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Simple foraging models, such as the diet breadth model, rely on assumptions that are clearly violated in the human case.
Energies and diffusion coefficients used in the model rely on thermodynamic and kinetic databases in the framework of the CALPHAD methodology.
The predictions of the model rely on measured data for drag, lift and torque coefficients for fixed experimental cylinders with attached artificial rivulets, and data for the equilibrium location of rain-induced rivulets.
In most if not all reported work, the criteria used to determine such a network model rely on how close it matches the network data in terms of some basic topological characteristics.
The conception and adjustment of the presented algebraic zonal model rely on the oil flow and thermal results obtained by a more complex numerical differential model that has been verified and validated by the authors.
The development and adjustment of the proposed model rely on the analysis of the air flow pattern and temperature distributions obtained by a more complex model numerically solved by means of CFD techniques.
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Its model relies on membership, where individuals pay one fee to PeerJ and become lifetime members.
This model relies on two steps.
However, this business model relies on more than just technology.
That model relies on some traditional network advantages.
The Google model relies on rapid experimentation and data.
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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