A5036599911- Water Quality Monitoring and Analysis
- Electrochemical Analysis and Applications
- Spectroscopy and Chemometric Analyses
- Analytical Chemistry and Sensors
- Advanced Chemical Sensor Technologies
- Resilience and Mental Health
- Physical Activity and Health
- Mass Spectrometry Techniques and Applications
- COVID-19 and Mental Health
- Analytical chemistry methods development
- Metabolomics and Mass Spectrometry Studies
- Water Quality Monitoring Technologies
- Grit, Self-Efficacy, and Motivation
- Image and Signal Denoising Methods
- Electrochemical sensors and biosensors
- Electrohydrodynamics and Fluid Dynamics
- Electrowetting and Microfluidic Technologies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Health and Wellbeing Research
- Psychosocial Factors Impacting Youth
- Erythrocyte Function and Pathophysiology
Beijing Normal University
1985-2025
Shaoyang University
2018-2024
Central South University
2018-2022
Washington University in St. Louis
2021
The mental health of college students has become a key focus in higher education, and physical activity may play crucial role promoting positive psychology among students. This study explores the relationship between self-efficacy analyzes mediating effect psychological resilience to provide theoretical support for intervention strategies. included sample 369 aged 18–25 from Zhuhai Campus Beijing Normal University. International Physical Activity Questionnaire-Short Form (IPAQ-S),...
Membrane proteins participate in a broad range of cellular processes and represent more than 60% drug targets. One approach to their structural analyses is mass spectrometry (MS)-based footprinting including hydrogen/deuterium exchange (HDX), fast photochemical oxidation (FPOP), residue-specific chemical modification. Studying membrane usually requires isolation from the native lipid environment, after which they often become unstable. To overcome this problem, we are pursuing novel...
In zinc hydrometallurgy, the traditional multi-metal ion detection method is manual off-line detection, which cumbersome and has a long period. order to realize simple, real-time, accurate on-line an adaptive signal enhancement algorithm combined with partial least squares regression proposed for of ions by Ultraviolet-visible spectroscopy. First, according different scale characteristics noise in wavelet decomposition, can adaptively set initial threshold, step size, quantization ratio...
In zinc smelting solution, because the concentration of is too high, spectral signals trace copper are masked by zinc, and their overlap, which makes it difficult to detect copper. To solve this problem, a spectrophotometric method based on integrated partition modeling proposed. Firstly, derivative spectra continuous wavelet transform used preprocess signal highlight peak Then, interval select optimal characteristic according root mean square error prediction, wavelength points absorbance...
In order to detect and control the concentration of polymetallic ions in industrial wastewater real time, a spectrophotometric method combining wavelet transform (WT) partial least squares regression (PLSR) is proposed for simultaneous determination zinc, cobalt nickel by ultraviolet-visible spectrometry, without separation step. WT was found be suitable spectral preprocessing, which effectively eliminated noise, enhanced feature information, improved linearity detected increased number...
In the zinc hydrometallurgy, excessive impurity ions of copper and cobalt are very harmful to electrolysis process, which affects product quality wastes resources. order solve problems low sensitivity, severe spectral overlap narrow effective band, an overlapping peak separation algorithm based on multi-objective optimization was proposed for simultaneous detection in high concentration solution by ultraviolet-visible spectroscopy. First, according characteristics signal, derivative...
A novel neural network adaptive filter algorithm is proposed to address the challenge of weak spectral signals and low accuracy in micro-spectrometer detection. This bases on error backpropagation (BP) least mean square (LMS), introduces an innovative BP model incorporating instantaneous function factor optimize learning process. It establishes a relationship through input signal, output step filter, defines training optimization method for this relationship. To validate effectiveness...
In the purification process of zinc hydrometallurgy, spectra copper and cobalt seriously overlap in whole band are interfered with by nickel, which affects detection results solutions. Aiming to address problems low resolution, serious overlap, narrow characteristic wavelengths, a novel spectrophotometric method for robust trace is proposed. First, Haar, Db4, Coif3, Sym3 wavelets used carry out second-order continuous wavelet transform on spectral signals cobalt, improves resolution...
Considering the requirements of miniaturization, integration, digitization and high precision online detection instrument, a miniature spectrometer based on ultraviolet-visible spectroscopy is developed for on-line copper cobalt in purification process zinc hydrometallurgy. Firstly, serial port protocol to realize remote acquisition spectral signal. Then, wavelet threshold denoising method proposed eliminate noise interference caused by circuit system. Next, invariance dual-wavelength light...
In the zinc hydrometallurgical purification process, concentration ratio of ion to trace nickel is as high 105, so that spectral signal completely covered by signal, resulting in low sensitivity and nonlinear characteristics signal. Aiming at problem it difficult detect sulfate solution, this paper proposes a integrated modeling method extended Kalman filter based on Adaboost algorithm. First, non-linear model established standard solution. Second, an wavelength optimization correlation...
Abstract Aiming at the problems of low accuracy and large prediction errors caused by serious overlap multi-metal spectral signals in zinc smelting industrial wastewater, a characteristic interval modeling method is proposed. First, according to absorption spectra mixed solution, intervals copper nickel are preliminarily screened using different partition lengths. Second, take smallest root mean squares error cross validation largest correlation coefficient as evaluation indicators, compare...