Xingda Chen

ORCID: 0009-0009-1302-4451
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About
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Research Areas
  • Machine Fault Diagnosis Techniques
  • Vitamin D Research Studies
  • Protein Kinase Regulation and GTPase Signaling
  • Water Quality Monitoring Technologies
  • Osteoarthritis Treatment and Mechanisms
  • Spine and Intervertebral Disc Pathology
  • Water Quality Monitoring and Analysis
  • Hydrology and Watershed Management Studies
  • Remote Sensing and LiDAR Applications
  • Engineering Diagnostics and Reliability
  • Fibroblast Growth Factor Research
  • Fault Detection and Control Systems
  • Microtubule and mitosis dynamics
  • Remote Sensing and Land Use
  • Hormonal Regulation and Hypertension
  • Cancer, Hypoxia, and Metabolism
  • 14-3-3 protein interactions
  • Musculoskeletal pain and rehabilitation
  • Fluorine in Organic Chemistry
  • Urban Heat Island Mitigation
  • Machine Learning in Bioinformatics
  • Remote-Sensing Image Classification
  • Flood Risk Assessment and Management
  • Gear and Bearing Dynamics Analysis
  • Hydrological Forecasting Using AI

Guangzhou Institute of Geochemistry
2025

Chinese Academy of Sciences
2025

Guangzhou Institute of Geography
2025

Guangdong Academy of Sciences
2025

First Affiliated Hospital of Guangzhou University of Chinese Medicine
2025

Foshan University
2024

Background The origin of intervertebral disc degeneration (IDD) is highly complex, where both cartilage endplate remodeling and vertebral osteoporosis are utmost importance. Myristic acid (MA), a saturated fatty derived from nutmeg, traditional Chinese herb, has been shown to boost memory. Additionally, its isomers have verified anti-osteoporotic characteristics. However, the precise mechanism by which MA functions in relation IDD remains unclear. Methods In vivo , naturally aged animal...

10.3389/fphar.2025.1517221 article EN cc-by Frontiers in Pharmacology 2025-04-01

In few-shot fault diagnosis tasks in which the effective label samples are scarce, existing semi-supervised learning (SSL)-based methods have obtained impressive results. However, industry, some low-quality hidden collected dataset, can cause a serious shift model training and lead to performance of SSL-based method degradation. To address this issue, latest prototypical network-based SSL techniques studied. most scenarios consider that each sample has same contribution class prototype,...

10.3390/s24216907 article EN cc-by Sensors 2024-10-28
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