Sentence examples for a more precise classification from inspiring English sources

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A more precise classification might be pan-Soviet fusion the menu is a culinary tour of the former U.S.S.R. and its satellites, with dishes from as far afield as Central Europe and the Caucasus.

Furthermore, Fisher Canonical Correlation Analysis based discriminate procedure is outlined to give a more precise classification results.

It is recommended that all query structures be represented in their chiral or isomeric form, to ensure a more precise classification.

Three-dimensional analysis has also made possible the first quantitative three-dimensional measurements of cementite precipitates and yielded a more precise classification of cementite precipitates than was possible with classical two-dimensional techniques.

Chemists spent the following century searching for a more precise classification scheme.

Paleontologists have long classified Alioramus within the superfamily Tyrannosauroidea, but because its remains were for many years poorly known, a more precise classification had remained elusive until the discovery of A. altai.

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Meanwhile, it is now fully clear that for optimal management of patients with a diffuse glioma more precise classification of these tumors is needed, and that molecular markers hold great promise in this respect [ 100, 108, 118, 170, 179, 180].

Studies of laterality often use a series of questions for more precise classification, 19 21 rather than the single question used by this study which limits accuracy significantly.

This results in more precise classification results as only artifact-free EEG data epochs are presented to the proposed algorithm.

This paper demonstrates, with empirical work from New York City and the State of Victoria in Australia Australiaa's second most populous state), that more precise classification and characterisation of the nature and types of corrupt activity is an essential precondition to the development and design of targeted anti-corruption measures.

The results of the searches were the basis for the construction of maximum-likelihood trees which allowed the more precise classification of the HMM hits into type I PKS and non-PKS I members.

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