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f6932a61a9eb2bb3827729e1a37c40f56b48f49a53ba40f6b651872648b9e215.png
simple
<table><tr><td>Subject</td><td>Age enrollment(years)</td><td>GMFCS level at enrollment</td><td>GMFM-66 change over 2 years</td><td>Abnormalmovements</td><td>Typography</td></tr><tr><td>1</td><td>1.7</td><td>IV</td><td>4</td><td>Spasticity with dystonia</td><td>Q</td></tr><tr><td>2</td><td>2.4</td><td>II</td><td>8</td><td>Spasticity</td><td>D</td></tr><tr><td>3</td><td>5.1</td><td>I</td><td>19</td><td>Spasticity with dystonia</td><td>H (Lh)</td></tr><tr><td>4</td><td>1.2</td><td>IV</td><td>4</td><td>Spasticity with dystonia</td><td>Q</td></tr><tr><td>5</td><td>4.0</td><td>II</td><td>2</td><td>Spasticity with dystonia</td><td>H (Lh)</td></tr><tr><td>6</td><td>4.4</td><td>III</td><td>4</td><td>Spasticity</td><td>D</td></tr><tr><td>7</td><td>2.3</td><td>II</td><td>11</td><td>Spasticity</td><td>H (Rh)</td></tr><tr><td>8</td><td>1.4</td><td>II</td><td>17</td><td>Spasticity</td><td>H (Lh)</td></tr><tr><td>9</td><td>1.1</td><td>I</td><td>16</td><td>Spasticity with dystonia</td><td>H (Rh)</td></tr><tr><td>10</td><td>3.7</td><td>II</td><td>11</td><td>Spasticity</td><td>H (Rh)</td></tr><tr><td>11</td><td>1.5</td><td>IV</td><td>2</td><td>Spasticity with dystonia</td><td>Q</td></tr><tr><td>12</td><td>3.8</td><td>IV</td><td>5</td><td>Spasticity with dystonia</td><td>Q</td></tr><tr><td>13</td><td>2.1</td><td>II</td><td>15</td><td>Spasticity</td><td>D</td></tr><tr><td>14</td><td>2.8</td><td>II</td><td>13</td><td>Spasticity with dystonia</td><td>H (Lh)</td></tr><tr><td>15</td><td>2.8</td><td>II</td><td>5</td><td>Spasticity</td><td>D</td></tr><tr><td>16</td><td>1.4</td><td>IV</td><td>6</td><td>Spasticity predominant, mixed with dystonia</td><td>Q</td></tr><tr><td>17</td><td>3.0</td><td>III</td><td>22</td><td>Spasticity predominant, mixed with spasticity</td><td>T (LUE)</td></tr></table>
4a68a79ca884e97e0145ac007ade81d0ac82f4826916408115d006f6e7ae75f6.png
complex
<table><tr><td>Compound</td><td>Class</td><td>PIM inhibition selectivity</td><td>Development</td><td>Disease</td></tr><tr><td>SGI-1776</td><td>imadizaopyridazine</td><td>IC50: 7 nM PIM1, 363 nM PIM2, 69 nM PIM3, 44 nM FLT-3 and 34 nM Haspin [107].</td><td>Failure in phase I clinical trials by cardiotoxicity</td><td>Non-Hodgkin lymphoma</td></tr><tr><td rowspan="2">SMI4a</td><td rowspan="2">benzylidene-thiazolidene-2,4-dione</td><td>IC50: 21 nM PIM1, 100 nM PIM2 [113].</td><td rowspan="2">Preclinical</td><td rowspan="2">Acute myeloid leukemia</td></tr><tr><td>Selective vs. 56 kinases [114].</td></tr><tr><td>LGB321</td><td>3-(S)-amino-piperidine pyridyl carboxamide</td><td>IC50: 0.001 nM PIM1, 0.0021 nM PIM2, and 0.0008 nM PIM3 [106].</td><td>Recruiting patients for clinical trials</td><td>Multiple myeloma</td></tr><tr><td>AZD1897</td><td></td><td>IC50: 3 nM PIM1,2 and 3 [115].</td><td>Preclinical</td><td>Acute myeloid leukemia</td></tr><tr><td>SEL24-B58</td><td>Benzoimidazol</td><td>IC50: 31 nM PIM1, 154 nM PIM2, 152 nM PIM3. Selective in a panel of 299 kinases with the exception of haspin, HIPK and CLK kinases [117].</td><td>Preclinical</td><td>Leukemic monocyte lymphoma</td></tr><tr><td>AZD1208</td><td>thiazolidene</td><td>IC50: Pim-1 0.4 nM, Pim-2 5.0 nM and Pim-3 1.9 nM [115].</td><td>Recruiting patients for clinical trials</td><td>Acute myeloid leukemia</td></tr></table>
45bfab0c6797de9df93cdb7f6a305144030852fc9c257052e5ebcbe560c4f36f.png
simple
<table><tr><td>Upper Asymptote</td><td>Lower Asymptote</td><td>Sig Diff</td><td>Point of Inflection</td><td>Slope</td><td>Fit</td></tr><tr><td>0.99</td><td>0.48</td><td>&lt; 0.05</td><td>3.36</td><td>&#8722;1.75</td><td>0.15</td></tr></table>
79ba4391658af54caff5da965aef829cbdfae8ec9082370a7fc60e0a9d2b1260.png
simple
<table><tr><td>Age stratum</td><td>(%)</td></tr><tr><td> 39 years or younger</td><td>41</td></tr><tr><td> 40&#8211;49 years</td><td>42</td></tr><tr><td> 50 years or older</td><td>15</td></tr><tr><td> Missing data</td><td>2</td></tr><tr><td>Sex</td><td></td></tr><tr><td> Female</td><td>15</td></tr><tr><td> male</td><td>85</td></tr><tr><td>Fields of practice</td><td></td></tr><tr><td> Pediatrics</td><td>2</td></tr><tr><td> Family practice</td><td>11</td></tr><tr><td> General internal medicine</td><td>44</td></tr><tr><td> Specialty internal medicine</td><td>21</td></tr><tr><td> Surgery-related</td><td>7</td></tr><tr><td> Emergency medicine</td><td>9</td></tr><tr><td> The other fields</td><td>7</td></tr><tr><td>Size of employing facilities</td><td></td></tr><tr><td> Office-based clinic</td><td>24</td></tr><tr><td> 1&#8211;100 beds</td><td>13</td></tr><tr><td> 101&#8211;250 beds</td><td>17</td></tr><tr><td> 251&#8211;500 beds</td><td>17</td></tr><tr><td> 501 or more beds</td><td>28</td></tr></table>
4f8f531c60af67927a5f4b746a1ea2e3e24d461d1a684359f2d193f06b44a58e.png
complex
<table><tr><td rowspan="2">Characteristics</td><td rowspan="2">PTCL-NOS</td><td rowspan="2">NKT</td><td rowspan="2">AITL</td><td colspan="2">ALCL</td><td rowspan="2">Total</td></tr><tr><td>ALK+</td><td>ALK&#8722;</td></tr><tr><td>Age &gt; 60</td><td>20/60 (33.3)</td><td>2/18 (11.1)</td><td>6/11 (54.5)</td><td>0/4 (0.0)</td><td>1/4 (25.0)</td><td>29/109 (26.6)</td></tr><tr><td>Gender, male</td><td>38/60 (63.3)</td><td>13/18 (72.2)</td><td>9/11 (81.8)</td><td>3/4 (75.0)</td><td>3/4 (75.0)</td><td>75/109 (68.8)</td></tr><tr><td>B symptoms</td><td>47/58 (81.0)</td><td>16/18 (88.9)</td><td>11/11 (100.0)</td><td>4/4 (100.0)</td><td>2/4 (50.0)</td><td>90/107 (84.1)</td></tr><tr><td>LDH &gt; normal</td><td>36/58 (62.1)</td><td>10/17 (58.8)</td><td>10/11 (90.9)</td><td>4/4 (100.0)</td><td>2/4 (50.0)</td><td>68/105 (64.8)</td></tr><tr><td>Ann Arbor stage III/IV</td><td>52/58 (89.7)</td><td>15/16 (93.8)</td><td>11/11 (100.0)</td><td>4/4 (100.0)</td><td>3/4 (75.0)</td><td>80/109 (73.4)</td></tr><tr><td>ECOG &gt; 1</td><td>30/58 (51.7)</td><td>4/17 (23.5)</td><td>5/11 (45.5)</td><td>3/4 (75.0)</td><td>1/4 (25.0)</td><td>50/106 (47.2)</td></tr><tr><td>&gt; 1 extranodal site</td><td>29/57 (50.9)</td><td>11/17 (64.7)</td><td>4/11 (36.4)</td><td>4/4 (100.0)</td><td>2/4 (50.0)</td><td>57/104 (54.8)</td></tr><tr><td>BM involvement</td><td>16/55 (29.1)</td><td>3/17 (17.6)</td><td>1/11 (9.1)</td><td>1/4 (25.0)</td><td>1/4 (25.0)</td><td>25/101 (24.8)</td></tr><tr><td>IPI &gt; 2</td><td>35/57 (61.4)</td><td>10/18 (55.6)</td><td>7/11 (63.6)</td><td>4/4 (100.0)</td><td>3/4 (75.0)</td><td>65/105 (61.9)</td></tr><tr><td>Treatment with CHOP</td><td>26/60 (43.3)</td><td>3/18 (16.7)</td><td>5/11 (45.5)</td><td>3/4 (75.0)</td><td>1/4 (25.0)</td><td>42/109 (38.5)</td></tr></table>
225fb17c2e2469bbfddd23ebb56f7717adedb85d1d001ca2e64cdb0c4d9c1b2a.png
complex
<table><tr><td>Genotypes<sup>a</sup></td><td>Number of seedlings tested</td><td>Average resistance score</td><td>Significance<sup>b</sup></td></tr><tr><td colspan="4">Reaction to BPH biotype 4 (2009&#8211;2014)</td></tr><tr><td> CR2711&#8211;76</td><td>201</td><td>2.33</td><td>a</td></tr><tr><td> Jaya</td><td>207</td><td>7.99</td><td>b</td></tr><tr><td> F<sub>1</sub> (Jaya/CR2711&#8211;76)</td><td>52</td><td>1.33</td><td>a</td></tr><tr><td> PTB-33</td><td>206</td><td>4.03</td><td>a</td></tr><tr><td colspan="4">Reaction to Laguna BPH colony (2013&#8211;2015)</td></tr><tr><td> CR2711&#8211;76</td><td>199</td><td>3.87</td><td>b</td></tr><tr><td> Jaya</td><td>176</td><td>8.91</td><td>a</td></tr><tr><td> F<sub>1</sub> (Jaya/CR2711&#8211;76)</td><td>24</td><td>2.88</td><td>b</td></tr><tr><td> Rathu Heenati</td><td>210</td><td>3.11</td><td>b</td></tr><tr><td> TN-1</td><td>272</td><td>9.01</td><td>a</td></tr></table>
c813414656358da80060b059c87e4d7bcc1dc98f3fc2845f02186e5d97773143.png
simple
<table><tr><td>Chromosomal region</td><td>Fragile site (FS)</td><td>FS type<sup>a</sup></td><td>BAC-probe</td><td>Co-localization of FA breakpoints and FS</td></tr><tr><td>1p13.3</td><td>FRA1N</td><td>Aphidicolin<sup>b</sup></td><td>RP11-242D10</td><td>+</td></tr><tr><td>1q21.2</td><td>FRA1F</td><td>Aphidicolin</td><td>RP11-301 M17</td><td>+</td></tr><tr><td>1q42.2</td><td>Near FRA1H</td><td>Azacytidin</td><td>RP11-109G24</td><td>&#8722;</td></tr><tr><td>2q35</td><td>FRA2U</td><td>Aphidicolin</td><td>RP11-316O14</td><td>+</td></tr><tr><td>3p14.2</td><td>FRA3B</td><td>Aphidicolin</td><td>RP11-129 K20</td><td>+</td></tr><tr><td>3p21.31</td><td>FRA3H</td><td>New nomenclature<sup>c</sup></td><td>RP11-787O14RP11-159A17</td><td>+</td></tr><tr><td>3q27.1</td><td>FRA3C</td><td>Aphidicolin</td><td>RP11-110C15</td><td>+</td></tr><tr><td>5q13.2</td><td>FRA5K</td><td>New nomenclature<sup>d</sup></td><td>RP11-497H16</td><td>+</td></tr><tr><td>5q33.2</td><td>FRA5O</td><td>New nomenclature<sup>d</sup></td><td>RP11-265I24RP11-494C5</td><td>+</td></tr><tr><td>7q22.3</td><td>FRA7F</td><td>Aphidicolin</td><td>CTB-20D2</td><td>+</td></tr><tr><td>7q32.3</td><td>FRA7H</td><td>Aphidicolin</td><td>RP11-138A9RP11-36B6</td><td>+</td></tr><tr><td>11q13</td><td>FRA11H</td><td>Aphidicolin</td><td>RP11-449G14</td><td>+</td></tr><tr><td>14q24.3</td><td>FRA14G</td><td>Aphidicolin<sup>b</sup></td><td>RP3-414A15</td><td>+</td></tr><tr><td>16q22.1</td><td>FRA16C, FRA16B</td><td>Aphidicolin</td><td>RP11-106 J23</td><td>+</td></tr><tr><td>16q23</td><td>FRA16D</td><td>Aphidicolin</td><td>RP11-358 L22</td><td>+</td></tr><tr><td>18q21.3</td><td>FRA18B</td><td>Aphidicolin</td><td>RP11-15C15</td><td>+</td></tr></table>
b45b9536e49eecde86701c22ba47eb0509443d7debe9386b06731fa1fc80d48d.png
complex
<table><tr><td>Stage of prostate cancer</td><td>Hormonal agent</td><td>Function</td><td>Year of FDA approval</td><td>Reference</td></tr><tr><td rowspan="8">Advanced, hormone nai&#776;ve</td><td>Goserelin acetate</td><td>GnRH agonist</td><td>1989</td><td>[27, 28]</td></tr><tr><td>Leuprolide acetate</td><td>GnRH agonist</td><td>1989</td><td>[27, 29]</td></tr><tr><td>Histrelin acetate</td><td>GnRH agonist</td><td>1991</td><td>[27, 30]</td></tr><tr><td>Triptorelin pamoate</td><td>GnRH agonist</td><td>2000</td><td>[27, 31]</td></tr><tr><td>Abarelix</td><td>GnRH antagonist</td><td>2003</td><td>[27, 48]</td></tr><tr><td>Degarelix</td><td>GnRH antagonist</td><td>2008</td><td>[27, 49]</td></tr><tr><td>Bicalutamide</td><td>AR antagonist</td><td>1995</td><td>[27, 126]</td></tr><tr><td>Flutamide</td><td>AR antagonist</td><td>1989</td><td>[27, 127]</td></tr><tr><td rowspan="4">Castrate-resistant</td><td rowspan="2">Abiraterone acetate</td><td rowspan="2">CYP17 inhibitor</td><td>2011<sup>b</sup></td><td>[27, 94]</td></tr><tr><td>2012<sup>a</sup></td><td>[96, 99]</td></tr><tr><td rowspan="2">Enzalutamide</td><td rowspan="2">AR antagonist</td><td>2012<sup>b</sup></td><td>[27, 101]</td></tr><tr><td>2014<sup>a</sup></td><td>[102, 128]</td></tr></table>
fb3cdef3033cdf7d4af2ca114a1f4c8cbe3eb5c8b6a6db7451c30eedcffc0e54.png
simple
<table><tr><td>MIGS ID</td><td>Property</td><td>Term</td><td>Evidence code<sup>a</sup></td></tr><tr><td></td><td>Classification</td><td>Domain <i>Bacteria</i></td><td>TAS [38]</td></tr><tr><td></td><td></td><td>Phylum &#8220;<i>Nitrospirae</i>&#8221;</td><td>TAS [38]</td></tr><tr><td></td><td></td><td>Class &#8220;<i>Nitrospira</i>&#8221;</td><td>TAS [38]</td></tr><tr><td></td><td></td><td>Order &#8220;<i>Nitrospirales</i>&#8221;</td><td>TAS [38]</td></tr><tr><td></td><td></td><td>Family &#8220;<i>Nitrospiraceae</i>&#8221;</td><td>TAS [1, 38]</td></tr><tr><td></td><td></td><td>Genus <i>Leptospirillum</i></td><td>TAS [39]</td></tr><tr><td></td><td></td><td>Species <i>Leptospirillum ferriphilum</i></td><td>TAS [5]</td></tr><tr><td></td><td></td><td>Strain Sp-Cl</td><td>TAS [5]</td></tr><tr><td></td><td>Gram stain</td><td>Negative</td><td>TAS [5]</td></tr><tr><td></td><td>Cell shape</td><td>Curved rod</td><td>IDA</td></tr><tr><td></td><td>Motility</td><td>Motile</td><td>TAS [5]</td></tr><tr><td></td><td>Sporulation</td><td>Non-spore forming</td><td>TAS [5]</td></tr><tr><td></td><td>Temperature range</td><td>25&#176; to 45 &#176;C</td><td>NAS</td></tr><tr><td></td><td>Optimum temperature</td><td>30&#176; to 37 &#176;C</td><td>NAS</td></tr><tr><td></td><td>pH range, optimum</td><td>1.3 to 2.0; NA</td><td>IDA</td></tr><tr><td></td><td>Carbon source</td><td>CO<sub>2</sub></td><td>IDA</td></tr><tr><td>MIGS-6</td><td>Habitat</td><td>chloride, metal-rich and acidic environment</td><td>IDA</td></tr><tr><td>MIGS-6.3</td><td>Salinity</td><td>0-12 g/L Cl-</td><td>IDA</td></tr><tr><td>MIGS-22</td><td>Oxygen requirement</td><td>Aerobic</td><td>TAS [5]</td></tr><tr><td>MIGS-15</td><td>Biotic relationship</td><td>Free-living</td><td>IDA</td></tr><tr><td>MIGS-14</td><td>Pathogenicity</td><td>None</td><td>TAS [5, 22]</td></tr><tr><td>MIGS-4</td><td>Geographic location</td><td>Spence mine, Atacama Desert, Chile</td><td>IDA</td></tr><tr><td>MIGS-5</td><td>Sample collection</td><td>2007</td><td>IDA</td></tr><tr><td>MIGS-4.1</td><td>Latitude</td><td>22&#176;.81 S</td><td>IDA</td></tr><tr><td>MIGS-4.2</td><td>Longitude</td><td>69&#176;.26 W</td><td>IDA</td></tr><tr><td>MIGS-4.4</td><td>Altitude</td><td>1700</td><td>IDA</td></tr></table>
d0ce01b781f40bc01905cf62b71906cdae51a1554fdf818970f4820d5fe8b94e.png
simple
<table><tr><td>Dataset</td><td>Oct 2006</td><td>Oct 2008</td><td>2008&#8211;2006</td><td>2008&#8211;2006[%]</td><td>Filtration2008</td></tr><tr><td>GVKBIO</td><td>1488288</td><td>2054151</td><td>565863</td><td>38%</td><td>-8%</td></tr><tr><td>GVKBIO Journals</td><td>542858</td><td>658198</td><td>115340</td><td>21%</td><td>-8%</td></tr><tr><td>GVKBIO patents</td><td>1034548</td><td>1484218</td><td>449670</td><td>43%</td><td>-7%</td></tr><tr><td>GVKBIO DD</td><td>1933</td><td>3675</td><td>1742</td><td>90%</td><td>-4%</td></tr><tr><td>GVKBIO CCD</td><td>n/a</td><td>8864</td><td>n/a</td><td>n/a</td><td>-1%</td></tr><tr><td>GVKBIO BACE1</td><td>n/a</td><td>5228</td><td>n/a</td><td>n/a</td><td>-11%</td></tr><tr><td>GVKBIO BACE1 journals</td><td>n/a</td><td>389</td><td>n/a</td><td>n/a</td><td>-6%</td></tr><tr><td>GVKBIO BACE1 patents</td><td>n/a</td><td>4901</td><td>n/a</td><td>n/a</td><td>-11%</td></tr><tr><td>WOMBAT</td><td>128120</td><td>180856</td><td>52736</td><td>41%</td><td>-18%</td></tr><tr><td>PubChem</td><td>7268193</td><td>14965539</td><td>7697346</td><td>106%</td><td>-23%</td></tr><tr><td>PubChem Prous</td><td>3318</td><td>4652</td><td>1334</td><td>40%</td><td>-2%</td></tr><tr><td>PubChem PDB</td><td>5626</td><td>5706</td><td>n/a</td><td>n/a</td><td>-8%</td></tr><tr><td>PubChem actives</td><td>35671</td><td>7472</td><td>n/a</td><td>n/a</td><td>-3%</td></tr><tr><td>PubChem pharmacol</td><td>6070</td><td>5311</td><td>n/a</td><td>n/a</td><td>-63%</td></tr><tr><td>PubChem MLSMR</td><td>n/a</td><td>233284</td><td>n/a</td><td>n/a</td><td>-1%</td></tr><tr><td>PubChem BindingDB</td><td>n/a</td><td>24203</td><td>n/a</td><td>n/a</td><td>-4%</td></tr><tr><td>PubChem ChEBI</td><td>n/a</td><td>7428</td><td>n/a</td><td>n/a</td><td>-31%</td></tr><tr><td>DrugBank</td><td>3723</td><td>4545</td><td>822</td><td>22%</td><td>-7%</td></tr><tr><td>DrugBank approved</td><td>1018</td><td>1341</td><td>323</td><td>32%</td><td>-3%</td></tr><tr><td>DrugBank experimental</td><td>1737</td><td>2999</td><td>1262</td><td>73%</td><td>-6%</td></tr><tr><td>DNP</td><td>131831</td><td>144383</td><td>12552</td><td>10%</td><td>-26%</td></tr><tr><td>MDDR</td><td>159867</td><td>176600</td><td>16733</td><td>10%</td><td>-4%</td></tr><tr><td>MDDR launched</td><td>1118</td><td>1435</td><td>317</td><td>28%</td><td>-5%</td></tr></table>
68534b758430aaa1cc9526de3afc33cf6bf875d0f380cd0334744cb80ebb62f3.png
complex
<table><tr><td>SNPs</td><td>Allele</td><td>&#945;-helix</td><td>Extended strand</td><td>&#946;-turn</td><td>Random coil</td></tr><tr><td rowspan="2">c.271C &gt; T</td><td>C</td><td>32.92</td><td>13.04</td><td>4.35</td><td>49.69</td></tr><tr><td>T</td><td>32.3</td><td>13.04</td><td>5.59</td><td>49.07</td></tr></table>
1cea78f04b9c70587473fc65b3b5f90ee0b6c73a8db973303cf9e4f64a82419a.png
simple
<table><tr><td>Health Behaviour</td><td>Total number</td><td>No. aimed at general population</td><td>No. aimed at community, school or work places</td><td>No. aimed at targeted populations or individuals</td></tr><tr><td>Smoking</td><td>48</td><td>5</td><td>6</td><td>Young people (11)Smokers (26)</td></tr><tr><td>Physical Activity</td><td>24</td><td>4</td><td>1</td><td>Young people (6)Older people (2)Adults over 18 years(8)</td></tr><tr><td>Alcohol</td><td>15</td><td>4</td><td>0</td><td>Young people (2)Pregnant women (1)Drink drivers (3)Problem drinkers (4)</td></tr><tr><td>Healthy eating</td><td>13</td><td>0</td><td>3</td><td>Young people (4)Older people (1)Pregnant women (1)Non specific (6)</td></tr><tr><td>Illicit drug use in young people</td><td>4</td><td>0</td><td>4</td><td>0</td></tr><tr><td>Sexual risk taking in young people</td><td>8</td><td>0</td><td>8</td><td>0</td></tr></table>
f41ad38b0ff405cd4e84b47699dc09cce6640a9994d5d415d2de8e4dfe0cec32.png
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<table><tr><td></td><td>Alfalfa</td><td>High nitrate-containing barley</td><td>Low nitrate-containing barley</td><td>NPA-containing milkvetch</td><td>NPOH-containing milkvetch</td></tr><tr><td>Crude protein (%)</td><td>17.3</td><td>13.8</td><td>6.4</td><td>10.0</td><td>9.6</td></tr><tr><td>Digestible crude protein (%)</td><td>12.6</td><td>9.4</td><td>2.5</td><td>5.8</td><td>5.4</td></tr><tr><td>Acid detergent fiber (%)</td><td>35.5</td><td>35.4</td><td>31.4</td><td>32.4</td><td>34.8</td></tr><tr><td>Neutral detergent fiber (%)</td><td>38.8</td><td>45.0</td><td>46.9</td><td>38.3</td><td>37.8</td></tr><tr><td>Total digestible nutrients (%)</td><td>60.2</td><td>59.1</td><td>59.5</td><td>60.0</td><td>58.1</td></tr><tr><td>Net energy lactation (Mcal/kg)</td><td>1.36</td><td>1.32</td><td>1.34</td><td>1.34</td><td>1.30</td></tr><tr><td>Net energy maintenance (Mcal/kg)</td><td>1.45</td><td>1.43</td><td>1.43</td><td>1.45</td><td>1.39</td></tr><tr><td>Net energy gain (Mcal/kg)</td><td>0.73</td><td>0.70</td><td>0.70</td><td>0.73</td><td>0.68</td></tr><tr><td><i>In vitro</i> true digestibility (%)</td><td>75.7</td><td>80.4</td><td>68.5</td><td>85.3</td><td>82.3</td></tr><tr><td>Ash (%)</td><td>10.2</td><td>9.3</td><td>5.4</td><td>7.4</td><td>7.9</td></tr><tr><td>Relative feed value</td><td>146.7</td><td>126.8</td><td>127.7</td><td>154.7</td><td>152.0</td></tr><tr><td>Nitrate<sup>a</sup> (%)</td><td>0.16</td><td>1.69</td><td>0.23</td><td>0.15</td><td>0.03</td></tr><tr><td colspan="6">Mineral analysis (NIR)</td></tr><tr><td>Calcium</td><td>1.22</td><td>0.69</td><td>0.48</td><td>0.72</td><td>0.77</td></tr><tr><td>Magnesium</td><td>0.29</td><td>0.15</td><td>0.04</td><td>0.11</td><td>0.11</td></tr><tr><td>Phosphorus</td><td>0.39</td><td>0.29</td><td>0.16</td><td>0.25</td><td>0.23</td></tr><tr><td>Potassium</td><td>2.92</td><td>2.23</td><td>1.52</td><td>1.64</td><td>1.50</td></tr></table>
dd6d2fe87708ad645f2d9a7af3b2bda26b77fed1107a60fa539ad22754fd6a0c.png
simple
<table><tr><td>Strain</td><td></td></tr><tr><td><i>Bifidobacterium adolescentis</i> DSM 20083<sup>T</sup></td><td></td></tr><tr><td><i>Bifidobacterium adolescentis</i> DSM 20086</td><td></td></tr><tr><td><i>Bifidobacterium adolescentis</i> DSM 20087</td><td></td></tr><tr><td><i>Bifidobacterium animalis</i>subsp. <i>lactis</i> NRRL B-41405</td><td></td></tr><tr><td><i>Bifidobacterium animalis</i>subps. <i>animalis</i> NRRL B-41406<sup>T</sup></td><td></td></tr><tr><td><i>Bifidobacterium bifidum</i> DSM 20456<sup>T</sup></td><td></td></tr><tr><td><i>Bifidobacterium breve</i> DSM 20091</td><td></td></tr><tr><td><i>Bifidobacterium breve</i> NRRL B-41408<sup>T</sup></td><td></td></tr><tr><td><i>Bifidobacterium catenulatum</i> DSM 20224</td><td></td></tr><tr><td><i>Bifidobacterium longum</i>subsp. <i>infantis</i> ATCC 15697<sup>T</sup></td><td></td></tr><tr><td><i>Bifidobacterium longum</i>subsp. <i>longum</i> NRRL B-41409<sup>T</sup></td><td></td></tr><tr><td><i>Bifidobacterium longum</i>subsp. <i>suis</i> NRRL B-41407<sup>T</sup></td><td></td></tr><tr><td><i>Bifidobacterium pseudocatenulatum</i> DSM 20439</td><td></td></tr><tr><td><i>Bifidobacterium pseudolongum</i>subsp. <i>globosum</i> DSM 20092<sup>T</sup></td><td></td></tr><tr><td><i>Bifidobacterium pseudolongum</i>subsp. <i>pseudolongum</i> DSM 20094</td><td></td></tr><tr><td><i>Bifidobacterium pseudolongum</i>subsp. <i>pseudolongum</i> DSM 20095</td><td></td></tr><tr><td><i>Bifidobacterium pseudolongum</i>subsp. <i>pseudolongum</i> DSM 20099<sup>T</sup></td><td></td></tr></table>
fc97776a277a212f7c393a37405452d8db7f129f43374ee451ef4c717a041ab8.png
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<table><tr><td>University &amp; Library</td><td>Responded to phase 2</td></tr><tr><td>1. Charles Drew University of Medicine &amp; Science, Health Sciences Library</td><td>&#10003;</td></tr><tr><td>2. Loma Linda University Medical Center, Jesse Medical Library &amp; Information Center</td><td> </td></tr><tr><td>3. Oregon Health and Science University, Library</td><td>&#10003;</td></tr><tr><td>4. Stanford University Medical Center, Lane Medical Library</td><td> </td></tr><tr><td>5. University of Arizona (Tucson Campus), Arizona Health Sciences Library</td><td>&#10003;</td></tr><tr><td colspan="2">(University of Arizona (Phoenix Campus) Partnership of U of A &amp; ASU medical school dissolved mid-project. ASU counted as part of U of A)</td></tr><tr><td>6. University of California, Davis, Carlson Health Sciences Library</td><td> </td></tr><tr><td>7. University of California, Irvine, Science Library</td><td>&#10003;</td></tr><tr><td>8. University of California, Los Angeles, Biomedical Library</td><td>&#10003;</td></tr><tr><td colspan="2">(University of California, Riverside program is developing, with most services provided by UCLA and therefore, counted under UCLA)</td></tr><tr><td>9. University of California San Diego, Biomedical Library</td><td>&#10003;</td></tr><tr><td>10. University of California, San Francisco, Library</td><td>&#10003;</td></tr><tr><td>11. University of Colorado, Health Sciences Library</td><td>&#10003;</td></tr><tr><td>12. University of Hawaii at Manoa, Health Sciences Library</td><td> </td></tr><tr><td>13. University of Nevada Reno, Savitt Medical Library</td><td>&#10003;</td></tr><tr><td>14. University of New Mexico School of Medicine, Health Sciences Library and Informatics</td><td>&#10003;</td></tr><tr><td>15. University of Southern California, Norris Medical Library</td><td>&#10003;</td></tr><tr><td>16. University of Utah, Eccles Health Sciences Library</td><td>&#10003;</td></tr><tr><td>17. University of Washington, Health Sciences Library</td><td>&#10003;</td></tr></table>
