{ From user olex, Model Mehgvsn3 at Mon, Jan 18, 2010 3:39 PM} Softwareversion 4.1.0 { System Variables with non-default values: } Description Time: Dynamic simulation periods are specified in Time's ~~ definition. This is usually a list of numbers or labels, typically in~~ some unit of time (days, weeks, months, etc.). Use the “Dynamic()” ~~ function in your variables to perform dynamic simulation. Samplesize := 1000 Usetable := 0 {!40000|Att_previndexvalue Run: [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16~~ ,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39~~ ,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62~~ ,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85~~ ,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106~~ ,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,~~ 124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,~~ 141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158~~ ,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,~~ 176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193~~ ,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,~~ 211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228~~ ,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245~~ ,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,~~ 263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280~~ ,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,~~ 298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315~~ ,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332~~ ,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,~~ 350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367~~ ,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,~~ 385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402~~ ,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,~~ 420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,~~ 437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454~~ ,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,~~ 472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489~~ ,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,~~ 507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,~~ 524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541~~ ,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,~~ 559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576~~ ,577,578,579,580,581,582,583,584,585,586,587,588,589,590,591,592,593,~~ 594,595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611~~ ,612,613,614,615,616,617,618,619,620,621,622,623,624,625,626,627,628~~ ,629,630,631,632,633,634,635,636,637,638,639,640,641,642,643,644,645,~~ 646,647,648,649,650,651,652,653,654,655,656,657,658,659,660,661,662,663~~ ,664,665,666,667,668,669,670,671,672,673,674,675,676,677,678,679,680,~~ 681,682,683,684,685,686,687,688,689,690,691,692,693,694,695,696,697,698~~ ,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715~~ ,716,717,718,719,720,721,722,723,724,725,726,727,728,729,730,731,732,~~ 733,734,735,736,737,738,739,740,741,742,743,744,745,746,747,748,749,750~~ ,751,752,753,754,755,756,757,758,759,760,761,762,763,764,765,766,767,~~ 768,769,770,771,772,773,774,775,776,777,778,779,780,781,782,783,784,785~~ ,786,787,788,789,790,791,792,793,794,795,796,797,798,799,800,801,802~~ ,803,804,805,806,807,808,809,810,811,812,813,814,815,816,817,818,819,~~ 820,821,822,823,824,825,826,827,828,829,830,831,832,833,834,835,836,837~~ ,838,839,840,841,842,843,844,845,846,847,848,849,850,851,852,853,854,~~ 855,856,857,858,859,860,861,862,863,864,865,866,867,868,869,870,871,872~~ ,873,874,875,876,877,878,879,880,881,882,883,884,885,886,887,888,889,~~ 890,891,892,893,894,895,896,897,898,899,900,901,902,903,904,905,906,~~ 907,908,909,910,911,912,913,914,915,916,917,918,919,920,921,922,923,924~~ ,925,926,927,928,929,930,931,932,933,934,935,936,937,938,939,940,941,~~ 942,943,944,945,946,947,948,949,950,951,952,953,954,955,956,957,958,959~~ ,960,961,962,963,964,965,966,967,968,969,970,971,972,973,974,975,976,~~ 977,978,979,980,981,982,983,984,985,986,987,988,989,990,991,992,993,~~ 994,995,996,997,998,999,1000,1001,1002,1003,1004,1005,1006,1007,1008,~~ 1009,1010,1011,1012,1013,1014,1015,1016,1017,1018,1019,1020,1021,1022~~ ,1023,1024,1025,1026,1027,1028,1029,1030,1031,1032,1033,1034,1035,1036~~ ,1037,1038,1039,1040,1041,1042,1043,1044,1045,1046,1047,1048,1049,1050~~ ,1051,1052,1053,1054,1055,1056,1057,1058,1059,1060,1061,1062,1063,1064~~ ,1065,1066,1067,1068,1069,1070,1071,1072,1073,1074,1075,1076,1077,1078~~ ,1079,1080,1081,1082,1083,1084,1085,1086,1087,1088,1089,1090,1091,1092~~ ,1093,1094,1095,1096,1097,1098,1099,1100,1101,1102,1103,1104,1105,1106~~ ,1107,1108,1109,1110,1111,1112,1113,1114,1115,1116,1117,1118,1119,1120~~ ,1121,1122,1123,1124,1125,1126,1127,1128,1129,1130,1131,1132,1133,1134~~ ,1135,1136,1137,1138,1139,1140,1141,1142,1143,1144,1145,1146,1147,1148~~ ,1149,1150,1151,1152,1153,1154,1155,1156,1157,1158,1159,1160,1161,1162~~ ,1163,1164,1165,1166,1167,1168,1169,1170,1171,1172,1173,1174,1175,1176~~ ,1177,1178,1179,1180,1181,1182,1183,1184,1185,1186,1187,1188,1189,1190~~ ,1191,1192,1193,1194,1195,1196,1197,1198,1199,1200,1201,1202,1203,1204~~ ,1205,1206,1207,1208,1209,1210,1211,1212,1213,1214,1215,1216,1217,1218~~ ,1219,1220,1221,1222,1223,1224,1225,1226,1227,1228,1229,1230,1231,1232~~ ,1233,1234,1235,1236,1237,1238,1239,1240,1241,1242,1243,1244,1245,1246~~ ,1247,1248,1249,1250,1251,1252,1253,1254,1255,1256,1257,1258,1259,1260~~ ,1261,1262,1263,1264,1265,1266,1267,1268,1269,1270,1271,1272,1273,1274~~ ,1275,1276,1277,1278,1279,1280,1281,1282,1283,1284,1285,1286,1287,1288~~ ,1289,1290,1291,1292,1293,1294,1295,1296,1297,1298,1299,1300,1301,1302~~ ,1303,1304,1305,1306,1307,1308,1309,1310,1311,1312,1313,1314,1315,1316~~ ,1317,1318,1319,1320,1321,1322,1323,1324,1325,1326,1327,1328,1329,1330~~ ,1331,1332,1333,1334,1335,1336,1337,1338,1339,1340,1341,1342,1343,1344~~ ,1345,1346,1347,1348,1349,1350,1351,1352,1353,1354,1355,1356,1357,1358~~ ,1359,1360,1361,1362,1363,1364,1365,1366,1367,1368,1369,1370,1371,1372~~ ,1373,1374,1375,1376,1377,1378,1379,1380,1381,1382,1383,1384,1385,1386~~ ,1387,1388,1389,1390,1391,1392,1393,1394,1395,1396,1397,1398,1399,1400~~ ,1401,1402,1403,1404,1405,1406,1407,1408,1409,1410,1411,1412,1413,1414~~ ,1415,1416,1417,1418,1419,1420,1421,1422,1423,1424,1425,1426,1427,1428~~ ,1429,1430,1431,1432,1433,1434,1435,1436,1437,1438,1439,1440,1441,1442~~ ,1443,1444,1445,1446,1447,1448,1449,1450,1451,1452,1453,1454,1455,1456~~ ,1457,1458,1459,1460,1461,1462,1463,1464,1465,1466,1467,1468,1469,1470~~ ,1471,1472,1473,1474,1475,1476,1477,1478,1479,1480,1481,1482,1483,1484~~ ,1485,1486,1487,1488,1489,1490,1491,1492,1493,1494,1495,1496,1497,1498~~ ,1499,1500,1501,1502,1503,1504,1505,1506,1507,1508,1509,1510,1511,1512~~ ,1513,1514,1515,1516,1517,1518,1519,1520,1521,1522,1523,1524,1525,1526~~ ,1527,1528,1529,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540~~ ,1541,1542,1543,1544,1545,1546,1547,1548,1549,1550,1551,1552,1553,1554~~ ,1555,1556,1557,1558,1559,1560,1561,1562,1563,1564,1565,1566,1567,1568~~ ,1569,1570,1571,1572,1573,1574,1575,1576,1577,1578,1579,1580,1581,1582~~ ,1583,1584,1585,1586,1587,1588,1589,1590,1591,1592,1593,1594,1595,1596~~ ,1597,1598,1599,1600,1601,1602,1603,1604,1605,1606,1607,1608,1609,1610~~ ,1611,1612,1613,1614,1615,1616,1617,1618,1619,1620,1621,1622,1623,1624~~ ,1625,1626,1627,1628,1629,1630,1631,1632,1633,1634,1635,1636,1637,1638~~ ,1639,1640,1641,1642,1643,1644,1645,1646,1647,1648,1649,1650,1651,1652~~ ,1653,1654,1655,1656,1657,1658,1659,1660,1661,1662,1663,1664,1665,1666~~ ,1667,1668,1669,1670,1671,1672,1673,1674,1675,1676,1677,1678,1679,1680~~ ,1681,1682,1683,1684,1685,1686,1687,1688,1689,1690,1691,1692,1693,1694~~ ,1695,1696,1697,1698,1699,1700,1701,1702,1703,1704,1705,1706,1707,1708~~ ,1709,1710,1711,1712,1713,1714,1715,1716,1717,1718,1719,1720,1721,1722~~ ,1723,1724,1725,1726,1727,1728,1729,1730,1731,1732,1733,1734,1735,1736~~ ,1737,1738,1739,1740,1741,1742,1743,1744,1745,1746,1747,1748,1749,1750~~ ,1751,1752,1753,1754,1755,1756,1757,1758,1759,1760,1761,1762,1763,1764~~ ,1765,1766,1767,1768,1769,1770,1771,1772,1773,1774,1775,1776,1777,1778~~ ,1779,1780,1781,1782,1783,1784,1785,1786,1787,1788,1789,1790,1791,1792~~ ,1793,1794,1795,1796,1797,1798,1799,1800,1801,1802,1803,1804,1805,1806~~ ,1807,1808,1809,1810,1811,1812,1813,1814,1815,1816,1817,1818,1819,1820~~ ,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834~~ ,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848~~ ,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862~~ ,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876~~ ,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890~~ ,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904~~ ,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918~~ ,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932~~ ,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946~~ ,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960~~ ,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974~~ ,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988~~ ,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002~~ ,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016~~ ,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030~~ ,2031,2032,2033,2034,2035,2036,2037,2038,2039,2040,2041,2042,2043,2044~~ ,2045,2046,2047,2048,2049,2050,2051,2052,2053,2054,2055,2056,2057,2058~~ ,2059,2060,2061,2062,2063,2064,2065,2066,2067,2068,2069,2070,2071,2072~~ ,2073,2074,2075,2076,2077,2078,2079,2080,2081,2082,2083,2084,2085,2086~~ ,2087,2088,2089,2090,2091,2092,2093,2094,2095,2096,2097,2098,2099,2100~~ ,2101,2102,2103,2104,2105,2106,2107,2108,2109,2110,2111,2112,2113,2114~~ ,2115,2116,2117,2118,2119,2120,2121,2122,2123,2124,2125,2126,2127,2128~~ ,2129,2130,2131,2132,2133,2134,2135,2136,2137,2138,2139,2140,2141,2142~~ ,2143,2144,2145,2146,2147,2148,2149,2150,2151,2152,2153,2154,2155,2156~~ ,2157,2158,2159,2160,2161,2162,2163,2164,2165,2166,2167,2168,2169,2170~~ ,2171,2172,2173,2174,2175,2176,2177,2178,2179,2180,2181,2182,2183,2184~~ ,2185,2186,2187,2188,2189,2190,2191,2192,2193,2194,2195,2196,2197,2198~~ ,2199,2200,2201,2202,2203,2204,2205,2206,2207,2208,2209,2210,2211,2212~~ ,2213,2214,2215,2216,2217,2218,2219,2220,2221,2222,2223,2224,2225,2226~~ ,2227,2228,2229,2230,2231,2232,2233,2234,2235,2236,2237,2238,2239,2240~~ ,2241,2242,2243,2244,2245,2246,2247,2248,2249,2250,2251,2252,2253,2254~~ ,2255,2256,2257,2258,2259,2260,2261,2262,2263,2264,2265,2266,2267,2268~~ ,2269,2270,2271,2272,2273,2274,2275,2276,2277,2278,2279,2280,2281,2282~~ ,2283,2284,2285,2286,2287,2288,2289,2290,2291,2292,2293,2294,2295,2296~~ ,2297,2298,2299,2300,2301,2302,2303,2304,2305,2306,2307,2308,2309,2310~~ ,2311,2312,2313,2314,2315,2316,2317,2318,2319,2320,2321,2322,2323,2324~~ ,2325,2326,2327,2328,2329,2330,2331,2332,2333,2334,2335,2336,2337,2338~~ ,2339,2340,2341,2342,2343,2344,2345,2346,2347,2348,2349,2350,2351,2352~~ ,2353,2354,2355,2356,2357,2358,2359,2360,2361,2362,2363,2364,2365,2366~~ ,2367,2368,2369,2370,2371,2372,2373,2374,2375,2376,2377,2378,2379,2380~~ ,2381,2382,2383,2384,2385,2386,2387,2388,2389,2390,2391,2392,2393,2394~~ ,2395,2396,2397,2398,2399,2400,2401,2402,2403,2404,2405,2406,2407,2408~~ ,2409,2410,2411,2412,2413,2414,2415,2416,2417,2418,2419,2420,2421,2422~~ ,2423,2424,2425,2426,2427,2428,2429,2430,2431,2432,2433,2434,2435,2436~~ ,2437,2438,2439,2440,2441,2442,2443,2444,2445,2446,2447,2448,2449,2450~~ ,2451,2452,2453,2454,2455,2456,2457,2458,2459,2460,2461,2462,2463,2464~~ ,2465,2466,2467,2468,2469,2470,2471,2472,2473,2474,2475,2476,2477,2478~~ ,2479,2480,2481,2482,2483,2484,2485,2486,2487,2488,2489,2490,2491,2492~~ ,2493,2494,2495,2496,2497,2498,2499,2500,2501,2502,2503,2504,2505,2506~~ ,2507,2508,2509,2510,2511,2512,2513,2514,2515,2516,2517,2518,2519,2520~~ ,2521,2522,2523,2524,2525,2526,2527,2528,2529,2530,2531,2532,2533,2534~~ ,2535,2536,2537,2538,2539,2540,2541,2542,2543,2544,2545,2546,2547,2548~~ ,2549,2550,2551,2552,2553,2554,2555,2556,2557,2558,2559,2560,2561,2562~~ ,2563,2564,2565,2566,2567,2568,2569,2570,2571,2572,2573,2574,2575,2576~~ ,2577,2578,2579,2580,2581,2582,2583,2584,2585,2586,2587,2588,2589,2590~~ ,2591,2592,2593,2594,2595,2596,2597,2598,2599,2600,2601,2602,2603,2604~~ ,2605,2606,2607,2608,2609,2610,2611,2612,2613,2614,2615,2616,2617,2618~~ ,2619,2620,2621,2622,2623,2624,2625,2626,2627,2628,2629,2630,2631,2632~~ ,2633,2634,2635,2636,2637,2638,2639,2640,2641,2642,2643,2644,2645,2646~~ ,2647,2648,2649,2650,2651,2652,2653,2654,2655,2656,2657,2658,2659,2660~~ ,2661,2662,2663,2664,2665,2666,2667,2668,2669,2670,2671,2672,2673,2674~~ ,2675,2676,2677,2678,2679,2680,2681,2682,2683,2684,2685,2686,2687,2688~~ ,2689,2690,2691,2692,2693,2694,2695,2696,2697,2698,2699,2700,2701,2702~~ ,2703,2704,2705,2706,2707,2708,2709,2710,2711,2712,2713,2714,2715,2716~~ ,2717,2718,2719,2720,2721,2722,2723,2724,2725,2726,2727,2728,2729,2730~~ ,2731,2732,2733,2734,2735,2736,2737,2738,2739,2740,2741,2742,2743,2744~~ ,2745,2746,2747,2748,2749,2750,2751,2752,2753,2754,2755,2756,2757,2758~~ ,2759,2760,2761,2762,2763,2764,2765,2766,2767,2768,2769,2770,2771,2772~~ ,2773,2774,2775,2776,2777,2778,2779,2780,2781,2782,2783,2784,2785,2786~~ ,2787,2788,2789,2790,2791,2792,2793,2794,2795,2796,2797,2798,2799,2800~~ ,2801,2802,2803,2804,2805,2806,2807,2808,2809,2810,2811,2812,2813,2814~~ ,2815,2816,2817,2818,2819,2820,2821,2822,2823,2824,2825,2826,2827,2828~~ ,2829,2830,2831,2832,2833,2834,2835,2836,2837,2838,2839,2840,2841,2842~~ ,2843,2844,2845,2846,2847,2848,2849,2850,2851,2852,2853,2854,2855,2856~~ ,2857,2858,2859,2860,2861,2862,2863,2864,2865,2866,2867,2868,2869,2870~~ ,2871,2872,2873,2874,2875,2876,2877,2878,2879,2880,2881,2882,2883,2884~~ ,2885,2886,2887,2888,2889,2890,2891,2892,2893,2894,2895,2896,2897,2898~~ ,2899,2900,2901,2902,2903,2904,2905,2906,2907,2908,2909,2910,2911,2912~~ ,2913,2914,2915,2916,2917,2918,2919,2920,2921,2922,2923,2924,2925,2926~~ ,2927,2928,2929,2930,2931,2932,2933,2934,2935,2936,2937,2938,2939,2940~~ ,2941,2942,2943,2944,2945,2946,2947,2948,2949,2950,2951,2952,2953,2954~~ ,2955,2956,2957,2958,2959,2960,2961,2962,2963,2964,2965,2966,2967,2968~~ ,2969,2970,2971,2972,2973,2974,2975,2976,2977,2978,2979,2980,2981,2982~~ ,2983,2984,2985,2986,2987,2988,2989,2990,2991,2992,2993,2994,2995,2996~~ ,2997,2998,2999,3000,3001,3002,3003,3004,3005,3006,3007,3008,3009,3010~~ ,3011,3012,3013,3014,3015,3016,3017,3018,3019,3020,3021,3022,3023,3024~~ ,3025,3026,3027,3028,3029,3030,3031,3032,3033,3034,3035,3036,3037,3038~~ ,3039,3040,3041,3042,3043,3044,3045,3046,3047,3048,3049,3050,3051,3052~~ ,3053,3054,3055,3056,3057,3058,3059,3060,3061,3062,3063,3064,3065,3066~~ ,3067,3068,3069,3070,3071,3072,3073,3074,3075,3076,3077,3078,3079,3080~~ ,3081,3082,3083,3084,3085,3086,3087,3088,3089,3090,3091,3092,3093,3094~~ ,3095,3096,3097,3098,3099,3100,3101,3102,3103,3104,3105,3106,3107,3108~~ ,3109,3110,3111,3112,3113,3114,3115,3116,3117,3118,3119,3120,3121,3122~~ ,3123,3124,3125,3126,3127,3128,3129,3130,3131,3132,3133,3134,3135,3136~~ ,3137,3138,3139,3140,3141,3142,3143,3144,3145,3146,3147,3148,3149,3150~~ ,3151,3152,3153,3154,3155,3156,3157,3158,3159,3160,3161,3162,3163,3164~~ ,3165,3166,3167,3168,3169,3170,3171,3172,3173,3174,3175,3176,3177,3178~~ ,3179,3180,3181,3182,3183,3184,3185,3186,3187,3188,3189,3190,3191,3192~~ ,3193,3194,3195,3196,3197,3198,3199,3200,3201,3202,3203,3204,3205,3206~~ ,3207,3208,3209,3210,3211,3212,3213,3214,3215,3216,3217,3218,3219,3220~~ ,3221,3222,3223,3224,3225,3226,3227,3228,3229,3230,3231,3232,3233,3234~~ ,3235,3236,3237,3238,3239,3240,3241,3242,3243,3244,3245,3246,3247,3248~~ ,3249,3250,3251,3252,3253,3254,3255,3256,3257,3258,3259,3260,3261,3262~~ ,3263,3264,3265,3266,3267,3268,3269,3270,3271,3272,3273,3274,3275,3276~~ ,3277,3278,3279,3280,3281,3282,3283,3284,3285,3286,3287,3288,3289,3290~~ ,3291,3292,3293,3294,3295,3296,3297,3298,3299,3300,3301,3302,3303,3304~~ ,3305,3306,3307,3308,3309,3310,3311,3312,3313,3314,3315,3316,3317,3318~~ ,3319,3320,3321,3322,3323,3324,3325,3326,3327,3328,3329,3330,3331,3332~~ ,3333,3334,3335,3336,3337,3338,3339,3340,3341,3342,3343,3344,3345,3346~~ ,3347,3348,3349,3350,3351,3352,3353,3354,3355,3356,3357,3358,3359,3360~~ ,3361,3362,3363,3364,3365,3366,3367,3368,3369,3370,3371,3372,3373,3374~~ ,3375,3376,3377,3378,3379,3380,3381,3382,3383,3384,3385,3386,3387,3388~~ ,3389,3390,3391,3392,3393,3394,3395,3396,3397,3398,3399,3400,3401,3402~~ ,3403,3404,3405,3406,3407,3408,3409,3410,3411,3412,3413,3414,3415,3416~~ ,3417,3418,3419,3420,3421,3422,3423,3424,3425,3426,3427,3428,3429,3430~~ ,3431,3432,3433,3434,3435,3436,3437,3438,3439,3440,3441,3442,3443,3444~~ ,3445,3446,3447,3448,3449,3450,3451,3452,3453,3454,3455,3456,3457,3458~~ ,3459,3460,3461,3462,3463,3464,3465,3466,3467,3468,3469,3470,3471,3472~~ ,3473,3474,3475,3476,3477,3478,3479,3480,3481,3482,3483,3484,3485,3486~~ ,3487,3488,3489,3490,3491,3492,3493,3494,3495,3496,3497,3498,3499,3500~~ ,3501,3502,3503,3504,3505,3506,3507,3508,3509,3510,3511,3512,3513,3514~~ ,3515,3516,3517,3518,3519,3520,3521,3522,3523,3524,3525,3526,3527,3528~~ ,3529,3530,3531,3532,3533,3534,3535,3536,3537,3538,3539,3540,3541,3542~~ ,3543,3544,3545,3546,3547,3548,3549,3550,3551,3552,3553,3554,3555,3556~~ ,3557,3558,3559,3560,3561,3562,3563,3564,3565,3566,3567,3568,3569,3570~~ ,3571,3572,3573,3574,3575,3576,3577,3578,3579,3580,3581,3582,3583,3584~~ ,3585,3586,3587,3588,3589,3590,3591,3592,3593,3594,3595,3596,3597,3598~~ ,3599,3600,3601,3602,3603,3604,3605,3606,3607,3608,3609,3610,3611,3612~~ ,3613,3614,3615,3616,3617,3618,3619,3620,3621,3622,3623,3624,3625,3626~~ ,3627,3628,3629,3630,3631,3632,3633,3634,3635,3636,3637,3638,3639,3640~~ ,3641,3642,3643,3644,3645,3646,3647,3648,3649,3650,3651,3652,3653,3654~~ ,3655,3656,3657,3658,3659,3660,3661,3662,3663,3664,3665,3666,3667,3668~~ ,3669,3670,3671,3672,3673,3674,3675,3676,3677,3678,3679,3680,3681,3682~~ ,3683,3684,3685,3686,3687,3688,3689,3690,3691,3692,3693,3694,3695,3696~~ ,3697,3698,3699,3700,3701,3702,3703,3704,3705,3706,3707,3708,3709,3710~~ ,3711,3712,3713,3714,3715,3716,3717,3718,3719,3720,3721,3722,3723,3724~~ ,3725,3726,3727,3728,3729,3730,3731,3732,3733,3734,3735,3736,3737,3738~~ ,3739,3740,3741,3742,3743,3744,3745,3746,3747,3748,3749,3750,3751,3752~~ ,3753,3754,3755,3756,3757,3758,3759,3760,3761,3762,3763,3764,3765,3766~~ ,3767,3768,3769,3770,3771,3772,3773,3774,3775,3776,3777,3778,3779,3780~~ ,3781,3782,3783,3784,3785,3786,3787,3788,3789,3790,3791,3792,3793,3794~~ ,3795,3796,3797,3798,3799,3800,3801,3802,3803,3804,3805,3806,3807,3808~~ ,3809,3810,3811,3812,3813,3814,3815,3816,3817,3818,3819,3820,3821,3822~~ ,3823,3824,3825,3826,3827,3828,3829,3830,3831,3832,3833,3834,3835,3836~~ ,3837,3838,3839,3840,3841,3842,3843,3844,3845,3846,3847,3848,3849,3850~~ ,3851,3852,3853,3854,3855,3856,3857,3858,3859,3860,3861,3862,3863,3864~~ ,3865,3866,3867,3868,3869,3870,3871,3872,3873,3874,3875,3876,3877,3878~~ ,3879,3880,3881,3882,3883,3884,3885,3886,3887,3888,3889,3890,3891,3892~~ ,3893,3894,3895,3896,3897,3898,3899,3900,3901,3902,3903,3904,3905,3906~~ ,3907,3908,3909,3910,3911,3912,3913,3914,3915,3916,3917,3918,3919,3920~~ ,3921,3922,3923,3924,3925,3926,3927,3928,3929,3930,3931,3932,3933,3934~~ ,3935,3936,3937,3938,3939,3940,3941,3942,3943,3944,3945,3946,3947,3948~~ ,3949,3950,3951,3952,3953,3954,3955,3956,3957,3958,3959,3960,3961,3962~~ ,3963,3964,3965,3966,3967,3968,3969,3970,3971,3972,3973,3974,3975,3976~~ ,3977,3978,3979,3980,3981,3982,3983,3984,3985,3986,3987,3988,3989,3990~~ ,3991,3992,3993,3994,3995,3996,3997,3998,3999,4000,4001,4002,4003,4004~~ ,4005,4006,4007,4008,4009,4010,4011,4012,4013,4014,4015,4016,4017,4018~~ ,4019,4020,4021,4022,4023,4024,4025,4026,4027,4028,4029,4030,4031,4032~~ ,4033,4034,4035,4036,4037,4038,4039,4040,4041,4042,4043,4044,4045,4046~~ ,4047,4048,4049,4050,4051,4052,4053,4054,4055,4056,4057,4058,4059,4060~~ ,4061,4062,4063,4064,4065,4066,4067,4068,4069,4070,4071,4072,4073,4074~~ ,4075,4076,4077,4078,4079,4080,4081,4082,4083,4084,4085,4086,4087,4088~~ ,4089,4090,4091,4092,4093,4094,4095,4096,4097,4098,4099,4100,4101,4102~~ ,4103,4104,4105,4106,4107,4108,4109,4110,4111,4112,4113,4114,4115,4116~~ ,4117,4118,4119,4120,4121,4122,4123,4124,4125,4126,4127,4128,4129,4130~~ ,4131,4132,4133,4134,4135,4136,4137,4138,4139,4140,4141,4142,4143,4144~~ ,4145,4146,4147,4148,4149,4150,4151,4152,4153,4154,4155,4156,4157,4158~~ ,4159,4160,4161,4162,4163,4164,4165,4166,4167,4168,4169,4170,4171,4172~~ ,4173,4174,4175,4176,4177,4178,4179,4180,4181,4182,4183,4184,4185,4186~~ ,4187,4188,4189,4190,4191,4192,4193,4194,4195,4196,4197,4198,4199,4200~~ ,4201,4202,4203,4204,4205,4206,4207,4208,4209,4210,4211,4212,4213,4214~~ ,4215,4216,4217,4218,4219,4220,4221,4222,4223,4224,4225,4226,4227,4228~~ ,4229,4230,4231,4232,4233,4234,4235,4236,4237,4238,4239,4240,4241,4242~~ ,4243,4244,4245,4246,4247,4248,4249,4250,4251,4252,4253,4254,4255,4256~~ ,4257,4258,4259,4260,4261,4262,4263,4264,4265,4266,4267,4268,4269,4270~~ ,4271,4272,4273,4274,4275,4276,4277,4278,4279,4280,4281,4282,4283,4284~~ ,4285,4286,4287,4288,4289,4290,4291,4292,4293,4294,4295,4296,4297,4298~~ ,4299,4300,4301,4302,4303,4304,4305,4306,4307,4308,4309,4310,4311,4312~~ ,4313,4314,4315,4316,4317,4318,4319,4320,4321,4322,4323,4324,4325,4326~~ ,4327,4328,4329,4330,4331,4332,4333,4334,4335,4336,4337,4338,4339,4340~~ ,4341,4342,4343,4344,4345,4346,4347,4348,4349,4350,4351,4352,4353,4354~~ ,4355,4356,4357,4358,4359,4360,4361,4362,4363,4364,4365,4366,4367,4368~~ ,4369,4370,4371,4372,4373,4374,4375,4376,4377,4378,4379,4380,4381,4382~~ ,4383,4384,4385,4386,4387,4388,4389,4390,4391,4392,4393,4394,4395,4396~~ ,4397,4398,4399,4400,4401,4402,4403,4404,4405,4406,4407,4408,4409,4410~~ ,4411,4412,4413,4414,4415,4416,4417,4418,4419,4420,4421,4422,4423,4424~~ ,4425,4426,4427,4428,4429,4430,4431,4432,4433,4434,4435,4436,4437,4438~~ ,4439,4440,4441,4442,4443,4444,4445,4446,4447,4448,4449,4450,4451,4452~~ ,4453,4454,4455,4456,4457,4458,4459,4460,4461,4462,4463,4464,4465,4466~~ ,4467,4468,4469,4470,4471,4472,4473,4474,4475,4476,4477,4478,4479,4480~~ ,4481,4482,4483,4484,4485,4486,4487,4488,4489,4490,4491,4492,4493,4494~~ ,4495,4496,4497,4498,4499,4500,4501,4502,4503,4504,4505,4506,4507,4508~~ ,4509,4510,4511,4512,4513,4514,4515,4516,4517,4518,4519,4520,4521,4522~~ ,4523,4524,4525,4526,4527,4528,4529,4530,4531,4532,4533,4534,4535,4536~~ ,4537,4538,4539,4540,4541,4542,4543,4544,4545,4546,4547,4548,4549,4550~~ ,4551,4552,4553,4554,4555,4556,4557,4558,4559,4560,4561,4562,4563,4564~~ ,4565,4566,4567,4568,4569,4570,4571,4572,4573,4574,4575,4576,4577,4578~~ ,4579,4580,4581,4582,4583,4584,4585,4586,4587,4588,4589,4590,4591,4592~~ ,4593,4594,4595,4596,4597,4598,4599,4600,4601,4602,4603,4604,4605,4606~~ ,4607,4608,4609,4610,4611,4612,4613,4614,4615,4616,4617,4618,4619,4620~~ ,4621,4622,4623,4624,4625,4626,4627,4628,4629,4630,4631,4632,4633,4634~~ ,4635,4636,4637,4638,4639,4640,4641,4642,4643,4644,4645,4646,4647,4648~~ ,4649,4650,4651,4652,4653,4654,4655,4656,4657,4658,4659,4660,4661,4662~~ ,4663,4664,4665,4666,4667,4668,4669,4670,4671,4672,4673,4674,4675,4676~~ ,4677,4678,4679,4680,4681,4682,4683,4684,4685,4686,4687,4688,4689,4690~~ ,4691,4692,4693,4694,4695,4696,4697,4698,4699,4700,4701,4702,4703,4704~~ ,4705,4706,4707,4708,4709,4710,4711,4712,4713,4714,4715,4716,4717,4718~~ ,4719,4720,4721,4722,4723,4724,4725,4726,4727,4728,4729,4730,4731,4732~~ ,4733,4734,4735,4736,4737,4738,4739,4740,4741,4742,4743,4744,4745,4746~~ ,4747,4748,4749,4750,4751,4752,4753,4754,4755,4756,4757,4758,4759,4760~~ ,4761,4762,4763,4764,4765,4766,4767,4768,4769,4770,4771,4772,4773,4774~~ ,4775,4776,4777,4778,4779,4780,4781,4782,4783,4784,4785,4786,4787,4788~~ ,4789,4790,4791,4792,4793,4794,4795,4796,4797,4798,4799,4800,4801,4802~~ ,4803,4804,4805,4806,4807,4808,4809,4810,4811,4812,4813,4814,4815,4816~~ ,4817,4818,4819,4820,4821,4822,4823,4824,4825,4826,4827,4828,4829,4830~~ ,4831,4832,4833,4834,4835,4836,4837,4838,4839,4840,4841,4842,4843,4844~~ ,4845,4846,4847,4848,4849,4850,4851,4852,4853,4854,4855,4856,4857,4858~~ ,4859,4860,4861,4862,4863,4864,4865,4866,4867,4868,4869,4870,4871,4872~~ ,4873,4874,4875,4876,4877,4878,4879,4880,4881,4882,4883,4884,4885,4886~~ ,4887,4888,4889,4890,4891,4892,4893,4894,4895,4896,4897,4898,4899,4900~~ ,4901,4902,4903,4904,4905,4906,4907,4908,4909,4910,4911,4912,4913,4914~~ ,4915,4916,4917,4918,4919,4920,4921,4922,4923,4924,4925,4926,4927,4928~~ ,4929,4930,4931,4932,4933,4934,4935,4936,4937,4938,4939,4940,4941,4942~~ ,4943,4944,4945,4946,4947,4948,4949,4950,4951,4952,4953,4954,4955,4956~~ ,4957,4958,4959,4960,4961,4962,4963,4964,4965,4966,4967,4968,4969,4970~~ ,4971,4972,4973,4974,4975,4976,4977,4978,4979,4980,4981,4982,4983,4984~~ ,4985,4986,4987,4988,4989,4990,4991,4992,4993,4994,4995,4996,4997,4998~~ ,4999,5000,5001,5002,5003,5004,5005,5006,5007,5008,5009,5010,5011,5012~~ ,5013,5014,5015,5016,5017,5018,5019,5020,5021,5022,5023,5024,5025,5026~~ ,5027,5028,5029,5030,5031,5032,5033,5034,5035,5036,5037,5038,5039,5040~~ ,5041,5042,5043,5044,5045,5046,5047,5048,5049,5050,5051,5052,5053,5054~~ ,5055,5056,5057,5058,5059,5060,5061,5062,5063,5064,5065,5066,5067,5068~~ ,5069,5070,5071,5072,5073,5074,5075,5076,5077,5078,5079,5080,5081,5082~~ ,5083,5084,5085,5086,5087,5088,5089,5090,5091,5092,5093,5094,5095,5096~~ ,5097,5098,5099,5100,5101,5102,5103,5104,5105,5106,5107,5108,5109,5110~~ ,5111,5112,5113,5114,5115,5116,5117,5118,5119,5120,5121,5122,5123,5124~~ ,5125,5126,5127,5128,5129,5130,5131,5132,5133,5134,5135,5136,5137,5138~~ ,5139,5140,5141,5142,5143,5144,5145,5146,5147,5148,5149,5150,5151,5152~~ ,5153,5154,5155,5156,5157,5158,5159,5160,5161,5162,5163,5164,5165,5166~~ ,5167,5168,5169,5170,5171,5172,5173,5174,5175,5176,5177,5178,5179,5180~~ ,5181,5182,5183,5184,5185,5186,5187,5188,5189,5190,5191,5192,5193,5194~~ ,5195,5196,5197,5198,5199,5200,5201,5202,5203,5204,5205,5206,5207,5208~~ ,5209,5210,5211,5212,5213,5214,5215,5216,5217,5218,5219,5220,5221,5222~~ ,5223,5224,5225,5226,5227,5228,5229,5230,5231,5232,5233,5234,5235,5236~~ ,5237,5238,5239,5240,5241,5242,5243,5244,5245,5246,5247,5248,5249,5250~~ ,5251,5252,5253,5254,5255,5256,5257,5258,5259,5260,5261,5262,5263,5264~~ ,5265,5266,5267,5268,5269,5270,5271,5272,5273,5274,5275,5276,5277,5278~~ ,5279,5280,5281,5282,5283,5284,5285,5286,5287,5288,5289,5290,5291,5292~~ ,5293,5294,5295,5296,5297,5298,5299,5300,5301,5302,5303,5304,5305,5306~~ ,5307,5308,5309,5310,5311,5312,5313,5314,5315,5316,5317,5318,5319,5320~~ ,5321,5322,5323,5324,5325,5326,5327,5328,5329,5330,5331,5332,5333,5334~~ ,5335,5336,5337,5338,5339,5340,5341,5342,5343,5344,5345,5346,5347,5348~~ ,5349,5350,5351,5352,5353,5354,5355,5356,5357,5358,5359,5360,5361,5362~~ ,5363,5364,5365,5366,5367,5368,5369,5370,5371,5372,5373,5374,5375,5376~~ ,5377,5378,5379,5380,5381,5382,5383,5384,5385,5386,5387,5388,5389,5390~~ ,5391,5392,5393,5394,5395,5396,5397,5398,5399,5400,5401,5402,5403,5404~~ ,5405,5406,5407,5408,5409,5410,5411,5412,5413,5414,5415,5416,5417,5418~~ ,5419,5420,5421,5422,5423,5424,5425,5426,5427,5428,5429,5430,5431,5432~~ ,5433,5434,5435,5436,5437,5438,5439,5440,5441,5442,5443,5444,5445,5446~~ ,5447,5448,5449,5450,5451,5452,5453,5454,5455,5456,5457,5458,5459,5460~~ ,5461,5462,5463,5464,5465,5466,5467,5468,5469,5470,5471,5472,5473,5474~~ ,5475,5476,5477,5478,5479,5480,5481,5482,5483,5484,5485,5486,5487,5488~~ ,5489,5490,5491,5492,5493,5494,5495,5496,5497,5498,5499,5500,5501,5502~~ ,5503,5504,5505,5506,5507,5508,5509,5510,5511,5512,5513,5514,5515,5516~~ ,5517,5518,5519,5520,5521,5522,5523,5524,5525,5526,5527,5528,5529,5530~~ ,5531,5532,5533,5534,5535,5536,5537,5538,5539,5540,5541,5542,5543,5544~~ ,5545,5546,5547,5548,5549,5550,5551,5552,5553,5554,5555,5556,5557,5558~~ ,5559,5560,5561,5562,5563,5564,5565,5566,5567,5568,5569,5570,5571,5572~~ ,5573,5574,5575,5576,5577,5578,5579,5580,5581,5582,5583,5584,5585,5586~~ ,5587,5588,5589,5590,5591,5592,5593,5594,5595,5596,5597,5598,5599,5600~~ ,5601,5602,5603,5604,5605,5606,5607,5608,5609,5610,5611,5612,5613,5614~~ ,5615,5616,5617,5618,5619,5620,5621,5622,5623,5624,5625,5626,5627,5628~~ ,5629,5630,5631,5632,5633,5634,5635,5636,5637,5638,5639,5640,5641,5642~~ ,5643,5644,5645,5646,5647,5648,5649,5650,5651,5652,5653,5654,5655,5656~~ ,5657,5658,5659,5660,5661,5662,5663,5664,5665,5666,5667,5668,5669,5670~~ ,5671,5672,5673,5674,5675,5676,5677,5678,5679,5680,5681,5682,5683,5684~~ ,5685,5686,5687,5688,5689,5690,5691,5692,5693,5694,5695,5696,5697,5698~~ ,5699,5700,5701,5702,5703,5704,5705,5706,5707,5708,5709,5710,5711,5712~~ ,5713,5714,5715,5716,5717,5718,5719,5720,5721,5722,5723,5724,5725,5726~~ ,5727,5728,5729,5730,5731,5732,5733,5734,5735,5736,5737,5738,5739,5740~~ ,5741,5742,5743,5744,5745,5746,5747,5748,5749,5750,5751,5752,5753,5754~~ ,5755,5756,5757,5758,5759,5760,5761,5762,5763,5764,5765,5766,5767,5768~~ ,5769,5770,5771,5772,5773,5774,5775,5776,5777,5778,5779,5780,5781,5782~~ ,5783,5784,5785,5786,5787,5788,5789,5790,5791,5792,5793,5794,5795,5796~~ ,5797,5798,5799,5800,5801,5802,5803,5804,5805,5806,5807,5808,5809,5810~~ ,5811,5812,5813,5814,5815,5816,5817,5818,5819,5820,5821,5822,5823,5824~~ ,5825,5826,5827,5828,5829,5830,5831,5832,5833,5834,5835,5836,5837,5838~~ ,5839,5840,5841,5842,5843,5844,5845,5846,5847,5848,5849,5850,5851,5852~~ ,5853,5854,5855,5856,5857,5858,5859,5860,5861,5862,5863,5864,5865,5866~~ ,5867,5868,5869,5870,5871,5872,5873,5874,5875,5876,5877,5878,5879,5880~~ ,5881,5882,5883,5884,5885,5886,5887,5888,5889,5890,5891,5892,5893,5894~~ ,5895,5896,5897,5898,5899,5900,5901,5902,5903,5904,5905,5906,5907,5908~~ ,5909,5910,5911,5912,5913,5914,5915,5916,5917,5918,5919,5920,5921,5922~~ ,5923,5924,5925,5926,5927,5928,5929,5930,5931,5932,5933,5934,5935,5936~~ ,5937,5938,5939,5940,5941,5942,5943,5944,5945,5946,5947,5948,5949,5950~~ ,5951,5952,5953,5954,5955,5956,5957,5958,5959,5960,5961,5962,5963,5964~~ ,5965,5966,5967,5968,5969,5970,5971,5972,5973,5974,5975,5976,5977,5978~~ ,5979,5980,5981,5982,5983,5984,5985,5986,5987,5988,5989,5990,5991,5992~~ ,5993,5994,5995,5996,5997,5998,5999,6000,6001,6002,6003,6004,6005,6006~~ ,6007,6008,6009,6010,6011,6012,6013,6014,6015,6016,6017,6018,6019,6020~~ ,6021,6022,6023,6024,6025,6026,6027,6028,6029,6030,6031,6032,6033,6034~~ ,6035,6036,6037,6038,6039,6040,6041,6042,6043,6044,6045,6046,6047,6048~~ ,6049,6050,6051,6052,6053,6054,6055,6056,6057,6058,6059,6060,6061,6062~~ ,6063,6064,6065,6066,6067,6068,6069,6070,6071,6072,6073,6074,6075,6076~~ ,6077,6078,6079,6080,6081,6082,6083,6084,6085,6086,6087,6088,6089,6090~~ ,6091,6092,6093,6094,6095,6096,6097,6098,6099,6100,6101,6102,6103,6104~~ ,6105,6106,6107,6108,6109,6110,6111,6112,6113,6114,6115,6116,6117,6118~~ ,6119,6120,6121,6122,6123,6124,6125,6126,6127,6128,6129,6130,6131,6132~~ ,6133,6134,6135,6136,6137,6138,6139,6140,6141,6142,6143,6144,6145,6146~~ ,6147,6148,6149,6150,6151,6152,6153,6154,6155,6156,6157,6158,6159,6160~~ ,6161,6162,6163,6164,6165,6166,6167,6168,6169,6170,6171,6172,6173,6174~~ ,6175,6176,6177,6178,6179,6180,6181,6182,6183,6184,6185,6186,6187,6188~~ ,6189,6190,6191,6192,6193,6194,6195,6196,6197,6198,6199,6200,6201,6202~~ ,6203,6204,6205,6206,6207,6208,6209,6210,6211,6212,6213,6214,6215,6216~~ ,6217,6218,6219,6220,6221,6222,6223,6224,6225,6226,6227,6228,6229,6230~~ ,6231,6232,6233,6234,6235,6236,6237,6238,6239,6240,6241,6242,6243,6244~~ ,6245,6246,6247,6248,6249,6250,6251,6252,6253,6254,6255,6256,6257,6258~~ ,6259,6260,6261,6262,6263,6264,6265,6266,6267,6268,6269,6270,6271,6272~~ ,6273,6274,6275,6276,6277,6278,6279,6280,6281,6282,6283,6284,6285,6286~~ ,6287,6288,6289,6290,6291,6292,6293,6294,6295,6296,6297,6298,6299,6300~~ ,6301,6302,6303,6304,6305,6306,6307,6308,6309,6310,6311,6312,6313,6314~~ ,6315,6316,6317,6318,6319,6320,6321,6322,6323,6324,6325,6326,6327,6328~~ ,6329,6330,6331,6332,6333,6334,6335,6336,6337,6338,6339,6340,6341,6342~~ ,6343,6344,6345,6346,6347,6348,6349,6350,6351,6352,6353,6354,6355,6356~~ ,6357,6358,6359,6360,6361,6362,6363,6364,6365,6366,6367,6368,6369,6370~~ ,6371,6372,6373,6374,6375,6376,6377,6378,6379,6380,6381,6382,6383,6384~~ ,6385,6386,6387,6388,6389,6390,6391,6392,6393,6394,6395,6396,6397,6398~~ ,6399,6400,6401,6402,6403,6404,6405,6406,6407,6408,6409,6410,6411,6412~~ ,6413,6414,6415,6416,6417,6418,6419,6420,6421,6422,6423,6424,6425,6426~~ ,6427,6428,6429,6430,6431,6432,6433,6434,6435,6436,6437,6438,6439,6440~~ ,6441,6442,6443,6444,6445,6446,6447,6448,6449,6450,6451,6452,6453,6454~~ ,6455,6456,6457,6458,6459,6460,6461,6462,6463,6464,6465,6466,6467,6468~~ ,6469,6470,6471,6472,6473,6474,6475,6476,6477,6478,6479,6480,6481,6482~~ ,6483,6484,6485,6486,6487,6488,6489,6490,6491,6492,6493,6494,6495,6496~~ ,6497,6498,6499,6500,6501,6502,6503,6504,6505,6506,6507,6508,6509,6510~~ ,6511,6512,6513,6514,6515,6516,6517,6518,6519,6520,6521,6522,6523,6524~~ ,6525,6526,6527,6528,6529,6530,6531,6532,6533,6534,6535,6536,6537,6538~~ ,6539,6540,6541,6542,6543,6544,6545,6546,6547,6548,6549,6550,6551,6552~~ ,6553,6554,6555,6556,6557,6558,6559,6560,6561,6562,6563,6564,6565,6566~~ ,6567,6568,6569,6570,6571,6572,6573,6574,6575,6576,6577,6578,6579,6580~~ ,6581,6582,6583,6584,6585,6586,6587,6588,6589,6590,6591,6592,6593,6594~~ ,6595,6596,6597,6598,6599,6600,6601,6602,6603,6604,6605,6606,6607,6608~~ ,6609,6610,6611,6612,6613,6614,6615,6616,6617,6618,6619,6620,6621,6622~~ ,6623,6624,6625,6626,6627,6628,6629,6630,6631,6632,6633,6634,6635,6636~~ ,6637,6638,6639,6640,6641,6642,6643,6644,6645,6646,6647,6648,6649,6650~~ ,6651,6652,6653,6654,6655,6656,6657,6658,6659,6660,6661,6662,6663,6664~~ ,6665,6666,6667,6668,6669,6670,6671,6672,6673,6674,6675,6676,6677,6678~~ ,6679,6680,6681,6682,6683,6684,6685,6686,6687,6688,6689,6690,6691,6692~~ ,6693,6694,6695,6696,6697,6698,6699,6700,6701,6702,6703,6704,6705,6706~~ ,6707,6708,6709,6710,6711,6712,6713,6714,6715,6716,6717,6718,6719,6720~~ ,6721,6722,6723,6724,6725,6726,6727,6728,6729,6730,6731,6732,6733,6734~~ ,6735,6736,6737,6738,6739,6740,6741,6742,6743,6744,6745,6746,6747,6748~~ ,6749,6750,6751,6752,6753,6754,6755,6756,6757,6758,6759,6760,6761,6762~~ ,6763,6764,6765,6766,6767,6768,6769,6770,6771,6772,6773,6774,6775,6776~~ ,6777,6778,6779,6780,6781,6782,6783,6784,6785,6786,6787,6788,6789,6790~~ ,6791,6792,6793,6794,6795,6796,6797,6798,6799,6800,6801,6802,6803,6804~~ ,6805,6806,6807,6808,6809,6810,6811,6812,6813,6814,6815,6816,6817,6818~~ ,6819,6820,6821,6822,6823,6824,6825,6826,6827,6828,6829,6830,6831,6832~~ ,6833,6834,6835,6836,6837,6838,6839,6840,6841,6842,6843,6844,6845,6846~~ ,6847,6848,6849,6850,6851,6852,6853,6854,6855,6856,6857,6858,6859,6860~~ ,6861,6862,6863,6864,6865,6866,6867,6868,6869,6870,6871,6872,6873,6874~~ ,6875,6876,6877,6878,6879,6880,6881,6882,6883,6884,6885,6886,6887,6888~~ ,6889,6890,6891,6892,6893,6894,6895,6896,6897,6898,6899,6900,6901,6902~~ ,6903,6904,6905,6906,6907,6908,6909,6910,6911,6912,6913,6914,6915,6916~~ ,6917,6918,6919,6920,6921,6922,6923,6924,6925,6926,6927,6928,6929,6930~~ ,6931,6932,6933,6934,6935,6936,6937,6938,6939,6940,6941,6942,6943,6944~~ ,6945,6946,6947,6948,6949,6950,6951,6952,6953,6954,6955,6956,6957,6958~~ ,6959,6960,6961,6962,6963,6964,6965,6966,6967,6968,6969,6970,6971,6972~~ ,6973,6974,6975,6976,6977,6978,6979,6980,6981,6982,6983,6984,6985,6986~~ ,6987,6988,6989,6990,6991,6992,6993,6994,6995,6996,6997,6998,6999,7000~~ ,7001,7002,7003,7004,7005,7006,7007,7008,7009,7010,7011,7012,7013,7014~~ ,7015,7016,7017,7018,7019,7020,7021,7022,7023,7024,7025,7026,7027,7028~~ ,7029,7030,7031,7032,7033,7034,7035,7036,7037,7038,7039,7040,7041,7042~~ ,7043,7044,7045,7046,7047,7048,7049,7050,7051,7052,7053,7054,7055,7056~~ ,7057,7058,7059,7060,7061,7062,7063,7064,7065,7066,7067,7068,7069,7070~~ ,7071,7072,7073,7074,7075,7076,7077,7078,7079,7080,7081,7082,7083,7084~~ ,7085,7086,7087,7088,7089,7090,7091,7092,7093,7094,7095,7096,7097,7098~~ ,7099,7100,7101,7102,7103,7104,7105,7106,7107,7108,7109,7110,7111,7112~~ ,7113,7114,7115,7116,7117,7118,7119,7120,7121,7122,7123,7124,7125,7126~~ ,7127,7128,7129,7130,7131,7132,7133,7134,7135,7136,7137,7138,7139,7140~~ ,7141,7142,7143,7144,7145,7146,7147,7148,7149,7150,7151,7152,7153,7154~~ ,7155,7156,7157,7158,7159,7160,7161,7162,7163,7164,7165,7166,7167,7168~~ ,7169,7170,7171,7172,7173,7174,7175,7176,7177,7178,7179,7180,7181,7182~~ ,7183,7184,7185,7186,7187,7188,7189,7190,7191,7192,7193,7194,7195,7196~~ ,7197,7198,7199,7200,7201,7202,7203,7204,7205,7206,7207,7208,7209,7210~~ ,7211,7212,7213,7214,7215,7216,7217,7218,7219,7220,7221,7222,7223,7224~~ ,7225,7226,7227,7228,7229,7230,7231,7232,7233,7234,7235,7236,7237,7238~~ ,7239,7240,7241,7242,7243,7244,7245,7246,7247,7248,7249,7250,7251,7252~~ ,7253,7254,7255,7256,7257,7258,7259,7260,7261,7262,7263,7264,7265,7266~~ ,7267,7268,7269,7270,7271,7272,7273,7274,7275,7276,7277,7278,7279,7280~~ ,7281,7282,7283,7284,7285,7286,7287,7288,7289,7290,7291,7292,7293,7294~~ ,7295,7296,7297,7298,7299,7300,7301,7302,7303,7304,7305,7306,7307,7308~~ ,7309,7310,7311,7312,7313,7314,7315,7316,7317,7318,7319,7320,7321,7322~~ ,7323,7324,7325,7326,7327,7328,7329,7330,7331,7332,7333,7334,7335,7336~~ ,7337,7338,7339,7340,7341,7342,7343,7344,7345,7346,7347,7348,7349,7350~~ ,7351,7352,7353,7354,7355,7356,7357,7358,7359,7360,7361,7362,7363,7364~~ ,7365,7366,7367,7368,7369,7370,7371,7372,7373,7374,7375,7376,7377,7378~~ ,7379,7380,7381,7382,7383,7384,7385,7386,7387,7388,7389,7390,7391,7392~~ ,7393,7394,7395,7396,7397,7398,7399,7400,7401,7402,7403,7404,7405,7406~~ ,7407,7408,7409,7410,7411,7412,7413,7414,7415,7416,7417,7418,7419,7420~~ ,7421,7422,7423,7424,7425,7426,7427,7428,7429,7430,7431,7432,7433,7434~~ ,7435,7436,7437,7438,7439,7440,7441,7442,7443,7444,7445,7446,7447,7448~~ ,7449,7450,7451,7452,7453,7454,7455,7456,7457,7458,7459,7460,7461,7462~~ ,7463,7464,7465,7466,7467,7468,7469,7470,7471,7472,7473,7474,7475,7476~~ ,7477,7478,7479,7480,7481,7482,7483,7484,7485,7486,7487,7488,7489,7490~~ ,7491,7492,7493,7494,7495,7496,7497,7498,7499,7500,7501,7502,7503,7504~~ ,7505,7506,7507,7508,7509,7510,7511,7512,7513,7514,7515,7516,7517,7518~~ ,7519,7520,7521,7522,7523,7524,7525,7526,7527,7528,7529,7530,7531,7532~~ ,7533,7534,7535,7536,7537,7538,7539,7540,7541,7542,7543,7544,7545,7546~~ ,7547,7548,7549,7550,7551,7552,7553,7554,7555,7556,7557,7558,7559,7560~~ ,7561,7562,7563,7564,7565,7566,7567,7568,7569,7570,7571,7572,7573,7574~~ ,7575,7576,7577,7578,7579,7580,7581,7582,7583,7584,7585,7586,7587,7588~~ ,7589,7590,7591,7592,7593,7594,7595,7596,7597,7598,7599,7600,7601,7602~~ ,7603,7604,7605,7606,7607,7608,7609,7610,7611,7612,7613,7614,7615,7616~~ ,7617,7618,7619,7620,7621,7622,7623,7624,7625,7626,7627,7628,7629,7630~~ ,7631,7632,7633,7634,7635,7636,7637,7638,7639,7640,7641,7642,7643,7644~~ ,7645,7646,7647,7648,7649,7650,7651,7652,7653,7654,7655,7656,7657,7658~~ ,7659,7660,7661,7662,7663,7664,7665,7666,7667,7668,7669,7670,7671,7672~~ ,7673,7674,7675,7676,7677,7678,7679,7680,7681,7682,7683,7684,7685,7686~~ ,7687,7688,7689,7690,7691,7692,7693,7694,7695,7696,7697,7698,7699,7700~~ ,7701,7702,7703,7704,7705,7706,7707,7708,7709,7710,7711,7712,7713,7714~~ ,7715,7716,7717,7718,7719,7720,7721,7722,7723,7724,7725,7726,7727,7728~~ ,7729,7730,7731,7732,7733,7734,7735,7736,7737,7738,7739,7740,7741,7742~~ ,7743,7744,7745,7746,7747,7748,7749,7750,7751,7752,7753,7754,7755,7756~~ ,7757,7758,7759,7760,7761,7762,7763,7764,7765,7766,7767,7768,7769,7770~~ ,7771,7772,7773,7774,7775,7776,7777,7778,7779,7780,7781,7782,7783,7784~~ ,7785,7786,7787,7788,7789,7790,7791,7792,7793,7794,7795,7796,7797,7798~~ ,7799,7800,7801,7802,7803,7804,7805,7806,7807,7808,7809,7810,7811,7812~~ ,7813,7814,7815,7816,7817,7818,7819,7820,7821,7822,7823,7824,7825,7826~~ ,7827,7828,7829,7830,7831,7832,7833,7834,7835,7836,7837,7838,7839,7840~~ ,7841,7842,7843,7844,7845,7846,7847,7848,7849,7850,7851,7852,7853,7854~~ ,7855,7856,7857,7858,7859,7860,7861,7862,7863,7864,7865,7866,7867,7868~~ ,7869,7870,7871,7872,7873,7874,7875,7876,7877,7878,7879,7880,7881,7882~~ ,7883,7884,7885,7886,7887,7888,7889,7890,7891,7892,7893,7894,7895,7896~~ ,7897,7898,7899,7900,7901,7902,7903,7904,7905,7906,7907,7908,7909,7910~~ ,7911,7912,7913,7914,7915,7916,7917,7918,7919,7920,7921,7922,7923,7924~~ ,7925,7926,7927,7928,7929,7930,7931,7932,7933,7934,7935,7936,7937,7938~~ ,7939,7940,7941,7942,7943,7944,7945,7946,7947,7948,7949,7950,7951,7952~~ ,7953,7954,7955,7956,7957,7958,7959,7960,7961,7962,7963,7964,7965,7966~~ ,7967,7968,7969,7970,7971,7972,7973,7974,7975,7976,7977,7978,7979,7980~~ ,7981,7982,7983,7984,7985,7986,7987,7988,7989,7990,7991,7992,7993,7994~~ ,7995,7996,7997,7998,7999,8000,8001,8002,8003,8004,8005,8006,8007,8008~~ ,8009,8010,8011,8012,8013,8014,8015,8016,8017,8018,8019,8020,8021,8022~~ ,8023,8024,8025,8026,8027,8028,8029,8030,8031,8032,8033,8034,8035,8036~~ ,8037,8038,8039,8040,8041,8042,8043,8044,8045,8046,8047,8048,8049,8050~~ ,8051,8052,8053,8054,8055,8056,8057,8058,8059,8060,8061,8062,8063,8064~~ ,8065,8066,8067,8068,8069,8070,8071,8072,8073,8074,8075,8076,8077,8078~~ ,8079,8080,8081,8082,8083,8084,8085,8086,8087,8088,8089,8090,8091,8092~~ ,8093,8094,8095,8096,8097,8098,8099,8100,8101,8102,8103,8104,8105,8106~~ ,8107,8108,8109,8110,8111,8112,8113,8114,8115,8116,8117,8118,8119,8120~~ ,8121,8122,8123,8124,8125,8126,8127,8128,8129,8130,8131,8132,8133,8134~~ ,8135,8136,8137,8138,8139,8140,8141,8142,8143,8144,8145,8146,8147,8148~~ ,8149,8150,8151,8152,8153,8154,8155,8156,8157,8158,8159,8160,8161,8162~~ ,8163,8164,8165,8166,8167,8168,8169,8170,8171,8172,8173,8174,8175,8176~~ ,8177,8178,8179,8180,8181,8182,8183,8184,8185,8186,8187,8188,8189,8190~~ ,8191,8192,8193,8194,8195,8196,8197,8198,8199,8200,8201,8202,8203,8204~~ ,8205,8206,8207,8208,8209,8210,8211,8212,8213,8214,8215,8216,8217,8218~~ ,8219,8220,8221,8222,8223,8224,8225,8226,8227,8228,8229,8230,8231,8232~~ ,8233,8234,8235,8236,8237,8238,8239,8240,8241,8242,8243,8244,8245,8246~~ ,8247,8248,8249,8250,8251,8252,8253,8254,8255,8256,8257,8258,8259,8260~~ ,8261,8262,8263,8264,8265,8266,8267,8268,8269,8270,8271,8272,8273,8274~~ ,8275,8276,8277,8278,8279,8280,8281,8282,8283,8284,8285,8286,8287,8288~~ ,8289,8290,8291,8292,8293,8294,8295,8296,8297,8298,8299,8300,8301,8302~~ ,8303,8304,8305,8306,8307,8308,8309,8310,8311,8312,8313,8314,8315,8316~~ ,8317,8318,8319,8320,8321,8322,8323,8324,8325,8326,8327,8328,8329,8330~~ ,8331,8332,8333,8334,8335,8336,8337,8338,8339,8340,8341,8342,8343,8344~~ ,8345,8346,8347,8348,8349,8350,8351,8352,8353,8354,8355,8356,8357,8358~~ ,8359,8360,8361,8362,8363,8364,8365,8366,8367,8368,8369,8370,8371,8372~~ ,8373,8374,8375,8376,8377,8378,8379,8380,8381,8382,8383,8384,8385,8386~~ ,8387,8388,8389,8390,8391,8392,8393,8394,8395,8396,8397,8398,8399,8400~~ ,8401,8402,8403,8404,8405,8406,8407,8408,8409,8410,8411,8412,8413,8414~~ ,8415,8416,8417,8418,8419,8420,8421,8422,8423,8424,8425,8426,8427,8428~~ ,8429,8430,8431,8432,8433,8434,8435,8436,8437,8438,8439,8440,8441,8442~~ ,8443,8444,8445,8446,8447,8448,8449,8450,8451,8452,8453,8454,8455,8456~~ ,8457,8458,8459,8460,8461,8462,8463,8464,8465,8466,8467,8468,8469,8470~~ ,8471,8472,8473,8474,8475,8476,8477,8478,8479,8480,8481,8482,8483,8484~~ ,8485,8486,8487,8488,8489,8490,8491,8492,8493,8494,8495,8496,8497,8498~~ ,8499,8500,8501,8502,8503,8504,8505,8506,8507,8508,8509,8510,8511,8512~~ ,8513,8514,8515,8516,8517,8518,8519,8520,8521,8522,8523,8524,8525,8526~~ ,8527,8528,8529,8530,8531,8532,8533,8534,8535,8536,8537,8538,8539,8540~~ ,8541,8542,8543,8544,8545,8546,8547,8548,8549,8550,8551,8552,8553,8554~~ ,8555,8556,8557,8558,8559,8560,8561,8562,8563,8564,8565,8566,8567,8568~~ ,8569,8570,8571,8572,8573,8574,8575,8576,8577,8578,8579,8580,8581,8582~~ ,8583,8584,8585,8586,8587,8588,8589,8590,8591,8592,8593,8594,8595,8596~~ ,8597,8598,8599,8600,8601,8602,8603,8604,8605,8606,8607,8608,8609,8610~~ ,8611,8612,8613,8614,8615,8616,8617,8618,8619,8620,8621,8622,8623,8624~~ ,8625,8626,8627,8628,8629,8630,8631,8632,8633,8634,8635,8636,8637,8638~~ ,8639,8640,8641,8642,8643,8644,8645,8646,8647,8648,8649,8650,8651,8652~~ ,8653,8654,8655,8656,8657,8658,8659,8660,8661,8662,8663,8664,8665,8666~~ ,8667,8668,8669,8670,8671,8672,8673,8674,8675,8676,8677,8678,8679,8680~~ ,8681,8682,8683,8684,8685,8686,8687,8688,8689,8690,8691,8692,8693,8694~~ ,8695,8696,8697,8698,8699,8700,8701,8702,8703,8704,8705,8706,8707,8708~~ ,8709,8710,8711,8712,8713,8714,8715,8716,8717,8718,8719,8720,8721,8722~~ ,8723,8724,8725,8726,8727,8728,8729,8730,8731,8732,8733,8734,8735,8736~~ ,8737,8738,8739,8740,8741,8742,8743,8744,8745,8746,8747,8748,8749,8750~~ ,8751,8752,8753,8754,8755,8756,8757,8758,8759,8760,8761,8762,8763,8764~~ ,8765,8766,8767,8768,8769,8770,8771,8772,8773,8774,8775,8776,8777,8778~~ ,8779,8780,8781,8782,8783,8784,8785,8786,8787,8788,8789,8790,8791,8792~~ ,8793,8794,8795,8796,8797,8798,8799,8800,8801,8802,8803,8804,8805,8806~~ ,8807,8808,8809,8810,8811,8812,8813,8814,8815,8816,8817,8818,8819,8820~~ ,8821,8822,8823,8824,8825,8826,8827,8828,8829,8830,8831,8832,8833,8834~~ ,8835,8836,8837,8838,8839,8840,8841,8842,8843,8844,8845,8846,8847,8848~~ ,8849,8850,8851,8852,8853,8854,8855,8856,8857,8858,8859,8860,8861,8862~~ ,8863,8864,8865,8866,8867,8868,8869,8870,8871,8872,8873,8874,8875,8876~~ ,8877,8878,8879,8880,8881,8882,8883,8884,8885,8886,8887,8888,8889,8890~~ ,8891,8892,8893,8894,8895,8896,8897,8898,8899,8900,8901,8902,8903,8904~~ ,8905,8906,8907,8908,8909,8910,8911,8912,8913,8914,8915,8916,8917,8918~~ ,8919,8920,8921,8922,8923,8924,8925,8926,8927,8928,8929,8930,8931,8932~~ ,8933,8934,8935,8936,8937,8938,8939,8940,8941,8942,8943,8944,8945,8946~~ ,8947,8948,8949,8950,8951,8952,8953,8954,8955,8956,8957,8958,8959,8960~~ ,8961,8962,8963,8964,8965,8966,8967,8968,8969,8970,8971,8972,8973,8974~~ ,8975,8976,8977,8978,8979,8980,8981,8982,8983,8984,8985,8986,8987,8988~~ ,8989,8990,8991,8992,8993,8994,8995,8996,8997,8998,8999,9000,9001,9002~~ ,9003,9004,9005,9006,9007,9008,9009,9010,9011,9012,9013,9014,9015,9016~~ ,9017,9018,9019,9020,9021,9022,9023,9024,9025,9026,9027,9028,9029,9030~~ ,9031,9032,9033,9034,9035,9036,9037,9038,9039,9040,9041,9042,9043,9044~~ ,9045,9046,9047,9048,9049,9050,9051,9052,9053,9054,9055,9056,9057,9058~~ ,9059,9060,9061,9062,9063,9064,9065,9066,9067,9068,9069,9070,9071,9072~~ ,9073,9074,9075,9076,9077,9078,9079,9080,9081,9082,9083,9084,9085,9086~~ ,9087,9088,9089,9090,9091,9092,9093,9094,9095,9096,9097,9098,9099,9100~~ ,9101,9102,9103,9104,9105,9106,9107,9108,9109,9110,9111,9112,9113,9114~~ ,9115,9116,9117,9118,9119,9120,9121,9122,9123,9124,9125,9126,9127,9128~~ ,9129,9130,9131,9132,9133,9134,9135,9136,9137,9138,9139,9140,9141,9142~~ ,9143,9144,9145,9146,9147,9148,9149,9150,9151,9152,9153,9154,9155,9156~~ ,9157,9158,9159,9160,9161,9162,9163,9164,9165,9166,9167,9168,9169,9170~~ ,9171,9172,9173,9174,9175,9176,9177,9178,9179,9180,9181,9182,9183,9184~~ ,9185,9186,9187,9188,9189,9190,9191,9192,9193,9194,9195,9196,9197,9198~~ ,9199,9200,9201,9202,9203,9204,9205,9206,9207,9208,9209,9210,9211,9212~~ ,9213,9214,9215,9216,9217,9218,9219,9220,9221,9222,9223,9224,9225,9226~~ ,9227,9228,9229,9230,9231,9232,9233,9234,9235,9236,9237,9238,9239,9240~~ ,9241,9242,9243,9244,9245,9246,9247,9248,9249,9250,9251,9252,9253,9254~~ ,9255,9256,9257,9258,9259,9260,9261,9262,9263,9264,9265,9266,9267,9268~~ ,9269,9270,9271,9272,9273,9274,9275,9276,9277,9278,9279,9280,9281,9282~~ ,9283,9284,9285,9286,9287,9288,9289,9290,9291,9292,9293,9294,9295,9296~~ ,9297,9298,9299,9300,9301,9302,9303,9304,9305,9306,9307,9308,9309,9310~~ ,9311,9312,9313,9314,9315,9316,9317,9318,9319,9320,9321,9322,9323,9324~~ ,9325,9326,9327,9328,9329,9330,9331,9332,9333,9334,9335,9336,9337,9338~~ ,9339,9340,9341,9342,9343,9344,9345,9346,9347,9348,9349,9350,9351,9352~~ ,9353,9354,9355,9356,9357,9358,9359,9360,9361,9362,9363,9364,9365,9366~~ ,9367,9368,9369,9370,9371,9372,9373,9374,9375,9376,9377,9378,9379,9380~~ ,9381,9382,9383,9384,9385,9386,9387,9388,9389,9390,9391,9392,9393,9394~~ ,9395,9396,9397,9398,9399,9400,9401,9402,9403,9404,9405,9406,9407,9408~~ ,9409,9410,9411,9412,9413,9414,9415,9416,9417,9418,9419,9420,9421,9422~~ ,9423,9424,9425,9426,9427,9428,9429,9430,9431,9432,9433,9434,9435,9436~~ ,9437,9438,9439,9440,9441,9442,9443,9444,9445,9446,9447,9448,9449,9450~~ ,9451,9452,9453,9454,9455,9456,9457,9458,9459,9460,9461,9462,9463,9464~~ ,9465,9466,9467,9468,9469,9470,9471,9472,9473,9474,9475,9476,9477,9478~~ ,9479,9480,9481,9482,9483,9484,9485,9486,9487,9488,9489,9490,9491,9492~~ ,9493,9494,9495,9496,9497,9498,9499,9500,9501,9502,9503,9504,9505,9506~~ ,9507,9508,9509,9510,9511,9512,9513,9514,9515,9516,9517,9518,9519,9520~~ ,9521,9522,9523,9524,9525,9526,9527,9528,9529,9530,9531,9532,9533,9534~~ ,9535,9536,9537,9538,9539,9540,9541,9542,9543,9544,9545,9546,9547,9548~~ ,9549,9550,9551,9552,9553,9554,9555,9556,9557,9558,9559,9560,9561,9562~~ ,9563,9564,9565,9566,9567,9568,9569,9570,9571,9572,9573,9574,9575,9576~~ ,9577,9578,9579,9580,9581,9582,9583,9584,9585,9586,9587,9588,9589,9590~~ ,9591,9592,9593,9594,9595,9596,9597,9598,9599,9600,9601,9602,9603,9604~~ ,9605,9606,9607,9608,9609,9610,9611,9612,9613,9614,9615,9616,9617,9618~~ ,9619,9620,9621,9622,9623,9624,9625,9626,9627,9628,9629,9630,9631,9632~~ ,9633,9634,9635,9636,9637,9638,9639,9640,9641,9642,9643,9644,9645,9646~~ ,9647,9648,9649,9650,9651,9652,9653,9654,9655,9656,9657,9658,9659,9660~~ ,9661,9662,9663,9664,9665,9666,9667,9668,9669,9670,9671,9672,9673,9674~~ ,9675,9676,9677,9678,9679,9680,9681,9682,9683,9684,9685,9686,9687,9688~~ ,9689,9690,9691,9692,9693,9694,9695,9696,9697,9698,9699,9700,9701,9702~~ ,9703,9704,9705,9706,9707,9708,9709,9710,9711,9712,9713,9714,9715,9716~~ ,9717,9718,9719,9720,9721,9722,9723,9724,9725,9726,9727,9728,9729,9730~~ ,9731,9732,9733,9734,9735,9736,9737,9738,9739,9740,9741,9742,9743,9744~~ ,9745,9746,9747,9748,9749,9750,9751,9752,9753,9754,9755,9756,9757,9758~~ ,9759,9760,9761,9762,9763,9764,9765,9766,9767,9768,9769,9770,9771,9772~~ ,9773,9774,9775,9776,9777,9778,9779,9780,9781,9782,9783,9784,9785,9786~~ ,9787,9788,9789,9790,9791,9792,9793,9794,9795,9796,9797,9798,9799,9800~~ ,9801,9802,9803,9804,9805,9806,9807,9808,9809,9810,9811,9812,9813,9814~~ ,9815,9816,9817,9818,9819,9820,9821,9822,9823,9824,9825,9826,9827,9828~~ ,9829,9830,9831,9832,9833,9834,9835,9836,9837,9838,9839,9840,9841,9842~~ ,9843,9844,9845,9846,9847,9848,9849,9850,9851,9852,9853,9854,9855,9856~~ ,9857,9858,9859,9860,9861,9862,9863,9864,9865,9866,9867,9868,9869,9870~~ ,9871,9872,9873,9874,9875,9876,9877,9878,9879,9880,9881,9882,9883,9884~~ ,9885,9886,9887,9888,9889,9890,9891,9892,9893,9894,9895,9896,9897,9898~~ ,9899,9900,9901,9902,9903,9904,9905,9906,9907,9908,9909,9910,9911,9912~~ ,9913,9914,9915,9916,9917,9918,9919,9920,9921,9922,9923,9924,9925,9926~~ ,9927,9928,9929,9930,9931,9932,9933,9934,9935,9936,9937,9938,9939,9940~~ ,9941,9942,9943,9944,9945,9946,9947,9948,9949,9950,9951,9952,9953,9954~~ ,9955,9956,9957,9958,9959,9960,9961,9962,9963,9964,9965,9966,9967,9968~~ ,9969,9970,9971,9972,9973,9974,9975,9976,9977,9978,9979,9980,9981,9982~~ ,9983,9984,9985,9986,9987,9988,9989,9990,9991,9992,9993,9994,9995,9996~~ ,9997,9998,9999,10K]} Typechecking := 0 Checking := 1 Graphwindows := 6 Randomseed := 13 Showundef := 0 Showhier := 1 Saveoptions := 2 Savevalues := 0 Diststeps := 1 Naming := 0 Allwarnings := 0 {!40000|Att_catlinestyle Graph_primary_valdim: 4} {!40000|Att_graphvaluerange Graph_pdf_valdim: 1,0,0,1,,,,0,40} {!40000|Att_contlinestyle Graph_pdf_valdim: 6} Attribute Reference Attribute Url Attribute Premises Attribute Deduction Attribute Log Askattribute Recursive,Function,Yes Askattribute Reference,Function,Yes Askattribute Url,Function,Yes Askattribute Log,Function,Yes Askattribute Reference,Module,Yes Askattribute Url,Module,Yes Askattribute Log,Module,Yes Askattribute Value,Variable,Yes Askattribute Check,Variable,Yes Askattribute Balloonhelp,Variable,Yes Askattribute Reference,Variable,Yes Askattribute Url,Variable,Yes Askattribute Log,Variable,Yes Model Mehgvsn3 Title: MeHgvsomega3 Description: This model calculates the risk of methylmercury exposure ~~ and benefti of omega-3 exposure to children's IQdue to Finnish fish c~~ onsmption. Here are also some suggestions of what should be the focus~~ of the manuscript. Author: Olli Leino Date: Mon, Mar 26, 2001 14:02 Saveauthor: olex Savedate: Mon, Jan 18, 2010 3:39 PM Defaultsize: 48,24 Diagstate: 1,757,0,718,669,17 Fontstyle: Arial, 13 Fileinfo: 0,Model Mehgvsn3,2,2,0,0,N:\YEP\publications\In_progress\Lei~~ no_MeHg vs DHA\MeHgvsOmega-3\mallit\Mercury_vs_omega-3_2010.ANA Att__diagramprintsca: 87,1,1,0,2,1,6533,8533,1 Reference: Leino O. Module Help1 Title: Help for pyrkilo diagrams Description: 28.6.2004 Jouni Tuomisto~ This module contains brief description about pyrkilo diagram method i~~ n Analytica platform. There are explanations for node usage and colou~~ rs. Version 5, 28.6.2004. Copyright KTL (National Public Health Insti~~ tute, Finland). Author: mtad Date: 16. Aprta 2003 12:56 Saveauthor: jtue Savedate: 29. Junta 2004 10:55 Defaultsize: 48,24 Nodelocation: 624,40,0 Nodesize: 48,29 Nodeinfo: 1,1,1,1,1,1,0,0,0,0 Diagstate: 1,331,284,866,552,17 Nodecolor: 19661,33649,65535 Fontstyle: Arial, 13 Att__diagramprintsca: 81,1,1,0,2,9,4744,6798,7 Variable Original_data_3r1b Title: Original data 3R1B Description: Contains data that comes from a referrable source. The re~~ ference must be mentioned in the Reference attribute. Colour 3R1B. Definition: 1 Nodelocation: 168,336,1 Nodesize: 48,24 Windstate: 2,102,90,476,516 Nodecolor: 65535,52427,65534 Variable Author_judgement_4r2 Title: Author judgement 4R2B Description: Contains data that comes from a non-referrable source, i.~~ e. some general knowledge or author judgement. Colour 4R2B. Definition: 1 Nodelocation: 168,392,1 Nodesize: 48,24 Nodecolor: 52425,39321,65535 Variable Log_file_4l3b Title: Log 4L3B Description: Contains information about general issues related to the ~~ structure and content of a model. Text is written to Description. Eac~~ h addition is started with the date and the name of the user. The tit~~ le of the node is Loki n or Log n (n=version number of the model). Yo~~ u should not write information related to a particular node, that sho~~ uld be written in the node itself so that the information will be inh~~ erited with the node. Colour 4L3B. Definition: 1 Nodelocation: 56,464,1 Nodesize: 48,12 Nodecolor: 65535,54067,19661 Constant Argument_ Title: Argument (claim) 2L3B Description: Argument about a node, data, or relationship in a model;~~ or a description of its importance. Colour: automatic (2L3B). Definition: 1 Nodelocation: 280,280,1 Nodesize: 48,24 Nodecolor: 65535,31131,19661 Variable Causal_node_8r3b Title: Causal node 8R3B Description: This is the basic building block of an Analytica model. I~~ t is a variable that defines a (typically) measurable entity. Usually~~ it is calculated based on data on and relationships about its causes~~ . Definition: 1 Nodelocation: 168,280,1 Nodesize: 48,24 Module Model_6r3b Title: Module~ 6R3B Description: Modules are used to create a hierarchical structure. Modu~~ les may contain nodes and other modules inside them. Author: mtad Date: 16. Aprta 2003 12:56 Defaultsize: 48,24 Nodelocation: 56,416,1 Nodesize: 48,24 Diagstate: 1,40,0,505,406,17 Close Model_6r3b Constant Comment_6l3b Title: Conclusion~ 6L3B Description: A conclusion is basically an argument. The colour is used~~ to enhance the fact that the data for this argument originates from ~~ the results of the model. Colour 6L3B. Definition: 1 Nodelocation: 280,392,1 Nodesize: 48,24 Windstate: 2,44,90,476,224 Nodecolor: 65535,65532,19661 Index Index_5r2b Title: Index 5R2B Description: Index related to the node beside it. Indexes should be as~~ close as possible to the place where they are used. Otherwise there ~~ is the risk of a connection brake. Colour: automatic (5R2B). Definition: [0] Nodelocation: 56,316,1 Nodesize: 48,12 Windstate: 2,341,157,476,224 Text Te1 Description: Colour description: xLyT describes the coordinates in the~~ colour palette, xth cell from left and yth cell from top. Directions~~ are L left, R right, T top, B bottom, e.g. 1R1B is the right bottom ~~ cell. Nodelocation: 464,312,-1 Nodesize: 112,56 Decision Decision_9l3b Title: Decision~ 9L3B Description: Decision mode defines a decision under analysis. Other de~~ cisions (such as those decided by someone else) can be defined as unc~~ ertain variables instead of decisions. Definition: 0 Nodelocation: 56,280,1 Nodesize: 48,24 Objective Outcome_1r3b Title: Outcome~ 1R3B Description: Outcome of interest. The optimisation of this variable is~~ often defined as the criteria for choosing between decision options.~~ Definition: 0 Nodelocation: 56,360,1 Nodesize: 48,24 Chance Chance_11l4b Title: Chance~ 11L4B Description: An uncertain variable that is defined as a probability di~~ stribution. Definition: 0 Nodelocation: 168,448,1 Nodesize: 48,24 Constant Read_about_attribute Title: Read about attributes Description: This node describes the use of attributes. All attributes~~ should be used as described in the manuals of Analytica. Exceptions ~~ are described here. This description is written for those who read as~~ well as for those who write pyrkilo diagrams.~ ~ Class: Shows the type of the node. Some of the variable classes have ~~ a special meaning in pyrkilo diagrams. These are presented in Help fo~~ r pyrkilo diagrams module.~ ~ Identifier: Name of the node that is used in definitions. This must b~~ e unique. When drafting a model, use automatic identifiers. Only when~~ there is no expectation of many changes in node Titles, you can stre~~ amline all identifiers. Try to use short names and the same structure~~ as in the Title. E.g. if title is Long-range transport, use identifi~~ er Lrt.~ ~ Units: The unit of the value calculated in the node. Should always be~~ defined when the node is a part of causal diagram. If the variable d~~ escribed by the node is dimensionless, '-' should be used. If an expl~~ icit unit is not (yet) defined, a description about how the variable ~~ could be measured should be used. E.g. 'mass', 'rate', 'age'.~ ~ Title: The title that is shown on the node in diagram mode. First use~~ a working name that roughly describes the contents. After your model~~ is stabilised, you can rename nodes to better represent the final es~~ sence. Try to avoid intermediate nodes where it is difficult to under~~ stand what the outcome means; instead, combine consequent nodes so th~~ at the outcome is an understandable (measurable) variable.~ ~ Description: A free-text area for describing the contents of the node~~ . All nodes should be explicitly described and justified in the Descr~~ iption so that a user is able to get an idea of the node without look~~ ing at the Definition. If the definiton changes remarkably between ve~~ rsions, it is good to describe this and use dates and user's name for~~ clarity (in a similar manner as in Log nodes).~ ~ Definition: This defines what is calculated in this node. If the node~~ is a non-numerical argument, it should contain a formula that refers~~ to all nodes that are used to justify the claim; it this case, the n~~ umerical result will be nonsense. Pay attention to indexes: all impo~~ rtant indexes must be included, but try to work with as few as possib~~ le. Use the ';' operator to chop the syntax into pieces.~ ~ Check: Criteria to check the values entered.~ ~ Reference: This contains a detailed information about the source of t~~ he data. The article or book should be found with this data. When bui~~ lding a model, there should be an accompanying RefMan file with the s~~ ame name but a different extension. This file contains the full infor~~ mation about each reference cited in the model. The name and path of ~~ the RefMan file must be mentioned in the Reference of the model. If t~~ here is a relevant internet page or a network file, its path can be a~~ dded here. Analytica 3.0 understands html-code and makes these links ~~ clickable. E.g. this is a link to the L~~ umina home page. You can download Analytica Player from there to ~~ browse these models. Definition: 0 Nodelocation: 736,272,1 Nodesize: 48,24 Windstate: 2,236,80,581,552 Module Argument_structure Title: Argument structure Author: mtad Date: 30. Aprta 2003 10:22 Saveauthor: jtue Savedate: 7. Mayta 2003 10:26 Defaultsize: 48,24 Nodelocation: 736,416,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,0,0,0 Diagstate: 1,14,10,934,679,17 Fontstyle: Arial, 13 Att__diagramprintsca: 79,1,1,0,2,9,4744,6798,7 Variable D_ Title: D (data)~ Lähtötiedot Definition: 0 Nodelocation: 56,448,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,0, Nodecolor: 65535,52427,65534 Variable B_ Title: B (backing)~ Taustatuki Definition: 0 Nodelocation: 160,576,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,0, Nodecolor: 65535,52427,65534 Variable R_ Title: R (rebuttals)~ Varaukset Definition: 0 Nodelocation: 160,392,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,0, Nodecolor: 65535,52427,65534 Determ Q_ Title: Q (qualifier)~ Tarkennus Definition: D_+R_+W_ Nodelocation: 160,448,1 Nodesize: 48,24 Windstate: 2,102,90,476,507 Variable W_ Title: W (warrant)~ Peruste Definition: B_ Nodelocation: 160,512,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,0, Windstate: 2,102,90,476,224 Nodecolor: 65535,52427,65534 Constant C_ Title: C (claim)~ Johtopäätös Definition: Q_+Model_variable Nodelocation: 264,448,1 Nodesize: 48,24 Variable D__hoek_et_al_2002__ Title: D: Hoek et al 2002: association between traffic vicinity & mort~~ ality Definition: 0 Nodelocation: 552,424,1 Nodesize: 64,40 Nodecolor: 65535,52427,65534 Variable B__greenland__cohort Title: B: Greenland: Cohort study is the best design in observational ~~ epi Definition: 0 Nodelocation: 680,576,1 Nodesize: 64,38 Nodecolor: 65535,52427,65534 Variable R__if_the_effect_was Title: R: if the effect was due to PM Definition: 0 Nodelocation: 680,352,1 Nodesize: 48,28 Nodecolor: 49151,49151,49151 Determ Q__therefore_probabl Title: Q: therefore probably Definition: D__hoek_et_al_2002__+R__if_the_effect_was+W__design_was_ap~~ prop Nodelocation: 680,424,1 Nodesize: 48,24 Nodecolor: 19661,48336,65535 Constant W__design_was_approp Title: W: Design was appropriate Definition: B__greenland__cohort Nodelocation: 680,488,1 Nodesize: 52,24 Nodecolor: 65535,31131,19661 Constant C__traffic_pm_increa Title: C: Traffic PM increases cardiopulm mortality Description: Hoek et al (Lancet 2002) found out in a cohort study that~~ a higway near home was a risk factor for overall and cardiopulmonary~~ mortality. The study was well designed and performed, and the result~~ s are convincing, althought the risk estimates were large. However, t~~ he exposure estimation was based on the vicinity of a major road and ~~ black smoke and nitric dioxide ambient concentrations. The current kn~~ owledge tends to associate especially fine particles (PM) with cardio~~ pulmonary mortality, and in this study the exposure measure clearly w~~ as an indicator of traffic-related PM. However, other explanations ex~~ ist as well, and e.g. noise was not ruled out as a confounder.~ Taken together, the study increases the plausibility of PM being caus~~ ally linked to cardiopulmonary mortality. Definition: Q__therefore_probabl+Pm_plausibility Nodelocation: 792,424,1 Nodesize: 48,40 Windstate: 2,412,106,476,224 Nodecolor: 65535,31131,19661 Variable D__harry_is_born_in_ Title: D: Harry is born in Bermuda Definition: 0 Nodelocation: 576,136,1 Nodesize: 48,28 Nodecolor: 52425,39321,65535 Variable W__because_b__those_ Title: W: because~ B: those born in Bermuda are citizens of Great Britain Definition: 0 Nodelocation: 688,232,1 Nodesize: 48,55 Nodecolor: 65535,52427,65534 Variable R__unless_harry_was_ Title: R: unless Harry was born during a holiday trip Definition: 0 Nodelocation: 688,56,1 Nodesize: 48,38 Nodecolor: 49151,49151,49151 Determ Q__therefore_certain Title: Q: therefore certainly Definition: D__harry_is_born_in_+R__unless_harry_was_+W__because_b__th~~ ose_ Nodelocation: 688,136,1 Nodesize: 48,29 Windstate: 1,0,-23 Nodecolor: 19661,48336,65535 Constant C__harry_is_a_citize Title: C: Harry is a citizen of GB Definition: Q__therefore_certain Nodelocation: 800,136,1 Nodesize: 48,24 Nodecolor: 65535,31131,19661 Variable Pm_plausibility Title: PM plausibility Units: probability Definition: 0.9 Nodelocation: 904,424,1 Nodesize: 48,24 Windstate: 2,102,90,476,224 Nodecolor: 52425,39321,65535 Variable Model_variable Title: Model variable Definition: 0 Nodelocation: 376,448,1 Nodesize: 48,24 Nodecolor: 19661,48336,65535 Text Te3 Description: Here we show how to describe a complicated reasoning sta~~ rting with different kinds of data and ending up with a claim. This f~~ ollows the ideas of Stephen Toulmin (Uses of Argument, Cambridge Univ~~ ersity Press, 1958). In a simple case or drafting phase it is enough ~~ to create an argument by joining a piece of data to the claim. A clai~~ m node is often called an Argument node, but it should be remembered,~~ that a full argument includes the reasoning in addition to the outco~~ me. Instead of using several nodes to describe the reasoning, as is d~~ one here, it is often convenient to write it down inside the argument~~ node, in description attribute (see 'C: Traffic PM increases cardiop~~ ulm mortality'). Note that the arrows usually point from the model to~~ the claim. The logic of this is that the model is seen as a descript~~ ion of reality. And the reality affects the claim, not vice versa.~ ~ - Data (D) or premises describes the information that supports the cl~~ aim.~ - Warrant (W) makes the argument from data to claim a legitimate one.~~ Often it is not explicitly mentioned in discussion, but it should be~~ described in a pyrkilo unless it is obvious.~ - Backing (B) contains some background information needed for warrant~~ , and often it is practical to combine these two.~ - Qualifier (Q) describes the strength of the argument.~ - Rebuttal (R) defines the scope when the argument is valid. Nodelocation: 256,180,-1 Nodesize: 248,172 Close Argument_structure Module Less_important_node_ Title: Less important node types Author: jtue Date: 28. Junta 2004 18:03 Defaultsize: 48,24 Nodelocation: 736,480,1 Nodesize: 48,29 Diagstate: 1,257,40,510,515,17 Module Set_module_ Title: Set~ 9L3T Description: The set module is used as a set containing items, such as~~ a set of emission sources summing up to the total emission. However,~~ it is not possible to refer to a module. Therefore a set node is use~~ d instead of the module for refering in the model. If there are items~~ that belong to several sets, aliases are created and placed in each ~~ set module. A set node is located in the respective set module. Colou~~ r 9L3T. Author: jtue Date: 30. Octta 2003 10:34 Defaultsize: 48,24 Nodelocation: 56,144,1 Nodesize: 48,24 Diagstate: 1,60,78,398,477,17 Nodecolor: 1,52427,26212 Variable Set_9l3t Title: Set~ 9L3T Description: This node is like an alias to a set module. The set modul~~ e is used as a set containing items, but it is not possible to refer ~~ to a module. Therefore a set node is created, and it is used instead ~~ of the module for refering in the model.~ If there are items that belong to several sets, aliases are created a~~ nd placed in each set. Set node is located in the respective set modu~~ le. Colour 9L3T. Definition: Item1+Item2+Item3+Item4+Item5 Nodelocation: 48,24,1 Nodesize: 48,24 Windstate: 1,724,97 Nodecolor: 1,52427,26212 Variable Item5 Title: Item5 Description: This is one item belonging to the set 'Set'. Definition: 0 Nodelocation: 168,24,1 Nodesize: 48,24 Variable Item1 Title: Item1 Description: This is one item belonging to the set 'Set'. Definition: 0 Nodelocation: 168,248,1 Nodesize: 48,24 Variable Item2 Title: Item2 Description: This is one item belonging to the set 'Set'. Definition: 0 Nodelocation: 168,192,1 Nodesize: 48,24 Variable Item3 Title: Item3 Description: This is one item belonging to the set 'Set'. Definition: 0 Nodelocation: 168,136,1 Nodesize: 48,24 Variable Item4 Title: Item4 Description: This is one item belonging to the set 'Set'. Definition: 0 Nodelocation: 168,80,1 Nodesize: 48,24 Close Set_module_ Variable Model_place__holder_ Title: Model place- holder 7L2B Description: Shows that there is a need for a model, but it is not yet~~ defined explicitly. Colour 7L2B. Model prototype has the same meanin~~ g, either can be used depending on whether a node or a module is more~~ convenient. Colour 7L2B. Definition: 1 Nodelocation: 56,88,1 Nodesize: 48,24 Nodecolor: 52429,65535,39321 Module Model_prototype Title: Model prototype Description: Shows that there is a need for a model, but it is not yet~~ defined explicitly. Colour 7L2B. Placeholder for a model has the sam~~ e meaning, either can be used depending on whether a node or a module~~ is more convenient. Colour 7L2B. Author: mtad Date: 16. Aprta 2003 12:56 Defaultsize: 48,24 Nodelocation: 56,32,1 Nodesize: 48,24 Nodecolor: 52429,65535,39321 Close Model_prototype Variable Question__lack_of_kn Title: Question, Lack of information 5R1T Description: A question or a lack of knowledge. An item that would be ~~ important in a model, but there is no information about its value and~~ it cannot therefore be used in calculations. Colour: 5R1T. Definition: 0 Nodelocation: 56,272,1 Nodesize: 52,28 Nodecolor: 49151,49151,49151 Constant Constant1 Title: Constant Description: Note: colour depends on the source of information and can~~ be that of original data, author judgement or causal node. Do NOT us~~ e the automatic colour (L2B3), because it is reserved for the argumen~~ t. Definition: 0 Nodelocation: 168,256,1 Nodesize: 48,24 Nodecolor: 65535,52427,65534 Function Function_4r2b(param1) Title: Function 4R2B Definition: 0 Nodelocation: 168,32,1 Nodesize: 48,24 Paramnames: param1 Button Button_7r1t Title: Button~ 7R1T Description: Actually I don't know what can be done with buttons (Joun~~ i Tuomisto 29.10.2003). Nodelocation: 168,88,1 Nodesize: 48,24 Windstate: 2,356,138,476,224 Determ Q_1 Title: Q (qualifier)~ 8R3B Description: Shows the strength of an argument (or more precisely, the~~ strength of the data, warrant, and backing to support the argument).