Sentence examples for models of measured from inspiring English sources

It includes the test structure design, the stress and measurement sequences, the raw data analysis and the extrapolation models of measured time to breakdown to lifetimes at operating conditions and targeted product failure rates.

(b) A side view of the surface plot of the intensity was used to determine the threshold value of 55. Figure 5 shows the geometries of typical finite element models of measured single cells on the substrate before and after stretching.

The algorithms are constantly searching for the best, most predictive solutions, while work is ongoing with the academic world to devise new techniques for bringing further scientific rigour to the models of measuring influence.

Such measures would not only foster the implementation of proven interventions of tremendous public health significance, but would be important models of measuring community-based public health initiatives designed to address weight management, healthy eating, and physical activity.

Conformist models of measuring achievement suit some persons; they often do not work well with people who think or express themselves differently, which can make some intelligent persons seem stupid even though they are not.

In this article we showed the fundamental cellular processes that drive collective cell movement by means of integrated approaches, including precise quantification measurements and mathematical modeling of measured data.

The proposed simulation approach is based on the identification and a successive parameter estimation of an empirical model of measured points.

The ensuing probabilistic subjective representation of hidden states (the posterior belief) then enters a response model of measured behavioural responses.

Overall, expressing the structure inference problem as a maximum likelihood problem offers a principled way to improve the method by improving the probabilistic model of measured data.

They estimated an 11% increase in mortality per 10-μg/m increase PM2.5 (95% CI, –1% to 25%), using a chronic PM exposure interpolated with a statistical model of measured PM, traffic patterns, and proximity to freeways.

DCM represents a fundamental variation from alternative methods to estimate connectivity because it employs a generative model of measured brain responses that takes into account their nonlinear and dynamic nature.