• Title/Summary/Keyword: meta information

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A Meta-analysis on the Behavioral Intention for Information Technology in Korea (우리나라 정보기술의 행위의도에 관한 메타분석)

  • Nam, Soo-Tai;Kim, Do-Goan;Lee, Hyun-Chang;Shin, Seong-Yoon;Jin, Chan-Yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.11
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    • pp.2581-2587
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    • 2013
  • A Meta-analysis is a statistical literature synthesis method that provides the opportunity to view the research context by combining and analyzing the quantitative results of many empirical studies. We conducted a Meta-analysis research on the behavioral intention of information technology based on the theory of planned behavior. This study was targeted a total of 36 research papers that are setting up the causal relationship in the theory of planned behavior among the research papers published in domestic academic journals before 2013. The result of the Meta-analysis, showed that the effect size was 0.571 in the path from attitude toward behavior to behavioral intention, it showed that the effect size was 0.381 in the path from subjective norm to behavioral intention. And, it showed that the effect size was 0.481 in the path from perceived behavioral control to behavioral Intention. Also, it showed that the effect size was 0.421 in the path from behavioral Intention to behavior.

A meta analysis for anti-hyperlipidemia effect of soybeans (메타분석을 이용한 대두의 항-고지혈 효과)

  • Kim, Ji-Eun;Choi, Ki-Heon
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.4
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    • pp.651-667
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    • 2010
  • In this paper, using a meta analysis of anti-hyperlipidemia effect of soybeans were studied. Studied the effects of soybeans using Hedges' standardized mean difference looked at the effect. Applying the fixed-effects model analysis of fecal cholesterol and total cholesterol and triglycerides showed a statistically significant reduction in HDL cholesterol increase was statistically significant at. In addition, the homogeneity of all variables by running the test did not meet the homogeneity of the kidney weight, between weight, HDL cholesterol, LDL cholesterol, total cholesterol, and triglycerides in the random effects model against the results of the analysis conducted by a statistically significant variable that did not.

The anti-diabetic effect of propolis using Hedges' standardized mean difference (헤지의 표준화된 평균차를 이용한 프로폴리스의 항-당뇨 효과)

  • Kim, Mi-Jin;Choi, Ki-Heon
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.3
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    • pp.447-459
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    • 2010
  • The present study was carried out to summarize the effect of propolis in the diabetic rats by meta-analysis related studies. The association measure to test effect of propolis was Hedges's standardized mean difference between group of rats induced streptozotocin(STZ) or alloxan and group of rats induced STZ or alloxan treated with propolis about the considered 4 effect factors. In this particular fixed-effect model, blood glucose, Cholesterol, Triglyceride were significantly reduce. The case of heterogenous variable such as body weight, blood glucose, cholesterol, triglyceride, random-effect model was applied. In this model, blood glucose, triglyceride were decreased significantly in propolis treated group. According to the meta-regression analysis, period of injection was significant for body weight and blood glucose, cholesterol.

A Study on the Insider Behavior Analysis Framework for Detecting Information Leakage Using Network Traffic Collection and Restoration (네트워크 트래픽 수집 및 복원을 통한 내부자 행위 분석 프레임워크 연구)

  • Kauh, Janghyuk;Lee, Dongho
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.13 no.4
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    • pp.125-139
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    • 2017
  • In this paper, we developed a framework to detect and predict insider information leakage by collecting and restoring network traffic. For automated behavior analysis, many meta information and behavior information obtained using network traffic collection are used as machine learning features. By these features, we created and learned behavior model, network model and protocol-specific models. In addition, the ensemble model was developed by digitizing and summing the results of various models. We developed a function to present information leakage candidates and view meta information and behavior information from various perspectives using the visual analysis. This supports to rule-based threat detection and machine learning based threat detection. In the future, we plan to make an ensemble model that applies a regression model to the results of the models, and plan to develop a model with deep learning technology.

