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. …”

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Decrease in loss during the training process. by Muhammad Idrees (92773)

Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

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

The top 10 putative metabolites with the largest negative fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

The top 10 putative metabolites with the largest positive fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

Data Sheet 1_Large language models for closed-library multi-document query, test generation, and evaluation.docx by Claire Randolph (19747105)

“…</p>Methods<p>Herein, two methods are introduced (DaaDy: document as a dictionary and SQAD: structured question answer dictionary), which together enable effective implementation of LLM-RAG question-answering on large documents. Additionally, the AI for knowledge intensive tasks (AIKIT) solution is presented for working with numerous documents for training and continuing education. …”

List of network connections predictive of individual SoF values, together with their β weights, in decreasing order. by Yinan Xu (12440894)

SHAP interpretation of the optimal machine learning model. by Wentao Yang (205781)

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Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

“…</p><p><br></p><p dir="ltr">The data are related to the scientific paper “Sibaja Leyton M. et al., (under review) Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas”.…”

Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

Comprehensive evaluation of machine-learning models in the training cohort. by Wentao Yang (205781)

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Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

School learning model dispositions data. by David A. Katz (10056006)

“…From 2019 to 2021, reported persistent feelings of sadness/hopelessness (2019 = 36.3%, 2021 = 41.3%), seriously considering suicide (17.0-18.7%), making suicide plan(s) (14.2-16.9%), and experiencing sexual dating violence in past 12 months (6.7-7.8%) increased significantly, while alcohol use (22.5-17.1%), binge drinking (8.5-6.2%), and marijuana use (20.2-14.3%) in past 30 days, ever prescription opioid misuse (16.0-13.2%), and gun-carrying (5.5-4.5%), physical fighting (22.3-17.3%), and any sexual violence (11.3-10.4%) in past 12 months decreased significantly. Students in virtual learning jurisdictions reported relative decreases in injury during suicide attempt(s) (OR=0.68, 95%CI = 0.52-0.88), experiencing sexual violence (OR=0.78, 95%CI = 0.67-0.91), using electronic vapor products (OR=0.81, 95%CI = 0.70-0.95), using alcohol (OR=0.84, 95%CI = 0.74-0.95), and misusing prescription opioids (OR=0.82, 95%CI = 0.72-0.94). …”

Feature engineering. by Youli Jiang (15249070)

Median SHAP values (calculated for CSCHF at age 5000 days) for binary features in the competing risks RSF model for different disease categories. The features are sorted in decreas... by Eric Wang (30587)

Average change in trust in science by country (n = 10,000). by Alain Abi-Rizk (8549358)

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Trust change by gender. by Alain Abi-Rizk (8549358)

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Trust change by age group. by Alain Abi-Rizk (8549358)

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