• 제목/요약/키워드: ML Detect

검색결과 245건 처리시간 0.026초

2. 3. 5-Triphenyl Terazolium Chloride(TTC) 환원시험법의 개선에 관한 연구 : disc plate method (A study on improvement of 2. 3. 5-Triphenyl Tetrazolium Chloride(TTC) reduction test : disc plate method)

  • 정동수;김동훈;이상목
    • 한국동물위생학회지
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    • 제18권2호
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    • pp.163-176
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    • 1995
  • Triphenyl Tetrazolium Chloride(TCC) reduction test is simple and sensitive to some residual antibiotics (especially to penicillin) in milk, but comparatively insensible to sulfo-namides. The volumn of sample is also large. Thus this study was undertaken to increase the detectable level of sulfonamides in raw milk. In this study, we used small transparent plastic hole and pulp disc instead of 10m1 test tube and made test medium in which was added 0.08%TTC, 0.3% agar, 10% skim milk, approximately $10^6$ CFU/ml streptococcus thermophilus and 5ppm Trimethoprim to enhance the sensitivity for sulfonamides The results of TCC reduction test by disc plate method were summarized as follows : 1. sensitivity to residual sulfonamides were much higher than official TCC reduction test. Detectable limites of sulfamethazine, sulfamerazine, sulfathiazole, sulfachloropy-ridazine, sulfadimethoxine, sulfamononethoxine, sulfadiazine and sulfaquinoxaline were 0.1-0.5ppm levels. 2. Detectable limites to some antibiotics were simillar or good than that of official method as 0.005-0.1ppm to three ${\beta}$ -lactams, 0.25-0.5ppm to one macrolide, 2-10ppm to three aminoglycosides, 0.2-0.5ppm to three tetracycline, 0.1-0.5ppm to chloramphenicol. 3. Only 0.1ml of milk was needed to test and the test medium could be stored appnoximatly 7days in the refrigerator. So test procedure was convenient than offcial method. 4. These results suggest that disc plate method is more useful to detect bacterial growth inhibition substances including sulfonamides in raw milk.

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Real-Time PCR Detection of 16S rRNA Novel Mutations Associated with Helicobacter pylori Tetracycline Resistance in Iran

  • Dadashzadeh, Kianoosh;Milani, Morteza;Rahmati, Mohammad;Akbarzadeh, Abolfazl
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권20호
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    • pp.8883-8886
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    • 2014
  • Background: Tetracycline is an antibiotic widely used for the treatment of Helicobacter pylori infection, but its effectiveness is decreasing due to increasing bacterial resistance. The aim of this study was to investigate the occurrence of 16S rRNA mutations associated with resistance or reduced susceptibility to tetracycline ofHelicobacter pylori by real-time PCR (RT-PCR) assays from culture. Materials and Methods: Tetracycline susceptibility and minimal inhibition concentration (MIC) was determined by the Epsilometer test (Etest) method. A LightCycler assay developed to detect these mutations was applied to DNA extracted from culture. The 16S rRNA of these isolates was sequenced and resistance-associated mutations were identified. From 104 isolates of H. pylori examined, 11 showed resistance to tetracycline. Results: LightCycler assay was applied to DNA extracted from 11 tetracycline-susceptible and 11 tetracycline resistance H. pylori isolates. In our study the sequencing of the H. pylori wild types in 16 s rRNA gene were AGA 926-928 with MIC (0.016 to $0.5{\mu}g/ml$), while the sequencing and MIC for resistant were GGA and AGC, (0.75 to $1.5{\mu}g/ml$), respectively. Also we found a novel mutation in 2 strains with $84^{\circ}C$ as their melting temperatures and exhibition of an A939C mutation. Conclusions: We conclude that real-time PCR is an excellent method for determination of H. pylori tetracycline resistance related mutations that could be used directly on biopsy specimens.

