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. …”

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)

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. …”

Inherently interpretable deep learning framework highlights clinically relevant image regions. by Kerol Djoumessi (21349992)

Decrease in loss during the training process. by Muhammad Idrees (92773)

Loss of MAP4K4 expression causes a decrease in the number of neutrophils. by Guihua Wang (286390)

Data Sheet 1_Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned.pdf by Marketa Ciharova (8991782)

“…Stress monitoring may be supported by valid and reliable machine-learning algorithms. However, investigation of algorithms detecting stress severity on a continuous scale is missing due to high demands on data quality for such analyses. …”

<b>IMPACT OF MULTIVITAMINS AND PROCESSED MEAT ON AGING: A MACHINE LEARNING APPROACH</b> by Mohcene M. (20142864)

“…</p><p dir="ltr">We developed a machine learning pipeline that generates the “Biological Aging Index” using data from the Canadian Longitudinal Study on Aging (CLSA). …”

Supplementary file 1_Harnessing AI for aphasia: a case report on ChatGPT's role in supporting written expression.docx by Avery K. Allen (21449492)

“…While writing aids show promise, artificial intelligence (AI) tools, such as large language models (LLMs), offer new opportunities for individuals with language-based writing challenges.…”

DataSheet1_Predicting temporomandibular disorders in adults using interpretable machine learning methods: a model development and validation study.pdf by Yuchen Cui (5896310)

“…Introduction<p>Temporomandibular disorders (TMD) have a high prevalence and complex etiology. The purpose of this study was to apply a machine learning (ML) approach to identify risk factors for the occurrence of TMD in adults and to develop and validate an interpretable predictive model for the risk of TMD in adults.…”

The motor torque curves of load increase/decrease (A) the load of 10 N • m (B) the load of 20 N • m. by Taochang Li (20642935)

The motor speed curves of load increase/decrease (A) the load of 10 N • m (B) the load of 20 N • m. by Taochang Li (20642935)

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

Comparison of Mean Absolute Error (MAE) in Millimeters as a Function of Kernel Size. by Liu Liu (512237)

Salt chemotaxis learning assay. by Masahiro Tomioka (430683)

Learn!Bio study: Grouping of Participants. by Katy Andrews (22311170)

“…This study aimed to evaluate bioscience students’ ability to adjust to a fast-evolving learning environment and to capture students’ journey building up resilience and graduate attributes. …”

Accuracy of multiple classifiers with a deep-learning-based feature set by Afira Aslam (21433666)

Feature engineering. by Youli Jiang (15249070)

Social change: No decrease in singing rate upon first-time social isolation in the same environment. by Anja T. Zai (9225852)