A5110668317- Solar and Space Plasma Dynamics
- Ionosphere and magnetosphere dynamics
- Geophysics and Gravity Measurements
- Geomagnetism and Paleomagnetism Studies
- Machine Learning in Materials Science
- Electrocatalysts for Energy Conversion
- Catalytic Processes in Materials Science
- 2D Materials and Applications
- Silicon Carbide Semiconductor Technologies
- Artificial Intelligence in Healthcare
- Diverse Aspects of Tourism Research
- Heavy metals in environment
- Semiconductor materials and devices
- Olfactory and Sensory Function Studies
- Color perception and design
- Urban Green Space and Health
- Computational Physics and Python Applications
- Mine drainage and remediation techniques
- Mining and Resource Management
- Copper Interconnects and Reliability
- Quantum Dots Synthesis And Properties
- CO2 Reduction Techniques and Catalysts
Xi'an Jiaotong University
2025
Fujian Agriculture and Forestry University
2024
Chinese Academy of Sciences
2021
Institute of Earth Environment
2021
Promoting positive emotional experiences for tourists is crucial sustaining development in rural areas. However, existing research has limited focus on the built environment, particularly developing a framework to evaluate environmental sentiment small medium scale with detailed indicators. This study addresses this gap by examining impact of environment tourists' emotions. Natural Language Processing (NLP) technologies are employed analyze web text data and determine average index...
Transition metal dichalcogenides (TMDs) are widely used in semiconductor materials, lubricants, catalysts, and various other applications due to their exceptional physical chemical properties. During the vapor deposition growth process of TMDs, triangular or hexagonal domains can be generated under appropriate conditions, TMDs may also exhibit fractal manifest diverse morphologies, such as irregular fractals, dendrites, semicompact structures. In order thoroughly investigate phenomenon...
This study employed an in-depth analysis of the landscape spatial suitability, experience and its impact on natural history heritage sites in Quanzhou City. was achieved by combining machine learning models hotspot methods such as BERT, HRnet, Matlab LightGBM. The intrinsic correlation between perception tourists' emotions about suitability City explored. different elements sentiments towards landscapes at historical further derived through SHAP interpretability analysis. Based this...
Along with the economic development, people's material living standards have gradually improved and pace of life has become faster. The pressure work study brought unhealthy lifestyle to many people. Habits due stress such as alcoholism, overeating, staying up late caused more people contract liver diseases. This article studies how use mathematical modeling predict whether a person disease through various data. Our data comes from patients in North East Andhra Pradesh, India. 583 recorded...