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Our simple derivation is based on an algebraic derivation.
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Therefore, here we present a simple derivation that is consistent with models used in GS (Equation 2) where marker genotypes are regarded as fixed and marker effects are viewed as random IID variables.
If each derivation is simple, there is expected to be a huge explosion of SEs.
It is shown that this derivation is simple and consistent with the commonly used formulae for the linearized stiffness and damping coefficients.
We used CAPRA in this study to account for the clinical information, because it has been extensively validated on thousands of patients (Cooperberg et al, 2006; May et al, 2007; Zhao et al, 2008) and its derivation is simple and transparent.
This type of system derivation is like simple taxonomies, which like the sys-nets can represent moves in delicacy.
What is more important is that the physical meaning of this derivation is clearer and simpler.
This rather simple derivation can be useful for resource managers to understand sulfate/fish THg dynamics and provide guidance in the protection of sensitive ecosystems against excessive mercury bioaccumulation.
This new derivation is more systematic and simpler than previous derivations.
Its derivation is straightforward, and simulation of its choice probabilities is computationally simple, it is highly flexible and can approximate any random utility model.
The derivation is operatic, grand operatic, that is; the imperative is largesse, style, majesty of presence.
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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