The characterisation of natural fracture networks using outcrop analogues is important in understanding subsurface fluid flow and rock mass characteristics in fractured lithologies. It is well known from decision sciences that subjective bias can significantly impact the way data are gathered and interpreted, introducing scientific uncertainty.
The recent developments of medical applications of electromagnetic fields in both diagnostic and therapeutic scenarios has posed the attention on the accurate knowledge of the dielectric properties of human tissues. Accordingly, several studies were recently devoted to the measurements of such properties under various physiological conditions. Since biological tissues show a high variability, to compare the different data it is necessary to thoroughly control the experimental conditions.
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