• 원예과학기술지
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• 제32권4호
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• pp.544-549
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• 2014

Lily symptomless virus (LSV), Lily mottle virus (LMoV), and Cucumber mosaic virus (CMV) are the most prevalent viruses infecting lilies in Korea. Leaf and bulb samples showing characteristic symptoms of virus infection were collected in 2012, and 80 field samples were analyzed by reverse transcription polymerase chain reaction (RT-PCR). The infection frequencies were 79% for LMoV, 5% for LSV, and 3% for CMV. The LMoV coat protein gene was amplified and cloned into the pET21d(+) expression vector to develop serological diagnostic tools to detect LMoV. The resulting carboxy-terminal His-tagged coat proteins were expressed in Escherichia coli strain BL21 (DE3) by induction with IPTG. The recombinant proteins were purified using Ni-NTA agarose beads and used as an antigen to produce polyclonal antibodies in laying hens. The resulting egg yolk immunoglobulin (IgY) specifically recognized LMoV from infected plant tissues in immunoblotting assays and had comparable sensitivity to that of a mammalian antibody. In addition, method of immunocapture RT-PCR using this IgY was developed for sensitive, efficient, and rapid detection of LMoV. Based on these results, large-scale bulb tests and detection of LMoV in epidemiological studies can be performed routinely using this IgY. This is the first report of production of a polyclonal IgY against a plant virus and its use for diagnosis.

• Tuberculosis and Respiratory Diseases
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• 제39권1호
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• pp.1-6
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• 1992

The diagnosis of tuberculosis is usually established using staining and culturing techniques. Fluorescent stains have improved the sensitivity of direct microscopy. Improved culture media coupled with radiometric means of detecting early mycobacterial growth have shortened the time needed for cultural diagnosis. Rapid immunodiagnostic techniques based on the detection of mycobacterial antigen or of antibodies to theses antigens have not, however, come into widespread clinical use. The DNA or RNA hybridization tests with labeled specific probes which have been described so far are not sensitive enough to be used for clinical speicimens without prior culturing. The advent of the polymerase chain reaction (PCR) has opened new possibilities for diagnosis of microbial infections. This technique has already been applied to a number of microorganisms. In the field of mycobacteria the PCR has been used to identify and to detect DNAs extracted from various mycobacteria. However, despite the extraordinary enthusiasm surrounding this technique and the considerable investiment, PCR has not emerged from the developmental "trenches" in the passed several years. It may be a considerable lenth of time before clinical microbiology laboratories become PCR playgrounds because many details remain to be worked out.

• 한국콘텐츠학회논문지
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• 제14권11호
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• pp.558-574
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• 2014

최근 복부비만, 고혈압, 당뇨, 고지혈증과 같은 대사성 증후군에 속하는 질환이 급격히 증가하여 지방간 환자수가 급격히 증가하고 있다. 이를 위해 자기공명영상을 통한 검진이 요구되는데 관심 영역과 관심 영역이 아닌 영역의 intensity 값이 상당히 유사하거나 동일한 경우가 많기 때문에 전문적인 물, 지방 분리 방법을 통해서 분석하는 경우가 많다. 그러나 이러한 분리법은 필드의 불균일성이 큰 고자장으로 갈수록 부정확한 결과가 도출하게 된다. 본 논문은 이러한 기존 분리법의 한계를 극복하고자, 고자장에서도 적용이 가능한 필드 맵 측정 방법을 제안한다. 제안 방법은 기존 IDEAL 시퀀스로 얻어진 에코 영상을 통해 필드 맵을 생성하고, 클러스터링 작업, 그리고 영역성장법 스키마 기반의 least square fit을 통한 필드 맵의 보정, 마지막으로 필드 맵의 homogeneity를 위한 경계선의 보정을 수행하여 최종적으로 물과 지방을 분리한다. 실험결과 IDEAL방법이 평균 61.5%, Yu의 방법이 평균 62.6%, 제안 방법이 평균 86.4%의 지방 검출율로 제안방법이 월등함을 확인하였다. 또한 물 검출율 역시 제안 방법이 평균 98.4%의 물 검출율로 Fat saturation의 평균 88.6% 보다 높은 정확도를 확인 할 수 있었다.

