Exact(1)
This model yields a possible explanation of the apparently paradoxical observation that, although highly expressed proteins are selected for higher robustness, they also are more constrained: the higher the equilibrium robustness level, the smaller the fraction of mutations that do not push protein robustness below this threshold (fig. 4).
Similar(59)
Thus, in [56], an improved WAC with extra i C1 feedback (i.e., x AD = i C1 in Fig. 12) is used for high robustness.
Thus, a dilemma exists between the choice of a complex model for fidelity and that of a simple model for high robustness (i.e., lower variation in the discrepancy between model prediction and observation).
Although the design features that are responsible for this higher robustness still remain to be understood, our results stress the importance of a robust design of both native and synthetic signaling networks.
That is, since the overall used radio resources (transmission power and time) are about the same in this comparison, the radio resources needed for the higher robustness of layer 0 are taken away from the radio resources of the layer 1 which is responsible for the decrease in max quality and thereby this layer becomes less reliable.
The results presented in this paper provide important information for the design of high robustness multi-LED systems.
The cases of highest robustness for each of the 14 models and all steepness values show large variation among the models (Fig. 5).
Second, two architectures of recurrent neural networks, an autoregressive and a state-space model, are derived and tested for dynamic simulations, showing higher robustness of the autoregressive form.
The influence of the wavelet decomposition level may not be immediately derived from these results but it is known from earlier experiments [18] that there is a trend to result in higher robustness for a lower decomposition level value (please refer also to the results in Section 3.2 on this issue).
The major contributions of this paper are (1) investigating the gender discriminative ability of clothing information; (2) using facial components instead of the whole face to obtain higher robustness for occlusions and noise; (3) exploiting hair and clothing information to facilitate gender classification.
While the general trend for both strains is similar, in this case, accordingly to the higher robustness observed for this genetic background (compare the behaviors of the GRF18U and BY cells in Figure 3 and 4 ) a lower accumulation of ROS has been detected.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com