A5001707210- Electromagnetic Scattering and Analysis
- Electromagnetic Simulation and Numerical Methods
- Advanced Antenna and Metasurface Technologies
- Antenna Design and Optimization
- Antenna Design and Analysis
- Numerical methods in inverse problems
- Soft Robotics and Applications
- Radar Systems and Signal Processing
- Advanced Adaptive Filtering Techniques
- Radio Wave Propagation Studies
- Muscle activation and electromyography studies
- Millimeter-Wave Propagation and Modeling
- Advanced Algorithms and Applications
- Neuroscience and Neural Engineering
- Remote Sensing and Land Use
- Advanced Sensor and Control Systems
- Teleoperation and Haptic Systems
- 3D Shape Modeling and Analysis
- Multiferroics and related materials
- Advanced Condensed Matter Physics
- Evaluation Methods in Various Fields
- Advanced Database Systems and Queries
- Transport Systems and Technology
- Video Coding and Compression Technologies
- Photoreceptor and optogenetics research
Southeast University
2008-2025
State Key Laboratory of Millimeter Waves
2018-2025
Purple Mountain Laboratories
2022-2024
Shanghai Institute of Organic Chemistry
2024
Institute of Automation
2024
University of Chinese Academy of Sciences
2024
China University of Mining and Technology
2024
Chinese Academy of Sciences
2024
Sichuan University
2020
Far East University
2010
Adipose tissue can recruit catabolic adipocytes that utilize chemical energy to dissipate heat. This process occurs either by uncoupled respiration through uncoupling protein 1 (UCP1) or utilizing ATP-dependent futile cycles (FCs). However, it remains unclear how these pathways coexist since both processes rely on the mitochondrial membrane potential. Utilizing single-nucleus RNA sequencing deconvolute heterogeneity of subcutaneous adipose in mice and humans, we identify at least 2 distinct...
Abstract CaBaCo 4 O 7 has been widely studied because of its distinctive structure and magnetic properties. This study examined the influence different cooling atmospheres on structure, properties, dielectric behavior . Samples were cooled under atmospheric conditions to assess these influences. Our findings indicate that reduced oxygen content leads increased lattice distortion. Since atoms play a crucial role in mediating exchange, deficiency disrupts long-range order promotes short-range...
Coverage path planning on a complex free-form surface is representative problem that has been steadily investigated in and automatic control. However, most methods do not consider many optimisation conditions cannot deal with surfaces, closed the intersection of multiple surfaces. In this study, novel efficient coverage path-planning method proposed considers trajectory information uses point cloud data for environmental modelling. First, are denoised simplified. Then, points converted into...
Due to the difficulty in spinal cord regeneration with biological methods, microelectronic neural bridge, a new concept based on technology, is presented. The system has been realized forms of hybrid and integrated circuits. circuits for signal detection, stimulation, are CMOS process. In animal experiments 100 toads, 48 rats, 3 rabbits, nerve signals have successfully detected from cords sciatic nerves, functional electrical stimulation carried out nerves. When bridged between controlling...
The subentire-domain (SED) basis functions method based on the multiple plane waves (MPWs) has achieved efficient analysis of scattering problem large-scale finite periodic structures (LFPSs) with interconnected perfect electric conducting cells. However, for composite LFPSs dielectric-conductor cells, enormous unknowns in dielectric volume become a huge burden to construct matrix equations and obtain SED functions. In addition, it is hard manually set match points meshes boundaries between...
Accurate subentire-domain (ASED) basis functions method have been proved efucient for solving large-scale unite periodic structures (LFPSs) with electrically isolated elements, based on utilizing ASED functions. These functions, deuned macrodomains (blocks) including a relatively large number of Rao-Wilton-Glisson (RWG) lead to great reduction in the unknowns and result substantial size original moment matrix. However, cannot obtain an accurate analysis LFPSs connected cells. In this...
The efficient broadband monostatic radar cross section (RCS) of the electrically large and deep morphing S-shape cavity calculation is a challenge in computational electromagnetic. Moreover, traditional electromagnetic computing method can be very time-consuming because highly complex computations RCS must repeated each time structure modified. To tackle these difficulties, artificial neural networks (ANNs) are proposed to reduce cost conventional methods, data-driven ANNs model trained with...
In this letter, a novel approach based on dynamic graph convolutional neural networks (DGCNNs) is proposed to analyze the quasi-periodic array consisting of cells with different geometric parameters. Each vertex node in represents cell and features each are determined by parameters corresponding cell. The connections initialized dynamically updated learn mutual coupling among cells. DGCNNs constructed trained such that can obtain relationships predict <italic...
Due to the indoor none-line-of-sight (NLoS) propagation and multi-access interference (MAI), it is a great challenge achieve centimeter-level positioning accuracy in scenarios. However, sixth generation (6G) wireless communications provide good opportunity for positioning. In 6G, millimeter wave (mmWave) terahertz (THz) have ultra-broad bandwidth so that channel state information (CSI) will high resolution. this paper, weighted random forest (WRF) based algorithm using CSI-based fingerprint...
Using only the RWG functions, combined source integral equation (CSIE) with weak form condition can achieve fine accuracy and fast iterative convergence for conductor objects. However, compared a conventional in method of moments (MoM), CSIE involves more matrices complex numerical processing, these make inefficient, especially multiple excitation problems. In this paper, characteristic basis function (CBF)-based initial guess is proposed to mitigate problem. The CBF employed reduce number...
This paper presents a wideband adaptive cross approximation with the characteristic basis function method (Wideband ACA-CBFM) for efficiently solving radar cross-section (RCS). In this approach, (ACA) decomposition information and functions (CBFs) at highest frequency of given band, are reused other frequencies in band. Moreover, ACA matrices calculated using impedance interpolation method. Therefore, we propose effectively reduces total CPU time calculating RCS.
Drug-target interaction is fundamental in understanding how drugs affect biological systems, and accurately predicting drug-target affinity (DTA) vital for drug discovery. Recently, deep learning methods have emerged as a significant approach estimating the binding strength between target proteins. However, existing simply utilize drug's local information from molecular topology rather than global information. Additionally, features of proteins are usually fused with simple concatenation...
To expedite the design process of platform-based dual-antenna mutually coupled layout, inverse artificial neural networks(ANNs) model is proposed, which can directly generate layout to match expected electromagnetic response. In this ANNs model, two antenna coupling performance S-parameter regarded as input, and corresponding discrete points are output. Once training completed, proposed provide antennas located point without an optimization process. last, examples presented demonstrate...
The subentire-domain (SED) basis functions method has shown its efficiency in solving the electromagnetic problem of large-scale finite periodic structures (LFPSs). However, calculating expansion coefficients SED is very time-consuming due to consideration mutual coupling between all elements LFPSs, even after accelerated by conjugate-gradient fast Fourier transform (CG-FFT) and/or multipole (FMM). In this article, based on physics locations observation cells, adaptive artificial neural...