A5006255349- Market Dynamics and Volatility
- Energy Load and Power Forecasting
- Financial Risk and Volatility Modeling
- Stock Market Forecasting Methods
- Financial Markets and Investment Strategies
- Monetary Policy and Economic Impact
- Iterative Learning Control Systems
- Vibration and Dynamic Analysis
- Grey System Theory Applications
- Energy, Environment, Economic Growth
- Capital Investment and Risk Analysis
- Magnetic Bearings and Levitation Dynamics
- Animal Disease Management and Epidemiology
- Medical Imaging and Analysis
- Electric Motor Design and Analysis
- Dental Radiography and Imaging
- Global trade and economics
- Forecasting Techniques and Applications
- Piezoelectric Actuators and Control
- Metallurgy and Material Forming
- Spinal Fractures and Fixation Techniques
- China's Socioeconomic Reforms and Governance
- Drilling and Well Engineering
- Magnetic and Electromagnetic Effects
- Complex Systems and Time Series Analysis
Huazhong Agricultural University
2014-2025
Guizhou Provincial People's Hospital
2024-2025
Wuhan Textile University
2021-2025
Guiyang Medical University
2025
Renmin University of China
2023-2024
Wuhan Institute of Technology
2017-2024
Hunan First Normal University
2024
Sichuan University
2024
Shanxi University
2023
Tianjin University
2023
Multi-step-ahead time series prediction is one of the most challenging research topics in field modeling and prediction, continually under research. Recently, multiple-input several multiple-outputs (MISMO) strategy has been proposed as a promising alternative for multi-step-ahead exhibiting advantages compared with two currently dominating strategies, iterated direct strategies. Built on established MISMO strategy, this study proposes particle swarm optimization (PSO)-based which capable...
Electricity load forecasting is an important issue that widely explored and examined in power systems operation literature commercial transactions electricity markets as well. Among the existing models, support vector regression (SVR) has gained much attention. Considering performance of SVR highly depends on its parameters; this study proposed a firefly algorithm (FA) based memetic (FA‐MA) to appropriately determine parameters model. In FA‐MA algorithm, FA applied explore solution space,...
ABSTRACT This study investigates the characteristics of traders' overreaction behaviour in China's soybean and corn futures markets to overnight performance U.S. examines impacts night trading policy on such behaviour. Our results reveal that traders China generally overreact markets' performance, but diminishes when have enough time calm their emotions. We also find introduction implemented by exchanges significantly reduces daytime because extension hours ensures unexpected information is...
Abstract Agricultural water pollution from the livestock industry is a growing concern in China and globally. Since 2014, classified eight urban provinces southeast as development control zone (DCZ), which prohibits new hog facility construction encourages farms to relocate other regions. Leveraging synthetic difference‐in‐differences (SDID), we systematically analyze impacts of such place‐based regulations on pollution, especially revealing heterogenous responses. Our results show that,...
Cropland abandonment has significant implications for sustainable agricultural development. Whether subsidies can reduce cropland is correlated with China’s food security. Relying on the China Labor-force Dynamics Survey (CLDS) data and two-way fixed effects model, this study investigates of its influence mechanism. The results demonstrate that effectively abandonment, which robust after robustness endogeneity tests. Mechanism analysis indicates inhibit by incentivizing farmers to increase...
Identifying the incidence and risk factors of Glioblastoma (GBM) establishing effective predictive models will benefit management these patients. Using GBM data from Surveillance, Epidemiology, End Results (SEER) database, we used Joinpoint software to assess trends in across populations different age groups. Subsequently, identified important prognostic by stepwise regression multivariate Cox analysis, established a Nomogram mathematical model. COX model combined with restricted cubic...
ABSTRACT Promoting sustainable, innovation‐driven growth is crucial for achieving high‐quality economic development in the new era. As a key indicator of companies' sustainability, ESG practices have gained significant attention. However, lack unified evaluation framework and standardized disclosure regulations has led some companies to exaggerate or misrepresent their performance—an issue known as “ESG decoupling.” This study examines impact decoupling on agri‐food innovation, using panel...