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Xinghua Zhang,Yantao Wang,Xiaofei Fan 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.2
In this paper, the stability analysis problem of linear systems with an interval time-varying delay is investigated. Firstly, an augmented Lyapunov-Krasovskii functional is constructed, which includes more informationof the delay’s range and the delay’s derivative. Secondly, based on two improved integral inequalities which are lessconservative than Jensen’s integral inequalities, a delay-range-partition (DRP) approach is proposed to estimate theupper bound of the derivative of the augmented Lyapunov-Krasovskii functional. Then, less conservative stabilitycriteria in the form of linear matrix inequality (LMI) are established no matter whether the lower bound of delayis zero or not. Finally, to illustrate the effectiveness of the stability criteria proposed in this paper, two numericalexamples are given, and their results are compared with the existing results.
Terminal sliding mode control of master-slave system with Markovian jump parameters
Xinghua Liu,Guoqi Ma,Hongsheng Xi,Weidong Wang 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
The finite-time synchronization of master-slave system with Markovian jump parameters is investigated in this paper. An equivalent control based terminal sliding mode control is proposed to guarantee the finite-time convergence of error dynamics. By using stochastic theory and Lyapunov method, some conditions are proposed to facilitate the sliding surface design. Furthermore, a desired controller is synthesized to ensure that the trajectory of the closed-loop error system can be driven onto the prescribed sliding mode surface. Finally numerical simulations are presented to illustrate the effectiveness of terminal sliding mode control scheme.
Zeng, Hui,Wang, Xue-Bin,Cui, Ning-Hua,Nam, Seungyoon,Zeng, Tuo,Long, Xinghua Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.15
Previous genome-wide association studies (GWAS) have implicated several single nucleotide polymorphisms (SNPs) in the AT-rich interactive domain 5B (ARID5B) gene with childhood acute lymphoblastic leukemia (ALL). However, replicated studies reported some inconsistent results in different populations. Using meta-analysis, we here aimed to clarify the nature of the genetic risks contributed by the two polymorphisms (rs10994982, rs7089424) for developing childhood ALL. Through searches of PubMed, EMBASE, and manually searching relevant references, a total of 14 articles with 16 independent studies were included. Odds ratios (ORs) with 95% confidence intervals (95%CI) were calculated to assess the associations. Both SNPs rs10994982 and rs7089424 showed significant associations with childhood ALL risk in all genetic models after Bonferroni correction. Furthermore, subtype analyses of B-lineage ALL provided strong evidence that SNP rs10994982 is highly associated with the risk of developing B-hyperdiploid ALL. These results indicate that SNPs rs10994982 and rs7089424 are indeed significantly associated with increased risk of childhood ALL.
The research of sleep staging based on single-lead electrocardiogram and deep neural network
Ran Wei,Xinghua Zhang,Jinhai Wang,Xin Dang 대한의용생체공학회 2018 Biomedical Engineering Letters (BMEL) Vol.8 No.1
The polysomnogram (PSG) analysis is consideredthe golden standard for sleep staging under the clinicalenvironment. The electroencephalogram (EEG) signal isthe most important signal for classification of sleep stages. However, in-vivo signal recording and analysis of EEGsignal presents us with a few technical challenges. Electrocardiogramsignals on the other hand, are easier torecord, and can provide an attractive alternative for homesleep monitoring. In this paper we describe a method basedon deep neural network (DNN), which can be used for theclassification of the sleep stages into Wake (W), rapid-eyemovement(REM) and non-rapid-eye-movement (NREM)sleep stage. We apply the sleep stage stacked autoencoderto constitute a 4-layer DNN model. In order to test theaccuracy of our method, eighteen PSGs from the MIT-BIHPolysomnographic Database were used. A total of 11 featureswere extracted from each electrocardiogram recordingThe experimental design employs cross-validationacross subjects, ensuring the independence of the trainingand the test data. We obtained an accuracy of 77% and aCohen’s kappa coefficient of about 0.56 for the classificationof Wake, REM and NREM.
