• Title/Summary/Keyword: RNU

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Identification of Lactic Acid Bacteria from Meat by Low Molecular Weight(LMW) RNA Profiles (Low Molecular Weight(LMW) RNA Profiles에 의한 젖산균의 동정)

  • Cha, Woen-Suep
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.21 no.6
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    • pp.681-685
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    • 1992
  • Low molecular weight RNA(LMW RNA : 5S rRNA and tRNAs, <150 nucleotides) profiles of several bacteriocin production lactic acid bacteria from pig meats and reference lactic acid bacteria were generated on 10% denaturing polyacrylamide gel electrophoresis. Data evaluation including three molecular weight markers enabled the calculation of relative nucleotide units(RNU) for every band. Gels profiles and RNU evaluations were effective for identification of lactic acid bacteria species. LMW RNA profiles of lactic acid bacteria showed no variation in dependence on APT(All Purpose Tryptone Broth), TSB(Tryptic Soy Broth), MRS(Lactobacilli MRS Broth) different cultural medium.

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Improvement Residual Non-uniformity in Thermal Imaging System Using Correlated Double Sample Signal Processing (상관이중표본화 신호처리를 이용한 적외선 열상시스템의 잔여불균일성 개선)

  • Suk, Jung-Youp;Jang, Sung-Kun;Kim, Sung-Un;Yeou, Bo-Yeoun
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.1043-1044
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    • 2008
  • In this study, a novel algorithm of the improvement residual non-uniformity (RNU) in thermal imaging system is proposed using correlated double sample signal processing. The proposed method attempts to eliminate offset variation of ROIC in IR detector causing the variation of FPA (focal plane array) temperature and suppling power. Experimental results show that the proposed method confirmed a better performance than the existing RNU system.

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New Non-uniformity Correction Approach for Infrared Focal Plane Arrays Imaging

  • Qu, Hui-Ming;Gong, Jing-Tan;Huang, Yuan;Chen, Qian
    • Journal of the Optical Society of Korea
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    • v.17 no.2
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    • pp.213-218
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    • 2013
  • Although infrared focal plane array (IRFPA) detectors have been commonly used, non-uniformity correction (NUC) remains an important problem in the infrared imaging realm. Non-uniformity severely degrades image quality and affects radiometric accuracy in infrared imaging applications. Residual non-uniformity (RNU) significantly affects the detection range of infrared surveillance and reconnaissance systems. More effort should be exerted to improve IRFPA uniformity. A novel NUC method that considers the surrounding temperature variation compensation is proposed based on the binary nonlinear non-uniformity theory model. The implementing procedure is described in detail. This approach simultaneously corrects response nonlinearity and compensates for the influence of surrounding temperature shift. Both qualitative evaluation and quantitative test comparison are performed among several correction technologies. The experimental result shows that the residual non-uniformity, which is corrected by the proposed method, is steady at approximately 0.02 percentage points within the target temperature range of 283 K to 373 K. Real-time imaging shows that the proposed method improves image quality better than traditional techniques.

Non Uniformity Error of MSC (Multi Spectral Camera) System

  • Jang YoungJun;Yong SangSoon;Kang KeumSil;Kim JungAh;Kang SungDuk;Youn HeongSik
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.432-435
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    • 2004
  • MSC (Multi Spectral Camera) system is a remote sensing payload to obtain high resolution ground image. In this application, uniformity characteristic is important as well as GSD (Ground Resolved Distance) and SNR (Signal to Noise Ratio). MSC image chain is consisted of OM (Optical Module), CCD, Video processor, NUC and DCSU (Data Compression and Storage Unit). Each block makes and corrects MSC's nonuniformity response. This paper shows the cause of nonuniformity error and the correction scheme of MSC system from the electronic point of view.

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Down Regulation of miR-34a and miR-143 May Indirectly Inhibit p53 in Oral Squamous Cell Carcinoma: a Pilot Study

  • Manikandan, Mayakannan;Rao, Arunagiri Kuha Deva Magendhra;Arunkumar, Ganesan;Rajkumar, Kottayasamy Seenivasagam;Rajaraman, Ramamurthy;Munirajan, Arasambattu Kannan
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.17
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    • pp.7619-7625
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    • 2015
  • Background: Aberrant microRNA expression has been associated with the pathogenesis of a variety of human malignancies including oral squamous cell carcinoma (SCC). In this study, we examined primary oral SCCs for the expression of 6 candidate miRNAs, of which five (miR-34a, miR-143, miR-373, miR-380-5p, and miR-504) regulate the tumor suppressor TP53 and one (miR-99a) is involved in AKT/mTOR signaling. Materials and Methods: Tumor tissues (punch biopsies) were collected from 52 oral cancer patients and as a control, 8 independent adjacent normal tissue samples were also obtained. After RNA isolation, we assessed the mature miRNA levels of the 6 selected candidates against RNU44 and RNU48 as endogenous controls, using specific TaqMan miRNA assays. Results: miR-34a, miR-99a, miR-143 and miR-380-5p were significantly down-regulated in tumors compared to controls. Moreover, high levels of miR-34a were associated with alcohol consumption while those of miR-99a and miR-143 were associated with advanced tumor size. No significant difference was observed in the levels of miR-504 between the tumors and controls whereas miR-373 was below the detection level in all but two tumor samples. Conclusions: Low levels of miR-380-5p and miR-504 that directly target the 3'UTR of TP53 suggest that p53 may not be repressed by these two miRNAs in OSCC. On the other hand, low levels of miR-34a or miR-143 may relieve MDM4 and SIRT1 or MDM2 respectively, which will sequester p53 indicating an indirect mode of p53 suppression in oral tumors.