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가열처리에 의한 케일 녹즙의 영양기능성분 및 in Vitro 항암 효과의 변화
박순선,김보경,여익현,박건영,김태석 대한암예방학회 2007 Journal of cancer prevention Vol.12 No.4
Changes of major nutraceutical contents and in vitro anticancer effects of kale juices with cooking process were evaluated. Cooked kale juice was prepared with heat in boiling water at 100oC for 5min, 10 min and 20 min, respectively. The contents of carotenoids, chlorophylls and vitamin C of raw kale juice were higher than those in cooked kale juices. Though the levels of carotenoids were relatively stable, the contents of chlorophylls and vitamin C significantly decreased by the cooking treatment on a time-dependent manner (p<0.05). Lactobacillus sp. was only alive at raw kale juice. The kale juice inhibited the survival of AGS human gastric adenocarcinoma cells in MTT assay and growth inhibition test. The juice of raw kale showed higher inhibitory effect (77%) than those of the 5min (44%), 10min (39%) and 20 min (44%) cooked kale juices at 200μl/ml. The raw kale juice exhibited stronger antiproliferative effect than those of the cooked kale juices against the cancer cells. The raw kale juice induced apoptosis in the AGS cells was associated with the decreased mRNA expression of the anti-apoptotic Bcl-2 and increased the expression of Bax. (Cancer Prev Res 12, 303-309, 2007) Key Words: Kale juice, Cooking process, Nutraceuticals, Anticancer
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박순선 아세아여성법학회 2016 아세아여성법학 Vol.19 No.-
中國的“一帶一路”發展戰略是習近平主席在2013年出訪東南亞國家期間提出的建議, 目前已經上升爲國家重要的發展戰略。自由貿易區是實現“一帶一路”政策的重要手段, 因此相繼在上海, 福建, 天津, 廣東等地方設立自由貿易區。2013年設立上海自貿試驗區仲裁院, 2014年制定上海自貿試驗區仲裁規則。2016年武漢仲裁委員會在北京建立“一帶一路仲裁院”。基于“一帶一路”相關國家大部分都是經濟比較落后的發展中國家, 因此需要簽訂雙邊或多邊協議; 引進專業化的高素質仲裁員; 加强與相關國家的立法, 司法方面的交流, 以確保仲裁裁決的執行; 加强仲裁理論的交流與硏究, 以便更好地提供制度保障。
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Fault Localization for Self-Managing Based on Bayesian Network
박순선,박정민,이은석 한국정보처리학회 2008 정보처리학회 논문지 Vol.(이전)15 No.2
Fault localization plays a significant role in enormous distributed system because it can identify root cause of observed faults automatically, supporting self-managing which remains an open topic in managing and controlling complex distributed systems to improve system reliability. Although many Artificial Intelligent techniques have been introduced in support of fault localization in recent research especially in increasing complex ubiquitous environment, the provided functions such as diagnosis and prediction are limited. In this paper, we propose fault localization for self-managing in performance evaluation in order to improve system reliability via learning and analyzing real-time streams of system performance events. We use probabilistic reasoning functions based on the basic Bayes’ rule to provide effective mechanism for managing and evaluating system performance parameters automatically, and hence the system reliability is improved. Moreover, due to large number of considered factors in diverse and complex fault reasoning domains, we develop an efficient method which extracts relevant parameters having high relationships with observing problems and ranks them orderly. The selected node ordering lists will be used in network modeling, and hence improving learning efficiency. Using the approach enables us to diagnose the most probable causal factor with responsibility for the underlying performance problems and predict system situation to avoid potential abnormities via posting treatments or pretreatments respectively. The experimental application of system performance analysis by using the proposed approach and various estimations on efficiency and accuracy show that the availability of the proposed approach in performance evaluation domain is optimistic.
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