Cryptosporidium Oocyst Detection in Water Samples: Floatation Technique Enhanced with Immunofluorescence Is as Effective as Immunomagnetic Separation Method

  • Koompapong, Khuanchai;Sutthikornchai, Chantira;Sukthana, Yowalark
    • Parasites, Hosts and Diseases
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    • 제47권4호
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    • pp.353-357
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    • 2009
  • Cryptosporidium can cause gastrointestinal diseases worldwide, consequently posing public health problems and economic burden. Effective techniques for detecting contaminated oocysts in water are important to prevent and control the contamination. Immunomagnetic separation (IMS) method has been widely employed recently due to its efficiency, but, it is costly. Sucrose floatation technique is generally used for separating organisms by using their different specific gravity. It is effective and cheap but time consuming as well as requiring highly skilled personnel. Water turbidity and parasite load in water sample are additional factors affecting to the recovery rate of those 2 methods. We compared the efficiency of IMS and sucrose floatation methods to recover the spiked Cryptosporidium oocysts in various turbidity water samples. Cryptosporidium oocysts concentration at 1, $10^1$, $10^2$, and $10^3$ per $10{\mu}l$ were spiked into 3 sets of 10 ml-water turbidity (5, 50, and 500 NTU). The recovery rate of the 2 methods was not different. Oocyst load at the concentration < $10^2$ per 10 ml yielded unreliable results. Water turbidity at 500 NTU decreased the recovery rate of both techniques. The combination of sucrose floatation and immunofluorescense assay techniques (SF-FA) showed higher recovery rate than IMS and immunofluorescense assay (IMS-FA). We used this SF-FA to detect Cryptosporidium and Giardia from the river water samples and found 9 and 19 out of 30 (30% and 63.3%) positive, respectively. Our results favored sucrose floatation technique enhanced with immunofluorescense assay for detecting contaminated protozoa in water samples in general laboratories and in the real practical setting.

Rapid and Sensitive Detection of Lettuce Necrotic Yellows Virus and Cucumber Mosaic Virus Infecting Lettuce (Lactuca sativa L.) by Reverse Transcription Loop-Mediated Isothermal Amplification

  • Zhang, Yubao;Xie, Zhongkui;Fletcher, John D;Wang, Yajun;Wang, Ruoyu;Guo, Zhihong;He, Yuhui
    • The Plant Pathology Journal
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    • 제36권1호
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    • pp.76-86
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    • 2020
  • Cucumber mosaic virus (CMV) is damaging to the growth and quality of lettuce crops in Lanzhou, China. Recently, however, for the first time an isolate of lettuce necrotic yellows virus (LNYV) has been detected in lettuce crops in China, and there is concern that this virus may also pose a threat to lettuce production in China. Consequently, there is a need to develop a rapid and efficient detection method to accurately identify LNYV and CMV infections and help limit their spread. Reverse transcription loop-mediated isothermal amplification (RT-LAMP) assays were developed to detect the nucleoprotein (N) and coat protein (CP) genes of LNYV and CMV, respectively. RT-LAMP amplification products were visually assessed in reaction tubes separately using green fluorescence and gel electrophoresis. The assays successfully detected both viruses in infected plants without cross reactivity recorded from either CMV or LNYV or four other related plant viruses. Optimum LAMP reactions were conducted in betaine-free media with 6 mM Mg2+ at 65℃ for LNYV and 60℃ for 60 min for CMV, respectively. The detection limit was 3.5 pg/ml and 20 fg/ml using RT-LAMP for LNYV and CMV plasmids, respectively. Detection sensitivity for both RT-LAMP assays was greater by a factor of 100 compared to the conventional reverse transcription polymerase chain reaction assays. This rapid, specific, and sensitive technique should be more widely applied due to its low cost and minimal equipment requirements.

Development of multiplex PCR for detection of vancomycin resistant enterococci(VRE) and epidemiological application in Korea

