This clustering of most strains in one PFGE pattern might be explained with the clonal population structure of encapsulated H. influenzae previously observed in Italy (5, 9 ), but further studies are needed to clarify this point.
Furthermore, the absence of isolation by distance coupled with a strong spatial structure of the populations conform to patterns encountered in other metapopulation systems and can be explained with high genetic drift in small populations [ 81].
This can be explained with refractoriness within the same neuronal population involved in signaling the onsets of leading and lagging markers.
First, the observed differences in the results between the different population groups could be explained with different selection criteria for the samples (preanalytical phase), technical errors (analytical phase), and differences in the preferred statistical methods with or without corrections (postanalytical phase).
All observations may well be explained with the assumption of an iodide-induced re-population with different oxygen species on the silver surface.
This effect can be explained with the fact that 70 80 % of the total microbial population in the rumen is attached to feed particles [44].
Explanatory power went up even further using only US cases: 75% of deviance was explained with changes in population density, temperature, and precipitation.
Here, the process of developing and testing multiple PILs for a specific patient population is explained, with particular focus on the application of cognitive interviewing techniques to test the clarity and suitability of the information.
This could be explained as population mixing was significantly correlated with population density.
The increasing prevalence of stroke associated with AA could partly be explained by population aging in developed countries [ 28].
