rahul77/PubTable_updated · Datasets at Hugging Face

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	<table border="1" class="dataframe"> <tr> <th> Characteristic </th> <th> Cases (n = 1125) </th> <th> Controls (n = 1197) </th> <th> P-valuea </th> </tr> <tr> <td> Demographic factors </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Age (years [mean ± SD]) ...
	<table border="1" class="dataframe"> <tr> <th> Stratified variable (by median) </th> <th colspan="6"> MnSOD genotypes </th> </tr> <tr> <th> </th> <th colspan="2"> Val/Val </th> <th colspan="2"> Val/Ala </th> <th colspan="2"> Ala/Ala </th> </tr> <tr> <th> </th> <th> n...
	<table border="1" class="dataframe"> <tr> <th> Protein </th> <th> Percentage </th> </tr> <tr> <td> PCNA </td> <td> 15.93 ± 4.38 </td> </tr> <tr> <td> hMLH1 </td> <td> 0.25 ± 1.11 </td> </tr> <tr> <td rowspan="2"> hPMS1 in </td> <td> 0.6 ± 0.99 </td> </tr> ...
	<table border="1" class="dataframe"> <tr> <th> Group </th> <th> RNA source </th> <th> Treatment </th> <th> Days after injection </th> <th> No. of animals </th> </tr> <tr> <td> AN </td> <td> Naive control (absolute negative) BALB/cSCID paw </td> <td> None </td> ...
	<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Mean fluorescence of CXCR3a </th> <th> </th> </tr> <tr> <th> Patient no. </th> <th> In PB cells </th> <th> In SF cells </th> <th> D/sb </th> </tr> <tr> <td> 1 </td> <td> 35.79 </td> <td>...
	<table border="1" class="dataframe"> <tr> <th> Course </th> <th> No. of patients </th> <th> Age (years) </th> <th> Disease duration (years) </th> <th> No. of joints with active/ limited range of motion </th> <th> PGI </th> <th> ESR (mm/h) </th> <th> Treatment; n ...
	<table border="1" class="dataframe"> <tr> <th> Patient no. </th> <th> Age (year) </th> <th> Form </th> <th> Pattern </th> <th> CD3 </th> <th colspan="3"> CCR7 </th> <th colspan="3"> CXCR3 </th> <th colspan="3"> CCR5 </th> </tr> <tr> <th> </th> <th> </th...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> </th> <th> </th> <th colspan="2"> 100 × CD4+CD25+/CD4+ (N) </th> </tr> <tr> <th> Treatment </th> <th> Expt no. </th> <th> Organ </th> <th> IFN-γR KO </th> <th> WT </th> </tr> <tr> <td rowspan="6"> N...
	<table border="1" class="dataframe"> <tr> <th rowspan="2"> SAGE library </th> <th rowspan="2"> Total testis TT 1+2 </th> <th rowspan="2"> Adult testis somatic cells ATSC </th> </tr> <tr> </tr> <tr> <td> Total tags </td> <td> 76 854 </td> <td> 81 478 </td> </tr> <tr> <t...
	<table border="1" class="dataframe"> <tr> <th> Predicted </th> <th> Observed </th> <th> N of observations </th> </tr> <tr> <td> 0.001 </td> <td> 0.001 </td> <td> 1116 </td> </tr> <tr> <td> 0.010 </td> <td> 0.007 </td> <td> 2621 </td> </tr> <tr> <td...
	<table border="1" class="dataframe"> <tr> <th> Level of Evidence </th> <th> Preventive Manoeuvre </th> </tr> <tr> <td rowspan="8"> AΩ & B¥-categories: (Appropriate) </td> <td> 1. Folic acid for primary prevention of neural tube defects </td> </tr> <tr> <td> 2. Smoking cessation...
	<table border="1" class="dataframe"> <tr> <th> Measure </th> <th> Intervention Group (N = 22) </th> <th> Control Group (N = 23) </th> <th> Significance (P value) </th> </tr> <tr> <td> Percentage of Group Practices </td> <td> 77.3% </td> <td> 60.9% </td> <td> .34 ...
	<table border="1" class="dataframe"> <tr> <th> Variable </th> <th> Value and Rangea </th> <th> Source </th> </tr> <tr> <td> A & B Manœuvres </td> <td> </td> <td> </td> </tr> <tr> <td> Folic Acid </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in ...
	<table border="1" class="dataframe"> <tr> <th> Variable </th> <th> Value and Rangea </th> <th> Source </th> </tr> <tr> <td> D Manoeuvres </td> <td> </td> <td> </td> </tr> <tr> <td> Blood Glucose Screening </td> <td> </td> <td> </td> </tr> <tr> <td> Differen...
	<table border="1" class="dataframe"> <tr> <th> Condition </th> <th> Baseline </th> <th> Low </th> <th> High </th> </tr> <tr> <td> Breast Cancer </td> <td> $12,075.20 </td> <td> $4,026.97 </td> <td> $20,123.44 </td> </tr> <tr> <td> Influenza </td> <td...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> Baseline </th> <th> Low </th> <th> High </th> </tr> <tr> <td> Costs </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Intervention Cost </td> <td> $238,388 </td> <td> $238,388 </td> <td...
	<table border="1" class="dataframe"> <tr> <th> Purpose </th> <th> Family Medicine [%] </th> <th> Specialist [%] </th> <th> χ2 </th> <th> df </th> <th> p-value </th> </tr> <tr> <td> Personal use </td> <td> 83.0 </td> <td> 86.4 </td> <td> 3.87 </td>...
	<table border="1" class="dataframe"> <tr> <th colspan="2"> Percentiles </th> <th colspan="2"> Boys </th> <th colspan="2"> Girls </th> </tr> <tr> <th> </th> <th> </th> <th> Q-max </th> <th> Q-Ave </th> <th> Q-max </th> <th> Q-Ave </th> </tr> <tr> <td rowspa...
	<table border="1" class="dataframe"> <tr> <th> Scale </th> <th colspan="6"> Scale statistics </th> </tr> <tr> <th> </th> <th> Mean (SD) Total UK Sample </th> <th> Mean (SD) Total US Sample </th> <th> Percentage floor chronic health condition/healthy (UK Sample) </th> <th> ...
	<table border="1" class="dataframe"> <tr> <th> Scale </th> <th colspan="4"> Self-report </th> <th colspan="4"> Proxy-report </th> </tr> <tr> <th> </th> <th> N </th> <th> Mean (sd) </th> <th> df </th> <th> F </th> <th> N </th> <th> Mean (sd) </th> <...
	<table border="1" class="dataframe"> <tr> <th> Scale: </th> <th> Total Sample </th> <th> Healthy children </th> <th> Children with chronic health condition </th> </tr> <tr> <td> Total score </td> <td> 0.56* </td> <td> 0.32* </td> <td> 0.67* </td> </tr> <tr> ...
	<table border="1" class="dataframe"> <tr> <th> Base Model </th> <th> Spatial Distribution Function of Alternative Model </th> <th> Base Model Observed Dataset </th> <th> More Explicit Model Observed Dataset </th> </tr> <tr> <td> Null </td> <td> Distance Decline </td> <td> ...
	<table border="1" class="dataframe"> <tr> <th> Author </th> <th> Year </th> <th> No of cases </th> <th> Results </th> </tr> <tr> <td> Zahner et al [15] </td> <td> 1994 </td> <td> 1 </td> <td> Positive </td> </tr> <tr> <td> Cadigan et al [7] </td> <td...
	<table border="1" class="dataframe"> <tr> <th> Time (h) </th> <th> Type </th> <th colspan="5"> Duration </th> <th> Time (h) </th> <th colspan="5"> Duration </th> </tr> <tr> <th> </th> <th> </th> <th colspan="2"> Oscillation type </th> <th colspan="2"> Fetal move...
