• The Journal of Information Systems
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• v.24 no.1
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• pp.27-44
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• 2015

Supply chain management (SCM) aims to provide the coordination and execution of planning and decision-making in multi organization-wide production and distribution. The advancement of information technology and the globalization of market promote SCM integration. Information sharing has become a major driver of competitive advantage in SCM. In this research, we aim to analyze the influence of SCM integration on firm performance and the role of information sharing between SCM integration and firm performance. Of the 750 questionnaires posted, a total of 218 questionnaires were collected after one follow-up. A total of 199 questionnaires were analyzed after 19 questionnaires were eliminated due to largely missing values. We used structural equation modeling technique to validate the causal relationship between SCM integration, information sharing, and firm performance. The results suggest that improved SCM integration both within the focal company (intra-organization) and across companies (inter-organization) enhances firm performance positively. Information sharing acts as a mediator between the SCM integration and the firm performance. Intra-organization SCM integration is positively related to inter-organization SCM integration, namely, SCM integration with suppliers and customers. The results suggest that internal integration of SCM significantly influences external integration with customers and suppliers. The result also shows that supply chain integration has a positive influence on firm performance and information sharing positively impacts firm performance as well.

• Korean Journal of Veterinary Research
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• v.44 no.4
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• pp.561-569
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• 2004

To detect viral agents and isolate porcine circovirus 2 (PCV2), 60 samples of lung and lymph node were collected from 5 to 12 week-old pigs that had showed clinical signs of postweaning multisystemic wasting syndrome (PMWS). Polymerase chain reactions (PCRs) were conducted to identify the viral pathogens including PCV1, PCV2, porcine parvovirus (PPV) and porcine reproductive and respiratory syndrome virus (PRRSV) that have been considered to be the causal agents of PMWS. Among 60 samples, PCV 2 was detected from 57 samples but no PCV 1 was detected. PRRSV and/or PPV were also detected from 27 (47.4%) samples and 1 (1.8%) sample of these 57 PCV 2-positive samples, respectively. Tissue homogenates were inoculated onto PCV-free PK-15 cell monolayers. Seven isolates were confirmed as PCV 2 by multiplex PCR, indirect immunofluorescence assay, and transmissible electron microscopy. These date suggest that PRRSV is a major cofactors causing PMWS in pigs that were infected with PCV2 in Korea.

• International Commerce and Information Review
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• v.15 no.4
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• pp.47-68
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• 2013

This paper attempts to reveal the relationships between HACCP, traceability, sharing information factors and Business Performance. According to precedent studies, Our study analysed 132cases from Korean companies which adopted a HACCP and then developed a structural equation model. As a result of the model test, this empirical study found that HACCP have a positively significant influence on food supply chain's traceability, sharing information and business performance. Second, there was a positive relationship among transparency, sharing information and Business performance. Last and foremost, transparency affects positively on Business performance mediate sharing information. For further study should be conducted for discovering effective practice factors of HACCP.

• Korean Journal of Veterinary Service
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• v.37 no.4
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• pp.253-261
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• 2014

Porcine circovirus disease (PCVD) is a major problem of swine industry worldwide, and diagnosis of PCV2, causal agent of PCVD, has been doing in clinical laboratories of pig disease by polymerase chain reaction (PCR) methods. But the PCR analyses have a serious problem of misdiagnosis by contamination of DNA, in particular, from carryover contamination with previously amplified DNA or extracted DNA from field samples. In this study, an uracil DNA glycosylase (UNG)-based direct PCR (udPCR) without DNA extraction process and DNA carryover contamination was developed and evaluated on PCV2 culture and field pig samples. The sensitivity of the udPCR combined with dPCR and uPCR was same or better than that of the commercial PCR (cPCR) kit (Median diagnostics, Korea) on PCV2-positive serum, lymph node and lung samples of the pigs. In addition, the udPCR method confirmed to have a preventing ability of mis-amplification by contamination of pre-amplified PCV2 DNA from previous udPCR. In clinical application, 170 pig samples (86 tissues and 84 serum) were analysed by cPCR kit and resulted in 37% (63/170) of positive reaction, while the udPCR was able to detect the PCV2 DNA in 45.3% (77/170) with higher sensitivity than cPCR. In conclusion, the udPCR developed in the study is a time, labor and cost saving method for the detection of PCV2 and providing a preventing effect for DNA carryover contamination that can occurred in PCR process. Therefore, the udPCR assay could be an useful alternative method for the diagnosis of PCV2 in the swine disease diagnostic laboratories.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.585-589
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• 2008

