A5057314929- Landslides and related hazards
- Hydrology and Sediment Transport Processes
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Cryospheric studies and observations
- Sleep and related disorders
- Corporate Taxation and Avoidance
- Winter Sports Injuries and Performance
- Neonatal and fetal brain pathology
- Corporate Finance and Governance
- ECG Monitoring and Analysis
- Sleep and Wakefulness Research
- Epilepsy research and treatment
- Auditing, Earnings Management, Governance
Sichuan University
2020-2024
Xijing University
2022
State Key Laboratory of Hydraulics and Mountain River Engineering
2020
China Three Gorges Corporation (China)
2020
Epilepsy is the second most common disease of nervous system. Because its high disability rate and long course disease, it a worldwide medical problem social public health problem. Therefore, timely detection treatment epilepsy are very important. Currently, professionals use their own diagnostic experience to identify seizures by visual inspection electroencephalogram (EEG). Not only does require lot time effort, but process also cumbersome. Machine learning-based methods have recently been...
Depression (DP) and schizophrenia (SCZ) are both highly prevalent psychiatric disorders, their diagnosis depends on the examination of symptoms clinical tests, which can be subjective. As a measure real-time neural activity, Electroencephalographic (EEG) has shown its usability to classify people either as normal or having DP SCZ, but automatic classification between three categories (DP, SCZ normal) was rarely reported. Here, we propose an diagnostic framework based convolutional network...
Background Subclinical insomnia (sINSO) represents an early stage of but lacks effective biomarkers for its recognition. The electroencephalogram(EEG) microstates, reflecting brain network dynamics, may provide potential by comparing resting-state EEG parameters between sINSO patients and healthy controls.
The effectiveness of the performance independent directors has always been an important issue in field corporate governance. Taking A-share listed companies from 2015 to 2019 as samples, this paper uses STATA15.0 software establish a linear regression model, conducts panel fixed effect analysis, adds propensity score matching method (PSM) improve robustness and empirical study on whether regulatory inquiry system good external governance responsibilities companies. main results show that...