?
Искусственный интеллект в решении актуальных социальных и экономических проблем ХХI века
Academic editor: Yasnitsky L., Т. В. Миролюбова, Radionova M. V., Plotnikova E. G.
Editor-in-chief: Yasnitsky L.
This collection presents the proceedings of the Ninth All-Russian Scientific and Practical Conference with International Participation, "Artificial Intelligence in Solving Current Social and Economic Problems of the 21st Century," which was held October 17–18, 2024, in Perm. The collection is intended for researchers and educators, lecturers, postgraduate and master's students, undergraduates, and anyone interested in the challenges and prospects for the development and application of artificial intelligence methods.
Chapters
Kolesnik N. A., В кн.: Искусственный интеллект в решении актуальных социальных и экономических проблем ХХI века.: Пермь: Пермский государственный национальный исследовательский университет, 2024. С. 159–162.
В статье рассмотрено использование технологий искусственного интеллекта для формирования экономики замкнутого цикла. Были систематизированы ключевые инициативы и практики в соответствии с производственно-сбытовой цепочкой по трём направлениям формирования экономики замкнутого цикла: сокращение (reduce), повторное использование (reuse), переработка (recycle). Систематизация направлений использования искусственного интеллекта по этапам производственно-сбытовой цепочки позволяет использовать большой потенциал технологий для большего благополучия бизнеса, ...
Added: November 19, 2025
Shartova N., Mironova E., Geo Journal 2026 Vol. 91 P. 1–17
The historical timeline of urban development profoundly shapes the contemporary form and functionality of cities. Traditionally, cities were planned with limited consideration for the promotion of a healthy urban environment. Using Nizhny Novgorod, Russia, a city that has evolved from a medieval market town to an industrial centre and later into a multifunctional city with ...
Added: August 9, 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
Potanin B., Statistics and Computing 2026 Vol. 36 Article 200
We propose double machine learning (DML) estimators for a partially linear model (PLM) with endogenous treatments and multivariate sample selection. We prove asymptotic normality of the estimators under mild regularity conditions and study finite sample properties on simulated data. The results demonstrate the importance of addressing sample selection in PLMs and the usefulness of the ...
Added: August 8, 2026
Korotayev A., Guseinov R., Ustyuzhanin V., Political Studies Review 2026 P. 1–22
In recent years, a kind of “Berlin Wall” has emerged between the study of “revolutions” and “maximalist campaigns.” Although scholars in these two traditions analyze closely related phenomena, they use different terminology, bodies of literature, and empirical conventions. We argue that this separation is analytically costly and prevents fruitful dialogue. On one hand, this leads ...
Added: August 8, 2026
David J. L., Leonid Grinin, Korotayev A., Springer, 2026.
Complexity is widely acknowledged as a foundational and pivotal concept in Big History, offering a unifying lens through which to examine the emergence and development of systems—from particles and galaxies to life, civilizations, and beyond. Yet, despite its centrality, major gaps remain in how we define, measure, and interpret complexity across different phases and scales. ...
Added: August 7, 2026
Styrin E. M., Vigoda-Gadot E., Levitats Z., Asia Pacific Journal of Public Administration, Великобритания 2026 P. 1–23
Governance is rapidly digitising, yet how citizens’ emotions towards algorithmic policy decision-making relate to their trust in governance institutions remains understudied. Drawing on the affect-as-information model, we argue that emotions constitute a distinct input into institutional trust judgements, operating both directly and by conditioning the weight of cognitive evaluations. We test this argument with a ...
Added: August 7, 2026
Manchester: Manchester University Press, 2026.
Knowledge Diplomacy examines particular and cultural antecedents to the development of the field; and its predominance in western thinking and critiques. Crucially, it does so not just from the perspective of scholars but also by consciously drawing on the perspectives of practitioners.
The development of Knowledge Diplomacy allows for increased understanding of the role of research, ...
Added: August 7, 2026
Papushina I. O., Shenkman E., Социологические исследования 2026 № 7 С. 31–43
The external shocks of 2022 have altered the operating environment for Russian
companies and the demand for skilled workers. This study examines how demand has responded for
different categories of professionals in the fashion industry, where the departure of international brands
has simultaneously increased uncertainty and opened up market niches for Russian manufacturers.
The empirical basis of the research ...
Added: August 7, 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
L.: Routledge, 2026.
