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 ...
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...
In the distributed localisation problem (DLP), n anonymous robots (agents) A0, . . . ,An−1 are located at arbitrary points p0, . . . , pn−1 ∈ S, where S is a Euclidean space. Initially, each agent Ai ...
Among Time-Sensitive Networking (TSN) mechanisms, the Credit-Based Shaper (CBS) ensures bounded latency, while Frame Replication and Elimination for Reliability (FRER) enhances fault tolerance through...
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 ...
SinoXiv