image
imagewidth (px) 76
739
| ground_truth
dict |
|---|---|
{
"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"3\">\n \n Polysomy 17\n \n </td>\n <td colspan=\"2\">\n \n Non-polysomy 17\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n IHC score\n </td>\n <td>\n FISH normal\n </td>\n <td>\n FISH amplified\n </td>\n <td>\n Polysomy 17 (%)\n </td>\n <td>\n FISH normal\n </td>\n <td>\n FISH amplified\n </td>\n </tr>\n <tr>\n <td>\n 0\n </td>\n <td>\n 0/8\n </td>\n <td>\n 0/0\n </td>\n <td>\n 0\n </td>\n <td>\n 8/8\n </td>\n <td>\n 0/0\n </td>\n </tr>\n <tr>\n <td>\n 1+\n </td>\n <td>\n 0/20\n </td>\n <td>\n 0/0\n </td>\n <td>\n 0\n </td>\n <td>\n 20/20\n </td>\n <td>\n 0/0\n </td>\n </tr>\n <tr>\n <td>\n 2+\n </td>\n <td>\n 13/66\n </td>\n <td>\n 0/12\n </td>\n <td>\n 17\n </td>\n <td>\n 53/66\n </td>\n <td>\n 12/12\n </td>\n </tr>\n <tr>\n <td>\n 3+\n </td>\n <td>\n 1/1\n </td>\n <td>\n 8/68\n </td>\n <td>\n 15\n </td>\n <td>\n 0/1\n </td>\n <td>\n 60/68\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 14/95 (15%)\n </td>\n <td>\n 8/80 (10%)\n </td>\n <td>\n 13\n </td>\n <td>\n 81/95 (85%)\n </td>\n <td>\n 72/80 (90%)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
|
{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"7\">\n \n Disease-modifying antirheumatic drug\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n None\n \n </td>\n <td>\n \n Methotrexate\n \n </td>\n <td>\n \n Leflunomide\n \n </td>\n <td>\n \n Sulfasalazopyrine\n \n </td>\n <td>\n \n Gold\n \n </td>\n <td>\n \n Chloroquine\n \n </td>\n <td>\n \n Others\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Number\n </td>\n <td>\n 22\n </td>\n <td>\n 42\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n 6\n </td>\n <td>\n 4\n </td>\n <td>\n 6\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
|
{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td colspan=\"2\">\n \n Larsen group\n \n </td>\n <td colspan=\"3\">\n \n Larsen score\n \n </td>\n <td colspan=\"3\">\n \n Cathepsin K\n \n </td>\n <td>\n \n Kruskal–Wallis test\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n \n n\n \n \n </td>\n <td>\n \n Minimum\n \n </td>\n <td>\n \n Median\n \n </td>\n <td>\n \n Maximum\n \n </td>\n <td>\n \n Minimum\n \n </td>\n <td>\n \n Median\n \n </td>\n <td>\n \n Maximum\n \n </td>\n <td>\n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n < 18\n </td>\n <td>\n 32\n </td>\n <td>\n 0.0\n </td>\n <td>\n 7.5\n </td>\n <td>\n 17.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n 26.5\n </td>\n <td>\n 3352.0\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ≥ 19 and < 74\n </td>\n <td>\n 34\n </td>\n <td>\n 18.0\n </td>\n <td>\n 38.0\n </td>\n <td>\n 67.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n 70.9\n </td>\n <td>\n 1721.6\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ≥ 75\n </td>\n <td>\n 34\n </td>\n <td>\n 75.0\n </td>\n <td>\n 105.5\n </td>\n <td>\n 164.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n 88.8\n </td>\n <td>\n 3453.2\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 100\n </td>\n <td>\n 0.0\n </td>\n <td>\n 39.0\n </td>\n <td>\n 164.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n 54.8\n </td>\n <td>\n 3453.2\n </td>\n <td>\n \n P\n \n = 0.035\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
|
{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n \n Initials XX\n \n \n </td>\n <td>\n \n \n Study number Axxxx\n \n \n </td>\n <td>\n \n \n Date of arrival xx/xx/xx\n \n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Time\n \n </td>\n <td>\n \n Heart rate >80\n \n </td>\n <td>\n \n Clear lungs\n \n </td>\n <td>\n \n Pupil size\n \n </td>\n <td>\n \n Dry axilla\n \n </td>\n <td>\n \n Syst. BP >80 mmHg\n \n </td>\n <td>\n \n Bowel sounds (A/D/N/I)\n \n </td>\n <td>\n \n Confused\n \n </td>\n <td>\n \n Fever (>37.5°C)\n \n </td>\n <td>\n \n Atropine infusion\n \n </td>\n <td>\n \n Bolus given?\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 22.30\n </td>\n <td>\n \n \n 52\n \n \n </td>\n <td>\n \n \n Creps+\n \n \n </td>\n <td>\n \n \n Pinpoint\n \n \n </td>\n <td>\n \n \n No\n \n \n </td>\n <td>\n 90/60\n </td>\n <td>\n I\n </td>\n <td>\n No\n </td>\n <td>\n No\n </td>\n <td>\n </td>\n <td>\n 2.4 mg\n </td>\n </tr>\n <tr>\n <td>\n 22.35\n </td>\n <td>\n \n \n 60\n \n \n </td>\n <td>\n \n \n Creps+\n \n \n </td>\n <td>\n \n \n Pinpoint\n \n \n </td>\n <td>\n \n \n No\n \n \n </td>\n <td>\n 90/60\n </td>\n <td>\n I\n </td>\n <td>\n No\n </td>\n <td>\n No\n </td>\n <td>\n </td>\n <td>\n 4.8 mg\n </td>\n </tr>\n <tr>\n <td>\n 22.40\n </td>\n <td>\n 82\n </td>\n <td>\n \n +/-\n \n </td>\n <td>\n \n \n Pinpoint\n \n \n </td>\n <td>\n Yes\n </td>\n <td>\n 110/60\n </td>\n <td>\n N\n </td>\n <td>\n No\n </td>\n <td>\n No\n </td>\n <td>\n </td>\n <td>\n 4 mg\n </td>\n </tr>\n <tr>\n <td>\n 22.50\n </td>\n <td>\n 100\n </td>\n <td>\n \n \n Wheeze\n \n \n </td>\n <td>\n 2 mm\n </td>\n <td>\n Yes\n </td>\n <td>\n -\n </td>\n <td>\n D\n </td>\n <td>\n No\n </td>\n <td>\n No\n </td>\n <td>\n </td>\n <td>\n 2 mg\n </td>\n </tr>\n <tr>\n <td>\n 23.00\n </td>\n <td>\n 105\n </td>\n <td>\n Clear\n </td>\n <td>\n 3 mm\n </td>\n <td>\n Yes\n </td>\n <td>\n -\n </td>\n <td>\n D\n </td>\n <td>\n No\n </td>\n <td>\n No\n </td>\n <td>\n 2 mg/h\n </td>\n <td>\n Infusion\n </td>\n </tr>\n <tr>\n <td>\n 23.15\n </td>\n <td>\n 105\n </td>\n <td>\n Clear\n </td>\n <td>\n 3–4 mm\n </td>\n <td>\n Yes\n </td>\n <td>\n -\n </td>\n <td>\n D\n </td>\n <td>\n No\n </td>\n <td>\n No\n </td>\n <td>\n 2 mg/h\n </td>\n <td>\n Infusion\n </td>\n </tr>\n <tr>\n <td>\n 23.32\n </td>\n <td>\n 102\n </td>\n <td>\n Clear\n </td>\n <td>\n 3–4 mm\n </td>\n <td>\n Yes\n </td>\n <td>\n -\n </td>\n <td>\n D\n </td>\n <td>\n No\n </td>\n <td>\n No\n </td>\n <td>\n 2 mg/h\n </td>\n <td>\n Infusion\n </td>\n </tr>\n <tr>\n <td>\n 00.30\n </td>\n <td>\n 98\n </td>\n <td>\n Clear\n </td>\n <td>\n 3–4 mm\n </td>\n <td>\n Yes\n </td>\n <td>\n 110/60\n </td>\n <td>\n D\n </td>\n <td>\n No\n </td>\n <td>\n No\n </td>\n <td>\n 2 mg/h\n </td>\n <td>\n Infusion\n </td>\n </tr>\n <tr>\n <td>\n 01.30\n </td>\n <td>\n 85\n </td>\n <td>\n Clear\n </td>\n <td>\n 3–4 mm\n </td>\n <td>\n Yes\n </td>\n <td>\n -\n </td>\n <td>\n D\n </td>\n <td>\n No\n </td>\n <td>\n No\n </td>\n <td>\n 2 mg/h\n </td>\n <td>\n Infusion\n </td>\n </tr>\n <tr>\n <td>\n 02.30\n </td>\n <td>\n \n \n 72\n \n \n </td>\n <td>\n \n \n Wheeze\n \n \n </td>\n <td>\n 3–4 mm\n </td>\n <td>\n Yes\n </td>\n <td>\n -\n </td>\n <td>\n N/D\n </td>\n <td>\n No\n </td>\n <td>\n No\n </td>\n <td>\n </td>\n <td>\n 2 mg\n </td>\n </tr>\n <tr>\n <td>\n 02.35\n </td>\n <td>\n 96\n </td>\n <td>\n Clear\n </td>\n <td>\n 3–4 mm\n </td>\n <td>\n Yes\n </td>\n <td>\n -\n </td>\n <td>\n D\n </td>\n <td>\n No\n </td>\n <td>\n No\n </td>\n <td>\n 2.4 mg/h\n </td>\n <td>\n Infusion\n </td>\n </tr>\n <tr>\n <td>\n 02.45\n </td>\n <td>\n 98\n </td>\n <td>\n Clear\n </td>\n <td>\n 3–4 mm\n </td>\n <td>\n Yes\n </td>\n <td>\n -\n </td>\n <td>\n D\n </td>\n <td>\n No\n </td>\n <td>\n No\n </td>\n <td>\n 2.4 mg/h\n </td>\n <td>\n Infusion\n </td>\n </tr>\n <tr>\n <td>\n 04.00\n </td>\n <td>\n 102\n </td>\n <td>\n Clear\n </td>\n <td>\n 3–4 mm\n </td>\n <td>\n Yes\n </td>\n <td>\n -\n </td>\n <td>\n D\n </td>\n <td>\n No\n </td>\n <td>\n No\n </td>\n <td>\n 2.4 mg/h\n </td>\n <td>\n Infusion\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
|
{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Plant tested\n \n </td>\n <td colspan=\"2\">\n \n Water extract\n \n </td>\n <td colspan=\"2\">\n \n Ethanol extract\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n MIC\n \n </td>\n <td>\n \n MBC\n \n </td>\n <td>\n \n MIC\n \n </td>\n <td>\n \n MBC\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n B. ferruginea\n \n </td>\n <td>\n 55.4\n </td>\n <td>\n 63.6\n </td>\n <td>\n 30.6\n </td>\n <td>\n 55.0\n </td>\n </tr>\n <tr>\n <td>\n \n A. conyzoides\n \n </td>\n <td>\n 71.0\n </td>\n <td>\n 84.2\n </td>\n <td>\n 43.0\n </td>\n <td>\n 63.2\n </td>\n </tr>\n <tr>\n <td>\n \n T. avicennioides\n \n </td>\n <td>\n 20.8\n </td>\n <td>\n 33.0\n </td>\n <td>\n 18.2\n </td>\n <td>\n 30.4\n </td>\n </tr>\n <tr>\n <td>\n \n P. discoideus\n \n </td>\n <td>\n 23.0\n </td>\n <td>\n 34.2\n </td>\n <td>\n 20.5\n </td>\n <td>\n 33.0\n </td>\n </tr>\n <tr>\n <td>\n \n O. gratissimum\n \n </td>\n <td>\n 25.0\n </td>\n <td>\n 37.0\n </td>\n <td>\n 22.3\n </td>\n <td>\n 35.2\n </td>\n </tr>\n <tr>\n <td>\n \n A. wilkesiana\n \n </td>\n <td>\n 24.5\n </td>\n <td>\n 37.0\n </td>\n <td>\n 24.\n </td>\n <td>\n 37.0\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
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{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n PBC (n = 45)\n \n </td>\n <td>\n \n PSC (n = 27)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age (mean, range in years)\n </td>\n <td>\n 58 (34–78)\n </td>\n <td>\n 45 (23–68)\n </td>\n </tr>\n <tr>\n <td>\n Sex (male / female)\n </td>\n <td>\n 4/45\n </td>\n <td>\n 19/8\n </td>\n </tr>\n <tr>\n <td>\n Fatigue (yes / no)\n </td>\n <td>\n 32/15\n </td>\n <td>\n 15/12\n </td>\n </tr>\n <tr>\n <td>\n Cirrhosis (yes / no)\n </td>\n <td>\n 12 / 33\n </td>\n <td>\n 2 / 25\n </td>\n </tr>\n <tr>\n <td>\n Inflammatory bowel disease (yes / no)\n </td>\n <td>\n 0 / 45\n </td>\n <td>\n 16 / 11\n </td>\n </tr>\n <tr>\n <td>\n Total serum bilirubin (median, range in μmol/l)\n </td>\n <td>\n 10 (4–98)\n </td>\n <td>\n 15 (6–37)\n </td>\n </tr>\n <tr>\n <td>\n Serum albumin (median, range in g/l)\n </td>\n <td>\n 42 (31–48)\n </td>\n <td>\n 42 (33–47)\n </td>\n </tr>\n <tr>\n <td>\n Prothrombin time (median, range in sec.)\n </td>\n <td>\n 12 (10–18)\n </td>\n <td>\n 13 (11–16)\n </td>\n </tr>\n <tr>\n <td>\n Serum ALT activity (median, range in U/l)\n </td>\n <td>\n 43 (17–484)\n </td>\n <td>\n 35 (10–662)\n </td>\n </tr>\n <tr>\n <td>\n Serum AST activity (median, range in U/l)\n </td>\n <td>\n 37 (21–241)\n </td>\n <td>\n 31 (18–338)\n </td>\n </tr>\n <tr>\n <td>\n Serum Alkaline Phosphatase (median, range in U/l)\n </td>\n <td>\n 154 (68–441)\n </td>\n <td>\n 147 (53–1141)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
|
{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Gene\n \n </td>\n <td>\n \n Primer\n \n </td>\n <td>\n \n Sequence (5'-3')\n \n </td>\n <td>\n \n Tm (°C)\n \n </td>\n <td>\n \n Product size (bp)\n \n </td>\n <td>\n \n Accession number\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n GAPDH\n </td>\n <td>\n Forward\n </td>\n <td>\n TGT CCC CAC CCC CAA TGT ATC\n </td>\n <td>\n 58\n </td>\n <td>\n 100\n </td>\n <td>\n AB038240\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n CTC CGA TGC CTG CTT CAC TAC CTT\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HPRT\n </td>\n <td>\n Forward\n </td>\n <td>\n AGC TTG CTG GTG AAA AGG AC\n </td>\n <td>\n 56\n </td>\n <td>\n 100\n </td>\n <td>\n L77488 /\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n TTA TAG TCA AGG GCA TAT CC\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n L77489\n </td>\n </tr>\n <tr>\n <td>\n SOD1\n </td>\n <td>\n Forward\n </td>\n <td>\n TGG TGG TCC ACG AGA AAC GAG ATG\n </td>\n <td>\n 64\n </td>\n <td>\n 99\n </td>\n <td>\n AF346417\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n CAA TGA CAC CAC AAG CCA AAC GAC T\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n CAT\n </td>\n <td>\n Forward\n </td>\n <td>\n TGA GCC CAG CCC TGA CAA AAT G\n </td>\n <td>\n 62\n </td>\n <td>\n 119\n </td>\n <td>\n AB012918\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n CTC GAG CCC GGA AAG GAC AGT T\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n GSS\n </td>\n <td>\n Forward\n </td>\n <td>\n CTG GAG CGG CTG AAG GAC A\n </td>\n <td>\n 62\n </td>\n <td>\n 131\n </td>\n <td>\n AY572226\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n AGC TCT GAG ATG CAC TGG ACA\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n GPX1\n </td>\n <td>\n Forward\n </td>\n <td>\n GCA ACC AGT TCG GGC ATC AG\n </td>\n <td>\n 62\n </td>\n <td>\n 123\n </td>\n <td>\n AY572225\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n CGT TCA CCT CGC ACT TCT CAA AA\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n CCS\n </td>\n <td>\n Forward\n </td>\n <td>\n TGT GGC ATC ATC GCA CGC TCT G\n </td>\n <td>\n 64\n </td>\n <td>\n 96\n </td>\n <td>\n AY572228\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n GGG CCG GCC TCG CTC CTC\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n p27KIP\n </td>\n <td>\n Forward\n </td>\n <td>\n CGG AGG GAC GCC AAA CAG G\n </td>\n <td>\n 60\n </td>\n <td>\n 90\n </td>\n <td>\n AY455798\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n GTC CCG GGT CAA CTC TTC GTG\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Bcl-2\n </td>\n <td>\n Forward\n </td>\n <td>\n TGG AGA GCG TCA ACC GGG AGA TGT\n </td>\n <td>\n 61\n </td>\n <td>\n 87\n </td>\n <td>\n AB116145\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n AGG TGT GCA GAT GCC GGT TCA GGT\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ATOX1\n </td>\n <td>\n Forward\n </td>\n <td>\n ACG CGG TCA GTC GGG TGC TC\n </td>\n <td>\n 67\n </td>\n <td>\n 137\n </td>\n <td>\n AF179715\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n AAC GGC CTT TCC TGT TTT CTC CAG\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n COX17\n </td>\n <td>\n Forward\n </td>\n <td>\n ATC ATT GAG AAA GGA GAG GAG CAC\n </td>\n <td>\n 60\n </td>\n <td>\n 127\n </td>\n <td>\n AY603041\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n TTC ATT CTT CAA GGA TTA TTC ATT TAC A\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ATP7A\n </td>\n <td>\n Forward\n </td>\n <td>\n CTA CTG TCT GAT AAA CGG TCC CTA AA\n </td>\n <td>\n 50\n </td>\n <td>\n 99\n </td>\n <td>\n AY603040\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n TGT GGT GTC ATC ATC TTC CCT GTA\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ATP7B\n </td>\n <td>\n Forward\n </td>\n <td>\n GGT GGC CAT CGA CGG TGT GC\n </td>\n <td>\n 56\n </td>\n <td>\n 136\n </td>\n <td>\n AY603039\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n CGT CTT GCG GTT GTC TCC TGT GAT\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n CP\n </td>\n <td>\n Forward\n </td>\n <td>\n AAT TCT CCC TTC TGT TTT TGG TT\n </td>\n <td>\n 62\n </td>\n <td>\n 97\n </td>\n <td>\n AY572227\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n TTG TTT ACT TTC TCA GGG TGG TTA\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n MT1A\n </td>\n <td>\n Forward\n </td>\n <td>\n AGC TGC TGT GCC TGA TGT G\n </td>\n <td>\n 64\n </td>\n <td>\n 130\n </td>\n <td>\n D84397\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n TAT ACA AAC GGG AAT GTA GAA AAC\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n MURR1\n </td>\n <td>\n Forward\n </td>\n <td>\n GAC CAA GCT GCT GTC ATT TCC AA\n </td>\n <td>\n 58\n </td>\n <td>\n 122\n </td>\n <td>\n AY047597\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n TTG CCG TCA ACT CTC CAA CTC A\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n XIAP\n </td>\n <td>\n Forward\n </td>\n <td>\n ACT ATG TAT CAC TTG AGG CTC TGG TTT C\n </td>\n <td>\n 54\n </td>\n <td>\n 80\n </td>\n <td>\n AY603038\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Reversed\n </td>\n <td>\n AGT CTG GCT TGA TTC ATC TTG TGT ATG\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Rater\n \n </td>\n <td>\n \n Quality of outcome\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n Relative importance of outcome\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n Overall quality\n \n </td>\n <td>\n \n Balance benefits vs harm\n \n </td>\n <td>\n \n Recommendation\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n Depression severity\n </td>\n <td>\n Transient side effects\n </td>\n <td>\n Poisining fatalities\n </td>\n <td>\n Depression severity\n </td>\n <td>\n Transient side effects\n </td>\n <td>\n Poisining fatalities\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n H\n </td>\n <td>\n H\n </td>\n <td>\n Vl\n </td>\n <td>\n 7\n </td>\n <td>\n 9\n </td>\n <td>\n 9\n </td>\n <td>\n H or Vl\n </td>\n <td>\n Uncertain net benefit\n </td>\n <td>\n Don't do it\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n M\n </td>\n <td>\n M\n </td>\n <td>\n Vl\n </td>\n <td>\n 9\n </td>\n <td>\n 6\n </td>\n <td>\n 7\n </td>\n <td>\n Vl\n </td>\n <td>\n Net benefit\n </td>\n <td>\n Probably do it\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n H\n </td>\n <td>\n H\n </td>\n <td>\n M\n </td>\n <td>\n 8\n </td>\n <td>\n 7\n </td>\n <td>\n 9\n </td>\n <td>\n H\n </td>\n <td>\n Uncertain net benefit\n </td>\n <td>\n Toss up\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n H\n </td>\n <td>\n H\n </td>\n <td>\n L\n </td>\n <td>\n 6\n </td>\n <td>\n 5\n </td>\n <td>\n 6\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 5\n </td>\n <td>\n M\n </td>\n <td>\n M\n </td>\n <td>\n M\n </td>\n <td>\n 9\n </td>\n <td>\n 6\n </td>\n <td>\n 8\n </td>\n <td>\n M\n </td>\n <td>\n Net benefit\n </td>\n <td>\n Do it\n </td>\n </tr>\n <tr>\n <td>\n 6\n </td>\n <td>\n M\n </td>\n <td>\n M\n </td>\n <td>\n Vl\n </td>\n <td>\n 9\n </td>\n <td>\n 6\n </td>\n <td>\n 9\n </td>\n <td>\n Vl\n </td>\n <td>\n Net benefit\n </td>\n <td>\n Do it\n </td>\n </tr>\n <tr>\n <td>\n 7\n </td>\n <td>\n M\n </td>\n <td>\n M\n </td>\n <td>\n L\n </td>\n <td>\n 8\n </td>\n <td>\n 7\n </td>\n <td>\n 8\n </td>\n <td>\n L\n </td>\n <td>\n Net benefit\n </td>\n <td>\n Do it\n </td>\n </tr>\n <tr>\n <td>\n 8\n </td>\n <td>\n H\n </td>\n <td>\n H\n </td>\n <td>\n Vl\n </td>\n <td>\n 9\n </td>\n <td>\n 5\n </td>\n <td>\n 3\n </td>\n <td>\n H\n </td>\n <td>\n Net benefit\n </td>\n <td>\n Probably do it\n </td>\n </tr>\n <tr>\n <td>\n 9\n </td>\n <td>\n M\n </td>\n <td>\n M\n </td>\n <td>\n L\n </td>\n <td>\n 9\n </td>\n <td>\n 6\n </td>\n <td>\n 8\n </td>\n <td>\n L\n </td>\n <td>\n Net benefit\n </td>\n <td>\n Probably do it\n </td>\n </tr>\n <tr>\n <td>\n 10\n </td>\n <td>\n M\n </td>\n <td>\n M\n </td>\n <td>\n L\n </td>\n <td>\n 9\n </td>\n <td>\n 7\n </td>\n <td>\n 8\n </td>\n <td>\n L\n </td>\n <td>\n Net benefit\n </td>\n <td>\n Probably do it\n </td>\n </tr>\n <tr>\n <td>\n 11\n </td>\n <td>\n H\n </td>\n <td>\n H\n </td>\n <td>\n L\n </td>\n <td>\n 8\n </td>\n <td>\n 5\n </td>\n <td>\n 7\n </td>\n <td>\n L\n </td>\n <td>\n Trade offs\n </td>\n <td>\n Probably do it\n </td>\n </tr>\n <tr>\n <td>\n 12\n </td>\n <td>\n H\n </td>\n <td>\n H\n </td>\n <td>\n L\n </td>\n <td>\n 8\n </td>\n <td>\n 5\n </td>\n <td>\n 7\n </td>\n <td>\n L\n </td>\n <td>\n Trade offs\n </td>\n <td>\n Probably do it\n </td>\n </tr>\n <tr>\n <td>\n 13\n </td>\n <td>\n M\n </td>\n <td>\n H\n </td>\n <td>\n M\n </td>\n <td>\n 9\n </td>\n <td>\n 7\n </td>\n <td>\n 9\n </td>\n <td>\n M\n </td>\n <td>\n Net benefit\n </td>\n <td>\n Do it\n </td>\n </tr>\n <tr>\n <td>\n 14\n </td>\n <td>\n M\n </td>\n <td>\n M\n </td>\n <td>\n L\n </td>\n <td>\n 9\n </td>\n <td>\n 9\n </td>\n <td>\n 5 OR 9\n </td>\n <td>\n M\n </td>\n <td>\n Net benefit\n </td>\n <td>\n Probably do it\n </td>\n </tr>\n <tr>\n <td>\n 15\n </td>\n <td>\n M\n </td>\n <td>\n M\n </td>\n <td>\n Vl\n </td>\n <td>\n 9\n </td>\n <td>\n 6\n </td>\n <td>\n 8\n </td>\n <td>\n Vl\n </td>\n <td>\n Uncertain net benefit\n </td>\n <td>\n Toss up\n </td>\n </tr>\n <tr>\n <td>\n 16\n </td>\n <td>\n M\n </td>\n <td>\n M\n </td>\n <td>\n Vl\n </td>\n <td>\n 9\n </td>\n <td>\n 5\n </td>\n <td>\n 9\n </td>\n <td>\n Vl\n </td>\n <td>\n Not net benefit\n </td>\n <td>\n Don't do it\n </td>\n </tr>\n <tr>\n <td>\n 17\n </td>\n <td>\n M\n </td>\n <td>\n M\n </td>\n <td>\n M\n </td>\n <td>\n 9\n </td>\n <td>\n 9\n </td>\n <td>\n 9\n </td>\n <td>\n M\n </td>\n <td>\n Net benefit\n </td>\n <td>\n Toss up\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Example\n \n </td>\n <td>\n \n Do it\n \n </td>\n <td>\n \n Probably do it\n \n </td>\n <td>\n \n Toss up\n \n </td>\n <td>\n \n Probably don't do it\n \n </td>\n <td>\n \n Don't do it\n \n </td>\n <td>\n \n Consensus\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 1\n </td>\n <td>\n 4/16\n </td>\n <td>\n 7/16\n </td>\n <td>\n 3/16\n </td>\n <td>\n -\n </td>\n <td>\n 2/16\n </td>\n <td>\n Probably do it\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 6/16\n </td>\n <td>\n 8/16\n </td>\n <td>\n 2/16\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n Do it\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n -\n </td>\n <td>\n 6/15\n </td>\n <td>\n 7/15\n </td>\n <td>\n 2/15\n </td>\n <td>\n -\n </td>\n <td>\n Need more information\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n 13/15\n </td>\n <td>\n 2/15\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n Do it\n </td>\n </tr>\n <tr>\n <td>\n 5\n </td>\n <td>\n 11/16\n </td>\n <td>\n 5/16\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n Do it\n </td>\n </tr>\n <tr>\n <td>\n 6\n </td>\n <td>\n 11/17\n </td>\n <td>\n 5/17\n </td>\n <td>\n 1/17\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n Do it\n </td>\n </tr>\n <tr>\n <td>\n 7\n </td>\n <td>\n 1/17\n </td>\n <td>\n 7/17\n </td>\n <td>\n 2/17\n </td>\n <td>\n 6/17\n </td>\n <td>\n 1/17\n </td>\n <td>\n Probably do it\n </td>\n </tr>\n <tr>\n <td>\n 8\n </td>\n <td>\n 2/15\n </td>\n <td>\n 7/15\n </td>\n <td>\n 4/15\n </td>\n <td>\n 2/15\n </td>\n <td>\n -\n </td>\n <td>\n Do it\n </td>\n </tr>\n <tr>\n <td>\n 9\n </td>\n <td>\n 1/17\n </td>\n <td>\n 4/17\n </td>\n <td>\n 8/17\n </td>\n <td>\n 4/17\n </td>\n <td>\n -\n </td>\n <td>\n Probably don't do it/Tossup\n </td>\n </tr>\n <tr>\n <td>\n 10\n </td>\n <td>\n -\n </td>\n <td>\n 2/17\n </td>\n <td>\n 6/17\n </td>\n <td>\n 7/17\n </td>\n <td>\n 2/17\n </td>\n <td>\n No consensus\n </td>\n </tr>\n <tr>\n <td>\n 11\n </td>\n <td>\n 7/17\n </td>\n <td>\n 8/17\n </td>\n <td>\n 2/17\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n Do it\n </td>\n </tr>\n <tr>\n <td>\n 12\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 4/13\n </td>\n <td>\n 9/13\n </td>\n <td>\n No consensus\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Structures\n \n </td>\n <td>\n \n Skills\n \n </td>\n <td>\n \n Attitudes\n \n </td>\n <td>\n \n Awareness\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 1. \"Group contract\" for workshops (week 1)\n </td>\n <td>\n Negotiation\n </td>\n <td>\n Self & mutual respect\n </td>\n <td>\n Uses student's 'hopes and fears' to create group safety & self responsibility\n </td>\n </tr>\n <tr>\n <td>\n 2. Group task involving cooperation in a physical activity (week 2)\n </td>\n <td>\n Distinguish descriptive and evaluative comments\n </td>\n <td>\n Respect for value of different roles in a group\n </td>\n <td>\n Awareness of the differing power of types of words and of one's own value assumptions\n </td>\n </tr>\n <tr>\n <td>\n 3. Skill building pairs to develop and share listening/consultation skills (weeks 2–16)\n </td>\n <td>\n Direct, honest communication; application of theory about communication skills\n </td>\n <td>\n Trust Openness\n </td>\n <td>\n Empathy develops awareness of difference; e.g. experiences of being heard influence listening styles\n </td>\n </tr>\n <tr>\n <td>\n 4. Assertiveness exercises (week 4)\n </td>\n <td>\n Getting to a mutually acceptable outcome; assertiveness\n </td>\n <td>\n Mutual and self respect\n </td>\n <td>\n One's own natural style and the impact of stress on it; how to change it or tailor it to situations\n </td>\n </tr>\n <tr>\n <td>\n 5. Explicit feedback exercise (week 7) (see Additional file 1)\n </td>\n <td>\n Observation Reflection Assertiveness\n </td>\n <td>\n RespectResilience\n </td>\n <td>\n Willingness to take risks; clarify own professional style;mistakes as opportunities for learning\n </td>\n </tr>\n <tr>\n <td>\n 6. Written self evaluation and feedback to one other student after giving a dissertation based seminar to the Department\n </td>\n <td>\n Synthesis of content and style\n </td>\n <td>\n Value of clear oral communication\n </td>\n <td>\n Awareness of strengths and weaknesses of own written and oral communication skills\n </td>\n </tr>\n <tr>\n <td>\n 7. Feedback structure to review video role plays (weeks 12–13)\n </td>\n <td>\n Identifying specifics; creativity about alternatives\n </td>\n <td>\n Curiosity about what works and why\n </td>\n <td>\n Capacity to receive, acknowledge, value & use appreciation and criticism\n </td>\n </tr>\n <tr>\n <td>\n 8. Feedback to course organisers through:8a. feedback forms about each seminar/talk;8b. weekly workshop evaluations;8c. student representation at course management meeting (throughout)\n </td>\n <td>\n Verbal and written feedbackDistinguish opinion from evidence-based description\n </td>\n <td>\n Risk taking\n </td>\n <td>\n Feeling entitled to express both appreciation and suggestions to course team\n </td>\n </tr>\n <tr>\n <td>\n 9. Feedback to external examiner (after course end)\n </td>\n <td>\n Synthesis of observation, evaluation, theory & experience\n </td>\n <td>\n Self respect\n </td>\n <td>\n Sensitivity about giving feedback to a senior\n </td>\n </tr>\n <tr>\n <td>\n 10. Summative assessment in practical exam (giving written feedback to a consultant on their consultation skills)\n </td>\n <td>\n Synthesis of observation, evaluation, theory & experience\n </td>\n <td>\n Self respect\n </td>\n <td>\n Sensitivity about giving feedback to a senior\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"3\">\n \n 3H-TDR (CPM)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n *Immature CD56\n </td>\n <td>\n **Mature CD56\n </td>\n <td>\n ***K562\n </td>\n </tr>\n <tr>\n <td>\n Exp 1\n </td>\n <td>\n 6781 ± 51\n </td>\n <td>\n 5941 ± 560\n </td>\n <td>\n 4429 ± 197\n </td>\n </tr>\n <tr>\n <td>\n Exp 2\n </td>\n <td>\n 3116 ± 65\n </td>\n <td>\n 2534 ± 196\n </td>\n <td>\n 4030 ± 239\n </td>\n </tr>\n <tr>\n <td>\n Exp 3\n </td>\n <td>\n 6187 ± 512\n </td>\n <td>\n 2932 ± 181\n </td>\n <td>\n 6873 ± 34\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Adverse events *\n \n </td>\n <td>\n \n Topiramate (N = 896)\n \n N (%)\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Paresthesia/numbness\n </td>\n <td>\n 116 (12.9)\n </td>\n </tr>\n <tr>\n <td>\n Nausea/vomiting\n </td>\n <td>\n 56 (6.2)\n </td>\n </tr>\n <tr>\n <td>\n Cognitive impairment\n </td>\n <td>\n 48 (5.4)\n </td>\n </tr>\n <tr>\n <td>\n Headache\n </td>\n <td>\n 46 (5.1)\n </td>\n </tr>\n <tr>\n <td>\n Dizziness\n </td>\n <td>\n 45(5.0)\n </td>\n </tr>\n <tr>\n <td>\n Sedation/drowsiness\n </td>\n <td>\n 44 (4.9)\n </td>\n </tr>\n <tr>\n <td>\n Fatigue\n </td>\n <td>\n 38 (4.2)\n </td>\n </tr>\n <tr>\n <td>\n Decreased appetite\n </td>\n <td>\n 24 (2.7)\n </td>\n </tr>\n <tr>\n <td>\n Frequent peristalsis\n </td>\n <td>\n 20 (2.2)\n </td>\n </tr>\n <tr>\n <td>\n Somnolence\n </td>\n <td>\n 19 (2.1)\n </td>\n </tr>\n <tr>\n <td>\n Blurred vision\n </td>\n <td>\n 18 (2.0)\n </td>\n </tr>\n <tr>\n <td>\n Slow memory\n </td>\n <td>\n 16 (1.8)\n </td>\n </tr>\n <tr>\n <td>\n Lack of concentration\n </td>\n <td>\n 11 (1.2)\n </td>\n </tr>\n <tr>\n <td>\n Influenza-like-symptoms\n </td>\n <td>\n 10 (1.1)\n </td>\n </tr>\n <tr>\n <td>\n Panic/anxiety\n </td>\n <td>\n 9 (1.0)\n </td>\n </tr>\n <tr>\n <td>\n Dysgeusia\n </td>\n <td>\n 8 (0.9)\n </td>\n </tr>\n <tr>\n <td>\n Dry mouth\n </td>\n <td>\n 8\n </td>\n </tr>\n <tr>\n <td>\n Nervousness\n </td>\n <td>\n 7 (0.8)\n </td>\n </tr>\n <tr>\n <td>\n Rash\n </td>\n <td>\n 7\n </td>\n </tr>\n <tr>\n <td>\n Ataxia\n </td>\n <td>\n 7\n </td>\n </tr>\n <tr>\n <td>\n Insomnia\n </td>\n <td>\n 7\n </td>\n </tr>\n <tr>\n <td>\n Constipation\n </td>\n <td>\n 7\n </td>\n </tr>\n <tr>\n <td>\n Reduced libido\n </td>\n <td>\n 5 (0.6)\n </td>\n </tr>\n <tr>\n <td>\n Memory concerns\n </td>\n <td>\n 5\n </td>\n </tr>\n <tr>\n <td>\n Dyspepsia\n </td>\n <td>\n 5\n </td>\n </tr>\n <tr>\n <td>\n Unwanted weight loss\n </td>\n <td>\n 4 (0.4)\n </td>\n </tr>\n <tr>\n <td>\n Increased thirst\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n Word-finding difficulty\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n Impaired concentration\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n Tremor\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n Itching\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n Sweating\n </td>\n <td>\n 3 (0.3)\n </td>\n </tr>\n <tr>\n <td>\n Confusion\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Slowed thinking\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Psychosis\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Slurred speech\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Increased salivation\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Sleep disturbance\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Backache\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Increased appetite\n </td>\n <td>\n 2 (0.2)\n </td>\n </tr>\n <tr>\n <td>\n Gastrointestinal disturbances\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Agitation\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Cold sensitivity\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Worsening of symptoms\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Increased libido\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Amenorrhea\n </td>\n <td>\n 1 (0.1)\n </td>\n </tr>\n <tr>\n <td>\n Hematuria\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Dysuria\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Urticaria\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Increased suicidality\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Glaucoma\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Water retention\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Delirium\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Grand mal seizures\n </td>\n <td>\n 1\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Definition\n <sup>\n a\n </sup>\n \n </td>\n <td>\n \n n blocks\n \n </td>\n <td>\n \n Average block length (kb)\n \n </td>\n <td>\n \n Average n SNPs/block\n \n </td>\n <td>\n \n % of sequence covered\n \n </td>\n <td>\n \n n SNPs in blocks (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Definition 1\n </td>\n <td>\n 20\n </td>\n <td>\n 28.3\n </td>\n <td>\n 2.6\n </td>\n <td>\n 9.3\n </td>\n <td>\n 52 (38)\n </td>\n </tr>\n <tr>\n <td>\n Definition 2\n </td>\n <td>\n 19\n </td>\n <td>\n 16.5\n </td>\n <td>\n 2.6\n </td>\n <td>\n 5\n </td>\n <td>\n 46 (33.6)\n </td>\n </tr>\n <tr>\n <td>\n Definition 3\n </td>\n <td>\n 32\n </td>\n <td>\n 24.2\n </td>\n <td>\n 2.1\n </td>\n <td>\n 12.7\n </td>\n <td>\n 62 (45.3)\n </td>\n </tr>\n <tr>\n <td>\n Definition 4\n </td>\n <td>\n 60\n </td>\n <td>\n 130.7\n </td>\n <td>\n 4.3\n </td>\n <td>\n 85.8\n </td>\n <td>\n 130 (95)\n </td>\n </tr>\n <tr>\n <td>\n Definition 5\n </td>\n <td>\n 38\n </td>\n <td>\n 42.0\n </td>\n <td>\n 2.9\n </td>\n <td>\n 26.2\n </td>\n <td>\n 111 (81)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n n (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Gender\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Male\n </td>\n <td>\n 60 (75)\n </td>\n </tr>\n <tr>\n <td>\n Female\n </td>\n <td>\n 20 (25)\n </td>\n </tr>\n <tr>\n <td>\n \n Schizophrenia subtype\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Paranoid\n </td>\n <td>\n 40 (50)\n </td>\n </tr>\n <tr>\n <td>\n Undifferentiated\n </td>\n <td>\n 37 (46.2)\n </td>\n </tr>\n <tr>\n <td>\n Disorganized\n </td>\n <td>\n 2 (2.5)\n </td>\n </tr>\n <tr>\n <td>\n Residual\n </td>\n <td>\n 1 (1.3)\n </td>\n </tr>\n <tr>\n <td>\n Inpatients\n </td>\n <td>\n 20 (25)\n </td>\n </tr>\n <tr>\n <td>\n Outpatients\n </td>\n <td>\n 60 (75)\n </td>\n </tr>\n <tr>\n <td>\n \n Switched from previous antipsychotic\n \n </td>\n <td>\n 48 (60)\n </td>\n </tr>\n <tr>\n <td>\n Noncompliance\n </td>\n <td>\n 20 (25)\n </td>\n </tr>\n <tr>\n <td>\n First Episode\n </td>\n <td>\n 12 (15)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Mean (S.D.)\n </td>\n </tr>\n <tr>\n <td>\n Age\n </td>\n <td>\n 33.1 (10.3)\n </td>\n </tr>\n <tr>\n <td>\n Age at onset\n </td>\n <td>\n 22.6 (6.7)\n </td>\n </tr>\n <tr>\n <td>\n Length of illness (yr.)\n </td>\n <td>\n 10.5 (8.2)\n </td>\n </tr>\n <tr>\n <td>\n PANSS total score\n </td>\n <td>\n 90.9 (23.8)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n Adults\n \n </td>\n <td>\n \n Older persons\n \n </td>\n <td>\n \n Children and adolescents\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Clinician-rated\n \n </td>\n <td>\n Principal and additional diagnoses\n </td>\n <td>\n √\n </td>\n <td>\n √\n </td>\n <td>\n √\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Mental health legal status\n </td>\n <td>\n √\n </td>\n <td>\n √\n </td>\n <td>\n √\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Health of the Nation Outcomes Scale (HoNOS) [16]\n </td>\n <td>\n √\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Health of the Nation Outcomes Scale 65+ (HoNOS65+) [17]\n </td>\n <td>\n </td>\n <td>\n √\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Health of the Nation Outcomes Scale for Children and Adolescents (HoNOSCA) [18]\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n √\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Life Skills Profile 16 (LSP-16) [19, 20]\n </td>\n <td>\n √\n </td>\n <td>\n √\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Resource Utilisation Groups – Activities of Daily Living Scale (RUG-ADL) [21]\n </td>\n <td>\n </td>\n <td>\n √\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Focus of Care [20]\n </td>\n <td>\n √\n </td>\n <td>\n √\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Children's Global Assessment Scale (CGAS) [22]\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n √\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Factors Influencing Health Status (FIHS) [20]\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n √\n </td>\n </tr>\n <tr>\n <td>\n \n Consumer-rated\n \n </td>\n <td>\n Mental Health Inventory (MHI) [23] or Behaviour and Symptom Identification Scale (BASIS-32) [24] or Kessler-10 Plus (K-10+) [25]\n </td>\n <td>\n √\n </td>\n <td>\n √\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Consumer- and parent-rated\n \n </td>\n <td>\n Strengths and Difficulties Questionnaire (SDQ)[26]\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n √\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Variable\n \n </td>\n <td>\n \n Patients with diabetes (\n \n n\n \n = 393)\n \n </td>\n <td>\n \n Patients without diabetes (\n \n n\n \n = 1,447)\n \n </td>\n <td>\n \n \n P\n \n value\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Men\n </td>\n <td>\n 202 (51.4)\n </td>\n <td>\n 724 (50)\n </td>\n <td>\n 0.6313\n </td>\n </tr>\n <tr>\n <td>\n Age, years, mean (SD)\n </td>\n <td>\n 73.6 (9.8)\n </td>\n <td>\n 74 (12.7)\n </td>\n <td>\n 0.4945\n </td>\n </tr>\n <tr>\n <td>\n Age, 85 year or more\n </td>\n <td>\n 49 (12.5)\n </td>\n <td>\n 254 (17.6)\n </td>\n <td>\n 0.0159\n </td>\n </tr>\n <tr>\n <td>\n Cardiovascular risk factors\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Valvular heart disease\n </td>\n <td>\n 19 (4.8)\n </td>\n <td>\n 111 (7.7)\n </td>\n <td>\n 0.0517\n </td>\n </tr>\n <tr>\n <td>\n Ischemic heart disease\n </td>\n <td>\n 73 (18.6)\n </td>\n <td>\n 193 (13.3)\n </td>\n <td>\n 0.0088\n </td>\n </tr>\n <tr>\n <td>\n Previous cerebral infarction\n </td>\n <td>\n 77 (19.6)\n </td>\n <td>\n 223 (15.4)\n </td>\n <td>\n 0.0466\n </td>\n </tr>\n <tr>\n <td>\n Peripheral vascular disease\n </td>\n <td>\n 39 (9.9)\n </td>\n <td>\n 103 (7.1)\n </td>\n <td>\n 0.0646\n </td>\n </tr>\n <tr>\n <td>\n Hypelipidemia\n </td>\n <td>\n 89 (22.6)\n </td>\n <td>\n 241 (16.7)\n </td>\n <td>\n 0.0060\n </td>\n </tr>\n <tr>\n <td>\n Clinical findings\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Sudden onset\n </td>\n <td>\n 183 (46.3)\n </td>\n <td>\n 764 (52.8)\n </td>\n <td>\n 0.0225\n </td>\n </tr>\n <tr>\n <td>\n Subacute onset (days)\n </td>\n <td>\n 40 (10.2)\n </td>\n <td>\n 90 (6.2)\n </td>\n <td>\n 0.0066\n </td>\n </tr>\n <tr>\n <td>\n Seizures\n </td>\n <td>\n 3 (0.8)\n </td>\n <td>\n 31 (2.1)\n </td>\n <td>\n 0.0718\n </td>\n </tr>\n <tr>\n <td>\n Lacunar syndrome\n </td>\n <td>\n 156 (39.7)\n </td>\n <td>\n 349 (27.2)\n </td>\n <td>\n <0.0001\n </td>\n </tr>\n <tr>\n <td>\n Ischemic stroke subtypes\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Atherothrombotic\n </td>\n <td>\n 162 (41.2)\n </td>\n <td>\n 391 (27)\n </td>\n <td>\n <0.0001\n </td>\n </tr>\n <tr>\n <td>\n Cardioembolic\n </td>\n <td>\n 73 (18.6)\n </td>\n <td>\n 395 (27.3)\n </td>\n <td>\n 0.0004\n </td>\n </tr>\n <tr>\n <td>\n Lacunar infarct\n </td>\n <td>\n 138 (35.1)\n </td>\n <td>\n 346 (23.9)\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Unusual etiology\n </td>\n <td>\n 3 (0.8)\n </td>\n <td>\n 84 (5.8)\n </td>\n <td>\n <0.0001\n </td>\n </tr>\n <tr>\n <td>\n Unknown cause\n </td>\n <td>\n 17 (4.3)\n </td>\n <td>\n 231 (16)\n </td>\n <td>\n <0.0001\n </td>\n </tr>\n <tr>\n <td>\n Localization of cerebral infarction\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Parietal\n </td>\n <td>\n 74 (18.8)\n </td>\n <td>\n 339 (23.4)\n </td>\n <td>\n 0.0527\n </td>\n </tr>\n <tr>\n <td>\n Temporal\n </td>\n <td>\n 79 (20.1)\n </td>\n <td>\n 380 (26.3)\n </td>\n <td>\n 0.0123\n </td>\n </tr>\n <tr>\n <td>\n Thalamus\n </td>\n <td>\n 44 (11.2)\n </td>\n <td>\n 88 (6.1)\n </td>\n <td>\n 0.0005\n </td>\n </tr>\n <tr>\n <td>\n Pons\n </td>\n <td>\n 30 (7.6)\n </td>\n <td>\n 71 (4.9)\n </td>\n <td>\n 0.0353\n </td>\n </tr>\n <tr>\n <td>\n Cerebral posterior involvement\n </td>\n <td>\n 52 (13.2)\n </td>\n <td>\n 128 (8.8)\n </td>\n <td>\n 0.0095\n </td>\n </tr>\n <tr>\n <td>\n Outcome\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Symptom free at discharge\n </td>\n <td>\n 71 (18.1)\n </td>\n <td>\n 272 (18.8)\n </td>\n <td>\n 0.4324\n </td>\n </tr>\n <tr>\n <td>\n Hospital stay, days, median (interquartile range)\n </td>\n <td>\n 13 (8 to 21)\n </td>\n <td>\n 12 (8 to 21)\n </td>\n <td>\n 0.9752\n </td>\n </tr>\n <tr>\n <td>\n In-hospital death\n </td>\n <td>\n 50 (12.5)\n </td>\n <td>\n 211 (14.6)\n </td>\n <td>\n 0.3488\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Electronic stethoscope\n \n </td>\n <td>\n \n Control\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Total score (mean ± SD)\n </td>\n <td>\n 17.8 ± 8.8\n </td>\n <td>\n 17.2 ± 8.7\n </td>\n </tr>\n <tr>\n <td>\n Grading of murmurs, % correct\n </td>\n <td>\n 29 correct of 51 answers; 43%\n </td>\n <td>\n 27 correct of 54 answers; 50%\n </td>\n </tr>\n <tr>\n <td>\n Characterization of murmurs, % correct.\n </td>\n <td>\n 42 correct of 109 answers; 39%\n </td>\n <td>\n 45 correct of 111 answers; 41%\n </td>\n </tr>\n <tr>\n <td>\n Report of false murmurs, % correct.\n </td>\n <td>\n 11 correct of 20 answers; 55%\n </td>\n <td>\n 12 correct of 20 answers; 60%\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"3\">\n \n Children ages 6 through 17 years\n \n </td>\n <td colspan=\"3\">\n \n Adults 18 through 45 years\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Asthma %\n \n </td>\n <td>\n \n No priority one conditions %\n \n </td>\n <td>\n \n P value*\n \n </td>\n <td>\n \n Asthma %\n \n </td>\n <td>\n \n No priority one conditions %\n \n </td>\n <td>\n \n P value*\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Education\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n <hs>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n 18.9\n \n </td>\n <td>\n \n 17.3\n \n </td>\n <td>\n </td>\n </hs>\n </td>\n </tr>\n <tr>\n <td>\n HS\n </td>\n <td>\n \n NA\n \n </td>\n <td>\n \n NA\n \n </td>\n <td>\n \n NA\n \n </td>\n <td>\n \n 49.3\n \n </td>\n <td>\n \n 52.4\n \n </td>\n <td>\n \n N\n \n </td>\n </tr>\n <tr>\n <td>\n >HS\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n 32.8\n \n </td>\n <td>\n \n 30.3\n \n </td>\n <td>\n \n S\n \n </td>\n </tr>\n <tr>\n <td>\n \n Rural\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Non-MSA\n </td>\n <td>\n \n 18.1\n \n </td>\n <td>\n \n 19.3\n \n </td>\n <td>\n \n NS\n \n </td>\n <td>\n \n 17.1\n \n </td>\n <td>\n \n 16.2\n \n </td>\n <td>\n \n NS\n \n </td>\n </tr>\n <tr>\n <td>\n \n Gender\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n NS\n \n </td>\n </tr>\n <tr>\n <td>\n Male\n </td>\n <td>\n \n 6\n \n </td>\n <td>\n \n 94\n \n </td>\n <td>\n </td>\n <td>\n \n 2\n \n </td>\n <td>\n \n 98\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Female\n </td>\n <td>\n \n 4\n \n </td>\n <td>\n \n 96\n \n </td>\n <td>\n \n 0.09\n \n </td>\n <td>\n \n 5\n \n </td>\n <td>\n \n 95\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Race\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Black\n </td>\n <td>\n \n 7.9\n \n </td>\n <td>\n \n 92.3\n \n </td>\n <td>\n </td>\n <td>\n \n 3.6\n \n </td>\n <td>\n \n 96.4\n \n </td>\n <td>\n \n NS\n \n </td>\n </tr>\n <tr>\n <td>\n White\n </td>\n <td>\n \n 4.4\n \n </td>\n <td>\n \n 95.6\n \n </td>\n <td>\n \n <0.001\n \n </td>\n <td>\n \n 2.6\n \n </td>\n <td>\n \n 97.4\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Ethnicity\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Hispanic\n </td>\n <td>\n \n 3.6\n \n </td>\n <td>\n \n 96.4\n \n </td>\n <td>\n </td>\n <td>\n \n 1.5\n \n </td>\n <td>\n \n 98.6\n \n </td>\n <td>\n \n <0.001\n \n </td>\n </tr>\n <tr>\n <td>\n Non-Hisp\n </td>\n <td>\n \n 5.2\n \n </td>\n <td>\n \n 94.8\n \n </td>\n <td>\n \n 0.05\n \n </td>\n <td>\n \n 3.0\n \n </td>\n <td>\n \n 97.0\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Income level\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Poor/Near\n </td>\n <td>\n \n 30.6\n \n </td>\n <td>\n \n 22.13\n \n </td>\n <td>\n \n NS\n \n </td>\n <td>\n \n 20.1\n \n </td>\n <td>\n \n 13.5\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Low\n </td>\n <td>\n \n 18.2\n \n </td>\n <td>\n \n 15.9\n \n </td>\n <td>\n </td>\n <td>\n \n 8.1\n \n </td>\n <td>\n \n 13.6\n \n </td>\n <td>\n \n 0.03\n \n </td>\n </tr>\n <tr>\n <td>\n Middle\n </td>\n <td>\n \n 26.1\n \n </td>\n <td>\n \n 31.9\n \n </td>\n <td>\n </td>\n <td>\n \n 32.7\n \n </td>\n <td>\n \n 32.8\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n High\n </td>\n <td>\n \n 25.1\n \n </td>\n <td>\n \n 30.1\n \n </td>\n <td>\n </td>\n <td>\n \n 39.2\n \n </td>\n <td>\n \n 40.1\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n USC\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Yes\n </td>\n <td>\n \n 95.7\n \n </td>\n <td>\n \n 88.2\n \n </td>\n <td>\n \n <0.01\n \n </td>\n <td>\n \n 81.7\n \n </td>\n <td>\n \n 67.2\n \n </td>\n <td>\n \n <0.001\n \n </td>\n </tr>\n <tr>\n <td>\n \n Perceived Health Status\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Excellent\n </td>\n <td>\n \n 22.2\n \n </td>\n <td>\n \n 55.4\n \n </td>\n <td>\n </td>\n <td>\n \n 11.1\n \n </td>\n <td>\n \n 40.2\n \n </td>\n <td>\n \n <0.01\n \n </td>\n </tr>\n <tr>\n <td>\n Good/very\n </td>\n <td>\n \n 62.3\n \n </td>\n <td>\n \n 53.0\n \n </td>\n <td>\n </td>\n <td>\n \n 70.2\n \n </td>\n <td>\n \n 56.2\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Poor/Fair\n </td>\n <td>\n \n 15.5\n \n </td>\n <td>\n \n 1.6\n \n </td>\n <td>\n \n <0.01\n \n </td>\n <td>\n \n 18.7\n \n </td>\n <td>\n \n 3.6\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Insurance\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Private\n </td>\n <td>\n \n 65.0\n \n </td>\n <td>\n \n 73.4\n \n </td>\n <td>\n </td>\n <td>\n \n 75.7\n \n </td>\n <td>\n \n 76.6\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Public\n </td>\n <td>\n \n 28.5\n \n </td>\n <td>\n \n 17.3\n \n </td>\n <td>\n \n 0.01\n \n </td>\n <td>\n \n 11.5\n \n </td>\n <td>\n \n 5.7\n \n </td>\n <td>\n \n 0.01\n \n </td>\n </tr>\n <tr>\n <td>\n No\n </td>\n <td>\n \n 6.5\n \n </td>\n <td>\n \n 9.3\n \n </td>\n <td>\n </td>\n <td>\n \n 12.8\n \n </td>\n <td>\n \n 17.7\n \n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Treatment\n \n </td>\n <td>\n \n Angiogenic response (vessels/mm\n <sup>\n 2\n </sup>\n )\n \n </td>\n <td>\n \n \n n\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n None\n </td>\n <td>\n 2.34 ± 0.06\n </td>\n <td>\n 5\n </td>\n </tr>\n <tr>\n <td>\n CARB\n </td>\n <td>\n 4.96 ± 0.41*\n </td>\n <td>\n 5\n </td>\n </tr>\n <tr>\n <td>\n NOHA + CARB\n </td>\n <td>\n 2.4 ± 0.6\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n INDO + CARB\n </td>\n <td>\n 1.9 ± 0.92\n </td>\n <td>\n 8\n </td>\n </tr>\n <tr>\n <td>\n NS-398 + CARB\n </td>\n <td>\n 1.3 ± 0.31\n </td>\n <td>\n 5\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Object-Oriented Term\n \n </td>\n <td>\n \n Object-Oriented Definition *\n \n </td>\n <td>\n \n Object-Oriented use of the GO\n \n </td>\n <td>\n \n Example\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Class\n </td>\n <td>\n A class is a template from which object instances are created. It specifies the common characteristics that objects created from it will contain\n </td>\n <td>\n Classes are created from gene products whose characteristics are defined by the GO molecular function and cellular component terms\n </td>\n <td>\n The class Smad 2 is created based on the properties of the gene product Smad 2, which are defined by molecular functions such as \"protein homodimerization' (GO:0042803) and 'ATP binding' (GO:0042301)\n </td>\n </tr>\n <tr>\n <td>\n Object\n </td>\n <td>\n An instance of a class that contains unique properties\n </td>\n <td>\n Objects are created from the template classes, but may contain properties unique to a particular object\n </td>\n <td>\n Two different Smad 2 objects may be created, one of which is phosphorylated, and one which is not\n </td>\n </tr>\n <tr>\n <td>\n Inheritance\n </td>\n <td>\n Relationships between classes, whereby a more specific class inherits all the properties and methods of the classes they belong to\n </td>\n <td>\n Relationships defined by 'is a' are generalizations in which child classes of the DAG inherit the properties of the parent class (if a child class has multiple parent classes, multiple inheritance applies)\n </td>\n <td>\n The cellular component 'plasma membrane' (GO:0005886) inherits the properties of the general class cellular component 'membrane' (GO:0016020)\n </td>\n </tr>\n <tr>\n <td>\n Composition\n </td>\n <td>\n Certain objects may be assembled from collections of other objects\n </td>\n <td>\n 'part_of' relationships defined in the GO DAG are rendered as composition relationships in an OOM\n </td>\n <td>\n The 'membrane' (GO:0005623) and 'intracellular' (GO:0005622) space are part of the 'cell' (GO:0005623)\n </td>\n </tr>\n <tr>\n <td>\n Polymorphism\n </td>\n <td>\n The ability of an object to interpret messages differently when received by different objects\n </td>\n <td>\n GO functions may change for different proteins and be given different input and output values\n </td>\n <td>\n The function 'protein homodimerization activity' (GO:0042803) in the context of SMAD2 accepts two SMAD2s and outputs a dimerized SMAD2, whereas in the context of TGF-beta receptor II it accepts two receptors and outputs a dimerized receptor\n </td>\n </tr>\n <tr>\n <td>\n Encapsulation\n </td>\n <td>\n Hiding the state and implementation of an object\n </td>\n <td>\n The exact mechanism by which an object is created is hidden in an OOM\n </td>\n <td>\n The details involved in the translation (GO: 0043037) of Smad 2 are hidden, but a Smad 2 molecule is still created\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n DA sample (N = 60)\n \n </td>\n <td>\n \n Historical controls (No./Total)\n \n </td>\n <td>\n \n Fisher's Exact Test P-value\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"4\">\n \n Knowledge of personal pathology results\n \n </td>\n </tr>\n <tr>\n <td>\n Knew PSA\n </td>\n <td>\n 56 (93%)\n </td>\n <td>\n 160/181 (88%)\n </td>\n <td>\n 0.34\n </td>\n </tr>\n <tr>\n <td>\n Informed of stage of cancer\n </td>\n <td>\n 53 (88%)\n </td>\n <td>\n 178/181 (98%)\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n Knew grade of cancer\n </td>\n <td>\n 57 (95%)\n </td>\n <td>\n 178/184 (97%)\n </td>\n <td>\n 0.69\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n \n Knowledge of treatment options\n \n </td>\n </tr>\n <tr>\n <td>\n Knew all of age, grade, stage, health, and PSA are at least somewhat important for treatment decision.\n </td>\n <td>\n 52 (87%)\n </td>\n <td>\n 142/184 (77%)\n </td>\n <td>\n 0.14\n </td>\n </tr>\n <tr>\n <td>\n Believed watchful waiting to be a standard treatment\n </td>\n <td>\n 52 (87%)\n </td>\n <td>\n 138/184 (75%)\n </td>\n <td>\n 0.07\n </td>\n </tr>\n <tr>\n <td>\n Believed external radiation to be a standard treatment\n </td>\n <td>\n 53 (88%)\n </td>\n <td>\n 173/184 (94%)\n </td>\n <td>\n 0.16\n </td>\n </tr>\n <tr>\n <td>\n Believed brachytherapy to be a standard treatment\n </td>\n <td>\n 47 (78%)\n </td>\n <td>\n 143/184 (78%)\n </td>\n <td>\n >0.99\n </td>\n </tr>\n <tr>\n <td>\n Believed surgery to be a standard treatment\n </td>\n <td>\n 57 (95%)\n </td>\n <td>\n 177/184 (96%)\n </td>\n <td>\n 0.71\n </td>\n </tr>\n <tr>\n <td>\n Discussed watchful waiting with physician\n </td>\n <td>\n 28 (47%)\n </td>\n <td>\n 72/184 (39%)\n </td>\n <td>\n 0.36\n </td>\n </tr>\n <tr>\n <td>\n Discussed external radiation with physician\n </td>\n <td>\n 53 (88%)\n </td>\n <td>\n 166/184 (90%)\n </td>\n <td>\n 0.63\n </td>\n </tr>\n <tr>\n <td>\n Discussed brachytherapy with physician\n </td>\n <td>\n 38 (63%)\n </td>\n <td>\n 121/184 (66%)\n </td>\n <td>\n 0.76\n </td>\n </tr>\n <tr>\n <td>\n Discussed surgery with physician\n </td>\n <td>\n 59 (98%)\n </td>\n <td>\n 163/184 (89%)\n </td>\n <td>\n 0.02\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n \n Knowledge of side effects\n \n </td>\n </tr>\n <tr>\n <td>\n Knew surgery associated with incontinence\n </td>\n <td>\n 59 (98%)\n </td>\n <td>\n 172/184 (93%)\n </td>\n <td>\n 0.20\n </td>\n </tr>\n <tr>\n <td>\n Knew surgery associated with impotence\n </td>\n <td>\n 58 (97%)\n </td>\n <td>\n 172/184 (93%)\n </td>\n <td>\n 0.53\n </td>\n </tr>\n <tr>\n <td>\n Knew surgery associated with painful bowel movements\n </td>\n <td>\n 33 (55%)\n </td>\n <td>\n 82/184 (45%)\n </td>\n <td>\n 0.18\n </td>\n </tr>\n <tr>\n <td>\n Knew radiation associated with incontinence\n </td>\n <td>\n 48 (80%)\n </td>\n <td>\n 113/184 (61%)\n </td>\n <td>\n 0.01\n </td>\n </tr>\n <tr>\n <td>\n Knew radiation associated with impotence\n </td>\n <td>\n 56 (93%)\n </td>\n <td>\n 145/183 (79%)\n </td>\n <td>\n 0.01\n </td>\n </tr>\n <tr>\n <td>\n Knew radiation associated with painful bowel movements\n </td>\n <td>\n 46 (77%)\n </td>\n <td>\n 118/184 (64%)\n </td>\n <td>\n 0.08\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td colspan=\"2\">\n \n Hours Per Practice\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Number of Hours\n \n </td>\n <td>\n \n Percent\n \n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n 17.9\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 53.6\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 17.9\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n 7.1\n </td>\n </tr>\n <tr>\n <td>\n 5 or more\n </td>\n <td>\n 3.6\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Congener\n \n </td>\n <td>\n \n Average DL\n \n </td>\n <td>\n \n # of samples above DL\n <sup>\n a\n </sup>\n \n </td>\n <td colspan=\"3\">\n \n Concentrations\n \n </td>\n <td>\n \n WHO-TEF\n \n </td>\n <td colspan=\"3\">\n \n WHO-TEQ (pg TEQ/g lipid)\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"3\">\n \n Percentiles\n \n </td>\n <td>\n </td>\n <td colspan=\"3\">\n \n Percentiles\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n 25-th\n \n </td>\n <td>\n \n Median\n \n </td>\n <td>\n \n 75-th\n \n </td>\n <td>\n </td>\n <td>\n \n 25-th\n \n </td>\n <td>\n \n Median\n \n </td>\n <td>\n \n 75-th\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n \n PCDDs\n \n \n (\n \n pg/g lipid\n \n )\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 2,3,7,8-TCDD\n </td>\n <td>\n 4.1\n </td>\n <td>\n 2/29\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 1.000\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n 1,2,3,7,8-PeCDD\n </td>\n <td>\n 4.8\n </td>\n <td>\n 12/30\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 8.30\n </td>\n <td>\n 1.000\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 8.30\n </td>\n </tr>\n <tr>\n <td>\n 1,2,3,6,7,8-HxCDD\n </td>\n <td>\n 7.1\n </td>\n <td>\n 1/30\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.100\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n 