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CCl_4로 誘發된 白鼠의 肝損傷에 대한 葛根의 肝保護作用 연구
현동환,정선영,정상신,하기태,김철호,김동욱,김준기,최달영 대한동의생리학회,대한동의병리학회 2003 동의생리병리학회지 Vol.17 No.2
In the present study, we investigated the protective effect of the Puerarie Radix water extract (PRE) against CCI_4-induced hepatotoxicity and the mechanism underlying these protective effects in the rats. The pretreatment of PRE has shown to possess a significant protective effect by lowering the serum alanine and aspartate aminoteansferase (AST and ALT) and alkaline phosphatase (ALP). This hepatoprotective action was confirmed by histological observation. In addition, the pretreatment of PRE prevented the elevation of hepatic malondialdehyde (MDA) formation and the depletion of reduced glutathione (GSH) content and catalase activity in the liver of CCI_4-injected rats. The PRE also displayed hydroxide radical scavenging activity in a dose-dependent manner (IC50 = 83.6 ㎍/ml), as assayed by electron spin resonance (ESR) spin-trapping technique. Moreover, the expression of cytochrome P450 2E1 (CYP2E1) mRNA, as measured by reverse transcriptase-polymerase chain reaction (RT-PCR), was significantly decreased in the liver of PRE-pretreated rats when compared with that in the liver of control group. Based on these results, it was suggested that the hepatoprotective effects of the PRE may be related to anfioxidant effects and regulation of CYP2E1 gene expression
현동환,성동수,이건배 京機大學校 2006 論文集 Vol.50 No.-
In this paper, we study on a distributed conference system among a multipoint mulltimedia conference system. Then, we propose a clustering method which can solve drawbacks of the distributed conference system. Simulation results show that the clustering method provides a stable service to provide a consistent service for increasing number of conferences and participants.
$CC1_4$로 유발된 백서의 간손상에 대한 갈근의 간보호작용 연구
현동환,정선영,정상신,하기태,김철호,김동욱,김준기,최달영,Hyun Dong Hwan,Jung Sun Yeong,Jung Sang Shin,Ha Ki Tae,Kim Cheorl Ho,Kim Dong Wook,Kim June Ki,Choi Dall Yeong 대한동의생리학회 2003 동의생리병리학회지 Vol.17 No.2
In the present study, we investigated the protective effect of the Puerarie Radix water extract (PRE) against CCl₄-induced hepatotoxicity and the mechanism underlying these protective effects in the rats. The pretreatment of PRE has shown to possess a significant protective effect by lowering the serum alanine and aspartate aminoteansferase (AST and ALT) and alkaline phosphatase (ALP). This hepatoprotective action was confirmed by histological observation. In addition, the pretreatment of PRE prevented the elevation of hepatic malondialdehyde (MDA) formation and the depletion of reduced glutathione (GSH) content and catalase activity in the liver of CC1₄-injected rats. The PRE also displayed hydroxide radical scavenging activity in a dose-dependent manner (IC50 = 83.6 μg/ml), as assayed by electron spin resonance (ESR) spin-trapping technique. Moreover, the expression of cytochrome P450 2E1 (CYP2E1) mRNA, as measured by reverse transcriptase-polymerase chain reaction (RT-PCR), was significantly decreased in the liver of PRE-pretreated rats when compared with that in the liver of control group. Based on these results, it was suggested that the hepatoprotective effects of the PRE may be related to antioxidant effects and regulation of CYP2E1 gene expression.
현동환,이수홍 한국CDE학회 2022 한국CDE학회 논문집 Vol.27 No.1
Continual learning is a method that contrasts with the existing model learning method. The existing general learning method is a mini-batch setting training method which is preparing all data as a bundle is necessary. In this case, high performance is guaranteed because the model is able to learn about all cases of prepared datasets. However, this kind of setting is impractical in actual field application; field of production and manufacturing. To improve the model already learned once, it is necessary to tune data and retrain it. To compensate for these weaknesses, it is necessary to configure an algorithm so that new data can be continuously learned after field application. In Continual learning, the model constantly learns by streaming data in real time so it adapts to new data and constructs better model. In this study, to prevent catastrophic forget- ting, we use improved GDumb which is replay-based method and tested with MVTec dataset.