A5100728431- Membrane Separation Technologies
- Membrane-based Ion Separation Techniques
- Electrohydrodynamics and Fluid Dynamics
- Wastewater Treatment and Nitrogen Removal
- Solar-Powered Water Purification Methods
- Carbon Dioxide Capture Technologies
- Graphene and Nanomaterials Applications
- Proteins in Food Systems
- Coccidia and coccidiosis research
- Microbial Fuel Cells and Bioremediation
- Coastal and Marine Dynamics
- Climate variability and models
- Fluid Dynamics and Vibration Analysis
- Advanced Neural Network Applications
- Adsorption and Cooling Systems
- Plant Molecular Biology Research
- Coastal wetland ecosystem dynamics
- Vibration and Dynamic Analysis
- Power Systems and Renewable Energy
- Hydrology and Drought Analysis
- Freezing and Crystallization Processes
- Aerosol Filtration and Electrostatic Precipitation
- Phase Equilibria and Thermodynamics
- Membrane Separation and Gas Transport
- Electrostatics and Colloid Interactions
Jinling Institute of Technology
2024-2025
East China Normal University
2022-2025
Shihezi University
2025
Southwest Petroleum University
2024
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
2024
Guangdong University of Technology
2016-2024
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2024
Beijing Institute of Technology
2024
Anhui Medical University
2024
South China Normal University
2018-2024
The El Niño Southe58rn Oscillation (ENSO) is a typical oscillation affecting climate change, and its stable periodicity, long-lasting effect, predictable characteristics have become important indicators for regional prediction. In this study, we analyze the Standardized Precipitation Evapotranspiration Index (SPEI), Niño3.4 index, Southern (SOI), Multivariate ENSO (MEI). Additionally, explore spatial temporal distribution of correlation coefficients between SPEI time lag events varying...
In this study, a polyurethane emulsifer with various functional groups was prepared from isophorone diisocyanate, avermectin, 2,2-dimethylol propionic acid, and bis(2-hydroxyethyl) disulfide. The chemical structure of the polymer confirmed by Fourier transform infrared spectroscopy, proton nuclear magnetic resonance, element analysis. exhibited adequate emulsification ability for avermectin after neutralization triethylamine. A satisfaying nanoemulsion obtained, in which encapsulated...
A systematic study has been carried out to get insight into the effect of hydraulic conditions (feed flow rate (Q), transmembrane pressure (TMP), and rotating speed (N)) on treatment dairy wastewater with shear-enhanced membrane flirtation using Box-Behnken response surface methodology (BBRSM). Performances three types ultrafiltration (UF) (UH005P, UH030P, PES050) were compared choose optimal membrane. 1.5 h test was conducted analysis kinetics permeate flux decline under various conditions....
Fruits, vegetables, and dairy products are typically the primary sources of household food waste. Currently, anaerobic digestion is most used bioprocess for treatment waste with concomitant generation biogas. However, to achieve a circular carbon economy, organics in should be converted new chemicals higher value than energy. Here we demonstrate feasibility medium-chain carboxylic acid (MCCA) production from expired beverage via chain elongation platform mediated by lactate. In two-stage...
The vortex-induced vibrations of a roughed circular cylinder with truncated conical shape protrusions to simulate the attachment barnacles are numerically investigated in this paper. coverage ratio (CR) varies from 0% 80% an increment 20%, and simulation is conducted reduced velocity range Ur = 1.43–11.00. numerical results indicate that boundary layer development continuously disrupted by protrusions, generating inter-rib vortices. Five near-wall vortex structures identified, including main...
Recently, deep learning-based multi-exposure image fusion methods have been widely explored due to their high efficiency and adaptability. However, most existing insufficient feature extraction ability for recovering information details in extremely exposed areas. In order solve this problem, we propose a method based on low-resolution context aggregation attention network (MEF-CAAN). First, feed the version of input images CAAN predict weight maps. Then, high-resolution maps are generated...