As a contribution to this, we review the nature of the weathering/carbon cycle system, the sources of evidence used to understand it, and the challenges that remain in quantifying the feedbacks between weathering and the global carbon cycle.
Empirical data quantifying the feedbacks of ecological processes are rare and require long-term observations.
An expansion of the model in order to refine the coupling with the community would also represent an important step, on the one hand to check that the simplistic coupling used here does not impact our results, and on the other hand to quantify the possible feedback effect of the mitigation of the spread within the school on the spread in the community.
On the basis of the bounds, we also quantify the number of feedback bits of TN-SDMA required to achieve the throughput of PU2RC.
Settling time and integral squared error (ISE) were used to quantify the long-loop feedback response.
Maximum perpendicular displacement (PD) and time of corrective control initiation (Tc) were used to quantify the short-loop feedback response.
DUE or drug utilisation review (DUR) involves an initial four step process of: 1. identification of a quality use of medicine problem e.g. low concordance with an accepted prescribing guideline, 2. collection of baseline data to quantify the problem, 3. feedback of results (evaluated data) to prescribers and other stakeholders, and 4. implementation of an intervention to improve practice.
While a number of modeling efforts have attempted to quantify this feedback, the future Arctic carbon balance remains unknown due in part to uncertain controls governing soil carbon decomposition.
We quantify the effectiveness of resulting feedback control loops in terms of how close their quality attributes are from a set of Pareto-optimal solutions previously obtained.
Only two trials evaluated electronic feedback in randomized trials and it was not possible to quantify the added effect of electronic feedback.
The Lyapunov function allows us to quantify the Lyapunov stability properties under the modified feedback, the inverse optimality of the feedback, and its disturbance attenuation properties.