9050a9c9378a3067d6a20d385b4b23d315446188cd530826e6e5f76eda9b0f3f.png
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<table><tr><td></td><td>Distribution between categories</td><td>Assumed hospitalization rate</td></tr><tr><td>No-test scenario</td><td></td><td>44.6%</td></tr><tr><td colspan="3">Test scenario</td></tr><tr><td> sFlt-1/PlGF ratio &#8805; 85 at weeks 20 + 0&#8211;33 + 6, or &#8805; 110 from week 34 onwards</td><td>19.60%</td><td>70.0%</td></tr><tr><td> sFlt-1/PlGF ratio &gt; 38 &#8722; &lt; 85 at weeks 20 + 0&#8211;33 + 6, or &gt; 38 &#8722; &lt; 110 from week 34 onwards</td><td>16.20%</td><td>57.6%</td></tr><tr><td> sFlt-1/PlGF ratio &#8804; 38</td><td>64.20%</td><td>1.5%</td></tr></table>
429131b3453c61b57ecc06b5c02395d2d275e20fc318cc2d630dd7e6dc86413b.png
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<table><tr><td></td><td></td><td colspan="4">Fish or krill Oil: 1.3 g/d</td><td></td></tr><tr><td>Parameter</td><td></td><td>Overall (N = 66)</td><td>Treatment A Ethyl Ester (N = 22)</td><td>Treatment B Triglycerides (N = 22)</td><td>Treatment C krill Oil (N = 22)</td><td>p-value*</td></tr><tr><td>Gender</td><td>Female</td><td>48 (72.7 %)</td><td>17 (77.3 %)</td><td>13 (59.1 %)</td><td>18 (81.8 %)</td><td>0.2011</td></tr><tr><td></td><td>Male</td><td>18 (27.3 %)</td><td>5 (22.7 %)</td><td>9 (40.9 %)</td><td>4 (18.2 %)</td><td></td></tr><tr><td>Age (years)</td><td>N</td><td>66</td><td>22</td><td>22</td><td>22</td><td>0.4523</td></tr><tr><td></td><td>Mean (SEM)</td><td>35.45 (1.44)</td><td>37.41 (2.69)</td><td>35.95 (2.39)</td><td>33.00 (2.42)</td><td></td></tr><tr><td></td><td>Std Dev</td><td>11.72</td><td>12.64</td><td>11.21</td><td>11.37</td><td></td></tr><tr><td></td><td>Min, Max</td><td>19.00, 57.00</td><td>19.00, 57.00</td><td>19.00, 52.00</td><td>19.00, 55.00</td><td></td></tr><tr><td>Ethnicity</td><td>Not Hispanic or Latino</td><td>27 (40.9 %)</td><td>10 (45.5 %)</td><td>9 (40.9 %)</td><td>8 (36.4 %)</td><td>0.8286</td></tr><tr><td></td><td>Hispanic or Latino</td><td>39 (59.1 %)</td><td>12 (54.5 %)</td><td>13 (59.1 %)</td><td>14 (63.6 %)</td><td></td></tr><tr><td>Race</td><td>Asian</td><td>1 (1.5 %)</td><td>1 (4.5 %)</td><td>0 (0.0 %)</td><td>0 (0.0 %)</td><td>0.6239</td></tr><tr><td></td><td>Black or African American</td><td>7 (10.6 %)</td><td>2 (9.1 %)</td><td>3 (13.6 %)</td><td>2 (9.1 %)</td><td></td></tr><tr><td></td><td>White</td><td>57 (86.4 %)</td><td>19 (86.4 %)</td><td>18 (81.8 %)</td><td>20 (90.9 %)</td><td></td></tr><tr><td></td><td>Mixed: White, Black or African American</td><td>1 (1.5 %)</td><td>0 (0.0 %)</td><td>1 (4.5 %)</td><td>0 (0.0 %)</td><td></td></tr><tr><td>Weight (kg)</td><td>N</td><td>66</td><td>22</td><td>22</td><td>22</td><td>0.3480</td></tr><tr><td></td><td>Mean (SEM)</td><td>68.72 (1.43)</td><td>69.06 (2.83)</td><td>71.10 (2.55)</td><td>66.01 (1.96)</td><td></td></tr><tr><td></td><td>Std Dev</td><td>11.59</td><td>13.25</td><td>11.94</td><td>9.17</td><td></td></tr><tr><td></td><td>Min, Max</td><td>50.90, 111.20</td><td>50.90, 111.20</td><td>51.00, 89.00</td><td>52.80, 84.60</td><td></td></tr><tr><td>Height (cm)</td><td>N</td><td>66</td><td>22</td><td>22</td><td>22</td><td>0.2408</td></tr><tr><td></td><td>Mean (SEM)</td><td>164.35 (1.16)</td><td>164.98 (2.47)</td><td>166.39 (1.80)</td><td>161.68 (1.63)</td><td></td></tr><tr><td></td><td>Std Dev</td><td>9.45</td><td>11.59</td><td>8.44</td><td>7.66</td><td></td></tr><tr><td></td><td>Min, Max</td><td>149.50, 194.00</td><td>149.50, 194.00</td><td>153.00, 179.50</td><td>149.50, 181.00</td><td></td></tr><tr><td>BMI (kg/m^2)</td><td>N</td><td>66</td><td>22</td><td>22</td><td>22</td><td>0.9056</td></tr><tr><td></td><td>Mean (SEM)</td><td>25.32 (0.32)</td><td>25.22 (0.56)</td><td>25.53 (0.54)</td><td>25.22 (0.59)</td><td></td></tr><tr><td></td><td>Std Dev</td><td>2.60</td><td>2.62</td><td>2.54</td><td>2.75</td><td></td></tr><tr><td></td><td>Min, Max</td><td>19.80, 29.50</td><td>20.90, 29.50</td><td>20.80, 29.50</td><td>19.80, 29.20</td><td></td></tr></table>
1b3351605843f4f237375795250c6268c7c6958a19ee667d12c5bef2a1921c76.png
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<table><tr><td> </td><td colspan="3">Preterm</td><td colspan="3">Term</td><td colspan="2">Preterm &amp; term compared</td></tr><tr><td colspan="9">Fat (g/dL)&#9830;</td></tr><tr><td>Time frame:</td><td>mean</td><td>SD</td><td>n</td><td>mean</td><td>SD</td><td>n</td><td>% difference</td><td>p-value</td></tr><tr><td>d 1-3</td><td>2.2</td><td>0.9</td><td>76</td><td>1.8</td><td>0.7</td><td>74</td><td>23</td><td>0.002</td></tr><tr><td>d 4-7</td><td>3.0</td><td>1.2</td><td>111</td><td>2.6</td><td>0.8</td><td>136</td><td>16</td><td>0.002</td></tr><tr><td>week 2</td><td>3.5</td><td>1.1</td><td>158</td><td>3.0</td><td>0.9</td><td>48</td><td>15</td><td>0.01</td></tr><tr><td>week 3-4</td><td>3.5</td><td>1.0</td><td>180</td><td>3.4</td><td>0.8</td><td>127</td><td>5</td><td>0.12</td></tr><tr><td>week 5-6</td><td>3.2</td><td>0.8</td><td>95</td><td>3.6</td><td>1.1</td><td>20</td><td>&#8722;11</td><td>0.07</td></tr><tr><td>week 7-9</td><td>3.3</td><td>0.9</td><td>120</td><td>3.4</td><td>0.8</td><td>83</td><td>&#8722;3</td><td>0.38</td></tr><tr><td>week 10-12</td><td>3.7</td><td>1.5</td><td>22</td><td>3.4</td><td>0.9</td><td>95</td><td>7</td><td>0.31</td></tr><tr><td colspan="9">Fat meta-analysis was limited to 24 hour collections.</td></tr><tr><td colspan="9">&#9830; References: [6,11,12,18,19,22,121-123,125,127,142,144,146]</td></tr><tr><td colspan="9">Lactose (kcal/dL)&#9830;&#9830;</td></tr><tr><td>Time frame:</td><td>mean</td><td>SD</td><td>n</td><td>mean</td><td>SD</td><td>n</td><td>% difference</td><td>p-value</td></tr><tr><td>d 1-3</td><td>5.1</td><td>0.7</td><td>95</td><td>5.6</td><td>0.6</td><td>59</td><td>&#8722;9</td><td>&lt; 0.00001*</td></tr><tr><td>d 4-7</td><td>6.3</td><td>1.1</td><td>114</td><td>6.0</td><td>1.0</td><td>281</td><td>4</td><td>0.009</td></tr><tr><td>week 2</td><td>5.7</td><td>0.8</td><td>231</td><td>6.2</td><td>0.6</td><td>100</td><td>&#8722;8</td><td>&lt; 0.00001*</td></tr><tr><td>week 3-4</td><td>6.0</td><td>0.5</td><td>225</td><td>6.7</td><td>0.7</td><td>193</td><td>&#8722;10</td><td>&lt; 0.00001*</td></tr><tr><td>week 5-6</td><td>5.8</td><td>0.6</td><td>104</td><td>6.1</td><td>1.0</td><td>22</td><td>&#8722;6</td><td>0.06</td></tr><tr><td>week 7-9</td><td>6.3</td><td>0.4</td><td>123</td><td>6.5</td><td>0.5</td><td>646</td><td>&#8722;2</td><td>&lt; 0.00001*</td></tr><tr><td>week 10-12</td><td>6.8</td><td>0.3</td><td>28</td><td>6.7</td><td>0.7</td><td>58</td><td>2</td><td>0.47</td></tr><tr><td colspan="9">&#9830;&#9830;References: [6,11,12,19,21-23,121,123,129-131,135,140,143,146,147]</td></tr><tr><td colspan="5">Oligosaccharides (g/dL) &#9830;&#9830;&#9830;</td><td> </td><td> </td><td> </td><td> </td></tr><tr><td>Time frame:</td><td>mean</td><td>SD</td><td>n</td><td>mean</td><td>SD</td><td>n</td><td>% difference</td><td>p-value</td></tr><tr><td>d 1-3</td><td>-</td><td>-</td><td>-</td><td>1.6</td><td>0.2</td><td>9</td><td>-</td><td>-</td></tr><tr><td>days 4-7</td><td>2.1</td><td>0.4</td><td>89</td><td>1.9</td><td>0.4</td><td>93</td><td>12</td><td>0.0009</td></tr><tr><td>week 2 (days 7&#8211;14)</td><td>2.1</td><td>0.5</td><td>89</td><td>1.9</td><td>0.4</td><td>54</td><td>7</td><td>0.004</td></tr><tr><td>week 3&#8211;4 (days 15&#8211;30)</td><td>1.7</td><td>0.3</td><td>152</td><td>1.6</td><td>0.3</td><td>46</td><td>12</td><td>0.27</td></tr><tr><td>week 5-6</td><td>-</td><td>-</td><td>-</td><td>1.4</td><td>0.3</td><td>46</td><td>-</td><td>-</td></tr><tr><td>week 7-9</td><td>-</td><td>-</td><td>-</td><td>1.3</td><td>0.3</td><td>46</td><td>-</td><td>-</td></tr><tr><td>week 10-12</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr><tr><td colspan="9">&#9830;&#9830;&#9830;References: [140,141,143,147].</td></tr></table>
5a7bc6f302926549eef460dd87f34cbaff2844a02257c6a50e36153e102c229c.png
simple
<table><tr><td>Library</td><td>Restriction enzyme</td><td>BAC vector</td><td>No. clones</td><td>Average insert size (kb)</td><td>Insert range (kb)</td><td>Genome coverage*</td><td>HICF fragments (avg)</td><td>Control clones</td><td>Successful fingerprints</td></tr><tr><td>TC_Bba</td><td>HindIII</td><td>pIndigoBAC536</td><td>36864</td><td>145</td><td>90-185</td><td>10&#215;</td><td>120.2</td><td>768</td><td>31864</td></tr><tr><td>TC_BBb</td><td>EcoRI</td><td>pIndigoBAC536</td><td>36864</td><td>120</td><td>40-160</td><td>10&#215;</td><td>102.1</td><td>768</td><td>32218</td></tr><tr><td>TC_BBc</td><td>MboI</td><td>pIndigoBAC536</td><td>36864</td><td>140</td><td>80-180</td><td>10&#215;</td><td>120.4</td><td>768</td><td>31304</td></tr></table>
5abafd2fa161e4ce9a054d3c931f087fb593c9cf0cf338720dfb550954a6c1a6.png
simple
<table><tr><td>Parameter</td><td>Value</td></tr><tr><td>Self-inductance</td><td><i>L</i> = 6 [mH]</td></tr><tr><td>Rated current</td><td><i>I</i> = 8 [A] (AC, 50/60 Hz, sinus wave)</td></tr><tr><td>Current density</td><td><i>J</i> &lt; 3 [A/mm<sup>2</sup>]</td></tr><tr><td>Ambient temperature</td><td><i>&#952;</i><sub>a</sub> = +40 [&#176;C]</td></tr><tr><td>Self-resonance frequency range</td><td><i>f</i><sub>crit</sub> = 80 &#247; 140 [kHz]</td></tr></table>
a841029d5381d0f065c42ee370d7bd0d613b2363bd2bfb17df96154f01506dc8.png
complex
<table><tr><td>Variable</td><td>OR</td><td>95 % CI</td><td><i>P</i>-value</td></tr><tr><td colspan="4">Clinical history</td></tr><tr><td> No recent history of UTI</td><td>3.8</td><td>1.3&#8211;11.4</td><td>0.02</td></tr><tr><td colspan="4">Clinical symptoms</td></tr><tr><td> Nausea/vomiting</td><td>0.4</td><td>0.1&#8211;1.4</td><td>0.14</td></tr><tr><td colspan="4">Type of UTI, symptoms</td></tr><tr><td> Cystitis, no other non-urinary symptoms</td><td>1</td><td></td><td></td></tr><tr><td> Cystitis, with back or adnominal pain symptoms only</td><td>11.4</td><td>2.1&#8211;63.0</td><td>0.01</td></tr><tr><td> Cystitis, with vaginal discharge</td><td>12.1</td><td>1.1&#8211;137.5</td><td>0.05</td></tr><tr><td> Cystitis, with other combinations of non-urinary symptoms</td><td>0.1</td><td>0.0&#8211;1.1</td><td>0.06</td></tr><tr><td> Pyelonephritis (fever or flank pain present)</td><td>2.7</td><td>0.8&#8211;9.3</td><td>0.12</td></tr></table>
f9da33b661cacb5aafb5e057630e408d8d14fdb35047ed7d16a365ae334c7ed3.png
simple
<table><tr><td>Characteristics</td><td>n (%)</td></tr><tr><td>Knowledge of modifiable risk factors</td><td></td></tr><tr><td> Don't know any risk factor</td><td>27 (3.8)</td></tr><tr><td> Only one risk factor</td><td>89 (12.4)</td></tr><tr><td> A total of two risk factors</td><td>302 (41.9)</td></tr><tr><td> Good level of knowledge*</td><td>302 (41.9)</td></tr><tr><td>Knowledge of symptoms of heart attack</td><td></td></tr><tr><td> Don't Know</td><td>586 (81.4)</td></tr><tr><td> List 1 symptom</td><td>93 (12.9)</td></tr><tr><td> List at least 2 symptoms</td><td>41 (5.7)</td></tr></table>
46a3a6d1eeabef9df20071538a6b54a0ecf486641e964510dbb586c036984517.png
simple
<table><tr><td><i>&#955;</i></td><td>0.0</td><td>0.1</td><td>0.2</td><td>0.3</td><td>0.4</td><td>0.5</td></tr><tr><td>AUC</td><td>0.916</td><td>0.919</td><td>0.920</td><td>0.922</td><td>0.919</td><td>0.918</td></tr></table>
4675037257ce8cdf546f60fb1ecf741b628f1cfa2ce249a6b406ab60aeac585c.png
complex
<table><tr><td> </td><td> </td><td colspan="2">Univariate analysis</td><td colspan="3">Multivariate analysis</td></tr><tr><td>Variable</td><td>Threshold</td><td>Unadjusted OR</td><td>CI</td><td>Adjusted OR</td><td>CI</td><td><i>P </i>value</td></tr><tr><td>Glucose variability (SD)</td><td>NA</td><td>5.9</td><td>0.9 to 37</td><td>10.4</td><td>1.3 to 86</td><td>.03</td></tr><tr><td>GCS</td><td>Every 1 point</td><td>1.1</td><td>0.8 to 1.4</td><td>0.5</td><td>0.2 to 0.99</td><td>.04</td></tr></table>
b90366b98a85360301989d2ba2feadd9b76366afdcfd8e817458f281678b3802.png
simple
<table><tr><td>Group</td><td>n</td><td>Clinical pregnancy (case), %</td><td>Abortion (case)</td><td>Multiple pregnancy (case)</td><td>Average treatment cycle</td></tr><tr><td>LE group</td><td>52</td><td>16 (30.8%)</td><td>2</td><td>2</td><td>4.1&#177;0.5</td></tr><tr><td>CC group</td><td>52</td><td>17 (32.1%)</td><td>3</td><td>3</td><td>3.9&#177;0.2</td></tr><tr><td>LE + HMG group</td><td>52</td><td>29 (55.7%)<sup>a</sup></td><td>2</td><td>5</td><td>2.9 &#177; 0.3<sup>b</sup></td></tr><tr><td>&#967;<sup>2</sup>/F</td><td>-</td><td>-</td><td>-</td><td>-</td><td>17.241</td></tr><tr><td>P</td><td>-</td><td>-</td><td>-</td><td>-</td><td>&lt;0.001</td></tr></table>
a936a76f282dc09eda107f2d27f8de4f7a531276a73e79c05971362c3461aa22.png
complex
<table><tr><td></td><td colspan="2">Data sources</td><td colspan="2">Health care organization characteristics</td></tr><tr><td>Country</td><td>Revenue/income</td><td>Practice costs</td><td>Remuneration system</td><td>Gate-keeping</td></tr><tr><td>Belgium</td><td>Interest group</td><td>Interest group</td><td>Fee-for-service</td><td>No</td></tr><tr><td>Denmark</td><td>Interest group and government agency</td><td>Interest group and government agency</td><td>Fee-for-service</td><td>Yes</td></tr><tr><td>Finland</td><td>WHO (2000) and independent organization</td><td>-</td><td>Mainly salary, some additional fee-for-service and capitation fee</td><td>Yes</td></tr><tr><td>France</td><td>Government agency</td><td>Tax office</td><td>Fee-for-service</td><td>No</td></tr><tr><td>Germany</td><td>Independent organization</td><td>Independent organization</td><td>Fee-for-service</td><td>No</td></tr><tr><td>Netherlands</td><td>Interest group</td><td>National statistics office (based on tax data)</td><td>Capitation and fee-for-service<sup>1)</sup></td><td>Yes</td></tr><tr><td>Sweden</td><td>Interest group</td><td>-</td><td>Salary</td><td>No</td></tr><tr><td>U.K.</td><td>Independent organization (1995, 2000), government agency (2005)</td><td>Independent organization (1995, 2000), government agency (2005)</td><td>Capitation, since 2004 additional quality related payments</td><td>Yes</td></tr></table>
1915a971b0c8d44abeba0341d8b3559046ba0cd1fb46f65e5e5dafd4ea177510.png
complex
<table><tr><td>PatID</td><td colspan="2">MWRT (sec; average + std)</td><td colspan="2">Percentage of 6-s time windows with difference in MWRT:</td></tr><tr><td> </td><td>Signal 1</td><td>Signal 2</td><td><underline>&gt;</underline>0.1 s</td><td><underline>&gt;</underline>0.2 s</td></tr><tr><td colspan="5">Category A</td></tr><tr><td>1</td><td>0.27 + 0.04</td><td>0.27 + 0.04</td><td>-</td><td>-</td></tr><tr><td>2</td><td>0.21 + 0.02</td><td>0.21 + 0.02</td><td>-</td><td>-</td></tr><tr><td>3</td><td>0.14 + 0.04</td><td>0.14 + 0.03</td><td>1</td><td>-</td></tr><tr><td>4</td><td>0.18 + 0.05</td><td>0.18 + 0.05</td><td>-</td><td>-</td></tr><tr><td>5</td><td>0.28 + 0.06</td><td>0.28 + 0.05</td><td>-</td><td>-</td></tr><tr><td colspan="5">Category B</td></tr><tr><td>6</td><td>0.29 + 0.04</td><td>0.24 + 0.04</td><td>13</td><td>-</td></tr><tr><td>7</td><td>0.25 + 0.02</td><td>0.25 + 0.04</td><td>2</td><td>-</td></tr><tr><td>8</td><td>0.23 + 0.02</td><td>0.21 + 0.03</td><td>2</td><td>-</td></tr><tr><td>9</td><td>0.14 + 0.04</td><td>0.14 + 0.04</td><td>3</td><td>1</td></tr><tr><td>10</td><td>0.28 + 0.03</td><td>0.24 + 0.06</td><td>14</td><td>-</td></tr><tr><td colspan="5">Category C</td></tr><tr><td>11</td><td>0.26 + 0.05</td><td>0.28 + 0.02</td><td>9</td><td>-</td></tr><tr><td>12</td><td>0.33 + 0.13</td><td>0.23 + 0.09</td><td>45</td><td>17</td></tr><tr><td>13</td><td>0.36 + 0.06</td><td>0.45 + 0.12</td><td>50</td><td>20</td></tr><tr><td>14</td><td>0.33 + 0.09</td><td>0.39 + 0.10</td><td>25</td><td>7</td></tr><tr><td>15</td><td>0.22 + 14.3</td><td>0.22 + 14.3</td><td>8</td><td>1</td></tr><tr><td>16</td><td>0.12 + 0.01</td><td>0.12 + 0.01</td><td>-</td><td>-</td></tr><tr><td>17</td><td>0.24 + 0.05</td><td>0.25 + 0.03</td><td>7</td><td>-</td></tr></table>
683338bcb742b0722e770aff8a266adcb9a62815d2aa7a124304c960ba40fd3d.png
complex
<table><tr><td></td><td colspan="3">COPD</td><td colspan="3">Non-COPD</td></tr><tr><td>Variable</td><td>Effect</td><td>CI 95 %</td><td><i>p</i></td><td>Effect</td><td>CI 95 %</td><td><i>p</i></td></tr><tr><td>Time trends (years)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> 2000&#8211;2005</td><td>0.56</td><td>&#8722;0.11; 1.23</td><td>0.102</td><td>0.35</td><td>0.25; 0.46</td><td>&lt;0.001</td></tr><tr><td> 2005&#8211;2010</td><td>0.62</td><td>&#8722;0.22; 1.26</td><td>0.059</td><td>0.39</td><td>0.29; 0.49</td><td>&lt;0.001</td></tr><tr><td> 2000&#8211;2010</td><td>1.18</td><td>0.52; 1.84</td><td>&lt;0.001</td><td>0.74</td><td>0.63; 0.86</td><td>&lt;0.001</td></tr><tr><td> Age (years)</td><td>&#8722;0.06</td><td>&#8722;0.08; &#8722;0.04</td><td>&lt;0.001</td><td>0.01</td><td>0.004; 0.01</td><td>&lt;0.001</td></tr><tr><td> Current smoker</td><td>&#8722;1.87</td><td>&#8722;2.42; &#8722;1.32</td><td>&lt;0.001</td><td>&#8722;0.98</td><td>&#8722;1.08; &#8722;0.88</td><td>&lt;0.001</td></tr><tr><td> Exceeding alcohol limits</td><td>0.04</td><td>&#8722;0.69; 0.77</td><td>0.919</td><td>0.00</td><td>&#8722;0.13; 0.14</td><td>0.969</td></tr><tr><td> Physical activity</td><td>0.93</td><td>0.34;1.53</td><td>0.002</td><td>0.98</td><td>0.85;1.11</td><td>&lt;0.001</td></tr><tr><td> Married/living with a partner</td><td>0.13</td><td>&#8722;0.44; 0.69</td><td>0.661</td><td>0.34</td><td>0,23; 0.44</td><td>&lt;0.001</td></tr><tr><td> Gender (male)</td><td>1.68</td><td>1.13; 2.23</td><td>&lt;0.001</td><td>1.38</td><td>1.29; 1.47</td><td>&lt;0.001</td></tr><tr><td colspan="7">Education (years)</td></tr><tr><td>&lt; 10 vs. 10-12</td><td>0.72</td><td>0.14; 1.31</td><td>0.015</td><td>0.72</td><td>0.60; 0.84</td><td>&lt;0.001</td></tr><tr><td>&lt; 10 vs. +13</td><td>0.99</td><td>0.09; 1.88</td><td>0.030</td><td>1.63</td><td>1.49; 1.77</td><td>&lt;0.001</td></tr><tr><td> 10-12 vs. +13</td><td>0.27</td><td>&#8722;0.58; 1.11</td><td>0.536</td><td>0.92</td><td>0.81; 1.02</td><td>&lt;0.001</td></tr></table>
65159075745d8e1105966ab37de7593ea65da00a897391ffb67f695216571924.png
complex
<table><tr><td></td><td colspan="2">WOMEN</td><td colspan="2">MEN</td></tr><tr><td></td><td>Core</td><td>Boost</td><td>Core</td><td>Boost</td></tr><tr><td></td><td>%</td><td>%</td><td>%</td><td>%</td></tr><tr><td>Self-assessed general health</td><td></td><td></td><td></td><td></td></tr><tr><td>Very good</td><td>33</td><td>21</td><td>36</td><td>24</td></tr><tr><td>Good</td><td>45</td><td>51</td><td>44</td><td>48</td></tr><tr><td>Fair</td><td>14</td><td>23</td><td>14</td><td>24</td></tr><tr><td>Bad</td><td>6</td><td>4</td><td>5</td><td>3</td></tr><tr><td>Very bad</td><td>2</td><td>1</td><td>1</td><td>1</td></tr><tr><td><i>P-value</i></td><td></td><td><i><underline>0.000</underline></i></td><td></td><td><i><underline>0.000</underline></i></td></tr><tr><td>Very good/good</td><td>78</td><td>72</td><td>79</td><td>72</td></tr><tr><td>Fair/bad/very bad</td><td>22</td><td>28</td><td>21</td><td>28</td></tr><tr><td><i>P-value</i></td><td></td><td><i><underline>0.000</underline></i></td><td></td><td><i><underline>0.000</underline></i></td></tr><tr><td>N</td><td>833</td><td>2701</td><td>736</td><td>2181</td></tr><tr><td>Portions of fruit and vegetables</td><td></td><td></td><td></td><td></td></tr><tr><td> Less than 1</td><td>5</td><td>4</td><td>8</td><td>6</td></tr><tr><td> 1 to 2</td><td>26</td><td>15</td><td>26</td><td>17</td></tr><tr><td> 3 to 4</td><td>27</td><td>27</td><td>28</td><td>24</td></tr><tr><td> 5 or more</td><td>42</td><td>55</td><td>38</td><td>54</td></tr><tr><td><i>P-value</i></td><td></td><td><i><underline>0.000</underline></i></td><td></td><td><i><underline>0.000</underline></i></td></tr><tr><td>N</td><td>833</td><td>2647</td><td>735</td><td>2133</td></tr></table>
7986af567fbfcd50bb4d709fb38c9e639c52ae281954a984562a976539614133.png
simple