1,2,3,7,8,9-HxCDD\n </td>\n <td>\n 6.9\n </td>\n <td>\n 3/30\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.100\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n 1,2,3,4,6,7,8-HpCDD\n </td>\n <td>\n 14.6\n </td>\n <td>\n 15/30\n </td>\n <td>\n 9.40\n </td>\n <td>\n 14.9\n </td>\n <td>\n 25.1\n </td>\n <td>\n 0.010\n </td>\n <td>\n 0.09\n </td>\n <td>\n 0.15\n </td>\n <td>\n 0.25\n </td>\n </tr>\n <tr>\n <td>\n 1,2,3,4,6,7,9-HpCDD\n </td>\n <td>\n 9.0\n </td>\n <td>\n 0/30\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.20\n </td>\n <td>\n 1.70\n </td>\n <td>\n 0.0000\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n OCDD\n </td>\n <td>\n 73.1\n </td>\n <td>\n 15/29\n </td>\n <td>\n 32.9\n </td>\n <td>\n 75.0\n </td>\n <td>\n 100\n </td>\n <td>\n 0.0001\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.01\n </td>\n <td>\n 0.01\n </td>\n </tr>\n <tr>\n <td>\n \n \n PCDFs\n \n \n (\n \n pg/g lipid\n \n )\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 2,3,7,8-TCDF\n </td>\n <td>\n 3.9\n </td>\n <td>\n 0/30\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.1000\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n 1,2,3,7,8-PeCDF\n </td>\n <td>\n 4.7\n </td>\n <td>\n 1/30\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.050\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n 2,3,4,7,8-PeCDF\n </td>\n <td>\n 4.5\n </td>\n <td>\n 29/30\n </td>\n <td>\n 8.50\n </td>\n <td>\n 12.6\n </td>\n <td>\n 17.4\n </td>\n <td>\n 0.500\n </td>\n <td>\n 4.25\n </td>\n <td>\n 6.30\n </td>\n <td>\n 8.75\n </td>\n </tr>\n <tr>\n <td>\n 1,2,3,4,7,8-HxCDF\n </td>\n <td>\n 4.2\n </td>\n <td>\n 27/30\n </td>\n <td>\n 5.50\n </td>\n <td>\n 9.15\n </td>\n <td>\n 20.1\n </td>\n <td>\n 0.100\n </td>\n <td>\n 0.55\n </td>\n <td>\n 0.92\n </td>\n <td>\n 2.01\n </td>\n </tr>\n <tr>\n <td>\n 1,2,3,6,7,8-HxCDF\n </td>\n <td>\n 4.5\n </td>\n <td>\n 21/30\n </td>\n <td>\n 0.00\n </td>\n <td>\n 5.70\n </td>\n <td>\n 8.70\n </td>\n <td>\n 0.100\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.57\n </td>\n <td>\n 0.87\n </td>\n </tr>\n <tr>\n <td>\n 1,2,3,7,8,9-HxCDF\n </td>\n <td>\n 4.2\n </td>\n <td>\n 0/30\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.100\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n 2,3,4,6,7,8-HxCDF\n </td>\n <td>\n 4.5\n </td>\n <td>\n 1/30\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 1.80\n </td>\n <td>\n 0.100\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.18\n </td>\n </tr>\n <tr>\n <td>\n 1,2,3,4,6,7,8-HpCDF\n </td>\n <td>\n 16.8\n </td>\n <td>\n 0/30\n </td>\n <td>\n 3.00\n </td>\n <td>\n 5.30\n </td>\n <td>\n 10.5\n </td>\n <td>\n 0.010\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.05\n </td>\n <td>\n 0.11\n </td>\n </tr>\n <tr>\n <td>\n 1,2,3,4,7,8,9-HpCDF\n </td>\n <td>\n 6.0\n </td>\n <td>\n 0/30\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.010\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n \n \n Coplanar PCBs\n \n \n (\n \n pg/g lipid\n \n )\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 3,4,4',5-TCB 81\n </td>\n <td>\n 11.0\n </td>\n <td>\n 2/30\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 1.60\n </td>\n <td>\n 0.0001\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n 3,3',4,4',5-PeCB 126\n </td>\n <td>\n 25.3\n </td>\n <td>\n 30/30\n </td>\n <td>\n 43.3\n </td>\n <td>\n 68.4\n </td>\n <td>\n 116\n </td>\n <td>\n 0.1000\n </td>\n <td>\n 4.33\n </td>\n <td>\n 6.84\n </td>\n <td>\n 11.6\n </td>\n </tr>\n <tr>\n <td>\n 3,3',4,4',5,5'-HxCB 169\n </td>\n <td>\n 7.7\n </td>\n <td>\n 28/30\n </td>\n <td>\n 27.3\n </td>\n <td>\n 44.2\n </td>\n <td>\n 54.3\n </td>\n <td>\n 0.0100\n </td>\n <td>\n 0.27\n </td>\n <td>\n 0.44\n </td>\n <td>\n 0.54\n </td>\n </tr>\n <tr>\n <td>\n \n \n Mono-ortho PCBs\n \n \n (\n \n ng/g lipid\n \n )\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 2,3,3',4,4'-PeCB (105)\n </td>\n <td>\n 11.0\n </td>\n <td>\n 9/27\n </td>\n <td>\n 5.6\n </td>\n <td>\n 7.1\n </td>\n <td>\n 11.8\n </td>\n <td>\n 0.0001\n </td>\n <td>\n 0.56\n </td>\n <td>\n 0.71\n </td>\n <td>\n 1.18\n </td>\n </tr>\n <tr>\n <td>\n 2,3',4,4',5-PeCB (118)\n </td>\n <td>\n 11.0\n </td>\n <td>\n 27/27\n </td>\n <td>\n 20.7\n </td>\n <td>\n 28.0\n </td>\n <td>\n 51.6\n </td>\n <td>\n 0.0001\n </td>\n <td>\n 2.07\n </td>\n <td>\n 2.80\n </td>\n <td>\n 5.16\n </td>\n </tr>\n <tr>\n <td>\n 2,3,3',4,4',5-HxCB (156)\n </td>\n <td>\n 11.0\n </td>\n <td>\n 10/27\n </td>\n <td>\n 7.5\n </td>\n <td>\n 9.1\n </td>\n <td>\n 15.9\n </td>\n <td>\n 0.0005\n </td>\n <td>\n 3.75\n </td>\n <td>\n 4.55\n </td>\n <td>\n 7.95\n </td>\n </tr>\n <tr>\n <td>\n 2,3,3',4,4',5'-HxCB (157)\n </td>\n <td>\n 11.0\n </td>\n <td>\n 0/27\n </td>\n <td>\n 2.3\n </td>\n <td>\n 2.6\n </td>\n <td>\n 4.3\n </td>\n <td>\n 0.0005\n </td>\n <td>\n 1.15\n </td>\n <td>\n 1.30\n </td>\n <td>\n 2.15\n </td>\n </tr>\n <tr>\n <td>\n 2,3',4,4',5,5'-HxCB (167)\n </td>\n <td>\n 11.0\n </td>\n <td>\n 0/27\n </td>\n <td>\n 1.6\n </td>\n <td>\n 2.0\n </td>\n <td>\n 3.7\n </td>\n <td>\n 0.00001\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.04\n </td>\n </tr>\n <tr>\n <td>\n 2,3,3',4,4',5,5'-HpCB (189)\n </td>\n <td>\n 10.9\n </td>\n <td>\n 0/25\n </td>\n <td>\n 0.4\n </td>\n <td>\n 0.6\n </td>\n <td>\n 0.8\n </td>\n <td>\n 0.0001\n </td>\n <td>\n 0.04\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.08\n </td>\n </tr>\n <tr>\n <td>\n \n Total PCDDs (pg/g lipid)\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 40.9\n </td>\n <td>\n 95.8\n </td>\n <td>\n 144\n </td>\n <td>\n </td>\n <td>\n 0.10\n </td>\n <td>\n 0.29\n </td>\n <td>\n 9.14\n </td>\n </tr>\n <tr>\n <td>\n \n Total PCDFs (pg/g lipid)\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 20.4\n </td>\n <td>\n 33.9\n </td>\n <td>\n 61.8\n </td>\n <td>\n </td>\n <td>\n 5.27\n </td>\n <td>\n 7.98\n </td>\n <td>\n 12.3\n </td>\n </tr>\n <tr>\n <td>\n \n Total coplanar PCBs (pg/g lipid)\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 77.6\n </td>\n <td>\n 120\n </td>\n <td>\n 157\n </td>\n <td>\n </td>\n <td>\n 4.51\n </td>\n <td>\n 7.39\n </td>\n <td>\n 11.9\n </td>\n </tr>\n <tr>\n <td>\n \n Total PCDD/F/coplanar PCBs (pg/g lipid)\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 154\n </td>\n <td>\n 273\n </td>\n <td>\n 397\n </td>\n <td>\n </td>\n <td>\n 12.1\n </td>\n <td>\n 17.1\n </td>\n <td>\n 38.1\n </td>\n </tr>\n <tr>\n <td>\n \n Total Mono-ortho PCBs\n \n (ng/g lipid)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 39.2\n </td>\n <td>\n 47.7\n </td>\n <td>\n 78.4\n </td>\n <td>\n </td>\n <td>\n 7.16\n </td>\n <td>\n 8.80\n </td>\n <td>\n 15.5\n </td>\n </tr>\n <tr>\n <td>\n \n Total TEQs\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 30.9\n </td>\n <td>\n 46.8\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n \n Score\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n \n Pre PI-ART\n \n Median (IQR)\n \n </td>\n <td>\n \n \n Follow-up\n \n Median (IQR)\n \n </td>\n <td>\n \n \n P\n \n -value\n <sup>\n a\n </sup>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Physical HRQL composite score (PCS)\n </td>\n <td>\n 79.3 (64.5–92.5)\n </td>\n <td>\n 77.2 (58.4–92.9)\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n Emotional HRQL composite score (ECS)\n </td>\n <td>\n 71.2 (47.1–86.9)\n </td>\n <td>\n 63.6 (41.0–77.3)\n </td>\n <td>\n <0.01\n </td>\n </tr>\n <tr>\n <td>\n Physical functioning\n </td>\n <td>\n 95.2 (81.0–95.2)\n </td>\n <td>\n 95.2 (84.5–100)\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n Mobility\n </td>\n <td>\n 100 (66.7–100)\n </td>\n <td>\n 100 (66.7–100)\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n Satisfaction with physical ability\n </td>\n <td>\n 66.7 (33.3–83.3)\n </td>\n <td>\n 66.7 (33.3–100)\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n Pain\n </td>\n <td>\n 100 (53.8–100)\n </td>\n <td>\n 100 (84.7–100)\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n Role limitations due to physical health\n </td>\n <td>\n 66.7 (55.6–100)\n </td>\n <td>\n 88.9 (50.0–100)\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n Sexual functioning\n </td>\n <td>\n 75.0 (41.7–91.7)\n </td>\n <td>\n 58.3 (41.7–91.7)\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n Role limitations due to emotional health\n </td>\n <td>\n 88.9 (66.7–100)\n </td>\n <td>\n 77.8 (50.0–100)\n </td>\n <td>\n <0.05\n </td>\n </tr>\n <tr>\n <td>\n Emotional well-being, positive affect\n </td>\n <td>\n 72.9 (47.9–83.3)\n </td>\n <td>\n 62.5 (37.5–83.3)\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n Emotional well-being, negative affect\n </td>\n <td>\n 62.5 (37.5–94.8)\n </td>\n <td>\n 50.0 (25.0–75.0)\n </td>\n <td>\n <0.01\n </td>\n </tr>\n <tr>\n <td>\n Sleep problems\n </td>\n <td>\n 67.9 (39.3–87.5)\n </td>\n <td>\n 57.1 (36.6–75.0)\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n Satisfaction with family life\n </td>\n <td>\n 72.9 (49.5–90.6)\n </td>\n <td>\n 72.9 (55.7–85.4)\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n Relation to partner\n </td>\n <td>\n 87.5 (75.0–100)\n </td>\n <td>\n 79.2 (52.1–95.8)\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n General health perception\n </td>\n <td>\n 55.6 (36.1–75.0)\n </td>\n <td>\n 63.9 (38.9–80.6)\n </td>\n <td>\n NS\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Pathogen\n \n </td>\n <td>\n \n Number of Isolates in PPb Patients\n \n </td>\n <td>\n \n Number of Isolates in bmITT Patients\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Total\n \n </td>\n <td>\n 204\n </td>\n <td>\n 337\n </td>\n </tr>\n <tr>\n <td>\n \n S pneumoniae\n \n </td>\n <td>\n 57\n </td>\n <td>\n 76\n </td>\n </tr>\n <tr>\n <td>\n \n H influenzae\n \n </td>\n <td>\n 49\n </td>\n <td>\n 88\n </td>\n </tr>\n <tr>\n <td>\n \n H parainfluenzae\n \n </td>\n <td>\n 46\n </td>\n <td>\n 81\n </td>\n </tr>\n <tr>\n <td>\n \n M catarrhalis\n \n </td>\n <td>\n 13\n </td>\n <td>\n 23\n </td>\n </tr>\n <tr>\n <td>\n \n K pneumoniae\n \n </td>\n <td>\n 3\n </td>\n <td>\n 9\n </td>\n </tr>\n <tr>\n <td>\n \n S aureus\n \n </td>\n <td>\n 15\n </td>\n <td>\n 23\n </td>\n </tr>\n <tr>\n <td>\n Other*\n </td>\n <td>\n 21\n </td>\n <td>\n 37\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"3\">\n \n MIC Susceptibility* (μg/mL)\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Subject No.\n \n </td>\n <td>\n \n Isolate (Source)\n \n </td>\n <td>\n \n TEL\n \n </td>\n <td>\n \n Pen G\n \n </td>\n <td>\n \n Ery A\n \n </td>\n <td>\n \n Bacteriologic Outcome\n <sup>\n †\n </sup>\n \n </td>\n <td>\n \n Clinical Outcome\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"7\">\n \n Subjects with single-pathogen\n \n S pneumoniae\n \n isolate\n \n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n \n S pneumoniae\n \n (sputum)\n </td>\n <td>\n 0.030 (S)\n </td>\n <td>\n 0.030 (S)\n </td>\n <td>\n b>8.000 (R)\n </td>\n <td>\n Eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n \n S pneumoniae\n \n (sputum)\n </td>\n <td>\n 0.030 (S)\n </td>\n <td>\n 2.000 (R)\n </td>\n <td>\n 0.250 (S)\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n \n S pneumoniae\n \n (sputum)\n </td>\n <td>\n 0.500 (S)\n </td>\n <td>\n 2.000 (R)\n </td>\n <td>\n 8.000 (R)\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td colspan=\"7\">\n \n \n Subjects with multiple-pathogen S pneumoniae\n \n isolate\n \n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n \n S pneumoniae\n \n (sputum)\n </td>\n <td>\n 0.060 (S)\n </td>\n <td>\n 2.000 (R)\n </td>\n <td>\n 4.000 (R)\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n M catarrhalis\n \n </td>\n <td>\n 0.120 (S)\n </td>\n <td>\n ND\n </td>\n <td>\n 0.120\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td>\n 5\n </td>\n <td>\n \n S pneumoniae\n \n (sputum)\n </td>\n <td>\n 0.250 (S)\n </td>\n <td>\n 2.000 (R)\n </td>\n <td>\n 8.000 (R)\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td>\n 6\n </td>\n <td>\n \n S pneumoniae\n \n (sputum)\n </td>\n <td>\n 0.030 (S)\n </td>\n <td>\n 2.000 (R)\n </td>\n <td>\n 0.060 (S)\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n H influenzae\n \n </td>\n <td>\n 0.002 (S)\n </td>\n <td>\n ND\n </td>\n <td>\n 1.000\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n M catarrhalis\n \n </td>\n <td>\n 0.120 (S)\n </td>\n <td>\n ND\n </td>\n <td>\n 0.250\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td>\n 7\n </td>\n <td>\n \n S pneumoniae\n \n (sputum)\n </td>\n <td>\n 0.500 (S)\n </td>\n <td>\n 2.000 (R)\n </td>\n <td>\n 8.000 (R)\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n H influenzae\n \n </td>\n <td>\n 2.000 (S)\n </td>\n <td>\n ND\n </td>\n <td>\n 4.000\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td>\n 8\n </td>\n <td>\n \n S pneumoniae\n \n (blood)\n </td>\n <td>\n 1.000 (S)\n </td>\n <td>\n 0.250 (I)\n </td>\n <td>\n 8.000 (R)\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n H influenzae\n \n </td>\n <td>\n 1.000 (S)\n </td>\n <td>\n ND\n </td>\n <td>\n 4.000\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td>\n 9\n </td>\n <td>\n \n S pneumoniae\n \n (blood)\n </td>\n <td>\n 1.000 (S)\n </td>\n <td>\n 0.500 (I)\n </td>\n <td>\n 8.000 (R)\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n H influenzae\n \n </td>\n <td>\n 8.000 (R)\n </td>\n <td>\n ND\n </td>\n <td>\n 4.000\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n S aureus\n \n </td>\n <td>\n 0.120 (S)\n </td>\n <td>\n ND\n </td>\n <td>\n 0.500\n </td>\n <td>\n Presumed eradication\n </td>\n <td>\n Cure\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Spn (%)\n \n </td>\n <td>\n \n PRSpn (%)\n \n </td>\n <td>\n \n Hi (%)\n \n </td>\n <td>\n \n Mc (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Day 0\n \n </td>\n <td>\n 22/27 (81%)\n </td>\n <td>\n 16/27 (59%)\n </td>\n <td>\n 19/27 (70%)\n </td>\n <td>\n 26/27 (96%)\n </td>\n </tr>\n <tr>\n <td>\n \n Week 1\n \n </td>\n <td>\n 20/24 (83%)\n </td>\n <td>\n 16/24 (67%)\n </td>\n <td>\n 17/24 (71%)\n </td>\n <td>\n 24/24 (100%)\n </td>\n </tr>\n <tr>\n <td>\n \n Week 2\n \n </td>\n <td>\n 18/21 (86%)\n </td>\n <td>\n 13/21 (62%)\n </td>\n <td>\n 17/21 (81%)\n </td>\n <td>\n 20/21 (95%)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n ItemNo.\n \n </td>\n <td>\n \n Item\n \n </td>\n <td>\n \n Mean\n \n </td>\n <td>\n \n SD\n \n </td>\n <td>\n \n Item-Diff. Index\n \n </td>\n <td>\n \n loading\n \n </td>\n <td colspan=\"3\">\n \n Cronbach's α\n \n </td>\n <td colspan=\"2\">\n \n r\n <sub>\n Item-total\n </sub>\n \n </td>\n <td>\n \n old Scale\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"2\">\n \n Total\n \n </td>\n <td>\n \n Scale-wise\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n long\n \n </td>\n <td>\n \n short\n \n </td>\n <td>\n </td>\n <td>\n \n long\n \n </td>\n <td>\n \n short\n \n </td>\n <td>\n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n \n Initiative Power & Interest\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n 0.885\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 10*\n </td>\n <td>\n good ideas\n </td>\n <td>\n 2.26\n </td>\n <td>\n 0.94\n </td>\n <td>\n 0.57\n </td>\n <td>\n 0.747\n </td>\n <td>\n 0.933\n </td>\n <td>\n 0.852\n </td>\n <td>\n 0.875\n </td>\n <td>\n 0.54\n </td>\n <td>\n 0.49\n </td>\n <td>\n \n 3\n \n </td>\n </tr>\n <tr>\n <td>\n 07*\n </td>\n <td>\n reacted spontaneously\n </td>\n <td>\n 2.13\n </td>\n <td>\n 1.08\n </td>\n <td>\n 0.53\n </td>\n <td>\n 0.640\n </td>\n <td>\n 0.934\n </td>\n <td>\n 0.855\n </td>\n <td>\n 0.880\n </td>\n <td>\n 0.47\n </td>\n <td>\n 0.42\n </td>\n <td>\n \n 3\n \n </td>\n </tr>\n <tr>\n <td>\n 11*\n </td>\n <td>\n concerned\n </td>\n <td>\n 2.72\n </td>\n <td>\n 1.02\n </td>\n <td>\n 0.68\n </td>\n <td>\n 0.630\n </td>\n <td>\n 0.932\n </td>\n <td>\n 0.846\n </td>\n <td>\n 0.871\n </td>\n <td>\n 0.67\n </td>\n <td>\n 0.61\n </td>\n <td>\n \n 3\n \n </td>\n </tr>\n <tr>\n <td>\n 08*\n </td>\n <td>\n decisive\n </td>\n <td>\n 2.44\n </td>\n <td>\n 0.91\n </td>\n <td>\n 0.61\n </td>\n <td>\n 0.617\n </td>\n <td>\n 0.934\n </td>\n <td>\n 0.852\n </td>\n <td>\n 0.876\n </td>\n <td>\n 0.54\n </td>\n <td>\n 0.48\n </td>\n <td>\n \n 4\n \n </td>\n </tr>\n <tr>\n <td>\n 12\n </td>\n <td>\n put plans into action\n </td>\n <td>\n 2.09\n </td>\n <td>\n 0.91\n </td>\n <td>\n 0.52\n </td>\n <td>\n 0.572\n </td>\n <td>\n 0.933\n </td>\n <td>\n </td>\n <td>\n 0.877\n </td>\n <td>\n 0.58\n </td>\n <td>\n </td>\n <td>\n \n 4\n \n </td>\n </tr>\n <tr>\n <td>\n 25\n </td>\n <td>\n difficult to take the initiative\n </td>\n <td>\n 2.33\n </td>\n <td>\n 1.12\n </td>\n <td>\n 0.58\n </td>\n <td>\n 0.535\n </td>\n <td>\n 0.932\n </td>\n <td>\n </td>\n <td>\n 0.873\n </td>\n <td>\n 0.65\n </td>\n <td>\n </td>\n <td>\n \n 4\n \n </td>\n </tr>\n <tr>\n <td>\n 36\n </td>\n <td>\n enhanced personally\n </td>\n <td>\n 2.02\n </td>\n <td>\n 1.11\n </td>\n <td>\n 0.51\n </td>\n <td>\n 0.531\n </td>\n <td>\n 0.934\n </td>\n <td>\n </td>\n <td>\n 0.881\n </td>\n <td>\n 0.47\n </td>\n <td>\n </td>\n <td>\n \n 4\n \n </td>\n </tr>\n <tr>\n <td>\n 34\n </td>\n <td>\n adapt to other people and situations\n </td>\n <td>\n 2.79\n </td>\n <td>\n 0.81\n </td>\n <td>\n 0.70\n </td>\n <td>\n 0.530\n </td>\n <td>\n 0.934\n </td>\n <td>\n </td>\n <td>\n 0.878\n </td>\n <td>\n 0.50\n </td>\n <td>\n </td>\n <td>\n \n 3\n \n </td>\n </tr>\n <tr>\n <td>\n 33\n </td>\n <td>\n asserted in the environment\n </td>\n <td>\n 2.48\n </td>\n <td>\n 0.96\n </td>\n <td>\n 0.62\n </td>\n <td>\n 0.519\n </td>\n <td>\n 0.933\n </td>\n <td>\n </td>\n <td>\n 0.876\n </td>\n <td>\n 0.55\n </td>\n <td>\n </td>\n <td>\n \n 4\n \n </td>\n </tr>\n <tr>\n <td>\n 17\n </td>\n <td>\n felt secure\n </td>\n <td>\n 2.36\n </td>\n <td>\n 0.95\n </td>\n <td>\n 0.59\n </td>\n <td>\n 0.481\n </td>\n <td>\n 0.932\n </td>\n <td>\n </td>\n <td>\n 0.874\n </td>\n <td>\n 0.66\n </td>\n <td>\n </td>\n <td>\n \n 4\n \n </td>\n </tr>\n <tr>\n <td>\n 21\n </td>\n <td>\n future was clear\n </td>\n <td>\n 2.21\n </td>\n <td>\n 1.14\n </td>\n <td>\n 0.55\n </td>\n <td>\n 0.455\n </td>\n <td>\n 0.933\n </td>\n <td>\n </td>\n <td>\n 0.879\n </td>\n <td>\n 0.56\n </td>\n <td>\n </td>\n <td>\n \n 4\n \n </td>\n </tr>\n <tr>\n <td>\n 06\n </td>\n <td>\n sought contact to others\n </td>\n <td>\n 2.27\n </td>\n <td>\n 1.10\n </td>\n <td>\n 0.57\n </td>\n <td>\n 0.453\n </td>\n <td>\n 0.935\n </td>\n <td>\n </td>\n <td>\n 0.884\n </td>\n <td>\n 0.41\n </td>\n <td>\n </td>\n <td>\n \n 5\n \n </td>\n </tr>\n <tr>\n <td>\n 30\n </td>\n <td>\n felt enterprising/energetic\n </td>\n <td>\n 2.01\n </td>\n <td>\n 1.05\n </td>\n <td>\n 0.50\n </td>\n <td>\n 0.431\n </td>\n <td>\n 0.932\n </td>\n <td>\n </td>\n <td>\n 0.876\n </td>\n <td>\n 0.66\n </td>\n <td>\n </td>\n <td>\n \n 3\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Social Interaction\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n 0.812\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 16*\n </td>\n <td>\n felt left out\n </td>\n <td>\n 2.79\n </td>\n <td>\n 1.07\n </td>\n <td>\n 0.70\n </td>\n <td>\n 0.697\n </td>\n <td>\n 0.933\n </td>\n <td>\n 0.850\n </td>\n <td>\n 0.775\n </td>\n <td>\n 0.57\n </td>\n <td>\n 0.52\n </td>\n <td>\n \n 5\n \n </td>\n </tr>\n <tr>\n <td>\n 27*\n </td>\n <td>\n felt over-directed\n </td>\n <td>\n 2.90\n </td>\n <td>\n 1.10\n </td>\n <td>\n 0.73\n </td>\n <td>\n 0.636\n </td>\n <td>\n 0.933\n </td>\n <td>\n 0.853\n </td>\n <td>\n 0.780\n </td>\n <td>\n 0.57\n </td>\n <td>\n 0.51\n </td>\n <td>\n \n 4\n \n </td>\n </tr>\n <tr>\n <td>\n 20*\n </td>\n <td>\n abandoned community life\n </td>\n <td>\n 2.51\n </td>\n <td>\n 1.12\n </td>\n <td>\n 0.63\n </td>\n <td>\n 0.631\n </td>\n <td>\n 0.932\n </td>\n <td>\n 0.847\n </td>\n <td>\n 0.766\n </td>\n <td>\n 0.66\n </td>\n <td>\n 0.59\n </td>\n <td>\n \n 5\n \n </td>\n </tr>\n <tr>\n <td>\n 18\n </td>\n <td>\n family life was a burden\n </td>\n <td>\n 2.92\n </td>\n <td>\n 1.18\n </td>\n <td>\n 0.73\n </td>\n <td>\n 0.546\n </td>\n <td>\n 0.934\n </td>\n <td>\n </td>\n <td>\n 0.792\n </td>\n <td>\n 0.52\n </td>\n <td>\n </td>\n <td>\n \n 5\n \n </td>\n </tr>\n <tr>\n <td>\n 32\n </td>\n <td>\n didn't feel comfortable in the company of others\n </td>\n <td>\n 2.31\n </td>\n <td>\n 1.10\n </td>\n <td>\n 0.58\n </td>\n <td>\n 0.532\n </td>\n <td>\n 0.934\n </td>\n <td>\n </td>\n <td>\n 0.808\n </td>\n <td>\n 0.46\n </td>\n <td>\n </td>\n <td>\n \n 5\n \n </td>\n </tr>\n <tr>\n <td>\n 28\n </td>\n <td>\n convey feelings to other\n </td>\n <td>\n 2.63\n </td>\n <td>\n 0.92\n </td>\n <td>\n 0.66\n </td>\n <td>\n 0.496\n </td>\n <td>\n 0.933\n </td>\n <td>\n </td>\n <td>\n 0.788\n </td>\n <td>\n 0.57\n </td>\n <td>\n </td>\n <td>\n \n 5\n \n </td>\n </tr>\n <tr>\n <td>\n 05\n </td>\n <td>\n anxious/fearful\n </td>\n <td>\n 2.42\n </td>\n <td>\n 1.20\n </td>\n <td>\n 0.61\n </td>\n <td>\n 0.461\n </td>\n <td>\n 0.933\n </td>\n <td>\n </td>\n <td>\n 0.797\n </td>\n <td>\n 0.56\n </td>\n <td>\n </td>\n <td>\n \n 3\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Mental Balance\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n 0.812\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 35*\n </td>\n <td>\n nervous / irascibly\n </td>\n <td>\n 1.99\n </td>\n <td>\n 1.06\n </td>\n <td>\n 0.50\n </td>\n <td>\n 0.640\n </td>\n <td>\n 0.934\n </td>\n <td>\n 0.858\n </td>\n <td>\n 0.803\n </td>\n <td>\n 0.47\n </td>\n <td>\n 0.40\n </td>\n <td>\n \n 3\n \n </td>\n </tr>\n <tr>\n <td>\n 26*\n </td>\n <td>\n well-balanced\n </td>\n <td>\n 2.01\n </td>\n <td>\n 0.97\n </td>\n <td>\n 0.50\n </td>\n <td>\n 0.600\n </td>\n <td>\n 0.932\n </td>\n <td>\n 0.850\n </td>\n <td>\n 0.770\n </td>\n <td>\n 0.67\n </td>\n <td>\n 0.61\n </td>\n <td>\n \n 3\n \n </td>\n </tr>\n <tr>\n <td>\n 19*\n </td>\n <td>\n exhausted\n </td>\n <td>\n 1.24\n </td>\n <td>\n 0.94\n </td>\n <td>\n 0.31\n </td>\n <td>\n 0.567\n </td>\n <td>\n 0.933\n </td>\n <td>\n 0.849\n </td>\n <td>\n 0.782\n </td>\n <td>\n 0.59\n </td>\n <td>\n 0.56\n </td>\n <td>\n \n 2\n \n </td>\n </tr>\n <tr>\n <td>\n 09\n </td>\n <td>\n could recover myself\n </td>\n <td>\n 1.57\n </td>\n <td>\n 0.99\n </td>\n <td>\n 0.39\n </td>\n <td>\n 0.557\n </td>\n <td>\n 0.933\n </td>\n <td>\n </td>\n <td>\n 0.784\n </td>\n <td>\n 0.55\n </td>\n <td>\n </td>\n <td>\n \n 2\n \n </td>\n </tr>\n <tr>\n <td>\n 31\n </td>\n <td>\n tired\n </td>\n <td>\n 1.38\n </td>\n <td>\n 0.92\n </td>\n <td>\n 0.35\n </td>\n <td>\n 0.554\n </td>\n <td>\n 0.933\n </td>\n <td>\n </td>\n <td>\n 0.784\n </td>\n <td>\n 0.57\n </td>\n <td>\n </td>\n <td>\n \n 2\n \n </td>\n </tr>\n <tr>\n <td>\n 39\n </td>\n <td>\n I happy\n </td>\n <td>\n 2.10\n </td>\n <td>\n 0.90\n </td>\n <td>\n 0.53\n </td>\n <td>\n 0.499\n </td>\n <td>\n 0.932\n </td>\n <td>\n </td>\n <td>\n 0.781\n </td>\n <td>\n 0.69\n </td>\n <td>\n </td>\n <td>\n \n 3\n \n </td>\n </tr>\n <tr>\n <td>\n 04\n </td>\n <td>\n sleep was refreshing\n </td>\n <td>\n 1.55\n </td>\n <td>\n 1.05\n </td>\n <td>\n 0.39\n </td>\n <td>\n 0.356\n </td>\n <td>\n 0.935\n </td>\n <td>\n </td>\n <td>\n 0.809\n </td>\n <td>\n 0.42\n </td>\n <td>\n </td>\n <td>\n \n 2\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Motility\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n 0.781\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 22*\n </td>\n <td>\n physically agile\n </td>\n <td>\n 1.95\n </td>\n <td>\n 1.02\n </td>\n <td>\n 0.49\n </td>\n <td>\n 0.789\n </td>\n <td>\n 0.935\n </td>\n <td>\n 0.854\n </td>\n <td>\n 0.708\n </td>\n <td>\n 0.40\n </td>\n <td>\n 0.43\n </td>\n <td>\n \n 1\n \n </td>\n </tr>\n <tr>\n <td>\n 24*\n </td>\n <td>\n movement was light\n </td>\n <td>\n 1.84\n </td>\n <td>\n 1.07\n </td>\n <td>\n 0.46\n </td>\n <td>\n 0.786\n </td>\n <td>\n 0.934\n </td>\n <td>\n 0.851\n </td>\n <td>\n 0.673\n </td>\n <td>\n 0.47\n </td>\n <td>\n 0.46\n </td>\n <td>\n \n 1\n \n </td>\n </tr>\n <tr>\n <td>\n 38*\n </td>\n <td>\n arms and legs felt heavy\n </td>\n <td>\n 1.36\n </td>\n <td>\n 1.07\n </td>\n <td>\n 0.34\n </td>\n <td>\n 0.668\n </td>\n <td>\n 0.935\n </td>\n <td>\n 0.855\n </td>\n <td>\n 0.571\n </td>\n <td>\n 0.39\n </td>\n <td>\n 0.42\n </td>\n <td>\n \n 1\n \n </td>\n </tr>\n <tr>\n <td>\n 37\n </td>\n <td>\n powerful\n </td>\n <td>\n 1.47\n </td>\n <td>\n 0.95\n </td>\n <td>\n 0.37\n </td>\n <td>\n 0.509\n </td>\n <td>\n 0.933\n </td>\n <td>\n </td>\n <td>\n 0.482\n </td>\n <td>\n 0.56\n </td>\n <td>\n </td>\n <td>\n \n 2\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Physical Complaints\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n 0.692\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 02*\n </td>\n <td>\n suffered from physical pain\n </td>\n <td>\n 1.04\n </td>\n <td>\n 0.97\n </td>\n <td>\n 0.26\n </td>\n <td>\n 0.726\n </td>\n <td>\n 0.936\n </td>\n <td>\n 0.859\n </td>\n <td>\n *\n </td>\n <td>\n 0.27\n </td>\n <td>\n 0.32\n </td>\n <td>\n \n 1\n \n </td>\n </tr>\n <tr>\n <td>\n 01*\n </td>\n <td>\n felt ill\n </td>\n <td>\n 1.09\n </td>\n <td>\n 0.91\n </td>\n <td>\n 0.27\n </td>\n <td>\n 0.705\n </td>\n <td>\n 0.935\n </td>\n <td>\n 0.853\n </td>\n <td>\n *\n </td>\n <td>\n 0.42\n </td>\n <td>\n 0.44\n </td>\n <td>\n \n 2\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Digestive Well-Being\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n 0.621\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 03*\n </td>\n <td>\n good appetite\n </td>\n <td>\n 2.71\n </td>\n <td>\n 1.12\n </td>\n <td>\n 0.68\n </td>\n <td>\n 0.763\n </td>\n <td>\n 0.935\n </td>\n <td>\n 0.857\n </td>\n <td>\n *\n </td>\n <td>\n 0.37\n </td>\n <td>\n 0.38\n </td>\n <td>\n \n 2\n \n </td>\n </tr>\n <tr>\n <td>\n 23*\n </td>\n <td>\n mealtimes were a burden\n </td>\n <td>\n 2.87\n </td>\n <td>\n 1.10\n </td>\n <td>\n 0.72\n </td>\n <td>\n 0.734\n </td>\n <td>\n 0.934\n </td>\n <td>\n 0.853\n </td>\n <td>\n *\n </td>\n <td>\n 0.45\n </td>\n <td>\n 0.46\n </td>\n <td>\n \n 2\n \n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Cell type\n \n </td>\n <td colspan=\"4\">\n \n Iodide uptake (cpm/well)\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n \n P\n \n \n </td>\n <td>\n \n + KClO\n <sub>\n 4\n </sub>\n \n </td>\n <td>\n \n \n P\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n ARO wild-type\n </td>\n <td>\n 133 ± 35\n </td>\n <td>\n </td>\n <td>\n 78 ± 26\n </td>\n <td>\n **0.09\n </td>\n </tr>\n <tr>\n <td>\n ARO pCMV\n </td>\n <td>\n 137 ± 42\n </td>\n <td>\n *0.9\n </td>\n <td>\n 82 ± 47\n </td>\n <td>\n **0.2\n </td>\n </tr>\n <tr>\n <td>\n ARO-PAX8 clone 8\n </td>\n <td>\n 307 ± 43\n </td>\n <td>\n *0.006\n </td>\n <td>\n 126 ± 27\n </td>\n <td>\n **0.003\n </td>\n </tr>\n <tr>\n <td>\n ARO-PAX8 clone 21\n </td>\n <td>\n 257 ± 36\n </td>\n <td>\n *0.01\n </td>\n <td>\n 104 ± 26\n </td>\n <td>\n **0.004\n </td>\n </tr>\n <tr>\n <td>\n FRTL-5\n </td>\n <td>\n 4350 ± 320\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n CHO\n </td>\n <td>\n 40 ± 12\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n \n ICP β parameter (95% CI)\n \n \n </td>\n <td>\n \n \n HD β parameter (95% CI)\n \n \n </td>\n <td>\n \n \n LoS β parameter (95% CI)\n \n \n </td>\n <td>\n \n \n EHR β parameter (95% CI)\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Intercept\n </td>\n <td>\n 2.600 (2.455;2.744)\n </td>\n <td>\n - 7.004 (-7.393; -6.616)\n </td>\n <td>\n 1.006 (0.937;1.075)\n </td>\n <td>\n - 1.926 (-2.190;-1.662)\n </td>\n </tr>\n <tr>\n <td>\n \n Main effects\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Age\n \n </td>\n <td>\n - 0.040 (-0.042;-0.037)\n </td>\n <td>\n 0.066 (0.061;0.071)\n </td>\n <td>\n 0.011 (0.010;0.012)\n </td>\n <td>\n - 0.003 (-0.007;0.001)\n </td>\n </tr>\n <tr>\n <td>\n \n Women vs Men\n \n </td>\n <td>\n - 0.200 (-0.257;-0.144)\n </td>\n <td>\n - 0.103 (-0.222;0.015)\n </td>\n <td>\n 0.039 (0.013;0.064)\n </td>\n <td>\n - 0.237 (-0.360;-0.113)\n </td>\n </tr>\n <tr>\n <td>\n \n ICP\n \n </td>\n <td>\n -\n </td>\n <td>\n - 0.980 (-1.152;-0.807)\n </td>\n <td>\n 0.470 (0.439;0.501)\n </td>\n <td>\n - 0.838 (-0.964;-0.711)\n </td>\n </tr>\n <tr>\n <td>\n \n Distance cardiology Center\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n 32–64 km vs <32 km\n \n </td>\n <td>\n - 0.247 (-0.323;-0.170)\n </td>\n <td>\n - 0.132 (-0.285;0.022)\n </td>\n <td>\n 0.003 (-0.042;0.048)\n </td>\n <td>\n 0.138 (0.003;0.274)\n </td>\n </tr>\n <tr>\n <td>\n \n 64–105 km vs <32 km\n \n </td>\n <td>\n - 0.509 (-0.603;-0.416)\n </td>\n <td>\n 0.106 (-0.062;0.273)\n </td>\n <td>\n - 0.083 (-0.135;-0.032)\n </td>\n <td>\n 0.356 (0.207;0.505)\n </td>\n </tr>\n <tr>\n <td>\n \n ≥105 km vs <32 km\n \n </td>\n <td>\n - 0.486 (-0.563;-0.409)\n </td>\n <td>\n - 0.148 (-0.301;0.004)\n </td>\n <td>\n 0.040 (-0.003;0.083)\n </td>\n <td>\n 0.128 (-0.005;0.262)\n </td>\n </tr>\n <tr>\n <td>\n \n Interaction terms\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Women\n \n ×\n \n ICP\n \n </td>\n <td>\n -\n </td>\n <td>\n 0.4327 (0.181;0.685)\n </td>\n <td>\n -\n </td>\n <td>\n 0.367 (0.151;0.583)\n </td>\n </tr>\n <tr>\n <td>\n \n ICP\n \n ×\n \n Distance\n \n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n 32–64 km vs <32 km\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.138 (0.069;0.207)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n 64–105 km vs <32 km\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.276 (0.192;0.360)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n ≥105 km vs <32 km\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.350 (0.280;0.419)\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"3\">\n \n -509\n \n </td>\n <td colspan=\"3\">\n \n Codon10\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n CC\n <sup>\n §\n </sup>\n (280)\n \n </td>\n <td>\n \n CT (310)\n \n </td>\n <td>\n \n TT (63)\n \n </td>\n <td>\n \n LL (212)\n \n </td>\n <td>\n \n LP (337)\n \n </td>\n <td>\n \n PP (97)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age (yr)\n </td>\n <td>\n 27.1 ± 4.3\n </td>\n <td>\n 27.9 ± 4.7\n </td>\n <td>\n 27.5 ± 4.8\n </td>\n <td>\n 27.3 ± 4.2\n </td>\n <td>\n 27.6 ± 4.6\n </td>\n <td>\n 27.7 ± 4.9\n </td>\n </tr>\n <tr>\n <td>\n Weight (kg)\n </td>\n <td>\n 63 ± 13\n </td>\n <td>\n 64 ± 11\n </td>\n <td>\n 62 ± 9\n </td>\n <td>\n 63 ± 2\n </td>\n <td>\n 64 ±12\n </td>\n <td>\n 62 ± 9\n </td>\n </tr>\n <tr>\n <td>\n Height (m)\n </td>\n <td>\n 1.65 ± 0.06\n </td>\n <td>\n 1.65 ± 0.07\n </td>\n <td>\n 1.66 ± 0.07\n </td>\n <td>\n 1.65 ± 0.06\n </td>\n <td>\n 1.65 ± 0.07\n </td>\n <td>\n 1.65 ± 0.07\n </td>\n </tr>\n <tr>\n <td>\n Calcium intake (mg/day)\n </td>\n <td>\n 590 ± 380\n </td>\n <td>\n 550 ± 340\n </td>\n <td>\n 510 ± 310\n </td>\n <td>\n 580 ± 370\n </td>\n <td>\n 570 ± 370\n </td>\n <td>\n 510 ± 300\n </td>\n </tr>\n <tr>\n <td>\n Caffeine intake (cups/day)\n </td>\n <td>\n 1.49 ± 1.21\n </td>\n <td>\n 1.62 ± 1.61\n </td>\n <td>\n 1.33 ± 1.18\n </td>\n <td>\n 1.49 ± 1.20\n </td>\n <td>\n 1.65 ± 1.57\n </td>\n <td>\n 1.25 ± 1.21\n </td>\n </tr>\n <tr>\n <td>\n BMI (kg/m\n <sup>\n 2\n </sup>\n )\n </td>\n <td>\n 23 ± 3\n </td>\n <td>\n 23 ± 3\n </td>\n <td>\n 23 ± 4\n </td>\n <td>\n 23 ± 3\n </td>\n <td>\n 23 ± 3\n </td>\n <td>\n 23 ± 3\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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{
"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td colspan=\"4\">\n \n Female client with stroke-induced disability a large-scale model with 16 types of potential input events, 12 states to estimate, 5 outputs, and 3 outcomes.\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"4\">\n \n Problem statement:\n \n An older woman presents with stroke-induced disability (4 months post-stroke) that includes mild functional limitations to gait and posture, and significant impairment of the right arm and hand and of speech production. She also presents with mild osteoarthritis that affects her hips and knees. Released from outpatient care and living alone, her current \"prescriptions\" include three types of medication doses (for general joint and skeletal health, for pain from arthritis, and for spasticity), and three types of activities suggested by her former therapist (walking/cycling, hand operation, and oral communication). She also has two important weekly events: a visit most Sundays from her daughter (who is a nurse), and a visit most Tuesday's to the local community center (transportation is provided). She regularly uses a PDA-cellphone and a desktop computer (both set up by her other daughter who is an engineer, but lives in another state), and prefers to use an IP videoconferencing package to tele-visit with either of her daughters. Thus she is a good candidate for an assistive WIA.\n </td>\n </tr>\n <tr>\n <td>\n \n Inputs (and MF example)\n \n </td>\n <td>\n \n States (and MF example)\n \n </td>\n <td>\n \n Outputs\n \n </td>\n <td>\n \n Outcomes\n \n </td>\n </tr>\n <tr>\n <td>\n Facts:- Age (is old)- Initial Stroke (is severe)- Osteoarthritis (is mild)Contexts:- VisitDaughter (is full)- VisitCommCenter (is full)- LocationByGPS (is outside)- TeleVisitDaught (is active)- TimeOfDay (is morning)- NovelEvent (is negative)Interventions (Meds or Activity)- PillsOsteo (is right-dose)- PillsPain (is high-dose; conc)- PillsSpast (is 2-pills; conc)- Walking (is good)- Cycling (is good-quality)- Speech (is good-duration)- Keyboard (is good-session)\n </td>\n <td>\n Degree of Impairment:- Gait (is faster)- Balance (is better)- RightArm (is worse)- RightHand (is better)- Speech (is improved)Physiologic:- RestingHR (is higher)- RestingBP (is higher)- BoneJointHealth (is low )Other (\"Degree of ...\"):- Pain (is high)- RiskFalling (is high)- Motivation (is high)- SleepAtNight (is restful)\n </td>\n <td>\n Communication [\n \n \n Φ\n \n \n (Speech, Pain)]HandROM [\n \n \n Φ\n \n \n (Hand)]FIM [\n \n \n Φ\n \n \n (Arm, Hand, Balance, Speech, Pain)]RiskFracture [\n \n \n Φ\n \n \n (BJ-Health, Risk-Falling)]Adherence [\n \n \n Φ\n \n \n (Motivation, Pain, Sleep)]\n </td>\n <td>\n GenHealth [\n \n \n Φ\n \n \n (all impairment \\physiologic states)]Participation [\n \n \n Φ\n \n \n (Communication., Gait]QualityLife [\n \n \n Φ\n \n \n (Weekly-Pain, FIM, Speech, Gait, Adherence, Hand-ROM)]\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n \n \n S. aureus\n \n probes\n \n </td>\n <td colspan=\"2\">\n \n \n E. coli\n \n probes\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n R\n <sub>\n Cy3/Cy5\n </sub>\n </td>\n <td>\n Slope\n </td>\n <td>\n R\n <sub>\n Cy3/Cy5\n </sub>\n </td>\n <td>\n Slope\n </td>\n </tr>\n <tr>\n <td>\n Temp. 55°C Cy3/Cy5: 5 μg/5 μg\n </td>\n <td>\n 0.95\n </td>\n <td>\n 1.02\n </td>\n <td>\n 0.95\n </td>\n <td>\n 1.2\n </td>\n </tr>\n <tr>\n <td>\n Temp. 55°C Cy3/Cy5: 10 μg/10 μg\n </td>\n <td>\n 0.99\n </td>\n <td>\n 0.94\n </td>\n <td>\n 0.95\n </td>\n <td>\n 1.2\n </td>\n </tr>\n <tr>\n <td>\n Temp. 55°C Cy3/Cy5: 5 μg/10 μg\n </td>\n <td>\n 0.86\n </td>\n <td>\n 0.48\n </td>\n <td>\n 0.38\n </td>\n <td>\n 0.39\n </td>\n </tr>\n <tr>\n <td>\n Temp. 60°C Cy3/Cy5: 5 μg/5 μg\n </td>\n <td>\n 0.98\n </td>\n <td>\n 0.94\n </td>\n <td>\n 0.96\n </td>\n <td>\n 1.78\n </td>\n </tr>\n <tr>\n <td>\n Temp. 60°C Cy3/Cy5: 10 μg/10 μg\n </td>\n <td>\n 0.98\n </td>\n <td>\n 0.94\n </td>\n <td>\n 0.98\n </td>\n <td>\n 1.25\n </td>\n </tr>\n <tr>\n <td>\n Temp. 60°C Cy3/Cy5: 5 μg/10 μg\n </td>\n <td>\n 0.85\n </td>\n <td>\n 0.53\n </td>\n <td>\n 0.61\n </td>\n <td>\n 0.72\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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{
"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n N\n \n </td>\n <td>\n \n Women (%)\n \n </td>\n <td>\n \n Age (Mean ± SD)\n \n </td>\n <td>\n \n BMI (Mean ± SD)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Classification\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n CFS\n </td>\n <td>\n 52\n </td>\n <td>\n 44 (84.6%)\n </td>\n <td>\n 49.9 ± 7.9\n </td>\n <td>\n 28.4 ± 5.1\n </td>\n </tr>\n <tr>\n <td>\n ISF\n </td>\n <td>\n 40\n </td>\n <td>\n 29 (72.5%)\n </td>\n <td>\n 49.7 ± 9.3\n </td>\n <td>\n 28.7 ± 4.7\n </td>\n </tr>\n <tr>\n <td>\n Remission\n </td>\n <td>\n 24\n </td>\n <td>\n 17 (70.8%)\n </td>\n <td>\n 51.2 ± 9.1\n </td>\n <td>\n 28.8 ± 5.1\n </td>\n </tr>\n <tr>\n <td>\n Never Fatigued\n </td>\n <td>\n 48\n </td>\n <td>\n 41 (85.4%)\n </td>\n <td>\n 50.3 ± 8.5\n </td>\n <td>\n 28.9 ± 5.1\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"2\">\n \n Mean (SD)\n \n </td>\n <td>\n \n p-value\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Seronegative\n </td>\n <td>\n Seropositive\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Age (years)\n </td>\n <td>\n </td>\n <td>\n 55.2 (2.69)\n </td>\n <td>\n 54.9 (3.11)\n </td>\n <td>\n 0.45\n </td>\n </tr>\n <tr>\n <td>\n Total cholesterol\n </td>\n <td>\n </td>\n <td>\n 2.23 (0.42)\n </td>\n <td>\n 2.15 (0.31)\n </td>\n <td>\n 0.20\n </td>\n </tr>\n <tr>\n <td>\n HDL\n </td>\n <td>\n </td>\n <td>\n 0.48 (0.12)\n </td>\n <td>\n 0.48 (0.15)\n </td>\n <td>\n 0.69\n </td>\n </tr>\n <tr>\n <td>\n Triglycerides*\n </td>\n <td>\n </td>\n <td>\n 1.37 (1.72)\n </td>\n <td>\n 1.35 (1.68)\n </td>\n <td>\n 0.81\n </td>\n </tr>\n <tr>\n <td>\n Fibrinogen\n </td>\n <td>\n </td>\n <td>\n 3.37 (0.98)\n </td>\n <td>\n 3.53 (1.10)\n </td>\n <td>\n 0.16\n </td>\n </tr>\n <tr>\n <td>\n CRP*\n </td>\n <td>\n </td>\n <td>\n 1.39 (2.73)\n </td>\n <td>\n 1.32 (2.01)\n </td>\n <td>\n 0.76\n </td>\n </tr>\n <tr>\n <td>\n IL-6*\n </td>\n <td>\n </td>\n <td>\n 1.53 (1.97)\n </td>\n <td>\n 1.39 (2.73)\n </td>\n <td>\n 0.14\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Number (%)\n </td>\n <td>\n Number (%)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Smoking\n </td>\n <td>\n never smoked\n </td>\n <td>\n 223 (25.8)\n </td>\n <td>\n 14 (18.2)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n ex-smoker\n </td>\n <td>\n 360 (41.6)\n </td>\n <td>\n 38 (49.4)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n current smoker < 20/day\n </td>\n <td>\n 164 (18.9)\n </td>\n <td>\n 11 (14.3)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n current smoker ≥ 20/day\n </td>\n <td>\n 118 (13.6)\n </td>\n <td>\n 14 (18.2)\n </td>\n <td>\n 0.21\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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{
"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Gene name\n \n </td>\n <td>\n \n 70-mer oligonucleotide sequence\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n GAPDH\n </td>\n <td>\n ACTTTGTCAAGCTCATTTCCTGGTATGACAATGAATACGGCTACAGCAACAGGGTGGTGGACCTCATGGC\n </td>\n </tr>\n <tr>\n <td>\n Actb\n </td>\n <td>\n AATAGTCATTCCAAGTATCCATGAAATAAGTGGTTACAGGAAGTCCCTCACCCTCCCAAAAGCCACCCCC\n </td>\n </tr>\n <tr>\n <td>\n Sdf4\n </td>\n <td>\n TGTTAAAAGAAAACATGAAGAGAGCTGTGGCTCTAGCTCAGTGGTCGAACGCTGCCCAGCAAGTAAAACG\n </td>\n </tr>\n <tr>\n <td>\n Ubb\n </td>\n <td>\n CCTCCGTCTGAGGGGTGGCTATTAATTATTCGGTCTGCATTCCCAGTGGGCAGTGATGGCATTACTCTGC\n </td>\n </tr>\n <tr>\n <td>\n Ywhaz\n </td>\n <td>\n CTGTCACCGTCTCCCTTTAAAATCCTTCCTCCTCCTCTTCCTCCTCCTCCTCCTCCTCACATAATGATGG\n </td>\n </tr>\n <tr>\n <td>\n Hprt\n </td>\n <td>\n TTTTAGAAATGTCAGTTGCTGCGTCCCCAGACTTTTGATTTGCACTATGAGCCTATAGGCCAGCCTACCC\n </td>\n </tr>\n <tr>\n <td>\n Tubd1\n </td>\n <td>\n TTTGGACAGCTTTGCATTGTTGGAGCAAGTTGTTGCCAGTTATGGTAGTCTTGGACCCTAAGCCAAGAGG\n </td>\n </tr>\n <tr>\n <td>\n Tuba1\n </td>\n <td>\n GCTTCCACAGGGATGTTTATTGTGTTCCAACACAGAAAGTTGTGGTCTGATCAGTTAATTTCTATGTGGC\n </td>\n </tr>\n <tr>\n <td>\n Ppicap\n </td>\n <td>\n ATTGTATTCAAATGAAAATTTACTAGAAGGTTTCAGCCAGCACTCACTCCAGGACTGAGAGTCCCAGGGC\n </td>\n </tr>\n <tr>\n <td>\n Hspca\n </td>\n <td>\n TTAAAACAACCTGACAGGAATTCCCCAAGTGGCTTGTTTTCCAAAGTCCCGAGAACAACCCTAAGTTTCC\n </td>\n </tr>\n <tr>\n <td>\n Htf9c\n </td>\n <td>\n CAGACTCCGCACTGTGAGATGCTTATCCTGTTTGAGAGGATGCAACAACACCCCAATGGCATAGAAGCCC\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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}
} |
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{
"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n \n Recent pain\n \n </td>\n <td colspan=\"2\">\n \n Chronic pain\n \n </td>\n <td colspan=\"2\">\n \n Severely disabling chronic pain\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n n\n </td>\n <td>\n %\n </td>\n <td>\n n\n </td>\n <td>\n %\n </td>\n <td>\n n\n </td>\n <td>\n %\n </td>\n </tr>\n <tr>\n <td>\n Early responders (n = 419)\n </td>\n <td>\n 291\n </td>\n <td>\n 69.5\n </td>\n <td>\n 58\n </td>\n <td>\n 13.8\n </td>\n <td>\n 14\n </td>\n <td>\n 24.1\n </td>\n </tr>\n <tr>\n <td>\n Intermediate responders (n = 137)\n </td>\n <td>\n 85\n </td>\n <td>\n 63.4\n </td>\n <td>\n 18\n </td>\n <td>\n 13.4\n </td>\n <td>\n 1\n </td>\n <td>\n 5.6\n </td>\n </tr>\n <tr>\n <td>\n Late responders (n = 282)\n </td>\n <td>\n 178\n </td>\n <td>\n 63.1\n </td>\n <td>\n 43\n </td>\n <td>\n 15.2\n </td>\n <td>\n 10\n </td>\n <td>\n 23.3\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
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{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n \n Total\n \n </td>\n <td colspan=\"2\">\n \n Men\n \n </td>\n <td colspan=\"2\">\n \n Women\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n CHC patients (n = 136)\n \n </td>\n <td>\n \n General population(n = 2474)\n \n </td>\n <td>\n \n CHC patients (n = 72)\n \n </td>\n <td>\n \n General population(n = 1055)\n \n </td>\n <td>\n \n CHC patients (n = 64)\n \n </td>\n <td>\n \n General population(n = 1412)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n PCS\n </td>\n <td>\n 45.4\n <sup>\n a\n </sup>\n (10.6)\n </td>\n <td>\n 50.0 (10)\n </td>\n <td>\n 47.3\n <sup>\n b\n </sup>\n (10.1)\n </td>\n <td>\n 51.0 (9.4)\n </td>\n <td>\n 43.3\n <sup>\n a\n </sup>\n (10.9)\n </td>\n <td>\n 49.1 (10.4)\n </td>\n </tr>\n <tr>\n <td>\n MCS\n </td>\n <td>\n 48.2\n <sup>\n c\n </sup>\n (11.1)\n </td>\n <td>\n 50.0 (10)\n </td>\n <td>\n 50.7 (9.4)\n </td>\n <td>\n 50.7 (9.6)\n </td>\n <td>\n 45.3\n <sup>\n b\n </sup>\n (12.2)\n </td>\n <td>\n 49.3 (10.3)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
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{
"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Program\n \n </td>\n <td>\n \n Initial exons (55)\n \n </td>\n <td>\n \n Internal exons (186)\n \n </td>\n <td>\n \n Terminal exons (55)\n \n </td>\n <td>\n \n False positive (overprediction)\n \n </td>\n <td>\n \n Correct full length protein prediction\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Genscan\n \n </td>\n <td>\n 0.55\n </td>\n <td>\n 0.80\n </td>\n <td>\n 0.65\n </td>\n <td>\n 0.22\n </td>\n <td>\n 0.31\n </td>\n </tr>\n <tr>\n <td>\n \n HMMGene\n \n </td>\n <td>\n 0.75\n </td>\n <td>\n 0.81\n </td>\n <td>\n 0.78\n </td>\n <td>\n 0.15\n </td>\n <td>\n 0.38\n </td>\n </tr>\n <tr>\n <td>\n \n FIGENIX\n \n </td>\n <td>\n 0.91\n </td>\n <td>\n 0.92\n </td>\n <td>\n 0.95\n </td>\n <td>\n 0.05\n </td>\n <td>\n 0.87\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
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{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Indicators for ability to use ACASI\n \n </td>\n <td colspan=\"2\">\n \n Primary education (n = 49)\n \n </td>\n <td colspan=\"2\">\n \n Secondary education (n = 31)\n \n </td>\n <td>\n \n p\n <sup>\n a)\n </sup>\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Yes\n \n </td>\n <td>\n \n No\n \n </td>\n <td>\n \n Yes\n \n </td>\n <td>\n \n No\n \n </td>\n <td>\n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Difficult questions\n </td>\n <td>\n 4\n </td>\n <td>\n 45\n </td>\n <td>\n 5\n </td>\n <td>\n 26\n </td>\n <td>\n 0.298\n <sup>\n b)\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n Unable to answer a question\n </td>\n <td>\n 16\n </td>\n <td>\n 33\n </td>\n <td>\n 8\n </td>\n <td>\n 23\n </td>\n <td>\n 0.515\n </td>\n </tr>\n <tr>\n <td>\n Asked for help\n </td>\n <td>\n 9\n </td>\n <td>\n 7\n </td>\n <td>\n 2\n </td>\n <td>\n 6\n </td>\n <td>\n 0.303\n <sup>\n c)\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n Pressed repeat key\n </td>\n <td>\n 42\n </td>\n <td>\n 7\n </td>\n <td>\n 22\n </td>\n <td>\n 9\n </td>\n <td>\n 0.108\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
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{
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n No. Recording Sites\n \n </td>\n <td>\n \n ACC (%)\n \n </td>\n <td>\n \n SEN (%)\n \n </td>\n <td>\n \n SPE (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 3\n </td>\n <td>\n \n 79.3\n \n </td>\n <td>\n 78.6\n </td>\n <td>\n 80.0\n </td>\n </tr>\n <tr>\n <td>\n 6\n </td>\n <td>\n \n 75.9\n \n </td>\n <td>\n 71.4\n </td>\n <td>\n 80.0\n </td>\n </tr>\n <tr>\n <td>\n 9\n </td>\n <td>\n \n 86.2\n \n </td>\n <td>\n 85.7\n </td>\n <td>\n 86.7\n </td>\n </tr>\n <tr>\n <td>\n 12\n </td>\n <td>\n \n 86.2\n \n </td>\n <td>\n 85.7\n </td>\n <td>\n 86.7\n </td>\n </tr>\n <tr>\n <td>\n 24\n </td>\n <td>\n \n 82.8\n \n </td>\n <td>\n 78.6\n </td>\n <td>\n 86.7\n </td>\n </tr>\n <tr>\n <td>\n 32\n </td>\n <td>\n \n 75.9\n \n </td>\n <td>\n 71.4\n </td>\n <td>\n 80.0\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Mean\n \n </td>\n <td>\n \n SD\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Apple Juice\n </td>\n <td>\n 49.4\n </td>\n <td>\n 32.6\n </td>\n </tr>\n <tr>\n <td>\n White Grape Juice\n </td>\n <td>\n 47.5\n </td>\n <td>\n 38.9\n </td>\n </tr>\n <tr>\n <td>\n Water *\n </td>\n <td>\n 26.5\n </td>\n <td>\n 27.4\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"3\">\n \n Lipid accumulation product (LAP)\n \n cm·mmol/L\n \n \n </td>\n <td>\n </td>\n <td colspan=\"3\">\n \n Body mass index (BMI)\n \n kg/m\n \n <sup>\n 2\n </sup>\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"3\">\n \n <underline>\n P e r c e n t i l e\n </underline>\n \n </td>\n <td>\n </td>\n <td colspan=\"3\">\n \n <underline>\n P e r c e n t i l e\n </underline>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n <underline>\n Sex & age\n </underline>\n </td>\n <td>\n Survey sample (N)\n </td>\n <td>\n Geometric mean\n </td>\n <td>\n <underline>\n 25\n <sup>\n th\n </sup>\n </underline>\n </td>\n <td>\n <underline>\n 50\n <sup>\n th\n </sup>\n </underline>\n </td>\n <td>\n <underline>\n 75\n <sup>\n th\n </sup>\n </underline>\n </td>\n <td>\n Geometric mean\n </td>\n <td>\n <underline>\n 25\n <sup>\n th\n </sup>\n </underline>\n </td>\n <td>\n <underline>\n 50\n <sup>\n th\n </sup>\n </underline>\n </td>\n <td>\n <underline>\n 75th\n </underline>\n </td>\n </tr>\n <tr>\n <td>\n Men\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 18–24 years\n </td>\n <td>\n 685\n </td>\n <td>\n 16.2\n </td>\n <td>\n 9.2\n </td>\n <td>\n 15.5\n </td>\n <td>\n 27.6\n </td>\n <td>\n 23.6\n </td>\n <td>\n 21.1\n </td>\n <td>\n 23.1\n </td>\n <td>\n 25.7\n </td>\n </tr>\n <tr>\n <td>\n 25–49 years\n </td>\n <td>\n 1982\n </td>\n <td>\n 35.0\n </td>\n <td>\n 20.1\n </td>\n <td>\n 35.5\n </td>\n <td>\n 63.2\n </td>\n <td>\n 26.4\n </td>\n <td>\n 23.7\n </td>\n <td>\n 25.9\n </td>\n <td>\n 29.0\n </td>\n </tr>\n <tr>\n <td>\n 50+ years\n </td>\n <td>\n 1780\n </td>\n <td>\n 52.4\n </td>\n <td>\n 33.3\n </td>\n <td>\n 53.4\n </td>\n <td>\n 85.6\n </td>\n <td>\n 26.9\n </td>\n <td>\n 24.3\n </td>\n <td>\n 26.8\n </td>\n <td>\n 29.9\n </td>\n </tr>\n <tr>\n <td>\n Women\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 18–24 years\n </td>\n <td>\n 715\n </td>\n <td>\n 16.6\n </td>\n <td>\n 9.4\n </td>\n <td>\n 16.0\n </td>\n <td>\n 27.6\n </td>\n <td>\n 23.1\n </td>\n <td>\n 20.0\n </td>\n <td>\n 22.4\n </td>\n <td>\n 25.6\n </td>\n </tr>\n <tr>\n <td>\n 25–49 years\n </td>\n <td>\n 2216\n </td>\n <td>\n 25.7\n </td>\n <td>\n 13.6\n </td>\n <td>\n 24.6\n </td>\n <td>\n 47.7\n </td>\n <td>\n 25.4\n </td>\n <td>\n 21.5\n </td>\n <td>\n 24.6\n </td>\n <td>\n 29.5\n </td>\n </tr>\n <tr>\n <td>\n 50+ years\n </td>\n <td>\n 1802\n </td>\n <td>\n 50.2\n </td>\n <td>\n 29.6\n </td>\n <td>\n 51.7\n </td>\n <td>\n 84.5\n </td>\n <td>\n 26.9\n </td>\n <td>\n 23.1\n </td>\n <td>\n 26.4\n </td>\n <td>\n 30.7\n </td>\n </tr>\n <tr>\n <td>\n All\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 18–24 years\n </td>\n <td>\n 1400\n </td>\n <td>\n 16.4\n </td>\n <td>\n 9.2\n </td>\n <td>\n 15.7\n </td>\n <td>\n 27.6\n </td>\n <td>\n 23.4\n </td>\n <td>\n 20.6\n </td>\n <td>\n 22.8\n </td>\n <td>\n 25.6\n </td>\n </tr>\n <tr>\n <td>\n 25–49 years\n </td>\n <td>\n 4198\n </td>\n <td>\n 30.1\n </td>\n <td>\n 16.4\n </td>\n <td>\n 29.7\n </td>\n <td>\n 57.3\n </td>\n <td>\n 25.9\n </td>\n <td>\n 22.5\n </td>\n <td>\n 25.3\n </td>\n <td>\n 29.1\n </td>\n </tr>\n <tr>\n <td>\n 50+ years\n </td>\n <td>\n 3582\n </td>\n <td>\n 51.2\n </td>\n <td>\n 31.1\n </td>\n <td>\n 52.6\n </td>\n <td>\n 85.3\n </td>\n <td>\n 26.9\n </td>\n <td>\n 23.8\n </td>\n <td>\n 26.6\n </td>\n <td>\n 30.3\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Patient\n \n </td>\n <td>\n \n Status\n \n </td>\n <td>\n \n RT (*)\n \n </td>\n <td>\n \n Weeks Amenhorrhea\n \n </td>\n <td>\n \n Year mother\n \n </td>\n <td>\n \n HTA (**)\n \n </td>\n <td>\n \n Proteinuria g/24 h\n \n </td>\n <td>\n \n Uterine Doppler (****)\n \n </td>\n <td>\n \n Oligoamnios\n \n </td>\n <td>\n \n Apgar 1\n \n </td>\n <td>\n \n Apgar 5\n \n </td>\n <td>\n \n SEX\n \n </td>\n <td>\n \n Birthweight in g (Percentile)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 3008\n </td>\n <td>\n Term (control)\n </td>\n <td>\n 784\n </td>\n <td>\n 38+4\n </td>\n <td>\n 32\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n M\n </td>\n <td>\n 3050\n </td>\n </tr>\n <tr>\n <td>\n 7497\n </td>\n <td>\n Term (control)\n </td>\n <td>\n 816\n </td>\n <td>\n 38+0\n </td>\n <td>\n 34\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n M\n </td>\n <td>\n 3270\n </td>\n </tr>\n <tr>\n <td>\n 497\n </td>\n <td>\n Term (control)\n </td>\n <td>\n 817\n </td>\n <td>\n 40+5\n </td>\n <td>\n 35\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n M\n </td>\n <td>\n 3040\n </td>\n </tr>\n <tr>\n <td>\n 3007\n </td>\n <td>\n Term (control)\n </td>\n <td>\n 818\n </td>\n <td>\n 38+4\n </td>\n <td>\n 43\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n M\n </td>\n <td>\n 3430\n </td>\n </tr>\n <tr>\n <td>\n 3011\n </td>\n <td>\n Term (control)\n </td>\n <td>\n 819\n </td>\n <td>\n 38+0\n </td>\n <td>\n 37\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n M\n </td>\n <td>\n 3710\n </td>\n </tr>\n <tr>\n <td>\n 3013\n </td>\n <td>\n Term (control)\n </td>\n <td>\n 820\n </td>\n <td>\n 39+4\n </td>\n <td>\n 42\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n F\n </td>\n <td>\n 2740\n </td>\n </tr>\n <tr>\n <td>\n 3017\n </td>\n <td>\n Term (control)\n </td>\n <td>\n 821\n </td>\n <td>\n 38+5\n </td>\n <td>\n 41\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n F\n </td>\n <td>\n 3110\n </td>\n </tr>\n <tr>\n <td>\n 3004\n </td>\n <td>\n PE\n </td>\n <td>\n 765\n </td>\n <td>\n 28+5\n </td>\n <td>\n 34\n </td>\n <td>\n 205/120\n </td>\n <td>\n 10,69\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n 2\n </td>\n <td>\n 8\n </td>\n <td>\n M\n </td>\n <td>\n 830\n </td>\n </tr>\n <tr>\n <td>\n 3005\n </td>\n <td>\n PE\n </td>\n <td>\n 766\n </td>\n <td>\n 37+4\n </td>\n <td>\n 45\n </td>\n <td>\n 140/90\n </td>\n <td>\n 0,17\n </td>\n <td>\n Unilateral\n </td>\n <td>\n normal\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n F\n </td>\n <td>\n 2930\n </td>\n </tr>\n <tr>\n <td>\n 225\n </td>\n <td>\n PE\n </td>\n <td>\n 807\n </td>\n <td>\n 27+0\n </td>\n <td>\n 24\n </td>\n <td>\n 145/90\n </td>\n <td>\n 2,7\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n 9\n </td>\n <td>\n 10\n </td>\n <td>\n M\n </td>\n <td>\n 1080\n </td>\n </tr>\n <tr>\n <td>\n 242\n </td>\n <td>\n PE\n </td>\n <td>\n 867\n </td>\n <td>\n 33+1\n </td>\n <td>\n 26\n </td>\n <td>\n 150/95\n </td>\n <td>\n 5,36\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n 8\n </td>\n <td>\n 10\n </td>\n <td>\n M\n </td>\n <td>\n 1960\n </td>\n </tr>\n <tr>\n <td>\n 3010\n </td>\n <td>\n PE\n </td>\n <td>\n 808\n </td>\n <td>\n 32+5\n </td>\n <td>\n 36\n </td>\n <td>\n 160/110\n </td>\n <td>\n 14,36\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n M\n </td>\n <td>\n 1196\n </td>\n </tr>\n <tr>\n <td>\n 50\n </td>\n <td>\n PE\n </td>\n <td>\n 885\n </td>\n <td>\n 30+0\n </td>\n <td>\n 22\n </td>\n <td>\n 175/105\n </td>\n <td>\n 8,68\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n 8\n </td>\n <td>\n 10\n </td>\n <td>\n M\n </td>\n <td>\n 1390\n </td>\n </tr>\n <tr>\n <td>\n 4003\n </td>\n <td>\n PE+IUGR\n </td>\n <td>\n 915\n </td>\n <td>\n 34+1\n </td>\n <td>\n 36\n </td>\n <td>\n 180/120\n </td>\n <td>\n 2,1\n </td>\n <td>\n normal\n </td>\n <td>\n amniotic fluid in excess\n </td>\n <td>\n 0\n </td>\n <td>\n 7\n </td>\n <td>\n F\n </td>\n <td>\n 1670 (< 5)\n </td>\n </tr>\n <tr>\n <td>\n 3012\n </td>\n <td>\n PE+IUGR\n </td>\n <td>\n 770\n </td>\n <td>\n 34+1\n </td>\n <td>\n 37\n </td>\n <td>\n 140/90\n </td>\n <td>\n 6,98\n </td>\n <td>\n normal\n </td>\n <td>\n unknown\n </td>\n <td>\n 9\n </td>\n <td>\n 10\n </td>\n <td>\n F\n </td>\n <td>\n 1800 (between 5 and 10)\n </td>\n </tr>\n <tr>\n <td>\n 3016\n </td>\n <td>\n PE+IUGR\n </td>\n <td>\n 772\n </td>\n <td>\n 28+0\n </td>\n <td>\n 37\n </td>\n <td>\n 160/100\n </td>\n <td>\n nc\n </td>\n <td>\n bilateral\n </td>\n <td>\n Abnormal\n </td>\n <td>\n 7\n </td>\n <td>\n 10\n </td>\n <td>\n M\n </td>\n <td>\n 780 (< 5)\n </td>\n </tr>\n <tr>\n <td>\n 3003\n </td>\n <td>\n vascular IUGR\n </td>\n <td>\n 773\n </td>\n <td>\n 37+3\n </td>\n <td>\n 26\n </td>\n <td>\n 160/90\n </td>\n <td>\n normal\n </td>\n <td>\n bilateral\n </td>\n <td>\n unknown\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n M\n </td>\n <td>\n 1890 (between 5 and 10)\n </td>\n </tr>\n <tr>\n <td>\n 3021\n </td>\n <td>\n vascular IUGR\n </td>\n <td>\n 810\n </td>\n <td>\n 31+3\n </td>\n <td>\n 35\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n bilateral\n </td>\n <td>\n Abnormal\n </td>\n <td>\n 7\n </td>\n <td>\n 10\n </td>\n <td>\n M\n </td>\n <td>\n 1380 (> 10 but ***)\n </td>\n </tr>\n <tr>\n <td>\n 3022\n </td>\n <td>\n vascular IUGR\n </td>\n <td>\n 814\n </td>\n <td>\n 37+0\n </td>\n <td>\n 33\n </td>\n <td>\n normal\n </td>\n <td>\n normal\n </td>\n <td>\n unknown\n </td>\n <td>\n Abnormal\n </td>\n <td>\n 3\n </td>\n <td>\n 9\n </td>\n <td>\n M\n </td>\n <td>\n 2330 (between 5 and 10)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Gene\n \n </td>\n <td>\n \n NR Identifiers\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n ILV1\n </td>\n <td>\n 005760000068\n </td>\n </tr>\n <tr>\n <td>\n CHA1\n </td>\n <td>\n 003600000165\n </td>\n </tr>\n <tr>\n <td>\n YKL218C\n </td>\n <td>\n 003260000219\n </td>\n </tr>\n <tr>\n <td>\n ILV2\n </td>\n <td>\n 003090000098\n </td>\n </tr>\n <tr>\n <td>\n ILV6\n </td>\n <td>\n 006870000019\n </td>\n </tr>\n <tr>\n <td>\n ILV5\n </td>\n <td>\n 003950000069\n </td>\n </tr>\n <tr>\n <td>\n ILV3\n </td>\n <td>\n 005850000040\n </td>\n </tr>\n <tr>\n <td>\n BAT1\n </td>\n <td>\n 003930000034\n </td>\n </tr>\n <tr>\n <td>\n BAT2\n </td>\n <td>\n 003760000122\n </td>\n </tr>\n <tr>\n <td>\n FOL2\n </td>\n <td>\n 002430000075\n </td>\n </tr>\n <tr>\n <td>\n FOL1\n </td>\n <td>\n 008640000008\n </td>\n </tr>\n <tr>\n <td>\n FOL3\n </td>\n <td>\n 004270000071\n </td>\n </tr>\n <tr>\n <td>\n DFR1\n </td>\n <td>\n 002110001504\n </td>\n </tr>\n <tr>\n <td>\n MIS1\n </td>\n <td>\n 009750000001\n </td>\n </tr>\n <tr>\n <td>\n ADE3\n </td>\n <td>\n 009460000003\n </td>\n </tr>\n <tr>\n <td>\n SHM1\n </td>\n <td>\n 005650000392\n </td>\n </tr>\n <tr>\n <td>\n SHM2\n </td>\n <td>\n 004690000046\n </td>\n </tr>\n <tr>\n <td>\n YKL132C\n </td>\n <td>\n 004300000053\n </td>\n </tr>\n <tr>\n <td>\n MET7\n </td>\n <td>\n 005480000035\n </td>\n </tr>\n <tr>\n <td>\n AAT1\n </td>\n <td>\n 004510000006 004510000730\n </td>\n </tr>\n <tr>\n <td>\n AAT2\n </td>\n <td>\n 004320000601 004170000010\n </td>\n </tr>\n <tr>\n <td>\n ASN2\n </td>\n <td>\n 005720000349 005710000020\n </td>\n </tr>\n <tr>\n <td>\n ASN1\n </td>\n <td>\n 005720000348 005710000019\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n County\n \n </td>\n <td>\n \n Average cases per year\n \n </td>\n <td>\n \n DOF-based incidence rate (95% CI)\n <sup>\n a\n </sup>\n \n </td>\n <td>\n \n Census-based incidence rate (95% CI)\n <sup>\n a\n </sup>\n \n </td>\n <td>\n \n Standardized rate ratio\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Alameda\n </td>\n <td>\n 575\n </td>\n <td>\n 143.3 (136.6–150.4)\n </td>\n <td>\n 151.8 (144.6–159.2)\n </td>\n <td>\n 0.94\n </td>\n </tr>\n <tr>\n <td>\n Contra Costa\n </td>\n <td>\n 592\n </td>\n <td>\n 158.0 (150.7–165.7)\n </td>\n <td>\n 164.9 (157.2–172.9)\n </td>\n <td>\n 0.96\n </td>\n </tr>\n <tr>\n <td>\n Marin\n </td>\n <td>\n 245\n </td>\n <td>\n 213.6 (198.4–229.9)\n </td>\n <td>\n 175.8 (163.2–189.5)\n </td>\n <td>\n 1.22\n <sup>\n b\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n San Francisco\n </td>\n <td>\n 296\n </td>\n <td>\n 140.3 (131.0–150.7)\n </td>\n <td>\n 159.8 (149.2–171.0)\n </td>\n <td>\n 0.88\n </td>\n </tr>\n <tr>\n <td>\n San Mateo\n </td>\n <td>\n 406\n </td>\n <td>\n 152.3 (143.7–161.4)\n </td>\n <td>\n 163.4 (154.2–173.2)\n </td>\n <td>\n 0.93\n </td>\n </tr>\n <tr>\n <td>\n Monterey\n </td>\n <td>\n 172\n </td>\n <td>\n 152.7 (139.7–166.9)\n </td>\n <td>\n 150.7 (137.7–164.8)\n </td>\n <td>\n 1.01\n </td>\n </tr>\n <tr>\n <td>\n San Benito\n </td>\n <td>\n 19\n </td>\n <td>\n 114.0 (85.9–149.0)\n </td>\n <td>\n 138.7 (104.6–182.0)\n </td>\n <td>\n 0.82\n </td>\n </tr>\n <tr>\n <td>\n Santa Clara\n </td>\n <td>\n 743\n </td>\n <td>\n 143.4 (137.5–149.5)\n </td>\n <td>\n 158.6 (152.0–165.4)\n </td>\n <td>\n 0.90\n </td>\n </tr>\n <tr>\n <td>\n Santa Cruz\n </td>\n <td>\n 161\n </td>\n <td>\n 148.2 (135.1–162.4)\n </td>\n <td>\n 157.8 (143.8–173.0)\n </td>\n <td>\n 0.94\n <sup>\n b\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n Los Angeles\n </td>\n <td>\n 3587\n </td>\n <td>\n 153.8 (150.7–156.9)\n </td>\n <td>\n 161.0 (157.8–164.3)\n </td>\n <td>\n 0.96\n <sup>\n b\n </sup>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Misconceptions to persons with HIV/AIDS (Alpha 0.603 for the below 6 items)\n \n </td>\n <td>\n \n Agree n(%)\n \n </td>\n <td>\n \n Disagree n(%)\n \n </td>\n <td>\n \n Neither agree nor disagree n(%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 1 If you are passionately in love with someone, you become immune to AIDS\n </td>\n <td>\n 73(7.3)\n </td>\n <td>\n 930(88.7)\n </td>\n <td>\n 45(4.3)\n </td>\n </tr>\n <tr>\n <td>\n 2 AIDS is a punishment from God\n </td>\n <td>\n 243(23.2)\n </td>\n <td>\n 707(67.5)\n </td>\n <td>\n 98(9.4)\n </td>\n </tr>\n <tr>\n <td>\n 3 AIDS does not influence the Turkish\n </td>\n <td>\n 46(4.4)\n </td>\n <td>\n 982(93.7)\n </td>\n <td>\n 20(1.9)\n </td>\n </tr>\n <tr>\n <td>\n 4 I will not be infected with AIDS come what may\n </td>\n <td>\n 100(9.5)\n </td>\n <td>\n 884(84.4)\n </td>\n <td>\n 64(6.1)\n </td>\n </tr>\n <tr>\n <td>\n 5 Married couples do not contract AIDS even if they have sex with others\n </td>\n <td>\n 43(4.1)\n </td>\n <td>\n 957(91.3)\n </td>\n <td>\n 48(4.6)\n </td>\n </tr>\n <tr>\n <td>\n 6 You cannot be infected with HIV/AIDS if you are engaged in sport and are well nourished\n </td>\n <td>\n 254(24.2)\n </td>\n <td>\n 620(59.2)\n </td>\n <td>\n 174(16.6)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n No. of SARS cases in a building\n \n </td>\n <td>\n \n No. of buildings\n \n </td>\n <td>\n \n Total no. of SARS cases\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 136\n </td>\n <td>\n 1\n </td>\n <td>\n 136\n </td>\n </tr>\n <tr>\n <td>\n 47\n </td>\n <td>\n 1\n </td>\n <td>\n 47\n </td>\n </tr>\n <tr>\n <td>\n 46\n </td>\n <td>\n 1\n </td>\n <td>\n 46\n </td>\n </tr>\n <tr>\n <td>\n 43\n </td>\n <td>\n 1\n </td>\n <td>\n 43\n </td>\n </tr>\n <tr>\n <td>\n 20\n </td>\n <td>\n 1\n </td>\n <td>\n 20\n </td>\n </tr>\n <tr>\n <td>\n 18\n </td>\n <td>\n 1\n </td>\n <td>\n 18\n </td>\n </tr>\n <tr>\n <td>\n 11\n </td>\n <td>\n 1\n </td>\n <td>\n 11\n </td>\n </tr>\n <tr>\n <td>\n 10\n </td>\n <td>\n 3\n </td>\n <td>\n 30\n </td>\n </tr>\n <tr>\n <td>\n 9\n </td>\n <td>\n 1\n </td>\n <td>\n 9\n </td>\n </tr>\n <tr>\n <td>\n 8\n </td>\n <td>\n 3\n </td>\n <td>\n 24\n </td>\n </tr>\n <tr>\n <td>\n 7\n </td>\n <td>\n 2\n </td>\n <td>\n 14\n </td>\n </tr>\n <tr>\n <td>\n 6\n </td>\n <td>\n 6\n </td>\n <td>\n 36\n </td>\n </tr>\n <tr>\n <td>\n 5\n </td>\n <td>\n 3\n </td>\n <td>\n 15\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n 12\n </td>\n <td>\n 48\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 47\n </td>\n <td>\n 141\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 156\n </td>\n <td>\n 312\n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n 759\n </td>\n <td>\n 759\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Total 1,709\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Covariate\n \n </td>\n <td>\n \n No.\n \n </td>\n <td>\n \n OR\n <sup>\n (a)\n </sup>\n \n </td>\n <td>\n \n 95% C.I.\n \n </td>\n <td>\n \n P\n <sup>\n (b)\n </sup>\n \n </td>\n <td>\n \n P trend\n <sup>\n (c)\n </sup>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Age\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ≤ 44\n </td>\n <td>\n 106\n </td>\n <td>\n 1 (ref.)\n </td>\n <td>\n </td>\n <td>\n 0.21\n </td>\n <td>\n 0.13\n </td>\n </tr>\n <tr>\n <td>\n 45 – 52\n </td>\n <td>\n 113\n </td>\n <td>\n 1.88\n </td>\n <td>\n 0.80 – 4.41\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 53 – 59\n </td>\n <td>\n 103\n </td>\n <td>\n 1.20\n </td>\n <td>\n 0.45 – 3.18\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ≥ 60\n </td>\n <td>\n 110\n </td>\n <td>\n 2.29\n </td>\n <td>\n 0.89 – 5.89\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n No. of lifetime partners\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n 283\n </td>\n <td>\n 1 (ref.)\n </td>\n <td>\n </td>\n <td>\n 0.29\n </td>\n <td>\n 0.11\n </td>\n </tr>\n <tr>\n <td>\n 1 – 5\n </td>\n <td>\n 71\n </td>\n <td>\n 1.30\n </td>\n <td>\n 0.61 – 2.78\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n > 5\n </td>\n <td>\n 78\n </td>\n <td>\n 1.82\n </td>\n <td>\n 0.86 – 3.85\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Use of Oral Contraceptives.\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n No\n </td>\n <td>\n 284\n </td>\n <td>\n 1 (ref.)\n </td>\n <td>\n </td>\n <td>\n 0.64\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Yes\n </td>\n <td>\n 148\n </td>\n <td>\n 1.16\n </td>\n <td>\n 0.61 – 2.21\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Education\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Primary\n </td>\n <td>\n 93\n </td>\n <td>\n 1 (ref.)\n </td>\n <td>\n </td>\n <td>\n 0.44\n </td>\n <td>\n 0.03\n </td>\n </tr>\n <tr>\n <td>\n Secondary\n </td>\n <td>\n 153\n </td>\n <td>\n 1.39\n </td>\n <td>\n 0.61 – 3.16\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Higher\n </td>\n <td>\n 186\n </td>\n <td>\n 1.72\n </td>\n <td>\n 0.73 – 4.03\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Smoking\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n No\n </td>\n <td>\n 290\n </td>\n <td>\n 1 (ref.)\n </td>\n <td>\n </td>\n <td>\n 0.92\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Yes\n </td>\n <td>\n 142\n </td>\n <td>\n 0.97\n </td>\n <td>\n 0.54 – 1.74\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Age 1° intercourse\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n ≤ 18\n \n </td>\n <td>\n 94\n </td>\n <td>\n 1 (ref.)\n </td>\n <td>\n </td>\n <td>\n 0.74\n </td>\n <td>\n 0.63\n </td>\n </tr>\n <tr>\n <td>\n \n 19 – 21\n \n </td>\n <td>\n 124\n </td>\n <td>\n 1.04\n </td>\n <td>\n 0.48 – 2.24\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n 22 – 24\n \n </td>\n <td>\n 100\n </td>\n <td>\n 0.70\n </td>\n <td>\n 0.28 – 1.70\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n > 24\n \n </td>\n <td>\n 114\n </td>\n <td>\n 0.77\n </td>\n <td>\n 0.32 – 1.86\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Marital status\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Single\n </td>\n <td>\n 101\n </td>\n <td>\n 1 (ref.)\n </td>\n <td>\n </td>\n <td>\n 0.31\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Married\n </td>\n <td>\n 331\n </td>\n <td>\n 0.71\n </td>\n <td>\n 0.37 – 1.36\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Characteristics\n \n </td>\n <td>\n \n Wohlman [11]\n \n </td>\n <td>\n \n Antonovych [13]\n \n </td>\n <td>\n \n Kramer [12]\n \n </td>\n <td>\n \n Goodman [14]\n \n </td>\n <td>\n \n Saleem [15]\n \n </td>\n <td>\n \n Edmondson [16]\n \n </td>\n <td>\n \n Mochizuki [17]\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age (s)\n </td>\n <td>\n 32\n </td>\n <td>\n 39, 26\n </td>\n <td>\n 37\n </td>\n <td>\n 37\n </td>\n <td>\n 25\n </td>\n <td>\n 40\n </td>\n <td>\n 52\n </td>\n </tr>\n <tr>\n <td>\n Sex\n </td>\n <td>\n Male\n </td>\n <td>\n Males\n </td>\n <td>\n Male\n </td>\n <td>\n Male\n </td>\n <td>\n Male\n </td>\n <td>\n Male\n </td>\n <td>\n Female\n </td>\n </tr>\n <tr>\n <td>\n Route\n </td>\n <td>\n IV\n </td>\n <td>\n NR\n </td>\n <td>\n NR\n </td>\n <td>\n IN\n </td>\n <td>\n IN\n </td>\n <td>\n NR\n </td>\n <td>\n IN\n </td>\n </tr>\n <tr>\n <td>\n Time of Onset\n </td>\n <td>\n 2 hours\n </td>\n <td>\n NR\n </td>\n <td>\n 2–3 hours\n </td>\n <td>\n 2 hours\n </td>\n <td>\n 4 days\n </td>\n <td>\n 1 day\n </td>\n <td>\n NR\n </td>\n </tr>\n <tr>\n <td>\n Kidney Affected\n </td>\n <td>\n Right\n </td>\n <td>\n NR\n </td>\n <td>\n Right\n </td>\n <td>\n Right\n </td>\n <td>\n Right\n </td>\n <td>\n Right\n </td>\n <td>\n Left\n </td>\n </tr>\n <tr>\n <td>\n WBC (× 10\n <sup>\n 3\n </sup>\n /μl)\n </td>\n <td>\n 14\n </td>\n <td>\n NR\n </td>\n <td>\n 23 (8% bands)\n </td>\n <td>\n 16 (90% PMN)\n </td>\n <td>\n 12.3 (76% PMN)\n </td>\n <td>\n NR\n </td>\n <td>\n 19.3\n </td>\n </tr>\n <tr>\n <td>\n Serum LDH (U/L)\n </td>\n <td>\n 368 to 1860\n </td>\n <td>\n NR\n </td>\n <td>\n 2103\n </td>\n <td>\n NR\n </td>\n <td>\n 351\n </td>\n <td>\n NR\n </td>\n <td>\n 2100\n </td>\n </tr>\n <tr>\n <td>\n Serum Cr (mg/dL)\n </td>\n <td>\n 1.2\n </td>\n <td>\n NR\n </td>\n <td>\n 1.7\n </td>\n <td>\n 0.9\n </td>\n <td>\n NR\n </td>\n <td>\n 1.3\n </td>\n <td>\n 0.9\n </td>\n </tr>\n <tr>\n <td>\n Urinanalysis\n </td>\n <td>\n 5–10 RBC\n </td>\n <td>\n NR\n </td>\n <td>\n trace protein3+ ketones2+ blood3–4 WBC/hpf1–2 RBC/hpf\n </td>\n <td>\n 30 protein80 ketones1–5 WBC/hpf5–10 RBC/hpf\n </td>\n <td>\n 2+ blood2 WBC/hpf5–10 RBC/hpf\n </td>\n <td>\n 0 RBC/hpf\n </td>\n <td>\n trace proteinlarge blood3 WBC/hpf1 RBC/hpf\n </td>\n </tr>\n <tr>\n <td>\n Treatment\n </td>\n <td>\n heparin & coumadin\n </td>\n <td>\n nephrectomy\n </td>\n <td>\n urokinase, heparin & coumadin\n </td>\n <td>\n none\n </td>\n <td>\n aspirin\n </td>\n <td>\n heparin & coumadin\n </td>\n <td>\n heparin, antibiotics & coumadin\n </td>\n </tr>\n <tr>\n <td>\n Co-existing Conditions\n </td>\n <td>\n NR\n </td>\n <td>\n NR\n </td>\n <td>\n DM, Protein C deficiency\n </td>\n <td>\n NR\n </td>\n <td>\n NR\n </td>\n <td>\n Renal artery dissection\n </td>\n <td>\n Aortic thrombosis\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Blood lead variable\n \n </td>\n <td>\n \n Unadjusted estimates [β(95% CI)]\n \n </td>\n <td>\n \n Adjusted estimates [β(95% CI)]\n \n </td>\n <td>\n \n Blood lead concentration (5th to 95th percentile, μg/dL)\n \n </td>\n <td>\n \n IQ deficits [5th to 95th percentile (95% CI)]\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Early childhood\n </td>\n <td>\n −3.57 (−4.86 to −2.28)\n </td>\n <td>\n −2.04 (−3.27 to −0.81)\n </td>\n <td>\n 4.1–34.8\n </td>\n <td>\n 4.4 (1.7–7.0)\n </td>\n </tr>\n <tr>\n <td>\n Peak\n </td>\n <td>\n −4.85 (−5.16 to −3.54)\n </td>\n <td>\n −2.85 (−4.10 to −1.60)\n </td>\n <td>\n 4.0–34.5\n </td>\n <td>\n 6.1 (3.4–8.8)\n </td>\n </tr>\n <tr>\n <td>\n Lifetime average\n </td>\n <td>\n −5.36 (−6.69 to −4.03)\n </td>\n <td>\n −3.04 (−4.33 to −1.75)\n </td>\n <td>\n 6.1–47.0\n </td>\n <td>\n 6.2 (3.6–8.8)\n </td>\n </tr>\n <tr>\n <td>\n Concurrent\n </td>\n <td>\n −4.66 (−5.72 to −3.60)\n </td>\n <td>\n −2.70 (−3.74 to −1.66)\n </td>\n <td>\n 2.4–33.1\n </td>\n <td>\n 7.1 (4.4–9.8)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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</td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Coagulation\n </td>\n <td>\n Von Willebrand factor, tissue factor\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Fibroblasts\n </td>\n <td>\n Inflammation\n </td>\n <td>\n Oxidative stress, cytokine profile, gene expression profile\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Fibrosis\n </td>\n <td>\n Collagen synthesis, cell proliferation\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Lung slices\n </td>\n <td>\n Inflammation\n </td>\n <td>\n Oxidative stress, signal transduction pathway, immuno-histopathology\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Translocation\n </td>\n <td>\n Particles across membranes\n </td>\n <td>\n Translocation process\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Fibrosis\n </td>\n <td>\n Collagen synthesis\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Skin\n </td>\n <td>\n Cell systems (e.g. HEK)\n </td>\n <td>\n Cytotoxicity Inflammation\n </td>\n <td>\n Cell viability – MTT, neutral red, Cytokine profile\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Flow-through diffusion systems\n </td>\n <td>\n Absorption\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Isolated Skin Flap Model\n </td>\n <td>\n Absorption, Cytotoxicity, Inflammation\n </td>\n <td>\n Glucose utilization, any other markers depending on end points (cytokine profiles, histopath, etc.)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Mucosa\n </td>\n <td>\n Intestinal epithelium (GI tract)\n </td>\n <td>\n Cytotoxicity\n </td>\n <td>\n Cell viability – MTT, neutral red, trypan blue Apoptosis\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Inflammation\n </td>\n <td>\n Cytokine profile, oxidative stress, signal transduction pathway\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Translocation\n 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MTT, neutral red, trypan blue Apoptosis\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Inflammation\n </td>\n <td>\n Cytokine profile, oxidative stress, signal transduction pathway\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Translocation\n </td>\n <td>\n Permeability assays\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td colspan=\"3\">\n \n Network Parameters\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Network\n </td>\n <td>\n \n k\n \n </td>\n <td>\n C\n </td>\n </tr>\n <tr>\n <td>\n Synthetic Network 1\n </td>\n <td>\n 40\n </td>\n <td>\n 0.0918\n </td>\n </tr>\n <tr>\n <td>\n Synthetic Network 2\n </td>\n <td>\n 28\n </td>\n <td>\n 0.1034\n </td>\n </tr>\n <tr>\n <td>\n Synthetic Network 3\n </td>\n <td>\n 40\n </td>\n <td>\n 0.0804\n </td>\n </tr>\n <tr>\n <td>\n Biological Process\n </td>\n <td>\n 39\n </td>\n <td>\n 0.8636\n </td>\n </tr>\n <tr>\n <td>\n Cellular Component\n </td>\n <td>\n 44\n </td>\n <td>\n 0.9461\n </td>\n </tr>\n <tr>\n <td>\n Molecular Function\n </td>\n <td>\n 47\n </td>\n <td>\n 0.9444\n </td>\n </tr>\n <tr>\n <td>\n Correlation Coefficient\n </td>\n <td>\n 155\n </td>\n <td>\n 0.5326\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Oligonucleotide\n \n </td>\n <td>\n \n Length (bp)\n \n </td>\n <td>\n \n Sequence (5'-3')\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Sense outer 16 rRNA\n </td>\n <td>\n 18\n </td>\n <td>\n ACG GAA TAA TGA CTT CGG\n </td>\n </tr>\n <tr>\n <td>\n Anti-sense outer 16S rRNA\n </td>\n <td>\n 18\n </td>\n <td>\n TAC CTG GTA CGC TCA ATT\n </td>\n </tr>\n <tr>\n <td>\n Sense inner 16S rRNA\n </td>\n <td>\n 21\n </td>\n <td>\n ATA ATG ACT TCG GTT GTT ATT\n </td>\n </tr>\n <tr>\n <td>\n Anti-sense inner 16S rRNA\n </td>\n <td>\n 20\n </td>\n <td>\n TGT TTT AGA TGC CTA AAC AT\n </td>\n </tr>\n <tr>\n <td>\n ML-BbrpI-F01\n </td>\n <td>\n 29\n </td>\n <td>\n GC\n \n C ACG TG\n \n C GTC TGC AAC ACT CAA ATA TC\n </td>\n </tr>\n <tr>\n <td>\n ML-BbrpI-R01\n </td>\n <td>\n 28\n </td>\n <td>\n GG\n \n C ACG TG\n \n C AGT TGT AAG AAG TCA GAG T\n </td>\n </tr>\n <tr>\n <td>\n Sense outer o\n \n mpA\n \n </td>\n <td>\n 21\n </td>\n <td>\n CCT GTA GGG AAC CCA GCT GAA\n </td>\n </tr>\n <tr>\n <td>\n Anti-sense outer o\n \n mpA\n \n </td>\n <td>\n 22\n </td>\n <td>\n GGT TGA GCA ATG CGG ATA GTA T\n </td>\n </tr>\n <tr>\n <td>\n Fluorescein-sense inner o\n \n mpA\n \n </td>\n <td>\n 17\n </td>\n <td>\n GCA GGA TAC TAC GGA GA\n </td>\n </tr>\n <tr>\n <td>\n Biotin-antisense inner\n \n ompA\n \n </td>\n <td>\n 18\n </td>\n <td>\n GGA ACT CAG CTC CTA AAG\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td colspan=\"4\">\n \n Early\n \n </td>\n <td colspan=\"4\">\n \n Middle\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Molecular Function\n \n </td>\n <td>\n \n Num\n \n </td>\n <td>\n \n %\n \n </td>\n <td>\n \n p Value\n \n </td>\n <td>\n \n Molecular Function\n \n </td>\n <td>\n \n Num\n \n </td>\n <td>\n \n %\n \n </td>\n <td>\n \n p Value\n \n </td>\n </tr>\n <tr>\n <td>\n CYTOKINE ACTIVITY\n </td>\n <td>\n 6\n </td>\n <td>\n 31.6\n </td>\n <td>\n 1.44E-06\n </td>\n <td>\n PROTEIN BINDING\n </td>\n <td>\n 5.000\n </td>\n <td>\n 29.400\n </td>\n <td>\n 0.048\n </td>\n </tr>\n <tr>\n <td>\n RECEPTOR BINDING\n </td>\n <td>\n 7\n </td>\n <td>\n 36.8\n </td>\n <td>\n 8.1E-06\n </td>\n <td>\n SUGAR BINDING\n </td>\n <td>\n 2.000\n </td>\n <td>\n 11.800\n </td>\n <td>\n 0.092\n </td>\n </tr>\n <tr>\n <td>\n CHEMOKINE ACTIVITY\n </td>\n <td>\n 4\n </td>\n <td>\n 21.1\n </td>\n <td>\n 1.37E-05\n </td>\n <td>\n CARBOHYDRATE BINDING\n </td>\n <td>\n 2.000\n </td>\n <td>\n 11.800\n </td>\n <td>\n 0.096\n </td>\n </tr>\n <tr>\n <td>\n CHEMOKINE RECEPTOR BINDING\n </td>\n <td>\n 4\n </td>\n <td>\n 21.1\n </td>\n <td>\n 1.37E-05\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n G-PROTEIN-COUPLED RECEPTOR BINDING\n </td>\n <td>\n 4\n </td>\n <td>\n 21.1\n </td>\n <td>\n 1.52E-05\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n \n Late\n \n </td>\n <td colspan=\"4\">\n \n Paradoxical\n \n </td>\n </tr>\n <tr>\n <td>\n \n Molecular Function\n \n </td>\n <td>\n \n Num\n \n </td>\n <td>\n \n %\n \n </td>\n <td>\n \n p Value\n \n </td>\n <td>\n \n Molecular Function\n \n </td>\n <td>\n \n Num\n \n </td>\n <td>\n \n %\n \n </td>\n <td>\n \n p Value\n \n </td>\n </tr>\n <tr>\n <td>\n PEPTIDE TRANSPORTER ACTIVITY\n </td>\n <td>\n 2\n </td>\n <td>\n 12.5\n </td>\n <td>\n 0.005\n </td>\n <td>\n CTD PHOSPHATASE ACTIVITY\n </td>\n <td>\n 2.000\n </td>\n <td>\n 12.500\n </td>\n <td>\n 0.044\n </td>\n </tr>\n <tr>\n <td>\n PRIMARY ACTIVE TRANSPORTER ACTIVITY\n </td>\n <td>\n 3\n </td>\n <td>\n 18.8\n </td>\n <td>\n 0.059\n </td>\n <td>\n Mg-DEPENDENT Ser/Thre PHOSPHATASE\n </td>\n <td>\n 2.000\n </td>\n <td>\n 12.500\n </td>\n <td>\n 0.044\n </td>\n </tr>\n <tr>\n <td>\n PROTEIN BINDING\n </td>\n <td>\n 5\n </td>\n <td>\n 31.3\n </td>\n <td>\n 0.063\n </td>\n <td>\n MYOSIN PHOSPHATASE ACTIVITY\n </td>\n <td>\n 2.000\n </td>\n <td>\n 12.500\n </td>\n <td>\n 0.044\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n PROTEIN PHOSPHATASE TYPE 2B ACTIVITY\n </td>\n <td>\n 2.000\n </td>\n <td>\n 12.500\n </td>\n <td>\n 0.044\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n PROTEIN PHOSPHATASE TYPE 2C ACTIVITY\n </td>\n <td>\n 2.000\n </td>\n <td>\n 12.500\n </td>\n <td>\n 0.044\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"3\">\n \n Circulating procoagulant microparticles (nM PhtdSer Eq.)