Sentence examples for combined classes of from inspiring English sources

The combined classes of California and Massachusetts amount to some 385,000 drivers.

The general pattern of effect sizes for the combined classes of injuries and losses mirrors those of the disaggregated categories, and thus warrants no further discussion.

Our extended model maintains the structure of the original model by combining classes of molecular signals with physiological observations of regeneration to capture dynamic regeneration phenotypes.

Assuming that the two classes differ only in the probability γ and (gamma^{prime}), we can obtain a model for the dynamics of the combined classes by considering the following 8-equation system, where the (N^{prime}) populations refer to the variant class with an increased probability (gamma^{prime}) of first reproducing as a small adult.

Upon further inspection of these plots, the level 4 and level 5 complexities consistently outperform the other levels of complexity, with either the highest percentage of combined classes 0 (< 20 g/m2) and 1 (< 200 g/m2), or the lowest percentage of combined classes 2 (< 400 g/m2) and 3 (> 400 g/m2).

A similar procedure can be used to distinguish class k from the others: we use a normal approximation Gjk for the distribution of the combined classes other than k, and compute <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0012334.e007.PNG" class= inline-graphic"/>.

Study heterogeneity precluded meta-analysis of this combined class versus conventional treatment.

That is, programmers can write meta-expressions that combine class definitions, on top of a small set of composition operators, inspired by the seminal Bracha's Jigsaw framework.

Fatty acid percentages were combined into classes of SFA, MUFA, PUFA, UFA according to their degree of unsaturation and, additionally, PUFAs were attributed to the n-3 and n-6 family.

The synthesis procedure systematically combines these classes of splits to generate column sequences that satisfy a pre-determined separation requirement.

This probability distribution is derived from LDA which can accurately describe user profiles by combining different classes of distributions.