<table><tr><td>Tissue</td><td>RNA expression</td><td>Tissue</td><td>RNA expression</td></tr><tr><td>Whole brain</td><td>&#8226;</td><td>Lung</td><td>&#8226;</td></tr><tr><td>Cerebral cortex</td><td>&#8226;&#8226;&#8226;</td><td>Placenta</td><td>&#8226;</td></tr><tr><td>Frontal lobe</td><td>&#8226;&#8226;</td><td>Bladder</td><td>&#8226;&#8226;</td></tr><tr><td>Parietal lobe</td><td>&#8226;&#8226;</td><td>Uterus</td><td>&#8226;&#8226;</td></tr><tr><td>Occipital lobe</td><td>&#8226;</td><td>Prostate</td><td>&#8226;</td></tr><tr><td>Temporal lobe</td><td>&#8226;</td><td>Testis</td><td>&#8226;</td></tr><tr><td>Postcentral gyrus</td><td>&#8226;</td><td>Ovary</td><td>&#8226;</td></tr><tr><td>of cerebral cortex</td><td></td><td>Liver</td><td>&#8226;</td></tr><tr><td>Pons</td><td>&#8226;</td><td>Pancreas</td><td>&#8226;&#8226;&#8226;</td></tr><tr><td>Cerebellum left</td><td>&#8226;</td><td>Adrenal gland</td><td>&#8226;&#8226;&#8226;</td></tr><tr><td>Cerebellum right</td><td>&#8226;&#8226;</td><td>Thyroid gland</td><td>&#8226;&#8226;</td></tr><tr><td>Corpus callosum</td><td>&#8226;&#8226;&#8226;</td><td>Salivary gland</td><td>&#8226;&#8226;&#8226;&#8226;</td></tr><tr><td>Amygdala</td><td>&#8226;&#8226;</td><td>Mammary gland</td><td>&#8226;</td></tr><tr><td>Caudate nucleus</td><td>&#8226;</td><td>Esophagus</td><td>&#8226;</td></tr><tr><td>Hippocampus</td><td>&#8226;</td><td>Stomach</td><td>&#8226;</td></tr><tr><td>Medulla</td><td>&#8226;</td><td>Duodenum</td><td>&#8226;&#8226;</td></tr><tr><td>oblongata</td><td></td><td>Jejunum</td><td>&#8226;&#8226;&#8226;</td></tr><tr><td>Putamen</td><td>&#8226;</td><td>Ileum</td><td>&#8226;&#8226;</td></tr><tr><td>Substantia nigra</td><td>&#8226;</td><td>Ileocecum</td><td>&#8226;</td></tr><tr><td>Accumbens</td><td>&#8226;&#8226;</td><td>Appendix</td><td>-</td></tr><tr><td>nucleus</td><td></td><td>Colon, ascending</td><td>&#8226;</td></tr><tr><td>Thalamus</td><td>&#8226;&#8226;</td><td>Colon, transverse</td><td>&#8226;</td></tr><tr><td>Pituary gland</td><td>&#8226;</td><td>Colon, descending</td><td>&#8226;</td></tr><tr><td>Spinal cord</td><td>&#8226;</td><td>Rectum</td><td>&#8226;</td></tr><tr><td>Heart</td><td>&#8226;&#8226;</td><td>Fetal brain</td><td>&#8226;</td></tr><tr><td>Aorta</td><td>&#8226;</td><td>Fetal heart</td><td>&#8226;&#8226;</td></tr><tr><td>Artrium left</td><td>&#8226;&#8226;</td><td>Fetal kidney</td><td>&#8226;&#8226;&#8226;</td></tr><tr><td>Artrium right</td><td>&#8226;&#8226;</td><td>Fetal liver</td><td>&#8226;&#8226;&#8226;</td></tr><tr><td>Ventricle left</td><td>&#8226;&#8226;&#8226;&#8226;</td><td>Fetal spleen</td><td>&#8226;</td></tr><tr><td>Ventricle right</td><td>&#8226;&#8226;</td><td>Fetal thymus</td><td>&#8226;</td></tr><tr><td>Interventricular</td><td>&#8226;&#8226;</td><td>Fetal lung</td><td>&#8226;</td></tr><tr><td>septum</td><td></td><td>Promyelocytic leukaemia,</td><td>&#8226;</td></tr><tr><td>Apex of the heart</td><td>&#8226;&#8226;&#8226;&#8226;</td><td>HL-60</td><td></td></tr><tr><td>Kidney</td><td>&#8226;</td><td>Hela S3</td><td>&#8226;</td></tr><tr><td>Skeletal muscle</td><td>&#8226;</td><td>Chronic myelogenous</td><td>&#8226;&#8226;</td></tr><tr><td>Spleen</td><td>&#8226;</td><td>leukaemia, K-562</td><td></td></tr><tr><td>Thymus</td><td>&#8226;&#8226;</td><td>Lymphoblastic leukaemia,</td><td>&#8226;&#8226;</td></tr><tr><td>Peripheral blood</td><td>&#8226;</td><td>MOLT-4</td><td></td></tr><tr><td>leukocyte</td><td></td><td>Burkitt's lymphoma, Raji</td><td>&#8226;</td></tr><tr><td>Lymph node</td><td>&#8226;</td><td>Burkitt's lymphoma, Daudi</td><td>&#8226;</td></tr><tr><td>Trachea</td><td>&#8226;</td><td></td><td></td></tr></table>
d3d0346aeb93b1a2b4b309a0e0e15142153ba1f07cd23954422c19a3ec899496.png
complex
<table><tr><td></td><td colspan="4">Rank of correct class</td></tr><tr><td></td><td>1</td><td>2</td><td>3</td><td>4</td></tr><tr><td>Single-localized only</td><td>88.8<sup>a</sup></td><td>92.2</td><td>94.5</td><td>96.3</td></tr><tr><td>CYT-NUC: 1 correct</td><td>88.2<sup>a</sup></td><td>96.1</td><td>99.5</td><td>100.0</td></tr><tr><td>CYT-NUC: both correct</td><td></td><td>66.5<sup>a</sup></td><td>82.9</td><td>96.3</td></tr><tr><td>All multi-localized: 1 correct</td><td>81.9<sup>a</sup></td><td>92.0</td><td>96.1</td><td>97.4</td></tr><tr><td>All multi-localized: both correct</td><td></td><td>59.7<sup>a</sup></td><td>73.8</td><td>83.2</td></tr></table>
4ab8628329ad41b367b11f464023b0d21f9959867da1510f7b14c3b65a7e8c6d.png
complex
<table><tr><td>Group</td><td>Patient number</td><td>Age</td><td>Sex</td><td>CRP (mg/dl)</td><td>ESR (mm)</td><td colspan="3">Medicine</td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td>PSL (mg/day)</td><td>DMARDs other than biologics</td><td>Biologics</td></tr><tr><td rowspan="8">RA</td><td>#1</td><td>62</td><td>F</td><td>0.05</td><td>46</td><td></td><td>MTX</td><td>ADA</td></tr><tr><td>#2</td><td>67</td><td>F</td><td>0.49</td><td>29</td><td></td><td>MTX</td><td></td></tr><tr><td>#3</td><td>43</td><td>F</td><td>0.2</td><td>26</td><td>2</td><td>MTX</td><td></td></tr><tr><td>#4</td><td>48</td><td>F</td><td>0.06</td><td>39</td><td></td><td></td><td></td></tr><tr><td>#5</td><td>42</td><td>F</td><td>0.3</td><td>15</td><td>16</td><td>MTX</td><td>GLM</td></tr><tr><td>#6</td><td>80</td><td>F</td><td>4.2</td><td>71</td><td></td><td>TCR, SASP, BUC</td><td></td></tr><tr><td>#7</td><td>76</td><td>M</td><td>5.9</td><td>111</td><td></td><td>MTX</td><td></td></tr><tr><td>#8</td><td>62</td><td>F</td><td>0.5</td><td>38</td><td></td><td></td><td></td></tr><tr><td rowspan="8">OA</td><td>#9</td><td>66</td><td>F</td><td>0.02</td><td>10</td><td colspan="3"></td></tr><tr><td>#10</td><td>72</td><td>F</td><td>0.42</td><td>28</td><td colspan="3"></td></tr><tr><td>#11</td><td>75</td><td>F</td><td>0.07</td><td>14</td><td colspan="3"></td></tr><tr><td>#12</td><td>74</td><td>F</td><td>0.1</td><td>40</td><td colspan="3"></td></tr><tr><td>#13</td><td>74</td><td>F</td><td>0.03</td><td>9</td><td colspan="3"></td></tr><tr><td>#14</td><td>71</td><td>F</td><td>0.02</td><td>14</td><td colspan="3"></td></tr><tr><td>#15</td><td>78</td><td>F</td><td>0.12</td><td>18</td><td colspan="3"></td></tr><tr><td>#16</td><td>81</td><td>F</td><td>0.03</td><td>18</td><td colspan="3"></td></tr></table>
13b189d0d0ef755d837260b58f0ff70259a1930777de8759c877ae148d46abcc.png
complex
<table><tr><td>Characteristics</td><td colspan="2">Matrilineal</td><td colspan="2">Patrilineal</td></tr><tr><td>Age (years)</td><td>M</td><td>F</td><td>M</td><td>F</td></tr><tr><td> Mean</td><td>41</td><td>31</td><td>40</td><td>29</td></tr><tr><td> 20&#8211;29</td><td>0</td><td>2</td><td>0</td><td>3</td></tr><tr><td> 30&#8211;39</td><td>3</td><td>5</td><td>3</td><td>4</td></tr><tr><td> 40&#8211;49</td><td>4</td><td>0</td><td>4</td><td>0</td></tr><tr><td colspan="5">Years living with HIV</td></tr><tr><td> 1&#8211;5</td><td>2</td><td>2</td><td>7</td><td>7</td></tr><tr><td> 6&#8211;10</td><td>5</td><td>5</td><td>0</td><td>0</td></tr><tr><td>Average number of children couples had after an HIV diagnosis</td><td colspan="2">2</td><td colspan="2">1</td></tr><tr><td>Average number of children couples have in their households</td><td colspan="2">4</td><td colspan="2">4</td></tr><tr><td>Couples with HIV+ children</td><td colspan="2">2</td><td colspan="2">0</td></tr></table>
3b146e448969395df83ed958dc73f78d39e943d22f71bf766aca94266e2f1180.png
simple
<table><tr><td>Category</td><td></td></tr><tr><td>Total number of reads</td><td>1,366,749</td></tr><tr><td>Total length of reads (bp)</td><td>625,825,203</td></tr><tr><td>Total number of reads cleaned</td><td>1,361,424</td></tr><tr><td>Total length of reads cleaned (bp)</td><td>598,655,879</td></tr><tr><td>Number of reads placed</td><td>1,302,023</td></tr><tr><td>Number of singletons</td><td>10,992</td></tr><tr><td>Total length of singletons (bp)</td><td>3,714,066</td></tr><tr><td>Average length of singletons (bp)</td><td>337</td></tr><tr><td>Largest singleton (bp)</td><td>692</td></tr><tr><td>Number of contigs</td><td>39,088</td></tr><tr><td>Total length of contigs (bp)</td><td>22,806,009</td></tr><tr><td>Average length of contigs (bp)</td><td>583</td></tr><tr><td>Largest contig (bp)</td><td>6,401</td></tr><tr><td>Average read coverage of contigs</td><td>24</td></tr></table>
b896478b66008eabf87841b5d1dbea0a753a0c490afed1837f70318007d6c025.png
simple
<table><tr><td>control</td><td>condition</td><td>YKO<sub>aux</sub></td><td>BC<sub>prot</sub></td><td>PB<sub>prot</sub></td></tr><tr><td>SC</td><td>control</td><td>3</td><td>3</td><td>3</td></tr><tr><td>SC</td><td>ADE&#8211;</td><td>3</td><td>3</td><td>3</td></tr><tr><td>SC</td><td>ARG&#8211;</td><td>3</td><td>3</td><td>3</td></tr><tr><td>SC</td><td>HIS&#8211;</td><td>0</td><td>3</td><td>3</td></tr><tr><td>SC</td><td>LEU&#8211;</td><td>0</td><td>3</td><td>3</td></tr><tr><td>SC</td><td>LYS&#8211;</td><td>3</td><td>2</td><td>3</td></tr><tr><td>SC</td><td>MET&#8211;</td><td>3</td><td>3</td><td>3</td></tr><tr><td>SC</td><td>SER&#8211;</td><td>3</td><td>2</td><td>3</td></tr><tr><td>SC</td><td>THR&#8211;</td><td>3</td><td>2</td><td>3</td></tr><tr><td>SC</td><td>TRP&#8211;</td><td>3</td><td>3</td><td>3</td></tr><tr><td>SC</td><td>URA&#8211;</td><td>0</td><td>3</td><td>3</td></tr><tr><td>SC</td><td>MM*</td><td>3</td><td>4</td><td>5</td></tr><tr><td>SC</td><td>MM + URA</td><td>0</td><td>1</td><td>1</td></tr><tr><td>YPD</td><td>control</td><td>11</td><td>14</td><td>12</td></tr><tr><td>YPD</td><td>cisplatin, DNA cross-linking agent</td><td>3</td><td>4</td><td>3</td></tr><tr><td>YPD</td><td>CCCP, protonophore inhibitor of oxidative phosphorylation</td><td>3</td><td>3</td><td>3</td></tr><tr><td>YPD</td><td>FCCP, protonophore inhibitor of oxidative phosphorylation</td><td>3</td><td>3</td><td>3</td></tr><tr><td>YPD</td><td>PYRQ, novel quinolone compound, PCID 16001701</td><td>4</td><td>4</td><td>4</td></tr><tr><td>YPD</td><td>YPG, obligate respiratory</td><td>2</td><td>4</td><td>4</td></tr></table>
64534b602493a86c761d7459331d12cec7edd1563cee4921774cb5a84c11a36d.png
simple
<table><tr><td></td><td>Healthy non-smoker</td><td>Smokers without COPD</td><td>Smokers with COPD</td><td></td></tr><tr><td>IL-8 (pg/ml)</td><td>307 (225-558)</td><td>262 (208-407)</td><td>360 (165-474)</td><td>P = 0.512</td></tr><tr><td>MMP-9 (ng/ml)</td><td>338 (105-679)</td><td>170 (62-465)</td><td>217 (101-351)</td><td>P = 0.437</td></tr><tr><td>TIMP-1 (ng/ml)</td><td>449 (225-814)</td><td>354 (221-535)</td><td>360 (241-469)</td><td>P = 0.556</td></tr><tr><td>MMP-9/TIMP-1</td><td>0.54 (0.29-1.16)</td><td>0.37 (0.23-1.10)</td><td>0.38 (0.27-0.96)</td><td>P = 0.789</td></tr><tr><td>TNF-&#945; (pg/ml)</td><td>2.04 (1.19-3.82)</td><td>0.529*** (&lt;0.5-1.25)</td><td>0.704*** (&lt;0.5-1.23)</td><td>P &lt; 0.001</td></tr></table>
0ed8e3f798a0429ecc33dcba0f23369f181f24be217b3cd9dd53c7d1d29169c1.png
complex
<table><tr><td></td><td colspan="3">Evaluation method: strict</td><td colspan="3">Evaluation method: average</td></tr><tr><td>Entity type</td><td>OG</td><td>OG+NN</td><td>OG+CRF</td><td>OG</td><td>OG+NN</td><td>OG+CRF</td></tr><tr><td>All</td><td>0.62</td><td>0.70</td><td>0.58</td><td>0.65</td><td>0.72</td><td>0.67</td></tr><tr><td>Chemicals</td><td>0.55</td><td>0.77</td><td>0.34</td><td>0.56</td><td>0.77</td><td>0.35</td></tr><tr><td>Cells</td><td>0.80</td><td>0.76</td><td>0.91</td><td>0.84</td><td>0.81</td><td>0.92</td></tr><tr><td>Biological processes/molecular functions</td><td>0.30</td><td>0.35</td><td>0.54</td><td>0.35</td><td>0.39</td><td>0.58</td></tr><tr><td>Cellular components</td><td>0.55</td><td>0.70</td><td>0.75</td><td>0.56</td><td>0.71</td><td>0.78</td></tr><tr><td>Organisms</td><td>0.44</td><td>0.94</td><td>0.87</td><td>0.45</td><td>0.94</td><td>0.88</td></tr><tr><td>Proteins</td><td>0.62</td><td>0.80</td><td>0.70</td><td>0.63</td><td>0.80</td><td>0.76</td></tr><tr><td>Sequences</td><td>0.54</td><td>0.75</td><td>0.12</td><td>0.57</td><td>0.76</td><td>0.13</td></tr></table>
43b68d39274509ab3e3b2408ea8030297f53aca95d0879612e4555d7637aba30.png
complex
<table><tr><td>uORF homology group</td><td>uORF length (amino acids)</td><td colspan="5">Conserved sequence features</td></tr><tr><td></td><td></td><td>Length conserved at N- and C-Termini</td><td>N-terminus (amino acids)</td><td>Middle (amino acids)</td><td>C-terminus (amino acids)</td><td>Overall</td></tr><tr><td colspan="7">uORF features conserved between Arabidopsis and rice</td></tr><tr><td>1</td><td>25&#8211;43</td><td>C-terminus</td><td></td><td></td><td>SY-rich: 5/14</td><td>20&#8211;39% STY</td></tr><tr><td>2</td><td>34&#8211;39</td><td>C-terminus</td><td></td><td></td><td>KR-rich: 5&#8211;6/20</td><td>18&#8211;24% KR</td></tr><tr><td>3</td><td>50&#8211;54</td><td>N- and C-termini</td><td>K-rich: 4/9</td><td>S-rich: 5&#8211;6/6</td><td>KR-rich: 4&#8211;5/16, SY-rich: 4&#8211;5/12</td><td>17&#8211;23% KR. 22&#8211;29% SY</td></tr><tr><td>4</td><td>52&#8211;55</td><td>N- and C-termini</td><td></td><td></td><td>SY-rich: 7/30</td><td>21&#8211;23% STY</td></tr><tr><td>5</td><td>38&#8211;41</td><td>N- and C-termini</td><td></td><td></td><td></td><td></td></tr><tr><td>6</td><td>55&#8211;68</td><td>N-terminus</td><td></td><td></td><td></td><td></td></tr><tr><td>7</td><td>57&#8211;105</td><td>N-terminus</td><td>STY-rich: 6&#8211;7/22</td><td>KR-rich: 4/5&#8211;8</td><td></td><td></td></tr><tr><td>8</td><td>61&#8211;62</td><td>N- and C-termini</td><td></td><td></td><td></td><td>CHCH domain, 17% KR</td></tr><tr><td>9</td><td>17&#8211;33</td><td>N-terminus</td><td></td><td></td><td></td><td></td></tr><tr><td>10.1</td><td>41</td><td>N- and C-termini</td><td></td><td></td><td></td><td></td></tr><tr><td>11</td><td>24&#8211;44</td><td>C-terminus</td><td></td><td></td><td>KR-rich: 5&#8211;6/15</td><td>25% KR</td></tr><tr><td>12</td><td>39&#8211;51</td><td>N- and C-termini</td><td></td><td></td><td></td><td></td></tr><tr><td>13</td><td>25</td><td>N- and C-termini</td><td></td><td>RS-rich: 10&#8211;12/18</td><td></td><td>40&#8211;48% RS</td></tr><tr><td>14</td><td>29</td><td>N-terminus</td><td></td><td>ST-rich: 4&#8211;6/10</td><td></td><td>14&#8211;32% STY</td></tr><tr><td>15.1</td><td>18&#8211;27</td><td>N- and C-termini</td><td></td><td></td><td>8/9 hydrophobic</td><td></td></tr><tr><td>15.3</td><td>43&#8211;54</td><td>N- and C-termini</td><td></td><td></td><td>13/14 completely conserved</td><td></td></tr><tr><td>16</td><td>40&#8211;62</td><td>C-terminus</td><td></td><td></td><td></td><td></td></tr><tr><td>17</td><td>36&#8211;45</td><td>C-terminus</td><td></td><td></td><td></td><td></td></tr><tr><td>18</td><td>36&#8211;38</td><td>Neither</td><td></td><td></td><td></td><td></td></tr><tr><td>19</td><td>30&#8211;34</td><td>N-terminus</td><td></td><td></td><td></td><td>29% ST</td></tr><tr><td colspan="7">uORF features conserved between Arabidopsis paralogs</td></tr><tr><td>20</td><td>41&#8211;43</td><td>N- and C-termini</td><td>STY-rich: 8&#8211;9/27</td><td></td><td></td><td>23% STY</td></tr><tr><td>21</td><td>87&#8211;90</td><td>N- and C-termini</td><td></td><td>ST-rich: 11&#8211;12/17&#8211;22</td><td></td><td>22&#8211;25% ST</td></tr><tr><td>22</td><td>25</td><td>N- and C-termini</td><td></td><td></td><td></td><td></td></tr><tr><td>23</td><td>69&#8211;71</td><td>Neither</td><td></td><td></td><td></td><td></td></tr><tr><td>24</td><td>31&#8211;34</td><td>N- and C-termini</td><td></td><td></td><td></td><td></td></tr><tr><td>25</td><td>25</td><td>N- and C-termini</td><td></td><td></td><td></td><td></td></tr><tr><td>26</td><td>22</td><td>N-terminus</td><td></td><td></td><td></td><td></td></tr></table>
f437eb68db2897acd74ac124986fb187e0c446c64d1a9db561984c3ea8607787.png
simple
<table><tr><td>Assay</td><td>Cyclohexane extract</td><td>Ethanolic extract</td><td>Water extract</td></tr><tr><td>ORAC-PYR (mTE/g)</td><td>1.5 &#177; 0.4</td><td>28.1 &#177; 2.5</td><td>13.7 &#177; 1.3</td></tr><tr><td>DPPH (mTE/g)</td><td>0.20 &#177; 0.03</td><td>2.25 &#177; 0.07</td><td>1.01 &#177; 0.07</td></tr><tr><td>DPPH (IC<sub>50</sub> &#956;g/mL)</td><td>95.0 &#177; 0.2</td><td>24.2 &#177; 0.5</td><td>24.5 &#177; 0.8</td></tr><tr><td>TEAC (mTE/g)</td><td>0.64 &#177; 0.09</td><td>7.22 &#177; 0.08</td><td>5.32 &#177; 0.02</td></tr><tr><td>TEAC (IC<sub>50</sub> mg/mL)</td><td>0.800 &#177; 0.132</td><td>0.071 &#177; 0.009</td><td>0.089 &#177; 0.002</td></tr><tr><td>FRAP (mTE/g)</td><td>0.27 &#177; 0.01</td><td>6.70 &#177; 0.03</td><td>6.69 &#177; 0.09</td></tr><tr><td>FRAP (mmol Fe<sup>II</sup>/g)</td><td>1.20 &#177; 0.01</td><td>22.5 &#177; 0.1</td><td>20.9 &#177; 0.1</td></tr><tr><td>Total phenolics (mGAE/g)</td><td>1.22 &#177; 0.12</td><td>7.82 &#177; 0.01</td><td>4.32 &#177; 0.05</td></tr><tr><td>Total flavonoids (mCE/g)</td><td>0.18 &#177; 0.01</td><td>0.63 &#177; 0.01</td><td>0.69 &#177; 0.02</td></tr><tr><td>Total anthocyanin (mg cyanidin 3-<i>O</i>-glucoside/g)</td><td>n.d.</td><td>n.d.</td><td>n.d.</td></tr></table>
1640a49de9d2d9952992914412f49cd8d6fec928b229e642f7aaa2e338f647f3.png
simple
<table><tr><td>Population</td><td>mu (empirical)</td><td>C.I. for mu (empirical)</td><td>C.I. for simulations</td><td>C.I. bootstrapped data</td></tr><tr><td>BKL</td><td>5.6178e-05</td><td>&#8722;1.1812e-04 to 2.3048e-04</td><td>&#8722;1.2157e-07 to 1.1975e-07</td><td>&#8722;1.0721e-05 to 1.2234e-04</td></tr><tr><td>MHX</td><td>4.1704e-04</td><td>1.5234e-05 to 8.1885e-04</td><td>&#8722;3.9497e-06 to 3.9043e-06</td><td>1.3536e-04 to 5.3538e-04</td></tr></table>
192768529d7d610b1ee7acb08e56825539e9d3fc34df55571e5b4a9bfb406704.png
complex
<table><tr><td></td><td>Baseline</td><td>6-month</td><td></td></tr><tr><td></td><td>Mean (SD)</td><td>Mean (SD)</td><td><i>P</i> value</td></tr><tr><td colspan="4">Knowledge</td></tr><tr><td> General knowledge on health and tobacco use (range: 0&#8211;7)</td><td>4.5 &#177; 1.0</td><td>5.2 &#177; 0.7</td><td>0.02</td></tr><tr><td> Specific knowledge on smoking-related diseases (range: 0&#8211;10)</td><td>7.6 &#177; 2</td><td>7.7 &#177; 1.6</td><td>0.8</td></tr><tr><td colspan="4">Attitudes <sup>a</sup></td></tr><tr><td> Banning all tobacco advertisement</td><td>3.4 &#177; 0.5</td><td>3.3 &#177; 0.6</td><td>0.14</td></tr><tr><td> Recognition of own &amp; professional role in smoking cessation counseling</td><td>3.3 &#177; 0.4</td><td>3.2 &#177; 0.3</td><td>0.17</td></tr><tr><td> Bad image of woman smokers</td><td>2.97 &#177; 0.3</td><td>3.2 &#177; 0.3</td><td>0.001</td></tr><tr><td>Practice in smoking cessation counseling</td><td>n (%)</td><td>n (%)</td><td></td></tr><tr><td> Had practiced</td><td>15 (62.5)</td><td>12 (55.0)</td><td>-</td></tr><tr><td> Among those who had practiced <sup>b</sup></td><td></td><td></td><td></td></tr><tr><td> Ask</td><td>0.83 (1.0)</td><td>0.92 (0.9)</td><td></td></tr><tr><td> Advise</td><td>1.38 (1.1)</td><td>1.38 (0.8)</td><td></td></tr><tr><td> Assess</td><td>0.92 (1.0)</td><td>0.92 (0.9)</td><td></td></tr><tr><td> Assist</td><td>1.00 (1.1)</td><td>1.15 (0.9)</td><td></td></tr><tr><td> Arrange</td><td>0.42 (0.9)</td><td>0.17 (0.4)</td><td></td></tr></table>
fe3e3acc8c5c43159caaf6d2568849e7ee423d2d7c84408802674ff0ef759134.png
simple
<table><tr><td> Parameter</td><td> Step size <i>&#945;</i></td><td> Nr. epochs</td><td> Decay constant <i>&#955;</i></td></tr><tr><td></td><td> 0.3</td><td> 10</td><td><i>N</i>/4</td></tr></table>
2b5d101760949a68abc390c8169708d2e1ce4399cd58e40ad12b99a5d3901a9a.png
complex
<table><tr><td>Research procedure</td><td colspan="2">Responder</td><td>Definitely Yes (%)</td><td>Probably Yes (%)</td><td>Probably No (%)</td><td>Definitely No (%)</td></tr><tr><td rowspan="5">&#8220;Drawing 1 extra vial of blood for research purposes when other blood is being obtained for clinical purposes. (Would not require an extra blood draw.)&#8221;</td><td rowspan="4">Parent by Infant Status</td><td>NICU &#8804; 31 wks</td><td>50</td><td>22</td><td>15</td><td>13</td></tr><tr><td>NICU 34-36 wks</td><td>45</td><td>38</td><td>3</td><td>13</td></tr><tr><td>NICU Term with hypoglycemia</td><td>45</td><td>45</td><td>8</td><td>3</td></tr><tr><td>Well-Baby Nursery/Mother-Baby Unit (37-42 weeks)</td><td>45</td><td>43</td><td>10</td><td>3</td></tr><tr><td colspan="2">Healthcare Provider</td><td>66</td><td>32</td><td>2</td><td>0</td></tr><tr><td rowspan="5">&#8220;Drawing 1 extra vial of blood for research purposes only. (Would require an extra blood draw.)&#8221;</td><td rowspan="4">Parent by Infant Status</td><td>NICU &#8804; 31 wks</td><td>12</td><td>32</td><td>37</td><td>20</td></tr><tr><td>NICU 34-36 wks</td><td>28</td><td>42</td><td>15</td><td>15</td></tr><tr><td>NICU Term with hypoglycemia</td><td>18</td><td>33</td><td>33</td><td>15</td></tr><tr><td>Well-Baby Nursery/Mother-Baby Unit (37-42 weeks)</td><td>32</td><td>33</td><td>33</td><td>15</td></tr><tr><td colspan="2">Healthcare Provider</td><td>22</td><td>41</td><td>28</td><td>10</td></tr><tr><td rowspan="5">&#8220;2 Echocardiograms (heart ultrasound). These are not associated with any pain, but occasionally some infants can feel slight discomfort&#8221;</td><td rowspan="4">Parent by Infant Status</td><td>NICU &#8804; 31 wks</td><td>33</td><td>55</td><td>12</td><td>5</td></tr><tr><td>NICU 34-36 wks</td><td>22</td><td>52</td><td>12</td><td>14</td></tr><tr><td>NICU Term with hypoglycemia</td><td>18</td><td>56</td><td>25</td><td>0</td></tr><tr><td>Well-Baby Nursery/Mother-Baby Unit (37-42 weeks)</td><td>30</td><td>43</td><td>23</td><td>3</td></tr><tr><td colspan="2">Healthcare Provider</td><td>50</td><td>48</td><td>2</td><td>0</td></tr><tr><td rowspan="5">&#8220;MRI brain without sedation&#8221;</td><td rowspan="4">Parent by Infant Status</td><td>NICU &#8804; 31 wks</td><td>20</td><td>40</td><td>20</td><td>20</td></tr><tr><td>NICU 34-36 wks</td><td>20</td><td>25</td><td>27</td><td>28</td></tr><tr><td>NICU Term with hypoglycemia</td><td>7</td><td>27</td><td>40</td><td>20</td></tr><tr><td>Well-Baby Nursery/Mother-Baby Unit (37-42 weeks)</td><td>12</td><td>22</td><td>42</td><td>23</td></tr><tr><td colspan="2">Healthcare Provider</td><td>28</td><td>38</td><td>24</td><td>11</td></tr><tr><td rowspan="5">&#8220;MRI brain with sedation&#8221;</td><td rowspan="4">Parent by Infant Status</td><td>NICU &#8804; 31 wks</td><td>15</td><td>38</td><td>27</td><td>30</td></tr><tr><td>NICU 34-36 wks</td><td>12</td><td>18</td><td>37</td><td>33</td></tr><tr><td>NICU Term with hypoglycemia</td><td>5</td><td>21</td><td>20</td><td>54</td></tr><tr><td>Well-Baby Nursery/Mother-Baby Unit (37-42 weeks)</td><td>5</td><td>20</td><td>39</td><td>36</td></tr><tr><td colspan="2">Healthcare Provider</td><td>3</td><td>16</td><td>48</td><td>33</td></tr></table>
9e1f4f5d361c777a43149c64dbe4b69f1259847bba6a1e4550f68a6433a19e88.png
simple
<table><tr><td>Ethical view</td><td>Emic view (relative frequency) n = 65</td><td>Possibilities</td></tr><tr><td><i>Finning</i>[100]</td><td>&#8220;Fishing that only takes shark fins (63,4%)</td><td>&#8220;Best monitor&#8221;; &#8220;Give high fine&#8221;</td></tr><tr><td>Immature Capture [101]</td><td>Fish small sharks (61,9%)</td><td>&#8220;drop the baby sharks&#8221;, put closure, &#8220;increase the mesh of the nets&#8221;</td></tr><tr><td><i>Bycatch</i> Capture [102]</td><td>&#8220;Fishing with trawlnet&#8221;, &#8220;fishnet excess&#8221;, &#8220;stuck with longline hook in steel&#8221; (46,8%)</td><td>&#8220;forbid trawling&#8221;, &#8220;control gillnets use&#8221;, &#8220;forbid longline hooks stuck with Spiral wire Rope use&#8221;</td></tr><tr><td>Females Capture [70]</td><td>&#8220;female fishing&#8221;; &#8220;fish a female carrying a baby shark in the belly&#8221; (15,1%)</td><td>&#8220;Drop females&#8221;; &#8220;make closure&#8221;</td></tr></table>
