- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Atomic and Subatomic Physics Research
- Particle Detector Development and Performance
- Medical Imaging Techniques and Applications
- Computational Physics and Python Applications
- Nuclear physics research studies
- Particle Accelerators and Free-Electron Lasers
- Advanced Manufacturing and Logistics Optimization
- Scientific Research and Discoveries
- Cosmology and Gravitation Theories
- 3D Modeling in Geospatial Applications
- Underground infrastructure and sustainability
- Distributed and Parallel Computing Systems
- Biomedical and Engineering Education
- Genetic Associations and Epidemiology
- Evacuation and Crowd Dynamics
- Legal Education and Practice Innovations
- Geotechnical Engineering and Soil Stabilization
- Spectral Theory in Mathematical Physics
- Hydrogen Storage and Materials
Nanjing Normal University
2016-2025
First Affiliated Hospital of Jiangxi Medical College
2025
Nanchang University
2025
Yunnan University
2023-2025
Southeast University
2024
Nanjing University of Information Science and Technology
2024
Institute of High Energy Physics
2017-2023
Xinyang Normal University
2023
University of Hawaiʻi at Mānoa
2023
University of Hawaii System
2023
To explore the causal relationship between physical activity (PA) and progression of Parkinson's disease (PD), we conducted a two-sample Mendelian randomization (MR) analysis. Genetic variants were obtained from publicly available genome-wide association study (GWAS) summary statistics for PA (N = 377,000), age at onset 28,568), PD 4093). Causal estimates calculated using inverse variance weighted (IVW) method, with MR-Egger median analyses performed to assess robustness results. Genetically...
Abstract: The deepest area of the continental shelf is located at Drygalski Trough, western Ross Sea, with a water depth over 1,100 m. Sedimentation in Trough mainly controlled by past East Antarctic Ice Sheet (EAIS). Previous studies discussed sediment facies and sedimentary environments, but analysis source provenance poor, transport dynamics post-transport processes are not clearly, correspondence between events paleoclimate changes still needs to be explored. We analyzed grain size, XRF,...
For some Internet platforms, their growth will often focus on one or two core areas and deep plowing, due to the changes in mainstream form of entertainment caused by increase loss old users decrease new users, it is inevitable go into depression. However, with development times, change forms, inevitably heading towards a In midst this, B-station has tried succeeded its goal breaking through circle, this successful experience worth studying. Based annual report website B, business model...
Abstract We introduce LGSur‐Net, an end‐to‐end deep learning architecture, engineered for the upsampling of sparse point clouds. LGSur‐Net harnesses a trainable Gaussian local representation by positioning series functions on oriented plane, complemented optimization individual covariance matrices. The integration parametric factors allows encoding plane's rotational dynamics and weightings into linear transformation matrix. Then we extract feature maps from cloud its adjoining edges learn...
As a crucial form of public transportation, subways are becoming essential infrastructure that cities in China increasingly prioritize for development. However, there is lack effective risk assessment methods subway station and line siting. To address this gap, paper uses the system Kunming, China, as case study, establishing site evaluation framework (SIRE-BAF) integrates three dimensions: balance (B), attractiveness (A), financing mode (F). An extended NP-RV model proposed to assess (or...
Large Language Models (LLMs) and Reinforcement Learning (RL) are two powerful approaches for building autonomous agents. However, due to limited understanding of the game environment, agents often resort inefficient exploration trial-and-error, struggling develop long-term strategies or make decisions. We propose a method that extracts experience from interaction records model underlying laws using these as internal motivation guide These experience, expressed in language, highly flexible...
In biology and fishery research, accurate prediction of the age abalone helps to deeply understand life characteristics provides a basis for scientific culture. The traditional method is infer by observing number annual rings on shell abalone, which widely used but has great limitations in accuracy operability due influence individual differences environmental factors. This study aims provide more efficient using machine learning techniques combined with Shapley's additive explanatory model...
The distributed energy system becomes increasing popular in recent years because it can realize the cascade utilization of primary and integrate with renewable energy, which is efficient environment-friendly. Thermal storage supplement absorption chillers or boilers to utilize surplus cooling heating so that efficiency be improved.This study investigates feasibility integrated thermal systems hot summer cold winter areas.The economic performance evaluated compared without system.The impacts...