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One of the advantages of our mathematical modelling approach are that the discrete model explicitly represents cell motility, cell to cell adhesion and cell proliferation processes.
Finally, the proposed model explicitly represents the starting and ending time of all tasks in the task network to provide complete temporal flexibility.
The model explicitly represents the nested structure, allowing entities to be influenced not just by the labels of the tokens surrounding them, as in a CRF, but also by the entities contained in them, and in which they are contained.
Our model explicitly represents the discrete copy number at a probe location as a latent random variable.
This model explicitly represents the main cause of ART failure, nonadherence leading to the accumulation of genotypic resistance, and has been well-validated in multiple populations (Braithwaite et al., 2011).
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As PBPK models explicitly represent ADME genes, they are also capable of describing patient groups and individuals with specific genotypes and their corresponding pharmacokinetic phenotype.
These models explicitly represent individual entities in the system under study and can realistically accommodate extreme heterogeneity among the agents by allowing individuals to incorporate spatial interactions into the simulations directly [ 25].
Individual-based models explicitly represent every individual host within a simulation algorithm and usually assume a highly variable – but non-zero – probability that any infectious host can infect any susceptible host.
We developed a spatially distributed Precipitation-Runoff (P-R) model that explicitly represents the land cover information, performs integrated modelling of surface and subsurface components of the urban precipitation water cycle and flow routing.
A crystal plasticity finite-element (CPFE) model which explicitly represents the full detail of the complex microstructure was developed to interpret the experimental measurements, and good quantitative and qualitative agreement has been obtained.
The specific rules of infection constitute a static within-host sub-model and an implicit representation of within-host dynamics, which allowed us to implement the population transmission model without explicitly representing the mechanisms that give rise to the sequential expression of different VSAs within the host.
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