{
    "type": "bundle",
    "id": "bundle--5c5d6a71-da60-46ba-bc18-42d4950d210f",
    "objects": [
        {
            "type": "identity",
            "spec_version": "2.1",
            "id": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:49:18.000Z",
            "modified": "2019-02-08T11:49:18.000Z",
            "name": "CIRCL",
            "identity_class": "organization"
        },
        {
            "type": "report",
            "spec_version": "2.1",
            "id": "report--5c5d6a71-da60-46ba-bc18-42d4950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:49:18.000Z",
            "modified": "2019-02-08T11:49:18.000Z",
            "name": "OSINT - DanaBot updated with new C&C communication",
            "published": "2019-02-08T11:49:55Z",
            "object_refs": [
                "indicator--5c5d6b05-4c10-4a17-8463-4198950d210f",
                "indicator--5c5d6b05-1788-4af2-b0d1-4dd4950d210f",
                "indicator--5c5d6b05-5b50-4f2e-be1c-40d4950d210f",
                "indicator--5c5d6b05-418c-4d37-85a4-49cb950d210f",
                "indicator--5c5d6b05-66c4-4ec8-b52d-43b1950d210f",
                "indicator--5c5d6b05-0de8-48de-961e-4589950d210f",
                "indicator--5c5d6b21-de34-4dde-9244-4e7f950d210f",
                "indicator--5c5d6b21-4928-4656-b206-4d03950d210f",
                "indicator--5c5d6b21-2890-4a6c-8d62-4c45950d210f",
                "indicator--5c5d6b77-3c20-4699-8d35-4190950d210f",
                "indicator--5c5d6b77-a534-47c3-8984-4b58950d210f",
                "indicator--5c5d6b77-15e8-4e3e-b76e-4c49950d210f",
                "indicator--5c5d6b77-a27c-4527-a7b0-4a24950d210f",
                "indicator--5c5d6b77-d664-44e7-9e7a-43a3950d210f",
                "indicator--5c5d6b77-78d8-4a6c-a2aa-4672950d210f",
                "indicator--5c5d6b77-d060-4077-9ee8-4ae1950d210f",
                "indicator--5c5d6bc5-5ce4-41ce-84d8-438a950d210f",
                "indicator--5c5d6bc5-44e4-455f-a85b-4619950d210f",
                "indicator--5c5d6bc5-7b48-4c19-92c8-4ff6950d210f",
                "indicator--5c5d6bc6-1144-4b60-a261-4cec950d210f",
                "indicator--5c5d6bc6-9d20-4dda-b223-4dc3950d210f",
                "indicator--5c5d6bc6-a804-4ef2-8ead-494d950d210f",
                "observed-data--5c5d6c4d-fddc-4889-9442-4da9950d210f",
                "file--5c5d6c4d-fddc-4889-9442-4da9950d210f",
                "artifact--5c5d6c4d-fddc-4889-9442-4da9950d210f",
                "observed-data--5c5d6c97-41a8-4b1b-a0ad-4482950d210f",
                "url--5c5d6c97-41a8-4b1b-a0ad-4482950d210f",
                "x-misp-attribute--5c5d6cb0-c3f4-4a8f-a32d-4139950d210f",
                "indicator--809364d9-f8ed-485e-92db-60638ead238f",
                "x-misp-object--1e3059fc-984b-493e-bc29-fc20bd3b0995",
                "indicator--a8e983ae-06de-41b1-a289-064ea6badeeb",
                "x-misp-object--b74bed56-8cd2-45ce-8d22-8172c7243e6f",
                "indicator--11ab22da-a5e0-4a38-8fc3-9f9aaf44346a",
                "x-misp-object--9368ef9c-5fcc-49f5-b13a-258fdafe4b15",
                "indicator--46b1753f-048d-42c6-ad26-3ecc56d33076",
                "x-misp-object--07554fd7-f152-4243-805d-c359f5334102",
                "relationship--e665e527-0d0c-4057-adb2-87fe06beadf0",
                "relationship--6ff82921-506f-4be2-ba8e-e58c795016a5",
                "relationship--e193d612-17c4-465e-b12b-e37a59378c03",
                "relationship--c3c201b6-9758-4017-8259-ae0574e3894c"
            ],
            "labels": [
                "Threat-Report",
                "misp:tool=\"MISP-STIX-Converter\"",
                "misp-galaxy:banker=\"DanaBot\"",
                "misp-galaxy:malpedia=\"DanaBot\"",
                "type:OSINT",
                "osint:lifetime=\"perpetual\"",
                "osint:certainty=\"50\""
            ],
            "object_marking_refs": [
                "marking-definition--613f2e26-407d-48c7-9eca-b8e91df99dc9"
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b05-4c10-4a17-8463-4198950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:41:57.000Z",
            "modified": "2019-02-08T11:41:57.000Z",
            "description": "C&C servers used by the new version of DanaBot",
            "pattern": "[network-traffic:dst_ref.type = 'ipv4-addr' AND network-traffic:dst_ref.value = '84.54.37.102']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:41:57Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Network activity"
                }
            ],
            "labels": [
                "misp:type=\"ip-dst\"",
                "misp:category=\"Network activity\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b05-1788-4af2-b0d1-4dd4950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:41:57.000Z",
            "modified": "2019-02-08T11:41:57.000Z",
            "description": "C&C servers used by the new version of DanaBot",
            "pattern": "[network-traffic:dst_ref.type = 'ipv4-addr' AND network-traffic:dst_ref.value = '89.144.25.243']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:41:57Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Network activity"
                }
            ],
            "labels": [
                "misp:type=\"ip-dst\"",
                "misp:category=\"Network activity\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b05-5b50-4f2e-be1c-40d4950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:41:57.000Z",
            "modified": "2019-02-08T11:41:57.000Z",
            "description": "C&C servers used by the new version of DanaBot",
            "pattern": "[network-traffic:dst_ref.type = 'ipv4-addr' AND network-traffic:dst_ref.value = '89.144.25.104']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:41:57Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Network activity"
                }
            ],
            "labels": [
                "misp:type=\"ip-dst\"",
                "misp:category=\"Network activity\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b05-418c-4d37-85a4-49cb950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:41:57.000Z",
            "modified": "2019-02-08T11:41:57.000Z",
            "description": "C&C servers used by the new version of DanaBot",
            "pattern": "[network-traffic:dst_ref.type = 'ipv4-addr' AND network-traffic:dst_ref.value = '178.209.51.211']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:41:57Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Network activity"
                }
            ],
            "labels": [
                "misp:type=\"ip-dst\"",
                "misp:category=\"Network activity\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b05-66c4-4ec8-b52d-43b1950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:41:57.000Z",
            "modified": "2019-02-08T11:41:57.000Z",
            "description": "C&C servers used by the new version of DanaBot",
            "pattern": "[network-traffic:dst_ref.type = 'ipv4-addr' AND network-traffic:dst_ref.value = '185.92.222.238']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:41:57Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Network activity"
                }
            ],
            "labels": [
                "misp:type=\"ip-dst\"",
                "misp:category=\"Network activity\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b05-0de8-48de-961e-4589950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:41:57.000Z",
            "modified": "2019-02-08T11:41:57.000Z",
            "description": "C&C servers used by the new version of DanaBot",
            "pattern": "[network-traffic:dst_ref.type = 'ipv4-addr' AND network-traffic:dst_ref.value = '192.71.249.51']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:41:57Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Network activity"
                }
            ],
            "labels": [
                "misp:type=\"ip-dst\"",
                "misp:category=\"Network activity\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b21-de34-4dde-9244-4e7f950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:42:25.000Z",
            "modified": "2019-02-08T11:42:25.000Z",
            "description": "Webinject and redirect servers",
            "pattern": "[network-traffic:dst_ref.type = 'ipv4-addr' AND network-traffic:dst_ref.value = '47.74.249.106']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:42:25Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Network activity"
                }
            ],
            "labels": [
                "misp:type=\"ip-dst\"",
                "misp:category=\"Network activity\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b21-4928-4656-b206-4d03950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:42:25.000Z",
            "modified": "2019-02-08T11:42:25.000Z",
            "description": "Webinject and redirect servers",
            "pattern": "[network-traffic:dst_ref.type = 'ipv4-addr' AND network-traffic:dst_ref.value = '95.179.227.160']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:42:25Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Network activity"
                }
            ],
            "labels": [
                "misp:type=\"ip-dst\"",
                "misp:category=\"Network activity\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b21-2890-4a6c-8d62-4c45950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:42:25.000Z",
            "modified": "2019-02-08T11:42:25.000Z",
            "description": "Webinject and redirect servers",
            "pattern": "[network-traffic:dst_ref.type = 'ipv4-addr' AND network-traffic:dst_ref.value = '185.158.249.144']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:42:25Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Network activity"
                }
            ],
            "labels": [
                "misp:type=\"ip-dst\"",
                "misp:category=\"Network activity\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b77-3c20-4699-8d35-4190950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:43:51.000Z",
            "modified": "2019-02-08T11:43:51.000Z",
            "description": "Win32/TrojanDropper.Danabot.O",
            "pattern": "[file:hashes.SHA1 = '98c70361ea611ba33ee3a79816a88b2500ed7844']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:43:51Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha1\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b77-a534-47c3-8984-4b58950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:43:51.000Z",
            "modified": "2019-02-08T11:43:51.000Z",
            "description": "Win32/Spy.Danabot.L",
            "pattern": "[file:hashes.SHA1 = '0df17562844b7a0a0170c9830921c3442d59c73c']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:43:51Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha1\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b77-15e8-4e3e-b76e-4c49950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:43:51.000Z",
            "modified": "2019-02-08T11:43:51.000Z",
            "description": "Win64/Spy.Danabot.G",
            "pattern": "[file:hashes.SHA1 = 'b816e90e9b71c85539ea3bb897e4f234a0422f85']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:43:51Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha1\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b77-a27c-4527-a7b0-4a24950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:43:51.000Z",
            "modified": "2019-02-08T11:43:51.000Z",
            "description": "Win32/Spy.Danabot.I",
            "pattern": "[file:hashes.SHA1 = '5f085b19657d2511a89f3172b7887ce29fc70792']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:43:51Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha1\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b77-d664-44e7-9e7a-43a3950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:43:51.000Z",
            "modified": "2019-02-08T11:43:51.000Z",
            "description": "Win64/Spy.Danabot.F",
            "pattern": "[file:hashes.SHA1 = '4075375a08273e65c223116ecd2cef903ba97b1e']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:43:51Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha1\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b77-78d8-4a6c-a2aa-4672950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:43:51.000Z",
            "modified": "2019-02-08T11:43:51.000Z",
            "description": "Win32/Spy.Danabot.K",
            "pattern": "[file:hashes.SHA1 = '28139782562b0e4cab7f7885eca75dfca5e1d570']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:43:51Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha1\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6b77-d060-4077-9ee8-4ae1950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:43:51.000Z",
            "modified": "2019-02-08T11:43:51.000Z",
            "description": "Win64/Spy.Danabot.C",
            "pattern": "[file:hashes.SHA1 = 'b1ff7285b49f36fe8d65e7b896fccdb1618eaa4b']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:43:51Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha1\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6bc5-5ce4-41ce-84d8-438a950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:45:09.000Z",
            "modified": "2019-02-08T11:45:09.000Z",
            "description": "Win32/Spy.Danabot.H",
            "pattern": "[file:hashes.SHA1 = '890b5473b419057f89802e0b6da011b315f3ef94']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:45:09Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha1\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6bc5-44e4-455f-a85b-4619950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:45:09.000Z",
            "modified": "2019-02-08T11:45:09.000Z",
            "description": "Win32/Spy.Danabot.C",
            "pattern": "[file:hashes.SHA1 = 'e50a03d12ddac6ea626718286650b9bb858b2e69']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:45:09Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha1\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6bc5-7b48-4c19-92c8-4ff6950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:45:09.000Z",
            "modified": "2019-02-08T11:45:09.000Z",
            "description": "Win64/Spy.Danabot.E",
            "pattern": "[file:hashes.SHA1 = '9b0ec454401023df6d3d4903735301ba669aadd1']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:45:09Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha1\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6bc6-1144-4b60-a261-4cec950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:45:09.000Z",
            "modified": "2019-02-08T11:45:09.000Z",
            "description": "Win32/Spy.Danabot.B",
            "pattern": "[file:hashes.SHA1 = 'dbfd8553c66275694fc4b32f9df16adea74145e6']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:45:09Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha1\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6bc6-9d20-4dda-b223-4dc3950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:45:10.000Z",
