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pro vyhledávání: '"Kantelhardt, Jan W."'
Publikováno v:
Diffusion fundamentals. 6(9):1-17
Many disordered systems can be modelled by percolation. Applications of this standard model range from amorphous and porous media to composites, branched polymers, gels and complex ionic conductors. In this brief review we give a short introduction t
Akademický článek
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Autor:
Ma, Yaopeng J.X., Zschocke, Johannes, Glos, Martin, Kluge, Maria, Penzel, Thomas, Kantelhardt, Jan W., Bartsch, Ronny P.
Publikováno v:
In Computers in Biology and Medicine September 2023 163
Akademický článek
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This report summarizes the results of a short-term student research project focused on the usage of Swedish Wikipedia. It is trying to answer the following question: To what extent (and why) do people from non-English language communities use the Eng
Externí odkaz:
http://arxiv.org/abs/1308.1776
Autor:
Miron-Shahar, Yael, Kantelhardt, Jan W., Grinberg, Adam, Hassin-Baer, Sharon, Blatt, Ilan, Inzelberg, Rivka, Plotnik, Meir
Publikováno v:
In Parkinsonism and Related Disorders August 2019 65:210-216
Publikováno v:
Bashan, A. et al. Network Physiology reveals relations between network topology and physiological function. Nature Communications 3:702 doi: 10.1038/ncomms1705 (2012)
The human organism is an integrated network where complex physiologic systems, each with its own regulatory mechanisms, continuously interact, and where failure of one system can trigger a breakdown of the entire network. Identifying and quantifying
Externí odkaz:
http://arxiv.org/abs/1203.0242
We numerically show that very small magnetic flux can significantly shift the metal-insulator transition point in a disordered electronic system. The shift we observe for the 3d Anderson model obeys a power law as predicted by Larkin and Khmel'nitski
Externí odkaz:
http://arxiv.org/abs/0901.4452
We examine several recently suggested methods for the detection of long-range correlations in data series based on similar ideas as the well-established Detrended Fluctuation Analysis (DFA). In particular, we present a detailed comparison between the
Externí odkaz:
http://arxiv.org/abs/0804.4081
Phase-Rectified Signal Averaging (PRSA) was shown to be a powerful tool for the study of quasi-periodic oscillations and nonlinear effects in non-stationary signals. Here we present a bivariate PRSA technique for the study of the inter-relationship b
Externí odkaz:
http://arxiv.org/abs/0804.2798