The realization of such models gives rise to so-called logic networks that are easy to construct, calibrate and interpret.
Many databases have been constructed based on laboratory experiments to calibrate and interpret the observational results.
Uncertainties in the relative orientation and dynamics of the probe dipoles necessarily lead to uncertainties in the distances that are measured, so that the distances are not calibrated and must be interpreted qualitatively [1].
Initially, the cored sections are interpreted, calibrated and then correlated with the uncored sections for generating the depositional facies model.
Initially, the cored sections are interpreted, calibrated and then correlated with the uncored sections for generating the depositional facies model Open image in new window Fig. 8 Cored and uncored sections of the Maui-6 well.
Cored sections are initially interpreted, calibrated and then correlated with the uncored sections for generating the depositional facies model Open image in new window Fig. 9 Cored and uncored section of the Maui-7 well.
This should be taken into consideration when designing calibrated BOLD experiment and interpreting functional connectivity data especially in aging, under drug, or neurological disorders.
Graphs show abundance in ppb (error = +/−0.1 ppb), archaeostratigraphic data (Paleoindian Clovis hafted biface silhouettes), radiocarbon dates (calibrated B.P ., microspherule and nanodiamond peaks3,5,6,7, and interpreted YDB.
An orbiting space-based total column carbon observatory covering the entire globe is anticipated within the next decade [66], but it will still require near-surface and vertical profile measurements of CO2 for calibrating, validating, interpolating and interpreting satellite-derived observations.
Native speakers are able to calibrate the differences and interpret them as being the same.
