image
imagewidth (px) 76
739
| ground_truth
dict |
|---|---|
{
"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 STATEWIDE CALL CENTRE\n \n </td>\n <td colspan=\"2\">\n \n REGIONAL CALL CENTRE\n \n </td>\n <td>\n \n Deputising service\n \n </td>\n <td>\n \n Local triage centre\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Metro\n \n </td>\n <td>\n \n Non-metro\n \n </td>\n <td>\n \n Metro\n \n </td>\n <td>\n \n Non-metro\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n GP clinic visit\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 Contact\n </td>\n <td>\n 1.35 (0.86 – 2.12)\n </td>\n <td>\n 1.38 (0.89 – 2.14)\n </td>\n <td>\n 0.94 (0.59 – 1.50)\n </td>\n <td>\n 1.42 (0.90 – 2.24)\n </td>\n <td>\n 0.62* (0.39 – 0.97)\n </td>\n <td>\n 1.49 (0.85 – 2.62)\n </td>\n </tr>\n <tr>\n <td>\n Frequency\n </td>\n <td>\n 0.07 [0.01] (-1.14 – 1.28)\n </td>\n <td>\n -0.32 [-0.03] (-1.40 – 0.77)\n </td>\n <td>\n -0.84 [-0.07] (-2.03 – 0.36)\n </td>\n <td>\n 0.33 [0.03] (-0.90 – 1.56)\n </td>\n <td>\n -1.09 [-0.11] (-2.12 – -0.7)\n <sup>\n †\n </sup>\n </td>\n <td>\n 1.20 [0.09] (-0.25 – 2.66)\n </td>\n </tr>\n <tr>\n <td>\n \n GP home visit\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 Contact\n </td>\n <td>\n 1.37 (0.67 – 2.80)\n </td>\n <td>\n 1.70 (0.73 – 3.94)\n </td>\n <td>\n 0.78 (0.40 – 1.51)\n </td>\n <td>\n 2.11\n <sup>\n ‡\n </sup>\n (1.02–4.38)\n </td>\n <td>\n 1.06 (0.55 – 2.01)\n </td>\n <td>\n 0.96 (0.36 – 2.58)\n </td>\n </tr>\n <tr>\n <td>\n Frequency\n </td>\n <td>\n 0.60 [0.17] (-0.20 – 1.41)\n </td>\n <td>\n 0.47 [0.12] (-0.44 – 1.37)\n </td>\n <td>\n 0.36 [0.09] (-0.61 – 1.32)\n </td>\n <td>\n 0.66 [0.15] (-0.41 – 1.71)\n </td>\n <td>\n 0.23 [0.05] (-0.90 – 1.36)\n </td>\n <td>\n 0.42 [0.10] (-0.49 – 1.32)\n </td>\n </tr>\n <tr>\n <td>\n \n ED visit\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 Contact\n </td>\n <td>\n 0.78 (0.50 – 1.22)\n </td>\n <td>\n 0.99 (0.60 – 1.64)\n </td>\n <td>\n 1.19 (0.77 – 1.84)\n </td>\n <td>\n 1.11 (0.63 – 1.98)\n </td>\n <td>\n 1.17 (0.76 – 1.82)\n </td>\n <td>\n 0.99 (0.56 – 1.74)\n </td>\n </tr>\n <tr>\n <td>\n Frequency\n </td>\n <td>\n -0.31 [-0.05] (-1.03 – 0.41)\n </td>\n <td>\n 0.12 [0.002] (-0.77 – 0.81)\n </td>\n <td>\n 0.08 [0.01] (-0.67 – 0.83)\n </td>\n <td>\n -0.15 [-0.02] (-1.03 – 0.72)\n </td>\n <td>\n 0.02 [0.003] (-0.71 – 0.76)\n </td>\n <td>\n 0.30 [0.03] (-0.80 – 1.34)\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 Reference\n \n </td>\n <td>\n \n Country\n \n </td>\n <td>\n \n Design\n \n </td>\n <td>\n \n Setting\n \n </td>\n <td>\n \n Service\n \n </td>\n <td>\n \n No. Ph\n \n </td>\n <td>\n \n Sample size\n \n </td>\n <td>\n \n Main outcome measures\n \n </td>\n <td>\n \n Significant outcomes\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Brook et al, (2003)\n </td>\n <td>\n NL\n </td>\n <td>\n RCT\n </td>\n <td>\n CP\n </td>\n <td>\n PE\n </td>\n <td>\n 19\n </td>\n <td>\n 64 Int 71 Cont\n </td>\n <td>\n Attitudes to AD\n </td>\n <td>\n Improved attitudes\n </td>\n </tr>\n <tr>\n <td>\n Brook et al, (2003)\n </td>\n <td>\n NL\n </td>\n <td>\n RCT\n </td>\n <td>\n CP\n </td>\n <td>\n PE\n </td>\n <td>\n 19\n </td>\n <td>\n 64 Int 71 Cont\n </td>\n <td>\n Depressive symptoms\n </td>\n <td>\n Improvements in depressive symptoms (significance dependent on treatment of missing data)\n </td>\n </tr>\n <tr>\n <td>\n Brook et al, (2005)\n </td>\n <td>\n NL\n </td>\n <td>\n RCT\n </td>\n <td>\n CP\n </td>\n <td>\n PE\n </td>\n <td>\n 19\n </td>\n <td>\n 64 Int 71 Cont\n </td>\n <td>\n AD adherence, depressive symptoms\n </td>\n <td>\n Improved adherence among those that completed pharmacist intervention. Intention to treat analysis no difference.\n </td>\n </tr>\n <tr>\n <td>\n Finley et al, (2002)\n </td>\n <td>\n USA\n </td>\n <td>\n CT\n </td>\n <td>\n HMO\n </td>\n <td>\n PE/TM\n </td>\n <td>\n 2\n </td>\n <td>\n 91 Int 129 Cont\n </td>\n <td>\n AD adherence, resource utilisation, depressive symptoms, medication switch rates, patient satisfaction.\n </td>\n <td>\n Improved adherence, higher medication switch rates, decline in patient visits to primary care providers, improved patient satisfaction\n </td>\n </tr>\n <tr>\n <td>\n Finely et al, (2003)\n </td>\n <td>\n USA\n </td>\n <td>\n RCT\n </td>\n <td>\n HMO\n </td>\n <td>\n PE/TM\n </td>\n <td>\n 2\n </td>\n <td>\n 75 Int 50 Cont\n </td>\n <td>\n AD adherence, resource utilisation, depressive symptoms, patient satisfaction, medication costs.\n </td>\n <td>\n Improved adherence, improved patient satisfaction\n </td>\n </tr>\n <tr>\n <td>\n Capoccia et al, (2004)\n </td>\n <td>\n USA\n </td>\n <td>\n RCT\n </td>\n <td>\n PCM\n </td>\n <td>\n PE/TM\n </td>\n <td>\n 2\n </td>\n <td>\n 41 Int 33 Cont\n </td>\n <td>\n AD adherence, resource utilisation, depressive symptoms, quality of life, patient satisfaction.\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Adler et al, (2004)\n </td>\n <td>\n USA\n </td>\n <td>\n RCT\n </td>\n <td>\n PCM\n </td>\n <td>\n PE/TM\n </td>\n <td>\n 5\n </td>\n <td>\n 268 Int 265 Cont\n </td>\n <td>\n AD use rates, depressive symptoms.\n </td>\n <td>\n Improved AD use rate.\n </td>\n </tr>\n <tr>\n <td>\n Rosen et al, (1978)\n </td>\n <td>\n USA\n </td>\n <td>\n CT\n </td>\n <td>\n CMH\n </td>\n <td>\n PE/TM\n </td>\n <td>\n 1\n </td>\n <td>\n 30 Int 152 Cont\n </td>\n <td>\n Patient well-being, patient satisfaction, quantity and cost of service provision.\n </td>\n <td>\n Intervention patients' had higher personal adjustment scores, were 'better since coming to clinic' and less likely to need further help.\n </td>\n </tr>\n <tr>\n <td>\n Razali et al, (1995)\n </td>\n <td>\n Malaysia\n </td>\n <td>\n RCT\n </td>\n <td>\n OP\n </td>\n <td>\n PE\n </td>\n <td>\n 1\n </td>\n <td>\n 85 Int 80 Cont\n </td>\n <td>\n Relapses requiring hospital readmission.\n </td>\n <td>\n Fewer relapses requiring hospitalisation in intervention group.\n </td>\n </tr>\n <tr>\n <td>\n Shaw et al, (2000)\n </td>\n <td>\n UK\n </td>\n <td>\n RCT\n </td>\n <td>\n OP\n </td>\n <td>\n PE/CA\n </td>\n <td>\n 1\n </td>\n <td>\n 51 Int 46 Cont\n </td>\n <td>\n Medication knowledge, medication related problems, adherence, hospital readmission.\n </td>\n <td>\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 Index\n \n </td>\n <td>\n \n BLAST\n \n </td>\n <td>\n \n PSIBLAST\n \n </td>\n <td>\n \n FUGUE\n \n </td>\n <td>\n \n \n DP-FUGUE\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n New families\n </td>\n <td>\n ROC1-S\n </td>\n <td>\n 41 (2.52)\n </td>\n <td>\n 43 (3.14)\n </td>\n <td>\n 73 (8.44)\n </td>\n <td>\n 156 (11.77)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n ROC1-F\n </td>\n <td>\n 43 (1.95)\n </td>\n <td>\n 45 (2.57)\n </td>\n <td>\n 75 (6.41)\n </td>\n <td>\n 181 (9.89)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n TSS\n </td>\n <td>\n 94 (4.85)\n </td>\n <td>\n 101 (5.36)\n </td>\n <td>\n 208 (15.80)\n </td>\n <td>\n 255 (17.11)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n TFF\n </td>\n <td>\n 142 (3.90)\n </td>\n <td>\n 161 (4.49)\n </td>\n <td>\n 364 (12.42)\n </td>\n <td>\n 602 (13.77)\n </td>\n </tr>\n <tr>\n <td>\n New Superfamilies\n </td>\n <td>\n ROC1-F\n </td>\n <td>\n 1(0.09)\n </td>\n <td>\n 1 (0.09)\n </td>\n <td>\n 6 (0.36)\n </td>\n <td>\n 50 (0.738)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n TFF\n </td>\n <td>\n 20 (0.80)\n </td>\n <td>\n 23 (0.92)\n </td>\n <td>\n 119 (2.39)\n </td>\n <td>\n 108 (2.22)\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 Primer Name\n \n </td>\n <td>\n \n Sequence\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n phoA5bam\n </td>\n <td>\n CGGGATCCGGGCCTCCTTGCGGGT\n </td>\n </tr>\n <tr>\n <td>\n phoA3Xho\n </td>\n <td>\n CCGCTCGAGTTATTTCAGCCCCAGAGC\n </td>\n </tr>\n <tr>\n <td>\n ant311\n </td>\n <td>\n CCTTAATTAACAGGGTGCACCCACG\n </td>\n </tr>\n <tr>\n <td>\n antPL+SD\n </td>\n <td>\n CGGGATCCGGGAGGCACCTTTTGATCAT\n </td>\n </tr>\n <tr>\n <td>\n antPL\n </td>\n <td>\n CGGGATCCCTTTTGATCATGGCTAAC\n </td>\n </tr>\n <tr>\n <td>\n antPU\n </td>\n <td>\n GCTCTAGACTCGCTCATCGCCGCACG\n </td>\n </tr>\n <tr>\n <td>\n AntAKO5\n </td>\n <td>\n GGAATTCTTCGTGACGATGCG\n </td>\n </tr>\n <tr>\n <td>\n AntAKO3\n </td>\n <td>\n CGGGATCCGCTCGCGATGCTGC\n </td>\n </tr>\n <tr>\n <td>\n lacZPE\n </td>\n <td>\n GGATGTGCTGCAAGGC\n </td>\n </tr>\n <tr>\n <td>\n lacZPE2\n </td>\n <td>\n GTAACCATGGTCATCGC\n </td>\n </tr>\n <tr>\n <td>\n ben40PU\n </td>\n <td>\n CGGGATCCGGGCCAGGTAGATCCAC\n </td>\n </tr>\n <tr>\n <td>\n ben40PL\n </td>\n <td>\n CCTTAATTAACCAACGTCAGTGAACGTTC\n </td>\n </tr>\n <tr>\n <td>\n benactko-for\n </td>\n <td>\n CGCGACACATTGCTGCCCAG\n </td>\n </tr>\n <tr>\n <td>\n benactko-rev\n </td>\n <td>\n AGTATCAGCCATCGCACCTT\n </td>\n </tr>\n <tr>\n <td>\n benL278\n </td>\n <td>\n CCTTAATTAAGTTAAGCGACGTGCGC\n </td>\n </tr>\n <tr>\n <td>\n 3' antactiv\n </td>\n <td>\n CCCAAGCTTCTATCGAGGCAAGCCAG\n </td>\n </tr>\n <tr>\n <td>\n benact5'\n </td>\n <td>\n AGCTTTGTTTAAACGCATGACGTTGTTGATTC\n </td>\n </tr>\n <tr>\n <td>\n benact3'\n </td>\n <td>\n CCCAAGCTTCCCGTCAATATCCGCTG\n </td>\n </tr>\n <tr>\n <td>\n H3_5'benAKOclean\n </td>\n <td>\n CCCAAGCTTGCCATGAGGCGGAAAACGCTGC\n </td>\n </tr>\n <tr>\n <td>\n H3_3'benBKOclean\n </td>\n <td>\n CCCAAGCTTCGGTGATCGCCACGCTGTCGC\n </td>\n </tr>\n <tr>\n <td>\n benKOmega\n </td>\n <td>\n CATACGTCATGGCCCTCCGTTGTTC\n </td>\n </tr>\n <tr>\n <td>\n invbenKOmega\n </td>\n <td>\n GAACAACGGAGGGCCATGACGTATG\n </td>\n </tr>\n <tr>\n <td>\n 5'benA_seq\n </td>\n <td>\n CTGCTGGAAAACGCCTGCCTGGAG\n </td>\n </tr>\n <tr>\n <td>\n seq_3'benB\n </td>\n <td>\n GAGCACTTCAAGCATCGACAGGAAC\n </td>\n </tr>\n <tr>\n <td>\n 1261-8378F\n </td>\n <td>\n CTTCAGATCCAGACTCACCAG\n </td>\n </tr>\n <tr>\n <td>\n 1261-103R\n </td>\n <td>\n GACCATGATTACGCCAAGCGC\n </td>\n </tr>\n <tr>\n <td>\n M13F\n </td>\n <td>\n GTAAAACGACGGCCAGT\n </td>\n </tr>\n <tr>\n <td>\n M13R\n </td>\n <td>\n CACACAGGAAACAGCTATGAC\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
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} |
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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 Staining\n \n </td>\n <td>\n \n Excitation [nm]\n \n </td>\n <td>\n \n Emission filter [nm]\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n concanavaline A\n </td>\n <td>\n 488\n </td>\n <td>\n 580 ± 30 (BP)\n </td>\n </tr>\n <tr>\n <td>\n syto64\n </td>\n <td>\n 568\n </td>\n <td>\n 600 (BP)\n </td>\n </tr>\n <tr>\n <td>\n chlorophyll\n \n a\n \n (autofluorescence)\n </td>\n <td>\n 647\n </td>\n <td>\n 665 (LP)\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>\n \n Wild-type\n \n </td>\n <td>\n \n MCAT\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Young\n </td>\n <td>\n N = 6\n </td>\n <td>\n N = 8\n </td>\n </tr>\n <tr>\n <td>\n Old\n </td>\n <td>\n N = 5\n </td>\n <td>\n N = 5\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 \n Variable\n \n \n </td>\n <td>\n \n \n Concentric hypertrophy n = 28\n \n \n </td>\n <td>\n \n \n Eccentric hypertrophy n = 21\n \n \n </td>\n <td>\n \n \n Concentric remodeling n = 36\n \n \n </td>\n <td>\n \n \n Normal n = 114\n \n \n </td>\n <td>\n \n \n P value\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age (years)\n </td>\n <td>\n 56.07 (6.98)\n </td>\n <td>\n 55.86 (8.01)\n </td>\n <td>\n 56.56 (7.50)\n </td>\n <td>\n 55.97 (7.93)\n </td>\n <td>\n 0.98\n </td>\n </tr>\n <tr>\n <td>\n Heart Rate (bpm)\n </td>\n <td>\n 83.14 (12.94)\n </td>\n <td>\n 77.05 (12.93)\n </td>\n <td>\n 84.92 (13.27)\n </td>\n <td>\n 80.82 (12.85)\n </td>\n <td>\n 0.12\n </td>\n </tr>\n <tr>\n <td>\n Weight (kg)\n </td>\n <td>\n 69.21 (10.02)\n </td>\n <td>\n 71.38 (13.06)\n </td>\n <td>\n 69.67 (12.21)\n </td>\n <td>\n 69.25 (10.24)\n </td>\n <td>\n 0.87\n </td>\n </tr>\n <tr>\n <td>\n Height (m)\n </td>\n <td>\n 1.60 (0.10)\n </td>\n <td>\n 1.61 (0.08)\n </td>\n <td>\n 1.65 (0.07)\n </td>\n <td>\n 1.67 (0.09)\n </td>\n <td>\n 0.002*\n </td>\n </tr>\n <tr>\n <td>\n BMI (kg/m\n <sup>\n 2\n </sup>\n )\n </td>\n <td>\n 27.29 (4.67)\n </td>\n <td>\n 27.96 (4.27)\n </td>\n <td>\n 26.06 (4.81)\n </td>\n <td>\n 25.09 (3.63)\n </td>\n <td>\n 0.005\n </td>\n </tr>\n <tr>\n <td>\n SBP (mmHg)\n </td>\n <td>\n 166.07 (18.12)\n </td>\n <td>\n 159.14 (19.59)\n </td>\n <td>\n 148.67 (4.06)\n </td>\n <td>\n 129.75 (22.77)\n </td>\n <td>\n <0.0001*\n </td>\n </tr>\n <tr>\n <td>\n DBP (mmHg)\n </td>\n <td>\n 103.21 (8.72)\n </td>\n <td>\n 97.43 (2.54)\n </td>\n <td>\n 91.00 (16.43)\n </td>\n <td>\n 78.00 (14.96)\n </td>\n <td>\n <0.0001*\n </td>\n </tr>\n <tr>\n <td>\n Pulse Pressure (mmHg)\n </td>\n <td>\n 62.32 (15.15)\n </td>\n <td>\n 61.71 (14.32)\n </td>\n <td>\n 58.25 (15.50)\n </td>\n <td>\n 51.84 (12.32)\n </td>\n <td>\n 0.0001*\n </td>\n </tr>\n <tr>\n <td>\n Mean Arterial Pressure (mmHg)\n </td>\n <td>\n 123.99 (10.51)\n </td>\n <td>\n 118.00 (13.16)\n </td>\n <td>\n 110.42 (8.67)\n </td>\n <td>\n 95.28 (16.98)\n </td>\n <td>\n <0.0001*\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=\"4\">\n \n Overall\n \n </td>\n <td colspan=\"2\">\n \n By ethnicity\n \n </td>\n <td colspan=\"2\">\n \n By poverty level\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td colspan=\"4\">\n \n <underline>\n All Phase 1 participants\n </underline>\n \n </td>\n <td>\n \n <underline>\n American Indian\n </underline>\n \n </td>\n <td>\n \n <underline>\n Caucasian\n </underline>\n \n </td>\n <td>\n \n <underline>\n ≤ 100%\n </underline>\n \n </td>\n <td>\n \n <underline>\n 101–185%\n </underline>\n \n </td>\n </tr>\n <tr>\n <td>\n \n Nutrient\n \n </td>\n <td>\n \n Mean of week-12 recalls (SD)\n \n </td>\n <td>\n \n Mean of HSFFQ2 (SD)\n \n </td>\n <td>\n \n Adjusted r\n <sup>\n b\n </sup>\n \n </td>\n <td>\n \n Deattenuated r\n <sup>\n c\n </sup>\n (95%CI)\n \n </td>\n <td>\n \n Deattenuated r\n <sup>\n c\n </sup>\n (95%CI)\n \n </td>\n <td>\n \n Deattenuated r\n <sup>\n c\n </sup>\n (95% CI)\n \n </td>\n <td>\n \n Deattenuated r\n <sup>\n c\n </sup>\n (95% CI)\n \n </td>\n <td>\n \n Deattenuated r\n <sup>\n c\n </sup>\n (95% CI)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Calories (kcal)\n </td>\n <td>\n 2139 (629)\n </td>\n <td>\n 1927 (716)\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n Carbohydrates (g)\n </td>\n <td>\n 280 (83)\n </td>\n <td>\n 240 (92)\n </td>\n <td>\n 0.15\n </td>\n <td>\n 0.22 (0.02, 0.41)\n </td>\n <td>\n 0.15 (-0.13, 0.41)\n </td>\n <td>\n 0.30 (-0.03, 0.57)\n </td>\n <td>\n 0.26 (0.03, 0.46)\n </td>\n <td>\n 0.23 (-0.37, 0.69)\n </td>\n </tr>\n <tr>\n <td>\n Protein (g)\n </td>\n <td>\n 82 (27)\n </td>\n <td>\n 77 (32)\n </td>\n <td>\n 0.31\n </td>\n <td>\n 0.51 (0.31, 0.67)\n </td>\n <td>\n 0.44 (0.05, 0.72)\n </td>\n <td>\n 0.54 (0.29, 0.73)\n </td>\n <td>\n 0.46 (0.21, 0.66)\n </td>\n <td>\n 0.64 (0.27, 0.85)\n </td>\n </tr>\n <tr>\n <td>\n Dietary fiber (g)\n </td>\n <td>\n 15 (6)\n </td>\n <td>\n 13 (7)\n </td>\n <td>\n 0.19\n </td>\n <td>\n 0.27 (0.10, 0.42)\n </td>\n <td>\n 0.26 (-0.02, 0.50)\n </td>\n <td>\n 0.36 (0.14, 0.54)\n </td>\n <td>\n 0.30 (0.10, 0.48)\n </td>\n <td>\n 0.32 (0.02, 0.57)\n </td>\n </tr>\n <tr>\n <td>\n Total fat (g)\n </td>\n <td>\n 79 (31)\n </td>\n <td>\n 77 (33)\n </td>\n <td>\n 0.28\n </td>\n <td>\n 0.41 (0.24, 0.56)\n </td>\n <td>\n 0.42 (0.10, 0.67)\n </td>\n <td>\n 0.39 (0.18, 0.57)\n </td>\n <td>\n 0.47 (0.24, 0.65)\n </td>\n <td>\n 0.32 (0.03, 0.55)\n </td>\n </tr>\n <tr>\n <td>\n Saturated fat (g)\n </td>\n <td>\n 29 (12)\n </td>\n <td>\n 30 (13)\n </td>\n <td>\n 0.36\n </td>\n <td>\n 0.50 (0.33, 0.64)\n </td>\n <td>\n 0.62 (0.28, 0.82)\n </td>\n <td>\n 0.45 (0.25, 0.62)\n </td>\n <td>\n 0.62 (0.38, 0.78)\n </td>\n <td>\n 0.33 (0.06, 0.55)\n </td>\n </tr>\n <tr>\n <td>\n Monounsaturated fat (g)\n </td>\n <td>\n 30 (11)\n </td>\n <td>\n 29 (13)\n </td>\n <td>\n 0.27\n </td>\n <td>\n 0.39 (0.21, 0.54)\n </td>\n <td>\n 0.37 (0.02, 0.65)\n </td>\n <td>\n 0.37 (0.15, 0.55)\n </td>\n <td>\n 0.42 (0.19, 0.60)\n </td>\n <td>\n 0.34 (0.04, 0.58)\n </td>\n </tr>\n <tr>\n <td>\n Polyunsaturated fat (g)\n </td>\n <td>\n 15 (8)\n </td>\n <td>\n 12 (6)\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.09 (-0.13, 0.31)\n </td>\n <td>\n 0.08 (-0.28, 0.42)\n </td>\n <td>\n 0.10 (-0.18, 0.37)\n </td>\n <td>\n 0.17 (-0.12, 0.44)\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Omega 3 fatty acids (g)\n </td>\n <td>\n 0.05 (0.10)\n </td>\n <td>\n 0.04 (0.05)\n </td>\n <td>\n 0.25\n </td>\n <td>\n 0.33 (0.13, 0.50)\n </td>\n <td>\n 0.22 (-0.05, 0.47)\n </td>\n <td>\n 0.42 (0.10, 0.66)\n </td>\n <td>\n 0.36 (0.11, 0.57)\n </td>\n <td>\n 0.27 (-0.07, 0.55)\n </td>\n </tr>\n <tr>\n <td>\n Percent energy from fat\n </td>\n <td>\n 33 (6)\n </td>\n <td>\n 36 (6)\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n </tr>\n <tr>\n <td>\n Cholesterol\n </td>\n <td>\n 268 (148)\n </td>\n <td>\n 247 (128)\n </td>\n <td>\n 0.37\n </td>\n <td>\n 0.57 (0.38, 0.72)\n </td>\n <td>\n 0.43 (0.10, 0.68)\n </td>\n <td>\n 0.63 (0.36, 0.80)\n </td>\n <td>\n 0.63 (0.37, 0.80)\n </td>\n <td>\n 0.47 (0.15, 0.71)\n </td>\n </tr>\n <tr>\n <td>\n Sucrose\n </td>\n <td>\n 43 (23)\n </td>\n <td>\n 27 (15)\n </td>\n <td>\n 0.26\n </td>\n <td>\n 0.36 (0.19, 0.52)\n </td>\n <td>\n 0.16 (-0.14, 0.43)\n </td>\n <td>\n 0.46 (0.24, 0.63)\n </td>\n <td>\n 0.34 (0.12, 0.53)\n </td>\n <td>\n 0.41 (0.13, 0.64)\n </td>\n </tr>\n <tr>\n <td>\n Calcium\n </td>\n <td>\n 1320 (560)\n </td>\n <td>\n 1387 (566)\n </td>\n <td>\n 0.52\n </td>\n <td>\n 0.67 (0.53, 0.77)\n </td>\n <td>\n 0.55 (0.29, 0.73)\n </td>\n <td>\n 0.60 (0.39, 0.76)\n </td>\n <td>\n 0.69 (0.47, 0.83)\n </td>\n <td>\n 0.58 (0.36, 0.74)\n </td>\n </tr>\n <tr>\n <td>\n Iron (mg)\n </td>\n <td>\n 55 (27)\n </td>\n <td>\n 58 (23)\n </td>\n <td>\n 0.42\n </td>\n <td>\n 0.51 (0.38, 0.62)\n </td>\n <td>\n 0.40 (0.18, 0.59)\n </td>\n <td>\n 0.58 (0.41, 0.71)\n </td>\n <td>\n 0.50 (0.34, 0.64)\n </td>\n <td>\n 0.50 (0.25, 0.68)\n </td>\n </tr>\n <tr>\n <td>\n Magnesium (mg)\n </td>\n <td>\n 290 (117)\n </td>\n <td>\n 257 (101)\n </td>\n <td>\n 0.35\n </td>\n <td>\n 0.45 (0.30, 0.58)\n </td>\n <td>\n 0.35 (0.07, 0.58)\n </td>\n <td>\n 0.47 (0.27, 0.64)\n </td>\n <td>\n 0.35 (0.16, 0.52)\n </td>\n <td>\n 0.70 (0.36, 0.87)\n </td>\n </tr>\n <tr>\n <td>\n Phosphorus (mg)\n </td>\n <td>\n 1473 (521)\n </td>\n <td>\n 1485 (572)\n </td>\n <td>\n 0.45\n </td>\n <td>\n 0.63 (0.45, 0.75)\n </td>\n <td>\n 0.42 (0.12, 0.66)\n </td>\n <td>\n 0.65 (0.40, 0.81)\n </td>\n <td>\n 0.57 (0.33, 0.74)\n </td>\n <td>\n 0.68 (0.38, 0.85)\n </td>\n </tr>\n <tr>\n <td>\n Zinc (mg)\n </td>\n <td>\n 28 (11)\n </td>\n <td>\n 30 (11)\n </td>\n <td>\n 0.43\n </td>\n <td>\n 0.53 (0.40, 0.64)\n </td>\n <td>\n 0.44 (0.20, 0.63)\n </td>\n <td>\n 0.59 (0.40, 0.72)\n </td>\n <td>\n 0.56 (0.40, 0.69)\n </td>\n <td>\n 0.46 (0.21, 0.65)\n </td>\n </tr>\n <tr>\n <td>\n Vitamin A (IU)\n </td>\n <td>\n 9709 (7274)\n </td>\n <td>\n 10602 (5001)\n </td>\n <td>\n 0.33\n </td>\n <td>\n 0.56 (0.39, 0.69)\n </td>\n <td>\n 0.69 (0.33, 0.87)\n </td>\n <td>\n 0.43 (0.18, 0.62)\n </td>\n <td>\n 0.63 (0.40, 0.79)\n </td>\n <td>\n 0.30 (-0.01, 0.55)\n </td>\n </tr>\n <tr>\n <td>\n Vitamin E (mg)\n </td>\n <td>\n 17 (9)\n </td>\n <td>\n 13 (5)\n </td>\n <td>\n 0.37\n </td>\n <td>\n 0.52 (0.38, 0.64)\n </td>\n <td>\n 0.43 (0.18, 0.64)\n </td>\n <td>\n 0.58 (0.37, 0.73)\n </td>\n <td>\n 0.51 (0.33, 0.65)\n </td>\n <td>\n 0.51 (0.21, 0.72)\n </td>\n </tr>\n <tr>\n <td>\n Vitamin C (mg)\n </td>\n <td>\n 192 (94)\n </td>\n <td>\n 227 (109)\n </td>\n <td>\n 0.49\n </td>\n <td>\n 0.64 (0.49, 0.75)\n </td>\n <td>\n 0.73 (0.41, 0.89)\n </td>\n <td>\n 0.56 (0.38, 0.70)\n </td>\n <td>\n 0.63 (0.44, 0.76)\n </td>\n <td>\n 0.59 (0.33, 0.77)\n </td>\n </tr>\n <tr>\n <td>\n Vitamin B1 (mg)\n </td>\n <td>\n 3 (2)\n </td>\n <td>\n 3 (1)\n </td>\n <td>\n 0.41\n </td>\n <td>\n 0.50 (0.37, 0.61)\n </td>\n <td>\n 0.55 (0.30, 0.73)\n </td>\n <td>\n 0.45 (0.28, 0.59)\n </td>\n <td>\n 0.51 (0.34, 0.65)\n </td>\n <td>\n 0.43 (0.21, 0.61)\n </td>\n </tr>\n <tr>\n <td>\n Vitamin B2 (mg)\n </td>\n <td>\n 4 (2)\n </td>\n <td>\n 4 (1)\n </td>\n <td>\n 0.51\n </td>\n <td>\n 0.61 (0.49, 0.71)\n </td>\n <td>\n 0.62 (0.39, 0.77)\n </td>\n <td>\n 0.52 (0.35, 0.65)\n </td>\n <td>\n 0.63 (0.46, 0.75)\n </td>\n <td>\n 0.52 (0.31, 0.68)\n </td>\n </tr>\n <tr>\n <td>\n Niacin (mg)\n </td>\n <td>\n 36 (11)\n </td>\n <td>\n 33 (12)\n </td>\n <td>\n 0.37\n </td>\n <td>\n 0.50 (0.35, 0.62)\n </td>\n <td>\n 0.48 (0.22, 0.67)\n </td>\n <td>\n 0.55 (0.34, 0.70)\n </td>\n <td>\n 0.45 (0.27, 0.60)\n </td>\n <td>\n 0.65 (0.31, 0.84)\n </td>\n </tr>\n <tr>\n <td>\n Folate (mcg)\n </td>\n <td>\n 840 (358)\n </td>\n <td>\n 929 (350)\n </td>\n <td>\n 0.45\n </td>\n <td>\n 0.57 (0.44, 0.67)\n </td>\n <td>\n 0.52 (0.30, 0.69)\n </td>\n <td>\n 0.59 (0.41, 0.72)\n </td>\n <td>\n 0.58 (0.42, 0.70)\n </td>\n <td>\n 0.51 (0.25, 0.70)\n </td>\n </tr>\n <tr>\n <td>\n Vitamin B6 (mg)\n </td>\n <td>\n 4 (2)\n </td>\n <td>\n 4 (1)\n </td>\n <td>\n 0.43\n </td>\n <td>\n 0.53 (0.40, 0.64)\n </td>\n <td>\n 0.50 (0.26, 0.69)\n </td>\n <td>\n 0.54 (0.37, 0.68)\n </td>\n <td>\n 0.51 (0.34, 0.65)\n </td>\n <td>\n 0.53 (0.31, 0.70)\n </td>\n </tr>\n <tr>\n <td>\n Vitamin B12 (mcg)\n </td>\n <td>\n 8 (4)\n </td>\n <td>\n 8 (4)\n </td>\n <td>\n 0.40\n </td>\n <td>\n 0.53 (0.37, 0.67)\n </td>\n <td>\n 0.55 (0.16, 0.79)\n </td>\n <td>\n 0.55 (0.33, 0.71)\n </td>\n <td>\n 0.56 (0.35, 0.72)\n </td>\n <td>\n 0.54 (0.21, 0.75)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n Average correlation:\n </td>\n <td>\n 0.35\n </td>\n <td>\n 0.48\n </td>\n <td>\n 0.46\n </td>\n <td>\n 0.51\n </td>\n <td>\n 0.51\n </td>\n <td>\n 0.48\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 \n Baseline\n \n \n </td>\n <td>\n \n \n Week 4\n \n \n </td>\n <td>\n \n \n Week 8\n \n \n </td>\n <td>\n \n \n Week 12\n \n \n </td>\n <td>\n \n \n Change\n <sup>\n 3\n </sup>\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Total Cholesterol\n \n mmol/L\n </td>\n <td>\n VLCARB\n </td>\n <td>\n 5.92 ± 0.21\n </td>\n <td>\n 5.38 ± 0.20\n </td>\n <td>\n 5.68 ± 0.29\n </td>\n <td>\n 5.82 ± 0.26\n </td>\n <td>\n -0.09 ± 0.20\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n VLF\n </td>\n <td>\n 5.64 ± 0.23\n </td>\n <td>\n 4.83 ± 0.20\n </td>\n <td>\n 4.94 ± 0.23\n </td>\n <td>\n 5.15 ± 0.26\n </td>\n <td>\n -0.49 ± 0.14\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n HUF\n </td>\n <td>\n 6.09 ± 0.23\n </td>\n <td>\n 5.11 ± 0.23\n </td>\n <td>\n 5.27 ± 0.26\n </td>\n <td>\n 5.62 ± 0.24\n </td>\n <td>\n -0.47 ± 0.15\n </td>\n </tr>\n <tr>\n <td>\n \n LDL Cholesterol\n <sup>\n 2\n </sup>\n \n mmol/L\n </td>\n <td>\n VLCARB\n </td>\n <td>\n 3.83 ± 0.18\n </td>\n <td>\n 3.57 ± 0.21\n </td>\n <td>\n 3.89 ± 0.28\n </td>\n <td>\n 4.01 ± 0.26\n </td>\n <td>\n 0.18 ± 0.18\n <sup>\n a\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n VLF\n </td>\n <td>\n 3.65 ± 0.22\n </td>\n <td>\n 3.05 ± 0.18\n </td>\n <td>\n 3.16 ± 0.20\n </td>\n <td>\n 3.25 ± 0.22\n </td>\n <td>\n -0.40 ± 0.11\n <sup>\n b\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n HUF\n </td>\n <td>\n 4.12 ± 0.24\n </td>\n <td>\n 3.38 ± 0.20\n </td>\n <td>\n 3.54 ± 0.25\n </td>\n <td>\n 3.78 ± 0.22\n </td>\n <td>\n -0.34 ± 0.14\n <sup>\n b\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n \n ApoB\n \n g/L\n </td>\n <td>\n VLCARB\n </td>\n <td>\n 1.01 ± 0.05\n </td>\n <td>\n </td>\n <td>\n 0.94 ± 0.05\n </td>\n <td>\n 1.00 ± 0.05\n </td>\n <td>\n -0.02 ± 0.05\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n VLF\n </td>\n <td>\n 0.97 ± 0.05\n </td>\n <td>\n </td>\n <td>\n 0.85 ± 0.05\n </td>\n <td>\n 0.89 ± 0.06\n </td>\n <td>\n -0.07 ± 0.02\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n HUF\n </td>\n <td>\n 1.05 ± 0.06\n </td>\n <td>\n </td>\n <td>\n 0.93 ± 0.06\n </td>\n <td>\n 0.99 ± 0.05\n </td>\n <td>\n -0.06 ± 0.02\n </td>\n </tr>\n <tr>\n <td>\n \n HDL Cholesterol\n <sup>\n 2\n </sup>\n \n mmol/L\n </td>\n <td>\n VLCARB\n </td>\n <td>\n 1.26 ± 0.05\n </td>\n <td>\n 1.27 ± 0.05\n </td>\n <td>\n 1.26 ± 0.05\n </td>\n <td>\n 1.32 ± 0.05\n </td>\n <td>\n 0.06 ± 0.03\n <sup>\n a\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n VLF\n </td>\n <td>\n 1.31 ± 0.07\n </td>\n <td>\n 1.18 ± 0.05\n </td>\n <td>\n 1.15 ± 0.06\n </td>\n <td>\n 1.25 ± 0.06\n </td>\n <td>\n -0.06 ± 0.04\n <sup>\n b\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n HUF\n </td>\n <td>\n 1.26 ± 0.05\n </td>\n <td>\n 1.15 ± 0.05\n </td>\n <td>\n 1.15 ± 0.05\n </td>\n <td>\n 1.19 ± 0.04\n </td>\n <td>\n -0.06 ± 0.03\n <sup>\n b\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n \n Triacylglycerols\n <sup>\n 2\n </sup>\n \n mmol/L\n </td>\n <td>\n VLCARB\n </td>\n <td>\n 1.83 ± 0.19\n </td>\n <td>\n 1.20 ± 0.12\n </td>\n <td>\n 1.16 ± 0.10\n </td>\n <td>\n 1.11 ± 0.10\n </td>\n <td>\n -0.73 ± 0.12\n <sup>\n a\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n VLF\n </td>\n <td>\n 1.51 ± 0.13\n </td>\n <td>\n 1.31 ± 0.10\n </td>\n <td>\n 1.38 ± 0.12\n </td>\n <td>\n 1.44 ± 0.13\n </td>\n <td>\n -0.06 ± 0.13\n <sup>\n b\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n HUF\n </td>\n <td>\n 1.56 ± 0.11\n </td>\n <td>\n 1.27 ± 0.12\n </td>\n <td>\n 1.29 ± 0.11\n </td>\n <td>\n 1.42 ± 0.12\n </td>\n <td>\n -0.15 ± 0.07\n <sup>\n b\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n \n Glucose\n \n mmol/L\n </td>\n <td>\n VLCARB\n </td>\n <td>\n 5.3 ± 0.1\n </td>\n <td>\n 5.2 ± 0.1\n </td>\n <td>\n 5.3 ± 0.1\n </td>\n <td>\n 5.3 ± 0.1\n </td>\n <td>\n -0.1 ± 0.1\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n VLF\n </td>\n <td>\n 5.3 ± 0.1\n </td>\n <td>\n 5.1 ± 0.1\n </td>\n <td>\n 5.2 ± 0.1\n </td>\n <td>\n 5.3 ± 0.1\n </td>\n <td>\n -0.1 ± 0.1\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n HUF\n </td>\n <td>\n 5.4 ± 0.1\n </td>\n <td>\n 5.4 ± 0.1\n </td>\n <td>\n 5.2 ± 0.1\n </td>\n <td>\n 5.2 ± 0.1\n </td>\n <td>\n -0.2 ± 0.1\n </td>\n </tr>\n <tr>\n <td>\n \n Insulin\n <sup>\n 2\n </sup>\n \n mU/L\n </td>\n <td>\n VLCARB\n </td>\n <td>\n 10.7 ± 1.1\n </td>\n <td>\n 8.2 ± 0.8\n </td>\n <td>\n 8.1 ± 1.0\n </td>\n <td>\n 7.1 ± 0.8\n </td>\n <td>\n -3.6 ± 0.5\n <sup>\n a\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n VLF\n </td>\n <td>\n 8.6 ± 0.7\n </td>\n <td>\n 8.2 ± 0.7\n </td>\n <td>\n 7.8 ± 0.8\n </td>\n <td>\n 9.9 ± 1.9\n </td>\n <td>\n 1.3 ± 1.7\n <sup>\n b,c\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n HUF\n </td>\n <td>\n 9.1 ± 0.6\n </td>\n <td>\n 9.0 ± 0.6\n </td>\n <td>\n 7.9 ± 0.6\n </td>\n <td>\n 7.4 ± 0.7\n </td>\n <td>\n -1.7 ± 0.5\n <sup>\n a,c\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n \n Folate\n \n nmol/L\n </td>\n <td>\n VLCARB\n </td>\n <td>\n 23.13 ± 1.46\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 22.52 ± 1.03\n </td>\n <td>\n -0.61 ± 0.84\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n VLF\n </td>\n <td>\n 23.99 ± 1.42\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 27.54 ± 1.10\n </td>\n <td>\n 3.54 ± 1.30\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n HUF\n </td>\n <td>\n 23.95 ± 1.32\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 24.83 ± 1.61\n </td>\n <td>\n 0.88 ± 1.82\n </td>\n </tr>\n <tr>\n <td>\n \n Homocysteine\n <sup>\n 2\n </sup>\n \n umol/L\n </td>\n <td>\n VLCARB\n </td>\n <td>\n 7.28 ± 0.33\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 7.76 ± 0.39\n </td>\n <td>\n 0.56 ± 0.27\n <sup>\n a\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n VLF\n </td>\n <td>\n 7.30 ± 0.45\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 6.80 ± 0.34\n </td>\n <td>\n -0.50 ± 31\n <sup>\n b,c\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n HUF\n </td>\n <td>\n 7.14 ± 0.32\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 7.19 ± 0.30\n </td>\n <td>\n -0.04 ± 0.22\n <sup>\n a,c\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n \n C reactive protein\n \n mg/L\n </td>\n <td>\n VLCARB\n </td>\n <td>\n 5.27 ± 0.71\n </td>\n <td>\n </td>\n <td>\n .