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After suitable data set transformations have been applied, the statistical validation tests have confirmed the transformed data set normal probability distribution hypothesis.
In order to compare the performance of the selected algorithms, the first step required is the construction of a suitable data set.
The first step is to set up a suitable data set for the analytics which consists of all user permission assignments (UPA) and a set of contextual data concerning permission activations aggregated per day (see Fig. 6).
In this paper several combinations of mixtures are studied, varying the amount of RAP, the type of new binder and the testing temperature in order to obtain a suitable data set for the development of a framework for characterizing clustering of RAP during mixing hot recycled asphalt concrete based on the parameters mentioned above.
EISCAT data have already been used to constrain thermospheric density models at high latitudes (Bruinsma et al. 2003), and EISCAT_3D is expected to provide an even more suitable data set for this purpose, due to its considerably enhanced temporal and spatial coverage.
Therefore, we need to define suitable data set variations.
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Despite the paucity of suitable data sets, a range of different tests were designed to make best use of available data and to examine the model's ability to compute cropland suitability, extent of cropland area, and location of deforestation.
The methodology can only be followed where suitable data sets with task and educational requirement data are available and where cell sizes are reasonable at least at the three-digit level; accordingly, while the classification can be applied to any contemporaneous data that includes the same occupation codes, the classification methodology is specific to each task-based data set.
However, there have been few attempts to fit MSFRs to field data because of the technical difficulties involved and because there is a widespread belief that no suitable data sets are available [28].
Further suitable data sets - such as sentinel data of other influenza seasons or mortality data - should be identified for challenging the proposed influenza model for gaining more certainty that the presented model captures influenza dynamics reasonably well.
We agree that analyzing data from multiple tissues in the same individual would be highly informative and we are actively looking for suitable data sets, which are not available at the moment.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com