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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Archives of environmental contamination and toxicology 39 (2000), S. 13-19 
    ISSN: 1432-0703
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Medicine
    Notes: Abstract Concentrations of organotins (OTs) were measured in the muscle of 11 species of fishes from the Port of Osaka and Yodo River, Japan. Tributytin (TBT) and triphenyltin (TPT) compounds were detected in the range of 0.011–0.182 mg/kg wet weight and 〈 0.001–0.130 mg/kg wet weight, respectively. Concentrations of TBT were higher than those of TPT in the muscle of fish. Concentrations of OTs in fish from sea areas were higher than those from rivers, and the ratios of TBT to total butyltins (BTs) in fish from sea areas were also higher than those from rivers. A similar trend was found for TPT. Logarithm of bioconcentration factor (BCF) of TBT in fish was in the range of 2.7–3.9. No sex differences in TBT and TPT concentrations in Japanese sea perch were observed, and the concentrations of TBT and TPT were not related to total length of fish. No correlation was also observed between the concentration of TBT or TPT and lipid content. The concentrations of BTs and phenyltins (PTs) in organs and tissues of three fish species were determined. TBT was higher concentration in liver, brain, and muscle of white croaker and yellowtail. The ratios of TBT to the total BTs were 30–40%, and the ratios of TPT to total PTs in these fishes were greater than 50% of the total PT concentrations.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of optimization theory and applications 106 (2000), S. 357-372 
    ISSN: 1573-2878
    Keywords: nonlinear proximal decomposition method ; Bregman functions ; convex programming
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract In this paper, we propose a new decomposition method for solving convex programming problems with separable structure. The proposed method is based on the decomposition method proposed by Chen and Teboulle and the nonlinear proximal point algorithm using the Bregman function. An advantage of the proposed method is that, by a suitable choice of the Bregman function, each subproblem becomes essentially the unconstrained minimization of a finite-valued convex function. Under appropriate assumptions, the method is globally convergent to a solution of the problem.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Journal of radioanalytical and nuclear chemistry 244 (2000), S. 55-59 
    ISSN: 1588-2780
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology , Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract Marine invertebrates are well known to accumulate trace metals from seawater, plankton, sea plants, and sediments. To test the usefulness of such organisms as a bio-indicator of environmental conditions, we have determined levels of trace elements in tissue of twelve species of marine invertebrates by photon and neutron activation analysis. Relatively higher concentration of elements were observed for Ni and Sn in mid-gut gland, for Cu and Zn in oyster tissues, for Se in swimming crabs, for Cu, Fe, and Se in gills of swimming crabs. Our results indicate that mid-gut gland of ear-shell will be useful as the indicator of environmental conditions.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Journal of optimization theory and applications 104 (2000), S. 539-558 
    ISSN: 1573-2878
    Keywords: nonsmooth convex optimization ; Moreau–Yosida regularization ; strong convexity ; inexact function and gradient evaluations ; BFGS method
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract We propose an implementable BFGS method for solving a nonsmooth convex optimization problem by converting the original objective function into a once continuously differentiable function by way of the Moreau–Yosida regularization. The proposed method makes use of approximate function and gradient values of the Moreau-Yosida regularization instead of the corresponding exact values. We prove the global convergence of the proposed method under the assumption of strong convexity of the objective function.
    Type of Medium: Electronic Resource
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