	<table border="1" class="dataframe"> <tr> <th> Sitea </th> <th> Enzymeb </th> <th> Gene Card </th> <th> UniGenec </th> <th> SAGEc </th> <th> Full Name </th> </tr> <tr> <td rowspan="4"> 163 </td> <td> EGFR Kinase </td> <td> EGFR </td> <td> Yes </td...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> Nature (12/00) </th> <th> Release 1 (8/01) </th> <th> Release 2 (1/02) </th> <th> Release 3 (8/02) </th> <th> Release 4 (4/03) </th> <th> Release 5 (1/04) </th> </tr> <tr> <td> Genome size (Mb) </td> <td>...
	<table border="1" class="dataframe"> <tr> <th> Transposable element classification </th> <th> # Annotated genomic regions </th> </tr> <tr> <td> Class I (Retrotransposons) </td> <td> 1652 </td> </tr> <tr> <td> gypsy-like retrotransposon family (Athila) </td> <td> 511 </td> ...
	<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th> Overall composition </th> <th> All Genes (3462) </th> <th> Proteins (>100 residues) </th> <th> Membrane Proteins </th> <th> Non-Membrane Proteins </th> </tr> <tr> <td> A </td> <td> 5.49 </t...
	<table border="1" class="dataframe"> <tr> <th> Method </th> <th> FP </th> <th> FN </th> <th> TP </th> <th> TN </th> <th> S(M) </th> </tr> <tr> <td> GEM </td> <td> 4 </td> <td> 6 </td> <td> 115 </td> <td> 2340 </td> <td> 226 </td> </...
	<table border="1" class="dataframe"> <tr> <th> Percent Composition </th> <th colspan="2"> Ala </th> <th colspan="2"> Gly </th> <th colspan="2"> Arg </th> <th colspan="2"> Val </th> </tr> <tr> <th> </th> <th> Genes * </th> <th> E. Level ** </th> <th> Genes <...
	<table border="1" class="dataframe"> <tr> <th> Percent Composition </th> <th colspan="2"> Asp </th> <th colspan="2"> Leu </th> <th colspan="2"> Asn </th> <th colspan="2"> Ser </th> </tr> <tr> <th> </th> <th> Genes* </th> <th> E. Level** </th> <th> Genes </t...
	<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th colspan="2"> Alternate Dataset 1 (Untreated) </th> <th colspan="2"> Alternate Dataset 2 (Treated) </th> </tr> <tr> <th> </th> <th> All Genes </th> <th> > 100 residues </th> <th> All Genes </th> <th>...
	<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th> Correlation with log(Fold change) </th> </tr> <tr> <td> A </td> <td> -0.184 </td> </tr> <tr> <td> C </td> <td> 0.055 </td> </tr> <tr> <td> D </td> <td> 0.029 </td> </tr> <tr> <td> E...
	<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Total Samples </th> <th colspan="2"> Scanty Growth </th> <th colspan="2"> Semi-confluent growth </th> <th colspan="2"> Confluent growth </th> <th> P-value2 </th> </tr> <tr> <th> Nugent's score1 </th> ...
	<table border="1" class="dataframe"> <tr> <th> Genital micro-organisms </th> <th colspan="7"> Prevalence of genital micro-organism in those with: </th> </tr> <tr> <th> </th> <th colspan="2"> No lactobacilli </th> <th colspan="2"> Non H2O2 producing lactobacilli </th> <th colspan="2"...
	<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="3"> Prevalence of BV (Nugent's score 7–10) </th> <th colspan="3"> Prevalence of HIV </th> </tr> <tr> <th> </th> <th> n/N </th> <th> % </th> <th> P-value4 </th> <th> n/N </th> <th> % </th> <th>...
	<table border="1" class="dataframe"> <tr> <th> Season </th> <th> Onset </th> <th> Peak </th> <th> Offset </th> <th> Duration </th> </tr> <tr> <td> 1995/1996 late season </td> <td> 1 </td> <td> 12 </td> <td> 17 </td> <td> 17 </td> </tr> <tr> <t...
	<table border="1" class="dataframe"> <tr> <th> Gene </th> <th> No. of Species </th> <th> TP </th> <th> TN </th> <th> FP </th> <th> FN </th> <th> Specificity </th> <th> Sensitivity </th> <th> Accuracy </th> <th> Balanced Accuracy </th> </tr> <tr> ...
	<table border="1" class="dataframe"> <tr> <th> Gene </th> <th> Species </th> <th> TP </th> <th> FP </th> <th> FN </th> <th> Score </th> </tr> <tr> <td> atp1 </td> <td> Secale cereale </td> <td> 0 </td> <td> 5 </td> <td> 1 (0) </td> <td> ...
	<table border="1" class="dataframe"> <tr> <th> Mantoux </th> <th> Children </th> <th colspan="3"> Evaluation of scar formation [n (%)] </th> </tr> <tr> <th> Induration (mm) </th> <th> n </th> <th> Real scar (>2 mm) </th> <th> (≤ Tiny scar 2 mm) </th> <th> No s...
	<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN-T </td> <td> 82.28% </td> <td> 78.36% </td> <td> 79.71% </td> <td> 80.12% </td> </tr> <tr> <td...
	<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> ref4 </th> <th> ref5 </th> <th> Total </th> </tr> <tr> <td> DIALIGN-T </td> <td> 82.76% </td> <td> 91.28% </td> <td> 75.34% </t...
	<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN 2.2 </td> <td> 20.00%+ </td> <td> 23.33%0 </td> <td> 23.33%+ </td> <td> 22.22%+ </td> </tr> <tr>...
	<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN 2.2 </td> <td> 11.67%+ </td> <td> 21.67%0 </td> <td> 23.33%+ </td> <td> 18.89%+ </td> </tr> <tr>...
	<table border="1" class="dataframe"> <tr> <th> Pfam </th> <th> Type </th> <th> SCOP </th> </tr> <tr> <td> DHH </td> <td> Family </td> <td> c.107.1.1; c.107.1.2 </td> </tr> <tr> <td> OsmC </td> <td> Family </td> <td> d.227.1.2; d.227.1.1 </td> </tr> <...
	<table border="1" class="dataframe"><tr><td>Signs and symptoms of HF</td><td>Effort dyspnoea, Hortopnoea, III-IV tones, Pulmonary rales</td></tr><tr><td>Normal or mildly reduced LV systolic function</td><td>≥ EF 45 % e LVIDDi > 3.2 cm·m -2</td></tr><tr><td>Evidence of abnormalities LV of relaxation/filling and/or di...
	<table border="1" class="dataframe"> <tr> <th> Event </th> <th colspan="2"> Happened to Me </th> <th colspan="2"> Happened to Someone I Know Well </th> </tr> <tr> <th> </th> <th> Number </th> <th> % </th> <th> Number </th> <th> % </th> </tr> <tr> <td> Badly...
	<table border="1" class="dataframe"> <tr> <th colspan="2"> Rate of PTSD symptoms on the K-SADS </th> <th colspan="2"> Rate of PTSD symptoms on the CATS </th> </tr> <tr> <th> symptom </th> <th> % </th> <th> symptom </th> <th> % </th> </tr> <tr> <td> </td> <td colspan=...
	<table border="1" class="dataframe"> <tr> <th> PTSD Symptom </th> <th> </th> <th> </th> <th> </th> <th colspan="2"> 95% Confidence Interval </th> </tr> <tr> <th> </th> <th> </th> <th> Observed Kappa </th> <th> Standard Error </th> <th> Lower Limit </th> <th> ...
	<table border="1" class="dataframe"> <tr> <th> </th> <th rowspan="3"> Interested (n = 225) % </th> <th rowspan="3"> Non-interested (n = 553) % </th> <th rowspan="3"> OR (95% CI)1) </th> </tr> <tr> <th> </th> </tr> <tr> <th> </th> </tr> <tr> <td> Physician visit in past year ...
	<table border="1" class="dataframe"> <tr> <th> Complication </th> <th> Patients (n) </th> </tr> <tr> <td> Pin site infection grade 2 [13] </td> <td> 5 </td> </tr> <tr> <td> Loose pin at removal of fixator/pins </td> <td> 6 </td> </tr> <tr> <td> Septic arthritis </...
