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Genetic and metabolic engineering approaches are powerful tools for improving the tolerance of maize to abiotic stresses because they are faster and can afford greater control over agronomically useful traits.
Pseudo-spectral approaches are powerful tools that are frequently employed in various fields of numerical analysis.
Both of these approaches are powerful and flexible, permitting the inclusion of a range of information including atom-mapping.
Genetic and molecular approaches are powerful tools in the identification of a multitude of genes involved in abiotic stress response and tolerance.
While these newer approaches are powerful, they nonetheless only allow researchers to discern between two general alternative scenarios: the presence of a single panmictic "population" or two or more genetically differentiated groups.
Although such genotypic approaches are powerful and in most cases are able to bypass to some extent the need for bacterial culture, the assays typically require species and/or strain specific probes that may or may not be available for a particular organism.
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Dinu et al. [ 24] compared the type I error rates and powers for the three methods and concluded that LCT approach is powerful and computationally attractive.
The approach is powerful, she says, because it allows her team to manipulate neurons quickly, at the same speed at which they'd normally converse.
Such a top-down approach is powerful and mostly aims to replace or supplement the functions of liver, ignoring the fine anatomical structures of the liver tissues.
But its employer-first approach is powerful for a number of reasons.
Though the computational cost of the decoder is added, it is known that this approach is powerful for problems having complicated constraints.
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