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Generally speaking, these variability sources can be categorized into two types.
These variability measurements are used in our empirical study as described in the next section.
In this sense, real approaches to speaker identification necessarily imply taking into account all these variability factors.
Between- and within-subject consistencies of these variability metrics were quantified by variance components estimated using a nested random effects model.
We examined correlations between these variability indices and geographical distance calculated as the arc surface distance from the most eastern Chinese sample.
Therefore, these variability mechanisms may have a positive impact on the fitness of strains during colonization of new environment(s).
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In the practice of implementing SPL, instances of certain design patterns are employed to handle variability, which makes these "variability-aware design patterns" a best practice for SPL design.
"Intracluster correlation coefficient (ICC)" is a standard measure that captures these variabilities.
Some of these variabilities are considered in off-line mould filling simulations.
Deterministic approaches are unable to take into account these variabilities without leading to oversized structures.
However, despite all these variabilities, the temperature exhibited a remarkable similarity during the study period (February March) in both years.
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