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Exact(4)

To evaluate the performance of the proposed technique and compare it with existing ones, we obtained the complementary cumulative density function (CCDF) of the PAPR, which corresponds to the probability that the PAPR of an arbitrary OFDM symbol exceeds a given threshold.

The proof of Theorem 4.1 (and also of Theorem 4.2) is essentially the same as the proof of the existence of a rate of metastability for ordinary Halpern iterations in the case of bounded C by Kohlenbach and Leuştean [[1], Theorem 4.2] replacing the rates of asymptotic regularity Φ, Φ ˜ used in [1] by the new ones we obtained in Section 6.

We further note that the Beagle results shown here are better than the ones we obtained with smaller, less diverse HapMap 3 reference sets (data not shown).

These results are in contrast to the ones we obtained in continuous cultivations [ 21], in which HMF and furfural stress resulted in decreased intracellular ATP levels.

Similar(56)

And the results obtained from it are equivalent to the ones we obtain using user behavioral features.

Alternatively, if the additional criteria is concerned with penalizing occasional occurrence of large values of reconstruction errors more than frequent occurrence of small to moderate ones, we obtain risk-sensitive FIR synthesis filters.

With ten training samples and test samples of 160 sperms which consist of 80 normal and 80 abnormal ones, we obtain accuracy with 88.9%.

If the basic reproduction number is less than one, we obtained the global asymptotic stability of the uninfected equilibrium.

Using a 10% initial glucose concentration Birol et al. (1998) observed a final ethanol concentration of 41 g L-1, which was similar to the one we obtained for free cell fermentation.

In this case, as we can see in Fig. 9, the RSS values obtained at a BS located in the fifth row and first column are less stable than the one we obtained with SPIRIT1 boards: as a matter of fact, there are several peaks and unexpected oscillations.

They showed that their model is able to generate results like the one we obtained here by simply changing the numerical value of the two parameters assumed to be affected by the dopamine level (parameters Kampa Da and Ke Daa) in the model).

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