• 제목/요약/키워드: BioAPI

검색결과 61건 처리시간 0.021초

지렁이(Eisenia andrei)의 장으로부터 분리한 국내 미기록 야생효모들의 균학적 특성과 탄소원 활성 (Microbiological Characteristics and Carbon source activity of Unrecorded Wild Yeast Strains from gut of the earthworm(Eisenia andrei) in Korea)

  • 한주현;이상은;김명겸
    • 한국균학회지
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    • 제48권2호
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    • pp.161-167
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    • 2020
  • 국내에 자생하는 지렁이로(붉은줄지렁이)의 장에서 야생효모를 분리, 동정하고자 하였다. 지렁이는 고양시 난지 물 재생 센터에서 분양 받았으며, 지렁이 5마리에서 19개의 야생효모를 분리하였다. 효모의 D1/D2 영역으로 동정하여 국내에 보고되지 않은 효모 3균주를 선별하였다. 국내 미기록종 효모인 Yarrowia deformans YP242 (=KACC48778), Sporidiobolus pararoseus YP66(=KCTC27963), Naganishia liquefaciens YI9 (=KACC48948) 균주는 위상차현미경, API 20C AUX kit를 통해 균학적 특성을 조사하였다. YP242, YI9, YP66 균주의 세포 모양은 타원형이며, 집락은 볼록하고, 부드러운 재질을 가지는 것으로 관찰되었다. 탄소원 활성 측정 결과, YP242는 glycerol, L-arabinose, N-acetyl-D-glucosamine을, YP66는 N-acetyl-D-glucosamine을, liquefaciens YI9는 2-keto-D-gluconate을 탄소원으로 사용할 수 있음을 확인하였다.

Enabling a fast annotation process with the Table2Annotation tool

  • Larmande, Pierre;Jibril, Kazim Muhammed
    • Genomics & Informatics
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    • 제18권2호
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    • pp.19.1-19.6
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    • 2020
  • In semantic annotation, semantic concepts are linked to natural language. Semantic annotation helps in boosting the ability to search and access resources and can be used in information retrieval systems to augment the queries from the user. In the research described in this paper, we aimed to identify ontological concepts in scientific text contained in spreadsheets. We developed a tool that can handle various types of spreadsheets. Furthermore, we used the NCBO Annotator API provided by BioPortal to enhance the semantic annotation functionality to cover spreadsheet data. Table2Annotation has strengths in certain criteria such as speed, error handling, and complex concept matching.

침술후 발생한 Prevotella intermedia/nigrescens에 의한 종격동염 -치험1례- (Mediastinitis Caused by Prevotella Intermedia/Nigrescens Occurred after Acupuncture -A case report-)

  • 김수성;하경임
    • Journal of Chest Surgery
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    • 제33권5호
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    • pp.440-444
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    • 2000
  • A 54-year-old male patient was admitted due to dyspnea with chest pain and reddish swelling in the right lteral neck and right upper which developed 2 or 3 days age. He was treated with acupuncture in the neck about one week ago prior to admission. CT scans of the chest showed density of air and abnormal soft tissue which suggested abscess of the anterior mediastinum and subcutaneous tissue. He underwent cervical and mediastinal drainage with closed thoracostomy and antibiotic therapy. Black-pigmente anaerobic nonspore-forming gram-negative bacilli were isolated from the mediastinal pus and were identified as Prevotella intermedia/nigrescens upon performing biochemical tests and API rapid ID 32A (bioMeriux, France) kit. He underwent decortication of the right side because of loculated empyema on 41st postoperative day. He was fully recovered and discharged on the 82nd hospital day. This was thought to be another case of descending necrotizing mediastinitis not caused by peritonsilar abscess but by cellulitis developed after acupuncture. Early deterction of mediastinits and aggressive drainage of mediastinal abscess are important.

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Development of Smart Healthcare Scheduling Monitoring System for Elderly Health Care

  • Cho, Sooyong;Lee, Sang Hyun
    • International Journal of Internet, Broadcasting and Communication
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    • 제10권2호
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    • pp.51-59
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    • 2018
  • Health care has attracted a lot of attention, recently due to an increase in life expectancy and interest in health. Various biometric data of the user are collected by using the air pressure sensor, gyro sensor, acceleration sensor, and heart rate sensor to perform the Smart Health Care Activity Tracker function. Basically, smartphone application is made and tested for biometric data collection, but the Arduino platform and bio-signal measurement sensor are used to confirm the accuracy of the measured value of the smartphone. Use the Google Maps API to set user goals and provide guidance on the location of the user and the points the user wants. Also, the basic configuration of the main UI is composed of the screen of the camera, and it is possible for the user to confirm the forward while using the application, so that accident prevention is possible.

