Sentence examples for straightforward different from inspiring English sources

For simplicity, we assume identical sampling intervals in both coordinates, but using different sampling intervals for each coordinate is straightforward (Different sampling intervals influence the accuracy of the field approximation only but not the principal features of the decentralized estimator).

Of course, merging subject domain theory components may not be straightforward; different theories may use different symbols for describing the same concept, or may use the same symbol with different meanings.

Comparing imperceptibility results with results achieved by other algorithms is not straightforward, since different authors use different evaluation metrics.

Discrimination of coding and non-coding transcripts is not straightforward, and different laboratories are using different methods.

Also, as we note in the text, direct comparison with other GSK-3 studies is not straightforward because different groups have used different substrate sequences, most of which are processive (i.e., multiple phosphorylations at successive n-4 sites).

Comparison of the distributions inferred from these studies is not always straightforward, as different methods can assume quite different parametric distributions to model the underlying DFE.

The choice of the best family of descriptors is not straightforward: many different approaches have been introduced and effectively used in different academic fields, but the best strategy in the context of soft biometric estimations does not emerge from the literature.

Measurement of 'limb length' in dogs is not straightforward, since different conformations of dog will stand with the joints at different angles, therefore we measured tibial length as a surrogate that would accurately represent the range in size of dog in each group.

By the second episode the premise is less enigmatic and more straightforward: a different undercover detective crosses the line between his cover and his real life, putting himself and the entire operation at risk.

This process is however not straightforward and different factors such as requirements management, marketing issues, etc., must be taken into consideration.

Prototype junction microarrays interrogate known human genome junctions and enable characterization of alternative splicing events; however, the analysis is not straightforward and different methods can be used to estimate junction-specific alternative splicing events (some of which can also be applied for analyzing RNA sequencing junction-level data).