As differences in body composition in relation to ethnicity are well known, population-specific validation studies comparing DXA with other precise methods are required.
It is well known that population diversity in EAs and SI algorithms heavily reduces once algorithms are evolved in a large number of generations.
For instance, it is well known from population genetic studies that several mtDNA variants are strongly stratified in the Iberian Peninsula, such as hg V, H1a, H3 and H5 that are highly prevalent in the Franco-Cantabrian refugee [6], [34], [35], [36]; therefore, the Spanish population cannot be considered a single homogeneous population.
The CVCR is another well known founder population widely studied by geneticists interested in neuropsychiatric disorders and other complex traits like asthma [ 19].
It is well known that population structure can cause spurious associations between markers and the trait under study [ 1], because of allele frequency differences between subpopulations in a population, rather than genuine genetic associations with the trait of interest.
It is well known that population surveys underestimate true consumption, and thus data from surveys have to be triangulated with estimates of adult per capita consumption, which are often based on sales data [ 4, 13].
In biological systems, it is well known that populations of neurons may be active in a coordinate fashion, which effectively reduces the population's dynamics.
Predictors for incident albuminuria are not well known in population-based cohorts.
The target mean blood pressure is not well known in this population.
Differential Evolution (DE) is a well known and simple population based probabilistic approach for global optimization.