• 한국어병학회지
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• 제1권2호
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• pp.103-110
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• 1988

양식어류의 세균성 질병의 신속한 진단을 위하여 틸라피아(O. niloticus)로부터 분리된 $\beta$용혈성 연쇄구균인 Streptococcus sp. KST-2균주를 사용하여 면역효소법으로 검출실험을 하였으며, 면역효소법의 현장사용의 용이함과 검출의 민감도를 알아보기 위하여 counterimmunoelectrophoresis(CIE), 및 이중면역확산법등과 비교하여 보았다. 다른 어류 병원균과의 교차반응 결과 교차반응이 전혀 일어나지 않는 것으로 보아 이 방법은 $\beta$용혈성 연쇄구균(KST-2균주)에 매우 특이적임을 알 수 있었다. 연쇄구균의 검출실험한 결과 면역효소법은 $1{\times}10^3CFU/ml$의 농도까지 검출가능하였으며, 검출의 민감성이 CIE에 비해 $10^2$배, 이중면역확산법에 비해 $10^4$배나 높은 것으로 나타났다. 면역효소법은 이번 연구에서 사용된 진단법 중에서 현장사용이 가장 용이하며, 민감성이 가장 뛰어난 것으로 나타났다.

• Journal of Microbiology and Biotechnology
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• 제20권1호
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• pp.193-201
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• 2010

A specific and rapid real-time PCR assay for detecting Ralstonia solanacearum in horticultural soil and plant tissues was developed in this study. The specific primers RSF/RSR were designed based on the upstream region of the UDP-3-O-acyl-GlcNAc deacetylase gene from R. solanacearum, and a PCR product of 159 bp was amplified specifically from 28 strains of R. solanacearum, which represent all genetically diverse AluI types and all 6 biovars, but not from any other nontarget species. The detection limit of $10^2\;CFU/g$ tomato stem and horticultural soil was achieved in this real-time PCR assay. The high sensitivity and specificity observed with field samples as well as with artificially infected samples suggested that this method might be a useful tool for detection and quantification of R. solanacearum in precise forecast and diagnosis.

• 방사선산업학회지
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• 제18권1호
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• pp.89-93
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• 2024

Accidents at nuclear facilities and nuclear power plants led to leaks of large amounts of radioactive substances. Of the various radioactive nuclides released, ¹³⁷Cs are radioactive substances generated during the fission of uranium. Therefore, due to the high fission yield (6.09%), strong gamma rays, and a relatively long half-life (30 years), a rapid and efficient removal method and a study of adsorbents are needed. Accordingly, an adsorbent was prepared using Prussian blue (PB), a material that selectively adsorbs radioactive cesium. As a result of evaluating the adsorption performance with the prepared adsorbent, it was confirmed that 82% of the removal efficiency was obtained, and most of the cesium was rapidly adsorbed within 10 to 15 minutes. The purpose of this study was to adsorb cesium using the Prussian blue alginate bead and to compare the change in detection efficiency according to the amount of adsorbent added for quantitative evaluation. However, in this case, it is difficult to determine the detection efficiency using a standard source with the same conditions as the measurement sample, so the efficiency change of the HPGe detector according to the different heights of Prussian blue was calculated through MCNP simulation using certified standard materials (1 L, Marinelli beaker) for radioactivity measurement. It is expected to derive a relational equation that can calculate detection efficiency through an efficiency curve according to the volume of Prussian blue, quantitatively evaluate the activity at the same time as the adsorption of radioactive nuclides in actual contaminated water and use it in the field of nuclear facility operation and dismantling in the future.

• 한국동물위생학회지
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• 제33권1호
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• pp.1-6
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• 2010

Monoclonal antibody (mAb)-based enzyme immune-slide assay (EISA) was used for the detection of Peste des petits ruminants (PPR) virus from field samples collected from a natural outbreak. The clinicopathological study was undertaken to diagnose the case primarily of PPR. Antigen was detected from discharges and faeces of infected goats and swabs of postmortem lesions prepared on glass slide or glass plate using acetone fixation. Nasal discharge collected at the early stage of disease course or lung is an appropriate ante- or postmortem sample for this technique, respectively. Convalescent polyclonal sera collected from recovered animals which were diagnosed as PPR by EISA showed high antibody titer against PPR by C-ELISA, demonstrating the satisfactory specificity of the test. Therefore, EISA is a sensitive and specific assay to confirm PPR infection both in field and laboratory conditions and especially suitable for developing country.

