Sentence examples for sensitive to deviations from inspiring English sources

The PBOC is probably more sensitive to deviations from its targets than to turbulence in the markets.

In the nanometer range they are sensitive to deviations from the ideal periodic straight line structure such as LER.

At the same time, much of the equipment causing the disturbances is quite sensitive to deviations from the ideal sinusoidal line voltage.

The discrete policies with small numbers of stages (less than ∼six) perform much more poorly than the continuous policies indicating that the copolymeriz reactor is much more sensitive to deviations from optimality than batch reactors operating with other reaction schemes.

Our previous Delphi study identified several audit filters considered sensitive to deviations in prehospital trauma care and potentially useful in conducting performance improvement, a process currently recommended by the American College of Surgeons Committee on Trauma.

An investigation of the Freundlich, Langmuir and Dubinin Radushkevich equations reveals that calculations of mixed-gas equilibria are very sensitive to deviations of these equations from the single-gas adsorption data.

GSHP system performance is however highly sensitive to deviation from design values of the actual annual energy extraction/rejection rates from/to the ground.

Because fabrication of laminates is sensitive to deviation of eigenstrain magnitudes, as shown from stochastic study, an additional minimization of the eigenstrains is introduced.

As the estimation of genetic parameters is highly sensitive to deviation from this assumption (Walsh 2008), we tested a subset of the families with genetic markers.

In this case study, KS test and Inverse chi test were more sensitive to deviation from uniformity as the tests became significant after 5 and 4 SNPs removed respectively (Table 2).

Although the F-test is simple and is widely used to quantify differences in variance, it is sensitive to deviation from the normality assumption or presence of outliers (e.g. unexpectedly higher or lower expression values from one or two samples).