• 대한지리학회지
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• 제38권5호
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• pp.786-801
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• 2003

본 연구는 영국의 남동잉글랜드지역을 대상으로 사회적으로 박탈된 지역과 학업성취도의 관계를 살펴보고자 하였다. 이 지역은 영국에서 상대적으로 사회경제적 지위가 높은 지역임에도 불구하고 학업성취도의 공간적 편차가 심하게 나타난다. 학업성취도의 공간적 불평등은 거주지역의 박탈여부와 관련하여 설명할 수 있다. 다양한 박탈지표를 사용하여 박탈공간의 패턴을 알아보고 학업성취도와의 관계를 살펴본 결과 남동잉글랜드에서 학업성취도는 사회적으로 박탈된 지역과 매우 밀접한 관련성을 나타냈다. 박탈현상이 심한 지역이 그렇지 않은 지역과 비교하여 상대적으로 낮은 학업성취도를 나타냈다. 남동잉글랜드에서 낮은 학업성취도를 나타내는 박탈지역은 일반적으로 남동해안가에 밀집되어 있으며 내륙으로 들어갈수록 박탈현상이 약해지면서 학업성취도가 높게 나타났다. 그리고 높은 학업성취도에 비해 학업성취도가 낮을수록 거주지역의 박탈요소와 깊은 연관성을 지니는 것으로 설명되었다.

• 한국건설관리학회논문집
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• 제16권6호
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• pp.22-30
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• 2015

기업이 지속적으로 성장하기 위해서는 실현가능한 목표를 설정하고 그 목표를 달성하였는지 파악하여 끊임없이 목표를 관리하여야 한다. 나아가 개선해야 할 부분을 보완하여 목표를 재설정하고 그에 맞도록 성과를 관리하여야 한다. 최근 건설 분야에서도 조직, 프로젝트 및 기업의 성과에 대해서 많은 논의가 이루어지고 있다. 특히 건설사업관리는 건설공사의 사업수행 단계는 물론 시설물 생애주기에 걸쳐 효율적이고 전문적인 관리활동이 요구된다. 건설사업관리의 성과측정에 대해 국내의 많은 연구 대부분은 성과측정 모델의 기본적인 개념을 정립하는 수준에 머물러 있다. 또한, 건설현장 및 건설사업관리의 특성이 제대로 반영되지 못하여 성과관리시스템을 현장 실무에 적용하지 못하고 있는 실정이다. 따라서 본 연구에서는 균형성과표를 활용한 건설사업관리의 성과영역 및 핵심성과지표를 도출하여 객관적인 성과측정을 위한 기초자료를 제시하고자 한다.

• 산업경영시스템학회지
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• 제35권2호
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• pp.220-227
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• 2012

The case company has driven the six sigma innovation programme company wide for the last seven years without any stop in spite of the CEO change. There was neither any benchmark nor the sufficient number of internal experts during the initial stage of driving six sigma. However, the company raised a lot of innovation experts such as MBB, BB and GB, thereby successfully changed the way of employees' doing work and reaped an enormous amount of either visible or invisible performances as a result of implementing the six sigma innovation programme. This paper deals with both main activities undertaken at each stage of the innovation life cycle of six sigma and their performances in a ICT (Information Communication Technology) industry. The performances are described from the four aspects of a balanced score card (BSC) and finally some strategic implications suggested.

• Asian Pacific Journal of Cancer Prevention
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• 제13권12호
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• pp.6273-6276
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• 2012

Background/Aim: Six prostate cancer (PCa) susceptibility loci were identified in a genome-wide association study (GWAS) in populations of European decent. However, the associations of these 6 single-nucleotide polymorphisms (SNPs) with PCa has remained tobe clarified in men in Northern China. This study aimed to explore the loci associated with PCa risk in a Northern Chinese population. Methods: Blood samples and clinical information of 289 PCa patients and 288 controls from Beijing and Tianjin were collected. All risk SNPs were genotyped using polymerase chain reaction (PCR)-high resolution melting curve technology and gene sequencing. Associations between PCa and clinical covariates (age at diagnosis, prostate-specific antigen [PSA], Gleason score, tumor stage, and level of aggressiveness) and frequencies of alleles and genotypes of these SNPs were analyzed using genetic statistics. Results: Among the candidate SNPs, 11p15 (rs7127900, A) was associated with PCa risk (P = 0.02, odds ratio [OR] = 1.64, 95% confidence interval [CI] = 1.09-2.46). Genotypes showed differences between cases and controls on 11p15 (rs7127900, A), 11q13 (rs7931342, T), and HNF1B (rs4430796, A) (P = 0.03, P = 0.01, and P = 0.04, respectively). The genotype TG on 11q13 (rs7931342, T) was positively associated with an increased Gleason score (P = 0.04, OR = 2.15, 95% CI = 1.02-4.55). Patients carrying TG on 17q24 (rs1859962, G) were negatively associated with an increased body mass index (BMI) (P = 0.03, OR = 0.44, 95% CI = 0.21-0.92) while those with AG on HNF1B (rs4430796, A) were more likely to have PSA increase (P = 0.002). Conclusion: Our study suggests that 11p15 (rs7127900, A) could be a susceptibility locus associated with PCa in Northern Chinese. Genotype TG on 11q13 (rs7931342, T) could be related to an increased Gleason score, AG on HNF1B (rs4430796, A) could be associated with PSA increase, and TG on 17q24 (rs1859962, G) could be negatively associated with an increased BMI in Chinese men with PCa.

