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In particular, approaches are discussed that enable the modelling of the dynamics of gene regulatory systems.
Using methods like abstract automatons and the Unified Modelling Language (UML), it could be shown that such components enable the modelling of real-world systems at different levels of abstractions and granularity, so reflecting different views on the same system in a generic and consistent way.
The spatio-temporal dynamics of cellular automata (CAs) has attracted the attention of researchers from different fields, mainly mathematics, computer science and engineering, as a consequence of both the intriguing spatio-temporal patterns that these dynamical systems evolve and the fact that they enable the modelling of complex natural phenomena.
To monitor and quantify AGB whilst taking into consideration the high spatial variation, and additionally to enable the modelling of carbon stocks, further analysis of the underlying biophysical and anthropogenic conditions and processes, using a multi-variable approach, is essential.
To account for intra-cluster correlation, and to enable the modelling of variance at both area level and individual level, we performed a multi-level analysis of unweighted data, with the middle layer super output area specified as the grouping variable and individuals nested within these areas.
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Cognitive architectures enable the modeling of human performance at a detailed level.
Different viewpoints enable the modeling of these systems as both independent systems and members of a whole.
In the proposed method, we calculate a nonlinear eigenspace for each cluster and enable the modeling of the elements belonging to each cluster by its nonlinear eigenspace.
We place particular emphasis on the design of a computer code to enable the modeling of discontinuous phenomena within a finite element framework.
These transfer rates enable the modeling of patient flow within the ED.
The BioSurfDB system database model was designed to enable the modeling of the main concepts and relations in the surfactant production and biodegradation domains.
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