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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Сборник научно-исследовательских работ студентов и аспирантов – стипендиатов Фонда им. В.И. Вернадского

-, 2022.
Under the general editorship: Т. В. Авгусманова, О. А. Савватеева
Chapters
Применение лекарственных препаратов на основе нуклеиновых кислот в терапии различных заболеваний
Трошин Д. С., В кн.: Сборник научно-исследовательских работ студентов и аспирантов – стипендиатов Фонда им. В.И. Вернадского.: Фонд им. В.И. Вернадского, 2022. С. 78–82.
Nucleic acids (NA) are the molecular basis of all living organisms. Th s class of chemical compounds was discovered in 1968 by Friedrich Miescher. Since then, their properties have been studied by scientists from all over the world. Initially, nucleic acids were obtained in the form of nucleoproteins from purulent secretions. Further, such a source ...
Added: May 13, 2023
Research target: Medical Biotechnologies Computer Science Chemistry Physics Earth Sciences Biology Education Environmental Biotechnologies
Language: Russian
Full text
Text on another site
Keywords: экологическая экономикаМедицинские биотехнологии, стволовые клетки, реконструктивные микрохирургические операциигеоботанические исследования
Сборник научно-исследовательских работ студентов и аспирантов – стипендиатов Фонда им. В.И. Вернадского
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Revealing Structure-Reporting Patterns of Pyruvylation Effects on 13C NMR Chemical Shifts in Natural Saccharides
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Pyruvylation is one of the immunochemically relevant modifications of O-antigens in bacterial and fungal cells. Therefore, fast and relatively simple analytical methods for identifying this modification are highly demanded. 13C NMR spectroscopy is the best candidate for this purpose, but its successful application requires using reference structures and reliable databases. In this work, we collected ...
Added: May 25, 2026
Novelty, Category and Orientation Tuning for Printed Characters: A Magnetoencephalography Study with Fast Periodic Visual Stimulation
Kochetkova Ekaterina, Kostanian D., Martynova O. et al., Brain Topography 2026 Vol. 39 No. 4 Article 51
Letter recognition is assumed to involve several levels of analysis, including coarse tuning for category and novelty and more fine tuning for specific features, related to letter orientation. We employed an oddball fast periodic visual stimulation (FPVS) paradigm with magnetoencephalography (Elekta VectorView, 306 sensors) to study neural discrimination responses in the source space. Using contrasts ...
Added: May 24, 2026
Рефакторинг исходного кода на основе LLM и расширения UML
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В статье представлен метод рефакторинга исходного кода на основе интеграции большой языковой модели (LLM) и расширенной UML-модели программного кода. Предложенный подход позволяет выявлять проблемные участки кода с использованием функций тревожности и структурных метрик классов, а затем выполнять автоматизированный рефакторинг. Ключевой особенностью метода является использование LLM для генерации формальных спецификаций на языке OCL (Object Constraint Language), ...
Added: May 24, 2026
Ising models on the hydrogen peroxide and other lattices
Qian X., Deng Y., Shchur L. et al., Physica A: Statistical Mechanics and its Applications 2026 Vol. 696 P. 1–13
We perform a Monte Carlo analysis of the Ising model on many three-dimensional lattices. By means of finite-size scaling we obtain the critical points and determine the scaling dimensions. As expected, the critical exponents agree with the three-dimensional Ising universality class for all models. The irrelevant field, as revealed by the correction-to-scaling amplitudes, appears to ...
Added: May 24, 2026
Sodium Hypophosphite Assisted Ruthenium Catalyzed Reductive Amination under Mild Conditions
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Added: May 23, 2026
Coping with AI errors with provable guarantees
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AI errors pose a significant challenge, hindering real-world applications. This work introduces a novel approach to cope with AI errors using weakly supervised error correctors that guarantee a specific level of error reduction. Our correctors have low computational cost and can be used to decide whether to abstain from making an unsafe classification. We provide ...
