├── .gitignore ├── README.md ├── Notebooks ├── MachineLearning.ipynb ├── DataToGraph.ipynb └── DataPreparation.ipynb └── Data └── raw_data └── Train-1542865627584.csv /.gitignore: -------------------------------------------------------------------------------- 1 | .ipynb_checkpoints 2 | __pycache__ -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Graphathon-ATP 2 | Repository for material for the graph hackathon for ATP 3 | -------------------------------------------------------------------------------- /Notebooks/MachineLearning.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "id": "85f475c8-5ce5-463e-ba76-af3d793f0ad7", 7 | "metadata": {}, 8 | "outputs": [], 9 | "source": [ 10 | "# imports\n", 11 | "import pandas as pd" 12 | ] 13 | }, 14 | { 15 | "cell_type": "markdown", 16 | "id": "831289ee-25d1-4257-b7a4-c144c9deb1af", 17 | "metadata": {}, 18 | "source": [ 19 | "## Machine Learning" 20 | ] 21 | }, 22 | { 23 | "cell_type": "markdown", 24 | "id": "ee500111-ee92-4b28-9a88-0dfc3f788554", 25 | "metadata": {}, 26 | "source": [ 27 | "### Preparation of the data for model building" 28 | ] 29 | }, 30 | { 31 | "cell_type": "markdown", 32 | "id": "62371cdc-a1bb-44e5-9067-0c4455fbb07f", 33 | "metadata": {}, 34 | "source": [ 35 | "#### Data loading" 36 | ] 37 | }, 38 | { 39 | "cell_type": "code", 40 | "execution_count": 8, 41 | "id": "24abd723-4ea0-441d-9718-c56487d75639", 42 | "metadata": {}, 43 | "outputs": [ 44 | { 45 | "data": { 46 | "text/html": [ 47 | "
\n", 48 | "\n", 61 | "\n", 62 | " \n", 63 | " \n", 64 | " \n", 65 | " \n", 66 | " \n", 67 | " \n", 68 | " \n", 69 | " \n", 70 | " \n", 71 | " \n", 72 | " \n", 73 | " \n", 74 | " \n", 75 | " \n", 76 | " \n", 77 | " \n", 78 | " \n", 79 | " \n", 80 | " \n", 81 | " \n", 82 | " \n", 83 | " \n", 84 | " \n", 85 | " \n", 86 | " \n", 87 | " \n", 88 | " \n", 89 | " \n", 90 | " \n", 91 | " \n", 92 | " \n", 93 | " \n", 94 | " \n", 95 | " \n", 96 | " \n", 97 | " \n", 98 | " \n", 99 | " \n", 100 | " \n", 101 | " \n", 102 | " \n", 103 | " \n", 104 | " \n", 105 | " \n", 106 | " \n", 107 | " \n", 108 | " \n", 109 | " \n", 110 | " \n", 111 | " \n", 112 | " \n", 113 | " \n", 114 | " \n", 115 | " \n", 116 | " \n", 117 | " \n", 118 | " \n", 119 | " \n", 120 | " \n", 121 | " \n", 122 | " \n", 123 | " \n", 124 | " \n", 125 | " \n", 126 | " \n", 127 | " \n", 128 | " \n", 129 | " \n", 130 | " \n", 131 | " \n", 132 | " \n", 133 | " \n", 134 | " \n", 135 | " \n", 136 | " \n", 137 | " \n", 138 | " \n", 139 | " \n", 140 | " \n", 141 | " \n", 142 | " \n", 143 | " \n", 144 | " \n", 145 | " \n", 146 | " \n", 147 | " \n", 148 | " \n", 149 | " \n", 150 | " \n", 151 | " \n", 152 | " \n", 153 | " \n", 154 | " \n", 155 | " \n", 156 | " \n", 157 | " \n", 158 | " \n", 159 | " \n", 160 | " \n", 161 | " \n", 162 | " \n", 163 | " \n", 164 | " \n", 165 | " \n", 166 | " \n", 167 | " \n", 168 | " \n", 169 | " \n", 170 | " \n", 171 | " \n", 172 | " \n", 173 | " \n", 174 | " \n", 175 | " \n", 176 | " \n", 177 | " \n", 178 | " \n", 179 | " \n", 180 | " \n", 181 | " \n", 182 | " \n", 183 | " \n", 184 | " \n", 185 | " \n", 186 | " \n", 187 | " \n", 188 | " \n", 189 | " \n", 190 | " \n", 191 | " \n", 192 | " \n", 193 | " \n", 194 | " \n", 195 | " \n", 196 | " \n", 197 | " \n", 198 | " \n", 199 | " \n", 200 | " \n", 201 | " \n", 202 | " \n", 203 | " \n", 204 | " \n", 205 | " \n", 206 | " \n", 207 | " \n", 208 | " \n", 209 | " \n", 210 | "
BeneIDDOBDODGenderRaceRenalDiseaseIndicatorStateCountyNoOfMonths_PartACovNoOfMonths_PartBCov...ClmProcedureCode_5PotentialFraudAgeIsDeadDaysAdmittedDaysClaimLastedClaimEndAfterDischargedTotalDiagnosisTotalProceduresTotalPhysicians
0BENE110011943-01-01NaN110392301212...NaN166.00770901
1BENE175211913-12-01NaN210392301212...NaN195.0013130923
2BENE217181922-10-01NaN110396001212...NaN187.0019190912
3BENE229341930-07-01NaN210392801212...NaN179.00550713
4BENE244021925-09-01NaN220395101212...NaN183.00550112
\n", 211 | "

5 rows × 62 columns

\n", 212 | "
" 213 | ], 214 | "text/plain": [ 215 | " BeneID DOB DOD Gender Race RenalDiseaseIndicator State \\\n", 216 | "0 BENE11001 1943-01-01 NaN 1 1 0 39 \n", 217 | "1 BENE17521 1913-12-01 NaN 2 1 0 39 \n", 218 | "2 BENE21718 1922-10-01 NaN 1 1 0 39 \n", 219 | "3 BENE22934 1930-07-01 NaN 2 1 0 39 \n", 220 | "4 BENE24402 1925-09-01 NaN 2 2 0 39 \n", 221 | "\n", 222 | " County NoOfMonths_PartACov NoOfMonths_PartBCov ... ClmProcedureCode_5 \\\n", 223 | "0 230 12 12 ... NaN \n", 224 | "1 230 12 12 ... NaN \n", 225 | "2 600 12 12 ... NaN \n", 226 | "3 280 12 12 ... NaN \n", 227 | "4 510 12 12 ... NaN \n", 228 | "\n", 229 | " PotentialFraud Age IsDead DaysAdmitted DaysClaimLasted \\\n", 230 | "0 1 66.0 0 7 7 \n", 231 | "1 1 95.0 0 13 13 \n", 232 | "2 1 87.0 0 19 19 \n", 233 | "3 1 79.0 0 5 5 \n", 234 | "4 1 83.0 0 5 5 \n", 235 | "\n", 236 | " ClaimEndAfterDischarged TotalDiagnosis TotalProcedures TotalPhysicians \n", 237 | "0 0 9 0 1 \n", 238 | "1 0 9 2 3 \n", 239 | "2 0 9 1 2 \n", 240 | "3 0 7 1 3 \n", 241 | "4 0 1 1 2 \n", 242 | "\n", 243 | "[5 rows x 62 columns]" 244 | ] 245 | }, 246 | "execution_count": 8, 247 | "metadata": {}, 248 | "output_type": "execute_result" 249 | } 250 | ], 251 | "source": [ 252 | "data = pd.read_csv(\"https://raw.githubusercontent.com/EY-Tech-Consulting-Denmark/Graphathon-ATP/main/Data/clean_data/data.csv\")\n", 253 | "data.head()" 254 | ] 255 | }, 256 | { 257 | "cell_type": "markdown", 258 | "id": "9b1d8c44-d1d5-47a5-861c-b923cbc31f78", 259 | "metadata": {}, 260 | "source": [ 261 | "#### Features and target split" 262 | ] 263 | }, 264 | { 265 | "cell_type": "code", 266 | "execution_count": null, 267 | "id": "9c042e24-afd4-402e-b45b-48d19dfadc2d", 268 | "metadata": {}, 269 | "outputs": [], 270 | "source": [] 271 | }, 272 | { 273 | "cell_type": "markdown", 274 | "id": "5f78792d-74a2-4947-af9e-8b77618cd6a8", 275 | "metadata": {}, 276 | "source": [ 277 | "#### Train-test split" 278 | ] 279 | }, 280 | { 281 | "cell_type": "code", 282 | "execution_count": null, 283 | "id": "c741e9c4-7648-48c6-9f2b-c77925da8c28", 284 | "metadata": {}, 285 | "outputs": [], 286 | "source": [] 287 | }, 288 | { 289 | "cell_type": "markdown", 290 | "id": "7e9db984-2aa1-469f-8fb3-893ad7ea08f5", 291 | "metadata": {}, 292 | "source": [ 293 | "### Model building" 294 | ] 295 | }, 296 | { 297 | "cell_type": "code", 298 | "execution_count": null, 299 | "id": "212dcb21-5db1-45ef-b516-108ba7ec9f1f", 300 | "metadata": {}, 301 | "outputs": [], 302 | "source": [] 303 | }, 304 | { 305 | "cell_type": "markdown", 306 | "id": "89e2be95-a0b3-43c6-8139-631286b0092c", 307 | "metadata": {}, 308 | "source": [ 309 | "### Model building utilizing graph features" 310 | ] 311 | }, 312 | { 313 | "cell_type": "code", 314 | "execution_count": null, 315 | "id": "b98106fd-5001-433c-b072-259c121ddccc", 316 | "metadata": {}, 317 | "outputs": [], 318 | "source": [] 319 | }, 320 | { 321 | "cell_type": "markdown", 322 | "id": "aef853a6-ae28-4de4-af97-3eabe7f2a37b", 323 | "metadata": {}, 324 | "source": [ 325 | "### Conclusion" 326 | ] 327 | }, 328 | { 329 | "cell_type": "code", 330 | "execution_count": null, 331 | "id": "6c2ae1f8-79b9-4e40-8ee5-e0b9cc6a8cb1", 332 | "metadata": {}, 333 | "outputs": [], 334 | "source": [] 335 | } 336 | ], 337 | "metadata": { 338 | "kernelspec": { 339 | "display_name": "Python 3 (ipykernel)", 340 | "language": "python", 341 | "name": "python3" 342 | }, 343 | "language_info": { 344 | "codemirror_mode": { 345 | "name": "ipython", 346 | "version": 3 347 | }, 348 | "file_extension": ".py", 349 | "mimetype": "text/x-python", 350 | "name": "python", 351 | "nbconvert_exporter": "python", 352 | "pygments_lexer": "ipython3", 353 | "version": "3.9.7" 354 | } 355 | }, 356 | "nbformat": 4, 357 | "nbformat_minor": 5 358 | } 359 | -------------------------------------------------------------------------------- /Notebooks/DataToGraph.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "id": "e87b59a0", 6 | "metadata": {}, 7 | "source": [ 8 | "# Notebook for Loading in the Database and Creating a Graph\n", 9 | "\n", 10 | "Start by importing the libraries and connecting to the neo4j sandbox." 11 | ] 12 | }, 13 | { 14 | "cell_type": "code", 15 | "execution_count": null, 16 | "id": "6d7efb69-de57-4efb-9bf7-0770354958ca", 17 | "metadata": {}, 18 | "outputs": [], 19 | "source": [ 20 | "# imports\n", 21 | "import pandas as pd\n", 22 | "from graphdatascience import GraphDataScience" 23 | ] 24 | }, 25 | { 26 | "cell_type": "code", 27 | "execution_count": null, 28 | "id": "6b4a6d31", 29 | "metadata": {}, 30 | "outputs": [], 31 | "source": [ 32 | "# Connect to neo4j DBMS\n", 33 | "\n", 34 | "#this is local DBMS via neo4j Desktop for testing purposes needs to be changed\n", 35 | "DB_ULR = \"bolt://localhost:7687\" \n", 36 | "DB_USER = \"neo4j\"\n", 37 | "DB_PASS = \"1234\"\n", 38 | "DB_NAME = \"neo4j\"\n", 39 | "gds = GraphDataScience(DB_ULR, auth=(DB_USER, DB_PASS))" 40 | ] 41 | }, 42 | { 43 | "cell_type": "markdown", 44 | "id": "e694de76-4d50-4bb5-92b6-e3ac52a2a909", 45 | "metadata": {}, 46 | "source": [ 47 | "## Loading data into the graph" 48 | ] 49 | }, 50 | { 51 | "cell_type": "markdown", 52 | "id": "a8f01b46-5489-42cb-9442-1c7cd96bc257", 53 | "metadata": {}, 54 | "source": [ 55 | "Preprocessed data stored in https://github.com/EY-Tech-Consulting-Denmark/Graphathon-ATP/tree/main/Data/clean_data can be loaded into a Neo4j sandbox." 56 | ] 57 | }, 58 | { 59 | "cell_type": "markdown", 60 | "id": "f8d36247-291d-41be-837c-3a16c79b1803", 61 | "metadata": {}, 62 | "source": [ 63 | "### Loading the preprocessed data" 64 | ] 65 | }, 66 | { 67 | "cell_type": "code", 68 | "execution_count": null, 69 | "id": "5d71d660-883f-4180-ab77-8abab6c1c205", 70 | "metadata": {}, 71 | "outputs": [], 72 | "source": [ 73 | "data = pd.read_csv(\"https://raw.githubusercontent.com/EY-Tech-Consulting-Denmark/Graphathon-ATP/main/Data/clean_data/data.csv\")\n", 74 | "data.head()" 75 | ] 76 | }, 77 | { 78 | "cell_type": "markdown", 79 | "id": "837fe304", 80 | "metadata": {}, 81 | "source": [ 82 | "## Create the nodes in the graph\n", 83 | "Start with creating beneficiary nodes and attaching the chronic conditions they have as relationships (includes renal disease)" 84 | ] 85 | }, 86 | { 87 | "cell_type": "code", 88 | "execution_count": null, 89 | "id": "03d6dfb3-0826-4daa-a0a5-3686bffede5c", 90 | "metadata": {}, 91 | "outputs": [], 92 | "source": [ 93 | "# Create the Condition nodes \n", 94 | "gds.run_cypher('create constraint if not exists for (n:Condition) require (n.id) is node key')\n", 95 | "gds.run_cypher('''\n", 96 | " unwind [\n", 97 | " 'RenalDiseaseIndicator',\n", 98 | " 'ChronicCond_Alzheimer', 'ChronicCond_Heartfailure',\n", 99 | " 'ChronicCond_KidneyDisease', 'ChronicCond_Cancer',\n", 100 | " 'ChronicCond_ObstrPulmonary', 'ChronicCond_Depression',\n", 101 | " 'ChronicCond_Diabetes', 'ChronicCond_IschemicHeart',\n", 102 | " 'ChronicCond_Osteoporasis', 'ChronicCond_rheumatoidarthritis',\n", 103 | " 'ChronicCond_stroke'\n", 104 | " ] as conditionId\n", 105 | " merge (n:Condition{id: conditionId})\n", 106 | "''')" 107 | ] 108 | }, 109 | { 110 | "cell_type": "code", 111 | "execution_count": null, 112 | "id": "f1da55dc", 113 | "metadata": {}, 114 | "outputs": [], 115 | "source": [ 116 | "# Create Beneficiary nodes and connect them with HAS_CONDITION relationships to their corrosponding chronic conditions\n", 117 | "gds.run_cypher('create constraint if not exists for (n:Beneficiary) require (n.id) is node key')\n", 118 | "gds.run_cypher('''\n", 119 | " match (c:Condition)\n", 120 | " with collect(c) as conditions\n", 121 | " unwind $data as row\n", 122 | " merge (n:Beneficiary{id: row.BeneID})\n", 123 | " set n.dob = date(row.DOB),\n", 124 | " n.gender = row.Gender,\n", 125 | " n.race = row.Race,\n", 126 | " n.age = row.Age,\n", 127 | " n.state = row.State,\n", 128 | " n.county = row.County\n", 129 | " with conditions, n, row\n", 130 | " call {\n", 131 | " with row, conditions, n\n", 132 | " foreach(\n", 133 | " c in [x in conditions where row[x.id] = 1 or row[x.id] = 'Y' | x] |\n", 134 | " merge (n)-[:HAS_CONDITION]->(c)\n", 135 | " )\n", 136 | " }\n", 137 | "''', params = {'data': data.to_dict('records')})" 138 | ] 139 | }, 140 | { 141 | "cell_type": "code", 142 | "execution_count": null, 143 | "id": "533a9057", 144 | "metadata": {}, 145 | "outputs": [], 146 | "source": [ 147 | "# Add date of death (DOD) to beneficiaries who have passed away\n", 148 | "\n", 149 | "dead = data[['BeneID','DOD']].dropna()\n", 150 | "gds.run_cypher(''' \n", 151 | " unwind $data as row\n", 152 | " match (n:Beneficiary{id: row.BeneID})\n", 153 | " set n.dod = date(row.DOD)\n", 154 | "''', params = {'data': dead.to_dict('records')})" 155 | ] 156 | }, 157 | { 158 | "cell_type": "code", 159 | "execution_count": null, 160 | "id": "146cc55a", 161 | "metadata": {}, 162 | "outputs": [], 163 | "source": [ 164 | "# Create Provider nodes\n", 165 | "\n", 166 | "gds.run_cypher('create constraint if not exists for (n:Provider) require (n.id) is node key')\n", 167 | "label_dist = gds.run_cypher('''\n", 168 | " unwind $data as row\n", 169 | " merge (n:Provider{id: row.Provider})\n", 170 | " set n.fraud = case row.PotentialFraud when 1 then true else false end\n", 171 | " return n.fraud as is_fraud, count(*) as count\n", 172 | "''', params = {'data': data.to_dict('records')})\n", 173 | "label_dist.head()\n" 174 | ] 175 | }, 176 | { 177 | "cell_type": "markdown", 178 | "id": "3f5d2b87", 179 | "metadata": {}, 180 | "source": [ 181 | "### Create Claims Data\n", 182 | "\n", 183 | "Going to create a node for each Claim, Provider, Physician, Diagnosis, and Procedure code. Create the relationships between beneficiary and their claims." 184 | ] 185 | }, 186 | { 187 | "cell_type": "code", 188 | "execution_count": null, 189 | "id": "47ec06a8", 190 | "metadata": {}, 191 | "outputs": [], 192 | "source": [ 193 | "# Create claims data\n", 194 | "\n", 195 | "# Create constraints on our new node labels\n", 196 | "gds.run_cypher('create constraint if not exists for (n:Claim) require (n.id) is node key')\n", 197 | "gds.run_cypher('create constraint if not exists for (n:Provider) require (n.id) is node key')\n", 198 | "gds.run_cypher('create constraint if not exists for (n:Physician) require (n.id) is node key')\n", 199 | "gds.run_cypher('create constraint if not exists for (n:Diagnosis) require (n.id) is node key')\n", 200 | "gds.run_cypher('create constraint if not exists for (n:Procedure) require (n.id) is node key')\n", 201 | "\n", 202 | "claims_cypher = '''\n", 203 | " unwind $data as row\n", 204 | " merge (c:Claim{id: row.ClaimID})\n", 205 | " set c.startDate = date(row.ClaimStartDt),\n", 206 | " c.endDate = date(row.ClaimEndDt),\n", 207 | " c.admissionDate = date(row.AdmissionDt),\n", 208 | " c.dischargeDate = date(row.DischargeDt),\n", 209 | " c.deductibleAmt = row.DeductibleAmtPaid,\n", 210 | " c.reimbursedAmt = row.InscClaimAmtReimbursed,\n", 211 | " c.daysAdmitted = row.DaysAdmitted,\n", 212 | " c.daysClaimLasted = row.DaysClaimLasted,\n", 213 | " c.claimEndAfterDischarged = row.ClaimEndAfterDischarged \n", 214 | " merge (p:Provider{id: row.Provider})\n", 215 | " merge (c)-[:SUBMITTED_BY]->(p) \n", 216 | " merge (b:Beneficiary{id: row.BeneID})\n", 217 | " merge (c)-[:CREATED_FOR]->(b) \n", 218 | " '''\n", 219 | "\n", 220 | "gds.run_cypher(claims_cypher, params = {'data': data.to_dict('records')})" 221 | ] 222 | }, 223 | { 224 | "cell_type": "code", 225 | "execution_count": null, 226 | "id": "a4b848c2", 227 | "metadata": {}, 228 | "outputs": [], 229 | "source": [ 230 | "# Create Diagnoses code nodes and create the relationship ADMIT_DIAGNOSIS\n", 231 | "\n", 232 | "gds.run_cypher('''\n", 233 | " unwind $data as row\n", 234 | " match (c:Claim)\n", 235 | " where c.id = row.ClaimID\n", 236 | " merge (d:Diagnosis{id: row.ClmAdmitDiagnosisCode})\n", 237 | " merge (c)-[:HAS_ADMISSION_WITH]->(d) \n", 238 | "''', params = {'data': data.to_dict('records')})" 239 | ] 240 | }, 241 | { 242 | "cell_type": "code", 243 | "execution_count": null, 244 | "id": "32b60b17", 245 | "metadata": {}, 246 | "outputs": [], 247 | "source": [ 248 | "# Create Diagnoses code nodes and create the relationship ADMIT_DIAGNOSIS\n", 249 | "\n", 250 | "gds.run_cypher('''\n", 251 | " unwind $data as row\n", 252 | " match (c:Claim)\n", 253 | " where c.id = row.ClaimID\n", 254 | " merge (d:Diagnosis{id: row.DiagnosisGroupCode})\n", 255 | " merge (c)-[:HAS_GROUP_CODE_OF]->(d) \n", 256 | "''', params = {'data': data.to_dict('records')})" 257 | ] 258 | }, 259 | { 260 | "cell_type": "code", 261 | "execution_count": null, 262 | "id": "0ef09ec1", 263 | "metadata": {}, 264 | "outputs": [], 265 | "source": [ 266 | "# Create the relationships between claims and claim diagnoses codes\n", 267 | "\n", 268 | "gds.run_cypher('''\n", 269 | " unwind $data as row\n", 270 | " match (c:Claim)\n", 271 | " where c.id = row.ClaimID\n", 272 | " merge (d:Diagnosis{id: row.ClmDiagnosisCode_1})\n", 273 | " merge (c)-[:HAS_DIAGNOSIS_CODE_OF]->(d) \n", 274 | "''', params = {'data': data.to_dict('records')})\n", 275 | "\n", 276 | "claim_code_2 = data[['ClaimID','ClmDiagnosisCode_2']].dropna()\n", 277 | "\n", 278 | "gds.run_cypher(''' \n", 279 | " unwind $data as row\n", 280 | " match (c:Claim{id: row.ClaimID})\n", 281 | " merge (d:Diagnosis{id: row.ClmDiagnosisCode_2})\n", 282 | " merge (c)-[:HAS_DIAGNOSIS_CODE_OF]->(d) \n", 283 | "''', params = {'data': claim_code_2.to_dict('records')})\n", 284 | "\n", 285 | "claim_code_3 = data[['ClaimID','ClmDiagnosisCode_3']].dropna()\n", 286 | "\n", 287 | "gds.run_cypher(''' \n", 288 | " unwind $data as row\n", 289 | " match (c:Claim{id: row.ClaimID})\n", 290 | " merge (d:Diagnosis{id: row.ClmDiagnosisCode_3})\n", 291 | " merge (c)-[:HAS_DIAGNOSIS_CODE_OF]->(d) \n", 292 | "''', params = {'data': claim_code_3.to_dict('records')})\n", 293 | "\n", 294 | "claim_code_4 = data[['ClaimID','ClmDiagnosisCode_4']].dropna()\n", 295 | "\n", 296 | "gds.run_cypher(''' \n", 297 | " unwind $data as row\n", 298 | " match (c:Claim{id: row.ClaimID})\n", 299 | " merge (d:Diagnosis{id: row.ClmDiagnosisCode_4})\n", 300 | " merge (c)-[:HAS_DIAGNOSIS_CODE_OF]->(d) \n", 301 | "''', params = {'data': claim_code_4.to_dict('records')})\n", 302 | "\n", 303 | "claim_code_5 = data[['ClaimID','ClmDiagnosisCode_5']].dropna()\n", 304 | "\n", 305 | "gds.run_cypher(''' \n", 306 | " unwind $data as row\n", 307 | " match (c:Claim{id: row.ClaimID})\n", 308 | " merge (d:Diagnosis{id: row.ClmDiagnosisCode_5}) \n", 309 | " merge (c)-[:HAS_DIAGNOSIS_CODE_OF]->(d) \n", 310 | "''', params = {'data': claim_code_5.to_dict('records')})\n", 311 | "\n", 312 | "claim_code_6 = data[['ClaimID','ClmDiagnosisCode_6']].dropna()\n", 313 | "\n", 314 | "gds.run_cypher(''' \n", 315 | " unwind $data as row\n", 316 | " match (c:Claim{id: row.ClaimID})\n", 317 | " merge (d:Diagnosis{id: row.ClmDiagnosisCode_6})\n", 318 | " merge (c)-[:HAS_DIAGNOSIS_CODE_OF]->(d) \n", 319 | "''', params = {'data': claim_code_6.to_dict('records')})\n", 320 | "\n", 321 | "claim_code_7 = data[['ClaimID','ClmDiagnosisCode_7']].dropna()\n", 322 | "\n", 323 | "gds.run_cypher(''' \n", 324 | " unwind $data as row\n", 325 | " match (c:Claim{id: row.ClaimID})\n", 326 | " merge (d:Diagnosis{id: row.ClmDiagnosisCode_7})\n", 327 | " merge (c)-[:HAS_DIAGNOSIS_CODE_OF]->(d) \n", 328 | "''', params = {'data': claim_code_7.to_dict('records')})\n", 329 | "\n", 330 | "claim_code_8 = data[['ClaimID','ClmDiagnosisCode_8']].dropna()\n", 331 | "\n", 332 | "gds.run_cypher(''' \n", 333 | " unwind $data as row\n", 334 | " match (c:Claim{id: row.ClaimID})\n", 335 | " merge (d:Diagnosis{id: row.ClmDiagnosisCode_8})\n", 336 | " merge (c)-[:HAS_DIAGNOSIS_CODE_OF]->(d) \n", 337 | "''', params = {'data': claim_code_8.to_dict('records')})\n", 338 | "\n", 339 | "claim_code_9 = data[['ClaimID','ClmDiagnosisCode_9']].dropna()\n", 340 | "\n", 341 | "gds.run_cypher(''' \n", 342 | " unwind $data as row\n", 343 | " match (c:Claim{id: row.ClaimID})\n", 344 | " merge (d:Diagnosis{id: row.ClmDiagnosisCode_9})\n", 345 | " merge (c)-[:HAS_DIAGNOSIS_CODE_OF]->(d) \n", 346 | "''', params = {'data': claim_code_9.to_dict('records')})\n", 347 | "\n", 348 | "claim_code_10 = data[['ClaimID','ClmDiagnosisCode_10']].dropna()\n", 349 | "\n", 350 | "gds.run_cypher(''' \n", 351 | " unwind $data as row\n", 352 | " match (c:Claim{id: row.ClaimID})\n", 353 | " merge (d:Diagnosis{id: row.ClmDiagnosisCode_10})\n", 354 | " merge (c)-[:HAS_DIAGNOSIS_CODE_OF]->(d) \n", 355 | "''', params = {'data': claim_code_10.to_dict('records')})" 356 | ] 357 | }, 358 | { 359 | "cell_type": "markdown", 360 | "id": "4a2b09d7", 361 | "metadata": {}, 362 | "source": [ 363 | "### Add Procedure nodes and connect them with the claim nodes" 364 | ] 365 | }, 366 | { 367 | "cell_type": "code", 368 | "execution_count": null, 369 | "id": "c9d07171", 370 | "metadata": {}, 371 | "outputs": [], 372 | "source": [ 373 | "# Create the relationships between claims and procedure codes\n", 374 | "\n", 375 | "procedure_code_1 = data[['ClaimID','ClmProcedureCode_1']].dropna()\n", 376 | "\n", 377 | "gds.run_cypher('''\n", 378 | " unwind $data as row\n", 379 | " match (c:Claim)\n", 380 | " where c.id = row.ClaimID\n", 381 | " merge (d:Procedure{id: row.ClmProcedureCode_1}) \n", 382 | " merge (c)-[:HAS_PROCEDURE_CODE_OF]->(d)\n", 383 | "''', params = {'data': procedure_code_1.to_dict('records')})\n", 384 | "\n", 385 | "procedure_code_2 = data[['ClaimID','ClmProcedureCode_2']].dropna()\n", 386 | "\n", 387 | "gds.run_cypher(''' \n", 388 | " unwind $data as row\n", 389 | " match (c:Claim{id: row.ClaimID})\n", 390 | " merge (d:Procedure{id: row.ClmProcedureCode_2})\n", 391 | " merge (c)-[:HAS_PROCEDURE_CODE_OF]->(d)\n", 392 | "''', params = {'data': procedure_code_2.to_dict('records')})\n", 393 | "\n", 394 | "procedure_code_3 = data[['ClaimID','ClmProcedureCode_3']].dropna()\n", 395 | "\n", 396 | "gds.run_cypher(''' \n", 397 | " unwind $data as row\n", 398 | " match (c:Claim{id: row.ClaimID})\n", 399 | " merge (d:Procedure{id: row.ClmProcedureCode_3})\n", 400 | " merge (c)-[:HAS_PROCEDURE_CODE_OF]->(d)\n", 401 | "''', params = {'data': procedure_code_3.to_dict('records')})\n", 402 | "\n", 403 | "procedure_code_4 = data[['ClaimID','ClmProcedureCode_4']].dropna()\n", 404 | "\n", 405 | "gds.run_cypher(''' \n", 406 | " unwind $data as row\n", 407 | " match (c:Claim{id: row.ClaimID})\n", 408 | " merge (d:Procedure{id: row.ClmProcedureCode_4})\n", 409 | " merge (c)-[:HAS_PROCEDURE_CODE_OF]->(d)\n", 410 | "''', params = {'data': procedure_code_4.to_dict('records')})\n", 411 | "\n", 412 | "procedure_code_5 = data[['ClaimID','ClmProcedureCode_5']].dropna()\n", 413 | "\n", 414 | "gds.run_cypher(''' \n", 415 | " unwind $data as row\n", 416 | " match (c:Claim{id: row.ClaimID})\n", 417 | " merge (d:Procedure{id: row.ClmProcedureCode_5})\n", 418 | " merge (c)-[:HAS_PROCEDURE_CODE_OF]->(d)\n", 419 | "''', params = {'data': procedure_code_5.to_dict('records')})" 420 | ] 421 | }, 422 | { 423 | "cell_type": "markdown", 424 | "id": "69a2b0fd", 425 | "metadata": {}, 426 | "source": [ 427 | "### Add the Physician nodes" 428 | ] 429 | }, 430 | { 431 | "cell_type": "code", 432 | "execution_count": null, 433 | "id": "a9f15534", 434 | "metadata": {}, 435 | "outputs": [], 436 | "source": [ 437 | "# Add Physicians and their realtionship to the claim\n", 438 | "\n", 439 | "# Add attending physicians\n", 440 | "attend = data[['ClaimID','AttendingPhysician']].dropna()\n", 441 | "\n", 442 | "gds.run_cypher(''' \n", 443 | " unwind $data as row\n", 444 | " match (n:Claim{id: row.ClaimID})\n", 445 | " merge (ap:Physician{id: row.AttendingPhysician})\n", 446 | " merge (n)-[:HAS_ATTENDING]->(ap) \n", 447 | "''', params = {'data': attend.to_dict('records')})" 448 | ] 449 | }, 450 | { 451 | "cell_type": "code", 452 | "execution_count": null, 453 | "id": "876efbb9", 454 | "metadata": {}, 455 | "outputs": [], 456 | "source": [ 457 | "# Add operating physicians\n", 458 | "operating = data[['ClaimID','OperatingPhysician']].dropna()\n", 459 | "\n", 460 | "gds.run_cypher(''' \n", 461 | " unwind $data as row\n", 462 | " match (n:Claim{id: row.ClaimID})\n", 463 | " merge (ap:Physician{id: row.OperatingPhysician})\n", 464 | " merge (n)-[:HAS_OPERATING]->(ap) \n", 465 | "''', params = {'data': operating.to_dict('records')})" 466 | ] 467 | }, 468 | { 469 | "cell_type": "code", 470 | "execution_count": null, 471 | "id": "41d988df", 472 | "metadata": {}, 473 | "outputs": [], 474 | "source": [ 475 | "# Add other physicians\n", 476 | "other = data[['ClaimID','OtherPhysician']].dropna()\n", 477 | "\n", 478 | "gds.run_cypher(''' \n", 479 | " unwind $data as row\n", 480 | " match (n:Claim{id: row.ClaimID})\n", 481 | " merge (ap:Physician{id: row.OtherPhysician})\n", 482 | " merge (n)-[:HAS_OTHER]->(ap) \n", 483 | "''', params = {'data': other.to_dict('records')})" 484 | ] 485 | }, 486 | { 487 | "cell_type": "markdown", 488 | "id": "6b441cf8", 489 | "metadata": {}, 490 | "source": [ 491 | "This marks the end of data loading here is the final schema of the data. To see this in the sandbox execute: CALL db.schema.visualization()" 492 | ] 493 | } 494 | ], 495 | "metadata": { 496 | "kernelspec": { 497 | "display_name": "Python 3 (ipykernel)", 498 | "language": "python", 499 | "name": "python3" 500 | }, 501 | "language_info": { 502 | "codemirror_mode": { 503 | "name": "ipython", 504 | "version": 3 505 | }, 506 | "file_extension": ".py", 507 | "mimetype": "text/x-python", 508 | "name": "python", 509 | "nbconvert_exporter": "python", 510 | "pygments_lexer": "ipython3", 511 | "version": "3.9.7" 512 | }, 513 | "vscode": { 514 | "interpreter": { 515 | "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6" 516 | } 517 | } 518 | }, 519 | "nbformat": 4, 520 | "nbformat_minor": 5 521 | } 522 | -------------------------------------------------------------------------------- /Notebooks/DataPreparation.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": null, 6 | "id": "1edff3b1-f689-4805-b822-28dd5953c207", 7 | "metadata": {}, 8 | "outputs": [], 9 | "source": [ 10 | "import os\n", 11 | "import sys\n", 12 | "import math\n", 13 | "import scipy as scipy\n", 14 | "import numpy as np\n", 15 | "import pandas as pd\n", 16 | "import matplotlib.pyplot as plt\n", 17 | "import seaborn as sns\n", 18 | "\n", 19 | "%matplotlib inline\n", 20 | "import warnings\n", 21 | "warnings.filterwarnings('ignore')\n", 22 | "warnings.simplefilter('ignore')\n", 23 | "pd.set_option('display.max_columns',100)" 24 | ] 25 | }, 26 | { 27 | "cell_type": "markdown", 28 | "id": "dbc81982-4ce4-4f29-bd46-2dcdefc7d14e", 29 | "metadata": {}, 30 | "source": [ 31 | "### Project Objectives\n", 32 | "Provider Fraud is one of the biggest problems facing Medicare. According to the government, the total Medicare spending increased exponentially due to frauds in Medicare claims. Healthcare fraud is an organized crime which involves peers of providers, physicians, beneficiaries acting together to make fraud claims.\n", 33 | "\n", 34 | "Rigorous analysis of Medicare data has yielded many physicians who indulge in fraud. They adopt ways in which an ambiguous diagnosis code is used to adopt costliest procedures and drugs. Insurance companies are the most vulnerable institutions impacted due to these bad practices. Due to this reason, insurance companies increased their insurance premiums and as result healthcare is becoming costly matter day by day.\n", 35 | "\n", 36 | "Healthcare fraud and abuse take many forms. Some of the most common types of frauds by providers are:\n", 37 | "\n", 38 | "a) Billing for services that were not provided.\n", 39 | "\n", 40 | "b) Duplicate submission of a claim for the same service.\n", 41 | "\n", 42 | "c) Misrepresenting the service provided.\n", 43 | "\n", 44 | "d) Charging for a more complex or expensive service than was actually provided.\n", 45 | "\n", 46 | "e) Billing for a covered service when the service actually provided was not covered.\n", 47 | "\n", 48 | "Problem Statement\n", 49 | "The goal of this project is to \" predict the potentially fraudulent providers \" based on the claims filed by them.along with this, we will also discover important variables helpful in detecting the behaviour of potentially fraud providers. further, we will study fraudulent patterns in the provider's claims to understand the future behaviour of providers.\n", 50 | "\n", 51 | "Introduction to the Dataset\n", 52 | "For the purpose of this project, we are considering Inpatient claims, Outpatient claims and Beneficiary details of each provider. Lets s see their details" 53 | ] 54 | }, 55 | { 56 | "cell_type": "markdown", 57 | "id": "9a40af4c-8d63-4a16-b49e-1a1fea216736", 58 | "metadata": {}, 59 | "source": [ 60 | "### Data loading\n", 61 | "\n", 62 | "Data are loaded from the public github repository https://github.com/EY-Tech-Consulting-Denmark/Graphathon-ATP/tree/main/Data/raw_data" 63 | ] 64 | }, 65 | { 66 | "cell_type": "code", 67 | "execution_count": null, 68 | "id": "fe289084-055d-4f05-be8b-7b81ec11689d", 69 | "metadata": {}, 70 | "outputs": [], 71 | "source": [ 72 | "beneficiary = pd.read_csv(\"https://raw.githubusercontent.com/EY-Tech-Consulting-Denmark/Graphathon-ATP/main/Data/raw_data/Train_Beneficiarydata-1542865627584.csv\")\n", 73 | "inpatient = pd.read_csv(\"https://raw.githubusercontent.com/EY-Tech-Consulting-Denmark/Graphathon-ATP/main/Data/raw_data/Train_Inpatientdata-1542865627584.csv\")\n", 74 | "label = pd.read_csv(\"https://raw.githubusercontent.com/EY-Tech-Consulting-Denmark/Graphathon-ATP/main/Data/raw_data/Train-1542865627584.csv\")" 75 | ] 76 | }, 77 | { 78 | "cell_type": "markdown", 79 | "id": "04e91565-2d04-4abb-938f-8e0fbe28958a", 80 | "metadata": {}, 81 | "source": [ 82 | "#### Label data\n", 83 | "This is of list historical data about each provider in the overall dataset. \n", 84 | "This information will allow for detecting patterns that in the future will help to identify whether new, unfamiliar providers are potentially fraudulent or not.\n" 85 | ] 86 | }, 87 | { 88 | "cell_type": "code", 89 | "execution_count": null, 90 | "id": "bce2d06d-eb68-4a64-872e-6c28d88b251d", 91 | "metadata": {}, 92 | "outputs": [], 93 | "source": [ 94 | "label.head()" 95 | ] 96 | }, 97 | { 98 | "cell_type": "code", 99 | "execution_count": null, 100 | "id": "14944f2a-e6d3-4e45-8865-573a32120ddd", 101 | "metadata": {}, 102 | "outputs": [], 103 | "source": [ 104 | "label.shape" 105 | ] 106 | }, 107 | { 108 | "cell_type": "code", 109 | "execution_count": null, 110 | "id": "0fb9d6a5-8541-4c37-af50-8efa72873e37", 111 | "metadata": {}, 112 | "outputs": [], 113 | "source": [ 114 | "# class imballance check\n", 115 | "label_overview = label.groupby(\"PotentialFraud\").size()\n", 116 | "print(label_overview)\n", 117 | "label_overview.plot(kind='bar')" 118 | ] 119 | }, 120 | { 121 | "cell_type": "markdown", 122 | "id": "bffe1437-6d62-44c6-a57d-89d705857893", 123 | "metadata": { 124 | "tags": [] 125 | }, 126 | "source": [ 127 | "#### Beneficiary data\n", 128 | "\n", 129 | "This data contains beneficiary KYC details like health conditions,regioregion they belong to etc. \n", 130 | "This dataset contains both patients that were admitted to the hospital and patients who were not admitted to the hospital. \n", 131 | "Data about patients who were not admitted to the hospital will be disregarded when merging with the other dataset. \n" 132 | ] 133 | }, 134 | { 135 | "cell_type": "code", 136 | "execution_count": null, 137 | "id": "d20f0e9c-f135-48a1-92e4-cb1b4fa1e0fd", 138 | "metadata": {}, 139 | "outputs": [], 140 | "source": [ 141 | "beneficiary.head()" 142 | ] 143 | }, 144 | { 145 | "cell_type": "code", 146 | "execution_count": null, 147 | "id": "6f6b9337-68bf-4902-aabe-e4a19aca174c", 148 | "metadata": {}, 149 | "outputs": [], 150 | "source": [ 151 | "beneficiary.shape" 152 | ] 153 | }, 154 | { 155 | "cell_type": "code", 156 | "execution_count": null, 157 | "id": "d5a8004c-19d0-4516-92b4-154c359cc0c5", 158 | "metadata": {}, 159 | "outputs": [], 160 | "source": [ 161 | "beneficiary.describe()" 162 | ] 163 | }, 164 | { 165 | "cell_type": "code", 166 | "execution_count": null, 167 | "id": "697d26dd-e882-4a9c-80a6-a3760211b116", 168 | "metadata": {}, 169 | "outputs": [], 170 | "source": [ 171 | "# missing values check\n", 172 | "beneficiary.isna().sum()" 173 | ] 174 | }, 175 | { 176 | "cell_type": "markdown", 177 | "id": "ff413326-87b8-47af-aed8-b18e250ac842", 178 | "metadata": {}, 179 | "source": [ 180 | "Missing value of \"DOD\" column imply that the patients is still alive. \n", 181 | "The missing values will be replaced with '0' in the Feature engineering process later. " 182 | ] 183 | }, 184 | { 185 | "cell_type": "markdown", 186 | "id": "64ac7ad4-6a9f-4542-9073-3bdb27296920", 187 | "metadata": {}, 188 | "source": [ 189 | "#### Inpatient data\n", 190 | "This data provides insights about the claims filed for those patients who are admitted in the hospitals. It also provides additional details like their admission and discharge dates and admit diagnosis code. \n", 191 | "Later will be this dataset merged with the Beneficiary data dataset presented above. " 192 | ] 193 | }, 194 | { 195 | "cell_type": "code", 196 | "execution_count": null, 197 | "id": "229b1fc6-0c6d-4ebc-b07c-c15c593c9ffe", 198 | "metadata": {}, 199 | "outputs": [], 200 | "source": [ 201 | "inpatient.head()" 202 | ] 203 | }, 204 | { 205 | "cell_type": "code", 206 | "execution_count": null, 207 | "id": "8ef573de-dda6-476a-80c8-25e406c8a78d", 208 | "metadata": {}, 209 | "outputs": [], 210 | "source": [ 211 | "inpatient.shape" 212 | ] 213 | }, 214 | { 215 | "cell_type": "code", 216 | "execution_count": null, 217 | "id": "7189b56c-9a2a-40ce-a8f6-49e68e4336fe", 218 | "metadata": {}, 219 | "outputs": [], 220 | "source": [ 221 | "inpatient.describe()" 222 | ] 223 | }, 224 | { 225 | "cell_type": "markdown", 226 | "id": "7a11f637-b54d-495a-9a6e-1cda2ae9cc4f", 227 | "metadata": {}, 228 | "source": [ 229 | "'ClmProcedureCode_6' column is empty for each row, hence will be dropped in Feature engineering step." 230 | ] 231 | }, 232 | { 233 | "cell_type": "code", 234 | "execution_count": null, 235 | "id": "ec1f559c-e852-4ae5-a45e-43bce5e8c213", 236 | "metadata": {}, 237 | "outputs": [], 238 | "source": [ 239 | "# missing values check\n", 240 | "inpatient.isna().sum()" 241 | ] 242 | }, 243 | { 244 | "cell_type": "markdown", 245 | "id": "3640977b-75ae-4e4c-8d78-739ae0215f21", 246 | "metadata": {}, 247 | "source": [ 248 | "Bassed on the context the missing values are not errors but simply not present physician/diagnosis/condition/procedure or that there was no deductible amount paid (missing values of 'DeductibleAmtPaid'). \n", 249 | "Therefor there is no need to apply filling in missing value technique in the Feature engineering step. " 250 | ] 251 | }, 252 | { 253 | "cell_type": "markdown", 254 | "id": "26a6b8ce-9161-48b6-b935-447c2052c97f", 255 | "metadata": {}, 256 | "source": [ 257 | "### Merging of the datasets" 258 | ] 259 | }, 260 | { 261 | "cell_type": "markdown", 262 | "id": "43dafd6f-ab92-4e90-9a77-7a6003a2bd4b", 263 | "metadata": {}, 264 | "source": [ 265 | "Beneficiary dataset can be merged with the Inpatient dataset on the 'BeneID' column. \n", 266 | "In order to keep only patiens admitted to the hospital, inner join will be utilized. \n", 267 | "The label dataset will be then added through inner join utilizing 'Provider' column. " 268 | ] 269 | }, 270 | { 271 | "cell_type": "code", 272 | "execution_count": null, 273 | "id": "ed842f90-c0a6-4ca0-8857-e3e20ace85a6", 274 | "metadata": {}, 275 | "outputs": [], 276 | "source": [ 277 | "# Merging beneficiary and inpatient datasets\n", 278 | "data = pd.merge(beneficiary, inpatient, on='BeneID', how='inner')\n", 279 | "# adding the label\n", 280 | "data = pd.merge(data, label, on='Provider', how='inner')" 281 | ] 282 | }, 283 | { 284 | "cell_type": "code", 285 | "execution_count": null, 286 | "id": "b9cdb6d0-78a6-4f52-8b47-a883f3b3815a", 287 | "metadata": {}, 288 | "outputs": [], 289 | "source": [ 290 | "data.shape" 291 | ] 292 | }, 293 | { 294 | "cell_type": "code", 295 | "execution_count": null, 296 | "id": "d3ebcf2b-34bc-4b79-9c47-c6becd6d4f40", 297 | "metadata": {}, 298 | "outputs": [], 299 | "source": [ 300 | "data.head()" 301 | ] 302 | }, 303 | { 304 | "cell_type": "markdown", 305 | "id": "a786c801-1520-4f75-a9d1-1c66f16f52f5", 306 | "metadata": {}, 307 | "source": [ 308 | "### Balancing of the dataset" 309 | ] 310 | }, 311 | { 312 | "cell_type": "markdown", 313 | "id": "2c218b8b-a8c7-4d07-bb11-4e62d13b4d90", 314 | "metadata": {}, 315 | "source": [ 316 | "## SMOTE???" 317 | ] 318 | }, 319 | { 320 | "cell_type": "markdown", 321 | "id": "5b2a832a-4a64-47d0-88d4-d495a357b7f7", 322 | "metadata": {}, 323 | "source": [ 324 | "### Feature engineering" 325 | ] 326 | }, 327 | { 328 | "cell_type": "code", 329 | "execution_count": null, 330 | "id": "6b4e6df9-a2fc-4f61-b258-f2bc75135d27", 331 | "metadata": {}, 332 | "outputs": [], 333 | "source": [ 334 | "# data types check\n", 335 | "data.dtypes" 336 | ] 337 | }, 338 | { 339 | "cell_type": "code", 340 | "execution_count": null, 341 | "id": "ecb89f6d-5f1f-4aca-b93c-254426687d10", 342 | "metadata": {}, 343 | "outputs": [], 344 | "source": [ 345 | "# Fixing the date columns\n", 346 | "date_cols = ['DOB', 'ClaimStartDt', 'DOD', 'ClaimEndDt', 'AdmissionDt', 'DischargeDt']\n", 347 | "for date_col in date_cols:\n", 348 | " data[date_col] = pd.to_datetime(data[date_col])\n", 349 | "data.head()" 350 | ] 351 | }, 352 | { 353 | "cell_type": "code", 354 | "execution_count": null, 355 | "id": "07690110-163d-4b46-bb7b-77c4a36b1328", 356 | "metadata": {}, 357 | "outputs": [], 358 | "source": [ 359 | "# Dropping column ClmProcedureCode_6 as it is empty for every claim\n", 360 | "data.drop('ClmProcedureCode_6', axis=1, inplace=True)\n", 361 | "data.head()" 362 | ] 363 | }, 364 | { 365 | "cell_type": "code", 366 | "execution_count": null, 367 | "id": "c9d6ebb5-8f02-469c-a5cd-e652ed95f881", 368 | "metadata": {}, 369 | "outputs": [], 370 | "source": [ 371 | "# Fixing procedures codes\n", 372 | "procedure_cols = ['ClmProcedureCode_1', 'ClmProcedureCode_2', 'ClmProcedureCode_3', 'ClmProcedureCode_4', 'ClmProcedureCode_5']\n", 373 | "for col in procedure_cols:\n", 374 | " data[col] = data[col].apply(lambda x: \"{:.0f}\".format(x) if x is not None else x)\n", 375 | "data.head()" 376 | ] 377 | }, 378 | { 379 | "cell_type": "markdown", 380 | "id": "eac12fe4-d8d2-488b-a320-603da827b3eb", 381 | "metadata": {}, 382 | "source": [ 383 | "Each patient can make multiple claims and hence the age and information should be calculated on the claim level. \n", 384 | "Since the claim can is made while the patient is still alive, the flag whether the customer is dead or not is calculated on a 'patient' level. \n", 385 | "For these purposes are utilized columns date of birth ('DOB'), date of death ('DOD') and the date of start of the claim ('ClaimStartDt')" 386 | ] 387 | }, 388 | { 389 | "cell_type": "code", 390 | "execution_count": null, 391 | "id": "09669fc1-f96e-461d-8490-e0c318017eec", 392 | "metadata": {}, 393 | "outputs": [], 394 | "source": [ 395 | "# adding age of the patient when the claim started column\n", 396 | "data['Age'] = round(((data['ClaimStartDt'] - data['DOB']).dt.days)/365)\n", 397 | "# adding whether the patient is dead or not\n", 398 | "data['IsDead'] = np.where(data['DOD'].isna(), 0, 1)\n", 399 | "data.head()" 400 | ] 401 | }, 402 | { 403 | "cell_type": "markdown", 404 | "id": "a4607488-b654-4768-a2d5-7c5d6f335e9a", 405 | "metadata": {}, 406 | "source": [ 407 | "Out of the provided dates can be calculated number of days the patient spent in the hospital, \n", 408 | "how long the claim lasted and whether the claim ended after the patient was already discharged from the hospital." 409 | ] 410 | }, 411 | { 412 | "cell_type": "code", 413 | "execution_count": null, 414 | "id": "b2b1a939-468b-4320-a98f-25513845195c", 415 | "metadata": {}, 416 | "outputs": [], 417 | "source": [ 418 | "data['DaysAdmitted'] = ((data['DischargeDt'] - data['AdmissionDt']).dt.days)+1\n", 419 | "data['DaysClaimLasted'] = ((data['ClaimEndDt'] - data['ClaimStartDt']).dt.days)+1\n", 420 | "data['ClaimEndAfterDischarged'] = np.where(data['ClaimEndDt'] > data['DischargeDt'], 1, 0)\n", 421 | "data.head()" 422 | ] 423 | }, 424 | { 425 | "cell_type": "code", 426 | "execution_count": null, 427 | "id": "c4727594-da90-49e9-9f68-fbd4e74d4539", 428 | "metadata": {}, 429 | "outputs": [], 430 | "source": [ 431 | "# replacing missing deductible amount paid with 0\n", 432 | "data.loc[data['DeductibleAmtPaid'].isnull(), 'DeductibleAmtPaid'] = '0'" 433 | ] 434 | }, 435 | { 436 | "cell_type": "markdown", 437 | "id": "afd7515f-0eca-40da-9f99-d407aea21660", 438 | "metadata": {}, 439 | "source": [ 440 | "Physicians codes, diagnosis codes and procedures codes variables has many categories and that is why TotalPhysicians, TotalDiagnosis and TotalProcedures columns are engineered." 441 | ] 442 | }, 443 | { 444 | "cell_type": "code", 445 | "execution_count": null, 446 | "id": "d1643ab5-2445-4493-936f-6199e3873a64", 447 | "metadata": {}, 448 | "outputs": [], 449 | "source": [ 450 | "# creating helper dataframe to calculate the totals\n", 451 | "cols= ['AttendingPhysician', 'OperatingPhysician', 'OtherPhysician', \n", 452 | " 'ClmAdmitDiagnosisCode', 'ClmDiagnosisCode_1', 'ClmDiagnosisCode_10',\n", 453 | " 'ClmDiagnosisCode_2', 'ClmDiagnosisCode_3', 'ClmDiagnosisCode_4',\n", 454 | " 'ClmDiagnosisCode_5', 'ClmDiagnosisCode_6', 'ClmDiagnosisCode_7',\n", 455 | " 'ClmDiagnosisCode_8', 'ClmDiagnosisCode_9', 'ClmProcedureCode_1',\n", 456 | " 'ClmProcedureCode_2', 'ClmProcedureCode_3', 'ClmProcedureCode_4',\n", 457 | " 'ClmProcedureCode_5']\n", 458 | "helper_df = data[cols].copy()\n", 459 | "# replacing missing values with 0 in the helper dataframe\n", 460 | "helper_df[cols]= helper_df[cols].replace({np.nan:0})\n", 461 | "# replacing codes with number 1 for easy counting\n", 462 | "for i in cols:\n", 463 | " helper_df[i][helper_df[i]!