            "modified": "2019-02-08T11:45:10.000Z",
            "description": "Win32/Spy.Danabot.D",
            "pattern": "[file:hashes.SHA1 = 'e0880dcfcb1724790dfeb7dfe01a5d54b33d80b6']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:45:10Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha1\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--5c5d6bc6-a804-4ef2-8ead-494d950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:45:10.000Z",
            "modified": "2019-02-08T11:45:10.000Z",
            "description": "Win32/Spy.Danabot.G",
            "pattern": "[file:hashes.SHA1 = '73a5b0bee8c9fb4703a206608ed277a06aa1e384']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:45:10Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "Payload delivery"
                }
            ],
            "labels": [
                "misp:type=\"sha1\"",
                "misp:category=\"Payload delivery\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "observed-data",
            "spec_version": "2.1",
            "id": "observed-data--5c5d6c4d-fddc-4889-9442-4da9950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:47:25.000Z",
            "modified": "2019-02-08T11:47:25.000Z",
            "first_observed": "2019-02-08T11:47:25Z",
            "last_observed": "2019-02-08T11:47:25Z",
            "number_observed": 1,
            "object_refs": [
                "file--5c5d6c4d-fddc-4889-9442-4da9950d210f",
                "artifact--5c5d6c4d-fddc-4889-9442-4da9950d210f"
            ],
            "labels": [
                "misp:type=\"attachment\"",
                "misp:category=\"External analysis\""
            ]
        },
        {
            "type": "file",
            "spec_version": "2.1",
            "id": "file--5c5d6c4d-fddc-4889-9442-4da9950d210f",
            "name": "Figure5a.png",
            "content_ref": "artifact--5c5d6c4d-fddc-4889-9442-4da9950d210f"
        },
        {
            "type": "artifact",
            "spec_version": "2.1",
            "id": "artifact--5c5d6c4d-fddc-4889-9442-4da9950d210f",
            "payload_bin": "iVBORw0KGgoAAAANSUhEUgAABdwAAAKbCAIAAABgrd9pAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAP+lSURBVHhe7P0JnBTVvTf+T+/bzLAMmwHCIuICcUh+ETXGLWj8yaNkMWi8iZAouZE8LvmJ2TRiXG9MxCcuT0xy1QS8eQwSTaK+8DGKawyK/iNjcEMQuGAEhoFhZnrf/p/qc6Yourp7urtOr3zeqWCdmurau6rOt89iS6fTLUREREREREREVF12+V8iIiIiIiIiIqoiBmWIiIiIiIiIiGqAQRkiIiIiIiIiohpgUIaIiIiIiIiIqAYYlCEiIiIiIiIiqgEGZYiIiIiIiIiIaoBBGSIiIiIiIiKiGmBQhoiIiIiIiIioBhiUISIiIiIiIiKqAQZliIiIiIiIiIhqgEEZIiIiIiIiIqIaYFCGiIiIiIiIiKgGGJQhIiIiIiIiIqoBBmWIiIiIiIiIiGqAQRkiIiIiIiIiohpgUIaIiIiIiIiIqAYYlCEiIiIiIiIiqgEGZYiIiIiIiIiIaoBBGSIiIiIiIiKiGmBQhoiIiIiIiIioBhiUISIiIiIiIiKqAVs6nZajZE3XP99ev+EtmcgYN2b0WXNOkwlqOssfWiXHBuF046TLBBEREREREVFBDMoogyz6iof+KBMZnZ845o5brpcJajpz5l0gxwbhdOOkywQRERERERFRQay+RERERERERERUA4pLyjy15vmdu7tlIo9pUyaPHTN62tTJMt0sWFLmUMOSMkRERERERGSF4qDMVdfe0PXPt2WioHFjRn9+zqnnzZvbGgjISQ2OQZlDDYMyREREREREZEXNqi/t3N294qE/fm3R5S+/8pqcRERERERERER0yKhZSRmj71+5mL0UEREREREREdEhpS4a+v3ZnfeWEcohIiIiIiIiImpcFS8p0/mJYzpnHmhlY/OWbTnrK7H5FSIiIiIiIiI6pFQ8KLPgwq8svHC+TGRs+mDrz++6F//K9KBf/+I20SXTzt3dT615XkzUiYUMBIMvv/Lay6++jhEkp02Z/J1FCzN/P0DM07XhnZ27dweDIayoNRA4fOokzNw585iTTjhOzpeBmR95bLVMDJo1c0a+5lpzbptorhg7vn7DW3JSxrgxowtUyxKL6trw9uYPtondARyBw7XtPDrfBwscnCzmnrDy7RcO0V+ffWHTlq3Gc4c5sVM4YhiG7CoLBxwfl4lBObdKMG8bzk7WqYHMeXxbLFlsG7Zq3JgxOD6YOWcT0QXOAtaYuXhkTPCsz52adZDFpbV5y1b94hRXjlhj5ydmYFFiurD8oVVybBAWmDWPUeZ0v2NePo5wgQ8W2CNcNk+teQF7JC4hTB87dvRJxx931pxTcx4cIiIiIiIiqis1CMoA5sGcMjFInzPnX9c8thJZ2etvvd2Ymc8qX4N86YqH/mgOshhNmzr5e1csNkYZvrbosqwAATL8N15ztUwc7Jf3Lc9aPnLCv7/vHowU3/sStvOX960wx1aMkKnGATlv3lyZHpTv4MgxgyIDZL+8f3nWbGY5T6IR9uVnd94rE4P0KFsW7P4XLrxYJgZltSuEg4yDiTll2gTHBx8xx3HynQVsIY65cYHGnXr5lddwZrMuA7OszpWK732pmOXjg9+/8jvm0EzOPcL1WeBSx8FZdsvSIUNpREREREREVFu1aVMGuUpz5nPzlm1yLBdkqr/93R9kZWuNxQGQ315y7Y2FIzKw6YOtmE0vqgA5C2jIMZOn1rwgxwZ92RQ3KQyr/tqiywtHZCATuFlujnQoJA7FkBEZmDVzhhzLw3wMQS+TksV8DHEejREZ7DX2vUBEBvDXpbfePuRhFLBADFkL1C8eLASLGjIiAzkDLkPCqotZPk7Et6/8gfHKzGfXrm5cQgUudfFdKHwAiYiIiIiIqOZq1tDv2LHZQZnCechf3rdCjhkcPmWSHGtpyQq1FIAVXX/r7TKRJ6qSMy6DieaNPGvOqXKsCCIOUnxu+ak1z5vryCghDkKRWzJkMCIrqiL8/dXX5djB/vpsdlDGeAx/ed/yIkMt8LM77x0y2LH5g205FzhtilaQBGcECxFTCis7IlP87uB0FHN5YJeHnAczmINfREREREREVFfqovelYuTMhYp8NSDfa47IIBf9/SsX33HL9eZ4AbK1ekGDcWNGmyt6vJwroGCemK9lk3x+fld2eY0hrXjoj8UU4ijVy6+8VuRiiwxGnHT8p+XYIJwR8yowxXymPv85GZQxnhcdTtB3Fi3EeVxw4VfMR/uX9y2XY3nkO+CHT9Uieo8+/qRIDsnYXnWRcJCLj8gI2Nqc8ccydG0YugwUERERERER1VDNgjKbP8iurKRHWAqYNnUycub6MHawDlRWoxtw1pzTRDhGhGYws/zDIGN5DT0ooMtXUkaODTrL9MECckaOTjrhuN/fd8+ax1ZiwIg5fgTmvbPOHGDCsdW3RAw4gN9ZtLDIfcwZnzIfMfMUrFcPipn3FH/69Z23nTdvLs7jwgvnm9v6wQKLjHNhC/UrR7TNjIk5zumc0/7y0AP6QcC4iAcNWYfLzBwwwkpxNeoLx+6YDxquk2LiZWJ3sG3iNJmXs6sCsTwiIiIiIiJSqDZBmUceW23OSBcuiSCCF7/+xW3ImeuDyMznLJHxnUUL5FgGZpZjg/ApfRvMVZDwp6zGVsyZ/3FjRmOrZKII5kIZ+Diy5XrzOhjJ2XitOXBgnfn4jx0zWt8SofMTx5w3b27OOFFO5sNoblbGXHfpy+eeLcdy7emCrx5UOgabZC65U0xDxX956AEcav3K0TvtMh+Hw6dMMq4R4yIeZF5vYdgX82W57JalxuOJc40pMmFQ+Izjstd3RxwQnCbso/zzIHMEkIiIiIiIiOpKDYIyjzy2OmcJgsIBDmPwIou5mgayqeaCA+ZMtV5aJ+faswIKOesuybEiIPNvziQv+Gp2RhpydvKtPIM9bswYOTbo5Vdeu+raG55a87w5TlEkc4Gjrn++bVxazrpL+mE0hsl05oNsDt6Ze+M2wnlfeOF88/UgmC8qXJw/u/Ne64Ew82WJfdHLBOkwxRz2KlzzKBDwm3enmIJmREREREREVFcqHpRB9nL5Q6vEsPTW27+26LKcjYB8/8rFcqx05pz8rl3d+kr1ARPlnwcZM/PmJlGysuXmXHpJ/S6Zq2shX23OosO4MaPNWW7lVVE6Zx4txwy6/vn2z+689wsXXlxeVAK7Y45xGJdjXuZZc07TdzYYDIkRo6yTiMEcsCjcb1dhnZ/IUSnpqUx/TDgOuFbLDoeZQ0X5yoIZ26sWWPOIiIiIiIjoUFD5oMw/317x0B/FgDx5zsYykDMvqdRJFnMuHWvRV6oP5lUboznYgKxQiLFYh7n8SGeuXr0LWL/hLTk2SDQ0m5P5T4ULg5QBx7zA9ouoxNcWXVZqaObzOWowHShh9KipEV9jgzXmQwRZJxGDubKSOSpXPHOtHx0W+8hjq7/93R9cde0NZYRmzNuZrzCLeXrZkSAiIiIiIiJqIDVr6Fd33ry5VorJqNKaqwaTHu4x110qqYnf+nRDrlZmjXbu7l566+1F9hgt5KiJMxib2GRq+mfcmNHmOmVVhm0Y8vLDLnz7uz94qsR+lIiIiIiIiIgKq2VQZtrUyaLjGJmuNXMNJtEq7UAwmFVgpDUQMEcfGg6O/6/vvG3IsMhTa57PWeMsp3Gm/sX1o5ejid9S6n9VDk4lrsMhyz0paWiGiIiIiIiISFeDoAwy7efNm/vrX9yGQUlBCXNxDyx2gaHn7HxDVifHJ51wXFbOfFOm6VlzPZQyKluZN9Lcxo3O3LpKhZpxxf7eccv1OBGFazPl7C0rH2NvSoIocGSuZZZ1GM2HCJuUdcpyDtZLLeGC+f1999x4zdXmWmxGK/5QQt/k5uXs3L1bjh3MfGyzAltERERERETUlCoelBHFEMSAfO+ax1b++he3fWfRQoXZTnM7qdOmTBY9HxcezCGhHDWY/vm2ue6SOe4wJHNUZefu7pyRDkw0NykytpT2a0qFc/H9KxeLHsfPmzc3Z3Sm+EIiOY7hhreNDfQImC1rReZD1NoayDplOQdVpZawSTdec7XobRrLNEdVzDWwCjA3DJSvQWJzuKqip5uIiIiIiIjqRMWDMmPHjOr8xDFiKFAWwwpzZv7lV14rvmSHUY5OnTe83fXPgxqgnTZ1chkRJXMACB4xNXwLT63JrubTmqefJl3xkYLCsJbvLFr4+/vuMQdWil8Ftjbr45s+2GqO6ZiLt+Ro3viDreb4VBVg+zNRqrvNV2yB8k1ZzH0t4cyaL0tMMR+cfP00ERERERERUTOpfUO/1pnjHTt3dy+59sZ8+XlMzxkNAXPABRnmrHhEGcVkBHOkY8VDf8zaEqwOE2VikPGDY8fmCGwZe27u+ufbWOZV195grnVlNJCrWpaQM55VoFKPmTngktXv0rgxo81HI2fsCefRHLMQcF6eWvO8xYAUPp7vOhnI1UV3IOCXY0M56fjsHcSBxe4YNxhTfnbnveZdMB8cIiIiIiIiaj62dDotR1UwxwIWXPiVhRfOl4niYAlYjkwMWvPYSjmWy9Jbb8+ZdUfm3xjFCAZDeg78Lw89kDPQ8Mhjqwu3a5vvg8sfWpUVT+n8xDF33HK9TOTZL8DSRCGRXbu6zflz/PXXd95mLLIxZ94FcqxExnNh3JhpUycbYw05gzW//sVt5ohJAV+48OKcwR3hvHlzczbwnO/g64dIp2+kaAhGjMOQZyGLcX5jdM94qeiwGTj7MpHrRGBFxoXkC43pBzznX7MOTpF7ZDyhusLfGiIiIiIiIqqtZigpAwu++hU5drCdu7uRWdUHYzZ78we5G/goXEghZ1MjRUJeGvltmTAQhVYwmCMy8J1FC7Iq0Riz/WUzNjqLw6IfIgxyqgHWWFJEBgofxnz9Lp0151RzjSHQD5F5IzdtyV3OpUi7du+RY5m4hj7kLD7z5XmlFZL6/pXfyXm16Adcpg1wnBdcmPtiJiIiIiIioibTJEEZZGW/f+VimSjO+g0HtRSjGzdmdIGoh8WOfkpt4fi8eXPNrdgWuQ2Fg0c5A0A5YTnfuaTkbssLbCQOb87IC2BdN1xzdUlhL3MruSXJ1yOSGU5czphaAdjNki5LzP+9KxaXtPtERERERETUuJokKANnzTntxmuuzpfbN8vXFQ7kCygUjtcUSfRwJBP5IWeO3clZxwd7ao7UGE2bOvmOW643t5trVGD3jbCoX99ZWsUloUDkpXBQCetadsvS4o9zvhJPRSry4zjg2KoywiUnnXAczngxl6U2Z1mHmoiIiIiIiBqU4yc/+YkcVQFZfbfbNW7saH2YNbPkmi8DweD2D/9lXAiGwmEI4eMTxp8159SPT/hYi822b9/+WDwu/2CA7PHhmSIPZ33u1JEjhsupB8Pq3tn4vnHtYsCnCuzLrt3dA6GQcf5pUyYf96lZ8s8GmIjdsbW07NvXa25NtvMTxyy88Cvf/c6iAutCBh47sqt7z959vXJSJo5z+ikn/c9FCxct/DesvfC5iMViOErxWDxnc7ZY1HH/z6xvLfi37yxaaKXgBk6BcQPE8D8XfUP+OQ+cFxwfHD232x0MBvNt4dFHHfHZE45beOF8LFNOLeUsCLE4joPWgky+q+WkE2Z//8rF5559JjZGTh3UteFt44ownHT8ceaLClNw5WhxGZtt+45/yamD9FVgHvMqoMg9KvtbQ0RERERERLWiuKHfuoJsqrEcRCDgr89iCHrbIuVt4c7d3bt2dR8+dVLZ0ROxBJnIdE1tJRBTCVnNr1gvr5TTpg+2Bg0BoAqtxXi06/BQExERERERUdU0c1CGiIiIiIiIiKhuNU+bMkREREREREREDYRBGSIiIiIiIiKiGmBQhoiIiIiIiIioBhiUISIiIiIiIiKqAQZliIiIiIiIiIhqgEEZIiIiIiIiIqIaYFCGiIiIiIiIiKgGGJQhIiIiIiIiIqoBBmWIiIiIiIiIiGrAlk6n5SgRERERERE1qXdWPPnuiidlgohU+NIzd8mxcjEoQ0RERERE1PzW3fjAupt+KxNEpMJl8ZfkWLlYfYmIiIiIiIiIqAYYlCEiIiIiIiIiqgEGZYiIiIiIiIiIaoBBGSIiIiIiIiKiGmBQhoiIiIiIiIioBhiUISIiIiIiIiKqAQZliIiIiIiIiIhqgEEZIiIiIiIiIqIaYFCGiIiIiIiIiKgGGJQhIiIiIiIiIqoBBmWIiIiIiIiIiGqAQRkiIiIiIiIiohpgUIaIiIiIiIiIqAYYlCEiIiIiIiIiqgEGZYiIiIiIiIiIaoBBGSIiIiIiIiKiGmBQhoiIiIiIiIioBhiUISIiIiIiIiKqAQZliIiIiIiIiIhqgEEZIiIiIiIiIqIaYFCGiIiIiIiIiKgGGJQhIiIiIiIiIqoBBmWIiIiIiIiIiGqAQRkiIiIiIiIiohpgUIaIiIiIiIiIqAYYlCEiIiIiIiIiqgEGZYiIiIiIiIiIaoBBGSIiIiIiIiKiGmBQhoiIiIiIiIioBhiUISIiIiIiIiKqAQZliIiIiIiIiIhqgEEZIiIiIiIiIqIaYFCGiIiIiIiIiKgGGJQhIiIiIiIiKo1neOv4Uz8pBozLqdVyWfwlMXzpmbvkJGpMDMoQERERERERlWZU5xFfeuYuMWBcTiUqEYMyREREREREdKjTy55kDd/qfnLuI7dOnXeynI9IKQZliIiIiIiIiHLzDG+dOu/kuY/c+qVn7qp+NaV81t30WzG8u+JJOYkaE4MyREREREREREMYf+on66cBl3U3PiCGdxiUaXAMyhARERERERFJH77wxj2uk/VhzSW3RnsHxJ9GdR5x9IKzxTiRErZ0Oi1HiYiIiIiIqElpBStu+q1MkMll8ZfEyIcvvPGnM64Q44KxjMwHj720+rxrsiZifnxKjIv+mMQ4jrkY0R294Oy2yYdhpH/rR+ZCLvgrPts2aRzGo/sHsMw9XZvEn4Q9Xe+LCNHspReLKcblmFc9qvOIqV84efwps8REbHzXXavEuFH7pHFTMNupn/QM0+pn9W/b2bdt5wd/eQmrEzNQPvplUzYGZYiIiIiIiJofgzKFFQjKwMJNq2SspHfgP0drhWXG5wnKzF568ezrvinG73FlNw+Mj4i4SdZaRnUeccb9PxqyFyd9RTm31rjqFdPmz7n/Gj1Go9vT9T7m18v+wNELzv7ssityNpfzh09fzLhMYdaDMqy+RERERERERFRI39aPxEgl2vrFMr802K92tFcrIIOhf9tO8dfyLNi0yhyRAayl84rzZaKlZeq8k+fcf03OncKWMCJTBQzKEBERERERERWihy2MZUxUOXmwoMqervdXHDH/T2dcgWH5tPnGnpXExJKiJP3bdmIJopOmDx47UKBDr80Es5fKkjXYrzWX3CrWguGlJXd13Z2johMpx6AMERERERERUV7jT/2kXrFoiyG6oYpepKXrrlXGoI+xSRpRgqb4kNDq865ZPm3+M5fcqlVbu/EBJPWAjrEEjb5fXXevemfFk6KQDgZsiXHtVDkMyhAREREREdWdrg1vY3j5lddWPLQKw8/vunfJtTdg+OK/XXzGFy5AUs5HFTb+1E/O/eOtMtHSUokuqEVrNdB3cJUlY7LUalPGojHCB4/9TY4Z6FGezsvns2OpmmBQhoiIiIiIqF4MBIPf/u4PzvjCBSIEc/1/3L7iD3/E8NSa50WYBjNgtp27dov5SblRnUd86Zm7xPCt7ifxrx4QeTdTlkSMK6Q3H5PVCowxSlKh5l30GlLYxzn3X7Nw06qTl13RPhgkoipgUIaIiIiIiKhe/Pyuezdv2SoTVAue4a3jM31LYzCWT1l302+fueRAkRmF9NI3s6/75hmZLpMwnLzsis8uk90qZVVrUmjdTQ8Yw0xtk8Z1XjF/waZVcx+5laGZ6mBQhoiIiIiIqC7ce//yl195TSYK2rxlmxyjChPN5a6YNr9ybaxgyXqJlaMWnC0K6XReMV+EhPCnl5bIvreVi/YO/OmMK9ZccmtWZ09T5518weu/ZVymChiUISIiIiIiqr2n1jz/yGOrZWIoohITVcKervf1TojucZ0smsvNau1Fue5M7aT+bTv14Ag2490VT2IbKlQ8x+idFU9iN//w6YuNRXI8w1s/e4csqkOVw6AMERERERFRjW3espVt99aJaKafIzHISRXWPmncyZmaSi9dddfyafPvcZ2M4Q+fvviZS26t2jbAnq73X1py14oj5usrnTrvZDFClcOgDBERERERUY2t+MMfz5pz2oKvfgXDDT+6etkt1//6F7dhkH/OpWvD23KM6km0t1+OtbR0XjFfjmUKnsxeerHeBbXRlC/I2MfUL5ysN2cjBjG9mqK9A3u6NskEVR6DMkRERERERDV2w4+u/t4VixdcOB/DSScc1znzmEAgsOTaG+WfqXEYIxonL7tCNBDz1dcf+Fb3k7Ov+6ax5WAzvUEZfbgs/hI+W7kSK3MfuRVrwXbOXnqxGLA6PZZk7leblLOl02k5Wq7+cCSeSMoEEVnmcjrafF6ZoBL1Dwy8s3GzTBCRCkdPP7yttdAbJBXQveLZyLZumSAiy7yTRo9e8DmZaGoDweCSa28s3A3TDT+6+qQTjpOJIqy78YF1N/1WJsjksrgMQHz4wht/OmPotlTGn/rJLz0j29/F/MZ6Rgs3rWrL1USuaK5FxGWMa8GUBe+vKhyvWXPJrXonTZBza7WoynXfFOP3uLLjODn/qi/HTLQBXKGuuJtGgQNYJAVBmX/19IZjcZkgIst8btfHOobLBJXow492/nn1X2WCiFT44tzPjz+MnS+U6a0zl/a9uEEmiMiy9lNmznj6kCg8cv1/3J7VDdPhUyYHg8Gduw/EebW6ThceqB0zJAZlClMYlBnVeQT+lBVkeXfFkzgFczI9XiOZFZTB/G2TDsuKgGC6Xt0p2jvwn6PPFuOgJCjTPmncgk2rxJQsHzz20t+uuqvSzRs3AQZliJoQgzJWMChDpByDMlYwKEOk1iESlLn3/uVZ3TC1BgLLbln6y/uWG9uRYVBGLb0Bl0yjKkMXDzFGTDC/KAWjw1+nzju5bfJhGN+z/v0PX3xDzICPiGCNcS1fff0BTMfZwTkSU3TG+I4x9JNza9snjRNrBGOQSMj5V7EXWX8y7w7lw6AMURNiUMYKBmWIlGNQxgoGZYjUOhSCMk+ted7cDdOyW67vnHnMkmtvMAZlzppz2veuWCwTRWBQpj6N6jziq69rsZis4ja6Lz1zlwjB5JuBash6UIYN/RIREREREdWFnB1jf++KxZ0zj8HItKmTxRTh8587VY5RI5s62PWSXvjFCBPF9Gimo24xkZoJgzJERERERES1t3N3t7m7pbPmnIZBjAf8fjECeqSGGl3/1o/EyOzrvnnG/ddMnSd7xT56wdlI6s3WdN2du/EXanQMyhAREREREdXYQDB4/a2341+ZzuiceUzOCkrGSA01undWPKk3CnPUgrNFH9UY5tx/DZJiumgkWIxTk2FQhoiIiIiIqMZ+fte9WR1gHz5l8g3XXC0TGZ2fmKH9mydSQ43rT2dc8a6hu2uj/m0711xy6zOX3CrT1HQYlCEiIiIiIqqle+9fntUBdmsg8P0rF+NfmR5kjtRQE4j2Djxzya3/OfrsP51xhdYHU2ZYc8mtK6bNXz5t/jt54jXUHBiUISIiIiIiqpmn1jyf1QE23HDN1YdPOahZXxg7ZnTOSA01B9GUr9ZJVmZ4Z8WTfdt2yr9R82JQhoiIiIiIqDYKd7eUZdyY0eZIDRE1NAZliIiIiIiIamDI7paIqOkxKENERERERFRtJXW3RETNikEZIiIiIiKiaiumuyUianoMyhAREREREVVV8d0tEVFzY1CGiIiIiIioeorvbomImh6DMkRERERERFVSUndLRNT0GJQhIiIiIiKqBna3RERZGJQhIiIiIiKqOHa3RERmtnQ6LUfL9a+e3nAsLhOHsO07djz88CMycbAjpx/R0dExYeL4iRMmyElE+fncro91DJcJKtGHH+388+q/ygQRqfDFuZ8ff9g4maASvXXm0r4XN8gE5eGZNAaDGA+9uSXRe1CWlcio/ZSZM57OLmnSKK7/j9uzGvc9fMrkZbcsrVrjvutufGDdTb+VCSJS4bL4S3KsXCwpo0w4FN648f2cw+NPrP7d8gdvvvmn11x7/dq1r8oPEBEREVFLy5gFpyObLQb/sVPk1EPD6ItOn3jdBRgwIieVSywHQ/spM+UkqifsbomIcmJQpqp6enp+t/zBZXfcGQqH5SQiIiKiOoCcvD4EOouKjBg/ohd1oZKMWfC5CT++AANG5KRyieVgGHbqDDmJ6ga7WyKifBiUqYgTTzxhyVVX6sO558ydOPFAxaWNG9+/g3EZIiIiqid6WRUMR676gZyaX6BzivEjYxZYLehB1KzY3RIRFcCgTEWM6hg5ffoR+nDOOXN/fO0Pl1x1pd/vEzNs357dAM32HTtEXSeM6FOeeGI1Bn2KLhQOr137qvgrBnxK/uFgmE0sE4OIAWFR4oP4t6dnr5jNCBP1j4gpGFnz7HP4yPquN4cMJGH5mE3MrC8hi758fQPER7CWnJtEREREVeaZNGbkvNkykcdhl58jxyzbveK5t85cKobQm1vkVKKmwO6WiKgwNvSrzMaN7y+7404xfu45c885Z64YN9q+Y4dWRiYkQxu33nJjR8dIMY7PiijG9OlHfGPhRb9b/qBIgnFpoXD44YcfWbv2FZHU+f0+zDPncwf9SGXcpPPPP2/9+uxACda1ePG/+30yVARPPLH68Sdk0Ur8Cevq6ekRSWHOnNPPn3+eTBis73rTPHPOrfr2pZeJEewXNuB3y/9L/9SSq67EFDF+KGNDv1awoV8i5djQrxUN1NDvidFH5VhG94PPbVp0t0yYOIcHPvner/CvTLe07Lh55fabVsoEFW3G0ze1n6LVNup78a23zrxOTCyPfgab+1y0N1RDvwPB4JJrb9y8ZatMZ3TOPGbZLdfLRHWxoV8i5djQb4OZOGGCMUKx5tnn5JhBT8/em2/5D2P0pKOjQ4xs37Hj2muXmiMyEAppwZrfLf8vmTbBX7MiMoApN9/803zlX+699zdZQRZYs+a5e3/1G5kYhPXmnFls1cOrcndKtb7rzWV33Gn8lL6nREREVFsjzp1tjLlkGX3R6QX+SkTCz++6Nysic/iUyTdcc7VMEBExKFN9J554ghxr0SoxyTGDnp6eUCjs9/vmzDn93HPm4t8JE8eLPy1f/l96KZvp04/AXzEYF7h27Svru96UCZOJEyeIZc6adayclFndw3l68gZ9LcY2cdavf9PYhxTWqMeJMNuPf/zDX//qniVXXal/ZM2a3PWSxO53dHToO6KXGyIiIqLacg4PjDg3bw2mIesueSaNwTxHrvrhseuWnRh9VAwznr5p8u0Xm5sEHn3R6fiTGIxtDGNmMREjSOKDGNEXeNyuB5EsJjakL1z0cNR+ysxp912Oj4uFYFxfadYqMDLxugvEn8ywNOygmBPDpzb+CovCwuWfTbCpYk/FqsUgislkybTXk+OACMbDJScVQew1PiI2FSPYU/O5IIXY3RIRFYNBmWrr6BiplwfZYWosRjj3nLn/646fnz//vHPOmYt/J07Qohtr176qB3HmzDl9yVVX4q8YvrHw6xgX0yFfhGXx4n//8bU/FMtcfOm///jHP5R/aGnp6uqSYwf7X//r5/patM+ef6DW0nrDR54YrO6E/brqqivF1moVoy79dzEdcpYJ8vt92Kpbb7lB3xH5ByIiIqqdRG9QjIycd7wYyaL3taTPmcU5PIBsP/L8I+fNNsYU2k+Zcdjl5+BPWQ3WeCePwZ/E4Bh2IL+Kz+rTJ153AT6Ij+sLxFqQPOavQ9dk0ReCzx656ocznr5x9GBJHxEowUKwR1jFseuWGVeBkQk/vgA7IpI6TMec0+673LgjWEImXHKjeX7AQfvkeyJqM0OsugAcBH2bjQdEMB4uOakgrE7fa/ERbCpGsKfYC0wUs5Fa7G6JiIrEoEwN6OVB9GIvRtMzDQPLhIEe1+jo6Mhq1QUf0cvL9GhyFEsxNhwDEydM0D+CzTDXbIKsj8z53Ol6OGn9elkeB+vSQ0WzZh1r/Ah2Uy8sk7NMEBY4q/NAmR0iIiKqB/seXydGRs7LXYNJ72hp5z1PiJEsid5gsKtQe72H/+flcqw4IjgiEwfDn4oPKxx2+Tk5GzDGbh67bhlWkXN/8SljiRLMc8xfb9QDN2aYP6t8TXumGZScC6+CI1f9UN9rnJcdN6/sflC+VWKTpt13uXHvSAl2t0RExWNQpmHocY3puZrCPdIw0dxbU07GSkxlf6TnoBZhRm4c7FlJDPIPmcZr5BgRERHVN2NIxRzvQDZenxjZuluMmCHnv/XqB946c+lrYy9a6/kyhjdnL9EXi4UUCGrkhK366O4n3pv/U9FJkx5WgJIWFd22W2wYBmyknJrZJOMq8K8xrhToPFC6YbKhzhTm13dw06K79aJDE358gTHSMe0+2csBYKX/mH6p+AiGwtEr6/TSMYCDhrOw/aaV2FSMiIlQoIoWlYHdLRFRSRiUqYHwYMO6esGTIRmDJqNyNbxibI1lR65iKWbGUi3hXGV2zMwfMUZbHn74kWV33GkcchaQISIionoW6JyihzzMQRl9yt7H1kW3dYtxM/z1o7uf6Htxgx6nEGU0xDiYa+UUgM++NvairVc/gMVimRiMEZDigzLYr39Mv1RsGIbtN63EAuXfWlreOPJSfRX4d/O37pF/MKxC1FES45gH8+ubgYUbd1AvT4T59QANZsBKo9sOBLOS+0NyrDL0OmjYTmN3Wjik+r4XaDyISjUQDF5/6+34V6YzOmce870rFssEEdHBGJSptlA4rIcqjJGUwooMmhARERFZp2fXA51Tsuq2HDbYxO/exw60+l+kRG+ZAYickYvQmwd1alMMYzRECL15oKCKHl4RcpZhMdZ++uju