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The observed shifts may be explained by the impact of alternations in environmental conditions on the relative fitness of taxa.
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Numerical models are often used to evaluate the potential impact of human alternation of natural water bodies and to help the design of the alternation to mitigate its impacts.
As the reported growth information of C. hydrogenoformans on pyruvate was only qualitative, the objective of this study was to quantitatively assess its growth and activity kinetics on pyruvate and elucidate a potential impact of substrate alternation on both activities and products formation.
The maximum number of alternations was thus the total number of arms entered minus two, and the percentage of alternations was calculated as (actual alternations/maximum alternations) ×100.
Although the classic Levin approach to alternations mostly eschews discussion of alternations involving nouns, there is ample evidence that nouns do participate in alternations.
Levin (1993) [1] identified fifty major classes of alternations.
Table 10 shows the distribution of alternations for occurrence.
The percentage alternation was then calculated as the number of actual alternations divided by the maximum number of alternations (the total number of arm entries minus two).
Percentage spontaneous alternation was calculated according to following formula: [(number of alternations)/ total number of arm entries – 2)]* 100.
Numerical models are often used to evaluate the potential impact of human alteration of natural water bodies and to help the design the alternation to mitigate its impacts.
The impact of fornix and anterior thalamic nuclei lesions appear very similar for T-maze alternation [8,12,84,85,87], for an automated delayed nonmatching-to-position task [6], and for complex item-position discriminations with high ambiguity [27].
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