Sentence examples for both cases are shown from inspiring English sources

The classification criteria for both cases are shown in Fig. 6 and Table 7.

The variations of base moment evaluated from both cases are shown in Table 8.

Mean values along the Y-axis of the reconstructed optical properties maps for both cases are shown in Fig. 7(a), and similarly for reduced scattering coefficient.

The fitness landscapes for both cases are shown in fig. 1(a),1(b) in units of the selection pressure s.

The autocorrelation functions determined for both cases are shown in Fig. 2, B and C. Similar to properties of the Olympus Fluoview 300 (5), the use of fast scanning speeds with small pixel dwell times led to strong autocorrelation between the neighboring pixels.

A combined plot of changes in R ct with time for both cases is shown in Fig. 5c.

The corresponding user perceived QoE for both cases is shown in Figure 24, where several snapshots of the video sequence received at the applications client are shown.

Similar to Figures 10 and 11, the increase in the link budget for both cases is shown by the horizontal black arrow lines.

An example of both cases is shown in Fig. 6 ▶.

A comparison between trx* and wild-type thioredoxin from E. coli (without His6-tags in both cases) is shown in Figure 4. trx* had a denaturation temperature of 108 °C (approx. 20 °C higher than wild-type E. coli thioredoxin) and a very slow unfolding rate (approx. 15000-fold slower than wild-type E. coli thioredoxin).

To validate the advantages of the IGA related to the traditional GA, the iterative process of the two kinds algorithms in both identification cases are shown in the Fig. 12, where the objective function values are given at same iterations.