In addition the data driven model can indicate the variable spaces for which more experiments are needed.
From the results, the model can indicate the variation of the injectivity through geological problems such as semi-sealing and permeability improvement.
Continuous measurements on the monitored variables at a high sampling rate enable the ARX dynamic model to estimate the dynamic response in real time, and the model accuracy index obtained from the ARX dynamic model can indicate the decreasing of the stability margin.
The results obtained from the model simulation show that this model can indicate the influence of the process factors, Cin, η, μmax, Cx, A, h, Km, and Q, on the removal of SO2 and that the prediction of the results by this model is also satisfactory.
We show potentially dramatic shifts of connectivity at low land-cover composition below certain thresholds, and suggest that the degree to which the observed pattern departs from a particular neutral model can indicate early warning signals of regime shifts, and how those landscapes might evolve/react to additional land-cover variation.
Below the shape indicating sky cover, the station model can indicate the coverage of low clouds, in oktas, and the ceiling height in hundreds of feet.
However, the model can indicate parametric space that promotes sustained oscillations.
Furthermore, the current model can be used to predict the best position for BC hearing devices (e.g., BAHA, http://www.cochlear.com/; SoundBite, http://www.sonitusmedical.com/) because the simulation results of the model can indicate the position that produces maximum vibration at the cochlea for a specific frequency range.
Besides detection of active transcription factors, information deduced from the model can indicate transcription factor binding status in promoter regions to further investigate how a particular gene is regulated by a specific group of transcription factors organized in a particular pattern.
Obviously, nighttime measurements at the two points are not sufficient for reliable validation of the models; however, they can indicate model limitations.
