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  • К вопросу проектирования интеллектуальных систем управления сложными организационными структурами. Ч1. Математическое обеспечение системы управления инвестиционной деятельностью вертикально-интегрированной нефтяной компании
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Subject
News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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К вопросу проектирования интеллектуальных систем управления сложными организационными структурами. Ч1. Математическое обеспечение системы управления инвестиционной деятельностью вертикально-интегрированной нефтяной компании

Проблемы управления. 2010. № 6. С. 12–18.
Akopov A. S.
Research target: Economics and Management Computer Science
Priority areas: management IT and mathematics
Language: Russian
Full text
Keywords: математическое моделированиеинтеллектуальные системы управленияуправление организационными структурамиматематическое и программное обеспечение сложных систем управлениямоделирование процессов управленияэкономико-математические методы и модели
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Proceedings of the 11th Workshop on Automated Knowledge Base Construction (AKBC 2026)
[б.и.], 2026.
While Large Language Models (LLMs) have revolutionized NLP, they remain prone to hallucinations, reasoning “mode-collapse” in open-ended generation, and a lack of factual provenance. The Automated Knowledge Base Construction (AKBC) workshop addresses a key missing piece of the generative era: structured knowledge. Knowledge Bases (KBs) serve as ground truth for fact verification, the semantic backbone ...
Added: October 28, 2026
Оценка социального эффекта: Как выбрать методику, использовать данные и улучшить работу социального предприятия. Аналитический доклад.
Puchkov E., Knyaginina N., М.: Национальный исследовательский университет "Высшая школа экономики", 2026.
The report examines approaches to social impact assessment and the use of assessment findings in the management of social enterprises. It reviews key methods and tools, data requirements, and the limitations of the conclusions that can be drawn from them. Particular attention is paid to the role of investors, foundations, governments and professional communities in ...
Added: October 28, 2026
Оценки доходного неравенства по данным обследования домашних хозяйств и налоговой статистики
Кузин С. С., Surinov A., Экономический журнал Высшей школы экономики 2026 Т. 30 № 3 С. 515–534
В статье представлена методика оценивания распределения доходов на селения России и доходного неравенства на основе объединения данных выборочного обследования доходов домашних хозяйств и налоговых данных. Налоговые данные используются для корректировки распределения в области высоких доходов, так как в налоговой отчетности полнее по сравнению с обследованием отражаются доходы наиболее обеспеченных слоев. Для получения оценки распределения доходов ...
Added: October 28, 2026
Molecular dynamics and machine learning insights into oil-brine interfacial tension: Uncovering roles of dissolved gases and salinity
Nikitiuk B., Lenev D., Pisarev V. et al., Journal of Colloid and Interface Science 2026 Vol. 718 Article 140444
Hypothesis:Accurate determination of interfacial tension values is crucial for many modeling applications in the oil and gas industry. However, many of the presently used empirical and theoretical models show poor prediction accuracy and do not allow for direct consideration of the concentrations of gases and salts dissolved in the system as well as the specific ...
Added: October 28, 2026
Predicting multi-component oil viscosity using machine learning methods
Deshchenya V., Nikolay D. Kondratyuk, Sivakova A. et al., Chemical Engineering Sciences 2027 Vol. 337 Article 124616
Accurate prediction of complex formulation viscosity is crucial for the lubricant industry and engineering processes. However, developing generalizable models remains challenging due to the complexity of industrial mixtures and the scarcity of public experimental data, often resulting from corporate proprietary restrictions. This study presents a machine-learning workflow for viscosity estimation from a proprietary pseudonymized dataset, ...
Added: October 28, 2026
PARSE: Physical attribute representativity and stationarity evaluator open-source library for 3D images using scalar and vector metrics
Zubov A., Zubov A., Малявко, Я. et al., Computer Physics Communications 2025 Vol. 317 Article 109860
The concept of representative volume (REV, or RVE in material sciences) is the cornerstone of continuum scale models – one needs to get the volume big enough so that it could be represented with an averaged value (scalar, vector or tensorial, etc.). While REV should be established in all larger scale simulations, this is rarely ...
Added: October 28, 2026
Россия – Китай: ключевые тренды II квартала 2026 года
Lola I. S., Asoskov D., ИСИЭЗ НИУ ВШЭ, 2026.
Центр конъюнктурных исследований Института статистических исследований и экономики знаний НИУ ВШЭ (ЦКИ ИСИЭЗ НИУ ВШЭ) представляет аналитический дайджест с оперативными показателями развития российско-китайских торгово-экономических отношений по итогам II квартала 2026 года.Представлен анализ динамики и структуры экспорта и импорта, средних цен и условий торговли, интенсивности, взаимозависимости и концентрации торговли по товарам и странам, сравнительных преимуществ и ...
Added: October 27, 2026
Состояние и перспективы ИТ-отрасли в 2025 г. (отдельные результаты конъюнктурного мониторинга)
Lola I. S., Asoskov D., ИСИЭЗ НИУ ВШЭ, 2026.
