Exact(9)
The electricity uses are evolving: positive energy buildings, electric mobility, variable intensity urban lighting, storage batteries, etc.
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).
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).
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).
Households were then aggregated to sublocations (n = 89) where the mean mobility variable and travel time to a health facility were calculated.
Similar(51)
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.
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.
Ethnic diversity and area mobility variables were transformed to correct for skewed distributions: [log10 ethnic diversity+6); log10(area mobility+1)].
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