-              "link": "/discovery",
-              "name": "CHORDS Catalog",
-              "tooltip": "Free-text search and tags to rapidly find relevant resources."
-            },
-            {
-              "name": "Data Explorer",
-              "link": "/explorer",
-              "icon": "exploration",
-              "tooltip": "Fine grained search and discovery for specific resource types."
-            },
-            {
-              "icon": "profile",
-              "link": "/identity",
-              "color": "#a2a2a2",
-              "name": "Profile"
-            }
-          ]
-        },
-        "topBar": {
-          "items": [
-            {
-              "icon": "dictionary",
-              "link": "/DD",
-              "color": "#a2a2a2",
-              "name": "Dictionary",
-              "tooltip": "The CHORDS Catalog employs a data model to power queries and data submissions. Study the dictionary to send GraphQL queries or format your data submissions."
-            },
-            {
-              "name": "Catalog Query",
-              "link": "/query",
-              "icon": "query",
-              "tooltip": "Query CHORDS Resources with GraphQL."
-            },
-            {
-              "link": "https://gen3.org/resources/user/",
-              "name": "Documentation"
-            },
-            {
-              "link": "https://www.niehs.nih.gov/research/programs/chords",
-              "name": "About"
-            }
-          ]
-      },
-        "useProfileDropdown": false,
-        "login": {
-          "title": "CHORDS - Connecting Health Outcomes Research Data Systems",
-          "subTitle": "Explore, Analyze, and Share Environmental and Health Resources",
-          "text": "",
-          "contact": "If you have any questions about access or the registration process, please contact ",
-          "email": "mike.conway@nih.gov"
-        },
-        "systemUse" : {
-          "systemUseTitle" : "CHORDS Catalog Policy",
-          "systemUseText" : ["You are accessing a U.S. Government System. System usage may be monitored, recorded, and subject to audit. Use of the system indicates consent to monitoring and recording.\n\nUnauthorized use of the system is prohibited and subject to criminal and civil penalties.\n\nThis system includes links to external resources, and may be used by the public and by researchers as an aid to locate data relevant to environment and public health. NIEHS is not responsible for information that is hosted on these external data resources."],
-          "expireUseMsgDays" : 0
-        },
-        "footerLogos": [
-          {
-            "src": "/src/img/createdby.png",
-            "href": "https://ctds.uchicago.edu/",
-            "alt": "Center for Translational Data Science at the University of Chicago"
-          },
-          {
-            "src": "custom/images/ospcortf_logo.jpg",
-            "href": "https://aspe.hhs.gov/enhancing-patient-centered-outcomes-research-pcor-creating-national-small-area-social-determinants",
-            "alt": "Patient-Centered Outcomes Research Trust Fund"
-          }
-        ]
-      },
-      "featureFlags": {
-        "explorer": true,
-        "analysis": false,
-        "explorerPublic": true,
-        "discovery": true
-      },
-      "requiredCerts": [],
-      "discoveryConfig": {
-        "requireLogin": false,
-        "public": true,
-        "features": {
-          "pageTitle": {
-            "enabled": true,
-            "text": "CHORDS Data Resources"
-          },
-          "search": {
-            "searchBar": {
-              "enabled": true,
-              "inputSubtitle": "CHORDS Resource Search",
-              "placeholder": "Try searches such as 'Air quality', 'General exposure'",
-              "searchableTextFields": [
-                "project_short_name",
-                "project_name",
-                "project_sponsor",
-                "name",
-                "description",
-                "domain",
-                "keywords",
-                "project_description",
-                "project_sponsor",
-                "measures_parent_category",
-                "measures_subcategory_major",
-                "measures_subcategory_minor"
-              ]
-            },
-            "tagSearchDropdown": {
-              "enabled": true,
-              "collapseOnDefault": true,
-              "collapsibleButtonText": "Show keyword search"
-            }
-          },
-          "advSearchFilters": {
-            "enabled": true,
-            "field": "advSearchFilters",
-            "displayName": "Show Search Filters",
-            "filters": [
-              {
-                "key": "Project Sponsor"
-              },
-              {
-                "key": "Sponsor Type"
-              },
-              {
-                "key": "Resource Type"
-              },
-              {
-                "key": "Measures(category)"
-              },
-              {
-                "key": "Measures(subcategory 2)"
-              },
-              {
-                "key": "Temporal Resolution"
-              },
-              {
-                "key": "Spatial Resolution"
-              },
-              {
-                "key": "Geometry Type"
-              },
-              {
-                "key": "Population Studied"
-              },
-              {
-                  "key": "Access Type"
-              },
-              {
-                "key": "Tool Type"
-              },
-              {
-                "key": "Is Open"
-              },
-              {
-                "key": "Operating System"
-              },
-              {
-                "key": "Language"
-              },
-              {
-                "key": "License Type"
-              }
-
-            ]
-          },
-          "tagsColumn": {
-            "enabled": false
-          },
-          "tagsInDescription": {
-            "enabled": true
-          },
-          "authorization": {
-            "enabled": false
-          }
-        },
-        "aggregations": [
-          {
-            "name": "Resources",
-            "field": "resource_id",
-            "type": "count"
-          }
-        ],
-        "tagSelector": {
-          "title": "Tags by category"
-        },
-        "studyColumns": [
-          {
-            "name": "Resource Name",
-            "field": "name",
-            "errorIfNotAvailable": false,
-            "valueIfNotAvailable": "n/a"
-          },
-          {
-            "name": "Domains",
-            "field": "domain",
-            "errorIfNotAvailable": false,
-            "valueIfNotAvailable": "n/a"
-          }
-
-        ],
-        "studyPreviewField": {
-          "name": "Description",
-          "field": "description",
-          "contentType": "block",
-          "includeName": false,
-          "includeIfNotAvailable": true,
-          "valueIfNotAvailable": ""
-        },
-        "detailView": {
-          "headerField": "name",
-          "tabs": [
-            {
-              "tabName": "Summary",
-              "groups": [
-                {
-                  "header": "Description",
-                  "fields": [
-                    {
-                      "type": "block",
-                      "sourceField": "description"
-                    }
-                  ]
-                },
-                {
-                  "header": "Usage Notes",
-                  "fields": [
-                    {
-                      "type": "block",
-                      "sourceField": "intended_use"
-                    }
-                  ]
-                },
-                {
-                  "header": "Reference",
-                  "fields": [
-                    {
-                      "type": "link",
-                      "label": "Reference 1",
-                      "sourceField": "resource_reference_1",
-                      "default": ""
-                    },
-                    {
-                      "type": "link",
-                      "label": "Reference 2",
-                      "sourceField": "resource_reference_2",
-                      "default": ""
-                    },
-                    {
-                      "type": "text",
-                      "label": "Publication 1",
-                      "sourceField": "publications_1",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "link",
-                      "label": "Publication Link 1",
-                      "sourceField": "publication_link_1",
-                      "default": ""
-                    },
-                    {
-                      "type": "text",
-                      "label": "Publication 2",
-                      "sourceField": "publications_2",
-                      "default": ""
-                    },
-                    {
-                      "type": "link",
-                      "label": "Publication Link 2",
-                      "sourceField": "publication_link_2",
-                      "default": ""
-                    },
-                    {
-                      "type": "text",
-                      "label": "Publication 3",
-                      "sourceField": "publications_3",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "link",
-                      "label": "Publication Link 3",
-                      "sourceField": "publication_link_3",
-                      "default": ""
-                    }
-                  ]
-                },
-                {
-                  "header": "Project",
-                  "fields": [
-                    {
-                      "type": "text",
-                      "label": "Project Name",
-                      "sourceField": "project_short_name",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "text",
-                      "label": "Project Sponsor",
-                      "sourceField": "project_sponsor",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "string",
-                      "label": "Project Sponsor Type",
-                      "sourceField": "project_sponsor_type",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "link",
-                      "label": "Project Link",
-                      "sourceField": "project_url",
-                      "default": "n/a"
-                    }
-                  ]
-                },
-                {
-                  "header": "Data Details",
-                  "fields": [
-                    {
-                      "type": "text",
-                      "label": "Domain",
-                      "sourceField": "domain",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "text",
-                      "label": "Domain Other",
-                      "sourceField": "domain_other",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "text",
-                      "label": "Has API",
-                      "sourceField": "has_api",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "text",
-                      "label": "Has Visualization Tool",
-                      "sourceField": "has_visualization_tool",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "text",
-                      "label": "Citizen Collected?",
-                      "sourceField": "is_citizen_collected",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "text",
-                      "label": "Data Formats",
-                      "sourceField": "data_formats",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "text",
-                      "label": "Tool Type",
-                      "sourceField": "tool_type",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "text",
-                      "label": "Payment Required?",
-                      "sourceField": "payment_required",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "text",
-                      "label": "Time Extent Start Year",
-                      "sourceField": "time_extent_start_yyyy",
-                      "default": ""
-                    },
-                    {
-                      "type": "text",
-                      "label": "Time Extent End Year",
-                      "sourceField": "time_extent_end_yyyy",
-                      "default": ""
-                    },
-                    {
-                      "type": "text",
-                      "label": "Time available",
-                      "sourceField": "time_available_comment",
-                      "default": ""
-                    },
-                    {
-                      "type": "text",
-                      "label": "Temporal Resolution",
-                      "sourceField": "temporal_resolution",
-                      "default": ""
-                    },
-                    {
-                      "type": "text",
-                      "label": "Temporal Resolution Other",
-                      "sourceField": "temporal_resolution_other",
-                      "default": ""
-                    },
-                    {
-                      "type": "text",
-                      "label": "Spatial Resolution",
-                      "sourceField": "spatial_resolution",
-                      "default": ""
-                    },
-                    {
-                      "type": "text",
-                      "label": "Spatial Resolution Other",
-                      "sourceField": "spatial_resolution_other",
-                      "default": ""
-                    },
-                    {
-                      "type": "text",
-                      "label": "Spatial Coverage",
-                      "sourceField": "spatial_coverage",
-                      "default": ""
-                    },
-                    {
-                      "type": "text",
-                      "label": "Spatial Coverage Other",
-                      "sourceField": "spatial_coverage_other",
-                      "default": ""
-                    },
-                    {
-                      "type": "text",
-                      "label": "Geometry Type",
-                      "sourceField": "geometry_type",
-                      "default": ""
-                    }
-                  ]
-                }
-              ]
-            },
-            {
-              "tabName": "Source",
-              "groups": [
-                {
-                  "header": "Source Information",
-                  "fields": [
-                    {
-                      "type": "text",
-                      "label": "Support Source",
-                      "sourceField": "support_source",
-                      "default": "n/a"
-                    }
-                  ]
-                },
-                {
-                  "header": "Resource Links",
-                  "fields": [
-                    {
-                      "type": "link",
-                      "label": "Resource URL",
-                      "sourceField": "resource_url",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "text",
-                      "label": "Resource Use Agreement",
-                      "sourceField": "resource_use_agreement",
-                      "default": "n/a"
-                    },
-                     {
-                      "type": "link",
-                      "label": "Resource Use Agreement Link",
-                      "sourceField": "resource_use_agreement_link",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "text",
-                      "label": "Dataset Location 1",
-                      "sourceField": "data_location_text_1",
-                      "default": "n/a"
-                    },
-                    {
-                      "type": "link",
-                      "label": "Dataset Location link 1 ",
-                      "sourceField": "data_location_link_1",
-                      "default": "n/a"
-                    },
