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<table><tr><td>Project and Timeline</td><td>General Objective</td><td>Study Sites</td><td>Consortium partners</td></tr><tr><td>CERCA1/03/10 &#8211;29/02/14</td><td>To contribute to global knowledge about how health systems can be more responsive to the sexual and reproductive health needs of adolescents and, by extension, to other health needs of Latin American populations.</td><td>City of Cuenca (Ecuador)City of Managua (Nicaragua)City of Cochabamba (Bolivia)</td><td>South Group (Bolivia), University of Cuenca (Ecuador), Lithuanian University of Health Sciences (Lithuania), Amsterdam University (The Netherlands), Centro de Investigaciones y Estudios de Salud (Nicaragua), Instituto Centro Americano de Salud (Nicaragua)</td></tr><tr><td>DIFFER1/10/11 &#8211;30/09/16</td><td>To improve sexual and reproductive health for all women by expanding and strengthening sexual and reproductive health services, and providing and testing targeted interventions for female sex workers in the context of existing health systems.</td><td>Mombasa County, Coastal Province (Kenya)Cities of Tete and Moatize, Tete Province (Mozambique)City of Durban (eThekwini District), KwaZulu-Natal Province (South Africa)City of Mysore, Karnataka State (India)</td><td>Ashodaya Samithi (India), International Centre for Reproductive Health Association (Kenya), International Centre for Reproductive Health Association (Mozambique), University of the Witwatersrand &#8211; MatCH (South Africa), University College London &#8211; Institute for Global Health (United Kingdom)</td></tr><tr><td>INPAC1/08/12 &#8211;31/07/16</td><td>To evaluate the effectiveness of introducing integrated post-abortion family planning services into existing hospital-based abortion services in China in order to reduce unintended pregnancies and repeated abortions.</td><td>30 of 31 provinces, municipalities and autonomous regions of mainland China</td><td>Chinese Society of Family Planning &#8211; Chinese Medical Association (China), Fudan University (China), National Research Institute for Family Planning (China), West China Second University Hospital of Sichuan University (China), University of Aarhus &#8211; Danish Epidemiology Science Centre (Denmark), Liverpool School of Tropical Medicine (United Kingdom)</td></tr><tr><td>MOMI1/02/11 &#8211;31/01/16</td><td>To improve maternal and newborn health through a focus on the postpartum period, adopting context-specific strategies to strengthen health care delivery and services at both facility and community level in four sub-Saharan countries.</td><td>Kaya District (Burkina Faso)Kwale District (Kenya)Ntchisi District (Malawi)Chiuta District (Mozambique)</td><td>Institut de Recherche en Sciences de la Sante&#769; (Burkina Faso), International Centre for Reproductive Health Association (Kenya), Faculdade de Medicina &#8211; Eduardo Mondlane University (Mozambique), International Centre for Reproductive Health Association (Mozambique), Parent and Child Health Initiative (Malawi), Faculdade de Medicina da Universidade do Porto &#8211; Department of Hygiene and Epidemiology (Portugal), University College London &#8211; Institute for Global Health (United Kingdom)</td></tr></table>
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<table><tr><td>Characteristics</td><td>Number of patients (%)</td></tr><tr><td>Sex</td><td></td></tr><tr><td>Male</td><td>107 (81.7)</td></tr><tr><td>Female</td><td>24 (18.3)</td></tr><tr><td>Age</td><td></td></tr><tr><td>&#8804;64</td><td>57 (43.5)</td></tr><tr><td>&gt;64</td><td>74 (56.5)</td></tr><tr><td>Smoking</td><td></td></tr><tr><td>Smoking index &gt;400</td><td>41 (31.3)</td></tr><tr><td>Smoking index &#8804;400</td><td>36 (27.5)</td></tr><tr><td>No</td><td>54 (41.2)</td></tr><tr><td>Grade</td><td></td></tr><tr><td>Low</td><td>60 (45.8)</td></tr><tr><td>High</td><td>71 (54.2)</td></tr><tr><td>Invasiveness</td><td></td></tr><tr><td>Muscle-invasive</td><td>72 (55.0)</td></tr><tr><td>Non-muscle-invasive</td><td>59 (45.0)</td></tr><tr><td>Relapse</td><td></td></tr><tr><td>Yes</td><td>90 (68.7)</td></tr><tr><td>No</td><td>41 (31.3)</td></tr><tr><td>Metastasis</td><td></td></tr><tr><td>Yes</td><td>20 (15.3)</td></tr><tr><td>No</td><td>111 (84.7)</td></tr></table>
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<table><tr><td>Characteristics</td><td>All patients(<i>n</i> = 188)</td><td>Nafcillin group(<i>n</i> = 91)</td><td>Glycopeptide group(<i>n</i> = 97)</td><td><i>P</i> value</td></tr><tr><td>Age, years, mean &#177; SD</td><td>62.37 &#177; 15.14</td><td>64.38 &#177; 14.53</td><td>60.46 &#177; 15.54</td><td>0.076 <sup>a</sup></td></tr><tr><td>Male, (%)</td><td>129 (69.0)</td><td>61 (67.0)</td><td>68 (70.8)</td><td>0.636 <sup>b</sup></td></tr><tr><td colspan="5">Underlying comorbidities, yes (%)</td></tr><tr><td> Cardiovascular disease</td><td>55 (29.3)</td><td>29 (31.9)</td><td>26 (26.8)</td><td>0.522 <sup>b</sup></td></tr><tr><td> Cerebral vascular accident</td><td>19 (10.1)</td><td>12 (13.2)</td><td>7 (7.2)</td><td>0.227 <sup>b</sup></td></tr><tr><td> Dementia</td><td>5 (2.7)</td><td>1 (1.1)</td><td>4 (4.1)</td><td>0.370 <sup>c</sup></td></tr><tr><td> Lung disease</td><td>14 (7.4)</td><td>8 (8.8)</td><td>6 (6.2)</td><td>0.584 <sup>b</sup></td></tr><tr><td> Autoimmune disease</td><td>10 (5.3)</td><td>4 (4.4)</td><td>6 (6.2)</td><td>0.749 <sup>c</sup></td></tr><tr><td> Peptic ulcer disease</td><td>10 (5.3)</td><td>6 (6.6)</td><td>4 (4.1)</td><td>0.527 <sup>c</sup></td></tr><tr><td> Chronic kidney disease</td><td>39 (20.7)</td><td>23 (25.3)</td><td>16 (16.5)</td><td>0.153 <sup>b</sup></td></tr><tr><td> Diabetes</td><td>62 (33.0)</td><td>35 (38.5)</td><td>27 (27.8)</td><td>0.162 <sup>b</sup></td></tr><tr><td> Liver disease</td><td>23 (12.2)</td><td>8 (8.8)</td><td>15 (15.5)</td><td>0.187 <sup>b</sup></td></tr><tr><td> Malignancy</td><td>85 (45.2)</td><td>26 (28.6)</td><td>59 (60.8)</td><td>&lt;0.001 <sup>b</sup></td></tr><tr><td> CA vs. HCA, HCA (%)</td><td>113 (60.1)</td><td>43 (47.3)</td><td>70 (72.2)</td><td>&lt;0.001 <sup>b</sup></td></tr><tr><td> Pit bacteremia score, mean &#177; SD</td><td>1.56 &#177; 2.55</td><td>1.42 &#177; 2.39</td><td>1.69 &#177; 2.71</td><td>0.465 <sup>a</sup></td></tr><tr><td colspan="5">Infection focus, yes (%)</td></tr><tr><td> Catheter-related infection</td><td>22 (11.8)</td><td>12 (13.3)</td><td>10 (10.4)</td><td>0.651 <sup>b</sup></td></tr><tr><td> Pneumonia</td><td>8 (4.3)</td><td>1 (1.1)</td><td>7 (7.3)</td><td>0.066 <sup>c</sup></td></tr><tr><td> Urinary tract infection</td><td>7 (3.8)</td><td>9 (6.7)</td><td>1 (1.0)</td><td>0.058 <sup>c</sup></td></tr><tr><td> Skin and Soft tissue infection</td><td>43 (23.1)</td><td>27 (30.0)</td><td>16 (16.7)</td><td>0.037 <sup>b</sup></td></tr><tr><td> Bone and Joint infection</td><td>22 (11.8)</td><td>16 (17.8)</td><td>6 (6.3)</td><td>0.022 <sup>b</sup></td></tr><tr><td> Intra-abdominal infection</td><td>13 (7.0)</td><td>3 (3.3)</td><td>10 (10.4)</td><td>0.083 <sup>c</sup></td></tr><tr><td> Primary bacteremia</td><td>74 (39.8)</td><td>27 (30.0)</td><td>47 (49.0)</td><td>0.011 <sup>b</sup></td></tr><tr><td colspan="5">Laboratory tests</td></tr><tr><td> WBC, /mm<sup>3</sup>, median (IQR)</td><td>10,150 (7,635&#8211;14,770)</td><td>10,450 (8,120&#8211;15,280)</td><td>9,860 (5,485&#8211;14,615)</td><td>0.064 <sup>d</sup></td></tr><tr><td> Leukocytosis or Leukopenia, yes (%)</td><td>116 (61.7)</td><td>50 (54.9)</td><td>66 (68.0)</td><td>0.073 <sup>b</sup></td></tr><tr><td> Platelet counts, &#215;10<sup>3</sup>/mm<sup>3</sup>, median (IQR)</td><td>169 (95&#8211;250)</td><td>182 (115&#8211;257)</td><td>164 (83&#8211;250)</td><td>0.190 <sup>d</sup></td></tr><tr><td> Thrombocytopenia, yes (%)</td><td>82 (43.6)</td><td>36 (39.6)</td><td>46 (47.4)</td><td>0.305 <sup>b</sup></td></tr><tr><td> eGFR, mL/min/mm<sup>3</sup>, mean &#177; SD</td><td>62.88 &#177; 28.60</td><td>62.38 &#177; 28.27</td><td>63.35 &#177; 29.06</td><td>0.818 <sup>a</sup></td></tr><tr><td> Total bilirubin, mg/dL, median (IQR)</td><td>0.8 (0.5&#8211;1.4)</td><td>0.8 (0.5&#8211;1.3)</td><td>0.8 (0.5&#8211;1.4)</td><td>0.452 <sup>d</sup></td></tr><tr><td> Prothrombin time (INR), median (IQR)</td><td>1.12 (1.01&#8211;1.29)</td><td>1.13 (1.02&#8211;1.28)</td><td>1.11 (1.01&#8211;1.32)</td><td>0.895 <sup>d</sup></td></tr><tr><td> CRP, mg/dL, median (IQR)</td><td>121.01 (56.34&#8211;200.85)</td><td>139.60 (79.68&#8211;219.00)</td><td>107.61 (42.19&#8211;192.90)</td><td>0.022 <sup>d</sup></td></tr></table>
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<table><tr><td></td><td>Gene</td><td>Alteration</td><td>RsID</td><td>COSMIC</td></tr><tr><td>Sample 1</td><td>ARID1A</td><td>Gln1614*</td><td>NR</td><td>NR</td></tr><tr><td>Sample 1</td><td>NOTCH1</td><td>N280S</td><td>rs367825691</td><td>NR</td></tr><tr><td>Sample 1</td><td>PIK3CA</td><td>EDLLNPI453del</td><td>NR</td><td>NR</td></tr><tr><td>Sample 1</td><td>ROS1</td><td>V1881_splice</td><td>rs772648589</td><td>NR</td></tr><tr><td>Sample 2</td><td>ARID1A</td><td>P476*</td><td>NR</td><td>NR</td></tr><tr><td>Sample 2</td><td>ARID1A</td><td>Leu1054Phe</td><td>NR</td><td>NR</td></tr><tr><td>Sample 2</td><td>KMT2D</td><td>Gln3745dup</td><td>rs775492040</td><td>NR</td></tr><tr><td>Sample 3</td><td>CDKN2A<sup>a</sup></td><td>Glu69*</td><td>rs121913383</td><td>COSM13281</td></tr><tr><td>Sample 3</td><td>TP53<sup>a</sup></td><td>Asn268*</td><td>NR</td><td>COSM6583</td></tr><tr><td>Sample 4</td><td>TP53</td><td>Arg181Cys</td><td>rs587782596</td><td>COSM11090</td></tr><tr><td>Sample 5</td><td>KRAS</td><td>Gly12Val</td><td>rs121913529</td><td>COSM520</td></tr><tr><td>Sample 5</td><td>PIK3CA</td><td>His1047Arg</td><td>rs121913279</td><td>COSM775</td></tr><tr><td>Sample 6</td><td>ALK</td><td>Gly926Arg</td><td>NR</td><td>NR</td></tr><tr><td>Sample 6</td><td>ERBB2</td><td>Ile989Met</td><td>NR</td><td>NR</td></tr><tr><td>Sample 7</td><td>ARID1A<sup>a</sup></td><td>Tyr1055*</td><td>NR</td><td>NR</td></tr><tr><td>Sample 7</td><td>PIK3CA<sup>a</sup></td><td>Lys111Glu</td><td>NR</td><td>COSM13570</td></tr><tr><td>Sample 8</td><td>SPOP</td><td>Lys115Glu</td><td>NR</td><td>NR</td></tr><tr><td>Sample 9</td><td>ARID1A</td><td>Gln537*</td><td>NR</td><td>NR</td></tr><tr><td>Sample 9</td><td>ARID1A</td><td>Gln2176*</td><td>NR</td><td>COSM1582021</td></tr><tr><td>Sample 9</td><td>PIK3CA</td><td>His1047Arg</td><td>rs121913279</td><td>COSM775</td></tr></table>
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<table><tr><td></td><td>Native</td><td>Derivative</td></tr><tr><td colspan="3">Data collection</td></tr><tr><td> Beamline</td><td>ESRF ID14-4</td><td>SLS X06DA (PXIII)</td></tr><tr><td> Spacegroup</td><td>P3</td><td>P3</td></tr><tr><td> Unit cell parameters (A&#778;, &#176;)</td><td>a = b = 104.50, c = 33.59</td><td>a = b = 104.03, c = 33.56</td></tr><tr><td> </td><td>&#945; = &#946; = 90, &#947; = 120</td><td>&#945; = &#946; = 90, &#947; = 120</td></tr><tr><td> Wavelength (A&#778;)</td><td>0.91970</td><td>0.97942</td></tr><tr><td> Resolution limits (A&#778;)</td><td>52.25&#8211;1.49 (1.54&#8211;1.49)*</td><td>31.45&#8211;2.00 (2.06&#8211;2.00)*</td></tr><tr><td> Reflections observed/unique</td><td>607786/64606</td><td>419456/27271</td></tr><tr><td> Completeness (%)</td><td>98.3 (96.3)*</td><td>99.9 (98.9)*</td></tr><tr><td> R<sub>sym</sub>&#8224;(%)</td><td>5.6 (36.1)*</td><td>9.4 (75.2)*</td></tr><tr><td> &lt;I&gt;/&lt;&#963;I&gt;</td><td>26.3 (6.4)*</td><td>24.1 (3.9)*</td></tr><tr><td> Redundancy</td><td>9.4 (8.8)*</td><td>15.4 (13.9)*</td></tr><tr><td colspan="3">SAD phasing</td></tr><tr><td> BAYES-CC</td><td></td><td>49.1 &#177; 18.5</td></tr><tr><td> Se sites found/expected</td><td></td><td>5/6</td></tr><tr><td> FOM before solvent flattening and density modification</td><td></td><td>0.35</td></tr><tr><td> FOM after solvent flattening and density modification</td><td></td><td>0.69</td></tr><tr><td colspan="3">Refinement</td></tr><tr><td> Resolution limits (A&#778;)</td><td>52.25&#8211;1.49 (1.52&#8211;1.49)*</td><td></td></tr><tr><td> Reflections for R<sub>cryst</sub>/for R<sub>free</sub></td><td>59806/4800</td><td></td></tr><tr><td> R<sub>cryst</sub>&#8225;(%)</td><td>12.4 (20.6)*</td><td></td></tr><tr><td> R<sub>free</sub>&#8225;(%)</td><td>16.4 (23.0)*</td><td></td></tr><tr><td> No. of protein atoms/water atoms</td><td>2307/297</td><td></td></tr><tr><td> Average B factor protein atoms/water atoms (A&#778;<sup>2</sup>)</td><td>21.67/35.34</td><td></td></tr><tr><td> RMSD bond lengths (A&#778;)</td><td>0.005</td><td></td></tr><tr><td> RMSD bond angles (&#176;)</td><td>0.854</td><td></td></tr><tr><td> Twin fraction (operator &#8722;h, &#8722;k, l)</td><td>0.49</td><td></td></tr><tr><td colspan="3">Ramachandran Plot Statistics&#167;</td></tr><tr><td> Favoured region (%)</td><td>99.3</td><td></td></tr><tr><td> Outliers (%)</td><td>0.0</td><td></td></tr></table>
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<table><tr><td>Genetics</td><td>Mechanism</td><td>Incidence</td><td>Reference</td></tr><tr><td><i>Ptch</i>+/&#8722;</td><td>Conventional KO</td><td>14%&#8211;19% by 10 months</td><td>(23, 44, 98)</td></tr><tr><td><i>Ptch</i>+/&#8722;</td><td>Conventional KO; irradiation</td><td>100% by 10 months</td><td>(54, 55)</td></tr><tr><td><i>Ptch</i>+/&#8722;; p53&#8722;/&#8722;</td><td>Conventional KO</td><td>100% by 2&#8211;3 months</td><td>(89)</td></tr><tr><td><i>Ptch</i>+/&#8722;<i>; Ptch2</i>&#177;/&#8722;</td><td>Conventional KO</td><td>17% by 10 months</td><td>(44)</td></tr><tr><td><i>Ptch</i>+/&#8722;</td><td>Conditional KO (GFAP-Cre, Math1-Cre)</td><td>100% by 1&#8211;3 months</td><td>(95)</td></tr><tr><td><i>ND2-SmoA1</i></td><td>TG</td><td>94% by 2 months</td><td>(26, 28)</td></tr><tr><td><i>SmoM2</i></td><td>Conditional TG (GFAP-Cre, Math1-Cre, Olig2-Cre, Tlx-Cre)</td><td>100% by 2&#8211;4 months*</td><td>(69)</td></tr><tr><td><i>Sufu</i>+/&#8722;<i>; p53</i>&#8722;/&#8722;</td><td>Conventional KO</td><td>58% by 10 months</td><td>(42)</td></tr><tr><td><i>Shh</i></td><td>RCAS</td><td>9%&#8211;34% by 3 months</td><td>(7, 49, 60, 61)</td></tr><tr><td><i>Shh; c-myc/Akt/IGF2</i></td><td>RCAS</td><td>23%&#8211;48% by 3 months</td><td>(60, 61)</td></tr><tr><td><i>Shh; n-myc</i></td><td>RCAS</td><td>78% by 3 months</td><td>(7)</td></tr><tr><td><i>Shh; Bcl-2</i></td><td>RCAS</td><td>78% by 3 months</td><td>(49)</td></tr><tr><td><i>Rb</i>&#177;/&#8722;<i>; p53</i>&#8722;/&#8722;</td><td>Conditional KO (GFAP-Cre)</td><td>25%&#8211;100% by 2&#8211;7 months</td><td>(48)</td></tr><tr><td><i>Ink4c</i>&#177;/&#8722;<i>; p53</i>&#177;/&#8722;</td><td>Conventional and conditional KO (Nestin-Cre); irradiation</td><td>20%&#8211;100% by 5 months</td><td>(81)</td></tr><tr><td><i>Ptch</i>+/&#8722;<i>; Ink4c</i>&#177;/&#8722;</td><td>Conventional KO</td><td>40%&#8211;50% by 9 months</td><td>(81)</td></tr><tr><td><i>Lig4</i>&#8722;/&#8722;<i>; p53</i>&#8722;/&#8722;</td><td>Conventional KO</td><td>100% by 2 months</td><td>(43)</td></tr><tr><td><i>Brca2</i>&#8722;/&#8722;<i>; p53</i>&#177;/&#8722;</td><td>Conventional and conditional KO (Nestin-Cre)</td><td>72%&#8211;83% by 4&#8211;8 months</td><td>(17)</td></tr><tr><td><i>Xrcc4</i>&#8722;/&#8722;<i>; p53</i>&#8722;/&#8722;</td><td>Conventional and conditional KO (Nestin-Cre)</td><td>100% by 6 months</td><td>(94)</td></tr></table>
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<table><tr><td>Input variables</td><td>Unit cost (&#163;)</td><td>Source</td><td>Details</td></tr><tr><td colspan="4">Interventions</td></tr><tr><td> Lens extraction implemented as day case</td><td>866</td><td>National schedule of reference costs year 2012&#8211;2013</td><td>Phacoemulsification cataract extraction and lens implant implemented as day case (BZ02)</td></tr><tr><td> Lens extraction implemented as inpatient</td><td>2157</td><td>National schedule of reference costs year 2012&#8211;2013</td><td>Phacoemulsification cataract extraction and lens implant implemented as inpatient (BZ02)</td></tr><tr><td> Laser iridotomy implemented as outpatient</td><td>118</td><td>National schedule of reference costs year 2012&#8211;2013</td><td>Laser iridotomy (minor glaucoma procedures implemented as outpatient (BZ19))</td></tr><tr><td colspan="4">Subsequent procedures</td></tr><tr><td> Lens capsulotomy</td><td>121</td><td>National schedule of reference costs year 2012&#8211;2013</td><td>Lens capsulotomy (BZ04) implemented as outpatient</td></tr><tr><td> Iridoplasty</td><td>172</td><td>National schedule of reference costs year 2012&#8211;2013</td><td>Major glaucoma procedures implemented as outpatient (BZ17)</td></tr><tr><td> Trabeculectomy</td><td>1140</td><td>National schedule of reference costs year 2012&#8211;2013</td><td>Intermediate glaucoma procedures implemented as day case (BZ18)</td></tr><tr><td> Cataract surgery</td><td>866</td><td>National schedule of reference costs year 2012&#8211;2013</td><td>Phacoemulsification cataract extraction and lens implant implemented as day case (BZ02)</td></tr><tr><td colspan="4">Primary healthcare</td></tr><tr><td> General practitioner visit</td><td>43</td><td>PSSRU 2013</td><td>Community-based healthcare staff</td></tr><tr><td> General practitioner visit at home</td><td>53.58</td><td>PSSRU 2013</td><td>Community-based healthcare staff</td></tr><tr><td> General practitioner telephone conversation</td><td>26</td><td>PSSRU 2013</td><td>Community-based healthcare staff</td></tr><tr><td> Community optician and optometrist</td><td>62</td><td>National schedule of reference costs year 2012&#8211;2013</td><td>Follow-up attendance&#8212;non-consultant led outpatient attendances</td></tr><tr><td> District nurse</td><td>12.40</td><td>PSSRU 2013</td><td>Community-based healthcare staff</td></tr><tr><td> Practice nurse</td><td>10.59</td><td>PSSRU 2013</td><td>Community-based healthcare staff</td></tr><tr><td> Clinical support worker nursing (community)</td><td>31</td><td>PSSRU 2013</td><td>Community-based healthcare staff</td></tr><tr><td colspan="4">Secondary healthcare</td></tr><tr><td> Ophthalmologist visit</td><td>80</td><td>National schedule of reference costs year 2012&#8211;2013</td><td>Consultant-led outpatient attendances, follow-up</td></tr></table>
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<table><tr><td>Variable</td><td>Beta</td><td>Standard error</td><td>Significance (p value)</td></tr><tr><td><i>toeC</i></td><td>&#8722;0.197</td><td>0.058</td><td>0.001</td></tr><tr><td><i>lead + 1</i></td><td>0.060</td><td>0.018</td><td>0.001</td></tr><tr><td><i>toeP-maxE</i></td><td>&#8722;0.010</td><td>0.004</td><td>0.014</td></tr><tr><td><i>kneeF</i></td><td>&#8722;0.349</td><td>0.107</td><td>0.001</td></tr><tr><td><i>heelC</i></td><td>0.123</td><td>0.047</td><td>0.009</td></tr></table>
a576abb215c237709f502abf3ba10fb7757c44ac8f7a638d5dd351eb32fae8c0.png
simple
<table><tr><td> </td><td>Total (<i>n =</i> 149)</td></tr><tr><td>Mean age &#177; SD, range</td><td>38.95 &#177; 11.48, 20-77</td></tr><tr><td>Years in the US &#177; SD</td><td>10.24 &#177; 10.12</td></tr><tr><td>Years in Baltimore &#177; SD</td><td>7.56 &#177; 9.09</td></tr><tr><td>Gender</td><td> </td></tr><tr><td>Female</td><td>(98) 65.7%</td></tr><tr><td>Male</td><td>(51) 34.3%</td></tr><tr><td>Latin American Region</td><td> </td></tr><tr><td>Mexican</td><td>(38) 25.5%</td></tr><tr><td>Central American</td><td>(87) 58.4%</td></tr><tr><td>South American</td><td>(24) 16.1%</td></tr><tr><td>Education (<i>n</i> = 146)</td><td> </td></tr><tr><td>None</td><td>(8) 5.48%</td></tr><tr><td>Less than 8 years</td><td>(80) 54.79%</td></tr><tr><td>Some High School</td><td>(19) 13.01%</td></tr><tr><td>High School Graduate</td><td>(15) 10.27%</td></tr><tr><td>Some College</td><td>(16) 10.96%</td></tr><tr><td>Completed college or</td><td> </td></tr><tr><td>higher</td><td>(8) 5.48%</td></tr><tr><td>Food security</td><td> </td></tr><tr><td>No food insecurity</td><td>(74) 49.66%</td></tr><tr><td>Some risk for food</td><td> </td></tr><tr><td>insecurity</td><td>(15) 10.07%</td></tr><tr><td>Moderate food insecurity at the household level</td><td>(31) 20.81%</td></tr><tr><td>Food insecure with some hunger at the household level</td><td>(29) 19.46%</td></tr><tr><td>BMI &lt;30 kg/m<sup>2</sup></td><td>(89) 59.73%</td></tr><tr><td>BMI &gt;30 kg/m<sup>2</sup></td><td>(60) 40.27%</td></tr></table>
