Sentence examples for data that differ from from inspiring English sources

We take fragmentation into account yielding data that differ from strictly uniform by the randomness of the fragmentation process.

y Indicates data that differ from the standard definition or refer to only part of a country, but are included in the calculation of the regional and globalaverages.

y Indicates data that differ from the standard definition or refer to only part of a country, but are included in the calculation of regional and global averages.

This dynamics open new avenues in the analysis of neuroimaging data that differs from common methods based on the hemodynamic response function.

A feature of the 2D data that differs from prior reports is the substantially increased time allocation over the low-frequency portion of the frequency sweeps that was shown by some rats under the influence of cocaine (e.g., Figs. 6a,9,10); this effect was greatest at the lower price.

The asterisk indicates the estimates for the reduced-age data that differed from those obtained with random subsamples.

*1 adjusted [Ca](mmol/L) = total [Ca](mmol/L) + 0.012 (39.9 - [albumin](g/L)) *2 adjusted [Ca](mmol/L) = total [Ca](mmol/L) + 0.02 (40 - [albumin](g/L)) We derived an albumin-adjusted calcium equation using local laboratory data that differs from those previously published.

First, the estimates are mostly taken from data that differ in sample size; e.g. larger data sets are frequently accessible in later publications using the animal model technique.

Data were discarded if (a) changes in tumour pO2 were associated with reflex movements of the host mouse, (b) tumour pO2 did not drop to 0 mmHg after killing of the host mouse or (c) the probe calibration at the end of an experiment gave data that differed significantly from the precalibration data.

The second assumption, however, states that outliers are a set of data with behaviors that differ from normal data.

However, the introduction of new data that differs from previous data may reflect either aleatory or epistemic uncertainty.