Zobrazeno 1 - 10
of 459
pro vyhledávání: '"Guangming, Wu"'
Autor:
Xiaoyu Zhang, Qi Sun, Xing Liang, Puzhong Gu, Zhenyu Hu, Xiao Yang, Muxiang Liu, Zejun Sun, Jia Huang, Guangming Wu, Guoqing Zu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Highly stretchable porous materials are promising for flexible electronics but their fabrication is a great challenge. Herein, several kinds of highly stretchable conductive porous elastomers with low or negative Poisson’s ratios are achie
Externí odkaz:
https://doaj.org/article/4821ac9cb9444a6c8da3e1c3118c3bd3
Publikováno v:
Buildings, Vol 14, Iss 7, p 2038 (2024)
The fabricated shear wall with a grouting sleeve is used widely in structural engineering. The damage characteristics of a fabricated shear wall reinforced with angle steel of inadequate grouted material strength were investigated using acoustic emis
Externí odkaz:
https://doaj.org/article/202c2232a8424cca9a4c2534ed7a5456
Autor:
Fangfang Qu, Wenjia Li, Jian Xu, Ruifang Zhang, Jincan Ke, Xiaodie Ren, Xiaogao Meng, Lexin Qin, Jingna Zhang, Fangru Lu, Xin Zhou, Xi Luo, Zhen Zhang, Minhan Wang, Guangming Wu, Duanqing Pei, Jiekai Chen, Guizhong Cui, Shengbao Suo, Guangdun Peng
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
Abstract Mammalian embryos exhibit sophisticated cellular patterning that is intricately orchestrated at both molecular and cellular level. It has recently become apparent that cells within the animal body display significant heterogeneity, both in t
Externí odkaz:
https://doaj.org/article/eacd895166b546c099665ce9ce153bf8
Autor:
Chunfang Hao, Shilong Chu, Xiongzhi Quan, Tiancheng Zhou, Junjie Shi, Xiaofen Huang, Guangming Wu, Micky Daniel Tortorella, Duanqing Pei
Publikováno v:
Cell & Bioscience, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Background Extended pluripotent stem cells (EPSCs) can contribute to both embryonic and trophectoderm-derived extraembryonic tissues. Therefore, EPSCs have great application significance for both research and industry. However, generating EP
Externí odkaz:
https://doaj.org/article/ad63c9ba316948db85cea4c5ed80a634
Publikováno v:
Green Energy & Environment, Vol 8, Iss 2, Pp 548-558 (2023)
Owing to the advantages of high operating voltage, environmental benignity, and low cost, potassium-based dual-ion batteries (KDIBs) have been considered as a potential candidate for large-scale energy storage. However, KDIBs generally suffer from po
Externí odkaz:
https://doaj.org/article/9631ee4d88b24e56bda4024aa9f1a68a
Autor:
Weiwen Ye, Yongqiu Liu, Guangming Wu, Qifei Wu, Zhensen Chen, Zhensheng Chen, Zhenhua Li, Zhijie Cao
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 631-641 (2022)
With the lack of energy and the amazing development of the automobile industry, new energy electric vehicles are bound to become one of the important means of transportation in the future Permanent magnet synchronous motor drive is the most critical
Externí odkaz:
https://doaj.org/article/2dac5cd509f4408e82bf3a945dfdb9ad
Publikováno v:
Asian Journal of Surgery, Vol 46, Iss 7, Pp 2808-2809 (2023)
Externí odkaz:
https://doaj.org/article/fb2a412fc02f456e8130f0bbc6c6d085
Autor:
Haoyu, Wu, Meiqin, Liu, Jiaoyang, Sun, Guangliang, Hong, Haofeng, Lin, Pan, Chen, Xiongzhi, Quan, Kaixin, Wu, Mingli, Hu, Xuejie, Yang, Lämmermann, Ingo, Grillari, Johannes, Zhengli, Shi, Jiekai, Chen, Guangming, Wu
Publikováno v:
Scientific Reports; 8/24/2024, Vol. 14 Issue 1, p1-11, 11p
Autor:
Anke Hermann, Guangming Wu, Pavel I. Nedvetsky, Viktoria C. Brücher, Charlotte Egbring, Jakob Bonse, Verena Höffken, Dirk Oliver Wennmann, Matthias Marks, Michael P. Krahn, Hans Schöler, Peter Heiduschka, Hermann Pavenstädt, Joachim Kremerskothen
Publikováno v:
Cell Death and Disease, Vol 12, Iss 1, Pp 1-14 (2021)
Abstract The WW-and-C2-domain-containing (WWC) protein family is involved in the regulation of cell differentiation, cell proliferation, and organ growth control. As upstream components of the Hippo signaling pathway, WWC proteins activate the Large
Externí odkaz:
https://doaj.org/article/5558975e38b6443abbd9e8c7c04cf744
Publikováno v:
IEEE Access, Vol 9, Pp 77067-77078 (2021)
Due to the limited training data, current data-driven algorithms, including deep convolutional networks (DCNs), are susceptible to training data that cannot be applied to new data directly. Unlike existing methods that are trying to improve model gen
Externí odkaz:
https://doaj.org/article/fcf01859c92542e3b1c72b651813b776