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)

Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.... by Indrani Bera (804948)

Average % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01,... by Indrani Bera (804948)

Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.... by Indrani Bera (804948)

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

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”

AI KRegression by CHIN-CHENG CHU (20718575)

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)

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)

S1 Figure. The Conserved Domain of GCN2. The predicted Conserved Domain marked with black line, RWD–GCN2 (7-126): RWD domain of eIF-2-alpha kinase GCN2 and related proteins. PKC–li... by Caihong Zhang (1633294)

Example of coloration measurement taken in ImageJ for <i>M</i>. <i>mercenaria</i> specimen w48 at the conclusion of the 20.5-week experiment. by Teagan McMahon (20108036)

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The proportional change in maximum height for the five study groups. by Teagan McMahon (20108036)

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Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> proportional... by Teagan McMahon (20108036)

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Subset of juvenile <i>M</i>. <i>arenaria</i> specimens at the end of the experiment. by Teagan McMahon (20108036)

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Fig 6 - by Teagan McMahon (20108036)

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Growth and color data for all specimens and tank temperature and pH conditions. by Teagan McMahon (20108036)

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Schematic of the experimental design of the pH and temperature-controlled culture experiment in Schiller Coastal Studies Center (SCSC; Bowdoin College, Orr’s Island, ME). by Teagan McMahon (20108036)

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