• Title/Summary/Keyword: spiA

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Virulence gene profiles and antimicrobial susceptibility of Salmonella Brancaster from chicken

  • Evie Khoo ;Roseliza Roslee ;Zunita Zakaria;Nur Indah Ahmad
    • Journal of Veterinary Science
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    • v.24 no.6
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    • pp.82.1-82.12
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    • 2023
  • Background: The current conventional serotyping based on antigen-antisera agglutination could not provide a better understanding of the potential pathogenicity of Salmonella enterica subsp. enterica serovar Brancaster. Surveillance data from Malaysian poultry farms indicated an increase in its presence over the years. Objective: This study aims to investigate the virulence determinants and antimicrobial resistance in S. Brancaster isolated from chickens in Malaysia. Methods: One hundred strains of archived S. Brancaster isolated from chicken cloacal swabs and raw chicken meat from 2017 to 2022 were studied. Two sets of multiplex polymerase chain reaction (PCR) were conducted to identify eight virulence genes associated with pathogenicity in Salmonella (invasion protein gene [invA], Salmonella invasion protein gene [sipB], Salmonella-induced filament gene [sifA], cytolethal-distending toxin B gene [cdtB], Salmonella iron transporter gene [sitC], Salmonella pathogenicity islands gene [spiA], Salmonella plasmid virulence gene [spvB], and inositol phosphate phosphatase gene [sopB]). Antimicrobial susceptibility assessment was conducted by disc diffusion method on nine selected antibiotics for the S. Brancaster isolates. S. Brancaster, with the phenotypic ACSSuT-resistance pattern (ampicillin, chloramphenicol, streptomycin, sulphonamides, and tetracycline), was subjected to PCR to detect the corresponding resistance gene(s). Results: Virulence genes detected in S. Brancaster in this study were invA, sitC, spiA, sipB, sopB, sifA, cdtB, and spvB. A total of 36 antibiogram patterns of S. Brancaster with a high level of multidrug resistance were observed, with ampicillin exhibiting the highest resistance. Over a third of the isolates displayed ACSSuT-resistance, and seven resistance genes (β-lactamase temoneira [blaTEM], florfenicol/chloramphenicol resistance gene [floR], streptomycin resistance gene [strA], aminoglycoside nucleotidyltransferase gene [ant(3")-Ia], sulfonamides resistance gene [sul-1, sul-2], and tetracycline resistance gene [tetA]) were detected. Conclusion: Multidrug-resistant S. Brancaster from chickens harbored an array of virulence-associated genes similar to other clinically significant and invasive non-typhoidal Salmonella serovars, placing it as another significant foodborne zoonosis.

Development of Water Supply Capacity Index to Monitor Droughts in a Reservoir (저수지 가뭄감시를 위한 물공급능력지수의 개발)

  • Lee, Dong-Ryul;Moon, Jang-Won;Lee, Dae-Hee;Ahn, Jae-Hyun
    • Journal of Korea Water Resources Association
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    • v.39 no.3 s.164
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    • pp.199-214
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    • 2006
  • The efficient management strategies of reservoirs in periods of drought event are an essential element for drought planning. A Water Supply Capacity Index (WSCI) has been developed for the evaluation and effective monitoring of the supply capacity of a reservoir during a drought event. The WSCI is a measure of the duration that a reservoir can supply a required demand under the worst drought condition. The WSCI is not only a useful standard to refer to when making decisions on reservoir operations in a period of drought, but it can be also applied for setting the drought trigger in water demand sites supplied from the reservoir. The correlation between the standardized WSCI and existing drought indices such as PDSI, SPI and SWSI has been analyzed to the applicability of WSCI.

Integrated Command System for Firefight Satety in Special Disaster Area (특수재난현장 진압대원의 안전을 위한 통합 지휘시스템에 관한 연구)

  • Roh, Tae-Ho
    • Fire Science and Engineering
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    • v.29 no.6
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    • pp.98-108
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    • 2015
  • An integrated command system is critical for the safety of firefighters and effective work in the headquarters of a special disaster areas such as natural disaster or large man-made hazard. The integrated command system requires environmental information such as temperature, humidity, and $CO_2$ levels, as well as personal physical information such as pulse and air respirator levels. An Analog to Digital Converter (ADC) chip converts sensed information into digital signals, and a Micro Controller Unit (MCU) transmits the digital signals to a transmission board using serial communication through a Serial Peripheral Interface (SPI). The digital signals are saved in a transmission board and transmitted to the integrated command system by a Radio Frequency (RF) unit. The location of fire-fighters in a building are determined using a gyro sensor and an inertial sensor. The collected information is applied to the integrated command system for firefighter safety and to ensure that they can effectively carry out their duties. Tthis study theoretically and experimentally investigated the technologies of RF transmission, indoor position, and an integrated command system that supports decision making using the transmitted information.

