The ROC curves and AUC values of the diagnostic model. by Zhe Wu (582498)

ROC curve and AUC value of all models. by Tiago de Oliveira Barreto (20485207)

“…After that, blank and inconclusive data were removed, as well as the outcomes that had values other than discharge and death, rendering a binary classification. …”

Area under the curve (AUC) for external validation performance. by Junichi Kushioka (12236447)

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Colored Gold Ions Enabled High-Transparent and Low-Haze Cellulose Films with Excellent Flame-Retardant and UV to Blue Light-Blocking Performance by Qiu Fu (10830823)

Subjects:

Colored Gold Ions Enabled High-Transparent and Low-Haze Cellulose Films with Excellent Flame-Retardant and UV to Blue Light-Blocking Performance by Qiu Fu (10830823)

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Colored Gold Ions Enabled High-Transparent and Low-Haze Cellulose Films with Excellent Flame-Retardant and UV to Blue Light-Blocking Performance by Qiu Fu (10830823)

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Colored Gold Ions Enabled High-Transparent and Low-Haze Cellulose Films with Excellent Flame-Retardant and UV to Blue Light-Blocking Performance by Qiu Fu (10830823)

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Wnt signaling decreases the recruitment of RAB8a to basal bodies. by Cheng Yuan (160315)

AUC of various models to predict imeglimin efficacy for liver function evaluated by ROC curves. by Naruyoshi Gyoutoku (22537831)

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Column charts of WiAUC in therapy and control group at baseline and follow-up. by Felix L. Herr (21544362)

Area under the ROC Curve (AUC) analysis to predict AIS conversion at 6-months and 1-year following acute cervical tSCI. by Harshit Arora (22008280)

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Area under the ROC curve (AUC) analysis to predict neurological severity at 6-months and 1-year following acute cervical tSCI. by Harshit Arora (22008280)

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TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

Feature importance and beeswarm plot determined by mean absolute SHAP values for the DeepSurv model. by Theophilus Gyedu Baidoo (21162511)

“…<p>(A) A comprehensive view of the influence each variable has on model predictions, with N Stage Status ranked on top (B) Bar plot of mean absolute SHAP values by decreasing order of importance</p>…”

Analysis of tea output value distribution and growth- decrease rate of provinces. by Kun Qin (177235)

Daily number of adverse outcomes (bars) and area under the precision-recall curve (AUC-PRC) per day of the fullPIERS model. by Guiyou Yang (10259597)

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Daily number of adverse outcomes (bars) and area under the precision-recall curve (AUC-PRC) per day of the PIERS-ML model. by Guiyou Yang (10259597)

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Feature importance and beeswarm plot determined by mean absolute SHAP values for the random survival forest (RSF) model. by Theophilus Gyedu Baidoo (21162511)

“…(B) Bar plot of mean absolute SHAP values by decreasing order of importance.</p>…”

Downregulation of <i>TcPiezo1</i> expression decreases Ca²⁺ entry in <i>T. cruzi.</i> by Guozhong Huang (673424)

“…In panels A-D, addition of buffer A with glucose (BAG), instead of 1.8 mM Ca²⁺, was used as a control baseline labeled with B. Values are means ± s.d. (n = 3). One-way ANOVA with multiple comparisons (*<i>P</i> < 0.05, **<i>P</i> < 0.01, ***<i>P</i> < 0.001).…”

Missing value percentage for variables. by Xin Liu (43569)