Xia Fang

ORCID: 0000-0003-2470-5446
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About
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Research Areas
  • Industrial Vision Systems and Defect Detection
  • Machine Fault Diagnosis Techniques
  • Gear and Bearing Dynamics Analysis
  • Industrial Technology and Control Systems
  • Image and Object Detection Techniques
  • Additive Manufacturing and 3D Printing Technologies
  • Advanced ceramic materials synthesis
  • Advanced Sensor and Control Systems
  • Manufacturing Process and Optimization
  • Cancer-related molecular mechanisms research
  • Power Line Inspection Robots
  • Energy, Environment, Economic Growth
  • Engineering Diagnostics and Reliability
  • Advanced Neural Network Applications
  • Advanced Measurement and Detection Methods
  • Non-Destructive Testing Techniques
  • Immune Cell Function and Interaction
  • Remote Sensing and LiDAR Applications
  • Circular RNAs in diseases
  • Phagocytosis and Immune Regulation
  • Advanced materials and composites
  • MicroRNA in disease regulation
  • Genomics, phytochemicals, and oxidative stress
  • Date Palm Research Studies
  • Advanced Decision-Making Techniques

Sichuan University
2019-2025

West China Hospital of Sichuan University
2025

Wuhan University of Technology
2024-2025

Dalian Medical University
2025

Chongqing Medical University
2025

Second Affiliated Hospital of Chongqing Medical University
2025

Zhejiang A & F University
2022-2024

Anhui Polytechnic University
2023-2024

Zhejiang Gongshang University
2023-2024

Peking University
2024

A novel approach is presented in this research to improve the design of a combined cooling, heating, and power (CCHP) system. The focus study on gas turbine system that can provide efficient power, heating. efficacy proposed technique evaluated based four parameters, namely energetic, exergetic, economic, environmental features. To achieve superior optimal results, an Improved Mother Optimization Algorithm (IMOA), recently developed metaheuristic algorithm, employed. This provides...

10.1016/j.csite.2024.104005 article EN cc-by Case Studies in Thermal Engineering 2024-01-08

There is a need to address challenges faced in detecting and segmenting defects micro-vibration motor armatures, which are crucial components used digital devices. Due their complex structure tiny size, quality control during assembly difficult. In this paper, an adaptive segmentation quantization (ASQ) system based on YOLO 11 SAM proposed the issue above. The consists of target detection (TD) unit, shape (SS) quantitative assessment (AS) introduces practical combination YOLO11 for defect...

10.3390/pr13020532 article EN Processes 2025-02-14

Abstract Background The epidemic of metabolic dysfunction‐associated fatty liver disease linked to excessive high‐fat diet (HFD) consumption has sparked widespread public concern. Nuclear factor erythroid 2‐related 2 (NRF2) been reported improve glucose/lipid metabolism, lipid degeneration and alleviate HFD‐induced inflammation. However, its pathways mechanisms action are not fully understood. Methods To confirm the effect NRF2 on metabolism in liver, Nrf2‐/‐ mice as well liver‐specific Nrf2...

10.1002/ctm2.70233 article EN cc-by Clinical and Translational Medicine 2025-02-24

Bearing fault diagnosis is essential for the safe and stable operation of rotating machinery. Existing methods use signals from a single dimension, limiting diagnostic generality accuracy. To address these limitations make improved signal features multiple dimensions, novel convolutional neural network model with multi-dimensional inputs task outputs called MIMTNet proposed. First, frequency domain time graph are obtained by using short-time Fourier transform wavelet to process original...

10.1109/jsen.2021.3061595 article EN IEEE Sensors Journal 2021-02-23

Improving energy efficiency is an important pathway for the development of green and low-carbon economy. Based on evidence from China's finance reform pilot zone, we apply data Chinese prefecture-level cities 2005 to 2020 analyze action mechanism among finance, technological innovation efficiency. We find that effectively promotes Moreover, analysis reveals while can drive technology innovation, only high-quality (green invention patents) significantly increase The heterogeneity has a more...

10.1080/1540496x.2023.2226324 article EN Emerging Markets Finance and Trade 2023-07-13

10.1016/j.compag.2023.107825 article EN Computers and Electronics in Agriculture 2023-04-13

As a special insulation control, insulators protect transmission lines. In the process of detecting by UAV, locating is prerequisite for defect detection. However, complex line contexts, heavily occluded are abundant. This kind insulator difficult to locate accurately due its small size and extreme aspect ratio. To address this issue, an occlusion detection system based on YOLOX proposed in work. Firstly, improved SPP module used extract semantic information backbone's P5 layer. Secondly,...

