• Clinical Nutrition Research
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• v.11 no.2
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• pp.133-145
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• 2022

The aim of this systematic review and meta-analysis was to summarize all the existing randomized controlled trials (RCTs) evidence and to evaluate the effects of magnesium supplementation on serum magnesium, calcium and urinary magnesium concentrations in patients with type 2 diabetes compared with the control. Two independent authors systematically searched online databases including Embase, Scopus, PubMed, and Web of Science from inception until 30th January 2022. RCTs complying with the inclusion criteria were included in this meta-analysis. The heterogeneity among the included studies was assessed using Cochrane's Q test and I-square (I²) statistic. Data were pooled using a random-effects model and weighted mean difference (WMD) was considered as the overall effect size. Sixteen trials were included in this meta-analysis. Serum magnesium (mean difference, 0.15 mg/dL; 95% confidence interval [CI], 0.06 to 0.23; p = 0.001) and urinary magnesium (WMD, 1.99 mg/dL; 95% CI, 0.36 to 3.62; p = 0.017) concentrations were significantly increased after magnesium supplementation when compared with the control group. However, magnesium supplementation did not have any significant effect on serum calcium (WMD, -0.09 mg/dL; 95% CI, -0.27 to 0.08; p = 0.294) level when compared with the control group. This meta-analysis demonstrated that magnesium supplementation significantly increased Serum magnesium levels which may have played an indirect role in improved clinical symptoms in patients with type 2 diabetes.

• Asia pacific journal of information systems
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• v.7 no.2
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• pp.163-183
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• 1997

As object models and hybrid knowledge are increasingly used in current information systems development, Is-a structures need to be more formally defined, and subsequently subsumption related anomalies need to be detected with minimal declaration of meta knowledge. This paper extends a metagraph in the hybrid environments and demonstrates its utilities for detecting such anomalies that can occur from semantics and dynamics unique to the hybrid knowledge and data structure.

• Annual Conference of KIPS
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• 2013.05a
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• pp.833-834
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• 2013

진료데이터는 진료를 보면서 축척된 데이터로서 다양한 병명들에 대한 의사들의 진료행위를 추적해 볼 수 있는 유용한 정보가 될 수 있으며, 진료에 재활용함으로써 환자들에 대한 진료행위를 표준화하는데 사용될 수 있다. 본 연구에서는 다양한 상황에서 환자를 진료한 근거자료인 진료데이터를 이용하여 병원에서 활용 가능한 임상진료데이터를 추출하기 위한 방법에 대한 연구를 진행하였다.

• Journal of the Korean Data and Information Science Society
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• v.26 no.2
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• pp.355-365
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• 2015

As the global climate has dramatically changed over the past decades, there has been active research on evaluating its effects on food security, which has been recognized as one of the most important issues in the field. In this study, we analyzed the impact of the climate change on the Korean agriculture using meta-analysis methods. Especially, our research focus is on estimating the effect of CO2 concentration and two adaptations (planting-date and cultivar adjustments)on rice that accounts for a larger proportion of the Korean domestic agriculture. Unlike traditional general meta-analysis methods that use summary statistics of effects of interest, meta analysis specific to the agriculture literature was conducted by integrating the data on rice yield that were generated under various CO2 emission scenarios and general circulating models of the 6 collected individual studies. As a modeling approach, the rice yield change ratio was set as the dependent variable and the main and interaction effects of CO2 concentration and adaptation were considered as independent variables in a regression model, As a result, CO2 is estimated to have opposite effects on rice yield depending on whether any of the two adaptations is applied or not; decreasing effect without adaptation and increasing effect with adaptation. In addition, it turns out that the cultivar adjustment has a higher increasing effect on rice yield than the planting-date adjustment. The results of the study are expected to be used as basic quantitative data for establishing responsive polices to the future climate changes.

• Molecules and Cells
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• v.24 no.2
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• pp.200-209
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• 2007

We generated gene expression data from the tissues of 50 gastric cancer patients, and applied meta-analysis and gene set analysis to this data and three other stomach cancer gene expression data sets to define the gene expression changes in gastric tumors. By meta-analysis we identified genes consistently changed in gastric carcinomas, while gene set analysis revealed consistently changed biological themes. Genes and gene sets involved in digestion, fatty acid metabolism, and ion transport were consistently down-regulated in gastric carcinomas, while those involved in cellular proliferation, cell cycle, and DNA replication were consistently up-regulated. We also found significant differences between the genes and gene sets expressed in diffuse and intestinal type gastric carcinoma. By gene set analysis of cytogenetic bands, we identified many chromosomal regions with possible gross chromosomal changes (amplifications or deletions). Similar analysis of transcription factor binding sites (TFBSs), revealed transcription factors that may have caused the observed gene expression changes in gastric carcinomas, and we confirmed the overexpression of one of these, E2F1, in many gastric carcinomas by tissue array and immunohistochemistry. We have incorporated the results of our meta- and gene set analyses into a web accessible database (http://human-genome.kribb.re.kr/stomach/).