~~ There may be several pieces of data connected by several qualifiers ~~ to one argument (claim). Colour: automatic (8R3B). Definition: 0 Nodelocation: 168,144,1 Nodesize: 48,24 Determ Nuisance_parameter_7 Title: Nuisance parameter 7L1B Description: This is used to emphasize that there is a lack of knowled~~ ge about this variable, but the variable is still important for under~~ standing causality. In a well-built model, the nuisance parameters ar~~ e cancelled out before the outcome, so that they do not affect the re~~ sult given the data used. E.g., we may want to model the human exposu~~ re to traffic emissions. We have an estimate about the relative contr~~ ibutions of the most important sources to the exposure, but we don't ~~ have absolute values from fate and dispersion models. Therefore, when~~ we want to express causal connections, we must Definition: 0 Nodelocation: 56,208,1 Nodesize: 48,29 Nodecolor: 58981,65535,52427 Variable Non_causal_node_8r2b Title: Non-causal node 8R2B Description: Non-causal nodes are used when the relation between nodes~~ is not causal. Ice cream consumption and drowning accidents are corr~~ elated (at least in Finland). One is not a cause of the other, but bo~~ th are affected by the outside temperature during summer. Non-causal ~~ connections can be used in models for deducting values for one node ~~ when the other is known. A typical example of this is a top-down mode~~ l, where we may have information on 1) total concentration of a pollu~~ tant and 2) source contribution of certain emission sources (as a fra~~ ction of total concentration). The source contribution is not a causa~~ l variable, it is merely an index of all (unknown) causal variables, ~~ but it can be used to estimate the concentration caused by a particul~~ ar emission source. Definition: 0 Nodelocation: 168,200,1 Nodesize: 48,24 Windstate: 2,587,271,476,412 Nodecolor: 39321,55707,65535 Close Less_important_node_ Variable Log_3 Title: Log 3 Description: 29.10.2003 Jouni Tuomisto~ This is the third version of the Help model. Originally it was planne~~ d that it would habe been included in each model as a linked module, ~~ but soon it was found that the link caused much more trouble than ben~~ efit. It is therefore used as a stand alone model. However, it may be~~ a good idea to embed it into each model using Copy (not Link).~ N:\huippuyksikko\tutkimus\mallit\TainioTheUsesOfArgument.ana (7.5.200~~ 3) is closed and connected to this file in the module 'Argument struc~~ ure'. It is edited to reflect the current thinking about the argument~~ structure. Definition: 1 Nodelocation: 736,368,1 Nodesize: 48,12 Nodeinfo: 1,1,1,1,1,1,1,,0, Windstate: 2,433,83,476,398 Nodecolor: 65535,54067,19661 Nodefont: Arial, 13 Objective Preference_8l4b Title: Preference~ 8L4B Description: A value or preference. Colour 8L4B. Definition: 0 Nodelocation: 280,448,1 Nodesize: 48,24 Nodecolor: 5,65535,1 Text Introduction_to_pyrk Title: Introduction to pyrkilo diagrams Description: Pyrkilo diagram method (or structured deliberation as it ~~ is sometimes called) has been developed to facilitate the Science-Pol~~ icy Interface.~ There is a need for methods facilitating the flow of information and ~~ understanding between science and policy. The principle is to describ~~ e a risk situation in a formal manner. Pyrkilo is an enhanced causal ~~ diagram that contains items along a causal pathway (or network) from ~~ e.g. abatement strategies to emissions to dispersion to exposure to e~~ ffects. It has been designed to describe also other than causal conne~~ ctions such as non-causal reasoning, values, preferences, and argumen~~ ts.~ ~ These diagrams use Analytica(TM) platform, a graphical Monte Carlo si~~ mulation program. It is based on nodes (or variables or objects). The~~ y are used to describe and define all the pieces needed for a descrip~~ tion of the situation under scrutiny. ~ ~ Many nodes are used as described in Analytica manuals. However, there~~ are also special colours and shapes representing features that are i~~ mportant for pyrkilo diagrams. See Description of each node for more ~~ details. You can see the definitions and descriptions by clicking or ~~ double-clicking the nodes. Nodelocation: 408,124,-1 Nodesize: 400,116 Windstate: 2,402,92,530,558 Constant Read_more_about_pyrk Title: Read more about pyrkilo Description: Understanding of a particular risk develops simultaneousl~~ y at various levels and using differently structured methods. At one ~~ end there is a "discussion layer": political and public discussions a~~ bout risks of a hazard with a wide interest on e.g. economical conseq~~ uences of available decision options, public health, and social justi~~ fication equity. This discussion is sometimes poorly structured and d~~ oes not give scientists or risk assessors clear questions that could ~~ be answered by scientific methods. At the other end there is a "model~~ ling layer": models dealing with specific questions such as air conce~~ ntrations of a pollutant from a specific source or risk-benefit analy~~ ses of particular actions. The models are complex and use several ass~~ umptions that are not abvious to outsiders.~ ~ There is a need for methods facilitating the flow of information and ~~ understanding between the existing layers. Pyrkilo (from the Finnish ~~ word pyrkiä, to aim at) diagrams aim at offering an interface between~~ the two disciplines. The principle is to describe a risk situation i~~ n a formal manner. It is an enhanced causal diagram that contains ite~~ ms along the causal pathway (or network) from e.g. emissions to dispe~~ rsion to exposure to effects. It has been designed to describe also o~~ ther than causal connections such as values, preferences, and argumen~~ ts.~ ~ The pyrkilo method has several objecitves. The structure is relativel~~ y easily understandable and readable. It has a basic structure simila~~ r to but simpler than mathematical causal models. Translation into a ~~ natural language or mathematical model is relatively easy, as is requ~~ ired from an interface. The diagram is fast to build with little data~~ , and the critical parts of the diagram can subsequently be developed~~ into a full-scale model. It is easy to expand into new areas, as the~~ political discussion proceeds. Because of its structured and formal ~~ nature, it requires that many assumptions are made explicit unlike in~~ political rhetoric, and therefore it is easier to identify possibly ~~ illogical or conflicting issues. It can be used to explore the validi~~ ty or importance of an aspect before it is brought into the other dis~~ cipline of heavy modelling or political discourse.~ Definition: 0 Nodelocation: 736,328,1 Nodesize: 48,24 Windstate: 2,54,111,572,686 Constant Argument_1 Title: Scope~ 2L3B Description: A scope node is basically an argument. The bevel is used ~~ to enhance the fact that the argument is about the scope of the model~~ , (i.e. about the existence of a node or module). Colour: automatic (~~ 2L3B). Definition: 1 Nodelocation: 280,336,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,1, Nodecolor: 65535,31131,19661 Close Help1 Module Risks_from_farmed_an Title: Risk-benefit model Description: The model estimates the collateral effects of methylmercu~~ ry and DHA fatty acids on childs IQ. Source is Finnish fish consumpti~~ on. As methyl mercury and DHA fatty acids are mainly acquired from th~~ e same source (fish), studying collateral effects of these two substa~~ nces is warranted. Author: Jouni Tuomisto Date: 9. tamta 2004 20:14 Saveauthor: olex Savedate: 25. Augta 2005 16:34 Defaultsize: 48,24 Nodelocation: 64,40,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,0,0,0 Diagstate: 1,923,3,357,500,17 Fontstyle: Arial, 13 Att__diagramprintsca: 97,1,1,0,2,1,2794,4312,0 Outlinerstate: 2,40,9,450,712 Include 0,Linkmodule Fish_consumption,2,2,-32766,0,MeHgvsn-3_4.ANA Nodelocation Fish_consumption: 112,32,1 Nodesize Fish_consumption: 48,24 Module Dose_responses Title: Exposure responses Description: In this module you'll find the dose-responses of the meth~~ yl mercury and omega-3 fatty acids on IQ, Author: olex Date: Fri, Nov 24, 2006 8:48 AM Defaultsize: 48,24 Nodelocation: 112,320,1 Nodesize: 48,24 Diagstate: 1,1100,542,164,269,17 Module Erf_n3 Title: Exposure-~ response of DHA for IQ boost Description: Here we construct the dose-response of DHA based on liter~~ ature. Author: jtue Date: 12. Janta 2004 8:51 Defaultsize: 48,24 Nodelocation: 64,64,1 Nodesize: 48,48 Diagstate: 1,336,72,364,258,17 Constant Cohen___ Title: Cohen 2005b Description: The study estimates that increasing maternal docosahexaen~~ oic~ acid (DHA) intake by 100 mg/day increases child IQ by 0.13 points.~ ~ IQ Points per Gram per Day Increase Maternal~ DHA Intake During Pregnancy~ Our methodology implies that the impact on IQ of a~ 1-g/day increase in maternal DHA intake during pregnancy~ is equal to  multiplied by 18% to 39%. Hence,~ a 1-g/day increase in DHA intake during pregnancy will~ increase the child’s IQ by 0.8 to 1.8 points. For the~ purpose of this analysis, it is assumed that the arithmetic~ mean of these values (1.3 IQ points) represents~ the central estimate. Definition: Exprespdha Nodelocation: 48,144,1 Nodesize: 48,24 Windstate: 2,587,8,481,265 Reference: Cohen_et_al_2005b~ ~ Variable Exprespdha Title: Expresp DHA Units: IQ points/100mg n-3 Description: 1 g/day increase in DHA intake during pregnancy will~ increase the child’s IQ by 0.8 to 1.8 points. For the~ purpose of this analysis, it is assumed that the arithmetic~ mean of these values (1.3 IQ points) represents~ the central estimate.~ ~ Normal distribution assumption by author judgement. This is supposed ~~ to reflect a common effect of nature~ ~ This node is used for further calculations in the other modules of th~~ e model. Definition: var au:=0.18;~ var ac:=0.13;~ var al:=0.08;~ var sd:=(au-ac)/1.96;~ truncate(normal(ac,sd),0.05,0.21) Nodelocation: 168,144,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,1, Windstate: 2,56,465,476,318 Valuestate: 2,152,162,829,536,0,STAT Nodecolor: 65535,52427,65534 Displayoutputs: Constant Is_there_other_sourc, Variable Unc_inputs Reference: Cohen_et_al_2005b~~ Log: 14.9.2007 Olli Leino~ The data is for omega-3 fatty acids, not for DHA. This shlould be cha~~ nged. Constant Is_there_other_sourc Title: Are there other sources of DHA and what could be their effect t~~ o the model Description: As an assumption, dose-response of DHA is linear at all d~~ ose ranges and DHA exposure from other sources does not affect to the~~ effect of DHA from intake of fish. Nodelocation: 288,144,1 Nodesize: 48,55 Displayinputs: Variable Exprespdha Constant Foetus_lacking_dha__ Title: Foetus lacking DHA from the mother Description: If the foetus is not getting enough of the DHA, it may "s~~ teal" DHA from the mother to get enough DHA for the normal developmen~~ t. Should this be taken into account somehow. Nodelocation: 56,41,1 Nodesize: 48,38 Reference: Anna Karjalainen. Manuscript of this study. Close Erf_n3 Module Erf_pollutants Title: Exposure-~ response of MeHg for IQ loss Description: In this module the exposure-resopnse of the pollutants (M~~ eHg). is constructed. Author: Pieta Date: 16. tamta 2004 1:32 Defaultsize: 48,24 Nodelocation: 64,176,1 Nodesize: 48,46 Diagstate: 1,343,3,423,404,17 Constant Bjornberg_et_al Title: Bjornberg_et_al Description: MeHg in cord blood was significantly associated with T-Hg~~ in maternal hair ([R.sup.2] = 0.53; n = 126) (Figure 1), and both me~~ asures increased with increasing total consumption of seafood (r = 0.~~ 41, p < 0.001, and r = 0.46, p < 0.001 for T-Hg in hair and MeHg in c~~ ord blood, respectively) (Figure 2).~ ~ Nodelocation: 224,152,1 Nodesize: 48,24 Log: http://findarticles.com/p/articles/mi_m0CYP/is_4_111/ai_102102837~~ /pg_3~ Methyl mercury and inorganic mercury in Swedish pregnant women and in~~ cord blood: influence of fish consumption - Environmental Medicine Constant Davidson_et_al Title: Davidson_et_al Description: Methyl mercury accounts for over 80% of the THg in hair s~~ amples collected from fish-eating populations.~ Nodelocation: 352,216,1 Nodesize: 48,24 Windstate: 2,645,452,476,224 Reference: Davidson_et_al Constant L Title: Lebel_et_al Description: Hair Hg concentrations (HHg), showed that villagers with ~~ a high fish diet (n=31; median HHg=16.1 ug/g) and mixed fish diet (n=~~ 36; median HHg=14.8 ug/g) had significantly higher HHg concentrations~~ compared to the low fish diet group (n=29; mean HHg=7.8 ug/g).~ ~ Hair mercury levels, assessed in human populations living in various ~~ areas of theBrazilian Amazon, are in the range of a few ug/g up to 30~~ 0 ug/g, with median exposurevaluesin the orderof 2 ug/g up to + 20 ug~~ /g (Akagi et al., 1995; Maim et al., 1995b; Barbosa et al., 1995; Boi~~ schio et al., 1995; Grandjean et al., !993; Nakanishi, 1992;Lebel et ~~ al., 1996; Boischio et al., 1996).~ ~ For the entire group, methylmercury constitued an average of 89.6% + ~~ 3.0% of the total hair Hg, with a minimum value of 72.8% and a maximu~~ m of 93.6%.~ ~ Exposure response function: see figure 3. Nodelocation: 224,216,1 Nodesize: 48,24 Windstate: 2,470,254,476,616 Reference: Lebel_et_al Constant Bidone_et_al Title: Bidone_et_al Description: The general population is primarily exposed to Hg through~~ the diet. Fish and fish products are the dominant source of Hg in hu~~ man diet (WHO,1990). In this study the estimated average daily intake~~ of Hg reaches 48.0ìg.day -1. This value was obtained by multiplicati~~ on of 95th percentile upperbound estimate of mean Hg concentration co~~ nsidering all fish samples (240.0 ìg.kg-1 in this study) - as suggest~~ ed by USEPA (1989) - by local adult human ingestion rate, 0.2 kg.day-~~ 1 (SUDEPE, 1988). The tolerable total Hg intake level recommended by ~~ the World Health Organization (Porcella, 1994) is 30 ìg.day-1.~ ~ In the case of continuous exposure, the WHO (1990) suggests the use o~~ f a single-compartment model, through which the steady-state Hg conce~~ ntration in blood (C) in ìg.l-1 is related to the average daily dieta~~ ry intake (d) in ìg of Hg, as follows: C = 0.95 * d. It should be emp~~ hasized that single-compartment models refer to the “average” adult h~~ uman with a body weight of 70 Kg. Clearly, this model is only an appr~~ oximation to the more complex kinetics of Hg distribution and metabol~~ ism, a process which is known to follow multiphasic kinetics (Berlin,~~ 1986).~ ~ Taken into account the calculated average Hg daily intake (d = 48 ƒÊg~~ .day-1), the estimated Hg levels in blood and in hair were respective~~ ly 45.6 ƒÊg.I-1 and 11.4 ƒÊg.g-1. The estimated hair Hg concentration~~ (11.4 ƒÊg.g-1) agree with the observed 16.6}10.5 ƒÊg.g-1 total Hg c~~ oncentration and the observed 15.2}10.5~ ƒÊg.g-1 MeHg concentration reported by Akagi et al. (1994) in hair sa~~ mples from 48 peoples from Jacareacanga area of the Tapajos river. Th~~ e chemical Hg speciation in hair samples indicated that ~ 88% of the ~~ total Hg concentrations were MeHg. The total Hg in hair reported by A~~ kagi et al. (1994) could be related~ ~ SEE TABLE 2!!! Nodelocation: 64,88,1 Nodesize: 48,24 Windstate: 2,102,90,488,486 Displayoutputs: Variable Table_2__page Reference: Bidone_et_al Constant Who1990 Title: WHO1990 Description: Lue! Google: Nodelocation: 352,152,1 Nodesize: 48,24 Windstate: 2,102,90,479,352 Reference: WH1990~ ~ http://www.inchem.org/documents/ehc/ehc/ehc101.htm Constant Stern___smith Title: Stern & Smith 2003 Description: Ratio relating cord blood Hg concentration to maternal bl~~ ood Hg concentration is implicitly used as 1.0.~ ~ This analysis results in a recommended central tendency estimate of 1~~ .7, a coefficient of variation of 0.56, and a 95th percentile of 3.4.~~ By analogy to the impact of the similar hair:blood Hg ratio on the o~~ verall variability in the dose estimate, incorporation of the cord:ma~~ ternal ratio may support a 3-fold uncertainty factor adjustment to th~~ e central tendency estimate of dose to account for pharmacokinetic va~~ riability.~ ~ Thus, for the primary (n-weighted)~ meta-analysis, the maximum-likelihood estimate~ gives a log-normal distribution with a~ mean of 1.7 and an SD of 0.9, and for the~ alternative (unweighted) analysis, the ratio can~ be described as a log-normal distribution with~ a mean of 1.9 and an SD of 1.1.~ ~ Read 8.3.2008 Definition: lognormal(1.9,1.1)~ Nodelocation: 224,88,1 Nodesize: 48,24 Windstate: 2,729,125,513,419 Valuestate: 2,456,466,416,303,1,PDFP Reference: Stern_&_Smith2003 Module Bidone_et_al1 Title: Exposure response Calculations 1&2 Description: Two separate exposure-response functions constructed with~~ Axelrad 2007and Cohen 2005. Author: olex Date: Wed, Jul 25, 2007 8:43 AM Defaultsize: 48,24 Nodelocation: 64,176,1 Nodesize: 52,38 Diagstate: 1,201,-11,698,809,17 Diagramcolor: 52428,52428,52428 Variable Table_2__page Title: Table 2, page 198 Description: Estimated average Hg daily intake is 95 percent upper con~~ fidence limit on the arithmetric mean Definition: Table(Param,Units1)(~ 0.24,'ug/g',~ 48,'ug/d',~ 45.6,'ug/l',~ 11.4,'ug/g',~ 16.6,'ug/g'~ ) Nodelocation: 592,576,1 Nodesize: 48,24 Windstate: 2,286,460,475,280 Defnstate: 2,326,194,665,316,0,MIDM Valuestate: 2,680,287,416,303,0,MIDM Nodecolor: 49151,49151,49151 Reformdef: [Units1,Param] Reformval: [Units1,Param] Displayinputs: Constant Bidone_et_al Reference: Bidone_et_al Index Param Title: Param Definition: ['Hg concentration in fish','Estimated average daily intak~~ e of Hg','Estimated blood Hg concentration','Estimated hair Hg concen~~ tration','Observed hair Hg concentration'] Nodelocation: 592,608,1 Nodesize: 52,12 Windstate: 2,59,248,476,224 Nodecolor: 49151,49151,49151 {!40000|Att_previndexvalue: ['Hg concentration in fish','Estimated ave~~ rage daily intake of Hg','Estimated blood Hg concentration','Estimate~~ d hair Hg concentration','Observed hair Hg concentration']} Index Units1 Title: Units Definition: ['Value','Units'] Nodelocation: 584,632,1 Nodesize: 52,12 Windstate: 2,96,159,476,224 Nodecolor: 49151,49151,49151 {!40000|Att_previndexvalue: ['Value','Units']} Variable Expintoblood Title: Exposure into blood Units: ug/l Description: New:~ See submodule Single compartment model found in this module.~ ~ ---~ Old:~ This transforms exposure to blood concentration as follors:~ ~ In the case of continuous exposure, the WHO (1990) suggests the use o~~ f a single-compartment model, through which the steady-state Hg conce~~ ntration in blood (C) in ug/l is related to the average daily dietary~~ intake (d) in ug of Hg, as follows: C = 0.95 * d.~ where d=average daily dietary intake of mercury~ ---~ Definition: Total_exposure2[Substances='Methylmercury']*bw*Single_comp~~ artment Nodelocation: 312,152,1 Nodesize: 48,24 Windstate: 2,360,140,705,403 Valuestate: 2,203,294,423,602,0,MEAN Nodecolor: 45875,45875,45875 Reformval: [Gen_preg,Sys_localindex('SPECIES')] Att__totalsindex: Index Fishspecies {!40000|Att_resultslicestate: [Substances,1,Sys_localindex('SPECIES'),~~ 1,Gen_preg,1]} Variable Blood_to_hair Title: Blood to hair using consumption scenarios Units: ug/g Description: Total hair mercury was converted to blood mercury for the~~ New Zealand and Seychilles Island studies using a 250:1 ratio and ~~ an assumption of equivalent maternal and cord levels.~ ~ Alternative approach (with variability)~ Ref #1:~ Median = 190, 90% CI = 74–442~ ~ 1) Lognormal distribution assumption:~ var ex:=Expintoblood;~ var sd:= ((442-74)/2)/1.6449; {standard deviation}~ var no:=lognormal(mean: 190, stddev: sd);~ var di:=ex*no;~ if no<0 then 0 else no~ ~ 2) Triangular distribution assumption:~ var ex:=Expintoblood;~ triangular(74,190,443)*ex Definition: Exposure_into_blood*Blood_hair_ratio~ Nodelocation: 400,456,1 Nodesize: 48,38 Windstate: 2,555,110,498,512 Valuestate: 2,570,388,402,347,0,STAT Graphsetup: {!40000|Att_graphvaluerange Blood_to_hair:1,,0,,,,,0,1} Reformval: [Undefined,Fish,Undefined,Undefined,1] Att__totalsindex: Index Fishspecies, Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,3,Fish,0,Sys_local~~ index('STATISTICS'),1]} Reference: Reference #1:~ Variation included in the estimate:~ http://cat.inist.fr/?aModele=afficheN&cpsidt=16259377~ Budtz-Jorgensen et al_2004 Log: 14.9.2007 Olli Lein~ Check the units ug/l -> ug/g??? Variable Iq_effects Title: Exp-Resp by Cohen2005 Units: IQ pts/1ug/g MeHg in hai Description: Study (REF #1) finds that prenatal MeHg exposure sufficie~~ nt to~ increase the concentration of mercury in maternal hair at parturition~~ by 1 ug/g decreases IQ by 0.7 points. This paper identifies importan~~ t sources of uncertainty influencing this estimate, concluding that t~~ he plausible range of values for this loss is 0 to 1.5 IQ points.~ ~ Triangular distribution with the parameters values introduced above (~~ mean = -0.7, max = -1.5, min = 0) by Author judgement.~ ~ Result (24.7.2007) = 0.2501 means that methylmercury exposure from do~~ mestic fish consumption decreases IQ of children by 0.2501 points.~ ~ These are actually already health effects because exposures are multi~~ plied in this node. This node is used for further calculations in the~~ other modules of the model. Definition: Cohen*Blood_to_hair Nodelocation: 448,592,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,1, Windstate: 2,524,12,506,525 Valuestate: 2,404,305,626,468,0,MEAN Nodecolor: 19661,48336,65535 Reformval: [Undefined,Fish,1] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,4,Fish,1]} Reference: ~ REF #!~ Cohen2005a~ ~ REF#2~ Axwlrad a~ Variable Axelrad Title: Axelrad Units: IQ pts per ppm inc MeHg Description: REF#2:~ We find a central estimate of –0.18 IQ points (95% confidence interva~~ l, –0.378 to –0.009) for each parts per million increase of maternal ~~ hair mercury, similar to the estimates for both the Faroe Islands and~~ Seychelles studies, and lower in magnitude than the estimate for the~~ New Zealand study. Sensitivity analyses produce similar results, wit~~ h the IQ coefficient central estimate ranging from –0.13 to –0.25. NO~~ TE conversion from total mercury to methyl mercury taken into account~~ in the calculation as well (factor 1/Mehg_proportion).~ Definition: Table(Percentile)(~ 0.378/Mehg_proportion,8.999999999999998m/Mehg_proportion,0.18/Mehg_pr~~ oportion) Nodelocation: 168,232,1 Nodesize: 48,24 Windstate: 2,211,431,476,224 Defnstate: 2,592,169,416,303,0,MIDM Valuestate: 2,557,25,416,303,0,MIDM Nodecolor: 65535,52427,65534 Reformval: [Undefined,Percentile,Undefined,Undefined,1] Reference: REF#2~ Axwlrad a Index Percentile Title: Percentile Definition: ['0.975 fractile','0.025 fractile','central'] Nodelocation: 168,264,1 Nodesize: 48,12 {!40000|Att_previndexvalue: ['0.975 fractile','0.025 fractile','centra~~ l']} Variable Iq_change Title: Exp resp by Axelrad2007 Description: IQ change due to methylmercury exposure from fish consump~~ tion. Normal distribution chosen by AJ to describe the uncertainty in~~ exposure-response function,~ ~ These are actually already health effects because exposures are multi~~ plied in this node. This node is used for further calculations in the~~ other modules of the model. Definition: Axelraddistribution*Blood_to_hair Nodelocation: 168,592,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,1, Windstate: 2,297,138,477,369 Valuestate: 2,393,377,586,443,0,MEAN Reformval: [Undefined,Fish,1] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,3,Fish,1]} Variable Cohen Title: Cohen Units: IQ pts per ppm inc MeHg Description: Study (REF #1) finds that prenatal MeHg exposure sufficie~~ nt to~ increase the concentration of mercury in maternal hair at parturition~~ by 1 ug/g decreases IQ by 0.7 points. This paper identifies importan~~ t sources of uncertainty influencing this estimate, concluding that t~~ he plausible range of values for this loss is 0 to 1.5 IQ points. Definition: Triangular( 0, 0.7, 1.5 ) Nodelocation: 448,240,1 Nodesize: 48,24 Valuestate: 2,625,514,416,303,0,STAT Nodecolor: 65535,52427,65534 Displayoutputs: Variable Unc_inputs Reference: Cohen2005a Module Single_compartment_m Title: Single compartment model Description: EPA and WHO suggest using single-compartment model with s~~ teady-state assumption. The nodes on the right are the input paramete~~ rs for the singel-compartment model. Author: olex Date: Mon, Apr 07, 2008 10:23 AM Defaultsize: 48,24 Nodelocation: 312,240,1 Nodesize: 52,32 Diagstate: 1,303,133,550,300,17 Variable Single_compartment Title: Single-compartment model Description: EPA chose one-compartment model for the dose conversion f~~ or this RfD. This model has shown reasonably good fit to data on merc~~ ury blood-level changes in human subjects during and after consumptio~~ n of methylmercury-contaminated fish (Ginsberg and Toal, 2000).