In this study, we use the population structure analysis from Pereira and Wake [ 22] to distinguish the ranges of the 20 genetically pure parental populations, which are not affected by ongoing gene flow, from the areas of secondary contact around and across the ring, where genetic admixture occurs.
Although the demographic census does not distinguish the age range from 5 to 12 years, there are 5,055 children from 5 to 14 years (15.3%% of the population).
The three evolution classes (not formed, formed-unstable, formed-stable), are a useful classification tool to distinguish the wide range of possible dams, grouping them into sets with similar characteristics and behavior.
This highlights the potential of wavelet-based techniques to be coupled with formal statistical inference procedures to robustly distinguish between the range of scenarios that could have resulted in any observed genetic pattern.
For instance, categorizing a visual stimulus as a face arguably the most significant visual stimulus for human social ecology requires to isolate the face from its natural background scene ('figure-ground segregation', Appelbaum et al., 2006; Peterson, 2014) and distinguish the face from the wide range of non-face stimuli in the environment which share visual properties with faces.
We can use two filters, which have different passband frequency ranges, to distinguish the different signals effectively.
Global and targeted mutagenesis are two main methods of obtaining various mutations, distinguished by the range of action they can cover.
FCSs are distinguished by the range of data sources that are ulitised to triangulate study findings.
By distinguishing the clock frequency range from the core circadian clock genes in the frequency domain, we can separate the spectrum to different sections containing treatment-related, clock-related and noise-related influences.
