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. …”

Details of the GWAS data in this study. by Jing Wang (6206297)

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Three essential assumptions of the Mendelian randomization study. by Jing Wang (6206297)

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Results data from this Mendelian randomization study. by Jing Wang (6206297)

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Flowchart of patient selection in this study. by Kazuyoshi Ohkawa (836847)

“…In addition, the mean aspartate aminotransferase-to-platelet ratio index (APRI) decreased during letrozole treatment; the values at 18 and 24 months were significantly lower than those at baseline (p = 0.024 and p = 0.026). …”

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

Original study data. by Junyin Pan (20700411)

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The basic characteristics of the included studies. by Junyin Pan (20700411)

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Summary of studies identified in the literature search, including studies excluded from the analysis and reasons for exclusion. by Junyin Pan (20700411)

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Mendelian randomization analyses for the relevance of anti-H. pylori IgG seropositivity with risk of CHD. by Jing Wang (6206297)

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Mendelian randomization analysis of the effect of anti-H. pylori IgG seropositivity on coronary heart disease (CHD). by Jing Wang (6206297)

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Forest plot for the significant MR association between four mediators and anti-H. pylori IgG seropositivity. by Jing Wang (6206297)

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Associations of anti-H. pylori IgG seropositivity with mediators. by Jing Wang (6206297)

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Scatter plot for the significant Mendelian randomization (MR) association (P < 0.05) between mediators and anti-H. pylori IgG seropositivity. by Jing Wang (6206297)

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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. …”

Assessment of study bias in the included research. by Junyin Pan (20700411)

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The flow chart of study selection process. by Junyin Pan (20700411)

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Study Flow Diagram. by Elizabeth S. Munroe (21568166)

Specifications and outcomes of clinical trial studies included in the meta-analysis. by Junyin Pan (20700411)

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AI KRegression by CHIN-CHENG CHU (20718575)