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 rowspan=\"2\">\n \n Indicator\n \n </td>\n <td>\n \n Intervention (\n \n n\n \n = 165)\n \n </td>\n <td>\n \n Control (\n \n n\n \n = 164)\n \n </td>\n <td rowspan=\"2\">\n \n \n p\n \n valuea\n \n </td>\n </tr>\n <tr>\n <td>\n \n \n n\n \n (%)\n \n </td>\n <td>\n \n \n n\n \n (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"4\">\n Initiation breastfeeding\n </td>\n </tr>\n <tr>\n <td>\n Initiated BF\n </td>\n <td>\n 147 (89.1)\n </td>\n <td>\n 127 (77.4)\n </td>\n <td>\n .005\n </td>\n </tr>\n <tr>\n <td>\n Received colostrum\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Yes\n </td>\n <td>\n 163 (98.8)\n </td>\n <td>\n 159 (96.9)\n </td>\n <td>\n .248\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n Prelacteal food given\n </td>\n </tr>\n <tr>\n <td>\n Yes\n </td>\n <td>\n 7 (4.2)\n </td>\n <td>\n 20 (12.2)\n </td>\n <td>\n .018\n </td>\n </tr>\n <tr>\n <td>\n Type of prelacteal food given\n </td>\n <td>\n Intervention (\n \n n\n \n = 7)\n </td>\n <td>\n Control (\n \n n\n \n = 20)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Honey/sugar water\n </td>\n <td>\n 2/7 (28.6)\n </td>\n <td>\n 6/20 (30.0)\n </td>\n <td>\n .943\n </td>\n </tr>\n <tr>\n <td>\n Plain water\n </td>\n <td>\n 1/7 (14.23)\n </td>\n <td>\n 1/20 (5.0)\n </td>\n <td>\n .419\n </td>\n </tr>\n <tr>\n <td>\n Commercial infant formula\n </td>\n <td>\n 3/7 (42.9)\n </td>\n <td>\n 6/20 (30.0)\n </td>\n <td>\n .535\n </td>\n </tr>\n <tr>\n <td>\n Median duration of EBF (days)\n </td>\n <td>\n 98 (1–150)\n </td>\n <td>\n 56 (1–150)\n </td>\n <td>\n .000b\n </td>\n </tr>\n <tr>\n <td>\n Median duration of any breastfeeding (days)\n </td>\n <td>\n 275 (1–365)\n </td>\n <td>\n 218 (1–365)\n </td>\n <td>\n .050b\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n Main person advising about breastfeeding\n </td>\n </tr>\n <tr>\n <td>\n Mother of the child\n </td>\n <td>\n 5 (3.0)\n </td>\n <td>\n 16 (9.8)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Mother\n </td>\n <td>\n 4 (2.4)\n </td>\n <td>\n 12 (7.4)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Mother in law\n </td>\n <td>\n 0 (0.0)\n </td>\n <td>\n 5 (3.1)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Other relatives\n </td>\n <td>\n 1 (0.6)\n </td>\n <td>\n 12 (7.4)\n </td>\n <td>\n <.001\n </td>\n </tr>\n <tr>\n <td>\n Neighbour\n </td>\n <td>\n 2 (1.2)\n </td>\n <td>\n 1 (0.6)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Doctor\n </td>\n <td>\n 2 (1.2)\n </td>\n <td>\n 15 (9.2)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Nurse\n </td>\n <td>\n 8 (4.8)\n </td>\n <td>\n 11 (6.7)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Trained traditional birth attendant\n </td>\n <td>\n 3 (1.8)\n </td>\n <td>\n 7 (4.3)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Friends\n </td>\n <td>\n 0 (0.0)\n </td>\n <td>\n 1 (0.6)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n NGO worker\n </td>\n <td>\n 4 (2.4)\n </td>\n <td>\n 78 (47.9)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Peer counsellor\n </td>\n <td>\n 137 (83.0)\n </td>\n <td>\n 4 (2.4)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n Main person who helped practically with breastfeeding practice\n </td>\n </tr>\n <tr>\n <td>\n Mother of the child\n </td>\n <td>\n 6 (3.6)\n </td>\n <td>\n 26 (15.8)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Mother\n </td>\n <td>\n 10 (6.1)\n </td>\n <td>\n 16 (9.8)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Husband\n </td>\n <td>\n 0 (0.0)\n </td>\n <td>\n 1 (0.6)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Mother in law\n </td>\n <td>\n 1 (0.6)\n </td>\n <td>\n 6 (3.7)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Other relatives\n </td>\n <td>\n 7 (4.2)\n </td>\n <td>\n 14 (8.5)\n </td>\n <td>\n <.001\n </td>\n </tr>\n <tr>\n <td>\n Neighbour\n </td>\n <td>\n 0 (0.0)\n </td>\n <td>\n 1 (0.6)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Doctor\n </td>\n <td>\n 2 (1.2)\n </td>\n <td>\n 2 (1.2)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Nurse\n </td>\n <td>\n 10 (6.06)\n </td>\n <td>\n 53 (32.3)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Trained traditional birth attendant\n </td>\n <td>\n 1 (0.6)\n </td>\n <td>\n 27 (16.5)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Untrained birth attendant\n </td>\n <td>\n 2 (1.2)\n </td>\n <td>\n 10 (6.1)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n NGO worker\n </td>\n <td>\n 0 (0.0)\n </td>\n <td>\n 4 (2.4)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Peer counsellor\n </td>\n <td>\n 126 (76.4)\n </td>\n <td>\n 4 (2.4)\n </td>\n <td>\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 Petal sample\n \n </td>\n <td>\n \n Temperature at base (°C)\n \n </td>\n <td>\n \n Temperature at tip (°C)\n \n </td>\n <td>\n \n Plant growth conditions\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 1\n </td>\n <td>\n 27.1\n </td>\n <td>\n 26.4\n </td>\n <td>\n Tropical\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 27.6\n </td>\n <td>\n 26.8\n </td>\n <td>\n Tropical\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 27.9\n </td>\n <td>\n 27.2\n </td>\n <td>\n Tropical\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n 27.3\n </td>\n <td>\n 26.8\n </td>\n <td>\n Tropical\n </td>\n </tr>\n <tr>\n <td>\n 5\n </td>\n <td>\n 22\n </td>\n <td>\n 21.3\n </td>\n <td>\n Temperate\n </td>\n </tr>\n <tr>\n <td>\n 6\n </td>\n <td>\n 22.2\n </td>\n <td>\n 21.8\n </td>\n <td>\n Temperate\n </td>\n </tr>\n <tr>\n <td>\n 7\n </td>\n <td>\n 21.9\n </td>\n <td>\n 21.7\n </td>\n <td>\n Temperate\n </td>\n </tr>\n <tr>\n <td>\n 8\n </td>\n <td>\n 21.9\n </td>\n <td>\n 21.2\n </td>\n <td>\n Temperate\n </td>\n </tr>\n <tr>\n <td>\n 9\n </td>\n <td>\n 27.9\n </td>\n <td>\n 27.4\n </td>\n <td>\n Tropical\n </td>\n </tr>\n <tr>\n <td>\n 10\n </td>\n <td>\n 27.9\n </td>\n <td>\n 27.9\n </td>\n <td>\n Tropical\n </td>\n </tr>\n <tr>\n <td>\n 11\n </td>\n <td>\n 21.7\n </td>\n <td>\n 21.4\n </td>\n <td>\n Temperate\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 Variable\n \n </td>\n <td>\n \n Group on-pump (\n \n n\n \n = 130)\n \n </td>\n <td>\n \n Group off-pump (\n \n n\n \n = 78)\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 Early patency rate(1 year)\n </td>\n <td>\n 80.0%(104/130)\n </td>\n <td>\n 76.9%(60/78)\n </td>\n <td>\n 0.599\n </td>\n </tr>\n <tr>\n <td>\n Grade A\n </td>\n <td>\n 92.3%(96/104)\n </td>\n <td>\n 91.7%(55/60)\n </td>\n <td>\n 0.884\n </td>\n </tr>\n <tr>\n <td>\n Grade B\n </td>\n <td>\n 7.7%(8/104)\n </td>\n <td>\n 8.3%(5/60)\n </td>\n <td>\n 0.988\n </td>\n </tr>\n <tr>\n <td>\n Midterm patency rate(3 year)\n </td>\n <td>\n 71.5%(93/130)\n </td>\n <td>\n 67.9%(53/78)\n </td>\n <td>\n 0.584\n </td>\n </tr>\n <tr>\n <td>\n Grade A\n </td>\n <td>\n 80.6%(75/93)\n </td>\n <td>\n 77.4%(41/53)\n </td>\n <td>\n 0.636\n </td>\n </tr>\n <tr>\n <td>\n Grade B\n </td>\n <td>\n 19.4%(18/93)\n </td>\n <td>\n 22.6%(12/53)\n </td>\n <td>\n 0.636\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 rowspan=\"2\">\n \n Length distribution\n \n </td>\n <td colspan=\"2\">\n \n Transcripts\n \n </td>\n <td colspan=\"2\">\n \n Unigenes\n \n </td>\n </tr>\n <tr>\n <td>\n \n Number\n \n </td>\n <td>\n \n Percentage (%)\n \n </td>\n <td>\n \n Number\n \n </td>\n <td>\n \n Percentage (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 201–500\n </td>\n <td>\n 170,861\n </td>\n <td>\n 61.86\n </td>\n <td>\n 53,633\n </td>\n <td>\n 34.34\n </td>\n </tr>\n <tr>\n <td>\n 501–-1000\n </td>\n <td>\n 54,976\n </td>\n <td>\n 19.90\n </td>\n <td>\n 52,225\n </td>\n <td>\n 33.44\n </td>\n </tr>\n <tr>\n <td>\n 1001–2000\n </td>\n <td>\n 32,396\n </td>\n <td>\n 11.74\n </td>\n <td>\n 32,370\n </td>\n <td>\n 20.72\n </td>\n </tr>\n <tr>\n <td>\n > 2000\n </td>\n <td>\n 17,956\n </td>\n <td>\n 6.50\n </td>\n <td>\n 17,956\n </td>\n <td>\n 11.50\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 276,189\n </td>\n <td>\n 100.00\n </td>\n <td>\n 156,184\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td>\n Total length (bp)\n </td>\n <td>\n 190,057,842\n </td>\n <td>\n </td>\n <td>\n 155,645,929\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Mean length (bp)\n </td>\n <td>\n 688\n </td>\n <td>\n </td>\n <td>\n 997\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n N50 (bp)\n </td>\n <td>\n 1085\n </td>\n <td>\n </td>\n <td>\n 1430\n </td>\n <td>\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 HbA1c\n \n </td>\n <td>\n \n <53 mmol/mol\n \n </td>\n <td>\n \n >53 mmol/mol\n \n </td>\n <td>\n \n \n p\n \n Mann–Whitney\n \n U\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age\n </td>\n <td>\n 55.4 ± 13.5\n </td>\n <td>\n 57.8 ± 9.4\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n WC (cms)\n </td>\n <td>\n 102.6 ± 13.2\n </td>\n <td>\n 107 ± 12.9\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n BMI (kg/m\n <sup>\n 2\n </sup>\n )\n </td>\n <td>\n 30.3 ± 7.7\n </td>\n <td>\n 32.8 ± 6.0\n </td>\n <td>\n 0.05\n </td>\n </tr>\n <tr>\n <td>\n SBP (mm/Hg)\n </td>\n <td>\n 132 ± 28\n </td>\n <td>\n 132 ± 20\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n DBP (mm/Hg)\n </td>\n <td>\n 82 ± 13\n </td>\n <td>\n 82 ± 12\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n TC (mmol/L)\n </td>\n <td>\n 4.88 ± 1.11\n </td>\n <td>\n 5.02 ± 1.18\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n TG (mmol/L)\n </td>\n <td>\n 1.54 ± 1.06\n </td>\n <td>\n 1.75 ± 1.19\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n HDL-C (mmol/L)\n </td>\n <td>\n 1.21 ± 0.34\n </td>\n <td>\n 1.11 ± 0.29\n </td>\n <td>\n 0.04\n </td>\n </tr>\n <tr>\n <td>\n LDL-C (mmol/L)\n </td>\n <td>\n 3.07 ± 0.95\n </td>\n <td>\n 3.04 ± 0.98\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n ALT (IU/L)\n </td>\n <td>\n 21.91 ± 12.72\n </td>\n <td>\n 34.15 ± 177.75\n </td>\n <td>\n 0.02\n </td>\n </tr>\n <tr>\n <td>\n Insulin (\n \n μ\n \n U/mL)\n </td>\n <td>\n 11.51 ± 14.74\n </td>\n <td>\n 17.15 ± 25.48\n </td>\n <td>\n NS\n </td>\n </tr>\n <tr>\n <td>\n S%\n </td>\n <td>\n 88.05 ± 41.30\n </td>\n <td>\n 73.46 ± 50.21\n </td>\n <td>\n 0.03\n </td>\n </tr>\n <tr>\n <td>\n B%\n </td>\n <td>\n 77.08 ± 53.19\n </td>\n <td>\n 43.40 ± 37.69\n </td>\n <td>\n <0.0001\n </td>\n </tr>\n <tr>\n <td>\n HOMA-IR\n </td>\n <td>\n 1.51 ± 1.04\n </td>\n <td>\n 2.31 ± 2.0\n </td>\n <td>\n 0.03\n </td>\n </tr>\n <tr>\n <td>\n Glucose (mmol/L)\n </td>\n <td>\n 6.73 ± 2.03\n </td>\n <td>\n 11.23 ± 4.08\n </td>\n <td>\n <0.0001\n </td>\n </tr>\n <tr>\n <td>\n HbA1c (%)\n </td>\n <td>\n 6.34 ± 0.47\n </td>\n <td>\n 10.69 ± 2.53\n </td>\n <td>\n <0.0001\n </td>\n </tr>\n <tr>\n <td>\n Adiponectin (\n \n μ\n \n g/mL)\n </td>\n <td>\n 8.58 ± 4.5\n </td>\n <td>\n 7.37 ± 4.35\n </td>\n <td>\n 0.04\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 therapeutic method\n \n </td>\n <td>\n \n plasma exchange\n \n </td>\n <td>\n \n bilirubin adsorption\n \n </td>\n <td>\n \n hemofiltration\n \n </td>\n <td>\n \n Total\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Cases\n </td>\n <td>\n 34\n </td>\n <td>\n 9\n </td>\n <td>\n 9\n </td>\n <td>\n 52\n </td>\n </tr>\n <tr>\n <td>\n Proportion\n </td>\n <td>\n 65.38%\n </td>\n <td>\n 17.31%\n </td>\n <td>\n 17.31%\n </td>\n <td>\n 100%\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
|
{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n \n WT\n \n </td>\n <td colspan=\"2\">\n \n KO\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Females\n \n </td>\n <td>\n \n Males\n \n </td>\n <td>\n \n Females\n \n </td>\n <td>\n \n Males\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Saline\n </td>\n <td>\n 14 (5, 2)\n </td>\n <td>\n 14 (12, 2)\n </td>\n <td>\n 11 (5, 2)\n </td>\n <td>\n 11 (11, 3)\n </td>\n </tr>\n <tr>\n <td>\n MPTP\n </td>\n <td>\n 10 (5, 2)\n </td>\n <td>\n 13 (12, 3)\n </td>\n <td>\n 12 (7, 4)\n </td>\n <td>\n 13 (14, 2)\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 rowspan=\"2\">\n \n Treatment\n \n </td>\n <td colspan=\"3\">\n \n Species richness\n \n </td>\n <td colspan=\"3\">\n \n Conidial richness\n \n </td>\n </tr>\n <tr>\n <td>\n \n df\n \n </td>\n <td>\n \n F\n \n </td>\n <td>\n \n \n p\n \n \n </td>\n <td>\n \n df\n \n </td>\n <td>\n \n F\n \n </td>\n <td>\n \n \n p\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Stream\n </td>\n <td>\n 1\n </td>\n <td>\n 89.994\n </td>\n <td>\n <0.001\n </td>\n <td>\n 1\n </td>\n <td>\n 11.459\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Method\n </td>\n <td>\n 2\n </td>\n <td>\n 220.352\n </td>\n <td>\n <0.001\n </td>\n <td>\n 2\n </td>\n <td>\n 255.205\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Time\n </td>\n <td>\n 8\n </td>\n <td>\n 14.426\n </td>\n <td>\n <0.001\n </td>\n <td>\n 8\n </td>\n <td>\n 14.746\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Stream × Method\n </td>\n <td>\n 2\n </td>\n <td>\n 16.006\n </td>\n <td>\n <0.001\n </td>\n <td>\n 2\n </td>\n <td>\n 17.822\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Stream × Time\n </td>\n <td>\n 8\n </td>\n <td>\n 12.147\n </td>\n <td>\n <0.001\n </td>\n <td>\n 8\n </td>\n <td>\n 10.024\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Sample × Time\n </td>\n <td>\n 16\n </td>\n <td>\n 10.438\n </td>\n <td>\n <0.001\n </td>\n <td>\n 16\n </td>\n <td>\n 7.988\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Stream × Method × Time\n </td>\n <td>\n 16\n </td>\n <td>\n 4.193\n </td>\n <td>\n <0.001\n </td>\n <td>\n 16\n </td>\n <td>\n 2.892\n </td>\n <td>\n <0.001\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
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{
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n 200 mg ATL1103 once weekly\n \n </td>\n <td>\n \n 200 mg ATL1103 twice weekly\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Number of patients\n </td>\n <td>\n 13\n </td>\n <td>\n 13\n </td>\n </tr>\n <tr>\n <td>\n Age (years)\n </td>\n <td>\n 49 (26–72)\n </td>\n <td>\n 49 (32–80)\n </td>\n </tr>\n <tr>\n <td>\n Sex (M/F)\n </td>\n <td>\n 5/8\n </td>\n <td>\n 6/7\n </td>\n </tr>\n <tr>\n <td>\n Duration of disease* (years)\n </td>\n <td>\n 9.0 (1–24)\n </td>\n <td>\n 3 (<1–20)\n </td>\n </tr>\n <tr>\n <td>\n Weight (kg)\n </td>\n <td>\n 90.6 (73.4–113.9)\n </td>\n <td>\n 83.2 (58–131.6)\n </td>\n </tr>\n <tr>\n <td>\n Height (cm)\n </td>\n <td>\n 169 (154–194)\n </td>\n <td>\n 163 (148–197)\n </td>\n </tr>\n <tr>\n <td>\n BMI (kg/m\n <sup>\n 2\n </sup>\n )\n </td>\n <td>\n 31.8 (26.0–39.6)\n </td>\n <td>\n 29.4 (21.4–45.3)\n </td>\n </tr>\n <tr>\n <td>\n Size of adenoma at diagnosis (no. (%))\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Micro (<10 mm)\n </td>\n <td>\n 2 (18)\n </td>\n <td>\n 2 (16.7)\n </td>\n </tr>\n <tr>\n <td>\n Macro (≥10 mm)\n </td>\n <td>\n 9 (81.8)\n </td>\n <td>\n 10 (83.3)\n </td>\n </tr>\n <tr>\n <td>\n Missing\n </td>\n <td>\n 2\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Hypopituitarism at study entry (no. (%))\n </td>\n <td>\n 4 (30.8)\n </td>\n <td>\n 4 (30.8)\n </td>\n </tr>\n <tr>\n <td>\n Previous therapy (no. (%))\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Surgery\n </td>\n <td>\n 13 (100)\n </td>\n <td>\n 12 (92.3)\n </td>\n </tr>\n <tr>\n <td>\n Radiotherapy (all modalities)\n </td>\n <td>\n 6 (46.2)\n </td>\n <td>\n 5 (38.5)\n </td>\n </tr>\n <tr>\n <td>\n Dopamine agonist therapy\n </td>\n <td>\n 3 (23)\n </td>\n <td>\n 5 (38.5)\n </td>\n </tr>\n <tr>\n <td>\n Somatostatin analogue therapy\n </td>\n <td>\n 11 (84.6)\n </td>\n <td>\n 12 (92.3)\n </td>\n </tr>\n <tr>\n <td>\n Pegvisomant therapy\n </td>\n <td>\n 7 (53.8)\n </td>\n <td>\n 5 (38.5)\n </td>\n </tr>\n <tr>\n <td>\n Serum growth hormone (ng/mL)\n </td>\n <td>\n 3.6 (0.4–60.6)\n </td>\n <td>\n 3.5 (1.5–9.4)\n </td>\n </tr>\n <tr>\n <td>\n GH nadir (screening OGTT) (ng/mL)\n </td>\n <td>\n 2.5 (0.29–54.69)\n </td>\n <td>\n 2.4 (0.37–5.52)\n </td>\n </tr>\n <tr>\n <td>\n Serum IGF-I (ng/mL)\n </td>\n <td>\n 447 (205–975)\n </td>\n <td>\n 642 (239–831)\n <sup>\n †\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n Serum GHBP (pM)\n </td>\n <td>\n 1179.0 (386–7637)\n </td>\n <td>\n 525.0 (<69–6434)\n <sup>\n ‡\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n Serum IGFBP3 (ng/mL)\n </td>\n <td>\n 6589.0 (5162–9630)\n </td>\n <td>\n 7005.0 (3396–9843)\n </td>\n </tr>\n <tr>\n <td>\n ALS (mU/mL)\n </td>\n <td>\n 1669.0 (1395–2829)\n </td>\n <td>\n 1970.0 (945–2463)\n </td>\n </tr>\n <tr>\n <td>\n Ring size circumference (mm)\n </td>\n <td>\n 63.8 (57.5–81.4)\n </td>\n <td>\n 67.5 (53.7–78.9)\n </td>\n </tr>\n <tr>\n <td>\n AcroQoL (global score)\n </td>\n <td>\n 58 (18–100)\n </td>\n <td>\n 71 (56–90)\n </td>\n </tr>\n <tr>\n <td>\n SSS (calculated maximum score)\n </td>\n <td>\n 20.0 (1–36)\n <sup>\n §\n </sup>\n </td>\n <td>\n 11 (7–30)\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 Demographic parameters\n \n </td>\n <td>\n \n Value\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"2\">\n Ethnical origin (% of the whole IPF cohort)\n </td>\n </tr>\n <tr>\n <td>\n Caucasian\n </td>\n <td>\n 67.6\n </td>\n </tr>\n <tr>\n <td>\n African\n </td>\n <td>\n 3.8\n </td>\n </tr>\n <tr>\n <td>\n Indian\n </td>\n <td>\n 1.3\n </td>\n </tr>\n <tr>\n <td>\n Polynesian\n </td>\n <td>\n 1.0\n </td>\n </tr>\n <tr>\n <td>\n Missing data (Patients did not provide the ethnic origin)\n </td>\n <td>\n 26\n </td>\n </tr>\n <tr>\n <td>\n Male (%)\n </td>\n <td>\n 73.7\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n BMI\n </td>\n </tr>\n <tr>\n <td>\n mean value ± SD (kg-m\n <sup>\n 2\n </sup>\n )\n </td>\n <td>\n 27.2 ± 4.6\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n Familial IPF (% of the whole IPF cohort)\n </td>\n </tr>\n <tr>\n <td>\n Grade A - Direct relative suffers or died at IPF / NSIP\n </td>\n <td>\n 9.5\n </td>\n </tr>\n <tr>\n <td>\n Grade B - Direct relative suffers or died from IIP\n </td>\n <td>\n 4.4\n </td>\n </tr>\n <tr>\n <td>\n Grade C - Direct relative suffers / died from non-classified lung disease\n </td>\n <td>\n 4.8\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n Age at diagnosis\n </td>\n </tr>\n <tr>\n <td>\n mean value ± SD (years)\n </td>\n <td>\n 65.2 ± 11.6\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n Age at enrollment into the registry\n </td>\n </tr>\n <tr>\n <td>\n mean value ± SD (years)\n </td>\n <td>\n 68.1 ± 11.1\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n Time between onset of symptoms and inclusion into eurIPFreg\n </td>\n </tr>\n <tr>\n <td>\n median; q1-q3 (months)\n </td>\n <td>\n 36.5; 19.2–70.3\n </td>\n </tr>\n <tr>\n <td>\n mean value ± SD (months)\n </td>\n <td>\n 59 ± 3.85\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n Time between onset of symptoms and diagnosis\n </td>\n </tr>\n <tr>\n <td>\n median; q1-q3 (months)\n </td>\n <td>\n 6; 1–25.5\n </td>\n </tr>\n <tr>\n <td>\n mean value ± SD (months)\n </td>\n <td>\n 21.8 ± 3.49\n </td>\n </tr>\n <tr>\n <td>\n Smokers/ Ex-Smokers/ Never-Smokers (%)\n </td>\n <td>\n 4.0/65.4/30.6\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 Genotype\n <sup>\n a\n </sup>\n \n </td>\n <td>\n \n Anthesis(DAS)\n <sup>\n b\n </sup>\n \n </td>\n <td>\n \n Number of rosette leaves\n \n </td>\n <td>\n \n N\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n WT\n </td>\n <td>\n 31.86 ± 0.99\n </td>\n <td>\n 12.53 ± 1.48\n </td>\n <td>\n 36\n </td>\n </tr>\n <tr>\n <td>\n Line 1\n </td>\n <td>\n 30.78 ± 1.29\n <sup>\n **\n </sup>\n </td>\n <td>\n 11.67 ± 