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. …”

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

Univariable and multivariable analysis of patients who returned to the same surgeon or a different for a subsequent hand surgery after a carpal tunnel release. by Scott J. Halperin (17835402)

The ablation study presents the comparison of the coupled model and the baseline model in terms of the same evaluation metrics at the GD and ET hydrological stations. by Jintao Li (448681)

The ablation study presents the comparison of the coupled model and the baseline model in terms of the same evaluation metrics at the LHK and JP hydrological stations. by Jintao Li (448681)

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)

Results for prediction accuracy. Number of census tracts that have the same and deviated observed and predicted category for term-based predictions (term 1: before March 31, 2021,... by Fatih Gezer (21485468)

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)

Feature engineering. by Youli Jiang (15249070)

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

“…This type of monitoring often relies on the use of navigation systems such as the Automatic Identification System (AIS). AIS data has been used to support the defense teams when identifying equipment defects, locating suspicious activity, ensuring ship collision avoidance, and detecting hazardous events. …”

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

Calculation of peak force and impulse values from trial with overlap. by Leena Inkilä (20614460)

Mean conidial viability of <i>Beauveria</i> and <i>Metarhizium</i> isolates. by Aime Cheoh Enoh (20141758)

Failure mode of the sample. by Zhenhua Wang (426041)

“…Under the same confining pressure, the failure strain of soft rock decreases with the decrease of temperature. …”

Positions of AE probes and strain gauges. by Zhenhua Wang (426041)

“…Under the same confining pressure, the failure strain of soft rock decreases with the decrease of temperature. …”

Sampling site. by Zhenhua Wang (426041)

“…Under the same confining pressure, the failure strain of soft rock decreases with the decrease of temperature. …”

Received AE waves. by Zhenhua Wang (426041)

“…Under the same confining pressure, the failure strain of soft rock decreases with the decrease of temperature. …”