• Title/Summary/Keyword: MetaKorea

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The Effect of Aquatic Exercise Therapy on Balance in Patients with Chronic Stroke : Meta-Analysis of Studies in Korea (수중운동치료가 만성 뇌졸중 환자의 균형에 미치는 효과 : 국내연구의 메타분석)

  • Lee, Dongjin;Cho, Sunghyoun
    • Journal of The Korean Society of Integrative Medicine
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    • v.6 no.2
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    • pp.1-16
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    • 2018
  • Purpose : This meta-analysis was aimed at guiding future research in stroke treatment and to provide real-world data relating to the effects of aquatic exercise therapy on balance in patients with chronic stroke. Methods : We performed a meta-analysis comprising 22 studies involving aquatic exercise therapy performed between 2006 and 2017. A meta-analysis software program was used to calculate the mean effect size, effect size by intervention, and effect size by outcome. We also performed a meta-regression analysis and an analysis of publishing bias. Results : The mean effect size was 0.563. The effect size by outcome was observed to be the largest for the functional reach test, followed by the Berg balance scale, balance equipment, the Timed Up and Go test and one leg standing. Meta-regression analysis showed that effect size increased with an increase in the duration, number, length of exercise session. Conclusion : Aquatic exercise therapy appears to show a moderate effect on balance in patients with chronic stroke. A meta-analysis is warranted for further research to determine the effects of aquatic exercise on walking, muscle strength, and range of motion.

The Development of the Meta-Evaluation Criteria for the Accreditation Evaluation System of Engineering Education in Korea (공학교육인증 평가체제의 메타평가 준거 개발)

  • Cho, Ok-Kyung;Choi, Keumjin
    • Journal of Engineering Education Research
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    • v.16 no.3
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    • pp.28-41
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    • 2013
  • The purpose of this study was to develop the Meta-Evaluation Criteria which can comprehensively and systematically evaluate and improve the Accreditation Evaluation System for Engineering Education. This will provide useful implications for establishing value, direction, and improvement remedy for Engineering Educations Accreditation System of Korea. In order to achieve the purpose of this study, Meta-Evaluation Criteria was developed to comprehensively and systematically assess and analyze the Accreditation Evaluation System of Engineering Education. The research methodology used to study these subjects: literature review, interviews with experts, Delphi survey (three times), survey, analysis of narrative opinion and secondary source. The results and conclusions of this study can be summarized as follows: First, the final Meta-Evaluation Criteria were developed so as to comprehensively and systematically assess and analyze the Accreditation Evaluation System of Engineering Education. The criteria's validity and reliability were also identified. Specific details are as follows: In a draft plan of the Meta-Evaluation Criteria, Meta-Evaluation concept was defined as evaluation on the whole range of Accreditation Evaluation System of Engineering Education. Meta-Evaluation Criteria was designed to be based on a systematic approach and applies the phased approach to the lower component to reflect evaluation's characteristics. Then validity and reliability of the developed draft plan was verified by calculating Content Validity Ratio (CVR), Degree of Consensus, Degree of Convergence and Cronbach's alpha. The final developed Meta-Evaluation Criteria obtaining validity and reliability were composed of 5 evaluation areas (environment, input, performance, result, utilization), 15 evaluation items, 68 evaluation indicators.

A Meta-learning Approach for Building Multi-classifier Systems in a GA-based Inductive Learning Environment (유전 알고리즘 기반 귀납적 학습 환경에서 다중 분류기 시스템의 구축을 위한 메타 학습법)

  • Kim, Yeong-Joon;Hong, Chul-Eui
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.1
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    • pp.35-40
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    • 2015
  • The paper proposes a meta-learning approach for building multi-classifier systems in a GA-based inductive learning environment. In our meta-learning approach, a classifier consists of a general classifier and a meta-classifier. We obtain a meta-classifier from classification results of its general classifier by applying a learning algorithm to them. The role of the meta-classifier is to evaluate the classification result of its general classifier and decide whether to participate into a final decision-making process or not. The classification system draws a decision by combining classification results that are evaluated as correct ones by meta-classifiers. We present empirical results that evaluate the effect of our meta-learning approach on the performance of multi-classifier systems.

A Study on the Development of Meta-Evaluation Indicators for Defense R&D Programs by Using FA/AHP Methods (FA/AHP 기법을 활용한 국방연구개발사업 메타평가 지표 개발에 관한 연구)

  • Kim, Soon-Yeong
    • Journal of Korea Technology Innovation Society
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    • v.12 no.1
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    • pp.113-136
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    • 2009
  • The purpose of this study is to develop meta evaluating indicators for Defense R&D Programs in Korea. At first, the four components of this meta evaluation model were designed, which are evaluation context, evaluation input, evaluation process, evaluation output. And fifty two indicators were developed for this meta evaluation. Basic model of meta evaluation was derived from the literature review and brain storming. And this meta evaluation model was determined by adapting the result of experts who performed evaluations for Defense R&D Programs in recent years. Factor Analysis method was used to verify the validity of meta evaluation model. The survey of fifty three members turned out that Cronbach' ${\alpha}$ was over 0.6 in evaluation components and items. And the reliability of evaluation context was 0.877, that of evaluation input was 0.755, that of evaluation process was 0.755, that of evaluation output was 0.755 respectively. Analytic Hierarchy Process (AHP) method was used in assigning the evaluation weight. The survey of twenty two members showed that the Consistency Ratio was 0.09 in evaluation components and items.

