Second, for many r-protein families, the degree of translational dependence differed between the different paralogs; clear examples include L3, L12, L13, L18a, L21, L35a, P0, Sa, S2, S12, S15a, S25, and S30.
[ 14] This would be a particular problem if the proportion of cases identified differed between the different areas, for example if a higher proportion of cases lived in institution in the fluoridated area compared to the control area this would result in a misleading association.
More generally, one can divide the observation interval into epochs (as we have done) and model observations in each epoch and overlaps between the different epochs, for example using generalized linear models.
The degree to which the technology/society distinction is useful at all (ontologically or analytically) varies between the different constructivist authors for example, Brey (1997) identifies three different strands of constructivist approaches.
In rice and other cereals, the extensive genome sequencing is leading to better utilisation of wild relatives for crop improvement even though comparisons between the different Oryza genomes (for example) have demonstrated extensive DNA rearrangement in the colinearity of genes (Tian et al. 2011).
Students significantly outnumber staff members in all higher education institutions (HEIs), with variability between the different types of universities, for example, research intensive compared to teaching led.
SL occurs when learning experiences promote interaction between the different kinds of goals, for example, acquiring knowledge alone is not enough, but when paired with a learning experience, such as an effective patient experience as in Caring, then significant (and lasting) learning occurs.
Additionally, there was only a small change between the different machine learning strategies; for example, Random Tree and J48 each identified 81 targets, while Logistic Regression identified 85 targets.
We make no claim that the contours can distinguish between the different mechanisms for publication bias for example, whether it is missing whole studies, selectively reported outcomes, or "massaged" data that have led to the distorted funnel plot.
Furthermore, we consider spatial, temporal, and socio-topical metrics jointly for the first time, discovering some macro-classes of groups that reveal the interplay between the different dimensions; to mention two clear examples, topical groups that tend to be long-lived and with steady activity in contrast with social groups that are more often bursty and short-lived.