35fe0e2ed9ef0990ba10c47dac8e3290f519ed8e6c2832b98e9b0edaa47b09c5.png
simple
<table><tr><td>Substance</td><td>No. of cases</td><td>Percentage</td></tr><tr><td>Hydrofluoric acid</td><td>135</td><td>27.44</td></tr><tr><td>Sulfuric acid</td><td>115</td><td>23.37</td></tr><tr><td>Mixed acid</td><td>41</td><td>8.33</td></tr><tr><td>Sodium (potassium) hydroxide</td><td>33</td><td>6.71</td></tr><tr><td>Nitric acid</td><td>31</td><td>6.30</td></tr><tr><td>Hydrochloric acid</td><td>27</td><td>5.49</td></tr><tr><td>Lye</td><td>18</td><td>3.66</td></tr><tr><td>Phenol</td><td>14</td><td>2.85</td></tr><tr><td>Calcium oxide</td><td>11</td><td>2.24</td></tr><tr><td>Bromine</td><td>10</td><td>2.03</td></tr><tr><td>Bitumen</td><td>8</td><td>1.63</td></tr><tr><td>Acetic acid</td><td>7</td><td>1.42</td></tr><tr><td>Liquid ammonia</td><td>7</td><td>1.42</td></tr><tr><td>Aromatic amino and nitro compounds</td><td>6</td><td>1.22</td></tr><tr><td>Dimethyl sulfate</td><td>5</td><td>1.02</td></tr><tr><td>m-cresol</td><td>4</td><td>0.81</td></tr><tr><td>Yellow phosphorous</td><td>4</td><td>0.81</td></tr><tr><td>Others</td><td>16</td><td>3.25</td></tr></table>
dc3d9f8e981e71558d44a9fc9f70ff5b5b020249d333400bc23279604d9a9433.png
complex
<table><tr><td></td><td colspan="2">Total Group (<i>n</i> = 1526) <sup>1</sup></td><td colspan="2">10&#8211;11 Months (<i>n</i> = 31)</td><td colspan="2">1 Year (<i>n</i> = 411)</td><td colspan="2">2 Years (<i>n</i> = 497)</td><td colspan="2">3 Years (<i>n</i> = 410)</td></tr><tr><td>Food Group</td><td>Mean</td><td>SD</td><td>Mean</td><td>SD</td><td>Mean</td><td>SD</td><td>Mean</td><td>SD</td><td>Mean</td><td>SD</td></tr><tr><td>Potatoes</td><td>29</td><td>27</td><td>25</td><td>25</td><td>31</td><td>28</td><td>28</td><td>27</td><td>28</td><td>26</td></tr><tr><td>Vegetables</td><td>58</td><td>39</td><td>48</td><td>45</td><td>60</td><td>41</td><td>58</td><td>39</td><td>61</td><td>38</td></tr><tr><td>Fruit</td><td>128</td><td>59</td><td>129</td><td>66</td><td>127</td><td>58</td><td>129</td><td>59</td><td>130</td><td>61</td></tr><tr><td>Legumes</td><td>1</td><td>7</td><td>1</td><td>4</td><td>2</td><td>9</td><td>1</td><td>6</td><td>1</td><td>6</td></tr><tr><td>Bread</td><td>100</td><td>35</td><td>57</td><td>29</td><td>86</td><td>33</td><td>103</td><td>33</td><td>114</td><td>33</td></tr><tr><td>Cereals (including rice and pasta)</td><td>29</td><td>29</td><td>21</td><td>26</td><td>30</td><td>30</td><td>28</td><td>28</td><td>30</td><td>28</td></tr><tr><td>Cakes and biscuits</td><td>13</td><td>12</td><td>6</td><td>8</td><td>11</td><td>10</td><td>14</td><td>12</td><td>16</td><td>13</td></tr><tr><td>Nuts, seeds, savory snacks</td><td>1</td><td>5</td><td>0</td><td>0</td><td>1</td><td>3</td><td>1</td><td>5</td><td>2</td><td>6</td></tr><tr><td>Milk and milk products</td><td>358</td><td>158</td><td>176</td><td>217</td><td>333</td><td>162</td><td>363</td><td>143</td><td>383</td><td>147</td></tr><tr><td>Follow-on and young children&#8217;s formula</td><td>63</td><td>135</td><td>411</td><td>226</td><td>111</td><td>162</td><td>35</td><td>87</td><td>15</td><td>61</td></tr><tr><td>Cheese</td><td>14</td><td>11</td><td>14</td><td>10</td><td>15</td><td>11</td><td>14</td><td>11</td><td>15</td><td>12</td></tr><tr><td>Eggs</td><td>3</td><td>8</td><td>1</td><td>4</td><td>2</td><td>7</td><td>3</td><td>8</td><td>3</td><td>8</td></tr><tr><td>Fish</td><td>5</td><td>12</td><td>2</td><td>7</td><td>5</td><td>12</td><td>5</td><td>12</td><td>6</td><td>13</td></tr><tr><td>Meat, meat products, poultry</td><td>44</td><td>25</td><td>24</td><td>23</td><td>40</td><td>24</td><td>44</td><td>22</td><td>49</td><td>26</td></tr><tr><td>Soy and vegetarian products</td><td>8</td><td>49</td><td>0</td><td>2</td><td>8</td><td>54</td><td>8</td><td>47</td><td>10</td><td>55</td></tr><tr><td>Savory spreads</td><td>4</td><td>6</td><td>0</td><td>0</td><td>3</td><td>6</td><td>4</td><td>6</td><td>4</td><td>7</td></tr><tr><td>Mixed dishes</td><td>20</td><td>45</td><td>52</td><td>78</td><td>28</td><td>53</td><td>15</td><td>39</td><td>14</td><td>35</td></tr><tr><td>Soups</td><td>10</td><td>33</td><td>0</td><td>1</td><td>6</td><td>23</td><td>12</td><td>37</td><td>13</td><td>39</td></tr><tr><td>Sugar, confectionary, sweet spreads</td><td>18</td><td>13</td><td>6</td><td>7</td><td>13</td><td>10</td><td>20</td><td>12</td><td>23</td><td>14</td></tr><tr><td>Fat spreads, oils, savory sauces</td><td>24</td><td>11</td><td>11</td><td>8</td><td>20</td><td>10</td><td>24</td><td>11</td><td>27</td><td>12</td></tr><tr><td>Non-alcoholic beverages (excluding milk products)</td><td>427</td><td>222</td><td>182</td><td>145</td><td>367</td><td>204</td><td>446</td><td>209</td><td>508</td><td>220</td></tr></table>
b868c3fb20e63802393409c1481298bf8077a676cc8953c25c3741a4255260e8.png
simple
<table><tr><td>Variable</td><td> </td></tr><tr><td>Sex [no. (%)] n = 634</td><td> </td></tr><tr><td>Female</td><td>388 (61.2)</td></tr><tr><td>Age [mean: years (SD)] n = 634</td><td>56.30 (13.95)</td></tr><tr><td>Nationality [no. (%)] n = 619</td><td> </td></tr><tr><td>German</td><td>610 (98.5)</td></tr><tr><td>Other</td><td>9 (1.5)</td></tr><tr><td>Marital status [no. (%)] n = 634</td><td> </td></tr><tr><td>Single</td><td>82 (12.9)</td></tr><tr><td>Married</td><td>415 (65.5)</td></tr><tr><td>Divorced</td><td>80 (12.6)</td></tr><tr><td>Widowed</td><td>57 (9.0)</td></tr><tr><td>Living with a partner [no. (%)] n = 611</td><td>477 (78.1)</td></tr><tr><td>Persons at household [no. (%)] n = 605</td><td> </td></tr><tr><td>1 person</td><td>87 (14.4)</td></tr><tr><td>2 persons</td><td>297 (49.1)</td></tr><tr><td>3 persons</td><td>114 (18.8)</td></tr><tr><td>4 persons</td><td>74 (12.2)</td></tr><tr><td>&gt; 4 persons</td><td>33 (5.4)</td></tr><tr><td>Level and years of education [no. (%)] n = 632</td><td> </td></tr><tr><td>13/12 years</td><td>100 (15.8)</td></tr><tr><td>10 years</td><td>191 (30.2)</td></tr><tr><td>9 years</td><td>322 (50.9)</td></tr><tr><td>Other graduation</td><td>15 (2.4)</td></tr><tr><td>No qualification</td><td>4 (0.6)</td></tr><tr><td>Employment status [no. (%)] n = 631</td><td> </td></tr><tr><td>Working (full or part-time)</td><td>322 (51.0)</td></tr><tr><td>Reasons for not working [no. (%)] n = 306</td><td> </td></tr><tr><td>Keeping house</td><td>48 (15.7)</td></tr><tr><td>Retired</td><td>228 (74.6)</td></tr><tr><td>Unemployed</td><td>27 (8.8)</td></tr><tr><td>Other</td><td>3 (1.0)</td></tr><tr><td>First time of back pain [no (%)] n = 634</td><td> </td></tr><tr><td>Since &lt; 1 year</td><td>77 (12.2)</td></tr><tr><td>Since 1-2 years</td><td>47 (7.4)</td></tr><tr><td>Since 2-5 years</td><td>86 (13.6)</td></tr><tr><td>Since 5-10 years</td><td>92 (14.5)</td></tr><tr><td>Since &gt; 10 years</td><td>332 (52.4)</td></tr></table>
960fac7e435cae92679a053dadc864faca2dad594c56fd272aaea1873b18561e.png
simple
<table><tr><td>Group</td><td>No of cases<sup>a</sup>(Females)</td><td>Age (years) median; 80% CR<sup>b</sup></td><td>Marsh grade span</td><td>Anti-TG2 (U/mL)<sup>c</sup>median; 80% CR</td><td>Anti-DGP (U/mL)<sup>d</sup>median; 80% CR</td><td>Anti-GL (U/mL)<sup>e</sup>median; 80% CR</td></tr><tr><td>Not CD</td><td>14 (8)</td><td>8.8; 2.2-16</td><td>Marsh 0-1</td><td>0.25; 0.05-11</td><td>0.95; 0.20-20</td><td>0.60; 0.10-2.4</td></tr><tr><td>Normalized CD<sup>f</sup></td><td>15 (13)</td><td>12; 7.3-17</td><td>Marsh 0-1</td><td>3.4; 0.40-28</td><td>2.6; 1.2-9.3</td><td>0.80; 0.20-4.1</td></tr><tr><td>Active CD<sup>g</sup></td><td>20 (12)</td><td>5.9; 1.5-14</td><td>Marsh 2-3C</td><td>201; 4.4-1997</td><td>64; 5.6-392</td><td>16; 2.4-167</td></tr><tr><td>Under investigation<sup>h</sup></td><td>3 (3)</td><td>15; 12-16</td><td>Marsh 0-1</td><td>15; 10-16</td><td>7.1; 2.1-22</td><td>1.9; 0.50-6.5</td></tr></table>
509cd8d19f1957c726bbcc55644be0cfe073beaf2ac6ed6d6c42c5a0101e91fe.png
complex
<table><tr><td>Sample Name</td><td colspan="2">N-Call stretch lengths (bp)</td><td>Mutation found by conventional sequencing</td></tr><tr><td></td><td>*GSEQ</td><td>*sPROFILER</td><td></td></tr><tr><td>mtDNA1</td><td>5, 6, 9, 13</td><td>4, 5</td><td>1 point mutation (in 5 base stretch)</td></tr><tr><td>mtDNA2</td><td>5, 6, 12</td><td>4, 5, 6</td><td>1 point mutation (in 6 base stretch)</td></tr><tr><td>mtDNA3</td><td>5, 6, 7, 11</td><td>4, 10</td><td>1 point mutation, 1 insertion (in 10 base stretch)</td></tr><tr><td>mtDNA4</td><td>5, 6, 11</td><td>4, 5</td><td>1 insertion (in 5 base stretch)</td></tr><tr><td>mtDNA5</td><td>5, 13</td><td>4, 5</td><td>1 insertion (in 5 base stretch)</td></tr><tr><td>mtDNA6</td><td>5, 7, 11</td><td>4, 5, 11</td><td>1 point mutation, 1 insertion (in 11 base stretch)</td></tr><tr><td>mtDNA7</td><td>5, 10</td><td>4</td><td>Entire mtDNA sequenced: 1 point mutation(in 4 N-call stretch)</td></tr><tr><td>mtDNA8</td><td>5, 6, 8, 9, 10, 11, 14, 18, 20</td><td>4, 5, 6, 8, 10,18, 20</td><td>1 point mutation (in 20 base stretch)2 point mutations (in 18 base stretch)1 point mutation (in 10 base stretch)</td></tr><tr><td>mtDNA9</td><td>5, 6, 9, 11, 12</td><td>4, 5, 8</td><td>2 insertions (in 8 base stretch)</td></tr><tr><td>mtDNA10</td><td>5, 7, 8, 9, 10</td><td>4, 5, 7, 9</td><td>1 point mutation (in 9 base stretch)</td></tr><tr><td>mtDNA11</td><td>5, 6, 8, 9, 12</td><td>4, 5, 8</td><td>1 point mutation (in 8 base stretch)</td></tr><tr><td>mtDNA12</td><td>5, 9, 10</td><td>4, 9</td><td>1 insertion (in 9 base stretch)</td></tr><tr><td>mtDNA13</td><td>5, 7, 8, 9, 10</td><td>4, 5, 9</td><td>1 point mutation (in 9 base stretch)</td></tr><tr><td>mtDNA14</td><td>5, 8, 10</td><td>4, 5</td><td>No point mutation or indel (in 5 base stretch)</td></tr><tr><td>mtDNA15</td><td>5, 6, 7, 11</td><td>4, 5</td><td>No point mutation or indel (in 5 base stretch)</td></tr><tr><td>mtDNA16</td><td>5, 7, 8, 10, 11</td><td>4, 6</td><td>No point mutation or indel (in 6 base stretch)</td></tr></table>
a0a2f215ba82374aa366c246b3e0edbe83365baf4da49eefa7debf370105ce26.png
simple
<table><tr><td>Country</td><td>VTE patients %</td><td>General healthy population %</td><td>References</td></tr><tr><td>Lebanon</td><td>19.2</td><td>1.3&#8211;3.6</td><td>94&#8211;99</td></tr><tr><td>Palestine</td><td>---</td><td>6.5&#8211;11.7</td><td>74,100</td></tr><tr><td>Egypt</td><td>23.75</td><td>3.33</td><td>101</td></tr><tr><td>Tunisia</td><td>3.2</td><td>0&#8211;7.4</td><td>74,79&#8211;99,102&#8211;105</td></tr><tr><td>Libya</td><td>---</td><td>2.2</td><td>74</td></tr><tr><td>Algeria</td><td>6.0</td><td>1.8</td><td>106</td></tr><tr><td>Morocco</td><td>---</td><td>2.4&#8211;5.5</td><td>74,107&#8211;109</td></tr><tr><td>Spain</td><td>2.7&#8211;17.2</td><td>2.9&#8211;6.5</td><td>31&#8211;35</td></tr><tr><td>France</td><td>4.6</td><td>1.0&#8211;3.1</td><td>36&#8211;39</td></tr><tr><td>Italy</td><td>4.3&#8211;15.9</td><td>2.3&#8211;5.7</td><td>40&#8211;47</td></tr><tr><td>Slovenia</td><td>5.8&#8211;11.3</td><td>3.1&#8211;4.8</td><td>48,49</td></tr><tr><td>Croatia</td><td>8.0&#8211;8.3</td><td>2.5&#8211;4.0</td><td>50&#8211;53</td></tr><tr><td>Serbia</td><td>11.4</td><td>2.3&#8211;6.0</td><td>54&#8211;56</td></tr><tr><td>Greece</td><td>6.8&#8211;10.1</td><td>2.0&#8211;2.7</td><td>57&#8211;61</td></tr><tr><td>Turkey</td><td>4.0&#8211;10.5</td><td>0.7&#8211;8.0</td><td>62&#8211;65</td></tr><tr><td>Cyprus</td><td>---</td><td>2.0&#8211;7.8</td><td>66,67</td></tr></table>
1b6ca2e06f264e23841ff8a91305e3a7a4761eb067dfe796bca7b8b14166cc19.png
complex
<table><tr><td colspan="2"></td><td colspan="6">Serum resistin level (ng/ml)</td></tr><tr><td colspan="2"></td><td>1.5-6.7</td><td>6.8-8.7</td><td>8.8-11.5</td><td>11.6-16.2</td><td>16.3-90.2</td><td>P value for trend</td></tr><tr><td colspan="2">No cardiovascular disease, n</td><td>628</td><td>610</td><td>604</td><td>595</td><td>589</td><td></td></tr><tr><td colspan="2">Cardiovascular disease, n</td><td>20</td><td>23</td><td>37</td><td>41</td><td>54</td><td></td></tr><tr><td colspan="2"> Model 1-adjusted OR (95% CI)</td><td>1(referent)</td><td>0.95(0.51-1.76)</td><td>1.55(0.88-2.74)</td><td>1.51(0.86-2.64)</td><td>1.64(0.95-2.84)</td><td>0.02</td></tr><tr><td colspan="2"> Model 2-adjusted OR (95% CI)</td><td>1(referent)</td><td>0.88(0.47-1.66)</td><td>1.56(0.88-2.77)</td><td>1.39(0.79-2.45)</td><td>1.52(0.87-2.66)</td><td>0.04</td></tr><tr><td colspan="2"> Model 3-adjusted OR (95% CI)</td><td>1(referent)</td><td>0.87(0.46-1.63)</td><td>1.53(0.86-2.72)</td><td>1.36(0.77-2.41)</td><td>1.47(0.84-2.58)</td><td>0.06</td></tr><tr><td colspan="2">Ischemic stroke, n</td><td>4</td><td>11</td><td>17</td><td>25</td><td>33</td><td></td></tr><tr><td colspan="2"> Model 1-adjusted OR (95% CI)</td><td>1(referent)</td><td>2.21(0.70-7.05)</td><td>3.54(1.17-10.67)</td><td>4.48(1.53-13.09)</td><td>4.70(1.62-13.61)</td><td>&lt; 0.001</td></tr><tr><td colspan="2"> Model 2-adjusted OR (95% CI)</td><td>1(referent)</td><td>1.94(0.60-6.23)</td><td>3.36(1.11-10.22)</td><td>3.87(1.31-11.39)</td><td>3.97(1.36-11.61)</td><td>0.002</td></tr><tr><td colspan="2"> Model 3-adjusted OR (95% CI)</td><td>1(referent)</td><td>1.84(0.57-5.96)</td><td>3.26(1.07-9.92)</td><td>3.66(1.24-10.79)</td><td>3.59(1.22-10.55)</td><td>0.006</td></tr><tr><td colspan="2">Hemorrhagic stroke, n</td><td>9</td><td>7</td><td>9</td><td>7</td><td>11</td><td></td></tr><tr><td colspan="2"> Model 1-adjusted OR (95% CI)</td><td>1(referent)</td><td>0.70(0.26-1.92)</td><td>0.93(0.36-2.37)</td><td>0.66(0.24-1.80)</td><td>0.89(0.36-2.23)</td><td>0.83</td></tr><tr><td colspan="2"> Model 2-adjusted OR (95% CI)</td><td>1(referent)</td><td>0.70(0.26-1.92)</td><td>1.02(0.39-2.64)</td><td>0.70(0.25-1.93)</td><td>0.98(0.38-2.50)</td><td>0.99</td></tr><tr><td colspan="2"> Model 3-adjusted OR (95% CI)</td><td>1(referent)</td><td>0.69(0.25-1.90)</td><td>1.00(0.39-2.60)</td><td>0.69(0.25-1.90)</td><td>0.96(0.37-2.46)</td><td>0.97</td></tr><tr><td colspan="2">Coronary heart disease, n</td><td>9</td><td>6</td><td>12</td><td>11</td><td>17</td><td></td></tr><tr><td colspan="2"> Model 1-adjusted OR (95% CI)</td><td>1(referent)</td><td>0.55(0.19-1.57)</td><td>1.13(0.47-2.73)</td><td>0.88(0.36-2.18)</td><td>1.11(0.48-2.59)</td><td>0.48</td></tr><tr><td colspan="2"> Model 2-adjusted OR (95% CI)</td><td>1(referent)</td><td>0.48(0.16-1.41)</td><td>1.20(0.49-2.95)</td><td>0.79(0.31-1.99)</td><td>1.05(0.44-2.50)</td><td>0.53</td></tr><tr><td colspan="2"> Model 3-adjusted OR (95% CI)</td><td>1(referent)</td><td>0.49(0.17-1.42)</td><td>1.21(0.49-2.97)</td><td>0.80(0.32-2.02)</td><td>1.09(0.45-2.59)</td><td>0.49</td></tr></table>
c5dc93881ef83de0b8acb194b132971c89c49c026bd65f592397ab3a548d13ed.png
simple
<table><tr><td>Spot No.</td><td>Protein Identity</td><td>Symbol</td><td>MW (kDa)</td></tr><tr><td>1</td><td>Aldehyde dehydrogenase,mitochondrial precursor</td><td>Aldh2</td><td>56</td></tr><tr><td>2</td><td>Protein disulfide-isomerase A3precursor</td><td>Pdia3/ERP57</td><td>57</td></tr><tr><td>3</td><td>Proteasome subunit alpha type 6</td><td>Psma6</td><td>27</td></tr><tr><td>4</td><td>Peptidyl-prolyl cis-transisomerase A</td><td>Ppia/CYPA</td><td>17</td></tr></table>
9d8bcce936a4994a02242c02a52e425ad9532d8d473c1cd327ea8f4f26a4403c.png
complex
<table><tr><td></td><td colspan="3">DMC</td><td colspan="3">DMR</td><td colspan="3">CG</td></tr><tr><td></td><td>CN</td><td>SPE</td><td>MNE</td><td>CN</td><td>SPE</td><td>MNE</td><td>CN</td><td>SPE</td><td>MNE</td></tr><tr><td>Proposed</td><td>5,593.9</td><td>0.958</td><td>0.039</td><td>5,305.3</td><td>0.939</td><td>0.055</td><td>4,893.2</td><td>0.942</td><td>0.054</td></tr><tr><td>SMETANA</td><td>5,164.5</td><td>0.926</td><td>0.068</td><td>4,900.6</td><td>0.916</td><td>0.078</td><td>4,846.2</td><td>0.949</td><td>0.048</td></tr><tr><td>BEAMS</td><td>5,076.5</td><td>0.826</td><td>0.150</td><td>5,176.7</td><td>0.840</td><td>0.138</td><td>5,441.2</td><td>0.870</td><td>0.112</td></tr><tr><td>PINALOG</td><td>3,779</td><td>0.726</td><td>0.274</td><td>3,533.4</td><td>0.683</td><td>0.317</td><td>4,325</td><td>0.788</td><td>0.212</td></tr><tr><td>IsoRankN</td><td>3,816.5</td><td>0.827</td><td>0.163</td><td>3,905.2</td><td>0.836</td><td>0.155</td><td>3,863.2</td><td>0.832</td><td>0.159</td></tr></table>
02e8dd5116db6e8915188a38b4a83f464636baceb554bd46060513829a0f8c14.png
complex
<table><tr><td rowspan="2">Line</td><td rowspan="2">Wt (g)</td><td colspan="2">Temperature measures</td><td colspan="2">Observation measures</td><td rowspan="2">SqX</td><td rowspan="2">Rise</td><td rowspan="2">SG</td><td rowspan="2">TIS</td><td rowspan="2">D/U</td></tr><tr><td>Preax (&#176;C)</td><td>Postax (&#176;C)</td><td>Preamb (&#176;C)</td><td>Postamb (&#176;C)</td></tr><tr><td>High</td><td>19.6</td><td>35.2</td><td>33.8</td><td>21.3</td><td>21.5</td><td>1.1</td><td>0.1</td><td>0.2</td><td>0.5</td><td>0.1</td></tr><tr><td>SEM</td><td>0.83</td><td>0.35</td><td>0.16</td><td>0.22</td><td>0.25</td><td>0.29</td><td>0.05</td><td>0.08</td><td>0.14</td><td>0.07</td></tr><tr><td>Rand</td><td>22.1</td><td>36.1</td><td>33.6</td><td>21.3</td><td>21.3</td><td>3.4</td><td>0.6</td><td>0.9</td><td>0.64</td><td>0.4</td></tr><tr><td>SEM</td><td>0.9</td><td>0.13</td><td>0.19</td><td>0.11</td><td>0.31</td><td>1.6</td><td>0.29</td><td>0.36</td><td>0.34</td><td>0.16</td></tr><tr><td>Low</td><td>18.8</td><td>35.5</td><td>34.0</td><td>21.3</td><td>21.5</td><td>1.1</td><td>0.1</td><td>0.2</td><td>0.3</td><td>0.0</td></tr><tr><td>SEM</td><td>0.99</td><td>0.19</td><td>0.26</td><td>0.22</td><td>0.28</td><td>0.36</td><td>0.08</td><td>0.11</td><td>0.14</td><td>0.00</td></tr><tr><td><i>F</i></td><td>3.06</td><td>2.77</td><td>0.88</td><td>0.04</td><td>0.10</td><td>2.64</td><td>4.20</td><td>4.54</td><td>0.55</td><td>5.43</td></tr><tr><td><i>P</i></td><td>0.066</td><td>0.083</td><td>ns</td><td>ns</td><td>ns</td><td>0.092</td><td>0.027</td><td>0.021</td><td>ns</td><td>0.011</td></tr><tr><td>Bonf results</td><td></td><td></td><td></td><td></td><td></td><td></td><td>R &gt; H*</td><td>R &gt; H*</td><td></td><td>R &gt; Ht</td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td>R &gt; Lt</td><td>R &gt; Lt</td><td></td><td>R &gt; L**</td></tr></table>
decd374c62d1c5983d0edf479d8be24cf3b3f40258ce64ecec3df83f7b485575.png
simple
<table><tr><td>Criteria</td><td>Conventional</td><td>Sutureless</td></tr><tr><td>Operation duration</td><td>Longer</td><td>Shorter</td></tr><tr><td>Blood less during operation</td><td>More probable</td><td>Less probable</td></tr><tr><td>Safe and reliable</td><td>Less probable</td><td>More probable</td></tr><tr><td>Resistance of anastomosis (mechanical and pressure testing)</td><td>Less probable</td><td>More probable</td></tr><tr><td>Operative and post-operative complications</td><td>More probable</td><td>Less probable</td></tr><tr><td>Stress of surgeon and patient</td><td>More</td><td>Less</td></tr><tr><td>Reduce the cost of treatment</td><td>More</td><td>Less</td></tr></table>
b7645552301878c80fba5de6539ed830b3e9b19aa8f776ff1d6965955833ae8b.png
complex
