Sentence examples for nested complexities from inspiring English sources

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The life he recounts suggests nested complexities.

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We acknowledge financial support from the European Commission through the NEST-Complexity project EDEN (043251) and from MICINN (Spain) and FEDER through project FISICOS (FIS2007-60327).

Although here we found that cerebellar foliation is associated with manipulative skill, other processes involved in nest construction behaviour that are also supported by the cerebellum, such as motor sequencing and learning, may also explain the correlation between nest complexity and cerebellar foliation.

Eyes are not just single irreducible entities, but can be viewed as containing different levels of biological complexity nested in a hierarchical fashion (e.g., Serb and Oakley 2005).

The models formed a nested hierarchy of complexity for model testing, comparing the free ratio to two ratio and both to the one ratio (for cases where the two ratio was not supported but the free ratio was), with p-values calculated from a χ distribution.

The complexity of nested feedback control loops associated with complex biological systems creates many challenges to understanding biological systems.

We then describe a notion of observational equivalence, and present an example illustrating how we handle the complexity of nested prialts in default guards.

Count offers a series of nested models of increasing complexity.

A series of nested models of increasing complexity was fitted, in order to dissect the effects of sex, parent and genotype on weight.

We used a series of nested models of increasing complexity ranging from the simplistic pure neutrality (f = 1, α = 0) to models incorporating a variable intensity of positive or purifying selection (f and α are allowed to vary according to each gene category).

Importantly, when we compared a series of nested models of increasing complexity, the single largest improvement came in moving from a genome-wide model to a gene-specific model, suggesting that this approach, tailored for each gene and syndrome, is more powerful than genome-wide approaches, as has been suggested previously [ 12, 13].

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