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Nonlinearity measures quantify the degree of nonlinearity in dynamic systems.
These measures quantify the complexity of the angular diffusion profile modeled using a higher order model, thereby giving more information than classical diffusion tensor-derived parameters.
The two measures quantify the (i) potential adverse impact on system resilience from a disruption affecting link i, and (ii) potential positive impact on system resilience when link i cannot be disrupted, respectively.
The proposed error measures quantify the consistency between segmentations of differing granularities.
It is important to stress that some measures quantify the relevance of the candidate terms of a specific domain based on corpora of other domains.
Such measures quantify the structural complexity of the underlying networks.
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Detailed measures quantifying the degree to which these developments (n = 36) complied with the policy requirements were generated in Geographic Information Systems.
Specifically, we have shown that extremely simple measures quantifying the popularity of the American Idol participants on Twitter strongly correlate with their performances in terms of votes.
The first measure quantifies robustness of structures with respect to their input variables while the second measure quantifies the overall robustness of a structure.
Specifically, the proposed measure quantifies the statistical precision with which positions of atom columns can be estimated.
This measure quantifies the degree to which a word can be used in a broad range of different linguistic contexts.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com