Results 211 to 220 of about 4,564 (304)
Concept and preliminary structural analysis of a crater-covering dome for future lunar habitats. [PDF]
Mrozek M +3 more
europepmc +1 more source
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]
Li J +15 more
europepmc +1 more source
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
Emerging Chemical and Biological Materials Technologies in the Extraplanetary Environment. [PDF]
Jiang Q +5 more
europepmc +1 more source
Life on Mars? The physiological perspective
Experimental Physiology, EarlyView.
Ronan M. G. Berg, Damian M. Bailey
wiley +1 more source
Super‐Resolution of Planetary Images Based on Generative Adversarial Network
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
Evaluating the scotopic visual sensitivity of walleye (<i>Sander vitreus</i>) and implications for foraging habitat. [PDF]
Keyler TD +4 more
europepmc +1 more source
Automated Mineral Identification and Rock‐Type Classification of Lunar Mare Basalts Using SEM Images
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

