A5001203708- Rough Sets and Fuzzy Logic
- Matrix Theory and Algorithms
- Mathematical Inequalities and Applications
- Advanced Optimization Algorithms Research
- Power Systems and Technologies
- Power Systems and Renewable Energy
- Climate change and permafrost
- EEG and Brain-Computer Interfaces
- Advanced Algebra and Logic
- Advanced Computational Techniques and Applications
- Smart Grid and Power Systems
- Cryospheric studies and observations
- Fuzzy Logic and Control Systems
- Multi-Criteria Decision Making
- Advanced Decision-Making Techniques
- Gout, Hyperuricemia, Uric Acid
- Forecasting Techniques and Applications
- Digital Imaging for Blood Diseases
- Natural Language Processing Techniques
- Digital Image Processing Techniques
- Stability and Controllability of Differential Equations
- Emotion and Mood Recognition
- Cancer survivorship and care
- Geology and Paleoclimatology Research
- Point processes and geometric inequalities
Guangdong Polytechnic Normal University
2009-2025
First Affiliated Hospital of Nanchang University
2025
Nanchang University
2025
North University of China
2025
First Affiliated Hospital of GuangXi Medical University
2024
Guangxi Medical University
2024
Hebei Normal University
2024
North Carolina State University
2020
Harbin Institute of Technology
2005-2018
South China Normal University
2006-2018
Objective To use data from the Global Burden of Disease (GBD) Study 2019 to report global, regional and national rates trends annual incidence, point prevalence years lived with disability (YLD) for gout in adolescents young adults aged 15–39 years. Methods We conducted a serial cross-sectional study burden population using GBD 2019. extracted per 100 000 YLD gout, then calculated their average percentage changes (AAPCs) at level between 1990 by sociodemographic index (SDI). Results The...
The evolution of ecological pattern caused by human activities has altered the terrestrial carbon cycle process, and it is important to explore systematic approaches study relationship between sequestration function within regions. From new perspective pattern-process-function in landscape ecology, this couples NPP-InVEST, GeoDa, MOP-PLUS, GeoDetector models construct a conceptual cascade framework "Land use pattern-Evolution process-Carbon function" (LEC), which provides epistemology...
Gastric cancer (GC) families as a whole face the stressful time of together, and quality life (QoL) both patient caregiver can be affected. Most past researchers have focused on QoL GC patients, but neglected role that caregivers play in treatment process. The purpose this study was to examine factors influencing patients their family caregivers, compare interactions similarities differences between two influences, construct conceptual model influences based results study. This descriptive...
Background: Mental health issues are increasingly prominent worldwide, posing significant threats to patients and deeply affecting their families social relationships. Traditional diagnostic methods subjective delayed, indicating the need for an objective effective early diagnosis method. Methods: To this end, paper proposes a lightweight detection method multi-mental disorders with fewer data sources, aiming improve procedures enable patient detection. First, proposed takes...
Emotion recognition is an advanced technology for understanding human behavior and psychological states, with extensive applications mental health monitoring, human–computer interaction, affective computing. Based on electroencephalography (EEG), the biomedical signals naturally generated by brain, this work proposes a resource-efficient multi-entropy fusion method classifying emotional states. First, Discrete Wavelet Transform (DWT) applied to extract five brain rhythms, i.e., delta, theta,...
In Chuanming Zong’s program to attack Hadwiger’s covering conjecture, which is a long-standing open problem from convex and discrete geometry, the construction of ε-nets for space bodies endowed with Banach–Mazur metric plays crucial role. Recently, Gao et al. provided possible way constructing Kn,dBM based on finite subsets Zn theoretically. this work, we present an algorithm construct K2,dBM (1/4)-net C2,dBM constructed. To best our knowledge, first concrete ε-net such small ε.
Abstract Accurate clinical diagnosis of the stage tumor development is essential for formulating a treatment plan. However, tongue among malignant, benign and leukoplakia easily misdiagnosed, resulting differing approaches, taking patients in danger preventing them from receiving deserved care. This study aimed to establish an automatic recognition system tumors at different stages using artificial intelligence methods along with pathological tissue section images. By improving Swin...
In this article, we present some new two-sided bounds for the determinant of diagonally dominant matrices. particular, idea preconditioning technique is applied to obtain bounds. MS Classification: 65F10; 15A15.
In this paper we consider the solvability of matrix equations , with respect to semi-tensor product. Using concept product which was initially proposed by Cheng et al. [An introduction Semi-Tensor matrices and its applications, World Scientific, 2012], firstly investigate matrix–vector under product, establish some compatible conditions for matrices, propose a necessary sufficient condition equation. We then explore Some elementary examples are given show efficiency results.
Traditional ear disease diagnosis heavily depends on experienced specialists and specialized equipment, frequently resulting in misdiagnoses, treatment delays, financial burdens for some patients. Utilizing deep learning models efficient has proven effective affordable. However, existing research overlooked model inference speed parameter size required deployment. To tackle these challenges, we constructed a large-scale dataset comprising eight categories normal canal samples from two...
Objective At present, the structure of knowledge in field childhood thyroid cancer is not clear enough, and scholars lack a sufficient understanding developing trends this field, which has led to shortage forward-looking outputs. The purpose research help construct complete framework identify current challenges, opportunities, development trends. Methods We searched literature Web Science Core Collection database on August 7, 2023 extracted key information from top 100 most cited articles,...
Short-cycle agricultural product sales forecasting significantly reduces food waste by accurately predicting demand, ensuring producers match supply with consumer needs. However, the is often subject to uncertain factors, resulting in highly volatile and discontinuous data. To address this, a hierarchical prediction model that combines RF-XGBoost proposed this work. It adopts Random Forest (RF) first layer extract residuals achieve initial results based on correlation features from Grey...
Based on financial information of listed manufacturing companies, the research aims at predicting distress using integrated model factor analysis and discriminant to establish model, tests prediction accuracy model. The results show that in this paper has higher precision, it makes further explanation choice ratios is very successful. Meanwhile, predicted confirm closer time distress, more accurate effect.
In this paper, a Divide-and-Cooperate Machine Learning Model (DCML) based Radial Basis Function Network (RBF) is constructed. This DCML composed of several sub-RBF networks that take some variables as their inputs. The output the sum networks' outputs. analysis VC dimension shows in theory its structural complexity less than conventional Extended (ENRBF). experimental results have verified outperforms ENRBF.