The phrase "are consistent when the" is grammatically correct and can be used in written English.
It can be used in contexts where you are discussing the reliability or uniformity of something under certain conditions.
Example: "The results of the experiment are consistent when the same methodology is applied across all trials."
Alternatives: "remain steady when the" or "are reliable when the".
Their actions are consistent when the fragments are received in reverse order (test case 10).
This confirms that our experimental results are consistent when the network is exposed to higher load that is close to or exceeds its capacity.
Furthermore, as shown in Fig. 4, the depths of the nanogrooves scratched in all directions are consistent when the scratching velocity is less than 5 μm/s, while the depth of the nanogroove machined in direction V 3 becomes much smaller than the machined depths obtained by other directions with scratching velocities larger than 5 μm/s.
These peaks correspond to SNP fragments which are inconsistent with statistically phased haplotypes and are consistent when the SNP fragment changes the derivation to another haplotype.
Indeed, we found that the parameters defined by our initial grouping analysis (which are consistent when the set of 21 isolates is grouped) were sufficient to reasonably predict the murine virulence of an additional set of C. albicans clinical isolates.
Furthermore, previous studies have not explored whether any identified ethnic differences during pregnancy are consistent when the mother's, her partner's and both of their parents' country of origin are taken into account.
We show that, in general, maximum likelihood estimators will not be consistent when the random-effects density is misspecified, and the effect of misspecification is likely to be greatest when the true random-effects density deviates substantially from normality and the number of noncensored observations on each subject is small.
The obtained MLE to our source localization problem is consistent when the number of sensor nodes in any non-negligible open subset of Λ = [ a 1, a 2 ] × [ b 1, b 2 ] × [ c 1, c 2 ] ⊆ R 3 and time samples go to infinity.
This result was consistent when the datasets were compared between time points, with ∼50% of mid-bloom transcripts being homologous with ∼90% of post-bloom transcripts (Table S3).
Further, the above results were consistent when the communities were non-randomly (Fig. 3 and 4) or randomly assembled (Fig. 5).
This result is consistent when the data are analyzed in toto as well as when various regions of the gene are analyzed separately with a statistically robust, sliding-window approach.
