Sentence examples for empirical interaction from inspiring English sources

Exact(7)

Thus, our empirical interaction networks indeed constitute a very rigid constraint on any possible interactions.

The experimental results were compared to the predicted results found through empirical interaction parameters and Fox equations.

Average meeting probability of 50% is 2 orders of magnitude higher than the average network density of our empirical interaction networks (0.27%) (cf. Table 1).

At present, most of the current design methods recommend empirical interaction formulae on the moment resistances of the tee-sections to allow for the presence of local axial and shear forces.

In the process, the approach potentially addresses some limitations of the existing techniques, for example, CZM, virtual crack closure technique (VCCT) and so on, which make use of an empirical interaction among different modes of loading (e.g., mode I, mode II etc).

However, the above models (including the one used here) still require an explicit mechanistic explanation for how the contextual manipulation could influence contrast sensitivity in the manner observed, and the empirical interaction of stimulus area with motion.

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Similar(53)

They are normally conceptually separated, with very few theoretical and empirical interactions evident in the literature.

To give a feeling for the size order of the relative union-formation risks in our four data sets in the twilight years of state communism, we attach Table  3, where for each country we display the (two-way) empirical interactions between the type of union formation (marital and non-marital) on the one hand and pregnancy-and-parity status on the other.

The question of normative-empirical interaction, i.e. the interplay between empirical data and normative elements, has been extensively investigated in recent years [ 9- 11].

In particular, the stability of these signals in the face of extreme noise suggests that empirical protein interaction data can be integrated with orthologous clustering around these protein interactions to reliably infer local network structures in non-model organisms.

These equations have one or two empirical binary interaction parameters (BIPs) for each binary pair of a mixture.

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