<table><tr><td rowspan="2">Institution</td><td colspan="7">Checklists</td></tr><tr><td>Step 1</td><td>Step 2</td><td>Step 3</td><td>Step 4</td><td>Step 5</td><td>Step 6</td><td>Step 7</td></tr><tr><td>A</td><td></td><td></td><td>4</td><td>1</td><td></td><td>2</td><td>2</td></tr><tr><td>B</td><td></td><td></td><td>3</td><td></td><td>1</td><td>2</td><td>5</td></tr><tr><td>C</td><td></td><td></td><td>1</td><td>2</td><td></td><td></td><td>1</td></tr><tr><td>D</td><td>1</td><td>1</td><td>2</td><td>1</td><td>2</td><td>2</td><td>4</td></tr><tr><td>E</td><td></td><td></td><td>3</td><td></td><td>4</td><td>3</td><td>3</td></tr><tr><td>F</td><td></td><td></td><td></td><td></td><td></td><td></td><td>3</td></tr><tr><td>G</td><td>2</td><td>2</td><td>2</td><td>2</td><td>4</td><td>4</td><td>5</td></tr><tr><td>Total number of failure cases at each checklist</td><td>3</td><td>3</td><td>15</td><td>6</td><td>11</td><td>13</td><td>23</td></tr></table>
feb992b9f9f6bb39e5c42070223eac5493b301b5a8701ee35a8094eb6a299779.png
complex
<table><tr><td rowspan="3">No</td><td rowspan="3">Preparation</td><td rowspan="3">Dosage from</td><td rowspan="3">Trade name / Manufacturer</td><td colspan="2">Dissolution time (mins, n=3)</td></tr><tr><td>pH 1.2</td><td>pH 5.8</td></tr><tr><td>1</td><td>Ferrous sulphate</td><td>Tablet</td><td>NAAlmus</td><td>48 &#177; 4</td><td>362 &#177; 16</td></tr><tr><td>2</td><td>Ferrous fumarate</td><td>Tablet</td><td>FersamalGoldshield</td><td>57 &#177; 6</td><td>85 &#177; 9</td></tr><tr><td>3</td><td>Ferrous gluconate</td><td>Tablet</td><td>NAZanza</td><td>64 &#177; 4</td><td>208 &#177; 12</td></tr><tr><td>4</td><td>Ferrous sulphate plus ascorbic acid</td><td>Controlled release tablet</td><td>Ferrograd CTeopharma</td><td>256 &#177; 8</td><td>&#8211;</td></tr><tr><td>5</td><td>Ferrous fumarate plus minerals and vitamins</td><td>Sustained release capsule</td><td>Ferroglobin B12Vitabiotics</td><td>274 &#177; 8</td><td>388 &#177; 11</td></tr></table>
204c25fcfd6c9c3bc896b6f22797f06914066afe33f4b6b7057a2a5065f5de07.png
complex
<table><tr><td></td><td colspan="2">Multiple Sexual Partners</td><td colspan="2">Paying Sex</td></tr><tr><td></td><td><i>n</i></td><td>%</td><td><i>n</i></td><td>%</td></tr><tr><td>Used condom</td><td>384</td><td>33.9</td><td>469</td><td>58.5</td></tr><tr><td>Did not use condom</td><td>748</td><td>66.1</td><td>333</td><td>41.5</td></tr></table>
5b7804314b5d8208602f414d3b780117778b902555a2897da163b14b22b2c7a5.png
simple
<table><tr><td>miRNA</td><td>Fold change (cytokine versus normal group)</td><td><i>p</i> value</td></tr><tr><td>hsa-miR-665</td><td>4.64</td><td>0.01</td></tr><tr><td>hsa-miR-146b-5p</td><td>4.13</td><td>0.04</td></tr><tr><td>hsa-miR-155-5p</td><td>4.00</td><td>&lt;0.01</td></tr><tr><td>hsa-miR-19b-3p</td><td>2.10</td><td>0.01</td></tr><tr><td>hsa-miR-543</td><td>2.02</td><td>0.01</td></tr><tr><td>hsa-miR-4430</td><td>0.49</td><td>0.03</td></tr><tr><td>hsa-mir-4530</td><td>0.47</td><td>0.01</td></tr><tr><td>hsa-miR-6847-5p</td><td>0.44</td><td>0.02</td></tr><tr><td>hsa-miR-4497</td><td>0.42</td><td>0.02</td></tr><tr><td>hsa-miR-4732-5p</td><td>0.40</td><td>0.02</td></tr><tr><td>hsa-miR-4640-5p</td><td>0.34</td><td>0.02</td></tr><tr><td>hsa-miR-6886-5p</td><td>0.33</td><td>0.02</td></tr><tr><td>hsa-miR-3177-3p</td><td>0.32</td><td>&lt;0.01</td></tr><tr><td>hsa-miR-601</td><td>0.27</td><td>0.02</td></tr><tr><td>hsa-miR-4271</td><td>0.18</td><td>&lt;0.01</td></tr></table>
b38e725856be3a5755053b547865ec0a45f8d3a5c30c1002d18d6ae9f9e43b51.png
complex
<table><tr><td colspan="2">Items</td><td>1) Basic science content objectives were made clear to students</td><td>2) Basic science content was sufficiently integrated across basic science courses</td><td>3) Basic science content objectives and examination content matched closely</td><td>4) Basic science content had sufficient illustrations of clinical relevance</td><td>5) Basic science content provided relevant preparation for clerkships</td></tr><tr><td rowspan="2">% of agree</td><td>TC</td><td>57.9</td><td>37.9</td><td>56.6</td><td>43.4</td><td>65.5</td></tr><tr><td>RC</td><td>78.8</td><td>72.7</td><td>81.8</td><td>69.7</td><td>72.7</td></tr><tr><td rowspan="2">TC</td><td>Mean</td><td>3.48</td><td>3.20</td><td>3.46</td><td>3.26</td><td>3.64</td></tr><tr><td>SD</td><td>0.973</td><td>0.925</td><td>0.936</td><td>0.993</td><td>0.926</td></tr><tr><td rowspan="2">RC</td><td>Mean</td><td>4.03</td><td>3.91</td><td>4.03</td><td>3.85</td><td>3.91</td></tr><tr><td>SD</td><td>0.770</td><td>0.843</td><td>0.728</td><td>0.906</td><td>0.843</td></tr><tr><td colspan="2">U (<i>p</i>)</td><td>*1,657.5 (0.003)</td><td>*1,401.5 (&lt;0.0001)</td><td>*1,587.5(0.001)</td><td>*1,616.5(0.002)</td><td>2,041.0(0.153)</td></tr><tr><td colspan="2">Cohen&#8217;s <i>d</i></td><td>&#8722;0.627</td><td>&#8722;0.802</td><td>&#8722;0.680</td><td>&#8722;0.621</td><td>&#8722;0.305</td></tr></table>
c27f8014415d9781fbb792904b7d10a276188019d992ae8328a4e8a7d9bb83b0.png
simple
<table><tr><td>Reported Adverse event</td><td>No of related AEs (no. of patients)</td><td>CTCAE-grade (range)</td></tr><tr><td>Fever</td><td>8 (5)</td><td>1&#8211;2</td></tr><tr><td>Chills</td><td>2 (2)</td><td>1</td></tr><tr><td>Rash</td><td>1 (1)</td><td>1</td></tr><tr><td>Hypotension</td><td>1 (1)</td><td>2</td></tr></table>
fc45aa23dab0719736cbc0b336f05ab29bce004df6c1b7e7a8e105c0559d65ea.png
complex
<table><tr><td> </td><td colspan="3">+20% Fat group (<i>N</i> = 14)</td><td colspan="3">&#8722;20% Fat group (<i>N</i> = 17)</td></tr><tr><td> </td><td>Pre</td><td>Post</td><td><i>P</i> value</td><td>Pre</td><td>Post</td><td><i>P</i> value</td></tr><tr><td>Height (m)</td><td>1.76 &#177; 0.01</td><td>1.76 &#177; 0.01</td><td>&#8212;</td><td>1.74 &#177; 0.02</td><td>1.74 &#177; 0.02</td><td>&#8212;</td></tr><tr><td>Mass (kg)</td><td>78.1 &#177; 2.7</td><td>78.0 &#177; 3.0</td><td>.665</td><td>65.8 &#177; 2.4</td><td>66.7 &#177; 2.4</td><td>.007*</td></tr><tr><td>BMI (m/kg)</td><td>25.4 &#177; 0.9</td><td>25.3 &#177; 1.0</td><td>.664</td><td>21.3 &#177; 0.8</td><td>21.6 &#177; 0.9</td><td>.007*</td></tr><tr><td>LTM (kg)</td><td>56.4 &#177; 1.7</td><td>57.1 &#177; 1.7</td><td>.027*</td><td>56.3 &#177; 1.5</td><td>57.1 &#177; 1.5</td><td>.014*</td></tr><tr><td>FM (kg)</td><td>23.4 &#177; 2.4</td><td>22.71 &#177; 2.4</td><td>.02*</td><td>6.7 &#177; 0.9</td><td>7.0 &#177; 1.0</td><td>.143</td></tr><tr><td>% Total Body Fat</td><td>28.6 &#177; 1.5</td><td>27.7 &#177; 1.6</td><td>.009*</td><td>10.1 &#177; 1.1</td><td>10.4 &#177; 1.1</td><td>.269</td></tr><tr><td>% Fat Trunk</td><td>33.7 &#177; 1.3</td><td>32.2 &#177; 1.4</td><td>.001*</td><td>11.8 &#177; 1.5</td><td>12.1 &#177; 1.5</td><td>.299</td></tr><tr><td>% Fat ARM</td><td>22.3 &#177; 2.4</td><td>22.0 &#177; 2.4</td><td>.619</td><td>6.6 &#177; 0.8</td><td>6.8 &#177; 1.1</td><td>.757</td></tr><tr><td>% FatLEG</td><td>24.3 &#177; 2.7</td><td>24.0 &#177; 2.8</td><td>.269</td><td>9.7 &#177; 1.2</td><td>9.3 &#177; 0.9</td><td>.578</td></tr><tr><td>LTM ARM (kg)</td><td>6.9 &#177; 0.3</td><td>6.9 &#177; 0.3</td><td>.746</td><td>6.8 &#177; 0.3</td><td>6.9 &#177; 0.3</td><td>.189</td></tr><tr><td>LTM LEG (kg)</td><td>18.4&#177;.0.6</td><td>18.6 &#177; 0.6</td><td>.660</td><td>18.5 &#177; 0.7</td><td>19.1 &#177; 0.8</td><td>.014*</td></tr><tr><td>LTM TRK (kg)</td><td>27.3 &#177; 1.1</td><td>27.8 &#177; 0.9</td><td>.268</td><td>27.0 &#177; 0.8</td><td>27.0 &#177; 0.7</td><td>.898</td></tr></table>
c76e603f641921e939c0a1d1f324a3601e58eafd0362a5d6e387ebf5d504e370.png
simple
<table><tr><td><i>No.</i></td><td><i>Gene ID</i></td><td>P<i>-value</i></td><td><i>Fold difference (sensitive vs resistant)</i></td><td><i>Fold difference (description)</i></td></tr><tr><td>1</td><td><i>SLC1A4</i></td><td>0.00004</td><td>2.695</td><td>Sensitive up vs resistant</td></tr><tr><td>2</td><td><i>NEK3</i></td><td>0.00006</td><td>&#8722;2.544</td><td>Sensitive down vs resistant</td></tr><tr><td>3</td><td><i>GLA</i></td><td>0.00007</td><td>2.073</td><td>Sensitive up vs resistant</td></tr><tr><td>4</td><td><i>AKNA</i></td><td>0.00020</td><td>4.043</td><td>Sensitive up vs resistant</td></tr><tr><td>5</td><td><i>ARHGAP27</i></td><td>0.00035</td><td>3.599</td><td>Sensitive up vs resistant</td></tr><tr><td>6</td><td><i>LY96</i></td><td>0.00045</td><td>3.796</td><td>Sensitive up vs resistant</td></tr><tr><td>7</td><td><i>DLST</i></td><td>0.00070</td><td>&#8722;2.001</td><td>Sensitive down vs resistant</td></tr><tr><td>8</td><td><i>MSL3</i></td><td>0.00132</td><td>2.237</td><td>Sensitive up vs resistant</td></tr><tr><td>9</td><td><i>SQRDL</i></td><td>0.00134</td><td>3.906</td><td>Sensitive up vs resistant</td></tr><tr><td>10</td><td><i>NCAPH2</i></td><td>0.00206</td><td>2.129</td><td>Sensitive up vs resistant</td></tr><tr><td>11</td><td><i>PLK1S1</i></td><td>0.00262</td><td>&#8722;2.035</td><td>Sensitive down vs resistant</td></tr><tr><td>12</td><td><i>MRI1</i></td><td>0.00284</td><td>2.448</td><td>Sensitive up vs resistant</td></tr><tr><td>13</td><td><i>TARS2</i></td><td>0.00294</td><td>&#8722;2.083</td><td>Sensitive down vs resistant</td></tr><tr><td>14</td><td><i>OBFC2A</i></td><td>0.00307</td><td>3.756</td><td>Sensitive up vs resistant</td></tr><tr><td>15</td><td><i>RAB8A</i></td><td>0.00319</td><td>2.097</td><td>Sensitive up vs resistant</td></tr><tr><td>16</td><td><i>ABHD2</i></td><td>0.00363</td><td>2.475</td><td>Sensitive up vs resistant</td></tr><tr><td>17</td><td><i>LMF2</i></td><td>0.00364</td><td>2.558</td><td>Sensitive up vs resistant</td></tr><tr><td>18</td><td><i>C6orf48</i></td><td>0.00367</td><td>&#8722;2.462</td><td>Sensitive down vs resistant</td></tr><tr><td>19</td><td><i>TUBA4A</i></td><td>0.00400</td><td>2.189</td><td>Sensitive up vs resistant</td></tr><tr><td>20</td><td><i>HSPA1B</i></td><td>0.00467</td><td>&#8722;2.335</td><td>Sensitive down vs resistant</td></tr><tr><td>21</td><td><i>TFEB</i></td><td>0.00471</td><td>&#8722;2.302</td><td>Sensitive down vs resistant</td></tr><tr><td>22</td><td><i>RNF170</i></td><td>0.00504</td><td>&#8722;2.34</td><td>Sensitive down vs resistant</td></tr><tr><td>23</td><td><i>SOX12</i></td><td>0.00569</td><td>&#8722;2.281</td><td>Sensitive down vs resistant</td></tr><tr><td>24</td><td><i>ZNFX1-AS1</i></td><td>0.00604</td><td>&#8722;2.482</td><td>Sensitive down vs resistant</td></tr><tr><td>25</td><td><i>C2orf69</i></td><td>0.00622</td><td>2.038</td><td>Sensitive up vs resistant</td></tr><tr><td>26</td><td><i>PTPN18</i></td><td>0.00634</td><td>2.635</td><td>Sensitive up vs resistant</td></tr><tr><td>27</td><td><i>PRKD2</i></td><td>0.00641</td><td>3.5</td><td>Sensitive up vs resistant</td></tr><tr><td>28</td><td><i>KHK</i></td><td>0.00662</td><td>2.484</td><td>Sensitive up vs resistant</td></tr><tr><td>29</td><td><i>PAQR6</i></td><td>0.00710</td><td>&#8722;3.645</td><td>Sensitive down vs resistant</td></tr><tr><td>30</td><td><i>HIST1H2BD</i></td><td>0.00763</td><td>&#8722;4.514</td><td>Sensitive down vs resistant</td></tr><tr><td>31</td><td><i>CERK</i></td><td>0.00776</td><td>2.481</td><td>Sensitive up vs resistant</td></tr><tr><td>32</td><td><i>UBE2K</i></td><td>0.00806</td><td>&#8722;2.048</td><td>Sensitive down vs resistant</td></tr><tr><td>33</td><td><i>LYSMD1</i></td><td>0.00814</td><td>&#8722;2.379</td><td>Sensitive down vs resistant</td></tr><tr><td>34</td><td><i>GPSM3</i></td><td>0.00832</td><td>5.309</td><td>Sensitive up vs resistant</td></tr><tr><td>35</td><td><i>MNAT1</i></td><td>0.00906</td><td>&#8722;2.144</td><td>Sensitive down vs resistant</td></tr><tr><td>36</td><td><i>WFS1</i></td><td>0.00911</td><td>2.397</td><td>Sensitive up vs resistant</td></tr><tr><td>37</td><td><i>MYH9</i></td><td>0.00923</td><td>2.011</td><td>Sensitive up vs resistant</td></tr><tr><td>38</td><td><i>CYTIP</i></td><td>0.00925</td><td>2.855</td><td>Sensitive up vs resistant</td></tr><tr><td>39</td><td><i>SVIP</i></td><td>0.00928</td><td>2.148</td><td>Sensitive up vs resistant</td></tr><tr><td>40</td><td><i>ARSA</i></td><td>0.00931</td><td>3.3</td><td>Sensitive up vs resistant</td></tr><tr><td>41</td><td><i>SFMBT2</i></td><td>0.00947</td><td>2.111</td><td>Sensitive up vs resistant</td></tr><tr><td>42</td><td><i>POLR3GL</i></td><td>0.00958</td><td>&#8722;2.251</td><td>Sensitive down vs resistant</td></tr></table>
7f818d17e84341a2c0b2bf6e28c489b8645dd99b15ed24d66c191d01e3cc6f87.png
complex
<table><tr><td rowspan="2">Sample no.</td><td rowspan="2">Number of subjects</td><td colspan="3">RhD</td><td rowspan="2">RhCcEe</td><td rowspan="2"><i>RHD </i>zygosity*</td><td rowspan="2"><i>RHD </i>allele</td></tr><tr><td>Micro-plate</td><td>IAT</td><td>Adsorption/elute</td></tr><tr><td>13001-13030</td><td>30</td><td>&#8211;</td><td>&#8211;</td><td>+</td><td>Ccee</td><td><i>RHD</i>+/<i>RHD-</i></td><td><i>RHD</i>1227A</td></tr><tr><td>13031-13033</td><td>3</td><td>&#8211;</td><td>&#8211;</td><td>+</td><td>CCee</td><td><i>RHD</i>+/<i>RHD-</i></td><td><i>RHD</i>1227A</td></tr><tr><td>13034-13035</td><td>2</td><td>&#8211;</td><td>&#8211;</td><td>+</td><td>Ccee</td><td><i>RHD</i>+/<i>RHD+</i></td><td><i>RHD</i>1227A</td></tr><tr><td>13036</td><td>1</td><td>&#8211;</td><td>&#8211;</td><td>+</td><td>CCEe</td><td><i>RHD</i>+/<i>RHD-</i></td><td><i>RHD</i>1227A</td></tr><tr><td>13037</td><td>1</td><td>&#8211;</td><td>&#8211;</td><td>+</td><td>CcEe</td><td><i>RHD</i>+/<i>RHD-</i></td><td><i>RHD</i>1227A</td></tr><tr><td>13038</td><td>1</td><td>&#8211;</td><td>&#8211;</td><td>+</td><td>Ccee</td><td><i>RHD</i>+/<i>RHD-</i></td><td><i>RHD</i>-<i>CE</i> (2-5)-D</td></tr><tr><td>13039</td><td>1</td><td>&#8211;</td><td>&#8211;</td><td>+</td><td>Ccee</td><td><i>RHD</i>+/<i>RHD-</i></td><td><i>RHD</i>-CE (4-7)-D</td></tr><tr><td>13040</td><td>1</td><td>&#8211;</td><td>&#8211;</td><td>+</td><td>Ccee</td><td><i>RHD</i>+/<i>RHD+</i></td><td><i>RHD</i>93T&gt;A</td></tr><tr><td>13041</td><td>1</td><td>&#8211;</td><td>&#8211;</td><td>+</td><td>Ccee</td><td><i>RHD</i>+/<i>RHD-</i></td><td><i>RHD</i>838G&gt;A</td></tr></table>
155bebd936ff645a1c8e9a6a7b894b5e4baf1886ab7d7466ce1ce6b6dfce1361.png
complex
<table><tr><td>Trial number andaverage error</td><td>User 1</td><td>User 2</td><td>User 3</td><td>User 4</td><td>User 5</td><td>User 6</td><td>User 7</td><td>User 8</td><td>User 9</td><td>User 10</td></tr><tr><td>1st trial</td><td>0.59</td><td>0.46</td><td>0.76</td><td>0.51</td><td>0.82</td><td>0.78</td><td>0.56</td><td>0.84</td><td>0.93</td><td>0.72</td></tr><tr><td>2nd trial</td><td>0.66</td><td>0.65</td><td>0.47</td><td>0.60</td><td>0.79</td><td>0.77</td><td>0.68</td><td>0.85</td><td>0.90</td><td>0.90</td></tr><tr><td>3rd trial</td><td>0.84</td><td>0.55</td><td>0.53</td><td>0.74</td><td>0.58</td><td>0.66</td><td>0.74</td><td>0.32</td><td>0.67</td><td>0.84</td></tr><tr><td>4th trial</td><td>0.64</td><td>0.87</td><td>0.69</td><td>0.57</td><td>0.82</td><td>0.75</td><td>0.74</td><td>0.87</td><td>0.76</td><td>1.00</td></tr><tr><td>5th trial</td><td>0.66</td><td>0.53</td><td>0.61</td><td>0.59</td><td>0.92</td><td>0.52</td><td>0.98</td><td>0.86</td><td>0.43</td><td>0.51</td></tr><tr><td>Average</td><td>0.68</td><td>0.61</td><td>0.61</td><td>0.60</td><td>0.79</td><td>0.70</td><td>0.74</td><td>0.75</td><td>0.74</td><td>0.79</td></tr><tr><td>Total average error of 10 users</td><td colspan="10">0.70</td></tr></table>
08d43e1041b7db57241986ad96c891ec57e9e29e00a27e96ac0e8a76f0069f01.png
complex
<table><tr><td rowspan="3">Method</td><td colspan="3">Week 4</td><td colspan="3">Week 5</td></tr><tr><td>Positive/total</td><td>Specificity (%)</td><td>Sensitivity (%)</td><td>Positive/total</td><td>Specificity (%)</td><td>Sensitivity (%)</td></tr><tr><td>FIU</td><td>18/53</td><td>72.3</td><td>83.3</td><td>12/53</td><td>83.3</td><td>80</td></tr><tr><td>CM</td><td>13/53</td><td>81</td><td>66.6</td><td>7/53</td><td>91.7</td><td>60</td></tr><tr><td>FIU+CM</td><td>8/53</td><td>91.5</td><td>66.6</td><td>6/53</td><td>93.8</td><td>60</td></tr></table>
ef84145400dc2620a1486d2407a8c93bd2bae127aa99e2259f94d097d1065505.png
complex
<table><tr><td rowspan="2">Incremental # sub-types</td><td colspan="2">P-values<sup>a</sup></td></tr><tr><td>mRNA</td><td>Methylation</td></tr><tr><td>3 vs 2</td><td>0.02</td><td>&lt;0.01</td></tr><tr><td>4 vs 3</td><td>0.06</td><td>0.04</td></tr><tr><td>5 vs 4</td><td>0.41</td><td>&lt;0.01</td></tr></table>
caec5e7ac22c7dbce26075d293609a89edadd0084ed163b6e2029e7200c8d6c3.png
complex
<table><tr><td>Proteins</td><td colspan="4">Bonds determined by different methods</td></tr><tr><td></td><td>Known Linkages</td><td>MS2DB+</td><td>SVM</td><td>CSP</td></tr><tr><td>ST8Sia IV</td><td>142-292</td><td>142-292</td><td>142-292</td><td>142-292</td></tr><tr><td></td><td>156-356</td><td>156-356</td><td>156-356</td><td>156-356</td></tr><tr><td>Beta-LG</td><td>82-176</td><td>82-176</td><td>-</td><td>-</td></tr><tr><td></td><td>122-135</td><td>-</td><td>122-135</td><td>122-135</td></tr><tr><td></td><td></td><td>-</td><td><i>137-176</i></td><td><i>137-176</i></td></tr><tr><td>FucT VII</td><td>68-76</td><td>68-76</td><td>68-76</td><td>68-76</td></tr><tr><td></td><td>211-214</td><td>211-214</td><td>211-214</td><td>211-214</td></tr><tr><td></td><td>318-321</td><td>318-321</td><td>318-321</td><td>318-321</td></tr><tr><td>&#914;1,4-GalT</td><td>134-176</td><td>134-176</td><td>-</td><td>134-176</td></tr><tr><td></td><td>247-266</td><td>247-266</td><td>-</td><td>247-266</td></tr><tr><td></td><td></td><td>-</td><td><i>134-247</i></td><td>-</td></tr><tr><td>C2GnT-I</td><td>59-413</td><td>59-413</td><td>-</td><td>-</td></tr><tr><td></td><td>372-381</td><td>372-381</td><td>372-381</td><td>-</td></tr><tr><td></td><td>100-172</td><td>-</td><td>100-172</td><td>-</td></tr><tr><td></td><td>151-199</td><td>151-199</td><td>-</td><td>-</td></tr><tr><td></td><td></td><td>-</td><td><i>199-235</i></td><td>-</td></tr><tr><td></td><td></td><td>-</td><td>-</td><td><i>151-217</i></td></tr><tr><td></td><td></td><td>-</td><td>-</td><td><i>172-199</i></td></tr><tr><td></td><td></td><td>-</td><td>-</td><td><i>59-100</i></td></tr><tr><td>Lysozyme</td><td>24-145</td><td>24-145</td><td>24-145</td><td>-</td></tr><tr><td></td><td>48-133</td><td>48-133</td><td>-</td><td>-</td></tr><tr><td></td><td></td><td>-</td><td>-</td><td><i>82-98</i></td></tr><tr><td></td><td></td><td>-</td><td>-</td><td><i>94-112</i></td></tr><tr><td>FT III</td><td>81-338</td><td>81-338</td><td>-</td><td>-</td></tr><tr><td></td><td>91-341</td><td>-</td><td>-</td><td>-</td></tr><tr><td></td><td></td><td>-</td><td><i>81-91</i></td><td><i>81-91</i></td></tr><tr><td></td><td></td><td>-</td><td><i>338-341</i></td><td><i>338-341</i></td></tr></table>
0301e0239387ec7217a21e3e24c94608432ccaff49d3dd5c43922dfac4431c52.png
complex
<table><tr><td rowspan="2">Variable</td><td>All NEETs Included</td><td>Economically Inactive NEETs Excluded</td></tr><tr><td>OR (95% CI)</td><td>OR (95% CI)</td></tr><tr><td colspan="3">UNIVARIATE<sup>c</sup></td></tr><tr><td colspan="3">NEET</td></tr><tr><td> No</td><td>1.00*</td><td>1.00</td></tr><tr><td> Yes</td><td>0.73 (0.59&#8211;0.90)</td><td>0.90 (0.69&#8211;1.19)</td></tr><tr><td colspan="3">FULLY ADJUSTED<sup>c</sup></td></tr><tr><td colspan="3">NEET</td></tr><tr><td> No</td><td>1.00*</td><td>1.00</td></tr><tr><td> Yes</td><td>0.71 (0.56&#8211;0.91)</td><td>0.91 (0.68&#8211;1.22)</td></tr><tr><td colspan="3">Sex</td></tr><tr><td> Male</td><td>0.71 (0.60&#8211;0.85)</td><td>0.69 (0.58&#8211;0.82)</td></tr><tr><td> Female</td><td>1.00**</td><td>1.00**</td></tr><tr><td colspan="3">Ethnicity</td></tr><tr><td> White UK &amp; Irish</td><td>1.00**</td><td>1.00**</td></tr><tr><td> Other (incl. gypsy/traveller)</td><td>0.43 (0.33&#8211;0.56)</td><td>0.41 (0.31&#8211;0.54)</td></tr><tr><td colspan="3">Access to car/van</td></tr><tr><td> Yes</td><td>1.00*</td><td>1.00*</td></tr><tr><td> No</td><td>1.24 (1.03&#8211;1.49)</td><td>1.29 (1.06&#8211;1.56)</td></tr><tr><td colspan="3">Marital status</td></tr><tr><td> Married/cohabiting</td><td>0.65 (0.53&#8211;0.80)</td><td>0.67 (0.54&#8211;0.83)</td></tr><tr><td> Other (incl. single/separated/divorced)</td><td>1.00**</td><td>1.00**</td></tr><tr><td colspan="3">Receipt of means-tested benefits</td></tr><tr><td> No</td><td>1.00*</td><td>1.00*</td></tr><tr><td> Yes</td><td>0.80 (0.67&#8211;0.95)</td><td>0.80 (0.67&#8211;0.96)</td></tr><tr><td colspan="3">NSSEC</td></tr><tr><td> Managerial &amp; professional</td><td>1.00*</td><td>1.00*</td></tr><tr><td> Intermediate</td><td>1.06 (0.78&#8211;1.45)</td><td>1.07 (0.78&#8211;1.46)</td></tr><tr><td> Routine &amp; manual</td><td>1.40 (1.08&#8211;1.83)</td><td>1.40 (1.07&#8211;1.84)</td></tr><tr><td> Other or never worked/long-term unemployed</td><td>1.13 (0.80&#8211;1.61)</td><td>1.18 (0.82&#8211;1.70)</td></tr></table>
