- Geophysical and Geoelectrical Methods
- Geophysical Methods and Applications
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Electromagnetic Simulation and Numerical Methods
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Advanced Battery Technologies Research
- Seismic Imaging and Inversion Techniques
- Electromagnetic Scattering and Analysis
- Sparse and Compressive Sensing Techniques
- Energy Efficient Wireless Sensor Networks
- Remote-Sensing Image Classification
- Non-Destructive Testing Techniques
- Image and Signal Denoising Methods
- Semiconductor materials and interfaces
- Mobile Ad Hoc Networks
- Biofuel production and bioconversion
- Advanced Photocatalysis Techniques
- Crystallography and molecular interactions
- NMR spectroscopy and applications
- Metal-Organic Frameworks: Synthesis and Applications
- Anodic Oxide Films and Nanostructures
- Structural Health Monitoring Techniques
- Molten salt chemistry and electrochemical processes
Shandong University of Science and Technology
2008-2024
China Automotive Battery Research Institute
2018-2024
Nanjing University of Aeronautics and Astronautics
2023-2024
Grinm Advanced Materials (China)
2020-2024
Guangdong Pharmaceutical University
2024
Affiliated Hospital of Hangzhou Normal University
2024
Hangzhou Normal University
2024
Soochow University
2018-2022
General Research Institute for Nonferrous Metals (China)
2015-2021
Nankai University
2014-2021
Change detection is an important task in remote sensing (RS) image analysis. It widely used natural disaster monitoring and assessment, land resource planning, other fields. As a pixel-to-pixel prediction task, change sensitive about the utilization of original position information. Recent methods always focus on extraction deep semantic feature, but ignore importance shallow-layer information containing high-resolution fine-grained features, this often leads to uncertainty pixels at edge...
Change detection is an important tool for long-term earth observation missions. It takes bi-temporal images as input and predicts "where" the change has occurred. Different from other dense prediction tasks, a meaningful consideration interaction between features. With this motivation, in paper we propose novel general architecture, MetaChanger, which includes series of alternative layers feature extractor. To verify effectiveness two derived models, ChangerAD ChangerEx with simple...
The effective utilization of multimodal data (e.g., hyperspectral and light detection ranging (LiDAR) data) has profound implications for further development the remote sensing (RS) field. Many studies have explored how to effectively fuse features from multiple modalities; however, few them focus on information interactions that can promote complementary semantic content multisource before fusion. In this letter, we propose a spatial–spectral enhancement module (S <sup...
Recently, Semantic Change Detection (SCD) has gained growing attention from the Remote Sensing (RS) research community due to its critical role in Earth observation applications. Typical approaches tackle task using a multi-task network, comprising one (CD) sub-task and two Segmentation (SS) sub-tasks. Although these have achieved good performance, crucial question persists: What is effective way handle feature interactions across SCD sub-tasks? To address this issue, paper first offers an...
The Born approximation in electromagnetic (EM) numerical modeling has limited application for solving 3-D induction problems, because structures with high conductivity contrasts and at frequencies, this is inaccurate. In paper, we develop a new relatively simple the EM field called quasi‐linear approximation, which based on evaluation of anomalous [Formula: see text] by linear transformation normal (primary) field: text], where electrical reflectivity tensor. tensor inside inhomogeneities...
Electric anisotropy is considered an important property of hydrocarbon reservoirs. Its occurrence has great influence on estimation formation water saturation and other properties derived from electromagnetic (EM) measurements. Conventional tools using coaxial coils often underestimate resistivity thus overestimate saturation. Multicomponent EM sensors provide the additional information needed for better resistivity‐based evaluation. We have developed a finite‐difference method to simulate...
Controlled assembly of 0D supramolecular nanocages into 2D or 3D architectures has been demonstrated for the first time via a coordination-driven polymerization approach, and conversion from to architecture also successfully achieved temperature-induced crystal transformation. The boost dimensionality led steady yet remarkable enhancement properties, as reflected gas adsorption studies.
This paper proposes to apply a newly developed Non-Dispersive Infrared Spectroscopy (NDIR) gas sensing system composed of pyroelectric infrared detectors monitor the thermal runaway (TR) process lithium-ion batteries in real time and achieve an early warning for battery TR process. The new Electrical Vehicle Safety—Global Technical Regulation (EVS-GTR) requires that be provided passengers at least five minutes before serious incident. experimental results indicate carbon dioxide methane were...
Background: Human miRNAs have emerged as potentially useful diagnostic and prognostic markers in cancer within the past decade. Abnormal expression of microRNA-146 (miR-146) has been found several classes cancers. Objective: To explore expressi
Si has been extensively examined as a potential alternative to carbonaceous negative materials, because it shows exceptional gravimetric capacity and abundance.
A compact silicon–carbon composite with an embedded structure, which is prepared using coal tar pitch and nanosilicon, can be developed into anode material excellent structural stability cycling performance.
Three‐dimensional electromagnetic inversion continues to be a challenging problem in electrical exploration. We have recently developed new approach the solution of this based on quasi‐linear approximation forward modeling operator. It generates linear equation with respect modified conductivity tensor, which is proportional reflectivity tensor and complex anomalous conductivity. solved by using regularized conjugate gradient method. After determining we used evaluate Thus, scheme reduces...
One of the most challenging problems electromagnetic (EM) geophysical methods is developing three‐dimensional (3‐D) EM inversion techniques. This problem utmost importance in practical applications because 3‐D nature geological structures. The main difficulties are related to (1) limitations forward modeling codes available and (2) ill‐posedness procedures general. multidimensional techniques existing today can handle only simple models typically very time consuming. We developed a new...
The quasi‐linear approximation for electromagnetic forward modeling is based on the assumption that anomalous electrical field within an inhomogeneous domain linearly proportional to background (normal) through reflectivity tensor λ⁁. In original formulation of approximation, λ⁁ was determined by solving a minimization problem integral equation scattering currents. This approach much less time‐consuming than full method; however, it still requires solution corresponding system linear...
Change detection is an important task in remote sensing (RS) image analysis. With the development of deep learning and increase RS data, there are more change methods based on supervised learning. In this paper, we improve semantic segmentation network UNet++ propose a fully convolutional siamese (Siam-NestedUNet) for detection. We combine three types structures with respectively to explore impact under condition backbone strong feature extraction capabilities. addition, characteristics...
Tetraspanins are members of the 4-transmembrane protein superfamily (TM4SF) that function by recruiting many cell surface receptors and signaling proteins into tetraspanin-enriched microdomains (TEMs) play vital roles in regulation key cellular processes including adhesion, motility, proliferation. Tetraspanin7 (Tspan7) is a member this plays documented hippocampal neurogenesis, synaptic transmission, malignant transformation certain tumor types. How Tspan7 influences onset or progression...
Electrospinning technology has recently attracted increased attention in the biomedical field, and preparing various cellulose nanofibril membranes for periodontal tissue regeneration unique advantages. However, characteristics of using a single material tend to make it challenging satisfy requirements barrier film, production composite fibrous frequently impacts quality final fiber membrane due influence miscibility between different materials. In this study, nanofibrous composed polylactic...
A Rh( iii )-catalyzed C–H/N–H [4+2] annulation of oxadiazolones with iodonium ylides was developed, which afforded a series fused-isoquinolines and fused-pyridines.