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e01SmDGB1sKqNgN4gok7VOQblGN0zeqDkwPyFKHtrK8AkNpO1HxP7n2a8Wjb2M2r7WFlEp97Nxl9IY2/FRqPqSHzgAOmR7dBhje/ZrRdwq+obdEeBrRuSnLGmPrA/UMftKPLJ+kq/Sq8mj3un7KrMZcqJYY2z1mYS91hLRa3uoKcDwqgsmYpHDN62P+BZusRNdE4CU5CmAQz0V27uTQt2aRDr23MqHM0idbpLGbg+kEGzKyngyMFdTcMoItVTtW0jUtCz5NM1eF8fOjNmRxY+og8mU81ZSVYcQSKy3O7rrqYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKg32978aY6kxi0XMPQuu3HrD5quamrrpI04sVZMwtJS1PfFZpTa0ZTx5dO/3qxR4bIuDAJQ73Sts6xrkbPgBI4wCBLL1eWG9i+89uZVOPgSt71Gu+u6209gWh1N3ydXYAriwFTMV+05b3IUPIPJzv7qvYiuq7vTsft/sdcpC7bRsyjt47A7dhAxBl2VarkQKplEYGDZioKpI5ATcnMcRUdKcqreZx5DJdn9k9j7V1z+medEda7hFen9pZyrK+OnPydOxj1Y+nQA+EKmd2+8myJHJNVW7ifEL3J7iaYdrtk/sfYPVcaZgO8UUzcvMz5x0z6hMRzMzLAoPRFjxoAK0aAAUAKUAKUA4ACgAAAfcABwAZLzu8rmSVi0h5kkkn2k8TUGxxxxII4lCxjkAAAPYBwFec2VupilMUpilMUpitaYpX7I+QfxLsj6Leuo54QQEHDNYyKg8f0VADlNYgh/ROBi/ozo90bX2zvfRH21vTTsLVtvyAgwZUSyoL+MZPvwvfiHheN7/Wrvtq7q3RsXXE3NsjUs3SNwxkEZGJK0Tm3hIBdJktwKTJIhHDpre9U3IksZNlcEk2px4ISeZJCVoYR9AGTYkAwteR+KqPJA+Jihnml3r+AXOwEm3H2FmlzcYXd9Fy5AclRzI0/MfpGRb6uNldMp4LHM5Fq9O+x/+8FwNQeHbff+GLCymsia3iREYzHkDqOGnUca/wBbJxQ0I4tJAg4jeaaiayaSyKiayK6ZVUF0VCKorpGDkqqKqYmIomYPgIDnm9k42Vg5c2n58MuPqONK0c0MqNHNDIvBo5Y3AeN18VYA+IuCDXpXjZGLm4cOo6fNDk6bkxLJDNC6ywzRtxWSKVCySIw5MpI8DYgivfPlX1revX7sPf8ArjbhsVPVGTr0oukN0oL1yZGFtbUnBBcoGEDkhbU1SD+9ZAhR5EATcFVREShJHbDunubtRrn7U0M+dpczD8VhOxEWSvLqHMRZCj9XOB4dEoeMkDEt5bL0fe+m/gtTHl5kYPkZCi7wn0H7cRP04yfzkKtxrsd6h29SN30aK2BQZL5+GkQOg5bOClby0FLtwJ+YQE8w8zqR0zGqHAFExESmKJVEzHSOmc3q3sbfG3u4e3Idz7am83AluGVh0yQyrbrhmTj0Sxk2ZeIIIZSyMrGke5Nt6rtTVpNG1iPoyk4gjikiH6MkbfWRhyPpupAYEDZ2ZfXQ0xSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKVSX9Qb6oCWsXk5ovrXJMJTZ7NReLvmzgSbykBrFwACRzX68gqCrKxbFSAeFvMDsIYeAXBZzy3TkPa2zTmKupauCuGeKR8mk/ObxWP0fWfwsvE1o7t9710OSXa+zHSTW1JWfJ4NHjHxjjBuJMgeN7pD9bqf3B1xpCQkpiUlJ2blJOdn51+vKz0/OP3MrOTsq6MJ3MnMSr1RV5IPlzD6nUMPAcFKBSgBQllESNFjjULEosqgWAHoAHACqcTTT5M75WVI8uXKxZ5HYs7sebOxuWY+kn1CwsK/LmtfKmKUxSmKUxStkag1Led7bJrOptbMGEjdLaeS/KkJWTSh4tJtDRjuZln8jJKprfLtGMYyUUEE01llDABE0zmMAZxM/OxtNxHzsskY6WvYXPEgAAekk+oek13W3tv6punWYNA0VUfUsjq6Q7BFARS7szG9gqqTwBJ5AEmuJ2Lr64amvtr1lsGHUgLrSpQYmfizn99Iip26L1i/jngEInJQ0vHOUnLN0QAIugqUeAN5FL9MTKgzsZMzFbqx5Fup/IQR4EG4I8DXH1jSNR0DVZ9E1eMxaljSdEi8xewKsp+sjqQyMODKQedwPjr6DY2nYut6rKGcFibXsWiViXFmr8u8GIsNriYiUK0ceJhbOjsHihU1QARTOIGAOQDGXK0GJNOlutInYX5XVSRf1XFaaRixZ2s4WBP1fh8jMgifpNj0SSojWPgekmx8DxqaH1KtFaw68dlW9F1DXj1SoSWsqraTV8JKRlWbKZdyliiXy0evLun0ii3fIQ6CiiR1lCg4FQ5fED+IY/tDUszVdIOTnv1ziZl6rAEgBSL2sOBJtw5WqSO9O19E2hvRdL29CYNPfCil8vqZgrlpEYqXLMAwRSQSfeuRa9qr/WVKikdUxVDgQPRNFMyy6pzCBU0EESAJ13C6hgImQoCY5zAUAERDMoAubVErHpXqNz7Bcn0ADxJPADxPCp/9m+kbXq5150hsS8354lvPacsmjN6dWYsxjoWKVhXE1Kflj9JJOSK/ogHYtZNVwZRu4dvRIkBOEvPF9H3E2tark4mPEP2bCvCW/Em9hccrP7xUDiAOPjUtb37ZR7G2hpmsanlsN0Z0gD4hA6UUoXbpYAN1Qe4sha6sz2W3u3h7S75K09YqBQNIQSqnk6hzn8faE37bqKUNyDR2HxEn9qV+BgAfxZC/wAQXwzbL794DajKU0ruZDF042qIl/MCj3MfUkXjlYx5LJ/lOPfqidlBjOf/AA7fFBvb4f8APXTIhJq3bCebqydKd7eWW+nk6ZI1xi5Q5tH/AJNk26ZUViJBLCJlo6djm8rEuivGLkB8FQDwUTVLx7rZyiP4m7pA3ochvUB9Q5AQEfEfe2yd19uN05Wyt74b4O5cMjrjJ6kkjb9XkY8o92fGmHvRTJwYe6wV1ZR7k7I3xtLuVtTE3xsXNTP2xmqfLkA6XjkX9Zj5ER96DJhPuywv7ymxUsjKx5DMXrKakF1q7D2TrbsJO0xoO5OmzZ2jLY1RRMJizkOgYSpTEY3MYqJbXXU1DqND/hFwl5tTm8VCmJKHaTunq3afdA1jF65tAyCqZ2MP5aIcBLGp4fiYASYzw616oWNmBXDd87Lwd8aMdPn6Y9UiBbGmP8m55ox5+TIQA4+qbSAXBB7L1Xs8BdK5CW2rSjWbrljjGkxCyrI/uNn0e+RKu3XTEQKcomIfgxDAU5DAJTABgEA9cNH1fTdwaVj63o0yZGlZUKyxSIbq6OLqR48jxBsQbggEEVRXPwMzS82XTtQjaLNgkZHRuaspsQf644EcQSK57OyriUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKVSZ9UH6gjzWCUj1r0XOHZ7QlGCQbNvkWsAOdYV+UbFVQr8A5J5AjsWyMVQUBb9qGYKAuAfMrNjJyHs3a65pGr6kt8NT92h/lGH1m/MU+H124cgb1o74d25NDV9l7XlK65In+MzqeONGwuI0PhkSKb3/kUIf6bJbrbpIpoJkRRIBEyAPiUBMYeTGE5znOcTKKKKHMJjnMInOcRMYRERHJbJJNzzqmSqFHSvAf8PnJ5kniTxPGvpmla0xSmKUxSmKUxSsgqVutGvrZWL9R5U8Hc6VOx9mq8sQBMVpLxavuoEdJB6Oox8mJ2zxA3JXDRZRMQ4NnynghyoHxcherHkUqw9IPo9BHMHwIBrmadqGdpGoQatpkhi1LGlWSJ/Q6m4uPFW4q6/WQsPGre+/shqDtd1k1L3qpErA1jZMatC6x2bRXD9qWdkVX787N5VVGxVvmnk9r2zLKvGCwpf31AOl1uQTFHxwTbCZ+iazPtvJVnxDeSN7HpFhcN6AJFsD6HAHO9WF7sy7e35snT+6OmSRQayhTGyYCw8xuprGIi9y+PKS6G3vQM7cumqfKjZj1i71CxRiCMvMU23Va3toMoOHCj9etTsfOIsHCEeRd+k3fmYgkZQhBMQD+QAIhwOeZEImxpIXJWOSNlv6OoEX48OF71XfT804Wp4+ZABJkY2RFME4ksY3VwpC3YBum1wOF7ipJd2ezp+0u6EtsSFCk9UsW9LgKZGQFlWcHkVU4l7LyTiQeyDlhGMlFnb2ZORFNAnBUEiCYROYwB1G3tHGi6f+CWVZ2MjOWXlxAFgLk8AON/E+is07mb2O+dyDX5sR8CIYyQrHIT1HoLsWLFVW5LkAAcgPEmtw/TJ1JrvZnZEtt2lZK3D07Q9fS2yMPYpBmwQss8zenQr7xUXy6DdSApTpA0q9MImKVwmyA4e2c2cHeGdlYek+RhI7ZGS/l3UE9II94cOPU490erq8ayLsnt/R9a3l+0Ndmhj07SoRldEjBRJIGtGT1EAxwkGVzxswivwJrTfc7ss+7Xb/tOzSKuiUeMA9O1NFuSGRMwoEU7VOhLqtjcihJ3aQE8o5AeTkSVboGH+9wzn7f0hdE0tMPh+Jb3pT6XPh7EHuj1gnxrG+5G9Jd+bsn1oFhpafc4qnh0wKTZyPBpmvK3iAUU/QFRYzuqwSsvplwe06U+aRKdzGOzJkl4wDcFdIl9ActwN+FORalHlM/9IPwG9B9IL+IHsLtzv7s4aNntHh7ywVd9L1Erc40rcTjz296TAyCAJ4+PltaeK0inqnz4efiA3J8Pu8jrOCsubsrPZE1XTQ1hkxLwGRjg+7HqGMCTBLw81b48t43HTMBi+ZybJrIx7gjti9QI4auSehVUj/eA+pFUzAJTkH1IcBAfhng5uPbuvbP3Bm7T3ViyYW5dNyGgyYH5xyL6DyeN1IkikX3ZI2V14Gvfbbm49v7x27g7u2nlR522NSx1nxZ05SRN6V5pIjAxzRN70UqsjcRX6s6eu4q0b6bXYc9Xsq3Xu1PxCu2td9Ma0XdKgCcRaQTVfz1TSOpwCbOxIJqP2aYG8SvE3BCgJnBQy4/wm90m0jVm7X6zJ/4Xms8uAWPCLIsXmxgTyWcBpolvYSrKALyqKgLvjssahgjeenp/juOFTKAHF4uCxzG3NoyRG58UKE8ENXcZ6F1VWmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKVCLvv21ZdSdHvrLFize7Sui69S1LBPAIqg4sqzYVXdjk2wmA6tdpkeIvnnACCxyotuSnckEMi2zoba5qIhe4wo/elI+zfgoP2nPAejifCoy7rb/i2Bths2DpbXMkmLFQ8QZCLmRh4xwr77+k9KcC4rp3v5CTmJKUm5yUfzs/Oyb+cn56VXM6lZ2clnKj2VmJNyfky76ReLGUUH4AI+JQAoFAJ6REjRY41CxKoCqOQA4AD1AV53TTT5M8mTlSPLlSyM8jsbs7ubs7HxZiST8w4AV+XNa+VMUpilMUrwIgACIiAAACIiI8AAB8RER9AAM1pXMVmu2a7OSs6PVLZd3Rj+2CNMrE7ahBTnx8Dngo9+kkYDenBzF9c+c00OOOrIdIx+ewX90iuThYWdqb+XpmPkZT+iGN5f4isB8tbvQ6hduHSJXDfq9vRRA5QMRQ1Bkm4mIIcgYEXQoOeBAf6jnOuOvaEDY5mNf9Mf1KyZe3vcB1600PVCh8fIYfkNj+StcXLUm3tdEUV2DqLadIQSKc6zuz6+tUXHoETDlRReTVixjUUyB6iYyoFAPtzlY+fgZf+SzwyH0K6k/Ne/5K6fUdvbh0cX1fT8/FUczJBKqj2sV6QPXe1WMdV/p60Z9rYO2Hde0BqXRDdi2nICrvHq1bsFyhHBChHzlqlUilm4WDsBDkJFxMeX84lkVCj5JFUSRVxTWt05K5f7E28nn6kTYsB1Kh8Qo5Fl+sze6pHjYkTJsTtHpcmi/097lz/gNrBQ8cRYxyTIfovKw99Ek4CKKP76UEG6gqrbdffVQ0hpNH+E+mvUirQtajeGzO0W1NnQjS6JAEDOQgoGKlrU581ORKtKPUXSheBOmUR4DgJsvUtRPn6/nO0p+qt3t8rEL8igj0Gu+l767Y2yv4Dtzt+CLCTgJZbQdY9PQitKePjI4YjmBX4o76zdhsYjFbv6ta1vNQch7b2NgLAqu69s4+JjFibzCSUJIAUgjyRRduB/h5Fzc/b+KIdenZs0c45Fl4fOhBHzGvnD8SGXmn8PufQsLK05uaxyEn+BOjI3sLLf01ylm6d9Pe+NEntndEpVhrXbVcQM/suirAgeEhXD5wZQ4RszVXSrv+BHUwBTAzmIc68G4UApVCKACh0tkOva9trJXD3KpmwXNlmX3jb0hhbrt4o9nHhbhf75vbvt53U0qXW+1siYWvwjqkwZB0IWP1XiJPkF/qTQloWNgQeJWouo6f2ne9qN9H1ujzC+3l5+UrC9Ekxbw8nETcGmu4nkZ9y+UIzimUI0bHcOHRjGS+WAFUhUKdPzzqfPwsbCOoyyL+AChuscQQ3LptxJJ4Ac78Daxqvun7d13VNdG2MPFkO4TK0ZgayMjpcuJCxsioAWZjw6bEXuL2f3boL1l6pabnLD3D3m8kN12OuPz6619q9+ozBhYQbO/ywIODFBSw3ohJBNMrp/JEZQyZSHKZJPkDjhuPubWNbz1i0HGA09GHmPIL3W4vc/RThyVbvy4mpw1LtRsnYW3JcvuJqjPuSaFvw+PjNbpksenoSxkn963W8gSEcQVXnVObcXAoIC7BIrsUUhdFQERQK4EhfeBER9RSBTnxEfXjM+Nrnp+jVdE6+kddvMsL25X8ber0VuLVFxGGki12QVAsPMOA+TUUNwSNmFRApDciPBGsmIARQPgVXxN9o5Rj43Owi9wNonuxtaDq35t/F/xpEW75+lR3ZxYcXydPBaaA8WbH86HkqWvp8DPxAt293eO0W65wuwNw5X+KPI1k0/VpbKhueCY2okLDOOCpk+TNzZ7yeEBARAQEBARAQEOBAQHgQEPsEBzx0VldQ6EFGAII5EHiCPURxFezLo8bmOQFZFJBB5gjgQfWDzr7s30lFPo+YhHy0XNwsixmYSTbmEq8bMRTpJ9GPkjFEDeTZ4gQwhz+IAEo+gjn3x8nMwcmLP06RodRx5UlhkHAxyxsHjcfosAfWLjka+UkUGRC+NlIJMSVGSRDyZHBVlPtUkernXaU0Dthhu/UNI2UyKm3XsEQQJuPTOU35TZY9Q8dY4owAc5iAxmGqxSeQ+RkvA3wMGeyXbPeuN3D2Np27ccBZMqAeagP6qdCY54+Zt0SqwF+JWx8aoDvHbs21NyZehS3KQye4x+vEwDRP++QqT67jwrcWZ3WM0xSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSvUxikKY5zFIQhRMYxhApSlKHJjGMPAAUADkRHFaEgC55V0z+9/ZVx2j7G2u4x747jXdMUea81Q2AxvlTViHfnLL2lJMSJh8xeZ9A7zzEBOaPSZEEf3eT/trSBo2kpA4tlyWeT09RHBf3i8P0i3przj7qb0ffO8Z9RhYnR8a+Pijw8tG9+X2zyAvfn5YjHhUOs76o5pilMUpilb+679Ydz9prYtVNQVor1vGLtkbXeJs68fQqQm64MQZ+ZSQXUcyh0OVEoxkRd+sQvl4Jp/vA6vVdZ0/RYBNnPYsPdQcXf9EejwLGwHrPCst2fsfcm+s84G3oOpEIEsz3WCG/9sexJa3ERoGcjjYD3qtosHWb6f307oqry3aJzYOxe5LGzcylZqCteWfQz00Sq3I9ewFCScoVOPh4986SQO9sL9ycfcL4jzyUMHi1jdG6ndNGC4mAhszdViL8gz26iSATZAKn7L2V2m7QQQT75aXWNxzKWjiMZZD0EdTRwAiJUViF68h2PHhx4Vqu1/WX2MxajAaC0DrDVNUbpilFpWNVzPP2fAAX3U6/US1StMRMBQ/dlWclKHp5G+Oc6DYGIzebqeVNPMefT7oP75upj7bCuiz/AIjtYij/AAm1NJwcDAAsokJkYevy4vKjX2BmHrNaHc/Vl71LrmWS2Br1mmI8g1b6phjoFDnnxAzuRdORDj71Of052Q2PtsCxilP/ADh/qCsUfv73RdupcvDUegYqW/KxP5al7pHvr9T6811rbIjq/BdgqBJOXTFOfiaq7pCEmDFwoxlkYyTG1OWTwqDlJRBRQI5Vv7pDE5ESmAOi1HbOzsaYwSZjYuUBfpLB7X4i46bj0/SvapD2x3V73aphrnwaHFq2kuxXzFiMAbpPS4VvNKtY3UnyytwR4GrB5nUkT9QzWDKH7U9Z9raAlqfJnkqeV5sWuLvo6WdtflFpyurU2fkGjpRBuT2/CchygQhxAif4jjmLR5z7WzC+i5kGUki2a0bWIHGzdaj+wb5alzI0CDu7oi4++9Fz9JyMd+qK+RGWViLF4zDIwNhwtNELAmw4mqMO2f03dxdZ495f6y9HdWkE0yvT3musCEs9UjlE/dI7utYjzuU1ochAETTEYKjMheDLotiiBhkjQ924GrsMWYfh9R5dDH3WP5jHx/Nax9BNVe3/ANmdxbLibVsJv2ltkDq86NfvIlIveaNb3T+6x3QDiyoKruKYpylOQxTpnKU6ahDAchyHADEOQ5REpyHKICAgIgIfDMr9XjUPAgi44g1sPU+2L3onZFW27rORPHXKnuyuG6QrKJR9kh1FEzTNMsKaZig8rtkakFFYhufZUEjhPxWRTOHEzsHG1PEfBzBfHkHyqfB19DKeI9PEHgTXcaBr+q7V1mDcGiv0ajjtcC/uyIfpwyDxjkHAjwNnWzKDVuv1HWLGerfW76lXXmXlqTJ7Aj6/A2axVx6EZOx0hL192rSpZw4QTKJ5uIK3kK1Iicp010jN0DlEiRQHBdps0c2XtHVFWRIizKrC6kBh1j2H3ZF9BuRxNWD7xxRZWFo3efaEkmNPlpGkkkZ6ZFZ4yYWJA+mlpMaS9wwKKQQoql6wT0/brBLW63Tsza7ZPLi5m7NY5J1MTsqsJhNy7kXqiq5kkxH92iUSopB6JkKHpkgxRRQRLBAqpAvJVAAHsA/d5nxqtuZl5eoZcmoahLJPnym7ySMXdj62Yk29A4AeAFcVm+uNXgQAwCA8hz9oCIGAfiBimD1KYo+oD9g5vjcxuHUAkeBFwR4gg8CpFwwPAgkHga2ugkQoxIB8QbEHmCpHEMpsVYcQQCOIqYevbMa0Vps4cHA8pGiWMlh/pKOEUwFs8EPs+ea8HH+vA2eC/wAU3Z6Psx3ey9J0qMpsvVlOo6Z9lIJXInxAfTh5PXEP7k0Nhavf74U+8knevs7h6zq0ok3tpDjTtU+1JPEgMGWR6M3G6ZT/AHZZrm9ZvldasdVtP0stmHbymzNNPnA/LukWuyawiooQpE1vNvAW5q3TH8RhUN+XORAP6R1Dceojl3fg13c0eXq+wslj5Thc/HBPAH3YclVHrPkSe0ufTVdPiA0IPj4G54h76k40ptzHGSEk+r7xfkUVcrl9arHTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKr2+p3vZzozqZdjQb8zG6bSWb6mqKyB0geM1rYg6LY5lsmcfcE8JT2kguQ5fVNcEh5ARDMp2dpo1LXI/MF8eH71vQem3SPlbpHsvUR97t0vtfYOScZ+nUs4jFiItcGUHzHH6EIkYHwbprqGoopN0Um6JCpooJJoopl9CppJEBNNMofYUhCgAfoDJ1JJNzzrz3VVVQqiygWA9Qr6ZpWtMUpilS56Y9Q7f3D2kapRrh9XddVQGMltW/NkSmVg4x4Y52Farx10ztVbtZ00Tg2A4HIxalO7UIbxRSW6LcGuwaDhee4D5b3EaekjmzfmL4+k2UeJEhdt+3uo9w9d/AQlodHx+lsqcDiin6Mcd+Bmlsem9wigyMDZVa0m57ptlysEf9Pr6V1eZ1GnUZVGM21vyCUBGHqzT8x+Usq0Ja1CulF5A6zdyR5PiLqUl5IiiEcBhTUfEwzH0+DHiO6N6MXnk4xQtzY2ut14cOVk4Kq2L8wtTnqW5c/UctO0nYqFcfTsUhcrOTgkQ6rSFJeN2uGDz+9LLICsN7NKI7/Wau1Xm9+arosFLt5aW1ZrCTaXMUFwX/JpC0y0Y+iIqQU81PblTxMMLxVIxhOmg4RMb+2Fztu3+PNHpk+TKvSk0wKesKCCR6rmw9YPorD/AIj9TwcrdeBpeJIJJ8HBYTWN+hpXVkVvzuhOsgm4VlJ51TorMRKCSiyskxIkimdVU3zKJvFNMonObxKcTD4lAR4D1zPQjk2AN6rq2RAoLM62AueIq4zV30q4V/q2l7F7Hdl4DQEnsKPbzVbpyyVSSVaRj1khJNGsrNXCbj0H9iLHuU1XTVmiBGYn8DHUEBNmA5u9ZEzZMTScNspIjZm97iQbGwUGy34Ak8edhVi9D7EY0uh42sbx1qLSZstA8cJEQIVgGAZ5nUNJ0kFlQWS9rmxNb+372frHRvqnqHrH1T7Cw+wtu1uVR+Zu0VH0u3t4ujqTk9ZJ5xZGzYsxV4x5MO5JNgxbEEzrwAy3oVMxjdZpejTbj1qfWNbxWiwXX6BLpd7BV6eTEAC7Hl4eNZZuzfGF2v2Hp+yNh6vHl7ghkF5lWGULB1vJIZAOuNS5YIij3rXbkCTUxs3uN2q3ExdROwt832SgnyYpPa7Bu2NKgXiYm8hSeMaaxgzvUB+1NZRQgh6CAhmb4egaLgMJMXGiEg5MQXYewuTY+sWqAdb7jb73FE2Pq+q5b4rCzRoVhQj0FYVS49RJHqranTbvptHqPKtIBQX+wtDvnAJ2PVT5yDhxBNXCg/OTWsXL0/twskkVQx1Yk5ixciHJPFusJVw4Wv7Zw9cQyi0WpAe7IPH0CQDmPzvpL6xwrvu3PdbXO3+QuI3XmbVY/eYrG5jB5vjE/QYcSYifLk5WRrPUie8vTvW8hrtl3f6cmaTeiLi2GxbBplbbqfJ0j5tY5ZC8ViJIQHELAs5MFEbHCGTTNBuiqLpppolcpIdVtvX8tMo7c1+66lGelHY8XtyRj4kjjG9/fFgSTYnL+6HbvRptIXub266ZdrZI8zIhjHCG596aJeaIGuMiGw8lrsAFDqtSHx9QEBAQ5AQHkBAfUBAQ9BAQzOar/V0kUY0v9DywFnhFQtc2U5TqXv8Ar7JWe/mJmCbQDfAia75yQvj9nOR8/udxVMXN4R1fLAb3+YVZOAnI+GKb8XxEOYfKv4Wzl6bfKzAVpjr7o/6ZNs1DTbDvjtNZqXtuTYqr3WoI2mNqjasyvzKxBhmcY6p0wq4ZtUSFFJ58yqDwhgVDw8vbLz9U1HeEGdJFpuEkmCD7jdJbqHpJ6hx9Itw5eusc2ltjslnbexsvdWuTY24HUmaISrEImufcCmFyQByfqPWPe4XsI89uNfdStfWKmNepm5pvb0LKRMutdvzV42nG9ZkGrhgWE+TsjSGgknC80iu6FVkKJzNitiKe4AK+OdroWVrmVFIdcx1gkVh0WBHUDe91JPLhY343ItwrD+4OkbA0nMxk2BqUmoY0kbmbqIcRsCvR0yBEuXBa6WPT0g3961RIzvaj6tnalnBirYlHqHErSwojHKAI/hB8l5OI1T19AEygHTEfjwfjKdfHL25XevZCXdOJH1a7tTIGehA944cnTBnx8OJAQxzqvINCWq6PwH9yW2T30h2nlv06Du3GOA4JsozYuqfT5OPAEuJcdm5lZgtSrzxVr25qRXUa5HoXZnT04ChUmslZRpcodQ3in+W3VotB/vBEQDxTlV2igc/AyYDkq9jdfbbXd3QtQBCwzZf4WQnl5eWph4+yQxt7VFYV3I0wavsTU8WxMkcHnp6eqAiTh+8Dj5a7OmevtUNpilMUpilMUpilMUpilMUpilMUpilMUpilMUpilMUpildZ361e0T2Pe2rtQtHQKR2sqG7uMs1KHHt2jYUgdixMoIftqNK3WhEvP7JXxuP2h5l7t7hCLTZs9h780oQfooLn+yb8lUq+JXXDmbpwdvxteHCxDM49EuQ3St/WI4+Hqc+mqasz+q40xSmKV+6KiJqxS8NWqzGrTNms0xFVutw7cDGWlbBPP28VDx5AIBjFBzIOkymMAD4EETD6FHNryRwxtNMemFFLMfQqi5PzCvtj4+TmZEeFhIZM2aRY40HNpHYKi/KxAPoHHwq87tzbYz6fHUzX3SrT0wCG3drQr2w7fvsUc7WZSiJIU2d5tSDpMqKzOVvUskaFhjc+4xh2avh4nbImyNtDgfdOuS7hz1vgwsFiQ8rjii+sIPfb7TEX4E1aLuBqEHaPYOJ2127JbcGfEZMudeDhG92eUHgQ073hh8UiRrWKKa+X0wBk5/ph2v1Z19sEDR+0i0tMSEDJvfYaroRspT4aK17Kt1DIuTpRkevHyDFByCKqce/MKpiiJgA27ePRFuDCzdUVpNGCgEDjxDkuPabqSLjqXhW3sgZsztvr2hbSmixd8mR2RmsCFaFFx2BsbKpWRFaxEb+8Rx4wt6h9WrbOd96npLf1NeklqY7ntn7brlqdN7WWcaxkQElFPJ6XK7kmlsjLVZpmOVF0ddZN6UDFU54OnmQa7rUEW2X1HS5B0SARxMoK2ubHpFgVKqGFrC3h4Go27e7G1DJ7r4+2d2YzCfGaTJyo5SJesKnUpd7sJVlkeM9RYh+IPiKtA3N2V6paU3UvpzfH0+2dA1hMWN/T2e9JnU+t1aHYYUY8CObTEtI6FVk30Am5XEjkiChpFszKd18uJCCGYbp+k63qOn/j9N1Qy5iqGMIlk6wb8FJLWB9F/dJ929TjuTeewts7k/o7unaa4uiSytEM1sXHMLpaxkUCPqZL/S6SXVPf6eBAkB3r6hU3uD1kri2qDV6wXHV0SNo0LNMpFrLw9gjCxaDWRpCUyVV40dRN1hY9FBFyJzAk/btVzKeKanl1e29dyNC1hxnda48zdMwIsVN7h7cDdCSSPFSw8RWV90u3undw9kwtoPkzajgx+bguGDpIvSA0PXcgpMihQ1zaRY2JsGv1NUUCNimQK0FgZJRVFdkduVquzdIqHRdNXTYoB7Dtq4TMmqQfUpyiA/DJwvfje/r9I9I9XoqgoUJ7vT0kEgraxBHAgjwIPAjwItX1zStaYpXY9+lGpS9VdL7XfdpyqMZTdsb4f1sjexGM5q5wnpGsahiGpmDgFWCDa12kx0XRxICSxlQMsPAGNkTb2/EZu4ExsJS2RBjBvd+lwDSk35+6vEeItwq5PYU6doPbafVddkCabn6q0YEnGL7xosRB0m6gSy3VjaxvdvE1UR3F6mWLr32id6OoEE/n4vY7+OluvsO3A7h5MxVskVmDKlpKCZVQ69MnU1WKypx/dRiaDlUQKJjZnWga5FqujDUcpgrwgic+AKi5f9+vEDxa6iq+dxdgZm0d8NtjSYmlgzXV8BBxLrKxVYRzuYZLoSeUYV24Emp3fUTVg+sXTfrH0Xi5VCTtZkoW6X9dqofzOxrTp3IvpM6RUiGOjctqypxZEMHuKJMFg4ESZjW1BJrGv5m43BEHFEv6WsAP3kY4/pCpU7wNi7I7c6J2vgkD55CTTkfZjJZmtblNlMegcyI2FuFUkJqJrEBRI5FUxEwAchgMXkhhIcvIcgBiHAQEPiAhwPrkim44HnVZAVYdS2Ir3zStaYpX0RcKM1kXiImKu0WRdoCUeDAs2VIunwP6TJ8Z8MzS8LXcHI0HU1VtNz8eXFmDcR5WRG0L3HqVyR6xXJwtVztBzsfX9LZl1PAyIsqEqbHzceRZksfWyAH1E1O1m8TkWbORREBSkGjd6Tj4ADpEiwlDj0/AY4h/Jn5qtc0HL2pruftTPBGbpedPiPfnfGleEE+tggb99X6b9E1/E3ZoOBuzTyDharg4+YluVsmJJiB6lZyv72v3NpFWGfRk0gcya0HLxE4koUfExFIaTaShDAP2cGaBnAgynwMmHUIzaTGnimB9BikWQfxa7B4FyopMVxdJY3jPsdSh/drt2sHiUixZSCA8oPmjZ4iP3pOkSLpj6en7Bwz3Hxp0ysaPKi/VyIrD2MAR+Q15vTRNDK0L/TRip9oNjX68+9fOmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSul731uDi890ex8y4UBUkZsA1JYnAeQLH0OFiquRIv2eBXse4H09BMYR+3LA7ZgGNt/EjHjF1n2uS37hFebndbUX1TuTrOQ5uI8vyV/RgRIrfOrfPUSs7yo/pilMUqzn6SGo2eyu27a3SyCbiG0dTpK+FTcJebcbbOqGqlTU8h/CVZg2dSbsgj+yq3Ib4gGYfvnObE0MwIbPkyBP3o95vnso9hqbvh/2/HrO/11HIAOPpeM0/EcPNf7qI+1QZHHrUGoh9qdxPN/8AY7cG1111V4+ct7+DqRFPEAZ0SnLq1uptkSkHwBNyyYmfG4/aXeqG+JhHO90TAXS9Jgwh9JUBb1u/vN8xNvYBUfb83FJuzeWo68xJilyGSL1QQkxxAeoqvX62cnxrVNA2LcNWXCB2hrmdkoCz0eWaSDadi1pJCNAGTxu7eVuzvo3xbq1ydI2+WkGbg4pqoHNyTyAohzMrFx82BsPLUNDItrG1+IsGUH6w5qRyNdFpOsajoWoxa5o8rxZuLIGDqWC+6QTHIV4eW9umRGNip5XtV+ym6Oi/bO2Ujsq17K23pl2Zhqi3qVgcMLPW6xLuYZQwrqV+VLcq/O0e/V9vIOD/ACT9uXyWbCHulIIETRjIafuTQ4JNIOJHqGjtJ1LdWYA/aHQwdGtzU8jyvxJtedy9rt/ahi70TWsjbe9Y8cRSFZY4nKHj5b+dG8E8YYnokXiV+kBYBZwSehZfsR1a2dqbYG86Z2Vjrawfrak241rlZg5GEnWjAy9VkZl9QnD2ryMpVrMikqWRi2rFVZoc6KqJjCcyuOJqaaVrUOdi40mI0ZHmxdTEEX94APZgGW46WJAPEH0SdPtXI3fsbO0DVtUxtahyEY4mWI40ZHC3iZ2gJiZopAD5kaoSpKspNy3XB0DXu+levl30N15W3RVLxVJRzDbRpNOniRVSqMvydA72aeTq4U2vJyhTC4j3zcyLl81VI4QE5DeQSzqcu2ZcaPU9V/DvjOLxuy3Zh6AB77W5MpuAQQbVTbaeJ3WxNUydq7QOpQanjyFMmGGTpiifldy58mPq+lG6lWdSHS4N6xjdnTXs711hRtG3tUyULUwOUz65wkxE3OtRizpYClNYpaCePHEKd05U4Fw+SSROob1VExg5++na/o+qyeTgThp/BCCjG32QwF/YOPqrhbm7cb32hjfjtw4DxYH1pkdZo1JP8o6ElLk/ScAEni1zUW28gwdKCk2etHCpS+ZkkXCSqgE+HmJCHEwF5+3jjO5KMBcggVgiTRSHpRlLeoiv2Ztr6VdJtFk4sn0PNNDUzKqMavcKutsNSMOAOIr8s2fZ2M0+eHTHybKR1yfMnRjm9UwAqg8AHOR9hsIe42R59gzxt0X8bxqQB7UBH5Ksprkb5nwxab+z7mKDIiOR0816cmRXY+jpmKMT4cDU6672opBejOqu+131m32huDVNGf0JF8yQaHnIK7Ts3Ea3uhlZ56BhrUNY56EarybshFVUmaogmQ4KGTPjUui5H9I5ttY8xhwJ5A9jexQAyJwH0iqkhR4kceVxKeHvvTP9V+B3W1TCGduHAxWgDADrSaR0x5ruf1aSSIrSMASEPAG5BoIge1+zGfaRh24uUfWtlbEbzziYd1+xILpVII5aJewLCt18ni8c15nU4l8IQ7gCLqt3SYOVSqqqLCeTpdEw20Y6Hjl4cUrYMv0r3BLNy6ixHvjgCOAsALVPxd/a1HvlO4GopDm6uJS5jkB8rpKGNY4+ZjESH7lveKsOtgzM17Ctqv8A6cndbXt329FTzbqT2NrlekrJYYKW+QiELfJs2ZVUmz+Eb8VrZiEo8TBunIQvtToHV8lSeXCQ4thLuvb2VHguhztJdwqsLnpBPgfpR2HHpf3PR6al3XpezvcrSMncEEo2/vGGFpJI26UErAXAZB93khiOkSQ2nubsL+7VK7dRRZugqsgZqsqikoq2OYDHbqHIUx0DmL+ExkTCJREPQRDJCIAJANxVakLMgZh0sQLj0H0fJX2zStaZrWtS91g8F5RYLyN5GZFeRhh55/wF0oUgCP3gkoXPCb4xtATb3xK7mSNemLUHxdRA/wA8xo2a3/OI/wAt697fgy3A+4vhk2xJI3VLpyZWnE+P+JZMipf2Rug9lqy2V/8AVcj/ALgd/wDB1Mq/mf5HL/em/imrRY3+UJ+mP3a7aWrXB3estdOlBEVHNEqLg4j8ROtX49Qwj+kRNntvs6QzbR0qZvpPpuMT8sKGvOncCCPXs2Mcly5h80jCs7zJK6imKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSuh7s6XUn9p7YnVRMZWX2vs2QOJjCY3Lm9T5+DGHkR8QEAD9AZZXCTysKCMclgjH9gteWGuZBy9dz8pvpSZ+S3zzyVhWciurpilMUq7L6W7gKb1c7/AG0kuEZOJrq7Ng9AOFkgquq7DYGpE1A/GQoydg8vu8gAcjveY/EazpmEeKM3EfpSKp/ItWY7GP8As7Y27NdXhPHCQp8R5WLJIP7KSq0elejI3sP2F03pixPHDetTqjyUuKjddVs/f1in151YJiJaPERBdo7sAsSMzLEEDpJOFDlEDlKIZhuHUn0rSsjUIgDMtgnoDM3SCR4hb3t4kAVC3bTa8O793adtzMYjClJaaxIZo4YzI6AjiDJYJccQGJHECrp9o/UGT663++6j1D06bTXVHrrNQmut1W6FjXMZGQbx4zjTPk2DFjAOaoghHISSZSllHHuyapDCc6BVU1Tx7hbXOq4sWdn55XW8tTJCpIJIBNrkt1cbfVHuj02Iqymud2xs/Vsvb+39urJsLR5Ex8yVFKqhIXqCqsZiAUMABK15CDcoGDGA/wBUvrnrvSG5KRcNTxbOv0TetVlraNUYIlaQ8FaYd5GBLuq/GgmmSIh7IxsDVyLIgFRbu01hTKQioJkybZeq5Wo6fJBmkvk4zheo8SykGwY+JUqRfmRa/Koo76bO0fbG48XUNBRYtK1SB5fKUWRJUK9ZjX6iSLIrdA4K4bpADWEQuunYrdnWa5sZrRdiGNcTsxER8nQJP33evL28kH6McxZWSvJqpJoOnDh6CRZNkLeRblOIlVMUBTHvtW0nTtYxzHqSdQVSQ44OgAuSrejhfpN1PoqPdn7x3NsrUkydrTdDyyIrQNc485ZgqiSMEWJJt5idMi34MRwN9v1NO5tz6zw1U1fqdGDqm7txQY2q+bBiotq7PWq9DJM62Z3B/mLI5JayTL1uZjHOpBNX5CPZKHBMVQQAkZbP2/BrEj5md1Pp2O3SiEn3mN2sbHgoHvMBbqYjja97W96+4+pbKxsfQ9AEUG5tRi82fIVQfLjQCO6dQ96RyOiNpAeiNCbdXTasjr79UzsTqMs9D7Ucq9l6XPNVCBDbClGbCww7xUvtLizs7avvfzODftxEi8e+bLlKIAZFRMBOmfMNU2XpWd0yYQ/B5CnmgJUj1qWFmHgwI9YPAiEtpd9N37fEuNrxOtabKv0MhlWRCeBtIIz1Iw4NG6sBzUjiDK+nd5Omnb6eiNJdl+q9e10hdZVjAU6+RjqIlGUVZpVUrGEbubRDw1UtdGdu36xEW75H3mYuFEyLmTIPOdJkbc1/Qom1HSM1pTGpZ0NwSo4n3SWVwBxINja9r1nundz+3HcPLj2zvXQocNcmRY4Z1KMqyMelAZUSKWAliAri6dRAYgcarF7k9a3fU3fk7qQ0s6nq28iWV111OyXsFl5WkS7p6ySQlytypIrzNclo9wxdLppppuQTSX8ExWEhcx2/q665pi53SFlDFJAOQcWPD1MCGA8OIubVCPcfZcmwd1y6AZGlw2jE2O7W62hclQHtYF43VkZgAGsrWHVYTy+ltsyhz+t+y3T/AGfd4evNdvRD9/reOtxWI1xZxZas/rF3SjAkF2jd5Mt3aUfImYe8RRcPJVHgxVjFxreeHkxZeHr2HGzNAwEhW/V7rBkva5At1L1W4cj4VKvYzWtKy9G1rt5reVHCmoRs2OstvLJkiaKYL1EAuCI5PLuC3Fl49RqZ8b1noGmPpudq+utY3Wx3jLQNOvlwuko1WgEwrlwd1dlZkowsTBvJFSBbHXrib5Fu8cLuxFYypjiBy8Y8+sZWobtwtWmxzjRtIioPe95eore5Av8AS6SQAOFrVJMGytJ232a17Z+Dqa6pkQ4080zAoPLmMQkC9KFvLF4w4V2Z+JYniK6zKSgKpJKh8FEyKB+o5QMH8+TARY2qk6nqUN6RXsYhDCUTFKYSGA5BMUBEhwAQAxeQ/CYAH4h64vWpAPOvbNKUxSmKVJ7SyonqLtIR5BtPPQD9AOEGq3AfoEQEc8c/94PhLB30wM4CzZe2MQk+nyJsiLj8lh8lez/+7tzWyOwufgEkjE3TlgeoTwY0vD5bn2mtmSocxkiUAERMxdFAA+IiZA4AAfpERyimXf8ACS25+W37hq+OPwyE/TH7tdtvXTI0br6iRxw4OwptYZHAfQQM1hGKBg/kFPPbzauOcTbGm4rcGiwMdD+9iQf1K85dblE+s5cw5PlSt87sazLO+rrKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFK6E1tQUbXbYDdUBKqjsXYaShTBwYDkus8UwG/SAh65ZjHIONERy8pP4i15T6gpTU8tG+kMzIB/wCmeuBz61xKYpTFKuv+mc2Naemn1CaMgAnfLwsy5bIk9VFBntOSbJjwT7lX0EoQPv4HI83efJ3BpeSfohgD+9lBP5GqzHZRDnduN3aWnGUxuQP75hsq/OyEVEv6TSwOO8GlFy/srU3Zixfs9FNevjh6D6h6Dnd74FtvZA/ukf8AHFR/2Cbr7naYw5HGyT//AE7VZlfTG/8AlD+smTn8P+PbeY+P2cqa01eRQRD4CJyFAB/QAZiOIP8Ax3QP82h/nJKmzVSf9X3cYeH7Vzf/