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Despite fragilities of curve fitting methodologies, this approach therefore continues being widely used, due to its simplicity and relatively low data requirement.
Among other methodologies, this approach has been commonly used as an approximation to estimate LE, mainly over large semi-arid areas with uniform landscape features.
Unlike whole genome sequencing methodologies, this approach does not rely on the analysis of complete biosynthetic clusters.
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Adopting a defect-oriented methodology, this approach maximizes the fault coverage while minimizing the silicon area overhead and test time.
When computer simulation is the main methodology, this approach is often referred to as in silico.
We selected reports that met our inclusion criteria, regardless of publication status, language and trial quality using a systematic research methodology; this approach has been shown to minimize potential selection and publication bias and lead to more reliable conclusions[ 36] We made every effort to conduct our review and report its results with the highest rigour.
Three of the commonly used methodologies for this approach are the Normalized Spectral Abundance Factor (NSAF), the Power Law Global Error Model (PLGEM), and the Normalized Spectral Index (SIN) (Table 2 ).
Even though more work is needed to fully understand the precision and accuracy as well as the possibilities and limitations of the methodologies used, this approach will allow for gene expression studies in non-model species of evolutionary and ecological importance.
The methodology of this approach is quite general and is described in detail in references [5, 15, 20].
For further work, a new methodology combining this approach with the other optimization methods, applied to the big data, especially in the road prevention needs to be developed.
The method of verstehen (understanding) makes a methodology of this approach; it invites the thinker to engage in an active construction of the meanings and intentions of the actors from their point of view (Outhwaite 1975).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com