\n </td>\n <td>\n 4.51 ± 0.60\n </td>\n <td>\n -0.76 ± 0.56\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n VLF\n </td>\n <td>\n 4.52 ± 0.78\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 3.42 ± 0.70\n </td>\n <td>\n -1.10 ± 0.50\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n HUF\n </td>\n <td>\n 4.52 ± 0.70\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 4.17 ± 0.71\n </td>\n <td>\n -0.35 ± 0.71\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 <sup>\n \n a\n \n </sup>\n \n </td>\n <td>\n \n Cases (N = 323)\n \n </td>\n <td>\n \n Controls (N = 649)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n <underline>\n Age (yrs)\n </underline>\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n <50\n \n </td>\n <td>\n 21%\n </td>\n <td>\n 22 %\n </td>\n </tr>\n <tr>\n <td>\n \n 50–65\n \n </td>\n <td>\n 55\n </td>\n <td>\n 56\n </td>\n </tr>\n <tr>\n <td>\n \n >65\n \n </td>\n <td>\n 24\n </td>\n <td>\n 22\n </td>\n </tr>\n <tr>\n <td>\n \n Mean (SEM)\n \n </td>\n <td>\n 54.2 (0.7)\n </td>\n <td>\n 53.3 (0.4)\n </td>\n </tr>\n <tr>\n <td>\n \n <underline>\n Race\n </underline>\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Caucasian\n \n </td>\n <td>\n 91 %\n </td>\n <td>\n 89 %\n </td>\n </tr>\n <tr>\n <td>\n \n All Other\n \n </td>\n <td>\n 9\n </td>\n <td>\n 11\n </td>\n </tr>\n <tr>\n <td>\n \n <underline>\n Education\n </underline>\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n < 12 yrs\n \n </td>\n <td>\n 12 %\n </td>\n <td>\n 12 %\n </td>\n </tr>\n <tr>\n <td>\n \n 12 yrs\n \n </td>\n <td>\n 53\n </td>\n <td>\n 55\n </td>\n </tr>\n <tr>\n <td>\n \n > 12 yrs\n \n </td>\n <td>\n 31\n </td>\n <td>\n 33\n </td>\n </tr>\n <tr>\n <td>\n \n <underline>\n Parity\n </underline>\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Nulliparous\n \n </td>\n <td>\n 6 %\n </td>\n <td>\n 4 %\n </td>\n </tr>\n <tr>\n <td>\n \n First Pregnancy <30 yrs\n \n </td>\n <td>\n 83\n </td>\n <td>\n 89\n </td>\n </tr>\n <tr>\n <td>\n \n First Pregnancy >30 yrs\n \n </td>\n <td>\n 11\n </td>\n <td>\n 7 (p < 0.05)\n </td>\n </tr>\n <tr>\n <td>\n \n <underline>\n Family History\n </underline>\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Positive\n \n </td>\n <td>\n 29 %\n </td>\n <td>\n 16 %\n </td>\n </tr>\n <tr>\n <td>\n \n Negative\n \n </td>\n <td>\n 71\n </td>\n <td>\n 84 (p < 0.01)\n </td>\n </tr>\n <tr>\n <td>\n \n <underline>\n Body Mass\n </underline>\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n BMI < 22\n \n </td>\n <td>\n 23 %\n </td>\n <td>\n 21 %\n </td>\n </tr>\n <tr>\n <td>\n \n BMI 22–28\n \n </td>\n <td>\n 35\n </td>\n <td>\n 39\n </td>\n </tr>\n <tr>\n <td>\n \n BMI > 28\n \n </td>\n <td>\n 42\n </td>\n <td>\n 40\n </td>\n </tr>\n <tr>\n <td>\n \n Mean (SEM)\n \n </td>\n <td>\n 27.5 (0.9)\n </td>\n <td>\n 27.1 (0.7)\n </td>\n </tr>\n <tr>\n <td>\n \n <underline>\n Menopausal Status\n </underline>\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Premenopausal\n \n </td>\n <td>\n 41 %\n </td>\n <td>\n 47 %\n </td>\n </tr>\n <tr>\n <td>\n \n Postmenopausal\n \n </td>\n <td>\n 59\n </td>\n <td>\n 53 (p < 0.05)\n </td>\n </tr>\n <tr>\n <td>\n \n Postmenopausal ERT\n \n </td>\n <td>\n 38\n </td>\n <td>\n 31 (p < 0.05)\n </td>\n </tr>\n <tr>\n <td>\n \n <underline>\n Smoking\n </underline>\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Never smoker\n \n </td>\n <td>\n 45 %\n </td>\n <td>\n 40 %\n </td>\n </tr>\n <tr>\n <td>\n \n Ex-smoker\n \n </td>\n <td>\n 38\n </td>\n <td>\n 40\n </td>\n </tr>\n <tr>\n <td>\n \n Current smoker\n \n </td>\n <td>\n 27\n </td>\n <td>\n 20 (p < 0.02)\n </td>\n </tr>\n <tr>\n <td>\n \n <underline>\n Alcohol Intake\n </underline>\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n None\n \n </td>\n <td>\n 47 %\n </td>\n <td>\n 45 %\n </td>\n </tr>\n <tr>\n <td>\n \n 1–2 drinks per week\n \n </td>\n <td>\n 36\n </td>\n <td>\n 35\n </td>\n </tr>\n <tr>\n <td>\n \n > 2 drinks per week\n \n </td>\n <td>\n 17\n </td>\n <td>\n 20\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 Partially Adjusted Model\n \n </td>\n <td>\n \n Fully Adjusted Model\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n Rate Ratio\n </td>\n <td>\n Rate Ratio\n </td>\n </tr>\n <tr>\n <td>\n <sup>\n a\n </sup>\n Agegroup:\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 0–19\n </td>\n <td>\n 1.84 (1.48 2.29)\n </td>\n <td>\n 1.81 (1.48 2.20)\n </td>\n </tr>\n <tr>\n <td>\n 20–39\n </td>\n <td>\n 1.72 (1.39 2.14)\n </td>\n <td>\n 1.80 (1.47 2.19)\n </td>\n </tr>\n <tr>\n <td>\n 40–59\n </td>\n <td>\n 1.27 (1.01 1.59)\n </td>\n <td>\n 1.28 (1.04 1.58)\n </td>\n </tr>\n <tr>\n <td>\n 60–69\n </td>\n <td>\n 1.07 (0.80 1.44)\n </td>\n <td>\n 1.06 (0.81 1.38)\n </td>\n </tr>\n <tr>\n <td>\n 70+ (reference)\n </td>\n <td>\n 1.0\n </td>\n <td>\n 1.0\n </td>\n </tr>\n <tr>\n <td>\n <sup>\n a\n </sup>\n Gender:\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Male\n </td>\n <td>\n 1.29 (1.16 1.43)\n </td>\n <td>\n 1.25 (1.14 1.38)\n </td>\n </tr>\n <tr>\n <td>\n Female (reference)\n </td>\n <td>\n 1.0\n </td>\n <td>\n 1.0\n </td>\n </tr>\n <tr>\n <td>\n <sup>\n ab\n </sup>\n Urban/Rural:\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Rural\n </td>\n <td>\n 2.06 (1.86 2.27)\n </td>\n <td>\n 1.46 (1.23 1.73)\n </td>\n </tr>\n <tr>\n <td>\n Urban (reference)\n </td>\n <td>\n 1.0\n </td>\n <td>\n 1.0\n </td>\n </tr>\n <tr>\n <td>\n <sup>\n ab\n </sup>\n Socio-Economic Status Index (SESI)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Low – Reference\n </td>\n <td>\n 1.0\n </td>\n <td>\n 1.0\n </td>\n </tr>\n <tr>\n <td>\n Medium\n </td>\n <td>\n 1.03 (0.92 1.16)\n </td>\n <td>\n 1.14 (1.02 1.27)\n </td>\n </tr>\n <tr>\n <td>\n High\n </td>\n <td>\n 0.86 (0.74 1.00)\n </td>\n <td>\n 1.49 (1.27 1.74)\n </td>\n </tr>\n <tr>\n <td>\n <sup>\n ab\n </sup>\n Agricultural Occupation\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Low – Reference\n </td>\n <td>\n 1.0\n </td>\n <td>\n 1.0\n </td>\n </tr>\n <tr>\n <td>\n Medium\n </td>\n <td>\n 2.48 (2.23 2.76)\n </td>\n <td>\n 1.81 (1.59 2.06)\n </td>\n </tr>\n <tr>\n <td>\n High\n </td>\n <td>\n 2.90 (2.43 3.45)\n </td>\n <td>\n 2.21 (1.82 2.69)\n </td>\n </tr>\n <tr>\n <td>\n <sup>\n ab\n </sup>\n Composite Animal Density Index (CADI)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Low – Reference\n </td>\n <td>\n 1.0\n </td>\n <td>\n 1.0\n </td>\n </tr>\n <tr>\n <td>\n Medium\n </td>\n <td>\n 1.96 (1.76 2.18)\n </td>\n <td>\n 1.15 (0.98 1.35)\n </td>\n </tr>\n <tr>\n <td>\n High\n </td>\n <td>\n 2.81 (2.42 3.27)\n </td>\n <td>\n 1.68 (1.39 2.02)\n </td>\n </tr>\n <tr>\n <td>\n <sup>\n bc\n </sup>\n Cow Density\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Low – Reference\n </td>\n <td>\n 1.0\n </td>\n <td>\n 1.0\n </td>\n </tr>\n <tr>\n <td>\n Medium\n </td>\n <td>\n 1.83 (1.63 2.05)\n </td>\n <td>\n 1.11 (0.95 1.31)\n </td>\n </tr>\n <tr>\n <td>\n High\n </td>\n <td>\n 2.75 (2.41 3.13)\n </td>\n <td>\n 1.54 (1.30 1.83)\n </td>\n </tr>\n <tr>\n <td>\n <sup>\n bc\n </sup>\n Pig Density\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Low – Reference\n </td>\n <td>\n 1.0\n </td>\n <td>\n 1.0\n </td>\n </tr>\n <tr>\n <td>\n Medium\n </td>\n <td>\n 1.86 (1.64 2.11)\n </td>\n <td>\n 1.12 (0.98 1.28)\n </td>\n </tr>\n <tr>\n <td>\n High\n </td>\n <td>\n 2.73 (2.19 3.40)\n </td>\n <td>\n 1.99 (1.61 2.46)\n </td>\n </tr>\n <tr>\n <td>\n <sup>\n bc\n </sup>\n Chicken Density\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Low – Reference\n </td>\n <td>\n 1.0\n </td>\n <td>\n 1.0\n </td>\n </tr>\n <tr>\n <td>\n Medium\n </td>\n <td>\n 1.21 (0.87 1.67)\n </td>\n <td>\n 0.91 (0.68 1.23)\n </td>\n </tr>\n <tr>\n <td>\n High\n </td>\n <td>\n 2.58 (2.08 3.19)\n </td>\n <td>\n 2.11 (1.73 2.58)\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 Isozyme\n \n </td>\n <td>\n \n GenBank Accession #\n \n </td>\n <td>\n \n # amino acids\n \n </td>\n <td>\n \n # (S/T)P sites\n \n </td>\n <td>\n \n Site(s) with the consensus PX(S/T)P sequence\n \n </td>\n <td>\n \n FXFP motif\n \n </td>\n <td>\n \n D-domain motif\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"7\">\n \n monophosphatase\n \n </td>\n </tr>\n <tr>\n <td>\n inositol monophosphatase A1\n </td>\n <td>\n O55023\n </td>\n <td>\n 277\n </td>\n <td>\n 2\n </td>\n <td>\n none\n </td>\n <td>\n none\n </td>\n <td>\n <sup>\n 261\n </sup>\n RIAKEIEI\n <sup>\n 261\n </sup>\n RIAKEIEIIPL\n </td>\n </tr>\n <tr>\n <td colspan=\"7\">\n \n 3-phosphatase\n \n </td>\n </tr>\n <tr>\n <td>\n Myotubularin-related protein 1; MTMR1\n </td>\n <td>\n NP_058681\n </td>\n <td>\n 669\n </td>\n <td>\n 4\n </td>\n <td>\n none\n </td>\n <td>\n none\n </td>\n <td>\n <sup>\n 181\n </sup>\n KDMRNLRL\n </td>\n </tr>\n <tr>\n <td>\n PI(3,4,5)P\n <sub>\n 3\n </sub>\n 3-phosphatase, PTEN\n </td>\n <td>\n O08586\n </td>\n <td>\n 403\n </td>\n <td>\n 2\n </td>\n <td>\n none\n </td>\n <td>\n <sup>\n 241\n </sup>\n FEFP\n </td>\n <td>\n none\n </td>\n </tr>\n <tr>\n <td colspan=\"7\">\n \n 4-phosphatase\n \n </td>\n </tr>\n <tr>\n <td>\n Inositol polyphosphate 4-phosphatase, Type Ia\n </td>\n <td>\n NP_084542\n </td>\n <td>\n 939\n </td>\n <td>\n 7\n </td>\n <td>\n none\n </td>\n <td>\n none\n </td>\n <td>\n <sup>\n 147\n </sup>\n RHHRLHLTL\n </td>\n </tr>\n <tr>\n <td>\n SAC1 poly-phosphatidylinositol phosphatase\n </td>\n <td>\n CAC20672\n </td>\n <td>\n 587\n </td>\n <td>\n 3\n </td>\n <td>\n none\n </td>\n <td>\n none\n </td>\n <td>\n <sup>\n 345\n </sup>\n KNMRWDRLSI\n <sup>\n 348\n </sup>\n RWDRLSILL\n <sup>\n 461\n </sup>\n RTGKRTQLGL\n <sup>\n 517\n </sup>\n RDWKFLAL\n <sup>\n 517\n </sup>\n RDWKFLALPI\n </td>\n </tr>\n <tr>\n <td colspan=\"7\">\n \n 5-phosphatase\n \n </td>\n </tr>\n <tr>\n <td colspan=\"7\">\n \n Group II\n \n </td>\n </tr>\n <tr>\n <td>\n Inositol polyphosphate 5-phosphatase OCRL\n </td>\n <td>\n NP_796189\n </td>\n <td>\n 900\n </td>\n <td>\n 2\n </td>\n <td>\n none\n </td>\n <td>\n none\n </td>\n <td>\n <sup>\n 445\n </sup>\n KLLKFDGLNI\n </td>\n </tr>\n <tr>\n <td>\n Synaptojanin 2 (synaptic inositol 1,4,5-trisphosphate 5-phosphatase 2)\n </td>\n <td>\n Q9D2G5\n </td>\n <td>\n 1434\n </td>\n <td>\n 15\n </td>\n <td>\n <sup>\n 987\n </sup>\n PVSP\n </td>\n <td>\n none\n </td>\n <td>\n <sup>\n 617\n </sup>\n RSHRYILL\n </td>\n </tr>\n <tr>\n <td>\n Sac-domain-containing inositol phosphatase 3\n </td>\n <td>\n NP_598760\n </td>\n <td>\n 907\n </td>\n <td>\n 5\n </td>\n <td>\n none\n </td>\n <td>\n none\n </td>\n <td>\n <sup>\n 663\n </sup>\n KFHRWEEEIDI\n </td>\n </tr>\n <tr>\n <td>\n Inositol polyphosphate 5-phosphatase, 75 kDa; Inositol polyphosphate 5-phosphatase B\n </td>\n <td>\n NP_032411\n </td>\n <td>\n 993\n </td>\n <td>\n 5\n </td>\n <td>\n none\n </td>\n <td>\n none\n </td>\n <td>\n <sup>\n 31\n </sup>\n RQSRLLGL\n <sup>\n 420\n </sup>\n KFVRLVGIML\n </td>\n </tr>\n <tr>\n <td colspan=\"7\">\n \n Group III\n \n </td>\n </tr>\n <tr>\n <td>\n Inositol polyphosphate 5-phosphatase, 145 kDa; inositol polyphosphate 5-phosphatase D; SH2-containing inositol 5'-phosphatase 1; SHIP1\n </td>\n <td>\n NP_034696\n </td>\n <td>\n 1191\n </td>\n <td>\n 12\n </td>\n <td>\n <sup>\n 962\n </sup>\n PPTP\n <sup>\n 970\n </sup>\n PLSP\n </td>\n <td>\n none\n </td>\n <td>\n <sup>\n 352\n </sup>\n KSQKFLNKLVI\n </td>\n </tr>\n <tr>\n <td colspan=\"7\">\n \n Group IV\n \n </td>\n </tr>\n <tr>\n <td>\n PI polyphosphate 5-phosphatase type IV; Inositol polyphosphate 5-phosphatase E\n </td>\n <td>\n Q9JII1\n </td>\n <td>\n 647\n </td>\n <td>\n 7\n </td>\n <td>\n <sup>\n 243\n </sup>\n PRSP\n </td>\n <td>\n none\n </td>\n <td>\n <sup>\n 83\n </sup>\n KLERTLSL\n <sup>\n 599\n </sup>\n RPGRDNIPL\n <sup>\n 611\n </sup>\n KFDRELYL\n <sup>\n 611\n </sup>\n KFDRELYLIGI\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 colspan=\"3\">\n \n Group I\n \n </td>\n <td colspan=\"3\">\n \n Group II\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Number\n \n </td>\n <td>\n \n Mean\n \n </td>\n <td>\n \n SD\n \n </td>\n <td>\n \n Number\n \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 \n Mean distance from tip of root canal filling to radiographic apex (mm)\n \n </td>\n <td>\n 67\n </td>\n <td>\n -0.5\n </td>\n <td>\n 0.5\n </td>\n <td>\n 84\n </td>\n <td>\n -0.4\n </td>\n <td>\n 0.5\n </td>\n </tr>\n <tr>\n <td>\n \n Number of Radiographs (mean)\n \n </td>\n <td>\n 67\n </td>\n <td>\n 2.0\n </td>\n <td>\n 0.1\n </td>\n <td>\n 84\n </td>\n <td>\n 3.2\n </td>\n <td>\n 0.5\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 </td>\n <td>\n \n Type-I% ≤60% (n = 20)\n \n </td>\n <td>\n \n Type-I% >60% (n = 20)\n \n </td>\n <td>\n \n \n P\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age (years)\n </td>\n <td>\n 57.4 (4.8)\n </td>\n <td>\n 60.5 (7.2)\n </td>\n <td>\n 0.11\n </td>\n </tr>\n <tr>\n <td>\n Type-I%\n </td>\n <td>\n 47.6 (10.6)\n </td>\n <td>\n 71.6 (7.8)\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n BMI at the age of 20 (kg/m\n <sup>\n 2\n </sup>\n )\n </td>\n <td>\n 21.7 (1.5)\n </td>\n <td>\n 21.8 (2.0)\n </td>\n <td>\n 0.90\n </td>\n </tr>\n <tr>\n <td>\n BMI in 1984 (kg/m\n <sup>\n 2\n </sup>\n )\n </td>\n <td>\n 24.1 (2.9)\n </td>\n <td>\n 22.4 (2.6)\n </td>\n <td>\n 0.05\n </td>\n </tr>\n <tr>\n <td>\n BMI in 2003 (kg/m\n <sup>\n 2\n </sup>\n )\n </td>\n <td>\n 27.5 (4.4)\n </td>\n <td>\n 24.0 (3.3)\n </td>\n <td>\n 0.007\n </td>\n </tr>\n <tr>\n <td>\n Weight gain/year (kg/m\n <sup>\n 2\n </sup>\n ) until 2003\n </td>\n <td>\n 0.16 (0.11)\n </td>\n <td>\n 0.06 (0.06)\n </td>\n <td>\n 0.002\n </td>\n </tr>\n <tr>\n <td>\n Waist/hip ratio in 2003\n </td>\n <td>\n 1.00 (0.005)\n </td>\n <td>\n 0.94 (0.006)\n </td>\n <td>\n 0.002\n </td>\n </tr>\n <tr>\n <td>\n Body fat % in 2003\n </td>\n <td>\n 25.5 (5.0)\n </td>\n <td>\n 19.4 (4.2)\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n LTPA in 2003 (MET)\n </td>\n <td>\n 26.5 (17.1)\n </td>\n <td>\n 42.6 (23.9)\n </td>\n <td>\n 0.019\n </td>\n </tr>\n <tr>\n <td>\n Alcohol consumption (g/day) in 2003\n </td>\n <td>\n 14.3 (9.4)\n </td>\n <td>\n 16.7 (14.7)\n </td>\n <td>\n 0.55\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 PSI\n \n </td>\n <td>\n \n PSI with Gaps\n \n </td>\n <td>\n \n Seq-Match\n \n </td>\n <td>\n \n Tree-parsing\n \n </td>\n <td colspan=\"3\">\n \n DOTUR\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 \n FN\n \n </td>\n <td>\n \n NN\n \n </td>\n <td>\n \n AN\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n # of groups\n </td>\n <td>\n 209 ± 2\n </td>\n <td>\n 160 ± 4\n </td>\n <td>\n 140 ± 3\n </td>\n <td>\n 200\n </td>\n <td>\n 132\n </td>\n <td>\n 122\n </td>\n <td>\n 126\n </td>\n </tr>\n <tr>\n <td>\n Richness (Chao1)\n </td>\n <td>\n 599 ± 27\n </td>\n <td>\n 359 ± 22\n </td>\n <td>\n 281 ± 8\n </td>\n <td>\n 440\n </td>\n <td>\n 249\n </td>\n <td>\n 241\n </td>\n <td>\n 246\n </td>\n </tr>\n <tr>\n <td>\n Diversity (Shannon-Wiener)\n </td>\n <td>\n 3.98 ± 0.04\n </td>\n <td>\n 3.62 ± 0.10\n </td>\n <td>\n 3.35 ± 0.19\n </td>\n <td>\n 4.5\n </td>\n <td>\n 3.58\n </td>\n <td>\n 3.04\n </td>\n <td>\n 3.07\n </td>\n </tr>\n <tr>\n <td>\n # of singletons\n </td>\n <td>\n 148 ± 2\n </td>\n <td>\n 99.7 ± 3.2\n </td>\n <td>\n 80.8 ± 1.7\n </td>\n <td>\n 120\n </td>\n <td>\n 72\n </td>\n <td>\n 69\n </td>\n <td>\n 71\n </td>\n </tr>\n <tr>\n <td>\n # of doubletons\n </td>\n <td>\n 28.2 ± 1.5\n </td>\n <td>\n 25.3 ± 2.7\n </td>\n <td>\n 23.2 ± 0.9\n </td>\n <td>\n 29\n </td>\n <td>\n 22\n </td>\n <td>\n 20\n </td>\n <td>\n 21\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 Cell Lineage [No of loci]\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n NALM-6 [n = 324]\n \n </td>\n <td>\n \n IM-9 [n = 448]\n \n </td>\n <td>\n \n PLB-985 [n = 432]\n \n </td>\n <td>\n \n AML-193 [n = 444]\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n MLL-ENL\n \n </td>\n <td>\n 45.0 ± 1.1%\n </td>\n <td>\n 45.3 ± 1.0%\n </td>\n <td>\n 45.7 ± 0.9%\n </td>\n <td>\n 39.4 ± 0.8%\n </td>\n </tr>\n <tr>\n <td>\n \n MLL-AF4\n \n </td>\n <td>\n 54.8 ± 1.1%\n </td>\n <td>\n 55.4 ± 1.0%\n </td>\n <td>\n 57.8 ± 1.0%\n </td>\n <td>\n 46.6 ± 0.9%\n </td>\n </tr>\n <tr>\n <td>\n \n AF4-ENL\n \n </td>\n <td>\n 48.5 ± 1.1%\n </td>\n <td>\n 50.6 ± 0.9%\n </td>\n <td>\n 43.7 ± 0.8%\n </td>\n <td>\n 49.5 ± 1.0%\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 \n Unigene\n \n </td>\n <td>\n \n GO Term EST Coverage (Unfertilized egg/embryos)\n \n </td>\n <td>\n \n GO_description\n \n </td>\n <td>\n \n GO_ID\n \n </td>\n <td>\n \n Type\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Mm.236553 Cathepsin B\n </td>\n <td>\n 1/11\n </td>\n <td>\n cathepsin B activity\n </td>\n <td>\n GO:0004213\n </td>\n <td>\n F\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n peroxidase activity\n </td>\n <td>\n GO:0004601\n </td>\n <td>\n F\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n extracellular space\n </td>\n <td>\n GO:0005615\n </td>\n <td>\n C\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n mitochondrion\n </td>\n <td>\n GO:0005739\n </td>\n <td>\n C\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n lysosome\n </td>\n <td>\n GO:0005764\n </td>\n <td>\n C\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n proteolysis and peptidolysis\n </td>\n <td>\n GO:0006508\n </td>\n <td>\n P\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n protein targeting\n </td>\n <td>\n GO:0006605\n </td>\n <td>\n P\n </td>\n </tr>\n <tr>\n <td>\n Mm.322945 Cathepsin C\n </td>\n <td>\n 0/5\n </td>\n <td>\n cysteine-type endopeptidase activity\n </td>\n <td>\n GO:0004197\n </td>\n <td>\n F\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n dipeptidyl-peptidase I activity\n </td>\n <td>\n GO:0004214\n </td>\n <td>\n F\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n extracellular space\n </td>\n <td>\n GO:0005615\n </td>\n <td>\n C\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n lysosome\n </td>\n <td>\n GO:0005764\n </td>\n <td>\n C\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n proteolysis and peptidolysis\n </td>\n <td>\n GO:0006508\n </td>\n <td>\n P\n </td>\n </tr>\n <tr>\n <td>\n Mm.231395 Cathepsin D\n </td>\n <td>\n 0/15\n </td>\n <td>\n cathepsin D activity\n </td>\n <td>\n GO:0004192\n </td>\n <td>\n F\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n pepsin A activity\n </td>\n <td>\n GO:0004194\n </td>\n <td>\n F\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n mitochondrion\n </td>\n <td>\n GO:0005739\n </td>\n <td>\n C\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n lysosome\n </td>\n <td>\n GO:0005764\n </td>\n <td>\n C\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n proteolysis and peptidolysis\n </td>\n <td>\n GO:0006508\n </td>\n <td>\n P\n </td>\n </tr>\n <tr>\n <td>\n Mm.930 Cathepsin L\n </td>\n <td>\n 0/20\n </td>\n <td>\n cathepsin L activity\n </td>\n <td>\n GO:0004217\n </td>\n <td>\n F\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n extracellular space\n </td>\n <td>\n GO:0005615\n </td>\n <td>\n C\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n lysosome\n </td>\n <td>\n GO:0005764\n </td>\n <td>\n C\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n proteolysis and peptidolysis\n </td>\n <td>\n GO:0006508\n </td>\n <td>\n P\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n antinidain activity\n </td>\n <td>\n GO:0008129\n </td>\n <td>\n F\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 Factor\n \n </td>\n <td>\n \n n (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Sex\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Female\n </td>\n <td>\n 20518 (45%)\n </td>\n </tr>\n <tr>\n <td>\n Male\n </td>\n <td>\n 24877 (55%)\n </td>\n </tr>\n <tr>\n <td>\n \n Age group\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Up to 34 years old\n </td>\n <td>\n 8349 (18%)\n </td>\n </tr>\n <tr>\n <td>\n 35 to 44 years old\n </td>\n <td>\n 5069 (11%)\n </td>\n </tr>\n <tr>\n <td>\n 45 to 54 years old\n </td>\n <td>\n 6626 (15%)\n </td>\n </tr>\n <tr>\n <td>\n 55 years and above\n </td>\n <td>\n 25351 (56%)\n </td>\n </tr>\n <tr>\n <td>\n \n Median age (IQR) in years\n \n </td>\n <td>\n 58 (41–73)\n </td>\n </tr>\n <tr>\n <td>\n \n Admission type\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Elective\n </td>\n <td>\n 4240 (9%)\n </td>\n </tr>\n <tr>\n <td>\n Emergency\n </td>\n <td>\n 41155 (91%)\n </td>\n </tr>\n <tr>\n <td>\n \n Source of admission\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Emergency Department\n </td>\n <td>\n 24394 (54%)\n </td>\n </tr>\n <tr>\n <td>\n Specialist Outpatient Clinic\n </td>\n <td>\n 5098 (11%)\n </td>\n </tr>\n <tr>\n <td>\n Ward\n </td>\n <td>\n 815 (2%)\n </td>\n </tr>\n <tr>\n <td>\n Not Available\n </td>\n <td>\n 15088 (33%)\n </td>\n </tr>\n <tr>\n <td>\n \n Day of week admitted\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Monday\n </td>\n <td>\n 7458 (16%)\n </td>\n </tr>\n <tr>\n <td>\n Tuesday\n </td>\n <td>\n 7127 (16%)\n </td>\n </tr>\n <tr>\n <td>\n Wednesday\n </td>\n <td>\n 6926 (15%)\n </td>\n </tr>\n <tr>\n <td>\n Thursday\n </td>\n <td>\n 6890 (15%)\n </td>\n </tr>\n <tr>\n <td>\n Friday\n </td>\n <td>\n 6442 (14%)\n </td>\n </tr>\n <tr>\n <td>\n Saturday\n </td>\n <td>\n 5501 (12%)\n </td>\n </tr>\n <tr>\n <td>\n Sunday\n </td>\n <td>\n 5051 (11%)\n </td>\n </tr>\n <tr>\n <td>\n \n Admission on\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Public holiday\n </td>\n <td>\n 1137 (3%)\n </td>\n </tr>\n <tr>\n <td>\n Eve of public holiday\n </td>\n <td>\n 1255 (3%)\n </td>\n </tr>\n <tr>\n <td>\n Weekend (Fri-Sun)\n </td>\n <td>\n 16994 (37%)\n </td>\n </tr>\n <tr>\n <td>\n \n Admission time\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 0800 to 1229 hrs\n </td>\n <td>\n 8352 (18%)\n </td>\n </tr>\n <tr>\n <td>\n 1230 to 1659 hrs\n </td>\n <td>\n 15613 (34%)\n </td>\n </tr>\n <tr>\n <td>\n 1700 to 0759 hrs\n </td>\n <td>\n 21430 (47%)\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 Keywords used: (Pain) AND (Scale OR assessment OR measure) AND (Elderly OR residents ORgeriatric OR nursing homes OR cognitive impairment OR dementia OR Alzheimer)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Source\n \n </td>\n <td>\n \n Hits (N =)\n \n </td>\n <td>\n \n Selection based on reading abstracts (N =)\n \n </td>\n <td>\n \n Final selection based on publications (N =)\n \n </td>\n </tr>\n <tr>\n <td>\n Databases\n </td>\n <td>\n Psychinfo 191\n </td>\n <td>\n 29\n </td>\n <td>\n 31\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Medline 977\n </td>\n <td>\n 70*\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n CINAHL*** 219\n </td>\n <td>\n 17**\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Abstracts\n </td>\n <td>\n 8\n </td>\n <td>\n 5\n </td>\n <td>\n 5\n </td>\n </tr>\n <tr>\n <td>\n Citation/reference screening\n </td>\n <td>\n 37\n </td>\n <td>\n 17\n </td>\n <td>\n 15\n </td>\n </tr>\n <tr>\n <td>\n Unpublished manuscripts\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 Total\n </td>\n <td>\n </td>\n <td>\n 141\n </td>\n <td>\n 54\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 Low SES\n \n </td>\n <td colspan=\"3\">\n \n High SES\n \n </td>\n <td colspan=\"3\">\n \n Total sample\n \n </td>\n <td>\n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n \n n\n \n </td>\n <td>\n \n β\n \n </td>\n <td>\n \n 95% CI\n \n </td>\n <td>\n \n n\n \n </td>\n <td>\n \n β\n \n </td>\n <td>\n \n 95% CI\n \n </td>\n <td>\n \n n\n \n </td>\n <td>\n \n β\n \n </td>\n <td>\n \n 95% CI\n \n </td>\n <td>\n \n P\n \n <sup>\n a\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n \n Physical fitness\n \n </td>\n <td>\n 133\n </td>\n <td>\n 0.45\n </td>\n <td>\n 0.25–0.64\n </td>\n <td>\n 195\n </td>\n <td>\n 0.54\n </td>\n <td>\n 0.41–0.67\n </td>\n <td>\n 328\n </td>\n <td>\n 0.50\n </td>\n <td>\n 0.38–0.61\n </td>\n <td>\n 0.54\n </td>\n </tr>\n <tr>\n <td>\n \n Body Mass Index\n \n </td>\n <td>\n 161\n </td>\n <td>\n 0.75\n </td>\n <td>\n 0.61–0.90\n </td>\n <td>\n 219\n </td>\n <td>\n 0.70\n </td>\n <td>\n 0.60–0.80\n </td>\n <td>\n 380\n </td>\n <td>\n 0.73\n </td>\n <td>\n 0.64–0.81\n </td>\n <td>\n 0.60\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=\"4\">\n \n Dengue tests in febrile patients\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n \n Upon presentation (t0)\n \n </td>\n <td colspan=\"2\">\n \n After convalescence (t3)\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n