A5030808083- Lightning and Electromagnetic Phenomena
- Electromagnetic Scattering and Analysis
- Thermal Analysis in Power Transmission
- Electromagnetic Simulation and Numerical Methods
- Soil Moisture and Remote Sensing
- High voltage insulation and dielectric phenomena
- Electromagnetic Launch and Propulsion Technology
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- High-Velocity Impact and Material Behavior
- Fire effects on ecosystems
- Luminescence and Fluorescent Materials
- High-Voltage Power Transmission Systems
- Porphyrin and Phthalocyanine Chemistry
- Pulsars and Gravitational Waves Research
- Geophysical Methods and Applications
- Aerosol Filtration and Electrostatic Precipitation
- Advanced Antenna and Metasurface Technologies
- Geophysical and Geoelectrical Methods
- Ionosphere and magnetosphere dynamics
- Hydrocarbon exploration and reservoir analysis
- Nanoplatforms for cancer theranostics
- Power Systems and Renewable Energy
- Antenna Design and Analysis
- Gamma-ray bursts and supernovae
Nanjing University of Science and Technology
2004-2025
Zhejiang University of Technology
2023-2025
Hebei Medical University
2025
Fourth Hospital of Hebei Medical University
2025
China Electric Power Research Institute
2011-2024
Anhui Normal University
2019-2024
Zhejiang University
2006-2024
North China Electric Power University
2011-2024
ZheJiang Institute For Food and Drug Control
2024
China University of Petroleum, East China
2024
Dense media radiative transfer (DMRT) theory is used to study the multiple-scattering effects in active microwave remote sensing. Simplified DMRT phase matrices are obtained 1-2 frame. The simplified expressions facilitate solutions of equations and comparisons with other matrices. First-order, second-order, full obtained. To solve equation, we decompose diffuse intensities into Fourier series azimuthal direction. Each harmonic solved by eigen-quadrature approach. model applied sensing...
Traffic crashes, heavy congestion, and discomfort often occur on rough pavements due to human drivers’ imperfect decision-making for vehicle control. Autonomous vehicles (AVs) will flood onto urban roads replace drivers improve driving performance in the near future. With development of cooperative infrastructure system (CVIS), multi-source road traffic information can be collected by onboard or roadside sensors integrated into a cloud. The is updated used real-time. This study proposes an...
Cyclic BODIPY trimers showed strong exciton coupling in singlet excited states and long-lived triplet states, generated both oxygen superoxide radicals under light irradiation, giving good reactive quantum yields promising PDT results vitro .
A new class of hybridized and core-contracted porphyrinoids, B(III)-submonoazaporphyrins, which may be viewed as the hybrids B(III)-subporphyrins B(III)-subporphyrazines, was reported. The versatile single-step synthesis based on an efficient intramolecular nucleophilic substitution reaction readily available α-amino-α′-bromotripyrromethenes, while boronic acids, trifluoroborate salts, or trimethoxyborate simultaneously acted template provider apical substituent. Those hybrids, robust...
The stochastic resonance in an overdamped harmonic oscillator driven by cross-correlation Gaussian white noises which one of the is modulated a periodic signal studied. By means Fourier transform stationary correlation function, exact expression signal-to-noise ratio for model derived. Results reveal that there are two types model. One type peak exists curves versus multiplicative noise intensity Q. Another frequency ω. changing value Ω, Q curve can exhibit three different forms: form with...
A family of directly β,β-linked BODIPY dimers with amino groups at α-positions were regioselectively prepared by the oxidative coupling reaction α-amino-substituted BODIPYs. The structure one representative dimer was elucidated X-ray diffraction analysis, showing its twisted orientation two units a dihedral angle 49°. Comparing corresponding monomers, these showed red-shifted absorptions and emissions along efficient intersystem crossing, giving ΦΔ 43% for 4b in toluene, indicating potential...
A method employing the Convolutional Wasserstein Conditional Generative Adversarial Network (CW-CGAN) is proposed to improve fault detection under imbalanced sample conditions. Real signal datasets are collected and pre-processed, utilizing CWGAN-GP model generate additional samples expand training set. Neural (CNN) developed facilitate automatic feature extraction classification. Experimental results indicate that augmented CNN excels in validation test sets, accurately classifying various...
Abstract In multiscale finite element methods, solving macroscopic problems typically requires addressing computationally expensive microscopic Representative Volume Element (RVE) problems. To reduce this computational burden, a data-driven approach using Artificial Neural Networks (ANNs) has been employed to pre-train the strain-stress relationship of RVE, bypassing need for full micro-scale calculations. Existing research also explored use Recurrent (RNNs) handle history-dependent...
The mineral composition of shale oil reservoirs in Jiyang Depression Bohai Bay Basin, East China, is complex, the storage space fine and tiny, conventional logging  methods have poor applicability. Therefore, nuclear magnetic resonance logging, which can directly obtain pore information, has been widely applied Shengli reservoirs. By systematically analyzing one-dimensional two-dimensional data wells Oilfield, combined with asymmetric Gaussian function fitting technology clustering...