Sentence examples for a common sensitivity from inspiring English sources

It is interesting to note that both of these mutants display a common sensitivity to t-BuOOH, and that Δ pph-4 is also sensitive to menadione.

A common sensitivity measure is the partial derivative of the probability of failure with respect to the design parameter.

The results have shown a common sensitivity to certain attributes, and a different or contrary sensitivity to others.

They may also have a common role in malignant cells, as evidenced by a common sensitivity to HXR9 and in similar transcriptional responses, including the upregulation of cFos.

When there are missing outcome data in a randomised controlled trial, a common sensitivity analysis is to explore "best" and "worst" case scenarios by replacing missing values with "good" outcomes in one group and "bad" outcomes in the other group.

There is no a-priori reason for expecting the averages to be the same in and outside the region, so we multiply the results by a common sensitivity parameter, k2, which can be varied in regressions with health data to check the importance of the default assumption that the averages are the same.

The project began when Peter heard the song Don't Laugh At Me - and realized the song could become an anthem of a movement to help children find their common sensitivity - to the painful effects of intolerance, ridicule, and bullying.

To make a common consensus sensitivity analysis of the model and groundwater contamination analysis are carried out.

Hence, calculating a common underlying sensitivity and specificity of SimpliRED D-dimer might not be possible with the currently available data.

In a different approach, no gold standard was designated [9] and the evaluation was done according to the methods described by Hui and Walter [15] that assumed a single, true but unobserved prevalence for each study and common sensitivity and specificity of each diagnostic test across the group of studies [9].

To address this, a common follow-up phase was conducted, which improved study overlap, as well as facilitating an examination of non-common baseline measures through triangulation (i.e., assessing phenomena or checking assumptions in multiple ways), by gauging the strength of association and common sensitivity of baseline measures by directly assessing their commonalities at follow-up.