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While this problem has been reviewed for fish and other aquatic fauna in North America (Perry et al. 2002), it has received far less attention for fish in Europe, and for terrestrial organisms in general (see however Muñoz-Fuentes et al. 2007).
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Different ways to tackle such a problem have been reviewed in the field of machine learning [11, 12].
This problem has been extensively reviewed as to the advantages and disadvantages of each method [ 48, 49].
This has been reviewed elsewhere.
The literature addressing the problems of normalization has been reviewed [ 1, 2], with the consensus conclusion that there is no single best way to normalize array data and that specific solutions were required for the particularities of each array.
The application of evolutionary or population genetic approaches to problems in ecotoxicology has been reviewed in several articles (Belfiore and Anderson 2001; Bickham et al. 2000; Bickham and Smolen 1994; Hebert and Luiker 1996; Van Straalen and Timmermans 2002).
To seek general-purpose numerical schemes for hyperbolic problems, the ADER approach has been reviewed on the state-series expansion forms and the direct expansion forms in the viewpoint of the numerical procedure and the accuracy, and the advantages and disadvantages of the latter forms have been discussed.
The rest of the paper has been organized as follows: in next section, the related literature has been reviewed, whilst the problem has been defined and the selected case has been presented in the 'Case problem statement' section.
Available literature has been reviewed to highlight the problem, including its malignancies.
This problem has been pondered before.
Several computational approaches for this problem have been developed over the last three decades (for a recent review see [ 12]).
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