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Effect of Mung Bean Ethanol Extract on Pro-inflammtory Cytokines in LPS Stimulated Macrophages
이석준,Ji Hye Lee,임지영,Han-Hyung Lee,전태훈,Seul Lee,김세헌 한국식품과학회 2011 Food Science and Biotechnology Vol.20 No.2
The anti-inflammatory effect of mung bean ethanol extract on lipopolysaccharide (LPS) stimulated macrophages (J774) was evaluated. The mung bean extract was separated into 5 fractions by normal phase silica gel column chromatography and the mRNA expressions of pro-inflammatory cytokines were examined after incubation with each fraction in LPS stimulated macrophages. All pro-inflammatory cytokines including interleukin (IL)-1β,IL-6, IL-12β, tumor necrosis factor (TNF)-α, and inducible NO synthase (iNOS) were remarkably decreased in the cells treated with 3.7 mg/mL of F3 fraction. The active F3fraction did not show any cytotoxcity according to propidium iodide staining and no inhibitory effects on J774cell proliferation were observed by MTT assay. The active fraction contained gallic acid, vitexin, and isovitexin as major components.
이석준,Lee, Seog-Jun 한국경영정보학회 2003 Asia Pacific Journal of Information Systems Vol.13 No.2
This study was conducted to analyze Korean companie's perception in IT investment cost-benefit analysis(CBA), and to see if various user group's perception is different. Literature was reviewed to classify and define variables in IT CBA, and questionnaire was distributed to CEOs, CIOs, IT managers, and general managers in Korean companies. Respondent's priority ranking in IT CBA was shown to be tangible benefit, direct cost/intangible benefit, and indirect cost/risk. Data analysis showed that Korean companie's actual practice in CBA was generally aligned with their perception. User group's(Executives vs. mangers, and IT managers vs. general managers) perception was not shown to be statistically different. Survey result also showed that IT CBA was not well practiced in the companies although respondents perceive the analysis very important. These findings suggest that more education and practical experience is needed for Korean companies to perform IT CBA.
유씨소요산(柳氏逍遙散)과 유씨귀비탕(柳氏歸脾湯)의 항(抗)스트레스 효과(效果)에 관(關)한 임상적(臨床的) 연구(硏究)
이석준,류희영,Lee Sek-Jun,Lyu Heui-Yeong 대한한방신경정신과학회 1994 동의신경정신과학회지 Vol.5 No.1
The objective of this paper is to verify clinical effects of Lyu's Soyosan(柳氏逍遙散) and Lyu's Kwipithang(柳氏歸脾湯). They were prescribed to the enperimental student group suffering from mental stress and annoyed by psychological instability. From the biochemical examination before and after medication, we measure the amount of hormonal variation in thyroid hormone(TSH, $T_4$) and adrenocortical hormone(ACTH, cortisol) The results are as follows. 1. The average of self-rating anxiety scale(SAS) in test group is $41.00\;{\pm}\;7.84$. This value is statistical significant and higher than one of normal person(age 20-39). The average of a global assesment of recent stress(GARS) scale is $28.62\;{\pm}9.00$. There is statistical correlation coefficient between SAS and GARS (p < 0.001). 2. Both Lyu's Soyosan(柳氏逍遙散) and Lyu.s Kwipithang (柳氏歸脾湯) groups show statistically significant reduction of total cholesterol and triglyceride level in serum lipid after ten day medication. 3. It is observed that Lyu's Soyisan(柳氏逍遙散) and Luy's Kwipithang (柳氏歸脾湯) groups have increasing tendency of TSH. The statistically significant reduction of $T_4$ was found in two groups after ten day medicaton. 4. It is observed that Lyu's Soyosan(柳氏逍遙散) and Lyu's kwipithang (柳氏歸脾湯) group have statistically significant reduction of serum cortisol level after ten day medication, Both groups have statistically significant reduction of plasma ACTH level after twenty day medication. From these results, it is verified that both Lyu's Soyosan(柳氏逍遙散) and Lyu's Kwipithang (柳氏歸脾湯) have anti-stress effects against psychological instability and mental stress. The Lyu's Soyosn(柳氏逍遙散) shows special effectiveness in depression of liver-energy(肝氣鬱結) and the Lyu's Kwipitang (柳氏歸脾湯) is also effective in deficiency heart-blood(心血不足).
근접 이웃 선정 협력적 필터링 추천시스템에서 이웃 선정 방법에 관한 연구
이석준,Lee, Seok-Jun 한국데이터정보과학회 2009 한국데이터정보과학회지 Vol.20 No.5
협력적 필터링 기법은 전자상거래에서 거래되는 아이템에 대하여 고객들이 평가한 선호 정보를 이용하여 특정 상품에 대한 선호도 예측 대상 고객의 선호도를 예측하는 기법이다. 협력적 필터링 기법을 통한 예측 정확도를 향상시키기 위해서는 예측에 이용할 수 있는 고객들의 선호 정보를 충분히 확보하여야 한다. 그러나 과도한 이웃 고객의 선호 정보는 오히려 예측 정확도에 부정적 영향을 미치며 또한 과소 정보 역시 예측 정확도 감소에 영향을 미칠 수 있다. 본 연구에서는 협력적 필터링 알고리즘 적용에 있어 k명의 근접 이웃을 결정하는 이웃 선정방법을 개선하였으며 개별 고객의 선호도 평가 정보를 이용하여 적정 이웃 수를 결정할 수 있는 방법을 제시한다. 본 연구의 결과는 근접 이웃 수 결정을 위한 기존 방법인 탐색적 방법을 개선함과 동시에 선호도 예측 정확도를 향상시키는데 유용한 방법을 제공할 수 있다. Collaborative filtering approach predicts the preference of active user about specific items transacted on the e-commerce by using others' preference information. To improve the prediction accuracy through collaborative filtering approach, it must be needed to gain enough preference information of users' for predicting preference. But, a bit much information of users' preference might wrongly affect on prediction accuracy, and also too small information of users' preference might make bad effect on the prediction accuracy. This research suggests the method, which decides suitable numbers of neighbor users for applying collaborative filtering algorithm, improved by existing k nearest neighbors selection methods. The result of this research provides useful methods for improving the prediction accuracy and also refines exploratory data analysis approach for deciding appropriate numbers of nearest neighbors.