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Screening from the Genome Databases: Novel Epoxide Hydrolase from Caulobacter crescentus

  • HWANG SEUNGHA;HYUN HYEJIN;LEE BYOUNGJU;PARK YOUNGSEUB;CHOI CHAYONG;HAN JIN;JOO HYUN
    • Journal of Microbiology and Biotechnology
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    • v.16 no.1
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    • pp.32-36
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    • 2006

  • The genome sequences from several microbes have led to the discovery of numerous open reading frames of unknown functionality. The putative bacterial epoxide hydrolase (EH) genes selected from the genome databases were examined for their activities toward various epoxides. Among the nine open reading frames (ORFs) from four microbial species, the ORF from Caulobacter crescentus showed an epoxide hydrolase activity. The kinetic resolution, using C. crescentus EH (CCEH) of the aryl epoxides such as styrene oxide, could be performed more efficiently than short aliphatic epoxides. The resolution of racemic indene oxide, which could previously be resolved only by fungal epoxide hydrolases, was effectively accomplished by CCEH.

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Can We Estimate the LAP, RAP, PAP, AoP and CO from the Interventricular Pressure and Motor Current in a Moving- Actuator type Total Artificial Heart? Yes, We Can

  • Om, K.S.;Ahn, J.M.;Park, S.K.;Jo, Y.H.;Choi, W.W.;Choi, J.S.;Kim, H.C.;Min, B.G.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.05
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    • pp.59-63
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    • 1997

  • It is needless to say that the hemodynamic variables estimation is a very important study for the artificial heart. Even though its importance there have not been satisfactory results which can be applied to the real-world situations. This paper surveys and recommends how to cope with the problem of hemodynamic variable estimation for the moving-actuator type total artificial heart (MA-TAH).

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Implementation of the Wearable Sensor Glove Using EDA Sensor and Conducting Fabric

  • Lee, Young-Bum;Lee, Byung-Woo;Choo, Young-Min;Kim, Jin-Kwon;Jung, Wan-Jin;Kang, Dae-Hoon;Lee, Myoung-Ho
    • Journal of Biomedical Engineering Research
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    • v.28 no.2
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    • pp.280-286
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    • 2007

  • The wearable sensor glove was developed using EDA sensors and conducting fabric. EDA(Electro-dermal Activity) signal is an electric response of human skin. There are SIL(Skin Impedance Level) and SIR(Skin Impedance Response) in EDA. SIL consists mostly of a DC component while SIR consists of an AC component. The relationship between drowsiness and the EDA signal is utilized. EDA sensors were made using a conducting fabric instead of AgCl electrodes, for a more suitable, more wearable device. The EDA signal acquisition module was made by connecting the EDA sensor gloves through conductive fabric lines. Also, the EDA signal acquisition module can be connected to a PC that shows the results of the EDA signal processing analysis and gives proper feedback to the user. This system can be used in various applications to detect drowsiness and prevent accidents from drowsiness for automobile drivers.

  • https://doi.org/10.9718/JBER.2007.28.2.280 인용 PDF KSCI