Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Qisong Wan"'
Autor:
Qisong Wan, Shenglan Du, Yu Chen, Feng Li, Radwa Salah, Maxwell Njoroge Njenga, Jitao Li, Shengwei Wang
Publikováno v:
Plants, Vol 13, Iss 11, p 1544 (2024)
Studying the ecological niches of species and their responses to climate change can provide better conservation strategies for these species. Myrothamnaceae is endemic to Africa, comprising only two species that belong to Myrothamnus (M. flabellifoli
Externí odkaz:
https://doaj.org/article/7e6a0619728440faa8871ebfc99a2d4e
Autor:
Jing Tian, Kun Zhang, Junzhao Cui, Jin Qin, Binbin Wang, Lixia Zhou, Tong Li, Kailin Bu, Zhongzhong Li, Lin Liu, Qisong Wang, Si Yuan, Lina Ma, Ye Wang, Rui Wang, Chaoyue Meng, Biyi Zhou, Li Guo, Xiaoyun Liu
Publikováno v:
BMC Neurology, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Objective To investigate the factors associated with brain frailty and the effect of brain frailty in patients with anterior circulation large artery occlusion (AC-LAO). Methods 1100 patients with AC-LVO consecutively admitted to the Second
Externí odkaz:
https://doaj.org/article/66dac0428b2a4cd3b9a490e5bab7f698
Publikováno v:
Drones, Vol 8, Iss 6, p 213 (2024)
With the increasing diversity and complexity of tasks assigned to unmanned aerial vehicles (UAVs), the demands on task assignment and sequencing technologies have grown significantly, particularly for large UAV tasks such as multi-target reconnaissan
Externí odkaz:
https://doaj.org/article/c445bf8b457a4b37959c700a5bb1c661
Autor:
Junzhao Cui, Jingyi Yang, Kun Zhang, Guodong Xu, Ruijie Zhao, Xipeng Li, Luji Liu, Yipu Zhu, Lixia Zhou, Ping Yu, Lei Xu, Tong Li, Jing Tian, Pandi Zhao, Si Yuan, Qisong Wang, Li Guo, Xiaoyun Liu
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Objectives: Patients with anterior circulation large vessel occlusion are at high risk of acute ischemic stroke, which could be disabling or fatal. In this study, we applied machine learning to develop and validate two prediction models for acute isc
Externí odkaz:
https://doaj.org/article/f6014f0c89214bd2b22a759e6578ce2f
Publikováno v:
Computer Assisted Surgery, Vol 24, Iss 0, Pp 160-166 (2019)
Near infrared spectroscopy is the promising and noninvasive technique that can be used to detect the brain functional activation by monitoring the concentration alternations in the haemodynamic concentration. The acquired NIRS signals are commonly co
Externí odkaz:
https://doaj.org/article/b0bc776355754d5786a617d690e232e1
Publikováno v:
Computer Assisted Surgery, Vol 24, Iss 0, Pp 144-150 (2019)
Continuous wave near-infrared spectroscopy (CW-NIRS) can be used to measure cerebral activity because it is noninvasive, simple and portable. However, the performance of the continuous wave near-infrared spectroscopy is distorted by the presence of e
Externí odkaz:
https://doaj.org/article/46df335ebf6f455b917bb0bb5e900815
Publikováno v:
Computer Assisted Surgery, Vol 24, Iss 0, Pp 167-173 (2019)
Surface EEG (Electroencephalography) signal is vulnerable to interference due to its characteristics and sampling methods. So it is of great importance to evaluate the collected EEG signal prior to use. Traditional methods usually use the impedance b
Externí odkaz:
https://doaj.org/article/3fe8dbbe897a41e58d0a4656a45b563a
Publikováno v:
Computer Assisted Surgery, Vol 0, Iss 0, Pp 1-7 (2019)
Near infrared spectroscopy is the promising and noninvasive technique that can be used to detect the brain functional activation by monitoring the concentration alternations in the haemodynamic concentration. The acquired NIRS signals are commonly co
Externí odkaz:
https://doaj.org/article/97b6b3ba90ac48aa96a73246ebb65001
Publikováno v:
Computer Assisted Surgery, Vol 0, Iss 0, Pp 1-7 (2019)
Continuous wave near-infrared spectroscopy (CW-NIRS) can be used to measure cerebral activity because it is noninvasive, simple and portable. However, the performance of the CW-NIRS is distorted by the presence of extracerebral layer. Change of optic
Externí odkaz:
https://doaj.org/article/403c4c9bb1d14d5f883584da2410911b
Publikováno v:
Sensors, Vol 22, Iss 17, p 6572 (2022)
A brain-computer interface (BCI) translates a user’s thoughts such as motor imagery (MI) into the control of external devices. However, some people, who are defined as BCI illiteracy, cannot control BCI effectively. The main characteristics of BCI
Externí odkaz:
https://doaj.org/article/92c36811a084404691876d97ed81f65d