Thus, the genotype may influence the specific structural and material features: material properties, for example, may differ by as much as 200% in different laboratory mice strains, related to structural morphology [ 35].
The response to enteric pathogens or oral vaccines, for example, may differ in an African setting due to preexisting natural immunity, genetic differences, or comorbid conditions [ 19, 36].
Also, because insurance is regulated by the state, exemptions in Michigan, for example, may differ from those in California.
This is partly due to the widely varying dimensional and structural properties of the plant in its natural form, as these for example may differ with varying soil composition or climatic conditions during growth.
For example, questionnaires may differ in their sensitivity to identify cases where respondents consider their symptoms trivial.
For example, villages may differ systematically in household wealth, agricultural productivity, or the distance to markets; these factors vary across villages but are correlated across households within villages.
For example, genotypes may differ in their responses to waterlogging but their variation after subsequent drainage might be even more marked (e.g. cool-season grain legumes; Solaiman et al. 2007).
For example, population density may differ between populations, causing different rates of male-male contact and aggression [ 68].
For example, accessibility impacts may differ across population groups with diverging activity patterns and transport mode availability [53], and network investments may be necessary to improve access to specific activity places (such as hospitals or schools) or to support large recurrent transport flows (for example for tourism or international commuting).
