Sentence examples for quantify deviation from inspiring English sources

This was shown using a novel regress-delete-regress procedure outlined in Materials and Methods (we were able to directly test the sensitivity to 〈k〉, rather than using a Monte Carlo approach as above, because the strong correlation of m with n provided a baseline from which we could quantify deviation of 〈k〉 from constancy).

The GPS generated a consensus configuration for both mandibles and a thin-plate spline was used to quantify deviation of individual specimen landmark configurations from the consensus along principal axes of shape change [ 40, 41].

This approach is unique because of the following reasons: (1) A continuous loss function is used to quantify deviations between a quality characteristic and its target level.

The data are analyzed in terms of a development of the simple energy balance incorporating flow contraction coefficients to quantify deviations from ideal flow.

We start from a specification of the production objectives while imposing minimal structure on the production possibilities, and construct tools to meaningfully quantify deviations of observed producer behavior from optimizing behavior.

To simplify gait analysis interpretation and to quantify deviations from normality, some quantitative synthetic descriptors were developed over the years, such as the Movement Analysis Profile (MAP) and the Linear Fit Method (LFM), but their interpretation is not always straightforward.

For deterministic models numerical approaches typically rely on root mean squared errors to quantify deviations.

To quantify deviations in muscular activity, SEMG ratios were calculated between homonymous muscles on injured and non-injured sides, and between antagonistic muscles on the same side.

Fisher's definition of epistasis is also known as statistical epistasis and has been used to quantify deviations from independence (Wilson 2004).

To quantify deviations from our null models of no spatial (or no metabolic) clustering, we defined the clustering score CC as the observed number of neighbouring pairs divided by the corresponding expected value.

We quantify deviations from classical kinetics in the context of the Michaelis-Menten (MM) equation; this is the cornerstone of present day enzyme kinetics and is a derivative of the traditional deterministic mathematical framework based on ordinary differential equations.