=0]= 1\n", 464 | "helper_df.head(20)" 465 | ] 466 | }, 467 | { 468 | "cell_type": "code", 469 | "execution_count": null, 470 | "id": "0b48d50a-83b5-49fa-baa0-0c7c29f1b2c9", 471 | "metadata": {}, 472 | "outputs": [], 473 | "source": [ 474 | "helper_df[cols]= helper_df[cols].astype(int)" 475 | ] 476 | }, 477 | { 478 | "cell_type": "code", 479 | "execution_count": null, 480 | "id": "b60bf11c-adc8-4072-a533-b7e0a088aa6a", 481 | "metadata": {}, 482 | "outputs": [], 483 | "source": [ 484 | "data['TotalDiagnosis']= helper_df['ClmDiagnosisCode_1']+helper_df['ClmDiagnosisCode_10']+ \\\n", 485 | "helper_df['ClmDiagnosisCode_2']+ helper_df['ClmDiagnosisCode_3']+ helper_df['ClmDiagnosisCode_4']+ \\\n", 486 | "helper_df['ClmDiagnosisCode_5']+ helper_df['ClmDiagnosisCode_6']+ helper_df['ClmDiagnosisCode_7']+helper_df['ClmDiagnosisCode_8']+ helper_df['ClmDiagnosisCode_9']" 487 | ] 488 | }, 489 | { 490 | "cell_type": "code", 491 | "execution_count": null, 492 | "id": "623fa4d1-e911-47dc-9440-eb9b943dd99b", 493 | "metadata": {}, 494 | "outputs": [], 495 | "source": [ 496 | "data['TotalProcedures']= helper_df['ClmProcedureCode_1']+helper_df['ClmProcedureCode_2']+helper_df['ClmProcedureCode_3']+ \\\n", 497 | "helper_df['ClmProcedureCode_4']+ helper_df['ClmProcedureCode_5']" 498 | ] 499 | }, 500 | { 501 | "cell_type": "code", 502 | "execution_count": null, 503 | "id": "2b1be030-7cc9-4793-b4a8-9e5db22f4654", 504 | "metadata": {}, 505 | "outputs": [], 506 | "source": [ 507 | "data['TotalPhysicians']= helper_df['AttendingPhysician']+helper_df['OperatingPhysician']+ \\\n", 508 | " helper_df['OtherPhysician']" 509 | ] 510 | }, 511 | { 512 | "cell_type": "code", 513 | "execution_count": null, 514 | "id": "42ef02ef-3c88-4996-90ec-9f87de905cef", 515 | "metadata": {}, 516 | "outputs": [], 517 | "source": [ 518 | "data.head()" 519 | ] 520 | }, 521 | { 522 | "cell_type": "markdown", 523 | "id": "dff60dee-4057-40ac-b689-218016fcf679", 524 | "metadata": {}, 525 | "source": [ 526 | "RenalDiseaseIndicator column has 2 values populated in another way compared with other columns, hence the values are replaced with True and False" 527 | ] 528 | }, 529 | { 530 | "cell_type": "code", 531 | "execution_count": null, 532 | "id": "19744b47-c6fa-49c7-bbfd-b684770d57ca", 533 | "metadata": {}, 534 | "outputs": [], 535 | "source": [ 536 | "# values check\n", 537 | "data['RenalDiseaseIndicator'].value_counts()" 538 | ] 539 | }, 540 | { 541 | "cell_type": "code", 542 | "execution_count": null, 543 | "id": "d6e33be6-cf8a-4202-8781-ccdb052ba0a7", 544 | "metadata": {}, 545 | "outputs": [], 546 | "source": [ 547 | "# Value update\n", 548 | "data['RenalDiseaseIndicator']= data['RenalDiseaseIndicator'].replace({'Y':True,'0':False})\n", 549 | "data.head()" 550 | ] 551 | }, 552 | { 553 | "cell_type": "code", 554 | "execution_count": null, 555 | "id": "99d63018-96e3-4092-8f92-73468d724de3", 556 | "metadata": {}, 557 | "outputs": [], 558 | "source": [ 559 | "# Value update\n", 560 | "data['PotentialFraud']= data['PotentialFraud'].replace({'Yes':1,'No':0})\n", 561 | "data.head()" 562 | ] 563 | }, 564 | { 565 | "cell_type": "code", 566 | "execution_count": null, 567 | "id": "d751f407-7313-48f0-8371-7de069dc61bd", 568 | "metadata": {}, 569 | "outputs": [], 570 | "source": [ 571 | "data.columns" 572 | ] 573 | }, 574 | { 575 | "cell_type": "markdown", 576 | "id": "59d752c0-72c8-4b2f-a9ea-875eb79ab9bc", 577 | "metadata": {}, 578 | "source": [ 579 | "Values True and False can't be fed into the machine learning algorithm, hence are replaced with 1 and 0 respectively." 580 | ] 581 | }, 582 | { 583 | "cell_type": "code", 584 | "execution_count": null, 585 | "id": "43684254-3427-4413-a70c-906a1067bf27", 586 | "metadata": {}, 587 | "outputs": [], 588 | "source": [ 589 | "binary_cols = ['ClaimEndAfterDischarged', 'IsDead', 'PotentialFraud', 'RenalDiseaseIndicator']\n", 590 | "for col in binary_cols:\n", 591 | " data[col] = np.where(data[col]==True, 1, 0)\n", 592 | "data.head()" 593 | ] 594 | }, 595 | { 596 | "cell_type": "markdown", 597 | "id": "b9d6e0bf-4d5e-439b-993a-98cccdb8db1b", 598 | "metadata": {}, 599 | "source": [ 600 | "### Data saving" 601 | ] 602 | }, 603 | { 604 | "cell_type": "markdown", 605 | "id": "a8f9ba82-3ef9-41bc-aaac-129c9b8752fc", 606 | "metadata": {}, 607 | "source": [ 608 | "The preprocessed data are saved back to github to the separate folder https://raw.githubusercontent.com/EY-Tech-Consulting-Denmark/Graphathon-ATP/main/Data/clean_data. \n", 609 | "Data prepared like this will be used to build a graph database and for the machine learning." 610 | ] 611 | }, 612 | { 613 | "cell_type": "code", 614 | "execution_count": null, 615 | "id": "a770ae79-e92f-48f8-8d65-5a6fb74a4455", 616 | "metadata": {}, 617 | "outputs": [], 618 | "source": [ 619 | "data.to_csv(\"https://raw.githubusercontent.com/EY-Tech-Consulting-Denmark/Graphathon-ATP/main/Data/clean_data/data.csv\", index=False)" 620 | ] 621 | }, 622 | { 623 | "cell_type": "code", 624 | "execution_count": null, 625 | "id": "4a726741-9ca4-4ce6-96fc-4ea46296bc97", 626 | "metadata": {}, 627 | "outputs": [], 628 | "source": [] 629 | } 630 | ], 631 | "metadata": { 632 | "kernelspec": { 633 | "display_name": "Python 3 (ipykernel)", 634 | "language": "python", 635 | "name": "python3" 636 | }, 637 | "language_info": { 638 | "codemirror_mode": { 639 | "name": "ipython", 640 | "version": 3 641 | }, 642 | "file_extension": ".py", 643 | "mimetype": "text/x-python", 644 | "name": "python", 645 | "nbconvert_exporter": "python", 646 | "pygments_lexer": "ipython3", 647 | "version": "3.9.7" 648 | } 649 | }, 650 | "nbformat": 4, 651 | "nbformat_minor": 5 652 | } 653 | -------------------------------------------------------------------------------- /Data/raw_data/Train-1542865627584.csv: -------------------------------------------------------------------------------- 1 | "Provider","PotentialFraud" 2 | "PRV51001","No" 3 | "PRV51003","Yes" 4 | "PRV51004","No" 5 | "PRV51005","Yes" 6 | "PRV51007","No" 7 | "PRV51008","No" 8 | "PRV51011","No" 9 | "PRV51012","No" 10 | "PRV51013","No" 11 | "PRV51014","No" 12 | "PRV51015","No" 13 | "PRV51016","No" 14 | "PRV51017","No" 15 | "PRV51021","Yes" 16 | "PRV51023","No" 17 | "PRV51024","No" 18 | "PRV51025","No" 19 | "PRV51026","No" 20 | "PRV51027","No" 21 | "PRV51029","No" 22 | "PRV51030","No" 23 | "PRV51031","No" 24 | "PRV51032","No" 25 | "PRV51035","No" 26 | "PRV51036","No" 27 | "PRV51037","Yes" 28 | "PRV51038","No" 29 | "PRV51040","No" 30 | "PRV51041","No" 31 | "PRV51042","No" 32 | "PRV51043","No" 33 | "PRV51044","No" 34 | "PRV51045","No" 35 | "PRV51046","No" 36 | "PRV51047","No" 37 | "PRV51048","No" 38 | "PRV51049","No" 39 | "PRV51052","Yes" 40 | "PRV51053","No" 41 | "PRV51054","No" 42 | "PRV51055","No" 43 | "PRV51056","No" 44 | "PRV51057","No" 45 | "PRV51058","No" 46 | "PRV51059","Yes" 47 | "PRV51060","No" 48 | "PRV51061","No" 49 | "PRV51062","No" 50 | "PRV51063","No" 51 | "PRV51064","Yes" 52 | "PRV51065","No" 53 | "PRV51066","No" 54 | "PRV51067","Yes" 55 | "PRV51068","No" 56 | "PRV51070","No" 57 | "PRV51071","No" 58 | "PRV51072","No" 59 | "PRV51074","No" 60 | "PRV51075","No" 61 | "PRV51076","No" 62 | "PRV51077","Yes" 63 | "PRV51078","No" 64 | "PRV51081","No" 65 | "PRV51082","No" 66 | "PRV51083","No" 67 | "PRV51084","Yes" 68 | "PRV51086","No" 69 | "PRV51089","No" 70 | "PRV51090","No" 71 | "PRV51091","No" 72 | "PRV51093","No" 73 | "PRV51096","No" 74 | "PRV51097","No" 75 | "PRV51098","No" 76 | "PRV51100","No" 77 | "PRV51101","No" 78 | "PRV51102","No" 79 | "PRV51103","Yes" 80 | "PRV51104","No" 81 | "PRV51105","No" 82 | "PRV51108","No" 83 | "PRV51109","No" 84 | "PRV51110","No" 85 | "PRV51111","No" 86 | "PRV51112","No" 87 | "PRV51113","No" 88 | "PRV51114","No" 89 | "PRV51115","No" 90 | "PRV51117","No" 91 | "PRV51118","No" 92 | "PRV51119","Yes" 93 | "PRV51120","No" 94 | "PRV51121","No" 95 | "PRV51122","No" 96 | "PRV51123","No" 97 | "PRV51125","No" 98 | "PRV51126","Yes" 99 | "PRV51128","No" 100 | "PRV51129","No" 101 | "PRV51130","No" 102 | "PRV51131","No" 103 | "PRV51132","No" 104 | "PRV51134","No" 105 | "PRV51135","No" 106 | "PRV51136","No" 107 | "PRV51137","No" 108 | "PRV51138","No" 109 | "PRV51139","No" 110 | "PRV51140","No" 111 | "PRV51141","No" 112 | "PRV51142","No" 113 | "PRV51143","No" 114 | "PRV51144","No" 115 | "PRV51145","Yes" 116 | "PRV51146","Yes" 117 | "PRV51147","No" 118 | "PRV51148","Yes" 119 | "PRV51149","Yes" 120 | "PRV51151","No" 121 | "PRV51152","No" 122 | "PRV51153","No" 123 | "PRV51154","No" 124 | "PRV51155","No" 125 | "PRV51156","No" 126 | "PRV51159","Yes" 127 | "PRV51160","No" 128 | "PRV51164","No" 129 | "PRV51165","No" 130 | "PRV51166","No" 131 | "PRV51167","No" 132 | "PRV51168","No" 133 | "PRV51169","No" 134 | "PRV51170","Yes" 135 | "PRV51171","No" 136 | "PRV51173","Yes" 137 | "PRV51175","No" 138 | "PRV51176","No" 139 | "PRV51178","Yes" 140 | "PRV51179","No" 141 | "PRV51180","No" 142 | "PRV51181","No" 143 | "PRV51183","No" 144 | "PRV51185","No" 145 | "PRV51186","No" 146 | "PRV51189","No" 147 | "PRV51190","No" 148 | "PRV51191","No" 149 | "PRV51194","No" 150 | "PRV51196","No" 151 | "PRV51198","No" 152 | "PRV51200","No" 153 | "PRV51201","No" 154 | "PRV51202","No" 155 | "PRV51203","No" 156 | "PRV51204","No" 157 | "PRV51205","No" 158 | "PRV51206","No" 159 | "PRV51207","No" 160 | "PRV51209","No" 161 | "PRV51210","No" 162 | "PRV51211","No" 163 | "PRV51212","No" 164 | "PRV51213","No" 165 | "PRV51214","No" 166 | "PRV51215","No" 167 | "PRV51216","No" 168 | "PRV51217","No" 169 | "PRV51218","No" 170 | "PRV51219","No" 171 | "PRV51221","No" 172 | "PRV51222","No" 173 | "PRV51224","No" 174 | "PRV51225","No" 175 | "PRV51226","No" 176 | "PRV51228","No" 177 | "PRV51229","No" 178 | "PRV51230","No" 179 | "PRV51231","No" 180 | "PRV51232","No" 181 | "PRV51233","No" 182 | "PRV51234","No" 183 | "PRV51235","No" 184 | "PRV51236","No" 185 | "PRV51237","No" 186 | "PRV51238","No" 187 | "PRV51239","No" 188 | "PRV51240","No" 189 | "PRV51241","No" 190 | "PRV51242","Yes" 191 | "PRV51243","No" 192 | "PRV51244","Yes" 193 | "PRV51245","No" 194 | "PRV51247","No" 195 | "PRV51248","No" 196 | "PRV51249","Yes" 197 | "PRV51250","No" 198 | "PRV51251","No" 199 | "PRV51252","No" 200 | "PRV51253","No" 201 | "PRV51255","No" 202 | "PRV51256","No" 203 | "PRV51258","No" 204 | "PRV51259","No" 205 | "PRV51260","No" 206 | "PRV51261","No" 207 | "PRV51262","No" 208 | "PRV51263","Yes" 209 | "PRV51264","No" 210 | "PRV51265","No" 211 | "PRV51266","No" 212 | "PRV51267","No" 213 | "PRV51271","No" 214 | "PRV51272","No" 215 | "PRV51273","No" 216 | "PRV51274","No" 217 | "PRV51276","No" 218 | "PRV51277","No" 219 | "PRV51279","No" 220 | "PRV51280","No" 221 | "PRV51281","No" 222 | "PRV51282","No" 223 | "PRV51284","No" 224 | "PRV51285","No" 225 | "PRV51286","No" 226 | "PRV51287","No" 227 | "PRV51288","No" 228 | "PRV51289","No" 229 | "PRV51290","No" 230 | "PRV51292","No" 231 | "PRV51293","No" 232 | "PRV51295","No" 233 | "PRV51296","No" 234 | "PRV51297","No" 235 | "PRV51298","No" 236 | "PRV51299","No" 237 | "PRV51300","No" 238 | "PRV51301","No" 239 | "PRV51302","No" 240 | "PRV51303","No" 241 | "PRV51304","No" 242 | "PRV51305","No" 243 | "PRV51306","No" 244 | "PRV51307","No" 245 | "PRV51308","No" 246 | "PRV51309","No" 247 | "PRV51311","No" 248 | "PRV51312","No" 249 | "PRV51313","No" 250 | "PRV51314","No" 251 | "PRV51315","No" 252 | "PRV51316","No" 253 | "PRV51318","No" 254 | "PRV51322","No" 255 | "PRV51323","No" 256 | "PRV51324","No" 257 | "PRV51325","No" 258 | "PRV51326","No" 259 | "PRV51327","No" 260 | "PRV51328","No" 261 | "PRV51329","No" 262 | "PRV51330","No" 263 | "PRV51331","No" 264 | "PRV51334","No" 265 | "PRV51335","No" 266 | "PRV51336","No" 267 | "PRV51337","Yes" 268 | "PRV51338","Yes" 269 | "PRV51340","No" 270 | "PRV51341","No" 271 | "PRV51342","No" 272 | "PRV51344","No" 273 | "PRV51345","No" 274 | "PRV51346","No" 275 | "PRV51347","Yes" 276 | "PRV51348","No" 277 | "PRV51349","No" 278 | "PRV51350","No" 279 | "PRV51351","No" 280 | "PRV51352","No" 281 | "PRV51353","No" 282 | "PRV51354","No" 283 | "PRV51355","No" 284 | "PRV51356","No" 285 | "PRV51357","Yes" 286 | "PRV51358","No" 287 | "PRV51360","No" 288 | "PRV51361","No" 289 | "PRV51362","No" 290 | "PRV51363","No" 291 | "PRV51364","No" 292 | "PRV51366","No" 293 | "PRV51368","No" 294 | "PRV51369","Yes" 295 | "PRV51371","No" 296 | "PRV51376","No" 297 | "PRV51377","No" 298 | "PRV51378","Yes" 299 | "PRV51379","No" 300 | "PRV51380","No" 301 | "PRV51382","No" 302 | "PRV51383","No" 303 | "PRV51386","No" 304 | "PRV51387","No" 305 | "PRV51388","No" 306 | "PRV51389","No" 307 | "PRV51390","Yes" 308 | "PRV51391","No" 309 | "PRV51392","No" 310 | "PRV51393","Yes" 311 | "PRV51394","No" 312 | "PRV51395","No" 313 | "PRV51396","No" 314 | "PRV51397","No" 315 | "PRV51398","No" 316 | "PRV51399","Yes" 317 | "PRV51401","Yes" 318 | "PRV51403","No" 319 | "PRV51404","No" 320 | "PRV51405","No" 321 | "PRV51406","No" 322 | "PRV51408","No" 323 | "PRV51409","No" 324 | "PRV51410","Yes" 325 | "PRV51412","No" 326 | "PRV51414","No" 327 | "PRV51415","No" 328 | "PRV51416","No" 329 | "PRV51418","No" 330 | "PRV51419","No" 331 | "PRV51421","Yes" 332 | "PRV51422","No" 333 | "PRV51423","No" 334 | "PRV51424","No" 335 | "PRV51425","No" 336 | "PRV51426","Yes" 337 | "PRV51427","No" 338 | "PRV51428","No" 339 | "PRV51429","No" 340 | "PRV51430","No" 341 | "PRV51431","No" 342 | "PRV51432","No" 343 | "PRV51433","Yes" 344 | "PRV51434","Yes" 345 | "PRV51435","No" 346 | "PRV51436","No" 347 | "PRV51437","No" 348 | "PRV51438","No" 349 | "PRV51439","No" 350 | "PRV51440","No" 351 | "PRV51441","No" 352 | "PRV51442","No" 353 | "PRV51443","No" 354 | "PRV51444","No" 355 | "PRV51446","No" 356 | "PRV51447","Yes" 357 | "PRV51448","No" 358 | "PRV51449","No" 359 | "PRV51451","No" 360 | "PRV51453","No" 361 | "PRV51454","No" 362 | "PRV51455","No" 363 | "PRV51456","No" 364 | "PRV51458","No" 365 | "PRV51459","Yes" 366 | "PRV51460","No" 367 | "PRV51462","No" 368 | "PRV51464","No" 369 | "PRV51465","No" 370 | "PRV51466","No" 371 | "PRV51467","No" 372 | "PRV51468","No" 373 | "PRV51469","No" 374 | "PRV51470","No" 375 | "PRV51471","Yes" 376 | "PRV51472","No" 377 | "PRV51474","No" 378 | "PRV51475","No" 379 | "PRV51476","No" 380 | "PRV51477","No" 381 | "PRV51478","No" 382 | "PRV51479","No" 383 | "PRV51480","Yes" 384 | "PRV51482","Yes" 385 | "PRV51483","No" 386 | "PRV51484","No" 387 | "PRV51486","No" 388 | "PRV51487","No" 389 | "PRV51488","No" 390 | "PRV51490","Yes" 391 | "PRV51491","No" 392 | "PRV51492","No" 393 | "PRV51494","No" 394 | "PRV51495","Yes" 395 | "PRV51496","No" 396 | "PRV51497","No" 397 | "PRV51499","No" 398 | "PRV51500","No" 399 | "PRV51501","Yes" 400 | "PRV51502","No" 401 | "PRV51503","No" 402 | "PRV51504","No" 403 | "PRV51505","No" 404 | "PRV51507","Yes" 405 | "PRV51508","No" 406 | "PRV51509","No" 407 | "PRV51510","No" 408 | "PRV51511","No" 409 | "PRV51514","No" 410 | "PRV51515","No" 411 | "PRV51516","No" 412 | "PRV51517","No" 413 | "PRV51518","No" 414 | "PRV51521","No" 415 | "PRV51522","No" 416 | "PRV51523","No" 417 | "PRV51525","No" 418 | "PRV51526","No" 419 | "PRV51527","No" 420 | "PRV51528","No" 421 | "PRV51529","No" 422 | "PRV51531","No" 423 | "PRV51532","No" 424 | "PRV51533","No" 425 | "PRV51534","No" 426 | "PRV51535","No" 427 | "PRV51536","No" 428 | "PRV51539","Yes" 429 | "PRV51540","No" 430 | "PRV51541","No" 431 | "PRV51542","Yes" 432 | "PRV51544","No" 433 | "PRV51546","No" 434 | "PRV51547","No" 435 | "PRV51549","No" 436 | "PRV51550","No" 437 | "PRV51551","No" 438 | "PRV51552","No" 439 | "PRV51553","No" 440 | "PRV51554","No" 441 | "PRV51555","No" 442 | "PRV51556","No" 443 | "PRV51557","No" 444 | "PRV51558","No" 445 | "PRV51560","Yes" 446 | "PRV51562","No" 447 | "PRV51563","No" 448 | "PRV51564","No" 449 | "PRV51566","No" 450 | "PRV51567","Yes" 451 | "PRV51568","No" 452 | "PRV51569","No" 453 | "PRV51570","No" 454 | "PRV51571","No" 455 | "PRV51572","No" 456 | "PRV51573","No" 457 | "PRV51574","Yes" 458 | "PRV51576","No" 459 | "PRV51577","No" 460 | "PRV51578","Yes" 461 | "PRV51579","No" 462 | "PRV51580","No" 463 | "PRV51582","No" 464 | "PRV51583","No" 465 | "PRV51584","Yes" 466 | "PRV51585","No" 467 | "PRV51586","Yes" 468 | "PRV51587","No" 469 | "PRV51588","No" 470 | "PRV51590","Yes" 471 | "PRV51592","No" 472 | "PRV51593","Yes" 473 | "PRV51595","No" 474 | "PRV51596","No" 475 | "PRV51598","No" 476 | "PRV51599","No" 477 | "PRV51600","No" 478 | "PRV51601","No" 479 | "PRV51602","No" 480 | "PRV51604","Yes" 481 | "PRV51605","No" 482 | "PRV51606","No" 483 | "PRV51607","No" 484 | "PRV51608","No" 485 | "PRV51609","No" 486 | "PRV51610","No" 487 | "PRV51611","No" 488 | "PRV51612","No" 489 | "PRV51613","No" 490 | "PRV51614","Yes" 491 | "PRV51616","No" 492 | "PRV51617","No" 493 | "PRV51618","No" 494 | "PRV51619","No" 495 | "PRV51620","No" 496 | "PRV51621","No" 497 | "PRV51622","No" 498 | "PRV51623","No" 499 | "PRV51624","No" 500 | "PRV51625","No" 501 | "PRV51626","No" 502 | "PRV51627","No" 503 | "PRV51628","No" 504 | "PRV51629","No" 505 | "PRV51630","No" 506 | "PRV51631","No" 507 | "PRV51632","No" 508 | "PRV51634","No" 509 | "PRV51635","No" 510 | "PRV51636","No" 511 | "PRV51637","No" 512 | "PRV51638","No" 513 | "PRV51639","No" 514 | "PRV51640","No" 515 | "PRV51641","No" 516 | "PRV51642","No" 517 | "PRV51644","No" 518 | "PRV51645","No" 519 | "PRV51647","No" 520 | "PRV51650","No" 521 | "PRV51652","No" 522 | "PRV51653","No" 523 | "PRV51654","No" 524 | "PRV51655","No" 525 | "PRV51656","No" 526 | "PRV51657","No" 527 | "PRV51658","No" 528 | "PRV51660","No" 529 | "PRV51661","No" 530 | "PRV51664","No" 531 | "PRV51665","No" 532 | "PRV51666","No" 533 | "PRV51668","No" 534 | "PRV51669","No" 535 | "PRV51670","No" 536 | "PRV51671","No" 537 | "PRV51672","No" 538 | "PRV51673","No" 539 | "PRV51674","No" 540 | "PRV51675","No" 541 | "PRV51676","No" 542 | "PRV51678","No" 543 | "PRV51679","No" 544 | "PRV51681","No" 545 | "PRV51682","No" 546 | "PRV51685","No" 547 | "PRV51687","No" 548 | "PRV51688","No" 549 | "PRV51689","No" 550 | "PRV51690","No" 551 | "PRV51691","No" 552 | "PRV51692","No" 553 | "PRV51693","No" 554 | "PRV51694","No" 555 | "PRV51695","No" 556 | "PRV51696","No" 557 | "PRV51697","No" 558 | "PRV51698","No" 559 | "PRV51699","No" 560 | "PRV51702","No" 561 | "PRV51703","No" 562 | "PRV51704","No" 563 | "PRV51705","No" 564 | "PRV51706","No" 565 | "PRV51707","No" 566 | "PRV51708","No" 567 | "PRV51709","No" 568 | "PRV51710","No" 569 | "PRV51711","No" 570 | "PRV51712","No" 571 | "PRV51713","No" 572 | "PRV51715","No" 573 | "PRV51716","No" 574 | "PRV51718","No" 575 | "PRV51719","No" 576 | "PRV51720","No" 577 | "PRV51721","No" 578 | "PRV51722","No" 579 | "PRV51723","No" 580 | "PRV51724","No" 581 | "PRV51725","No" 582 | "PRV51726","No" 583 | "PRV51727","No" 584 | "PRV51729","No" 585 | "PRV51731","No" 586 | "PRV51732","No" 587 | "PRV51733","No" 588 | "PRV51734","No" 589 | "PRV51735","No" 590 | "PRV51736","No" 591 | "PRV51737","No" 592 | "PRV51738","No" 593 | "PRV51739","No" 594 | "PRV51740","No" 595 | "PRV51741","No" 596 | "PRV51742","No" 597 | "PRV51743","No" 598 | "PRV51744","No" 599 | "PRV51745","No" 600 | "PRV51746","No" 601 | "PRV51747","No" 602 | "PRV51748","No" 603 | "PRV51749","No" 604 | "PRV51750","No" 605 | "PRV51751","No" 606 | "PRV51752","No" 607 | "PRV51753","No" 608 | "PRV51754","No" 609 | "PRV51755","No" 610 | "PRV51758","No" 611 | "PRV51759","No" 612 | "PRV51761","No" 613 | "PRV51762","No" 614 | "PRV51763","No" 615 | "PRV51764","No" 616 | "PRV51765","No" 617 | "PRV51766","No" 618 | "PRV51767","No" 619 | "PRV51769","No" 620 | "PRV51770","No" 621 | "PRV51771","No" 622 | "PRV51773","No" 623 | "PRV51774","No" 624 | "PRV51775","No" 625 | "PRV51776","No" 626 | "PRV51778","No" 627 | "PRV51779","No" 628 | "PRV51780","No" 629 | "PRV51781","No" 630 | "PRV51784","No" 631 | "PRV51786","No" 632 | "PRV51787","No" 633 | "PRV51788","No" 634 | "PRV51789","No" 635 | "PRV51790","No" 636 | "PRV51792","No" 637 | "PRV51793","No" 638 | "PRV51794","No" 639 | "PRV51795","No" 640 | "PRV51796","No" 641 | "PRV51797","No" 642 | "PRV51798","No" 643 | "PRV51799","No" 644 | "PRV51801","No" 645 | "PRV51802","No" 646 | "PRV51803","No" 647 | "PRV51805","Yes" 648 | "PRV51806","No" 649 | "PRV51807","No" 650 | "PRV51809","No" 651 | "PRV51810","No" 652 | "PRV51811","No" 653 | "PRV51812","No" 654 | "PRV51813","No" 655 | "PRV51815","No" 656 | "PRV51816","No" 657 | "PRV51818","Yes" 658 | "PRV51819","No" 659 | "PRV51820","No" 660 | "PRV51821","No" 661 | "PRV51822","No" 662 | "PRV51823","No" 663 | "PRV51824","No" 664 | "PRV51826","Yes" 665 | "PRV51827","No" 666 | "PRV51828","No" 667 | "PRV51829","No" 668 | "PRV51830","No" 669 | "PRV51831","No" 670 | "PRV51833","No" 671 | "PRV51836","Yes" 672 | "PRV51837","No" 673 | "PRV51838","No" 674 | "PRV51840","Yes" 675 | "PRV51841","No" 676 | "PRV51842","Yes" 677 | "PRV51843","No" 678 | "PRV51845","No" 679 | "PRV51846","No" 680 | "PRV51847","No" 681 | "PRV51848","No" 682 | "PRV51849","No" 683 | "PRV51851","Yes" 684 | "PRV51852","No" 685 | "PRV51855","No" 686 | "PRV51856","No" 687 | "PRV51857","Yes" 688 | "PRV51858","No" 689 | "PRV51859","No" 690 | "PRV51860","No" 691 | "PRV51861","No" 692 | "PRV51862","No" 693 | "PRV51863","No" 694 | "PRV51864","No" 695 | "PRV51865","No" 696 | "PRV51867","No" 697 | "PRV51868","Yes" 698 | "PRV51869","No" 699 | "PRV51870","No" 700 | "PRV51871","No" 701 | "PRV51872","No" 702 | "PRV51873","Yes" 703 | "PRV51874","No" 704 | "PRV51875","No" 705 | "PRV51876","Yes" 706 | "PRV51877","No" 707 | "PRV51878","No" 708 | "PRV51879","No" 709 | "PRV51884","No" 710 | "PRV51885","No" 711 | "PRV51886","No" 712 | "PRV51887","No" 713 | "PRV51888","No" 714 | "PRV51889","No" 715 | "PRV51890","No" 716 | "PRV51891","No" 717 | "PRV51892","No" 718 | "PRV51894","No" 719 | "PRV51895","No" 720 | "PRV51896","No" 721 | "PRV51897","No" 722 | "PRV51898","No" 723 | "PRV51899","No" 724 | "PRV51901","No" 725 | "PRV51902","No" 726 | "PRV51905","No" 727 | "PRV51906","No" 728 | "PRV51908","No" 729 | "PRV51909","No" 730 | "PRV51910","No" 731 | "PRV51911","No" 732 | "PRV51913","No" 733 | "PRV51914","No" 734 | "PRV51915","No" 735 | "PRV51916","No" 736 | "PRV51917","No" 737 | "PRV51918","No" 738 | "PRV51919","No" 739 | "PRV51920","Yes" 740 | "PRV51921","No" 741 | "PRV51922","No" 742 | "PRV51923","No" 743 | "PRV51924","No" 744 | "PRV51925","No" 745 | "PRV51926","No" 746 | "PRV51927","No" 747 | "PRV51928","No" 748 | "PRV51929","No" 749 | "PRV51930","No" 750 | "PRV51931","No" 751 | "PRV51932","No" 752 | "PRV51933","No" 753 | "PRV51934","No" 754 | "PRV51935","No" 755 | "PRV51936","No" 756 | "PRV51937","No" 757 | "PRV51938","No" 758 | "PRV51940","Yes" 759 | "PRV51941","No" 760 | "PRV51942","No" 761 | "PRV51943","No" 762 | "PRV51944","No" 763 | "PRV51946","No" 764 | "PRV51947","No" 765 | "PRV51948","Yes" 766 | "PRV51949","No" 767 | "PRV51950","No" 768 | "PRV51951","Yes" 769 | "PRV51952","No" 770 | "PRV51954","No" 771 | "PRV51956","No" 772 | "PRV51957","No" 773 | "PRV51958","No" 774 | "PRV51959","No" 775 | "PRV51960","No" 776 | "PRV51961","No" 777 | "PRV51963","No" 778 | "PRV51964","No" 779 | "PRV51965","No" 780 | "PRV51966","No" 781 | "PRV51967","No" 782 | "PRV51968","No" 783 | "PRV51969","No" 784 | "PRV51970","No" 785 | "PRV51972","No" 786 | "PRV51973","No" 787 | "PRV51974","No" 788 | "PRV51976","No" 789 | "PRV51977","No" 790 | "PRV51978","No" 791 | "PRV51979","Yes" 792 | "PRV51981","No" 793 | "PRV51983","No" 794 | "PRV51984","No" 795 | "PRV51987","No" 796 | "PRV51988","No" 797 | "PRV51989","No" 798 | "PRV51990","No" 799 | "PRV51991","No" 800 | "PRV51992","No" 801 | "PRV51993","No" 802 | "PRV51994","No" 803 | "PRV51995","No" 804 | "PRV51996","No" 805 | "PRV51998","No" 806 | "PRV51999","No" 807 | "PRV52001","No" 808 | "PRV52002","Yes" 809 | "PRV52003","No" 810 | "PRV52004","No" 811 | "PRV52007","No" 812 | "PRV52008","No" 813 | "PRV52009","No" 814 | "PRV52010","No" 815 | "PRV52011","No" 816 | "PRV52012","No" 817 | "PRV52013","No" 818 | "PRV52014","No" 819 | "PRV52017","No" 820 | "PRV52019","Yes" 821 | "PRV52020","Yes" 822 | "PRV52021","Yes" 823 | "PRV52022","No" 824 | "PRV52024","No" 825 | "PRV52025","No" 826 | "PRV52026","No" 827 | "PRV52027","No" 828 | "PRV52028","No" 829 | "PRV52029","No" 830 | "PRV52030","Yes" 831 | "PRV52031","No" 832 | "PRV52032","Yes" 833 | "PRV52037","No" 834 | "PRV52038","No" 835 | "PRV52039","No" 836 | "PRV52041","Yes" 837 | "PRV52042","No" 838 | "PRV52044","No" 839 | "PRV52045","Yes" 840 | "PRV52046","No" 841 | "PRV52047","No" 842 | "PRV52048","No" 843 | "PRV52049","No" 844 | "PRV52051","No" 845 | "PRV52052","No" 846 | "PRV52054","No" 847 | "PRV52055","No" 848 | "PRV52056","No" 849 | "PRV52057","No" 850 | "PRV52058","No" 851 | "PRV52059","Yes" 852 | "PRV52061","No" 853 | "PRV52062","No" 854 | "PRV52063","No" 855 | "PRV52064","Yes" 856 | "PRV52065","Yes" 857 | "PRV52066","Yes" 858 | "PRV52068","No" 859 | "PRV52069","No" 860 | "PRV52071","No" 861 | "PRV52072","No" 862 | "PRV52073","No" 863 | "PRV52074","No" 864 | "PRV52075","No" 865 | "PRV52076","No" 866 | "PRV52077","Yes" 867 | "PRV52079","No" 868 | "PRV52081","No" 869 | "PRV52082","No" 870 | "PRV52084","No" 871 | "PRV52085","No" 872 | "PRV52087","No" 873 | "PRV52088","No" 874 | "PRV52089","Yes" 875 | "PRV52090","No" 876 | "PRV52092","No" 877 | "PRV52094","No" 878 | "PRV52095","No" 879 | "PRV52097","No" 880 | "PRV52098","No" 881 | "PRV52099","No" 882 | "PRV52100","Yes" 883 | "PRV52101","No" 884 | "PRV52102","No" 885 | "PRV52104","No" 886 | "PRV52105","No" 887 | "PRV52107","No" 888 | "PRV52109","No" 889 | "PRV52111","No" 890 | "PRV52112","No" 891 | "PRV52113","No" 892 | "PRV52114","Yes" 893 | "PRV52115","Yes" 894 | "PRV52118","No" 895 | "PRV52119","Yes" 896 | "PRV52120","Yes" 897 | "PRV52121","No" 898 | "PRV52122","No" 899 | "PRV52123","Yes" 900 | "PRV52124","Yes" 901 | "PRV52126","No" 902 | "PRV52127","No" 903 | "PRV52128","No" 904 | "PRV52129","No" 905 | "PRV52130","No" 906 | "PRV52131","No" 907 | "PRV52133","No" 908 | "PRV52135","Yes" 909 | "PRV52136","No" 910 | "PRV52138","No" 911 | "PRV52140","No" 912 | "PRV52141","No" 913 | "PRV52142","No" 914 | "PRV52143","No" 915 | "PRV52144","No" 916 | "PRV52145","No" 917 | "PRV52146","No" 918 | "PRV52147","Yes" 919 | "PRV52148","No" 920 | "PRV52149","No" 921 | "PRV52150","No" 922 | "PRV52151","Yes" 923 | "PRV52152","No" 924 | "PRV52154","No" 925 | "PRV52155","No" 926 | "PRV52156","No" 927 | "PRV52157","No" 928 | "PRV52159","No" 929 | "PRV52160","No" 930 | "PRV52161","No" 931 | "PRV52162","No" 932 | "PRV52163","No" 933 | "PRV52165","Yes" 934 | "PRV52166","No" 935 | "PRV52167","No" 936 | "PRV52168","No" 937 | "PRV52169","No" 938 | "PRV52170","No" 939 | "PRV52171","No" 940 | "PRV52173","Yes" 941 | "PRV52174","No" 942 | "PRV52175","No" 943 | "PRV52176","No" 944 | "PRV52177","No" 945 | "PRV52178","Yes" 946 | "PRV52179","No" 947 | "PRV52180","No" 948 | "PRV52181","Yes" 949 | "PRV52182","No" 950 | "PRV52184","No" 951 | "PRV52185","No" 952 | "PRV52186","No" 953 | "PRV52187","No" 954 | "PRV52188","No" 955 | "PRV52189","No" 956 | "PRV52191","No" 957 | "PRV52192","No" 958 | "PRV52193","No" 959 | "PRV52195","Yes" 960 | "PRV52196","No" 961 | "PRV52197","No" 962 | "PRV52199","No" 963 | "PRV52200","No" 964 | "PRV52201","No" 965 | "PRV52202","No" 966 | "PRV52204","No" 967 | "PRV52205","No" 968 | "PRV52206","No" 969 | "PRV52208","No" 970 | "PRV52209","No" 971 | "PRV52211","No" 972 | "PRV52212","No" 973 | "PRV52213","No" 974 | "PRV52214","No" 975 | "PRV52216","No" 976 | "PRV52217","No" 977 | "PRV52218","No" 978 | "PRV52219","No" 979 | "PRV52220","No" 980 | "PRV52221","No" 981 | "PRV52222","No" 982 | "PRV52224","No" 983 | "PRV52225","No" 984 | "PRV52226","No" 985 | "PRV52227","No" 986 | "PRV52228","No" 987 | "PRV52229","No" 988 | "PRV52230","No" 989 | "PRV52231","No" 990 | "PRV52232","No" 991 | "PRV52233","No" 992 | "PRV52235","No" 993 | "PRV52236","No" 994 | "PRV52237","No" 995 | "PRV52238","No" 996 | "PRV52240","No" 997 | "PRV52241","No" 998 | "PRV52242","No" 999 | "PRV52246","No" 1000 | "PRV52247","No" 1001 | "PRV52248","No" 1002 | "PRV52249","No" 1003 | "PRV52251","No" 1004 | "PRV52252","No" 1005 | "PRV52253","No" 1006 | "PRV52254","No" 1007 | "PRV52255","No" 1008 | "PRV52256","No" 1009 | "PRV52257","No" 1010 | "PRV52260","No" 1011 | "PRV52261","No" 1012 | "PRV52262","No" 1013 | "PRV52263","No" 1014 | "PRV52264","No" 1015 | "PRV52265","No" 1016 | "PRV52266","No" 1017 | "PRV52267","No" 1018 | "PRV52271","No" 1019 | "PRV52272","No" 1020 | "PRV52273","No" 1021 | "PRV52274","No" 1022 | "PRV52275","No" 1023 | "PRV52276","No" 1024 | "PRV52278","No" 1025 | "PRV52279","No" 1026 | "PRV52280","Yes" 1027 | "PRV52281","No" 1028 | "PRV52282","No" 1029 | "PRV52283","Yes" 1030 | "PRV52284","No" 1031 | "PRV52285","No" 1032 | "PRV52286","No" 1033 | "PRV52288","No" 1034 | "PRV52289","No" 1035 | "PRV52290","No" 1036 | "PRV52291","No" 1037 | "PRV52292","Yes" 1038 | "PRV52293","No" 1039 | "PRV52294","No" 1040 | "PRV52295","No" 1041 | "PRV52296","No" 1042 | "PRV52298","No" 1043 | "PRV52299","No" 1044 | "PRV52300","No" 1045 | "PRV52302","No" 1046 | "PRV52303","No" 1047 | "PRV52304","No" 1048 | "PRV52306","No" 1049 | "PRV52307","Yes" 1050 | "PRV52308","Yes" 1051 | "PRV52309","No" 1052 | "PRV52310","No" 1053 | "PRV52311","No" 1054 | "PRV52312","No" 1055 | "PRV52313","No" 1056 | "PRV52314","No" 1057 | "PRV52315","No" 1058 | "PRV52317","No" 1059 | "PRV52318","No" 1060 | "PRV52319","No" 1061 | "PRV52320","Yes" 1062 | "PRV52321","Yes" 1063 | "PRV52323","No" 1064 | "PRV52325","Yes" 1065 | "PRV52326","No" 1066 | "PRV52328","No" 1067 | "PRV52331","No" 1068 | "PRV52332","No" 1069 | "PRV52334","No" 1070 | "PRV52335","No" 1071 | "PRV52336","No" 1072 | "PRV52337","Yes" 1073 | "PRV52340","Yes" 1074 | "PRV52341","No" 1075 | "PRV52342","No" 1076 | "PRV52343","Yes" 1077 | "PRV52344","No" 1078 | "PRV52346","No" 1079 | "PRV52347","Yes" 1080 | "PRV52348","No" 1081 | "PRV52349","No" 1082 | "PRV52350","No" 1083 | "PRV52351","No" 1084 | "PRV52352","No" 1085 | "PRV52353","No" 1086 | "PRV52354","No" 1087 | "PRV52355","No" 1088 | "PRV52356","No" 1089 | "PRV52357","No" 1090 | "PRV52358","No" 1091 | "PRV52359","No" 1092 | "PRV52361","No" 1093 | "PRV52362","No" 1094 | "PRV52365","No" 1095 | "PRV52366","No" 1096 | "PRV52367","No" 1097 | "PRV52369","No" 1098 | "PRV52371","No" 1099 | "PRV52372","No" 1100 | "PRV52373","No" 1101 | "PRV52374","No" 1102 | "PRV52377","No" 1103 | "PRV52378","No" 1104 | "PRV52380","No" 1105 | "PRV52381","No" 1106 | "PRV52383","Yes" 1107 | "PRV52384","No" 1108 | "PRV52385","No" 1109 | "PRV52386","No" 1110 | "PRV52387","No" 1111 | "PRV52389","No" 1112 | "PRV52390","No" 1113 | "PRV52391","No" 1114 | "PRV52392","No" 1115 | "PRV52393","No" 1116 | "PRV52394","No" 1117 | "PRV52395","No" 1118 | "PRV52396","Yes" 1119 | "PRV52397","No" 1120 | "PRV52398","No" 1121 | "PRV52399","No" 1122 | "PRV52400","No" 1123 | "PRV52401","No" 1124 | "PRV52402","No" 1125 | "PRV52403","No" 1126 | "PRV52404","No" 1127 | "PRV52405","No" 1128 | "PRV52406","No" 1129 | "PRV52407","No" 1130 | "PRV52408","No" 1131 | "PRV52409","No" 1132 | "PRV52410","No" 1133 | "PRV52411","No" 1134 | "PRV52412","No" 1135 | "PRV52414","No" 1136 | "PRV52415","No" 1137 | "PRV52416","No" 1138 | "PRV52417","No" 1139 | "PRV52418","No" 1140 | "PRV52419","No" 1141 | "PRV52420","Yes" 1142 | "PRV52421","No" 1143 | "PRV52422","No" 1144 | "PRV52423","No" 1145 | "PRV52425","No" 1146 | "PRV52427","No" 1147 | "PRV52431","No" 1148 | "PRV52432","No" 1149 | "PRV52433","No" 1150 | "PRV52434","No" 1151 | "PRV52435","No" 1152 | "PRV52436","No" 1153 | "PRV52437","No" 1154 | "PRV52439","No" 1155 | "PRV52440","No" 1156 | "PRV52441","No" 1157 | "PRV52443","No" 1158 | "PRV52445","Yes" 1159 | "PRV52446","No" 1160 | "PRV52448","No" 1161 | "PRV52449","No" 1162 | "PRV52450","No" 1163 | "PRV52451","No" 1164 | "PRV52452","No" 1165 | "PRV52453","No" 1166 | "PRV52454","No" 1167 | "PRV52455","No" 1168 | "PRV52456","No" 1169 | "PRV52457","No" 1170 | "PRV52458","No" 1171 | "PRV52459","No" 1172 | "PRV52460","No" 1173 | "PRV52461","No" 1174 | "PRV52462","No" 1175 | "PRV52463","No" 1176 | "PRV52464","No" 1177 | "PRV52466","No" 1178 | "PRV52467","Yes" 1179 | "PRV52468","No" 1180 | "PRV52469","No" 1181 | "PRV52470","No" 1182 | "PRV52471","No" 1183 | "PRV52472","No" 1184 | "PRV52473","No" 1185 | "PRV52474","No" 1186 | "PRV52476","No" 1187 | "PRV52478","No" 1188 | "PRV52480","No" 1189 | "PRV52482","No" 1190 | "PRV52483","No" 1191 | "PRV52484","No" 1192 | "PRV52485","No" 1193 | "PRV52486","No" 1194 | "PRV52487","No" 1195 | "PRV52488","No" 1196 | "PRV52490","No" 1197 | "PRV52491","No" 1198 | "PRV52492","No" 1199 | "PRV52493","No" 1200 | "PRV52494","No" 1201 | "PRV52495","No" 1202 | "PRV52497","Yes" 1203 | "PRV52499","No" 1204 | "PRV52500","No" 1205 | "PRV52501","No" 1206 | "PRV52502","Yes" 1207 | "PRV52503","No" 1208 | "PRV52504","Yes" 1209 | "PRV52506","No" 1210 | "PRV52507","No" 1211 | "PRV52508","No" 1212 | "PRV52509","No" 1213 | "PRV52510","No" 1214 | "PRV52511","Yes" 1215 | "PRV52512","No" 1216 | "PRV52513","No" 1217 | "PRV52514","No" 1218 | "PRV52515","No" 1219 | "PRV52517","No" 1220 | "PRV52518","No" 1221 | "PRV52519","No" 1222 | "PRV52520","No" 1223 | "PRV52521","No" 1224 | "PRV52523","No" 1225 | "PRV52525","No" 1226 | "PRV52526","No" 1227 | "PRV52527","No" 1228 | "PRV52528","No" 1229 | "PRV52529","No" 1230 | "PRV52530","No" 1231 | "PRV52531","No" 1232 | "PRV52532","No" 1233 | "PRV52533","No" 1234 | "PRV52535","No" 1235 | "PRV52536","No" 1236 | "PRV52537","No" 1237 | "PRV52539","No" 1238 | "PRV52540","No" 1239 | "PRV52541","No" 1240 | "PRV52542","No" 1241 | "PRV52543","No" 1242 | "PRV52544","No" 1243 | "PRV52545","No" 1244 | "PRV52547","No" 1245 | "PRV52548","No" 1246 | "PRV52549","No" 1247 | "PRV52551","No" 1248 | "PRV52552","No" 1249 | "PRV52553","No" 1250 | "PRV52554","No" 1251 | "PRV52555","No" 1252 | "PRV52556","No" 1253 | "PRV52557","No" 1254 | "PRV52558","No" 1255 | "PRV52559","No" 1256 | "PRV52560","No" 1257 | "PRV52561","No" 1258 | "PRV52562","No" 1259 | "PRV52563","No" 1260 | "PRV52564","No" 1261 | "PRV52565","No" 1262 | "PRV52566","No" 1263 | "PRV52567","No" 1264 | "PRV52568","No" 1265 | "PRV52570","No" 1266 | "PRV52571","No" 1267 | "PRV52572","No" 1268 | "PRV52573","No" 1269 | "PRV52574","Yes" 1270 | "PRV52575","No" 1271 | "PRV52576","No" 1272 | "PRV52577","No" 1273 | "PRV52578","Yes" 1274 | "PRV52579","No" 1275 | "PRV52580","No" 1276 | "PRV52581","No" 1277 | "PRV52582","No" 1278 | "PRV52583","No" 1279 | "PRV52584","No" 1280 | "PRV52586","No" 1281 | "PRV52587","No" 1282 | "PRV52588","No" 1283 | "PRV52589","Yes" 1284 | "PRV52590","Yes" 1285 | "PRV52591","No" 1286 | "PRV52592","No" 1287 | "PRV52593","Yes" 1288 | "PRV52596","No" 1289 | "PRV52598","No" 1290 | "PRV52599","No" 1291 | "PRV52602","No" 1292 | "PRV52604","No" 1293 | "PRV52605","No" 1294 | "PRV52606","No" 1295 | "PRV52607","No" 1296 | "PRV52608","No" 1297 | "PRV52609","Yes" 1298 | "PRV52610","No" 1299 | "PRV52611","No" 1300 | "PRV52614","No" 1301 | "PRV52615","No" 1302 | "PRV52616","No" 1303 | "PRV52617","No" 1304 | "PRV52621","No" 1305 | "PRV52622","No" 1306 | "PRV52623","No" 1307 | "PRV52626","No" 1308 | "PRV52627","No" 1309 | "PRV52628","Yes" 1310 | "PRV52629","No" 1311 | "PRV52630","Yes" 1312 | "PRV52631","No" 1313 | "PRV52633","No" 1314 | "PRV52634","No" 1315 | "PRV52636","No" 1316 | "PRV52638","No" 1317 | "PRV52639","No" 1318 | "PRV52640","No" 1319 | "PRV52641","No" 1320 | "PRV52642","Yes" 1321 | "PRV52643","No" 1322 | "PRV52644","No" 1323 | "PRV52645","No" 1324 | "PRV52646","No" 1325 | "PRV52647","No" 1326 | "PRV52648","Yes" 1327 | "PRV52649","Yes" 1328 | "PRV52651","No" 1329 | "PRV52652","Yes" 1330 | "PRV52653","No" 1331 | "PRV52654","No" 1332 | "PRV52656","No" 1333 | "PRV52657","No" 1334 | "PRV52658","No" 1335 | "PRV52659","No" 1336 | "PRV52660","No" 1337 | "PRV52661","No" 1338 | "PRV52662","No" 1339 | "PRV52663","No" 1340 | "PRV52665","No" 1341 | "PRV52666","No" 1342 | "PRV52667","No" 1343 | "PRV52668","No" 1344 | "PRV52669","No" 1345 | "PRV52670","No" 1346 | "PRV52671","No" 1347 | "PRV52672","No" 1348 | "PRV52673","No" 1349 | "PRV52674","No" 1350 | "PRV52676","No" 1351 | "PRV52677","No" 1352 | "PRV52678","No" 1353 | "PRV52679","No" 1354 | "PRV52681","No" 1355 | "PRV52683","No" 1356 | "PRV52684","No" 1357 | "PRV52686","No" 1358 | "PRV52687","No" 1359 | "PRV52688","No" 1360 | "PRV52689","No" 1361 | "PRV52690","Yes" 1362 | "PRV52691","No" 1363 | "PRV52692","No" 1364 | "PRV52693","No" 1365 | "PRV52694","No" 1366 | "PRV52695","No" 1367 | "PRV52696","No" 1368 | "PRV52697","No" 1369 | "PRV52698","No" 1370 | "PRV52699","No" 1371 | "PRV52700","No" 1372 | "PRV52701","No" 1373 | "PRV52702","No" 1374 | "PRV52703","No" 1375 | "PRV52704","No" 1376 | "PRV52706","No" 1377 | "PRV52708","No" 1378 | "PRV52709","No" 1379 | "PRV52710","No" 1380 | "PRV52711","No" 1381 | "PRV52713","No" 1382 | "PRV52714","No" 1383 | "PRV52715","No" 1384 | "PRV52717","No" 1385 | "PRV52719","No" 1386 | "PRV52720","No" 1387 | "PRV52721","No" 1388 | "PRV52722","No" 1389 | "PRV52723","No" 1390 | "PRV52724","No" 1391 | "PRV52725","No" 1392 | "PRV52726","No" 1393 | "PRV52727","No" 1394 | "PRV52728","No" 1395 | "PRV52729","No" 1396 | "PRV52731","No" 1397 | "PRV52732","No" 1398 | "PRV52733","No" 1399 | "PRV52736","No" 1400 | "PRV52738","No" 1401 | "PRV52739","No" 1402 | "PRV52740","No" 1403 | "PRV52741","No" 1404 | "PRV52742","No" 1405 | "PRV52743","No" 1406 | "PRV52744","No" 1407 | "PRV52745","No" 1408 | "PRV52746","No" 1409 | "PRV52747","No" 1410 | "PRV52748","No" 1411 | "PRV52750","No" 1412 | "PRV52751","No" 1413 | "PRV52752","No" 1414 | "PRV52753","No" 1415 | "PRV52754","No" 1416 | "PRV52755","No" 1417 | "PRV52756","No" 1418 | "PRV52757","No" 1419 | "PRV52758","No" 1420 | "PRV52760","No" 1421 | "PRV52761","No" 1422 | "PRV52763","No" 1423 | "PRV52764","No" 1424 | "PRV52766","No" 1425 | "PRV52767","No" 1426 | "PRV52768","No" 1427 | "PRV52769","No" 1428 | "PRV52770","No" 1429 | "PRV52771","No" 1430 | "PRV52772","No" 1431 | "PRV52773","No" 1432 | "PRV52774","No" 1433 | "PRV52775","No" 1434 | "PRV52777","No" 1435 | "PRV52778","No" 1436 | "PRV52781","No" 1437 | "PRV52782","No" 1438 | "PRV52783","No" 1439 | "PRV52784","No" 1440 | "PRV52785","No" 1441 | "PRV52786","No" 1442 | "PRV52787","No" 1443 | "PRV52788","No" 1444 | "PRV52789","No" 1445 | "PRV52790","No" 1446 | "PRV52791","No" 1447 | "PRV52792","No" 1448 | "PRV52793","No" 1449 | "PRV52794","No" 1450 | "PRV52795","No" 1451 | "PRV52796","No" 1452 | "PRV52797","No" 1453 | "PRV52798","No" 1454 | "PRV52799","No" 1455 | "PRV52800","No" 1456 | "PRV52801","No" 1457 | "PRV52803","No" 1458 | "PRV52804","No" 1459 | "PRV52806","No" 1460 | "PRV52807","No" 1461 | "PRV52808","No" 1462 | "PRV52810","No" 1463 | "PRV52813","No" 1464 | "PRV52814","No" 1465 | "PRV52815","Yes" 1466 | "PRV52816","No" 1467 | "PRV52818","No" 1468 | "PRV52820","No" 1469 | "PRV52821","Yes" 1470 | "PRV52822","No" 1471 | "PRV52823","No" 1472 | "PRV52824","No" 1473 | "PRV52825","No" 1474 | "PRV52826","Yes" 1475 | "PRV52827","No" 1476 | "PRV52828","Yes" 1477 | "PRV52829","No" 1478 | "PRV52830","No" 1479 | "PRV52831","No" 1480 | "PRV52832","No" 1481 | "PRV52833","No" 1482 | "PRV52835","No" 1483 | "PRV52836","No" 1484 | "PRV52837","No" 1485 | "PRV52838","No" 1486 | "PRV52839","No" 1487 | "PRV52841","No" 1488 | "PRV52842","No" 1489 | "PRV52843","Yes" 1490 | "PRV52844","No" 1491 | "PRV52845","No" 1492 | "PRV52846","Yes" 1493 | "PRV52847","Yes" 1494 | "PRV52848","No" 1495 | "PRV52849","No" 1496 | "PRV52850","No" 1497 | "PRV52851","No" 1498 | "PRV52853","No" 1499 | "PRV52855","No" 1500 | "PRV52857","No" 1501 | "PRV52858","No" 1502 | "PRV52859","No" 1503 | "PRV52860","Yes" 1504 | "PRV52861","No" 1505 | "PRV52862","No" 1506 | "PRV52863","No" 1507 | "PRV52864","No" 1508 | "PRV52865","No" 1509 | "PRV52868","Yes" 1510 | "PRV52869","No" 1511 | "PRV52870","Yes" 1512 | "PRV52872","No" 1513 | "PRV52873","No" 1514 | "PRV52875","No" 1515 | "PRV52876","No" 1516 | "PRV52877","No" 1517 | "PRV52878","No" 1518 | "PRV52879","No" 1519 | "PRV52880","No" 1520 | "PRV52881","No" 1521 | "PRV52882","No" 1522 | "PRV52884","Yes" 1523 | "PRV52886","No" 1524 | "PRV52887","Yes" 1525 | "PRV52889","No" 1526 | "PRV52890","No" 1527 | "PRV52891","No" 1528 | "PRV52892","No" 1529 | "PRV52893","No" 1530 | "PRV52895","No" 1531 | "PRV52896","No" 1532 | "PRV52897","No" 1533 | "PRV52898","No" 1534 | "PRV52899","No" 1535 | "PRV52901","No" 1536 | "PRV52902","No" 1537 | "PRV52903","Yes" 1538 | "PRV52904","No" 1539 | "PRV52905","No" 1540 | "PRV52907","No" 1541 | "PRV52910","No" 1542 | "PRV52911","No" 1543 | "PRV52912","No" 1544 | "PRV52913","No" 1545 | "PRV52914","No" 1546 | "PRV52916","No" 1547 | "PRV52917","No" 1548 | "PRV52918","No" 1549 | "PRV52919","No" 1550 | "PRV52920","No" 1551 | "PRV52921","No" 1552 | "PRV52922","No" 1553 | "PRV52924","No" 1554 | "PRV52925","No" 1555 | "PRV52926","No" 1556 | "PRV52928","No" 1557 | "PRV52929","No" 1558 | "PRV52930","No" 1559 | "PRV52931","No" 1560 | "PRV52932","No" 1561 | "PRV52933","Yes" 1562 | "PRV52934","No" 1563 | "PRV52935","No" 1564 | "PRV52936","No" 1565 | "PRV52937","No" 1566 | "PRV52938","No" 1567 | "PRV52940","No" 1568 | "PRV52941","No" 1569 | "PRV52942","No" 1570 | "PRV52943","No" 1571 | "PRV52944","No" 1572 | "PRV52945","No" 1573 | "PRV52948","No" 1574 | "PRV52949","No" 1575 | "PRV52950","No" 1576 | "PRV52951","No" 1577 | "PRV52952","No" 1578 | "PRV52953","No" 1579 | "PRV52954","No" 1580 | "PRV52955","No" 1581 | "PRV52956","No" 1582 | "PRV52957","No" 1583 | "PRV52958","No" 1584 | "PRV52961","No" 1585 | "PRV52962","No" 1586 | "PRV52963","No" 1587 | "PRV52964","No" 1588 | "PRV52966","No" 1589 | "PRV52970","No" 1590 | "PRV52971","No" 1591 | "PRV52972","No" 1592 | "PRV52976","No" 1593 | "PRV52978","No" 1594 | "PRV52979","No" 1595 | "PRV52980","No" 1596 | "PRV52981","No" 1597 | "PRV52982","Yes" 1598 | "PRV52985","Yes" 1599 | "PRV52986","No" 1600 | "PRV52988","No" 1601 | "PRV52989","Yes" 1602 | "PRV52990","Yes" 1603 | "PRV52991","No" 1604 | "PRV52993","No" 1605 | "PRV52996","No" 1606 | "PRV52998","No" 1607 | "PRV52999","No" 1608 | "PRV53000","No" 1609 | "PRV53001","No" 1610 | "PRV53002","No" 1611 | "PRV53004","No" 1612 | "PRV53005","Yes" 1613 | "PRV53007","Yes" 1614 | "PRV53008","Yes" 1615 | "PRV53009","No" 1616 | "PRV53013","No" 1617 | "PRV53014","No" 1618 | "PRV53015","No" 1619 | "PRV53016","No" 1620 | "PRV53017","No" 1621 | "PRV53018","No" 1622 | "PRV53019","No" 1623 | "PRV53020","No" 1624 | "PRV53021","Yes" 1625 | "PRV53024","No" 1626 | "PRV53025","No" 1627 | "PRV53026","No" 1628 | "PRV53027","No" 1629 | "PRV53028","No" 1630 | "PRV53029","No" 1631 | "PRV53031","No" 1632 | "PRV53032","No" 1633 | "PRV53033","No" 1634 | "PRV53034","No" 1635 | "PRV53035","No" 1636 | "PRV53036","No" 1637 | "PRV53037","No" 1638 | "PRV53038","No" 1639 | "PRV53040","No" 1640 | "PRV53042","No" 1641 | "PRV53043","No" 1642 | "PRV53044","No" 1643 | "PRV53045","No" 1644 | "PRV53047","No" 1645 | "PRV53048","No" 1646 | "PRV53049","No" 1647 | "PRV53050","No" 1648 | "PRV53052","No" 1649 | "PRV53054","No" 1650 | "PRV53055","No" 1651 | "PRV53056","No" 1652 | "PRV53057","No" 1653 | "PRV53059","No" 1654 | "PRV53061","No" 1655 | "PRV53062","No" 1656 | "PRV53063","No" 1657 | "PRV53064","No" 1658 | "PRV53065","No" 1659 | "PRV53066","No" 1660 | "PRV53067","No" 1661 | "PRV53069","No" 1662 | "PRV53070","No" 1663 | "PRV53071","No" 1664 | "PRV53072","No" 1665 | "PRV53073","No" 1666 | "PRV53074","No" 1667 | "PRV53075","No" 1668 | "PRV53076","No" 1669 | "PRV53077","No" 1670 | "PRV53078","No" 1671 | "PRV53079","No" 1672 | "PRV53081","No" 1673 | "PRV53083","No" 1674 | "PRV53084","No" 1675 | "PRV53085","No" 1676 | "PRV53086","No" 1677 | "PRV53087","No" 1678 | "PRV53090","No" 1679 | "PRV53091","No" 1680 | "PRV53095","No" 1681 | "PRV53096","No" 1682 | "PRV53099","No" 1683 | "PRV53100","No" 1684 | "PRV53101","No" 1685 | "PRV53102","No" 1686 | "PRV53103","No" 1687 | "PRV53104","No" 1688 | "PRV53106","Yes" 1689 | "PRV53107","No" 1690 | "PRV53108","No" 1691 | "PRV53109","No" 1692 | "PRV53110","No" 1693 | "PRV53111","No" 