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)

Kolmogorov-Smirnov (KS) test for the different parameter value pairs at a 95% confidence level. We tested the null hypothesis for all parameters: The RMSEs obtained for one pair of... by Cyrine Chenaoui (22177098)

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)

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 over lattice spacings from 12 to 18 nm and plotted the new work for each condition. Bottom) We then simulated work loops over the same range, but with the stiffness of either the linear or torsional spring comprising the crossbridge head increased or decreased by 50% separately.... by Travis Carver Tune (21012349)

“…Bottom) We then simulated work loops over the same range, but with the stiffness of either the linear or torsional spring comprising the crossbridge head increased or decreased by 50% separately. …”

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)

Minimum, maximum, and mean horizontal and diagonal FID for the different species. Upper 95% confidence intervals were calculated from the mean. The minimum and maximum distances fo... by Estefania Velilla (22566709)

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)

Fair Coins Tend to Land on the Same Side They Started: Evidence from 350,757 Flips by František Bartoš (8998556)

“…Additional analyses revealed that the within-people same-side bias decreased as more coins were flipped, an effect that is consistent with the possibility that practice makes people flip coins in a less wobbly fashion. …”

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)

S1 File - by Ahmed Akib Jawad Karim (20427740)

“…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”