7Npbxil6i7/GpnnMH6k0fYP1Wmk6fd+dwwOswaQKu1siolIxKFNtxg6tjbWBCiu+TA1MMPSUVICx9E3OKlFmhT9y/vnnLbnqynyDnImIiIjqXnTbbj0uo0dhADl8kXtP9AaNFYhyCnROmXjdBZkmZmVXQZNv/6b8W8MyBi/6Xtwgxwz6XnxLjPiPlTWe9KpP+FNW3KfSjFvbfsoM/USIwVgMikEZJdjdEhGVgUGZqurp2av3VQSzOjvl2FA6Okb6/bLqUM5Or40TiyyAY6x5VGTQR/+IPr8xNOP3+ZHMN8iZiIiIqBHoBWGMZUNGX/Q5MVI4IuPMdPcjms7Fx9sHuwoqvp5R3Sp+F/R2Z2oY7zCuGuP6iRADAzFqsbslIioPgzLVs77rzZtv+Q+9x6Vzz5lbfPUl0OMa27fvyGo3NxQO6wVwOjo6RKfUhWEJeg9KWHIxW/LEE6v1jf/MibIgrrFUzppnn8OWyAQRERE1Mr22C7LuIhKBET1AU7gajojFiPFg1xbMvOPmlRiGLFzTTKpcKGZI0W27+158K9+Q3F9fW6tW14a3z/jCBZUe2N0SEZWHQZmKeG/j+088sVoffrf8v6659vp77/2NHtSYnqff6wLmfO5AEdN7f/UbLHZjpoejtWtfvfnmnxpjPWIki17zSJTWwRJEEob8CEawC48PlvHx+32fmyM3xu/z6V1rb9++A1uy5tnnxIaJQayLwRoiMhrVMfKLc88SQ87Gy2tC36SjjjhcTiI6hCV6g1k1mPSWa5GHNzfOYmRod2bdm7OXbL36ge03aQ3c7l7R8EEZY5WlnCVNPJNGixG9yRu9bRq9QlPVGE9T94PPvXXmdfmGnA3okBXsbomIisSgTEVs3Pj+40+s1oe1a18xdh09Z87pixf/u0wUbfr0I/ToSSgUxmJFD0e/W/6gvvATTzzhxMEyLFkefviRb196GYZrrl2Kz+pBnG8svChf3aKbb/6p+AhG9JI4fr/vqquuNHbDdP755+lVq7AlWX0wYV3r179ZZIdQRIey8YeNm/2pTvPQOeNo/Mnjdsv5mgJ2Z/xhY8VQP7umb1J7W6ucRHRo02swid559CZIdq94VozkpDdwC9Vv17bSjMELPUqlw77rkRp9Tr2PKufwgPHgFMk53C/HShfdtlsvsMMulqqJ3S0RUfEYlKkev18rVLLkqivPn3+eMahRvHPOmWuMgBhh4rnnzP3Gwq/LdBE6OjoWL/73fEGcnKZPP+Kqq67Mqh6FffnxtT/KF9kRNh5c34qIzMYfNva4T3aah8+ecNwX535+0UVfXXDBl2d/qrPJojNEVM/0GkzO4YFp910uwg3FNPGr09u4FYadOkOONaw+Q2O94y47xxhkwfExtmSsB6SM3VQdueoHxlZpMg0ny5I1RsYSLhN+fIHePA1WhxOBKSJZDP0kYr34rL4oHTbbPJGsYHdLRFQSWzqdlqPl+ldPbzgWl4lDWE/PXmPPSkYTJk7o6BhZuKmXtWtfFQVeOjo6CgdKQuFw1/o313d1idIumP/I6Ud0zjrWHOjZuPH9ZXfcKcYnTpzgy8zg9/uwJdikWZ05+n56IlO0R4zrcRasYlTHSKyi8C5s37EDG4Z/9WI4WCm2CssxhmywCjGSNZ10PrfrYx3DZaK57Nzd/dc1z8uEwUknHKeqGbwPP9r559V/lYmGMvtTWghGJvKLxmJrXnx5y7btMt2Yxh827otzPy/Gcb5w1sR4bf3PSxaIkdfe6Fr3jy4xToCThVMmE83lqTXP79otSzHocDvCTUkmLHvrzKU5++ipQydGHxUjfS++9daZ14nxI1f90NjQL3x09xNbr35AjLefMnPG0zeK8R03axWUxPhxux7U8/ndDz4X3bbbf+yU9lNmGDP/mIj5RXxn4nUX6IEG4xGb8fRN+BRGjJukK/xXI33XjBspGFe91vNlMaLL+cHRF50+7b7LxTgEu7aIHrvFxgjGowTHrltmjMWIj/iPnWw8IFl7YTyGBRi3OefWeiaNwdqzViTH8FqY2QZsagOVaTJedUXq2vD2kmtvkIkKaw0Elt2ylI37ElHxGJRpZsagzJKrriwmAmIMyvz6V/eIEaqyJg7KwM/vuhe5IJkYpPANpjmCMu++v7l/YECMu93u8ePGZjW8subFlzGPTDQgBmUaSxMHZTZv2brk2hsHgtlNnH7visWqGoNo9KBMVgAC/jH9Ur0cR76gjDHSYRTs2uIcHtAr+HQ/+NymRXdjpLGCMjD59ouNPYVn0fdLh70+dt0yfcdzytqLfMcw0RsMvblVDwANGZQBnERscIEQj3mD61kZQRkionrG6ktEVFU5szrIESFfhNyRTB/y3n1/87p/aHEBDH975bWVf35ixcpHjaVj5pxyUoFMcqbFlnFiqFV1J30brLTjq+9FW2tRjbzo8xe/1/pHMMhJBYn9Kumoio/UT3vGZHT4lMnLblnaGsjOrOYMHx+a9MovQt9QTfwK229aufXqB4xzYnzHzSvf/vzS9+bftvexdaIGUDGLqk/Yu7fOXKo3hKzDFEw3Bziwv2/OXoIjoFd9Auz+e/N/ikMq0wfDMcwqvSKO4RtHXlpqmK/7weewdvxrXLsu2LVFb/6GiIiqjyVlmhlLyjSo5i4pI1SuvExzlJTJV3hkzikn6R0DffjRrj+vfkqM65D575xx9JRJE2U6Y0/P3nVvdBljOphh7hmyfcq/vfJa11vviHFh0UVf1YMO+NTqZw5qPMK4Dfc9+IdoLPbFuWeNP2wskmKT8FdsgzEGgQ1Y89Lf8a9MD1VSpq21FUcDG2mMffQPDIhYlUwPwmxTJ30cG5AVuBHzd214B1soJxlgI486YprYbDNzSZmcm4SDgwNr3C8wFrfB2j97wnH64cKRbNB6Z01cUkaoaHmZBiopUwmBzimOYYHQm1tyhgOagHN4wH+srJdU5IkWxyS5P1hMKERffnTbbiUxLM+kMXqBHVXLrDKWlCGiJsOSMkRUAywvU541L76sV2saf1h2nSbRJHBWRAYw29wzTp9zykky3dLyr492ybFMfESOZWBmY9zhY6awhR7I2LJte1a8o70t8MW5Z2FFWRuGJDbMuNgCjjri8Au+dA7+zZq/rbX1uE92XvDFc7Kmd844BjObi9KI+c8ejD3p8HFxNPJFZMzybRIONbYH02X6YKNGjrzogi8b/9o/0JyZ0ibA8jKVE+za0vfihmaNyAB2DTsoBjlpKOKYFFk4RV++qugJliMWqHCZRERkBYMyRFQbjMuUp2vDgVItUw3xl84ZR2OQiUyhFQzGQhxHZQqwiPFoLIa/ivFRHSPEiGBcJnjcbmO8A+N60lyWB3/KF+nAcvIFL4xGdYycc8pJeuwD2y92RCRBzCATGVu2/bcY6R8YEDPrcSvA9mRFnfBxY9xKX0VWgRedcZNw3P72ymt/Xv3X197o0gNSnz3huKxgjaAXq9G3Kt8qqB4wLkNEREQ1wepLzczYIdSJJ57QUUSLBhs3vq93X33OOXPFCFVZGdWX8vVqVP8effxJc5UBK/WYmrv6EozqGHnBF2Xrku++v3nNiy9jBJn/iy74sggBIPO/+pnn9fy/saJQNBZ7cOWjIppgXN2KlY/qgQy9LhJmEws0NircOePozw72SqN/Sv8IbNm2/Z33N/3ro11iLUcdcbgeQ9G3FvJVXzIuyljZp6219Uv/4/N6PMj4EUxsb2vNOlzG7TTWRTKuF4cIB8oYwcnZ0O/cM04XQRzsEdab88Aaq4DpCwFM7NrwjnEVDQp7mhXbGtJTuXo1qn+bt257+ZXXZMLASj2mQ7z6EpFyrL5ERE2GQRmiulNGUKaafT1WR9lxmaYPyoCe7f9wsFkZYwzC/FnjkvVIhzG4o0/0uN2LLvqqmPjaG13iU8Zgih6h2NOzd+WfZQuUWW3KiIm6BRd8WQRTjH/NGZQxbpIxLCIYP9L11jt/y5VzNiocYQFjKEowf8R4QIzHQci5a/pCitnIRlFGUAZ3JNyXZKIplB2XYVCGSC0GZYioybD6EhHVI9ZjKsmUSR8XI1GtXlJ2NOcDQ+OyowdLzO3p2SsKs4Ce39ZbkPnQUGlIL7oC+gx62Zkh9fUX25aEseaUcZsF7Je+waNGDl3uLyc9IrNl2/ZiCrCMMhQw/GCwnpRO37WsKmBCbHBrqTmwHhMRERFVAoMyRESNSs/2t7fJhjD29OwTI0Z6jRv42LgD5R30ykF6jEOPzvxr5049uNPW2irqMeGvYgTMQRPr9NpJYNxmnb53xjgRHHXE4XPPOH3BBV/+n5cs0Af5NwNjhGXP3qKadxk18kC0BaswLh+Dvhn6YaHm9ubB/ZQRERERWcegTKWEwmE5Rrnw+FBhSrrHbkrGWiR6ZMEYziieHnbRgwt6WRVRTEaPjIgCMvps/QMDlWgnpby9EP09TZk0cciPlxE68XgYbSHprDmnfe+KxTJBREREpAjblKmIUDh8xx13zuo8lm3l5vTEE6vXd7151VVX+n0+OYkMDqmGfl9+9XVzHSU29FugTZk5p5ykd2OktwWz6KKvioiDsXETo/85WHLE2DBKW2vrggu+LMaxxr7+AZGMxmL3PfgHjHz2hONEh02ieRS97Zis1lIKtymT86/jc7UpY2zw5X/fv0KMGOmL6h8YWLHyUYwYDxoOxQfb/lvvdlpfvt5AjHGl5jZrQD9K+l+Ny8ehKxCK0pdmXkgTKKNNmQZt6DcYCj3y2GqZMLASkTmU25RxDg80cWfYtcKjyjZliKjJMCijnojIhELhH//4h7UKOvT07O3p6Zk+/QiZrjUckx3bd0yYOEEcECRvvvmnfr+PcZmcygjKNChk235+170yMchiGZnmDsqM6hiJ7LGIv+ihE9CjFcaJugIN6GK6qNTzt1dew2dFT0lbtm1f/cxzGJkyaeLcM07HyIcf7Xrymef0Jm9X/vkJY/UiVUEZ4xHIWoVgjj3p229edc7giD4x56aaP6IfATD2BlUAgzKNK19TVhbLyByyQZnRF50++faL3zjyUsZlFGo/ZeaRq37w9ueXBru2yEmHHgZliKjJMCij3sOrHlm79pWrrrpy4oQJclLVPfHE6sefWP3rX90j07W2ceP7y+64c8lVV+pxou07dtxxx50nnnjC+fPPE1NId4gEZSoRkYEmDsqM6hg594zT9Eo6fzN0w2z87BpDD9aCsXBNVrBDLwuzZdv2aCwmZtOX4DH0PbT6medEeEIvpaJTFZQxTjSW6BGMvWvr+14gApLzT3p/SWCO+5g/YixMpMeqCmNQpkFVKCIDh2ZQZvRFp0+77/KtVz/w0d2ym7a64hwe8B87JfTmlkYMGB256oftp8w4lOMyZQRl8NX+5X3LZaLCxo0dw6qORFQSBmUUE9GH888/b87n5I+rNbF27at/X/vKkquulOlaMwdlYM2zzz388CNZEwkOhaBMhSIy0BxBmb+98tqevQea7B01csSUSR8XoQ0hK0BgjB1EYzF8XI+qdM48Wl+sOWiix0H6Bwbcbrcoh2LsK1ovirKnZ68YMff0rCooA8agyWtvdHVteAe7g/Gjjjj8syccpxcRenDlo2K6XnYGm4fliIlYwtHTD9f32rjBxoOMmde8+LIo/DJl0sSpkz6uh66M8RR9+wEzr3ujyxjKwY7g7OjRMWBQphFVLiIDh2BQxjNpzLHrlu17fN2mRXfLSXVG5Oob9NQ4hweO+asWknhz9hIx5VBTRlCma8PbS669QSYqr56boPrwhTcwyAQRqTB76cVyrFwMyii27I478W91oiH1FnkpIGdQBm6+5ac+n68hdqGamj4oU7mIDDRHUKawLdu2r3nxZRGA0HXOOPqzJxwnE7lgfhyZrLIhoAcRhKyCMHpRGp0xhiIoDMqMMtS0ysdYFMhYCAg7uKdnX3tbQA/r6LDXK/+s/VzvcbuxXhFdKsAYTylmk4y7wKBMw6loRAYOwaDMjKdv8kwa/ebsJXVbDiXQOWXy7RdvvfqBBi1sgu0/dt2yHTev3H7TSjnpUFL/QRnA3QP3EJmoJ+tufGDdTb+VCSJS4bL4S3KsXOx9SaWenr0bN77/mRNPkOkK6+npwepkojHN+dzp2AUcN5mmQ0BFIzJNb0/P3tXPPIchKyIDXW+989obeUMA/QMDOSMyIIqK6LL6us6Kv2C9WVPUEjto3jsB040RGVj3jy59Zo/bPf6wsSIig+UYS6/oMPPqZ57PeRz0wkFZCm+SYOw5mxpLpSMyhyBkmNtPmbFp0T31XDMo2LXlrTOvKykiE+icMuPpm/CvTFdY4dVhyz+6+4lxl53jHB6Qk6jO4FWna8PbMkFEVJDjJz/5iRwtV384kkimZOLQtvaVV7Zs2bpo0TdlOpeenr07duzAvx0dHXJSfmJmn9/vcrnkJIONG9/HcG7pHTxt37Fj185doXB4WHu7nFSQmD/fZghinnz7helr1776mRNPyPrrxIkTnnhidceokVOnVOktpyG4HI42v1cmmgvyP6//o6tz5jFZw6KF/6YqIoOstTHT3kDaWls9bk//QNA8vLdpM3bqb6+8/o83N/Tu75MfMPnwo13avttaAn6fXtNn+45/4VNrXvw7vvJitiwOh8O43rfe3WgMT4TDkbFjRut/3bRlK9Yi/zZoVMfIZDKFv+7Zu/e/d/xLTh2U868ej3vEsGFimVv+e7tx27CD2AZM8ftw15ENgWOlb771zrMv/n1X9x4xRYjFYpjZ4XSIXcaW/+ujXdjfF/7+KtaFZCwWj8bi+JS+avER/Al73d6mRXAwjoXjEOl7+uFHO43Vx/RNcjic2HKnwyGm7+nZu29/H87O+x9sxWLFxPGHjcu5kIZ21BGHi2PVfF77R1drwJ91R/rM8cctWvBvcg7Luh98Lrptt0wcAiZed4FzeGDr1Q/IdLPwHTkBu7bn4ZerczaHXF34vQ/Hf+/L+Df0ZnZIsel5Jo0Zs6C0VgJ27e7+67MvyES1/P3V14/7VOfIEfVV9lmrvvTiepkgIhVYfam+LLvjTmQhFl/67zJ9sI0b33941SPbt++Q6ZYWrZnb88/L6n7o25dedu45czs6Oh5/YnVPT4+YOGvWsefP/0rHYJF70Y6vGDfS6wfla+h3zbPPrVnzvL5YbO2cz51u7rdbbMPn5pz+8MOPdHV1hUIyv2Te4O07dixf/l/GnQLzbNj3nNWX4N5f/QbLZw0mo0On96VKQE74z41ZfYmobjV9mzIVdahVXzpu14M7bl45ZPu+7afMTO4PDllWBdlvDMXPGd222xjFKP7jOmwY/jW3ASyqzAx5Nktao1hXzgUWs7oZT9+EjXxv/k9l+pAhDo5MFGcgGNy8ZZtMVMyjj69++eA21w6fMnnZLUtbA3VUoInVl4iUs159iUEZlf6/q76XM8YBa9e++rvlD4pIh4hWYMrDq/7Y0dGR1S30ty+9DP9OnDgBi+qcdSz+JKI5xj62ezI9Xv997atrD25TRu9zOmdQ5nfL/6urq+v8+V858cTjkQyFw8+ueQ6znXjiCd9Y+HUxj4BtmD79iB07dnR2ds6adeyszmMxcX3Xm8uXP4gpxpm379iBzZs4YYIebRH7NWHCBOOGFQjKYFPXPPvc/7rj5zJNDMpYw6AMkXIMylhxSAVlRG75zdlLzCGJidddMOHHF/xj+qUYGX2RLOYQ3bb7o7ufyBnBwaKm3XeZZ9IYkcSc782/LWuxJ0Yf3XHzyv0vvKXPiRlE87dITrvv8vZTZmRm1GAtevmdnCGPwy4/B1uoVwjS15gvBJDVpMuQG6yvNLk/iBWNnDdbTE/0Bnfe84S+qCJXB9jgybdfvNYjW3k/dOQ7RDWXszpk58xjlt1yvUzUAQZliJRjmzL1JRQKT5iYoxvsnp69v1v+4DcWXnTOOXP1+MuJJx7/42t/1NPT84SpzMusWcf++NofYgYx8/TpR1yVCXA8/PAjmb+3dHSMxETRViVG9EFfuNnata92dXVhOSIiA5gZ27N48b+vXfvK+q43xURdOBzGzN9Y+HURkQGMnD//K5hZJIWJE7TgEVYt05n9wmI3Ft1SDI6YXhKHiIiIGlegU6uIao7I6D618VeJ3uCbs5es9Xz5tbEXdT/43OTbLz7s8uy2tEfOm41cN/6KeTDnP6ZfGuzaesxfb9RDHjrkz49c9YPtN60Uc779+aWY6BwewMej23bjg5iI4b35P9372DrxkZxERGbzt+4W8+ODH939hNiR0Jtb3jpzqQjo4F+Mi2H3igNd4BW/wVgRpmPb9IOw4+aVWLUeqCpmdQJWgX+r1swNDak1ELjhmquzysV0bXjb3JQeEZERgzLKbN+hVeHJGRZ5/InVHR0dejRE19Ex8sQTT8gKc8DECdmRHSx2zpzTMGe+ViGGhG3o7Ow0L3lW57ETJ04wb4M23TRz5ywtQLNxqNaFxQf1SlKFiSMmjh4RERE1LufwQIGIDLw5e8nWwT6PEr3B7TetRHLy7RcbgxdYyOH/ebkoGCLqEEW37d78rbuT+4MTr7tAzKPzHzv57c8v7X7wOTGn+HfEuVohlE2L7sYHtZlaWvY+tq5weaXDLj8HW6IHbvBBvfwOlonPiggI/sW4GPSFl7TB8MaRlxoPAlaE7R+z4HPir0OuThd6U1uCYxjb+q0j48aMXnaLFhk0emrN8xhkgojIhEEZZcL5i3t0dXV9xhSREWZ1HhsKhYcMc4AojbLj4NZbirRda1q4p8A2rF+fXVImpwIlcSwqcPSIiIioIfiPnZLcH5KJXMwhm4/ufiLRGzQWlhEhlayqOpin+8HnxJ+MMNG8TO/kMdFt3TJRHI/WHk1pH9GVtMFif2Vi0N7HXjXWtCqSWI4onUT14/Apk819t7EzJiIqgEGZiguFw6FQ2FjBx0hML6aciCh+Ukz4xkzUJLK+DURERET56A2ylKTvxbeMdXBGzjt+3+M5qhrtf+EtLD9rFcn92QEOwJztp8woqV4PtsFci6pIJW1wToneQpGswso75lRRZ8057bx52U1MXn/r7ebe94mIgEEZZXJ2BQ3FlG2pdDmRim7D2rWv3vur3/x/V33v25deJoZld9wp/1a0nG3xEBERUdMLvbnFWE7EM2k0/m0/ZWbWIIqE+I8dOtTS9+KG7gefO+avN07M9M8tpxa09eoHsA0znr4JK5KTimZ9g6n5LL5k4UknHCcTGQPB4M/uvBf/yjQR0SAGZZQR/VUfauVNbr7lpw+v+uOszs6rrrry17+6Rwwl9W8tjljlKkYRERFRdZjbPSlDoHPK6ItOn/H0jVnD5NsvlnMUYdOiu3fcvHLcZed88r1fFROaCQ5225RZV2mhGSUbXDZz7S2qE9+7YvHhUw6qXLZ5y9brb71dJoiIBjEoo9LEiRPMXQ6JMiD5uiISDffmq1hkVLgKUmGqtiHL2rWvbt++Q/ToZG4VuEjYKhw3mSAiIqKGFd2223+sgiZOdty8UvSCZB76iu5f/KO7n3ht7EVbr35g9EWnf/K9X+ldUOeDjX/rzOv+Mf1SjMx4+sYjV/2w+JpBSja4VKJ+lpWqT1RR7IyJiIrEoIxKEyZMMLf54vf5Ojo63svTFoyYv5jKO8XPaVa4PRpMLy8ssr6ra/r0I8oOxwjr17+J4yYTRERE1LCCXVucxbWiYuSZNKbvxbdkIhMcUdijUPeDz/1j+qX498hVPzR3UG2GtW9adPebs5cEOicXWdRF7QYXT1SbEn0wUX1iZ0xEVAwGZVQ6cvoR27fvMBdImTXr2K6urpy9Wa9Z89z06UcUU3lnzbPPYTnlVfPp6Bg5ceKEv5v6vQZs1dq1r8zq1Pq6LlXIclM4OFY9PT04bjJNREREDUt05FxqR0KY31gHBwspdQlD2nr1A9Ftu4csLKPD9my/aaW576ScKrHBxRg573jslLkvJ6or7IyJiIbEoIxKnbOO9ft9a559TqYHnXOO1gD7HXfcmRWXeeKJ1Rs3vn/++efJdB741O+W/1dPT49Yjg6rw7/ru4rqzfr8+edhXViOTGdgycuXP+jz+T8353Q5qRSzZh2LZWY1o4PtufdXv5GJoeBY4YiJHSEiIqKGFt22OxP7OF6mizBy3mzPpDHdDx54d9r72KuBzikltepSjOi27pKK8BQ/f4U2eEjtp8wwljCiusXOmIioMAZlVPL7fHM+d/rata9kBV8w/aqrrgyFwtdeu/ThVY888cRqDDff8tM1zz63ePG/m6v//H3tq79b/l9iNsyPT3V1dS2+NHtOJKdPP+Lee38jZsacBbo9wpzfWHgRlnPNtdfrS7755p/29OxdvPhb5RXAOfHEEyZOnHDHHXfqO4WFP/zwI9hZv9+HiWvXvipnzUUU0sERK2/tREREVG+6H3xu9EWnFxnOaD9l5uH/eTk+Yiwps+/xddFtu6fdd5loM0UJbFL7KTN2r8j+2SwfbP/k279pDBX1vbgh0RvMWdamEhtcYHWCCGYVv0dUW+yMiYgKcPzkJz+Ro+XqD0cSyZRMHPImTJzw7LPPhcPhGTOOkZMyhrW3n/iZE0Z1dGzZsmXnzl2YYdasYxcuvMgckXniidUTJ07w+/3bd2g1oRKJ+IknnoA5x40bK+cw+MyJJ/j9vl27dmGZLpfryCOPmDpFvhBgXVlt92Kxx33605j/rbfewZIxPz7+tX/7KrZNzjHIlgni5OzkO/On6VgIxrGETx/3/2B848b3M5W2bFjgNxZ+HQvE7u/YsSOeSAweBxtm0z8o/OnPj2GeRYsuxnLkJMpwORxtfq9MUIn6BwbefX+zTBCRCkcdcXh7W6tMUImQsUeOXSYOAaE3t4791lk2W0tWIY5hp2q9RONf7+Qx+BfDxOu+OvG6C3pWvbz16gdSkbicr6UF4/jsqPM/O/57X86af/LtF//r9j/J+fBic90FmNNcWmTG0zcddvk5viMntB0/HR/Ep8b9+1mbFt2tz+mZNGbMgtP1U4MNO3bdsrbjj/QfNR7zj1nwuSl3fzu5P/j+RXcYN8zhcxs3CYvt/et6zFbkBmet1Ej8acfNK2U6I9/qxF+n3nNpdFt31kcOEeJwyUTjOO5Tna/9o2tfb69Mt7Rg/J333j9rzmkyXRUfvvDGhy+ulwkiUmH2Uqt97dnS6bQcLde/enrDsQNPLFqrlXN5cMlVV2bFRIr07UsvO/ecuVk1lZrPxo3vL7vjzm8svOjEE0so5HyI8LldH+sYLhNUog8/2vnn1X+VCSJS4YtzPz/+sHEyQSV668yllet/pz5NvO6CcZed8+bsJcboAyZO+PEFO25eqVfzCXZt2fvYugIHZ/RFpwc6p4jiJ4neYOhNbX5jmRosc/8Lb5mXkIn+zPAfO8U5PIAPYgZ80LgxIle/e4WMjyDZfsoMfV1YhfhIZt6DjJw3e+S84zG/2J6P7n4CI/JvQ21w1kqNxJ+235QdYcm3Okw/ctUPD8FLS8D5nfH0jTLRUHbu7r70uz/IKh1z1pzTzI3OVM66Gx9Yd9NvZYKIVLgs/pIcKxeDMhXxu+X/1dXVddVVV5bRM9GhEJTZvmPHHXfc2dnZ+Y2FX5eTyIBBGSsYlCFSjkEZKw7BnLNzeOCYv96Y3B9668zr5KTBoMxaz5dlmsqFw/vJ93617/F1mxbdLScdYho3KAObt2z99nd/IBODvnfF4qqVl2FQhkg560EZtilTEd9Y+PWOjo7CLaocynBkcHwYkSEiImo+id7g5m/d4z928rT7LpeTSBER8Ipu27316gfkJGoo7IyJiMwYlKmUq6668vz5Q3SrdMjCkcHxkQkiIiJqLsGuLZu/dfeIc7XGaOUkUqH9lBk4pO/Nv81YbYoaCztjIqIsDMpUCnsUKozHh4iIqIntfWzdG0deam4/hazgUW0O7IyJiIwYlKk7v/7VPU3fyi8RERE1PZbmqAQe1ebwvSsWHz5lskxkbN6y9fpbb5cJIjqUMChDRERERJW1/aaVbOWXSNcaCNxwzdX4V6Yzuja8/fO77pUJIjpkMChDRERERERUVePGjF52y1KZGPTUmucxyAQRHRoYlCEiIiIiIqo2dsZERMCgDBERERERUQ2wMyYiYlCGiIiIiIioNtgZE9EhjkEZIiIiIiKimim+MyY2BkzUfBiUISIiIiIiqpmSOmNiY8BETYZBGSIiIiIioloqsjOmnbt24182BkzUTBiUISIiIiIiqrFiOmPatbtbjLAxYKKmwaAMERERERFR7RXfGRMbAyZqGgzKEBERERER1YXCnTFt3rpNTITNW7ay0V+iJsCgDBERERERUb0o0BnTwMBBRWMOnzxJjpFqozqPmL304i89c5cYzrj/GiTFgCT+KudrdvoROHnZFXISqcagDBERERERUb0oqTMmqoSTl13x1dcfmH3dN8ef+kkxHLXgbCTFkJkyS87a7PQjMKpzmpxEqjEoQ0REREREVEfydcaU1elS4ODATSNqnzROlD35VveTl8VfEsPCTavmPnJr5xXzPcNb5XxVdPSCs7Fqmchj9CFTUoaqwJZOp+Vouf7V0xuOxWWCiCzzuV0f6xguE1SiDz/a+efVf5UJIlLhi3M/P/6wcTJBJXrrzKV9L26QCSKyrP2UmTOevlEmmt1Ta54vXDpm2S3Xd848RiaKsO7GB9bd9FuZqDXP8NaTl11x1IKzZTqXaO/Af44uNEMlLNy0qm2SfOp13bUqun9AjOv2rH9/T9f7fdt2ynTDap80rm3yYWL8wxfeECNZvvTMXWJkT9eml5bIcTK6LP6SHCsXgzJEdYdBGSsYlCFSjkEZKxiUIVKriYMyohTM2DGjx40ZLabAvfcvf+Sx1TJh0rhBmVGdRyC3P2RBmK67VlU5ENA+adyCTavEOI4VjpgYb0paEznXfVOM3+M6WYxQqeoiKBONJ1KWF0JEOrvN5nE5ZYJKFI3F9vTslQkiUmFUx0iP2y0TVKJg15bkfvZZS6SMY1gg0DlFJppLVvzl8CmTWwN+jGzesi1f19f/9Z/3GCM4Q6qToIxneOuC91cZIzLvrnjyg7+8pJdJ8QxrHTXriKnzPvvMJf+xp+t9MbE6xp/6Sb1syJ/OuCJf+ZHmwKCMEnURlCEiIiIiIiKLrv+P219+5TWZKMIzf1kpx4pTJ0GZM+6/Rq+1tKfr/dXnXVNSVSDP8Nap80421rvJGTrJWTdHtFkrxj/4y0vGiI+Yf1TnNL2boZeW3LWna5MYzxLtHTBHi7AELFysNNrb/+EL6/NFlPRt6N/6Uda+Y+/0rp3wcaxIjGOiCGPpq8aUqV/QIik5d0RfRc7KVmJpRy84Wz8RfzrjQOdKxq3Sl5NzlwGrm/KFkz3D2zBeYK9LPR1G2Nrxp84SqxDbVlfBMgZliIiIiIiImsFAMLjk2hs3b9kq00NpxKAMMud6/aD+bTv/8Olv6nGHIXnyNEODJay76YGuu+RihaxiIEh2Xp7dcrCxepRx/iF9+MIbxigGFjv7uouHbB5YL3qjZ+PNNaTG5ymqg4kifoEpay65dc791+jhDH0h2IWjF5ytN4hjhE+9tORuPeqhLy0n41bpm5q1yzCq84iTl11uXg5O6zOX3KpvuVDq6RCwijPu/xH+lelBOOPYmHxBnCqzHpRh70tERERERES1l7Mz7HwOnzJZjjWUoxbOlWOZIFHxERnkzBe8vypnw8AiWHPG/dfItMnCTatmX/fNrBAAdF4x/+iCLQ0X6UvP3DVkREaV9smHXfD6b42hkP6tH4mRUZ3TckZkAPP/j0duNR+BsuG4ffX1B3JGdrANOCAFDmyRpwNnHMsxR2QAn62TiIwSDMoQERERERHVhZydYeckWpxpOONPmSXHWlo+eKyEIgZn3P8jPRv/4QtvaKU5bvrtuyueFFPgqAVnT52Xu2EUEaroz1R7wYARMR30KM+7y1f/6YwrjCU1MI4pxkH+4WCzl14sAgei+MY9rpMxrJg23xg1EFurR0+swL7gOGBdXXetwjLxb/dgHastf9GOJ3YQh0U/PnrYCx8cf4qMoYgZjIVZxPxiME7PqX3SuM8OVvICfXXGD2IGzCYTByvmdMDspQcCN/oqMOCyKenKqX+svkRERERERFRHXn7lNVGJafPWbQMDWiu/om8mo86Zxyy75XqZKE49VF/6VveTIqeN3Hi+MIfZ0QvOnjNYECarkst4Q30fZO+XT5MlVoz1ZfCRrrse1ttJwQZ89fXfitBA9OBet41Lw+ZlhSdy1uX56usPiKAMtgorEhMBE/EnMb5i2nxjqy5Wqi+B+VOCCNbIxCDjArM+mFWlSIxkybnLxlaBVp93jTFEYlzmuyuefOaSW8V4GadDX3XWGa83rL5ERERERETUVE464bgFF87HcMOPrl52y/UYnvnLSgx//j8PiOT3rliMv8q5G4pe9qEkeuWg/m07s/LnH2YKhohxZOxzls7AR4wxEeT8P8gUKoHytsdIr1+T1SqwsaSM3satddjfnBEZMEdkQA/rqIIjdqB40YonswqtYNv0ki96FClLqadj/Kmz8hW6aQ4MyhARERERETWA1kCgc+YxGM6acxr+lVMPAXrgI2eIwThRn7Mwvftt6/RQSFbgwBiSUFJxqXjYEqxdH+RURYxHuPDpaMvUtBLjheU8HXq4B2tcsGnVGfdfk696WqNjUIaIiIiIiIiqQQ9hFBk9AeOcxhIWOuPEUbOKXawqWwZjB59ddoXeTu3UeSefvOxyMf7hC2/k3GzlPMNbz7j/mm91P7lg06ovPXOXPsg/KzKqc5ocK+Z0FH2Wzf521V3Gsj9HLTh77iO3Lty0qmptKlcNgzJERERERERUDXqlHs/w1iJz7EWWtqiVl5bcJXYK2znn/msui7+EYe4jt4q9w59WfyVvt1AKYe2id6pKHy7P8DY5VmF923auOGK+XjdNaJs07uRlV3z19Qfq/KooCYMyREREREREVA0fvrhejrW0zCquyENJdX/2rK92T8nR3oF1N+ZoPrl/2851N/32T2dcYSzuUTknL7tCj1O8tOSuFdPmi36g8rXgW7bSToe1jqtx6J655Fbsix75EkZ1HjH7uotlovExKENERERERETV8O7y1XIsUyFFr+9TQN+2nXpcY+q8z4oRI2NTI9WpKGQkCshgZE0mfPCnTOfZ/