The so-called "2001 version" of TOSQA has been extended and improved by a dynamic gain alignment, an adaptive threshold for the internal voice activity detection (VAD), and a modified background noise calculation which takes into account comfort noise introduced by VADs in the network or in the terminal.
Compared with the conventional grey multivariable model, which has certain drawbacks of inaccurate prediction and poor adaptability that restrict their applications in practical cases, the proposed model can make three improvements: first, an optimized grey model having a modified background value is proposed to predict the trends of the driving variables.
Notably, affected families with early-manifesting offspring have a high recurrence risk for the birth of a further child with similar clinical manifestation; an information that should be shared with afflicted families and that clearly hints at a common familial modifying background for early and severe disease expression [ 70].
Reassessments may come about by the addition of explicit statements that supplement or modify the background information b, and they may also take the form of (non-Bayesian) transitions to new vagueness sets for individual agents and to new diversity sets for the community.
One possibility is that TBS over BA 5 induces sustained changes in the activity of neurons projecting to M1, which in turn, could act to modify the background activity of M1 neurons.
Tip: To be able to modify your "Background" layer (i.e. the very first layer made – often your original image), which is locked by default (see the padlock image to the right of the layer name), double-click it and give it a new name.
There are other tropical oscillations that influence TCG through modifying the background conditions for TCs.
Recently it has become evident that significant diagnostic information may be available about the dust layer from the temporal behavior of the electron irregularities during the heating process which modifies the background electron temperature.
This is a huge advantage of our system in comparison to other systems based on selectively updating the background model, not only because we avoid wrong update decisions but also because the system provides the possibility of incorporating interactive corrections with no need of modifying the background model.
Potential sources of variation include different risks associated with different mutations, modifying genetic background and environmental or lifestyle factors.