This volume explores how generative artificial intelligence is reshaping universities worldwide. Rather than focusing only on the technology, it shows how Artificial Intelligence (AI) is changing how students learn, teachers teach, and institutions operate, while also being shaped by cultural values, educational traditions, and social expectations.
Bringing together international case studies from regions including Europe, the ...
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
Gaete Sepulveda M. A., Dymarskaya O. Y., Chesnokov-Posadsky I. et al., М.: Грифон, 2026.
Recognizing the transformative potential of social entrepreneurship, the Reputation Management in Education Laboratory (RepLab) at the Higher School of Economics in St. Petersburg and the ACT Lab at the Azman Hashim International Business School (AHIBS) at the University of Technology Malaysia (UTM) established the Satellite Lab for Social Entrepreneurship in 2023. This joint initiative aimed ...
Added: August 5, 2026
Gaete Sepulveda M. A., Rozhdestvenskaia N., Кулькова В. Ю. et al., М.: Грифон, 2026.
This workbook is a practical guide for those who are ready to turn their desire to take action into a sustainable social entrepreneurship business model. The social entrepreneurship roadmap is structured around the steps “I’m changing the world” — “I’m developing a comprehensive approach,” guiding you from identifying problems and analyzing stakeholders, through formulating goals ...
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
Vlassov V., JAMA - Journal of the American Medical Association 2026 P. 1–6
Importance Elevated low-density lipoprotein cholesterol (LDL-C) is a modifiable risk factor for cardiovascular disease, the leading cause of premature death worldwide. Assessing the LDL-C–related burden is critical for guiding prevention and treatment strategies.
Objectives To estimate the global, regional, and national burden of ischemic heart disease and ischemic stroke attributable to elevated LDL-C (relative to 35-54 mg/dL) from ...
Added: August 4, 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
Provlotskaya I., Minnigulova A., Gordeyeva E. et al., Brain Structure and Function 2026 Vol. 231 Article 113
The Wada test is an invasive procedure used to assess language and memory lateralization. Despite the widespread use of the Wada test in the population of people with epilepsy, the two existing standardized protocols for conducting the procedure are methodologically different and do not fully account for language comprehension as a separate domain. In this ...
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
Seul: PMLR, 2026.
Added: June 4, 2026
Chertopolokhov V., Mukhamedov A., Bugriy G. et al., IEEE Access 2026 Vol. 14 P. 14369–14392
This study presents on-the-fly identification and multi-step prediction of nonlinear systems with delayed inputs using a dynamic neural network combined with a smooth projection onto ellipsoids. The projection enforces parameter constraints that guarantee stability, while a Lyapunov–Krasovskii analysis yields computable ultimate error bounds. Riccati-type matrix inequalities are derived, providing an efficient vectorization–projection–devectorization implementation suitable for ...
Added: May 22, 2026
Ролинский С. О., Dvoynikova A., В кн.: Альманах научных работ молодых ученых Университета ИТМОТ. 2.: Университет ИТМО, 2022. С. 336–340.
В работе рассмотрены основные существующие подходы к автоматическому распознаванию речи, а также проводится сравнительный анализ открытых компьютерных систем распознавания речи. Для экспериментальных исследований эффективности работы рассматриваемых систем используется речевой корпус LibriSpeech. ...
Added: April 24, 2026
Dvoynikova A., Садикова А. А., В кн.: Сборник трудов X Конгресса молодых ученыхТ. 1.: Университет ИТМО, 2021.
В работе рассматривается применение различных планировщиков обучения (англ. scheduler) нейронных сетей для задачи текстонезависимой верификации дикторов. Для экспериментальных исследований использовалась база данных VoxCeleb1, которая содержит в себе различные речевые высказывания 1211 дикторов. В работе проводился анализ влияния различных планировщиков обучения нейронных сетей, представленных в библиотеке PyTorch языка программирования Python, а также 2 алгоритма планировщика, представленных ...
Added: April 24, 2026
Efremov A., Portnoy S., Волошин А. Д., Первая миля 2025 № 8 С. 20–28
Выполнен комплексный обзор методов машинного обучения (ML), применяемых для повышения устойчивости сигнала к помехам в каналах связи. Бурное развитие поколений беспроводной связи, активная разработка концепции 6G предъявляют высокие требования к задержке, скорости и надежности передачи данных. Традиционные подходы к защите от помех, основанные на строгих аналитических моделях, зачастую не справляются с хаотичной природой плотных гетерогенных ...
Added: April 4, 2026