Results 21 to 30 of about 573,156 (305)
Modeling fractal structure of city-size distributions using correlation functions.
Zipf's law is one the most conspicuous empirical facts for cities, however, there is no convincing explanation for the scaling relation between rank and size and its scaling exponent.
Yanguang Chen
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Atomistic processes during pulsed-laser deposition (PLD) growth influence the physical properties of the resulting films. We investigated the PLD of epitaxial layers of hexagonal LuFeO $$_3$$ 3 by measuring the X-ray diffraction intensity in the ...
Vít Gabriel +9 more
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Scaling Exponents of Time Series Data: A Machine Learning Approach
In this study, we present a novel approach to estimating the Hurst exponent of time series data using a variety of machine learning algorithms. The Hurst exponent is a crucial parameter in characterizing long-range dependence in time series, and ...
Sebastian Raubitzek +3 more
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Copolymer networks and stars: Scaling exponents [PDF]
We explore and calculate the rich scaling behavior of copolymer networks in solution by renormalization group methods. We establish a field theoretic description in terms of composite operators. Our 3rd order resummation of the spectrum of scaling dimensions brings about remarkable features: The special convexity properties of the spectra allow for a ...
von Ferber, Christian, Holovatch, Yurij
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Scaling exponent of each text belonging to the different genres in Korean texts.
Scaling exponent of each text belonging to the different genres in Korean texts.
Minhyuk Jeong (16913876) +8 more
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Sizing up allometric scaling theory. [PDF]
Metabolic rate, heart rate, lifespan, and many other physiological properties vary with body mass in systematic and interrelated ways. Present empirical data suggest that these scaling relationships take the form of power laws with exponents that are ...
Van M Savage +2 more
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Percolation critical exponents in scale-free networks [PDF]
We study the behavior of scale-free networks, having connectivity distribution P(k) k^-a, close to the percolation threshold. We show that for networks with 34.
Cohen, Reuven +2 more
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Mean field approximation for biased diffusion on Japanese inter-firm trading network. [PDF]
By analysing the financial data of firms across Japan, a nonlinear power law with an exponent of 1.3 was observed between the number of business partners (i.e. the degree of the inter-firm trading network) and sales.
Hayafumi Watanabe
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Anomalous Scaling Exponents in Nonlinear Models of Turbulence [PDF]
We propose a new approach to the old-standing problem of the anomaly of the scaling exponents of nonlinear models of turbulence. We construct, for any given nonlinear model, a linear model of passive advection of an auxiliary field whose anomalous scaling exponents are the same as the scaling exponents of the nonlinear problem.
Angheluta, L +4 more
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A Simplified Scaling Law of Cell-Dendrite Transition in Directional Solidification
To describe the cell-dendrite transition (CDT) during directional solidification, a new simplified scaling law is proposed and verified by quantitative phase field simulations.
Yaochan Zhu +3 more
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