LCD (Liquid Crystal Display)는 디지털 기기의 주요 구성 요소이며, 모든 크기의 FPD (Flat Panel Display) 시장에서 지배적인 시장점유율을 보인다. 그러나 많은 전문가들은 LCD 산업이 수년 내에 OLED (Organic Light Emitting Diodes), 3차원 디스플레이, 플렉서블 디스플레이와 같은 차세대 디스플레이 기술의 강력한 도전에 직면할 것이라고 예상한다. 이러한 경쟁환경에서 LCD 산업이 살아남기 위한 방안으로 본 연구에서는 LCD 산업의 경쟁력의 원천을 밝혀내고, 이를 극대화하는 전략적 방향을 제시한다. 이를 위해 먼저 LCD 산업구조와 가치사슬을 분석하여 LCD 산업의 경쟁력을 제고하기 위한 기본적인 전략적 대안을 개발한다. 이 단계에서 얻어진 통찰력을 바탕으로, 인과지도(causal loop diagram)와 시스템 다이나믹스 (system dynamics) 방법론을 활용하여 기존의 LCD 산업구조에서 판매량, 시장점유율 및 이익 등의 핵심 지표에 가장 큰 영향을 미치는 구조적 특징을 규명한다. 또한, 여기서의 다이나믹스 모형을 바탕으로, LCD 제조업자의 관점에서 프로세스 역량을 극대화할 수 있는 전략적 대안을 모색한다.

• The Plant Pathology Journal
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• v.17 no.6
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• pp.329-335
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• 2001

Yellowing disease of palms caused by phytoplasma is spreading in the Arabian Gulf region. Surveys were conducted to determine the occurrence of the disease. Electron and fluorescence microscopy, and polymerase chain reaction (PCR) techniques were used to detect the phytoplasma associated with the yellowing disease of ornamental palm Washingtonia sp. grown in Kuwait. An accumulation of phytoplasmal DNA was observed by fluorescence microscopy in phloem tissues of diseased palms. Electron microscopy showed that phytoplasma cells were primarily confined to the phloemsieve elements of tissue samples collected from infected mature palms in the field. The pathogen was identified on the basis of molecular analysis using universal and specific nested primers in PCR amplifications. Prokaryotic 16S rDNA gene was detected in amplified PCR products. Nested PCR resulted in DNA amplification of 1.2 kbp fragment. This is the first report of a phytoplasmal rDNA gene identified from the putative causal pathogen of yellows in ornamental palms in the Arabian Gulf region.

• Journal of Microbiology and Biotechnology
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• v.22 no.8
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• pp.1113-1117
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• 2012

Shigella sonnei is a causal agent of fever, nausea, stomach cramps, vomiting, and diarrheal disease. The present study describes a quantitative polymerase chain reaction (qPCR) assay for the specific detection of S. sonnei using a primer pair based on the methylase gene for the amplification of a 325 bp DNA fragment. The qPCR primer set for the accurate diagnosis of Shigella sonnei was developed from publically available genome sequences. This quantitative PCR-based method will potentially simplify and facilitate the diagnosis of this pathogen and guide disease management.

• Korean System Dynamics Review
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• v.12 no.1
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• pp.59-74
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• 2011

This article deals with an economic evalutation of the 'Pasture Project of Kum River', which is the farming plan of mitten crabs in a stream of it. An augmented model of social capital is based on the past ecological-economic system dynamics model and elaborated further with suggestions of social capital literature. During the modeling process a chain diagram of causal relations and its relevant mathematical equations are presented for simulating the project performance, and the simulation results are provided to contrast the dynamic behaviors of the former ecological-economic model with ones of the new model incorporating social capital. The results indicate that an increase in the economic benefit of the project could happen in case of considering the process of social capital accumulation around the case area, which can be regarded as a remarkable trial to approve the common confidence in the role of social capital to enhance an economic achievement.

• Journal of Korean Foot and Ankle Society
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• v.1 no.2
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• pp.126-131
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• 1997

Hallux valgus is a hereditary deformity whose natural history is influenced by intrinsic and extrinsic factors. The deformity is infrequently noticed in newborns and infants because of its trivial nature that does not draw attention. Because in childhood and adolescence this deformity usually does not lead to functional disability, it is seldom treated actively. Opinions differ concerning the causal relationship of these deformities and appropriate treatment. It is clear, however, that the deviated great toe continues to deform, and leads to a chain of anatomical and functional changes. Thus, the advantages of the immediate treatment is obvious, especially in infancy, when the foot is supple. We are reporting one case of congenital hallux valgus with brief review of literature.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1441-1444
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• 2007

It is now widely acknowledged that climate variability modifies the frequency spectrum of hydrological extreme events. Traditional hydrological frequency analysis methodologies are not devised to account for nonstationarity that arises due to variation in exogenous factors of the causal structure. We use Hierarchical Bayesian Analysis to consider the exogenous factors that can influence on the frequency of extreme floods. The sea surface temperatures, predicted GCM precipitation, climate indices and snow pack are considered as potential predictors of flood risk. The parameters of the model are estimated using a Markov Chain Monte Carlo (MCMC) algorithm. The predictors are compared in terms of the resulting posterior distributions of the parameters associated with estimated flood frequency distributions.