~ ~ d = c x b x V / A x f ~ => c = A x f x d / b x V Definition: var a:=(A*F)/(B*V);~ if a>=1 then 1 else a Nodelocation: 96,128,1 Nodesize: 48,24 Windstate: 2,577,368,476,316 Valuestate: 2,185,162,1041,669,0,MEAN Reference: http://www.epa.gov/iris/subst/0073.htm~ ~ (Ginsberg and Toal, 2000). Chance B Title: Elimination constant Description: Elimination constant b~ ~ Currently, five studies report clearance half-times for methylmercury~~ from blood or hair: Miettinen et al. (1971), Kershaw et al. (1980), ~~ Al-Shahristani et al. (1974), Sherlock et al. (1984), and Smith et al~~ . (1994).~ ~ ~ Range of estimates is (0.011 and 0.014 1/day) . In this assessment t~~ he value of 0.014 days-1 was used for b in the dose conversion follow~~ ing the practise of the EPA . Definition: Uniform( 0.01, 0.014 ) Nodelocation: 240,40,1 Nodesize: 48,24 Windstate: 2,107,91,476,224 Displayoutputs: Variable Unc_inputs Reference: http://www.epa.gov/iris/subst/0073.htm Variable A Title: Absorbtion factor Description: Absorbtion factor A~ ~ An absorption factor of 0.95 was used as in the Mercury Study Report ~~ to Congress (U.S. EPA, 1997). Definition: 0.95 Nodelocation: 240,104,1 Nodesize: 48,24 Valuestate: 2,168,178,416,303,0,MIDM Reference: http://www.epa.gov/iris/subst/0073.htm Chance F Title: Absorbed dose Description: Fraction of the absorbed dose that is found in the blood ~~ f~ ~ The median value was 5.9% Definition: uniform(0.05,0.059) Nodelocation: 240,168,1 Nodesize: 48,24 Displayoutputs: Variable Unc_inputs Reference: http://www.epa.gov/iris/subst/0073.htm Chance V Title: Blood volume Description: Blood volumes V~ ~ Whole-blood volumes in the third trimester ranged from 4 to 6 L; the ~~ mean and median were both 5 L. Therefore a normal distribution select~~ ed to describe the blood volume of a mother (Median 5, 95% CI 4-6).~ ~ Transformations to calculate SD:~ Definition: var au:=6;~ var al:=-4;~ var ac:=5;~ var sd:=(au-ac)/1.96;~ normal(ac,sd) Nodelocation: 240,232,1 Nodesize: 48,24 Windstate: 2,102,90,485,335 Valuestate: 2,349,177,849,630,0,CONF Displayoutputs: Variable Unc_inputs Reference: http://www.epa.gov/iris/subst/0073.htm~ Swartout and Rice (2000) Close Single_compartment_m Text Te16 Description: Some additional information Nodelocation: 600,592,-1 Nodesize: 68,84 Variable Axelraddistribution Title: Axelrad distribution Units: IQ pts per ppm inc MeHg Description: Formation of distribution using the data node.~ Definition: var au:= Axelrad[Percentile='0.975 fractile'];~ var al:= Axelrad[Percentile='0.025 fractile'];~ var ac:= Axelrad[Percentile='central'];~ var b:= (au-al)/2/1.96; {standard deviation}~ var no:=normal(ac,b); {normal distribution}~ if no<0 then 0 else no {no values below zero for sample}~ Nodelocation: 168,320,1 Nodesize: 48,24 Windstate: 2,482,497,498,339 Valuestate: 2,106,266,1043,394,1,STAT Displayoutputs: Variable Unc_inputs Variable E_r_cohen_with_sc_mo Title: E-R Cohen Fish intake IQ children Units: IQ pts/ppm inc MeHg Description: Jaetaan 250 (blood to hair), jaetaan singecompartment mod~~ el (0.8007), kerrotaan annosvaste Cohen ja saadaan annos-vaste "kalan~~ syönti - lapsen IQ" Definition: Cohen/250/Single_compartment Nodelocation: 448,80,1 Nodesize: 48,29 Nodecolor: 45875,45875,45875 Variable E_r_axelrad_with_sc_ Title: E-R Axelrad Fish intake - IQ children Units: IQ pts/ppm inc MeHg Description: Jaetaan 250 (blood to hair), jaetaan singecompartment mod~~ el (0.8007), kerrotaan annosvaste Axelrad ja saadaan annos-vaste "kal~~ ansyönti - lapsen IQ" Definition: Axelraddistribution/Single_compartment/250 Nodelocation: 168,80,1 Nodesize: 48,29 Windstate: 2,163,482,476,224 Valuestate: 2,537,60,745,568,0,MEAN Nodecolor: 45875,45875,45875 Graphsetup: {!40000|Att_graphvaluerange E_r_axelrad_with_sc_:1,,0,,,,,~~ -1,2}~ {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,0,6}~ {!40000|Att_contlinestyle Graph_pdf_valdim:6} Reformval: [Undefined,Gen_preg,Undefined,Undefined,1] Chance Blood_hair_ratio Title: Blood-hair-ratio Description: WHO determined that “the concentration of mercury~ in hair is approximately 250 times the concentration in blood”; howev~~ er, this relationship varies between populations and ratios from 140 ~~ to 370 have been reported~ (WHO/IPCS, 2004) Definition: Triangular( 140, 250, 370 ) Nodelocation: 320,600,1 Nodesize: 52,24 Windstate: 2,566,165,476,224 Valuestate: 2,193,381,416,303,1,PDFP Graphsetup: {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,1,1,,,,0,~~ 10}~ {!40000|Att_contlinestyle Graph_pdf_valdim:6} Displayoutputs: Variable Unc_inputs Variable Exposure_into_blood Title: Exposure into blood using consumption scenarios Description: Total_exposure2[Substances='Methylmercury']*bw*Single_com~~ partment Definition: Exposure_to_mehg_dha[Substance='MeHg']*bw*Single_compartme~~ nt Nodelocation: 392,328,1 Nodesize: 48,38 Valuestate: 2,156,249,416,303,0,MEAN Reformval: [Consumption_scenario,Fish] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Substance,1,Fish,1,Consumption_scenario~~ ,1]} Variable Exposure_into_blood_ Title: Exposure into blood using hypothetical meal frequencies Definition: Exposure_hypothetic[Substance='MeHg']*bw*Single_compartmen~~ t Nodelocation: 272,336,1 Nodesize: 48,46 Valuestate: 2,2,-2,732,303,0,MEAN Reformval: [Consumptionfrequency,Fish] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,3,Fish,1,Number,1]~~ } Variable Blood_to_hair_using Title: Blood to hair using hypothetical meal frequencies Description: Exposure_into_blood*Blood_hair_ratio Definition: Exposure_into_blood_*Blood_hair_ratio Nodelocation: 272,464,1 Nodesize: 48,46 Valuestate: 2,211,52,771,331,0,MEAN Reformval: [Consumptionfrequency,Fish] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,3,Fish,1,Number,1]~~ } Variable Mehg_risk_using_axel Title: MeHg risk using Axelrad2007 Description: Axelraddistribution*Blood_to_hair Definition: Axelraddistribution*Blood_to_hair_using Nodelocation: 88,464,1 Nodesize: 48,29 Valuestate: 2,390,68,825,303,0,MEAN Reformval: [Consumptionfrequency,Fish] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,2,Fish,1,Consumpti~~ onfrequency,1]} Variable Mehg_risk_using_cohe Title: MeHg risk using Cohen2005 Description: Cohen*Blood_to_hair Definition: Cohen*Blood_to_hair_using Nodelocation: 528,464,1 Nodesize: 48,29 Valuestate: 2,383,-12,875,308,0,MEAN Reformval: [Consumptionfrequency,Fish] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,3,Fish,1,Number,1]~~ } Text Te29 Description: Axelrad et al. is deemed the~ most reliable source for E-R WHO 2008 Nodelocation: 72,253,-1 Nodesize: 48,61 Variable Who_approach Title: WHO approach Description: In this node we should first calculate maternal hair MeHg~~ concentration with mean and SD. Then we can use the equation demonst~~ rated in the reference which is based on WHO 2008 guideline document.~~ ~ ~ By this we could calculate the amount of population with more than 2 ~~ ug/g MeHg concentration and use the approach presented in WHO 2008. P~~ resumably, most of the Finns are under the class 2ug/g and the result~~ would be appropriate using only this group. Nodelocation: 600,240,1 Nodesize: 48,24 Windstate: 2,102,90,511,379 Reference: WHO 2008 approach~ ~ Here is the model for calculation new MMR cases, according to WHO met~~ hod:~ Population fraction o~~ ver a concentration - model~ ~ Close Bidone_et_al1 Constant Mmwr Title: MMWR Description: 1)~ The NRC committee summarized some studies that suggest that cord bloo~~ d values may be 20%--30% higher than corresponding maternal blood lev~~ els. However, other studies suggest that the ratio is closer to 1:1~ ~ 2)~ The geometric mean total blood Hg concentration for all women aged 16~~ --49 years and children aged 1--5 years was 1.2 ppb and 0.3 ppb, resp~~ ectively; the 90th percentile of blood Hg for women and children was ~~ 6.2 ppb and 1.4 ppb, respectively (Table 1). Almost all inorganic Hg ~~ levels were undetectable; therefore, these measures indicate blood me~~ thylmercury levels. The 90th percentile of hair Hg for women and chil~~ dren was 1.4 ppm and 0.4 ppm, respectively. Geometric mean values wer~~ e not calculated for hair Hg values. Nodelocation: 352,88,1 Nodesize: 48,24 Windstate: 2,102,90,481,321 Reference: MMWR~ Constant Bj_rnberg_et_al2003 Title: Björnberg et al2005 Description: 1)~ The concentrations of Hg in hair and blood, and Se~ in serum are given in Table 2. As expected, hair T-Hg~ was associated with blood MeHg (rs=0.78; pb0.001)~ and both hair T-Hg (rs=0.32; p=0.001; Fig. 1) and~ blood MeHg (rs=0.37; pb0.001) increased with~ increasing total consumption of fish.~ ~ Read 8.3.2008 Nodelocation: 224,288,1 Nodesize: 48,24 Windstate: 2,102,90,485,305 Reference: Björnberg_et_al2003~ ~ ~ Variable Blood_hair Title: Blood hair Description: The blood-to-hair ratio in humans is about 1 to 250,~ but appreciable individual differences have been found~ (Table 6).~ ~ In general, the concentration in~ hair is 250 times the simultaneous concentration in blood.~ Once mercury is incorporated into a hair strand, that hair~ mercury concentration remains unchanged. Thus, longitudi-~ nal measurement of mercury in hair provides a recapitu-~ lation of methylmercury levels in blood.~ Definition: 250 Nodelocation: 472,80,1 Nodesize: 48,24 Windstate: 2,610,44,476,224 Nodecolor: 49151,49151,49151 Reference: WHO 1990. http://www.inchem.org/documents/ehc/ehc/ehc101.ht~~ m~ ~ Constant Axelrad_et_al Title: Axelrad_et_al Description: REF#2:~ We find a central estimate of –0.18 IQ points (95% confidence interva~~ l, –0.378 to –0.009) for each parts per million increase of maternal ~~ hair mercury, similar to the estimates for both the Faroe Islands and~~ Seychelles studies, and lower in magnitude than the estimate for the~~ New Zealand study. Sensitivity analyses produce similar results, wit~~ h the IQ coefficient central estimate ranging from –0.13 to –0.25. ~ HUOM mercury EI methyl mercury~ Nodelocation: 592,280,1 Nodesize: 48,24 Displayoutputs: Variable Cord_blood Reference: REF#2~ Axwlrad a Variable Cord_blood Title: cord blood Description: REF#1:~ Assuming a ratio of mercury in cord blood to maternal blood equal to~ 1.7 (Stern and Smith 2003)].~ ~ group of Japanese women the average ratio of cord~ blood to maternal blood methylmercury concentration ranged~ from 0.8 to 2.8, with a mean of 1.65 (Suzuki et al.,~ 1984b).~ ~ Distribution by AJ Definition: var au:=2.8;~ var al:=0.8;~ var ac:=1.65;~ var s:=(au-al)/2/1.96;~ var no:=normal(ac,s);~ truncate(no,al,au)~ ~ Nodelocation: 472,280,1 Nodesize: 48,24 Windstate: 2,102,90,479,375 Valuestate: 2,456,466,416,303,1,MEAN Nodecolor: 49151,49151,49151 Displayinputs: Constant Axelrad_et_al Reference: REF#1~ Axwlrad a Module Old1 Title: Old Description: Some old nodes not used in further calculations. Author: olex Date: Tue, Mar 11, 2008 10:05 AM Defaultsize: 48,24 Nodelocation: 352,288,1 Nodesize: 48,24 Diagstate: 1,220,157,550,300,17 Constant Cohen_2005a Title: Cohen 2005a Description: Prenatal MeHg exposure sufficient to~ increase the concentration of mercury in maternal hair at parturition~~ by 1 ug/g decreases~ IQ by 0.7 points. This paper identifies important sources of uncertai~~ nty influencing this~ estimate, concluding that the plausible range of values for this loss~~ is 0 to 1.5 IQ points.~ ~ var au:= Axelrad[Percentile='0.975 fractile'];~ var al:= Axelrad[Percentile='0.025 fractile'];~ var ac:= Axelrad[Percentile='central'];~ var b:= -(au-al)/2/1.96; {standard deviation}~ normal(ac,b)*Blood_to_hair~ ~ Definition: var au:= 1.5;~ var al:= 0;~ var ac:= 0.7;~ var b:= (au-al)/2/1.96; {standard deviation}~ var no:=normal(ac,b);~ truncate(no,0,1.5) Nodelocation: 96,48,1 Nodesize: 48,24 Windstate: 2,369,255,495,468 Valuestate: 2,193,111,416,303,1,MEAN Aliases: Alias Cohen_2005a1 Reference: Cohen_et_al_2005a~ ~ ~ Constant Mahaffey_and_mergler Title: Mahaffey_and_Mergler.pdf Description: This gives correlation between fish consumption and mercu~~ ry in blood. Nodelocation: 96,48,1 Nodesize: 48,24 Aliases: Alias Mahaffey_and_mergle2 Displayoutputs: Variable Table1, Index Category Reference: Mahaffey_and_Mergler Constant Rice Title: Rice2003 Description: In its analyses, the NRC assumed a ratio of 250:1 to conv~~ ert from~ maternal hair to maternal blood, with no estimate of variance.~ ~ The EPA used a onecompartment~ pharmacokinetic model to convert cord~ blood (or maternal hair) to maternal intake,~ ~ d =C x b x V/(A x f x bw)~ ~ where C=(BMDL), b=maternal elimination constant~ (0.014/days), V=maternal blood volume (5 L), A=fraction~ ofabsorbed intake (0.95), f =fraction of absorbed~ dose in blood (0.059), and bw=maternal body weight~ (67 kg). There are numerous sources of uncertainty~ associated with this conversion. Nodelocation: 96,48,1 Nodesize: 48,24 Aliases: Alias Rice1 Displayoutputs: Variable Ingestion_bmdl Reference: Rice_2004 Module Rice2003 Title: Exposure response Calculation 3 Author: olex Date: Tue, Jul 24, 2007 8:22 AM Defaultsize: 48,24 Nodelocation: 464,144,1 Nodesize: 52,29 Diagstate: 1,10,204,560,412,17 Objective Exp_resp_hg Title: Exposure-Response MeHg Units: IQ pts / ug/g incr hair Description: What is the dose-response from mercury in hair/blood and~~ IQ loss?~ ~ Reference #1~ Study (REF #1) finds that prenatal MeHg exposure sufficient to~ increase the concentration of mercury in maternal hair at parturition~~ by 1 ug/g decreases IQ by 0.7 points. This paper identifies importan~~ t sources of uncertainty influencing this estimate, concluding that t~~ he plausible range of values for this loss is 0 to 1.5 IQ points.~ ~ ~ Reference #2~ We find a central estimate of –0.18 IQ points (95% confidence interva~~ l, –0.378 to –0.009) for each parts per million increase of maternal ~~ hair mercury, This study combines data from three major studies (New ~~ Zealand, Seychilles and Faroe Island).~ ~ Result (24.7.2007) = -0.2388 means that methylmercury exposure from d~~ omestic fish consumption decreases IQ of children by 0.2388 points. Definition: Cohen_2005a*Bloodhair Nodelocation: 112,224,1 Nodesize: 48,24 Windstate: 2,523,239,480,453 Valuestate: 2,58,214,416,303,0,MEAN Nodecolor: 19661,48336,65535 Reference: #1~ Cohen2005a~ ~ #2~ Axelrad_et_al~ ~ ~ Virtanen JK, Voutilainen S, Rissanen TH, Mursu J, Tuomainen T-M, Korh~~ onen MJ, Valkonen V-P, Seppänen K, Laukkanen JA, Salonen JT: Mercury,~~ fish oils, and risk of acute coronary events and cardiovascular dise~~ ase, coronary heart desease, and all-cause mortality in men in easter~~ n finland. Asterochelrosis, thrombosis and vascular biology. Variable Fish_blood Title: Exposure->~ blood conc Units: ug/d / ppb Description: What is a exposure-response function for fish MeHg to hai~~ r MeHg?~ ~ {Arbitrary example: 0.02 ug MeHg consumption increases hair concentra~~ tion by 0.01 ug/kg (NOTE, THIS DEFINITION DOES NOT BASE ON ANY DATA)~ ~ Reference #1~ This gives the correlation from fish consumption to BLOOD mercury lev~~ els. With the relation between blood and hair mercury level, this cou~~ ld give the solution. Answer 250:1~ ~ Level of fish consumption Mean value 10th and 90th percentiles 25th a~~ nd 75th percentiles Number of observations~ Category I, no fish consumption 2.0 0Ð4.3 0.8Ð3.2 223~ Category II,(2 fish meals/week 4.8 2.4Ð7.2 3.5Ð6.1 39~ Category III, [2Ð4 fish meals/week 8.4 2.6-14.2 5.4-11.4 658~ Category IV, [4 fish meals/week 44.4 6.1-82.7 24.4-64.4 613~ Category V, unknown fish consumption 5.8 1.2-10.4 3.4-8.2 3182~ ~ Reference #2}~ Definition: Parametric_ratio*bw Nodelocation: 368,224,1 Nodesize: 48,24 Windstate: 2,542,283,495,485 Valuestate: 2,177,558,416,303,0,MEAN Reference: Mahaffey_and_Mergler Variable Ingestion_bmdl Title: Ingestion-~ BMDL Definition: Table(Studies,Factor)(~ 58,1.081,0.1,~ 71,1.323,0.1,~ 40,0.745,0.1,~ 46,0.857,0.1,~ 49,0.931,0.1,~ 28,0.522,0.05,~ 103,1.92,0.2,~ 78,1.454,0.1,~ 52,0.969,0.1,~ 79,1.472,0.1,~ 66,1.23,0.1,~ 24,0.447,0.05,~ 68,1.268,0.1,~ 65,1.212,0.1,~ 34,0.634,0.1,~ 48,0.895,0.1,~ 48,0.895,0.1,~ 60,1.118,0.1,~ 52,0.969,0.1,~ 28,0.522,0.05,~ 32,0.596,0.1,~ 48,0.895,0.1,~ 24,0.447,0.05,~ 32,0.596,0.1~ ) Nodelocation: 112,104,1 Nodesize: 48,24 Defnstate: 2,269,144,661,478,0,MIDM Valuestate: 2,40,50,667,531,0,MIDM Nodecolor: 65535,52427,65534 Reformdef: [Factor,Studies] Reformval: [Factor,Studies] Displayinputs: Constant Rice Index Studies Title: Studies/tests Definition: ['Faroes(BNT)_Whole cohort','Faroes(BNT)_PCB adjusted','Fa~~ roes(BNT)_Lowest PCB','Faroes(CPT)_Whole cohort','Faroes(CPT)_PCB adj~~ usted','Faroes(CPT)_Lowest PCB','Faroes(CVLT)_Whole cohort','Faroes(C~~ VLT)_PCB adjusted','Faroes(CVLT)_Lowest PCB','Faroes(Finger tap)_Whol~~ e cohort','Faroes(Finger tap)_PCB adjusted','Faroes(Finger tap)_Lowes~~ t PCB','Faroes(geometric mean)_Whole cohort','Faroes(geometric mean)_~~ PCB adjusted','Faroes(geometric mean)_Lowest PCB','Faroes(Smoothed va~~ lues_BNT','Faroes(Smoothed values_CPT','Faroes(Smoothed values_CVLT',~~ 'Faroes(Smoothed values_Finger tap','Faroes(Smoothed values_MCCPP New~~ ','Zealand_MCPT New','Faroes(median)','New Zealand(median)','Integrat~~ ive(All endpoints)'] Nodelocation: 104,136,1 Nodesize: 48,12 Valuestate: 2,40,50,431,554,0,MIDM {!40000|Att_previndexvalue: ['Faroes(BNT)_Whole cohort','Faroes(BNT)_P~~ CB adjusted','Faroes(BNT)_Lowest PCB','Faroes(CPT)_Whole cohort','Far~~ oes(CPT)_PCB adjusted','Faroes(CPT)_Lowest PCB','Faroes(CVLT)_Whole c~~ ohort','Faroes(CVLT)_PCB adjusted','Faroes(CVLT)_Lowest PCB','Faroes~~ (Finger tap)_Whole cohort','Faroes(Finger tap)_PCB adjusted','Faroes(~~ Finger tap)_Lowest PCB','Faroes(geometric mean)_Whole cohort','Faroes~~ (geometric mean)_PCB adjusted','Faroes(geometric mean)_Lowest PCB','F~~ aroes(Smoothed values_BNT','Faroes(Smoothed values_CPT','Faroes(Smoot~~ hed values_CVLT','Faroes(Smoothed values_Finger tap','Faroes(Smoothe~~ d values_MCCPP New','Zealand_MCPT New','Faroes(median)','New Zealand(~~ median)','Integrative(All endpoints)']} Index Factor Title: Factor Definition: ['BMDL_mercury_cord blood(ppb)','Ingested_dose(ug/kg/day)'~~ ,'RfD(ug/kg/day)'] Nodelocation: 96,160,1 Nodesize: 48,12 {!40000|Att_previndexvalue: ['BMDL_mercury_cord blood(ppb)','Ingested_~~ dose(ug/kg/day)','RfD(ug/kg/day)']} Alias Rice1 Title: Rice2003 Definition: 1 Nodelocation: 112,32,1 Nodesize: 48,24 Original: Rice Variable Ratio Title: Ratio Units: ug/kg/d / ppb Description: Ratio of exposure and BMDL mercury blood level according ~~ to test. Definition: var a:=Ingestion_bmdl[Factor='BMDL_mercury_cord blood(ppb)~~ '];~ var b:=Ingestion_bmdl[Factor='Ingested_dose(ug/kg/day)'];~ b/(a*1000) Nodelocation: 240,104,1 Nodesize: 48,24 Windstate: 2,280,369,476,224 Valuestate: 2,351,33,807,722,0,MIDM Reformval: [Factor,Studies] Variable Parametric_ratio Title: Ratio with uncertainty Units: ug/kg/d / ppb Description: Ratio with uniform distribution applied (autrhor judgemen~~ t). Definition: uniform(min(Ratio),max(Ratio)) Nodelocation: 368,104,1 Nodesize: 48,24 Valuestate: 2,40,50,416,303,0,MEAN Variable Bloodhair Title: Blood conc->~ Hair conc Units: - Description: Total hair mercury was converted to blood mercury for the~~ New Zealand and Seychilles Island studies using a 250:1 ratio and ~~ an assumption of equivalent maternal and cord levels. Definition: (250/1)*Fish_blood Nodelocation: 240,224,1 Nodesize: 48,24 Displayinputs: Variable Katso_bidonen_blood_ Alias Cohen_2005a1 Title: Cohen 2005a Definition: 1 Nodelocation: 112,288,1 Nodesize: 48,24 Original: Cohen_2005a Variable Katso_bidonen_blood_ Title: Katso Bidonen blood-hair Nodelocation: 240,312,1 Nodesize: 48,29 Nodecolor: 65535,65531,1 Displayoutputs: Variable Bloodhair Close Rice2003 Constant Kesken___________ Title: Tarkistusta Dose response calculation 4 erityisesti, lue moduli~~ n lähteet läpi Nodelocation: 240,184,1 Nodesize: 48,72 Nodecolor: 65535,1,1 Displayoutputs: Variable Table1 Module Mahaffey_and_mergle1 Title: Exposure response Calculation 4 Author: olex Date: Wed, Jul 25, 2007 8:43 AM Defaultsize: 48,24 Nodelocation: 464,48,1 Nodesize: 52,29 Diagstate: 1,60,284,944,454,17 Alias Mahaffey_and_mergle2 Title: Mahaffey_and_Mergler.pdf Definition: 1 Nodelocation: 112,48,1 Nodesize: 48,24 Original: Mahaffey_and_mergler Variable Table1 Title: Table 7, page 109 Units: Tot Hg in blood ug/l Description: How could the exposure be defined quantitatively by this ~~ table as fish consumption is defined by category. Assumptions: one me~~ al is 227g and average fish MeHg applied, then we could get numerical~~ exposure estimate. Definition: Table(Category,Parametric)(~ 2,0,4.3,0.8,3.2,233,~ 4.8,2.4,7.2,3.5,6.1,39,~ 8.4,2.6,14.2,5.4,11.4,658,~ 44.4,6.1,82.7,24.4,64.4,613,~ 5.8,1.2,10.4,3.4,8.2,3182~ ) Nodelocation: 112,128,1 Nodesize: 48,24 Windstate: 2,601,69,476,224 Defnstate: 2,107,302,788,303,0,MIDM Valuestate: 2,12,13,770,248,0,MIDM Nodecolor: 65535,52427,65534 Reformdef: [Parametric,Category] Reformval: [Category,Parametric] Displayinputs: Constant Mahaffey_and_mergler, Constant Kesken___________~~ Reference: Mahaffey_and_Mergler Index Category Title: Category Definition: ['No fish consumption','<2 times per week','2-4 times per ~~ week','>4 times per week','Unknown fish consumption'] Nodelocation: 112,160,1 Nodesize: 52,12 Nodeinfo: 1,1,1,1,1,1,0,0,0,0 Displayinputs: Constant Mahaffey_and_mergler {!40000|Att_previndexvalue: ['No fish consumption','<2 times per week'~~ ,'2-4 times per week','>4 times per week','Unknown fish consumption']~~ } Index Parametric Title: Parametric Definition: ['Mean','10 percentile','90 percentile','25 percentile','7~~ 5 percentile','Number of observations'] Nodelocation: 104,184,1 Nodesize: 48,12 Nodeinfo: 1,1,1,1,1,1,0,0,0,0 Windstate: 2,102,90,476,224 {!40000|Att_previndexvalue: ['Mean','10 percentile','90 percentile','~~ 25 percentile','75 percentile','Number of observations']} Variable Density_of_blood Title: Density of blood Units: kg/m¨3 Description: Data of table1 is expressed in ug/l. To transform it to u~~ g/kg, we must use the density of the blood. So, one liter of blood we~~ ighs 1.06 kg. This has a small effect on the calculations in this mod~~ ule. Definition: 1060 Nodelocation: 112,248,1 Nodesize: 48,24 Variable Graph1 Title: Graph Description: From excel sheet (see reference) we get:~ Blood concentration = 0.0332 * fish consumption~ ~ and~ ~ R^2= 0.7373 Definition: Table(Consumption,Concentration)(~ Table1[Category='No fish consumption', Parametric='Mean'],~ Table1[Category='<2 times per week', Parametric='Mean'],~ Table1[Category='2-4 times per week', Parametric='Mean'],~ Table1[Category='>4 times per week', Parametric='Mean']~ ) Nodelocation: 256,128,1 Nodesize: 48,24 Windstate: 2,102,90,476,224 Defnstate: 2,8,363,1250,163,0,MIDM Valuestate: 2,40,50,416,303,1,MIDM Reformdef: [Consumption,Concentration] Reformval: [Consumption,Concentration] Reference: Machaf~~ fey graph Index Consumption Title: Consumption Units: g/week Definition: ['0','227','681','1041'] Nodelocation: 256,160,1 Nodesize: 48,12 Windstate: 2,384,548,476,224 {!40000|Att_previndexvalue: ['0','227','681','1041']} Index Concentration Title: Concentration Units: ug/l Definition: ['Concentrations'] Nodelocation: 248,184,1 Nodesize: 48,12 Windstate: 2,563,526,476,224 {!40000|Att_previndexvalue: ['Concentrations']} Variable Exp__blood Title: Exp->Blood Definition: sum(Exposure[Substances='Methylmercury'],fishspecies)/7*Sl~~ ope Nodelocation: 384,248,1 Nodesize: 48,24 Valuestate: 2,513,295,418,433,0,MIDM Reformval: [Substances,Fishspecies] Att__totalsindex: Index Fishspecies Variable Slope Title: Slope of the graph Description: From the excel sheet (see reference):~ ~ R^2=0.7373 Definition: 0.332 Nodelocation: 248,248,1 Nodesize: 48,24 Reference: Machaf~~ fey graph Variable Blood__hair1 Title: Blood->Hair Description: Total hair mercury was converted to blood mercury for the~~ New Zealand and Seychilles Island studies using a 250:1 ratio and ~~ an assumption of equivalent maternal and cord levels. Definition: 250*Exp__blood Nodelocation: 512,248,1 Nodesize: 48,24 Valuestate: 2,200,210,416,303,0,MEAN Variable Hair__iq1 Title: Hair->IQ Definition: Triangular( -1.5, -0.7, 0 )*Blood__hair1 Nodelocation: 640,248,1 Nodesize: 48,24 Module Old Title: Old nodes Author: olex Date: Wed, Jul 25, 2007 10:28 AM Defaultsize: 48,24 Nodelocation: 256,40,1 Nodesize: 48,24 Variable Quantified Title: Quantified fish consumption Units: g/week Description: This node transfers class-defined data to grams of fish c~~ onsumption/week Definition: Table(Quantification)(~ (Uniform(0,2)*Portion),(Uniform(2,4)*Portion),(Triangular(4,4,6)*Port~~ ion)) Nodelocation: 48,24,1 Nodesize: 48,29 Windstate: 2,376,408,476,224 Defnstate: 2,346,610,739,155,0,MIDM Valuestate: 2,348,381,820,197,0,MIDM Index Quantification Title: Quantification Definition: ['<2','2-4','>4'] Nodelocation: 48,24,1 Nodesize: 48,12 {!40000|Att_previndexvalue: ['<2','2-4','>4']} Variable Portion Title: Portion size Units: g Description: Average size of a portion Definition: 227 Nodelocation: 48,32,1 Nodesize: 48,24 Variable Ratios Title: Ratio blood conc to exp Units: ug/kg / g/week Description: The relationship of total mercury exposure and fish consu~~ mption Definition: Table(Points)(~ (Table1[Category='<2 times per week', Parametric='Mean']/Quantified[Q~~ uantification='<2']),(Table1[Category='2-4 times per week', Parametri~~ c='Mean']/Quantified[Quantification='2-4']),(Table1[Category='>4 time~~ s per week', Parametric='Mean']/Quantified[Quantification='>4'])) Nodelocation: 48,32,1 Nodesize: 48,24 Windstate: 2,131,337,476,224 Defnstate: 2,90,584,870,202,0,MIDM Valuestate: 2,488,498,416,303,1,MIDM Reformval: [Quantification,Points] Index Points Title: points Definition: ['Low cons','Moderate cons','High cons'] Nodelocation: 48,24,1 Nodesize: 48,12 {!40000|Att_previndexvalue: ['Low cons','Moderate cons','High cons']} Variable Expblood Title: Ratio exp-> Blood conc Units: g/week / ug/kg Definition: 1/Ratios Nodelocation: 48,24,1 Nodesize: 48,24 Valuestate: 2,56,574,416,303,0,MEAN Variable Blood__hair Title: Blood->Hair Units: ug/g / g/week Description: Total hair mercury was converted to blood mercury for the~~ New Zealand and Seychilles Island studies using a 250:1 ratio and ~~ an assumption of equivalent maternal and cord levels. Definition: Ratios*250/1000 Nodelocation: 48,32,1 Nodesize: 48,24 Valuestate: 2,296,306,416,303,0,MEAN Variable Hair__iq Title: Hair->IQ Description: Study (REF #1) finds that prenatal MeHg exposure sufficie~~ nt to~ increase the concentration of mercury in maternal hair at parturition~~ by 1 ug/g decreases IQ by 0.7 points. This paper identifies importan~~ t sources of uncertainty influencing this estimate, concluding that t~~ he plausible range of values for this loss is 0 to 1.5 IQ points. Definition: Triangular( -1.5, -0.7, 0 )*Blood__hair Nodelocation: 48,24,1 Nodesize: 48,24 Valuestate: 2,504,514,416,303,0,MEAN Reference: Cohe~~ n2005a Close Old Close Mahaffey_and_mergle1 Variable Tri Title: Tri Definition: 0.95*250*Triangular( 0, 0.7, 1.5 ) Nodelocation: 336,48,1 Nodesize: 48,24 Valuestate: 2,168,178,416,303,0,MEAN Variable Er Title: er Definition: 0.73/250/0.95*1000 Nodelocation: 224,48,1 Nodesize: 48,24 Close Old1 Variable Uncerainty_of_blood_ Title: Uncerainty of blood-hair Description: Slope factors from different studies for blood to hair ra~~ tios. Definition: Table(Studies2)(~ 0.3,0.25,0.26,0.28,0.23,0.14,0.23,0.25,0.37,0.34) Nodelocation: 472,152,1 Nodesize: 48,24 Windstate: 2,193,365,476,224 Valuestate: 2,390,35,416,303,0,MIDM Nodecolor: 49151,49151,49151 Att__totalsindex: Index Studies2 {!40000|Att_previndexvalue: ['item 1']} Index Studies2 Title: Blood-hair Studies Definition: ['Canada','Japan','Nederlands','Sweden1','Sweden2','Sweden~~ 3','Sweden4','UK1','UK2','Yugoslavia'] Nodelocation: 472,192,1 Nodesize: 48,21 Nodecolor: 49151,49151,49151 {!40000|Att_previndexvalue: ['Canada','Japan','Nederlands','Sweden1','~~ Sweden2','Sweden3','Sweden4','UK1','UK2','Yugoslavia']} Variable Sd_blood_hair Title: SD blood-hair Description: Standard deviation of test results. This can be used to m~~ odel uncertainty. For example ratio 1:250 could be modelled as normal~~ distribution with SD of value from this node. Definition: var a:=Uncerainty_of_blood_; {variable}~ var b:=sum(a); {sum of variable}~ var c:=b/size(a); {mean of variable}~ var d:=(a-c)^2; {squared of deduction}~ var e:= sum(d);~ sqrt(e/(size(a)-1)) Nodelocation: 592,152,1 Nodesize: 48,24 Windstate: 2,144,353,476,267 Valuestate: 2,634,365,416,303,0,MIDM Nodecolor: 49151,49151,49151 Att__totalsindex: Index Studies2 Variable Nor Title: nor Definition: normal(Blood_hair,Sd_blood_hair) Nodelocation: 592,80,1 Nodesize: 48,24 Valuestate: 2,232,242,416,303,1,PDFP Nodecolor: 49151,49151,49151 Text Te13 Description: Uncertainty analysis of blood to hair? Nodelocation: 536,128,-1 Nodesize: 120,100 Text Te15 Description: Interesting reading material about the MeHg exposure resp~~ onse Nodelocation: 288,176,-1 Nodesize: 116,152 Close Erf_pollutants Close Dose_responses Module Exposures Title: Exposures Description: Exposures from methyl mercury and DHA. Two different ways~~ of using fish consumption data. The one on the right uses fish consu~~ mption data to form four fish consumption scenarios (High, average, a~~ nd low for pregnant women, plus one for the general population. The o~~ ne on the left creates lognormal distributions out of fish consumptio~~ n data (with only two consumption scenarios i.e. General population a~~ nd Pregnant women). Author: olex Date: Fri, Nov 24, 2006 8:48 AM Defaultsize: 48,24 Nodelocation: 112,232,1 Nodesize: 48,24 Diagstate: 1,93,369,530,427,17 Variable Bw Title: Bw Units: kg Description: Average body weight of finnish people. Should there be av~~ erage weight of a pregnant mother in Finland as well? Definition: 70 Nodelocation: 272,96,1 Nodesize: 48,16 Nodeinfo: 1,1,1,1,1,1,0,0,0,0 Windstate: 2,505,326,489,305 Valuestate: 2,200,210,416,303,0,MEAN Nodecolor: 65535,52427,65534 Module Alternative_exposure Title: Using fish consumption distributions Description: The default way of using the fish consumption data with t~~ he fish consumption distribution (by species) and examining fractiles~~ (i.e. low & high consumption) when needed if needed to compare high~~ or low fish consumption. Author: olex Date: Tue, May 27, 2008 8:15 AM Defaultsize: 48,24 Nodelocation: 120,96,1 Nodesize: 52,28 Diagstate: 1,486,211,675,553,17 Nodecolor: 45875,45875,45875 Variable Exposure_domestic_fi Title: Exposure domestic fish Units: mg/kg bodyweight/d Description: Exposures due to Finnish fish consumption. Methyl mercury~~ and DHA Definition: Concentrationdata*Domestic_fish_cons/365/BW Nodelocation: 128,64,1 Nodesize: 48,24 Windstate: 2,52,320,476,224 Valuestate: 2,485,1,473,518,0,MEAN Reformval: [Substances,Fishspecies] Att__totalsindex: Index Fishspecies {!40000|Att_resultslicestate: [Gen_preg,2,Fishspecies,1,Substances,1]}~~ Variable Exposure_imported_fi Title: Exposure imported fish Units: mg/kg bodyweight/d Description: Exposure from imported fish. Methyl mercury and DHA. Definition: Conc_of_hg__dha_n_3_*Imp_fish_cons/365/BW Nodelocation: 360,64,1 Nodesize: 48,24 Valuestate: 2,489,417,454,251,0,MEAN Reformval: [Substances,Imported_species] Att__totalsindex: Index Imported_species {!40000|Att_resultslicestate: [Gen_preg,2,Imported_species,4,Sys_local~~ index('PROBABILITY'),1,Substances,3]} Objective Total_exposure2 Title: Total exposures 2 Units: mg/kg bodyweight/d Description: Total exposures of MeHg, DHA, and omega-3 in Finland 2006~~ . This node is used for further calculations in the other modules of ~~ the model.~ ~ This is also an interesting intermediate result of the model. Definition: {sum(Exposure_domestic_fi,fishspecies)+sum(Exposure_import~~ ed_fi,imported_species)}~ index species:= concat(fishspecies,imported_species);~ var a:= Exposure_domestic_fi[fishspecies=species];~ a:= if a=null then 0 else a;~ var b:= Exposure_imported_fi[imported_species=species];~ b:= if b=null then 0 else b;~ a+b Nodelocation: 248,144,1 Nodesize: 48,24 Nodeinfo: 1,1,1,1,1,1,0,,1, Windstate: 2,544,420,567,313 Valuestate: 2,439,11,461,651,0,MIDM Reformval: [Substances,Sys_localindex('SPECIES')] Displayoutputs: Constant Mehg_exposure_xx_xx_, Constant Dha_exposure_1__gene~~ Att__totalsindex: Object Index {!40000|Att_resultslicestate: [Gen_preg,2,Sys_localindex('SPECIES'),1,~~ Substances,2]} Constant Mehg_exposure_xx_xx_ Title: MeHg exposure 90%CI:~ 1) General population = 0.35-0.61 E-4~ ~ 2) Pregnant women = 0.18-0.75 E-4 mg/kg bw/day Nodelocation: 248,352,1 Nodesize: 48,106 Nodecolor: 65535,65532,19661 Displayinputs: Objective Total_exposure2 Displayoutputs: Constant U_s__epa_rfd___1_0e_ Constant U_s__epa_rfd___1_0e_ Title: U.S. EPA RfD = 1.0E-4 mg/kg bw/day Nodelocation: 392,352,1 Nodesize: 48,38 Displayinputs: Constant Mehg_exposure_xx_xx_ Constant Dha_recommendations Title: DHA recommendations = 4.3 mg/kg bw /day Description: Ref 1:~ Combined EPA+DHA:~ 0.65 g/day = 9.3 mg/kg bw /day (U.S.)~ ~ Ref 2:~ Pregnant mothers 200 mg/day~ ~ Ref 3:~ Target intake of DHA during pregnancy/lactation is approximately 300 ~~ mg/day (=4.3 mg/kg bw /day). ~ Nodelocation: 608,144,1 Nodesize: 48,46 Displayinputs: Constant Dha_exposure_1__gene Reference: Ref #1:~ http://www.ajcn.org/cgi/content/full/71/1/179S~ ~ Ref #2:~ http://www.happykidsclub.info/Baby-and-Pregnancy/Recommendation_Inter~~ national_Experts_Infant2611.html~ ~ Ref #3:~ http://dhaomega3.org/index.php?category=overview&title=Omega-3-Nutrit~~ ion-Gap-and-Recommended-Intakes Constant Dha_exposure_1__gene Title: DHA exposure~ 1) General population =~ 3.0 mg/kg bw/day~ 2) Pregnant women = 3.4 mg/kg bw /day Nodelocation: 488,144,1 Nodesize: 48,89 Nodecolor: 65535,65532,19661 Displayinputs: Objective Total_exposure2 Displayoutputs: Constant Dha_recommendations Close Alternative_exposure Module Using_fish_consumpti Title: Using fish consumption scenarios Description: An alternative way of using fish consumption data as cons~~ umption scenarios. They can be compared with each other at any stage ~~ of the model. Author: olex Date: Tue, May 27, 2008 8:15 AM Defaultsize: 48,24 Nodelocation: 424,96,1 Nodesize: 52,28 Diagstate: 1,6,438,550,422,17 Nodecolor: 45875,45875,45875 Constant Rfd Title: U.S.EPA RfD 1.0*10E-4 mg/kg bw/day Definition: Mehg_exposure__ Nodelocation: 440,336,1 Nodesize: 52,40 Reference: U.S.EPA Constant Mehg_exposure__ Title: MeHg exposures = 0.13-3.5 * 10E-4 mg/kg bw/day Description: Even the high consumption pregnant women subgroup stays w~~ ell under the EPA RfD of MeHg. Definition: {Exposure} Nodelocation: 280,336,1 Nodesize: 60,38 Nodecolor: 65535,65532,19661 Displayinputs: Objective Total_exposure1 Variable Exposure Title: Exposure from domestic fish Units: mg/kg bodyweight/d Description: Exposures due to Finnish fish consumption. Methyl mercury~~ and omega-3 fatty acids. Definition: Concentrationdata*Subgroupconsumption/365/BW Nodelocation: 408,152,1 Nodesize: 48,29 Windstate: 2,55,88,476,390 Defnstate: 2,248,258,911,303,0,MIDM Valuestate: 2,59,315,1007,461,0,MEAN Reformval: [Subpopulations,Fishspecies] Att__totalsindex: Index Fishspecies {!40000|Att_resultslicestate: [Substances,2,Fishspecies,0,Subpopulatio~~ ns,1]} Variable Exposure_from_import Title: Exposure from imported fish Units: mg/kg bodyweight/d Description: Exposure from imported fish in Finland. Definition: Conc_of_hg__dha_n_3_*Imported_fish_consum/365/BW Nodelocation: 152,152,1 Nodesize: 48,29 Windstate: 2,97,249,476,224 Valuestate: 2,53,390,1005,227,0,MIDM Reformval: [Subpopulations,Imported_species] Att__totalsindex: Index Imported_species {!40000|Att_resultslicestate: [Substances,3,Imported_species,1,Subpopu~~ lations,1]} Objective Total_exposure1 Title: Total exposures 1 Units: mg/kg bodyweight/d Description: Total exposures due to fish consumption in Finland. This ~~ node is used for further calculations in the other modules of the mod~~ el.~ ~ This is also an interesting intermediate result of the model. Definition: sum(Exposure,fishspecies)+sum(Exposure_from_import,importe~~ d_species) Nodelocation: 280,240,1 Nodesize: 48,29 Nodeinfo: 1,1,1,1,1,1,0,,1, Windstate: 2,542,250,476,224 Valuestate: 2,657,152,490,194,0,MEAN Reformval: [Substances,Subpopulations] Displayoutputs: Constant Mehg_exposure__ {!40000|Att_resultslicestate: [Subpopulations,4,Sys_localindex('PROBAB~~ ILITY'),1,Substances,1]} Module Old3 Title: Old Author: olex Date: Mon, May 26, 2008 8:37 AM Defaultsize: 48,24 Nodelocation: 408,72,1 Nodesize: 48,24 Nodecolor: 45875,45875,45875 Variable Dhaexposurefromimp Title: DHA exposure from imported fish Units: mg/kg bodyweight/d Description: TARKISTA YKSIKÖT!!!~ ~ Omega-3 exposure from the imported fish. Not used in later calculatio~~ ns. Definition: Imported_amouts*10000*N_3_conc_of_imported/365/BW Nodelocation: 232,144,1 Nodesize: 48,38 Windstate: 2,9,456,476,224 Valuestate: 2,590,2,584,303,0,MEAN Nodecolor: 49151,49151,49151 Att__totalsindex: Index Imported_species Constant Omega_3_exposure___1 Title: DHA exposure = 0.28-5.4 mg/kg bw/day Definition: {Exposure} Nodelocation: 56,48,1 Nodesize: 56,38 Nodecolor: 65535,65531,1 Displayinputs: Variable Dha_exposure Constant Recommendation____ Title: Recommendations Description: Recommendations for omega-3 intake of a child = 690-980 m~~ g/day (age 6-12 months), when lactating = 2200-2800 mg/day (intake ~~ of lactating mother)~ ~ Recommendations in kg/a:~ Child = 0.25 - 0.36 kg/a~ When lactating = 0.80 - 1.02 kg/a Definition: Omega_3_exposure___1 Nodelocation: 56,176,1 Nodesize: 48,36 Windstate: 2,128,438,474,368 Variable Mehg_exposure_from_i Title: MeHg exposure from imported fish Units: TARKISTA YKSIKÖT!!! Description: TARKISTA YKSIKÖT Definition: Mehg_in_imp_fish1*sum(Imported_fish_consum,Imported_specie~~ s)/365/BW Nodelocation: 360,144,1 Nodesize: 48,38 Windstate: 2,443,384,476,224 Valuestate: 2,126,411,1026,303,0,MEAN Nodecolor: 49151,49151,49151 Reformval: [Subpopulations,Imported_species] Att__totalsindex: Index Imported_species Variable Mehgexposure Title: Total MeHg ~ exposure Definition: Table(Subpopulations)(~ sum(Exposure[Substances='Methylmercury'],fishspecies),sum(Exposure[Su~~ bstances='Methylmercury'],fishspecies),sum(Exposure[Substances='Methy~~ lmercury'],fishspecies),(Sum(Exposure[Substances='Methylmercury'],Fis~~ hspecies)+Sum(Mehg_exposure_from_i))) Nodelocation: 360,48,1 Nodesize: 48,24 Windstate: 2,556,578,476,224 Defnstate: 2,551,233,684,303,0,MIDM Valuestate: 2,118,355,957,345,0,MEAN Nodecolor: 49151,49151,49151 Reformval: [Subpopulations,Imported_species] Att__totalsindex: Index Fishspecies {!40000|Att_resultslicestate: [Imported_species,4,Fishspecies,1,Subpop~~ ulations,1]} Variable Dha_exposure Title: Total DHA exposure Definition: Table(Subpopulations)(~ sum(Exposure[Substances='DHA'],fishspecies),sum(Exposure[Substances='~~ DHA'],fishspecies),sum(Exposure[Substances='DHA'],fishspecies),(Sum(E~~ xposure[Substances='DHA'],Fishspecies)+Sum(Dhaexposurefromimp))) Nodelocation: 232,48,1 Nodesize: 48,24 Windstate: 2,425,177,476,224 Defnstate: 2,102,467,719,303,0,MIDM Valuestate: 2,36,460,416,303,0,MEAN Nodecolor: 49151,49151,49151 Displayoutputs: Constant Omega_3_exposure___1 Close Old3 Close Using_fish_consumpti Text Te25 Description: Two ways to use fish consumption data to calculate the ex~~ posures (and health effects). The default way is located on the left,~~ and the alternative way (formation of consumption scenarios) is loca~~ ted on the right. Nodelocation: 272,32,-1 Nodesize: 204,36 Module Exposures_of_consump Title: Exposures of consumption scenarios Author: olex Date: Fri, Mar 13, 2009 9:57 AM Defaultsize: 48,24 Nodelocation: 272,256,1 Nodesize: 52,40 Diagstate: 1,448,518,550,300,17 Variable Exposure_to_mehg_dha Title: Exposure with consumption scenarios Units: mg/kg bodyweight /day Description: Concentrationdata*Domestic_fish_cons/365/BW~ ~ Conc_of_hg__dha_n_3_*Imp_fish_cons/365/BW Definition: Concentrationmehgdha*Fish_consumption1/365/BW Nodelocation: 240,104,1 Nodesize: 48,38 Windstate: 2,639,530,476,224 Valuestate: 2,25,5,464,303,0,MEAN Reformval: [Substance,Consumption_scenario,1] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Substance,2,Fish,0,Consumption_scenario~~ ,1,Sys_localindex('PROBABILITY'),1]} Variable Exposure_hypothetic Title: Exposure with hypothetical fish meal frequencies Description: c*Fish_consumption1/365/BW Definition: Concentrationmehgdha*Hypothetical_portions/365/BW Nodelocation: 376,112,1 Nodesize: 48,46 Windstate: 2,102,90,472,316 Valuestate: 2,20,130,1242,753,0,MEAN Graphsetup: {!40000|Att_graphvaluerange Exposure_hypothetic:1,,1,,,,,0~~ ,14}~ {!40000|Graph_keylabelcolor:65280,65280,65280}~ Showkey:2~ {!40000|Graph_framecolor:-5000,-5000,-5000}~ {!40000|Graph_gridcolor:-5000,-5000,-5000}~ {!40000|Graph_keytextcolor:-4000,-4000,-4000}~ {!40000|Graph_axistitlecolor:0,11264,10496}~ {!40000|Graph_axislabelcolor:-4000,-4000,-4000}~ {!40000|Graph_keytitlefont:,20,1}~ {!40000|Graph_keyfont:,18,1}~ {!40000|Graph_axislabelfont:,18,1}~ {!40000|Graph_axistitlefont:Arial,20,1}~ {!40000|Graph_plotareabrush:52530,-1,-1,2,1,31488,46592,59136}~ {!40000|Graph_pagebrush:20992,28928,37888,2,1,37888,49920,61184} Reformval: [Consumptionfrequency,Consumption_scenario] Att__totalsindex: Index Fish {!40000|Att_graphtemplate: Gst_afternoonbluesky} {!40000|Att_resultslicestate: [Fish,0,Substance,2,Consumption_scenario~~ ,4,Consumptionfrequency,1]} Close Exposures_of_consump Close Exposures Module Health_effects Title: Health effects Description: Collateral effects of methylmercury and DHA.on IQ Author: olex Date: Fri, Nov 24, 2006 8:48 AM Defaultsize: 48,24 Nodelocation: 112,408,1 Nodesize: 48,24 Diagstate: 1,216,-3,713,581,17 Variable Log1 Title: log Description: Miten määritellään tässä population at risk. Ovatko~ 1) lastentekoiässä olevat naiset ja heidän kalaa syövä osuus. ~ 2) Raskaana olevat naiset~ 3) Lapset (esim. alle 2v) + raskaana olevat~ 4) Joku muu, mikä? Nodelocation: 624,24,1 Nodesize: 52,12 Nodecolor: 65535,59795,19661 Variable Dha_benefits Title: DHA benefits on IQ using consumption scenarios Units: +IQ Definition: Exposure_to_mehg_dha[Substance='DHA']*bw*Exprespdha/100 Nodelocation: 80,497,1 Nodesize: 56,38 Valuestate: 2,351,363,500,561,0,MEAN Nodecolor: 45875,45875,45875 Reformval: [Consumption_scenario,Fish,1] Att__totalsindex: Index Fishspecies, Index Fish Module Combining_studies Title: Using both E-R for MeHg plus importance analysis Description: A module to combine two expousre-responses. There are two~~ ways suggested: ~ a) using bernoulli distribution~ b) using uniform distribution~ The idea is that we don't know which way is the best way to do this, ~~ thus we maximize the uncertainty of that.~ ~ A sensitivity analysi (importance) is located on the right. Author: olex Date: Mon, Aug 27, 2007 8:08 AM Defaultsize: 48,24 Nodelocation: 232,496,1 Nodesize: 48,46 Diagstate: 1,20,-8,989,569,17 Nodecolor: 45875,45875,45875 Objective Risk_benefit Title: Risk-benefit result table of MeHg and Omega-3 fatty acids Description: This result table shows risks and benefits.~ ~ Actually, general population is not a relevant comparison here as the~~ y do not pass on the IQ effect to children like pregnant women do. Ho~~ wever, they act as a consumption scenario. Definition: Table(Risk_benefit1)(~ Risk_combined_studie,Dha_benefits) Nodelocation: 672,280,1 Nodesize: 48,46 Windstate: 2,191,466,476,403 Defnstate: 2,698,330,416,303,0,MIDM Valuestate: 2,13,-3,671,617,0,MEAN Nodecolor: 45875,45875,45875 Reformval: [Risk_benefit1,Fish] Displayoutputs: Constant Plussalla_ {!40000|Att_graphvaluerange: 1,,0,,,,,-2,2} {!40000|Att_resultslicestate: [Consumption_scenario,2,Fish,1,Risk_bene~~ fit1,0]} Log: 25.7.2007 Olli Leino~ One of the first results tells that Methylmercury exposure causes IQ ~~ decrease on 0.26 points and omega-3 fatty acids give IQ increase of 0~~ .16 points. So, the balance is towards risks. Index Risk_benefit1 Title: Risk/benefit Definition: ['Risk','Benefit'] Nodelocation: 664,344,1 Nodesize: 48,16 Nodecolor: 45875,45875,45875 {!40000|Att_previndexvalue: ['Risk','Benefit']} Chance Risk_combined_studie Title: Combining information of the two exposure response studies Units: IQ points decrease Description: Bernoulli distribution to select which study to weigh mor~~ e. Value 0.5 sets equal weight on the both studies.~ ~ var a:= bernoulli(0.5) ;~ var b:= a*Methymercury_risks[Studies1='Cohen']+ (1-a)*Methymercury_ri~~ sks[Studies1='Axelrad'];~ b Definition: var a:= bernoulli(0.5) ;~ var b:= a*Methymercury_risks[Studies1='Cohen']+ (1-a)*Methymercury_ri~~ sks[Studies1='Axelrad'];~ b Nodelocation: 464,280,1 Nodesize: 60,48 Windstate: 2,307,562,507,340 Valuestate: 2,175,181,839,625,0,CONF Nodecolor: 45875,45875,45875 Reformval: [Undefined,Fish,1] Displayoutputs: Variable Unc_inputs Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,2,Fish,1,Sys_local~~ index('PROBABILITY'),1]} Variable Methymercury_risks Title: Methymercury risks on IQ Description: In this table you can enter several exposure-response res~~ ults to be assimilated to one exposure-response result. Definition: Table(Studies1)(~ Iq_effects,iq_change) Nodelocation: 272,280,1 Nodesize: 52,24 Defnstate: 2,203,574,416,303,0,MIDM Valuestate: 2,328,188,515,209,0,MEAN Nodecolor: 45875,45875,45875 Reformval: [Studies1,Gen_preg] {!40000|Att_resultslicestate: [Gen_preg,2,Sys_localindex('PROBABILITY'~~ ),1,Studies1,1]} Index Studies1 Title: Studies Definition: ['Cohen','Axelrad'] Nodelocation: 264,312,1 Nodesize: 48,12 Windstate: 2,424,602,476,224 Nodecolor: 45875,45875,45875 {!40000|Att_previndexvalue: ['Cohen','Axelrad']} Variable Unc_inputs Title: Unc inputs Description: List of uncertain inputs 26.5.2008:~ Mehg_proportion~ Hg_in_imp_fish~ N_3_conc_of_imported~ Hg in domestic fish~ Concentrationdata[Substances='DHA']~ Filletingfactor~ Domfishconspreg~ Importedpregnant~ Exprespn3~ Cohen~ Axelraddistribution~ Singlecompartment~ ~ Seuraavista jompikumpi~ 1) Risk_combined_studie~ 2) Combined_e_r~ Definition: Table(Uncertain_inputs)(~ Mehg_proportion,Exprespdha,Axelraddistribution,Cohen,Risk_combined_st~~ udie,Concentrationdata[Substances='DHA'],Domesticpregnant,V,B,N_3_con~~ c_of_imported,F,Blood_hair_ratio,Evaluation error: ~ Unimplemented term type in print.