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This means that by targeting nominal GDP, central banks could actually smooth output fluctuations better.
Hence, they enhance food security as they manage food consumption fluctuations better than a household without such an activity (de Janvry and Sadoulet 2001; Ruben 2001; Barrett et al. 2001; Babatunde and Qaim 2010; Haggblade et al. 2010; Owusu et al. 2011; Bezu et al. 2012; Hoang et al. 2014; Mishra et al. 2015).
This algorithm, instead of removing trend with a priori mathematical formulas such as linear or polynomial functions [14], [29], could evaluate the hidden dynamics of heart beat fluctuations better [9], [10], [29].
More importantly, the physiological interpretation of scalp EEG fMRI mapping studies may be improved using electrophysiological features that not only (i) explain colocalised BOLD fluctuations better but also (ii) reflect well-known aspects of the neuronal activity.
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When asked if his years of fluctuation better prepared him for this phase in his career, he leaned forward and said in a confidential tone, "I wish I'd listened more to all those people around me who have my best interests at heart.
Proper size of smoothing filter is needed in order to correctly remove local fluctuations for better enhancement.
Simulation of the rate in a major mixing model is investigated and the derived equations can assist in selecting the model parameters so that the level of conditional fluctuations is better reproduced by the models.
The objectives are to evaluate the influences of the induced internal field on the surface magnetic observations and to reveal the response performance of internal geomagnetic induction under different strengths of magnetospheric ring current fluctuations for better understanding of the disturbance storm time (Dst) index variations.
To smooth out annual fluctuations and better visualize longer term trends, we present data for number of foxes and incidence of human AE cases as 5-year moving averages.
Compared with the existing algorithms, the proposed algorithm in this paper obtains high precision under the situation of both slow and fast phase fluctuation and better robustness to noise.
In comparison with elastic network models, CABS-flex uses more detailed information on the protein system and generates residue fluctuation profiles better correlated (on average) with those obtained by all-atom MD [see our Section 4 in Jamroz et al. (2013b)].
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