Results 211 to 220 of about 4,564 (304)

Skeletal muscle proteomics links mitochondrial abundance with peak fat oxidation in physically active young males

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend This study used a non‐targeted proteomic approach to explore the skeletal muscle determinants of peak fat oxidation (PFO) and the exercise intensity at which this occurs (Fatmax). Comprehensive physiological phenotyping was completed in young, lean, physically active males, including blood and skeletal muscle sampling.
Eloise K. Tarry   +11 more
wiley   +1 more source

Magnetic signatures and origins of ferromagnetic minerals in Chang'e-6 lunar farside soils. [PDF]

open access: yesNat Commun
Li J   +15 more
europepmc   +1 more source

Blood‐Based Circulating Tumor DNA Assays for Early Colorectal Cancer Detection: A Systematic Review of Performance in Asymptomatic Screening Populations

open access: yesInternational Journal of Cancer, Volume 159, Issue 4, Page 1028-1041, 15 August 2026.
Early detection of colorectal cancer via population‐based screening programs can reduce incidence and mortality, but current screening approaches are limited. This systematic review evaluated the screening potential of blood‐based circulating tumor DNA assays in asymptomatic screening populations.
Caroline Ledertoug Kahn   +4 more
wiley   +1 more source

Life on Mars? The physiological perspective

open access: yes
Experimental Physiology, EarlyView.
Ronan M. G. Berg, Damian M. Bailey
wiley   +1 more source

Super‐Resolution of Planetary Images Based on Generative Adversarial Network

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Currently, satellite imagery serves as the primary means of observing terrestrial planets such as the Mars, the Moon, and Mercury. Enhancing the resolution and quality of these images can provide more detailed insights into planetary surfaces. However, improvements in image quality are often limited by the constraints of sensor technology and ...
Xiaoran Zhang, Yiran Wang, Miao Zhuo
wiley   +1 more source

Automated Mineral Identification and Rock‐Type Classification of Lunar Mare Basalts Using SEM Images

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract We present an automated system for identifying minerals and classifying rock types in Apollo lunar mare basalts using scanning electron microscopy (SEM) imagery. Mineral segmentation is based on a U‐Net architecture, supplemented by two scale‐aware models designed to incorporate pixel size information.
Ji‐In Jung   +3 more
wiley   +1 more source

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