Results 61 to 70 of about 7,436,694 (204)
A Fast DFA Algorithm for Multifractal Multiscale Analysis of Physiological Time Series
Detrended fluctuation analysis (DFA) is a popular tool in physiological and medical studies for estimating the self-similarity coefficient, α, of time series. Recent researches extended its use for evaluating multifractality (where α is a function of the
Paolo Castiglioni, Andrea Faini
doaj +1 more source
Analysis of the effect of COVID‐19 on crude oil and agricultural commodity market relationships
Abstract This study examines the COVID‐19 pandemic's effect on relationships between crude oil and agricultural commodity markets. Using a Time‐Varying Parameter Vector Autoregressive model, we find strong volatility transmission, with Brent, WTI, corn, and soybean prices acting as net shock transmitters, while cotton and wheat are net receivers ...
Derick Adu +2 more
wiley +1 more source
Parkinson's Disease and Retinal Age Gap: A Cross‐Sectional Analysis
Abstract Background Deep‐learning models are capable of predicting age from retinal scans and the difference between this and chronological age, retinal age gap, has been shown to be significantly associated with risk of mortality, cardiovascular diseases, and kidney failure.
Akshay Narayan +9 more
wiley +1 more source
Moments of the weighted Cantor measures
Based on the seminal work of Hutchinson, we investigate properties of α-weighted Cantor measures whose support is a fractal contained in the unit interval.
Harding Steven N. +1 more
doaj +1 more source
The goal of this work is to look at how a nonlinear model describes hematopoiesis and its complexities utilizing commonly used techniques with historical and material links. Based on time delay, the Mackey–Glass model is explored in two instances. To offer a range, the relevance of the parameter impacting stability (bifurcation) is recorded.
Shuai Zhang +5 more
wiley +1 more source
ABSTRACT The rotor system of an electrically assisted turbocharger (EAT) is composed of multiple shaft components; The nonlinear connection and contact effects make it difficult to determine the system dynamic characteristics. To improve the modeling accuracy of EAT rotor system and evaluate the influence of contact between multi‐axis components and ...
Wenchao Liang +5 more
wiley +1 more source
Fixed point theorem and iterated function system in φ-metric modular space
We introduce and study the concept of φ-metric modular space and, then define φ-α-Meir-Keeler contraction on it and explore its fixed point. Further, we define the Hausdorff distance between two non-empty compact subsets of the considered space.
Bikramjit Acharjee, Guru Prem Prasad M
doaj +1 more source
ABSTRACT Integrating distributed temperature sensing (DTS) and distributed acoustic sensing (DAS) data with numerical simulations to analyze inter‐well interference and production responses remains challenging. This study employs a coupled thermal–hydraulic–mechanical simulation framework to model heat transfer, fluid flow, and geomechanical responses ...
Chuanyao Zhong +3 more
wiley +1 more source
Environmental Stressors Influence Spatial Complexity in a Fluvial Macrophyte meadow
This research investigates the nonlinear relationships between environmental stressors and the fine‐scale spatial complexity of a fluvial macrophytes meadow. The use of multivariate spatial analysis allowed us to identify two major environmental gradients (nutrients and light) and two major complexity gradients (related to abundance and fragmentation).
Arthur de Grandpré +2 more
wiley +1 more source
Stochastic processes and mean square calculus on fractal curves
In this paper, random and stochastic processes are defined on fractal curves. Fractal calculus is used to define the cumulative distribution function, probability density function, moments, variance, and correlation function of stochastic processes on ...
Serpa, Cristina +3 more
core +1 more source