1.41\n <sup>\n *\n </sup>\n </td>\n <td>\n 36\n </td>\n </tr>\n <tr>\n <td>\n Line 2\n </td>\n <td>\n 31.03 ± 1.38\n <sup>\n *\n </sup>\n </td>\n <td>\n 11.86 ± 1.40\n </td>\n <td>\n 36\n </td>\n </tr>\n <tr>\n <td>\n Line 3\n </td>\n <td>\n 30.61 ± 1.34\n <sup>\n **\n </sup>\n </td>\n <td>\n 11.25 ± 1.5\n <sup>\n **\n </sup>\n </td>\n <td>\n 36\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 </td>\n <td>\n \n No depletion (35/40 min)\n \n </td>\n <td>\n \n Partial depletion (65/70 min)\n \n </td>\n <td>\n \n Full depletion (100/105 min)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td rowspan=\"5\">\n Experimental results\n </td>\n <td colspan=\"2\">\n \n v\n \n (μm min\n <sup>\n –1\n </sup>\n )\n </td>\n <td>\n 0.20 ± 0.18\n </td>\n <td>\n 1.14 ± 0.96\n </td>\n <td>\n 1.62 ± 1.23\n </td>\n </tr>\n <tr>\n <td rowspan=\"2\">\n [Li\n <sup>\n +\n </sup>\n ]\n <sub>\n 10 μm\n </sub>\n (mM)\n </td>\n <td>\n t1\n </td>\n <td>\n 91 ± 23\n </td>\n <td>\n 55 ± 21\n </td>\n <td>\n 50 ± 30\n </td>\n </tr>\n <tr>\n <td>\n t2\n </td>\n <td>\n 86 ± 24\n </td>\n <td>\n 37 ± 21\n </td>\n <td>\n 48 ± 31\n </td>\n </tr>\n <tr>\n <td rowspan=\"2\">\n \n R\n \n of\n \n v\n \n and [Li\n <sup>\n +\n </sup>\n ]\n <sub>\n 10 μm\n </sub>\n in Fig. 4\n </td>\n <td>\n t1\n </td>\n <td>\n 0.05\n </td>\n <td>\n 0.22\n </td>\n <td>\n 0.58\n </td>\n </tr>\n <tr>\n <td>\n t2\n </td>\n <td>\n 0.29\n </td>\n <td>\n 0.59\n </td>\n <td>\n 0.84\n </td>\n </tr>\n <tr>\n <td rowspan=\"5\">\n Simulation results\n </td>\n <td colspan=\"2\">\n \n v\n \n (μm min\n <sup>\n –1\n </sup>\n )\n </td>\n <td>\n 0.25 ± 0.30\n </td>\n <td>\n 0.42 ± 0.45\n </td>\n <td>\n 0.86 ± 0.82\n </td>\n </tr>\n <tr>\n <td rowspan=\"2\">\n [Li\n <sup>\n +\n </sup>\n ]\n <sub>\n 10 μm\n </sub>\n (mM)\n </td>\n <td>\n t1\n </td>\n <td>\n /\n </td>\n <td>\n /\n </td>\n <td>\n /\n </td>\n </tr>\n <tr>\n <td>\n t2\n </td>\n <td>\n 81 ± 17\n </td>\n <td>\n 57 ± 19\n </td>\n <td>\n 46 ± 26\n </td>\n </tr>\n <tr>\n <td rowspan=\"2\">\n \n R\n \n of\n \n v\n \n and [Li\n <sup>\n +\n </sup>\n ]\n <sub>\n 10 μm\n </sub>\n in Supplementary Fig. 13\n </td>\n <td>\n t1\n </td>\n <td>\n 0.30\n </td>\n <td>\n 0.48\n </td>\n <td>\n 0.78\n </td>\n </tr>\n <tr>\n <td>\n t2\n </td>\n <td>\n 0.45\n </td>\n <td>\n 0.73\n </td>\n <td>\n 0.86\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 rowspan=\"2\">\n \n Outcome\n \n </td>\n <td>\n \n \n HMGA2\n \n \n −\n \n \n </td>\n <td>\n \n \n HMGA2\n \n \n +\n \n \n </td>\n <td rowspan=\"2\">\n \n Unadjusted OR/HR(95% CI)\n \n P\n \n \n </td>\n <td rowspan=\"2\">\n \n Adjusted\n <sup>\n a\n </sup>\n OR/HR(95% CI)\n \n P\n \n \n </td>\n </tr>\n <tr>\n <td>\n \n \n n\n \n = 160\n \n </td>\n <td>\n \n \n n\n \n = 100\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n CR and CRi\n <sup>\n b\n </sup>\n </td>\n <td>\n 95.6%\n </td>\n <td>\n 80%\n </td>\n <td>\n 5.05 (2.20–11.6) <0.001\n </td>\n <td>\n 3.98 (1.36–11.65)0.010\n </td>\n </tr>\n <tr>\n <td>\n Overall survival\n </td>\n <td>\n 51%\n <sup>\n c\n </sup>\n </td>\n <td>\n 21%\n <sup>\n c\n </sup>\n </td>\n <td>\n 2.33 (1.61–3.36) <0.001\n </td>\n <td>\n 2.03 (1.36–3.03) <0.001\n </td>\n </tr>\n <tr>\n <td>\n Relapse-free survival\n </td>\n <td>\n 44%\n <sup>\n c\n </sup>\n </td>\n <td>\n 21%\n <sup>\n c\n </sup>\n </td>\n <td>\n 2.13 (1.45–3.13) <0.001\n </td>\n <td>\n 2.06 (1.38–3.08) <0.001\n </td>\n </tr>\n <tr>\n <td>\n Cumulative incidence of relapse\n </td>\n <td>\n 46%\n <sup>\n c\n </sup>\n </td>\n <td>\n 60%\n <sup>\n c\n </sup>\n </td>\n <td>\n 1.97 (1.28–3.03)0.002\n </td>\n <td>\n 2.01 (1.28–3.14)0.002\n </td>\n </tr>\n <tr>\n <td>\n Cumulative incidence of death\n </td>\n <td>\n 10%\n <sup>\n c\n </sup>\n </td>\n <td>\n 18%\n <sup>\n c\n </sup>\n </td>\n <td>\n 2.87 (1.22–6.75)0.020\n </td>\n <td>\n 2.29 (0.89–5.87)0.090\n </td>\n </tr>\n <tr>\n <td>\n Overall survival censored at transplant\n </td>\n <td>\n 60%\n <sup>\n c\n </sup>\n </td>\n <td>\n 31%\n <sup>\n c\n </sup>\n </td>\n <td>\n 2.70 (1.68–4.34) <0.001\n </td>\n <td>\n 2.00 (1.18–3.39)0.010\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 Antibiotic Class\n \n </td>\n <td>\n \n Number Tested\n \n </td>\n <td>\n \n Number Resistant\n \n </td>\n <td>\n \n Percent Resistant\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Lincosamides\n </td>\n <td>\n 160\n </td>\n <td>\n 160\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td>\n Lincospectin\n </td>\n <td>\n 104\n </td>\n <td>\n 104\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td>\n Macrolides\n </td>\n <td>\n 161\n </td>\n <td>\n 153\n </td>\n <td>\n 95.0\n </td>\n </tr>\n <tr>\n <td>\n Cephalosporins\n </td>\n <td>\n 166\n </td>\n <td>\n 139\n </td>\n <td>\n 83.7\n </td>\n </tr>\n <tr>\n <td>\n Penicillins\n </td>\n <td>\n 167\n </td>\n <td>\n 117\n </td>\n <td>\n 70.1\n </td>\n </tr>\n <tr>\n <td>\n Tetracyclines\n </td>\n <td>\n 166\n </td>\n <td>\n 112\n </td>\n <td>\n 67.5\n </td>\n </tr>\n <tr>\n <td>\n Synulox\n </td>\n <td>\n 163\n </td>\n <td>\n 95\n </td>\n <td>\n 58.3\n </td>\n </tr>\n <tr>\n <td>\n Potentiated sulpha\n </td>\n <td>\n 166\n </td>\n <td>\n 41\n </td>\n <td>\n 24.7\n </td>\n </tr>\n <tr>\n <td>\n Amphenicols\n </td>\n <td>\n 118\n </td>\n <td>\n 29\n </td>\n <td>\n 24.6\n </td>\n </tr>\n <tr>\n <td>\n Aminoglycoside\n </td>\n <td>\n 167\n </td>\n <td>\n 36\n </td>\n <td>\n 21.6\n </td>\n </tr>\n <tr>\n <td>\n Fluoroquinolone\n </td>\n <td>\n 167\n </td>\n <td>\n 21\n </td>\n <td>\n 12.6\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 Cell types\n \n </td>\n <td>\n \n Gene\n \n </td>\n <td>\n \n Head kidney\n \n </td>\n <td>\n \n Spleen\n \n </td>\n <td>\n \n Anterior intestine\n \n </td>\n <td>\n \n Posterior intestine\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"6\">\n T cells\n </td>\n </tr>\n <tr>\n <td rowspan=\"2\">\n \n Pan\n \n T cell\n </td>\n <td>\n \n zap70\n \n </td>\n <td>\n \n 0.63 ± 0.04*\n \n </td>\n <td>\n 0.82 ± 0.07\n </td>\n <td>\n \n 1.57 ± 0.15*\n \n </td>\n <td>\n 1.23 ± 0.13\n </td>\n </tr>\n <tr>\n <td>\n \n cd3ζ\n \n </td>\n <td>\n \n 0.62 ± 0.06*\n \n </td>\n <td>\n 1.09 ± 0.06\n </td>\n <td>\n \n 1.63 ± 0.16*\n \n </td>\n <td>\n 0.97 ± 0.09\n </td>\n </tr>\n <tr>\n <td rowspan=\"2\">\n T\n <sub>\n H\n </sub>\n cells\n </td>\n <td>\n \n cd4-1\n \n </td>\n <td>\n \n 0.50 ± 0.04*\n \n </td>\n <td>\n 0.91 ± 0.13\n </td>\n <td>\n \n 1.44 ± 0.16*\n \n </td>\n <td>\n 1.07 ± 0.11\n </td>\n </tr>\n <tr>\n <td>\n \n cd4-2\n \n </td>\n <td>\n \n 0.70 ± 0.11*\n \n </td>\n <td>\n 1.25 ± 0.18\n </td>\n <td>\n \n 1.59 ± 0.10*\n \n </td>\n <td>\n 1.22 ± 0.12\n </td>\n </tr>\n <tr>\n <td rowspan=\"2\">\n CTLs\n </td>\n <td>\n \n cd8α\n \n </td>\n <td>\n \n 0.53 ± 0.06*\n \n </td>\n <td>\n 0.84 ± 0.10\n </td>\n <td>\n \n 1.92 ± 0.34*\n \n </td>\n <td>\n 0.89 ± 0.14\n </td>\n </tr>\n <tr>\n <td>\n \n cd8β\n \n </td>\n <td>\n \n 0.47 ± 0.07*\n \n </td>\n <td>\n 0.80 ± 0.16\n </td>\n <td>\n \n 1.69 ± 0.26*\n \n </td>\n <td>\n 0.79 ± 0.09\n </td>\n </tr>\n <tr>\n <td rowspan=\"3\">\n Transcription factors\n </td>\n <td>\n \n tbet\n \n </td>\n <td>\n 1.03 ± 0.12\n </td>\n <td>\n 0.94 ± 0.09\n </td>\n <td>\n \n 2.17 ± 0.27*\n \n </td>\n <td>\n \n 1.67 ± 0.21*\n \n </td>\n </tr>\n <tr>\n <td>\n \n gata3\n \n </td>\n <td>\n 0.72 ± 0.07\n </td>\n <td>\n 0.82 ± 0.09\n </td>\n <td>\n 0.74 ± 0.11\n </td>\n <td>\n 1.22 ± 0.13\n </td>\n </tr>\n <tr>\n <td>\n \n foxp3\n \n </td>\n <td>\n \n 0.59 ± 0.06*\n \n </td>\n <td>\n 1.02 ± 0.14\n </td>\n <td>\n 0.99 ± 0.13\n </td>\n <td>\n 1.23 ± 0.20\n </td>\n </tr>\n <tr>\n <td rowspan=\"9\">\n Driver/effector cytokines\n </td>\n <td>\n \n tnfα\n \n </td>\n <td>\n 1.04 ± 0.21\n </td>\n <td>\n 1.86 ± 0.43\n <sup>\n 0.08\n </sup>\n </td>\n <td>\n 1.34 ± 0.13\n <sup>\n 0.09\n </sup>\n </td>\n <td>\n 4.38 ± 2.96\n </td>\n </tr>\n <tr>\n <td>\n \n ifnγ\n \n </td>\n <td>\n 0.93 ± 0.08\n </td>\n <td>\n 1.05 ± 0.04\n </td>\n <td>\n \n 3.57 ± 0.45*\n \n </td>\n <td>\n \n 6.22 ± 1.15*\n \n </td>\n </tr>\n <tr>\n <td>\n \n il12(p40)\n \n </td>\n <td>\n 0.49 ± 0.06\n </td>\n <td>\n 1.53 ± 0.40\n </td>\n <td>\n 0.70 ± 0.12\n </td>\n <td>\n 0.62 ± 0.16\n <sup>\n 0.07\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n \n il4/13a\n \n </td>\n <td>\n 0.93 ± 0.19\n </td>\n <td>\n 1.89 ± 0.43\n <sup>\n 0.08\n </sup>\n </td>\n <td>\n 1.07 ± 0.16\n </td>\n <td>\n \n 3.22 ± 0.97*\n \n </td>\n </tr>\n <tr>\n <td>\n \n Il4/13b\n \n </td>\n <td>\n 0.91 ± 0.07\n </td>\n <td>\n 0.72 ± 0.09\n <sup>\n 0.06\n </sup>\n </td>\n <td>\n 0.91 ± 0.08\n </td>\n <td>\n 1.00 ± 0.09\n </td>\n </tr>\n <tr>\n <td>\n \n il6\n \n </td>\n <td>\n 2.09 ± 0.83\n </td>\n <td>\n 0.81 ± 0.13\n </td>\n <td>\n 1.95 ± 0.70\n </td>\n <td>\n \n 10.34 ± 3.75*\n \n </td>\n </tr>\n <tr>\n <td>\n \n il10\n \n </td>\n <td>\n 0.92 ± 0.09\n </td>\n <td>\n \n 1.34 ± 0.13*\n \n </td>\n <td>\n \n 2.04 ± 0.28*\n \n </td>\n <td>\n \n 1.56 ± 0.25*\n \n </td>\n </tr>\n <tr>\n <td>\n \n tgfβ\n \n </td>\n <td>\n 1.05 ± 0.15\n </td>\n <td>\n 1.27 ± 0.18\n </td>\n <td>\n 0.77 ± 0.09\n </td>\n <td>\n \n 0.54 ± 0.04*\n \n </td>\n </tr>\n <tr>\n <td>\n \n il17a/f\n \n </td>\n <td>\n 2.15 ± 1.27\n </td>\n <td>\n 2.08 ± 0.60\n </td>\n <td>\n \n 7.09 ± 2.75*\n \n </td>\n <td>\n \n 7.28 ± 1.63*\n \n </td>\n </tr>\n <tr>\n <td rowspan=\"3\">\n Cytotoxic enzymes\n </td>\n <td>\n \n gzma\n \n </td>\n <td>\n 0.91 ± 0.19\n </td>\n <td>\n 1.73 ± 0.26\n <sup>\n 0.06\n </sup>\n </td>\n <td>\n \n 9.32 ± 1.69*\n \n </td>\n <td>\n \n 10.97 ± 2.40*\n \n </td>\n </tr>\n <tr>\n <td>\n \n gzmb\n \n </td>\n <td>\n 1.13 ± 0.20\n </td>\n <td>\n 1.22 ± 0.15\n </td>\n <td>\n 1.10 ± 0.22\n </td>\n <td>\n \n 0.50 ± 0.07*\n \n </td>\n </tr>\n <tr>\n <td>\n \n prf1\n \n </td>\n <td>\n 0.89 ± 0.12\n </td>\n <td>\n 1.02 ± 0.07\n </td>\n <td>\n \n 2.08 ± 0.60*\n \n </td>\n <td>\n \n 0.54 ± 0.07*\n \n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n B cells\n </td>\n </tr>\n <tr>\n <td rowspan=\"4\">\n B cells\n </td>\n <td>\n \n mIgM\n \n </td>\n <td>\n 0.81 ± 0.12\n </td>\n <td>\n 1.05 ± 0.16\n </td>\n <td>\n \n 2.92 ± 0.75*\n \n </td>\n <td>\n \n 3.55 ± 0.57*\n \n </td>\n </tr>\n <tr>\n <td>\n \n mIgT\n \n </td>\n <td>\n 0.68 ± 0.09\n <sup>\n 0.06\n </sup>\n </td>\n <td>\n \n 0.58 ± 0.12*\n \n </td>\n <td>\n 1.65 ± 0.37\n </td>\n <td>\n 1.75 ± 0.47\n </td>\n </tr>\n <tr>\n <td>\n \n IgD\n \n </td>\n <td>\n 0.97 ± 0.12\n </td>\n <td>\n 0.90 ± 0.18\n </td>\n <td>\n \n 1.86 ± 0.36*\n \n </td>\n <td>\n 1.92 ± 0.50\n <sup>\n 0.09\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n \n pax5\n \n </td>\n <td>\n 0.93 ± 0.10\n </td>\n <td>\n 0.92 ± 0.13\n </td>\n <td>\n \n 1.59 ± 0.22*\n \n </td>\n <td>\n \n 2.49 ± 0.35*\n \n </td>\n </tr>\n <tr>\n <td rowspan=\"2\">\n Plasma cells\n </td>\n <td>\n \n sIgM\n \n </td>\n <td>\n 1.05 ± 0.16\n </td>\n <td>\n 1.23 ± 0.15\n </td>\n <td>\n \n 13.54 ± 5.30*\n \n </td>\n <td>\n \n 7.46 ± 1.46*\n \n </td>\n </tr>\n <tr>\n <td>\n \n sIgT\n \n </td>\n <td>\n 0.44 ± 0.23\n </td>\n <td>\n 1.00 ± 0.22\n </td>\n <td>\n 10.35 ± 7.8\n <sup>\n 0.09\n </sup>\n </td>\n <td>\n 104.29 ± 89\n <sup>\n 0.09\n </sup>\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n NCC cells\n </td>\n </tr>\n <tr>\n <td>\n NCC\n </td>\n <td>\n \n nccrp1\n \n </td>\n <td>\n 1.09 ± 0.11\n </td>\n <td>\n \n 1.93 ± 0.28*\n \n </td>\n <td>\n 0.87 ± 0.16\n </td>\n <td>\n 0.99 ± 0.11\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n Myeloid cells\n </td>\n </tr>\n <tr>\n <td>\n Eosinophils\n </td>\n <td>\n \n epx\n \n </td>\n <td>\n 1.09 ± 0.08\n </td>\n <td>\n \n 3.62 ± 0.63*\n \n </td>\n <td>\n 2.44 ± 1.02\n </td>\n <td>\n 1.18 ± 0.31\n </td>\n </tr>\n <tr>\n <td>\n Macrophages\n </td>\n <td>\n \n mpeg1\n \n </td>\n <td>\n 1.15 ± 0.18\n </td>\n <td>\n 1.45 ± 0.27\n <sup>\n 0.09\n </sup>\n </td>\n <td>\n 0.83 ± 0.11\n </td>\n <td>\n 0.92 ± 0.11\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Log reduction\n \n </td>\n <td>\n \n Std. Error\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 5 min\n </td>\n <td>\n 0.55\n </td>\n <td>\n ± 0.45\n </td>\n </tr>\n <tr>\n <td>\n 15 min\n </td>\n <td>\n 1.75\n </td>\n <td>\n ±0.38\n </td>\n </tr>\n <tr>\n <td>\n 30 min\n </td>\n <td>\n 2.63\n </td>\n <td>\n ± 0.17\n </td>\n </tr>\n <tr>\n <td>\n 1 h\n </td>\n <td>\n 3.77\n </td>\n <td>\n ± 0.25\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 rowspan=\"2\">\n </td>\n <td rowspan=\"2\">\n \n uEV Analysis\n \n </td>\n <td rowspan=\"2\">\n \n Age\n \n </td>\n <td rowspan=\"2\">\n \n Gender\n \n </td>\n <td rowspan=\"2\">\n \n HTA\n \n </td>\n <td rowspan=\"2\">\n \n DM2\n \n </td>\n <td rowspan=\"2\">\n \n DLP\n \n </td>\n <td rowspan=\"2\">\n \n Others\n \n </td>\n <td rowspan=\"2\">\n \n SrCr (mg/dL)\n \n </td>\n <td colspan=\"2\">\n \n Remuzzi Score\n \n </td>\n <td rowspan=\"2\">\n \n Cause of death\n \n </td>\n <td rowspan=\"2\">\n \n Drugs\n \n </td>\n <td rowspan=\"2\">\n \n ICU Drugs\n \n </td>\n </tr>\n <tr>\n <td>\n \n RK\n \n </td>\n <td>\n \n LK\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n LD1\n </td>\n <td>\n P,T\n </td>\n <td>\n 40–45\n </td>\n <td>\n F\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 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 <td>\n –\n </td>\n </tr>\n <tr>\n <td>\n LD2\n </td>\n <td>\n P,T\n </td>\n <td>\n 55–60\n </td>\n <td>\n F\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 0.98\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 LD3\n </td>\n <td>\n P,T\n </td>\n <td>\n 65–70\n </td>\n <td>\n M\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 0.63\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 LD4\n </td>\n <td>\n P,T\n </td>\n <td>\n 50–55\n </td>\n <td>\n M\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n Yes\n </td>\n <td>\n Hipotirodism\n </td>\n <td>\n 0.93\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n simvastatin, Levotiroxine\n </td>\n <td>\n –\n </td>\n </tr>\n <tr>\n <td>\n LD5\n </td>\n <td>\n P,T\n </td>\n <td>\n 55–60\n </td>\n <td>\n F\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 1.02\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 DD1\n </td>\n <td>\n P, T\n </td>\n <td>\n 65–70\n </td>\n <td>\n F\n </td>\n <td>\n Yes\n </td>\n <td>\n –\n </td>\n <td>\n Yes\n </td>\n <td>\n –\n </td>\n <td>\n 0.8\n </td>\n <td>\n 3\n </td>\n <td>\n 3\n </td>\n <td>\n CVA\n </td>\n <td>\n Olmesartan, Lormetazepam\n </td>\n <td>\n noradrenaline, furosemide\n </td>\n </tr>\n <tr>\n <td>\n DD2\n </td>\n <td>\n P, T\n </td>\n <td>\n 65–70\n </td>\n <td>\n F\n </td>\n <td>\n –\n </td>\n <td>\n Yes\n </td>\n <td>\n –\n </td>\n <td>\n obesity\n </td>\n <td>\n 0.8\n </td>\n <td>\n 5\n </td>\n <td>\n 5\n </td>\n <td>\n Ictus\n </td>\n <td>\n metformine, insuline\n </td>\n <td>\n clopidogrelt, amoxiciline-clavulanic\n </td>\n </tr>\n <tr>\n <td>\n DD3\n </td>\n <td>\n P,T\n </td>\n <td>\n 80–85\n </td>\n <td>\n F\n </td>\n <td>\n Yes\n </td>\n <td>\n –\n </td>\n <td>\n Yes\n </td>\n <td>\n –\n </td>\n <td>\n 1.5\n </td>\n <td>\n 4\n </td>\n <td>\n 5\n </td>\n <td>\n CVA\n </td>\n <td>\n bisoprolol,torasemide, lorazepam, sertralin, simvastatin\n </td>\n <td>\n –\n </td>\n </tr>\n <tr>\n <td>\n DD4\n </td>\n <td>\n T\n </td>\n <td>\n 75–80\n </td>\n <td>\n M\n </td>\n <td>\n Yes\n </td>\n <td>\n Yes\n </td>\n <td>\n Yes\n </td>\n <td>\n –\n </td>\n <td>\n 1.8\n </td>\n <td>\n 4\n </td>\n <td>\n 4\n </td>\n <td>\n Trauma\n </td>\n <td>\n Triflusal;enalapril; Metformin; Gliclazide; Ezetimibe; Allopurinol; Glucosamine; Tenoxicam; Omeprazole\n </td>\n <td>\n manitol, actocortine, noradrenaline,\n </td>\n </tr>\n <tr>\n <td>\n DD5\n </td>\n <td>\n T\n </td>\n <td>\n 55–60\n </td>\n <td>\n M\n </td>\n <td>\n Yes\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n 1.56\n </td>\n <td>\n 2\n </td>\n <td>\n –\n </td>\n <td>\n Cardiac event\n </td>\n <td>\n Losartan, Atorvastatin, fenofibrate\n </td>\n <td>\n propofol, atropine, midazolam, noradrenaline\n </td>\n </tr>\n <tr>\n <td>\n DD6\n </td>\n <td>\n P\n </td>\n <td>\n 45–50\n </td>\n <td>\n M\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n Bone cyst\n </td>\n <td>\n 3.41\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n PTE\n </td>\n <td>\n oxcarbazepine, diazepam, Celecoxib.\n </td>\n <td>\n adrenaline\n </td>\n </tr>\n <tr>\n <td>\n DD7\n </td>\n <td>\n P\n </td>\n <td>\n 70–75\n </td>\n <td>\n F\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n Yes\n </td>\n <td>\n osteoporosis\n </td>\n <td>\n 0.73\n </td>\n <td>\n 3\n </td>\n <td>\n 2\n </td>\n <td>\n Ictus\n </td>\n <td>\n Calcium\n </td>\n <td>\n noradrenaline\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"3\">\n \n Stage 1: LTC vs. no LTC\n <sup>\n a\n </sup>\n \n </td>\n <td colspan=\"3\">\n \n Stage 2: formal vs. informal LTC\n <sup>\n b\n </sup>\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n Odds ratio\n \n </td>\n <td>\n \n 95% confidence interval\n \n </td>\n <td>\n \n \n P\n \n -value\n \n </td>\n <td>\n \n Odds ratio\n \n </td>\n <td>\n \n 95% confidence interval\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 colspan=\"8\">\n Predisposing factors\n </td>\n </tr>\n <tr>\n <td>\n Age in years\n </td>\n <td>\n </td>\n <td>\n 1.15\n </td>\n <td>\n [1.09; 1.21]\n </td>\n <td>\n \n < 0.0001\n \n </td>\n <td>\n 1.11\n </td>\n <td>\n [1.01; 1.23]\n </td>\n <td>\n \n 0.0350\n \n </td>\n </tr>\n <tr>\n <td>\n Sex (ref: male)\n </td>\n <td>\n female\n </td>\n <td>\n 2.14\n </td>\n <td>\n [1.16; 3.92]\n </td>\n <td>\n \n 0.0143\n \n </td>\n <td>\n 2.51\n </td>\n <td>\n [0.84; 7.53]\n </td>\n <td>\n 0.1000\n </td>\n </tr>\n <tr>\n <td>\n Education (ref: low)\n </td>\n <td>\n middle\n </td>\n <td>\n 1.34\n </td>\n <td>\n [0.67; 2.70]\n </td>\n <td>\n 0.4131\n </td>\n <td>\n 0.68\n </td>\n <td>\n [0.21; 2.25]\n </td>\n <td>\n 0.5291\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n high\n </td>\n <td>\n 1.50\n </td>\n <td>\n [0.59; 3.77]\n </td>\n <td>\n 0.3941\n </td>\n <td>\n 0.44\n </td>\n <td>\n [0.07; 2.91]\n </td>\n <td>\n 0.3970\n </td>\n </tr>\n <tr>\n <td colspan=\"8\">\n Enabling factors\n </td>\n </tr>\n <tr>\n <td>\n Living arrangement (ref: not alone)\n </td>\n <td>\n alone\n </td>\n <td>\n 1.41\n </td>\n <td>\n [0.75; 2.68]\n </td>\n <td>\n 0.2876\n </td>\n <td>\n 0.67\n </td>\n <td>\n [0.22; 1.97]\n </td>\n <td>\n 0.4616\n </td>\n </tr>\n <tr>\n <td>\n Per capita income/ month (ref: < 875 €)\n </td>\n <td>\n 875–1124 €\n </td>\n <td>\n 1.06\n </td>\n <td>\n [0.52; 2.17]\n </td>\n <td>\n 0.8776\n </td>\n <td>\n 1.17\n </td>\n <td>\n [0.36; 3.81]\n </td>\n <td>\n 0.7997\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1125–1374 €\n </td>\n <td>\n 0.60\n </td>\n <td>\n [0.27; 1.30]\n </td>\n <td>\n 0.1905\n </td>\n <td>\n 1.24\n </td>\n <td>\n [0.34; 4.54]\n </td>\n <td>\n 0.7415\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n ≥ 1375 €\n </td>\n <td>\n 0.32\n </td>\n <td>\n [0.14; 0.78]\n </td>\n <td>\n \n 0.0117\n \n </td>\n <td>\n 1.38\n </td>\n <td>\n [0.27; 7.15]\n </td>\n <td>\n 0.6989\n </td>\n </tr>\n <tr>\n <td colspan=\"8\">\n Need factors\n </td>\n </tr>\n <tr>\n <td>\n Multimorbidity in no of chronic conditions\n </td>\n <td>\n </td>\n <td>\n 1.32\n </td>\n <td>\n [1.09; 1.60]\n </td>\n <td>\n \n 0.0045\n \n </td>\n <td>\n 1.11\n </td>\n <td>\n [0.80; 1.55]\n </td>\n <td>\n 0.5300\n </td>\n </tr>\n <tr>\n <td>\n Disability score (HAQ-DI)\n </td>\n <td>\n </td>\n <td>\n 5.82\n </td>\n <td>\n [2.83; 11.95]\n </td>\n <td>\n \n < 0.0001\n \n </td>\n <td>\n 0.69\n </td>\n <td>\n [0.24; 1.99]\n </td>\n <td>\n 0.4959\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Variable\n \n </td>\n <td>\n \n Non-thalassemic\n \n </td>\n <td>\n \n Thalassemic\n \n </td>\n <td>\n \n P-value\n <sup>\n a\n </sup>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"4\">\n Gender (n)\n </td>\n </tr>\n <tr>\n <td>\n Females\n </td>\n <td>\n 16\n </td>\n <td>\n 15\n </td>\n <td rowspan=\"3\">\n 0.515\n </td>\n </tr>\n <tr>\n <td>\n Males\n </td>\n <td>\n 23\n </td>\n <td>\n 29\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 39\n </td>\n <td>\n 44\n </td>\n </tr>\n <tr>\n <td>\n Age (mean ± SD)\n <sup>\n b\n </sup>\n </td>\n <td>\n 24.59 ± 8.165\n </td>\n <td>\n 23.41 ±7.916\n </td>\n <td>\n 0.506\n </td>\n </tr>\n <tr>\n <td>\n Hb, g/dl (mean ± SD)\n <sup>\n b\n </sup>\n </td>\n <td>\n 14.5 ± 1.42\n </td>\n <td>\n 7.8 ± 0.71\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n EPO, ng/ml (mean ± SD)\n <sup>\n b\n </sup>\n </td>\n <td>\n 137.7 ± 81.5\n </td>\n <td>\n 638.4 ± 272.3\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n Estrogen or testosterone, ng/ml (Mean ± SD)\n <sup>\n b\n </sup>\n </td>\n <td>\n 2.7 ± 0.9\n </td>\n <td>\n 0.63 ± 0.44\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n OPG, pg/ml (mean ± SD)\n <sup>\n b\n </sup>\n </td>\n <td>\n 3931.2 ± 479.8\n </td>\n <td>\n 3370 ± 1142.4\n </td>\n <td>\n 0.004\n </td>\n </tr>\n <tr>\n <td>\n RANKL, pg/ml (mean ± SD)\n <sup>\n b\n </sup>\n </td>\n <td>\n 2621.9 ± 578.9\n </td>\n <td>\n 4980.9 ± 1313.6\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n RANKL/OPG ratio (mean ± SD)\n <sup>\n b\n </sup>\n </td>\n <td>\n 0.7 ± 0.22\n </td>\n <td>\n 1.66 ± 0.85\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n P1NP, pg/ml (mean ± SD)\n <sup>\n b\n </sup>\n </td>\n <td>\n 269.4 ± 127.7\n </td>\n <td>\n 64.4 ± 52\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n CTX, pg/ml (mean ± SD)\n <sup>\n b\n </sup>\n </td>\n <td>\n 185.9 ± 53.6\n </td>\n <td>\n 459.2 ± 120.1\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 </td>\n <td>\n \n Participants (\n \n N\n \n = 134)\n \n </td>\n <td>\n \n Non-participants (\n \n N\n \n = 90)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age (mean, SD)\n </td>\n <td>\n 7.5 ± 3.46\n </td>\n <td>\n 8.23 ± 3.80\n <sup>\n a\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n Gender (% girls)\n </td>\n <td>\n 61.2\n </td>\n <td>\n 60.0\n <sup>\n a\n </sup>\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n Referred to study by:\n </td>\n </tr>\n <tr>\n <td>\n - GP (incident case), (n, %)\n </td>\n <td>\n 22 (17%)\n </td>\n <td>\n 22 (24%)\n </td>\n </tr>\n <tr>\n <td>\n - Pediatrician (incident case), (n, %)\n </td>\n <td>\n 6 (4%)\n </td>\n <td>\n 5 (6%)\n </td>\n </tr>\n <tr>\n <td>\n - GP (prevalent case), (n, %)\n </td>\n <td>\n 106 (79%)\n </td>\n <td>\n 63 (70%)\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n Chronicity of symptoms before randomization\n <sup>\n b, c\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n -Yes (n, %)\n </td>\n <td>\n 67 (65%)\n </td>\n <td>\n 16 (43%)\n </td>\n </tr>\n <tr>\n <td>\n -No (n, %)\n </td>\n <td>\n 36 (35%)\n </td>\n <td>\n 21 (57%)\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 circBase ID (alias)\n \n </td>\n <td>\n \n Host gene\n \n </td>\n <td>\n \n Putative function\n \n </td>\n <td>\n \n Upregulated/downregulated\n \n </td>\n <td>\n \n miRNA sponge\n \n </td>\n <td>\n \n Target gene/pathway\n \n </td>\n <td>\n \n Reference\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n hsa_circ_0000523\n </td>\n <td>\n METTL3\n </td>\n <td>\n –\n </td>\n <td>\n Downregulated\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n [65]\n </td>\n </tr>\n <tr>\n <td>\n hsa_circ_0001346\n </td>\n <td>\n RNF13\n </td>\n <td>\n –\n </td>\n <td>\n Downregulated\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n [65]\n </td>\n </tr>\n <tr>\n <td>\n hsa_circ_0001793\n </td>\n <td>\n IKBKB\n </td>\n <td>\n –\n </td>\n <td>\n Upregulated\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n [65]\n </td>\n </tr>\n <tr>\n <td>\n hsa_circ_0001946\n </td>\n <td>\n CDR1\n </td>\n <td>\n –\n </td>\n <td>\n Upregulated\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n [65]\n </td>\n </tr>\n <tr>\n <td>\n hsa_circ_0001946\n </td>\n <td>\n CDR1\n </td>\n <td>\n miRNA sponge\n </td>\n <td>\n Upregulated\n </td>\n <td>\n miR-7\n </td>\n <td>\n EGFR, RAF1\n </td>\n <td>\n [71]\n </td>\n </tr>\n <tr>\n <td>\n hsa_circ_0000069\n </td>\n <td>\n STIL\n </td>\n <td>\n –\n </td>\n <td>\n Upregulated\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n [74]\n </td>\n </tr>\n <tr>\n <td>\n circ-CCDC66\n </td>\n <td>\n CCDC66\n </td>\n <td>\n miRNA sponge\n </td>\n <td>\n Upregulated\n </td>\n <td>\n miR-33b, miR-93\n </td>\n <td>\n –\n </td>\n <td>\n [80]\n </td>\n </tr>\n <tr>\n <td>\n hsa_circ_001569\n </td>\n <td>\n ABCC1\n </td>\n <td>\n miRNA sponge\n </td>\n <td>\n Upregulated\n </td>\n <td>\n miR-145\n </td>\n <td>\n E2F5, BAG4, FMNL2\n </td>\n <td>\n [72]\n </td>\n </tr>\n <tr>\n <td>\n circ-ITCH\n </td>\n <td>\n ITCH\n </td>\n <td>\n miRNA sponge\n </td>\n <td>\n Downregulated\n </td>\n <td>\n miR-7, miR-20a, miR-214\n </td>\n <td>\n Wnt/β-catenin\n </td>\n <td>\n [67]\n </td>\n </tr>\n <tr>\n <td>\n hsa_circ_001988\n </td>\n <td>\n FBXW7\n </td>\n <td>\n –\n </td>\n <td>\n Downregulated\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n [68]\n </td>\n </tr>\n <tr>\n <td>\n circ-BANP\n </td>\n <td>\n BANP\n </td>\n <td>\n –\n </td>\n <td>\n Upregulated\n </td>\n <td>\n –\n </td>\n <td>\n p-Akt\n </td>\n <td>\n [75]\n </td>\n </tr>\n <tr>\n <td>\n circ-HIPK3\n </td>\n <td>\n HIPK3\n </td>\n <td>\n miRNA sponge\n </td>\n <td>\n Upregulated\n </td>\n <td>\n miR-7\n </td>\n <td>\n FAK, IGF1R, EGFR, YY1\n </td>\n <td>\n [76]\n </td>\n </tr>\n <tr>\n <td>\n hsa_circ_0001649\n </td>\n <td>\n SHPRH\n </td>\n <td>\n –\n </td>\n <td>\n Downregulated\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n [69]\n </td>\n </tr>\n <tr>\n <td>\n hsa_circ_0007534\n </td>\n <td>\n DDX42\n </td>\n <td>\n –\n </td>\n <td>\n Upregulated\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n [77]\n </td>\n </tr>\n <tr>\n <td>\n hsa_circ_0003906\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n Downregulated\n </td>\n <td>\n –\n </td>\n <td>\n –\n </td>\n <td>\n [70]\n </td>\n </tr>\n <tr>\n <td>\n hsa_circ_000984\n </td>\n <td>\n CDK6\n </td>\n <td>\n miRNA sponge\n </td>\n <td>\n Upregulated\n </td>\n <td>\n miR-106b\n </td>\n <td>\n CDK6\n </td>\n <td>\n [78]\n </td>\n </tr>\n <tr>\n <td>\n hsa_circ_0020397\n </td>\n <td>\n DOCK1\n </td>\n <td>\n miRNA sponge\n </td>\n <td>\n Upregulated\n </td>\n <td>\n miR-138\n </td>\n <td>\n TERT, PD-L1\n </td>\n <td>\n [79]\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 Factors Influencing the Transfer of Animals to Other Organizations?\n \n </td>\n <td>\n \n Never/Not Applicable\n \n </td>\n <td>\n \n Sometimes\n \n </td>\n <td>\n \n Frequently\n \n </td>\n <td>\n \n Always\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n A request for animals from a rescue group or other welfare agency\n </td>\n <td>\n 50% (3/6)\n </td>\n <td>\n 17% (1/6)\n </td>\n <td>\n 0%\n </td>\n <td>\n 33% (2/6)\n </td>\n </tr>\n <tr>\n <td>\n To increase an animal’s chance of adoption\n </td>\n <td>\n 17% (1/6)\n </td>\n <td>\n 0%\n </td>\n <td>\n 17% (1/6)\n </td>\n <td>\n 67% (4/6)\n </td>\n </tr>\n <tr>\n <td>\n Shelter is at full capacity\n </td>\n <td>\n 33% (2/6)\n </td>\n <td>\n 50% (3/6)\n </td>\n <td>\n 17% (1/6)\n </td>\n <td>\n 0%\n </td>\n </tr>\n <tr>\n <td>\n Shelter has an existing relationship with specific breed organization\n </td>\n <td>\n 67% (4/6)\n </td>\n <td>\n 17% (1/6)\n </td>\n <td>\n 0%\n </td>\n <td>\n 17% (1/6)\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 colspan=\"9\">\n \n Concentration of Positive Feedstuff Samples (ppb) N = 40\n \n </td>\n </tr>\n <tr>\n <td>\n \n Detected Analyte\n \n </td>\n <td>\n \n \n n\n \n (pos)\n \n </td>\n <td>\n \n Incidence (%)\n \n </td>\n <td>\n \n >LOQ (%)\n \n </td>\n <td>\n \n Min (ppb)\n \n </td>\n <td>\n \n Max (ppb)\n \n </td>\n <td>\n \n Mean (ppb)\n \n </td>\n <td>\n \n LOD (ppb)\n \n </td>\n <td>\n \n LOQ (ppb)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n AFB\n <sub>\n 1\n </sub>\n </td>\n <td>\n 19\n </td>\n <td>\n 47.5\n </td>\n <td>\n 57.9\n </td>\n <td>\n <loq>\n <td>\n 3.33\n </td>\n <td>\n 0.74\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.06\n </td>\n </loq>\n </td>\n </tr>\n <tr>\n <td>\n AFB\n <sub>\n 2\n </sub>\n </td>\n <td>\n 37\n </td>\n <td>\n 92.5\n </td>\n <td>\n 97.3\n </td>\n <td>\n <loq>\n <td>\n 23.88\n </td>\n <td>\n 3.06\n </td>\n <td>\n 0.05\n </td>\n <td>\n 0.16\n </td>\n </loq>\n </td>\n </tr>\n <tr>\n <td>\n AFG\n <sub>\n 1\n </sub>\n </td>\n <td>\n 22\n </td>\n <td>\n 55.0\n </td>\n <td>\n 72.7\n </td>\n <td>\n <loq>\n <td>\n 19.96\n </td>\n <td>\n 2.55\n </td>\n <td>\n 0.05\n </td>\n <td>\n 0.15\n </td>\n </loq>\n </td>\n </tr>\n <tr>\n <td>\n AFG\n <sub>\n 2\n </sub>\n </td>\n <td>\n 40\n </td>\n <td>\n 100.0\n </td>\n <td>\n 97.5\n </td>\n <td>\n <loq>\n <td>\n 116.04\n </td>\n <td>\n 41.27\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.19\n </td>\n </loq>\n </td>\n </tr>\n <tr>\n <td>\n α-ZEL\n </td>\n <td>\n 40\n </td>\n <td>\n 100.0\n </td>\n <td>\n 100.0\n </td>\n <td>\n 0.975\n </td>\n <td>\n 13.24\n </td>\n <td>\n 4.84\n </td>\n <td>\n 0.19\n </td>\n <td>\n 0.63\n </td>\n </tr>\n <tr>\n <td>\n β-ZEL\n </td>\n <td>\n 40\n </td>\n <td>\n 100.0\n </td>\n <td>\n 100.0\n </td>\n <td>\n 0.727\n </td>\n <td>\n 4.71\n </td>\n <td>\n 2.40\n </td>\n <td>\n 0.19\n </td>\n <td>\n 0.64\n </td>\n </tr>\n <tr>\n <td>\n ZEN\n </td>\n <td>\n 24\n </td>\n <td>\n 60.0\n </td>\n <td>\n 87.5\n </td>\n <td>\n <loq>\n <td>\n 28.04\n </td>\n <td>\n 2.84\n </td>\n <td>\n 0.04\n </td>\n <td>\n 0.12\n </td>\n </loq>\n </td>\n </tr>\n <tr>\n <td>\n FB\n <sub>\n 1\n </sub>\n </td>\n <td>\n 34\n </td>\n <td>\n 85.0\n </td>\n <td>\n 64.7\n </td>\n <td>\n <loq>\n <td>\n 1389.62\n </td>\n <td>\n 372.96\n </td>\n <td>\n 3.46\n </td>\n <td>\n 11.52\n </td>\n </loq>\n </td>\n </tr>\n <tr>\n <td>\n ADONs\n </td>\n <td>\n 12\n </td>\n <td>\n 30.0\n </td>\n <td>\n 75.0\n </td>\n <td>\n <loq>\n <td>\n 9.51\n </td>\n <td>\n 2.20\n </td>\n <td>\n 0.08\n </td>\n <td>\n 0.27\n </td>\n </loq>\n </td>\n </tr>\n <tr>\n <td>\n BEA\n </td>\n <td>\n 36\n </td>\n <td>\n 90.0\n </td>\n <td>\n 50.0\n </td>\n <td>\n <loq>\n <td>\n 55.99\n </td>\n <td>\n 8.81\n </td>\n <td>\n 0.66\n </td>\n <td>\n 2.19\n </td>\n </loq>\n </td>\n </tr>\n <tr>\n <td>\n DON\n </td>\n <td>\n 24\n </td>\n <td>\n 60.0\n </td>\n <td>\n 83.3\n </td>\n <td>\n <loq>\n <td>\n 81.61\n </td>\n <td>\n 20.40\n </td>\n <td>\n 0.49\n </td>\n <td>\n 1.62\n </td>\n </loq>\n </td>\n </tr>\n <tr>\n <td>\n HT-2\n </td>\n <td>\n 35\n </td>\n <td>\n 87.5\n </td>\n <td>\n 94.3\n </td>\n <td>\n <loq>\n <td>\n 312.95\n </td>\n <td>\n 35.11\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.21\n </td>\n </loq>\n </td>\n </tr>\n <tr>\n <td>\n OTA\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n ND\n </td>\n <td>\n ND\n </td>\n <td>\n ND\n </td>\n <td>\n ND\n </td>\n <td>\n 0.08\n </td>\n <td>\n 0.26\n </td>\n </tr>\n <tr>\n <td>\n CIT\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n ND\n </td>\n <td>\n ND\n </td>\n <td>\n ND\n </td>\n <td>\n ND\n </td>\n <td>\n 0.13\n </td>\n <td>\n 0.42\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 Author\n \n </td>\n <td>\n \n Target Lesion\n \n </td>\n <td>\n \n Animal Model\n \n </td>\n <td>\n \n Vector or Method\n \n </td>\n <td>\n \n Treatment Gene\n \n </td>\n <td>\n \n Result\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Shiotani [19,21]Flint [20,35]Nakagawa [22]\n </td>\n <td>\n Laryngeal muscle atrophyNerve endplate\n </td>\n <td>\n RLN\n <sup>\n 1\n </sup>\n transection and anastomosis\n </td>\n <td>\n muscle-specific non-viral vector\n </td>\n <td>\n \n hIGF-1\n \n </td>\n <td>\n Increases in muscle fiber diameter, motor endplate length, and PEC\n <sup>\n 4\n </sup>\n Normalization of MHC\n <sup>\n 5\n </sup>\n composition\n </td>\n </tr>\n <tr>\n <td>\n Saito [17]\n </td>\n <td>\n Motoneuron loss\n </td>\n <td>\n Vagal nerve avulsion\n </td>\n <td>\n AdV\n <sup>\n 2\n </sup>\n </td>\n <td>\n \n hGDNF\n \n </td>\n <td>\n Prevention in motoneuron loss in NA\n <sup>\n 6\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n Moro [18]\n </td>\n <td>\n Motoneuron loss\n </td>\n <td>\n Vagal nerve avulsion\n </td>\n <td>\n AdV\n <sup>\n 2\n </sup>\n </td>\n <td>\n \n hBDNF\n \n \n hGDNF\n \n </td>\n <td>\n Synergistic prevention of motoneuron loss in NA\n </td>\n </tr>\n <tr>\n <td>\n Araki [16]\n </td>\n <td>\n Neurofunctional recovery Vocal fold motion\n </td>\n <td>\n RLN\n <sup>\n 1\n </sup>\n crush\n </td>\n <td>\n AdV\n <sup>\n 2\n </sup>\n </td>\n <td>\n \n hGDNF\n \n </td>\n <td>\n Improved MNCV\n <sup>\n 7\n </sup>\n Larger axonal diameterImproved remyelinationBetter recovery of vocal fold motion\n </td>\n </tr>\n <tr>\n <td>\n Rubin [36]\n </td>\n <td>\n Nerve endplateVocal fold motion\n </td>\n <td>\n RLN\n <sup>\n 1\n </sup>\n crush\n </td>\n <td>\n AAV\n <sup>\n 3\n </sup>\n </td>\n <td>\n \n IGF-1\n \n </td>\n <td>\n Increases in PEC\n <sup>\n 4\n </sup>\n Better recovery of vocal fold motion\n </td>\n </tr>\n <tr>\n <td>\n Sakowski [37]\n </td>\n <td>\n Nerve endplateVocal fold motion\n </td>\n <td>\n RLN\n <sup>\n 1\n </sup>\n crush\n </td>\n <td>\n AdV\n <sup>\n 2\n </sup>\n </td>\n <td>\n \n VEGF\n \n </td>\n <td>\n Increases in PEC\n <sup>\n 4\n </sup>\n Better recovery of vocal fold motion\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 Window 1\n \n </td>\n <td>\n \n Window 2\n \n </td>\n <td>\n \n Targets\n \n <sup>\n a\n </sup>\n \n \n </td>\n <td>\n \n Predictors\n \n <sup>\n b\n </sup>\n \n \n </td>\n <td>\n \n Filtered targets\n \n <sup>\n c\n </sup>\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Region 1\n </td>\n <td>\n Chr2: 8-14Mb\n </td>\n <td>\n —\n </td>\n <td>\n 70,712\n </td>\n <td>\n 6,053\n </td>\n <td>\n —\n </td>\n </tr>\n <tr>\n <td>\n Regionpair 1\n </td>\n <td>\n Chr1: 10-12Mb\n </td>\n <td>\n Chr3: 10-12Mb\n </td>\n <td>\n 29,133\n </td>\n <td>\n 6,245\n </td>\n <td>\n 20,239\n </td>\n </tr>\n <tr>\n <td>\n Regionpair 2\n </td>\n <td>\n Chr2: 10-12Mb\n </td>\n <td>\n Chr4: 10-12Mb\n </td>\n <td>\n 23,751\n </td>\n <td>\n 5,302\n </td>\n <td>\n 15,887\n </td>\n </tr>\n <tr>\n <td>\n Regionpair 3\n </td>\n <td>\n Chr2: 10-12Mb\n </td>\n <td>\n Chr3: 10-12Mb\n </td>\n <td>\n 23,751\n </td>\n <td>\n 5,212\n </td>\n <td>\n 15,884\n </td>\n </tr>\n <tr>\n <td>\n Genome\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 1,486,942\n </td>\n <td>\n 154,298\n </td>\n <td>\n 1,229,012\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 rowspan=\"2\">\n </td>\n <td colspan=\"2\">\n \n Gray Matter\n \n </td>\n <td colspan=\"2\">\n \n White Matter\n \n </td>\n <td colspan=\"2\">\n \n CSF\n \n </td>\n <td colspan=\"2\">\n \n MD\n \n </td>\n <td colspan=\"2\">\n \n axial\n \n </td>\n <td colspan=\"2\">\n \n FA\n \n </td>\n <td colspan=\"2\">\n \n radial\n \n </td>\n </tr>\n <tr>\n <td>\n \n Corr (r)\n \n </td>\n <td>\n \n N (%)\n \n </td>\n <td>\n \n Corr (r)\n \n </td>\n <td>\n \n N (%)\n \n </td>\n <td>\n \n Corr (r)\n \n </td>\n <td>\n \n N (%)\n \n </td>\n <td>\n \n Corr (r)\n \n </td>\n <td>\n \n N (%)\n \n </td>\n <td>\n \n Corr (r)\n \n </td>\n <td>\n \n N (%)\n \n </td>\n <td>\n \n Corr (r)\n \n </td>\n <td>\n \n N (%)\n \n </td>\n <td>\n \n Corr (r)\n \n </td>\n <td>\n \n N (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n CSF\n </td>\n <td>\n −0.32\n </td>\n <td>\n 92%\n </td>\n <td>\n −0.11\n </td>\n <td>\n 68%\n </td>\n <td>\n *0.42\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.94\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.82\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.25\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.98\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Gray matter\n </td>\n <td>\n −0.23\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.23\n </td>\n <td>\n 99%\n </td>\n <td>\n *0.49\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.94\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.79\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.54\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.98\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n White matter\n </td>\n <td>\n 0.24\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.28\n </td>\n <td>\n 100%\n </td>\n <td>\n 0.22\n </td>\n <td>\n 91%\n </td>\n <td>\n 0*.80\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.37\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.69\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.92\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Left Hippocampus\n </td>\n <td>\n −0.35\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.06\n </td>\n <td>\n 99%\n </td>\n <td>\n *0.41\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.94\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.80\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.41\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.98\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Right Hippocampus\n </td>\n <td>\n −0.37\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.04\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.42\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.93\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.80\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.41\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.98\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Left MOG middle occipital gyrus\n </td>\n <td>\n *−0.26\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.37\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.70\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.96\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.83\n </td>\n <td>\n 100%\n </td>\n <td>\n −*0.60\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.99\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Right MOG middle occipital gyrus\n </td>\n <td>\n −0.28\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.33\n </td>\n <td>\n 99%\n </td>\n <td>\n *0.69\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.93\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.77\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.61\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.98\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Left PCgG posterior cingulate gyrus\n </td>\n <td>\n *−0.27\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.21\n </td>\n <td>\n 87%\n </td>\n <td>\n *0.47\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.93\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.77\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.58\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.98\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Right PCgG posterior cingulate gyrus\n </td>\n <td>\n *−0.24\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.22\n </td>\n <td>\n 95%\n </td>\n <td>\n *0.48\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.93\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.76\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.61\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.98\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Left Cerebellum White Matter\n </td>\n <td>\n 0.05\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.07\n </td>\n <td>\n 100%\n </td>\n <td>\n 0.05\n </td>\n <td>\n 84%\n </td>\n <td>\n *0.82\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.51\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.54\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.9249\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Right Cerebellum White Matter\n </td>\n <td>\n 0.05\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.07\n </td>\n <td>\n 100%\n </td>\n <td>\n 0.05\n </td>\n <td>\n 82%\n </td>\n <td>\n *0.81\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.49\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.55\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.92\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Left SPL superior parietal lobule\n </td>\n <td>\n *−0.43\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.37\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.75\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.98\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.90\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.64\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.9940\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Right SPL superior parietal lobule\n </td>\n <td>\n *−0.47\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.36\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.76\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.97\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.89\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.64\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.9930\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Left Pallidum\n </td>\n <td>\n 0.19\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.19\n </td>\n <td>\n 100%\n </td>\n <td>\n 0.11\n </td>\n <td>\n 89%\n </td>\n <td>\n *0.79\n </td>\n <td>\n 100%\n </td>\n <td>\n 0.28\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.78\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.9349\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Right Pallidum\n </td>\n <td>\n 0.17\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.17\n </td>\n <td>\n 100%\n </td>\n <td>\n 0.07\n </td>\n <td>\n 99%\n </td>\n <td>\n *0.78\n </td>\n <td>\n 100%\n </td>\n <td>\n 0.21\n </td>\n <td>\n 100%\n </td>\n <td>\n *−0.80\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.9270\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Left PP planum polare\n </td>\n <td>\n *−0.46\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.04\n </td>\n <td>\n 95%\n </td>\n <td>\n *0.49\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.96\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.87\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.25\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.9819\n </td>\n <td>\n 100%\n </td>\n </tr>\n <tr>\n <td>\n Right PP planum polare\n </td>\n <td>\n *−0.49\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.02\n </td>\n <td>\n 98%\n </td>\n <td>\n *0.50\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.95\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.87\n </td>\n <td>\n 100%\n </td>\n <td>\n −0.22\n </td>\n <td>\n 100%\n </td>\n <td>\n *0.9802\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>\n \n Decimal places\n \n </td>\n <td>\n \n All percents% (number)\n \n </td>\n <td>\n \n Excluding digitpreferences% (number)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Too few\n </td>\n <td>\n 12 (4,981)\n </td>\n <td>\n 10 (3,574)\n </td>\n </tr>\n <tr>\n <td>\n Just right\n </td>\n <td>\n 55 (23,872)\n </td>\n <td>\n 50 (17,408)\n </td>\n </tr>\n <tr>\n <td>\n Too many\n </td>\n <td>\n 33 (14,266)\n </td>\n <td>\n 40 (14,047)\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 100 (43,119)\n </td>\n <td>\n 100 (35,029)\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>\n \n Diameter\n \n </td>\n <td>\n \n Deflection\n \n </td>\n <td>\n \n Mean\n \n </td>\n <td>\n \n SD\n \n </td>\n <td>\n \n Min\n \n </td>\n <td>\n \n Mdn\n \n </td>\n <td>\n \n Max\n \n </td>\n <td>\n \n Tukey *\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 1\n </td>\n <td>\n 1.5 mm\n </td>\n <td>\n 0.1 mm\n </td>\n <td>\n 33.28\n </td>\n <td>\n 2.92\n </td>\n <td>\n 29.28\n </td>\n <td>\n 34.16\n </td>\n <td>\n 36.86\n </td>\n <td>\n A\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 1.5 mm\n </td>\n <td>\n 0.1 mm\n </td>\n <td>\n 34.69\n </td>\n <td>\n 9.50\n </td>\n <td>\n 21.13\n </td>\n <td>\n 33.38\n </td>\n <td>\n 53.70\n </td>\n <td>\n A\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 1.5 mm\n </td>\n <td>\n 0.1 mm\n </td>\n <td>\n 31.53\n </td>\n <td>\n 3.86\n </td>\n <td>\n 24.34\n </td>\n <td>\n 31.81\n </td>\n <td>\n 36.21\n </td>\n <td>\n A\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n 1.5 mm\n </td>\n <td>\n 0.1 mm\n </td>\n <td>\n 36.38\n </td>\n <td>\n 7.01\n </td>\n <td>\n 27.67\n </td>\n <td>\n 36.00\n </td>\n <td>\n 48.65\n </td>\n <td>\n A\n </td>\n </tr>\n <tr>\n <td>\n 5\n </td>\n <td>\n 2.0 mm\n </td>\n <td>\n 0.1 mm\n </td>\n <td>\n 58.00\n </td>\n <td>\n 7.17\n </td>\n <td>\n 43.45\n </td>\n <td>\n 57.99\n </td>\n <td>\n 70.73\n </td>\n <td>\n B\n </td>\n </tr>\n <tr>\n <td>\n 6\n </td>\n <td>\n 2.0 mm\n </td>\n <td>\n 0.1 mm\n </td>\n <td>\n 53.07\n </td>\n <td>\n 2.92\n </td>\n <td>\n 48.84\n </td>\n <td>\n 52.71\n </td>\n <td>\n 58.16\n </td>\n <td>\n B\n </td>\n </tr>\n <tr>\n <td>\n 7\n </td>\n <td>\n 2.0 mm\n </td>\n <td>\n 0.1 mm\n </td>\n <td>\n 55.21\n </td>\n <td>\n 8.58\n </td>\n <td>\n 38.58\n </td>\n <td>\n 53.63\n </td>\n <td>\n 69.32\n </td>\n <td>\n B\n </td>\n </tr>\n <tr>\n <td>\n 8\n </td>\n <td>\n 1.5 mm\n </td>\n <td>\n 0.2 mm\n </td>\n <td>\n 66.57\n </td>\n <td>\n 5.85\n </td>\n <td>\n 58.56\n </td>\n <td>\n 68.32\n </td>\n <td>\n 73.73\n </td>\n <td>\n B\n </td>\n </tr>\n <tr>\n <td>\n 9\n </td>\n <td>\n 1.5 mm\n </td>\n <td>\n 0.2 mm\n </td>\n <td>\n 64.71\n </td>\n <td>\n 17.71\n </td>\n <td>\n 39.48\n </td>\n <td>\n 62.29\n </td>\n <td>\n 100.42\n </td>\n <td>\n B\n </td>\n </tr>\n <tr>\n <td>\n 10\n </td>\n <td>\n 1.5 mm\n </td>\n <td>\n 0.2 mm\n </td>\n <td>\n 63.05\n </td>\n <td>\n 7.72\n </td>\n <td>\n 48.68\n </td>\n <td>\n 63.62\n </td>\n <td>\n 72.42\n </td>\n <td>\n B\n </td>\n </tr>\n <tr>\n <td>\n 11\n </td>\n <td>\n 1.5 mm\n </td>\n <td>\n 0.2 mm\n </td>\n <td>\n 67.87\n </td>\n <td>\n 13.06\n </td>\n <td>\n 51.66\n </td>\n <td>\n 67.19\n </td>\n <td>\n 90.44\n </td>\n <td>\n B\n </td>\n </tr>\n <tr>\n <td>\n 12\n </td>\n <td>\n 2.0 mm\n </td>\n <td>\n 0.2 mm\n </td>\n <td>\n 116.00\n </td>\n <td>\n 14.34\n </td>\n <td>\n 86.91\n </td>\n <td>\n 115.98\n </td>\n <td>\n 141.46\n </td>\n <td>\n C\n </td>\n </tr>\n <tr>\n <td>\n 13\n </td>\n <td>\n 2.0 mm\n </td>\n <td>\n 0.2 mm\n </td>\n <td>\n 106.15\n </td>\n <td>\n 5.84\n </td>\n <td>\n 97.68\n </td>\n <td>\n 105.41\n </td>\n <td>\n 116.31\n </td>\n <td>\n C\n </td>\n </tr>\n <tr>\n <td>\n 14\n </td>\n <td>\n 2.0 mm\n </td>\n <td>\n 0.2 mm\n </td>\n <td>\n 110.43\n </td>\n <td>\n 17.16\n </td>\n <td>\n 77.16\n </td>\n <td>\n 107.26\n </td>\n <td>\n 138.64\n </td>\n <td>\n C\n </td>\n </tr>\n <tr>\n <td>\n 15\n </td>\n <td>\n 1.5 mm\n </td>\n <td>\n Maximum load\n </td>\n <td>\n 428.03\n </td>\n <td>\n 24.29\n </td>\n <td>\n 393.61\n </td>\n <td>\n 424.80\n </td>\n <td>\n 468.61\n </td>\n <td>\n D\n </td>\n </tr>\n <tr>\n <td>\n 16\n </td>\n <td>\n 1.5 mm\n </td>\n <td>\n Maximum load\n </td>\n <td>\n 481.60\n </td>\n <td>\n 133.40\n </td>\n <td>\n 300.08\n </td>\n <td>\n 462.41\n </td>\n <td>\n 773.25\n </td>\n <td>\n D\n </td>\n </tr>\n <tr>\n <td>\n 17\n </td>\n <td>\n 1.5 mm\n </td>\n <td>\n Maximum load\n </td>\n <td>\n 405.89\n </td>\n <td>\n 45.53\n </td>\n <td>\n 306.68\n </td>\n <td>\n 408.58\n </td>\n <td>\n 464.25\n </td>\n <td>\n D\n </td>\n </tr>\n <tr>\n <td>\n 18\n </td>\n <td>\n 1.5 mm\n </td>\n <td>\n Maximum load\n </td>\n <td>\n 505.67\n </td>\n <td>\n 99.29\n </td>\n <td>\n 387.43\n </td>\n <td>\n 503.65\n </td>\n <td>\n 642.12\n </td>\n <td>\n D\n </td>\n </tr>\n <tr>\n <td>\n 19\n </td>\n <td>\n 2.0 mm\n </td>\n <td>\n Maximum load\n </td>\n <td>\n 747.16\n </td>\n <td>\n 90.98\n </td>\n <td>\n 573.60\n </td>\n <td>\n 739.06\n </td>\n <td>\n 919.52\n </td>\n <td>\n E\n </td>\n </tr>\n <tr>\n <td>\n 20\n </td>\n <td>\n 2.0 mm\n </td>\n <td>\n Maximum load\n </td>\n <td>\n 685.03\n </td>\n <td>\n 55.53\n </td>\n <td>\n 622.47\n </td>\n <td>\n 657.79\n </td>\n <td>\n 768.21\n </td>\n <td>\n E\n </td>\n </tr>\n <tr>\n <td>\n 21\n </td>\n <td>\n 2.0 mm\n </td>\n <td>\n Maximum load\n </td>\n <td>\n 711.78\n </td>\n <td>\n 106.73\n </td>\n <td>\n 462.97\n </td>\n <td>\n 717.64\n </td>\n <td>\n 873.41\n </td>\n <td>\n E\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 Organism/Sample Type\n \n </td>\n <td>\n \n Selected Sample(s)\n \n </td>\n <td>\n \n Year\n \n </td>\n <td>\n \n Reference\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Halophile microorganisms\n </td>\n <td>\n \n Haloferax volcanii\n \n </td>\n <td>\n 2006\n </td>\n <td>\n [19]\n </td>\n </tr>\n <tr>\n <td>\n Rat\n </td>\n <td>\n Spinal cords segment\n </td>\n <td>\n 2007\n </td>\n <td>\n [20]\n </td>\n </tr>\n <tr>\n <td rowspan=\"3\">\n Cell lines\n </td>\n <td>\n Neck squamous cell carcinoma cell lines (SCC-25; FaDu)\n </td>\n <td>\n 2007\n </td>\n <td>\n [22]\n </td>\n </tr>\n <tr>\n <td>\n MCF-7 cells\n </td>\n <td>\n 2009\n </td>\n <td>\n [21]\n </td>\n </tr>\n <tr>\n <td>\n Human neuroblastoma cells (SH-SY5Y cells)\n </td>\n <td>\n 2012\n </td>\n <td>\n [23]\n </td>\n </tr>\n <tr>\n <td rowspan=\"6\">\n Dinoflagellates\n </td>\n <td>\n \n Alexandrium\n \n sp.;\n \n Scrippsiella\n \n sp.\n </td>\n <td>\n 2008\n </td>\n <td>\n [24]\n </td>\n </tr>\n <tr>\n <td>\n \n Alexandrium\n \n \n catenella\n \n </td>\n <td>\n 2011\n </td>\n <td>\n [27]\n </td>\n </tr>\n <tr>\n <td>\n \n Alexandrium\n \n \n catenella\n \n (DH01)\n </td>\n <td>\n 2012\n </td>\n <td>\n [25]\n </td>\n </tr>\n <tr>\n <td>\n \n Lingulodinium\n \n sp.\n </td>\n <td>\n 2012\n </td>\n <td>\n [26]\n </td>\n </tr>\n <tr>\n <td>\n \n Prorocentrum donghaiense\n \n </td>\n <td>\n 2013\n </td>\n <td>\n [28]\n </td>\n </tr>\n <tr>\n <td>\n \n Alexandrium minutum\n \n (AMTK4; AL1TAB);\n \n Alexandrium tamarense\n \n (ATCI01; SP3B8-3);\n \n Gymnodinium catenatum\n \n (GCHK; GCEO)\n </td>\n <td>\n 2015\n </td>\n <td>\n [38]\n </td>\n </tr>\n <tr>\n <td>\n Mites\n </td>\n <td>\n \n Dermatophagoides pteronyssinus\n \n </td>\n <td>\n 2009\n </td>\n <td>\n [29]\n </td>\n </tr>\n <tr>\n <td>\n Plants\n </td>\n <td>\n \n Medicago truncatula\n \n tissues\n </td>\n <td>\n 2011\n </td>\n <td>\n [30]\n </td>\n </tr>\n <tr>\n <td rowspan=\"4\">\n Clinical samples\n </td>\n <td>\n Human heart tissue\n </td>\n <td>\n 2008\n </td>\n <td>\n [39]\n </td>\n </tr>\n <tr>\n <td>\n Caudal gland\n </td>\n <td>\n 2012\n </td>\n <td>\n [31]\n </td>\n </tr>\n <tr>\n <td>\n Non-cancerous liver tissues\n </td>\n <td>\n 2013\n </td>\n <td>\n [33]\n </td>\n </tr>\n <tr>\n <td>\n Heart biopsies\n </td>\n <td>\n 2015\n </td>\n <td>\n [32]\n </td>\n </tr>\n <tr>\n <td rowspan=\"3\">\n Marine animals\n </td>\n <td>\n \n Mytilus galloprovincialis\n \n (mussel);\n \n Paralichthys olivaceus\n \n (flounder);\n \n Nereis diversicolor\n \n (Polychaete)\n </td>\n <td>\n 2013\n </td>\n <td>\n [36]\n </td>\n </tr>\n <tr>\n <td>\n \n Haliotis diversicolor reeve\n \n </td>\n <td>\n 2013\n </td>\n <td>\n [34]\n </td>\n </tr>\n <tr>\n <td>\n \n Haliotis gigantean reeve\n \n ;\n \n Haliotis discus hannai lno\n \n </td>\n <td>\n 2015\n </td>\n <td>\n [35]\n </td>\n </tr>\n <tr>\n <td>\n Reef corals\n </td>\n <td>\n \n Acropora hyacinthus\n \n ;\n \n Acropora humilis\n \n ;\n \n Acropora muricata\n \n </td>\n <td>\n 2018\n </td>\n <td>\n [37]\n </td>\n </tr>\n <tr>\n <td>\n Dried seafood and dried tonic foods\n </td>\n <td>\n Dried Abalone slices; Dried Whelk slices; Dried Ganoderma; Dried Caterpillar fungus\n </td>\n <td>\n 2018\n </td>\n <td>\n This study\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Characteristic\n \n </td>\n <td>\n \n CSB+IFA(\n \n n\n \n = 115)\n \n </td>\n <td>\n \n CSB+UNIMMAP(\n \n n\n \n = 110)\n \n </td>\n <td>\n \n RUSF(\n \n n\n \n = 118)\n \n </td>\n <td>\n \n \n p\n \n <sup>\n 1\n </sup>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age at enrollment (years)\n </td>\n <td>\n 20.8 ± 4.4\n <sup>\n 2\n </sup>\n </td>\n <td>\n 20.6 ± 3.8\n </td>\n <td>\n 20.4 ± 4.7\n </td>\n <td>\n 0.79\n </td>\n </tr>\n <tr>\n <td>\n 16–17 (%)\n </td>\n <td>\n 19.1\n </td>\n <td>\n 13.6\n </td>\n <td>\n 26.2\n </td>\n <td>\n 0.15\n </td>\n </tr>\n <tr>\n <td>\n 18–21 (%)\n </td>\n <td>\n 52.2\n </td>\n <td>\n 58.2\n </td>\n <td>\n 44.1\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 22–29 (%)\n </td>\n <td>\n 19.1\n </td>\n <td>\n 23.6\n </td>\n <td>\n 22.9\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 30–40 (%)\n </td>\n <td>\n 9.6\n </td>\n <td>\n 4.6\n </td>\n <td>\n 6.8\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Illness (previous 2 months, %)\n </td>\n <td>\n 22.6\n </td>\n <td>\n 21.1\n </td>\n <td>\n 20.3\n </td>\n <td>\n 0.92\n </td>\n </tr>\n <tr>\n <td>\n Diarrhea (previous 2 months, %)\n </td>\n <td>\n 5.2\n </td>\n <td>\n 6.5\n </td>\n <td>\n 4.2\n </td>\n <td>\n 0.75\n </td>\n </tr>\n <tr>\n <td>\n Malaria (previous 2 months, %)\n </td>\n <td>\n 13.9\n </td>\n <td>\n 13.0\n </td>\n <td>\n 17.8\n </td>\n <td>\n 0.55\n </td>\n </tr>\n <tr>\n <td>\n Fundal height (cm)\n </td>\n <td>\n 19.7 ± 3.6\n </td>\n <td>\n 19.6 ± 4.2\n </td>\n <td>\n 18.4 ± 4.4\n </td>\n <td>\n 0.04\n </td>\n </tr>\n <tr>\n <td>\n Previous pregnancies\n </td>\n <td>\n 1.0 ± 1.3\n </td>\n <td>\n 1.0 ± 1.3\n </td>\n <td>\n 0.9 ± 1.6\n </td>\n <td>\n 0.84\n </td>\n </tr>\n <tr>\n <td>\n Currently taking supplements\n </td>\n <td>\n 67.8\n </td>\n <td>\n 70.6\n </td>\n <td>\n 72.0\n </td>\n <td>\n 0.78\n </td>\n </tr>\n <tr>\n <td>\n Folic acid (%)\n </td>\n <td>\n 3.5\n </td>\n <td>\n 0.9\n </td>\n <td>\n 2.5\n </td>\n <td>\n 0.43\n </td>\n </tr>\n <tr>\n <td>\n Iron (%)\n </td>\n <td>\n 64.4\n </td>\n <td>\n 68.2\n </td>\n <td>\n 69.5\n </td>\n <td>\n 0.69\n </td>\n </tr>\n <tr>\n <td>\n HIV status (% positive)\n <sup>\n 3\n </sup>\n </td>\n <td>\n 15.8\n </td>\n <td>\n 9.2\n </td>\n <td>\n 8.6\n </td>\n <td>\n 0.16\n </td>\n </tr>\n <tr>\n <td>\n Height (cm)\n </td>\n <td>\n 154.1 ± 5.4\n </td>\n <td>\n 153.9 ± 5.3\n </td>\n <td>\n 154.2 ± 5.3\n </td>\n <td>\n 0.92\n </td>\n </tr>\n <tr>\n <td>\n MUAC\n <sup>\n 4\n </sup>\n (cm)\n </td>\n <td>\n 22.2 ± 0.6\n </td>\n <td>\n 22.2 ± 0.6\n </td>\n <td>\n 22.2 ± 0.6\n </td>\n <td>\n 0.84\n </td>\n </tr>\n <tr>\n <td>\n Weight (kg)\n </td>\n <td>\n 45.7 ± 3.5\n </td>\n <td>\n 45.8 ± 3.8\n </td>\n <td>\n 45.9 ± 3.8\n </td>\n <td>\n 0.92\n </td>\n </tr>\n <tr>\n <td>\n BMI\n <sup>\n 5\n </sup>\n (kg/m\n <sup>\n 2\n </sup>\n )\n </td>\n <td>\n 19.2 ± 1.1\n </td>\n <td>\n 19.3 ± 1.3\n </td>\n <td>\n 19.3 ± 1.4\n </td>\n <td>\n 0.80\n </td>\n </tr>\n <tr>\n <td>\n Underweight (%)\n <sup>\n 6\n </sup>\n </td>\n <td>\n 30.4\n </td>\n <td>\n 25.5\n </td>\n <td>\n 28.8\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 Prebiotic infections,\n \n </td>\n <td>\n \n Prebiotic infections,\n \n </td>\n <td>\n \n Placebo infections,\n \n </td>\n <td>\n \n Placebo infections,\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Diagnosis\n \n </td>\n <td>\n \n \n n\n \n /24 wk\n \n </td>\n <td>\n \n \n n\n \n /(24 wk × child)\n <sup>\n 2\n </sup>\n \n </td>\n <td>\n \n \n n\n \n /24 wk\n \n </td>\n <td>\n \n \n n\n \n /(24 wk × child)\n <sup>\n 2\n </sup>\n \n </td>\n <td>\n \n \n P\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Overall infections requiring physician's consultation\n </td>\n <td>\n 157\n </td>\n <td>\n 1.43 ± 1.32\n </td>\n <td>\n 184\n </td>\n <td>\n 1.69 ± 1.50\n </td>\n <td>\n 0.24\n </td>\n </tr>\n <tr>\n <td>\n Febrile infections requiring physician's consultation\n </td>\n <td>\n 71*\n </td>\n <td>\n 0.65 ± 1.09\n </td>\n <td>\n 98\n </td>\n <td>\n 0.90 ± 1.11\n </td>\n <td>\n 0.04\n </td>\n </tr>\n <tr>\n <td>\n Tonsillopharyngitis acuta\n </td>\n <td>\n 110\n </td>\n <td>\n 1.00 ± 0.99\n </td>\n <td>\n 123\n </td>\n <td>\n 1.13 ± 1.06\n </td>\n <td>\n 0.39\n </td>\n </tr>\n <tr>\n <td>\n Sinusitis maxillaris\n </td>\n <td>\n 1*\n </td>\n <td>\n 0.01 ± 0.1\n </td>\n <td>\n 7\n </td>\n <td>\n 0.06 ± 0.25\n </td>\n <td>\n 0.03\n </td>\n </tr>\n <tr>\n <td>\n Laryngitis acuta\n </td>\n <td>\n 0\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n 1\n </td>\n <td>\n 0.01 ± 0.1\n </td>\n <td>\n 0.32\n </td>\n </tr>\n <tr>\n <td>\n Otitis media\n </td>\n <td>\n 10\n </td>\n <td>\n 0.09 ± 0.37\n </td>\n <td>\n 14\n </td>\n <td>\n 0.13 ± 0.39\n </td>\n <td>\n 0.24\n </td>\n </tr>\n <tr>\n <td>\n Bronchitis acuta\n </td>\n <td>\n 15\n </td>\n <td>\n 0.14 ± 0.44\n </td>\n <td>\n 17\n </td>\n <td>\n 0.16 ± 0.43\n </td>\n <td>\n 0.54\n </td>\n </tr>\n <tr>\n <td>\n Pneumonia\n </td>\n <td>\n 2\n </td>\n <td>\n 0.02 ± 0.13\n </td>\n <td>\n 3\n </td>\n <td>\n 0.03 ± 0.16\n </td>\n <td>\n 0.64\n </td>\n </tr>\n <tr>\n <td>\n Gastroenteritis acuta\n </td>\n <td>\n 18\n </td>\n <td>\n 0.16 ± 0.42\n </td>\n <td>\n 19\n </td>\n <td>\n 0.17 ± 0.43\n </td>\n <td>\n 0.83\n </td>\n </tr>\n <tr>\n <td>\n Urinary tract infection\n </td>\n <td>\n 1\n </td>\n <td>\n 0.01 ± 0.10\n </td>\n <td>\n 0\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n 0.32\n </td>\n </tr>\n <tr>\n <td>\n Total number of URTIs\n </td>\n <td>\n 111\n </td>\n <td>\n 1.01 ± 1.02\n </td>\n <td>\n 131\n </td>\n <td>\n 1.20 ± 1.14\n </td>\n <td>\n 0.26\n </td>\n </tr>\n <tr>\n <td>\n Total number of LRTIs\n </td>\n <td>\n 17\n </td>\n <td>\n 0.15 ± 0.43\n </td>\n <td>\n 20\n </td>\n <td>\n 0.18 ± 0.47\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 \n Organism\n \n </td>\n <td>\n \n Effects\n \n </td>\n <td>\n \n References\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Cell Membrane\n </td>\n <td>\n Binding to bacterial cell membrane\n </td>\n <td>\n [63–65]\n </td>\n </tr>\n <tr>\n <td>\n Associated Effects\n </td>\n <td>\n Damaging bacterial cell membrane\n </td>\n <td>\n [63]\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Inhibits ability of bacteria to bind to host cells\n </td>\n <td>\n [66, 67]\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Inhibits ability of bacteria to form biofilms\n </td>\n <td>\n [66, 68, 69]\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Disrupts bacterial quorum sensing\n </td>\n <td>\n [68]\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Interferes with bacterial membrane transporters\n </td>\n <td>\n [65, 69, 70]\n </td>\n </tr>\n <tr>\n <td>\n Bacterial Cell Functions\n </td>\n <td>\n Inhibits bacterial DNA gyrase\n </td>\n <td>\n [71]\n </td>\n </tr>\n <tr>\n <td>\n Effects\n </td>\n <td>\n Reduces bacterial H\n <sub>\n 2\n </sub>\n S production\n </td>\n <td>\n [66]\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Inhibits bacterial hemolytic action\n </td>\n <td>\n [66, 72]\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Inhibition of bacterial DHFR enzyme\n </td>\n <td>\n [53]\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Inhibits bacterial fatty acid synthesis enzymes\n </td>\n <td>\n [73]\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Increases bacterial internal ROS levels\n </td>\n <td>\n [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 Case\n \n </td>\n <td>\n \n Age group\n \n </td>\n <td>\n \n Gender\n \n </td>\n <td>\n \n Blood group\n \n </td>\n <td>\n \n Number of Plasmodium parasites/\n \n μ\n \n l of blood\n \n </td>\n <td>\n \n Plasmodium species\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Case\n \n \n 1\n \n </td>\n <td>\n 18-23\n </td>\n <td>\n MALE\n </td>\n <td>\n O+\n </td>\n <td>\n 48\n </td>\n <td>\n \n P. falciparum\n \n </td>\n </tr>\n <tr>\n <td>\n \n Case\n \n \n 2\n \n </td>\n <td>\n 18-23\n </td>\n <td>\n FEMALE\n </td>\n <td>\n O+\n </td>\n <td>\n 62\n </td>\n <td>\n \n P. falciparum\n \n </td>\n </tr>\n <tr>\n <td>\n \n Case\n \n \n 3\n \n </td>\n <td>\n 24-30\n </td>\n <td>\n MALE\n </td>\n <td>\n O+\n </td>\n <td>\n 48\n </td>\n <td>\n \n P. malariae\n \n </td>\n </tr>\n <tr>\n <td>\n \n Case\n \n \n 4\n \n </td>\n <td>\n 18-23\n </td>\n <td>\n MALE\n </td>\n <td>\n O-\n </td>\n <td>\n 80\n </td>\n <td>\n \n P. falciparum\n \n </td>\n </tr>\n <tr>\n <td>\n \n Case\n \n \n 5\n \n </td>\n <td>\n 18-23\n </td>\n <td>\n MALE\n </td>\n <td>\n AB+\n </td>\n <td>\n 32\n </td>\n <td>\n \n P. falciparum\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 rowspan=\"2\">\n \n \n Variable\n \n \n </td>\n <td colspan=\"2\">\n \n \n Urinary incontinence\n \n \n </td>\n </tr>\n <tr>\n <td>\n \n % (SE)\n \n </td>\n <td>\n \n \n P\n \n -value a\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"3\">\n BMI (kg/m\n <sup>\n 2\n </sup>\n )\n </td>\n </tr>\n <tr>\n <td>\n <18.5\n </td>\n <td>\n 3.2 (1.5)\n </td>\n <td>\n <.001\n </td>\n </tr>\n <tr>\n <td>\n ≥18.5–<23\n </td>\n <td>\n 7.0 (0.6)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ≥23–<25\n </td>\n <td>\n 9.6 (1.0)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ≥25\n </td>\n <td>\n 10.6 (1.0)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n WC (cm)\n </td>\n </tr>\n <tr>\n <td>\n <80\n </td>\n <td>\n 6.6 (0.5)\n </td>\n <td>\n <.001\n </td>\n </tr>\n <tr>\n <td>\n ≥80\n </td>\n <td>\n 10.8 (0.8)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n Total body fat (%)\n </td>\n </tr>\n <tr>\n <td>\n T1 (<30.5)\n </td>\n <td>\n 6.8 (0.7)\n </td>\n <td>\n .039\n </td>\n </tr>\n <tr>\n <td>\n T2 (≥30.5–<34.9)\n </td>\n <td>\n 9.3 (0.8)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n T3 (≥34.9)\n </td>\n <td>\n 9.4 (1.0)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Trunk fat (%)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n T1 (<30.4)\n </td>\n <td>\n 6.6 (0.7)\n </td>\n <td>\n .008\n </td>\n </tr>\n <tr>\n <td>\n T2 (≥30.4–<36.6)\n </td>\n <td>\n 8.5 (0.8)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n T3 (≥36.6)\n </td>\n <td>\n 10.2 (1.0)\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Index\n \n </td>\n <td>\n \n 0V%\n \n </td>\n <td>\n \n 1V%\n \n </td>\n <td>\n \n 2LV%\n \n </td>\n <td>\n \n 2ULV%\n \n </td>\n <td>\n \n SE\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n SDNN\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 r\n </td>\n <td>\n -0.494\n </td>\n <td>\n 0.043\n </td>\n <td>\n 0.522\n </td>\n <td>\n 0.357\n </td>\n <td>\n 0.478\n </td>\n </tr>\n <tr>\n <td>\n ICC\n </td>\n <td>\n -1.204\n </td>\n <td>\n 0.058\n </td>\n <td>\n 0.410\n </td>\n <td>\n 0.295\n </td>\n <td>\n 0.037\n </td>\n </tr>\n <tr>\n <td>\n 95%CI\n </td>\n <td>\n -3.204- -0.156\n </td>\n <td>\n -0.795-0.506)\n </td>\n <td>\n -0.126-0.690\n </td>\n <td>\n -0.345-0.630\n </td>\n <td>\n -0.836-0.495\n </td>\n </tr>\n <tr>\n <td>\n \n RMSSD\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 r\n </td>\n <td>\n -0.690\n </td>\n <td>\n -0.081\n </td>\n <td>\n 0.550\n </td>\n <td>\n 0.627\n </td>\n <td>\n 0.650\n </td>\n </tr>\n <tr>\n <td>\n ICC\n </td>\n <td>\n -3.337\n </td>\n <td>\n -0.072\n </td>\n <td>\n 0.539\n </td>\n <td>\n 0.617\n </td>\n <td>\n 0.065\n </td>\n </tr>\n <tr>\n <td>\n 95%CI\n </td>\n <td>\n -7.271- -1.274\n </td>\n <td>\n -1.045-0.438\n </td>\n <td>\n 0.122-0.759\n </td>\n <td>\n 0.270-0.799\n </td>\n <td>\n -0.782-0.510\n </td>\n </tr>\n <tr>\n <td>\n \n LF ms\n <sup>\n 2\n </sup>\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 r\n </td>\n <td>\n -0.692\n </td>\n <td>\n 0.034\n </td>\n <td>\n 0.721\n </td>\n <td>\n 0.495\n </td>\n <td>\n 0.669\n </td>\n </tr>\n <tr>\n <td>\n ICC\n </td>\n <td>\n -0.054\n </td>\n <td>\n 0.000\n </td>\n <td>\n 0.000\n </td>\n <td>\n 0.021\n </td>\n <td>\n 0.002\n </td>\n </tr>\n <tr>\n <td>\n 95%CI\n </td>\n <td>\n -1.009-0.447\n </td>\n <td>\n -0.907-0.476\n </td>\n <td>\n -0.849-0.491\n </td>\n <td>\n -0.866-0.487\n </td>\n <td>\n -0.903-0.477\n </td>\n </tr>\n <tr>\n <td>\n \n HF ms\n <sup>\n 2\n </sup>\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 r\n </td>\n <td>\n -0.365\n </td>\n <td>\n 0.036\n </td>\n <td>\n 0.469\n </td>\n <td>\n 0.202\n </td>\n <td>\n 0.381\n </td>\n </tr>\n <tr>\n <td>\n ICC\n </td>\n <td>\n -0.032\n </td>\n <td>\n 0.001\n </td>\n <td>\n 0.020\n </td>\n <td>\n 0.010\n </td>\n <td>\n 0.001\n </td>\n </tr>\n <tr>\n <td>\n 95%CI\n </td>\n <td>\n -0.967-0.459\n </td>\n <td>\n -0.905-0.476\n </td>\n <td>\n -0.869-0.486\n </td>\n <td>\n -0.888-0.481\n </td>\n <td>\n -0.905-0.476\n </td>\n </tr>\n <tr>\n <td>\n \n LF n.u.\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 r\n </td>\n <td>\n 0.776\n </td>\n <td>\n -0.080\n </td>\n <td>\n -0.638\n </td>\n <td>\n -0.601\n </td>\n <td>\n -0.640\n </td>\n </tr>\n <tr>\n <td>\n ICC\n </td>\n <td>\n 0.871\n </td>\n <td>\n -0.295\n </td>\n <td>\n -1.840\n </td>\n <td>\n -1.575\n </td>\n <td>\n -0.081\n </td>\n </tr>\n <tr>\n <td>\n 95%CI\n </td>\n <td>\n 0.754-0.932\n </td>\n <td>\n -1.470-0.321\n </td>\n <td>\n -4.416- -0.489\n </td>\n <td>\n -3.911- -0.350\n </td>\n <td>\n -1.062-0.433\n </td>\n </tr>\n <tr>\n <td>\n \n HF n.u.\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 r\n </td>\n <td>\n -0.776\n </td>\n <td>\n 0.080\n </td>\n <td>\n 0.638\n </td>\n <td>\n 0.601\n </td>\n <td>\n 0.640\n </td>\n </tr>\n <tr>\n <td>\n ICC\n </td>\n <td>\n -6.750\n </td>\n <td>\n 0.228\n </td>\n <td>\n 0.648\n </td>\n <td>\n 0.612\n </td>\n <td>\n 0.075\n </td>\n </tr>\n <tr>\n <td>\n 95%CI\n </td>\n <td>\n -13.779- -3.064\n </td>\n <td>\n -0.473- 0.595\n </td>\n <td>\n 0.329-0.815\n </td>\n <td>\n 0.260-0.796\n </td>\n <td>\n -0.764-0.515\n </td>\n </tr>\n <tr>\n <td>\n \n LF/HF\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 r\n </td>\n <td>\n 0.776\n </td>\n <td>\n -0.080\n </td>\n <td>\n -0.688\n </td>\n <td>\n -0.601\n </td>\n <td>\n -0.704\n </td>\n </tr>\n <tr>\n <td>\n ICC\n </td>\n <td>\n 0.321\n </td>\n <td>\n -0.712\n </td>\n <td>\n -0.658\n </td>\n <td>\n -0.294\n </td>\n <td>\n -0.702\n </td>\n </tr>\n <tr>\n <td>\n 95%CI\n </td>\n <td>\n -0.294-0.644\n </td>\n <td>\n -2.264-0.102\n </td>\n <td>\n -2.161-0.131\n </td>\n <td>\n -1.468-0.321\n </td>\n <td>\n -2.246-0.107\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 ANOVA/MANOVA\n \n </td>\n <td>\n \n GSH\n \n </td>\n <td>\n \n LPO\n \n </td>\n <td>\n \n H\n <sub>\n 2\n </sub>\n O\n <sub>\n 2\n </sub>\n \n </td>\n <td>\n \n TOS\n \n </td>\n <td>\n \n TAS\n \n </td>\n <td>\n \n TOS/TAS\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Independent impact of Cd\n </td>\n <td>\n 6.389\n <sup>\n ∗\n </sup>\n </td>\n <td>\n 24.84\n <sup>\n ‡\n </sup>\n </td>\n <td>\n 20.38\n <sup>\n ‡\n </sup>\n </td>\n <td>\n 35.05\n <sup>\n ‡\n </sup>\n </td>\n <td>\n 0.635\n </td>\n <td>\n 62.04\n <sup>\n ‡\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n Independent impact of Zn\n </td>\n <td>\n 9.526\n <sup>\n †\n </sup>\n </td>\n <td>\n 14.09\n <sup>\n ‡\n </sup>\n </td>\n <td>\n 37.82\n <sup>\n ‡\n </sup>\n </td>\n <td>\n 33.31\n <sup>\n ‡\n </sup>\n </td>\n <td>\n 53.18\n <sup>\n ‡\n </sup>\n </td>\n <td>\n 149.5\n <sup>\n ‡\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n Interaction effect of Cd and Zn\n </td>\n <td>\n 9.461\n <sup>\n †\n </sup>\n </td>\n <td>\n 7.091\n <sup>\n †\n </sup>\n </td>\n <td>\n 13.67\n <sup>\n ‡\n </sup>\n </td>\n <td>\n 11.56\n <sup>\n †\n </sup>\n </td>\n <td>\n 3.049\n </td>\n <td>\n 50.87\n <sup>\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>\n \n \n n\n \n \n </td>\n <td>\n \n GDM\n \n </td>\n <td>\n \n \n N\n \n \n </td>\n <td>\n \n NGT\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 Age (years)\n </td>\n <td>\n 82\n </td>\n <td>\n 33.32 ± 4.5\n </td>\n <td>\n 138\n </td>\n <td>\n 31.51 ± 5.4\n </td>\n <td>\n 0.011\n </td>\n </tr>\n <tr>\n <td>\n Gestational week of first testing\n </td>\n <td>\n 82\n </td>\n <td>\n 15.0 (13–18)\n </td>\n <td>\n 138\n </td>\n <td>\n 16.0 (14–18)\n </td>\n <td>\n 0.111\n </td>\n </tr>\n <tr>\n <td>\n BMI at first visit (kg/m\n <sup>\n 2\n </sup>\n )\n </td>\n <td>\n 82\n </td>\n <td>\n 30.31 ± 6.2\n </td>\n <td>\n 138\n </td>\n <td>\n 27.14 ± 5.3\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Pregestational BMI (kg/m\n <sup>\n 2\n </sup>\n )\n </td>\n <td>\n 82\n </td>\n <td>\n 28.79 ± 5.7\n </td>\n <td>\n 138\n </td>\n <td>\n 25.68 ± 5.6\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n FPG (mg/dl)\n </td>\n <td>\n 81\n </td>\n <td>\n 85.5 ± 10.4\n </td>\n <td>\n 138\n </td>\n <td>\n 77.85 ± 5.8\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Insulin (\n \n μ\n \n U/ml)\n </td>\n <td>\n 81\n </td>\n <td>\n 4.91 (1.90–9.37)\n </td>\n <td>\n 137\n </td>\n <td>\n 3.64 (1.90–7.77)\n </td>\n <td>\n 0.248\n </td>\n </tr>\n <tr>\n <td>\n C-peptide (ng/ml)\n </td>\n <td>\n 81\n </td>\n <td>\n 1.99 ± 1.37\n </td>\n <td>\n 137\n </td>\n <td>\n 1.53 ± 0.67\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n HOMA\n </td>\n <td>\n 81\n </td>\n <td>\n 0.96 (0.44–2.00)\n </td>\n <td>\n 137\n </td>\n <td>\n 0.71 (0.37–1.47)\n </td>\n <td>\n 0.02884\n </td>\n </tr>\n <tr>\n <td>\n Matsuda index\n </td>\n <td>\n 78\n </td>\n <td>\n 7.67 ± 4.72\n </td>\n <td>\n 121\n </td>\n <td>\n 10.16 ± 5.83\n </td>\n <td>\n 0.002\n </td>\n </tr>\n <tr>\n <td>\n ISSI-2\n </td>\n <td>\n 78\n </td>\n <td>\n 2.32 ± 0.98\n </td>\n <td>\n 121\n </td>\n <td>\n 3.56 ± 1.28\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n AUC\n <sub>\n Insulin\n </sub>\n /AUC\n <sub>\n Glucose\n </sub>\n </td>\n <td>\n 78\n </td>\n <td>\n 33.7 (21.9–49.9)\n </td>\n <td>\n 121\n </td>\n <td>\n 37.5 (26.9–58.6)\n </td>\n <td>\n 0.105\n </td>\n </tr>\n <tr>\n <td>\n IGI\n </td>\n <td>\n 80\n </td>\n <td>\n 53.9 (30.4–80.8)\n </td>\n <td>\n 128\n </td>\n <td>\n 84.8 (53.5–144.3)\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Leptin (ng/ml)\n </td>\n <td>\n 81\n </td>\n <td>\n 93.4 ± 38.5\n </td>\n <td>\n 133\n </td>\n <td>\n 78.0 ± 39.2\n </td>\n <td>\n 0.005\n </td>\n </tr>\n <tr>\n <td>\n Adiponectin (\n \n μ\n \n g/ml)\n </td>\n <td>\n 71\n </td>\n <td>\n 8.50 ± 3.79\n </td>\n <td>\n 98\n </td>\n <td>\n 10.37 ± 4.39\n </td>\n <td>\n 0.004\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 VAT DIO2 gene expression (\n \n n\n \n = 21 lean;\n \n n\n \n = 73 obese)\n \n </td>\n <td>\n \n SAT DIO2 gene expression (\n \n n\n \n = 21 lean;\n \n n\n \n = 35 obese)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"3\">\n \n Mitochondrial function genes\n \n </td>\n </tr>\n <tr>\n <td>\n CIDEA\n </td>\n <td>\n \n r\n \n = −0.365\n <sup>\n ∗\n </sup>\n </td>\n <td>\n \n r\n \n = −0.423\n <sup>\n ∗\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n ATP5A\n </td>\n <td>\n \n r\n \n = −0.612\n <sup>\n ∗\n </sup>\n </td>\n <td>\n \n r\n \n = −0.601\n <sup>\n ∗\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n PGC1\n \n α\n \n </td>\n <td>\n \n r\n \n = −0.493\n <sup>\n ∗\n </sup>\n </td>\n <td>\n —\n </td>\n </tr>\n <tr>\n <td>\n CPT1B\n </td>\n <td>\n \n r\n \n = −0.436\n <sup>\n ∗\n </sup>\n </td>\n <td>\n \n r\n \n = −0.483\n <sup>\n ∗\n </sup>\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n \n Fatty acid beta-oxidation genes\n \n </td>\n </tr>\n <tr>\n <td>\n ACADM\n </td>\n <td>\n \n r\n \n = −0.586\n <sup>\n ∗\n </sup>\n </td>\n <td>\n \n r\n \n = −0.549\n <sup>\n ∗\n </sup>\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n \n Fatty acid synthesis genes\n \n </td>\n </tr>\n <tr>\n <td>\n ACC2\n </td>\n <td>\n \n r\n \n = −0.460\n <sup>\n ∗\n </sup>\n </td>\n <td>\n \n r\n \n = −0.510\n <sup>\n ∗\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n FASN\n </td>\n <td>\n \n r\n \n = −0.259\n </td>\n <td>\n \n r\n \n = −0.481\n <sup>\n ∗\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n DGAT\n </td>\n <td>\n \n r\n \n = −0.441\n <sup>\n ∗\n </sup>\n </td>\n <td>\n \n r\n \n = −0.411\n <sup>\n ∗\n </sup>\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n \n Proinflammatory mediator of gene expression\n \n </td>\n </tr>\n <tr>\n <td>\n IL-1\n \n β\n \n </td>\n <td>\n \n r\n \n = −0.091\n </td>\n <td>\n \n r\n \n = +0.045\n </td>\n </tr>\n <tr>\n <td>\n Leptin\n </td>\n <td>\n \n r\n \n = −0.115\n </td>\n <td>\n \n r\n \n = −0.260\n </td>\n </tr>\n <tr>\n <td>\n NLRP3\n </td>\n <td>\n \n r\n \n = −0.126\n </td>\n <td>\n \n r\n \n = +0.026\n </td>\n </tr>\n <tr>\n <td>\n PAI-1\n </td>\n <td>\n \n r\n \n = +0.602\n <sup>\n ∗\n </sup>\n </td>\n <td>\n \n r\n \n = +0.324\n <sup>\n ∗\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n TNF\n \n α\n \n </td>\n <td>\n \n r\n \n = −0.095\n </td>\n <td>\n \n r\n \n = +0.149\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n \n Anti-inflammatory Mediator of gene expression\n \n </td>\n </tr>\n <tr>\n <td>\n PPAR\n \n γ\n \n </td>\n <td>\n \n r\n \n = −0.656\n <sup>\n ∗\n </sup>\n </td>\n <td>\n \n r\n \n = −0.562\n <sup>\n ∗\n </sup>\n </td>\n </tr>\n <tr>\n <td>\n ADIPOQ\n </td>\n <td>\n \n r\n \n = −0.581\n <sup>\n ∗\n </sup>\n </td>\n <td>\n \n r\n \n = −0.485\n <sup>\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 \n Re-test rate of 6.5%\n \n </td>\n <td>\n \n Re-test for all women\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Applied to all women with the following criteria: - initially had a test result of ≤ 38 - did not develop preeclampsia at week two - were treated in an outpatient settingThe influence of the re-test for this population on the clinical and budget impact resulting from a change in management according to the re-test results and the additional test costs has been considered.\n </td>\n <td>\n The influence of the additional costs on the budget impact for a re-test for all women irrespective of the initial test result, preeclampsia status at week two and treatment location has been taken into account.The influence of a re-test on the clinical impact resulting from a change in management according to the re-test results and the additional test costs has only been considered for all women with the following criteria:- initially had a test result of ≤ 38- did not develop preeclampsia at week two- were treated in an outpatient setting\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 Grade of HO\n \n </td>\n <td>\n \n 2-year follow-up\n \n </td>\n <td>\n \n Final follow-up\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 0\n </td>\n <td>\n 59 (76.6%)\n </td>\n <td>\n 44 (57.1%)\n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n 6 (7.8%)\n </td>\n <td>\n 7 (9.1%)\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 4 (5.2%)\n </td>\n <td>\n 8 (10.4%)\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 6 (7.8%)\n </td>\n <td>\n 10 (13.0%)\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n 2 (2.6%)\n </td>\n <td>\n 8 (10.4%)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Characteristic\n \n </td>\n <td>\n \n Patients (\n \n N\n \n = 45)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Median (range) age, years\n </td>\n <td>\n 70 (48–85)\n </td>\n </tr>\n <tr>\n <td>\n 45–< 65,\n \n n\n \n (%)\n </td>\n <td>\n 8 (17.8)\n </td>\n </tr>\n <tr>\n <td>\n 65–< 75,\n \n n\n \n (%)\n </td>\n <td>\n 21 (46.7)\n </td>\n </tr>\n <tr>\n <td>\n ≥ 75,\n \n n\n \n (%)\n </td>\n <td>\n 16 (35.6)\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n Sex,\n \n n\n \n (%)\n </td>\n </tr>\n <tr>\n <td>\n Male\n </td>\n <td>\n 24 (53.3)\n </td>\n </tr>\n <tr>\n <td>\n Female\n </td>\n <td>\n 21 (46.7)\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n Race,\n \n n\n \n (%)\n </td>\n </tr>\n <tr>\n <td>\n White\n </td>\n <td>\n 43 (95.6)\n </td>\n </tr>\n <tr>\n <td>\n Black\n </td>\n <td>\n 1 (2.2)\n </td>\n </tr>\n <tr>\n <td>\n Other\n </td>\n <td>\n 1 (2.2)\n </td>\n </tr>\n <tr>\n <td>\n Median (range) height, cm\n </td>\n <td>\n 168 (152–193)\n </td>\n </tr>\n <tr>\n <td>\n Median (range) weight, kg\n </td>\n <td>\n 74 (46–114)\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n Type of MF,\n \n n\n \n (%)\n </td>\n </tr>\n <tr>\n <td>\n PMF\n </td>\n <td>\n 25 (55.6)\n </td>\n </tr>\n <tr>\n <td>\n PPV-MF\n </td>\n <td>\n 13 (28.9)\n </td>\n </tr>\n <tr>\n <td>\n PET-MF\n </td>\n <td>\n 7 (15.6)\n </td>\n </tr>\n <tr>\n <td>\n Median (range) spleen volume,\n <sup>\n †\n </sup>\n cm\n <sup>\n 3\n </sup>\n </td>\n <td>\n 1798.5 (763.2–6633.4)\n </td>\n </tr>\n <tr>\n <td>\n Median (range) palpable spleen length below costal margin, cm\n </td>\n <td>\n 13 (0–34)\n </td>\n </tr>\n <tr>\n <td>\n Prior hydroxyurea use,\n \n n\n \n (%)\n </td>\n <td>\n 29 (64.4)\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n ECOG performance status,\n \n n\n \n (%)\n </td>\n </tr>\n <tr>\n <td>\n 0\n </td>\n <td>\n 17 (37.8)\n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n 20 (44.4)\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 7 (15.6)\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 1 (2.2)\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n DIPSS score,\n \n n\n \n (%)\n </td>\n </tr>\n <tr>\n <td>\n High risk (5–6)\n </td>\n <td>\n 6 (13.3)\n </td>\n </tr>\n <tr>\n <td>\n Intermediate-2 (3–4)\n </td>\n <td>\n 7 (15.6)\n </td>\n </tr>\n <tr>\n <td>\n Intermediate-1 (1–2)\n </td>\n <td>\n 31 (68.9)\n </td>\n </tr>\n <tr>\n <td>\n Low (0)\n </td>\n <td>\n 1 (2.2)\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n Transfusion status,\n \n n\n \n (%)\n </td>\n </tr>\n <tr>\n <td>\n Independent\n </td>\n <td>\n 30 (66.7)\n </td>\n </tr>\n <tr>\n <td>\n Dependent\n </td>\n <td>\n 15 (33.3)\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n \n JAK2\n \n mutation status,\n \n n\n \n <sup>\n ‡\n </sup>\n (%)\n </td>\n </tr>\n <tr>\n <td>\n Present\n </td>\n <td>\n 29 (64.4)\n </td>\n </tr>\n <tr>\n <td>\n Absent\n </td>\n <td>\n 15 (33.3)\n </td>\n </tr>\n <tr>\n <td>\n Median (range) V617F at baseline for patients with\n \n JAK2\n \n mutation, %\n <sup>\n §\n </sup>\n </td>\n <td>\n 77 (1–96)\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 rowspan=\"2\">\n </td>\n <td colspan=\"2\">\n \n HAdV detection (\n \n n\n \n = 174)\n \n </td>\n <td rowspan=\"2\">\n \n ×\n \n 2\n \n /\n \n t\n \n /\n \n Z\n \n \n </td>\n <td rowspan=\"2\">\n \n \n p\n \n \n </td>\n <td colspan=\"2\">\n \n Single HAdV detection (\n \n n\n \n = 70)\n \n </td>\n <td rowspan=\"2\">\n \n ×\n \n 2\n \n /\n \n t\n \n /\n \n Z\n \n \n </td>\n <td rowspan=\"2\">\n \n \n p\n \n \n </td>\n </tr>\n <tr>\n <td>\n \n mild(\n \n n\n \n = 108)\n \n </td>\n <td>\n \n severe(\n \n n\n \n = 66)\n \n </td>\n <td>\n \n mild(\n \n n\n \n = 38)\n \n </td>\n <td>\n \n severe(\n \n n\n \n = 32)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n HAdV-load\n </td>\n <td>\n 2.23(1.29–3.43)\n </td>\n <td>\n 4.05(2.58–6.35)\n </td>\n <td>\n −6.226\n </td>\n <td>\n 0.000\n </td>\n <td>\n 2.24 ± 1.46\n </td>\n <td>\n 4.94 ± 2.57\n </td>\n <td>\n −5.268\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n HAdV hexon sequence genotype\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 12.142\n </td>\n <td>\n 0.016\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 