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Träfflista för sökning "WFRF:(Mourelatos Zissimos) srt2:(2004)"

Sökning: WFRF:(Mourelatos Zissimos) > (2004)

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1.
  • Hillier, Ladeana W, et al. (författare)
  • Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution
  • 2004
  • Ingår i: Nature. - 0028-0836 .- 1476-4687. ; 432:7018, s. 695-716
  • Tidskriftsartikel (refereegranskat)abstract
    • We present here a draft genome sequence of the red jungle fowl, Gallus gallus. Because the chicken is a modern descendant of the dinosaurs and the first non-mammalian amniote to have its genome sequenced, the draft sequence of its genome--composed of approximately one billion base pairs of sequence and an estimated 20,000-23,000 genes--provides a new perspective on vertebrate genome evolution, while also improving the annotation of mammalian genomes. For example, the evolutionary distance between chicken and human provides high specificity in detecting functional elements, both non-coding and coding. Notably, many conserved non-coding sequences are far from genes and cannot be assigned to defined functional classes. In coding regions the evolutionary dynamics of protein domains and orthologous groups illustrate processes that distinguish the lineages leading to birds and mammals. The distinctive properties of avian microchromosomes, together with the inferred patterns of conserved synteny, provide additional insights into vertebrate chromosome architecture.
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2.
  • Kokkolaras, Michael, et al. (författare)
  • Design optimization of hierarchically decomposed multilevel systems under uncertainty
  • 2004
  • Ingår i: Proceedings of the ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference - 2004. - New York : American Society of Mechanical Engineers. - 0791846946 ; , s. 613-625
  • Konferensbidrag (refereegranskat)abstract
    • This paper presents a methodology for design optimization of decomposed systems in the presence of uncertainties. We extend the analytical target cascading (ATC) formulation to probabilistic design by treating stochastic quantities as random variables and parameters and posing reliability-based design constraints. We model the propagation of uncertainty throughout the multilevel hierarchy of elements that comprise the decomposed system by using the advanced mean value (AMV) method to generate the required probability distributions of nonlinear responses. We utilize appropriate metamodeling techniques for simulation-based design problems. A simple yet illustrative hierarchical bi-level engine design problem is used to demonstrate the proposed methodology.
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