Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

Decreasing oxygen saturation with corresponding levels of NLR and D-dimer for understanding the interplay of inflammation. by Narendran Gopalan (110148)

Biases in larger populations. by Sander W. Keemink (21253563)

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. Bias decreases with increasing neurons in the population. …”

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

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

Subjects: “…significantly higher decrease…”

ROC Curve for the Best Model (AUC = 0.92). by Mudhafar Jalil Jassim Ghrabat (22177655)

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<i>Toxoplasma gondii</i> chronic infection decreases visceral nociceptive responses in the absence of macroscopic colonic inflammation. by Alexis Audibert (21213531)

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

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Increase in AUC, MCC, and F1 between oversampling and undersampling. by Seongil Han (20490232)

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<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

“…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …”

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

Subjects: “…levels significantly decreased…”

Performance comparison of AUC, MCC, and F1 across different IR on GMSC dataset. by Seongil Han (20490232)

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Statins resulted in smaller neuronal soma size. by Shuk C. Tsoi (21192243)

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The AUCs of the GSRS and the established models in predicting the 1-, 2-, 3-, 4-, and 5-year OS in the TCGA-KIRC cohort. by Yu Zhang (12946)

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AUC ROC curve. by Dieuwke Luijten (15282736)

“…</p><p>Results</p><p>During follow-up, 28 patients had residual PH (42%). A decrease in VG-RVPO after PEA was associated with decrease in mPAP or indexed RV mass post PEA (r = 0.55, p < 0.05 and r = 0.64, p < 0.05, respectively). …”

Presentation 1_Ceftriaxone-associated dysbiosis decreases voriconazole bioavailability by upregulating intestinal P-glycoprotein expression through activation of the Nrf2-mediated signalling pathway.pptx by Xiaokang Wang (733379)

“…</p>Key findings<p>The diversity and richness of intestinal bacteria, especially the abundance of gram-negative bacteria, were significantly decreased after ceftriaxone treatment. The AUC(0-t) and C_max of voriconazole were reduced, and greater voriconazole clearance were noted in the dysbiotic group. …”

Table 1_Ceftriaxone-associated dysbiosis decreases voriconazole bioavailability by upregulating intestinal P-glycoprotein expression through activation of the Nrf2-mediated signalling pathway.docx by Xiaokang Wang (733379)

“…</p>Key findings<p>The diversity and richness of intestinal bacteria, especially the abundance of gram-negative bacteria, were significantly decreased after ceftriaxone treatment. The AUC(0-t) and C_max of voriconazole were reduced, and greater voriconazole clearance were noted in the dysbiotic group. …”

Performance comparison of machine learning models across accuracy, AUC, MCC, and F1 score on GMSC dataset. by Seongil Han (20490232)

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Performance comparison of machine learning models across accuracy, AUC, MCC, and F1 score on GMSC dataset. by Seongil Han (20490232)

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Model assessment showing the AUC outcomes based on historical and projected bioclimatic variables (Esri ArcGIS Pro 2024). by Khalifa M. Al-Kindi (3719854)

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