zn67OXT5q+78YHqRGRAbzvm3RVPdt21qnLHQe+BG3I28qKfI+y7kt3HvmCP/vDpi3Fg9VaE9caGmwCDMkRERERERFQNyGAbK6TMuf8aYxGPfD58UbYdO6rziKyWa/FZPX+OHLvFohllmDrvZLH97uGt2LsPX3gDQ5HBiPGnzJJjGVhO2W3Zii6lobxwzJCnQIcjrO+dubYUzo5eK01vbUcVHNh3Bi+e4je4/jEoQ0RERERERFWSVRWl84r53+p+8kvP3DV76cX6cMb91xibdO26a5UYgbl/vBUziH6Fjl5w9ldf/62eP8/XV3RF6d1dn7zsCtGgjD5gpzDR3J2z3j8RdmHuI9ruYMDIgvfLb8VWL0LSefl8EbfCenF8jA39juqcZoxlGKt6zbn/GnFIxcGXU/PoulueDiwNxx9r0T+LsyP+BBZPhzgsU+edLBaOAQcTeyf+Wv3oW+XY0um0HCUiIiIiIqImhUzyuptytH5Sfe2TxulN4RbwwWMvrT5PBgi0LPp13xTjOb274slnLjkQETDOb25XJd9fkfPXoxh/OuMKPXoiXBaXRT8wHX8V49iXBZsOxIzMor0DmNkYRBhyXwTjBmCrsG0YMa7aqMhlgr6/nkzbwDmLnKyYNl+UuMm5y6BvTz5rLrlVL9UCZZyOb3U/mXPbBFwYep/ZtaUforKxpAwRERERERFVDzL8f/j0xetu+m3haj7jTzmQ7V934wMvLTmoj2QdJmJRxohMNYkqSzKRi2d46/945KBt67rr4ZwFPd5d8aQehCoVlplzM7ruWmVcpnEeHLe/LcndYbZe/Cef1V+5xlh8yah/206s0RiRKQMOWr6IDDa7fiIySrCkDBERERERUfOrn5IyRqJmilazZpjMhCNXrzfOIqbokFGfOu/kKV84WcyMOTEP8ufmYI1YrBg316PJ99f2SeOOWjhXjL+7fHVW+yyzl8oef/q3fqQHHc64/5qjFpydVU4HsKmYfvIyWbrkD5++2BiIEX8VLchE9w9gL7b85SWsLt8GHL3gbBEoMa7aDAuc+oWT2yaNw5Hp7npfLBPTsVjsL5Zg/jj+hOOJv+KQiiO/Z/37H74om8XJucs68Vm9HZw9XZvE6RBJo3wHXDD/Fcdn/CmfHDXrCKxCby7nwxfXY9vqLRxjvaQMgzJERERERETNrz6DMg2tfbDukrGqkZFezSffDNToWH2JiIiIiIiIqAamfEEWEmk3teYLnuGters5zdQwLanFoAwRERERERFR+T677IqjDf1Dt2d6PtKb0X13xZPmClZEAqsvERERERERNT9WX1LOk78DI92ervf/dMYVDMo0K1ZfIiIiIiIiIqqBaKa76/6D2wM2enfFk4zIUGEsKUNERERERNT8WFKmcqbOO3nUrCPGnzJLJEW3UBiy+m+i5sPel4iIiIiIiGhoDMoQKcfqS0REREREREREDYlBGSIiIiIiIiKiGmBQhoiIiIiIiIioBhiUISIiIiIiIiKqAQZliIiIiIiIiIhqgEEZIiIiIiIiIqIaYFCGiIiIiIiIiKgGGJQhIiIiIiIiIqoBBmWIiIiIiIiIiGqAQRkiIiIiIiIiohpgUIaIiIiIiIiIqAYYlCEiIiIiIiIiqgEGZYiIiIiIiIiIaoBBGSIiIiIiIiKiGmBQhoiIiIiIiIioBhiUISIiIiIiIiKqAQZliIiIiIiIiIhqgEEZIiIiIiIiIqIaYFCGiIiIiIiIiKgGGJQhIiIiIiIiIqoBBmWIiIiIiIiIiGqAQRkiIiIiIiIiohpgUIaIiIiIiIiIqAYYlCEiIiIiIiIiqgEGZYiIiIiIiIiIaoBBGSIiIiIiIiKiGmBQhoioIaVbWpKpVCyeCEfjoWhMH5CMJhIJ/C2tkXMTEREREVH9YVCGiKjBJFPpWCIZjcWj8UQilUpr8ZkDkEwmU7FEAn+NJZMJzC3/QkRERERE9cXG31GJiBoF7teJRFILxBR967bZWhw2u8vpsGGMiIiIDmF923b2b/1IJohIhfGnflKOlYtBGSKixoCbdSwWT5Z703a7nE47S0cSEREREdURvqATETWAVDodjSfKjsgAPp1IpmSCiIiIiIjqAIMyRET1LpVOx7WWey2FVNJYSDKJpcg0ERERERHVGqsvERHVu1imNyWZsMzrdtnZvgwRER0aUumWcDwRSaRiyZTI9zjtLV6X0+d0uBx8GhJR7TEoQ0RU17SKS7FEVhdLVjjsdo/LKRNERETNCFmcWDIZjCXD+ev+uuy2No/L47Q77IzOEFHNMChDRFTXIvHEkBWXbJrMWFp7DR0yguNxufgCSkREzSqZTvdF4pFEKpka4oGIp6fH6WhzOz1OtupARLXBoAwRUf1KplLReEImcrG32LROlfBSKaIy2h09nUimEgXjOE6H3e1kYRkiImpCiVR6XzgWTZRQ7ddptw3zunwuh0wTEVURgzJERCVLKmrhRYumFGzeRetxKX94xWG3ayVeci0Bn9I6a5KpbPiI1+UsvGoiIqKGgwff3lAsHE/KdNHstpYxAa+TrcwQUdUxKENEVJpUOh2JxWXCGrfT6XTkLS8tusHOd5d22G0up7PAy2MimYon876VerDm/KsmIiJqRPsj8f5ooRKmBbgctg6/x8nqvURUXXwjJyKqU+kMmTiYzaYVkyn82uh0FGq5MG+zh0RERI0pmkgNlBuRgXgybeXjRETlYVCGiKhOFQib2FpsDvvQN3Bn/nnyhXuIiIgaER5r/dG4xWdbNKn1nC0TRERVwaAMEVGdKhA3KbI5GMxma8k9J4MyRETUTOJaI/dWH21YSKyUFoKJiKxjUIaIqPGUUN89z6yMyRARUTOJp1JKaubGkik+IomomhiUISI6JJUQ1yEiIqpr6bTWIoySYEo8mUprnTgREVUJgzJERPUqfx2lFN48i3j3xCz5ZmN/2ERE1DxsyuIojMcQUZUxKENEVKcKRE0y0RY5XkAilbdiPEMyRETUNNLptKpeBRPa7x5ynIioCmy86xARlQRva5FYXCascTudTkfe4DhWFI3l7UjCYbe7nI4CsZVkKh1L5O3a0+10OB0OmSAiImpkeFb2huPBmIIOrR0229g2r7303y6Qq4om08n8P4cUz2G3eZ18RhMdKhiUISIqTdWCMoAVYXUyYeKy2x154jKpTEQm3ydtLTav28kaTERE1BzwqNwfiQ+oCMq47LbRrR576Y9IPK/3hWJhFZ03uR22Ma1emSCiZsfqS0RE9ctRMGQTT6Xi8UQyhfdAGX7Bf5HCtFgyWSDibrfbCjRYQ0RE1FjwTHOWUbglF6fDzh8tiKiaGJQhIqpfLkehCkqQTGdCMIlkNJ6IJhIxDMlkwhCmycmhRWWIiIiah8thd6h4uLmVLIWIqGgMyhAR1TXXULXK05ki09qQ0v4dslKq3WZz2HnzJyKipuJ22B2WS7g47TYsRyaIiKqCNx0iorrmsNvVxlBcTifLZRMRUZPBoy3gtto4rttpdw1RRJWISDEGZYiI6prNZtPqt8uUJbYWm8vpYLlsIiJqSn6X0+ssP3djt9na3K4ymvglIrKCQRkionrnsNvdLqdMWOB02F3sBpuIiJqUzdYy0u8uu/5Rh9/FYjJEVH0MyhARNQCH3e5xOa38fOd0ODDIBBERUTPCg3K41+UqsUwoZsenPEM14kZEVAkMyhARNQatvIzTWUb7MnhDdTsdLq2PTzmFiIioWbmd9pF+j89VbLO/TrttuNcd8CgokUpEVAYGZYiIGobdroVXPM4Sisw4HQ63y4l/bQzJEBHRocHlsI3wuUZ4Xa6CVZnwMG3zOEcFPL5Si9YQEaljG7LzVCIiMkql05FYXCascTu1oi8yUaJEKpVIpNJaj9gtxju5zabd2PGi6bDbh+xOm4iIqInh8RhNJoPRRCyZbtHjLukWp8Pmddr9bpVtyOD1YF8oFk6kZNoCt8M2ptUrE0TU7BiUISIqTZ0EZQRsTIZMgs1uwxJZLoaIiEiH52QylRaPRjwhK1Ghl0EZIioPqy8RETUwUSLG6TgwaPWUGJEhIiIywHPRaccTUxsqEZEhIiobgzJERERERERERDXAoAwRERERERERUQ0wKENEREREREREVAMMyhARERERERER1QCDMkRERERERERENcCgDBERERERERFRDTAoQ0RERERERERUA7Z0Oi1HiagUFr87NptNjh2ScPC0/7XYUul0LJFMpNLJdDqRzH1IHXab02F32mzaiF07cvh/DQ8ftjkSi8uENW6nE7smE3QIyNw20riEcPkn0ykkUrmuelze4hJ32B3aBZ+Z1tD3DPGVF3fNeBI7bku1pDMjEr7aDpv2XXA5tP0UX3N8pkH3Grua2VdbKpWOJZM419hX3Osyf8yGmwBubm6HHbc3p/aPtu+NfLbzwjHRjgwufu2e34Ijg+ODEXGwsuAQiBs+jgy+BjhEGdoiMv+hpiVuF7g34q0glkrhRpG5TtJ4VcBfPQ776FaPmLPe4N6+LxQLJw7c2crmdtjGtHplgoiaHYMyVI8i8dxvrqXCK5wL73QypVIsmQpb2EhsUqtHe9uUaaWwbXh9kQkLsHUep0MmFMH7Ct6xEqlUTPs3HU8ho1LypuIFHcfO5bC7kIuTYZqqvqDXJCiDlSq5XeNY5bzwcNXIMRWQu5Rj1aLq+Ahqtx8bhss886/23cRWlrqpOGE2u5ZZx+0M/2T+reo1Xx7sZUILRmjBF2RSEvg3nS7mK489FV9tZMXxL74j2GWndgTkDHULu4zbGvYUu4xbMe51pd7iMvtudzlsLrsdO44bnaNBTnc+OCYiO41jEk/hEaBdDJnvQWlwDLSLAQdHuyS0ESQVXhLYoDhOWOkbZubIPJ5kQinxbZIJa/B2pEV888BxiKmILIB2DRd9NMR1Ek1oXx98lXKejQLRCnwAS1DyCoRvHy4wmTAofJ1g6kAsge2XaQuw9uFel0yUzus68P6G711S0WUDha+cSsA5xX1DJiwzHhmi+sGgDNWj3QN4oim4/+JVYJjXhTy8TKvTH03sj1jKlo8OeDxO9RuGF4U9QRw9Bd9rn8sxwueWCcvwmhWOJzOxmBRe0JXcePC+hPdyvO35nHY8ZXPGGioBB7nKQRkcrmhCe0GVaQuQ3/O4nDJhEI3jnUfdS48bWZLqvbThesIFlkgqC+biECnJBms5hMy7pHbJK3raYsOwZfbMlV/94FeRkHXE9z2SSOGiSqa14yD/UBYRo8GuIjPgcdi1chOVyfFagbtuKBbHzTezy2rONnYcGTPtFudyVvMWpwrOeyiWiia1yBTu/CpuYBKOxGDAzuZ3OZFLl3+wAGewNxyLqcj7BdxOvHvIhFL4Tu0NRWXCGjzf8ZSXCRMcB7xLyIQ1I33uYrLBOP4D0bj4wabwHaNAUAab3RvWYiYybUGbx9XmyfGsHPI6SavLW1m5z32s3SfHWlrwVmjxldWo1eNsr8zlnRMOZl80gV2QaWvwxjWmXotZ0SGOQRmqR/sjif6ogucHHmcj/YVeO8rWPRDFi6ZMlCXgVhny0CFruieEtwUF32tVYaN4Mt0b0d5gKnqzwbtLq7tKLwrYkxoEZeJxJUcwX1AmnkjGFQU1wOVwuFQXsyoADzKcEVXXF46P9WAHTlYMWYMKP2FtLTZsbDGXUNXgi46790BM2bVkhhu712VHlqkSAfcyxJLJ/kgCOUGZrhjscqtHi83IdB1Drrgf+aiYgrxxMVx2W7vXafFZj6/r3pCyoMwIX0UeRuF4sicUkwlrRvrcfnehoMzuATVBmY4iXsOCsQRe/Iq8YRYOyuAkYkEybQFeJ9rzBGVUXScVNWHYgaAMtrYniH/UPI9sNtvH2r1VCxHjqtB+qc1Tvb1UuFFUM6JEVLw6epMj0nmddiU/U+MWrj2FVOeL8GywGJEBvFpVIr8WS6opuIsTYDHDg+MuXh93DUS0ojsV2Fkj7HRfNPHh/vD+SLz+35bqkFY3Rt1LlsKSxsVQGPGztVgqfoINSaZSkVgcQ8Uveu0Wl44lElhXIlmR+0nxcJuNJ1P7w3F83ysakQHsaDiu5Rh39kf6Mt93RXmN0uD8RhLJnmCkeyBShYgM9Efju/vDfZFYDA+hmp7ufHAicLffq10GsapFZABftp5Q/KO+KK49XIdyKtU93Dfw/d0TjO3DV7o+r+mmgHdqt7qi2Thr0TzNY1VCLJFSFZHBa04lfqYlUoJBGapHmerictwi7f1MdTw/pOL9Gy+veKGXCUXwSqPqpxCfFheT42XAru0N4TUrFlbUPFCRsO/90QTWuz+CM883vBLYtZZK1H1TbFqgRI5XnsKKVw6HvbwwLj6VSCZjiURMu/Sqeu1hdcilR+NaDbTyNt6ihFY6JtETivWr+Ym6WFhZXzSxJxjFVz5YxVXjIOPOti8U2xuMVCi8ng9W1heJY3/7IjjndRR9wEHQjkk4hssgFKtNzAhr3R/B/T/RhycQ7/+NIBxP7QvHlb8LURY83D1Kqz/ixMmxylN4eXic9Vj1lUhgUIbqER4dboeaYHYlSsrg7V+OWRNR1IqeDq+kSqpSQ9lN/OJ47w1F94bwmlWbn68BuSRkEbuDUeVHuInhdQ3fO1WFZfClS6kLlBSGb7jKoExZBwH7iyyylkvW4jG1ue4zoZlEtPJ1prLEk8hWxfpjWh9qclJ1YbXheLJXFtJJVHrvsfzeSGxfKKq1XFGzW1wKe7pHu8XVRW42c9uP4baPrFptgyHaNzGZ6tcOToz3/zononjaL2dUeT6Xw65V/VQD73fVibxiJUF1RS89LqU/PhEpxaAM1SPcMt1a3kgmrcALYlTpm1ksobVbqURU9Y95yIzFVWwcjr3olbYkeHZG48k9oVgoX5cJ1YUMU08wyp9Mi6c1TaLuxCW1thqrceQVdiqB9zV7ibX2sI+4wjKlFuoia4GDnqnNVI2NwdkNxZK7B6KZ+ok1/pZh9fim94bjuzOlVyrxpccicTvZPRDOtKVe6/3NhOBxi9tfob0tDlaMa6A7qPUBXOMjYoCTk6nQFOtT/pQlFXCCQpnazTw3VeOw2zwuZZk+fN3jVQl6RtXVzNXqcNVHM2REOfHqpDrlsivrck9VB9uCwl8m8Vqv9jeiRCYfLBMWuLTOTUq7OeDFty8a31Nnv3rhWGCr9kXiMf5kWgSbzeZQ98qCK7E6GVelxWRKK9mMjDEu+FgiUavSMfnEtYpUeJet4Fbh5PZH4r0RZe0rqxJPpveGY3tDWt1JhduG/R2IxvcGo/V1i8NZiMb2haOxWmwVVtobTuAGW08BmQNw+fdFEnvD8Wq2f0FDwnkJJ5K9YTXNFVPxWnO1W1wevPLFVN5f8wqra5rKqXVUz2wv1S9enVSntLiAoqBMWF2GHO/lMXVvn1iS2lI8EUW957hKzJsiO4C8WRUqDpQnkikjzbhMMZyKqg0CsotVCMpk6gspW4u9lOs+lUpF4wlV/XCrhWOiNXATx+Gp1GXfF03010GBkZywUZGE9q3fp6grOuxmbyjWh/xBXe4vbnF7g9FwhdtXzoLV7QvFg/V629fhIt0XTlSzCQwqDN/J/dpXSSapalx2m5IuNYVMKbTKnkU8YBSGm/3YfzW5CqKKYFCG6hRunaraisdjQ1WGHE8ItWWh46mUwgUqCfHgqeUppbgEtr+76q1dliqeSu9la4JFwNlX+NpSheYl0upCMtjx4guIJVOpTPmAOr7osZHpVIXKywxEExjqeuczUe9QPLlrQKvBKCeVBae5eyASitf1/iZSqd5wlVrRwhWFA4s7Ku6rclJ9wxnsCWlNQVfiu0AlwSXTG1Faho2KZrPZWj3KeoPGC2elbwBayzWKflfAe43PpaygEFElMChD9Uthx3WqcuPI4KhtrCGGZ44ctSqWVBPfsZcSDsNK92TaV5DpOpZpfyEWUtRIcxPTWpZRJFOKpYLXBhauMKbpKrpxa9wEYlXpAtk6nIFoAte+yrsWvkT7o3GZqHtuh93KJY1b3L5QfVVZyiepFeeJVDoug29cfyy5N1R31daGtC+cGMDpbLjtbiK4HfWyZd+acjttTnXdD4Uq2b0mnu8xrUq+TFrU5nGymAzVOQZlqH657DZVfdcpKQCJ3GVM9Q8DeI1W9YKiqukc5GGKLCsRS6R6G+fHUsCG9kUTSsoTNTE7KHp5SbcoDmJmwQlVVVZFa0+nuGIy2KN4spF+6MVNCzdAVXEZLAp58kYpcIArebjPLROlQw5+XyjaQC2SJLDBwUjl6jHhZr8/kuiPNGpouz+axCOggb68TSYcT2KQCaoFe4vNq+73ziC+TRX7OuFuo+reizcav5vFZKjeMShD9QvZJF+5HTNnQRbKemkO5DAr0S6JqrIbqn6yKLIpODyJtQZ0G+0nLy3TUsOebBsB8rGqgjJQ0R+mFZbEcRYXkUmmMs36NkpMYlBK22wF9ZiwhIFYsoF+6MbdrOyfhXHp7u7XejaS6QahlZcJVyqQtC8cw4Omce+euGEMRBMsL1kTeOw29MXTHPBs9+Bpp+gJj5tkrGKtquHbquqV2+N0qGqkkqhyGJShuhZwKwrKpFLW363xSlGJGISSyj/YOyW5X63uUhFF/bHJuwYiDZddERKp1N4QWxksJFNWRs0bTCqtRU5kQjVltc1bWorpdiqF20jDNkuEc5DAPcLauYgm0+EGqbcFLofdV27DZLjF7QthdxvyNoHN7o/G1VWN1eDS2ReON0dzufvCCVUFS6l4OOYsploP3E67whpMlbsnRHAXVnED1n7fZRO/1AgYlKG6lunBTsGtFDlw6xGEChW7xUMnbPmHOy1apOKZEyiihCdydvsjMRWhpJrB4cIuVC5Y0OgcSl9gkpUJ3qW1BmXULDlTY2+IPcbVgsumca8ZHC7k0q1EGfBRfGsa5QDghHq1vEc5LznYx/5IPFqX/WoVCRngvrCydn9wzoOxZKi6vTtVjsuhrGY0FQl3zgEWUKoPDpvNo64GUzShsrcKI1U/ADjtNpe6lvKIKoeXKdU1vDd5FbWXnrDcQW/lmjQLWl6yVtxGRW7JO1R9MawlGEtEGr9WPjIY7CQ1H2Roi++HaEiZUIb6C0bhi2AxjejEVTeXW304C/FMaRmZLlEonmigyge2lnSru8yWHYPxhNbXUoPf5MKJ5ICi9pgj8VR/szTF4nLYOvxuZtKqLFN0qzmuoGbgVxeU0cqhV+DJiMdtTNEtRwvKqHufIaocXqZU79wO5BAV/Kil9XNk4Q5fuV8DAFkdKwtPKuqDBo+uIX8/xKb2N0XHotiBYKyRMplV5lTUnBPgEFuMh5rhCkwoKshgt9nsBd/YtFiGouqBNYd9iWnhhpL3BZ+oaEcbyg3zIt9dzoMjkkj2hqLNcItLp/tUNPuFvPT+SAO1516Iy24b4XMprLtBxUgkUwMx/gRSR3Bz9LrUZABxZ4hW4PetoKJyeVqRSdZdogbBoAzVOzw8nCrupxYjF+FKtiWRbklHLbw6Y7+U/AaltYVW8G0Vx3BfJN74uRUJ2ZWBWMP07FtluA5UFZZB5tBSQDQXXISqAj14aSv8yoZtTySap+C91iVW6T9s4suSaJwIpsdpL6YmphmOTH+kee4J+I4MIMNk4ZuCh8veZmkZHU+3YV5XMY2mkVohFa2Mk1rtHpeqUAVuMWp/tMCyVLX6ZGtJD1kAnKhO8OFE9c5uU5M5xCtB2a3E46W2Ev0u6bBteAKV/dKi/Yxv+Y0Hj2fXUM3T7w/Hq9O4LzajOj9thGJJ678kNyuXulcZ5SVlVLUmA86CmTRsd6JaHWBX44rP3G1w9EoNk+FrYv0mo0P22O9ytHtdI3xuMbR7nJjiUVEuErcO5DdkohTYv2A0UZ0bgtNuK3zhqYIni5WH1wDukE3ROKvD1tLhd6sqHUAlYYnUOqT93qmoyFhUe0aqPMXaAhXddXzuIX5rJKoffD5RvcMbtqqftsquFK9VL1Kdq8ySTJW5inQ6raRkub1liLbQwvFkpDLFhfDAxCke5nWNbfV+rN07YZhv/DCfGPlYm2+U393m1vq1rcRzFQduXzjOH/FywiEvXK+neGqblcGCVEV5sI+FY74preKS+kypFnvIrBqXts/t9nu0wZf5F4PX7fK4cM1j6yryNomzUdJO4WgruclgdzxO++iA57A270i/FogJuB1iaPe6MGV0q3d8u3d05k/iK1/GEfC6HC5kwUuXyDSYVYm7AbYGZ7Pd6x7T5vvYMP+E4YFx7f5xbT6MjB8WwF63ebU6NZU42Th3/eW2LBNNpKpcZ037VmTItCI4tLi63GVdFURNCV+y8ooTmuGWqbZfLQu/UWZrKytAT1QTDMpQA9BqhMpRSyJaI5dyvCSxTJ5SJiojniq30QqbTcnjEFmCAocZm4bsiop82UGwxla3Y3SrZ0yrp83jRFYqK2OC/DKyWMN8rnFt3lEBT6vHOVRpnpLFk9XOeDQKXPIKj7bC4s2Zch5qlla4NBDWEatAxSW73YYsOrLhWuTFkSMvjklavMblFNEZjCvPppb00yZmtN4XOHagze3o8Ls9Q3VT7ckUosFXHreFdo/DV0oHrjicAa0xmXIO1/6w+h7ZsC2tHtfoVu+4dh92yp05l/JvGUjhrjbM6x7X7sdsAZx11b/rRhPJMroOxIEIxpJqayWY4VThevC5MoE5z4EBt3q/y+F1at0vWjwcOJxYIGstEWXBl0JVKZKQuq61cBPWXjZV3IqRd1B+OyWqHD6lqAG47MqeHHg9lWNF054QeDOt7KupFvUoY9sgkUwpqVLkzvwuLxMmeEaq/SUE62rzOEcGPMN97iJfl/HuPszj7Ai4kemy+p5+MORYKpz1aEg4yMhCWs4TSbhQ5ZhlmWI3Ck6YbaiiQPGE4h5ncCjdTicGlxZdHPrAYo5MaRpkKR0YkVNVwH4V31IyDrb1iGy7x9nmKS2L7XLY8ZERfvdIv3u4FtEY+rMeBw5XOQcK97fy7sAFtGob79HaMSmuJiBmG+5zjQx4/Yp+wdbtD5fcl3k4lqxoS2oeh9bmboffhX9H+rR/270uPBTEMNzrHCn+FHBjnrLbgsEVgysnUG4/XERmuJbwDoJ7We7B9NtS2bCU7IWXMsil5IenUOHy0cWLJ7Xm8GXCGjxrVC3Kr6jzVqLqsFWipC6Rcn3RRJ+K9hd9Tgdy9TJRHDwh9gTxxl7xb4rHaR/ld5f6k/hANN4bUfAbxdhWb4Ey/93BqNqgzKiAu+zW13DTGogl+qLKmhzGbuOqKH57Uul0RFELwcifF9O0BPY0GrfUYKcOeXtPKW8q2FNVIUmvGy+KpV3eZnhmxbQK5wquRpfDUaCkDFYUiats1hr77nG7yt5/bEksqa6qfYYP21PEGQnHkz2hmEyUxWm3jWvzykS5tFOfTO+PxPCvnGRyWJu3jAg+rvDd/ZEy2j/OB1swqtXrKfcWB6FYYp8WSVF2/Y3weQKeYr/4WO1H/ZEKPfSQDxzhc2r3glLuBuLs7yux1eHhXmdr0XuNJe8N4epScBkE3M4RvorUm7D+ZdSN9Ln97ryXKI7D7oGoTNQZt8M2pjX3/QSbjZOo5IWt3etqz3PxFPhiYs294biSgCZ2c3TAIxOlK+b7FYwlsLVKbjOtHsdwX2lv1znh7O0NKXi/wkMH73Wqok5EVcCLlRqDv6wfP83KqIiUSKaqEJEBbdvkaAlCKjojxNOrQEQGb4EKIzJuh31cq9dKe/h402jz4JUXSyo595UTzq7W5Ws1TnLjcTrKP1NZVJVHwndYjlmAS8ee//rBCrTKjuouCa3Ai8tSP3K47D1Op0vd6YAif5C0fryV9H+BPIZokmZUwIMFmr/+yEGVd0+IxNWE+QSX3T7aWkQG/G7nSL/W8LFMW4ZcYvEX9EAFKqsCHjTDvM4xAa10ZEkRGRBnf1ybZ4TPWUypGSy9zeMoPg5FVDxcjfnh78q+PHKRZZGLKChzy1RzkwnHlTyZWyKK3jbdTnsxv3gR1Q9er9QYcG9V0kofHhmlvmyWURu/PHhhLnVdSe3HcwUPMJ8rb/4BW9UfVVZb2JXplNSp4lT6XY5heElX9D4R0n5/rUAupPEpe2XD5aqiG6OE9uKn4EzhnbXQnmkVdpTl0u2ZKkhKDiS+PArjMqk0rvqhD6b1DDq+qHLMMpw4r9PekanQhJuAvlxk1FvLatMRhwA3XlVffpzlEX5PkfWVCsNteZiv5LKT+cSTySJjcDjdoZj6px7O2gifuxUPcms7lCmEolVxKryc1kw1KGWXHdUUzqPLYceAr7k3U51T/oGswZ3Zm//1ryR4klh/HcVCIip+aMQFo70eyhRRY2BQhhqGxR8eBWTnSn1sVLRefZZgieEPVY0gFGiEP5Io9lV+SHhADvO58KSUacuQaWlV1PgCcp1s7jcn5AlVtWaCfK/1n9ISin5Gy7SWk/edLVOiTk0+HavxupCBVPZ+6NIKiSg6I1r32KrCEYXE1UW4BBxOfP1H+N2jAh5XpsgTbmLlvYMnkipbkxmpRWRU3uJwz5QJa3Cii3z2ReLJhKKLX+d12UdqbTzje6Dgi4DMebvH2eFz5zvjXqe9Hf9X96Wj6sP5C7gdIzLN/I/VWvrHl137vo/0u3By5UxkWZui0mR4ZOLWIRPlwq1Yyc9jjkwL4jJB1CB4yVLD8Kj4pRl3+0y77jI5JDxjqpJnkeIltnBm/REIbuTw8hxYHKiI9V/JB7V7XUpqMejwfo+XNlwYMm3NQLQiveE2gQINr5QEhzdlLXOuxUoUFZMpXLBZVWUWm9bTvPofdd3FtRM8JO2MVOWaD1fmRopDgDfvsW2iQlOZ94FMr3xqLqp2r1vVz84Clul3OX2KQs+Z9liG2FOcJq0FNXUnC7uAUzMyfwClPLj8RaAnq+ItVudzaS3HKV0bVQle8lx2fI+0QAyGET53wK31jo8BtzwMuIowD8NtCuHY4isjE9bgNm+xM+ugojJ6eC44lTaNT1QFvGSpYSATVUx78kPCM6P4x0aw6qUniq/BhLdnJQGTAoU8Eyk1XTuBx6F1tyQT6jjstjavmp41cFVEFe1s81FVNMNibk9Vzr7wa30atwhFQRmtTIvazGgGcp6qYj2Z7sXVHNUCcN72hmIW39cLwE0MtwKZKFFYUTbA5bAVaDa1bLhQWzNBOJm2IJ7EhT3EKcA9P6qsLpfGbW8Z7lPy6M4hUyXKZYzH4UEzDE8EmaKGgVOG8zjc6xytdYSvBWLkH6jyVN248LpopSgrXmhVNRfAxqSoETEoQw0D79xKIt94bBRZhwKZlZjSLoeKES36V9t4JjslE+XCi49bK4KU+wUomVJT7wBLb/cqaJY/J6/ToarjQyWVmZsPLg+tw3TtNFqFS7bsi1ZhsY7CxWTiRfcVPaRMSzIVyV1gwQXiSsXDAVVzTIcSSST3ZZpukun6EE0kVd3iAi5XhX6bdTscSgrg4BsUjg9RQzbTWqeyc4TDMtxXbr2y4uD5Ndzn8rm0I+9y2DDO/HzDwUkcqfV87/FrFwtPX7Vl2utRcNhxd49ZuMOrqkbqcWptD8kEUePgVUsNA08MLXwgU+XDI6PIt/Co1qZotbMQxW9ewnJJUcAbUIEMKvJRSg4AchRKHvn5DPOq+SVW6wCr6me8IWilxlUc4XRL+YVQcGos1n4S8NJvL5h5xjdLjlnj0joIqtRlr0XKVBSW0YoFVauAGO4ne4IxraczOaH2VLVoi7uorwLFZARcRG1eNS3LDFksSG0Tv6O0LmkreOcX8BTDIyDgso8JFCj3SfUI97GA2zmm1eNzqXi9o7LgO6qk0UawUqc+rOhXsQKNJBLVM1sVyi0TqYI8c09QQRn4TOtxQxfc6A3HB2LKOh4qEl5LsG1DlibFIegNx6zXv8Wb0Eitgw+ZzLJrAE9Yq0cb+dLhPq2fFJmuANzH9kXi1rMTeKEf6de6a5XpPFLpdCQWlwlr3E5n4VIbAi75aFxNr90Ou91TVsGiaDyhpFJPeRuAU6xVplPxS5rb6SgQzsA+Yk9lwhqf21WhYjICLodIPG79IY6NxKbKRC64z+wLx2RCBY/DjvdmrcvSmubD8IXa2RdW8rUSP/LLhMlbZy7te3GDTJRrv88TU9F05chg1JHnixx3OHoDPpmwzBuPt4ajDZTRTtrtfT5PQsVv7N54oi0clQmloi4nNlImrGkLx3COZMIk7rArvBhyQg7EH0v4YnGMyElFaz9l5oynb5QJA7wl7g2p6dG93etqL70WDO4n+0KxsIpC1m6HbUyrVyYqLJJI7g2qeccYl2lkWyaKhlO2NxgrtSMOM6fDNrrVo6S+J1GVKXj2EFWNy25X0ptyMbH8ZCqtpFh7qfBIxGNpyCdjKpVOqKj5r/2wmOeIYvlKOorF0xlrkYnKQK7Sq6JQAl7klBzVplRM8KgYZddgwgflmAVaMRlboR1R8lYKToeatngLwOKVtPWTzpCJXJSHTqLJ1L5wDHmn/ZF4plnZ2nzpVJWMw5lW1RZvAci+yjFr4vnvxjFF9UDBkUp7Y4nKfgGokdnS6fZw1BctJyJDyrkdDkVP+DJL2yVSKSWhNA8eiozIUGNS9BUkqgrcaZVk75HvHrL92qT2y3z9ZhXwZ+ut0iLTWKDrIlV9gfsy2VOZqBinQ0Fj+zjsNYnENYRMk7UKvn3plnR59YOUlNPR9qFgiEFVgKA6ZfFVRcoKFz/ErijfGawPN7r+aGJPKNodjIXiynthHlpM0S0u4HFV4WQ7k0mHikdSPP81E3UqC8o4kwlssEwQmbRGYu5E0qbdCaj2cJNXVQETd/VSb+Z47OJD1kPkmTxC5StMElWGmvc5oqpR1aRraKjCMokiOqqoEORVhqyipaRFNKdNa+BNJkxUNbrmzTTBWGnOTK+ZMmFBMq2srETzcSh62ymjEZOEioiMbai+VHHilZx9rKXSxWQEVSsq3FiP3W4rcKOwCMcbd7y9ofhH/eHecDwST8ardefFeuWYBTj+arvBzgen2aniW5Cw2dK5gmxJuz2l6ppNa/V3qvEFoMbkj8U9il4wSJWAS01HlpkIS2knFzd8Ne+0dpu7wuWyiSqH1y41GO2eqyJ7MGTHe5GavjEUsXkK3s4L9xqopH9oZBrdivruLQwrUlIeJ1GrUFwjUFYlx1Zy59aqGqN1FLwa8TapJCKnJlJSHCU1mApXDcOXqwrNtWITBmKJPSGtWtO+kNZglqr++HPSKomqONl4JFWhJKDgVnHbT9tsyVyXTMJhzxmsKYMzlXJVveNCahTuRJK1luqQw641uiwT1pTaZC/uxkru9lqDcVUpo0pUCQzKUOPxqfhZMjFUmyxDhkUKwEPBYlWaUMGmRvEyoyRmVKDYUSbHIsetKNBmjXKZzjStrqwWPW41DBxcJflPXFsl9aOEU6LkrGiVzeVobtrJV7Ei7UKs1nWv5AuGfS6w31iBuxp1EKV4Kh2KJ3vDsT3B2J5QTEkA2izVgotKjluhdRpTrSPjSKdslrc5bWtJ5/oeJPDMUrQnvnic1VIon0AkaudTti6p6pAB71El9ciBG76SKyJQsS7wiKqAQRlqPF6nmuxBNH+N97C1Fm5dDgeeDVa2MZlqieXPisS0kIkcL5vXWSiHqqRgP7jsNpGjrsKQuSysHhfk07AomSATp6KOM5PaGSv2OCspJoOLQ1ULLIWJgAz2rTqDqohAKl3oION+pqZoe9Gwa3hPj8STe4LRf/WF90fiuCkp/G6qqqCaue0MdZfD4bUpGLC5dsubnGqxJXOdypT2PFBzeN2K+i+j5hOIxp1KoqFUAXi59qiob55IpeNFB9PxJqCkJ35svJJy9ES1YlPyqyBRNeGB3hOMWq9cE3A7R/hydwS7eyASsxCWwZLbvS4sxMpLf6vHOdybe/P2qegMe5jX1Za/+tJALNEbVtDrM56RQ5VOUAY5NiWxpJFDdUmOXNYh2CW2gE2IJRT0jW2z2bDvxbSGi33G0bb+qCpmx+PJpPVet7U8ugjMVAWOjJILAwencE2o3nBsQMWrc9lwQD1Ou9fpwL/W27gJxRK4kVq/rrAlQ17G733ltv5X3pEJC7R4it2etnxl+WPxQPSguEnKZhvweZQ09OtKJIeHwjLRUNgltlElusR2ptLDgmElxWTYJXaF9EcT+1W8+2lHz1vU0YskknsGYjJhwQi/S1X1K6KaYEyRGo+tJa2kKS8tZ5nrwa3VbrX2RPe57A6b1oG3TJclqjV3mWMzMK1AIZoi2bWmXgq92iv5DRnwhhSJJ6szqCrdU4NuYBqHzaY1+2o94pAJJRR1vpLa90DBGRky+IV15L4jlEhbTjqNu0t1BiURGRjyILdVpY+hArB9kURqfzSxNxzfF46V14eXDrur5LrCfTrrRmQeonZbzOGwPmjNvqg4B2lbdoGbtM2WUvRC6FLRGjE1JXecTcnUO4/WkaWCu0zxBRuVFJNx2G1KWjYgqiEGZajxIEOoVeOXqfIl8/R/HElYrd3qyTQmarF2K7YsZ6s3iZJa48hDq4xQMI9qMSzV0JTkzJtY4fIUxSvyOCsJOti1AltD3DNqG3GouSEPM266w/MULaymNO7byVQwltwVjO4P482/nMsDC1HSn1eDSuFaN30d0tabq8lwMChDudhTKXdSu/SonmWK/il4xEe0nxXleAGYSUkTv5n6+Ly4qLExKEMNCY+NYip9FJbUfs3OfmjgZd1iu5Jtbtn2gsfaQwKblrM136gWlbH69oz8lf1Qz4TmlSiuBMchC1e1krcf7Xe0oSIB2hwqgjIOrXDP0NusZF1NzO9y+hQ1KmQdzlV/LNkdjPZH4kpqKxxCtF6xDzpiWkkZPBNUYFCGcnKk0k5FpVmpcvCc9LvV3AqKKQKj4n1We5f1WaiUTVQnGJShhuS0aT0cWYR3+kwNoYMeCMm01Zo7enMkyLhaaXUMGxZPZbcWkZlo9RGGI+cZqrHkQzl3egjverEcKppdQLZwyO8azkXSch4PV3rVGjZqXFptHjmaF24abV6nq54OZiKV3h9NaI04aP13FP/VtVktD9nIMntekZOoVU45hA8sFaAVk+G10Qh8WvtiCu4PwdjQdcGjiZTFV27QesK21LUGUV1gUIYaks1m86poVsZc9l3rKtvCE8Jp16pWyYQhQFMebEnWBiJ7Wrgn72LYbTZPwUy19WckNbdMz10K3oGGbBakyHZnhqDFcPnGNiRbMdlpt8M+wu+ut8MZTab2hmO9kXixmT722FwZ9nRlgj3U+Dzsk6tB4OkeKL2FYzO8Scbyd3IKqbSazhmcDu3dWyaIGhaDMqRe1z/fzhoGgkH5N3X8KgorZjVFlsYTAtlECz/mZLU0hgyMle6748lUVoQIG2e9GVqXw6bkZ5BmZb0d5UOB9fqDkEof9AU0U1Lb3OnQai/JBFmG29povLPX2T0E11EwpvWfreQtv7lpkRN+IaiKHKk067U1kABeE1XcIsLxQic9qaLbCmwn6y5Rc2BQhtS76tobsobNH2yTf1PHYbdZL0WP93jjIwG5QysN3GJrPAc3uIANtNhRVCR+0O8MieTQNT6GpCSe1cSsHt9Dg5KgDCTzl/xKpTUyUS6bzeZU1DIx6bTyMj53XdVjEqLJVG84HmVctaCUVlCIUZmSTf/91WKY8OML5CQqjrtgiQmqN3jBVtKZUeHaSfGEggZl8Hz3qCg4T1RzvI6pgbV6FHQFYmzWF4+HnG3rFklrfvjgXIrFZmUgcvCvvlY2T+dlx4Fkmc1mU9JHQzKVtykQi30eC9hIFpOpBLwHj/C7C/esXxOxTFWmqIpbZfPKbuiXitF6/HQx+I+eKCdRcdysu9RofCoKyyRT6QIh8rCKqyLgYXMy1CQUB2U2fbA1q94Khp27u+WfcxkIBrPmxyD/RlQQbsXWs1shrXlIOY73eCs/zDvsOaoFWawrhEeasbCM9ZL5vkxzIEPjGzsNRUlhGVxoOWswpdPphOUfV1lMpqIy9Zi8rVpNpvp6K8ZtsycUV1L3jUqSKYNTQZNvv3jG0zfpg5xa0LT7Ltfnx8flVKouJ4OkjUZrIdHy0xMPd7y15nyvTqWHqNxUDDx5Aiz6Tc3CZr1wuNFV195gDqmMGzP613fe1hoIyPTBMD8+JROD1jy2Uo5RA5ozL7tk7x23XN/5iWNkQh1cvXuCsajlN+/RAY8o/bg7GC27giueDcO8rlZ39uMBDx6LzRz4XI4OvxsjWMjugaiYWLaRPncxzQ/vCcWyak4dUiYM88mxXPCKEYnFZcIat9NZTGgD9+loPJ771aZEDrvdo+glRnvf0jojtrpVLofDZepoOZlKRS3/jFbqzuK0KjnIjciJs+Aop1QR7sPRRGoglowm66tHI0+mTeKcbd9gm/dHYgPRKv16v/FrywZefU8m6oAzlW4Px4xtfCQcjv0+b8rC7we64aGwq2I58BlP39R+ygyZaGnZtOju7gefk4lcPJPGfGrjr2SipaXvxbfeOvM6mTBJ2u19Pk8i/w15+u+vFiOhd7bvuLnQa6o3nmgLW31Y5xR1ObGRMmFNWzjmjed9kMUd9t5Aoedg8eyp1MiBsNrAbfspM2c8faNMGGgF5UJ4j1NwJ2r3utpLb+8WTxCtMzgVNSjdDtuYVq9MVB1u5r2ReNDyTRJ70dGq/YQq04Nw++0NW32PavU4h/sUFJknqgfV+Alx5+7uRx5bLRNE6iD/oKQqqagTlEylrTQ5ZmvJ3aUR3nItlvCPDrY9bL3uEjbG2DkU5eRiYdji4DApKSKByxtkYpD1nrCh1M2zXvLuEISD5nU5RvhcHT63xdqaasVS6QJhl0O5qVt7Op1VoiXdklZ15pK26l0DI+cdL8fyOOzyc+SYChu/drsYCkdkKIsjheuNGgwehj4VzbnHU+mcfYaGLP/sp20hK+NTE6nSs/PRx54sXImJmskdt1yfNRw+dZL8m2rIA1jPFkYzP/aHrYU8kJPPF++w+NjA00wUWrH+k4XH6Sgy06Sm5f3GVG91MeqWVjnIVMKlDJn4y0HHPJ3WumWSiXLhPJZUc9Dq+g5tONRel2N0wNORp3BK9eEqGoglrPfu0ZwOvty1rqwVFXNKVvHsj5w32zk8dylswJ9GX3S6TDSLVAPWx2y8LaYM7Y3R8hMe9xXzD4qJZNp6m3F4/+ePjNRMqnQ5DwSDKx76o0xQs+v8xDFZQ77Ka9Y5TW3rliGVTsdTqYi12q3+/JEXt8NKqzLaIy2aTMW13rvllLK57LYiIw581FExcDkpiWFllYvBpW4uO1MqG7atpAwM8qXVy07WHey69YJCWIDP5Rjb6u3wu3FLzNSHkn+qlX3hmChpaIQ9PaTLDJq+W7Z0WlVQJqEiUFu8AmGXEecWCtnoME/7KTMPu/ycCdfOH3/VF0Z++TO+Yz4u/3aw1uOPFINxBveEUfp0OamlJfCZoyded4EYAp1T5FQVUg14k7KrqExE1YdrzVwlvwyhWHbN1kjOwjMlcjvth/LPh9R8qvdS8tSa59mCLymHO7LTcmUTvDCE48mEheoSmaxI3kcX/logZFOMZErbQm1BFthL6Z+bJWWoSE7rP6Vpv5sd+CUN72opBRHIktshxmm3VbHmRRPDkfS5HCP87hE+1wifFp2p4XcqnkprN08TbNAh/E3H1+ugbxgOhKomeuN2R6qKx7VAUGbIuksj580+dt2y43Y9OOPpGyfffvGEa84/7LtfmPyzbxz92I9nvvAfw8+cJecbNP33S8Qw8drz5aSWlo7zTtSnI3nYlece+49fHPHwDyb8+AIxYBWHeAPDdkXxPqo+reCj5R8+tcYBDn7Ea1EaaxcFNsqjPVgO2Xs4NaFqNPSr6/zEMXfccr1MDCqjod+du7u7/vkW/g0GQ5u2bG0NBA6fMmnalMk5S2Rgtl27smtOYU45NmjTB1uxNJkYFAj4p02dLBODzDs4duzocWNGy8TBci7WvHadef6c2wDYjPUb3sLI5i3bBoJB7P7YMaM7Zx6Tc2bAPJs/2CYTg/QtwVF6+ZXXMA/GsaiTTjhOTNfhrzjUXRsO7DvWhaOdc43mQ3T41EkFCsuIE4odwSrEFHFOZ82cUeBY6XsUTqT64ynxPnn0UUdo/2lp6e7pef0fb27bvgMjfp9/0sTxkz8+4dOf7BR/NcO9PdOwhUyWyuuyj/IXansvlkjtDpbf7B8eP3j24MEm02VxO+wdfvxT1DNMSaPC4LDZAqU3lVdb7kxFDJnIBZcKG/o1UtI+rtftEplkfA+jltsPxjfGV3qX+YlkKpZQ0PgrDrL1F9kqw8HHZsuEUjiRqVQ6kkiG4sl8PXFUlMep3Z+z3t4j8eS+UNR608S4oyLfUriFmne/eGvf3+voRylXMuVKJLO2uN/nibjUNJk5LBR2V6atX72h32DXFr0Eyj+mXxrdtluM6/DXY9ctw0iiN4i/ipmzGvo97PJzjOES3HT2hmLGVvnfmXdz+O3/lomWlk9t+o0YGXh148av3S7GD7vy3MMuP1eMxz7scY/vwIjLYR/betArwZBtEhdpv98XU9GUHlStod9ANO6PxmRCETb0WzW94dhA1OrXWeuwIqB1WAHxVGpvMBa3VlYGX7Exrdl3daKGVtWgDHz/ysVnzTlNJjJKCsq8/MprK/7wx00fyKy72Xnz5i648CvG/D8+svRW+ezU/foXt2WFEr793R+YF9uZK4pUUtdCjzy2+pf3LZeJQb+/7558QZwvXHixiIzovrNoIXZKJjKRiF/et0IPoJhhyd+/8jvm7cl3nLGcn915LxYoJ7W04Mjg+Ihx/BW78OhjT+ZbHeBof2fRAuNpLf4Q7dzdveKhPz615nmZNsHufH7OqQsvnC/TBvoepVvscZe3JXNvfuj+/731v3dgm19/oysz10FGd4y86rJvT/74BJlWZ2SmrL5M5ILndPcAcq4KntNl87nsHQUjR0bIOn3UH5EJC5BjGdfqbbIHJ84mgzJG8UQybrn7ahwHHA2MaBn4/FmFIjkdDnfp1SiSqVRM6xff6nF22u0up4M/4pnhxhJJJCPxVCKVwoGuTrUGp93W4Xdn1VeKJ1P7wjGcbpkul9uBzIb2k61M5/LWmUv7XtwgE/Uq4nb1ezwFg0vFcieSw0JhmVBKD8r0vfhWojc4ct5sjO+4eeX2m7JfGqfdd7koRPPR3U9gNs+kMRjPCsqIvpmCXVui27pDb25JtLT0twUCZ84SgRXY/bs1xjZ9hwzKCLEPe2I7eg7zOLyTx4j1QuGOn4qEr8t+vy/OoAyDMlUUTaT2DEQtHlDcIMe2ecV9MhxP4hxZfMwO87naGu0HP6LCKvKzWAHIgRfI3hf2szvvXXrr7QUiMoDc+JJrbzSuwlzoA3Yd3Oow5s+5WHOAyTxFKy2SvzRHzrUbIyBGT6153nxwzppzqhzLlKP52qLLc86m27m7+6prbygQ5jDCAr995Q+yticQ8IsRrAUHc8hThr8WKAVTADYSay+8qSJq8+3v/qDANthaUvYW+fxb8Yc//uiG/8gZkYHunr03//zO7p4emVYEb/yuoX4Vx5+VdBRlhb+UrDienUpqMGWKrdYyFEVVoDW3LUfLl8LLbOY1LZFS8Bu7q6xKVTZFcRRtV+QoHQQ3loDb2RFwYxjhc7d7XF6cKgWXTyHJdI67EFaq5I4cT9ZZT+DlcqSyy86ULeZwIEsvE5XhP3by3sdeFePmGkzO4YER52rxGvjo7if0yEiW6Lbdr4296M3ZS96b/9PtN63cccuq7Tc89M65NyX6ZIFl/9ETxUiRdv9uzYbTrtlw6o82fu32N//fn2DJehEebLAYsSJltzdiP0asvtTQ8Ipr/fUVV0B08CYs+tawAs9pv1tBvWmiulLxXGJWgRTkscvrHvtnd95bfKAhq2iMOWiiV5MRzKEWXVawRtQYMsoZdtGNGzM6R6EVQyUgo5dffV2ODTprzml6vANbkhVvKgCHq8BO6a6/9XacEZkY1DlTbvCQITBdgbBUPjib2Mgid0fsu0zkYk/KGgdPPj1E8eBgKPTIXxR30O6y24cs9o+8nrvWzbQUrpJj5nGpuT9Y7/iQ6hyu7NKa1M0Fr2mZsEzaYjU90IJEZX3Z8CElYRltB5gPKchpt/tcjnavc6TPPTrgGeFz4wZVoTskToWWCzj4jKiqroWFhuMKqrzVnCOprK1ffJGiimpC5eMcHtj3+Dox7pk0JqsxXb2J30wpmOyaTUaJ3uyXkGRfKPLODpko0Y6bV8Z27BHjMZcDC9/7mNzIYpocHlLKbsMgE41D2XVFteCw27Qe9aw9GXEJ6LEYc2dMpdJC+TV+oSZSr+JBmc8c/+msqjorHvqjORBQWNc/3zZHZFoDgbPmnLbgwq+YqwJhfmPpDz3KoNu85aDWVfJFSSDrT1kfhM6ZR8uxPM763IGiLkLOykeYYi5Bc9Lxn5ZjLS2/vH+5+VPTpk7GEciqESZgfjmWX84TIY4nNqaYsA5gG0otKbPpg60/u/NemSgOPrL8oVUyYWIr5af1t9/dKMcUcRVXTkDrKKrCPx4W4C89w1NSyZoCYir6jaJ6htc1JU2oaHEZU+a5VNiYsr9o+KySNz3sgpLy84cCXDh44Q+4HaP87nFt3navE/cq5a/b8VylWdyKbsiZvkUa/nTb02mnugq2cYcjUeHnXaI3qLfSktWm78TrZB3qj+5+QowUJjpgaj95RtuJR7Uef6S9XUG1nahTC0sl9xf1y1ORcEgbsfclanQePFMtX3eJpFZlFS+E1nteCljrOoOoPlUji/idRQvl2CBzMyuFLf9Ddm582tTJv7/v7u9fuXjhhfN/f9895uIqTz37ghxraZk1U6uBbJRVfalAUCY7fGOKUxQuKQNF1mAyTxk3ZrT+WazXvGrs/q9/cRuOgBiRUwdt+mBrkeVcoNPQffW4MVpBX3OxndZAACu645br9WHBhV/BFppjXkPKGTA6a85p+pKNzejoCjRtY2tJ2w1vk8ccdcTZZ56OhZx60gkBv6yNpevu2SvHVMCTqsiCnch4OGv3OhUovV9DVUV7tFYkWFim2eFisR7PSKZScct1l7ARhVtdLSzTa7yCC18LRTZ+Rr3KcDtt97gyBWdcPqUFZ1JpPCCyl1d8b3SF4Vw3R3lAj4pWroWEwx7NNBFVUXoNJr2yErSfMlPUV0r0BvXSNPlMvO6CT238leiA6Zj/+5MjV35/+u+XlFprKaek3aY2LJWytcSr2904keB22K2HsDPhmFR/1OpNRtsYfhGoGVUjKKPl2w+u3lJ8KQzYqXXNkz3zDddcbSyd8f0rF8uxQcYYR9bawRitQD7fmMwq9LHZUNEJW5IVFCimkAhmMJdkMYc8zFM+b2hNxhhjErBM42KxJeZAxsuvZgd6sozTWgVe/JeHHtCjIRjE4dq5O7vE71lzTsUaReBGDAsvnH/jNVebg26F4WjnDDBh0JeMZZrPac7CRDp7SrvRX3rxRffd/fPrvvfdBV/9yle+8D+QvPTir4sZjN559305Zhm+QkXmHZDV0/roqAWt1ZvSMzjYYCXt4CBvGsajmPnTpmazacEMmShXCllnyxeKVnXJwo96+LiSYAoWYr3x40MTTqDf7Rzhc3f4PaoKs+Q8o7gxqiqUMxCNN8E9zh2P5z5SZQm7XZUuLLP3sXWi/pFzeGDkvNmxTFZtzALZxMy+x+Vf85nx9E0TfnyBscUZhU/otFaHS2VYKmm3R+3Mi1IN4DZpvRtNPFdD8aT1n+gyFV0b/mZLZFaNoAx85xJTYZkiKtcIXf/MbsZl2tTJWVWWWgMBTJSJQcacP/L5cmyQHojJChAYG9YFY7zGvCWfN1VNyslYC0nIWmnOcIMx5mJetXmZ5hIrBUoACb++8zasJWdcyTzxkcdWL39oValVz8zMoSKcO+POCiIAJBODuja8I8fM0lojheaiMQW6wVbC53IUnxf1uZxKfoQvlceJZ1g568UH5Zg1Ea13HmUF46kO4cKuYe08I4utDuPrrKSpEUhkSsvIRHMJ56wOpBTOotdlH+l3K4nLaH1qmd7jcdEGvGqaPsG5tt5QQs3Z0y1udZHEtM3W6/elVQY6cjjQssy5x+/3+yJjR4z6ugzKFK67NPqi09szHTlB94PPvTl7yav+8/4x8Zv/mPbvA6+qqeMcczgS6r4mQa+3wseSKC+v03rDcaKmpxwvjyicXpMXaaJKq9I7tDnXvemDrUU23JszCtCVqc5jHOQfDIxlPcwBC70GU1bk4vApk7JiAfrCczUok73YnE464bisGEdWFMYckcE2GANP5oMgChAZB/M8u3YNEUDJGY4Rcu7aiof++LVFl337u1qXSVmFhopnDhV9xhRgEszbYC6/o7PhDVBFpy2lKqn13MwPs3K8avD00ioilbVefNB6RWLAY7g3HKvyD8nID0cTKRbRqRoH3tnUdGhTPiUhFVVBGYhbrz1fInzXKl0uLRJP7g3HuoORSKb5XDm1MnDPHKFVZLJ6G8q3lQFFgXIsPxiNV7khoVSmLEZS3eUKmT6SlT2l0jZbv99T0WZQ9j72Kq7B/mjC/cUTHe1+/wWnYBxTgl1bMMiZchl26kwxEt22e9OiuwvPXJ6EwxFVtO8Rtyte/bcHqqlYtZ8eQ2jzVLb17mJkyn3X+DWDqEKqd2V/Z9GCrBDAL+9bUUzG3hwK2fTB1quuvSFrMBZpEYxBCnOzMnoHTFkxgs5PzBCNquj0ObP6bBo3ZrS5eE4+5pZljPWVctROMpTBMe8a/PK+5VlHwNxST854VpHOmnNqvpANtudnd977hQsvxr9lrGLzB9kn1Hx2BPP0rlzRN8GWxlDtshjIKrhKfCFutVwEtFR4kSt1I3VOu13V8y+eSveGYxXOwR2AbOm+cLwnFN2HHCTjMtWiFcmqKYeKy1Ur/KYoK5VKp5NVrMSkBSLj8XgyoQWDKvNlS6TSAzEt04sMw75QbH+04lUTcQtqq9htE+faq6g8YCyZ6o/EZKLyUnZb0Ovq87j6Pa6Ekth5hiuZdCq9YqMOZ8jrSVXsxrDn8df27NrfpwUIW4adMWv0N8/ojyb6ookhm/jVay1Ft8nXGFtaea2INN5xowmrbyYxpyPorn1+mKqvrt5efC48YGv8iPfgrbTGm0BUKdULyiCH/+V5Z8tExkAwWEz32GWXyDDq/MQxWSEGEevBwo0hj3FjRmPI6lBJjwplRQTMcZYCvnzuQfsOeo0kUeZFjAvYVGPBomAwJMeqCNvwnUULZCKPp9Y8/+0rtVIzMl0cJSc0l7QtjdfUqt6tA6W3heuvevtkeIiWnVXOlBRVtsHhRBLZOZmoJLye7w3HwploTCSe3BPS2nuQf6NKyhSWqeUbE17Y5JgFNptNyXIgnU7HqlVYJoV1aWU1tGiM1mRyZa55fK2Q/xXjyXR6IJroDkYr3Se09eYMtDt1ntOAnIYcsywUT+4PVyMug0ddn8cdcTpbtMZf7f1et6q4jC2VdqkNI9pawi5X0OuRSaXiDvt+v+9fT/5DnNuPXXmue3wHxvd1921/en1mWl56V9ntp8wQnTe5hvtH/r+fnPSzb7YeP138yT2hwz1hlBgvDw7lnmA0ZiEuE3c4BryeRuwJm6yrqxbEMy+E1cs25uQvvc8KokZR1W/XwgvnZ7UFs+KhP8qxysuqlLQ5E4vJKrVxeKbky+FTDir/IqIn5jIaRdZdEszt4Ozc3S3iQblakymqqZpKO2vOaTce3KCy2UAw+LM77y01LlMhmaCMHK8CvOT7Sm/GD3lWT3XLXrqRUbaQT/ap+10CecX+aCIYq+BLBvKjkXiyJxQ1/jgZT6b3hmIxxmWqooY/Y7kc5dbTM9G+NOoqcUSicesNGBeARSeTqUgsnhosHYMvQiKZjMa1Ii0K4avUH43LxKBMDDTeEzKsXjXrZ8Ju12JtMnEwt9OhqjwgDvtALBHCYZcT1Eu32OIOe6/PEzfkjhKY4vci9259vThG7kTcrvhyTUdcrj6/V2FNK61QmMvZ7/Nh3/c//YaY6B7fIUb2P9PVH4wHPe4CLdrsXiG704bJt198YvTR43Y9eOTy/2/UeZ+RUzMLnPn8ra3HHynTZcGh3BuOZYrylHYhp222mNPR78Nxs/4NoIZUXgviWly+AjdjXIVep/W6pOXzuuxOfheoeVU1cwjmnnoeeXzowjJZtMIshj6A8g1ZQZCsGIqod7N+w0EN6Ip5siolYU6tQM3BdZdaA4GSSsqAsTclQTR5a274tpj2g7N2Nt8g5y4X9vH3992Ns5Z1MLP88r4VcqwsxZedKbwZtnSqmvdrl91eXklOPFfkWOUhH2IxBoTsiqri/YA36f2R+ECmzr9yeOntjyaQP0TWUU4ahOzi3pBWdkamqTJwvdWqWRmsWmHJarx3KowupVvSsUQiUZmwIL5T8XgCy5dpg2QqhemqQiVYzr5wNGcGAWvAl6t7INIbjlmvrGFmvQx/gRAbMhladx6Kshpp3OLCsYFIvBK3uJTNFvI49vs85lx62tbS73Ur6e7HmUy5KtBAW9Tp7PN5IpZ/6MZxxTW2LxzvG4xW9D69PtF3UIHi3b9bgxMecrtD+Rty7ntxg7mKk9NmG3jlvXfm3Wxc4MCr78mxcuFLuC8cC3rd8aIfxwmHA/Pv1/ZRTqFDEN5l8FZT0j08lkz1ReP7w9nRcyVwp6xhWKS9Dhq1IaocNX1/6q669oasEiULLvzKwgvny0SGeR6zNY+tlGMtLcsfWpVVoMa8zGJs+mDrt7/7A5nIuOOW65f/YZVxY379i9tERCZrIzHnI4+vNhZpOemE42685mqZKM7O3d1fW3SZTGR0fuIYLOQLF14s0xnYAGyGTAyaM+8COTbIeIiKgd3BTsnEoJIWgu3HEfjrsy/kbOMGO6JHqcxbq/e0DcVcJIL51GMhWJQYz7lHjz/yf5D3lolBF17yP+XYoKXf++7RRx0hE+Vq8zjbPeU0EolH5p5gTFVOqTBkU8e1eS0+QpEj2tkfUbi52B6fyzEMOSF1T3fkCfuj8XhKyxTJSSZYG86a9cbqcO4iMTVvPG6ns5hOi7BP2s6puGYcdrtHaUetWbCRmQIa1bi8jXAt4WCqylpDMpXCjsiEIk6Hw620AmMimRyyjye7zeZ24UXa6pHpiyb6IkNf9tqJcNhxb1RV/AT2R+LImchEWXCzGelz5TsIsYRWvE5h8w2ZW5xzmA9HQlvjW2cu7Xtxg/hT2eJO+4DbnShYF9WWbgnE4j7LtUTjTkev3ycTSmELXcmkPxZzldVZ1YgFn0tMGotnPD780Z2Py6ktLSO//BnPRFlMJrk/vPt3z4hx8Mbjx1z9RTEe2bq7+8EDBWQg0Dll9EWn499EbzD05pbdT7z+4aadaVuLo93fdvx03zETMY++osOuPFeMRLf37H3072K89fgj206Q1Z2MmyRk/dWeSrtSKU88gd235/raprTSMc6Y2xm32VJawaIK3kjbwrFMu865aQWyAmqugfZwFLssE4q0nzJzxtM3yoQB3q/wEqgVS7Ks3evCfUwmSrEvHA+qq6mNL3zA4xzmcRW+heP2hbegcCKJfce422Eb0+qVf1NK2ztrd+PyuDJ7pO4JT1R3ahCBN3ePXZi5cMTfDU3kFm/a1MlZNXF27t5tjA7gr3oZmaxiNes3vCWqO+nMPVIPCTuSVQYHa88KT4C59RkwHwRzpadKwzacN2/ur39x2+/vuydrRyCrJFEB0w6uHQZ/XZPdzrFgPtFDVhnzVqu+K54L2ut2Wc8HfAyZA5moMJ+Kllexo2rbJ8brUiie7A5GI1ojoZZenvDheDKFDFWPVkEpXTgWgPe0vkhiIFqJgr0k4fK2nv8vVaaYjLLCDkKm2p/iHRFViqwH13CdJ1OpSCwRK+IbpIXJtPnw3/LXi6xOqLiKhyJvsGsgugdfcK3o/RDfyiFhGRYjMpAJ1+U9m26nQ2F5QMAOh+KJ7oGIOAJyalnSNlvcbuvzuXt9nsIRGUjbWgY8rqDHhU/JSWVxJZK+yrQThC2MZSI++wL+qMuZstmwqQUOEP6UsslQRW/Av/HP6z648/Eddz6eFf7Y++jfMUUMxogMRFyud3/+p/++6eHtN63MishAsGvL1qsfeOvM696b/1PMEF7/gWh8KNkX6n16vVigmBP0VegRGRh49T19upxkkPXXlN0WdTr6fJ6eNv/e1sB+vzfodWPo93n245i0+jG93+eOOuyZytiWrhyqHZUnDssaiCY+6g/vj8RjiRReX/RB3JYxffdA9KP+SG8kHq18j5OtNWrVxe/GXVyOEzWlGgRlkJ/P6h67sM5PmDpOyvT+IxO55CzKAVnVebL6PDL+NStw8PdXXxfVnXSl1l0SzAGXFX84qCRIvlpR5oOAI5BvN2EgGMzaYIXGaW0hDxEcKcD8WWyq+YQuf2iVeQdPOn6Iw45cVHVabHHayy/DifdqV7WCRwG3mpyG36Ws2QUd8qZ7grG9md+USv1dC9kcvI7gg/tCMbyOhOPF1pjAavZHYhgs5pSoAFfVW7OGSryuaUVv8ufky5MJpsSjcS1KUmrAAjPjU4lkMpZIxrTcfvGXvdYGMD4r0yXCdvZF4okSPx5JpPaEYj2hWH8sqWUVyvrGIROyP6IgOjBkCL3Ni7uy8lucFi/eG4yG7fa4w15SkyI4WAm7PeJy9ntdyLojJy//UISQ2zng0eIdMl0WXzTqqGTuLuGw9/m8+1r9+Dfk9UTcrqjLGTMMSIbdrpAWsPDtC/hwEIqv+5Ml5HKHiisgaU+nndXqhzhp1+JTIeyj24UTHXPaFfaiRTVUiZ8l8F3sjyZ2B6Mf9UX0AS8/e8MxTMfrkJyv8lwOGwaZqBbcwGvexjBRpdWg+hIMBINfW3R5gZZEsqrVfPu7PzDnz0X8YuyYAw3jB4OhTVu2bv5gG5acs2LOI4+tNvcbrTNuqrmqkdG0XDWMioENy6qslOWsOad9/8rFMmHw8iuvLb31dpkwwJZ85uAyO5u3bNuVaUI468jnrOxToPqSmF8EqqZNmRwI+MV0+Purr5tPh7GCUuHqS4Bja44ZjRszGidUrCjnKrAEve4S5NujUExrVUSmMypRfcmXKQxf9g/p2Mh94XilX/1cdtvYNjXlV3GjGIglkTGrxDbjIDrtNofd7nZonT05bLm7i8KqkQ1FVhTvH/FMAV3kecq+gXmd9uE+d3mRNayV1ZcKMzY6WwXaxeNyVuI9UURPZEIpcffA67vdrhXyydeEjRa2SWuXXAr/y4xo6bJgBY6y6k8FY4lea42k4JXaqfXMpX3vPNiIIgoh4bgH48lwXCuNLyeVC2sb4XMN2ctS5rYcK/vwFvD+1+4Ir31H69golcr0OZ3OWXUFkC1P220xhyNut2MkgcNU7mXtSSRbI/F8KypG2O0e8LplovIyBWaMW6t1Ua1MusUXj7dGojKZX9jtquZe1xCrLxVWdvWlgVhif2ValSpe5aovgfaaHVLzClQkj9M+0i9rgxI1q9rEHVtN3WMXtuCrX5FjBgPB4FNrnl/x0B/14ZHHViOjLmI9WbEhoXD5jlkzD5RGGZfpG1smTLLiIMXLVxBGd1aeJn7xKXONIdj0wVbjEcDw8iuviXBG14YcR6B4+mHEgANrXIU5XKKVnTm4FFJh37/yO3LMYOfubn1F5lXg0OX8lFmZ+ewSebSqEuWvx4OMuIWPF0nhDwvYWb/LUaFDi1cX5OAjiWRfpnvdnQORHfvDH/VF9gS1GhAYdg9EMeXD/eGd/RHth/doIhJPWqwWENF+gdeWIdOklMtR1cIyLhXV9HKqUKwHMtEVreRLPIHrOR6KxjCEo1ohGjFEYtrEcCyOv4p2gjGzlZABPinqT8l0cfAdsZ7BwEKiCS3Csi8cxxf8X/3h3QMRLBa5F+SfjAPmwXR803cORPFNV5K5wsVRzL3L63JgkAml0i3phN0Wd9pDbud+n6en1dvd5usJeHt9HjHs83n2tPowcV9mImbDzFq5CQsXX1SrJeSxUl7GE4+X1/JLedI2ra6WYZDT1bBp0RYMMpmf8vABHWq0F6+mfrPwu7VXWJmoCu3nuuqukaj6alYYbKGpe+wCTjrhuJJqPEHOJk6mmfqlNsoKK4jusXMashJNAQUaoykc2vjeFYtbC/ZOnSWrt+9SFd9GDJg71SoMu7ngwhyBtgK+f+XiIi8Yu83mqcyLtQ5vuV5rZQ3wdKlYLlLSNlJpLRJs83CfuwqxJCGZTkcSKTFUqGgusn97QtE44zIVYLdXr2UZ5FwruK502lnF2ljIvSdTWvAFg6WgY35YcrTolpixDb0R9V8RrDym9a6d6A3HdwejxkFEXZXEYnR4nS+mPBquooDLqbwSUz6pTJhGDAmnXXEMIiNpt+33uRPl1vqxp9P+WMxWmeuwJkIed8TtKrw/2Gt3BXoQo0MH7iFWfrRrCP4Kv2Yb4Wj6FNXEJ6pnNQvKQEk5eeTJz5s3VyaKsHlL7pCEuXEWwRwNOXzKJDl2sHGm9npLctac0/LFVr5ccAex0mW3LC0+kjVgrVmZXbv3yLGCsC/GfpeKt/DC+UVeANjlX//ituJXgdu3u8IBdTde8S2votKNpTmV9hAseJxapyrN9LIRT6a1Fh/YVbZqeCV1VCtzW0x+u2zYEadW3aaWz0rlklpX2UWVNAvFkpHG/3b4ir5f4xantlHzmks47P1erckSmS6RO5FsjWZ3aNi4UjZb0OOODlVepkClHqIhVaUkdI0p7TxzCG5n9TrHIKqhWr5oIptdUp0X5OGROS8Q1NBpS555tEwcLP/07C0x1mYyyhfWKV6++MJZc3LXXdJNmzr59/fdg+MwZFRoXKanJJkoS2vAX/g4469aZ0x3lhAuyYKPY3cKnFDshXbS75T9lBfPjSxUJW/g1vtUBm+Fi3+6nPZKrMDvdgzZNENjiafSveF4E+Q8603mx8KKv0hhBRUNygBW4dEqMVV8X6opmWlvOFWwuZx4pi3tJigmUXyZQVyxAbfTV/lGl6opYbf3e1wRV5mPLa/Wx3bzBClSNlu/x1O4HpMzmcIgE0QlwpuXq7ni+GZOu81drUrKSl65ieqf4oZ+q2bTB1u15mwNVWyQsZ82ZfLYsYXagmkmA8Hg5g+24QiIxl8EHAEch5JCXYXt3N29a1f3zt27jYVutONsrbiQWdc/3zauBas4vGBds8ISqfRerYPkyjTP2dIyfpia1u+wkaHKxAKQFx7mdVWoME4mihGLNlEBb4fNNtLvLr4JnhQb+i0CHi5RFd0/F+Ysq+XaMmBHiq/10xC0QoW4+PJnHnrDWpsvMtGw2j3Odm9p7/Q4x3sGIlF1zals/NqygVffk4maSLe0RePecltLSdlt/V5PzNk8sSp3ItkWjuRrBTndYgt63eEadf1bNWzot7CyG/qFgajWOLpM1EJFG/oV+qOJvkjFn4l4PzqsXc11SFTnGjUoQ1QAruq94XiF6qT4XQ5k4GXCGmxhT6giJcPttpZRfo+7Yj0I4r0HW940reSO8Ln8rhKqZTEoUyTRebNMVEaRB1CJpNYob1G1fuqfLRORKVAtC3envVpXRDLZoJx25Ew8ZdQlwN1tXzAaN5Ukev2NrkkfnzC6o0Omi1PjoIy1iIyQqQblLbt5mrriTKbawxFHwWJiCYdjv8+Tqmhx1lpjUKYwK0EZbMCugUgN759VCMrEk+nugWilH4jt3pKj6kQNqhmer0RZkN+oXCNkClvPdalomyYnh82GhctEBbgd9g4fHvrN8MI6zOvC1dIUu1J3CpTCUELrTLqKuSZtdVpjAQ1/rWTKyGiFZGTaBO/ZfdEad+lqHU5Umwe32HLOF25xw/0H2jXv7ul5cOUfr/zBdXf879/832eeExMbhM0fT1iMyIAzmWrTAhkNfk2IHYkMEZEBRzLpSSqOI1hnS7e4E3W3VWSWqd3T5DksvDe5K9U5oYTHe4V6xCOqQwzKUHOq0OMQD1o8h2TCMjxvKhQ68VU+yuB22jv8+KeB7yE4RMO8LmTbmiCbXZ+Qpy2Q87cO36BqnjusyeVwOKvb27dy2l5oEZlCxw0nrsPvafS2FT0Ou5UXeo/T4ben/vbyKz+64T+u/MHSJ59+rrtnL6a//o8uMUMjsPniCb+iOmjOVKo9FMK/Mt2AnMlUayRaTHsxH7/ugjn7Hjpu839+atNv5KRyTf/91VgIBozISWXSzqanip2UkxWV7syhHlS6tRe8Yjb0SyZRSXitU3NClsNbgco7eDwo/GVe+726Mj+8V6ctXjwvh3tdFSrsU2k47nifCLCfxQpzaX2/V+oKqWjEJx+Xw46dwvUj0w1Fu+dktl6m88P3uiPgwRekQffUoX3BcfGVufEvv/Laz++69ytfv+Q3/3n/f2/bLqdmdPfsff2NBojL2NItWkQmqrJPa2cq3RaOuhqzQTGtHZlIxJUsNqiBK3+EobRUzbkTCZ92NmWS6hxekDzNXljG47Qr/J0yC96NPVrZVJkkanoMylDTClTgZwo8ftS+ouGRpvxLiGxUResuGXldWnkZvHzIdIPAKRzudbY2bIazgeAIV6gwix1qdPpcDkdFg00VghOBzS4+kuW024Z5XSO8zsq9dlcINne4z+UpvarpQDB47/3Lv/6ty67/j9ufWvM8ptjTSUcqZk8fFIb4/61/U47VK2TdW6PxQDRuV52Hdya10Ia70cpreOMJbHYxZWSMPA5bnQTute0PR/O1TEx1yGGzaWWWZappVeJNW7BrdZeYS6VDCC93alpe1UU4kANUXgIF26j8hwB/dV8iXZn2ZRqon2y8Ko0KeLSqV4zIVIUWvqgAXHgVCvcUw2G3eytdn14pHCyvVkamtIe+dtNzO8e0elvLbfCy+nBRjPC7yrsjPfrY6kceW23sbRDs6ZQzEbOnDoQhXnj5lWAoJBP1x5ZuaYtoLfsqLCNj5NDqMUUaqJ9sXzwRiETspTeIgztMm8dV85JBjmQqEIkxItNwcBdS/R5adzyuSpVmwaGr2u+LRPWAlzs1LbxOqW0hDM8dl+pyLcjzqP0pBRmSCrWnUwAeySN8WuMsFXo2q4KDg0uiI1BC79dkXaZEi+ILA0usSd0lI+0O48ZLIy76Or/sbc5Ml1tlnwV8bLjXNcrvxr0FR15OrUs4GdhUX1nNsQ8Eg48+/qRMZEs7U3FH8kCY4/U36rOwjM2ZTA8PRz0Vbg7W1pIORGOtkWidN/2LzdO2U+v9Wk4pFa6o1tKL2Cjk1oomsYxMQ8Ib0XCfu75fi6zCC2yFXqga6JcAIiUcP/nJT+QoUdNJpdIRdb9xtXpclWinBpmckLreuz0Oe6AWZUC0DKrT4XLYUum0kt4olRNtTLR7XdYja9i9hKJ3dGRytUx9EZK4muWoJbg2nNUN2+HaQIZCbceZTkcJ1XAqB7sm+mPCvqXrMtdka7G5nHaXU0Fr1rhsfIM/itbtd3y41plamTv7+P995u+vviYTuSBjbMeFjIXb7Ht69p5x2snyD0PpeXRt7MMemagYbJ4vnmiNxqsTKMEhdiVTWrTCZkvgy1j6Ifcd83Hv1HHuCaMcwwKJ7v2Y4mj3j/gfxw3//Ky2E45M9kfERF3r8Ud2fOUz+JN7/KhkfzjZl7ewEpY56rzPjD71mPEnHtkxY2I6Go/v6pV/yyPQOWX45z/Z8YXjh506E0P7KTM9k8aIP/3rppXuZCppt2PANmDhGLDXWRuAjQ/Mmir+is3DSsX0jvM+456g9aGOa6Dn0b+LiUbig8PP/CT+tXlcxiV7tFpXMafhhCYd9qhLTWbVk0gWaLY5ZbdF3GqacS28ovLg7IxZcLpMGCTT6XA8qeQb4HE6rIcbtNLQNntUzRaVADfqylUsMsLNFg/3WELx8w/bP8znsv7YImogeFeu8o2CqHpiiVRPKIaHtExbM7bVU6GylP/qC6t6Yre6ncO8eJLJZPVhR0LxRG+4vkq249VqmMfpVtSdOV5BIoqK7rudWkc4MpEfLmFkK5TENRyZQhMyUS2JZCqm7qd7vKhhF+qqyAaepPFEEi/eaS1kVy9wrnGBKT9OmVfw1P6IdkXKSXXA7bCP8LmtFDz8+rcuy6q4NG7M6KwpgH1O25xJh/MXP7tpdIeW2R7Sxq8tG3j1PZmoDEeqpS3Tr1D1vxVYZczpGvB60iWue/rvr249fjpGBl7duHnxLyf8+IKOL58o/iSE3tn+/teWJftCY75xxrgrznG2++UfMrZ+/3d7TTEO3zEfn3jt+Vhsu8fZivv+4CZFt+3etOievhc3yLTByHmzsepA5xSZNlnr+TL+Tdls/T7PzK33i4kf3f34R3c+LsaF1uOPnP77JWLceMaNu7nxa7eLiYKj3W/ea8Cc237wO8fmj/yxeFYdtKjL2efzyIQ1beGYN573QRZ32HsDPpmwpj0c9VjulD1L+ykzZzx9o0wYxJKpvSHcnxTcmtq9LlxFMmFNMJbYH8FGVe+G6XbYxrR6ZaLC8ODbE4zFlZYma/c52yvctRNRvan9L41EleNw2A68lFnjqmTruX5FP2hgV2veUgqOd6vbOa7N469YTePiYfU4HsO8zlF+j6qIDJVBFCeRCcvqsAoN9s7tcmoXWQXqapVBC705nZkqS3KKQthDr8sxps07wlcXFZpEIbhRAY+ViMxTa57X4y+HT5m8+JKFf/4/D4wdM1pMMcI67OmEKxl7ds1zNb/FYXOcqTSy7iODYVctIjJgT7cgbz9yYMAXj5fRbgu4J3TMeP5Wc2zCf/TESbd946jHr5vw4/OzIjIw+Wff0EqsGIz88mdmPH7d6JOOGtvqaT+4VTnPpDHIw4++KLtsxeTbLz5y1Q8LRGR09nS6PRQ1Bnos8h3z8Zx7DcNPPPKEv944ctzwCrUKRFUWcDurWb8bq6lmT9LYL+XV8P1V/+mIqOYYlKFmhpd1l6IKR75KtkISwANNxRMt82isiy81XgiQYRvpc+NdRNk7bImQXRzmc41u9bR5all0iEDhO6LNppUGr4fAhxk2y+NyujJVq2q1fbgJuJ0Ord/rCt8KsIMBt2N0wDPC52p1O1212GPcW7DqjoB7mNfq+h99/MnWQOC8eXN//YvbMGBk85ZtXRveln82S6feeO21Dr+3NVNqS06sKpsrmQ5E4+3hWCBa2RZkimFPtwTC0WFhrQHgUuuquMd3iJjLwKsbMRireg0/c5b/6IkYwUTxVzFd6DjvQETDM75j+k8uxNU4wu/CE7X7wed23LwSQ9+Lb8k5MiEYvVISjJw3+7DLz5GJlpa9j60TH8EQ7NoipxrYWtLDvS4817wq8qCTbluoR5p23Pxw16e+i2HX3Y/joTnS7x42um3idReIv1ITaPM4tSsHN4sK3y3w5jPc58Yg01WBtyw5poK3evErojpSF/k3osrxqLi3i1+GZaIC8ABS8os2Hvf10x8MdsjjxMuBq8PvQZapavkWrBfvPR1+N7JqyLCpCXeRZU6Hqm9QunYRj6Lg64zrzuNGzhBXX/U2FUfY43RmKsQp/dWyIOyfz+XAF7wj4MGXzo8MQVV2Gatp9zjFvQXrlFMtWPDVr/z5/zyw+JKFh0+ZLKb89dkXxIgwbsxo/FUmMnbu7n7n3XeH+XCr8SILpLwZ+AJcyVR7JNYWifpjcYfq1jrKhhPvTCYD2LBQWKtLVfSGJfpCH939eNenvrvxa7dj2HDqj3qfXi//1tKC8Q2nXYOJ4q/vzLtZ/qGlxXeUFq/RRuLxTyyZN2pcuw+nwWZ7b/5PNy26e/tNKzG8deZ1O25eKWZzDg8YIx3///buBbqq+l70fUKStfJYCZCXoSGbl6GAXBf2Fgrbhodhk0sOsHkI0jEktLLtLrc23gPt2C22nqNV2jO68QzRc+mpWyvo2FulggVOGLAJgpGC4qgsrwol8joQiZBQNnmRBMj9rfn/ZzKz1kpYSVbW8/sZc8T/b67/nPO/5kpC5s//Y+Q/P6IKN642fTJlrRylDpHtrzs/VC95kz8GhiYnDYnr6M/sv2aySVx45q1Lr+67ea054Upj06+2tv3hffUtnbNiljRY1UEUkL+IhqbYBrvHwQ/IL8nkxIRs4y+fNPfvYb0zOJIS4u2BW75ablRw/h0BwgpJGUS5gDwjJA7AwtVddHTYAzG4Rv5JDrceBNIa+dc63Z6Yl56ck2aXv5gD8YH4IOeUj8lhS7jLkZztvpD7gVi/FmgBvcnB7p0eqm8QuW5CIJ5aB8VHwJ9r8h0ijUxKTJBHdXui8WM5AE2WU7pPHO/uGpNqt8nXwA4T859cU3765IcuM8WWl26XBwP36MV4dzo7gM2RM8kJbQnxxlWS3ZN2B+4X3v1TJ+uSofbS5T2VB3RgmPPAjJLiGTroNGbUCLm+PGM57El3ZaTkOpJTjdmOBuQz6IgbdKsj+cbNoU3XhzS7J+kIz5WP4t0rVXUkt7UPbWwe2tRiv2EsWdVjS68fv3Dx+Z3WeXOtk8VcerWy7UKdDuLiWj7/383Hz8s9lvucPDjVcb0tq6FpiD3xaytmyR6pcPm1d6/s6JJSOf/LN1vPXVLljOn3qELmgilmr5naF3f57BrTHfk5S46LG9LUktFizOPjfne9+8wH/919uhQX99dtf7LduDWk+frg5pakGzev7vhAvxAXl3qvr3FVcrmAbHfkUb+v24D8OHRPLheQzT2XW6DJd45D/hxyJA9JCcy8aHIG+eM0LSlBfiVmp7n7cA3cXz49cwRoGL7cFttA9kwHwhbf94hy8k+gPB6kyNNRPzY5Q1/WlvCb/H0p/5Qme123t9uAdufpP7u7A4tdnlsyU23p9kR5hLMluHM0+uXek6c+OaecR80okeuwD0lxT6qjXx4wcgF7knvCjv5vg/zLU8hfWe4pSwKxBa7HSq8luj/u/m7yN6c+XYRISBhktyUlJ9nUzZe30M+HdvU4KqeSTc6ZYgxV0q+FAfejclKC/IzfJQ8JqUmD7UlptkT57SQ/7L19CJHK7j/QE+LlcPmLf2hKUq7D5k58yC5dZaC89sYfdMngSEtbvKBUvlpzNyXFM2WPDgy2xITMNPtd6SlZacnp9iR57HL/iuv7px0/qMPdHUOe2FPbbgy+3jq0+Xp6S5e1eMJc4s2bGc3XMxubM667hzXZbt40Uhh3bv+Nay26ZNXhXuI66cYtW1NLhj1BHkFzbAkpbW1yl6zJi/846GM2X3MQk31Erup+Yp1H5tKWd3WpN+RztbffGNrUMqS5Ja21zX7rlvq4/fn5ThmeJZWTEwclfvHlsDF5w795d9bfjs+Y3mXVJzF4hk4hmZJu3Bzccj0gm63HydcTbt3yqN/nLfFGwNaXvCP5jWH0z7X1f5M//PRJA02+QeQXmvyGzEqzZyTLLwr3Mk/Scn/+eJE/maSm3VgLT/7ykXbmpacMTQ3GXz49M/qo6XJ/yJ9Fwex1CIQPvu8R/Qan2ORfrP5s8lARkH9semBPiM9MTfK4bm+3kP+r7A95nJI/JgYnJ8kjljy5yZ8U2Wn2IcnuaSmMNE18kvE3h67dSXbKJn+IyLuUmlLf+LPJ7p65JtU9o0SQ+7ta0wT92fxvs9T0OLZvWzDvkge5upkb6vMmb0CfLqLIXZe3Lw/t7k2e1Y33kuROrAySTT4U2Tye5SRU++VDS3BPNC7HJqrpe91nSExIkiND92nekbRNGumwu5MpQ1PdP+zWn3f5mZUf5FRbgseWZnP/chhsPGyoLVN+zFNt8qAlP/uBmpmoZ41NTYeOdFkbu6R4hsq/zJl1u7PMiuUP6lJX8qkky684+dWUZs9MS5avQ27cdLS2p7TfdK8NfKMj4aZ707UVI90gOxNvdthu3FQrWw9uac1oac+4LltbWmu77catQRGTjeliUEeHXd7R9db05uvp1+UpvSW9pVXeUUqCu3eV+xe+fBd3fWvyNKx+5ycnDkq+dSu11T1WSw7MkGOvXx+a6H4clX8szG//NKcedCZaz3kumCXMnjJCZXAypk9UobC+2geJN90tHHzjpvoOz0pJyrhx0/0G22/Yb9xISYxX39vuQlt7mnygLa0jH/g/1L+Aef/nmEl7n5r470/d8+9Pq80cVOWT3Ez5DgnIJqfSJ/VFvtk86vd56/lCgSW/duzG/6Dq/ya/X/VJB4Z888q3d4Yx14z8JaN+3cmvR/nGcP8O9NqkmryqqsmvRPWXj7QzTP5JbGhtD8jnnOruAKnLQEwhKYPoJ7/e5R+t/mxB+Bei8wHM89K92iKLvN9E9/8Gd//fQnlyU/93K9eRfFd6cl56cn5Gl012ypbjsGemJElNqe/O4Bj/c4l/vhFB1E+6SpAluXM07llgkm1JsqV03ZKT9H4p2BMTpbK7q1FnBkefLkLc/mGXpx3j510equUHWR4zPDZ5OJGX0o3/eyyV5YlDDgzyL7dtOyoam5p0YFg0v1QV7p86WWVnpJDna20mK2m1NF4eEe23OlLabjiut2W0tA1tuZ7Z7N6yG1pub40tmU3unUObrw9uaXNcb5f68jSbdPNmwi2/upZEBHk4T7x5K+nGreT29tTW1qFJg7JSk+5Kt+faE7IbGrOv3d6yWltlv2zZabbB7e1prW3Jbe1yQ+Rw9w3x+n4Ih7lX5GNyf5Mnur/JU27eTG1tc7S0ZjS3Dk10D+tzf28nJqRdb0tta7O335CfBfne5p8vCPkukO8c+X5wp5MSB6mlmry3VJv7VfWdI/UH6Fvn5q2OPiwo3tJ+o6ktMP2hklkoE7GKpAyAcCTPrlZ6LxDV9Ld7J70XwbVt525dMpQUz7TmX9TMMos70zR9Jp+udYtxHndDtl65frYXXV2aP3FPH3Pj6u28WwhzOk2uM5/93ZPdbX0bVwX0WUv7za8arv+1pb31xq1b/qWD227eunY9MAvAZSQPeLd0IGyRlAEAAHDbU3nAo5vM4vlzdckw54EZzokTZNMxwkDzJ2d1yZjBV5cshs7XO29cbVLpGJWaUTI6Z/8NGnOOm8Qhadfe+7S7rZ/jqoBeudXRcf3GzY6OuKbWG/VNrVea2xrbbrR3v8qY1Gxpv3m1pb3dYzxmnwwaFJ8WoNmCgUhEUgYAAMDNY4pf58QJ5iLZioT/9z90WRsbIdfkOmP2fPFeSTpj+kRzWl9zrWvrckvDf/5QbzvLWKekEXK4z2RQd8yr20fkSoNVGQitthu3Wm/o9Mqtjrjr7bf+o6W9rqntUkPrtdYb8upNY2STfJVyY9uNy03X/9rcLmV1SD8lJw4KlwlygFAgKQMAABB36MjR2ktdpokt+85SXbLwSNMgHNS+uEsVEoek3fvhhpwVs9RiRgW/eOjrW/9JvSTO//JNVbiy40OzH0qac9SEvU+rQ+Tr17f+dPjPH1IveTB7uGRMv0eqycmN8//0vr/8dtiP5qmX/HHxBd1acfe//Ei2zAVTVINVG0b+8yO9OiHQfw2tNzq6DlmSyJ2CuXnrWkv7pcbWi9euX7jaIl+lfNWdjunwc4jTHcXHx6Um0U0GMY2kDAAAQNy2nRW6ZMjLzWGYUqQ4/8s3rete3/0vP1KLGVl7wXzxDy9YBwT9Zel/M/vXpDlHqUNUfkTt9HbtvdvrbUs1OblsUuhtRxtpxoVndHpIqEyQarBqw7Afzctc8C39MjDwrru7yQSmz0sfJCUMSnIvwwbELpIyAAAg1rk+/Vw2HRi6W/Qa4ekvS39t7YFi1Xrukrx6+bUu8+Y2uc78Zel/85635cbVJjO/40HObx33ZJIzy/l14J/zv3zz7I9fMbNC3oI/0w1iVkdH3LXr7ToIuvh49+L3LIWNGBfv0VENAAAg1vxm46Y9lQd0YHSTef2lF3XQP5/93ZPWHhZQclbMSh6ZK4XrZy95pEvsI3Jzy/RMK5e2vOuRN+nhQCHHZi6YYnYzaXKdkZt/ZYeeSsYnOeHgGRPlQClf2fGBnDP13lGDZ+iciDniSUkckib11fmN9I375NLC7trcc2vlbEPnT0lzjjJnvZFzNn9yRipfe+8z74QRlIzpE+/596d1gH5rvXHrSnObmjIm+BIGxec67EwogxhHUgYAAMS02kuXH370MR0YypY/6HNCmT4gKQMEFkmZAJLnwKst7U2tgVnWug8ykhMzkpN0AMQqhi8BAICY5rHokiMtbfGCUh0AQPS6cavjevtNHQRd4qB4h52MDEBSBgAAxLDGpqZDR47qwFBSPMOR1rupWwEgEl1vvxmqgUticEoS45YAQVIGAADErm07Khqbusy3umg+3WQARL9bHXENoZviNzkpwZbAoyjgxk8CAACIXdt27tYlQ0nxzLzcHB0AQPRqaG0PVS+ZhEHxDlsC8/sCCkkZAAAQo/ZUHvDoJrN4/lxdAoDodfNWR3NbyGaTSbUl2BN5DgU0fhgAAECM8pji1zlxwphRI3UAANGrqe1GqGaTSUqIz7AnxcfTTQbQSMoAAIBYdOjI0dpLl3VgCNQy2AAQzm52dFy/cUsHwZWUEJ+ZaiMhA1iRlAEAALFo284KXTLk5eY4J07QAQBEr9b2m+03Q5CUSRgUn5GclMT8vkBX/EgAAICY4/r0c9l0YFix/EFdAoDo1dHR0dR+syPoQ5fi4+MykhNTkhJ0DKATSRkAABBz9u4/qEuGvNyckuKZOgCAqDYoPl42HQRFwqD4ISlJabZEHQOwICkDAABiS+2ly3sqD+jAMOeBGboEAFEtPj5+SHLSkJREW7DWP5ILDSUjA3SPpAwAAIgtHosuOdLSFi8o1QEARLuEQfGptsScNHum/GfQwHaZSUkalJVqS2bUEtA9kjIAACCGNDY1HTpyVAeGkuIZjrQ0HQBAbIiPj0u1JdyVnpyVZkuxJSQOig/gMtVysuSkQXLmrDR7wgDnfYBIR1IGAADEkG07KhqbmnRgWDSfbjIAYlR8fFxKUkJmSlJWmm1wcmKqLSEpoV/JmcRB8Wm2xKGpSZmpdqb1BfxBUgYAAMSQbTt365KhpHhmXm6ODgAgJsXHxyclDHLYE4ekJGU77DkO98imNHuikaC5c4ZGqtgTB6UnJ8mBOen2IalJKXI6+scA/iEpAwAAYsWeygMe3WQWz5+rSwAQ8wbFxyfEx9sSBqXaEoamJN2Vnpw/OHn4kJSet/zBKTkO++DkRHvioP71swFiEUkZAAAQKzym+HVOnDBm1EgdAAAABB1JGQAAEBMOHTlae+myDgxl31mqSwAAAKFAUgYAAMSEbTsrdMmQl5vjnDhBBwAAAKFAUgYAAEQ/16efy6YDw4rlD+oSAABAiJCUAQAA0W/v/oO6ZMjLzSkpnqkDAACAECEpAwAAolztpct7Kg/owDDngRm6BAAAEDokZQAAQJTzWHTJkZa2eEGpDgAAAEInvqOjQxcBAACiTmNT08OP/ki+6jgubsmC0tWrVupggJ398StNrrM6ANBvac6RI//5ER0AQOQjKQMAAKLZln/buqVrT5nXX3oxLzdHBwAAAKHD8CUAABDNtu3crUuGkuKZZGQAAECYICkDAACi1p7KA9aBS2Lx/Lm6BAAAEGokZQAAQNTymOLXOXHCmFEjdQAAABBqJGUAAEB0OnTkaO2lyzowlH1nqS4BAACEAZIyAAAgOm3bWaFLhrzcHOfECToAAAAIAyRlAABAFHJ9+rlsOjCsWP6gLgEAAIQHkjIAACAK7d1/UJcMebk5JcUzdQAAABAeSMoAAIBoU3vp8p7KAzowzHlghi4BAACEDZIyAAAg2ngsuuRIS1u8oFQHAAAAYYOkDAAAiCqNTU2HjhzVgaGkeIYjLU0HAAAAYYOkDAAAiCrbdlQ0NjXpwLBoPt1kAABAOCIpAwAAosq2nbt1yVBSPDMvN0cHAAAA4YSkDAAAiB57Kg94dJNZPH+uLgEAAIQZkjIAACB6eEzx65w4YcyokToAAAAIMyRlAABAlDh05Gjtpcs6MJR9Z6kuAQAAhJ/4jo4OXeyr1vYbt/p9EgCmQfHx9qREHaCXWtva6uqv6ABAIGRnZdptNh2Et7VPPOX69HMdxMXl5ea8/tKLOgAAAAg/AUjKfFl/taWtXQcA+i3FlvS1rCE6QC/VXKx9p2KvDgAEwsLSOfnD8nQQxlyffr72iad0YPhJ+eqS4pk6AAAACD8MXwIAANFg7/6DumTIy80hIwMAAMIcPWWAsENPmf6gpwwQcBHRU6b20uWHH31MB4ay5Q+Gw4QyVWtfqHNV6wBAv2U7C4s2/EgHABD5SMoAYYekTH+QlAECLiKSMr/ZuGlP5QEdxMU50tJef+kF+arj0Nk+u7zm4Mc6ANBv+TPuW7Rvow4AIPIxfAkAAES2xqamQ0eO6sBQUjwjHDIyAAAAPSMpAwAAItu2HRWNTU06MCyaX6pLAAAAYYykDAAAiGzbdu7WJUNJ8cy83BwdAAAAhDGSMgAAIILtqTzg0U1m8fy5ugQAABDeSMoAAIAI9tobf9Alg3PihDGjRuoAAAAgvJGUAQAAkerQkaO1ly7rwBAOy2ADAAD4iaQMAACIVNt2VuiSIS83xzlxgg4AAADCHkkZAAAQkVyffi6bDgwrlj+oSwAAAJGApAwAAIhIe/cf1CVDXm5OSfFMHQAAAEQCkjIAACDy1F66vKfygA4Mcx6YoUsAAAARIr6jo0MX++rL+qstbe06ANBvKbakr2UN0QF6qeZi7TsVe3UAIBAWls7JH5anA/+cOnO2salZBwNj286KQ0eO6iAuzpGW9vpLL8hXHYeN7bPLaw5+rAMA/ZY/475F+zbqAAAiH0kZIOyQlOkPkjJAwPUhKbP2iac8ZnsZaEsWlK5etVIH4YSkDBBYJGUARBmGLwEAgIi3aH6pLgEAAEQOkjIAACCylRTPzMvN0QEAAEDkICkTMPX1V3btqvC5nTxZLa/qegAAIKAWz5+rSwAAABGFOWUC5uTJ6g3PPa8DX1JTU5xO5/x5pVlZmXoX4AtzyvQHc8oAAdeHOWU2vbz5i9NndTDA8u7K/Un5ah2EH+aUAQKLOWUARBmSMgFzx6SMaf680nnzGPqObpGU6Q+SMkDA9SEpAxNJGSCwSMoAiDIMXxoQY8cWzp9Xam4S6hcMO3dVvLr5dR0AALqRPyzvh6vK1EZSAAAAANGHpMyA+PrYwnlGdxi1rV3z+H//77+Zb+kdc/jwkV27KnTQvZMnq2XTQVf19VfUq91V6I46sFdz3Jy/cEEOaW5p0XGPpJr/lRV1iFxFxwAGWHZW5sLSErWNKxyj9wIAAAAILoYvBcxJy/Cl+d0MUDp8+INXN7+myqmpKc8++3RqSooK5Vg5gxTGji1cu+bxXbsqKve/29zsTm0UF89atnSJUctNTiIvnT/fJYUxadK9csWC4cN1bLA2afXq7184f8E8p8jKyvrbad/yaKdcd2dntmj9s09L+fDhIyoUBQXDpf4k5706tqivvyKVXS6XeX7hs1X/+IPHVEHu0gPFs956623zEtJInyePNQxf6g+GL/kjf1jewtI5qnz0Y9eHf3apcrixtlM+VvlwVRlBxvCl/mD4EhBYDF8CEGXoKRNU06Z9a9q0qarc3NxizXeYWlpannn21zt3VViyJ3pi4OaWlg3PPf/q5tc8MjLi2LFPnnnm14cPf6BjL5s3v2Y9p6ivr5c9m377Ox17eebZX3m0UK67adPvKve/q+NOcl1V2Xp+0XOrzl+48MQTT1ovwRTIAAAAAIDYQVIm2IqLZ+qSkbPQJYvz5y+onEtBwfCxYwvlq9nTZPPm11RvGpGamiKvypaVlaX2CHe+pptBQCpdos4px6qdQtrQ3UAqdYi6itqjvPXW22YzhFxRrqsqy5mXLVuyds3j8+eVmld5a+sffI5mkktbLyFvxKNPDQAAAAAAUSzhv/7X/6qLfdXQcv3GzVs6iGH19VfMLiFf90pkmAZnZOzf/257+w0jii8unmUU3J1NzHle5NjVq78/f17p306bOn36t1Xa5eTJ6u3bd5gV/umffjxj+relgpwh3nhVvVRb+5XsVGVrk+Rscs7iB2bJq/9XyZzU1JTPPjuuXpJqZjPkPOappP6j//A9qa+ucu1aw4XbGZ/4SZP0OKN//dc35KJSkHOuWfP4JKdTGiwtHD1qlLq6vNnBgzMkNKq7R0ipgpDTPvoPj8hXdQm9N+YlJSSkpybrAL3U0Nh4ovqUDtCNjHSHOZXMl7Vf1Vx0/wj7Y9SIgrFjRuUPy5PNZrO1tFy/efOmfs1LdlbmXbnZZn35vdHW1tZDfZHucOQPu8s8RDY5iXpJPlb5cFXZyqh21+iRfyPnt9ttPlPAUkfesmxSljbIV/VGsjMzm1uuqz3ogXy3qLuHPjixZXfDOUbeAQGTMXLY+LK5OgCAyEdPmRAY3tkfpL6+XhWsCgqGr13zuHefEXPQUGpqyurV3zcnoxHzLAs8nexmkl2pYD2k+IFZ5iHSDJ/9a6zTu8ixy5YtMTu/uFx6Bgq5ltnfx+l0Wpst5zd78fjsE1RszJXDkCUgIkz5hvMfViwvnT1r8n1OtUlZ9nx76mS7zaYrGSQsnn6/vPTQwnnW+gtL58hOecmjvpKdlSmVyx5abD2k50mIVZPktHJOdX65opwh32v2E3lJbePHjpFXzatI48k1AAAAIIRIyoSdFEvqxMrMa3ikVxSz34q44DXjjE9mhxpx4XyNLnVPLup0OlW5ublF9euxXsvaBsVMuFi62Nzm/S4AhCG7zfbQwnmT73P6TKY47xm/sHSO9aXWtrZRIwp8VhbjCscUT79fB51kp5xEjtLxnfTQpHSHo4dTjfqbAnlV6ug4Lu5ag4/eNwAAAEBwkJQJJbPjyR2ZI5uEz4lXrDvN8Uc9s3ZR8dlnx5s5jkCoQ6xdbDZt+t0//uAx62a2RM0dAyASTf6G0/zZb2hsPPqxSzbXZ8dbO0f9yKtSR5WVM+fOy6s1F7+Saqq+7NGvGUOHrMmUdIfD2t2mrv6KOsTjKCtrk05Un9ry5rb/8fKWyvcOmU0qmjpZFTyoo8x30d2QKAAAACA4SMqEgJmqMMcx3ZGfSZPgayHbAkS1dIfDec94Va65+NWb23d9+Gf3EtrvHzn62pvbzCSI1LF2P5FX/+W1N96p2CMFVb9i37tHP7698LY1wzvlG7c7vFS+d+jNd/QlZHN1Tn1lJZXNJp05d14OUYmVE9Wn5HJqvzTGZ2cZabC0ZMub29T55Vj9AgAAABAKJGWCzbo+dEGBv0mZFL/71Ajrekw9sPa+Ge5fS+p6PGTatKnz55V2t+lKACKKc6JOfwhrVxQhZTMJIvKH3aVLxku6ZOFzOmG7zWZOHCMV/Jmk2ZptOV79hS4ZrD1rcix5H9Mnnx3vrvcNAAAAEHwkZYKquaXFnK9XTJv2LV26E+voJJ+T8lp3+jl17l8so5z8PMTs45OamqJmhLGmZiZNunfevNLuNl0JQETJztS/HBoaG71H+ljzLNbOLybZaayOZKyjlDlU77WwHnWia4alO9apedva2s3zuy9hOdvX8jyn+wUAAADCDUmZ4Gluadm06XfnO2fGnTTpXp+zw3THXCzp2LFPrJ1clMrKA6qQmppi1uyBnMFcQSkrK8uflhxzyXX1KCpzxl/rgYcPH9ElANEiO0tnUq41NKmClTVNY6ZvRLaxlNIPV5U9tHDews6Vj77ta54Xa/+ahkYfl/BmzbaYJzc3/QIAAAAQCUjKDIi6+isnT1ab2+HDH7y6+fX//J9/YvY0ycrKWrlyhSr7ybpY0qbf/s48VX39FQnNdEnxA7NUoQdyrBxiTr7rz9gieQubN7+mA8shWVmZ1myRnNajI49cy9o5CEBksc7I66f8YXkPLZzn/1JKAAAAQMyK7+jo0MW++rL+aktbuw5i2MmT1Ruee14HPSooGL5y5cMenVPkWJVnGTu2cO2ax9VOD5t++ztzYWyf5Mxr1jxuLjXt0SSVPamvv2KdNnjatKnfXfmwDuLidu2q2LmrQpVTU1PUVMQXLlywLp/03ZUrrAOvzl+48Mwzv9ZBN+Qdmbmbf/zBY6own2FN3UixJX0ta4gO0Es1F2vfqdirA3Qjf1ie2ank6MfuKW9V2VvZQ4vVDL41F796p2KP2mn1w1VlquD67LiaYsY8pLWtrfK9Q19e/EpNMWO9qHxG8klJwXnPeLMHTcW+dz0mfPF5yMLSErN/TQ+ftVzUnAbLbGTPbxbdkU9BPgsdoJe2zy6vOfixDgD0W/6M+xbt26gDAIh89JQJqqysrPnzSn/+xE97NXDJtHLlikmT7tWBl7FjC60ZGW8njW471oxMcfEsa0bGQ3NzizrEzMikpqZ4ZGSEvJfVq7/f8/LePufBARD+6ur/qgr5w+7y7jVj7Q7T0OAeypTucJjLML1/5OgZY21sFfpUd0WfX/j52P9lrTs1o1xraKy5WOtzs05MDgAAAIQnkjIBk2JM5uJzKy6etWzZkp///Kfrn32qu74hBQXDVeUelmRKTUlZ/YPvr13z+LRpU80kSFZWloSyU7YeMjImNemMNGn9s08vW7pE7+2RXEIOkbfw7LNP+5yceJLzXnlJKkg1a3ZGvan580ondc5BI2SP2uS0ehdiRmNTk+vTz7032a9rIMzUGJ1TFOtKTIrzngm6FBd32ujkYp2F1585Yqypk3GFY3zOFuzhsuWQKd+4/bsF6INTZ856/DqSrfbSZf0ywk+2szB/xn2ySUHvCpYpTz7yWHuV2qQBei8AAP3D8KVoZh2+ZB1A1APr8KX/+dsXVQFBFsXDlxqbmtY+8bQ8Bem405hRIzc8+6QjLU3H/VDD8CU/WIcF1Vz8ytr3xHStofFE9Sm7zbbiocVmHxnZo1atttmSnPdMMIcRyc7K9w5JId3hKHtosdpZV3+lYt+BhsZG9xpMeXc5J443O9FYhxEVT7/fXBW7ta3t6J9ddVf+KucfPeJvRo0oMC9tDl8S5ggpYSyk/YWZAJIDc7Iy5VXVHuWHDF/qnygevrSn8sBvNm7SQSf5XSS/keT3ko77h+FLgbVo30aVEJG7KvdW7QyOKU8+MuUX31NlPtYQYvgSgChDTxkAwdPdo86pM2fXPvE0/WVCIn/YXZPvc3pv4wrvlldb29p279OLu4lxhWPk+Vy20tmzzIxMXf0VNZuMaGhsNNfJzs7KLHto8Q+NNZi+PXWymUYRcv6FpSWqLMea/WXsNpvUVOeXa3kPmFIq3/uTLhntL55+v2qVOtBovM7yAD0rKZ75k/LVOujUXfoYASdP12bfE49t5RdbZ7+8LvjdYQAACDKSMgCCirxMxFGdj6yrX1udqD4lr1onjnn/g6PelaVC5XuHXJ8d17Flahh5qWLfATOVY+Ux76+p5yYpTEwLP5GXCU/pI/LGlc1d/tErRRuC2h2mBzUHP/7wl79XW8PZi3ovAAD9w/ClaMbwpQgVC6svDdw4JoYv+SPd4Rg/9g59SdTwJR0YRo0oGD3ib1SHl7a2NrnVp8+d95kZsdtsqrLNZqu7cqWu/oo5468aymS322oufmUOR1Lyh+XJUdmZ7mll5CjXp+4MjtnO4ydPeV9L6udkZX4t73b+5cva2tbWtprar6yz1ZhTz3hfFP5YGAOrLw3cOCbGufTAz3Eoro1bq9bqaiEcvoQwwfAlAFGGpEw0IykToWJkSewBysuQlAECLhaSMmKA8jIkZXpgfbp290B5+hVVtg9xOMuXmRO4iC13L712zp1RJSkDkjIAogxJmWh2/sKFt956W5WXLVvizzrchw9/8KfDR1R57ZrHVQFB1oekTGNT06kz53QQORobm+QRyHvIUn/yMiRlgIDrQ1Lm1JmzjU3NOogce/cf3FN5exIlpZ95GZIyPeguKaNYJ9atWrvRtXGrFLpLykhlVZD9Hjc8Y0TeuJV67csTmytUcsekXs2fPkmFda4v5PDW/7jdL6/1amOdq1oKcl11aWE9j8el7UMcoxcUSc30Ee6fmoZztcc2blVn8JDtLBz990XWS187d/HMH6s8WggP1m8bAIgCJGWAsNOHpIzr08/XPvGUDqJCn/MyJGWAgOtDUkZ+I8nvJR1Evv7kZUjK9MD6dO2dlMkYkVf2hTsRI07vqKpYsk4K3SVlHmuvUgXv81iv4vFxWPM+3TEv1N3qS9ZLt15tmPKLR+xDbs9rrlSuWn98y24dGIo2lDvLl+rAovVq40s5c3UAX0jKAIgyTPQLIBwx7y+A8NHdcEsMKGuHEftgzzRH/1mTLHWu6hqvLja9JWcr2lDunZER3+66v7uMjKh5jxQeAMQWkjIAwpQ8/7j+v+j5P+0AIlpjU9P/+y+bdYCgsGYxrOOJAiJjRJ6Zkalctf6Nbz6yfXa5bFJovaqvdWLLbtlTtfYFFfqpxrJIk3kqeS/m8t5SNjMyda7qiiXr1KVlk0PO/FH3uwEAxAiSMgDC1E/KV98/dbIOACCkxowa+dS6H+sAQeEsX6ZLcXEBT1WoMVCi4VytdWBRnav6zA59LdsQR83Bj31OB+PT6R1VW+5e6s6tPP2K2ipXrdevWa5oZmdE1doX5CjVScedzXn6FY9RTgCAqMecMgPl1c2vf31s4bRp39IxLA4f/uAvJ6u/u/JhHaOrPswpc+rM2Qj9X7hfXbpce+myDix+Ur66pHimDnqDOWWAgOvDnDKbXt78xemIHOzjcyqc/sw+Lo/o8rCtA3RlnRzE3bXEMheMs3xp0QY9ZUzr1cYthUtVr5NAzSljjl3yOI/o7iV/5pTxuLTwfjXbWbj8I12tzlVdtfYF81Twh/UDBYAoQFJmQLy6+XWXy7VmzeP+LHgUg85fuPDcc887nU7yMj7FyJLYoruJY/qckREkZYCAi5ElscVvNm7yXn2pPxkZYX16hwfr03XDudprZy+qskq7mKyz5AYqKTO+bG7xy+6Zg60ZH2XlF1vVwkmujVur1t5++A9UUkYs/+gVa3+ZOle1vMETW3Zbm4HukJQBEGUYvhR4lfvfPXz4yLKlD4YwI7NrV8U//uAxHYSBkyerpT3yVYVyZ+T+yF2Se6X2IAYNREYmxmVnZY4rHKMDBIjcUrmxOkBUG4iMDPyXPiJPHrbVpncZGZOKJesGYkTP6R1VKgNiH+JY/tHvx5fNlevKV3naVxkZedW18S2jbuDtW/WrBss0xtnOwqIN5WXVW7ubJxgAEMVIygRYff2VXbsqiotnMXCpZ3J/5C7JvZI7pnchlpCRCbjsrMzY6c4QTHJL5caSl4l6ZGTCTZ2r+sNf/n5L4dLTnTO8BFbr1cbts8tVXiZ9RF7xy+sW7dsoX1VKSL1qXf4psOTdvfHN78kbVA1Q1ATA9AEBgFhDUibAdu6qSElJnTevVMcD6eTJ6l27KnTQlTTgf/72RR2EK2mk3Cu5YzpGzCAjE3B2m21h6ZyGhsbK9w7pXWFmXOGYhaUlOogockvlxsrtlZusdyHqkJEJB2qpI9ne+OYjLyYVydcPn37FmrMIuIZzF9uMRZ3MgUhyOSlXrd24pXCp//P79o1cS97gSzlzK5ask/eu9xq9ZrpbLRsAEJVIygRSc0vL4cNHiotnpqak6F0D6eTJ6ojOaMhd+ttp35I7JvdN70IMICMzEIqn3y9fw3kynYx0R/6wu3QQadSNVTcZ0YeMTJi4dq62xliBaKCzIaaiDeXpI/Lkcttnl7+YVCTbSzlzpezauHVAk0EeTu+o2rdq/Za7b89rM3pBkSoAAGIBSZlAch37RL5OmzZVhbijB4pnyVd13xALGpuatrzxhzGjRjgnTrBuZGT6I39Y3qgRBZXvHWpta9O7ws/xk6d6mzPKzsoM5qChHi4nN1Zur9xkRodFnz2VB2q/uuTxG+n+qZPJyEQcM6MxvmyudVqW/Bn3mbPzehhl5D7SRwwbvaBIzWWjtgxjTpkgu3autuGcnucYABBTWH0pkDb99nfNzS1r1zyu466aW1p27ao4duyT+vp6CceOLfzbaVO9p57Z8Nzzsl9e3bmr4uTJaqlcUDDcPQPLA+78hXL48Ad/Onykvv6KvCo19d64uGXLlqjZhVUF75acv3ChsvKAy+WSdqampsixclrrGRTVBrmonOeYyyXNkPrSDKns0WBpQ+X+d8/LeS9ckDqyx+f7kjPIOaU93td65tlfZ2Vlrv7B93WMWFp9aSDE4OpLpbNnpTvS3nxnl46jhRru9E7FHhUOtDteruyhxXX1f63YF4vTkzNdUX9sZ/Wl7uVbltHxuXSRN6kvR0lB7qrcW7VTmPuFuZBTtrPQY95c68fx6OXd3c2q23q18cyOqqq1G61dZgK4+tLKL7ZKC2veO6ZC+2DH6L8vUhMMC7mua+NWVYY367cNAEQBesoE0vnzNV/3Sjoo5y9ceOKJJ8+fv7Bs2ZK1ax6XLSsr69XNr726+XVdo5MalPTMs7+Ssqo8yXnvrl0VG557XlUQWVmZciH5KmUpmFtqSqqqUF9fL+dRZdPhwx8888yvpbD6B9+X065cuaK5uUVOK/tVBZMc+xcjjSItkXaq+mPHFkqDPWaxkQsJubSqY76vt7a+rWvcibw7uW86ANBLdptt1IgC12fHdYwB8+GfXXKrmVkGCE/WaVnMhZxUzsW6zpGV64VuEx9y4DhjJabusjb9IQ1TLZzyi++pzVm+1MzI1Lmqre8FABD1SMoEUn19fVZWlg4smltannvueafTqTIsY8cWyvbdlQ+vXv19n8tCp6am/PyJn0kFVXnevNI1ax6/cOGCmRBRO79uJICkYG4qTePTyZPVr25+7bsrV8hpVQPk5NKe4uJZsv/8hQu6XieXyzVp0r3rn31q2dIlqr4U5s8r9Wit7F/9g+/LpVUd2eT8cs7Kynf9nClG7pjcNx0A6KVRIwrk65lz51VoNeUbTtW7YVzhmOLp9y8sLfn21Mk9DAhKdzjkEKmmakqoX+gkZ5MKUrDWNE9ot9mc94w3D5eLWvMX5rFWslM1rHT2LHnVPJUcK2FGeppsUjA39arJ/wYLuVFSR11Lzq92Kn5erubiV/JV3XAA4eb4lt3euYyGc7WVq9bvW7Vex101GL1p6lzVNcZcNuZm9o7JdhaOK5urygHU3fAoua5r49btnWtCAQBiBEmZgFFLO/tMi+yvdCcyvrvyYRWaJjnvnTZtaqXX/IKy3+M8BcOHu2t6pW/8t3NXxaRJcjnP0VLLli7JysrybkPxA7OsA6YUaUNzc4t3BseDtF++Xjh/h2qKeqcsjA30TXZWZl39FZ+zyUy+zylb2UOLp3zDKRW+rK3Nzsx8aOE873SDGFc45qFF876WlyfVZBs9okBCjwxO/rC75ISqppxK1VQvpTscslNeUjvtNtu3p062dUnKuI/VgUGaMXe2eyIhqV935cqovylw3jNevSTXlZbI4UIK5qZeVfxvsOyUd108/X5pldSUWyFtkz26kn+XEw2NjXKrPS4BoD/UJLtqO7HZr7ULqta+oOpLQe/qtG/VeveaTb/8vWxVazdKefPdS49v2W29ipRV5dELiopfXtdqLH3tsb2UM9fM71jn3JUWmnXM8whzp8+34P2qNGnL3UtljzTSbK2Ecl2PAVMAgFhAUiZgeuju8afDH3Q3+++kSffKgXdMc4hJznubm1u8ByX5o77+ihzYQxtcLpcOeqQSKC3G3DGBRWcZoG+yMzMbGj2XsjJlZw2tOnJ0y5vb3j9y9MM/u96p2FP53qHJ9zk9untkZ2UWT79f6kgFqSabHFJX/9dSI2niYco3nO9U7K3Y966qWWdkVIumTpb6b76zS+2Uq/zLa280NHb7aCFXlGbIeaSmOkSOlbJ6VbVETiibFMxNvSp61eCFpXNcnx2X9qhryVe5rpxhXGd/mTteziS3Wm64DgD0W6uxBLXarnUzyMiD2bHFmhYxyc4Pn35FNtfGrWYF61XMlMe4le4uMFLHZxLkuK8BROb6UNbzCHOnz7fg81V1Kmmk2VoJ9WsAgBhDUiYY6rtOx2ul9l/wY1IVVdOf9I03lfLooQ3NzS30VQEikd2WVHel2x/eTz477jGy6UT1KdmKpk7WsWHKfU6pJvt1bKh871C6w+E9WqfyvT+pRIyVVOvVvDajRxTUXPzK+zx+6lWDX3tzm0dNua4crsZ29YrcarnhOgAQyVQXGO+ZgIXscZYvVeXTO/Q0vQAADBCSMgGTkpqiS12pvi2pKb5fVfv97yfSt14qgW2DB7UA06bf/m7Dc8+rzf9Zfk0+5+IBcEd9GE1z+tz/Tnc4zAPtxlTBx6u/UKGpobFRthyv89dc9PG/glvb2tIdvVg/uLW1LSO9j+sN97bBPsd21V254j0HjT/6cMMBhCE1+699iGP5R793li9VEwO7J9998hHZo1I2rVcbmXMXADDQSMoEjFqLOtb6m7y19e117lWlasaOLZw/r1Rt3jPX9EDdsR6mKAYQWF8aE9ZmZw5Vocoy+Jwq+FqDv6N1Pvns+LenTva/78mJ6lM2m03N86J3+S0gDQYQ46rW6DWV00fkFW0oX7Rvo9qm/OJ7aiGkVmO6GZ+DmwAACCCSMoHkcyEh1Qek56WIhhe4Ezo9U2fwp6a3QLXBw8mT1ZWV76oVnYofmDW2cwEmlZ/yk9wxuskAwaR6jmSk634iKjuj1jDy2LKzhtr8S5p8+GfXiepTC0vnyFH+pGakDe9U7M0fdtcKYx7iXqVmAtLgPvPZ7wZAxDm9o6piybruVss+sWX3m9/8ns9pawAACCySMoFUUJD/F6+JeLOyMlNTU7qboFft9yeL4X9Nb8ML8uVrD23IysrqbnBTD/50+IOCguG96hfj7ZjrE7lvOgDQSzUXv+pnGsJudx+u1jDy2D757PgJr1FC3TGmy93b0NioUjN3HOZTV3/lze27jv7ZNa5wjErN6BfuJFAN7gO51XX1f9UBgAh3ekfV5ruXvvHNRypXrVerIMm2fXb5i0lF+1at93PiYQAA+omkTCCNHVt48mS1d4cUp9N57NgnOujqT4c/yHK7c3/7w4ePFBQM79swn4LhcmBWD22QluugN+rr61N6n8qxknt1/vyFvl0dgGhra+vbgJ1rDV365Ks1jLw3jylye1ZzsbbyvUNb3twmrXpo4TzvOXc9tLa1uT47rhaHuvee8dZlqu/Io53m1qsG95bcanlrOgAQFepc1ce37FarIMnGKkgAgCAjKRNIk5zu/9N7+PARFZqKi2fW19e/uvl1HXc6ebJaKi9btkTH3Tt8+INjxz6ZN69UxwY14MjP9ZikDXItOY+OO+3aVdHS0jy/65n9VFAw/MKFCx5JqPr6Kzt3VejgTtS9UvcNQB/UXbmSnaVnh/GTGl5Ud0X3+KhRU8z0KeHrU0NjY8W+d09Un5pyn78/2lL5ze27pA13zOOIgDfYf3Kre1jrCgAAAOgtkjKBlJWVOW3a1MrKAzruVDB8+HdXrjh8+MiG554/5vrk5Mlq2d7a+raExcWzJjnv1fU6/cWdrPlAVZP6Uu3Vza8tW7bEo6aEWVlZmza9pCpLzV3dZ0OKH5glbZPzvLr5dfPMm377u8r97y5b+mDfOuDIOeXrc5Y3JSd/5tlfTZrkbuefDn9wx4SR3CtpVd+uDkDUXPzKbrP1KkMxakRBQ2OjuRy1Koz2IxvSKyeqT/WqVdIkeS/eayd5G6AG31H+sDy51SolBAAAAAQESZkAmz+vtL6+vnL/uzruNG3at37+859mZWVt3vzahuee3/Tb30m1tWseX7bURzcZ1dlEqskm9VNTU6SmyoB4kP0FBflvbf2D1HzrrbfNJIhcyHtM0HdXPrx69fdbWprVmaV+Skrqz5/4mfekMHKsnEEHXclL5uLfWVmZa9Y8Ll83bXKvh626AskJpanfXbnC5XLJJVRNOcR6oCJ3SW5C3zrpAFBqLta2trU57xmv4zvJzsqUytYxPnL4mXPn771nfN+WiO5OdubQhsZerFpit9ky0tOsg6rkcJ/LZg9Qg7u7nGlc4Ri5tM8VwQEAAIC+ie/o6NDFvvqy/mpLW7sOYKwSffjwkZ8/8bO+dQD5xx88Nn9eqcdIpehTX3/lmWd/NW3aVJ9pqRiXYkv6WtYQHaCX5Jn5nYq9OogNU77hvPee8a+9ua2163QnP1xVdqL61Id/dqnkiN1mc04cLzW/vPhVxb4uieN0h+OhRe75XN4/crTm4leqvuzMH3ZX3ZW/mn1q5EKT73P+j5e3qNAkNUePKKip/UrVlHD82DFSU65iLlztcaxKcEhLVJtHjShQY53efGeX8bpb/rC8haVzjn7scn16XKrJae12m3mJ/jRYyEtfy8t7p2KPjnu8nJC7t+KhxZ98dlzup9oTU+TO+LOoFnzaPrucaUqAAMqfcd+ifXpFcwCIAiRlBsQzz/5avq5Z83gfljSKhaRMc0vLc889L4WfP/FTtQdWJGX6IwaTMt3lC364qkyXOrW2tXWXVkh3OKZ8wzmucIyODQ2NjVVHjnaXWDHJ43rx9L+VM+jYGGH04ccu80DhcWzx9Put15KGSeX3jxxVORqTOkoHcXFSx0wn9afBQl7ySMqIHi4nL/nMfMUIkjL9QVIGCCySMgCiDEmZAdHc0vLEE086nc7vrnxY7/JbLCRlXt38usvlevbZp/uQtIoFJGX6IwaTMkJlE958Z5fZs0P8cFXZ0Y9dx0+eykh3p0ta29qsr3YnOyvTbqyxLZV7lYCQo9QkMv4fqK51x4apdEB3p+1zg7vjfTm5xEML58nNjM1uMqIPSZk9lQe+unRZBwPsrtyckuKZOgg/JGWAwCIpAyDKkJQZKOcvXMjKyqKnjE/NLS319fUFw92rR8EbSZn+iM2kjFhYWmK3Jcl7N1MJKikTs3mEQLHbbAtL57S2tXt0q4kpfUjKrH3iKdenn+tg4L3zr6840nqaEiiESMoAgUVSBkCUYaLfgVIwfDjdQLojd4aMDBBYu/e9a7e70wc6RoDILZUbK7dXxwhL23Z0u/ggAABAOCMpE3bWrnl82rSpOgAA/7S2tVXsO+D67LiOESByS+XGBmRgFAbOtp27G5uadAAAABA5SMqEnbHu5aj7smwTgBhXV3/FutY1AkJuac9T3iAcNDY1HTpyVAcAAACRgzllgLDDnDL9EbNzynib8g1nzcWv5IboGOir8Jzo99AHH506c1YHcXF5uTmvv/SiDsIJc8oAgcWcMgCiDEkZIOyQlOkPkjJAwPUhKRMErk8/X/vEUzow/KR8dRguw0RSBggskjIAogzDlwAAQORxTpwwZtRIHRj27j+oSwAAABGCpAwAAIhIi+fP1SWD69PPg7kONwAAQP+RlAEAABGppHhmXm6ODgzbdrI2NgAAiCQkZQAAQKRaNL9UlwyHjhytHeAJhgEAAAKIpAwAAIhUJcUzHGlpOjC89sYfdAkAACDskZQBAACRypGW5jGzzJ7KA41NTToAAAAIbyRlAABABJvjtQz2th3MLAMAACIDSRkAABDB8nJzSrrmZbbt3E1nGQAAEBFIygAAgMi2YvmDumRobGo6dOSoDgAAAMIYSRkAABDZ8nJznBMn6MDAdL8AACAikJQBAAARr+w7S3XJUHvp8p7KAzoAAAAIVyRlAABAxHNOnDBm1EgdGPbuP6hLAAAA4YqkDAAAiAYea2O7Pv1cNh0AAACEpfiOjg5d7KuGluvtN27qAEC/JSUmpKck6wC91NDYePzkKR0ACITxY8ekOxw6CG8PP/pY7aXLOoiLu3/q5Kd+9mMdhMj22eU1Bz/WAYB+y59x36J9G3UAAJEvAEkZAACAcPD2jopNL2/WgeH1l17My83RQSiQlAECi6QMgCjD8CUAABAlSopnONLSdGBgGSYAABDO6CkDAACix5Z/27qlayLmnX99xSNTAwAAECboKQMAAKLHnOKZutRp244KXQIAAAgzJGUAAED0yMvNKemal9m2c3djU5MOAAAAwglJGQAAEFVWLH9QlwyNTU2HjhzVAQAAQDghKQMAAKJKXm6Oc+IEHRiY7hcAAIQnkjIAACDalH1nqS4Zai9d3lN5QAcAAABhg6QMAACINs6JE8aMGqkDw979B3UJAAAgbJCUAQAAUWjx/Lm6ZHB9+rlsOgAAAAgPJGUAAEAUKimemZebowPDtp2sjQ0AAMILSRkAABCdFs0v1SXDoSNHay9d1gEAAEAYICkDAACiU0nxDEdamg4MLMMEAADCCkkZAAAQnRxpaR4zy+ypPNDY1KQDAACAUCMpAwAAotac4pm61GnbDmaWAQAA4YKkDAAAiFp5uTklXfMy23buprMMAAAIEyRlAABANFux/EFdMjQ2NR06clQHAAAAIUVSBgAARLO83BznxAk6MDDdLwAACBMkZQAAQJQr+85SXTLUXrq8p/KADgAAAEKHpAwAAIhyzokTxowaqQPD3v0HdQkAACB0SMoAAIDo57E2tuvTz2XTAQAAQIjEd3R06CIAAED0evjRx2ovXdZBXNz9Uyc/9bMf62DAHN+yu+HsRR0A6Lf0kcPGl3XJsQJARCMpAwAAYsLbOyo2vbxZB4bXX3oxLzdHBwNj++zymoMf6wBAv+XPuG/Rvo06AIDIx/AlAAAQE0qKZzjS0nRgYBkmAAAQWiRlAABATHCkpXnMLLOn8kBjU5MOAAAAgo6kDAAAiBVzimfqUqdtOyp0CQAAIOhIygAAgFiRl5tT0jUvs23nbjrLAACAUCEpAwAAYsiK5Q/qkqGxqenQkaM6AAAACC6SMgAAIIbk5eY4J07QgYHpfgEAQKiQlAEAALGl7DtLdclQe+nynsoDOgAAAAgikjIAACC2OCdOGDNqpA4Me/cf1CUAAIAgIikDAABijsfa2K5PP5dNBwAAAMFCUgYAAMSckuKZebk5OjBs28na2AAAINhIygAAgFi0aH6pLhkOHTlae+myDgAAAIKCpAwAAIhFJcUzHGlpOjCwDBMAAAgykjIAACAWOdLSPGaW2VN5oLGpSQcAAAADj6QMAACIUXOKZ+pSp207mFkGAAAED0kZAAAQo/Jyc0q65mW27dxNZxkAABA0JGUAAEDsWrH8QV0yNDY1HTpyVAcAAAADjKQMAACIXXm5Oc6JE3RgYLpfAAAQNCRlAABATCv7zlJdMtReuryn8oAOAAAABhJJGQAAENOcEyeMGTVSB4a9+w/qEgAAwEAiKQMAAGKdx9rYrk8/l00HAAAAA4akDAAAiHUlxTPzcnN0YNi2k7WxAQDAgCMpAwAAELdofqkuGQ4dOVp76bIOAAAABgZJGQAAgLiS4hmOtDQdGFiGCQAADDSSMgAAAHGOtDSPmWX2VB5obGrSgaH20uXfbNykAwAAgH4jKQMAAOA2p3imLnXatqPLzDKHjhzdU3mAYU0AACBQSMoAAAC45eXmlHTNy2zbudvaWWa7Mfuv+goAANB/JGUAAAC0Fcsf1CVDY1PToSNHVfnUmbOqj8yeyoMew5oAAAD6hqQMAACAlpeb45w4QQcGc7rfbTt3q0JjU5PHsCYAAIC+ISkDAABwW9l3luqSofbS5T2VB6RgdpkRe/cf1CUAAIB+ICkDAABimsdYJOfECWNGjdSBYe/+g4eOHLVWq7102fXp5zoAAADoK5IyAAAgpv3g//mn32zcZE2yeKyNLS9tenmzDgyOtLQxo0boAAAAoK9IygAAgJg254EZeyoPrH3iqYcffWzLv22tvXS5pHhmXm6OftngsQz2/VMnO9LSdAAAANBXJGUAAEBMW7ygVGVYai9d3vLGHx5+9LG1Tzx1V9ekjIc5D8zQJQAAgH6I7+jo0EUAAICY9JuNm9Rsvv7Iy815/aUXdXAn22eX1xz8WAfonn2IY/SCovwZ96WPyFN7at47pgoZI/JarzZWrd2owug2vmzuuDI9eq5q7Qt1rmpVhkm+SRbti4lvBgAxgqQMAACIdbWXLj/86GM6uJOy5Q96rNDUA5Iy/sh2Fv6nt9eb6RhvrVcbX8rpMtFPtJry5CNTfvE9VeabxyeSMgCiDMOXAABArMvLzSkpnqmDO5njd83wNL5s7uyX1y3/6JXH2qvMTZ5yizaUy+OurhRcPWdkhH2II6PHCgAARCh6ygAAAMSdOnP2v6z/Z48Jfb05J07Y8Ox/0YEfwqqzw+gFRUXPlfec/qhau9G1casOgmJ82dzil9epcp2r+vSO91XZ1Hq1oc71RXT0GTHTXg1nL147V6vKVgxfuiN6ygCIMiRlAAAAtFNnzm7bufvQkaONTU16V1c/KV/tf58aET5JmdkvrzOf9nvwUs7c1quNOggKs2Fy3S2FS4N89SB7rL1KFT785e8/fPoVVUavkJQBEGUYvgQAAKCNGTXyJ+Wr3/nXV+Tr/VMn672dHGlp3jsjwpQnH7FmZBrO1Vat3bh9drm5SXhiy27Zgp8TMXvu1LmqozsjAwCAN3rKAAAA+FZ76fKhI0e376xQw5pKimf+pHy1eslP4dBTJmNEXtkXt0ck9WGAUrazcPTfF6lyw9mL8o58Dr3xHpsjl5ad6SOHqZ2nd1RZ0y6qftGGH8n5pVDnqq5a+4Lxig8+UzZyBvOidceqa9772GdaR5qh2iC8Pw65un2IQwpyrHW4kPfbGb2gKHtSYevVhjN/rLLeAalpXsLnYCs5v3qPZhePE1t2H9+yW5WFWd/a1O6yVAP0cZiktfnT75N3qkI5v3mGcCBvgZ4yAKIJSRkAAIA7UMOa5jwwwzlxgt7ln3BIylgHLvU2I9PdNDTypipXrfd4ULeOzTn9x6qiDT8y8wJKw7na/7VknZn4MOv7w+NOypnlffU8P47Ul6OkYF3S6MUknc4wyRO+aqdZX7G+HXnJejnVmGxn4ZQnvye3SO20ar3a6HphqzlA6Y55BLNVPa++NKAfh2JtgNWJLbv3rVqvg5C6480EgMjC8CUAAIA7UMOaepuRCRNmRkYewnuVkZn98rrSbtZFkgfjhz76ver94W182dzlH73ikQIQcqr/9HYAHuxHLyiSx/KeMzIBNHrBtz0u13D2oir4zMgI+xDHlF98z1nu79Lp/gjCxyGX8JmREeHTUwYAogxJGQAAgKhlfRQ//cde9EwZvaDIzOa4+31s3Oqem/aXv2/ofDi3D3HMfvlnquzBTBzUHPxYbSoU8pLZpO3GdDZmTw0pqD3mdsIywMck1zVXa5IKL+XMfTGpSLaqtbd7T8gVpak+D+8DleyQN67ugJxWZSikwbJTNnU5tVk7now302FnL6pXVSish1j3dycIH4e8TWv+zmybXEvelPUoAEAAMXwJAABgoGwP9fAlZ6yZcLYAAAhfSURBVPnSog16SE6vGrPyi63qYb71auOb3/yetaOEOd5HVK5ab86NYo6XkWd4eZK3zplibYbHECrzbNI2aaHaqfgcyzN6QVGp0b9DGvZSjk4iKLJfdV3xGGvTz+FLciF5m6d3+Ehp2Yc45FUddLLeH4/LWYcU+Vx9qbvhS0H4OKyXDv4iXP6TNytvWQcAEPnoKQMAABC17EPSdak3Ri8oMrtXvL92o8fQFXny16WuPXFMp3e8b00BCGunlb41yWROQGvtk6LUub5QBbPxAeF6YavPjIzwmbmoee+YLgVI8D8Os8sMAGCgkZQBAABAF2biQ3h3rrlmjNlR5Wzn3arQswB2u2i92qAKGZ2rFJnyp09SBbN5QZNvrAOltoyApoREcD4O6+i2og3lK7/Y6ixfGvD3AgDwQFIGAAAgapkpDOHnE7uw1vTol6Fc65zptrvJZQfOmc7cQfqIvNK316usgXyd8uQjZj8Rj44hA2f0gqLlH73yWHvVon0bzS3g3UyC83GoUU46MG5v0Ybysi+2zn55XfA/ZQCIHSRlAAAAopY5okeYOYs7sg926FL4uXau1hywM3pBUdkXWx9rr5Kv5nwo8qp3d5KBMOXJR0rfXh+EhEXQPo6qtRsrlqzz6Gc0zli8yZy0GAAQWCRlAAAAopY1PTF6QZGfo1H8H/7jPbFLEBzfstvndU/vqNo+uzw43WTcfXM600DSGLmuWgRKtg/9WE2pV4L5ccg93Hz30ool605s2W0d5fTtDeUMZQKAgUBSBgAAIJpZZ3UtfXu9fcidu11ctjzbjzbWM7KSM5idbnyOphloU558JNtZ2HCu9sWkou3G4tlvfPMRKVcsWRecPjLC2u1ooK8b/I/j9I6qfavWbylcag5okquM+nvPSwMA+o+kDAAAQDSzLr2c7Sxc/tHv7ziOqebg7fWDnOVLdamTs3yZLllmeAkmcyiNfYij5uDHsvnfQ8TjvUvoPWGwP9ItR/UhFdKrEUmh+jharzZWrb29+HQ/l80CAPhEUgYAACCaWSdhEekj8hbt27jSmMB1ypOPmJvsfPSy7lNT56o2u37kz7hPXhq9oEgKsrmP6hy203CuNmhT6lqp9aHlqzT4sfYqc5M3Vfr2eu/ZT6zdWEr/sF6936IN5cs/ekXemjpbbzV0zq0r5J6o/kdyf+S0zh/dzpvIHl0ymMmjcWVzpZ3yqnyVxvQ8Y0twPo5sZ6G78eVL1Zllk1bJtfTL0oxj/R0bBQDwRlIGAAAgysmzurXLg0gfkTeubK48z5ubPITbhzjMaWsrHlxnTikiL5W+vV6ez2UzlxaSV//XknWqHGTWAVlW8qZGLygqfnnd7Je7NKzOVW2+F3mP6v06y5f2Z47e0zuqzHPKPVHpIbk/clqVoFFkz5QnH9GB+6j3VUHqSDvlVfmqbr7a350gfBz5MyZJ44s2lKszq7aZDZN7KG9ZlQEAAURSBgAAIPq5Nm5945uPWPuM+CRP5qogD/lvfvN73dWX/dtnl5v9PoLsjv1BVD8UHRjv5f2uOSml4Vxtn6eDUec0EyUmOafcZ+udsZ7ftfEtnzftjr11gvBxZIzodhiXmkFZBwCAgIrv6OjQRQAAAASUPMr27Zl/4GSMyMufcV+2szDbebfeJU/17x1rOHtRmuo9PYrUHF8216wsNU//scrn87/ZJUTO4/2uu3tVTq7mZ5EGeGRbpJ1mT40TmytU26Q9i/ZttA9xbLl7qUdr5aXZL/9M9X85vaOqomvPETmV+1pG+qPO9YW0QXX96K4BPb8dRW7mqL8vUpPvyp2pO3a7O4nZeLPlJjX4SN1SOar1akPNwWPqlppHCe8DxcB9HHLm/BmT7EPS86frxFzDudrLruozf6zybkYIyf2RbwAdAEDkIykDAAAwUMIwKRPpZr+8blzZXLmrPvtumE/s3VVApCMpAyDKMHwJAAAAEWOU0S2luyWTzG4mda4vVAEAgHBGUgYAAAARJn1EXunb69VIJSXfmP52SudSRK6Nb6kCAADhjOFLAAAAA4XhSwE35clHzMxLdypXre/P4tAIZwxfAhBl6CkDAACAiPHh06+4Nm7VgRe1oBIZGQBApKCnDAAAwEChp8wAUcse5TgLzcWka947Jreaux316CkDIMqQlAEAABgoJGWAwCIpAyDKMHwJAAAAAAAgBEjKAAAAAAAAhABJGQAAAAAAgBAgKQMAAAAAABACJGUAAAAAAABCgKQMAAAAAABACJCUAQAAAAAACAGSMgAAAAAAACFAUgYAAAAAACAESMoAAAAAAACEAEkZAAAAAACAECApAwAAAAAAEAIkZQAAAAAAAEKApAwAAAAAAEAIkJQBAAAAAAAIAZIyAAAAAAAAIUBSBgAAAAAAIARIygAAAAAAAIQASRkAAAAAAIAQICkDAAAAAAAQAiRlAAAAAAAAQoCkDAAAAAAAQAiQlAEAAAAAAAgBkjIAAAAAAAAhQFIGAAAAAAAgBEjKAAAAAAAAhABJGQAAAAAAgBAgKQMAAAAAABAC8R0dHboIAACAgKpzVbdebdQBgH6zD3FkOwt1AACRj6QMAAAAAABACDB8CQAAAAAAIARIygAAAAAAAIQASRkAAAAAAIAQICkDAAAAAAAQAiRlAAAAAAAAQoCkDAAAAAAAQAiQlAEAAAAAAAgBkjIAAAAAAAAhQFIGAAAAAAAgBEjKAAAAAAAAhABJGQAAAAAAgBAgKQMAAAAAABACJGUAAAAAAABCgKQMAAAAAABACJCUAQAAAAAACAGSMgAAAAAAACFAUgYAAAAAACAESMoAAAAAAACEAEkZAAAAAACAECApAwAAAAAAEAIkZQAAAAAAAIIuLu7/B3OPk2hBnNnuAAAAAElFTkSuQmCC"
