A5033860263- High Entropy Alloys Studies
- Additive Manufacturing Materials and Processes
- High-Temperature Coating Behaviors
- Traffic Prediction and Management Techniques
- Osteoarthritis Treatment and Mechanisms
- Human Mobility and Location-Based Analysis
- Engineering Diagnostics and Reliability
- Transportation Planning and Optimization
- Spine and Intervertebral Disc Pathology
- Machine Fault Diagnosis Techniques
- Welding Techniques and Residual Stresses
- Radiomics and Machine Learning in Medical Imaging
- NF-κB Signaling Pathways
- Geotechnical Engineering and Underground Structures
- Urban Transport and Accessibility
- Sparse and Compressive Sensing Techniques
- Bone Metabolism and Diseases
- Indoor and Outdoor Localization Technologies
- Geotechnical Engineering and Analysis
- Advanced MRI Techniques and Applications
- Advanced Welding Techniques Analysis
- Neural Networks and Applications
- Scientific Computing and Data Management
- Cybercrime and Law Enforcement Studies
- Imbalanced Data Classification Techniques
Shanghai University of Engineering Science
2023-2025
Affiliated Hospital of Nantong University
2017-2025
Nantong University
2017-2025
Wuhan University
2024-2025
Tongji Hospital
2025
Huazhong University of Science and Technology
2025
Second Affiliated Hospital of Nantong University
2017-2024
Beijing University of Posts and Telecommunications
2022-2024
Shanghai Technical Institute of Electronics & Information
2023-2024
Xidian University
2024
As a core technology of Intelligent Transportation System, traffic flow prediction has wide range applications. The fundamental challenge in is to effectively model the complex spatial-temporal dependencies data. Spatial-temporal Graph Neural Network (GNN) models have emerged as one most promising methods solve this problem. However, GNN-based three major limitations for prediction: i) Most spatial static manner, which limits ability learn dynamic urban patterns; ii) only consider...
A porous high entropy alloy (HEA) coating was prepared on a steel surface by vacuum sintering. The then used as transition layer during dissimilar laser joining of Al to steel. Compared with the uncoated joints, liquid spread and infiltrated into structure, contact angle weld reduced from 65.8° 56.7°, brazed width increased 5.1 mm 5.9 mm, which improved wettability spreadability molten filler wire substrate. In case steel, fusion zone/steel interfacial microstructure consisted laminated...
Trajectory Representation Learning (TRL) is a powerful tool for spatial-temporal data analysis and management. TRL aims to convert complicated raw trajectories into low-dimensional representation vectors, which can be applied various downstream tasks, such as trajectory classification, clustering, similarity computation. Existing works usually treat ordinary sequence data, while some important characteristics, temporal regularities travel semantics, are not fully exploited. To fill this gap,...
Abstract A metabolic bone disease characterized by decreased formation and increased resorption is osteoporosis. It can cause pain fracture of patients. The elderly are prone to osteoporosis more vulnerable In this study, radiomics extracted from computed tomography (CT) images screen in the elderly. Collect plain scan CT lumbar spine, cut region interest image extract features, use Lasso regression variables adjust complexity, python language model random forests, support vector machines, K...
Dissimilar laser joining of AA6061 aluminum alloy and low carbon steel was performed with the aid a porous FeCoCrNi high entropy (HEA) coating. At power, interfacial reaction zone mainly consisted η-Zn solid solution, Zn-Al eutectoid structure, extremely thin AlNi. Because poor wettability filler metal on substrate, joint strength (218.3 N/mm) fracture mode brittle fracture. in zone, amount solution gradually decreased AlNi became thickened. Enhanced improved strength. The maximum linear...
Abstract By improving the Bao system, a new 3D autonomous chaotic system is obtained. This paper nalyses phase diagram, bifurcation Lyapunov exponents, and complexity of revealing its rich dynamical behaviours. The exhibits extreme sensiti vity to both parameters initial conditions. Specifically, phenomena transient chaos, intermittent coexisting attractor are discussed. Furthermore, verify practical feasibility an analogue simulation circuit designed, digital circui t implemented using...
Abstract Objective To assess the accuracy of deep learning reconstruction (DLR) technique on synthetic MRI (SyMRI) including T2 measurements and diagnostic performance DLR (SyMRI DL ) in patients with knee osteoarthritis (KOA) using conventional as standard reference. Materials methods This prospective study recruited 36 volunteers 70 suspected KOA from May to October 2023. non-DLR (T2-SyMRI , T2-SyMRI) for phantom vivo cartilage were compared multi-echo fast-spin-echo (MESE) sequence...
Osteoporosis is a common bone disease that has become serious public health problem with the aging of population. Osteoclasts are only cells in body can resorb bone, whose dysfunction closely related to osteoporosis. Pyruvate kinase M2 (PKM2) one essential rate-limiting enzymes process glycolysis. This study aimed elucidate role PKM2 osteoclastogenesis and resorption. Bone marrow-derived macrophages (BMMs) were transfected adenovirus knock down expression gene or treated activators DASA-58...
This paper aims to design a deep learning-based mechanism for detecting and repairing API security vulnerabilities, enabling comprehensive monitoring automated remediation of interfaces. The proposed system architecture comprises three main modules: data acquisition sensing module real-time performance indicators, learning utilizing recurrent neural networks (RNN) analyze traffic identify potential repair that develops intelligent strategies based on the analysis results. Experimental...
Rationale: Necroptosis in astrocytes induced by mitochondrial dysfunction following spinal cord injury (SCI) significantly contributes to neuronal functional deficits. Mitophagy plays a crucial role clearing damaged mitochondria and inhibiting necroptosis. Fanconi anemia complementation group C (FANCC), member of the gene family, exerts protective facilitating mitophagy immune processes. However, FANCC SCI-induced astrocytic necroptosis underlying mechanisms remain unexplored. Methods:...
Deep unfolding network (DUN) has shed new light on multi-sequence MRI reconstruction, providing both high interpretability and acceptable performance. However, current approaches still suffer from the plight of information isolation, i.e., learning features multi-suquences individually leaving mask departed model updating. In this work, we propose a solution, namely Information-coupled Acceleration (IMA), to address isolation issue. Concretely, two specific mechanisms are presented. On one...
The processes of hydraulic fracturing to extract shale gas generate a large amount wastewater, and the potential impacts wastewater discharge after treatment are concerning. In this field study, we investigated effects irrigation paddy fields for 2 consecutive years by river water that has been influenced on soil physicochemical properties, microbial community structure function, rice grain quality. results showed conductivity, chloride sulfate ions in soils downstream outfall an...
Abstract The vibration signals on marine blowers are non-linear and non-stationary. In addition, the equipment in engine room is numerous affects each other, which makes it difficult to extract fault features of time domain. This paper proposes a diagnosis method based combination Ensemble Empirical Mode Decomposition (EEMD), an Autoregressive model (AR model) correlation coefficient method. Firstly, series Intrinsic Function (IMF) components were obtained after signal was decomposed by...
The cliff ecosystem is one of the least human-disturbed ecosystems in nature, and its inaccessible often extreme habitats are home to many ancient unique plant species. Because harshness habitats, their high elevation, steepness slopes, inaccessibility humans, surveying cliffs incredibly challenging. Comprehensive systematic information on vegetation cover not unavailable but obtaining such these fundamentally important priority for environmentalists. Traditional coverage survey methods-such...