AIbGqP8A9ZL9jp3/AJN7r/sGus7PYP8A1/8Avyf8esS+I3lt3/M5v3MeqX4qVSgJuuWJwQyjat2isWV2mmAmUUZ12wRs07ImUvJjKHbMTAUA9RNwGSC8ZljeIfSdGUe1lIH5TVbYJ1xMqHMYXSGeKQ+yORXNvXZTVzP1n6w9m7t1537BqJS+tbvrRamRc+y8lmn5qV+7vkCKipSe2RCyVuacLtTCb8fySgB68cx/2/mWPHytMluuXHN1lTztYI38FgAfaKsf8SODJk6npG68UiTRsrCMKyLxHV1GePj6JI3ZlPj0GqWckKq1145VKZNVBY7Zy3Xbu2jpIAFVo9ZrpumTtIDfhFVq6RIoXn08ihmvDkeIPAj0g8x8orW7AhkJV1III5gg3BHrBAPyVfBrzvJ1o7xzWutG9yut8UN8tL5jSKfsuEBGWiwtMyJkWCUfMNvyi/66GafgHgVBR2zK7OmCinjwYIzytuavtyOXUtAy2/DIC7Rngekc7jiklh6bG17CrUaP3P2V3PyMPbHcbRo/2rOywxZCWdfNfgoVx0T4/W3LpLp1kXa3Gqre4fXpr1p7CX7SyUivZa1EhC2SnyMuVBeSXqdmanfwzWbORJNBzNQbhFwzVcFTTBz8uVfxIZQShmug6qdY0uLUCAkrXVwOXUpsbeoixA8L28KgnuLtGPZe7svbauZsKPokiZ7FjFIOpA/CxdCGQtYdXSGsLkCxXoaihQ/pq9/r2ogk0jJn+P4tqYhCIJLumOpYiEV8fACgY5n82VMR+ImDjMU3MTk7u0zGvd16D8nmk/uC9TB2rVdK7L7s1UgLBJ56jhYErioh/snt7apXbp+0ggl/qSKaf/iEKX/vZIRNyTVakHSgX0AV9s0rdTFKYpTFKkzpMohV5U4h6KT6niP+tsWxTf6Y55Af7w+VX7y6JCPpxbXS/wC/zMhh+QV7I/7uWJ07K65O30Jd0v0/vMPHVvymt+VaAcWu206qtExWc2e4VWvppFARMoEvPx7FYCgHqIggsYf1BlIdF02XWtcwNGgBaXMzseEAePmzIh/ISavfqGYmnadk6jIbJBjSyE/oRsw/KBXbfTTIimmkkUCJpEKmmQocFIQhQKQpQ+wClDgM9vkVUUIgsgFgPQByrzjZizFm4sTc175urSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSujv2drn8H9mexNV4MBYbdexAR8igUTNZawu7AyPwHoBVGUumYP0CGWM0aXz9HxZvtY6fOFCn8orzE3vh/s7eusYHhHqWRb2PIZF/sXFaQzsaxemKUxSrZfo57KYVjspcNWzSgDFbt1u6YsWi3j8o6stDcOZlJosU4gU6j+rSspwHqJgb8Zg+/sRptIjzY/p48oJPoV+F/kYL89T98OutRYW88jQsk/canhFVB5GSAl7H9KJ5f4Nfg6NaukdI/VXb6hk0lE1dfym84WPOdIyJXdaXpklLVCRQKcAMZu/qkkzUKb4CIiHxAc13HmrqOy/wAenKVYSfU3WAw+Rga+XbDQ5dsd+F29MCGxHzUXha8ZhZ4WHqaJkPz1NW+/5ov1k/8ALtvD/s21jnQYn/nugf5tF/OSVJWq/wCz7uN/pXN/+Hxq0D9ZL9jp3/k3uv8AsGus7PYP/X/78n/HrE/iN5bd/wAzm/cx6pSyQ6rTV4vU17S+7PRGb6LWPYjCm7o11Jkk9YL2JMj8XMBC2ILPQ5CJaLOGjubhoYqysBIoNVQdsmZSmD8CiQGjjXEyNu7kXckURk0+UWk6eHvFelwTxAJ4OpIsT6was/sGXTe5fayXtfmZiY25MN+rGMnvXRJPNgZASC6JcwSKp60TjyK3qr7E9edg9XtmuNUbLXrj2fTgoyzMZWpyDiQg5aCl3EgzZvUPnmrGSYL/ADkS4TUbuUSKE8AMAnIcphzbStVxdZwxnYYcRdRUhhYhhYkcCQeBHEGoH3htDVtj62dB1owtliJZFaJiyPG5YBh1BWU3VgVYAi1+IINaOzsaxervOsGsOtfTHrZrfv8A7zSmNmbHvTRg+0/UGEYVwyq09Y4+UWgoWtNFzBH/AMWrRLNdR9YJJQiLBL3StSp+IC4jrWczV9f1eba+ndMOJGSJWJ4sqkXLePTe1kXixte/hZzZGibL7cbLwu7O6BJm6zlKrYkSrcRPIrFEjB93zSgYvPIQEHUEAt79TfYHeFo7BbYvW7r8mxjpa0LIKhFRxzLRtXrEExIxga8zcGSRVepREY38lnBiEM6dKLLeJfMChm+l6bDpeDHp2Lcog5nmzE3ZiPC55DwFhUB7u3Pnbt1/K3NqoRMicj3V4rFGi9KRg2Fwiji1gWYs1he1Wv7rZH6vfSM1Pp6STJGbB7JT8VM2OJUNy6K2sssbatqIoHjykMTW4+Pi1wH1KoqBPt4zCdPYazvmfPT3sXEUhT+iPLX52LMPZU97ljbY3w/YG3ZrJq+szK8innaR/wAVL7OmNY4j6CbVSRkiVWSmKUxSmKV4MYCh5GECl+8wgAf6I+mb445JnEcSs0h5AAk/MONbJJI4U8yZlSMeJIA+c8KlbqBqLejtVTAJRfSks7DkBDyS95NBI4APHoYqA8D8BD4Z4nfHdq6an8R+bhxMrJp2i6bjGxB6ZPKeaRSRcXUzAEcwbggEV7i/APo76X8NWFmSqyvqWt6nlC4I6o/NSCJgCAbMITY8iOIJBqV/Xy4UrXm6qBf9hkmFKtSpF7YjoQEd+ayjqaaxjxvX26LIVm5BSLJOyrHUMcpSAiHr68hXrtdru3trdwNM3Punzzo+nyvOVhTzJGlWNlhUJdRYSMHJJAHR67i0e8tM1XWtrZmj6KYhqGUix3kboQIWBkJax49IKgAceqrZHv1TdMJKCWP17tZ+n/RVUj6sw5D7xTXtBlC8/pDLs5HxlbARrYul61KnpKY6fkOReq6xfD/uhhebN05D6A0rfuRV5ZfVN0uqoBZHX21o9Pn8SqUdV5DgPtEE29oKceA/RjH+MrYDtbK0zWok9ITHf8i5F6S/D9ugLeHN0529BaVfymKtlV36jvVudVKk+s1mqRjccqWqlzzRsQR+w7yMbSzMgB9oip4h9+ZdpXxW9m9RfoyMzLwT6cnFmVR7WjWRR7b29ddFm9kd/wCIvVFBj5P96njJ/guUb8lSgo259S7MTTUoOx6ZbDKAIlaw1gjnUgUA+PuRgLhII8f16RcmHbu/tk7uQPtnVcDNJ+rFNGz/ACx9XWPlUVgWrbX3HoTFdYwcrGA8XjYL8jW6T8hrZuZdXQ0xSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSupT9WLXqtF7p2+YI2K2i9p02mX+PEv7Lh+2ZK0ywmD4/vCu6yiocPs98B+Ahk47Iyhk7ejjJu8EjofZfrX8jEfJVAe/mkNpfcrIyAtoM7GhnX1sAYZPyxgn9Kq3syyoapilMUrKqHdbFrS9UvZFQdkY2ug2eIttfcrJis2/MYhyC3yj1EDFFeNlWhlWjonICds4UKHqOfHKx4szGkxJxeCVCrewjmPWDYj1gV2Glall6LquNrOnsFz8SdJYyeI6kN7EeKsLow8VYirauq3Y6U7WfVQ1Vt+YpEBQX62sLtVTw8A9cSnziUBR7EsnKy8u5aMFZGSVPJnRIPsJlRaIop/iEomHBda0lNE2ZNgRyNKvnI12FrdTrwAubDhfnxJJqftibyn3531wNw5GLFiSnBmi6IyWuI4ZD1O5ClmPUQPdFkCrxtepL33/NF+sn/AJdt4f8AZtrHOpxP/PdA/wA2i/nJKzXVf9n3cb/Sub/8PjVoH6yX7HTv/Jvdf9g11nZ7B/6//fk/49Yn8RvLbv8Amc37mPVKWSHVaKnd9M7WSezu7GnwdtDuY3WpbLtl6sUnkVo4rEUMZAGOfj917tksLQQ+HkCYhmNbwy/we3Z+k2ebpiHsY3b+xU1KnZTRRrfcvThIpMGEJMon0GJemP2feSJ81YZ362P/AI1O5O+7KksmvHQtrS1xCKoqe6geK1yxRrip0DAJiiRafQfq8gPAmUEftzkbYxPwWgY0J4OyeYfbIer+L0iut7saz+3e42q5qkGGOcY6EcR046iM29sgkPy1+jp50tv3cix2hjXrJGa/o1CLFDetgyzFSUPHrTJXCzSFrUOCzRvK2MI5so7UFyuizaIe0ZUTCsmmfTXtw4ugRI0qNLky36EBte3MseNlvw4Akm9uRI39uu2uq9xs2eLEmTE0vE6PPndS3SXuQkaXAaTpBc9TBEHSWv1AGUn1GN26Ubay0T0t69WFG7UzQ3yDm1W9m+RmI0JSu195WK/XG8824ZTc6f8AM3chKqNOWrY4opAbzOdNHptqadqLZmTuDVU8vIyb9KEWNmYMzWPEDgFW/E8T6Cc57xbm2zHoml9ttozDJ03SukyzBg69UcZijjDj3Xk955JSvuqelQbkqsdvp/dV3vanf8NGSscqtqbWbqKum2ZAyRxYu0G7gzura/8AeASFM/ukky5cJgYDEiG7kwhydLy7TdGtLoumM6H/AB6YFIh48rM/sQHh+cR6DWIdpdiSb63ZFDkIToGEyzZTcekgG8UF/tTMvvDwiVz4rfIfqUdmGnZHshIpVZ+R7q/TbZ/rqjLtVfOPnJYj0il9tzT21VWyzWRmmKUe0WJwVVnGEVL+Fb1+e0dHbSNJBnFszIIkf0gW9xT6wCWI8C1vCuX3o3rHvLeTrgt1aJpytjwEH3Xa955RxIIZwI0I5pEGHBqgBmT1EtMUoACYxCFKY51DARNNMplFFDmHgpE0yAY6hzD8AKAiOGKpE88rJHjRIXkd2VI40HN5HchEQeLOwUeJrVVeSWPHiV5MmVwkaIrPJI7fRSONAzyOfBEVmPgK2xXNQz8qCbmaVCusj+JgRVTBxMqpj8BKz8gRZ8h8BWN5cD+zlIO7Hx3dsNkSS6P27hO7NxRkqZY5DBpUTjgQ2V0mXKsbgjETouLedbjV6u0fwDd0t8Rxa13InG0dtyAMIpEE+rSoeN1xOoRYlxxBy5Ouxv5N+FbthNeVCA8FG0Sk9dk9fn5cQkHPl6cmTIqX5VAB4+BU/T7888u4vxUd9+5vmY2sa5Np2hSX/wAS0sHBx+nwV3ib8TMRy6pJz1eKivRjtx8KXYPteY8rRdBh1HXo7f49qhGfkdXi0aSr+GhBPELFAOnwas09PsAAAAAAAoAUoAAcABSlAClAA+wPTK98eJJJYkkkkkknmSxJJJ8SSSfE1YgnkAAFAAAACgAcgFAAAHgAAB4Cma1pTFKYpTFK+XsJe+R0UntO0h5ReIiZB4gYPgZB2iJHCBw+wSGAQzZ5aeYJgLTjkw4MPWGFmB9YIrd1t0GMm8Z5qeKn2g8D8oqTWt+4XZDVgNmsBsl/PwjYyIFrt/S/jCOFuiP+CIP3yqdjYIqF9P3L4vj9gfZkv7T77919mhIdN1aXK09CPuM0fio+kfVDuROgP5swt4DwrBNc7a7H3AWkzMFIcpr/AHuOfJa58SqgxMR+dH8tWdaS+pXrW5qMoHcEWOqLEuKaBJ4XJ5XXr5wcQKHM0KST6uCooYAAr9EqAD/6QOW/7e/FrtLX2j03fMJ0XVGsBN1GTCdjw/W2DwXNgBMoT+6moG3V2M1zS1bM21J+0cIXPl26MlR+hcrLb+5t1fmVZMzes5Fo2fx7ts+YvUEnTN6zXSdNHbZcgKIuGzlAx0V0FkzAYpyiJTAPIDxlsoMiDKhTJxXSTGkUMrqQyspFwysCQQRxBBIIqDZYpYJGhmVkmUkMrAggjgQQeIIPMGv059a2UxSmKUxSmKUxSmKUxSmKUxSmKVSP9a/Tas/qvWO9YpmCjzV9pXqdpWRQMdcKbsQWbRq5cKl/Cm0i7lGx5eTehQenH78kTt5niLOm01z7sydS/ppc/OVLfNVZviX24cvQcLdMC3kwZzFKQOPk5FgCT6FmWP2dZrrgD6emSzVNaYpTFKYpVg/0q/8APw1F+mtbW/6CSQ/zBmK71/8Abc/6cf8AHFS52I/2qaf/AHjK/mGqyS+/5ov1k/8ALtvD/s21jmJ4n/nugf5tF/OSVM+q/wCz7uN/pXN/+Hxq0B9ZIQ8enYc+v+Le6jx9vHs669f1Z2mwf+v/AN+T/j1ifxG8tu/5nN+5j1SnkhVWirc/otT0RFdqL/DSDlFCTtmknqFeTUHhR6tX7hAyUu1b8/FQrFyRYS/ESImH+jmC9wYnfRopEF0TIHV6upCAfn4fLVg/hsyseDfWXjTMBPkaYwjHiTHMjOB+9IPsB9Ffu179K6Umml4212f3hCaFoqOytkpuWaiUYSxuEGWwrCxTk5e02162rMEjZ00fnGQEbPlVWy6RwHlTxLtyt6JG0eDo2M2TkmGOx49PFFNgqgs3TyPFRcH0V9dI7FT5SZWv741OPStLGbkAg9PmEDIkUM8spEaCS3WllclWU+Nh9uw3ajrDpLrHOdOOi0lLWVje3EkTZ23Tu5NymtGzhkUrYKFqeIRytrttrjGhYoVWSJY2PjOQTEolRTDTStF1jUdYXX9yBUaMDy4uA4r9H3RfpVSeqxPUzc/E1u3fvrZO2dky9uu1zyTRZRYZOXdjdXsJbSkKZZZVHlXQeXHHe1rKKrz609XdrdpbqjQdRQaaMXFKtELhe3zRUlG1vGKfBSVXQBJJ9NGbEMLKGbG+acmKAm9lADrFyrV9awtGxzk5zXdr9KA+/IfV6Bfm54DwueFRDsvY2vb61MaVt+ICBCBLOR9xjr+cRYF7fQhU9TePSl2FoPa7fGsOlGk3HQ3qVKKOLy+Qco732u2cIqTcM6mWyRLKV3LM/FNbatvbFKgYqQ+Fci/EhATVK1InhuiaZmbh1Ebm1wWxh+pj8CAfdsD/ACac+P029I6rzhv3dWh9s9sntXsCQnVGBGdlAguhcDzLuOeVKPdsOGPFYDpbywKQEkk0Ek0EUypIopkSSSIHiRNJMoETTIH2FIQoAH6AyRiSTc86rGAFAVRZQLAeoV75pSsgrdYmLW+FjEIFMCXgZ8/cCYjCOSP8FHSwAIioYP2EicqKD8A49ci7u33k2D2R22Nx77yWV5+pcPCh6Xzc+ReaY0RIART+tyZSsEI+kxayGVuz/ZbuD3z3MdtbCxlaODpbMzZ+pMLAibk+TKASXYfqsaLqyJjwVQt3EpqnRIKokKq1TF9LiQCrTbshRdev7abFL1JHN+fgBP3g/wBIw54w98PiV7k99slsPW5RpuxFe8OkYrsMew+i+ZJ7r589ubS2hU8IoVABr2w7F/DL2z7B4yZmhRHU9+tHabWMpF/E3P0kwo/eTAgvyWK87CxlmYkisz/7vvyv3ACw5VYUkk3PEmma1pTFKYpTFKYpTFKYpTFKCACAgIcgIcCH2CA/EB/QOKDhxFSL6/dpdq9cn6CVVf8A8QUM7j3ZbWc87XGAXTOIA4XrbrxXXqMsYvqU7cpmihwD3kD/ALQSt2w7y7z7VZSx6NJ+K22XvJgTMfJIP0jA3E40luRQGJiB5kbcxhW8tgbe3tCW1FPJ1cLZMqNR5g9AlHATJ6m98C/S45Vf9oXsRrfsRVhsNGkjJyLD2UbPUZT2m1nqj9UomK2lWJVDgdsv4iLZ2iZRq6IAimcRA5S+mvbbultTulo37U27KRlR2GRjSWXIxnP1ZEubqeaSoWjkHFWJDAU63fsrXNlah+C1ZLwvcxTJcxTKPFGsOI+sjWdD9IcQTvXJHrEqYpTFKYpTFKYpTFKYpTFKYpWt9w6vrm6tWX/U1tS92vbAq0vWJEwEBRVoEk1Ok2k2pRMQAexLz23SA8h4rIlH7M5eBmS6fmxZ0H62Jww9djyPqI4H1Gum3FoeHuXQsvQNQF8PLgeNvSOoWDD85DZl9YFdHi8UW2auutu1pe2KkdcqFYJCr2FuomZIqzyOU8UJZmAgAKxVgjzov2aheSKtHKZgEecsZjZMGbjR5mMb48qhl9h8D61N1PoINeYmqaVn6FqeRouqKU1HEmaKQEWuVPBx6VkW0iHkUYEVi+fauBTFKYpVz/05ahr/AEDoLcX1ENjwj+1TFKUn6NqStRwAEmooRWPrL5rAkV5bmtGy7rLoQTdY4GBs2S9OCrK8x9uyfK1TU8fauIwRJOl5WPLxYE/mxoC5HifYKsl2d0/Sdp7T1Hu/rMTz5GMXgxI1+lzWMhL8PNyZnWBSfoqPQzVYNWuuM1LdeOwOid67d1vROw3eyW2Nsx9Va8uwcpUeVttbgIpxW6bCy022m9iMKMxgUCPn6RUiuFfcUACEEphxeXVo01TF1LTYJpdL01Y4wzX98KzHqYgWjLljZTy4VLuHs7JyNo6ttbdGoYeLu7dMmRkmKMqfJaWNFMcKM4fIWBY1DuLBj1HgLEx43/R33b3qVtqG2RUomq9wOhD2Xh5c9bcuD16wNYerRNsNJVtZ6kk5X19uvWybd+1bOCA5jpRIiYiJmphV7XS8ldC1yCTEdn0LUwCOr6S3YrZrcOuGS6kjgy8frcMP3bpcncLYOoY2s48cHcPajOj+WT5cgSJZeqMkAnHzMcK6Kw6o5QBzQ9VL2qeq/YvelJkdjaf1NPX6mxcmeFXlomQrrRR1KoooLu2cTHzMzGvZY7BN0n8wZAhiJnN4ciYDAEg5utaTpuQMTPnWLIIvYhjYekkAgX8L86rZoOxN47o0x9Y27p8uXpqP0F0aMXYAEhVd1L9Nx1FbgE253FZ1Q+v/AHq1Bf6psWh9dt7169UmZTmK9Jpa9k5Fn8ymmq1dx8iRmqdpJQc1HOFmj1uKoFXarnLyU3iYONk6ptvPxXxMnKxnxpFsw6wDb0i/EEGxB8CBXa6TtLult7V8fWNK0fVYdUxpA8bCBmF7EFW6TZkdSUdb2ZSRw4GrguzD3tD316uV7UjfpxsfWW0171S7LbFdkSlOrmtIlCoulXzqUg56RnFrLJllHXiVq0GJK7blOIq8+2AqYHo66NtnWXzjnwzYXluq+WHaQ9XAAqB0iw5nqsfDnwsPvWTfHdXY0O3025mYWunKhkl/ENDHjIIiWLI7OZG6jbpTyutb+9y96OVa+lvqXR8QhsXvh2PqdUrLUpHR6JTJZavt5QQBMwxji3SZErbYFSrGAh20HHNl1Q5Aqoh65202887UXOLtrEd5j9dx1W9fSPdX2uxHqrDsLsZoG2Mcax3T1nHgwl4+RC5jDfmmVgJZOPArDGrHwasH3v8AUuiICkBoLoXSCaI1PHIrR59goRCUBbpJBVMqLpSkQIgo4rS70QEyk5JmVmVh4UIkirwtnI03aEkuT+09zSfic0m/RfqUfpn61vsL7g5XI4V1e6u9WPiaZ/RTtVjDStBQFfxAQRysOR8lOcZbxmlJmPAhVb3qqJKUC+Y8nOZRVZdZVVVVddw5cKmXcunLhc6i7p26XUMoqqoYyiqhhMYwmERzO/8Ah/8AR7B4VXz0niSSSSSSSSbkkniSTxJJJJ4k3r2zSlZjTaZIXGQO3RMLONZiQ0rKCXyK2If1I2alH8DiRcF58Cc8ED8ZvTgBgf4gO/8AtjsDtZNT1FFz9456uNN04N0nIZeDZGSw96HAgawllt1St9zDdySs/wDw8/D1un4g91vpmmu2n7L09kOp6kU6lx1fiuNjKfdnz51uYor9ESffz2jADy3iIiNgY9CKiGpWjFv6lTAfJRZUwACjp2sIAdy7WEOTHN6/YHAAAZ4Zb43zu3uXunJ3rvrMfP3JlcGcjpjijB9zHxoh7uPjRDhHCnAfSYs5Zj7v7F2JtDtltTG2PsPCTT9s4lysYPVJLK36zJyZT72RlSnjJM/E/RQIgVRyOYrWWUxSmKUxSmKUxSmKUxSmKUxSmKUxSstod9uWrrdF3vX84vXbVDm4bvEgFVm/ZHOU7mFnWHmRKXgn/gALN1B9B4OmYipSnL3m2tza9s7XIdybYyWxdZg+iw4q6E3aKZLgSwvb3kb9JSrgMOu1fSNM1/TZNI1mET6fLzU8CreDxtzSRfBh7GBUkHsX9W+z9V7J0079qkjAX2vEbN71SjOPeWiXi4GBGVilTgRWRrEuZM5mjnxASiBkVQKqmYM9VOzneDRu7OgnKhVcbcmKFXLxC1zGx5SRk2L48tiY3tcWKPZ1Iqk/cDYOobG1MRSEzaPMSYJ7WDgc0ccllS4Dr48GW6kVKLJirAaYpTFKYpTFKYpTFKYpTFKYpXXL+s7QdQHt9L2vV79R0txe0jR9ia1bTketb7FWm4qL1y2/kjMyrxB7UF11WzlR17QLRzkviIi1IQ0r9v8AJz/IkwpopPwH00kselW+stzws3Ai3Jh+cap38R+k7eOfja9g5eKNxWEORjB1MskY4xy9AuwMJJVi1rxsLfqwDR5kjVWCmKUxSrwOiRGfZ7olu/pxA2OLre6qNZjbP1yrMFEzFVQtxhdkUKwrNUj/ADTyBjdkQwxsuKZDmboqpiIcrpAaOdy9Wjbkx9flQvp8qeXJbn9Axuv6RjPUvpN/Qas92sEW9+1up9ucWaOHcuLN+Jx+v6J++TJgkI5lFyE8uWwJVSp+soMlrFvfrDatr6o3X2d6z9h6V3Q0dEu4CC15D6r2tePmJp182UxaFN0hjIa32NA/mEk7WhZFZ2kCabwx1vaNyCfURabrMOFPp+j5mLJt/JbqLmSJOAt9MORJGbAB1A8OF/HNczdOyM7XsDcu99F1fG7kaXGY0x0xcqe7m/6h4VbHyE6mYwyFxYOS3SeXxv1wtegesfcbs/vqHa0PcXcqRJB6+0u4kWj+ZqkQWgp6x1PTJl1HCszf2+NrZHVgsJm5jtmXmsiBx9j11xYIdU1jA0fTGMmBp4u8oBAY9fmSOL8lLWRL8TwPjW3V9Rztp7J3FvfdMa4u4txv0Y+GWDPEvkfhsWFytw0qx9U+QVJVLst/dqiLSXZ3sL1zjhhdMbYsNMgVHISDqtFaws5WHkoLVsyWlFYKwxko0RfumzNIiyiHsmVBMon8hKA5JWo6NpWrP5moQLJLa3VcqwFybdSkGwJNgb2qrG2d77u2dD+G23nzY2IW6jHZHiLWClikisAxAFytr2F7kVKdD6svepFL2j7A186NxwDhxqqFBf8AQIg1kGrcTf8A4YB+jOmOyNtk3EUo/wCcP9UVnK9/e6Kr0nLw2PpOKl/yMB+Ste3H6j3d+8NxayO/JevNzAIGJr+t1SlqiUfiASLGIcTKY/pK6KYPsHOVj7T27jHqTGVz+ezP+Qm35K6nUe8nc3VE8ubVZIU/+7xxQn+EqF/7K9Q2nJeZtMytY7VOTtrsTgxzrT9pmpSxzRxUHlQAk5l09eJpnH4kIcpPuDO/ijjgj8qBVSIfVUBR8wAFRxlZGTnZJzM+WWfMPOSV2kf+E5Y/IDavwZur5UxWlc1XoF/ZpdrDRwAVZwInXcnKJkWDJLgXL5f/AMmiUfwh8TnEpQ+OR/3T7m7Z7PbEze4G6yXwMQBIYFIEuZlyXGPhw3+vMwu78ooVklbgnGRO1Ha7c/ebf2D282kAmoZZLzZDKWiwsSOxyMya31IVNkTnLM0cS8X4TMhYePr8W1h4tIUmbQogAn4FZyufgV3ro4f2x05P+Iw/Z6FD0AM/P/v/AH7unujvHN37vScT7gznFwtxFjwrcQ4mMp/V42OnuRqOLHqke7uxr9C3b/t/tPtXszB2BsiAwbdwEIBaxlyJn4z5eSw/WZOQ/vyMbhR0xpaNFA5PMQrMKYpTFKYpTFKYpWwtW6rvO57owoOvIkkrPPUF37hV04+SiISHZmRI9m5yQ9tYGce3UcJpl8SHVWXUIkmQxzcBlOzNmbi3/r8e2trwCbUpFZ2LHoiiiWweWZ7HoRSVUWBZ3ZURSxrptf3BpO19LfWNakMeGhCgAdTu7X6UjXh1MQCTxAVQWYgCt7b36U7j6/VM18sT2q2ynMzoJ2GZqi0kkerfMrJtm7uXYS7VsqaHUcqlTM7SOYETGKKhCFHyCSO5Hw+b87Y6IdyapJh52hRkCaXGMgOP1EKrSpKqnyixCmRSQpI61UG4xHaPdPbO8tS/ZGEuRjamwJjSYKfNsCSqMhI6wASEI94A9JJ4VERNVNYoHSUIqQfgdMxTlH9RiiIDkGK6uOpCCvpHGpIZWU2YEH1175urSmKUxSmKUxSs51nsq4aevUDseiPStLDALCBmy51Cxlhh1zpjKVedTSEDLw8ukmBTf026xU10uFUijmR7Q3bruxNx4269uSdGqYzfRJPlzREjzMeYDnFKBY+KMFkSzoDXU67oembl0mbRNXXqwphzH0o3H0JYyeTofkZbo3usa7N+ldv1XemuK/sioKmBhMInSfxbg6ZpGuzrMQRmK9LET9E5CKdgJBHgCqpiRUnKahDD699v99aL3G2ri7r0MkY06kPGxHmQTLwlgkA5PG3A+DL0ut1ZSaH7p21qO0tbm0PUh99Ebqw+jJG3FJE9KuOPpBup94EVtbM0rHqYpTFKYpTFKYpTFKiX2h7q6K6nQ5Fti2E0jcZFqo4rWsquCErerD4iBCLkjPfSRhof3TcHkJBRszKAGADnOHgPeaNt7UtbktiJbHB96RuCL8vifzVufVbjWAb47lbW2Dj9WsTdeout48aKzTyevpuAiX5ySFU52JPCuuh2P+p92Z36tIQ9emj6L1w595BOqa+kVi2ySYK+8n7dq2KCTaWVUWbLeCyESSObjxwIqh+IZW0nZukaYBJKv4nLH1nHug/mpy9hbqPsqnu8u9+9d1s+NhyfsvRmuPKx2PmsvH9bkWD8QbFYhGv6XOq5iIppqLqlLyu6UFZ24OYyrp4ubkTLvHSpjuHbg4jyZRQxjmH4iOZYTcAHkOXq9noqHAoBLfWY3J5kn0kniT6zc19c0rWmK1ryBTD8AEf1AI/zZ9Eill4RqzH1An9yvhNk4+OL5EiIPzmC/ukVk1NuNy11aoW80CyzdMudcXUcQllr7oWcmwMun7DtATGIq3eR0g35SdNHCarZykPiomYOONmRpxyYWxcuDrhYe8rKberhzBHgRYg8jXI0zcbaRnRato+b+H1CI3jljcAi4sRfiGVhwZWBVhwINWcwv1le3kZXyRElWtL2aYIiKQW5/WrNGPzHEvBXLmEh7M3hVlij6iCYN0xH+gAemYe/bbTJZeuIZax/YFmHzlSf3amyD4oN4Y2J+Hyjo8uRa3muHRvaUWUIT7OkH0VX7uvfO4OxNuTu+5rm+ts20QWZwzMG6MVWquxce2LhjVq2zArCISdCiQV1f3rtyJQ95ZTgOMkwdIxNGh/DYcPlITc3v1MfSzHibeA4AeAFRduDeWtb3zxquuZn4vIUEIFKiKJTzWKNfdQGw6jxdre8xrUOcuuipilMUpilMUrwIgUBMPoBQERH9Aeo+geo5vjjeWRYoxeRiAB6zwFbZJEijaWQ2RQST6hxP/1VLPWVT/hqBK6dpeM1OkSdvxMH42rPgFGEaH2l9tM3uKh9qpv63PDz4we957vdzX0bQ5uvt5tuSXFw+k+5k5V+jN1Aj63mOv4fHJ4rjx3H60mvdj4N+xg7OdrU1rXYejuNuaOLKzeoe/i4luvB04fZ8tG/EZAHBsiWx/VC2xTiYAACFA5znTSTKJvADKKqFSTATiA+JROcOR4HgMqeT6OJJAHtJsOPhxPOragAnjwFifmF63fv/Rc/15vLCiWKeh7I8kKrF2pGShG7to0KjIupBgqxUbvTHXBVq7jFPFTnxVSOQ3iQ3kQJD7nduNT7W7ji23quTBlzy4UeSJIlZVs7OhQq9zdWjNmvZlKmym6jFNnbtw96aS+r4UMsESZDxFZCpN1CsGBXhYhhceBBFyLE6SyPayqmKVlNMo112PPJ1fX9VmbjYVGyj00XCNyKqtmCRyJKyD9y4VbsY5iRVUpPdXVTIY5gKURMPGd1t/be4N2akNH2xhT52qFC/lxKCVQEAu7EqiICQOp2UEkAXPCuv1PVtK0TEOfrORFi4Qbp63NgWPEKoALM1gTZQSALmwr422nW6gT7uq3qtS9SsjFNFZzDTTcEHQNnPmLZ63USOs0fMXPtm9tdBRVIwlMHl5FEA+euaDrm2dTfRtx4k+Dq0YBaKVelulr9LqQSro1j0ujMpsRe4IG/TtT03WMNdQ0meLJwXJAdDcXHNTexVh4qwB4g2sQaxzOprm1NPolvClaQ23PrbBdfk1av9Vb1k1rEhzIVqUjpJSQj1ZNVIqizSIkyuVUjuAKJEFyIip4piY5LA/Dd3D29283vlSbof8PpOp4S4/4mxtBIkhdDIRcrFJ1Mpe1kcIWspLLF3dvamqbr25CujL5ufh5Bl8nxlRlCsFvwLrYELzZS3Tc2BmQ02r156Y6rt9Xhdnv+1UxsS4PrMjS5G1w1lL+XWAWyT5KVkEUJeGh4dvHomVcqOSHWknp/RHlQwpz3DvTtd2D2ZnaPgaxJvPO1XOfIXFfJinHRN0hxI4EsUUQQFpGkBaeU8Eux6Yyk29vTufuHG1DKwE29jYWMsRnWJ4vejuVKKSju5YgKFIWJB9L3RfTf+Pj6fe2TmR2f13ktWybz9z/EdbhkE0mYqcid0aX1w8ZyaftiPPkoxOX7wzAv9ZPww73by94bWl0bMfh58EQAW/1vMwWWQW53aEj0isn/AKId5Nujq0HWo9QgXj5crklvV0ZKlTf0CQGvxz/Qmo7DgHF16j7pgtjxJSip/CVllmLh2l+E3tskbRGIpOI58ochgKjLMSG4D8SpQ9c+GqfDToW6dMbcHZDcGNquEBf8NPIjMPQgyIwGjc2NlyYQfS4519MPu/qWi5g0ruPpc2Dk8vOiRgD+cYmJDL+dDIR6FPKq9LZUrXQrC8qN5rcvUbPHh5uYScai2dCgI8EeslSmUaSkat6Cm5aqLIHAQ4Nz6ZVvW9D1rbOqyaHuLEnwdXi4tFMvS3T4Oh4rJGfCSNmQ/avUz6dqOn6vhLqWkzx5OA/J4zcX+yw5o48UYBh6Kx/OrrmUxSmKUxSpqdFuwSmkduNq7OvvY1ttR7HwNgKsoBWkDbVBKxq1rAVDFTbJOFlCRr83IAZBVFU/INgywfw490H7fb4TStSk6dp6zIkM1z7sOSfcx8njwUMSIJjyKNG7fqhUXd2tmruvbbZuIl9c09Gkjtzkh+lLD6SQLyxj7QZR9OuxVnqfVKaYpTFKYpTFKYpVK3fj6pTHVL2a0r1seRdj2myUXjLpsZVJCWqWsXZQ8F4eJbmE7O2X9sI/vUDeUfFm4ByKq3k1LIO2dmPmquoauCmEeKR8mkHpPiqev6TeFh71Vr7rd84tBkl23sxkm11SVmyCA0WMfFEHKWceI4xxH6fU10HXCmpmbs05L2i0TcxaLTYXh5CwWaxSDiWnpt+oIiZ1JSTox11zB5cEIHikiX8CZCEAChLUccUMawwqqQqLKqiygegAf/WfGqb5OTlZuVJnZ0sk+dM3VJJIxZ3b0sx4n1DkBwAA4Vx2bq+FeDGKmQyihyJJl9TKKGKRMoB6+pzCBQz4ZmViadhyajqU0ONp0Qu8srrHEv6TuQoPqvc+ANc3StM1TXtWh0Db+Jlahr+SwEWNiwyZGRISbe5DEryEX4FunpX6xArHXdojkOStiqvzgHoZP9035/15QOTh/YlHK4bt+KntzoRbG22mTructx1QjyMS/p/ESjqkX0+VEfU1egPa7/do9/t6pHqPcGbTtl6M9j5eWTmamV5kfgcV+jHe3L8Tkr60FY84tMoryCIN2hB/1NP3VA+796sI8D+ooZXncHxVd0tWZk0YafpGMTwEMPnygf37I6rH2RgVfDY/+7P+GzbCJLu1te3VqKgXOXlfgsYnxBxMEJdf052NuZrilZOSX/tr92cPu98xA/kKn4AGRHqvcvuRrpJ1fcGrzg+H4l41+RYfLUfNVpNsfDx8P2y0VNq7H2thleTfs+Gd+HiXyhO5PrLV+QVFR5EVlhEfiIrK8j/L585ijajqjsWfMzWY8ycick+0mS5qTY9C25Cgjh0rSEjXkq4GGoHsAgAHyCvIKrAPILrgP3guqH8xwzfFqmsQHqgzs9G9K5M6/uSCvlkbb2rmIY8zRtFmQjiH07CcfM0Br9aUpJof2qQdlAPsFYyhf9BTzDMv0rup3O0RgdK3Dq8Sj6pyGlX5Vm8wEeqos3L8NXw57xVl3NsTa2S7X99cGPHkF/EPimBgfXeuWb2qTSEAXK2dl+3zTFE4h/riPACP/g5LGgfFZ3Q0oqmtR6bq+MOYkiOPKR6fOxyAT7YyKrBvj/dl/DhuVXl2hPuDa2oMDY4+SM/GB8B+FzgxVf0MhTbka59paI1xwVwCrE4/ar+9Q5/15MOSB/ZFywu0/io7b68y4240ytCzW4dUw8/Fv6fxEI6ox6PNiHraqJdz/wDdpfEDspJNR2DLpu9NGS58vDJw9SA8AMHKbonf0/h8lvzUNZEUxVCFUTORVMwclUTMU6Zv1HKIlHLG4eXiajhJqWmzQ5Omyi6SxOskbex0JUn1XuPECqBatpmqaBq8239wYmVp+v4xIlxcqGTHyIyDY9cMqpIBfgG6ek/VJrzn3rhUxWlZ3revFsVrZpOE/cjooAl5IohyRQjdQoM2p/0O3niA/wBaU2Vr+LXurN2n7KZ+ZpUvlbs1tjpeAQbOjzoxyshfXjYnmMPQ8kZBvarO/CD2nh7ud78DD1WLzdo6Gn7Vz1I9yRMd1GJjN6snLMan0xxyAi16l+IiYRMPxMImH9YjyPp9nrnhDHGkUaxRi0aqAB6gLD2+2vfGWV5pGmlN5GYkn0km5r1/ujb/AHax/wCGIZuP0l/vifxhW0cm/Qb+KasJ+ph/nCVn/JDXf+kdpy0fxdf7UMP/AEHD/P5FQx2K/wDZk/8ApKT+aiqLuldA7P7AzknCa3iWLgkE3bOrBPTj88XX4Ur0yxY9s5eJNXrheSkBbqGSbooqKe2mY5vEoAIw52+7Y7w7n6hNp+04YmXGRWmmmcxwxdd+hWYK7NI/SxVEVj0qWNhxOfbp3joOzcSPK1yRwZmIjjjXrkfpt1EKSoCrcXZmAuQBc1je2dWXfR9zVoWyY1vET/ySEpHGZvSSEZPxDpdRq3lIJ4UiKj5uZ2kZA5BSIskuHgcgCJfLqd77L3F27187a3ZCsGp+WJEKt1xzRMSqyQvYFwWBQjpDK46WUEi/O27uDSt16WNX0ORpcPqKNdelo3AuVkXj0mx6gblSvEHnawfo/En19o/sZsjZc6+0rr65NoerQm1DFVhrvGSDFGYhHUjWWshEvVvl46XnUisTi3V9+RIqBEzlJ5ZaL4dMM7W7ebp3bu7IfQNr56xY8WoHqiykdBLEzwK0bN0pJMoiPQS84fpUhb1DXdbIGs7r0TQ9ChTVNZxWeV8Tg8DKxRwspV1F2SM+YOodMZW7Am1aB7qbsoe4rbriP17KSdvitZUlesP9kzjQzSUvEm8VjDKOQ9xqxWdtUCxfvqODIIJqvHavtJgQvkaMPiB7g7a33rWk4u15ps7D0jTzjvnzL0yZcjmO7cVQso8vrZyiBpZX6FCi5zDtbtXV9s6dnTazHHjZGflCVcaM3SBVDWHAsAT19IXqYhEXqNzYQ0yA6k6mKV6ETTSAQTTImAj5CBClIAmH4iIFAAERzaqqvBQAPVWpYtxYkmvfN1aVzNYsllo882tVIsUzT7M0EPYna89Ujn4kAOBbuvb5byTI5REp27lNZA5REBIOdho+savt3Uk1nb2VkYOrJymgco/sa3uyKeRSQMhHNa42fhYOq4bafqsMWTgNzjkUMvtHirehlKsPTVnWvex+qu3EHG6O7bw0XE3ZwsRrQdtQqaUIi5nHBAQb/KvhKqNKtjpTxAEBFSIlB/diUpvFua4G1+6+y++GnRdu+9+PBBuB2C4WpRARBpmHSvS/H8Jksbe4S2NkH3LA2iMDa1sjcPbjLfdfbiWSTSlF8jDe8hEY4m68PPhA+twmi+lci7iEHYLr3eeuN2Cq23iWhJb5pzSbw0bGbRdtjWwlFZJRHyUJFWaMTUJ88wE5vHyBZEx0DlMFd+6Ha7cXancH7G1v77Tp+psTLVemPJReYI4+XkRgjzYbm3B4y0bAiVtm7z0ne+lHUdN+7yo7CeBjd4WPIg/XiY38uS3H6LAOCK0Xkb1llMUpilfNZFNwkogqAimqQ6ZwAwlN4nKJR8Tl4MQwAPoIeoD6hmx0WRDG30WFj8v/AA51uVijB1+kDeuyN0i3SvurQtdfzLz5u50tU9Euaihyi5dycGg3/L5tYvmZTmwwS7V2Yw8AZZRQA/ZHPWT4ee4EncDtri5OfJ5mv6eTh5RJ95pIQvRKeJP38JjlJPNmceFUf7q7WTa275ocVenS8oefAPAJIT1IPD7uQMlvshfTUvMnGo2pilMUpilUUfU9+oc+p6811k0BYTs7iKIsdv7IhXIA5ozZ2gUxqFVHyIj7N6kGioGkHhB8oVsoBCCD1QBayRs7aq5AXV9TW8F7xRkcHt9dh9gH6I+uefujjVvvd3el05pdk7TmK6jbpy8hDxgBH6iJhynYG8jj9SpAH3p9zrtpIpIJERRICaSYcEIXngORExhERETHOc5hMYwiJjGERERERHJWJJNzzqn6qFUKoso/4f8AD019AARHgA5EfgAZqqs7BEBLnkBxJrbJJHDGZZWCxKLkk2AHrJrHpOxtWImQagV67LyBuDf3qgb7lFC+qpw/qS+gfaOVs7p/EltnY8suhbVWLWd2ISr2f/EsV+RE0qcZ5VPOGA2B4SSrxFeg/wANf+767id5MbG3n3MkydpdsZgskQaIftjUYjxDYuLKOnDx3H0cvMXqdT1QY72DVgjx88kD+bxc63qPin+ygmH3Jol/AX9fAj+nKHby31u/uDnDP3jnS5jqbxxfQxoRztDjraJAPA2Z/S5r2w7Tdl+1fYrRjofafRcbSYnUCbJF5tQyjaxbLz5L5ExbxUMkP2YlFfkzFKk6mKUxSmKUxSmKUxSmKV+tm+dsD+4zXOiP9IgfiRU/Qqib8BwH+Qf05lWz98bv7f534/Z2fNhOxu8Ys+PMOdpsdrxSA+JsH9Dio07r9mu1nfLRv2H3X0XF1eFFIhyGvFn4ptYNiZ8dsiBl+qvW8X2omFZzF2Rq9EqDsCMnRuCkN5D8oub7iKHHlE4j/RN6D9g5e7td8S22t6SxaHu9ItG3Q5Co5f8AxHJc8AI5X448rHlFOegk2SU8q8VviS/3efcLtFjZO8+1UuVu3ttCGkljEY/bOnRDiWnxoh05+PGPpZOGolRR1TYwuWrJBAQHgQ4H7ssu6NGxRwQw5g153RyRzIJYWDRtyINwf+B4eo8DxqTum4cGVYXljk4XnXx1CGH9oGEeJmzUCj/qay/un4+HOeOHx978fcfePG2PjPfS9s6aiMByOdndORkEj7cUP4eG/O1xXtJ/u+tgptrstk76yUtqu6NTd1Yjj+BwS2PjgH7EsxyJrcr2NbbyjtXprx/dG3+7WP8AwxDND9Jf74n8YVuHJv0G/imrBvqZnIn2BrJ1DAQoairYcmHgOTWS0FIUPvMc5gAAD1ERAA9ctD8XjKvc7DZjYfsOD8uRkAfOeA9JqGexALbMnC8T+0pf5qKs06osq/rbqp2DvXYKPlGekNlyUdXmFcaozENebc6RQVrEmNfM2fwMoROXdqptWZUlkVPNk4ce4RH8Q5H2Th03aHZrc25e5sUqdvdVmjhSALJHl5LKDjyeTZ4ntKxWONQykmKWQssdyer7iSZmu9wtG0jZjxvuvBjaRpSUeCEEiVfMusi+4AXclSLOidJbhW6NV91dK7Y3PA1K1auqtQrdfiytdJ7F2ArGyNjjJ9g3RaJxcm5fIO062aZZGOZoonJnOoq38FTCsonxnmzPiB7f7239jaJrOj4eDpWLD06TnZpjeeOZFCiORnDCDzUuY2WcksnS5MjrbFtw9rd07d2xNqOn6hkZOdNJfOxscMsbRsSS6hSPN6GsHBiAAa6jpU31Z9QC8GkdU6Y1/eb3ULhuqMtUhZ7YhrRV61piMQVjOMWki8hHUlJrs1xK9ZpswdKnWFYrhVIAJzxhvxObjOVszQNs7h1HBzt/RZr5GQuAWXFEXRMiu8TO5VrPEsXmMW6hK6ALe2Q9nNJEG4dU1nSsPJxtryY6xQnKCmcv1RsVVwqgj3XL9AA6Sitc1VjlMqsBXMxtatU0gZ3B1G3zrIip25n8FVLBMsAXSHhVD56MjnTUVkh9DkA/kQfQQAc7DE0jWtQiM+nYOdkwBiOuHGnlTqHNeuONluPEXuDwNcafN0/EfysvJxoZbX6ZJo0ax5HpZgbHwNuNch/Aewv+rjY//MC4f+xc5P8ARrdP/pOrf9yyv8FXx/a+jf8AbsH/ALxD/wAun8B7C/6uNj/8wLh/7Fx/RrdP/pOrf9yyv8FT9r6N/wBuwf8AvEP/AC64+SrdphUCu5yo2+CZHVI3K+napYIZgK6vokh87JxzVqCyo+hCCcDHH0KAjnGy9H1rT4vP1HBzsbHJA65saeJLnkOuSNVufAXufCvtBnaflOY8TJxppQL9McsbtYcz0qxNh4m1h41w2dfXJr5qpJLpHRWTKqkqUSKJnDkpyj8QEP8AuEB9Qza6LIpRwChFiD41uVmRgymzDlVq3WnZUD2w1lL9Qt9v13loaRZpXU9+cGIvPOE4JA5mipXS5inXutIKYD+Ym5lYkyhVufByZS6XaTd2m97NoT9ju5UrPrCQ+ZpuY1jMwhB6T1NxbLxOd7/4xjFhJfpmLV73zoeZ2716LuTtBAuntJ0ZeOOEY8w8RYcoJ+VrfdTdJW14wtat3pVl1tcrNr64tCs7PUJVWJlCJlOVq78SEXYy8cKgAdSJm45ZJ22OPqKSoAP4imAKkbj29q20tfzNsa8gj1fBmMcgF+luAKSpfiY5kKyRn7LAHiDU56VqmDrmlwazpjdWBkxh0vzHgyNbk8bAow9IvyIrF86aufTFKYpViH00dlKVTeczr10uYsRtOsLHbIiYpES2ymAtJMVfxfFZ7XnL5MQD1N7BA9eAy0/wj7sbRe4mRteZiMLWcQlRwA/E4oMiH2vA0y+voX0VC3fTQxqO04tajF8nT8gXPj5M9lYexZBGfV1H01fdnpXVQaYpTFKrh+pH3M/+VfUyMDSnrYd4bTRkoigpGBNwNTi26aaVh2RINDclM3rqbtNNgmqHtupRZEggdIi4FyzaWgftrO8zIB/Z0JBfw6j9WMH863vehQfG1Q53m7j/ANBdAGLpjL/SfODJAOflKLCTIYeiO4CA8GlKjioa3UmEVTnWWcOHT106cOXr1+/cKvJCRfvV1Hb+RkXi5jLvZB+7WOsuscROqqcxjDyOTjwAsAAoFgBwAA4AAeAA4AeiqAEsSWcs0jElmY3ZmY3ZmJ4lmJJYniSSTT0ABEwlKUpRMYxhApSFKHJjGMPAFKUPiObZJIoYnnndI8aNGd3dgqIii7O7GwVFHFmJAAr6QQZOVkxYWFFLkZ+RKkUMMSNJNNLIwWOKKNAXklkYhURQWYnhWBTViO682kecyTT1Ko5LyRZ2HwEpB/aSbj/4x/0B6Z5/d6fiMzN1GbafbyWXG2nxSbMXqjnzhyZYjwaDDPK4tNkDixSMhT7m/CH8AmldtBidz+/GLj6j3PHTNh6TJ0zYWitzSTKX3os3VV4EhuvFwW91BLMGkXFQAADgA4APgAegZVNEWNQiABAOAHACvTOWWSaRppmLSsbkk3JPrJpm6tlMUpilMUpilMUpilMUpilMUp+vgQ+4fUM2squpRwChHEHiD7RW+OSSGRZYWZJVNwQSCD6QRxB9lZNEWFVoUrR4J1mw8Jt1fU6zU5vwplH4mWbicQDj9ovPpyHplquxvxEZW0MjG2n3Dlly9j9apHlG8mTp6X5MeLZGIBzQkywDjGWQFB5pfGN8Bek91MTP7odjMfF0vu+I3myNOXpgwNbcAksgAEeDqjWusqhcbMb3J1jlImNlELHkiYWHi0w4Kwi2Lbj+vIgQyo/rMscw/wAueYfcLc8+9u4OvbyyW6pdU1nLyL3vdHmYQ29XkrGB6hVg+3e2MfZHbvb+y8VeiHStGxMYqRYiRIVM4I9PntJfnxvxNclmI1l9eP7o2/3ax/4Yhmh+kv8AfE/jCtw5N+g38U1dxtOX1lCfUU1W/wBqKRTeKDRjdvVX8/8ALBAx17cWOcJCOpBR5/ejZwZj84kzWV4Kk7UIICVQUxD0P3nm7Q074ptGyt5GFcP+joXHebp8lMxp5hEzlvdVujzViZuCyMtiGKkVU29ja9l9lNQh28JGyP2sTKsd/MbHEUfmBeniR1dBdRxKA8CvUK1J3+t6T7TmrabsO6Ue27yZbBk7GZHWaj9CtsqeZKxMyP5KIeSkks1WNEPmDVM7gwmVe+6dAATBTjB/ib12PJ2Ho2g7nz9Oze4kepyT2wC4gTGtOnXJG0jlSY3hjUyG7S9Zj90NWR9ndNaLc2oanouLl4203w0ivlBTK01426VdUUEdayMQvAJ0h+NqqhOQihDJqEKomcolOQ5QMQ5R+JTFMAlMUfuHKTsqupVwCp5g8QasOCVPUpsRXoigi3KYqCSaJTG8jAkQpAMbgA8jAUA8jcBxyPrxmiRxxC0ahQTfgLVqzu5u5JPrr6D8B/UP82bjyrbVqVp2pu3W2jeiVJ0HOJ1+Y2bTTRH5S3hq07TnJ10FaCOFVeej3aLDyfSzhZwuBiAPuHUUEwhl0NZ3n3C2p277b7f7a5Ixc/WMAxeWsUDCaZvw/l3aZGCe/K7u9xe7M97VX/T9vbU1zdm7tU3hCZsbAyg/WXlBjjHm9VhGwLe6iqq8eQVbVgu7d5d9uvlkiaxsXakOLqfiFZqEkK/XKZJRT9o1XSayKJVXNTYOkHsa6cJlVIdIAEqpDEMYBHjG+4fcX4le1+qwaRunWYPOyoDLE8MGLJG6qQri7YyMHjZlDArazKVJB4drtXafZ/eeDJn6Jp8nlwyBHWSWdXUkEqbCZgVYAkEHwIIFq05/89fbL/raH/mXRv8A3fzAf/mP72f+tn/uuJ/gKyb/AFSduv8A03/7ef8AwlSF1xvPa28+tfc5ttm0pXFvWdbRLiCRXga/GEj3DtCwOVnBQiI1iKywOYxuomZTyFJRIpieI+uSjtTuNvTuN2l3/DvbMGfFiaTG0IMMMYRmEzFvuo0ueqNGUm/SVBWxrDNc2nt7aW+drybcxzjPPnOJCJJH6gDGAPfZrCzMCBa4JBvVYofAP1BlQByqeDzrzmtK5SCn52pT0Hbau8GOs1Wl2Ngr74B4BvKxiwLtwVD1A7RyUDIOCCAgo3VOQfQw5zNN1PUdE1PG1vR5PK1fCnSeF/syRm639KtxRx9ZGZTwNfDLw8TUcSbTtQXrwMiNo5F9KMLG3rH0lPgwB8Ksk7yREJt/U+k+4dOZlbJ2WJi6lemyZf3qBZEzk0MDwSJlMo6q9rSexSihx5EHRA+BChls/iKwdO31snb3fbQowiZcEeNmAc16+oxdfC5bHyRLjFj/AGxRyUVB3afJyttbi1XtpqbFmgkebHPgem3X08eAlhKTAD7B8SarHyoFTxTFKYpWdast6mvtp6yvSQiH8KX2ryi/BhKBo48ohHzCZxDgfbUh3zgpv0DmSbL119sbz0jcaf8AUtSx5G/Q8wJKD6jE7g+o11Ov6aus7fz9Jb/rGHKg/S6CyfL1qtq7YYCBgAQEBAQAQEB5AQH1AQEPQQEM9rgQRccq87uXA8684pXD2GfhqpATdosUg3ia/W4iSnpyUdmEjWNiIhmtIST9yYAESoNGbc6hxABHxKOfSKKSeVYYgWldgoA5kk2A+U1x8vLxsDElzsxxHiQxs7seSogLMx9QAJNdJbsxv+e7Qbvu255sXTdjPOixdGg3RxEatriHVcEqcIVMeCIvHDdc8g/8QL5yL1YR9AKAWH0fS49H06PT47FlF3I+tIfpH2eC/mgV5n723Zlb33Pk7kyeoRSt0wIf5LHQnykt4EgmST0yO3qrRQAI+gZ2iqzsETix/wCHyesngBxNYlJIkUZlkNo1FyefzAcSTyAAJJsACSBWv7BNfOGOwaH/ALyTNwsoUf8ADFSD6l5//LJmD0/qx9R9OM88fiF72tvLMl2HtKb/APRWNJ05MyH/AMwnQ8VB8cKFhZF5ZEgMjXRUB95PgQ+DyPtLpOL3r7o4n/8A2DPx+vT8SVQToOHMvB2U8Bq+XG15X+lgwMIEImaVhi+Ver0gpilMUpilMUpilMUpilMUpilMUpilMUrm6yxCTs9ZjhDkHtihW5g+PJBkW51A4+0BTIOcDVZ/wuk5eSOceNKf7AgflNcbNl8nCmm+zC5/sTVpSwgZZUwegCocQD7gEw8f6WVJjFkUeoVB63CgHnavlm+ta9T+QeByFA5klkFgIJvEDigsmt4eXr4+fhxz68c85ob8COJDA25XsQbX8L2tety2uQeAII+cEf1atM2r2F6C71nY637RoW6X1kbVtjXTkZtZNk1bx7Vd29BiZOItTVg8FF2/W5WAnKgCH2cAFyt6d0fhn7j6lFru8dN3BJqqYiQEIsiKEUs/RaLJVHszt79veHqsKr9t7ZneHaOI+maBmaWmC07ScSrEsQq9V3iLLcKPdvwrWSM99L5uBioaz3kiBxAxwSNZkwMIBwAm8LkHkIB6Bz8AzEE1L4PIgRHpG41B52OQP3Mqu+bE7+ObvnaSSPT5X+Br6/xL9MX/AKut8f8An7T/AO+mfT9r/CD/AOlbk+fI/wDzdbfwXfn/ALbpHzRf4Cn8S/TF/wCrrfH/AJ+0/wDvpj9r/CD/AOlbk+fI/wDzdPwXfn/tukfNF/gK0LvaT6qyLCuB1yrGyICVSfPBta91dPzRjiIFmoDNBm2lJmYcGlPzESGBRIUkyIFOU/mY5PGNe5GZ2Yy8bEHanD1bGzVlb8Sctn8touk9IRZJZW8zrsepelQgYN1FhbL9pQdwYZZzvfIwZscoPKEAXrD34liqIOjpuLG5LEEWAN5w2fQlt3J186WTNQ2TQdcyVE16m/bSFwn5CAkvzFw2rTqMf1xxHtXCgOopzF+4Y/JRIYxOOeRyxOr9tNb352v7f5+h6tpmlZem6WHV8qZ4ZPMZcdo3gZFY9UbR3J4WJXnxqKcHeGnbY3nunF1LBzM6DMzOkrDGsi9IModZAxAs4ewHG4vWvr91F37tSab2LY/aDRNxmmcenFMnspbHaQMY1M5lvlGTSPr7Ji2TVXMKiokTA6qg+RxMIBxi+5ux3czemoJqu694bbz9QjiEaPJksOiMG/SqpCiKCfeYhQWbixNhbuNH7kbQ2/ithaJoGr42Kzl2VIVPUx4XYtIzEgcBc2A4ADjWE/8A9fd9/wCvPrr/AM7Zf/2TmO//ACw7l/8A9j2r/wB5l/wVdr/rk0j/ANI1v/oU/wCXW7Kd14sGietvcZacvmtroW0azalakoEw8lTxv5QysHvDLA7ZtfYB18+X2fHy8vA/PHGSFoXa3U+2/aXfkmo6lpOoDM0hekYUrSGPyknv5nUq26usdNr3s3orFdT3ph7u3xtlcTDzsU4+eb/iEVOrraO3RZje3T73tFVQB8A/UGUpHKrEHnXnNa0pilWf9TCDtnpv2j0c9N5q1tOUstaATe4sipORCloi/YIYfwEQuVaWUASh+Eyw/flw+yI/pt2G3j26yDd8QSTweJBmiORHYeAXKgZhbkWqBO4xG3e5ugbsi4LOUil9B8txE9/bBKo9YFVctVwdNW7koCUHCCS4FH0EoKplOBRAfUBDy4ynEUgliWUcmUH5xep+kTy5GT7JI+avvn0rZTFK/HIlOePfFTESqGaOATMAciVT2j+BgD7RKbgc+GUGONIF4N0Nb22Nq+sBAmQt9HqF/Zeu2ZqqZNY9X64sCh/cUnKHUZZU/mB/JWRgI92qInD0Mb3FR5/TntpsvPbVdn6VqbG75Gm40pN78XhRjx9przr3DijC1/Ow1FlizJkHsWRgPyCs+zJa6eqdPrLb2PRtDV7SEK89me3tMqt58qKifvoa0qJ2UpZiKFAfeSRsEsvHxomDgFG67gvqACGZ7sDTfxOptqMg+6xl4f3xrhf4I6m9oFV2+I3dLaXtWHbOK1srVJCJLHiMaLpaT12kYxx+tWcemusmI/aP68mCqTc6xiyygtUPy9A3Dl0Tlc5R4Mg0HkOAEPUFHIhx+gnI/blWPic7qSbX0Ve3+gSlNxarB1ZMiGzY2C116QRxWXMsVB4FYA7Di4r0s/3dHw0Qdx93v303xjLLsHbWZ5enQSqDHqGsx9L+Y6nhJi6UCkrKbrJmtDGwtE1a/wDh6B6AHwD7s891VUUIoAUCwA5ADkBXuu7vK7SSEtIxJJJuSSbkk+JJ4k0zdW2mKUxStl6h03tPf17Yaz03SpO93R+iDxRgwFNrGwcT7xW6lgtc66EkZWa+iucCC5cnAVFB9tEiqogmPZaRo2qa/nLpujwPPmML2HBVXl1SMeCJf6x5ngATwro9x7l0DaGkvrm5cqPE0xD09TcWd7X8uKMe9LIRx6VHAcWKrxq4uO+jxqrVsDHzHcXurTtWS0gj75a5V3NQrUcRMTFKKTWx7KcqyVhURU8kzqN4tqTkvIBx8Jgj7QaVpcCzbw1qHFmYX6EMaD5HmJL+gkItVtn+JHX9ey3xu222MnUMdDbzJRNI3tMeMAsdxxAaVjX6w+kF192wycm6s98azeLCmioq1gZ09AvLJX2gExweK6+k4SfjUSF+Knyzjx9REo/DN/8Aqi2/qqH+i+uxT5AHBW8qUfL5TKwHr6T7K+X/AMx28NvyqN+7SnxcMmxkj/EQML/ZGQrxsfV1Lf0iqseyfUTsD1KnG0TuukGjIeUeGZVvYdecmn9c2dfzUKi1Y2IjdseKmHBE/MsdJIM3hgH92RQPxZF25No6/tOcRa1B0wsbJKh64XPoD2HSx59DhW9APOp82R3F2f3DxGyNr5XmZMa9UuPIPLyYh4lo7nrQcvMiZ09JXlXDdfOsO9u09ndVXRtCeWk8UuihZrS+XCEoVOFcgqkJZ7a6SUaNn6iBDHTYNiOpFUoclQ8R8s+G39sa7ujKOLocBlKEB3J6Yo7/AG5DwBtxCr1Ofs1yt4762nsHAXP3VlrjiQExRKOvImtw+6hBBKg8DIxSMeL34VbGh9HXTmrItq97Yd5qhryYWSBZSErf8F1COKQxigX5KW2VJPZiYLyIh5kjm3PHPiHqASuvZ/R9LiD7r1yHHmIv0p5cY+RpmLN7egeyq9v8SW5dfnaLt9tTJzMYGweTz5mv+cmMqonsMje2vCn0hNB7bjHy3UjvTVb/AGVmgZVOu2RzRrlGKeAh5/PvddOY2wwiPBgD3hYvAKI8+Bvhg9otB1aJjtPXIsjJA+g5ikHymEh19vS3soPiN3dt2dF7ibUyMPBY28yMTwt+9XJDRufzetPaKqG3r1+3F1ovZ9c7tpbun2NRBV7CuyLklKtb4pExSqTFNszYhWM4yRFQoLp8JPGZzAVwgkIhzEeu6Bq+2s79na1CYci11N+pJF+1G44MPSODKeDKKsZtPeG298aSNa2vlLk4QIVxbplhc/UmiPvRsfqnijjijsK05nT1ktMUrOdXkBTZdBKb4DaI4R5+H4QVOH+mXMf3YxXauokc/wAI/wCW1dXrZI0bKI/tDf1KsoH4j+scq5UN14zWlMUpilbm1toa/bXo+09g1MYL8j1FG/mVjbyb9ZpJyZU4xxNumkEiRqs3UcNIdsZYRXURIoYQTIImEeM/2n203NvXbus7o0Q437O0OLzJ1kcrJJaNpWWEBSpZYlL3cqGNkUk3tjOubu0fb2rafo2ped+K1J+mMooKp7wQGQ3BsXIX3QSBdjw56XIcqhCKFHkpylOUeOOSmABAeB/QOR+CGAZfokXFZOwKkqeYNe2a1pXg3wH9Q/zZoeVKn1vyFqk9qH6c8Zd5BODqb+pGj7LYxaJPFq9X3oUhCXlkU1UVwKZq0MYwm8DFTAPMSmAvA2a7l4Gi6lsbtVh7hlGPokuCUyJ+kMYYH/CCWQAg/RW5vYhfpEEC1RDs/K1HD3JvbI0pDNqKZAaKK5AkkXzyiGxHM+FwTyBF71pTtjqPr3rHYMDBaJn2NugnlX/MLIkWXj7e3gZj5siccmhYWxVCKjNRxjLHamOoZuKIHASlWKQI9727G7XbP3Pjab24yY87TpMPrnHmpkrDL1AIBOtwfNS7GMlinSG4CQAZR273HvTXtGmy93QvjZa5HTEehoTIlvevGeXQ1gGsOq9uJUk6+1h1t2fuljYZLV2tErRH1gFCSr86kLDMDyCaIOBg4t7LHbNpSe9oxRM3SMPteZfdMmJigOL7O7S7v7gY+Vl7O0gZmLh3EjkxRIXA6vJjeUqsk1rEopPTdesrcX7nXt8aDteWGDX88482RboX33bpJt5jKlykd7+8edj0g2NWdah64at0br6xaY2huFhT9qdv6ZBQaNVRiY9k8hXvi+YIx1dSVSXPNv2L2xA3WM6OVM65PwFIUcuBsbtPs7tztfL2DvDXY8HeO+cCGEY4iRWif30EcAIPmurTdDGQgM6npABqBty733BuzWYN0aBpj5O3ttZUkhlLswkX3WLSEEdCssfUoQEhTxJNQn2V0o7B64G+yiVMd2yi0aQcpEtsUswJIT0Cg1bPhsbKnlfOJ0zRm1c+LsEyKe2sgsKYKJlAw193b8Pfc7ap1LMTAkzdt6dKwGTGU65oVVX89MUO0xVVa0nSGsySdHUg6qlPQ+6ezdc/CY7ZS4+r5aA+S4bpjkJK+W03SI7sRdLkXDL1WY2qJqaiayZFUjkVSUIVRNRMwHIoQ4AYhyGKIgYpijyAh8QyEFZXUOhBQi4I4gg+IqRGVlYqwIYcwfCvfN1aVZb9L54iO0dwQjtwikyldYRTlZJZUiYKlj7A7bOFQKcxfMjdvLD5iHoQDhzxyGW3+DydP6Y69p87KuPNo8bEEgX6JmUnjzCrJxPhcX51BffyJv6P6ZlxqTLHnuAQOXVGCB8pTh6bcOVVoFTTRM4QREDIN3j5ugcogYh27d4uigchiiJTpnSIAlMHIGAQEPTKj9KozxoQY1kdQRyKqxAI9RAFj4ip2JZrM30yqk+0qCflvzr2zWttMUr1P6kOA/aU38w5o3EEeqtRzrtA9VDmU616LOcRMYdXU3kR+PpCtCh/oAGew3ZdmftLtxm4n9j4v80tUI7hALvnVgOX7Qm/jmt/5JtYdXUN+qJtdTafc3YbJF0ZeD1HHQmp4ZIQACoPYxsFgtypPERATLWSdUQOPxEGZQH9kACddm4IwtvxMRaScmU+w+6v9it/lrz47468dd7kZkatfF09ExUHoZR5ktvbI5U/oD0VXsssk2QWcrDwk3TMqf7xAoehQ/rjjwAfpHOz17XdN2voeZuXWW6dKwMZ55fAlUHBB+dIxWNfzmFYVsrZm4e4+89J7e7STzNza3qEOFjC1wrzNZpX/ucEYeeS/DojbjWo3LhV24WdLjyquoKhvuKA+hEy/cVMgAUP1Z5A7k3Hqu8Nw5u6tba+qZ+Q0rjwQHhHEvoSGMLGoHCy38TX6rO32wdtdqtiaR202cnRtrRMJMaE296Zlu02TJ4tLlTtJkSMfe6pOkmyivhnS1l9MUpilc3WKxZLxaKxRqZFHnbldrDEVOpwqZvAZOwzz1KPjWyin9waFWW9xwqPog2TUUH8JBz7Y2Nk5uVFg4aGTMmkWONftOxso9QvxJ8ACfCuLnZ2FpeBPqupyCLTcWF5pX+zHGpZjbxNhZR9Ziqjia7DO79oU36P/Xiq9a+vv5HYu2u2Yglt2Ps6SjUXxov8Kka82ROMXBeHaKb8F4ymQKo/Jt0W6qy5TlSc/OWD1vU8PtFt6Lbe3+iTdmWnmTTMt+nwMzA8+N0x4j7oALMDZuunG1tB1P4j95ZG994ebD2806TycbFVivVyYY0bDkSvTLmzj32LKqEFk8vru2aanbxZJK53qemrxcplwo6l7bb5FxP2KRcLG8lDryT8yiqSQmH8KCIJNkg/CmmQoAUK9ZM8+dktmZ0jz5jm7SSEu5PrJ/cFgPACrl4ONiaXhJpmlQxYumRABIYVEcagcrKtgT6Wa7HmzE8a4pqmEfINZeNOvEzLFUizGah3LiImmCyRgOmswmIxVpJMliGDkDJKkMH358lHlyCaK6TKeDKSrC3oZbMPkNfeRjNC2NOBJjMLMjgOjA+DIwKsPUQau56afUwUuDZPqf35JHbj0ts8qVIY7NujdF1MwTmZVSZxkPtNyBUSTdedPzpla2MvsycQ7FNVyqcgA7bzXs7uUcxBtTfnTmaLk/diaQAspbgqzn6yE26ZuDxtYsSPfWrnczscNNkPcLtGX03c+BedsWAkJIEBZnxRx6JAt+rG96KZLqig/dvkfcH6hld68w5ul/072ELrOia4Tc1i5bcrqCL90E4QBQmYHW7yR+f/ADScbr+QTFtfGduVpDzK2E6qZ3ecnd/cHH29D/Qzt6qY2DjApJOgBPV9ZYSb3YH9ZO3US9wtyC9cHtv2bzN5ZP8ArN7yvLnatmkSw4khKjo5pJkhenpjI/U4idCiOxeykR1RVKrOp+XeWGxPpCy2KRWVcyNissg8sFgkHCxxOss9m5hd7JuTqHMIj5qiAfYAB6ZBsrNPKcjIZpMhjcu5LuSfEsxLH56tfjrHiY64eEiQYSCyxxqscagcgqIFUfIK94h2/rs3G2etSUnV7RDOUXkNaKzIO4CyRDxucFUHMZNxaraRaKpKFAQ8VPE3HBgMURAULvjzLk4zNFkobq6Eo6kciGWxHz+2tuTHFm4r4OciT4EqlXilUSRuDwIZHBUgj1X9BBrsM9U9+U76o2nrL0l7fKtD7vgINe1ak3AxZsGVgnywiZW6VyiUCFbtWey6Qq5T/N2rf2mk5FLGOKZUzPCJ2D2rr2J3P0eXZW7iP23HGXgyAAGbp4eYo5CaO48xRZZUJNrdYFOO4G0dS7Dbkg7o9uA39FppRFl4bFmjj6+Jhc8S2NOAfJdrvBKoHUWEZNCuy9cXDTuxrzqbYDNNjdddWR/VrCk3KqDF04Z+2symooyxSqKwtiiXDeQZHH1Fq5Jz+IDZBGpadmaPqM+k6gvTm48hR7ciRxDL+a6kOv5rDxq22h61pu5NFxNw6OxfS82BZYybdQB4Mj25PG4aNx9pT4WrCc4VdpWX69cgz2BR3Rh4KjaYjyEfT0VcAh/OrnS7kiM23M+Ic2xJPyLf+pXX6snmaVkoOZgf8gv/AFKszOUSmMUfiUxgH9YCIDlVgbgEeioXBuL165rSmKUxSrPfp4eFg19211ykPuSNjp0e8Ztw9TKElqxba0cSk+I/3wkkH6zZcH4WunU9sb32qnHKysBGUekSY+TAeH6QX56gXvR1Yes7c1tuEEGSwJ9HRLDL+4TVW0d5gwZFVASqlaoEVKb0MVUiRSqkMH2GIoAgP6Qym+N1fh4w/BwgB9RA4j56n+exmcr9HqNvZfhX7M+9fKvBvgP6h/mzQ8qVavfrn1/qXW3px/jw07O7VO81c5PXF4exjAJ19NrHVwZb5viehQcBIAqj4iPueHsj+zz63S3Nr/bLQ+02wz3E0HJ1pn0djAYp/JEIWODzer76Lq67pb6Vuk8r8a+aRpe8tS3zuf8AopqcWnquevmh4/M8wlpOi33b26bNfle451paC2B0in5iLqtb6T7Ff2CckmkTDwLO7LNpB9JyZgBm3SbuLu3BEXAG9z3FPBMEgFQTAQBNkf6buf4edTz4dF0rt9qsmp5MqxRQrllXeST6ICnLW3V9LqNlC3cnpBNZRmaN3VxMaTUM7dWEmHEhd5GgBVVX6RJEBvblYXN7KBc2qdXZWsbV1d1moto0NINeu8Lpgra32/WaL2JdHVj2ZiKiydWlF09YWUI58qdZ6wVUUSsHvGBRUVwTKpY/uzo+89ndotN1fttKm1tP0ALlZOAHja6Ib9DZAZ0n6HJeWFiy5vUQz+YFDRLsXO29r++8vT93o2tZWqXhhyirizNw6hEQrRdSgKkigHHsLL0dRGipGi9xe0k5qTtAjRdW0p3rlpHTutKjPTk80dXVMHzOcLJSjczNZSMj5xyyKdokus1UIzOUwiImBUY4ytud9u8eo6H3hTTtG0+fSkSbAxppplbLHWs3mSL0kxpMygxq7RkREG/HrOXQat2z7f4mpbBfL1DLjzmaPKmjjjIgPS0fSh6gHaMNZyquC4Itw6a2L1x2T2i7DdmLLabDMpapo2nE/wCDL9p4pgkkVJeQQOqESqwcgistMOX7EXoTw+JUWqZWzUqhFVzjlXardneLuh3cy9Z1TIXRdu6CPwuZpf6wGVwT5ZRrEys6eaMzgEjUQwh1eRj0e99D2BsvYkGn4UR1HVtTPn4+Z9EhFNusMLgIFbo/D82cmSQqVQVXh281lO613zeTPqOSjVe7T0rZqC0ZOWTuHkIUDtW8k7YGjhFrHOF5cyjteP4IdmDxMOBKYo5VrvntDUtpdydRbI04ado+oZMmRhqjI0TxXVZGTo92NjLeR4OBi81RaxBqae2+u4mu7QxBFl/i9QxYUiyCwZXV+JUN1cWASyLJxD9B43BqM+RDWdV5AyhB8klnDc/gokKjVwu1VMisX210DKt1ElDN3Cf4VExESKF9DAIZqrOh6o2dGsRdWKmxFiLqQelhwZeTDgQRTgRZgpFwbEAi45GxBFweIPMHlXgAAAAAAAAAAAAAAAAA9AAADgAAAzby4DlTnxPOma0pilfFyoCLddUfgkiqoP6iEMb/AL2fOVuiJn8ApPzCt8a9bhR4kCu051xijQmgNLRZzeR2ur6OBx4EODK12PXEogIAICQVeB/SGey/anCbTu2W38Njdk0fEv8ALAh/q15/b3yBl7x1TIHJtQn/ACSMP6lbZlZNjCRclMya5GsbEMHknIOlP2GzFg3UdO1z/wBYigkYw/oDJBRGkcRoLuxAA9JPAViM88WNA+TOQsMaFmPoVRcn5AK6GNntLu92u33t+ud08vNvtVzXcKGEx1htM/IziRjGH8Q+KD4hQ59QAoBll4YVxoI8ZOCxxqn8FQP6leVednyarn5GqynqkysiWYn0+bIzj8jCtcW12JG7ZgUfVwYXKwc/3JAfFMv/AISo8/pAuVG+LneDYWg6bsLEa02oSnLyQP8As+O3TCh9T5BLEHgREK9Sv91p2pTV97bh726nF1Yug4y6XgEjh+Oz08zLlW/Mw4KrErDijZJ9NYLlD69rqYpTFKYpVtH0Vtax177pq2qUSSXS03qqyXGMQXRIsmFks7+PpEY8IBymAjhjEScmKZviUx+Q9QAclfsxpsedvP8AFSgFcPFeQA/bciJT7Qpe3tqvXxPa5NpPbAafASG1PUIoWINvu4ladh7GdYrjxAqC3a/bUjvbs5vfask5XcBYNk2OIgk1zAcY6nUp+vTqjFIiBSgDdtDwxFRAAABXcKn+JxEcH3Xq0mu7mz9UkJPmZLqt/COMmONfYFW/tJPjUrdvtuwbT2LpOgQKAYcGN5CPrTTqJpnPrLuR+iqjwrQGdBWX15xStv6B0ddeym4qTpDX6bYLFd3T0q0nIJqKw9YrcU0M9slrnCImIqpFQ7EAL7RDFO6dLotyCB1iiHb6BombuTWINE0+34icm7H6KIou7t+ao8OZYqo4msb3furTNkbbyt06wW/BYqrZVIDyyOemOKO/DrdvE8FRWc8FNZV2o6w3rqBuKQ0tfHEfLKt4KJstTtkKxdR0BcanKAq3Skopk9Oq4YrxMq0cMHrYVFfYcIAYpzJqpGNyt07Yztoaw2i5xVyEV45FBCyRtwDKDxBVgVYXNiOZBBrgbB33pXcfbabn0lXjVpXilidg0kMyWJV2WwYOhWRGsOpWsQGVgI65j1ZnTFK2DqPZs1pTbOsNw11czeX1pe67akzFUUTK5i2r4jWyxa/tmIZRpNVd49ZqkEfExFx5zsNI1OfRdWxdXxzabGnR/aoNnU+pkLKfUa6fcWhYu6NvZ+280A4+diSRexyt4nF+RSVUcHwK1bJ9cagw8R2L1DtuCQTIjuLUa7aZdJgIBJSmv5doSJkDgPHKy1btyKAj8fbapgPwDJW734EMO4sPVoAOnMxCGP2miYdJ9vRIB7FFV6+FbV8nI2ZqO3csktpuogoD9VchD1r7BJCze12qlvIZqztfVs6MwdspAoiU0e+ZSACHxD5F0i6/mSzZLCMiF8Y8pI2T+EpX+rW14/NRoj9dSv8ACBH9WrWgXI6Km7TEBTeIovUhDjgUniRHKYhx6cCRUMp/5bQkwt9NGKn2qSp/KKgnpKExnmpIPtBsf3KZrSmKUxSprfT62ElQ+zEBGvV028ZsyBlqGudTngZgBSsFaL6AIFOs9ilWxB/q3IB9uWD+F/dCbb7uY2JkMFw9XxpMM3/tvCaD5S0bRj1yAeNRb3l0VtX2JNPEC2RgTJkC32OMcvzK6sfUtaQ7F65V1LvbaFEMgZBizs7yer3IgYFqvbVD2CFUTMAAUSNyPVGo8fBRscvpxxkd91dqPsnuRrG3CpXGTMeaD14+STNER+j1tH7YyPCsr2Tra7i2jp+rg3laARyeqWH7t7+3pD+xgfGtMZgFZPXg3wH9Q/zZoeVKsd28lYWOo/p3W2G1/LbEb0yqJWKRr7SuTE/FSSUcFLfpxUyMXGySbVCTI2MCYqkEomLz4nKUxctfvmPVMfY/azW8DTJ9Vi0/CE7wrBLNHIE/COI5fLRwokCm3UCCRezAEVCe23wpdyb103KzI8J8rI8tZDIkbqW89S6dbLcrfjY3seYJBr9lt3lKbR7Y6D3M/wBDbQ11UtdPEY2xv3lDs0pOPGkgV+3Ul5b8mgFCHia4L0oIpk95ciB3CnHqVMPvrfcXM3l3s2zv7J21rGlaJpUgjnd8PIkmZX6wZZfKhIMUHWOkDrcIZW8Qo+OnbTx9A7daxteHWMDN1HNUtGoyIkjUr0kInXIPfk6TcnpUsEHgWrN+3fVcZKqbl7EF7KyhKxaQc2ev6+sYzbOnSDl01ZtoqoNSr2NVJZzJPGnDNIIzkzo5eSFABOGSd8uzZy9F17uj/S2UaPmdWRDhT+amK7MFEeMt5yGaR1tEvkXMhUdKgdQ6vtt3BEGo6Zss6FGc/HtFJkRdDTKASXmNogQFB98+b9AHieR5lLa/WHekt1/33Z+xL/TU/oCLZks+qFpAjFJaSY/LrOWqLYhjrOGbty1MiZdiR0MjGGKgYiRvIC85N6doO42btnuVrG6ZdB1PbMKjI04v0AyJ0llCjiysy9JeESGfHIjKobgcVtvb92ljazs/A0VNTw9ZkbyssL1EK1wCTyBAPUFkKeXLdwWFidV03X7Hvlu7fmw6XuaW0qC0hAJwNdgvnkbbZ6jHQbSBa3Oaj46xV86bNZ4y4APNyZusqKavtG8fcwvQtr4/xJdwtzbp0DX59v8AVLCIYIesZORjRwrCuVKiTw2UsthxkKOxR+g268g1PWZu0W1NH0XVNLj1WySeZJJ0mGKZpDIYEZo5LsFb0KGUdS9Qv0433yuFMdDozUVZug36d0jVZmsXmeKKinhNkaViFI3k11nDtT+InR4Bdw7QFVU6AHJ7hxMcM6n4lNd0Cb+jmx9I1D9p6lt7Clx8ybifvQuPEFkJZj57GF3kTqYpcdTEtXO7Q6ZqkY1bcmfi/g8TVchJYI+XuEyuSoAH3Y8xVRrANY2FhVf+ViqYq2XXNK7ouUO1sNQ1HsWz1997nyE5C1d+7i35UVDoqqMnfiRN2iRUhi+4TyIIgPAjmXaT2+3/AK9gpqmh6HquZpkl+iaLHdo3sbEo1gGAIIuLjhwNdHnbo2vpmS2FqWpYWPmpbqjeVQ63Fx1DwNuNjx9VYVPV+wVWXeV61QMxWLBHCl8/Bz8e4i5VmDhIqzc6zN0QioJOETAZM4ckOH7IjwOY/qel6poudJpetY0+HqcVuuGZGjkXqF1JVgDZhxBFwRyJrtMTMw9QxlzdPmiyMN79MkbB0NjY2YcLg8COY8a4nODXIpileSxq00s0g2xDKOZ5/HQDYhAETHczj5vFNylAPURFZ4GapiSahLHp0IvNkypCo9LTOIx+VhQzpiq2XJwjhRpD7I1Ln8grt0wcWjBwsPCNv8Hh4uPi0P8AWY9oi0S/+giGe4unYcenafBp8X6qCFIx7EUKPyCvODLyGy8qXKf6csjOfaxJP7taL7c2BSrdWuxE+lyC0dpfZCiIl5AxFlanKNklCiHqBk1FgMH6QzIdCiE2tYkR5HIj/jCsI7gZZwdjaxlr9JNNyLe0xMB8166RDNEG7Vq3L8EG6CJePhwmmUgcfyFyxZu78OZNeY6hYYgGNkVefoAFa5n3HzMu7MA8kQMVqn9wlQL4mMH9koJs8sfiA3Edy93tYnRurDwpEwYvR0Yq9LEfpStIT6TX6Vvgb2EO3vwr7UwpY/L1XWIJdZyrj3vN1KQyRq36GKmOq35DhXDZDtWwpilMUqz3qXfvpU1zUDKM7b6cv1w3WWdn1pqfRirzYIN5ELSS560SujULBEsYpi0gxQSXbLJC5F6RZUxzkUJ4ybtPP7WY+kLFu3Dnm1rrbqcLK6lbno6PLdQoC2BUi/VckkEVBXcLSO/+buNp+3epYmNtfyowkZeCN1cKPN8zzo3Z2MnUVZT09BVQAQb2w9EN+fSrY78b0nqXrqz612xtOtycASRm61sCKjJ+LrCatsUrwyFrsErGJSAkaLOW6ZSEWW9g5SmHjxGVti672sTXhhbTx5MbVcqMrdklUOqfedF5HYX4FgLXNjx8Kr33Z2j3+l2idU7h5sGdt/AnWTpSXHdo2ltEJOmKNGK8QrEkheoEjxrQm9HP0TNDba2Fq3a3WW7xl9qU0LyzkZ1HcEkxensqCdnTsEQ8YXIyEnDy6UoZdJVAvgYQOQpQMQSB0OuHsroOrZGl6rpky58T3e0c7A9fv9SkScVa9wR6xbhasu2onxRbt27h6/t/XcV9IyIrRXmw1ZfKJi8t1aG6uhXpIY35EmxvUWe/v09o6nTmmttdJq44vejOxjmqVepVesv388yrV8tiJFqc+Yy8is8etNdX2OVBQ7p2qdGHdt1BVORJwkQmLb+7fxYc+Hq2yojPoeolEjRCWCSyC8ZDG5EMo49TG0bA3IDADPe0PeKbUsXU9u90Z1xN16Ksss0sqrG0sERImVkUKpyYGFgiAGZWHSCyMTvLtX9IyqaS6WG2JQpOXt3YPT8Wyum55JvJyTqGu9Z9gy1+bQFSUE7eDb05mc0hEnTIg4VYxypHAqqr8l7zdXaXF0XZn7QwGeXcGGokyCGJWVP5ULHyURj34yACVQ9Vy3DFe3/xFahujud+xtXSPG2dqUjQ4SlVDwS3tjmSYcZDM1o5QSyh5FKdKpx/d0YhILoR0W2r9QHYccipszctfZQmj4F6UE3rmsSLgyOsIVomuKZijsuznLPvzAAiWEbNlR9G5s37Hgg2HsbK39qKj9p5kYXGU8CUJ+5UX/tz/ev/AHJVP1a+XdXKy+7ndbT+z+jORoWmTM+dIvFRKovlOSL/AOTRf4vH/d2kX64rm9wJrfVH+nBXd8xzKOe9surAyyV+h4Fqm1Wn3sPGMVdlwUZGgsCyURsSrItLLBoCBwK+RRap8mKrnI1kf60O3Sa9EqndWllvNVbXYqB5ygcPdlj6Zoxb6YCjxri7bK9he9c20p3de3uv9Bx3kJIjDswxpGa1i+PKXxp24XjZpDw6a1f9PH6Xuu+z3WGx7m3E/sELJ7XPJsOvMrDSrlgWtQUUiu2ZbGPDpuUGdqVsdhbLqotHpDIqQ7UgkAouBUL1nb/tfg7j21Lq2tGWOfKLLikEr5arcCUrcByzgkKwt5ajl1XHfd5O/GsbF33BtrbSQywaeFbUVdA3myOQWxg9i0QjjKhnQ9QmYg36Ap1N0o+mXcb72N2bW+01fc1bUXWaScMdpuFHT2Ag9l2E8aWXrkbWbEodgv8A4vn1ZcoWGRfoKkOmxXbNDKJKrLij1Wy+2eZnbiycfdMflaRprETcSqzPa6BHuCIilpXa4IQotwWJGQd0O+em6TsvBzdgzDI3FriBsUWWR8aPq6JGljHUPxCyhseONgQZFeQBlVOqTtDkvoY7d2ZVtPUPrhbbXZ7/AHD+CKuLCqbkLBzThRd2Q0yjKLXBBJGqljWSz875QqaRI5MVjABfTMlwH7H6vqUWj4GnSy5M83lpZMjpY3PvBjIPcsC/UbAJ7x4VgurQ/FXt3Q8jcmra3j4+Bh43ny9UuH1oLD3CghJMvUwjCC5Mh6RxqWffzdf0wYjZ1Q1B26oNg2FddY0xtIV1jX67fZhjTYG5mTSRjXL2qzkS2JIyTWsILCit7qpG5Uj8lBQPLK9+612xh1OHR9248mRm40IKBUlYRpJ4Eoyi5CA2Nzax8aj3tDtfvtk6Fk7j7dZkOHpedlFZGkkx0aaSHiWCyo56VMrLdbAt1DjbhVH2S2L9IGc0teIrrbpLYNZ3e7j0Sa7nywmw4FjFToO0DEeTr202eQiFYBJuCgu2xkFVHKf7tICqGKoSKtyaj2in0WeLbmFkRa2VHlN0yqFa44sXcr02v1CxJHAcbEWC2To3xHYu58TI3vqmHPtVXP4iPzMeRnjseEaxRK4kJt0MGAU+81wCDU2YoGKJTByUwCUQ+8BDgQ/lDIqBINxzFWDBsbjnVjGn57+ItbVZ2c4KOmDM8A/Nzyb5yEUFpyb4iHm0BIwc/EBysm9dO/Zm6MuEC0Uj+cn6Mo6vyN1Cog3Di/hNZnjAsjt1r7H4/u3rZOYvXTUxSmKV+ho+kop6wl4V6pGzUPIMJiGkUhMVRhLxTtGQjHhRKIGH5d63IcQ/pAAh8Bz64+Tl4WTFnYEhi1CCVJYnHNJY2Dxt+9dQfWOHjWySKDIifGykEmLKjI6nkyOpVl+VSR6udWk9pYZj2o670HtzQmIGtVIh14LbFeZFFd4ziGS3nZ2x0UzqKnWoc8Kj1LkonViHaqwegkAbld5NPxu8/azTO+G2o761p+OYdRgTiyRKf8YUgEknDm6pV4XbGkeTkVvAPb/Kl7fb0zO2+sP/AOH5cokw5G4KzsPujc8LZEdoz4CZFX01VaUxTFKYogYpgAxTFEDFMUwclMUwCIGKIDyAh6DlLwQRccRVgiCDY8685rWlb/ofansNrGssKbR9mP4mrxXuFioh1DV6aTi0VVDrGZsHEvFO3iDEqqhjER9wSJ+XBAKXgAk7bfejultDSI9B29q8kOjw38uJooJRGCSelGljZglySF6iFvZbDhWHav2+2Zr2e+qargJJnyW63DyJ1kC3UwR1UtYcWtc+NzxrMDd5+2RimKG3VCiICAGCn0nkvIceQcwIhyH2emd6fiN72EW/bhH/APK4n+BrrR2m7dg3Omi39+n/AMJUl0tz9fO32uaVF9rr271fetOyZZiVeNZRaIruz4QrMqEy5YNEElGachOM24Ect26RJSPWOf5A3srcZLyb+7Yd8tq6fid6NSfR9x6DN5sjrIYoNQi6QJWRQCgeZVtIiKMiFi34Y9ElYK21959ttbyp+3mIufpOpx9CAqHkxZOq6BiSG6Y2N1ZiYpFA84dS1uzcfXBxsHePUa/6c1nWZHSUFH1p5aXjAKzFRQ1P83hZKGB7CP1mr2eaJ1zyMmT2VzeBhIIcm4GQN+dqZtz9xdj7m2HpGHL28xooGyGT8PHH+G82KSLricq8yiC5A6XNiV5m1Yttje6aNtPcmjbnz503VK8qxK3mu/ndDq/S6grG3m2BPUvHj4V42Ov0k1Pv6w79G6nitoazTkoqa0/S3h49ex3x7EtCsn5IJqm1UdPHMI7BFyRNYsOsoKaz0AXbGHNd1S/D3snuXldyjqHk7w0kPHLpmKxRp8xo16HEKhSzNEwSQKwxnbpee0kTE6aIndXcWzodn/hfM0DOKumZOvUI8dXPUvmEmyh16lJUzKLrF7jgVUXsS6z24dmXO/uK+qlOXiacT6tcrTF7NGjGiTZpHtWxCx7M7p78kwaIlcOhSKVVcTH4KBgKFG91a/qW+93Z+55MYjUdRyGmMECPL5ahVRVARSz9CKgeTpAZ7twuBVkNE0rE21oWLo6TA4mJEIxJKyp1EksT7xsvUzMVS5IWw42vWDykdLRzcfzSEnocHCa5W6kxBy8Om4UIkc5k26skzaprqlIAmEpBEwFAR44DMdzMTOxIr5mPkwBgQplhliDEAmymRFBNuNhc24122PNjTv8AcSwydJF+iRHI48yFY2HrPCrpNm7u2VpbQfRVPW8vGQyd5Pq6p2Yj2CYy5XcE4rldIq1ag6AAYLGKsb96n+MOc9At2dw917A7a9uF2rNFAupHT8bIDQpJ1QtBBdV6voHifeXjVXdB2poW6d47tOuRySnEGXNF0yMnTIJJLE2+kOA4HhUYfqbAAdjYIQKUBHVFfAxgKAGMBbJa/HyEA5N4+Q8c88c5Dfxe2/1q43AX/YsP8/kc6zzsOT/QiYeH7Rk/moar0yrtTPTFKk300oamxOzerIsURVjq1JudhTQmSFVErGnIA8YkX9BKAOLG4YEDn0ERyX+we2m3T3d0bEK3xcSZs2XhcBMUdSA/pTtCBf01gnc7V10XYeoZANp54xjpxseqY2a3siEhrsx5651ROon97OR6a9muP+pi9/6H5G65/wBLO721/wCf4f8AnCfu1gPdP/Zxrf8Ao2f+Ia6WwHBMnuj+ykmKo/qTIJx/0QLk/wA2ZHp2PLqU36rGhkmb2Qo0h+cLavOHD0qfX83G29i/5TqOVBiJ+llSpjqfkMgJ9labE4qmOqYeRVOdUefj+8OY/wD9rPFmfNk1LJm1OUky5U0kxvzvM7SG/wDCr9eeFpGPt7T8XbmKAMXTcSDDQDgOnFhTHBA9BEdx7a8Z865FMUpilMUrnatarNQ7VVr7SpQ0Jc6NYoi3VOYAvuBH2CBeJvo9VZL199ksdMUXSXwXaqqJj6HHPvi5WTgZUWfhN0ZkEiyRt6HU3F/UeTDxUkeNcTP0/B1bT8jSNUj83TMuF4ZU+1HIOlgD4MOan6rBW8Kv97ba2gPqd9WaR3g66wvnvnV0C5rG3dWsPFxYpWPhgCStmvyIJmMd/a6PIulJatnEANLxT06afJ3iBST5u3TcfubteDe23U/8dxYyk8A4uwXjJFbxkiJLwn+URiBxdbVC7d63l9it/ZXazecttpZ8wlxMpuEaM/uxZF/qxTqBFkjlDKgY8I3Ji19O36pifUrWFs1Tsqu2vZWvW6T2yaTRrK7EH9YnZFRy5mKDInmHLUkZSZmXV+dbuUyqniXKrtMzdQh0ip4t287ojaemS6VqUcuTp4u+MEIujG5aI9RHTGze8CLmMlx0kEAZ93m7CHuHruPuDRJsfB1liseaZQ3TLGoATIXoB6p0QdDKbCZRGQ4IYty/0+e/sy17g7SlO0FpiV6L3C82N9eTyxE6HSbfEMl2Ov2JCSgLN4qhDVFFKucFzERMHyazo3PvKD9u3+/p13flS7nlQ4OscJS5+6jkUERD3uCxdF4eNh9At4muN3h7Q40nbjAg2HjyDVtt+9jiMffzwuwbIb3LF8jzbZQ6QWH3qxj6IrBfqu9sK5vvcFb0/qORinOguu7AIauqVc7YKlZr+5jk46XloII8iTBxXqRAlJBxhkfNsChn5kDCkdMw8HuruvG17V49I0hkOg6cvSnRboeUizMtuBSNbRJbhfzOngRXbfD729zdo7bn3HuJJBu/WX65PNv50WOGLIknVdhJPJeeUNZreSG94MK1t9M7tqn1N7JRzu0ygsNN7cQY0Tah11DhHQCxF11KTsRymBwSTJVpZ4q1erCUwkipFdQeQQLx1vbXdg2nuNWym6dHywIp/Qp4+XKf0GJVj9h2P1RXd98e3h7hbJePAj69y6cWnxLfSkFgJ8ceJ81AGQeMsaAfTNSr+qb3Yj3e0tIaj6l3ODhKV1jfQ+yI+y61WjlaZ/jXbtVmVQgYlOEUNXZitUWqOF03jRLlqsaZO2MHKJgLlXdHeiNqmDpO1JkTC0xlmDwkeX54Fo0Xp9xkijJDKPdPmFTyqP8AsH2vmj0DVdxdw8WWXU9dV8ZoskMJvwhIaaRy48xJZ5QpRz7w8kOPpC/B90/q6SHZLrXCadpNVm9YTNyi0k+x8y7dNEoc0QyblPK0vX8mg/cyLmt2x6n5PnjorRZOJKdmYpzuFTE+O8+7cm49tpo+FE+LNMv+OMSOnpA96OJgSSkh+kzdJEd0NyxI5fbH4dYdk73l3JqmRFn42NITpqAEv1sfcnyFKhRJCv0EXrBmtICAig7j+n9pap9GdC3P6jvaGNWh5t5UjRWitfvEU2tnRr9kBJOMBhGOyAulsLcb0G7dkh4FPGwZfNbwKu8BHt9gaLi7H0KbuLudSk5i6caI8HCPysp4+bkGwUfUi4tYM9sa7wbn1Duru3F7K7DcS4q5HXnZCm8Rkjv1dTDgcfDXqZ2vaSc2W5SMtR9tDZdx3Rsm9bd2C6I7umxrI+s897CiijKPO5BJvGwEUKpjHLDVmGato5mA/wDo7Yph/EY3MJanqWZrOpT6tqBvm5MhdrchfgFX81FARfUBVptB0PTdsaJibc0dSumYUCxR3ADNa5aR7fXlctI/5zEDgBWC5wa7amKVKDrNZgbydhpzhUAJKNyWCKIYfi9jilbSiKfPoX3GB01eA9TCkI5E/dTSjJiY2txj3oWMMh/Mf3oyfY919XVWE70wuuCHUUHFCY39jcVJ9jXHqvUwMhWo9pilMUpilSr6ldlnHXO8vPz1NeU1NeBbsdhwpUjPDRp0yfKtLrGMQKcXLqMamFF+3KUwvI/0AplUEQGaeyHdyXtXuNxqQabZOo9KZsQBbyyB0rlxpx6mjX3JkAPmw8AC8cYqPu42xU3tpK/hCI9xYl2xnv09XiYGbwDH3o2J9yTxCuxrO+2nVBHWRP8AHRpr2bR16tpEZ1FeCVCTR12Ev4uEv3jYVfmdevjreTJ4Xksd5g3XEqYIqGyTvd2UTaI/p/sLpzO2GcBMDCfMGD5nvDit+rCe94pRcQX8qSydDnqO3XcNteP9F9z3x96YxMZEnunJ6OB52tkrazp/KW60u3UogyAgIAICAgIAICA8gID6gICHoICGVx58RyqWPV40zWlMUpxz/P8Ay/f+vFK2XSL5upurAa+1zsTZUcMzLM4GtVKu3KajGCspNPCNWjFg0Tfos2CTh04Dy8fbSTARMPAAOZht7cvcFHxdsbV1TVovPnWGDGgypY0MkzhVRFDhUDM3G1lUXPAA10eq6RtZ1m1nW8LBfyo2klmkgRmCItyzN0lmIA8bk8BxqUin03+0pyLPFUtdu3q3vPHHv3qRcP3bxcTOHHzD1zXzfMPXDg4+aqig+ZxExjevOTG/wod5GDZEg0t8hrsb5jl2Y+8ep2g952JN2ZuJ4k+NR+ve/t+CI1OasQsotAoUKOAsok4KByAHAcAK3Z9OQj2lMO2Uo6h2ze30aOiGKyEm3KZywkK6zvCz6DcLIHBYGQTEd++IkoBVRIBgEeCiEg/CkuTt7G3tlzwImu6dFEhWQXZHgXMLxMQb9Pmx+8FazWBB4A1i3e0w6rLtyCOVm03LkdgUPBlkMAWQA8Orob3SRcXItzFcxtPc1j7G/TZse0b5CVhhYl7bFIpNq81ekjWCkTf4qNbPGH5s8kXrd4ozVOQ5wV9SqHKHBTCA87eW/tV7rfCZl7x3Jj4cWqtmxgLAr+WhjzY41ZPMaR1YqSCerkzDkSK4239sYWyO+UGgaRLO+EMZyTIV6m68d2Kt0KqlQwBAtzAPMVj/AGf/APgN9On/AJTao/6P1jOu7vf7Nu1X+eab/MY9c3YH/vDe3+b5f85LWuPqbf5xkD/kogf+klpzEfi9/wBquN/oWH+fyK7rsP8A+yZv9IyfzUVV55VypnpilWlfSfjUpK+dgLEmUpv4XhtfUpRcSGEQkZ0Ji3PmaKn7JRQjAjVFi/HlYnPwy9fwZ7ZCR61vGdSJJTDiQn8xOuWUj9JzGPX0eqq//ERkNBpOj4BP6+TInt+anRCpI9beaFPqNXaZeeqsVoftJW/4v6179rIEFQ8zp3YzNFMocmUcnqUqZqQA/r3BChnZaNL5Gr4s3guRGf7IXrFt8YX7R2Zq2Fa5l07IUe3ymt+W1dGgzr3q+Z4Uf7fDguA/6+1KYB9f7PJZ7mZLaf253DlobPFo+Xb2mJk/41Uf+HXT49d7+bD0yUXiyd16XcekLkJL/wAStYAHAAHw4AA4zyAiUJEqDkFA+YV+q7JkMuTJK30mdj85Jpn0r40xSmKUxSmKVLTpp3C2H0u2wTYFRSXsVMsQMIrbGtBdFbtLzXWaigtX0aosYGsde6wVwqpFPDcFOVRRouPsLCKeV7O3fqGzNV/H4gMmFJZZ4b2EqDkVvwEqXJRvHije63CPe5fbfRu523jo+okQ6nD1PiZNrmCQ2urW4tBLYCVBysJE99bGxbvB021Tv3WEx9Q3o5LRMxSJiPl7ru/W7L240zNxGIHkLpcYeKUEhqxeq+Uii1lgVwS+aEh3SPDgTA7kTe+ztK1/TH7hbHdHwXVpMmEe7YqLySKv1JV4maI26rFh7304X7Wdy9wbR12Ps33Ujki1SN0gwck+9cMemGF3H62CTgMadb9NxG3uW8ujP8CqYgIFUTVJwICAGIdM4fASiHBimKPwHIP4EekGrV8VPoYV5KUpClIQoFIQoFKUoAUpSlDgClKHAAUA+AY5cByrQkk3PM15/wC+AgP6QH0EP1CGa0r4mM2ZNznOZFo0bJnUOYwkRboJE5Oc5h/CRMhfURzb7qLc2CD5AK3APK4UXaRj7STV3HRjoFTKdTE+8PfNRjr/AEpSWrS50PWl2RM1PYzNzpuYO67IhV0jPFY5d57JoCrAio8lnZ0lHKQlFFotNex9g4eHh/033304+iwASRQyC3XbiskynjYm3lQWLSNYsOSNVzut3e1PUtTPavtKHzN0ZTGGfJgN/LvcSQYzg9PUBf8AEZVwkSBlja/VIsLe93d+592tnozS7aQqunKS5eo6l127UArpuRwQzV1fLmkioo2WvU+0ESFRKY6UOyP8qkY6h3Sy2G763vm711MTMGi0eEnyITzF+Blktw81x4cRGvugkli0ndp+1mmdrtCOKhTI3LlKpy8kcjbiIISQCIIzx6uBmceYwCiNVg/mEVKdMUpilcrBTb+tTcTYYs3EhCvkX7cojwVf2hEF2inqACk8bHOkbn04Pz9mcPUMDG1XAm0zL/yaeMo3qvyYetWAYeyvhlY0WZjSYk/6qRSp9V+R9oNj8lWcQkzHWOGi5+JU92NmGST5oIjydMqoCCrZYB9SuGa5TJKAPqByDlU8/BydMzptOzBbKgkKN6yOTD1MLMD6DUK5WNNh5D4uQLTRsVPrt4j1EWI9Rrk84tfCmKUxSmKVK/rR21uXXhZauPGBr5p+YUXCc189WS92J+e8gfyNNWe+TNqd17hjOo1fhi8ExhAUVTCoaa+0fe7Xu1rtpM8f7S2LOW83Cci8fX9N8Uv7qlrkyQP9zLckeW5LGPN9dudM3oozYn/B7liA8vIUGz9P0VmC8TawCSr94lh9JQFEmLH1I0h2Ui32yum98goOSOUzue1FPC4ZRkc/UTBVdqSOMVWf189WcG8QTFBzEnUOIoAmn+LJe1bsh287tYUm7Ow+pY2Pln3ptMm6kjRyLlQnGbCctw6eh8YsSYwq8awXC7jbr2NOmhdzcOaWAcI8yOzOyjgCW4R5CgePUswAHVc8KgBsTTe2tSO1Gmydd2irkIqdIkspHnlKy6FP9tRnZ4j56FVRH4h5rJn4+JQ+GVi3VsLe+yJzBuvSszDUEgSlDJjtbxXIi64iPayn0gVMWi7m25uOMSaHm4+QSL9AbolF/Bon6XB9gI9dYTVoWZvU5GVikRby22SZWOhFQkAQj9+9OkmZZwcpUzgkg2aIEMosuqdNFEhRMcxQzH9G07UNx6jDo+3oZM7VZ2KxxQgO7EC5NgbBVALO7FVUC7MK7TUMrG0nEkz9VkXGwYgC8knuqoJsPWSTwVQCzHgAa2ptDrvu3SzFhK7NoD+vQsmuizazjZ/FT0Mm/cgYW0bISEI8epRj9z4GBMjgEyqmASkMY3pmZ7x7V9wu3+PFm7t0yXF0+ZgqzK8c0Qdvoxu8TuI3ax6Q9gxFlJPCsf0Dem1d0Svj6DmJPlRgsYyrxuVHNlWRVLKPErcgcSAK/L18/wA4LRP+Vyi//vbfPj2t/wBp+3P9N4n86tfTeX/szV/9Gz/xDVvbCx2Q31PJutGsliNWCaOQfErBpyUGtpvhbxgi+JAi6/KiPREwj7oI+5yI+vrl5sbVdWPxgZOkHLyv2QNuK4x/Ok8gP0x++Ieryw/53T1euq2zYWCOwsWcIIPx51Yr5vlp5vTdvd8y3X0+q9vVWrepv/rr6jH/ACks/wD9faGYb2S/8x7q/wCeZH7uoVkPcX/JNkf3iL9zFrSVY/8A8kpz/loH/adD5Hmjf/shyf8ASH/+QirKtQ//AHGxf5r/APhXrO+z/wD8Bvp0/wDKbVH/AEfrGZP3e/2bdqv8803+Yx66jYH/ALw3t/m+X/OS1rj6m3+cZA/5KIH/AKSWnMR+L3/arjf6Fh/n8iu67D/+yZv9IyfzUVV55Vypnrh7DPx1WgpWxyxgLHwzM7xcnPBnKgcEasUfUOV3zoxUiAHrybn7Bzm6bp2Tq+oQ6Zh/5TO4UHwUc2c+pFux9lvGuTiYk2dlR4cA+9kaw9XpY+pRc1el9IOgSlY6bwOwLGmBbT2Audv3XKmOiZJckbYnqcNTmpxOUpjN0KZX2BkQ/ZBNQBD4jnrT2Q27Btzt5h42OvTFL1SLwseg+7GT62RQ59bGqkfEdrEGody5tIwzfB0jGhwl43HVGpeY+0zSSA+sVaJkuVA1fmes20gzdx7xIq7R82XZukT/ALKzZykdFdI39aokcQH9A5qrFGDL9IG4rZJGk0bRSC8bKQR6QRYj5q6FGzKa+13Z9na6kkTN39Ctt1prhAwcGTLW5+QjGoiH/lmLZJQPvKcByWO6En7Q7Q7gmi4+doMzj5Ywx/cNUd+HXFbbvxWbJ0/LHS2FvjFhPq6ch4l+e6n5RWgQzyUXioPqr9Q8gtIwPMMf3aZurZTFKYpTFKYpTFK56Pud7rlZuVUqdws0HXL43QJcqlF2KUiard1Y4gjGJ26IZuUmUskgcpSCZUhjGSACGExAAufePNzsfGmxMSaVMacDzI1dlSW30fMUGzW9fhwPCuJNpmk5ufjahqGNBLm4hPkzNGjywBvpGF2BZCefA8+IseNWzyf04da7x6g0nsV0Uudl2Ze67BJJbp1XZpBuvYZ20sY1qtcYeuRYosz0y+1uRFU7SFOJmUwwUT+WVFQzdZzK8nbnTdb2jBuHYs0mTnRp/jMDkF2cAeYqLYeXKhv0xn3ZEI6TcqzV6g71a3tbuNlbM7sYsGDpM0pOFlRKRHHEzEQvI1z52PItg84s8MgbrWwdUp4IcD+X4VUzpqrN1kV0VWzls5bKnbumjtquRNw0eNHCZk1kVClUSUKYhygYBAIgBv6Qb2IIsQRwIIPEEHgQeIPA1ZEgj0EEAgggggi4II4FSCCCCQQQQbV6rLJNkVHC6hUkUS+aihx4KUvIAHwARExjCAFAAETGEAABEQDDMqjqY2UUVWdgiC7E8BV5/TfpBrjrtrkve/6ghUKpU6smxn9VaasbIXEipKLGBasz1urBwM5nr7MOgJ+QVkCHM0UErh2X5gPBpOGztkadt7Tv6db/ALRYkQDwY7i56vqNInNpWP6qG3un3nHVwSqncrunre89a/1T9nr5GoZBaPKzIzZegcJY4ZeUcCC/4jKuOsXSM9BvJADut3d2d3Y2AnN2Yrup6rrD5ZXWOpEngLMoEggdElptqjc3yk/sF+2MPmt+NvGJnFu0+Kq6+A703tqe9c8T5N4tLiY+TBfgv58luDSkePJAelPFml7th2t0Ltfo/wCFwenI1+dAMrLIs0nj5UN+MeOp5LwaUjrk+qqwzzDqkymKUxSmKUxSpG9f9jJwEkekTbgqcNPvPeg3Sx/FKKsC/iQ7RQ5vwpMp0QAOREAI6Aoj6HHIx7j7YfUcUa/gLfOx0tKo5yQjiGA8Xi4+sx3+zWH7r0c5UP7SxlvkRLZwObRjxA8WT8q39FTUEBKIlEBAxREpgEOBAQHgQEB9QEByCgQRccqjfnxHKvGa0pilMUpilfuiJWXrsuzsFamJat2CPMBmE9X5F3DzDMSj5FBF+wVQce15ByKZhMkb+kUc5OBnZ+lZ0eqaVPPi6nEbpNDI0Uq+x0Ia35pJU+INfLJx8bNxmws+KOfCf6Ucih0PtVgRf1jiPAipx6++ov2DqDVOLtyVU2zElTI3ONnYmg7AdsUPE5VpqCT+ReqqF9BMvHnMb7RHLFbY+KrufocIw9cXC1vCACn8QnkzFfG8sI6HJHi8JJ8SaifWeymzNSkORppyNOyb3+6bzI7+pJD1KP0ZBbwFTI629xdCbG2knEL6brWkNgz0E9j4e7GJUjtLA7Mu1cr1ZOfZRsPIpvH/ALBXKCLohE3Rm3tlMZUCFNPfafvv203VvEYL6Dibe3Pk4zJFl2xumZrqxxxMkcThnsHRJAFkKdIJcKDGW+O2e8NE2+clNTn1bRoZlZ4PvrxixAlMbM69K36WZCSvVcgLcj57cb3LSfUreNU7PbkidwW3ZEnYWes2JWabCREZgWoV+PYtjpIOjlhpNAZNQSpi3ik0/BNUxSEEdm+Ite7e9kdx6L3f16DXda1aWdcBOkJJ970+SiKQGIikH4hrDox1XpVyFUndtx9L3V3G0nUNhaZJpum4McZym6iy+5fzGY3I99D5Q49UpNyoJNVQ6BWSbb60c4dLooIN9rUhZy5cKJoN0EkpluZVddZUxUkUiFDkTGECgHxHKVdsZEh7l7dlmZVjXWsQszEBQBKtySbAAeJPAVYfeCtJs/VkjBLtp04AAuSShsABxJ9Qq9NvqisN+3Eh2aHcFNMwe69To4Uv3Y0rpJZNJomMkM7+fCmYg/Lc+18qA+v7Xpno3FsrSIu+Evd067gHGk0sYn4W8fUCAo8zzvOsR7v0fL8edVLfcWe/bhNh/s3K85c0z+fZrEXJ6fL8u/jz6/krH9P6OrWr33ZZ243TS5sN/SkrIMk0hjWA1Uska1iVFwY1hdfnAo/xIXkxQb+Xsj6B5enWbF7daTs7J3dkS7g0/IG5ppHQDy0/Ddf4ng337ebbzxxHRfp8L8ObuXdudr8OhRJpeVF+xo0ViepvN6fJ4j7sdF/KP2rdXq44LFdXa/G9O3/Vo2+aQtIPZz83C7g2jiNUy/xUysfy4wA2cyhx8Gns+XzYepvLj08cxvC7OaZidiJezZ3LpzZUmT5v4vpQKB+ISfp8n8Rc8F6b+Z43t4V22Rv/ADJ+5idwP2RliFYujyLtc/dNHfzPKt43t0er11z+1evFc2Rr7rVSEN4UqHW0DKVCReSSqcc9Jai1iOimCiLdqWyNhhxejHCYDGO49vz44NxyPa7z7W6VuvbG0tvR7i0+B9szYrvIQjjI/DxxoQq+evldfRcEl7XtxtXD29vXN0PWtd1Z9JypV1iOZVUFl8rzWdrk+Uevp6rclvbwqB/1J5KNlewkA7ipGPlGo6rgkxcRr1q/RIqWyWkTIqKtFViJrAUQN4GEDeJgNxwICNa/i0y8XN7oYs+HLFND+xYR1RurgET5HAlSQD42PGxBtYipc7GwT4+zJo8hHjk/aEhsylTbyouIBAuPWOF7jmKgCUBMYpSgJjGEClKHqJjCPAFAPtERysZIAueAFTFyF/Cow2NhN9m91a36za9WMqlb7zF1N5JNRUURVkHJ1TWieFRuU4jE0KrNnzoFOBKZdA5g+BcsV2l2JlTzwGVSusao6xRgjjDjsbsxHMMyAyN4hFUeJrNMbIxdjbYzt76wAPw2K0wU8+kW8qPj9eeUolvssB6a7vdTrENSatWqZXGhWFeqUBD1mCZFEBKzh4GPbxcY1AQAoCCDJqQvPAc8Z6g4mLDhYseHjjpx4o1RR6FUBQPkAryw1DPydUz59TzW68zImeWRvS8jF2PysSayDORXDpildSn6tGnja27cWqwNGpW9f3jU2Gwo8yZT+2axx7VOpXRATmDw+YF1HMXhygI/4fz9uStpijcXbvUdEbjMcDLx7ekPBIY/ymw9lUx31Ee3nxD6HvKMdGG+taXngjkGhzII8nj6lUOfU96p2L+yH38Bz+sPj/p55JY3V+HQP9MIAfaBx/LX6eM/oOdMYreUZWK+gqSSpHqIsRXnPvXEpilMUpilMUpilMUqR3VntRtfqBtBDZurHhHbZ8DNjsDX0k6VQq2y641UMJYyW8CqhGz8cmqoaKl00zLsVTCQwKtlFkD5FtfdOq7R1ManpZurWEsRNkmQfVb0MPqSAXU8DdSVOFb92Bt/uPoR0PX1KunU2PkKAZcaQ/WTl1RtYebCT0yAXHTIFcW59nurepfqI6se94ui6SJdsCmdTdmkxTbRs1a55g0TVl2MhDJqCjA7qi24AKapR+StDb2ze4c50HRpa3PtfSe4WltvfY4H7V/6zjcA0jAe8Cv1clRyP0ZhbiSVY122Jv3cPZrX17V91if6PXthZtyyRRsSEZX5yYTnmPp4rX90APGOA6e9LdZ9TNao98/qBo/wwWtgxmdR6UnmIOJqInHJTLVl/P1RQffsG45pYgfk0BwJYTgXDnxdEUOw+G0NmabtPTRvvf48ryrNBjMLsrHihZOb5DH9XF/J/Sb3gSnL7kdztc7ha4e0vZ8+eZ+pMvNjayPGOEqxyjhHhoP12Rzn+gl4yBLWl3H7lbR7pbKC53j3a5R664eJat1S1e/NQ9HjXACieUk1kvBvPX+YagHz8kJfBIo/LNAI3KIqxtvHeOqbz1L8Znfd4UZPkQA3WIH6zHk8rD6b8h9FbLznDtr200Htjof7M0q02qzAHKyytnnYcelQeMeOh/Vx3ufpyXc+7ErMTqQ6YpTFKYpTFKYpXgxQMUSmDko/HgRAfvAQEBASmAQ5AQ9QH1DNQSpuOdASOI51N3Se2gtTdvULK6D+K2SHtxb5cxSjaWLcgAUhjDwBp9kiX94X4uUy+ZeTgcMgXfezTpEra1pSf+DyNeRB/wBXdjzt/aXP0T9Rj0nhY1Gu5dAOE51DCX/EGPvKP5Jj/wDw2PL7J4HhapCZG1YjTFKYpTFKYpTFK9FE01SCmqQqhDcckOUDFESiBiiIDyHJTAAgP2CHObWVWXpYAr661VmU3UkGvdQVF1SLuXDt4umn7KS7526fLpIenCCKzxZdVJuHiH4CiBPQPTN7tJI4kmd5JAtgXZnIX7ILEkD1A29VFsilIwqoTchVCgn0kKACfWeNepyEUIYihSnIcBKchwAxTFH4lMUeQMUftAc2kBgVYXUixFASpuOBFfj/ACyN/wCL2P8AvRv/ALXnH/B4n9qj/gr/AFq+v4if7b/Of69PyyN/4vY/70b/AO14/B4n9qj/AIK/1qfiJ/tv85/r0/LI3/i9j/vRv/tePweJ/ao/4K/1qfiJ/tv85/r0/LI3/i9j/vRv/tePweJ/ao/4K/1qfiJ/tv8AOf69fpRQQblEjdFJEhjeQkRTKmUTCABz4kAAEwgGfaOOOJemNVVL3sBYfkr5s7ubuST6zeo77u22FdQdUqrugGyvERRnZJucBGtMlycHYt1C8gE+9RMIDx6tUjcj+MwAEobC2b+05E13Vk/8KRrxIf5dgeDkf2lSOHhIwt9EEnL9taB+LZdSzl/xNTdFP8oR4n+5qf4R9QNWi/Q06rqLvbd2/tcYJGSLeV1fpMrlEwe+kVyRLZV4ZCoACZJd6zTg2ixfIDA2f8D4qAI357I7YaSSbeGYvu+9Dj3HPj99KPVcCJSPQ/gar/8AFXv8LFjduNPkvKWXKzbHkbf4tA1vEKTO4/Oh8VrsjZYyqT0xSmKVVj9W7QDjbnWg+wq+wUfXHQMk42A1QbJqrO39HWagw2PGIIpAIqmSgyElAKPxUiygHqOZxsHVk07XUgyP8lybI1+XUDdPnN09jVAnxFbOm3NsGXUtPBOraX1TIRct5RXpnAt4qtph64hXT4eJAg8dIlMU5COFPbOQQMQ6Rx91I5DByBiGSOAgIenGecW/dvybU31rO25Bb8Hqc6L+gzmSMj1eW62r3M7Jb5h7m9l9pdwYGDDVtu4Ur2N7TRwrjzg/nCeGS/jX5sxSpOpilMUrLKVQb9syeCq60otx2LZxamfDX6RXJSyyqTEhjFF66bRbZx8izExRKVVcU0zmASlERAQzlYWBn6lP+F02CbIyrX6IkZ2t6SFBsPWbCuv1TV9I0PE/aGuZeNhYHV0+ZPIkSFvsguR1H1LcjmRW5jdMu5BCmOfqd2FAhAExjf4sZ83BShyI+JUTHNwH2AAjnc/0N3iBc6VqH/Qv/WrGR3N7ak2G4dGuf/vUf9eo7PGb6NfP4qUYSETLRTxaPlYiWYu4uWipBuIAuxk4uQRbv494l5AIprJkPwIDxwICOPOkkUjRSqySqbMrAqykcwQQCCPQRWZxSRTwpkQOkmPIoZHRg6Mp5MrKSrA+kEitpaV0JujsdZVKlo3XFg2HKtFU0Zd7GpIs6tWhVESlPabfJKNK7BAAh/alVxdGD1IibO00XQdZ3HknE0PGkyJQfeI4In6cjWRfYT1egGug3Pu7bGysEajurNhwsdhdFYlpZbf2qFbySe0L0+lhU5ZP6N/fyPbkXbUbVs4cUynOzidtR6TwhxDkUQGchIZic5ftH3wL9w5nEnZ3fsa9SwYrm3JZxf8AslUflqKoPiV7QzOUfLz4hfm+IxB9fuO7f2NcBqDXn1E/p+bUb7ehOvW22DBqDRhsOHjIUbxQth1FBx5rwlhUoTyyg3dtSKHPGSftlcxzg3JfNE66KnH0jTu4ewNVGrwaflrGLCVVXzIpYweKv5RexHEo9rofSCynl7k1jsz3g0A7dytZ055mu2O7P5GRjzEcHjGQIrg8BLFcrIosbMFYaD7idw9m9w9uqWrZSq9Zi66d6z1rpxRV22Z63iHHim7VWj36DB5K3aYTSD80ll2yahwAG6BEWqZUx6HeG79T3fq5ytSJiijuIcfiBCp5mxALSN9eQgE/RUKoArL+23bfQu2+3Bp+hgTzzBWycywLZLjkAyllSBL/AHUSsQPpsWdi1RazF6z2vmqskj7QKHApl1SN26YAY6zlwp6JtmqBAMs6cqj6ETTKY5x9AARzQsBa/Mmw9Z9AHiT4AcTW5UZr9I4AXJ8APEk8gB4k2A8asR0F9LTuV2Bj0Z9lRI/UdRdtgcx1k3S5kau5l01EyLNlIumsI2UuJmjpJQBIu7askxAeS+YZIWg9rt46/GMhIFxMQi4fJJQt4jpjAaSx9LKo9F6hnd3fvtps+Y4cuW+o6irWaLCCyhONiGmZlhuCOKo7n02qNnYvrNubqnfEte7prKMLJSTNxKVifh3ozFPukQ1XTbupCszny7QyyrBZdIrxm4RbvWgrJiol4KJnPje4ttaztXPGn61GEkYFkZT1RyKDYlGsL2uOpSAy3FxYgnNtl752z3A0k6xticywIwWWN16JoHIJCypc2DAHodSyP0tZrqQNC50VZdTFKYpTFK9iGOmomqkoqgsgqmugugodFduukYDoroLJiVRFZI4AJTFEBAQzQhWUo4DRsCCCLgg8CCDwII4EHnWhAIKsAVIsQeIIPMEeINTN1VvVrOA1rd6dIMLAIkbx9iW8G8bYDfsJIyR/wIxs2f0DzHxQcj68kOPAwdu/t9Np5fVNvo0mm8WeEXLw+JKDm8Q9HF0HpXiI613bEmN1ZmmKWxObR82j9a+LJ6vpL6xUkzFMQwlOUSmD4lMHAh6ch6fpAci4EEXHEVhoIIuOVeua0pilMUpilMUpilMUpilMUpilexSmMPiUomMPPAB8fQBER+4AAA5EfgAZoSALngKEgc6jLtXezeKK7rdCdpPJrk7eRtCAkWYQghyRVtCn/ElITBR5AVw5QbD+z5nD0lXaHb6XMKapuJCmBwZIDcPL6GlHNI/zODv49K8810La7z9OZqqlcfmsR4M/oL+Kp+b9JvGwrX/VfrRdu3W8K1pmoqPmaEooM/si7EId1/Amvm7xMtitLldQRKpOyKivyUSmobl1KLkEf3SS5iWP2rtnM3ZrMOiYXuREAyOBwhgWwZgBwBt7kS8AWI8A1uw39vjS+3W1p9zakEZ4x5eNBy8/II+7iA/ta/TlI+jEp+syg96TXlAqWqqLUdbUOHa1+m0evxdYrcO0IBUWMTENEmbRMTcAZdwciXmsqflRZUxlDiY5jCN49OwMTSsGHTcFBHhwRqiKPBVFh7T6TzJuTxNeUus6vqOv6tk63q0jTanlzPLK55s7ksT6hxsAOCiwAAArMs5ldbTFKYpXwctm7xs4Zu26Dto7QVbOmrlJNds5brpmSXbuEVSnSWRWSMJTkMAlMURAQ4zVSVIZSQwPOtrokiGOQBo2BBBFwQeBBB5g+IrpDfUH6svupfYycpbRouXW9vRc3DUckcDGQWqazwSOawK4iIHk6I9XBgqUeDiz+UWEP32V7+JPThkbj0/fUQ4aphjHybchmYYC3Prnx2SS/pRx9WrYfARqraJsrXuyeSxKbc1Vs/Tbm5bSNWYydA9WDqCTY9vBJYWI98VCHK5VfGmKUxSuwh1p2PL9Pvo72DsXpmHrCO371sh6WWs1kiPzVM7x5tgdaRLp81QXYuZZnVKw2AI9ko4I3TXMc4h+9W9ywG2tRm2h2fk3DoyRDV58k9TuvVxM/kqSAQWCIPcUmwNz4m9O98aLjdyPiRh2XuaSc7bxMJeiKJ+g9K4n4lwpIYI0sp+8cKWKgD6q2hab6zvfuO8H6tt1FIosFUXjiPX1Mm3Rkm7ZQiy7BZw1s5HLVN8kQUhVSEFEwP5F9QDMM/1y79j+8M2IwU3IMFrgcxcPcX5XHEcxUnD4Ze0U14Vx9RRnBAYZZJUngGAMVj0njY8Daxq4LvlDfTMh7bq/dXdGjSz3YuyKGVtEMKk02S6Jaouspxj5YthaUJxHR8o6hBsSbRu6kjlXFqcqJTCkmUqcvb7h7aQ5WLrW84HbUcmCyiMTHrVOknrERAYr1hQzm/Sbchwrh2lye+WTp2ftjtjlxrouDl3dpjjDyml6lHlnIDMofyy7JGOnqBYjqYk1y7r+rs4gamhpnoPquE676simv5eyuUlWYNva1G4oEQUWqlEaFdV2suFyB+OQlDSEgooAKGQIf8eR3rXdtoMQaNsPFTTtLQWEhRRJbl93ELoh/PfrYnj0g8amjbHw6Jl6gdzd3NQl1rX5G6mhWWQxA3vaWc2klA8I4hHGBwDEcKrrYd1+48E5UfMe12/E3Kiiz90ZzepGbbnEDFO6eOIyWQk4pBqUxw8zAgmgmBgAPEOAyO496bxgYvHqueGJJN5Sw9ZIYMtvTwAHqqZ5u1/bXLjEUu39IKABRaBYz6lDIVYn0e8WPr41KTW/1kO8tRFmd7f9fbch2/AC1vFFiiuHhQETCRSw0N1VXPkbnjzMmqYPT7uMyjTe8W+MSxfIx8uEeEsS3P7+IofyGsC1v4au1Wo9Qjw8zTsk+ME72H/NziUfICKnbqD6j/X7vFeqZ167hdRqQEltWRSpcFfIxw1tsKnaJAghBRhl5CIhr7TFZZwh7DZ+xeLig6OkQx0ym90M60juNoG986Hb279Jg83Lby1lUiRes/RFyqyx9RFg6sbNYXF71E+4+ym8O1ek5W8u2+4sryNPQzSQMDC5iX9Y1ld8eYID1NG6L1KGIBI6a1S6+h3tFXd2xY1TZ9d191hr8qElUdkTzpvaNiytQeR6cqrGrQYGjYhhI1BZRVg4lZRdNN0VuDkGqgHNnVN2R1Q63kRnKjx9sxveOZiHmaMjqI6eCho+KmRyA1urpNzWQR/FRoC7Wwp1wJszfc0fTNjRgxYyzBigYP7zsswtIsUSkqW6DILCs0Dfv0wfp1qOGHXCjH7XdhYsFWbnZTqSYWJtEyiCgkVBxteRZq1mvJIOSAf5SpsVz+A+JgAfXOb+3+2XbwmPbkH7V3AvAzEhwrD0zkdCWP1YFPorrP6Id9u86ibeuWNv7OexGMFaMupHC2IrCWQkcOvLkUX4iq3Oxn1HO3HZRwqztGy5TXtPePEEY3WulXE1UGCrlZdEY5i4m4pyN+uMqLxIgoEF0Qiq/HttQNwGRxuLuLu3cjFMnJbHwyeEOOWjF+FgWU+bI17W96xPJamzZfZbt3shBJgYMeZqSqS2TmhJmAAPUwRx+HhTpJ6j0kheclqsx7+fx/MfSa6qT/Z1m7a9lmt212gU1oatml6+eeM7W0mCzLcOF0ZuR1s2K5m0+AEHpPJUoKEAAkrfv4+btRpU+5gRuUTQj3wBLchw3UOfUYReQfaHHiKg3tD+x8b4hNwYmxWVtjti5B+6JMHSGiKdB5FFySVgP2DZSVPHr4ZX+riUxSmKUxSnIciXkOQABEOfUAHngRD4gA8emKevwrwYpTFEpgAxTBwYpgASiA/YIDyAhgEg3HAigJBuOdbv17vOyU4jaJmk1bVWkQKmi3cOPGbiUQ9ALFyS4mBw2TD4N3HJQD9g5fhmBbk7f6XrbNmYBGHqrcSQPupD/dEH0WP204+lTWNattjD1EtkY5EGaeZA9xz+co5H85flBqY9SvFVvDb36zLoPlilAziLVD5SaZCIc+LqLWH5jgP6tP3ExD18shHWdA1fQJfL1WFo4yfdkHvRN+jIOHyN0t6qjvP0zO0x+nNjKp4MOKH2MOHyGx9VZXnUVwKYpTFKYpTFKYpTFK84pWIW6+VOjICrZZdFo6MUTN4dsX52ceCAc+KEYib3iAP9WsKSYB6+Wdzo23tY3BJ06VCzxA8ZG92Jfa54H2L1H1V2Gn6Vn6o/Thxlk8XPBB7W5fILn1VDbYW77JdSOIqLIpV6wr5JqsWzjzl5ZIfTxmJNLw8UDgHq2b+KX9UY+TftrYWl6Cy5mWRl6sOIdhaOM/3JDfiPtvdvQFqRNJ21h6aRPPafNHJiPcX9BT4/nNx9AFYNrvXd521eqrq3V1Yd26/3N+EXWa4w8UQVMmX3HslJOzB8tC1uDacuZF+t4t2bYhjGETeJTSNp+Bn6xnxabpsbTajO1kUeJ8WY/VRRxdzwUcT4Cuy1nWdK29pWRr+vTrj6Rip1SyNxt4Kqjm8kh92ONfediAOFyO6j0Q6V0/pVqElRYuWtl2VbVWc7tvYSbYyB7RZEW5km8dFkWD5ljTquisdtFNDCAkTMouoHzDhcxrnbF2Zh7L0j8JGRJqUpDTy2t1vbgF8RGnEIvoux95mNeYndnufqXc/cZ1GVWg0THBjxMcm/lRk3LPbg00pAaVxzNkX3EQCbuZtUW0xSmKUxSmKVAT6kfVBDth1ntNfhYxB1tigJOb/p574gV3/FsO0UO6q5VypmV+QvcOVaLWS5BMVV0VjfiQIJcJ7ibdk3PtLJ03HF81OmaEemWK5Uen31Lx/v+NSj2Y3jj7E7j4Gv5p6dNcPi5B9GPk9KyMRyIjdY5uN+MQtxrpLoLA4RTWAiqXmH4kV0zJOEFCiJFW7lE3B0XLdUokUIbgxFCiUfUBykinqF+I9R5j1EeBHIjwNeqDr0MVuD6wbgjwIPiCOIPiONfXNa20xSr0Hn/wDgTE/5UEP/AOS7nJxf/YMn+df/AIw1VKL/APd1J/mB/wD7YKoglf8A1Y//ANyL/wCxmyCpf1TeyrZ4369P0hV+X1wv8H6Tf5Pdhf8AA9Y5PHe36Oif5vL+5DVRvhZ+nuj/ADzH/dyqocyC6tnUzulPc+e6W3G6WKL1jTtpRGxISGr9nibI5NDzLSOhHci7RLXLEnFzPyqEgMooV4zWbnbOjJIHMIGRLmZbL3nkbMzJsiLGhyochFR1c9LAKSfcezWv1HqUjpayk8qjPuf2yw+52m4uFkZ2TgZOFK8kTxDrQs4UHzIyyXK9A6HDBluwHBjViq/cL6RPZFQpuwfUuW0xanvkirbK9USeDVRb+2PTXHSz1jPqCQ34vcdxwch6mL9mSG27+0e4z/8AqDSXw8puHmJHy9fmYxD/ACslQwnbf4i9krbZ24o9T09OIhkm525L5OarR/IknsNZbralfRe62XeC7MVzsxMbFeUZZaw671u5uC13fMbW3aOU2r6PpsfWGFzlp9p8xwwLLKi3ZriCpxAxSqJ8zTcLs1tzNj3Njak+S8B64oTJ5hD2NiIwgkZhf3es2U8TxAI67W9U+Jve2ly7GzdDjwo8sCPIyRCIFaIkEq0zStCkZt94Yh1OvujgSrVa9wO726e4N3tD2zWm0V/TbuXMej6QayoM6xCQDQny0Ye3NIcUG1xtL1MDuXir07tugu4Mi3KVJMgjF2797a1u/OlfJllj0cv93jBrIqDgPMC2EjnmxYsATZeAFT1247W7Y7caVjxYOPBNuVY/v84p1SvIeLeSXuYYl4KgQIzKoZyWYgaP0hojbPYq8tNY6QpD242b2kFpD5fiPrFOiFDFSLN3SxHSPHVmFT54T8wM5cm4TbIrHHxzpNE0LVtxZw0zRIGmybC9uCRr9qR+SL6PrNyVSayrdO7NvbM0ptd3TlLjYNyFv70szjj0Qx36pX9NrKvN2UcavPhdedMvpBQsZdtuyDTsr3Wk4wr2r1SHSapq1Yy6X7xWoREgL1lrOqAuYElbNLApLPiF4bFHkzQJxh0/ZvaKBc3V2Gpb0Zboi29y4/k1NxDHfgZpLyN9Uc0qqeVrPcz4jsqTS9uI2h9sI36ZZXJtLY8BM69LZMtuIxobRIT75HCSqa+z3bLdfby9IXfcM42O1hvn0aPQa+VZrSNfR8kdIXiEG1XEXclMP026RHsq8Ezt0VIpABFEpUSw5ubdetbuzhm6w46Uv5USXEcQPMKDxZjYdTt7zWA4DhVltidvdr9udKOl7biYPL0mfIksZ8hlv0mQjgqLclIksiXJPUxLGN2Y5WbUxSmKV8nC6TVBZysJgSQTOqp4EMofwIUTCCaZQE6ihuOClABMYwgAByObWYKpZuQFbkRpHCL9Im3/AA/r12W9efRwqt96MUKDtag677XSCD7Zpb8ZsZ3+QzNsTI9ZaoukaQrdaapMRDFaMnKICDpjIpqu2qgGE6a1k9P7O4mfseCDKP4fdTAzeba/S0nEQSDgWjVelWH0lcF0PMNR/WfiU1DSO62XlaePxvb5CuL+HvbzEhPScuFuISd363VvovGVjkFrMvX43NpbafXnYMhq3c1Qe0u5sSKOWyKxhdQdniCKmRTstKniJps7LXXBy8Aslws3Pyk5SRWAUwgHWdG1Tb2oNpeswmHNXiBzV1+3G/J0PpHEHgwU8KuBtnc+gby0dNe2zkrk6Y5sSODxPa5inj5xSD0Hgw95GZbGtYZ1ld9XukdRBdJ03VWbOkDAdB02WUbOkDgID5IuUDprJDyH9Ewc5oyrJGYpArRNzVgGU+1TcH5RWjAMpRwGQ8wRcH2g8DW6q32A2DBAmhJrM7cyT4ACThDJSRSh6cFmWQJuD+JfgCpFP0jmB6p2423qBMmIsmFOfGI3T/onuo/elaxvM2ppOVd4Q2PKfscV/gHh8xFbuhuylIegQk3Fz9dXHgDHKglNsvL7TFVZGSdJp/2SXOYHndrdfgJbAmxslPRcxN8zXUn2NWNZGzdSjN8Z4pl9pQ/M1xf5a2PH7V1pKAHyl4r4HN/cXblWPXD+zTfIt/Ef5cxjJ2hunE/Xafk9PpVQ4+dCa6abQtZgPv4stvSAGHzqTWUJWCurgBkLFXlSiHICnORRg4+//C86l9N1OM2kxskH1xSf8muE2JmJ9KGYfvG/rUWsNcbgJl7HXUgAORE87FBwH+++R9MJpupyG0eLkk+qKT/k0XEzH+jDMf3jf1qxWR2vrSLAfmrxAHULyIoMl1pFcePsImxRXAxhH0D1zt8bZ+6ss/dYGQF9LAIPncj9yudDoOszn3MaUD0kBR/ZEVreZ7K0tkBywcRP2FYOQIdVJKCZAb7DGO7Fd2onz/UpAPGZPg9rddnIOfNjY0foBMrfMtlB9rV3ONszUZDfKkihX1HrP5LD8taRsu/dhT4KIR7lpUmKgGKKUAQ5pAxB9BKpMvPcdgBi/EEipfozPdL7dbb04iTJR83IHjNbov6olsv8ItWS4W1dJxLNKrZEo8X+j/AHD5ya0ucx1VlXCyiq7lc3mu5cKqLuVziIj5LOFjHWVNyPxMYRzOlARBGgCxKOCgAKB6gLAfIKyMAKoRQAg5ACwHsA4CtqaT0dtfsbsFjq7S9Qd3G3OiJOn5gMdpXajDKKlRPZbxYBSVa1yAQMb0McDOHR+EmqSyogTO20XQ9V3FqC6Xo0JmyzxPgka/blfkiD18WPBQx4V0G6N1bf2Xo769ufJXG05SQvjJM9r+VBHcGSQ+qyoPekZVF67hnRDoHrjpTTHB2yze7botrFqnsbarpiVu5eppHK5TqVQaKGWUrdDjHQeSTUpxWerlBy7OqqCYJW+2LsHTtl4RKkT61Mo86cixNuPlxjj0RKeS3ux95yTa3m73Z7va13P1NRIDi7Yx3JxsQNcKTw86YiwlnYcCxHSi+5GFXq6p+ZntRFTFKYpTFKYpTFKYpXUF+rn08V6773V3HTosyOnOwM2/lh+UQ8I+l7gcEWkrTW1Pb5SZsLuRNWajg/AUzr59EoACaQDUXu1tA7e106xhpbR9QctwHCPI+k6eoScZE/O8wDkK9G/h17kLvPaY21qUl9y6PEqcT702GLLFJx4loOEEnM9PksebVU3kU1YSmKVe83jJSf+gckhXouSsTmI2I4kZRnAMHUy+YMInse4eSztwwjknLwEYxn++cCUhhSRATmACgIhOixyz9hgMdWkZMglgoLEBcwliQLn3RxPDgOPKqmvPBh/FyWzJEhSTDCqZGCKzPpoCAMxC3Y8F48TwHHhVEjqCssigePj6jdHz+R8GEeyaUy0OHT189OVszZtUU4kx1nDpwqUhCgHImMGQW0GTIvlxwzNI3AARuSSeAAHTxJNWyjysKBxNNk4qQp7zMZogFVeLEkvwAAuTXbY77626DXFl12Y939zTWoLLXqPOFokPHXBxV3Mo0XbVBvbVHzVrX547v8res2aQGEUgIdQwB5cjxbLfmmbDzI9OTe2Y+JkRQsIlWQoWBEYe4CNexAA5ePOvO/tHrfdzTZdZl7WaZFqWFNlR+e7QiUKQZjCFJkjt1qznxuADwtUBlvpM9Zt9Rq870j7rwVmUFEVm9UuL6t7CbokAOTA+f1VSuXKF4+90xcmAPiX09cCPajbOvRGfZOtRym3BJCko+Ux9Ei/vlapdX4hd87SnGJ3S2vNAt7GWFZMcn9FZRJC/7119tQO3N9MvuzpAXTuZ0092FXGwrmG1abfBf2ZWrYonUePK8i3j7swS9sPL1jFCgHP4h4HME1ntpvXRLvNhtkYwv7+OfNFh4lLCQfwD7alrbPfLtdunpjxtTXDzWt91mr+HNz9USEtAx8P1o9lQLVP8u+Xi3aa7CVaCJXcRJNnEbLszFESiV5FP0m8i0OBg44USKPOYIT0uYnBWUc1IKsPapsR8oqWlHXEMiMh8duTqQyN+i6kqfkJoodJEii6p00U0yGOssoYqZE0yAJjnVUOJSkTIUORERAADBIUdRsB6aKGYhVuSTwA4/MKsy6WfTK2r2jQa7L2G7faO63tklJR7fptuhH2y6w7JMXTtSgxU0QiEVAnbkHzsUmmDMifkdqi68ROWStmdtNV3Qo1LUC2DtwDqMrACSRRxPlK3BVtzlcdIFyoa1xB3c7vlt/YTtoejKuq72YhFx0JaKB2Nh+IdOLyX5Y8R6ybCRo72Mqt3fUZ0r1YobrrD9MyrV2MjmAqNLT2DOzCXYOZnxFKUlKsvKkVe7SuS63JVbBJnVi0TAINiOyFTBPKtb7i6LtbBO2e2kUaxrwfLt1At9ZkLcZ5D4yvdB9UOLWj/a/ZfdG/tWXfffKeaSZ+MWn36GCc0WUJZcWEDiMeICVhxcxkm9G0xLzNjm5mz2aamLPaLHILS1js9iknUzYbBKODCZeRmJZ8oq7fOjiYeBMbxTLwQhSkAChB80s2RO+Vku8uVI3U7uSzux5lmPEn9zkLCrVY2PjYWLFgYMUcGBAgSOKNQkcaDkqItgo9nEniSTxrj82V9qYpTFK84pVo30ounavZrfrbYlvihcaU0HMRVhnhdIlPHXPZqHtS1Ko5CrFMk+ZwahUpqXIBTkKRNm3U9HY8Sf2q2edy68NQy1vouA6u9+Ukw96OL1heEknqCKfp1AvxBdyV2NtA6NpsnTujV43jjsfehxTdJ5+HFWkF4ITwNzK4/V13F8uDXm1WiewfWvTHaKir6+3TS2FrhgMs5h3/kowslTllUfaTnqjYmZkpSvzCHBRBRBQCKgUCLEUSExB6LcG29G3PgnT9ahWWDmp5PG32o3HvIw9IPHkQRwrLNnb33NsPVRrG2Mp8fJ4B14NHKgN/Lmja6SIfQwuL3Uq1iOr920+kH2D0CrJWrTxJLsNqlEyzkAhmCKW3asxLwf252otATbXFu1IYQF7DADk5UxMdgTnyGse7O0W4NALZWkdWo6UOPugDIQfnRjhIB9qP3uFzGKvd28+I3Z271TT9yFNG3AbD32Jw5W9Mcx4wk/Ym90E2Ex5VUqChRVctxBRJ0yWO2fM3CSrV8wdJjwo1kGLkiLxg7TH0MksQihR+JQyJ78SvEMpsQeBB9BB4g+ogGrDEHpVxYxsLqwIKsPSrC4YesEj1175rWlMUoIAb9oAN+sOf58AkcqcuVfH5Zv/AKgj/wCaJ/8Adzf5sn2m+c1u639J+enyzf4+wjyHqA+0T4/f+zjzZftN85p1v6T89fYAAPQAAA+4A4zYSTzrbTFK9fMBXatSFVXePlitmDFqgs8kJB0cQAjWOj2qaz2QdqCP4UkUzqG+wBzS/vBBcuxsAASSfQALkn1AE1rb3WkNhEguzEgKo9LMbKo9bED11bl1K+j7v/fC0ba91lkuvWqlTIuTNJNqgpuK0sjcnFKIrDoi7KjtnBSAX5uYA7whVAMRgI/iCW9p9odf11lyta6tP0o8bMAchx+ahuIgftSe8PCPxquvcP4j9obSWTT9r9Gs7gFxdSRhxN6XlFmnI+xDZCRYy+Fdn3QHXHTfWGiNdd6WpcfUoFMybmTdEFR7YLRLAmCa09bbC8MtK2GadDyJlnChvAB8EippAUhbNaBtzR9s4I0/RoVig5sebu325HPvOx9JPDkLCwqie7967l33qzazufKfIyzwUfRjiS/COGMWSNB9lQL82JYkneOd5WK0xSmKUxSmKUxSmKUxStO790ZQOyOpLnprZkaaQqtyjDNFVm5ipSsHKNzldQlmgHglOLCwVyVRSds1gAQKskAHKcgmIbp9f0PA3JpM2jakvVizLa4+krDirofB0azKfSONxcVkm0d16vsncWNubQ36NQxpLgHirqeDxSD60ciEo48VJsQbEdHPsd142R1W27YdM7Ra8zESAyVaszdsdvCbEpThwqhD3eveQmICDwUhRfNQMY8bIkVbnEQBM56Rbj29qW1tXk0bVB98nFHAsssZNlkT1Hky80cFT4E+qWyt5aLv/bkO5tBb/FpPdliJu+NOAC8EnrF7xvYCSMq48QNH50lZTU3uoX1At99LkZ+E10nWblQLLIHm5LXN5LJFh2djVQQauLDW5aIXSkYB9IN2qZXiQEcNXQplOKZVQFQ2bbR3/r2zFkh07ypsCVuowy36Q9rF0ZTdSQB1DirWBsDxqLe43Z/aPc5ocrWjPjavAnQuTB09bRgkiORHBWRVJPQbqy3IDFbATjH69PZAQEC9f9IlMICBTDbL4cCjx6GEgM0xOAD9nkXn7wzN/wDXvuTw0/B/6SX+tUV//KVsm/HWNVt/eoP+VVVvYbsTtbtJs19tfcE01k7CsxRhYWLiWh46s0+tNl13TWuViMUcO1mzIHTlRZdZZZZy8cGFRU48EKSLNw7h1XdGptqusOGyCvSqqLJGgJIRFubC5JJJLMTcnkBPuzdmbf2Foabf23E0eGHLu7nqlmlIAMkrAAFrAKqgBUUWUcydHNyizfoyzBZzGS7YSi1mYl25iZlqJRASi1l41ZrJNRAQ+Kapc6RR0yCVCVmHJlJVh7GFiPkNZS5EkJx5gsmM3NHAdD7UYFT8oqeumfqb92tIi0axO43mxq41MgH8LblYhfWotW5fBNk0sajiOu7BL2w8eQklQKHH4R4DM80buZvXRLLFmNk4wt7mQPNFh4B+Eo/hn2VEu5uxna7dIaTI01cLNa/3uE34c3P1jGA0DG/9yHtqeSf1T+ovY+ORr/enppFPlxRTIrd6dHRuwkEFUw8UjMhcp1zZdeIQvw+ScPDF4D8Q8BmdjultLccYx986MjNbjLGBKB7L9EyfvS1RKewfcXZUxzO1G5pEW/CCZmxyR49VjJjSfv1S/or88dv/AOhhr54ytFR6z3a5WSFdIysKwldfX2cRCTaD77EVENo24lXKCbkhfxLFOUg/iEB4zbHr/Y7T3GTiabPNkoepQ0UrC44jhPJ0c/Tet820Pis1mJsDUdcxcbClUo7LkQRnpPBuOLD5vEei1+V6hF3R+oxuvuM4dVZb3NWaHRUBOO1DXZE51LE3QUA7Z3tCdag3CzrF8CiSLQKnDtxIXlNycPezCd59xNa3gxxTfF0IHhjofpgcjOwt1n8wWjHoY8alLtj2X2v22RdQW2fu0i7Zki/qyRxGLGb+UOd5WvM1zYoPdqv8AAAAoAAFKAFKUAAAKUA4AoAHoAAAcAH2ZgNS/wA+J50xSmKUxSmKVufr3oDZPaHbdb0xqpkVWxTvL+ZnniCisDQae1XSSmrzZzkEoEjYsFQTbIeRVZF+ok1S/GoIk7nb+galufVo9G0pb5D8WY/RijB96V/UvgObtZBxPDGd47v0TYm3Z9za+9sKL3UjBtJkTEEpBF+c3Nm5RxhpG4Cx7xPXTQOv+senqdpjWzE7avVRiYriRdAmaYs8+9UM7sFtsTohS/Oz1ilFFHLhQfwlE4JpgRJNMhbubd0DT9s6PDo2mrbHiXiT9J2PF5HPiztck/ILAAV5X703frG+tyZO5tbfqzch+Ci/RFGvCOGMfVjjUBVHjbqJLEk7uzu6xamKUxSog9iOiHVntEC73a2q4dxbDoHRb7ErBlqjsJn5eAActqgjNH0gUhUwAqT75tuAf3PMR3DsXa+57vquKhy7WEqfdyj9+tifY3UPVUjbM7s7+2HaLb+oSjTwbnHltNjn/mpLqvtTob11THuL6C9uYrOZDr7viMmmQmXVQqm5IVRhIIpFDybs293pjZRu5OIfh83EMUefUx/iOQ3rHYjLRjJt/PV4+No8hbEegCWMWPtMfy1Znbfxa6dKqw7w0mSKXgDLhuGUnxJgmII9Nlm9gquW/wD0yu+OuVDBJdeJ63NgEwlkNXz1bvjVRMpjF9wrNnIsrCXyAvIEOwKfgQ/D65HWf2033px+8095l9MLpKPmBD/2N6mnSO+fabWh9xrMWM/2cqOSA+y5Vo/lElvXUWrHpzdFPWUb2zSm5a4uiYSrJS2qr629sweglFUIA6BhAf6k4hmLZGj6ziMVysLMjYfaglH/ABbVn2FuXbGpKH0/VNMmQ8imXjn8nmX/ACVhv5FZvL2/4OvAqfD2wpFtFTn7vbCG8+f5M4fkZN7eTPf+9yf8muy/F4Nr/icW3p8+K3z9dZvW9K7vuSyTepaP3RZF1zAVFKK1TfF/dMPwKVY8Am3KI/1xwznY2i63mELiYObIx+zBKf8Ai2rq83c+1tNUvqOq6XAg5l8uAW+TzCfyVKegfTD757FMQWHX2VpzUTFA7/aNkrVHQTTMJQ9wWCkhKWE/AG5EpWIm/RzzmUYHbLfeon7vT3hT0zukQ+a7P/Y1gOr99e0uij77WI8mT7OLFLOT++6Vj+d6sc079BayOnDV/wBhN8sY9iU6Crip6YhFFXjhEweS7Ne8XRsJG5g/Z828N5c8iU4eg5I2j9iMhmEm4M9VThePHXifSDLIOHtEfy1Cu5Pi2wo0aHZ2kO8tiBLmvZQfBhBCePsab2irmuu/Rjq71dIk51JquFY2gECIutgWIVrZsJ/4lOQxlbbPHeybMipFBAyLMzZuIent+mTHt7Y+19rjq0nFRcq3GV7ySn/nGuR7F6R6qrPvLutvzfhKbh1CV8C9xjx2ix19kMfSptbgX6m9dS3zLajumKUxSmKUxSmKUxSmKUxSmKUxSofd0Omete6OrjUi5eUBboA7uW1lsmOaouJ6hWRdAqR10U1DJhK12XIkRGVi1TlQfNyh6prpILo4hvPZum7z0v8ABZn3eXHdoZgLtE5HMfaRuAdDwYehgrCR+2XczW+2OvftXTPvtOmATJxmJEeRGDex59EiXLRSgFo2vwKM6t0wd8aF2t1n2XJ6m3LXDV+1MSKPIqQa+84q15rwLGQbW+jTCqaRZeCdGLwoQQK7j1+W7pNNUvA0113QdV21qTaVrMfl5S8VIuUlS/CSJvrIfH6yH3XAIr012nu3b++NDj3DtqcTae5CupsJYJLXMM6AnokHgeKSL78bMp4agzqKyOmKUxSmKUxSmKUxSmKUxSmKUxSmKVtnR2i9qdktkxWptNVlSy26SIR4/cLiq2rVMgBWKg5t14mU0lSQleZmNwX0M5ercINU1VjAUO10PQ9U3HqSaVo0Xm5bcSeSRpexklb6qD+Ex91QTWPbq3XoGydEk3DuacQachsoFjLNJa4hgS465G+RUHvyMqi9dzjpN0q1v0s1iNRqx/4kvNkMzk9n7Mfs0201dp9uiZNIiaJTK/k9VhCqnSi4xNQybRIxjGMo4VXWVuTsrZem7M0z8Ji/eZ0lmmmIs0rDl+ii8QiA2UXPFizHzN7o9z9b7n67+0dQ+40qC64uMrEpBGTc8eHXK9gZZSAXIAAVFRVmbmZVGdMUpilMUpilMUpilMUpilMUpilMUpilMUpilMUpilMUpilMUpilMUpilMUpilR77JdXtNdr9fLa63JWCzMcmqo9r89HrBG26lzRkvaJP0+wppKOYeUTLwBg4UbuSB7bhJZITEHH9ybY0fdennTtYi6473Rhwkjb7cb81b5wRwYEcKzHZO/Ny9vtYGs7an8qYjpkjYdUMyXv5c0dwHX0cmU+8jK1jXUq7j/Tb391AdSNiVZO9s6QSUUVZ7ZqsSqZ1X2Qq+CKO0KsyBw4qzhMDEA0k3BaHVE3IqNjD7IVO3j241/aLtkFTl6JfhOi8UHonQXKH88XjPpXlXob2172bQ7jxphq66fukixxJXFpGtxOLK1hKOdo2tMPQ496q+E1E1kyKoqEVSVIVRJVI5VE1EzByU6ahBEhyGD4CAiA5H4IIuOINTEysrFWBDDmDzFe2a1pTFKYpTFKYpTFKYpTFK9VFE0UzqqqESSSIZRVVU5U000yhyY6ihxAhCFD1EREAAM0JAFzwFaqrMQqgljyA5mrA+nP039/dwHcdYWrF1qnSSqpFHu3LXFKlWnWQKiRZHV9WeA3c210cCHAsgv7MMkYvPuuDB7I5/s/tzr273XIVTi6ITxndTdh/cUNjIefvm0Y9Lcqh/uV3r2h24jfDkddQ3SB7uJE4tG1uBypVuIhyvGt5j9lB7w7avWnq1pnqbr9LXmnK0ESzXVRfWSxSSpZK4XeaTR9k07cLAdJJxLSAkEQTIBU2rUhhTbpIp8EC2O29raNtTAGn6PF0ITd3PGSVvtSPzY+jkqjgoA4V547437ubuFrB1ncs/mSgFY41HTDAhN/LhjuQi+k8WY8XZm41IjMhrDaYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFKYpTFK+aqSa6aiKyZFUlUzpKpKEKomomoUSnTUIcBIchyiICAgICHxzQgMCrcQa1VmVgykhgbgjwPpqo7tB9HHrXvFzJ2zV4uOvGxZBVZ45eUiObOtezj9UTqKLT+uFlWkWgs5VEoKOIlWMXEORMKhhyJdz9ntt62zZel30/UW4kxAGJj+dCbKCfExlD6b1YnYnxKb32qkena9bWdFQBQs7EZEajkI8kAuQBeyyiVfAWFUP70+lt3S0Us7cn1mO4ao2FQxLfphRWzGFskn7qjmRpDkjW6xftp/tFSbPkwEB4VMAc5BWu9r956ExY434zEH8pj+/w9LRm0i/IrD11bPanfrtjutVjGd+zdQb+RzQIuJ4WWcXgbjyu0Z/NFV6PDDGyCkRKouoaYRMYi8LOM3cJNIHIPiYq8RKos5JAxR+w6RRyPnPlSGGUFJhzVgVYe1WsfyVMcYE8IyccrLjHk6MHQ+x0JU/Ia9s1rSmKUxSmKV6NVPzB+nExiTmXmFjFIhDQzVzMTLg5x8SlbxEWi7kXBhH7CJGHNFPmSeVHd5jyVQWY+xVuT81ayL5MJyJyseMObuQiD2uxCj5TVhGi/pdd0d7qtHKGsVNQ1RyKZz3HdB1qsANlk/dSdRtKQI6u0qCifqUFGrJIeQ5VKA85IGh9sN566QwxfwmKf5TIunA8brGLyN8qqPXUO7r789sdpqyPnjUdQW/3OEBLxHAhpzaBLHnZ3P5pq+Hq/9G/rZpBzGW3aZnHYjYrBRF42dXWPbs9dwT9IU1U1oHXCKruMdLNVgMCbiXWk1gDgS+2YMnXbHZ7beiMuXql9Q1FSCDIAIVP5sPFSR4GQufRaqmb7+JXe+6UfT9A6dG0ZwVIgYnIdTcESZJAYAjmsIiHpvVuiSSSCSaCCaaKKKZEkUUiFTSSSTKBE000yABCJkIAAAAAAABwGS2AFAVeAFV1Zmdi7klibkniST4mvpmtaUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKVrLYeltQbbZqMNoavoGwWyiXsCS4VKCsChEvh4oLybFy4bCAfAUzFEPsHOs1DRdI1ZOjVMXHyFt/KRq/zFgSPkrvNG3PuPbsgl0HPzMNwb/czSR8fWFYA/KDUHLh9IToLbfM7bTCtIXUExjLa9ut0qpPI32lj2s4rEpgAj6AVuBf0ZhGZ2j2Fl8VwjA3pikkT8gbp/JUq6b8Rvd3TrB9TGUg8MiCGX+yMYf8Asq0s6+hd0zVMItLHv+OARHgiGyY12QoD9gDKVF+qPH6TjnTN2O2afoyZ6+yYH+NGaydPit7mL+sg0d/bjMP4syj8lG30LumaQgLqyb/kAAeRItsmMakMHPPAjGVBit/oHDNF7HbNH05M9vbMo/ixij/Fb3MYfdwaOnsxmP8AGmYfkrc1P+kD0Fqfid1pt1eFiCUSq7BvF1tCfkX+kaPXnEIlTy49QM3Ev6M7nD7RbCxPpYZnP91lkf8AIWC/krGdS+I7u7qHCPU1xVPhjwQRH+EIy/8AZVOPXWktOaiaJsdW6s1/r1ukl7ABT6jBQCyiQ/Eq7qNYt3TkTfaKhziP2jmb6domj6QnRpeLj462t93GqfOQAT8pqK9a3TuXcchl1/PzMxyb/fTSSC/qDMQPkAraGdpXQ0xSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKUxSmKV//2Q=="
+    json: "{\n\"graphql\": {\n  \"boardCounts\": [\n    {\n      \"graphql\": \"_geospatial_data_resource_count\"\
+      ,\n      \"name\": \"Geospatial Data Resource\",\n      \"plural\": \"Geospatial\
+      \ Data Resources\"\n    },\n    {\n      \"graphql\": \"_population_data_resource_count\"\
+      ,\n      \"name\": \"Population Data Resource\",\n      \"plural\": \"Population\
+      \ Data Resources\"\n    },\n    {\n      \"graphql\": \"_key_data_resource_count\"\
