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One approach to modeling intracranial fluid dynamics is to use lumped-parameter or compartment models, which consider separate compartments for, e.g., the brain parenchyma, vasculature, and ventricles through which fluid is exchanged (Kellie 1824; Ursino and Lodi 1997; Linninger et al. 2009; Jung et al. 2005; Sharan and Popel 2002).
The results are compared to Taylor Bishop Hill-type and Sachs-Taylor Bishop Hill-typeder grand interaction on a statistical basis.
We developed dewetting models which consider Au self-diffusion along the Au sapphire interface as a factor controlling the kinetics of the dewetting process.
Unlike the other models which consider only head-on collisions, the model considers the droplets to approach at an arbitrary angle.
Crushable foam FEA models, which consider the yield surface and hardening, predict different responses for impacts on the road and on a kerbstone.
Next, some numerical applications dealing with these four beams are carried out in order to compare the eigenfrequencies obtained with the proposed model against two existing models which consider different kinematic assumptions.
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The simulation models which considering the mesh size sensitivity and the failure criteria combined with the damage evolution model have been studied.
These models, which considered stress sensitivity, were based on fractal theory and the mechanics of materials.
Discrete models which considered multiple occupancies for single file [22] [24], or non-single file transport [25] [27] were suggested in the past.
Study-specific RRs were combined using the DerSimonian and Laird (1986) random-effects models, which considers both within- and between-study variations.
The proposed method is a dynamic model which considers the eddy current, hysteresis and anomalous losses.
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