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      • KCI등재

        편정준상관 행렬도

        염아림,최용석,Yeom, Ah-Rim,Choi, Yong-Seok 한국통계학회 2011 응용통계연구 Vol.24 No.3

        행렬도는 이원표 자료행렬의 행과 열을 탐색하기에 유용한 그래프적 방법이다. 특히, 정준상관 행렬도는 정준상관분석의 결과를 이용하여 두 변수군과 개체간의 관계를 기하적으로 살펴볼 수 있다. 그 반면에 자료의 성격에 따라 세개 이상의 변수군이 존재하는 경우에는 정준상관분석의 개념에서 확장한 일반화 정준상관분석을 이용하여 일반화 정준상관 행렬도를 고려할 수 있다. 그러나 자료의 성격에 따라 두 변수군 외에 이들 두 변수군에 선형적 영향을 미치는 공변량변수로 이루어진 다른 한 변수군이 존재하는 경우에, 일반화 정준상관 행렬도를 적용한다면 공변량변수군의 영향력 때문에 주 관심인 두 변수군에 대하여 잘못 해석할 수 있다. 따라서 본 연구에서는 Rao (1969)의 공변량 변수군의 영향력을 제거한 편정준상관분석을 살펴보고, 이를 기하적으로 해석하기 위한 편정준상관 행렬도를 제안한다. Biplot is a useful graphical method to explore simultaneously rows and columns of two-way data matrix. In particular, canonical correlation biplot is a method for investigating two sets of variables and observations in canonical correlation analysis graphically. For more than three sets of variables, we can apply the generalized canonical correlation biplot in generalized canonical correlation analysis which is an expansion of the canonical correlation analysis. On the other hand, we consider the set of covariate variables which is affecting the linearly two sets of variables. In this case, if we apply the generalized canonical correlation biplot, we cannot clearly interpret the other two sets of variables due to the effect of the set of covariate variables. Therefor, in this paper, we will apply the partial canonical correlation analysis of Rao (1969) removing the linear effect of the set of covariate variables on two sets of variables. We will suggest the partial canonical correlation biplot for inpreting the partial canonical correlation analysis graphically.

      • 다출처 데이터 연계를 위한 매칭 방법론에 대한 리뷰

        염아림 ( Ah-rim Yeom ),이상인 ( Sangin Lee ) 충남대학교 기초과학연구원 2023 충남과학연구지 Vol.40 No.1

        Continuous research on “surveys” is needed to reduce the response burden and reduce survey costs. As a solution to this, it is possible to consider utilizing distributed data by “linking” them. By using data matching methodology, you will be able to secure a variety of information without investing a lot of research costs, and you will also be able to increase the value of existing collected data. Accordingly, in this paper, we summarized methodologies that can be applied when linking data and looked at use cases for them. Data linkage can be divided into exact matching and statistical matching. The biggest difference is that while exact matching links identical record using common variables, statistical matching finds and connects similar record that share the same characteristics. Additionally, as a result of examining use cases for each matching method, we were able to understand that data linkage methodology should be applied differently depending on the type or characteristics of the data, so it is important to understand the data first.

      • KCI등재

        뇌·신경과학 분야 연구결과의 임상 적용을 위한 방안

        조한별,김영훈,염아림,윤수정,Cho, Han Byul,Kim, Young Hoon,Yeom, Arim,Yoon, Sujung 대한생물정신의학회 2015 생물정신의학 Vol.22 No.3

        Psychiatry has progressed with neurobiological basis, providing individually tailored treatment, preventing mental illness, and managing public mental health. Foundational knowledge that may contribute to the development of psychiatry and neuroscience has been attained through continual national and international investment in research. However, this knowledge obtained from neurobiological research is not being applied to clinical practice proactively. This may be due to a lack of support for translational research connecting neuroscience with clinical practice, and a lack of development and availability of educational programs for clinical psychiatrists. To solve these problems, it is essential to support translational research conducted by clinicians and to establish an appropriate reward system. Considering the direction of progress in psychiatry and the demand from clinicians, appropriate investment in research and education programs that provide neurobiological knowledge applicable to clinical practice is required. Researchers and educators must also communicate and collaborate to deliver neurobiological findings effectively.

      • KCI등재

        고려 홍삼이 대뇌 백질 미세구조 및 인지기능에 미치는 효과 : 침입 오류를 중심으로

        정현석,김영훈,이선호,염아림,강일향,김지은,이정현,반순현,임수미,이선혜,Jeong, Hyeonseok S.,Kim, Young Hoon,Lee, Sunho,Yeom, Arim,Kang, Ilhyang,Kim, Jieun E.,Lee, Junghyun H.,Ban, Soonhyun,Lim, Soo Mee,Lee, Sun Hea 대한생물정신의학회 2015 생물정신의학 Vol.22 No.2

        Objectives Although ginseng has been reported to protect neuronal cells and improve various cognitive functions, relationship between ginseng supplementation and response inhibition, one of the important cognitive domains has not been explored. In addition, effects of ginseng on in vivo human brain have not been investigated using the diffusion tensor imaging (DTI). The purpose of the current study is to investigate changes in intrusion errors and white matter microstructure after Korean Red Ginseng supplementation using standardized neuropsychological tests and DTI. Methods Fifty-one healthy participants were randomly allocated to the Korean Red Ginseng (n = 26) or placebo (n = 25) groups for 8 weeks. The California Verbal Learning Test was used to assess the number of intrusion errors. Intelligence quotient (IQ) was measured with the Korean Wechsler Adult Intelligence Scale. Depressive and anxiety symptoms were evaluated using Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale, and Hopkins Symptom Checklist-25. The fractional anisotropy (FA) was measured from the brain DTI data. Results After the 8-week intervention, Korean Red Ginseng supplementation significantly reduced intrusion errors after adjusting age, sex, IQ, and baseline score of the intrusion errors (p for interaction = 0.005). Change in FA values in the left anterior corona radiata was greater in the Korean Red Ginseng group compared to the placebo group (t = 4.29, p = 0.04). Conclusions Korean Red Ginseng supplementation may be efficacious for improving response inhibition and white matter microstructure integrity in the prefrontal cortex.

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