Results 61 to 70 of about 577,532 (155)

Scale‐Dependent Inverse Temperature Features Associated With Crashes in the US and Japanese Stock Markets

open access: yesComplexity, Volume 2025, Issue 1, 2025.
Some complex systems (e.g., an ecosystem) in direct contact with an environment can be assigned the temperature of the environment. Other complex systems, such as human beings, can maintain a core temperature of 36.5°C in environments with different temperatures, at least for a short period of time.
Peter Tsung-Wen Yen   +2 more
wiley   +1 more source

Tsallis Relative Entropy and Anomalous Diffusion

open access: yes, 2012
In this paper we utilize the Tsallis relative entropy, a generalization of the Kullback–Leibler entropy in the frame work of non-extensive thermodynamics to analyze the properties of anomalous diffusion processes.
Karl Heinz Hoffmann   +2 more
core   +1 more source

Structure and diversity patterns of coralligenous cliffs across three ecoregions in the Central‐Western Mediterranean Sea

open access: yesDiversity and Distributions, Volume 30, Issue 9, September 2024.
Abstract Aim Coralligenous reefs are the main marine bioconstructions in terms of spatial distribution within the Mediterranean basin. Two distinct reef morphologies can be distinguished based on the surface and topographical features of the seafloor: cliffs developing vertical slopes and banks found on gently steep or horizontal bottoms. Despite their
Edoardo Casoli   +21 more
wiley   +1 more source

Long-range interactions, doubling measures and Tsallis entropy

open access: yes, 2014
We present a path toward determining the statistical origin of the thermodynamic limit for systems with long-range interactions. We assume throughout that the systems under consideration have thermodynamic properties given by the Tsallis entropy. We rely
Nikos Kalogeropoulos
core   +1 more source

Inference of gene regulatory networks from time series by Tsallis entropy [PDF]

open access: yes, 2011
Background: The inference of gene regulatory networks (GRNs) from large-scale expression profiles is one of the most challenging problems of Systems Biology nowadays. Many techniques and models have been proposed for this task.
Roberto M Cesar   +6 more
core   +1 more source

The Separability Problem in Molecular Quantum Systems: Information‐Theoretic Framework for Atoms in Molecules

open access: yesChemPhysChem, Volume 25, Issue 14, July 15, 2024.
We explore the mathematical underpinnings of partitioning a molecule into its constituent atoms through the Atoms‐in‐Molecules (AIM) approach, validating its applicability through concepts from Information Theory. We present information‐theoretic justifications for employing some of the most widely utilized AIM partitioning schemes in chemistry, such ...
Rodolfo O. Esquivel, Edmundo Carrera
wiley   +1 more source

Tsallis Entropy for Cross-Shareholding Network Configurations. [PDF]

open access: yes, 2020
In this work, we develop the Tsallis entropy approach for examining the 1 cross-shareholding network of companies traded on the Italian stock market. In such a network, 2 the nodes represent the companies, and the links represent the ownership.
Roy Cerqueti (3330978)   +8 more
core   +1 more source

Are Foreshocks Fore‐Shocks?

open access: yesJournal of Geophysical Research: Solid Earth, Volume 129, Issue 2, February 2024.
Abstract Foreshocks are spatially clustered seismic events preceding large earthquakes. Since the dawn of seismology, their occurrence has been identified as a possible mechanism leading to further crustal destabilization, hence, to major failures. However, several cases occurred without any previous anomalous seismic activity, so that the hypothesis ...
Davide Zaccagnino   +4 more
wiley   +1 more source

Fast and accurate image registration using Tsallis entropy and simultaneous perturbation stochastic approximation

open access: yes, 2001
The Tsallis measure of mutual information is combined with the simultaneous perturbation stochastic approximation algorithm to register images. It is shown that Tsallis entropy can improve registration accuracy and speed of convergence, compared with ...
Nailon, W.H.   +6 more
core   +1 more source

Network Intrusion Detection Using Knapsack Optimization, Mutual Information Gain, and Machine Learning

open access: yesJournal of Electrical and Computer Engineering, Volume 2024, Issue 1, 2024.
The security of communication networks can be compromised through both known and novel attack methods. Protection against such attacks may be achieved through the use of an intrusion detection system (IDS), which can be designed by training machine learning models to detect cyberattacks.
Akindele S. Afolabi   +2 more
wiley   +1 more source

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