Sentence examples for measures for identifying from inspiring English sources

To assess the diagnostic value of PCT, IL-6, IL-8 and standard measures for identifying critically ill patients with SIRS and suspected sepsis, prospective measurements were taken in 78 consecutive patients admitted with acute SIRS and suspected infection.

The deliberations of LTS'09 included presentations and reviews of different approaches (algorithms, biomarkers, or measures) for identifying asymptomatic individuals at elevated risk for AD who would be candidates for longitudinal or prevention studies.

This study tested the ability of different measures for identifying changes in executive function and the effect of 6-months of aerobic exercise on executive function in older adults with mild to moderate AD, using a single-group, repeated-measures design (n = 28, age 78.1 ± 8.37).

Consequently, the same measures for identifying heterogeneity (cloning, mixing of multiple PCR reactions, see also below) can be applied for use in DNA barcoding.

We experimented with various measures for identifying "low-quality" sequence (see Materials and Methods), but settled on the relatively simple measure of the minimum quality score observed within a 5 base pair distance of the indel.

Therefore, measures for identifying and preventing cardiometabolic risk factors in shift workers are of great importance.

Second, the factor is specified as an observable and measurable 'construct' and a measure for identifying change in it will be selected.

Thus this study may be helpful for quick vulnerability assessment and adopting retrofitting measures for identified structures for earthquake prone developing countries.

The concrete goals of genetic testing and appropriate measures for identified mutation carriers are to identify these women and include them in surveillance programs enabling early detection and/or prevention of the occurrence of breast/ovarian cancer.

RQA was found to be a good measure for identifying unique fingerprint and signature of chaotic time series data.

A measure for identifying the physical significance of an outlier is designed, which is called cluster-based local outlier factor (CBLOF).