Smoke Hazard Assessment of Cypress Wood Coated with Boron/Silicon Sol Compounds (붕소/실리콘 졸 화합물로 도포된 편백 목재의 연기유해성 평가)

  • Jin, Eui;Chung, Yeong-Jin
    • Fire Science and Engineering
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    • v.34 no.1
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    • pp.1-10
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    • 2020
  • In this study, boron/silicon sol compounds were applied to wood for construction and durable materials, and fire risks were investigated in terms of smoke performance index (SPI), smoke growth index (SGI), and smoke intensity (SI). The compound was synthesized by reacting tetraethoxyorthosilicate with boric acid and boronic acid derivatives. Smoke characteristics were investigated using a cone calorimeter (ISO 5660-1) equipment for cypress wood. The fire intensity fixed the external heat flux at 50 kW/㎡. The smoke performance index measured after the combustion reaction increased between 13.4% and 126.7% compared with cypress wood. The fire risk due to the smoke performance index decreased in the order of cypress, phenylboronic acid/silicon sol (PBA/Si), (2-methylpropyl) boronic acid/silicon sol (IBBA/Si), boric acid/silicon sol (BA/Si). The smoke growth index decreased between 12.0% and 57.5% compared to the base specimen. The risk of fire caused by the smoke growth index decreased in the order of cypress, PBA/Si, IBBA/Si, BA/Si. The fire risk due to smoke intensity decreased between 3.2% and 57.8%, and in the order of cypress, PBA/Si, IBBA/Si, BA/Si. COpeak concentrations ranged between 85 and 93 ppm, and decreased between 37% and 43% compared to the base specimen. A comprehensive assessment of the fire risk on smoke hazards decreased in the order of cypress, PBA/Si, IBBA/Si, BA/Si.

Evaluation and Comparison of Meteorological Drought Index using Multi-satellite Based Precipitation Products in East Asia (다중 위성영상 기반 강우자료를 활용한 동아시아 지역의 기상학적 가뭄지수 비교 분석)

  • Mun, Young-Sik;Nam, Won-Ho;Kim, Taegon;Hong, Eun-Mi;Sur, Chanyang
    • Journal of The Korean Society of Agricultural Engineers
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    • v.62 no.1
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    • pp.83-93
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    • 2020
  • East Asia, which includes China, Japan, Korea, and Mongolia, is highly impacted by hydroclimate extremes such drought, flood, and typhoon recent year. In 2017, more than 18.5 million hectares of crops have been damaged in China, and Korea has suffered economic losses as a result of severe drought. Satellite-derived rainfall products are becoming more accurate as space and time resolution become increasingly higher, and provide an alternative means of estimating ground-based rainfall. In this study, we verified the availability of rainfall products by comparing widely used satellite images such as Climate Hazards Groups InfraRed Precipitation with Station (CHIRPS), Global Precipitation Climatology Centre (GPCC), and Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR) with ground stations in East Asia. Also, the satellite-based rainfall products were used to calculate the Standardized Precipitation Index (SPI). The temporal resolution is based on monthly images and compared with the past 30 years data from 1989 to 2018. The comparison between rainfall data based on each satellite image products and the data from weather station-based weather data was shown by the coefficient of determination and showed more than 0.9. Each satellite-based rainfall data was used for each grid and applied to East Asia and South Korea. As a result of SPI analysis, the RMSE values of CHIRPS were 0.57, 0.53 and 0.47, and the MAE values of 0.46, 0.43 and 0.37 were better than other satellite products. This satellite-derived rainfall estimates offers important advantages in terms of spatial coverage, timeliness and cost efficiency compared to analysis for drought assessment with ground stations.

