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Sökning: WFRF:(Johansson Mikael) > (2005-2009) > (2005)

  • Resultat 61-62 av 62
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61.
  • Wallner, Fredrik K., et al. (författare)
  • Solid-phase synthesis of serine-based glycosphingolipid analogues for preparation of glycoconjugate arrays
  • 2005
  • Ingår i: Organic and biomolecular chemistry. - London : Royal Society of Chemistry. - 1477-0520 .- 1477-0539. ; 3:2, s. 309-315
  • Tidskriftsartikel (refereegranskat)abstract
    • Synthetic glycolipids with defined structures are important tools in the study of glycolipid biology. In this paper we describe a solid-phase synthesis of three galactosylated serine-based glycosphingolipid analogues using the novel linker 2-fluoro-4-(hydroxymethyl)-phenoxyacetic acid. Gel-phase 19F-NMR spectroscopy was used to measure the yield and stereochemical outcome of the solid-phase glycosylations. Under NIS–TfOH promotion, α- and β-selective glycosylations were performed at room temperature with thioglycoside donors carrying fluorine labelled protective groups. Finally, the glycolipids were covalently linked to microtiter plates and labelled lectins with different selectivity for α- and β-galactosides could bind to the glycolipid arrays.
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62.
  • Xiao, L., et al. (författare)
  • Joint optimization of wireless communication and networked control systems
  • 2005
  • Ingår i: SWITCHING AND LEARNING IN FEEDBACK SYSTEMS. - Berlin, Heidelberg : Springer Berlin Heidelberg. ; , s. 248-272
  • Konferensbidrag (refereegranskat)abstract
    • We consider a linear system, such as an estimator or a controller, in which several signals are transmitted over wireless communication channels. With the coding and medium access schemes of the communication system fixed, the achievable bit rates axe determined by the allocation of communications resources such as transmit powers and bandwidths, to different channels. Assuming conventional uniform quantization and a standard white-noise model for quantization errors, we consider two specific problems. In the first, we assume that the linear system is fixed and address the problem of allocating communication resources to optimize system performance. We observe that this problem is often convex (at least, when we ignore the constraint that individual quantizers have an integral number of bits), hence readily solved. We describe a dual decomposition method for solving these problems that exploits the problem structure. We briefly describe how the integer bit constraints can be handled, and give a bound on how suboptimal these heuristics can be. The second problem we consider is that of jointly allocating communication resources and designing the linear system in order to optimize system performance. This problem is in general not convex. We present an iterative heuristic method based on alternating convex optimization over subsets of variables, which appeaxs to work well in practice.
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