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The model is termed multistep because of the hierarchy of direct and indirect effects.
The percentage of the output variations that is reproduced by the model is termed as fit_model and a higher number of fit_model means a better model.
The new DNN model is termed as Forward IIR & Recurrent FIR DNN (FIRF-DNN), where its component neurons, network structures, and input/output relationships are discussed.
This model is termed the "3-wheeled" Bicycle Model since it uses an additional wheel (from the traditional bicycle model used to capture lateral dynamics of passenger vehicles) to account for the implement forces.
The model is termed a stochastic block model, which in our context means that we assign proteins to blocks (or groups), and the probability of an interaction pattern between two proteins depends only on the groups to which they are assigned.
Hereafter, this model is termed KaD-KsD.
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This reduced model was termed the Nonlinear Artificially Spiking SC (NAS-SC) model [10].
In our work, the resulting simplified model was termed the "lumped" model.
The estimates in g based on this model are termed the genomic enhanced breeding values (GEBV).
The estimates in g based on this model are termed direct genomic breeding values (DGV).
Therefore, the first two factors of this three-factor model are termed the "discrimination factor" and the "undistracted-discrimination factor".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com