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http://dx.doi.org/10.1097/GME.0000000000001970 | DOI Listing |
Langmuir
January 2025
Hubei Key Laboratory of Oil and Gas Exploration and Development Theory and Technology (China University of Geosciences), Wuhan 430074, China.
The strong solid-liquid interaction leads to the complicated occurrence characteristics of shale oil. However, the solid-liquid interface interaction and its controls of the occurrence state of shale oil are poorly understood on the molecular scale. In this work, the adsorption behavior and occurrence state of shale oil in pores of organic/inorganic matter under reservoir conditions were investigated by using grand canonical Monte Carlo (GCMC) and molecular dynamics (MD) simulations.
View Article and Find Full Text PDFMicrosc Res Tech
January 2025
AIDA Lab. College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia.
The development of deep learning algorithms has transformed medical image analysis, especially in brain tumor recognition. This research introduces a robust automatic microbrain tumor identification method utilizing the VGG16 deep learning model. Microscopy magnetic resonance imaging (MMRI) scans extract detailed features, providing multi-modal insights.
View Article and Find Full Text PDFJ Int Soc Sports Nutr
December 2025
University of Bologna-Alma Mater Studiorum, Department of Quality of Life Sciences, Bologna, Italy.
Background: Understanding the impact of caffeine intake on body composition is a topic of growing research interest. The article "Association Between Caffeine Intake and Fat-Free Mass Index: A Retrospective Cohort Study" by Tian et al. explored this relationship, highlighting a positive correlation between caffeine consumption and fat-free mass index (FFMI).
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Public Health and Primary Care, Leiden University Medical Centre, Hippocratespad 21, Leiden, Netherlands.
Background: eHealth literacy (eHL) is positively associated with health-related behaviors and outcomes. Previous eHL studies primarily collected data from online users and seldom focused on the general population in low- and middle-income countries (LMIC). Additionally, knowledge about factors that affect eHL is limited.
View Article and Find Full Text PDFBMC Plant Biol
January 2025
Field Crops Research Institute, Agricultural Research Center, Giza, 12619, Egypt.
Studying genetic variability through the phenotypic performance of genotypes is crucial in the breeding program. Therefore, evaluating both yield performance and stability across diverse environments is essential in yield trials to identify high-yield potential and stable cultivars. In this study, we employed 12 univariate and 10 multivariate stability models to analyze how genotype (G), environment (E), and their interaction (G × E) affect the yield performance of 32 barley genotypes across 10 environments.
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