8.090\n </td>\n <td>\n 0.088\n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n 20(18.5)\n </td>\n <td>\n 6(9.1)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 4(10.5)\n </td>\n <td>\n 1(3.1)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 21(19.4)\n </td>\n <td>\n 6(9.1)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 7(18.4)\n </td>\n <td>\n 3(9.4)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 16(14.8)\n </td>\n <td>\n 10(15.2)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 5(13.2)\n </td>\n <td>\n 2(6.3)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 7\n </td>\n <td>\n 37(34.3)\n </td>\n <td>\n 39(59.1)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 16(42.1)\n </td>\n <td>\n 24(75.0)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Other\n <sup>\n *\n </sup>\n </td>\n <td>\n 14(13.0)\n </td>\n <td>\n 5(7.6)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 6(15.8)\n </td>\n <td>\n 2(6.3)\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 rowspan=\"2\">\n </td>\n <td rowspan=\"2\">\n \n N\n \n </td>\n <td>\n \n Referred %\n \n </td>\n <td>\n \n All files %\n \n </td>\n </tr>\n <tr>\n <td>\n \n \n N\n \n = 117\n \n </td>\n <td>\n \n \n N\n \n = 288\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"4\">\n Type of specialist\n </td>\n </tr>\n <tr>\n <td>\n Surgical specialists\n </td>\n <td>\n 51\n </td>\n <td>\n 43.6\n </td>\n <td>\n 17.7\n </td>\n </tr>\n <tr>\n <td>\n WAD specialists\n </td>\n <td>\n 24\n </td>\n <td>\n 20.5\n </td>\n <td>\n 8.3\n </td>\n </tr>\n <tr>\n <td>\n Other specialists\n </td>\n <td>\n 18\n </td>\n <td>\n 15.4\n </td>\n <td>\n 6.3\n </td>\n </tr>\n <tr>\n <td>\n More than one specialist\n </td>\n <td>\n 24\n </td>\n <td>\n 20.5\n </td>\n <td>\n 8.3\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n Referral source\n </td>\n </tr>\n <tr>\n <td>\n General practitioner\n </td>\n <td>\n 62\n </td>\n <td>\n 53.0\n </td>\n <td>\n 21.5\n </td>\n </tr>\n <tr>\n <td>\n Insurer\n </td>\n <td>\n 32\n </td>\n <td>\n 27.4\n </td>\n <td>\n 11.1\n </td>\n </tr>\n <tr>\n <td>\n Solicitor\n </td>\n <td>\n 16\n </td>\n <td>\n 13.7\n </td>\n <td>\n 5.6\n </td>\n </tr>\n <tr>\n <td>\n Medical specialist\n </td>\n <td>\n 5\n </td>\n <td>\n 4.3\n </td>\n <td>\n 1.7\n </td>\n </tr>\n <tr>\n <td>\n Physiotherapist\n </td>\n <td>\n 2\n </td>\n <td>\n 1.7\n </td>\n <td>\n 0.7\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n Health professional justification\n </td>\n </tr>\n <tr>\n <td>\n Opinion about diagnosis and management\n </td>\n <td>\n 63\n </td>\n <td>\n 32.5\n </td>\n <td>\n 21.9\n </td>\n </tr>\n <tr>\n <td>\n Complexity and severity of the injury\n </td>\n <td>\n 8\n </td>\n <td>\n 6.8\n </td>\n <td>\n 2.8\n </td>\n </tr>\n <tr>\n <td>\n Persistent pain, non-recovery\n </td>\n <td>\n 6\n </td>\n <td>\n 5.1\n </td>\n <td>\n 2.1\n </td>\n </tr>\n <tr>\n <td>\n Surgical management, specialised procedures\n </td>\n <td>\n 2\n </td>\n <td>\n 1.7\n </td>\n <td>\n 0.7\n </td>\n </tr>\n <tr>\n <td>\n Needs assessment\n </td>\n <td>\n 2\n </td>\n <td>\n 1.7\n </td>\n <td>\n 0.7\n </td>\n </tr>\n <tr>\n <td>\n None cited\n </td>\n <td>\n 36\n </td>\n <td>\n 30.8\n </td>\n <td>\n 12.5\n </td>\n </tr>\n <tr>\n <td>\n Indicated for WAD specialist but no referral made\n </td>\n <td>\n 55\n </td>\n <td>\n </td>\n <td>\n 19.1\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n Timeframe (days), median(IQR)\n </td>\n </tr>\n <tr>\n <td>\n Time to request\n </td>\n <td>\n 89(158)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n Outcome of specialist referral\n </td>\n </tr>\n <tr>\n <td>\n Clarification of condition, assessment of impairment\n </td>\n <td>\n 26\n </td>\n <td>\n 22.2\n </td>\n <td>\n 9.0\n </td>\n </tr>\n <tr>\n <td>\n Further imaging and tests\n </td>\n <td>\n 11\n </td>\n <td>\n 9.4\n </td>\n <td>\n 3.8\n </td>\n </tr>\n <tr>\n <td>\n Continuation of current management\n </td>\n <td>\n 8\n </td>\n <td>\n 6.8\n </td>\n <td>\n 2.8\n </td>\n </tr>\n <tr>\n <td>\n Pain management (medications, injections)\n </td>\n <td>\n 6\n </td>\n <td>\n 5.1\n </td>\n <td>\n 2.1\n </td>\n </tr>\n <tr>\n <td>\n Referral to another health professional\n </td>\n <td>\n 5\n </td>\n <td>\n 4.3\n </td>\n <td>\n 1.7\n </td>\n </tr>\n <tr>\n <td>\n Rehabilitation plan\n </td>\n <td>\n 2\n </td>\n <td>\n 1.7\n </td>\n <td>\n 0.7\n </td>\n </tr>\n <tr>\n <td>\n Discontinuation of treatment\n </td>\n <td>\n 2\n </td>\n <td>\n 1.7\n </td>\n <td>\n 0.7\n </td>\n </tr>\n <tr>\n <td>\n Return to work\n </td>\n <td>\n 2\n </td>\n <td>\n 1.7\n </td>\n <td>\n 0.7\n </td>\n </tr>\n <tr>\n <td>\n No record\n </td>\n <td>\n 55\n </td>\n <td>\n 47.0\n </td>\n <td>\n 19.1\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 colspan=\"2\">\n \n Characteristics\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age (years), mean, SD\n </td>\n <td>\n 9.8(0.7)\n </td>\n </tr>\n <tr>\n <td>\n Sex-girls, %\n </td>\n <td>\n 22.3\n </td>\n </tr>\n <tr>\n <td>\n Height (cm), mean, SD\n </td>\n <td>\n 144.8(5.9)\n </td>\n </tr>\n <tr>\n <td>\n Weight (kg), mean, SD\n </td>\n <td>\n 51.0(7.1)\n </td>\n </tr>\n <tr>\n <td>\n BMI (kg/m\n <sup>\n 2\n </sup>\n ), mean, SD\n </td>\n <td>\n 24.3(2.2)\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n Monthly household income, %\n </td>\n </tr>\n <tr>\n <td>\n Low(<5000 Yuan RMB)\n </td>\n <td>\n 38.8\n </td>\n </tr>\n <tr>\n <td>\n Middle(5001–10,000 Yuan RMB)\n </td>\n <td>\n 37.8\n </td>\n </tr>\n <tr>\n <td>\n High(>10,000 Yuan RMB)\n </td>\n <td>\n 14.4\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n Physical activity, %\n </td>\n </tr>\n <tr>\n <td>\n High\n </td>\n <td>\n 36.7\n </td>\n </tr>\n <tr>\n <td>\n Low\n </td>\n <td>\n 63.3\n </td>\n </tr>\n <tr>\n <td colspan=\"2\">\n Fruit and vegetable intake, %\n </td>\n </tr>\n <tr>\n <td>\n Sufficient\n </td>\n <td>\n 45.7\n </td>\n </tr>\n <tr>\n <td>\n Insufficient\n </td>\n <td>\n 54.3\n </td>\n </tr>\n <tr>\n <td>\n Poor well-being, %\n </td>\n <td>\n 22.9\n </td>\n </tr>\n <tr>\n <td>\n Depressive symptoms, %\n </td>\n <td>\n 24.5\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 Tools/databases\n \n </td>\n <td>\n \n Description\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n NGSengine\n </td>\n <td>\n Platform‐independent software for the high‐resolution identification of HLA alleles by NGS (http://www.gendx.com/ngs-engine-download).\n </td>\n </tr>\n <tr>\n <td>\n DR2S\n </td>\n <td>\n Dual Redundant Reference Sequencing (DR2S) is an R package designed to facilitate the generation of reliable, full‐length phase‐defined reference sequences for novel HLA alleles (https://github.com/gschofl/DR2S).\n </td>\n </tr>\n <tr>\n <td>\n TypeLoader\n </td>\n <td>\n Automatic EMBL‐ENA and IPD‐IMGT/HLA Database Upload Generator. This web service takes FASTA and GenDx generated XML files, processes them and automatically generates data for direct submission to the EMBL‐ENA and the IPD‐IMGT/HLA Database (https://github.com/DKMS-LSL/typeloader).\n </td>\n </tr>\n <tr>\n <td>\n ENA\n </td>\n <td>\n The EMBL‐ENA provides a comprehensive record of the world's nucleotide sequencing information, covering raw sequencing data, sequence assembly information and functional annotation (http://www.ebi.ac.uk/ena).\n </td>\n </tr>\n <tr>\n <td>\n IPD‐IMGT/HLA Database\n </td>\n <td>\n The IPD‐IMGT/HLA Database provides a specialist database for sequences of the MHC and includes the official sequences named by the WHO Nomenclature Committee for factors of the HLA System. The IPD‐IMGT/HLA Database is part of the international ImMunoGeneTics project (IMGT) (http://www.ebi.ac.uk/ipd/imgt/hla/).\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 BMI < 18.5 kg/m\n <sup>\n 2\n </sup>\n \n </td>\n <td>\n \n 18.5 ≤ BMI < 23\n \n </td>\n <td>\n \n 23 ≤ BMI < 25\n \n </td>\n <td>\n \n BMI ≥ 25\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"5\">\n Men\n </td>\n </tr>\n <tr>\n <td colspan=\"5\">\n WC (cm)\n </td>\n </tr>\n <tr>\n <td>\n < 70\n </td>\n <td>\n 0.96 (0.83, 1.10)\n </td>\n <td>\n 0.78 (0.75, 0.82)\n </td>\n <td>\n 1.36 (1.11, 1.68)\n </td>\n <td>\n 1.24 (0.92, 1.69)\n </td>\n </tr>\n <tr>\n <td>\n 70–75\n </td>\n <td>\n 0.98 (0.85, 1.13)\n </td>\n <td>\n 0.83 (0.80, 0.85)\n </td>\n <td>\n 1.02 (0.93, 1.12)\n </td>\n <td>\n 1.35 (1.11, 1.65)\n </td>\n </tr>\n <tr>\n <td>\n 75–80\n </td>\n <td>\n 1.10 (0.95, 1.27)\n </td>\n <td>\n 0.86 (0.84, 0.88)\n </td>\n <td>\n 0.91 (0.87, 0.95)\n </td>\n <td>\n 1.11 (1.02, 1.22)\n </td>\n </tr>\n <tr>\n <td>\n 80–85\n </td>\n <td>\n 1.12 (0.85, 1.48)\n </td>\n <td>\n 0.90 (0.88, 0.92)\n </td>\n <td>\n 0.93 (0.91, 0.96)\n </td>\n <td>\n 0.99 (0.95, 1.02)\n </td>\n </tr>\n <tr>\n <td>\n 85–90\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n 90–95\n </td>\n <td>\n 0.98 (0.73, 1.32)\n </td>\n <td>\n 1.18 (1.13, 1.24)\n </td>\n <td>\n 1.17 (1.13, 1.20)\n </td>\n <td>\n 1.12 (1.09, 1.15)\n </td>\n </tr>\n <tr>\n <td>\n 95–100\n </td>\n <td>\n 1.22 (0.74, 2.00)\n </td>\n <td>\n 1.40 (1.26, 1.55)\n </td>\n <td>\n 1.42 (1.35, 1.51)\n </td>\n <td>\n 1.30 (1.26, 1.34)\n </td>\n </tr>\n <tr>\n <td>\n ≥ 100\n </td>\n <td>\n 1.34 (0.43, 4.18)\n </td>\n <td>\n 1.33 (1.07, 1.64)\n </td>\n <td>\n 1.93 (1.70, 2.19)\n </td>\n <td>\n 1.83 (1.76, 1.90)\n </td>\n </tr>\n <tr>\n <td colspan=\"5\">\n Women\n </td>\n </tr>\n <tr>\n <td colspan=\"5\">\n WC (cm)\n </td>\n </tr>\n <tr>\n <td>\n < 70\n </td>\n <td>\n 0.72 (0.64, 0.81)\n </td>\n <td>\n 0.96 (0.93, 1.00)\n </td>\n <td>\n 1.07 (0.94, 1.21)\n </td>\n <td>\n 1.53 (1.24, 1.88)\n </td>\n </tr>\n <tr>\n <td>\n 70–75\n </td>\n <td>\n 0.78 (0.70, 0.88)\n </td>\n <td>\n 0.89 (0.86, 0.92)\n </td>\n <td>\n 0.95 (0.90, 1.01)\n </td>\n <td>\n 1.16 (1.05, 1.29)\n </td>\n </tr>\n <tr>\n <td>\n 75–80\n </td>\n <td>\n 0.87 (0.76, 0.99)\n </td>\n <td>\n 0.91 (0.88, 0.94)\n </td>\n <td>\n 0.98 (0.94, 1.02)\n </td>\n <td>\n 0.98 (0.93, 1.03)\n </td>\n </tr>\n <tr>\n <td>\n 80–85\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n 85–90\n </td>\n <td>\n 0.88 (0.71, 1.09)\n </td>\n <td>\n 1.14 (1.09, 1.21)\n </td>\n <td>\n 1.09 (1.04, 1.14)\n </td>\n <td>\n 1.06 (1.02, 1.10)\n </td>\n </tr>\n <tr>\n <td>\n 90–95\n </td>\n <td>\n 0.88 (0.63, 1.25)\n </td>\n <td>\n 1.28 (1.17, 1.39)\n </td>\n <td>\n 1.26 (1.19, 1.34)\n </td>\n <td>\n 1.20 (1.15, 1.25)\n </td>\n </tr>\n <tr>\n <td>\n 95–100\n </td>\n <td>\n 0.19 (0.06, 0.59)\n </td>\n <td>\n 1.44 (1.22, 1.70)\n </td>\n <td>\n 1.54 (1.37, 1.74)\n </td>\n <td>\n 1.37 (1.30, 1.43)\n </td>\n </tr>\n <tr>\n <td>\n ≥ 100\n </td>\n <td>\n 0.85 (0.32, 2.28)\n </td>\n <td>\n 2.00 (1.47, 2.72)\n </td>\n <td>\n 1.96 (1.54, 2.51)\n </td>\n <td>\n 1.85 (1.75, 1.96)\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 rowspan=\"2\">\n \n Data Set\n \n </td>\n <td colspan=\"2\">\n \n Affected\n \n </td>\n <td colspan=\"2\">\n \n Unaffected\n \n </td>\n <td rowspan=\"2\">\n \n Paired\n \n t\n \n -test (\n \n P\n \n value)\n \n </td>\n <td rowspan=\"2\">\n \n Paired Wilcoxon Z (\n \n P\n \n value)\n \n </td>\n </tr>\n <tr>\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 All\n </td>\n <td>\n 40.87\n </td>\n <td>\n 33.51\n </td>\n <td>\n 35.63\n </td>\n <td>\n 33.64\n </td>\n <td>\n \n <underline>\n 5.2 (<10\n </underline>\n <sup>\n −6\n </sup>\n <underline>\n )\n </underline>\n \n </td>\n <td>\n \n <underline>\n 5.0 (10\n </underline>\n <sup>\n −6\n </sup>\n <underline>\n )\n </underline>\n \n </td>\n </tr>\n <tr>\n <td>\n Ma–Mu\n </td>\n <td>\n 37.84\n </td>\n <td>\n 33.37\n </td>\n <td>\n 33.01\n </td>\n <td>\n 33.63\n </td>\n <td>\n \n <underline>\n 3.0 (0.0025)\n </underline>\n \n </td>\n <td>\n \n <underline>\n 2.8 (0.0047)\n </underline>\n \n </td>\n </tr>\n <tr>\n <td>\n Ma–Fu\n </td>\n <td>\n 43.78\n </td>\n <td>\n 32.95\n </td>\n <td>\n 37.7\n </td>\n <td>\n 33.59\n </td>\n <td>\n \n <underline>\n 4.2 (0.00004)\n </underline>\n \n </td>\n <td>\n \n <underline>\n 4.1 (0.00004)\n </underline>\n \n </td>\n </tr>\n <tr>\n <td>\n Fa–Mu\n </td>\n <td>\n 50.19\n </td>\n <td>\n 38.72\n </td>\n <td>\n 44.3\n </td>\n <td>\n 34.8\n </td>\n <td>\n 1.6 (0.1209)\n </td>\n <td>\n 1.6 (0.1201)\n </td>\n </tr>\n <tr>\n <td>\n Fa–Fu\n </td>\n <td>\n 31.37\n </td>\n <td>\n 29.33\n </td>\n <td>\n 30.2\n </td>\n <td>\n 30.99\n </td>\n <td>\n 0.4 (0.6967)\n </td>\n <td>\n 0.3 (0.7968)\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 QTL loci\n \n </td>\n <td>\n \n SNP\n \n </td>\n <td>\n \n Gene\n \n </td>\n <td>\n \n Protein\n \n </td>\n <td>\n \n Function\n \n </td>\n <td>\n \n Reference\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n QKLpur-1D\n \n </td>\n <td>\n S1D_445262848\n </td>\n <td>\n TraesCS1D01G363700\n </td>\n <td>\n Beta-galactosidase\n </td>\n <td>\n Regulate cytokinins\n </td>\n <td>\n Song et al., 2010\n </td>\n </tr>\n <tr>\n <td>\n \n QKLpur-2A.2\n \n </td>\n <td>\n S2A_719213280\n </td>\n <td>\n TraesCS2A01G483000\n </td>\n <td>\n Glycosyltransferase\n </td>\n <td>\n Role in the biosynthesis of oligosaccharides, polysaccharides, and glycoconjugates\n </td>\n <td>\n Breton et al., 2006; Lairson et al., 2008\n </td>\n </tr>\n <tr>\n <td>\n \n QKLpur-3A.1\n \n </td>\n <td>\n S3A_593313534\n </td>\n <td>\n TraesCS3A01G343800\n </td>\n <td>\n Photosystem I reaction center subunit VIII\n </td>\n <td>\n Photosynthesis\n </td>\n <td>\n Vinyard et al., 2013; Caffarri et al., 2014\n </td>\n </tr>\n <tr>\n <td>\n \n QKLpur-3A.2\n \n </td>\n <td>\n S3A_700575251\n </td>\n <td>\n TraesCS3A01G467300\n </td>\n <td>\n E3 ubiquitin-protein ligase BRE1-like 2\n </td>\n <td>\n Role in ubiquitin pathway\n </td>\n <td>\n Li and Li, 2014\n </td>\n </tr>\n <tr>\n <td>\n \n QKLpur-3A.2\n \n </td>\n <td>\n S3A_700575251\n </td>\n <td>\n TraesCS3A01G467000\n </td>\n <td>\n Late embryogenesis abundant (LEA) protein\n </td>\n <td>\n Role in desiccation tolerance\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n QKLpur-3A.3\n \n </td>\n <td>\n S3A_700575251\n </td>\n <td>\n TraesCS3A01G469200\n </td>\n <td>\n Late embryogenesis abundant (LEA) protein\n </td>\n <td>\n Role in desiccation tolerance\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n QKLpur-6A\n \n </td>\n <td>\n S6A_131449965\n </td>\n <td>\n TraesCS6A01G149200\n </td>\n <td>\n Ubiquitin-conjugating enzyme\n </td>\n <td>\n Role in ubiquitin pathway\n </td>\n <td>\n Li and Li, 2014\n </td>\n </tr>\n <tr>\n <td>\n \n QKLpur-6D\n \n </td>\n <td>\n S6D_436639209\n </td>\n <td>\n TraesCS6D01G334300\n </td>\n <td>\n Protein pelota homolog\n </td>\n <td>\n Role in meiotic cell division\n </td>\n <td>\n Eberhart and Wasserman, 1995; Caryl et al., 2000\n </td>\n </tr>\n <tr>\n <td>\n \n QKLpur-7A.3\n \n </td>\n <td>\n S7A_691163936\n </td>\n <td>\n TraesCS7A01G501600\n </td>\n <td>\n RING/U-box superfamily protein\n </td>\n <td>\n Role in ubiquitin pathway\n </td>\n <td>\n Yee and Goring, 2009\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 name\n \n </td>\n <td>\n \n Codon-optimized sequence\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n mature_il-1β\n \n </td>\n <td>\n <underline>\n CAT ATG\n </underline>\n GCC CCT GTA CGT TCC CTC AAT TGC ACC TTA CGC GAT AGT CAG CAG AAA TCT TTG GTG ATG TCA GGT CCC TAC GAA CTG AAA GCA CTC CAT CTG CAA GGA CAG GAT ATG GAA CAG CAA GTC GTG TTT AGC ATG AGC TTT GTA CAA GGC GAA GAA TCG AAC GAC AAA ATT CCA GTT GCT CTT GGC CTG AAA GAA AAG AAC CTG TAT CTG TCG TGT GTC TTG AAA GAT GAT AAA CCG ACA CTG CAG TTA GAA AGT GTT GAT CCG AAG AAT TAT CCG AAG AAG AAA ATG GAG AAA CGC TTT GTG TTC AAC AAA ATC GAG ATC AAC AAC AAA CTG GAG TTC GAA TCT GCG CAA TTT CCG AAT TGG TAC ATT AGC ACC TCA CAG GCG GAA AAT ATG CCA GTG TTT CTG GGT GGG ACT AAA GGC GGT CAG GAC ATT ACG GAC TTC ACC ATG CAG TTC GTT TCC AGC TAA\n <underline>\n CTC GAG\n </underline>\n </td>\n </tr>\n <tr>\n <td>\n \n emhofQ_L1\n \n </td>\n <td>\n <underline>\n CAT ATG\n </underline>\n CAG AAT CCG GTG TTC TCG ATT CGC TTG AAA CAA GCG CCA CTC GTA CCG ACT TTA CAG CAG TTG GCG TTA GCG CAT AAC ACC AAC CTG ATT ATC GAC GAT GAA CTG CAA GGT ACG GTG AGT CTG CAA CTG GAA AAC GTG GAT CTG GAC CAG CTC TTT CGT AGC GTT GCG AAG ATT AAG CAG CTG GAT CTG TGG CAG GAG AAT GGC ATC TAT TAC TTC ACC AAA GGC GAT ACC AAC ACG AAA TTT GCG GGG AAA ATG GAG GAA CCG TTT CCG TTA TCT CTG CCT ATG GCC GAA GAA CCC GCT CAG CTT AAC ACA GCC ACC ATC AAA CTT GCA GCT GCA GCA GCC TCT GAA GTC ATG AAA TCG CTC ACT GGT GGT TCA GGA AGC CTG CTT TCC CCA AAT GGC TCC ATT ACG TTC GAT GAC CGC AGC AAT TTG CTG CTG ATT CAG GAT GAA CCT CGT AGT GTT CGC AAC ATC AAG AAA CTG ATC AAA GAG CTG GAC AAA CCG ATT GAA CAA\n <underline>\n CTC GAG\n </underline>\n </td>\n </tr>\n <tr>\n <td>\n \n emhofQ_L2\n \n </td>\n <td>\n <underline>\n CAT ATG\n </underline>\n CAG AAT CCG GTG TTC TCC ATT CGT CTG AAA CAA GCA CCT CTC GTT CCG ACA CTT CAG CAG TTA GCG TTA GCC CAT AAC ACC AAC CTG ATT ATT GAC GAT GAA CTC CAA GGC ACG GTT AGC CTG CAA CTG GAG AAT GTG GAC TTG GAT CAG CTG TTT CGC AGT GTA GCG AAA ATC AAA CAG CTG GAT CTT TGG CAG GAA AAC GGG ATC TAC TAT TTC ACC AAA GGT GAT ACG AAC ACC AAA TTT GCG GGC AAA ATG GAG GAA CCG TTT CCG CTT AGC CTG CCA ATG GCA GAA GAA CCA GCT CAG TTG AAT ACT GCG ACG ATC AAA CTG CAC TTT GCC AAA GCT TCC GAA GTG ATG AAG TCG TTG ACT GGT GGT AGC GGA TCT CTG CTC TCA CCG AAT GGC TCG ATT ACC TTC GAT GCA GCC TCT AAC CTG TTA CTG ATT CAA GAC GAA CCT CGT AGT GTC CGC AAC ATC AAG AAG CTG ATC AAA GAG CTG GAT AAA CCC ATT GAA CAG\n <underline>\n CTC GAG\n </underline>\n </td>\n </tr>\n <tr>\n <td>\n \n emhofQ_L1L2\n \n </td>\n <td>\n <underline>\n CAT ATG\n </underline>\n CAG AAT CCC GTT TTC AGC ATT CGC CTG AAA CAA GCG CCT TTG GTA CCG ACC CTT CAG CAG TTA GCC TTG GCG CAT AAC ACC AAC CTG ATT ATT GAC GAT GAA CTG CAA GGT ACT GTG TCT CTG CAG TTA GAG AAT GTG GAT CTG GAC CAG TTG TTC CGT TCA GTC GCG AAA ATC AAA CAG CTT GAT CTG TGG CAA GAG AAC GGC ATC TAC TAT TTC ACG AAG GGT GAT ACC AAC ACC AAA TTT GCC GGG AAA ATG GAA GAA CCG TTT CCG CTG TCG TTA CCT ATG GCT GAA GAA CCA GCG CAA CTC AAC ACA GCG ACG ATC AAA CTG GCT GCT GCA GCC GCA AGT GAA GTG ATG AAA TCC CTG ACT GGA GGT AGT GGC TCT CTG CTG TCC CCG AAT GGC TCG ATT ACG TTT GAT GCC GCA AGC AAT CTT CTC CTG ATT CAG GAT GAA CCA CGT AGC GTT CGC AAC ATC AAG AAG CTC ATC AAA GAG CTG GAC AAA CCG ATT GAA CAG\n <underline>\n CTC GAG\n </underline>\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 <sup>\n a\n </sup>\n \n </td>\n <td>\n \n Sequence (5′→3′)\n \n </td>\n <td>\n \n Product size\n \n </td>\n <td>\n \n Reference\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n eta\n \n -F\n </td>\n <td>\n TTTGCTTTCTTGATTTGGATTC\n </td>\n <td rowspan=\"2\">\n 464 bp\n </td>\n <td rowspan=\"2\">\n (13)\n </td>\n </tr>\n <tr>\n <td>\n \n eta\n \n -R\n </td>\n <td>\n GATGTGTTCGGTTTGATTGAC\n </td>\n </tr>\n <tr>\n <td>\n \n etb\n \n -F\n </td>\n <td>\n ACAAGCAAAAGAATACAGCG\n </td>\n <td rowspan=\"2\">\n 226 bp\n </td>\n <td rowspan=\"2\">\n (19)\n </td>\n </tr>\n <tr>\n <td>\n \n etb\n \n -R\n </td>\n <td>\n GTTTTTGGCTGCTTCTCTTG\n </td>\n </tr>\n <tr>\n <td>\n \n etd\n \n -F\n </td>\n <td>\n AACTATCATGTATCAAGG\n </td>\n <td rowspan=\"2\">\n 376 bp\n </td>\n <td rowspan=\"2\">\n (31)\n </td>\n </tr>\n <tr>\n <td>\n \n etd\n \n -R\n </td>\n <td>\n CAGAATTTCCCGACTCAG\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 Current Eligibility\n \n </td>\n <td colspan=\"2\">\n \n Cumulative Eligibility\n \n </td>\n </tr>\n <tr>\n <td>\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 </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n NBCT\n </td>\n <td>\n 0.0202⁎⁎⁎\n </td>\n <td>\n 0.0280⁎⁎⁎\n </td>\n <td>\n 0.0115⁎⁎⁎\n </td>\n <td>\n 