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The above-discussed publications dealing with isotope ratio determinations from transient signals illustrate well that data treatment is a crucial step.
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A protocol for data treatment is proposed and applied to a XPS study of the degradation induced by X-ray on high-density polyethylene surfaces modified by direct fluorination.
Unless prior data treatment is used to extract a moving signal in terms of its position alone (cf. Ref. [6]), PCA does not allow us to follow signals as they move, i.e. change chemical shift.
A final aspect of our data treatment is cross-talk between different view directions (sectors) of the instrument.
Therefore, ANNs application in data treatment is especially important where systems present nonlinearities and complex behavior.
The purpose of data treatment is to evaluate these matrix functions, which belong to the form pn (A M−1, where A=M−1K.
The data treatment is based upon statistical concepts.
(2) Data treatment is applied on the data files to remove outliers and erroneous values.
Data treatment is applied on the data files to remove outliers and erroneous values.
The issue of data treatment is one that no one has really figured out yet, and many developers are doing their best to work with cities and users to find a reasonable solution.
All data treatment is implemented according to national data security law.
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