OBJECTIVE: Child stunting continues to pose a substantial global health challenge, requiring multifaceted strategies that combine conventional epidemiological approaches with advanced analytic methods. The aim of this study was to determine the most ... read more
Uveitis is a severe ocular inflammatory disease with complex immune-mediated pathogenesis, posing significant challenges for drug discovery. While artificial intelligence has accelerated virtual screening, existing models often inadequately integrate... read more
This study examines Generative Artificial Intelligence (GenAI) acceptance and Artificial Intelligence Literacy (AIL) levels among prospective teachers, using variables for comparative analysis and identifying influencing factors. The research uses an... read more
Under a human-centered approach, accurately identifying the spatial patterns of urban vitality and revealing the mechanisms through which the built environment affects it can scientifically guide the organic cultivation of urban vitality. In light of... read more
This investigation examines the complex interrelationships between teachers' cognitive load, technological adaptability, and innovative teaching behavior in AI-enhanced educational environments. Through the integration of Cognitive Load Theory, Techn... read more
BACKGROUND: Artificial intelligence-based radiomic approaches have been shown to accurately evaluate indeterminate pulmonary nodules. With the expansion of lung cancer screening and utilization of computed tomography imaging, indeterminate pulmonary ... read more
Female genital schistosomiasis (FGS) is a neglected but highly prevalent disease in sub-Saharan Africa, caused by Schistosoma haematobium egg-induced inflammation in the pelvic region. FGS is characterized by four mucosal lesion types in the lower fe... read more
This study presents a low-cost, integrated microwave cavity perturbation sensor operating in TM010 mode at 2.45 GHz for the non-destructive estimation of moisture content (MC) in wheat and chickpea grains. Unlike conventional methods that rely on exp... read more
Proceedings of the National Academy of Sciences of the United States of America
Mar 5, 2026
Species distribution models (SDMs) are essential tools for ecologists and conservationists because they can identify environmental determinants of species occurrences and predict species distributions. Unfortunately, most SDM algorithms rely on point... read more
Perspectives on psychological science : a journal of the Association for Psychological Science
Mar 5, 2026
Recently, claims have emerged that artificial intelligence (AI) is better at providing empathy than humans. These claims are based on experiments in which large language models were prompted to generate empathic responses to short emotional passages.... read more
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