- Nonlinear Partial Differential Equations
- Advanced Mathematical Modeling in Engineering
- Differential Equations and Boundary Problems
- Nonlinear Differential Equations Analysis
- Stability and Controllability of Differential Equations
- Differential Equations and Numerical Methods
- Advanced Mathematical Physics Problems
- Mathematical and Theoretical Epidemiology and Ecology Models
- Advanced oxidation water treatment
- Advanced Photocatalysis Techniques
- Numerical methods in inverse problems
- Spectral Theory in Mathematical Physics
- Mathematical Biology Tumor Growth
- Catalytic Processes in Materials Science
- Advanced Decision-Making Techniques
- Microbial Metabolites in Food Biotechnology
- Nanomaterials for catalytic reactions
- Nonlinear Dynamics and Pattern Formation
- Evolution and Genetic Dynamics
- Fluid Dynamics and Thin Films
- Solidification and crystal growth phenomena
- Iterative Learning Control Systems
- Evaluation and Optimization Models
- Hydrocarbon exploration and reservoir analysis
- Structural Analysis and Optimization
Tianjin University
2023-2025
Nankai University
2024-2025
State Key Laboratory of Medicinal Chemical Biology
2024-2025
Xinjiang Agricultural University
2025
Second Artillery General Hospital of Chinese People's Liberation Army
2024
Jiangsu University
2023-2024
Fujian Agriculture and Forestry University
2023-2024
Xidian University
2024
Beijing University of Technology
2023
Jingdezhen Ceramic Institute
2007-2023
Climate change has a profound impact on the phenology and growth of vegetation, which in turn influences distribution behavior animal communities, including prey species. This dynamic shift significantly affects predator survival activities. study utilizes MaxEnt model to explore how climate impacts North China leopard (Panthera pardus japonensis) Ziwuling region Gansu Province, China. As an endemic subspecies apex predator, is vital for maintaining structure function local ecosystems....
In this paper, a nonlocal initial value problem to p-Laplacian equation on time scales is studied. The existence of solutions for such obtained by using the topological degree method.
Early and accurate detection of network intrusions is crucial to ensure security stability. Existing intrusion methods mainly use conventional machine learning or deep technology classify based on the statistical features flows. The feature extraction relies expert experience cannot be performed until end flows, which delays detection. existing graph-based require global traffic construct communication graphs, complex time-consuming. Besides, learning-based resort massive training samples....
Although significant progress has been achieved in characterizing marine shale reservoirs, studies that are associated with marine-continental particularly quantitative characterizations of pore–fracture, remain rare. In this study, 12 black organic-rich samples were collected from seven wells recently drilled the Upper Permian Longtan Formation Southern Sichuan Basin southern China. X-ray diffraction revealed clay minerals most prevalent component shale, followed by quartz and calcite....
The development of convolutional neural networks has promoted the progress computer-aided diagnostic systems. Details in medical image, such as texture and tissue structure, are crucial features for diagnosis. Therefore, large input images combined with deep convolution adopted to boost performance recent research chest X-ray Meanwhile, due variable sizes thoracic diseases, many researchers have worked introduce additional module capture multi-scale feature CNN. However, these efforts hardly...
Active sites on a catalyst surface play an overwhelming role in reactive oxygen species production advanced oxidation processes. However, the possible interaction among different active for oxidant activation was ignored, leading to inaccurate understanding of contribution. Herein, C═C and C═O were constructed by lignin pyrolysis KOH/KBH4 modification investigation interactions peroxomonosulfate (PMS) activation. Indispensable synergy found between LG-KOH-300 surface, which catalytic...
Temporal action localization is a challenging task in computer vision, and it tries to find the start time end of actions predict their categories. However, compared temporal localization, weakly supervised (WTAL) more due its poor annotations. With only video-level annotation, some background frames, similar actions, would be classified as produce inaccurate results. In addition, two-stream fusion problem, ignored previously, also needs further considered. To resolve these issues, we...