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Entropy, Volume 27, Issue 10

October 2025 - 93 articles

Cover Story: This cover illustrates the study’s framework of combining EEG entropy analysis with machine learning to distinguish psychogenic non-epileptic seizures (PNES) from epileptic seizures (ES). Entropy measures capture changes in neural complexity across interictal and preictal states, showing that entropy in PNES is higher during interictal periods but lower during preictal periods compared with ES. The study workflow includes data collection, preprocessing, entropy computation, channel importance, and classification. This study underscores how entropy dynamics can improve diagnostic differentiation between PNES and ES. View this paper
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Articles (93)

  • Feature Paper
  • Article
  • Open Access
512 Views
31 Pages

21 October 2025

Mass-balanced compartmental systems defy classical deterministic entropy measures since both metric and topological entropy vanish in dissipative dynamics. By interpreting open compartmental systems as absorbing continuous-time Markov chains that des...

  • Article
  • Open Access
593 Views
23 Pages

20 October 2025

Due to the interference of artifacts and the nonlinearity of electroencephalogram (EEG) signals, the extraction of representational features has become a challenge in EEG emotion recognition. In this work, we reduce the dimensionality of phase space...

  • Article
  • Open Access
563 Views
23 Pages

20 October 2025

This paper develops a nonlinear shrinkage estimation method for higher-order moment matrices within a multifactor model framework and establishes its asymptotic consistency under high-dimensional settings. The approach extends the nonlinear shrinkage...

  • Article
  • Open Access
445 Views
24 Pages

19 October 2025

In the existing literature, targeting rules are typically determined separately for monetary and fiscal policy. This article proposes a framework for determining targeting rules that account for the policy mix of both monetary and fiscal policy. The...

  • Article
  • Open Access
343 Views
20 Pages

19 October 2025

The two-star random graph is the simplest exponential random graph model with nontrivial interactions between the graph edges. We propose a set of auxiliary variables that control the thermodynamic limit where the number of vertices N tends to infini...

  • Article
  • Open Access
518 Views
20 Pages

19 October 2025

The spread of epidemic-associated panic information through online social platforms, as well as the allocation and utilization of therapeutic defensive resources in reality, directly influences the transmission of infectious diseases. Moreover, how t...

  • Article
  • Open Access
430 Views
21 Pages

Compatibility of a Competition Model for Explaining Eye Fixation Durations During Free Viewing

  • Carlos M. Gómez,
  • María A. Altahona-Medina,
  • Gabriela Barrera and
  • Elena I. Rodriguez-Martínez

18 October 2025

Inter-saccadic times or eye fixation durations (EFDs) are relatively stable at around 250 ms, equivalent to four saccades per second. However, the mean and standard deviation are not sufficient to describe the frequency histogram distribution of EFD....

  • Article
  • Open Access
432 Views
18 Pages

18 October 2025

To address low energy utilization efficiency and severe exergy destruction from direct discharge of high-temperature turbine exhaust, this study proposes a supercritical CO2 Brayton cogeneration system with a series-connected hot water heat exchanger...

  • Article
  • Open Access
456 Views
17 Pages

18 October 2025

Complex human diseases, including cancer, are linked to genetic factors. Genome-wide association studies (GWASs) are powerful for identifying genetic variants associated with cancer but are limited by their reliance on case–control data. We pro...

  • Article
  • Open Access
400 Views
27 Pages

Aggregation in Ill-Conditioned Regression Models: A Comparison with Entropy-Based Methods

  • Ana Helena Tavares,
  • Ana Silva,
  • Tiago Freitas,
  • Maria Costa,
  • Pedro Macedo and
  • Rui A. da Costa

16 October 2025

Despite the advances on data analysis methodologies in the last decades, most of the traditional regression methods cannot be directly applied to large-scale data. Although aggregation methods are especially designed to deal with large-scale data, th...

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Entropy - ISSN 1099-4300