2374dbcf596fae4fb0abb11637fddd00a61833dfa2321ad5261e904ace164b0c.png
simple
<table><tr><td>Group</td><td>Dose (mg/kg)</td><td>AST (IU/l)</td><td>ALT (IU/l)</td></tr><tr><td>Vehicle</td><td>&#8211;</td><td>48.65 &#177; 6.78**</td><td>28.59 &#177; 3.15**</td></tr><tr><td>Model</td><td>&#8211;</td><td>124.37 &#177; 10.35</td><td>75.16 &#177; 5.79</td></tr><tr><td>Silibinin</td><td>100</td><td>85.94 &#177; 5.63*</td><td>50.19 &#177; 4.29*</td></tr><tr><td>LAE</td><td>50</td><td>65.38 &#177; 4.59**</td><td>45.31 &#177; 6.12*</td></tr><tr><td></td><td>100</td><td>60.79 &#177; 6.96**</td><td>38.33 &#177; 5.11**</td></tr><tr><td></td><td>200</td><td>56.88 &#177; 5.61**</td><td>36.99 &#177; 4.77**</td></tr></table>
84fbc5479299eaf4dde3ac05565fb2ca6b6c5796a759554540674b79fd519be6.png
simple
<table><tr><td>Parameters</td><td>5-year PFS</td><td>P value <sup>b</sup></td><td>5-year OS</td><td>P value <sup>b</sup></td></tr><tr><td>SUVmax <sup>a</sup></td><td></td><td>0.494</td><td></td><td>0.282</td></tr><tr><td> Low</td><td>73%</td><td></td><td>90%</td><td></td></tr><tr><td> High</td><td>57%</td><td></td><td>72%</td><td></td></tr><tr><td>MTV <sup>a</sup></td><td></td><td>&lt;0.001</td><td></td><td>&lt;0.001</td></tr><tr><td> Low</td><td>88%</td><td></td><td>98%</td><td></td></tr><tr><td> High</td><td>37%</td><td></td><td>60%</td><td></td></tr><tr><td>TLG <sup>a</sup></td><td></td><td>&lt;0.001</td><td></td><td>&lt;0.001</td></tr><tr><td> Low</td><td>83%</td><td></td><td>92%</td><td></td></tr><tr><td> High</td><td>34%</td><td></td><td>67%</td><td></td></tr><tr><td>NCCN-IPI score</td><td></td><td>0.039</td><td></td><td>0.036</td></tr><tr><td> 0-3</td><td>76%</td><td></td><td>92%</td><td></td></tr><tr><td> 4-8</td><td>51%</td><td></td><td>71%</td><td></td></tr><tr><td>Ann Arbor stage</td><td></td><td>0.02</td><td></td><td>0.046</td></tr><tr><td> I/II</td><td>82%</td><td></td><td>94%</td><td></td></tr><tr><td> III/IV</td><td>56%</td><td></td><td>76%</td><td></td></tr><tr><td>B symptoms</td><td></td><td>&lt;0.001</td><td></td><td>0.027</td></tr><tr><td> No</td><td>86%</td><td></td><td>93%</td><td></td></tr><tr><td> Yes</td><td>46%</td><td></td><td>70%</td><td></td></tr><tr><td>LDH level</td><td></td><td>0.013</td><td></td><td>0.015</td></tr><tr><td> normal</td><td>77%</td><td></td><td>88%</td><td></td></tr><tr><td> elevated</td><td>48%</td><td></td><td>73%</td><td></td></tr><tr><td>Subtype</td><td></td><td>0.761</td><td></td><td>0.762</td></tr><tr><td> GCB</td><td>74%</td><td></td><td>88%</td><td></td></tr><tr><td> non-GCB</td><td>65%</td><td></td><td>80%</td><td></td></tr></table>
b1e2077a0150d0b9abad901a3b490ec99ae236573cc082993c26fa6d3b9be94a.png
complex
<table><tr><td> </td><td>All (<i>N</i> = 104)</td><td>PST (<i>n</i> = 55)</td><td>WL (<i>n</i> = 49)</td><td>Statistic</td></tr><tr><td>Age in years (<i>SD</i>)</td><td>37.6 (10.8)</td><td>33.7 (10.7)</td><td>42.1 (9.2)</td><td><i>t</i>(102) = &#8722;4.81, <i>p</i> &lt; .001</td></tr><tr><td>Female</td><td>73 (70.2)</td><td>48 (87.3)</td><td>25 (51.0)</td><td><i>&#967;</i><sup><i>2</i></sup>(1) = 16.27, <i>p</i> &lt; .001</td></tr><tr><td colspan="5">Education*</td></tr><tr><td>-lower</td><td>7 (6.7)</td><td>4 (7.3)</td><td>3 (6.1)</td><td><i>&#967;</i><sup>2</sup>(2) = 8,62, <i>p</i> = .01</td></tr><tr><td>-middle</td><td>51 (49.0)</td><td>34 (61.8)</td><td>17 (34.7)</td><td> </td></tr><tr><td>-higher</td><td>46 (44.2)</td><td>17 (30.9)</td><td>29 (59.2)</td><td> </td></tr></table>
9025ab01c5350b8021ac714eccfcf8a2da017047f363b7d81573da52a1c88bff.png
simple
<table><tr><td>Grouping variable</td><td>Variance</td><td><i>F</i>-value</td><td><i>P</i>-value</td></tr><tr><td>Year</td><td>0.73</td><td>37.86</td><td>&lt;0.001</td></tr><tr><td>Farmland type</td><td>0.08</td><td>4.27</td><td>0.001</td></tr><tr><td>Year: Farmland type</td><td>0.13</td><td>6.48</td><td>&lt;0.001</td></tr></table>
bb1af989bf8fdc56323e33848fe66a97d1e871771edd801acb451057f6ee6fbc.png
simple
<table><tr><td>Health facility indicators</td><td>DRH</td><td>HFSUH</td><td>KGH</td><td>Over all</td></tr><tr><td>Percentage in stock of key drugs</td><td>12(80.0%)<sup>a</sup></td><td>6(40.0%)<sup>a</sup></td><td>11(73.3%)<sup>a</sup></td><td>20(66.7%)</td></tr><tr><td>% of drugs with adequate recording</td><td>11(73.3%) <sup>a</sup></td><td>0<sup>a</sup></td><td>12(80.0%)<sup>a</sup></td><td>19(63.3)</td></tr><tr><td>Average number of stock out days during the year for adequately recorded drugs</td><td>9.78</td><td>__</td><td>35<sup>a</sup></td><td>30</td></tr><tr><td>Percentage of Expired drug</td><td>0</td><td>7(46.7%)<sup>a</sup></td><td>6(40.0%)<sup>a</sup></td><td>8(26.7%)<sup>a</sup></td></tr></table>
7b20773d2b32f5a5a68b17736d876db6b34c9a28d4dba202baa00eaa61697596.png
complex
<table><tr><td><i>Sociodemographic and clinical variables</i>a</td><td><i>Patients with TRD (</i>n=<i>12)</i></td><td><i>Comparison participants (</i>n=<i>10)</i></td><td><i>Statistic</i>b</td><td>P<i>-value</i></td></tr><tr><td>Age, years: mean (s.d.)</td><td>59.17 (8.02)</td><td>54.4 (8.37)</td><td>&#8722;1.454</td><td>0.159</td></tr><tr><td>Gender, male: <i>n</i> (%)</td><td>6 (50)</td><td>5 (50)</td><td>0</td><td>1</td></tr><tr><td>Education, years: mean (s.d.)</td><td>9.75 (5.91)</td><td>12.44 (3.39)</td><td>&#8722;1.253</td><td>0.219</td></tr><tr><td>Psychotic symptoms: <i>n</i> (%)</td><td>5 (41.7)</td><td> </td><td> </td><td> </td></tr><tr><td>Comorbid anxiety disorder: <i>n</i> (%)</td><td>3 (25)</td><td> </td><td> </td><td> </td></tr><tr><td>Age at onset, years: mean (s.d.)</td><td>40.58 (19.00)</td><td> </td><td> </td><td> </td></tr><tr><td>Duration of current episode, weeks: mean (s.d.)</td><td>61.75 (134.46)</td><td> </td><td> </td><td> </td></tr><tr><td>Number episodes: mean (s.d.)</td><td>4.08 (2.71)</td><td> </td><td> </td><td> </td></tr><tr><td>HRSD1c: mean (s.d.)</td><td>31.25 (9.21)</td><td> </td><td> </td><td> </td></tr><tr><td>HRSD2: mean (s.d.)</td><td>28.50 (9.52)</td><td> </td><td> </td><td> </td></tr><tr><td>HRSD3: mean (s.d.)</td><td>6.75 (5.17)</td><td> </td><td> </td><td> </td></tr><tr><td>HRSD4: mean (s.d.)</td><td>2.92 (2.54)</td><td> </td><td> </td><td> </td></tr><tr><td>MSM: mean (s.d.)</td><td>9.33 (1.15)</td><td> </td><td> </td><td> </td></tr><tr><td colspan="5"> </td></tr><tr><td colspan="5"><i>Drugs: %</i></td></tr><tr><td> Antidepressant</td><td>100</td><td> </td><td> </td><td> </td></tr><tr><td> Antipsychotics</td><td>75</td><td> </td><td> </td><td> </td></tr><tr><td> Lithium</td><td>16.7</td><td> </td><td> </td><td> </td></tr><tr><td> Anxiolytics</td><td>50</td><td> </td><td> </td><td> </td></tr><tr><td>Previous ECT: %</td><td>16.7</td><td> </td><td> </td><td> </td></tr></table>
caf079e3dfa68e55e2ed23124a467cbba64759581406d8e1209a3fc64ea2e119.png
simple
<table><tr><td>Projections</td><td>ZF-IDFT</td><td>k-<i>t</i> FOCUSS</td><td>k-<i>t</i> SLR</td><td>k-<i>t</i> RPCA</td><td>k-<i>t</i> NCRPCA</td></tr><tr><td>8</td><td>0.3281/7.3112</td><td>0.7041/16.1893</td><td>0.8328/16.9640</td><td>0.7948/17.5719</td><td>0.8268/17.8084</td></tr><tr><td>12</td><td>0.4306/8.7548</td><td>0.8099/17.9173</td><td>0.8894/18.8529</td><td>0.8682/20.2187</td><td>0.8937/20.6879</td></tr><tr><td>16</td><td>0.4974/9.9446</td><td>0.8618/19.6515</td><td>0.9300/20.8879</td><td>0.9134/21.9271</td><td>0.9384/22.6999</td></tr><tr><td>24</td><td>0.5929/11.9903</td><td>0.9064/21.9681</td><td>0.9546/23.1806</td><td>0.9383/23.5353</td><td>0.9768/25.1972</td></tr><tr><td>32</td><td>0.6753/13.9492</td><td>0.9489/24.2931</td><td>0.9757/25.7613</td><td>0.9674/25.4710</td><td>0.9887/27.2034</td></tr></table>
7ebf9e71adf18a5853e8f0bd1ad38c7133a113e43816e78ec20185f553bb3e1a.png
simple
<table><tr><td>Clinical characteristics</td><td>Total</td><td>Minimal ETE</td><td>Widely ETE</td><td><i>P</i> value*</td></tr><tr><td>Patient number</td><td>269</td><td>175 (65.1)</td><td>94 (34.9)</td><td></td></tr><tr><td>Gender (female)</td><td>204 (75.8)</td><td>144 (82.3)</td><td>60 (63.8)</td><td>0.0007</td></tr><tr><td>Age at diagnosis (year)</td><td>46.8 &#177; 15.1</td><td>45.8 &#177; 13.7</td><td>48.6 &#177; 17.2</td><td>0.1506</td></tr><tr><td>Mean tumor size (cm)</td><td>3.0 &#177; 1.5</td><td>2.6 &#177; 1.0</td><td>3.7 &#177; 1.9</td><td>0.0001</td></tr><tr><td>Post-operative serum Tg level after 1 month (ng/mL)</td><td>96.2 &#177; 515.5</td><td>56.0 &#177; 187.0</td><td>172.3 &#177; 832.3</td><td>0.0842</td></tr><tr><td>Multifocality</td><td>65 (24.2)</td><td>39 (22.3)</td><td>26 (27.6)</td><td>0.3262</td></tr><tr><td>Histology variant</td><td></td><td></td><td></td><td>0.1834</td></tr><tr><td> Follicular variant of papillary</td><td>10 (3.5)</td><td>7 (4.0)</td><td>3 (3.2)</td><td></td></tr><tr><td> Poorly differentiation</td><td>4 (1.5)</td><td>1 (0.6)</td><td>3 (3.2)</td><td></td></tr><tr><td> Tall cell</td><td>1 (0.4)</td><td>&#8211;</td><td>1 (1.1)</td><td></td></tr><tr><td>Thyroid operative method</td><td></td><td></td><td></td><td>0.1171</td></tr><tr><td> Total thyroidectomy</td><td>137 (50.9)</td><td>83 (47.4)</td><td>54 (57.4)</td><td></td></tr><tr><td> Total thyroidectomy with LN dissection</td><td>132 (49.1)</td><td>92 (52.6)</td><td>40 (42.5)</td><td></td></tr><tr><td>Lymph node metastases</td><td>80 (29.7)</td><td>43 (24.6)</td><td>37 (39.4)</td><td>0.0114</td></tr><tr><td>Non-remission</td><td>44 (16.4)</td><td>12 (6.9)</td><td>32 (34.0)</td><td>0.0001</td></tr><tr><td>Follow-up period (year)</td><td>13.3 &#177; 5.5</td><td>13.5 &#177; 4.7</td><td>13.0 &#177; 6.8</td><td>0.4733</td></tr><tr><td>Post-operative <sup>131</sup>I accumulative dose (mCi)</td><td>209.5 &#177; 253.2</td><td>157.6 &#177; 180.5</td><td>305.9 &#177; 329.4</td><td>0.0001</td></tr><tr><td>Cancer mortality</td><td>28 (10.4)</td><td>6 (3.4)</td><td>22 (23.4)</td><td>0.0001</td></tr><tr><td>Total mortality</td><td>63 (23.4)</td><td>22 (12.6)</td><td>41 (43.6)</td><td>0.0001</td></tr><tr><td>Disease free</td><td>89 (33.1)</td><td>71 (40.6)</td><td>18 (19.1)</td><td>0.0004</td></tr><tr><td>Second primary cancer</td><td>29 (10.8)</td><td>15 (8.6)</td><td>14 (14.9)</td><td>0.1109</td></tr><tr><td> Mortality</td><td>15 (51.7)</td><td>5 (33.3)</td><td>10 (71.4)</td><td>0.0402</td></tr><tr><td>Diabetes mellitus</td><td>21 (7.8)</td><td>14 (8.0)</td><td>7 (7.4)</td><td>0.8719</td></tr></table>
4eee0b4b49c222de37612bfda0557ca0d08df3558d13786329f6457d0083af71.png
complex
<table><tr><td>Variable category</td><td>Total</td><td>EBMT</td><td>MEA</td><td><i>p</i>-value<sup>*</sup></td></tr><tr><td> </td><td>(N = 175)</td><td>(N = 59)</td><td>(N = 116)</td><td> </td></tr><tr><td>Gender</td><td>(N = 175)</td><td>(n = 59)</td><td>(n = 116)</td><td> </td></tr><tr><td>Male</td><td>(104, 59.4%)</td><td>(35, 59.3%)</td><td>(69, 59.5%)</td><td>0.98</td></tr><tr><td>Female</td><td>(71, 40.6%)</td><td>(24, 40.7%)</td><td>(47, 40.5%)</td><td> </td></tr><tr><td rowspan="2">Age (years) (mean &#177; SD)</td><td>(N = 175)</td><td>(n = 59)</td><td>(n = 116)</td><td rowspan="2">0.67</td></tr><tr><td>(56.6 &#177; 9.4)</td><td>(56.1 &#177; 9.3)</td><td>(56.8 &#177; 9.5)</td></tr><tr><td>Clinical diagnosis</td><td>(N = 175)</td><td>(n = 59)</td><td>(n = 116)</td><td> </td></tr><tr><td>Early gastric cancer</td><td>(40, 22.9%)</td><td>(11, 18.6%)</td><td>(29, 25.0%)</td><td>0.06</td></tr><tr><td>Dysplasia</td><td>(19, 10.9%)</td><td>(3, 5.1%)</td><td>(16, 13.8%)</td><td> </td></tr><tr><td>Peptic ulcer disease</td><td>(34, 19.4%)</td><td>(17, 28.8%)</td><td>(17, 14.7%)</td><td> </td></tr><tr><td>Chronic gastritis</td><td>(82, 46.9%)</td><td>(28, 47.5%)</td><td>(54, 46.6%)</td><td> </td></tr><tr><td>Histological AG in either antrum or body</td><td>(N = 116)</td><td>(n = 37)</td><td>(n = 79)</td><td> </td></tr><tr><td>Yes</td><td>(67, 57.8%)</td><td>(21, 56.8%)</td><td>(46, 68.7%)</td><td>0.88</td></tr><tr><td>No</td><td>(49, 42.2%)</td><td>(16, 43.2%)</td><td>(33, 41.8%)</td><td> </td></tr><tr><td>Histological IM in either antrum or body</td><td>(N = 144)</td><td>(n = 47)</td><td>(n = 97)</td><td> </td></tr><tr><td>Yes</td><td>(84, 58.3%)</td><td>(23, 48.9%)</td><td>(61, 62.9%)</td><td>0.11</td></tr><tr><td>No</td><td>(60, 41.7%)</td><td>(24, 51.1%)</td><td>(36, 37.1%)</td><td> </td></tr></table>
ba069eab6d07edcc7a29925a71c3c41eff6a27f7210ffa5994e6ab1ba70e0ac1.png
simple
<table><tr><td>Design theory</td><td>Definition</td><td>Example</td></tr><tr><td>Accessible design [46]</td><td>Provides separate design features for user groups with disabilities Usually permanent and noticeableFulfills code requirements for use by individuals with disabilities </td><td>Provide the minimum level of accessibility required by the local building code. This can vary by region (e.g., province or state), and with different building types within the same region. For example, Ontario Building Code requires power door operators (e.g., push button, automatic sensor, etc.) on entrances to hotels, but not on entrances to stand-alone office spaces of less than 300 m<sup>2</sup> [47].</td></tr><tr><td>Adaptable design [46]</td><td>Provides design features that are usable by groups with disabilities, however remain concealed or omitted until neededFeatures are either adjustable or easily and quickly added or removed in order to &#8220;adapt&#8221; the environment for specific individuals</td><td>An electronic push button is provided to open the door, but the use of the push button is optional (i.e., door will open manually).</td></tr><tr><td>Transgenerational design [48]</td><td>Develops products and environments that are compatible with the natural physical and sensory declines experienced during the aging process</td><td>Provide a power assist door, which augments the force applied by the user to fully open the door [49].</td></tr></table>
ae66e30af8070c7342d2a223b1a817f16ac604245e25aeb0033b2107c126fb9a.png
complex
<table><tr><td></td><td></td><td></td><td colspan="2">dissector</td><td>sampling</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td>base</td><td>height</td><td>Grid</td><td>UGZ</td><td>BA</td><td>t</td><td></td><td></td><td></td></tr><tr><td>Structure quantified (antibody)</td><td>OBJ</td><td>ssf</td><td>(&#956;m &#215; &#956;m)</td><td>(&#956;m)</td><td>(&#956;m &#215; &#956;m)</td><td>(&#956;m)</td><td>(&#956;m)</td><td>(&#956;m)</td><td>&#8721;OD</td><td>&#8721;Q-</td><td>CE</td></tr><tr><td>Neurofibrillar tangles (AT8)</td><td>60 &#215;</td><td>1/13</td><td>100 &#215; 100</td><td>15</td><td>370 &#215; 370</td><td>1.5</td><td>40</td><td>21.85</td><td>3296.70</td><td>394.80</td><td>0.060</td></tr><tr><td>Microglia (Iba1)</td><td>60 &#215;</td><td>1/13</td><td>70 &#215; 70</td><td>15</td><td>860 &#215; 860</td><td>1.5</td><td>40</td><td>24.41</td><td>767.20</td><td>1115.40</td><td>0.030</td></tr><tr><td>Macrophage-like structures (Iba1)</td><td>60 &#215;</td><td>1/13</td><td>70 &#215; 70</td><td>15</td><td>860 &#215; 860</td><td>1.5</td><td>40</td><td>24.41</td><td>767.20</td><td>96.00</td><td>0.260</td></tr><tr><td>MHCII-positive microglia - frequent (MHCII)</td><td>60 &#215;</td><td>1/13</td><td>100 &#215; 100</td><td>15</td><td>500 &#215; 500</td><td>1.5</td><td>40</td><td>25.60</td><td>2645.40</td><td>1861.40</td><td>0.041</td></tr><tr><td>MHCII-positive microglia - sparse (MHCII)</td><td>60 &#215;</td><td>1/13</td><td>100 &#215; 100</td><td>15</td><td>370 &#215; 370</td><td>1.5</td><td>40</td><td>26.54</td><td>4029.20</td><td>252.20</td><td>0.085</td></tr><tr><td>Astrocytes (GFAP)</td><td>60 &#215;</td><td>1/13</td><td>70 &#215; 70</td><td>15</td><td>860 &#215; 860</td><td>1.5</td><td>40</td><td>24.66</td><td>680.19</td><td>1696.05</td><td>0.024</td></tr><tr><td>Neurons (NeuN)</td><td>60 &#215;</td><td>1/13</td><td>70 &#215; 70</td><td>15</td><td>650 &#215; 650</td><td>1.5</td><td>40</td><td>20.70</td><td>1243.76</td><td>1655.81</td><td>0.047</td></tr></table>
05122130b53d1d7d64bb1129ee2fcecd39969b01d1585ebc2deaecdde2583f46.png
complex
<table><tr><td>Group</td><td>Survivors of intimate partner violence (n =8)</td><td>Women who have not experienced violence (n = 5)</td><td>General practitioners (n = 3)</td></tr><tr><td rowspan="3">Age group</td><td>18-25: 3</td><td>18-25: 1</td><td>18-25: 0</td></tr><tr><td>26-50: 4</td><td>26-50: 4</td><td>26-50: 2</td></tr><tr><td>51-74: 1</td><td>51-74: 0</td><td>51-74: 1</td></tr><tr><td>Mean age</td><td>36</td><td>36.6</td><td>50.6</td></tr><tr><td rowspan="3">Number of children</td><td>None: 3</td><td>None: 3</td><td>No data</td></tr><tr><td>One: 2</td><td>One: 0</td><td> </td></tr><tr><td>Two: 3</td><td>Two: 2</td><td> </td></tr><tr><td>Employment status</td><td>Employed 1</td><td>Employed 4</td><td>Employed 3</td></tr><tr><td rowspan="2"> </td><td>Unemployed 6</td><td>Unemployed 1</td><td> </td></tr><tr><td>Retired 1</td><td> </td><td> </td></tr><tr><td rowspan="3">Ethnicity</td><td>Danish 3</td><td>Danish 5</td><td>Danish 3</td></tr><tr><td>Other Scandinavian 1</td><td> </td><td> </td></tr><tr><td>Other ethnicity 4</td><td> </td><td> </td></tr></table>
c20dc21d9a1e57cdb308e6b16af5610ca46e2e4ac0d064cb4d999260b1afefb6.png
simple
<table><tr><td>Patient Characteristic</td><td>First Line</td><td>Supporting Reference</td></tr><tr><td>Elderly</td><td>Lamotrigine or Levetiracetam</td><td>[26, 27]</td></tr><tr><td>Female of reproductive age</td><td>Lamotrigine</td><td>[25-27]</td></tr><tr><td>Pregnant</td><td>Lamotrigine</td><td>[26, 27]</td></tr><tr><td>Liver failure</td><td>Levetiracetam or Lamotrigine or Gabapentina</td><td>[26, 27]</td></tr><tr><td>Renal failure</td><td>Lamotrigine or Valproic acidb</td><td>[26, 27]</td></tr><tr><td>Depression</td><td>Lamotrigine or Valproic acidb or Oxcarbazepinec</td><td>[26, 27]</td></tr></table>
931360a6cb13ef5bac544a4e15df4ec5232101b85bc2b831dd154c4e20a3a0ed.png
simple
<table><tr><td>Characteristic</td><td>Number (n) or Median (Range)</td></tr><tr><td>Median age (years)</td><td>22.5 (18&#8211;26)</td></tr><tr><td>Ethnicity (n)</td><td></td></tr><tr><td>White British</td><td>8</td></tr><tr><td>Pakistani British</td><td>1</td></tr><tr><td>Indian British</td><td>2</td></tr><tr><td>Canadian (various ethnicities)</td><td>4</td></tr><tr><td>Gender (n)</td><td></td></tr><tr><td>Female</td><td>15</td></tr><tr><td>Male</td><td>3</td></tr><tr><td>Median number of lifetime sexual partners</td><td>3.5 (1&#8211;8)</td></tr><tr><td>Median number of new sexual partners (in last 12 months)</td><td>0 (0&#8211;4)</td></tr><tr><td>Previous self-test use (n)</td><td></td></tr><tr><td>Had self-tested</td><td>11</td></tr><tr><td>Had not self-tested</td><td>7</td></tr><tr><td>Previous self-test location (n)</td><td></td></tr><tr><td>Home</td><td>3</td></tr><tr><td>University Students&#8217; Union</td><td>5</td></tr><tr><td>Clinic</td><td>3</td></tr></table>
5ac5d5e3d676ed868c9dacba2d132fe883a3f2097c2ae5c638525de4635c8bde.png
simple