	<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="5"> Univeriate analysis </th> <th colspan="3"> Multivariate analysisII </th> </tr> <tr> <th> Predictor Variable </th> <th> Na </th> <th> Cb </th> <th> (95% CI) </th> <th> pc </th> <th> R2 adjd ...
	<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th colspan="5"> Income Quintile </th> <th> P-value </th> </tr> <tr> <th> </th> <th> 1 </th> <th> 2 </th> <th> 3 </th> <th> 4 </th> <th> 5 </th> <th> </th> </tr> <tr> <td> </td> ...
	<table border="1" class="dataframe"> <tr> <th> Outcome/Treatment N (%) </th> <th colspan="5"> Income Quintile </th> <th> P-value </th> </tr> <tr> <th> </th> <th> 1 </th> <th> 2 </th> <th> 3 </th> <th> 4 </th> <th> 5 </th> <th> </th> </tr> <tr> <td> ...
	<table border="1" class="dataframe"> <tr> <th> Season correlated with malaria cases in 1800–1870 </th> <th colspan="4"> Source of temperature series </th> </tr> <tr> <th> </th> <th> Helsinki 1830–1870 41 years </th> <th> Tornedalen 1818–1870 53 years </th> <th> Stockholm 1800–187...
	<table border="1" class="dataframe"> <tr> <th> Month of preceding year correlated with malaria cases in 1800–1870 </th> <th colspan="4"> Source of temperature series </th> </tr> <tr> <th> </th> <th> Helsinki 1830–1870 41 years </th> <th> Tornedalen 1818–1870 53 years </th> <th> S...
	<table border="1" class="dataframe"> <tr> <th> Tortoise no. </th> <th colspan="20"> Nucleotide position </th> <th> Origin </th> <th> 12S haplotype </th> </tr> <tr> <th> </th> <th> </th> <th> </th> <th> </th> <th> </th> <th> 1 </th> <th> 1 </th> <th> ...
	<table border="1" class="dataframe"> <tr> <th> A. </th> <th colspan="12"> HPV cLIA time (weeks) </th> </tr> <tr> <th> HPV type </th> <th> 0 </th> <th> 2 </th> <th> 4 </th> <th> 8 </th> <th> 10 </th> <th> 12 </th> <th> 16 </th> <th> 20 </th>...
	<table border="1" class="dataframe"> <tr> <th> Index </th> <th> N </th> <th colspan="2"> Groups </th> <th> P < : </th> </tr> <tr> <th> </th> <th> </th> <th> Control (+/+) </th> <th> Diabetes (db/db) </th> <th> </th> </tr> <tr> <td> Body Weight (g) </t...
	<table border="1" class="dataframe"> <tr> <th> Source of E. coli </th> <th> Lambda </th> <th> M13 </th> <th> P1 </th> <th> øX174 </th> <th> T4 </th> <th> T7 </th> <th> none </th> </tr> <tr> <td> Mouse feces and GI tracts (n = 22) </td> <td> 0 (0%) ...
	<table border="1" class="dataframe"> <tr> <th> Study Group </th> <th> No. </th> <th> 11 </th> <th> 12 </th> <th> 22 </th> <th colspan="3"> 12 + 22 </th> </tr> <tr> <th> </th> <th> </th> <th> n (%) </th> <th> n (%) </th> <th> n (%) </th> <th> ...
	<table border="1" class="dataframe"> <tr> <th> Functional type </th> <th> Fluffy tails (F>2) </th> <th> No fluffy tails (F<2) </th> <th> Positive rate </th> <th> Negative rate </th> </tr> <tr> <td> Regulatory regions </td> <td> 51 </td> <td> 9 </td> <td...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> Arabidopsis thaliana </th> <th> Haemophilus influenzae </th> <th> Helicobacter pylori 26695 </th> <th> Helicobacter pylori J99 </th> <th> Homo sapien </th> <th> Saccharomyces cerevisiae </th> </tr> <tr> <td> ...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> 14,349 Unique NCBI One Term Windows </th> <th> 18,934 Unique NCBI Two Term Windows </th> <th> 24,747 Unique NCBI Three Term Windows </th> </tr> <tr> <td> GO Term Equality </td> <td> 16,001 </td> <td> 9096 </td> ...
	<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th> Stage I </th> <th> Stage II </th> <th> Stage III </th> <th> Stage IV </th> <th> P value </th> </tr> <tr> <td> Age at Cohort Entrance </td> <td> 14.3 ± 2.3 </td> <td> 15.4 ± 2.9 </t...
	<table border="1" class="dataframe"> <tr> <th> Level of clinical suspicion </th> <th> Ultrasound </th> <th> No Ultrasound </th> <th> Risk ratio for harm (95% CI) </th> <th> Risk ratio for benefit (95% CI) </th> <th> Odds ratio (95% CI) </th> <th> Risk difference (95% CI) ...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> PSZ threshold </th> <th> # phylogenetic motifs </th> <th> # sequences </th> </tr> <tr> <td> # phylogenetic motifs </td> <td> 0.15 </td> <td> </td> <td> </td> </tr> <tr> <td> # sequences </td> <td> 0...
	<table border="1" class="dataframe"> <tr> <th> Protein family </th> <th> PDB ID </th> <th> Correct </th> <th> Useful info </th> <th> Wrong </th> </tr> <tr> <td> A. Proteins from Table 1 </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> ...
	<table border="1" class="dataframe"> <tr> <th> Age of the patienta </th> <th> Detected pathogenic microbial strain(s) </th> <th> Antimicrobial agent(s) used </th> <th> Special remarks </th> </tr> <tr> <td> 11 months </td> <td> E. coli (group C) </td> <td> Trimethoprim a...
	<table border="1" class="dataframe"> <tr> <th colspan="2"> Threshold of clinical benefit that would make offering PDT as a treatment worthwhile </th> <th colspan="4"> Survey year </th> </tr> <tr> <th> </th> <th> </th> <th> 2000 </th> <th> 2001 </th> <th> 2002 </th> <th> ...
	<table border="1" class="dataframe"> <tr> <th> Dependent variable </th> <th> Independent variables </th> <th> β </th> <th> R </th> <th> R2 </th> <th> Adjusted R2 </th> </tr> <tr> <td rowspan="5"> Attitude concerning the use of PDT </td> <td> Social pressure from ...
	<table border="1" class="dataframe"> <tr> <th> Characteristic </th> <th colspan="6"> Genotype [n (%)] </th> </tr> <tr> <th> </th> <th> CYP2D61/1 </th> <th> CYP2D61/4 </th> <th> CYP2D64/4 </th> <th> SULT1A11/1 </th> <th> SULT1A11/2 </th> <th> SULT1A1...
	<table border="1" class="dataframe"> <tr> <th> Clone </th> <th> Monkey </th> <th> Longest time to Syncytia Formation </th> <th> Longest time to Detectable p27 </th> </tr> <tr> <td> Group 1 </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> 109 </td> <td> ...
	<table border="1" class="dataframe"> <tr> <th> Env – gp41 </th> <th> 573 </th> <th> 631 </th> <th> 676 </th> <th> 713 </th> <th> 734 </th> <th> 737 </th> <th> 741 </th> <th> 751 </th> <th> 752 </th> <th> 760 </th> <th> 764 </th> <th>...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> 695 </th> <th> 737 </th> <th> 741 </th> <th> 747 </th> <th> 748 </th> <th> 751 </th> <th> 758 </th> <th> 760 </th> <th> 785 </th> <th> 794 </th> <th> 802 </th> <th> 808 </th...
	<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="5"> Observed Unordered Genotypes/Number of A Alleles in Pool j \| True Unordered Genotype AABB </th> </tr> <tr> <th> α </th> <th> BBBB/ 0 </th> <th> ABBB/ 1 </th> <th> AABB/ 2 </th> <th> AAAB/ 3 </th> <th...
