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A mechanical model, based on the component approach, is then proposed and a detailed description of the model assumptions, component characterisation, overall considerations and model validation is presented.
Principal component analysis produces without a priori assumptions component images covarying independently and implying the functional connectivity of the constituent regions [10] [12].
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Conventional blast-resistant design and analysis methods currently rely on simplified assumptions of component behavior and limit states that are based on visual observations of damage.
Even though they are based on parametric assumptions, principal components and factor analysis are widely used in this context and have generally been considered appropriate for the initial stage of exploring and describing the relationships among a large set of variables, even where assumptions of normality may not strictly hold [ 32].
On the basis of these assumptions, platform components were chosen.
In this sense, explanatory unity, which rests on metaphysical assumptions about components and their properties, also involves a form of ontological or metaphysical unity.
Many engineers and researchers base their reliability models on the assumption that components of a system fail in a statistically independent manner.
This procedure is based on the assumption that components γ N and γ G are identical, or nearly identical, in both preseismic and coseismic pairs, for the following reasons.
To show the stability of ( p ∗, 0 ), we make the following assumptions: (i) every component of p ∗ is not zero; (ii) the Jacobian matrix ( ∂ f i ∂ p j ( p ∗ ) ) is strictly diagonally dominant, i.e., ∑ j ≠ i | ∂ f i ∂ p j ( p ∗ ) | < | ∂ f i ∂ p i ( p ∗ ) |, i = 1, …, n ; (iii) ∂ f i ∂ p i ( p ∗ ) < 0 for all i = 1, …, n. .
The results of complex simulations can depend on assumptions about the component processes.
This suggests that the underlying assumptions for this component may not be appropriate for the classification of missense variants.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com