Sentence examples similar to intense robustness from inspiring English sources

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Mr. Talbot's "León" and "Santiago" — two movements excerpted from the hourlong "Path of Miracles" (2005) — dramatizes a religious pilgrimage to Santiago de Compostela, in Spain, with passages in English, Galician and Latin; juxtapositions of intense serenity and celebratory robustness; and an ecstatic finale that includes a processional by the choir through the church.

The incompatible interactions produced a more robust and intense transcriptional response and the proposed quantitative model suggested that a high level input signal is generated in resistant plants in response to infection, determining the robustness of the system.

This early RNA work provided a basis for the intense theoretical exploration of the relationship between robustness and adaptation (Huynen 1996; Huynen et al. 1996) and between robustness and evolvability (Schuster and Fontana 1999; Wagner 2005; Draghi et al. 2010).

Perhaps the most surprising result was that genes with high environmental robustness appeared to be under less intense selection than those that varied more across environments.

This suggests that, to the extent that correlated evolution plays a role in genetic robustness evolution, it is not any more intense when direct selection is acting on ER.

The high fidelity and robustness of this process have made it a subject of intense study in both the experimental and computational realms.

Cationic polymers are the subject of intense research as non-viral gene delivery systems, due to their flexible properties, facile synthesis, robustness, and proven gene delivery efficiency.

This status is the result of factors such as the intense experience with this organism in industrial fermentations, the ease of genetic engineering, and its robustness under process conditions.

While machine learning algorithms such as random forest and support vector machine can be more computationally intense and difficult to interpret, our work shows that the signatures derived there from have superior prediction power and robustness [ 15, 20- 23].

The robustness of this approach was also verified by various tests with different conditions such as interferences of larger objects, intense stray light and an uneven background.

Second, there was the robustness.

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