	<table border="1" class="dataframe"> <tr> <th> Group (G) </th> <th> Sample </th> <th> Year </th> <th> n </th> <th> Age years mean (SD) </th> <th> Sex % males </th> <th> Education median level (range) </th> </tr> <tr> <td> 1 </td> <td> First population samp...
	<table border="1" class="dataframe"> <tr> <th> Variable </th> <th> OR (CI) </th> </tr> <tr> <td> Psychological illness low </td> <td> 1 </td> </tr> <tr> <td> High </td> <td> 2.2 (1.2–4.0) </td> </tr> <tr> <td> Abdominal illness low </td> <td> 1 </td> </tr>...
	<table border="1" class="dataframe"> <tr> <th colspan="2"> N = 43 </th> </tr> <tr> <th> Retrospective </th> <th> 7 </th> </tr> <tr> <td> Planning </td> <td> 4 </td> </tr> <tr> <td> Not in 3rd trimester </td> <td> 32 </td> </tr> <tr> <td> Discontinued drug (...
	<table border="1" class="dataframe"> <tr> <th rowspan="3"> Bronchus Superficial Epithelium Basal Cells </th> <th rowspan="3"> AQP5 (Apical), AQP4 (Basolateral) AQP3 </th> </tr> <tr> </tr> <tr> </tr> <tr> <td> Submucosal Glands </td> <td> AQP5 (Apical), AQP3,4 (Basolateral) </td> </tr...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> B </th> <th> S.E. </th> <th> Wald </th> <th> df </th> <th> Sig. </th> <th> Odds ratio Exp(B) (90% C.I.) </th> </tr> <tr> <td> INITIAL MODEL* </td> <td> </td> <td> </td> <td> </td> <td> </td>...
	<table border="1" class="dataframe"> <tr> <th> CONSULTATION AT GP COOPERATIVE </th> <th> B </th> <th> S.E. </th> <th> Wald </th> <th> df </th> <th> Sig. </th> <th> Odds ratio Exp(B) (90% C.I.) </th> </tr> <tr> <td> INITIAL MODEL* </td> <td> </td> <td> <...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> Ka, M-1 </th> <th> -∆H, kcal/mole </th> <th> -∆G, kcal/mole </th> <th> -∆S, cal/moleK </th> <th> Nr exp. </th> </tr> <tr> <td> 27°C </td> <td> 192 ± 5 </td> <td> 6.27 ± 0.10 </td> <td> 3.122 <...
	<table border="1" class="dataframe"> <tr> <th> Treatment </th> <th colspan="5"> Response (%) </th> </tr> <tr> <th> </th> <th> N </th> <th> Complete </th> <th> Partial </th> <th> Death or peritoneal metastasis </th> <th> None </th> </tr> <tr> <td> Ad.p35 + A...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> DA sample (N = 60) </th> <th> Historical controls (No./Total) </th> <th> Fisher's Exact Test P-value </th> </tr> <tr> <td> Knowledge of personal pathology results </td> <td> </td> <td> </td> <td> </td> </tr> <tr> ...
	<table border="1" class="dataframe"><tr><td>Amount of information</td><td>Much less than needed 5%</td><td>A little less than needed 14%</td><td>About right 77%</td><td>A little more than needed 4%</td><td></td><td>DK or refused 7%</td></tr><tr><td>Length</td><td>Much too short 0%</td><td>A little too short 11%</td><td...
	<table border="1" class="dataframe"> <tr> <th> Surgical complications </th> <th> General complications </th> <th> Perioperative Mortality </th> </tr> <tr> <td> Surgical procedure (p = 0.0004) </td> <td> Surgical procedure (p = 0.0001) </td> <td> Surgical procedure (p = 0.0068)...
	<table border="1" class="dataframe"> <tr> <th> parameter </th> <th> Squamous cell carcinoma (n = 229) </th> <th> Adenocarcinoma (n = 150) </th> <th> p-value </th> </tr> <tr> <td> - Surgical procedure (% transhiatal) </td> <td> 30.6 </td> <td> 68.7 </td> <td> 0.00...
	<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Putative S/MARs in 5' regions (%)* </th> <th colspan="2"> Putative S/MARs in 3' regions (%)* </th> </tr> <tr> <th> Prediction scheme </th> <th> Hkg# </th> <th> Tsg§ </th> <th> Hkg# </th> <th> Tsg§...
	<table border="1" class="dataframe"> <tr> <th> Length (bp)* </th> <th colspan="4"> P-value in intervals of scores </th> </tr> <tr> <th> </th> <th> -1.2 to -1 </th> <th> -1 to -0.8 </th> <th> 0.8 to 1 </th> <th> 1 to 1.2 </th> </tr> <tr> <td> 400 </td> <td> ...
	<table border="1" class="dataframe"> <tr> <th> Repeat category </th> <th colspan="2"> No. of copies </th> <th colspan="2"> % of the total sequences covered by the repeat </th> </tr> <tr> <th> </th> <th> Hkg# </th> <th> Tsg* </th> <th> Hkg# </th> <th> Tsg* </th> <...
	<table border="1" class="dataframe"> <tr> <th> Unified Nomenclature </th> <th> Domain </th> <th> Human </th> <th> S. cerevisiae (Core subunits) </th> <th> S. pombe Csn7Bp complex </th> <th> S. pombe Int6p complex </th> <th> S. pombe eIF3b complex </th> </tr> <tr> <t...
	<table border="1" class="dataframe"> <tr> <th> Name </th> <th colspan="2"> Genotype </th> <th> Source </th> </tr> <tr> <th> DS448/1 </th> <th> leu1-32 ura4-d18 ade6-704 </th> <th> h+ </th> <th> Lab stock </th> </tr> <tr> <td> DS448/2 </td> <td> leu1-32 u...
	<table border="1" class="dataframe"> <tr> <th> Gene Name </th> <th> Sequence </th> <th> Product Size (bp) </th> </tr> <tr> <td> actinF </td> <td> GAGCTTCCTGATGGTCAAGT </td> <td> 200 </td> </tr> <tr> <td> actinR </td> <td> GGATACATAGTGGTACCACC </td> <td> <...
	<table border="1" class="dataframe"> <tr> <th> Class of mutants </th> <th> Gene or ORF name deleted </th> <th> Functional group </th> <th> Response HAP in spot tests† </th> <th> Induced mutant frequency (×10-7) by HAP# </th> <th> Survival in presence of HAP# </th> </tr> <tr>...
	<table border="1" class="dataframe"> <tr> <th> Finding </th> <th> BASDAI </th> <th> BASMI </th> <th> BASFI </th> <th> PatGA </th> <th> PhysGA </th> <th> NRS-P </th> <th> ESR (mm/h) </th> <th> CRP (mg/l) </th> </tr> <tr> <td colspan="2"> At time poin...
	<table border="1" class="dataframe"> <tr> <th> Parameter </th> <th> RA patients (n = 8) </th> <th> AC patients (n = 3) </th> </tr> <tr> <td> Age (years) </td> <td> 58 (34–69) </td> <td> 56 (49–68) </td> </tr> <tr> <td> Sex (no. of males/females) </td> <td> 4/4 ...
	<table border="1" class="dataframe"> <tr> <th> Origin </th> <th> mAb </th> <th> Synovial fluid </th> </tr> <tr> <td> CD4+ cells </td> <td> CD4 </td> <td> 191 (<10–711) </td> </tr> <tr> <td> CD8+ cells </td> <td> CD8 </td> <td> <10 (<10–331) </...
	<table border="1" class="dataframe"> <tr> <th> Target </th> <th> Forward primer </th> <th> Probe </th> <th> Reverse primer </th> <th> Threshold </th> </tr> <tr> <td> GAPDH </td> <td> PDAR </td> <td> PDAR </td> <td> PDAR </td> <td> 0.047 </td> </t...
	<table border="1" class="dataframe"> <tr> <th> Target </th> <th> General trend </th> <th colspan="2"> Tissues affected </th> <th> Significant changesa (P < 0.05) </th> </tr> <tr> <th> </th> <th> </th> <th> Origin of cells </th> <th> Disease state </th> <th> </...

