Linear trend test of serum ferritin in four cox proportional hazard models. by Wenyan Xiao (2737087)

Subjects:

General linear model (GLM) for anxiety with repeated measures and estimated means. by Franziska Kremer (14691690)

Pre-RT and post RT D-dimer levels in associated with prognostic significance. by Huriye Senay Kiziltan (22298378)

Subjects:

Results of linear effects models examining the Swift effect on Travis Kelce’s performance. by James M. Smoliga (9074225)

Increased or reduced ATGL-1 activity does not significantly change <i>N. parisii</i> growth. by Hala Tamim El Jarkass (16625309)

Subjects:

Significant Wilcoxon test results of the Task 1 Nasa TLX data, differences between feedback ON and OFF. by Mucahit Gemici (21519313)

Effect of 1.25% of SCFP on MDR <i>Salmonella</i> serovars reduction at 24h. by Elena G. Olson (10649705)

Subjects:

Scatter plot for linearity. by Diana Abudu-Birresborn (15219622)

“…There was no significant association between students’ gerontology knowledge and self-efficacy. …”

Gas-Phase Molecular Structure of 1‑Chlorosilatrane: Electron Diffraction Study and Assignment of Photoelectron Spectrum by Elena F. Belogolova (2025418)

Subjects:

Gas-Phase Molecular Structure of 1‑Chlorosilatrane: Electron Diffraction Study and Assignment of Photoelectron Spectrum by Elena F. Belogolova (2025418)

Subjects:

Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for brown non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

“…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo non-trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”

Linear regression model summary and ANOVA results. by Athkar Alawneh (22793718)

Non-linear associations between serum manganese with chronic kidney disease: results from two nationwide studies in the United States and China by Jiliang Zhang (1500367)

“…The non-linear associations revealed that the OR values of CKD were decreased with Mn before reaching the threshold (OR = 0.65 per 1 μg/L increase of Mn in NHANES and 0.98 in CLHLS). …”

Log2 fold change (FC) of the overlaps of lipid metabolites between the study groups and those significant metabolites that appear exclusively in a single group (unique) represented... by Laia Bertran (3685147)

Pan-cancer analyses of ACADM expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

Subjects:

Linear trends estimated through the diff-in-diff regression models in the most hit area (group A) and in the control group of municipalities (group B). by Chiara Cadeddu (12554994)

Linear trends estimated through the diff-in-diff regression models in the most hit area (group A) and in the control group of municipalities (group B). by Chiara Cadeddu (12554994)

Linear trends estimated through the diff-in-diff regression models in the most hit area (group A) and in the control group of municipalities (group B). by Chiara Cadeddu (12554994)

Linear trends estimated through the diff-in-diff regression models in the most hit area (group A) and in the control group of municipalities (group B). by Chiara Cadeddu (12554994)