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The design of excitation controllers to improve transient stabilization of power systems is a topic of renewed interest in the control community.Existence of a state– feedback stabilizing law for multi machine aggregated reduced network models has recently been established.
A novel Bayesian paradigm for the identification of output error models has recently been proposed in which, in place of postulating finite-dimensional models of the system transfer function, the system impulse response is searched for within an infinite-dimensional space.
Work from these animal models has recently been extended into human clinical trials of RA with differing degrees of success [ 12- 14].
Transmission of VSNJV in livestock models has recently been investigated, and multiple routes, consistent with vector-borne, mechanical, and contact transmission have been validated [ 5, 6, 10- 14, 14, 25, 26].
A gender (and racial) difference in the utility of insulin-based fasting and OGTT-based models has recently been described by Pisprasert et al., who found that gender as well as race, had a significant effect on explaining the predictability of clamp-measured glucose disposal rates (GDR) [ 46].
While limitations inherent with an ecologic study design are applicable to this study, multiple studies using this approach for the estimation of the influenza burden suggest that uncertainties are reasonably stated, and the use of statistical models has recently been recommended by the WHO as the preferred option for the estimation of the influenza burden.
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Several freshly restored 1935 models have recently sold for substantially more.
Deep learning models have recently gained attention by the researchers.
Higher order Leray models have recently been proposed in [W.
Bag of words models have recently shown great promise in action classification.
The tree models have recently drawn increasing interest from specialists in physics, probability and information theory.
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