• Journal of Veterinary Science
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• 제25권2호
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• pp.28.1-28.11
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• 2024

Background: Porcine circovirus type 2 (PCV2) infection is ubiquitous around the world. Diagnosis of the porcine circovirus-associated disease requires clinic-pathological elements together with the quantification of viral loads. Furthermore, given pig farms in regions lacking access to sufficient laboratory equipment, developing diagnostic devices with high accuracy, accessibility, and affordability is a necessity. Objectives: This study aims to investigate two newly developed diagnostic tools that may satisfy these criteria. Methods: We collected 250 specimens, including 170 PCV2-positive and 80 PCV2-negative samples. The standard diagnosis and cycle threshold (Ct) values were determined by quantitative polymerase chain reaction (qPCR). Then, two point-of-care (POC) diagnostic platforms, convective polymerase chain reaction (cPCR, qualitative assay: positive or negative results are shown) and EZtargex (quantitative assay: Ct values are shown), were examined and analyzed. Results: The sensitivity and specificity of cPCR were 88.23% and 100%, respectively; the sensitivity and specificity of EZtargex were 87.65% and 100%, respectively. These assays also showed excellent concordance compared with the qPCR assay (κ = 0.828 for cPCR and κ = 0.820 for EZtargex). The statistical analysis showed a great diagnostic power of the EZtargex assay to discriminate between samples with different levels of positivity. Conclusions: The two point-of-care diagnostic platforms are accurate, rapid, convenient and require little training for PCV2 diagnosis. These POC platforms can discriminate viral loads to predict the clinical status of the animals. The current study provided evidence that these diagnostics were applicable with high sensitivity and specificity in the diagnosis of PCV2 infection in the field.

• Pediatric Infection and Vaccine
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• 제8권1호
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• pp.90-93
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• 2001

목 적 : 소아 감염병 중 가장 흔한 상기도 감염의 원인이 되는 A군 연쇄구균 상기도 감염은 급성기 합병증 뿐만 아니라, 류마티열이나 사구체 신염과 같은 후기 합병증의 가능성 때문에 정확한 진단과 치료가 중요하다고 하겠다. A군 연쇄구균이 원인이 되는 상기도 감염은 5~30% 정도에 불과하나 실제 상기도 감염시 많은 임상의사들이 부적절한 항생제 사용을 하게되는 것을 볼 수 있다. 또한 항균제의 부적절한 사용에 따른 항균제 내성 세균이 증가추세에 있는 실정이고, 외래 상기도 감염 환자에게 있어서 항생제 투여 여부를 결정할 수 있는 당위성을 제공하는 신속검사에 대한 유용성을 알아보고자 한다. 방 법 : 2000년 10월부터 2001년 1월까지 경희의료원 소아과 외래와 마산파티마병원 소아과 외래를 방문하였던 상기도 감염 환아 중 임상적으로 인두 편도염이 의심되었던 87명을 대상으로 신속검사와 인두배양검사를 동시에 실시하였다. 환아로 부터 소독된 면봉을 이용하여 양쪽 편도와로 부터 검체를 2회 채취하여 신속검사와 혈액한천배지에 각각 접종하였다. 신속검사는 접종즉시 키트내 삽입된 지침서에 따라 시행하였고 혈액한천배지에 접종하였던 배지는 흔히 사용되는 방법으로 배양하여 두 검사의 일치율 유무를 검토하였다. 결 과 : 인두 편도염 증세를 보인 87명의 환아 중 균배양 검사에서 39명에서 A군 연쇄구균이 배양되었으며, 이중 신속검사에 대한 양성예측율은 92.3%(39명 중 36명)이었으며, 예민도는 81.8%(44명 중 36명)을 보였다. 신속검사의 특이도는 93.0%(43명 중 40명)이었으며, 음성 예측율은 83%(48명 중 40명)을 보였다. 결 론 : 신속검사의 양성 예측율과 특이도가 매우 높은 결과를 보였으며, 외래 상기도 감염 환자에서의 항생제 사용여부를 결정하는데 있어 간편하게 시행할 수 있는 방법이라고 생각된다.

