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In Yades, modelers can easily define models that describe different demographic processes with a web user interface and transparently run them on any computer architecture environment thanks to its demographic simulation library and code generator.
We now define models and frames.
They first define models of repeated games and differential games.
By means of a mixture design it was possible to define models able to predict the density in function of size distribution.
The platform is highly customisable as users can define materials, particles and reactions and choose or create external plugins to define models of microstructural development.
Ontologies are beneficial due to their potential to formally define models, to allow reasoning about semantic models, and to automate transformations at all layers.
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Several sources of information were identified to define model input and toxicity information.
This enhances the model interchange process by making it possible to define model-to-model transformations from design models into software performance models.
In the first approach, one can define, model and estimate the relationship between each transition probability and risk factors separately.
One approach can define, model and estimate the relationship between each transition probability and risk factors separately.
The following table shows the assignment of selected variables to defined models (Table 2).
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