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. …”

Process map (top) and Fault tree (bottom) produced from three failure modes in Table 6. by Mohammad Bakhtiari (11838264)

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

Map of the 20 study orchards. by Carmelo Gómez-Martínez (9384385)

Elevation map defining directions where mucus can be transported. by Monica E. Shapiro (22622240)

National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Hawaii by U.S. Forest Service (17476914)

National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Southeast Alaska by U.S. Forest Service (17476914)

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)

National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Puerto Rico USVI by U.S. Forest Service (17476914)

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)

Heat map of intestinal microbiota from healthy and diseased shrimp at the genus level. by Lalitphan Kitsanayanyong (19353505)

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)

Bioclimatic variables used for MaxEnt modeling. by Dong-Joo Kim (1797640)

“…Landscape tree also have specific climatic ranges and environmental requirements, making them susceptible to climate change. …”

Supplementary file 1_Spatiotemporal monitoring in beidagang wetland using Landsat time-series images and Google Earth Engine during 2000–2022.docx by Xinyue Zhang (271120)

“…Therefore, we developed a Decision Tree (DT)-based classification method, incorporating water frequency (WF) and vegetation frequency (VF) calibrated with field observations, to monitor wetland dynamics using Landsat-5/7/8/9 time-series images (2000–2022) and Google Earth Engine (GEE). …”

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