IgM\n \n </td>\n <td>\n \n IgG\n \n </td>\n <td>\n \n IgM\n \n </td>\n <td>\n \n IgG\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Total cases tested\n </td>\n <td colspan=\"4\">\n 781\n </td>\n </tr>\n <tr>\n <td>\n Storage time (days, median, range)\n </td>\n <td colspan=\"2\">\n 252 (57 – 751) days\n </td>\n <td colspan=\"2\">\n 228 (36 – 730)\n </td>\n </tr>\n <tr>\n <td>\n No. positive sera (index value ≥1)\n </td>\n <td>\n 222 (28%)\n </td>\n <td>\n 673 (86%)\n </td>\n <td>\n 261 (33%)\n </td>\n <td>\n 679 (87%)\n </td>\n </tr>\n <tr>\n <td>\n No. cases tested twice\n </td>\n <td>\n 73\n </td>\n <td>\n 74\n </td>\n <td>\n 73\n </td>\n <td>\n 73\n </td>\n </tr>\n <tr>\n <td>\n Median storage time first test (days, range)\n </td>\n <td colspan=\"2\">\n 114 (57 – 283)\n </td>\n <td colspan=\"2\">\n 92.5 (36 – 253)\n </td>\n </tr>\n <tr>\n <td>\n Median storage time second test (days, range)\n </td>\n <td colspan=\"2\">\n 280 (225 – 798)\n </td>\n <td colspan=\"2\">\n 259 (204 – 777)\n </td>\n </tr>\n <tr>\n <td>\n No. positive first test\n </td>\n <td>\n 9 (12%)\n </td>\n <td>\n 59 (80%)\n </td>\n <td>\n 17 (23%)\n </td>\n <td>\n 56 (77%)\n </td>\n </tr>\n <tr>\n <td>\n No. positive second tests\n </td>\n <td>\n 23 (32%)\n </td>\n <td>\n 63 (85%)\n </td>\n <td>\n 23 (32%)\n </td>\n <td>\n 61 (84%)\n </td>\n </tr>\n <tr>\n <td>\n P value (Chi Square test)\n </td>\n <td>\n <0.001\n </td>\n <td>\n <0.001\n </td>\n <td>\n <0.001\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n No. of combined sera and blood spots on filter paper tested\n </td>\n <td colspan=\"4\">\n 161\n </td>\n </tr>\n <tr>\n <td>\n Median storage time (days, range)\n </td>\n <td colspan=\"2\">\n 283 (139 – 795)\n </td>\n <td colspan=\"2\">\n 262 (118 – 774)\n </td>\n </tr>\n <tr>\n <td>\n No. positive sera\n </td>\n <td>\n 46 (29%)\n </td>\n <td>\n 121 (75%)\n </td>\n <td>\n 89 (55%)\n </td>\n <td>\n 128 (80%)\n </td>\n </tr>\n <tr>\n <td>\n No. positive filter papers\n </td>\n <td>\n 8 (5%)\n </td>\n <td>\n 97 (60%)\n </td>\n <td>\n 55 (34%)\n </td>\n <td>\n 123 (76%)\n </td>\n </tr>\n <tr>\n <td>\n P value (Chi Square test)\n </td>\n <td>\n <0.0001\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n <0.0001\n </td>\n <td>\n <0.0001\n </td>\n </tr>\n <tr>\n <td>\n Kappa value\n </td>\n <td>\n 0.191\n </td>\n <td>\n 0.391\n </td>\n <td>\n 0.567\n </td>\n <td>\n 0.549\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 Name\n \n </td>\n <td>\n \n SignalP\n \n </td>\n <td colspan=\"9\">\n \n ERFNIN motif\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n \n propability [%]\n \n </td>\n <td>\n \n E\n \n </td>\n <td>\n \n X\n \n <sub>\n 2/3\n </sub>\n </td>\n <td>\n \n R\n \n </td>\n <td>\n \n (I/V)\n \n </td>\n <td>\n \n F\n \n </td>\n <td>\n \n N\n \n </td>\n <td>\n \n (I/V)\n \n </td>\n <td>\n \n X\n \n <sub>\n 1/2/3\n </sub>\n </td>\n <td>\n \n N\n \n </td>\n </tr>\n <tr>\n <td>\n 136.m00075\n </td>\n <td>\n 79\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n 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 295.m00026\n </td>\n <td>\n 73\n </td>\n <td>\n E\n </td>\n <td>\n 2\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n 2\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 295.m00023\n </td>\n <td>\n 98\n </td>\n <td>\n E\n </td>\n <td>\n 2\n </td>\n <td>\n R\n </td>\n <td>\n I\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n V\n </td>\n <td>\n 2\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 1.m00874\n </td>\n <td>\n 97\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n 103.m00130\n </td>\n <td>\n 93\n </td>\n <td>\n E\n </td>\n <td>\n 2\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n 5.m00542\n </td>\n <td>\n 98\n </td>\n <td>\n E\n </td>\n <td>\n 2\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n V\n </td>\n <td>\n 1\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 24.m00271\n </td>\n <td>\n 99\n </td>\n <td>\n E\n </td>\n <td>\n 2\n </td>\n <td>\n R\n </td>\n <td>\n I\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n 5.m00535\n </td>\n <td>\n 98\n </td>\n <td>\n E\n </td>\n <td>\n 2\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n V\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n 147.m00097\n </td>\n <td>\n 98\n </td>\n <td>\n E\n </td>\n <td>\n 2\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n 120.m00105\n </td>\n <td>\n 99\n </td>\n <td>\n E\n </td>\n <td>\n 2\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n V\n </td>\n <td>\n 1\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 150.m00098\n </td>\n <td>\n 96\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n I\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 89.m00111\n </td>\n <td>\n 99\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 304.m00023\n </td>\n <td>\n 100\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n R\n </td>\n <td>\n I\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 13.m00464\n </td>\n <td>\n 93\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n R\n </td>\n <td>\n I\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n V\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 61.m00268\n </td>\n <td>\n 96\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n R\n </td>\n <td>\n I\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n 9.m00484\n </td>\n <td>\n 100\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n V\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 9.m00485\n </td>\n <td>\n 100\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 9.m00486\n </td>\n <td>\n 100\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 98.m00123\n </td>\n <td>\n 98\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n V\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 98.m00125\n </td>\n <td>\n 98\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n V\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 98.m00126\n </td>\n <td>\n 98\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n V\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 98.m00131\n </td>\n <td>\n 100\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n V\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 98.m00128\n </td>\n <td>\n 98\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n V\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 156.m00128\n </td>\n <td>\n 100\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 156.m00129\n </td>\n <td>\n 100\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 343.m00015\n </td>\n <td>\n 100\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 343.m00014\n </td>\n <td>\n 100\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 156.m00109\n </td>\n <td>\n 100\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 5.m00554\n </td>\n <td>\n 100\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n I\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n V\n </td>\n <td>\n 3\n </td>\n <td>\n N\n </td>\n </tr>\n <tr>\n <td>\n 49.m00253\n </td>\n <td>\n 100\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n V\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n 218.m00064\n </td>\n <td>\n 100\n </td>\n <td>\n E\n </td>\n <td>\n 3\n </td>\n <td>\n R\n </td>\n <td>\n L\n </td>\n <td>\n F\n </td>\n <td>\n N\n </td>\n <td>\n I\n </td>\n <td>\n 3\n </td>\n <td>\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 \n Parameter\n \n </td>\n <td colspan=\"2\">\n \n EGFR IHC\n \n </td>\n <td>\n \n \n P\n \n \n </td>\n <td colspan=\"2\">\n \n \n EGFR\n \n CISH\n \n </td>\n <td>\n \n \n P\n \n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Negative\n \n </td>\n <td>\n \n Overexpression\n \n </td>\n <td>\n </td>\n <td>\n \n No\n \n </td>\n <td>\n \n Amplified\n \n </td>\n <td>\n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age (years)\n </td>\n <td>\n 54.2 (13.3)\n </td>\n <td>\n 48.8 (13.3)\n </td>\n <td>\n >0.05\n </td>\n <td>\n 50.4 (13.7)\n </td>\n <td>\n 48.8 (12.7)\n </td>\n <td>\n >0.05\n </td>\n </tr>\n <tr>\n <td>\n Size (cm)\n </td>\n <td>\n 4.0 (3.2)\n </td>\n <td>\n 4.4 (3.1)\n </td>\n <td>\n >0.05\n </td>\n <td>\n 3.8 (2.9)\n </td>\n <td>\n 5.9 (3.9)\n </td>\n <td>\n >0.05\n </td>\n </tr>\n <tr>\n <td colspan=\"7\">\n Lympho-vascular invasion\n </td>\n </tr>\n <tr>\n <td>\n No\n </td>\n <td>\n 2\n </td>\n <td>\n 9\n </td>\n <td>\n >0.05\n </td>\n <td>\n 9\n </td>\n <td>\n 2\n </td>\n <td>\n >0.05\n </td>\n </tr>\n <tr>\n <td>\n Yes\n </td>\n <td>\n 2\n </td>\n <td>\n 9\n </td>\n <td>\n </td>\n <td>\n 7\n </td>\n <td>\n 4\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td colspan=\"7\">\n Lymph node metastasis at diagnosis\n </td>\n </tr>\n <tr>\n <td>\n No\n </td>\n <td>\n 3\n </td>\n <td>\n 11\n </td>\n <td>\n >0.05\n </td>\n <td>\n 10\n </td>\n <td>\n 4\n </td>\n <td>\n >0.05\n </td>\n </tr>\n <tr>\n <td>\n Yes\n </td>\n <td>\n 1\n </td>\n <td>\n 5\n </td>\n <td>\n </td>\n <td>\n 4\n </td>\n <td>\n 2\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 Total set (n = 183)\n \n </td>\n <td>\n \n Training set (n = 130)\n \n </td>\n <td>\n \n Validation set (n = 53)\n \n </td>\n <td>\n \n p-value\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Gestational age (weeks)\n </td>\n <td>\n 29.3 ± 2.0\n </td>\n <td>\n 29.3 ± 2.0\n </td>\n <td>\n 29.1 ± 2.0\n </td>\n <td>\n 0.471\n </td>\n </tr>\n <tr>\n <td>\n Birth weight (grams)\n </td>\n <td>\n 1164 ± 172\n </td>\n <td>\n 1170 ± 168\n </td>\n <td>\n 1145 ± 182\n </td>\n <td>\n 0.391\n </td>\n </tr>\n <tr>\n <td>\n Time on ventilator (~Age in days) (median)\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n --\n </td>\n </tr>\n <tr>\n <td>\n Sex\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 Male\n </td>\n <td>\n 52.5% (96/183)\n </td>\n <td>\n 52.3% (68/130)\n </td>\n <td>\n 52.8% (28/53)\n </td>\n <td>\n 0.953\n </td>\n </tr>\n <tr>\n <td>\n Race\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 Caucasian\n </td>\n <td>\n 60.1% (110/183)\n </td>\n <td>\n 62.3% (81/130)\n </td>\n <td>\n 54.7% (29/531)\n </td>\n <td>\n 0.233\n </td>\n </tr>\n <tr>\n <td>\n African-American\n </td>\n <td>\n 36.6% (67/183)\n </td>\n <td>\n 33.1% (43/130)\n </td>\n <td>\n 45.3% (24/53)\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Hispanic\n </td>\n <td>\n 2.7% (5/183)\n </td>\n <td>\n 3.8% (5/130)\n </td>\n <td>\n 0\n </td>\n <td>\n --\n </td>\n </tr>\n <tr>\n <td>\n Asian\n </td>\n <td>\n 0.5% (1/183)\n </td>\n <td>\n 0.8% (1/130)\n </td>\n <td>\n 0\n </td>\n <td>\n --\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 <td>\n </td>\n </tr>\n <tr>\n <td>\n Extubation Failure\n </td>\n <td>\n 19.1% (35/183\n </td>\n <td>\n 16.9% (22/130)\n </td>\n <td>\n 24.5% (13/53)\n </td>\n <td>\n 0.243\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 Primer\n \n </td>\n <td>\n \n Sequence (5' – 3')\n \n </td>\n <td>\n \n Localization within canine\n \n CLCN3\n \n \n </td>\n <td>\n \n T\n <sub>\n M\n </sub>\n (°C)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 5' RACE outer primer\n </td>\n <td>\n TGTACGAGCCAGGACCTTCT\n </td>\n <td>\n exon 4/exon 5 junction\n </td>\n <td>\n 60\n </td>\n </tr>\n <tr>\n <td>\n 5' RACE inner primer\n </td>\n <td>\n TTTGTCATTTCCCATGCTGA\n </td>\n <td>\n exon 2\n </td>\n <td>\n 60\n </td>\n </tr>\n <tr>\n <td>\n 3' RACE outer primer\n </td>\n <td>\n TGCTTTAGTGGCTGCATTTG\n </td>\n <td>\n exon 8\n </td>\n <td>\n 60\n </td>\n </tr>\n <tr>\n <td>\n 3' RACE inner primer\n </td>\n <td>\n TGACTGTCTCCCTGGTGGTT\n </td>\n <td>\n exon 10\n </td>\n <td>\n 60\n </td>\n </tr>\n <tr>\n <td>\n CLCN3_F1\n </td>\n <td>\n ATGGATGCTGCTTCTGATCC\n </td>\n <td>\n exon 1\n </td>\n <td>\n 60\n </td>\n </tr>\n <tr>\n <td>\n CLCN3_R10\n </td>\n <td>\n CAGCAGCCAGAGTGGTATGA\n </td>\n <td>\n exon 10\n </td>\n <td>\n 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 \n Sequence collection\n \n </td>\n <td>\n \n Matches\n \n </td>\n <td>\n \n Unique\n \n </td>\n <td>\n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n All\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n 7,841\n \n </td>\n </tr>\n <tr>\n <td>\n \n Populus\n \n genome\n </td>\n <td>\n 7,671\n </td>\n <td>\n 763\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Arabidopsis\n \n genome\n </td>\n <td>\n 5,434\n </td>\n <td>\n 2\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Rice genome\n </td>\n <td>\n 1,562\n </td>\n <td>\n 0\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Populus\n \n EST sequence\n </td>\n <td>\n 5,780\n </td>\n <td>\n 5\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Rosid EST sequence\n </td>\n <td>\n 4,597\n </td>\n <td>\n 1\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Asterid EST sequence\n </td>\n <td>\n 3,490\n </td>\n <td>\n 4\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Caryophyllid EST sequence\n </td>\n <td>\n 2,081\n </td>\n <td>\n 0\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Monocot sequence\n </td>\n <td>\n 2,135\n </td>\n <td>\n 3\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n GenBank sequence\n </td>\n <td>\n 5,495\n </td>\n <td>\n 0\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Short sequences\n </td>\n <td>\n 275\n </td>\n <td>\n 20\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Low protein coding potential\n </td>\n <td>\n 728\n </td>\n <td>\n 28\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Remainder\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n 54\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 Study\n \n </td>\n <td>\n \n \n N\n \n patients\n \n </td>\n <td>\n \n IB2%\n \n </td>\n <td>\n \n IIB%\n \n </td>\n <td>\n \n IIIB%\n \n </td>\n <td>\n \n IVA%\n \n </td>\n <td>\n \n OS\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n GOG123\n </td>\n <td>\n 183\n </td>\n <td>\n 100\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 83\n </td>\n </tr>\n <tr>\n <td>\n GOG85\n </td>\n <td>\n 177\n </td>\n <td>\n 0\n </td>\n <td>\n 61\n </td>\n <td>\n 33.9\n </td>\n <td>\n 2.8\n </td>\n <td>\n 67\n </td>\n </tr>\n <tr>\n <td>\n RTOG9001\n </td>\n <td>\n 195\n </td>\n <td>\n 32\n </td>\n <td>\n 36\n </td>\n <td>\n 27\n </td>\n <td>\n 3\n </td>\n <td>\n 75\n </td>\n </tr>\n <tr>\n <td>\n GOG120\n </td>\n <td>\n 177/173\n </td>\n <td>\n 0\n </td>\n <td>\n 51.8\n </td>\n <td>\n 42.4\n </td>\n <td>\n 2.6\n </td>\n <td>\n 65\n </td>\n </tr>\n <tr>\n <td>\n THIS\n </td>\n <td>\n 294\n </td>\n <td>\n 23.2*\n </td>\n <td>\n 53.2\n </td>\n <td>\n 20.4**\n </td>\n <td>\n 0.7\n </td>\n <td>\n 76.5\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 Twin pair no\n \n </td>\n <td>\n \n Gender\n \n </td>\n <td>\n \n Age\n \n </td>\n <td>\n \n Duration of MS (years)\n \n </td>\n <td>\n \n Type of MS\n \n </td>\n <td>\n \n EDSS\n \n </td>\n <td>\n \n Immunomodulatory treatment\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 1\n </td>\n <td>\n F\n </td>\n <td>\n 54\n </td>\n <td>\n 11\n </td>\n <td>\n SP\n </td>\n <td>\n 1.5\n </td>\n <td>\n n.t.\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n F\n </td>\n <td>\n 54\n </td>\n <td>\n Healthy/0\n </td>\n <td>\n Healthy\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n F\n </td>\n <td>\n 48\n </td>\n <td>\n 1\n </td>\n <td>\n RR\n </td>\n <td>\n 4.0\n </td>\n <td>\n IFN-β-1a\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n F\n </td>\n <td>\n 48\n </td>\n <td>\n Healthy/0\n </td>\n <td>\n Healthy\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n F\n </td>\n <td>\n 55\n </td>\n <td>\n 9\n </td>\n <td>\n SP\n </td>\n <td>\n 7.0\n </td>\n <td>\n IFN-β-1b\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n F\n </td>\n <td>\n 55\n </td>\n <td>\n Healthy/0\n </td>\n <td>\n Healthy\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n M\n </td>\n <td>\n 53\n </td>\n <td>\n 23\n </td>\n <td>\n SP\n </td>\n <td>\n 6.5\n </td>\n <td>\n n.t.\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n M\n </td>\n <td>\n 53\n </td>\n <td>\n Healthy/0\n </td>\n <td>\n Healthy\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 5\n </td>\n <td>\n F\n </td>\n <td>\n 33\n </td>\n <td>\n 5\n </td>\n <td>\n RR\n </td>\n <td>\n 4.0\n </td>\n <td>\n IFN-β-1a\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n F\n </td>\n <td>\n 33\n </td>\n <td>\n Healthy/0\n </td>\n <td>\n Healthy\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 6\n </td>\n <td>\n F\n </td>\n <td>\n 54\n </td>\n <td>\n 3\n </td>\n <td>\n RR\n </td>\n <td>\n 4.5\n </td>\n <td>\n IFN-β-1b\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n F\n </td>\n <td>\n 54\n </td>\n <td>\n Healthy/0\n </td>\n <td>\n Healthy\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 7\n </td>\n <td>\n M\n </td>\n <td>\n 66\n </td>\n <td>\n 11\n </td>\n <td>\n SP\n </td>\n <td>\n 6.5\n </td>\n <td>\n n.t.\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n M\n </td>\n <td>\n 66\n </td>\n <td>\n Healthy/0\n </td>\n <td>\n Healthy\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 8\n </td>\n <td>\n M\n </td>\n <td>\n 46\n </td>\n <td>\n 22\n </td>\n <td>\n SP\n </td>\n <td>\n 6.5\n </td>\n <td>\n n.t.\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n M\n </td>\n <td>\n 46\n </td>\n <td>\n Healthy/0\n </td>\n <td>\n Healthy\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 Estrogens\n \n </td>\n <td colspan=\"3\">\n \n Intermolecular Energy\n \n </td>\n <td colspan=\"2\">\n \n H-Bond Distance\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n VDW\n <sup>\n a\n </sup>\n \n </td>\n <td>\n \n Elect\n <sup>\n b\n </sup>\n \n </td>\n <td>\n \n Total\n \n </td>\n <td>\n \n d\n <sub>\n 1\n </sub>\n (Glu353:OE2)\n \n </td>\n <td>\n \n d\n <sub>\n 2\n </sub>\n (His524:ND1)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 17β-estradiol\n </td>\n <td>\n -55.06\n </td>\n <td>\n -20.43\n </td>\n <td>\n -75.48\n </td>\n <td>\n 1.56\n </td>\n <td>\n 2.02\n </td>\n </tr>\n <tr>\n <td>\n Equilin\n </td>\n <td>\n -58.17\n </td>\n <td>\n -12.33\n </td>\n <td>\n -70.49\n </td>\n <td>\n 1.71\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Δ\n <sup>\n 8,9\n </sup>\n -dehydroestrone\n </td>\n <td>\n -58.40\n </td>\n <td>\n -13.09\n </td>\n <td>\n -71.49\n </td>\n <td>\n 1.67\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Estrone\n </td>\n <td>\n -55.92\n </td>\n <td>\n -12.76\n </td>\n <td>\n -68.68\n </td>\n <td>\n 1.66\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 Mean\n \n </td>\n <td>\n \n Standard deviation\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Conferences\n </td>\n <td>\n 32.31\n </td>\n <td>\n 21.99\n </td>\n </tr>\n <tr>\n <td>\n University continuing education\n </td>\n <td>\n 2.41\n </td>\n <td>\n 17.86\n </td>\n </tr>\n <tr>\n <td>\n Non-university continuing education\n </td>\n <td>\n 1.75\n </td>\n <td>\n 5.20\n </td>\n </tr>\n <tr>\n <td>\n Scientific societies\n </td>\n <td>\n 2.02\n </td>\n <td>\n 7.39\n </td>\n </tr>\n <tr>\n <td>\n Reading scientific journals\n </td>\n <td>\n 3.15\n </td>\n <td>\n 8.00\n </td>\n </tr>\n <tr>\n <td>\n Audiovisuals\n </td>\n <td>\n 2.41\n </td>\n <td>\n 9.93\n </td>\n </tr>\n <tr>\n <td>\n Other CE activities\n </td>\n <td>\n 0.22\n </td>\n <td>\n 2.05\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 Grading (WHO)\n \n </td>\n <td colspan=\"3\">\n \n Gleason-Score\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n G1\n </td>\n <td>\n 3\n </td>\n <td>\n 5.1%\n </td>\n <td>\n Median\n </td>\n <td>\n 6\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n G2\n </td>\n <td>\n 31\n </td>\n <td>\n 52.5%\n </td>\n <td>\n Mean\n </td>\n <td>\n 6\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n G3\n </td>\n <td>\n 25\n </td>\n <td>\n 42.4%\n </td>\n <td>\n Range\n </td>\n <td>\n 3 – 9\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 59\n </td>\n <td>\n 100%\n </td>\n <td>\n N\n </td>\n <td>\n 59\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n \n Local staging\n \n </td>\n <td colspan=\"3\">\n \n Lymph Nodes\n \n </td>\n </tr>\n <tr>\n <td>\n localized\n </td>\n <td>\n 25\n </td>\n <td>\n 42.4%\n </td>\n <td>\n Negative\n </td>\n <td>\n 42\n </td>\n <td>\n 71.2%\n </td>\n </tr>\n <tr>\n <td>\n local advanced\n </td>\n <td>\n 26\n </td>\n <td>\n 44.1%\n </td>\n <td>\n Positive\n </td>\n <td>\n 14\n </td>\n <td>\n 23.7%\n </td>\n </tr>\n <tr>\n <td>\n unknown\n </td>\n <td>\n 8\n </td>\n <td>\n 13.5%\n </td>\n <td>\n Unknown\n </td>\n <td>\n 3\n </td>\n <td>\n 5.1\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 59\n </td>\n <td>\n 100%\n </td>\n <td>\n Total\n </td>\n <td>\n 59\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n \n Margins\n \n </td>\n <td colspan=\"3\">\n \n Distant Metastasis\n \n </td>\n </tr>\n <tr>\n <td>\n Negative\n </td>\n <td>\n 34\n </td>\n <td>\n 57.6\n </td>\n <td>\n No distant metastasis\n </td>\n <td>\n 57\n </td>\n <td>\n 96.6%\n </td>\n </tr>\n <tr>\n <td>\n Positive\n </td>\n <td>\n 11\n </td>\n <td>\n 18.7\n </td>\n <td>\n Distant metastasis\n </td>\n <td>\n 2\n </td>\n <td>\n 3.4\n </td>\n </tr>\n <tr>\n <td>\n Unknown\n </td>\n <td>\n 14\n </td>\n <td>\n 23.7\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 59\n </td>\n <td>\n 100%\n </td>\n <td>\n Total\n </td>\n <td>\n 59\n </td>\n <td>\n 100%\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 PPSP\n \n </td>\n <td colspan=\"2\">\n \n TRK\n \n </td>\n <td colspan=\"2\">\n \n mTOR\n \n </td>\n <td colspan=\"2\">\n \n SyK\n \n </td>\n <td colspan=\"2\">\n \n MET/RON\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n Sn\n \n (%)\n </td>\n <td>\n \n Sp\n \n (%)\n </td>\n <td>\n \n Sn\n \n (%)\n </td>\n <td>\n \n Sp\n \n (%)\n </td>\n <td>\n \n Sn\n \n (%)\n </td>\n <td>\n \n Sp\n \n (%)\n </td>\n <td>\n \n Sn\n \n (%)\n </td>\n <td>\n \n Sp\n \n (%)\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n \n Self-consistency\n \n </td>\n <td>\n 92.31\n </td>\n <td>\n 97.40\n </td>\n <td>\n 93.33\n </td>\n <td>\n 96.46\n </td>\n <td>\n 92.59\n </td>\n <td>\n 91.98\n </td>\n <td>\n 89.47\n </td>\n <td>\n 95.90\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n \n Jack-knife\n \n </td>\n <td>\n 84.62\n </td>\n <td>\n 96.10\n </td>\n <td>\n 93.33\n </td>\n <td>\n 91.27\n </td>\n <td>\n 77.79\n </td>\n <td>\n 86.79\n </td>\n <td>\n 73.68\n </td>\n <td>\n 91.80\n </td>\n </tr>\n <tr>\n <td>\n \n Data set\n \n </td>\n <td>\n \n Positive\n \n </td>\n <td colspan=\"2\">\n 13\n </td>\n <td colspan=\"2\">\n 14\n </td>\n <td colspan=\"2\">\n 27\n </td>\n <td colspan=\"2\">\n 19\n </td>\n </tr>\n <tr>\n <td>\n \n (No.)\n \n </td>\n <td>\n \n Negative\n \n </td>\n <td colspan=\"2\">\n 77\n </td>\n <td colspan=\"2\">\n 433\n </td>\n <td colspan=\"2\">\n 251\n </td>\n <td colspan=\"2\">\n 122\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 Key perinatal immune events\n \n </td>\n <td>\n \n Timing in humans\n \n </td>\n <td>\n \n Benefit to host\n \n </td>\n <td>\n \n Examples of concern\n \n </td>\n <td>\n \n Health ramifications\n \n </td>\n <td>\n \n Key references\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Differentiation and seeding of macrophages to tissues\n </td>\n <td>\n 6–24 WG\n </td>\n <td>\n Self-renewing populations of microglia, Kupffer cells, and alveolar macrophages; resident macrophage functioning in tissues (e.g., testis)\n </td>\n <td>\n Lead, LPS, ozone, cyclophosphamide\n </td>\n <td>\n Inflammation of lung, brain, or liver tissue dysfunction (e.g., male infertility)\n </td>\n <td>\n Cao et al. 2004; Hao et al. 2001; Janossy et al. 1986; Pace et al. 2005\n </td>\n </tr>\n <tr>\n <td>\n Seeding of thymus by pro–T cells and thymopoiesis to expand populations\n </td>\n <td>\n Seeding 8–12 WG, massive expansion of populations 14–26 WG\n </td>\n <td>\n Production of T-cell clones necessary to establish peripheral T-lymphocyte populations\n </td>\n <td>\n PAHs, T-2 toxin, tributyltins, TCDD\n </td>\n <td>\n Thymic atrophy, decreased postnatal T cells and T-dependent function, increased risk of cancer and infectious diseases\n </td>\n <td>\n Gehrs and Smialowicz 1997; Holladay and Smith 1994, 1995; Holladay et al. 1993b, 1995; Smialowicz et al. 1989, 1994; Vos et al. 1990; Walker et al. 2004\n </td>\n </tr>\n <tr>\n <td>\n Negative selection and apoptosis of autoreactive thymocytes\n </td>\n <td>\n 15–26 WG\n </td>\n <td>\n Elimination of most peripheral T-lymphocyte clones\n </td>\n <td>\n TCDD promotes unnecessary negative thymocyte selection increasing apoptotic cell death\n </td>\n <td>\n If promoted, then deceased numbers of thymocytes. If impaired, then, increased risk of later-life self- reactivity\n </td>\n <td>\n Camacho et al. 2004; Fisher et al. 2004\n </td>\n </tr>\n <tr>\n <td>\n Treg cell (CD4\n <sup>\n +\n </sup>\n CD25\n <sup>\n +\n </sup>\n high) population generation in thymus, seeding and activation in periphery\n </td>\n <td>\n Thymus appearance 12–13 WG; periphery 14–16 WG\n </td>\n <td>\n Active suppression of postnatal autoreactive T-cell clones\n </td>\n <td>\n Possible low-dose cyclophosphamide, selected doses of cyclosporin A\n </td>\n <td>\n If excessively promoted, then possible immune suppression. If impaired, then increased risk of later autoimmunity or allergy (e.g. breaking tolerance to nickel)\n </td>\n <td>\n Cavani 2005; Cupedo et al. 2005; Darrasse-Jeze et al. 2005; Kawai 2005; Lutsiak et al. 2005; Robinson et al. 2004; Valmori et al. 2005\n </td>\n </tr>\n <tr>\n <td>\n Perinatal dendritic cell maturation to support T\n <sub>\n H\n </sub>\n 1 responses\n </td>\n <td>\n Birth–juvenile\n </td>\n <td>\n Increase in dendritic cell maturation and T\n <sub>\n H\n </sub>\n 1-promoting capacity after birth to achieve necessary T\n <sub>\n H\n </sub>\n 1 balance\n </td>\n <td>\n Dexamethasone, nicotine\n </td>\n <td>\n Increased risk of allergy and some forms of autoimmunity (e.g., type 1 diabetes)\n </td>\n <td>\n Andersson et al. 2004; De Wit et al. 2003; Krumbiegel et al. 2005, Mainali and Tew 2004; Nouri-Shirazi and Guinet 2003; Renkl et al. 2005; Skarsvik et al. 2004\n </td>\n </tr>\n <tr>\n <td>\n Increase in T\n <sub>\n H\n </sub>\n 1 response capacity among peripheral T lymphocytes after birth\n </td>\n <td>\n Birth–juvenile\n </td>\n <td>\n Needed to avoid life-long T\n <sub>\n H\n </sub>\n 2 skewing\n </td>\n <td>\n Lead, mercury, kynurenines selectively impair T\n <sub>\n H\n </sub>\n 1 cells, 1-methyl-tryptophan may promote T\n <sub>\n H\n </sub>\n 1\n </td>\n <td>\n With depressed T\n <sub>\n H\n </sub>\n 1, increased risk of T\n <sub>\n H\n </sub>\n 2 associated diseases such as atopy and asthma\n </td>\n <td>\n Bunn et al. 2001b, 2001c; Fallarino et al. 2003; Mellor et al. 2002; Miller et al. 1998; Silva et al. 2005; Snyder et al. 2000\n </td>\n </tr>\n <tr>\n <td>\n Maturation and regulation of fetal macrophages via interactions with surfactants A and D and glutathione sources\n </td>\n <td>\n 16 WG neonatal period SP-D; 19 WG neonatal period SP-A\n </td>\n <td>\n Needed to avoid oxidative damage to lung and increased risk of respiratory disease; needed to facilitate parturition, needed to regulate macrophages\n </td>\n <td>\n Ethanol\n </td>\n <td>\n Increased risk of childhood respiratory disease; potential problems with labor, increased risk of autoimmune disease\n </td>\n <td>\n Gauthier et al. 2005; Kaneko et al. 2001; Palaniyar et al. 2005; Pryhuber et al. 1991; Seppanen et al. 2005; Zimmermann et al. 2005\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 Group\n \n </td>\n <td>\n \n Day 37\n \n </td>\n <td>\n \n Day 52\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Control (n = 4)\n </td>\n <td>\n 9.1 ± 0.2\n </td>\n <td>\n 9.5 ± 0.2\n </td>\n </tr>\n <tr>\n <td>\n Early Saline + Late CSO (n = 4)\n </td>\n <td>\n 9.3 ± 0.1\n </td>\n <td>\n 9.4 ± 0.1\n </td>\n </tr>\n <tr>\n <td>\n Early Saline + Late RA (n = 4)\n </td>\n <td>\n 10.6 ± 0.1*\n </td>\n <td>\n 9.7 ± 0.1¶\n </td>\n </tr>\n <tr>\n <td>\n Early Dex + Late CSO (n = 4)\n </td>\n <td>\n 7.7 ± 0.2*\n </td>\n <td>\n 7.8 ± 0.1*\n </td>\n </tr>\n <tr>\n <td>\n Early Dex + Late RA (n = 4)\n </td>\n <td>\n 8.9 ± 0.3†\n </td>\n <td>\n 9.2 ± 0.1†\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 Gene\n \n </td>\n <td>\n \n SwissProt\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n TarA\n </td>\n <td>\n \n N-acetylglucosaminyldiphosphoundecaprenol N-acetyl-beta-D- mannosaminyltransferase.