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In specific terms, this model reveals some relevant facts on the last recessions.
In mathematical terms, this model is known as "random sequential adsorption" (Evans 1993; Stoyan and Schlather 2000; van Lieshout 2006).
In biological terms, this model has subsets of loci which are entirely linear in effect, some which are entirely nonlinear, and interactions between these subsets.
In biological terms, this model describes a system in which each locus interacts with others in the same block (including itself), but not with loci outside the block.
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In a generalized form (omitting the constant term), this model can be formulated as follows: theta_j^{{sup er}} = sumlimits_{{k = 1}}^K {{beta_k}{x_{{kj}}} + {varepsilon_j},} (3)where β k denotes the coefficient corresponding to the kth determinant and ε j is an independent and identically distributed random error term.
We term this model ODE_1.
We term this model the analysis model.
Without further flux bound perturbations we termed this model iRC1080WT.
We therefore termed this model zebrafish intestinal inflammatory lymphangiogenesis (IIL).
They termed this model a Backbone-Enhanced-Network-Model (BENM) (Ming and Wall, 2005).
In the long-term this model might result in less diabetes complications and reduced mortality rate.
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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