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Other innovative features are the indication of potential errors and the possibility of applying learning procedures, in order to gain in robustness.
Assuming that the cost of increasing reliability is constant, there is a limit above which, increasing reliability does not worth the associated gain in robustness.
This finding fits very well to previous papers that report that linear inhibition maximizes replay quality for homogeneous pattern sizes: the gain in robustness is mostly obtained by a reduced replay quality.
Such gain in robustness in K2_QSS models (as compared to their K2 counterparts) owes its origin in the phosphatase sequestration strength in K2_QSS.
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There is hope that the more diverse technological approach to screening currently being applied will deliver additional targets, expand the compound classes and provide further drug candidates to ensure that the TB drug pipeline remains filled and gains in robustness.
The gain in model robustness with this new version should enhance the confidence in the practical use of this simple model for water engineering and resource management.
With R-LRFD, the gain in the robustness, as reflected by the reduction in the sensitivity of the system response to the recognized but unquantified uncertainty of input parameters, is accompanied by an increase in cost.
Thus, even though model 1 took into account the possibility of allele fixation by introducing a truncated Gaussian distribution, it did not provide any gain in estimation robustness.
Such low Kseq values significantly reduce the flux of dephosphorylation under the PSEQ conditions, so during the phosphatase variation we observed such remarkable gain of robustness in all the K2_QSS models.
The metagene approach sacrifices detail at the individual gene level in order to gain statistical robustness, generalisability and the necessary dimension reduction to enable higher-level analysis.
By minimizing the correlation residual with respect to the degrees of freedom, the full set of interfacial fracture properties is obtained through a one-step algorithm, revealing a substantial gain in terms of computational efficiency and robustness.
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