Results 191 to 200 of about 58,557 (260)

Cardiometabolic effects of contrast therapy: A systematic review

open access: yesExperimental Physiology, EarlyView.
Abstract The rising prevalence of overweight and obesity, together with associated cardiometabolic disorders, underscores the need for additional strategies alongside established interventions. The growing popularity of contrast therapy – alternating exposure to heat and cold, a practice common in traditional Finnish sauna bathing – has prompted ...
Veerle de Haan   +2 more
wiley   +1 more source

Cumulative Metformin Use and Hepatocellular Carcinoma Risk After HCV SVR: A Multicentre Cohort Study. [PDF]

open access: yesLiver Int
Calvo-Sánchez H   +14 more
europepmc   +1 more source

Deep learning and computer vision for image‐based high‐throughput phenotyping of canning quality traits in dry beans

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Canning color retention is a key quality trait in dry bean (Phaseolus vulgaris L.) breeding, influencing consumer acceptance and commercial value. Public breeding programs maintain canning quality as a selection trait of importance, but existing color evaluation methods such as visual rating are subjective, while instrument colorimetry is ...
Lovepreet Singh   +4 more
wiley   +1 more source

UAV‐based deep transfer learning to improve grain yield prediction in winter wheat across temporal and spatial variability

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal   +8 more
wiley   +1 more source

Advancing Long‐Term Energy Demand Forecasting: A PRISMA‐Guided Systematic Review of AI and Econometric Models

open access: yesApplied Research, Volume 5, Issue 5, October 2026.
Through a PRISMA‐guided review of 42 studies, this work compares deep learning, ensemble machine learning, and statistical/econometric models for long‐term energy demand forecasting, showing that model choice should balance accuracy, interpretability, data availability, and policy relevance.
Nor Afiza Mohd Noor   +4 more
wiley   +1 more source

Machine Learning‐Based Analysis and Prediction of the Influence of Meso‐Void Characteristics on Sound Absorption Coefficient of Porous Asphalt Concrete

open access: yesApplied Research, Volume 5, Issue 5, October 2026.
This study integrates meso‐void characterization, statistical analysis, and machine learning to predict the sound absorption of porous asphalt concrete. Void‐ratio‐related features dominate prediction, while Extra Trees performs best among five evaluated models, supporting acoustic‐oriented PAC mixture design.
Yizhe Han   +6 more
wiley   +1 more source

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