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Experimental data were interpreted on the basis of a good agreement between experimental and theoretical results.
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Obviously, if all EFSM data are interpreted on finite domains, quantifier elimination is decidable.
The current of growth of silver clusters is measured and the data are interpreted on the basis of the theory of progressive nucleation.
The data are interpreted on the basis of a film-theory model developed following the procedure recently presented by Astarita and Savage [1].
The data is interpreted on the PC by powerful and robust signal processing algorithms developed by the team of Prof. Marc Van Hulle at the lab of neuro- and psychophysiology of the Katholieke Universiteit Leuven.
In previous studies, these data were interpreted based on 2-D models.
Data were interpreted through a pseudo-homogeneous model based on Danckwerts surface renewal theory and on continuous liquid-liquid equilibrium due to very fast liquid mass transfer.
Using SPSS, the data were interpreted.
The data are interpreted based on the standards provided by the manufacturer and the average micellar weight for each detergent.
Subsequently, the nature of the metabolomic data was interpreted by visualization on pathway maps using KaPPA-View4 and other statistical analyses.
Essentialists, Emergentists, and Externalists differ as much on how data is interpreted and used as on their views of how it should be gathered.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com