Glutathione-S-Transferase T1 Polymorphism is Associated with Esophageal Cancer Risk in Chinese Han Population

  • Weng, Yuan;Fei, Bojian;He, Ping;Cai, Ming
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.9
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    • pp.4403-4407
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    • 2012
  • Background: Glutathione-S-Transferase T1 (GSTT1) gene has been shown to be involved in the development of esophageal cancer. However, the results have been inconsistent. In this study, the authors performed a meta-analysis to clarify the association between GSTT1 polymorphism and esophageal cancer risk among Chinese Han population. Methods: Published literature from PubMed, the China National Knowledge Infrastructure and Wanfang Data were searched. Pooled odds ratio (OR) and 95% confidence interval (95%CI) was calculated using a fixed- or random-effects model. Results: Eleven studies with a total of 2779 individuals were included in the meta-analysis. The results showed that GSTT1 null genotype was significantly associated with esophageal cancer risk in Chinese (OR = 1.31, 95%CI 1.12 to 1.53, p = 0.001). Further sensitivity analyses confirmed the significant association. The cumulative meta-analysis showed a trend of an obvious association between GSTT1 null genotype and esophageal cancer risk as information accumulated by year. Conclusions: This meta-analysis suggests a significant association of GSTT1 null genotype with esophageal cancer risk in the Chinese Han population.

A Design of Dynamic Meta-model for Reusable Framework of Embedded System (임베디드 시스템의 재사용 프레임워크를 위한 동적 메타모델 설계)

  • Kim, Chul-Jin;Cho, Eun-Sook
    • The KIPS Transactions:PartD
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    • v.15D no.6
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    • pp.815-824
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    • 2008
  • Embedded system is applied in various fields and must equip system to respond market's requirement which is changing fast. Products that do not equip such fast construction system will have become sterilization. Construction system for Time-To-Market is reusability system or framework that have reused existent product and produce new product. Because embedded system is being based on hardware, amendment is not available easily, but can change system softly using segment of software. Therefore, in this paper, suggest meta-model of reusability framework that can change embedded software. Meta model of this paper suggests dynamic meta-model to design functional flow of reusability framework.

Meta Service: Mapping of a Service Request to a Workflow in Grid Environments (그리드 환경에서 워크플로우의 서비스 매핑을 위한 메타 서비스)

  • Lee, Sang-Keon;Choi, Jae-Young;Hwang, Seog-Chan
    • The KIPS Transactions:PartA
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    • v.12A no.4 s.94
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    • pp.289-296
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    • 2005
  • Many jobs in Grid environments consist of several subtasks, and these subtasks can be represented by a workflow, which is executed effectively on a Grid. In this paper, we present Meta services which describe a mapping from a service request to a workflow in Grid environments. By using Meta services, a workflow in Grid environments could adapts various service concepts such as portal services, Grid services, and Web services. And the workflow can be shared and reused among workflow users. Furthermore, historical performance data can be included in Meta services, so effective scheduling of the workflow is also possible.

Comparative Effects and Ranks of Repositioning for Pressure Ulcer Prevention in Adults: A Network Meta-analysis (욕창예방을 위한 체위변경 중재 효과의 비교순위: 네트워크 메타분석)

  • Ko, Ji Woon
    • Journal of muscle and joint health
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    • v.29 no.1
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    • pp.18-27
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    • 2022
  • Purpose: A network meta-analysis was conducted to assess the comparative effects and ranks of repositioning for pressure ulcer prevention in adults. Methods: A network meta-analysis was performed in a frequency method, using the "netmeta" package of R software version 4.1. The effects of repositioning intervention were confirmed by the odds ratio. The comparative ranking of the repositioning effects was confirmed using the cumulative probability (P-score). Results: Seven intervention studies were included in this study. Based on the P-score, the use of the repositioning system was ranked as the most effective among all interventions (P-score 78.7%). Next was 3~4-hour repositioning combined with memory foam mattress use (P-score 77.2%), use of wearable sensor (P-Score 61.4%), 2-hour repositioning combined with memory foam mattress use (P-score 59.1%), 2-hour repositioning combined with powered air pressure redistribution mattress use (P-score 18.0%), and 4-hour repositioning combined with powered air pressure redistribution mattress use (P-score 18.0%). Conclusion: This study provides information on the relative comparative value of various repositioning interventions to prevent pressure ulcers using network meta-analysis. This is expected to be useful for nurses' decision-making when applying repositioning interventions in clinical practice

