Results 61 to 70 of about 721 (133)

Effect of the Long-Term Mean and the Temporal Stability of Water-Energy Dynamics on China’s Terrestrial Species Richness

open access: yesISPRS International Journal of Geo-Information, 2017
Water-energy dynamics broadly regulate species richness gradients but are being altered by climate change and anthropogenic activities; however, the current methods used to quantify this phenomenon overlook the non-linear dynamics of climatic time-series
Chunyan Zhang   +6 more
doaj   +1 more source

The Relative Accuracy of Different Methods for Measuring Mind Wandering Subtypes: A Systematic Review

open access: yesBrain and Behavior, Volume 15, Issue 8, August 2025.
How do we accurately measure mind wandering? This review compares five methods: from self‐reports (prone to bias) to brain scans (precise but expensive). No single method captures all aspects, so we propose the MAMW framework—a unified approach combining strengths of each technique.
Sholeh Nazari   +2 more
wiley   +1 more source

A time‐series perspective on executive functioning: The benefits of a dynamic approach to random number generation

open access: yesInternational Journal of Methods in Psychiatric Research, 2023
Objectives Executive functioning (EF) is a key topic in neuropsychology. A multitude of underlying processes and constructs have been suggested to explain EF, which are measured by at least as many different neuropsychological tests. However, these tests
Wouter Oomens   +3 more
doaj   +1 more source

An intelligent algorithm to fast and accurately detect chaotic correlation dimension

open access: yesRiver, Volume 4, Issue 2, Page 253-264, May 2025.
Abstract Detecting the complexity of natural systems, such as hydrological systems, can help improve our understanding of complex interactions and feedback between variables in these systems. The correlation dimension method, as one of the most useful methods, has been applied in many studies to investigate the chaos and detect the intrinsic dimensions
Mengyan Shen   +3 more
wiley   +1 more source

Automatic Epilepsy Seizure Classification Using EEG Signals Based on the CNN‐LSTM Model

open access: yesIET Signal Processing, Volume 2025, Issue 1, 2025.
Epilepsy is a neurological disorder characterized by frequent seizures and abnormal brain activity. It is typically diagnosed by examining electroencephalogram (EEG) recordings from epilepsy patients. Early detection and careful monitoring of children with epilepsy are crucial to preventing damaging spikes before the onset of the first seizure ...
C. Ruth Vinutha   +8 more
wiley   +1 more source

Recurrence quantification analysis of two solar cycle indices

open access: yesJournal of Space Weather and Space Climate, 2017
Solar activity affects the whole heliosphere and near-Earth space environment. It has been reported in the literature that the mechanism responsible for the solar activity modulation behaves like a low-dimensional chaotic system.
Stangalini Marco   +3 more
doaj   +1 more source

A New Box‐Counting‐Based‐Image Fractal Dimension Estimation Method for Discharges Recognition on Polluted Insulator Model

open access: yesIET Science, Measurement &Technology, Volume 19, Issue 1, January/December 2025.
This study presents an innovative approach to identify electrical discharges by proposing an algorithm involving the concept of fractal geometry. Based on the box‐counting method, our algorithm is developed to detect and track the progression of electrical discharges leading to flashover.
Imene Ferrah   +4 more
wiley   +1 more source

Focal impulse and rotor modulation of atrial rotors during atrial fibrillation leads to organization of left atrial activation as reflected by waveform morphology recurrence quantification analysis and organizational index

open access: yesJournal of Arrhythmia, 2020
Background Focal impulse and rotor modulation (FIRM) can cause slowing, organization, and occasionally termination of atrial fibrillation (AF), although results have been mixed.
Peter R. Liu   +5 more
doaj   +1 more source

Nonlinear dynamical analysis of GNSS data: quantification, precursors and synchronisation

open access: yesProgress in Earth and Planetary Science, 2018
The goal of any nonlinear dynamical analysis of a data series is to extract features of the dynamics of the underlying physical and chemical processes that produce that spatial pattern or time series; a by-product is to characterise the signal in terms ...
Bruce Hobbs, Alison Ord
doaj   +1 more source

Recurrence quantification analysis of resting state EEG signals in autism spectrum disorder – a systematic methodological exploration of technical and demographic confounders in the search for biomarkers

open access: yesBMC Medicine, 2018
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a worldwide prevalence of 1–2%. In low-resource environments, in particular, early identification and diagnosis is a significant challenge. Therefore, there is a great demand
T. Heunis   +6 more
doaj   +1 more source

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