Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Hanwen, Cao"'
Autor:
Ming Li, Wei Xu, Zhaojie Xu, Fan Mo, Gucheng Yang, Shiya Lv, Hanwen Cao, Juntao Liu, Xinxia Cai
Publikováno v:
Electronics Letters, Vol 60, Iss 18, Pp n/a-n/a (2024)
Abstract Decoding of spatial information from place cells is currently limited to individual brain regions, severely constraining the understanding of the brain's spatial navigation mechanisms. In this study, synchronized detection of dual‐brain re
Externí odkaz:
https://doaj.org/article/b1329c0adc6a4e56b685ecd6badb7bd7
Autor:
Hanwen Cao1 hanwencao21@163.com, Jun Zhang2 junzhang0805@126.com, Sanping Rao2 raosanping81@sina.com, Chao Yi3 chaoyi1002@126.com, Mengling He3 hem10816@163.com
Publikováno v:
Engineering Letters. Oct2024, Vol. 32 Issue 10, p1939-1946. 8p.
Autor:
Meiqi Han, Yu Wang, Luyi Jing, Gucheng Yang, Yaoyao Liu, Fan Mo, Zhaojie Xu, Jinping Luo, Qianli Jia, Yuxin Zhu, Hanwen Cao, Xinxia Cai, Juntao Liu
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
The striatum plays a crucial role in studying epilepsy, as it is involved in seizure generation and modulation of brain activity. To explore the complex interplay between the striatum and epilepsy, we engineered advanced microelectrode arrays (MEAs)
Externí odkaz:
https://doaj.org/article/02d35b6d72404c4cb48a2d0509ec6b4a
Autor:
Junda Huang, Jianshu Zhou, Zhengyan Wang, Jones Law, Hanwen Cao, Yichuan Li, Hongbo Wang, Yunhui Liu
Publikováno v:
Advanced Intelligent Systems, Vol 4, Iss 9, Pp n/a-n/a (2022)
Bio‐inspired soft robots provide a promising solution for robots working in human‐centered scenarios and interacting with unstructured environments. However, the functional versatility and multimodal sensing of soft robots still need improvements
Externí odkaz:
https://doaj.org/article/691106e151e1403583c8002c9b3eca07
Autor:
Jinwei Xin, Zhixin Chai, Chengfu Zhang, Qiang Zhang, Yong Zhu, Hanwen Cao, Cidan Yangji, Xiaoying Chen, Hui Jiang, Jincheng Zhong, Qiumei Ji
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-12 (2020)
Abstract Background Domestic yaks play an indispensable role in sustaining the livelihood of Tibetans and other ethnic groups on the Qinghai-Tibetan Plateau (QTP), by providing milk and meat. They have evolved numerous physiological adaptations to hi
Externí odkaz:
https://doaj.org/article/5be8e53aa87b47b49a7d798488cbee44
Autor:
Hui Wang, Jincheng Zhong, Chengfu Zhang, Zhixin Chai, Hanwen Cao, Jikun Wang, Jiangjiang Zhu, Jiabo Wang, Qiumei Ji
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-15 (2020)
Abstract Background The Intramuscular fat (IMF) content in meat products, which is positively correlated with meat quality, is an important trait considered by consumers. The regulation of IMF deposition is species specific. However, the IMF-depositi
Externí odkaz:
https://doaj.org/article/eb89670eff0f413a930e8a1923088959
Autor:
Lulu Han, Wanchao Xue, Hanwen Cao, Xiaoying Chen, Fasheng Qi, Tao Ma, Yan Tu, Qiyu Diao, Chengfu Zhang, Kai Cui
Publikováno v:
Frontiers in Microbiology, Vol 12 (2022)
Rumen microbiota are closely linked to feed utilization and environmental adaptability of ruminants. At present, little is known about the influence of different extreme environments on the rumen microbiota of yaks. In this study, 30 ruminal fluid sa
Externí odkaz:
https://doaj.org/article/1da8f06f49b64a5c91dcb5e8970fb876
Publikováno v:
IEEE Robotics and Automation Letters. 7:9699-9706
Autor:
Jinwei Xin, Zhixin Chai, Chengfu Zhang, Qiang Zhang, Yong Zhu, Hanwen Cao, Jincheng Zhong, Qiumei Ji
Publikováno v:
Frontiers in Microbiology, Vol 10 (2019)
Yak (Bos grunniens) is an unique ruminant species in the Qinghai-Tibetan Plateau (QTP). The ruminant gastrointestinal tract (GIT) microbiota is not only associated with the nutrients metabolism, but also contributes to the host’s local adaptation.
Externí odkaz:
https://doaj.org/article/29e1b91a1d934541a1885f2a36e2024b
Autor:
Zhongzhou Dou, Ruicai Si, Xing Cao, Jinfeng Zhao, Yingying Yao, Hang Wang, Hanwen Cao Cao, Chengzhi Su, Chenyu Yang
Publikováno v:
International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023).