• 보건교육건강증진학회지
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• 제21권4호
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• pp.75-97
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• 2004

Objectives: To examine whether the socioeconomic characteristics of communities (contextual effects) are related to the self-rated health of community residents after controlling individual characteristics (compositional effects). Methods: A linked data set including information on individuals from raw data of 1998 Korean National Health and Nutrition Survey(KNHNS) and information on the regions where the individuals lived from the socioeconomic statistical indices of Si-Gun-Gu (city-county-ward) in 1998 was established. The contextual factors of communities were generated from these socioeconomic indices through factor analysis. The contextual effects of community over and above the individual characteristics on the self-rated health were investigated using multilevel analysis. Results: The contextual factors of the community expressed as the factor scores have influence on the self-rated health of their residents above the compositional factors. When the communities were categorized into 5 groups (highest, high, middle, low, lowest) according to each of their factor scores, for factor 1 reflecting urbanization reversely, the residents of the communities that had the high, middle, and low factor scores showed significantly poor subjective health status than the residents of the lowest (most urbanized) group. For factor 2 reflecting community services and health resources, the subjective health status of the residents gradually became poorer when the group went from the highest to the lowest, and the low and lowest groups showed a significant difference. For factor 3 reflecting the manufacturing industry, as compared with the communities that have the highest factor scores, the other 4 groups showed significantly poorer subjective health status. And for factor 4 reflecting the scale of the regional government, as compared with the middle group, the rest of the 4 groups showed significantly better self-rated health. Conclusions: There existed regional contextual effects on their residents' health in Korean adults. To make policies tackling these contextual effects possible, more elaborate researches to find more specific factors and to explain the mechanisms of how health is influenced by the contextual factors are needed.

• Journal of Plant Biotechnology
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• 제47권4호
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• pp.261-272
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• 2020

전세계적으로 유전자변형(GM)작물의 재배와 수입에 대한 승인이 급격히 증가하고 있다. 영양성분 비교평가는 실질적 동등성에 기반하여 GM작물의 안전성 평가에서 중요한 역할을 담당하고 있다. 영양성분 비교평가는 GM작물과 대조작물 사이의 성분함량에서 차이와 유사성을, 그리고 GM작물과 상업품종간의 성분함량의 동등성을 결정하는데 중점을 두고 있다. 분석항목은 일반성분, 주요 영양성분과 항영양소 등이며 일반적으로 OECD 합의문에서 작물별로 제안하고 있는 항목들을 포함한다. 영양성분 비교평가를 위해서는 비교군의 선정, 포장 시험, 분석방법, 데이터 통계 처리 등의 전 과정에 걸쳐 표준화된 방법을 이용하는 것이 중요하다. 본 연구에서는 코덱스와 유럽식품안전청의 식품용 GM작물의 영양성분 비교평가를 위한 가이드라인을 소개하였다. 그리고 국내외의 GM작물 영양성분 비교평가 연구 논문들에 나타난 분석항목과 대조작물, 참조군 품종, 재배연도, 재배지역, 통계방법 등을 검토하였다. 해외의 경우 대두와 옥수수, 면화 GM작물에서 여러 나라 수출을 위한 규제기관의 가이드라인에 따른 연구가 많았다. 반면 국내의 경우는 GM작물 실험연구적 측면에서 비교평가 진행되었으며 주로 GM벼에서의 연구가 많았다. 마지막으로 국내에서 GM작물의 영양성분 비교평가 연구 수행에 적용할 수 있는 참조군 선정과 포장재배에 대한 가이드를 제시하였다.

