Scaling temporal dynamics in functional MRI (fMRI) signals have been evidenced for a
decade as intrinsic characteristics of ongoing brain activity (Zarahn et al.,). Recently, scaling …

This study assesses the efficiency of the West African Economic and Monetary Union
(WAEMU) regional stock exchange using daily data on its seven (7) sectoral indices from …

A novel method based on wavelet leaders multifractal features for rolling element bearing
fault diagnosis is proposed. The multifractal features, combined with scaling exponents …

Studies employing functional connectivity-type analyses have established that spontaneous
fluctuations in functional magnetic resonance imaging (fMRI) signals are organized within …

The following review will aid readers in providing an overview of scale‐free dynamics and
monofractal analysis, as well as its applications and potential in functional magnetic …

Background The temporal structure of macroscopic brain activity displays both oscillatory
and scale-free dynamics. While the functional relevance of neural oscillations has been …

We study how obsessive-compulsive disorder (OCD) affects the complexity and time-
reversal symmetry-breaking (irreversibility) of the brain resting-state activity as measured by …

This study presents the characterisation of multifractality of road excitation time series under
different road conditions for prediction of the durability of a suspension coil spring. Road …

Behavioral studies have shown that human cognition is characterized by properties such as
temporal scale invariance, heavy-tailed non-Gaussian distributions, and long-range …

We propose a new framework to extract the activity-related component in the BOLD
functional magnetic resonance imaging (fMRI) signal. As opposed to traditional fMRI signal …