A5100602252- Advanced Photocatalysis Techniques
- Perovskite Materials and Applications
- Asphalt Pavement Performance Evaluation
- Infrastructure Maintenance and Monitoring
- Advanced Image Fusion Techniques
- Image and Signal Denoising Methods
- Advanced Nanomaterials in Catalysis
- Catalytic Processes in Materials Science
- Remote-Sensing Image Classification
- Urinary Bladder and Prostate Research
- MXene and MAX Phase Materials
- Advanced Algorithms and Applications
- Anomaly Detection Techniques and Applications
- Covalent Organic Framework Applications
- Automated Road and Building Extraction
- Gas Sensing Nanomaterials and Sensors
- Prostate Cancer Diagnosis and Treatment
- Remote Sensing in Agriculture
- Kawasaki Disease and Coronary Complications
- Urban Heat Island Mitigation
- Artificial Intelligence in Healthcare
- Face and Expression Recognition
- Carbon and Quantum Dots Applications
- Technology and Human Factors in Education and Health
- Signaling Pathways in Disease
Northeast Normal University
2020-2025
Chinese Academy of Sciences
2025
Research Center for Eco-Environmental Sciences
2025
Shenzhen University
2025
Peking Union Medical College Hospital
2023-2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2023-2024
Peking University
2022-2024
State Key Laboratory of Remote Sensing Science
2022-2023
ShanghaiTech University
2023
Wenzhou Medical University
2023
Abstract Polymeric g‐C 3 N 4 is a promising visible‐light‐responsive photocatalyst; however, the fast recombination of charge carriers and moderate oxidation ability remarkably restrict its photocatalytic efficiency towards organic pollutants. To overcome these drawbacks, self‐modification strategy one‐step formaldehyde‐assisted thermal polycondensation molten urea to prepare carbon‐deficient oxygen‐doped (V C ‐OCN) developed, carbon vacancy concentration well‐controlled by changing...
To improve the photocatalytic hydrogen evolution activity of palladium-assisted graphitic carbon nitride (g-C3N4), here, palladium-single-atom-coordinated cyano-group-rich g-C3N4 (Pd/DN-UCN) are synthesized, and synthesis process includes copolymerization urea-derived supramolecular aggregates NH4Cl followed by wet impregnation. By combining powerful characteristic results theoretical calculations, formation mechanism Pd single atoms on ultrathin, mesoporous nanosheets is proposed,...
Road pavement damage affects driving comfort markedly, threatens safety, and may even cause traffic accidents. The management department conventionally captures information mainly using manual vehicle-mounted equipment, which is not conducive to the detection of large-scale road distress. Street-view images can provide full-view urban roads where data updated regularly by navigation map service companies, making it possible rapidly detect in areas. This paper presents a new approach that...
Acetamide- or formamide-assisted in situ strategy is designed to synthesize carbon atom self-doped g-C3 N4 (AHCNx ) nitrogen vacancy-modified (FHCNx ). Different from the direct copolymerization route that suffers problem of mismatched physical properties acetamide (or formamide) with urea, synthesis AHCNx FHCNx starts a crucial preorganization step urea via freeze drying-hydrothermal treatment so chemical structures as well C-doping level and N-vacancy concentration can be precisely...
Abstract Road damage is a great threat to the service life and safety of roads, early detection pavement can facilitate maintenance repair. Street view images serve as new solution for monitoring due their wide coverage regular updates. In this study, road dataset, View Image Dataset Automated Damage Detection (SVRDD), was developed using 8000 street acquired from Baidu Maps . Based on these images, over 20,000 instances were visually recognized annotated. These distributed in five...
Road pavement cracks are a critical factor affecting the health conditions of road pavements. Accurate crack detection contributes to providing data support for maintenance measures. Compared conventional algorithms, deep learning based segmentation methods have practical significance and traffic safety management due their high precision automation. However, existing often suffer from accuracy loss varying sizes presence stains on with spatial characteristics similar cracks, leading...
Recent advancements in deep learning (DL) frameworks based on neural networks (DNN) drastically improved accuracy image recognition, natural language processing and other applications.The key advantage of DL is systematic approach for independent training groups DNN layers including unsupervised auto-encoders hierarchical representation raw input data (i.e., automatic feature selection dimensionality reduction) supervised re-training several final the transfer that compensate...
Metastasis is the leading cause of high ovarian-cancer-related mortality worldwide. Three major processes constitute whole metastatic cascade: invasion, intravasation, and extravasation. Tumor cells often reprogram their metabolism to gain advantages in proliferation survival. However, whether how those metabolic alterations contribute invasiveness tumor has yet be fully understood. Here we performed a genome-wide CRISPR-Cas9 screening identify genes participating cell dissemination revealed...
Transformer-based deep networks have been widely employed for fusing multispectral and hyperspectral images because the global self-attention mechanism ensures that more pixel information is used in fusion. However, unreasonable interactions between local windows window self-attention-based Transformer can adversely affect network's modeling of relationship, resulting low-quality fusion results. This study proposes a novel N-Gram based Swin Network (NGST-Net). It utilizes pixels mining...
The automated monitoring of road pavement conditions is a challenging subject in intelligent transportation. However, the existing studies mostly focus on extracting damages such as cracks, while aging are still less investigated. In this paper, novel method based modified recurrent neural network designed for asphalt phenomena from fine-resolution satellite imagery. A spectral augmentation proposed to enhance details pavements. loss function also improve bi-directional gated unit (Bi-GRU)...
Background Resistance to intravenous immunoglobulin (IVIG) occurs in 10–20% of patients with Kawasaki disease (KD). The risk resistance is about two-fold higher elevated gamma glutamyl transferase (GGT) levels. We sought understand the biological mechanisms underlying IVIG GGT Method explored association between levels and IVIG-resistance a cohort 686 KD (Cohort I). Gene expression data from 130 children acute II) were analyzed using R square statistic false discovery analysis identify genes...
Deep learning has been developed to generate promising super resolution hyperspectral imagery by fusing with the panchromatic band. However, it is still challenging maintain edge spectral information in necessary upsampling processes of these approaches, and difficult guarantee effective feature extraction. This study proposes a pansharpening network denoted as HyperRefiner that consists of, (1) well performing SRNet, which dual attention block refined are cascaded accomplish extraction...
The autoencoder (AE) framework is usually adopted as a baseline network for hyperspectral unmixing. Totally AE performs well in unmixing through automatically learning low-dimensional embedding and reconstructing data. However, most available AE-based networks do not fully consider the spatial spectral information of different ground features images output relatively fixed ratios linear nonlinear photon scattering effects under scenarios. Therefore, these methods have poor generalization...
Danqi soft capsule (DQ) is a Chinese herb medicine with remarkable protective effect on cardio-cerebrovascular diseases.The study aimed to investigate the role and mechanism of DQ left atrial (LA) remodeling fibrillation (AF) occurrence in rats post-myocardial infarction (MI) induced heart failure (HF).MI was established by ligation anterior descending coronary artery. administered post-MI HF over 4-week period. AF inducibility detected using transesophageal programmed electrical stimulation...
Graphene quantum dot implanted supramolecular carbon nitrides exhibit superior visible-light photocatalytic activity in the degradation of aqueous contaminants emerging concern.