Malaria in sub-Saharan Africa is transmitted by mosquitoes from the Anopheles genus. Efforts to control the spread of malaria have often focused on these vectors, but little is known about the demographic history of populations and species of Anophel... read more
Rapid, low-cost production of user-defined nanoscale patterns is vital for prototyping in energy, biomedical, and information technologies. Yet top-down lithography is prohibitively expensive, and bottom-up self-assembly affords limited design freedo... read more
Preventing sports injuries in professional football enhances players' availability and performance. Machine learning, including artificial neural networks, provides the opportunity to build multivariable prognostic prediction models that can help dev... read more
Journal of microbiology & biology education
May 14, 2026
Artificial intelligence (AI) is rapidly reshaping higher education, offering both opportunities and challenges for teaching and learning. As generative AI tools become increasingly accessible, instructors must balance the benefits of enhanced product... read more
BackgroundArtificial intelligence (AI) enables hand motion tracking from standard surgical video recordings; however, translating these data into meaningful performance metrics remains challenging. We evaluated the preliminary validity of a markerles... read more
Journal of the American Chemical Society
May 14, 2026
Break-junction measurements provide a direct probe of charge transport through single-molecule junctions, but the junction is created and elongated under mechanical loading, leading to variable junction geometries and broad conductance distributions.... read more
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
May 14, 2026
BACKGROUND: Machine learning enables complex risk prediction models, but comparative performance with statistical approaches remains context-dependent. We compared statistical and machine learning models for predicting advanced breast cancer risk. ME... read more
Triethylamine (TEA), a typical biogenic amine indicative of protein spoilage and a common toxic chemical pollutant, requires highly sensitive detection to ensure both food safety and occupational health. However, existing TEA sensors are often limite... read more
Physical chemistry chemical physics : PCCP
May 14, 2026
We compare two systematic approaches for constructing the kinetic transition network associated with a catalytic reaction, namely reactive global optimization (RGO) and discrete path sampling (DPS). We test convergence of pathways for selected steps ... read more
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