1694 | "PRV53113","No" 1695 | "PRV53114","Yes" 1696 | "PRV53116","No" 1697 | "PRV53117","No" 1698 | "PRV53119","Yes" 1699 | "PRV53120","No" 1700 | "PRV53121","Yes" 1701 | "PRV53122","No" 1702 | "PRV53123","No" 1703 | "PRV53124","No" 1704 | "PRV53125","No" 1705 | "PRV53126","No" 1706 | "PRV53127","No" 1707 | "PRV53128","No" 1708 | "PRV53129","No" 1709 | "PRV53131","No" 1710 | "PRV53133","No" 1711 | "PRV53134","No" 1712 | "PRV53135","No" 1713 | "PRV53136","Yes" 1714 | "PRV53137","No" 1715 | "PRV53138","No" 1716 | "PRV53139","No" 1717 | "PRV53140","No" 1718 | "PRV53141","No" 1719 | "PRV53142","Yes" 1720 | "PRV53143","No" 1721 | "PRV53144","No" 1722 | "PRV53145","No" 1723 | "PRV53147","No" 1724 | "PRV53148","No" 1725 | "PRV53149","No" 1726 | "PRV53150","No" 1727 | "PRV53151","No" 1728 | "PRV53153","No" 1729 | "PRV53154","No" 1730 | "PRV53156","No" 1731 | "PRV53157","No" 1732 | "PRV53158","No" 1733 | "PRV53159","No" 1734 | "PRV53161","No" 1735 | "PRV53162","No" 1736 | "PRV53163","No" 1737 | "PRV53164","No" 1738 | "PRV53166","No" 1739 | "PRV53167","No" 1740 | "PRV53168","No" 1741 | "PRV53169","No" 1742 | "PRV53171","No" 1743 | "PRV53172","No" 1744 | "PRV53173","No" 1745 | "PRV53174","No" 1746 | "PRV53175","No" 1747 | "PRV53176","No" 1748 | "PRV53177","No" 1749 | "PRV53178","No" 1750 | "PRV53179","No" 1751 | "PRV53180","No" 1752 | "PRV53182","No" 1753 | "PRV53183","No" 1754 | "PRV53186","No" 1755 | "PRV53187","No" 1756 | "PRV53188","No" 1757 | "PRV53189","No" 1758 | "PRV53191","No" 1759 | "PRV53192","No" 1760 | "PRV53194","No" 1761 | "PRV53196","No" 1762 | "PRV53197","No" 1763 | "PRV53198","No" 1764 | "PRV53201","No" 1765 | "PRV53202","No" 1766 | "PRV53203","No" 1767 | "PRV53204","No" 1768 | "PRV53205","No" 1769 | "PRV53206","No" 1770 | "PRV53207","No" 1771 | "PRV53208","Yes" 1772 | "PRV53210","No" 1773 | "PRV53211","No" 1774 | "PRV53212","No" 1775 | "PRV53213","No" 1776 | "PRV53214","No" 1777 | "PRV53215","No" 1778 | "PRV53216","No" 1779 | "PRV53217","No" 1780 | "PRV53218","No" 1781 | "PRV53220","No" 1782 | "PRV53221","No" 1783 | "PRV53222","No" 1784 | "PRV53223","No" 1785 | "PRV53224","No" 1786 | "PRV53225","No" 1787 | "PRV53226","No" 1788 | "PRV53227","No" 1789 | "PRV53228","No" 1790 | "PRV53229","No" 1791 | "PRV53230","No" 1792 | "PRV53232","No" 1793 | "PRV53233","No" 1794 | "PRV53235","No" 1795 | "PRV53236","No" 1796 | "PRV53237","No" 1797 | "PRV53238","No" 1798 | "PRV53239","No" 1799 | "PRV53240","No" 1800 | "PRV53242","Yes" 1801 | "PRV53243","No" 1802 | "PRV53244","No" 1803 | "PRV53245","Yes" 1804 | "PRV53246","No" 1805 | "PRV53247","No" 1806 | "PRV53248","No" 1807 | "PRV53249","No" 1808 | "PRV53251","No" 1809 | "PRV53252","No" 1810 | "PRV53253","No" 1811 | "PRV53254","No" 1812 | "PRV53255","No" 1813 | "PRV53256","No" 1814 | "PRV53257","No" 1815 | "PRV53258","No" 1816 | "PRV53259","No" 1817 | "PRV53260","No" 1818 | "PRV53261","No" 1819 | "PRV53262","No" 1820 | "PRV53265","Yes" 1821 | "PRV53266","Yes" 1822 | "PRV53268","No" 1823 | "PRV53269","Yes" 1824 | "PRV53272","No" 1825 | "PRV53274","No" 1826 | "PRV53276","No" 1827 | "PRV53277","Yes" 1828 | "PRV53279","No" 1829 | "PRV53280","No" 1830 | "PRV53281","No" 1831 | "PRV53282","No" 1832 | "PRV53283","No" 1833 | "PRV53284","No" 1834 | "PRV53288","No" 1835 | "PRV53289","No" 1836 | "PRV53290","No" 1837 | "PRV53291","No" 1838 | "PRV53292","No" 1839 | "PRV53293","No" 1840 | "PRV53294","No" 1841 | "PRV53295","Yes" 1842 | "PRV53296","No" 1843 | "PRV53297","Yes" 1844 | "PRV53298","No" 1845 | "PRV53300","No" 1846 | "PRV53301","No" 1847 | "PRV53303","No" 1848 | "PRV53304","No" 1849 | "PRV53305","No" 1850 | "PRV53306","No" 1851 | "PRV53307","No" 1852 | "PRV53308","No" 1853 | "PRV53309","No" 1854 | "PRV53310","No" 1855 | "PRV53312","No" 1856 | "PRV53313","No" 1857 | "PRV53314","No" 1858 | "PRV53315","No" 1859 | "PRV53317","No" 1860 | "PRV53318","No" 1861 | "PRV53319","No" 1862 | "PRV53320","No" 1863 | "PRV53321","No" 1864 | "PRV53323","No" 1865 | "PRV53325","No" 1866 | "PRV53326","No" 1867 | "PRV53329","No" 1868 | "PRV53331","No" 1869 | "PRV53334","No" 1870 | "PRV53335","No" 1871 | "PRV53336","No" 1872 | "PRV53337","No" 1873 | "PRV53339","No" 1874 | "PRV53340","No" 1875 | "PRV53341","No" 1876 | "PRV53342","No" 1877 | "PRV53343","No" 1878 | "PRV53344","No" 1879 | "PRV53346","No" 1880 | "PRV53347","No" 1881 | "PRV53349","No" 1882 | "PRV53350","No" 1883 | "PRV53351","No" 1884 | "PRV53352","No" 1885 | "PRV53353","No" 1886 | "PRV53354","No" 1887 | "PRV53355","No" 1888 | "PRV53356","No" 1889 | "PRV53357","No" 1890 | "PRV53358","No" 1891 | "PRV53359","No" 1892 | "PRV53360","No" 1893 | "PRV53361","No" 1894 | "PRV53362","No" 1895 | "PRV53363","No" 1896 | "PRV53364","No" 1897 | "PRV53365","No" 1898 | "PRV53369","No" 1899 | "PRV53370","No" 1900 | "PRV53371","No" 1901 | "PRV53373","No" 1902 | "PRV53374","No" 1903 | "PRV53375","No" 1904 | "PRV53376","No" 1905 | "PRV53377","No" 1906 | "PRV53378","No" 1907 | "PRV53379","Yes" 1908 | "PRV53380","No" 1909 | "PRV53381","No" 1910 | "PRV53382","No" 1911 | "PRV53383","No" 1912 | "PRV53384","Yes" 1913 | "PRV53385","Yes" 1914 | "PRV53386","No" 1915 | "PRV53387","No" 1916 | "PRV53388","No" 1917 | "PRV53389","No" 1918 | "PRV53390","No" 1919 | "PRV53391","No" 1920 | "PRV53392","No" 1921 | "PRV53393","No" 1922 | "PRV53394","No" 1923 | "PRV53396","No" 1924 | "PRV53397","Yes" 1925 | "PRV53398","No" 1926 | "PRV53399","Yes" 1927 | "PRV53401","Yes" 1928 | "PRV53402","No" 1929 | "PRV53403","No" 1930 | "PRV53405","No" 1931 | "PRV53407","No" 1932 | "PRV53408","No" 1933 | "PRV53409","No" 1934 | "PRV53411","No" 1935 | "PRV53412","No" 1936 | "PRV53413","No" 1937 | "PRV53415","No" 1938 | "PRV53416","No" 1939 | "PRV53417","Yes" 1940 | "PRV53419","No" 1941 | "PRV53421","Yes" 1942 | "PRV53423","No" 1943 | "PRV53424","No" 1944 | "PRV53426","No" 1945 | "PRV53427","No" 1946 | "PRV53428","No" 1947 | "PRV53429","No" 1948 | "PRV53431","No" 1949 | "PRV53432","No" 1950 | "PRV53433","No" 1951 | "PRV53435","No" 1952 | "PRV53436","No" 1953 | "PRV53437","No" 1954 | "PRV53438","No" 1955 | "PRV53439","No" 1956 | "PRV53440","No" 1957 | "PRV53441","No" 1958 | "PRV53442","No" 1959 | "PRV53443","No" 1960 | "PRV53444","No" 1961 | "PRV53445","No" 1962 | "PRV53446","No" 1963 | "PRV53447","No" 1964 | "PRV53448","No" 1965 | "PRV53449","No" 1966 | "PRV53450","No" 1967 | "PRV53451","No" 1968 | "PRV53452","No" 1969 | "PRV53453","No" 1970 | "PRV53454","No" 1971 | "PRV53455","No" 1972 | "PRV53456","No" 1973 | "PRV53457","No" 1974 | "PRV53460","No" 1975 | "PRV53461","Yes" 1976 | "PRV53462","No" 1977 | "PRV53463","No" 1978 | "PRV53465","No" 1979 | "PRV53467","No" 1980 | "PRV53469","No" 1981 | "PRV53470","No" 1982 | "PRV53471","No" 1983 | "PRV53472","No" 1984 | "PRV53473","No" 1985 | "PRV53474","No" 1986 | "PRV53475","No" 1987 | "PRV53476","No" 1988 | "PRV53477","No" 1989 | "PRV53478","No" 1990 | "PRV53479","No" 1991 | "PRV53480","No" 1992 | "PRV53482","No" 1993 | "PRV53483","No" 1994 | "PRV53484","No" 1995 | "PRV53485","No" 1996 | "PRV53486","No" 1997 | "PRV53487","No" 1998 | "PRV53489","No" 1999 | "PRV53490","No" 2000 | "PRV53491","No" 2001 | "PRV53492","No" 2002 | "PRV53494","No" 2003 | "PRV53495","No" 2004 | "PRV53496","No" 2005 | "PRV53498","No" 2006 | "PRV53499","No" 2007 | "PRV53501","No" 2008 | "PRV53502","No" 2009 | "PRV53503","No" 2010 | "PRV53504","No" 2011 | "PRV53506","No" 2012 | "PRV53507","No" 2013 | "PRV53509","No" 2014 | "PRV53510","No" 2015 | "PRV53511","No" 2016 | "PRV53513","No" 2017 | "PRV53515","No" 2018 | "PRV53516","No" 2019 | "PRV53517","No" 2020 | "PRV53519","No" 2021 | "PRV53520","No" 2022 | "PRV53521","No" 2023 | "PRV53522","No" 2024 | "PRV53523","No" 2025 | "PRV53524","No" 2026 | "PRV53525","No" 2027 | "PRV53526","No" 2028 | "PRV53527","No" 2029 | "PRV53530","No" 2030 | "PRV53531","No" 2031 | "PRV53532","No" 2032 | "PRV53533","No" 2033 | "PRV53534","No" 2034 | "PRV53535","No" 2035 | "PRV53536","No" 2036 | "PRV53539","No" 2037 | "PRV53540","No" 2038 | "PRV53544","No" 2039 | "PRV53545","No" 2040 | "PRV53547","No" 2041 | "PRV53548","No" 2042 | "PRV53549","No" 2043 | "PRV53550","No" 2044 | "PRV53551","No" 2045 | "PRV53553","No" 2046 | "PRV53554","No" 2047 | "PRV53555","No" 2048 | "PRV53556","No" 2049 | "PRV53558","No" 2050 | "PRV53559","No" 2051 | "PRV53560","No" 2052 | "PRV53561","No" 2053 | "PRV53562","No" 2054 | "PRV53563","No" 2055 | "PRV53564","No" 2056 | "PRV53565","No" 2057 | "PRV53566","No" 2058 | "PRV53568","No" 2059 | "PRV53569","No" 2060 | "PRV53570","No" 2061 | "PRV53571","No" 2062 | "PRV53572","No" 2063 | "PRV53573","No" 2064 | "PRV53574","No" 2065 | "PRV53577","No" 2066 | "PRV53578","No" 2067 | "PRV53581","No" 2068 | "PRV53582","No" 2069 | "PRV53584","No" 2070 | "PRV53585","No" 2071 | "PRV53586","No" 2072 | "PRV53587","No" 2073 | "PRV53588","No" 2074 | "PRV53589","No" 2075 | "PRV53590","No" 2076 | "PRV53591","No" 2077 | "PRV53593","No" 2078 | "PRV53594","No" 2079 | "PRV53595","No" 2080 | "PRV53596","No" 2081 | "PRV53597","No" 2082 | "PRV53598","No" 2083 | "PRV53599","No" 2084 | "PRV53600","No" 2085 | "PRV53601","No" 2086 | "PRV53602","No" 2087 | "PRV53604","No" 2088 | "PRV53605","No" 2089 | "PRV53606","No" 2090 | "PRV53607","No" 2091 | "PRV53608","No" 2092 | "PRV53609","No" 2093 | "PRV53611","No" 2094 | "PRV53612","No" 2095 | "PRV53613","No" 2096 | "PRV53614","No" 2097 | "PRV53616","No" 2098 | "PRV53617","No" 2099 | "PRV53618","No" 2100 | "PRV53619","No" 2101 | "PRV53620","No" 2102 | "PRV53621","No" 2103 | "PRV53622","No" 2104 | "PRV53623","Yes" 2105 | "PRV53624","No" 2106 | "PRV53625","No" 2107 | "PRV53626","No" 2108 | "PRV53627","No" 2109 | "PRV53628","No" 2110 | "PRV53629","No" 2111 | "PRV53631","No" 2112 | "PRV53632","No" 2113 | "PRV53633","No" 2114 | "PRV53634","No" 2115 | "PRV53635","No" 2116 | "PRV53638","No" 2117 | "PRV53640","No" 2118 | "PRV53641","No" 2119 | "PRV53642","No" 2120 | "PRV53643","No" 2121 | "PRV53644","No" 2122 | "PRV53645","No" 2123 | "PRV53646","No" 2124 | "PRV53647","No" 2125 | "PRV53648","No" 2126 | "PRV53649","No" 2127 | "PRV53651","No" 2128 | "PRV53652","No" 2129 | "PRV53654","No" 2130 | "PRV53655","No" 2131 | "PRV53656","No" 2132 | "PRV53657","No" 2133 | "PRV53658","No" 2134 | "PRV53659","No" 2135 | "PRV53660","No" 2136 | "PRV53661","No" 2137 | "PRV53662","No" 2138 | "PRV53663","No" 2139 | "PRV53664","No" 2140 | "PRV53665","No" 2141 | "PRV53666","No" 2142 | "PRV53667","No" 2143 | "PRV53668","Yes" 2144 | "PRV53669","No" 2145 | "PRV53670","Yes" 2146 | "PRV53671","Yes" 2147 | "PRV53672","No" 2148 | "PRV53673","No" 2149 | "PRV53674","No" 2150 | "PRV53675","No" 2151 | "PRV53676","No" 2152 | "PRV53677","Yes" 2153 | "PRV53678","No" 2154 | "PRV53679","No" 2155 | "PRV53680","No" 2156 | "PRV53681","No" 2157 | "PRV53682","No" 2158 | "PRV53683","No" 2159 | "PRV53684","No" 2160 | "PRV53685","No" 2161 | "PRV53686","No" 2162 | "PRV53688","No" 2163 | "PRV53689","No" 2164 | "PRV53690","No" 2165 | "PRV53692","Yes" 2166 | "PRV53694","No" 2167 | "PRV53695","No" 2168 | "PRV53696","No" 2169 | "PRV53697","No" 2170 | "PRV53698","No" 2171 | "PRV53699","No" 2172 | "PRV53700","No" 2173 | "PRV53701","No" 2174 | "PRV53702","No" 2175 | "PRV53703","No" 2176 | "PRV53704","No" 2177 | "PRV53705","No" 2178 | "PRV53706","Yes" 2179 | "PRV53708","No" 2180 | "PRV53709","No" 2181 | "PRV53710","No" 2182 | "PRV53712","Yes" 2183 | "PRV53713","No" 2184 | "PRV53714","No" 2185 | "PRV53715","No" 2186 | "PRV53716","No" 2187 | "PRV53717","No" 2188 | "PRV53718","No" 2189 | "PRV53719","No" 2190 | "PRV53720","No" 2191 | "PRV53721","No" 2192 | "PRV53722","No" 2193 | "PRV53723","No" 2194 | "PRV53724","No" 2195 | "PRV53725","No" 2196 | "PRV53726","No" 2197 | "PRV53727","No" 2198 | "PRV53728","No" 2199 | "PRV53729","No" 2200 | "PRV53730","No" 2201 | "PRV53731","No" 2202 | "PRV53732","No" 2203 | "PRV53733","No" 2204 | "PRV53734","No" 2205 | "PRV53735","No" 2206 | "PRV53740","No" 2207 | "PRV53741","No" 2208 | "PRV53743","No" 2209 | "PRV53745","No" 2210 | "PRV53746","No" 2211 | "PRV53749","Yes" 2212 | "PRV53750","No" 2213 | "PRV53751","No" 2214 | "PRV53752","No" 2215 | "PRV53754","No" 2216 | "PRV53755","No" 2217 | "PRV53756","No" 2218 | "PRV53757","No" 2219 | "PRV53759","No" 2220 | "PRV53761","No" 2221 | "PRV53762","Yes" 2222 | "PRV53763","Yes" 2223 | "PRV53764","No" 2224 | "PRV53765","No" 2225 | "PRV53766","No" 2226 | "PRV53767","No" 2227 | "PRV53768","No" 2228 | "PRV53769","Yes" 2229 | "PRV53770","No" 2230 | "PRV53771","No" 2231 | "PRV53772","No" 2232 | "PRV53773","No" 2233 | "PRV53774","No" 2234 | "PRV53775","No" 2235 | "PRV53776","Yes" 2236 | "PRV53779","No" 2237 | "PRV53780","No" 2238 | "PRV53781","Yes" 2239 | "PRV53782","No" 2240 | "PRV53783","No" 2241 | "PRV53784","No" 2242 | "PRV53785","No" 2243 | "PRV53786","Yes" 2244 | "PRV53787","Yes" 2245 | "PRV53788","No" 2246 | "PRV53790","Yes" 2247 | "PRV53791","No" 2248 | "PRV53792","Yes" 2249 | "PRV53793","No" 2250 | "PRV53794","No" 2251 | "PRV53796","No" 2252 | "PRV53797","Yes" 2253 | "PRV53798","No" 2254 | "PRV53799","No" 2255 | "PRV53801","No" 2256 | "PRV53802","No" 2257 | "PRV53805","No" 2258 | "PRV53806","No" 2259 | "PRV53807","No" 2260 | "PRV53808","Yes" 2261 | "PRV53812","No" 2262 | "PRV53814","No" 2263 | "PRV53815","No" 2264 | "PRV53816","No" 2265 | "PRV53817","No" 2266 | "PRV53818","No" 2267 | "PRV53819","No" 2268 | "PRV53820","No" 2269 | "PRV53821","No" 2270 | "PRV53824","No" 2271 | "PRV53827","No" 2272 | "PRV53828","No" 2273 | "PRV53829","No" 2274 | "PRV53831","No" 2275 | "PRV53832","No" 2276 | "PRV53835","No" 2277 | "PRV53836","No" 2278 | "PRV53837","No" 2279 | "PRV53838","No" 2280 | "PRV53839","No" 2281 | "PRV53840","No" 2282 | "PRV53841","No" 2283 | "PRV53842","No" 2284 | "PRV53843","No" 2285 | "PRV53844","No" 2286 | "PRV53845","No" 2287 | "PRV53846","No" 2288 | "PRV53848","No" 2289 | "PRV53849","No" 2290 | "PRV53850","No" 2291 | "PRV53851","No" 2292 | "PRV53855","Yes" 2293 | "PRV53857","No" 2294 | "PRV53859","No" 2295 | "PRV53860","No" 2296 | "PRV53861","No" 2297 | "PRV53862","No" 2298 | "PRV53864","No" 2299 | "PRV53865","No" 2300 | "PRV53867","No" 2301 | "PRV53868","No" 2302 | "PRV53871","No" 2303 | "PRV53872","No" 2304 | "PRV53873","No" 2305 | "PRV53874","No" 2306 | "PRV53875","No" 2307 | "PRV53876","No" 2308 | "PRV53877","No" 2309 | "PRV53878","No" 2310 | "PRV53879","No" 2311 | "PRV53880","No" 2312 | "PRV53884","Yes" 2313 | "PRV53885","No" 2314 | "PRV53887","Yes" 2315 | "PRV53888","No" 2316 | "PRV53889","No" 2317 | "PRV53891","No" 2318 | "PRV53892","No" 2319 | "PRV53894","Yes" 2320 | "PRV53895","Yes" 2321 | "PRV53896","No" 2322 | "PRV53899","No" 2323 | "PRV53900","Yes" 2324 | "PRV53901","No" 2325 | "PRV53905","No" 2326 | "PRV53906","No" 2327 | "PRV53907","No" 2328 | "PRV53908","No" 2329 | "PRV53909","No" 2330 | "PRV53910","No" 2331 | "PRV53911","Yes" 2332 | "PRV53912","No" 2333 | "PRV53913","No" 2334 | "PRV53915","No" 2335 | "PRV53916","No" 2336 | "PRV53917","No" 2337 | "PRV53918","Yes" 2338 | "PRV53919","Yes" 2339 | "PRV53920","No" 2340 | "PRV53921","No" 2341 | "PRV53922","No" 2342 | "PRV53923","Yes" 2343 | "PRV53924","No" 2344 | "PRV53925","No" 2345 | "PRV53926","No" 2346 | "PRV53927","No" 2347 | "PRV53928","No" 2348 | "PRV53931","No" 2349 | "PRV53932","No" 2350 | "PRV53933","No" 2351 | "PRV53934","No" 2352 | "PRV53935","No" 2353 | "PRV53937","Yes" 2354 | "PRV53938","Yes" 2355 | "PRV53939","No" 2356 | "PRV53940","No" 2357 | "PRV53941","No" 2358 | "PRV53942","No" 2359 | "PRV53943","No" 2360 | "PRV53944","No" 2361 | "PRV53945","No" 2362 | "PRV53946","No" 2363 | "PRV53947","No" 2364 | "PRV53949","No" 2365 | "PRV53950","No" 2366 | "PRV53951","Yes" 2367 | "PRV53952","No" 2368 | "PRV53956","No" 2369 | "PRV53957","No" 2370 | "PRV53958","No" 2371 | "PRV53959","Yes" 2372 | "PRV53960","No" 2373 | "PRV53961","Yes" 2374 | "PRV53963","No" 2375 | "PRV53964","No" 2376 | "PRV53965","No" 2377 | "PRV53966","No" 2378 | "PRV53967","No" 2379 | "PRV53968","No" 2380 | "PRV53969","No" 2381 | "PRV53970","No" 2382 | "PRV53971","No" 2383 | "PRV53972","No" 2384 | "PRV53973","No" 2385 | "PRV53974","No" 2386 | "PRV53975","No" 2387 | "PRV53977","No" 2388 | "PRV53978","No" 2389 | "PRV53979","No" 2390 | "PRV53980","No" 2391 | "PRV53981","No" 2392 | "PRV53982","No" 2393 | "PRV53983","No" 2394 | "PRV53985","Yes" 2395 | "PRV53986","No" 2396 | "PRV53988","No" 2397 | "PRV53989","No" 2398 | "PRV53990","No" 2399 | "PRV53991","No" 2400 | "PRV53992","No" 2401 | "PRV53993","No" 2402 | "PRV53994","No" 2403 | "PRV53995","No" 2404 | "PRV53996","No" 2405 | "PRV53997","No" 2406 | "PRV53999","No" 2407 | "PRV54000","No" 2408 | "PRV54001","No" 2409 | "PRV54002","No" 2410 | "PRV54004","No" 2411 | "PRV54005","No" 2412 | "PRV54006","No" 2413 | "PRV54007","No" 2414 | "PRV54008","No" 2415 | "PRV54009","No" 2416 | "PRV54011","No" 2417 | "PRV54012","No" 2418 | "PRV54013","No" 2419 | "PRV54014","No" 2420 | "PRV54016","No" 2421 | "PRV54017","No" 2422 | "PRV54019","No" 2423 | "PRV54020","No" 2424 | "PRV54021","No" 2425 | "PRV54023","No" 2426 | "PRV54024","No" 2427 | "PRV54025","No" 2428 | "PRV54026","No" 2429 | "PRV54027","No" 2430 | "PRV54028","No" 2431 | "PRV54029","No" 2432 | "PRV54030","No" 2433 | "PRV54031","No" 2434 | "PRV54033","No" 2435 | "PRV54034","No" 2436 | "PRV54036","No" 2437 | "PRV54037","No" 2438 | "PRV54038","No" 2439 | "PRV54039","No" 2440 | "PRV54040","No" 2441 | "PRV54041","No" 2442 | "PRV54043","No" 2443 | "PRV54044","No" 2444 | "PRV54045","No" 2445 | "PRV54046","No" 2446 | "PRV54048","No" 2447 | "PRV54049","No" 2448 | "PRV54050","No" 2449 | "PRV54051","No" 2450 | "PRV54052","No" 2451 | "PRV54053","No" 2452 | "PRV54054","No" 2453 | "PRV54055","No" 2454 | "PRV54056","Yes" 2455 | "PRV54057","No" 2456 | "PRV54058","No" 2457 | "PRV54059","No" 2458 | "PRV54060","No" 2459 | "PRV54061","No" 2460 | "PRV54062","No" 2461 | "PRV54063","No" 2462 | "PRV54064","No" 2463 | "PRV54065","Yes" 2464 | "PRV54066","No" 2465 | "PRV54068","No" 2466 | "PRV54070","Yes" 2467 | "PRV54071","No" 2468 | "PRV54072","No" 2469 | "PRV54073","No" 2470 | "PRV54074","Yes" 2471 | "PRV54075","Yes" 2472 | "PRV54076","No" 2473 | "PRV54077","Yes" 2474 | "PRV54078","No" 2475 | "PRV54080","No" 2476 | "PRV54081","No" 2477 | "PRV54082","No" 2478 | "PRV54083","No" 2479 | "PRV54084","No" 2480 | "PRV54085","No" 2481 | "PRV54086","No" 2482 | "PRV54089","No" 2483 | "PRV54090","No" 2484 | "PRV54091","No" 2485 | "PRV54092","No" 2486 | "PRV54093","Yes" 2487 | "PRV54096","No" 2488 | "PRV54098","Yes" 2489 | "PRV54099","No" 2490 | "PRV54101","No" 2491 | "PRV54102","No" 2492 | "PRV54103","Yes" 2493 | "PRV54106","No" 2494 | "PRV54107","No" 2495 | "PRV54109","No" 2496 | "PRV54110","No" 2497 | "PRV54111","Yes" 2498 | "PRV54112","No" 2499 | "PRV54113","No" 2500 | "PRV54114","No" 2501 | "PRV54115","No" 2502 | "PRV54116","No" 2503 | "PRV54117","No" 2504 | "PRV54118","No" 2505 | "PRV54119","No" 2506 | "PRV54120","No" 2507 | "PRV54121","No" 2508 | "PRV54122","No" 2509 | "PRV54123","No" 2510 | "PRV54124","No" 2511 | "PRV54125","No" 2512 | "PRV54127","No" 2513 | "PRV54128","No" 2514 | "PRV54129","No" 2515 | "PRV54130","No" 2516 | "PRV54131","No" 2517 | "PRV54132","No" 2518 | "PRV54133","No" 2519 | "PRV54134","No" 2520 | "PRV54135","No" 2521 | "PRV54136","No" 2522 | "PRV54139","No" 2523 | "PRV54140","No" 2524 | "PRV54141","No" 2525 | "PRV54142","No" 2526 | "PRV54144","Yes" 2527 | "PRV54145","No" 2528 | "PRV54146","No" 2529 | "PRV54148","No" 2530 | "PRV54149","Yes" 2531 | "PRV54150","No" 2532 | "PRV54153","No" 2533 | "PRV54154","No" 2534 | "PRV54155","No" 2535 | "PRV54156","No" 2536 | "PRV54157","No" 2537 | "PRV54158","No" 2538 | "PRV54159","No" 2539 | "PRV54160","No" 2540 | "PRV54162","No" 2541 | "PRV54163","No" 2542 | "PRV54164","No" 2543 | "PRV54166","No" 2544 | "PRV54167","No" 2545 | "PRV54168","No" 2546 | "PRV54171","No" 2547 | "PRV54172","No" 2548 | "PRV54173","No" 2549 | "PRV54175","No" 2550 | "PRV54176","No" 2551 | "PRV54177","No" 2552 | "PRV54178","No" 2553 | "PRV54179","No" 2554 | "PRV54180","No" 2555 | "PRV54181","No" 2556 | "PRV54182","No" 2557 | "PRV54183","No" 2558 | "PRV54184","No" 2559 | "PRV54185","No" 2560 | "PRV54186","No" 2561 | "PRV54187","No" 2562 | "PRV54188","No" 2563 | "PRV54191","No" 2564 | "PRV54192","No" 2565 | "PRV54193","No" 2566 | "PRV54194","No" 2567 | "PRV54196","No" 2568 | "PRV54197","No" 2569 | "PRV54198","No" 2570 | "PRV54199","No" 2571 | "PRV54200","No" 2572 | "PRV54201","No" 2573 | "PRV54202","No" 2574 | "PRV54203","No" 2575 | "PRV54204","No" 2576 | "PRV54205","No" 2577 | "PRV54206","No" 2578 | "PRV54207","No" 2579 | "PRV54208","No" 2580 | "PRV54209","Yes" 2581 | "PRV54210","No" 2582 | "PRV54212","No" 2583 | "PRV54213","No" 2584 | "PRV54215","No" 2585 | "PRV54216","No" 2586 | "PRV54217","No" 2587 | "PRV54219","No" 2588 | "PRV54220","No" 2589 | "PRV54222","No" 2590 | "PRV54223","No" 2591 | "PRV54224","No" 2592 | "PRV54225","Yes" 2593 | "PRV54226","No" 2594 | "PRV54227","No" 2595 | "PRV54228","No" 2596 | "PRV54230","Yes" 2597 | "PRV54231","No" 2598 | "PRV54232","No" 2599 | "PRV54233","No" 2600 | "PRV54235","No" 2601 | "PRV54237","No" 2602 | "PRV54238","No" 2603 | "PRV54239","No" 2604 | "PRV54240","No" 2605 | "PRV54242","No" 2606 | "PRV54244","No" 2607 | "PRV54245","No" 2608 | "PRV54246","No" 2609 | "PRV54247","No" 2610 | "PRV54250","No" 2611 | "PRV54251","No" 2612 | "PRV54252","No" 2613 | "PRV54253","No" 2614 | "PRV54254","No" 2615 | "PRV54255","No" 2616 | "PRV54256","No" 2617 | "PRV54257","No" 2618 | "PRV54258","Yes" 2619 | "PRV54259","No" 2620 | "PRV54261","No" 2621 | "PRV54262","No" 2622 | "PRV54263","No" 2623 | "PRV54265","No" 2624 | "PRV54266","No" 