Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…</p>Results<p>We generated and evaluated a corpus of 19,800 social media posts on public health topics to assess the disinformation generation capabilities of OpenAI’s LLMs, including davinci-002, davinci-003, gpt-3.5-turbo, and gpt-4. …”

Significant Decrease in Vessel Count of Trade Vessels in (a) Bosporus Strait and (b) Bab el-Mandeb Strait. by Cherryl Chico (20978829)

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

Interaction plot with 95% confidence intervals generated from the GAM regression model 1 in Table 2 examining initial ED SBP and management group interactions. by Randeep S. Jawa (20489181)

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)

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)

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

“…We also introduce a prompting-based pipeline for clinical classification tasks. …”

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

“…We also introduce a prompting-based pipeline for clinical classification tasks. …”

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”

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

“…The intervention combined self-genrated content with AI-assisted editing, guided by a visual flow char and structured prompts. …”

Feature engineering. by Youli Jiang (15249070)

Impact of A.I feedback on student and qualified diagnostic radiographers’ diagnostic accuracy. by Clare Rainey (11677747)

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

Development of Potent and Selective Dual PPARδ/sEH Modulators from an AI-Designed Scaffold by Xiu Ge (13802019)

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

A graphical representation incorporating ISS range with splenic injury severity, management strategy, and number of patients. by Randeep S. Jawa (20489181)

Interaction plots for probability of in-hospital death by management group and spleen severity in patients (n = 7210) with AIS≤ = 2 in head/neck, face, chest, extremity, and extern... by Randeep S. Jawa (20489181)

Raw data demonstrating a bimodal association of initial ED SBP range with weighted mortality for all patients (n = = 41187) by management group, whereby higher mortality is noted a... by Randeep S. Jawa (20489181)

AI driven topic clustering and trend analysis workflow. by Min Ho An (7894658)

Readability scores for Chatgpt-4o, Gemini, and Perplexity responses to the most frequently asked Ankylosing spondylitis -related questions, and a statistical comparison of the text... by Mete Kara (21568148)