• Journal of Distribution Science
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• v.11 no.6
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• pp.13-19
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• 2013

Purpose - This study aims to predict the audit reports of listed companies on the Tehran Stock Exchange by using meta-heuristic algorithms. Research design, data, methodology - This applied research aims to predict auditors reports' using meta-heuristic methods (i.e., neural networks, the ANFIS, and a genetic algorithm). The sample includes all firms listed on the Tehran Stock Exchange. The research covers the seven years between 2005 and 2011. Results - The results show that the ANFIS model using fuzzy clustering and a least-squares back propagation algorithm has the best performance among the tested models, with an error rate of 4% for incorrect predictions and 96% for correct predictions. Conclusion - A decision tree was used with ten independent variables and one dependent variable the less important variables were removed, leaving only those variables with the greatest effect on auditor opinion (i.e., net-profit-to-sales ratio, current ratio, quick ratio, inventory turnover, collection period, and debt coverage ratio).

• Journal of Korean Academy of Nursing Administration
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• v.21 no.3
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• pp.263-276
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• 2015

Purpose: The study was done to verify the effect size of the variables related to the emotional labor of nurses. Methods: A total of 47 article on variables related to the emotional labor of nurses and published from 2006 to 2014 were used for the meta-analysis. Results: Variables with the largest effect size related to emotional labor were identified as the variables of work task, organization and individual characteristics in descending order of effect size. The sub-factors with the greatest effect size in the work task variable were exhaustion and work commitment, while for organization variables, intention to change jobs had the largest effect size. For individual characteristics, physical symptoms had the largest effect size. Conclusion: The results of this study are meaningful as the first study to integrate research results on variables related to the emotional labor of Korean nurses, providing practical data for the management of emotional labor.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.141-144
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• 2007

Given a number of training data, a traditional BPN is normally trained by minimizing the absolute difference between target outputs and approximate outputs. When BPN is used as a meta-model for inequality constraint function, approximate optimal solutions are sometimes actually infeasible in a case where they are active at the constraint boundary. The paper describes the development of the efficient BPN based meta-model that enhances the constraint feasibility of approximate optimal solution. The modified BPN based meta-model is obtained by including the decision condition between lower/upper bounds of a constraint and an approximate value. The proposed approach is verified through a simple mathematical function and a ten-bar planar truss problem.

• Journal of Industrial Technology
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• v.27 no.B
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• pp.185-192
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• 2007

Transcoding video proxy is necessary to support various bandwidth requirements for mobile multimedia and to provide adapting video streams to mobile clients. Caching algorithms for proxy are to reduce the network traffic between the content servers and the proxy. This paper proposes a Meta-tailed caching for transcoding proxy that is efficient to lower network load and CPU load. Caching of two different data types - transcoded video, and metadata - provides a foundation to achieve superior balance between network resource and computation resource at transcoding proxies. Experimental results show that the Meta-tailed caching lowers at least 10% of CPU-load and at least 9% of network-load at a transcoding proxy.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.4
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• pp.119-123
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• 2011

In recent years, several technologies have brought many changes in the field of education. Nonetheless, it is difficult to get freely medical and professional knowledge in the educational environment. In this paper, we study a free medical education system for medical education through service to the Mashup offers a meta-search system. Received permission to use the system API to retrieve the content API, data retrieval systems and video content via the API to design a system, based on this medical education, meta-search system is implemented.

• The Journal of Korean Academic Society of Nursing Education
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• v.21 no.3
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• pp.308-319
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• 2015

Purpose: The purpose of this study was to identify the effects size of simulation education targeting korean nurses and nursing students. Methods: Meta-analysis was conducted with 48 papers in domestic master and doctorate degree dissertations and academic journals from 2000 to 2014. Results: The entire effect size in simulation education was relevant to big effect size. Regarding the effect size of individual variables, nurse was identified to have biggest effect size in study subject, standardized patient was identified to have biggest effect size in simulation methods and pediatric nursing was identified to have biggest effect size in study subjects. Effect size in each effect variable was highest in psychomotor domain. Conclusion: This study identified the effect size of simulation education and provided the basic data to contribute to the quality improvement of simulation education which is based on the reasons.

