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이용주,김영주,박다진,Danny Liew,이용주 한국보건의료기술평가학회 2017 보건의료기술평가 Vol.5 No.2
Objectives: Many studies are being conducted around the globe to assess the feasibility of multiple criteria decision analysis (MCDA) in health technology assessment (HTA). In this review, we assessed MCDA methodologies and decision criteria used in HTA. Methods: A total of 35 studies published from 2005−2015 that applied MCDA in HTA were selected and the following areas were reviewed: 1) Context of the decision making: decision making setting, level (e.g., micro, meso, macro), and the assessment target (e.g., healthcare policy, drugs, health program, medical test, medical device, treatment, or surgery), 2) MCDA methodology: type of MCDA technique, weighting method, criteria elicitation method, and the participants, 3) Decision criteria: feasibility, social/population impact, intervention related factors, patient/individual-centered values, budget impact, and quality of evidence, and 4) Transparency of the decision making process: the process was considered transparent if the study disclosed the weight of each criterion, the formula used to calculate the final score or if the weighting/calculation method was well explained to the level considered acceptable by the authors. Results: Of the studies reviewed, 63.9% used MCDA for decision making at a national level, and the type of HT being assessed was most often national/regional healthcare policy (44.1%). The most prevalent method of weighting was direct weighting using scales (40.0%). Most of the studies (80.0%) conducted group discussions for criterion selection, and among the criteria, intervention-related factors such as safety and efficacy (93.9%) were most often observed, followed by budget-impact (81.8%) and patient/individual-centered values (81.8%). Conclusion: Substantial demands for incorporation of patient-centered values into the current HTA process were observed. Additionally, MCDA may be a useful tool in incorporating such values to the HTA decision framework, but unresolved methodological issues remain. Further assessment on the application of MCDA in HTA should be conducted for Korea-specific settings.
적외선 분광법과 기계학습을 이용한 셀룰로오스 아세테이트의 치환도 예측 모델링
이용주,이지은,권재경,이태주,김형진 한국펄프·종이공학회 2023 펄프.종이기술 Vol.55 No.5
The objective of this study is to apply FTIR and machine learning models for the quantitative analysis of the degree of substitution of cellulose acetate. The models used for the degree of substitution analysis include PCA (principal component analysis), PLS-DA (partial least squares discriminant analysis), SVM (support vector machine), and KNN (k-nearest neighbor). The critical findings of this study indicated that it is possible to analyze the degree of substitution for cellulose acetate with a degree of substitution of 2.0 or less using IR spectrum data derived from acetylation, estimated through PCA. The decrease in explanatory power for degrees of substitution higher than 2.0 can be attributed to the chemical reaction rate. However, by applying SVM and utilizing the kernel trick to project the data into a high-dimensional feature space and perform non-linear classification, it was possible to create a degree of substitution discrimination model with excellent performance, regardless of the degree of substitution. As a result, the model for analyzing the degree of substitution of polymer monomers based on machine learning and IR spectrum data was proposed. It is believed that this model can efficiently replace existing analytical methods.
대학생의 자아존중감, 자기조절능력, 공감능력이 행복감에 미치는 영향
이용주,오갑진 사단법인 인문사회과학기술융합학회 2019 예술인문사회융합멀티미디어논문지 Vol.9 No.12
The purpose of this study was to examine how the self-esteem, self-regulation ability, and empathy ability of undergraduate students affect happiness. And its purpose is to provide information obtained by analyzing these relationships as basic data for related education. The subjects of the study were 178 undergraduate students who are attending university in Gyeonggi-do. The research results are as follows. First, the average of self-esteem and empathy of undergraduate students was higher than that of self-regulation ability. Second, self-esteem and happiness were found to have a significant positive correlation in all sub-factors. Self-regulation style of self-regulation ability was positively correlated with happiness, while voluntary suppression style was negatively correlated with happiness. Cognitive empathy was positively correlated in some sub-factors of happiness, while emotional empathy was negatively correlated in some sub-factors of happiness. Third, the result of analyzing the effect of self-esteem, self-regulation ability and empathy ability on the happiness of undergraduate students, each variable explained about 23 to 61% of the total happiness. Thus, These results may suggests that increasing the self-esteem of undergraduate students, acquiring rational self-regulation methods, and understanding other people's perspectives have significant effects on happiness. 본 연구는 대학생의 자아존중감과 자기조절능력 및 공감능력이 행복감에 미치는 영향이 어떠한지 파악하기 위하여 수행되었으며, 이들의 관계를 분석함으로써 관련 교육에 기초 정보를 제공하는 것을 그 목적으로 삼고 있다. 연구의 대상은 경기도 소재 대학교에 재학하고 있는 대학생 178명이다. 연구결과 첫째, 대학생의 자아존중감과 공감능력의 평균은 자기조절능력의 평균보다 높았다. 둘째, 자아존중감과 행복감은 모든 하위영역에서 유의미한 정적 상관이 있는 것으로 나타났다. 자기조절능력의 자기조절양식은 행복감과 정적 상관을 나타낸 반면, 의지적 억제양식은 행복감과 부적 상관을 나타내었다. 또한 인지적 공감은 행복감의 일부 하위요인에서 정적 상관을 나타내었으나, 정서적 공감은 행복감의 일부 하위요인에서 부적 상관을 나타내었다. 셋째, 대학생의 자아존중감과 자기조절능력 및 공감능력이 행복감에 미치는 영향을 분석한 결과에서 각 변인들은 전체 변량의 23~61% 정도의 행복감을 설명하였다. 이로써 대학생의 자아존중감을 높이고 합리적인 자기조절 방법을 습득하며 타인의 관점을 이해하는 것은 행복감에 유의미한 영향력이 있음을 시사 받을 수 있다.