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The combination of the commensurable difference measures into a joint spatiogenetic measure d sg of difference between individuals ought to consider (1) the proportion to which the spatial and genetic component contributes, and (2) the degree to which both components differ in their contributions.
So we economize on the use of water by using low cost drip irrigation application systems, and creating breakthroughs in lowering filter friction, pipe friction, and pump energy losses through a system design approach in which each component contributes optimally to the efficiency and affordability of the total system.
The M2 component contributes to base flows during L1 regime.
This coefficient indicates how much each principal component contributes to the representation of the given attribute.
The location dependency of the biggest connected component contributes to two aspects in network design.
It remains unclear whether the progestin component contributes to these changes.
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These findings imply that only the narrow component contributed to the gas permeability.
Computerized analysis is an important component contributing to reproducibility and efficiency of the quantitative imaging techniques.
The first component contributed as 49.1%, second 18.4%, third 9.3% and fourth 8.7% variability of the data.
As we mentioned, a group of inter-related classes of this component contribute to the same problem.
However, as all features were combined, it is not possible to determine which component contributed most to the effects observed.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com