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The initiative was started in 2001 after oil-consuming countries called on producers to address the lack of readily available data, a factor that was seen as exacerbating price fluctuations.
Moreover, in a previous study on Swedish PISA data a factor representing unique aspects of digital reading, nested within an overall reading factor, was identified (Rasmusson and Åberg-Bengtsson 2015).
This was accomplished after the removal of regions of heavy rain from the data, a factor that gives inaccurate wind readings.
Using the microarray data, a factor was calculated based on the variability of the gene expression data and the mean intensity of each gene across the panel of cell lines.
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We calculated APC and BPC densities from the aboveground and belowground phytomass data using a K A factor of 0.45 and a K B factor of 0.40, respectively58.
Unfortunately, protein sequence data exceed structural data by a factor of more than 200 to 1.
Furthermore, relational databases support structured data by imposing a strict schema; however, data growth is currently driven by unstructured data by a factor of 20 1 (Karmasphere [5]).
In the analysis of the example data set, we investigate different genetic models for multi-environment data with a factor analytic variance structure.
The middle image is reconstructed after upscaling the projection data with a factor of 12, and the right image is reconstructed after upscaling the projection data with a factor of 100.
In contrast to the EFA where the factor structure is dictated by the data, a confirmatory factor analysis (CFA) tests whether or not the data fits a predefined factor structure.
We reduce the spatial resolution to 8 mm per voxel, and downsample the input data by a factor of 40.
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