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Real street data were chosen to evaluate the energy consumption.
The data from Well#A (1046 core and log data) were chosen to provide the training patterns.
Birth data were chosen to reflect the most etiologically relevant time period for brain development [ 27].
Conserved sequence stretches from this data set and from subsequently generated additional data were chosen to design gene-specific generic RT-PCR primers (Additional file 2).
A total of 14 genes with relevant expression profiles from the Oligo array data were chosen to be validated by RNA gel blot analysis.
Previously described [ 36] RNAseq data were chosen to match the genetic background and approximate age of mice used in our experiments.
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In addition, to confirm the results were not biased due to difference in sample sizes (one hundred (8.5 min) datasets in human vs. five to twenty-five (30 min) datasets in NHPs), the same functional connectivity analysis using TC-ICA was applied for a subset of human subjects (N = 18, 18 (8.5 min) data were chose to resemble 5 (30 min) worth of data in NHPs).
About 75% of experimental data are implemented for validation of correlation, and the remains and non-repetitive data are chosen to test the new correlation.
In this section, an actual coal seam with log data and fracturing data is chosen to study the relationship between the induced stress and the bottom hole pressure.
This data is chosen to represent the result of El Kossier when it works on Arabian-Gulf-US trade area in the year 2018.
Oxy-Hb data was chosen to examine event-related response in the PFC since it is an optimal index for changes of regional cerebral blood flow [65].
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CEO of Professional Science Editing for Scientists @ prosciediting.com