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The manuscript describes and compares data sets and normalizing procedures for these variables, in order to choose a suitable set that facilitates the interpretation of the deformation, as well as the comparison between the outputs of different die designs.
Normalizing procedures are performed on all positive selection scores before any data analysis takes place.
Subsequent normalizing procedures were performed as described [Takeuchi et al., 2011c] using the b = 0 image from the pre-training scan.
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Upper and lower limits were set to include 99% of the distribution (mean ± 2.58 × SD; see the Statistical analysis section below for normalizing procedure).
Needle-like M3C precipitates are produced during the routine normalizing process before tempering.
So the question becomes, how does this normalizing process work?
The commonly used procedure of normalizing betas is inferior to the separate normalization of M and U, and it is also advantageous to normalize Type I and Type II assays separately.
The present paper compares the anthropometry and numerical simulations of a child head model based on medical CT scans to a child head model developed by scaling an adult head model using the method proposed by Mertz [H.J. Mertz, A procedure for normalizing impact response data, SAE paper 840884, 1984].
Since data from different taxonomic groups are combined in the form of abundance data prior to the calculation of resemblances in the procedure of "normalizing", all-zero-samples for single taxonomic groups do not have to be excluded provided that individuals of any other taxonomic group occurred in the sample.
A similar procedure of normalizing behavioral data within a subject, to permit comparison across the trust levels and hand qualities, was followed whenever 'changes' in a dependent measure are discussed.
In addition, the use of the normalizing equation allows a preliminary procedure of image classification by forming tuning coefficients to be realized quite simply, thus determining weighting coefficients for each class.
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