17 results on '"Ran, Maoxia"'
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2. Ultrasensitive pH-switchablenitrogen doped carbon dots for MnO4− detection and fluorescent anti-counterfeiting
3. Simultaneous detection of Cu2+ and amoxicillin based on the copper and nitrogen-regulated fluorescent probe
4. 4-hydroxybenzoic acid specific fluorescent sensor based on N,S-doped carbon dots@molecularly imprinted polymer
5. Characteristics of arsenic speciation in mainly cultured shellfish from Sanmen Bay, Zhejiang Province, China
6. A baseline study on the distribution characteristics and health risk assessment of cadmium in edible tissues of the swimming crabs (Portunus trituberculatus) from Shanghai, China
7. Zinc ions modified InP quantum dots for enhanced photocatalytic hydrogen evolution from hydrogen sulfide
8. Acoustic signal analysis for detecting defects inside an arc magnet using a combination of variational mode decomposition and beetle antennae search
9. Characteristics of Arsenic Speciation in Mainly Cultured Shellfish from Sanmen Bay, Zhejiang Province, China
10. Effects of Steaming Practices on the Cadmium Redistribution in Edible Tissues of the Swimming Crabs (Portunus Trituberculatus) and its Health Risk Assessment
11. Differences of Arsenic Speciation Characteristics of Mainly Cultured Shellfish in Sanmen Bay, Zhejiang Province, China
12. Transforming waste into value: pomelo-peel-based nitrogen-doped carbon dots for the highly selective detection of tetracycline
13. A parameter-optimized variational mode decomposition method using salp swarm algorithm and its application to acoustic-based detection for internal defects of arc magnets
14. Threshold-Optimized Swarm Decomposition Using Grey Wolf Optimizer for the Acoustic-Based Internal Defect Detection of Arc Magnets
15. Combined Convolutional and LSTM Recurrent Neural Networks for Internal Defect Detection of Arc Magnets Under Strong Noises and Variable Object Types
16. Attenuation of Diabetic Nephropathy in Diabetic Mice by Fasudil through Regulation of Macrophage Polarization
17. A novel intelligent fault identification method based on random forests for HVDC transmission lines
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