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The model structure is based on two linear chains of cohorts characterized by both physiological age (heat unit accumulation) and development-stage dispersion in the banana population due to flowering, harvesting and sucker selection.
The predictive model for adsorption affinity was based on two linear relationships derived by interpreting the experimental measurements with molecular structural parameters and compensation effect: ΔH° vs. dye size and ΔS° vs. ΔH°.
This form is based on two linear precoders, which maximize the Euclidean distance dmin for the two independent data streams according to the following rule: pouring power only on the strongest subchannel or on both subchannels according to the value of the channel angle θ in comparison to θ0.
The present study was developed based on two linear mixed models: a non-genetic model, which accounts for spatial autocorrelation and is used to estimate the effects of competition between neighboring trees into the single clone plots; and a genetic model to infer the nature of the clonal competition.
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A multi-layered model is employed to model arbitrary variations of material properties based on two linear-distributed material softness parameters.
A new device for the assessment of instantaneous angular and linear accelerations of the head is presented, which is based on four linear tri-axial accelerometers suitably attached to the head by an helmet.
Similarly, the predictive model for diffusion coefficient was based on two derived linear relationships: activation energy of diffusion vs. dye size and logarithm of pre-exponential factor vs. activation energy of diffusion.
It is proposed a lumped model for the PEM fuel cells in [20] based on zero dimensional linear equations to determine the impacts of various operating and design parameters such as input temperature, pressure, stoichiometric ratio, thickness of membrane and gas diffusion layer on the performance of the fuel cell.
This paper proposes a hybrid modeling approach based on two familiar non-linear methods of mathematical modeling; the group method of data handling (GMDH) and differential evolution (DE) population-based algorithm.
All F-tests across all genes and all the fixed factors were considered as one family of tests, and the resultant collection of p-values was used to compute adjusted p-values based on two False Discovery Rate (FDR) controlling methods, the linear step-up method of Benjamini and Hochberg [ 21] and the two-stage linear step-up method (TST) of Benjamini et al [ 22].
In 2011, I published a model projecting ballot initiative results for same-sex marriage based on two scenarios: one which assumed a linear increase in support, and the other which assumed an accelerating trend.
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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