Центр конъюнктурных исследований Института статистических исследований и экономики знаний НИУ ВШЭ представляет информационный обзор, подготовленный в рамках Программы фундаментальных исследований НИУ ВШЭ по теме «Оценка делового климата в условиях формирования новой модели экономического роста на базе результатов конъюнктурных обследований», характеризующий отдельные деловые тенденции, сложившиеся в отрасли информационных технологий (ИТ-отрасль) в 2025 г. Работа базируется на результатах ...
Added: October 27, 2026
Лидерство в глобальном энергопереходе: позиция и роль Китая в технологической трансформации мировой экономики
Костюнина С. Б., Современная мировая экономика 2026 Т. 4 № 1 С. 26–49
The energy transition has the potential to become an economic revolution. For countries that depend on hydrocarbon imports, the transition to low-carbon technologies has become not only a factor in energy supply, energy security, economic growth, and environmental protection, but also a factor influencing global markets. To examine this influence and assess the prospects for ...
Added: October 27, 2026
Amplifying Latent Safety in Large Language Models via Gated Activation Steering
Roman Prosvirnin, Suslov A., Aleksei Soldatov et al., Computation 2026 Vol. 14 No. 10 Article 261
Abstract Safety-aligned language models often encode that a request is harmful yet still comply with it. We turn this gap between internal recognition and observable behavior into an inference-time defense. The proposed activation-steering method uses a multiplicative operator that amplifies the residual-stream component along a harm-recognition direction. Intervention strength scales with the model’s own assessment of ...
Added: October 27, 2026
PACTraD: Multi-Task Benchmark and Domain-Specific Attention Mechanism for Wildlife Classification, Detection, and Segmentation in Protected Area Camera Trap Data
Aleksei Samarin, Nazarenko A., Nazarenko D. et al., Big Data and Cognitive Computing 2026 Vol. 10 No. 11 P. 1–52
Camera traps are a key tool for non-invasive wildlife monitoring, yet models trained on existing benchmarks often generalize poorly to new regions due to domain shift, class imbalance, and natural variability in illumination, season, and background. We introduce PACTraD, a benchmark of 116,973 annotated camera trap images collected in a protected area of the Baikal ...
Added: October 27, 2026
2026 10th Scientific School Dynamics of Complex Networks and their Applications
IEEE, 2026.
Proceedings of the X Scientific School "Dynamics of Complex Networks and their Applications" (DCNA'2026) contain papers of reports of scientists and specialists in the field of intelligent technologies, engineering education, research and design of complex networks. DCNA'2026 was held from 10 to 12 September 2026 in Moscow, Russia, as a part of the International Forum on Artificial Intelligence and ...
Added: October 26, 2026
A Curated Dataset for Chemical Characterization of Heated Tobacco Product Aerosol
Maddalena L., Yildiz B., Del Vecchio Blanco F. et al., Scientific data 2026 P. 1–20
We addressed the task of chemical characterization of the aerosol emitted by heated tobacco products (HTPs) and of the smoke emitted by conventional/commercial cigarettes, usually adopted as a reference. Emphasis was placed on quantifying constituents for enabling the identification of novel compounds through targeted and untargeted analyses, and the evaluation of reductions in toxicant exposure under ...
Added: October 26, 2026
Agent-Controlled Touchpoint Dominance for Satisfaction and Loyalty in E-Commerce: The Platform's Last-Mile Paradox
Starostin A., Veselova A., International Journal of Service Science, Management, Engineering, and Technology 2026 Vol. 17 No. 1 P. 1–28
This article challenges the prevailing view that customer experience in online retail is shaped primarily at the digital interface. Instead, the authors investigate whether physical, interpersonal service encounters at third-party pickup points carry greater weight. Using the partial least squares structural equation modeling to evaluate 18,023 marketplace customers, they analyzed five sequential journey stages to ...
Added: October 24, 2026
A Multi-Feature Fusion Deep Neural Network with Attention for Multi-Task Crop Monitoring
Obsie E. Y., Zhan Y., Liu Y., Engineering Research Express 2026 Article 7
Maintaining plant health is crucial for crop quality, food security, and agricultural productivity. Although deep learning methods have shown strong potential for species, disease, and severity classification, most existing approaches tackle these tasks separately, failing to exploit shared representations and interdependencies among them. Furthermore, the variability of disease symptoms, such as subtle differences in size, ...
Added: October 22, 2026
Статистические методы анализа экономики и общества. 17-я Международная научно-практическая конференция студентов и аспирантов (12–15 мая 2026 г.)
М.: Издательский дом НИУ ВШЭ, 2026.
