Tian, Y. (2025) Artificial Intelligence Acceptance of High School English Teachers and Its Influencing Factors —Mixed Research Based on the UNESCO Framework for Teachers’ AI Competence. Open Journal ...

AI engineer uses data to cut hospital readmissions By Staff Writer, ITWebJohannesburg, 24 Dec 2025Sylvester Tafirenyika ,co-founder of RoyalTech AI Labs. As artificial intelligence (AI) increasingly ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Introduction This article outlines the research protocol for a multicentre, randomised, controlled study designed to evaluate the therapeutic effect of a modified olfactory training (MOT) based on ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Introduction Compared with other high-income countries, the USA continues to have the highest rates of pregnancy-related and associated mortality and morbidity (PRAMM), particularly in rural areas and ...

Our major research projects advance evidence on chronic disease, environmental exposures, public health surveillance, and substance use to inform policy and improve population health.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...

Integral transforms play a foundational role in applied mathematics, statistics, and theoretical physics, serving as powerful ...

The mission of CNSTAT is to provide advice to the federal government and the nation grounded in the current best scientific knowledge and practice that will lead to improved statistical methods and ...