• 제목/요약/키워드: MetaKorea

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국내 운동 관련 메타분석 논문의 질 평가 (Review of Meta-analysis Research on Exercise in South Korea)

  • 송영신;강문희;김선애;신인수
    • 대한간호학회지
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    • 제44권5호
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    • pp.459-470
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    • 2014
  • Purpose: The purpose of this study was to evaluate the quality of meta-analysis regarding exercise using Assessment of Multiple Systematic Reviews (AMSTAR) as well as to compare effect size according to outcomes. Methods: Electronic databases including the Korean Studies Information Service System (KISS), the National Assembly Library and the DBpia, HAKJISAand RISS4U for the dates 1990 to January 2014 were searched for 'meta-analysis' and 'exercise' in the fields of medical, nursing, physical therapy and physical exercise in Korea. AMSTAR was scored for quality assessment of the 33 articles included in the study. Data were analyzed using descriptive statistics, t-test, ANOVA and ${\chi}^2$-test. Results: The mean score for AMSTAR evaluations was 4.18 (SD=1.78) and about 67% were classified at the low-quality level and 30% at the moderate-quality level. The scores of quality were statistically different by field of research, number of participants, number of databases, financial support and approval by IRB. The effect size that presented in individual studies were different by type of exercise in the applied intervention. Conclusion: This critical appraisal of meta-analysis published in various field that focused on exercise indicates that a guideline such as the PRISMA checklist should be strongly recommended for optimum reporting of meta-analysis across research fields.

Effects of Advance Care Planning on End-of-Life Decision Making: A Systematic Review and Meta-Analysis

  • Kim, Minju;Lee, Jieun
    • Journal of Hospice and Palliative Care
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    • 제23권2호
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    • pp.71-84
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    • 2020
  • Purpose: The purpose of this systematic review and meta-analysis was to investigate the effects of advance care planning on end-of-life decision-making. Methods: Databases including RISS, KISS, KMbase, KoreaMed, PubMed (MEDLINE), Embase, and CINAHL were searched for studies that examined the effects of advance care planning interventions. The inclusion criteria were original studies in English or Korean; adults ≥18 years of age (population); advance care planning (intervention); completion of advance directives (AD) or advance care planning (ACP) (outcomes); and randomized or non-randomized controlled trials (RCTs and non-RCTs, respectively) (design). Study quality was measured using the checklists of the Joanna Briggs Institute. Meta-analyses were conducted with the Comprehensive Meta-Analysis program. Results: Nine RCTs and nine non-RCTs were selected for the final analysis. The effect sizes (ES) of the outcome variables in nine RCTs were meta-analyzed, and found to range from 0.142 to 0.496 for the completion of AD and ACP (ES=0.496, 95% CI: 0.157~0.836), discussion of end-of-life care (ES=0.429, 95% CI: -0.027~0.885), quality of communication (ES=0.413, 95% CI: 0.008~0.818), decisional conflict (ES=0.349, 95% CI: -0.059~0.758), and congruence between preferences for care and delivered care (ES=0.142, 95% CI: -0.267~0.552). Conclusion: ACP interventions had a positive effect on the completion of AD and ACP. To apply AD or ACP in Korea, it is necessary to develop ACP interventions that reflect aspects of Korean culture.

UML 다이어그램 도구를 위한 다이어그램 정보의 구축과 설계 (A Design of Constructing Diagram Repository for UML Diagram Tools)

