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Figure 3 shows the average dependence of tremor amplitude on stimulation phase (phase-amplitude profile) in 10 patients, when individual phase-amplitude profiles were aligned to the phase where maximal amplification was observed (Fig. 3A), maximal suppression was observed (Fig. 3B) or where peak entrainment was observed (Fig. 3C).

We discovered that on average the positional dependence of the insertion and deletion defect profiles (e.g. in Figs. 3 and 5A) is very similar to the positional dependence of mismatch defect profiles (Fig. 2).

For example, a decrease of the self-interference coefficient up to a value is enough to double the average sum rate for link SNR = 5 dB. Figure 3 Dependence of the average sum rate (a) and of the average network congestion (b) on the self-interference coefficient.

Average curves showing the dependence of the densities on N are represented in Figure 3.

The dependence of the average Nusselt number on the average inner boundary temperature based Grashof number is found to be in good agreement with the heat transfer data computed for differentially heated annuli with isothermal boundaries, within the parametric space covered.

However, a comparison of the breadth of the distributions between mats with differing average fiber diameters indicates that the dependence of the breadth with average fiber diameter is not universal (i.e., it is material dependent).

Figure 5 Dependence of the average sum rate (a) and of the average network congestion (b) on the self-interference coefficient.

Figure 3 shows the dependence of the average sum rate (Figure 3(a)) and of the average network congestion (Figure 3(b)) on the self-interference coefficient.

Figure 5 shows the dependence of the average sum rate (Figure 5(a)) and of the average network congestion (Figure 5(b)) on the self-interference coefficient for SNR values 5, 16, and 30 dB.

The extent and temperature dependence of the motional averaging depend on the chemical structure of the epoxy network considered.

Figure2 shows the dependence of the average delay D l u and throughput η u on the target average PER P 0 u of the two users in the system.