• International Journal of Internet, Broadcasting and Communication
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• v.7 no.1
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• pp.66-69
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• 2015

Recently with the development of IT technology, the medical technology have been developed in various ways. Among them, WBAN can check the state of the patient in real time. However, the data generated by these techniques have a problem that they have heterogeneous properties depending on the type of sensors and devices. In this paper, we proposed a method using meta repository as a way to provide the sensing data of WBAN for the health care system by integrating along the HL7 standard item.

• Journal of Internet Computing and Services
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• v.21 no.4
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• pp.97-107
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• 2020

This study aims to conduct a comprehensive meta-study from the perspective of content analysis to explore trends in Korean academic research on the sharing economy by using the big data analytics. Comprehensive meta-analysis methodology can examine the entire set of research results historically and wholly to illuminate the tendency or properties of the overall research trend. Academic research related to the sharing economy first appeared in the year in which Professor Lawrence Lessig introduced the concept of the sharing economy to the world in 2008, but research began in earnest in 2013. In particular, between 2006 and 2008, research improved dramatically. In order to grasp the overall flow of domestic academic research of trends, 8 years of papers from 2013 to the present have been selected as target analysis papers, focusing on titles, keywords, and abstracts using database of electronic journals. Big data analysis was performed in the order of cleaning, analysis, and visualization of the collected data to derive research trends and insights by year and type of literature. We used Python3.7 and Textom analysis tools for data preprocessing, text mining, and metrics frequency analysis for key word extraction, and N-gram chart, centrality and social network analysis and CONCOR clustering visualization based on UCINET6/NetDraw, Textom program, the keywords clustered into 8 groups were used to derive the typologies of each research trend. The outcomes of this study will provide useful theoretical insights and guideline to future studies.

• Journal of Korean Clinical Health Science
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• v.4 no.1
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• pp.504-509
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• 2016

Purpose. This study aims to present basic data to develop programs suitable to the characteristics of elderly people through a meta-analysis of effectiveness of variables related to psychological effects of programs of elderly people conducted in past 15 years. Methods. The analysis subjects are total 229 articles related to the psychological effects of programs for elderly people and submitted for master or doctor degrees or published in academic journals. CMA2 is used for the analysis. Results. The results of this study shows lower variables of the psychological effect promoting factor group that are highly effective for Life Satisfaction, Self-Efficacy, Self-Respect and Self-Integration and lower variables of suppressing factor group that are highly effective for Loneliness, Tension, Weakness, Anger and Depression. For the effect scale of psychological effect promoting factors, Arts is shown to be the highest followed by Exercise, Consultation, Recollection, Others and Recreation in order. For the effect scale of suppressing factors, Consultation is shown to be the highest followed by Recollection, Arts, Exercise, Others and Recreation) in order. Conclusions. This study has its own meaning for establishing integrated factors of psychological effects of programs for elderly people and presenting realistic data for planing programs suitable for various desires of elderly people.

• Journal of the Korean Society of Systems Engineering
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• v.11 no.1
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• pp.25-31
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• 2015

Under the relevant regulations, it is required to develop a system architecture for the research and development of the information and communication infra system ; however, the national defense architecture development guides and MND-AF, which provide the instructions on the development and utilization of a system architecture, are still limited to the ITA level and merely providing the guidelines for developing the information system centric architecture. Thus, it is evident that we need a suitable architecture development methodology that corresponds to the growing needs for the communication infra system architecture, as well as the general weapon system architecture. Improving a meta-model is the core of improving a architecture framework. It determines a contents of a architecture and it influences a efficiency and a effectiveness of a architecture. The meta-model of the architecture framework must reflect concerns of various stakeholders and provide a traceability among them. Also, it should be easy to develop and use the architecture by securing the feasibility of the logical relationships and eliminating the duplication of the data inside the architecture. It is implemented through the development of the data-centric architecture and achieved through the "Fit-for-purpose" concept.

• 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.