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. …”

<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. …”

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

“…The sharper the probability distribution <i>p</i>_<i>n</i> (the higher the <i>n</i>), the sharper is the increase in the infection peak max_<i>t</i>(<i>i</i>(<i>t</i>)) with expected vaccination time. …”

Feature importance of the extracted characteristics from the simulation using Mean Decrease in Impurity (MDI). by Simon Bin Akter (17951860)

Mean squared error of estimates decreases with larger datasets. by Alexander Eugene Zarebski (12078347)

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

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

Number of cases found via active case finding (ACF) and passive case finding (PCF) in the IMPACT TB implementation districts in Nepal and Vietnam. by Diepreye Victoria Ayabina (11719488)

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Percentage increase required in τ to reduce R₀ to 1 between 2017 and 2020 for Vietnam and Nepal. by Diepreye Victoria Ayabina (11719488)

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Summary of effect sizes including imported cases from districts. by Katharina Ledebur (11781928)

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Population infected in case of increase in susceptibility. by Juliano Genari (13794299)

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The 452 registrations of the 750 feature vectors after dimension reduction using the AI algorithm autoencoder, the 6 clusters obtained with the DBSCAN clustering algorithm are colo... by Gerhard Fritsch (405224)

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The two mechanisms of increase. by Jakub Köry (17980273)

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Increase Learning Agility through Unsolvable Cases by Siti Noorbaiyah Binti Abdul Malek (9589485)

“…The case studies focused not only on the concepts surrounding law and regulations but were also purposefully designed to increase their learning agility to be discerning and critical about information. …”

In superadditive networks, more enhancers decrease noise and fidelity. by Alvaro Fletcher (15675430)

“…Meanwhile <i>d</i>₁, the rate of increase for <i>k</i>_on, was chosen to be 0.01 for both <i>T</i>₁ and <i>T</i>₂ (B) Unlike in the subadditive case, enhancer numbers decrease transcriptional fidelity and also decrease noise. …”

Required increase/scale-up of control efforts to meet the targets; scenario 1: Yearly percentage increase in τ to reduce R₀ to 1 by 2035 and scenario 2: Scale up in decl... by Diepreye Victoria Ayabina (11719488)

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Increased and decreased proteins. by Diego Iacono (10785756)

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Observed decreases in capacity. by Robert L. Burdett (17364685)

Large prairie patches. by Megan P. Vhay (18707751)