<table border="1" class="dataframe"> <tr> <th> Characteristic </th> <th> Cases (n = 1125) </th> <th> Controls (n = 1197) </th> <th> P-valuea </th> </tr> <tr> <td> Demographic factors </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Age (years [mean ± SD]) ...

<table border="1" class="dataframe"> <tr> <th> Stratified variable (by median) </th> <th colspan="6"> MnSOD genotypes </th> </tr> <tr> <th> </th> <th colspan="2"> Val/Val </th> <th colspan="2"> Val/Ala </th> <th colspan="2"> Ala/Ala </th> </tr> <tr> <th> </th> <th> n...

<table border="1" class="dataframe"> <tr> <th> Protein </th> <th> Percentage </th> </tr> <tr> <td> PCNA </td> <td> 15.93 ± 4.38 </td> </tr> <tr> <td> hMLH1 </td> <td> 0.25 ± 1.11 </td> </tr> <tr> <td rowspan="2"> hPMS1 in </td> <td> 0.6 ± 0.99 </td> </tr> ...

<table border="1" class="dataframe"> <tr> <th> Group </th> <th> RNA source </th> <th> Treatment </th> <th> Days after injection </th> <th> No. of animals </th> </tr> <tr> <td> AN </td> <td> Naive control (absolute negative) BALB/cSCID paw </td> <td> None </td> ...

<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Mean fluorescence of CXCR3a </th> <th> </th> </tr> <tr> <th> Patient no. </th> <th> In PB cells </th> <th> In SF cells </th> <th> D/sb </th> </tr> <tr> <td> 1 </td> <td> 35.79 </td> <td>...

<table border="1" class="dataframe"> <tr> <th> Course </th> <th> No. of patients </th> <th> Age (years) </th> <th> Disease duration (years) </th> <th> No. of joints with active/ limited range of motion </th> <th> PGI </th> <th> ESR (mm/h) </th> <th> Treatment; n ...

<table border="1" class="dataframe"> <tr> <th> Patient no. </th> <th> Age (year) </th> <th> Form </th> <th> Pattern </th> <th> CD3 </th> <th colspan="3"> CCR7 </th> <th colspan="3"> CXCR3 </th> <th colspan="3"> CCR5 </th> </tr> <tr> <th> </th> <th> </th...

<table border="1" class="dataframe"> <tr> <th> </th> <th> </th> <th> </th> <th colspan="2"> 100 × CD4+CD25+/CD4+ (N) </th> </tr> <tr> <th> Treatment </th> <th> Expt no. </th> <th> Organ </th> <th> IFN-γR KO </th> <th> WT </th> </tr> <tr> <td rowspan="6"> N...

<table border="1" class="dataframe"> <tr> <th rowspan="2"> SAGE library </th> <th rowspan="2"> Total testis TT 1+2 </th> <th rowspan="2"> Adult testis somatic cells ATSC </th> </tr> <tr> </tr> <tr> <td> Total tags </td> <td> 76 854 </td> <td> 81 478 </td> </tr> <tr> <t...

<table border="1" class="dataframe"> <tr> <th> Predicted </th> <th> Observed </th> <th> N of observations </th> </tr> <tr> <td> 0.001 </td> <td> 0.001 </td> <td> 1116 </td> </tr> <tr> <td> 0.010 </td> <td> 0.007 </td> <td> 2621 </td> </tr> <tr> <td...

<table border="1" class="dataframe"> <tr> <th> Level of Evidence </th> <th> Preventive Manoeuvre </th> </tr> <tr> <td rowspan="8"> AΩ & B¥-categories: (Appropriate) </td> <td> 1. Folic acid for primary prevention of neural tube defects </td> </tr> <tr> <td> 2. Smoking cessation...

<table border="1" class="dataframe"> <tr> <th> Measure </th> <th> Intervention Group (N = 22) </th> <th> Control Group (N = 23) </th> <th> Significance (P value) </th> </tr> <tr> <td> Percentage of Group Practices </td> <td> 77.3% </td> <td> 60.9% </td> <td> .34 ...

<table border="1" class="dataframe"> <tr> <th> Variable </th> <th> Value and Rangea </th> <th> Source </th> </tr> <tr> <td> A & B Manœuvres </td> <td> </td> <td> </td> </tr> <tr> <td> Folic Acid </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in ...

<table border="1" class="dataframe"> <tr> <th> Variable </th> <th> Value and Rangea </th> <th> Source </th> </tr> <tr> <td> D Manoeuvres </td> <td> </td> <td> </td> </tr> <tr> <td> Blood Glucose Screening </td> <td> </td> <td> </td> </tr> <tr> <td> Differen...

<table border="1" class="dataframe"> <tr> <th> Condition </th> <th> Baseline </th> <th> Low </th> <th> High </th> </tr> <tr> <td> Breast Cancer </td> <td> $12,075.20 </td> <td> $4,026.97 </td> <td> $20,123.44 </td> </tr> <tr> <td> Influenza </td> <td...

<table border="1" class="dataframe"> <tr> <th> </th> <th> Baseline </th> <th> Low </th> <th> High </th> </tr> <tr> <td> Costs </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Intervention Cost </td> <td> $238,388 </td> <td> $238,388 </td> <td...

<table border="1" class="dataframe"> <tr> <th> Purpose </th> <th> Family Medicine [%] </th> <th> Specialist [%] </th> <th> χ2 </th> <th> df </th> <th> p-value </th> </tr> <tr> <td> Personal use </td> <td> 83.0 </td> <td> 86.4 </td> <td> 3.87 </td>...

<table border="1" class="dataframe"> <tr> <th colspan="2"> Percentiles </th> <th colspan="2"> Boys </th> <th colspan="2"> Girls </th> </tr> <tr> <th> </th> <th> </th> <th> Q-max </th> <th> Q-Ave </th> <th> Q-max </th> <th> Q-Ave </th> </tr> <tr> <td rowspa...

<table border="1" class="dataframe"> <tr> <th> Scale </th> <th colspan="6"> Scale statistics </th> </tr> <tr> <th> </th> <th> Mean (SD) Total UK Sample </th> <th> Mean (SD) Total US Sample </th> <th> Percentage floor chronic health condition/healthy (UK Sample) </th> <th> ...

<table border="1" class="dataframe"> <tr> <th> Scale </th> <th colspan="4"> Self-report </th> <th colspan="4"> Proxy-report </th> </tr> <tr> <th> </th> <th> N </th> <th> Mean (sd) </th> <th> df </th> <th> F </th> <th> N </th> <th> Mean (sd) </th> <...

<table border="1" class="dataframe"> <tr> <th> Scale: </th> <th> Total Sample </th> <th> Healthy children </th> <th> Children with chronic health condition </th> </tr> <tr> <td> Total score </td> <td> 0.56* </td> <td> 0.32* </td> <td> 0.67* </td> </tr> <tr> ...

<table border="1" class="dataframe"> <tr> <th> Base Model </th> <th> Spatial Distribution Function of Alternative Model </th> <th> Base Model Observed Dataset </th> <th> More Explicit Model Observed Dataset </th> </tr> <tr> <td> Null </td> <td> Distance Decline </td> <td> ...

<table border="1" class="dataframe"> <tr> <th> Author </th> <th> Year </th> <th> No of cases </th> <th> Results </th> </tr> <tr> <td> Zahner et al [15] </td> <td> 1994 </td> <td> 1 </td> <td> Positive </td> </tr> <tr> <td> Cadigan et al [7] </td> <td...

<table border="1" class="dataframe"> <tr> <th> Time (h) </th> <th> Type </th> <th colspan="5"> Duration </th> <th> Time (h) </th> <th colspan="5"> Duration </th> </tr> <tr> <th> </th> <th> </th> <th colspan="2"> Oscillation type </th> <th colspan="2"> Fetal move...

<table border="1" class="dataframe"> <tr> <th> Sitea </th> <th> Enzymeb </th> <th> Gene Card </th> <th> UniGenec </th> <th> SAGEc </th> <th> Full Name </th> </tr> <tr> <td rowspan="4"> 163 </td> <td> EGFR Kinase </td> <td> EGFR </td> <td> Yes </td...

