County-level geographical septile distribution for the first 12 statistically significant factors with at least one statistically significant coefficient ranked by decreasing ΔIC. by Yanan Long (11784717)

Group-based descriptive statistics and effect sizes. by Murat Tutar (22250461)

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Types and characteristics of <i>C</i>, <i>D</i> and <i>E(y)/G(x)</i> in the research. by Guofang Tao (12368729)

GO analysis of stage-salient genes in the order of decreasing significance (i.e, increasing p–value). by Sangeetha Muthamilselvan (8966006)

“…<p>GO analysis of stage-salient genes in the order of decreasing significance (i.e, increasing p–value).</p>…”

Higher reward decreases three measures of response variability. by Zvi N. Roth (9611598)

Number of patients with a significant increase or significant decrease between the baseline measurement (SCr-BL) and the creatinine measurement at emergency department presentation... by M. S. A. Niemantsverdriet (11886431)

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.... by Emir Matpan (21655811)

“…<p>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. …”

Species richness decreases significantly with increasing percent disturbance. by Catherine L. Cardelús (6429320)

Full list of proteins significantly enriched by BioID2 labelling. by Jan Pyrih (229124)

“…Columns D to G: statistically significant enrichment of a given protein against other bait protein datasets. “-”demarks when enrichment could not be calculated (<i>e</i>.…”

Correlation between yield, soil properties and nutrient content: (a) shows the significant positive correlation between rice yield and soil properties; (b) shows the significant po... by Salwinder Singh Dhaliwal (10009480)

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Sample size estimation based on preliminary date. by Jacquelyn Y. Taylor (6386456)

Determination of the minimum inhibitory concentration of the nisin/Na-EDTA mixture against <i>E</i>. <i>coli</i>.^b'*' by Romina L. Abarca (12225493)

Flow diagram illustrating the sequence of procedures executed during one time step defined as tick, each of which represents one week. by Alexandra M. Campbell (3284094)

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<i>eIF2A</i> overexpression decreases the cell wall protein levels. by Laura Meyer (4033793)

“…<p>(A) Cells harboring pCM190 or pCM190: <i>eIF2A</i> plasmids and producing Tos1, Ccw14, Sun4 or Cln1 TAP-tagged proteins were grown in -URA medium and harvested 5 hours upon <i>eIF2A</i> overexpression (+) or not (-). …”

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

“…<p>Possible scores range from 1 (fully relaxed) to 7 (terrified). A) Cats who entered the shelter as a stray had significantly lower CSS (<i>p</i> =  0.002) than cats who were surrendered to the shelter by their caregiver. …”

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

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Comparison of the statistical significance between t-tests with C₁ = 40 and CTOT with C₁ = 32. by Wei Zhuang (146641)

“…The inset Venn diagram illustrates statistically significant differences of levels of circulating microRNAs between control and treated groups, applying the CTOT, MC, or CO method and a maximum quality cycle threshold of C₁ = 32 to the data reported by Silva et al. …”

Gut richness and diversity decrease significantly by week 5 of chemoradiotherapy. by Molly B. El Alam (10231830)

Validation of primary screen hits reveals compounds that recapitulate increased spheroid size (swell) or decreased MUC5AC in the lumen. by Pranjali Beri (14945400)

“…Compounds that appeared to cause toxicity were identified by observing a significant decrease in spheroid counts in the swell readout or a significant decrease in the total nuclear intensity of the MUC5AC ratio readout. …”

The training and validation loss of the ten-block CNN (i.e., Phase 1) with each training epoch. by Yunsu Choi (11993484)

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