Sentence examples for computationally enabled from inspiring English sources

From a wider perspective, the definition of ontologies and the increasing relevance of web-based technologies are part of a larger evolution of science (and knowledge creation in general), characterized by a computationally enabled social dimension [ 36].

The essential benefits of the procedure are that it requires minimal input data that can be obtained from simple fragmentation tests, and that the procedure is computationally efficient enabling application to large scale industrial structures.

This algorithm is computationally simple enabling real-time implementation.

Ongoing collection and integration of human PPIs from different sources, both experimentally and computationally, can enable disease-specific network biology modelling in translational bioinformatics studies.

From the perspective of materials design, it provides a simplification of the problem into two features, and computationally it enables the two contributions to be calculated independently of each other.

Among his first accomplishments, in 1968 he developed a computationally efficient algorithm that enabled him to co-discover the Crab Nebula Pulsar, helping confirm the existence of neutron stars predicted by theoretical physics.

Among his first accomplishments, in 1968 he developed a computationally efficient algorithm that enabled him to discover the Crab Nebula Pulsar, helping to confirm the existence of neutron stars predicted by theoretical physics.

We considered panels selected by previously described methods but favored a computationally informed method that enabled selection of viruses representing diverse neutralization sensitivity patterns, given that we do not a priori know what the neutralization-response profile of vaccine sera will be relative to that of sera from infected individuals.

This enabled a computationally readable representation of the pathways, as well as a graphical visualization that relates molecular topology to cellular components.

This computationally sound statistical tool enabled evaluations of single and multi-locus genetic and environmental markers as indicators of PCA susceptibility within our population sample.

The system thus takes advantage of physical measurements at the microscopic scale, while enabling computationally efficient evaluation of macroscopic designs.