However, the presence of high-Z elements (e.g., Barium or Iodine as components of CT contrast media) may result in a failure of correct scaling, potentially leading to quantitative errors and even pronounced artefacts in the corrected PET images (Büther & Schober, 2014).
The issue of the "correct" scale at which assessment of biological parameters should be carried out has been the topic of numerous studies in ecology [ 27- 32].
Interestingly, cartographic maps are not often used by researchers when interviewing offenders, possibly because of the difficulty of selecting the correct scale of map — the map needs to cover a large enough geographical area yet still be readable (Summers et al. [2010]).
A correct estimate of the pinhole positions is required to prevent resolution loss of the nuclear image, whereas a correct estimation of the effective diameter of the x-ray detector was important for correct scaling of fluoroscopic images with respect to the nuclear images.
In all cases, many producers of the same goods and services would need to be brought together primarily because it is often through aggregation that the correct scale of the business can be achieved to compete within a given value chain.
Furthermore, even when there is a linear relationship between λ2 and λ ′ 2, it can be a complex task to derive the correct scale of proportionality.
However, the applicability of laboratory studies depends on the correct scaling of the dominant physical properties.
We present simulations of laboratory-scale Low Swirl Burner (LSB) flames in order to develop a characterization of the interaction of thermal/diffusive unstable flames with turbulence at the correct scales of laboratory experiments.
Simulation of the urban dispersion problems in laboratory facilities requires correct scaling of mean flow, plume rise, and turbulence governed plume spread.
Correct scaling of the measurements enhances the comparability of results between studies and facilitates pooled analyses of findings, which is a natural step forward in our efforts to understand hormonal effects on disease risk and is the most efficient way to combine data resources and scientific expertise.
