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From this standpoint, modelling cancer signatures with genes that are significantly associated with survival is more direct in comparison to previous approaches.
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Form the modeling standpoint, this model works on the ion time scale and therefore avoids the shorter electron time scale associated with a two-fluid approach.
From the standpoint of model equivalence, we note that the multiple anchor models presented in Figure 2(b) include a model with a hidden (latent) variable connecting A and B, and that no such model is included in the single anchor model comparisons.
That said, from a commercial standpoint, the Model 3 is poised for massive success, regardless: more than three hundred and twenty-five thousand consumers have now placed deposits, amounting to fourteen billion dollars in potential sales.
From a Norwegian standpoint the model is bearable, even if it comes at a high price in terms of democracy.
From a practical standpoint, the model identified patients destined to have RED event on average 16 hours (or more than one nursing shift) before they actually experienced a major clinical event.
Though from a scientific standpoint this model has vastly improved our understanding of the various genetic and signaling events underlying HCC development, it is unfortunate that these findings have not been translated into better treatment options as liver resection and transplantation still remain the best choice and only benefits a small population.
Previous research into providing interpersonal technology-mediated interruption management support has predominantly been conducted from a paradigmatic standpoint that focused on modeling the context of the person being interrupted (interruptee) such as his/her mental workload, activity and location as a means to identify opportune/inopportune moments for communication.
Concentration changes may be caused by genetic up- or down-regulation, secretion and re-uptake, increased degradation, RNA interference, etc. and are therefore not easy to model from the standpoint of mechanistic biological modeling, which would need modules for all biologically attested processes.
From a conceptual standpoint, NOVEL items could be modeled using only 2 regressors, one for auditory and one for visual items.
Models with a small to moderate number of classification states produced better results from a biological standpoint, compared to models with higher numbers of states.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com