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GALA Inspired by Klimt's Art: Image-to-text Processing with Implementation in Interaction and Perception Studies: Library and Case Examples
Annual Review of CyberTherapy and Telemedicine. 2023. Vol. 21. P. 200–205.
Vlasov A.
Objectives: (a) to develop a library with AI generated content (AIGC) based on а combinatorial scheme of prompting for interaction and perception research; (b) to show examples of AIGC implementation. The result is a public library for applied research in the cyber-psychological community (CYPSY). The Generative Art Library Abstractions (GALA) include images (Figures 1-2) based on the text-image model and inspired by the artwork of Gustav Klimt. They can be used for comparative analysis (benchmarking), end-to-end evaluation, and advanced design. This allows experimentation with complex human-computer interaction (HCI) architectures and visual communication systems, and provides creative design support for experimenting. Examples include: interactive perception of positively colored generative images; HCI dialogues using visual language; generated moods in a VR environment; brain-computer interface for HCI. Respectfully, these visualization resources are a valuable example of AIGC for next-generation R&D. Any suggestions from the CYPSY community are welcome.
Publication based on the results of:
Yu Z., Wang J., Wang Z. et al., Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2026 Vol. 384 P. 1–16
The integration of data-driven and knowledge-driven approaches in generative geospatial modelling (GGM) is often hindered by their mathematical incompatibilities. Here, we propose a geometric algebra (GA)-based framework that employs a unified multi-vector representation to fuse heterogeneous data and diverse knowledge. The framework facilitates structured reasoning and hypothesis generation through a task-adaptable, five-stage cycle: representation, reasoning, ...
Added: August 13, 2026
Cham: Springer, 2026.
This book constitutes the proceedings of the 10th International Workshop Empowering Novel Geometric Algebra for Graphics and Engineering, ENGAGE 2025, held in conjunction with Computer Graphics International conference, CGI 2025, in Hong Kong, China, on July 14, 2025.
The 14 full papers included in this volume were carefully reviewed and selected from 16 submissions. The papers ...
Added: August 13, 2026
Ratnikov F., European Physical Journal: Special Topics 2026 P. 1–10
EEG recordings are often affected by the loss or corruption of individual channels due to electrode detachment, poor scalp contact, or external interference. Such channels must be accurately reconstructed before further analysis. In this study, we investigate Next-Generation Reservoir Computing (NG-RC) as a data-driven approach for reconstructing corrupted EEG channels and compare its performance with ...
Added: August 12, 2026
Minets M., Krasnozhenov G., Trofimova E. et al., PeerJ Computer Science 2026 Vol. 12 Article e4063
This article presents CAD2TechSpec, a novel framework for automating design processes within computer-aided design (CAD) systems by leveraging multimodal large language models (LLMs). The framework enables the analysis and generation of detailed design specifications, including the automated creation of machining process plans. Our system architecture combines 3D model rendering, dimensionality reduction techniques, and the capabilities ...
Added: August 12, 2026
Мизинов П. В., Journal of Computer Virology and Hacking Techniques 2023 No. 20 P. 383–396
Biometric vein recognition systems are vulnerable to presentation attacks. Traditionally, researchers have used a near-infrared (NIR) drawing of the user’s vascular bed to create a presentation attack instrument (PAI). This paper investigates the feasibility of using free software to capture a venous pattern of the hand without NIR under normal lighting conditions and to create ...
Added: August 11, 2026
Trubochkina N. K., М.: Издательство «Юрайт», 2026.
This textbook is designed to develop students' holistic understanding of modern production processes and methods for their analysis and management using machine learning technologies. In the context of the fourth industrial revolution, where traditional engineering disciplines are inextricably intertwined with intelligent data processing methods, there is a growing need for specialists capable of integrating knowledge ...
Added: August 8, 2026
Vasilieva E., Bultseva M. A., Trifonova A., Current Psychology 2026 Vol. 45 Article 1320
The current exploratory study aims to reveal identity gaps and interpersonal communication strategies used by Russians to overcome social identity crises. Based on previous research, we assume that many Russians who live both in Russia and abroad face ethnic and national identity threats and experience different social identity crises due to recent geopolitical events. This ...
Added: August 6, 2026
Ulgen H., Journal of International Students 2026 Vol. 16 No. 17 P. 283–312
This study reports a secondary analysis of phenomenologically informed, semistructured interviews with 15 Turkish undergraduate and graduate students at three universities in Moscow and examines how peer networks function beyond emotional buffering to support academic engagement and institutional navigation in Russian–medium higher education. Drawing on social support theory, communities of practice, and community cultural wealth ...
Added: August 5, 2026
Radygina A., Kulikova S., Herald of the Russian Academy of Sciences 2025 Vol. 95 No. 6 P. 963–970
Musical training has a significant impact on brain organization, leading to functional and structural
adaptations that enhance auditory, visual, motor, and cognitive processes. This study investigates how
extensive musical training shapes functional brain connectivity by comparing professional musicians and
non-musicians. Using EEG phase-locking value (PLV) analysis, we examined neural synchronization across
alpha, beta, and gamma frequency ranges during music ...
Added: August 5, 2026
Фирсанова В. И., ACM, 2026.
The inclusion of autistic people can be augmented by a mobile app that provides information without a human mediator making information perception more liberating for people in the spectrum. This paper is an overview of a doctoral work dedicated to the development of a web-based mobile tool for supporting the inclusion of people on the ...
Added: August 4, 2026
Фирсанова В. И., Хлусова Я. К., CEUR Workshop Proceedings, 2025.
