Arctigenin decreased proliferation in colorectal cancer cells with no significant effect on normal cells. by Xiang-Fan Chen (13932983)

Significant condition. by Junxia Zhou (14381598)

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Supplementary Material for: Longitudinal Decrease in Left Ventricular Size with Age: Impact on Mortality and Cardiovascular Hospitalization by figshare admin karger (2628495)

“…Background: A small left ventricular (LV) chamber size may reflect adverse cardiac remodeling and have prognostic implications. …”

Results of significance for regression factors. by Junxia Zhou (14381598)

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Introgression decreases allelic shuffling. by Enrique J. Schwarzkopf (6579275)

Analysis of Significantly Different Bacteria. by Xu Jia (187142)

Why does task performance decrease with burst length? by Swathi Anil (17382903)

Variation of the most appropriate p value significance threshold with different ratios of the standard deviations and sample sizes. by Farrokh Habibzadeh (12256529)

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Particle size distribution of GO-GA NPs. by Huda H. Elbehery (22492996)

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Madrasin decreases transcription of protein-coding genes. by Michael Tellier (8284752)

The variables that significantly predicted litter clump weight in shelter cats. by Allison Andrukonis (11846404)

Significant repeated measurements sEMG outcomes. by María Benito-de-Pedro (22057468)

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Significant single measurement sEMG outcomes. by María Benito-de-Pedro (22057468)

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Particle size distribution, PDI, and zeta potential of GO-GA NPs. by Huda H. Elbehery (22492996)

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Soil partice-size distribution. by Yonggang Huang (223155)

“…The swelling pressure of reinforced expansive soil exhibits a significant negative correlation with both the UHMWPE content (<i>p</i> < 0.05) and its length. …”

The spike-in of synthetic hsa-lest-7a-5p miRNA decreases the Ct Values of extracted small RNA samples. by Marc Van Der Hofstadt (1423027)

Cat Stress Score (CSS) was significantly predicted by intake type and days in the study. by Allison Andrukonis (11846404)

Pore size distribution of different sandstone. by Dong Feng (5375471)

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Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA. Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease. by Emir Matpan (21655811)

“…Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease.…”

Each subfigure shows a different local size (LS) and context size (CS) configuration, where the reliability of the model across different initializations is measured in R-squared. by Eloy Geenjaar (21533195)

“…<p>In most cases where both the local size and context size is small, the DSVAE model is significantly more reliable than the IDSVAE method. …”