• 보건교육건강증진학회지
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• 제33권3호
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• pp.95-107
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• 2016

Objectives: Physical activity is well known as one of the most effective health behaviors for maintaining and promoting health. The purpose of this study was to investigate the regional variation, compositional and contextual factors on physical activities in Korea. Methods: This study analyzed data of 6,353 adults in 4th-1, 2 Korea National Health and Nutrition Examination Survey (KNHANES). Independent variables were compositional factors that included general characteristics, health behaviors, health status, and contextual factors that included physical environment, political environment, and social safety net. Dependent variables were vigorous physical activity, moderate physical activity, and walking activity. Multilevel analysis were used to determine a variation of physical activity between levels of compositional factors and contextual factors. Results: Physical activities of the Korean people were affected by the regional variables. Financial independence and population density were related with moderate physical activity significantly. Population density, school sport or rally spaces, cultural facilities, and social safety concerns were related with walking activity significantly. These variables impacted on physical activities along with variables at the individual level. Variance Partition Coefficient were 9.94% at moderate physical activity and 2.91% at walking activities, respectively. Conclusions: The results suggest that the regional variables should be considered when planning public intervention to promoting physical activities in Korean adults.

• Communications for Statistical Applications and Methods
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• 제27권1호
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• pp.149-161
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• 2020

In this paper we extend the functional principal component analysis for real-valued random functions to the case of Hilbert-space-valued functional random objects. For this, we introduce an autocovariance operator acting on the space of real-valued functions. We establish an eigendecomposition of the autocovariance operator and a Karuhnen-Loève expansion. We propose the estimators of the eigenfunctions and the functional principal component scores, and investigate the rates of convergence of the estimators to their targets. We detail the implementation of the methodology for the cases of compositional vectors and density functions, and illustrate the method by analyzing time-varying population composition data. We also discuss an extension of the methodology to multivariate cases and develop the corresponding theory.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1124-1124
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• 2001

CARNAC is a procedure for obtaining quantitative analysis of a sample by comparison of the NIR spectra of the unknown sample with a database of a large number of samples with NIR spectral and compositional data. The method depends on the compression of the NIR database followed by a modification of the compressed data which emphasizes the required analyte. The method identifies a few very similar samples and the value of the required analyte is calculated from a weighed average of the analyte values for the selected similar samples. The method was originally described at Chambersburg IDRC in 1986 and in the Proceedings of the FT Conference of 1987. This contribution will describe recent work on utilising new methods for both compression and modification.

• 응용통계연구
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• 제36권5호
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• pp.473-488
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• 2023

국내 대표 관광지인 강원도는 관광수요가 일부 지역에만 편중되어 있어 지역별로 다른 관광추이를 보인다. 따라서 각 지자체의 관광 활성화 방안 수립과 지역간 균형발전을 위해 각 지역의 관광 특성을 파악하고, 연도별 관광패턴을 비교하는 것이 중요하다. 본 논문에서는 최근 4년간의 강원도 관광 자료를 이용하여 지역을 군집화하고, 군집별 관광패턴을 Jeon 등 (2021)이 제안한 비유클리디안 가법모형으로 분석하였다. 이때, 연령대에 따른 방문자 수 비율과 방문지 유형에 따른 내비게이션 검색 수 비율을 공변량으로 하고, 업종별로 구분된 관광지출액 비율을 반응 변수로 하였다. 모형의 추정을 위해 평활역접합 방법과 성분별 띠폭 선택법을 이용하였다. 그리고 삼각 도표를 통해 추정된 모형을 시각화하고, 군집별로 적합 오차에 대한 예측 오차비율을 비교하여 연도별 관광패턴 변화를 확인하였다.

• Journal of Plant Biotechnology
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• 제45권4호
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• pp.289-298
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• 2018

국립농업과학원 생물안전성과는 생명공학기술로 개발되는 작물(GM작물)의 안전성 평가 중 '성분분석에 의한 비교평가'에 참고자료로 활용할 수 있도록 기존 상업화 작물성분의 분석 데이터를 제공하는 "작물성분 DB"를 구축하였다. "작물성분 DB"는 우리나라의 자연 환경에서 재배되는 주요 작물 품종들의 영양성분 함량정보를 제공함으로써 품종과 재배 지역, 연도에 따라 함량의 변화 정도를 확인할 수 있도록 데이터를 업그레이드 하고 있다. 현재 2곳 이상의 재배지역에서 2년 이상 재배한 벼와 고추 시료에 대한 주요 영양분과 항영양소, 2차 대사산물을 검증된 분석 방법을 사용하여 분석한 데이트를 제공하고 있다. 데이터는 평균값과 최저, 최대값을 제공함으로써 GM작물의 안전성 평가시 GM작물과 대응 비교작물 간에 나타나는 통계적 차이가 기존 상업작물의 생물학적 차이 또는 허용범위 내에 속하는지를 평가할 수 있도록 하였다. "작물성분 DB"는 사용자가 선택한 쿼리를 기반으로 쉽게 검색하고 활용하도록 하고 있다. 또한 유색미와 감자, 고구마, 콜리플라워와 같은 유색 작물의 기능성 성분 함량 정보를 제공하고 있어 일반 소비자들도 유용하게 정보를 활용할 수 있다. 본 논문은 상업작물 성분에 대한 중요한 정보를 제공하는 농진청 "작물성분 DB"의 구성과 사용법을 소개하였다.

