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K-clique percolation in free association networks and the possible mechanism behind the 7±2 law
Scientific Reports. 2022. Vol. 12. No. 1. Article 5540.
Olga Valba, Gorsky A.
It is important to reveal the mechanisms of propagation in diferent cognitive networks. In this study, we discuss the k-clique percolation phenomenon as related to the free association networks including the English Small World of Words project (SWOW-EN). We compared diferent semantic networks and networks of free associations for various languages. Surprisingly, k-clique percolation for all k < kc = 6–7 is possible on free association networks of diferent languages. Our analysis suggests new universality patterns for a community organization of free association networks. We conjecture that our result can provide a qualitative explanation of Miller’s 7 ± 2 rule for the capacity limit of working memory. A new model of network evolution extending the preferential attachment is suggested, providing the observed value of kc.
Неверов В. Д., Красавин А. В., Vagov A. et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 P. 1–6
We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...
Added: September 5, 2026
Sheshukova M., Durmus A., Khusainov M. et al., Statistics 2026 P. 1–25
In this paper, we consider the problem of Gaussian approximation for the online linear regression task. We derive the corresponding rates for the setting of a constant stepsize and study the explicit dependence of the convergence rate on the problem dimension d and quantities related to the design matrix. When the number of iterations n is known in advance, ...
Added: September 4, 2026
Proceedings of Machine Learning Research , 2026.
Added: September 4, 2026
Khodadoust J., Kulikova S., Khodadoust F., Biomedical Signal Processing and Control 2027 Vol. 129 P. 111284–111284
Acute ischemic stroke (AIS) analysis from two-dimensional (2D) clinical imaging is hindered by uncontrolled slice tilt and geometric inconsistencies that violate the assumptions of pose-agnostic deep learning (DL) models. This paper proposes a unified geometry-aware, frequency-domain framework for tilted slice localization and ischemic stroke segmentation that explicitly decouples pose estimation from lesion analysis. The method ...
Added: September 2, 2026
IEEE, 2026.
On behalf of the Organizing Committee, it is my great pleasure to extend a warm
welcome to all participants of the Fourth International IEEE Conference on
Distributed Computing and High-Performance Computing (DCHPC 2026), held
in Tehran from May 10–11, 2026. This conference is jointly organized by the
School of Computer Science at the Institute for Research in Fundamental
Sciences (IPM) ...
Added: September 2, 2026
Avdoshin S.M., Patrushev K. A., Proceedings of the Institute for System Programming of the RAS 2026 No. 4 часть 2 P. 245–256
The cardinality-constrained Markowitz problem is NP-hard and traditionally solved with commercial MIQP solvers. Following the 2022 export restrictions that rendered both commercial MIQP software and cloud quantum platforms (IBM Quantum, D-Wave Leap) inaccessible from the Russian Federation, practitioners require open-source alternatives. This paper systematically compares three solver families for the discrete mean-variance problem: two open-source ...
Added: August 27, 2026
Zaikin A., Vlasenko D., Zakharov D. et al., Diagnostics 2026 Vol. 16 No. 17 P. 1–15
Background/Objectives: Synolitic graphs (SGs) were developed for task-based fMRI, where
edge weights encode the discriminative power of pairwise regional features; whether similar
information can be recovered from resting-state data was untested. We benchmarked
SGs for autism spectrum disorder (ASD) classification using the multisite ABIDE-I dataset
(871 subjects: 403 subjects with ASD, 468 typical controls; 17 sites; CC200 atlas). Methods:
Using ...
Added: August 27, 2026
Тула: Тульский государственный педагогический университет им. Л.Н. Толстого, 2025.
Сборник содержит материалы, представленные на XXIV Международной конференции «Алгебра, теория чисел, дискретная геометрия и многомасштабное моделирование: современные проблемы, приложения и проблемы истории», посвящённой 110-летию со дня рождения академика Юрия Владимировича Линника и 110-летию со дня рождения профессора Андрея Борисовича Шидловского и 80-летию со дня рождения профессора Геннадия Ивановича Архипова. Материалы конференции будут полезны научным работникам, ...
Added: August 27, 2026
Eduard Sopin, Nazarin A., Begishev V. et al., IEEE Transactions on Vehicular Technology 2026 Vol. 75 No. 6 P. 10995–11007
Aimed at rate-greedy applications having extreme requirements for the data rate at the air interface, 5G New Radio (NR) systems may experience problems when the number of user equipment (UE) in the coverage of the cell increases due to limited capacity of the physical downlink control channel (PDCCH).The aim of this study is to explore ...
Added: August 26, 2026
Джонов А. Т., Avdoshin S. M., Информационные технологии 2026 Т. 32 № 8 С. 421–427
This systematic review presents an analysis of the "Vibe Coding" methodology — a contemporary approach to the iterative software development process using Large Language Models (LLMs). Code generation tools are transforming software development by enabling programmers to formulate tasks and describe the desired behavior of software in natural language, while LLMs generate source code corresponding ...
Added: August 25, 2026
Melman A., Evsyutin O., Journal of the Franklin Institute 2026 Vol. 363 No. 15 Article 109005
Open access to images creates opportunities for violation of the authors' rights. Digital watermarks can be used to securely publish images online. They are invisibly added into the images before publication and can be extracted at any time to verify ownership. However, achieving a balance between embedding imperceptibility and robustness to image processing operations is ...
