Sentence examples for global mean values from inspiring English sources
The global mean values for different levels of the inflorescence were calculated.
In the following, all variables represent global mean values unless noted explicitly.
Each point represents a, c global mean values and b, d HN mean values of each dynamo simulation.
Variations in tumour phenotyping and intratumoural heterogeneity may also be assessed based on the combination of perfusion-related parameters (Table 2) [347]47], although the use of global mean values for perfusion parameters may underestimate the extent of spatial heterogeneity.
After the inter-institutional correction, specially normalized [99mTc]ECD SPECT images from each patient were compared with normal images from the age-matched database: ECD60-69y DB and ECD70y DB, using voxel-by-voxel Z-score analysis after pixel normalization to the global mean values [Z-score = ([control mean] − [individual value])/(control SD)] as previously reported by Minoshima et al. [21].
The high level of variation around these global mean values of explained variance is often associated with habitat types.
Use of global mean value for dimensions and mass of the copper disks of the calorimeters can significantly increase errors.
Each point represents the a global mean value and b HN mean value of each dynamo simulation.
One reason could be that the RC index, although derived from observatories located at different longitudes, provides a global mean value that cannot reflect potential local time and/or longitudinal variations of the magnetospheric ring current.
Analyses based on small numbers of cases revealed white matter tract signatures associated with particular genetic subgroups of bvFTD (mutations in MAPT vs. C9ORF72) after global mean value correction (Fig. 3 and Supporting Information Table III).
The data matrix is optionally double-centered by subtracting from each matrix entry the mean value calculated over the corresponding matrix row and the mean value calculated over the matrix column, followed by adding the global mean value computed over all matrix entries.
