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  • 2000-2004  (3)
  • 1
    Electronic Resource
    Electronic Resource
    [s.l.] : Macmillian Magazines Ltd.
    Nature 424 (2003), S. 1051-1054 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Prochlorococcus, the most abundant genus of photosynthetic organisms, owes its remarkably large depth distribution in the oceans to the occurrence of distinct genotypes adapted to either low- or high-light niches. The pcb genes, encoding the major chlorophyll-binding, light-harvesting antenna ...
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 413 (2001), S. 590-590 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] The oceanic picoplankton Prochlorococcus — probably the most abundant photosynthetic organism on our planet — can grow at great depths where light intensity is very low. We have found that the chlorophyll-binding proteins in a deep-living strain of this oxyphotobacterium form a ring ...
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1573-9686
    Keywords: Soft tissue modeling ; Predictive model ; Strain history ; Porcine
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine , Technology
    Notes: Abstract We investigated how preconditioning history and specimen recovery time affect the accuracy of measurements of mechanical properties obtained from sequential, repeated materials testing of porcine aortic valve (PAV) cusps. Strain history protocols were modeled by quasilinear viscoelastic theory and the results compared with the experimental data. Assuming that the model was predictive, the accuracy of predicting experimental data was related to the suitability of the materials testing protocol. We found that the preconditioned state of the PAV material was not unique but was a function of the deformation history that had occurred before the preconditioning cycles. Preconditioning without an adequate rest period between tests increased predictive errors, whereas allowing the material to rest without preconditioning reduced errors. Modeling more of the strain history reduced errors for specimens briefly rested between tests but had no impact on specimens with long rest periods. The smallest predictive errors were obtained for a loading protocol with a 24 h specimen recovery period followed by material preconditioning. We recommend the use of this protocol for estimating material properties of PAV tissues. © 2000 Biomedical Engineering Society. PAC00: 8719Rr, 8780-y
    Type of Medium: Electronic Resource
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