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Dyeing of meta-Aramid Fabric with Temporarily Solubilized Reactive Disperse Dyes (일시적 수용성 반응성 분산염료를 이용한 메타 아라미드 섬유의 염색성 연구)

  • Lee, Yeon Ju;Lee, Jung Jin
    • Textile Coloration and Finishing
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    • v.25 no.4
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    • pp.262-270
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    • 2013
  • Temporarily solubilized reactive disperse dyes containing ${\beta}$-sulfatoethylsulfonyl group were applied to 100% meta-aramid knitted fabric and their dyeing properties were investigated. Reactive disperse dyes showed relatively high K/S values on meta-aramid fabric when compared with conventional disperse dye or reactive dye, which showed very low K/S values. Color yields of reactive disperse dyes were highly dependent on dyeing pH and optimum results were obtained at pH 6. Percent exhaustion of reactive disperse dye on meta-aramid fabric was over 80% at 2% o.w.f of dye concentration. Wash fastness of pyridone-based reactive disperse dyes was very good to excellent while that of aminoazobenzene reactive disperse dyes was medium to good. Light fastness of all the reactive disperse dyes was very poor which seems to be due to the low photostability of meta-aramid fiber itself.

A Meta-learning Approach that Learns the Bias of a Classifier

  • 김영준;홍철의;김윤호
    • Journal of Intelligence and Information Systems
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    • v.3 no.2
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    • pp.83-91
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    • 1997
  • DELVAUX is an inductive learning environment that learns Bayesian classification rules from a set o examples. In DELVAUX, a genetic a, pp.oach is employed to learn the best rule-set, in which a population consists of rule-sets and rule-sets generate offspring by exchanging some of their rules. We have explored a meta-learning a, pp.oach in the DELVAUX learning environment to improve the classification performance of the DELVAUX system. The meta-learning a, pp.oach learns the bias of a classifier so that it can evaluate the prediction made by the classifier for a given example and thereby improve the overall performance of a classifier system. The paper discusses the meta-learning a, pp.oach in details and presents some empirical results that show the improvement we can achieve with the meta-learning a, pp.oach.

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Aspects of Meta-affect According to Mathematics Learning Achievement Level in Problem-Solving Processes (문제해결 과정에서의 수학 학습 성취 수준에 따른 메타정의의 기능적 특성 비교 분석)

  • Do, Joowon;Paik, Suckyoon
    • Journal of Elementary Mathematics Education in Korea
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    • v.22 no.2
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    • pp.143-159
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    • 2018
  • Since the mathematics learning achievement level is closely related to problem-solving ability, it is necessary to understand the relationship between problem-solving ability and meta-affect ability from the point of view of general mathematics learning ability. In this study, we compared the frequency analysis and the case analysis of the functional aspects of the meta-affect in elementary school students' problem-solving processes according to mathematics learning achievement level in parallel with frequency analysis and case analysis. In other words, the frequency of occurrence of meta-affect, the frequency of meta-affective type, and the frequency of meta-functional types of meta-affect were compared and analyzed according to the mathematics learning achievement level in the collaborative problem-solving activities of small group members with similar mathematics learning achievement level. In addition, we analyzed the representative cases of meta-affect by meta-functional types according to the mathematics learning achievement level in detail. As a result, meta-affect in problem-solving processes of the upper level group acted as relatively various types of meta-functions compared to the lower level group. And, the lower level group, the more affective factors acted in the problem-solving processes.

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A Meta-analysis of the Effects of Smoking Prevention Programs in Korea (흡연예방프로그램 효과에 대한 메타분석)

  • Park Eun-Ok
    • Journal of Korean Academy of Nursing
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    • v.34 no.6
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    • pp.1004-1013
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    • 2004
  • Purpose: The purpose of this paper was to describe the characteristics of smoking prevention programs in Korea, to estimate overall effect size of Korean smoking prevention programs, and to investigate effect size variations by program modality and instruction method. Method: Meta-analysis was performed on2l programs in 20 studies. Result: The estimation of overall effect size for knowledge and attitude was not possible because effect sizes were not homogeneous in this meta-analysis. However, effect sizes of studies that were socially influential programs or active/interactive methods were larger than information-oriented programs or passive/non-interactive methods in the pictures. The effects for behavioral outcomes were generally not as positive and not statistically significant. Q statistics showed that variations among effect sizes within program modality and instruction method classifications were heterogeneous. Conclusion: The results from this meta-analysis support the continued use of socially influential programs and active/interactive methods for smoking prevention programs. Because behavioral effect might be the fundamental objective of smoking prevention programs, the present results indicate that smoking prevention programs should consider adopting more effective programs.

Environment Construction for Implementation of Grid System META (그리드 시스템 META의 구현을 위한 환경 구축)

  • Lee, Gun-Woo;Ji, Jung-Hoon;Woo, Gyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.781-784
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    • 2007
  • 본 논문에서는 CFD(Computational Fluid Dynamics) 프로그램의 효율적인 수행을 위한 그리드 시스템 META(Metacomputing Environment using Test-run Application)의 구현을 위한 환경 구축에 대해서 기술한다. META는 그리드 시스템을 기반으로 하기 때문에 META의 구현을 위해서는 먼저 그리드 시스템 환경을 구축하여야 한다. 이를 위해 PBS(Portable Batch System), GT4(Globus Toolkit4), MPI(Massage Passing Interface), PVM(Parallel Virtual Machine), PVMmaker 총 5개의 프로그램이 필요하다. PBS는 각 노드로의 작업 분할을, GT4는 그리드 시스템 미들웨어 역할을, MPI와 PVM, PVMmaker는 병렬 프로그래밍 수행 및 컴파일을 위해서 사용이 된다.

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