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Typically, agent-based models are set up within a modeling simulation environment and can be used to derive short-term to midterm simulation results [62, 63].
More than 50 concept cars and production models are set to be revealed.
Best practices for designing and building these models are set out in this article.
Artificial neural network (ANN) models are set up to describe the simulation.
As the child grows up, all kinds of models are set before him, most of them determined by his culture.
The models are set up and calibrated on the basis of data obtained by the creep tests.
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Next, spatial autocorrelation models were set for each compound.
Multiple linear regression models were set up.
Homology models were set for MDS under GROMOS54a7 force field.
Three models were set up to adjust for confounding variables.
Specifically, two risk adjustment models were set up.
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