0.0164⁎⁎⁎\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n (0.0068)\n </td>\n <td>\n (0.0054)\n </td>\n <td>\n (0.0039)\n </td>\n <td>\n (0.0032)\n </td>\n </tr>\n <tr>\n <td>\n \n N\n \n </td>\n <td>\n 6,877\n </td>\n <td>\n 6,789\n </td>\n <td>\n 6,877\n </td>\n <td>\n 6,789\n </td>\n </tr>\n <tr>\n <td>\n Covariates\n </td>\n <td>\n N\n </td>\n <td>\n Y\n </td>\n <td>\n N\n </td>\n <td>\n Y\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 Floor (%)\n \n </td>\n <td>\n \n Ceiling (%)\n \n </td>\n <td>\n \n Missing (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Patient-reported outcome\n </td>\n <td colspan=\"3\">\n </td>\n </tr>\n <tr>\n <td>\n Q.8 Problem related to health*\n </td>\n <td>\n 59.1\n </td>\n <td>\n 32.3\n </td>\n <td>\n 8.6\n </td>\n </tr>\n <tr>\n <td>\n Q.9 Mobility aids or assistive devices\n </td>\n <td>\n 0.1\n </td>\n <td>\n 0\n </td>\n <td>\n 11.5\n </td>\n </tr>\n <tr>\n <td>\n Q.10 Pain medications\n </td>\n <td>\n 3.0\n </td>\n <td>\n 14.6\n </td>\n <td>\n 12.3\n </td>\n </tr>\n <tr>\n <td>\n Q.11.1 Acute pain (activities)\n </td>\n <td>\n 0.7\n </td>\n <td>\n 33.1\n </td>\n <td>\n 12.8\n </td>\n </tr>\n <tr>\n <td>\n Q.11.2 Acute pain (interference)\n </td>\n <td>\n 0.3\n </td>\n <td>\n 33.2\n </td>\n <td>\n 12.8\n </td>\n </tr>\n <tr>\n <td>\n Q.12.1 Chronic pain (activities)\n </td>\n <td>\n 1.4\n </td>\n <td>\n 32.6\n </td>\n <td>\n 13.5\n </td>\n </tr>\n <tr>\n <td>\n Q.12.2 Chronic pain (interference)\n </td>\n <td>\n 0.1\n </td>\n <td>\n 33.6\n </td>\n <td>\n 13.5\n </td>\n </tr>\n <tr>\n <td>\n Q.13 Daily activities\n </td>\n <td>\n 0.1\n </td>\n <td>\n 42.4\n </td>\n <td>\n 14.3\n </td>\n </tr>\n <tr>\n <td>\n Q.14 Work/school life\n </td>\n <td>\n 0.1\n </td>\n <td>\n 27.8\n </td>\n <td>\n 21.8\n </td>\n </tr>\n <tr>\n <td>\n Q.15 Joint surgery or procedure\n </td>\n <td>\n 1.3\n </td>\n <td>\n 52.4\n </td>\n <td>\n 17.0\n </td>\n </tr>\n <tr>\n <td>\n Q.16 Comorbid diseases\n </td>\n <td>\n 0\n </td>\n <td>\n 56.1\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Haemophilia-related health\n </td>\n <td colspan=\"3\">\n </td>\n </tr>\n <tr>\n <td>\n Q.17 Severity\n </td>\n <td>\n N/A\n </td>\n <td>\n N/A\n </td>\n <td>\n 17.3\n </td>\n </tr>\n <tr>\n <td>\n Q.18 Inhibitor status\n </td>\n <td>\n N/A\n </td>\n <td>\n N/A\n </td>\n <td>\n 19.1\n </td>\n </tr>\n <tr>\n <td>\n Q.19 Bleeding in the past 12 months\n </td>\n <td>\n 16.6\n </td>\n <td>\n 8.5\n </td>\n <td>\n 18.2\n </td>\n </tr>\n <tr>\n <td>\n Q.20 Bleeding in the past 2 weeks\n </td>\n <td>\n N/A\n </td>\n <td>\n N/A\n </td>\n <td>\n 18.9\n </td>\n </tr>\n <tr>\n <td>\n Q.21 Haemophilia treatment centre\n </td>\n <td>\n N/A\n </td>\n <td>\n N/A\n </td>\n <td>\n 19.4\n </td>\n </tr>\n <tr>\n <td>\n Q.25 Target joints\n </td>\n <td>\n N/A\n </td>\n <td>\n N/A\n </td>\n <td>\n 22.6\n </td>\n </tr>\n <tr>\n <td>\n Q. 26 Spontaneous joint bleeding\n </td>\n <td>\n N/A\n </td>\n <td>\n N/A\n </td>\n <td>\n 49.4\n </td>\n </tr>\n <tr>\n <td>\n Q.27 Limitation of range of motion*\n </td>\n <td>\n 66.6\n </td>\n <td>\n 11.4\n </td>\n <td>\n 22.0\n </td>\n </tr>\n <tr>\n <td>\n Q.28 Life-threatening or limb-threatening bleeding*\n </td>\n <td>\n 15.2\n </td>\n <td>\n 62.1\n </td>\n <td>\n 22.8\n </td>\n </tr>\n <tr>\n <td>\n EQ-5D-5L and EQ-VAS\n </td>\n <td colspan=\"3\">\n </td>\n </tr>\n <tr>\n <td>\n Mobility\n </td>\n <td>\n 1.1\n </td>\n <td>\n 32.4\n </td>\n <td>\n 21.6\n </td>\n </tr>\n <tr>\n <td>\n Self-care\n </td>\n <td>\n 0.7\n </td>\n <td>\n 55.0\n </td>\n <td>\n 22.3\n </td>\n </tr>\n <tr>\n <td>\n Usual activities\n </td>\n <td>\n 0.7\n </td>\n <td>\n 37.9\n </td>\n <td>\n 22.4\n </td>\n </tr>\n <tr>\n <td>\n Pain/discomfort\n </td>\n <td>\n 1.1\n </td>\n <td>\n 23.9\n </td>\n <td>\n 22.9\n </td>\n </tr>\n <tr>\n <td>\n Anxiety/depression\n </td>\n <td>\n 1.6\n </td>\n <td>\n 37.3\n </td>\n <td>\n 22.8\n </td>\n </tr>\n <tr>\n <td>\n VAS\n </td>\n <td>\n 0\n </td>\n <td>\n 3.1\n </td>\n <td>\n 22.8\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Themes\n \n </td>\n <td>\n \n No. (percent) of integrated problem- and lecture-based learning teaching mode\n \n </td>\n <td>\n \n No. (percent) of lecture-based learning teaching model\n \n </td>\n <td>\n \n χ\n <sup>\n 2\n </sup>\n \n </td>\n <td>\n \n \n P\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Which teaching model do you like?\n </td>\n <td>\n 46(76.7%)\n </td>\n <td>\n 14(23.3%)\n </td>\n <td>\n 34.133\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n Which teaching model can make your ability of self-study be improved?\n </td>\n <td>\n 53(88.3%)\n </td>\n <td>\n 7(11.7%)\n </td>\n <td>\n 70.533\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n Which teaching model can improve your language competence?\n </td>\n <td>\n 55(91.7%)\n </td>\n <td>\n 5(8.3%)\n </td>\n <td>\n 83.333\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n Which teaching model can cultivate the team cooperation spirit?\n </td>\n <td>\n 54(90.0%)\n </td>\n <td>\n 6(10.0%)\n </td>\n <td>\n 76.800\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n Which teaching model can train your the basic skills?\n </td>\n <td>\n 58(96.7%)\n </td>\n <td>\n 2(3.3%)\n </td>\n <td>\n 104.533\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n Which teaching model can cultivate your ability to find, ask, analyze and solve the problems?\n </td>\n <td>\n 57(95.0%)\n </td>\n <td>\n 3(5%)\n </td>\n <td>\n 97.200\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n Which teaching model can cultivate active classroom atmosphere?\n </td>\n <td>\n 59(98.3%)\n </td>\n <td>\n 1(1.7%)\n </td>\n <td>\n 112.133\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n Which teaching model can expand your personal confidence?\n </td>\n <td>\n 58(96.7%)\n </td>\n <td>\n 2(3.3%)\n </td>\n <td>\n 104.533\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n Which teaching model can strengthen teacher-student emotion blend?\n </td>\n <td>\n 54(90.0%)\n </td>\n <td>\n 6(10.0%)\n </td>\n <td>\n 76.800\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n Which teaching model can strengthen student-student communication?\n </td>\n <td>\n 54(90.0%)\n </td>\n <td>\n 6(10.0%)\n </td>\n <td>\n 76.800\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n Which teaching model can increase pressure on going to class?\n </td>\n <td>\n 58(96.7%)\n </td>\n <td>\n 2(3.3%)\n </td>\n <td>\n 104.533\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n Which teaching model, do you think, takes your too much spare time?\n </td>\n <td>\n 35(58.3%)\n </td>\n <td>\n 25(41.7%)\n </td>\n <td>\n 3.333\n </td>\n <td>\n 0.068\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 Themes\n \n </td>\n <td>\n \n Sub-themes\n \n </td>\n <td>\n \n Emotion-focused responses (Adjusted Residual)\n \n </td>\n <td>\n \n Content-focused responses (Adjusted Residual)\n \n </td>\n <td>\n \n Ignoring/blocking responses (Adjusted Residual)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td rowspan=\"4\">\n Relationships with others\n </td>\n <td>\n Being a burden\n </td>\n <td>\n 11 (−3,1)*\n </td>\n <td>\n 23 (2,8)*\n </td>\n <td>\n 5 (0,3)\n </td>\n </tr>\n <tr>\n <td>\n Losing self-government\n </td>\n <td>\n 1 (0,2)\n </td>\n <td>\n 1 (0,1)\n </td>\n <td>\n 0 (−0,5)\n </td>\n </tr>\n <tr>\n <td>\n Losing social ties\n </td>\n <td>\n 13 (3,1)*\n </td>\n <td>\n 3 (− 3,0)*\n </td>\n <td>\n 2 (− 0,1)\n </td>\n </tr>\n <tr>\n <td>\n \n Sum, n (%)*\n \n </td>\n <td>\n \n 25 (42)\n \n </td>\n <td>\n \n 27 (46)\n \n </td>\n <td>\n \n 7 (12)\n \n </td>\n </tr>\n <tr>\n <td rowspan=\"3\">\n Health care-related issues\n </td>\n <td>\n Exacerbating the problem\n </td>\n <td>\n 22 (0,0)\n </td>\n <td>\n 20 (0,0)\n </td>\n <td>\n 8 (−0,1)\n </td>\n </tr>\n <tr>\n <td>\n Unhelpful help\n </td>\n <td>\n 21 (0,0)\n </td>\n <td>\n 19 (0,0)\n </td>\n <td>\n 8 (0,1)\n </td>\n </tr>\n <tr>\n <td>\n \n Sum, n (%)\n \n </td>\n <td>\n \n 43 (44)\n \n </td>\n <td>\n \n 39 (40)\n \n </td>\n <td>\n \n 16 (16)\n \n </td>\n </tr>\n <tr>\n <td rowspan=\"3\">\n Aging and bodily impairment\n </td>\n <td>\n Coping with existential challenges\n <sup>\n a\n </sup>\n </td>\n <td>\n 149 (3,2)*\n </td>\n <td>\n 89 (0,3)\n </td>\n <td>\n 55 (− 4,0)*\n </td>\n </tr>\n <tr>\n <td>\n Expression of pain felt in the moment\n </td>\n <td>\n 45 (−3,2)*\n </td>\n <td>\n 38 (0-,3)\n </td>\n <td>\n 48 (4,0)*\n </td>\n </tr>\n <tr>\n <td>\n \n Sum, n (%)*\n \n </td>\n <td>\n \n 194 (46)\n \n </td>\n <td>\n \n 127 (30)\n \n </td>\n <td>\n \n 103 (24)\n \n </td>\n </tr>\n <tr>\n <td rowspan=\"3\">\n Life narratives and value issues\n </td>\n <td>\n Life narratives\n </td>\n <td>\n 37 (1,0)\n </td>\n <td>\n 10 (−0,2)\n </td>\n <td>\n 4 (−1,3)\n </td>\n </tr>\n <tr>\n <td>\n Value issues\n </td>\n <td>\n 5 (−1,0)\n </td>\n <td>\n 2 (0,2)\n </td>\n <td>\n 2 (1,3)\n </td>\n </tr>\n <tr>\n <td>\n \n Sum, n (%)\n \n </td>\n <td>\n \n 42 (70)\n \n </td>\n <td>\n \n 12 (20)\n \n </td>\n <td>\n \n 6 (10)\n \n </td>\n </tr>\n <tr>\n <td>\n Total responses\n <sup>\n a\n </sup>\n </td>\n <td>\n \n n\n \n = 641 (100%)\n </td>\n <td>\n \n n\n \n = 304 (47%)\n </td>\n <td>\n \n n\n \n = 205 (32%)\n </td>\n <td>\n \n n\n \n = 132 (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 \n Sub-district\n \n </td>\n <td>\n \n Facility\n \n </td>\n <td>\n \n Years of experience post basic\n \n </td>\n <td>\n \n Years of experience post curative\n \n </td>\n <td>\n \n Total hours worked\n \n </td>\n <td>\n \n Total number of patients seen\n \n </td>\n <td>\n \n Total nursing staff capacity (all categories)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Sub-district 1\n </td>\n <td>\n Fixed facility 1\n </td>\n <td>\n 6\n </td>\n <td>\n 3\n </td>\n <td>\n 09:05\n </td>\n <td>\n 27\n </td>\n <td>\n 10\n </td>\n </tr>\n <tr>\n <td>\n Sub-district 2\n </td>\n <td>\n Fixed facility 2\n </td>\n <td>\n 11\n </td>\n <td>\n 4\n </td>\n <td>\n 09:00\n </td>\n <td>\n 12\n </td>\n <td>\n 7\n </td>\n </tr>\n <tr>\n <td>\n Sub-district 3\n </td>\n <td>\n Fixed facility 3\n </td>\n <td>\n 19\n </td>\n <td>\n 4\n </td>\n <td>\n 09:00\n </td>\n <td>\n 23\n </td>\n <td>\n 7\n </td>\n </tr>\n <tr>\n <td>\n Sub-district 1\n </td>\n <td>\n Fixed facility 4\n </td>\n <td>\n 21\n </td>\n <td>\n 9\n </td>\n <td>\n 09:00\n </td>\n <td>\n 19\n </td>\n <td>\n 7\n </td>\n </tr>\n <tr>\n <td>\n Sub-district 4\n </td>\n <td>\n Fixed facility 5\n </td>\n <td>\n 29\n </td>\n <td>\n 8\n </td>\n <td>\n 08:27\n </td>\n <td>\n 33\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n Sub-district 5\n </td>\n <td>\n Fixed facility 6\n </td>\n <td>\n 38\n </td>\n <td>\n 9\n </td>\n <td>\n 08:57\n </td>\n <td>\n 34\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Sub-district 4\n </td>\n <td>\n Fixed facility 7\n </td>\n <td>\n 6\n </td>\n <td>\n 4\n </td>\n <td>\n 09:00\n </td>\n <td>\n 35\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Sub-district 3\n </td>\n <td>\n Fixed facility 8\n </td>\n <td>\n 19\n </td>\n <td>\n 6\n </td>\n <td>\n 08:56\n </td>\n <td>\n 36\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Sub-district 5\n </td>\n <td>\n Fixed facility 9\n </td>\n <td>\n 13\n </td>\n <td>\n 2\n </td>\n <td>\n 09:00\n </td>\n <td>\n 31\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Sub-district 2\n </td>\n <td>\n Fixed facility 10\n </td>\n <td>\n 36\n </td>\n <td>\n 4\n </td>\n <td>\n 08:49\n </td>\n <td>\n 23\n </td>\n <td>\n 6\n </td>\n </tr>\n <tr>\n <td>\n Sub-district 1\n </td>\n <td>\n Fixed facility 11\n </td>\n <td>\n 28\n </td>\n <td>\n 8\n </td>\n <td>\n 09:15\n </td>\n <td>\n 40\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Sub-district 4\n </td>\n <td>\n Fixed facility 12\n </td>\n <td>\n 27\n </td>\n <td>\n 8\n </td>\n <td>\n 08:59\n </td>\n <td>\n 40\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Sub-district 3\n </td>\n <td>\n Mobile facility 1\n </td>\n <td>\n 28\n </td>\n <td>\n 2\n </td>\n <td>\n 09:00\n </td>\n <td>\n 44\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Sub-district 5\n </td>\n <td>\n Mobile facility 2\n </td>\n <td>\n 18\n </td>\n <td>\n 9\n </td>\n <td>\n 08:30\n </td>\n <td>\n 55\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Sub-district 4\n </td>\n <td>\n Mobile facility 3\n </td>\n <td>\n 32\n </td>\n <td>\n 8\n </td>\n <td>\n 09:15\n </td>\n <td>\n 78\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n \n Total\n \n </td>\n <td>\n \n -\n \n </td>\n <td>\n \n -\n \n </td>\n <td>\n \n -\n \n </td>\n <td>\n \n 134:13\n \n </td>\n <td>\n \n 530\n \n </td>\n <td>\n \n -\n \n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Rice\n \n </td>\n <td>\n \n Coconut\n \n </td>\n <td>\n \n Maize\n \n </td>\n <td>\n \n Pea\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Random descent\n </td>\n <td>\n 0.1500 ± 1.83e-04\n </td>\n <td>\n 0.5748 ± 5.22e-04\n </td>\n <td>\n 0.4332 ± 2.73e-04\n </td>\n <td>\n 0.3337 ± 1.70e-03\n </td>\n </tr>\n <tr>\n <td>\n Parallel tempering\n </td>\n <td>\n 0.1508 ± 1.40e-15\n </td>\n <td>\n 0.5759 ± 2.12e-06\n </td>\n <td>\n 0.4359 ± 8.56e-05\n </td>\n <td>\n 0.3412 ± 1.46e-04\n </td>\n </tr>\n <tr>\n <td>\n Genetic algorithm\n </td>\n <td>\n 0.1506 ± 1.12e-04\n </td>\n <td>\n 0.5755 ± 1.04e-04\n </td>\n <td>\n 0.4346 ± 3.45e-04\n </td>\n <td>\n 0.3386 ± 8.00e-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 Length (bp)\n \n </td>\n <td>\n \n Position\n \n </td>\n <td>\n \n Plastid genes contained\n \n </td>\n <td>\n \n Identity (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 1878\n </td>\n <td>\n 282,896–284,773\n </td>\n <td>\n \n trnL\n \n (\n \n CAA\n \n )–\n \n ndhB\n \n (partial)\n </td>\n <td>\n 80.41\n </td>\n </tr>\n <tr>\n <td>\n 1438\n </td>\n <td>\n 328,952–330,389\n </td>\n <td>\n \n psaB\n \n (partial)\n </td>\n <td>\n 84.87\n </td>\n </tr>\n <tr>\n <td>\n 1428\n </td>\n <td>\n 275,870–277,297\n </td>\n <td>\n \n ycf2\n \n (partial)\n </td>\n <td>\n 87.60\n </td>\n </tr>\n <tr>\n <td>\n 1426\n </td>\n <td>\n 327,426–328,851\n </td>\n <td>\n \n psaB\n \n (partial)–\n \n psaA\n \n (partial)\n </td>\n <td>\n 89.12\n </td>\n </tr>\n <tr>\n <td>\n 1194\n </td>\n <td>\n 592,277–593,470\n </td>\n <td>\n \n ndhJ\n \n –\n \n ndhK\n \n (partial)\n </td>\n <td>\n 80.83\n </td>\n </tr>\n <tr>\n <td>\n 1059\n </td>\n <td>\n 299,952–301,010\n </td>\n <td>\n \n petG\n \n (partial)–\n \n trnW\n \n (\n \n CCA\n \n )–\n \n trnP\n \n (\n \n UGG\n \n )–\n \n psaJ\n \n </td>\n <td>\n 85.62\n </td>\n </tr>\n <tr>\n <td>\n 857\n </td>\n <td>\n 412,364–413,220\n </td>\n <td>\n 16S rRNA (partial)\n </td>\n <td>\n 74.04\n </td>\n </tr>\n <tr>\n <td>\n 510\n </td>\n <td>\n 538,489–538,998\n </td>\n <td>\n \n ycf4\n \n (partial)\n </td>\n <td>\n 81.88\n </td>\n </tr>\n <tr>\n <td>\n 447\n </td>\n <td>\n 11,109–11,555\n </td>\n <td>\n \n ndhF\n \n (partial)\n </td>\n <td>\n 81.68\n </td>\n </tr>\n <tr>\n <td>\n 404\n </td>\n <td>\n 10,606–11,009\n </td>\n <td>\n \n ndhA\n \n (partial)\n </td>\n <td>\n 90.59\n </td>\n </tr>\n <tr>\n <td>\n 380\n </td>\n <td>\n 330,507–330,886\n </td>\n <td>\n \n psaB\n \n (partial)\n </td>\n <td>\n 78.74\n </td>\n </tr>\n <tr>\n <td>\n 370\n </td>\n <td>\n 278,097–278,466\n </td>\n <td>\n none\n </td>\n <td>\n 80.67\n </td>\n </tr>\n <tr>\n <td>\n 346\n </td>\n <td>\n 79,612–79,957\n </td>\n <td>\n 16S rRNA (partial)\n </td>\n <td>\n 97.11\n </td>\n </tr>\n <tr>\n <td>\n 331\n </td>\n <td>\n 593,561–593,891\n </td>\n <td>\n \n trnF\n \n (\n \n GAA\n \n )\n </td>\n <td>\n 84.10\n </td>\n </tr>\n <tr>\n <td>\n 268\n </td>\n <td>\n 277,340–277,607\n </td>\n <td>\n \n ycf2\n \n (partial)\n </td>\n <td>\n 81.48\n </td>\n </tr>\n <tr>\n <td>\n 258\n </td>\n <td>\n 111,292–111,549\n </td>\n <td>\n none\n </td>\n <td>\n 83.02\n </td>\n </tr>\n <tr>\n <td>\n 104\n </td>\n <td>\n 449,246–449,349\n </td>\n <td>\n \n trnQ\n \n (\n \n UUG\n \n )\n </td>\n <td>\n 95.19\n </td>\n </tr>\n <tr>\n <td>\n 103\n </td>\n <td>\n 436,536–436,638\n </td>\n <td>\n \n trnS\n \n (\n \n UGA\n \n ) (partial)\n </td>\n <td>\n 83.50\n </td>\n </tr>\n <tr>\n <td>\n 97\n </td>\n <td>\n 135,004–135,100\n </td>\n <td>\n \n trnN\n \n (\n \n GUU\n \n )\n </td>\n <td>\n 91.75\n </td>\n </tr>\n <tr>\n <td>\n 97\n </td>\n <td>\n 395,827–395,923\n </td>\n <td>\n 23S rRNA (partial)\n </td>\n <td>\n 81.63\n </td>\n </tr>\n <tr>\n <td>\n 78\n </td>\n <td>\n 132,465–132,542\n </td>\n <td>\n \n trnM\n \n (\n \n CAU\n \n )\n </td>\n <td>\n 92.31\n </td>\n </tr>\n <tr>\n <td>\n 55\n </td>\n <td>\n 277,989–278,043\n </td>\n <td>\n \n ycf2\n \n (partial)\n </td>\n <td>\n 94.55\n </td>\n </tr>\n <tr>\n <td>\n 38\n </td>\n <td>\n 328,916–328,953\n </td>\n <td>\n \n psaB\n \n (partial)\n </td>\n <td>\n 94.87\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Question\n \n </td>\n <td>\n \n Frequency of responses\n \n </td>\n <td>\n \n Percentage\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"3\">\n \n Q1.1 In which province do you reside?\n \n </td>\n </tr>\n <tr>\n <td>\n Gauteng\n </td>\n <td>\n 168\n </td>\n <td>\n 42.5\n </td>\n </tr>\n <tr>\n <td>\n Western Cape\n </td>\n <td>\n 94\n </td>\n <td>\n 23.8\n </td>\n </tr>\n <tr>\n <td>\n Northern Cape\n </td>\n <td>\n 5\n </td>\n <td>\n 1.3\n </td>\n </tr>\n <tr>\n <td>\n Eastern Cape\n </td>\n <td>\n 23\n </td>\n <td>\n 5.8\n </td>\n </tr>\n <tr>\n <td>\n Free State\n </td>\n <td>\n 26\n </td>\n <td>\n 6.6\n </td>\n </tr>\n <tr>\n <td>\n North West\n </td>\n <td>\n 6\n </td>\n <td>\n 1.5\n </td>\n </tr>\n <tr>\n <td>\n Mpumalanga\n </td>\n <td>\n 14\n </td>\n <td>\n 3.5\n </td>\n </tr>\n <tr>\n <td>\n Limpopo\n </td>\n <td>\n 11\n </td>\n <td>\n 2.8\n </td>\n </tr>\n <tr>\n <td>\n KwaZulu-Natal\n </td>\n <td>\n 48\n </td>\n <td>\n 12.2\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 395\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n \n Q1.2 What is your age?\n \n </td>\n </tr>\n <tr>\n <td>\n 20–30\n </td>\n <td>\n 104\n </td>\n <td>\n 26.3\n </td>\n </tr>\n <tr>\n <td>\n 31–40\n </td>\n <td>\n 145\n </td>\n <td>\n 36.7\n </td>\n </tr>\n <tr>\n <td>\n 41–50\n </td>\n <td>\n 74\n </td>\n <td>\n 18.7\n </td>\n </tr>\n <tr>\n <td>\n 51–60\n </td>\n <td>\n 52\n </td>\n <td>\n 13.2\n </td>\n </tr>\n <tr>\n <td>\n 61–70\n </td>\n <td>\n 20\n </td>\n <td>\n 5.1\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 395\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n \n Q 1.3 What is your gender?\n \n </td>\n </tr>\n <tr>\n <td>\n Female\n </td>\n <td>\n 347\n </td>\n <td>\n 87.9\n </td>\n </tr>\n <tr>\n <td>\n Male\n </td>\n <td>\n 48\n </td>\n <td>\n 12.1\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 395\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n \n Q 1.4 What is your marital status?\n \n </td>\n </tr>\n <tr>\n <td>\n Single\n </td>\n <td>\n 54\n </td>\n <td>\n 13.7\n </td>\n </tr>\n <tr>\n <td>\n In a relationship\n </td>\n <td>\n 22\n </td>\n <td>\n 5.6\n </td>\n </tr>\n <tr>\n <td>\n Living together\n </td>\n <td>\n 23\n </td>\n <td>\n 5.8\n </td>\n </tr>\n <tr>\n <td>\n Married\n </td>\n <td>\n 272\n </td>\n <td>\n 68.8\n </td>\n </tr>\n <tr>\n <td>\n Divorced\n </td>\n <td>\n 18\n </td>\n <td>\n 4.6\n </td>\n </tr>\n <tr>\n <td>\n Widowed\n </td>\n <td>\n 6\n </td>\n <td>\n 1.5\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 395\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n \n Q 1.5 What is your highest level of education?