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Moon, Hyoung Joon,Oh, Jin Sik,Na, Woonsung,Yeom, Minjoo,Han, Sang Yoon,Kim, Sung Jae,Park, Bong Kyun,Song, Dae Sub,Kang, Bo Kyu 한국조명·전기설비학회 2016 한국조명·전기설비학회 학술대회논문집 Vol. No.
<P>A pandemic influenza A (H1N1) virus strain was isolated from a pig farm in Korea in December 2009. The strain was propagated in and isolated from both the Madin-Darby canine kidney cell line and embryonated eggs. The partial and complete sequences of the strain were identical to those of A/California/04/2009, with >99% sequence similarity in the HA, NA, M, NS, NP, PA, PB1, and PB2 genes. The isolated strain was inactivated and used to prepare a swine influenza vaccine. This trial vaccine, containing the new isolate that has high sequence similarity with the pandemic influenza A (H1N1) virus, resulted in seroconversion in Guinea pigs and piglets. This strain could therefore be a potential vaccine candidate for swine influenza control in commercial farms.</P>
Hyoung-Joon Moon,Seong-Jun Park,김혜권,Soo-Kyung Ann,Semi Rho,Hyun-Ok Keum,Bong-Kyun Park 대한수의학회 2010 Journal of Veterinary Science Vol.11 No.3
The purpose of this study was to develop a multiplex PCR that can detect porcine endogenous retrovirus (PERV)proviral genes (pol, envA, envB, envC) and porcine mitochondrial DNA, using a dual priming oligonucleotide (DPO) system. The primer specifically detected the PERV proviral genes pol, envA, envB, envC, and porcine mitochondrial DNA only in samples of pig origin. The sensitivity of the primer was demonstrated by simultaneous amplification of all 5 target genes in as little as 10 pg of pig DNA containing PERV proviral genes and mitochondrial DNA. The multiplex PCR, when applied to field samples,simultaneously and successfully amplified PERV proviral genes from liver, blood and hair root samples. Thus, the multiplex PCR developed in the current study using DPO-based primers is a rapid, sensitive and specific assay for the detection and subtyping of PERV proviral genes.
Effect of the drug containing toltrazuril and iron on anemia in suckling piglets
Hyoung Joon Moon,Hwan Goo Kang,Gye-Hyeong Woo 한국실험동물학회 2021 한국실험동물학회 학술발표대회 논문집 Vol.2021 No.7
Newborn piglets are likely to develop anemia because they do not receive enough iron from the sows milk until weaning. Piglets raised in natural conditions can get enough ion from the soil, but now they are usually raised indoors on concrete, metal, or plastic floors so iron supplements are required. Anemia is caused by low iron levels in hemoglobin, the part of the blood that carries oxygen through the body and causes grow impairment in piglets. Piglets with anemia become pale and fluid accumulates around the larynx, chest, and body space. Anemic piglets generally have diarrhea and are less resistant to the environment or diseases. In untreated piglets, about 10% mortality occurs before weaning. In general, iron supplements are administered between 1 and 3 days of age for the purpose of preventing anemia in piglets. In this clinical field study, we was carried out to determine the field efficacy of a novel injectable formulation containing toltrazuril and iron (test drug) compared to a positive control drug with a commercial iron, for anemia treatment effect in suckling piglets on commercial farms. 80 animals were randomly selected from 8 pregnant sows and 40 animals were allocated per group. The test drug and the positive control drug were administered to 40 piglets of each group at the time of 3 days of age after delivery. After administration, the clinical symptoms of all piglets were observed daily, and blood samples were collected using anticoagulant tube on the day of administration (3 days old) and 16 days old (13 days after administration). To observed the effect on anemia in offspring, PCV, RBC count, hemoglobin concentration, MCH, and MCHC were examined using HEMAVET 950FS (Drew Scientific Group). At the same time, the weight of animals at the age of 3, 16, and weaning was measured to determine the weight gain. The concentration of hemoglobin, an anemia indicator, was significantly different between the two groups at 16 days of age (p<0.01), but all were within the normal range physiologically. There was no significant difference between the two groups in the number of red blood cells and hematocrit, which are reference indicators of anemia, and the number of RBCs and hemoglobin increased to the level of the normal physiological range by administration of the test and positive control drug. The number of RBCs in test group was higher than that of the positive control group. No side effects including redness, swelling, and induration, were observed in all piglets treated with the test and positive drugs. In conclusion, this study proved that the administration of 3-day-old piglets with test drug in a domestic farm environment is effective in preventing anemia in piglets. A single intramuscular administration of test drug (toltrazuril and iron mixture) is safe and effective in controlling piglet anemia, as well as reducing the number of injections and corrections to reduce stress on piglets and managers. Acknowlegement: This study was conducted with the support of Elanco Animal Health Korea co., LTD. We would like to express our gratitude to Professor Jae-hoon Kim of Jeju National University, Dr. Seok Jun Yoon, and Dr. SooHwan Kim of Elanco Animal Health Korea co., LTD who helped in this study.
