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A perturbation viscometer is a differential capillary viscometer that measures the logarithmic viscosity gradient of the viscosity composition curve for gas mixtures.
Perturbation viscometry is a recently developed method which measures the logarithmic gradient of the viscosity composition curve for gas mixtures using a variant of capillary-tube viscometry.
For each group of measures, the logarithmic transformations of cumulative payments received (comp, org, int, for) were used to estimate the policy impacts on HNV.
ApEn measures the logarithmic similarity amongst neighboring input patterns (those with a separation radius less than r) for m contiguous observations.
Finally, approximate entropy, or ApEn(m,r,N), is defined as the natural logarithm of the relative prevalence of repetitive patterns of length m as compared with those of length m + 1: ApEn(m,r,N) = Fm(r) - Fm+1(r) Thus, ApEn(m,r,N) measures the logarithmic frequency that similar runs (within the filter r) of length m also remain similar when the length of the run is increased by 1.
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Thus, we use ApEn to measure the logarithmic likelihood that similar patterns of data length (m) that are similar remain so within a tolerance (r) on the next incremental (m + 1) comparison.
We used ApEn to measure the logarithmic likelihood that patterns of data length (m) that are similar remain so within a tolerance (r) on the next incremental (m + 1) comparison.
To demonstrate that late quorum-controlled genes can still be activated in stationary phase using our engineered expression strains, and to confirm our microarray results, we measured the logarithmic and stationary phase transcript profiles of several quorum-controlled genes by real-time PCR.
We confirmed this entropic expectation for the nonspecific DNA complex by measuring the logarithmic salt dependence of the binding affinities at four temperatures, where the slopes of the log Ka vs log [KGlu] plots were indistinguishable at each of the temperatures.
Regional differences between groups in mRNA expression and PMI were assessed by two-way analysis of variance (ANOVA) for repeated measures after the logarithmic transformation to ensure normality of distributions and homogeneity of variances (verified by Kolmogorov-Smirnov and Levene tests, respectively).
To measure similarity, the logarithmic spectral distance between original and synthesized spectrum is measured as follows: (12).
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