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Dimensional analysis was used to define scaling variables and universal functions.
In practice, optimization of scaling variables is always enacted within a specific modular platform; and meanwhile an optimal module configuration depends on how design parameters are to be scaled.
In the first stage, each product is optimized independently via NICA-II and the product platform constant parameter and its value is obtained according to the change ratio of design variables; In the second stage, the scaling variables of each product are solved via NICA-II based on the optimization objectives improving the performance in constraint of restrictions.
Manipulation of sequence intervals was carried out with IRanges (Pages et al).. Principal component analysis (PCA) was performed using the R package prcomp (R Development Core Team 2012), on SNVs without scaling variables to avoid overcontribution of rare variants (McVean 2009).
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In the analyses, we use one z-standardized scaling variable to control for regional opportunity structures.
These findings suggest that only one scaling variable is necessary for such purposes.
Shareholder tax is mostly accounted for as a scaling variable which reduces the after-tax corporate profit distributed to shareholders.
This is in accordance with the generalized scaling variable defined by Shera (2007, [12], formula 5, p. 2740).
First, the scaling variable that we used as a proxy for opportunity structures is far from perfect.
The scaling variable that goes with it is ν ( x, f ) = f + CF 1 CF ( x ) + CF 1. (7).
The first dimension of the multidimensional scaling variable shows the best discrimination according to the proximities.
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