국내 양식 무지개송어(Oncorhynchus mykiss)에서 분리된 Photobacterium sp. YW2207의 특성 (Characterization of Photobacterium sp. YW2207 isolated from rainbow trout (Oncorhynchus mykiss) raised in a fresh water farm in South Korea)

  • 김현우;이은섭;이승준;김한을;한소라;오태진;김명석;김수진;권세련
    • 한국어병학회지
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    • 제36권2호
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    • pp.251-261
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    • 2023
  • Photobacterium sp. YW2207 was isolated from rainbow trout raised in a fish farm located in Yeongwol-gun, Gangwon Province, South Korea. Based on 16S rRNA sequence analysis and phylogenetic analysis, it was confirmed that Photobacterium sp. YW2207 showed 100% similarity with Photobacterium piscicola and Photobacterium phosphoreum, and 94.6% similarity with P. damselae subsp. damselae. Biochemical analysis revealed that Photobacterium sp. YW2207 is a Gram-negative, motile bacterium with a cell size of 1.5~3×3~5 ㎛. The bacteria were cultured on nutrient agar, brain heart infusion agar, Muller-Hinton agar, tryptic soy agar, and thiosulfate citrate bile sucrose agar with NaCl concentrations ranging from 0 to 2.5%. The API50CHE and API20E tests indicated lower utilization capabilities compared to the P. damselae strains provided in the API database. Furthermore, unlike most Photobacterium species, Photobacterium sp. YW2207 presented negative for catalase test. Results from the flow cytometric measurement indicated that Photobacterium sp. YW2207 exhibited a more diverse distribution of cell sizes and had larger cell sizes compared with P. damselae subsp. damselae. Minimum inhibitory concentration tests showed that Photobacterium sp. YW2207 had low susceptibility to β-Lactam and aminoglycoside antibiotics, while having high susceptibility to tetracycline, doxycycline, and quinolone antibiotics. Pathogenicity on rainbow trout revealed that an immersion of 1×105 CFU/ml did not cause mortality or clinical symptoms.

In-memory data grid 기술을 활용한 택시 애플리케이션 성능 향상 기법 연구 (Enhancing the performance of taxi application based on in-memory data grid technology)

  • 최치환;김진혁;박민규;권가은;정승현;프란코 나자레노;조완섭
    • Journal of the Korean Data and Information Science Society
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    • 제26권5호
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    • pp.1035-1045
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    • 2015
  • 최근 빅데이터 분야에서 데이터를 메모리에 적재 후 빠르게 처리하는 인메모리 컴퓨팅 기술이 새롭게 부각되고 있다. 인메모리 컴퓨팅 기술은 과거 대용량 메모리와 다중 프로세서를 탑재한 고성능서버에 적용 가능하였지만, 점차 일반 컴퓨터를 초고속 네트워크로 연결하여 분산 병렬처리가 가능한 구조로 변화하고 있다. 본 논문은 In-memory data grid (IMDG) 기술을 택시 애플리케이션에 접목하여 기존의 데이터베이스의 변경 없이 성능을 향상시키는 기법을 제안한다. IMDG 기술을 적용한 경우 기존의 데이터베이스 기반의 웹서비스에 비해 처리속도와 처리량이 평균 6~9배정도 증가하며, 또한 부하량에 따른 처리량 변화의 폭이 매우 작음을 확인 하였다.

Safety Evaluation of Bifidobacterium breve IDCC4401 Isolated from Infant Feces for Use as a Commercial Probiotic

  • Choi, In Young;Kim, Jinhee;Kim, Su-Hyeon;Ban, O-Hyun;Yang, Jungwoo;Park, Mi-Kyung
    • Journal of Microbiology and Biotechnology
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    • 제31권7호
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    • pp.949-955
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    • 2021
  • Previously, our research group isolated Bifidobacterium breve IDCC4401 from infant feces as a potential probiotic. For this study, we evaluated the safety of B. breve IDCC4401 using genomic and phenotypic analyses. Whole genome sequencing was performed to identify genomic characteristics and investigate the potential presence of genes encoding virulence, antibiotic resistance, and mobile genetic elements. Phenotypic analyses including antibiotic susceptibility, enzyme activity, production of biogenic amines (BAs), and proportion of D-/L-lactate were evaluated using E-test, API ZYM test, high-performance liquid chromatography (HPLC), and D-/L-lactic acid assay respectively. The genome of B. breve IDCC4401 consists of 2,426,499 bp with a GC content of 58.70% and 2,016 coding regions. Confirmation of the genome as B. breve was provided by its 98.93% similarity with B. breve DSM20213. Furthermore, B. breve IDCC4401 genes encoding virulence and antibiotic resistance were not identified. Although B. breve IDCC4401 showed antibiotic resistance against vancomycin, we confirmed that this was an intrinsic feature since the antibiotic resistance gene was not present. B. breve IDCC4401 showed leucine arylamidase, cystine arylamidase, α-galactosidase, β-galactosidase, and α-glucosidase activities, whereas it did not show production of harmful enzymes such as β-glucosidase and β-glucuronidase. In addition, B. breve IDCC4401 did not produce any tyramine, histamine, putrescine, cadaverine, or 2-phenethylamine, which are frequently detected BAs during fermentation. B. breve IDCC4401 produced 95.08% of L-lactate and 4.92% of D-lactate. Therefore, our findings demonstrate the safety of B. breve IDCC 4401 as a potential probiotic for use in the food industry.

