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Variations can be a problem, too.
In some cases, data on genetic variations can be conflicting.
The consequences of such variations can be significant.
Variations can be found in Vietnamese or Korean restaurants, and it has even crossed into school cafeterias and national chains.
Such variations can be described by a handful of vectors.
Price variations can be confusing to first-time buyers.
These load variations can be regarded to follow Gaussian distribution.
Load variations can be seen following Gaussian distribution [22].
The robustness against ow variations can be enhanced by improved control.
The potential of the matches to handle variations can be further exploited with superstructure schemes.
The variations can be well described by linear or quadratic polynomial models.
More suggestions(18)
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