• 한국군사과학기술학회지
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• 제21권4호
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• pp.520-528
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• 2018

This paper studies the optimal inventory levels of Korea Assault Amphibious Vehicle(KAAV)'s assemblies in order to assure the required operational availability. The simulation model is built and implemented for the impact of the inventory levels on operational availability. Using regression analysis and integer programming, the optimal inventory levels of essential assemblies are suggested and analyzed. Finally, sensitivity analysis is conducted with recycling maintenance delay time.

• 품질경영학회지
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• 제38권3호
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• pp.333-339
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• 2010

It is difficult to determine an optimal inventory level of aircraft engine and modules to achieve the target operational availability since F100-PW-200 & 229 engines of the F-16 & KF-16 aircraft are consisted of 5 modules with different failure rates and costs. This study presents a decision model, combining an integer programming problem and a regression metamodel. Data for the metamodel was attained from results of a simulation model, that represents operational and repair process of F-16 and KF-16. The objective function of an integer programming problem is maximizing the operational availability, representing pessimistic circumstances. Finally, an integer programming problem with a metamodel can make an optimal decision of the inventory level.

• 한국시뮬레이션학회논문지
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• 제14권3호
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• pp.43-54
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• 2005

For the effective design of automated distribution center composed of Automated Storage/Retrieval System, Automated Guided Vehicle System, and Conveyor System, we proposed an analysis method to determining. design and control parameters with multiple performance objectives using Compromise Programming, which can resolve the dilemma of conflicting objectives. The Evolution Strategy generates the optimal solutions for each objectives. The Analytic Hierarchy Process selects the best solution among the alternatives generated from Evolution Strategy. The Regression Analysis formulates the objective functions for each objectives. By reducing deviations between goal values and target values generated from Analytic Hierarchy Process, Compromise Programming determines design and control parameters by compromising the multiple objectives formulated using Regression Analysis. When the parameters of system are changed, this proposed analysis method has a benefit of reducing costs and time without repeating whole simulation run.

• Advances in nano research
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• 제13권5호
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• pp.499-512
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• 2022

This study investigates the efficiency of ensemble machine learning for predicting the lightweight-aggregate concrete (LWC) characteristics. A stacking ensemble (STEN) approach was proposed to estimate the dry density (DD) and 28 days compressive strength (Fc-28) of LWC using two meta-models called random forest regressor (RFR) and extra tree regressor (ETR), and two novel ensemble models called STEN-RFR and STEN-ETR, were constructed. Four standalone machine learning models including artificial neural network, gradient boosting regression, K neighbor regression, and support vector regression were used to compare the performance of the proposed models. For this purpose, a sum of 140 LWC mixtures with 21 influencing parameters for producing LWC with a density less than 1000 kg/m³, were used. Based on the experimental results with multiple performance criteria, it can be concluded that the proposed STEN-ETR model can be used to estimate the DD and Fc-28 of LWC. Moreover, the STEN-ETR approach was found to be a significant technique in prediction DD and Fc-28 of LWC with minimal prediction error. In the validation phase, the accuracy of the proposed STEN-ETR model in predicting DD and Fc-28 was found to be 96.79% and 81.50%, respectively. In addition, the significance of cement, water-cement ratio, silica fume, and aggregate with expanded glass variables is efficient in modeling DD and Fc-28 of LWC.

• 대한한의학회지
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• 제42권4호
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• pp.222-237
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• 2021

Objectives: The purpose of this study was to investigate the trend in the research on cirrhotic ascites using t herbal medicine. Methods: This review was conducted using six electronic databases(NDSL, KMBASE, Koreantk, KISS, KISTI, KoreaMed) with no restriction in year. The search term was 'liver cirrhosis', 'ascites', or 'cirrhotic ascites', 'herbal medicine', 'traditional Chinese medicine', and 'randomized clinical trial', and there was no restriction in year. The searched studies were analyzed according to the type of research. Results: After scanning the titles and abstracts, 13 articles were ultimately included. Of the outcome measures of 13 studies, effective rate, liver function test, and ascites regression time were included in the meta-analysis, which showed that the effective rate of herbal medicine-supportive treatment combination therapy was 1.27 times higher than that of supportive treatment alone, and the difference was statistically significant. Conclusions: We analyzed the trends of cirrhotic ascites treatment in herbal medicine through this review. It is necessary to conduct further studies, such as well-designed clinical trials based on the results from experimental research.