2625 | "PRV54267","No" 2626 | "PRV54269","No" 2627 | "PRV54270","No" 2628 | "PRV54271","No" 2629 | "PRV54273","No" 2630 | "PRV54274","No" 2631 | "PRV54275","No" 2632 | "PRV54276","No" 2633 | "PRV54278","No" 2634 | "PRV54280","No" 2635 | "PRV54282","No" 2636 | "PRV54283","No" 2637 | "PRV54284","No" 2638 | "PRV54285","No" 2639 | "PRV54287","No" 2640 | "PRV54288","No" 2641 | "PRV54289","No" 2642 | "PRV54290","No" 2643 | "PRV54291","No" 2644 | "PRV54293","No" 2645 | "PRV54294","No" 2646 | "PRV54295","No" 2647 | "PRV54296","No" 2648 | "PRV54297","Yes" 2649 | "PRV54298","No" 2650 | "PRV54299","No" 2651 | "PRV54300","No" 2652 | "PRV54301","No" 2653 | "PRV54302","No" 2654 | "PRV54303","No" 2655 | "PRV54304","No" 2656 | "PRV54305","No" 2657 | "PRV54306","No" 2658 | "PRV54307","No" 2659 | "PRV54308","No" 2660 | "PRV54309","No" 2661 | "PRV54310","No" 2662 | "PRV54311","No" 2663 | "PRV54312","No" 2664 | "PRV54313","No" 2665 | "PRV54315","No" 2666 | "PRV54316","No" 2667 | "PRV54317","No" 2668 | "PRV54319","No" 2669 | "PRV54320","No" 2670 | "PRV54323","Yes" 2671 | "PRV54324","No" 2672 | "PRV54325","No" 2673 | "PRV54326","No" 2674 | "PRV54327","Yes" 2675 | "PRV54328","No" 2676 | "PRV54330","No" 2677 | "PRV54332","No" 2678 | "PRV54333","Yes" 2679 | "PRV54334","No" 2680 | "PRV54335","No" 2681 | "PRV54336","Yes" 2682 | "PRV54337","No" 2683 | "PRV54339","No" 2684 | "PRV54340","No" 2685 | "PRV54341","No" 2686 | "PRV54342","No" 2687 | "PRV54343","No" 2688 | "PRV54344","No" 2689 | "PRV54345","No" 2690 | "PRV54347","No" 2691 | "PRV54348","No" 2692 | "PRV54349","No" 2693 | "PRV54350","Yes" 2694 | "PRV54352","No" 2695 | "PRV54353","No" 2696 | "PRV54354","Yes" 2697 | "PRV54355","No" 2698 | "PRV54356","No" 2699 | "PRV54357","No" 2700 | "PRV54358","No" 2701 | "PRV54359","Yes" 2702 | "PRV54360","No" 2703 | "PRV54361","Yes" 2704 | "PRV54362","No" 2705 | "PRV54363","No" 2706 | "PRV54365","No" 2707 | "PRV54367","Yes" 2708 | "PRV54368","No" 2709 | "PRV54370","No" 2710 | "PRV54371","No" 2711 | "PRV54372","Yes" 2712 | "PRV54373","No" 2713 | "PRV54374","No" 2714 | "PRV54375","No" 2715 | "PRV54377","No" 2716 | "PRV54378","No" 2717 | "PRV54379","No" 2718 | "PRV54380","No" 2719 | "PRV54381","No" 2720 | "PRV54382","Yes" 2721 | "PRV54383","No" 2722 | "PRV54384","No" 2723 | "PRV54387","No" 2724 | "PRV54388","Yes" 2725 | "PRV54389","No" 2726 | "PRV54390","No" 2727 | "PRV54391","Yes" 2728 | "PRV54392","No" 2729 | "PRV54393","No" 2730 | "PRV54396","No" 2731 | "PRV54399","Yes" 2732 | "PRV54400","No" 2733 | "PRV54401","No" 2734 | "PRV54402","No" 2735 | "PRV54403","No" 2736 | "PRV54404","No" 2737 | "PRV54407","No" 2738 | "PRV54408","No" 2739 | "PRV54409","No" 2740 | "PRV54410","No" 2741 | "PRV54411","No" 2742 | "PRV54412","No" 2743 | "PRV54413","No" 2744 | "PRV54414","No" 2745 | "PRV54415","No" 2746 | "PRV54416","No" 2747 | "PRV54419","No" 2748 | "PRV54420","No" 2749 | "PRV54421","No" 2750 | "PRV54422","No" 2751 | "PRV54423","No" 2752 | "PRV54424","No" 2753 | "PRV54425","No" 2754 | "PRV54426","No" 2755 | "PRV54427","No" 2756 | "PRV54429","No" 2757 | "PRV54430","No" 2758 | "PRV54431","No" 2759 | "PRV54432","No" 2760 | "PRV54433","No" 2761 | "PRV54434","No" 2762 | "PRV54435","No" 2763 | "PRV54436","No" 2764 | "PRV54437","No" 2765 | "PRV54438","No" 2766 | "PRV54439","No" 2767 | "PRV54441","No" 2768 | "PRV54442","No" 2769 | "PRV54443","No" 2770 | "PRV54444","No" 2771 | "PRV54448","No" 2772 | "PRV54449","No" 2773 | "PRV54450","No" 2774 | "PRV54451","No" 2775 | "PRV54452","No" 2776 | "PRV54454","No" 2777 | "PRV54455","No" 2778 | "PRV54456","No" 2779 | "PRV54457","No" 2780 | "PRV54459","No" 2781 | "PRV54460","No" 2782 | "PRV54461","No" 2783 | "PRV54462","No" 2784 | "PRV54463","No" 2785 | "PRV54465","No" 2786 | "PRV54466","No" 2787 | "PRV54467","No" 2788 | "PRV54468","No" 2789 | "PRV54469","No" 2790 | "PRV54471","No" 2791 | "PRV54472","No" 2792 | "PRV54473","No" 2793 | "PRV54475","No" 2794 | "PRV54477","No" 2795 | "PRV54478","No" 2796 | "PRV54479","No" 2797 | "PRV54480","No" 2798 | "PRV54481","No" 2799 | "PRV54482","No" 2800 | "PRV54483","No" 2801 | "PRV54486","No" 2802 | "PRV54489","No" 2803 | "PRV54490","No" 2804 | "PRV54491","No" 2805 | "PRV54496","No" 2806 | "PRV54497","No" 2807 | "PRV54498","No" 2808 | "PRV54499","No" 2809 | "PRV54500","No" 2810 | "PRV54501","No" 2811 | "PRV54502","No" 2812 | "PRV54503","No" 2813 | "PRV54504","Yes" 2814 | "PRV54505","Yes" 2815 | "PRV54506","No" 2816 | "PRV54507","No" 2817 | "PRV54508","No" 2818 | "PRV54509","No" 2819 | "PRV54510","No" 2820 | "PRV54511","No" 2821 | "PRV54514","Yes" 2822 | "PRV54515","No" 2823 | "PRV54517","No" 2824 | "PRV54519","No" 2825 | "PRV54520","No" 2826 | "PRV54521","No" 2827 | "PRV54522","No" 2828 | "PRV54523","No" 2829 | "PRV54524","No" 2830 | "PRV54526","No" 2831 | "PRV54528","No" 2832 | "PRV54529","No" 2833 | "PRV54530","No" 2834 | "PRV54531","No" 2835 | "PRV54535","No" 2836 | "PRV54536","No" 2837 | "PRV54537","No" 2838 | "PRV54538","No" 2839 | "PRV54539","No" 2840 | "PRV54540","Yes" 2841 | "PRV54541","No" 2842 | "PRV54542","No" 2843 | "PRV54543","Yes" 2844 | "PRV54544","No" 2845 | "PRV54545","No" 2846 | "PRV54546","No" 2847 | "PRV54547","No" 2848 | "PRV54548","No" 2849 | "PRV54549","No" 2850 | "PRV54550","No" 2851 | "PRV54551","No" 2852 | "PRV54552","No" 2853 | "PRV54553","No" 2854 | "PRV54554","No" 2855 | "PRV54555","No" 2856 | "PRV54557","Yes" 2857 | "PRV54558","No" 2858 | "PRV54559","No" 2859 | "PRV54560","Yes" 2860 | "PRV54561","No" 2861 | "PRV54562","No" 2862 | "PRV54563","No" 2863 | "PRV54564","No" 2864 | "PRV54565","No" 2865 | "PRV54566","Yes" 2866 | "PRV54567","No" 2867 | "PRV54568","No" 2868 | "PRV54569","No" 2869 | "PRV54571","No" 2870 | "PRV54572","No" 2871 | "PRV54573","No" 2872 | "PRV54574","No" 2873 | "PRV54575","No" 2874 | "PRV54576","No" 2875 | "PRV54577","No" 2876 | "PRV54578","No" 2877 | "PRV54579","No" 2878 | "PRV54580","No" 2879 | "PRV54581","No" 2880 | "PRV54582","No" 2881 | "PRV54585","No" 2882 | "PRV54587","No" 2883 | "PRV54588","No" 2884 | "PRV54589","No" 2885 | "PRV54590","No" 2886 | "PRV54591","No" 2887 | "PRV54593","No" 2888 | "PRV54595","No" 2889 | "PRV54596","No" 2890 | "PRV54597","No" 2891 | "PRV54598","No" 2892 | "PRV54599","No" 2893 | "PRV54601","No" 2894 | "PRV54602","No" 2895 | "PRV54603","No" 2896 | "PRV54604","No" 2897 | "PRV54606","No" 2898 | "PRV54608","No" 2899 | "PRV54609","No" 2900 | "PRV54610","No" 2901 | "PRV54611","No" 2902 | "PRV54612","No" 2903 | "PRV54614","No" 2904 | "PRV54615","No" 2905 | "PRV54616","No" 2906 | "PRV54618","No" 2907 | "PRV54619","No" 2908 | "PRV54620","No" 2909 | "PRV54621","No" 2910 | "PRV54622","No" 2911 | "PRV54623","No" 2912 | "PRV54624","No" 2913 | "PRV54625","No" 2914 | "PRV54627","No" 2915 | "PRV54628","No" 2916 | "PRV54629","No" 2917 | "PRV54630","No" 2918 | "PRV54633","No" 2919 | "PRV54634","No" 2920 | "PRV54635","No" 2921 | "PRV54636","No" 2922 | "PRV54637","No" 2923 | "PRV54638","No" 2924 | "PRV54639","No" 2925 | "PRV54640","No" 2926 | "PRV54642","No" 2927 | "PRV54643","No" 2928 | "PRV54644","Yes" 2929 | "PRV54645","No" 2930 | "PRV54646","No" 2931 | "PRV54649","Yes" 2932 | "PRV54651","Yes" 2933 | "PRV54652","No" 2934 | "PRV54653","No" 2935 | "PRV54656","No" 2936 | "PRV54657","No" 2937 | "PRV54658","No" 2938 | "PRV54660","No" 2939 | "PRV54661","No" 2940 | "PRV54662","No" 2941 | "PRV54664","No" 2942 | "PRV54666","No" 2943 | "PRV54667","No" 2944 | "PRV54668","No" 2945 | "PRV54670","No" 2946 | "PRV54671","No" 2947 | "PRV54672","No" 2948 | "PRV54673","No" 2949 | "PRV54674","No" 2950 | "PRV54675","Yes" 2951 | "PRV54676","Yes" 2952 | "PRV54677","No" 2953 | "PRV54678","No" 2954 | "PRV54679","No" 2955 | "PRV54680","Yes" 2956 | "PRV54681","No" 2957 | "PRV54682","No" 2958 | "PRV54683","No" 2959 | "PRV54684","No" 2960 | "PRV54685","No" 2961 | "PRV54686","No" 2962 | "PRV54687","No" 2963 | "PRV54688","Yes" 2964 | "PRV54689","No" 2965 | "PRV54690","No" 2966 | "PRV54691","No" 2967 | "PRV54692","Yes" 2968 | "PRV54693","No" 2969 | "PRV54694","No" 2970 | "PRV54695","No" 2971 | "PRV54696","No" 2972 | "PRV54697","No" 2973 | "PRV54699","No" 2974 | "PRV54701","No" 2975 | "PRV54703","No" 2976 | "PRV54704","No" 2977 | "PRV54705","No" 2978 | "PRV54707","No" 2979 | "PRV54708","No" 2980 | "PRV54710","No" 2981 | "PRV54711","No" 2982 | "PRV54712","No" 2983 | "PRV54713","No" 2984 | "PRV54714","No" 2985 | "PRV54715","No" 2986 | "PRV54716","No" 2987 | "PRV54717","No" 2988 | "PRV54718","Yes" 2989 | "PRV54720","No" 2990 | "PRV54723","No" 2991 | "PRV54724","No" 2992 | "PRV54725","No" 2993 | "PRV54726","No" 2994 | "PRV54727","No" 2995 | "PRV54728","No" 2996 | "PRV54730","No" 2997 | "PRV54734","No" 2998 | "PRV54735","No" 2999 | "PRV54737","No" 3000 | "PRV54739","Yes" 3001 | "PRV54741","No" 3002 | "PRV54742","Yes" 3003 | "PRV54743","Yes" 3004 | "PRV54745","No" 3005 | "PRV54747","No" 3006 | "PRV54748","No" 3007 | "PRV54753","No" 3008 | "PRV54756","No" 3009 | "PRV54757","No" 3010 | "PRV54758","No" 3011 | "PRV54759","No" 3012 | "PRV54760","No" 3013 | "PRV54761","No" 3014 | "PRV54763","No" 3015 | "PRV54764","No" 3016 | "PRV54765","Yes" 3017 | "PRV54767","No" 3018 | "PRV54768","No" 3019 | "PRV54771","Yes" 3020 | "PRV54772","Yes" 3021 | "PRV54773","No" 3022 | "PRV54774","No" 3023 | "PRV54776","No" 3024 | "PRV54778","Yes" 3025 | "PRV54779","No" 3026 | "PRV54780","No" 3027 | "PRV54781","Yes" 3028 | "PRV54783","No" 3029 | "PRV54784","No" 3030 | "PRV54785","No" 3031 | "PRV54786","Yes" 3032 | "PRV54787","No" 3033 | "PRV54789","No" 3034 | "PRV54790","No" 3035 | "PRV54792","No" 3036 | "PRV54793","No" 3037 | "PRV54794","No" 3038 | "PRV54795","No" 3039 | "PRV54796","No" 3040 | "PRV54798","No" 3041 | "PRV54799","No" 3042 | "PRV54800","No" 3043 | "PRV54802","No" 3044 | "PRV54803","No" 3045 | "PRV54805","No" 3046 | "PRV54806","No" 3047 | "PRV54808","Yes" 3048 | "PRV54809","No" 3049 | "PRV54810","No" 3050 | "PRV54812","No" 3051 | "PRV54813","No" 3052 | "PRV54814","No" 3053 | "PRV54817","No" 3054 | "PRV54818","No" 3055 | "PRV54819","No" 3056 | "PRV54820","No" 3057 | "PRV54821","No" 3058 | "PRV54822","Yes" 3059 | "PRV54824","No" 3060 | "PRV54827","No" 3061 | "PRV54828","Yes" 3062 | "PRV54829","No" 3063 | "PRV54830","No" 3064 | "PRV54831","No" 3065 | "PRV54832","Yes" 3066 | "PRV54833","No" 3067 | "PRV54834","No" 3068 | "PRV54836","No" 3069 | "PRV54837","Yes" 3070 | "PRV54838","No" 3071 | "PRV54840","No" 3072 | "PRV54841","No" 3073 | "PRV54842","No" 3074 | "PRV54845","Yes" 3075 | "PRV54846","No" 3076 | "PRV54847","No" 3077 | "PRV54848","No" 3078 | "PRV54849","No" 3079 | "PRV54852","No" 3080 | "PRV54854","No" 3081 | "PRV54855","No" 3082 | "PRV54856","No" 3083 | "PRV54859","No" 3084 | "PRV54860","No" 3085 | "PRV54861","No" 3086 | "PRV54862","No" 3087 | "PRV54863","No" 3088 | "PRV54864","No" 3089 | "PRV54865","No" 3090 | "PRV54866","No" 3091 | "PRV54867","No" 3092 | "PRV54868","No" 3093 | "PRV54869","No" 3094 | "PRV54870","No" 3095 | "PRV54871","No" 3096 | "PRV54873","No" 3097 | "PRV54875","Yes" 3098 | "PRV54876","Yes" 3099 | "PRV54877","No" 3100 | "PRV54878","No" 3101 | "PRV54879","Yes" 3102 | "PRV54881","No" 3103 | "PRV54882","Yes" 3104 | "PRV54883","No" 3105 | "PRV54885","No" 3106 | "PRV54886","No" 3107 | "PRV54887","No" 3108 | "PRV54888","No" 3109 | "PRV54889","No" 3110 | "PRV54890","No" 3111 | "PRV54891","No" 3112 | "PRV54892","No" 3113 | "PRV54893","No" 3114 | "PRV54894","Yes" 3115 | "PRV54895","Yes" 3116 | "PRV54896","Yes" 3117 | "PRV54898","No" 3118 | "PRV54900","No" 3119 | "PRV54901","No" 3120 | "PRV54902","No" 3121 | "PRV54903","No" 3122 | "PRV54904","No" 3123 | "PRV54905","No" 3124 | "PRV54906","No" 3125 | "PRV54907","No" 3126 | "PRV54908","No" 3127 | "PRV54909","No" 3128 | "PRV54910","No" 3129 | "PRV54911","No" 3130 | "PRV54914","No" 3131 | "PRV54916","No" 3132 | "PRV54917","No" 3133 | "PRV54918","Yes" 3134 | "PRV54919","No" 3135 | "PRV54923","No" 3136 | "PRV54924","No" 3137 | "PRV54925","Yes" 3138 | "PRV54926","No" 3139 | "PRV54927","No" 3140 | "PRV54929","Yes" 3141 | "PRV54930","No" 3142 | "PRV54931","Yes" 3143 | "PRV54932","No" 3144 | "PRV54933","Yes" 3145 | "PRV54934","No" 3146 | "PRV54935","No" 3147 | "PRV54936","Yes" 3148 | "PRV54937","No" 3149 | "PRV54938","No" 3150 | "PRV54939","Yes" 3151 | "PRV54941","No" 3152 | "PRV54942","Yes" 3153 | "PRV54943","No" 3154 | "PRV54944","No" 3155 | "PRV54945","No" 3156 | "PRV54946","No" 3157 | "PRV54947","No" 3158 | "PRV54949","No" 3159 | "PRV54950","Yes" 3160 | "PRV54952","Yes" 3161 | "PRV54953","No" 3162 | "PRV54954","No" 3163 | "PRV54955","Yes" 3164 | "PRV54959","No" 3165 | "PRV54960","No" 3166 | "PRV54963","No" 3167 | "PRV54965","No" 3168 | "PRV54966","Yes" 3169 | "PRV54967","No" 3170 | "PRV54968","No" 3171 | "PRV54970","No" 3172 | "PRV54971","No" 3173 | "PRV54972","No" 3174 | "PRV54973","No" 3175 | "PRV54975","No" 3176 | "PRV54976","No" 3177 | "PRV54977","No" 3178 | "PRV54978","No" 3179 | "PRV54981","No" 3180 | "PRV54982","No" 3181 | "PRV54983","No" 3182 | "PRV54985","No" 3183 | "PRV54986","Yes" 3184 | "PRV54988","No" 3185 | "PRV54990","No" 3186 | "PRV54991","No" 3187 | "PRV54992","No" 3188 | "PRV54993","No" 3189 | "PRV54995","No" 3190 | "PRV54997","No" 3191 | "PRV54998","Yes" 3192 | "PRV54999","No" 3193 | "PRV55000","No" 3194 | "PRV55001","No" 3195 | "PRV55002","No" 3196 | "PRV55003","No" 3197 | "PRV55004","Yes" 3198 | "PRV55005","No" 3199 | "PRV55006","No" 3200 | "PRV55007","No" 3201 | "PRV55010","Yes" 3202 | "PRV55011","No" 3203 | "PRV55012","No" 3204 | "PRV55013","No" 3205 | "PRV55016","No" 3206 | "PRV55018","Yes" 3207 | "PRV55019","Yes" 3208 | "PRV55022","Yes" 3209 | "PRV55023","No" 3210 | "PRV55024","No" 3211 | "PRV55026","No" 3212 | "PRV55027","Yes" 3213 | "PRV55028","No" 3214 | "PRV55029","No" 3215 | "PRV55030","Yes" 3216 | "PRV55031","No" 3217 | "PRV55032","No" 3218 | "PRV55034","Yes" 3219 | "PRV55035","No" 3220 | "PRV55036","No" 3221 | "PRV55037","No" 3222 | "PRV55038","No" 3223 | "PRV55039","Yes" 3224 | "PRV55040","No" 3225 | "PRV55041","No" 3226 | "PRV55042","No" 3227 | "PRV55043","No" 3228 | "PRV55044","No" 3229 | "PRV55045","No" 3230 | "PRV55048","Yes" 3231 | "PRV55049","Yes" 3232 | "PRV55050","No" 3233 | "PRV55051","No" 3234 | "PRV55052","No" 3235 | "PRV55053","No" 3236 | "PRV55054","No" 3237 | "PRV55056","No" 3238 | "PRV55057","Yes" 3239 | "PRV55058","No" 3240 | "PRV55059","No" 3241 | "PRV55061","No" 3242 | "PRV55062","No" 3243 | "PRV55063","No" 3244 | "PRV55064","No" 3245 | "PRV55067","No" 3246 | "PRV55068","No" 3247 | "PRV55069","No" 3248 | "PRV55070","No" 3249 | "PRV55071","No" 3250 | "PRV55072","No" 3251 | "PRV55073","No" 3252 | "PRV55074","No" 3253 | "PRV55076","No" 3254 | "PRV55077","No" 3255 | "PRV55078","No" 3256 | "PRV55079","No" 3257 | "PRV55080","No" 3258 | "PRV55081","No" 3259 | "PRV55083","No" 3260 | "PRV55085","No" 3261 | "PRV55086","No" 3262 | "PRV55087","No" 3263 | "PRV55088","No" 3264 | "PRV55089","No" 3265 | "PRV55091","No" 3266 | "PRV55092","No" 3267 | "PRV55093","No" 3268 | "PRV55094","No" 3269 | "PRV55095","No" 3270 | "PRV55096","No" 3271 | "PRV55097","No" 3272 | "PRV55098","No" 3273 | "PRV55099","No" 3274 | "PRV55103","No" 3275 | "PRV55104","No" 3276 | "PRV55106","No" 3277 | "PRV55108","No" 3278 | "PRV55110","No" 3279 | "PRV55111","No" 3280 | "PRV55112","No" 3281 | "PRV55114","No" 3282 | "PRV55116","No" 3283 | "PRV55117","No" 3284 | "PRV55118","No" 3285 | "PRV55120","No" 3286 | "PRV55121","No" 3287 | "PRV55122","No" 3288 | "PRV55123","No" 3289 | "PRV55124","No" 3290 | "PRV55126","No" 3291 | "PRV55128","No" 3292 | "PRV55129","No" 3293 | "PRV55130","No" 3294 | "PRV55131","No" 3295 | "PRV55132","No" 3296 | "PRV55133","No" 3297 | "PRV55134","No" 3298 | "PRV55135","No" 3299 | "PRV55136","No" 3300 | "PRV55137","No" 3301 | "PRV55138","No" 3302 | "PRV55140","No" 3303 | "PRV55141","No" 3304 | "PRV55143","No" 3305 | "PRV55144","No" 3306 | "PRV55145","No" 3307 | "PRV55146","No" 3308 | "PRV55147","Yes" 3309 | "PRV55148","No" 3310 | "PRV55149","No" 3311 | "PRV55150","No" 3312 | "PRV55151","No" 3313 | "PRV55152","No" 3314 | "PRV55154","No" 3315 | "PRV55155","No" 3316 | "PRV55156","No" 3317 | "PRV55157","No" 3318 | "PRV55158","No" 3319 | "PRV55160","No" 3320 | "PRV55161","No" 3321 | "PRV55163","Yes" 3322 | "PRV55164","No" 3323 | "PRV55165","Yes" 3324 | "PRV55166","No" 3325 | "PRV55167","No" 3326 | "PRV55168","No" 3327 | "PRV55169","No" 3328 | "PRV55171","Yes" 3329 | "PRV55172","Yes" 3330 | "PRV55173","No" 3331 | "PRV55175","No" 3332 | "PRV55176","No" 3333 | "PRV55177","No" 3334 | "PRV55178","No" 3335 | "PRV55179","No" 3336 | "PRV55180","No" 3337 | "PRV55181","No" 3338 | "PRV55182","No" 3339 | "PRV55183","No" 3340 | "PRV55184","No" 3341 | "PRV55185","No" 3342 | "PRV55187","No" 3343 | "PRV55188","No" 3344 | "PRV55189","No" 3345 | "PRV55191","No" 3346 | "PRV55192","No" 3347 | "PRV55193","Yes" 3348 | "PRV55194","Yes" 3349 | "PRV55195","Yes" 3350 | "PRV55196","No" 3351 | "PRV55197","No" 3352 | "PRV55198","No" 3353 | "PRV55200","No" 3354 | "PRV55202","No" 3355 | "PRV55203","No" 3356 | "PRV55205","No" 3357 | "PRV55206","No" 3358 | "PRV55207","No" 3359 | "PRV55208","No" 3360 | "PRV55209","Yes" 3361 | "PRV55210","No" 3362 | "PRV55211","No" 3363 | "PRV55213","No" 3364 | "PRV55214","No" 3365 | "PRV55215","Yes" 3366 | "PRV55216","No" 3367 | "PRV55218","No" 3368 | "PRV55219","No" 3369 | "PRV55220","No" 3370 | "PRV55224","No" 3371 | "PRV55225","Yes" 3372 | "PRV55226","No" 3373 | "PRV55227","No" 3374 | "PRV55229","No" 3375 | "PRV55230","Yes" 3376 | "PRV55231","No" 3377 | "PRV55232","No" 3378 | "PRV55233","No" 3379 | "PRV55234","No" 3380 | "PRV55235","No" 3381 | "PRV55236","No" 3382 | "PRV55237","No" 3383 | "PRV55238","No" 3384 | "PRV55239","No" 3385 | "PRV55240","No" 3386 | "PRV55242","No" 3387 | "PRV55243","No" 3388 | "PRV55244","No" 3389 | "PRV55246","No" 3390 | "PRV55247","No" 3391 | "PRV55248","No" 3392 | "PRV55250","Yes" 3393 | "PRV55252","No" 3394 | "PRV55254","No" 3395 | "PRV55255","No" 3396 | "PRV55256","No" 3397 | "PRV55257","No" 3398 | "PRV55258","No" 3399 | "PRV55259","No" 3400 | "PRV55260","No" 3401 | "PRV55261","No" 3402 | "PRV55262","No" 3403 | "PRV55263","No" 3404 | "PRV55264","No" 3405 | "PRV55265","No" 3406 | "PRV55266","Yes" 3407 | "PRV55267","No" 3408 | "PRV55268","No" 3409 | "PRV55269","No" 3410 | "PRV55270","No" 3411 | "PRV55271","No" 3412 | "PRV55272","No" 3413 | "PRV55273","No" 3414 | "PRV55274","No" 3415 | "PRV55275","No" 3416 | "PRV55276","No" 3417 | "PRV55277","No" 3418 | "PRV55278","No" 3419 | "PRV55279","No" 3420 | "PRV55281","No" 3421 | "PRV55283","No" 3422 | "PRV55285","No" 3423 | "PRV55286","No" 3424 | "PRV55289","No" 3425 | "PRV55291","No" 3426 | "PRV55292","No" 3427 | "PRV55293","No" 3428 | "PRV55295","No" 3429 | "PRV55296","No" 3430 | "PRV55297","No" 3431 | "PRV55298","No" 3432 | "PRV55299","No" 3433 | "PRV55300","No" 3434 | "PRV55302","No" 3435 | "PRV55304","No" 3436 | "PRV55305","No" 3437 | "PRV55306","No" 3438 | "PRV55307","No" 3439 | "PRV55309","No" 3440 | "PRV55312","No" 3441 | "PRV55313","No" 3442 | "PRV55314","No" 3443 | "PRV55316","No" 3444 | "PRV55318","No" 3445 | "PRV55319","No" 3446 | "PRV55320","No" 3447 | "PRV55322","No" 3448 | "PRV55323","No" 3449 | "PRV55324","No" 3450 | "PRV55325","No" 3451 | "PRV55326","No" 3452 | "PRV55329","No" 3453 | "PRV55330","No" 3454 | "PRV55331","No" 3455 | "PRV55333","No" 3456 | "PRV55335","No" 3457 | "PRV55337","No" 3458 | "PRV55338","No" 3459 | "PRV55339","No" 3460 | "PRV55340","No" 3461 | "PRV55341","No" 3462 | "PRV55342","No" 3463 | "PRV55343","No" 3464 | "PRV55344","No" 3465 | "PRV55345","No" 3466 | "PRV55348","No" 3467 | "PRV55350","No" 3468 | "PRV55351","No" 3469 | "PRV55352","No" 3470 | "PRV55353","No" 3471 | "PRV55354","No" 3472 | "PRV55355","No" 3473 | "PRV55356","No" 3474 | "PRV55357","No" 3475 | "PRV55358","No" 3476 | "PRV55359","No" 3477 | "PRV55360","No" 3478 | "PRV55361","No" 3479 | "PRV55362","No" 3480 | "PRV55363","No" 3481 | "PRV55364","No" 3482 | "PRV55365","No" 3483 | "PRV55366","No" 3484 | "PRV55368","No" 3485 | "PRV55371","No" 3486 | "PRV55372","No" 3487 | "PRV55374","Yes" 3488 | "PRV55375","Yes" 3489 | "PRV55376","No" 3490 | "PRV55377","No" 3491 | "PRV55378","No" 3492 | "PRV55379","No" 3493 | "PRV55381","No" 3494 | "PRV55382","No" 3495 | "PRV55383","No" 3496 | "PRV55384","No" 3497 | "PRV55385","No" 3498 | "PRV55386","No" 3499 | "PRV55387","No" 3500 | "PRV55388","No" 3501 | "PRV55390","No" 3502 | "PRV55392","No" 3503 | "PRV55395","No" 3504 | "PRV55396","No" 3505 | "PRV55397","No" 3506 | "PRV55398","No" 3507 | "PRV55399","No" 3508 | "PRV55400","No" 3509 | "PRV55401","No" 3510 | "PRV55402","No" 3511 | "PRV55404","No" 3512 | "PRV55405","No" 3513 | "PRV55408","No" 3514 | "PRV55409","No" 3515 | "PRV55410","No" 3516 | "PRV55411","No" 3517 | "PRV55412","No" 3518 | "PRV55413","No" 3519 | "PRV55414","No" 3520 | "PRV55416","No" 3521 | "PRV55417","No" 3522 | "PRV55418","No" 3523 | "PRV55419","No" 3524 | "PRV55423","No" 3525 | "PRV55424","No" 3526 | "PRV55425","No" 3527 | "PRV55426","No" 3528 | "PRV55427","No" 3529 | "PRV55428","No" 3530 | "PRV55430","Yes" 3531 | "PRV55431","No" 3532 | "PRV55432","No" 3533 | "PRV55433","Yes" 3534 | "PRV55434","No" 3535 | "PRV55435","Yes" 3536 | "PRV55436","No" 3537 | "PRV55437","Yes" 3538 | "PRV55438","No" 3539 | "PRV55439","No" 3540 | "PRV55441","No" 3541 | "PRV55442","No" 3542 | "PRV55443","No" 3543 | "PRV55444","Yes" 3544 | "PRV55445","No" 3545 | "PRV55446","No" 3546 | "PRV55447","No" 3547 | "PRV55448","No" 3548 | "PRV55449","No" 3549 | "PRV55450","No" 3550 | "PRV55451","No" 3551 | "PRV55452","No" 3552 | "PRV55453","Yes" 3553 | "PRV55454","No" 3554 | "PRV55455","No" 