<table><tr><td>Data set</td><td>P systems</td><td>GA</td><td>PSO</td><td>ACO</td><td><i>k</i>-means</td></tr><tr><td><i>AD_5_2 </i></td><td>326.44 &#177; 0.0105</td><td>332.31 &#177; 0.4792</td><td>326.44 &#177; 0.0128</td><td>326.45 &#177; 0.0344</td><td>332.47 &#177; 3.1286</td></tr><tr><td><i>Data_9_2 </i></td><td>591.06 &#177; 0.0280</td><td>593.72 &#177; 0.2635</td><td>591.14 &#177; 0.0303</td><td>591.42 &#177; 0.0372</td><td>623.57 &#177; 3.1326</td></tr><tr><td><i>Square_4 </i></td><td>2379.74 &#177; 0.0189</td><td>2380.33 &#177; 0.6319</td><td>2379.74 &#177; 0.0226</td><td>2379.79 &#177; 0.0428</td><td>2386.00 &#177; 4.5217</td></tr><tr><td><i>Sym_3_22 </i></td><td>1247.72 &#177; 0.0105</td><td>1249.36 &#177; 1.2163</td><td>1247.72 &#177; 0.0149</td><td>1247.75 &#177; 0.0315</td><td>1255.45 &#177; 3.8725</td></tr><tr><td><i>Iris </i></td><td>96.75 &#177; 0.0428</td><td>99.83 &#177; 5.5239</td><td>97.23 &#177; 0.3513</td><td>97.25 &#177; 0.4152</td><td>104.11 &#177; 12.4563</td></tr><tr><td><i>BreastCancer </i></td><td>2970.24 &#177; 1.1225</td><td>3249.26 &#177; 229.734</td><td>3050.04 &#177; 110.801</td><td>3046.06 &#177; 90.500</td><td>3251.21 &#177; 251.143</td></tr><tr><td><i>Newthyroid </i></td><td>1869.29 &#177; 0.9215</td><td>1875.11 &#177; 13.5834</td><td>1872.51 &#177; 11.0923</td><td>1872.56 &#177; 11.1045</td><td>1886.25 &#177; 16.2189</td></tr><tr><td><i>LungCancer </i></td><td>124.69 &#177; 0.0011</td><td>129.52 &#177; 4.4961</td><td>127.23 &#177; 1.1528</td><td>127.31 &#177; 1.2936</td><td>139.40 &#177; 7.3136</td></tr><tr><td><i>Wine </i></td><td>16292.25 &#177; 0.1529</td><td>16298.42 &#177; 2.1523</td><td>16292.25 &#177; 0.1531</td><td>16292.25 &#177; 0.1672</td><td>16312.43 &#177; 9.4269</td></tr><tr><td><i>LiveDisorder </i></td><td>9851.73 &#177; 0.0347</td><td>9856.14 &#177; 1.9523</td><td>9851.73 &#177; 0.0356</td><td>9851.74 &#177; 0.0692</td><td>9868.32 &#177; 7.9274</td></tr></table>
a24fed89aaae59939d81de1c6a1162f57375aa33bca946ea23ca04afedd2bc4b.png
complex
<table><tr><td>Characteristic</td><td>Focus groups (<i>N</i> = 5)</td><td>Interviews (<i>N</i> = 10)</td></tr><tr><td>No. participants</td><td><i>n</i> = 20</td><td><i>n</i> = 10</td></tr><tr><td>Mean age (years)</td><td>88.4 (SD &#177; 5.20)</td><td>88.9 (SD &#177; 3.60)</td></tr><tr><td colspan="3">Gender</td></tr><tr><td>Male</td><td>20 % (<i>n</i> = 4)</td><td>-</td></tr><tr><td>Female</td><td>80 % (<i>n</i> = 16)</td><td>100 % (<i>n</i> = 10)</td></tr><tr><td colspan="3">Marital status</td></tr><tr><td>Single</td><td>5 % (<i>n</i> = 1)</td><td>10 % (<i>n</i> = 1)</td></tr><tr><td>Widowed</td><td>85 % (<i>n</i>=17)</td><td>80 % (<i>n</i> = 8)</td></tr><tr><td>Married</td><td>5 % (<i>n</i> = 1)</td><td>-</td></tr><tr><td>Separated</td><td>-</td><td>-</td></tr><tr><td>Divorced</td><td>5 % (<i>n</i> = 1)</td><td>-</td></tr><tr><td>Common-law</td><td>-</td><td>-</td></tr><tr><td colspan="3">Education</td></tr><tr><td>Public school</td><td>30 % (<i>n</i> = 6)</td><td>10 % (<i>n</i> = 1)</td></tr><tr><td>High school</td><td>45 % (<i>n</i> = 9)</td><td>30 % (<i>n</i> = 3)</td></tr><tr><td>College (diploma)</td><td>10 % (<i>n</i> = 2)</td><td>30 % (<i>n</i> = 3)</td></tr><tr><td>University (Bachelors)</td><td>5 % (<i>n</i> = 1)</td><td>10 % (<i>n</i> = 1)</td></tr><tr><td>University (Masters)</td><td>5 % (<i>n</i> = 1)</td><td>-</td></tr><tr><td>University (PhD/MD)</td><td>-</td><td>-</td></tr><tr><td>Other education</td><td>5 % (<i>n</i> = 1)</td><td>20 % (<i>n</i> = 2)</td></tr><tr><td colspan="3">Perceived Health<sup>a</sup></td></tr><tr><td>Excellent</td><td>5 % (<i>n</i> = 1)</td><td>10 % (<i>n</i> = 1)</td></tr><tr><td>Very good</td><td>20 % (<i>n</i> = 4)</td><td>30 % (<i>n</i> = 3)</td></tr><tr><td>Good</td><td>50 % (<i>n</i> = 10)</td><td>40 % (<i>n</i> = 4)</td></tr><tr><td>Fair</td><td>25 % (<i>n</i> = 5)</td><td>20 % (<i>n</i> = 2)</td></tr><tr><td>Poor</td><td>-</td><td>-</td></tr><tr><td colspan="3">Mean Self-Rated Independence<sup>b</sup></td></tr><tr><td>Completely independent</td><td>10 % (<i>n</i> = 2)</td><td>20 % (<i>n</i> = 2)</td></tr><tr><td>Very independent</td><td>25 % (<i>n</i> = 5)</td><td>70 % (<i>n</i> = 7)</td></tr><tr><td>Somewhat independent</td><td>25 % (<i>n</i> = 5)</td><td>10 % (<i>n</i> = 1)</td></tr><tr><td>Very little independence</td><td>5 % (<i>n</i> = 1)</td><td>-</td></tr><tr><td>Not at all independent</td><td>-</td><td>-</td></tr></table>
dbbc8d224014da2b223a49590986a9221f1ac3a3220356c066768488c978afb4.png
complex
<table><tr><td rowspan="2">Age (yr)</td><td colspan="2">Gender</td><td rowspan="2">Total</td></tr><tr><td>Male</td><td>Female</td></tr><tr><td>12</td><td>146 (51.6)</td><td>137 (48.4)</td><td>283 (34.9)</td></tr><tr><td>13</td><td>121 (62.7)</td><td>72 (37.3)</td><td>193 (23.8)</td></tr><tr><td>14</td><td>105 (61.8)</td><td>65 (38.2)</td><td>170 (21.0)</td></tr><tr><td>15</td><td>87 (53.0)</td><td>77 (47.0)</td><td>164 (20.2)</td></tr><tr><td>Total</td><td>459 (56.7)</td><td>351 (43.3)</td><td>810 (100)</td></tr></table>
6d9c502b8cd438110f427689f322ef40ef6f13f30cc7e889c1306a55530ceef4.png
complex
<table><tr><td>Variable</td><td>Cases(<i>n</i> = 175)</td><td>Controls(<i>n</i> = 175)</td></tr><tr><td>Mean age &#177; SD</td><td>58.15 &#177; 20.56</td><td>57.76 &#177; 20.09</td></tr><tr><td colspan="3">Classification score of disease conditions</td></tr><tr><td> 1</td><td>40(22.9%)</td><td>40(22.9%)</td></tr><tr><td> 2</td><td>63(36.0%)</td><td>63(36.0%)</td></tr><tr><td> 3</td><td>42(24.0%)</td><td>42(24.0%)</td></tr><tr><td> 4</td><td>26(14.9%)</td><td>26(14.9%)</td></tr><tr><td> 5</td><td>4(2.3%)</td><td>4(2.3%)</td></tr><tr><td colspan="3">Gender</td></tr><tr><td> Male</td><td>99(56.6%)</td><td>99(56.6%)</td></tr><tr><td> Female</td><td>76(43.4%)</td><td>76(43.4%)</td></tr><tr><td>Community infections</td><td>39(22.3%)</td><td>39(22.3%)</td></tr><tr><td>Repeated hospitalization</td><td>41(23.4%)</td><td>41(23.4%)</td></tr><tr><td>Low immune function</td><td>29(16.6%)</td><td>29(16.6%)</td></tr></table>
e0d3d0093a9f519c1e70772bf080ed9a97d2928c6987fad75b59984ebf019955.png
complex
<table><tr><td>Element type of membrane</td><td colspan="2">Pressure driving force bar</td></tr><tr><td>NF90-4040</td><td colspan="2">6.96 bar</td></tr><tr><td>Parameters mg/L</td><td>Internal (Feed water) mg/L</td><td>Output Permeable (NF Process) mg/L</td></tr><tr><td>TDS</td><td>3902.78</td><td>212.58</td></tr><tr><td>Cl &#772;<sup>1</sup></td><td>1223.4</td><td>101.31</td></tr><tr><td>Na<sup>+1</sup></td><td>812.41</td><td>67.53</td></tr></table>
b0f93238708b830775c17a071458a15e65cc24abd57a23920d7d63c032ed158b.png
complex
<table><tr><td> </td><td colspan="5">Dependent variables</td></tr><tr><td> </td><td>HH CI</td><td>HH ACI</td><td>HH SCI</td><td>HH SACI</td><td>N</td></tr><tr><td>Public expenditure on health care (% of GDP)</td><td>0.0036*</td><td>0.0108**</td><td>0.0004</td><td>0.0035</td><td>22</td></tr><tr><td>Gini index</td><td>&#8722;0.0003</td><td>&#8722;0.0015</td><td>0.0005</td><td>0.0004</td><td>26</td></tr><tr><td>Public expenditure on education (% of GDP)</td><td>&#8722;0.0048</td><td>&#8722;0.0038</td><td>&#8722;0.0050**</td><td>&#8722;0.0058</td><td>25</td></tr><tr><td>GDP PPS per capita (in millions)</td><td>0.0770</td><td>0.8780</td><td>&#8722;0.2560</td><td>0.0403</td><td>26</td></tr><tr><td>GDP euros per capita (in millions)</td><td>0.0515</td><td>0.6600*</td><td>&#8722;0.1910</td><td>0.0438</td><td>26</td></tr><tr><td>Nordic countries</td><td>0.0015</td><td>0.0142</td><td>&#8722;0.0040</td><td>0.0010</td><td>26</td></tr><tr><td>Eastern Europe</td><td>0.0045</td><td>&#8722;0.0143</td><td>0.0087*</td><td>&#8722;0.0002</td><td>26</td></tr><tr><td>Southern Europe</td><td>&#8722;0.0036</td><td>&#8722;0.0037</td><td>0.0001</td><td>0.0024</td><td>26</td></tr><tr><td>North-Western Europe</td><td>&#8722;0.0028</td><td>0.0076</td><td>&#8722;0.0064</td><td>&#8722;0.0027</td><td>26</td></tr><tr><td> </td><td colspan="5">Dependent variables</td></tr><tr><td> </td><td>CI</td><td>ACI</td><td>SCI</td><td>SACI</td><td>N</td></tr><tr><td>Public expenditure on health care (% of GDP)</td><td>&#8722;0.0012</td><td>0.0032</td><td>&#8722;0.0017</td><td>0.0001</td><td>22</td></tr><tr><td>Gini index</td><td>0.0015**</td><td>0.0020</td><td>0.0015*</td><td>0.0025*</td><td>26</td></tr><tr><td>Public expenditure on education (% of GDP)</td><td>&#8722;0.0088***</td><td>&#8722;0.0095**</td><td>&#8722;0.0116***</td><td>&#8722;0.0184***</td><td>25</td></tr><tr><td>GDP PPS per capita (in millions)</td><td>&#8722;0.0675</td><td>0.8760*</td><td>&#8722;0.2340</td><td>0.1310</td><td>26</td></tr><tr><td>GDP euros per capita (in millions)</td><td>&#8722;0.1630</td><td>0.4530</td><td>&#8722;0.3400*</td><td>&#8722;0.2120</td><td>26</td></tr><tr><td>Nordic countries</td><td>&#8722;0.0225***</td><td>&#8722;0.0286**</td><td>&#8722;0.0323***</td><td>&#8722;0.0549***</td><td>26</td></tr><tr><td>Eastern Europe</td><td>0.0047</td><td>&#8722;0.0235**</td><td>0.0075</td><td>&#8722;0.0053</td><td>26</td></tr><tr><td>Southern Europe</td><td>0.0039</td><td>0.0129</td><td>0.0110</td><td>0.0259*</td><td>26</td></tr><tr><td>North-Western Europe</td><td>0.0092</td><td>0.0365***</td><td>0.0074</td><td>0.0257*</td><td>26</td></tr></table>
710fc963f1611a8ba5a47eef10213aafbef6031babf566a50803d000cf779bb8.png
complex
<table><tr><td>Gene symbol</td><td>Description</td><td>Gene function</td><td>Gene expression in IBS</td><td>Psychiatric diseases</td><td>Reference</td></tr><tr><td>NGF</td><td>Nerve growth factor</td><td>Pro-inflammatory mediator; psychoneuroendocrine modulator</td><td>Overexpression (in rat model)</td><td>Anxiety, chronic alcohol consumption, depression</td><td>[71, 72]</td></tr><tr><td>BDNF</td><td>Brain-Derived Neurotrophic Factor</td><td>Regulation of stress response and in the biology of mood disorders</td><td>SNP</td><td>Psychiatric IBS, schizophrenia, mood disorders, PTSD</td><td>[73, 74]</td></tr><tr><td rowspan="2">COMT</td><td>Catechol</td><td rowspan="2">Degradative pathways of the catecholamine transmitters; metabolism of catechol drugs</td><td rowspan="2">SNP</td><td rowspan="2">Anxiety, panic disorder, and cognitive performance</td><td rowspan="2">[75, 76]</td></tr><tr><td>O-Methyltransferase</td></tr><tr><td>OPRM1</td><td>Mu Opiate Receptor</td><td>Principal target of endogenous opioid peptides</td><td>SNP</td><td>Pain sensitivity, opioid dependence, and social sensitivity</td><td>[77, 78]</td></tr><tr><td>5-HTTLPR</td><td>5-hydroxytryptamine transporter gene-linked polymorphic region</td><td>Serotonin transporter</td><td>SNP</td><td>Depression, anxiety, rectal pain ratings</td><td>[79, 80]</td></tr></table>
92aac1a2949dd65dd82b46bb60385cdfd7f5adc6749e5678054cb78464b3986b.png
simple
<table><tr><td>Recombinant strain</td><td>Transfer medium</td><td>Resistant colonies (%)</td></tr><tr><td>RQ7/pDH10</td><td>SVO</td><td>104.92 &#177; 9.57</td></tr><tr><td></td><td>SVO + Kan</td><td>106.66 &#177; 3.56</td></tr><tr><td>Tm/pDH10</td><td>SVO</td><td>100.96 &#177; 23.72</td></tr><tr><td></td><td>SVO + Kan</td><td>108.59 &#177; 7.54</td></tr></table>
08edef8e04241d19e01e94827391630fab6049b1871720f59f4abfdee8b7c883.png
simple
<table><tr><td> </td><td>Improvement (<i>N</i> = 57)Mean &#177; SD/<i>n</i> (%)</td><td>Nonimprovement (<i>N</i> = 52)Mean &#177; SD/<i>n</i> (%)</td><td><i>t</i>/<i>&#967;</i><sup>2</sup></td><td><i>P</i> value</td></tr><tr><td>Age (years)</td><td>47.14 &#177; 11.79</td><td>47.82 &#177; 11.11</td><td>&#8722;0.30</td><td>0.763</td></tr><tr><td>Gender</td><td> </td><td> </td><td>0.22</td><td>0.637</td></tr><tr><td> Male</td><td>15 (35.71)</td><td>21 (31.34)</td><td> </td><td> </td></tr><tr><td> Female</td><td>27 (64.29)</td><td>46 (68.66)</td><td> </td><td> </td></tr><tr><td>BMI</td><td> </td><td> </td><td>2.07</td><td>0.355</td></tr><tr><td> &lt;18.5</td><td>5 (11.90)</td><td>12 (17.91)</td><td> </td><td> </td></tr><tr><td> 18.5&#8211;25</td><td>35 (83.33)</td><td>48 (71.64)</td><td> </td><td> </td></tr><tr><td> &gt;25</td><td>2 (4.76)</td><td>7 (10.45)</td><td> </td><td> </td></tr><tr><td>Marriage status</td><td> </td><td> </td><td>8.00</td><td>0.005</td></tr><tr><td> Good marriage</td><td>39 (92.86)</td><td>47 (70.15)</td><td> </td><td> </td></tr><tr><td> Others</td><td>3 (7.14)</td><td>20 (29.85)</td><td> </td><td> </td></tr><tr><td>Occupation</td><td> </td><td> </td><td>0.35</td><td>0.553</td></tr><tr><td> Employed</td><td>25 (59.52)</td><td>36 (53.73)</td><td> </td><td> </td></tr><tr><td> Others</td><td>17 (40.48)</td><td>31 (46.27)</td><td> </td><td> </td></tr><tr><td>Education level</td><td> </td><td> </td><td>0.02</td><td>0.883</td></tr><tr><td> Lower than high school</td><td>27 (64.29)</td><td>44 (65.67)</td><td> </td><td> </td></tr><tr><td> High school and above</td><td>15 (35.71)</td><td>23 (34.33)</td><td> </td><td> </td></tr></table>
d7a61b9a5cf1e5d4a5f6eba7bf8d8a0ac852459e15041554177113c964c71cf6.png
simple
<table><tr><td>Nucleotide (genomic)</td><td>Nucleotide (cDNA)</td><td>Amino Acid</td><td>Type</td><td>Age at Onset</td><td>Number of affected</td><td>TCGA_ID</td><td>Previous Reported</td></tr><tr><td>11:108098418C&gt;T</td><td>c.G67T</td><td>p.R23X</td><td>Nonsense</td><td>71</td><td>1</td><td>TCGA-RD-A8MV*</td><td>NA</td></tr><tr><td>11:108106511delTTCT</td><td>c.446_449del</td><td>p.I149fs</td><td>Frameshift deletion</td><td>46</td><td>1</td><td>TCGA-BR-6564</td><td>NA</td></tr><tr><td>11:108121753delAG</td><td>c.1561_1562del</td><td>p.R521fs</td><td>Frameshift deletion</td><td>NA</td><td>1</td><td>TCGA-HF-7133</td><td>NA</td></tr><tr><td>11:108183151G&gt;T</td><td>c.G5932T</td><td>p.E1978X</td><td>Nonsense</td><td>41,64</td><td>2</td><td>TCGA-BR-6710TCGA-BR-8077</td><td>Li and Swift et al., 2000</td></tr><tr><td>11:108214065delTTTCAGTGCC</td><td>c.8385_8395del</td><td>p.D2795fs</td><td>Frameshift deletion</td><td>57</td><td>1</td><td>TCGA-VQ-AA6F</td><td>NA</td></tr><tr><td>11:108216616T&gt;G</td><td>c.8565T&gt;G</td><td>p.S2855R</td><td>Missense</td><td>64</td><td>1</td><td>TCGA-BR-7196</td><td>Castellvi-Bel et al., 1999</td></tr><tr><td>11:108186638G&gt;A</td><td>c.6095G&gt;A</td><td>p.R2032K</td><td>Missense</td><td>70</td><td>1</td><td>TCGA-BR-8365</td><td>Li and Swift et al., 2000</td></tr><tr><td>11:108199929T&gt;G</td><td>c.7271T&gt;G</td><td>p.V2424G</td><td>Missense</td><td>71</td><td>1</td><td>TCGA-RD-A7BW</td><td>Stankovic et al., 1998</td></tr></table>
f0d6dea8b4ee995f2823e95db2a445636a71659f3f63cb1e217d244789b2b812.png
simple
<table><tr><td>Sector</td><td><i>N</i></td><td>pH</td><td>Tot C%</td><td>Tot N%</td><td>P (Al) mg/100 g</td><td>P (HCl) mg/100 g</td><td>K (Al) mg/100 g</td><td>K (HCl) mg/100 g</td><td>Mg (Al) mg/100 g</td><td>K (Al)/Mg (Al)</td><td>Ca (Al) mg/100 g</td><td>Cu (HCl) mg/1000 g</td></tr><tr><td>A1</td><td>6</td><td>5.9 &#177; 0.1 cd</td><td>2.05 &#177; 0.1 d</td><td>0.25 &#177; 0.02 ab</td><td>2.0 &#177; 0.3 bc</td><td>47.8 &#177; 2 b</td><td>13.2 &#177; 1 d</td><td>230 &#177; 12 cd</td><td>22.1 &#177; 3 e</td><td>0.60 &#177; 0.09 bc</td><td>197 &#177; 13 e</td><td>17.2 &#177; 2 bc</td></tr><tr><td>A2</td><td>6</td><td>5.8 &#177; 0.1 d</td><td>2.35 &#177; 0.2 abc</td><td>0.27 &#177; 0.02 ab</td><td>2.3 &#177; 0.4 abc</td><td>52.3 &#177; 3 a</td><td>14.6 &#177; 1 cd</td><td>254 &#177; 14 b</td><td>26.6 &#177; 1 cd</td><td>0.54 &#177; 0.02 c</td><td>213 &#177; 6 d</td><td>20.2 &#177; 1 a</td></tr><tr><td>B1</td><td>6</td><td>6.0 &#177; 0.1 c</td><td>2.43 &#177; 0.2 ab</td><td>0.28 &#177; 0.03 a</td><td>2.1 &#177; 0.4 abc</td><td>54.7 &#177; 2 a</td><td>14.6 &#177; 1 cd</td><td>285 &#177; 11 a</td><td>29.9 &#177; 2 ab</td><td>0.49 &#177; 0.02 d</td><td>236 &#177; 8 c</td><td>20.2 &#177; 1 a</td></tr><tr><td>B2</td><td>6</td><td>6.3 &#177; 0.2 a</td><td>2.15 &#177; 021 cd</td><td>0.28 &#177; 0.06 a</td><td>2.4 &#177; 0.6 a</td><td>47.1 &#177; 2 b</td><td>16.1 &#177; 1 bc</td><td>301 &#177; 16 a</td><td>29.3 &#177; 1 abc</td><td>0.55 &#177; 0.03 bc</td><td>289 &#177; 14 a</td><td>18.4 &#177; 3 abc</td></tr><tr><td>C1</td><td>6</td><td>5.9 &#177; 0.1 cd</td><td>2.33 &#177; 0.1 bc</td><td>0.25 &#177; 0.03 ab</td><td>2.2 &#177; 0.2 abc</td><td>55.3 &#177; 4 a</td><td>14.5 &#177; 2 cd</td><td>227 &#177; 11 cd</td><td>19.3 &#177; 2 e</td><td>0.75 &#177; 0.07 a</td><td>193 &#177; 11 e</td><td>17.8 &#177; 1 bc</td></tr><tr><td>C2</td><td>6</td><td>5.8 &#177; 0.1 d</td><td>2.55 &#177; 0.2 ab</td><td>0.28 &#177; 0.02 a</td><td>2.5 &#177; 0.4 abc</td><td>53.5 &#177; 4 a</td><td>14.8 &#177; 3 cd</td><td>219 &#177; 16 d</td><td>25.6 &#177; 4 d</td><td>0.58 &#177; 0.06 bc</td><td>214 &#177; 13 d</td><td>18.9 &#177; 2 ab</td></tr><tr><td>D1</td><td>6</td><td>6.0 &#177; 0.1 c</td><td>2.57 &#177; 0.3 a</td><td>0.27 &#177; 0.03 ab</td><td>2.7 &#177; 0.7 ab</td><td>51.5 &#177; 5 ab</td><td>18.4 &#177; 2 a</td><td>246 &#177; 24 bc</td><td>31.3 &#177; 4 a</td><td>0.59 &#177; 0.04 bc</td><td>242 &#177; 17 c</td><td>19.1 &#177; 2 ab</td></tr><tr><td>D2</td><td>6</td><td>6.1 &#177; 0.1 b</td><td>2.05 &#177; 0.1 d</td><td>0.24 &#177; 0.02 b</td><td>1.7 &#177; 0.3 c</td><td>42.0 &#177; 5 c</td><td>17.2 &#177; 1 ab</td><td>264 &#177; 23 b</td><td>27.9 &#177; 1 bcd</td><td>0.62 &#177; 0.04 b</td><td>267 &#177; 11 b</td><td>16.7 &#177; 1 c</td></tr><tr><td>Total</td><td>48</td><td>6.0 &#177; 0.2</td><td>2.3 &#177; 0.3</td><td>0.27 &#177; 0.03</td><td>2.3 &#177; 0.6</td><td>50.5 &#177; 5</td><td>15.4 &#177; 2</td><td>253 &#177; 31</td><td>26.5 &#177; 4</td><td>0.59 &#177; 0.09</td><td>253 &#177; 31</td><td>18.6 &#177; 2</td></tr></table>
f57ff703d8e8bd612bf4d18a2f7b256536764766724010471615534800285f35.png
complex
<table><tr><td rowspan="2">Component</td><td colspan="2">Low-N Plot</td><td rowspan="2">Net Change (g N m<sup>&#8211;2</sup>)</td><td colspan="2">High-N Plot</td><td rowspan="2">Net Change (g N m<sup>&#8722;2</sup>)</td></tr><tr><td>Before</td><td>After</td><td>Before</td><td>After</td></tr><tr><td colspan="7">N input&#8211;output (g N m<sup>&#8722;2</sup> year<sup>&#8722;1</sup>)</td></tr><tr><td>N input</td><td>0</td><td>5</td><td>5</td><td>0</td><td>15</td><td>15</td></tr><tr><td>N leaching</td><td>0.66</td><td>0.77</td><td>0.11</td><td>0.42</td><td>2.67</td><td>2.25</td></tr><tr><td>N retention</td><td></td><td></td><td>4.89</td><td></td><td></td><td>12.75</td></tr><tr><td colspan="7">N storage (g N m<sup>&#8722;2</sup>)</td></tr><tr><td>Aboveground biomass N</td><td>15.68</td><td>9.26</td><td>&#8722;6.42</td><td>13.36</td><td>19.12</td><td>5.76</td></tr><tr><td>Belowground biomass N</td><td>4.59</td><td>7.29</td><td>2.71</td><td>5.54</td><td>8.12</td><td>2.58</td></tr><tr><td>N mass remaining in litter</td><td>0.85</td><td>1.18</td><td>0.33</td><td>1.37</td><td>1.73</td><td>0.36</td></tr><tr><td>Soil inorganic N</td><td>4.10</td><td>3.92</td><td>&#8722;0.18</td><td>3.50</td><td>3.94</td><td>0.44</td></tr><tr><td>Estimated N storage</td><td></td><td></td><td>8.11</td><td></td><td></td><td>2.72</td></tr></table>
cf928112e2442427e1e804071d514e565240fb767e56d40ae0831dd0abd5ca58.png
complex
