A5018542086- Water resources management and optimization
- Water Systems and Optimization
- Electric Power System Optimization
- Hydrological Forecasting Using AI
- Water-Energy-Food Nexus Studies
- Energy Load and Power Forecasting
- Rock Mechanics and Modeling
- Landslides and related hazards
- Machine Learning and ELM
- Ruminant Nutrition and Digestive Physiology
- Hydrology and Watershed Management Studies
- Tunneling and Rock Mechanics
- Geophysical Methods and Applications
- Metaheuristic Optimization Algorithms Research
- Reproductive Physiology in Livestock
- Reservoir Engineering and Simulation Methods
- Advanced Multi-Objective Optimization Algorithms
- Integrated Energy Systems Optimization
- Genetic and phenotypic traits in livestock
- Geoscience and Mining Technology
- Water Quality Monitoring Technologies
- Nitrogen and Sulfur Effects on Brassica
- Analytical Chemistry and Chromatography
- Adaptive Control of Nonlinear Systems
- Vehicle Dynamics and Control Systems
China Agricultural University
2014-2025
Changjiang Water Resources Commission
2017-2025
Hebei University of Technology
2024-2025
National Research Center for Rehabilitation Technical Aids
2025
Beijing Ditan Hospital
2025
Capital Medical University
2025
First Teaching Hospital of Tianjin University of Traditional Chinese Medicine
2022-2025
Northeastern University
2018-2024
Shanxi Medical University
2024
Guangdong Academy of Medical Sciences
2024
Resveratrol (RES), a natural polyphenolic compound, has shown promise in enhancing skeletal muscle regeneration and metabolic function. This study aims to explore the impact of RES on after injury through regulation antioxidant capacity mitochondrial biogenesis. treatment significantly increased ratio tibialis anterior mass body weight, alongside reduced fasting glucose levels. Following cardiotoxin-induced injury, improved regeneration, characterized by greater formation new fibers better...
Operation rule plays an important role in the scientific management of hydropower reservoirs, because a scientifically sound operating can help operators make approximately optimal decision with limited runoff prediction information. In past decades, various effective methods have been developed by researchers all over world, but there are few publications evaluating performances different deriving reservoir operation rule. To achieve satisfying scheduling process triggered streamflow data,...
Accurate hydrologic time-series prediction plays an important role in modern water resource planning, supply management, environmental protection, and power system operation. In general, single-layer feedforward networks (SLFNs) can provide satisfactory forecasting results, but classical gradient-based learning algorithms are time consuming easily trapped into local optimums. As a new training method for SLFNs, extreme machine (ELM) has faster speed stronger nonlinear mapping than...
Accurate annual runoff prediction plays an important role in modern water resources planning and management. Here, a hybrid model using evolutionary extreme learning machine variational mode decomposition (VMD) is developed to forecast time series. In the proposed method, VMD method first used decompose original streamflow into series of disjoint subcomponents; second, each subcomponent forecasted by constructing appropriate while gravitational search algorithm adopted tune parameters;...