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  • ИНСТИТУТ БИОИНФОРМАТИКИ. СБОРНИК ТЕЗИСОВ 2020/21
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News
November 10, 2026
Physicists Train AI to Optimise Particle Beams in Accelerators
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science and the Budker Institute of Nuclear Physics at the Siberian Branch of the Russian Academy of Sciences have developed RLABC (Reinforcement Learning for Accelerator Beamline Control), a framework that uses reinforcement learning to identify optimal settings for a particle accelerator. In a computer simulation, RLABC optimised the accelerator's parameters to achieve a particle transmission rate of 70%. The study has been published in Computer Physics Communications.
November 9, 2026
'Organ-on-a-Chip Technology Could Eliminate the Need for Animal Testing'
The Laboratory of Molecular Physiology at the HSE Faculty of Biology and Biotechnology investigates how molecular regulators known as microRNAs control gene expression and contribute to the development of diseases, including cancer, viral and inflammatory conditions, and pregnancy complications. At HSE University, researchers develop organ-on-a-chip models: miniature devices containing living cells that mimic the functions of human organs, such as the placenta and intestines. These models help researchers understand how diseases develop and how drugs affect them. HSE News Service spoke with Evgeny Knyazev, Head of the Laboratory.
November 9, 2026
Flattened Terrain Models Underestimate Vehicle-to-Vehicle Communication Outages
Researchers at HSE MIEM have shown that widely used simulators of vehicle-to-vehicle communication significantly overestimate its reliability because they assume flat terrain. When terrain features, bridges, and tunnels are taken into account, the outage rate on a mountain serpentine road rises from 21% to 30%, on an overpass from 20% to 33%, and in a tunnel from 0% to 80%. The results have been published in Future Transportation.

 

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ИНСТИТУТ БИОИНФОРМАТИКИ. СБОРНИК ТЕЗИСОВ 2020/21

СПб. : Федеральное государственное автономное образовательное учреждение высшего образования "Санкт-Петербургский политехнический университет Петра Великого", 2021.
Bukley G.

Bioinformatics Institute 2020/21. Project abstracts. Bioinformatics Summer School 2021. Abstracts.

