1,010 results found

Muhammad Muhsin Fathuddin, Rafeedah Fathuddin, John Solomon Obidah, Samira Garba, Eleyi Rosemary Ameh

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...

Research Square 2026-04-21 rs-9472430
Antibiotic use antimicrobial stewardship Fulani women informal dairy markets One Health Nigeria

Niccolo' Altini

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...

Research Square 2026-04-21 rs-8758402
Stock market participation Background risk Wealth composition Correlated Random Effects Italy

Javad Zolfaghari, A.S.M. Harithuddin, A.A. Nuraini, Raja Kamil, Reza Jazar

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...

Nonlinear Dynamics 2026-04-21 rs-9400923
Rear-Wheel Drive Vehicle Dynamics Hybrid Optimization Equilibrium Points Stability Analysis Bifurcation Analysis and Determination

Hima Bindu Bhadragiri, Jayashree Kar, Madhvi Sharma, H. V. Veerendrakumar, Digbijaya Swain, Arabinda Dahl, Sukanta K. Pradhan, Ragavendran Abbai, Trinh Xuan Hoat, Hari K. Sudini, Ramesh S. Bhat, Manish K. Pandey

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...

Theoretical and Applied Genetics 2026-04-21 rs-9220751
Groundnut GWAS Candidate genes SNPs KASP Markers Marker assisted breeding

Gabriel Gomes de Oliveira, Suja A. Alex, J. Renees, Abdullah Ayub Khan, Vania V. Estrela, Shilpa Mahajan, Asif A. Laghari, Asiya Khan

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...

Discover Artificial Intelligence 2026-04-21 rs-9182048
Federated Learning Edge Computing Decentralized Intelligence Deep Neural Network Diabetes Prediction Healthcare

Tamas Olah, Marianna Abuczki

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 ...

Discover Artificial Intelligence 2026-04-21 rs-9211650
AI LLM Latin America Inequality Cohesion Economic Development

Marzieh Shekari, Zohreh Pakdaman, Ghobad Saadat Kia Barmalzan, Narayanaswamy ‎Balakrishnan

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...

Journal of Inequalities and Applications 2026-04-21 rs-9398932
Fail-safe systems Usual stochastic order Hazard rate order Majorization order Multiple-outlier models Archimedean survival copula Generalized scaled loglogistic model

Leszek Gąsieniec, Łukasz Kuszner, Ehsan Latif, Ramviyas Parasuraman, Paul Spirakis, Grzegorz Stachowiak

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 ...

Distributed Computing 2026-04-21 rs-9368524
Population Protocols Distributed Localisation Spatial Queries Self-Stabilisation

Santiago Torres-Borda, Ahlem Mifdaoui

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...

Real-Time Systems 2026-04-21 rs-9314756
Time-Sensitive Networking (TSN) Credit-Based Shaper (CBS) Frame Replication and Elimination for Reliability (FRER) Network Calculus Optimization Schedulability

Abdulmajeed Alhumaidi, Yosab Bebawy, Roman Obermaisser

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 ...

Real-Time Systems 2026-04-21 rs-9246074
Real-time systems Worst-case execution time (WCET) Deterministic scheduling Distributed deep neural network inference Heterogeneous multiprocessor scheduling Directed acyclic graph (DAG) scheduling Time-Sensitive Networking (TSN) FPGA-based acceleration
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