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Microbial characterization based on multifractal analysis of metagenomes [PDF]
Frontiers in Cellular and Infection Microbiology, 2023 IntroductionThe species diversity of microbiomes is a cutting-edge concept in metagenomic research. In this study, we propose a multifractal analysis for metagenomic research.Method and ResultsFirstly, we visualized the chaotic game representation (CGR ...
Xian-hua Xie +5 more
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A bivariate multifractal analysis approach to understanding socio-spatial segregation dynamics [PDF]
Scientific ReportsAlthough the study of multifractal properties is now an established approach for the statistical analysis of urban data, the joint multifractal analysis of several spatial signals remains largely unexplored.
Janka Lengyel +4 more
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New Journal of Physics, 2015 Many complex systems generate multifractal time series which are long-range cross-correlated. Numerous methods have been proposed to characterize the multifractal nature of these long-range cross correlations.
Wen-Jie Xie +4 more
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Characterization of nanofluids using multifractal analysis of a liquid droplet trace [PDF]
Scientific Reports, 2022 The article presents an innovative approach to the analysis of nanofluids using a nonlinear multifractal algorithm. The conducted research concerned nanofluids prepared from SiO2 nanoparticles (~ 0.01 g) suspended in 100 ml of demineralized water and in ...
J. Augustyniak +7 more
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The Cross-correlation Structure of Tehran Stock Exchange Indexes by Multifractal Detrended Fluctuation Analysis [PDF]
تحقیقات مالی, 2012 One of the latest approaches for analyzing the coupled time series is MF-DXA. This technique has been used in many disciplines such as finance. In this paper, we have analyzed Tehran Stock Exchange indexes by MF-DXA and have found a scaling behavior ...
Reza Tehrani +2 more
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A New Look at Calendar Anomalies: Multifractality and Day-of-the-Week Effect
Entropy, 2022 Stock markets can become inefficient due to calendar anomalies known as the day-of-the-week effect. Calendar anomalies are well known in the financial literature, but the phenomena remain to be explored in econophysics.
Darko Stosic +4 more
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Topics in Cognitive Science, EarlyView., 2023 Abstract Fractal fluctuations are a core concept for inquiries into human behavior and cognition from a dynamic systems perspective. Here, we present a generalized variance method for multivariate detrended fluctuation analysis (mvDFA). The advantage of this extension is that it can be applied to multivariate time series and considers intercorrelation ...
Sebastian Wallot +5 more
wiley +1 more source
Multifractal Detrended Cross-Correlation Analysis of Global Methane and Temperature
Remote Sensing, 2020 Multifractal Detrended Cross-Correlation Analysis (MF-DCCA) was applied to time series of global methane concentrations and remotely-sensed temperature anomalies of the global lower and mid-troposphere, with the purpose of investigating the multifractal ...
Chris G. Tzanis +3 more
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Fractal and Fractional, 2023 Triggered by COVID-19, one of the most dramatic crashes in the stock market in history occurred in March 2020. The sharp reductions in NASDAQ insurance stock indexes were observed after the occurrence of COVID-19 and in March 2020.
Xing Li, Fang Su
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Abduction and Deduction in Dynamical Cognitive Science
Topics in Cognitive Science, EarlyView., 2023 Abstract This paper reviews the recent history of a subset of research in dynamical cognitive science, in particular that subset that allies itself with the sciences of complexity and casts cognitive systems as interaction dominant, noncomputational, and nonmodular. I look at this history in the light of C.S.
Anthony Chemero
wiley +1 more source