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. …”

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

“…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”

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

ROC curves and the corresponding AUC values. by Salih Furkan Atici (12988243)

<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. …”

Feature engineering. by Youli Jiang (15249070)

Performance and AUC values for individual antigens in the Luminex-bTB immunoassay. by Charlotte Moens (17118225)

Scatterplot of the mean cross-validated AUC (AUC-cv) and the maximum dispersal distance for the six amphibian species tested. by Damian O. Ortiz-Rodríguez (17343308)

AUC-ROC and AUPR values of different methods. by Shayan Majidifar (19541065)

“…<p>The x-axis displays P-to-N sampling ratios while the y-axis represents AUC-ROC and AUPR values for the left and right plots. …”

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

“…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …”

ROC test curves and AUC values for each variable on the distribution of permafrost in TG. by Ying Guo (53523)

STAT6-driven immunity decreases <i>N</i>. <i>brasiliensis</i> reproductive output and survival within host. by Annabel A. Ferguson (17616286)

The number of expected vaccinations decreases with the expected vaccination time, whereas the peak of infections increases. by Simon K. Schnyder (16632244)

“…Brighter colours indicate higher 〈<i>s</i>(<i>t</i>_<i>v</i>)〉. Note the nonlinear increase of <i>n</i> on the y-axis. C) Relatedly, we show the peak of infections max_<i>t</i>(<i>i</i>(<i>t</i>)) as a heat map as function of the expected vaccination time 〈<i>t</i>_<i>v</i>〉 for the same range of vaccine arrival distributions <i>p</i>_<i>n</i> as in B). …”

Scatterplot of mean cross-validated AUC (AUC-cv) and the maximum dispersal distance for the six amphibian species tested, with linear regression trendlines. by Damian O. Ortiz-Rodríguez (17343308)

Scatterplot of the mean cross-validated AUC (AUC-cv) and the (log transformed) number of components of habitat networks for six amphibian species (colors), with linear trendlines. by Damian O. Ortiz-Rodríguez (17343308)

Scatterplot of mean cross-validated AUC (AUC-cv) and the mean number of regression trees used in the boosted regression trees (BRT) models, grouped by species, with trendlines. by Damian O. Ortiz-Rodríguez (17343308)

Computed values of density and viscosity of buffers. by Eunhee Lee (804130)

Increased growth of Mtb-LT strains in macrophages is linked to increased lipid droplet accumulation. by Sheetal Verma (5225192)

The area under the curve (AUC) of fractional value vs. cumulative threshold of Koklass habitat for Maxent model. by Badrulislam (17972968)

Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)