\n \n http://www.expasy.org/uniprot/TARA_BACSUhttp://www.expasy.org/enzyme/2.4.1.187\n </td>\n </tr>\n <tr>\n <td>\n TarB\n </td>\n <td>\n \n Putative CDP-glycerol:glycerophosphate glycerophosphotransferase tarB\n \n http://www.expasy.org/uniprot/TARB_BACSU\n </td>\n </tr>\n <tr>\n <td>\n TarD\n </td>\n <td>\n \n Putative Glycerol-3-phosphate cytidylyltransferase\n \n .http://www.expasy.org/uniprot/TARD_BACSUhttp://www.expasy.org/enzyme/2.7.7.39\n </td>\n </tr>\n <tr>\n <td>\n TarF\n </td>\n <td>\n \n Putative CDP-glycerol:glycerophosphate glycerophosphotransferase tarF\n \n http://www.expasy.org/uniprot/TARF_BACSU\n </td>\n </tr>\n <tr>\n <td>\n TarI\n </td>\n <td>\n \n Putative D-ribitol-5-phosphate cytidylyltransferase\n \n .http://www.expasy.org/uniprot/TARI_BACSUhttp://www.expasy.org/enzyme/2.7.7.40\n </td>\n </tr>\n <tr>\n <td>\n TarJ\n </td>\n <td>\n \n Putative ribitol-5-phosphate dehydrogenase\n \n http://www.expasy.org/uniprot/TARJ_BACSUhttp://www.expasy.org/enzyme/1.1.1.137\n </td>\n </tr>\n <tr>\n <td>\n TarK\n </td>\n <td>\n \n Putative ribitolphosphotransferase\n \n http://www.expasy.org/uniprot/TARK_BACSU\n </td>\n </tr>\n <tr>\n <td>\n TarL\n </td>\n <td>\n \n Putative CDP-ribitol ribitolphosphotransferase\n \n http://www.expasy.org/uniprot/TARL_BACSUhttp://www.expasy.org/enzyme/2.7.8.14\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 Work factors\n \n </td>\n <td>\n \n Nursing home\n \n </td>\n <td>\n \n Home or apartment unit for the aged\n \n </td>\n <td>\n \n Community nurse unit\n \n </td>\n <td>\n \n Institution for mentally handicapped\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Quantitative work demands\n </td>\n <td>\n 3401 (3106) **\n </td>\n <td>\n 2989 (3257) *\n </td>\n <td>\n 3742 (3137) **\n </td>\n <td>\n 2377 (3329) **\n </td>\n </tr>\n <tr>\n <td>\n Positioning patients in bed\n </td>\n <td>\n 3962 (2436) **\n </td>\n <td>\n 3102 (2097)\n </td>\n <td>\n 2977 (3120)\n </td>\n <td>\n 1726 (3248) **\n </td>\n </tr>\n <tr>\n <td>\n Supporting patients between bed and chair\n </td>\n <td>\n 3837 (2488) **\n </td>\n <td>\n 3362 (3041) **\n </td>\n <td>\n 3027 (3080)\n </td>\n <td>\n 1969 (3194) **\n </td>\n </tr>\n <tr>\n <td>\n Handling heavy objects\n </td>\n <td>\n 3320 (2790) **\n </td>\n <td>\n 3083 (3009)\n </td>\n <td>\n 3010 (3018)\n </td>\n <td>\n 2577 (3066) **\n </td>\n </tr>\n <tr>\n <td>\n Positive challenges\n </td>\n <td>\n 2912 (3461) **\n </td>\n <td>\n 2934 (3261) **\n </td>\n <td>\n 3640 (3153) **\n </td>\n <td>\n 2971 (3258) **\n </td>\n </tr>\n <tr>\n <td>\n Role conflicts\n </td>\n <td>\n 3373 (3109) **\n </td>\n <td>\n 3441 (3197) *\n </td>\n <td>\n 3619 (3148) **\n </td>\n <td>\n 3204 (3223)\n </td>\n </tr>\n <tr>\n <td>\n Exposure to threats or violence\n </td>\n <td>\n 3362 (3131) **\n </td>\n <td>\n 3079 (3245)\n </td>\n <td>\n 2932 (3283) **\n </td>\n <td>\n 3720 (3172) **\n </td>\n </tr>\n <tr>\n <td>\n Control of work pace\n </td>\n <td>\n 3017 (3387) **\n </td>\n <td>\n 3326 (3219)\n </td>\n <td>\n 3353 (3208)\n </td>\n <td>\n 3914 (3151) **\n </td>\n </tr>\n <tr>\n <td>\n Participation in important decisions\n </td>\n <td>\n 3087 (3322) **\n </td>\n <td>\n 3127 (3232)\n </td>\n <td>\n 3480 (3175) **\n </td>\n <td>\n 3283 (3215)\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 Descriptor\n \n </td>\n <td colspan=\"2\">\n \n Total Sample\n \n </td>\n <td colspan=\"2\">\n \n Moderate-Vigorous PA min.\n \n </td>\n <td colspan=\"2\">\n \n Vigorous PA min.\n \n </td>\n <td colspan=\"2\">\n \n TV-video viewing min.\n \n </td>\n <td colspan=\"2\">\n \n Computer-video game playing min.\n \n </td>\n <td colspan=\"2\">\n \n Combined sedentary min.\n <sup>\n c\n </sup>\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n n\n \n </td>\n <td>\n \n %\n \n </td>\n <td>\n \n mean\n \n </td>\n <td>\n \n SD\n \n </td>\n <td>\n \n mean\n \n </td>\n <td>\n \n SD\n \n </td>\n <td>\n \n mean\n \n </td>\n <td>\n \n SD\n \n </td>\n <td>\n \n mean\n \n </td>\n <td>\n \n SD\n \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 Total Sample\n </td>\n <td>\n 718\n </td>\n <td>\n 100\n </td>\n <td>\n 65.8\n </td>\n <td>\n 57.8\n </td>\n <td>\n 17.6\n </td>\n <td>\n 34.1\n </td>\n <td>\n 102.4\n </td>\n <td>\n 86.8\n </td>\n <td>\n 22.4\n </td>\n <td>\n 36.2\n </td>\n <td>\n 124.8\n </td>\n <td>\n 98.3\n </td>\n </tr>\n <tr>\n <td>\n Ethnicity\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 <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n White (non-Hispanic)\n </td>\n <td>\n 515\n </td>\n <td>\n 71.8\n </td>\n <td>\n 68.8\n </td>\n <td>\n 54.2\n </td>\n <td>\n 15.7\n </td>\n <td>\n 29.5\n </td>\n <td>\n 96.0\n </td>\n <td>\n 83.8\n </td>\n <td>\n 21.0\n </td>\n <td>\n 32.4\n </td>\n <td>\n 117.0\n </td>\n <td>\n 94.2\n </td>\n </tr>\n <tr>\n <td>\n Hispanic\n </td>\n <td>\n 83\n </td>\n <td>\n 11.6\n </td>\n <td>\n 75.6\n </td>\n <td>\n 63.3\n </td>\n <td>\n 22.3\n </td>\n <td>\n 36.2\n </td>\n <td>\n 127.5\n </td>\n <td>\n 87.3\n </td>\n <td>\n 18.2\n </td>\n <td>\n 40.8\n </td>\n <td>\n 145.7\n </td>\n <td>\n 95.7\n </td>\n </tr>\n <tr>\n <td>\n Other\n <sup>\n a\n </sup>\n </td>\n <td>\n 119\n </td>\n <td>\n 16.6\n </td>\n <td>\n 68.0\n </td>\n <td>\n 60.4\n </td>\n <td>\n 22.9\n </td>\n <td>\n 40.1\n </td>\n <td>\n 113.7\n </td>\n <td>\n 95.1\n </td>\n <td>\n 31.0\n </td>\n <td>\n 46.4\n </td>\n <td>\n 144.7\n </td>\n <td>\n 112.5\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n p = .607\n </td>\n <td>\n </td>\n <td>\n p = .042\n </td>\n <td>\n </td>\n <td>\n p = .003\n </td>\n <td>\n </td>\n <td>\n p = .014\n </td>\n <td>\n </td>\n <td>\n p = .003\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n BMI-for-age percentiles\n <sup>\n b\n </sup>\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 <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 5th percentile\n </td>\n <td>\n 28\n </td>\n <td>\n 3.9\n </td>\n <td>\n 51.9\n </td>\n <td>\n 41.5\n </td>\n <td>\n 11.1\n </td>\n <td>\n 22.6\n </td>\n <td>\n 84.1\n </td>\n <td>\n 83.7\n </td>\n <td>\n 21.5\n </td>\n <td>\n 28.9\n </td>\n <td>\n 105.6\n </td>\n <td>\n 89.8\n </td>\n </tr>\n <tr>\n <td>\n >5th to <85th percentile\n </td>\n <td>\n 510\n </td>\n <td>\n 71.0\n </td>\n <td>\n 71.6\n </td>\n <td>\n 57.9\n </td>\n <td>\n 17.3\n </td>\n <td>\n 32.1\n </td>\n <td>\n 97.0\n </td>\n <td>\n 84.1\n </td>\n <td>\n 20.5\n </td>\n <td>\n 33.5\n </td>\n <td>\n 117.5\n </td>\n <td>\n 95.4\n </td>\n </tr>\n <tr>\n <td>\n 85th to <95th percentile\n </td>\n <td>\n 105\n </td>\n <td>\n 14.6\n </td>\n <td>\n 67.2\n </td>\n <td>\n 53.9\n </td>\n <td>\n 17.5\n </td>\n <td>\n 29.1\n </td>\n <td>\n 105.2\n </td>\n <td>\n 79.1\n </td>\n <td>\n 22.6\n </td>\n <td>\n 41.3\n </td>\n <td>\n 127.8\n </td>\n <td>\n 89.6\n </td>\n </tr>\n <tr>\n <td>\n 95th percentile\n </td>\n <td>\n 74\n </td>\n <td>\n 10.3\n </td>\n <td>\n 63.9\n </td>\n <td>\n 53.0\n </td>\n <td>\n 22.6\n </td>\n <td>\n 40.9\n </td>\n <td>\n 140.2\n </td>\n <td>\n 104.8\n </td>\n <td>\n 34.3\n </td>\n <td>\n 46.1\n </td>\n <td>\n 174.5\n </td>\n <td>\n 115.5\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n p = .247\n </td>\n <td>\n </td>\n <td>\n p = .424\n </td>\n <td>\n </td>\n <td>\n p = .001\n </td>\n <td>\n </td>\n <td>\n p = .025\n </td>\n <td>\n </td>\n <td>\n p < .001\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 Model A (full model)\n \n </td>\n <td colspan=\"3\">\n \n Model B (without nonsignificant control variables)\n \n </td>\n <td colspan=\"3\">\n \n Model C (model B without nonsignificant lead before 6–10 years)\n \n </td>\n <td colspan=\"3\">\n \n Model D (without any nonsignificant variables)\n \n </td>\n </tr>\n <tr>\n <td>\n \n Variable\n \n </td>\n <td>\n \n β\n \n </td>\n <td>\n \n 95% CI\n \n </td>\n <td>\n \n \n p\n \n -Valuea\n \n </td>\n <td>\n \n β\n \n </td>\n <td>\n \n 95% CI\n \n </td>\n <td>\n \n \n p\n \n -Value\n \n </td>\n <td>\n \n β\n \n </td>\n <td>\n \n 95% CI\n \n </td>\n <td>\n \n \n p\n \n -Value\n \n </td>\n <td>\n \n β\n \n </td>\n <td>\n \n 95% CI\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 73.6\n </td>\n <td>\n 52.4 to 94.6\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n 73.6\n </td>\n <td>\n 56.9 to 90.4\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n 75.8\n </td>\n <td>\n 62.6 to 88.0\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n 76.3\n </td>\n <td>\n 63.7 to 88.9\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n Mean ln(lead) 12–20 weeks pregnancy (μg/dL)\n </td>\n <td>\n 1.02\n </td>\n <td>\n −1.98 to 4.03\n </td>\n <td>\n 0.50\n </td>\n <td>\n 0.89\n </td>\n <td>\n −2.09 to 3.88\n </td>\n <td>\n 0.56\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 Mean ln(lead) 28–36 weeks pregnancy (μg/dL)\n </td>\n <td>\n −3.90\n </td>\n <td>\n −6.45 to −1.36\n </td>\n <td>\n 0.0029\n </td>\n <td>\n −3.85\n </td>\n <td>\n −6.36 to −1.33\n </td>\n <td>\n 0.0029\n </td>\n <td>\n −3.46\n </td>\n <td>\n −5.64 to −1.29\n </td>\n <td>\n 0.0020\n </td>\n <td>\n −3.44\n </td>\n <td>\n −5.61 to −1.28\n </td>\n <td>\n 0.0020\n </td>\n </tr>\n <tr>\n <td>\n Mean ln(lead) 1–5 years (μg/dL)\n </td>\n <td>\n 0.10\n </td>\n <td>\n −3.88 to 4.06\n </td>\n <td>\n 0.96\n </td>\n <td>\n 0.35\n </td>\n <td>\n −3.48 to 4.18\n </td>\n <td>\n 0.86\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 Ln(lead) 6–10 years (μg/dL)\n </td>\n <td>\n 0.17\n </td>\n <td>\n −1.41 to 1.76\n </td>\n <td>\n 0.83\n </td>\n <td>\n 0.15\n </td>\n <td>\n −1.44 to 1.72\n </td>\n <td>\n 0.86\n </td>\n <td>\n 0.21\n </td>\n <td>\n −1.30 to 1.72\n </td>\n <td>\n 0.79\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Child sex (female)\n </td>\n <td>\n −1.51\n </td>\n <td>\n −4.75 to 1.73\n </td>\n <td>\n 0.36\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 Birth weight (g)\n </td>\n <td>\n 0.001\n </td>\n <td>\n −0.003 to 0.004\n </td>\n <td>\n 0.61\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 SES (tertiles)\n </td>\n <td>\n −0.38\n </td>\n <td>\n −1.86 to 1.10\n </td>\n <td>\n 0.61\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 Maternal IQ\n </td>\n <td>\n 0.40\n </td>\n <td>\n 0.26 to 0.55\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n 0.39\n </td>\n <td>\n 0.26 to 0.52\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n 0.39\n </td>\n <td>\n 0.26 to 0.51\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n 0.38\n </td>\n <td>\n 0.26 to 0.51\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n First FSIQ measurement\n </td>\n <td>\n −4.00\n </td>\n <td>\n −4.84 to −3.16\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n −4.00\n </td>\n <td>\n −4.82 to −3.15\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n −4.00\n </td>\n <td>\n −4.83 to −3.16\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n −4.00\n </td>\n <td>\n −4.78 to −3.16\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 Category\n \n </td>\n <td>\n \n Variable\n \n </td>\n <td>\n \n Measurement instrument\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Demographics\n </td>\n <td>\n Sex, age, contact details, occupation (kind of work done for most of life), number of adults (aged 18 years and over) and children in the household, reason for refusal (if applicable)\n </td>\n <td>\n Recruitment (CATI) interview\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Age, country of birth, year of arrival in Australia (if applicable), gross annual household income, age when left school, highest educational qualification attained, marital status, work status, Aboriginal and/or Torres Strait Islander status, pension/benefit status\n </td>\n <td>\n Self-administered questionnaire\n </td>\n </tr>\n <tr>\n <td>\n Health conditions\n </td>\n <td>\n Doctor-confirmed chronic disease status – diabetes, asthma, bronchitis, emphysema, heart attack, stroke, angina; anxiety, depression, a stress-related problem or any other mental health problem\n </td>\n <td>\n Recruitment (CATI) interview\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Diabetes – doctor-confirmed prevalence, gestational diabetes, type of diabetes, time when first diagnosed (\n \n Phase 1B only\n \n )\n </td>\n <td>\n Self-administered questionnaire\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Asthma, bronchitis, emphysema- doctor-confirmed prevalence; perceived severity of asthma, time when first diagnosed (\n \n Phase 1B only\n \n )\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Unhealthy behaviours\n </td>\n <td>\n Smoking (type not specified)\n </td>\n <td>\n Recruitment (CATI) interview\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Doctor-confirmed high cholesterol and high blood pressure, height and weight (\n \n Phase 1B only\n \n )\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n General health and well-being (SF-36), smoking (cigarette, cigar and/or pipe – current habit, number of cigarettes usually – now or ever – smoked in a day, age when last smoked (if relevant), and age when smoking first started (\n \n Phase 1B only\n \n ), alcohol usage (frequency and number of standard drinks), physical activity (number of times within last two weeks, average time per exercise session and intensity – walking, moderate or vigorous)\n </td>\n <td>\n Self-administered questionnaire\n </td>\n </tr>\n <tr>\n <td>\n Family history and medical history\n </td>\n <td>\n Family history of diabetes, heart disease and stroke; medical history of chronic health conditions – diabetes, asthma (including lung function), bronchitis, emphysema\n </td>\n <td>\n Self-administered questionnaire\n </td>\n </tr>\n <tr>\n <td>\n Health service utilisation\n </td>\n <td>\n Number of all health (medical and surgical) services used during last 12 months (including general practitioner, hospital, allied health and alternative health)\n </td>\n <td>\n Self-administered questionnaire\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Consent to link to Medicare and pharmaceutical information\n </td>\n <td>\n Clinic examination\n </td>\n </tr>\n <tr>\n <td>\n Biomedical measurements\n </td>\n <td>\n Blood pressure, height, weight, waist and hip circumference\n </td>\n <td>\n Clinic examination\n </td>\n </tr>\n <tr>\n <td>\n Blood tests (fasting)\n </td>\n <td>\n Triglycerides, total cholesterol, HDL and LDL cholesterol, glucose and HbA1c\n </td>\n <td>\n Clinic examination\n </td>\n </tr>\n <tr>\n <td>\n Skin allergy measurements\n </td>\n <td>\n Saline (negative control), cockroach, house dust mite, cat dander, alternaria (mould), feather, rye grass, histamine [5%] (positive control)\n </td>\n <td>\n Clinic examination\n </td>\n </tr>\n <tr>\n <td>\n Lung function measurements\n </td>\n <td>\n Pre and post FEV\n <sub>\n 1\n </sub>\n , FVC, PEF (peak expiratory flow) and predicted percentages\n </td>\n <td>\n Clinic examination\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 Status 1994. Baseline/ follow-up.\n \n </td>\n <td>\n \n LBP at all (LBP >0 days past year) 1994\n \n </td>\n <td>\n \n Persistent LBP (LBP >30 days past year). 1994\n \n </td>\n <td>\n \n LBP at all (LBP >0 days past year) 2002\n \n </td>\n <td>\n \n Persistent LBP (LBP >30 days past year). 2002\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age\n </td>\n <td>\n 12–15\n </td>\n <td>\n 3,146 / 2,061\n </td>\n <td>\n 447 (14%)\n </td>\n <td>\n 58 (2%)\n </td>\n <td>\n 742 (36%)\n </td>\n <td>\n 197 (10%)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 16–19\n </td>\n <td>\n 3,497 / 2,422\n </td>\n <td>\n 1,303 (37%)\n </td>\n <td>\n 232 (7%)\n </td>\n <td>\n 918 (38%)\n </td>\n <td>\n 213 (9%)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 20–22\n </td>\n <td>\n 2,820 / 2,060\n </td>\n <td>\n 1,343 (48%)\n </td>\n <td>\n 298 (11%)\n </td>\n <td>\n 883 (43%)\n </td>\n <td>\n 226 (11%)\n </td>\n </tr>\n <tr>\n <td>\n Sex\n </td>\n <td>\n Female\n </td>\n <td>\n 4,873 / 3,676\n </td>\n <td>\n 1,761 (36)%\n </td>\n <td>\n 366 (8%)\n </td>\n <td>\n 1,544 (42%)\n </td>\n <td>\n 424 (12%)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Male\n </td>\n <td>\n 4,590 / 2,867\n </td>\n <td>\n 1,332 (29%)\n </td>\n <td>\n 222 (5%)\n </td>\n <td>\n 999 (35%)\n </td>\n <td>\n 212 (7%)\n </td>\n </tr>\n <tr>\n <td>\n Smoking\n </td>\n <td>\n 0\n </td>\n <td>\n 85% / 86%\n </td>\n <td>\n 2346 (30%)\n </td>\n <td>\n 385 (5%)\n </td>\n <td>\n 2,080 (37%)\n </td>\n <td>\n 490 (9%)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1–10\n </td>\n <td>\n 7% / 7 %\n </td>\n <td>\n 306 (46%)\n </td>\n <td>\n 69 (10%)\n </td>\n <td>\n 195 (44%)\n </td>\n <td>\n 57 (13%)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 11–20\n </td>\n <td>\n 8% / 7%\n </td>\n <td>\n 365 (72%)\n </td>\n <td>\n 107 (15%)\n </td>\n <td>\n 217 (49%)\n </td>\n <td>\n 73 (17%)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n >20\n </td>\n <td>\n 0% / 0%\n </td>\n <td>\n 33 (72%)\n </td>\n <td>\n 9 (30%)\n </td>\n <td>\n 13 (48%)\n </td>\n <td>\n 3 (11%)\n </td>\n </tr>\n <tr>\n <td>\n Alcohol consumption\n </td>\n <td>\n <0.2\n </td>\n <td>\n 56% / 54%\n </td>\n <td>\n 1084 (24%)\n </td>\n <td>\n 185 (4%)\n </td>\n <td>\n 1181 (38%)\n </td>\n <td>\n 322 (10%)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 0.2–0.6\n </td>\n <td>\n 23% / 24%\n </td>\n <td>\n 793 (43%)\n </td>\n <td>\n 157 (9%)\n </td>\n <td>\n 547 (40%)\n </td>\n <td>\n 130 (9%)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 0.6–1.0\n </td>\n <td>\n 11% / 11%\n </td>\n <td>\n 419 (46%)\n </td>\n <td>\n 81 (9%)\n </td>\n <td>\n 257 (39%)\n </td>\n <td>\n 55 (8%)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n >1.0\n </td>\n <td>\n 10% / 10%\n </td>\n <td>\n 389 (48%)\n </td>\n <td>\n 84 (10%)\n </td>\n <td>\n 238 (42%)\n </td>\n <td>\n 54 (10%)\n </td>\n </tr>\n <tr>\n <td>\n BMI\n </td>\n <td>\n <17\n </td>\n <td>\n 12% / 12%\n </td>\n <td>\n 163 (15%)\n </td>\n <td>\n 28 (3%)\n </td>\n <td>\n 262 (35%)\n </td>\n <td>\n 74 (10%)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 18–24\n </td>\n <td>\n 78% / 78%\n </td>\n <td>\n 2,459 (34%)\n </td>\n <td>\n 455 (6%)\n </td>\n <td>\n 1,964 (39%)\n </td>\n <td>\n 479 (10%)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 25–29\n </td>\n <td>\n 9% / 9%\n </td>\n <td>\n 376 (45%)\n </td>\n <td>\n 85 (10%)\n </td>\n <td>\n 242 (42%)\n </td>\n <td>\n 59 (10%)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n >29\n </td>\n <td>\n 1% / 1%\n </td>\n <td>\n 58 (49%)\n </td>\n <td>\n 12 (10%)\n </td>\n <td>\n 42 (47%)\n </td>\n <td>\n 11 (12%)\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 Markers typed on SSC3\n \n </td>\n <td>\n \n cM (singlepoint)\n \n </td>\n <td>\n \n NPL in singlepoint/p-value\n <sup>\n a\n </sup>\n \n </td>\n <td>\n \n cM (multipoint)\n <sup>\n b\n </sup>\n \n </td>\n <td>\n \n NPL in multipoint\n <sup>\n b\n </sup>\n /p-value\n <sup>\n a,b\n </sup>\n \n </td>\n <td>\n \n TDT-Score/p-value\n <sup>\n a\n </sup>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n SW274\n </td>\n <td>\n 0\n </td>\n <td>\n -0.03 / 0.5091\n </td>\n <td>\n 06.2\n </td>\n <td>\n 1.19 / 0.11701.75 / 0.0423\n </td>\n <td>\n 4.90 / 0.555\n </td>\n </tr>\n <tr>\n <td>\n SW2021\n </td>\n <td>\n 12.4\n </td>\n <td>\n 1.370 / 0.0873\n </td>\n <td>\n 12.415.1\n </td>\n <td>\n \n 2.49 / 0.0074\n \n \n 2.29 / 0.0123\n \n </td>\n <td>\n 16.55 /0.220\n </td>\n </tr>\n <tr>\n <td>\n SW2429\n </td>\n <td>\n 17.2\n </td>\n <td>\n 1.580 / 0.0587\n </td>\n <td>\n 17.217.25\n </td>\n <td>\n \n 2.14 / 0.0177\n \n \n 2.19 / 0.0156\n \n </td>\n <td>\n 13.30 /\n \n 0.038\n \n </td>\n </tr>\n <tr>\n <td>\n SW833\n </td>\n <td>\n 17.3\n </td>\n <td>\n 0.530 / 0.2969\n </td>\n <td>\n 17.317.55\n </td>\n <td>\n \n 2.24 / 0.0137\n \n \n 2.51 / 0.0070\n \n </td>\n <td>\n 11.55 /\n \n 0.021\n \n </td>\n </tr>\n <tr>\n <td>\n SW72\n </td>\n <td>\n 17.8\n </td>\n <td>\n \n 2.290 / 0.0125\n \n </td>\n <td>\n 17.830.05\n </td>\n <td>\n \n 2.92 / 0.0022\n \n \n 2.71 / 0.0041\n \n </td>\n <td>\n 11.40 /\n \n 0.043\n \n </td>\n </tr>\n <tr>\n <td>\n SE51018\n </td>\n <td>\n 19\n </td>\n <td>\n 1.490 / 0.0694\n </td>\n <td>\n 1925.23\n </td>\n <td>\n \n 2.58 / 0.0057\n \n 1.87 / 0.0322\n </td>\n <td>\n 9.72 / 0.373\n </td>\n </tr>\n <tr>\n <td>\n S0701\n </td>\n <td>\n 31.46\n </td>\n <td>\n 0.460 / 0.3188\n </td>\n <td>\n 31.4636.88\n </td>\n <td>\n 1.37 / 0.08661.13 / 0.1302\n </td>\n <td>\n 3.33 / 0.188\n </td>\n </tr>\n <tr>\n <td>\n S0206\n </td>\n <td>\n 42.3\n </td>\n <td>\n 0.260 / 0.3949\n </td>\n <td>\n 42.368.25\n </td>\n <td>\n 0.93 / 0.17400.81 / 0.2075\n </td>\n <td>\n 4.69 / 0.584\n </td>\n </tr>\n <tr>\n <td>\n SW2408\n </td>\n <td>\n 94.2\n </td>\n <td>\n 1.480 / 0.0707\n </td>\n <td>\n 94.298,2\n </td>\n <td>\n 1.88 / 0.0318\n \n 2.01 / 0.0241\n \n </td>\n <td>\n 9.21 / 0.602\n </td>\n </tr>\n <tr>\n <td>\n S0002\n </td>\n <td>\n 102.2\n </td>\n <td>\n \n 2.310 / 0.0119\n \n </td>\n <td>\n 102.2107.4\n </td>\n <td>\n \n 2.38 / 0.0097\n \n 1.87 / 0.0326\n </td>\n <td>\n 19.00 /\n \n 0.088\n \n </td>\n </tr>\n <tr>\n <td>\n S0397\n </td>\n <td>\n 109\n </td>\n <td>\n 0.050 / 0.4758\n </td>\n <td>\n 109109.3\n </td>\n <td>\n 1.49 / 0.06971.61 / 0.0560\n </td>\n <td>\n 10.85 /0.456\n </td>\n </tr>\n <tr>\n <td>\n SW1327\n </td>\n <td>\n 109.6\n </td>\n <td>\n 1.730 / 0.0441\n </td>\n <td>\n 109.6111.1\n </td>\n <td>\n 1.62 / 0.05431.67 / 0.0490\n </td>\n <td>\n 14.03 /\n \n 0.051\n \n </td>\n </tr>\n <tr>\n <td>\n SW349\n </td>\n <td>\n 112.6\n </td>\n <td>\n 0.380 / 0.0852\n </td>\n <td>\n 112.6\n </td>\n <td>\n 1.73 / 0.0434\n </td>\n <td>\n 13.64 /0.136\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 Toxin/Organism\n \n </td>\n <td>\n \n Problem\n \n </td>\n <td>\n \n Reference\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Microcystins (organism unknown)\n </td>\n <td>\n Associated with deaths of Eared Grebes-Salton Sea, Calif.\n </td>\n <td>\n [28]\n </td>\n </tr>\n <tr>\n <td>\n Anatoxin-a(s) (\n \n Anabaena\n \n sp)\n </td>\n <td>\n Death of Crested Grebe, Black-necked Grebe, Coot, domestic ducks and geese Denmark and USA\n </td>\n <td>\n [29][30]\n </td>\n </tr>\n <tr>\n <td>\n Microcystin (organism unknown)\n </td>\n <td>\n Net-Pen liver disease of Mari-cultured Atlantic Salmon: British Columbia, Canada and Washington, USA\n </td>\n <td>\n [14]Carmichael (unpubl. data)\n </td>\n </tr>\n <tr>\n <td>\n Microcystin (organism unknown)\n </td>\n <td>\n Intestinal lesions of mari-cultured penniped shrimp: Hawaii, USA and Columbia, South America\n </td>\n <td>\n Carmichael (unpublished)\n </td>\n </tr>\n <tr>\n <td>\n Microcystin (organism unknown)\n </td>\n <td>\n Acute lethal liver disease of aqua-cultured stripped bass: California, USA\n </td>\n <td>\n Carmichael (unpublished)\n </td>\n </tr>\n <tr>\n <td>\n Microcystin (organism unknown)\n </td>\n <td>\n Acute lethal liver disease of aqua-cultured pond-raised catfish: Mississippi USA\n </td>\n <td>\n [31]\n </td>\n </tr>\n <tr>\n <td>\n Microcystins (\n \n Microcystis aeruginosa\n \n )\n </td>\n <td>\n Acute non-lethal toxicity in natural populations of trout and carp: England and Australia.