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Systems that perform intelligent reasoning tasks on chemistry data require a diverse set of underlying computational utilities including algorithmic, statistical and logic-based tools.
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The computational utility of compositional structure has been considered in depth with regard to a number of cognitive domains, and in particular, with respect to language.
This hardly seems to do justice to the surplus meaning of theoretical terms over and above their computational utility: theories employing them seem to tell us about non-observable features of the world.
More generally, these findings provide evidence for the computational utility and the neural validity of fragment-based visual representation and recognition.
An important test of both the biological plausibility and computational utility of the present theory would be to examine the characteristics of an artificial network of the proposed model neurons.
On the other hand, it is generally accepted that implementing "N-2" or even higher "N-k" (k ≥ 3) security principle may cause excessive financial and computational costs for utility companies.
Evaluation results show that the proposed scheme manages to preserve both the temporal privacy and measurement privacy with filter-resistance, and achieves better performance in terms of computational overhead, data utility of real-time aggregation, and individual accumulation.
While such methods have tremendous utility, computational cost is still a significant challenge for organisms with large and complex genomes.
Previous algorithms helped to consolidate the utility of computational modeling in this field.
In addition, I will outline the utility of computational models in analysis of the dynamic actions of these motor networks.
The given examples will demonstrate the utility of computational models in aiding both basic science and clinical research on VEGF systems biology.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com