<table border="1" class="dataframe"> <tr> <th> </th> <th> Nature (12/00) </th> <th> Release 1 (8/01) </th> <th> Release 2 (1/02) </th> <th> Release 3 (8/02) </th> <th> Release 4 (4/03) </th> <th> Release 5 (1/04) </th> </tr> <tr> <td> Genome size (Mb) </td> <td>...

<table border="1" class="dataframe"> <tr> <th> Transposable element classification </th> <th> # Annotated genomic regions </th> </tr> <tr> <td> Class I (Retrotransposons) </td> <td> 1652 </td> </tr> <tr> <td> gypsy-like retrotransposon family (Athila) </td> <td> 511 </td> ...

<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th> Overall composition </th> <th> All Genes (3462) </th> <th> Proteins (>100 residues) </th> <th> Membrane Proteins </th> <th> Non-Membrane Proteins </th> </tr> <tr> <td> A </td> <td> 5.49 </t...

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> FP </th> <th> FN </th> <th> TP </th> <th> TN </th> <th> S(M) </th> </tr> <tr> <td> GEM </td> <td> 4 </td> <td> 6 </td> <td> 115 </td> <td> 2340 </td> <td> 226 </td> </...

<table border="1" class="dataframe"> <tr> <th> Percent Composition </th> <th colspan="2"> Ala </th> <th colspan="2"> Gly </th> <th colspan="2"> Arg </th> <th colspan="2"> Val </th> </tr> <tr> <th> </th> <th> Genes * </th> <th> E. Level ** </th> <th> Genes <...

<table border="1" class="dataframe"> <tr> <th> Percent Composition </th> <th colspan="2"> Asp </th> <th colspan="2"> Leu </th> <th colspan="2"> Asn </th> <th colspan="2"> Ser </th> </tr> <tr> <th> </th> <th> Genes* </th> <th> E. Level** </th> <th> Genes </t...

<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th colspan="2"> Alternate Dataset 1 (Untreated) </th> <th colspan="2"> Alternate Dataset 2 (Treated) </th> </tr> <tr> <th> </th> <th> All Genes </th> <th> > 100 residues </th> <th> All Genes </th> <th>...

<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th> Correlation with log(Fold change) </th> </tr> <tr> <td> A </td> <td> -0.184 </td> </tr> <tr> <td> C </td> <td> 0.055 </td> </tr> <tr> <td> D </td> <td> 0.029 </td> </tr> <tr> <td> E...

<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Total Samples </th> <th colspan="2"> Scanty Growth </th> <th colspan="2"> Semi-confluent growth </th> <th colspan="2"> Confluent growth </th> <th> P-value2 </th> </tr> <tr> <th> Nugent's score1 </th> ...

<table border="1" class="dataframe"> <tr> <th> Genital micro-organisms </th> <th colspan="7"> Prevalence of genital micro-organism in those with: </th> </tr> <tr> <th> </th> <th colspan="2"> No lactobacilli </th> <th colspan="2"> Non H2O2 producing lactobacilli </th> <th colspan="2"...

<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="3"> Prevalence of BV (Nugent's score 7–10) </th> <th colspan="3"> Prevalence of HIV </th> </tr> <tr> <th> </th> <th> n/N </th> <th> % </th> <th> P-value4 </th> <th> n/N </th> <th> % </th> <th>...

<table border="1" class="dataframe"> <tr> <th> Season </th> <th> Onset </th> <th> Peak </th> <th> Offset </th> <th> Duration </th> </tr> <tr> <td> 1995/1996 late season </td> <td> 1 </td> <td> 12 </td> <td> 17 </td> <td> 17 </td> </tr> <tr> <t...

<table border="1" class="dataframe"> <tr> <th> Gene </th> <th> No. of Species </th> <th> TP </th> <th> TN </th> <th> FP </th> <th> FN </th> <th> Specificity </th> <th> Sensitivity </th> <th> Accuracy </th> <th> Balanced Accuracy </th> </tr> <tr> ...

<table border="1" class="dataframe"> <tr> <th> Gene </th> <th> Species </th> <th> TP </th> <th> FP </th> <th> FN </th> <th> Score </th> </tr> <tr> <td> atp1 </td> <td> Secale cereale </td> <td> 0 </td> <td> 5 </td> <td> 1 (0) </td> <td> ...

<table border="1" class="dataframe"> <tr> <th> Mantoux </th> <th> Children </th> <th colspan="3"> Evaluation of scar formation [n (%)] </th> </tr> <tr> <th> Induration (mm) </th> <th> n </th> <th> Real scar (>2 mm) </th> <th> (≤ Tiny scar 2 mm) </th> <th> No s...

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN-T </td> <td> 82.28% </td> <td> 78.36% </td> <td> 79.71% </td> <td> 80.12% </td> </tr> <tr> <td...

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> ref4 </th> <th> ref5 </th> <th> Total </th> </tr> <tr> <td> DIALIGN-T </td> <td> 82.76% </td> <td> 91.28% </td> <td> 75.34% </t...

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN 2.2 </td> <td> 20.00%+ </td> <td> 23.33%0 </td> <td> 23.33%+ </td> <td> 22.22%+ </td> </tr> <tr>...

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN 2.2 </td> <td> 11.67%+ </td> <td> 21.67%0 </td> <td> 23.33%+ </td> <td> 18.89%+ </td> </tr> <tr>...

<table border="1" class="dataframe"> <tr> <th> Pfam </th> <th> Type </th> <th> SCOP </th> </tr> <tr> <td> DHH </td> <td> Family </td> <td> c.107.1.1; c.107.1.2 </td> </tr> <tr> <td> OsmC </td> <td> Family </td> <td> d.227.1.2; d.227.1.1 </td> </tr> <...

<table border="1" class="dataframe"><tr><td>Signs and symptoms of HF</td><td>Effort dyspnoea, Hortopnoea, III-IV tones, Pulmonary rales</td></tr><tr><td>Normal or mildly reduced LV systolic function</td><td>≥ EF 45 % e LVIDDi > 3.2 cm·m -2</td></tr><tr><td>Evidence of abnormalities LV of relaxation/filling and/or di...

<table border="1" class="dataframe"> <tr> <th> Event </th> <th colspan="2"> Happened to Me </th> <th colspan="2"> Happened to Someone I Know Well </th> </tr> <tr> <th> </th> <th> Number </th> <th> % </th> <th> Number </th> <th> % </th> </tr> <tr> <td> Badly...

<table border="1" class="dataframe"> <tr> <th colspan="2"> Rate of PTSD symptoms on the K-SADS </th> <th colspan="2"> Rate of PTSD symptoms on the CATS </th> </tr> <tr> <th> symptom </th> <th> % </th> <th> symptom </th> <th> % </th> </tr> <tr> <td> </td> <td colspan=...

<table border="1" class="dataframe"> <tr> <th> PTSD Symptom </th> <th> </th> <th> </th> <th> </th> <th colspan="2"> 95% Confidence Interval </th> </tr> <tr> <th> </th> <th> </th> <th> Observed Kappa </th> <th> Standard Error </th> <th> Lower Limit </th> <th> ...

<table border="1" class="dataframe"> <tr> <th> </th> <th rowspan="3"> Interested (n = 225) % </th> <th rowspan="3"> Non-interested (n = 553) % </th> <th rowspan="3"> OR (95% CI)1) </th> </tr> <tr> <th> </th> </tr> <tr> <th> </th> </tr> <tr> <td> Physician visit in past year ...

<table border="1" class="dataframe"> <tr> <th> Complication </th> <th> Patients (n) </th> </tr> <tr> <td> Pin site infection grade 2 [13] </td> <td> 5 </td> </tr> <tr> <td> Loose pin at removal of fixator/pins </td> <td> 6 </td> </tr> <tr> <td> Septic arthritis </...

<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="5"> Univeriate analysis </th> <th colspan="3"> Multivariate analysisII </th> </tr> <tr> <th> Predictor Variable </th> <th> Na </th> <th> Cb </th> <th> (95% CI) </th> <th> pc </th> <th> R2 adjd ...