3555 | "PRV55456","No" 3556 | "PRV55458","No" 3557 | "PRV55459","No" 3558 | "PRV55460","No" 3559 | "PRV55462","Yes" 3560 | "PRV55463","No" 3561 | "PRV55464","No" 3562 | "PRV55465","No" 3563 | "PRV55467","Yes" 3564 | "PRV55468","No" 3565 | "PRV55469","No" 3566 | "PRV55470","No" 3567 | "PRV55471","No" 3568 | "PRV55472","Yes" 3569 | "PRV55473","No" 3570 | "PRV55474","No" 3571 | "PRV55475","No" 3572 | "PRV55477","No" 3573 | "PRV55479","No" 3574 | "PRV55480","No" 3575 | "PRV55481","No" 3576 | "PRV55482","Yes" 3577 | "PRV55483","Yes" 3578 | "PRV55486","No" 3579 | "PRV55487","No" 3580 | "PRV55489","No" 3581 | "PRV55490","No" 3582 | "PRV55491","No" 3583 | "PRV55492","Yes" 3584 | "PRV55493","No" 3585 | "PRV55494","No" 3586 | "PRV55495","Yes" 3587 | "PRV55496","Yes" 3588 | "PRV55497","No" 3589 | "PRV55498","No" 3590 | "PRV55499","No" 3591 | "PRV55500","No" 3592 | "PRV55501","No" 3593 | "PRV55503","No" 3594 | "PRV55505","No" 3595 | "PRV55506","Yes" 3596 | "PRV55507","No" 3597 | "PRV55508","No" 3598 | "PRV55509","Yes" 3599 | "PRV55510","No" 3600 | "PRV55511","No" 3601 | "PRV55512","No" 3602 | "PRV55513","No" 3603 | "PRV55514","Yes" 3604 | "PRV55515","No" 3605 | "PRV55516","No" 3606 | "PRV55518","No" 3607 | "PRV55519","Yes" 3608 | "PRV55520","No" 3609 | "PRV55521","No" 3610 | "PRV55522","No" 3611 | "PRV55523","No" 3612 | "PRV55525","No" 3613 | "PRV55527","No" 3614 | "PRV55528","No" 3615 | "PRV55530","No" 3616 | "PRV55531","Yes" 3617 | "PRV55534","No" 3618 | "PRV55535","No" 3619 | "PRV55536","No" 3620 | "PRV55537","No" 3621 | "PRV55538","No" 3622 | "PRV55539","No" 3623 | "PRV55540","No" 3624 | "PRV55541","No" 3625 | "PRV55543","No" 3626 | "PRV55547","No" 3627 | "PRV55548","No" 3628 | "PRV55549","No" 3629 | "PRV55550","Yes" 3630 | "PRV55551","No" 3631 | "PRV55552","No" 3632 | "PRV55554","No" 3633 | "PRV55555","No" 3634 | "PRV55556","No" 3635 | "PRV55557","No" 3636 | "PRV55558","No" 3637 | "PRV55560","No" 3638 | "PRV55561","No" 3639 | "PRV55562","No" 3640 | "PRV55563","No" 3641 | "PRV55564","No" 3642 | "PRV55565","No" 3643 | "PRV55566","No" 3644 | "PRV55567","No" 3645 | "PRV55569","No" 3646 | "PRV55570","No" 3647 | "PRV55571","No" 3648 | "PRV55572","No" 3649 | "PRV55573","No" 3650 | "PRV55574","No" 3651 | "PRV55575","No" 3652 | "PRV55576","No" 3653 | "PRV55577","No" 3654 | "PRV55578","No" 3655 | "PRV55579","No" 3656 | "PRV55580","No" 3657 | "PRV55581","No" 3658 | "PRV55582","No" 3659 | "PRV55583","No" 3660 | "PRV55584","No" 3661 | "PRV55585","No" 3662 | "PRV55586","No" 3663 | "PRV55587","No" 3664 | "PRV55588","No" 3665 | "PRV55589","No" 3666 | "PRV55590","No" 3667 | "PRV55591","No" 3668 | "PRV55592","No" 3669 | "PRV55593","No" 3670 | "PRV55595","No" 3671 | "PRV55596","No" 3672 | "PRV55598","No" 3673 | "PRV55599","No" 3674 | "PRV55600","No" 3675 | "PRV55601","No" 3676 | "PRV55602","No" 3677 | "PRV55603","No" 3678 | "PRV55604","No" 3679 | "PRV55606","No" 3680 | "PRV55607","No" 3681 | "PRV55608","No" 3682 | "PRV55609","No" 3683 | "PRV55610","No" 3684 | "PRV55612","No" 3685 | "PRV55613","No" 3686 | "PRV55614","No" 3687 | "PRV55615","No" 3688 | "PRV55617","No" 3689 | "PRV55618","No" 3690 | "PRV55619","No" 3691 | "PRV55620","No" 3692 | "PRV55621","No" 3693 | "PRV55622","No" 3694 | "PRV55623","No" 3695 | "PRV55624","No" 3696 | "PRV55625","No" 3697 | "PRV55626","No" 3698 | "PRV55627","No" 3699 | "PRV55631","No" 3700 | "PRV55632","No" 3701 | "PRV55633","No" 3702 | "PRV55634","No" 3703 | "PRV55635","No" 3704 | "PRV55637","No" 3705 | "PRV55638","No" 3706 | "PRV55639","No" 3707 | "PRV55640","No" 3708 | "PRV55641","No" 3709 | "PRV55642","No" 3710 | "PRV55644","No" 3711 | "PRV55646","No" 3712 | "PRV55648","No" 3713 | "PRV55649","No" 3714 | "PRV55650","No" 3715 | "PRV55652","No" 3716 | "PRV55653","No" 3717 | "PRV55654","No" 3718 | "PRV55655","No" 3719 | "PRV55656","No" 3720 | "PRV55657","No" 3721 | "PRV55658","No" 3722 | "PRV55659","Yes" 3723 | "PRV55660","No" 3724 | "PRV55661","No" 3725 | "PRV55662","No" 3726 | "PRV55663","No" 3727 | "PRV55664","No" 3728 | "PRV55665","No" 3729 | "PRV55666","No" 3730 | "PRV55667","Yes" 3731 | "PRV55668","No" 3732 | "PRV55670","Yes" 3733 | "PRV55671","No" 3734 | "PRV55673","Yes" 3735 | "PRV55674","No" 3736 | "PRV55675","No" 3737 | "PRV55676","Yes" 3738 | "PRV55677","No" 3739 | "PRV55678","No" 3740 | "PRV55679","No" 3741 | "PRV55680","No" 3742 | "PRV55682","No" 3743 | "PRV55683","No" 3744 | "PRV55684","No" 3745 | "PRV55687","No" 3746 | "PRV55688","No" 3747 | "PRV55689","Yes" 3748 | "PRV55690","No" 3749 | "PRV55691","No" 3750 | "PRV55692","No" 3751 | "PRV55695","No" 3752 | "PRV55697","No" 3753 | "PRV55699","No" 3754 | "PRV55700","No" 3755 | "PRV55701","No" 3756 | "PRV55702","No" 3757 | "PRV55703","No" 3758 | "PRV55704","No" 3759 | "PRV55705","No" 3760 | "PRV55706","No" 3761 | "PRV55707","No" 3762 | "PRV55709","No" 3763 | "PRV55710","No" 3764 | "PRV55711","No" 3765 | "PRV55712","No" 3766 | "PRV55714","No" 3767 | "PRV55715","Yes" 3768 | "PRV55716","No" 3769 | "PRV55717","No" 3770 | "PRV55719","No" 3771 | "PRV55720","No" 3772 | "PRV55721","No" 3773 | "PRV55723","No" 3774 | "PRV55724","No" 3775 | "PRV55726","No" 3776 | "PRV55727","No" 3777 | "PRV55728","No" 3778 | "PRV55729","No" 3779 | "PRV55731","No" 3780 | "PRV55732","No" 3781 | "PRV55733","No" 3782 | "PRV55734","No" 3783 | "PRV55735","No" 3784 | "PRV55736","No" 3785 | "PRV55737","No" 3786 | "PRV55739","No" 3787 | "PRV55740","No" 3788 | "PRV55741","No" 3789 | "PRV55742","No" 3790 | "PRV55743","No" 3791 | "PRV55744","No" 3792 | "PRV55745","No" 3793 | "PRV55748","No" 3794 | "PRV55749","No" 3795 | "PRV55750","No" 3796 | "PRV55751","No" 3797 | "PRV55752","No" 3798 | "PRV55753","No" 3799 | "PRV55754","No" 3800 | "PRV55755","No" 3801 | "PRV55759","No" 3802 | "PRV55760","No" 3803 | "PRV55761","No" 3804 | "PRV55762","No" 3805 | "PRV55763","No" 3806 | "PRV55764","No" 3807 | "PRV55765","No" 3808 | "PRV55766","No" 3809 | "PRV55767","No" 3810 | "PRV55768","No" 3811 | "PRV55769","No" 3812 | "PRV55770","No" 3813 | "PRV55771","No" 3814 | "PRV55772","No" 3815 | "PRV55774","No" 3816 | "PRV55775","No" 3817 | "PRV55776","No" 3818 | "PRV55777","No" 3819 | "PRV55778","No" 3820 | "PRV55779","No" 3821 | "PRV55780","No" 3822 | "PRV55782","No" 3823 | "PRV55783","No" 3824 | "PRV55785","No" 3825 | "PRV55786","No" 3826 | "PRV55787","No" 3827 | "PRV55788","No" 3828 | "PRV55789","No" 3829 | "PRV55790","No" 3830 | "PRV55791","No" 3831 | "PRV55792","No" 3832 | "PRV55793","No" 3833 | "PRV55794","No" 3834 | "PRV55795","No" 3835 | "PRV55796","No" 3836 | "PRV55797","No" 3837 | "PRV55798","No" 3838 | "PRV55800","No" 3839 | "PRV55801","No" 3840 | "PRV55802","No" 3841 | "PRV55803","No" 3842 | "PRV55804","No" 3843 | "PRV55805","No" 3844 | "PRV55806","No" 3845 | "PRV55807","No" 3846 | "PRV55808","No" 3847 | "PRV55809","No" 3848 | "PRV55810","No" 3849 | "PRV55811","No" 3850 | "PRV55812","Yes" 3851 | "PRV55813","No" 3852 | "PRV55814","No" 3853 | "PRV55815","No" 3854 | "PRV55816","No" 3855 | "PRV55817","No" 3856 | "PRV55818","No" 3857 | "PRV55819","No" 3858 | "PRV55820","No" 3859 | "PRV55821","Yes" 3860 | "PRV55822","No" 3861 | "PRV55826","No" 3862 | "PRV55828","No" 3863 | "PRV55830","No" 3864 | "PRV55831","No" 3865 | "PRV55832","No" 3866 | "PRV55833","No" 3867 | "PRV55834","No" 3868 | "PRV55835","Yes" 3869 | "PRV55836","No" 3870 | "PRV55837","No" 3871 | "PRV55839","No" 3872 | "PRV55842","Yes" 3873 | "PRV55843","No" 3874 | "PRV55846","No" 3875 | "PRV55847","No" 3876 | "PRV55848","No" 3877 | "PRV55849","Yes" 3878 | "PRV55850","No" 3879 | "PRV55851","No" 3880 | "PRV55852","Yes" 3881 | "PRV55854","No" 3882 | "PRV55855","No" 3883 | "PRV55856","No" 3884 | "PRV55858","No" 3885 | "PRV55859","No" 3886 | "PRV55862","No" 3887 | "PRV55863","No" 3888 | "PRV55864","No" 3889 | "PRV55865","No" 3890 | "PRV55866","No" 3891 | "PRV55867","No" 3892 | "PRV55868","No" 3893 | "PRV55869","No" 3894 | "PRV55870","No" 3895 | "PRV55871","No" 3896 | "PRV55872","No" 3897 | "PRV55873","No" 3898 | "PRV55874","No" 3899 | "PRV55875","No" 3900 | "PRV55876","No" 3901 | "PRV55877","No" 3902 | "PRV55879","No" 3903 | "PRV55880","No" 3904 | "PRV55881","No" 3905 | "PRV55882","No" 3906 | "PRV55883","No" 3907 | "PRV55884","No" 3908 | "PRV55885","No" 3909 | "PRV55886","No" 3910 | "PRV55887","No" 3911 | "PRV55891","No" 3912 | "PRV55892","No" 3913 | "PRV55893","Yes" 3914 | "PRV55895","Yes" 3915 | "PRV55896","Yes" 3916 | "PRV55897","Yes" 3917 | "PRV55898","No" 3918 | "PRV55900","No" 3919 | "PRV55901","No" 3920 | "PRV55902","No" 3921 | "PRV55903","No" 3922 | "PRV55904","No" 3923 | "PRV55905","Yes" 3924 | "PRV55906","No" 3925 | "PRV55907","No" 3926 | "PRV55908","No" 3927 | "PRV55909","No" 3928 | "PRV55910","No" 3929 | "PRV55911","Yes" 3930 | "PRV55912","Yes" 3931 | "PRV55913","Yes" 3932 | "PRV55914","Yes" 3933 | "PRV55915","No" 3934 | "PRV55916","No" 3935 | "PRV55917","No" 3936 | "PRV55918","No" 3937 | "PRV55919","No" 3938 | "PRV55920","No" 3939 | "PRV55921","No" 3940 | "PRV55925","No" 3941 | "PRV55926","No" 3942 | "PRV55927","No" 3943 | "PRV55928","No" 3944 | "PRV55929","No" 3945 | "PRV55930","No" 3946 | "PRV55931","No" 3947 | "PRV55933","No" 3948 | "PRV55934","Yes" 3949 | "PRV55935","No" 3950 | "PRV55936","No" 3951 | "PRV55937","No" 3952 | "PRV55938","No" 3953 | "PRV55939","No" 3954 | "PRV55940","No" 3955 | "PRV55941","No" 3956 | "PRV55942","No" 3957 | "PRV55943","No" 3958 | "PRV55944","No" 3959 | "PRV55945","No" 3960 | "PRV55946","No" 3961 | "PRV55948","No" 3962 | "PRV55950","No" 3963 | "PRV55951","Yes" 3964 | "PRV55953","No" 3965 | "PRV55955","No" 3966 | "PRV55956","No" 3967 | "PRV55957","Yes" 3968 | "PRV55958","No" 3969 | "PRV55959","Yes" 3970 | "PRV55963","No" 3971 | "PRV55964","No" 3972 | "PRV55965","No" 3973 | "PRV55966","No" 3974 | "PRV55968","No" 3975 | "PRV55969","No" 3976 | "PRV55970","No" 3977 | "PRV55971","Yes" 3978 | "PRV55972","No" 3979 | "PRV55974","No" 3980 | "PRV55977","Yes" 3981 | "PRV55978","No" 3982 | "PRV55980","No" 3983 | "PRV55981","No" 3984 | "PRV55982","No" 3985 | "PRV55983","No" 3986 | "PRV55984","No" 3987 | "PRV55985","No" 3988 | "PRV55986","No" 3989 | "PRV55989","No" 3990 | "PRV55990","No" 3991 | "PRV55991","No" 3992 | "PRV55993","No" 3993 | "PRV55995","No" 3994 | "PRV55996","Yes" 3995 | "PRV55997","No" 3996 | "PRV55999","No" 3997 | "PRV56001","No" 3998 | "PRV56002","No" 3999 | "PRV56003","No" 4000 | "PRV56004","No" 4001 | "PRV56005","No" 4002 | "PRV56006","No" 4003 | "PRV56007","Yes" 4004 | "PRV56008","Yes" 4005 | "PRV56010","No" 4006 | "PRV56011","Yes" 4007 | "PRV56012","Yes" 4008 | "PRV56013","No" 4009 | "PRV56014","No" 4010 | "PRV56015","No" 4011 | "PRV56016","No" 4012 | "PRV56017","No" 4013 | "PRV56018","No" 4014 | "PRV56019","No" 4015 | "PRV56020","No" 4016 | "PRV56021","No" 4017 | "PRV56023","Yes" 4018 | "PRV56025","No" 4019 | "PRV56026","No" 4020 | "PRV56027","No" 4021 | "PRV56028","No" 4022 | "PRV56029","No" 4023 | "PRV56030","No" 4024 | "PRV56031","No" 4025 | "PRV56032","No" 4026 | "PRV56033","No" 4027 | "PRV56034","No" 4028 | "PRV56036","No" 4029 | "PRV56037","No" 4030 | "PRV56038","No" 4031 | "PRV56039","No" 4032 | "PRV56040","No" 4033 | "PRV56041","No" 4034 | "PRV56044","No" 4035 | "PRV56045","No" 4036 | "PRV56046","No" 4037 | "PRV56047","No" 4038 | "PRV56048","No" 4039 | "PRV56049","No" 4040 | "PRV56050","No" 4041 | "PRV56051","No" 4042 | "PRV56052","No" 4043 | "PRV56054","No" 4044 | "PRV56055","No" 4045 | "PRV56056","No" 4046 | "PRV56057","No" 4047 | "PRV56058","No" 4048 | "PRV56060","No" 4049 | "PRV56062","No" 4050 | "PRV56063","No" 4051 | "PRV56065","No" 4052 | "PRV56066","No" 4053 | "PRV56067","No" 4054 | "PRV56068","No" 4055 | "PRV56071","No" 4056 | "PRV56072","No" 4057 | "PRV56073","No" 4058 | "PRV56075","No" 4059 | "PRV56076","No" 4060 | "PRV56077","No" 4061 | "PRV56078","No" 4062 | "PRV56080","No" 4063 | "PRV56083","No" 4064 | "PRV56084","No" 4065 | "PRV56086","No" 4066 | "PRV56087","No" 4067 | "PRV56088","No" 4068 | "PRV56089","No" 4069 | "PRV56090","No" 4070 | "PRV56091","No" 4071 | "PRV56092","No" 4072 | "PRV56093","No" 4073 | "PRV56094","No" 4074 | "PRV56095","No" 4075 | "PRV56098","No" 4076 | "PRV56099","No" 4077 | "PRV56101","No" 4078 | "PRV56102","No" 4079 | "PRV56103","Yes" 4080 | "PRV56104","Yes" 4081 | "PRV56105","No" 4082 | "PRV56106","No" 4083 | "PRV56108","No" 4084 | "PRV56109","No" 4085 | "PRV56111","No" 4086 | "PRV56113","No" 4087 | "PRV56114","No" 4088 | "PRV56115","No" 4089 | "PRV56116","No" 4090 | "PRV56117","No" 4091 | "PRV56118","No" 4092 | "PRV56119","No" 4093 | "PRV56120","No" 4094 | "PRV56121","No" 4095 | "PRV56122","No" 4096 | "PRV56123","No" 4097 | "PRV56124","No" 4098 | "PRV56125","No" 4099 | "PRV56126","No" 4100 | "PRV56129","No" 4101 | "PRV56130","No" 4102 | "PRV56131","No" 4103 | "PRV56133","No" 4104 | "PRV56134","Yes" 4105 | "PRV56135","No" 4106 | "PRV56136","No" 4107 | "PRV56137","No" 4108 | "PRV56138","No" 4109 | "PRV56139","No" 4110 | "PRV56140","No" 4111 | "PRV56141","No" 4112 | "PRV56142","No" 4113 | "PRV56143","No" 4114 | "PRV56145","No" 4115 | "PRV56146","No" 4116 | "PRV56147","No" 4117 | "PRV56148","No" 4118 | "PRV56149","No" 4119 | "PRV56151","No" 4120 | "PRV56152","No" 4121 | "PRV56153","No" 4122 | "PRV56154","No" 4123 | "PRV56156","No" 4124 | "PRV56157","No" 4125 | "PRV56158","No" 4126 | "PRV56159","No" 4127 | "PRV56161","Yes" 4128 | "PRV56163","No" 4129 | "PRV56164","No" 4130 | "PRV56165","No" 4131 | "PRV56166","No" 4132 | "PRV56168","No" 4133 | "PRV56169","No" 4134 | "PRV56170","No" 4135 | "PRV56171","No" 4136 | "PRV56172","No" 4137 | "PRV56173","No" 4138 | "PRV56174","No" 4139 | "PRV56176","No" 4140 | "PRV56177","No" 4141 | "PRV56179","No" 4142 | "PRV56181","No" 4143 | "PRV56182","No" 4144 | "PRV56183","No" 4145 | "PRV56184","No" 4146 | "PRV56185","No" 4147 | "PRV56186","No" 4148 | "PRV56187","No" 4149 | "PRV56189","No" 4150 | "PRV56190","No" 4151 | "PRV56191","No" 4152 | "PRV56193","No" 4153 | "PRV56194","No" 4154 | "PRV56196","No" 4155 | "PRV56198","No" 4156 | "PRV56199","No" 4157 | "PRV56200","No" 4158 | "PRV56201","No" 4159 | "PRV56202","No" 4160 | "PRV56206","No" 4161 | "PRV56207","No" 4162 | "PRV56208","No" 4163 | "PRV56209","No" 4164 | "PRV56210","No" 4165 | "PRV56211","No" 4166 | "PRV56212","No" 4167 | "PRV56213","No" 4168 | "PRV56214","No" 4169 | "PRV56216","No" 4170 | "PRV56217","No" 4171 | "PRV56218","No" 4172 | "PRV56219","No" 4173 | "PRV56220","No" 4174 | "PRV56221","No" 4175 | "PRV56222","No" 4176 | "PRV56224","No" 4177 | "PRV56225","Yes" 4178 | "PRV56227","No" 4179 | "PRV56228","No" 4180 | "PRV56229","No" 4181 | "PRV56231","Yes" 4182 | "PRV56232","No" 4183 | "PRV56233","No" 4184 | "PRV56234","No" 4185 | "PRV56235","No" 4186 | "PRV56236","No" 4187 | "PRV56237","No" 4188 | "PRV56238","No" 4189 | "PRV56239","No" 4190 | "PRV56241","No" 4191 | "PRV56242","No" 4192 | "PRV56243","No" 4193 | "PRV56245","No" 4194 | "PRV56247","No" 4195 | "PRV56248","No" 4196 | "PRV56249","Yes" 4197 | "PRV56251","No" 4198 | "PRV56252","No" 4199 | "PRV56253","Yes" 4200 | "PRV56255","No" 4201 | "PRV56256","No" 4202 | "PRV56257","Yes" 4203 | "PRV56258","No" 4204 | "PRV56259","Yes" 4205 | "PRV56260","No" 4206 | "PRV56261","No" 4207 | "PRV56262","No" 4208 | "PRV56263","No" 4209 | "PRV56264","No" 4210 | "PRV56265","No" 4211 | "PRV56266","No" 4212 | "PRV56267","No" 4213 | "PRV56268","Yes" 4214 | "PRV56269","No" 4215 | "PRV56270","No" 4216 | "PRV56271","No" 4217 | "PRV56272","No" 4218 | "PRV56274","No" 4219 | "PRV56275","No" 4220 | "PRV56276","No" 4221 | "PRV56277","No" 4222 | "PRV56278","No" 4223 | "PRV56279","No" 4224 | "PRV56280","No" 4225 | "PRV56281","No" 4226 | "PRV56282","No" 4227 | "PRV56283","No" 4228 | "PRV56284","No" 4229 | "PRV56285","No" 4230 | "PRV56286","No" 4231 | "PRV56287","No" 4232 | "PRV56288","No" 4233 | "PRV56289","No" 4234 | "PRV56290","No" 4235 | "PRV56291","No" 4236 | "PRV56293","No" 4237 | "PRV56295","No" 4238 | "PRV56297","No" 4239 | "PRV56299","No" 4240 | "PRV56300","No" 4241 | "PRV56301","No" 4242 | "PRV56302","No" 4243 | "PRV56303","No" 4244 | "PRV56304","No" 4245 | "PRV56305","No" 4246 | "PRV56306","No" 4247 | "PRV56307","No" 4248 | "PRV56308","No" 4249 | "PRV56309","No" 4250 | "PRV56310","No" 4251 | "PRV56311","No" 4252 | "PRV56313","No" 4253 | "PRV56314","No" 4254 | "PRV56316","No" 4255 | "PRV56317","No" 4256 | "PRV56318","No" 4257 | "PRV56319","No" 4258 | "PRV56321","No" 4259 | "PRV56322","No" 4260 | "PRV56324","No" 4261 | "PRV56328","No" 4262 | "PRV56329","No" 4263 | "PRV56330","No" 4264 | "PRV56331","No" 4265 | "PRV56333","No" 4266 | "PRV56334","No" 4267 | "PRV56335","No" 4268 | "PRV56336","No" 4269 | "PRV56337","No" 4270 | "PRV56338","No" 4271 | "PRV56339","No" 4272 | "PRV56340","No" 4273 | "PRV56341","No" 4274 | "PRV56342","No" 4275 | "PRV56344","No" 4276 | "PRV56345","No" 4277 | "PRV56346","No" 4278 | "PRV56347","No" 4279 | "PRV56348","No" 4280 | "PRV56349","No" 4281 | "PRV56350","Yes" 4282 | "PRV56351","No" 4283 | "PRV56352","No" 4284 | "PRV56353","No" 4285 | "PRV56354","No" 4286 | "PRV56355","No" 4287 | "PRV56357","No" 4288 | "PRV56358","No" 4289 | "PRV56360","No" 4290 | "PRV56361","Yes" 4291 | "PRV56362","No" 4292 | "PRV56363","No" 4293 | "PRV56364","No" 4294 | "PRV56366","No" 4295 | "PRV56367","No" 4296 | "PRV56368","No" 4297 | "PRV56369","No" 4298 | "PRV56370","No" 4299 | "PRV56373","No" 4300 | "PRV56374","No" 4301 | "PRV56375","No" 4302 | "PRV56376","No" 4303 | "PRV56377","No" 4304 | "PRV56378","No" 4305 | "PRV56379","No" 4306 | "PRV56380","No" 4307 | "PRV56381","No" 4308 | "PRV56384","No" 4309 | "PRV56385","No" 4310 | "PRV56387","No" 4311 | "PRV56388","No" 4312 | "PRV56389","No" 4313 | "PRV56390","No" 4314 | "PRV56391","No" 4315 | "PRV56392","Yes" 4316 | "PRV56393","No" 4317 | "PRV56394","No" 4318 | "PRV56395","No" 4319 | "PRV56396","Yes" 4320 | "PRV56397","No" 4321 | "PRV56398","No" 4322 | "PRV56400","Yes" 4323 | "PRV56401","No" 4324 | "PRV56403","Yes" 4325 | "PRV56404","No" 4326 | "PRV56405","No" 4327 | "PRV56406","No" 4328 | "PRV56407","No" 4329 | "PRV56408","No" 4330 | "PRV56410","No" 4331 | "PRV56411","No" 4332 | "PRV56412","No" 4333 | "PRV56413","No" 4334 | "PRV56414","No" 4335 | "PRV56415","No" 4336 | "PRV56416","Yes" 4337 | "PRV56417","No" 4338 | "PRV56418","No" 4339 | "PRV56421","Yes" 4340 | "PRV56423","No" 4341 | "PRV56425","Yes" 4342 | "PRV56426","No" 4343 | "PRV56427","No" 4344 | "PRV56428","Yes" 4345 | "PRV56430","No" 4346 | "PRV56432","No" 4347 | "PRV56433","No" 4348 | "PRV56435","Yes" 4349 | "PRV56437","Yes" 4350 | "PRV56438","Yes" 4351 | "PRV56439","No" 4352 | "PRV56440","No" 4353 | "PRV56441","No" 4354 | "PRV56442","Yes" 4355 | "PRV56444","Yes" 4356 | "PRV56445","No" 4357 | "PRV56447","Yes" 4358 | "PRV56448","No" 4359 | "PRV56449","No" 4360 | "PRV56451","No" 4361 | "PRV56452","No" 4362 | "PRV56453","No" 4363 | "PRV56454","No" 4364 | "PRV56455","No" 4365 | "PRV56456","No" 4366 | "PRV56458","No" 4367 | "PRV56461","No" 4368 | "PRV56463","No" 4369 | "PRV56464","No" 4370 | "PRV56466","No" 4371 | "PRV56467","No" 4372 | "PRV56468","No" 4373 | "PRV56469","No" 4374 | "PRV56470","No" 4375 | "PRV56471","No" 4376 | "PRV56473","No" 4377 | "PRV56474","No" 4378 | "PRV56475","No" 4379 | "PRV56476","No" 4380 | "PRV56477","No" 4381 | "PRV56478","No" 4382 | "PRV56479","No" 4383 | "PRV56480","No" 4384 | "PRV56481","Yes" 4385 | "PRV56482","No" 4386 | "PRV56483","No" 4387 | "PRV56484","No" 4388 | "PRV56485","No" 4389 | "PRV56486","No" 4390 | "PRV56487","No" 4391 | "PRV56489","No" 4392 | "PRV56490","No" 4393 | "PRV56494","No" 4394 | "PRV56495","No" 4395 | "PRV56496","No" 4396 | "PRV56497","No" 4397 | "PRV56498","No" 4398 | "PRV56500","No" 4399 | "PRV56501","Yes" 4400 | "PRV56502","No" 4401 | "PRV56504","No" 4402 | "PRV56507","No" 4403 | "PRV56508","No" 4404 | "PRV56509","No" 4405 | "PRV56510","No" 4406 | "PRV56511","No" 4407 | "PRV56512","No" 4408 | "PRV56514","No" 4409 | "PRV56515","No" 4410 | "PRV56517","No" 4411 | "PRV56518","No" 4412 | "PRV56519","No" 4413 | "PRV56521","No" 4414 | "PRV56522","No" 4415 | "PRV56523","Yes" 4416 | "PRV56524","No" 4417 | "PRV56525","No" 4418 | "PRV56526","No" 4419 | "PRV56527","No" 4420 | "PRV56528","No" 4421 | "PRV56529","No" 4422 | "PRV56530","No" 4423 | "PRV56531","No" 4424 | "PRV56533","No" 4425 | "PRV56535","No" 4426 | "PRV56536","No" 4427 | "PRV56537","No" 4428 | "PRV56538","No" 4429 | "PRV56539","No" 4430 | "PRV56540","No" 4431 | "PRV56541","Yes" 4432 | "PRV56543","No" 4433 | "PRV56544","No" 4434 | "PRV56545","No" 4435 | "PRV56546","No" 4436 | "PRV56547","No" 4437 | "PRV56548","No" 4438 | "PRV56549","No" 4439 | "PRV56550","Yes" 4440 | "PRV56551","No" 4441 | "PRV56552","No" 4442 | "PRV56553","No" 4443 | "PRV56554","No" 4444 | "PRV56555","No" 4445 | "PRV56556","No" 4446 | "PRV56557","No" 4447 | "PRV56559","No" 4448 | "PRV56560","Yes" 4449 | "PRV56562","No" 4450 | "PRV56563","No" 4451 | "PRV56566","Yes" 4452 | "PRV56568","No" 4453 | "PRV56570","No" 4454 | "PRV56571","No" 4455 | "PRV56572","No" 4456 | "PRV56574","No" 4457 | "PRV56575","Yes" 4458 | "PRV56576","No" 4459 | "PRV56577","No" 4460 | "PRV56578","No" 4461 | "PRV56579","No" 4462 | "PRV56580","No" 4463 | "PRV56581","No" 4464 | "PRV56582","No" 4465 | "PRV56583","No" 4466 | "PRV56584","No" 4467 | "PRV56585","No" 4468 | "PRV56586","No" 4469 | "PRV56587","Yes" 4470 | "PRV56588","Yes" 4471 | "PRV56589","No" 4472 | "PRV56590","No" 4473 | "PRV56591","Yes" 4474 | "PRV56592","Yes" 4475 | "PRV56593","No" 4476 | "PRV56594","No" 4477 | "PRV56595","No" 4478 | "PRV56596","No" 4479 | "PRV56597","No" 4480 | "PRV56598","No" 4481 | "PRV56601","No" 4482 | "PRV56602","No" 4483 | "PRV56603","No" 4484 | "PRV56604","No" 