• Parasites, Hosts and Diseases
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• 제58권2호
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• pp.147-152
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• 2020

Malaria is a potent burden on public healthcare worldwide due to requiring rapid diagnosis and treatment. Nowadays, prompt diagnosis with rapid diagnostic tests (RDTs) has been widely accepted as an effective diagnostic technique in malaria-endemic countries, primarily due to their easy operation, fast output, and straightforward interpretation. The global availability and use of RDTs have gradually grown over recent decades as field-applicable diagnostic tests for the reliable confirmation of malaria infection and proper case management. This study was conducted to evaluate diagnostic performance of 3 commercially available malaria RDT kits : BIOCREDIT^TM Malaria Ag Pf(pLDH), Malaria Ag Pf(pLDH/pHRPII), and Malaria Ag Pf/Pv(pLDH/pLDH) (where pLDH and pHRPII stand for plasmodium lactate dehydrogenase and histidine-rich protein 2, respectively) for the specific detection of Plasmodium falciparum. A total of 1,129 blood samples including 95 blood samples, confirmed as vivax malaria infection by microscopic examinations and a nested-PCR method, were tested for falciparum malaria infection. The overall sensitivity and specificity of Malaria Ag Pf(pLDH/pHRPII), Malaria Ag Pf/Pv(pLDH/pLDH), and Pf(pLDH) for P. falciparum were 99.0% and 100%, 95.8% and 100%, and 100% and 100%, respectively. It is proposed that the 3 RDT kits perform reliable level of diagnostic accuracy of detection for P. falciparum parasites.

• Smart Structures and Systems
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• 제24권5호
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• pp.567-585
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• 2019

In the past two decades, structural health monitoring (SHM) systems have been widely installed on various civil infrastructures for the tracking of the state of their structural health and the detection of structural damage or abnormality, through long-term monitoring of environmental conditions as well as structural loadings and responses. In an SHM system, there are plenty of sensors to acquire a huge number of monitoring data, which can factually reflect the in-service condition of the target structure. In order to bridge the gap between SHM and structural maintenance and management (SMM), it is necessary to employ advanced data processing methods to convert the original multi-source heterogeneous field monitoring data into different types of specific physical indicators in order to make effective decisions regarding inspection, maintenance and management. Conventional approaches to data analysis are confronted with challenges from environmental noise, the volume of measurement data, the complexity of computation, etc., and they severely constrain the pervasive application of SHM technology. In recent years, with the rapid progress of computing hardware and image acquisition equipment, the deep learning-based data processing approach offers a new channel for excavating the massive data from an SHM system, towards autonomous, accurate and robust processing of the monitoring data. Many researchers from the SHM community have made efforts to explore the applications of deep learning-based approaches for structural damage detection and structural condition assessment. This paper gives a review on the deep learning-based SHM of civil infrastructures with the main content, including a brief summary of the history of the development of deep learning, the applications of deep learning-based data processing approaches in the SHM of many kinds of civil infrastructures, and the key challenges and future trends of the strategy of deep learning-based SHM.

• Parasites, Hosts and Diseases
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• 제52권5호
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• pp.501-505
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• 2014

In recent years, rapid diagnostic tests (RDTs) have been widely used for malaria detection, primarily because of their simple operation, fast results, and straightforward interpretation. The Asan $EasyTest^{TM}$ Malaria Pf/Pan Ag is one of the most commonly used malaria RDTs in several countries, including Korea and India. In this study, we tested the diagnostic performance of this RDT in Uganda to evaluate its usefulness for field diagnosis of malaria in this country. Microscopic and PCR analyses, and the Asan $EasyTest^{TM}$ Malaria Pf/Pan Ag rapid diagnostic test, were performed on blood samples from 185 individuals with suspected malaria in several villages in Uganda. Compared to the microscopic analysis, the sensitivity of the RDT to detect malaria infection was 95.8% and 83.3% for Plasmodium falciparum and non-P. falciparum, respectively. Although the diagnostic sensitivity of the RDT decreased when parasitemia was ${\leq}500\;parasites/{\mu}l$, it showed 96.8% sensitivity (98.4% for P. falciparum and 93.8% for non-P. falciparum) in blood samples with parasitemia ${\geq}100\;parasites/{\mu}l$. The specificity of the RDT was 97.3% for P. falciparum and 97.3% for non-P. falciparum. These results collectively suggest that the accuracy of the Asan $EasyTest^{TM}$ Malaria Pf/Pan Ag makes it an effective point-of-care diagnostic tool for malaria in Uganda.