Sentence examples for material captures from inspiring English sources

The material captures light, a major goal of the 19th-century painters.

Next we apply three known gene expression signatures (Intrinsic subtypes, 70 gene prognosis signature and Genomic Grade Index), developed from FF samples, on FFPE samples in order to assess how well the FFPE material captures the biological information contained in these signatures.

This gives us the confidence that using whole siliques as the experimental material captures a significant proportion of the endosperm expressed genes.

However, this material captures not only the developmental history of the discipline, but also some of the knowledge that is missing from the formal peer-reviewed bibliographic databases for many different reasons and which can add value to future research and current practice.

In an unusual test of the toxicity of particles filtered from the same spots at different times, agency scientists found that substances collected near a Utah steel mill when it was running were more harmful to the lungs of volunteers than material captured when the plant was dormant.

Whenever we see a film by François Truffaut ("The 400 Blows" was directly inspired by "Germany Year Zero"), John Cassavetes or Mike Leigh, we are in some sense experiencing Rossellini's vision, his determination to cast aside refinements of form and style and penetrate to the heart of his human material, captured on the fly with all of its rawness and complexity intact.

The prosecution has had at its disposal, not only the record of German acts which was available to the Allied Governments before the end of the war, but also a great mass of documentary material captured in Germany, including minutes of secret conferences in which Hitler expounded his plans to a select circle of his colleagues.

To make the material capture rather than shed water, the researchers took another cue from the Stenocara beetle.

The segmentation mechanism in any such cry analysis system thus needs to be automatic and should be able to work with material captured in diverse recording contexts.

Additionally, instead of using the self-training method, other semi-supervised learning methods can be experimented with in order to improve the ability of the system to adapt to material captured in unseen acoustic settings.

We also propose a method for adapting the segmentation system trained on acoustic material captured in a particular acoustic environment to a different acoustic environment by using feature normalization and semi-supervised learning (SSL).