70a991ddb58389002b14624d37c5d85d97cedc26702404a1113304b809c467bc.png
complex
<table><tr><td rowspan="2">Measures</td><td colspan="4">MBCT, <i>n</i> (%)</td><td colspan="4">Self-help, <i>n</i> (%)</td></tr><tr><td>Recovered</td><td>Improved</td><td>Same</td><td>Deteriorated</td><td>Recovered</td><td>Improved</td><td>Same</td><td>Deteriorated</td></tr><tr><td colspan="9">Post-treatment</td></tr><tr><td colspan="9"> (MBCT = 28; Self-help = 32)</td></tr><tr><td>Concern over mistakes*</td><td>6 (21)</td><td>12 (43)</td><td>10 (36)</td><td>0 (0)</td><td>4 (13)</td><td>8 (25)</td><td>20 (63)</td><td>0 (0)</td></tr><tr><td>Clinical perfectionism</td><td>8 (29)</td><td>0 (0)</td><td>20 (71)</td><td>0 (0)</td><td>4 (13)</td><td>0 (0)</td><td>28 (88)</td><td>0 (0)</td></tr><tr><td>DASS depression*</td><td>10 (36)</td><td>4 (14)</td><td>11 (39)</td><td>3 (11)</td><td>3 (9)</td><td>5 (16)</td><td>22 (69)</td><td>2 (6)</td></tr><tr><td>DASS anxiety</td><td>3 (11)</td><td>3 (11)</td><td>22 (79)</td><td>0 (0)</td><td>3 (9)</td><td>2 (6)</td><td>26 (81)</td><td>1 (3)</td></tr><tr><td>DASS stress*</td><td>5 (18)</td><td>10 (36)</td><td>10 (36)</td><td>3 (11)</td><td>3 (9)</td><td>3 (9)</td><td>24 (75)</td><td>2 (6)</td></tr><tr><td colspan="9"> 10-week follow-up</td></tr><tr><td>Concern over mistakes</td><td>5 (18)</td><td>11 (39)</td><td>12 (43)</td><td>0 (0)</td><td>1 (3)</td><td>0 (0)</td><td>18 (56)</td><td>4 (13)</td></tr><tr><td>Clinical perfectionism*</td><td>10 (36)</td><td>0 (0)</td><td>18 (64)</td><td>0 (0)</td><td>4 (13)</td><td>0 (0)</td><td>27 (84)</td><td>1 (3)</td></tr><tr><td>DASS depression</td><td>7 (25)</td><td>5 (18)</td><td>12 (43)</td><td>4 (14)</td><td>6 (19)</td><td>3 (9)</td><td>18 (56)</td><td>5 (16)</td></tr><tr><td>DASS anxiety</td><td>3 (11)</td><td>5 (18)</td><td>18 (64)</td><td>2 (7)</td><td>3 (9)</td><td>4 (13)</td><td>22 (69)</td><td>3 (9)</td></tr><tr><td>DASS stress*</td><td>3 (11)</td><td>9 (32)</td><td>14 (50)</td><td>2 (7)</td><td>0 (0)</td><td>6 (19)</td><td>22 (69)</td><td>4 (13)</td></tr></table>
1d461809df972c427fa7f0edac4e403be66d99f49642a1f0f0ffa583ae6d6afc.png
complex
<table><tr><td></td><td colspan="3">Dietary Group 2</td><td></td></tr><tr><td>Index</td><td>C</td><td>LP</td><td>R</td><td>SEM</td></tr><tr><td colspan="5">Day 3</td></tr><tr><td>Initial body weight (g/mouse)</td><td>8.5</td><td>8.4</td><td>8.6</td><td>0.10</td></tr><tr><td>Final body weight (g/mouse)</td><td>10.4 <sup>X</sup></td><td>7.2 <sup>Y</sup></td><td>7.4 <sup>Y</sup></td><td>0.10</td></tr><tr><td>Food intake (g/mouse &#183; 3d) 3</td><td>7.8 <sup>X</sup></td><td>4.5 <sup>Y</sup></td><td>3.6 <sup>Y</sup></td><td>0.20</td></tr><tr><td>Food intake (g/g body weight &#183; d)3</td><td>0.19 <sup>X</sup></td><td>0.13 <sup>Y</sup></td><td>0.09 <sup>Z</sup></td><td>0.001</td></tr><tr><td>Carcass dry matter (g/100g wet weight)</td><td>30.3 <sup>X</sup></td><td>28.3 <sup>Y</sup></td><td>27.9 <sup>Y</sup></td><td>0.30</td></tr><tr><td>Carcass lipid (g/100g wet weight)4</td><td>9.2 <sup>X</sup></td><td>5.9 <sup>Y</sup></td><td>3.4 <sup>Z</sup></td><td>0.03</td></tr><tr><td colspan="5">Day 14</td></tr><tr><td>Initial body weight (g/mouse)</td><td>8.3</td><td>8.5</td><td>8.6</td><td>0.08</td></tr><tr><td>Final body weight (g/mouse) 4</td><td>17.5 <sup>X</sup></td><td>6.1 <sup>Y</sup></td><td>6.0 <sup>Y</sup></td><td>0.02</td></tr><tr><td>Food intake (g/mouse &#183; 14d) 5</td><td>60.6 <sup>X</sup></td><td>18.2 <sup>Y</sup></td><td>12.6 <sup>Z</sup></td><td>0.01</td></tr><tr><td>Food intake (g/g body weight &#183; d)</td><td>0.20 <sup>X</sup></td><td>0.11 <sup>Y</sup></td><td>0.08 <sup>Z</sup></td><td>0.002</td></tr><tr><td>Carcass dry matter (g/100g wet weight)</td><td>32.1 <sup>X</sup></td><td>28.1 <sup>Y</sup></td><td>26.5 <sup>Z</sup></td><td>0.26</td></tr><tr><td>Carcass lipid (g/100g wet weight)</td><td>10.4 <sup>X</sup></td><td>4.5 <sup>Y</sup></td><td>2.7 <sup>Z</sup></td><td>0.34</td></tr></table>
15f57f23637b95ce6f170f04a1151bb7ec13ebfd54517432a8b6630d8c9506cc.png
complex
<table><tr><td></td><td colspan="3">rs3782886</td><td><i>p</i> for trend</td><td>Minor allele frequencies</td></tr><tr><td></td><td colspan="2">Non-minor homo</td><td>Minor homo</td><td></td><td></td></tr><tr><td></td><td>Major homo (A/A)</td><td>Hetero (A/G)</td><td>(G/G)</td><td></td><td></td></tr><tr><td colspan="6">Short stature</td></tr><tr><td colspan="6"> Total participants (BMI &lt; 25 kg/m<sup>2</sup>)</td></tr><tr><td>No. at risk</td><td>232</td><td>123</td><td>17</td><td></td><td></td></tr><tr><td>No. of cases (percentage)</td><td>56 (24.1)</td><td>30 (24.4)</td><td>9 (52.9)</td><td></td><td></td></tr><tr><td rowspan="2">Model 1</td><td>1.00</td><td>0.96 (0.55, 1.68)</td><td>4.18 (1.37, 12.75)</td><td>0.127</td><td>1.39 (0.91, 2.13)</td></tr><tr><td colspan="2">1.00</td><td>4.23 (1.41, 12.72)</td><td>0.010</td><td></td></tr><tr><td rowspan="2">Model 2</td><td>1.00</td><td>1.03 (0.57, 1.86)</td><td>4.25 (1.35, 13.39)</td><td>0.092</td><td>1.47 (0.94, 2.31)</td></tr><tr><td colspan="2">1.00</td><td>4.21 (1.36, 12.98)</td><td>0.012</td><td></td></tr><tr><td colspan="6">Reduced maximum voluntary tongue pressure against the palate (MTP)</td></tr><tr><td colspan="6"> Total participants (BMI &lt; 25 kg/m<sup>2</sup>)</td></tr><tr><td>No. at risk</td><td>232</td><td>123</td><td>17</td><td></td><td></td></tr><tr><td>No. of cases (percentage)</td><td>82 (35.3)</td><td>44 (35.8)</td><td>11 (64.7)</td><td></td><td></td></tr><tr><td rowspan="2">Model 1</td><td>1.00</td><td>1.00 (0.62, 1.61)</td><td>3.56 (1.21, 10.53)</td><td>0.149</td><td>1.32 (0.91, 1.92)</td></tr><tr><td colspan="2">1.00</td><td>3.57 (1.22, 10.43)</td><td>0.020</td><td></td></tr><tr><td rowspan="2">Model 2</td><td>1.00</td><td>1.11 (0.66, 1.86)</td><td>4.49 (1.45, 13.92)</td><td>0.054</td><td>1.49 (0.99, 2.24)</td></tr><tr><td colspan="2">1.00</td><td>4.31 (1.41, 13.11)</td><td>0.010</td><td></td></tr></table>
304580be39634358a70ebd056a07b7cde7c361ba3cde80c94c632540ba68126e.png
simple
<table><tr><td>Case</td><td>Fusion</td><td>mit.</td><td>CD34</td><td>CD99</td><td>EMA</td><td>SMA</td><td>S100</td><td>BCL2</td><td>STAT6</td><td>EGR1</td><td>Others</td></tr><tr><td>1</td><td>Ex4-Ex3</td><td>8/10</td><td>+</td><td>+</td><td>-</td><td>-</td><td>-</td><td>+</td><td>+</td><td>1</td><td>desmine -</td></tr><tr><td>2</td><td>Positive</td><td>3/10</td><td>+</td><td>+</td><td></td><td>+</td><td>+</td><td>+</td><td>+</td><td>3</td><td>desmine -, CK-pan -</td></tr><tr><td>3</td><td>Ex4-Ex3</td><td>3/10</td><td>+</td><td></td><td></td><td>-</td><td></td><td>+</td><td>+</td><td>1</td><td>desmine -</td></tr><tr><td>4</td><td>Negative</td><td>0/10</td><td>-</td><td>+</td><td>-</td><td>+</td><td>-</td><td>+</td><td>+</td><td>1</td><td>desmine -</td></tr><tr><td>5</td><td>Ex4-Ex3</td><td>0/10</td><td>+</td><td>+</td><td></td><td>-</td><td>-</td><td>+</td><td>+</td><td>1</td><td>desmine -, CK-pan -</td></tr><tr><td>6</td><td>Ex4-Ex3</td><td>4/10</td><td>+</td><td>w+</td><td></td><td></td><td>-</td><td>+</td><td>+</td><td>2</td><td>CK-pan +</td></tr><tr><td>7</td><td>Negative</td><td>1/10</td><td>+</td><td>+</td><td>-</td><td>-</td><td>-</td><td>+</td><td>+</td><td>5</td><td>CK-pan -</td></tr><tr><td>8</td><td>Positive</td><td>0/10</td><td>+</td><td>+</td><td></td><td>-</td><td></td><td>+</td><td>+</td><td>2</td><td>CK-pan -</td></tr><tr><td>9</td><td>Ex7-Ex3</td><td>0/10</td><td>+</td><td>+</td><td></td><td></td><td></td><td>+</td><td>+</td><td>2</td><td>CK-pan -</td></tr><tr><td>10</td><td>Negative</td><td>1/10</td><td>+</td><td>+</td><td>-</td><td>-</td><td>-</td><td>+</td><td>+</td><td>3</td><td>desmine -, CK-pan -</td></tr><tr><td>11</td><td>Negative</td><td>0/10</td><td>+</td><td>+</td><td></td><td>-</td><td>-</td><td>+</td><td>+</td><td>2</td><td>desmine -, CK-pan -</td></tr><tr><td>12</td><td>Ex4-Ex3</td><td>1/10</td><td>+</td><td></td><td></td><td></td><td></td><td>+</td><td>+</td><td>4</td><td>desmine -</td></tr><tr><td>13</td><td>Negative</td><td>0/10</td><td>+</td><td>+</td><td>f+</td><td>-</td><td>-</td><td>+</td><td>+</td><td>3</td><td>desmine -</td></tr><tr><td>14</td><td>Ex4-Ex3</td><td>0/10</td><td>+</td><td>+</td><td></td><td></td><td></td><td>+</td><td>+</td><td>1</td><td></td></tr><tr><td>15</td><td>Ex4-Ex3</td><td>0/10</td><td>+</td><td>+</td><td></td><td>-</td><td>-</td><td>w+</td><td>+</td><td>NA</td><td></td></tr><tr><td>16</td><td>Ex6-Ex17</td><td>30/10</td><td>+</td><td>+</td><td></td><td></td><td></td><td>+</td><td>+</td><td>3</td><td>desmine -</td></tr><tr><td>17</td><td>Ex6-Ex18</td><td>13/10</td><td>+</td><td>+</td><td>-</td><td></td><td>-</td><td>+</td><td>+</td><td>1</td><td>desmine -, CK-pan -</td></tr><tr><td>18</td><td>Ex4-Ex3</td><td>0/10</td><td>+</td><td></td><td></td><td>-</td><td>-</td><td>+</td><td>+</td><td>2</td><td>desmine f+, CK-pan -</td></tr><tr><td>19</td><td>Ex4-Ex3</td><td>0/10</td><td>+</td><td></td><td></td><td>-</td><td>-</td><td></td><td>+</td><td>1</td><td>desmine -</td></tr><tr><td>20</td><td>Negative</td><td>1/10</td><td>+</td><td></td><td></td><td>-</td><td>-</td><td></td><td>+</td><td>1</td><td>desmine -, CK-pan -</td></tr><tr><td>21</td><td>Ex6-Ex18</td><td>0/10</td><td>+</td><td></td><td></td><td></td><td></td><td>+</td><td>+</td><td>1</td><td></td></tr><tr><td>22</td><td>Ex6-Ex3</td><td>0/10</td><td>+</td><td></td><td></td><td>w+</td><td>-</td><td></td><td>+</td><td>1</td><td>desmine -</td></tr><tr><td>23</td><td>Ex4-Ex3</td><td>8/10</td><td>+</td><td>+</td><td></td><td>-</td><td>-</td><td>+</td><td>+</td><td>1</td><td>desmine -</td></tr><tr><td>24</td><td>Negative</td><td>1/10</td><td>+</td><td>+</td><td></td><td></td><td></td><td>+</td><td>+</td><td>3</td><td>desmine -, CK-pan -</td></tr><tr><td>25</td><td>Ex4-Ex3</td><td>1/10</td><td>+</td><td></td><td></td><td></td><td></td><td></td><td>+</td><td>1</td><td></td></tr><tr><td>26</td><td>NA</td><td>0/10</td><td>+</td><td></td><td></td><td></td><td></td><td></td><td>+</td><td>5</td><td></td></tr><tr><td>27</td><td>Ex6-Ex18</td><td>0/10</td><td>+</td><td></td><td></td><td></td><td></td><td></td><td>+</td><td>2</td><td></td></tr><tr><td>28</td><td>NA</td><td>6/10</td><td>+</td><td>-</td><td></td><td></td><td>-</td><td></td><td>+</td><td>5</td><td>desmine -, CK-pan -</td></tr></table>
84c3dde9ea208d29e248de6679377716a65e2024b34e05605c3901a70c2fb69f.png
simple
<table><tr><td>Study (Year)Location<i>Review article cited</i></td><td>Nature of Practice</td><td>Amount of Practice</td><td>Study Results, Attributes and Limitations </td></tr><tr><td>IWAO et al. (1999) [51]Japan/Kyoto<i>uncontrolled observational study</i></td><td>Qigong walking = mild and slow walking using all muscles in body Conventional walking = normal walking</td><td>Evaluated 90 min post lunch on 3 different days Qigong walking (30&#8211;40 min)Conventional walking (30 min)</td><td>Plasma glucose decreased in both exercise groups Conventional = 228 to 205 mg/dL; Qigong = 223 to 216 mg/dLCompared with no exercise, 229 mg/dL (<i>p</i> &lt; 0.025)<i>Very short-duration study where subjects served as their own controls. Little information known about subjects.</i></td></tr><tr><td>LIU et al. (2010) [52]Australia/Queensland<i>Pre-post feasibility trial uncontrolled observational study</i></td><td>Kai/Mai Tai Chi/Qigong style - defines qigong as "mind-body movement therapy...most involve combined training of movement, breathing, and mind, with a strong focus on the mind&#8220;</td><td>12 weeks1&#8211;1.5 h 3&#215;/wk with Tai Chi/Qigong instructor; also encouraged to practice at home</td><td>Good adherence and high acceptability; Significant reductions with BMI, HbA1c and IR<i>No subjects were taking medications. Combination of group and individual practice.</i></td></tr><tr><td>HUANG et al. (2012) [53]Taiwan/Kaohsiung<i>quasi-experimental</i></td><td>Defines qigong as breathing training. Qi meaning breath and gong meaning to train. Five Element Gymnastics (FEG) consolidates Qigong, Xiang Gong &amp; Martial Arts with Gymnastics.</td><td>16 weeksFEG practiced following DVD 2 &#215;/day for 20 min each session for 16 weeks with 2 sessions in first week taught by certified fitness instructor and group education sessions at weeks 3, 7, 11 and 14; Control group maintained usual activities</td><td>HbA1C change -6.77 (<i>p</i> &lt; 0.01)<i>Included insulin-dependent subjects; however, medications remained same. Combination of instructor led group practice and DVD led at home individual practice.</i></td></tr></table>
a43f1797aa4c2a10c854132f836d493d5ae42878f3318d592dcc03346ec3680e.png
complex
<table><tr><td></td><td colspan="6">Categories of Alcohol Consumption</td><td></td></tr><tr><td></td><td>Never(n = 248)</td><td><i>Former</i>(<i>n </i>= 208)</td><td>0.1-10.0 g/d(n = 638)</td><td>10.1-20.0 g/d(n = 152)</td><td>20.1-40.0g/d (n = 114)</td><td>&gt; 40.0 g/d(n = 132)</td><td><i>p</i>&#182;</td></tr><tr><td>CCA-IMT, mm</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> Age-adjusted</td><td>0.805 &#177; 0.009</td><td><i>0.778 &#177; 0.010*</i></td><td>0.775 &#177; 0.006**</td><td>0.773 &#177; 0.012*</td><td>0.770 &#177; 0.014*</td><td>0.769 &#177; 0.013*</td><td>0.028</td></tr><tr><td> Multivariate-adjusted&#8224;</td><td>0.814 &#177; 0.009</td><td><i>0.782 &#177; 0.010*</i></td><td>0.776 &#177; 0.006**</td><td>0.767 &#177; 0.012**</td><td>0.756 &#177; 0.013**</td><td>0.758 &#177; 0.013**</td><td>&lt; 0.001</td></tr><tr><td> Multivariate-adjusted+HDL&#8225;</td><td>0.811 &#177; 0.009</td><td><i>0.778 &#177; 0.010*</i></td><td>0.775 &#177; 0.006**</td><td>0.769 &#177; 0.012**</td><td>0.762 &#177; 0.013**</td><td>0.769 &#177; 0.013**</td><td>0.009</td></tr><tr><td>CB-IMT, mm</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> Age-adjusted</td><td>0.868 &#177; 0.008</td><td><i>0.848 &#177; 0.009</i></td><td>0.843 &#177; 0.005**</td><td>0.842 &#177; 0.011*</td><td>0.850 &#177; 0.012</td><td>0.827 &#177; 0.011**</td><td>0.018</td></tr><tr><td> Multivariate-adjusted&#8224;</td><td>0.874 &#177; 0.008</td><td><i>0.852 &#177; 0.009</i></td><td>0.843 &#177; 0.005**</td><td>0.839 &#177; 0.010**</td><td>0.841 &#177; 0.012*</td><td>0.821 &#177; 0.011**</td><td>0.001</td></tr><tr><td> Multivariate-adjusted+HDL&#8225;</td><td>0.871 &#177; 0.008</td><td><i>0.848 &#177; 0.009</i></td><td>0.842 &#177; 0.005**</td><td>0.841 &#177; 0.010*</td><td>0.847 &#177; 0.012</td><td>0.832 &#177; 0.012**</td><td>0.038</td></tr><tr><td>Higher CCA-IMT&#167;</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> Prevalence, %</td><td>27.8</td><td>24.5</td><td>19.1</td><td>17.1</td><td>16.7</td><td>12.1</td><td>&lt; 0.001</td></tr><tr><td> Age-adjusted</td><td>1</td><td>0.83 (<i>0.54-1.28</i>)</td><td>0.72 (0.51-1.03)</td><td>0.64 (0.38-1.08)</td><td>0.64 (0.36-1.14)</td><td>0.47 (0.26-0.85)*</td><td>0.007</td></tr><tr><td> Multivariate-adjusted&#8224;</td><td>1</td><td>0.78 (<i>0.50-1.22</i>)</td><td>0.68 (0.47-0.98)*</td><td>0.56 (0.32-0.95)*</td><td>0.50 (0.28-0.92)*</td><td>0.38 (0.20-0.71)*</td><td>0.001</td></tr><tr><td> Multivariate-adjusted+HDL&#8225;</td><td>1</td><td>0.78 (<i>0.49-1.22</i>)</td><td>0.68 (0.47-0.99)*</td><td>0.57 (0.33-0.98)*</td><td>0.53 (0.29-0.98)*</td><td>0.41 (0.21-0.78)*</td><td>0.004</td></tr></table>
0c7c370ae9c0e83c567dac66b89b4e3e258cd628939c48a6a58724677671e61e.png
simple
<table><tr><td>Name</td><td>Expression plasmids</td><td>Properties</td></tr><tr><td>YJ0</td><td>pBS01A</td><td>Empty vector</td></tr><tr><td>YJ-G01</td><td>pYJ-G01</td><td><i>TcGPAT1</i> expression</td></tr><tr><td>YJ-G02</td><td>pYJ-G02</td><td><i>TcGPAT2</i> expression</td></tr><tr><td>YJ-L01</td><td>pYJ-L01</td><td><i>TcLPAT1</i> expression</td></tr><tr><td>YJ-L02</td><td>pYJ-L02</td><td><i>TcLPAT2</i> expression</td></tr><tr><td>YJ-D01</td><td>pYJ-D01</td><td><i>TcDGAT1</i> expression</td></tr><tr><td>YJ-D02</td><td>pYJ-D02</td><td><i>TcDGAT2</i> expression</td></tr><tr><td>YJ-111</td><td>pYJ-111</td><td><i>TcGPAT1</i>, <i>TcLPAT1</i> and <i>TcDGAT1</i> gene combination expression</td></tr><tr><td>YJ-112</td><td>pYJ-112</td><td><i>TcGPAT1</i>, <i>TcLPAT1</i> and <i>TcDGAT2</i> gene combination expression</td></tr><tr><td>YJ-121</td><td>pYJ-121</td><td><i>TcGPAT1</i>, <i>TcLPAT2</i> and <i>TcDGAT1</i> gene combination expression</td></tr><tr><td>YJ-122</td><td>pYJ-122</td><td><i>TcGPAT1</i>, <i>TcLPAT2</i> and <i>TcDGAT2</i> gene combination expression</td></tr><tr><td>YJ-211</td><td>pYJ-211</td><td><i>TcGPAT2</i>, <i>TcLPAT1</i> and <i>TcDGAT1</i> gene combination expression</td></tr><tr><td>YJ-212</td><td>pYJ-212</td><td><i>TcGPAT2</i>, <i>TcLPAT1</i> and <i>TcDGAT2</i> gene combination expression</td></tr><tr><td>YJ-221</td><td>pYJ-221</td><td><i>TcGPAT2</i>, <i>TcLPAT2</i> and <i>TcDGAT1</i> gene combination expression</td></tr><tr><td>YJ-222</td><td>pYJ-222</td><td><i>TcGPAT2</i>, <i>TcLPAT2</i> and <i>TcDGAT2</i> gene combination expression</td></tr></table>
348d126b89143c70ce3e8cf36ba743213d5fc5371476e6c8b2f2e6f2fdaa2f4c.png
simple
<table><tr><td>Variable</td><td>Sensitivity</td><td>Specificity</td><td>Positive predictive value</td><td>Negative predictive value</td></tr><tr><td>B3 criterion</td><td>0.44</td><td>0.91</td><td>0.13</td><td>0.87</td></tr><tr><td>MSI histology</td><td>0.79</td><td>0.85</td><td>0.20</td><td>0.80</td></tr><tr><td>MsPath score*</td><td>0.86</td><td>0.85</td><td>0.18</td><td>0.82</td></tr><tr><td>Tumor infiltrating lymphocytes</td><td>0.52</td><td>0.65</td><td>0.37</td><td>0.63</td></tr><tr><td>Any mucinous differentiation</td><td>0.63</td><td>0.69</td><td>0.34</td><td>0.65</td></tr><tr><td>Poor differentiation</td><td>0.27</td><td>0.89</td><td>0.13</td><td>0.88</td></tr><tr><td>Family history of cancers (B4.B5)</td><td>0.64</td><td>0.92</td><td>0.13</td><td>0.87</td></tr><tr><td>Revised Bethesda guidelines</td><td>0.78</td><td>0.77</td><td>0.3</td><td>0.7</td></tr><tr><td>Revised Bethesda guidelines (modified B1, age limit &lt;45 y)</td><td>0.78</td><td>0.89</td><td>0.19</td><td>0.80</td></tr></table>
1e2cf5ad2fd4fd011fe73dd3ebc05b74b3c104a98c61c0e3aef8d02fbc3f2e9b.png
complex
<table><tr><td rowspan="5"> </td><td colspan="4">Men</td><td colspan="4">Women</td></tr><tr><td colspan="3">Household income</td><td rowspan="3"><i>P</i></td><td colspan="3">Household income</td><td rowspan="3"><i>P</i></td></tr><tr><td>Low</td><td>Middle</td><td>High</td><td>Low</td><td>Middle</td><td>High</td></tr><tr><td colspan="9">Total energy intake, kcal/day</td></tr><tr><td> Model 1</td><td>1,968 (39)</td><td>2,061 (21)</td><td>1,958 (36)</td><td>0.012</td><td>1,701 (27)</td><td>1,710 (16)</td><td>1,757 (27)</td><td>0.259</td></tr><tr><td> Model 2</td><td>1,969 (39)</td><td>2,062 (21)</td><td>1,953 (36)</td><td>0.009</td><td>1,703 (27)</td><td>1,710 (16)</td><td>1,754 (27)</td><td>0.336</td></tr><tr><td> Model 3</td><td>1,978 (40)</td><td>2,061 (21)</td><td>1,948 (37)</td><td>0.010</td><td>1,711 (28)</td><td>1,710 (16)</td><td>1,748 (28)</td><td>0.474</td></tr><tr><td colspan="9">Protein, % energy</td></tr><tr><td> Model 1</td><td>15.3 (0.2)</td><td>15.3 (0.1)</td><td>15.5 (0.2)</td><td>0.718</td><td>15.1 (0.2)</td><td>15.5 (0.1)</td><td>15.8 (0.2)</td><td>0.037</td></tr><tr><td> Model 2</td><td>15.3 (0.2)</td><td>15.3 (0.1)</td><td>15.5 (0.2)</td><td>0.748</td><td>15.0 (0.2)</td><td>15.5 (0.1)</td><td>15.9 (0.2)</td><td>0.016</td></tr><tr><td> Model 3</td><td>15.5 (0.3)</td><td>15.3 (0.1)</td><td>15.4 (0.2)</td><td>0.742</td><td>15.2 (0.2)</td><td>15.5 (0.1)</td><td>15.7 (0.2)</td><td>0.378</td></tr><tr><td colspan="9">Fat, % energy</td></tr><tr><td> Model 1</td><td>22.3 (0.5)</td><td>25.0 (0.3)</td><td>26.1 (0.5)</td><td>&lt;0.001</td><td>24.6 (0.4)</td><td>26.2 (0.3)</td><td>27.6 (0.4)</td><td>&lt;0.001</td></tr><tr><td> Model 2</td><td>23.2 (0.5)</td><td>25.0 (0.3)</td><td>25.9 (0.5)</td><td>0.001</td><td>24.7 (0.4)</td><td>26.2 (0.3)</td><td>27.5 (0.4)</td><td>&lt;0.001</td></tr><tr><td> Model 3</td><td>23.2 (0.5)</td><td>25.0 (0.3)</td><td>25.9 (0.5)</td><td>0.001</td><td>24.9 (0.5)</td><td>26.1 (0.3)</td><td>27.3 (0.5)</td><td>0.003</td></tr><tr><td colspan="9">Carbohydrate, % energy</td></tr><tr><td> Model 1</td><td>61.5 (0.6)</td><td>59.5 (0.3)</td><td>58.2 (0.6)</td><td>0.001</td><td>60.2 (0.5)</td><td>58.2 (0.3)</td><td>56.5 (0.5)</td><td>&lt;0.001</td></tr><tr><td> Model 2</td><td>61.3 (0.6)</td><td>59.5 (0.3)</td><td>58.4 (0.6)</td><td>0.003</td><td>60.1 (0.5)</td><td>58.2 (0.3)</td><td>56.5 (0.5)</td><td>&lt;0.001</td></tr><tr><td> Model 3</td><td>61.1 (0.6)</td><td>59.5 (0.3)</td><td>58.6 (0.6)</td><td>0.015</td><td>59.7 (0.5)</td><td>58.3 (0.3)</td><td>56.8 (0.5)</td><td>0.002</td></tr></table>
31613bf1e0177154617a71e732264e9e0a6a435f3c9e182eabf9aecf36a6d3b0.png
complex
<table><tr><td>Words</td><td>Mean</td><td>SD</td></tr><tr><td colspan="3">Arousal</td></tr><tr><td>Negative</td><td>5.24</td><td>1.49</td></tr><tr><td>Positive</td><td>4.68</td><td>1.47</td></tr><tr><td>Neutral</td><td>2.77</td><td>1.32</td></tr><tr><td colspan="3">Valence</td></tr><tr><td>Negative</td><td>2.58</td><td>0.79</td></tr><tr><td>Positive</td><td>7.62</td><td>0.55</td></tr><tr><td>Neutral</td><td>5.00</td><td>0.34</td></tr></table>
916b953f011baa1a6505dd0c6318c56ecf5fbc7dbd8be2021b8ddb4bdb4ade7d.png
complex
