A5084272017- Advanced Thermoelectric Materials and Devices
- Thermal Radiation and Cooling Technologies
- Building Energy and Comfort Optimization
- Wind and Air Flow Studies
- Thermal properties of materials
- Heat Transfer and Optimization
- Solar Energy Systems and Technologies
- Quantum Chromodynamics and Particle Interactions
- Aerodynamics and Fluid Dynamics Research
- Particle physics theoretical and experimental studies
- Innovative Energy Harvesting Technologies
- Earthquake Detection and Analysis
- earthquake and tectonic studies
- Energy Harvesting in Wireless Networks
- Urban Heat Island Mitigation
- Air Quality and Health Impacts
- Fluid Dynamics and Thin Films
- Black Holes and Theoretical Physics
- Solar Thermal and Photovoltaic Systems
- Heat Transfer and Boiling Studies
- Geothermal Energy Systems and Applications
- Seismic Performance and Analysis
- Structural Health Monitoring Techniques
- Nanomaterials and Printing Technologies
- Heat Transfer Mechanisms
Zhejiang University
2022-2025
Stomatology Hospital
2022-2025
North Minzu University
2024-2025
Sanya University
2023-2024
Wuhan University of Technology
2019-2024
China Electronics Technology Group Corporation
2024
Minzu University of China
2023
Virginia Tech
2015-2022
University of North Texas
2019
National Earthquake Response Support Service
2009-2017
Safety is the most important issue in development of nuclear energy. This paper reports experimental studies a thermoelectric energy harvesting system designed for integration power plant capable performing radiation rich environments and producing enough to run wireless sensors meant increase safety. Furthermore, system, which utilizes wasted heat present coolant piping, has unique ability provide both normal accidental situations, without need external power. Two prototypes were utilizing...
<title>Abstract</title> <bold>Background</bold> Orthodontically induced root resorption (OIRR) is difficult to assess accurately using traditional 2D imaging due distortion and low sensitivity. While CBCT offers more precise 3D evaluation, manual segmentation remains labor-intensive prone variability. Recent advances in deep learning enable automatic, accurate tooth from images. This study applies technology quantify OIRR analyze its risk factors, aiming improve assessment accuracy,...