In addition, while experimental populations experience selective pressures that are usually low in number but high in intensity, natural populations encounter many selective pressures imposed by physical (e.g., temperature), chemical (e.g., pH), and biological (e.g., phages and other microbial organisms) variables, which differ in intensity and vary over time.
However, different cities have samples with different sociodemographic characteristics; they differ in meteorological conditions and also vary substantially in PM2.5 exposures.
While it is expected that habitats that differ in physicochemical features will vary in their microbial community structure, it is more controversial to respond to the question of whether two microbial communities will differ in two geographically separated locations that have the same environmental conditions.
Pharmacokinetics of different LMWHs vary: they differ in elimination half-life, clearance, and bioavailability [ 15, 16].
Subgroups characterized by other clinical characteristics (eg, alcoholism, gender, cigarette use, diabetes) did not differ in rehabilitation outcomes, although LOS varied by group.
When considering atypical onset age as previously defined, it appeared to differ in the two sexes: it varied between ≤ 15 years (52/585 cases, 8.9 %) and ≥ 50 years (53/585, 9.1 %) for CH males and between ≤ 14 years (22/223 cased, 9.9) and ≥ 58 years (21/223, 9.4 %) for CH females (Table 3).
Secondly, HU values depend on the CT machine, imaging conditions, and specifications of the image processing software, which differ in every institution, and may vary due to maintenance or an update.
The number of litters and number of pups per litter in each group on PND1 and PND4 are shown in Tables 2 and 3. On PND1, the groups in experiments 1 and 2 did not differ in litter size (the group average varied from 8.7 to 11.9 pups in experiment 1 and from 8.1 to 11.5 in experiment 2) or in sex ratio within a litter (1.07 1.58 and 0.97 2.08 in experiments 1 and 2, respectively).
They not only differ in their geographical distribution but also vary regarding the pathology of human infections.
The effect of introducing a prioritization system would differ in each region because health systems vary widely in terms of clinical practice and utilization rates.
