A5100605888- Stellar, planetary, and galactic studies
- Spectroscopy and Chemometric Analyses
- Remote Sensing in Agriculture
- Soil Geostatistics and Mapping
- Heavy metals in environment
- Land Use and Ecosystem Services
- Corporate Finance and Governance
- International Business and FDI
- Automated Road and Building Extraction
- Corporate Governance and Law
- Bacteriophages and microbial interactions
- Economic Policies and Impacts
- Biosensors and Analytical Detection
- Global trade and economics
- Advanced biosensing and bioanalysis techniques
- Global Health and Epidemiology
- Water Quality and Pollution Assessment
- Blind Source Separation Techniques
- Mercury impact and mitigation studies
- Geochemistry and Geologic Mapping
- Gamma-ray bursts and supernovae
Hainan University
2024
Jilin Province Science and Technology Department
2021-2022
Jilin University
2021-2022
Nanchang University
2020
State Key Laboratory of Food Science and Technology
2020
City University of Hong Kong
2016
South China Normal University
2014-2015
The growing threat of foodborne disease has made it imperative to develop rapid and efficient detection techniques. Here, we developed dendritic superparamagnetic iron oxide nanoparticles (SPIONs) combined with low-field nuclear magnetic resonance (LF-NMR) biosensor for Salmonella in milk. We first used a capture antibody biotinylated (BT-mAb) the form sandwich 96-well plate immobilize target bacteria. Then streptavidin modified polyamidoamine (SA-PAMAM) was connect BT-mAb functionally...
This article investigates the problem of estimating stellar atmospheric parameters from spectra. Feature extraction is a key procedure in automatically. We propose scheme for spectral feature and parameter estimation using following three procedures: firstly, learn set basic structure elements (BSEs) spectra an autoencoder; secondly, extract representative features based on learned BSEs through some procedures convolution pooling; thirdly, estimate (Teff, log g, [Fe/H]) back-propagation (BP)...
The development of advanced and efficient methods for mapping monitoring wetland regions is essential resources conservation, management, sustainable development. Although remote sensing technology has been widely used detecting wetlands information, it remains a challenge classification due to the extremely complex spatial patterns fuzzy boundaries. This study aims implement comprehensive effective scheme land covers. To achieve this goal, novel object-based multigrained cascade forest...
Large-scale and deep sky survey missions are rapidly collecting a large amount of stellar spectra, which necessitate the estimation atmospheric parameters directly from spectra makes it feasible to statistically investigate latent principles in dataset. We present technique for estimating $T_{eff}$, log$~g$ [Fe/H] spectra. With this technique, we first extract features using LASSO algorithm; then, estimated extracted SVR. On subsample 20~000 SDSS with reference provided by SDSS/SEGUE...
Soil organic matter (SOM) is rich in black soil area. It has a significant effect on health and luxuriant vegetation. The agricultural production activities can thus be guided by measurements of SOM at different periods. Most previous work estimated using reflectance spectra dried samples, to remove the moisture content (SMC). However, it time-consuming almost conduct-prohibitive field. In this study, we utilized continuous wavelet transform (CWT) visible (VIS) near infrared (NIR) test its...
Despite extensive research on the network structure of tourism destinations, literature spatial cross-border tourism–economic connections is relatively limited, specifically complex geopolitical relationship between China and Association Southeast Asian Nations (ASEAN). Thus, in this study we explored relevant characteristics influencing factors economic networks. The results first indicate that China–ASEAN exhibits distinct stage characteristics, with an ‘N’-shaped fluctuating growth trend,...