AIM: To identify the experiences and perceptions of healthcare professionals on artificial intelligence in healthcare. DESIGN: Systematic literature review of qualitative studies and meta-aggregation. DATA SOURCES: CINAHL, PubMed, Scopus, Medic and P... read more
AIMS: This study aimed to develop a robust machine learning (ML)-based quantitative structure-activity relationship (QSAR) model to identify potential drug candidates active against multidrug-resistant Salmonella typhi. MATERIALS & METHODS: A curated... read more
Medicine and science in sports and exercise
Jan 26, 2026
INTRODUCTION/PURPOSE: This study examined the relationship between lower extremity muscle volumes and countermovement jump (CMJ) performance in 207 (43 female, 164 male) National Collegiate Athletic Association Division I collegiate basketball, footb... read more
AI-based tools such as ChatGPT are currently reshaping the landscape of higher education and significantly impacting student learning and academic achievement. With such powerful tools, individuals might get the impression of being guided by an omnis... read more
This study investigates the factors influencing university students' behavioral intention (BI) to use ChatGPT for academic learning, emphasizing the mediating role of learning engagement (LE) between performance expectancy (PE), effort expectancy (EE... read more
Poultry products are important global protein sources but are vulnerable to contamination by toxic metals such as copper, cadmium, lead, and arsenic. Excessive intake of these metals poses health risks, necessitating reliable yet accessible detection... read more
Rising coastal pollution has increased use of remote sensing-machine learning monitoring frameworks. However, most studies rely on limited spectral features and conventional models, limiting their ability to capture the complex optical variability of... read more
International journal of neural systems
Jan 26, 2026
Spiking neural membrane systems (SNP systems) are distributed parallel computing models inspired by neuronal spike mechanisms. Traditional SNP systems execute rules serially within each neuron, limiting their efficiency. This paper introduces MNSNP s... read more
European journal of internal medicine
Jan 26, 2026
BACKGROUND: Identifying early pathobiological mechanisms associated with the onset and progression of heart failure (HF) could guide development of preventive strategies. OBJECTIVE: To elucidate molecular pathways driving HF pathogenesis and identify... read more
International journal of neural systems
Jan 26, 2026
Designing effective neural architectures remains a central challenge in deep learning, and Neural Architecture Search (NAS) has become a popular tool for automating this process. However, many existing NAS approaches depend on hand-crafted architectu... read more
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