<table><tr><td>Characteristics</td><td>Survivors (<i>n</i> = 64)</td><td>Non-survivors (<i>n</i> = 46)</td><td><i>P</i></td></tr><tr><td colspan="4">At ICU admission</td></tr><tr><td> Age (years old)</td><td>60 [45&#8211;69]</td><td>63 [57&#8211;73]</td><td>0.03</td></tr><tr><td> Male sex</td><td>49 (76.6)</td><td>29 (63)</td><td>0.12</td></tr><tr><td> Weight (kg)</td><td>70 [60&#8211;80]</td><td>70 [58&#8211;79]</td><td>0.84</td></tr><tr><td> Body mass index (kg/m<sup>2</sup>)</td><td>24.6 [20.7&#8211;27.8]</td><td>24.4 [20.7&#8211;28]</td><td>0.58</td></tr><tr><td> APACHE II</td><td>21 [17&#8211;25]</td><td>26 [22&#8211;29]</td><td>0.0007</td></tr><tr><td> Simplified Acute Physiology Score 2</td><td>52 [41&#8211;60]</td><td>57 [45&#8211;73]</td><td>0.05</td></tr><tr><td> History of congestive heart failure</td><td>6 (9.4)</td><td>6 (13)</td><td>0.54</td></tr><tr><td> Liver cirrhosis</td><td>0</td><td>4 (8.7)</td><td>0.03</td></tr><tr><td> Chronic obstructive pulmonary disease</td><td>15 (23.4)</td><td>11 (23.9)</td><td>0.96</td></tr><tr><td> Chronic kidney disease requiring dialysis</td><td>4 (6.3)</td><td>5 (10.9)</td><td>0.38</td></tr><tr><td> Cancer (&lt;3 months) </td><td>11 (17.2)</td><td>5 (10.9)</td><td>0.35</td></tr><tr><td> Diabetes mellitus</td><td>15 (23.4)</td><td>24 (52.2)</td><td>0.002</td></tr><tr><td> Immunodepression</td><td>16 (25)</td><td>8 (17.4)</td><td>0.34</td></tr><tr><td colspan="4">At the day of aminoglycoside administration</td></tr><tr><td> Day since admission</td><td>1 [0&#8211;5]</td><td>2 [0&#8211;7]</td><td>0.32</td></tr><tr><td> Emergent surgery</td><td>17 (26.6)</td><td>8 (17.4)</td><td>0.26</td></tr><tr><td> Sequential Organ Failure Assessment score</td><td>9 [7&#8211;10]</td><td>10 [9&#8211;13]</td><td>0.004</td></tr><tr><td> Weight (kg)</td><td>70 [60&#8211;81]</td><td>70.5 [60&#8211;80]</td><td>0.92</td></tr><tr><td> Weight gain since ICU admission (kg)</td><td>0 [0&#8211;2]</td><td>0 [0&#8211;3]</td><td>0.62</td></tr><tr><td> Extracorporeal membrane oxygenation</td><td>7 (10.9)</td><td>8 (17.4)</td><td>0.33</td></tr><tr><td> Catecholamines</td><td>49 (76.6)</td><td>40 (87)</td><td>0.17</td></tr><tr><td> Norepinephrine (&#956;g/kg/min)</td><td>0.26 [0.04&#8211;0.61]</td><td>0.83 [0.41&#8211;1.65]</td><td>0.0002</td></tr><tr><td> PaO<sub>2</sub>/FiO<sub>2</sub> ratio</td><td>200 [140&#8211;280]</td><td>147 [103&#8211;259]</td><td>0.06</td></tr><tr><td> Renal replacement therapy</td><td>19 (29.7)</td><td>21 (45.7)</td><td>0.09</td></tr><tr><td> Glomerular filtration rate (mL/min)</td><td>53.5 [29.7&#8211;90.4]</td><td>29.8 [0&#8211;65.9]</td><td>0.008</td></tr><tr><td> Lactate level (mmol/L)</td><td>1.7 [1.2&#8211;3.1]</td><td>3.2 [1.4&#8211;7]</td><td>0.01</td></tr><tr><td> Platelet count (G/L)</td><td>205 [105&#8211;339]</td><td>201 [86&#8211;270]</td><td>0.47</td></tr><tr><td> Hematocrit level (%)</td><td>29.2 [26&#8211;31.3]</td><td>29.7 [26&#8211;32.4]</td><td>0.54</td></tr><tr><td> Leucocyte count (G/L)</td><td>15.6 [9.4&#8211;22.3]</td><td>13.4 [7.8&#8211;18.7]</td><td>0.22</td></tr><tr><td> Glasgow Coma Scale score</td><td>15 [14, 15]</td><td>15 [12&#8211;15]</td><td>0.23</td></tr><tr><td> Bilirubin level (mg/dL)</td><td>12 [8&#8211;17]</td><td>145 [9&#8211;26]</td><td>0.22</td></tr><tr><td> Prothrombin time (%)</td><td>72 [57&#8211;81]</td><td>60 [47&#8211;75]</td><td>0.01</td></tr><tr><td> Proteinemia (g/L)</td><td>58 [49&#8211;64]</td><td>52 [46&#8211;62]</td><td>0.1</td></tr><tr><td> Amikacin <i>C</i><sub>max</sub> between 60 and 80 mg/L</td><td>34 (53.1)</td><td>13 (28.3)</td><td>0.009</td></tr></table>
d3f803d92a1351dde0d469096c7178cb95f8a5bcec9d7b132783ecf959630b4c.png
complex
<table><tr><td><i>Dependent variables</i></td><td>Adjusted R<sup>2</sup></td><td>Independent variables (partial regression coefficient) <sup>b</sup></td></tr><tr><td rowspan="2"><i>Tension</i></td><td rowspan="2">0.214***</td><td>SOC (&#8722;0.408***)</td></tr><tr><td>Job demand (quantity) (&#8722;0.193**)</td></tr><tr><td rowspan="2"><i>Fatigue</i></td><td rowspan="2">0.306**</td><td>SOC (&#8722;0.390***)</td></tr><tr><td>Job demand (quantity) (&#8722;0.357***)</td></tr><tr><td rowspan="3"><i>Anxiety</i></td><td rowspan="3">0.313***</td><td>SOC (&#8722;0.352***)</td></tr><tr><td>Job demand (quality) (&#8722;0.349***)</td></tr><tr><td>Low support from supervisor (0.187*)</td></tr><tr><td rowspan="4"><i>Depression</i></td><td rowspan="4">0.335***</td><td>SOC (&#8722;0.411***)</td></tr><tr><td>Low support from supervisor (0.197**)</td></tr><tr><td>Married (&#8722;0.195**)</td></tr><tr><td>Job demand (quantity) (&#8722;0.158*)</td></tr><tr><td><i>Subjective symptoms</i></td><td>0.092***</td><td>SOC (&#8722;0.314***)</td></tr><tr><td rowspan="3"><i>Vigor</i></td><td rowspan="3">0.395***</td><td>SOC (0.275**)</td></tr><tr><td>Low job aptitude (&#8722;0.206**)</td></tr><tr><td>Low support from supervisor (&#8722;0.254***)</td></tr><tr><td rowspan="3"><i>Self-rated health</i></td><td rowspan="3">0.018*</td><td>Physical job load (&#8722;0.183**)</td></tr><tr><td>Work duration (0.182*)</td></tr><tr><td>Low support from colleagues (&#8722;0.157*)</td></tr></table>
60f2afb11a051dd9afd4b954950d75cdc41487417ddfc8e07859b0531ba6e727.png
complex
<table><tr><td colspan="2">Signs and symptoms of Flammer syndrome</td><td>Patient 1</td><td>Patient 2</td><td>Patient 3</td><td>Patient 4</td></tr><tr><td>1</td><td>Do you suffer from cold hands or feet even in summer time?</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>2</td><td>Do you have a low blood pressure?</td><td>+</td><td>&#8211;</td><td>+</td><td>&#8211;</td></tr><tr><td>3</td><td>Are you less thirsty than others?</td><td>+</td><td>+</td><td>&#8211;</td><td>&#8211;</td></tr><tr><td>4</td><td>If you have to take medications, do you have the feeling that you react strongly to them?</td><td>+</td><td>Not known</td><td>Not known</td><td>+</td></tr><tr><td>5</td><td>Do you suffer from migraines?</td><td>+</td><td>Not reported</td><td>&#8211;</td><td>Not reported</td></tr><tr><td>6</td><td>Do you suffer from tinnitus (ringing in your ears)?</td><td>Not reported</td><td>+</td><td>+</td><td>+</td></tr><tr><td>7</td><td>Do you often feel cold when you are not moving for sometime?</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>8</td><td>Do you need a relatively long time to fall asleep, especially when you are cold?</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>9</td><td>Do you identify smells better than others?</td><td>+</td><td>Not reported</td><td>+</td><td>Not known</td></tr><tr><td>10</td><td>Have you noticed reversible skin blotches (white or red) when you were excited or angry?</td><td>+</td><td>+</td><td>+</td><td>+</td></tr></table>
16be8c61095e525e4b08f0d3f94bccf9206b3786d182656f81a06d5f38b4e180.png
complex
<table><tr><td>Group</td><td>Type</td><td>Model</td><td>AUC</td><td>Specificity</td><td>Sensitivity</td></tr><tr><td rowspan="3">Early</td><td>Parenclitic</td><td>-7.44 (Alpha-centrality)</td><td>0.624</td><td>1</td><td>0.189 &#177; 0.124</td></tr><tr><td></td><td>-0.16 (Pill use)</td><td></td><td></td><td></td></tr><tr><td>RDLG</td><td>-2.09 (GPC1)</td><td>0.663</td><td>1</td><td>0.163 &#177; 0.087</td></tr><tr><td rowspan="2">Late</td><td>Parenclitic</td><td>0.07 (Connections to MUC16)</td><td>0.904</td><td>1</td><td>0.803 &#177; 0.077</td></tr><tr><td>RDLG</td><td>2.14 (MUC16)</td><td>0.904</td><td>1</td><td>0.767 &#177; 0.082</td></tr></table>
836a512021c0b2b93f6bb3a79667e15853c79e3fcf8ea699adf959c325cc510e.png
simple
<table><tr><td> </td><td>N = 90</td></tr><tr><td>None</td><td> </td></tr><tr><td>No contraceptive use (includes abstinence, withdrawal, celibacy)</td><td>49</td></tr><tr><td>Pregnant or trying to get pregnant</td><td>5</td></tr><tr><td>Permanent methods</td><td> </td></tr><tr><td>Tubal ligation, partner vasectomy</td><td>6</td></tr><tr><td>Long-acting methods</td><td> </td></tr><tr><td>Implanon</td><td>6</td></tr><tr><td>Depo</td><td>5</td></tr><tr><td>IUD</td><td>1</td></tr><tr><td>Reversible methods</td><td> </td></tr><tr><td>The pill</td><td>4</td></tr><tr><td>Condoms</td><td>17*</td></tr><tr><td>Diaphragm</td><td>0</td></tr></table>
75cf02081633bbc7649ad26d18c447785cc3b950d09c340aa970bb209b4268dc.png
complex
<table><tr><td rowspan="2">Brain region</td><td rowspan="2">Group</td><td colspan="5">Content (ng/mg protein)</td></tr><tr><td>DA</td><td>DOPAC</td><td>HVA</td><td>NA</td><td>5-HT </td></tr><tr><td rowspan="2">Striatum</td><td>6-OHDA</td><td>1364 &#177; 337.2</td><td>1266 &#177; 223</td><td>777.2 &#177; 107.8</td><td>131 &#177; 19.5</td><td>227.9 &#177; 15.7</td></tr><tr><td>6-OHDA + SR</td><td>2099 &#177; 759.9</td><td>1190 &#177; 61.8</td><td>828.4 &#177; 74.4</td><td>125.7 &#177; 6.5</td><td>248.1 &#177; 32.2</td></tr><tr><td rowspan="2">Prefrontal cortex</td><td>6-OHDA</td><td>16.8 &#177; 4.1</td><td>20.2 &#177; 11.7</td><td>35.1 &#177; 7.5</td><td>104.9 &#177; 29</td><td>198.4 &#177; 107.1</td></tr><tr><td>6-OHDA + SR</td><td>17.1 &#177; 4.7</td><td>12.3 &#177; 5.4</td><td>42.5 &#177; 5.3</td><td>208.7 &#177; 16.6*</td><td>467.3 &#177; 24.9*</td></tr><tr><td rowspan="2">Hippocampus</td><td>6-OHDA</td><td>23.4 &#177; 7.8</td><td>17.6 &#177; 2.8</td><td>53.9 &#177; 14.2</td><td>195.9 &#177; 44.4</td><td>116.4 &#177; 59.6</td></tr><tr><td>6-OHDA + SR</td><td>28 &#177; 4.4</td><td>20.3 &#177; 2.5</td><td>32.8 &#177; 8.5</td><td>297.5 &#177; 28.2</td><td>165.6 &#177; 41.6</td></tr></table>
172c796ac1b773861fa1dfa5ce395539db69ed7a6de7fc96e704933ea0605530.png
complex
<table><tr><td></td><td></td><td colspan="3">Bone densities (HU)</td></tr><tr><td></td><td>Number of implant sites</td><td>Inside (SD)</td><td>Outside (SD)</td><td>Combination of inside and outside (SD) </td></tr><tr><td>Jaw section</td><td></td><td></td><td></td><td></td></tr><tr><td> Maxilla</td><td>31</td><td>523.8 (267.5)</td><td>558.1 (202.2)<sup>a</sup></td><td>540.9 (201.9)<sup>b</sup></td></tr><tr><td> Mandible</td><td>73</td><td>567.6 (228.7)</td><td>712.4 (222.3)<sup>a</sup></td><td>640.0 (214.9)<sup>b</sup></td></tr><tr><td>Region</td><td></td><td></td><td></td><td></td></tr><tr><td>Anterior</td><td>15</td><td>659.6 (270.1)</td><td>730.4 (279.1)</td><td>695.0 (206.0)</td></tr><tr><td>Posterior</td><td>89</td><td>536.9 (232.1)</td><td>655.6 (216.9)</td><td>596.2 (214.3)</td></tr><tr><td>Procedure</td><td></td><td></td><td></td><td></td></tr><tr><td>1-stage</td><td>66</td><td>571.5 (233.8)</td><td>690.1 (235.6)</td><td>630.8 (223.1)</td></tr><tr><td>2-stage</td><td>38</td><td>525.1 (251.9)</td><td>625.2 (207.6)</td><td>575.2 (198.1)</td></tr></table>
c6b41ea714040ea6e6985d9b8b8a04cccc77124e1fc1a88b7ca1bf6997cc1f4c.png
complex
<table><tr><td></td><td>Total patients</td><td>NLR &lt;3</td><td>NLR &#8805;3</td><td>p-value</td></tr><tr><td></td><td>(n =632)</td><td>(n =376)</td><td>(n =256)</td><td></td></tr><tr><td>Age, years</td><td>55.18 (13 &#8211; 91)</td><td>53.48 (17 &#8211; 91)</td><td>57.68 (13 &#8211; 89)</td><td>0.001</td></tr><tr><td>Sex</td><td></td><td></td><td></td><td>0.001</td></tr><tr><td>Men</td><td>297 (47.0)</td><td>156 (41.5)</td><td>141 (55.1)</td><td rowspan="2"></td></tr><tr><td>Women</td><td>335 (53.0)</td><td>220 (58.5)</td><td>115 (44.9)</td></tr><tr><td>Body-mass index</td><td>24.51 &#177; 3.81</td><td>24.59 &#177; 3.86</td><td>24.35 &#177; 3.72</td><td>0.445</td></tr><tr><td>Previous abdominal surgery (%)</td><td>140 (22.2)</td><td>89 (23.7)</td><td>51 (19.9)</td><td>0.284</td></tr><tr><td>Severity of cholecystitis</td><td></td><td></td><td></td><td>&lt; 0.001</td></tr><tr><td>Simple cholecystitis</td><td>503 (79.6)</td><td>342 (91.0)</td><td>161 (62.9)</td><td rowspan="2"></td></tr><tr><td>Severe cholecystitis*</td><td>129 (20.4)</td><td>34 (9.0)</td><td>95 (37.1)</td></tr><tr><td>Content in the gallbladder</td><td></td><td></td><td></td><td>0.122</td></tr><tr><td>No</td><td>121 (19.1)</td><td>64 (17.0)</td><td>57 (22.3)</td><td rowspan="2"></td></tr><tr><td>Stone(s)</td><td>511 (80.9)</td><td>312 (83.0)</td><td>199 (77.7)</td></tr><tr><td>Serum leukocyte count</td><td>7700</td><td>6200</td><td>11300</td><td>&lt; 0.001</td></tr><tr><td></td><td>(1500 &#8211; 39300)</td><td>(2700 &#8211; 16500)</td><td>(1500 &#8211; 39300)</td><td></td></tr><tr><td>Presence of symptom</td><td></td><td></td><td></td><td>0.038</td></tr><tr><td>Abdominal pain</td><td>586 (92.7)</td><td>342 (91.0)</td><td>244 (95.3)</td><td rowspan="4"></td></tr><tr><td>Indigestion (discomfort)</td><td>25 (4.0)</td><td>19 (5.1)</td><td>6 (2.3)</td></tr><tr><td>Fever/Chill</td><td>7 (1.1)</td><td>3 (0.8)</td><td>4 (1.6)</td></tr><tr><td>Others</td><td>14 (2.2)</td><td>12 (3.2)</td><td>2 (0.8)</td></tr><tr><td>Admission route</td><td></td><td></td><td></td><td>&lt; 0.001</td></tr><tr><td>ED</td><td>280 (44.3)</td><td>120 (31.9)</td><td>160 (62.5)</td><td rowspan="2"></td></tr><tr><td>Outpatient clinic</td><td>352 (55.7)</td><td>256 (68.1)</td><td>96 (37.5)</td></tr><tr><td>Time to incision</td><td></td><td></td><td></td><td>0.497</td></tr><tr><td>Mean &#177; SD</td><td>35.1 &#177; 27.0</td><td>34.5 &#177; 26.9</td><td>36.0 &#177; 27.2</td><td rowspan="2"></td></tr><tr><td>Median (range)</td><td>23.0 (1 &#8211; 120)</td><td>22.0 (1 &#8211; 120)</td><td>24.0 (2 &#8211; 119)</td></tr></table>
706078c1903fb3f986d894880c484caaca9a0fe9adadbbe571d7931743dc7a0a.png
simple
<table><tr><td>Layer</td><td>Type</td><td>Input</td><td>Kernel</td><td>Output</td></tr><tr><td>1</td><td>Convolution</td><td>28 &#215; 28 &#215; 1</td><td>5 &#215; 5</td><td>24 &#215; 24 &#215; 32</td></tr><tr><td>2</td><td>Max pooling</td><td>24 &#215; 24 &#215; 32</td><td>2 &#215; 2</td><td>12 &#215; 12 &#215; 64</td></tr><tr><td>3</td><td>Convolution</td><td>12 &#215; 12 &#215; 64</td><td>5 &#215; 5</td><td>8 &#215; 8 &#215; 64</td></tr><tr><td>4</td><td>Max pooling</td><td>8 &#215; 8 &#215; 64</td><td>2 &#215; 2</td><td>4 &#215; 4 &#215; 64</td></tr><tr><td>5</td><td>Fully connected</td><td>4 &#215; 4 &#215; 64</td><td>4 &#215; 4</td><td>512 &#215; 1</td></tr><tr><td>6</td><td>Fully connected</td><td>512 &#215; 1</td><td>1 &#215; 1</td><td>2 &#215; 1</td></tr><tr><td>7</td><td>Softmax</td><td>2 &#215; 1</td><td>N/A</td><td>Result</td></tr></table>
0d76571c2c0ed8877a27dae24f29659d4e2799a30b8b03449e1e8d0e6a300333.png
simple
<table><tr><td>Group</td><td>Age</td><td>Optical density</td><td>Standard deviation</td></tr><tr><td>A</td><td>&lt;10</td><td>0.7840</td><td>0.0044</td></tr><tr><td>B</td><td>11-20</td><td>0.6974</td><td>0.0435</td></tr><tr><td>C</td><td>21-30</td><td>0.7028</td><td>0.0300</td></tr><tr><td>D</td><td>31-40</td><td>0.7730</td><td>0.0375</td></tr><tr><td>E</td><td>41-50</td><td>0.7270</td><td>0.0347</td></tr><tr><td>F</td><td>51-60</td><td>0.8272</td><td>0.0379</td></tr><tr><td>G</td><td>61-70</td><td>0.7953</td><td>0.0253</td></tr><tr><td>H</td><td>71-80</td><td>0.8435</td><td>0.0264</td></tr><tr><td>I</td><td>80&gt;</td><td>0.8166</td><td>0.0409</td></tr></table>
196980b397241b5f2cd2f117b5b5defca0b5dd52853cb9028408421701bbf93f.png
simple
<table><tr><td>Home visits to recipients of programme ITNs</td><td>N = 13</td><td>95% Conf. Int.</td></tr><tr><td># of household ITNs found matched self-report</td><td>13/13 (100%)</td><td>-</td></tr><tr><td>Total # of ITNs found in all visited households</td><td>32</td><td>-</td></tr><tr><td>Mean ITNs per household</td><td>32/13 = 2.5</td><td>-</td></tr><tr><td> ITNs in working order and mounted</td><td>28/32 (88%)</td><td>(72 &#8211; 95)</td></tr><tr><td> ITNs torn and not mounted</td><td>1/32 (3%)</td><td>-</td></tr><tr><td> ITNs torn and still mounted</td><td>3/32 (9%)</td><td>-</td></tr><tr><td>Households in which none of ITNs were mounted</td><td>3/13 (33%)</td><td>(8 &#8211; 50)</td></tr></table>
be4d96754dc01293931365dd9b07fe0aa51d8aa4357d8ed3a8268261c9287af5.png
simple
<table><tr><td>Variables</td><td>Food-Secure Household (<i>n</i> = 5413)</td><td>Food-Insecure Household without Hunger (<i>n</i> = 381)</td><td>Food-Insecure Household with Hunger (<i>n</i> = 68)</td><td><i>p</i>-Value</td></tr><tr><td>Energy <sup>1</sup></td><td>28.1 &#177; 0.8</td><td>31.7 &#177; 3.1</td><td>43.7 &#177; 6.1</td><td>0.029</td></tr><tr><td>Protein <sup>2</sup></td><td>9.60 &#177; 0.5</td><td>8.70 &#177; 1.8</td><td>8.40 &#177; 4.5</td><td>0.868</td></tr><tr><td>Protein <sup>3</sup></td><td>18.3 &#177; 0.7</td><td>23.1 &#177; 2.7</td><td>34.7 &#177; 6.6</td><td>0.003</td></tr><tr><td>Fiber <sup>3</sup></td><td>97.6 &#177; 0.3</td><td>98.3 &#177; 0.7</td><td>98.9 &#177; 1.1</td><td>0.567</td></tr><tr><td>Calcium <sup>3</sup></td><td>66.1 &#177; 0.8</td><td>70.7 &#177; 2.9</td><td>86.4 &#177; 3.4</td><td>0.002</td></tr><tr><td>Phosphorous <sup>3</sup></td><td>7.80 &#177; 0.4</td><td>13.1 &#177; 2.1</td><td>24.5 &#177; 6.6</td><td>&lt;0.001</td></tr><tr><td>Iron <sup>3</sup></td><td>19.6 &#177; 0.7</td><td>24.9 &#177; 2.7</td><td>29.9 &#177; 6.1</td><td>0.018</td></tr><tr><td>Sodium <sup>4</sup></td><td>6.5 &#177; 0.4</td><td>8.60 &#177; 1.8</td><td>13.0 &#177; 4.2</td><td>0.072</td></tr><tr><td>Potassium <sup>4</sup></td><td>66.0 &#177; 0.8</td><td>67.9 &#177; 2.9</td><td>84.7 &#177; 4.6</td><td>0.017</td></tr><tr><td>Vitamin A <sup>3</sup></td><td>39.6 &#177; 0.8</td><td>46.7 &#177; 3.2</td><td>55.9 &#177; 7.1</td><td>0.006</td></tr><tr><td>Vitamin B1 <sup>3</sup></td><td>17.1 &#177; 0.7</td><td>25.4 &#177; 3.2</td><td>23.8 &#177; 5.5</td><td>0.003</td></tr><tr><td>Vitamin B2 <sup>3</sup></td><td>41.3 &#177; 0.8</td><td>45.7 &#177; 3.3</td><td>60.2 &#177; 7.3</td><td>0.023</td></tr><tr><td>Niacin <sup>3</sup></td><td>24.5 &#177; 0.7</td><td>37.2 &#177; 3.4</td><td>46.1 &#177; 7.7</td><td>&lt;0.001</td></tr><tr><td>Vitamin C <sup>3</sup></td><td>47.5 &#177; 1.0</td><td>59.8 &#177; 2.9</td><td>68.6 &#177; 6.4</td><td>&lt;0.001</td></tr></table>
2bb25fa0c65446a71fdddbaa5a36928f5bf318ace21ce7696b56517c34f58ab6.png
simple
<table><tr><td>Step</td><td>covariate removed</td><td>no. of variables</td><td>log-l</td><td>AIC</td><td>cvlog-l</td></tr><tr><td>0</td><td>all (null model)</td><td>0</td><td>-675.7</td><td>-675.7</td><td>-846.8</td></tr><tr><td>1</td><td>none (final model)</td><td>6</td><td>-502.1</td><td>-509.1</td><td>-743.1</td></tr><tr><td>2</td><td>&#946;<sub>2</sub>M</td><td>5</td><td>-504.6</td><td>-510.6</td><td>-738.8</td></tr><tr><td>3</td><td>&#946;<sub>2</sub>M and sex</td><td>4</td><td>-618.9</td><td>-623.9</td><td>-738.8</td></tr></table>
c13baef647c125ab47d4b16c70460e13cbf7a8c62dc22501271f080a2a003679.png
simple
<table><tr><td>Centrality measures (<i>M</i><sub>i</sub>)</td><td><i>|PeC </i>&#8745; <i>M</i><sub>i</sub>|</td><td>|<i>M<sub>i </sub></i>- <i>PeC</i>|</td><td>Non-essential proteins in {<i>M<sub>i </sub></i>- <i>PeC</i>}</td><td>Percentage of non-essential proteins in {<i>M<sub>i </sub></i>- <i>PeC</i>} with low PeC</td></tr><tr><td>Degree Centrality (DC)</td><td>18</td><td>82</td><td>44</td><td>54.5%</td></tr><tr><td>Betweenness Centrality (BC)</td><td>16</td><td>84</td><td>47</td><td>51.1%</td></tr><tr><td>Closeness Centrality (CC)</td><td>16</td><td>84</td><td>51</td><td>56.9%</td></tr><tr><td>Subgraph Centrality(SC)</td><td>11</td><td>89</td><td>59</td><td>64.4%</td></tr><tr><td>Eigenvector Centrality(EC)</td><td>11</td><td>89</td><td>59</td><td>64.4%</td></tr><tr><td>Information Centrality(IC)</td><td>17</td><td>83</td><td>47</td><td>55.3%</td></tr><tr><td>Bottle Neck (BN)</td><td>16</td><td>84</td><td>53</td><td>45.3%</td></tr><tr><td>Density of Maximum Neighborhood Component (DMNC)</td><td>12</td><td>88</td><td>42</td><td>42.9%</td></tr><tr><td>Local Average Connectivity-based method (LAC)</td><td>34</td><td>66</td><td>37</td><td>59.5%</td></tr><tr><td>Sum of ECC (SoECC)</td><td>37</td><td>63</td><td>31</td><td>54.8%</td></tr><tr><td>Range-Limited Centrality (RL)</td><td>17</td><td>83</td><td>42</td><td>54.8%</td></tr><tr><td>L-index (LI)</td><td>13</td><td>87</td><td>55</td><td>58.2%</td></tr><tr><td>Leader Rank(LR)</td><td>16</td><td>84</td><td>46</td><td>52.2%</td></tr><tr><td>Normalized <i>&#945;</i>-Centrality (NC)</td><td>11</td><td>89</td><td>59</td><td>64.4%</td></tr><tr><td>Moduland-Centrality(MC)</td><td>11</td><td>89</td><td>57</td><td>66.7%</td></tr></table>
918a74b09c7c40d48d10233bf10ed6b6592c6bfc8e776ab0651a4995aa527624.png
simple
<table><tr><td>Target of deletion</td><td>Animal model</td><td>Results of immunization</td><td>Reference</td></tr><tr><td>Biopterin transporter, LdBT1<sup>&#8722;/&#8722;</sup></td><td>Balb/C</td><td>Protective immunity, antigen-specific IFN-&#947; secretion</td><td>Papadopoulou et al. (53)</td></tr><tr><td>Centrin 1, LdCen<sup>&#8722;/&#8722;</sup></td><td>Balb/C mice, hamsters, dogs</td><td>Protective immunity against <i>L. donovani</i> and <i>L. braziliensis</i> challenge. Increased IFN&#947;, IL-2, and TNF producing cells and IFN&#947;/IL-10 ratio, presence of multifunctional cells</td><td>Selvapandiyan et al. (48), Fiuza et al. (58)</td></tr><tr><td>Silent information regulatory two single allele deletion, LiSIR2&#177;</td><td>Balb/C</td><td>Protective immunity, increased antigen-specific IFN&#947;/IL-10 ratio</td><td>Silvestre et al. (55)</td></tr><tr><td>Cytochrome <i>c</i> oxidase complex component p27, Ldp27<sup>&#8722;/&#8722;</sup></td><td>Balb/C</td><td>12-Week survival in host, protective immunity against <i>L. donovani</i>, <i>L. braziliensis</i>, and <i>L. major</i> challenge. Increased IFN&#947;, IL-2, and TNF producing cells and IFN&#947;/IL-10 ratio</td><td>Dey et al. (49)</td></tr><tr><td>Heat shock protein 70, LiHsp70<sup>&#8722;/&#8722;</sup></td><td>Balb/C</td><td>Cross protection against <i>L. major</i>, high IgG2a relative to IgG1</td><td>Carrion et al. (56)</td></tr></table>
4b8276331c0cd3b530f1e652e34c1865a5ec5cf57a1df3d76b4f53b58780a537.png
complex