<table><tr><td> </td><td> </td><td colspan="5">Categories at 6 (&#177;1) months</td><td> </td><td> </td><td> </td></tr><tr><td>Baseline category</td><td>Num. of patients<sup>1</sup></td><td>A</td><td>B</td><td>C</td><td>D</td><td>E</td><td>Missing at 6 months<sup>2</sup></td><td>Category improved<sup>2</sup></td><td>Category worsened<sup>2</sup></td></tr><tr><td>A</td><td>162 (14%)</td><td>86</td><td><i>26</i></td><td><i>7</i></td><td><i>0</i></td><td><i>0</i></td><td>43 (27%)</td><td>N.A.</td><td><i>33 (20%)</i></td></tr><tr><td>B</td><td>434 (37%)</td><td>61</td><td>210</td><td>9</td><td><i>12</i></td><td><i>1</i></td><td>141 (33%)</td><td>61 (14%)</td><td><i>13 (3%)</i></td></tr><tr><td>C</td><td>208 (18%)</td><td>68</td><td>16</td><td>61</td><td><i>8</i></td><td><i>1</i></td><td>54 (26%)</td><td>68 (33%)</td><td><i>9 (4%)</i></td></tr><tr><td>D</td><td>303 (26%)</td><td>14</td><td>80</td><td>18</td><td>62</td><td>2</td><td>127 (42%)</td><td>112 (37%)</td><td>N.A.</td></tr><tr><td>E</td><td>72 (6%)</td><td>3</td><td>14</td><td>3</td><td>18</td><td>7</td><td>27 (38%)</td><td>20 (28%)</td><td>N.A.</td></tr><tr><td>Missing</td><td>3 (0.3%)</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>3</td><td> </td><td> </td></tr><tr><td>Total</td><td>1182 (100%)</td><td>232 (20%)</td><td>346 (29%)</td><td>98 (8%)</td><td>100 (8%)</td><td>11 (1%)</td><td>395 (33%)</td><td>261 (26%)</td><td><i>55 (7%)</i></td></tr><tr><td> </td><td> </td><td colspan="5">Categories at 12 (&#177;3) months</td><td> </td><td> </td><td> </td></tr><tr><td>Baseline category</td><td>Num. of patients<sup>1</sup></td><td>A</td><td>B</td><td>C</td><td>D</td><td>E</td><td>Missing at 1 year<sup>2</sup></td><td>Category improved<sup>2</sup></td><td>Category worsened<sup>2</sup></td></tr><tr><td>A</td><td>162 (14%)</td><td>83</td><td><i>22</i></td><td><i>7</i></td><td><i>1</i></td><td><i>0</i></td><td>49 (30%)</td><td>N.A.</td><td><i>30 (19%)</i></td></tr><tr><td>B</td><td>434 (37%)</td><td>58</td><td>169</td><td>7</td><td><i>11</i></td><td><i>4</i></td><td>185 (43%)</td><td>58 (13%)</td><td><i>15 (3%)</i></td></tr><tr><td>C</td><td>208 (18%)</td><td>62</td><td>21</td><td>36</td><td><i>3</i></td><td><i>0</i></td><td>86 (41%)</td><td>62 (30%)</td><td><i>3 (1%)</i></td></tr><tr><td>D</td><td>303 (26%)</td><td>20</td><td>60</td><td>16</td><td>43</td><td>1</td><td>163 (54%)</td><td>96 (32%)</td><td>N.A.</td></tr><tr><td>E</td><td>72 (6%)</td><td>7</td><td>12</td><td>4</td><td>8</td><td>4</td><td>37 (51%)</td><td>23 (32%)</td><td>N.A.</td></tr><tr><td>Missing</td><td>3 (0.3%)</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>3</td><td> </td><td> </td></tr><tr><td>Total</td><td>1182 (100%)</td><td>230 (19%)</td><td>284 (24%)</td><td>70 (6%)</td><td>66 (6%)</td><td>9 (1%)</td><td>523 (44%)</td><td>239 (24%)</td><td><i>48 (6%)</i></td></tr></table>
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<table><tr><td colspan="3"></td><td colspan="3">Delayed Effect</td><td colspan="3">Genetic Effect</td></tr><tr><td colspan="3">Traumatic reaction (ref: 17&#8211;49 on PCL-S)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td colspan="2">FY2011</td><td>OR</td><td colspan="2">95% CI</td><td>OR</td><td colspan="2">95% CI</td></tr><tr><td></td><td></td><td>&#8805;50</td><td>2.05</td><td>1.82</td><td>2.31</td><td>2.18</td><td>1.92</td><td>2.48</td></tr><tr><td></td><td colspan="2">FY2012</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>&#8805;50</td><td>1.86</td><td>1.61</td><td>2.15</td><td>2.05</td><td>1.75</td><td>2.40</td></tr><tr><td></td><td colspan="2">FY2013</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>&#8805;50</td><td>1.88</td><td>1.62</td><td>2.17</td><td>1.82</td><td>1.55</td><td>2.15</td></tr><tr><td colspan="3">Basic characteristics (FY2011)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td colspan="2">Gender (ref: Men)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>Women</td><td>1.27</td><td>1.18</td><td>1.36</td><td>1.30</td><td>1.22</td><td>1.40</td></tr><tr><td></td><td colspan="2">Age (Ref: 50&#8211;64)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>15&#8211;49</td><td>1.52</td><td>1.40</td><td>1.65</td><td>1.12</td><td>1.03</td><td>1.21</td></tr><tr><td></td><td></td><td>&#8805;65</td><td>0.97</td><td>0.88</td><td>1.06</td><td>1.08</td><td>0.99</td><td>1.18</td></tr><tr><td></td><td colspan="2">Education (ref: High school)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>Junior high school</td><td>1.11</td><td>1.00</td><td>1.23</td><td>1.11</td><td>1.01</td><td>1.23</td></tr><tr><td></td><td></td><td>College or higher</td><td>0.88</td><td>0.81</td><td>0.95</td><td>0.82</td><td>0.76</td><td>0.89</td></tr><tr><td colspan="3">Exposure to the disaster (FY2011)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td colspan="2">Tsunami (ref: No)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>Yes</td><td>0.99</td><td>0.91</td><td>1.08</td><td>1.03</td><td>0.95</td><td>1.12</td></tr><tr><td></td><td colspan="2">NPP accident (ref: No)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>Yes</td><td>1.30</td><td>1.21</td><td>1.40</td><td>1.35</td><td>1.26</td><td>1.45</td></tr><tr><td></td><td colspan="2">Bereavement (ref: No)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>Yes</td><td>1.26</td><td>1.16</td><td>1.37</td><td>1.24</td><td>1.14</td><td>1.35</td></tr><tr><td colspan="3">Secondary stressors (FY2013)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td colspan="2">Living in other prefecture (ref: No)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>Yes</td><td>1.03</td><td>0.94</td><td>1.13</td><td>0.92</td><td>0.84</td><td>1.01</td></tr><tr><td></td><td colspan="2">Family separation (ref: No)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>FY2012 or FY2013</td><td>1.21</td><td>1.08</td><td>1.35</td><td>1.21</td><td>1.08</td><td>1.36</td></tr><tr><td></td><td></td><td>FY2012 &amp; FY2013</td><td>1.11</td><td>1.03</td><td>1.20</td><td>1.16</td><td>1.08</td><td>1.26</td></tr><tr><td></td><td colspan="2">Number of relocations (ref: 0&#8211;2)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>3&#8211;4</td><td>1.07</td><td>0.98</td><td>1.17</td><td>1.08</td><td>0.99</td><td>1.17</td></tr><tr><td></td><td></td><td>&#8805;5</td><td>1.19</td><td>1.09</td><td>1.30</td><td>1.20</td><td>1.10</td><td>1.31</td></tr><tr><td rowspan="2"></td><td colspan="2">Living circumstances</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td colspan="2">(ref: well off/relatively well-off/normal)</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td>Poor/relatively poor</td><td>1.85</td><td>1.72</td><td>1.98</td><td>1.84</td><td>1.71</td><td>1.97</td></tr></table>
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<table><tr><td></td><td>M5:M5</td><td>M5:G1F</td><td>M5:M3G1F</td><td>M5:G0F</td><td>M5:M3G0F</td><td>G0F:G0F</td></tr><tr><td>Calculated relative</td><td>0.62%</td><td>1.12%</td><td>0.11%</td><td>5.29%</td><td>0.18%</td><td>45.43%</td></tr><tr><td>Calculated relative to the most abundant G0F:G0F</td><td>1.36%</td><td>2.46%</td><td>0.24%</td><td>11.64%</td><td>0.40%</td><td>100%</td></tr><tr><td>Observed relative to the most abundant G0F:G0F</td><td>5.13%</td><td>ND</td><td>ND</td><td>12.73%</td><td>ND</td><td>100%</td></tr></table>
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<table><tr><td>Variable</td><td>Normal BMD group (N = 17)</td><td>Low BMD group (N = 17)</td><td>MannWhitney p-value</td></tr><tr><td>Trunk</td><td> </td><td> </td><td> </td></tr><tr><td>Tilt ROM</td><td>4.05 &#177; 1.31</td><td>4.34 &#177; 1.79</td><td>0.53</td></tr><tr><td>Rotation ROM</td><td>16.06 &#177; 4.46</td><td>12.60 &#177; 4.96</td><td>0.02<sup>*</sup></td></tr><tr><td>Obliquity ROM</td><td>9.49 &#177; 2.59</td><td>8.52 &#177; 3.03</td><td>0.32</td></tr><tr><td>Hip</td><td> </td><td> </td><td> </td></tr><tr><td>Sagittal ROM</td><td>41.24 &#177; 7.36</td><td>38.39 &#177; 5.57</td><td>0.17</td></tr><tr><td>Coronal ROM</td><td>11.50 &#177; 3.68</td><td>11.42 &#177; 3.17</td><td>0.86</td></tr><tr><td>Transverse ROM</td><td>14.28 &#177; 2.36</td><td>12.54 &#177; 3.25</td><td>0.08</td></tr></table>
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<table><tr><td colspan="2"> </td></tr><tr><td colspan="2">Socio-demographic characteristics</td></tr><tr><td>Mean age (range) years</td><td>21 (17 &#8211; 30)</td></tr><tr><td>Occupation (n)</td><td> </td></tr><tr><td> Farmer</td><td>3</td></tr><tr><td> Factory worker</td><td>2</td></tr><tr><td> Student</td><td>1</td></tr><tr><td>Education level (n)</td><td> </td></tr><tr><td> Completed secondary school</td><td>5</td></tr><tr><td> Vocational high school training</td><td>1</td></tr><tr><td>Marital status (n)</td><td> </td></tr><tr><td> Married</td><td>6</td></tr><tr><td>Perception of economic status (n)</td><td> </td></tr><tr><td> Similar to other households in this area</td><td>6</td></tr><tr><td>Parity (n)</td><td> </td></tr><tr><td> Nulliparous</td><td>4</td></tr><tr><td> Multiparous</td><td>2</td></tr><tr><td>Number of household members over prior six months, median (range)</td><td>5 (4 &#8211; 6)</td></tr><tr><td>Persons participant living with in the same household (n)</td><td> </td></tr><tr><td> Husband</td><td>6</td></tr><tr><td> Mother-in-law</td><td>6</td></tr><tr><td> Father-in-law</td><td>6</td></tr><tr><td> Husband&#8217;s brother/sister</td><td>2</td></tr><tr><td> Husband&#8217;s grandmother</td><td>1</td></tr><tr><td> Mother</td><td>2</td></tr><tr><td colspan="2">Reproductive health</td></tr><tr><td> Median gestation (range) weeks</td><td>32.5 (28 &#8211; 35)</td></tr><tr><td>Current pregnancy (n)</td><td> </td></tr><tr><td> Very welcome</td><td>6</td></tr><tr><td colspan="2">Coincidental adverse events</td></tr><tr><td> No current worrying or distressing coincidental life events</td><td>6</td></tr><tr><td colspan="2">Relationship with partner</td></tr><tr><td>Ever experienced fear of husband over the past year (n)</td><td> </td></tr><tr><td> Never</td><td>4</td></tr><tr><td> Sometimes or often</td><td>2</td></tr><tr><td>Ever physically hurt by husband over last year (n)</td><td> </td></tr><tr><td> Never</td><td>6</td></tr></table>
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<table><tr><td colspan="2"><i>Sociodemographic characteristics</i></td><td colspan="2"><i>Health-related characteristics</i></td></tr><tr><td>Males N (%)</td><td>119 (41.8)</td><td>Smokers N (%)</td><td>81 (28.4)</td></tr><tr><td>Mean Age in years (SD)</td><td>50.18 (10.1)</td><td>Mean Pack-years for smokers (SD)</td><td>24.82 (21.8)</td></tr><tr><td>Married N (%)</td><td>188 (66)</td><td>Mean BMI in Kg/m<sup>2</sup> (SD)</td><td>26.34 (5.34)</td></tr><tr><td>Living alone N (%)</td><td>55 (19.3)</td><td>Diagnosis of Disease N (%)</td><td>130 (45.6)</td></tr><tr><td>Having children N (%)</td><td>209 (73.3)</td><td>Mean PSS score (SD)</td><td>26.35 (7.99)</td></tr><tr><td>Tertiary education N (%)</td><td>165 (57.9)</td><td>Mean Internal HLC score (SD)</td><td>26.12 (4.96)</td></tr><tr><td>Employed N (%)</td><td>214 (75.1)</td><td>Mean External HLC score (SD)</td><td>22.23 (6.04)</td></tr><tr><td>Working shifts N (%)</td><td>64 (22.5)</td><td>Mean Chance HLC score (SD)</td><td>16.75 (6.04)</td></tr><tr><td rowspan="4">Caregivers N (%)</td><td rowspan="4">22 (7.7)</td><td>SRRS score N (%)</td><td></td></tr><tr><td>&#8804;150</td><td>164 (57.5)</td></tr><tr><td>151-299</td><td>80 (28.1)</td></tr><tr><td>&#8805;300</td><td>41 (14.4)</td></tr><tr><td rowspan="2" colspan="2"></td><td>Mean Sleep Quality (SD)</td><td>6.16 (2.13)</td></tr><tr><td>Mean Health Assessment (in a scale from 1 to 10) (SD)</td><td>7.48 (1.4)</td></tr></table>
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<table><tr><td> </td><td>Prevalence %</td><td>Step 1: Multivariable <i>&#946; </i>(95% CI) Adjusted for age, sex and BMI<sup>f</sup></td><td>Step 2: Multivariable <i>&#946; </i>(95% CI)<sup>&#167; </sup>Further adjusted for all variables significant in Step 1</td></tr><tr><td>Diagnosed OA of:</td><td> </td><td> </td><td> </td></tr><tr><td>Neck</td><td>168 (15)</td><td>2.72 (1.80 to 3.64)</td><td>&#8722;0.32 (&#8722;0.96 to 0.32)</td></tr><tr><td>Shoulders</td><td>193 (18)</td><td>3.58 (2.34 to 4.81)</td><td>0.23 (&#8722;0.64 to 1.10)</td></tr><tr><td>Back</td><td>167 (15)</td><td>3.41 (2.54 to 4.28)</td><td>0.71 (0.02 to 1.41)</td></tr><tr><td>Hips</td><td>97 (9)</td><td>3.05 (1.93 to 4.17)</td><td>0.04 (&#8722;0.74 to 0.82)</td></tr><tr><td>Hands</td><td>113 (10)</td><td>2.32 (1.41 to 3.23)</td><td>0.09 (&#8722;0.55 to 0.72)</td></tr><tr><td>Knees</td><td>152 (14)</td><td>2.48 (1.52 to 3.43)</td><td>0.15 (&#8722;0.55 to 0.85)</td></tr><tr><td>Feet</td><td>103 (9)</td><td>3.40 (2.21 to 4.59)</td><td>0.30 (&#8722;0.49 to 1.09)</td></tr><tr><td>Hip JSN (yes/no)</td><td>377 (37)</td><td>0.34 (&#8722;0.31 to 0.99)</td><td>-</td></tr><tr><td>Knee JSN (yes/no)</td><td>688 (67)</td><td>0.06 (&#8722;0.60 to 0.72)</td><td>-</td></tr><tr><td>Hip osteophyte (yes/no)</td><td>190 (19)</td><td>&#8722;0.10 (&#8722;0.89 to 0.69)</td><td>-</td></tr><tr><td>Knee osteophyte (yes/no)</td><td>143 (14)</td><td>&#8722;0.31 (&#8722;1.21 to 0.59)</td><td>-</td></tr><tr><td>Pain in the:</td><td> </td><td> </td><td> </td></tr><tr><td>Neck (yes/no)</td><td>514 (47)</td><td>3.14 (2.58 to 3.71)</td><td>0.65 (0.16 to 1.15)</td></tr><tr><td>Shoulder (yes/no)</td><td>674 (62)</td><td>3.35 (2.77 to 3.93)</td><td>1.03 (0.52 to 1.54)</td></tr><tr><td>Back (yes/no)</td><td>481 (44)</td><td>2.94 (2.39 to 3.50)</td><td>0.58 (0.12 to 1.05)</td></tr><tr><td>Hip (yes/no)</td><td>481 (44)</td><td>2.44 (1.83 to 3.04)</td><td>0.26 (&#8722;0.18 to 0.70)</td></tr><tr><td>Hand (yes/no)</td><td>505 (46)</td><td>2.63 (2.05 to 3.22)</td><td>0.50 (0.04 to 0.96)</td></tr><tr><td>Knee (yes/no)</td><td>451 (41)</td><td>2.72 (2.13 to 3.31)</td><td>0.41 (&#8722;0.04 to 0.86)</td></tr><tr><td>Foot (yes/no)</td><td>412 (38)</td><td>3.27 (2.64 to 3.89)</td><td>1.13 (0.62 to 1.63)</td></tr></table>
580d3e21cfa11f33757f940dde7efb238ceacb7a6b4ff969a933cad9cde2953c.png
complex
<table><tr><td></td><td></td><td colspan="2">GGT</td><td colspan="2">Vitamin C</td></tr><tr><td></td><td>Sample (<i>n</i>)</td><td>&#946;-Coefficient</td><td><i>p</i>-Value for trend</td><td>&#946;-Coefficient</td><td><i>p</i>-Value for trend</td></tr><tr><td>Race</td></tr><tr><td> Non-Hispanic white</td><td>4,485</td><td>0.073</td><td>&lt; 0.01</td><td>&#8722;0.147</td><td>&lt; 0.01</td></tr><tr><td> Non-Hispanic black</td><td>2,820</td><td>0.098</td><td>&lt; 0.01</td><td>&#8722;0.153</td><td>&lt; 0.01</td></tr><tr><td> Others</td><td>2,793</td><td>0.009</td><td>0.43</td><td>&#8722;0.082</td><td>&lt; 0.01</td></tr><tr><td> <i>p</i>-Value for interaction</td><td></td><td>&lt; 0.01</td><td></td><td>0.70</td><td></td></tr><tr><td>Sex</td></tr><tr><td> Men</td><td>4,799</td><td>0.058</td><td>&lt; 0.01</td><td>&#8722;0.140</td><td>&lt; 0.01</td></tr><tr><td> Women</td><td>5,299</td><td>0.046</td><td>&lt; 0.01</td><td>&#8722;0.118</td><td>&lt; 0.01</td></tr><tr><td> <i>p</i>-Value for interaction</td><td></td><td>0.03</td><td></td><td>&lt; 0.01</td><td></td></tr><tr><td>Age (years)</td></tr><tr><td> 20&#8211;39</td><td>4,178</td><td>0.097</td><td>&lt; 0.01</td><td>&#8722;0.223</td><td>&lt; 0.01</td></tr><tr><td> 40&#8211;59</td><td>2,831</td><td>0.048</td><td>&lt; 0.01</td><td>&#8722;0.145</td><td>&lt; 0.01</td></tr><tr><td> &#8805;60</td><td>3,089</td><td>0.014</td><td>0.10</td><td>&#8722;0.081</td><td>&lt; 0.01</td></tr><tr><td> <i>p</i>-Value for interaction</td><td></td><td>&lt; 0.01</td><td></td><td>&lt; 0.01</td><td></td></tr><tr><td>Smoking</td></tr><tr><td> Never</td><td>5,016</td><td>0.029</td><td>0.01</td><td>&#8722;0.048</td><td>&lt; 0.01</td></tr><tr><td> Ex</td><td>2,550</td><td>0.051</td><td>&lt; 0.01</td><td>&#8722;0.069</td><td>&lt; 0.01</td></tr><tr><td> Current</td><td>2,532</td><td>0.056</td><td>&lt; 0.01</td><td>&#8722;0.103</td><td>&lt; 0.01</td></tr><tr><td> <i>p</i>-Value for interaction</td><td></td><td>0.62</td><td></td><td>&lt; 0.01</td><td></td></tr><tr><td>Drinking</td></tr><tr><td> No</td><td>7,707</td><td>0.036</td><td>&lt; 0.01</td><td>&#8722;0.102</td><td>&lt; 0.01</td></tr><tr><td> Yes</td><td>2,391</td><td>0.133</td><td>&lt; 0.01</td><td>&#8722;0.247</td><td>&lt; 0.01</td></tr><tr><td> <i>p</i>-Value for interaction</td><td></td><td>&lt; 0.01</td><td></td><td>&lt; 0.01</td><td></td></tr><tr><td>BMI</td></tr><tr><td> &lt; 25</td><td>3,900</td><td>0.105</td><td>&lt; 0.01</td><td>&#8722;0.188</td><td>&lt; 0.01</td></tr><tr><td> 25&#8211;29.9</td><td>3,567</td><td>0.045</td><td>&lt; 0.01</td><td>&#8722;0.090</td><td>&lt; 0.01</td></tr><tr><td> &#8805;30</td><td>2,631</td><td>0.032</td><td>0.02</td><td>&#8722;0.107</td><td>&lt; 0.01</td></tr><tr><td> <i>p</i>-Value for interaction</td><td></td><td>&lt; 0.01</td><td></td><td>&lt; 0.01</td><td></td></tr></table>
1673cd4f4944e6891fe2ea91b89f06d878f22d5a4fbda1f73d67429e81d772f2.png
complex
<table><tr><td></td><td colspan="2">Men (N = 1206)</td><td colspan="2">Women (N = 1681)</td></tr><tr><td>Numbers of deformities</td><td>% (N)</td><td>95% CI (%)</td><td>% (N)</td><td>95% CI (%)</td></tr><tr><td>At least 1 deformity</td><td>9.7 (117)</td><td>8.0, 11.</td><td>7.8 (131)</td><td>46.5, 9.1</td></tr><tr><td>2 deformities</td><td>3.0 (36)</td><td>2.0, 4.0</td><td>2.5 (42)</td><td>1.8, 3.2</td></tr><tr><td>3 deformities or more</td><td>1.0 (13)</td><td>0.4, 1.6</td><td>1.4 (26)</td><td>0.8, 2.0</td></tr><tr><td>All</td><td>13.8 (166)</td><td>11.9, 15.8</td><td>11.8 (199)</td><td>10.4, 13.5</td></tr></table>
6aaa32c92ca6fce8e7cb83d9f7d598b65bbbca8daf888ea1c614e31162ced081.png
complex
<table><tr><td>Types</td><td><i>n</i></td><td colspan="3">Age (yr) (%)</td><td colspan="2">Menstrual status (%)</td></tr><tr><td> </td><td> </td><td>&#8804; 40</td><td>41 to 60</td><td>&gt;60</td><td>Postmenopausal</td><td>Premenopausal</td></tr><tr><td>Type I</td><td>55</td><td>12 (21.8)</td><td>39 (70.9)</td><td>4 (7.3)</td><td>22 (20.0)</td><td>33 (80.0)</td></tr><tr><td>Type II</td><td>30</td><td>4 (13.3)</td><td>24 (80.0)</td><td>2 (6.7)</td><td>17 (56.7)</td><td>13 (43.3)</td></tr><tr><td>Type III</td><td>5</td><td>1 (20.0)</td><td>3 (60.0)</td><td>1 (20.0)</td><td>1 (20.0)</td><td>4 (80.0)</td></tr><tr><td><i>&#967;</i><sup>2</sup></td><td> </td><td> </td><td> </td><td> </td><td colspan="2">3.465</td></tr><tr><td><i>P</i> value<sup>a</sup></td><td> </td><td colspan="3">0.393</td><td colspan="2">0.177</td></tr></table>
b63fc1ec2b728339ac3b5d4bcde195f143916d425a1ea8080c2b09bca1ee9a71.png
simple
<table><tr><td>marker</td><td># of markers</td><td>detectable strains</td><td>data quality</td></tr><tr><td>Minimal set of SNPs</td><td>2</td><td>known</td><td>perfect</td></tr><tr><td>All SNPs + VNTRs</td><td>150+15</td><td>some unknown</td><td>moderate</td></tr><tr><td>CDSs</td><td>~10,000</td><td>many unknown</td><td>poor</td></tr><tr><td>Sequence alignment</td><td>~5,300,000</td><td>arbitrary</td><td>arbitrary</td></tr></table>
077a079636ae9c8b288c44452837829e766ab5708883e3deaf8a67a0c27a5461.png
complex
<table><tr><td rowspan="2">Factor</td><td colspan="2">Patients no</td><td rowspan="2">P Value</td></tr><tr><td>CR</td><td>PR</td></tr><tr><td>Sex</td><td></td><td></td><td rowspan="3">0.889</td></tr><tr><td>Male</td><td>45 (64.2%)</td><td>7 (10.2%)</td></tr><tr><td>Female</td><td>15 (21.4%)</td><td>3 (4.2%)</td></tr><tr><td>Pathological subtype</td><td></td><td></td><td rowspan="4">0.133</td></tr><tr><td>Non keratinizing</td><td>9 (12.9%)</td><td>4 (5.7%)</td></tr><tr><td>Undifferentiated</td><td>45 (64.3%)</td><td>5 (7.1%)</td></tr><tr><td>Basaloid</td><td>5 (7.1%)</td><td>2 (2.9 %)</td></tr><tr><td>Baseline T stage</td><td></td><td></td><td rowspan="5"><i>&lt;0 .001</i></td></tr><tr><td>T1</td><td>7 (10.1%)</td><td></td></tr><tr><td>T2</td><td>26 (37.1%)</td><td></td></tr><tr><td>T3</td><td>25 (35.7%)</td><td>4 (5.7%)</td></tr><tr><td>T4</td><td>3 (4.3%)</td><td>5 (7.1%)</td></tr><tr><td>Baseline N stage</td><td></td><td></td><td rowspan="5"><i>0.002</i></td></tr><tr><td>N0</td><td>18 (25.7%)</td><td></td></tr><tr><td>N1</td><td>34 (48.6%)</td><td>5 (7.1%)</td></tr><tr><td>N2</td><td>9 (12.9%)</td><td>1 (1.4%)</td></tr><tr><td>N3</td><td>3 (4.3%)</td><td></td></tr><tr><td>Radiation Technique</td><td></td><td></td><td rowspan="3"><i>0.412</i></td></tr><tr><td>3DCRT</td><td>48 (68.6%)</td><td>3 (4.2%)</td></tr><tr><td>IMRT</td><td>15 (21.4%)</td><td>4 (5.8%)</td></tr><tr><td>Concurrent Chemo-radiationBreak</td><td></td><td></td><td rowspan="3"><i>&lt;0 .001</i></td></tr><tr><td>&lt;7 Days</td><td>56 (80%)</td><td>4 (5.7%)</td></tr><tr><td>&gt;7 Days</td><td>3 (4.3%)</td><td>7 (10 %)</td></tr><tr><td>Pretreatment Pet- CTSUVmaxprimary</td><td></td><td></td><td rowspan="3"><i>041</i></td></tr><tr><td>&lt;8</td><td>32 (45.7%)</td><td>6 (8.6%)</td></tr><tr><td>&#8805; 8</td><td>28 (40%)</td><td>4 (5.7%)</td></tr></table>
dfab385948ff569c784f1a7fe43819ab4da57afd55617957da5ecaff1571ccc7.png
complex
