• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2002년도 학술대회지
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• pp.446-449
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• 2002

건설사업을 수행하기 위해서는 건설사업과 직접 또는 간접적으로 연관된 다양한 정보들이 요구된다. 본 연구는 건설CALS 통합데이터베이스를 구축하기 위하여 핵심 성공 요인을 도출하고 공공부문의 정보화 사업과 데이터베이스의 조사를 통해 건설사업 수행에 필요한 연계 대상 정보를 선정하였다. 그리고, 선정된 정보를 프로젝트 기반 정보와 일반정보로 구분하여 각각의 정보통합 방안으로 지식관리시스템을 통한 연계와 메타데이터를 통한 중계연계 방식을 제안하고 포탈환경의 건설CALS 통합데이터베이스 구축 방안을 제시하였다.

• Journal of Animal Science and Technology
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• 제56권2호
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• pp.5.1-5.5
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• 2014

The objectives of this study were thus to identify most significant factors that determine milk component yield (MCY) using a meta-analysis and, if possible, to develop equations to predict MCY using variables that can be easily measured in the field. A literature database was constructed based on the research articles published in the Journal of Dairy Science from Oct., 2007 till May, 2010. The database consisted of a total of 442 observed means for MCY from 118 studies. The candidate factors that determine MCY were those which can be routinely measured in the field (e.g. DMI, BW, dietary forage content, chemical composition of diets). Using a simple linear regression, the best equations for predicting milk fat yield(MFY) and milk protein yield (MPY) were $MFY=0.351({\pm}0.068)+0.038({\pm}0.003)$ DMI ($R^2=0.27$), and $MPY=0.552({\pm}0.071)+0.031({\pm}0.002)DMI-0.004({\pm}0.001)$ FpDM (%, forage as a percentage of dietary DM) ($R^2=0.38$), respectively. The best equation for predicting milk fat content (%) explained only 12% of variations in milk fat content, and none of a single variable can explain more than 5% of variations in milk protein content. We concluded that among the tested variables, DMI was the only significant factor that affects MFY and both DMI and FpDM significantly affect MPY. However, predictability of linear equations was relatively low. Further studies are needed to identify other variables that can predict milk component yield more accurately.

• 정보처리학회논문지D
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• 제16D권5호
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• pp.701-714
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• 2009

서비스 기반의 전사적 데이터 통합은 기업 변화의 가속화에 따른 통합적인 데이터 관리가 필요하다. 기업 간 협업은 비즈니스 프로세스를 이용하여 분산된 데이터베이스들에 접근하여 이루어진다. 이러한 접근은 글로벌 쿼리 기반으로 수행되기 때문에 이기종간의 상호운용을 위해서 데이터 이질성, 스키마 이질성, 유효성 검증과 같은 문제가 선결되어야 한다. 따라서 협업은 동적이면서 신뢰성 있는 구조를 갖추어야 한다. 본 논문에서는 협업을 위한 XMDR-DSM(eXtended MetaData Registry-Data Service Mediator) 시스템을 제안한다. XMDR-DSM은 XMDR-DS와 XMDR-DQP, XMDR-DAI로 구성되어 글로벌 스키마와 로컬 스키마간의 매핑을 지원해주고, 데이터 접근 및 통합 서비스를 제공한다. 따라서 이기종 데이터베이스 상호간의 업무 지원이 가능하게 하고, 정보를 재활용 가능한 자산으로 확보할 수 있는 이점과 교환의 표준화를 제시할 수 있다. 그리고 워크플로우 기반의 비즈니스 프로세스 제공할 수 있으므로 일원화된 정보를 관리할 수 있게 된다. 따라서 정보 수명을 증대하고 비용절감을 할 수 있게 된다.

• 한국노년학
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• 제30권1호
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• pp.49-63
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• 2010