• Journal of Korean Academy of Nursing
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• v.43 no.3
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• pp.341-351
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• 2013

Purpose: This study was done to analyze the effects of Tai Chi on fall-related risk factors through meta-analysis of randomized clinical trials published in English and Korean between 2000 and 2010. Methods: Using health related database and hand search of references and Google, 28 randomized studies were collected from doctoral dissertation and published peer reviewed articles. The Comprehensive Meta-analysis version 2.0 was used for the analysis. Results: The effect sizes for Tai Chi for 3 months were significant with ES=0.54 for static balance, ES=0.24 for dynamic balance, ES=0.69 for balance measured by scale, and ES=0.40 for flexibility, ES=0.48 for muscle strength, ES=0.71 for ADL, and ES=0.37 for fear of falling. Also, the effect sizes of Tai Chi for 6 months were significant for most fall-related variables. The 6 month data for flexibility was not analyzed since only one study was published. Conclusion: The analysis of studies of randomized clinical trials indicate that Tai Chi is effective in improving balance, flexibility, muscle strength, activities of daily living, and fear of falling when applied for 3 or 6 months. The findings provide the objective evidence to apply Tai Chi as a fall preventive intervention.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.16
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• pp.7255-7260
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• 2015

Background: Recent reports have shown that DLC-1 is widely expressed in normal tissues and is down-regulated in a wide range of human tumors, suggesting it may act as a tumor suppressor gene. We conducted a meta-analysis to determine the correlation between DLC-1 expression and clinicopathological characteristics in cancers. Materials and Methods: A detailed literature search was made for relevant publications from PubMed, EMBASE, Cochrane library databases, Web of Science, CNKI. The methodological quality of the studies was also evaluated. Analyses of pooled data were performed and odds ratios (ORs) were calculated and summarized. Results: Final analysis was performed of 1,815 cancer patients from 19 eligible studies. We observed that DLC- 1 expression was significantly lower in cancers than in normal tissues. DLC-1 expression was not found to be associated with tumor differentiation status. However, DLC-1 expression was obviously lower in advance stage than in early-stage cancers and was more down-regulated in metastatic than non-metastatic cancers. Conclusions: The results of our meta-analysis suggested that DLC-1 expression is significantly lower in cancers than in normal tissues. Aberrant DLC-1 expression may play an important role in cancer genesis and metastasis.

• Genomics & Informatics
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• v.14 no.4
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• pp.173-180
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• 2016

The meta-analysis has become a widely used tool for many applications in bioinformatics, including genome-wide association studies. A commonly used approach for meta-analysis is the fixed effects model approach, for which there are two popular methods: the inverse variance-weighted average method and weighted sum of z-scores method. Although previous studies have shown that the two methods perform similarly, their characteristics and their relationship have not been thoroughly investigated. In this paper, we investigate the optimal characteristics of the two methods and show the connection between the two methods. We demonstrate that the each method is optimized for a unique goal, which gives us insight into the optimal weights for the weighted sum of z-scores method. We examine the connection between the two methods both analytically and empirically and show that their resulting statistics become equivalent under certain assumptions. Finally, we apply both methods to the Wellcome Trust Case Control Consortium data and demonstrate that the two methods can give distinct results in certain study designs.

• Korean Journal of Health Education and Promotion
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• v.23 no.3
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• pp.1-16
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• 2006

Objectives: To analyze the characteristics of smoking prevention programs for the adolescent, and to synthesize the common effect sizes on smoking prevention programs for the adolescent. Methods: Seventeen studies for meta-analysis were selected from dissertations, these, and papers that had been published from 1996 to 2005 and had a randomized or nonequivalent control group in a pre test-post test design. The analysis of the data was computed by using the meta-analysis software package developed by Song(2003). Results: Smoking prevention programs for the adolescent have resulted in a significant effect size on smoking-knowledge( .62), smoking-attitude( .55) of smoking prevention programs for the adolescent showed more than 'medium effect' size. In smoking-knowledge and amount of smoking, the effect size was smoking-attitudes, the effect size was large in the studies which consists of more than 10 sessions of intervention. Conclusion: From the above results, we notice that the smoking prevention programs for the adolescent were effective in increasing the smoking-knowledge, smoking-attitudes, and the intention of smoking-cessation.