A5063248759- Silicone and Siloxane Chemistry
- Synthesis and properties of polymers
- Epoxy Resin Curing Processes
- Molecular Sensors and Ion Detection
- Advanced MRI Techniques and Applications
- Polymer Nanocomposites and Properties
- Dielectric materials and actuators
- Flame retardant materials and properties
- Analytical Chemistry and Sensors
- Tribology and Wear Analysis
- Functional Brain Connectivity Studies
- Brain Tumor Detection and Classification
- Advanced Chemical Sensor Technologies
- Advanced Fluorescence Microscopy Techniques
- Photoreceptor and optogenetics research
- Corrosion Behavior and Inhibition
- Nanoplatforms for cancer theranostics
- High-Temperature Coating Behaviors
- Luminescence and Fluorescent Materials
- Hydrogen embrittlement and corrosion behaviors in metals
- Carbon dioxide utilization in catalysis
- Advanced Neuroimaging Techniques and Applications
South China University of Technology
2017-2023
Texas A&M University
2019
Photoactivatable fluorophores afford powerful molecular tools to improve the spatial and temporal resolution of subcellular structures dynamics. By performing a single sulfur-for-oxygen atom replacement within common fluorophores, we have developed facile general strategy obtain photoactivatable fluorogenic dyes across broad spectral range. Thiocarbonyl substitution results in significant loss fluorescence via photoinduced electron transfer-quenching mechanism as suggested by theoretical...
Addition of DOPO-based chain extender (DEP) simultaneously enhanced the flame retardancy and mechanical properties PA6/MCA through extension coaction in flame-retarding.
A novel hydroxyl-containing polyimide film has been designed and fabricated as a chemosensor for the real-time visualization of F<sup>−</sup> with high selectivity sensitivity.
Few studies have applied deep learning to the discriminative analysis of schizophrenia (SZ) patients using fusional features multimodal MRI data. Here, we proposed an integrated model combining a 3D convolutional neural network (CNN) with 2D CNN classify SZ patients. Structural (sMRI) and resting-state functional (rs-fMRI) data were acquired for 140 205 normal controls. We computed structural connectivity (SC) from sMRI as well (FC), amplitude low-frequency fluctuation (ALFF), regional...
Abstract A bio‐based phosphorus/nitrogen‐containing furan derivative, 6,6′′,6′′′‐((((1,3,5‐triazine‐2,4,6‐triyl) tris(oxy))tris(benzene‐4,1‐diyl))tris(((furan‐2‐ylmethyl) amino)methylene)) tris(dibenzo[c,e][1,2]oxaphosphinine 6‐oxide) (TFAD) is successfully synthesized and characterized by Fourier transform infrared spectroscopy nuclear magnetic resonance spectroscopy. The introduction of TFAD clearly lowers the activation energy for diglycidyl ether a bisphenol (DGEBA)/4,4′‐diaminodiphenyl...
Background and objective: Recently, machine learning has been widely used in the classification of psychiatric diseases with multimodal magnetic resonance imaging (MRI) images. However, few studies have applied deep to discriminative analysis schizophrenia (SZ) patients using fusional features MRI In this study, we proposed an integrated model combining a 3D convolutional neural network (CNN) 2D CNN classify SZ patients.Method: One hundred forty 205 normal controls were recruited, structural...
Abstract With the increasing production of oil and gas fields or in carbon capture storage application recent years, service environment downhole casing is becoming increasingly harsh complex. Downhole casings are faced with supercritical CO2 environments deep wells containing at elevated temperatures pressures. In this paper, we investigated corrosion behavior P110 P110-3Cr steel, as well structure product scales, both water-saturated CO2-saturated water environments. steel samples were...