• 한국작물학회지
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• 제63권4호
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• pp.360-377
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• 2018

The levels of 12 isoflavones were measured in soybean (Glycine max (L.) Merrill) sprouts of 68 genetic varieties from three countries (China, Japan, and Korea). The isoflavone profile differences were analyzed using data mining methods. A principal component analysis (PCA) revealed that the CSRV021 variety was separated from the others by the first two principal components. This variety appears to be most suited for functional food production due to its high isoflavone levels. Partial least squares discriminant analysis (PLS-DA) and orthogonal projections to latent structures discriminant analysis (OPLS-DA) showed that there are meaningful isoflavone compositional differences in samples that have different countries of origin. Hierarchical clustering analysis (HCA) of these phytochemicals resulted in clusters derived from closely related biochemical pathways. These results indicate the usefulness of metabolite profiling combined with chemometrics as a tool for assessing the quality of foods and identifying metabolic links in biological systems.

• Toxicological Research
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• 제24권2호
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• pp.113-117
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• 2008

Chronic exposure to ethanol induces cumulative damage to the liver starting from fatty infiltration to cirrhosis depending on the dose and duration of exposure. The whole process leading to the development of alcoholic liver disease is very complex and the mechanisms involved are not fully understood. Among many experimental animal models, Lieber-DeCarli liquid diet provides moderate to severe pathophysiological outcome depending on the compositional changes. In the present study, we investigated the temporal changes in the early phase hepatic disease in rats fed with standard Lieber-DeCarli diet. Male Wistar rats were fed with Lieber-Decarli ethanol diet for 6 weeks and the liver samples were obtained after 2, 4 and 6 weeks. Mild fatty infiltration was observed in 2 weeks of feeding and it became evident in 4 and 6 week samples. The level of hepatic triglyceride showed a good agreement with the data obtained in the pathological analysis. Feeding mice with ethanol diet resulted in the maturation and translocation of SREBP-1 to nucleus in the liver. Western blot analysis of the pooled liver sample of control and ethanol fed animals showed a clear-cut time-dependent increase in the expression of nSREBP-1. These data provide important information for selecting proper time point in experimental intervention study in the field of drug development for alcoholic liver disease.

• 복식문화연구
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• 제29권4호
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• pp.603-615
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• 2021

The aim of this study was to analyze the semantic network structure of keywords and the visual composition of images extracted from Instagram in relation to the multi-persona phenomenon with in fashion imagery, which has recently been attracting attention. To this end, the concept of a 'secondary character', which forms a separate identity from a 'main character' on various social media platforms as well as on the airwaves, was considered as the spread of multi-persona and #SecondaryCharacter on Instagram was investigated. 3,801 keywords were collected after crawling the data using Python and morphological analysis was undertaken using KoNLP. The semantic network structure was then examined by conducting a CONCOR analysis using UCINET and Netdraw to determine the top 50 keywords. The results were then classified into a total of 6 clusters. In accordance with the meaning and context of the keywords included in each cluster, group names were assigned : virtual characters, relationship with the main character, hobbies, daily record, N-job person, media and marketing. Image analysis considered the technical, compositional, and social styles of the media based on Gillian Rose's visual analysis method. The results determined that Instagram uses fashion images that virtualize one's face to produce multi-persona representation s that show various occupations, describe different types of hobbies, and depict situations pertaining to various social roles.