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Two social mobility variables were created from current and childhood financial situation and housing tenure.
An interaction hypothesis can be encoded by combining critical period and mobility variables.
Two simple mobility variables can, together, encode a more complex mobility hypothesis.
In model 2 (non-logged dependent variable) the choice and mobility variables were included.
Finally, neither physical fitness nor executive functions mediated the effects of training type on functional mobility variables.
Regarding the functional mobility variables, a main time effect was observed for all, while no time by training interaction was found.
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The electricity uses are evolving: positive energy buildings, electric mobility, variable intensity urban lighting, storage batteries, etc.
There was a moderate positive correlation with the variables "self-reliance" (r = 0.66), "common activities" (r = 0.58), and "pain/discomfort" (r = 0.49), and a weaker correlation with the "mobility" variable (r = 0.20).
We implement a simpler version of a crystal plasticity model for body-centered cubic (bcc) Fe used by Barton et al. (2013) that incorporates the role of latent hardening into the mobility variable in (9).
The total SPADI scores were shown to have a significant relationship with each of the five EQ-5D variables: a moderate positive correlation with the variables "self-reliance" (r = 0.66), "common activities" (r = 0.58), and "pain/discomfort" (r = 0.49), and a weak correlation with the "mobility" variable (r = 0.20).
The mobility variable was coded to binary variable (no move/move)(Tables 2 & 3).
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