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Subsequently, we performed cluster analysis on the basis of morphological variables obtained from 22 rigorously identified interneurons and their passive and active membrane properties (Fig. 6B).
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Morphological variables were obtained from the same DTM used to perform the subdivision of the study area into slope units and included statistics of the elevation and of the slope.
Table 1 summarizes the pharmacokinetic variables obtained.
The variable obtained was the tapping number.
To obtain normality and homoscedascity, arrival date, all flight measures and morphological variables were log transformed before entering them in the statistical analysis.
The role of morphological variables has also been studied adding to the chemical data set by the morphological data.
To describe the morphological dynamics of vitrified/warmed blastocysts and to identify quantitative morphological variables related to implantation.
This result confirms the importance of the morphological variables for soot discrimination.
In fact PC2 and PC1 separate morphological parameters from chemical ones and they contribute to separate the morphological variables in the two different clusters highlighted before.
Results showed that plot vigour modelling based on these three morphological variables may be relevant.
These results highlight again the importance of morphological variables for carbonaceous particles discrimination and in particular for soot particles.
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