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Automated translation of models and languages across the different disciplines is created with the IDN.
Often, consistency checks rely on existing formal analysis tools such as model checkers and require the translation of models into input languages of these tools.
While some variation can be explained by the probabilistic translation of models into randomly seeded datasets, the rest can logically be attributed to subtle differences in model architecture.
We developed a tool [ 29], N2BB, which implements an automatic translation of models described in the biologically-intuitive Narrative Language into executable computable models formulated in BlenX [ 11], a programming language inspired on the Beta-binders process calculus [ 4].
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Such preparation is often performed iteratively and involves complete listing of modeling assumptions, translation of model equations into words or overview figures, choice of simulations and interpretation of results, and reflection on consequences of the modeling predictions.
However, translation of model insights into clinical practice is challenging since there are no well established correlates of model parameters with clinical data.
Virtual populations can also be designed from scratch, through the translation of model parameters in virtual patient descriptors (second virtual population in Table 4).
All translations of models longer than 80 codons were compared against the proteomes of Y. lipolytica and S. cerevisiae as well as Uniprot-Fungi using BLASTp.
Hence, translation of such models into computationally easy surrogate models is necessary for successful applications of such high fidelity models to process design optimization, scale-up and model predictive control.
In contrast, modeling, exchange and translation of geometric models in engineering applications usually involve data approximations and algorithms with different numerical precisions.
In this paper, we propose a conceptual framework for the translation of DEMO models into an agent based simulation.
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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