To correct this error, a source term is implemented.
In order to explore the possibility of over-representation of different protein classes among those phosphopeptides identified in our experiments, an enrichment analysis of their gene ontology (GO) terms was implemented as previously described [10].
In order to obtain all relevant literature, PubMed's automatic term mapping search of the literature might not be sufficient and a more robust search option of using Medical Subject Heading (MeSH) terms was implemented.
Two models of constant and variable sink/source terms were implemented to consider species consumption and production.
Consequently, learning of control system dynamics (i.e. closed-loop identification) from adaptive neural control of nonlinear systems with unknown affine terms is implemented.
ADER schemes of up to fifth order of accuracy in space and time for the advection and source terms are implemented and systematically assessed, with particular attention to their convergence rates.
Additional terms are implemented in the transport equations to describe stratification of the atmosphere to account for the Coriolis forces driven by the Earth's rotation, as well as for the drag-forces and turbulence production and dissipation due to different types of land use.
Results indicated that when both age terms were implemented in the model, no curvilinear effect of age was present on the Motor Timing task (F 1, 259.3) = 1.34, P = .25), but there was on the Baseline Speed task and Tapping task (F 1, 257.8) = 20.59, P < .001 and F 1, 258.3) = 12.47, P < .001, respectively).
The statistical functional GO term enrichment test was implemented by one-tailed Fisher Exact Test in Go Term Finder.
Further GO term visualization was implemented by links to external GO term viewers (EMBL-EBI QuickGO and SRS).
