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오유경 한국보건복지학회 2007 보건과 복지 Vol.9 No.-
This study aims to claim that the right of choice is offered or judged not by social rehabilitation instructors or experts but residents in group hame and also offer basic materials that gives a guidance to improve a quality of residents' life by expanding social welfare service and opportunities of appropriate education for their need and strengthening their options for their independent lives. For this study, I made up one-to-one questionnaire and postal questionnaire for hame helpers inhabiting in group homes from December in 2006 to January in 2007 and used 112 of 102 questionnaire for the purpose of research. This study analyzes the result fran the degree of home helpers' interfering role according to the residents' right of choice and determination and the degree of their participation. Through this study, as I expected from the purpose of the study, it is revealed that home helpers' role is focused on simply permanent protection for the mentally retarded. As a result, home helpers' interfering role can not help do a passive function as to have a great influence of the mentally retarded' living pattern and improve their the way of thought or living in small communities with their right of choice and determination. There is a lack of home helpers; professional knowledge to help the mentally retarded' daily lives. Therefore, to deal with their personal problems, the degree home helpers' interfering role takes up a great portion on the welfare service for the disabled. In this concern, there should be prompt measure for the base of workers' profession and through the workers' profession and the efficient program for them. the quality of life for group home residents should be improved.
Reduction of Oncogene Expression in Cancer Cells Using siRNA Delivery Systems
오유경,김은중,김영봉,최한곤,심창구 한국약제학회 2005 Journal of Pharmaceutical Investigation Vol.35 No.5
Recently, siRNA has been emerging as new therapeutic agents for various diseases such as cancers and infectious diseases. However, the evaluation for delivery systems for siRNA has not been fully done. In this study, we designed and delivered siRNA of oncogenic E6 and E7 proteins to several cell lines and tested the delivery efficiencies of various cationic nonviral delivery vectors. Of cationic delivery systems tested in this study, lipid-based Lipofectamine revealed higher delivery efficiency of siRNA to cervical cancer cell line, SiHa, compared to other delivery systems. Notably, the polyethylenimine, which showed the comparable delivery efficiencies in plasmid DNA, did not show significant delivery of siRNA in cervical cancer cells. These results indicate that the mechanisms involved in siRNA delivery might be different from those in plasmid DNA delivery, and that cationic lipid-based delivery vehicles deliver siRNA with higher efficiency to intracellular target sites.
편차정보기준을 이용한 베이지안 확률변동성 모형 선택에 관한 실증적 연구
오유경,최태련,조미형 한국자료분석학회 2012 Journal of the Korean Data Analysis Society Vol.14 No.4
본 논문에서는 금융 시계열 자료의 변동성을 설명하기 위하여 베이지안 확률 변동성 모형을 고려하고 편차정보기준(DIC; deviance information criterion)을 바탕으로 확률변동성 모형에 대한 베이지안 모형 선택 문제를 연구한다. 이러한 베이지안 확률 변동성 모형을 적합하기 위한 마르코프 연쇄 몬테칼로(MCMC) 방법들을 설명하고, 이를 바탕으로 WinBUGS를 이용한 여러 가지 변동성 모형 하에서의 모형 적합과 각 모형에서의 편차정보기준을 계산하고 비교하는 실증적 연구를 수행한다. 구체적으로, 네 가지 베이지안 변동성 모형을 고려하고 이를 바탕으로 모의실험 자료를 생성하여 모형 적합과 편차정보기준 계산을 통한 모형 비교를 수행하였다. 모의실험자료 뿐만 아니라 S&P 500 지수와 KOSPI 자료를 바탕으로 한 사례연구를 통하여 확률변동성 모형 적합과 편차정보기준을 활용한 모형 선택에 대한 실증적 분석을 수행하였다. In this paper, we consider Bayesian stochastic volatility models in order to explain the volatilities in the financial time series data and study Bayesian model selection of stochastic volatility models using deviance information criterion (DIC). We explain Markov chain Monte Carlo (MCMC) methods to estimate Bayesian stochastic volatility models, and perform empirical analysis by fitting various stochastic volatility models using WinBUGS, computing there DICs and comparing them. Specifically, numerical results on posterior estimation and DIC calculations are provided from empirical studies based on simulation data from four stochastic volatility models, and real applications using S&P index and KOSPI data are also considered for Bayesian model selection using DICs.