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The most likely cause for this variation is the different properties of the aggregate used in each study.
One potential cause for this variation is that species traits may restrict the abilities of species to inhabit patches with certain characteristics (e.g., small amounts of available habitat).
A possible cause for this variation is whether an epitope is presented early or late during the infection of a cell [59] [61].
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Such patterns have been reported in several plant species and many possible causes for this variation have been discussed.
The possible causes for this variation in severity however remain to be established.
The causes for this variation among populations are unknown yet, and may include reasons such as in-utero priming due to maternal vaccination with tetanus toxoid, boosting effect of early pneumococcal carriage common in developing countries, age at immunization, genetic factors and other concomitant vaccines.
The search for the causes of this variation initially focused on broad-scale DNA sequence and chromosome-level features, such as G+C and CpG content, or the density of poly(A)/poly(T) stretches and protein-coding genes [ 14, 15].
The range of criteria used to diagnose PCOS is well recognized as a cause for the variation in morbidity associated with this syndrome.
Understanding the underlying causes of this variation is important for cancer prevention and risk stratification.
Terrain complexity has been identified as a cause for the variation in DTM accuracy across landscapes [37].
Failure data from field provide useful information to assess if the changes in product reliability variations are significant or not and to identify the cause for the variation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com