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. …”

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. …”

Histogram of number of drugs with (a) increased and (b) decreased usage within 12 months. by Nguyen Thach (20347852)

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

“…<p>This study explores the use of pre-trained language models (PLMs) in tracking priming treatment induced language recovery in aphasia. …”

Effective contact rate over time for the different modelling scenarios considered: fixed, continuously increasing, continuously decreasing and with a step-decrease. by Joshua Looker (21390948)

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

“…<p>This study explores the use of pre-trained language models (PLMs) in tracking priming treatment induced language recovery in aphasia. …”

Modeling results of 8-week-old female C57BL/6J mice. by Yan She (8639796)

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Overview of the parameters used in the model. by Albertus Constantijn Sloof (20405090)

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

Histograms of the extent of the (a) increase and (b) decrease by the difference in categorical usage within 12 months for all drugs. by Nguyen Thach (20347852)

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)

Presents the bibliometric search results. by Yan She (8639796)

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S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

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Sexual maturity status of female C57BL/6J Mice at different ages. by Yan She (8639796)

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Flow chart of data screening and analysis. by Yan She (8639796)

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Feature engineering. by Youli Jiang (15249070)

“…<p>(A) Original sample visualization using t-SNE shows an imbalanced outcome. (B) Random undersampling addresses imbalanced data by decreasing the majority class. …”

Modeling method used. by Claire Teillet (18986264)

“…Species distribution models (SDMs) were built, their predictive accuracy was evaluated, and an ensemble model was created to predict larval presence across the study area. …”

Rspo3 decreases c-fos IF intensity in rRPa. by Kenji Uno (548200)

Noise decrease rate comparison. by Xianlin Ren (22783589)