Added: May 23, 2026
Overcoming the Curse of Dimensionality with Synolitic AI
Zaikin A., Sviridov I., Sosedka A. et al., Technologies 2026 Vol. 14 No. 2 Article 84
High-dimensional tabular data are common in biomedical and clinical research, yet conventional machine learning methods often struggle in such settings due to data scarcity, feature redundancy, and limited generalization. In this study, we systematically evaluate Synolitic Graph Neural Networks (SGNNs), a framework that transforms high-dimensional samples into sample-specific graphs by training ensembles of low-dimensional pairwise ...
Added: May 23, 2026
Stable On-the-Fly Learning for Dynamic Neural Networks With Delayed Inputs
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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
TBAT as “Multitool” Catalyst for Polysiloxane Synthesis, Modification, and Recycling
Лосев М. А., Козлов А. С., Chusov D. et al., ACS Catalysis 2026 Vol. 16 No. 10 P. 9380–9386
A convenient, stable, and non-toxic substance, tetrabutylammonium difluorotriphenylsilicate (TBAT), can be used as an organocatalyst in all stages of polymer lifetime: synthesis, modification, and recycling. The fluorine-containing initiator showed high activity in the polymerization of siloxanes compared to classic organocatalytic systems. Using kinetically controlled ROP, a high-molecular-weight PDMS (Mn up to 820 𝑘𝑔/𝑚𝑜𝑙) was prepared at room ...
Added: May 22, 2026
Reductive coupling of nitroarenes with carboxylic acids – a direct route to amide synthesis
Лосев М. А., Козлов А. С., Клюев Ф. С. et al., Organic and Biomolecular Chemistry 2023 Vol. 21 No. 42 P. 8477–8481
A simple and atom-efficient way to prepare amides directly from carboxylic acids and nitroarenes was developed. Carbon monoxide as a sole reducing agent provides the ultimate selectivity of the protocol. A straightforward and selective way for the preparation of amides from nitroarenes and carboxylic acids using carbon monoxide as a reductant was developed. This protocol ...
Added: May 22, 2026
Опыт применения сетевого анализа (SNA) в историческом нарративе полисубъектного региона (на примере валлийской хроники Brut y Tywysogyon)
Loshkareva M. E., Matveeva N., Вестник Томского государственного университета. История 2026 № 100 С. 112–118
This research is an endeavor to apply social network analysis (SNA) to the study of a medieval narrative source. The authors suppose that the use of network analysis may offer new possibilities in the study of the history of regions characterized by some political fragmentation. Authors tried to construct networks of historical interactions from 1193 ...
Added: May 22, 2026
Оптические методы детектирования единичных биомолекул: визуализация, сенсорика, секвенирование молекул ДНК
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Представлен краткий обзор достигнутого уровня оптических методов детектирования единичных молекул в биомедицинских приложениях. Показано, что регистрация флуоресценции единичных молекул красителей, ковалентно связанных с антителами (биомолекулами), совместно с использованием современных методов нанофотоники может быть применена для решения различных задач в биологии и медицине: визуализации биомолекул, токсинов, вирусных частиц, определения ультранизких концентраций аналитов напрямую во взятой пробе, ...
Added: May 21, 2026
Molecular dynamics simulations refine the pathogenicity of ACVRL1 kinase domain variants by quantifying impacts on ATP binding in pulmonary arterial hypertension
Borovikova I., Okhrimenko G., Zamyatin V. et al., Journal of Structural Biology 2026 Vol. 218 No. 2 Article 108315
Single amino acid substitutions in the ATP-binding domain of ACVRL1, a key receptor in the bone morphogenetic protein (BMP) signaling pathway, are frequently classified as variants of uncertain significance (VUS), complicating molecular diagnosis for pulmonary arterial hypertension (PAH) and Hereditary Hemorrhagic Telangiectasia (HHT). Since aberrant ATP binding disrupts downstream SMAD1/5/8 phosphorylation, we employed molecular dynamics ...
