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The analysis of variance (ANOVA) of the cubic polynomial model demonstrated that this model was highly significant and reliable.
It is demonstrated that this model can yield an understanding of the implications of basic SEA assumptions.
The IRI 2012 uses the NRLMSIS-00 model to generate this relation (Bilitza et al. 2014), and Burns et al. (2014) demonstrated that this model has some problems in reproducing the change in [O]/[N2].
It has been recently demonstrated that this model is equivalent to an inhomogeneous Euler Bernoulli beam in which a Dirac's delta is added to the bending flexibility at the position of each damage ("flexibility crack" model).
After having demonstrated that this model can predict the load deflection with good accuracy, a parametric study is conducted to evaluate the effect of the percentage of longitudinal reinforcement ratio of beams and columns on the load carrying capacity of the infilled RC frame.
Recently it has been demonstrated that this model is also useful to evaluate virulence of E. faecalis [25], [26].
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The fitting results demonstrate that this model is suitable for modeling fissure development in loess.
Such capabilities demonstrate that this model hold great promise for applications requiring flexible and bendable Li-ion batteries.
Using econometric analysis, we demonstrate that this model provides a significantly better fit to the experimental data.
These examples demonstrate that this model is able to numerically simulate the CO2 storage relevant geological systems.
As examples, we consider N-dimensional model of waves in anisotropic fractional nonlocal media and then we demonstrate that this model is connected with microstructural lattice model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com