  • Seo, Keun-seok;Song, Deok-jln;Gwyther, M.M.;Park, Yong-ho
    • 대한수의학회지
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    • 제39권2호
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    • pp.343-352
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    • 1999
  • Vancomycin resistant enterococci (VRE) have emerged as an important nosocomial pathogen. Since 1989 the Center for Disease Control, United States, has reported a rapid increase in the incidence of enterococcal bacteremia and endocarditis infection by VRE. It was suggested that the use of avoparcin was associated with the appearance of VRE in animal husbandry. To date, several detection methods have been used based on conventional methods of culture and gene detection. However, these methods have some limitations such as time-consuming, laborious and additional differential needs. Therefore, In this study a multiplex PCR method was established to detect and differentiate resistance types of enterococci which specifically amplify the four van genes encoding vancomycin resistance elements. Using the method, we investigated the incidence rates and types of VRE from farms using or not using avoparcin. A total of 1091 animal fecal samples were collected from 70 pig and 32 poultry farms. A total of 425 of enterococci were isolated from samples. Of the 425 isolates, 11 of the them showed a pattern of high-level vancomycin resistance (MIC : $64{\sim}256{\mu}g/ml$) which was associated with the presence of the vanA or vanB gene. Fifty-seven isolates showed a pattern of low-level vancomycin resistance (MIC : $3{\sim}8{\mu}g/ml$) associated with the vanC-1 or vanC-2 gene. Interestingly, all isolates with high-level vancomycin resistance were from farms that have never used avoparcin. Moreover, the high-level VRE isolation rate in Korea (2.58%) was much lower than that of other countries (50% in England, 7% in Belgium) where avoparcin have been used. In conclusion, the multiplex PCR method established in this study could be applied for detection of VRE.

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DNA 측정용 SH-SAW 센서 개발 (Development of an SH-SAW Sensor for Detection of DNA)

  • 허영준;박유근;노용래
    • 한국음향학회지
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    • 제24권3호
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    • pp.160-165
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    • 2005
  • 본 연구에서는 DNA의 고정화 및 DNA 혼성화 반응을 감지할 수 있는 SH형 SAW 센서를 개발하였다. 고정화 및 혼성화 반응에 사용된 탐침 DNA 및 표적 DNA는 상보적 결합이 일어날 수 있는 염기서열을 가진 15-mer의 올리고뉴클레 오티드를 사용하였다. SH형 SAW 센서는 압전 단결정 $36^{\circ}\;YX\;LiTaO_3$를 사용하여 100 MHz로 발진되는 이중 지연선 형태로 제작하였다. 제작된 센서는 Au가 증착된 박막위에 고정화된 탐침 DNA와 표적 DNA와의 혼성화 반응을 시키고 난 후 센서의 주파수 변화를 측정하였으며, DNA 고정화 및 혼성화 반응은 pH 7.4의 PBS 완충용액상에서 수행하였다. 개발된 SH형 SAW센서는 $1.55 {\cal}ng/{\cal}ml/Hz$의 민감도를 가지며, DNA 혼성화 특성에 기인한 질량하중 효과에 따른 안정적인 주파수 변화를 나타내었다.

YOLO 기반 개체 검출과 Node.js 서버를 이용한 반려견 행동 분류 시스템 구현 (Implementation of a Classification System for Dog Behaviors using YOLI-based Object Detection and a Node.js Server)

  • 조용화;이혁재;김영훈
    • 융합신호처리학회논문지
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    • 제21권1호
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    • pp.29-37
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    • 2020
  • 본 논문은 실시간 영상 분석을 통해서 반려견에 대한 객체를 추출해 내고, 추출된 이미지로부터 반려견 행동을 분류하는 방법을 구현한다. 반려견 객체 탐지를 위해서 Darknet YOLO를 사용하였으며, 추출된 이미지로부터 행동 패턴 분류는 구글에서 제공하고 있는 Teachable Machine을 이용하였다. 학습된 Teachable Machine은 구글 드라이브에 저장되어 node.js 서버 상에서 ml5.js로 구현하여 사용할 수 있다. 분류된 행동 패턴 결과는 사용자의 스마트 폰 또는 PC로 실시간 전송되며, 언제 어디서든 확인 가능할 수 있게 node.js 서버에서 socket.io 모듈을 사용해서 상호반응 웹 서버를 구현하였다.

