Sentence examples for version we propose from inspiring English sources

This mechanism appears to be distinct from and to act in parallel with the Spectrin/Crumbs-mediated version we propose, because loss of Ajuba and overexpression of CrbExTM-GFP have an additive effect in suppressing tissue growth (Fig 5M O).

This almost certainly did not happen simultaneously and in the revised version we propose a more detailed scenario where isoprenoids (an ubiquitous type of molecule) were brought into the formation of membranes in a first step, to be followed by the formation of an ether bridge and then by the introduction of the sn2,3 conformation as a consequence of known properties of GGGPS.

In the preliminary version we proposed as a criterion for the indicator 'criteria or guidelines for notification' that guidelines should be present for five reference diseases for the monitor function.

Given the weight of the evidence for the equivalence between paper and electronic versions, we propose that equivalence studies should not be necessary to demonstrate the equivalence of validity of a measure that has been migrated to an electronic platform following best practices [ 7] with minor changes as defined in the ISPOR Taskforce report [ 7].

After revisions to address these issues we propose Version II of Codac with detailed coding instructions.

In this setting, we propose a version of RB that resamples residuals obtained from ridge regression.

In this paper, we propose a version management mechanism for impact analysis while components are upgraded.

Therefore, we propose reduced version of MW-PSNR using only these higher level subbands.

Thus, here we propose parallelized version of these conventional approaches by using MapReduce Framework.

Based on the results of PSNR performances calculated separately by pyramid scales, we propose reduced version of MP-PSNR using only pyramid images with higher PCC values of PSNR towards subjective scores.

Additionally, we propose a version of the method called SimBoostQuant which computes a prediction interval in order to assess the confidence of the predicted affinity, thus defining the Applicability Domain metrics explicitly.