• 한국산학기술학회논문지
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• 제21권8호
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• pp.429-439
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• 2020

본 연구의 목적은 메타분석을 통해 가상현실 프로그램이 뇌졸중 환자의 상지기능에 미치는 효과크기를 알아보고자 한다. 데이터베이스는 한국교육학술정보원(RISS), 한국학술정보(KISS), 국립중앙도서관, 한국학술지인용색인(KCI), 국가과학기술정보센터(NDSL)를 활용하였다. 2010년 1월부터 2019년 6월까지 가상현실 프로그램을 실시한 선행연구들을 조사하였다. 본 연구는 PICO(Patient, Intervention, Comparison, Outcome, PICO)기준에 의거하여 최종 14편을 선정하여 메타분석을 실시하였다. 질 평가도구로 RCT(Randomized Control Trials) 연구는 RoB(Risk of Bias) 도구, NRCT(Non-Randomized Control Trials) 연구는 RoBANS(Risk of Bias Assessment tool for Non-randomised Study) 도구를 사용하였다. 선정된 각 연구들의 효과크기를 산출하기 위해 CMA 3.0프로그램을 사용하였다. 추가적으로 하위집단분석과 메타회귀분석 및 출판편의 분석을 실시하였다. 가상현실 프로그램이 상지기능에 대한 전체 효과크기는 Hedges's=0.390 (95 % CI: 0.192~0.587)으로 확인되었다(p<.05). 가상현실 프로그램은 뇌졸중 환자의 상지기능에 긍정적인 영향을 미친다. 따라서, 4차 산업에 발맞추어 뇌졸중 환자를 위한 다양한 가상현실 프로그램과 산학 협력 기술 개발이 요구된다. 향후 가상현실 프로그램에 대한 RCT연구들과 세부적인 상지기능에 대한 연구가 질적 및 양적으로 확보되어야 할 것이다.

• Asian Pacific Journal of Cancer Prevention
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• 제14권3호
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• pp.1615-1621
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• 2013

Background: Matrix metalloproteinase 9 (MMP-9) is related to tumor invasion and metastasis. However, the role of MMP-9 expression in breast cancer survival remains controversial. The purpose of this study was to accomplish a more accurate estimation of the association between MMP-9 expression and survival results in breast cancer patients through meta-analysis. Methods: A meta-analysis of published studies investigating the effects of positive MMP-9 expression on both relapse free survival (RFS) and overall survival (OS) was performed. Relevant literature was confirmed by searching electronic databases including PubMed, Ovid, EMBASE and China National Knowledge Infrastructure (CNKI) before November 1, 2012. Individual hazard ratios (HRs) and 95% confidence intervals (CIs) were extracted and pooled HRs with 95% CIs were used to evaluate the strength of the association between positive MMP-9 expression and survival results of breast cancer patients. Funnel plot and Egger's regression tests were used to evaluate publication bias. Heterogeneity and sensitivity analysis was also conducted. All the work was completed using STATA. Results: A total of 2,344 patients from 15 evaluative studies were finally included. Pooled HRs and 95% CIs suggested that MMP-9 overexpression had an unfavorable impact on both OS (HR: 1.70, 95% CI: 1.41-2.04) and RFS (HR: 1.54, 95% CI: 1.17-2.01) in breast cancer patients. There was no significant heterogeneity observed in the studies reported for OS (P=0.360, $I^2$=8.8%), but not RFS (P=0.002, $I^2$=67%). Publication bias was absent among the studies both in OS and RFS cases (t=-0.54, P=0.605 and t=1.71, P=0.131, respectively). Omission of any single study had little effect on the combined risk estimates on sensitivity analysis. Conclusion: The results of this meta-analysis suggest that positive MMP-9 expression confers a higher risk of relapse and a worse survival in patients with breast cancer. Larger prospective studies are now needed to evaluate the clinical utility of MMP-9 expression.