\n \n </td>\n </tr>\n <tr>\n <td>\n Undergraduate\n </td>\n <td>\n 57\n </td>\n <td>\n 14.4\n </td>\n </tr>\n <tr>\n <td>\n Four-year degree\n </td>\n <td>\n 249\n </td>\n <td>\n 63.1\n </td>\n </tr>\n <tr>\n <td>\n Master’s\n </td>\n <td>\n 59\n </td>\n <td>\n 14.9\n </td>\n </tr>\n <tr>\n <td>\n Doctorate\n </td>\n <td>\n 5\n </td>\n <td>\n 1.3\n </td>\n </tr>\n <tr>\n <td>\n Other\n </td>\n <td>\n 25\n </td>\n <td>\n 6.3\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 395\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n \n Q 1.6 What is the tenure of your experience as a physiotherapist in the private sector?\n \n </td>\n </tr>\n <tr>\n <td>\n 0–10 years\n </td>\n <td>\n 174\n </td>\n <td>\n 44.0\n </td>\n </tr>\n <tr>\n <td>\n 11–20 years\n </td>\n <td>\n 121\n </td>\n <td>\n 30.6\n </td>\n </tr>\n <tr>\n <td>\n 21–30 years\n </td>\n <td>\n 67\n </td>\n <td>\n 16.9\n </td>\n </tr>\n <tr>\n <td>\n 31–40 years\n </td>\n <td>\n 24\n </td>\n <td>\n 6.2\n </td>\n </tr>\n <tr>\n <td>\n 40+ years\n </td>\n <td>\n 9\n </td>\n <td>\n 2.3\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 395\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td colspan=\"3\">\n \n Q 1.7 Are you a physiotherapy private practice owner?\n \n </td>\n </tr>\n <tr>\n <td>\n Yes\n </td>\n <td>\n 262\n </td>\n <td>\n 66.3\n </td>\n </tr>\n <tr>\n <td>\n No\n </td>\n <td>\n 133\n </td>\n <td>\n 33.7\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 395\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>\n </td>\n <td>\n \n Phylogenetic effect\n \n </td>\n <td>\n \n Intercept\n \n </td>\n <td>\n \n Sexual maturity\n \n </td>\n <td>\n \n Body Mass\n \n </td>\n <td>\n \n Maturity : mass\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Length\n </td>\n <td>\n \n 0.592 (0.121, 1.063)\n \n </td>\n <td>\n 9.461 (−10.117, 29.038)\n </td>\n <td>\n −3.989 (−10.434, 2.457)\n </td>\n <td>\n \n 18.033 (11.027, 25.038)\n \n </td>\n <td>\n −2.759 (−11.103, 5.585)\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n Tip position\n </td>\n </tr>\n <tr>\n <td>\n Above\n </td>\n <td>\n \n 2.044 (0.606, 4.088)\n \n </td>\n <td>\n −0.042 (−1.617, 1.316)\n </td>\n <td>\n −0.448 (−1.257, 0.610)\n </td>\n <td>\n 0.977 (−0.093, 1.722)\n </td>\n <td>\n −0.953 (−2.012, 0.625)\n </td>\n </tr>\n <tr>\n <td>\n Below\n </td>\n <td>\n \n 5.985 (7.496, 11.970)\n \n </td>\n <td>\n \n −3.532 (−6.553, −3.682)\n \n </td>\n <td>\n −0.400 (−1.177, 1.143)\n </td>\n <td>\n 0.143 (−0.779, 1.215)\n </td>\n <td>\n −0.280 (−1.463, 1.215)\n </td>\n </tr>\n <tr>\n <td>\n In front\n </td>\n <td>\n \n 2.068 (0.269, 4.135)\n \n </td>\n <td>\n \n −2.826 (−4.623, −1.940)\n \n </td>\n <td>\n −1.049 (−2.086, 0.491)\n </td>\n <td>\n 0.557 (−0.360, 1.676)\n </td>\n <td>\n 0.231 (−0.898, 1.885)\n </td>\n </tr>\n <tr>\n <td>\n Behind\n </td>\n <td>\n \n 4.060 (4.226, 8.121)\n \n </td>\n <td>\n 0.106 (−1.472, 1.875)\n </td>\n <td>\n −0.563 (−1.485, 0.461)\n </td>\n <td>\n \n 0.974 (0.050, 1.884)\n \n </td>\n <td>\n −1.261 (−2.473, 0.231)\n </td>\n </tr>\n <tr>\n <td>\n On side\n </td>\n <td>\n \n 5.241 (6.274, 10.481)\n \n </td>\n <td>\n \n −1.841 (−3.960, −0.626)\n \n </td>\n <td>\n −0.376 (−1.192, 0.806)\n </td>\n <td>\n \n 0.987 (0.120, 1.983)\n \n </td>\n <td>\n −0.143 (−1.318, 1.061)\n </td>\n </tr>\n <tr>\n <td>\n In line\n </td>\n <td>\n \n 1.935 (0.667, 3.869)\n \n </td>\n <td>\n −0.392 (−1.655, 0.961)\n </td>\n <td>\n −0.489 (−1.283, 0.527)\n </td>\n <td>\n 0.382 (−0.383, 1.138)\n </td>\n <td>\n −1.023 (−2.058, 0.319)\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n Surface\n </td>\n </tr>\n <tr>\n <td>\n Smooth\n </td>\n <td>\n \n 3.307 (2.294, 6.615)\n \n </td>\n <td>\n \n −1.729 (−3.59, −0.080)\n \n </td>\n <td>\n 0.462 (−0.722, 1.531)\n </td>\n <td>\n \n 1.206 (0.046, 2.110)\n \n </td>\n <td>\n −0.172 (−1.520, 1.406)\n </td>\n </tr>\n <tr>\n <td>\n Crenulated\n </td>\n <td>\n \n 3.248 (2.553, 6.495)\n \n </td>\n <td>\n −1.286 (−2.951, 0.218)\n </td>\n <td>\n −1.072 (−1.894, 0.437)\n </td>\n <td>\n 0.351 (−0.623, 1.348)\n </td>\n <td>\n −1.416 (−2.682, 0.217)\n </td>\n </tr>\n <tr>\n <td>\n Straight\n </td>\n <td>\n \n 3.101 (2.845, 6.201)\n \n </td>\n <td>\n −1.003 (−2.566, 0.399)\n </td>\n <td>\n −0.443 (−1.171, 0.694)\n </td>\n <td>\n 0.547 (−0.249, 1.385)\n </td>\n <td>\n −0.525 (−1.643, 0.762)\n </td>\n </tr>\n <tr>\n <td>\n Twisted\n </td>\n <td>\n \n 6.225 (8.102, 12.451)\n \n </td>\n <td>\n \n −1.851 (−4.099, −0.867)\n \n </td>\n <td>\n −0.188 (−1.143, 1.001)\n </td>\n <td>\n \n 0.920 (0.142, 2.013)\n \n </td>\n <td>\n −0.968 (−2.347, 0.268)\n </td>\n </tr>\n <tr>\n <td colspan=\"6\">\n Tines\n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n \n 4.139 (4.384, 8.278)\n \n </td>\n <td>\n −0.469 (−2.264, 1.149)\n </td>\n <td>\n −0.553 (−1.496, 0.658)\n </td>\n <td>\n \n 1.137 (0.178, 2.028)\n \n </td>\n <td>\n −1.049 (−2.395, 0.408)\n </td>\n </tr>\n <tr>\n <td>\n 2–5\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 Greater than 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 </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 Design type\n \n </td>\n <td>\n \n Comments\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Randomized controlled trial (RCT)\n </td>\n <td>\n • The gold standard for evaluating the efficacy of exercise training interventions\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n • Characterized by two key elements: a control group and randomized allocation of participants to two or more study arms\n </td>\n </tr>\n <tr>\n <td>\n Cluster-RCT\n </td>\n <td>\n • Appropriate design type when participants are packed into clusters (e.g., study centers, schools, clubs, and hospitals) to avoid contamination within clusters\n </td>\n </tr>\n <tr>\n <td>\n Pilot-RCT\n </td>\n <td>\n • Means of choice to evaluate feasibility [e.g., regarding intervention (elements), training application, procedures] in order to prepare for a definitive RCT\n </td>\n </tr>\n <tr>\n <td>\n Randomized crossover trial\n </td>\n <td>\n • Each study participant performs both the intervention and control condition and, thus, serves as her/his own control, thereby, saving “\n \n n\n \n ”\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n • An appropriate “wash-out” period is a major challenge in exercise training studies\n </td>\n </tr>\n <tr>\n <td>\n \n N\n \n -of-1 trial\n </td>\n <td>\n • Enables to evaluate the benefits and harms of an intervention of interest on the individual level\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n • Particularly relevant, when the population of interest is small (e.g., elite athletes, patients with rare diseases)\n </td>\n </tr>\n <tr>\n <td>\n Uncontrolled/non-randomized trial\n </td>\n <td>\n • Justified as pilot or exploratory trial to get preliminary data regarding relevant design decisions of a definitive RCT\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n • Should be interpreted very carefully\n </td>\n </tr>\n <tr>\n <td>\n Prospective cohort study\n </td>\n <td>\n • Enables an investigation of exercise routines under more naturalistic circumstances in “real” life\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n • Enables the analysis of a large amount of possible moderators, mediators, and confounders\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 rowspan=\"2\">\n \n Antibiotic\n \n </td>\n <td colspan=\"2\">\n \n DAEC\n \n </td>\n <td colspan=\"2\">\n \n EAEC\n \n </td>\n </tr>\n <tr>\n <td>\n \n \n %\n \n \n </td>\n <td>\n \n \n n\n \n \n </td>\n <td>\n \n \n %\n \n \n </td>\n <td>\n \n \n n\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n SSS\n </td>\n <td>\n 100\n </td>\n <td>\n 9\n </td>\n <td>\n 100\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n DOX\n </td>\n <td>\n 100\n </td>\n <td>\n 9\n </td>\n <td>\n 75\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n TET\n </td>\n <td>\n 100\n </td>\n <td>\n 9\n </td>\n <td>\n 75\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n CTX\n </td>\n <td>\n 88.89\n </td>\n <td>\n 8\n </td>\n <td>\n 25\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n AMP\n </td>\n <td>\n 88.89\n </td>\n <td>\n 8\n </td>\n <td>\n 75\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n TIC\n </td>\n <td>\n 88.89\n </td>\n <td>\n 8\n </td>\n <td>\n 75\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n NA\n </td>\n <td>\n 77.78\n </td>\n <td>\n 7\n </td>\n <td>\n 100\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n CFP\n </td>\n <td>\n 66.67\n </td>\n <td>\n 6\n </td>\n <td>\n 25\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n PIP\n </td>\n <td>\n 66.67\n </td>\n <td>\n 6\n </td>\n <td>\n 50\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n GEN\n </td>\n <td>\n 55.56\n </td>\n <td>\n 5\n </td>\n <td>\n 50\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n CIP\n </td>\n <td>\n 55.56\n </td>\n <td>\n 5\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n LEV\n </td>\n <td>\n 44.44\n </td>\n <td>\n 4\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n OFX\n </td>\n <td>\n 44.44\n </td>\n <td>\n 4\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n TOB\n </td>\n <td>\n 33.33\n </td>\n <td>\n 3\n </td>\n <td>\n 25\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n FOX\n </td>\n <td>\n 22.22\n </td>\n <td>\n 2\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n CAZ\n </td>\n <td>\n 22.22\n </td>\n <td>\n 2\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n MIN\n </td>\n <td>\n 22.22\n </td>\n <td>\n 2\n </td>\n <td>\n 50\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n ATM\n </td>\n <td>\n 22.22\n </td>\n <td>\n 2\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n KAN\n </td>\n <td>\n 11.11\n </td>\n <td>\n 1\n </td>\n <td>\n 25\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n AMK\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n MERO\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n IMP\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n ETP\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 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 rowspan=\"2\">\n \n Variable\n \n </td>\n <td rowspan=\"2\">\n \n Group\n \n </td>\n <td colspan=\"2\">\n \n Outside the cluster\n \n </td>\n <td colspan=\"2\">\n \n Within the cluster\n \n </td>\n <td rowspan=\"2\">\n \n \n χ\n \n <sup>\n 2\n </sup>\n \n </td>\n <td rowspan=\"2\">\n \n \n P-\n \n value\n \n </td>\n <td rowspan=\"2\">\n \n \n OR\n \n (95%\n \n CI\n \n )\n \n </td>\n </tr>\n <tr>\n <td>\n \n No.\n \n </td>\n <td>\n \n %\n \n </td>\n <td>\n \n No.\n \n </td>\n <td>\n \n %\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td rowspan=\"3\">\n Alcohol intake\n </td>\n <td>\n Never\n </td>\n <td>\n 532\n </td>\n <td>\n 76.5\n </td>\n <td>\n 651\n </td>\n <td>\n 80.1\n </td>\n <td>\n 2.853\n </td>\n <td>\n 0.091\n </td>\n <td>\n 0.697 (0.458–1.060)\n </td>\n </tr>\n <tr>\n <td>\n In the past\n </td>\n <td>\n 126\n </td>\n <td>\n 18.1\n </td>\n <td>\n 97\n </td>\n <td>\n 11.9\n </td>\n <td>\n 11.222\n </td>\n <td>\n 0.001\n </td>\n <td>\n 0.438 (0.270–0.710)\n </td>\n </tr>\n <tr>\n <td>\n Currently\n </td>\n <td>\n 37\n </td>\n <td>\n 5.3\n </td>\n <td>\n 65\n </td>\n <td>\n 8.0\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 1.000\n </td>\n </tr>\n <tr>\n <td rowspan=\"2\">\n Chronic fatigue (overwork)\n </td>\n <td>\n Yes\n </td>\n <td>\n 537\n </td>\n <td>\n 77.3\n </td>\n <td>\n 653\n </td>\n <td>\n 80.3\n </td>\n <td>\n 2.100\n </td>\n <td>\n 0147\n </td>\n <td>\n 1.201 (0.937–1.538)\n </td>\n </tr>\n <tr>\n <td>\n No\n </td>\n <td>\n 158\n </td>\n <td>\n 22.7\n </td>\n <td>\n 160\n </td>\n <td>\n 19.7\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 1.000\n </td>\n </tr>\n <tr>\n <td rowspan=\"2\">\n Frequent visits to Internet cafés\n </td>\n <td>\n Yes\n </td>\n <td>\n 68\n </td>\n <td>\n 9.8\n </td>\n <td>\n 77\n </td>\n <td>\n 9.5\n </td>\n <td>\n 0.042\n </td>\n <td>\n 0.837\n </td>\n <td>\n 0.965 (0.684–1.360)\n </td>\n </tr>\n <tr>\n <td>\n No\n </td>\n <td>\n 627\n </td>\n <td>\n 90.2\n </td>\n <td>\n 736\n </td>\n <td>\n 90.5\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 1.000\n </td>\n </tr>\n <tr>\n <td rowspan=\"3\">\n Marital status\n </td>\n <td>\n Unmarried\n </td>\n <td>\n 134\n </td>\n <td>\n 19.3\n </td>\n <td>\n 193\n </td>\n <td>\n 23.7\n </td>\n <td>\n 0.001\n </td>\n <td>\n 0.974\n </td>\n <td>\n 0.990 (0.551–1.779)\n </td>\n </tr>\n <tr>\n <td>\n Married or remarried\n </td>\n <td>\n 539\n </td>\n <td>\n 77.6\n </td>\n <td>\n 588\n </td>\n <td>\n 72.3\n </td>\n <td>\n 1.031\n </td>\n <td>\n 0.310\n </td>\n <td>\n 0.750 (0.430–1.307)\n </td>\n </tr>\n <tr>\n <td>\n Divorced or widowed\n </td>\n <td>\n 22\n </td>\n <td>\n 3.2\n </td>\n <td>\n 32\n </td>\n <td>\n 3.9\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 1.000\n </td>\n </tr>\n <tr>\n <td rowspan=\"2\">\n Migrant labour history\n </td>\n <td>\n Yes\n </td>\n <td>\n 218\n </td>\n <td>\n 31.4\n </td>\n <td>\n 269\n </td>\n <td>\n 33.1\n </td>\n <td>\n 0.507\n </td>\n <td>\n 0.476\n </td>\n <td>\n 1.082 (0.871–1.344)\n </td>\n </tr>\n <tr>\n <td>\n No\n </td>\n <td>\n 477\n </td>\n <td>\n 68.6\n </td>\n <td>\n 544\n </td>\n <td>\n 66.9\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 1.000\n </td>\n </tr>\n <tr>\n <td rowspan=\"3\">\n Smoking (active)\n </td>\n <td>\n Never\n </td>\n <td>\n 384\n </td>\n <td>\n 55.3\n </td>\n <td>\n 501\n </td>\n <td>\n 61.6\n </td>\n <td>\n 0.003\n </td>\n <td>\n 0.953\n </td>\n <td>\n 0.991 (0.722–1.359)\n </td>\n </tr>\n <tr>\n <td>\n In the past\n </td>\n <td>\n 229\n </td>\n <td>\n 32.9\n </td>\n <td>\n 204\n </td>\n <td>\n 25.1\n </td>\n <td>\n 4.976\n </td>\n <td>\n 0.026\n </td>\n <td>\n 0.676 (0.480–0.954)\n </td>\n </tr>\n <tr>\n <td>\n Currently\n </td>\n <td>\n 82\n </td>\n <td>\n 11.8\n </td>\n <td>\n 108\n </td>\n <td>\n 13.3\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 1.000\n </td>\n </tr>\n <tr>\n <td rowspan=\"3\">\n Smoking (passive)\n </td>\n <td>\n None\n </td>\n <td>\n 104\n </td>\n <td>\n 20.4\n </td>\n <td>\n 168\n </td>\n <td>\n 23.5\n </td>\n <td>\n 0.214\n </td>\n <td>\n 0.644\n </td>\n <td>\n 0.920 (0.647–1.309)\n </td>\n </tr>\n <tr>\n <td>\n Light\n </td>\n <td>\n 312\n </td>\n <td>\n 61.2\n </td>\n <td>\n 381\n </td>\n <td>\n 53.4\n </td>\n <td>\n 5.844\n </td>\n <td>\n 0.016\n </td>\n <td>\n 0.696 (0.518–0.934)\n </td>\n </tr>\n <tr>\n <td>\n Heavy\n </td>\n <td>\n 94\n </td>\n <td>\n 18.4\n </td>\n <td>\n 165\n </td>\n <td>\n 23.1\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 1.000\n </td>\n </tr>\n <tr>\n <td rowspan=\"2\">\n Spitting habit\n </td>\n <td>\n Yes\n </td>\n <td>\n 224\n </td>\n <td>\n 32.2\n </td>\n <td>\n 285\n </td>\n <td>\n 35.1\n </td>\n <td>\n 1.337\n </td>\n <td>\n 0.248\n </td>\n <td>\n 1.135(0.916–1.407)\n </td>\n </tr>\n <tr>\n <td>\n No\n </td>\n <td>\n 471\n </td>\n <td>\n 67.8\n </td>\n <td>\n 528\n </td>\n <td>\n 64.9\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 1.000\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 Contrast-enhanced CT features\n \n </td>\n <td>\n \n Sensitivity\n \n </td>\n <td>\n \n Specificity\n \n </td>\n <td>\n \n PPV\n \n </td>\n <td>\n \n NPV\n \n </td>\n <td>\n \n Youden Index\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n vessel(s) entering nodule (1)\n </td>\n <td>\n 75%\n </td>\n <td>\n 74%\n </td>\n <td>\n 55%\n </td>\n <td>\n 84%\n </td>\n <td>\n 0.49\n </td>\n </tr>\n <tr>\n <td>\n Dilated and tortuous vessels in the periphery of nodule (2)\n </td>\n <td>\n 67%\n </td>\n <td>\n 79%\n </td>\n <td>\n 61%\n </td>\n <td>\n 92%\n </td>\n <td>\n 0.46\n </td>\n </tr>\n <tr>\n <td>\n (1) + (2)\n </td>\n <td>\n 78%\n </td>\n <td>\n 93%\n </td>\n <td>\n 79%\n </td>\n <td>\n 91%\n </td>\n <td>\n 0.71\n </td>\n </tr>\n <tr>\n <td>\n Degree of enhancement (3)\n </td>\n <td>\n 85%\n </td>\n <td>\n 78%\n </td>\n <td>\n 53%\n </td>\n <td>\n 93%\n </td>\n <td>\n 0.63\n </td>\n </tr>\n <tr>\n <td>\n (1) + (2) + (3)\n </td>\n <td>\n 89%\n </td>\n <td>\n 94%\n </td>\n <td>\n 89%\n </td>\n <td>\n 94%\n </td>\n <td>\n 0.83\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 C-index\n \n </td>\n <td>\n \n \n P\n \n value\n \n </td>\n <td>\n \n NRI\n \n </td>\n <td>\n \n \n P\n \n value\n \n </td>\n <td>\n \n IDI\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 Established risk factor model\n </td>\n <td>\n 0.741\n </td>\n <td>\n Ref.\n </td>\n <td>\n </td>\n <td>\n Ref.\n </td>\n <td>\n </td>\n <td>\n Ref.\n </td>\n </tr>\n <tr>\n <td>\n Established risk factor model + NT-proBNP\n </td>\n <td>\n 0.762\n </td>\n <td>\n 0.38\n </td>\n <td>\n 0.316\n </td>\n <td>\n <0.001\n </td>\n <td>\n 0.018\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Established risk factor model + L-FABP\n </td>\n <td>\n 0.794\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.561\n </td>\n <td>\n <0.001\n </td>\n <td>\n 0.092\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Established risk factor model + NT-proBNP + L-FABP\n </td>\n <td>\n 0.803\n </td>\n <td>\n 0.01\n </td>\n <td>\n 0.606\n </td>\n <td>\n <0.001\n </td>\n <td>\n 0.101\n </td>\n <td>\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Established risk factor model + NT-proBNP + L-FABP vs\n </td>\n <td rowspan=\"2\">\n 0.041*\n </td>\n <td rowspan=\"2\">\n 0.08\n </td>\n <td rowspan=\"2\">\n 0.513\n </td>\n <td rowspan=\"2\">\n <0.001\n </td>\n <td rowspan=\"2\">\n 0.083\n </td>\n <td rowspan=\"2\">\n <0.001\n </td>\n </tr>\n <tr>\n <td>\n Established risk factor model + NT-proBNP\n </td>\n </tr>\n <tr>\n <td>\n Established risk factor model + NT-proBNP + L-FABP vs\n </td>\n <td rowspan=\"2\">\n 0.009*\n </td>\n <td rowspan=\"2\">\n 0.70\n </td>\n <td rowspan=\"2\">\n 0.256\n </td>\n <td rowspan=\"2\">\n <0.001\n </td>\n <td rowspan=\"2\">\n 0.009\n </td>\n <td rowspan=\"2\">\n 0.006\n </td>\n </tr>\n <tr>\n <td>\n Established risk factor model + L-FABP\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 Left pops\n \n </td>\n <td>\n \n Right pops\n \n </td>\n <td>\n \n Rank\n \n </td>\n <td>\n \n Degrees of freedom\n \n </td>\n <td>\n \n Chi squared\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 Levant_N\n </td>\n <td>\n </td>\n <td>\n 0\n </td>\n <td>\n 20\n </td>\n <td>\n 190.024\n </td>\n <td>\n 1.047e−29\n </td>\n </tr>\n <tr>\n <td>\n Levant_ChL\n </td>\n <td>\n 09NW\n </td>\n <td>\n 1\n </td>\n <td>\n 9\n </td>\n <td>\n 32.641\n </td>\n <td>\n 1.541e−4\n </td>\n </tr>\n <tr>\n <td>\n Levant_BA_South\n </td>\n <td>\n </td>\n <td>\n \n 2\n \n </td>\n <td>\n \n 0\n \n </td>\n <td>\n \n 0.000\n \n </td>\n <td>\n \n 1.000\n \n </td>\n </tr>\n <tr>\n <td>\n Levant_N\n </td>\n <td>\n </td>\n <td>\n 0\n </td>\n <td>\n 20\n </td>\n <td>\n 399.438\n </td>\n <td>\n 2.673e−72\n </td>\n </tr>\n <tr>\n <td>\n Levant_BA_South\n </td>\n <td>\n 09NW\n </td>\n <td>\n \n 1\n \n </td>\n <td>\n \n 9\n \n </td>\n <td>\n \n 6.574\n \n </td>\n <td>\n \n 0.681\n \n </td>\n </tr>\n <tr>\n <td>\n Levant_BA_North\n </td>\n <td>\n </td>\n <td>\n \n 2\n \n </td>\n <td>\n \n 0\n \n </td>\n <td>\n \n 0.000\n \n </td>\n <td>\n \n 1.000\n \n </td>\n </tr>\n <tr>\n <td>\n Levant_N\n </td>\n <td>\n </td>\n <td>\n 0\n </td>\n <td>\n 20\n </td>\n <td>\n 706.552\n </td>\n <td>\n 3.221e−135\n </td>\n </tr>\n <tr>\n <td>\n Levant_BA_South\n </td>\n <td>\n 09NWZ\n </td>\n <td>\n 1\n </td>\n <td>\n 9\n </td>\n <td>\n 28.050\n </td>\n <td>\n 1.772e−3\n </td>\n </tr>\n <tr>\n <td>\n Levant_BA_North\n </td>\n <td>\n </td>\n <td>\n \n 2\n \n </td>\n <td>\n \n 0\n \n </td>\n <td>\n \n 0.000\n \n </td>\n <td>\n \n 1.000\n \n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
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