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We used descriptive statistics (mean ± standard deviation) to characterize samples.
A series of various methods were applied to characterize samples of pharmaceutical pellets.
Laser beam scattering technique, scanning electron microscopy and X-ray diffraction analyses were carried out to characterize samples.
We also aimed to molecularly characterize samples of Cryptosporidum spp. isolated from synanthropic rodents using these probes.
Advances in high-pressure science rely critically on continuous technical developments and breakthroughs for new probes to characterize samples in situ under extreme conditions.
An attempt was made to characterize samples using micro x-ray diffraction to precisely identify the mineralogical assemblage of the rock varnish.
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Further, scanning electron microscopy (SEM) coupled with energy dispersive spectrometer (EDS) was used to characterize sample surface morphologies and compositions.
In addition to characterizing sample networks via the connectivity and the clustering coefficient, it is also possible to characterize sample networks using additional network concepts.
Such behavior characterizes samples as an electric double layer capacitor with a negligible contribution of the pseudocapacitance.
BB and JJBCvB provided and characterized samples.
R.M.V. prepared and characterized samples, optimized them for EM analysis, and collected data.
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