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)

Flowchart for teaching and learning implementation of the 2D aesthetic program cluster in rural schools. by Zhankun Han (20529082)

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. …”

Characteristics of the studies. by Mairena Sánchez-López (684092)

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PRISMA flow chart of the study selection process. by Mairena Sánchez-López (684092)

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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)

Word cloud with key elements of an Active Learning Classroom. by Mairena Sánchez-López (684092)

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Predicting Dinitrogen Activation and Coupling with Carbon Dioxide and Other Small Molecules by Methyleneborane: A Combined DFT and Machine Learning Study by Feiying You (22119041)

“…Here, we predict through density functional theory calculations that the coupling of dinitrogen with carbon dioxide by methyleneborane becomes favorable both thermodynamically and kinetically. Machine learning analysis suggests that increasing the HOMO–LUMO gap or the charge on the boron atom or decreasing the charge of the nitrogen atom will reduce the reaction energies. …”

Ordinal regression predictions. by Thierry Jean (20691795)

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Binary classification predictions. by Thierry Jean (20691795)

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Relationship between ordinal regression and binary classification performance. by Thierry Jean (20691795)

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Label distributions across mental states and dataset splits. by Thierry Jean (20691795)

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Binary classification task performance. by Thierry Jean (20691795)

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Ordinal regression task performance. by Thierry Jean (20691795)

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Passive sensing data. by Thierry Jean (20691795)

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Surveys. by Thierry Jean (20691795)

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