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Technical and methodological advances such as multi-configuration radar and forthcoming SAR constellations are increasingly mitigating the shortcomings of SAR with respect to soil moisture estimation at the field and catchment scale.
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Such methodological advances increase the ability to quantitatively evaluate what if questions in the form of scenario analyses, the latter being a prime tool of uncertainty assessment (Walker et al. 2003).
Recent methodological advances in high-throughput technologies such as Taq man-real-time PCR and Golden gate technologies for SNPs genotyping will likely facilitate future genotyping studies.
Methodological advances are required to effectively analyze such large amounts of data.
Here we have acknowledged the methodological advances in meta-analyses from which such evidence has been drawn, while drawing attention to the problems surrounding them in this particular area.
Recent methodological advances in NMR spectroscopy have rendered such previously 'invisible' states (also referred to as excited states in what follows) amenable to structural analysis so long as they exchange with a 'visible' (ground) state, are populated at a level of approximately 0.5% or higher and have lifetimes ranging from 0.5 20 ms (Palmer et al., 2000; Sekhar and Kay, 2013).
As these examples illustrate, we welcome the submission of significant technological or methodological advances, including genomic or other datasets (such as brain atlases), collections of biological resources, software tools, and so on, especially when linked to examples that demonstrate their broad utility.
As such, continued technical and methodological advances will likely improve SPECT/CT image quality, consistency, and quantification.
Such studies will benefit from the methodological advances presented in this paper, namely within-session assessment of light-induced brain responses, which provide a fast, reliable technique to characterize light-induced brain responses.
The research community is fortunate to have a growing methodological armory with which to fight these battles, including technological advances such as next-generation sequencing (Williams et al., 2009), alongside an ever-expanding experimental toolkit for functionally dissecting brain circuitry (Arenkiel & Ehlers, 2009).
With technological advances in fields such as genomics (and other -omics sciences) and methodological advances in bioinformatics, we can begin to discover the genetic details of phenotypes, including the number of genes underlying a particular trait [15], [16].
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