\n </td>\n <td>\n [32][33]\n </td>\n </tr>\n <tr>\n <td>\n Microcystins\n </td>\n <td>\n At least 52 human fatalities from use of contaminated municipal water in a hemodialysis clinic: Pernambuco, Brazil\n </td>\n <td>\n [6][34]\n </td>\n </tr>\n <tr>\n <td>\n Microcystins\n </td>\n <td>\n Great Blue Heron mortalities\n </td>\n <td>\n [12]\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 Preparation\n \n </td>\n <td>\n \n Location\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Extract the milk and throw it out in the sun\n </td>\n <td>\n Junín, Huánuco\n </td>\n </tr>\n <tr>\n <td>\n Throw milk extracted from breasts on the cooking fire\n </td>\n <td>\n Lambayeque, Piura, Tumbes, Lima, Callao, Ica, Ayacucho\n </td>\n </tr>\n <tr>\n <td>\n Rub the breasts with ground garlic\n </td>\n <td>\n Puno\n </td>\n </tr>\n <tr>\n <td>\n Tie the nipples with a dirty table cloth\n </td>\n <td>\n Cajamarca\n </td>\n </tr>\n <tr>\n <td>\n Place cloth soaked in cold water over the breasts\n </td>\n <td>\n Arequipa\n </td>\n </tr>\n <tr>\n <td>\n Use preparation of cooked\n \n pezón\n \n (stem end of\n \n zapallo\n \n squash) and\n \n wiñapu\n \n (germinated corn for making beer)\n </td>\n <td>\n Arequipa\n </td>\n </tr>\n <tr>\n <td>\n Use water from cleaning the shirt of the father of the child\n </td>\n <td>\n Arequipa\n </td>\n </tr>\n <tr>\n <td>\n Use ashes from hair taken from the nape of the neck of the father of the child suspended in wine\n </td>\n <td>\n Arequipa\n </td>\n </tr>\n <tr>\n <td>\n Use the powder from ivory dissolved in wine\n </td>\n <td>\n Arequipa\n </td>\n </tr>\n <tr>\n <td>\n Use the powder from sealing wax dissolved in wine\n </td>\n <td>\n Arequipa\n </td>\n </tr>\n <tr>\n <td>\n Use the blood of a rooster's crest\n </td>\n <td>\n Lambayeque, Piura, Libertad\n </td>\n </tr>\n <tr>\n <td>\n Use white clay suspended en boiling water in which a heated steel nail has been added\n </td>\n <td>\n Apurímac\n </td>\n </tr>\n <tr>\n <td>\n Use excrement of dove with\n \n wakatay\n \n (\n \n Tagetes minuta\n \n )\n </td>\n <td>\n Apurímac\n </td>\n </tr>\n <tr>\n <td>\n Use a watery maceration of the infant's umbilical cord\n </td>\n <td>\n Huancayo\n </td>\n </tr>\n <tr>\n <td>\n Eat a large quantity of watercress\n </td>\n <td>\n Junín\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 Kilburn/Blair Athol\n \n </td>\n <td colspan=\"2\">\n \n South Australia\n \n </td>\n <td colspan=\"2\">\n \n Metropolitan Adelaide\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n %\n \n </td>\n <td>\n \n %\n \n </td>\n <td>\n \n P value\n \n </td>\n <td>\n \n %\n \n </td>\n <td>\n \n P value\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n PERCEPTIONS OF NEIGHBOURHOOD\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 A very friendly place to live?\n \n <sup>\n 1\n </sup>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n <0.001\n </td>\n <td>\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n 1,2 (positive)\n </td>\n <td>\n 59.4\n </td>\n <td>\n 73.9\n </td>\n <td>\n *\n </td>\n <td>\n 72.5\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 29.8\n </td>\n <td>\n 20.4\n </td>\n <td>\n *\n </td>\n <td>\n 21.5\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 4,5 (negative)\n </td>\n <td>\n 8.8\n </td>\n <td>\n 5.2\n </td>\n <td>\n *\n </td>\n <td>\n 5.2\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n \n Safe place to walk around at night?\n \n <sup>\n 1\n </sup>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n <0.001\n </td>\n <td>\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n 1,2 (positive)\n </td>\n <td>\n 21.8\n </td>\n <td>\n 52.2\n </td>\n <td>\n *\n </td>\n <td>\n 49.8\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 26.8\n </td>\n <td>\n 23.4\n </td>\n <td>\n *\n </td>\n <td>\n 25.1\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 4,5 (negative)\n </td>\n <td>\n 43.1\n </td>\n <td>\n 20.0\n </td>\n <td>\n *\n </td>\n <td>\n 20.0\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n \n Does your community have a reputation for being a safe place?\n \n <sup>\n 2\n </sup>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n <0.001\n </td>\n <td>\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Yes\n </td>\n <td>\n 46.2\n </td>\n <td>\n 85.8\n </td>\n <td>\n </td>\n <td>\n 84.4\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n No\n </td>\n <td>\n 37.1\n </td>\n <td>\n 8.6\n </td>\n <td>\n </td>\n <td>\n 9.4\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Don't know/not sure\n </td>\n <td>\n 16.7\n </td>\n <td>\n 5.6\n </td>\n <td>\n </td>\n <td>\n 6.2\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Do you feel safe in your home?\n \n <sup>\n 2\n </sup>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n <0.001\n </td>\n <td>\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n All of the time/Most of the time\n </td>\n <td>\n 85.5\n </td>\n <td>\n 96.5\n </td>\n <td>\n </td>\n <td>\n 96.0\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Some of the time/None of the time\n </td>\n <td>\n 14.5\n </td>\n <td>\n 3.4\n </td>\n <td>\n </td>\n <td>\n 3.8\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n LEVEL OF TRUST\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 Most people in the area can be trusted?\n \n <sup>\n 1\n </sup>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n <0.001\n </td>\n <td>\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n 1,2 (positive)\n </td>\n <td>\n 43.1\n </td>\n <td>\n 61.1\n </td>\n <td>\n *\n </td>\n <td>\n 59.5\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 32.5\n </td>\n <td>\n 24.8\n </td>\n <td>\n *\n </td>\n <td>\n 25.2\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n 4,5 (negative)\n </td>\n <td>\n 16.2\n </td>\n <td>\n 10.3\n </td>\n <td>\n *\n </td>\n <td>\n 10.3\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n \n Do you think that in this neighbourhood people generally trust one another?\n \n <sup>\n 2\n </sup>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n <0.001\n </td>\n <td>\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Yes\n </td>\n <td>\n 54.1\n </td>\n <td>\n 80.0\n </td>\n <td>\n </td>\n <td>\n 77.6\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n No\n </td>\n <td>\n 27.1\n </td>\n <td>\n 10.3\n </td>\n <td>\n </td>\n <td>\n 11.7\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Don't know/not sure\n </td>\n <td>\n 18.8\n </td>\n <td>\n 9.7\n </td>\n <td>\n </td>\n <td>\n 10.7\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n RECIPROCITY\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 Level of help from neighbours if and when it is needed\n \n <sup>\n 1\n </sup>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n <0.001\n </td>\n <td>\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Yes – all or most of the time\n </td>\n <td>\n 59.8\n </td>\n <td>\n 68.2\n </td>\n <td>\n *\n </td>\n <td>\n 66.0\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n Yes – a fair bit of the time, sometimes\n </td>\n <td>\n 23.1\n </td>\n <td>\n 18.8\n </td>\n <td>\n *\n </td>\n <td>\n 19.1\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n No – none of the time\n </td>\n <td>\n 7.7\n </td>\n <td>\n 4.4\n </td>\n <td>\n *\n </td>\n <td>\n 4.7\n </td>\n <td>\n *\n </td>\n </tr>\n <tr>\n <td>\n No assistance required\n </td>\n <td>\n 9.3\n </td>\n <td>\n 4.3\n </td>\n <td>\n *\n </td>\n <td>\n 5.1\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 Primer\n \n </td>\n <td>\n </td>\n <td>\n \n Sequence\n \n </td>\n <td>\n \n Size of product (bp)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n PAR-1\n </td>\n <td>\n sense\n </td>\n <td>\n 5'-CAGCTCCTGGCTGACACTCTTTGTC-3'\n </td>\n <td>\n 500\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n antisense\n </td>\n <td>\n 5'-CGAGCAGGGTTTCATTGAGCACAT-3'\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n PAR-2\n </td>\n <td>\n sense\n </td>\n <td>\n 5'-GCAGCCTCTCTCTCCTGCAGTGG-3'\n </td>\n <td>\n 461\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n antisense\n </td>\n <td>\n 5'-CTGAGGCAGGTCATGAAGAGAATGG-3'\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n PAR-3\n </td>\n <td>\n sense\n </td>\n <td>\n 5'-GGCTGGACAGGAGCCACGAT-3'\n </td>\n <td>\n 403\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n antisense\n </td>\n <td>\n 5'-AGCGGTTGATGCTGATGCAGG-3'\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n PAR-4\n </td>\n <td>\n RT\n </td>\n <td>\n 5'-TGAGTAGCTGGGATTACAG-3'\n </td>\n <td>\n 542\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n sense\n </td>\n <td>\n 5'-AACCTCTATGGTGCCTACGTGC-3'\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n antisense\n </td>\n <td>\n 5'- CCAAGCCCAGCTAATTTTTG-3'\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n β-actin\n </td>\n <td>\n sense\n </td>\n <td>\n 5'-GTTGCGTTACACCCTTTCTT-3'\n </td>\n <td>\n 148\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n antisense\n </td>\n <td>\n 5'-ACCTTCACCGTTCCAGTTT-3'\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 BluePages\n \n </td>\n <td>\n \n Control\n \n </td>\n <td>\n \n MoodGym\n \n </td>\n <td colspan=\"3\">\n \n Control – BluePages\n \n </td>\n <td colspan=\"3\">\n \n MoodGym – BluePages\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Specific Treatments\n </td>\n <td>\n (N = 114)\n </td>\n <td>\n (N = 130)\n </td>\n <td>\n (N = 102)\n </td>\n <td>\n OR\n </td>\n <td>\n p\n </td>\n <td>\n 95%CI\n </td>\n <td>\n OR\n </td>\n <td>\n p\n </td>\n <td>\n 95%CI\n </td>\n </tr>\n <tr>\n <td>\n \n Evidence based\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 Antidepressants\n </td>\n <td>\n 25.4\n </td>\n <td>\n 26.2\n </td>\n <td>\n 28.4\n </td>\n <td>\n 1.04\n </td>\n <td>\n .899\n </td>\n <td>\n .58–1.85\n </td>\n <td>\n 1.16\n </td>\n <td>\n .620\n </td>\n <td>\n .64–2.13\n </td>\n </tr>\n <tr>\n <td>\n CBT\n </td>\n <td>\n 9.6\n </td>\n <td>\n 6.9\n </td>\n <td>\n 22.5\n </td>\n <td>\n .70\n </td>\n <td>\n .441\n </td>\n <td>\n .28–1.75\n </td>\n <td>\n 2.73\n </td>\n <td>\n .011*\n </td>\n <td>\n 1.26–5.92\n </td>\n </tr>\n <tr>\n <td>\n Self-help books\n </td>\n <td>\n 24.6\n </td>\n <td>\n 22.3\n </td>\n <td>\n 15.7\n </td>\n <td>\n .88\n </td>\n <td>\n .678\n </td>\n <td>\n .49–1.60\n </td>\n <td>\n .57\n </td>\n <td>\n .108\n </td>\n <td>\n .29–1.13\n </td>\n </tr>\n <tr>\n <td>\n Exercise\n </td>\n <td>\n 54.4\n </td>\n <td>\n 56.9\n </td>\n <td>\n 64.7\n </td>\n <td>\n 1.11\n </td>\n <td>\n .691\n </td>\n <td>\n .67–1.84\n </td>\n <td>\n 1.54\n </td>\n <td>\n .124\n </td>\n <td>\n .90–2.66\n </td>\n </tr>\n <tr>\n <td>\n Yoga\n </td>\n <td>\n 13.2\n </td>\n <td>\n 10.8\n </td>\n <td>\n 8.8\n </td>\n <td>\n .80\n </td>\n <td>\n .566\n </td>\n <td>\n .37–1.73\n </td>\n <td>\n .64\n </td>\n <td>\n .314\n </td>\n <td>\n .27–1.53\n </td>\n </tr>\n <tr>\n <td>\n Massage\n </td>\n <td>\n 16.7\n </td>\n <td>\n 15.4\n </td>\n <td>\n 18.6\n </td>\n <td>\n .91\n </td>\n <td>\n .785\n </td>\n <td>\n .46–1.80\n </td>\n <td>\n 1.15\n </td>\n <td>\n .706\n </td>\n <td>\n .57–2.31\n </td>\n </tr>\n <tr>\n <td>\n Relaxation therapy\n </td>\n <td>\n 12.3\n </td>\n <td>\n 6.2\n </td>\n <td>\n 10.8\n </td>\n <td>\n .47\n </td>\n <td>\n .102\n </td>\n <td>\n .19–1.16\n </td>\n <td>\n .86\n </td>\n <td>\n .732\n </td>\n <td>\n .37–2.00\n </td>\n </tr>\n <tr>\n <td>\n Cut out alcohol\n </td>\n <td>\n 13.2\n </td>\n <td>\n 15.4\n </td>\n <td>\n 15.7\n </td>\n <td>\n 1.20\n </td>\n <td>\n .621\n </td>\n <td>\n .58–2.47\n </td>\n <td>\n 1.23\n </td>\n <td>\n .597\n </td>\n <td>\n .57–2.63\n </td>\n </tr>\n <tr>\n <td>\n Use vitamins\n </td>\n <td>\n 11.4\n </td>\n <td>\n 15.4\n </td>\n <td>\n 12.7\n </td>\n <td>\n 1.41\n </td>\n <td>\n .366\n </td>\n <td>\n .67–2.99\n </td>\n <td>\n 1.14\n </td>\n <td>\n .762\n </td>\n <td>\n .50–2.58\n </td>\n </tr>\n <tr>\n <td colspan=\"10\">\n \n Non-evidence based\n \n </td>\n </tr>\n <tr>\n <td>\n Counselling\n </td>\n <td>\n 11.4\n </td>\n <td>\n 12.3\n </td>\n <td>\n 11.8\n </td>\n <td>\n 1.09\n </td>\n <td>\n .828\n </td>\n <td>\n .50–2.38\n </td>\n <td>\n 1.04\n </td>\n <td>\n .934\n </td>\n <td>\n .45–2.39\n </td>\n </tr>\n <tr>\n <td>\n Eating chocolate\n </td>\n <td>\n 21.1\n </td>\n <td>\n 23.8\n </td>\n <td>\n 30.4\n </td>\n <td>\n 1.17\n </td>\n <td>\n .60\n </td>\n <td>\n .64–2.15\n </td>\n <td>\n 1.64\n </td>\n <td>\n .117\n </td>\n <td>\n .88–3.04\n </td>\n </tr>\n <tr>\n <td>\n Listening to music\n </td>\n <td>\n 47.4\n </td>\n <td>\n 65.4\n </td>\n <td>\n 53.9\n </td>\n <td>\n 2.10\n </td>\n <td>\n .005**\n </td>\n <td>\n 1.25–3.51\n </td>\n <td>\n 1.300\n </td>\n <td>\n .337\n </td>\n <td>\n .76–2.22\n </td>\n </tr>\n <tr>\n <td>\n Being with pets\n </td>\n <td>\n 38.6\n </td>\n <td>\n 53.8\n </td>\n <td>\n 45.1\n </td>\n <td>\n 1.86\n </td>\n <td>\n .018*\n </td>\n <td>\n 1.11–3.09\n </td>\n <td>\n 1.31\n </td>\n <td>\n .334\n </td>\n <td>\n .76–2.25\n </td>\n </tr>\n <tr>\n <td>\n Doing things you enjoy\n </td>\n <td>\n 56.1\n </td>\n <td>\n 55.4\n </td>\n <td>\n 67.6\n </td>\n <td>\n .94\n </td>\n <td>\n .906\n </td>\n <td>\n .58–1.61\n </td>\n <td>\n 1.63\n </td>\n <td>\n .084\n </td>\n <td>\n .94–2.85\n </td>\n </tr>\n <tr>\n <td>\n Meditation\n </td>\n <td>\n 12.3\n </td>\n <td>\n 8.5\n </td>\n <td>\n 16.7\n </td>\n <td>\n .66\n </td>\n <td>\n .329\n </td>\n <td>\n .29–1.52\n </td>\n <td>\n 1.43\n </td>\n <td>\n .360\n </td>\n <td>\n .67–3.07\n </td>\n </tr>\n <tr>\n <td>\n Avoiding caffeine\n </td>\n <td>\n 8.8\n </td>\n <td>\n 12.3\n </td>\n <td>\n 8.8\n </td>\n <td>\n 1.46\n </td>\n <td>\n .374\n </td>\n <td>\n .63–3.36\n </td>\n <td>\n 1.01\n </td>\n <td>\n .989\n </td>\n <td>\n .39–2.58\n </td>\n </tr>\n <tr>\n <td>\n Use alcohol\n </td>\n <td>\n 11.4\n </td>\n <td>\n 21.5\n </td>\n <td>\n 22.5\n </td>\n <td>\n 2.13\n </td>\n <td>\n .037*\n </td>\n <td>\n 1.05–4.35\n </td>\n <td>\n 2.26\n </td>\n <td>\n .031*\n </td>\n <td>\n 1.08–4.75\n </td>\n </tr>\n <tr>\n <td colspan=\"10\">\n Sources of Help\n </td>\n </tr>\n <tr>\n <td>\n GP\n </td>\n <td>\n 26.3\n </td>\n <td>\n 21.5\n </td>\n <td>\n 29.4\n </td>\n <td>\n .77\n </td>\n <td>\n .382\n </td>\n <td>\n .43–1.39\n </td>\n <td>\n 1.17\n </td>\n <td>\n .612\n </td>\n <td>\n .64–2.12\n </td>\n </tr>\n <tr>\n <td>\n Counsellor/psychologist\n </td>\n <td>\n 11.4\n </td>\n <td>\n 16.9\n </td>\n <td>\n 17.6\n </td>\n <td>\n 1.58\n </td>\n <td>\n .222\n </td>\n <td>\n .76–3.31\n </td>\n <td>\n 1.67\n </td>\n <td>\n .194\n </td>\n <td>\n .77–3.60\n </td>\n </tr>\n <tr>\n <td>\n Family and friends\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n .92\n </td>\n <td>\n .757\n </td>\n <td>\n .55–1.54\n </td>\n <td>\n 1.62\n </td>\n <td>\n .094\n </td>\n <td>\n .92–2.86\n </td>\n </tr>\n <tr>\n <td>\n Categories of Treatments\n </td>\n <td>\n Mean (SD)\n </td>\n <td>\n Mean (SD)\n </td>\n <td>\n Mean (SD)\n </td>\n <td>\n B\n </td>\n <td>\n p\n </td>\n <td>\n 95% CI\n </td>\n <td>\n B\n </td>\n <td>\n p\n </td>\n <td>\n 95% CI\n </td>\n </tr>\n <tr>\n <td>\n Professional treatments (Scale: 0–6)\n </td>\n <td>\n 1.09 (1.25)\n </td>\n <td>\n 1.06 (1.36)\n </td>\n <td>\n 1.25 (1.49)\n </td>\n <td>\n -.03\n </td>\n <td>\n .832\n </td>\n <td>\n -.34-.27\n </td>\n <td>\n .15\n </td>\n <td>\n .374\n </td>\n <td>\n -.18-.47\n </td>\n </tr>\n <tr>\n <td>\n Everyday treatments (Scale: 0–4)\n </td>\n <td>\n 2.77 (1.66)\n </td>\n <td>\n 3.13 (1.75)\n </td>\n <td>\n 3.32 (1.50)\n </td>\n <td>\n .27\n </td>\n <td>\n .226\n </td>\n <td>\n -.17-.71\n </td>\n <td>\n .48\n </td>\n <td>\n .044*\n </td>\n <td>\n .01-.94\n </td>\n </tr>\n <tr>\n <td>\n Complementary treatments (Scale: 0–4)\n </td>\n <td>\n .54 (.86)\n </td>\n <td>\n .41 (.76)\n </td>\n <td>\n .55 (.87)\n </td>\n <td>\n -.12\n </td>\n <td>\n .197\n </td>\n <td>\n -.30-.06\n </td>\n <td>\n .01\n </td>\n <td>\n .943\n </td>\n <td>\n -.19-.20\n </td>\n </tr>\n <tr>\n <td>\n Dietary treatments (Scale: 0–6)\n </td>\n <td>\n .45 (.70)\n </td>\n <td>\n .65 (.87)\n </td>\n <td>\n .60 (.73)\n </td>\n <td>\n .16\n </td>\n <td>\n .064\n </td>\n <td>\n -.01-.33\n </td>\n <td>\n .13\n </td>\n <td>\n .162\n </td>\n <td>\n -.05-.31\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 Primer Code\n \n </td>\n <td>\n \n Sequence\n <sup>\n a\n </sup>\n \n </td>\n <td>\n \n Purpose\n \n </td>\n <td>\n \n PCR product (bp)\n \n </td>\n <td>\n \n Annealing temperature (°C)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 01F_PI3\n </td>\n <td>\n tgagaagggtgtgtgaaggaa\n </td>\n <td>\n PCR and sequencing\n </td>\n <td>\n 724\n </td>\n <td>\n 55\n </td>\n </tr>\n <tr>\n <td>\n 01R_PI3\n </td>\n <td>\n accactcccagcatcaa\n </td>\n <td>\n PCR and sequencing\n </td>\n <td>\n 724\n </td>\n <td>\n 55\n </td>\n </tr>\n <tr>\n <td>\n 02F_PI3\n </td>\n <td>\n gagttttttgcaggaccagg\n </td>\n <td>\n PCR and sequencing\n </td>\n <td>\n 717\n </td>\n <td>\n 52\n </td>\n </tr>\n <tr>\n <td>\n 02R_PI3\n </td>\n <td>\n gaacagaaagctgaaatctg\n </td>\n <td>\n PCR and sequencing\n </td>\n <td>\n 717\n </td>\n <td>\n 50\n </td>\n </tr>\n <tr>\n <td>\n Seq_P13_1328bp_F\n </td>\n <td>\n caagctggactgcataaaga\n </td>\n <td>\n PCR\n </td>\n <td>\n 1328\n </td>\n <td>\n 54\n </td>\n </tr>\n <tr>\n <td>\n Seq_P13_1328bp_R\n </td>\n <td>\n cagccttcttttgtgtcttc\n </td>\n <td>\n PCR\n </td>\n <td>\n 1328\n </td>\n <td>\n 53\n </td>\n </tr>\n <tr>\n <td>\n Seq_P13_Int1_F\n </td>\n <td>\n tgcataaagattggtatggc\n </td>\n <td>\n sequencing\n </td>\n <td>\n -\n </td>\n <td>\n 52\n </td>\n </tr>\n <tr>\n <td>\n Seq_PI3_Int2_F\n </td>\n <td>\n tttaaaccttgggtgtggac\n </td>\n <td>\n sequencing\n </td>\n <td>\n -\n </td>\n <td>\n 54\n </td>\n </tr>\n <tr>\n <td>\n Seq_PI3_Int3_F\n </td>\n <td>\n gaggtgtaccttccctactc\n </td>\n <td>\n sequencing\n </td>\n <td>\n -\n </td>\n <td>\n 54\n </td>\n </tr>\n <tr>\n <td>\n -1077_A_F\n </td>\n <td>\n ctctccttgtctcAgtgtattagagtc\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -1077_G_F\n </td>\n <td>\n ctctccttgtctcGgtgtattagagtc\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -1067_A_ F\n </td>\n <td>\n ctcagtgtattagAgtcgtttttctca\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -1067_G_F\n </td>\n <td>\n ctcagtgtattaggGtcgtttttctca\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n +1063_A_F\n </td>\n <td>\n gtgtattagagtcAtttttctcagaca\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n +1063_G_F\n </td>\n <td>\n gtgtattagagtcGtttttctcagaca\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -960_T_F\n </td>\n <td>\n ggaacccccgtttTcccctttcattactt\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -960_D_F\n </td>\n <td>\n ggaacccccgtttcccctttcattactt\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -911_A_F\n </td>\n <td>\n gttaatagaccagaccaaAtctcacac\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -911_G_F\n </td>\n <td>\n gttaatagaccagaccaaGtctcacac\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -689_C_F\n </td>\n <td>\n tgtatacatgataCatgttttctacta\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -689_G_F\n </td>\n <td>\n tgtatacatgataGatgttttctacta\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -675_C_F\n </td>\n <td>\n atgttttctactaCtttctgattattt\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -675_T_F\n </td>\n <td>\n atgttttctactaTtttctgattattt\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -453_T_F\n </td>\n <td>\n ttgatgctgggagTggtaaaatgataa\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -453_G_F\n </td>\n <td>\n ttgatgctgggagGggtaaaatgataa\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -338_G_F\n </td>\n <td>\n gaataaccttcgGtgattcctttctcttct\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -338_A_F\n </td>\n <td>\n gaataaccttcgAtgattcctttctcttct\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -258_A_F\n </td>\n <td>\n taataagtgagccAgcacttctactct\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n -258_G_F\n </td>\n <td>\n taataagtgagccGgcacttctactct\n </td>\n <td>\n gel shift assay\n </td>\n <td>\n -\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 </td>\n <td>\n \n N\n \n </td>\n <td>\n \n Base\n \n </td>\n <td>\n \n %\n \n </td>\n <td>\n \n OR\n <sup>\n a\n </sup>\n \n </td>\n <td>\n \n 95% CI: LL\n \n </td>\n <td>\n \n 95% CI: UL\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n CTVB\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 E_H\n <sup>\n b\n </sup>\n </td>\n <td>\n 122\n </td>\n <td>\n 764\n </td>\n <td>\n 16.0\n </td>\n <td>\n 1\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n D\n </td>\n <td>\n 127\n </td>\n <td>\n 925\n </td>\n <td>\n 13.7\n </td>\n <td>\n 0.85\n </td>\n <td>\n 0.65\n </td>\n <td>\n 1.11\n </td>\n </tr>\n <tr>\n <td>\n C\n </td>\n <td>\n 323\n </td>\n <td>\n 1836\n </td>\n <td>\n 17.6\n </td>\n <td>\n 1.13\n </td>\n <td>\n 0.90\n </td>\n <td>\n 1.42\n </td>\n </tr>\n <tr>\n <td>\n B\n </td>\n <td>\n 962\n </td>\n <td>\n 4518\n </td>\n <td>\n 21.3\n </td>\n <td>\n 1.43\n </td>\n <td>\n 1.16\n </td>\n <td>\n 1.76\n </td>\n </tr>\n <tr>\n <td>\n A\n </td>\n <td>\n 616\n </td>\n <td>\n 2816\n </td>\n <td>\n 21.9\n </td>\n <td>\n 1.49\n </td>\n <td>\n 1.20\n </td>\n <td>\n 1.84\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"3\">\n χ\n <sup>\n 2\n </sup>\n for trend = 39.4\n </td>\n </tr>\n <tr>\n <td>\n \n NS-SEC\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 Higher managerial and professional occupations\n <sup>\n b\n </sup>\n </td>\n <td>\n 128\n </td>\n <td>\n 585\n </td>\n <td>\n 21.9\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Lower managerial and professional occupations\n </td>\n <td>\n 310\n </td>\n <td>\n 1666\n </td>\n <td>\n 18.6\n </td>\n <td>\n 0.80\n </td>\n <td>\n 0.63\n </td>\n <td>\n 1.01\n </td>\n </tr>\n <tr>\n <td>\n Intermediate occupations\n </td>\n <td>\n 258\n </td>\n <td>\n 1478\n </td>\n <td>\n 17.5\n </td>\n <td>\n 0.72\n </td>\n <td>\n 0.57\n </td>\n <td>\n 0.92\n </td>\n </tr>\n <tr>\n <td>\n Small employers and own account workers\n </td>\n <td>\n 154\n </td>\n <td>\n 734\n </td>\n <td>\n 21.0\n </td>\n <td>\n 0.95\n </td>\n <td>\n 0.73\n </td>\n <td>\n 1.24\n </td>\n </tr>\n <tr>\n <td>\n Lower supervisory and technical occupations\n </td>\n <td>\n 256\n </td>\n <td>\n 1241\n </td>\n <td>\n 20.6\n </td>\n <td>\n 0.93\n </td>\n <td>\n 0.73\n </td>\n <td>\n 1.19\n </td>\n </tr>\n <tr>\n <td>\n Semi-routine occupations\n </td>\n <td>\n 408\n </td>\n <td>\n 2009\n </td>\n <td>\n 20.3\n </td>\n <td>\n 0.88\n </td>\n <td>\n 0.70\n </td>\n <td>\n 1.11\n </td>\n </tr>\n <tr>\n <td>\n Routine occupations\n </td>\n <td>\n 479\n </td>\n <td>\n 2131\n </td>\n <td>\n 22.5\n </td>\n <td>\n 1.03\n </td>\n <td>\n 0.82\n </td>\n <td>\n 1.28\n </td>\n </tr>\n <tr>\n <td>\n Never worked and long-term unemployed\n </td>\n <td>\n 179\n </td>\n <td>\n 723\n </td>\n <td>\n 24.8\n </td>\n <td>\n 1.13\n </td>\n <td>\n 0.87\n </td>\n <td>\n 1.47\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"3\">\n χ\n <sup>\n 2\n </sup>\n for trend = 13.5\n </td>\n </tr>\n <tr>\n <td>\n \n Townsend fifth\n \n </td>\n <td>\n 519\n </td>\n <td>\n 2912\n </td>\n <td>\n 17.8\n </td>\n <td>\n 1\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Least Deprived\n <sup>\n b\n </sup>\n </td>\n <td>\n 497\n </td>\n <td>\n 2547\n </td>\n <td>\n 19.5\n </td>\n <td>\n 1.11\n </td>\n <td>\n 0.97\n </td>\n <td>\n 1.28\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 424\n </td>\n <td>\n 2354\n </td>\n <td>\n 18.0\n </td>\n <td>\n 1.01\n </td>\n <td>\n 0.88\n </td>\n <td>\n 1.17\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 448\n </td>\n <td>\n 2166\n </td>\n <td>\n 20.7\n </td>\n <td>\n 1.20\n </td>\n <td>\n 1.04\n </td>\n <td>\n 1.38\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n 469\n </td>\n <td>\n 2113\n </td>\n <td>\n 22.2\n </td>\n <td>\n 1.31\n </td>\n <td>\n 1.14\n </td>\n <td>\n 1.51\n </td>\n </tr>\n <tr>\n <td>\n Most deprived\n </td>\n <td>\n 519\n </td>\n <td>\n 2912\n </td>\n <td>\n 17.8\n </td>\n <td>\n 1\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 colspan=\"3\">\n χ\n <sup>\n 2\n </sup>\n for trend = 14.6\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 FGF\n \n </td>\n <td>\n \n Interactor\n \n </td>\n <td>\n \n \n C. elegans\n \n or human orthologs\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n FGF1\n </td>\n <td>\n HSPA9B (Stress-70 protein, mortalin) [39]\n </td>\n <td>\n \n hsp-6\n \n (C37H5.8)\n </td>\n </tr>\n <tr>\n <td>\n FGF1\n </td>\n <td>\n NP_060979.2 (PRO1855, LOC55379, ribosome-binding protein p34, RBP34*) [39]\n </td>\n <td>\n F56A8.3\n </td>\n </tr>\n <tr>\n <td>\n FGF1\n </td>\n <td>\n LDL (Low density lipoproteins) [40]\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n FGF1\n </td>\n <td>\n S100A13 (Calcium binding protein S100A13) [41]\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n FGF1\n </td>\n <td>\n SYT1 (Synaptotagmin-1) [5]\n </td>\n <td>\n \n snt-1\n \n (F31E8.2)\n </td>\n </tr>\n <tr>\n <td>\n FGF1\n </td>\n <td>\n FIBP (FGF-1 intracellular binding protein) [4]\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n FGF1 and FGF2\n </td>\n <td>\n FGFBP1 (Fibroblast growth factor binding protein 1) [42]\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n FGF1 and FGF2\n </td>\n <td>\n CSNK2A (Casein Kinase II, catalytic subunit α) [43]\n </td>\n <td>\n \n kin-3 (\n \n B0205.7)\n </td>\n </tr>\n <tr>\n <td>\n FGF2\n </td>\n <td>\n CSNK2B (Casein Kinase II, regulatory subunit β) [9]\n </td>\n <td>\n \n kin-10\n \n (T01G9.6b)\n </td>\n </tr>\n <tr>\n <td>\n FGF2\n </td>\n <td>\n RPL6 (Large ribosomal subunit L6) [36]\n </td>\n <td>\n \n rpl-6\n \n (R151.3)\n </td>\n </tr>\n <tr>\n <td>\n FGF2\n </td>\n <td>\n RPS19 (40S ribosomal protein S19) [37]\n </td>\n <td>\n \n rps-19\n \n (T05F1.3)\n </td>\n </tr>\n <tr>\n <td>\n FGF2\n </td>\n <td>\n CEP57 (Translokin, Centrosomal protein of 57 kDa, Proliferation-inducing protein 8, PIG8) [44]\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n FGF2\n </td>\n <td>\n SMN1 (Survival motor neuron protein) [45, 46]\n </td>\n <td>\n \n smn-1\n \n (C41G7.1)\n </td>\n </tr>\n <tr>\n <td>\n FGF2\n </td>\n <td>\n FGA/FGB/FGG (Fibrinogen, alpha/beta/gamma polypeptides) [12, 47]\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n FGF2\n </td>\n <td>\n FN1 (Fibstatin, fragment of fibronectin) [11]\n </td>\n <td>\n C56C10.4\n </td>\n </tr>\n <tr>\n <td>\n FGF2\n </td>\n <td>\n API5 (Apoptosis inhibitor 5, Fibroblast growth factor 2-interacting factor, FIF) [48]\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n FGF2\n </td>\n <td>\n SF3A2 (Splicing factor 3A subunit 2) [10]\n </td>\n <td>\n F11A10.2\n </td>\n </tr>\n <tr>\n <td>\n FGF2\n </td>\n <td>\n PTX3 (Long pentraxin 3) [49]\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n FGF2\n </td>\n <td>\n PF4 (CXC chemokine platelet factor 4) [50]\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n FGF1, FGF2, FGF3, FGF4\n </td>\n <td>\n GLG1 (Golgi apparatus protein 1 precursor, Cysteine-rich fibroblast growth factor receptor, CFR-1) [6,7]\n </td>\n <td>\n F14E5.2\n </td>\n </tr>\n <tr>\n <td>\n FGF3\n </td>\n <td>\n EBNA1BP2 (rRNA processing protein EBP2, Nucleolar Binding Protein, NoBP) [51]\n </td>\n <td>\n C18A3.3\n </td>\n </tr>\n <tr>\n <td>\n FGF11-14\n </td>\n <td>\n MAPK8IP2 (Islet-brain-2, JNK MAP