A5081268667- Optical Imaging and Spectroscopy Techniques
- Advanced Nanomaterials in Catalysis
- Photoacoustic and Ultrasonic Imaging
- Polyoxometalates: Synthesis and Applications
- Functional Brain Connectivity Studies
- Building Energy and Comfort Optimization
- Energy, Environment, Economic Growth
- Mental Health Research Topics
- Metal-Organic Frameworks: Synthesis and Applications
- Multimodal Machine Learning Applications
- Geomechanics and Mining Engineering
- Remote Sensing in Agriculture
- Adsorption and biosorption for pollutant removal
- Aerogels and thermal insulation
- Emotion and Mood Recognition
- Climate Change and Health Impacts
- Supercapacitor Materials and Fabrication
- Water Quality Monitoring and Analysis
- Religious Studies and Spiritual Practices
- Spectroscopy and Chemometric Analyses
- Cloud Computing and Resource Management
- Non-Invasive Vital Sign Monitoring
- Advanced Causal Inference Techniques
- Scientific Computing and Data Management
- Advanced Photocatalysis Techniques
Southwest Minzu University
2024-2025
State Ethnic Affairs Commission
2024-2025
Nanyang Normal University
2023-2024
University of Notre Dame
2021-2022
Yunnan Normal University
2021-2022
Kunming University
2018
National Cancer Institute
2015
Division of Cancer Epidemiology and Genetics
2015
Beijing City University
2005
Summary Matched case-control studies are popular designs used in epidemiology for assessing the effects of exposures on binary traits. Modern increasingly enjoy ability to examine a large number comprehensive manner. However, several risk factors often tend be related nontrivial way, undermining efforts identify using standard analytic methods due inflated type-I errors and possible masking effects. Epidemiologists use data reduction techniques by grouping prognostic thematic approach, with...
We propose to use neural networks learn and replace Monte Carlo (MC) simulations. Our are not only convenient but also shown be extremely time-saving compared MC simulations with comparable accuracy. Furthermore, we employ the machine learning method called transfer perform calibration between simulated diffuse reflectance that measured by Diffuse Reflectance Spectroscopy (DRS). The model is able predict DRS spectrum training using a small amount of data.
To improve water vapor adsorption, this study employed oxalic acid–ethyl acetate acidic hydrolysis to modify honeycomb activated carbon and introduce hydrophilic functional groups. Scanning electron microscopy (SEM), Boehm titration, Fourier transform infrared spectroscopy (FT-IR), an automatic surface area analyzer (BET) were used characterize the microscopic morphology, groups, specific area, pore size changes. The results showed that, when concentration of acid is 0.0006 mol/cm3, 179.06...
A multiobjective optimization model for energy‐saving design of green buildings is established by considering the two key indicators (energy efficiency and comfort) that are important buildings. Using energy consumption simulation software EnergyPlus to evaluate fitness value individuals, a evolutionary algorithm based on decomposition used optimize above model. its execution method proposed building efficiency, which integrates EnergyPlus. Taking common multiroom residential in northern...
In diffuse optical spectroscopy, the retrieval of properties a target requires inversion measured reflectance spectrum. This is typically achieved through use forward models such as diffusion theory or Monte Carlo simulations, which are iteratively applied to optimize reconstruction parameters. this paper, we propose novel neural network-based approach for solving inverse problem, and establish its performance using experimentally data from previously reported phantom study. Our model was...
In social science, ritual is a concept often used, especially in religion study.But we have not successful definition of yet.This means can distinguish it from normal behavior.Many anthropologists endeavored to define ritual, while they all failed because lacked an adequate theory action.Belief new general science.Basing on it, attempt make clear.
Our work applies neutral networks to solving forward and inverse problems in diffuse reflectance spectroscopy. Firstly, a neural network model is trained with Monte Carlo data so as predict from given optical parameters. Secondly, an based on the built solve for parameters reflectance, modified traditional Carlo-based model. Validation of our experimentally measured phantom investigated.
Based on the co-integration analysis and causal relationship, this paper discusses relationship between economic growth energy consumption, then combined with case analysis, puts forward effective measures for future social development consumption.