Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Zhenning Zhou"'
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 8 (2020)
BackgroundChildren who are exposed to anesthesia multiple times may undergo cognitive impairment during development. The underlying mechanism has been revealed as anesthesia-induced cognitive deficiency in young rodents and monkeys. However, the mole
Externí odkaz:
https://doaj.org/article/e445eb0115eb4fb3b143d575fc52e919
Autor:
Sanlan Li, Yuhan Shi, Xuan Yao, Xing Wang, Libing Shen, Zhiping Rao, Jiacheng Yuan, Yueguang Liu, Zhenning Zhou, Ziheng Zhang, Fei Liu, Su’e Han, Junlan Geng, Hui Yang, Leping Cheng
Publikováno v:
Cell Reports, Vol 28, Iss 3, Pp 682-697.e7 (2019)
Summary: Dysfunction of noradrenergic (NA) neurons is associated with a number of neuronal disorders. Diverse neuronal subtypes can be generated by direct reprogramming. However, it is still unknown how to convert non-neuronal cells into NA neurons.
Externí odkaz:
https://doaj.org/article/832f2aba3a844d8884f93cef0e8b2072
Publikováno v:
IEEE Robotics and Automation Letters. 8:3462-3469
Autor:
Senlin Fang, Zhengkun Yi, Tingting Mi, Zhenning Zhou, Chaoxiang Ye, Wanfeng Shang, Tiantian Xu, Xinyu Wu
Publikováno v:
IEEE Transactions on Automation Science and Engineering. :1-11
Autor:
Zhenning Zhou, Binhua Huang, Runzhi Zhang, Meng Yin, Chengliang Liu, Yiwen Liu, Zhengkun Yi, Xinyu Wu
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-12
Autor:
Chaoxiang Ye, Xiaoyu Li, Binhua Huang, Yuanzhe Su, Tingting Mi, Zhenning Zhou, Zhengkun Yi, Xinyu Wu
Publikováno v:
2022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
Autor:
Zhenning Zhou, Senlin Fang, Chaoxiang Ye, Tingting Mi, Binhua Huang, Xiaoyu Li, Zhengkun Yi, Xinyu Wu
Publikováno v:
2022 IEEE International Conference on Real-time Computing and Robotics (RCAR).
Publikováno v:
2022 International Conference on Advanced Robotics and Mechatronics (ICARM).
Publikováno v:
Intelligent Robotics and Applications ISBN: 9783031138348
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0686da845bd4a4e7cc196dee10626d96
https://doi.org/10.1007/978-3-031-13835-5_57
https://doi.org/10.1007/978-3-031-13835-5_57
Autor:
Dashun Que, Senlin Fang, Zhengkun Yi, Chaoxiang Ye, Xinyu Wu, Tingting Mi, Chengliang Liu, Zhenning Zhou
Publikováno v:
RCAR
One of the challenges for robots to grasp unknown objects is to predict whether objects will fall at the beginning of grasping. Evaluating robotic grasp state accurately and efficiently is a significant step to address this issue. In this paper, base