Sentence examples for robustness of broad from inspiring English sources

A central contribution of this article is to demonstrate that using the notion of satisfaction degree presented previously, one can provide a general computational framework based on temporal logic and Kitano's definition that can be used to evaluate the robustness of broad types of dynamical properties and perturbations.

The timing of maximal activity within a 24-h period (acrophase) has shown mixed results in UP and BD (Teicher et al. 1993; Robillard et al. 2013a; 2015), but there is emerging evidence of lower robustness of circadian rhythmicity in broad populations of young patients compared to healthy controls (e.g. Carpenter et al. 2015).

The fact that these experiments have been conducted in three different laboratories using different protocols also accounts for the robustness and broad applicability of the cryopreservation procedure.

This paper aims at studying the efficiency and robustness of a proposed enhanced broad-range, spectrum shape-dependent, power-law form, scalar-based seismic Intensity Measure (IM).

In recent years, one overarching objective of many has been to address fundamental questions concerning experimental design and the robustness of data collected under the broad umbrella of environmental genomics.

This result shows the robustness of Lorentzian BP under a broad range of noise models, from very impulsive heavy-tailed to light-tailed environments.

A global sensitivity analysis was carried out to evaluate the robustness of our conclusions under a broad range of metabolic states.

With both acetylating reagents, the site-specific acetylation was linear over 60 min and displayed vastly different rates for five unique lysine sites, highlighting the robustness of the method over a broad range of chemical reactivities.

Taken in total, these numerical simulation results demonstrate the broad applicability and robustness of the new wellbore flow model.

Thus, the databases are very well suited for evaluating the robustness of algorithms with respect to a broad range of variations, often occurring in real-world settings.

Extensive numerical simulations in both linear and nonlinear systems in high dimensions, along with applications of diffusive logistic equations and Fokker Planck equations, demonstrate the accuracy, efficiency, and robustness of the new methods, indicating potential broad applications of the sparse grid-based integration factor method.