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

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

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)

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. …”

Biases in larger populations. by Sander W. Keemink (21253563)

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”

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

“…However, this model can be time-consuming and can only represent a single vessel track. 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. …”

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

Related inflammation evaluation indexes before and after operation (mean±standard deviation). by Na Wang (193263)

Baseline data of each group (mean±standard deviation)/n (%)/(M(IQR)). by Na Wang (193263)

Relevant follow-up evaluation indicators after operation (mean±standard deviation)/n (%). by Na Wang (193263)

Scatter plot of scores in the first six progress tests by entry cohort. by Franco Romaní-Romaní (21989788)