Sentence examples for a group of robust from inspiring English sources

Exact(4)

As the bombs drop on Exeter, a group of robust teenage girls with names like Giraffe and Curls scurry from their dorm in Goldwyn's Girls Schooll to a bomb shelter from which they emerge to find their world destroyed.

The character of Dr. Knock, whose long and serious face, scientific double-talk, ominous pauses, and frightening graphs and charts convert a group of robust villagers into confirmed hypochondriacs, was created on the stage by the noted actor-producer Louis Jouvet.

November 18 2010 American and contemporary art will split the bill on Nov. 18 at Swann, where the morning session offers several lots from the collection once owned by the American art historian and curator Lloyd Goodrich, including a lush pen-and-ink drawing of a group of robust New Yorkers frolicking in the waves ("In the Surf, Coney Island") by Reginald Marsh.

Undoubtedly, one of the most challenging clades that have been recovered by recent analyses is a group of robust corals in clade XVII [ 12].

Similar(56)

Thus, our model represents a larger group of robust, equation-based models describing the global spread of infectious disease.

A group of 19 increasingly robust paintings by Nicole Eisenman traces the evolution of her incisive reinterpretations of early Modernist figuration and mingles with new plaster sculptures.

Due to the lack of statistical power when trying to validate differences between single-patient fMRI measures and a group of heathy subjects, robust statistical methods should be involved.

"As I saw it," he said in his office, "here's a group of people who had a robust conversation going on, with basically no holds barred, and yet managed to manage their diversity without falling apart, without falling into factionalism".

Although changes in the abundance of individual mRNAs may explain a particular biological situation, the concerted action of a group of genes is a more robust means to understand the molecular processes and regulators that drive a given phenotype [ 16].

Probabilistic, nature-inspired optimization techniques belonging to this group of robust methods, as well as metamodel-driven and approximation-based optimization strategies, are discussed here.

A group of models was identified that is sufficiently robust to be used for prediction purpose.

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