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It should be noted that Eq. (1) does not model changes of the scale factors due to steps or temperature variations.
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In contrast, the later stages offer very slow changes on the scale of minutes to hours.
But companies that can remake themselves to survive changes on the scale of what Kodak confronts are rare indeed.
What would it take to bring these kinds of changes to the scale of the whole system?
But for the Raspberry Pi team success does not necessarily require change on the scale of the home computing revolution.
The impacts of polymers on the morphological changes of the scales were examined extensively.
Note the change of the scale indicated by the dashed line.
If the return to scale (RTS) is constant, RTS equal to one, change of the scale has no effect on productivity.
We believe that this is mainly caused by a significant change of the temperature-dependent bias because a change of the scale factor by a factor of three is very unlikely according to the discussion in "Steps" section.
Also, this study did not attempt to test study responsiveness (i.e., sensitivity to change) of the scale.
Furthermore, for the responsiveness to change of the scale the effect size (ES) and the standardized response mean (SRM) will be presented.
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