Sentence examples for selective retrieval from inspiring English sources

Exact(7)

But fundamentalists teach that there was that perfect moment, and in their selective retrieval they go back to that perfect moment.

Evidence here comes from demonstrations of selective retrieval and recaching of food items under experimentally controlled conditions.

This identifies a novel role for MEK/MAPK-mediated cytostatic factor (CSF) activity during meiosis in membrane protein trafficking in mouse oocytes, and shows for the first time that selective retrieval of membrane proteins is a feature of meiosis in mammalian oocytes.

Figure 2A shows an example of the highly selective retrieval of both tissues from naïve and EAE brain specimens.

This observation is in part due to the selective retrieval of published reports in English or German from bibliographic databases, but also due to underreporting.

The combination of ribosome profiling (Ingolia et al., 2009) together with selective retrieval of SRP complexes (del Alamo et al., 2011) should permit the mapping of all SRP-containing RNCs.

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Similar(53)

This is where three F.B.I. engineers took pieces of commercial software and modified them in an effort to allow the kind of selective data retrieval that the law requires, and where they have worked to upgrade the system in response to the criticism of Carnivore.

In this study we focus on the technological approach considering each and every individual's interests, preferences and expertise in order to provide selective information retrieval and access, thus expediting the acquisition of desired and relevant information.

The P2P file searching system implementation, particularly in a network of mobile nodes, poses: (a) the percentage network area scanned and (b) the selective file retrieval from a set of file bearing nodes as the biggest challenges.

There is an associated interactive software for presentation of microarray data, displaying data as tables, charts, or "matrices," selective data retrieval, filtering, sorting, and deep mining of every data point.

Existing named entity recognition approaches are not sufficiently selective for the retrieval of biomarker information from the literature.

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