<table><tr><td></td><td></td><td colspan="6">ELISA</td><td colspan="4">PCR</td></tr><tr><td></td><td></td><td colspan="2"><i>B. bigemina</i></td><td colspan="2"><i>B. bovis</i></td><td colspan="2"><i>B. bigemina and B. bovis</i></td><td colspan="2"><i>B. bigemina</i></td><td colspan="2"><i>B. bovis</i></td></tr><tr><td>Governorate</td><td>No. tested animals</td><td>No. of positive animals</td><td>Infection (%)</td><td>No. of positive animals</td><td>Infection (%)</td><td>No. of positive animals</td><td>Co-infection (%)</td><td>No. of positive animals</td><td>Infection (%)</td><td>No. of infected animals</td><td>Infection (%)</td></tr><tr><td>Kafr El-Sheikh</td><td>7</td><td>5</td><td>71.4</td><td>3</td><td>42.9</td><td>2</td><td>28.6</td><td>0</td><td>0</td><td>2</td><td>28.6</td></tr><tr><td>El-Beheira</td><td>74</td><td>13</td><td>17.6</td><td>15</td><td>20.3</td><td>3</td><td>4.1</td><td>0</td><td>0</td><td>1</td><td>1.4</td></tr><tr><td>Total</td><td>81</td><td>18</td><td>22.2</td><td>18</td><td>22.2</td><td>5</td><td>6.2</td><td>0</td><td>0</td><td>3</td><td>3.7</td></tr></table>
60a1f67059df53b73f2c6aaa5e8406037f4e554a843b212b6b8666101fae1564.png
simple
<table><tr><td>Author</td><td>Aims scope</td><td>Ethical dimension</td><td>Study design</td><td>Rigour</td><td>Analysis procedure</td><td>Depth/detail</td><td>Credibility</td><td>Relevance transferability</td><td>Contribution to knowledge</td><td>Overall quality</td></tr><tr><td>Andersen et al. (a) and (b)</td><td>VG</td><td>VG</td><td>VG</td><td>G</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Apps et al.</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Boeckxstaens et al.</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Brandt</td><td>G</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>L</td><td>L</td><td>G</td><td>G</td><td><i>G</i></td></tr><tr><td>Brien et al.</td><td>VG</td><td>VG</td><td>G</td><td>G</td><td>G</td><td>G</td><td>G</td><td>G</td><td>G</td><td>G</td></tr><tr><td>Chang et al.</td><td>VG</td><td>G</td><td>G</td><td>G</td><td>VG</td><td>G</td><td>G</td><td>G</td><td>G</td><td>G</td></tr><tr><td>Chen et al. (a) and (b)</td><td>VG</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td><td>L</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Cicutto et al.</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Duangpaeng et al.</td><td>VG</td><td>G</td><td>G</td><td>G</td><td>G</td><td>G</td><td>L</td><td>G</td><td>G</td><td><i>G</i></td></tr><tr><td>Ehrlich et al.</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Fotokain et al.</td><td>G</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>G</td><td>G</td><td>G</td><td>G</td><td>G</td></tr><tr><td>Gysels and Higginson</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Harris et al.</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Harrison et al.</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Hillebregt et al.</td><td>G</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>G</td><td>G</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Hyde et al.</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Johnston et al. (a)</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>G</td><td>G</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Johnston et al. (b)</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Kayyali et al.</td><td>VG</td><td>G</td><td>G</td><td>G</td><td>G</td><td>G</td><td>L</td><td>G</td><td>G</td><td>G</td></tr><tr><td>McCabe et al.</td><td>VG</td><td>G</td><td>VG</td><td>G</td><td>G</td><td>G</td><td>G</td><td>VG</td><td>VG</td><td><i>G</i></td></tr><tr><td>Ogunbayo et al.</td><td>VG</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Panos et al.</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Robinson et al.</td><td>VG</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Sheridan et al.</td><td>VG</td><td>VG</td><td>VG</td><td>G</td><td>L</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Stellefson et al.</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>G</td><td>G</td><td>VG</td></tr><tr><td>Summers et al.</td><td>VG</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Verbrugge et al.</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Wong et al.</td><td>VG</td><td>VG</td><td>VG</td><td>G</td><td>G</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Wortz et al.</td><td>VG</td><td>VG</td><td>G</td><td>G</td><td>G</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Young et al.</td><td>VG</td><td>VG</td><td>VG</td><td>G</td><td>G</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td>VG</td></tr><tr><td>Zakrisson and Hagglund</td><td>VG</td><td>G</td><td>G</td><td>G</td><td>G</td><td>VG</td><td>G</td><td>VG</td><td>VG</td><td><i>G</i></td></tr></table>
f4648de2f8e4eec2d881e6e34f0b5a8ccc04246803f5315d7a2553f18c29bcec.png
complex
<table><tr><td rowspan="2">Sample</td><td colspan="4">Peel</td><td colspan="4">Pulp</td></tr><tr><td><i>K. pneumoniae</i></td><td>Activity</td><td><i>S. aureus</i></td><td>Activity</td><td><i>K. pneumoniae</i></td><td>Activity</td><td><i>S. aureus</i></td><td>Activity</td></tr><tr><td>Jeruk Nipis</td><td>4.2 &#177; 1.8a</td><td>Bactericide</td><td>3.5 &#177;1.4a,b</td><td>Bacteriostatic</td><td>4.1 &#177; 0.4a,b</td><td>Bactericide</td><td>3.1 &#177; 0.6a,b</td><td>Bactericide</td></tr><tr><td>Jeruk Purut</td><td>4.6 &#177; 1.2a</td><td>Bacteriostatic</td><td>4.8 &#177; 1.7a,b</td><td>Bactericide</td><td>5.5 &#177; 1.1a,b</td><td>Bactericide</td><td>3.4 &#177; 0.9a,b</td><td>Bactericide</td></tr><tr><td>Calung</td><td>5.6 &#177; 0.7a</td><td>Bacteriostatic</td><td>7.0 &#177; 1.9b</td><td>Bacteriostatic</td><td>7.5 &#177; 1.1b</td><td>Bactericide</td><td>6.2 &#177; 2.0b</td><td>Bacteriostatic</td></tr><tr><td>Makin</td><td>4.1 &#177; 0.9a</td><td>Bacteriostatic</td><td>2.5 &#177; 0.5a</td><td>Bactericide</td><td>3.3 &#177; 0.3a </td><td>Bactericide</td><td>2.6 &#177; 0.6a</td><td>Bactericide</td></tr><tr><td>Kruet Mameh</td><td>4.3 &#177; 0.9a</td><td>Bactericide</td><td>4.1 &#177; 1.0a,b</td><td>Bactericide</td><td>6.8 &#177; 2.5a,b</td><td>Bacteriostatic</td><td>4.7 &#177; 1.5a,b</td><td>Bacteriostatic</td></tr><tr><td>Mentui</td><td>11.6 &#177; 3.5b</td><td>Bacteriostatic</td><td>4.8 &#177; 1.8a,b</td><td>Bacteriostatic</td><td>6.3 &#177; 1.0a,b</td><td>Bacteriostatic</td><td>4.1 &#177; 0.5a,b</td><td>Bacteriostatic</td></tr></table>
f42847331f4f26cf8b67f272606da2f57712659e10eb7406f7f049b887b72836.png
simple
<table><tr><td>Gene symbol</td><td>Gene title</td><td>log2 fold change</td><td><i>P</i>-value</td></tr><tr><td><i>VTRNA1-2</i></td><td>vault RNA 1-2</td><td>2.28</td><td>0.026</td></tr><tr><td><i>PGF</i></td><td>Placenta growth factor</td><td>0.70</td><td>0.013</td></tr><tr><td><i>RNH1</i></td><td>ribonuclease/angiogenin inhibitor 1</td><td>0.57</td><td>0.036</td></tr><tr><td><i>ITPK1</i></td><td>inositol 1,3,4-triphosphate 5/6 kinase</td><td>0.55</td><td>0.037</td></tr><tr><td><i>Mir-503</i></td><td>microRNA 503</td><td>0.52</td><td>0.047</td></tr><tr><td><i>RAD23A</i></td><td>RAD23 homolog A (<i>S. cerevisiae</i>)</td><td>0.52</td><td>0.013</td></tr><tr><td><i>APOC1</i></td><td>apolipoprotein C-I</td><td>0.50</td><td>0.037</td></tr><tr><td><i>USP15</i></td><td>ubiquitin specific peptidase 15</td><td>&#8722;0.87</td><td>0.026</td></tr><tr><td><i>PPP1R12A</i></td><td>protein phosphatase 1. regulatory (inhibitor) subunit 12A</td><td>&#8722;0.88</td><td>0.021</td></tr><tr><td><i>FNBP1L</i></td><td>formin binding protein 1-like</td><td>&#8722;0.89</td><td>0.046</td></tr><tr><td><i>SMC6</i></td><td>structural maintenance of chromosomes 6</td><td>&#8722;0.92</td><td>0.026</td></tr><tr><td><i>SMC4</i></td><td>structural maintenance of chromosomes 4</td><td>&#8722;0.92</td><td>0.024</td></tr><tr><td><i>ROCK2</i></td><td>Rho-associated. coiled-coil containing protein kinase 2</td><td>&#8722;0.92</td><td>0.021</td></tr><tr><td><i>AKAP9</i></td><td>A kinase (PRKA) anchor protein (yotiao) 9</td><td>&#8722;0.94</td><td>0.028</td></tr><tr><td><i>COPS2</i></td><td>COP9 constitutive photomorphogenic homolog subunit 2 (Arabidopsis)</td><td>&#8722;0.98</td><td>0.008</td></tr><tr><td><i>GCC2</i></td><td>GRIP and coiled-coil domain containing 2</td><td>&#8722;1.02</td><td>0.019</td></tr><tr><td><i>ROCK1</i></td><td>Rho-associated. coiled-coil containing protein kinase 1</td><td>&#8722;1.07</td><td>0.028</td></tr></table>
8e7803222395a248696ed391dc85fd56c29843770de96edac2003224e13d780c.png
simple
<table><tr><td>Assembly</td><td>Dz (nm)</td><td>&#950; (mV)</td><td>P</td><td>References</td></tr><tr><td>DODAB BF</td><td>59 &#177; 1</td><td>43 &#177; 2</td><td>0.215 &#177; 0.006</td><td>[24]</td></tr><tr><td>DODAB BF</td><td>55 &#177; 1</td><td>36 &#177; 2</td><td>0.248 &#177; 0.004</td><td>This work</td></tr><tr><td>DODAB BF/Gr</td><td>54 &#177; 1</td><td>72 &#177; 4</td><td>0.277 &#177; 0.004</td><td>[24]</td></tr><tr><td>DODAB BF/Gr</td><td>71 &#177; 1</td><td>58 &#177; 2</td><td>0.261 &#177; 0.003</td><td>This work</td></tr><tr><td>PSS</td><td>137 &#177; 2 *</td><td>-</td><td>-</td><td>-</td></tr><tr><td>PSS</td><td>140 &#177; 2</td><td>-43 &#177; 3</td><td>0.038 &#177; 0.013</td><td>This work</td></tr><tr><td>PSS/DODAB</td><td>149 &#177; 1</td><td>30 &#177; 2</td><td>0.049 &#177; 0.014</td><td>[11]</td></tr><tr><td>PSS/DODAB/Gr</td><td>150 &#177; 1</td><td>42 &#177; 2</td><td>0.039 &#177; 0.015</td><td>This work</td></tr></table>
17a9cb2560756208243e9ba831043aa479e0ae1201831b33457386cc1394c08b.png
simple
<table><tr><td> </td><td>Study sample</td><td> </td><td>All first-time fathers in Norway*</td><td> </td><td> </td></tr><tr><td> </td><td>n</td><td>%</td><td>n</td><td>%</td><td>p-value**</td></tr><tr><td>Age groups</td><td> </td><td> </td><td> </td><td> </td><td>&lt;0.001</td></tr><tr><td>25-34 years</td><td>11 363</td><td>76.6</td><td>163 063</td><td>77.0</td><td> </td></tr><tr><td>35-39 years</td><td>2 693</td><td>18.2</td><td>34 291</td><td>16.2</td><td> </td></tr><tr><td>&#8805;40 years</td><td>776</td><td>5.2</td><td>14 408</td><td>6.8</td><td> </td></tr><tr><td>Mother tongue other than Norwegian</td><td>1 016</td><td>6.9</td><td>46 293</td><td>21.9</td><td>&lt;0.001</td></tr><tr><td>Education</td><td> </td><td> </td><td> </td><td> </td><td>&lt;0.001</td></tr><tr><td>Primary school</td><td>288</td><td>2.0</td><td>29 511</td><td>13.9</td><td> </td></tr><tr><td>Secondary school</td><td>4 862</td><td>33.7</td><td>87 850</td><td>41.5</td><td> </td></tr><tr><td>Higher education &#8804;4 years</td><td>4 301</td><td>29.8</td><td>53 193</td><td>25.1</td><td> </td></tr><tr><td>Higher education &gt;4 years</td><td>4 984</td><td>34.5</td><td>27 635</td><td>13.1</td><td> </td></tr><tr><td>Unknown</td><td>397</td><td>2.7</td><td>13 573</td><td>6.4</td><td> </td></tr></table>
3fb76f9383f7a41b708f7f6380149a43b4215acd10be29af312cbb9d3bf22e74.png
simple
<table><tr><td></td><td></td><td></td><td></td><td><i>p</i>-value<sup>+</sup></td></tr><tr><td></td><td>CONV</td><td>UTR</td><td>UCR</td><td>Overall</td></tr><tr><td>N participants with dry weight reduction</td><td>12</td><td>17</td><td>14</td><td></td></tr><tr><td>DBP-pre: BCM Measurement [mmHg]</td><td>74 &#177; 15</td><td>67 &#177; 13</td><td>76 &#177; 20</td><td>0.23</td></tr><tr><td>DBP-pre: Start Intervention Phase [mmHg]</td><td>73 &#177; 14</td><td>70 &#177; 15</td><td>85 &#177; 26</td><td>0.09</td></tr><tr><td>DBP-post: Start Intervention Phase [mmHg]</td><td>70 &#177; 13</td><td>66 &#177; 13</td><td>75 &#177; 14</td><td>0.17</td></tr><tr><td>DBP-pre: End Intervention Phase [mmHg]</td><td>66 &#177; 11</td><td>64 &#177; 11</td><td>76 &#177; 13</td><td>0.02</td></tr><tr><td>DBP-post: End Intervention Phase [mmHg]</td><td>57 &#177; 15</td><td>63 &#177; 12</td><td>69 &#177; 14</td><td>0.10</td></tr><tr><td>Delta DBP-pre: Start-to-End In Ph. [mmHg]</td><td>&#8722;7 &#177; 11</td><td>&#8722;5 &#177; 12</td><td>&#8722;8 &#177; 31</td><td>0.10</td></tr><tr><td>Delta DBP-post: Start-to-End In Ph. [mmHg]</td><td>&#8722;12 &#177; 14</td><td>&#8722;3 &#177; 9</td><td>&#8722;6 &#177; 14</td><td>0.14</td></tr></table>
40060be7b0f3f5e2bb54af9e14a70c38eef1e43f403c2979c82608b1ca9a927a.png
complex
<table><tr><td></td><td colspan="2">1-factor solution*</td><td colspan="3">2-factor solution*</td><td colspan="4">3-factor solution*</td></tr><tr><td></td><td>loading</td><td>(residual variance)</td><td colspan="2">loading</td><td>(residual variance)</td><td colspan="3">loading</td><td>(residual variance)</td></tr><tr><td></td><td>1</td><td></td><td>1</td><td>2</td><td></td><td>1</td><td>2</td><td>3</td><td></td></tr><tr><td>Items</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Distance tohealth services</td><td>0.896</td><td>(0.197)</td><td>-0.017</td><td>0.967</td><td>(0.083)</td><td>0.987</td><td>-0.025</td><td>-0.002</td><td>(0.044)</td></tr><tr><td>Having to taketransportation</td><td>0.876</td><td>(0.233)</td><td>0.027</td><td>0.883</td><td>(0.194)</td><td>0.859</td><td>0.039</td><td>0.022</td><td>(0.214)</td></tr><tr><td>Gettingpermission to go</td><td>0.797</td><td>(0.364)</td><td>0.973</td><td>-0.011</td><td>(0.064)</td><td>-0.011</td><td>0.778</td><td>0.453</td><td>(0.059)</td></tr><tr><td>Getting moneyfor treatment</td><td>0.626</td><td>(0.608)</td><td>0.531</td><td>0.21</td><td>(0.553)</td><td>0.346</td><td>0.592</td><td>-0.006</td><td>(0.396)</td></tr><tr><td>Having afemale health worker</td><td>0.59</td><td>(0.652)</td><td>0.315</td><td>0.371</td><td>(0.637)</td><td>-0.013</td><td>-0.122</td><td>0.840</td><td>(0.332)</td></tr><tr><td>Going alone</td><td>0.672</td><td>(0.548)</td><td>0.379</td><td>0.403</td><td>(0.528)</td><td>0.063</td><td>0.006</td><td>0.798</td><td>(0.297)</td></tr><tr><td>Knowing where to go</td><td>0.784</td><td>(0.386)</td><td>0.688</td><td>0.203</td><td>(0.335)</td><td>0.090</td><td>0.471</td><td>0.509</td><td>(0.329)</td></tr><tr><td>Interfactor correlations</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> 2 with 1</td><td></td><td></td><td>0.543</td><td></td><td></td><td>0.339</td><td></td><td></td><td></td></tr><tr><td> 3 with 1</td><td></td><td></td><td></td><td></td><td></td><td>0.609</td><td></td><td></td><td></td></tr><tr><td> 3 with 2</td><td></td><td></td><td></td><td></td><td></td><td></td><td>0.202</td><td></td><td></td></tr><tr><td>Model fitindices</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Chi-squaremodel (df)</td><td colspan="2">732.428 (14)</td><td colspan="4">370.129 (8)</td><td colspan="3">4.899 (3)</td></tr><tr><td>p-value</td><td colspan="2">&lt; 0.001</td><td colspan="4">&lt; 0.001</td><td colspan="3">0.179</td></tr><tr><td>CFI</td><td colspan="2">0.939</td><td colspan="4">0.969</td><td colspan="3">1.000</td></tr><tr><td>TLI</td><td colspan="2">0.909</td><td colspan="4">0.920</td><td colspan="3">0.999</td></tr><tr><td>RMSEA</td><td colspan="2">0.119</td><td colspan="4">0.112</td><td colspan="3">0.013</td></tr></table>
3c2eba5a0be6f8f6e706f7bec1977f8a57156268f42d40eb1456a1a6ccc5d513.png
simple
<table><tr><td>Health Care Organisation Chart</td></tr><tr><td>Processes Maps</td></tr><tr><td>Procedures for risk classification and reduction</td></tr><tr><td>Procedures and Formal Documents (i.e. budgeting, meeting minutes, etc.)</td></tr><tr><td>Documents of Reform Projects</td></tr><tr><td>Periodic Education Plan</td></tr><tr><td>Clinical Care Pathways</td></tr><tr><td>Clinical Records</td></tr><tr><td>Operating Theatres Registries</td></tr><tr><td>Performance Measurement or Appraisal Tools and Procedures</td></tr><tr><td>Health Care Professionals Evaluation Forms</td></tr><tr><td>HTA Tools and Procedures</td></tr><tr><td>Procedures for Privacy Management</td></tr><tr><td>Brochures and Booklets for Patients</td></tr><tr><td>Customer Satisfaction Questionnaires</td></tr></table>
7983f323794c3721354479bd626e40fb044b80f4b817fd218aefd7970de6c787.png
simple
<table><tr><td>Power Level</td><td>TXCTRL Register</td><td>Output Power</td><td>Current Consumption</td></tr><tr><td>31</td><td>0xA0FF</td><td>0 dBm</td><td>17.4 mA</td></tr><tr><td>27</td><td>0xA0FB</td><td>&#8722;1 dBm</td><td>16.5 mA</td></tr><tr><td>23</td><td>0xA0F7</td><td>&#8722;3 dBm</td><td>15.2 mA</td></tr><tr><td>19</td><td>0xA0F3</td><td>&#8722;5 dBm</td><td>13.9 mA</td></tr><tr><td>15</td><td>0xA0EF</td><td>&#8722;7 dBm</td><td>12.5 mA</td></tr><tr><td>11</td><td>0xA0EB</td><td>&#8722;10 dBm</td><td>11.2 mA</td></tr><tr><td>7</td><td>0xA0E7</td><td>&#8722;15 dBm</td><td>9.9 mA</td></tr><tr><td>3</td><td>0xA0E3</td><td>&#8722;25 dBm</td><td>8.5 mA</td></tr></table>
dbf574e581fe743a89262f7300ac5f10cc636e79be6f84e1c20e219af67a9ee8.png
complex
<table><tr><td></td><td>Weeks of training (<i>n</i>)</td><td>Sessions/week (<i>n</i>)</td><td>MCT/session (min)</td><td>MCT/week (min)</td></tr><tr><td rowspan="3">ES</td><td>3</td><td>2</td><td>6</td><td>36</td></tr><tr><td rowspan="2">6</td><td rowspan="2">3</td><td>6</td><td>108</td></tr><tr><td>Total MCT</td><td>144</td></tr><tr><td rowspan="3">LP</td><td>3</td><td>2</td><td>2</td><td>12</td></tr><tr><td rowspan="2">6</td><td rowspan="2">3</td><td>2</td><td>36</td></tr><tr><td>Total MCT</td><td>48</td></tr></table>
77be1612aa96a84422b2ace84385bc7571766add05b718e488f9e198dc289d6b.png
simple
<table><tr><td>Algorithm</td><td>Average CPU Estimation Time (ms)</td></tr><tr><td>ML-RL-DR</td><td>631.9</td></tr><tr><td>ML-RL-SDR</td><td>235.6</td></tr><tr><td>MM-RL-DR</td><td>368.8</td></tr><tr><td>MM-RL-SDR</td><td>243.9</td></tr><tr><td>WLS</td><td>6.8</td></tr><tr><td>ML-JE-Wang</td><td>245.0</td></tr><tr><td>MM-JE-Wang</td><td>295.9</td></tr></table>
ebca4c2eaab384e3401c74b0ce16c7a0f4f90eb42f1ea394b9c50946de8f1020.png
simple
<table><tr><td>GEnt</td><td>Evolutionary tracea</td><td>Jensen&#8211;Shannon divergence</td><td>Property entropy</td><td>VN entropy</td><td>Relative entropy</td><td>Shannon entropy</td><td>Sum of pairs</td></tr><tr><td>142</td><td>142</td><td>184</td><td>173</td><td>125</td><td>168</td><td>171</td><td>184</td></tr><tr><td>168</td><td>173</td><td>185</td><td>184</td><td>171</td><td>169</td><td>184</td><td>185</td></tr><tr><td>169</td><td>179</td><td>222</td><td>185</td><td>184</td><td>224</td><td>185</td><td>218</td></tr><tr><td>183</td><td>184</td><td>224</td><td>187</td><td>185</td><td>263</td><td>186</td><td>263</td></tr><tr><td>184</td><td>211</td><td>263</td><td>206</td><td>186</td><td>265</td><td>187</td><td>282</td></tr><tr><td>185</td><td>236</td><td>265</td><td>218</td><td>206</td><td>351</td><td>218</td><td>350</td></tr><tr><td>229</td><td>247</td><td>282</td><td>220</td><td>218</td><td>354</td><td>219</td><td>351</td></tr><tr><td>265</td><td>276</td><td>326</td><td>255</td><td>255</td><td>365</td><td>222</td><td>353</td></tr><tr><td>268</td><td>277</td><td>328</td><td>264</td><td>263</td><td>454</td><td>224</td><td>354</td></tr><tr><td>365</td><td>324</td><td>329</td><td>265</td><td>265</td><td>455</td><td>263</td><td>365</td></tr><tr><td></td><td>328</td><td>331</td><td>267</td><td>282</td><td>460</td><td>282</td><td>457</td></tr><tr><td></td><td>331</td><td>332</td><td>282</td><td>285</td><td></td><td>285</td><td>459</td></tr><tr><td></td><td>332</td><td>350</td><td>285</td><td>328</td><td></td><td>326</td><td>460</td></tr><tr><td></td><td>346</td><td>351</td><td>319</td><td>329</td><td></td><td>328</td><td>504</td></tr><tr><td></td><td>351</td><td>354</td><td>325</td><td>330</td><td></td><td>329</td><td>521</td></tr><tr><td></td><td>458</td><td>365</td><td>326</td><td>331</td><td></td><td>331</td><td>526</td></tr><tr><td></td><td>460</td><td></td><td>328</td><td>332</td><td></td><td>332</td><td>527</td></tr><tr><td></td><td>461</td><td></td><td>330</td><td>333</td><td></td><td>334</td><td>529</td></tr><tr><td></td><td></td><td></td><td>331</td><td>350</td><td></td><td>349</td><td>603</td></tr><tr><td></td><td></td><td></td><td>350</td><td>351</td><td></td><td>350</td><td></td></tr><tr><td></td><td></td><td></td><td>351</td><td>353</td><td></td><td>351</td><td></td></tr><tr><td></td><td></td><td></td><td>353</td><td>354</td><td></td><td>353</td><td></td></tr><tr><td></td><td></td><td></td><td>354</td><td>365</td><td></td><td>354</td><td></td></tr><tr><td></td><td></td><td></td><td>365</td><td>409</td><td></td><td>365</td><td></td></tr><tr><td></td><td></td><td></td><td>431</td><td>431</td><td></td><td>411</td><td></td></tr></table>
