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This can be explained by the fact that the preparations were of different sizes, and a fluctuation of the results in the range of 100% can be reasonably explained by different individual anatomic conditions, such as body weight.
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This difference could possibly be explained by different responses to antibiotics by individual species [ 19].
Observations from prior studies 19 24–26 led us to formulate the hypotheses that differences in HIV prevalence will be explained by different level variables such as: individual injection practices, the type of drug(s) injected, average duration of drug use, percentage of men and women in particular IDU populations, interaction within social networks of IDUs or a combination of these factors.
To test the hypotheses that differences in HIV prevalence among injection drug users (IDUs) could be explained by different level variables such as individual injection practices, the type of drug(s) injected, average duration of drug use, structure of IDU populations, interaction within social networks of IDUs or a combination of these factors.
Using a multiple mediation design, the results revealed that proactive and compliance safety behaviors are explained by different patterns of combinations of individual and situational factors related to safety.
Analyses of molecular variance (AMOVA) were performed using Arlequin 3.11 [ 44] to estimate and compare the percentage of genetic variation explained by different hierarchical groups (i.e. individual, sample, group of samples).
In humans, the extent of muscle damage differs between individuals and can be explained by different factors such as the type and intensity of exercise and the person's age, fitness level, and genotype [ 8– 10].
According to this interpretation, the different phasor positions for individual cells can be explained by different proportions of free EGFR eGFP and EGFR eGFP/Grb2 mRFP complexes.
Therefore, we did not intend to examine factors influencing decisions to seek care at different sources/options of available health care for individuals with fever, which might be explained by different behavioural models including the Health Belief Model.
More likely, our observation can be explained by different loci contributing to the variation of the examined traits in the individual heterotic pools (Table 3).
This variation is in part explained by different laws.
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