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Signal treatment (from pre-processing to wave analyses) was implemented using Matlab (MathWorks, Natick, MA, USA).
All image pre-processing for the analyses was implemented using the SPM5 program (Wellcome Department of Cognitive Neurology).
A binomial distribution within generalised linear models (GLM) for both univariate and multivariate analyses was implemented using R software (http://r-forge.r-project.org).org
Maximum likelihood phylogenetic inference analyses was implemented in RAxML-HPC2 v8.0.24, on the CIPRES Science Gateway v3.3 [ 64], using the partition scheme from the PartitionFinder analysis (Additional file 2: Table S2), under the GTRCAT model for the rapid bootstrapping phase, and GTRGAMMA for the final best scoring ML tree.
The alignment method of the other two phylogenetic analyses was implemented on MUSCLE 3.6 [ 75] and the conserved region of each alignment was trimmed using Gblocks [ 76], which allows less strict flanking positions and gap positions within the final blocks, but does not allow many contiguous nonconserved positions.
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Numerical analyses are implemented to confirm the theoretical scheme.
Diverse statistical analyses are implemented to identify the bounded probability profile of the uncertain structural responses.
All linkage, SDL and QTL analyses were implemented in QTL IciMapping software version 4.0.6.0 (Meng et al. 2015).
Roll forming tests of hat-shaped section and the relational springback analyses were implemented to compare with FEA simulation results.
Analyses are implemented based on Monte Carlo simulation and applied to 1997 traffic accident data in the Buffalo, NY area.
All analyses were implemented in R [38].
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