        },
        {
            "type": "observed-data",
            "spec_version": "2.1",
            "id": "observed-data--5c5d6c97-41a8-4b1b-a0ad-4482950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:48:39.000Z",
            "modified": "2019-02-08T11:48:39.000Z",
            "first_observed": "2019-02-08T11:48:39Z",
            "last_observed": "2019-02-08T11:48:39Z",
            "number_observed": 1,
            "object_refs": [
                "url--5c5d6c97-41a8-4b1b-a0ad-4482950d210f"
            ],
            "labels": [
                "misp:type=\"link\"",
                "misp:category=\"External analysis\""
            ]
        },
        {
            "type": "url",
            "spec_version": "2.1",
            "id": "url--5c5d6c97-41a8-4b1b-a0ad-4482950d210f",
            "value": "https://www.welivesecurity.com/2019/02/07/danabot-updated-new-cc-communication/"
        },
        {
            "type": "x-misp-attribute",
            "spec_version": "2.1",
            "id": "x-misp-attribute--5c5d6cb0-c3f4-4a8f-a32d-4139950d210f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:49:04.000Z",
            "modified": "2019-02-08T11:49:04.000Z",
            "labels": [
                "misp:type=\"text\"",
                "misp:category=\"External analysis\""
            ],
            "x_misp_category": "External analysis",
            "x_misp_type": "text",
            "x_misp_value": "The fast-evolving, modular Trojan DanaBot has undergone further changes, with the latest version featuring an entirely new communication protocol. The protocol, introduced to DanaBot at the end of January 2019, adds several layers of encryption to DanaBot\u00e2\u20ac\u2122s C&C communication.\r\n\r\nBesides the changes in communication, DanaBot\u00e2\u20ac\u2122s architecture and campaign IDs have also been modified.\r\nThe evolution of DanaBot\r\n\r\nAfter being discovered in May 2018 as part of Australia-targeted spam campaigns, DanaBot has had an eventful time since, appearing in malspam campaigns in Poland, Italy, Germany, Austria and Ukraine, as well as in the United States. The European campaigns have seen the Trojan expanding its capabilities with new plugins and spam-sending features.\r\n\r\nIn ESET telemetry on January 25, 2019, we noticed unusual DanaBot-related executables. Upon further inspection, these binaries were, indeed, revealed to be DanaBot variants, but using a different communication protocol to communicate with the C&C server. Starting January 26, 2019, DanaBot operators stopped building binaries with the old protocol."
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--809364d9-f8ed-485e-92db-60638ead238f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:48:08.000Z",
            "modified": "2019-02-08T11:48:08.000Z",
            "pattern": "[file:hashes.MD5 = '42ed833c083f6f3815b2e38c30751220' AND file:hashes.SHA1 = '5f085b19657d2511a89f3172b7887ce29fc70792' AND file:hashes.SHA256 = '2b7483856431572f7db06cc34d1deee58fa79b5ca93920107df3822f794d572a']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:48:08Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "x-misp-object",
            "spec_version": "2.1",
            "id": "x-misp-object--1e3059fc-984b-493e-bc29-fc20bd3b0995",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:48:09.000Z",
            "modified": "2019-02-08T11:48:09.000Z",
            "labels": [
                "misp:name=\"virustotal-report\"",
                "misp:meta-category=\"misc\""
            ],
            "x_misp_attributes": [
                {
                    "type": "datetime",
                    "object_relation": "last-submission",
                    "value": "2019-02-08T11:09:24",
                    "category": "Other",
                    "uuid": "00879520-be39-4ca6-b9f7-6f01319e2bfc"
                },
                {
                    "type": "link",
                    "object_relation": "permalink",
                    "value": "https://www.virustotal.com/file/2b7483856431572f7db06cc34d1deee58fa79b5ca93920107df3822f794d572a/analysis/1549624164/",
                    "category": "External analysis",
                    "uuid": "d447f1ca-ea38-4c9e-ba11-4eb7d36d7e7e"
                },
                {
                    "type": "text",
                    "object_relation": "detection-ratio",
                    "value": "33/69",
                    "category": "Other",
                    "uuid": "d60b9ed1-315c-484f-9336-4952fae37989"
                }
            ],
            "x_misp_meta_category": "misc",
            "x_misp_name": "virustotal-report"
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--a8e983ae-06de-41b1-a289-064ea6badeeb",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:48:09.000Z",
            "modified": "2019-02-08T11:48:09.000Z",
            "pattern": "[file:hashes.MD5 = '8c310a91aba32fd60df859896d5a2f2d' AND file:hashes.SHA1 = '0df17562844b7a0a0170c9830921c3442d59c73c' AND file:hashes.SHA256 = '31fafbc37dd3bc55e4dae9c3ffee48dfb132827a3adf836b33c205c6164fbecf']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:48:09Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "x-misp-object",
            "spec_version": "2.1",
            "id": "x-misp-object--b74bed56-8cd2-45ce-8d22-8172c7243e6f",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:48:09.000Z",
            "modified": "2019-02-08T11:48:09.000Z",
            "labels": [
                "misp:name=\"virustotal-report\"",
                "misp:meta-category=\"misc\""
            ],
            "x_misp_attributes": [
                {
                    "type": "datetime",
                    "object_relation": "last-submission",
                    "value": "2019-02-08T11:09:24",
                    "category": "Other",
                    "uuid": "b629437e-6ddd-481e-8507-49843cd47a2b"
                },
                {
                    "type": "link",
                    "object_relation": "permalink",
                    "value": "https://www.virustotal.com/file/31fafbc37dd3bc55e4dae9c3ffee48dfb132827a3adf836b33c205c6164fbecf/analysis/1549624164/",
                    "category": "External analysis",
                    "uuid": "c94e94a1-ffed-4b8d-be27-d3560d66f9db"
                },
                {
                    "type": "text",
                    "object_relation": "detection-ratio",
                    "value": "42/69",
                    "category": "Other",
                    "uuid": "e1fa2f15-90a3-43db-8950-7e7a94753eae"
                }
            ],
            "x_misp_meta_category": "misc",
            "x_misp_name": "virustotal-report"
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--11ab22da-a5e0-4a38-8fc3-9f9aaf44346a",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:48:09.000Z",
            "modified": "2019-02-08T11:48:09.000Z",
            "pattern": "[file:hashes.MD5 = '6b83c0cd765311d2144f7e7d5885e013' AND file:hashes.SHA1 = '98c70361ea611ba33ee3a79816a88b2500ed7844' AND file:hashes.SHA256 = 'ef613c0b16f054289f1dc9791502306fced588a36183fa4b9625356dbe42af26']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:48:09Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "x-misp-object",
            "spec_version": "2.1",
            "id": "x-misp-object--9368ef9c-5fcc-49f5-b13a-258fdafe4b15",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:48:09.000Z",
            "modified": "2019-02-08T11:48:09.000Z",
            "labels": [
                "misp:name=\"virustotal-report\"",
                "misp:meta-category=\"misc\""
            ],
            "x_misp_attributes": [
                {
                    "type": "datetime",
                    "object_relation": "last-submission",
                    "value": "2019-02-08T11:09:27",
                    "category": "Other",
                    "uuid": "c71ec83e-f0b9-4acc-8afe-1922f0069167"
                },
                {
                    "type": "link",
                    "object_relation": "permalink",
                    "value": "https://www.virustotal.com/file/ef613c0b16f054289f1dc9791502306fced588a36183fa4b9625356dbe42af26/analysis/1549624167/",
                    "category": "External analysis",
                    "uuid": "9eb655e9-c49b-4626-baca-84a98b02d581"
                },
                {
                    "type": "text",
                    "object_relation": "detection-ratio",
                    "value": "43/70",
                    "category": "Other",
                    "uuid": "d8dc19bf-e978-45f6-89db-8edb60a7ea37"
                }
            ],
            "x_misp_meta_category": "misc",
            "x_misp_name": "virustotal-report"
        },
        {
            "type": "indicator",
            "spec_version": "2.1",
            "id": "indicator--46b1753f-048d-42c6-ad26-3ecc56d33076",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:48:09.000Z",
            "modified": "2019-02-08T11:48:09.000Z",
            "pattern": "[file:hashes.MD5 = '3e63651c8ee9143db65c6c1f12936437' AND file:hashes.SHA1 = '4075375a08273e65c223116ecd2cef903ba97b1e' AND file:hashes.SHA256 = '4054ca079a1c1af7a9531c160be7025930e45e739af847b264ca6a49b0ea0571']",
            "pattern_type": "stix",
            "pattern_version": "2.1",
            "valid_from": "2019-02-08T11:48:09Z",
            "kill_chain_phases": [
                {
                    "kill_chain_name": "misp-category",
                    "phase_name": "file"
                }
            ],
            "labels": [
                "misp:name=\"file\"",
                "misp:meta-category=\"file\"",
                "misp:to_ids=\"True\""
            ]
        },
        {
            "type": "x-misp-object",
            "spec_version": "2.1",
            "id": "x-misp-object--07554fd7-f152-4243-805d-c359f5334102",
            "created_by_ref": "identity--55f6ea5e-2c60-40e5-964f-47a8950d210f",
            "created": "2019-02-08T11:48:09.000Z",
            "modified": "2019-02-08T11:48:09.000Z",
            "labels": [
                "misp:name=\"virustotal-report\"",
                "misp:meta-category=\"misc\""
            ],
            "x_misp_attributes": [
                {
                    "type": "datetime",
                    "object_relation": "last-submission",
                    "value": "2019-02-08T11:09:24",
                    "category": "Other",
                    "uuid": "117cbced-d0e7-4fa6-8cf9-1296a2c59163"
                },
                {
                    "type": "link",
                    "object_relation": "permalink",
                    "value": "https://www.virustotal.com/file/4054ca079a1c1af7a9531c160be7025930e45e739af847b264ca6a49b0ea0571/analysis/1549624164/",
                    "category": "External analysis",
                    "uuid": "4602b191-b961-4bb4-9acd-9a09b91bc4f8"
                },
                {
                    "type": "text",
                    "object_relation": "detection-ratio",
                    "value": "29/69",
                    "category": "Other",
                    "uuid": "3c574c96-6ad6-47c2-b95c-aa1fa77c96b2"
                }
            ],
            "x_misp_meta_category": "misc",
            "x_misp_name": "virustotal-report"
        },
        {
            "type": "relationship",
            "spec_version": "2.1",
            "id": "relationship--e665e527-0d0c-4057-adb2-87fe06beadf0",
            "created": "2019-02-08T11:48:09.000Z",
            "modified": "2019-02-08T11:48:09.000Z",
            "relationship_type": "analysed-with",
            "source_ref": "indicator--809364d9-f8ed-485e-92db-60638ead238f",
            "target_ref": "x-misp-object--1e3059fc-984b-493e-bc29-fc20bd3b0995"
        },
        {
            "type": "relationship",
            "spec_version": "2.1",
            "id": "relationship--6ff82921-506f-4be2-ba8e-e58c795016a5",
            "created": "2019-02-08T11:48:10.000Z",
            "modified": "2019-02-08T11:48:10.000Z",
            "relationship_type": "analysed-with",
            "source_ref": "indicator--a8e983ae-06de-41b1-a289-064ea6badeeb",
            "target_ref": "x-misp-object--b74bed56-8cd2-45ce-8d22-8172c7243e6f"
        },
        {
            "type": "relationship",
            "spec_version": "2.1",
            "id": "relationship--e193d612-17c4-465e-b12b-e37a59378c03",
            "created": "2019-02-08T11:48:10.000Z",
            "modified": "2019-02-08T11:48:10.000Z",
            "relationship_type": "analysed-with",
            "source_ref": "indicator--11ab22da-a5e0-4a38-8fc3-9f9aaf44346a",
            "target_ref": "x-misp-object--9368ef9c-5fcc-49f5-b13a-258fdafe4b15"
        },
        {
            "type": "relationship",
            "spec_version": "2.1",
            "id": "relationship--c3c201b6-9758-4017-8259-ae0574e3894c",
            "created": "2019-02-08T11:48:10.000Z",
            "modified": "2019-02-08T11:48:10.000Z",
            "relationship_type": "analysed-with",
            "source_ref": "indicator--46b1753f-048d-42c6-ad26-3ecc56d33076",
            "target_ref": "x-misp-object--07554fd7-f152-4243-805d-c359f5334102"
        },
        {
            "type": "marking-definition",
            "spec_version": "2.1",
            "id": "marking-definition--613f2e26-407d-48c7-9eca-b8e91df99dc9",
            "created": "2017-01-20T00:00:00.000Z",
            "definition_type": "tlp",
            "name": "TLP:WHITE",
            "definition": {
                "tlp": "white"
            }
        }
    ]
}