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The efficiency of this method stems from a hierarchical multiscale modeling scheme, in which the constitutive response of subcell regions, smaller than a representative volume element (RVE), are determined using micromechanics; the resulting constitutive parameters then act as inputs to finite element simulations of the RVE, from which damping properties are extracted.
However, considering its importance, we intend to incorporate it into our modeling scheme in the future.
The shape detection level set method [ 3] applies a shape modeling scheme in level set evolution.
To reflect this, we considered a modeling scheme in which the basal compartment of the seminiferous tubules was divided into domains that accommodate one GFRα1+ unit each.
These findings provide strong support for the validity of the simple modeling scheme in capturing the in vivo steady-state behavior of GFRα1+ population, at least over the 20 day time course.
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In an inverse modeling scheme, any measurement made in the field that can be mapped to a variable in the model could be used to determine which combinations of parameters are a good fit [ 54].
This modeling scheme creates kinetics in accordance with the diagrammatic representation.
To assess the underlying source of these changes, a hierarchical modeling scheme was applied in fitting a two-parameter power function to the raw participant data.
The proposed modeling scheme is of interest in model-based control and optimization of processes with distributed parameters.
This new connection modeling scheme could greatly reduce meshing efforts in large models and provide more accurate solutions in critical areas of the structure such as corners and edges by coupling the axial and transverse connection responses.
In Scenario I, which is applied as a new patient modeling scheme, the prediction model does not use information from within the same lot of cells model training.
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