Sentence examples for transformations necessary for from inspiring English sources

Analysis of the slopes of the strain-stress curves just missed the significance niveau, which is likely due to the complex mathematical transformations necessary for this analysis.

However, the significance niveau was missed (p = 0.09), which is likely due to the complex mathematical transformations necessary for this analysis.

Not only are sensorimotor transformations necessary for computing the patterns of muscle activation and kinematics during action observation but they provide potential answers to the development, correspondence and control problems.

Although it may elucidate better the causal transfer of "information" along the pathways, it seems less appropriate to describe the energetic content of the biochemical transformations necessary for the propagation of the signal than the stoichiometric level which we use in this paper, see Supplementary Notes in Additional File 1 for a more detailed discussion.

Higher education can be instrumental in bringing about the kind of transformation necessary for a workforce which can guide DRM at all levels, with the ability to deliver high quality low cost DRM programs across the globe.

Initial formation of pro-metastatic cells predisposed to successful accomplishment of metastatic cascade is commonly associated with epithelial mesenchymal transition (EMT)— a morphological transformation necessary for escape from the primary tumor and subsequent invasion and metastatic growth.

The use of XML as an intermediate data format, and of SQL and XSL as the declarative languages for expressing the queries and transformations necessary to publish database content for multiple devices, are also reviewed.

The same logic applies to the implementation of the Paris agreement on climate change and the investment needed for the energy transformations necessary to keep global temperature rise between 1.5 and 2 degrees Celsius.

To estimate independent contrasts, branch lengths were used as estimated by MrBayes; branch length transformations were necessary for group size (Lack of fit test p < 0.05) and were exponentially transformed.

Data transformation is necessary for learning algorithms, since it prevents the algorithm from accentuating the variables with bigger data.

In general, the transformation parameters, necessary for an optimal coregistration, are not predictable and, thus, also the magnitude of the interpolation effects is not predictable.