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- 저자 : Linlin Qin (검색결과 3 건)
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Linlin Li,Xing Geng,Lili Tian,Dabo Wang,Qin Wang 대한약학회 2020 Archives of Pharmacal Research Vol.43 No.10
Grape seed proanthocyanidins (GSP) are knownas condensed tannins and have been used as an anti-oxidantin various neurodegenerative diseases. In our study, GSPwas used as a daily dietary supplement and the neuroprotectiveeffects were evaluated on the retinal ganglion cells(RGCs) in the retinal tissues in glaucomatous DBA/2D (D2)mice. D2 mice and age-matched non-glaucomatous DBA/2JGpnmb+(D2-Gpnmb+) mice were fed with GSP or a controldiet for up to 6 months. The intraocular pressure (IOP), RGCsurvival, glial fibrillary acidic protein (GFAP), the levels ofapoptotic proteins, and the expression of oxidative stressmarkers in retinal tissues were determined. In our study, theneuroprotective effects of GSP on retinal tissues were confirmed,as evidenced by (a) GSP inhibited the IOP elevationin D2 mice; (b) GSP enhanced RGC survival and mediatedthe apoptotic protein expression; (c) GSP suppressed GFAPexpression; and (d) the oxidative stress and the levels ofmitochondrial reactive oxygen species were regulated byGSP. Our findings indicate that GSP has promising potentialto preserve retinal tissue functions via regulating oxidativestress and mitochondrial functions.
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Short-Term Prediction of Disturbance Inputs of the Greenhouse System
Guoqi Ma,Linlin Qin,Xinghua Liu,Chun Shi,Gang Wu 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
Greenhouse microclimate control system is a typical hybrid system, in which the discrete (or logical) variables and continuous variables interact. The existence of outside measurable but uncontrollable disturbance inputs including outside temperature, humidity, wind speed, solar radiation, and et al, makes the control problem of greenhouse microclimate a challenging one and some conventional control methods not applicable, which motivates us to investigate the prediction problem of disturbance inputs of greenhouse control system. First, grey prediction model GM (1, 1) and time series model ARIMA (p, d, q) are adopted to predict the outside humidity over the next four hours, respectively. Then, considering the nonstationary property of the humidity sequence, wavelet analysis theory is applied to decompose the humidity sequence into different scales in order to reduce the randomness of the original sequence. Furthermore, the low frequency signal and high frequency one are predicted by GM (1, 1) and time series model ARIMA (p, d, q), respectively. Finally, simulation studies are carried out to compare the three prediction methods.
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Approximate Bisimulations for Constrained Discrete-Time Linear Systems
Guoqi Ma,Linlin Qin,Xinghua Liu,Chun Shi,Gang Wu 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
In this paper, we consider the problem of approximate bisimulations for constrained discrete-time linear systems. First, we develop a theory of approximation for transition systems with nondeterministic evolution. Then observation metrics are used to describe the bounded distance between system observations. Furthermore, we utilize a class of Lyapunov-like functions, called bisimulation functions, to characterize the approximate bisimulation relations. For the class of discrete-time linear systems with constrained inputs, we convert the problem of computing bisimulation functions to linear matrix inequalities (LMIs) and optimization problems. Finally, a numerical example is performed to verify the effectiveness of the approximation bisimulation framework design technique, and using multi-parametric toolbox (MPT), we also demonstrate the application to safety verification.
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