Sentence examples for non-deviation from inspiring English sources

Exact(5)

"Innovation is deviation," he said last year, "so non-deviation is non-innovation, and here you have the explanation for why there is no cure for cancer.

But in time we will see that this was a career fully lived, filled with volatility but somehow so densely predictable in its non-deviation from a mid-30s batting average.

However, as innovation is deviation, non-deviation is non-innovation, Lord Saatchi argues, and this means medical science does not advance.

Here, z n is the base point of the ionosphere and the value of E n is the field intensity at z n, which is determined by the effective radiated power (ERP) value and the non-deviation absorption of the HF pump waves.

10 Samples and SNPs were put forward for analysis if they met the following quality control filters: SNPs greater than 95% genotyping efficiency, minor allele frequency (MAF) >1% (failed Spanish n=271, Filipino n=758), non-deviation from Hardy-Weinberg equilibrium in controls on the basis of a false discovery rate of 0.05 (failed Spanish n=61, Filipino n=21).

Similar(55)

After testing for non deviation from Hardy-Weinberg equilibrium, respectively 305 (AIL_DD) and 332 (AIL_STI) markers were used for further analyses.

In both groups, non-permissible deviations were more common than permissible deviations (that is, toxicity and comorbidity); however, the proportion of deviations that were non-permissible was lower among patients who achieved remission compared with those who did not (8.0 versus 16.9%, P <0.0001).

Deviations were empirically categorised by the expert panel as follows: Minor or non-critical deviations that arguably would not result in direct patient harm.

These basic requirements are default properties rather than non-negotiables: deviations are possible and useful, provided they can be justified on scientific grounds.

Fluctuating asymmetry (FA), i.e. small, non-directional deviations from perfect symmetry in morphological characters, increases under genetic and/or environmental stress.

The optimization approach uses a derivative variation method to efficiently identify the optimization range through analyzing the first order derivatives of the optimized quantity and the non-linear deviation profile of the derivative value.

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