kinase scaffold protein 2) [52]\n </td>\n <td>\n \n jip-1\n \n (F56D12.4)\n </td>\n </tr>\n <tr>\n <td>\n EGL-17\n </td>\n <td>\n LRP-1 (Low-density lipoprotein Receptor Related, F29D11.1) [8]\n </td>\n <td>\n \n lrp-1\n \n </td>\n </tr>\n <tr>\n <td>\n EGL-17\n </td>\n <td>\n LRP-2 (Low-density lipoprotein Receptor Related, T21E3.3) [8]\n </td>\n <td>\n \n lrp-2\n \n </td>\n </tr>\n <tr>\n <td>\n EGL-17\n </td>\n <td>\n DAB-1 (Drosophila disabled homolog, M110.5) [8]\n </td>\n <td>\n \n dab-1/dab-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 Pathway/ Gene\n \n </td>\n <td>\n \n Probe ID\n \n </td>\n <td>\n \n # Biopsies (max = 3)\n \n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n \n Glycogen Metabolism (12 genes on array; 8 genes changed; 67 %)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Phosphorylase B kinase alpha, muscle\n </td>\n <td>\n 1369357_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Phosphorylase B kinase gamma, muscle\n </td>\n <td>\n 1387445_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Phosphorylase B kinase gamma, testis/liver\n </td>\n <td>\n 1367788_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n PP2A, catalytic beta\n </td>\n <td>\n 1387261_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n PP2A, B subunit, R5 epsilon\n </td>\n <td>\n 1387485_a_at\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Glycogen phosphorylase, muscle\n </td>\n <td>\n 1370982_at\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Phosphoglucomutase\n </td>\n <td>\n 1369473_at\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Glycogen Synthase Kinase 3 beta\n </td>\n <td>\n 1370267_at\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n Signal transduction of S1P receptor (17 genes on array; 5 genes changed; 29 %)\n </td>\n </tr>\n <tr>\n <td>\n AKT2\n </td>\n <td>\n 1368832_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n G alpha i 1\n </td>\n <td>\n 1387505_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n G alpha i 2\n </td>\n <td>\n 1367844_at\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n ERK-1\n </td>\n <td>\n 1387771_a_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n ERK-2\n </td>\n <td>\n 1369078_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n G protein signaling pathways (50 genes on array; 17 genes changed; 34 %)\n </td>\n </tr>\n <tr>\n <td>\n G beta 2\n </td>\n <td>\n 1398863_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n G beta T2\n </td>\n <td>\n 1398863_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n G gamma 3\n </td>\n <td>\n 1373202_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n G gamma 5\n </td>\n <td>\n 1398818_at\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n AC2\n </td>\n <td>\n 1367978_at\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n AC4\n </td>\n <td>\n 1368370_at\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n AC5\n </td>\n <td>\n 1368298_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n G alpha o 1\n </td>\n <td>\n 1368879_a_at\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n G alpha i 1\n </td>\n <td>\n 1387505_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n G alpha i 2\n </td>\n <td>\n 1367844_at\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n PKA 2 alpha reg\n </td>\n <td>\n 1371059_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n G alpha 11\n </td>\n <td>\n 1387822_at\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Phosphatase 2B Catalytic beta\n </td>\n <td>\n 1387261_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n PKC gamma\n </td>\n <td>\n 1369089_at\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n PKC eta\n </td>\n <td>\n 1369830_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n G alpha 12\n </td>\n <td>\n 1369278_at\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n P115 RhoGEF\n </td>\n <td>\n 1370002_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n TGF Beta Signaling Pathway (40 genes on array; 13 genes changed; 30 %)\n </td>\n </tr>\n <tr>\n <td>\n Betaglycan\n </td>\n <td>\n 1369219_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n TbR-I\n </td>\n <td>\n 1369504_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Activin\n </td>\n <td>\n 1369012_at\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n BMP\n </td>\n <td>\n 1387232_at\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Smad1\n </td>\n <td>\n 1369174_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Smad5\n </td>\n <td>\n 1369276_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Smad7\n </td>\n <td>\n 1368896_at\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Smad2\n </td>\n <td>\n 1368214_at\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n ERK1\n </td>\n <td>\n 1387771_a_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n NF-Kappa-B\n </td>\n <td>\n 1370968_at\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n JNK2\n </td>\n <td>\n 1368646_at\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Osteopontin\n </td>\n <td>\n 1367581_a_at\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n SIP1\n </td>\n <td>\n 1368229_at\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 Gene\n \n </td>\n <td>\n \n Pfam domain name\n \n </td>\n <td>\n \n E value range\n \n </td>\n <td>\n \n genomes hit\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n vs.6\n </td>\n <td>\n Gly_radical formyl transferase\n </td>\n <td>\n 1.40E-45 to 8.8E-15\n </td>\n <td>\n 6/6\n </td>\n </tr>\n <tr>\n <td>\n vs.1\n </td>\n <td>\n SLT Transglycosylase\n </td>\n <td>\n 0.012 to 0.74\n </td>\n <td>\n 6/6\n </td>\n </tr>\n <tr>\n <td>\n nrdC.10\n </td>\n <td>\n AAA ATPase family\n </td>\n <td>\n 0.082 to 0.16\n </td>\n <td>\n 3/3\n </td>\n </tr>\n <tr>\n <td>\n nrdC.10\n </td>\n <td>\n BSD domain\n </td>\n <td>\n 0.076\n </td>\n <td>\n 1/3\n </td>\n </tr>\n <tr>\n <td>\n nrdC.2\n </td>\n <td>\n TFIIS_C\n </td>\n <td>\n 0.021\n </td>\n <td>\n 1/6\n </td>\n </tr>\n <tr>\n <td>\n *nrdC.11\n </td>\n <td>\n COG3541: nucleotidyl transferase\n </td>\n <td>\n 4.0E-07 to 0.013\n </td>\n <td>\n 2/6 full alignment 4/6 partial alignment\n </td>\n </tr>\n <tr>\n <td>\n *tk.4\n </td>\n <td>\n smart00506:A1pp phosphatase\n </td>\n <td>\n 2.0E-20 to 0.04\n </td>\n <td>\n 4/6 full alignment 1/6 partial alignment\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 Candidate gene\n \n </td>\n <td>\n \n Genbank #\n \n </td>\n <td>\n \n Physical Location\n \n </td>\n <td>\n \n Reported closely mapped autism candidate genes or QTL*\n \n </td>\n <td>\n \n Ref\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n ASS\n </td>\n <td>\n AA676405\n </td>\n <td>\n chr9 (130,349,862–130,406,214)\n </td>\n <td>\n dopamine beta-hydroxylase (9q34)\n </td>\n <td>\n 77\n </td>\n </tr>\n <tr>\n <td>\n CHL1\n </td>\n <td>\n H15267\n </td>\n <td>\n chr3 (423,533–426,095)\n </td>\n <td>\n KIAA0121 (3p25.2)\n </td>\n <td>\n 75\n </td>\n </tr>\n <tr>\n <td>\n IL6R-beta, gp130\n </td>\n <td>\n T61343\n </td>\n <td>\n chr5 (55,267,950–55,272,766)\n </td>\n <td>\n Language QTL chr5:40(0–67)\n </td>\n <td>\n 76\n </td>\n </tr>\n <tr>\n <td>\n IL6ST\n </td>\n <td>\n AA406546\n </td>\n <td>\n chr5 (55,271,809–55,272,305)\n </td>\n <td>\n Language QTL chr5:40(0–67)\n </td>\n <td>\n 76\n </td>\n </tr>\n <tr>\n <td>\n DAPK1\n </td>\n <td>\n AI371096\n </td>\n <td>\n chr9 (87,552,642–87,553,099)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n FLAP, ALOX5AP\n </td>\n <td>\n T49652\n </td>\n <td>\n chr13 (30,207,643–30,236,962)\n </td>\n <td>\n AUTS3 (13q14-22), HTR2A-2 (serotonin recep. 2A) (13q14-21)\n </td>\n <td>\n 71, 72\n </td>\n </tr>\n <tr>\n <td>\n ITGB7\n </td>\n <td>\n AI380522\n </td>\n <td>\n chr12 (51,871,361–51,887,333)\n </td>\n <td>\n arginine vasopressin receptor 1A (12q14-15)\n </td>\n <td>\n 69\n </td>\n </tr>\n <tr>\n <td>\n EGR2\n </td>\n <td>\n AA446027\n </td>\n <td>\n chr10 (64,241,755–64,246,081)\n </td>\n <td>\n Language QTL chr10:107(72–126); HTR-7\n </td>\n <td>\n 76\n </td>\n </tr>\n <tr>\n <td>\n ROBO1\n </td>\n <td>\n AA173755\n </td>\n <td>\n chr3 (78,729,082–78,729,496)\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 Item\n \n </td>\n <td>\n \n 1\n \n </td>\n <td>\n \n 2\n \n </td>\n <td>\n \n 3\n \n </td>\n <td>\n \n 4\n \n </td>\n <td>\n \n 5\n \n </td>\n <td>\n \n 6\n \n </td>\n <td>\n \n 7\n \n </td>\n <td>\n \n 8\n \n </td>\n <td>\n \n 9\n \n </td>\n <td>\n \n 10\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 1. Demands of treatment\n </td>\n <td>\n 1\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. Schedule flexibility\n </td>\n <td>\n 0.192*\n </td>\n <td>\n 1\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. Difficulty in receiving every injection\n </td>\n <td>\n 0.399**\n </td>\n <td>\n 0.217**\n </td>\n <td>\n 1\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 4. Treatment-related travel interference w/daily activity\n </td>\n <td>\n 0.468**\n </td>\n <td>\n 0.130\n </td>\n <td>\n 0.367**\n </td>\n <td>\n 1\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 5. Overall inconvenience\n </td>\n <td>\n 0.524**\n </td>\n <td>\n 0.119\n </td>\n <td>\n 0.503**\n </td>\n <td>\n 0.682**\n </td>\n <td>\n 1\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 6. Inconvenience to family/caregivers\n </td>\n <td>\n 0.377**\n </td>\n <td>\n 0.119\n </td>\n <td>\n 0.257**\n </td>\n <td>\n 0.495**\n </td>\n <td>\n 0.557**\n </td>\n <td>\n 1\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 7. Overall physical discomfort from injections\n </td>\n <td>\n 0.368**\n </td>\n <td>\n 0.123\n </td>\n <td>\n 0.393**\n </td>\n <td>\n 0.313**\n </td>\n <td>\n 0.347**\n </td>\n <td>\n 0.265**\n </td>\n <td>\n 1\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 8. Financial burden from out-of-pocket costs\n </td>\n <td>\n 0.404**\n </td>\n <td>\n 0.245**\n </td>\n <td>\n 0.341**\n </td>\n <td>\n 0.375**\n </td>\n <td>\n 0.369**\n </td>\n <td>\n 0.412**\n </td>\n <td>\n 0.240**\n </td>\n <td>\n 1\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 9. Satisfaction with treatment\n </td>\n <td>\n 0.277**\n </td>\n <td>\n 0.245**\n </td>\n <td>\n 0.250**\n </td>\n <td>\n 0.189*\n </td>\n <td>\n 0.130\n </td>\n <td>\n 0.151\n </td>\n <td>\n 0.322**\n </td>\n <td>\n 0.228**\n </td>\n <td>\n 1\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 10. Likelihood of recommending treatment\n </td>\n <td>\n 0.316**\n </td>\n <td>\n 0.168*\n </td>\n <td>\n 0.261**\n </td>\n <td>\n 0.252**\n </td>\n <td>\n 0.230**\n </td>\n <td>\n 0.213**\n </td>\n <td>\n 0.271**\n </td>\n <td>\n 0.239**\n </td>\n <td>\n 0.765**\n </td>\n <td>\n 1\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 Transdermal Fentanyl (ncg/hr)\n \n </td>\n <td colspan=\"2\">\n \n Morphine (mg/day) IM PO\n \n </td>\n <td colspan=\"2\">\n \n Oxycodone (mg/day) IM PO\n \n </td>\n <td colspan=\"2\">\n \n Hydromorphone (mg/day) IM PO\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 25\n </td>\n <td>\n 20\n </td>\n <td>\n 60\n </td>\n <td>\n NA\n </td>\n <td>\n 40\n </td>\n <td>\n 3\n </td>\n <td>\n 15\n </td>\n </tr>\n <tr>\n <td>\n 50\n </td>\n <td>\n 40\n </td>\n <td>\n 120\n </td>\n <td>\n NA\n </td>\n <td>\n 80\n </td>\n <td>\n 6\n </td>\n <td>\n 30\n </td>\n </tr>\n <tr>\n <td>\n 75\n </td>\n <td>\n 60\n </td>\n <td>\n 180\n </td>\n <td>\n NA\n </td>\n <td>\n 120\n </td>\n <td>\n 9\n </td>\n <td>\n 45\n </td>\n </tr>\n <tr>\n <td>\n 100\n </td>\n <td>\n 80\n </td>\n <td>\n 240\n </td>\n <td>\n NA\n </td>\n <td>\n 160\n </td>\n <td>\n 12\n </td>\n <td>\n 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 \n Gene (GenBank accession number)\n \n </td>\n <td>\n \n Primer sequence 5'-3'\n \n </td>\n <td>\n \n Expected amplicon length\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n MV N\n </td>\n <td>\n CAA GAC CCT GAG GGA TTC AAGTT CCT CAC CAC ATC CAA CC\n </td>\n <td>\n 192 bp\n </td>\n </tr>\n <tr>\n <td>\n MV M\n </td>\n <td>\n TGT TAC CCG CTG ATG GGT ATTTC TGG CTG TCA TTG TGA GG (M3'-1R, Jin 2002)\n </td>\n <td>\n 223 bp\n </td>\n </tr>\n <tr>\n <td>\n MV H\n </td>\n <td>\n ATC AGG GAT CAG GGA AAG GTCAT TCG CAA CTT GTC ATC TG (Mh4, Jin 1998)\n </td>\n <td>\n 206 bp\n </td>\n </tr>\n <tr>\n <td>\n GAPDH (NM_002046)\n </td>\n <td>\n GAG TCA ACG GAT TTG GTC GTTTG ATT TTG GAG GGA TCT CG\n </td>\n <td>\n 238 bp\n </td>\n </tr>\n <tr>\n <td>\n beta-actin (NM_001101)\n </td>\n <td>\n GGA CTT CGA GCA AGA GAT GGAGC ACT GTG TTG GGC GTA CAG\n </td>\n <td>\n 234 bp\n </td>\n </tr>\n <tr>\n <td>\n 18S rRNA (X03205)\n </td>\n <td>\n CAT GGC CGT TCT TAG TTG GTCGC TGA GCC AGT CAG TGT AG\n </td>\n <td>\n 218 bp\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 Assessment results\n \n </td>\n <td colspan=\"2\">\n \n CQ treatment group (n = 60)\n \n </td>\n <td colspan=\"2\">\n \n SP treatment group (n = 62)\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n D14\n \n </td>\n <td>\n \n D28\n \n </td>\n <td>\n \n D14\n \n </td>\n <td>\n \n D28\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n ETF\n </td>\n <td>\n 1 (1.7%)\n </td>\n <td>\n 1 (1.7%)\n </td>\n <td>\n 0 (0%)\n </td>\n <td>\n 0 (0%)\n </td>\n </tr>\n <tr>\n <td>\n LCF\n </td>\n <td>\n 1 (1.7%)\n </td>\n <td>\n 3 (5%)\n </td>\n <td>\n 0 (0%)\n </td>\n <td>\n 0 (0%)\n </td>\n </tr>\n <tr>\n <td>\n LPF\n </td>\n <td>\n 6 (10%)\n </td>\n <td>\n 24 (40%)\n </td>\n <td>\n 3 (4.8%)\n </td>\n <td>\n 8 (12.9%)\n </td>\n </tr>\n <tr>\n <td>\n ACPR\n </td>\n <td>\n 52 (86.6%)\n </td>\n <td>\n 32 (53.3%)\n </td>\n <td>\n 59 (95.2%)\n </td>\n <td>\n 54 (87.1%)\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 60(100%)\n </td>\n <td>\n 60(100%)\n </td>\n <td>\n 62(100%)\n </td>\n <td>\n 62(100%)\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 nb of clusters\n \n </td>\n <td>\n \n contigs/cluster\n \n </td>\n <td>\n \n nb of contigs\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n 2197\n </td>\n <td>\n 1\n </td>\n <td>\n 2197\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 80\n </td>\n <td>\n 2\n </td>\n <td>\n 160\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 7\n </td>\n <td>\n 3\n </td>\n <td>\n 21\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 5\n </td>\n <td>\n 4\n </td>\n <td>\n 20\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 2\n </td>\n <td>\n 6\n </td>\n <td>\n 12\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1\n </td>\n <td>\n 8\n </td>\n <td>\n 8\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1\n </td>\n <td>\n 9\n </td>\n <td>\n 9\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n </tr>\n <tr>\n <td>\n \n total\n \n </td>\n <td>\n 2294\n </td>\n <td>\n </td>\n <td>\n 2437\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 Incubation medium\n \n </td>\n <td>\n \n Manufacturer\n \n </td>\n <td>\n \n Fluoride\n \n </td>\n <td>\n \n Fluoride content (mg/l)\n \n </td>\n <td>\n \n pH\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Group 1 Placebo tooth paste\n </td>\n <td>\n Ø\n </td>\n <td>\n Ø\n </td>\n <td>\n Ø\n </td>\n <td>\n 6.3\n </td>\n </tr>\n <tr>\n <td>\n Group 2 Remineralization solution\n </td>\n <td>\n Ø\n </td>\n <td>\n Ø\n </td>\n <td>\n Ø\n </td>\n <td>\n 7.4\n </td>\n </tr>\n <tr>\n <td>\n Group 3 Elmex Anticaries\n </td>\n <td>\n GABA AG\n </td>\n <td>\n Amine fluoride\n </td>\n <td>\n 1250\n </td>\n <td>\n 4.7\n </td>\n </tr>\n <tr>\n <td>\n Group 4 Elmex Sensitive\n </td>\n <td>\n GABA AG\n </td>\n <td>\n Amine fluoride\n </td>\n <td>\n 1400\n </td>\n <td>\n 5.1\n </td>\n </tr>\n <tr>\n <td>\n Group 5 Blend-a-med Complete\n </td>\n <td>\n Procter and Gamble\n </td>\n <td>\n Sodium fluoride\n </td>\n <td>\n 1450\n </td>\n <td>\n 7.6\n </td>\n </tr>\n <tr>\n <td>\n Group 6 Colgate GRF\n </td>\n <td>\n Colgate Palmolive\n </td>\n <td>\n Sodium monofluorophosphate\n </td>\n <td>\n 1450\n </td>\n <td>\n 7.0\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 \n Group\n \n </td>\n <td colspan=\"3\">\n \n Time\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n \n Pre-Tx\n \n </td>\n <td>\n \n Post-Tx\n \n </td>\n <td>\n \n 3-months FU\n \n <sup>\n \n 1\n \n </sup>\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n CBT\n </td>\n </tr>\n <tr>\n <td>\n M\n </td>\n <td>\n 47.6\n </td>\n <td>\n 18.3\n </td>\n <td>\n 18.9\n </td>\n </tr>\n <tr>\n <td>\n SD\n </td>\n <td>\n 19.1\n </td>\n <td>\n 18.8\n </td>\n <td>\n 23.8\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n Wait List\n </td>\n </tr>\n <tr>\n <td>\n M\n </td>\n <td>\n 41.8\n </td>\n <td>\n 35.2\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n SD\n </td>\n <td>\n 17.1\n </td>\n <td>\n 23.0\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 </td>\n <td>\n \n No of patients\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"2\">\n \n sex\n \n </td>\n </tr>\n <tr>\n <td>\n male\n </td>\n <td>\n 24\n </td>\n </tr>\n <tr>\n <td>\n female\n </td>\n <td>\n 16\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n \n Location of tumour\n \n *\n </td>\n </tr>\n <tr>\n <td>\n right\n </td>\n <td>\n 14\n </td>\n </tr>\n <tr>\n <td>\n left\n </td>\n <td>\n 14\n </td>\n </tr>\n <tr>\n <td>\n rectum\n </td>\n <td>\n 12\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n \n Dukes' stage\n \n </td>\n </tr>\n <tr>\n <td>\n A\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n B\n </td>\n <td>\n 13\n </td>\n </tr>\n <tr>\n <td>\n C\n </td>\n <td>\n 15\n </td>\n </tr>\n <tr>\n <td>\n D\n </td>\n <td>\n 10\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n \n Differentiation grade§\n \n </td>\n </tr>\n <tr>\n <td>\n G1\n </td>\n <td>\n 10\n </td>\n </tr>\n <tr>\n <td>\n G2\n </td>\n <td>\n 18\n </td>\n </tr>\n <tr>\n <td>\n G3\n </td>\n <td>\n 12\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 <underline>\n scrapie positive in CNS\n </underline>\n \n </td>\n <td colspan=\"2\">\n \n <underline>\n scrapie negative in CNS\n </underline>\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n WB\n \n </td>\n <td>\n \n IHC\n \n </td>\n <td>\n \n WB\n \n </td>\n <td>\n \n IHC\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n all genotypes\n \n </td>\n <td>\n 51/61\n </td>\n <td>\n 53/61\n </td>\n <td>\n 1/7\n </td>\n <td>\n 1/7\n </td>\n </tr>\n <tr>\n <td>\n \n per genotype\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 ARQ/ARQ\n </td>\n <td>\n 5/7\n </td>\n <td>\n 6/7\n </td>\n <td>\n 0/1\n </td>\n <td>\n 0/1\n </td>\n </tr>\n <tr>\n <td>\n ARQ/ARR\n </td>\n <td>\n none\n </td>\n <td>\n none\n </td>\n <td>\n 0/2\n </td>\n <td>\n 0/2\n </td>\n </tr>\n <tr>\n <td>\n VRQ/VRQ\n </td>\n <td>\n 6/6\n </td>\n <td>\n 6/6\n </td>\n <td>\n none\n </td>\n <td>\n none\n </td>\n </tr>\n <tr>\n <td>\n ARQ/VRQ\n </td>\n <td>\n 32/32\n </td>\n <td>\n 32/32\n </td>\n <td>\n 1\n <sup>\n †\n </sup>\n /2\n </td>\n <td>\n 1\n <sup>\n †\n </sup>\n /2\n </td>\n </tr>\n <tr>\n <td>\n ARH/VRQ\n </td>\n <td>\n 7/7\n </td>\n <td>\n 7/7\n </td>\n <td>\n none\n </td>\n <td>\n none\n </td>\n </tr>\n <tr>\n <td>\n ARR/VRQ\n <sup>\n ‡\n </sup>\n </td>\n <td>\n 1/9\n </td>\n <td>\n 2/9\n </td>\n <td>\n 0/2\n </td>\n <td>\n 0/2\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 colspan=\"2\">\n \n Road workers (n = 10)\n \n </td>\n <td colspan=\"2\">\n \n Pavers (n = 10)\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Mean ± SD\n \n </td>\n <td>\n \n Range\n \n </td>\n <td>\n \n Mean ± SD\n \n </td>\n <td>\n \n Range\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age (years)\n </td>\n <td>\n 40 ± 4\n </td>\n <td>\n 20–60\n </td>\n <td>\n 30 ± 4\n </td>\n <td>\n 30–60\n </td>\n </tr>\n <tr>\n <td>\n Height (cm)\n </td>\n <td>\n 180 ± 5\n </td>\n <td>\n 173–187\n </td>\n <td>\n 172 ± 7\n </td>\n <td>\n 165–180\n </td>\n </tr>\n <tr>\n <td>\n Weight (kg)\n </td>\n <td>\n 81 ± 9\n </td>\n <td>\n 65–97\n </td>\n <td>\n 76 ± 6\n </td>\n <td>\n 60–92\n </td>\n </tr>\n <tr>\n <td>\n Body mass index (BMI, kg/m\n <sup>\n 2\n </sup>\n )\n </td>\n <td>\n 25 ± 6\n </td>\n <td>\n 17–36\n </td>\n <td>\n 25 ± 3\n </td>\n <td>\n 19–28\n </td>\n </tr>\n <tr>\n <td>\n Rest heart rate (beats/min)\n </td>\n <td>\n 67 ± 7\n </td>\n <td>\n 56–78\n </td>\n <td>\n 62 ± 6\n </td>\n <td>\n 50–74\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 Reference\n \n </td>\n <td>\n \n Definition of failed noninvasive ventilation\n \n </td>\n <td>\n \n Participants\n \n </td>\n <td>\n \n Interventions\n \n </td>\n <td>\n \n Outcomes\n \n </td>\n <td>\n \n Factors pertaining to the quality of studies\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n [15]\n </td>\n <td>\n GCS score ≤13, persistent severe respiratory distress, Po\n <sub>\n 2\n </sub>\n <60 mmHg despite oxygen supplementation, an increase in PaCO\n <sub>\n 2\n </sub>\n >5 mmHg\n </td>\n <td>\n 56 patients (recruited between January 1999 and August 2000), mean APACHE II score 19.5, mean age 64 years, mean PaCO\n <sub>\n 2\n </sub>\n at presentation 40 mmHg\n </td>\n <td>\n Variable CPAP (10–16 cmH\n <sub>\n 2\n </sub>\n O), variable BiPAP (starting from 15 and 10 cmH\n <sub>\n 2\n </sub>\n O; maximum not described)\n </td>\n <td>\n Proportion of patients with hospital mortality and requiring intubation, the duration of noninvasive ventilation needed and hospital length of stay\n </td>\n <td>\n Allocation concealment adequate; study not blinded; 3.6% of patients did not have pulmonary oedema were excluded from analysis; analysis was by intention to treat; Jadad scale score 3\n </td>\n </tr>\n <tr>\n <td>\n [9]\n </td>\n <td>\n Severe respiratory distress, inability to tolerate or synchronize with the mask, further deterioration in vital signs or significant haemodynamic compromise, Po\n <sub>\n 2\n </sub>\n <60 mmHg despite oxygen supplementation, an increase in PaCO\n <sub>\n 2\n </sub>\n >5 mmHg\n </td>\n <td>\n 36 patients, mean APACHE II score 18, mean age 77 years, mean PaCO\n <sub>\n 2\n </sub>\n at presentation 50 mmHg\n </td>\n <td>\n Fixed CPAP (10 cmH\n <sub>\n 2\n </sub>\n O), fixed BiPAP (15 and 5 cmH\n <sub>\n 2\n </sub>\n O)\n </td>\n <td>\n Proportion of patients with hospital mortality and requiring intubation, new onset acute myocardial infarction, duration of noninvasive ventilation needed and hospital length of stay\n </td>\n <td>\n Allocation concealment not clear; double blinding; 22% of enrolled patients did not have pulmonary oedema and were excluded from analysis, and 2.8% were excluded because of delay in starting CPAP; analysis was not by intention to treat; Jadad scale score 5\n </td>\n </tr>\n <tr>\n <td>\n [14]\n </td>\n <td>\n Intubation determined by the attending physician but criteria were not described\n </td>\n <td>\n 16 patients (recruited between May and October 1997), mean APACHE II score not available, mean age 69 years, mean PaCO\n <sub>\n 2\n </sub>\n at presentation 40 mmHg\n </td>\n <td>\n Variable CPAP (5–12.5 cmH\n <sub>\n 2\n </sub>\n O), variable BiPAP (starting from 8 and 3 cmH\n <sub>\n 2\n </sub>\n O; maximum not described)\n </td>\n <td>\n Proportion of patients with hospital mortality and requiring intubation, duration of noninvasive ventilation needed\n </td>\n <td>\n Allocation concealment not clear; not blinded; no loss to follow up; analysis by intention to treat; Jadad scale score 2\n </td>\n </tr>\n <tr>\n <td>\n [16]\n </td>\n <td>\n Respiratory arrest, respiratory pauses with loss of consciousness, agitation making nursing care impossible and requiring sedation, haemodynamic instability with systolic blood pressure <70 mmHg, and the clinician could elect to intubate if they felt that the patient's condition was not improving satisfactorily\n </td>\n <td>\n 71 patients, mean APACHE II score not available, mean age 74 years, mean PaCO\n <sub>\n 2\n </sub>\n at presentation not available\n </td>\n <td>\n Variable CPAP (5–20 cmH\n <sub>\n 2\n </sub>\n O), variable BiPAP (starting from 10 and 5 cmH\n <sub>\n 2\n </sub>\n O; maximum 20 and 5)\n </td>\n <td>\n Proportion of patients with hospital mortality and requiring intubation, the duration of noninvasive ventilation needed and hospital length of stay\n </td>\n <td>\n Allocation concealment not clear; not blinded; no loss to follow up; analysis by intention to treat; Jadad scale score 2\n </td>\n </tr>\n <tr>\n <td>\n [18]\n </td>\n <td>\n Respiratory arrest, respiratory pauses with loss of consciousness, agitation making nursing care impossible and requiring sedation, haemodynamic instability with systolic blood pressure <70 mmHg\n </td>\n <td>\n 46 patients (recruited between March 2002 and March 2003), mean APACHE II score 18, mean age 77 years, mean PaCO\n <sub>\n 2\n </sub>\n at presentation 54 mmHg\n </td>\n <td>\n Fixed CPAP (10 cmH\n <sub>\n 2\n </sub>\n O), variable BiPAP (starting with 15 and 5 cmH\n <sub>\n 2\n </sub>\n O; titration of inspiratory pressure to achieve tidal volume >400 ml)\n </td>\n <td>\n Proportion of patients with hospital mortality and requiring intubation, new onset acute myocardial infarction, duration of noninvasive ventilation needed\n </td>\n <td>\n Allocation concealment adequate; not blinded; no loss to follow up; analysis by intention to treat; Jadad scale score 3\n </td>\n </tr>\n <tr>\n <td>\n [17]\n </td>\n <td>\n Respiratory arrest, respiratory pauses with loss of consciousness, agitation making nursing care impossible and requiring sedation, haemodynamic instability with systolic blood pressure <70 mmHg\n </td>\n <td>\n 36 patients (recruited between January 2001 and January 2002), mean APACHE II score 18, mean age 77 years, mean PaCO\n <sub>\n 2\n </sub>\n at presentation 63 mmHg\n </td>\n <td>\n Fixed CPAP (10 cmH\n <sub>\n 2\n </sub>\n O), variable BiPAP (starting with 15 and 5 cmH\n <sub>\n 2\n </sub>\n O; titration of inspiratory pressure to achieve tidal volume >400 ml)\n </td>\n <td>\n Proportion of patients with hospital mortality and requiring intubation, duration of noninvasive ventilation needed\n </td>\n <td>\n Allocation concealment adequate; not blinded; no loss to follow up; analysis by intention to treat; Jadad scale score 3\n </td>\n </tr>\n <tr>\n <td>\n [19]\n </td>\n <td>\n Worsening clinical signs (respiratory rate >40 or <10 breaths/minute, reduced conscious level) associated with a falling arterial pH (less than at arrival and <7.2)\n </td>\n <td>\n 40 patients, mean APACHE II score not available, mean age 75 years, mean PaCO\n <sub>\n 2\n </sub>\n at presentation 62 mmHg\n </td>\n <td>\n Fixed CPAP (10 cmH\n <sub>\n 2\n </sub>\n O), fixed BiPAP (15 and 5 cmH\n <sub>\n 2\n </sub>\n O)\n </td>\n <td>\n Proportion of patients with hospital mortality and requiring intubation, new onset myocardial infarction\n </td>\n <td>\n Allocation concealment adequate; not blinded; no loss to follow up; analysis by intention to treat; Jadad scale score 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 </td>\n <td colspan=\"2\">\n \n MDI\n \n </td>\n <td colspan=\"2\">\n \n PDI\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n β\n \n </td>\n <td>\n \n \n p\n \n -Value\n \n </td>\n <td>\n \n β\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 60.46\n </td>\n <td>\n < 0.01\n </td>\n <td>\n 84.76\n </td>\n <td>\n < 0.01\n </td>\n </tr>\n <tr>\n <td>\n 24 months\n </td>\n <td>\n −9.87\n </td>\n <td>\n < 0.01\n </td>\n <td>\n −2.12\n </td>\n <td>\n 0.20\n </td>\n </tr>\n <tr>\n <td>\n 36 months\n </td>\n <td>\n −4.29\n </td>\n <td>\n 0.01\n </td>\n <td>\n 3.53\n </td>\n <td>\n 0.08\n </td>\n </tr>\n <tr>\n <td>\n PAHs\n </td>\n <td>\n 0.69\n </td>\n <td>\n 0.66\n </td>\n <td>\n 1.89\n </td>\n <td>\n 0.35\n </td>\n </tr>\n <tr>\n <td>\n 24 months × PAHs\n </td>\n <td>\n −1.12\n </td>\n <td>\n 0.62\n </td>\n <td>\n −3.14\n </td>\n <td>\n 0.16\n </td>\n </tr>\n <tr>\n <td>\n 36 months × PAHs\n </td>\n <td>\n −5.57\n </td>\n <td>\n 0.01\n </td>\n <td>\n −4.65\n </td>\n <td>\n 0.08\n </td>\n </tr>\n <tr>\n <td>\n Ethnicity (1 = African American; 0 = others)\n </td>\n <td>\n −0.23\n </td>\n <td>\n 0.88\n </td>\n <td>\n −3.38\n </td>\n <td>\n 0.07\n </td>\n </tr>\n <tr>\n <td>\n 24 months × ethnicity\n </td>\n <td>\n 6.80\n </td>\n <td>\n < 0.01\n </td>\n <td>\n 5.71\n </td>\n <td>\n 0.01\n </td>\n </tr>\n <tr>\n <td>\n 36 months × ethnicity\n </td>\n <td>\n 7.14\n </td>\n <td>\n < 0.01\n </td>\n <td>\n 7.91\n </td>\n <td>\n < 0.01\n </td>\n </tr>\n <tr>\n <td>\n Sex (1 = male)\n </td>\n <td>\n −2.80\n </td>\n <td>\n 0.01\n </td>\n <td>\n 0.08\n </td>\n <td>\n 0.95\n </td>\n </tr>\n <tr>\n <td>\n Gestational age\n </td>\n <td>\n 0.56\n </td>\n <td>\n 0.16\n </td>\n <td>\n 0.23\n </td>\n <td>\n 0.62\n </td>\n </tr>\n <tr>\n <td>\n Home environment\n </td>\n <td>\n 0.31\n </td>\n <td>\n < 0.01\n </td>\n <td>\n 0.11\n </td>\n <td>\n 0.39\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 colspan=\"6\">\n \n Time spent home alone after schoolhours per weekday × days per week\n \n </td>\n <td>\n \n Significance#\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n \n *0\n \n </td>\n <td colspan=\"2\">\n \n 1–2\n \n </td>\n <td colspan=\"2\">\n \n 2 or more\n \n </td>\n <td>\n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Ethnicity; % (n)\n </td>\n <td colspan=\"2\">\n (n = 615)\n </td>\n <td colspan=\"2\">\n (n = 638)\n </td>\n <td colspan=\"2\">\n (n = 305)\n </td>\n <td>\n P < 0.001\n </td>\n </tr>\n <tr>\n <td>\n African American\n </td>\n <td>\n 21.4\n </td>\n <td>\n (132)\n </td>\n <td>\n 15.0\n </td>\n <td>\n (96)\n </td>\n <td>\n 37.7\n </td>\n <td>\n (115)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n White\n </td>\n <td>\n 45.7\n </td>\n <td>\n (281)\n </td>\n <td>\n 51.5\n </td>\n <td>\n (329)\n </td>\n <td>\n 28.8\n </td>\n <td>\n (88)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Hispanic\n </td>\n <td>\n 21.3\n </td>\n <td>\n (131)\n </td>\n <td>\n 22.1\n </td>\n <td>\n (141)\n </td>\n <td>\n 21.3\n </td>\n <td>\n (65)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Other\n </td>\n <td>\n 11.5\n </td>\n <td>\n (71)\n </td>\n <td>\n 11.2\n </td>\n <td>\n (72)\n </td>\n <td>\n 12.1\n </td>\n <td>\n (37)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Father's Education; % (n)\n </td>\n <td colspan=\"2\">\n (n = 574)\n </td>\n <td colspan=\"2\">\n (n = 595)\n </td>\n <td colspan=\"2\">\n (n = 287)\n </td>\n <td>\n P < 0.001\n </td>\n </tr>\n <tr>\n <td>\n <high school=\"\">\n <td>\n 6.8\n </td>\n <td>\n (39)\n </td>\n <td>\n 6.2\n </td>\n <td>\n (37)\n </td>\n <td>\n 12.9\n </td>\n <td>\n (37)\n </td>\n <td>\n </td>\n </high>\n </td>\n </tr>\n <tr>\n <td>\n = High school\n </td>\n <td>\n 13.1\n </td>\n <td>\n (75)\n </td>\n <td>\n 13.3\n </td>\n <td>\n (79)\n </td>\n <td>\n 11.1\n </td>\n <td>\n (32)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n >High school\n </td>\n <td>\n 39.7\n </td>\n <td>\n (228)\n </td>\n <td>\n 44.4\n </td>\n <td>\n (264)\n </td>\n <td>\n 31.7\n </td>\n <td>\n (91)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Unknown\n </td>\n <td>\n 40.4\n </td>\n <td>\n (232)\n </td>\n <td>\n 36.1\n </td>\n <td>\n (215)\n </td>\n <td>\n 44.3\n </td>\n <td>\n (127)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Mother's Education; % (n)\n </td>\n <td colspan=\"2\">\n (n = 574)\n </td>\n <td colspan=\"2\">\n (n = 595)\n </td>\n <td colspan=\"2\">\n (n = 285)\n </td>\n <td>\n P = 0.36\n </td>\n </tr>\n <tr>\n <td>\n <high school=\"\">\n <td>\n 7.1\n </td>\n <td>\n (41)\n </td>\n <td>\n 6.9\n </td>\n <td>\n (41)\n </td>\n <td>\n 8.7\n </td>\n <td>\n (25)\n </td>\n <td>\n </td>\n </high>\n </td>\n </tr>\n <tr>\n <td>\n = High school\n </td>\n <td>\n 15.5\n </td>\n <td>\n (89)\n </td>\n <td>\n 14.1\n </td>\n <td>\n (84)\n </td>\n <td>\n 15.8\n </td>\n <td>\n (45)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n >High school\n </td>\n <td>\n 44.4\n </td>\n <td>\n (255)\n </td>\n <td>\n 50.8\n </td>\n <td>\n (302)\n </td>\n <td>\n 44.6\n </td>\n <td>\n (127)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Unknown\n </td>\n <td>\n 32.9\n </td>\n <td>\n (189)\n </td>\n <td>\n 28.2\n </td>\n <td>\n (168)\n </td>\n <td>\n 30.9\n </td>\n <td>\n (88)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Free Lunch; % (n)\n </td>\n <td colspan=\"2\">\n (n = 613)\n </td>\n <td colspan=\"2\">\n (n = 631)\n </td>\n <td colspan=\"2\">\n (n = 301)\n </td>\n <td>\n P < 0.001\n </td>\n </tr>\n <tr>\n <td>\n Yes\n </td>\n <td>\n 40.9\n </td>\n <td>\n (251)\n </td>\n <td>\n 36.9\n </td>\n <td>\n (233)\n </td>\n <td>\n 55.1\n </td>\n <td>\n (166)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n No\n </td>\n <td>\n 46.5\n </td>\n <td>\n (285)\n </td>\n <td>\n 49.6\n </td>\n <td>\n (313)\n </td>\n <td>\n 34.9\n </td>\n <td>\n (105)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Do not know\n </td>\n <td>\n 12.6\n </td>\n <td>\n (77)\n </td>\n <td>\n 13.5\n </td>\n <td>\n (85)\n </td>\n <td>\n 9.9\n </td>\n <td>\n (30)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Neighborhood Resources mean, (SD)\n </td>\n <td>\n 0.58\n </td>\n <td>\n (0.22)\n </td>\n <td>\n 0.58\n </td>\n <td>\n (0.21)\n </td>\n <td>\n 0.55\n </td>\n <td>\n (0.20)\n </td>\n <td>\n P = .31\n </td>\n </tr>\n <tr>\n <td>\n Transportation resources. mean, (SD)\n </td>\n <td>\n 0.81\n </td>\n <td>\n (0.21)\n </td>\n <td>\n 0.75\n </td>\n <td>\n (.20)\n </td>\n <td>\n 0.72\n </td>\n <td>\n (0.22)\n </td>\n <td>\n P < .0001\n </td>\n </tr>\n <tr>\n <td>\n Minutes of Moderate-Vigorous Activity Level after School (bell to 6 pm)* mean, (SD)\n </td>\n <td>\n 7.6\n </td>\n <td>\n (6.7)\n </td>\n <td>\n 8.1\n </td>\n <td>\n (7.4)\n </td>\n <td>\n 8.5\n </td>\n <td>\n (7.3)\n </td>\n <td>\n P = 0.04\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/marker\n \n </td>\n <td>\n \n Chromosome localization\n \n </td>\n <td>\n \n Polymorphism type* [refSNP ID]**\n \n </td>\n <td>\n \n Names of alleles considered\n \n </td>\n <td>\n \n Method of analysis (the restriction endonuclease used)\n \n </td>\n <td>\n \n Numbers of genotyped MS patients/controls\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n DRB1\n \n </td>\n <td>\n 6p21\n </td>\n <td>\n Allele groups corresponding to serological specificities DR1-DR18(3)\n </td>\n <td>\n 01–18(3) [44]\n </td>\n <td>\n PCR-SSP\n </td>\n <td>\n 229/314\n </td>\n </tr>\n <tr>\n <td>\n Microsatellite TNFa\n </td>\n <td>\n 6p21\n </td>\n <td>\n (AC)\n <sub>\n n\n </sub>\n </td>\n <td>\n a1-a13[23]\n </td>\n <td>\n Nested PCR\n </td>\n <td>\n 121/103\n </td>\n </tr>\n <tr>\n <td>\n Microsatellite TNFb\n </td>\n <td>\n 6p21\n </td>\n <td>\n (TC)\n <sub>\n n\n </sub>\n </td>\n <td>\n b1-b7[23]\n </td>\n <td>\n Nested PCR\n </td>\n <td>\n 120/96\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SNP -376A→G [rs1800750]\n </td>\n <td>\n A, G\n </td>\n <td>\n PCR-SSP\n </td>\n <td>\n 202/146\n </td>\n </tr>\n <tr>\n <td>\n \n TNF\n \n </td>\n <td>\n 6p21\n </td>\n <td>\n SNP -308G→A [rs1800629]\n </td>\n <td>\n A1, A2\n </td>\n <td>\n PCR-SSP\n </td>\n <td>\n 223/222\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SNP -238A→G [rs361525]\n </td>\n <td>\n B1, B2\n </td>\n <td>\n PCR-RFLP (\n \n Bam\n \n HI)\n </td>\n <td>\n 165/112\n </td>\n </tr>\n <tr>\n <td>\n \n LT\n \n </td>\n <td>\n 6p21\n </td>\n <td>\n SNP +252G→A\n </td>\n <td>\n N1, N2\n </td>\n <td>\n PCR-RFLP (\n \n Nco\n \n I)\n </td>\n <td>\n 205/150\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SNP +319C→G\n </td>\n <td>\n H1, H2\n </td>\n <td>\n PCR-RFLP (\n \n Asp\n \n HI)\n </td>\n <td>\n 202/147\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SNP -509C→T [rs17551290]\n </td>\n <td>\n C, T\n </td>\n <td>\n PCR-SSO\n </td>\n <td>\n 119/295\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SNP +72 wild type→C insertion\n </td>\n <td>\n wt, ins\n </td>\n <td>\n </td>\n <td>\n 198/340\n </td>\n </tr>\n <tr>\n <td>\n \n TGFβ1\n \n </td>\n <td>\n 19q13\n </td>\n <td>\n SNP +869T→C (10Leu→Pro)\n </td>\n <td>\n T, C\n </td>\n <td>\n </td>\n <td>\n 150/248\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SNP +915G→C (25Arg→Pro)\n </td>\n <td>\n G, C\n </td>\n <td>\n </td>\n <td>\n 157/248\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SNP +1632C→T (263Thr→Ile)\n </td>\n <td>\n C, T\n </td>\n <td>\n </td>\n <td>\n 178/109\n </td>\n </tr>\n <tr>\n <td>\n \n CCR5\n \n </td>\n <td>\n 3p21\n </td>\n <td>\n Wild type→32 base pair deletion\n </td>\n <td>\n wt, Δ 32\n </td>\n <td>\n PCR\n </td>\n <td>\n 221/355\n </td>\n </tr>\n <tr>\n <td>\n \n CTLA4\n \n </td>\n <td>\n 2q33\n </td>\n <td>\n SNP +49A→G (17Thr→Ala) [rs231775]\n </td>\n <td>\n A, G\n </td>\n <td>\n PCR-RFLP (\n \n Bst\n \n EII)\n </td>\n <td>\n 168/209\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 \n MFI\n \n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Cell Line Sample\n \n </td>\n <td>\n \n c.1448T\n \n </td>\n <td>\n \n c.1448T>C\n \n </td>\n <td>\n \n Ratio\n \n </td>\n <td>\n \n call\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n NA03461\n </td>\n <td>\n 1268\n </td>\n <td>\n 36\n </td>\n <td>\n 0.03\n </td>\n <td>\n Normal\n </td>\n </tr>\n <tr>\n <td>\n NA09960\n </td>\n <td>\n 1285\n </td>\n <td>\n 10\n </td>\n <td>\n 0.01\n </td>\n <td>\n Normal\n </td>\n </tr>\n <tr>\n <td>\n NA16193\n </td>\n <td>\n 1142\n </td>\n <td>\n 71\n </td>\n <td>\n 0.06\n </td>\n <td>\n Normal\n </td>\n </tr>\n <tr>\n <td>\n NA00852\n </td>\n <td>\n 1353\n </td>\n <td>\n 110\n </td>\n <td>\n 0.08\n </td>\n <td>\n Normal\n </td>\n </tr>\n <tr>\n <td>\n NA11215\n </td>\n <td>\n 1228\n </td>\n <td>\n 53\n </td>\n <td>\n 0.04\n </td>\n <td>\n Normal\n <sup>\n \n a\n \n </sup>\n </td>\n </tr>\n <tr>\n <td>\n NA10915\n </td>\n <td>\n 57\n </td>\n <td>\n 1804\n </td>\n <td>\n 0.97\n </td>\n <td>\n c.1448T>C mut\n <sup>\n \n a\n \n ,\n \n b\n \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 </td>\n <td colspan=\"5\">\n \n Sub-specialties %\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 </td>\n <td>\n </td>\n <td colspan=\"4\">\n \n Largest\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 Journals read\n \n </td>\n <td>\n \n All\n \n </td>\n <td>\n \n General surgery\n \n </td>\n <td>\n \n Otolaryng ology\n \n </td>\n <td>\n \n Urology\n \n </td>\n <td>\n \n Vascular surgery\n \n </td>\n <td>\n \n NHS (England) surgery publications 1990–99\n \n </td>\n <td>\n \n JIF 2001\n \n </td>\n <td>\n \n 24 listed journals ranked by JIF\n \n </td>\n <td>\n \n 139 surgery journals from SCI's ranking by JIF\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n BMJ (UK)\n \n </td>\n <td>\n 77.9\n </td>\n <td>\n 81.1\n </td>\n <td>\n 77.8\n </td>\n <td>\n 80.5\n </td>\n <td>\n 87.3\n </td>\n <td>\n 263\n </td>\n <td>\n 6.6\n </td>\n <td>\n 3\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n \n Annals of the Royal College of Surgeons of England (UK)\n \n \n </td>\n <td>\n \n 61.0\n \n </td>\n <td>\n \n 77.1\n \n </td>\n <td>\n \n 48.9\n \n </td>\n <td>\n \n 48.0\n \n </td>\n <td>\n \n 72.5\n \n </td>\n <td>\n \n 838\n \n </td>\n <td>\n \n 0.5\n \n </td>\n <td>\n \n 21\n \n </td>\n <td>\n \n 103\n \n </td>\n </tr>\n <tr>\n <td>\n \n British Journal of Surgery (UK)\n \n </td>\n <td>\n 48.0\n </td>\n <td>\n 97.2\n </td>\n <td>\n 1.5\n </td>\n <td>\n 14.6\n </td>\n <td>\n 93.1\n </td>\n <td>\n 1510\n </td>\n <td>\n 3.5\n </td>\n <td>\n 4\n </td>\n <td>\n 5\n </td>\n </tr>\n <tr>\n <td>\n \n \n Lancet (UK)\n \n \n </td>\n <td>\n \n 30.8\n \n </td>\n <td>\n \n 48.0\n \n </td>\n <td>\n \n 11.9\n \n </td>\n <td>\n \n 23.6\n \n </td>\n <td>\n \n 49.0\n \n </td>\n <td>\n \n 211\n \n </td>\n <td>\n \n 13.3\n \n </td>\n <td>\n \n 1\n \n </td>\n <td>\n \n -\n \n </td>\n </tr>\n <tr>\n <td>\n \n Annals of Surgery\n \n </td>\n <td>\n 24.7\n </td>\n <td>\n 47.2\n </td>\n <td>\n 5.9\n </td>\n <td>\n 10.6\n </td>\n <td>\n 29.4\n </td>\n <td>\n 18\n </td>\n <td>\n 6.7\n </td>\n <td>\n 2\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n \n \n Journal of the Royal Society of Medicine (UK)\n \n \n </td>\n <td>\n \n 18.6\n \n </td>\n <td>\n \n 21.2\n \n </td>\n <td>\n \n 29.6\n \n </td>\n <td>\n \n 15.4\n \n </td>\n <td>\n \n 14.7\n \n </td>\n <td>\n \n 308\n \n </td>\n <td>\n \n 0.7\n \n </td>\n <td>\n \n 19\n \n </td>\n <td>\n \n -\n \n </td>\n </tr>\n <tr>\n <td>\n \n Surgery\n \n </td>\n <td>\n 16.7\n </td>\n <td>\n 31.6\n </td>\n <td>\n 3.7\n </td>\n <td>\n 7.3\n </td>\n <td>\n 23.5\n </td>\n <td>\n 37\n </td>\n <td>\n 2.6\n </td>\n <td>\n 8\n </td>\n <td>\n 14\n </td>\n </tr>\n <tr>\n <td>\n \n \n BJU International (British Journal of Urology) (UK)\n \n \n </td>\n <td>\n \n 14.6\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 98.4\n \n </td>\n <td>\n \n 2.0\n \n </td>\n <td>\n \n 458\n \n </td>\n <td>\n \n 1.4\n \n </td>\n <td>\n \n 12\n \n </td>\n <td>\n \n -\n \n </td>\n </tr>\n <tr>\n <td>\n \n Clinical Otolaryngology (UK)\n \n </td>\n <td>\n 14.3\n </td>\n <td>\n 0.0\n </td>\n <td>\n 97.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n 123\n </td>\n <td>\n 0.7\n </td>\n <td>\n 19\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n \n Journal of Urology\n \n \n </td>\n <td>\n \n 12.3\n \n </td>\n <td>\n \n 1.1\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 87.0\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 54\n \n </td>\n <td>\n \n 3.2\n \n </td>\n <td>\n \n 5\n \n </td>\n <td>\n \n -\n \n </td>\n </tr>\n <tr>\n <td>\n \n British Journal of Plastic Surgery (UK)\n \n </td>\n <td>\n 10.7\n </td>\n <td>\n 1.7\n </td>\n <td>\n 3.7\n </td>\n <td>\n 0.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n 372\n </td>\n <td>\n 0.8\n </td>\n <td>\n 17\n </td>\n <td>\n 67\n </td>\n </tr>\n <tr>\n <td>\n \n \n Journal of Vascular Surgery\n \n \n </td>\n <td>\n \n 8.3\n \n </td>\n <td>\n \n 9.3\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 0.8\n \n </td>\n <td>\n \n 76.5\n \n </td>\n <td>\n \n 76\n \n </td>\n <td>\n \n 3.1\n \n </td>\n <td>\n \n 6\n \n </td>\n <td>\n \n 7\n \n </td>\n </tr>\n <tr>\n <td>\n \n Archives of Surgery\n \n </td>\n <td>\n 8.1\n </td>\n <td>\n 18.6\n </td>\n <td>\n 0.7\n </td>\n <td>\n 0.0\n </td>\n <td>\n 10.8\n </td>\n <td>\n 19\n </td>\n <td>\n 2.8\n </td>\n <td>\n 7\n </td>\n <td>\n 11\n </td>\n </tr>\n <tr>\n <td>\n \n Journal of Laryngology and Otology (UK)\n \n </td>\n <td>\n \n 8.0\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 58.5\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 323\n \n </td>\n <td>\n \n 0.5\n \n </td>\n <td>\n \n 21\n \n </td>\n <td>\n \n -\n \n </td>\n </tr>\n <tr>\n <td>\n \n Journal of the American College of Surgeons\n \n </td>\n <td>\n 7.2\n </td>\n <td>\n 15.8\n </td>\n <td>\n 1.5\n </td>\n <td>\n 0.8\n </td>\n <td>\n 4.9\n </td>\n <td>\n 17\n </td>\n <td>\n 2.4\n </td>\n <td>\n 9\n </td>\n <td>\n 16\n </td>\n </tr>\n <tr>\n <td>\n \n \n Acta Oto-Laryngologica\n \n \n </td>\n <td>\n \n 6.3\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 42.2\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 80\n \n </td>\n <td>\n \n 0.8\n \n </td>\n <td>\n \n 17\n \n </td>\n <td>\n \n -\n \n </td>\n </tr>\n <tr>\n <td>\n European Journal of Vascular and Endovascular Surgery (UK)\n </td>\n <td>\n 6.1\n </td>\n <td>\n 8.2\n </td>\n <td>\n 0.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n 56.9\n </td>\n <td>\n 0\n </td>\n <td>\n 1.5\n </td>\n <td>\n 11\n </td>\n <td>\n 40\n </td>\n </tr>\n <tr>\n <td>\n \n European Journal of Surgical Oncology (UK)\n \n </td>\n <td>\n \n 5.0\n \n </td>\n <td>\n \n 12.7\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 2.0\n \n </td>\n <td>\n \n 2\n \n </td>\n <td>\n \n 1.3\n \n </td>\n <td>\n \n 14\n \n </td>\n <td>\n \n 45\n \n </td>\n </tr>\n <tr>\n <td>\n Colorectal Disease (UK)\n </td>\n <td>\n 4.6\n </td>\n <td>\n 11.9\n </td>\n <td>\n 0.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n N/A\n </td>\n <td>\n N/A\n </td>\n <td>\n N/A\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n Laryngoscope\n \n </td>\n <td>\n \n 4.0\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 28.1\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 18\n \n </td>\n <td>\n \n 1.4\n \n </td>\n <td>\n \n 12\n \n </td>\n <td>\n \n -\n \n </td>\n </tr>\n <tr>\n <td>\n Archives of Otolaryngology – Head and Neck Surgery\n </td>\n <td>\n 2.2\n </td>\n <td>\n 0.0\n </td>\n <td>\n 15.6\n </td>\n <td>\n 0.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n 25\n </td>\n <td>\n 1.1\n </td>\n <td>\n 16\n </td>\n <td>\n 52\n </td>\n </tr>\n <tr>\n <td>\n \n \n Journal of Endovascular Therapy (Journal of Endovascular Surgery)\n \n \n </td>\n <td>\n \n 2.2\n \n </td>\n <td>\n \n 1.7\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 20.6\n \n </td>\n <td>\n \n 8\n \n </td>\n <td>\n \n 2.1\n \n </td>\n <td>\n \n 10\n \n </td>\n <td>\n \n 26\n \n </td>\n </tr>\n <tr>\n <td>\n Otology & Neurotology (American Journal of Otology)\n </td>\n <td>\n 1.4\n </td>\n <td>\n 0.0\n </td>\n <td>\n 10.4\n </td>\n <td>\n 0.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n 56\n </td>\n <td>\n 1.2\n </td>\n <td>\n 15\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n Phlebology (UK)\n \n </td>\n <td>\n \n 1.4\n \n </td>\n <td>\n \n 2.8\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 0.0\n \n </td>\n <td>\n \n 12.7\n \n </td>\n <td>\n \n 64\n \n </td>\n <td>\n \n 0.5\n \n </td>\n <td>\n \n 21\n \n </td>\n <td>\n \n 114\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 International designation\n \n </td>\n <td>\n \n Former designation (London)\n \n </td>\n <td colspan=\"2\">\n \n 1996–2000 period\n \n </td>\n <td colspan=\"2\">\n \n 2001–2005 period\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n Total strains\n \n </td>\n <td>\n \n %\n \n </td>\n <td>\n \n Total strains\n \n </td>\n <td>\n \n %\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Sankt-Peterburg\n </td>\n <td>\n D1\n </td>\n <td>\n 63\n </td>\n <td>\n 24.3\n </td>\n <td>\n 4\n </td>\n <td>\n 2.3\n </td>\n </tr>\n <tr>\n <td>\n Rossija\n </td>\n <td>\n D4\n </td>\n <td>\n 65\n </td>\n <td>\n 25.1\n </td>\n <td>\n 85\n </td>\n <td>\n 49.1\n </td>\n </tr>\n <tr>\n <td>\n Rossija derivation\n </td>\n <td>\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 8\n </td>\n <td>\n 4.6\n </td>\n </tr>\n <tr>\n <td>\n Otchakov\n </td>\n <td>\n D7\n </td>\n <td>\n 18\n </td>\n <td>\n 6.9\n </td>\n <td>\n 19\n </td>\n <td>\n 11.0\n </td>\n </tr>\n <tr>\n <td>\n Lyon\n </td>\n <td>\n D6\n </td>\n <td>\n 11\n </td>\n <td>\n 4.2\n </td>\n <td>\n 3\n </td>\n <td>\n 1.7\n </td>\n </tr>\n <tr>\n <td>\n Bangladesh\n </td>\n <td>\n D36\n </td>\n <td>\n 2\n </td>\n <td>\n 0.8\n </td>\n <td>\n 1\n </td>\n <td>\n 0.6\n </td>\n </tr>\n <tr>\n <td>\n Erlabrunn\n </td>\n <td>\n D15\n </td>\n <td>\n 2\n </td>\n <td>\n 0.8\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Schwarzenberg\n </td>\n <td>\n D13\n </td>\n <td>\n 2\n </td>\n <td>\n 0.8\n </td>\n <td>\n 1\n </td>\n <td>\n 0.6\n </td>\n </tr>\n <tr>\n <td>\n Moskva\n </td>\n <td>\n </td>\n <td>\n 44\n </td>\n <td>\n 16.9\n </td>\n <td>\n 8\n </td>\n <td>\n 4.6\n </td>\n </tr>\n <tr>\n <td>\n Cluj\n </td>\n <td>\n D10\n </td>\n <td>\n 34\n </td>\n <td>\n 13.1\n </td>\n <td>\n 36\n </td>\n <td>\n 20.8\n </td>\n </tr>\n <tr>\n <td>\n Minsk\n </td>\n <td>\n D30\n </td>\n <td>\n 1\n </td>\n <td>\n 0.4\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Gomel\n </td>\n <td>\n </td>\n <td>\n 1\n </td>\n <td>\n 0.4\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Ras-el-Ma\n </td>\n <td>\n </td>\n <td>\n 2\n </td>\n <td>\n 0.8\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Thailand\n </td>\n <td>\n D19\n </td>\n <td>\n 1\n </td>\n <td>\n 0.4\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Prahova\n </td>\n <td>\n D17\n </td>\n <td>\n 1\n </td>\n <td>\n 0.4\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Dagestan\n </td>\n <td>\n D9\n </td>\n <td>\n 1\n </td>\n <td>\n 0.4\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Gatchina\n </td>\n <td>\n D5\n </td>\n <td>\n 1\n </td>\n <td>\n 0.4\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Buzau\n </td>\n <td>\n </td>\n <td>\n 1\n </td>\n <td>\n 0.4\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Close to Nan\n </td>\n <td>\n D63\n </td>\n <td>\n 2\n </td>\n <td>\n 0.8\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Close to Pakistan\n </td>\n <td>\n D12/D31\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 2\n </td>\n <td>\n 1.2\n </td>\n </tr>\n <tr>\n <td>\n Close to Versailles\n </td>\n <td>\n D44/54/55\n </td>\n <td>\n 1\n </td>\n <td>\n 0.4\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Neamt\n </td>\n <td>\n D22\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 1\n </td>\n <td>\n 0.6\n </td>\n </tr>\n <tr>\n <td>\n New 1–11\n </td>\n <td>\n </td>\n <td>\n 6\n </td>\n <td>\n 2.3\n </td>\n <td>\n 5\n </td>\n <td>\n 2.9\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n </td>\n <td>\n 259\n </td>\n <td>\n 100.0\n </td>\n <td>\n 173\n </td>\n <td>\n 100.0\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 colspan=\"5\">\n \n Area under the ROC curve\n \n </td>\n </tr>\n <tr>\n <td>\n \n DAYS of BSI\n \n </td>\n <td>\n \n -2\n \n </td>\n <td>\n \n -1\n \n </td>\n <td>\n \n 0\n \n </td>\n <td>\n \n 1\n \n </td>\n <td>\n \n 2\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n APACHE II\n \n </td>\n <td>\n 0.741\n </td>\n <td>\n 0.821\n </td>\n <td>\n 0.793\n </td>\n <td>\n 0.804\n </td>\n <td>\n 0.787\n </td>\n </tr>\n <tr>\n <td>\n \n SAPS II\n \n </td>\n <td>\n 0.777\n </td>\n <td>\n 0.809\n </td>\n <td>\n 0.793\n </td>\n <td>\n 0.785\n </td>\n <td>\n 0.783\n </td>\n </tr>\n <tr>\n <td>\n \n SOFA\n \n </td>\n <td>\n 0.718\n </td>\n <td>\n 0.762\n </td>\n <td>\n 0.743\n </td>\n <td>\n 0.806\n </td>\n <td>\n 0.783\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 age (range)\n \n </td>\n <td>\n \n Sex\n <sup>\n b\n </sup>\n (n)\n \n </td>\n <td>\n \n Location (n)\n \n </td>\n <td>\n \n Dukes' stage (n)\n \n </td>\n <td>\n \n Differentiation\n <sup>\n a\n </sup>\n (n)\n \n </td>\n <td>\n \n V/L\n <sup>\n c\n </sup>\n (n)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Colon\n </td>\n <td>\n 64.0 (48–81)\n </td>\n <td>\n m (7)\n </td>\n <td>\n Caecum (5)\n </td>\n <td>\n B (4)\n </td>\n <td>\n moder. diff (8)\n </td>\n <td>\n +/+ (12)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n Sigmoid (5)\n </td>\n <td>\n C (7)\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 f (5)\n </td>\n <td>\n Transverse (2)\n </td>\n <td>\n D (1)\n </td>\n <td>\n poorly diff (4)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Rectum\n </td>\n <td>\n 68.2 (53–76)\n </td>\n <td>\n m (7)\n </td>\n <td>\n (10)\n </td>\n <td>\n A (2)\n </td>\n <td>\n moder. diff (10)\n </td>\n <td>\n +/+ (10)\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 B (4)\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 f (3)\n </td>\n <td>\n </td>\n <td>\n C (4)\n </td>\n <td>\n poorly diff (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 </td>\n <td>\n \n B/C\n \n </td>\n <td>\n \n C/S\n \n </td>\n <td>\n \n D/Z\n \n </td>\n <td>\n \n F/C\n \n </td>\n <td>\n \n S/M\n \n </td>\n <td>\n \n T/F\n \n </td>\n <td>\n \n Y/F\n \n </td>\n <td>\n \n Average ± SD\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Number of loci\n \n </td>\n <td>\n 696\n </td>\n <td>\n 814\n </td>\n <td>\n 531\n </td>\n <td>\n 552\n </td>\n <td>\n 1,232\n </td>\n <td>\n 394\n </td>\n <td>\n 472\n </td>\n <td>\n 670 ± 285\n </td>\n </tr>\n <tr>\n <td>\n \n Number of bins\n \n <sup>\n b\n </sup>\n </td>\n <td>\n 289\n </td>\n <td>\n 357\n </td>\n <td>\n 242\n </td>\n <td>\n 309\n </td>\n <td>\n 508\n </td>\n <td>\n 185\n </td>\n <td>\n 262\n </td>\n <td>\n 307 ± 104\n </td>\n </tr>\n <tr>\n <td>\n \n Inter-bin distance (cM)\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 Average\n \n </td>\n <td>\n 3.4 ± 3.8\n </td>\n <td>\n 3.1 ± 3.4\n </td>\n <td>\n 4.1 ± 4.2\n </td>\n <td>\n 2.7 ± 4.7\n </td>\n <td>\n 2.2 ± 2.7\n </td>\n <td>\n 5.4 ± 6.6\n </td>\n <td>\n 4.2 ± 5.6\n </td>\n <td>\n 3.6 ± 1.1\n </td>\n </tr>\n <tr>\n <td>\n \n Median\n \n </td>\n <td>\n 2.1\n </td>\n <td>\n 2.0\n </td>\n <td>\n 2.7\n </td>\n <td>\n 1.0\n </td>\n <td>\n 1.2\n </td>\n <td>\n 3.2\n </td>\n <td>\n 1.5\n </td>\n <td>\n 2.0 ± 0.8\n </td>\n </tr>\n <tr>\n <td>\n \n Map length (cM)\n \n </td>\n <td>\n 964\n </td>\n <td>\n 1,073\n </td>\n <td>\n 967\n </td>\n <td>\n 1,066\n </td>\n <td>\n 1,093\n </td>\n <td>\n 970\n </td>\n <td>\n 1,072\n </td>\n <td>\n 1,031 ± 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 \n Species Compared\n \n </td>\n <td>\n \n \n V. vulnificus\n \n \n </td>\n <td>\n \n \n V. parahaemolyticus\n \n \n </td>\n <td>\n \n \n V. cholerae\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n V. vulnificus\n \n </td>\n <td>\n 0.000000\n </td>\n <td>\n 0.034524\n </td>\n <td>\n 0.050261\n </td>\n </tr>\n <tr>\n <td>\n \n V. parahaemolyticus\n \n </td>\n <td>\n 0.034524\n </td>\n <td>\n 0.000000\n </td>\n <td>\n 0.076739\n </td>\n </tr>\n <tr>\n <td>\n \n V. cholerae\n \n </td>\n <td>\n 0.050261\n </td>\n <td>\n 0.076739\n </td>\n <td>\n 0.000000\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 Strategy\n \n </td>\n <td>\n \n Highly vulnerable\n \n </td>\n <td>\n \n Vulnerable\n \n </td>\n <td>\n \n Least vulnerable\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Borrowing\n </td>\n <td>\n Rarely borrowed cash because they were not creditworthy (too poor to pay back); fear of borrowing and being unable to pay back leading to bad reputation & gossip\n </td>\n <td>\n A common strategy because they had moderate assets but still not enough to rely more on other sources of credit like shops or private providers\n </td>\n <td>\n Not common because they had other sources of credit but they could easily borrow if need arose.