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The increasing interest in hormones among field biologists can be frustrating because of the difficulties of applying classical endocrinological methods to natural settings.
Recently, attention has shifted from ML methods to natural language processing (NLP).
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When applying the method to natural earthquakes, however, evaluating the level of pore-fluid pressure is more difficult.
Natural glass samples (melt inclusions) have reflectance spectra similar to the synthetic glasses, which encouraged the application of the reflectance FT-IR method to natural samples.
These aspects can be visualized and depicted by applying a new spatio-temporal analysis based Landscape Heterogeneity Mapping (LaHMa) method to natural and semi-natural landscapes.
However, to date, application of this method to natural samples has been very limited (Larsen 2008); this is because the intensity of the reflectance signal related to water absorption is generally much weaker than that observed in a transmittance spectrum.
Application of the proposed method to natural gas reforming based hydrogen production, identifies intensified process designs featuring hot utility costs that can be lower by over an order of magnitude to those of traditional designs.
Finally, we applied this method to natural Microcystis blooms at four freshwater sites, and found the dominance of Group-1 in three blooms and of Group-3 in one bloom, thereby showing the geographically uneven distribution of Microcystis genotypes.
Together, these are the fundamentals of applying the scientific method to natural resource management (Parsons 2004).
However, before applying this method to natural reading situations (i.e., sentence reading), it must be shown that analysis of fMRI responses from self-paced fixations is sensitive enough to identify activation differences between reading material (e.g., words) and nonreading material (e.g., line strings).
Because of these disparities between naturally occurring and commercially available chemistries, several new methods to chart natural product chemical space have been described [28 32].
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CEO of Professional Science Editing for Scientists @ prosciediting.com