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Symmetry

Symmetry is an international, peer-reviewed, open access journal covering research on symmetry/asymmetry phenomena wherever they occur in all aspects of natural sciences.
Symmetry is published monthly online by MDPI.
Quartile Ranking JCR - Q2 (Multidisciplinary Sciences)

All Articles (16,186)

Decoding Self-Imagined Emotions from EEG Signals Using Machine Learning for Affective BCI Systems

  • Charoenporn Bouyam,
  • Nannaphat Siribunyaphat and
  • Bukhoree Sahoh
  • + 1 author

Research on self-imagined emotional imagery supports the development of practical affective brain–computer interface (BCI) systems. This study proposes a hybrid emotion induction approach that combines facial expression image cues with subsequent emotional imagery, involving six positive and six negative emotions across two- or four-class valence and arousal categories. Machine learning (ML) techniques were applied to interpret these self-generated emotions from electroencephalogram (EEG) signals. Experiments were conducted to observe brain activity and validate the proposed feature and classification algorithms. The results showed that absolute beta power features computed from power spectral density (PSD) across EEG channels consistently achieved the highest classification accuracy for all emotion categories with the K-nearest neighbors (KNN) algorithm, while alpha–beta ratio features also contributed. The nonlinear parametric ML models achieved high effectiveness; the K-nearest neighbor (KNN) classifier performed best in detecting neutral states, while the artificial neural network (ANN) achieved balanced accuracy across emotional stages. The proposed system supports the use of the hybrid emotion induction paradigm and PSD-derived EEG features to develop reliable, subject-independent affective BCI systems. In future work, we will expand the datasets, employ advanced feature extraction and deep learning models, integrate multi-modal signals, and validate the proposed approaches across broader populations.

4 November 2025

Conceptual diagram of an EEG-based affective BCI for emotional state monitoring.

The objective of this manuscript is to investigate the existence, uniqueness criteria and Ulam–Hyers stability of solutions to tripled systems of the Hilfer–Hadamard type supplemented with symmetric nonlocal multi-point Riemann–Liouville integral boundary conditions. By converting the considered problem into an equivalent fixed-point problem, the existence and uniqueness are proven by application of the Leray–Schauder nonlinear alternative and Banach’s contraction principle, respectively. In addition, we discuss the Ulam–Hyers stability and generalized Ulam–Hyers stability of the results, and illustrative examples are also presented to demonstrate their correctness and effectiveness.

4 November 2025

This paper extends previous work on echo chambers modeled by an Ising-like system at zero temperature (Spontaneous Symmetry Breaking, Group Decision Making and Beyond 1: Echo Chambers and random Polarization, Symmetry 2024, 16(12), 1566). There, polarization emerged as a spontaneous symmetry-breaking process with a randomly selected direction. Here using a mean-field analysis and Monte Carlo simulations I show that this mechanism is highly vulnerable to minimal distortions. An external symmetry-breaking field, even very small, suffices to impose a global direction and suppress opposite domains, producing distorted full polarization. In contrast, a handful of quenched local fields with zero average do not erase polarization but reorganize it into opposing domains. Remarkably, as few as two opposed fields, if placed at tipping sites, can redirect the entire system. These fragile sites, indistinguishable from others, act as hidden tipping points that amplify microscopic biases into macroscopic outcomes. The difference in local field proportions is found to be instrumental to guaranteeing a winning majority. The results highlight how minimal, strategically placed interventions can override autonomous self-organization. The results could, if applicable to social media platforms, question their presumed democratic nature of consensus.

4 November 2025

Planar Graphs Without 4-Cycles Are (6, 6)-Colorable

  • Pongpat Sittitrai,
  • Wannapol Pimpasalee and
  • Keaitsuda Maneeruk Nakprasit
  • + 1 author

It has been shown that there is a planar graph without 3-cycles which is not -colorable for any given Δ1,Δ2. This inspires many research to obtain sufficient conditions for planar graphs without 4-cycles and other cycles to be -colorable. For example, planar graphs without k-cycles and 4-cycles are -colorable for each and (Δ1,Δ2)={(2,6),(3,4)}. In this work, we study the values of Δ1 and Δ2 that make a planar graph without only 4-cycles -colorable. We begin with Δ1=6 and Δ2=6. Planar graphs without 4-cycles are -colorable. Two colors in a -coloring, where Δ1=Δ2 are switchable, thus reflect the symmetry of the resulting coloring. Furthermore, some proof techniques are using the symmetry of these two colors.

4 November 2025

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Electron Diffraction and Structural Imaging
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Electron Diffraction and Structural Imaging

Editors: Partha Pratim Das, Arturo Ponce-Pedraza, Enrico Mugnaioli, Stavros Nicolopoulos

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Symmetry - ISSN 2073-8994Creative Common CC BY license