Permissible levels of systematic errors (type-B uncertainty) depend on dosimetry purposes (most-probable or conventional) and variability of biological responses.
Conventional SRAM variability metrics require including test structures that cannot be used to investigate cell bit fails in functional SRAM arrays.
Glucose complexity is a dynamic measure of glucose time series and, therefore, seems to provide more powerful information on endogenous glucose regulation than does conventional glycemic variability analysis.
More specifically, to accommodate this variability, conventional generators may have to frequently adjust their output levels or be cycled on and off.
When applying signatures to the images they were derived from, signature expansion improved accuracy relative to the conventional method, and variability in accuracy declined markedly.
Due to this variability, conventional image segmentation fails to detect these compartments.
In conventional field experiments inherent variability is managed by design.
In a conventional inventory, normally the variability of the forest attributes at stand level is not always known and therefore less studied [63].
However, the explicitly higher installation costs compared to conventional systems and the variability of the energy sources require an optimized design of the overall system.
