Sensitivity analysis reveals the combined versus single-study data is more likely to be predictive. by Daniel A. Adler (12468970)

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True positive rate (TPR) and positive predictive value (PPV) before or at histopathology of genes and gene sets in known key events in DILI. by Anika Liu (8411805)

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Ordinal regression predictions. by Thierry Jean (20691795)

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Binary classification predictions. by Thierry Jean (20691795)

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Features with significant variance discrepancies affecting classification accuracy. by Yifan He (3986123)

Summary of the 44 features used for prediction. by Daniel A. Adler (12468970)

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Display of significance test results. by Qingchun Jiao (18388097)

“…By predicting the dynamics of the experimental process of fabric tearing performance testing in real time, this study has exploratory value in improving the experimental efficiency and optimizing the experimental process.…”

Mean muscle activation patterns across the gait cycle during walking with anteroposterior (AP) forces for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke d... by Sanne Ettema (18786312)

Definitions of treatment step classification. by Rieko Kondo (10010647)

Mean muscle activation patterns across the gait cycle during walking with Body Weight Support (BWS) for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke dur... by Sanne Ettema (18786312)

Assessing measurement model (Item loading and significant values). by Arun Kumar Tarofder (17357585)

Mean muscle activation patterns across the gait cycle during walking with mediolateral (ML) forces for <i>A)</i> able-bodied individuals and <i>B)</i> individuals after stroke duri... by Sanne Ettema (18786312)

Results of Experiment 2a, its replication Experiment 2b and, of the combined samples, Experiment 2 (significant values in bold font). by Inka Schmitz (18271664)

Comparison of training and predicted values of compound water solubility for different machine learning models: (A) AdaBoost, (B) GBDT, (C) LGBM, (D) RF, (E) XGBoost, (F) RF, and (... by Bin Pan (742525)

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Regression analysis of significant relative subitems to poor prognosis in AIS. by Yinting Xing (13924779)

<i>p</i>-values for glacial lakes. None of the <i>p</i>-values are significant. by Andrew R. Li (21301054)

Effect of step-by-step filling and compaction on the coarse aggregates. by Zhijun Liu (35566)

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Results of the step-by-step filling test on the coarse aggregates. by Zhijun Liu (35566)

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Gradation of the fine aggregates determined by step-by-step filling. by Zhijun Liu (35566)

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Training steps of the improved YOLOv4-Tiny. by Fuxing He (19555871)

“…The results show that the research trajectory prediction model achieves significant results in accurately tracking table tennis ball positions and trajectories. …”