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The Role of Glucosides on the Thermal Stability of Color Produced by Anthocyanins from Red Cabbage
J. Michelle Lee,Moonsoo Jin 한국산업식품공학회 2015 산업 식품공학 Vol.19 No.2
Carbohydrate derivatives of cyanidin, a class of anthocyanin pigments, are major component of red cabbage, which is responsible for the characteristic reddish color. The color of cyanidin derivatives is quite stable against heat, and here we aimed to identify the chemical component of glucoside-derivatives of cyanidin which is responsible for the thermal stability. By comparing the thermal stability of color from unmodified cyanidin and cyanidin-3,5-diglucoside with the color of cyanidin derivatives from red cabbage, we found that the glucoside modification confers the thermal stability. We believe that our finding will contribute to the preparation of heat-resistant anthocyanin pigments for food coloring and other applications.
Moonsoo Cho(조문수),Tae-Jin Lim(임태진) 제어로봇시스템학회 2009 제어·로봇·시스템학회 논문지 Vol.15 No.7
Engineering design involves the specification of many variables that define a product, how it is made, and how it behaves applied to computer, communication and control fields. Before some variables can be determined, other variables must first be known or assumed. This fact implies a precedence order of the variables, and of the tasks of determining these variables consequently. Moreover, design of complex systems may involve a large number of design activities. In this paper, the activity-activity incidence matrix is considered as a representation of design activity analysis which mainly focuses on the precedence constraint with an object of doing !DEF3 in process-centered view. In order to analyze the activity-activity incidence matrix, a heuristic algorithm is proposed, which transforms an activity-activity, parameter-formula, and parameter-parameter incidence matrix into a lower triangular form. The analysis of the structured matrices can not only significantly reduce the overall project complexity by reorganizing few critical tasks in practice, but also aims at obtaining shorter times considering the solution structure by exploring concurrency.
모의 실험을 통한 혼합형 문항 검사의 문항반응이론 척도변환과 진점수동등화 조건 탐색
이문수(Moonsoo Lee),이규민(Guemin Lee),강상진(Sang-Jin Kang) 한국교육평가학회 2009 교육평가연구 Vol.22 No.3
이 연구는 공통문항 비동등 집단 설계에서 공통문항 구성의 조건별 차이와 문항반응이론 척도 변환 방법 간의 차이를 탐색함으로써 혼합형 문항 검사 동등화 연구의 실제적 적용을 목적으로 하였다.구체적으로 혼합형 문항 검사에서 문항반응이론 척도변환과 동등화 결과가 표본 크기,공통문항의 비율,공통문항 내에서의 선다형 문항과 구성형 문항의 구성 유형,척도변환 방법에 따라 차이가 있는지를 모의자료를 이용하여 검증해보았다.분석결과 혼합형 문항 검사에서 문항반응이론 척도변환과 동등화 결과는 표본 크기가 증가할수록,공통문항의 비율이 증가할수록,이분문항과 다분문항이 혼합된 형태로 공통문항을 구성하였을 때 안정적인 동등화 결과를 나타냈다.또한,척도변환 방법에 따른 문항반응이론 척도변환과 동등화 결과는 대부분의 조건에서 모수의 동시 추정 방법이 가장 작은 오차를 보였다. This paper aims to actually apply the study of equating the mixed-format tests by exploring the difference between the conditional construction of common-items in the common-item nonequivalent groups design and the method of IRT scale transformation. Specifically, the questions raised up by this study are as follows: Is there any difference in IRT scale transformation and the result of equating according to the size of the sample, the ratio of the common-items, the different construction types in the multiple-choice items and constructed-response items with in the common-items and the method of the scale transformation in the mixed format test? This study implemented a series of simulations to answer above questions. The results of the analysis were as follows. First, the larger the size of the sample was, the smaller the error was in the result ofIRT scale transformation and the equating. Second, as the rate of the common-items increased, the IRT scale transformation and equating in the mixed format tests became more stable. Third, the result of IRT scale transformation and that of equating were different according to the construction types of the common-items. By and large, in this case the most stable result was produced if dichotomous items and polytomous items in the common-items were combined. Lastly, in the mixed format test the result of IRT scale transformation and the equating based on the scale transformation method showed the least errors when using concurrent calibration method of the parameter in most of the conditions.
이문수(Moonsoo Lee),정여주(Yeoju Chung),김종민(Chong Min Kim),연규진(Kyu Jin Yon),김재훈(Jae Hoon Kim),김미림(Mirim Kim),김승수(Seungsoo Kim),류지원(Jiwon Ryu),차정인(Jeongin Cha) 한국상담학회 2024 상담학연구 Vol.25 No.4
본 연구는 청소년 스마트폰 과의존 척도-R의 하위요인을 확인하고 스마트폰 과의존 척도-R을 개발 및 타당화하고자 하였다. 이를 위해, 인터넷 및 스마트폰 중독 척도 관련 연구를 진행해온 학계 교수와 유관기관 담당자, 상담사 17명과 인터뷰를 실시하였고, 예비조사 청소년 504명, 본조사 1,000명의 데이터를 분석 및 활용하였다. 주요 결과는 다음과 같다. 첫째, 예비조사 분석 결과, 스마트폰 과의존 척도-R의 구성요인으로 조절력 상실, 현저성, 문제적 결과의 신체건강, 정신건강, 대인관계맥락, 생산성 6개, 38개 문항을 추출하였다. 둘째, 탐색적 요인분석 및 전문가 내용타당도 검증 결과를 바탕으로 6개 하위요인과 24개 문항을 선정하였다. 셋째, 본조사 결과를 토대로 최종 3개 요인, 20문항을 선정하고 분석하였다. 그 결과, 최종 척도의 신뢰도 .948이고, CFI, TLI, RMSEA는 각각 .968, .961, .052로 3개 구성요인(조절력 상실, 현저성, 문제적 결과: 하위 4개) 모형의 적합성을 확인했다. 넷째, 준거타당도 분석 결과, 기존 척도와의 상관이 .91, 스마트폰 중독 척도와는 .87의 높은 상관을 보였다. 본 연구에서 개발한 청소년 스마트폰 과의존 척도-R을 활용하여, 스마트폰 과의존 사용으로 부적응 및 심리적 어려움을 경험하는 청소년들을 심층적으로 이해하고 맞춤형 상담 및 교육적 접근이 이뤄질 것으로 기대한다. The purpose of this study is to identify the components of adolescents’ smartphone over-dependence and to develop and validate the scale-R. Seventeen experts in internet and smartphone addiction scale research, smartphone addiction organizations, counseling were interviewed. Then, data from 504 students in the preliminary study and 1,000 students in the main study were used and analyzed. The results are as follows: first, as a result of the preliminary survey analysis, 6 factors and 38 items were extracted as the construct factors of smartphone over-dependence : loss of control, salience, serious consequences in physical health, mental health, interpersonal relationships, and productivity. Second, based on exploratory factor analysis and expert content validity results, a total of six sub-factors and 24 items were selected. Third, based on the final survey, three factors and 20 items were selected and analyzed. As a result, the reliability(Cronbach’s Alpha) of the scale was .948, with CFI, TLI, RMSEA values of .968, .961, .052, respectively, confirming the suitability of the three-component model (loss of control, salience, serious consequences: sub-four). Fourth, the criterion validity analysis showed high correlations of .91 with existing scales and .87 with the smartphone addiction scale. It is expected that the adolescent smartphone over-dependence scale-R developed in this study will enable a deeper understanding of adolescents experiencing maladjustment and psychological difficulties due to smartphone over-dependence, and customized counseling and educational approaches would be provided.