The joint significance of different subsets. by Jiaqing Luo (10975030)

The joint significance of clinical characteristics. by Jiaqing Luo (10975030)

Catalytic fold of WT PARG1 C1-GAP domain for RhoA interaction. by Zen Kouchi (14898435)

Validation and predictive accuracy of the cerebrovascular model, by Hadi Esfandi (21387211)

“…<p>(a-f) dependency of blood flow in capillaries on the cortical depth and ABNP values: (a) mean and standard deviation of blood flow in Cap1 segments for various ABNP values, (b) layer-specific average blood flow in capillaries across the entire monophasic flat autoregulation range, (c) indicates that the superficial layers have a more nonuniform hemodynamic distribution in capillaries, (d) mean capillary blood flow across different vascular layers at physiological ABNP values (50-70 mmHg), (e) WT changes in superficial PA segments are more significant than in deeper segments across the autoregulation range. …”

Residual stress results of the finite element model: (a) comparison between surface residual stress and test values; (b) distribution along the depth direction. by Huashen Guan (20454677)

Top 20 significant predictor variables. by Lathan Liou (9617718)

Significance check of forecast of models on banana price in Gujarat. by Prity Kumari (16378803)

SMOTE increases sensitivity, positive predictive value, but reduces specificity and increases mean absolute error. by Daniel A. Adler (12468970)

Subjects:

Nasal microbiota features significantly associate with the presence of clinical signs. by Holly Kristin Arnold (14204655)

Gut microbiota features significantly associate with the presence of clinical signs. by Holly Kristin Arnold (14204655)

PLB is a target gene of miRNA 221. by Hongyu Li (1332669)

Aripiprazole significantly decreases phosphorylated Src (Y416) levels in dHL-60 cells. by Courtney A. Swain (15170264)

Summary of structural dynamics of WT and mutant RhoGAPs-RhoA complexes. by Zen Kouchi (14898435)

Uncovering the association between distributional distance (ΔPAD) and model performance (ΔMAE). by Daniel A. Adler (12468970)

Subjects:

Model fit for Mixed-Effects Multi-linear Regressions with PSS-Moderate (PSS> = 14) as a binary outcome measure. by Laura S. P. Bloomfield (3820531)

Subjects:

The significant difference between DGNN-DDI and other models in terms of predicted scores. by Mei Ma (2271595)

“…<p>The significant difference between DGNN-DDI and other models in terms of predicted scores.…”

Machine learning models and univariate analyses discriminating severe and critical COVID-19 patients. by Gamalat A. Elgedawy (18700038)

“…<p><b>A.</b> Proximity plot of the RF model discriminating sever from critical COVID-19 patients. …”

Eight urinary metabolites exhibited significant changes in the MSG-treated groups at week 12, and MSG-withdrawal group at weeks 0, 4, 8, 10, and 12. by Manatsaphon Sukmak (19532771)

“…In contrast, three metabolites including methylamine (E), N-methyl-4-pyridone-3-carboxamide (F), and taurine (H) showed significant decreased after MSG consumption and elevated after MSG withdrawal. …”

Vibriocidal activities were significantly decreased by depletion of IgM in serum. by Jae Seung Yang (701319)

Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone. by O’Llenecia S. Walker (8486163)