<table><tr><td rowspan="2">Metric variables</td><td rowspan="2">Virginity status</td><td colspan="2">Gender</td></tr><tr><td>Females<sup>a</sup></td><td>Males<sup>b</sup></td></tr><tr><td><i>Age at death (wk)</i></td><td><i>Virgin</i></td><td>99.2 &#177; 2.4<sup>c</sup> (7, 141)<sup>d</sup></td><td>85.2 &#177; 3.4<sup>e</sup> (1, 133)</td></tr><tr><td><i>Age at death (wk)</i></td><td><i>Mated</i></td><td>88.3 &#177; 5.2 (35, 138)</td><td>104.0 &#177; 3.8 (61, 149)</td></tr><tr><td><i>Total number of litters produced by a dam/stud</i></td><td></td><td>8.9 &#177; 0.7 (2, 16)</td><td>10.5 &#177; 1.1 (1, 19)</td></tr><tr><td><i>Total number of pups at birth produced by a dam/stud</i></td><td></td><td>56.8 &#177; 5.2 (4, 92)</td><td>97.2 &#177; 10.7<sup>f</sup> (1, 169)</td></tr><tr><td><i>Total number of pups at weaning produced by a dam/stud</i></td><td></td><td>52.4 &#177; 5.0 (3, 88)</td><td>92.2 &#177; 10.1<sup>f</sup> (1, 162)</td></tr><tr><td><i>Age at last litter (wk)</i></td><td></td><td>51.9 &#177; 2.8 (31, 80)</td><td>92.2 &#177; 4.3<sup>g</sup> (54, 130)</td></tr><tr><td><i>Time interval between mating &amp; last litter (wk)</i></td><td></td><td>34.1 &#177; 2.8 (6, 55)</td><td>40.2 &#177; 4.3 (2, 78)</td></tr><tr><td><i>Time interval between litters (wk)</i></td><td></td><td>3.8 &#177; 0.1 (3, 5.4)</td><td>3.7 &#177; 0.2 (2, 5.6)</td></tr><tr><td><i>Time interval between last litter &amp; death (wk)</i></td><td></td><td>29.2 &#177; 4.7 (0, 88)</td><td>11.8 &#177; 4.2<sup>h</sup> (0, 94)</td></tr></table>
bcc71ea287a579cdc967f35daf5e5baa47be1255f00008a4cb3320af8c0c3794.png
complex
<table><tr><td rowspan="2"></td><td colspan="2">Survival to hospital discharge</td><td colspan="2">Good neurological recovery</td></tr><tr><td>OR (95% CI)</td><td><i>p</i> Value</td><td>OR (95% CI)</td><td><i>p</i> Value</td></tr><tr><td>Male sex</td><td>1.536 (1.121&#8211;2.104)</td><td>0.008</td><td></td><td></td></tr><tr><td>Age, years</td><td>0.990 (0.982&#8211;0.999)</td><td>0.032</td><td>0.961 (0.946&#8211;0.977)</td><td>&lt; 0.001</td></tr><tr><td>Call-to-hospital arrival time</td><td>0.979 (0.965&#8211;0.993)</td><td>0.003</td><td>0.950 (0.921&#8211;0.980)</td><td>0.001</td></tr><tr><td>ACLS time</td><td>0.952 (0.938&#8211;0.966)</td><td>&lt; 0.001</td><td>0.956 (0.929&#8211;0.982)</td><td>0.001</td></tr><tr><td>Witnessed arrest</td><td></td><td></td><td>2.814 (1.406&#8211;5.632)</td><td>0.003</td></tr><tr><td>Shockable rhythm in ED</td><td>1.829 (1.194&#8211;2.802)</td><td>0.006</td><td>8.111 (4.632&#8211;14.203)</td><td>&lt; 0.001</td></tr><tr><td>TTM</td><td>5.860 (4.332&#8211;7.928)</td><td>&lt; 0.0001</td><td>7.546 (4.406&#8211;12.924)</td><td>&lt; 0.001</td></tr><tr><td>E-PCI</td><td></td><td></td><td>4.442 (1.940&#8211;10.170)</td><td>&lt; 0.001</td></tr><tr><td>E-CAG</td><td>2.316 (1.345&#8211;3.988)</td><td>0.002</td><td></td><td></td></tr><tr><td>pH</td><td>6.287 (2.601&#8211;15.197)</td><td>&lt; 0.001</td><td>15.395 (3.439&#8211;68.911)</td><td>&lt; 0.001</td></tr><tr><td>Potassium</td><td>0.888 (0.821&#8211;0.962)</td><td>0.003</td><td></td><td></td></tr></table>
d6e029ace420e2632c3a36d1edfd3d6b7bd07407a697a77fb3f31fd0ddfa25bc.png
complex
<table><tr><td></td><td colspan="5">Wealth quintiles</td><td></td></tr><tr><td>State</td><td>Lowest</td><td>Lower</td><td>Middle</td><td>Higher</td><td>Highest</td><td>N</td></tr><tr><td>Yobe</td><td>65.9</td><td>24.9</td><td>3.9</td><td>3.2</td><td>2.2</td><td>539</td></tr><tr><td>Zamfara</td><td>56.3</td><td>31.0</td><td>7.4</td><td>3.3</td><td>1.9</td><td>931</td></tr><tr><td>Sokoto</td><td>49.9</td><td>20.8</td><td>12.7</td><td>9.4</td><td>7.1</td><td>897</td></tr><tr><td>Borno</td><td>49.3</td><td>34.2</td><td>11.2</td><td>4.2</td><td>1.2</td><td>816</td></tr><tr><td>Kebbi</td><td>48.8</td><td>26.5</td><td>11.0</td><td>6.8</td><td>6.8</td><td>952</td></tr><tr><td>Jigawa</td><td>46.8</td><td>31.2</td><td>12.6</td><td>6.4</td><td>3.0</td><td>897</td></tr><tr><td>Taraba</td><td>45.9</td><td>28.6</td><td>12.0</td><td>6.2</td><td>7.3</td><td>936</td></tr><tr><td>Katsina</td><td>40.8</td><td>30.8</td><td>16.3</td><td>7.0</td><td>5.2</td><td>892</td></tr><tr><td>Gombe</td><td>36.7</td><td>27.9</td><td>15.6</td><td>11.2</td><td>8.6</td><td>795</td></tr><tr><td>Bauchi</td><td>34.6</td><td>26.9</td><td>18.9</td><td>11.9</td><td>7.6</td><td>866</td></tr><tr><td>Kano</td><td>31.3</td><td>23.2</td><td>18.3</td><td>12.5</td><td>14.7</td><td>672</td></tr><tr><td>Ebonyi</td><td>28.2</td><td>34.7</td><td>24.1</td><td>8.1</td><td>5.0</td><td>877</td></tr><tr><td>Benue</td><td>27.1</td><td>23.8</td><td>19.0</td><td>16.9</td><td>13.3</td><td>728</td></tr><tr><td>Adamawa</td><td>23.7</td><td>32.2</td><td>18.2</td><td>13.2</td><td>12.8</td><td>721</td></tr><tr><td>Nasarawa</td><td>23.4</td><td>37.0</td><td>25.8</td><td>8.2</td><td>5.6</td><td>765</td></tr><tr><td>Plateau</td><td>22.9</td><td>33.0</td><td>19.1</td><td>8.6</td><td>16.4</td><td>864</td></tr><tr><td>Niger</td><td>21.3</td><td>27.7</td><td>21.4</td><td>15.4</td><td>14.2</td><td>855</td></tr><tr><td>Kwara</td><td>12.3</td><td>10.2</td><td>18.8</td><td>31.1</td><td>27.5</td><td>861</td></tr><tr><td>Oyo</td><td>11.1</td><td>19.7</td><td>18.8</td><td>25.1</td><td>25.2</td><td>903</td></tr><tr><td>Kaduna</td><td>10.4</td><td>29.0</td><td>24.7</td><td>17.7</td><td>18.1</td><td>938</td></tr><tr><td>Bayelsa</td><td>8.4</td><td>19.5</td><td>26.2</td><td>25.1</td><td>20.8</td><td>821</td></tr><tr><td>Cross River</td><td>7.8</td><td>19.2</td><td>29.7</td><td>22.2</td><td>21.1</td><td>871</td></tr><tr><td>AkwaIbom</td><td>6.0</td><td>16.0</td><td>30.8</td><td>26.7</td><td>20.6</td><td>938</td></tr><tr><td>Rivers</td><td>5.9</td><td>8.7</td><td>19.7</td><td>29.0</td><td>36.7</td><td>645</td></tr><tr><td>Ondo</td><td>5.8</td><td>16.8</td><td>22.6</td><td>27.9</td><td>26.8</td><td>619</td></tr><tr><td>Kogi</td><td>4.2</td><td>15.0</td><td>30.3</td><td>27.2</td><td>23.3</td><td>838</td></tr><tr><td>Delta</td><td>4.0</td><td>7.4</td><td>24.2</td><td>28.0</td><td>36.3</td><td>900</td></tr><tr><td>Ogun</td><td>3.8</td><td>14.6</td><td>21.4</td><td>32.8</td><td>27.5</td><td>899</td></tr><tr><td>Ekiti</td><td>3.5</td><td>17.6</td><td>25.4</td><td>29.1</td><td>24.3</td><td>879</td></tr><tr><td>Enugu</td><td>3.3</td><td>16.4</td><td>29.9</td><td>22.7</td><td>27.7</td><td>669</td></tr><tr><td>Osun</td><td>2.4</td><td>4.3</td><td>21.2</td><td>42.1</td><td>30.0</td><td>921</td></tr><tr><td>Anambra</td><td>1.6</td><td>7.1</td><td>23.5</td><td>33.1</td><td>34.6</td><td>910</td></tr><tr><td>Edo</td><td>1.3</td><td>7.7</td><td>23.0</td><td>34.6</td><td>33.5</td><td>819</td></tr><tr><td>Abia</td><td>.8</td><td>6.9</td><td>26.7</td><td>31.6</td><td>34.2</td><td>919</td></tr><tr><td>FCT</td><td>.7</td><td>4.8</td><td>14.1</td><td>25.3</td><td>55.1</td><td>724</td></tr><tr><td>Imo</td><td>.4</td><td>3.5</td><td>27.6</td><td>40.5</td><td>28.0</td><td>926</td></tr><tr><td>Lagos</td><td>.0</td><td>1.6</td><td>10.0</td><td>30.3</td><td>58.1</td><td>852</td></tr></table>
f552ef3ec3cc627948433b2196e8e9276243f011a9300294f7ef398133107d4e.png
simple
<table><tr><td>Declaration of minimodel</td><td>Explanation</td></tr><tr><td>&lt;SimulaDerivative name=&#8220;rootGrowthRate&#8221; function=&#8220;usePath&#8221; unit=&#8220;cm/day&#8221;&gt;</td><td>Declaration of a minimodel named rootGrowthRate which uses the plugin &#8220;usePath&#8221; to simulate a growth rate with the unit cm d<sup>&#8722;1</sup></td></tr><tr><td>&lt;SimulaConstant name=&#8220;path&#8221; type=&#8220;string&#8221;&gt; rootGrowth &lt;/SimulaConstant&gt;</td><td>Declaration of a minimodel named &#8220;path&#8221; which contains a string of the path to which &#8220;rootGrowthRate&#8221; needs to be coupled</td></tr><tr><td>&lt;SimulaConstant name=&#8220;multiplier&#8221;&gt; 0.1 &lt; /SimulaConstant&gt;</td><td>Declaration of a minimodel named &#8220;multiplier&#8221; which is a simple constant with which the result of minimodel named by &#8220;path&#8221; should be multiplied</td></tr><tr><td>&lt;/SimulaDerivative&gt;</td><td>Closing of the declaration of minimodel &#8220;rootGrowthRate&#8221;, so it is clear that &#8220;path&#8221; and &#8220;multiplier&#8221; are owned by it</td></tr><tr><td>&lt;SimulaVariable name=&#8220;rootGrowth&#8221; function=&#8220;useName+Rate&#8221; integrationFunction=&#8220;RungeKutta4&#8221; unit=&#8220;cm&#8221; &gt; 1. &lt;/SimulaVariable&gt;</td><td>Declaration of a minimodel named rootGrowth, which will use function &#8220;useName+Rate&#8221; to retrieve data and will integrate that data with the default integration function, RungeKutta4. Start value is 1</td></tr></table>
e430b38856c48bc250b2f9bb47195a6495729fee0360a684d2d2b7e92545c951.png
simple
<table><tr><td>Variables</td><td>Univariate analysis</td><td>Multivariate analysis</td></tr><tr><td> </td><td><i>p</i>value</td><td><i>p</i>value [OR]</td></tr><tr><td>Chemotherapy</td><td>0.443</td><td>0.752</td></tr><tr><td>Hypertension</td><td>0.805</td><td>0.782</td></tr><tr><td>Age</td><td>0.200</td><td>0.373</td></tr><tr><td>Breast volume</td><td>0.696</td><td>= 0.01504 [OR 1.00612 (0.99659 &#8211; 1.01588)]</td></tr><tr><td>Diabetes</td><td>0.149</td><td>0.568</td></tr><tr><td>Surgical deficits</td><td>0.107</td><td>= 0.00383 [OR 3.4577 (1.4914 &#8211; 8.0161)]</td></tr><tr><td>Boost administration</td><td>= 0.0001156</td><td>= 0.00543 [OR 0.9909 (0.98363 &#8211; 0.9982)]</td></tr><tr><td>V &gt; 100%</td><td>-</td><td>0.608</td></tr><tr><td>V &gt; 104%</td><td>-</td><td>0.323</td></tr><tr><td>V &gt; 107%</td><td>-</td><td>0.279</td></tr><tr><td>Boost V &gt; 100%</td><td>-</td><td>0.997</td></tr><tr><td>Boost V &gt; 104%</td><td>-</td><td>0.997</td></tr><tr><td>Boost V &gt; 107%</td><td>-</td><td>0.546</td></tr></table>
3f47eed305de66ead470b9d29ee46f9eaa01dc179a6aa8b97b0322cd201e097e.png
complex
<table><tr><td> Variable</td><td>TST + <i>N</i> (%)</td><td>TST &#8722; <i>N</i> (%)</td><td><i>P</i></td></tr><tr><td>Gender</td><td></td><td></td><td></td></tr><tr><td> Male</td><td>102 (50)</td><td>102 (50)</td><td rowspan="2"> 0.006</td></tr><tr><td> Female</td><td>16 (29.1)</td><td>39 (70.9)</td></tr><tr><td>Age (years)</td><td></td><td></td><td></td></tr><tr><td> &lt;60</td><td>99 (43.8)</td><td>127 (56.2)</td><td rowspan="2"> 0.135</td></tr><tr><td> &#8805;60</td><td>18 (58.1)</td><td>13 (41.9)</td></tr><tr><td>Marital status</td><td></td><td></td><td></td></tr><tr><td> Single</td><td>49 (40.2%)</td><td>73 (59.8%)</td><td></td></tr><tr><td> Married</td><td>38 (55.9%)</td><td>30 (44.1%)</td><td>0.158</td></tr><tr><td> Divorced or separated</td><td>22 (43.1%)</td><td>29 (56.9%)</td><td></td></tr><tr><td> Widowers</td><td>9 (56.2%)</td><td>7 (43.8%)</td><td></td></tr><tr><td>Immigrant</td><td></td><td></td><td></td></tr><tr><td> Yes</td><td>85 (49.7%)</td><td>86 (50.3%)</td><td rowspan="2"> 0.062</td></tr><tr><td> No</td><td>33 (37.5%)</td><td>55 (62.5%)</td></tr><tr><td>Italian National Health Service</td><td></td><td></td><td></td></tr><tr><td> No</td><td>59 (46.5%)</td><td>68 (53.5%)</td><td></td></tr><tr><td> Yes</td><td>47 (43.5%)</td><td>61 (56.5%)</td><td>0.831</td></tr><tr><td> Unknown</td><td>1 (33.3%)</td><td>2 (66.7%)</td><td></td></tr><tr><td>Temporary Present Foreigners</td><td></td><td></td><td></td></tr><tr><td> No</td><td>31 (49.2)</td><td>32 (50.8)</td><td></td></tr><tr><td> Yes</td><td>7 (41.2)</td><td>10 (58.8)</td><td>0.473</td></tr><tr><td> Not Known</td><td>3 (75)</td><td>1 (25)</td><td></td></tr><tr><td>Educational level</td><td></td><td></td><td></td></tr><tr><td> No instruction title</td><td>5 (38.5)</td><td>8 (61.5)</td><td></td></tr><tr><td> Primary school</td><td>54 (43.5)</td><td>70 (56.5)</td><td>0.585</td></tr><tr><td> Secondary school</td><td>51 (50)</td><td>51 (50)</td><td></td></tr><tr><td> Degree</td><td>5 (33.3)</td><td>7 (66.7)</td><td></td></tr><tr><td>Employment</td><td></td><td></td><td></td></tr><tr><td> No</td><td>86 (44.6)</td><td>107 (55.4)</td><td rowspan="2"> 0.661</td></tr><tr><td> Yes</td><td>31 (47.7)</td><td>34 (52.3)</td></tr><tr><td>Previous TBC diagnosis</td><td></td><td></td><td></td></tr><tr><td> No</td><td>114 (46.2)</td><td>133 (53.8)</td><td rowspan="2"> 0.115</td></tr><tr><td> Yes</td><td>3 (75)</td><td>1 (25)</td></tr><tr><td>Smoking habit</td><td></td><td></td><td></td></tr><tr><td> No smoker</td><td>42 (42.4)</td><td>57 (57.6)</td><td></td></tr><tr><td> Smoker</td><td>72 (49)</td><td>75 (51)</td><td>0.328</td></tr><tr><td> Former smoker</td><td>4 (30.8)</td><td>9 (69.2)</td><td></td></tr><tr><td>Alcohol abuse</td><td></td><td></td><td></td></tr><tr><td> No</td><td>98 (44.3)</td><td>123 (55.7)</td><td></td></tr><tr><td> Yes</td><td>11 (52.4)</td><td>10 (47.6)</td><td>0.743</td></tr><tr><td> Exalcohol abuser</td><td>5 (50)</td><td>5 (50)</td><td></td></tr><tr><td>Illicit drug use</td><td></td><td></td><td></td></tr><tr><td> No</td><td>105 (45.5)</td><td>126 (54.5)</td><td></td></tr><tr><td> Yes</td><td>1 (33.3)</td><td>2 (66.7)</td><td>0.833</td></tr><tr><td> Former drug user</td><td>3 (37.5)</td><td>5 (62.5)</td><td></td></tr><tr><td>Obesity</td><td></td><td></td><td></td></tr><tr><td> No</td><td>87 (42.9)</td><td>116 (57.1)</td><td rowspan="2"> 0.096</td></tr><tr><td> Yes</td><td>30 (55.6)</td><td>24 (44.4)</td></tr></table>
b55240e5bc687a8c2e7c2c3c13537871e1bb0b49c2a117065c7e035c3509cfa4.png
complex
<table><tr><td>Variable</td><td>Intervention</td><td>Sham</td><td><i>p</i><sup>*</sup></td></tr><tr><td>N</td><td>24</td><td>10</td><td>&#8211;</td></tr><tr><td>Age [years]</td><td>57 (12)</td><td>65 (12)</td><td>0.079</td></tr><tr><td>Gender M/F (%)</td><td>67/33%</td><td>70/30%</td><td>0.999</td></tr><tr><td>Education [years]</td><td>10 (4)</td><td>10 (4)</td><td>0.869</td></tr><tr><td>Affected hemisphere R/L (%)</td><td>50/50%</td><td>40/60%</td><td>0.715</td></tr><tr><td>Etiopathogenesis (%)</td><td></td><td></td><td>0.999</td></tr><tr><td>Ischemic</td><td>71%</td><td>70%</td><td></td></tr><tr><td>Hemorrhagic</td><td>29%</td><td>30%</td><td></td></tr><tr><td>Previous stroke events (%)</td><td>21%</td><td>30%</td><td>0.666</td></tr><tr><td>Lesion localization (%)</td><td></td><td></td><td>0.735</td></tr><tr><td>Cortical</td><td>25%</td><td>10%</td><td></td></tr><tr><td>Subcortical</td><td>62%</td><td>80%</td><td></td></tr><tr><td>Both</td><td>13%</td><td>10%</td><td></td></tr><tr><td>Time from stroke [mos]</td><td>41 (39)</td><td>37 (32)</td><td>0.797</td></tr><tr><td>Smoke (%)</td><td>25%</td><td>10%</td><td>0.644</td></tr><tr><td>Hypertension (%)</td><td>72%</td><td>70%</td><td>0.999</td></tr><tr><td>Diabetes (%)</td><td>8%</td><td>30%</td><td>0.138</td></tr><tr><td>Dyslipidemia (%)</td><td>38%</td><td>40%</td><td>0.999</td></tr><tr><td>Stroke familiar history (%)</td><td>21%</td><td>30%</td><td>0.666</td></tr><tr><td colspan="4">THERAPY</td></tr><tr><td>Antidepressant</td><td>71%</td><td>40%</td><td>0.130</td></tr><tr><td>Antihypertensive</td><td>58%</td><td>60%</td><td>0.999</td></tr><tr><td>Antiplatelet</td><td>79%</td><td>70%</td><td>0.666</td></tr><tr><td colspan="4">NIBS SEQUENCE</td></tr><tr><td>TMS-tDCS</td><td>8</td><td>&#8211;</td><td>&#8211;</td></tr><tr><td>tDCS-TMS</td><td>16</td><td></td><td></td></tr><tr><td colspan="4">SIDE EFFECTS IN 10 SESSIONS<sup>**</sup></td></tr><tr><td>TMS</td><td>4</td><td></td><td>&#8211;</td></tr><tr><td>tDCS</td><td>6</td><td>3</td><td></td></tr><tr><td>Drop outs (%)</td><td>24%</td><td>0%</td><td>&#8211;</td></tr></table>
bd9d058772ee0f2072bff5d564f74e3cef6ef39706ea2a131df34b52c0dd00fa.png
complex
<table><tr><td rowspan="2"></td><td colspan="3">Total cohort</td><td colspan="3">Matched cohort</td></tr><tr><td>LAP (<i>n</i> = 85)</td><td>OP (<i>n</i> = 195)</td><td><i>P</i></td><td>LAP (<i>n</i> = 71)</td><td>OP (<i>n</i> = 71)</td><td><i>P</i></td></tr><tr><td colspan="7">Age (years)</td></tr><tr><td>Median (IQR)</td><td>82.0 (80&#8211;84)</td><td>82.0 (81&#8211;85)</td><td>0.055</td><td>82.0 (81&#8211;84)</td><td>82.0 (81&#8211;84)</td><td>0.711</td></tr><tr><td>Sex</td><td></td><td></td><td>0.552</td><td></td><td></td><td>1.000</td></tr><tr><td>Male</td><td>46 (54.1)</td><td>98 (50.3)</td><td></td><td>40 (56.3)</td><td>40 (56.3)</td><td></td></tr><tr><td>Female</td><td>39 (45.9)</td><td>97 (49.7)</td><td></td><td>31 (43.7)</td><td>31 (43.7)</td><td></td></tr><tr><td colspan="7">BMI (kg/m<sup>2</sup>)</td></tr><tr><td>Median (IQR)</td><td>22.2 (20.6&#8211;24.1)</td><td>21.6 (19.5&#8211;23.6)</td><td>0.093</td><td>21.9 (20.4&#8211;24.2)</td><td>22.0 (20.6&#8211;24.5)</td><td>0.901</td></tr><tr><td>ASA score</td><td></td><td></td><td>0.882</td><td></td><td></td><td>0.396</td></tr><tr><td>1</td><td>13 (15.3)</td><td>35 (17.9)</td><td></td><td>12 (16.9)</td><td>16 (22.5)</td><td></td></tr><tr><td>2</td><td>56 (65.9)</td><td>120 (61.5)</td><td></td><td>45 (63.4)</td><td>37 (52.1)</td><td></td></tr><tr><td>3</td><td>16 (18.8)</td><td>38 (19.5)</td><td></td><td>14 (19.7)</td><td>18 (25.4)</td><td></td></tr><tr><td>4</td><td>0 (0.0)</td><td>2 (1.0)</td><td></td><td></td><td></td><td></td></tr><tr><td>Comorbidity</td><td>55 (64.7)</td><td>108 (55.4)</td><td>0.146</td><td>44 (62.0)</td><td>40 (56.3)</td><td>0.495</td></tr><tr><td>Hypertension</td><td>49 (57.6)</td><td>90 (46.2)</td><td></td><td>40 (56.3)</td><td>34 (47.9)</td><td></td></tr><tr><td>Diabetes mellitus</td><td>10 (11.8)</td><td>26 (13.3)</td><td></td><td>10 (14.1)</td><td>10 (14.1)</td><td></td></tr><tr><td>Cardiovascular disease</td><td>8 (9.4)</td><td>10 (5.1)</td><td></td><td>4 (5.6)</td><td>3 (4.2)</td><td></td></tr><tr><td>Cerebrovascular disease</td><td>4 (4.7)</td><td>7 (3.6)</td><td></td><td>2 (2.8)</td><td>5 (7.0)</td><td></td></tr><tr><td>Pulmonary disease</td><td>3 (3.5)</td><td>4 (2.1)</td><td></td><td>2 (2.8)</td><td>0 (0.0)</td><td></td></tr><tr><td>TNM Stage</td><td></td><td></td><td>0.002</td><td></td><td></td><td>0.978</td></tr><tr><td>I</td><td>26 (30.6)</td><td>25 (12.8)</td><td></td><td>19 (26.8)</td><td>18 (25.4)</td><td></td></tr><tr><td>II</td><td>28 (32.9)</td><td>77 (39.5)</td><td></td><td>24 (33.8)</td><td>24 (33.8)</td><td></td></tr><tr><td>III</td><td>31 (36.5)</td><td>93 (47.7)</td><td></td><td>28 (39.4)</td><td>29 (40.8)</td><td></td></tr><tr><td>Tumor location</td><td></td><td></td><td>0.007</td><td></td><td></td><td>0.913</td></tr><tr><td>Right colon</td><td>19 (22.4)</td><td>61 (31.3)</td><td></td><td>17 (23.9)</td><td>15 (21.1)</td><td></td></tr><tr><td>Left colon</td><td>44 (51.8)</td><td>62 (31.8)</td><td></td><td>34 (47.9)</td><td>36 (50.7)</td><td></td></tr><tr><td>Rectum</td><td>22 (25.9)</td><td>72 (36.9)</td><td></td><td>20 (28.2)</td><td>20 (28.2)</td><td></td></tr><tr><td>Preoperative CEA (ng/mL)</td><td></td><td></td><td>0.179</td><td></td><td></td><td>0.579</td></tr><tr><td>&#8804;5</td><td>59 (75.6)</td><td>117 (67.2)</td><td></td><td>52 (73.2)</td><td>49 (69.0)</td><td></td></tr><tr><td>&gt;5</td><td>19 (24.4)</td><td>57 (32.8)</td><td></td><td>19 (26.8)</td><td>22 (31.0)</td><td></td></tr></table>
9ea9d3fb2e59a664352d11e7fec796e8b0bd1d07935b683895a250e74928232b.png
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<table><tr><td>Interaction</td><td>Notes</td><td>Reference</td></tr><tr><td>IL-1&#945; and IL-1&#946; induce autophagy</td><td>Induction of autophagy by IL-1 family cytokines suggests a potential negative feedback loop for the control of inflammation by autophagy, as well as a possible anti-microbial response mediated by inflammatory cytokines</td><td>Shi and Kehrl (2010)</td></tr><tr><td>Inhibition of autophagy increases IL-1&#945;, IL-1&#946;, and IL-18 secretion</td><td>Inhibition of (or deficiency in) autophagy leads to increased secretion of IL-1 family cytokines in response to TLR ligands and <i>Mycobacterium tuberculosis</i>. This is dependent on TRIF (in mice), reactive oxygen species, and mitochondrial DNA. These results suggest that autophagy normally regulates endogenous factors that would otherwise induce inflammasome assembly, caspase-1 activation, and subsequent processing and secretion of IL-1&#946; and IL-18. In humans, regulation of IL-1&#946; by autophagy occurs at the transcriptional level</td><td>Saitoh et al. (2008), Crisan et al. (2011), Harris et al. (2011), Kleinnijenhuis et al. (2011), Nakahira et al. (2011), Zhou et al. (2011a)</td></tr><tr><td>Induction of autophagy reduces IL-1&#946; secretion <i>in vitro</i> and <i>in vivo</i></td><td>Induction of autophagy with drugs (e.g., rapamycin) or starvation reduces secretion of IL-1&#946; by macrophages and dendritic cells in response to LPS with alum or ATP or in response to <i>Mycobacterium tuberculosis</i>. Induction of autophagy also decreases intracellular levels of pro-IL-1&#946;. In a mouse model of LPS-induced sepsis, rapamycin decreases serum levels of IL-1&#946;.</td><td>Crisan et al. (2011), Harris et al. (2011), Shi et al. (2012)</td></tr><tr><td>Autophagosomes sequester and degrade IL-1&#946; and inflammasome components</td><td>In macrophages stimulated with TLR ligands, autophagosomes sequester IL-1&#946;. The inflammasome component ASC is ubiquitinated in response to inflammasome activation and delivered to autophagosomes. NLRP3 and AIM2 are also sequestered by autophagosomes</td><td>Harris et al. (2011), Shi et al. (2012)</td></tr><tr><td>Activation of the NLRP3 and AIM2 inflammasomes induces autophagosome formation</td><td>Induction of the AIM2 inflammasome by transfection of macrophages with poly(dA:dT) or the NLRP3 inflammasome with uric acid crystals or nigericin leads to an increase in autophagosome formation</td><td>Shi et al. (2012)</td></tr><tr><td>Autophagy can act as secretory pathway for the release of IL-1&#946;</td><td>Induction of inflammasome activation in parallel with autophagy induction can lead to an increase in IL-1&#946; secretion. This novel secretory pathway is dependent on inflammasome assembly, Atg5, Rab8a, and GRASP55 (GORASP2; a mammalian Golgi reassembly stacking protein paralog)</td><td>Dupont et al. (2011)</td></tr></table>