• Journal of Biosystems Engineering
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• 제37권6호
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• pp.420-428
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• 2012

Purpose: Porcine proliferative enteropathy(PPE), caused by the obligate intracellular bacterium Lawsonia intracellularis, is a widely distributed disease throughout the world causing substantial economic loss. The bacterial pathogen invades the intestinal epithelial cells which causes hyperplasia of the infected cells and leads to the process of disease pathogenesis. For diagnosing PPE in a pig farm in earlier stage, a rapid diagnosing test equipment is needed for farmers. To test the equipment appropriately, we prepare the samples and antibodies for rapid detecting the Lawsonia intracellularis in pig feces. Methods : To prepare the PPE infected samples, we sampled PPE suspected pig feces in a pig farm. To manufacture a anti-Lawsonia intracellularis antibody for capturing the Lawsonia intracellularis, the rabbit-anti LsaA synthetic peptide polyclonal antibody was inoculated to rabbits. To select the couple of antibodies which is most well sandwiched with the bacteria, ELISA test was done with PPE infected ileum samples. Finally, to verify the PPE infected feces which would be used to test the rapid kit, PCR test was done on the sampled PPE suspected feces Results : The rabbit-anti LsaA synthetic peptide polyclonal antibody is developed, and is verified to capture the bacterial well through the fluorescence antibody test. Also, we found that the monoclonal antibody and the polyclonal antibody could be used as couples for sandwiching the bacteria. Finally, through the PCR test for samples of pig feces, we could prepare the 150 PPE positive samples and 50 PPE negative samples. Conclusions : The manufactured polyclonal antibody and the imported monoclonal antibody could be used to capture the bacteria using the sandwich techniques. Also, the prepared PPE infected negative and positive samples could be used to test the performance of the rapid kit to capture the bacterium Lawsonia intracellularis.

• Journal of Electrical Engineering and Technology
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• 제13권6호
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• pp.2485-2492
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• 2018

The rapid development of large-scale integrated circuits has brought great challenges to the circuit testing and diagnosis, and due to the lack of exact fault models, inaccurate analog components tolerance, and some nonlinear factors, the analog circuit fault diagnosis is still regarded as an extremely difficult problem. To cope with the problem that it's difficult to extract fault features effectively from masses of original data of the nonlinear continuous analog circuit output signal, a novel approach of feature extraction and dimension reduction for analog circuit fault diagnosis based on wavelet packet decomposition, local linear embedding algorithm, and clone selection algorithm (WPD-LLE-CSA) is proposed. The proposed method can identify faulty components in complicated analog circuits with a high accuracy above 99%. Compared with the existing feature extraction methods, the proposed method can significantly reduce the quantity of features with less time spent under the premise of maintaining a high level of diagnosing rate, and also the ratio of dimensionality reduction was discussed. Several groups of experiments are conducted to demonstrate the efficiency of the proposed method.

• Clinical and Experimental Pediatrics
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• 제49권11호
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• pp.1140-1151
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• 2006

Inherited metabolic disorders are individually rare but as a whole, they are nor rare. Since Archibald Garrod introduced a concept of "inborn error of metabolism" or "chemical individuality", more than 500 diseases are currently known, affecting approximately one in 500 newborns cumulatively. They frequently manifest with acute, life-threatening crisis that require immediate specific intervention or they present with insidious diverse symptoms and signs involving multiple visceral organs or tissues as well as central nervous system, hampering a correct diagnosis. In addition, many pediatricians are not familiar with all diagnostic and therapeutic strategies for diverse inherited metabolic disorders. However, the prognosis of affected children are heavily dependent on rapid and effective treatment. In this lecture, practical guidelines for the specific diagnosis based on diverse clinical features of inherited metabolic disorders will be described. Many sophisticated laboratory tests are available for confirmatory diagnosis of each disease, which challenge to general pediatricians with respect to knowledge about biochemical metabolite assay test, enzymatic test and DNA diagnostic tests. Sample collections, indications, methods and interpretation of results in varying laboratory tests will be listed as well.