<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th colspan="5"> Income Quintile </th> <th> P-value </th> </tr> <tr> <th> </th> <th> 1 </th> <th> 2 </th> <th> 3 </th> <th> 4 </th> <th> 5 </th> <th> </th> </tr> <tr> <td> </td> ...

<table border="1" class="dataframe"> <tr> <th> Outcome/Treatment N (%) </th> <th colspan="5"> Income Quintile </th> <th> P-value </th> </tr> <tr> <th> </th> <th> 1 </th> <th> 2 </th> <th> 3 </th> <th> 4 </th> <th> 5 </th> <th> </th> </tr> <tr> <td> ...

<table border="1" class="dataframe"> <tr> <th> Season correlated with malaria cases in 1800–1870 </th> <th colspan="4"> Source of temperature series </th> </tr> <tr> <th> </th> <th> Helsinki 1830–1870 41 years </th> <th> Tornedalen 1818–1870 53 years </th> <th> Stockholm 1800–187...

<table border="1" class="dataframe"> <tr> <th> Month of preceding year correlated with malaria cases in 1800–1870 </th> <th colspan="4"> Source of temperature series </th> </tr> <tr> <th> </th> <th> Helsinki 1830–1870 41 years </th> <th> Tornedalen 1818–1870 53 years </th> <th> S...

<table border="1" class="dataframe"> <tr> <th> Tortoise no. </th> <th colspan="20"> Nucleotide position </th> <th> Origin </th> <th> 12S haplotype </th> </tr> <tr> <th> </th> <th> </th> <th> </th> <th> </th> <th> </th> <th> 1 </th> <th> 1 </th> <th> ...

<table border="1" class="dataframe"> <tr> <th> A. </th> <th colspan="12"> HPV cLIA time (weeks) </th> </tr> <tr> <th> HPV type </th> <th> 0 </th> <th> 2 </th> <th> 4 </th> <th> 8 </th> <th> 10 </th> <th> 12 </th> <th> 16 </th> <th> 20 </th>...

<table border="1" class="dataframe"> <tr> <th> Index </th> <th> N </th> <th colspan="2"> Groups </th> <th> P < : </th> </tr> <tr> <th> </th> <th> </th> <th> Control (+/+) </th> <th> Diabetes (db/db) </th> <th> </th> </tr> <tr> <td> Body Weight (g) </t...

<table border="1" class="dataframe"> <tr> <th> Source of E. coli </th> <th> Lambda </th> <th> M13 </th> <th> P1 </th> <th> øX174 </th> <th> T4 </th> <th> T7 </th> <th> none </th> </tr> <tr> <td> Mouse feces and GI tracts (n = 22) </td> <td> 0 (0%) ...

<table border="1" class="dataframe"> <tr> <th> Study Group </th> <th> No. </th> <th> 11 </th> <th> 12 </th> <th> 22 </th> <th colspan="3"> 12 + 22 </th> </tr> <tr> <th> </th> <th> </th> <th> n (%) </th> <th> n (%) </th> <th> n (%) </th> <th> ...

<table border="1" class="dataframe"> <tr> <th> Functional type </th> <th> Fluffy tails (F>2) </th> <th> No fluffy tails (F<2) </th> <th> Positive rate </th> <th> Negative rate </th> </tr> <tr> <td> Regulatory regions </td> <td> 51 </td> <td> 9 </td> <td...

<table border="1" class="dataframe"> <tr> <th> </th> <th> Arabidopsis thaliana </th> <th> Haemophilus influenzae </th> <th> Helicobacter pylori 26695 </th> <th> Helicobacter pylori J99 </th> <th> Homo sapien </th> <th> Saccharomyces cerevisiae </th> </tr> <tr> <td> ...

<table border="1" class="dataframe"> <tr> <th> </th> <th> 14,349 Unique NCBI One Term Windows </th> <th> 18,934 Unique NCBI Two Term Windows </th> <th> 24,747 Unique NCBI Three Term Windows </th> </tr> <tr> <td> GO Term Equality </td> <td> 16,001 </td> <td> 9096 </td> ...

<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th> Stage I </th> <th> Stage II </th> <th> Stage III </th> <th> Stage IV </th> <th> P value </th> </tr> <tr> <td> Age at Cohort Entrance </td> <td> 14.3 ± 2.3 </td> <td> 15.4 ± 2.9 </t...

<table border="1" class="dataframe"> <tr> <th> Level of clinical suspicion </th> <th> Ultrasound </th> <th> No Ultrasound </th> <th> Risk ratio for harm (95% CI) </th> <th> Risk ratio for benefit (95% CI) </th> <th> Odds ratio (95% CI) </th> <th> Risk difference (95% CI) ...

<table border="1" class="dataframe"> <tr> <th> </th> <th> PSZ threshold </th> <th> # phylogenetic motifs </th> <th> # sequences </th> </tr> <tr> <td> # phylogenetic motifs </td> <td> 0.15 </td> <td> </td> <td> </td> </tr> <tr> <td> # sequences </td> <td> 0...

<table border="1" class="dataframe"> <tr> <th> Protein family </th> <th> PDB ID </th> <th> Correct </th> <th> Useful info </th> <th> Wrong </th> </tr> <tr> <td> A. Proteins from Table 1 </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> ...

<table border="1" class="dataframe"> <tr> <th> Age of the patienta </th> <th> Detected pathogenic microbial strain(s) </th> <th> Antimicrobial agent(s) used </th> <th> Special remarks </th> </tr> <tr> <td> 11 months </td> <td> E. coli (group C) </td> <td> Trimethoprim a...

<table border="1" class="dataframe"> <tr> <th colspan="2"> Threshold of clinical benefit that would make offering PDT as a treatment worthwhile </th> <th colspan="4"> Survey year </th> </tr> <tr> <th> </th> <th> </th> <th> 2000 </th> <th> 2001 </th> <th> 2002 </th> <th> ...

<table border="1" class="dataframe"> <tr> <th> Dependent variable </th> <th> Independent variables </th> <th> β </th> <th> R </th> <th> R2 </th> <th> Adjusted R2 </th> </tr> <tr> <td rowspan="5"> Attitude concerning the use of PDT </td> <td> Social pressure from ...

<table border="1" class="dataframe"> <tr> <th> Characteristic </th> <th colspan="6"> Genotype [n (%)] </th> </tr> <tr> <th> </th> <th> CYP2D6*1/*1 </th> <th> CYP2D6*1/*4 </th> <th> CYP2D6*4/*4 </th> <th> SULT1A1*1/*1 </th> <th> SULT1A1*1/*2 </th> <th> SULT1A1...

<table border="1" class="dataframe"> <tr> <th> Clone </th> <th> Monkey </th> <th> Longest time to Syncytia Formation </th> <th> Longest time to Detectable p27 </th> </tr> <tr> <td> Group 1 </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> 109 </td> <td> ...

<table border="1" class="dataframe"> <tr> <th> Env – gp41 </th> <th> 573 </th> <th> 631 </th> <th> 676 </th> <th> 713 </th> <th> 734 </th> <th> 737 </th> <th> 741 </th> <th> 751 </th> <th> 752 </th> <th> 760 </th> <th> 764 </th> <th>...

<table border="1" class="dataframe"> <tr> <th> </th> <th> 695 </th> <th> 737 </th> <th> 741 </th> <th> 747 </th> <th> 748 </th> <th> 751 </th> <th> 758 </th> <th> 760 </th> <th> 785 </th> <th> 794 </th> <th> 802 </th> <th> 808 </th...

<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="5"> Observed Unordered Genotypes/Number of A Alleles in Pool j | True Unordered Genotype AABB </th> </tr> <tr> <th> α </th> <th> BBBB/ 0 </th> <th> ABBB/ 1 </th> <th> AABB/ 2 </th> <th> AAAB/ 3 </th> <th...

<table border="1" class="dataframe"> <tr> <th> Group (G) </th> <th> Sample </th> <th> Year </th> <th> n </th> <th> Age years mean (SD) </th> <th> Sex % males </th> <th> Education median level (range) </th> </tr> <tr> <td> 1 </td> <td> First population samp...