• 대한수의학회지
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• 제59권1호
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• pp.17-24
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• 2019

Animal models of osteoarthritis (OA) have played a key role in understanding the etiology of OA and in the development of new therapeutic strategies. Although pigs have an advantage as an animal disease model due to their similarity to humans, there are few studies on the induction of OA in minipigs. Therefore, this study aimed to characterize disease progression of OA in total medial meniscectomy (TMM)-operated skeletally mature minipigs, up to day 180 postoperatively. There were no significant alterations in vital signs or hematological indices throughout the observation period. However, clinical manifestations of OA in the medial femoral condyles of TMM-operated minipigs were progressive, depending on postoperative duration, with respect to osteophytes formation and roughened surfaces on radiological observation, cartilage erosion under macroscopic examination, and severe cartilage defects including fibrillation, vertical fissures, and cartilage denuding on histopathological observation, with the highest score indicating late-stage OA on day 180 and without indicating apparent variation between subjects. In particular, the lateral femoral condyles were also degenerated, possibly due to localization of weight-bearing from both menisci to the lateral meniscus. Therefore, TMM in minipigs is suitable for reproducible induction of degenerative changes in the femorotibial joints that closely resemble late-stage OA, and is suitable for use in further research.

• Asian Pacific Journal of Cancer Prevention
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• 제14권5호
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• pp.3075-3078
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• 2013

Background: KLK3 gene products, like human prostate-specific antigen (PSA), are important biomarkers in the clinical diagnosis of prostate cancer (PCa). G protein-coupled receptor RFX6, C2orf43 and FOXP4 signaling plays important roles in the development of PCa. However, associations of these genes with PCa in northern Chinese men remain to be detailed. This study aimed to investigate their impact on occurrence and level of malignancy. Methods: All subjects were from Beijing and Tianjin, including 266 cases with prostate cancer and 288 normal individuals as controls. We evaluated associations between clinical covariates (age at diagnosis, prostate specific antigen, Gleason score, tumor stage and aggressive) and 6 candidate PCa risk loci, genotyped by PCR- high resolution melting curve and sequencing methods. Results: Case-control analysis of allelic frequency of PCa associated with PCa showed that one of the 6 candidate risk loci, rs339331 in the RFX6 gene, was associated with reduced risk of prostate cancer (odds ratio (OR) = 0.73, 95% confidence interval (CI) =0.57-0.94, P = 0.013) in northern Chinese men. In addition, subjects with CX (CC+TC) genotypes had a decreased risk for prostrate cancer compared to those carrying the TT homozygote (OR =0.64, 95% CI = 0.45- 0.90, P = 0.008). The TT genotype of 13q22 (rs9600079, T) was associated with tumor stage (P=0.044, OR=2.34, 95% CI=0.94-5.87). Other SNPs were not significantly associated with clinical covariates in prostate cancer (P > 0.05). Conclusions. rs339331 in the RFX6 gene may be associated with prostate cancer as a susceptibility locus in northern Chinese men.