• Asian Pacific Journal of Cancer Prevention
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• 제16권8호
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• pp.3485-3491
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• 2015

Background: Nodal invasion by colorectal cancer is a critical determinant in estimating patient survival and in choosing appropriate preoperative treatment. The present meta-analysis was designed to evaluate the diagnostic value of endorectal ultrasound (EUS) in preoperative assessment of lymph node involvement in colorectal cancer. Materials and Methods: We systematically searched PubMed, Web of Science, Embase, and China National Knowledge Infrastructure (CNKI) databases for relevant studies published on or before December 10th, 2014. The sensitivity, specificity, likelihood ratios, diagnostic odds ratio (DOR) and area under the summary receiver operating characteristics curve (AUC) were assessed to estimate the diagnostic value of EUS. Subgroup analysis and meta-regression were performed to explore heterogeneity across studies. Results: Thirty-three studies covering 3,016 subjects were included. The pooled sensitivity and specificity were 0.69 (95%CI: 0.63-0.75) and 0.77 (95%CI: 0.73-0.82), respectively. The positive and negative likelihood ratios were 3.09 (95%CI: 2.52-3.78) and 0.39 (95%CI: 0.32-0.48), respectively. The DOR was 7.84 (95%CI: 5.56-11.08), and AUC was 0.80 (95%CI: 0.77-0.84). Conclusions: This meta-analysis indicated that EUS has moderate diagnostic value in preoperative assessment of lymph node involvement in colorectal cancer. Further refinements in technology and diagnostic criteria are necessary to improve the diagnostic accuracy of EUS.

• Journal of Nutrition and Health
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• 제50권5호
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• pp.437-446
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• 2017

'계피' 건조분말 및 물추출물의 혈당 개선 기능성을 평가하기 위하여 메타 분석을 실시하였다. 2017년 5월을 기준으로 DB 검색을 통해 4,688건의 자료를 수집하여, 선정/제외 기준에 따라 선별한 결과 총 14건 (n = 709)의 연구가 분석에 포함되었다. 건조분말의 경우 하루 1~6 g씩 섭취하였을 때, 공복혈당은 -1.55 mmol/L, 식후 혈당의 곡선하면적은 $-51.8mmol/L{\cdot}min$ 수준으로, 물추출물은 하루 0.1~0.5 g씩 섭취시 공복혈당이 -0.76 mmol/L 수준으로 개선시켰으며, 당화혈색소에는 영향이 없는 것으로 분석되었다.

• Asian Pacific Journal of Cancer Prevention
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• 제16권8호
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• pp.3233-3239
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• 2015

Background: Whether depression causes increased risk of the development of breast cancer has long been debated. We conducted an updated meta-analysis of cohort studies to assess the association between depression and risk of breast cancer. Materials and Methods: Relevant literature was searched from Medline, Embase, Web of Science (up to April 2014) as well as manual searches of reference lists of selected publications. Cohort studies on the association between depression and breast cancer were included. Data abstraction and quality assessment were conducted independently by two authors. Random-effect model was used to compute the pooled risk estimate. Visual inspection of a funnel plot, Begg rank correlation test and Egger linear regression test were used to evaluate the publication bias. Results: We identified eleven cohort studies (182,241 participants, 2,353 cases) with a follow-up duration ranging from 5 to 38 years. The pooled adjusted RR was 1.13(95% CI: 0.94 to 1.36; $I^2=67.2%$, p=0.001). The association between the risk of breast cancer and depression was consistent across subgroups. Visual inspection of funnel plot and Begg's and Egger's tests indicated no evidence of publication bias. Regarding limitations, a one-time assessment of depression with no measure of duration weakens the test of hypothesis. In addition, 8 different scales were used for the measurement of depression, potentially adding to the multiple conceptual problems concerned with the definition of depression. Conclusions: Available epidemiological evidence is insufficient to support a positive association between depression and breast cancer.