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<table><tr><td>First Author Year (Ref)</td><td>Study Years</td><td>AA, <i>n </i></td><td>Caucasian, <i>n </i></td><td>Age, yrs</td><td>Population</td><td>Study design</td><td>Enrollment states</td></tr><tr><td>Marcus et al. 2010 [7]</td><td>1989-1999</td><td>804</td><td>4,543</td><td>&gt;65</td><td>Older population</td><td>Cohort</td><td>15 U.S. states**, Washington D.C.</td></tr><tr><td>Go et al. 2001 [16]</td><td>1996-1997</td><td>39,579</td><td>519,714</td><td>&gt;50*</td><td>General population</td><td>Cross-sectional</td><td>California</td></tr><tr><td>Alonso et al. 2009 [17]</td><td>1987&#8211;2004</td><td>4,115</td><td>11,292</td><td>&gt;55*</td><td>General population</td><td>Cohort</td><td>Maryland,</td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>Minnesota,</td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>Mississippi,</td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>N. Carolina</td></tr><tr><td>Afzal et al. 1999 [18]</td><td>1996</td><td>113</td><td>50</td><td>&gt;35*</td><td>Heart failure</td><td>Cohort</td><td>Michigan</td></tr><tr><td>Ruo et al. 2004 [19]</td><td>1999-2000</td><td>223</td><td>1,150</td><td>&gt;35*</td><td>Heart failure</td><td>Cohort</td><td>California</td></tr><tr><td>Winkelmayer et al. 2011 [20]</td><td>1992&#8211;2006</td><td>90,217</td><td>121,698</td><td>&gt;30*</td><td>Hemodialysis</td><td>Cohort</td><td>United States</td></tr><tr><td>Upshaw Jr. 2002 [21]</td><td>1996&#8211;1998</td><td>922</td><td>1,201</td><td>&gt;20</td><td>Hospitalized patients</td><td>Cohort</td><td>Georgia</td></tr><tr><td>Shen et al. 2010 [22]</td><td>2008</td><td>40,293</td><td>191,860</td><td>&gt;60</td><td>Older population</td><td>Cross-sectional</td><td>California</td></tr><tr><td>Smith et al. 2006 [23]</td><td>1993&#8211;2005</td><td>644</td><td>1,932</td><td>&gt;25*</td><td>Post-CABG</td><td>Case control</td><td>Ohio</td></tr><tr><td>Lahiri et al. 2011 [24]</td><td>2004&#8211;2008</td><td>270</td><td>731</td><td>&gt;25*</td><td>Post-CABG</td><td>Cohort</td><td>Michigan</td></tr></table>
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<table><tr><td>Characteristic</td><td>%</td><td>Crude <sup>1</sup></td><td>OR (95% CI)</td><td>Adj.<sup>2</sup></td><td>OR (95% CI)</td><td>Adj.<sup>3</sup></td><td>OR (95% CI)</td></tr><tr><td></td><td></td><td></td><td></td><td colspan="2">Model 1</td><td colspan="2">Model 2</td></tr><tr><td>Age-Race/ethnicity</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Interaction<sup>4</sup></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> &lt;60, Non-Black</td><td></td><td>1.00</td><td>(referent)</td><td>1.00</td><td>(referent)</td><td></td><td></td></tr><tr><td> &lt;60, NH Black</td><td></td><td>2.98</td><td>(1.77 - 4.96)</td><td>2.62</td><td>(1.50 - 4.52)</td><td></td><td></td></tr><tr><td> 60-64, Non-Black</td><td></td><td>2.01</td><td>(1.42 - 2.88)</td><td>1.95</td><td>(1.36 - 2.83)</td><td></td><td></td></tr><tr><td> 60-64, NH Black</td><td></td><td>2.80</td><td>(1.52 - 5.03)</td><td>2.53</td><td>(1.32 - 4.72)</td><td></td><td></td></tr><tr><td> 65-74, Non-Black</td><td></td><td>7.20</td><td>(5.38 - 9.79)</td><td>7.55</td><td>(5.57 - 10.40)</td><td></td><td></td></tr><tr><td> 65-74, NH Black</td><td></td><td>5.14</td><td>(3.24 - 8.18)</td><td>5.19</td><td>(3.15 - 8.59)</td><td></td><td></td></tr><tr><td> &gt;= 75, Non-Black</td><td></td><td>68.08</td><td>(41.57 - 116.45)</td><td>69.73</td><td>(41.94 - 120.93)</td><td></td><td></td></tr><tr><td> &gt;= 75, NH Black</td><td></td><td>41.09</td><td>(13.58 - 178.13)</td><td>43.31</td><td>(13.28 - 196.39)</td><td></td><td></td></tr><tr><td>Age at diagnosis</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> &lt;60</td><td>17.20</td><td>1.00</td><td>(referent)</td><td></td><td></td><td>1.00</td><td>(referent)</td></tr><tr><td> 60-64</td><td>25.54</td><td>1.65</td><td>(1.22 - 2.25)</td><td></td><td></td><td>1.63</td><td>(1.18 - 2.26)</td></tr><tr><td> 65-69</td><td>39.76</td><td>3.18</td><td>(2.41 - 4.22)</td><td></td><td></td><td>3.37</td><td>(2.52 - 4.54)</td></tr><tr><td> 70-74</td><td>69.25</td><td>10.84</td><td>(8.08 - 14.66)</td><td></td><td></td><td>12.22</td><td>(8.94 - 16.86)</td></tr><tr><td> &gt;= 75</td><td>91.32</td><td>50.63</td><td>(32.27 - 82.56)</td><td></td><td></td><td>54.47</td><td>(34.11 - 90.27)</td></tr><tr><td>Marital status</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> Married</td><td>42.30</td><td>1.00</td><td>(referent)</td><td>1.00</td><td>(referent)</td><td>1.00</td><td>(referent)</td></tr><tr><td> Not Married</td><td>49.18</td><td>1.32</td><td>(1.05 - 1.65)</td><td>1.44</td><td>(1.10 - 1.88)</td><td>1.51</td><td>(1.15 - 1.98)</td></tr><tr><td> Unknown</td><td>60.58</td><td>2.10</td><td>(1.41 - 3.16)</td><td>2.20</td><td>(1.36 - 3.58)</td><td>2.22</td><td>(1.36 - 3.65)</td></tr><tr><td>Registry</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> California</td><td>36.60</td><td>1.00</td><td>(referent)</td><td>1.00</td><td>(referent)</td><td>1.00</td><td>(referent)</td></tr><tr><td> Colorado</td><td>39.30</td><td>1.12</td><td>(0.83 - 1.52)</td><td>1.57</td><td>(1.10 - 2.25)</td><td>1.60</td><td>(1.11 - 2.31)</td></tr><tr><td> Illinois</td><td>46.46</td><td>1.50</td><td>(1.11 - 2.04)</td><td>1.57</td><td>(1.09 - 2.27)</td><td>1.71</td><td>(1.17 - 2.49)</td></tr><tr><td> Louisiana</td><td>38.36</td><td>1.08</td><td>(0.80 - 1.46)</td><td>1.06</td><td>(0.73 - 1.53)</td><td>1.07</td><td>(0.74 - 1.56)</td></tr><tr><td> New York</td><td>53.80</td><td>2.02</td><td>(1.49 - 2.75)</td><td>2.40</td><td>(1.66 - 3.49)</td><td>2.78</td><td>(1.91 - 4.06)</td></tr><tr><td> Rhode Island</td><td>49.39</td><td>1.69</td><td>(1.24 - 2.30)</td><td>2.00</td><td>(1.39 - 2.90)</td><td>1.98</td><td>(1.36 - 2.89)</td></tr><tr><td> South Carolina</td><td>47.66</td><td>1.58</td><td>(1.14 - 2.19)</td><td>2.12</td><td>(1.43 - 3.14)</td><td>2.35</td><td>(1.58 - 3.51)</td></tr><tr><td>DRE results</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> Normal</td><td>40.28</td><td>1.00</td><td>(referent)</td><td>1.00</td><td>(referent)</td><td>1.00</td><td>(referent)</td></tr><tr><td> Abnormal</td><td>50.67</td><td>1.52</td><td>(1.26 - 1.84)</td><td>1.19</td><td>(0.95 - 1.50)</td><td>1.17</td><td>(0.93 - 1.48)</td></tr><tr><td> Equivocal/unknown</td><td>41.33</td><td>1.05</td><td>(0.85 - 1.29)</td><td>0.78</td><td>(0.60 - 1.02)</td><td>0.77</td><td>(0.59 - 1.00)</td></tr><tr><td>PSA value</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> 0-4</td><td>39.52</td><td>1.00</td><td>(referent)</td><td>1.00</td><td>(referent)</td><td>1.00</td><td>(referent)</td></tr><tr><td> &gt;4-10</td><td>41.56</td><td>1.09</td><td>(0.81 - 1.47)</td><td>1.01</td><td>(0.71 - 1.44)</td><td>1.06</td><td>(0.74 - 1.53)</td></tr><tr><td> &gt;10-20</td><td>53.88</td><td>1.79</td><td>(1.28 - 2.50)</td><td>1.57</td><td>(1.06 - 2.34)</td><td>1.64</td><td>(1.09 - 2.46)</td></tr><tr><td> 20+</td><td>61.00</td><td>2.40</td><td>(1.61 - 3.58)</td><td>2.14</td><td>(1.34 - 3.45)</td><td>2.17</td><td>(1.35 - 3.52)</td></tr><tr><td> Unknown</td><td>29.91</td><td>0.65</td><td>(0.44 - 0.97)</td><td>0.45</td><td>(0.27 - 0.73)</td><td>0.46</td><td>(0.28 - 0.75)</td></tr><tr><td>Gleason score</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> 2-4</td><td>43.01</td><td>1.00</td><td>(referent)</td><td>1.00</td><td>(referent)</td><td>1.00</td><td>(referent)</td></tr><tr><td> 5-7</td><td>40.92</td><td>0.92</td><td>(0.68 - 1.24)</td><td>0.76</td><td>(0.54 - 1.09)</td><td>0.76</td><td>(0.53 - 1.09)</td></tr><tr><td> 8-10</td><td>61.05</td><td>2.08</td><td>(1.39 - 3.13)</td><td>1.53</td><td>(0.94 - 2.48)</td><td>1.59</td><td>(0.97 - 2.62)</td></tr><tr><td> Unknown</td><td>72.48</td><td>3.49</td><td>(2.12 - 5.86)</td><td>5.59</td><td>(3.09 - 10.34)</td><td>5.64</td><td>(3.08 - 10.52)</td></tr></table>
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<table><tr><td>Indicators</td><td>Prevalence per 10,000 (n/N)*</td><td>95 % CI</td></tr><tr><td>Prevalence of congenital defects</td><td>52.0 (142/27201)</td><td>44.0&#8211;61.0</td></tr><tr><td>Prevalence of selected NTDs only</td><td>4.0 (11/27201)</td><td>2.0&#8211;7.0</td></tr><tr><td>Prevalence of other congenital defects except NTDs</td><td>48.0 (131/27201)</td><td>40.0&#8211;57.0</td></tr><tr><td>Prevalence of congenital defects in Mountain</td><td>16.0 (5/3079)</td><td>7.0&#8211;38.0</td></tr><tr><td>Prevalence of congenital defects in Hill</td><td>56.0 (85/15156)</td><td>45.0&#8211;69.0</td></tr><tr><td>Prevalence of congenital defects in Terai</td><td>58.0 (52/8966)</td><td>44.0&#8211;76.0</td></tr></table>
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<table><tr><td>Variable</td><td>Frequency</td><td>%</td></tr><tr><td><i>Age (mean = 36.8 &#177; 14.0 yrs)</i></td><td> </td><td> </td></tr><tr><td>&lt; 50 years</td><td>554</td><td>80</td></tr><tr><td>&#8805; 50 years</td><td>139</td><td>20</td></tr><tr><td><i>Gender</i></td><td> </td><td> </td></tr><tr><td>Male</td><td>374</td><td>54</td></tr><tr><td>Female</td><td>319</td><td>46</td></tr><tr><td><i>Religion</i></td><td> </td><td> </td></tr><tr><td>Christian</td><td>554</td><td>80</td></tr><tr><td>Moslem</td><td>111</td><td>16</td></tr><tr><td>Traditional religion</td><td>21</td><td>3</td></tr><tr><td>Other</td><td>7</td><td>1</td></tr><tr><td><i>Marital status</i></td><td> </td><td> </td></tr><tr><td>Married</td><td>267</td><td>38</td></tr><tr><td>Single</td><td>281</td><td>41</td></tr><tr><td>Widowed</td><td>68</td><td>10</td></tr><tr><td>Separated</td><td>50</td><td>7</td></tr><tr><td>Divorced</td><td>27</td><td>4</td></tr><tr><td><i>Highest education attained</i></td><td> </td><td> </td></tr><tr><td>Illiterate</td><td>97</td><td>14</td></tr><tr><td>Primary</td><td>104</td><td>15</td></tr><tr><td>Secondary</td><td>360</td><td>52</td></tr><tr><td>Tertiary</td><td>132</td><td>19</td></tr><tr><td><i>Monthly income (Cedis)</i></td><td> </td><td> </td></tr><tr><td>&lt; 100</td><td>180</td><td>26</td></tr><tr><td>100-999</td><td>270</td><td>39</td></tr><tr><td>1000-1999</td><td>21</td><td>3</td></tr><tr><td>2000-2999</td><td>14</td><td>2</td></tr><tr><td>&#8805; 3000</td><td>14</td><td>2</td></tr><tr><td>Unemployed</td><td>194</td><td>28</td></tr><tr><td><i>Stroke risk factors</i></td><td> </td><td> </td></tr><tr><td>Alcohol intake</td><td>118</td><td>17</td></tr><tr><td>Hypertension</td><td>76</td><td>11</td></tr><tr><td>Smoking</td><td>47</td><td>7</td></tr><tr><td>Previous stroke</td><td>43</td><td>6</td></tr><tr><td>High cholesterol</td><td>25</td><td>4</td></tr><tr><td>Heart disease</td><td>19</td><td>3</td></tr><tr><td>Diabetes</td><td>17</td><td>2</td></tr><tr><td>At least one stroke risk factor</td><td>274</td><td>40</td></tr></table>
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<table><tr><td>Method</td><td>Detection range</td><td>Reference</td></tr><tr><td>Colorimetric</td><td>0.05&#8211;50 ng/mL</td><td>Luan et al., 2015</td></tr><tr><td>Surface plasmon resonance</td><td>0&#8211;10 ng/mL</td><td>Zhu et al., 2015</td></tr><tr><td>Colorimetric</td><td>0.5&#8211;100 ng/mL</td><td>Wang et al., 2016a</td></tr><tr><td>Colorimetric</td><td>0.0316&#8211;316 ng/mL</td><td>Our work</td></tr></table>
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<table><tr><td>Variable</td><td>De Hoogte(<i>n</i> = 90)</td><td>Corpus-Noord(<i>n</i> = 133)</td><td><i>F</i></td><td><i>p</i></td><td><i>&#951;<sub>p</sub></i><sup>2</sup></td></tr><tr><td>Neighborhood Satisfaction (1&#8211;5)</td><td>3.39 (0.07)</td><td>3.88 (0.07)</td><td>26.12</td><td>&lt;0.001</td><td>0.11</td></tr><tr><td>Well-Being (Happiness; 0&#8211;10)</td><td>7.24 (0.14)</td><td>7.34 (0.11)</td><td>0.34</td><td>0.563</td><td>0.00</td></tr><tr><td>Green Space Quality (1&#8211;5; average score)</td><td>3.21 (0.07)</td><td>3.61 (0.06)</td><td>20.04</td><td>&lt;0.001</td><td>0.08</td></tr><tr><td><i>Green spaces in my neighborhood</i></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>1. contain enough recreational facilities (e.g., play equipment, hard court, grass pitches for football).</td><td>3.10 (0.11)</td><td>3.39 (0.09)</td><td>4.13</td><td>0.043</td><td>0.02</td></tr><tr><td>2. provide amenities for sitting, picnic table, litter bins, signs and lighting in the night.</td><td>2.74 (0.11)</td><td>3.37 (0.09)</td><td>18.16</td><td>&lt;0.001</td><td>0.08</td></tr><tr><td>3. have good natural features such as grass, trees and flower beds.</td><td>3.37 (0.09)</td><td>3.87 (0.07)</td><td>17.71</td><td>&lt;0.001</td><td>0.08</td></tr><tr><td>4. are absent of incivilities (e.g., general litter, graffiti, dog mess, evidence of alcohol, drug use, broken glass and noise).</td><td>2.95 (0.11)</td><td>3.40 (0.09)</td><td>10.15</td><td>0.002</td><td>0.04</td></tr><tr><td>5. are easily accessed, there are many access points and enough walking paths, and roads around are not busy.</td><td>3.64 (0.08)</td><td>3.91 (0.06)</td><td>7.36</td><td>0.007</td><td>0.03</td></tr><tr><td>6. are well maintained.</td><td>3.47 (0.11)</td><td>3.73 (0.09)</td><td>3.46</td><td>0.06</td><td>0.02</td></tr><tr><td>Beneficial Affordances of Green Space (1&#8211;5; average score)</td><td>4.00 (0.08)</td><td>3.98 (0.06)</td><td>0.05</td><td>0.824</td><td>0.00</td></tr><tr><td><i>Green spaces in my neighborhood</i></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>1. promote the quality of life.</td><td>4.12 (0.08)</td><td>4.16 (0.07)</td><td>0.08</td><td>0.779</td><td>0.00</td></tr><tr><td>2. promote health.</td><td>4.12 (0.08)</td><td>4.06 (0.07)</td><td>0.37</td><td>0.544</td><td>0.00</td></tr><tr><td>3. promote recreational use.</td><td>3.90 (0.10)</td><td>4.01 (0.08)</td><td>0.68</td><td>0.411</td><td>0.00</td></tr><tr><td>4. promote social interaction.</td><td>3.86 (0.10)</td><td>3.69 (0.08)</td><td>1.55</td><td>0.214</td><td>0.01</td></tr></table>
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<table><tr><td>TLD placement</td><td colspan="2">Cumulative mSv</td><td colspan="2">mSv per screw</td><td>% Reduction</td></tr><tr><td></td><td>Robot-Guided (154 screws)</td><td>Fluoro-Guided (140 screws)</td><td>Robot-guided</td><td>Fluoro-guided</td><td></td></tr><tr><td>Outside of thyroid protector</td><td>1.24</td><td>3.15</td><td>0.0082</td><td>0.0225</td><td>63.7%</td></tr><tr><td>Inside of thyroid protector</td><td>0.91</td><td>1.95</td><td>0.0060</td><td>0.0139</td><td>56.9%</td></tr><tr><td>Outside of trunk protector</td><td>1.37</td><td>3.35</td><td>0.0090</td><td>0.0239</td><td>62.3%</td></tr><tr><td>Inside of trunk protector</td><td>0.84</td><td>1.84</td><td>0.0055</td><td>0.0131</td><td>57.8%</td></tr><tr><td>Eye dosimeter</td><td>0.71</td><td>2.31</td><td>0.0047</td><td>0.0165</td><td>71.6%</td></tr></table>
8ec5924aaf80abe6ced557992dc8527e408e799ca50f044e3a7ea6a4e14524a2.png
complex
<table><tr><td colspan="2">Identification criteria</td></tr><tr><td>Cardiovascular dysfunction</td><td>&#8226; Shock</td></tr><tr><td></td><td>&#8226; Use of continuous vasoactive drugs</td></tr><tr><td></td><td>&#8226; Cardiac arrest</td></tr><tr><td></td><td>&#8226; Cardio-pulmonary resuscitation</td></tr><tr><td></td><td>&#8226; Severe hypoperfusion (lactate &gt; 5 mmol/L or &gt; 45 mg/dL)</td></tr><tr><td></td><td>&#8226; Severe acidosis (pH &lt; 7.1)</td></tr><tr><td>Respiratory dysfunction</td><td>&#8226; Acute cyanosis</td></tr><tr><td></td><td>&#8226; Gasping</td></tr><tr><td></td><td>&#8226; Severe tachypnea (respiratory rate &gt; 40 bpm)</td></tr><tr><td></td><td>&#8226; Severe bradypnea (respiratory rate &lt; 6 bpm)</td></tr><tr><td></td><td>&#8226; Severe hypoxemia (PAO2/FiO2 &lt; 200 or O2 saturation &lt; 90 % for &#8805;60 min)</td></tr><tr><td></td><td>&#8226; Intubation and ventilation not related to anesthesia</td></tr><tr><td>Renal dysfunction</td><td>&#8226; Oliguria non responsive to fluids/diuretics</td></tr><tr><td></td><td>&#8226; Dialysis for acute renal failure</td></tr><tr><td></td><td>&#8226; Severe acute azotemia (creatinine &#8805; 300 umol/ml or &#8805; 3.5 mg/dL)</td></tr><tr><td>Coagulation/hematologic dysfunction</td><td>&#8226; Failure to form clots</td></tr><tr><td></td><td>&#8226; Massive transfusion of blood or red cells (&#8805;5 units)</td></tr><tr><td></td><td>&#8226; Severe acute thrombocytopenia (&lt;50,000 platelets/ml)</td></tr><tr><td>Hepatic dysfunction</td><td>&#8226; Jaundice in the presence of pre-eclampsia</td></tr><tr><td></td><td>&#8226; Severe acute hyperbilirubinemia (bilirubin &gt; 100 umol/L or &gt; 6.0 mg/dL)</td></tr><tr><td>Neurologic dysfunction</td><td>&#8226; Prolonged unconsciousness (lasting &#8805; 12 hours)/coma (including metabolic coma)</td></tr><tr><td></td><td>&#8226; Stroke</td></tr><tr><td></td><td>&#8226; Status epilepticus/uncontrollable fits</td></tr><tr><td></td><td>&#8226; Total paralysis</td></tr><tr><td>Uterine dysfunction</td><td>&#8226; Hemorrhage or infection leading to hysterectomy</td></tr></table>
6f0ecaffba7b5bd2ec4e8b9419b2c06c628812633fa1c398a2ef4892d82aaab8.png
simple
<table><tr><td></td><td>Duration</td><td>ARBs</td><td>ACEi</td><td>CCBs</td><td>BBs</td><td>Diuretics</td></tr><tr><td>Bloom [15]</td><td>12</td><td>64%</td><td>58%***</td><td>50%</td><td>43%</td><td>38%</td></tr><tr><td>Conlin [18]</td><td>48</td><td>50.9%</td><td>46.5%</td><td>40.7%**</td><td>34.7%**</td><td>16.4%**</td></tr><tr><td>Hasford [36]</td><td>12</td><td>51.3%</td><td>42.0%</td><td>43.6%</td><td>49.7%</td><td>34.4%</td></tr><tr><td>Degli-Esposti [23]</td><td>12</td><td>41.7%</td><td>32.2%</td><td>26.7%</td><td>36.9%</td><td>25.9%</td></tr><tr><td>Erkens [37]</td><td>12</td><td>62.0%</td><td>59.7%</td><td>34.7%</td><td>35.0%</td><td>33.0%</td></tr><tr><td>Veronesi [19]</td><td>24</td><td>68.5%</td><td>64.5%</td><td>51.6%**</td><td>44.8%**</td><td>34.4%*</td></tr><tr><td>Hasford [17]</td><td>12</td><td>26.4%</td><td>28.2%</td><td>25.9%</td><td>25.8%</td><td>21.9%</td></tr><tr><td>Patel [16]</td><td>12</td><td>51.9%</td><td>48.0%</td><td>38.3%</td><td>40.3%</td><td>29.9%</td></tr></table>
f6bd3352c3201bde2ba0c8ee71ea7d7d6e478a85e7800ab62cd4db64ce48f76a.png
complex
<table><tr><td>Main Geographic Region</td><td>Populations (ID)</td><td>Individuals</td><td colspan="2">HWE</td><td colspan="2">(%) allele frequencies LCE3 C_LCE3B-del</td><td colspan="3">SNP genotype frequencies (%)</td><td>LD</td></tr><tr><td> </td><td> </td><td> </td><td>x<sup>2</sup></td><td>p-value</td><td>+</td><td>&#8722;</td><td>AA</td><td>AG</td><td>GG</td><td>r<sup>2</sup></td></tr><tr><td>Sub-Saharan Africans</td><td>Pygmies* (PYG)</td><td>44</td><td>0.93</td><td>0.33</td><td>64.77</td><td>35.23</td><td>0</td><td>13.64</td><td>86.36</td><td>0.013</td></tr><tr><td> </td><td>Mandenka (MAN)</td><td>17</td><td>0.78</td><td>0.56</td><td>58.82</td><td>41.18</td><td>4.55</td><td>22.73</td><td>72.73</td><td>0.121</td></tr><tr><td> </td><td>Yoruba (YRI)</td><td>22</td><td>2.18</td><td>0.14</td><td>65.91</td><td>34.09</td><td>0</td><td>28.57</td><td>71.43</td><td>0.089</td></tr><tr><td> </td><td>Bantu (BAN)</td><td>18</td><td>2.66</td><td>0.10</td><td>72.22</td><td>27.78</td><td>0</td><td>50.00</td><td>50.00</td><td>0</td></tr><tr><td>North-African/Middle East</td><td>Mozabite* (ALG)</td><td>26</td><td>0.04</td><td>0.84</td><td>32.69</td><td>67.31</td><td>0</td><td>21.43</td><td>78.57</td><td>0.256</td></tr><tr><td> </td><td>Bedouin* (BED)</td><td>36</td><td>0.47</td><td>0.49</td><td>47.22</td><td>52.78</td><td>14.63</td><td>53.66</td><td>31.71</td><td>0.772</td></tr><tr><td> </td><td>Druze* (DRU)</td><td>37</td><td>1.87</td><td>0.17</td><td>36.49</td><td>63.51</td><td>9.09</td><td>56.82</td><td>34.09</td><td>1</td></tr><tr><td> </td><td>Palestinian (PAL)</td><td>40</td><td>0.44</td><td>0.50</td><td>31.25</td><td>68.75</td><td>4.44</td><td>44.44</td><td>51.11</td><td>0.936</td></tr><tr><td>European</td><td>French (FRA)</td><td>27</td><td>1.47</td><td>0.23</td><td>40.74</td><td>59.26</td><td>16.67</td><td>41.67</td><td>41.67</td><td>1</td></tr><tr><td> </td><td>French Basque* (BASQ)</td><td>21</td><td>1.70</td><td>0.19</td><td>40.48</td><td>59.52</td><td>9.09</td><td>54.55</td><td>36.36</td><td>0.91</td></tr><tr><td> </td><td>Sardinian* (SARD)</td><td>24</td><td>0</td><td>0.97</td><td>29.17</td><td>70.83</td><td>13.04</td><td>47.83</td><td>39.13</td><td>1</td></tr><tr><td> </td><td>Italian (ITL)</td><td>17</td><td>0.28</td><td>0.60</td><td>31.76</td><td>38.24</td><td>35.00</td><td>40.00</td><td>25.00</td><td>1</td></tr><tr><td> </td><td>Orcadian* (ORC)</td><td>16</td><td>2.80</td><td>0.09</td><td>31.25</td><td>68.75</td><td>23.08</td><td>23.08</td><td>53.85</td><td>1</td></tr><tr><td> </td><td>Russian (RUS)</td><td>23</td><td>0.18</td><td>0.68</td><td>39.13</td><td>60.87</td><td>14.29</td><td>42.86</td><td>42.86</td><td>0.897</td></tr><tr><td>Central-South Asians</td><td>Brahui (BRA)</td><td>22</td><td>0.61</td><td>0.44</td><td>43.18</td><td>56.82</td><td>21.74</td><td>43.48</td><td>34.78</td><td>1</td></tr><tr><td> </td><td>Balochi (BAL)</td><td>18</td><td>0.21</td><td>0.65</td><td>27.78</td><td>72.22</td><td>5.00</td><td>40.00</td><td>55.00</td><td>0.852</td></tr><tr><td> </td><td>Makrani (MAK)</td><td>24</td><td>0.67</td><td>0.41</td><td>50.00</td><td>50.00</td><td>23.81</td><td>42.86</td><td>33.33</td><td>0.55</td></tr><tr><td> </td><td>Sindhi (SIN)</td><td>21</td><td>1.71</td><td>0.19</td><td>33.33</td><td>66.67</td><td>0</td><td>50.00</td><td>50.00</td><td>0.905</td></tr><tr><td> </td><td>Kalash* (KAL)</td><td>24</td><td>1.53</td><td>0.22</td><td>47.92</td><td>52.08</td><td>16.67</td><td>55.56</td><td>27.78</td><td>0.861</td></tr><tr><td> </td><td>Burusho (BUR)</td><td>23</td><td>3.19</td><td>0.07</td><td>41.30</td><td>58.70</td><td>27.27</td><td>31.82</td><td>40.91</td><td>1</td></tr><tr><td> </td><td>Hazara ( HAZ)</td><td>17</td><td>1.14</td><td>0.29</td><td>79.41</td><td>20.59</td><td>43.75</td><td>56.25</td><td>0</td><td>0.904</td></tr><tr><td>Eastern Asians</td><td>Han (CHB)</td><td>34</td><td>0</td><td>0.98</td><td>38.24</td><td>61.76</td><td>0</td><td>52.17</td><td>47.83</td><td>0.468</td></tr><tr><td> </td><td>Japanese (JPN)</td><td>26</td><td>2.45</td><td>0.12</td><td>48.08</td><td>51.92</td><td>50.00</td><td>37.93</td><td>37.93</td><td>0.837</td></tr><tr><td> </td><td>Yaut* (YAK)</td><td>11</td><td>0.55</td><td>0.46</td><td>77.27</td><td>22.73</td><td>50.00</td><td>31.82</td><td>18.18</td><td>1</td></tr><tr><td> </td><td>NEA</td><td>34</td><td>0.54</td><td>0.46</td><td>45.59</td><td>54.41</td><td>20.59</td><td>52.94</td><td>26.47</td><td>0.852</td></tr><tr><td> </td><td>SEA</td><td>36</td><td>0.73</td><td>0.40</td><td>29.17</td><td>70.83</td><td>5.88</td><td>50.00</td><td>44.12</td><td>0.537</td></tr><tr><td>Oceania</td><td>Papuan-Melasian (OCE)</td><td>35</td><td>2.31</td><td>0.13</td><td>50.00</td><td>50.00</td><td>26.47</td><td>41.18</td><td>32.35</td><td>0.935</td></tr><tr><td>Americans</td><td>PIMA</td><td>22</td><td>0.51</td><td>0.48</td><td>25.00</td><td>75.00</td><td>9.09</td><td>36.36</td><td>54.55</td><td>0.804</td></tr><tr><td> </td><td>MAYA</td><td>21</td><td>0.94</td><td>0.33</td><td>38.10</td><td>61.90</td><td>7.14</td><td>57.14</td><td>35.71</td><td>1</td></tr><tr><td> </td><td>Karitiana (KAR)</td><td>17</td><td>0.02</td><td>0.90</td><td>97.06</td><td>2.94</td><td>90.48</td><td>4.76</td><td>4.76</td><td>1</td></tr><tr><td> </td><td>Surui* (SUR)</td><td>15</td><td>1.52</td><td>0.22</td><td>26.67</td><td>73.33</td><td>10.53</td><td>26.31</td><td>63.16</td><td>1</td></tr></table>
