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When the satellite is in orbit, the thruster will experience drastic temperature changes (100-1000 K) under solar radiation, which will affect the rarefied gas flow state in the micro-nozzle structure of the cold gas micro-thruster. In this study, the effect of different wall temperatures on the rarefied flow and heat transfer in the micro-nozzle is investigated based on the DSMC method. The micro-nozzle structure in this paper has a micro-channel with a large length-to-diameter ratio of 10 and a micro-scale needle valve displacement (maximum needle valve displacement up to 4 μm). This leads to more pronounced multiscale flow characteristics in the micro-nozzle, which is more influenced by the change in wall temperature. At wall temperatures ranging from 100 K to 1000 K, the spatial distribution of local Kn distribution, slip velocity distribution, temperature, and wall heat flux distribution in the micro-nozzle were calculated. The slip flow region is located in the flow channel and transforms into transition flow as the slip velocity reaches approximately 50 m/s. The spatial distribution of the flow pattern is dominated by the wall temperature at small needle valve opening ratios. The higher the wall temperature, the smaller the temperature drop ratio in the low-temperature region inside the micro-nozzle. The results of the study provide a reference for the design of temperature control of micro-nozzles in cold gas micro-thrusters.
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http://dx.doi.org/10.3390/mi15010022 | DOI Listing |
Comp Biochem Physiol B Biochem Mol Biol
September 2025
South Iran Aquaculture Research Center, Iranian Fisheries Science Research Institute (IFSRI), Agricultural Research Education and Extension Organization (AREEO), Ahwaz, Iran. Electronic address:
This study evaluated the effects of dietary recovered frying soybean oil (RFSBO) and selenium nanoparticles (SeNPs) on growth performance, hepatic metabolism, intestinal morphology, and the expression of antioxidant, immune, and growth-related genes in juvenile Asian sea bass (Lates calcarifer, 41.5 ± 0.1 g) reared under high temperature (32-33 °C) and high salinity (38-40 ppt).
View Article and Find Full Text PDFFEMS Yeast Res
September 2025
Department of Bioengineering, School of Life Science Engineering, College of Interdisciplinary Science and Technology, University of Tehran, Tehran, Iran.
The growing challenges posed by global warming and the demand for sustainable food and feed resources underscore the need for robust microbial platforms in bioprocessing. Thermotolerant yeasts have emerged as promising candidates due to their ability to thrive at elevated temperatures and other industrially relevant stresses. This review examines the industrial potential of thermotolerant yeasts in the context of climate change, emphasizing how their resilience can lead to more energy-efficient and cost-effective bioprocesses.
View Article and Find Full Text PDFLangmuir
September 2025
School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, People's Republic of China.
The study of the self-assembly of surfactants in aqueous solutions, though a traditional field, remains fascinating and full of novelty. In this article, the anionic perfluorodecanoic acid surfactant (PFA) is separately complexed with three hydroxyalkylamines (monoethanolamine (MEA), diethylamine (DEA), and triethanolamine (TEA)) in aqueous solutions. The transformation of aggregate morphologies from spherical unilamellar to nanotubes and then to spherical bilamellar is observed at room temperature, which is confirmed by cryo-transmission electron microscopy (cryo-TEM).
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Max Planck Institute for Solar System Research, Göttingen 37077, Germany.
Turbulent convection governs heat transport in both natural and industrial settings, yet optimizing it under extreme conditions remains a significant challenge. Traditional control strategies, such as predefined temperature modulation, struggle to achieve substantial enhancement. Here, we introduce a deep reinforcement learning (DRL) framework that autonomously discovers optimal control policies to maximize heat transfer in turbulent Rayleigh-Bénard convection.
View Article and Find Full Text PDFZhonghua Yan Ke Za Zhi
September 2025
Ophthalmology Medical Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory for the Prevention and Treatment of Major Blinding Eye Diseases, Chongqing Branch (Municipality Division) of National Clinical Research Centre for Ocular Diseases, Chongqing 400016,
To explore optimized protocols for paraffin section preparation of the eyeball to enhance the histological visualization of key ocular structures. It was an experimental research, conducted from September 2022 to September 2024. The first experiment involved 18 porcine eyeballs, which were divided into five groups (six subgroups) by the random number table method.
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