A5100664345- Climate variability and models
- Atmospheric aerosols and clouds
- Meteorological Phenomena and Simulations
- Advanced Aircraft Design and Technologies
- Atmospheric chemistry and aerosols
- Water Treatment and Disinfection
- Educational Reforms and Innovations
- Advanced Chemical Sensor Technologies
- Magnetic Bearings and Levitation Dynamics
- Synthesis and properties of polymers
- Tribology and Wear Analysis
- Spectroscopy and Chemometric Analyses
- Vibration Control and Rheological Fluids
- Adsorption and biosorption for pollutant removal
- Tropical and Extratropical Cyclones Research
- Urban Design and Spatial Analysis
- Water Quality Monitoring and Analysis
- Lignin and Wood Chemistry
- Land Use and Ecosystem Services
- Spectroscopy Techniques in Biomedical and Chemical Research
- Climate change and permafrost
- Plant Ecology and Soil Science
- Wastewater Treatment and Nitrogen Removal
- Electric Motor Design and Analysis
- Medical Research and Treatments
Jiangsu University
2022-2024
Anhui Agricultural University
2023-2024
Nankai University
2024
Peking University
2022-2024
Shanxi Agricultural University
2024
University of Leeds
2023-2024
Cornell University
2024
Institute of Mountain Hazards and Environment
2023
Chinese Academy of Sciences
2022-2023
University of Chinese Academy of Sciences
2023
We present snap-n-eat, a mobile food recognition system. The system can recognize and estimate the calorific nutrition content of foods automatically without any user intervention. To identify items, simply snaps photo plate. detects salient region, crops its image, subtracts background accordingly. Hierarchical segmentation is performed to segment image into regions. then extract features at different locations scales classify these regions kinds using linear support vector machine...
Lignin–carbohydrate complexes (LCCs), a significant component of plant cell walls, have been found to bear biological functionality as antioxidants in food and immunostimulants for living cell. In this work, lignin-rich carbohydrate-rich LCCs preparations were isolated from bamboo residues (bamboo green yellow). Each preparation was characterized by chemical composition linkage types quantities high performance anion exchange chromatography (HPAEC) NMR technologies (quantitative 13C 2D-HSQC...
Lignosulfonate (LG), a water-soluble polymer from sulfite pulping process of lignocellulosic biomass, has been commercially applied as admixture for concrete. In this work, lignosulfonates were produced alkaline lignin (AL) and enzymatic hydrolysis residue (EHR) by sulfomethylation these water reducers concrete then evaluated. Results showed that 94.9% 68.9% lignins in AL EHR could be sulfonated under optimum conditions, respectively. The sulfonic groups (AL-LG) (EHR-LG) 1.6 mmol/g 1.0...
Abstract Lamellar graphene oxide (GO) membranes have gained substantial interest for molecular separation processes. However, GO shown inefficient performance levels due to their possession of sufficient functional groups that lead swelling under applied hydraulic pressure. Herein, we demonstrate a highly stable and ultrafast filtrable oxide-boron nitride (GOBN) hybrid membrane by incorporating boron (BN) nanosheets into restrict provide efficient pressure characteristics. This new...
Two-dimensional nanomaterial-based membranes have earned broad attention because of their excellent capability separation performance in a mixture that can challenge the conventional membrane materials utilized organic solvent nanofiltration (OSN) field. Boron nitride (BN) nanosheet displayed superb stability and ability aqueous solutions compared to widely researched analogous graphene-based membranes; nevertheless, concentration polarization dye pollutants fades eclipses potential adoption...
Downward shortwave radiation (RS) drives many processes related to atmosphere–surface interactions and has great influence on the earth’s climate system. However, ground-measured RS is still insufficient represent land surface, so it critical generate high accuracy spatially continuous data. This study tries apply random forest (RF) method estimate from Himawari-8 Advanced Himawari Imager (AHI) data February May 2016 with a two-km spatial resolution one-day temporal resolution. The at 86...
Abstract. Estimates of aviation effective radiative forcing (ERF) indicate that contrail cirrus is currently its largest contributor, although with a substantial associated uncertainty ∼ 70 %. Here, we implement the parameterisation developed for Community Atmosphere Model (CAM) in UK Met Office Unified (UM), allowing us to compare, first time, impact key features host climate model on ERF. We find differences background humidity between models result UM-simulated fractions being 2 3 times...
Aviation currently contributes approximately 3.5% to the anthropogenic effective radiative forcing (ERF) on climate, with contrail cirrus being largest contributor, accounting for twice impact of aviation CO2 emissions. However, latest assessment aviation's climate highlights significant uncertainty around 70% in ERF estimates due process-related uncertainties. Recent research also critical role cloud microphysical schemes representing and optical properties models.In this study, we...
Contrail cirrus is estimated to be responsible for the largest and most uncertain aviation effective radiative forcing (ERF) term. With sector’s commitment reach net-zero emissions by 2050, there a stringent need better understand constrain this A key challenge in reducing its associated uncertainty comes from very limited number of climate models able simulate contrail cirrus.In work we present results two new parameterisations UK Met Office Unified Model (UM), one based on...
There have been long concerns on the potential environmental impact of aviation, which is second biggest source transport greenhouse gas emissions after road transport. Direct from aviation accounted 3.8% total CO2 emissions, estimated to contribute ~3.5% anthropogenic effective radiative forcing climate (IPCC). The space launches currently receiving much attention due industry being one fastest growing global economic sectors. Since first assessment rocket by Cicerone and Stedman (1974),...
Simulating urban morphology with location attributes is a challenging task in science. Recent studies have shown that Generative Adversarial Networks (GANs) the potential to shed light on this task. However, existing GAN-based models are limited by sparsity of data and instability model training, hampering their applications. Here, we propose GAN framework geographical knowledge, namely Metropolitan (MetroGAN), for simulation. We incorporate progressive growing structure learn hierarchical...
A new and accurate approach for classifying sesame oil adulterated with corn using the information fusion of synchronous asynchronous 2D NIR‐MIR correlation spectroscopy combined least squares support vector machines (LS‐SVM). N‐way partial square discriminant analysis (NPLS‐DA) was adopted to extract principal components matrices. And score matrices were emerged. Both separate emerged input LS‐SVM construct discriminate models oil. The ratios correct classification 98.1 100% calibration set...
Abstract Surface downward longwave radiation ( SDLR ) is a major component of the energy budget. Although studies have reported spatiotemporal variations in China, coverage situ measurements used always limited. In this study, gradient boosting regression tree (GBRT) was developed to reconstruct based on air temperature T ), relative humidity (RH), and shortwave DSR ). Ground collected at Baseline Radiation Network (BSRN) Arid Semi‐arid Region Collaborative Observation Project (ASRCOP) were...
A new discriminant method to classify adulterated milk and pure is proposed by combining the parameterization of two-dimensional (2D) correlation spectroscopy with least squares support vector machines (LS-SVM). 120 samples melamine, urea glucose were prepared their synchronous 2D spectra calculated. Then 5 statistical parameters, which mean, variance, standard deviation, skewness kurtosis, extracted based on theory. Finally, model was built these parameters LS-SVM. The ratios correct...