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  • 1
    Electronic Resource
    Electronic Resource
    Isolation of a novel rod shaped methanogen growing on methanol and 2-propanol (1991)
    Springer
    Archives of microbiology 155 (1991), S. 402-408 
    Details
    ISSN: 1432-072X
    Keywords: Archaebacteria ; Methanogen (methanol utilizing, 2-propanol utilizing) ; Cytochromes
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract A methanogen utilizing methanol was isolated from a reactor anaerobically degrading leaves of Leucaena leucocephala. The cells are rods of length 2.2 μm with diameter 0.46 μm also occurring in short chains. The cells stain gram-positive and the G+C content is 52.8 mol%. Growth occurred optimally with methanol (0.1 M) at 37°C and pH 7.4 with a doubling time of 7.5 h. The preferred sulfur source was glutathione. In addition to methanol, the isolate utilized 2-propanol as carbon and hydrogen source and also grew effectively on H2+CO2. Electron microscopy revealed the cell enveloped in triple layers consisting of a cell membrane and a cell wall separated by an electron transparent space with the nuclear zone at the centre of the cytoplasm. Presence of cytochromes was evident in the membrane fractions. The isolate possesses novel features.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00243462
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Automatic de-noising of knee-joint vibration signals using adaptive time-frequency representations (2000)
    Springer
    Medical & biological engineering & computing 38 (2000), S. 2-8 
    Details
    ISSN: 1741-0444
    Keywords: De-noising ; Time-frequency distributions ; Matching pursuit ; Knee-joint sounds ; Vibro-arthrography
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Notes: Abstract A novel de-noising method for improving the signal-to-noise ratio of knee-joint vibration signals (also known as vibro-arthrographic (VAG) signals) is proposed. The de-noising methods considered are based on signal decomposition techniques, such as wavelets, wavelet packets and the matching pursuit (MP) method. Performance evaluation with synthetic signals simulated with the characteristics expected of VAG signals indicates good de-noising results with the MP method. Statistical pattern classification of non-stationary signal features extracted from time-frequency distributions of 37 (19 normal and 18 abnormal) MP method-de-noised VAG signals shows a sensitivity of 83.3%, a specificity of 84.2% and an overall accuracy of 83.8%.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02344681
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
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