Sentence examples for systems we observed from inspiring English sources
Further examining the existing UWB radar-communication systems, we observed that they are either not multi-radar capable [16] or are easily jammed open communication systems [15].
In both of the analyzed systems, we observed two consistent jumps in the SDI metric values in early and late development phases.
By analyzing the code of the unit test cases of the different systems, we observed that the test development style, in general, differs from one system to another (which is reflected somewhere in Table 1).
Indeed, while analyzing the code of some test classes of the selected systems, we observed in some cases that developers, for a given test class, group all assertTrue calls in a single utile method that is invoked in different places in the code instead of invoking assertTrue in those places.
Using reporter systems, we observed that FE65 could simultaneously recruit SET, a component of the inhibitor of acetyl transferase, and Teashirt, which in turn recruited histone deacetylases, to produce a powerful gene-silencing complex.
But at lower values of sib-mating, in haploid and diploid systems, we observed a reduced W in the presence of sib-mating.
When comparing multicarrier systems versus single carrier systems, we observe the BER floor for single carrier systems.
In general, for QbE STD systems, we observe performance degradation with the LVCSR-based systems compared with the template matching (i.e., DTW -based systems.
After having studied our figures, including some additional systems, we observe that the previous conclusions continue to be fulfilled with the African systems, which couldn't be studied before, in the last place.
For the pure systems we observe a partial separation of the HOMO(3 -LUMO density charges, with the former localized mainly on one half of the NC and the latter mainly on the other half.
When comparing Fusion (DNN) + Posteriorgram, Fusion (DNN), Fusion (SGMM) + Posteriorgram, and Fusion (SGMM) systems, we observe that the DNN-based systems outperform the SGMM-based systems, though there is no significant difference between them (p≈0.4 for train/dev data and p≈0.7 for test data), which is consistent with the results presented in the 2014 evaluation.