  • 김윤호
    • 한국정보통신학회논문지
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    • 제24권2호
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    • pp.244-251
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    • 2020
  • 본 논문에서는 UML 다이어그램의 정보를 구문적으로 분석하여 클래스들의 정보를 구조적으로 구축하는 정보 저장소인 '메타 클래스 레포지토리 (MCR)'의 구현 방법을 제시한다. 구문적으로 분석된 클래스의 정보를 구조적으로 구축하기 위하여 수퍼 클래스인 '메타 클래스 (meta-class)'를 정의하고, 이들 메타 클래스들의 컬렉션으로 구성된 레포지토리를 구축하여 정보를 관리한다. 또한, MCR이 보유하고 있는 메타 클래스 정보에 기반하여 클래스에 상응하는 코드를 생성하기 위하여 '코드 생성 엔진 (CGE)'을 설계하여 제시한다. 코드 생성 엔진의 로직을 구성함에 있어서는 클래스에 대한 정보와 프로그래밍 언어의 구문 규칙이 합법적으로 조합되어 코드가 생성되어야 한다. 따라서, 이러한 클래스 다이어그램으로부터 코드를 생성하는 데에 MCR과 CGE가 통합적으로 협력하여 수행될 수 있도록 구현하는 방법을 제시한다. CGR의 동작 메커니즘에 대한 알고리즘을 유한 상태 머신 형태로 제시함으로써 CGE의 로직을 형식화하여 표현함과 동시에 구현 상의 용이함을 취할 수 있게 하였다.

가상공동체에서 지식탐색을 통한 지식공유에 관한 연구 (Understanding Knowledge Sharing in Virtual Communities through Knowledge Seeking Behavior)

  • 김재경
    • 한국IT서비스학회지
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    • 제13권1호
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    • pp.71-86
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    • 2014
  • This study investigated knowledge browsing behavior as the factor affecting the increase of knowledge sharing intention. To conduct this study in the specific context of knowledge seeking and sharing behavior of virtual community members, literature on knowledge seeking behavior, meta-knowledge, and knowledge sharing intention was reviewed. Structural Equation Modeling was conducted to analyze survey data to test the research model of this study. The result showed that knowledge browsing have positive effects on creating of virtual community members' subject knowledge and meta-knowledge, which, in turn, affected positively their knowledge sharing intention. One of the main contributions of this study is that knowledge seeking behavior influence one's knowledge sharing intention in a virtual community. Organization managers should consider knowledge seeking behavior as not only a self-interested, consuming activity, but also a productive one through its function of constructing subject knowledge and meta-knowledge.

A Meta-Analysis on the Correlation between Job Satisfaction, Turnover Intention and Organizational Commitment among Nurses

  • Lee, Hong-Ki;Myoun, Sungmin
    • 한국컴퓨터정보학회논문지
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    • 제22권4호
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    • pp.115-122
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    • 2017
  • The purpose of this study was to evaluate the effect of job satisfaction on turnover intention and organizational commitment in nurses through a systematic literature review and meta-analysis. For the study purpose, 26 studies were selected through a systematic process of using several databases and used to estimate the effect size of correlation between 3 variables. Meta-analysis was applied by usingcrandom effects model, and effect sizes on three types were calculated. Results are as follows. First, the effect size of correlation between job satisfaction and turnover intention is -.58. Second, the effect size of correlation between job satisfaction and organizational commitment is .77. Third, for the organizational commitment and turnover intention relationship, the effect of correlation is -0.68. Furthermore, publication bias analysis were assessed the results by using the funnel plot, Egger's regression test, fail-safe N, and trim-and-fill test. Based on these results, implications for the study were discussed.

A Design of K-XMDR Search System Using Topic Maps

  • Jialei, Zhang;Hwang, Chi-Gon;Jung, Gye-Dong;Choi, Young-Keun
    • Journal of information and communication convergence engineering
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    • 제9권3호
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    • pp.287-294
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    • 2011
  • This paper proposes a search system using the topic maps that it extends XMDR into Knowledge based XMDR for solving of the problems of the heterogeneity of distributed data on a network and integrate data by an efficient way. The proposed system combined Topic Maps and the extended metadata registry effectively. The Topic Maps represent related knowledge and reasoning relationship by associations of topic. And the extended metadata registry standards and manages the metadata of the local systems through registration and certification on the distributed environment. We also proposed a meta layer, include the meta topic and meta association to achieve semantic classification grouping of topics and to define relationship between Topic Maps and extended metadata registry.