+      ,\n      \"name\": \"Key Dataset\",\n      \"plural\": \"Key Datasets\"\n  \
+      \  }\n  ],\n  \"chartCounts\": [\n    {\n      \"graphql\": \"_geospatial_data_resource_count\"\
+      ,\n      \"name\": \"Geospatial Data Resource\",\n      \"plural\": \"Geospatial\
+      \ Data Resources\"\n    },\n    {\n      \"graphql\": \"_population_data_resource_count\"\
+      ,\n      \"name\": \"Population Data Resource\",\n      \"plural\": \"Population\
+      \ Data Resources\"\n    },\n    {\n      \"graphql\": \"_key_data_resource_count\"\
+      ,\n      \"name\": \"Key Dataset\",\n      \"plural\": \"Key Datasets\"\n  \
+      \  }\n  ],\n  \"projectDetails\": \"boardCounts\",\n  \"chartNodesExcludeFiles\"\
+      : true\n},\n\"components\": {\n  \"appName\": \"CHORDS\",\n  \"homepageHref\"\
+      : \"https://staging.chordshealth.org/\",\n  \"index\": {\n    \"introduction\"\
+      : {\n      \"heading\": \"CHORDS - Connecting Health Outcomes Research Data\
+      \ Systems Catalog\",\n      \"text\": \"The CHORDS project aims to build and\
+      \ strengthen data infrastructure for patient-centered outcomes research on environment\
+      \ and health. We will achieve this goal by providing accessible, timely, harmonized,\
+      \ interoperable, and linkable data on environmental factors, exposures, and\
+      \ health outcomes. The project also provides analytical and educational resources\
+      \ that will allow not only researchers, but also health practitioners, public\
+      \ health officials, and communities to assess the health effects associated\
+      \ with environment-related events, create and evaluate evidence-based interventions\
+      \ to protect communities, and anticipate and respond to potential adverse health\
+      \ outcomes resulting from these events.\u200B\",\n      \"link\": \"/submission\"\
+      \n    },\n    \"buttons\": [\n\n    ]\n  },\n  \"navigation\": {\n    \"items\"\
+      : [\n      {\n        \"icon\": \"query\",\n        \"link\": \"/discovery\"\
+      ,\n        \"name\": \"CHORDS Catalog\",\n        \"tooltip\": \"Free-text search\
+      \ and tags to rapidly find relevant resources.\"\n      },\n      {\n      \
+      \  \"name\": \"Data Explorer\",\n        \"link\": \"/explorer\",\n        \"\
+      icon\": \"exploration\",\n        \"tooltip\": \"Fine grained search and discovery\
+      \ for specific resource types.\"\n      },\n      {\n        \"icon\": \"profile\"\
+      ,\n        \"link\": \"/identity\",\n        \"color\": \"#a2a2a2\",\n     \
+      \   \"name\": \"Profile\"\n      }\n    ]\n  },\n  \"topBar\": {\n    \"items\"\
+      : [\n      {\n        \"icon\": \"dictionary\",\n        \"link\": \"/DD\",\n\
+      \        \"color\": \"#a2a2a2\",\n        \"name\": \"Dictionary\",\n      \
+      \  \"tooltip\": \"The CHORDS Catalog employs a data model to power queries and\
+      \ data submissions. Study the dictionary to send GraphQL queries or format your\
+      \ data submissions.\"\n      },\n      {\n        \"name\": \"Catalog Query\"\
+      ,\n        \"link\": \"/query\",\n        \"icon\": \"query\",\n        \"tooltip\"\
+      : \"Query CHORDS Resources with GraphQL.\"\n      },\n      {\n        \"link\"\
+      : \"https://gen3.org/resources/user/\",\n        \"name\": \"Documentation\"\
+      \n      },\n      {\n        \"link\": \"https://www.niehs.nih.gov/research/programs/chords\"\
+      ,\n        \"name\": \"About\"\n      }\n    ]\n},\n  \"useProfileDropdown\"\
+      : false,\n  \"login\": {\n    \"title\": \"CHORDS - Connecting Health Outcomes\
+      \ Research Data Systems\",\n    \"subTitle\": \"Explore, Analyze, and Share\
+      \ Environmental and Health Resources\",\n    \"text\": \"\",\n    \"contact\"\
+      : \"If you have any questions about access or the registration process, please\
+      \ contact \",\n    \"email\": \"mike.conway@nih.gov\"\n  },\n  \"systemUse\"\
+      \ : {\n    \"systemUseTitle\" : \"CHORDS Catalog Policy\",\n    \"systemUseText\"\
+      \ : [\"You are accessing a U.S. Government System. System usage may be monitored,\
+      \ recorded, and subject to audit. Use of the system indicates consent to monitoring\
+      \ and recording.\\n\\nUnauthorized use of the system is prohibited and subject\
+      \ to criminal and civil penalties.\\n\\nThis system includes links to external\
+      \ resources, and may be used by the public and by researchers as an aid to locate\
+      \ data relevant to environment and public health. NIEHS is not responsible for\
+      \ information that is hosted on these external data resources.\"],\n    \"expireUseMsgDays\"\
+      \ : 0\n  },\n  \"footerLogos\": [\n    {\n      \"src\": \"/src/img/createdby.png\"\
+      ,\n      \"href\": \"https://ctds.uchicago.edu/\",\n      \"alt\": \"Center\
+      \ for Translational Data Science at the University of Chicago\"\n    },\n  \
+      \  {\n      \"src\": \"custom/images/ospcortf_logo.jpg\",\n      \"href\": \"\
+      https://aspe.hhs.gov/enhancing-patient-centered-outcomes-research-pcor-creating-national-small-area-social-determinants\"\
+      ,\n      \"alt\": \"Patient-Centered Outcomes Research Trust Fund\"\n    }\n\
+      \  ]\n},\n\"featureFlags\": {\n  \"explorer\": true,\n  \"analysis\": false,\n\
+      \  \"explorerPublic\": true,\n  \"discovery\": true\n},\n\"requiredCerts\":\
+      \ [],\n\"discoveryConfig\": {\n  \"requireLogin\": false,\n  \"public\": true,\n\
+      \  \"features\": {\n    \"pageTitle\": {\n      \"enabled\": true,\n      \"\
+      text\": \"CHORDS Data Resources\"\n    },\n    \"search\": {\n      \"searchBar\"\
+      : {\n        \"enabled\": true,\n        \"inputSubtitle\": \"CHORDS Resource\
+      \ Search\",\n        \"placeholder\": \"Try searches such as 'Air quality',\
+      \ 'General exposure'\",\n        \"searchableTextFields\": [\n          \"project_short_name\"\
+      ,\n          \"project_name\",\n          \"project_sponsor\",\n          \"\
+      name\",\n          \"description\",\n          \"domain\",\n          \"keywords\"\
+      ,\n          \"project_description\",\n          \"project_sponsor\",\n    \
+      \      \"measures_parent_category\",\n          \"measures_subcategory_major\"\
+      ,\n          \"measures_subcategory_minor\"\n        ]\n      },\n      \"tagSearchDropdown\"\
+      : {\n        \"enabled\": true,\n        \"collapseOnDefault\": true,\n    \
+      \    \"collapsibleButtonText\": \"Show keyword search\"\n      }\n    },\n \
+      \   \"advSearchFilters\": {\n      \"enabled\": true,\n      \"field\": \"advSearchFilters\"\
+      ,\n      \"displayName\": \"Show Search Filters\",\n      \"filters\": [\n \
+      \       {\n          \"key\": \"Project Sponsor\"\n        },\n        {\n \
+      \         \"key\": \"Sponsor Type\"\n        },\n        {\n          \"key\"\
+      : \"Resource Type\"\n        },\n        {\n          \"key\": \"Measures(category)\"\
+      \n        },\n        {\n          \"key\": \"Measures(subcategory 2)\"\n  \
+      \      },\n        {\n          \"key\": \"Temporal Resolution\"\n        },\n\
+      \        {\n          \"key\": \"Spatial Resolution\"\n        },\n        {\n\
+      \          \"key\": \"Geometry Type\"\n        },\n        {\n          \"key\"\
+      : \"Population Studied\"\n        },\n        {\n            \"key\": \"Access\
+      \ Type\"\n        },\n        {\n          \"key\": \"Tool Type\"\n        },\n\
+      \        {\n          \"key\": \"Is Open\"\n        },\n        {\n        \
+      \  \"key\": \"Operating System\"\n        },\n        {\n          \"key\":\
+      \ \"Language\"\n        },\n        {\n          \"key\": \"License Type\"\n\
+      \        }\n\n      ]\n    },\n    \"tagsColumn\": {\n      \"enabled\": false\n\
+      \    },\n    \"tagsInDescription\": {\n      \"enabled\": true\n    },\n   \
+      \ \"authorization\": {\n      \"enabled\": false\n    }\n  },\n  \"aggregations\"\
+      : [\n    {\n      \"name\": \"Resources\",\n      \"field\": \"resource_id\"\
+      ,\n      \"type\": \"count\"\n    }\n  ],\n  \"tagSelector\": {\n    \"title\"\
+      : \"Tags by category\"\n  },\n  \"studyColumns\": [\n    {\n      \"name\":\
+      \ \"Resource Name\",\n      \"field\": \"name\",\n      \"errorIfNotAvailable\"\
+      : false,\n      \"valueIfNotAvailable\": \"n/a\"\n    },\n    {\n      \"name\"\
+      : \"Domains\",\n      \"field\": \"domain\",\n      \"errorIfNotAvailable\"\
+      : false,\n      \"valueIfNotAvailable\": \"n/a\"\n    }\n\n  ],\n  \"studyPreviewField\"\
+      : {\n    \"name\": \"Description\",\n    \"field\": \"description\",\n    \"\
+      contentType\": \"block\",\n    \"includeName\": false,\n    \"includeIfNotAvailable\"\
+      : true,\n    \"valueIfNotAvailable\": \"\"\n  },\n  \"detailView\": {\n    \"\
+      headerField\": \"name\",\n    \"tabs\": [\n      {\n        \"tabName\": \"\
+      Summary\",\n        \"groups\": [\n          {\n            \"header\": \"Description\"\
+      ,\n            \"fields\": [\n              {\n                \"type\": \"\
+      block\",\n                \"sourceField\": \"description\"\n              }\n\
+      \            ]\n          },\n          {\n            \"header\": \"Usage Notes\"\
+      ,\n            \"fields\": [\n              {\n                \"type\": \"\
+      block\",\n                \"sourceField\": \"intended_use\"\n              }\n\
+      \            ]\n          },\n          {\n            \"header\": \"Reference\"\
+      ,\n            \"fields\": [\n              {\n                \"type\": \"\
+      link\",\n                \"label\": \"Reference 1\",\n                \"sourceField\"\
+      : \"resource_reference_1\",\n                \"default\": \"\"\n           \
+      \   },\n              {\n                \"type\": \"link\",\n             \
+      \   \"label\": \"Reference 2\",\n                \"sourceField\": \"resource_reference_2\"\
+      ,\n                \"default\": \"\"\n              },\n              {\n  \
+      \              \"type\": \"text\",\n                \"label\": \"Publication\
+      \ 1\",\n                \"sourceField\": \"publications_1\",\n             \
+      \   \"default\": \"n/a\"\n              },\n              {\n              \
+      \  \"type\": \"link\",\n                \"label\": \"Publication Link 1\",\n\
+      \                \"sourceField\": \"publication_link_1\",\n                \"\
+      default\": \"\"\n              },\n              {\n                \"type\"\
+      : \"text\",\n                \"label\": \"Publication 2\",\n               \
+      \ \"sourceField\": \"publications_2\",\n                \"default\": \"\"\n\
+      \              },\n              {\n                \"type\": \"link\",\n  \
+      \              \"label\": \"Publication Link 2\",\n                \"sourceField\"\
+      : \"publication_link_2\",\n                \"default\": \"\"\n             \
+      \ },\n              {\n                \"type\": \"text\",\n               \
+      \ \"label\": \"Publication 3\",\n                \"sourceField\": \"publications_3\"\
+      ,\n                \"default\": \"n/a\"\n              },\n              {\n\
+      \                \"type\": \"link\",\n                \"label\": \"Publication\
+      \ Link 3\",\n                \"sourceField\": \"publication_link_3\",\n    \
+      \            \"default\": \"\"\n              }\n            ]\n          },\n\
+      \          {\n            \"header\": \"Project\",\n            \"fields\":\
+      \ [\n              {\n                \"type\": \"text\",\n                \"\
+      label\": \"Project Name\",\n                \"sourceField\": \"project_short_name\"\
+      ,\n                \"default\": \"n/a\"\n              },\n              {\n\
+      \                \"type\": \"text\",\n                \"label\": \"Project Sponsor\"\
+      ,\n                \"sourceField\": \"project_sponsor\",\n                \"\
+      default\": \"n/a\"\n              },\n              {\n                \"type\"\
+      : \"string\",\n                \"label\": \"Project Sponsor Type\",\n      \
+      \          \"sourceField\": \"project_sponsor_type\",\n                \"default\"\
+      : \"n/a\"\n              },\n              {\n                \"type\": \"link\"\
+      ,\n                \"label\": \"Project Link\",\n                \"sourceField\"\
+      : \"project_url\",\n                \"default\": \"n/a\"\n              }\n\
+      \            ]\n          },\n          {\n            \"header\": \"Data Details\"\
+      ,\n            \"fields\": [\n              {\n                \"type\": \"\
+      text\",\n                \"label\": \"Domain\",\n                \"sourceField\"\
+      : \"domain\",\n                \"default\": \"n/a\"\n              },\n    \
+      \          {\n                \"type\": \"text\",\n                \"label\"\
+      : \"Domain Other\",\n                \"sourceField\": \"domain_other\",\n  \
+      \              \"default\": \"n/a\"\n              },\n              {\n   \
+      \             \"type\": \"text\",\n                \"label\": \"Has API\",\n\
+      \                \"sourceField\": \"has_api\",\n                \"default\"\
+      : \"n/a\"\n              },\n              {\n                \"type\": \"text\"\
+      ,\n                \"label\": \"Has Visualization Tool\",\n                \"\
+      sourceField\": \"has_visualization_tool\",\n                \"default\": \"\
+      n/a\"\n              },\n              {\n                \"type\": \"text\"\
+      ,\n                \"label\": \"Citizen Collected?\",\n                \"sourceField\"\
+      : \"is_citizen_collected\",\n                \"default\": \"n/a\"\n        \
+      \      },\n              {\n                \"type\": \"text\",\n          \
+      \      \"label\": \"Data Formats\",\n                \"sourceField\": \"data_formats\"\
+      ,\n                \"default\": \"n/a\"\n              },\n              {\n\
+      \                \"type\": \"text\",\n                \"label\": \"Tool Type\"\
+      ,\n                \"sourceField\": \"tool_type\",\n                \"default\"\
+      : \"n/a\"\n              },\n              {\n                \"type\": \"text\"\
+      ,\n                \"label\": \"Payment Required?\",\n                \"sourceField\"\
+      : \"payment_required\",\n                \"default\": \"n/a\"\n            \
+      \  },\n              {\n                \"type\": \"text\",\n              \
+      \  \"label\": \"Time Extent Start Year\",\n                \"sourceField\":\
+      \ \"time_extent_start_yyyy\",\n                \"default\": \"\"\n         \
+      \     },\n              {\n                \"type\": \"text\",\n           \
+      \     \"label\": \"Time Extent End Year\",\n                \"sourceField\"\
+      : \"time_extent_end_yyyy\",\n                \"default\": \"\"\n           \
+      \   },\n              {\n                \"type\": \"text\",\n             \
+      \   \"label\": \"Time available\",\n                \"sourceField\": \"time_available_comment\"\
+      ,\n                \"default\": \"\"\n              },\n              {\n  \
+      \              \"type\": \"text\",\n                \"label\": \"Temporal Resolution\"\
+      ,\n                \"sourceField\": \"temporal_resolution\",\n             \
+      \   \"default\": \"\"\n              },\n              {\n                \"\
+      type\": \"text\",\n                \"label\": \"Temporal Resolution Other\"\
+      ,\n                \"sourceField\": \"temporal_resolution_other\",\n       \
+      \         \"default\": \"\"\n              },\n              {\n           \
+      \     \"type\": \"text\",\n                \"label\": \"Spatial Resolution\"\
+      ,\n                \"sourceField\": \"spatial_resolution\",\n              \
+      \  \"default\": \"\"\n              },\n              {\n                \"\
+      type\": \"text\",\n                \"label\": \"Spatial Resolution Other\",\n\
+      \                \"sourceField\": \"spatial_resolution_other\",\n          \
+      \      \"default\": \"\"\n              },\n              {\n              \
+      \  \"type\": \"text\",\n                \"label\": \"Spatial Coverage\",\n \
+      \               \"sourceField\": \"spatial_coverage\",\n                \"default\"\
+      : \"\"\n              },\n              {\n                \"type\": \"text\"\
+      ,\n                \"label\": \"Spatial Coverage Other\",\n                \"\
+      sourceField\": \"spatial_coverage_other\",\n                \"default\": \"\"\
+      \n              },\n              {\n                \"type\": \"text\",\n \
+      \               \"label\": \"Geometry Type\",\n                \"sourceField\"\
+      : \"geometry_type\",\n                \"default\": \"\"\n              }\n \
+      \           ]\n          }\n        ]\n      },\n      {\n        \"tabName\"\
+      : \"Source\",\n        \"groups\": [\n          {\n            \"header\": \"\
+      Source Information\",\n            \"fields\": [\n              {\n        \
+      \        \"type\": \"text\",\n                \"label\": \"Support Source\"\
+      ,\n                \"sourceField\": \"support_source\",\n                \"\