김치에서 신규 Leuconostoc mesenteroides KACC 91495P 균주의 분리 및 이를 이용한 배 발효물의 제조 (Production of a Fermented Korean Pear Puree using a New Strain Leuconostoc mesenteroides KACC 91495P Isolated from Kimchi)

  • 인만진;김혜민;진혜진;김동청;오남순;채희정
    • Journal of Applied Biological Chemistry
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    • 제53권1호
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    • pp.51-55
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    • 2010
  • 김치에서로부터 배 파쇄물에서 생육과 산 생성이 우수한 유산균을 선발하였다. 선발된 균주는 Ln. mesenteroides로 동정되었으며, 국립농업과학원 농업유전자원센터에 KACC 91495P로 기탁하였다. KACC 91495P 균주를 배 파쇄물에 접종한 후 pH, 적정산도, 생균수의 변화를 경시적으로 분석하였다. 배양액의 pH는 배양 9시간 이후 pH 4.05로 급격히 감소한 후 배양 18시간에 pH 3.86까지 완만하게 감소하였다. 적정산도는 배양 초기부터 15시간까지 지속적으로 증가하여 1.09% 수준에서 평형을 이루었다. 생균수는 접종 후 9시간까지 급격히 증가하고 그 이후 완만하게 증가하여 배양 18시간에는 $2.9{\times}10^9\;CFU/g$까지 증가하였다. 유기산 농도는 배양시간에 비례하여 증가하여 18시간 배양 후 젖산이 0.213%, 초산이 0.259%, 사과산이 0.217%로 분석되었다. 또한 배 발효액의 총 폴리페놀 함량은 9시간 배양 후 $134\;{\mu}g$ tannic acid/mL에서 $185\;{\mu}g$ tannic acid/mL로 약 40% 증가하였으며 따라서 DPPH radical 소거활성도 향상되었다. 또한 $4^{\circ}C$에서 KACC 91495P 균주에 의한 배 발효물은 약 2주일의 저장기간 동안 pH, 적정산도, 총균수의 변화는 미미하였다.

Biochemical Characterization of a Novel Alkaline and Detergent Stable Protease from Aeromonas veronii OB3

  • Manni, Laila;Misbah, Asmae;Zouine, Nouhaila;Ananou, Samir
    • 한국미생물·생명공학회지
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    • 제48권3호
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    • pp.358-365
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    • 2020
  • An organic solvent- and bleach-stable protease-producing strain was isolated from a polluted river water sample and identified as Aeromonas veronii OB3 on the basis of biochemical properties (API 20E) and 16S rRNA sequence analysis. The strain was found to hyper-produce alkaline protease when cultivated on fish waste powder-based medium (HVSP, 4080 U/ml). The biochemical properties and compatibility of OB3 with several detergents and additives were studied. Maximum activity was observed at pH 9.0 and 60℃. The crude protease displayed outstanding stability to the investigated surfactants and oxidants, such as Tween 80, Triton X-100, and H2O2, and almost 36% residual activity when incubated with 1% SDS. Remarkably, the enzyme demonstrated considerable compatibility with commercial detergents, retaining more than 100% of its activity with Ariel and Tide (1 h, 40℃). Moreover, washing performance of Tide significantly improved by the supplementation of small amounts of OB3 crude protease. These properties suggest the potential use of this alkaline protease as a bio-additive in the detergent industry and other biotechnological processes such as peptide synthesis.

iOS 플랫폼에서 Active Shape Model 개선을 통한 얼굴 특징 검출 (Improvement of Active Shape Model for Detecting Face Features in iOS Platform)

  • 이용환;김흥준
    • 반도체디스플레이기술학회지
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    • 제15권2호
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    • pp.61-65
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    • 2016
  • Facial feature detection is a fundamental function in the field of computer vision such as security, bio-metrics, 3D modeling, and face recognition. There are many algorithms for the function, active shape model is one of the most popular local texture models. This paper addresses issues related to face detection, and implements an efficient extraction algorithm for extracting the facial feature points to use on iOS platform. In this paper, we extend the original ASM algorithm to improve its performance by four modifications. First, to detect a face and to initialize the shape model, we apply a face detection API provided from iOS CoreImage framework. Second, we construct a weighted local structure model for landmarks to utilize the edge points of the face contour. Third, we build a modified model definition and fitting more landmarks than the classical ASM. And last, we extend and build two-dimensional profile model for detecting faces within input images. The proposed algorithm is evaluated on experimental test set containing over 500 face images, and found to successfully extract facial feature points, clearly outperforming the original ASM.