Results 191 to 200 of about 58,557 (260)
Cardiometabolic effects of contrast therapy: A systematic review
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
A Flow-Through Multi-Wavelength Sensor with Machine-Learning Calibration for Real-Time Monitoring of Microalgae Cultivation Processes. [PDF]
Bleisch R +7 more
europepmc +1 more source
Cumulative Metformin Use and Hepatocellular Carcinoma Risk After HCV SVR: A Multicentre Cohort Study. [PDF]
Calvo-Sánchez H +14 more
europepmc +1 more source
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
The inverse association between skeletal muscle mass to visceral fat ratio (SVR) and sleep disturbance: the mediating role of inflammation and aging acceleration. [PDF]
Zhang L, Yang Q, Wu X, Hu Y, Yu J.
europepmc +1 more source
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
Direct-Acting Antiviral Therapy and Hepatocellular Carcinoma in Captive Chimpanzees With Long-Standing Chronic Hepatitis C Virus Infection. [PDF]
Hirata S +4 more
europepmc +1 more source
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
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
Explainable IAOA-CNN-CBAM-SVR model for predicting air consumption of auxiliary nozzles with limited sample size. [PDF]
Shen M +6 more
europepmc +1 more source

