SinoXivPurpose: To assess prostate biopsy uptake and its predictors among patients previously found to have elevated Prostate-Specific Antigen results at the Kyabirwa Surgical Center. Method: An analytical c...
A fully reproducible expected-goals (xG) modelling pipeline is presented as an interpretable machine learning approach using open football event data from StatsBomb for La Liga 2015/2016 and the 2018 ...
Purpose: This systematic review evaluates the effectiveness of MYmind, a mindfulness-based intervention for Autistic youth (aged 8–23) and their parents. The review applies the neurodiversity paradig...
Agentic Retrieval–Augmented Generation (RAG) systems have advanced the ability of large language models to handle complex, multi–step questions by dynamically planning and executing retrieval operatio...
Objective To characterise knowledge, attitudes, and practices (KAP) regarding antibiotic use among Fulani women milk vendors in Sabon Gari and Zaria, Nigeria, within a One Health frameworkMethods A cr...
This paper investigates the gap between portfolio choice theory and observed household behavior by examining how wealth composition influences stock market participation. I develop a participation mod...
Accurate identification of equilibrium points and bifurcation boundaries is fundamental to understanding the nonlinear lateral dynamics of rear-wheel-drive (RWD) vehicles, particularly during aggressi...
Rust, caused by Puccinia arachidis, is one among the most destructive fungal diseases constraining global groundnut (Arachis hypogaea L.) production. While the development of disease-resistant varieti...
The growing prevalence of diabetes highlights the need for scalable, accurate, and privacy-conscious testing technologies. To train models, traditional machine learning (ML) techniques often rely on c...
This paper studies whether large language models (LLMs) express systematically different opinions on contested questions in development economics and political economy, and whether those opinions are ...
