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Hannover's president, Martin Kind, for example, has worked out a compromise model.
(Unlike the heliocentric model of Nicolaus Copernicus, Brahe's compromise model had the planets orbiting the Sun, which in turn still orbited the Earth).
Responding to the report, the social services minister, Christian Porter, said the government was considering "one compromise model" that still "makes the system fairer by redistributing savings at the top end to make for more generous provisions for lower income families who may have less employer provided PPL".
The compromise model appeals to a principle of rationality, which Kitcher calls the External Standard.
The interpolation of the structural model fitted a compromise model between seismic and borehole log data.
Level diagrams facilitate the selection of a compromise model to characterize the thermoelectric module successfully.
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Having observed that the experimental fibre-profiles appear intermediary between the predictions of the Lamel and the Pancake model, two revised compromise models are developed, by which the simulated results can be further improved.
In contrast, limited control or compromise models assume that reproduction cannot be controlled completely by either dominants or subordinates.
The 1D 2D coupled model is a "compromise" modeling approach to achieve relatively accurate representations of overland flow dynamics with reasonable yet extensive amounts of data and computational requirements.
It can be viewed as a special case of the more general compromise models of reproductive skew because it also aims at explaining the partitioning of paternity in social groups and because some of the models' predictions are similar (Kutsukake and Nunn forthcoming).
In this paper, a new adaptive strategy based on fractional signal processing is proposed using multi-directional step size fractional least mean square algorithm for online secondary path modeling, which is a fundamental problem in practical active noise control systems, as opposed to the generally-employed increasing step size strategy that compromises model accuracy for faster convergence.
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