A Meta-Analysis of the Effect of Face (Chemyon) on Leisure Consumers' Consumption Behavior

  • KIM, Young-Doo
    • The Journal of Industrial Distribution & Business
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    • v.12 no.11
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    • pp.17-31
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    • 2021
  • Purpose: Despite the fact that face (i.e. Chemyon) is deeply-rooted in Korean culture and significantly affects the behavior of Korean people, the effect of face on leisure consumers' consumption behavior has only reported mixed findings, that is, significant and/or insignificant face effects have been reported. It is necessary to integrate prior research findings, and comprehensively examine the effect of face on leisure consumers' consumption behavior. The purpose of this study was to investigate the effect (i.e. effect size, and moderating variables) of face on leisure consumers' consumption behavior through meta-analysis. Research design, data and methodology: Among 1,019 face-related academic studies, retrieved from the academic research information services (RISS), 34 studies and 300 cases examining the effect of face on leisure consumers' consumption behavior were finally included for meta-analysis. Face measured as face sensitivity and/or a face sensitivity sub-component (shame-consciousness, formality-consciousness, and other-consciousness) were integrated in the meta-analysis. Leisure consumers' consumption behavior was classified as antecedents of purchase (overall conspicuous consumption tendency, overall symbolic consumption tendency, personality, high price, high quality, brand seeking, fashion seeking, enjoyment, other person (interpersonal) consideration, position, reference group, and attitude), purchase (purchase intention, unplanned purchase, purchase, and expenditure), and post-purchase (satisfaction, repurchase, and post-purchase). The data used in the meta-analysis was comprised of correlation coefficients, and the meta-analysis was performed using the R-program. Results: The overall mean effect size of face on leisure consumers' consumption behavior was .248. It was found that the effect size was the largest in the order of shame-consciousness face, formality-consciousness face, and other-consciousness face. Among the types of leisure consumers' consumption behavior categorized as dependent variables, the effect size was found to be largest in the order of position, attitude, reference group, post-purchase behavior, brand seeking, personality, trend seeking, etc. In addition, it was found that the leisure types moderated the effect size of face on leisure consumers' consumption behavior. The effect size was found to be largest in the order of skin diving, baseball, various leisure participation, dance, gambling, golf, etc. Conclusions: Face moderately or significantly influence leisure consumers' consumption behavior.

Minor alleles in the FTO SNPs contributed to the increased risk of obesity among Korean adults: meta-analysis from nationwide big data-based studies

  • Oh Yoen Kim;Jihyun Park;Jounghee Lee;Cheongmin Sohn;Mi Ock Yoon;Myoungsook Lee
    • Nutrition Research and Practice
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    • v.17 no.1
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    • pp.62-72
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    • 2023
  • BACKGROUND/OBJECTIVES: Many studies have revealed an association between fat mass and the obesity-related gene (FTO) and obesity. On the other hand, no meta-analysis was conducted with data from only Koreans. Therefore, this study performed a meta-analysis using Korean data to provide evidence for the association between FTO single nucleotide polymorphisms (SNPs) and the risk of obesity among Korean adults. SUBJECT/METHODS: Meta-analysis was finally conducted with data extracted from seven datasets of four studies performed on Korean adults after the screening passed. Five kinds of FTO SNPs (rs9939609, rs7193144, rs9940128, rs8050136, and rs9926289) were included, and the relationship between FTO SNPs and body mass index (BMI) was investigated using linear regression with an additive model adjusted for covariants, such as age, sex, and area. RESULTS: The minor alleles of FTO SNPs were associated with increased BMI (odds ratio [OR], 1.31; 95% confidence interval [CI], 1.21-1.42). In sub-group analysis, FTO rs9939609 T>A was significantly associated with BMI (OR, 1.23; 95% CI, 1.06-1.42). The other FTO SNPs together were significantly associated with BMI (OR, 1.37; 95% CI, 1.25-1.49). The publication bias was not observed based on Egger's test. CONCLUSIONS: This meta-analysis showed that minor alleles in the FTO SNPs were significantly associated with an increased BMI among Korean adults. This meta-analysis is the first to demonstrate that minor alleles in the FTO SNPs contribute significantly to the increased risk of obesity among Korean adults using data from a Korean population.