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In this review article, recent studies on these efficacies are discussed, starting from the classical global feedback framework and basis of the transient response.
In this section, the transient response of the global mean surface temperature to radiative perturbation is reviewed in a classical global feedback framework.
Armour et al. (2013) emphasized the advantage of a local/regional feedback framework, in which feedbacks are formulated as the TOA radiative anomaly per unit local surface temperature change, rather than per unit global mean surface temperature change (i.e., global feedback framework).
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This represents a negative global feedback from MEF2C on SOX9 in our model.
We present the improvements obtained by open-loop, local feedback, and global feedback strategies.
In their local feedback framework, radiative damping is approximated by lambda (t)varDelta T t)=overline{lambda left r,tright)varDelta Tleft r,tright)}approx overline{lambda (r)varDelta Tleft r,tright)}, (31 where r denotes location and the overbar represents the global average of local variables.
Finally, there is global feedback inhibition in the network.
We simulate a network of 1000 recurrently connected excitatory spiking neurons with global feedback inhibition.
Typically, they lack global feedback loops from outputs to dynamically adjust the control dosage.
CLGF: Coupled local and global feedback; PLV: Phase locking value; FB: Feedback.
This feedback framework was developed in the context of a personalized medicine research project in Canada.
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