~ ) Nodelocation: 800,280,1 Nodesize: 48,24 Windstate: 2,579,365,505,388 Defnstate: 2,327,261,699,417,0,MIDM Valuestate: 2,-101,48,1284,421,0,MIDM Nodecolor: 45875,45875,45875 Reformval: [Uncertain_inputs,Fishspecies] Displayinputs: Variable Concentrationdata, Index Substances, Variable~~ N_3_conc_of_imported, Variable Domesticpregnant, Variable Exprespdha~~ , Variable Cohen, Chance B, Chance F, Chance V, Variable Axelraddistribution~~ , Chance Blood_hair_ratio, Chance Risk_combined_studie, Index Uncertain_inputs~~ , Chance Mehg_proportion {!40000|Att_resultslicestate: [Imported_species,6,Gen_preg,2,Fishspeci~~ es,1,Uncertain_inputs,1]} Variable Importance Title: Importance Definition: Abs( RankCorrel(unc_inputs,Risk_benefit) ) Nodelocation: 800,208,1 Nodesize: 48,24 Valuestate: 2,0,875,1284,478,0,MIDM Nodecolor: 45875,45875,45875 Reformval: [Uncertain_inputs,Fishspecies] Displayoutputs: Constant Imported_fish_consu1 {!40000|Att_resultslicestate: [Risk_benefit1,2,Gen_preg,1,Imported_spe~~ cies,1,Fishspecies,1,Uncertain_inputs,3]} Reference: Importance Constant Exposure_responses_c Title: Exposure-responses contribute the most to the uncertainty of th~~ e model Description: Variables high in importance:~ ~ Exp resp DHA (scenario general population 0.935, and scenario pregnan~~ t women 0.524) ~ ~ V (0.17) ~ ~ DHA_conc_of_importd (0.27 and scenario Tuna 0.13, and scenario Tuna G~~ eneral population 1.5)~ ~ Hg_in_imp_fish (0.1387 and 0.18) ~ ~ Axelraddistribution (0.26 and 0.24)~ ~ Risk combined_studie (1 and 1)~ ~ importedpregnant (0.20)~ ~ Cohen (0.33)~ ~ Hg_imp_fish (scenario Tuna 0.14 and scenario Others & General populat~~ ion 0.18)~ Nodelocation: 936,80,1 Nodesize: 48,55 Windstate: 2,102,90,521,543 Nodecolor: 45875,45875,45875 Displayinputs: Constant Imported_fish_consu1 Displayoutputs: Constant Toxicological_inform Text Te8 Description: Uniform distribution used for E-R of a risk estimate Nodelocation: 368,488,-1 Nodesize: 156,92 Variable Combined_e_r Title: Combined risk E-R Definition: uniform(Iq_effects,iq_change) Nodelocation: 280,456,1 Nodesize: 48,24 Valuestate: 2,317,471,381,256,0,MEAN Nodecolor: 45875,45875,45875 Graphsetup: {!40000|Att_graphvaluerange Combined_e_r:1,,0,,,,,-1,0.2}~ {!40000|Att_contlinestyle Graph_pdf_valdim:6} Reformval: [Undefined,Sys_localindex('SPECIES'),Undefined,Undefined,1]~~ Objective B_r Title: Fish consumption benefit-risk table Units: IQ points Description: Benefit-Risk results~ ~ Actually, general population is not a relevant comparison here as the~~ y do not pass on the IQ effect to children like pregnant women do. Ho~~ wever, they act as a consumption scenario. Definition: Table(Risk_benefit1)(~ -Combined_e_r,Dha_benefits) Nodelocation: 416,456,1 Nodesize: 48,38 Valuestate: 2,61,61,446,594,0,MEAN Nodecolor: 45875,45875,45875 Graphsetup: {!40000|Att_catlinestyle Graph_primary_valdim:9}~ {!40000|Att_graphvaluerange B_r:1,,1,,,,,-2,2}~ {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,0,20} Reformval: [Risk_benefit1,Sys_localindex('SPECIES')] Displayoutputs: Constant Miinuksella_ Att__totalsindex: Index Risk_benefit1 {!40000|Att_resultslicestate: [Gen_preg,1,Risk_benefit1,0,Sys_localind~~ ex('SPECIES'),1]} Text Te17 Description: Bernoulli 0.5 used for selecting E-R study (Axelrad OR Co~~ hen) Nodelocation: 464,256,-1 Nodesize: 268,108 Nodecolor: 45875,45875,45875 Constant Plussalla_ Title: Approximately zero result Description: 26.5.2008~ Results:~ General population -0.047~ Pregnant women -0.025 Nodelocation: 672,184,1 Nodesize: 52,24 Nodecolor: 45875,45875,45875 Displayinputs: Objective Risk_benefit Constant Miinuksella_ Title: Approximately zero result Description: 26.5.2008~ Results:-~ General population 0.044~ Pregnant women -0.021~ Nodelocation: 416,544,1 Nodesize: 52,24 Nodecolor: 45875,45875,45875 Displayinputs: Objective B_r Constant Toxicological_inform Title: Toxicological information drives the results over the fish data~~ Description: Uncertainties in the exposure-responsies are high, as wel~~ l as the selection of the exposure-response for MeHg risk (bernoulli ~~ 0.5). Nodelocation: 936,216,1 Nodesize: 48,55 Nodecolor: 45875,45875,45875 Displayinputs: Constant Exposure_responses_c Text Te26 Description: There are two different ways proposed here to combine the~~ two different E-R functions of MeHg. Nodelocation: 96,224,-1 Nodesize: 52,80 Nodecolor: 45875,45875,45875 Constant Imported_fish_consu1 Title: High correlations: all E-Rs, blood to hair ratio,combination te~~ rm,imported pregnant, Nodelocation: 800,81,1 Nodesize: 48,72 Nodecolor: 45875,45875,45875 Displayinputs: Variable Importance Displayoutputs: Constant Exposure_responses_c Objective Totalhealheffects Title: Total health effects of species Definition: var a:=Risk_benefit[Risk_benefit1='Benefit'];~ var b:=Risk_benefit[Risk_benefit1='Risk'];~ a-b Nodelocation: 672,416,1 Nodesize: 48,29 Valuestate: 2,9,21,1260,679,0,CONF Nodecolor: 45875,45875,45875 Graphsetup: {!40000|Att_catlinestyle Graph_primary_valdim:9}~ {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,0,2}~ {!40000|Att_graphvaluerange Totalhealheffects:1,,0,,,,,-0.1,0.1} Reformval: [Undefined,Fish,1] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,2,Fish,1,Sys_local~~ index('PROBABILITY'),1]} Constant Excel__sheet_with_fi Title: Create an excel -sheet with fish consumption (portions per week~~ ) on the x-axis and benefit-risk on the y-axis Nodelocation: 808,424,1 Nodesize: 48,80 Nodecolor: 45875,45875,45875 Close Combining_studies Text Te9 Description: Benefit-Risk result tables using two different exposure-r~~ esponse functions for MeHg risk (Cohen 2005 and Axelrad 2007): Nodelocation: 496,216,-1 Nodesize: 68,208 Constant Domingo_et_al_2007b Title: Domingo et al 2007a Nodelocation: 624,120,1 Nodesize: 48,24 Reference: Domingo et al2007a Constant Domingo_et_al_2007b1 Title: Domingo et al 2007b Nodelocation: 624,176,1 Nodesize: 48,24 Reference: Domingo_et_al2007b Constant Stern2007 Title: Stern2007 Nodelocation: 624,232,1 Nodesize: 48,24 Reference: Stern2007 Text Te12 Description: Interesting reading Nodelocation: 632,296,-1 Nodesize: 60,240 Constant Brunner2006 Title: Brunner2006 Nodelocation: 624,296,1 Nodesize: 48,24 Reference: Brunner2006 Constant U_s_epa Title: U.S.EPA 2000 Nodelocation: 624,400,1 Nodesize: 48,24 Displayinputs: Constant Lue_ Reference: http://www.epa.gov/NCEA/pdfs/methmerc.pdf Constant Lue_ Title: Lue! Nodelocation: 624,464,1 Nodesize: 48,24 Displayoutputs: Constant U_s_epa Module Other_ideas Title: Other ideas for representing results Description: What might be an interestig way of presenting the reslult~~ s. Author: olex Date: Mon, Apr 07, 2008 10:23 AM Defaultsize: 48,24 Nodelocation: 72,408,1 Nodesize: 48,38 Diagstate: 1,1,1,583,593,17 Nodecolor: 45875,45875,45875 Variable Totalmothers Title: Total number of mothers in chlidbearing age Units: # Description: Women at childbearing age.~ ~ NOTE: Value is arbitrary Definition: 1000000 Nodelocation: 296,280,1 Nodesize: 48,38 Windstate: 2,471,382,476,330 Valuestate: 2,80,492,216,144,0,MIDM Nodecolor: 65535,52427,65534 Reference: www.stat.fi & http://www.who.int Variable Fishconsumingmothers Title: Fish consuming mothers in childbearing age Units: % Description: Percentage of mothers who eat fish during the pregnancy.~ ~ NOTE: Value is arbitrary Definition: 0.9 Nodelocation: 112,272,1 Nodesize: 48,46 Windstate: 2,90,384,508,437 Valuestate: 2,251,555,248,179,0,MIDM Nodecolor: 65535,52427,65534 Reference: WHO Text Te7 Description: Public heatlh view: ~ Is this a sensible idea? Nodelocation: 212,192,-1 Nodesize: 164,168 Text Te11 Description: DALY calculation for the effects? Nodelocation: 504,112,-1 Nodesize: 60,20 Variable Children_born_year Title: Children born/year Nodelocation: 304,72,1 Nodesize: 48,24 Nodecolor: 65535,52427,65534 Constant Monetarisation_ Title: Monetasation? Description: How much an IQ point loss costs?~ ~ What would be the costs of each pregnant mother consumption scenario ~~ and most interestingely what would be 5% and 95% CI. If all percentil~~ es are positive, then particular fish consumptin scenario is recommen~~ ded. If all not, then recommended with varauksella. If 50% percentile~~ <0, then not recommended. Nodelocation: 504,40,1 Nodesize: 52,24 Close Other_ideas Objective Using_cohen_2005_exp Title: Using ~ Cohen 2005 exp-resp Units: IQ points Description: Alternative result of benefit-risk analysis using Cohen e~~ t al for MeHg exposure-response function.~ ~ Actually, general population is not a relevant comparison here as the~~ y do not pass on the IQ effect to children like pregnant women do. Ho~~ wever, they act as a consumption scenario. Definition: Table(Risk_benefit1)(~ Iq_effects,Dha_benefits) Nodelocation: 232,592,1 Nodesize: 48,29 Defnstate: 2,646,398,416,303,0,MIDM Valuestate: 2,462,262,359,322,0,CONF Nodecolor: 45875,45875,45875 Reformval: [Risk_benefit1,Fish,0] {!40000|Att_resultslicestate: [Gen_preg,2,Sys_localindex('PROBABILITY'~~ ),1,Risk_benefit1,1]} Objective Using_axelrad_2007_e Title: Using Axelrad 2007 exp-resp Units: IQ points Description: Result of benefit-risk analysis using Axelrad et al for M~~ eHg exposure-response function. ~ ~ Actually, general population is not a relevant comparison here as the~~ y do not pass on the IQ effect to children like pregnant women do. Ho~~ wever, they act as a consumption scenario. Definition: Table(Risk_benefit1)(~ iq_change,Dha_benefits) Nodelocation: 232,400,1 Nodesize: 48,29 Valuestate: 2,461,336,636,463,0,MEAN Nodecolor: 45875,45875,45875 Reformval: [Risk_benefit1,Fish,0] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,3,Fish,7,Risk_bene~~ fit1,1]} Variable Dha_benefits_on_iq Title: DHA benefits on IQ using hypothetical meals frequencies Description: Exposure_to_mehg_dha[Substance='DHA']*bw*Exprespdha/100 Definition: Exposure_hypothetic[Substance='DHA']*bw*Exprespdha/100 Nodelocation: 376,264,1 Nodesize: 48,46 Windstate: 2,398,644,476,224 Valuestate: 2,156,31,920,303,0,MEAN Reformval: [Consumptionfrequency,Fish] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,1,Fish,1,Consumpti~~ onfrequency,1]} Objective With_axelrad_exp_res Title: With Axelrad exp-resp Definition: Table(Risk_benefit1)(~ Mehg_risk_using_Axel,Using_only_consumpti) Nodelocation: 488,160,1 Nodesize: 48,24 Windstate: 2,297,5,476,224 Defnstate: 2,132,666,416,303,0,MIDM Valuestate: 2,89,419,937,417,0,MEAN Reformval: [Consumptionfrequency,Fish,Undefined,Undefined,1] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Risk_benefit1,2,Consumption_scenario,4,~~ Fish,1,Consumptionfrequency,1]} Objective With_cohen_exp_resp Title: With Cohen exp-resp Definition: Table(Risk_benefit1)(~ Mehg_risk_using_Cohe,Using_only_consumpti) Nodelocation: 488,336,1 Nodesize: 48,24 Defnstate: 2,755,339,416,303,0,MIDM Valuestate: 2,280,290,729,414,0,MEAN Reformval: [Consumptionfrequency,Fish] {!40000|Att_resultslicestate: [Risk_benefit1,1,Consumption_scenario,4,~~ Fish,1,Consumptionfrequency,1]} Module Combination_of_cohen Title: Combination of Cohen and Axelrad E-R function Author: olex Date: Fri, Mar 20, 2009 10:10 AM Defaultsize: 48,24 Nodelocation: 496,256,1 Nodesize: 52,40 Diagstate: 1,4,16,698,577,17 Index Uncertain_inputs Title: Uncertain inputs Description: 1.7.2008 Olli Leino~ Blood to hair should be here also. Definition: ['MeHg proportion','Exp resp n3','Axelraddistribution','Co~~ hen','Risk_combined_studie','Concentrationmehgdha[Substance=’MeHg’]',~~ 'Blood Volume','Elimination constant','Absorption constant','Blood to~~ hair ratio','Fish consumption'] Nodelocation: 200,248,1 Nodesize: 56,12 Windstate: 2,467,32,503,368 Valuestate: 2,287,373,416,303,0,MIDM Nodecolor: 39321,39325,65535 Displayoutputs: Variable Unc_inputs {!40000|Att_previndexvalue: ['MeHg proportion','Exp resp n3','Axelrad~~ distribution','Cohen','Risk_combined_studie','Concentrationmehgdha[Su~~ bstance=’MeHg’]','Blood Volume','Elimination constant','Absorption co~~ nstant','Blood to hair ratio','Fish consumption']} Variable Methymercury_risks1 Title: Methymercury risks on IQ Description: In this table you can enter several exposure-response res~~ ults to be assimilated to one exposure-response result. Definition: Table(Studies3)(~ Iq_effects,Iq_change) Nodelocation: 64,80,1 Nodesize: 52,24 Defnstate: 2,10,633,416,303,0,MIDM Valuestate: 2,328,188,544,435,0,MEAN Reformval: [Studies3,Fish] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,1,Fish,1,Studies3,~~ 1]} Index Risk_benefit2 Title: Risk/benefit Definition: ['Risk','Benefit'] Nodelocation: 344,144,1 Nodesize: 48,16 Windstate: 2,447,356,476,224 {!40000|Att_previndexvalue: ['Risk','Benefit']} Variable Risk_benefit3 Title: Risk-benefit result table of MeHg and Omega-3 fatty acids Description: This result table shows risks and benefits.~ ~ Actually, general population is not a relevant comparison here as the~~ y do not pass on the IQ effect to children like pregnant women do. Ho~~ wever, they act as a consumption scenario. Definition: Table(Risk_benefit2)(~ Risk_combined_studi1,Using_only_consumpti) Nodelocation: 352,80,1 Nodesize: 48,46 Windstate: 2,191,466,476,403 Defnstate: 2,29,758,416,303,0,MIDM Valuestate: 2,13,-3,856,350,0,MEAN Reformval: [Consumption_scenario,Fish] Att__totalsindex: Index Fish {!40000|Att_graphvaluerange: 1,,0,,,,,-2,2} {!40000|Att_resultslicestate: [Risk_benefit2,2,Fish,1,Consumption_scen~~ ario,1]} Log: 25.7.2007 Olli Leino~ One of the first results tells that Methylmercury exposure causes IQ ~~ decrease on 0.26 points and omega-3 fatty acids give IQ increase of 0~~ .16 points. So, the balance is towards risks. Chance Risk_combined_studi1 Title: Combining information of the two exposure response studies Units: IQ points decrease Description: Bernoulli distribution to select which study to weigh mor~~ e. Value 0.5 sets equal weight on the both studies.~ ~ var a:= bernoulli(0.5) ;~ var b:= a*Methymercury_risks[Studies1='Cohen']+ (1-a)*Methymercury_ri~~ sks[Studies1='Axelrad'];~ b Definition: var a:= bernoulli(0.5) ;~ var b:= a*Methymercury_risks1[Studies3='Cohen']+ (1-a)*Methymercury_r~~ isks1[Studies3='Axelrad'];~ b Nodelocation: 200,80,1 Nodesize: 60,48 Windstate: 2,365,328,507,340 Valuestate: 2,175,181,839,625,0,CONF Graphsetup: {!40000|Att_graphvaluerange Risk_combined_studi1:1,,0,,,,,~~ 0,0.5}~ {!40000|Att_contlinestyle Graph_pdf_valdim:6} Reformval: [Undefined,Fish,1,Undefined,1] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,2,Fish,1,Sys_local~~ index('PROBABILITY'),1]} Index Studies3 Title: Studies Definition: ['Cohen','Axelrad'] Nodelocation: 56,112,1 Nodesize: 48,12 Windstate: 2,424,602,476,224 {!40000|Att_previndexvalue: ['Cohen','Axelrad']} Objective Totalhealheffects1 Title: Total health effects of species Definition: var a:=Risk_benefit3[Risk_benefit2='Benefit'];~ var b:=Risk_benefit3[Risk_benefit2='Risk'];~ a-b Nodelocation: 488,80,1 Nodesize: 48,29 Windstate: 2,38,480,476,224 Valuestate: 2,168,120,1044,730,0,STAT Graphsetup: {!40000|Att_contlinestyle Graph_pdf_valdim:6}~ {!40000|Att_graphvaluerange Totalhealheffects1:1,,1,,,,,-1.5,1.5}~ {!40000|Att_graphvaluerange Totalhealheffects:1,,0,,,,,-0.1,0.1}~ {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,1,1,,,,0,1000} Reformval: [Fish,Consumption_scenario,2,2,1] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,4,Sys_localindex('~~ STATISTICS'),1,Fish,0]} Variable Unc_inputs1 Title: Unc inputs Description: List of uncertain inputs 26.5.2008:~ Mehg_proportion~ Hg_in_imp_fish~ N_3_conc_of_imported~ Hg in domestic fish~ Concentrationdata[Substances='DHA']~ Filletingfactor~ Domfishconspreg~ Importedpregnant~ Exprespn3~ Cohen~ Axelraddistribution~ Singlecompartment~ ~ Seuraavista jompikumpi~ 1) Risk_combined_studie~ 2) Combined_e_r~ Definition: Table(Uncertain_inputs)(~ Mehg_proportion,Exprespdha,Axelraddistribution,Cohen,Risk_combined_st~~ udi1,Concentrationmehgdha[Substance='MeHg'],V,B,F,Blood_hair_ratio,Fi~~ sh_consumption1) Nodelocation: 200,216,1 Nodesize: 48,24 Windstate: 2,591,27,505,388 Defnstate: 2,327,261,699,417,0,MIDM Valuestate: 2,-24,10,1284,421,0,MIDM Nodecolor: 19661,48336,65535 Reformval: [Uncertain_inputs,Fish] {!40000|Att_resultslicestate: [Consumption_scenario,3,Consumptionfrequ~~ ency,4,Fish,1,Uncertain_inputs,1]} Variable Importance1 Title: Importance Definition: Abs( RankCorrel(unc_inputs1,Risk_benefit3) ) Nodelocation: 352,216,1 Nodesize: 48,24 Windstate: 2,117,375,476,224 Valuestate: 2,-62,54,1284,478,0,MIDM Nodecolor: 19661,48336,65535 Reformval: [Uncertain_inputs,Fish] {!40000|Att_resultslicestate: [Risk_benefit2,2,Consumption_scenario,3,~~ Consumptionfrequency,7,Fish,1,Uncertain_inputs,3]} Reference: Importance Objective All_species_net_eff Title: All species net effects Definition: var a:=sum(Totalhealheffects1,fish);~ var b:=a[Consumptionfrequency='Four times a month'];~ b Nodelocation: 616,80,1 Nodesize: 48,24 Valuestate: 2,48,149,1210,632,0,MEAN Graphsetup: {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,1,1,,,,-2~~ ,2}~ {!40000|Att_graphvaluerange All_species_net_eff:1,,0,,,,,-2,2} Reformval: [Consumption_scenario,Consumption_scenario,Undefined,2] Function Voi(out:prob;deci:indextype;input:prob;input_ind:indextype;cl~~ asses) Title: VOI Description: Muuta parametrit oikeiksi ylläolevaan~ ~ Value of information (VOI) Version 2.~ ~ This function calculates the total VOI (expected value of perfect inf~~ ormation, EVPI) for a given decision, and VOI (expected value of part~~ ial perfect information, EVPPI) for certain variables. The outcome to~~ be optimised is out; the decision to be made must be indexed by deci~~ ; the variables for EVPPI calculation must be listed in input, which ~~ is indexed by input_ind. The solution is numerical, and for this purp~~ ose, the outcome is classified into a number of bins (the number is d~~ efined by classes, which may be a number or an array of numbers). The~~ VOI function assumes that costs are calculated and that the correct ~~ optimising function is MIN.~ ~ Procedure~ ~ First, a new index is generated. It contains 'Total VOI' in the first~~ row and the EVPPI variables in the subsequent rows. Then, net cost u~~ nder uncertainty (ncuu) and evpi are calculated. ~ ~ The rest of the procedure is calculated separetely for each value of ~~ classes.~ Varia is a temporary index that has classes number of bins.~ Each iteration is located in one of the bins depending on the value o~~ f input. After this classification, the value of out is located into ~~ the bin for that iteration. When the mean is taken, the result is the~~ average of outcome multiplied by the probability that the true value~~ of input is in the same bin. The best decision is made given the bin~~ , and then the expected outcomes of each bin are summed up. When ncuu~~ is subtracted from this value, we get EVPPI. Finally, the EVPI and E~~ VPPI are concatenated into a single index.~ ~ It may be a good idea to include a row 'Blank' in the input_ind and u~~ se it for a random variable that is NOT part of the model. This gives~~ a rough estimate on how much random noise may produce VOI in the sys~~ tem. It might also be good to use different values for Classes, becau~~ se there may be numerical instability with low iteration numbers, and~~ it is not obvious what low is in each case.~ ~ Developed by Jouni Tuomisto and Marko Tainio, National Public Health ~~ Institute (KTL), Finland, 2005.~ ~ (out:prob;deci:indextype;input:prob;input_ind:indextype;classes) Definition: index a:= ['Total VOI'];~ index variable:= concat(a,input_ind); ~ var ncuu:= min(mean(sample(out)),deci);~ var evpi:= (if a='Total VOI' then mean(min(sample(out),deci))-ncuu el~~ se 0);~ ~ for x[]:= classes do (~ index varia:= sequence(1/x,1,1/x);~ var evppi:= ceil(rank(input,run)*x/samplesize)/x;~ evppi:= if evppi=Varia then out else 0;~ evppi:= sum(min(mean(evppi),deci),varia)-ncuu;~ concat(evpi,evppi,a,input_ind,variable) ) Nodelocation: 608,440,1 Nodesize: 48,24 Windstate: 2,29,314,575,528 Paramnames: out,deci,input,input_ind,classes Variable Voi1 Title: VOI Definition: Voi(-All_species_net_eff,Consumption_scenario,Unc_inp,Unce~~ rtain_inputs,Classes) Nodelocation: 480,368,1 Nodesize: 48,24 Windstate: 2,148,455,476,224 Valuestate: 2,520,161,589,590,1,MIDM Reformval: [Classes,Sys_localindex('VARIABLE')] {!40000|Att_resultslicestate: [Fish,9,Sys_localindex('VARIABLE'),1,Classes~~ ,1]} Variable Classes Title: Classes Definition: [17,29] Nodelocation: 616,368,1 Nodesize: 48,12 Variable Unc_inp Title: Unc inp Description: Temp node, sums up the fish species in the study. Definition: sum(Unc_inputs1,fish) Nodelocation: 208,328,1 Nodesize: 48,24 Valuestate: 2,102,520,649,343,0,MIDM Reformval: [Consumption_scenario,Uncertain_inputs] Close Combination_of_cohen Constant Daly___result___dw__ Title: DALY = result * DW * children born * fish eaters Description: fish eaters beneris datasta~ DW opasnetistä~ children born stat.fi Nodelocation: 216,161,1 Nodesize: 48,38 Constant Monetasation___resul Title: Monetasation = result * DR Nodelocation: 104,144,1 Nodesize: 48,24 Variable Using_only_consumpti Title: DHA benefits using only consumption categories Description: Exposure_to_mehg_dha Definition: Exposure_to_mehg_dha[Substance='DHA']*bw*Exprespdha/100 Nodelocation: 256,265,1 Nodesize: 48,38 Valuestate: 2,93,333,607,321,0,MIDM Reformval: [Consumption_scenario,Fish] Close Health_effects Function Result_style(param1) Title: Result style Description: To show mean and 90% confidence intervall in a cell of a ~~ table. Definition: mean(param1)&" ("&getfract(param1,0.05)&", "&getfract(para~~ m1,0.95)&")" Nodelocation: 240,408,1 Nodesize: 48,24 Windstate: 2,102,90,649,355 Paramnames: param1 Module Fish_data Title: Fish data Author: olex Date: Fri, Mar 13, 2009 9:57 AM Defaultsize: 48,24 Nodelocation: 112,152,1 Nodesize: 48,24 Diagstate: 1,943,522,301,149,17 Module Concentration_data Title: Concentration data Author: olex Date: Fri, Mar 13, 2009 9:57 AM Defaultsize: 48,24 Nodelocation: 72,40,1 Nodesize: 56,24 Diagramcolor: 52428,52428,52428 Chance Mehg_proportion Title: MeHg proportion Units: - Description: How much of the total mercury concentration in fish is Me~~ thyl mercury (MeHg)? ~ ~ There are different estimations, we used the estimation of the refere~~ nce #3 by Gunnel Westöö (REF #3) because the sea-areas in Sweden and ~~ in Finland are quite similar.