본 논문의 목적은 8개 국가에서 이뤄진 70대와 80대 고령자 집단의 노인 낙상 예방 프로그램의 메타 비교분석을 통해 향후 한국의 효과적인 노인 낙상 예방 프로그램 개발에 정책적 함의를 제공하는 것이다. 분석 자료는 Medline in Ovid, PsychInfo, Cochrane Database of Systematic Reviews에서 체계적 검토법을 통해 추출한 총 11건의 RCT 연구 논문이다. Review Manager를 이용한 메타 분석 결과, 노인 낙상 예방 프로그램은 70대 고령자 집단에서는 효과성이 있었으나(OR=0.65, 신뢰도 95%), 지속적이지는 못했으며, 80대 고령자 집단에서는 효과성이 없었다(OR=1.57, 신뢰도 95%). 본 논문은 향후 한국의 효과적인 노인 낙상 예방 프로그램 개발에 세 가지 정책적 함의를 제공해 주고 있다. 첫째, 70대 고령자 집단을 대상으로 한 지속적인 낙상 예방 프로그램이 개발되어야 하고, 둘째, 70대와 차별화된 80대 이상의 고령자에 대한 효과성이 담보된 새로운 낙상 예방 프로그램이 개발되어야 하며, 끝으로, 노인성 질환을 앓고 있는 노인을 대상으로 인지-행동적 요소를 고려한 차별화된 새로운 낙상 예방 프로그램이 개발되어야한다.

• 한방재활의학과학회지
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• 제31권1호
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• pp.149-163
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• 2021

Objectives This study is to review the effectiveness of exercise after lung cancer surgery. Methods Relevant randomized controlled trials (RCTs) were searched in PubMed database. The systematic review was conducted through flow diagram. The risk of biases were assessed through the Cochrane guideline. Characteristics and outcomes were extracted from each study. Meta-analyses of forced expiratory volume in one second (FEV1), 6-minute walk test (6MWT), quality of life (QoL), pulmonary complications were conducted. Results 14 RCTs were selected. In meta-analysis, exercise improved FEV1 (mean difference [MD] 0.14; 95% confidence interval [CI] 0.04 to 0.25; p=0.009; I2=55%) and mean change of FEV1 (MD 0.11; 95% CI 0.02 to 0.20; p=0.02; I2=0%). Exercise increased the distance of 6MWT, but there was considerable heterogeneity (MD 45; 95% CI 21.16 to 68.83; p=0.0002, I2=89%). There was no differences in QoL scores by 2 questionnaires (European Organisation for Research and Treatment of Cancer quality of life questionnaire, short form-36). Exercise reduced the duration of hospital stay (MD -3.32; 95% CI -5.27 to -1.36; I2=0%; 2 studies) but not duration of chest tube intubation (MD -1.37; 95% CI -2.81 to 0.06; I2=0%) and incidence of pulmonary complications (pooled risk ratio 0.54; 95% CI 0.23 to 1.30; I2=0%). Conclusions Exercise might reduce the duration of hospital stay after lung surgery. There was not enough evidence to prove improvement of lung function, aerobic capacity, muscle strength, QoL, and decline of pulmonary complications. Low-quality risk of bias, different units or estimation of outcome, different exercise type and duration, heterogeneity among studies make the evidence of effectiveness weak. Future researches are required to redeem these defects.

• 시스템엔지니어링학술지
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• 제18권2호
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• pp.75-93
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• 2022

Machine learning (ML) data-driven meta-model is proposed as a surrogate model to reduce the excessive computational cost of the physics-based model and facilitate the real-time prediction of a nuclear power plant's transient response. To forecast the transient response three machine learning (ML) meta-models based on recurrent neural networks (RNNs); specifically, Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU), and a sequence combination of Convolutional Neural Network (CNN) and LSTM are developed. The chosen accident scenario is a control element assembly withdrawal at power concurrent with the Loss Of Offsite Power (LOOP). The transient response was obtained using the best estimate thermal hydraulics code, MARS-KS, and cross-validated against the Design and control document (DCD). DAKOTA software is loosely coupled with MARS-KS code via a python interface to perform the Best Estimate Plus Uncertainty Quantification (BEPU) analysis and generate a time series database of the system response to train, test and validate the ML meta-models. Key uncertain parameters identified as required by the CASU methodology were propagated using the non-parametric Monte-Carlo (MC) random propagation and Latin Hypercube Sampling technique until a statistically significant database (181 samples) as required by Wilk's fifth order is achieved with 95% probability and 95% confidence level. The three ML RNN models were built and optimized with the help of the Talos tool and demonstrated excellent performance in forecasting the most probable NPP transient response. This research was guided by the Systems Engineering (SE) approach for the systematic and efficient planning and execution of the research.

