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All modeling and model analysis were performed in MATLAB (MathWorks, Natick, MA).
The modeling process and the model analysis were informative and served as a platform to study the neuronal migration at the system-level rather than isolated components.
A high-speed observation technique and simple theoretical model analysis were also introduced for further detailed discussion.
Convergence tests for both macro-mechanical and micro-mechanical model analysis were conducted in order to maintain adequate accuracy with reasonable computational time.
Dissipated Creep Strain Energy to fracture (DCSEf) ratio, fracture energy and model analysis were also used to evaluate moisture resistance, crack resistance and deformation resistance of asphalt mixture respectively.
Univariate and multivariate Cox model analysis were performed to assess the effects of candidate variables on survival.
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Finally, a multiple model analysis is introduced.
A logistic regression model analysis was performed to determine predictors of treatment.
All D-PLSR model analysis was conducted in MATLAB (Mathworks, Natick, MA) using the partial least squares algorithm by Cleiton Nunes (available on the Mathworks File Exchange).
Good correlation between the finite element analysis and the model analysis is obtained in the chapter.
In order to understand the system behavior and investigate operability, a systematic model analysis is performed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com