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Consider musculoskeletal adaptation in space.
This eco-evolutionary model incorporates several ecological and population genetic factors, such as bacterial migration and DNA diffusion, that govern the rate of both population expansion and adaptation in space.
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Five factors – 'informality over formality'sharedred action space'be'be flexible'keepeep the action moving' and 'put the relationship central' – were identified to facilitate reflexivity and adaptation in this space.
In this work, we will further extend the moving mesh methods based on harmonic maps to deal with mesh adaptation in three space dimensions.
Thus, the Bayesian framework is compatible with a dissociation between hysteresis and adaptation in neural space: One network computes the prior, whereas another, sensory network changes the likelihood function.
Distinguishing the two scenarios ('local adaptation' and 'hitchhiking in space' [ 29]) is not unnecessary subtlety, it has important consequences on our appreciation of the cost paid by species to adapt to local environmental variation.
Different components of such grazing strategies are expected to allow for adaptation to environmental heterogeneities in space and time.
Gene expression profiles have been analyzed to understand the stress level and adaptation challenges in plants grown in space.
One well-known interaction is the interplay between gene flow and adaptation when the environment changes both in space and in time (Polechová et al. 2009).
Our results agree thus with theoretical [ 30, 58] and empirical [ 62] studies implying that host-parasite adaptation may not be positively correlated in space and time.
Third, the co-adaptation equilibrium is actually a 'curve' in space (Figure 3A) with many equilibria, including non-soliciting offspring and insensitive parents.
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