A5101489775- Advanced biosensing and bioanalysis techniques
- Advanced MRI Techniques and Applications
- Crystallization and Solubility Studies
- Advanced Photocatalysis Techniques
- X-ray Diffraction in Crystallography
- Advanced Nanomaterials in Catalysis
- Biosensors and Analytical Detection
- Electrochemical Analysis and Applications
- Electrochemical sensors and biosensors
- Catalytic Processes in Materials Science
- Lanthanide and Transition Metal Complexes
- Microfluidic and Capillary Electrophoresis Applications
- Analytical chemistry methods development
- Metabolomics and Mass Spectrometry Studies
- Analytical Chemistry and Chromatography
- Advanced NMR Techniques and Applications
- Carbon and Quantum Dots Applications
- Catalysis and Oxidation Reactions
- Nanocluster Synthesis and Applications
- MRI in cancer diagnosis
- Quantum Dots Synthesis And Properties
- Gold and Silver Nanoparticles Synthesis and Applications
- Metal-Organic Frameworks: Synthesis and Applications
- Sinusitis and nasal conditions
- Copper-based nanomaterials and applications
Shantou University
2015-2024
Ji Hua Laboratory
2020
Shantou Central Hospital
2010-2014
Second Affiliated Hospital of Shantou University Medical College
2013
Shantou University Medical College
2008-2010
Sichuan University
2006
Shaanxi Research Association for Women and Family
2000
Reactions of CuX (X = Br(-), I(-) or CN(-)) with various types 2,2'-dipyridylamine (dpa) derivatives have been performed via a hydrothermal-solvothermal method and the products structurally characterized by X-ray crystallography. Four ligands different coordination motifs were employed in reactions, including angular N,N,N',N'-tetra(2-pyridyl)-2,6-pyridinediamine (tppda); linear N,N,N',N'-tetra(2-pyridyl)-1,4-phenylenediamine (tppa) N,N,N',N'-tetra(2-pyridyl)biphenyl-4,4'-diamine (tpbpa);...
A direct way to reduce scan time for chemical exchange saturation transfer (CEST)-magnetic resonance imaging (MRI) is the number of CEST images acquired in experiments. In some scenarios, a sufficient experiments was needed estimate parameters quantitative analysis, and this prolonged time. For that, we aim develop general deep-learning framework reconstruct dense Z-spectra from experimentally at sparse frequency offsets so as achieve reduction. The main innovation works are outlined...
CRISPR/Cas9 is a powerful genome-editing tool in biology, but its wide applications are challenged by lack of knowledge governing single-guide RNA (sgRNA) activity. Several deep-learning-based methods have been developed for the prediction on-target However, there still room improvement. Here, we proposed hybrid neural network named CrnnCrispr, which integrates convolutional and recurrent activity prediction. We performed unbiased experiments with four mainstream on nine public datasets...