+      default\": \"n/a\"\n              }\n            ]\n          },\n         \
+      \ {\n            \"header\": \"Resource Links\",\n            \"fields\": [\n\
+      \              {\n                \"type\": \"link\",\n                \"label\"\
+      : \"Resource URL\",\n                \"sourceField\": \"resource_url\",\n  \
+      \              \"default\": \"n/a\"\n              },\n              {\n   \
+      \             \"type\": \"text\",\n                \"label\": \"Resource Use\
+      \ Agreement\",\n                \"sourceField\": \"resource_use_agreement\"\
+      ,\n                \"default\": \"n/a\"\n              },\n               {\n\
+      \                \"type\": \"link\",\n                \"label\": \"Resource\
+      \ Use Agreement Link\",\n                \"sourceField\": \"resource_use_agreement_link\"\
+      ,\n                \"default\": \"n/a\"\n              },\n              {\n\
+      \                \"type\": \"text\",\n                \"label\": \"Dataset Location\
+      \ 1\",\n                \"sourceField\": \"data_location_text_1\",\n       \
+      \         \"default\": \"n/a\"\n              },\n              {\n        \
+      \        \"type\": \"link\",\n                \"label\": \"Dataset Location\
+      \ link 1 \",\n                \"sourceField\": \"data_location_link_1\",\n \
+      \               \"default\": \"n/a\"\n              },\n              {\n  \
+      \              \"type\": \"text\",\n                \"label\": \"Dataset Location\
+      \ 2\",\n                \"sourceField\": \"data_location_text_2\",\n       \
+      \         \"default\": \"n/a\"\n              },\n              {\n        \
+      \        \"type\": \"link\",\n                \"label\": \"Dataset Location\
+      \ link 2 \",\n                \"sourceField\": \"data_location_link_2\",\n \
+      \               \"default\": \"n/a\"\n              },\n              {\n  \
+      \              \"type\": \"text\",\n                \"label\": \"Dataset Location\
+      \ 3\",\n                \"sourceField\": \"data_location_text_3\",\n       \
+      \         \"default\": \"n/a\"\n              },\n              {\n        \
+      \        \"type\": \"link\",\n                \"label\": \"Dataset Location\
+      \ link 3 \",\n                \"sourceField\": \"data_location_link_3\",\n \
+      \               \"default\": \"n/a\"\n              }\n            ]\n     \
+      \     }\n        ]\n      }\n    ]\n  },\n  \"minimalFieldMapping\": {\n   \
+      \ \"tagsListFieldName\": \"tags\",\n    \"uid\": \"resource_id\"\n  },\n  \"\
+      tagCategories\": [\n    {\n      \"name\": \"Keyword\",\n      \"color\": \"\
+      rgba(81, 134, 17, 1)\",\n      \"display\": true\n    },\n    {\n      \"name\"\
+      : \"Domain\",\n      \"color\": \"rgba(122, 83, 34, 1)\",\n      \"display\"\
+      : true\n    },\n    {\n      \"name\": \"Measures(subcategory 1)\",\n      \"\
+      color\": \"rgba(250, 225, 195, 1)\",\n      \"display\": true\n    },\n    {\n\
+      \      \"name\": \"Measures(subcategory 2)\",\n      \"color\": \"rgba(230,\
+      \ 220, 180, 1)\",\n      \"display\": true\n    }\n  ]\n},\n\"analysisTools\"\
+      : [],\n\"explorerConfig\": [\n  {\n    \"tabTitle\": \"Geospatial Data Resources\"\
+      ,\n    \"charts\": {\n      \"domain\": {\n        \"chartType\": \"count\"\
+      ,\n        \"title\": \"Domain\"\n      }\n    },\n    \"filters\": {\n    \
+      \  \"tabs\": [\n        {\n          \"title\": \"Search Facets\",\n       \
+      \   \"fields\": [\n            \"project_sponsor\",\n            \"project_sponsor_type\"\
+      ,\n            \"domain\",\n            \"access_type\",\n            \"has_api\"\
+      ,\n            \"temporal_resolution\",\n            \"spatial_coverage\",\n\
+      \            \"exposure_media\"\n          ]\n        },\n        {\n      \
+      \    \"title\": \"Measures\",\n          \"fields\": [\n            \"measures_parent_category\"\
+      ,\n            \"measures_subcategory_major\",\n            \"measures\"\n \
+      \         ]\n        }\n      ]\n    },\n    \"table\": {\n      \"enabled\"\
+      : true,\n      \"fields\": [\n        \"project_sponsor\",\n        \"resource_short_name\"\
+      ,\n        \"resource_description\",\n        \"domain\",\n        \"keywords\"\
+      ,\n        \"intended_use\",\n        \"measures\",\n        \"time_extent_start_year\"\
+      ,\n        \"time_extent_end_year\",\n        \"spatial_coverage\",\n      \
+      \  \"resource_url\"\n      ],\n      \"linkFields\": [\n        \"resource_url\"\
+      \n      ]\n    },\n    \"dropdowns\": {\n      \"download-table\": {\n     \
+      \   \"title\": \"Download Dataset Table\"\n      }\n    },\n    \"buttons\"\
+      : [\n      {\n        \"enabled\": true,\n        \"type\": \"data-json\",\n\
+      \        \"title\": \"JSON\",\n        \"dropdownId\": \"download-table\",\n\
+      \        \"leftIcon\": \"datafile\",\n        \"rightIcon\": \"download\",\n\
+      \        \"fileName\": \"datasets_table.json\"\n      },\n      {\n        \"\
+      enabled\": true,\n        \"type\": \"data-tsv\",\n        \"title\": \"TSV\"\
+      ,\n        \"dropdownId\": \"download-table\",\n        \"leftIcon\": \"datafile\"\
+      ,\n        \"rightIcon\": \"download\",\n        \"fileName\": \"datasets_table.tsv\"\
+      \n      },\n      {\n        \"enabled\": true,\n        \"type\": \"data-csv\"\
+      ,\n        \"title\": \"CSV\",\n        \"dropdownId\": \"download-table\",\n\
+      \        \"leftIcon\": \"datafile\",\n        \"rightIcon\": \"download\",\n\
+      \        \"fileName\": \"datasets_table.csv\"\n      }\n    ],\n    \"loginForDownload\"\
+      : true,\n    \"guppyConfig\": {\n      \"dataType\": \"geospatial_data_resource\"\
+      ,\n      \"nodeCountTitle\": \"Geospatial Data Resources\",\n      \"fieldMapping\"\
+      : [\n        {\n          \"field\": \"project_id\",\n          \"name\": \"\
+      Dataset ID\"\n        },\n        {\n          \"field\": \"submitter_id\",\n\
+      \          \"name\": \"Dataset Name\"\n        }\n      ],\n      \"accessibleFieldCheckList\"\
+      : [\n        \"project_id\"\n      ],\n      \"accessibleValidationField\":\
+      \ \"project_id\"\n    }\n  },\n  {\n    \"tabTitle\": \"Population Data Resources\"\
+      ,\n    \"charts\": {\n      \"domain\": {\n        \"chartType\": \"count\"\
+      ,\n        \"title\": \"Domain\"\n      }\n    },\n    \"filters\": {\n    \
+      \  \"tabs\": [\n        {\n          \"title\": \"Search Facets\",\n       \
+      \   \"fields\": [\n            \"project_sponsor\",\n            \"project_sponsor_type\"\
+      ,\n            \"domain\",\n            \"access_type\",\n            \"has_api\"\
+      ,\n            \"temporal_resolution\",\n            \"spatial_coverage\"\n\
+      \          ]\n        },\n        {\n          \"title\": \"Measures\",\n  \
+      \        \"fields\": [\n            \"measures_parent_category\",\n        \
+      \    \"measures_subcategory_major\",\n            \"measures\"\n          ]\n\
+      \        }\n      ]\n    },\n    \"table\": {\n      \"enabled\": true,\n  \
+      \    \"fields\": [\n        \"project_sponsor\",\n        \"resource_short_name\"\
+      ,\n        \"resource_description\",\n        \"domain\",\n        \"keywords\"\
+      ,\n        \"intended_use\",\n        \"measures\",\n        \"time_extent_start_year\"\
+      ,\n        \"time_extent_end_year\",\n        \"spatial_coverage\",\n      \
+      \  \"resource_url\"\n        ],\n      \"linkFields\": [\n        \"resource_url\"\
+      \n      ]\n    },\n    \"dropdowns\": {\n      \"download-table\": {\n     \
+      \   \"title\": \"Download Dataset Table\"\n      }\n    },\n    \"buttons\"\
+      : [\n      {\n        \"enabled\": true,\n        \"type\": \"data-json\",\n\
+      \        \"title\": \"JSON\",\n        \"dropdownId\": \"download-table\",\n\
+      \        \"leftIcon\": \"datafile\",\n        \"rightIcon\": \"download\",\n\
+      \        \"fileName\": \"datasets_table.json\"\n      },\n      {\n        \"\
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+      ,\n        \"dropdownId\": \"download-table\",\n        \"leftIcon\": \"datafile\"\
+      ,\n        \"rightIcon\": \"download\",\n        \"fileName\": \"datasets_table.tsv\"\
+      \n      },\n      {\n        \"enabled\": true,\n        \"type\": \"data-csv\"\
+      ,\n        \"title\": \"CSV\",\n        \"dropdownId\": \"download-table\",\n\
+      \        \"leftIcon\": \"datafile\",\n        \"rightIcon\": \"download\",\n\
+      \        \"fileName\": \"datasets_table.csv\"\n      }\n    ],\n    \"loginForDownload\"\
+      : true,\n    \"guppyConfig\": {\n      \"dataType\": \"population_data_resource\"\
+      ,\n      \"nodeCountTitle\": \"Population Data Resources\",\n      \"fieldMapping\"\
+      : [\n        {\n          \"field\": \"project_id\",\n          \"name\": \"\
+      Dataset ID\"\n        },\n        {\n          \"field\": \"submitter_id\",\n\
+      \          \"name\": \"Dataset Name\"\n        }\n      ],\n      \"accessibleFieldCheckList\"\
+      : [\n        \"project_id\"\n      ],\n      \"accessibleValidationField\":\
+      \ \"project_id\"\n    }\n  },\n  {\n    \"tabTitle\": \"Key Data Resources\"\
+      ,\n    \"charts\": {\n      \"project_sponsor\": {\n        \"chartType\": \"\
+      count\",\n        \"title\": \"Project Sponsor\"\n      }\n    },\n    \"filters\"\
+      : {\n      \"tabs\": [\n        {\n          \"title\": \"Search Facets\",\n\
+      \          \"fields\": [\n            \"project_sponsor\",\n            \"project_sponsor_type\"\
+      ,\n            \"keywords\",\n            \"measures_parent_category\",\n  \
+      \          \"measures_subcategory_major\",\n            \"time_extent_start_year\"\
+      ,\n            \"time_extent_end_year\",\n            \"temporal_resolution\"\
+      ,\n            \"spatial_resolution\",\n            \"spatial_coverage\",\n\
+      \            \"geometry_type\",\n            \"model_methods\",\n          \
+      \  \"data_formats\"\n          ]\n        }\n      ]\n    },\n    \"table\"\
+      : {\n      \"enabled\": true,\n      \"fields\": [\n        \"project_sponsor\"\
+      ,\n        \"resource_short_name\",\n        \"resource_description\",\n   \
+      \     \"keywords\",\n        \"domain\",\n        \"comments\",\n        \"\
+      data_formats\",\n        \"data_location_text\"\n\n      ],\n      \"linkFields\"\
+      : [\n        \"data_location_text\"\n      ]\n    },\n    \"dropdowns\": {\n\
+      \      \"download-table\": {\n        \"title\": \"Download Key Dataset Table\"\
+      \n      }\n    },\n    \"buttons\": [\n      {\n        \"enabled\": true,\n\
+      \        \"type\": \"data-json\",\n        \"title\": \"JSON\",\n        \"\
+      dropdownId\": \"download-table\",\n        \"leftIcon\": \"datafile\",\n   \
+      \     \"rightIcon\": \"download\",\n        \"fileName\": \"datasets_table.json\"\
+      \n      },\n      {\n        \"enabled\": true,\n        \"type\": \"data-tsv\"\
+      ,\n        \"title\": \"TSV\",\n        \"dropdownId\": \"download-table\",\n\
+      \        \"leftIcon\": \"datafile\",\n        \"rightIcon\": \"download\",\n\
+      \        \"fileName\": \"datasets_table.tsv\"\n      },\n      {\n        \"\
+      enabled\": true,\n        \"type\": \"data-csv\",\n        \"title\": \"CSV\"\
+      ,\n        \"dropdownId\": \"download-table\",\n        \"leftIcon\": \"datafile\"\
+      ,\n        \"rightIcon\": \"download\",\n        \"fileName\": \"datasets_table.csv\"\
+      \n      }\n    ],\n    \"loginForDownload\": true,\n    \"guppyConfig\": {\n\
+      \      \"dataType\": \"key_data_resource\",\n      \"nodeCountTitle\": \"Key\
+      \ Data Resources\",\n      \"fieldMapping\": [\n        {\n          \"field\"\
+      : \"project_id\",\n          \"name\": \"Dataset ID\"\n        },\n        {\n\
+      \          \"field\": \"submitter_id\",\n          \"name\": \"Dataset Name\"\
+      \n        }\n      ],\n      \"accessibleFieldCheckList\": [\n        \"project_id\"\
+      \n      ],\n      \"accessibleValidationField\": \"project_id\"\n    }\n  }\n\
+      ],\n\"connectSrcCSPWhitelist\": [\n  \"https://gen3.niehs.nih.gov\", \"https://chords.niehs.nih.gov\"\
+      , \"https://localhost\", \"https://chords-health.org\", \"https://staging.chordshealth.org/\"\
+      , \"https://www.niehs.nih.gov\", \"https://rstudio.niehs.nih.gov\"\n] }\n"
+    logo: 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
diff --git a/chordsprod/staging.chordshealth.org/values/values.yaml b/chordsprod/staging.chordshealth.org/values/values.yaml
index 8a809a96..c9697531 100644
--- a/chordsprod/staging.chordshealth.org/values/values.yaml
+++ b/chordsprod/staging.chordshealth.org/values/values.yaml
@@ -1,128 +1,104 @@
 global:
   dev: false
-  # uncomment once we cutover, so we can use shared ALB
-  #environment: "unfunded"
-  hostname: "staging.chordshealth.org"
+  hostname: staging.chordshealth.org
   aws:
     enabled: true
     awsEsProxyRoleArn: arn:aws:iam::048463324059:role/gen3-service/chords-esproxy-sa
     useLocalSecret:
-        enabled: true
-        localSecretName: external-secrets-chords-secret
+      enabled: true
+      localSecretName: external-secrets-chords-secret
   revproxyArn: arn:aws:acm:us-east-1:048463324059:certificate/b85556ab-b13b-45bf-afd3-1a70b9234b6e
-  dictionaryUrl: "https://s3.amazonaws.com/dictionary-artifacts/chords-health-dictionary/1.5.4/schema.json"
+  dictionaryUrl: https://s3.amazonaws.com/dictionary-artifacts/chords-health-dictionary/1.5.4/schema.json
   postgres:
     dbCreate: false
-    # externalSecret: "chords-aurora-master-password"
   externalSecrets:
-    # -- (bool) Will use ExternalSecret resources to pull secrets from Secrets Manager instead of creating them locally. Be cautious as this will override secrets you have deployed.
     deploy: true
   pdb: true
   tierAccessLevel: libre
   fenceURL: https://staging.chordshealth.org/user
-
 arborist:
   enabled: true
   externalSecrets:
-    dbcreds: "chords_staging-arborist-db-creds"
+    dbcreds: chords_staging-arborist-db-creds
   image:
     repository: 707767160287.dkr.ecr.us-east-1.amazonaws.com/gen3/arborist
-    tag: 2025.08
-
+    tag: '2025.09'
 aws-es-proxy:
   esEndpoint: vpc-chords-gen3-metadata-2-lbdmlev6ocn5pneieeympkp6vy.us-east-1.es.amazonaws.com
   externalSecrets:
-    awsCreds: "chordstaging-aws-es-proxy-creds"
+    awsCreds: chordstaging-aws-es-proxy-creds
   enabled: true
   image:
     repository: quay.io/cdis/aws-es-proxy
     tag: v1.3.1
-
 indexd:
-  defaultPrefix: "dg.C78ch/"
+  defaultPrefix: dg.C78ch/
   externalSecrets:
-    dbcreds: "chords_staging-indexd-db-creds"
-    serviceCreds: "chordstaging-indexd-service-creds"
-
+    dbcreds: chords_staging-indexd-db-creds
+    serviceCreds: chordstaging-indexd-service-creds
   enabled: true
   image:
     repository: 707767160287.dkr.ecr.us-east-1.amazonaws.com/gen3/indexd
-    tag: 2025.08
-
+    tag: '2025.09'
 peregrine:
-  # temporarily scaling up peregrine so it can handle the extra load without giving a 502.
   replicaCount: 3
   externalSecrets:
-    dbcreds: "chords_staging-peregrine-db-creds"
+    dbcreds: chords_staging-peregrine-db-creds
   enabled: true
   image:
     repository: 707767160287.dkr.ecr.us-east-1.amazonaws.com/gen3/peregrine
-    tag: feat_jq-audience
+    tag: '2025.09'
     pullPolicy: Always
-
 pidgin:
   enabled: false
-
 revproxy:
   enabled: true
   replicaCount: 2
   image:
     repository: 707767160287.dkr.ecr.us-east-1.amazonaws.com/gen3/nginx
-    tag: 2025.08
-
+    tag: '2025.09'
 sheepdog:
   externalSecrets:
-    dbcreds: "chords_staging-sheepdog-db-creds"
+    dbcreds: chords_staging-sheepdog-db-creds
   enabled: true
   image:
     repository: 707767160287.dkr.ecr.us-east-1.amazonaws.com/gen3/sheepdog
-    tag: 2025.08
+    tag: '2025.09'
   fenceUrl: https://staging.chordshealth.org/user
-
 manifestservice:
   enabled: true
   image:
     repository: 707767160287.dkr.ecr.us-east-1.amazonaws.com/gen3/manifestservice
-    tag: 2025.08
+    tag: '2025.09'
   externalSecrets:
-    manifestserviceG3auto: "chords_staging-manifestservice-g3auto"
-
+    manifestserviceG3auto: chords_staging-manifestservice-g3auto
 ssjdispatcher:
   enabled: true
   image:
     repository: 707767160287.dkr.ecr.us-east-1.amazonaws.com/gen3/ssjdispatcher
-    tag: 2025.08
+    tag: '2025.09'
   externalSecrets:
     createK8sSsjdispatcherSecret: true
-
+  indexing: quay.io/cdis/indexs3client:2025.09
 metadata:
-  useAggMds: False
+  useAggMds: false
   externalSecrets:
-    dbcreds: "chords_staging-metadata-db-creds"
-    metadataG3auto: "chords_staging-metadata-g3auto"
+    dbcreds: chords_staging-metadata-db-creds
+    metadataG3auto: chords_staging-metadata-g3auto
   enabled: true
   image:
     repository: 707767160287.dkr.ecr.us-east-1.amazonaws.com/gen3/metadata-service
-    tag: 2025.08
+    tag: '2025.09'
     esEndpoint: http://elasticsearch:9200
-
-# disabling workspace services
 ambassador:
   enabled: false
 wts:
   enabled: false
-
-
 sower:
   enabled: false
-
 hatchery:
   enabled: false
-
-# disabling audit service
 audit:
   enabled: false
-
-# disabling argo-wrapper service
 argo-wrapper:
-  enabled: false
\ No newline at end of file
+  enabled: false