Table_1_OLFML2B Is a Robust Prognostic Biomarker in Bladder Cancer Through Genome-Wide Screening: A Study Based on Seven Cohorts.xlsx by Jiaxing Lin (1581886)

“…CIBERSORT and TIMER algorithm was used to calculate the degree of immune cell infiltration.</p>Results<p>We identified OLFML2B as a robust prognostic marker for bladder cancer in five cohorts. …”

(A) Location of national reserves and the area under study in Costa Rica by M E Fagan (557038)

“…Using satellite imagery, we assessed whether deforestation for conversion to pasture and cropland decreased in the lowlands of northern Costa Rica following the 1996 ban on forest clearing, despite a tripling of area under pineapple cultivation in the last decade. …”

Example of the difference “test accuracy–training accuracy” for each hypothetical group in the computer simulations (relationships comparison task, group size 3). by Masaru Shirasuna (14755745)

Immunohistochemical staining in each group. by Yue Yang (52715)

“…<p>Increase in the frequency with same amount of treadmill exercise decreased the MIA-induced degradation of COL2A1 in articular cartilage and reduced the expression of MMP-13 and NF-κB p65. …”

Evolution of the fraction of global infection with a non-linear trade-off. by Koich Saeki (4797375)

“…<p>(a) A linear trade-off between the degree of global infection <i>G</i> (horizontal axis) and that of local infection <i>L</i> (vertical axis) assumed so far (dashed curve), and a non-linear trade-off examined here (solid curve), where the local infection decreases in proportional to . …”

Improvement of saline soils with Vicia sativa L. from a semiarid region by Marcos Afonso Lastiri Hernández (5667116)

“…Analysis of variance was performed to examine the effects of salinity on each of the evaluated variables; Tukey’s test was used to detect differences between the mean values of the variables per treatment. In a greenhouse experiment, the species V. sativa is confirmed to be tolerant to a moderately saline level. …”

Intrinsic discriminability as a function of input statistics for different model neurons. by Fabiano Baroni (234173)

“…<p>A: Mean discriminability between input triplets with exponentially distributed ISIs, as a function of the input mean ISI, for the GIF and the IF neuron. …”

Predictors in ordinal regression model for GDS. by Shane Naidoo (20148021)

“…</p><p>Results</p><p>The sample had a mean BMI of 27.53 kg/m² (95% CI [26.99, 28.07], SD = 5.49), with an obesity prevalence of 31.82%. …”

Classification of hand grip strength. by Shane Naidoo (20148021)

“…</p><p>Results</p><p>The sample had a mean BMI of 27.53 kg/m² (95% CI [26.99, 28.07], SD = 5.49), with an obesity prevalence of 31.82%. …”

Rating scale for functional severity [28]. by Shane Naidoo (20148021)

“…</p><p>Results</p><p>The sample had a mean BMI of 27.53 kg/m² (95% CI [26.99, 28.07], SD = 5.49), with an obesity prevalence of 31.82%. …”

Regression model coefficients. by Shane Naidoo (20148021)

“…</p><p>Results</p><p>The sample had a mean BMI of 27.53 kg/m² (95% CI [26.99, 28.07], SD = 5.49), with an obesity prevalence of 31.82%. …”

ICOPE screening positive participant’s responses. by Shane Naidoo (20148021)

“…</p><p>Results</p><p>The sample had a mean BMI of 27.53 kg/m² (95% CI [26.99, 28.07], SD = 5.49), with an obesity prevalence of 31.82%. …”

WHO BMI classification for adults. by Shane Naidoo (20148021)

“…</p><p>Results</p><p>The sample had a mean BMI of 27.53 kg/m² (95% CI [26.99, 28.07], SD = 5.49), with an obesity prevalence of 31.82%. …”

Data_Sheet_1_Beyond Anti-viral Effects of Chloroquine/Hydroxychloroquine.docx by Vincent Gies (4963168)

“…Chloroquine appears to inhibit in vitro SARS virus' replication and to interfere with SARS-CoV2 receptor (ACE2). Chloroquine and hydroxychloroquine impede lysosomal activity and autophagy, leading to a decrease of antigen processing and presentation. …”

Responses of cells sensitive to the melanopsin-step over a range of irradiances. by Katherine E. Davis (534184)

“…<p>A: PSTHs for firing rate across melanopsin-isolating steps (71% contrast) over a range of backgrounds (across both increasing and decreasing arms of the ramp; n = 24 responsive cells mean±SEM). …”

Table_1_A Stem Cell Surge During Thyroid Regeneration.docx by Risheng Ma (63192)

“…There was marked thyroid tissue apoptosis and a ~50% drop in serum T4 levels (from 5.86 to 2.43 ug/dl) and a corresponding increase in serum TSH (from 0.18 to 8.39 ng/dl). …”

Image_3_A Stem Cell Surge During Thyroid Regeneration.tif by Risheng Ma (63192)

“…There was marked thyroid tissue apoptosis and a ~50% drop in serum T4 levels (from 5.86 to 2.43 ug/dl) and a corresponding increase in serum TSH (from 0.18 to 8.39 ng/dl). …”

Image_2_A Stem Cell Surge During Thyroid Regeneration.tif by Risheng Ma (63192)

“…There was marked thyroid tissue apoptosis and a ~50% drop in serum T4 levels (from 5.86 to 2.43 ug/dl) and a corresponding increase in serum TSH (from 0.18 to 8.39 ng/dl). …”

Image_1_A Stem Cell Surge During Thyroid Regeneration.tif by Risheng Ma (63192)

“…There was marked thyroid tissue apoptosis and a ~50% drop in serum T4 levels (from 5.86 to 2.43 ug/dl) and a corresponding increase in serum TSH (from 0.18 to 8.39 ng/dl). …”

Volunteer Bias in Recruitment, Retention, and Blood Sample Donation in a Randomised Controlled Trial Involving Mothers and Their Children at Six Months and Two Years: A Longitudina... by Sue Jordan (432125)

“…</p><p>Methods and Results</p><p>This paper extends the applications of the concept of volunteer bias by using data from a trial of probiotic supplementation for childhood atopy in healthy dyads to explore 1) differences between a) trial participants and aggregated data from publicly available databases b) participants and non-participants as the trial progressed 2) impact on trial findings of weighting data according to deprivation (Townsend) fifths in the sample and target populations. 1) a) Recruits (n = 454) were less deprived than the target population, matched for area of residence and delivery dates (n = 6,893) (mean [SD] deprivation scores 0.09[4.21] and 0.79[4.08], t = 3.44, df = 511, p<0.001). b) i)As the trial progressed, representation of the most deprived decreased. …”