10.1109/tpwrd.2024.3350162 article EN IEEE Transactions on Power Delivery 2024-01-09

Ganoderma lucidum has featured in traditional Chinese medicine for >1,000 years. polysaccharides (GL-PS), a major active ingredient Ganoderma, confer immune regulation, antitumor effects and significant antioxidant effects. The aim of the present study was to investigate efficacy mechanism GL‑PS‑associated inhibition ultraviolet B (UVB)‑induced photoaging human fibroblasts vitro. Primary skin were cultured, fibroblast model built through exposure UVB. Cell viability measured by MTT assay....

10.3892/mmr.2016.6026 article EN cc-by-nc-nd Molecular Medicine Reports 2016-12-12

With the development of modernization, micro-motors are widely used in industry. The quality its core armature components directly affects performance micro-motors. Detection methods rely on manual visual inspection, with problems fluctuating accuracy and low detection efficiency. A high-precision, high-efficiency system is proposed to address these issues. Deep learning techniques applied handle complex patterns. model consists feature-extraction module, feature-fusion module classifier...

10.1109/jsen.2022.3159293 article EN IEEE Sensors Journal 2022-03-14

The Pd-catalyzed relay Heck arylation of alkenyl alcohols with arylsulfonium salts is first reported for synthesizing arylalkyl ketones or aldehydes.

10.1039/d4qo00618f article EN Organic Chemistry Frontiers 2024-01-01

At present, Unmanned Aerial Vehicles (UAVs) combined with deep learning have become an important means of transmission line inspection; however, the current approach has problems high demand for manual operation, low inspection efficiency, results that do not reflect distribution defects on towers, and need a large number manually annotated captured images. In order to achieve UAV understanding structure towers identifying in parts three-granularity pose estimation framework multi-type...

10.3390/en18030488 article EN cc-by Energies 2025-01-22

To solve the problem of scale variation in insulator images captured by drones, caused lack control over angle and distance, which makes it hard to detect subtle defects, this paper proposes an instance segmentation method based on improved Mask2Former-HRNet model for precise localization defect detection transmission line insulators. First, a mask-guided matching component is added Mask2Former reduce misjudgment rate defects including noisy label masks. Second, HRNet backbone network used...

10.3390/pr13020316 article EN Processes 2025-01-23

A photoinduced copper-mediated acyloxylation of arylthianthrenium or arylphenoxathiinium salts with either aliphatic aromatic carboxylic acids is described for the convenient synthesis O-aryl esters. The reaction has shown obvious advantages, such as high efficiency, good functional group tolerance, excellent chemoselectivity, and capacity esterification complex drug molecules, offering a practical synthetic route to multifunctionalized sterically congested esters, which are potentially...

10.1021/acs.orglett.4c04755 article EN Organic Letters 2025-01-26

10.1109/tim.2025.3550636 article EN IEEE Transactions on Instrumentation and Measurement 2025-01-01

The classification of transmission tower bolt images faces challenges such as class imbalance, sample scarcity, and the low pixel proportion pins. Traditional methods exhibit poor performance in identifying key categories with small proportions, fail to leverage correlation between line fittings bolts, suffer from severe false positive issues. This study proposes a novel approach that dynamically integrates two sampling strategies address imbalance problem while incorporating contrastive...

10.3390/pr13030898 article EN Processes 2025-03-19

China has a large number of transmission lines laid in the mountains and forests other regions, these enable national strategic projects such as west-east power project. However, occurrence mountain fires corresponding areas will seriously affect projects. At same time, yield fewer image samples complex backgrounds. Based on this, this paper proposes line hill fire detection model with YOLOv11 basic framework, named meta-learning attention YOLO (MA-YOLO). Firstly, feature extraction module...

10.3390/en18061511 article EN cc-by Energies 2025-03-19

Long non-coding RNA (lncRNA), transcripts of >200 bp in length that do not appear to exhibit any coding capacity, are important the occurrence and development cancer, cardiovascular neurological diseases. However, effects lncRNAs on photo‑aging remain be elucidated. To explore potential lncRNA metastasis‑associated lung adenocarcinoma transcript 1 (MALAT1) fibroblasts, MALAT1 expression was silenced fibroblasts using small interference RNA. Reverse transcription‑quantitative polymerase chain...

10.3892/mmr.2017.6532 article EN cc-by-nc-nd Molecular Medicine Reports 2017-04-28
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