• 한국멀티미디어학회논문지
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• 제22권2호
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• pp.292-298
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• 2019

Mobile-based software development methodology has been vigorously researched from using object-oriented development methodology and component-based development methodology previous structural developing methodology. There are two types of OS in mobile platform which are android and iOS. There is a problem that the application to be developed is developed depending on the device type. To resolve this problem, first, the system structure and design method should be managed effectively. Second, a basic design guide that can be commonly adapted to the each project is required. In this paper, we define a mobile cross platform meta model based on MDA-development methodology, focusing on reusability, portability and interoperability about non - dependent part of the mobile platform. If the proposed meta-model is applied to manage the related information and all the types of Mobile-Apps become available through independent mobile app development process, henceforward, it will be much of help establishing formulaic mobile-app developmental methodology.

• Clinical and Experimental Pediatrics
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• 제64권8호
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• pp.415-421
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• 2021

Background: Antibiotic resistance is associated with longer hospitalizations, higher treatment costs, and increased morbidity and mortality rates. Purpose: This study aimed to determine the prevalence of methicillin-resistant Staphylococcus aureus (MRSA) in Iranian children. Methods: International databases, including Web of Science, PubMed, Embase, and Scopus, and Iranian databases, including Scientific Information Database (www.sid.ir), Magiran, and Iranian Database for Medical Literature (idml.research.ac.ir), were systematically searched for articles published between January 2000 and August 2019. Sources of heterogeneity were determined using subgroup analysis and meta-regression. Results: Overall, 343 studies were identified; of them, 20 were included in the meta-analysis to estimate the pooled prevalence. The pooled prevalence of MRSA was 42% (95% confidence interval [CI], 29-55) among culture-positive cases of S. aureus, 51% (95% CI, 39-62) in hospitalized children, and 14% (95% CI, 0.05-27) in healthy children. Conclusion: The overall pooled prevalence of MRSA in children was 42%. Appropriate infection control measures and effective antibiotic therapy are needed.

• 한국임상약학회지
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• 제34권1호
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• pp.71-78
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• 2024

Background: Oral cancer drugs, particularly tyrosine kinase inhibitors (TKIs), are increasingly popular due to their convenience. However, they pose challenges like drug interactions, especially with medications like azole antifungals. While the FDA provides some guidance, more detailed information is needed to manage these interactions effectively. A meta-analysis was conducted to understand the impact of interactions between TKIs and azole antifungals on adverse events during clinical studies. Methods: A meta-analysis followed PRISMA guidelines. Data from PubMed, EMBASE, and references were searched until November 30, 2021. Inclusion criteria encompassed studies on TKI-antifungal interactions in English. Study selection and quality assessment were conducted by two independent investigators. Results: Out of 158 articles, 11 were selected for analysis. Combination therapy showed a slight increase in adverse events but was not statistically significant (OR 1.02, 95% CI 0.49-2.13, p=0.95). AUC and Cmax fold changes did not significantly impact adverse event development. Both itraconazole and ketoconazole showed no significant difference in adverse event development compared to TKI alone. Conclusions: Study finds TKI-DDI not significantly linked to AE increase; azole antifungal types not related to AE. Future DDI research crucial for drug development.

• 산업공학
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• 제24권3호
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• pp.248-257
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• 2011

The amount of Meta-data to be managed increases with development of information technology. However, when trying to integrate and share product information of heterogeneous systems within or between companies, sharing of information is impossible if product information classification systems are different. Due to the situation mentioned above, engineers judge the product information classification system and maps corresponding Meta-data for document-based sharing. Judging exponentially increasing amount of data by engineers and sharing product information using documents create great amount of time delay and errors in data handling. Therefore, construction of a system for integrated management and interoperability between product information based on semantic information similar to engineer's judgment is required. This paper proposes a methodology and necessity of a system for interoperability of product information based on semantic web, and also designs a system to integrate heterogeneous systems with different product information using rule based reasoning. This paper also suggests a system base for interoperability and integration of product information between heterogeneous systems by integrating the product information classification system semantically.