신용카드 고객의 신용 예측을 위한 지식기반 방법들: 적용 및 비교 연구 (Knowledge-Based methodologies for the Credit Rating : Application and Comparison)

  • 주석진;김재경;성태경;김중한
    • 지능정보연구
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    • 제5권1호
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    • pp.49-64
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    • 1999
  • 본 연구는 백화점 고객이 신용 카드 신청 요구 시에 작성되는 가입 정보 및 사용되고 있는 고객의 거래 정보는 카드 사용 패턴으로 신용도를 예측하는 여러 방법론을 제시하고 성능을 비교하였다. 가입 정보를 분석하기 위해 역전파 신경망(Back-Propagation Neural Network, BPNN), 사례기반추론(Case-Based reasoning)을, 거래 정보를 분석하기 위해 역전파 신경망과 더불어 시간지연 신경망(Time-Delayed Neural Network, TDNN)을 각각 사용하여 그 결과를 비교하였다. 또한 전체시스템의 적중률을 높이기 위햐여, ID3와 신경망을 이용한 Meta-Leaning 방법을 제시하였으며, Meta-Learning 방법과 다른 방법들을 비교, 분석을 하였다. 본 연구에서는 모형 수립과 검증을 위하여 T백화점의 실제 신용 카드 가입 고객 데이터를 이용하여 실험하였다. 데이터의 성격에 따라 각 모델의 예측력에는 차이가 나타났으나, 신경망 모형의 예측력이 우수하였으며, 시간적 특성을 고려하는 시간지연 신경회로망 모형의 예측력은 더욱 우수하게 나타났다. 또한 Meta-Learning 모형을 사용하면 예측력이 더 높아진다는 것을 확인할 수 있었다.

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Introducing 'Meta-Network': A New Concept in Network Technology

  • Gaur, Deepti;Shastri, Aditya;Biswas, Ranjit
    • Journal of information and communication convergence engineering
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    • 제6권4호
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    • pp.470-474
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    • 2008
  • A well-designed computer network technology produces benefits on several fields within the organization, between the organizations(suborganizations) or among different organizations(suborganizations). Network technology streamlines business processes, decision process. Graphs are useful data structures capable of efficiently representing a variety of networks in the various fields. Metagraph is a like graph theoretic construct introduced recently by Basu and Blanning in which there is set to set mapping in place of node to node as in a conventional graph structure. Metagraph is thus a new type of data structure occupying its popularity among the computer scientists very fast. Every graph is special case of Metagraph. In this paper the authors introduce the notion of Meta-Networking as a new network technological representation, which is having all the capabilities of crisp network as well as few additional capabilities. It is expected that the notion of meta-networking will have huge applications in due course. This paper will play the role of introducing this new concept to the network technologists and scientists.

국방핵심기술 연구개발 사업의 평가 시스템 개선에 관한 연구 (The Study on Improvement of Evaluation System for National Defense Core Technology R&D Projects)

  • 김찬수;조규갑
    • 기술혁신연구
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    • 제15권1호
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    • pp.87-113
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    • 2007
  • For the realization of the national self-defense, the trend of the defense R&D projects becomes global and diverse with the increase of their budget. Thus, for the effective execution of the budget and the successful performance of the projects, the importance of selection, management and evaluation of the R&D projects is emphasized. This study suggests the applicability of a meta-evaluation model for the realization of the successful defense R&D project evaluation system. This study focused on the development of the meta-evaluation model design which can be applicable to the national defense R&D projects. Using the proposed meta-evaluation model, we propose a technique to enhance the fairness and the reliability of the national defense R&D projects evaluation system.

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적응형 VOD 시스템을 위한 비디오 메타 데이터 모델 (Video Meta-data model for Adaptive Video-on-Demand System)

  • 전근환;신예호
    • 한국컴퓨터산업교육학회:학술대회논문집
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    • 한국컴퓨터산업교육학회 2003년도 제4회 종합학술대회 논문집
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    • pp.127-133
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    • 2003
  • The data models which express all types of video information physically and logically. and the definition of spatiotemporal relationship of video data objects In This paper, we classifies meta-model for efficient management on spatiotemporal relationship between two objects in video image data, suggests meta-models based on Rambaugh's OMT technique, and expanded user model to apply the adaptive model, established from hyper-media or web agent to VOD. The proposed meta-model uses data's special physical feature: the effects of camera's and editing effects of shot, and 17 spatial relations on Allen's 13 temporal relations, topology and direction to include logical presentation of spatiotemporal relation for possible spatiotemporal reference and having unspecified applied mediocrity.

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