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This second method can describe both normal and nonnormal data distributions and provides limited information regarding microvascular heterogeneity.
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It uses forward and backward error analysis with improved bounds for normal and nonnormal matrices.
There exist two kinds of cones: normal and nonnormal cones.
All the results were analyzed by the Kolmogorov Smirnov test for the determination of the normal and nonnormal data distributions.
Post hoc multiple comparisons were adjusted using Bonferroni test or Dunnett's test as appropriate for normal and nonnormal distributed data.
Both normal and off-normal process scenarios are modeled.
Both normal and off-normal loading conditions have been analyzed.
Both normal and sinusoidal hover are considered.
Given the disruption, resistance is both normal and natural.
Interest centers on explaining both normal and abnormal experimental studies.
It is an integration of both normal and dark matter.
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CEO of Professional Science Editing for Scientists @ prosciediting.com