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Martin Rypdal, Hege-Beate Fredriksen, Eirik Myrvoll-Nilsen, Kristoffer Rypdal and Sigrunn H. Sørbye
Earth’s global surface temperature shows variability on an extended range of temporal scales and satisfies an emergent scaling symmetry. Recent studies indicate that scale invariance is not only a feature of the observed temperature fluctuations, b...
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Francesco Serinaldi and Chris G. Kilsby
The assessment of collective risk for flood risk management requires a better understanding of the space-time characteristics of flood magnitude and occurrence. In particular, classic formulation of collective risk implies hypotheses concerning the indep...
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Francesco Serinaldi, Chris G. Kilsby
Pág. 1 - 25
The assessment of collective risk for flood risk management requires a better understanding of the space-time characteristics of flood magnitude and occurrence. In particular, classic formulation of collective risk implies hypotheses concerning the indep...
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Dzhema Melkonyan and Sherin Sugathan
Increasing groundwater levels (GWLs) may become one of the most serious issues for the city of Odessa, Ukraine. This study investigated the spatial distribution characteristics and multifractal scaling behaviour of the groundwater-level/-depth fluctuatio...
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Yuri A. Eidelman,Svetlana V. Slanina,Oleg A. Gusev,Sergey G. Andreev
Pág. 38 - 41
We present a polymer modeling approach to generate the ensemble of 3D chromosome conformations at different time points of mitosis-interphase transition. Dynamics of structure during mitosis-G1 transition indicates quick and slow stages of chromosome sha...
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Ivani Bora,Naliniprava Tripathy
Pág. 1716 - 1721
This study investigates the presence of long memory and non-linear dynamics in Indian stock market returns for a period of 19 years from May 1997 to May 2016 by using Rescaled Range (R/S) method and V-statistics. The empirical findings suggest that India...
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Erhui Li, Xingmin Mu, Guangju Zhao and Peng Gao
Multifractal detrended fluctuation analysis (MFDFA) can provide information about inner regularity, randomness and long-range correlation of time series, promoting the knowledge of their evolution regularity. The MFDFA are applied to detect long-range co...
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