\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n STEMI patient with APS\n \n </td>\n <td>\n \n STEMI patients without APL (n = 9)\n \n </td>\n <td>\n \n Healthy Volunteers (n = 50)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n MP captured onto annexin V\n </td>\n <td>\n 21\n </td>\n <td>\n 9.7 ± 1.5\n </td>\n <td>\n 2.3 ± 0.1\n </td>\n </tr>\n <tr>\n <td>\n MP of platelet origin (captured onto anti GPIb antibody)\n </td>\n <td>\n 7.70\n </td>\n <td>\n 1.32 ± 0.18\n </td>\n <td>\n 0.58 ± 0.1\n </td>\n </tr>\n <tr>\n <td>\n MP of endothelial origin (captured onto anti CD31 antibody)\n </td>\n <td>\n 0.50\n </td>\n <td>\n 0.17 ± 0.05\n </td>\n <td>\n 0.02 ± 0.006\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Study\n \n </td>\n <td>\n \n Prognostic model and cut-off probability of mortality\n \n </td>\n <td>\n \n Observed Mortality, %\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Sculier [20]\n </td>\n <td>\n APACHE II >70%\n </td>\n <td>\n 86\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n SAPS II >60%\n </td>\n <td>\n 67\n </td>\n </tr>\n <tr>\n <td>\n Berghmans [22]\n </td>\n <td>\n APACHE II >60%\n </td>\n <td>\n 78\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n SAPS II >60%\n </td>\n <td>\n 86\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n ICMM >40%\n </td>\n <td>\n 67\n </td>\n </tr>\n <tr>\n <td>\n Staudinger [24]\n </td>\n <td>\n APACHE III ≥ 79*\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td>\n Kroschinsky [29]\n </td>\n <td>\n SAPS II ≥ 80*\n </td>\n <td>\n 95\n </td>\n </tr>\n <tr>\n <td>\n Groeger [13]\n </td>\n <td>\n ICCM\n <sub>\n 72\n </sub>\n >70%\n </td>\n <td>\n 83\n </td>\n </tr>\n <tr>\n <td>\n Groeger [12]\n </td>\n <td>\n ICCM >80%\n </td>\n <td>\n 91\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Vaccinated area [km\n <sup>\n 2\n </sup>\n ]\n \n </td>\n <td>\n \n ring thickness [km]\n \n </td>\n <td>\n \n ring – inner radius [km]\n \n </td>\n <td>\n \n ring – outer radius [km]\n \n </td>\n <td>\n \n circle – outer radius [km]\n \n </td>\n <td>\n \n gain [km]\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 6400\n </td>\n <td>\n 20\n </td>\n <td>\n 30\n </td>\n <td>\n 50\n </td>\n <td>\n 40\n </td>\n <td>\n 10\n </td>\n </tr>\n <tr>\n <td>\n 10800\n </td>\n <td>\n 30\n </td>\n <td>\n 30\n </td>\n <td>\n 60\n </td>\n <td>\n 52\n </td>\n <td>\n 8\n </td>\n </tr>\n <tr>\n <td>\n 16000\n </td>\n <td>\n 40\n </td>\n <td>\n 30\n </td>\n <td>\n 70\n </td>\n <td>\n 63\n </td>\n <td>\n 7\n </td>\n </tr>\n <tr>\n <td>\n \n \n 22000\n \n \n </td>\n <td>\n \n \n 50\n \n \n </td>\n <td>\n \n \n 30\n \n \n </td>\n <td>\n \n \n 80\n \n \n </td>\n <td>\n \n \n 74\n \n \n </td>\n <td>\n \n \n 6\n \n \n </td>\n </tr>\n <tr>\n <td>\n \n \n 10800\n \n \n </td>\n <td>\n \n \n 43\n \n \n </td>\n <td>\n \n \n 10\n \n \n </td>\n <td>\n \n \n 53\n \n \n </td>\n <td>\n \n \n 52\n \n \n </td>\n <td>\n \n \n 1\n \n \n </td>\n </tr>\n <tr>\n <td>\n \n \n 10800\n \n \n </td>\n <td>\n \n \n 22\n \n \n </td>\n <td>\n \n \n 50\n \n \n </td>\n <td>\n \n \n 72\n \n \n </td>\n <td>\n \n \n 52\n \n \n </td>\n <td>\n \n \n 20\n \n \n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n \n Unbiased VAS vs VRS\n \n </td>\n <td colspan=\"2\">\n \n Equidistant VAS vs VRS\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Pain etiology group\n \n </td>\n <td>\n \n PA (%)\n \n </td>\n <td>\n \n MA\n \n </td>\n <td>\n \n PA (%)\n \n </td>\n <td>\n \n MA\n \n </td>\n <td>\n \n RP (95% CI)\n \n </td>\n <td>\n \n RC (95% CI)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n All, n = 81\n </td>\n <td>\n 73\n </td>\n <td>\n 0.93\n </td>\n <td>\n 44\n </td>\n <td>\n 0.96\n </td>\n <td>\n 0.18 (0.07 to 0.28)\n </td>\n <td>\n 0.43 (0.33 to 0.53)\n </td>\n </tr>\n <tr>\n <td>\n Chron/idiop, n = 30\n </td>\n <td>\n 67\n </td>\n <td>\n 0.95\n </td>\n <td>\n 60\n </td>\n <td>\n 0.99\n </td>\n <td>\n 0.06 (-0.07 to 0.20)\n </td>\n <td>\n 0.27 (0.12 to 0.42)\n </td>\n </tr>\n <tr>\n <td>\n Nociceptive, n = 31\n </td>\n <td>\n 77\n </td>\n <td>\n 0.90\n </td>\n <td>\n 29\n </td>\n <td>\n 0.91\n </td>\n <td>\n 0.44 (0.27 to 0.61)\n </td>\n <td>\n 0.56 (0.29 to 0.83)\n </td>\n </tr>\n <tr>\n <td>\n Neuropathic, n = 19\n </td>\n <td>\n 58\n </td>\n <td>\n 0.86\n </td>\n <td>\n 42\n </td>\n <td>\n 0.96\n </td>\n <td>\n -0.02 (-0.25 to 0.21)\n </td>\n <td>\n 0.36 (0.08 to 0.64)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"2\">\n \n Period\n \n </td>\n <td colspan=\"2\">\n \n Respiratory Rate\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Combined\n \n </td>\n <td>\n \n Day\n \n </td>\n <td>\n \n Night\n \n </td>\n <td>\n \n Low\n \n </td>\n <td>\n \n High\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n SN\n \n </td>\n <td>\n 78.1 (76.7, 79.4)\n </td>\n <td>\n 76.7 (75.1, 78.2)\n </td>\n <td>\n 82.7 (80.0, 85.1)*\n </td>\n <td>\n 69.5 (66.3, 72.6)\n </td>\n <td>\n 80.6 (79.0, 82.0)¶\n </td>\n </tr>\n <tr>\n <td>\n \n SP\n \n </td>\n <td>\n 99.6 (99.5, 99.6)\n </td>\n <td>\n 99.6 (99.5, 99.6)\n </td>\n <td>\n 99.7 (99.7, 99.8)*\n </td>\n <td>\n 99.5 (99.5, 99.6)\n </td>\n <td>\n 99.7 (99.6, 99.7) ¶\n </td>\n </tr>\n <tr>\n <td>\n \n PPV\n \n </td>\n <td>\n 84.6 (83.3, 85.8)\n </td>\n <td>\n 84.5 (83.0, 85.8)\n </td>\n <td>\n 85.0 (82.3, 87.3)\n </td>\n <td>\n 69.8 (66.5, 72.8)\n </td>\n <td>\n 89.4 (88.1, 90.5) ¶\n </td>\n </tr>\n <tr>\n <td>\n \n NPV\n \n </td>\n <td>\n 99.4 (99.3, 99.4)\n </td>\n <td>\n 99.3 (99.2, 99.3)\n </td>\n <td>\n 99.7 (99.6, 99.7)*\n </td>\n <td>\n 99.5 (99.5, 99.6)\n </td>\n <td>\n 99.3 (99.2, 99.3) ¶\n </td>\n </tr>\n <tr>\n <td>\n \n ACC\n \n </td>\n <td>\n 99.0 (99.0, 99.1)\n </td>\n <td>\n 98.8 (98.8, 98.9)\n </td>\n <td>\n 99.4 (99.3, 99.5)*\n </td>\n <td>\n 99.1 (99.0, 99.2)\n </td>\n <td>\n 99.0 (98.9, 99.0)‡\n </td>\n </tr>\n <tr>\n <td>\n \n Kappa\n \n </td>\n <td>\n 80.7 (79.7, 81.7)\n </td>\n <td>\n 79.8 (78.6, 81.0)\n </td>\n <td>\n 83.5 (81.5, 85.5)\n </td>\n <td>\n 69.2 (66.6, 71.7)\n </td>\n <td>\n 84.2 (83.1, 85.3)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Component\n \n </td>\n <td>\n \n /litre\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Mannitol\n </td>\n <td>\n 5 g\n </td>\n </tr>\n <tr>\n <td>\n L-Glutamic acid\n </td>\n <td>\n 1 g\n </td>\n </tr>\n <tr>\n <td>\n KH\n <sub>\n 2\n </sub>\n PO4\n </td>\n <td>\n 250 mg\n </td>\n </tr>\n <tr>\n <td>\n NaCl\n </td>\n <td>\n 100 mg\n </td>\n </tr>\n <tr>\n <td>\n MgSO\n <sub>\n 4\n </sub>\n ·7H\n <sub>\n 2\n </sub>\n O\n </td>\n <td>\n 100 mg\n </td>\n </tr>\n <tr>\n <td>\n Tryptone\n </td>\n <td>\n 5 g\n </td>\n </tr>\n <tr>\n <td>\n Yeast extract\n </td>\n <td>\n 2.5 g\n </td>\n </tr>\n <tr>\n <td>\n pH 7.0\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Biotin (added after autoclaving from stock at 1 mg/100 ml (add 100 μl to 1 litre MG/L)\n </td>\n <td>\n 1 μg\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td colspan=\"8\">\n \n Standardized Difficulty\n \n </td>\n </tr>\n <tr>\n <td>\n \n Item\n \n </td>\n <td>\n \n Content\n \n </td>\n <td>\n \n Caucasian\n \n </td>\n <td>\n \n Japanese\n \n </td>\n <td>\n \n Filipino\n \n </td>\n <td>\n \n Hawaiian\n \n </td>\n <td>\n \n χ\n <sup>\n 2\n </sup>\n (3)\n \n </td>\n <td>\n \n \n p\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 01\n </td>\n <td>\n Physical\n </td>\n <td>\n \n 1.09\n \n </td>\n <td>\n \n 1.64\n \n </td>\n <td>\n \n 1.11\n \n </td>\n <td>\n \n 0.74\n \n </td>\n <td>\n 27.7\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 02\n </td>\n <td>\n Physical\n </td>\n <td>\n 0.72\n </td>\n <td>\n \n 0.83\n \n </td>\n <td>\n \n 0.19\n \n </td>\n <td>\n \n 1.11\n \n </td>\n <td>\n 15.2\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 03\n </td>\n <td>\n Physical\n </td>\n <td>\n -1.51\n </td>\n <td>\n -1.29\n </td>\n <td>\n -2.35\n </td>\n <td>\n -0.61\n </td>\n <td>\n 11.1\n </td>\n <td>\n .01\n </td>\n </tr>\n <tr>\n <td>\n 04\n </td>\n <td>\n Physical\n </td>\n <td>\n -1.12\n </td>\n <td>\n -0.78\n </td>\n <td>\n -1.24\n </td>\n <td>\n -0.88\n </td>\n <td>\n 2.3\n </td>\n <td>\n .51\n </td>\n </tr>\n <tr>\n <td>\n 05\n </td>\n <td>\n Physical\n </td>\n <td>\n -2.15\n </td>\n <td>\n -2.39\n </td>\n <td>\n -2.97\n </td>\n <td>\n -2.29\n </td>\n <td>\n 2.5\n </td>\n <td>\n .47\n </td>\n </tr>\n <tr>\n <td>\n 06\n </td>\n <td>\n Role\n </td>\n <td>\n 0.81\n </td>\n <td>\n 0.51\n </td>\n <td>\n 0.51\n </td>\n <td>\n 0.61\n </td>\n <td>\n 7.3\n </td>\n <td>\n .06\n </td>\n </tr>\n <tr>\n <td>\n 07\n </td>\n <td>\n Role\n </td>\n <td>\n \n -1.79\n \n </td>\n <td>\n \n -0.80\n \n </td>\n <td>\n \n -0.73\n \n </td>\n <td>\n \n -0.38\n \n </td>\n <td>\n 22.2\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 08\n </td>\n <td>\n Dyspnea\n </td>\n <td>\n -0.15\n </td>\n <td>\n -0.01\n </td>\n <td>\n -0.06\n </td>\n <td>\n 0.17\n </td>\n <td>\n 4.2\n </td>\n <td>\n .24\n </td>\n </tr>\n <tr>\n <td>\n 09\n </td>\n <td>\n Pain\n </td>\n <td>\n 0.90\n </td>\n <td>\n 0.89\n </td>\n <td>\n 0.67\n </td>\n <td>\n 0.68\n </td>\n <td>\n 5.3\n </td>\n <td>\n .15\n </td>\n </tr>\n <tr>\n <td>\n 10\n </td>\n <td>\n Fatigue\n </td>\n <td>\n \n 1.50\n \n </td>\n <td>\n \n 0.94\n \n </td>\n <td>\n 1.25\n </td>\n <td>\n 1.02\n </td>\n <td>\n 28.8\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 11\n </td>\n <td>\n Insomnia\n </td>\n <td>\n 1.05\n </td>\n <td>\n 0.68\n </td>\n <td>\n 0.93\n </td>\n <td>\n 1.02\n </td>\n <td>\n 11.0\n </td>\n <td>\n .01\n </td>\n </tr>\n <tr>\n <td>\n 12\n </td>\n <td>\n Fatigue\n </td>\n <td>\n 0.23\n </td>\n <td>\n 0.35\n </td>\n <td>\n 0.51\n </td>\n <td>\n 0.43\n </td>\n <td>\n 5.2\n </td>\n <td>\n .15\n </td>\n </tr>\n <tr>\n <td>\n 13\n </td>\n <td>\n Appetite Loss\n </td>\n <td>\n -0.11\n </td>\n <td>\n -0.39\n </td>\n <td>\n 0.00\n </td>\n <td>\n -0.34\n </td>\n <td>\n 5.2\n </td>\n <td>\n .16\n </td>\n </tr>\n <tr>\n <td>\n 14\n </td>\n <td>\n Nausea\n </td>\n <td>\n \n -0.96\n \n </td>\n <td>\n \n -1.25\n \n </td>\n <td>\n \n -0.30\n \n </td>\n <td>\n -0.61\n </td>\n <td>\n 19.4\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 15\n </td>\n <td>\n Nausea\n </td>\n <td>\n \n -2.23\n \n </td>\n <td>\n \n -2.89\n \n </td>\n <td>\n \n -1.35\n \n </td>\n <td>\n \n -3.43\n \n </td>\n <td>\n 19.5\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 16\n </td>\n <td>\n Constipation\n </td>\n <td>\n \n -0.34\n \n </td>\n <td>\n 0.01\n </td>\n <td>\n \n 0.16\n \n </td>\n <td>\n \n 0.16\n \n </td>\n <td>\n 27.2\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 17\n </td>\n <td>\n Diarrhea\n </td>\n <td>\n -0.44\n </td>\n <td>\n -0.55\n </td>\n <td>\n -0.73\n </td>\n <td>\n -1.04\n </td>\n <td>\n 12.1\n </td>\n <td>\n .01\n </td>\n </tr>\n <tr>\n <td>\n 18\n </td>\n <td>\n Fatigue\n </td>\n <td>\n 1.26\n </td>\n <td>\n 1.20\n </td>\n <td>\n 1.08\n </td>\n <td>\n 1.41\n </td>\n <td>\n 1.3\n </td>\n <td>\n .72\n </td>\n </tr>\n <tr>\n <td>\n 19\n </td>\n <td>\n Pain\n </td>\n <td>\n -0.35\n </td>\n <td>\n -0.14\n </td>\n <td>\n -0.13\n </td>\n <td>\n 0.11\n </td>\n <td>\n 9.0\n </td>\n <td>\n .03\n </td>\n </tr>\n <tr>\n <td>\n 20\n </td>\n <td>\n Cognitive\n </td>\n <td>\n -0.42\n </td>\n <td>\n -0.35\n </td>\n <td>\n -0.42\n </td>\n <td>\n -0.24\n </td>\n <td>\n 1.0\n </td>\n <td>\n .80\n </td>\n </tr>\n <tr>\n <td>\n 21\n </td>\n <td>\n Emotional\n </td>\n <td>\n 0.44\n </td>\n <td>\n 0.18\n </td>\n <td>\n 0.42\n </td>\n <td>\n 0.01\n </td>\n <td>\n 11.1\n </td>\n <td>\n .01\n </td>\n </tr>\n <tr>\n <td>\n 22\n </td>\n <td>\n Emotional\n </td>\n <td>\n \n 1.18\n \n </td>\n <td>\n 0.91\n </td>\n <td>\n \n 1.27\n \n </td>\n <td>\n \n 0.56\n \n </td>\n <td>\n 21.7\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 23\n </td>\n <td>\n Emotional\n </td>\n <td>\n 0.49\n </td>\n <td>\n 0.51\n </td>\n <td>\n 0.58\n </td>\n <td>\n 0.72\n </td>\n <td>\n 2.5\n </td>\n <td>\n .47\n </td>\n </tr>\n <tr>\n <td>\n 24\n </td>\n <td>\n Emotional\n </td>\n <td>\n 0.47\n </td>\n <td>\n 0.30\n </td>\n <td>\n 0.54\n </td>\n <td>\n -0.03\n </td>\n <td>\n 11.0\n </td>\n <td>\n .01\n </td>\n </tr>\n <tr>\n <td>\n 25\n </td>\n <td>\n Cognitive\n </td>\n <td>\n \n 0.54\n \n </td>\n <td>\n \n 0.89\n \n </td>\n <td>\n \n 0.13\n \n </td>\n <td>\n \n 0.92\n \n </td>\n <td>\n 30.2\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 26\n </td>\n <td>\n Social\n </td>\n <td>\n 0.07\n </td>\n <td>\n 0.23\n </td>\n <td>\n 0.21\n </td>\n <td>\n -0.24\n </td>\n <td>\n 4.7\n </td>\n <td>\n .19\n </td>\n </tr>\n <tr>\n <td>\n 27\n </td>\n <td>\n Social\n </td>\n <td>\n \n 0.71\n \n </td>\n <td>\n \n 0.57\n \n </td>\n <td>\n \n 0.28\n \n </td>\n <td>\n \n 0.23\n \n </td>\n <td>\n 15.2\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 28\n </td>\n <td>\n Financial\n </td>\n <td>\n \n 0.26\n \n </td>\n <td>\n \n 0.30\n \n </td>\n <td>\n \n 1.12\n \n </td>\n <td>\n \n 0.49\n \n </td>\n <td>\n 47.0\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 29\n </td>\n <td>\n Physical\n </td>\n <td>\n \n 0.08\n \n </td>\n <td>\n \n 0.14\n \n </td>\n <td>\n \n -0.33\n \n </td>\n <td>\n -0.01\n </td>\n <td>\n 15.1\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 30\n </td>\n <td>\n Overall\n </td>\n <td>\n -0.22\n </td>\n <td>\n -0.22\n </td>\n <td>\n -0.37\n </td>\n <td>\n -0.31\n </td>\n <td>\n 2.0\n </td>\n <td>\n .56\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Poly-T\n \n </td>\n <td>\n \n Expected exon-9 skipping, %\n \n </td>\n <td>\n \n F508del heterozygosity\n \n </td>\n <td>\n \n n\n \n </td>\n <td>\n \n Incidence n/10000 person-years\n \n </td>\n <td>\n \n P-value*\n \n </td>\n <td>\n \n Unadjusted HR (95%CI)\n \n </td>\n <td>\n \n Adjusted\n <sup>\n †\n </sup>\n HR (95%CI)\n \n </td>\n <td>\n \n 90% power\n <sup>\n ‡\n </sup>\n HR\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n 9T/9T\n \n </td>\n <td>\n 7\n </td>\n <td>\n </td>\n <td>\n 83\n </td>\n <td>\n 40\n </td>\n <td>\n 0.10\n </td>\n <td>\n 1.8 (0.89–3.6)\n </td>\n <td>\n 1.7 (0.85–3.5)\n </td>\n <td>\n 2.3\n </td>\n </tr>\n <tr>\n <td>\n \n 7T/9T\n \n </td>\n <td>\n 13\n </td>\n <td>\n </td>\n <td>\n 1540\n </td>\n <td>\n 21\n </td>\n <td>\n 0.70\n </td>\n <td>\n 0.95 (0.75–1.2)\n </td>\n <td>\n 0.99 (0.78–1.3)\n </td>\n <td>\n 1.3\n </td>\n </tr>\n <tr>\n <td>\n \n 7T/7T\n \n </td>\n <td>\n 18\n </td>\n <td>\n </td>\n <td>\n 6905\n </td>\n <td>\n 22\n </td>\n <td>\n -\n </td>\n <td>\n 1.0\n </td>\n <td>\n 1.0\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n 6T/7T\n \n </td>\n <td>\n ≥18\n </td>\n <td>\n </td>\n <td>\n 4\n </td>\n <td>\n 105\n </td>\n <td>\n 0.08\n </td>\n <td>\n 4.9 (0.69–35)\n </td>\n <td>\n 7.6 (1.0–55)\n </td>\n <td>\n 11\n </td>\n </tr>\n <tr>\n <td>\n \n 5T/9T\n \n </td>\n <td>\n 43\n </td>\n <td>\n </td>\n <td>\n 40\n </td>\n <td>\n 21\n </td>\n <td>\n 0.90\n </td>\n <td>\n 0.92 (0.23–3.7)\n </td>\n <td>\n 0.75 (0.19–3.0)\n </td>\n <td>\n 3.0\n </td>\n </tr>\n <tr>\n <td>\n \n 5T/7T\n \n </td>\n <td>\n 48\n </td>\n <td>\n </td>\n <td>\n 308\n </td>\n <td>\n 11\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.47 (0.23–0.95)\n </td>\n <td>\n 0.49 (0.23–1.0)\n </td>\n <td>\n 1.6\n </td>\n </tr>\n <tr>\n <td>\n \n 5T/5T\n \n </td>\n <td>\n 78\n </td>\n <td>\n </td>\n <td>\n 2\n </td>\n <td>\n 0\n </td>\n <td>\n 0.73\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 19\n </td>\n </tr>\n <tr>\n <td>\n \n 9T/9T\n \n </td>\n <td>\n -\n </td>\n <td>\n yes\n </td>\n <td>\n 23\n </td>\n <td>\n 0\n </td>\n <td>\n 0.25\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 3.8\n </td>\n </tr>\n <tr>\n <td>\n \n 7T/9T\n \n </td>\n <td>\n -\n </td>\n <td>\n yes\n </td>\n <td>\n 217\n </td>\n <td>\n 25\n </td>\n <td>\n 0.73\n </td>\n <td>\n 1.1 (0.63–1.9)\n </td>\n <td>\n 1.1 (0.62–1.9)\n </td>\n <td>\n 1.7\n </td>\n </tr>\n <tr>\n <td>\n \n 7T/7T\n \n </td>\n <td>\n -\n </td>\n <td>\n yes\n </td>\n <td>\n 5\n </td>\n <td>\n 0\n </td>\n <td>\n 0.59\n </td>\n <td>\n </td>\n <td>\n -\n </td>\n <td>\n 9.7\n </td>\n </tr>\n <tr>\n <td>\n \n 5T/9T\n \n </td>\n <td>\n -\n </td>\n <td>\n yes\n </td>\n <td>\n 4\n </td>\n <td>\n 0\n </td>\n <td>\n 0.63\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 11\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n \n Independent variable\n \n </td>\n </tr>\n <tr>\n <td>\n \n Variable\n \n </td>\n <td>\n \n Coefficient ± SE\n \n </td>\n <td>\n \n \n p\n \n -Value\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Intercept\n </td>\n <td>\n 53.51 ± 6.83\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n Race/ethnicity\n </td>\n </tr>\n <tr>\n <td>\n Non-Hispanic white (1)\n </td>\n <td>\n −7.33 ± 5.00\n </td>\n <td>\n 0.1486\n </td>\n </tr>\n <tr>\n <td>\n Non-Hispanic black (2)\n </td>\n <td>\n 20.82 ± 5.68\n </td>\n <td>\n 0.0006\n </td>\n </tr>\n <tr>\n <td>\n Mexican American (3)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n Sex\n </td>\n </tr>\n <tr>\n <td>\n Male (1)\n </td>\n <td>\n 34.59 ± 4.14\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n Female (2)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n Age group (years)\n </td>\n </tr>\n <tr>\n <td>\n 6–11 (1)\n </td>\n <td>\n 12.55 ± 5.24\n </td>\n <td>\n 0.0026\n </td>\n </tr>\n <tr>\n <td>\n 12–19 (2)\n </td>\n <td>\n 62.90 ± 5.64\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n 20–29 (3)\n </td>\n <td>\n 43.56 ± 5.70\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n 30–39 (4)\n </td>\n <td>\n 29.78 ± 5.78\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n 40–49 (5)\n </td>\n <td>\n 16.65 ± 6.42\n </td>\n <td>\n 0.0125\n </td>\n </tr>\n <tr>\n <td>\n 50–59 (6)\n </td>\n <td>\n −1.17 ± 6.24\n </td>\n <td>\n 0.8524\n </td>\n </tr>\n <tr>\n <td>\n 60–69 (7)\n </td>\n <td>\n −8.47 ± 4.81\n </td>\n <td>\n 0.0847\n </td>\n </tr>\n <tr>\n <td>\n ≥70 (8)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n BMI (continuous)\n </td>\n <td>\n 1.30 ± 0.19\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n Race/ethnicity × age group\n </td>\n </tr>\n <tr>\n <td>\n (1) × (1)\n </td>\n <td>\n 16.19 ± 6.09\n </td>\n <td>\n 0.0106\n </td>\n </tr>\n <tr>\n <td>\n (1) × (2)\n </td>\n <td>\n 16.14 ± 6.67\n </td>\n <td>\n 0.0192\n </td>\n </tr>\n <tr>\n <td>\n (1) × (3)\n </td>\n <td>\n 10.74 ± 6.68\n </td>\n <td>\n 0.1141\n </td>\n </tr>\n <tr>\n <td>\n (1) × (4)\n </td>\n <td>\n 4.34 ± 5.66\n </td>\n <td>\n 0.4469\n </td>\n </tr>\n <tr>\n <td>\n (1) × (5)\n </td>\n <td>\n −2.40 ± 6.94\n </td>\n <td>\n 0.7308\n </td>\n </tr>\n <tr>\n <td>\n (1) × (6)\n </td>\n <td>\n −0.82 ± 5.73\n </td>\n <td>\n 0.8864\n </td>\n </tr>\n <tr>\n <td>\n (1) × (7)\n </td>\n <td>\n 6.99 ± 4.86\n </td>\n <td>\n 0.1569\n </td>\n </tr>\n <tr>\n <td>\n (1) × (8)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (2) × (1)\n </td>\n <td>\n 8.64 ± 6.48\n </td>\n <td>\n 0.1886\n </td>\n </tr>\n <tr>\n <td>\n (2) × (2)\n </td>\n <td>\n 24.28 ± 6.48\n </td>\n <td>\n 0.0005\n </td>\n </tr>\n <tr>\n <td>\n (2) × (3)\n </td>\n <td>\n 28.19 ± 6.50\n </td>\n <td>\n 0.0001\n </td>\n </tr>\n <tr>\n <td>\n (2) × (4)\n </td>\n <td>\n 15.01 ± 7.12\n </td>\n <td>\n 0.0403\n </td>\n </tr>\n <tr>\n <td>\n (2) × (5)\n </td>\n <td>\n 14.69 ± 7.77\n </td>\n <td>\n 0.0648\n </td>\n </tr>\n <tr>\n <td>\n (2) × (6)\n </td>\n <td>\n 14.98 ± 8.27\n </td>\n <td>\n 0.0762\n </td>\n </tr>\n <tr>\n <td>\n (2) × (7)\n </td>\n <td>\n 8.58 ± 6.35\n </td>\n <td>\n 0.1826\n </td>\n </tr>\n <tr>\n <td>\n (2) × (8)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (3) × (1)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (3) × (2)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (3) × (3)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (3) × (4)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (3) × (5)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (3) × (6)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (3) × (7)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (3) × (8)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n Sex × age group\n </td>\n </tr>\n <tr>\n <td>\n (1) × (1)\n </td>\n <td>\n −30.64 ± 4.26\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n (1) × (2)\n </td>\n <td>\n −30.44 ± 5.86\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n (1) × (3)\n </td>\n <td>\n 11.57 ± 5.30\n </td>\n <td>\n 0.0339\n </td>\n </tr>\n <tr>\n <td>\n (1) × (4)\n </td>\n <td>\n 6.01 ± 7.16\n </td>\n <td>\n 0.4051\n </td>\n </tr>\n <tr>\n <td>\n (1) × (5)\n </td>\n <td>\n 15.86 ± 5.53\n </td>\n <td>\n 0.0061\n </td>\n </tr>\n <tr>\n <td>\n (1) × (6)\n </td>\n <td>\n 12.53 ± 7.57\n </td>\n <td>\n 0.1045\n </td>\n </tr>\n <tr>\n <td>\n (1) × (7)\n </td>\n <td>\n 9.39 ± 5.51\n </td>\n <td>\n 0.0944\n </td>\n </tr>\n <tr>\n <td>\n (1) × (8)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (2) × (1)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (2) × (2)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (2) × (3)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (2) × (4)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (2) × (5)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (2) × (6)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (2) × (7)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n (2) × (8)\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n NA\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Time/event\n \n </td>\n <td>\n \n Fraction of mouse weight at sexual maturity\n \n </td>\n <td>\n \n Source of human weight data\n \n </td>\n <td>\n \n Corresponding human age\n \n </td>\n <td>\n \n Unit of human age\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"5\">\n Male mouse\n </td>\n </tr>\n <tr>\n <td>\n Begin fetal dosing (GD12)\n </td>\n <td>\n 6.4 × 10\n <sup>\n –4\n </sup>\n </td>\n <td>\n Potter and Craig 1975\n </td>\n <td>\n 93\n </td>\n <td>\n Gestation days\n </td>\n </tr>\n <tr>\n <td>\n Birth (GD20)\n </td>\n <td>\n 0.048\n </td>\n <td>\n Potter and Craig 1975\n </td>\n <td>\n 35\n </td>\n <td>\n Gestation weeks\n </td>\n </tr>\n <tr>\n <td>\n Weaning (PND21)\n </td>\n <td>\n 0.354\n </td>\n <td>\n NHANES III\n </td>\n <td>\n 3.16\n </td>\n <td>\n Postnatal years\n </td>\n </tr>\n <tr>\n <td>\n Adult (PND60)\n </td>\n <td>\n 1.163\n </td>\n <td>\n NHANES III\n </td>\n <td>\n 12.8\n </td>\n <td>\n Postnatal years\n </td>\n </tr>\n <tr>\n <td colspan=\"5\">\n Female mouse\n </td>\n </tr>\n <tr>\n <td>\n Begin fetal dosing (GD12)\n </td>\n <td>\n 1.8 × 10\n <sup>\n –3\n </sup>\n </td>\n <td>\n Potter and Craig 1975\n </td>\n <td>\n 112\n </td>\n <td>\n Gestation days\n </td>\n </tr>\n <tr>\n <td>\n Birth (GD20)\n </td>\n <td>\n 0.092\n </td>\n <td>\n Sunderman and Boerner 1949\n </td>\n <td>\n 14\n </td>\n <td>\n Postnatal days\n </td>\n </tr>\n <tr>\n <td>\n Weaning (PND21)\n </td>\n <td>\n 0.677\n </td>\n <td>\n NHANES III\n </td>\n <td>\n 7.40\n </td>\n <td>\n Postnatal years\n </td>\n </tr>\n <tr>\n <td>\n Adult (PND60)\n </td>\n <td>\n 1.435\n </td>\n <td>\n NHANES III\n </td>\n <td>\n 15.1\n </td>\n <td>\n Postnatal years\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Variable\n \n </td>\n <td>\n \n No. (%)\n \n </td>\n <td>\n \n Percent InAs\n \n </td>\n <td>\n \n Percent MMA\n \n </td>\n <td>\n \n Percent DMA\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n All\n </td>\n <td>\n 87 (100)\n </td>\n <td>\n 12.1 ± 4.9\n </td>\n <td>\n 13.1 ± 3.9\n </td>\n <td>\n 74.8 ± 7.0\n </td>\n </tr>\n <tr>\n <td colspan=\"5\">\n Sex\n </td>\n </tr>\n <tr>\n <td>\n Women\n </td>\n <td>\n 22 (25)\n </td>\n <td>\n 10.3 ± 2.7\n </td>\n <td>\n 10.7 ± 2.4\n </td>\n <td>\n 79.0 ± 3.6\n </td>\n </tr>\n <tr>\n <td>\n Men\n </td>\n <td>\n 65 (75)\n </td>\n <td>\n 12.7 ± 5.3\n </td>\n <td>\n 13.9 ± 4.0\n </td>\n <td>\n 73.4 ± 7.4\n </td>\n </tr>\n <tr>\n <td>\n \n p\n \n -Value\n </td>\n <td>\n </td>\n <td>\n 0.009\n </td>\n <td>\n < 0.001\n </td>\n <td>\n < 0.001\n </td>\n </tr>\n <tr>\n <td colspan=\"5\">\n Smoking\n </td>\n </tr>\n <tr>\n <td>\n Current\n </td>\n <td>\n 14 (16)\n </td>\n <td>\n 14.7 ± 7.5\n </td>\n <td>\n 13.0 ± 5.3\n </td>\n <td>\n 72.3 ± 11.2\n </td>\n </tr>\n <tr>\n <td>\n Former\n </td>\n <td>\n 47 (54)\n </td>\n <td>\n 11.6 ± 4.1\n </td>\n <td>\n 13.5 ± 3.8\n </td>\n <td>\n 74.9 ± 6.0\n </td>\n </tr>\n <tr>\n <td>\n Never\n </td>\n <td>\n 26 (30)\n </td>\n <td>\n 11.6 ± 4.0\n </td>\n <td>\n 12.4 ± 3.2\n </td>\n <td>\n 76.0 ± 5.8\n </td>\n </tr>\n <tr>\n <td>\n \n p\n \n -Value\n </td>\n <td>\n </td>\n <td>\n 0.15\n </td>\n <td>\n 0.94\n </td>\n <td>\n 0.34\n </td>\n </tr>\n <tr>\n <td colspan=\"5\">\n Age (years)\n </td>\n </tr>\n <tr>\n <td>\n < 65\n </td>\n <td>\n 24 (28)\n </td>\n <td>\n 13.2 ± 4.7\n </td>\n <td>\n 11.9 ± 2.5\n </td>\n <td>\n 74.9 ± 6.4\n </td>\n </tr>\n <tr>\n <td>\n 65–75\n </td>\n <td>\n 34 (39)\n </td>\n <td>\n 13.0 ± 5.0\n </td>\n <td>\n 13.6 ± 4.5\n </td>\n <td>\n 73.3 ± 8.2\n </td>\n </tr>\n <tr>\n <td>\n > 75\n </td>\n <td>\n 29 (33)\n </td>\n <td>\n 10.0 ± 4.3\n </td>\n <td>\n 13.4 ± 3.8\n </td>\n <td>\n 76.6 ± 5.9\n </td>\n </tr>\n <tr>\n <td>\n \n R\n \n (\n \n p\n \n -value)a\n </td>\n <td>\n </td>\n <td>\n −0.24 (0.03)\n </td>\n <td>\n 0.15 (0.17)\n </td>\n <td>\n 0.08 (0.46)\n </td>\n </tr>\n <tr>\n <td colspan=\"5\">\n Urinary arsenic (μg/L)b\n </td>\n </tr>\n <tr>\n <td>\n < 9.9\n </td>\n <td>\n 29 (33)\n </td>\n <td>\n 12.9 ± 5.4\n </td>\n <td>\n 13.4 ± 4.2\n </td>\n <td>\n 73.8 ± 8.4\n </td>\n </tr>\n <tr>\n <td>\n 9.9–20.3\n </td>\n <td>\n 29 (33)\n </td>\n <td>\n 11.3 ± 3.6\n </td>\n <td>\n 12.5 ± 4.3\n </td>\n <td>\n 76.2 ± 5.8\n </td>\n </tr>\n <tr>\n <td>\n > 20.3\n </td>\n <td>\n 29 (33)\n </td>\n <td>\n 12.0 ± 5.4\n </td>\n <td>\n 13.4 ± 3.0\n </td>\n <td>\n 74.6 ± 6.7\n </td>\n </tr>\n <tr>\n <td>\n \n R\n \n (\n \n p\n \n -value)a\n </td>\n <td>\n </td>\n <td>\n 0.05 (0.63)\n </td>\n <td>\n −0.03 (0.76)\n </td>\n <td>\n −0.02 (0.87)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Criterion\n \n </td>\n <td>\n \n University of Illinois\n \n </td>\n <td>\n \n University of California, Berkeley\n \n </td>\n <td>\n \n Columbia University\n \n </td>\n <td>\n \n Mount Sinai Medical Center\n \n </td>\n <td>\n \n Cincinnati Children’s Hospital\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age (years)\n </td>\n <td>\n Women 18–44, Men ≥ 18\n </td>\n <td>\n ≥ 18\n </td>\n <td>\n 18–35\n </td>\n <td>\n ≥ 16\n </td>\n <td>\n ≥ 18\n </td>\n </tr>\n <tr>\n <td>\n Language/ethnicity\n </td>\n <td>\n Hmong, Lao\n </td>\n <td>\n English, Spanish\n </td>\n <td>\n African-American, Dominican\n </td>\n <td>\n English, Spanish\n </td>\n <td>\n English\n </td>\n </tr>\n <tr>\n <td>\n Gestational age (weeks)\n </td>\n <td>\n </td>\n <td>\n < 20\n </td>\n <td>\n </td>\n <td>\n ≤ 26\n </td>\n <td>\n 13–19\n </td>\n </tr>\n <tr>\n <td>\n Exclusions\n </td>\n <td>\n Will exclude infants after delivery if no prenatal samples\n </td>\n <td>\n None\n </td>\n <td>\n Diabetes Hypertension HIV Smoker Illicit drug use in last year First prenatal visit > 20 weeks gestation Infants after delivery if no prenatal interview, personal monitoring data, or delivery blood Lived in study area for < 1 year before pregnancy\n </td>\n <td>\n Multiparas Multiple gestations Alcohol use Illicit drug use Infants after delivery if < 32 weeks gestation, < 1,500 g, birth defect, or no prenatal specimens\n </td>\n <td>\n Diabetes Seizure disorder HIV Schizophrenia Bipolar disorder Thyroid disease Living in mobile home Home built before 1979\n </td>\n </tr>\n <tr>\n <td>\n Prenatal care at participating clinic\n </td>\n <td>\n No\n </td>\n <td>\n Yes\n </td>\n <td>\n Yes\n </td>\n <td>\n Yes\n </td>\n <td>\n Yes\n </td>\n </tr>\n <tr>\n <td>\n Planned delivery at participating hospital\n </td>\n <td>\n No\n </td>\n <td>\n Yes\n </td>\n <td>\n Yes\n </td>\n <td>\n Yes\n </td>\n <td>\n Yes\n </td>\n </tr>\n <tr>\n <td>\n No plans to move\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n < 1 year after delivery\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Other\n </td>\n <td>\n Residents of Green Bay/Appleton\n </td>\n <td>\n MediCal eligible\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Who determined eligibility?