Overview of the six original ACTIV-3/TICO trials. by Elizabeth S. Munroe (21568166)

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Mean counts of fish caught per unit effort (± SE) per reef type. by Maryann S. Watson (16879881)

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)

“…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”

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)

FGF18 injections increase TIMP1 and decrease MMP13 and NOGGIN, suggesting healing of degeneration induction of anabolic effect. by Flavia Gomes Velasque Gama (21175112)

Mean KAP scores and standard deviation at different assessment times. by Chikondi Maluwa (20660522)

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)

ONSD at T14 and six months after ICU discharge. by Marco Carbonara (11483575)

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Mean Values and Standard Deviations (Mean [±SD]) of Clinical Parameters: periodontal probing depth (PPD), clinical attachment level (CAL), bleeding on probing (BOP), and plaque ind... by Iva Milinkovic (22331710)

High-risk human papillomavirus prevalence stratified by age group and CD4 count category. by Gad Murenzi (6243719)

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Participant and lab results flow. by Gad Murenzi (6243719)

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Logistic regression model (N = 4,284) for variables associated with multi-level hrHPV positivity (Base outcome: Negative). by Gad Murenzi (6243719)

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Baseline socio-demographic and clinical characteristics by multi-level hrHPV (N = 4,880). by Gad Murenzi (6243719)

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Baseline socio-demographic and clinical characteristics by hrHPV positivity (N = 4,880). by Gad Murenzi (6243719)

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Logistic regression model (N = 4,284) for variables associated with hrHPV positivity. by Gad Murenzi (6243719)

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Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

Data from: Spillage and food dust do not decrease efficacy of long-lasting insecticide-incorporated netting against stored product insects by Sabita Ranabhat (17484660)

Demographics and home ranges of the study groups within and along the periphery of the Nouabalé-Ndoki National Park (NNNP), Republic of Congo. by Kristena Cooksey (20614095)

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