Sentence examples for conceptual differences and from inspiring English sources
The method is able to highlight common and uncommon solutions, and to show conceptual differences and similarities between different embodiments, irrespective of the engineering solutions chosen by the designer.
The differences are connected to different epistemological approaches, which partly lead to fundamental conceptual differences and focuses of resilience.
Letting alone the conceptual differences and the benefits of the embedding approach, our framework would allow to analyse extreme ultra-relativistic regimes and is experimentally simpler than current proposals.
Especially on reaction level the comparison is clouded by several conceptual differences and technical difficulties.
If the conceptual differences and technical issues we identified would be resolved the overlap will increase.
Most of the variation in sensitivity of orthology predictions can be explained by conceptual differences and incomplete datasets.
While many conventional scientific publishers are doing similar things today, Ginsparg said, the arXiv still has an "extraordinary conceptual difference" and is vastly less expensive than conventional publishing.
This study also revealed the close algebraic relationship and conceptual differences between ES and SRM estimates, which is consistent with an earlier report by Zou [ 19].
In particular, divergent findings may not only originate from differences in the employed methods and in conceptual differences between anatomical and functional connections but also from evolutionary changes between, e.g., macaque monkeys and humans (for a detailed discussion cf. Eickhoff et al. 2012, b; Tomassini et al. 2007).
The methodological and conceptual differences between r8s, BEAST, and some other methods available today for molecular dating have been reviewed by several authors [ 12, 14, 22- 24].
We described the conceptual differences between mixed and marginal beta regression models and compared both models to the commonly used linear mixed model in terms of overall fit and predictive accuracy.
