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. …”

The experimental set-up we used. by Hillary Jean-Joseph (9676166)

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)

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. …”

An illustration for the lineages identification procedure. Left panel: Each leaf represents a cell, characterized by its measured set of barcodes, denoted as . Each individual barc... by Nava Leibovich (12908477)

iKIR score decreases protection associated with protective class II genotypes in T1D. by Laura Mora-Bitria (20477525)

The update step size of the attractor set in different regions. by Long Di (9977453)

Supporting data for the paper "<b>The physiological cost of being hot: high thermal stress and disturbance decrease energy reserves in dragonflies in the wild</b>" by Alex Córdoba-Aguilar (10011050)

This is the data set that we used to reach the conclusions drawn in the manuscript with related metadata and methods. by Farayi Kaseke (19560197)

Female regression coefficients for regression #3 across development in set size = 2 and set size = 4. by Juliana Chase (20469427)

“…All statistics are done identically and are reported in the text. There was a slight decrease in the regression coefficient weight of intercept for set size = 2 (A), but not set size = 4 (F). …”

Effect of session on winning model parameters for set size = 2 and set size = 4 for both male and females. by Juliana Chase (20469427)

“…Since set size = 2 and set size = 4 days were interspersed, we combined set size data and analyzed sessions chronologically. …”

Data Set. by Yang Li (7082)

Parameter sets generated through Latin hypercube sampling. by Alexandra M. Campbell (3284094)

Strategy parameters across development for female mice in set size = 2 and set size = 4 from winning computational model. by Juliana Chase (20469427)

“…However, female mice had a significant decrease in parameter S1 “Inappropriate Lose-Shift” in set size = 4 (H: <i>p</i> = 0.04) with a trend in a similar direction in set size = 2 (C: <i>p</i> = 0.08).…”

Overview of the WeARTolerance program. by Ana Beato (20489933)

“…Arts-based interventions have shown promise in addressing stigma, yet comprehensive longitudinal studies in community settings are limited. This research evaluates the "WeARTolerance’’ arts-based program in reducing mental health stigma among diverse youths. …”

Strategy parameters across development for male mice in set size = 2 and set size = 4 from winning computational model. by Juliana Chase (20469427)

“…RL parameter <i>α</i>₊ learning rate and decision noise parameter softmax <i>β</i> were stable across development in both set size = 2 (A-B) and set size = 4 (F-G). Both parameters S1 “Inappropriate Lose-Shift” and S3 “Inappropriate Lose-Stay” decreased significantly with age in set size = 2 (C: <i>p</i> = 0.02, E: <i>p</i> = 0.04), but not in set size = 4 (H,J). …”

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

“…We found that surprisal scores decreased following structural priming treatment, especially in participants with more severe sentence production impairments. …”

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

“…We found that surprisal scores decreased following structural priming treatment, especially in participants with more severe sentence production impairments. …”

Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals by Elizabeth E. Happel (22391811)

“…Density functional theory (DFT) is often used to support XPS peak assignments, but its reliability for predicting oxygen species is not well established. Here, we compile a large data set of experimental oxygen binding energies and evaluate corresponding DFT predictions. …”

Benchmarking DFT Accuracy in Predicting O 1s Binding Energies on Metals by Elizabeth E. Happel (22391811)

“…Density functional theory (DFT) is often used to support XPS peak assignments, but its reliability for predicting oxygen species is not well established. Here, we compile a large data set of experimental oxygen binding energies and evaluate corresponding DFT predictions. …”