4485 | "PRV56605","Yes" 4486 | "PRV56606","No" 4487 | "PRV56607","No" 4488 | "PRV56608","Yes" 4489 | "PRV56610","No" 4490 | "PRV56611","No" 4491 | "PRV56613","No" 4492 | "PRV56614","No" 4493 | "PRV56615","No" 4494 | "PRV56616","Yes" 4495 | "PRV56618","No" 4496 | "PRV56621","No" 4497 | "PRV56622","No" 4498 | "PRV56624","Yes" 4499 | "PRV56625","No" 4500 | "PRV56626","No" 4501 | "PRV56628","No" 4502 | "PRV56630","Yes" 4503 | "PRV56632","No" 4504 | "PRV56633","No" 4505 | "PRV56634","No" 4506 | "PRV56635","No" 4507 | "PRV56637","No" 4508 | "PRV56638","No" 4509 | "PRV56639","No" 4510 | "PRV56640","No" 4511 | "PRV56641","No" 4512 | "PRV56642","No" 4513 | "PRV56643","No" 4514 | "PRV56645","No" 4515 | "PRV56647","Yes" 4516 | "PRV56648","No" 4517 | "PRV56649","Yes" 4518 | "PRV56651","No" 4519 | "PRV56653","No" 4520 | "PRV56654","No" 4521 | "PRV56655","No" 4522 | "PRV56656","No" 4523 | "PRV56657","No" 4524 | "PRV56658","No" 4525 | "PRV56659","No" 4526 | "PRV56660","No" 4527 | "PRV56662","No" 4528 | "PRV56663","No" 4529 | "PRV56664","No" 4530 | "PRV56667","No" 4531 | "PRV56668","Yes" 4532 | "PRV56669","Yes" 4533 | "PRV56671","No" 4534 | "PRV56672","No" 4535 | "PRV56673","No" 4536 | "PRV56674","No" 4537 | "PRV56675","No" 4538 | "PRV56677","No" 4539 | "PRV56679","No" 4540 | "PRV56680","No" 4541 | "PRV56681","No" 4542 | "PRV56682","No" 4543 | "PRV56683","No" 4544 | "PRV56684","No" 4545 | "PRV56685","Yes" 4546 | "PRV56686","No" 4547 | "PRV56687","No" 4548 | "PRV56688","No" 4549 | "PRV56689","Yes" 4550 | "PRV56691","No" 4551 | "PRV56693","No" 4552 | "PRV56694","No" 4553 | "PRV56696","No" 4554 | "PRV56697","No" 4555 | "PRV56699","No" 4556 | "PRV56700","No" 4557 | "PRV56701","No" 4558 | "PRV56702","No" 4559 | "PRV56703","No" 4560 | "PRV56705","No" 4561 | "PRV56706","Yes" 4562 | "PRV56707","No" 4563 | "PRV56708","No" 4564 | "PRV56710","No" 4565 | "PRV56711","Yes" 4566 | "PRV56712","No" 4567 | "PRV56713","No" 4568 | "PRV56715","No" 4569 | "PRV56716","No" 4570 | "PRV56717","No" 4571 | "PRV56718","No" 4572 | "PRV56719","Yes" 4573 | "PRV56720","No" 4574 | "PRV56721","No" 4575 | "PRV56722","No" 4576 | "PRV56723","No" 4577 | "PRV56724","No" 4578 | "PRV56725","No" 4579 | "PRV56726","No" 4580 | "PRV56728","No" 4581 | "PRV56729","No" 4582 | "PRV56730","Yes" 4583 | "PRV56731","Yes" 4584 | "PRV56732","Yes" 4585 | "PRV56733","No" 4586 | "PRV56734","No" 4587 | "PRV56735","No" 4588 | "PRV56738","No" 4589 | "PRV56739","No" 4590 | "PRV56740","No" 4591 | "PRV56741","No" 4592 | "PRV56742","No" 4593 | "PRV56743","No" 4594 | "PRV56745","No" 4595 | "PRV56746","No" 4596 | "PRV56747","No" 4597 | "PRV56748","Yes" 4598 | "PRV56749","No" 4599 | "PRV56750","No" 4600 | "PRV56751","No" 4601 | "PRV56752","No" 4602 | "PRV56753","No" 4603 | "PRV56754","No" 4604 | "PRV56755","No" 4605 | "PRV56758","No" 4606 | "PRV56759","No" 4607 | "PRV56760","No" 4608 | "PRV56761","No" 4609 | "PRV56762","No" 4610 | "PRV56763","No" 4611 | "PRV56764","No" 4612 | "PRV56765","No" 4613 | "PRV56766","No" 4614 | "PRV56767","No" 4615 | "PRV56768","No" 4616 | "PRV56769","No" 4617 | "PRV56771","No" 4618 | "PRV56772","No" 4619 | "PRV56773","No" 4620 | "PRV56774","No" 4621 | "PRV56775","No" 4622 | "PRV56777","No" 4623 | "PRV56778","No" 4624 | "PRV56780","No" 4625 | "PRV56782","No" 4626 | "PRV56783","No" 4627 | "PRV56784","No" 4628 | "PRV56788","No" 4629 | "PRV56789","No" 4630 | "PRV56790","No" 4631 | "PRV56791","No" 4632 | "PRV56792","No" 4633 | "PRV56793","No" 4634 | "PRV56796","No" 4635 | "PRV56797","No" 4636 | "PRV56798","No" 4637 | "PRV56800","No" 4638 | "PRV56801","No" 4639 | "PRV56802","No" 4640 | "PRV56803","No" 4641 | "PRV56805","No" 4642 | "PRV56807","No" 4643 | "PRV56808","Yes" 4644 | "PRV56809","No" 4645 | "PRV56810","No" 4646 | "PRV56811","No" 4647 | "PRV56813","No" 4648 | "PRV56816","No" 4649 | "PRV56818","No" 4650 | "PRV56819","No" 4651 | "PRV56820","No" 4652 | "PRV56821","No" 4653 | "PRV56823","No" 4654 | "PRV56824","No" 4655 | "PRV56826","No" 4656 | "PRV56828","No" 4657 | "PRV56829","No" 4658 | "PRV56830","No" 4659 | "PRV56831","No" 4660 | "PRV56832","No" 4661 | "PRV56833","No" 4662 | "PRV56834","No" 4663 | "PRV56835","No" 4664 | "PRV56836","No" 4665 | "PRV56837","No" 4666 | "PRV56839","No" 4667 | "PRV56840","No" 4668 | "PRV56843","No" 4669 | "PRV56845","No" 4670 | "PRV56846","No" 4671 | "PRV56850","No" 4672 | "PRV56851","No" 4673 | "PRV56852","No" 4674 | "PRV56853","No" 4675 | "PRV56854","No" 4676 | "PRV56855","No" 4677 | "PRV56856","No" 4678 | "PRV56857","No" 4679 | "PRV56858","No" 4680 | "PRV56860","No" 4681 | "PRV56861","No" 4682 | "PRV56862","No" 4683 | "PRV56863","No" 4684 | "PRV56864","No" 4685 | "PRV56866","No" 4686 | "PRV56867","No" 4687 | "PRV56868","No" 4688 | "PRV56869","No" 4689 | "PRV56870","No" 4690 | "PRV56871","No" 4691 | "PRV56873","No" 4692 | "PRV56877","Yes" 4693 | "PRV56878","No" 4694 | "PRV56879","No" 4695 | "PRV56880","No" 4696 | "PRV56881","No" 4697 | "PRV56882","No" 4698 | "PRV56884","No" 4699 | "PRV56885","No" 4700 | "PRV56886","No" 4701 | "PRV56887","No" 4702 | "PRV56888","No" 4703 | "PRV56889","No" 4704 | "PRV56890","No" 4705 | "PRV56891","No" 4706 | "PRV56892","No" 4707 | "PRV56893","No" 4708 | "PRV56894","No" 4709 | "PRV56895","No" 4710 | "PRV56896","No" 4711 | "PRV56897","No" 4712 | "PRV56900","No" 4713 | "PRV56901","No" 4714 | "PRV56902","No" 4715 | "PRV56903","No" 4716 | "PRV56904","No" 4717 | "PRV56905","No" 4718 | "PRV56906","No" 4719 | "PRV56907","No" 4720 | "PRV56908","No" 4721 | "PRV56909","No" 4722 | "PRV56910","No" 4723 | "PRV56912","No" 4724 | "PRV56914","No" 4725 | "PRV56915","No" 4726 | "PRV56916","No" 4727 | "PRV56917","No" 4728 | "PRV56918","Yes" 4729 | "PRV56919","No" 4730 | "PRV56920","No" 4731 | "PRV56923","No" 4732 | "PRV56926","No" 4733 | "PRV56928","No" 4734 | "PRV56929","No" 4735 | "PRV56930","No" 4736 | "PRV56931","No" 4737 | "PRV56932","No" 4738 | "PRV56933","No" 4739 | "PRV56934","No" 4740 | "PRV56935","No" 4741 | "PRV56937","No" 4742 | "PRV56938","No" 4743 | "PRV56939","No" 4744 | "PRV56941","No" 4745 | "PRV56942","No" 4746 | "PRV56944","No" 4747 | "PRV56945","No" 4748 | "PRV56946","No" 4749 | "PRV56947","No" 4750 | "PRV56948","No" 4751 | "PRV56949","No" 4752 | "PRV56950","No" 4753 | "PRV56951","No" 4754 | "PRV56953","No" 4755 | "PRV56954","No" 4756 | "PRV56956","No" 4757 | "PRV56957","No" 4758 | "PRV56958","No" 4759 | "PRV56960","No" 4760 | "PRV56963","No" 4761 | "PRV56964","No" 4762 | "PRV56965","No" 4763 | "PRV56966","No" 4764 | "PRV56967","No" 4765 | "PRV56969","No" 4766 | "PRV56970","No" 4767 | "PRV56971","No" 4768 | "PRV56972","No" 4769 | "PRV56973","No" 4770 | "PRV56974","No" 4771 | "PRV56976","No" 4772 | "PRV56977","No" 4773 | "PRV56978","No" 4774 | "PRV56980","No" 4775 | "PRV56981","No" 4776 | "PRV56982","No" 4777 | "PRV56984","No" 4778 | "PRV56985","No" 4779 | "PRV56986","No" 4780 | "PRV56987","No" 4781 | "PRV56988","No" 4782 | "PRV56989","No" 4783 | "PRV56990","No" 4784 | "PRV56991","No" 4785 | "PRV56992","No" 4786 | "PRV56993","No" 4787 | "PRV56995","No" 4788 | "PRV56996","No" 4789 | "PRV56997","No" 4790 | "PRV56998","No" 4791 | "PRV56999","No" 4792 | "PRV57000","No" 4793 | "PRV57002","No" 4794 | "PRV57004","No" 4795 | "PRV57005","No" 4796 | "PRV57006","No" 4797 | "PRV57010","No" 4798 | "PRV57011","No" 4799 | "PRV57013","No" 4800 | "PRV57014","No" 4801 | "PRV57015","No" 4802 | "PRV57016","No" 4803 | "PRV57017","Yes" 4804 | "PRV57018","Yes" 4805 | "PRV57020","No" 4806 | "PRV57021","Yes" 4807 | "PRV57023","No" 4808 | "PRV57024","No" 4809 | "PRV57025","Yes" 4810 | "PRV57030","Yes" 4811 | "PRV57031","No" 4812 | "PRV57033","No" 4813 | "PRV57034","No" 4814 | "PRV57036","No" 4815 | "PRV57038","No" 4816 | "PRV57039","No" 4817 | "PRV57041","No" 4818 | "PRV57043","No" 4819 | "PRV57046","No" 4820 | "PRV57047","No" 4821 | "PRV57048","No" 4822 | "PRV57049","Yes" 4823 | "PRV57051","No" 4824 | "PRV57052","No" 4825 | "PRV57053","No" 4826 | "PRV57054","No" 4827 | "PRV57056","No" 4828 | "PRV57057","No" 4829 | "PRV57058","No" 4830 | "PRV57059","No" 4831 | "PRV57061","No" 4832 | "PRV57062","No" 4833 | "PRV57063","No" 4834 | "PRV57067","No" 4835 | "PRV57069","No" 4836 | "PRV57072","No" 4837 | "PRV57073","No" 4838 | "PRV57074","No" 4839 | "PRV57075","No" 4840 | "PRV57076","No" 4841 | "PRV57077","No" 4842 | "PRV57078","No" 4843 | "PRV57080","No" 4844 | "PRV57081","No" 4845 | "PRV57082","No" 4846 | "PRV57084","No" 4847 | "PRV57085","No" 4848 | "PRV57086","No" 4849 | "PRV57087","No" 4850 | "PRV57088","No" 4851 | "PRV57089","No" 4852 | "PRV57091","No" 4853 | "PRV57092","No" 4854 | "PRV57093","No" 4855 | "PRV57094","No" 4856 | "PRV57096","Yes" 4857 | "PRV57097","No" 4858 | "PRV57098","No" 4859 | "PRV57099","No" 4860 | "PRV57100","No" 4861 | "PRV57101","No" 4862 | "PRV57102","No" 4863 | "PRV57103","Yes" 4864 | "PRV57104","Yes" 4865 | "PRV57105","No" 4866 | "PRV57107","No" 4867 | "PRV57108","No" 4868 | "PRV57109","No" 4869 | "PRV57110","No" 4870 | "PRV57112","No" 4871 | "PRV57113","No" 4872 | "PRV57115","No" 4873 | "PRV57116","No" 4874 | "PRV57117","Yes" 4875 | "PRV57118","No" 4876 | "PRV57119","No" 4877 | "PRV57120","No" 4878 | "PRV57121","No" 4879 | "PRV57122","No" 4880 | "PRV57124","No" 4881 | "PRV57125","No" 4882 | "PRV57126","No" 4883 | "PRV57127","No" 4884 | "PRV57128","No" 4885 | "PRV57129","No" 4886 | "PRV57130","No" 4887 | "PRV57131","No" 4888 | "PRV57132","No" 4889 | "PRV57133","No" 4890 | "PRV57134","No" 4891 | "PRV57136","No" 4892 | "PRV57137","No" 4893 | "PRV57138","No" 4894 | "PRV57139","No" 4895 | "PRV57140","No" 4896 | "PRV57141","No" 4897 | "PRV57142","No" 4898 | "PRV57143","No" 4899 | "PRV57144","No" 4900 | "PRV57145","No" 4901 | "PRV57146","No" 4902 | "PRV57147","No" 4903 | "PRV57148","No" 4904 | "PRV57149","No" 4905 | "PRV57150","No" 4906 | "PRV57151","No" 4907 | "PRV57152","No" 4908 | "PRV57153","No" 4909 | "PRV57154","No" 4910 | "PRV57156","No" 4911 | "PRV57157","No" 4912 | "PRV57158","Yes" 4913 | "PRV57159","No" 4914 | "PRV57160","No" 4915 | "PRV57161","No" 4916 | "PRV57162","Yes" 4917 | "PRV57165","No" 4918 | "PRV57166","Yes" 4919 | "PRV57167","Yes" 4920 | "PRV57168","No" 4921 | "PRV57169","No" 4922 | "PRV57170","Yes" 4923 | "PRV57171","No" 4924 | "PRV57172","Yes" 4925 | "PRV57173","Yes" 4926 | "PRV57174","No" 4927 | "PRV57175","No" 4928 | "PRV57176","No" 4929 | "PRV57177","Yes" 4930 | "PRV57179","Yes" 4931 | "PRV57181","No" 4932 | "PRV57182","No" 4933 | "PRV57183","No" 4934 | "PRV57184","No" 4935 | "PRV57185","Yes" 4936 | "PRV57186","No" 4937 | "PRV57187","No" 4938 | "PRV57188","No" 4939 | "PRV57189","Yes" 4940 | "PRV57190","No" 4941 | "PRV57191","Yes" 4942 | "PRV57192","No" 4943 | "PRV57193","No" 4944 | "PRV57194","No" 4945 | "PRV57196","No" 4946 | "PRV57197","No" 4947 | "PRV57198","No" 4948 | "PRV57199","No" 4949 | "PRV57200","No" 4950 | "PRV57202","No" 4951 | "PRV57203","No" 4952 | "PRV57204","Yes" 4953 | "PRV57205","No" 4954 | "PRV57206","Yes" 4955 | "PRV57207","No" 4956 | "PRV57208","No" 4957 | "PRV57209","Yes" 4958 | "PRV57210","Yes" 4959 | "PRV57211","No" 4960 | "PRV57212","No" 4961 | "PRV57213","No" 4962 | "PRV57215","No" 4963 | "PRV57216","No" 4964 | "PRV57217","No" 4965 | "PRV57218","No" 4966 | "PRV57219","No" 4967 | "PRV57223","Yes" 4968 | "PRV57224","No" 4969 | "PRV57225","No" 4970 | "PRV57227","No" 4971 | "PRV57228","No" 4972 | "PRV57230","Yes" 4973 | "PRV57231","No" 4974 | "PRV57232","No" 4975 | "PRV57233","No" 4976 | "PRV57234","No" 4977 | "PRV57235","No" 4978 | "PRV57236","No" 4979 | "PRV57238","No" 4980 | "PRV57239","No" 4981 | "PRV57240","No" 4982 | "PRV57241","No" 4983 | "PRV57242","No" 4984 | "PRV57244","No" 4985 | "PRV57245","No" 4986 | "PRV57246","No" 4987 | "PRV57247","No" 4988 | "PRV57248","No" 4989 | "PRV57250","No" 4990 | "PRV57251","No" 4991 | "PRV57252","No" 4992 | "PRV57253","No" 4993 | "PRV57255","No" 4994 | "PRV57256","No" 4995 | "PRV57257","No" 4996 | "PRV57259","No" 4997 | "PRV57261","No" 4998 | "PRV57262","No" 4999 | "PRV57263","No" 5000 | "PRV57264","No" 5001 | "PRV57265","No" 5002 | "PRV57266","No" 5003 | "PRV57269","No" 5004 | "PRV57270","No" 5005 | "PRV57272","No" 5006 | "PRV57273","No" 5007 | "PRV57274","No" 5008 | "PRV57275","No" 5009 | "PRV57276","No" 5010 | "PRV57277","No" 5011 | "PRV57278","No" 5012 | "PRV57280","No" 5013 | "PRV57282","Yes" 5014 | "PRV57283","No" 5015 | "PRV57284","Yes" 5016 | "PRV57285","No" 5017 | "PRV57286","No" 5018 | "PRV57287","No" 5019 | "PRV57288","No" 5020 | "PRV57289","No" 5021 | "PRV57290","No" 5022 | "PRV57291","No" 5023 | "PRV57293","No" 5024 | "PRV57294","No" 5025 | "PRV57295","Yes" 5026 | "PRV57297","Yes" 5027 | "PRV57298","No" 5028 | "PRV57299","No" 5029 | "PRV57301","No" 5030 | "PRV57302","No" 5031 | "PRV57303","No" 5032 | "PRV57304","No" 5033 | "PRV57305","No" 5034 | "PRV57306","Yes" 5035 | "PRV57307","No" 5036 | "PRV57308","No" 5037 | "PRV57309","No" 5038 | "PRV57310","Yes" 5039 | "PRV57311","No" 5040 | "PRV57312","Yes" 5041 | "PRV57313","No" 5042 | "PRV57314","No" 5043 | "PRV57315","No" 5044 | "PRV57316","No" 5045 | "PRV57317","Yes" 5046 | "PRV57318","No" 5047 | "PRV57319","No" 5048 | "PRV57320","No" 5049 | "PRV57321","No" 5050 | "PRV57322","No" 5051 | "PRV57324","No" 5052 | "PRV57325","No" 5053 | "PRV57326","No" 5054 | "PRV57327","No" 5055 | "PRV57328","No" 5056 | "PRV57329","No" 5057 | "PRV57330","No" 5058 | "PRV57331","No" 5059 | "PRV57332","No" 5060 | "PRV57333","No" 5061 | "PRV57334","No" 5062 | "PRV57335","Yes" 5063 | "PRV57336","No" 5064 | "PRV57339","No" 5065 | "PRV57340","No" 5066 | "PRV57341","Yes" 5067 | "PRV57343","No" 5068 | "PRV57344","Yes" 5069 | "PRV57345","Yes" 5070 | "PRV57346","No" 5071 | "PRV57347","No" 5072 | "PRV57348","No" 5073 | "PRV57350","No" 5074 | "PRV57351","No" 5075 | "PRV57352","No" 5076 | "PRV57354","No" 5077 | "PRV57355","No" 5078 | "PRV57356","No" 5079 | "PRV57357","No" 5080 | "PRV57358","No" 5081 | "PRV57359","No" 5082 | "PRV57361","No" 5083 | "PRV57363","No" 5084 | "PRV57364","No" 5085 | "PRV57365","No" 5086 | "PRV57366","No" 5087 | "PRV57367","No" 5088 | "PRV57368","No" 5089 | "PRV57369","No" 5090 | "PRV57371","No" 5091 | "PRV57372","No" 5092 | "PRV57373","No" 5093 | "PRV57374","No" 5094 | "PRV57375","No" 5095 | "PRV57376","No" 5096 | "PRV57378","No" 5097 | "PRV57379","No" 5098 | "PRV57380","No" 5099 | "PRV57381","No" 5100 | "PRV57382","No" 5101 | "PRV57385","No" 5102 | "PRV57386","No" 5103 | "PRV57388","No" 5104 | "PRV57389","No" 5105 | "PRV57390","No" 5106 | "PRV57391","No" 5107 | "PRV57392","No" 5108 | "PRV57393","No" 5109 | "PRV57394","No" 5110 | "PRV57396","No" 5111 | "PRV57397","No" 5112 | "PRV57398","No" 5113 | "PRV57399","No" 5114 | "PRV57400","No" 5115 | "PRV57401","No" 5116 | "PRV57402","No" 5117 | "PRV57403","No" 5118 | "PRV57404","No" 5119 | "PRV57405","No" 5120 | "PRV57406","No" 5121 | "PRV57407","No" 5122 | "PRV57408","No" 5123 | "PRV57409","Yes" 5124 | "PRV57410","No" 5125 | "PRV57411","No" 5126 | "PRV57412","No" 5127 | "PRV57413","No" 5128 | "PRV57414","No" 5129 | "PRV57415","No" 5130 | "PRV57416","No" 5131 | "PRV57417","No" 5132 | "PRV57419","No" 5133 | "PRV57421","No" 5134 | "PRV57422","No" 5135 | "PRV57423","No" 5136 | "PRV57424","No" 5137 | "PRV57425","Yes" 5138 | "PRV57426","No" 5139 | "PRV57427","No" 5140 | "PRV57429","No" 5141 | "PRV57431","No" 5142 | "PRV57432","No" 5143 | "PRV57433","No" 5144 | "PRV57434","No" 5145 | "PRV57435","No" 5146 | "PRV57436","No" 5147 | "PRV57437","No" 5148 | "PRV57438","No" 5149 | "PRV57440","No" 5150 | "PRV57441","No" 5151 | "PRV57443","No" 5152 | "PRV57444","No" 5153 | "PRV57445","No" 5154 | "PRV57446","No" 5155 | "PRV57447","No" 5156 | "PRV57448","No" 5157 | "PRV57449","No" 5158 | "PRV57450","No" 5159 | "PRV57452","No" 5160 | "PRV57453","No" 5161 | "PRV57454","No" 5162 | "PRV57455","No" 5163 | "PRV57456","No" 5164 | "PRV57459","No" 5165 | "PRV57460","No" 5166 | "PRV57461","No" 5167 | "PRV57462","No" 5168 | "PRV57463","No" 5169 | "PRV57464","No" 5170 | "PRV57465","No" 5171 | "PRV57467","No" 5172 | "PRV57468","No" 5173 | "PRV57469","No" 5174 | "PRV57470","No" 5175 | "PRV57471","No" 5176 | "PRV57472","No" 5177 | "PRV57473","No" 5178 | "PRV57474","No" 5179 | "PRV57475","No" 5180 | "PRV57476","No" 5181 | "PRV57477","No" 5182 | "PRV57479","No" 5183 | "PRV57481","Yes" 5184 | "PRV57484","No" 5185 | "PRV57485","No" 5186 | "PRV57486","No" 5187 | "PRV57487","No" 5188 | "PRV57488","No" 5189 | "PRV57489","No" 5190 | "PRV57490","No" 5191 | "PRV57491","No" 5192 | "PRV57492","No" 5193 | "PRV57495","Yes" 5194 | "PRV57496","No" 5195 | "PRV57499","No" 5196 | "PRV57500","No" 5197 | "PRV57501","No" 5198 | "PRV57502","Yes" 5199 | "PRV57504","No" 5200 | "PRV57507","No" 5201 | "PRV57509","No" 5202 | "PRV57510","No" 5203 | "PRV57512","No" 5204 | "PRV57514","No" 5205 | "PRV57515","No" 5206 | "PRV57516","No" 5207 | "PRV57517","No" 5208 | "PRV57518","No" 5209 | "PRV57519","No" 5210 | "PRV57520","No" 5211 | "PRV57521","No" 5212 | "PRV57522","No" 5213 | "PRV57523","No" 5214 | "PRV57525","Yes" 5215 | "PRV57526","No" 5216 | "PRV57527","Yes" 5217 | "PRV57528","Yes" 5218 | "PRV57529","No" 5219 | "PRV57530","No" 5220 | "PRV57531","No" 5221 | "PRV57532","No" 5222 | "PRV57533","No" 5223 | "PRV57534","No" 5224 | "PRV57536","No" 5225 | "PRV57539","No" 5226 | "PRV57540","No" 5227 | "PRV57541","No" 5228 | "PRV57542","No" 5229 | "PRV57543","Yes" 5230 | "PRV57544","No" 5231 | "PRV57545","No" 5232 | "PRV57546","No" 5233 | "PRV57547","Yes" 5234 | "PRV57548","Yes" 5235 | "PRV57549","No" 5236 | "PRV57550","No" 5237 | "PRV57551","No" 5238 | "PRV57552","No" 5239 | "PRV57553","No" 5240 | "PRV57555","No" 5241 | "PRV57557","No" 5242 | "PRV57558","No" 5243 | "PRV57560","No" 5244 | "PRV57561","No" 5245 | "PRV57563","No" 5246 | "PRV57564","No" 5247 | "PRV57565","No" 5248 | "PRV57567","No" 5249 | "PRV57568","No" 5250 | "PRV57569","Yes" 5251 | "PRV57570","No" 5252 | "PRV57571","No" 5253 | "PRV57572","No" 5254 | "PRV57573","No" 5255 | "PRV57574","No" 5256 | "PRV57575","No" 5257 | "PRV57576","No" 5258 | "PRV57577","No" 5259 | "PRV57578","No" 5260 | "PRV57580","No" 5261 | "PRV57581","No" 5262 | "PRV57583","No" 5263 | "PRV57584","No" 5264 | "PRV57585","No" 5265 | "PRV57586","No" 5266 | "PRV57588","No" 5267 | "PRV57590","No" 5268 | "PRV57592","No" 5269 | "PRV57593","No" 5270 | "PRV57594","No" 5271 | "PRV57595","No" 5272 | "PRV57596","No" 5273 | "PRV57597","No" 5274 | "PRV57598","No" 5275 | "PRV57599","No" 5276 | "PRV57600","No" 5277 | "PRV57601","No" 5278 | "PRV57602","No" 5279 | "PRV57603","No" 5280 | "PRV57605","No" 5281 | "PRV57609","No" 5282 | "PRV57610","No" 5283 | "PRV57611","No" 5284 | "PRV57612","No" 5285 | "PRV57613","No" 5286 | "PRV57614","No" 5287 | "PRV57615","No" 5288 | "PRV57616","No" 5289 | "PRV57617","No" 5290 | "PRV57618","No" 5291 | "PRV57619","No" 5292 | "PRV57623","No" 5293 | "PRV57624","No" 5294 | "PRV57625","No" 5295 | "PRV57626","No" 5296 | "PRV57627","No" 5297 | "PRV57629","No" 5298 | "PRV57630","No" 5299 | "PRV57631","Yes" 5300 | "PRV57632","No" 5301 | "PRV57633","No" 5302 | "PRV57634","No" 5303 | "PRV57635","No" 5304 | "PRV57636","No" 5305 | "PRV57638","No" 5306 | "PRV57639","No" 5307 | "PRV57640","No" 5308 | "PRV57641","No" 5309 | "PRV57642","Yes" 5310 | "PRV57643","No" 5311 | "PRV57645","No" 5312 | "PRV57646","No" 5313 | "PRV57647","No" 5314 | "PRV57650","No" 5315 | "PRV57651","No" 5316 | "PRV57652","No" 5317 | "PRV57653","No" 5318 | "PRV57654","No" 5319 | "PRV57655","No" 5320 | "PRV57657","No" 5321 | "PRV57658","No" 5322 | "PRV57659","No" 5323 | "PRV57660","No" 5324 | "PRV57662","No" 5325 | "PRV57663","No" 5326 | "PRV57667","Yes" 5327 | "PRV57668","No" 5328 | "PRV57669","No" 5329 | "PRV57670","No" 5330 | "PRV57671","No" 5331 | "PRV57672","Yes" 5332 | "PRV57673","No" 5333 | "PRV57674","No" 5334 | "PRV57675","No" 5335 | "PRV57676","No" 5336 | "PRV57677","No" 5337 | "PRV57678","No" 5338 | "PRV57679","No" 5339 | "PRV57680","No" 5340 | "PRV57682","No" 5341 | "PRV57683","No" 5342 | "PRV57684","No" 5343 | "PRV57686","No" 5344 | "PRV57687","No" 5345 | "PRV57688","No" 5346 | "PRV57689","No" 5347 | "PRV57690","No" 5348 | "PRV57691","No" 5349 | "PRV57692","No" 5350 | "PRV57693","No" 5351 | "PRV57694","No" 5352 | "PRV57696","No" 5353 | "PRV57697","Yes" 5354 | "PRV57699","No" 5355 | "PRV57700","No" 5356 | "PRV57701","No" 5357 | "PRV57702","No" 5358 | "PRV57704","No" 5359 | "PRV57705","No" 5360 | "PRV57706","No" 5361 | "PRV57707","No" 5362 | "PRV57709","Yes" 5363 | "PRV57710","No" 5364 | "PRV57711","No" 5365 | "PRV57712","No" 5366 | "PRV57714","No" 5367 | "PRV57715","No" 5368 | "PRV57716","No" 5369 | "PRV57717","No" 5370 | "PRV57718","No" 5371 | "PRV57719","No" 5372 | "PRV57720","No" 5373 | "PRV57721","No" 5374 | "PRV57722","No" 5375 | "PRV57723","No" 5376 | "PRV57724","No" 5377 | "PRV57725","No" 5378 | "PRV57727","No" 5379 | "PRV57728","No" 5380 | "PRV57729","No" 5381 | "PRV57730","No" 5382 | "PRV57731","No" 5383 | "PRV57732","No" 5384 | "PRV57733","No" 5385 | "PRV57734","No" 5386 | "PRV57735","No" 5387 | "PRV57736","No" 5388 | "PRV57737","No" 5389 | "PRV57738","No" 5390 | "PRV57739","No" 5391 | "PRV57740","No" 5392 | "PRV57741","No" 5393 | "PRV57742","No" 5394 | "PRV57743","No" 5395 | "PRV57744","No" 5396 | "PRV57746","No" 5397 | "PRV57747","No" 5398 | "PRV57748","No" 5399 | "PRV57751","No" 5400 | "PRV57752","No" 5401 | "PRV57753","No" 5402 | "PRV57754","No" 5403 | "PRV57755","No" 5404 | "PRV57756","No" 5405 | "PRV57757","No" 5406 | "PRV57758","No" 5407 | "PRV57759","No" 5408 | "PRV57760","No" 5409 | "PRV57761","No" 5410 | "PRV57762","No" 5411 | "PRV57763","No" 5412 | --------------------------------------------------------------------------------