The emergence and rapid development of large language models (LLMs) have shown the potential to address these mental health demands. However, a comprehensive review summarizing the application areas, ...

Built on App Orchid's semantic knowledge graph, the Agent continuously learns from context to improve accuracy, transparency, ...

Abstract: To consider model uncertainty in global Fréchet regression and improve density response prediction, we propose a frequentist model averaging method. The weights are chosen by minimizing a ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Families of Black homicide victims are more likely to file victim compensation claims but face disproportionately high denial ...

With a projected market size of $166.6 billion by 2029, alloy steel remains vital for industrial processes, driven by its ...

Introduction Antimicrobial resistance (AMR) is a pressing global health problem disproportionately affecting low- and ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

Objective This study aimed to determine the proportion of capacity challenges for refusal of care, the risk factors that may ...