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To derive the equations of motion of the train slab track bridge interaction system, the multibody dynamics and finite element method models are used for the train and the track and bridge, respectively.
In this consensus method, models are combined at a late stage i.e. the prediction phase.
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To model the effect of soft-tissue resistivity on intracerebral electric fields, a finite element method model was constructed, and the theoretical values of the electric field inside the brain were calculated for different conditions using Comsol Multiphysics (Comsol, Burlington, MA, USA).
Subsequently, a finite element method model was developed from computed tomography images by using AutoCAD software (2004 version, Autodesk, Inc, San Rafael, Calif) and ANSYS software (version 10, Belcan Engineering Group, Downers Grove, Ill).
The finite element method model was constructed using 3-D solid elements (Figure 3).
A 2D finite difference method model was developed using LPILE, 2012.
The mixed method model is described in more detail in a companion paper [1].
A random-effects (DerSimonian-Laird method) model or fixed-effects (Mantel-Haenszel method) model was applied to calculate pooled effect estimates in the presence (P ≤ 0.10) or absence (P > 0.10) of heterogeneity.
Using statistical methods, models were built to link chemical descriptors to the biological activity.
There are many evaluation types [ 45], but our previous research suggests that a triangulated, multi-method model is best suited to this problem.
In our method, independent models are developed using subsets of genes for the annotated and unannotated datasets.
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