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Zhi-Zhun Mo,Zhi-Xiu Lin,ZiRen Su,Lin Zheng,Hui-Lin Li,JianHui Xie,Yan-Fang Xian,Tie-Gang Yi,Shui-Qing Huang,Jian-Ping Chen 한국식품영양과학회 2018 Journal of medicinal food Vol.21 No.9
Angelica sinensis (AS, Danggui in Chinese) is an important herbal component of various traditional formulae for the management of asthenia and its tonic effects. Although AS has been shown to ameliorate cognitive damage and nerve toxicity in D-galactose (D-gal)-elicited senescent mice brain, its effects on liver and kidney injury have not yet been explored. In this work, mice were subjected to hypodermic injection with D-gal (200 mg/kg) and orally gavaged with AS (20, 40, or 80 mg/kg) once a day for 8 successive weeks. Results revealed that AS significantly improved liver and kidney function as assessed by organ index and functional parameters. In addition, AS pretreatment effectively ameliorated the histological deterioration. AS attenuated the MDA level and markedly enhanced the activities and gene expressions of antioxidative enzymes, namely Cu, Zn-SOD, CAT, and GPx. Furthermore, AS markedly inhibited the D-gal-mediated increment of expressions of inflammatory cytokines iNOS, COX-2, IκBα, p-IκBα, and p65 and promoted the IκBα expression level in both hepatic and renal tissues. In sum, AS pretreatment could effectively guard the liver and kidney of mice from D-gal-induced injury, and the underlying mechanism was deemed to be intimately related to attenuating oxidative response and inflammatory stress.
Li Zhao,Jianhui Zhi,Ningning Yin,Yong Chen,Jin Li,Jiaolong Liu 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.2
In this paper, a novel fi nite time parameter estimation method is proposed to solve the parameter estimation problem for a class of linearly parameterized nonlinear systems. The main feature of the proposed method is that the existing method is modifi ed via concurrent learning technique such that the strict persistence of excitation ( PE ) condition on the regression matrix is relaxed to a rank condition on the recorded data. This makes the presented method more practical. Furthermore, the convergence rate is improved signifi cantly by sliding mode technique in fi nite time sense. The simulation results of the existing general nonlinear system illustrate the aforementioned features. Comparison with existing methods from literature proves the eff ectiveness of the proposed method.