• 대한유전성대사질환학회지
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• 제6권1호
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• pp.40-51
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• 2006

Purpose: A personal computer-based system was developed for automated metabolic profiling of organic aciduria and aminoacidopathy by gas chromatography-mass spectrometry and data interpretation for the diagnosis of metabolic disorders Methods: For automatic data profiling and interpretation, we compiled retention time, two target ions and their intensity ratio for 77 organic acids and 13 amino acids metabolites. Metabolites above the cut-off values were flagged as abnormal compounds. The data interpretation was a based on combination of flagged metabolites. Diagnostic or index metabolites were categorized into three groups, "and", "or" and "NO" compiled for each disorder to improve the specificity of the diagnosis. Groups "and" and "or" comprised essential and optional compounds, respectively, to reach a specific diagnosis. Group "NO" comprised metabolites that must be absent to make a definite diagnosis. We tested this system by analyzing patients with confirmed Propionic aciduria and others. Results: In all cases, the diagnostic metabolites were identified and correct diagnosis was founded to be made among the possible disease suggested by the system. Conclusion: The study showed that the developed method could be the method of choices in rapid, sensitive and simultaneous screening for organic aciduria and amino acidopathy with this simplified automated system.

• 대한유전성대사질환학회지
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• 제13권1호
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• pp.1-19
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• 2013

Inherited metabolic disorders are individually rare but as a whole, they are nor rare. Since Archibald Garrod introduced a concept of "inborn error of metabolism" or "chemical individuality", more than 600 diseases are currently known, affecting approximately one in 500 newborns cumulatively. They frequently manifest with acute, life-threatening crisis that requires immediate specific intervention or they present with insidious diverse symptoms and signs involving multiple visceral organs or tissues as well as central nervous system, hampering a correct diagnosis. In addition, many pediatricians are not familiar with all diagnostic and therapeutic strategies for diverse inherited metabolic disorders. However, the prognosis of affected children are heavily dependent on rapid and effective treatment. In this lecture, practical guidelines for the specific diagnosis based on diverse clinical features of inherited metabolic disorders will be described. Many sophisticated laboratory tests are available for the confirmatory diagnosis of each disease, which is challenging to general pediatricians with respect to knowledge about biochemical metabolite assay test, enzymatic test and DNA diagnostic tests. Sample collections, indications, methods and interpretation of results in varying laboratory tests will be listed as well.

• 대한유전성대사질환학회지
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• 제23권2호
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• pp.1-7
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• 2023

유전성 대사질환은 생화학적 대사 이상에 의해 발생하는 질환 군으로, 매우 다양할 뿐만 아니라 임상 양상이 서로 겹칠 수 있어 진단에 어려움을 겪을 수 있다. 과거에는 유전성 대사질환의 원인이 될 수 있는 유전자를 선정한 후 한 개씩 분석하는 방식으로 유전자 검사를 시행했다. 하지만, 최근에는 차세대 염기서열분석 기술이 발전함에 따라 유전성 대사질환과 관련된 수백-수천개의 유전자를 한꺼번에 분석하거나, 인간의 모든 유전자를 포함하는 엑솜/게놈 분석을 시행한 후 원인 유전자를 찾는 방식으로 유전 진단의 패러다임이 바뀌고 있다. 본 종설에서는 차세대 염기서열분석을 이용한 유전성 대사질환의 유전 진단 방법과 진단율 및 주의점 등을 살펴보고자 한다.

• 식물병연구
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• 제30권1호
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• pp.99-102
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• 2024

Integrated pest management is essential for controlling plant diseases that reduce crop yields. Rapid diagnosis is crucial for effective management in the event of an outbreak to identify the cause and minimize damage. Diagnosis methods range from indirect visual observation, which can be subjective and inaccurate, to machine learning and deep learning predictions that may suffer from biased data. Direct molecular-based methods, while accurate, are complex and time-consuming. However, the development of large multimodal models, like GPT-4, combines image recognition with natural language processing for more accurate diagnostic information. This study introduces GPT-4-based system for diagnosing plant diseases utilizing a detailed knowledge base with 1,420 host plants, 2,462 pathogens, and 37,467 pesticide instances from the official plant disease and pesticide registries of Korea. The AI plant doctor offers interactive advice on diagnosis, control methods, and pesticide use for diseases in Korea and is accessible at https://pdoc.scnu.ac.kr/.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2008년도 춘계학술대회논문집
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• pp.809-816
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• 2008

With increasing demands for reducing cost of maintenance which can detect machine fault automatically; low cost and intelligent functionality sensors are required. Rapid developments, in semiconductor, computing, and communication have led to a new generation of sensor called "smart" sensors with functionality and intelligence. The purpose of this research is comparison of machine fault classification between general analyzer signals and smart sensor signals. Three types of sensors are used in induction motors faults diagnosis, which are vibration, current and flux. Classification results are satisfied.