• 문화기술의 융합
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• 제9권4호
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• pp.303-308
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• 2023

본 연구의 목적은 중소기업이 실질적으로 적용할 수 있는 BSC 구축을 위한 실무 가이드를 제공하는 것이며, 이를 위해 사례분석으로 텐트 폴대 제조회사인 J사의 현장요구형 균형성과표(BSC)를 통한 성과평가시스템를 구축하고 경영전략체계도를 제공하고자 하였다. 조사방법으로 1단계 BSC관련 제안요구서 비교를 통해 발주기관의 요구사항을 정리하였으며, 2단계 결과보고서 정리를 통해 BSC 구축방법을 정리하고, 3단계 BSC 4가지 관점별 중소기업 요구형 KPI 지표를 도출하고, 4단계 SWOT 분석을 통한 기업비전을 도출하고, 5단계 현장 요구형 KPI, 가중치 설정, BSC를 통한 전략맵 개발, 6단계 최종 전략체계도 작성하였다. 연구결과 BSC 4가지 관점을 부서별로 재구성하였다. 즉 재원(재무)관점은 임원관점, 고객관점은 영업부관점, 내부프로세스 관점은 설계부·생산품질부 관점, 학습·혁신관점은 관리부관점으로 간주할 수 있었다. 또한 J기업의 요구형 CSF는 총11개, KPI는 총49개 도출하였다. 연구의 한계는 해당 기업의 BSC를 통한 최종 전략체계도 까지만 진행되었으며, 향후 회사의 보상제도와 연계할 필요가 있다.

• 한국IT서비스학회지
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• 제20권2호
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• pp.1-11
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• 2021

As a key of access to public participation and information, e-government is taking the active role of public service by relevant laws and policy measures for universal use of e-government websites. To improve the accessibility of web contents, the level of deriving the results for each detailed evaluation item according to the Korean web contents accessibility guideline is carried out, which is an important factor according to the detailed evaluation items for each website property and requires data-based management. In this paper, detailed indicators are analyzed based on the quality control level diagnosis results of existing domestic e-government websites, and the results are classified according to high and low to propose new improvement directions and induce detailed improvement. Depending on the necessity of management according to the detailed indicators for each website attribute, not only results but also level diagnosis to strengthen web service quality suggests directions for future improvement through accurate detailed analysis and research for policy feedback. This study ultimately makes it possible to expect government system management based on predicted data through deduction history management based on evaluation score data on public websites. And it provides several theoretical and practical implications through correlation and synergy. The characteristics of each score for the quality management of public sector websites were identified, and the accuracy of evaluation, the possibility of sophisticated analysis, such as analysis of characteristics of each institution, were expanded. With creating an environment for improving the quality of public websites and it is expected that the possibility of evaluation accuracy and elaborate analysis can be expanded in the e-government performance and the post-introduction stage of government website service.

• Advances in concrete construction
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• 제13권1호
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• pp.11-23
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• 2022

Conventional concrete needs some improvement in the mechanical properties, which can be obtained by different admixtures. However, making concrete samples costume always time and money. In this paper, different types of hybrid algorithms are applied to develop predictive models for forecasting compressive strength (CS) of concretes containing metakaolin (MK) and fly ash (FA). In this regard, three different algorithms have been used, namely multilayer perceptron (MLP), radial basis function (RBF), and support vector machine (SVR), to predict CS of concretes by considering most influencers input variables. These algorithms integrated with the grey wolf optimization (GWO) algorithm to increase the model's accuracy in predicting (GWMLP, GWRBF, and GWSVR). The proposed MLP models were implemented and evaluated in three different layers, wherein each layer, GWO, fitted the best neuron number of the hidden layer. Correspondingly, the key parameters of the SVR model are identified using the GWO method. Also, the optimization algorithm determines the hidden neurons' number and the spread value to set the RBF structure. The results show that the developed models all provide accurate predictions of the CS of concrete incorporating MK and FA with R² larger than 0.9972 and 0.9976 in the learning and testing stage, respectively. Regarding GWMLP models, the GWMLP1 model outperforms other GWMLP networks. All in all, GWSVR has the worst performance with the lowest indices, while the highest score belongs to GWRBF.

• Nuclear Engineering and Technology
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• 제56권4호
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• pp.1284-1295
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• 2024

Due to increasing operational security demands, digital and intelligent condition monitoring of nuclear power plants is becoming more significant. However, establishing an accurate and effective anomaly detection model is still challenging. This is mainly because of data characteristics of nuclear power data, including the lack of clear class labels combined with frequent interference from outliers and anomalies. In this paper, we introduce a Transformer-based unsupervised model for anomaly detection of nuclear power data, a modified loss function based on the maximum correntropy criterion (MCC) is applied in the model training to improve the robustness. Experimental results on simulation datasets demonstrate that the proposed Trans-MCC model achieves equivalent or superior detection performance to the baseline models, and the use of the MCC loss function is proven can obviously alleviate the negative effect of outliers and anomalies in the training procedure, the F1 score is improved by up to 0.31 compared to Trans-MSE on a specific dataset. Further studies on genuine nuclear power data have verified the model's capability to detect anomalies at an earlier stage, which is significant to condition monitoring.