Complete Genome Analysis of Porcine Enterovirus B Isolated in Korea
Moon, Hyoung-Joon,Song, DaeSub,Seon, Bo Hyeon,Kim, Hye-Kwon,Park, Seong-Jun,An, Dong-Jun,Kim, Jong-Man,Kang, Bo-Kyu,Park, Bong-Kyun American Society for Microbiology 2012 Journal of virology Vol.86 No.18
<P>The complete genome sequence of porcine enterovirus B (PEV-B) from a Korean isolate was analyzed. The genome size was 7,393 bp. Previously, full genome sequences of PEV-B had been reported from the United Kingdom, Hungary, and China. The Korean PEV-B isolate presented polyprotein gene nucleotide sequence similarities of 77.9, 73.7, 78.9, and 80.3%, respectively, to PEV-B UKG/410/73, LP54, PEV15, and Chinese strains (Ch-ah-f1).</P>
데이터 스트림 분류를 위한 딥러닝 추론 모델의 분산 처리
문효종(Hyojong Moon),손시운(Siwoon Son),문양세(Yang-Sae Moon) 한국정보과학회 2021 정보과학회논문지 Vol.48 No.10
다양한 분야에서 데이터 스트림이 생성되고 있으며, 이를 딥러닝에 적용하는 활용 사례가 증가하고 있다. 딥러닝을 사용하여 데이터 스트림을 분류하기 위해서는 서빙(serving)을 통해 모델을 실시간 실행시켜야 한다. 이러한 서빙 모델은 gRPC 또는 HTTP 통신으로 인해 데이터 스트림을 분류에 큰 지연 시간이 발생한다. 또한, 서빙된 모델이 높은 복잡도를 가지는 스태킹 추론 모델이라면, 데이터 스트림 분류에 더 큰 지연시간이 발생한다. 이를 해결하기 위해, 본 논문에서는 아파치 스톰(Apache Storm)을 사용한 데이터 스트림 분류의 분산 처리 해결책을 제안한다. 첫째, 기존 서빙 방법으로 데이터 스트림을 분류할 때 발생하는 지연시간을 줄이기 위해 아파치 스톰 기반 실시간 분산 추론 기법을 제안한다. 실험 결과, 제안한 분산 추론 기법이 기존 서빙 방법에 비해 최대 11배까지 지연시간을 줄인 것으로 나타났다. 둘째, 스태킹을 적용한 악성 URL 탐지 모델로 URL 스트림을 분류할 때의 지연시간을 줄이기 위해, 네 가지 분산처리 기법을 제안한다. 제안하는 분산 처리 기법은 Independent Stacking, Sequential Stacking, Semi-Sequential Stacking, Stepwise-Independent Stacking이다. 실험 결과, 독립적 수행과 순차적 처리의 특성을 가진 Stepwise-Independent Stacking이 가장 작은 지연시간을 보여, URL 스트림 분류에 가장 적합한 것으로 나타났다. The increased generation of data streams has subsequently led to increased utilization of deep learning. In order to classify data streams using deep learning, we need to execute the model in real-time through serving. Unfortunately, the serving model incurs long latency due to gRPC or HTTP communication. In addition, if the serving model uses a stacking ensemble method with high complexity, a longer latency occurs. To solve the long latency challenge, we proposed distributed processing solutions for data stream classification using Apache Storm. First, we proposed a real-time distributed inference method based on Apache Storm to reduce the long latency of the existing serving method. The present study"s experimental results showed that the proposed distributed inference method reduces the latency by up to 11 times compared to the existing serving method. Second, to reduce the long latency of the stacking-based inference model for detecting malicious URLs, we proposed four distributed processing techniques for classifying URL streams in real-time. The proposed techniques are Independent Stacking, Sequential Stacking, Semi-Sequential Stacking, and Stepwise-Independent Stacking. Our study experimental results showed that Stepwise-Independent Stacking, whose characteristics are similar to those of independent execution and sequential processing, is the best technique for classifying URL streams with the shortest latency.