Shi Hui Zhang

A KNN-based model for non-invasive prediction of hemorrhagic shock severity in prehospital settings: integrating MAP, PBUCO2, PTCO2, and PPV

Peng Zhao, Wencai Pan, Jiaqing Yang, Shi Hui Zhang et autres

Rapid prehospital assessment of hemorrhagic shock severity is critical for trauma triage and intervention. Current non-invasive single-parameter monitoring shows limited diagnostic reliability. We developed a multi-parameter predictive model integrating mean arterial pressure (MAP), buccal mucosal CO₂ (P BU CO₂), transcutaneous oxygen (P …

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Direction-of-Arrival Estimation in Time-Modulated Linear Arrays Based on the MT-BCS Approach

Qinghe Zhang, En-Yu Zhang, Shi Hui Zhang

This article proposes a novel approach for the estimation of the direction-of-arrival (DoA) of multiple signals impinging on time-modulated arrays (TMAs). The algorithm transforms DoA estimation into compressive sensing (BCS) formulation to tackle the sparse signal problem. Based on the voltage outputs …

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Circ_0004712 Silencing Suppresses the Aggressive Changes of Rheumatoid Arthritis Fibroblast-Like Synoviocytes by Targeting miR-633/TRAF6 Axis

Shi Hui Zhang, Chao Gao, Xiaolong Du, Wentao Zhang et autres

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Circular RNA circ_0020014 contributes to osteoarthritis progression via miR-613/ADAMTS5 axis

Fei Cong, Wentao Zhang, Tao Song, Shi Hui Zhang et autres

Circular RNAs (circRNAs) have been shown to be significant regulators in osteoarthritis (OA), whereas the functional effect of circ_0020014 in OA remains unclear. Our goal was to try and understand the underlying regulatory mechanism of circ_0020014 in OA. The cartilage tissue was …

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Electromagnetic Response Prediction of Reflectarray Antenna Elements Based on Support Vector Regression

Qinghe Zhang, Shi Hui Zhang, Chao Yi, Guangxu Liu

In this letter, support vector regression (SVR) is used to predict the electromagnetic (EM) response of a complex shaped reflectarray (RA) unit cell. The calculation of the scattering coefficients of passive RA elements with periodic intervals is firstly transformed into a regression …

Efficient Graphene Reconfigurable Reflectarray Antenna Electromagnetic Response Prediction Using Deep Learning

Li Ping Shi, Qing He Zhang, Shi Hui Zhang, Chao Yi et autres

Aiming at the time-consuming problem of the full-wave (FW) simulation of the scattering characteristics of the traditional graphene reconfigurable reflectarray antenna, a fast prediction method of electromagnetic (EM) response based on deep learning is proposed. The convolutional neural network (CNN) method in …

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Accurate Characterization of Graphene Reconfigurable Reflectarray Antenna Element by SVR

Li Ping Shi, Qinghe Zhang, Shi Hui Zhang, Guangxu Liu et autres

The analysis of the graphene reconfigurable reflectarray antenna electromagnetic (EM) response through the use of support vector regression (SVR) has been carried out in this paper. The EM response of the original graphene reflectarray antenna is transformed into a regression estimation problem …

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Targeting the CtBP1-FOXM1 transcriptional complex with small molecules to overcome MDR1-mediated chemoresistance in osteosarcoma cancer stem cells

Xun Chen, Qian Zhang, Xiaoqian Dang, Tao Song et autres

Chemoresistance is a major barrier for the chemotherapy of osteosarcoma.The induction of multidrug resistance protein 1 (MDR1), an ATP-dependent transporter, can efflux anti-cancer drugs, thereby decreasing chemosensitivity.However, an actual involvement of MDR1 in the chemoresistance of osteosarcoma cells has not been established.We …

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Predicting Electromagnetic Response of Graphene Reconfigurable Patch Antenna Using SVR

Li Ping Shi, Qing He Zhang, Shi Hui Zhang, Guang Xu Liu et autres

In this paper, the application of advanced Support Vector Regression (SVR) approach in predicting the electromagnetic (EM) response of graphene reconfigurable patch antenna is mainly introduced. First, the EM response evaluation problem is recast as a vector regression problem, and then SVR …

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Joint DoA and BW Estimation of Time-Modulated Linear Array Based on MT-BCS

Shi Hui Zhang, Qing He Zhang, Li Ping Shi, Chao Yi et autres

The problem of the estimation of the direction-of-arrival(DoA) and the bandwidth(BW) of wideband signals impinging on time-modulated linear array(TMLA) of electromagnetic sensors is addressed in this work. Starting from the voltages measured at the output of the TMLA elements at multiple time …

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MT-BCS-Based DoA and Bandwidth Estimation of Unknown Signals through Multiple Snapshots Data

Shi Hui Zhang, Qing He Zhang, Li Ping Shi, Chao Yi et autres

The Direction-of-Arrival (DoA) and bandwidth (BW) estimation strategy impinging on a linear array using multiple snapshots data is addressed within the multitask Bayesian Compressive Sensing (MT-BCS). The DoA estimation is used as the reconstruction of sparse signal constrained by the Laplace prior …

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DoA and Bandwidth Estimation of Unknown Signals Based on MT-BCS through Multiple Snapshots Data

Shi Hui Zhang, Qing He Zhang, Li Ping Shi, Chao Yi et autres

Based on the multi-task Bayes Compressive Sensing (MT-BCS), a Direction-Of-Arrival (DOA) and bandwidth (BW) estimation strategy impinging on a linear array using multiple snapshots data is proposed. The DOA estimation is using as the reconstruction of sparse signal constrained by the Laplace …

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