Zobrazeno 1 - 10
of 271
pro vyhledávání: '"Yuzhe, Wang"'
Autor:
Yuzhe Wang, Haoyan Cheng, Bo Sun, Shuaiyu Ma, Jiangyi Guan, Zhonghan Jiang, Kexing Song, Hao Hu
Publikováno v:
Journal of Materials Research and Technology, Vol 33, Iss , Pp 8121-8131 (2024)
Modifying the surface of metallic materials with graphene (Gr) holds significant potential for achieving high electrical conductivity in metal-based composites, leveraging the synergistic effect of the high carrier concentration in metals and the hig
Externí odkaz:
https://doaj.org/article/fbc8db7e6841499ab39d0020de9f7ad7
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1752-1765 (2025)
Aquatic vegetation plays a crucial role in the sustainable development of water resources. Although high-resolution remote sensing imagery has been used to develop methods for the automatic extraction of aquatic vegetation, these methods are usually
Externí odkaz:
https://doaj.org/article/8ec5d024bf994f8fb68741699b61a246
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background Mammary gland development is a critical process in mammals, crucial for their reproductive success and offspring nourishment. However, the functional roles of key candidate genes associated with teat number, including ABCD4, VRTN,
Externí odkaz:
https://doaj.org/article/255111247f224889bc5208c7e59c2c71
Autor:
Mengyuan Liu, Baojuan Huai, Lei Wang, Yuzhe Wang, Hongmin An, Jizu Chen, Wentao Du, Xiang Qin, Weijun Sun
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 57, Iss , Pp 102089- (2025)
Study region: Laohugou Glacier No. 12 in the Qilian Mountains, northeast Tibetan Plateau. Study focus: Alpine glacier meltwater from the Qilian Mountains (QMs), northeast Tibetan Plateau, is the main source of water for the surrounding arid zones. Ac
Externí odkaz:
https://doaj.org/article/711f0ce6448f4d9ba92bf2130de7a6af
Publikováno v:
Geoderma, Vol 448, Iss , Pp 116964- (2024)
Charcoal, a byproduct of biomass burning, is widely and heterogeneously distributed in fire-affected ecosystems. However, few field studies have been conducted to evaluate the effects of fire-deposited charcoal on the post-fire soil quality. In this
Externí odkaz:
https://doaj.org/article/63141f3b9439451f847c1183bf7d6b04
Autor:
Yukun Lv, Yuzhe Wang, Jie Zhang, Yutian Lei, Pingtao Song, Rengen Ding, Xiaofei Yao, Jian Chen
Publikováno v:
Journal of Materials Research and Technology, Vol 28, Iss , Pp 4358-4362 (2024)
The as-cast (Fe50Mn30Co10Cr10)97C2Mo1 HEA (high entropy alloy) was cold rolled to 90 % (CR90 %), followed by annealing at different temperatures (400 °C, 500 °C, 600 °C). Their microstructure and mechanical properties have been systematically inve
Externí odkaz:
https://doaj.org/article/762a88902b3349b296bbab5d4fc4a2f1
Autor:
Tong Zhang, Yuzhe Wang, Wei Leng, Hongyu Zhao, Willliam Colgan, Che Wang, Minghu Ding, Weijun Sun, Wei Yang, Xin Li, Jiawen Ren, Cunde Xiao
Publikováno v:
Earth's Future, Vol 12, Iss 5, Pp n/a-n/a (2024)
Abstract In this study, we apply a three‐dimensional (3D) thermomechanically coupled higher‐order ice flow model to simulate the East Rongbuk Glacier (ERG), Mt. Everest. We first diagnostically investigate its present‐day ice dynamic features i
Externí odkaz:
https://doaj.org/article/01c4cb12c5ae414bba039e4193adf260
Publikováno v:
Journal of Materials Research and Technology, Vol 27, Iss , Pp 6065-6075 (2023)
Effect of cold rolling on microstructural evolution and mechanical properties of a novel (Fe50Mn30Co10Cr10)97C2Mo1 high entropy alloy has been investigated via electron microscopy and tensile testing. The results show that the alloy is mainly deforme
Externí odkaz:
https://doaj.org/article/df3b9174bce74f9290af75ba08b4efce
Autor:
Di Zhu, Yiqiang Zhao, Ran Zhang, Hanyu Wu, Gengyuan Cai, Zhenfang Wu, Yuzhe Wang, Xiaoxiang Hu
Publikováno v:
Genetics Selection Evolution, Vol 55, Iss 1, Pp 1-18 (2023)
Abstract Background Although the accumulation of whole-genome sequencing (WGS) data has accelerated the identification of mutations underlying complex traits, its impact on the accuracy of genomic predictions is limited. Reliable genotyping data and
Externí odkaz:
https://doaj.org/article/9ba0d8f8725e4ab88cec5c04693a8deb
Autor:
Yu Wang, Chao Pang, Yuzhe Wang, Junru Jin, Jingjie Zhang, Xiangxiang Zeng, Ran Su, Quan Zou, Leyi Wei
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Automating retrosynthesis with artificial intelligence expedites organic chemistry research in digital laboratories. However, most existing deep-learning approaches are hard to explain, like a “black box” with few insights. Here, we prop
Externí odkaz:
https://doaj.org/article/c63228f9cbbb4198a7eb92a6b99699c1