SinoXivAccurate 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 ...
This study provides a comprehensive analysis of fail-safe systems incorporating multiplegeneralized scaled log-logistic outlier components. In this Regard, two structural frameworksare examined: one i...
Deep neural networks (DNNs) are increasingly critical to embedded and cyber–physical systems that demand strict real-time guarantees. However, the computational intensity of modern DNNs often exceeds ...
The analytical solution of the system consisting of donor-acceptor double quantum dots of approximately the same size, located inside a high-quality cavity is studied. The double quantum dots interact...
Background The 2023 Kahramanmaraş Earthquakes placed an immense psychosocial burden on healthcare workers. This study explores the experiences of professionals navigating a profound "dual role" parado...
This study investigates the behavioral, environmental, and roadway-related determinants of injury severity in crashes involving child pedestrians (aged under 15), utilizing six years (2017–2022) of cr...
Healthcare revenue cycle management (RCM) loses billions annually to claim denials, yet existing machine learning approaches treat billing as a prediction problem rather than a decision problemthey pr...
