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Complex spatiotemporal patterns of action potential duration have been shown to occur in many mammalian hearts due to a period-doubling bifurcation that develops with increasing frequency of stimulation. Here, through high-resolution…

The finite sample effect on the Hurst exponent (HE) of realized volatility time series is examined using Bitcoin data. This study finds that the HE decreases as the sampling period $\Delta$ increases and a simple finite sample ansatz…

Statistical Finance · Quantitative Finance 2025-11-06 Tetsuya Takaishi

We investigate the turbulent properties of 12 interplanetary coronal mass ejections (ICMEs) observed by Solar Orbiter between 0.29 and 1.0 AU. We analyze fluctuation power, spectral indices, break scales, and correlations between magnetic…

Solar and Stellar Astrophysics · Physics 2026-01-13 Jyoti Sheoran , Supratik Banerjee , Vaibhav Pant , Dipankar Banerjee , M. Saleem Khan

The brain is a system operating on multiple time scales, and characterisation of dynamics across time scales remains a challenge. One framework to study such dynamics is that of fractal geometry. However, currently there exists no…

Neurons and Cognition · Quantitative Biology 2018-12-12 Lucas G. S. França , José G. V. Miranda , Marco Leite , Niraj K. Sharma , Matthew C. Walker , Louis Lemieux , Yujiang Wang

Discontinuous shear thickening (DST) is associated with a sharp rise of a suspension's viscosity with increasing applied shear rate. A key signature of DST, highlighted in recent studies, is the very large fluctuations of the measured…

Soft Condensed Matter · Physics 2022-10-04 Abhay Goyal , Nicos S. Martys , Emanuela Del Gado

Epilepsy is recognised as a dynamic disease, where both seizure susceptibility and seizure characteristics themselves change over time. Specifically, we recently quantified the variable electrographic spatio-temporal seizure evolutions that…

Neurons and Cognition · Quantitative Biology 2021-09-06 Mariella Panagiotopoulou , Christoforos A Papasavvas , Gabrielle M Schroeder , Rhys H Thomas , Peter N Taylor , Yujiang Wang

Brain tissue is a heterogeneous material, constituted by a soft matrix filled with cerebrospinal fluid. The interactions between, and the complexity of each of these components are responsible for the non-linear rate-dependent behaviour…

Quantitative Methods · Quantitative Biology 2021-02-23 Michele Terzano , Andrea Spagnoli , Daniele Dini , Antonio Elia Forte

An analytical formula for the probability density function (PDF) of the velocity fluctuation in fully-developed turbulence is derived, non-perturbatively, by assuming that its underlying statistics is the one based on the generalized…

Statistical Mechanics · Physics 2015-06-24 Toshihico Arimitsu , Naoko Arimitsu

Features of the turbulent cascade are investigated for various datasets from three different turbulent flows. The analysis is focused on the question as to whether developed turbulent flows show universal small scale features. To answer…

Fluid Dynamics · Physics 2018-06-19 Nico Reinke , Andre Fuchs , Daniel Nickelsen , Joachim Peinke

We show how residual stresses emerge in a visco-elastic material as a signature of its past flow history, through an interplay between flow-modified microscopic relaxation and macroscopic features of the flow. Long-lasting temporal-history…

Soft Condensed Matter · Physics 2023-07-25 Sebastian Steinhäuser , Timm Treskatis , Stefan Turek , Thomas Voigtmann

The dynamical mechanical analysis of blood generally uses models inspired by conventional flows, assuming scale-independent homogeneous flows and without considering fluid-surface boundary interactions. The present experimental study…

Fluid Dynamics · Physics 2024-09-24 Ursula Windberger , Patrick Baroni , Laurence Noirez

We present an experimental study of the motion of a viscoelastic micellar material around a moving cylinder, which ranges in response from fluid-like flow to solid-like tearing and fracture, depending on the cylinder radius and velocity.…

Soft Condensed Matter · Physics 2009-11-11 Joseph R. Gladden , Andrew Belmonte

We develop an expansion of the turbulent stress tensor into a double series of contributions from different scales of motion and different orders of space-derivatives of velocity, a Multi-Scale Gradient (MSG) expansion. The expansion is…

Chaotic Dynamics · Physics 2009-11-11 Gregory L. Eyink

We formulate a scaling theory for the long-time diffusive motion in a space occluded by a high density of moving obstacles in dimensions 1, 2 and 3. Our tracers diffuse anomalously over many decades in time, before reaching a diffusive…

Statistical Mechanics · Physics 2024-10-22 H. Bendekgey , G. Huber , D. Yllanes

The problem of computing the rate of diffusion-aided activated barrier crossings between metastable states is one of broad relevance in physical sciences. The transition path formalism aims to compute the rate of these events by analysing…

Statistical Mechanics · Physics 2022-09-29 Rajeev Bhaskaran , Vijay Ganesh Sadhasivam

We describe a method for analyzing the stochasticity in the non-stationary data for the beat-to-beat fluctuations in the heart rates of healthy subjects, as well as those with congestive heart failure. The method analyzes the returns time…

Biological Physics · Physics 2007-05-23 F. Ghasemi , Muhammad Sahimi , J. Peinke , M. Reza Rahimi Tabar

Despite a long history and a clear overall understanding of properties of random walks on an incipient infinite cluster in percolation, some important information on it seems to be missing in the literature. In the present work, we revisit…

Statistical Mechanics · Physics 2022-08-24 Adrian Pacheco-Pozo , Igor M. Sokolov

The solar wind is a magnetized and turbulent plasma. Its turbulence is often dominated by Alfv\'enic fluctuations and often deemed as nearly incompressible far away from the Sun, as shown by in-situ measurements near 1AU. However, for solar…

Solar and Stellar Astrophysics · Physics 2022-09-14 Xiangrong Fu , Hui Li , Zhaoming Gan , Senbei Du , John Steinberg

We find that multifractal scaling is a robust property of a large class of continuous stochastic processes, constructed as exponentials of long-memory processes. The long memory is characterized by a power law kernel with tail exponent…

Statistical Mechanics · Physics 2009-11-11 A. Saichev , D. Sornette

Stress concentration due to flaws in any material are very dangerous. Its understanding is thus very important before practical application of the material. As Fiber Reinforced Composite (FRC) is gaining wide range of application it is…

Applied Physics · Physics 2022-09-20 A. V. Sirsat , S. S Padhee