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Again, only transmit power was considered in the EC model.

Two evaluation indices of the EC model are introduced.

Finally, the EC model was built as shown in Fig. 2(b).

The final EC model included the effects of mastitis pathogen (Staph. aureus and Strep.

This result indicates that the numerical calculation by EC model is quite reliable.

To validate the EC model, three regions(S1, S2 and S3) on the radiating surface were chosen, and the indexes of the measurement data and the EC model on these regions were shown in Table 1.

For low wind speeds, in the area of vortex-induced vibrations, the EC models had similar response with the SQ models; however, for higher wind speeds the EC models proved to be more stable.

In order to clarify if the symmetric, original shape has influence upon its stability, we have carried out tests on section models of "Endless Column" shape (EC models) and square shape (SQ models), of various Sc numbers.

Using Multinomial Logit (MNL) and Error Components (EC) models, we show that alternative assumptions concerning the threshold load factor that triggers a crowding externality effect do have an influence on the value of travel time (VTTS) for low occupancy levels (all passengers sitting); however, for high occupancy levels, alternative crowding models estimate similar VTTS.

All EC models were ERβ+/ERα− at the level of mRNA (Fig.  1E) and protein (Fig.  1F).

All EC models showed a significant, positive effect of low wind speeds on the traffic-pollution relationship.