Guang Li,Bo Wang,Xiangchao Ding,Xinghua Zhang,Jian Tang,Huiqing Lin 생화학분자생물학회 2021 Experimental and molecular medicine Vol.53 No.-
Extracellular vesicles (EVs) can be used for intercellular communication by facilitating the transfer of miRNAs from one cell to a recipient cell. MicroRNA (miR)-210-3p is released into the blood during sepsis, inducing cytokine production and promoting leukocyte migration. Thus, the current study aimed to elucidate the role of plasma EVs in delivering miR-210-3p in sepsis-inducedacute lung injury (ALI). Plasma EVs were isolated from septic patients, after which the expression of various inflammatory factors was measured using enzyme-linked immunosorbent assay. Cell viability and apoptosis were measured via cell counting kit-8 and flow cytometry. Transendothelial resistance and fluorescein isothiocyanate fluorescence were used to measure endothelial cellpermeability. Matrigel was used to examine the tubulogenesis of endothelial cells. The targeting relationship between miR-210-3p and ATG7 was assessed by dual-luciferase reporter assays. The expression of ATG7 and autophagy-related genes was determined to examine autophagic activation. A sepsis mouse model was established by cecal ligation and puncture (CLP)-induced surgery. The level of miR-210-3p was highly enriched in septic EVs. MiR-210-3p enhanced THP-1 macrophage inflammation, BEAS-2B cell apoptosis, and HLMVEC permeability while inhibiting angiogenesis and cellular activity. MiR-210-3p overexpression reduced ATG7 and LC3II/LC3I expression and increased P62 expression. Improvements in vascular density and autophagosome formation, increased ATG7 expression, and changes in the ratio of LC3II/LC3I were detected, as well as reduced P62 expression, in adenovirusanti-miR-210-3p treated mice after CLP injury. Taken together, the key findings of the current study demonstrate that plasma EVs carrying miR-210-3p target ATG7 to regulate autophagy and inflammatory activation in a sepsis-induced ALI model.
Zhang, Lu,Feng, Qiang,Wang, Jiuling,Zhang, Shuai,Ding, Baoquan,Wei, Yujie,Dong, Mingdong,Ryu, Ji-Young,Yoon, Tae-Young,Shi, Xinghua,Sun, Jiashu,Jiang, Xingyu American Chemical Society 2015 ACS NANO Vol.9 No.10
<P>The functionalized lipid shell of hybrid nanoparticles plays an important role for improving their biocompatibility and <I>in vivo</I> stability. Yet few efforts have been made to critically examine the shell structure of nanoparticles and its effect on cell–particle interaction. Here we develop a microfluidic chip allowing for the synthesis of structurally well-defined lipid-polymer nanoparticles of the same sizes, but covered with either lipid-monolayer-shell (MPs, monolayer nanoparticles) or lipid-bilayer-shell (BPs, bilayer nanoparticles). Atomic force microscope and atomistic simulations reveal that MPs have a lower flexibility than BPs, resulting in a more efficient cellular uptake and thus anticancer effect than BPs do. This flexibility-regulated cell–particle interaction may have important implications for designing drug nanocarriers.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancac3/2015/ancac3.2015.9.issue-10/acsnano.5b05792/production/images/medium/nn-2015-05792e_0007.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nn5b05792'>ACS Electronic Supporting Info</A></P>
Applying the Principle of Maximum Entropy in Bayesian Prior Distribution Assignment
Song, Mingshun,Fang, Xinghua,Wang, Wei The Korean Society for Quality Management 2009 The Asian Journal on Quality Vol.10 No.3
Under the prior information that upper and lower bounds of the random quantity are symmetric with respect to the best estimate, this paper analyses the Bayesian prior distribution assignment using the principle of maximum entropy. With the exact lower and upper bounds, it approves uniform for the probability density function of the quantity and it has a curvilinear trapezoidal form for the inexact lower and upper bounds.