В сборнике представлены отобранные оргкомитетом труды участников 17-й Международной научно-практической конференции студентов и аспирантов «Статистические методы анализа экономики и общества» из России, Армении, Беларуси и Китая, представляющих 27 вузов из 16 городов: Москва, Владивосток, Ереван, Йошкар-Ола, Минск, Новосибирск, Оренбург, Ростов-на-Дону, Санкт-Петербург, Саранск, Саратов, Севастополь, Уфа, Шахты, Шэньчжэнь, Электросталь. Исследования посвящены вопросам статистической методологии, применению математико-статистических и ...
Added: October 21, 2026
Применение специальных финансово-экономических знаний в антимонопольных делах о картелях
Москвитин О. А., Финансовые рынки и банки 2026 № 9 С. 730–732
Статья посвящена проблеме применения специальных финансово-экономических знаний при рассмотрении дел о картельных соглашениях. Автор исходит из того, что российская правоприменительная практика по делам о картелях исторически опирается преимущественно на поведенческие и цифровые «следы» сговора, тогда как экономический анализ зачастую играет вспомогательную роль. На основе анализа отечественного и зарубежного опыта обосновывается тезис о необходимости разграничения двух ...
Added: October 21, 2026
Модель углеродного регулирования с учетом социально-экономических параметров
Gazman V. D., Вестник Московского университета. Серия 6: Экономика 2026 Т. 61 № 4 С. 145–162
This article examines the theoretical and practical dimensions of carbon taxation. It assesses the extent to which the existing tax mechanism regulates CO2 emissions and whether tax revenues cover the damage caused by those emissions. The advantages and disadvantages of emissions trading systems and carbon taxes are analyzed. The article reviews the scholarly debate involving ...
Added: October 21, 2026
Happiness and entrepreneurship: investigating the link between subjective well-being and entrepreneurial intention among student
Kulagina E., Slykhova K., Lechenko E. et al., BRICS Journal of Economics 2026 Vol. 7 No. 4 P. 1–46
This study explores the relationship between subjective well-being (SWB) and entrepreneurial intention (EI) among university students in Russia, where entrepreneurial engagement remains relatively low. It emphasizes the role of internal psychological drivers, such as SWB, willingness to take risks and entrepreneurial self-efficacy, rather than focusing solely on external factors. Drawing on the Theory of Planned ...
Added: October 20, 2026
A Neural Network Approach for Generating Libration Point Orbits
Lev Pyatko, Sergey Aksenov, Regular and Chaotic Dynamics 2026 Vol. 31 No. 5 P. 794–813
In the circular restricted three-body problem, families of periodic and quasi-periodic orbits exist in the vicinity of the libration points and are of significant interest for practical applications. This work presents a neural network-based algorithm for orbit construction and station-keeping, applicable to both periodic and quasi-periodic orbits near collinear libration points. The method employs a ...
Added: October 19, 2026
Основы теории информации
Vorontsova T., М.: Академия, 2025.
The textbook has been prepared in accordance with the requirements of the federal state educational standards for secondary vocational education and is intended for studying the professional modules “Information Security in Information and Telecommunication Systems and Networks Using Software and Hardware‑Software Tools, Including Cryptographic Protection Tools” and “Information Security in Automated Systems Using Software and ...
Added: October 19, 2026
Исследование свойств оптического покрытия на основе упрощенного симулятора процесса напыления
Isaev T. F., Шаров А. Н., Журнал вычислительной математики и математической физики 2026 Т. 66 № 1 С. 83–93
Исследуются свойства оптических покрытий на основе использования упрощенного симулятора ошибок в толщинах слоев покрытий при их напылении. Обосновывается возможность такого подхода. Выводятся аналитические оценки среднеквадратичного значения нормы вектора ошибок и степени коррелированности ошибок в толщинах слоев покрытия. Изучается зависимость среднеквадратичного значения нормы вектора ошибок и свойств покрытия от уровня случайных ошибок в слоях. ...
Added: October 5, 2026
A Three-Party W-State Quantum Secret Sharing Protocol with X-Gate Encoding and Forbidden-Outcome Detection
Timur Teregulov, Elena R. Loubenets, / Series Quantum Physics "arXiv". 2026. No. 2609.31472.
We develop a new three-party quantum secret-sharing (QSS) protocol based on a three-qubit W state. This protocol encodes the secret-sequence bits using X gates and employs randomly selected Hadamard operations and measurement bases to generate information and security-test rounds. We evaluate the efficiency of the proposed protocol and analyze its security against an internal adversary ...
Added: September 28, 2026
On calibration of remote sensing retrievals of ecosystem respiration (Reco) with tower measurements over,Russian forests and wetlands
Shabanov N., Kuricheva O., Kurbatova J. et al., / Series Working Papers SSRN "Department of Economics Ca’ Foscari University of Venice". 2026.
The carbon balance of an ecosystem is the difference between Gross Primary Productivity (GPP) and Ecosystem Respiration (Reco) as expressed by Net Ecosystem Exchange (NEE). While remote sensing retrievals of GPP have reached maturity, Reco estimation remains underexplored and ultimately cast bias on NEE. Here we present an end-to-end multi-scale analysis of the mechanism of ...
Added: August 21, 2026
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