Zobrazeno 1 - 10
of 3 911
pro vyhledávání: '"Zhao Shen"'
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-11 (2023)
Abstract Lithocarpus, with >320 species, is the second largest genus of Fagaceae. However, the lack of a reference genome limits the molecular biology and functional study of Lithocarpus species. Here, we report the chromosome-scale genome assembly o
Externí odkaz:
https://doaj.org/article/b40660e5c4714791a46944f08488790b
Autor:
Chao Yang, Chenyu Wang, Xuanzi Zhao, Zhao Shen, Min Wen, ChaoChao Zhao, Liyuan Sheng, Yaoguang Wang, Daokui Xu, Yufeng Zheng, Paul K. Chu, Xiaoqin Zeng
Publikováno v:
Materials & Design, Vol 239, Iss , Pp 112769- (2024)
Corrosion caused by the active chemical properties of magnesium (Mg) alloys seriously restricts their applications in aerospace, transportation, biomedicine, and other fields. Although micro-arc oxidation (MAO) coatings can provide some corrosion pro
Externí odkaz:
https://doaj.org/article/4c7ddd4767dd419ea58f6d48e20071bc
Publikováno v:
Journal of Materials Research and Technology, Vol 25, Iss , Pp 887-904 (2023)
In this work, the oxidation behavior of Inconel 718 superalloy fabricated by selective laser melting was investigated in the CO2 atmosphere at 1000 and 1100 °C. Results show that the structure of the oxide scales is strongly dependent on the grain p
Externí odkaz:
https://doaj.org/article/d3359fd8f3324f7e8ede1bbeff64fc9e
Publikováno v:
Gastroenterology Research and Practice, Vol 2024 (2024)
Conclusion: This survey conducted during the COVID-19 pandemic reported worries among patients with IBD about out-of-home activities. The patients with clinically active IBD, especially UC, expressed worries about not finding public washrooms when go
Externí odkaz:
https://doaj.org/article/6e9581a8d33341e9b8c3f990679ab0fe
Autor:
Zhipeng Wang, Zhao Shen, Yahuan Zhao, Yang Liu, Bo Hu, Xiaoqing Shang, Jingya Wang, Yangxin Li, Dejiang Li, Jianqiang Zhang, Sergio Lozano-Perez, Frank Czerwinski, Xiaoqin Zeng
Publikováno v:
Materials Today Advances, Vol 20, Iss , Pp 100446- (2023)
The strategy of rare-earth elements addition into Mg alloys has been successfully developed and applied to enhance the mechanical performance and corrosion resistance of Mg alloys. Although this strategy has also been applied to enhance their high-te
Externí odkaz:
https://doaj.org/article/f85df556ce0949cea867c3c980ca9278
Autor:
Yanan Hu, Shengchuan Wu, Yi Guo, Zhao Shen, Alexander M. Korsunsky, Yukuang Yu, Xu Zhang, Yanan Fu, Zhigang Che, Tiqiao Xiao, Sergio Lozano-Perez, Qingxi Yuan, Xiangli Zhong, Xiaoqin Zeng, Guozheng Kang, Philip J. Withers
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
Fusion welding of 7000 series aluminum alloy is plagued by cracking from a fine equiaxed zone (FQZ). Here, the authors quantify key softening mechanisms, show the damage accumulation sequence, and propose a hybrid laser/arc welding strategy to mitiga
Externí odkaz:
https://doaj.org/article/ec69a61b2d95417eb119fa4cfad2207c
Purpose: To develop a simultaneous multislice (SMS) first-pass perfusion technique that can achieve whole heart coverage with high multi-band factors, while avoiding the issue of slice leakage. Methods: The proposed Simultaneous Multislice Imaging vi
Externí odkaz:
http://arxiv.org/abs/2409.04353
Autor:
Gong, Jiahui, Ding, Jingtao, Meng, Fanjin, Chen, Guilong, Chen, Hong, Zhao, Shen, Lu, Haisheng, Li, Yong
Mobile devices, especially smartphones, can support rich functions and have developed into indispensable tools in daily life. With the rise of generative AI services, smartphones can potentially transform into personalized assistants, anticipating us
Externí odkaz:
http://arxiv.org/abs/2408.09815
Autor:
Huang, Gexin, Wu, Chenfei, Li, Mingjie, Chang, Xiaojun, Chen, Ling, Sun, Ying, Zhao, Shen, Liang, Xiaodan, Lin, Liang
Predicting genetic mutations from whole slide images is indispensable for cancer diagnosis. However, existing work training multiple binary classification models faces two challenges: (a) Training multiple binary classifiers is inefficient and would
Externí odkaz:
http://arxiv.org/abs/2406.02990
Understanding the real world through point cloud video is a crucial aspect of robotics and autonomous driving systems. However, prevailing methods for 4D point cloud recognition have limitations due to sensor resolution, which leads to a lack of deta
Externí odkaz:
http://arxiv.org/abs/2404.11605