• Title/Summary/Keyword: Meta-data

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A meta analysis of the climate change impact on rice yield in South Korea (기후변화가 국내 쌀 생산량에 미치는 영향에 대한 메타분석)

  • Shin, Deok Ha;Lee, Mun Su;Park, Ju-Hyun;Lee, Yung-Seop
    • 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.

Meta- and Gene Set Analysis of Stomach Cancer Gene Expression Data

  • Kim, Seon-Young;Kim, Jeong-Hwan;Lee, Heun-Sik;Noh, Seung-Moo;Song, Kyu-Sang;Cho, June-Sik;Jeong, Hyun-Yong;Kim, Woo Ho;Yeom, Young-Il;Kim, Nam-Soon;Kim, Sangsoo;Yoo, Hyang-Sook;Kim, Yong Sung
    • 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/).

A Design of WBAN Data Integration System for the HL7-based patient management

  • Hwang, Chigon;Shin, Hyoyoung;Lee, Jongyong;Jung, Kyedong
    • 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.

Trends Analysis on Research Articles of the Sharing Economy through a Meta Study Based on Big Data Analytics (빅데이터 분석 기반의 메타스터디를 통해 본 공유경제에 대한 학술연구 동향 분석)

  • Kim, Ki-youn
    • 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.

A Meta-analysis of Variable Related to Psychological Effects of the Elderly Target Program (노인대상프로그램의 심리적 효과와 관련된 변인에 대한 메타분석)

  • Choi, Mi-Seon;Song, Byung-Joo
    • 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.

A study on the improvement of MND-AMM for the expanded application to the architecture development of infra systems (기반체계 아키텍처 개발을 위한 MND-AMM 개선 연구)

  • Yoon, Tae Hun;Kim, Ui Hwan
    • 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.

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 Meta-analysis of Intervention Studies on Cancer-related Fatigue in Korea: 1990-2010 (국내 암환자 피로에 적용한 중재효과의 메타분석: 1990-2010)

  • Oh, Pok Ja;Jung, Ji Ah
    • Journal of Korean Clinical Nursing Research
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    • v.17 no.2
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    • pp.163-175
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    • 2011
  • Purpose: This study was to analyze the characteristics and effect size of intervention studies applied to cancer-related fatigue in Korea. Methods: For meta-analysis, a total of 963 studies were retrieved from search engines. And 19 studies with a total of 721 participants published from 1990 to 2010 were selected upon their satisfaction with the inclusion criteria. Two authors independently extracted data from the selected studies and assessed the methodological quality. The data was analyzed by the RevMan 5.0 program of Cochrane library. Results: Intervention studies included 4 studies on foot-reflexo-massage (21.1%), comprehensive program (21.1%), and exercise (21.1%), respectively, 3 for hand-reflexo-massage (15.8%), and 4 for others. The effect size of the intervention studies shown higher effect size in order of exercise (d=-1.80), and foot & hand-reflexo-massage (d=-0.55). Conclusion: This study suggest that exercise can reduce the intensity of cancer-related fatigue, even though the number of intervention studies and randomized controlled trials were very few. There is limited evidence that reflexo-massage is effective in reducing cancer-related fatigue.

The Extended S-O-R Model Investigating Consumer Impulse Buying Behavior in Online Shopping: A Meta-Analysis

  • LE, Trang Quang;WU, Wann-Yih;LIAO, Ying-Kai;PHUNG, Thuy Thi Thu
    • Journal of Distribution Science
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    • v.20 no.2
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    • pp.1-9
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    • 2022
  • Purpose: The online distribution channel has attracted the attention of retailers by potential impact on consumers' purchase intention. The objectives of this study are to provide an insight into how to encourage consumers' impulse buying behavior on commercial website as well as attempts to reveal factors that influence consumers' impulsive buying behavior in the online shopping environment. Research design, data and methodology: The research framework is based on the stimulus-organism-response (S-O-R) framework. The Meta-analysis method carried out the research, gathering data from 37 published studies. Results: The research findings suggest that intrinsic motivations such as perceived ease of use, perceived enjoyment, and online flow experience play a significant role in boosting consumers' hedonic value when buying and online. In addition, these findings help online retailers use appropriate marketing stimuli such as offering pricing incentives, promotion tactics, and improved communication effectiveness. Also, obtaining a better grasp of how to build a website to improve the consumer experience generally helps consumers feel the urge to buy impulsively and act without hesitation. Conclusions: This research confirms a direct positive relationship between marketing stimuli and hedonic shopping value, which may support an applied theoretical framework for future research and provide managerial implications for retailers in online distribution channels.