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. …”

Underlying data for the main figures. by Tamjid A. Chowdhury (14149846)

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

The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

Net work vs phase of activation and lattice spacing. Top) We simulated work loops in the half sarcomere model at phases of activation of 0 to 0.95 in 0.05 increments, as well as ov... by Travis Carver Tune (21012349)

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)

Main results and moderating effects. by Hao Wang (39217)

The main notations used in this paper. by Bin Zhao (276445)

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)

Main results for different types of CSR. by Hao Wang (39217)

Raw data for main and supplemental figures by Runhua Han (20455670)

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)

The <i>constant, dense sampling</i> analog to Fig 1 in the main text. by Vivaswat Shastry (18176036)

Inpatient postpartum contraception provision among individuals with opioid use disorder in Maine, 2016–2023 by Catherine Gelsinger (15391022)

“…</p> <p>We used diagnosis codes recorded in hospital discharge data to identify deliveries with and without OUD in Maine during 2016–2023. …”

Supplementary Material for: Kidney and cardiovascular outcomes in older population with mildly to moderately decreased kidney function - A nationwide cohort study by Jeon J. (10323467)

“…Introduction: Although the prevalence of chronic kidney disease (CKD) is increasing in the aging population, the clinical relevance of the CKD definition (glomerular filtration rate [GFR] < 60 ml/min/1.73 m2) in older populations remains debatable. We investigated the clinical outcomes in older populations with mildly to moderately decreased GFR (45–59 ml/min/1.73 m2, CKD stage 3A). …”