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The model was significant (P < 0.01) and R 2 = 0.9994 indicated that 99.94 % of the total variability in the response could be explained using this model.
For the studied specimens the large scatter of fatigue strength in the high-cycle region could be explained using this approach with high-resolution weld profile measurements combined with thorough finite-element analysis.
As already mentioned, due to the cortical recruitment of lexical-semantic networks it has been demonstrated that primary auditory processing is driven by the principles of neural efficiency, whereas the activity of the MTG shows a different activation pattern which cannot be explained using this line of argumentation.
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To aid the discussions, the Oxford Hip Score was used as the example of a PROM and the four different metrics were explained using this instrument and illustrated in PowerPoint as depicted in Figure 1.
Again, this can be explained using the supply-side argument.
The dispersion parameter was varied from 0.01 to 0.05, because plots of tracer concentrations for different mean ages showed that the combination of tracers (H, CFC-113, and C) in groundwater could only be explained using dispersion parameters in this range.
In this paper, this model is explained, using the Dutch general practitioners as an example.
This is explained using the model shown in Fig. 5b.
This is explained using the Cox regression models (cf. Table 5).
This was explained using the Rayleigh–Taylor (R-T) instability mechanism.
This is explained using the fact that the complexed DNA repeat units are electrically neutral, so that there are no salt/charge interactions.
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