Displacement cloud maps. by Maogang Tian (21485116)

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

Displacement cloud map (geology). by Hui Cheng (195456)

“…The primary trend indicates an increase in clay content of loess, a decrease in grit content, a relative increase in cohesion, and a relative decrease in the internal friction angle. …”

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

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GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

Point cloud fusion instance effect. by Hongliang Zou (20707270)

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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…”

Positioning trajectories and pose truths of different simultaneous localization and mapping algorithms under Sequence 1. by Hongliang Zou (20707270)

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Positioning trajectories and pose truths of different simultaneous localization and mapping algorithms under Sequence 6. by Hongliang Zou (20707270)

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Positioning trajectories and pose truths of different simultaneous localization and mapping algorithms under Sequence 5. by Hongliang Zou (20707270)

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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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Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

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. …”

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

“…After ChatGPT-4.5 was publicly released, reliability decreased notably (e.g. ICC = −0.046 for BVMT-R Trial 3), and average scoring discrepancies per test increased (e.g. …”

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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Differential miRNA target gene pathway enrichment bubble map. by Zhaowen Tan (12283502)

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