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Our evaluation suggests that experimental variability is small.
Our evaluation suggests that these provisions will significantly change behavior, increase compliance costs and alter the legal landscape.
Our evaluation suggests that utilizing drug gene disease triangulation coupled to sophisticated text analysis is a robust approach for identifying new drug candidates for repurposing.
Our evaluation suggests that reducing LiDAR point density is a viable solution to regional-scale forest assessment without compromising the accuracy of biomass estimates, and these estimates can be further improved using development density.
In conclusion, our evaluation suggests that guidelines from professional gynecological and cancer societies and organizations have substantial room for improvement.
Our evaluation suggests that our evidence-based DEPgenes might serve as a useful and promising gene source for investigators to further explore the underlying pathophysiology and biological mechanisms for depression.
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The results of our evaluation suggest that adopting this airline-driven approach in designing the GDPs consistently and significantly reduces airport-wide delay costs compared to the state-of-the-research centralized approaches.
This feature might be an artifact of data bias: (1) cancer genes might have been studied more by investigators regarding fighting cancers; and (2) although our evaluation suggested SZGenes may be useful, there are likely more false positives in SZGenes than cancer genes and these false positives tend to be non-disease genes [11].
The results of our evaluation suggest a fair feasibility of the theatre in education lecture.
Our evaluation suggested that DE-based methods could also effectively prioritize the genes responsible for host resistance to influenza.
Our evaluation suggested that electronic automatic lamb feeders are tools that can provide, on a large scale, data describing the feeding behaviour of artificially reared lambs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com