Yiqun Peng

ORCID: 0000-0002-6229-912X
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Research Areas
  • Bone Metabolism and Diseases
  • Bone health and osteoporosis research
  • Connective Tissue Growth Factor Research
  • Advanced SAR Imaging Techniques
  • Bone health and treatments
  • Connective tissue disorders research
  • Geophysical Methods and Applications
  • Microwave Imaging and Scattering Analysis
  • Geophysical and Geoelectrical Methods
  • Radar Systems and Signal Processing
  • TGF-β signaling in diseases
  • Underwater Acoustics Research
  • Hip and Femur Fractures
  • Growth Hormone and Insulin-like Growth Factors
  • Target Tracking and Data Fusion in Sensor Networks
  • Pulmonary Hypertension Research and Treatments
  • Gait Recognition and Analysis
  • Medical and Biological Sciences
  • Pelvic and Acetabular Injuries
  • Vitamin D Research Studies
  • Protease and Inhibitor Mechanisms
  • Retinoids in leukemia and cellular processes
  • Landslides and related hazards
  • Remote Sensing and Land Use
  • Image and Signal Denoising Methods

Central South University
2011-2024

Sanjiang University
2022-2023

Second Xiangya Hospital of Central South University
2004-2022

Hunan Normal University
2019-2022

Xiangyang Central Hospital
2021

Qingdao University
2018

Huazhong University of Science and Technology
2017

Yantaishan Hospital
2008

Arterial calcification is a major complication of cardiovascular disease. Oestrogen replacement therapy in postmenopausal women associated with lower levels coronary artery calcification, but its mechanism action remains unclear. Here, we show that oestrogen inhibits the osteoblastic differentiation vascular smooth muscle cells (VSMCs) vitro and arterial vivo by promoting autophagy. Through electron microscopy, GFP-LC3 redistribution, immunofluorescence analyses as well measurement...

10.1038/s41598-017-03801-x article EN cc-by Scientific Reports 2017-06-08

In target tracking applications by Doppler through-wall radar (TWR), the frequency ambiguity issue is a notable drawback, which can severely degrade localization performance. To overcome this convolutional neural networks (CNNs) based algorithm proposed in letter. First, short-time Fourier transform (STFT) used to acquire an echo spectrogram. Then, spectrogram resolution enhanced introducing modified CNN module. Compared with traditional module, additional weight block residual structure...

10.1109/lgrs.2023.3282700 article EN IEEE Geoscience and Remote Sensing Letters 2023-01-01

ABSTRACT Magnetotelluric is one of the mainstream exploration geophysical methods, which plays a vital role in studying deep geological structures and finding hidden blind ore bodies. The seriousness human electromagnetic noise causes large number abnormal waveforms time series measured magnetotelluric data, data can no longer objectively reflect underground electrical distribution. In this work, we propose processing method based on K singular value decomposition dictionary training. First,...

10.1111/1365-2478.13058 article EN Geophysical Prospecting 2020-11-27

The magnetotelluric (MT) data collected in an ore-concentration area are extremely vulnerable to all kinds of noise pollution. However, separating real MT signals from strong is still a difficult problem, and the quite distinct clean morphological features. By performing signal-noise identification prediction, we develop deep learning method denoise containing noise. First, use convolutional neural network (CNN) learn feature differences between samples massive learned features realize...

10.1190/geo2021-0449.1 article EN Geophysics 2022-10-21

This letter proposes a target localization algorithm for Doppler through-wall radar (TWR) based on the Hough transform and instantaneous frequency (IF) correction. first employs extended Bézier curve model, which is transform, to fit interested IF. Then, fitted IF used demodulate signal, error of tracked obtained by approximating demodulated signal. Finally, correct results fit, motion trajectory synthesized according corrected curve. The proposed method combines fitting with correction,...

10.1109/lgrs.2024.3355251 article EN IEEE Geoscience and Remote Sensing Letters 2024-01-01

Connective tissue growth factor (CTGF) plays an important role in the pathogenesis of atherosclerosis by promoting vascular smooth muscle cell (VSMC) growth, migration, apoptosis, adhesion and secretion matrix components. The osteogenic differentiation VSMCs is essential development calcification. However, CTGF transdifferentiation calcification unclear. In present study, we examined whether stimulates VSMC transdifferentiation. Primary were obtained from mouse thoracic aortas enzymatic...

10.3892/ijmm.2013.1398 article EN International Journal of Molecular Medicine 2013-05-29

Doppler through-wall radar (TWR) is one of the mainstream target positioning equipment, acquiring instantaneous frequency (IF) to achieve trajectory tracking. However, severe time–frequency interference leads a significant deviation estimated from actual position. Hence, in this work, we propose estimation algorithm based on enhancement. First, analysis (TFA) echo signal carried out by short-time Fourier transform (STFT). By analyzing distribution (TFD) signal, an overcomplete dictionary...

10.1109/tim.2022.3227997 article EN IEEE Transactions on Instrumentation and Measurement 2022-12-14

Through-wall radar-based target localization algorithm has great promise in the Internet of Things (IoT), such as indoor positioning, health monitoring, and surveillance. However, when locating multiple targets, time-frequency aliasing occurs echo's distribution (TFD), which makes it challenging to accurately extract instantaneous frequency (IF) curve from TFD, ultimately hindering achievement high-precision positioning. In this article, we propose a joint based on improved linear chirplet...

10.1109/jiot.2023.3336839 article EN IEEE Internet of Things Journal 2023-11-28

Doppler through-wall radar (TWR) enables non-contact behind-the-wall target trajectory tracking, which has a wide range of application scenarios in the field detection. However, when facing unknown wall parameters, detection accuracy TWR becomes severely limited. Hence, this work, we propose machine learning-based tracking algorithm for sensing applications. Firstly, using peak search method based on short-time Fourier transform (STFT) to obtain roughly predicted under free-space assumption....

10.1109/tim.2024.3369133 article EN IEEE Transactions on Instrumentation and Measurement 2024-01-01

The rate of bone turnover is closely related to osteoporosis risk. We investigated the correlation between markers and BMD at various skeletal sites in healthy native Chinese women, study effect changes levels on risk osteoporosis.A cross-section 891 women aged 20-80 years was conducted. serum osteocalcin (OC), bone-specific alkaline phosphatase (BAP), cross-linked N-terminal telopeptides type I collagen (sNTX), C-terminal (sCTX), urinary NTX (uNTX), CTX (uCTX) total deoxypyridinoline (uDPD)...

10.1186/1472-6823-14-8 article EN cc-by BMC Endocrine Disorders 2014-01-22

Clinical vertebral fractures and femoral neck are severe osteoporotic that increase morbidity mortality. Anthropometric variables associated with an increased risk of fractures, but it is not clear whether body surface area (BSA) has effect on clinically fractures. The study included total 3,694 cases clinical (2,670 females 1,024 males) controls without who were matched the by sex age. There was a significant positive correlation between BSA bone mineral density (BMD) in female male...

10.3389/fendo.2022.927344 article EN cc-by Frontiers in Endocrinology 2022-07-22

Receptor activator of NF‐κB (RANK) ligand (RANKL), expressed by cells the osteoblast lineage binds to RANK, induces signaling and a gene expression cascade that leads osteoclast differentiation activation. Recently, osteoblast‐derived membrane‐type matrix metalloproteinases‐1 (MT1‐MMP) have been implicated in process bone resorption degrading matrix. In present study, we investigated effects parathyroid hormone [PTH (1–34)] on RANKL MT1‐MMP production cultured normal human osteoblast‐like...

10.1081/erc-200033719 article EN Endocrine Research 2004-01-01
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