Sentence examples for robustness effects from inspiring English sources

A marginal simulation based method is presented that can be used to compute the robustness effects of project alternatives, given their geometrical and topological characteristics, on a network level.

A case study for an infrastructure project in the Netherlands is presented that illustrates how the robustness effects of infrastructure projects can be computed given their topological and geometrical characteristics.

It is then shown that the poles of such an observer are equivalent to the roots of filter polynomials Tj z−1) in a GPC Input/Output (I/O)formulation, which implies that these poles inherit the robustness effect associated with filter polynomial roots.

Our justification for taking all p j equal is to investigate systematically whether there is a threshold robustness effect for varying steepnesses.

Thus, sustained exercise in fish can induce a similar robustness effect as in humans, where a moderate aerobic training is also known to decrease the risk of infections and chronic life-style diseases [ 13, 14].

The use of model falsification for system identification allows for explicit inclusion of engineering heuristics in this knowledge intensive task while also offering robustness to effects of systematic modeling errors that are associated with idealization of complex civil structures.

This may be taken as an indication of robustness toward effects of measurement errors.

Thus, dissemination to other federal states as well as longer term follow-up testing of the robustness of effects is to be anticipated.

We also used approaches proposed by Akl et al. [25] to test the robustness of effect estimates to missing participant data (due to withdrawal, drop-out, etc).

We measure the robustness-enhancing effects of both mechanisms on the basis of their costs, i.e., the amount of excessive links and the induced geographical length.

We aim to investigate cortical responses of ACE with no first person implicated stimuli to study the robustness of effect in low imagery processes.