<table border="1" class="dataframe"> <tr> <th> Variable </th> <th> OR (CI) </th> </tr> <tr> <td> Psychological illness low </td> <td> 1 </td> </tr> <tr> <td> High </td> <td> 2.2 (1.2–4.0) </td> </tr> <tr> <td> Abdominal illness low </td> <td> 1 </td> </tr>...

<table border="1" class="dataframe"> <tr> <th colspan="2"> N = 43 </th> </tr> <tr> <th> Retrospective </th> <th> 7 </th> </tr> <tr> <td> Planning </td> <td> 4 </td> </tr> <tr> <td> Not in 3rd trimester </td> <td> 32 </td> </tr> <tr> <td> Discontinued drug (...

<table border="1" class="dataframe"> <tr> <th rowspan="3"> Bronchus Superficial Epithelium Basal Cells </th> <th rowspan="3"> AQP5 (Apical), AQP4 (Basolateral) AQP3 </th> </tr> <tr> </tr> <tr> </tr> <tr> <td> Submucosal Glands </td> <td> AQP5 (Apical), AQP3,4 (Basolateral) </td> </tr...

<table border="1" class="dataframe"> <tr> <th> </th> <th> B </th> <th> S.E. </th> <th> Wald </th> <th> df </th> <th> Sig. </th> <th> Odds ratio Exp(B) (90% C.I.) </th> </tr> <tr> <td> INITIAL MODEL* </td> <td> </td> <td> </td> <td> </td> <td> </td>...

<table border="1" class="dataframe"> <tr> <th> CONSULTATION AT GP COOPERATIVE </th> <th> B </th> <th> S.E. </th> <th> Wald </th> <th> df </th> <th> Sig. </th> <th> Odds ratio Exp(B) (90% C.I.) </th> </tr> <tr> <td> INITIAL MODEL* </td> <td> </td> <td> <...

<table border="1" class="dataframe"> <tr> <th> </th> <th> Ka, M-1 </th> <th> -∆H, kcal/mole </th> <th> -∆G, kcal/mole </th> <th> -∆S, cal/moleK </th> <th> Nr exp. </th> </tr> <tr> <td> 27°C </td> <td> 192 ± 5 </td> <td> 6.27 ± 0.10 </td> <td> 3.122 <...

<table border="1" class="dataframe"> <tr> <th> Treatment </th> <th colspan="5"> Response (%) </th> </tr> <tr> <th> </th> <th> N </th> <th> Complete </th> <th> Partial </th> <th> Death or peritoneal metastasis </th> <th> None </th> </tr> <tr> <td> Ad.p35 + A...

<table border="1" class="dataframe"> <tr> <th> </th> <th> DA sample (N = 60) </th> <th> Historical controls (No./Total) </th> <th> Fisher's Exact Test P-value </th> </tr> <tr> <td> Knowledge of personal pathology results </td> <td> </td> <td> </td> <td> </td> </tr> <tr> ...

<table border="1" class="dataframe"><tr><td>Amount of information</td><td>Much less than needed 5%</td><td>A little less than needed 14%</td><td>About right 77%</td><td>A little more than needed 4%</td><td></td><td>DK or refused 7%</td></tr><tr><td>Length</td><td>Much too short 0%</td><td>A little too short 11%</td><td...

<table border="1" class="dataframe"> <tr> <th> Surgical complications </th> <th> General complications </th> <th> Perioperative Mortality </th> </tr> <tr> <td> Surgical procedure (p = 0.0004) </td> <td> Surgical procedure (p = 0.0001) </td> <td> Surgical procedure (p = 0.0068)...

<table border="1" class="dataframe"> <tr> <th> parameter </th> <th> Squamous cell carcinoma (n = 229) </th> <th> Adenocarcinoma (n = 150) </th> <th> p-value </th> </tr> <tr> <td> - Surgical procedure (% transhiatal) </td> <td> 30.6 </td> <td> 68.7 </td> <td> 0.00...

<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Putative S/MARs in 5' regions (%)* </th> <th colspan="2"> Putative S/MARs in 3' regions (%)* </th> </tr> <tr> <th> Prediction scheme </th> <th> Hkg# </th> <th> Tsg§ </th> <th> Hkg# </th> <th> Tsg§...

<table border="1" class="dataframe"> <tr> <th> Length (bp)* </th> <th colspan="4"> P-value in intervals of scores </th> </tr> <tr> <th> </th> <th> -1.2 to -1 </th> <th> -1 to -0.8 </th> <th> 0.8 to 1 </th> <th> 1 to 1.2 </th> </tr> <tr> <td> 400 </td> <td> ...

<table border="1" class="dataframe"> <tr> <th> Repeat category </th> <th colspan="2"> No. of copies </th> <th colspan="2"> % of the total sequences covered by the repeat </th> </tr> <tr> <th> </th> <th> Hkg# </th> <th> Tsg* </th> <th> Hkg# </th> <th> Tsg* </th> <...

<table border="1" class="dataframe"> <tr> <th> Unified Nomenclature </th> <th> Domain </th> <th> Human </th> <th> S. cerevisiae (Core subunits) </th> <th> S. pombe Csn7Bp complex </th> <th> S. pombe Int6p complex </th> <th> S. pombe eIF3b complex </th> </tr> <tr> <t...

<table border="1" class="dataframe"> <tr> <th> Name </th> <th colspan="2"> Genotype </th> <th> Source </th> </tr> <tr> <th> DS448/1 </th> <th> leu1-32 ura4-d18 ade6-704 </th> <th> h+ </th> <th> Lab stock </th> </tr> <tr> <td> DS448/2 </td> <td> leu1-32 u...

<table border="1" class="dataframe"> <tr> <th> Gene Name </th> <th> Sequence </th> <th> Product Size (bp) </th> </tr> <tr> <td> actinF </td> <td> GAGCTTCCTGATGGTCAAGT </td> <td> 200 </td> </tr> <tr> <td> actinR </td> <td> GGATACATAGTGGTACCACC </td> <td> <...

<table border="1" class="dataframe"> <tr> <th> Class of mutants </th> <th> Gene or ORF name deleted </th> <th> Functional group </th> <th> Response HAP in spot tests† </th> <th> Induced mutant frequency (×10-7) by HAP# </th> <th> Survival in presence of HAP# </th> </tr> <tr>...

<table border="1" class="dataframe"> <tr> <th> Finding </th> <th> BASDAI </th> <th> BASMI </th> <th> BASFI </th> <th> PatGA </th> <th> PhysGA </th> <th> NRS-P </th> <th> ESR (mm/h) </th> <th> CRP (mg/l) </th> </tr> <tr> <td colspan="2"> At time poin...

<table border="1" class="dataframe"> <tr> <th> Parameter </th> <th> RA patients (n = 8) </th> <th> AC patients (n = 3) </th> </tr> <tr> <td> Age (years) </td> <td> 58 (34–69) </td> <td> 56 (49–68) </td> </tr> <tr> <td> Sex (no. of males/females) </td> <td> 4/4 ...

<table border="1" class="dataframe"> <tr> <th> Origin </th> <th> mAb </th> <th> Synovial fluid </th> </tr> <tr> <td> CD4+ cells </td> <td> CD4 </td> <td> 191 (<10–711) </td> </tr> <tr> <td> CD8+ cells </td> <td> CD8 </td> <td> <10 (<10–331) </...

<table border="1" class="dataframe"> <tr> <th> Target </th> <th> Forward primer </th> <th> Probe </th> <th> Reverse primer </th> <th> Threshold </th> </tr> <tr> <td> GAPDH </td> <td> PDAR </td> <td> PDAR </td> <td> PDAR </td> <td> 0.047 </td> </t...

<table border="1" class="dataframe"> <tr> <th> Target </th> <th> General trend </th> <th colspan="2"> Tissues affected </th> <th> Significant changesa (P < 0.05) </th> </tr> <tr> <th> </th> <th> </th> <th> Origin of cells </th> <th> Disease state </th> <th> </...