\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Amount of money borrowed was small (KES 10) because their friends were equally poor\n </td>\n <td>\n Could borrow up to KES 100–200\n </td>\n <td>\n Could easily borrow KES 5000 if need be because their friends were in a good economic situation\n </td>\n </tr>\n <tr>\n <td>\n Credit from private providers\n </td>\n <td>\n Not accessible by these households due to poverty\n </td>\n <td>\n Could get treatment on credit but limited amounts depending on providers understanding of their economic status\n </td>\n <td>\n Unlimited access to credit from providers because they were wealth, had permanent jobs & could easily pay by end of the month\n </td>\n </tr>\n <tr>\n <td>\n Credit from shops\n </td>\n <td>\n Occasionally but small amounts to buy drugs\n </td>\n <td>\n Had access to credit but could be denied when they asked for large amounts\n </td>\n <td>\n Could acquire all goods on credit until end of the month\n </td>\n </tr>\n <tr>\n <td>\n Sale of assets (Goats & chickens)\n </td>\n <td>\n Those that had assets sold them to pay for treatment or other needs but some had nothing to sell\n </td>\n <td>\n Sold assets but usually to clear a debt at private providers.\n </td>\n <td>\n Assets not sold to pay for treatment because there were other 'better' options\n </td>\n </tr>\n <tr>\n <td>\n Sale of labor on farms\n </td>\n <td>\n Preferred but not used due to drought\n </td>\n <td>\n A possibility but drought limited its use\n </td>\n <td>\n Unlikely for these households to use the strategy\n </td>\n </tr>\n <tr>\n <td>\n Borrowing drugs\n </td>\n <td>\n Preferred because they had no access to cash and were not required to pay back drugs\n </td>\n <td>\n Not reported\n </td>\n <td>\n Not reported\n </td>\n </tr>\n <tr>\n <td>\n Sharing drugs\n </td>\n <td>\n A common strategy when drugs are borrowed or bought\n </td>\n <td>\n Common for households with many children\n </td>\n <td>\n Reported when more than one child fell ill at the same time\n </td>\n </tr>\n <tr>\n <td>\n Ignoring illness\n </td>\n <td>\n A common strategy because they rarely had cash and access to other strategies was limited\n </td>\n <td>\n Reported on two occasions because illnesses not perceived serious enough\n </td>\n <td>\n Not reported\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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<tr>\n <td>\n argR\n </td>\n <td>\n 8\n </td>\n <td>\n 18\n </td>\n <td>\n 1.2990\n </td>\n <td>\n 1.2149\n </td>\n <td>\n 1.30 × 10\n <sup>\n -7\n </sup>\n </td>\n <td>\n 0.2857\n </td>\n <td>\n 0.50\n </td>\n </tr>\n <tr>\n <td>\n cpxR\n </td>\n <td>\n 7\n </td>\n <td>\n 15\n </td>\n <td>\n 1.3290\n </td>\n <td>\n 1.2337\n </td>\n <td>\n 1.09 × 10\n <sup>\n -5\n </sup>\n </td>\n <td>\n 0.5556\n </td>\n <td>\n 0.71\n </td>\n </tr>\n <tr>\n <td>\n crp*†\n </td>\n <td>\n 33\n </td>\n <td>\n 18\n </td>\n <td>\n 0.7196\n </td>\n <td>\n 0.7045\n </td>\n <td>\n 3.08 × 10\n <sup>\n -9\n </sup>\n </td>\n <td>\n 0.5570\n </td>\n <td>\n 0.76\n </td>\n </tr>\n <tr>\n <td>\n cytR\n </td>\n <td>\n 5\n </td>\n <td>\n 18\n </td>\n <td>\n 1.2317\n </td>\n <td>\n 1.1069\n </td>\n <td>\n 2.48 × 10\n <sup>\n -1\n </sup>\n </td>\n <td>\n 0.0588\n </td>\n <td>\n 0.20\n </td>\n </tr>\n <tr>\n <td>\n dnaA\n </td>\n <td>\n 6\n </td>\n <td>\n 15\n </td>\n <td>\n 1.4535\n </td>\n <td>\n 1.3300\n </td>\n <td>\n 6.12 × 10\n <sup>\n -6\n </sup>\n </td>\n <td>\n 1.0000\n </td>\n <td>\n 1.00\n </td>\n </tr>\n <tr>\n <td>\n fadR\n </td>\n <td>\n 5\n </td>\n <td>\n 17\n </td>\n <td>\n 1.3466\n </td>\n <td>\n 1.2074\n </td>\n <td>\n 1.33 × 10\n <sup>\n -2\n </sup>\n </td>\n <td>\n 0.5455\n </td>\n <td>\n 0.80\n </td>\n </tr>\n <tr>\n <td>\n fis*\n </td>\n <td>\n 8\n </td>\n <td>\n 35\n </td>\n <td>\n 0.8927\n </td>\n <td>\n 0.8376\n </td>\n <td>\n 1.37 × 10\n <sup>\n -6\n </sup>\n </td>\n <td>\n 0.1966\n </td>\n <td>\n 0.38\n </td>\n </tr>\n <tr>\n <td>\n flhCD\n </td>\n <td>\n 3\n </td>\n <td>\n 31\n </td>\n <td>\n 1.3942\n </td>\n <td>\n 1.1656\n </td>\n <td>\n 4.79 × 10\n <sup>\n -3\n </sup>\n </td>\n <td>\n 0.0000\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n fnr\n </td>\n <td>\n 10\n </td>\n <td>\n 22\n </td>\n <td>\n 1.1025\n </td>\n <td>\n 1.0476\n </td>\n <td>\n 1.85 × 10\n <sup>\n -9\n </sup>\n </td>\n <td>\n 0.6176\n </td>\n <td>\n 0.80\n </td>\n </tr>\n <tr>\n <td>\n fruR\n </td>\n <td>\n 10\n </td>\n <td>\n 16\n </td>\n <td>\n 1.2094\n </td>\n <td>\n 1.1491\n </td>\n <td>\n 5.52 × 10\n <sup>\n -8\n </sup>\n </td>\n <td>\n 0.8182\n </td>\n <td>\n 0.90\n </td>\n </tr>\n <tr>\n <td>\n fur\n </td>\n <td>\n 7\n </td>\n <td>\n 18\n </td>\n <td>\n 1.3285\n </td>\n <td>\n 1.2332\n </td>\n <td>\n 1.28 × 10\n <sup>\n -8\n </sup>\n </td>\n <td>\n 0.4237\n </td>\n <td>\n 0.71\n </td>\n </tr>\n <tr>\n <td>\n galR\n </td>\n <td>\n 7\n </td>\n <td>\n 16\n </td>\n <td>\n 1.5445\n </td>\n <td>\n 1.4347\n </td>\n <td>\n 1.52 × 10\n <sup>\n -16\n </sup>\n </td>\n <td>\n 0.5034\n </td>\n <td>\n 0.71\n </td>\n </tr>\n <tr>\n <td>\n glpR\n </td>\n <td>\n 4\n </td>\n <td>\n 20\n </td>\n <td>\n 1.4227\n </td>\n <td>\n 1.2441\n </td>\n <td>\n 2.63 × 10\n <sup>\n -2\n </sup>\n </td>\n <td>\n 0.5534\n </td>\n <td>\n 0.75\n </td>\n </tr>\n <tr>\n <td>\n hns\n </td>\n <td>\n 5\n </td>\n <td>\n 11\n </td>\n <td>\n 1.5175\n </td>\n <td>\n 1.3660\n </td>\n <td>\n 2.25\n </td>\n <td>\n 0.0000\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n ihf*\n </td>\n <td>\n 19\n </td>\n <td>\n 48\n </td>\n <td>\n 0.3932\n </td>\n <td>\n 0.3859\n </td>\n <td>\n 2.26 × 10\n <sup>\n +8\n </sup>\n </td>\n <td>\n 0.0381\n </td>\n <td>\n 0.16\n </td>\n </tr>\n <tr>\n <td>\n lexA\n </td>\n <td>\n 17\n </td>\n <td>\n 20\n </td>\n <td>\n 1.1481\n </td>\n <td>\n 1.1192\n </td>\n <td>\n 1.01 × 10\n <sup>\n -40\n </sup>\n </td>\n <td>\n 0.7215\n </td>\n <td>\n 0.88\n </td>\n </tr>\n <tr>\n <td>\n lrp\n </td>\n <td>\n 4\n </td>\n <td>\n 25\n </td>\n <td>\n 1.2879\n </td>\n <td>\n 1.1237\n </td>\n <td>\n 6.44 × 10\n <sup>\n -2\n </sup>\n </td>\n <td>\n 0.0989\n </td>\n <td>\n 0.25\n </td>\n </tr>\n <tr>\n <td>\n malT\n </td>\n <td>\n 6\n </td>\n <td>\n 10\n </td>\n <td>\n 1.5071\n </td>\n <td>\n 1.3815\n </td>\n <td>\n 1.73 × 10\n <sup>\n -1\n </sup>\n </td>\n <td>\n 0.0000\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n metJ\n </td>\n <td>\n 5\n </td>\n <td>\n 16\n </td>\n <td>\n 1.6842\n </td>\n <td>\n 1.5195\n </td>\n <td>\n 3.37 × 10\n <sup>\n -12\n </sup>\n </td>\n <td>\n 0.6495\n </td>\n <td>\n 1.00\n </td>\n </tr>\n <tr>\n <td>\n metR\n </td>\n <td>\n 6\n </td>\n <td>\n 15\n </td>\n <td>\n 1.3097\n </td>\n <td>\n 1.1970\n </td>\n <td>\n 6.57 × 10\n <sup>\n -2\n </sup>\n </td>\n <td>\n 0.0000\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n modE\n </td>\n <td>\n 3\n </td>\n <td>\n 24\n </td>\n <td>\n 1.5618\n </td>\n <td>\n 1.3145\n </td>\n <td>\n 3.95 × 10\n <sup>\n -4\n </sup>\n </td>\n <td>\n 1.0000\n </td>\n <td>\n 1.00\n </td>\n </tr>\n <tr>\n <td>\n nagC\n </td>\n <td>\n 5\n </td>\n <td>\n 23\n </td>\n <td>\n 1.2795\n </td>\n <td>\n 1.1462\n </td>\n <td>\n 1.03 × 10\n <sup>\n -3\n </sup>\n </td>\n <td>\n 0.0360\n </td>\n <td>\n 0.20\n </td>\n </tr>\n <tr>\n <td>\n narL\n </td>\n <td>\n 10\n </td>\n <td>\n 16\n </td>\n <td>\n 1.1391\n </td>\n <td>\n 1.0828\n </td>\n <td>\n 8.06 × 10\n <sup>\n -4\n </sup>\n </td>\n <td>\n 0.8182\n </td>\n <td>\n 0.90\n </td>\n </tr>\n <tr>\n <td>\n narP\n </td>\n <td>\n 4\n </td>\n <td>\n 16\n </td>\n <td>\n 1.4534\n </td>\n <td>\n 1.2737\n </td>\n <td>\n 7.48 × 10\n <sup>\n -4\n </sup>\n </td>\n <td>\n 0.0000\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n ntrC\n </td>\n <td>\n 4\n </td>\n <td>\n 17\n </td>\n <td>\n 1.6621\n </td>\n <td>\n 1.4605\n </td>\n <td>\n 1.28 × 10\n <sup>\n -8\n </sup>\n </td>\n <td>\n 0.6386\n </td>\n <td>\n 1.00\n </td>\n </tr>\n <tr>\n <td>\n ompR\n </td>\n <td>\n 4\n </td>\n <td>\n 20\n </td>\n <td>\n 1.3566\n </td>\n <td>\n 1.1860\n </td>\n <td>\n 4.27 × 10\n <sup>\n -6\n </sup>\n </td>\n <td>\n 0.0000\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n oxyR\n </td>\n <td>\n 4\n </td>\n <td>\n 39\n </td>\n <td>\n 1.0965\n </td>\n <td>\n 0.9521\n </td>\n <td>\n 2.64\n </td>\n <td>\n 0.0796\n </td>\n <td>\n 0.25\n </td>\n </tr>\n <tr>\n <td>\n phoB\n </td>\n <td>\n 8\n </td>\n <td>\n 22\n </td>\n <td>\n 1.1567\n </td>\n <td>\n 1.0835\n </td>\n <td>\n 4.14 × 10\n <sup>\n -9\n </sup>\n </td>\n <td>\n 0.8051\n </td>\n <td>\n 1.00\n </td>\n </tr>\n <tr>\n <td>\n purR\n </td>\n <td>\n 20\n </td>\n <td>\n 26\n </td>\n <td>\n 0.8305\n </td>\n <td>\n 0.8147\n </td>\n <td>\n 1.53 × 10\n <sup>\n -37\n </sup>\n </td>\n <td>\n 0.7247\n </td>\n <td>\n 0.95\n </td>\n </tr>\n <tr>\n <td>\n soxS*†\n </td>\n <td>\n 11\n </td>\n <td>\n 35\n </td>\n <td>\n 0.7771\n </td>\n <td>\n 0.7453\n </td>\n <td>\n 1.26 × 10\n <sup>\n -9\n </sup>\n </td>\n <td>\n 0.0815\n </td>\n <td>\n 0.27\n </td>\n </tr>\n <tr>\n <td>\n trpR\n </td>\n <td>\n 4\n </td>\n <td>\n 24\n </td>\n <td>\n 1.4069\n </td>\n <td>\n 1.2291\n </td>\n <td>\n 3.74 × 10\n <sup>\n -6\n </sup>\n </td>\n <td>\n 0.8462\n </td>\n <td>\n 1.00\n </td>\n </tr>\n <tr>\n <td>\n tus\n </td>\n <td>\n 5\n </td>\n <td>\n 23\n </td>\n <td>\n 1.5839\n </td>\n <td>\n 1.4276\n </td>\n <td>\n 1.05 × 10\n <sup>\n -17\n </sup>\n </td>\n <td>\n 0.8400\n </td>\n <td>\n 1.00\n </td>\n </tr>\n <tr>\n <td>\n tyrR\n </td>\n <td>\n 10\n </td>\n <td>\n 22\n </td>\n <td>\n 1.0693\n </td>\n <td>\n 1.0159\n </td>\n <td>\n 3.63 × 10\n <sup>\n -9\n </sup>\n </td>\n <td>\n 0.5017\n </td>\n <td>\n 0.70\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 D. simulans\n \n \n </td>\n <td>\n \n \n D. yakuba\n \n \n </td>\n <td>\n \n \n D. erecta\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n CS\n </td>\n <td>\n 2\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n CE\n </td>\n <td>\n 1\n </td>\n <td>\n 4\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n MS\n </td>\n <td>\n 10,1\n </td>\n <td>\n 9,0\n </td>\n <td>\n 11,0\n </td>\n </tr>\n <tr>\n <td>\n IR\n </td>\n <td>\n 8,0\n </td>\n <td>\n 16,2\n </td>\n <td>\n 20,3\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 Data set\n \n </td>\n <td>\n \n Number of genes\n \n </td>\n <td>\n \n Number per class\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Colon cancer [11] http://microarray.princeton.edu/oncology\n </td>\n <td>\n 2000\n </td>\n <td>\n 22 normal40 tumor\n </td>\n </tr>\n <tr>\n <td>\n Leukemia [12] http://www.broad.mit.edu/cgi-bin/cancer/datasets.cgi\n </td>\n <td>\n 7219\n </td>\n <td>\n 47 acute lymphoblastic leukemia45 acute myeloid leukemia\n </td>\n </tr>\n <tr>\n <td>\n Medulloblastoma [13] http://www.broad.mit.edu/cgi-bin/cancer/datasets.cgi\n </td>\n <td>\n 7129\n </td>\n <td>\n 39 survivors over two years21 deaths over two years\n </td>\n </tr>\n <tr>\n <td>\n Breast cancer [14] http://data.cgt.duke.edu/west.php\n </td>\n <td>\n 7129\n </td>\n <td>\n 25 estrogen receptor positive24 estrogen receptor negative\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 Beetle species\n \n </td>\n <td>\n \n No. of individuals\n \n </td>\n <td>\n </td>\n <td>\n \n \n Pristionchus\n \n species\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 </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n P. aerivorus\n \n </td>\n <td>\n \n P. pseudaerivorus\n \n </td>\n <td>\n \n P. marianneae\n \n </td>\n <td>\n \n P. pauli\n \n </td>\n <td>\n \n P. uniformis\n \n </td>\n <td>\n \n P. pacificus\n \n </td>\n <td>\n \n P. entomophagus\n \n </td>\n <td>\n \n P. americanus\n \n </td>\n </tr>\n <tr>\n <td>\n Scarabaeidae:\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 \n Phyllophaga\n \n spp.\n </td>\n <td>\n 621\n </td>\n <td>\n 57 (9.2%)\n </td>\n <td>\n 46 (7.4%)\n </td>\n <td>\n 25 (4%)\n </td>\n <td>\n 1(0.2%)\n </td>\n <td>\n -\n </td>\n <td>\n 1 (0.2%)\n </td>\n <td>\n 2 (0.4%)\n </td>\n <td>\n 1(0.2%)\n </td>\n </tr>\n <tr>\n <td>\n \n Popilia japonica\n \n </td>\n <td>\n 136\n </td>\n <td>\n 15 (11%)\n </td>\n <td>\n 1 (0.7%)\n </td>\n <td>\n 18 (13.2%)\n </td>\n <td>\n 1 (0.7%)\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 \n Cyclocephala lurida\n \n </td>\n <td>\n 49\n </td>\n <td>\n 5 (10.2)\n </td>\n <td>\n 23 (46.9%)\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 1 (2%)\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n A. solstitiale\n \n </td>\n <td>\n 8\n </td>\n <td>\n 3 (37.5%)\n </td>\n <td>\n -\n </td>\n <td>\n 1 (12.5%)\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 \n Polyphylla variolosa\n \n </td>\n <td>\n 6\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 2 (33%)\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 2(33%)\n </td>\n </tr>\n <tr>\n <td>\n \n Maladera castanea\n \n </td>\n <td>\n 62\n </td>\n <td>\n 3 (4.8%)\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 <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n Diplotaxis\n \n spp.\n </td>\n <td>\n 25\n </td>\n <td>\n -\n </td>\n <td>\n 1 (4%)\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 <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n Serica sericea\n \n </td>\n <td>\n 74\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 1 (1.4%)\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 \n Lichnanthe vulpina\n \n </td>\n <td>\n 60\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 22 (36.7%)\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 \n Hoplia equina\n \n </td>\n <td>\n 11\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 9 (81.9%)\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 \n Anomala orientalis\n \n </td>\n <td>\n 50\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 <td>\n 1 (2%)\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n Aphodius\n \n spp.\n </td>\n <td>\n 82\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 <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n Onthophagus\n \n spp.\n </td>\n <td>\n 6\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 <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n Ateuchus histeroides\n \n </td>\n <td>\n 6\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 <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Chrysomelidae:\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 \n L. decemlineata\n \n </td>\n <td>\n 110\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 42 (38.2%)\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Hydrophilidae:\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 \n Hydrophilus\n \n spp.\n </td>\n <td>\n 39\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 <td>\n -\n </td>\n <td>\n -\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 </td>\n <td>\n \n Overall\n \n </td>\n <td>\n \n Eating\n \n </td>\n <td>\n \n Speaking\n \n </td>\n <td>\n \n Cleaning\n \n </td>\n <td>\n \n Sleeping\n \n </td>\n <td>\n \n Smiling\n \n </td>\n <td>\n \n Emotion\n \n </td>\n <td>\n \n Work\n \n </td>\n <td>\n \n Contact\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n (n = 512)\n \n </td>\n <td>\n \n (n = 519)\n \n </td>\n <td>\n \n (n = 514)\n \n </td>\n <td>\n \n (n = 520)\n \n </td>\n <td>\n \n (n = 519)\n \n </td>\n <td>\n \n (n = 520)\n \n </td>\n <td>\n \n (n = 520)\n \n </td>\n <td>\n \n (n = 520)\n \n </td>\n <td>\n \n (n = 520)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n OIDP prevalence %\n </td>\n <td>\n 62.1\n </td>\n <td>\n 55.1\n </td>\n <td>\n 20.8\n </td>\n <td>\n 30.6\n </td>\n <td>\n 27.0\n </td>\n <td>\n 15.6\n </td>\n <td>\n 30.4\n </td>\n <td>\n 22.5\n </td>\n <td>\n 21.7\n </td>\n </tr>\n <tr>\n <td colspan=\"10\">\n OIDP impact score:\n </td>\n </tr>\n <tr>\n <td>\n \n Range\n \n </td>\n <td>\n 0–72\n </td>\n <td>\n 0–9\n </td>\n <td>\n 0–9\n </td>\n <td>\n 0–9\n </td>\n <td>\n 0–9\n </td>\n <td>\n 0–9\n </td>\n <td>\n 0–9\n </td>\n <td>\n 0–9\n </td>\n <td>\n 0–9\n </td>\n </tr>\n <tr>\n <td>\n \n Mean (sd)\n \n </td>\n <td>\n 9.1 (13.3)\n </td>\n <td>\n 2.1 (2.6)\n </td>\n <td>\n 0.9 (1.9)\n </td>\n <td>\n 1.3 (2.3)\n </td>\n <td>\n 1.1 (2.1)\n </td>\n <td>\n 0.6 (1.7)\n </td>\n <td>\n 1.2 (2.2)\n </td>\n <td>\n 0.9 (1.9)\n </td>\n <td>\n 0.9 (1.9)\n </td>\n </tr>\n <tr>\n <td colspan=\"10\">\n Impact intensity\n <sup>\n a\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n \n Very little\n \n </td>\n <td>\n 11.9\n </td>\n <td>\n 18.1\n </td>\n <td>\n 11.2\n </td>\n <td>\n 12.6\n </td>\n <td>\n 7.9\n </td>\n <td>\n 11.1\n </td>\n <td>\n 14.6\n </td>\n <td>\n 7.7\n </td>\n <td>\n 7.1\n </td>\n </tr>\n <tr>\n <td>\n \n Little\n \n </td>\n <td>\n 15.8\n </td>\n <td>\n 18.4\n </td>\n <td>\n 12.1\n </td>\n <td>\n 13.8\n </td>\n <td>\n 17.1\n </td>\n <td>\n 13.6\n </td>\n <td>\n 19.6\n </td>\n <td>\n 21.4\n </td>\n <td>\n 21.2\n </td>\n </tr>\n <tr>\n <td>\n \n Moderate\n \n </td>\n <td>\n 60.7\n </td>\n <td>\n 32.6\n </td>\n <td>\n 40.2\n </td>\n <td>\n 35.8\n </td>\n <td>\n 50.0\n </td>\n <td>\n 50.6\n </td>\n <td>\n 36.7\n </td>\n <td>\n 47.9\n </td>\n <td>\n 43.4\n </td>\n </tr>\n <tr>\n <td>\n \n Severe\n \n </td>\n <td>\n 11.8\n </td>\n <td>\n 22.2\n </td>\n <td>\n 29.9\n </td>\n <td>\n 27.7\n </td>\n <td>\n 18.6\n </td>\n <td>\n 16.0\n </td>\n <td>\n 19.6\n </td>\n <td>\n 15.4\n </td>\n <td>\n 22.1\n </td>\n </tr>\n <tr>\n <td>\n \n Very severe\n \n </td>\n <td>\n 0.0\n </td>\n <td>\n 8.7\n </td>\n <td>\n 6.5\n </td>\n <td>\n 10.1\n </td>\n <td>\n 6.4\n </td>\n <td>\n 8.6\n </td>\n <td>\n 9.5\n </td>\n <td>\n 7.7\n </td>\n <td>\n 6.2\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 Experimental Group\n \n (rat number)\n \n \n </td>\n <td colspan=\"4\">\n \n PRAB\n \n </td>\n <td colspan=\"4\">\n \n PRB\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Immature\n \n \n (n = 6)\n \n </td>\n <td>\n LE\n </td>\n <td>\n GE\n </td>\n <td>\n Stroma\n </td>\n <td>\n Myomet\n </td>\n <td>\n LE\n </td>\n <td>\n GE\n </td>\n <td>\n Stroma\n </td>\n <td>\n Myomet\n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n +++\n </td>\n <td>\n 0\n </td>\n <td>\n +\n </td>\n <td>\n +\n </td>\n <td>\n +++\n </td>\n <td>\n 0\n </td>\n <td>\n +\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n 2 na\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 na\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 4\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 <td>\n ++\n </td>\n <td>\n +\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n 5 na\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 6\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 <td>\n ++\n </td>\n <td>\n +\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n \n NC\n \n \n (n = 6)\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 1 (metestrus)\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 lost\n </td>\n <td>\n lost\n </td>\n <td>\n lost\n </td>\n <td>\n lost\n </td>\n </tr>\n <tr>\n <td>\n 2 (proestrus)\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 <td>\n (+)\n </td>\n <td>\n (+)\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n 3 (metestrus)\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 <td>\n +\n </td>\n <td>\n +\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n 4 (late proest)\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 <td>\n -\n </td>\n <td>\n +\n </td>\n <td>\n +++\n </td>\n </tr>\n <tr>\n <td>\n 5 (diestrus)\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 <td>\n ++\n </td>\n <td>\n ++\n </td>\n <td>\n ++\n </td>\n </tr>\n <tr>\n <td>\n 6 (metestrus)\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 <td>\n +\n </td>\n <td>\n (+)\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n \n Pregnant day 8\n \n \n (n = 5)\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n Decidua\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n Decidua\n </td>\n </tr>\n <tr>\n <td>\n 1\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 <td>\n -\n </td>\n <td>\n (+)\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n 2\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 <td>\n -\n </td>\n <td>\n (+)\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n 3\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 <td>\n -\n </td>\n <td>\n (+)\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n 4\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 <td>\n -\n </td>\n <td>\n (+)\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n 5\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 <td>\n -\n </td>\n <td>\n (+)\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n \n Pregnant day 18\n \n \n (n = 5)\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n Placenta\n </td>\n <td>\n Decidua\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n Placenta\n </td>\n <td>\n Decidua\n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n -\n </td>\n <td>\n +++\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n -\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n -\n </td>\n <td>\n +++\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n -\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n -\n </td>\n <td>\n +++\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n -\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n -\n </td>\n <td>\n +++\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n -\n </td>\n <td>\n +\n </td>\n </tr>\n <tr>\n <td>\n 5\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n -\n </td>\n <td>\n +++\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n -\n </td>\n <td>\n +\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 \n Year\n \n </td>\n <td>\n \n Number of households in cluster area (% of total households)\n \n </td>\n <td>\n \n Number of malaria cases in cluster area (% of total malaria cases)\n \n </td>\n <td>\n \n Relative risk in cluster area (Log likelihood statistic, P-value)\n <sup>\n a\n </sup>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 2001\n </td>\n <td>\n 70 (12.4%)\n </td>\n <td>\n 56 (39.7%)\n </td>\n <td>\n 3.1 (LLR = 30.2, P < 0.001)\n </td>\n </tr>\n <tr>\n <td>\n 2002\n </td>\n <td>\n 105 (17.8%)\n </td>\n <td>\n 209 (49.3%)\n </td>\n <td>\n 2.6 (LLR = 108.1, P < 0.001)\n </td>\n </tr>\n <tr>\n <td>\n 2003\n </td>\n <td>\n 86 (14.1%)\n </td>\n <td>\n 90 (43.9%)\n </td>\n <td>\n 2.9 (LLR = 49.4, P < 0.001)\n </td>\n </tr>\n <tr>\n <td>\n 2004\n </td>\n <td>\n 54 (9.3%)\n </td>\n <td>\n 37 (29.3%)\n </td>\n <td>\n 3.0 (LLR = 19.4, P < 0.001)\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=\"3\">\n \n between\n \n </td>\n <td>\n \n within\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n number DEG\n </td>\n <td>\n number TP\n </td>\n <td>\n proportion TP among DE\n </td>\n <td>\n number DEG\n </td>\n </tr>\n <tr>\n <td>\n Choe data set:\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 BGX (\n \n P\n \n (\n \n d\n \n <sub>\n \n g\n \n </sub>\n < 0))\n </td>\n <td>\n \n 705\n \n (507,882)\n </td>\n <td>\n \n 674\n \n (499,826)\n </td>\n <td>\n \n 0.961\n \n (0.937,0.984)\n </td>\n <td>\n \n 4\n \n (0,8)\n </td>\n </tr>\n <tr>\n <td>\n BGX (Efron z-stat)\n </td>\n <td>\n \n 1161\n \n (786,1448)\n </td>\n <td>\n \n 862\n \n (738,949)\n </td>\n <td>\n \n 0.757\n \n (0.647,0.939)\n </td>\n <td>\n \n 512\n \n (185,830)\n </td>\n </tr>\n <tr>\n <td>\n EBarrays(RMA)\n </td>\n <td>\n \n 773\n \n (519,1006)\n </td>\n <td>\n \n 570\n \n (448,686)\n </td>\n <td>\n \n 0.754\n \n (0.574,0.863)\n </td>\n <td>\n \n 13\n \n (0,80)\n </td>\n </tr>\n <tr>\n <td>\n EBarrays(MAS5)\n </td>\n <td>\n \n 347\n \n (240,443)\n </td>\n <td>\n \n 2\n \n (1,4)\n </td>\n <td>\n \n 0.008\n \n (0.002,0.013)\n </td>\n <td>\n \n 742\n \n (266,1141)\n </td>\n </tr>\n <tr>\n <td>\n Wilcoxon\n </td>\n <td>\n \n 2940\n \n (2827,3019)\n </td>\n <td>\n \n 806\n \n (755,840)\n </td>\n <td>\n \n 0.274\n \n (0.267,0.278)\n </td>\n <td>\n \n 53\n \n (29,242)\n </td>\n </tr>\n <tr>\n <td>\n Affy data set:\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 BGX (\n \n P\n \n (\n \n d\n \n <sub>\n \n g\n \n </sub>\n < 0))\n </td>\n <td>\n \n 28\n \n (4,57)\n </td>\n <td>\n \n 13\n \n (6,25)\n </td>\n <td>\n \n 0.510\n \n (0.333,0.800)\n </td>\n <td>\n \n 2\n \n (0,14)\n </td>\n </tr>\n <tr>\n <td>\n BGX (Efron z-stat)\n </td>\n <td>\n \n 574\n \n (318,894)\n </td>\n <td>\n \n 26\n \n (23,28)\n </td>\n <td>\n \n 0.041\n \n (0.029,0.075)\n </td>\n <td>\n \n 736\n \n (365, 942)\n </td>\n </tr>\n <tr>\n <td>\n EBarrays(RMA)\n </td>\n <td>\n \n 69\n \n (40,100)\n </td>\n <td>\n \n 28\n \n (19,35)\n </td>\n <td>\n \n 0.423\n \n (0.310,0.542)\n </td>\n <td>\n \n 7\n \n (0,22)\n </td>\n </tr>\n <tr>\n <td>\n EBarrays(MAS5)\n </td>\n <td>\n \n 2831\n \n (2610,3134)\n </td>\n <td>\n \n 12\n \n (5,20)\n </td>\n <td>\n \n 0.004\n \n (0.002,0.007)\n </td>\n <td>\n \n 2888\n \n (2592,3115)\n </td>\n </tr>\n <tr>\n <td>\n Wilcoxon\n </td>\n <td>\n \n 114\n \n (75,167)\n </td>\n <td>\n \n 4\n \n (3,6)\n </td>\n <td>\n \n 0.031\n \n (0.018,0.057)\n </td>\n <td>\n \n 102\n \n (71,186)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
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