A5100368258- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neurological Disease Mechanisms and Treatments
- Sentiment Analysis and Opinion Mining
- Mental Health via Writing
- Neural dynamics and brain function
- Digital Mental Health Interventions
- Advanced MRI Techniques and Applications
- Acupuncture Treatment Research Studies
- Vehicle Routing Optimization Methods
- Innovation Diffusion and Forecasting
- Advanced Neuroimaging Techniques and Applications
- scientometrics and bibliometrics research
- Neurological Disorders and Treatments
- Scheduling and Timetabling Solutions
- Assembly Line Balancing Optimization
- Hepatitis C virus research
- Hepatitis B Virus Studies
- Hepatitis Viruses Studies and Epidemiology
Shanghai University of Traditional Chinese Medicine
2024
Mayo Clinic in Arizona
2023
University of Washington
2023
Medical College of Wisconsin
2019-2021
The First Affiliated Hospital, Sun Yat-sen University
2021
Sun Yat-sen University
2021
KU Leuven
2020
Abstract Resting‐state fMRI has shown the ability to predict task activation on an individual basis by using a general linear model (GLM) map resting‐state network features z ‐scores. The question remains whether relatively simplistic GLM is best approach accomplish this prediction. In study, several regression‐based machine‐learning approaches were compared, including GLMs, feed‐forward neural networks, and random forest bootstrap aggregation (bagging). data from 350 Human Connectome...
Depression is a widespread mental health issue, affecting an estimated 3.8% of the global population. It also one main contributors to disability worldwide. Recently it becoming popular for individuals use social media platforms (e.g., Reddit) express their difficulties and issues depression) seek support from other users in online communities. opens great opportunities automatically identify with depression by parsing millions posts potential interventions. Deep learning methods have begun...
Depression is a widespread mental health issue, affecting an estimated 3.8% of the global population. It also one main contributors to disability worldwide. Recently it becoming popular for individuals use social media platforms (e.g., Reddit) express their difficulties and issues depression) seek support from other users in online communities. opens great opportunities automatically identify with depression by parsing millions posts potential interventions. Deep learning methods have begun...
Abstract Background Epilepsy was defined as an abnormal brain network model disease in the latest definition. From a microscopic perspective, it is also particularly important to observe Mutual Information (MI) of whole based on different lead positions. Methods In this study, we selected EEG data from representative temporal lobe and frontal epilepsy patients. Based Phase Space Reconstruction calculation MI indicator, used Complex Network technology construct dynamic function seizure. At...
Patents, as a vital tool in open innovation, play significant role enabling enterprises to access and utilize external resources, thereby enhancing their competitive advantage. This paper uses Huawei case study, employing patent metrics social network analysis methods examine the evolution characteristics attributes of Huawei’s collaboration network. The analysis, based on authorized data from Incopat database, explores mode. study aims provide insights guidance for Chinese development...
The personnel rostering problem is the of finding an optimal way to assign employees shifts, subject a set hard constraints which all valid solutions must follow, and soft define relative quality solutions. has received significant attention in literature addressed by large number exact metaheuristic methods. In order make complex costly design heuristics for automatic, we propose new method combined Deep Neural Network Tree Search. By treating schedules as matrices, neural network can...