Research target: Computer Science Biology
Priority areas: IT and mathematics
Language: English
Full text
Text on another site
Keywords: компьютерные наукиbioinformaticsбиоинформатика computer scienceфилогенетикаphylogeneticsbioinformatics algorithms
Publication based on the results of:
Data Analysis and Modeling of Heterogeneous dynamics of the magnetic fields of the Earth and the Sun (2021)
ИНСТИТУТ БИОИНФОРМАТИКИ. СБОРНИК ТЕЗИСОВ 2020/21
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Колодеева Ок. Е., Колодеева Ол. Е., Razumovskaya A. et al., Доклады российской академии наук. Науки о жизни 2026 Т. 530 № 1 С. 614–620
Targeted delivery of therapeutic agents using lipid vesicles is an important area of modern biomedicine. However, the intrinsic biological effects of such carriers on cells require further investigation. Nanoarchaeosomes represent one promising class of delivery vehicles. In the present study, we investigated the response of Caco-2 intestinal epithelial cells to unloaded nanoarchaeosomes. Their exposure was ...
Added: November 13, 2026
Impact of 5G NR-V2X Message Losses on Connected Vehicle Warning Functions
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Cooperative warning functions depend on whether V2X information becomes available in time to influence vehicle control. This article presents an event-based co-simulation framework coupling SUMO, ns-3 (ms-van3t), 5G-LENA NR sidelink and application records, with Sionna RT enabled for the intersection scenario. In 140 emergency-vehicle-warning runs, reducing mean packet reception ratio (PRR) from 0.9412 to 0.0675 ...
Added: November 12, 2026
Structural model of decision support system for sustainable development of oil and gas companies
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The article considers the issue of managerial decision-making in an oil and gas company, which is related to the class of multi-criteria choice problems. To improve the validity of decisions in the context of companies’ sustainable development it is proposed to implement a Decision Support System (DSS). A brief review of the existing methods of ...
Added: November 10, 2026
EdFitter: a hybrid course recommendation system using large language models
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Educational institutions face increasing pressure to adapt their curricula to the rapidly evolving demands of the job market, and recommender systems can be important tools to guide students in selecting courses that align with their career goals. We present EdFitter, a hybrid course recommendation system that combines pretrained text embeddings for retrieval with large language ...
Added: November 10, 2026
Assessing density equilibration in confined Liquid–Liquid interfaces
Guskov T., Gerke K., Kondratyuk N. et al., Molecular Simulation 2026 Vol. 52 No. 7 P. 546 – 555
Equilibration is often assumed rather than tested in molecular dynamics studies of confined liquid–liquid interfaces, even though different physical properties may relax on different time scales. In this work, equilibration is examined using an automated truncation method based on the marginal standard error rule. Interfacial geometry, wetting behaviour, and density-related properties are analysed for liquid–liquid ...
Added: November 10, 2026
Influence of nuclear quantum effects on metastable states of warm dense hydrogen
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Previously, it has been effectively shown that nuclear quantum effects (NQE) considerably influence the prediction of the warm dense hydrogen phase diagram. Here, we study the influence of NQE on the parameters of the conducting state formation in warm dense hydrogen using path integral molecular dynamics (PIMD) within the framework of the finite temperature density ...
Added: November 10, 2026
Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track. European Conference, ECML PKDD 2026, Naples, Italy, September 7–11, 2026, Proceedings
Springer, 2027.
This volume is Part VIII of the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2026, held in Naples, Italy, September 7–11, 2026. It contains 40 papers from the Research Track and the Applied Data Science Track and is published as volume 16948 of Lecture Notes in ...
Added: November 9, 2026
Artificial Intelligence for Software Engineering (AI4SE): A Review of Capabilities, Evaluation, and Verification Challenges
Avdoshin S.M., Pesotskaya E.Y., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 6, part 2 P. 133–146
Artificial intelligence has significantly reshaped contemporary software engineering practice, changing how software systems are designed, implemented, tested, and maintained. Recent advances in large language models and AI-assisted development tools have expanded the role of AI from supporting isolated tasks to participating in multiple stages of the software lifecycle. In many development settings, software is now created from high-level specifications ...
Added: November 8, 2026
MFL-ScrollNet: Recurrent Sliding-Window Detection for Panoramic Pipeline Magnetic Flux Leakage Images
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Abstract Automated interpretation of magnetic flux leakage (MFL) data is central to condition assessment of long-distance oil and gas pipelines. Yet, full-resolution panoramas are difficult to process without either suppressing small anomalies through resizing or fragmenting elongated objects at sliding-window boundaries. We propose MFL-ScrollNet, a recurrent sliding-window detector that formulates panoramic analysis as an ordered sequence ...
Added: November 8, 2026
Proceedings 2026 IEEE International Conference on Joint Cloud Computing JCC 2026
IEEE Computer Society (Conference Publishing Services, CPS), 2026.
Added: November 7, 2026
Structural Basis of Picomolar Inhibition of Mammalian α-Amylases by a β-Defensin-Like Marine Peptide and its Use as an Antihyperglycemic Agent
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Added: November 7, 2026
Biochemical synthesis of coproporphyrin III tetramethyl ester: a novel reaction found in mycobacteria.
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It was shown previously that mycobacteria (Mycobacterium smegmatis and Mycobacterium tuberculosis) accumulate tetramethyl ether of coproporphyrin III (TMC) during transition to dormant state. However, the enzymes involved in TMC synthesis remained unknown. Here we have identified a new M. smegmatis methyltransferase MSMEG_0614 (CPmtA) that catalyzes the S-adenosyl-L-methionine-dependent conversion of coproporphyrin (CP) into TMC through sequential methylation of its carboxyl ...
Added: November 7, 2026
Detecting the undetectable: benchmarking AI-generated text
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The rapid development of generative large language models (LLMs) has intensified the need for reliable methods capable of distinguishing AI-generated text from human writing, especially in academic and professional settings. This paper presents the results of a systematic benchmarking study evaluating the performance and limitations of contemporary LLM-text detectors applied to Russian-language academic content. We introduce ...
Added: November 7, 2026
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Neuberger A., Veretenenko I. I., Shalygin A. et al., Nature Communications 2026 Vol. 17 No. 1 P. 1–13
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Added: November 7, 2026
The locking mechanism of human TRPV6 inhibition by intracellular magnesium
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TRPV6 is a member of the vanilloid subfamily of transient receptor potential channels, which serves as the master regulator of Ca2+ homeostasis. TRPV6 functions as a constitutively active Ca2+ channel, and emerging evidence indicates that its overactivity underpins the progression of several human diseases, including cancer. Hence, there is a pressing need to identify TRPV6 inhibitors in conjunction with a ...
Added: November 7, 2026
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Efficient management of the Key-Value (KV) cache is essential for deploying large language models (LLMs) in long-context scenarios, where memory requirements often exceed the capacity of resource-constrained hardware. Many existing training-free compression algorithms typically rely on attention-driven heuristics, but exhibit two key limitations. First, they require explicit attention score computation, which is difficult to reconcile ...
Added: November 5, 2026
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Added: November 5, 2026
A Multimodal Framework for Aphasia Severity Classification in Russian
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Automatic classification of aphasia severity presents persistent challenges, particularly for languages with limited clinical speech re sources such as Russian. This paper explores a multimodal approach to severity estimation that combines acoustic and semantic representa tions of pathological speech. Acoustic features are extracted using pretrained Wav2Vec 2.0 models, while semantic information is obtained from the ...
Added: November 4, 2026
Findings of the Association for Computational Linguistics: EMNLP 2026
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Added: November 3, 2026
PULSE: Psychological Characteristics Unified Learning via Speech-based Estimation
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Assessing human psychological characteristics from speech requires models that can jointly capture affective states, expressive behavior, and relatively stable personality traits. However, most existing speech-based frameworks address isolated tasks and use separate task-specific models. This leads to model proliferation and complicates inference in real-world intelligent systems. Unified models are also difficult to develop because few ...
Added: November 3, 2026
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Poddiakov A., Integrative Psychological and Behavioral Science 2026 Vol. 60 No. 4 P. 1–50
Clarity of knowledge and reasoning is necessary in many cases. Yet vagueness in scientific thinking related to surprise, curiosity, and “ability to engage with not-knowing” (de Freitas) is also a crucially important source of scientific creativity. Starting from studies by C. S. Peirce and B. Russell, scientists have developed tools for working with increasingly accurate ...
Added: November 3, 2026
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Gorbunov A. A., Исаев Е. А., Приборы и системы. Управление, контроль, диагностика 2026 № 1 С. 42–46
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Added: October 12, 2026
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Added: October 12, 2026
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Added: September 28, 2026
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