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  • Shortest-paths  (1)
  • cadmium sulfide  (1)
  • Springer  (2)
  • American Chemical Society (ACS)
  • 1
    Electronic Resource
    Electronic Resource
    Thermochemical Passivation of DNA-Stabilized Q-Cadmium Sulfide Nanoparticles (2000)
    Springer
    Journal of cluster science 11 (2000), S. 359-372 
    Details
    ISSN: 1572-8862
    Keywords: cadmium sulfide ; quantum dots ; DNA stabilized
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics
    Notes: Abstract In this work, the conditions required to transform quantum-confined cadmium sulfide (Q-CdS) nanoparticles stabilized by calf thymus deoxyribonucleic acid from deep trap photoluminescent states to “band edge”-type luminescence are probed. The presence of fivefold excess sulfide relative to cadmium concentration during cluster synthesis, followed by mild heating at 80°C, results in the desired transformation of the Q-CdS emission spectrum. We also indirectly analyze the accompanying structural changes in the polymeric stabilizer, accomplished in this case by use of well-known spectrofluorometric methods with the dyes ethidium bromide and trisphenanthroline ruthenium(II).
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1009049823345
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  • 2
    Electronic Resource
    Electronic Resource
    The one-to-one shortest-path problem: An empirical analysis with the two-tree Dijkstra algorithm (1993)
    Springer
    Computational optimization and applications 2 (1993), S. 47-75 
    Details
    ISSN: 1573-2894
    Keywords: Shortest-paths ; parallel algorithms
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Four new shortest-path algorithms, two sequential and two parallel, for the source-to-sink shortest-path problem are presented and empirically compared with five algorithms previously discussed in the literature. The new algorithm, S22, combines the highly effective data structure of the S2 algorithm of Dial et al., with the idea of simultaneously building shortest-path trees from both source and sink nodes, and was found to be the fastest sequential shortest-path algorithm. The new parallel algorithm, PS22, is based on S22 and is the best of the parallel algorithms. We also present results for three new S22-type shortest-path heuristics. These heuristics find very good (often optimal) paths much faster than the best shortest-path algorithm.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01299142
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