b4ab3c741b554bf68e72b6d43fb289b05b9a6b8569c29de75ac439767701e84e.png
simple
<table><tr><td>Species (Classification) No. of genomes analyzed</td><td>Genome size (mb)</td><td>Habitat niche</td><td>Disease</td><td>References</td></tr><tr><td><i>Neisseria meningitidis</i> (<i>Betaproteobacteria</i>) 5</td><td>2.2</td><td>Upper airway colonizer</td><td>Meningitis, septicemia, Waterhouse&#8211;Friderichsen syndrome</td><td>Parkhill <i>et al.</i> (2000a), Tettelin <i>et al.</i> (2000)</td></tr><tr><td><i>Neisseria gonorrhoeae</i> (<i>Betaproteobacteria</i>) 1</td><td>2.1</td><td>Urethra</td><td>Gonorrhea</td><td>Oklahoma University Website</td></tr><tr><td><i>Haemophilus influenzae</i> (<i>Gammaproteobacteria</i>) 6</td><td>1.9</td><td>Upper airway colonizer</td><td>Pneumonia, meningitis, bacteremia, otitis media and more</td><td>Fleischmann <i>et al.</i> (1995)</td></tr><tr><td><i>Streptococcus pneumoniae</i> (<i>Bacilli</i>) 3</td><td>2.0</td><td>Upper airway colonizer</td><td>Pneumonia, septicemia, otitis media, peritonitis, pericarditis, meningitis, brain abscess and more</td><td>Tettelin <i>et al.</i> (2001)</td></tr><tr><td><i>Helicobacter pylori</i> (<i>Epsilonproteobacteria</i>) 3</td><td>1.6</td><td>Stomach and duodenum</td><td>Peptic ulcer and gastric cancer</td><td>Alm <i>et al.</i> (1999)</td></tr><tr><td><i>Campylobacter jejuni</i> (<i>Epsilonproteobacteria</i>) 6</td><td>1.6</td><td>Gastrointestinal</td><td>Main cause of diarrhea in Europe, inducer of the Guillain Barre syndrome</td><td>Parkhill <i>et al.</i> (2000b)</td></tr><tr><td><i>Staphylococcus aureus</i>/MRSA (<i>Bacilli</i>) 14</td><td>2.8+</td><td>Nose and skin</td><td>Pneumonia, meningitis, toxic shock syndrome, septicemia and skin infections</td><td>Herron-Olson <i>et al.</i> (2007)</td></tr><tr><td><i>Streptococcus pyogenes</i> (<i>Bacilli</i>) 14</td><td>1.9</td><td>Throat and skin</td><td>Diverse pathogenic outcomes/diseases &#8211; flesh-eating bacteria</td><td>Ferretti <i>et al.</i> (2001)</td></tr><tr><td><i>M. tuberculosis</i> (<i>Actinobacteria</i>) 5</td><td>4.2+</td><td>Lungs, extrapulmonary locations</td><td>Tuberculosis</td><td>Cole <i>et al.</i> (1998)</td></tr><tr><td><i>Bacillus subtilis</i> (<i>Bacilli</i>) 1</td><td>4.2</td><td>Soil</td><td>Reference bacterium</td><td>Kunst <i>et al.</i> (1997)</td></tr><tr><td><i>Escherichia coli</i> (<i>Gammaproteobacteria</i>) 18</td><td>4.6+</td><td>Intestine, sewer</td><td>Reference bacterium</td><td>Blattner <i>et al.</i> (1997)</td></tr></table>
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<table><tr><td>Session</td><td>Module/Topic</td><td>Content example</td></tr><tr><td rowspan="3">1. Baseline</td><td>Blood Pressure and Hypertension Definitions</td><td>"Hypertension" is the medical term for high blood pressure. A person with high blood pressure is sometimes described as "hypertensive."</td></tr><tr><td>Essential vs. Secondary Hypertension</td><td rowspan="2">Normal blood pressure is a systolic pressure of 120 or less. "Systolic" is the top number in a blood pressure reading.</td></tr><tr><td>Systolic and Diastolic Normal Readings</td></tr><tr><td rowspan="2">2. Seven Day</td><td rowspan="2">Hypertension Risk Factors</td><td>High blood pressure has many risk factors. Some you can't control. Family history - High blood pressure tends to run in families.</td></tr><tr><td>Other risk factors for high blood pressure are within your control: Too much sodium (salt) in your diet which can cause your body to retain fluid, which increases blood pressure.</td></tr><tr><td rowspan="3">3. Thirty Day</td><td>Tobacco and Alcohol Use</td><td rowspan="2">If you drink more than moderate amounts of it, alcohol can actually raise blood pressure by several points. It can also reduce the effectiveness of high blood pressure medications.</td></tr><tr><td rowspan="2">Caffeine Use</td></tr><tr><td>Cut back on caffeine. The role caffeine plays in blood pressure is still debatable. Drinking caffeinated beverages can temporarily cause a spike in your blood pressure, but it's unclear whether the effect is temporary or long lasting.</td></tr><tr><td rowspan="3">4. Ninety Day</td><td>BP Complications</td><td rowspan="2">Hypertension is frequently called the "silent killer" because it rarely causes symptoms. This is dangerous because untreated hypertension can lead to strokes, heart attacks, kidney disease, and vision loss.</td></tr><tr><td rowspan="2">Complications of Uncontrolled Blood Pressure</td></tr><tr><td>Very high blood pressure is dangerous. You should call your Healthcare Provider anytime day or night, if your resting systolic blood pressure is over 180 or your resting diastolic blood pressure is over 110.</td></tr></table>
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<table><tr><td>BMI</td><td>20 &gt;</td><td>20-24.9</td><td>25 - 29.9</td><td>30 - 34.9</td><td>35 &lt;</td><td><i>P</i>-value of chi-square test</td></tr><tr><td>Preeclampsia</td><td>5</td><td>19</td><td>31</td><td>12</td><td>2</td><td>0.001**</td></tr><tr><td></td><td>3.9%</td><td>4.6%</td><td>8.7%</td><td>12.2%</td><td>3.33%</td><td></td></tr><tr><td>Induction of labour</td><td>26</td><td>98</td><td>103</td><td>39</td><td>3</td><td>0.003**</td></tr><tr><td></td><td>20.3%</td><td>23.8%</td><td>28.9%</td><td>40.9%</td><td>50%</td><td></td></tr><tr><td>Caesarean section</td><td>11</td><td>59</td><td>71</td><td>25</td><td>4</td><td>0.001**</td></tr><tr><td></td><td>8.6%</td><td>14.3%</td><td>19.9%</td><td>25.5%</td><td>7.66%</td><td></td></tr><tr><td>Preterm delivery</td><td>2</td><td>9</td><td>16</td><td>6</td><td>1</td><td>0.037*</td></tr><tr><td></td><td>1.6%</td><td>22.2%</td><td>4.7%</td><td>6.1%</td><td>0%</td><td></td></tr><tr><td>Post date delivery</td><td>4</td><td>14</td><td>12</td><td>3</td><td>0</td><td>0.99</td></tr><tr><td></td><td>3.1%</td><td>3.4%</td><td>2.4%</td><td>3%</td><td>0%</td><td></td></tr><tr><td>Wound Infection</td><td>0</td><td>10</td><td>8</td><td>6</td><td>1</td><td>0.009**</td></tr><tr><td></td><td></td><td>44%</td><td>32%</td><td>24%</td><td>4%</td><td></td></tr></table>
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<table><tr><td>Type of allergy</td><td>No. of studies</td><td>Overall accuracy (%)</td><td>Application</td><td>ANN</td><td>SVM</td><td>BN</td><td>FL</td></tr><tr><td rowspan="7">Asthma</td><td rowspan="7">18</td><td rowspan="7">82.44 &#177; 23.71</td><td>To classify exacerbations [10&#8211;14]</td><td>1</td><td>1</td><td>2</td><td>1</td></tr><tr><td>To classify severity [6, 15, 16]</td><td>&#8211;</td><td>&#8211;</td><td>1</td><td>2</td></tr><tr><td>To classify pathologic vs control [4, 17&#8211;19]</td><td>2</td><td>1</td><td>&#8211;</td><td>1</td></tr><tr><td>To classify asthma control level [8, 20]</td><td>1</td><td>&#8211;</td><td>&#8211;</td><td>1</td></tr><tr><td>To classify how manage their pathology [21]</td><td>1</td><td>&#8211;</td><td>&#8211;</td><td>&#8211;</td></tr><tr><td>To predict the clinical effect of salbutamol [22, 23]</td><td>2</td><td>&#8211;</td><td>&#8211;</td><td>&#8211;</td></tr><tr><td>To classify health state[24]</td><td>&#8211;</td><td>&#8211;</td><td>1</td><td>&#8211;</td></tr><tr><td rowspan="2">ADR</td><td rowspan="2">6</td><td rowspan="2">94.5 &#177; 2.12</td><td>To predict the posterior probability of a drug (BARDI tool) [28&#8211;30]</td><td>&#8211;</td><td>&#8211;</td><td>3</td><td>&#8211;</td></tr><tr><td>To predict hypersensitivity reaction (AERS database) [25&#8211;27]</td><td>&#8211;</td><td>&#8211;</td><td>3</td><td>&#8211;</td></tr><tr><td>Allergic rhinitis</td><td>1</td><td>88.31</td><td>To classify pathologic vs control [31]</td><td>1</td><td>&#8211;</td><td>&#8211;</td><td>&#8211;</td></tr><tr><td>Allergic conjunctivitis</td><td>1</td><td>100</td><td>To classify pathologic vs control [32]</td><td>1</td><td>&#8211;</td><td>&#8211;</td><td>&#8211;</td></tr><tr><td>Atopic dermatitis</td><td>1</td><td>96.4</td><td>To classify pathologic vs control [33]</td><td>1</td><td>&#8211;</td><td>&#8211;</td><td>&#8211;</td></tr></table>
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<table><tr><td> </td><td>Immediately pre coronary angiography</td><td>6 months after coronary angiogrpahy</td><td>P</td></tr><tr><td>Global EF (%)</td><td>43 &#177; 10</td><td>44 &#177; 8</td><td>p = NS</td></tr><tr><td>The size of infarct area (%)</td><td>32 &#177; 10</td><td>30 &#177; 10</td><td>p = NS</td></tr><tr><td>Infarct wall movement velocity (cm/s)</td><td>1.76 &#177; 0.76</td><td>1.80 &#177; 0.76</td><td>p = NS</td></tr><tr><td>End-diastolic volume (LVEDV) (ml)</td><td>132 &#177; 35</td><td>136 &#177; 48</td><td>p = NS</td></tr><tr><td>End-systolic volume (LVESV) (ml)</td><td>75 &#177; 29</td><td>76 &#177; 29</td><td>p = NS</td></tr><tr><td>Stroke volume index (SVI) (ml/m<sup>2</sup>)</td><td>29 &#177; 11</td><td>33 &#177; 15</td><td>p = NS</td></tr><tr><td>BNP (pg/ml)</td><td>155 &#177; 71</td><td>141 &#177; 69</td><td>p = NS</td></tr><tr><td>NYHA classification</td><td>II-III</td><td>II-III</td><td>p = NS</td></tr></table>
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<table><tr><td>Rotated Component Matrix(a)</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td>Verbal Learning &amp; Memory</td><td>Processing Speed</td><td>Attention and Working Memory</td><td>Verbal Fluency and Naming</td><td>Concept Formation</td></tr><tr><td>Alpha</td><td>0.883</td><td>0.731</td><td>0.555</td><td>0.457</td><td>0.179</td></tr><tr><td>Word List Trial 1</td><td>0.592</td><td></td><td></td><td></td><td></td></tr><tr><td>Word List Trial 2</td><td>0.767</td><td></td><td></td><td></td><td></td></tr><tr><td>Word Recognition</td><td>0.774</td><td></td><td></td><td></td><td></td></tr><tr><td>Word List Trial 3</td><td>0.792</td><td></td><td></td><td></td><td></td></tr><tr><td>Word List Cued Recall (Total)</td><td>0.829</td><td></td><td></td><td></td><td></td></tr><tr><td>Word List Delayed Free Recall</td><td>0.834</td><td></td><td></td><td></td><td></td></tr><tr><td>Choice RT Score Decile</td><td></td><td>0.559</td><td></td><td></td><td></td></tr><tr><td>Simple RT Right Score Decile</td><td></td><td>0.865</td><td></td><td></td><td></td></tr><tr><td>Simple RT Left Score Decile</td><td></td><td>0.893</td><td></td><td></td><td></td></tr><tr><td>DATE Score</td><td></td><td></td><td>0.373</td><td></td><td></td></tr><tr><td>Digit Span Backward (Span)</td><td></td><td></td><td>0.784</td><td></td><td></td></tr><tr><td>Digit Span Forward (Span)</td><td></td><td></td><td>0.804</td><td></td><td></td></tr><tr><td>President/VP Naming</td><td></td><td></td><td></td><td>0.799</td><td></td></tr><tr><td>F Words (30 Seconds)</td><td></td><td></td><td></td><td>0.504</td><td></td></tr><tr><td>Animal Naming (30 seconds)</td><td></td><td></td><td></td><td>0.456</td><td></td></tr><tr><td>Serial 7's</td><td></td><td></td><td></td><td>0.496</td><td></td></tr><tr><td>4 Word Naming</td><td></td><td></td><td></td><td></td><td>0.745</td></tr><tr><td>Similarities</td><td></td><td></td><td></td><td></td><td>0.732</td></tr></table>
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<table><tr><td></td><td colspan="3">Worry about infection of A/H1N1</td><td colspan="3">Take up preventive measures in daily life</td></tr><tr><td>Variables</td><td>Row%</td><td>OR<sub>u </sub>(95% CI)</td><td>OR<sub>m</sub>(95% CI)</td><td>Row%</td><td>OR<sub>u </sub>(95% CI)</td><td>OR<sub>m</sub>(95% CI)</td></tr><tr><td>Know the main modes of transmission</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> No</td><td>21.8</td><td>1.00</td><td>1.00</td><td>71.9</td><td>1.00</td><td>1.00</td></tr><tr><td> Yes</td><td>31.8</td><td>1.68(1.53-1.83) <sup>&#8224;</sup></td><td>1.69(1.54-1.86) <sup>&#8224;</sup></td><td>82.5</td><td>1.84(1.68-2.02) <sup>&#8224;</sup></td><td>1.57(1.42-1.73) <sup>&#8224;</sup></td></tr><tr><td>Know the state's initial vaccination strategy</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> No</td><td>24.9</td><td>1.00</td><td>1.00</td><td>68.3</td><td>1.00</td><td>1.00</td></tr><tr><td> Yes</td><td>28.9</td><td>1.22(1.12-1.34) <sup>&#8224;</sup></td><td>1.12(1.01-1.24)*</td><td>82.7</td><td>2.21(2.02-2.43) <sup>&#8224;</sup></td><td>1.61(1.43-1.81) <sup>&#8224;</sup></td></tr><tr><td>Know the free vaccination policy</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> No</td><td>26.5</td><td>1.00</td><td>NU</td><td>69.4</td><td>1.00</td><td>1.00</td></tr><tr><td> Yes</td><td>28.1</td><td>1.08(0.98-1.19)</td><td></td><td>81.6</td><td>1.96(1.78-2.16) <sup>&#8224;</sup></td><td>1.40(1.24-1.58) <sup>&#8224;</sup></td></tr><tr><td>Worry about infection of A/H1N1</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> No</td><td>-</td><td>-</td><td>-</td><td>74.4</td><td>1.00</td><td>1.00</td></tr><tr><td> Yes</td><td></td><td></td><td></td><td>87.9</td><td>2.51(2.22-2.84) <sup>&#8224;</sup></td><td>2.09(1.84-2.37) <sup>&#8224;</sup></td></tr><tr><td>Has your daily life been disturbed by A/H1N1</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td> No</td><td>-</td><td>-</td><td>-</td><td>73.4</td><td>1.00</td><td>NS</td></tr><tr><td> Yes</td><td></td><td></td><td></td><td>87.2</td><td>2.47(2.22-2.76) <sup>&#8224;</sup></td><td></td></tr></table>
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<table><tr><td>Predictor</td><td>B</td><td>SE B</td><td>&#946;</td><td>R<sup>2</sup></td></tr><tr><td><i>Step 1</i></td><td></td><td></td><td></td><td>.05***</td></tr><tr><td>SES</td><td>.14</td><td>.03</td><td>.14***</td><td></td></tr><tr><td>City</td><td>.15</td><td>.04</td><td>.13***</td><td></td></tr><tr><td>5<sup>th </sup>grade</td><td>.08</td><td>.04</td><td>.08*</td><td></td></tr><tr><td>6<sup>th </sup>grade</td><td>.11</td><td>.04</td><td>.11***</td><td></td></tr><tr><td><i>Step 2</i></td><td></td><td></td><td></td><td>.08***</td></tr><tr><td>Gender</td><td>-.07</td><td>.03</td><td>-.08*</td><td></td></tr><tr><td>Ethnic status</td><td>-.15</td><td>.03</td><td>-.16***</td><td></td></tr><tr><td><i>Step 3a</i></td><td></td><td></td><td></td><td>.08*</td></tr><tr><td>Gender * ethnic status</td><td>-.60</td><td>.30</td><td>-.12*</td><td></td></tr><tr><td colspan="5">Mediator: School Hassles</td></tr><tr><td><i>Step 3b</i></td><td></td><td></td><td></td><td>.20***</td></tr><tr><td>Gender * ethnic status</td><td>-.30</td><td>.28</td><td>-.06</td><td></td></tr><tr><td>School hassles</td><td>.35</td><td>.03</td><td>.35***</td><td></td></tr></table>
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<table><tr><td>Subtype</td><td>Location</td></tr><tr><td>A</td><td>Pancreatic duct into parenchyma<sup><i>&#8727;</i></sup></td></tr><tr><td>B</td><td>Pancreatic duct through parenchyma<sup><i>&#8727;</i></sup></td></tr><tr><td>C</td><td>Intrahepatic bile ducts into parenchyma<sup><i>&#8727;&#8727;</i></sup></td></tr><tr><td>D</td><td>Intrahepatic bile ducts through parenchyma<sup><i>&#8727;&#8727;&#8727;</i></sup></td></tr></table>
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<table><tr><td>Group</td><td>TAV (mm<sup>3</sup>)</td></tr><tr><td>BMP group</td><td>4.27 (3.08&#8211;18.23)</td></tr><tr><td> with pins (<i>n</i> = 2)</td><td>20.87 (19.55&#8211;22.20)</td></tr><tr><td> without pins (<i>n</i> = 3)</td><td>3.08 (1.68&#8211;3.68)</td></tr><tr><td>nonBMP group</td><td>6.24 (5.71&#8211;7.52)</td></tr><tr><td> with pins (<i>n</i> = 2)</td><td>12.25 (9.88&#8211;14.62)</td></tr><tr><td> without pins (<i>n</i> = 3)</td><td>5.71 (3.15&#8211;5.98)</td></tr><tr><td>Control group</td><td>2.75 (1.98&#8211;4.80)</td></tr></table>
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<table><tr><td>Group</td><td>Pretest</td><td>Posttest</td><td>Adjusted mean</td></tr><tr><td>Chess</td><td>1.75 (1.34)</td><td>1.81 (1.69)</td><td>1.64</td></tr><tr><td>Checkers</td><td>1.28 (0.96)</td><td>1.60 (1.14)</td><td>1.75</td></tr><tr><td>Control</td><td>1.41 (1.20)</td><td>1.87 (1.36)</td><td>1.83</td></tr></table>
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<table><tr><td>Haplotype</td><td>Frequencies</td><td>Patients/Deaths</td><td>HR (95% CI) <sup>a</sup></td></tr><tr><td>TTGG</td><td>0.415</td><td>379/184</td><td>1.00</td></tr><tr><td>CTGA</td><td>0.408</td><td>373/170</td><td>0.90 (0.73&#8211;1.10)</td></tr><tr><td>CCAA</td><td>0.079</td><td>72/30</td><td>0.79 (0.54&#8211;1.17)</td></tr><tr><td>TTGA</td><td>0.036</td><td>33//11</td><td>0.54 (0.30&#8211;1.00)</td></tr><tr><td>CTAA</td><td>0.024</td><td>22//6</td><td>0.47 (0.21&#8211;1.07)</td></tr><tr><td>CTGG</td><td>0.015</td><td>14//10</td><td>1.55 (0.81&#8211;2.94)</td></tr></table>
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<table><tr><td>Characteristic</td><td>MetS present N = 73</td><td>MetS absent N = 93</td><td><i>P</i>-value adjusted for age and sex</td></tr><tr><td>age (years)</td><td>42.2 &#177; 1.6</td><td>34.8 &#177; 1.6</td><td>0.0019</td></tr><tr><td>male (%)</td><td>35.6</td><td>43.0</td><td>NS (0.33)</td></tr><tr><td>current smokers (%)</td><td>13.9*</td><td>16.3&#8224;</td><td>NS (0.86)</td></tr><tr><td>BMI (kg/m<sup>2</sup>)</td><td>31.3 &#177; 0.5</td><td>27.4 &#177; 0.5</td><td>&lt;0.0001</td></tr><tr><td>waist (cm)</td><td>104 &#177; 1</td><td>92.9 &#177; 1.2</td><td>&lt;0.0001</td></tr><tr><td>hypertensive (%)</td><td>54.8</td><td>18.3</td><td>&lt;0.0001</td></tr><tr><td>antihypertensive treatment (%)</td><td>19.2</td><td>5.4</td><td>0.017</td></tr><tr><td>total cholesterol (mmol/L)</td><td>5.21 &#177; 0.10</td><td>4.38 &#177; 0.08</td><td>&lt;0.0001</td></tr><tr><td>HDL cholesterol (mmol/L)</td><td>1.09 &#177; 0.03</td><td>1.27 &#177; 0.02</td><td>&lt;0.0001</td></tr><tr><td>triglycerides (mmol/L)</td><td>2.36 &#177; 0.11</td><td>1.24 &#177; 0.05</td><td>&lt;0.0001</td></tr><tr><td>TC:HDL ratio</td><td>4.99 &#177; 0.15</td><td>3.54 &#177; 0.09</td><td>&lt;0.0001</td></tr><tr><td>fasting glucose (mmol/L)</td><td>9.48 &#177; 0.54</td><td>6.34 &#177; 0.30</td><td>&lt;0.0001</td></tr><tr><td>diabetes (%)</td><td>67.1</td><td>17.2</td><td>&lt;0.0001</td></tr><tr><td>IGT (%)</td><td>8.2</td><td>14.0</td><td>NS (0.72)</td></tr></table>
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<table><tr><td></td><td>Cross-sectional</td><td></td><td>Longitudinal</td><td></td></tr><tr><td></td><td>Overweight T1</td><td>School Sample</td><td>Overweight T1</td><td>Overweight T2</td></tr><tr><td>n</td><td>125</td><td>172</td><td>80</td><td>80</td></tr><tr><td>Age</td><td>6&#8211;16</td><td>7&#8211;17</td><td>6&#8211;16</td><td>7&#8211;18</td></tr><tr><td></td><td>11.02 (SD = 2.41)</td><td>11.88 (SD = 2.45)</td><td>11.29 (SD = 2.29)</td><td>12.58 (SD = 2.26)</td></tr><tr><td>Sex</td><td>61 female</td><td>88 female</td><td>42 female</td><td>42 female</td></tr><tr><td></td><td>64 male</td><td>84 male</td><td>38 male</td><td>38 male</td></tr></table>
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<table><tr><td></td><td>Wild type</td><td>CD4<sup>&#8722;/&#8722;</sup></td></tr><tr><td>Eosinophilia(cells/mg of lung tissue) (as % of total white cells)</td><td>684 &#177; 132 (6.3 %)</td><td>648 &#177; 161 (4.3 %)</td></tr><tr><td>Neutrophilia(cells/mg of lung tissue) (as % of total white cells)</td><td>6443 &#177; 1048 (45.3 %)</td><td>7361 &#177; 2260 (49.1 %)</td></tr><tr><td>Tissue mono/macs(cells/mg of lung tissue) (as % of total white cells)</td><td>639 &#177; 132 (4.5 %)</td><td>686 &#177; 179 (9.4 %)</td></tr><tr><td>Alveolar macs(cells/mg of lung tissue) (as % of total white cells)</td><td>292 &#177; 48 (2.1 %)</td><td>241 &#177; 25 (1.6 %)</td></tr><tr><td>Mast cells (cells/slide)</td><td>66 &#177; 12</td><td>77 &#177; 10</td></tr></table>