Sentence examples for more stringent results from inspiring English sources

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When European banks have introduced new value-at-risk models to comply with additional Basel requirements, they have produced more stringent results.

Stabler's data were based on PCR product arrays which although provided higher signals as full CDS were printed, but were prone to cross-hybridization. Microarrays used by our group were 70mer-based spotted array that produced more stringent results.

More stringent results have derived from longitudinal studies.

First, in the two GC (or AU -insensitive quAU -insensitiveme of the codons or amino acids are actually sensitive to purine variation, both symmetry and uniformity are at work, and the narrower distributions appear to give more stringent results.

More stringent preclustering is not expected to yield more stringent results: The error rate of our specific amplicon pyrosequencing run was 0.6%, which is lower than the amount of variation we removed by preclustering.

The follow-up study had the main aim of determining the major outcome of RA, and was restricted to the patients having moderate high RA activity at baseline (DAS28 >3.2), in order to highlight more stringent results.

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Similar(53)

Furthermore, it may be argued that published results based on surrogate outcomes are more likely to be positive as the requirements for publication of such results are generally more stringent, whereas results based on (definitive) final endpoints are more likely to be published regardless of the trial's findings.

We in the non-Native American gaming industry face a regulatory system that is more stringent, which results in an unfair, anticompetitive marketplace.

However, this more stringent setting results in missing QTL2 and QTL4 (dashed lines in Figure  6) in the 16% pool, indicating that for this pool the signals of these QTLs are not very pronounced (minor QTLs in 16% ethanol).

However, clustering analyses of the raw data from our qPCR analysis did not yield robust results supporting this hypothesis (data not shown), and setting a more stringent threshold resulted in insufficient data for clustering.

Other combinations were exhaustively tested but more stringent cutoffs resulted in too few candidates whilst less stringent ones gave too many for our purposes.

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