Added: August 25, 2026
IEEE, 2026.
It is with great pleasure that we welcome all the participants of the 12th Conference on Control, Decision and Information Technologies (CoDIT 2026) at the Polytechnic University of Bari – Orabona Street 4, 70125 Bari, Italy, July 13-16, 2026. CoDIT has grown to become one of the largest conferences organized in Europe and in the ...
Added: August 24, 2026
Лукьяненко Д. В., Ragimova A., Мухорина А. et al., European Physical Journal: Special Topics 2026 P. 1–24
Electronic health records (EHRs) contain vast volumes of clinical information that encode complex relationships between diseases. Traditional approaches to the analysis of interrelated or co-occurring diseases have focused on pairwise associations between diagnoses, missing the higher-order structures that characterise multimorbid patients. The present paper offers a narrative review of existing statistical, machine-learning, and artificial intelligence ...
Added: August 20, 2026
CEUR-WS.org, 2026.
The second edition of the Generative Code Intelligence Workshop (GeCoIn 2026) was held in conjunction with the 35th International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2026), in Bremen, Germany, August 16, 2026. The workshop arose from the desire to bring together a research community that has, in recent years, witnessed rapid progress in the application ...
Added: August 20, 2026
Ryumina E., Aksenov A., Koryakovskaya D. et al., IEEE Access 2026 Vol. 14 P. 124759–124778
Psychological characteristic estimation from multimodal in-the-wild behavior is usually studied using separate corpora, each annotated for a single target task. Such annotation fragmentation limits cross-task learning and cross-domain generalization across affective, dispositional, and interactional phenomena. To address this problem, we use emotion, apparent personality trait, and ambivalence recognition as representative tasks and introduce MM-PSYCHE, a ...
Added: August 20, 2026
Association for Computational Linguistics, 2026.
19th Conference of the European Chapter of the Association for Computational Linguistics, Workshop on Linguistic Analysis for Health (2026) ...
Added: August 19, 2026
Vlasenko D., Saranskaia I., Zakharov D., European Physical Journal: Special Topics 2026 P. 1–16
Hypergraphs provide a natural framework for representing neurophysiological interactions distributed across sets of sensors. A key methodological question is how hyperedges should be defined from frequency-resolved electroencephalography/magnetoencephalography (EEG/MEG) data. We demonstrate a construction strategy in which hyperedges are obtained from canonical coherence (caCOH), an extension of coherence that estimates coupling between multidimensional signal spaces. To ...
Added: August 18, 2026
Moshkin A., Fedorov M., Arlazarov V. et al., Algorithms 2026 Vol. 19 No. 7 Article 523
Artificial intelligence (AI) technologies, which are being actively developed in modern medicine today, increase the speed and quality of patient care. This article mainly seeks to demonstrate the use of various options of computer analysis of clinical images to solve practical problems of increasing the efficiency of routine diagnostics using retrospective analysis, as well as ...
Added: August 17, 2026
Springer, 2026.
The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible ...
Added: August 16, 2026
Barkhatova L., В кн.: Человек в информационном обществе: сборник материалов третьей международной научно-практической конференции, посвящённой 80-летию Победы в Великой Отечественной войне, 23–26 апреля 2025 года, г. Самара.: Самара: Самарский национальный исследовательский университет имени академика С.П. Королева, 2025. С. 94–98.
The analytical possibilities of using semantic network analysis in qualitative research are considered. A scheme for constructing a semantic map and its integration with the results of the qualitative stage is proposed. It is shown that the implementation of semantic networks for analyzing qualitative data enables validation of conclusions. ...
Added: January 25, 2026
Готлиб А. С., Лехциер В. Л., Barkhatova L. et al., В кн.: Процедуры и методы социологического исследования. Методы анализа данных в качественном социологическом исследовании: практикум.: Самара: Издательство Самарского университета, 2024. С. 105–204.
Глава посвящена особенностям применения семантического сетевого анализа в качественном социологическом исследовании. ...
Added: February 20, 2025
Dmitriev A., Lebedev A., Kornilov V. et al., Frontiers in Physics 2025 Vol. 12 Article 1508465
Our study is based on the hypothesis that stock exchanges, being nonlinear, open and dissipative systems, are capable of self-organization to the edge of a phase transition. To empirically support the hypothesis, we find segments in hourly stock volume series for 3,000 stocks of publicly traded companies, corresponding to the time of stock exchange’s stay ...
Added: January 23, 2025
Chertenkov V., Shchur L., / Series arXiv "math". 2024. No. 2411.13027.
The main question raised in the letter is the applicability of a neural network trained on a spin lattice model in one universality class to test a model in another universality class. The quantities of interest are the critical phase transition temperature and the correlation length exponent. In other words, the question of transfer learning ...
Added: November 21, 2024
Sukhoverkhova D., Shchur L., Письма в Журнал экспериментальной и теоретической физики 2024 Т. 120 № 8 С. 644–649
In this paper, we applied a deep neural network to study the issue of knowledge transferability between statistical mechanics models. The following computer experiment was conducted. A convolutional neural network was trained to solve the problem of binary classification of snapshots of snapshots of the location of spins of the Ising model on a two-dimensional ...
Added: September 25, 2024