A5103756852- Machine Fault Diagnosis Techniques
- Rheumatoid Arthritis Research and Therapies
- Gear and Bearing Dynamics Analysis
- Systemic Lupus Erythematosus Research
- Engineering Diagnostics and Reliability
- Fault Detection and Control Systems
- Educational Technology and Pedagogy
- Educational Technology and Assessment
- Structural Health Monitoring Techniques
- Monoclonal and Polyclonal Antibodies Research
- Advanced Sensor and Control Systems
- Viral-associated cancers and disorders
- Non-Destructive Testing Techniques
- Head and Neck Cancer Studies
- Industrial Vision Systems and Defect Detection
- Advanced Neural Network Applications
- Peripheral Neuropathies and Disorders
- Dialysis and Renal Disease Management
- Genetics and Neurodevelopmental Disorders
- Biosimilars and Bioanalytical Methods
- Hydrogen embrittlement and corrosion behaviors in metals
- Digital Rights Management and Security
- Chronic Lymphocytic Leukemia Research
- Wireless Sensor Networks and IoT
- Musculoskeletal synovial abnormalities and treatments
Chongqing University of Technology
2024-2025
Shandong Academy of Environmental Science
2024
Chongqing University
2020-2023
Harbin Electric Corporation (China)
2023
Dalian Municipal Central Hospital
2014-2022
Capital Medical University
2019-2020
Beijing Anzhen Hospital
2019-2020
East China Jiaotong University
2020
People's Hospital of Cangzhou
2007-2018
Peking University People's Hospital
2017
The fault diagnosis of the gearbox wind turbines is a crucial task for turbine operation and maintenance. Although convolutional neural network can extract related information adjacent sampling points using kernels, traditional deep learning methods have not leveraged from with large span vibration signal data. In this article, novel fast graph proposed to diagnose faults in turbines. First, original signals are decomposed by wavelet packet, which presents time–frequency features as graphs....
Environmental factors play an important role in the development of rheumatoid arthritis (RA). Among these factors, smoking is generally considered to be established risk factor for RA. Data regarding impact diet on RA limited. This study assessed dietary patterns susceptibility Chinese populations. was a large scale, case-control composed 968 patients with and 1037 matched healthy controls. Subjects were recruited from 18 teaching hospitals. Socio-demographic characteristics intakes 5 years...
Introduction: Research on esophageal squamous cell carcinoma (ESCC) in Asian American (AsA) populations frequently aggregates data, thereby overlooking the considerable diversity inherent within this demographic. The aim of study was to investigate variations ESCC characteristics and clinical outcomes among AsA. Methods: Patients diagnosed with were identified through Surveillance, Epidemiology, End Results (SEER) 17 database. AsA cohort categorized into specific subgroups: Chinese,...
The groove parameters on the friction base of wet clutches significantly affect temperature distribution steel plates. However, existing methods have not thoroughly investigated mechanisms by which these influence thermoelastic instability clutches. To address this gap, a comprehensive co-simulation model sub-multi-physical field was developed to systematically examine effects inclination, density, and depth surface mechanical response results indicate that both tilt angle grooves number...
Growth hormone (GH)-releasing peptides (GHRP), a class of synthetic peptidyl GH secretagogues, have been reported to exert cardioprotective effect on cardiac ischemia. However, whether GHRP beneficial chronic heart failure (CHF) is unclear, and the present work aims clarify this issue. At 9 wk after pressure-overload CHF was created by abdominal aortic banding in rats, one four variants (GHRP-1, -2, -6 hexarelin, 100 μg/kg) or saline injected subcutaneously twice day for 3 wk....
Abstract Wind turbine gearboxes work under random load for extended periods of time, and the fault detection indicator constructed by existing deep learning models fluctuate constantly due to load, which is easy cause frequent false alarms. Therefore, a multihead self-attention autoencoder network proposed combined with dynamic alarm threshold detect faults in wind gearbox subjected loads. The multiheaded attention mechanism layer enhances feature-extraction capability extracting global...
Data collected from the supervisory control and data acquisition (SCADA) system are widely used in wind farms to detect turbines’ (WTs) faults. However, it is challenging extract performance trends provide accurate alarms based on SCADA with large operating conditions fluctuations. This article presents a fault detection frame of subspace reconstruction-based robust kernel principal component analysis (SR-RKPCA) model for turbines nonlinear features under discontinuous interference. First,...
The aim of this study was to investigate the role renal Epstein-Barr virus (EBV) infection in pathogenesis lupus nephritis (LN). A total 58 tissue samples from patients with LN, seven normal non-glomerular hematuria and 37 minimal change nephropathy were collected. expression EBV-latent membrane protein-1 (EBV-LMP1) EBV-encoded RNA 1 (EBER-1) examined by immunohistochemistry (IHC) situ hybridization (ISH), respectively. sera levels anti-nuclear antibody as well antibodies extractable nuclear...
Double-filtration plasmapheresis with a plasma fractionator pore size of 20 nm should selectively remove large molecular weight substances like rheumatoid factor and IgM. This was proposed to be more likely helpful for arthritis than standard exchange.To evaluate the efficacy double-filtration (DFPP) in treatment patients active arthritis.Eighty-two were randomly assigned, 42 DFPP group 40 no-DFPP group. All received sulfasalazine (0.75 g 3 times daily) plus methotrexate (10 mg orally once...
Abstract Traditionally, most simulation approaches for pistons are conducted based on thermal-structure coupling, where the cooling boundary conditions determined by empirical formulas. However, these often suffer some decreases in accuracy of results. Aiming at problem, this paper conducts a thermal-fluid-structure coupling method piston large marine diesel engine, which employs computational fluid dynamics to identify conditions. Firstly, solid and models established. Then, process chamber...
Objective. To evaluate the effects of double filtration plasmapheresis (DFPP) in combination with leflunomide and methotrexate (MTX) on magnetic resonance imaging (MRI)-detected inflammatory changes (synovitis bone edema) patients early rheumatoid arthritis (RA) high disease activity. Methods. Sixty RA highly active 6 months’ to 3 years’ duration were randomized receive DFPP MTX (DFPP group), plus (no-DFPP group). The primary endpoint was improvement MRI-detected synovitis from baseline over...
The goal of fine-grained vehicle recognition is to identify the exact subtype from a given image. It plays an important role in intelligent traffic surveillance system. Although has attracted more and research interest, it remains as open problem for images taken arbitrary viewpoints. In this study, we present one-stage deep multi-task learning framework surveillance, which performs viewpoint estimation simultaneously. proposed framework, main task classifies into different types, auxiliary...
Abstract In the process of intelligent weld seam inspection, small seams are often prone to false detections or omissions. Existing methods simply concatenate feature segments during upsampling without analyzing importance each segment, leaving room for further improvement in detection accuracy. To address these issues, this study proposes a Feature Reorganization Network (FRNet) detecting target defects. First, C2f-Faster-EMA extraction module is designed using GSConv convolution, and...