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It was thought that the prevalence of dizziness would be 100%% in the sample, but this was not the case.
The value of this parameter is always higher in S2 than in S1 sample, but this difference decreases when concentration rises.
The intensity of this peak was also enhanced in the powder sample, but this is likely due to an overlap with a MnTe peak located at 28.2°.
That's still a small sample, but this is the first time researchers have managed to create a system like this that works in a clinically relevant setting.
In principle, could depend on the entire signal, and not only on the samples corresponding to the output sample, but this possibility has received little attention in the literature.
An infrared (IR) spectrum of the samples exhibited a weak water absorption band (shown later for the deformed sample), but this band easily disappeared after heating to approximately 100 °C.
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This supposes a relatively uniform distribution of abundances across the entire sample, but if this assumption is false, the results might be even more interesting.
Nonparametric bispectrum estimation usually uses more data samples, but this approach can reduce the estimation variance and improve accuracy.
Hence, there was unrestricted heat and vapour loss at a solid/vapour interface for unrestrained samples, but this is not true for samples which were restrained.
The ZnMnO3 XRD peaks were also detected in GIXRD spectra of these samples but this phase was not registered in micro-Raman spectrum obtained from C2 samples.
Such problem is much more frequent in Sanz style samples, but this seems to be due to the worse conditions of the scores that use this notation style.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com