Sentence examples for maximizing sensitivity to from inspiring English sources

This paper presents an analysis aimed at determining the optimal sampling interval that would minimize the effects of measurement noise and truncation errors on the calculation of the curvature and strain energy mode shapes, thus maximizing sensitivity to damage and accuracy of damage localization.

This suggests that TF correction may be important in maximizing sensitivity to detection of early disease.

Central processing of oscillatory receptor inputs could contribute to distinguishing self-generated stimuli from external stimuli while maximizing sensitivity to external stimuli.

Consequently the "…ripe directions for future research…" fall into three categories: I) Concurrent PRO use as Walton and MacDermid concluded through use of "…patient-centred…[and]…symptom-specific scales…to allow separation of important constructs while maximizing sensitivity to change".

The suggestion put forth is that, for those wishing to adopt the NDI-5, concurrent use of a symptom-specific scale is encouraged to allow separation of these important constructs while maximizing sensitivity to change.

The charts further allow for optimization of a test configuration to maximize sensitivity to anisotropy ratio.

The proposed strategy consists of two fault detectors: The first fault detector is based on a H−/H∞ residual generator that maximizes sensitivity to any kind of control surface servo-loop faults whilst simultaneously minimizes the influence of unknown inputs.

The approach provides techniques for designing filters that maximize sensitivity to the effects of additive faults on the residual signal, in the H_-norm sense, while guaranteeing robustness to disturbances and plant perturbations, in the H∞-norm sense.

Motion-corrected covariates were included in the model in order to optimize the elimination of task-correlated motion artifacts and maximize sensitivity to true activations [19], and to reduce inter- and intra-subject variability [20].

This is mainly due to the specific settings used to maximize sensitivity to variants and errors within BFAST, as well as the time spent loading the 10 genomic indexes, which is included in the running time of BFAST.

Thus, we predicted that the comparison between recollection and familiarity trials would maximize sensitivity to detecting brain activity related to contextual retrieval.