• Asian Pacific Journal of Cancer Prevention
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• 제14권1호
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• pp.189-193
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• 2013

Many epidemiological studies in Asian populations have investigated associations between the Arg399Gln gene polymorphism of X-ray repair cross complementing gene 1 (XRCC1) and risk of cervical carcinoma, but no conclusions have been available because of controversial results. Therefore a meta-analysis was conducted for clarification. Relevant studies were identified by searching the Pubmed, Embase, the Web of Science, Cochrane Collaboration's database, Chinese National Knowledge Infrastructure (CNKI), Wanfang database and China Biological Medicinse (CBM) until September, 2012. A total of eight studies were included in the present meta-analysis, which described 1,759 cervical carcinoma cases and 2,497 controls. Odds ratios (ORs) and corresponding 95% confidence intervals (95%CIs) as effect size were calculated by fixed-effect or random-effect models. The overall results indicated that the XRCC1-399G/A polymorphism was marginally associated with cervical carcinoma in Asians: OR (95%CI): 1.16 (1.07, 1.26) in the G/A vs G/G inheritance model, 1.24 (0.87, 1.76)in A/A vs G/G inheritance model, 1.13 (1.01, 1.27) in the dominant inheritance model and 1.18 (0.94, 1.47) in the recessive inheritance model. Subgroup analyses on sample size showed no significant correlation in the small-sample size group but the large-sample size group was consistent with the outcomes of overall meta-analysis. In the subgroup analysis by regions, we only found significant association under the G/A vs G/G inheritance model in the Chinese population. For the non-Chinese populations, no correlation was detected in any genetic inheritance model. In the Asian populations, XRCC1-399G/A gene polymorphism was implied to be associated with cervical carcinoma.

• Asian Pacific Journal of Cancer Prevention
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• 제14권7호
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• pp.4243-4247
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• 2013

The relationship between the X-ray repair cross-complementing group 3 (XRCC3) Thr241Met polymorphism and gliomas remains inclusive or controversial. For better understanding of the effect of XRCC3 Thr241Met polymorphism on glioma risk, a meta-analysis was performed. All eligible studies were identified through a search of PubMed, Elsevier Science Direct, Excerpta Medica Database (Embase) and Chinese Biomedical Literature Database (CBM) before May 2013. The association between the XRCC3 Thr241Met polymorphism and gliomas risk was conducted by odds ratios (ORs) and 95% confidence intervals (95% CIs). A total of nine case-control studies including 3,533 cases and 4,696 controls were eventually collected. Overall, we found that XRCC3 Thr241Met polymorphism was significantly associated with the risk of gliomas (T vs. C: OR=1.10, 95%CI=1.01-1.20, P=0.034; TT vs. CC: OR=1.30, 95%CI=1.03-1.65, P=0.027; TT vs. TC/CC: OR=1.29, 95%CI=1.01-1.64, P=0.039). In the subgroup analysis based on ethnicity, the significant association was found in Asian under four models (T vs. C: OR=1.17, 95%CI=1.07-1.28, P=0.00; TT vs. CC: OR=1.79, 95%CI=1.36-2.36, P=0.00; TT vs. TC/CC: OR=1.75, 95%CI=1.32-2.32, P=0.00; TT/TC vs. CC: OR=1.11,95% CI=1.02-1.20). This meta-analysis suggested that the XRCC3 Thr241Met polymorphism is a risk factor for gliomas, especially for Asians. Considering the limited sample size and ethnicities included in the meta-analysis, further large scale and well-designed studies are needed to confirm our results.

• Molecules and Cells
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• 제24권2호
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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/).

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제6권2호
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• pp.113-119
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• 2000

본 논문에서는 주기억장치 데이타베이스의 특성을 반영하여 시간제약조건을 처리할 수 있는 실시간 주기억장치 데이타베이스시스템을 위한 질의 처리기를 설계하고 구현한다. 제안된 질의 처리기는 메타 데이타베이스를 이용하여 시간제약을 갖는 실시간 데이타를 유지 관리한다. 응용 프로그램의 작성을 위해서 CLI를 지원하고 있으며, 이를 확장한 확장 CLI와 저장 CLI를 지원하여 확장 CLI를 이용하여 실시간 트랜잭션의 정보를 CLI를 사용으로 표현할 수 있도록 하였고, 빈번하게 수행되는 트랜잭션을 지원하기 위해 저장 CLI를 지원한다. 제안된 질의 처리기는 주기억장치 실시간 데이타베이스 관리시스템의 질의처리기로 구현하였으며, 성능평가를 통해서 시스템의 질의처리 능력과 실시간 데이타의 효율적인 관리를 통해서 종료시한을 만족하는 실시간 트랜잭션의 비율이 증가됨을 보였다.