Knowledge graphs are widely used in Retrieval Augmented Generation (RAG) and Explainable AI (XAI), since they can illustrate semantic relationships generated by Large Language Models (LLMs). Recent studies focus on generating knowledge graphs from unstructured data to improve RAG performance; however, they do not explain the underlying graph structure. The analysis of synthetic graphs behind ...
Added: August 4, 2026
Zolotareva A., Социальные науки и детство 2026 Т. 7 № 2 С. 66–77
Context and relevance. Early detection of anxiety and depression symptoms is a priority task for the child and adolescent mental health system. As Russian practice traditionally relies on separate instruments, assessing anxiety and depression in isolation, there is a need for integrated instruments. Objective. To examine the factor structure of the Russian version of the ...
Added: August 4, 2026
Iskakova B., Kleinlein E. V., Prisyazhniuk D. et al., European Journal of Education 2026 Vol. 61 No. 3 Article e70810
This study examines pre-service teachers' (PSTs) attitudes towards inclusive education in Germany and Russia and investigates how they relate to teacher training curricula and teacher educators' discourse. A mixed-methods design was used, including an online survey of PSTs (n = 460) with an open-ended question, curriculum review and exploratory interviews with university educators in both contexts. The ...
Added: August 3, 2026
Reznichenko S. I., Кияненко И. К., Nartova-Bochaver S. K. et al., Экспериментальная психология 2026 Т. 19 № 2 С. 10–28
Abstract
Context and relevance. In the context of accelerated urbanization and a growing disconnect from the natural
environment, there is increasing interest in biophilic attitudes — a system of stable views, beliefs, and
evaluations that reflect a person’s relationship with living nature and shape their psychological well-being and
environmentally responsible behavior. Existing tools for their measurement, such as the ...
Added: August 3, 2026
Belomestny D., Gasnikov A., Gladin E. et al., Russian Mathematical Surveys 2026 Vol. 81 No. 4(490) P. 3–90
Reinforcement learning (RL) is increasingly grounded in tools from probability, optimization, and operator theory. This survey organizes the mathematical structures that underpin the design and analysis of modern algorithms in RL. We begin from Markov decision processes (MDPs) and the Bellman operators, emphasizing contraction mappings, monotonicity, and fixed-point theory that yield convergence guarantees and rates ...
Added: August 3, 2026
Chepovskiy A., М.: Мастерская Печати Идей, 2026.
The textbook presents methods and algoгithms for automatic analysis
of соrроrа of texts in natural languages. It is intended fоr sfudenБ of
methods of processing texts in паtчrаl languages and creating training
arays of texts.
Fоr students, graduate students and researchers studying methods
of computational linguistics and word processing. ...
Added: August 1, 2026
Ponomarenko A., / Series Computer Science "arxiv.org". 2025.
This paper addresses the challenge of merging hierarchical navigable small world (HNSW) graphs, a critical operation for distributed systems, incremental indexing, and database compaction. We propose three algorithms for this task: Naive Graph Merge (NGM), Intra Graph Traversal Merge (IGTM), and Cross Graph Traversal Merge (CGTM). These algorithms differ in their approach to vertex selection ...
Added: July 30, 2026
Lazarev M., Derkach D., Ratnikov F., Scientific data 2026 Vol. 13 Article 1003
In this study, we present a comprehensive set of experimental data aimed at uncovering the mechanisms and regularities governing the deformation behavior of composites reinforced with continuous carbon fibers (CF) based on thermoplastic polymers. This work describes data extraction techniques that can later be used to optimize the mechanical properties of such structures using neural ...
Added: April 23, 2026
Krasnov L., Malikov D., Kiseleva M. et al., Journal of Medicinal Chemistry 2026 Vol. 69 No. 8 P. 8838–8851
In this work, we developed a straightforward data-driven approach to predict the cytotoxicity of metal complexes based entirely on their (metal + ligands) composition. To this end, we have manually curated MetalCytoToxDB─a comprehensive experimental database comprising 26,500 IC50 values for 7050 metal complexes against 754 cell lines from 1921 articles. Based on these, machine learning ...
Added: April 23, 2026
Bernadotte A, Elfimov N., Menshikov I., Scientific data 2025 Vol. 13 No. 41
Accurate segmentation of brain vessels in magnetic resonance angiography (MRA) is essential for surgical procedures. Neural networks are powerful tools for medical image segmentation, but their development requires well-annotated datasets. However, publicly available MRA datasets with detailed vessel annotations are scarce. We present a dataset of 100 manually annotated brain MRA images from the IXI ...
Added: February 25, 2026
Golyadkin M., Plevokas I., Makarov I., , in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).: United States of America: IEEE, 2025. P. 5580–5590.
This paper addresses the challenge of artwork colorization by proposing a benchmark for manga colorization using real black-and-white and colorized image pairs. Color images are widely recognized for their ability to capture attention and improve memory retention, yet the manual process of colorization is labor-intensive. Deep learning methods for supervised image-to-image translation offer a promising ...
Added: April 29, 2025
Svetlana Kovalenko, Mamonov A., Kuznetsov V. et al., Sensors 2023 Vol. 23 No. 13 Article 6197
Abstract
Detection of fatigue is extremely important in the development of different kinds of preventive systems (such as driver monitoring or operator monitoring for accident prevention). The presence of fatigue for this task should be determined with physiological and objective behavioral indicators. To develop an effective model of fatigue detection, it is important to record a ...
Added: January 27, 2025
Kseniia Prokudina, Mikhail Skriplyonok, Alexander Vostrikov, , in: 2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 20-24 May 2024.: IEEE, 2024. P. 865–869.
Added: November 26, 2024
A.A. Ziazetdinov, V.V. Zunin, I.I. Romanova, , in: 2024 International Russian Automation Conference (RusAutoCon).: IEEE, 2024. P. 937–942.
Added: September 19, 2024