Sentence examples for predictable robustness from inspiring English sources

Exact(2)

This predictable robustness of the heuristic models for the interiorly resonant band gaps suggests the potential of SSRH as a host structure in the active control to the propagation of elastic waves.

However, predictable robustness of genetic networks is still a difficult task.

Similar(58)

The partial Hamiltonian controller is recommended for this case that has wide and predictable operating region, robustness, and uses the measurable state variable only.

Generally, different minimal reaction sets have different structural and functional properties in terms of robustness, predictable metabolic interactions, practically achievable metabolic fluxes, and thermodynamically non-favourable pathways and cycles.

Predictable predictions?

Several factors related to the physical and biological functioning of the designed cells including high substrate utilization, deregulated pathways, high tolerance to inhibitors, robust reproduction, predictable metabolic interactions, and physical robustness to sustain the stress and strain during fermentation have to be considered before creating minimal cells [ 21, 22].

Key features for integration into a control system are robustness and repeatable, predictable motion.

Holonic manufacturing is a novel paradigm for manufacturing that tries to merge the best properties of both hierarchical and heterarchical systems, namely, a high and predictable performance with a high robustness against disturbances.

Highly organized, universal structures underlying biological and technological networks mediate effective trade-offs among efficiency, robustness and evolvability, with predictable fragilities that can be used to understand disease pathogenesis.

This is an useful methodology to help the PEMFC normal operation more repeatable and predictable under its lifetime by combing both optimization and robustness goals.

Next generation sequencing holds great promise for applications of phylogeography, landscape genetics, and population genomics in wild populations of nonmodel species, but the robustness of inferences hinges on careful experimental design and effective bioinformatic removal of predictable artifacts.

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