Immunoenhancing Effects of Euglena gracilis on a Cyclophosphamide-Induced Immunosuppressive Mouse Model

  • Yang, Hyeonji;Choi, Kwanyong;Kim, Kyeong Jin;Park, Soo-yeon;Jeon, Jin-Young;Kim, Byung-Gon;Kim, Ji Yeon
    • Journal of Microbiology and Biotechnology
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    • 제32권2호
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    • pp.228-237
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    • 2022
  • In this study, the effects of the immune stimulator Euglena gracilis (Euglena) in cyclophosphamide (CCP)-induced immunocompromised mice were assessed. The key component β-1,3-glucan (paramylon) constitutes 50% of E. gracilis. Mice were orally administered Euglena powder (250 and 500 mg/kg body weight (B.W.)) or β-glucan powder (250 mg/kg B.W.) for 19 days. In a preliminary immunology experiment, ICR mice were intraperitoneally injected with 80 mg of CCP/kg B.W. during the final 3 consecutive days. In the main experiment, BALB/c mice were treated with CCP for the final 5 days. To evaluate the enhancing effects of Euglena on the immune system, mouse B.W., the spleen index, natural killer (NK) cell activity and mRNA expression in splenocytes lungs and livers were determined. To detect cytokine and receptor expression, splenocytes were treated with 5 ㎍/ml concanavalin A or 1 ㎍/ml lipopolysaccharide. The B.W. and spleen index were significantly increased and NK cell activity was slightly enhanced in all the experimental groups compared to the CCP-only group. In splenocytes, the gene expression levels of tumor necrosis factor-α, interferon-γ, interleukin (IL)-10, IL-6, and IL-12 receptor were increased in the E. gracilis and β-glucan groups compared to the CCP-only group, but there was no significant difference. Treatment with 500 mg of Euglena/kg B.W. significantly upregulated dectin-1 mRNA expression in the lung and liver compared to the CCP-only group. These results suggest that Euglena may enhance the immune system by strengthening innate immunity through immunosuppression.

Discrimination and Detection of Erwinia amylovora and Erwinia pyrifoliae with a Single Primer Set

  • Ham, Hyeonheui;Kim, Kyongnim;Yang, Suin;Kong, Hyun Gi;Lee, Mi-Hyun;Jin, Yong Ju;Park, Dong Suk
    • The Plant Pathology Journal
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    • 제38권3호
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    • pp.194-202
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    • 2022
  • Erwinia amylovora and Erwinia pyrifoliae cause fire blight and black-shoot blight, respectively, in apples and pears. E. pyrifoliae is less pathogenic and has a narrower host range than that of E. amylovora. Fire blight and black-shoot blight exhibit similar symptoms, making it difficult to distinguish one bacterial disease from the other. Molecular tools that differentiate fire blight from black-shoot blight could guide in the implementation of appropriate management strategies to control both diseases. In this study, a primer set was developed to detect and distinguish E. amylovora from E. pyrifoliae by conventional polymerase chain reaction (PCR). The primers produced amplicons of different sizes that were specific to each bacterial species. PCR products from E. amylovora and E. pyrifoliae cells at concentrations of 104 cfu/ml and 107 cfu/ml, respectively, were amplified, which demonstrated sufficient primer detection sensitivity. This primer set provides a simple molecular tool to distinguish between two types of bacterial diseases with similar symptoms.

한국어 언어 모델을 활용한 보이스피싱 탐지 기능 개선 (Exploiting Korean Language Model to Improve Korean Voice Phishing Detection)

  • ;박동주
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제11권10호
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    • pp.437-446
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    • 2022
  • 보이스피싱 통화 내용을 탐지하고 분류하는데 핵심 엔진으로 최신 머신러닝(ML) 및 딥러닝(DL) 알고리즘과 결합된 자연어 처리(NLP)의 텍스트 분류 작업이 널리 사용된다. 비대면 금융거래의 증가와 더불어 보이스피싱 통화 내용 분류에 대한 많은 연구가 진행되고 양호한 성과를 보이고 있지만, 최신 NLP 기술을 활용한 성능 개선의 필요성이 여전히 존재한다. 본 논문은 KorCCVi라는 레이블이 지정된 한국 보이스 피싱 데이터의 텍스트 분류를 기반으로 여러 다른 최신 알고리즘과 비교하여 사전 훈련된 한국어 모델 KoBERT의 한국 보이스 피싱 탐지 성능을 벤치마킹한다. 실험 결과에 따르면 KoBERT 모델의 테스트 집합에서 분류 정확도가 99.60%로 다른 모든 모델의 성능을 능가한다.