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Microbial characterization based on multifractal analysis of metagenomes [PDF]

open access: yesFrontiers 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
doaj   +2 more sources

Multifractal analysis of mass function. [PDF]

open access: yesSoft comput, 2023
In order to explore the fractal characteristic in Dempster-Shafer evidence theory, a fractal dimension of mass function is proposed recently, to reveal the invariance of scale of belief entropy. When mass function degenerates to probability, the fractal dimension is equivalent to classical Renyi information dimension only with α=1, which can measure ...
Qiang C, Li Z, Deng Y.
europepmc   +3 more sources

A bivariate multifractal analysis approach to understanding socio-spatial segregation dynamics [PDF]

open access: yesScientific Reports
Although 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
doaj   +2 more sources

Characterization of nanofluids using multifractal analysis of a liquid droplet trace [PDF]

open access: yesScientific 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
doaj   +2 more sources

Multifractal analysis for nutritional assessment. [PDF]

open access: yesPLoS ONE, 2013
The concept of multifractality is currently used to describe self-similar and complex scaling properties observed in numerous biological signals. Fractals are geometric objects or dynamic variations which exhibit some degree of similarity (irregularity ...
Youngja Park   +6 more
doaj   +5 more sources

The Cross-correlation Structure of Tehran Stock Exchange Indexes by Multifractal Detrended Fluctuation Analysis [PDF]

open access: yesتحقیقات 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
doaj   +1 more source

A New Look at Calendar Anomalies: Multifractality and Day-of-the-Week Effect

open access: yesEntropy, 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
doaj   +1 more source

Multifractal Detrended Cross-Correlation Analysis of Global Methane and Temperature

open access: yesRemote 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
doaj   +1 more source

The Dynamic Effects of COVID-19 and the March 2020 Crash on the Multifractality of NASDAQ Insurance Stock Markets

open access: yesFractal 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
doaj   +1 more source

MULTIFRACTAL CROSS WAVELET ANALYSIS [PDF]

open access: yesFractals, 2017
Complex systems are composed of mutually interacting components and the output values of these components usually exhibit long-range cross-correlations. Using wavelet analysis, we propose a method of characterizing the joint multifractal nature of these long-range cross correlations, a method we call multifractal cross wavelet analysis (MFXWT).
ZHI-QIANG JIANG   +3 more
openaire   +2 more sources

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