• International Journal of Advanced Culture Technology
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• 제6권2호
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• pp.117-122
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• 2018

As evidenced through rapidly growing digital repositories and web resources, automatic metadata generation is becoming ever more critical, especially considering the costly and complex operation of manual metadata creation. Also, automatic metadata generation is apt to consistent metadata application. In this sense, metadata quality and interoperability can be enhanced by utilizing a mechanism for automatic metadata generation. In this article, a mechanism of automatic metadata extraction called ExMETA is introduced in order to alleviate issues dealing with inconsistent metadata application and semantic interoperability across ever-growing digital collections. Conceptual graph, one of formal languages that represent the meanings of natural language sentences, is utilized for ExMETA as a mediation mechanism that enhances the metadata quality by disambiguating semantic ambiguities caused by isolation of a metadata element and its corresponding definition from the relevant context. Hence, automatic metadata generation by using ExMETA can be a good way of enhancing metadata quality and semantic interoperability.

• 아동학회지
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• 제37권4호
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• pp.83-99
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• 2016

Objective: The purpose of this study was to analyze correlation effect size between Basic Psychological Needs (BPN) and factors affecting BPN. Methods: This research was reviewed and synthesized systematically by meta-analyse. Fifty-eight published studies between 2008 and 2016 were sampled and the effect sizes were acquired. Results: The major findings were as follows. In general, medium correlation effect sizes were found. Competency among sub-factors of BPN showed highest effects. Parental factor was more related to BPN than school and individual factors. Parenting behavior and family psychological backgrounds were the most crucial factors in the parental factors. School adjustment was the most critical factor in the school factors. In school grade, the elementary school was more related to BPN than junior high school and high school. Conclusion: Based on these results, we suggest a number of components for parent-education programs, and information for future research.

• 한국통계학회:학술대회논문집
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• 한국통계학회 2000년도 추계학술발표회 논문집
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• pp.5-12
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• 2000

Meta-analysis refers to quantitative methods for combining results from independent studies in order to draw overall conclusions. We consider hierarchical models including selection models under a skewed heavy tailed error distribution and it is shown to be useful in such Bayesian meta-analysis. A general class of skewed elliptical distribution is reviewed and developed. These rich class of models combine the information of independent studies, allowing investigation of variability both between and within studies, and weight function. Here we investigate sensitivity of results to unobserved studies by considering a hierarchical selection model and use Markov chain Monte Carlo methods to develop inference for the parameters of interest.

• 응용통계연구
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• 제22권1호
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• pp.107-114
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• 2009

The present study was carried out to summarize the effect of ginseng in the experimental diabetic rats by meta-analysis related studies. The association measure to test effect of ginseng was the mean difference(MD) between group of rats induced streptozotocin(STZ) and group of rats induced STZ treated with ginseng about the considered effect factors. The level of FI, glucose and TG were significantly reduced(< 0.01), and the level of glycogen was significantly increased by treatment with ginseng (< 0.01) After checking the indication of publication bias for the combined MDs by using the funnel plots, the anti-diabetic effects of ginseng is clearly presented in FI, glucose, TG and glycogen (< 0.05).

• 정보처리학회논문지B
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• 제18B권2호
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• pp.73-82
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• 2011

메타 휴리스틱 알고리즘을 이용해 TSP (Traveling Salesman Problem) 문제를 풀고자 하는 많은 시도가 이루어지고 있다. TSP 문제는 대표적인 NP_Hard 문제로 탐색 알고리즘이나 최적화 알고리즘을 실험하는데 많이 사용되고 있으며, 복잡한 사회의 많은 문제들의 표준 모델로 제시되고 있다. 본 논문에서는 2009년 제안된 MINE 알고리즘을 TSP 에 적용시켜 메타 휴리스틱 알고리즘으로서의 탐색성능을 알아보고자 하였다. 이에 S-MINE (Search - MINE) 알고리즘을 제안하였으며, TSP 에 적용하여 그 결과를 고찰하였다.

• 약학회지
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• 제53권5호
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• pp.265-273
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• 2009

The aims of this study are to conduct meta-analysis for obtaining pooled estimates of the utility weight for stroke and to explore the study design characteristics that determine the utility weight for stroke. Medline (Pubmed), CEA Registry (Tufts Medical Center), and KERIS (Korea Education & Research Information Service) were searched to find out the literature that reported quality of life with stroke. Patient characteristics, utility weights and standard errors were extracted and stratified by severity, study method, respondent and country. All estimates were measured on a 0 to 1 scale with 0 representing the death and 1 representing the perfect health. The pooled estimates of the utility weight were 0.627 for total stroke, 0.756 for mild stroke, 0.631 for moderate stroke, and 0.389 for severe stroke (p=0.0001). Non-patients showed significantly lower utility weights than patients for severe (p=0.0122) stroke.