Added: May 20, 2026
VACUUM DISCHARGE DRIVEN BY STRIPE LINE STORAGE AS A SOURCE OF EUV RADIATION
Antsiferov P.S., Stepanov L.V., Matiukhin N. D., Review of Scientific Instruments 2025 Vol. 96 No. 12 Article 123506
The article presents the discharge plasma based source of extreme ultraviolet (EUV) radiation. The discharge circuit has been driven by means of stripe line storage with working voltage 10.5 kV. The main feature of the proposed source is that plasma electrons acquire the energy, necessary for the production of multiply charged ions with ionization potentials ...
Added: May 20, 2026
Регистрация спектров на 6.65 метровом ВУФ-УФ спектрометре с помощью многоканального детектора
Анциферов П. С., Степанов Л. В., Матюхин Н. Д., Оптика и спектроскопия 2026 Т. 134 № 2 С. 214–218
Сообщено о разработке системы регистрации спектров на ПЗС-линейке для уникального ВУФ спектрометра, построенного на основе сферической дифракционной решетки с радиусом 6.65 m. Была использована линейка HAMAMATSU S11156-2048-02, которая устанавливалась по касательной к окружности Роуланда с возможностью механического перемещения для сканирования спектра. Были получены спектрограммы в диапазоне длин волн 2130-2270 Angstrem. Описана методика сшивки регистрируемых спектральных ...
Added: May 20, 2026
ML-based Fast Simulation of FARICH Responses
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Международные Четвериковские чтения: сборник трудов конференции (26-27 апреля 2021 г., Пущино, Московская область, Россия)
Пущино: Фонд "Предприниматели за развитие города Пущино", 2021.
Сборник трудов Международных Четвериковских чтений ...
Added: May 13, 2023
Новые концепции в комплексном лечении пациентов с травмой спинного мозга, включающие реконструктивную микрохирургию и последующую реабилитацию
Степанов Г. А., Русских С.В., Астасидис Б. А. et al., Вестник Российской академии медицинских наук 2008 № 8 С. 29–34
This work is been based upon the experience of performing 100 reconstructive microsurgical operations with transplantation of combined vascular-neural autografts, in 24 cases - with introduction cellular material into zone of transplantation. The complex approach aimed to creating optimal conditions for the functional regeneration of the spinal cord (SC), including neurosurgical methods restoring anatomical integrity ...
Added: November 16, 2021
Стратегии и инструменты экологически устойчивого развития экономики : сборник трудов ХV Международной научно-практической конференции Российского общества экологической экономики
Ставрополь: АГРУС Ставропольского гос. аграрного ун-та, 2019.
Added: October 23, 2019
Bioeconomy global trends in agriculture and food safety
Sharova I. V., Dzedzyulya E., Lavrova A. V., Asian Journal of Microbiology, Biotechnology and Environmental Sciences 2017 Vol. 19 No. 4 P. 1070–1082
Globalization is characterized not only by economic growth and prosperity but also by increasing pressure on natural resources, unsustainable patterns of consumption and production and increasing inequality. To study these global challenges and their impact on development processes authors identified modern trends in the field of bioeconomy and biotechnology developments, analyzed the main government programs, ...
Added: June 25, 2018
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Карельский научный центр РАН, 2017.
The 14th International Conference of the Russian Society for Ecological Economics RSEE-2017 will be devoted to the discussion of topical issues in the field of sustainable development of countries and regions, methodology and practices of establishing and developing the economic mechanisms of environmental management and protection. Topics include taxation of the use of natural resources ...
Added: November 7, 2017
Agent-based modelling for ecological economics: A case study of the Republic of Armenia
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The ecological modernisation of enterprises has led to significant levels of total emissions in the atmosphere. This is a very important and complex issue for the Republic of Armenia (RA). An agent-based model was developed to determine the best trade-offs for the ecological modernisation of enterprises. The aim is to solve the bi-objective optimisation problem, ...
Added: December 30, 2016
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