PreSPI: Protein-Protein Interaction Prediction Service System (PreSPI: 단백질 상호작용 예측 서비스 시스템)

  • Han Dong-Soo;Kim Hong-Soog;Jang Woo-Hyuk;Lee Sung-Doke
    • Journal of KIISE:Computing Practices and Letters
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    • v.11 no.6
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    • pp.503-513
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    • 2005
  • With the recognition of the importance of computational approach for protein-protein interaction prediction, many techniques have been developed to computationally predict protein-protein interactions. However, few techniques are actually implemented and announced in service form for general users to readily access and use the techniques. In this paper, we design and implement a protein interaction prediction service system based on the domain combination based protein-protein interaction prediction technique, which is known to show superior accuracy to other conventional computational protein-protein interaction prediction methods. In the prediction accuracy test of the method, high sensitivity($77\%$) and specificity($95\%$) are achieved for test protein pairs containing common domains with teaming sets of proteins in a Yeast. The stability of the method is also manifested through the testing over DIP CORE, HMS-PCI, and TAP data. Performance, openness and flexibility are the major design goals and they are achieved by adopting parallel execution techniques, web Services standards, and layered architecture respectively. In this paper, several representative user interfaces of the system are also introduced with comprehensive usage guides.

Development and Application of Drought Index Based on Accumulative Pattern of Daily Rainfall (일 단위 강수량의 누적 패턴을 이용한 가뭄지수 개발 및 적용)

  • Kwon, Minsung;Park, Dong-Hyeok;Jun, Kyung Soo;Kim, Tae-Woong
    • Journal of Korea Water Resources Association
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    • v.49 no.1
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    • pp.41-49
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    • 2016
  • This study proposed a new drought index considering the accumulative pattern of daily rainfall, i.e., Rainfall Accumulation Drought Index (RADI). The RADI can be easily calculated at daily scale by comparing the long-term averaged cumulative rainfall to the observed cumulative rainfall for a specific duration. This study evaluated the availability of the RADI in the field of monitoring short-term and long-term droughts by investigating the spatial and temporal variability and the recurrence cycle of drought in South Korea. To present the short-term and long-term droughts, the various SPIs with different durations should be used in practice. However, the RADI can present and monitor both short-term and long-term droughts as a single index. By investigating the national average of the RADI, specific drought patterns of 20-year cycle were identified in this study. This study also proposed a five-level drought classification considering occurrence probability that would be a suitable alternative as a drought criterion for drought forecast/response.

Assessment of Climate Chanage Effect on Temperature and Drought in Seoul : Based on the AR4 SRES A2 Senario (기후변화가 서울지역의 기온 및 가뭄에 미치는 영향 평가 : AR4 SRES A2 시나리오를 기반으로)

  • Kyoung, Minsoo;Lee, Yongwon;Kim, Hungsoo;Kim, Byungsik
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.2B
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    • pp.181-191
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    • 2009
  • This study suggests the assessment technique for climate change effect on drought in Korea based on the AR4 SRES A2 scenario reported in IPCC fourth assessment report in 2007. IPCC provides monthly outputs of 24 climate models through the DDC. One of the models is BCM2 model which was developed at BCCR in Norway and NCEP data is used for downscaling. The K-NN(K-Nearest Neighbor) and ANN(Artificial Neural Network) are selected as downscaling technique to downscale the temperature and precipitation at Seoul station in Korea. K-NN could downscale both temperature and precipitation well. ANN made a good result for temperature, but it gave a divergence result in precipitation. Finally, SPI of Seoul station is computed to evaluate the effect of climate change on drought. BCM2 predicted that temperature will increase and drought severity will increase because of the increased drought spell at Seoul station.

A Study on Multi-AHRS-based MTL Device (다중 AHRS 기반의 MTL 디바이스에 관한 연구)

  • Kim, Dong-min;Lim, Ji-yong;Oh, Am-suk
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.540-541
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    • 2018
  • 본 논문에서는 체험형 VR 환경을 고려한 다중 AHRS 기반의 MTL 디바이스를 제안한다. 제안하는 MTL 디바이스는 신체부위에 복수개의 AHRS 디바이스를 부착하고 이를 기준으로 좌표계를 정의하여 9축 움직임 정보를 기반으로 사용자의 동작을 추정한다. 그리고 전송 효율 향상과 모션투포톤(MTP) 지연시간을 최소화하기 위해 SPI 인터페이스를 통해 유선으로 직접 연결하고, 자세정보를 취합하여 서버로 전송한다.

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A Low Power smartRF Transceiver Hardware Design For 2.4 GHz Applications

  • Kim, Jung-Won;Choi, Ung-Se
    • Journal of IKEEE
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    • v.12 no.2
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    • pp.75-80
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    • 2008
  • There are many researches to reduce power consumption of battery-operated Transceiver for 2.4 GHz smartRF applications. However, components such as processor, memory and LCD based power managements reach the limit of reducing power consumption. To overcome the limit, this research proposes novel low-power Transceiver and transceiver Hardware Design. Experimental results in the real smartRF Transceiver show that the proposed methods can reduce power consumption additionally than component based power managements.

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