~ ~ Methyl mercury (organic) is the chemical form of concern and can make~~ up more than 90% of the total mercury in fish and seafood. REF #1~ ~ For salmon, methylmercury levels were 78% and 63% of total mercury le~~ vels for muscle REF #2~ ~ The proportion of methylmercury to total mercury in the flesh of salm~~ on (Salmo salar) 1 to 7 years old and sea trout (Salmo ocla) 1 and 2 ~~ years old was found to average 93% with a range of 81 to 98 percent a~~ nd to be independent of the age of the fish. REF #3 (Gunnel Westöö)~ ~ Methyl mercury contributes 83% of total mercury REF #4~ ~ In fish, methyl mercury accounts for 80 to 99 percent of the mercury ~~ content of fish tissues. REF #5 Definition: triangular(0.81,0.93,0.98) Nodelocation: 272,128,1 Nodesize: 48,24 Windstate: 2,102,90,476,287 Valuestate: 2,216,226,416,303,1,PDFP Nodecolor: 65535,52427,65534 Displayoutputs: Variable Unc_inputs Reference: #1~ Proportion~~ ~ ~ #2~ http://map1.epa.gov/html/newsdec.htm~ ~ #3~ http://www.sciencemag.org/cgi/content/abstract/181/4099/567?ck=nck~ ~ #4~ Kannan K, Smith RG, Lee RF, Windom HL, Heitmuller PT, Macauley JM, Su~~ mmers JK.. Distribution of total mercury and methyl mercury in water,~~ sediment, and fish from south Florida estuaries.~ http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=Retrieve&db=PubMed&list_~~ uids=9469852&dopt=Abstract~ ~ #5~ http://www.atsdr.cdc.gov/hac/pha/cheyenne/chey_p1.html~ Variable Concentrations Title: Concentrations Units: mg/kg in filleted weight Description: See reference#0~ ~ Saithe:~ Booth2005 Ref#7~ ~ Tuna: ~ lognormal(0.1,0.1) Ref#6~ ~ Rainbow trout: Mercury_conc[fishspecies='farmedsalmon',Parameters1='M~~ ean'&'SD']~ ~ DHA concentrations~ Salmon: ~ fractiles(min,mode,max)~ min=omega-3 concentration of trout~ mode=omega-3 concentration of salmon fillet~ max=omega-3 concentration of salmon (sea) fillet~ ~ Rainbow trout:~ fractiles(whole,fillet,salted,cold smoked,sea fillet,)~ min=omega-3 concentration of trout~ mode=omega-3 concentration of rainborw trout fillet~ max=omega-3 concentration of rainbow trout (sea) fillet~ ~ Tuna: ~ triangular(min,mode,max)~ min=omega-3 concentration of tuna in oil~ mode=omega-3 concentration of tuna in water~ max=omega-3 concentration of tuna fillet~ ~ Saithe: ~ normal(mean,SD)~ mean = mean concentration of saithe fillet~ SD = 0.1 * mean concentration of saithe fillet~ ~ ~ ~ Concentrations from the database on Fineli (www.fineli.fi)~ ~ Distribution functions chosen by author judgement~ Definition: Table(Substances,Fish)(~ (10K*Uniform(0.785,1.173)),(10K*Uniform(0.785,1.173)),(10K*Normal(0.7~~ 51,(0.1*0.751))),(10K*Normal(0.783,(0.1*0.783))),(10K*Normal(0.292,(0~~ .1*0.292))),(10K*Triangular(1.467,1.577,1.615)),(10K*Normal(0.303,(0.~~ 1*0.303))),0,(10K*Triangular(1.467,1.467,1.615)),(10K*Normal(0.406,(0~~ .1*0.406))),0,~ lognormal(mean:0.03,stddev:0.02)*Mehg_proportion,lognormal(mean:0.03,~~ stddev:0.02)*Mehg_proportion,lognormal(mean:0.08,stddev:0.04)*Mehg_pr~~ oportion,lognormal(mean:0.03,stddev:0.01)*Mehg_proportion,lognormal(m~~ ean:0.4,stddev:0.24)*Mehg_proportion,lognormal(mean:0.07,stddev:0.02)~~ *Mehg_proportion,lognormal(mean:0.34,stddev:0.39)*Mehg_proportion,uni~~ form(0.05,0.08)*Mehg_proportion,lognormal(mean:0.07,stddev:0.02)*Mehg~~ _proportion,lognormal(mean:0.3,stddev:0.07)*Mehg_proportion,lognormal~~ (mean:0.1,stddev:0.1)*Mehg_proportion,~ uniform(482*10,586*10),uniform(482*10,586*10),normal(409*10,409),norm~~ al(493*10,493),normal(217*10,217),triangular(1002*10,1103*10,1160*10)~~ ,normal(245*10,245),Normal(0.280,(0.1*0.280)),triangular(1002*10,1003~~ *10,1103*10),normal(301*10,301),uniform(0.122,0.201)~ ) Nodelocation: 96,48,1 Nodesize: 52,24 Windstate: 2,514,-14,564,838 Defnstate: 2,284,263,752,365,0,MIDM Valuestate: 2,207,352,468,355,0,STAT Nodecolor: 45875,45875,45875 Reformdef: [Substances,Fish] Reformval: [Substances,Fish,Undefined,1,1] {!40000|Att_resultslicestate: [Substances,2,Fish,1,Sys_localindex('STA~~ TISTICS'),1]} Reference: #0~ Hg concentrations~ EU-kalat elintarvikeviraston julkaisuja 3/2004. Page 13.~ ~ #1~ http://www.fda.gov/fdac/reprints/mercury.html~ ~ #2~ http://map1.epa.gov/html/newsdec.htm~ ~ #3~ http://www.hc-sc.gc.ca/fn-an/securit/chem-chim/mercur/servey_sondage_~~ e.html~ ~ #4~ http://www.cfsan.fda.gov/~frf/sea-mehg.html~ ~ #5~ http://www.oehha.ca.gov/fish/pdf/CLEARLAKEREPORT.pdf~ ~ #6~ Kala - Fisk. Tuoretta tietoa kala-alasta. 1/2006. Suomen Kalakauppias~~ liitto.~ ~ #7~ http://findarticles.com/p/articles/mi_m0CYP/is_5_113/ai_n13807331/pg_~~ 10~ Booth2005~ ~ #8~ Fineli~ ~ ~ Index Substance Title: Substance Definition: ['MeHg','DHA'] Nodelocation: 272,80,1 Nodesize: 48,12 {!40000|Att_previndexvalue: ['MeHg','DHA']} Variable Concentrationmehgdha Title: Concentration Units: mg/kg in filleted weight Description: See reference#0~ ~ Saithe:~ Booth2005 Ref#7~ ~ Tuna: ~ lognormal(0.1,0.1) Ref#6~ ~ Rainbow trout: Mercury_conc[fishspecies='farmedsalmon',Parameters1='M~~ ean'&'SD']~ ~ DHA concentrations~ Salmon: ~ fractiles(min,mode,max)~ min=omega-3 concentration of trout~ mode=omega-3 concentration of salmon fillet~ max=omega-3 concentration of salmon (sea) fillet~ ~ Rainbow trout:~ fractiles(whole,fillet,salted,cold smoked,sea fillet,)~ min=omega-3 concentration of trout~ mode=omega-3 concentration of rainborw trout fillet~ max=omega-3 concentration of rainbow trout (sea) fillet~ ~ Tuna: ~ triangular(min,mode,max)~ min=omega-3 concentration of tuna in oil~ mode=omega-3 concentration of tuna in water~ max=omega-3 concentration of tuna fillet~ ~ Saithe: ~ normal(mean,SD)~ mean = mean concentration of saithe fillet~ SD = 0.1 * mean concentration of saithe fillet~ ~ ~ ~ Concentrations from the database on Fineli (www.fineli.fi)~ ~ Distribution functions chosen by author judgement~ Definition: Table(Fish,Substance)(~ lognormal(mean:(0.03*MeHg_proportion),stddev:0.02),5340,~ lognormal(mean:(0.03*MeHg_proportion),stddev:0.02),5340,~ lognormal(mean:(0.08*MeHg_proportion),stddev:0.04),4090,~ lognormal(mean:(0.03*MeHg_proportion),stddev:0.01),4930,~ lognormal(mean:(0.4*MeHg_proportion),stddev:0.24),2170,~ lognormal(mean:(0.07*MeHg_proportion),stddev:0.02),10.88K,~ lognormal(mean:(0.34*MeHg_proportion),stddev:0.39),2450,~ uniform(0.05,0.08)*MeHg_proportion,2800,~ lognormal(mean:(0.07*MeHg_proportion),stddev:0.02),10.55K,~ lognormal(mean:(0.3*MeHg_proportion),stddev:0.07),3010,~ lognormal(mean:(0.1*MeHg_proportion),stddev:0.1),1615~ ) Nodelocation: 272,48,1 Nodesize: 48,24 Windstate: 2,6,312,456,500 Defnstate: 2,30,270,577,310,0,MIDM Valuestate: 2,104,250,453,287,0,STAT Nodecolor: 65535,52427,65534 Graphsetup: {!40000|Att_graphvaluerange Concentrationmehgdha:1,,0,,,,,~~ 0,2}~ {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,0,5}~ {!40000|Att_contlinestyle Graph_pdf_valdim:6} Reformdef: [Substance,Fish] Reformval: [Substance,Fish,Undefined,1] Reference: #0~ Hg concentrations~ EU-kalat elintarvikeviraston julkaisuja 3/2004. Page 13.~ ~ #1~ http://www.fda.gov/fdac/reprints/mercury.html~ ~ #2~ http://map1.epa.gov/html/newsdec.htm~ ~ #3~ http://www.hc-sc.gc.ca/fn-an/securit/chem-chim/mercur/servey_sondage_~~ e.html~ ~ #4~ http://www.cfsan.fda.gov/~frf/sea-mehg.html~ ~ #5~ http://www.oehha.ca.gov/fish/pdf/CLEARLAKEREPORT.pdf~ ~ #6~ Kala - Fisk. Tuoretta tietoa kala-alasta. 1/2006. Suomen Kalakauppias~~ liitto.~ ~ #7~ http://findarticles.com/p/articles/mi_m0CYP/is_5_113/ai_n13807331/pg_~~ 10~ Booth2005~ ~ #8~ Fineli Constant Onko_oikeat_pitoisuu Title: Onko oikeat pitoisuudet, tarkista laskut! Nodelocation: 416,65,1 Nodesize: 48,38 Close Concentration_data Module Consumption_data Title: Consumption data Author: olex Date: Fri, Mar 13, 2009 9:57 AM Defaultsize: 48,24 Nodelocation: 208,40,1 Nodesize: 52,24 Diagstate: 1,-1,230,459,670,17 Variable Cons_pregnant Title: Fish consumption of pregnant women Units: g/day Description: Fish consumption of pregnant women in Finland. Definition: Table(Quantile,Fish)(~ 3.538520795,0.09879773900000012,0.949758417,5.588543108,1.53,8.69,0.5~~ 7,7.82,1.64,0,6.19,~ 4,0.1,1.5,5.2,3.6,9.699999999999999,1.2,6.8,1.7,0,7.9,~ 0.49,0.04,0.04,3.2,0.04,0.54,0.04,2.92,0.21,0,2.47,~ 0.61,0.04,0.04,3.2,0.039995998,2.06,0.04,2.92,0.43,0,2.47,~ 1.95,0.04,0.19,3.2,0.09,6.08,0.09,5.85,1.13,0,4.95,~ 4.94,0.1,1.16,6.4,1.85,11.3,1.14,10.7,2.27,0,7.43,~ 10.5,0.34,3.6,13.7,7.42,23.4,2.28,18.4,5.07,0,21.2~ ) Nodelocation: 160,64,1 Nodesize: 48,38 Windstate: 2,308,375,476,224 Defnstate: 2,282,162,657,342,0,MIDM Valuestate: 2,345,366,646,321,0,MIDM Nodecolor: 65535,52427,65534 Reformdef: [Quantile,Fish] Reformval: [Quantile,Fish] Displayoutputs: Constant About_the_same_as_th, Variable Distribution Att__totalsindex: Index Fish Reference: P~~ regnant_women~ ~ ~ Index Quantile Title: Fractiles Definition: ['Mean','SD','0.05','0.25','0.5','0.75','0.95'] Nodelocation: 160,112,1 Nodesize: 52,12 {!40000|Att_previndexvalue: ['Mean','SD','0.05','0.25','0.5','0.75','0~~ .95']} Index Fish Title: Fish Definition: ['Baltic herring','Herring','Vendace','White fish','Pike',~~ 'Rainbow trout','Perch','Saithe','Atlantic salmon','Pike-perch','Tuna~~ '] Nodelocation: 160,136,1 Nodesize: 48,12 Windstate: 2,102,90,501,356 {!40000|Att_previndexvalue: ['Baltic herring','Herring','Vendace','Wh~~ ite fish','Pike','Rainbow trout','Perch','Saithe','Atlantic salmon','~~ Pike-perch','Tuna']} Variable Lean_fish Title: Lean fish Units: g/day Description: A diet of fish species with fat contenct >3% = lean fish Definition: Table(Fish)(~ 0,0,Cons_pregnant[Fish='Vendace'],0,Cons_pregnant[Fish='Pike'],0,Cons~~ _pregnant[Fish='Perch'],Cons_pregnant[Fish='Saithe'],0,Cons_pregnant[~~ Fish='Pike-perch'],0) Nodelocation: 96,190,1 Nodesize: 48,24 Defnstate: 2,611,392,416,303,0,MIDM Valuestate: 2,595,37,574,354,0,MIDM Reformval: [Quantile,Fish] Att__totalsindex: Index Fish Variable Fatty_fish Title: Fatty fish Units: g/day Description: A diet of fish species with fat contenct >3% = fatty fish~~ ~ ~ Factor in front of the each line represents the fish consumption of Definition: Table(Fish)(~ Cons_pregnant[Fish='Baltic herring'],Cons_pregnant[Fish='Herring'],0,~~ Cons_pregnant[Fish='White fish'],0,Cons_pregnant[Fish='Rainbow trout'~~ ],0,0,Cons_pregnant[Fish='Atlantic salmon'],0,Cons_pregnant[Fish='Tun~~ a']) Nodelocation: 224,190,1 Nodesize: 48,24 Windstate: 2,195,465,476,224 Defnstate: 2,613,89,416,303,0,MIDM Valuestate: 2,807,282,432,303,0,MIDM Reformval: [Quantile,Fish] Variable Lean_fish_diet Title: Lean fish diet scenario Units: kg/a Description: A hypothetical consumption scenario.~ ~ 1) A diet consisting solely on lean fish. ~ 2) The total amount fish consumed is the same as with pregnant women ~~ eating both lean and fatty fish, therefore we apply a factor in the b~~ eginning to achieve the same amount Definition: Lean_fish*Factor_for_lean*0.001*365 Nodelocation: 96,344,1 Nodesize: 48,24 Windstate: 2,577,30,476,224 Defnstate: 2,686,641,416,303,0,MIDM Valuestate: 2,517,228,739,302,0,MIDM Reformval: [Quantile,Fish] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Fish,4,Quantile,1]} Variable Fatty_fish_diet Title: Fatty fish diet scenario Units: kg/a Description: A hypothetical consumption scenario.~ ~ 1) A diet consisting solely on fatty fish. ~ 2) The total amount fish consumed is the same as with pregnant women ~~ eating both lean and fatty fish, therefore we apply a factor in the b~~ eginning to achieve the same amount~ ~ 0.001*365 is a unit conversion Definition: Fatty_fish*Factor_for_fatty*0.001*365 Nodelocation: 224,344,1 Nodesize: 48,24 Valuestate: 2,502,433,598,338,0,MIDM Reformval: [Quantile,Fish] Att__totalsindex: Index Fish Variable Factor_for_lean Title: Factor for lean fish consumption exclusively Description: The amount of fish eaten in 'Lean fish exclusively' consu~~ mption scenario is supposed to be equal to 'Pregnant women fish consu~~ mption'. Therefore this factor is needed. Definition: sum(Cons_pregnant, Fish)/sum(Lean_fish,Fish) Nodelocation: 96,263,1 Nodesize: 48,38 Variable Factor_for_fatty Title: Factor for fatty fish consumption ~ exclusively Description: The amount of fish eaten in 'Fatty fish exclusively' cons~~ umption scenario is supposed to be equal to 'Pregnant women fish cons~~ umption'. Therefore this factor is needed. Definition: sum(Cons_pregnant, Fish)/sum(Fatty_fish,Fish) Nodelocation: 224,263,1 Nodesize: 48,38 Windstate: 2,392,317,476,224 Variable Lean_distribution Title: Lean distribution Units: kg/a Definition: var me:=Lean_fish_diet[Quantile='Mean'];~ var sd:=Lean_fish_diet[Quantile='SD'];~ ~ lognormal(mean:me,stddev:sd) Nodelocation: 96,408,1 Nodesize: 48,24 Valuestate: 2,518,528,653,315,0,MIDM Reformval: [Undefined,Fish,1] Att__totalsindex: Index Fish Variable Fatty_distribution Title: Fatty distribution Units: kg/a Definition: var me:=Fatty_fish_diet[Quantile='Mean'];~ var sd:=Fatty_fish_diet[Quantile='SD'];~ lognormal(mean:me,stddev:sd) Nodelocation: 224,408,1 Nodesize: 48,24 Valuestate: 2,174,33,1014,636,0,MEAN Graphsetup: {!40000|Att_contlinestyle Graph_pdf_valdim:6}~ {!40000|Att_graphvaluerange Fatty_distribution:1,,0,,,,,0,10}~ {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,0,5} Reformval: [Undefined,Fish,Undefined,Undefined,1] Att__totalsindex: Index Fish Index Consumption_scenario Title: Consumption scenarios Definition: ['Lean fish diet','Fatty fish diet','Pregnant women','No f~~ ish'] Nodelocation: 160,520,1 Nodesize: 48,24 {!40000|Att_previndexvalue: ['Lean fish diet','Fatty fish diet','Pregn~~ ant women','No fish']} Variable Fish_consumption1 Title: Fish consumption Units: kg/a Description: Fish consumption in selected scenarios for the study (Lei~~ no et al 2009 Manuscript).~ ~ 'lognormal((mean:Cons_pregnant[Quantile=’Mean’]),(stddev:Cons_pregnan~~ t[Quantile=’SD’))' Definition: Table(Consumption_scenario)(~ lean_distribution,fatty_distribution,lognormal(mean:Cons_pregnant[Qua~~ ntile='Mean'],stddev:Cons_pregnant[Quantile='SD'])*0.001*365,1p) Nodelocation: 160,472,1 Nodesize: 48,24 Windstate: 2,731,75,476,224 Defnstate: 2,354,90,817,297,0,MIDM Valuestate: 2,244,256,605,390,0,MIDM Graphsetup: {!40000|Att_contlinestyle Graph_pdf_valdim:6}~ {!40000|Att_graphvaluerange Fish_consumption1:1,,0,,,,,0,5}~ {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,0,5} Reformval: [Consumption_scenario,Fish,Undefined,1] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Fish,0,Sys_localindex('PROBABILITY'),1,~~ Consumption_scenario,3]} Variable Fatty_fish_lean_fish Title: Fatty fish: lean fish Definition: sum(Fatty_fish, Fish)/sum(Lean_fish, Fish) Nodelocation: 352,192,1 Nodesize: 48,24 Valuestate: 2,328,338,416,303,0,MIDM Reformval: [Quantile,Fish] Module Portions_per_week1 Title: Portions per month Author: olex Date: Thu, Mar 19, 2009 7:54 AM Defaultsize: 48,24 Nodelocation: 160,592,1 Nodesize: 48,24 Diagstate: 1,414,439,563,383,17 Variable Size_of_a_portion Title: Portion size Units: g Description: Standard size of a portion of fish is 227grams. Definition: 227 Nodelocation: 96,48,1 Nodesize: 48,24 Constant Both_groups_consume_ Title: Pregnant women consume on average one portion (227g) of fish pe~~ r week Units: Fish meals per week Definition: Fish_consumption1*1000/52/portion_size Nodelocation: 96,216,1 Nodesize: 48,63 Valuestate: 2,296,306,416,303,0,CONF Nodecolor: 65535,65532,19661 Reformval: [Consumption_scenario,Fish] Att__totalsindex: Index Fish Objective Portions_per_month Title: Portions per month Units: Portions / month Description: How many portions population consumes fish per week~ ~ (sum(Fish_consumption1,Fish)*1000/52)/Size_of_a_portion Definition: (sum(Fish_consumption1,Fish)*1000/12)/Size_of_a_portion Nodelocation: 96,112,1 Nodesize: 48,24 Valuestate: 2,408,418,416,303,0,MEAN Variable Hypothetical_portion Title: Fish consumption with consumption frequencies Units: kg/a Description: This node creates fish consumption in seven hypothetical ~~ fish consumption frequences:~ ~ 1) once in four weeks~ 2) once in three weeks~ 3) once in two weeks~ 4) once in a week~ 5) twice a week~ 6) three times a week~ 7) four times a week~ ~ This will be utilized when plotting graph meals vs net IQ points (i~~ n the given three consumption scenarios) Definition: Table(Consumptionfrequency)(~ Fish_consumption1/Portions_per_month,2*Fish_consumption1/Portions_per~~ _month,3*Fish_consumption1/Portions_per_month,4*Fish_consumption1/Por~~ tions_per_month,5*Fish_consumption1/Portions_per_month,6*Fish_consump~~ tion1/Portions_per_month,7*Fish_consumption1/Portions_per_month) Nodelocation: 384,112,1 Nodesize: 48,55 Windstate: 2,102,90,477,345 Defnstate: 2,667,351,416,303,0,MIDM Valuestate: 2,300,103,865,303,0,MEAN Reformval: [Consumptionfrequency,Fish] Att__totalsindex: Index Fish {!40000|Att_resultslicestate: [Consumption_scenario,4,Fish,1,Consumpti~~ onfrequency,1]} Index Consumptionfrequency Title: Fish consumption frequency Description: This fish consumption range spans from once a month to se~~ ven times a month of fish consumption. Definition: ['Once a month','Twice a month','Three times a month','Fou~~ r times a month','Five times a month','Six times a month','Seven time~~ s a month'] Nodelocation: 376,192,1 Nodesize: 48,29 {!40000|Att_previndexvalue: ['Once a month','Twice a month','Three tim~~ es a month','Four times a month','Five times a month','Six times a mo~~ nth','Seven times a month']} {!40000|Att_graphindexrange: 1,,,,,,10} Close Portions_per_week1 Close Consumption_data Close Fish_data Close Risks_from_farmed_an Text Te23 Description: The big question is: What is/are the main focus for the m~~ anuscript! What are the interesting results?~ ~ Suggestions:~ ~ 1) Fish consumption benefit-risk analysis of pregnant women, AND expo~~ sure analysis of fish consumption of pregnant women and general popul~~ ation~ ~ 2) Benefit-risk comparison between the fish consumption subgroups of ~~ pregnant women~ a) low fish consumption~ b) average fish consumption~ c) high fish consumption~ ~ 3) How well are the consumption recommendations for pregnang women su~~ cceeding?~ a) in terms of RfD:s and recommendations (exposures)~ b) in terms of benefits and risks to a child~ ~ 4) Results of the sensitivity analysis regarding fish consumption~ a) What were the variables with the largest uncertainty~ b) How to deal with them ~ ~ ~ Riskipalaveri 10.6.2008~ 5) Kalankäyttöskenaarioiden luontia~ a) Voisi luoda hypoteettisia kalankäyttöprofiileja (haukea paljon s~~ yövät mökkeilijät, lohensyöjät...)~ b) Voisi käyttää samaa kalankäyttöprofiilia ja nostaa kalan käyttöm~~ äärän yhdestä kahteen kertaan viikossa j ja laskea terveysvaikutu~~ kset (lineaarisina kaiketi vaan tuplautuvat).~ ~ 6) Jouni 21.8.2008~ Risks and benefits per species: should you try and avoid certain spec~~ ies?~ Flushout time: if you have eaten pike and you plan to get pregnant, i~~ s there any use of stopping pike-eating or is it too late already? (W~~ hat is the time existing MeHg flushes out of the body?)~ ~ ~ ~ ~ ~ Nodelocation: 344,390,-1 Nodesize: 328,308 Module Some_planning_for_th Title: Some planning for the scenarios Author: olex Date: Fri, Jun 13, 2008 7:48 AM Defaultsize: 48,24 Nodelocation: 328,40,1 Nodesize: 48,38 Diagstate: 1,1,1,568,675,17 Text Te27 Description: 1) Paljon haukea syövät lapsentekoiässä olevat naiset~ - mistä data? (itse johdettava?)~ - hypoteettisesti arivoitava haukien syöntimäärät ~ - muitten kalojen kulutus vastaavasti vähäisempi(?)~ ~ 2) Recommended portions per week~ - similar fish consumption pattern with general population~ ~ 3) Sport fisher~ - the most valuable fish only (info on market prices are available)~ - no 'catch and release' fishing included Nodelocation: 232,104,-1 Nodesize: 220,95 Variable Max_amount_of_pike Title: Max amount of pike consumption Units: g/week Description: Boundaries: ~ 1) Season when the water is not covered with ice. = 6 months +- 1 mon~~ th (22-30 weeks). Ref #1, page 27-.~ ~ 2) Consumption: 2-4 times/week (227g portion size)~ ~ Uniform(2,4)*227*uniform(22,30)/1000 Definition: Uniform(2,4)*227*uniform(22,30)/1000 Nodelocation: 64,352,1 Nodesize: 52,32 Windstate: 2,40,392,476,224 Valuestate: 2,540,199,416,303,0,MEAN Graphsetup: {!40000|Att_contlinestyle Graph_pdf_valdim:6}~ {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,0,1,,,,0,0.4} Reference: RKTL2007 Variable Recommended_cons Title: Recommended consumption Units: kg/a Description: 2 portions of fish per week with a similar fish consumpti~~ on as the general population. So, scaled up from approximately one po~~ rtion per week (see model calculations) to two portions per week. Nodelocation: 64,432,1 Nodesize: 52,32 Reference: RKTL2007 Text Te28 Description: Modelling:~ - tee indeksi kalansyönnille (pregnant women, general population, sum~~ mer cottage fisher, sport fisher)~ - laskentasolmu high consumption pike (pohjautuu jotenkin dataan) Nodelocation: 232,256,-1 Nodesize: 220,36 Variable Rktl2007 Title: RKTL2007 Description: Vuonna 2006 vapaa-ajankalastuksen kokonaissaalis oli 42 m~~ iljoonaa kiloa, josta 75 prosenttia pyydettiin sisävesiltä. Saaliista~~ yli puolet oli ahventa tai haukea.~ ~ Puolet kalastaneista kotitalouksista sai enintään 9 kiloa saalista (=~~ mediaani). Kotitalouden keskimääräinen saalis oli 41 kiloa. Toisaalta~~ 9 prosenttia kalastaneista kotitalouksista ei saanut saalista lainka~~ an.~ ~ Sivu 44. lajiprofiilit~ ~ Nodelocation: 64,504,1 Nodesize: 48,24 Variable Recr_fishery_catch_2 Title: Recr fishery catch 2006 Units: 1000 kg Description: Amount of fishery catch in 2006 Definition: Table(Species_catched,Ci)(~ 13.425K,1881,~ 10.484K,1140,~ 5066,2197,~ 2790,755,~ 2478,933,~ 2067,340,~ 1505,335,~ 953,231,~ 615,252,~ 302,95,~ 145,46,~ 107,36,~ 708,170,~ 454,154,~ 369,87,~ 76,29,~ 44,41,~ 0,0,~ 399,159~ ) Nodelocation: 280,424,1 Nodesize: 48,24 Windstate: 2,102,90,462,227 Defnstate: 2,339,8,416,505,0,MIDM Valuestate: 2,459,-1,300,433,0,MIDM Reformdef: [Ci,Species_catched] Reformval: [Ci,Species_catched] Att__totalsindex: Index Species_catched Reference: RKTL2007 page 32 Index Species_catched Title: Species catched Description: Species cathced in Finland in 2006 Definition: ['Perch','Pike','Roach','Pikeperch','Whitefish','Bream','V~~ endace','Brown trout','Rainbow trout','Grayling','Land-locked salmon'~~ ,'Sea salmon','Burbot','Baltic herring','Ide','Flounder','Sprat','Cod~~ ','Other'] Nodelocation: 280,464,1 Nodesize: 48,16 Windstate: 2,102,90,467,432 {!40000|Att_previndexvalue: ['Perch','Pike','Roach','Pikeperch','Whit~~ efish','Bream','Vendace','Brown trout','Rainbow trout','Grayling','La~~ nd-locked salmon','Sea salmon','Burbot','Baltic herring','Ide','Floun~~ der','Sprat','Cod','Other']} Index Ci Title: CI Units: - Description: 95% confidence interval Definition: ['Total','+/-'] Nodelocation: 272,496,1 Nodesize: 44,16 {!40000|Att_previndexvalue: ['Total','+/-']} Variable Uniformalized Title: Uniformalized Definition: var me:=Recr_fishery_catch_2[CI='Total'];~ var ci:=Recr_fishery_catch_2[CI='+/-'];~ uniform((me-ci),(me+ci)) Nodelocation: 280,352,1 Nodesize: 48,24 Valuestate: 2,621,327,458,423,1,PDFP Graphsetup: {!40000|Att_contlinestyle Graph_pdf_valdim:6}~ {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,1,1,,,,0,10}~ {!40000|Att_graphvaluerange Uniformalized:1,,0,,,,,0,2000} Reformval: [Undefined,Species_catched,Undefined,Undefined,1] Variable Normalized Title: Normalized Definition: var me:=Recr_fishery_catch_2[CI='Total'];~ var ci:=Recr_fishery_catch_2[CI='+/-'];~ var sd:=ci/1.96;~ if normal(me,sd)<0 then 0 else normal(me,sd) Nodelocation: 280,560,1 Nodesize: 48,24 Valuestate: 2,514,133,744,503,0,MEAN Graphsetup: {!40000|Att_contlinestyle Graph_pdf_valdim:6}~ {!40000|Att_graphvaluerange Graph_pdf_valdim:1,0,1,1,,,,0,1m}~ {!40000|Att_graphvaluerange Normalized:1,,1,,,,,-10,5000} Reformval: [Species_catched,Species_catched,1,Undefined,1] Close Some_planning_for_th Constant Co1 Nodelocation: 144,-32,1 Nodesize: 48,24 Close Mehgvsn3