Sentence examples for measures normalization from inspiring English sources

In contrast to the lack of an effect on absolute metabolic measures, normalization of metabolism by whole brain, revealed relative decreases in several brain regions with exposure to the cocaine-cues video as compared to the neutral video.

For the other measures normalization did not have an effect.

The scheme measured (normalization phase), attuned (database for patterns) and approximated (via data mining techniques) the RSSI values irrespective of the hardware devices to counter the effects of doors and walls on RSSI.

"We will bring more detail on the settlements and on our approach to addressing two states, and they will bring what they expect to get from the Arab world, meaning measures of normalization, and from the Palestinian side steps on security and moves to end incitement," he said.

However, these measurements were performed at just one time point, and not compared to other independent measures of normalization.

The quality control measures and normalization procedures described above were utilized.

It is not clear which combination of measures and normalization approach are most useful for AD classification and to predict mild cognitive impairment (MCI) conversion.

To analyse anti-correlation using rank-based measures, some normalization such as taking percentile of PCC rank or MR may be useful to standardize the measures from zero to one.

We tested the tree generated using different linkage measures after normalization of the mean expression matrix and found all the trees to be very similar with the cophenetic correlation coefficient greater than 0.9.

The long tails of a lognormal distribution can result in flies in the same conditions having TA varying over a range of 4. This high variability increases standard errors for each compound measured, unless normalization is done.

Therefore, the χ measure incorporates normalization by the average of all images, and the modulation measure scales the images by their standard deviations, allowing for more robust classification schemes.