The constant "just-in-time" replenishment of goods at the heart of today's retail and manufacturing business models requires an equally constant replenishment of workers, ordered at short notice.
Hence the use of experimental models, and QSAR models, requires an initial evaluation of their correct application for the situation of interest.
The design of appropriate animal models requires an accurate pathological description of human cases, as well as a good understanding of the effect of experimental variables on disease outcome.
Integrated care models are gaining popularity as a clinical strategy to reduce costs and improve client outcomes; however, implementation of such complex models requires an understanding of programmatic core components essential to producing positive outcomes.
The precision in the estimation of parameters using MVAR models requires an appropriate length of EEG recordings, as the number of such parameters substantially grows when the number of time series to be modelled (i.e. the number of nodes in the final network) increases.
The conceptualisation of such models requires an understanding of the subject matter's physiology and empirical data for their parameterisation.
