Sentence examples for invalidating factors from inspiring English sources

The Court analyzes the "neutrality" and the "general applicability" of the Hialeah ordinances in separate sections (Parts ___ II-A and ___ II-B, respectively), and allocates various invalidating factors to one or the other of those sections.

Because I agree with most of the invalidating factors set forth in ___ Part II of the Court's opinion, and because it seems to me a matter of no consequence under which rubric ("neutrality," ___ Part II-A, or "general applicability," ___ Part II-B) each invalidating factor is discussed, I join the judgment of the Court and all of its opinion except ___section 2 of Part II-A.

We also need to be aware that changing attitudes and behaviors (i.e., exogenous factors) could invalidate today's prevailing wisdom about security in the future.

However, there was no differential bias by educational level or any other variable analysed; hence, this does not invalidate the results regarding factors associated with overweight in children.

This invalidates many risk factor analyses performed in the past.

Although a small percentage of genes supported the existence of heterogeneous variances, these results do not invalidate our Bayes factor approach, given that a substantial increase in false positives is expected when the number of replicates (arrays) per analyses is small, a typical phenomenon in microarray data sets.

These factors are confounders, invalidating the observation that kallistatin levels were altered by severe CAP alone.

Factors that can Invalidate the MSLT.

Unfortunately, such an assumption no longer holds in anisotropic networks which can be commonly found, and this assumption can be invalidated by a variety of factors: obstacles, resource limitation, sparse and non-uniform node distribution, irregular radio propagation pattern, and irregular regions [14].

We considered three major confounding factors that would invalidate the interpretation of genetic hotspots as centres of origin: admixture, recent population declines, and population substructure.

Failings in model theory or logic, inaccuracies in model parameters, or omission of key factors can all invalidate results [ 9].