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For these reasons, we hope that our illustration of how sample- and participant-level scores changing under different scoring methods and data treatments is helpful.
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Second, for T-RFLP data, treatments were compared based on peak presence/absence, using clustering analysis based on Euclidean distance and complete linkage clustering.
Different data treatments were applied to data coming from all the used sensors.
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.
An experimental data treatment is introduced to manage with the tensile test responses of highly non-linear viscoelastic solids such as solid propellants.
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.
A final aspect of our data treatment is cross-talk between different view directions (sectors) of the instrument.
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.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com