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Model evaluation is an essential milestone of model development to increase confidence in the predictions.
The allocation approach demonstrates systematic multiscale process model development to avoid arbitrary allocation assumptions.
Model development to predict toxicity of organophosphate insecticides in different matrices was carried out using multiple linear regression.
The paper presents a model development to derive a semi-analytical solution to describe reactive solute transport through a single channel in a fracture with cylindrical geometry.
The work presented includes material characterization testing, including some fatigue studies, and constitutive model development to fully understand the material behavior.
Model development to predict the toxicity of sulphonylurea and phenylurea herbicides in different matrices was carried out using multiple-linear regression.
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The Park transformation is applied in the model developments to derive the nonlinear differential equations in the rotor reference frame.
You also need to understand and support the analytic life cycle in the enterprise: the flow from data exploration to model development and to deployment and model management.
The present paper is devoted to a coupled thermal-granular model development applied to that process.
The most convenient way to work with the CellBuilder, at least during model development, is to use the Continuous Create checkbox.
An integral aspect of model development is to build the model with a small but appropriate set of descriptors with a view to interpret the relationships.
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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