Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Xiashuang Wang"'
Publikováno v:
npj Science of Learning, Vol 8, Iss 1, Pp 1-13 (2023)
Abstract The neural basis for long-term behavioral improvements resulting from multi-session transcranial direct current stimulation (tDCS) combined with working memory training (WMT) remains unclear. In this study, we used task-related electroenceph
Externí odkaz:
https://doaj.org/article/bfaae03013b347aa87575803c794c9b8
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Intelligent recognition methods for classifying non-stationary and non-invasive epileptic diagnoses are essential tools in neurological research. Electroencephalogram (EEG) signals exhibit better temporal characteristics in the detection of
Externí odkaz:
https://doaj.org/article/77973847029f454f8ccab884bc5ffe2b
Autor:
Hongmei Li, Fenfang Wu, Guangrui Huang, Di Wu, Ting Wang, Xiashuang Wang, Kai Wang, Yuyin Feng, Anlong Xu
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 7, Iss 1, Pp 1-17 (2022)
Abstract Recent studies have suggested that transplant of hiPS-CMs is a promising approach for treating heart failure. However, the optimally clinical benefits have been hampered by the immature nature of the hiPS-CMs, and the hiPS-CMs-secreted prote
Externí odkaz:
https://doaj.org/article/412684d99061499fa5d90b956b7cff6b
Publikováno v:
Medicine in Novel Technology and Devices, Vol 5, Iss , Pp - (2020)
This study explored the use of multi-physiological signals and simultaneously recorded high-density electroencephalography (EEG), electrocardiogram (ECG), and eye movements to better understand pilots’ cognitive behaviour during flight simulator ma
Externí odkaz:
https://doaj.org/article/1f23fc2bc7da4a5fa4ece96e560a3d34
Publikováno v:
Frontiers in Human Neuroscience, Vol 13 (2019)
In the automatic detection of epileptic seizures, the monitoring of critically ill patients with time varying EEG signals is an essential procedure in intensive care units. There is an increasing interest in using EEG analysis to detect seizure, and
Externí odkaz:
https://doaj.org/article/dde4f57968d24f978776b914a18bdab1
Publikováno v:
Sensors, Vol 19, Iss 2, p 219 (2019)
Automatic recognition methods for non-stationary electroencephalogram (EEG) data collected from EEG sensors play an essential role in neurological detection. The integrated approaches proposed in this study consist of Symlet wavelet processing, a gra
Externí odkaz:
https://doaj.org/article/268657ce8b9949e7ba7d9bd0a03b92df
Publikováno v:
Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence.
Autor:
Jing Yang, Huabiao Chen, Hao Wang, Ping Bai, Chongzhao Ran, Zude Chen, Yulong Xu, Robin Striar, Xiashuang Wang, Bo Xiang, Xiaoshuang Yang, Hong Li, Robert E. Koegel, Gengyang Yuan, Daniela R. Bernales, Qi Cao, Stephanie A. Fiedler, Changning Wang, Tao Li, Yu Yang
Publikováno v:
European Journal of Nuclear Medicine and Molecular Imaging. 48:53-66
Castration-resistant prostate cancer (CRPC) is the most common cause of death in men. The effectiveness of HDAC inhibitors has been demonstrated by preclinical models, but not in clinical studies, probably due to the ineffectively accumulation of HDA
Publikováno v:
Journal of Simulation. 16:182-193
A scheduling algorithm is crucial for running a simulation model so that tasks can be performed efficiently.The traditionally used blade-based parallel engine system cannot be adapted to a new simu...