Machine Learning Model Performance Sorted by Decreasing MAE. by Renan N. D. Almeida (9265283)

Data Sheet 1_Significance of SUMOylation in breast cancer progression: a comprehensive investigation using single-cell analysis and bioinformatics.docx by Wenxing He (10829169)

Predictors for progression of vascular calcification. by Hiroki Okabe (14425179)

Predictors of progression of lipid plaques. by Hiroki Okabe (14425179)

Significant main effect of housing type. by Grace Hecker (18813445)

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Significant interactions and main effects of day. by Grace Hecker (18813445)

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Prioritising public information leads to an overall decrease in cooperation occurring in networks. by Adam Lee Miles (14123916)

Summary of significant treatment × time effect. by Wensheng Xiao (16557866)

Comorbidities significantly associated with mortality in the IPAF cohort. by Elena K. Joerns (20670841)

A list of genome-wide significant SNPs and their genomic coordinates. by Matthew Blades (763745)

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Variations in the mean force coefficients. by Shantanu S. Bhat (5446082)

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The disease progression model used in the agent-based simulation. by Sargun Nagpal (12372367)

Progression free survival using Kaplan-Meier method. by Marie Y. Detrait (19775535)

Multivariate regression analysis to explain the decrease in visibility and palpability. by Miharu Matsumoto (21304390)

Effect of LMWH on hematoma progression. by Haizheng Li (3879664)

“…According to our findings, early low-dose LMWH, prophylaxis for VTE, was related to the markedly reduced deep vein thrombosis (DVT) (3.6% vs. 17.5%; RR, 0.25; 95% CI, 0.18–0.35; p-value<0.00001) and pulmonary embolism (PE) (0.4% vs. 3.2%; RR, 0.29; 95% CI, 0.14–0.57; p-value = 0.003), while the non-significantly increased hematoma progression (3.8% vs. 3.4%; RR, 1.06; 95% CI, 0.68–1.68; p-value = 0.79) and gastrointestinal bleeding (3.6% vs. 6.1%; RR, 0.63; 95% CI, 0.31–1.28; p-value = 0.20). …”

Mean <i>d’</i> during the SSDT before (Pre) and after (Post) receiving the touch manipulation in the CT optimal and non-CT optimal group. by Sofia Sacchetti (9647845)

CFU-Mk is significantly decreased by GATA1s overexpression in <i>GATA1s</i> strains. by Shiori Matsuo (10492159)

Comparing demographic data (mean values). by Tamer Shousha (10960632)

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Experimental progress. by Ban Li (22311399)

Prediction of COVID-19 progression in Xiamen using the SEIR model. by Peng Wang (34436)