\n </td>\n <td>\n Research staff\n </td>\n <td>\n Clinic staff\n </td>\n <td>\n Research staff\n </td>\n <td>\n Research staff\n </td>\n <td>\n Research staff\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"3\">\n \n MD group (n = 26)\n \n </td>\n <td colspan=\"3\">\n \n CD group (n = 25)\n \n </td>\n <td>\n \n P-value*\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td colspan=\"3\">\n \n Time (weeks after dietary shift)\n \n </td>\n <td colspan=\"3\">\n \n Time (weeks after start of study)\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n 0\n \n </td>\n <td>\n \n 3\n \n </td>\n <td>\n \n 12\n \n </td>\n <td>\n \n 0\n \n </td>\n <td>\n \n 3\n \n </td>\n <td>\n \n 12\n \n </td>\n <td>\n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 16:0\n </td>\n <td>\n 28.3 (23.6–31.0)\n </td>\n <td>\n 29.0 (24.6–32.2)\n </td>\n <td>\n 27.8 (25.3–31.3)\n </td>\n <td>\n 28.9 (27.2–31.7)\n </td>\n <td>\n 29.4 (27.1–32.3)\n </td>\n <td>\n 29.8 (26.6–32.1)\n </td>\n <td>\n 0.797\n </td>\n </tr>\n <tr>\n <td>\n 18:0\n </td>\n <td>\n 14.5 (13.1–15.2)\n </td>\n <td>\n 13.7 (12.2–15.3)\n </td>\n <td>\n 13.7 (12.4–15.7)\n </td>\n <td>\n 15.0 (13.2–17.1)\n </td>\n <td>\n 14.6 (13.3–16.5)\n </td>\n <td>\n 15.0 (13.3–17.0)\n </td>\n <td>\n 0.584\n </td>\n </tr>\n <tr>\n <td>\n 20:0\n </td>\n <td>\n 0.0 (0.0–0.1)\n </td>\n <td>\n 0.0 (0.0–0.2)\n </td>\n <td>\n 0.0 (0.0–0.3)\n <sup>\n †\n </sup>\n </td>\n <td>\n 0.0 (0.0–0.2)\n </td>\n <td>\n 0.0 (0.0–0.2)\n </td>\n <td>\n 0.0 (0.0–0.2)\n </td>\n <td>\n 0.100\n </td>\n </tr>\n <tr>\n <td>\n 24:0\n </td>\n <td>\n 1.4 (1.0–2.2)\n </td>\n <td>\n 1.4 (1.0–1.9)\n </td>\n <td>\n 1.6 (1.1–2.0)\n </td>\n <td>\n 1.4 (1.0–1.6)\n </td>\n <td>\n 1.1 (0.8–1.7)\n </td>\n <td>\n 1.3 (0.8–1.8)\n </td>\n <td>\n 0.959\n </td>\n </tr>\n <tr>\n <td>\n \n Total saturated fatty acids\n \n </td>\n <td>\n 44.0 (39.1–46.8)\n </td>\n <td>\n 44.7 (37.8–48.3)\n </td>\n <td>\n 43.9 (39.6–49.4)\n </td>\n <td>\n 45.6 (41.4–49.9)\n </td>\n <td>\n 45.6 (41.1–49.1)\n </td>\n <td>\n 46.0 (42.7–49.9)\n </td>\n <td>\n 0.705\n </td>\n </tr>\n <tr>\n <td>\n 16:1n-7\n </td>\n <td>\n 0.8 (0.6–0.9)\n </td>\n <td>\n 0.7 (0.6–0.8)\n </td>\n <td>\n 0.8 (0.6–0.9)\n </td>\n <td>\n 0.7 (0.6–1.1)\n </td>\n <td>\n 0.8 (0.6–0.9)\n </td>\n <td>\n 0.8 (0.6–1.0)\n </td>\n <td>\n 0.339\n </td>\n </tr>\n <tr>\n <td>\n 18:1n-7\n </td>\n <td>\n 1.7 (1.3–1.8)\n </td>\n <td>\n 2.0 (1.4–2.2)\n </td>\n <td>\n 1.8 (1.6–2.0)\n </td>\n <td>\n 1.7 (1.3–1.9)\n </td>\n <td>\n 1.7 (1.5–2.1)\n </td>\n <td>\n 1.8 (1.5–2.0)\n </td>\n <td>\n 0.557\n </td>\n </tr>\n <tr>\n <td>\n 18:1n-9\n </td>\n <td>\n 9.9 (8.2–10.9)\n </td>\n <td>\n 9.7 (8.3–11.2)\n </td>\n <td>\n 9.4 (7.3–10.6)\n </td>\n <td>\n 10.2 (8.3–11.1)\n </td>\n <td>\n 10.6 (8.9–11.5)\n </td>\n <td>\n 10.9 (8.3–11.5)\n </td>\n <td>\n 0.087\n </td>\n </tr>\n <tr>\n <td>\n 22:1n-11\n </td>\n <td>\n 0.6 (0.2–1.6)\n </td>\n <td>\n 0.6 (0.2–1.5)\n </td>\n <td>\n 0.8 (0.8–1.8)\n </td>\n <td>\n 0.6 (0.0–1.3)\n </td>\n <td>\n 0.3 (0.0–1.0)\n </td>\n <td>\n 0.6 (0.0–1.1)\n </td>\n <td>\n 0.356\n </td>\n </tr>\n <tr>\n <td>\n \n Total monounsaturated fatty acids\n \n </td>\n <td>\n 13.1 (11.4–13.8)\n </td>\n <td>\n 12.8 (11.2–14.6)\n </td>\n <td>\n 12.6 (11.3–13.8)\n </td>\n <td>\n 13.3 (11.8–14.4)\n </td>\n <td>\n 13.6 (11.6–14.7)\n </td>\n <td>\n 13.9 (11.4–15.0)\n </td>\n <td>\n 0.207\n </td>\n </tr>\n <tr>\n <td>\n 18:2n-6\n </td>\n <td>\n 16.7 (11.5–19.9)\n </td>\n <td>\n 16.5 (10.7–18.6)\n </td>\n <td>\n 14.4 (11.0–16.9)\n </td>\n <td>\n 16.0 (12.5–19.2)\n </td>\n <td>\n 16.7 (12.8–18.1)\n </td>\n <td>\n 17.0 (13.5–19.5)\n </td>\n <td>\n 0.044\n </td>\n </tr>\n <tr>\n <td>\n 20:2n-6\n </td>\n <td>\n 0.4 (0.2–0.7)\n </td>\n <td>\n 0.3 (0.2–0.5)\n </td>\n <td>\n 0.4 (0.2–0.6)\n </td>\n <td>\n 0.3 (0.2–0.5)\n </td>\n <td>\n 0.3 (0.2–0.5)\n </td>\n <td>\n 0.4 (0.3–0.6)\n </td>\n <td>\n 0.458\n </td>\n </tr>\n <tr>\n <td>\n 20:3n-6\n </td>\n <td>\n 2.6 (1.8–3.2)\n </td>\n <td>\n 2.5 (1.7–3.0)\n </td>\n <td>\n 2.2 (1.6–2.6)\n <sup>\n ‡\n </sup>\n </td>\n <td>\n 2.1 (1.5–3.1)\n </td>\n <td>\n 2.2 (1.7–2.8)\n </td>\n <td>\n 2.4 (1.8–3.1)\n </td>\n <td>\n 0.003\n </td>\n </tr>\n <tr>\n <td>\n 20:4n-6\n </td>\n <td>\n 6.9 (5.0–7.7)\n </td>\n <td>\n 6.8 (4.8–8.2)\n </td>\n <td>\n 6.6 (4.1–8.0)\n </td>\n <td>\n 5.9 (4.1–9.8)\n </td>\n <td>\n 6.6 (4.2–8.5)\n </td>\n <td>\n 6.5 (4.8–8.7)\n </td>\n <td>\n 0.144\n </td>\n </tr>\n <tr>\n <td>\n \n Total n-6 fatty acids\n \n </td>\n <td>\n 25.2 (18.9–30.7)\n </td>\n <td>\n 26.8 (17.5–30.0)\n </td>\n <td>\n 23.8 (17.6–28.3)\n <sup>\n †\n </sup>\n </td>\n <td>\n 24.4 (18.4–32.2)\n </td>\n <td>\n 25.1 (19.3–29.9)\n </td>\n <td>\n 25.2 (21.5–30.5)\n </td>\n <td>\n 0.008\n </td>\n </tr>\n <tr>\n <td>\n 18:3n-3\n </td>\n <td>\n 0.3 (0.0–0.4)\n </td>\n <td>\n 0.2 (0.0–0.4)\n </td>\n <td>\n 0.4 (0.0–0.4)\n </td>\n <td>\n 0.3 (0.2–0.4)\n </td>\n <td>\n 0.3 (0.1–0.5)\n </td>\n <td>\n 0.3 (0.0–0.5)\n </td>\n <td>\n 0.395\n </td>\n </tr>\n <tr>\n <td>\n 20:5n-3\n </td>\n <td>\n 1.4 (1.1–1.8)\n </td>\n <td>\n 1.8 (1.1–2.8)\n </td>\n <td>\n 2.1 (1.4–3.3)\n <sup>\n §\n </sup>\n </td>\n <td>\n 1.1 (1.0–1.5)\n </td>\n <td>\n 1.1 (1.0–1.7)\n </td>\n <td>\n 1.1 (0.9–1.4)\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n 22:5n-3\n </td>\n <td>\n 0.7 (0.2–1.7)\n </td>\n <td>\n 0.6 (0.2–1.4)\n </td>\n <td>\n 0.8 (0.2–1.7)\n </td>\n <td>\n 0.5 (0.2–1.3)\n </td>\n <td>\n 0.6 (0.2–1.0)\n </td>\n <td>\n 0.6 (0.3–1.0)\n </td>\n <td>\n 0.395\n </td>\n </tr>\n <tr>\n <td>\n 22:6n-3\n </td>\n <td>\n 3.9 (2.2–4.8)\n </td>\n <td>\n 4.2 (3.1–6.6)\n </td>\n <td>\n 5.0 (2.5–7.2)\n <sup>\n §\n </sup>\n </td>\n <td>\n 3.0 (1.5–4.3)\n </td>\n <td>\n 3.5 (1.7–4.2)\n </td>\n <td>\n 3.0 (2.2–4.5)\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n \n Total n-3 fatty acids\n \n </td>\n <td>\n 6.1 (5.2–7.4)\n </td>\n <td>\n 7.3 (5.3–10.0)\n </td>\n <td>\n 8.6 (6.0–11.7)\n <sup>\n §\n </sup>\n </td>\n <td>\n 5.2 (4.3–7.0)\n </td>\n <td>\n 4.9 (3.7–6.4)\n </td>\n <td>\n 5.2 (3.8–7.0)\n </td>\n <td>\n 0.001\n </td>\n </tr>\n <tr>\n <td>\n \n n-6:n-3 ratio\n \n </td>\n <td>\n 4.2 (3.0–5.6)\n </td>\n <td>\n 3.1 (2.7–3.7)\n </td>\n <td>\n 2.5 (2.1–3.5)\n <sup>\n ‡\n </sup>\n </td>\n <td>\n 4.6 (3.6–5.6)\n </td>\n <td>\n 4.4 (3.4–5.6)\n </td>\n <td>\n 4.9 (4.1–5.6)\n </td>\n <td>\n 0.002\n </td>\n </tr>\n <tr>\n <td>\n \n Total polyunsaturated fatty acids\n \n </td>\n <td>\n 32.7 (25.9–38.4)\n </td>\n <td>\n 33.5 (24.4–40.1)\n </td>\n <td>\n 32.4 (22.7–39.0)\n </td>\n <td>\n 29.3 (22.3–37.5)\n </td>\n <td>\n 31.0 (24.0–36.6)\n </td>\n <td>\n 30.9 (25.7–37.4)\n </td>\n <td>\n 0.072\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Variable\n \n </td>\n <td>\n \n Coefficient (βi)\n \n </td>\n <td>\n \n Standard error\n \n </td>\n <td>\n \n t\n \n </td>\n <td>\n \n Significance\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Constant\n </td>\n <td>\n 3036.35\n </td>\n <td>\n 8049.64\n </td>\n <td>\n 0.377\n </td>\n <td>\n 0.714\n </td>\n </tr>\n <tr>\n <td>\n Fixed costs\n </td>\n <td>\n 1.04\n </td>\n <td>\n 0.01\n </td>\n <td>\n 95.761\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n Visits in which STI was detected\n </td>\n <td>\n 55.57\n </td>\n <td>\n 8.28\n </td>\n <td>\n 6.712\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n Other visits (mostly follow-up)\n </td>\n <td>\n 3.75\n </td>\n <td>\n 2.88\n </td>\n <td>\n 1.300\n </td>\n <td>\n 0.223\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Transcribed\n \n </td>\n <td>\n \n Exon\n \n </td>\n <td>\n \n Intron\n \n </td>\n <td>\n \n Intergenic\n \n </td>\n <td>\n \n Total\n \n </td>\n <td>\n \n \n χ\n \n <sup>\n 2\n </sup>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Mbp\n </td>\n <td>\n 65.9\n </td>\n <td>\n 28.2\n </td>\n <td>\n 37.7\n </td>\n <td>\n 50.9\n </td>\n <td>\n 116.8\n </td>\n <td>\n n.a.\n </td>\n </tr>\n <tr>\n <td>\n observed # TEs\n </td>\n <td>\n 473\n </td>\n <td>\n 59\n </td>\n <td>\n 414\n </td>\n <td>\n 1093\n </td>\n <td>\n 1566\n </td>\n <td>\n n.a.\n </td>\n </tr>\n <tr>\n <td>\n expected (overall)\n </td>\n <td>\n -\n </td>\n <td>\n 377.86\n </td>\n <td>\n 505.20\n </td>\n <td>\n 682.94\n </td>\n <td>\n 1566\n </td>\n <td>\n 531.7 (2 df)\n </td>\n </tr>\n <tr>\n <td>\n expected (transcribed\n \n vs\n \n . intergenic)\n </td>\n <td>\n 883.22\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 682.78\n </td>\n <td>\n 1566\n </td>\n <td>\n 437.0 (1 df)\n </td>\n </tr>\n <tr>\n <td>\n expected (exon\n \n vs\n \n . intron)\n </td>\n <td>\n -\n </td>\n <td>\n 202.44\n </td>\n <td>\n 270.56\n </td>\n <td>\n -\n </td>\n <td>\n 473\n </td>\n <td>\n 177.7 (1 df)\n </td>\n </tr>\n <tr>\n <td>\n expected (intron\n \n vs\n \n . intergenic)\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 640.48\n </td>\n <td>\n 866.53\n </td>\n <td>\n 1507\n </td>\n <td>\n 139.3 (1 df)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Adjusted mean cost consciousness\n \n </td>\n <td>\n \n 95% CI\n \n </td>\n <td>\n \n P value\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Type of practice\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n 0.005\n \n <sup>\n \n a\n \n </sup>\n </td>\n </tr>\n <tr>\n <td>\n Public sector, in training\n </td>\n <td>\n 51.2\n </td>\n <td>\n 50.0 to 52.4\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Public sector, senior staff\n </td>\n <td>\n 51.8\n </td>\n <td>\n 49.3 to 54.3\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Private sector\n </td>\n <td>\n 49.0\n </td>\n <td>\n 48.2 to 49.8\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Self-reported number of patients per week\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n 0.002\n \n <sup>\n \n b\n \n </sup>\n </td>\n </tr>\n <tr>\n <td>\n <26\n </td>\n <td>\n 51.9\n </td>\n <td>\n 50.6 to 53.2\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 26–50\n </td>\n <td>\n 51.2\n </td>\n <td>\n 50.0 to 52.4\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 51–75\n </td>\n <td>\n 50.3\n </td>\n <td>\n 48.7 to 52.0\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n >75\n </td>\n <td>\n 49.1\n </td>\n <td>\n 47.5 to 50.7\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Stress from uncertainty\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n <0.001\n \n <sup>\n \n b\n \n </sup>\n </td>\n </tr>\n <tr>\n <td>\n Lowest quartile (1 – 2.13)\n </td>\n <td>\n 52.4\n </td>\n <td>\n 51.0 to 53.9\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 2\n <sup>\n nd\n </sup>\n quartile (2.15 – 2.67)\n </td>\n <td>\n 51.4\n </td>\n <td>\n 50.1 to 52.8\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 3\n <sup>\n rd\n </sup>\n quartile (2.69 – 3.23)\n </td>\n <td>\n 50.9\n </td>\n <td>\n 49.5 to 52.2\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Highest quartile (3.25 – 5.0)\n </td>\n <td>\n 47.9\n </td>\n <td>\n 46.4 to 49.4\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Work-related satisfaction\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n <0.001\n \n <sup>\n \n b\n \n </sup>\n </td>\n </tr>\n <tr>\n <td>\n Lowest quartile (1.0 – 4.5)\n </td>\n <td>\n 48.5\n </td>\n <td>\n 47.0 to 49.9\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 2\n <sup>\n nd\n </sup>\n quartile (4.53 – 5.0)\n </td>\n <td>\n 50.3\n </td>\n <td>\n 48.9 to 51.6\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 3\n <sup>\n rd\n </sup>\n quartile (5.06 – 5.47)\n </td>\n <td>\n 51.3\n </td>\n <td>\n 49.9 to 52.8\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Highest quartile (5.5 – 7.0)\n </td>\n <td>\n 52.5\n </td>\n <td>\n 51.0 to 54.0\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Parameter\n \n </td>\n <td>\n \n Non-Smokers N = 24\n \n </td>\n <td>\n \n Smokers N = 11\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Body Weight (kg)\n \n </td>\n <td>\n 99.2 (91.5 – 106.9)\n </td>\n <td>\n 101 (89.6 – 112.4)\n </td>\n </tr>\n <tr>\n <td>\n \n Phase angle\n \n </td>\n <td>\n 5.70 (4.46 – 6.93)\n </td>\n <td>\n 5.12 (3.30 – 6.94)\n </td>\n </tr>\n <tr>\n <td>\n \n Vector length\n \n </td>\n <td>\n 227 (210 – 244)\n </td>\n <td>\n 202 (177 – 227)\n </td>\n </tr>\n <tr>\n <td>\n \n Fat free mass (kg)\n \n </td>\n <td>\n 74.4 (68.2 – 80.6)\n </td>\n <td>\n 81.5 (72.4 – 90.6)\n </td>\n </tr>\n <tr>\n <td>\n \n Total body water (L)\n \n </td>\n <td>\n 55.3 (50.9 – 59.8)\n </td>\n <td>\n 60.6 (54.1 – 67.1)\n </td>\n </tr>\n <tr>\n <td>\n \n Fat mass (kg)\n \n </td>\n <td>\n 25.4 (20.1 – 30.7)\n </td>\n <td>\n 21.3 (13.5 – 29.0)\n </td>\n </tr>\n <tr>\n <td>\n \n Total body potassium (mEq)\n \n </td>\n <td>\n 3981 (3650 – 4313)\n </td>\n <td>\n 4130 (3641 – 4618)\n </td>\n </tr>\n <tr>\n <td>\n \n Body cell mass (kg)\n \n </td>\n <td>\n 33.2 (30.4 – 35.9)\n </td>\n <td>\n 34.4 (30.3 – 38.5)\n </td>\n </tr>\n <tr>\n <td>\n \n Extracellular mass (kg)\n \n </td>\n <td>\n 41.3 (36.4 – 46.1)\n </td>\n <td>\n 46.9 (39.8 – 54.1)\n </td>\n </tr>\n <tr>\n <td>\n \n Intracellular water (L)\n \n </td>\n <td>\n 30.3 (27.7 – 32.8)\n </td>\n <td>\n 31.4 (27.7 – 35.1)\n </td>\n </tr>\n <tr>\n <td>\n \n Extracellular water (L)\n \n </td>\n <td>\n 25.1 (21.6 – 28.5)\n </td>\n <td>\n 29.0 (23.9 – 34.1)\n </td>\n </tr>\n <tr>\n <td>\n \n Fat free mass from Skin fold thickness (kg)\n \n </td>\n <td>\n 53.4 (50.2 – 56.6)\n </td>\n <td>\n 56.4 (51.6 – 61.2)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Variable\n \n </td>\n <td>\n \n R\n <sup>\n 2\n </sup>\n \n </td>\n <td>\n \n Standardized Beta\n \n </td>\n <td>\n \n P value\n \n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n \n SF-36 Physical Health Summary Scale, Total Model R\n <sup>\n 2\n </sup>\n = 0.33, p < 0.0001*\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n PRWE specific†\n </td>\n <td>\n 0.28\n </td>\n <td>\n -0.27\n </td>\n <td>\n 0.0001\n </td>\n </tr>\n <tr>\n <td>\n PRWE pain\n </td>\n <td>\n 0.31\n </td>\n <td>\n -0.23\n </td>\n <td>\n 0.0001\n </td>\n </tr>\n <tr>\n <td>\n PRWE usual\n </td>\n <td>\n 0.33\n </td>\n <td>\n -0.15\n </td>\n <td>\n 0.0001\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n \n SF-36 Mental Health Summary Scale, Total Model R\n <sup>\n 2\n </sup>\n = 0.10, p < 0.0001§\n \n </td>\n </tr>\n <tr>\n <td>\n PRWE pain\n </td>\n <td>\n 0.08\n </td>\n <td>\n -0.18\n </td>\n <td>\n 0.0001\n </td>\n </tr>\n <tr>\n <td>\n PRWE usual\n </td>\n <td>\n 0.10\n </td>\n <td>\n -0.17\n </td>\n <td>\n 0.0001\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n ANTIBODY\n \n </td>\n <td>\n \n HUMAN BLOOD GRANULOCYTES\n \n </td>\n <td>\n \n MOUSE BLOOD GRANULOCYTES\n \n </td>\n <td>\n \n MOUSE MPRO CELLS**\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n dimethyl H3K9\n </td>\n <td>\n + N\n </td>\n <td>\n + N\n </td>\n <td>\n + N\n </td>\n </tr>\n <tr>\n <td>\n trimethyl H3K9\n </td>\n <td>\n + N g\n </td>\n <td>\n + N p\n </td>\n <td>\n + N p\n </td>\n </tr>\n <tr>\n <td>\n monomethyl H3K27\n </td>\n <td>\n + N\n </td>\n <td>\n + N\n </td>\n <td>\n + N\n </td>\n </tr>\n <tr>\n <td>\n dimethyl H3K27\n </td>\n <td>\n + N\n </td>\n <td>\n + N\n </td>\n <td>\n + N\n </td>\n </tr>\n <tr>\n <td>\n trimethyl H3K27\n </td>\n <td>\n + N\n </td>\n <td>\n + N\n </td>\n <td>\n + N\n </td>\n </tr>\n <tr>\n <td>\n dimethyl H4K20\n </td>\n <td>\n +/- N, C\n </td>\n <td>\n +/- N\n </td>\n <td>\n +/- N\n </td>\n </tr>\n <tr>\n <td>\n trimethyl H4K20\n </td>\n <td>\n + N, C\n </td>\n <td>\n + N p\n </td>\n <td>\n + N p\n </td>\n </tr>\n <tr>\n <td>\n HP1 α\n </td>\n <td>\n 0\n <sup>\n ‡\n </sup>\n </td>\n <td>\n 0\n </td>\n <td>\n +/- N, C\n </td>\n </tr>\n <tr>\n <td>\n HP1 β\n </td>\n <td>\n 0\n <sup>\n ‡\n </sup>\n </td>\n <td>\n 0\n </td>\n <td>\n +/- N, C\n </td>\n </tr>\n <tr>\n <td>\n HP1 γ\n </td>\n <td>\n +/- N, C\n </td>\n <td>\n + N p\n </td>\n <td>\n + N p\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Health and health care indicators\n \n </td>\n <td>\n \n Socioeconomic indicators\n \n </td>\n <td>\n \n Monitoring frequency\n \n </td>\n <td>\n \n Data sources\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n 1. Mortality (by gender and age groups):\n \n all causes, cardiovascular diseases, malignant neoplasms, external causes, respiratory diseases, other causes\n </td>\n <td>\n Place of residence: urban – rural\n </td>\n <td>\n Annually\n </td>\n <td>\n Mortality register\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Administrative regions\n </td>\n <td>\n Every 3 yrs\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Education\n </td>\n <td>\n Every 10 yrs, based on census data\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Marital status\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n 2. Life expectancy\n \n </td>\n <td>\n Place of residence: urban – rural\n </td>\n <td>\n Annually\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Administrative regions\n </td>\n <td>\n Every 3 yrs\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n 3. Avoidable mortality\n \n </td>\n <td>\n Place of residence: urban – rural\n </td>\n <td>\n Every 5 yrs\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Administrative regions\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n 4. Low birth weight newborns and stillbirths\n \n </td>\n <td>\n Mothers' education\n </td>\n <td>\n Every 3 yrs\n </td>\n <td>\n Newborn register\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Mothers marital status\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n 5. Health behavior of adult population (by gender and age groups):\n \n Self-assessed health; outpatient visits per year; stress during the last month; depression; oral health; smoking; alcohol use; nutrition; physical activity; traffic safety\n </td>\n <td>\n Education\n </td>\n <td>\n Every 4 yrs\n </td>\n <td>\n Health behavior Monitoring among the adult Population\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Place of residence: urban/rural\n </td>\n <td>\n Every 2 yrs\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Income\n </td>\n <td>\n Every 2 yrs\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n 6. Health behavior of schoolchildren (by gender):\n \n Self-assessed health; outpatient visits per year; stress during the last month; depression; oral health; smoking; alcohol use; drug use; nutrition; physical activity; traffic safety\n </td>\n <td>\n Family well-being index\n </td>\n <td>\n Every 2 – 4 yrs\n </td>\n <td>\n Health behavior monitoring in schoolchildren\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Parents' profession\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Place of residency\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n 7. Health care accessibility\n \n </td>\n <td>\n Profession\n </td>\n <td>\n Every 3 yrs\n </td>\n <td>\n Surveys on representative samples of the population\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Education\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Variable\n \n </td>\n <td>\n \n Mean ± SD\n \n </td>\n <td>\n \n Minimum–maximum\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age (years)\n </td>\n <td>\n 44 ± 8.4\n </td>\n <td>\n 24 to 64\n </td>\n </tr>\n <tr>\n <td>\n Education (years)\n </td>\n <td>\n 8 ± 2.8\n </td>\n <td>\n 0 to 13\n </td>\n </tr>\n <tr>\n <td>\n Years employed\n </td>\n <td>\n 20 ± 5.3\n </td>\n <td>\n 4 to 26\n </td>\n </tr>\n <tr>\n <td>\n Current alcohol users (%)\n </td>\n <td>\n 60\n </td>\n <td>\n —\n </td>\n </tr>\n <tr>\n <td>\n Current smokers (%)\n </td>\n <td>\n 14\n </td>\n <td>\n —\n </td>\n </tr>\n <tr>\n <td>\n PbB (μg Pb/dL)\n </td>\n <td>\n 26 ± 7.1\n </td>\n <td>\n 13 to 43\n </td>\n </tr>\n <tr>\n <td>\n IBL (μg-year/dL)\n </td>\n <td>\n 891 ± 298.8\n </td>\n <td>\n 81 to 1,376\n </td>\n </tr>\n <tr>\n <td>\n TWA (μg Pb/dL)\n </td>\n <td>\n 42 ± 8.4\n </td>\n <td>\n 17 to 57\n </td>\n </tr>\n <tr>\n <td>\n PbBn (μg Pb/g bone mineral)\n </td>\n <td>\n 40 ± 23.8\n </td>\n <td>\n −12 to 90\n </td>\n </tr>\n <tr>\n <td>\n CPT\n <sub>\n 2000\n </sub>\n Hz (mA)\n </td>\n <td>\n 330 ± 72.4\n </td>\n <td>\n 180 to 512\n </td>\n </tr>\n <tr>\n <td>\n CPT\n <sub>\n 250\n </sub>\n Hz (mA)\n </td>\n <td>\n 134 ± 50.5\n </td>\n <td>\n 32 to 278\n </td>\n </tr>\n <tr>\n <td>\n CPT\n <sub>\n 5\n </sub>\n Hz (mA)\n </td>\n <td>\n 83 ± 37.9\n </td>\n <td>\n 16 to 190\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Response\n \n </td>\n <td>\n \n No.\n \n </td>\n <td>\n \n Speciated arsenic GM (GSD)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Sex\n </td>\n <td>\n Female\n </td>\n <td>\n 40\n </td>\n <td>\n 3.80 (2.46)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Male\n </td>\n <td>\n 37\n </td>\n <td>\n 4.25 (2.00)\n </td>\n </tr>\n <tr>\n <td>\n Visited a house/building with ongoing renovations?\n </td>\n <td>\n Yes\n </td>\n <td>\n 6\n </td>\n <td>\n 7.93 (1.62)*\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n No\n </td>\n <td>\n 68\n </td>\n <td>\n 3.76 (2.21)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Don’t know\n </td>\n <td>\n 1\n </td>\n <td>\n 5.75 (—)\n </td>\n </tr>\n <tr>\n <td>\n Limit child’s exposure to soil or dust?\n </td>\n <td>\n Yes\n </td>\n <td>\n 5\n </td>\n <td>\n 2.18 (2.76)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n No\n </td>\n <td>\n 71\n </td>\n <td>\n 4.12 (2.17)\n </td>\n </tr>\n <tr>\n <td>\n Play near creeks?\n </td>\n <td>\n Yes\n </td>\n <td>\n 10\n </td>\n <td>\n 4.23 (2.46)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n No\n </td>\n <td>\n 67\n </td>\n <td>\n 3.98 (2.22)\n </td>\n </tr>\n <tr>\n <td>\n Spent time at local orchard or produce farm?\n </td>\n <td>\n Yes\n </td>\n <td>\n 3\n </td>\n <td>\n 5.43 (1.04)*\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n No\n </td>\n <td>\n 73\n </td>\n <td>\n 3.96 (2.28)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Characteristic\n \n </td>\n <td>\n \n All\n \n </td>\n <td>\n \n Nonatopic\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n p\n \n ,\n \n p\n \n ′-DDEa\n </td>\n <td>\n 1.32 (1.13–1.54)\n </td>\n <td>\n 1.30 (1.05.1.62)\n </td>\n </tr>\n <tr>\n <td>\n Maternal asthma\n </td>\n <td>\n 2.62 (1.46–4.71)\n </td>\n <td>\n 3.45 (1.18–10.10)\n </td>\n </tr>\n <tr>\n <td>\n Maternal smoking\n </td>\n <td>\n 1.48 (0.89–2.47)\n </td>\n <td>\n 1.03 (0.51–2.10)\n </td>\n </tr>\n <tr>\n <td>\n Parity (≥ second child)\n </td>\n <td>\n 1.18 (0.69–2.02)\n </td>\n <td>\n 1.54 (0.74–3.24)\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n Maternal education\n </td>\n </tr>\n <tr>\n <td>\n Primary\n </td>\n <td>\n 0.62 (0.26–1.46)\n </td>\n <td>\n 0.36 (0.13–1.04)\n </td>\n </tr>\n <tr>\n <td>\n Secondary\n </td>\n <td>\n 0.80 (0.32–1.98)\n </td>\n <td>\n 0.37 (0.11–1.19)\n </td>\n </tr>\n <tr>\n <td>\n High\n </td>\n <td>\n 0.29 (0.08–1.12)\n </td>\n <td>\n 0.17 (0.03–0.89)\n </td>\n </tr>\n <tr>\n <td>\n Male\n </td>\n <td>\n 2.03 (1.15–3.57)\n </td>\n <td>\n 2.84 (1.21–6.68)\n </td>\n </tr>\n <tr>\n <td>\n Gestational age (weeks)\n </td>\n <td>\n 0.87 (0.81–0.95)\n </td>\n <td>\n 0.90 (0.82–1.00)\n </td>\n </tr>\n <tr>\n <td>\n Breast-feeding\n </td>\n <td>\n 0.57 (0.33–0.99)\n </td>\n <td>\n 0.34 (0.17–0.69)\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n \n p\n \n ,\n \n p\n \n ′-DDE in quartile (ng/mL)b\n </td>\n </tr>\n <tr>\n <td>\n < 0.57\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n 0.57–1.03\n </td>\n <td>\n 1.00 (0.41–2.43)\n </td>\n <td>\n 1.32 (0.37–4.70)\n </td>\n </tr>\n <tr>\n <td>\n 1.03–1.90\n </td>\n <td>\n 1.62 (0.70–3.74)\n </td>\n <td>\n 2.63 (0.96–7.20)\n </td>\n </tr>\n <tr>\n <td>\n > 1.90\n </td>\n <td>\n 2.36 (1.19–4.69)\n </td>\n <td>\n 2.49 (1.00–6.19)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n DBP (μg/L)\n \n </td>\n <td>\n \n GW 25–28\n \n </td>\n <td>\n \n GW 29–32\n \n </td>\n <td>\n \n GW 33–36\n \n </td>\n <td>\n \n GW 37–40\n \n </td>\n <td>\n \n GW 41–44\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"6\">\n Intrauterine growth retardationa\n </td>\n </tr>\n <tr>\n <td>\n HAA5 (\n \n n\n \n )\n </td>\n <td>\n 14,350\n </td>\n <td>\n 14,953\n </td>\n <td>\n 15,414\n </td>\n <td>\n 14,929\n </td>\n <td>\n 2,634\n </td>\n </tr>\n <tr>\n <td>\n < 14\n </td>\n <td>\n —\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 14–19\n </td>\n <td>\n 1.02 (0.89–1.17)\n </td>\n <td>\n 1.00 (0.86–1.13)\n </td>\n <td>\n 0.93 (0.81–1.06)\n </td>\n <td>\n 0.99 (0.86–1.13)\n </td>\n <td>\n 1.22 (0.86–1.72)\n </td>\n </tr>\n <tr>\n <td>\n ≥19\n </td>\n <td>\n 1.12 (0.98–1.29)\n </td>\n <td>\n 1.11 (0.98–1.27)\n </td>\n <td>\n 1.00 (0.88–1.14)\n </td>\n <td>\n 0.98 (0.85–1.13)\n </td>\n <td>\n 0.91 (0.63–1.33)\n </td>\n </tr>\n <tr>\n <td>\n Continuous\n </td>\n <td>\n 1.01 (1.00–1.01)\n </td>\n <td>\n 1.01 (1.00–1.01)\n </td>\n <td>\n 1.00 (0.99–1.01)\n </td>\n <td>\n 1.00 (0.99–1.01)\n </td>\n <td>\n 1.00 (0.98–1.01)\n </td>\n </tr>\n <tr>\n <td>\n DBAA (\n \n n\n \n )b\n </td>\n <td>\n 9,576\n </td>\n <td>\n 10,302\n </td>\n <td>\n 10,945\n </td>\n <td>\n 10,875\n </td>\n <td>\n 1,913\n </td>\n </tr>\n <tr>\n <td>\n < 3\n </td>\n <td>\n —\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 3.5–5\n </td>\n <td>\n 1.00 (0.84–1.18)\n </td>\n <td>\n 0.97 (0.82–1.14)\n </td>\n <td>\n 1.14 (0.97–1.34)\n </td>\n <td>\n 0.95 (0.81–1.12)\n </td>\n <td>\n 1.23 (0.82–1.85)\n </td>\n </tr>\n <tr>\n <td>\n ≥5\n </td>\n <td>\n 1.15 (0.98–1.35)\n </td>\n <td>\n 1.06 (0.91–1.24)\n </td>\n <td>\n 1.08 (0.93–1.27)\n </td>\n <td>\n 0.90 (0.77–1.06)\n </td>\n <td>\n 0.91 (0.60–1.40)\n </td>\n </tr>\n <tr>\n <td>\n Continuous\n </td>\n <td>\n 1.06 (1.01–1.12)\n </td>\n <td>\n 1.03 (0.99–1.08)\n </td>\n <td>\n 1.01 (0.96–1.06)\n </td>\n <td>\n 0.99 (0.94–1.04)\n </td>\n <td>\n 0.97 (0.85–1.10)\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n DCAA\n </td>\n </tr>\n <tr>\n <td>\n < 6\n </td>\n <td>\n —\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 6–8\n </td>\n <td>\n 1.00 (0.85–1.18)\n </td>\n <td>\n 1.06 (0.90–1.25)\n </td>\n <td>\n 0.92 (0.78–1.08)\n </td>\n <td>\n 1.00 (0.85–1.18)\n </td>\n <td>\n 1.51 (0.98–2.32)\n </td>\n </tr>\n <tr>\n <td>\n ≥8\n </td>\n <td>\n 1.04 (0.85–1.29)\n </td>\n <td>\n 1.11 (0.90–1.35)\n </td>\n <td>\n 1.03 (0.84–1.26)\n </td>\n <td>\n 1.27 (1.02–1.59)\n </td>\n <td>\n 1.41 (0.85–2.33)\n </td>\n </tr>\n <tr>\n <td>\n Continuous\n </td>\n <td>\n 1.02 (0.99–1.04)\n </td>\n <td>\n 1.03 (1.01–1.05)\n </td>\n <td>\n 1.03 (1.01–1.05)\n </td>\n <td>\n 1.03 (1.01–1.05)\n </td>\n <td>\n 1.03 (0.98–1.08)\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n TCAA\n </td>\n </tr>\n <tr>\n <td>\n < 4\n </td>\n <td>\n —\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 4–6\n </td>\n <td>\n 0.96 (0.81–1.14)\n </td>\n <td>\n 1.05 (0.89–1.24)\n </td>\n <td>\n 0.91 (0.78–1.07)\n </td>\n <td>\n 1.12 (0.95–1.32)\n </td>\n <td>\n 1.58 (1.02–2.46)\n </td>\n </tr>\n <tr>\n <td>\n ≥6\n </td>\n <td>\n 1.01 (0.86–1.19)\n </td>\n <td>\n 1.15 (0.98–1.34)\n </td>\n <td>\n 1.07 (0.92–1.24)\n </td>\n <td>\n 1.15 (0.98–1.35)\n </td>\n <td>\n 1.48 (0.96–2.31)\n </td>\n </tr>\n <tr>\n <td>\n Continuous\n </td>\n <td>\n 1.01 (1.00–1.03)\n </td>\n <td>\n 1.02 (1.01–1.04)\n </td>\n <td>\n 1.03 (1.01–1.05)\n </td>\n <td>\n 1.02 (1.01–1.04)\n </td>\n <td>\n 1.02 (0.98–1.06)\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n Term low birth weightc\n </td>\n </tr>\n <tr>\n <td>\n HAA5 (\n \n n\n \n )\n </td>\n <td>\n 13,981\n </td>\n <td>\n 14,593\n </td>\n <td>\n 15,195\n </td>\n <td>\n 15,780\n </td>\n <td>\n 2,755\n </td>\n </tr>\n <tr>\n <td>\n < 14\n </td>\n <td>\n —\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 14–19\n </td>\n <td>\n 0.91 (0.69–1.18)\n </td>\n <td>\n 1.04 (0.79–1.36)\n </td>\n <td>\n 1.04 (0.80–1.36)\n </td>\n <td>\n 1.12 (0.87–1.44)\n </td>\n <td>\n 0.74 (0.28–1.98)\n </td>\n </tr>\n <tr>\n <td>\n ≥19\n </td>\n <td>\n 1.05 (0.81–1.36)\n </td>\n <td>\n 1.30 (1.00–1.69)\n </td>\n <td>\n 1.20 (0.93–1.55)\n </td>\n <td>\n 1.08 (0.83–1.40)\n </td>\n <td>\n 1.03 (0.39–2.72)\n </td>\n </tr>\n <tr>\n <td>\n Continuous\n </td>\n <td>\n 1.01 (0.99–1.02)\n </td>\n <td>\n 1.01 (1.00–1.02)\n </td>\n <td>\n 1.00 (1.01–1.02)\n </td>\n <td>\n 1.00 (0.99–1.02)\n </td>\n <td>\n 0.99 (0.95–1.04)\n </td>\n </tr>\n <tr>\n <td>\n DBAA (\n \n n\n \n )b\n </td>\n <td>\n 9,312\n </td>\n <td>\n 10,043\n </td>\n <td>\n 10,778\n </td>\n <td>\n 11,484\n </td>\n <td>\n 2,003\n </td>\n </tr>\n <tr>\n <td>\n < 3\n </td>\n <td>\n —\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 3.5–5\n </td>\n <td>\n 0.97 (0.69–1.35)\n </td>\n <td>\n 1.05 (0.77–1.45)\n </td>\n <td>\n 1.29 (0.94–1.79)\n </td>\n <td>\n 1.38 (1.02–1.86)\n </td>\n <td>\n 0.99 (0.34–2.85)\n </td>\n </tr>\n <tr>\n <td>\n ≥5\n </td>\n <td>\n 1.16 (0.86–1.58)\n </td>\n <td>\n 1.18 (0.87–1.61)\n </td>\n <td>\n 1.49 (1.10–2.02)\n </td>\n <td>\n 1.22 (0.90–1.66)\n </td>\n <td>\n 0.38 (0.10–1.43)\n </td>\n </tr>\n <tr>\n <td>\n Continuous\n </td>\n <td>\n 1.03 (0.94–1.12)\n </td>\n <td>\n 1.07 (0.98–1.17)\n </td>\n <td>\n 1.11 (1.01–1.21)\n </td>\n <td>\n 1.10 (1.01–1.20)\n </td>\n <td>\n 0.88 (0.62–1.23)\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n DCAA\n </td>\n </tr>\n <tr>\n <td>\n < 6\n </td>\n <td>\n —\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n —\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 6–8\n </td>\n <td>\n 0.80 (0.58–1.09)\n </td>\n <td>\n 0.84 (0.61–1.15)\n </td>\n <td>\n 0.94 (0.69–1.27)\n </td>\n <td>\n 0.98 (0.74–1.32)\n </td>\n <td>\n 0.45 (0.13–1.60)\n </td>\n </tr>\n <tr>\n <td>\n ≥8\n </td>\n <td>\n 0.87 (0.64–1.18)\n </td>\n <td>\n 0.99 (0.74–1.32)\n </td>\n <td>\n 0.98 (0.73–1.30)\n </td>\n <td>\n 0.91 (0.68–1.21)\n </td>\n <td>\n 0.93 (0.33–2.57)\n </td>\n </tr>\n <tr>\n <td>\n Continuous\n </td>\n <td>\n 1.01 (0.97–1.05)\n </td>\n <td>\n 1.02 (0.98–1.06)\n </td>\n <td>\n 1.00 (0.96–1.04)\n </td>\n <td>\n 1.01 (0.97–1.05)\n </td>\n <td>\n 0.94 (0.81–1.09)\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n TCAA\n </td>\n </tr>\n <tr>\n <td>\n < 4\n </td>\n <td>\n —\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 4–6\n </td>\n <td>\n 0.79 (0.57–1.09)\n </td>\n <td>\n 0.91 (0.67–1.24)\n </td>\n <td>\n 1.05 (0.77–1.42)\n </td>\n <td>\n 1.15 (0.86–1.53)\n </td>\n <td>\n 0.40 (0.11–1.30)\n </td>\n </tr>\n <tr>\n <td>\n ≥6\n </td>\n <td>\n 0.89 (0.66–1.20)\n </td>\n <td>\n 0.98 (0.73–1.33)\n </td>\n <td>\n 1.05 (0.78–1.41)\n </td>\n <td>\n 0.93 (0.69–1.25)\n </td>\n <td>\n 0.64 (0.23–1.79)\n </td>\n </tr>\n <tr>\n <td>\n Continuous\n </td>\n <td>\n 1.01 (0.98–1.05)\n </td>\n <td>\n 1.01 (0.98–1.04)\n </td>\n <td>\n 1.00 (0.96–1.03)\n </td>\n <td>\n 1.00 (0.96–1.03)\n </td>\n <td>\n 0.93 (0.80–1.09)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"4\">\n \n Eastside Detroit\n \n </td>\n <td colspan=\"4\">\n \n Northwest Detroit\n \n </td>\n <td colspan=\"4\">\n \n Southwest Detroit\n \n </td>\n <td colspan=\"4\">\n \n Total\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n \n Goal\n \n </td>\n <td colspan=\"2\">\n \n Actual\n \n </td>\n <td colspan=\"2\">\n \n Goal\n \n </td>\n <td colspan=\"2\">\n \n Actual\n \n </td>\n <td colspan=\"2\">\n \n Goal\n \n </td>\n <td colspan=\"2\">\n \n Actual\n \n </td>\n <td colspan=\"2\">\n \n Goal\n \n </td>\n <td colspan=\"2\">\n \n Actual\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n APa\n \n </td>\n <td>\n \n BP\n \n </td>\n <td>\n \n AP\n \n </td>\n <td>\n \n BP\n \n </td>\n <td>\n \n AP\n \n </td>\n <td>\n \n BP\n \n </td>\n <td>\n \n AP\n \n </td>\n <td>\n \n BP\n \n </td>\n <td>\n \n AP\n \n </td>\n <td>\n \n BP\n \n </td>\n <td>\n \n AP\n \n </td>\n <td>\n \n BP\n \n </td>\n <td>\n \n AP\n \n </td>\n <td>\n \n BP\n \n </td>\n <td>\n \n AP\n \n </td>\n <td>\n \n BP\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Non-Hispanic black\n </td>\n <td>\n 134\n </td>\n <td>\n 133\n </td>\n <td>\n 132\n </td>\n <td>\n 126\n </td>\n <td>\n 67\n </td>\n <td>\n 67\n </td>\n <td>\n 102\n </td>\n <td>\n 60\n </td>\n <td>\n 66\n </td>\n <td>\n 67\n </td>\n <td>\n 49\n </td>\n <td>\n 42\n </td>\n <td>\n 267\n </td>\n <td>\n 267\n </td>\n <td>\n 283\n </td>\n <td>\n 228\n </td>\n </tr>\n <tr>\n <td>\n Hispanic\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 2\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 100\n </td>\n <td>\n 100\n </td>\n <td>\n 90\n </td>\n <td>\n 87\n </td>\n <td>\n 100\n </td>\n <td>\n 100\n </td>\n <td>\n 91\n </td>\n <td>\n 89\n </td>\n </tr>\n <tr>\n <td>\n Non-Hispanic white\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 2\n </td>\n <td>\n 0\n </td>\n <td>\n 66\n </td>\n <td>\n 67\n </td>\n <td>\n 63\n </td>\n <td>\n 30\n </td>\n <td>\n 67\n </td>\n <td>\n 66\n </td>\n <td>\n 50\n </td>\n <td>\n 49\n </td>\n <td>\n 133\n </td>\n <td>\n 133\n </td>\n <td>\n 115\n </td>\n <td>\n 79\n </td>\n </tr>\n <tr>\n <td>\n Other\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 3\n </td>\n <td>\n 5\n </td>\n <td>\n 0\n </td>\n <td>\n </td>\n <td>\n 6\n </td>\n <td>\n 8\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 10\n </td>\n <td>\n 14\n </td>\n </tr>\n <tr>\n <td>\n Subtotal\n </td>\n <td>\n 134\n </td>\n <td>\n 133\n </td>\n <td>\n 135\n </td>\n <td>\n 129\n </td>\n <td>\n 133\n </td>\n <td>\n 134\n </td>\n <td>\n 169\n </td>\n <td>\n 95\n </td>\n <td>\n 233\n </td>\n <td>\n 233\n </td>\n <td>\n 195\n </td>\n <td>\n 186\n </td>\n <td>\n 500\n </td>\n <td>\n 500\n </td>\n <td>\n 499\n </td>\n <td>\n 410\n </td>\n </tr>\n <tr>\n <td>\n Missinga\n </td>\n <td>\n —\n </td>\n <td>\n </td>\n <td>\n 3\n </td>\n <td>\n </td>\n <td>\n —\n </td>\n <td>\n </td>\n <td>\n 4\n </td>\n <td>\n </td>\n <td>\n —\n </td>\n <td>\n </td>\n <td>\n 3\n </td>\n <td>\n </td>\n <td>\n —\n </td>\n <td>\n </td>\n <td>\n 8\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 267\n </td>\n <td>\n </td>\n <td>\n 267\n </td>\n <td>\n </td>\n <td>\n 267\n </td>\n <td>\n </td>\n <td>\n 268\n </td>\n <td>\n </td>\n <td>\n 466\n </td>\n <td>\n </td>\n <td>\n 384\n </td>\n <td>\n </td>\n <td>\n 1,000\n </td>\n <td>\n </td>\n <td>\n 917\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"3\">\n \n Included reports (%), n = 8\n \n </td>\n <td colspan=\"3\">\n \n Reports that would have been eligible without requirement of child-specific priorities (%), n = 20\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Yes\n \n </td>\n <td>\n \n No\n \n </td>\n <td>\n \n Unclear\n \n </td>\n <td>\n \n Yes\n \n </td>\n <td>\n \n No\n \n </td>\n <td>\n \n Unclear\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Researchers\n </td>\n <td>\n 6 (75)\n </td>\n <td>\n 1 (12.5)\n </td>\n <td>\n 1 (12.5)\n </td>\n <td>\n 16 (80)\n </td>\n <td>\n 2 (10)\n </td>\n <td>\n 2 (10)\n </td>\n </tr>\n <tr>\n <td>\n Institutions of learning\n </td>\n <td>\n 5 (62.5)\n </td>\n <td>\n 2 (25)\n </td>\n <td>\n 1 (12.5)\n </td>\n <td>\n 15 (75)\n </td>\n <td>\n 3 (15)\n </td>\n <td>\n 2 (10)\n </td>\n </tr>\n <tr>\n <td>\n Health managers\n </td>\n <td>\n 6 (75)\n </td>\n <td>\n 1 (12.5)\n </td>\n <td>\n 1 (12.5)\n </td>\n <td>\n 16 (80)\n </td>\n <td>\n 2 (10)\n </td>\n <td>\n 2 (10)\n </td>\n </tr>\n <tr>\n <td>\n Policy makers\n </td>\n <td>\n 6 (75)\n </td>\n <td>\n 1 (12.5)\n </td>\n <td>\n 1 (12.5)\n </td>\n <td>\n 17 (85)\n </td>\n <td>\n 2 (10)\n </td>\n <td>\n 1 (5)\n </td>\n </tr>\n <tr>\n <td>\n Non-governmental organisations\n </td>\n <td>\n 3 (37.5)\n </td>\n <td>\n 4 (50)\n </td>\n <td>\n 1 (12.5)\n </td>\n <td>\n 12 (60)\n </td>\n <td>\n 6 (30)\n </td>\n <td>\n 2 (10)\n </td>\n </tr>\n <tr>\n <td>\n Consumers\n </td>\n <td>\n 2 (25)\n </td>\n <td>\n 5 (62.5)\n </td>\n <td>\n 1 (12.5)\n </td>\n <td>\n 9 (45)\n </td>\n <td>\n 9 (45)\n </td>\n <td>\n 2 (10)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Slider Value\n \n </td>\n <td>\n \n Limit Description\n \n </td>\n <td>\n \n PubMed Filter Algorithm\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 0\n </td>\n <td>\n Default\n </td>\n <td>\n No change in details\n </td>\n </tr>\n <tr>\n <td>\n 1–14\n </td>\n <td>\n Mapped keywords searched in Title and Abstract\n </td>\n <td>\n Keyword[Text Word] → Keyword[TIAB]\n </td>\n </tr>\n <tr>\n <td>\n 15–29\n </td>\n <td>\n \n ANY\n \n Mapped MeSH Terms required\n </td>\n <td>\n TIABDetails +\n \n AND\n \n (MH\n \n OR\n \n MH)\n </td>\n </tr>\n <tr>\n <td>\n 30–44\n </td>\n <td>\n \n ANY\n \n Mapped MeSH Terms required but with no tree explosion\n </td>\n <td>\n TIABDetails +\n \n AND\n \n (MH:noexp\n \n OR\n \n MH:noexp)\n </td>\n </tr>\n <tr>\n <td>\n 45–59\n </td>\n <td>\n \n ALL\n \n Mapped MeSH Terms required\n </td>\n <td>\n TIABDetails +\n \n AND\n \n (MH\n \n AND\n \n MH)\n </td>\n </tr>\n <tr>\n <td>\n 60–74\n </td>\n <td>\n \n ANY\n \n Mapped MeSH Terms should be MAJOR topic\n </td>\n <td>\n TIABDetails +\n \n AND\n \n (MH[MAJR]\n \n OR\n \n MH[MAJR])\n </td>\n </tr>\n <tr>\n <td>\n 75–89\n </td>\n <td>\n \n ALL\n \n Mapped MeSH Terms required but with no tree explosion\n </td>\n <td>\n TIABDetails +\n \n AND\n \n (MH:noexp\n \n AND\n \n MH:noexp)\n </td>\n </tr>\n <tr>\n <td>\n 90–100\n </td>\n <td>\n \n ALL\n \n Mapped MeSH Terms should be MAJOR topic\n </td>\n <td>\n TIABDetails +\n \n AND\n \n (MH[MAJR]\n \n AND\n \n MH[MAJR])\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n SN\n \n </td>\n <td>\n \n Age/sex\n \n </td>\n <td>\n \n PTA (.5, 1 and 2 KHz)\n \n </td>\n <td>\n \n Speech identification scores\n \n </td>\n <td>\n \n OAE\n \n </td>\n <td>\n \n ABR\n \n </td>\n <td>\n \n Acoustic reflex\n \n </td>\n <td>\n \n Efferent suppression\n \n </td>\n <td>\n \n Configuration\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 1\n </td>\n <td>\n 16/F\n </td>\n <td>\n 45.00\n </td>\n <td>\n 45.00\n </td>\n <td>\n Present\n </td>\n <td>\n Absent\n </td>\n <td>\n Absent\n </td>\n <td>\n 0.2\n </td>\n <td>\n Raising\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 16/M\n </td>\n <td>\n 13.00\n </td>\n <td>\n 84.00\n </td>\n <td>\n Present\n </td>\n <td>\n absent\n </td>\n <td>\n Absent\n </td>\n <td>\n 0.0\n </td>\n <td>\n Peaked\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 30/M\n </td>\n <td>\n 23.00\n </td>\n <td>\n 80.00\n </td>\n <td>\n Present\n </td>\n <td>\n absent\n </td>\n <td>\n Absent\n </td>\n <td>\n 0.4\n </td>\n <td>\n Peaked\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n 24/F\n </td>\n <td>\n 25.00\n </td>\n <td>\n 38.00\n </td>\n <td>\n Present\n </td>\n <td>\n absent\n </td>\n <td>\n Absent\n </td>\n <td>\n 0.0\n </td>\n <td>\n Peaked\n </td>\n </tr>\n <tr>\n <td>\n 5\n </td>\n <td>\n 16/M\n </td>\n <td>\n 40.00\n </td>\n <td>\n .00\n </td>\n <td>\n Present\n </td>\n <td>\n absent\n </td>\n <td>\n Absent\n </td>\n <td>\n 0.1\n </td>\n <td>\n Raising\n </td>\n </tr>\n <tr>\n <td>\n 6\n </td>\n <td>\n 26/M\n </td>\n <td>\n 45.00\n </td>\n <td>\n 4.00\n </td>\n <td>\n Present\n </td>\n <td>\n absent\n </td>\n <td>\n Absent\n </td>\n <td>\n 0.0\n </td>\n <td>\n Raising\n </td>\n </tr>\n <tr>\n <td>\n 7\n </td>\n <td>\n 23/F\n </td>\n <td>\n 45.00\n </td>\n <td>\n 5.00\n </td>\n <td>\n Present\n </td>\n <td>\n absent\n </td>\n <td>\n Absent\n </td>\n <td>\n 0.0\n </td>\n <td>\n Raising\n </td>\n </tr>\n <tr>\n <td>\n 8\n </td>\n <td>\n 23/M\n </td>\n <td>\n 75.00\n </td>\n <td>\n .00\n </td>\n <td>\n Present\n </td>\n <td>\n absent\n </td>\n <td>\n Absent\n </td>\n <td>\n 0.1\n </td>\n <td>\n Flat\n </td>\n </tr>\n <tr>\n <td>\n 9\n </td>\n <td>\n 27/M\n </td>\n <td>\n 20.00\n </td>\n <td>\n 50.00\n </td>\n <td>\n Present\n </td>\n <td>\n absent\n </td>\n <td>\n Absent\n </td>\n <td>\n 0.0\n </td>\n <td>\n Peaked\n </td>\n </tr>\n <tr>\n <td>\n 10\n </td>\n <td>\n 23/M\n </td>\n <td>\n 40.00\n </td>\n <td>\n 86.00\n </td>\n <td>\n Present\n </td>\n <td>\n absent\n </td>\n <td>\n Absent\n </td>\n <td>\n 0.3\n </td>\n <td>\n Peaked\n </td>\n </tr>\n <tr>\n <td>\n 11\n </td>\n <td>\n 24/M\n </td>\n <td>\n 23.00\n </td>\n <td>\n 8.00\n </td>\n <td>\n Present\n </td>\n <td>\n absent\n </td>\n <td>\n Absent\n </td>\n <td>\n 0.0\n </td>\n <td>\n Peaked\n </td>\n </tr>\n <tr>\n <td>\n 12\n </td>\n <td>\n 25/F\n </td>\n <td>\n 45.00\n </td>\n <td>\n .00\n </td>\n <td>\n Present\n </td>\n <td>\n absent\n </td>\n <td>\n Absent\n </td>\n <td>\n 0.0\n </td>\n <td>\n Raising\n </td>\n </tr>\n <tr>\n <td>\n 13\n </td>\n <td>\n 28/M\n </td>\n <td>\n 5.00\n </td>\n <td>\n 90.00\n </td>\n <td>\n Present\n </td>\n <td>\n absent\n </td>\n <td>\n Absent\n </td>\n <td>\n 0.3\n </td>\n <td>\n Peaked\n </td>\n </tr>\n <tr>\n <td>\n 14\n </td>\n <td>\n 25/F\n </td>\n <td>\n 10.00\n </td>\n <td>\n 95.00\n </td>\n <td>\n Present\n </td>\n <td>\n absent\n </td>\n <td>\n Absent\n </td>\n <td>\n 0.2\n </td>\n <td>\n Peaked\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n CNE\n \n </td>\n <td>\n \n Location in Bac clone AC004039.1\n \n </td>\n <td>\n \n SNP\n \n </td>\n <td>\n \n Location in Bac clone AC004039.1\n \n </td>\n <td colspan=\"3\">\n \n Population\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n AA\n \n </td>\n <td>\n \n EA\n \n </td>\n <td>\n \n HT\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n CNE-A\n </td>\n <td>\n 48566–48741\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SNP1-C/T\n </td>\n <td>\n 43038\n </td>\n <td>\n 3\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n CNE-B^\n </td>\n <td>\n 42346–42674\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n CNE-C\n </td>\n <td>\n 32694–33033\n </td>\n <td>\n SNP2-C/T\n </td>\n <td>\n 32711\n </td>\n <td>\n 6\n </td>\n <td>\n 3\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SNP3-C/T\n </td>\n <td>\n 31971\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SNP4-G/A\n </td>\n <td>\n 31695\n </td>\n <td>\n 1\n </td>\n <td>\n 3\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n CNE-D\n </td>\n <td>\n 31406–31590\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SNP5-T/C\n </td>\n <td>\n 21794\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n CNE-E\n </td>\n <td>\n 21595–21737\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SNP6-C/T\n </td>\n <td>\n 21432\n </td>\n <td>\n 4\n </td>\n <td>\n 6\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SNP7-G/A\n </td>\n <td>\n 21425\n </td>\n <td>\n 4\n </td>\n <td>\n 6\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n CNE-F*\n </td>\n <td>\n 17615–17863\n </td>\n <td>\n SNP8-G/C\n </td>\n <td>\n 17713\n </td>\n <td>\n 2\n </td>\n <td>\n 4\n </td>\n <td>\n 1\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n SAGE Tag Datasets\n \n </td>\n <td>\n \n Total\n \n </td>\n <td colspan=\"2\">\n \n 10 × Gen. Match\n \n </td>\n <td colspan=\"2\">\n \n No Gen. Match\n \n </td>\n <td colspan=\"2\">\n \n Annotated Seq.\n \n </td>\n <td colspan=\"2\">\n \n EST Match\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n SAGE tag counts: ALL\n </td>\n <td>\n 290,062\n </td>\n <td>\n 262,029\n </td>\n <td>\n [90.3%]\n </td>\n <td>\n 28,033\n </td>\n <td>\n [9.7%]\n </td>\n <td>\n 128,519\n </td>\n <td>\n [44.3%]\n </td>\n <td>\n 207,625\n </td>\n <td>\n [71.6%]\n </td>\n </tr>\n <tr>\n <td>\n Unique SAGE tag counts: ALL\n </td>\n <td>\n 38,263\n </td>\n <td>\n 24,932\n </td>\n <td>\n [65.2%]\n </td>\n <td>\n 13,331\n </td>\n <td>\n [34.8%]\n </td>\n <td>\n 5,910\n </td>\n <td>\n [15.4%]\n </td>\n <td>\n 8,709\n </td>\n <td>\n [22.8%]\n </td>\n </tr>\n <tr>\n <td>\n AVG FREQ SAGE tag counts: ALL\n </td>\n <td>\n 7.6\n </td>\n <td>\n 10.5\n </td>\n <td>\n </td>\n <td>\n 2.1\n </td>\n <td>\n </td>\n <td>\n 21.7\n </td>\n <td>\n </td>\n <td>\n 23.8\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n SAGE tag counts: 2 × 2\n </td>\n <td>\n 202,472\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 102,619\n </td>\n <td>\n [50.7%]\n </td>\n <td>\n 163,283\n </td>\n <td>\n [80.6%]\n </td>\n </tr>\n <tr>\n <td>\n Unique SAGE tag counts: 2 × 2\n </td>\n <td>\n 8,188\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 2,038\n </td>\n <td>\n [24.9%]\n </td>\n <td>\n 3,560\n </td>\n <td>\n [43.5%]\n </td>\n </tr>\n <tr>\n <td>\n AVG FREQ SAGE tag counts: 2 × 2\n </td>\n <td>\n 24.7\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 50.4\n </td>\n <td>\n </td>\n <td>\n 45.8\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"5\">\n \n Gene\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n <underline>\n Sequence Variant\n </underline>\n </td>\n <td>\n <underline>\n SDHA\n </underline>\n </td>\n <td>\n <underline>\n SDHB\n </underline>\n </td>\n <td>\n <underline>\n SDHC\n </underline>\n </td>\n <td>\n <underline>\n SDHD\n </underline>\n </td>\n <td>\n <underline>\n Total\n </underline>\n </td>\n </tr>\n <tr>\n <td>\n Total – Sequence Variants\n </td>\n <td>\n 5\n </td>\n <td>\n 60\n </td>\n <td>\n 5\n </td>\n <td>\n 50\n </td>\n <td>\n 120\n </td>\n </tr>\n <tr>\n <td>\n Total – Mutations\n </td>\n <td>\n 5\n </td>\n <td>\n 47\n </td>\n <td>\n 4\n </td>\n <td>\n 42\n </td>\n <td>\n 98\n </td>\n </tr>\n <tr>\n <td>\n Missense\n </td>\n <td>\n 4\n </td>\n <td>\n 19\n </td>\n <td>\n 1\n </td>\n <td>\n 11\n </td>\n <td>\n 36\n </td>\n </tr>\n <tr>\n <td>\n Nonsense (incl. start codon)\n </td>\n <td>\n 1\n </td>\n <td>\n 8\n </td>\n <td>\n 1\n </td>\n <td>\n 11\n </td>\n <td>\n 21\n </td>\n </tr>\n <tr>\n <td>\n Small Insertions <10 bp\n </td>\n <td>\n 0\n </td>\n <td>\n 4\n </td>\n <td>\n 0\n </td>\n <td>\n 3\n </td>\n <td>\n 7\n </td>\n </tr>\n <tr>\n <td>\n Small Deletions <10 bp\n </td>\n <td>\n 0\n </td>\n <td>\n 9\n </td>\n <td>\n 0\n </td>\n <td>\n 13\n </td>\n <td>\n 22\n </td>\n </tr>\n <tr>\n <td>\n Splice site\n </td>\n <td>\n 0\n </td>\n <td>\n 6\n </td>\n <td>\n 1\n </td>\n <td>\n 2\n </td>\n <td>\n 9\n </td>\n </tr>\n <tr>\n <td>\n Large Insertions/deletions\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 2\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n Total – Polymorphisms\n </td>\n <td>\n 0\n </td>\n <td>\n 13\n </td>\n <td>\n 1\n </td>\n <td>\n 8\n </td>\n <td>\n 22\n </td>\n </tr>\n <tr>\n <td>\n Synonymous (Silent)\n </td>\n <td>\n 0\n </td>\n <td>\n 3\n </td>\n <td>\n 0\n </td>\n <td>\n 4\n </td>\n <td>\n 7\n </td>\n </tr>\n <tr>\n <td>\n Non-Synonymous\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 2\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Promoter or Intron polymorphisms\n </td>\n <td>\n 0\n </td>\n <td>\n 9\n </td>\n <td>\n 1\n </td>\n <td>\n 2\n </td>\n <td>\n 12\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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|
{
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"3\">\n \n Percentile\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Parameter\n \n </td>\n <td>\n \n No. of hours or days\n \n </td>\n <td>\n \n 25th\n \n </td>\n <td>\n \n 50th\n \n </td>\n <td>\n \n 75th\n \n </td>\n <td>\n \n Maximum\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"6\">\n PM\n <sub>\n 2.5\n </sub>\n (μg/m\n <sup>\n 3\n </sup>\n )a\n </td>\n </tr>\n <tr>\n <td>\n Hourly\n </td>\n <td>\n 48,592\n </td>\n <td>\n 5.6\n </td>\n <td>\n 9.2\n </td>\n <td>\n 15.0\n </td>\n <td>\n 84.1\n </td>\n </tr>\n <tr>\n <td>\n Daily\n </td>\n <td>\n 2079\n </td>\n <td>\n 6.7\n </td>\n <td>\n 9.8\n </td>\n <td>\n 14.5\n </td>\n <td>\n 53.2\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n Black carbon (μg/m\n <sup>\n 3\n </sup>\n )b\n </td>\n </tr>\n <tr>\n <td>\n Hourly\n </td>\n <td>\n 36,789\n </td>\n <td>\n 0.44\n </td>\n <td>\n 0.77\n </td>\n <td>\n 1.35\n </td>\n <td>\n 23.93\n </td>\n </tr>\n <tr>\n <td>\n Daily\n </td>\n <td>\n 1555\n </td>\n <td>\n 0.58\n </td>\n <td>\n 0.94\n </td>\n <td>\n 1.41\n </td>\n <td>\n 7.32\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n NO\n <sub>\n 2\n </sub>\n (ppb)\n </td>\n </tr>\n <tr>\n <td>\n Hourly\n </td>\n <td>\n 60,555\n </td>\n <td>\n 15.8\n </td>\n <td>\n 21.7\n </td>\n <td>\n 29.0\n </td>\n <td>\n 78.8\n </td>\n </tr>\n <tr>\n <td>\n Daily\n </td>\n <td>\n 2526\n </td>\n <td>\n 18.1\n </td>\n <td>\n 22.4\n </td>\n <td>\n 27.3\n </td>\n <td>\n 61.8\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n SO\n <sub>\n 2\n </sub>\n (ppb)\n </td>\n </tr>\n <tr>\n <td>\n Hourly\n </td>\n <td>\n 60,620\n </td>\n <td>\n 2.6\n </td>\n <td>\n 4.3\n </td>\n <td>\n 7.5\n </td>\n <td>\n 71.6\n </td>\n </tr>\n <tr>\n <td>\n Daily\n </td>\n <td>\n 2526\n </td>\n <td>\n 3.2\n </td>\n <td>\n 4.8\n </td>\n <td>\n 7.3\n </td>\n <td>\n 31.4\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n CO (ppm)\n </td>\n </tr>\n <tr>\n <td>\n Hourly\n </td>\n <td>\n 60,091\n </td>\n <td>\n 0.46\n </td>\n <td>\n 0.73\n </td>\n <td>\n 1.04\n </td>\n <td>\n 5.83\n </td>\n </tr>\n <tr>\n <td>\n Daily\n </td>\n <td>\n 2526\n </td>\n <td>\n 0.52\n </td>\n <td>\n 0.78\n </td>\n <td>\n 1.03\n </td>\n <td>\n 2.48\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n O\n <sub>\n 3\n </sub>\n (ppb)\n </td>\n </tr>\n <tr>\n <td>\n Hourly\n </td>\n <td>\n 60,210\n </td>\n <td>\n 11.3\n </td>\n <td>\n 22.2\n </td>\n <td>\n 33.0\n </td>\n <td>\n 119.5\n </td>\n </tr>\n <tr>\n <td>\n Daily\n </td>\n <td>\n 2524\n </td>\n <td>\n 15.2\n </td>\n <td>\n 22.6\n </td>\n <td>\n 30.9\n </td>\n <td>\n 77.5\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n Temperature (°C)\n </td>\n </tr>\n <tr>\n <td>\n Hourly\n </td>\n <td>\n 60,449\n </td>\n <td>\n 3\n </td>\n <td>\n 11\n </td>\n <td>\n 18\n </td>\n <td>\n 36\n </td>\n </tr>\n <tr>\n <td>\n Daily\n </td>\n <td>\n 2526\n </td>\n <td>\n 4\n </td>\n <td>\n 11\n </td>\n <td>\n 18\n </td>\n <td>\n 32\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n Dew point (°C)\n </td>\n </tr>\n <tr>\n <td>\n Hourly\n </td>\n <td>\n 60,356\n </td>\n <td>\n −3\n </td>\n <td>\n 6\n </td>\n <td>\n 13\n </td>\n <td>\n 25\n </td>\n </tr>\n <tr>\n <td>\n Daily\n </td>\n <td>\n 2526\n </td>\n <td>\n −2\n </td>\n <td>\n 5\n </td>\n <td>\n 13\n </td>\n <td>\n 23\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n Barometric pressure (mmHg)\n </td>\n </tr>\n <tr>\n <td>\n Hourly\n </td>\n <td>\n 60,379\n </td>\n <td>\n 758\n </td>\n <td>\n 762\n </td>\n <td>\n 766\n </td>\n <td>\n 784\n </td>\n </tr>\n <tr>\n <td>\n Daily\n </td>\n <td>\n 2525\n </td>\n <td>\n 758\n </td>\n <td>\n 762\n </td>\n <td>\n 766\n </td>\n <td>\n 781\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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} |
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{
"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n From the hospital database\n \n </td>\n <td>\n \n From the nurse\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Patient characteristics (once at admission)\n </td>\n <td>\n NameBirth-dateAdmitting departmentHospital unique patient ID\n </td>\n <td>\n Reason of admissionHistory of diabetesLengthWeight\n </td>\n </tr>\n <tr>\n <td>\n For every glucose measurement\n </td>\n <td>\n Glucose value\n </td>\n <td>\n Nurse identificationEnteral glucose doseStomach retentionIntravenous glucose doseCurrent insulin pump rateMean arterial pressure > 70 (yes/no)Noradrenalin doseDopamin doseSteroid administration (yes/no)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
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} |
|
{
"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n DMU (Health unit)\n \n </td>\n <td>\n \n Technical efficiency\n \n </td>\n <td>\n \n Scale efficiency\n \n </td>\n <td>\n \n DMU (Health unit)\n \n </td>\n <td>\n \n Technical efficiency\n \n </td>\n <td>\n \n Scale efficiency\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Potoru\n </td>\n <td>\n 100\n </td>\n <td>\n 100\n </td>\n <td>\n S/Malen\n </td>\n <td>\n 77\n </td>\n <td>\n 54\n </td>\n </tr>\n <tr>\n <td>\n Gbahama\n </td>\n <td>\n 100\n </td>\n <td>\n 100\n </td>\n <td>\n Karlu\n </td>\n <td>\n 77\n </td>\n <td>\n 48\n </td>\n </tr>\n <tr>\n <td>\n Jendema\n </td>\n <td>\n 100\n </td>\n <td>\n 100\n </td>\n <td>\n Futa Peje\n </td>\n <td>\n 72\n </td>\n <td>\n 62\n </td>\n </tr>\n <tr>\n <td>\n Saama P\n </td>\n <td>\n 100\n </td>\n <td>\n 100\n </td>\n <td>\n Kpowubu\n </td>\n <td>\n 72\n </td>\n <td>\n 96\n </td>\n </tr>\n <tr>\n <td>\n Geoma\n </td>\n <td>\n 100\n </td>\n <td>\n 100\n </td>\n <td>\n Falaba\n </td>\n <td>\n 71\n </td>\n <td>\n 58\n </td>\n </tr>\n <tr>\n <td>\n Gissiwulo\n </td>\n <td>\n 100\n </td>\n <td>\n 100\n </td>\n <td>\n Gbaa\n </td>\n <td>\n 70\n </td>\n <td>\n 84\n </td>\n </tr>\n <tr>\n <td>\n S/Griema\n </td>\n <td>\n 100\n </td>\n <td>\n 100\n </td>\n <td>\n Sulima\n </td>\n <td>\n 65\n </td>\n <td>\n 85\n </td>\n </tr>\n <tr>\n <td>\n Sengema\n </td>\n <td>\n 100\n </td>\n <td>\n 100\n </td>\n <td>\n Bomu Sa\n </td>\n <td>\n 64\n </td>\n <td>\n 58\n </td>\n </tr>\n <tr>\n <td>\n Massam\n </td>\n <td>\n 100\n </td>\n <td>\n 100\n </td>\n <td>\n Vaama\n </td>\n <td>\n 60\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td>\n Static Pu\n </td>\n <td>\n 100\n </td>\n <td>\n 93\n </td>\n <td>\n Pehala\n </td>\n <td>\n 55\n </td>\n <td>\n 93\n </td>\n </tr>\n <tr>\n <td>\n Gbondapi\n </td>\n <td>\n 100\n </td>\n <td>\n 88\n </td>\n <td>\n Gofor\n </td>\n <td>\n 55\n </td>\n <td>\n 64\n </td>\n </tr>\n <tr>\n <td>\n Zimmi\n </td>\n <td>\n 100\n </td>\n <td>\n 86\n </td>\n <td>\n T/Barri\n </td>\n <td>\n 49\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td>\n Banjadum\n </td>\n <td>\n 100\n </td>\n <td>\n 84\n </td>\n <td>\n Saahun\n </td>\n <td>\n 49\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td>\n Bandajum\n </td>\n <td>\n 100\n </td>\n <td>\n 75\n </td>\n <td>\n Fairo\n </td>\n <td>\n 46\n </td>\n <td>\n 60\n </td>\n </tr>\n <tr>\n <td>\n Taninahu\n </td>\n <td>\n 100\n </td>\n <td>\n 59\n </td>\n <td>\n Waiima\n </td>\n <td>\n 45\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td>\n B/Massaq\n </td>\n <td>\n 97\n </td>\n <td>\n 62\n </td>\n <td>\n Bumpeh\n </td>\n <td>\n 45\n </td>\n <td>\n 57\n </td>\n </tr>\n <tr>\n <td>\n Dandabu\n </td>\n <td>\n 90\n </td>\n <td>\n 44\n </td>\n <td>\n Kowama\n </td>\n <td>\n 37\n </td>\n <td>\n 80\n </td>\n </tr>\n <tr>\n <td>\n S/Kpaka\n </td>\n <td>\n 87\n </td>\n <td>\n 99\n </td>\n <td>\n S/Bessima\n </td>\n <td>\n 26\n </td>\n <td>\n 85\n </td>\n </tr>\n <tr>\n <td>\n Njaluahu\n </td>\n <td>\n 82\n </td>\n <td>\n 57\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
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