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The method consists of (1) immobilizing the moving boundary by Landau's transformation, (2) using the normalized position of the moving interface to replace the time variable, and (3) applying regular parameter perturbation techniques.
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Fig. 6 Superposed epoch analysis of Dst index and trough position for the four categories of magnetic storms using the normalized time line.
Fig. 5 Superposed epoch analysis of Dst index and trough position for moderate (a) and intense (b) storms using the normalized time line.
Fig. 4 Superposed epoch analysis of Dst index and trough position for CIR (a) and ICME (b) storms using the normalized time line.
Passive highpass filters are designed using the normalized lowpass model.
We next performed the same analysis using the normalized library.
The sample similarity was measured using the normalized Euclidean distance.
To estimate the coevolution within the residues in the usher TD, we used the normalized mutual information (NMI) (Martin et al., 2005) over all position pairs in the multiple sequence alignment obtained as described above.
We used the normalized expression values from the database.
We used the normalized data set.
We used the normalized connectivity measures in the statistical analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com