708c12bae4b8e365ad594b2caa095875a8fe0c114521e3739df66148293187ba.png
complex
<table><tr><td rowspan="2"></td><td colspan="4">OR or &#946;*&#8224; (95% CI)</td></tr><tr><td>Iron score</td><td>Ferritin score</td><td>Transferrin score</td><td>Transferrin saturation score</td></tr><tr><td>Atopy (n=2208)</td><td></td><td></td><td></td><td></td></tr><tr><td> Per SD increase</td><td>1.08 (0.97 to 1.19)</td><td>1.06 (0.95 to 1.17)</td><td>0.97 (0.88 to 1.07)</td><td>1.05 (0.95 to 1.17)</td></tr><tr><td> P for trend</td><td>0.15</td><td>0.28</td><td>0.56</td><td>0.31</td></tr><tr><td>Asthma (n=2787)</td><td></td><td></td><td></td><td></td></tr><tr><td> Per SD increase</td><td>1.09 (0.97 to 1.22)</td><td>0.98 (0.88 to 1.10)</td><td>1.00 (0.90 to 1.12)</td><td>1.08 (0.96 to 1.21)</td></tr><tr><td> P for trend</td><td>0.15</td><td>0.75</td><td>0.95</td><td>0.20</td></tr><tr><td>FEV<sub>1</sub> (n=2300)</td><td></td><td></td><td></td><td></td></tr><tr><td> Per SD increase</td><td>&#8722;0.04 (&#8722;0.08 to 0.00)</td><td>&#8722;0.02 (&#8722;0.06 to 0.02)</td><td>&#8722;0.03 (&#8722;0.07 to 0.01)</td><td>&#8722;0.05 (&#8722;0.09 to &#8722;0.01)</td></tr><tr><td> P for trend</td><td>0.07</td><td>0.38</td><td>0.13</td><td>0.03</td></tr><tr><td>FVC (n=2336)</td><td></td><td></td><td></td><td></td></tr><tr><td> Per SD increase</td><td>&#8722;0.03 (&#8722;0.07 to 0.01)</td><td>&#8722;0.01 (&#8722;0.05 to 0.03)</td><td>&#8722;0.03 (&#8722;0.07 to 0.01)</td><td>&#8722;0.04 (&#8722;0.08 to 0.00)</td></tr><tr><td> P for trend</td><td>0.12</td><td>0.72</td><td>0.14</td><td>0.04</td></tr><tr><td>FEF<sub>25-75</sub> (n=2336)</td><td></td><td></td><td></td><td></td></tr><tr><td> Per SD increase</td><td>&#8722;0.02 (&#8722;0.06 to 0.02)</td><td>&#8722;0.02 (&#8722;0.06 to 0.02)</td><td>&#8722;0.02 (&#8722;0.06 to 0.02)</td><td>&#8722;0.02 (&#8722;0.06 to 0.02)</td></tr><tr><td> P for trend</td><td>0.35</td><td>0.39</td><td>0.36</td><td>0.28</td></tr></table>
46e608d3d6319199388e33619fc01cd7e828455e5e1a33e68d53bc4f745fe59b.png
simple
<table><tr><td>Patient</td><td>Sex</td><td>Age (years)</td><td>Time from implantation until removal (months)</td><td>Implant Material</td><td>Location</td><td>Reason for removal</td><td>Broken Screws?</td></tr><tr><td>1</td><td>Female</td><td>48</td><td>11</td><td>Ti</td><td>PU</td><td>Nonunion</td><td>No</td></tr><tr><td>2</td><td>Female</td><td>27</td><td>23</td><td>Ti</td><td>DH</td><td>Symptoms</td><td>Yes</td></tr><tr><td>3</td><td>Female</td><td>34</td><td>5</td><td>Ti</td><td>PU</td><td>Infection</td><td>No</td></tr><tr><td>4</td><td>Male</td><td>40</td><td>48</td><td>SS</td><td>DH</td><td>Contracture</td><td>No</td></tr><tr><td>5</td><td>Male</td><td>30</td><td>74</td><td>SS</td><td>PU</td><td>Infection</td><td>No</td></tr><tr><td>6</td><td>Female</td><td>25</td><td>38</td><td>Ti</td><td>Both</td><td>Nonunion</td><td>No</td></tr><tr><td>7</td><td>Male</td><td>44</td><td>2</td><td>Ti</td><td>Both</td><td>Infection</td><td>No</td></tr><tr><td>8</td><td>Female</td><td>43</td><td>5</td><td>SS</td><td>PU</td><td>Symptoms</td><td>No</td></tr><tr><td>9</td><td>Female</td><td>30</td><td>12</td><td>Ti</td><td>PU</td><td>Symptoms</td><td>No</td></tr><tr><td>10</td><td>Female</td><td>57</td><td>9</td><td>Ti</td><td>PU</td><td>Symptoms</td><td>No</td></tr><tr><td>11</td><td>Female</td><td>46</td><td>33</td><td>SS</td><td>Both</td><td>Nonunion</td><td>No</td></tr><tr><td>12</td><td>Male</td><td>24</td><td>8</td><td>SS</td><td>PU</td><td>Infection</td><td>No</td></tr><tr><td>13</td><td>Male</td><td>47</td><td>4</td><td>Ti</td><td>DH</td><td>Infection</td><td>No</td></tr><tr><td>14</td><td>Female</td><td>40</td><td>9</td><td>SS</td><td>Both*</td><td>Symptoms</td><td>Yes</td></tr><tr><td>15</td><td>Male</td><td>17</td><td>53</td><td>Ti</td><td>Both*</td><td>Nonunion</td><td>Yes</td></tr><tr><td>16</td><td>Male</td><td>56</td><td>25</td><td>Ti</td><td>DH</td><td>Symptoms</td><td>Yes</td></tr><tr><td>17</td><td>Female</td><td>35</td><td>64</td><td>Ti</td><td>DH</td><td>Infection</td><td>Yes</td></tr><tr><td>18</td><td>Female</td><td>48</td><td>12</td><td>Ti</td><td>PU</td><td>Symptoms</td><td>No</td></tr><tr><td>19</td><td>Male</td><td>27</td><td>8</td><td>SS</td><td>DH</td><td>Infection</td><td>No</td></tr><tr><td>20</td><td>Male</td><td>66</td><td>16</td><td>Ti</td><td>PU</td><td>Nonunion</td><td>Yes</td></tr><tr><td>21</td><td>Male</td><td>28</td><td>7</td><td>Ti</td><td>Both</td><td>Nonunion</td><td>No</td></tr></table>
38a22e8c863722ce6570e14dbc334510472d136eb6d8346ebcf30ceee1a0f58f.png
complex
<table><tr><td rowspan="2">Genotype</td><td>Control</td><td colspan="3">RPC*</td><td colspan="3">UC*</td><td colspan="3">Total UTUC</td></tr><tr><td>N (%)</td><td>N (%)</td><td>Odds ratio (95% CI*)</td><td>P</td><td>N (%)</td><td>Odds ratio (95% CI*)</td><td>P</td><td>N (%)</td><td>Odds ratio (95% CI*)</td><td>P</td></tr><tr><td><i>rs2736100 (N/%)</i></td><td>289</td><td>92</td><td></td><td></td><td>120</td><td></td><td></td><td>212</td><td></td><td></td></tr><tr><td>AA</td><td>86 (29.8)</td><td>34 (37.0)</td><td>1.0 (ref.)</td><td></td><td>49 (40.8)</td><td>1.0 (ref.)</td><td></td><td>83 (39.2)</td><td>1.0 (ref.)</td><td></td></tr><tr><td>AC</td><td>144 (49.8)</td><td>32 (34.8)</td><td>0.562 (0.324 - 0.976)</td><td>0.055</td><td>49 (40.8)</td><td>0.597 (0.370 - 0.963)</td><td>0.045</td><td>81 (38.2)</td><td>0.583 (0.388 - 0.875)</td><td>0.012</td></tr><tr><td>CC</td><td>59 (20.4)</td><td>26 (28.2)</td><td>1.115 (0.606 - 2.049)</td><td>0.846</td><td>22 (18.4)</td><td>0.714 (0.396 - 1.288)</td><td>0.330</td><td>48 (22.6)</td><td>0.878 (0.542 - 1.423)</td><td>0.685</td></tr><tr><td>AA + CC</td><td>145 (50)</td><td>60 (65)</td><td>1.0 (ref.*)</td><td></td><td>71 (59.2)</td><td>1.0 (ref.)</td><td></td><td>133(62.1)</td><td>1.0 (ref.)</td><td></td></tr><tr><td>AC</td><td>144 (49.8)</td><td>32 (35)</td><td>0.537 (0.330 - 0.874)</td><td>0.016</td><td>49 (40.8)</td><td>0.695 (0.452 - 1.069)</td><td>0.121</td><td>81 (37.9)</td><td>0.613 (0.428 - 0.879)</td><td>0.010</td></tr></table>
46f49bf5d5cd11baa846aeb10385b53f976dca13bf0c369147d491ed749503c2.png
simple
<table><tr><td>Isolate no.</td><td>A<sub>600</sub></td><td>Residual Cr(VI)<sup>a </sup>(mM)</td><td>% Cr(VI) reduced</td><td>Cr(VI) transformed per A<sub>600 </sub>of growth</td></tr><tr><td>TSB-1</td><td>0.56</td><td>0</td><td>100</td><td>1.79</td></tr><tr><td>TSB-2</td><td>0.65</td><td>0</td><td>100</td><td>1.54</td></tr><tr><td>TSB-3</td><td>0.3</td><td>0.4</td><td>60</td><td>2.00</td></tr><tr><td>TSB-4</td><td>0.251</td><td>0.6</td><td>40</td><td>1.59</td></tr><tr><td>TSB-5</td><td>0.690</td><td>0</td><td>100</td><td>1.45</td></tr><tr><td>TSB-7</td><td>0.325</td><td>0.65</td><td>35</td><td>1.08</td></tr><tr><td>TSB-8</td><td>0.202</td><td>0.68</td><td>32</td><td>1.58</td></tr><tr><td>TSB-9</td><td>0.0.596</td><td>0</td><td>100</td><td>1.68</td></tr><tr><td>TSB-10</td><td>0.42</td><td>0.66</td><td>34</td><td>0.81</td></tr><tr><td>TSB-11</td><td>0.695</td><td>0</td><td>100</td><td>1.44</td></tr></table>
da0dc623a8cccee86574b5e79df5b88f1f2b474b5320ecc34ffc822bfd49f78d.png
simple
<table><tr><td>Lesion [sources]</td><td>HPV prevalence</td><td>HPV 6/11/16/18 attributable fraction among HPV+ cases</td><td>HPV 6/11/16/18/31/33/45/52/58 attributable fraction among HPV+ cases</td><td>HPV 31/33/45/52/58 absolute (relative) attributable fraction among HPV+ cases</td></tr><tr><td>Genital warts [2]</td><td>100%</td><td>90%</td><td>90%</td><td>0% (0%)</td></tr><tr><td>CIN 2/3 [2]</td><td>100%</td><td>45.5%</td><td>82.3%</td><td>36.8% (80.9%)</td></tr><tr><td>VIN2/3 [8]</td><td>86.9%</td><td>80.9%</td><td>93.9%</td><td>13.0% (16.1%)</td></tr><tr><td>VaIN 2/3 [9]</td><td>98.0%</td><td>65.7%</td><td>79.0%</td><td>13.3% (20.2%)</td></tr><tr><td>AIN 2/3 [22]</td><td>95.7%</td><td>80.5%</td><td>87.8%</td><td>7.3% (9.1%)</td></tr><tr><td>PIN 2/3 [10]</td><td>89.1%</td><td>81.0%</td><td>91.9%</td><td>10.9% (13.4%)</td></tr><tr><td>Cervical cancer [21]</td><td>100%</td><td>72.4%(a)</td><td>88.3%(a)</td><td>15.9% (21.9%)(a)</td></tr><tr><td>Vulvar cancer [8]</td><td>18.3% (b)</td><td>78.0%</td><td>91.6%</td><td>13.6% (17.4%)</td></tr><tr><td>Vaginal cancer [9]</td><td>71.0%</td><td>64.0%(a)</td><td>84.2%(a)</td><td>20.2% (31.6%)(a)</td></tr><tr><td>Anal cancer [22]</td><td>87.6%</td><td>84.3%(a)</td><td>92.3%(a)</td><td>8.0% (9.5%)(a)</td></tr><tr><td>Penile cancer [10]</td><td>32.2%</td><td>70.2%(a)</td><td>79.4%(a)</td><td>9.2% (13.1%)(a)</td></tr><tr><td>Oral cavity [23]</td><td>7.4%</td><td>72.0%(a)</td><td>80.6%(a)</td><td>8.6% (11.9%)(a)</td></tr><tr><td>Nasopharynx [23]</td><td>7,9%</td><td>75.0%(a)</td><td>87.5%(a)</td><td>12.5% (16.7%)(a)</td></tr><tr><td>Oropharynx cancer [23]</td><td>24.9%</td><td>85.2%(a)</td><td>89.7%(a)</td><td>4.5% (5.3%)(a)</td></tr><tr><td>Hypopharynx cancer [23]</td><td>3.9%</td><td>80.0%(a)</td><td>100%(a)</td><td>20.0% (25.0%)(a)</td></tr><tr><td>Pharynx cancer [23]</td><td>21.4%</td><td>66.7%(a)</td><td>66.7%(a)</td><td>0% (0%)(a)</td></tr><tr><td>Larynx cancer [23]</td><td>5.7%</td><td>57.6%(a)</td><td>74.6%(a)</td><td>17.0% (29.5%)(a)</td></tr></table>
20fbfc952daa3d18d3c0730e35422464b67f932dd5cd4ca1d5f0620e3e7e72db.png
simple
<table><tr><td>Concrete resistivity &#961; (k&#937;cm)</td><td>Probable corrosion rate</td></tr><tr><td>&gt;20</td><td>Despicable</td></tr><tr><td>Between 10 and 20</td><td>Low</td></tr><tr><td>Between 5 and 10</td><td>High</td></tr><tr><td>&lt;5</td><td>Very high</td></tr></table>
457846dddce6e49f084634b61164fe80fec9245800951158d9059efb26991266.png
complex
<table><tr><td>Target viruses<sup>a</sup></td><td>Target genes<sup>b</sup></td><td>Primer sequence, 5&#8242;&#8211;3<sup>&#8242;c</sup></td><td>Size (bp)</td><td>Source or reference</td></tr><tr><td>PToV</td><td>S</td><td>F: ACCCCTGCCTGAGGTTTCYTTR: AGCACGACGTTGTCTRCGTGT</td><td>451</td><td>Established by our own laboratory</td></tr><tr><td>PEDV</td><td>S</td><td>F: TTCTGAGTCACGAACAGCCAR: CATATGCAGCCTGCTCTGAA</td><td>651</td><td>Kim et al. (2001) [11]</td></tr><tr><td>PKBV</td><td>3D</td><td>F: TGGATTACAAGTGTTTTGATGCR: TGTCGTAGAACTCCTTGATGAA</td><td>313</td><td>Established by our own laboratory</td></tr><tr><td rowspan="2"> PRV A</td><td rowspan="2"> VP6</td><td>F: AAAGATGCTAGGGACAAAATTGR: TTCAGATTGTGGAGCTATTCCA</td><td>308</td><td rowspan="2"> Elschner et al. (2002) [12]</td></tr><tr><td>nF: GACAAAATTGTCGAAGGCACATTATAnR: TCGGTAGATTACCAATTCCTCCAG</td><td>121</td></tr><tr><td>PRV B</td><td>NSP2</td><td>F: CTATTCAGTGTGTCGTGAGAGG R: GCAGACAAGCTAGCCCGCTTCG</td><td>434</td><td>Gouvea et al. (1991) [13]</td></tr><tr><td rowspan="2"> PRV C</td><td rowspan="2">VP6</td><td>F: CTCGATGCTACTACAGAATCAGR: AGCCACATAGTTCACATTTCATCC</td><td>366</td><td rowspan="2"> Gouvea et al. (1991) [13]</td></tr><tr><td>nF: CTCGATGCTACTACAGAATCAGnR: GGGATCATCCACGTCATGCGT</td><td>328</td></tr><tr><td rowspan="2">TGEV</td><td>ORF1b</td><td rowspan="2">F: GGGTAAGTTGCTCATTAGAAATAATGGR: CTTCTTCAAAGCTAGGGACTG</td><td rowspan="2">1006</td><td rowspan="2">Kim et al. (2010) [14]</td></tr><tr><td>S</td></tr><tr><td>AV</td><td>RdRp</td><td>F11: GARTTYGATTGGRCKCGKTAYGAF12: GARTTYGATTGGRCKAGGTAYGAF21: CGKTAYGATGGKACKATHCF22: AGGTAYGATGGKACKATHCR1: GGYTTKACCCACATICCRAA</td><td>422</td><td>Chu et al. (2008) [15]</td></tr><tr><td rowspan="2"> MRV</td><td rowspan="2">L1</td><td>F: GCATCCATTGTAAATGACGAGTCTGR: CTTGAGATTAGCTCTAGCATCTTCTG</td><td>416</td><td rowspan="2"> Decaro et al. (2005) [16]</td></tr><tr><td>nF: GCTAGGCCGATATCGGGAATGCAGnR: GTCTCACTATTCACCTTACCAGCAG</td><td>344</td></tr><tr><td>PSaV and PNoV</td><td>RdRp</td><td>F: GATTACTCCAAGTGGGACTCCACR: TGACAATGTAATATCACCATA</td><td>319</td><td>Kim et al. (2010) [14]</td></tr></table>
a9cf2b64aefdf410ccdd6a55a875815091acbbeea331bb950c7f70504a44db2f.png
simple
<table><tr><td>Correlation between IGF-I/IGFBP-3 molar ratio and:</td><td>Total group (GHD and controls)</td><td>GHD group</td></tr><tr><td>Height SDS</td><td>+0.01</td><td>+0.16</td></tr><tr><td>BMI SDS for HA</td><td>+0.26</td><td>+0.24</td></tr><tr><td>Ghrelin</td><td>&#8722;0.35<sup>&#8727;</sup></td><td>&#8722;0.34<sup>&#8727;</sup></td></tr><tr><td>Leptin</td><td>+0.29</td><td>+0.34</td></tr><tr><td>Adiponectin</td><td>&#8722;0.15</td><td>&#8722;0.41<sup>&#8727;</sup></td></tr><tr><td>Resistin</td><td>&#8722;0.24</td><td>0.0</td></tr><tr><td>Triglycerides</td><td>+0.4<sup>&#8727;</sup></td><td>+0.59<sup>&#8727;</sup></td></tr><tr><td>Cholesterol</td><td>+0.22</td><td>+0.05</td></tr><tr><td>LDL-cholesterol</td><td>+0.16</td><td>+0.08</td></tr><tr><td>HDL-cholesterol</td><td>&#8722;0.04</td><td>&#8722;0.59<sup>&#8727;</sup></td></tr><tr><td>Glucose</td><td>+0.18</td><td>+0.2</td></tr><tr><td>Insulin</td><td>+0.41<sup>&#8727;</sup></td><td>+0.48<sup>&#8727;</sup></td></tr><tr><td>IRI HOMA</td><td>+0.36<sup>&#8727;</sup></td><td>+0.41<sup>&#8727;</sup></td></tr></table>
0e79d2b3ee14fa9f4130671b5ed9ded36395ea80d7f5478dd485eb16b7f3815a.png
complex
<table><tr><td></td><td colspan="2">A2780</td><td colspan="2">A2780/CDDP</td><td colspan="2">SKOV3</td></tr><tr><td></td><td>control</td><td>BRCA1 si</td><td>control</td><td>BRCA1 si</td><td>control</td><td>BRCA1 si</td></tr><tr><td>G1</td><td>52.57&#177;5.11%</td><td>50.03&#177;4.88%</td><td>48.87&#177;4.76%</td><td>44.77&#177;5.71%</td><td>45.07&#177;4.1%</td><td>43.03&#177;2.71%</td></tr><tr><td>S</td><td>16.43&#177;3.18%</td><td>19.33&#177;2.81%</td><td>10.89&#177;2.18%</td><td>10.40&#177;3.23%</td><td>9.43&#177;5.18%</td><td>9.39&#177;1.86%</td></tr><tr><td>G2/M</td><td>19.73&#177;2.50%</td><td>21.37&#177;2.76%</td><td>28.83&#177;2.44%</td><td>29.39&#177;3.50%</td><td>23.03&#177;1.50%</td><td>23.99&#177;2.90%</td></tr></table>
358657581c54a5b3bb6bf0f4d026893ac181d48f7b2b7644008f07a1ae54961b.png
complex
<table><tr><td rowspan="2">Epidemiological strata</td><td rowspan="2" colspan="3">Study sites</td><td colspan="3">Age (months)</td><td rowspan="2">Total</td></tr><tr><td>&lt; 60</td><td>60&#8211;119</td><td>120+</td></tr><tr><td rowspan="3">HWP</td><td rowspan="3">Bamenda</td><td rowspan="2">Gender</td><td>F</td><td>70 (40.5)</td><td>29 (16.8)</td><td>74 (42.8)</td><td>173 (54.4)</td></tr><tr><td>M</td><td>58 (40.0)</td><td>38 (26.2)</td><td>49 (33.8)</td><td>145 (45.6)</td></tr><tr><td colspan="2">Total</td><td>128 (40.3)</td><td>67 (21.1)</td><td>123 (38.7)</td><td>318</td></tr><tr><td rowspan="3">C</td><td rowspan="3">Limbe</td><td rowspan="2">Gender</td><td>F</td><td>75 (50.3)</td><td>39 (26.2)</td><td>35 (23.5)</td><td>149 (46.9)</td></tr><tr><td>M</td><td>103 (61.0)</td><td>39 (23.1)</td><td>27 (15.9)</td><td>169 (53.1)</td></tr><tr><td colspan="2">Total</td><td>178 (56.0)</td><td>78 (24.5)</td><td>62 (19.5)</td><td>318</td></tr><tr><td rowspan="3">SCEF</td><td rowspan="3">Yaounde</td><td rowspan="2">Gender</td><td>F</td><td>61 (40.7)</td><td>32 (21.3)</td><td>57 (38.0)</td><td>150 (44.0)</td></tr><tr><td>M</td><td>100 (52.4)</td><td>46 (24.1)</td><td>45 (23.6)</td><td>191 (56.0)</td></tr><tr><td colspan="2">Total</td><td>161 (47.2)</td><td>78 (22.9)</td><td>102 (29.9)</td><td>341</td></tr><tr><td rowspan="3">SS</td><td rowspan="3">Maroua</td><td rowspan="2">Gender</td><td>F</td><td>122 (74.4)</td><td>27 (16.5)</td><td>15 (9.1)</td><td>164 (52.1)</td></tr><tr><td>M</td><td>111 (73.5)</td><td>27 (17.9)</td><td>13 (8.6)</td><td>151 (47.9)</td></tr><tr><td colspan="2">Total</td><td>233 (74.0)</td><td>54 (17.1)</td><td>28 (8.9)</td><td>315</td></tr><tr><td rowspan="3">HIP</td><td rowspan="3">Ngaoundere</td><td rowspan="2">Gender</td><td>F</td><td>94 (65.7)</td><td>32 (22.4)</td><td>17 (11.9)</td><td>143 (45.1)</td></tr><tr><td>M</td><td>116 (66.7)</td><td>34 (19.5)</td><td>24 (13.8)</td><td>174 (54.9)</td></tr><tr><td colspan="2">Total</td><td>210 (66.3)</td><td>66 (20.8)</td><td>41 (12.9)</td><td>317</td></tr><tr><td rowspan="3" colspan="2">Total</td><td rowspan="2">Gender</td><td>F</td><td>422 (54.2)</td><td>159 (20.4)</td><td>198 (25.4)</td><td>779 (48.4)</td></tr><tr><td>M</td><td>488 (58.8)</td><td>184 (22.2)</td><td>158 (19.0)</td><td>830 (51.6)</td></tr><tr><td colspan="2">Total</td><td>910 (56.6)</td><td>343 (21.3)</td><td>356 (22.1)</td><td>1609</td></tr></table>
ea1acb08fac05707e02814ec3c2f6105f812fbf7827e01359955c64cf011cfb4.png
complex
<table><tr><td></td><td colspan="8">Animal ID</td><td>Total tRFs</td><td>tRFs/cow</td></tr><tr><td>tRF3</td><td>1141</td><td>1143</td><td>2919</td><td>2927</td><td>2931</td><td>2938</td><td>2939</td><td>2942</td><td></td><td></td></tr><tr><td>tRF3-Ala</td><td>1</td><td>0</td><td>1</td><td>2</td><td>1</td><td>0</td><td>0</td><td>0</td><td>5</td><td>0.625</td></tr><tr><td>tRF3-Arg</td><td>1</td><td>4</td><td>4</td><td>10</td><td>1</td><td>7</td><td>2</td><td>4</td><td>33</td><td>4.125</td></tr><tr><td>tRF3-Asn</td><td>13</td><td>6</td><td>18</td><td>8</td><td>3</td><td>6</td><td>14</td><td>6</td><td>74</td><td>9.250</td></tr><tr><td>tRF3-Asp</td><td>6</td><td>3</td><td>9</td><td>6</td><td>3</td><td>3</td><td>6</td><td>4</td><td>40</td><td>5</td></tr><tr><td>tRF3-Cys</td><td>0</td><td>1</td><td>0</td><td>3</td><td>0</td><td>0</td><td>0</td><td>0</td><td>4</td><td>0.500</td></tr><tr><td>tRF3-Gln</td><td>2</td><td>1</td><td>1</td><td>2</td><td>1</td><td>1</td><td>0</td><td>1</td><td>9</td><td>1.125</td></tr><tr><td>tRF3-Glu</td><td>34</td><td>16</td><td>41</td><td>43</td><td>25</td><td>26</td><td>24</td><td>46</td><td>255</td><td>31.875</td></tr><tr><td>tRF3-Gly</td><td>0</td><td>0</td><td>1</td><td>4</td><td>0</td><td>1</td><td>2</td><td>0</td><td>8</td><td>1</td></tr><tr><td>tRF3-His</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>tRF3-Ile</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0.125</td></tr><tr><td>tRF3-Leu</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>2</td><td>2</td><td>6</td><td>0.750</td></tr><tr><td>tRF3-Lys</td><td>4</td><td>2</td><td>7</td><td>2</td><td>0</td><td>5</td><td>4</td><td>12</td><td>36</td><td>4.500</td></tr><tr><td>tRF3-Met</td><td>3</td><td>2</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td>0</td><td>9</td><td>1.125</td></tr><tr><td>tRF3-Phe</td><td>0</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1</td><td>0</td><td>2</td><td>0.25</td></tr><tr><td>tRF3-Pro</td><td>0</td><td>1</td><td>1</td><td>3</td><td>0</td><td>0</td><td>0</td><td>0</td><td>5</td><td>0.625</td></tr><tr><td>tRF3-Ser</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>tRF3-Stop</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td></tr><tr><td>tRF3-Thr</td><td>1</td><td>0</td><td>3</td><td>7</td><td>1</td><td>3</td><td>2</td><td>1</td><td>18</td><td>2.250</td></tr><tr><td>tRF3-Trp</td><td>2</td><td>0</td><td>1</td><td>0</td><td>1</td><td>0</td><td>1</td><td>0</td><td>5</td><td>0.625</td></tr><tr><td>tRF3-Tyr</td><td>0</td><td>1</td><td>2</td><td>0</td><td>0</td><td>1</td><td>1</td><td>0</td><td>5</td><td>0.625</td></tr><tr><td>tRF3-Val</td><td>6</td><td>2</td><td>5</td><td>16</td><td>3</td><td>7</td><td>2</td><td>6</td><td>47</td><td>5.875</td></tr><tr><td>Total tRF3</td><td>47</td><td>41</td><td>95</td><td>107</td><td>41</td><td>61</td><td>61</td><td>82</td><td>562</td><td></td></tr></table>
c54d167d3be89224493bf3c0904bfbdcb5d058455481708dc7e73fc387e5ca8e.png
complex
<table><tr><td rowspan="2">Characteristics</td><td colspan="2">Value</td></tr><tr><td>No.</td><td>%</td></tr><tr><td>Material surrounding the base</td><td></td><td></td></tr><tr><td>Mud</td><td>10</td><td>40</td></tr><tr><td>Brick</td><td>2</td><td>8</td></tr><tr><td>Small amount of cement</td><td>2</td><td>8</td></tr><tr><td>Large cement platform</td><td>11</td><td>44</td></tr><tr><td>Tubewell colour</td><td></td><td></td></tr><tr><td>Natural</td><td>21</td><td>84</td></tr><tr><td>Green</td><td>3</td><td>12</td></tr><tr><td>Red</td><td>1</td><td>4</td></tr><tr><td>Sediment in water</td><td></td><td></td></tr><tr><td>Iron</td><td>0</td><td>0</td></tr><tr><td>Sand</td><td>1</td><td>4</td></tr><tr><td>Iron and sand</td><td>3</td><td>13</td></tr><tr><td>None</td><td>21</td><td>84</td></tr><tr><td>Arsenic present&#8727;</td><td></td><td></td></tr><tr><td>No (&lt;50 &#956;g/L)</td><td>2</td><td>8</td></tr><tr><td>Yes (&#8805;50 &#956;g/L)</td><td>2</td><td>8</td></tr><tr><td>Never tested</td><td>21</td><td>84</td></tr><tr><td></td><td colspan="2">Mean (SD) and range</td></tr><tr><td>Temperature (&#176;C)</td><td colspan="2">26.8 (0.5)</td></tr><tr><td></td><td colspan="2">25.8-28.6</td></tr><tr><td>pH</td><td colspan="2">7.3 (0.3)</td></tr><tr><td></td><td colspan="2">6.5-7.8</td></tr><tr><td></td><td colspan="2">Median (IQR) and range</td></tr><tr><td>Total iron concentration (mg/L)</td><td></td><td></td></tr><tr><td>AAS</td><td colspan="2">11.4 (8.4-15.8)</td></tr><tr><td></td><td colspan="2">0.2-28.0</td></tr><tr><td>Test-kit</td><td colspan="2">12.8 (10.8-18.8)</td></tr><tr><td></td><td colspan="2">0.6-32.0</td></tr><tr><td>Colorimeter</td><td colspan="2">13.60 (9.60-17.60)</td></tr><tr><td></td><td colspan="2">0.50-49.20</td></tr><tr><td>Ferrous iron by colorimeter (mg/L)</td><td colspan="2">6.32 (3.10-10.50)</td></tr><tr><td></td><td colspan="2">0.02-28.60</td></tr></table>