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News
June 25, 2026
HSE Researchers Make Aldehydes Perform Dual Function
Chemists from HSE University have discovered a way to carry out a reductive addition reaction without using an external reducing agent. Instead, the required 'resource' is supplied by the aldehyde itself, one of the reaction participants. This approach helps prevent unwanted side reactions, reduces toxicity, and simplifies the production and synthesis of organic molecules, including those used in the manufacture of medicines. The study has been published in Journal of Catalysis.
June 25, 2026
HSE Scientists Explain Why Findings in Autism Research Differ
Researchers from the Cognitive Health and Intelligence Centre at HSE University conducted the first-ever systematic review of studies on the specifics of emotion-from-motion perception in autism. The review showed that differences found between autistic and non-autistic individuals are largely associated with the experimental design and the types of tasks given to study participants. The review findings have been published in Research in Autism.
June 22, 2026
‘In Science, You Are Your Own Boss
Polina Nasledskova is interested in identifying gaps in linguistics and topics that have been overlooked by other researchers. In an interview for the  Young Scientists of HSE University project, she spoke about rare ordinal numerals in Nakh-Daghestanian languages, the benefits of knitting for concentration, and the beauty of the Patriarshy Bridge.

 

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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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Incorporating Scientific Knowledge into Neural Network Density Functionals
Medvedev M., Journal of Chemical Theory and Computation 2026 Vol. 22 No. 9
Density functional theory (DFT) is the workhorse of modern reactions and materials modeling. While the exact functional remains unknown, many approximations to it have been constructed either by hand-crafting functional forms to satisfy exact constraints or by machine learning. In this work, we show how both of these approaches can be fused to build both ...
Added: June 26, 2026
Моделирование полностью роботизированного склада со стеллажами глубокого хранения
Gadzhimirzaev S., Хельвас А. В., Computer Research and Modeling 2026 Vol. 18 No. 2 P. 423–438
This article presents a model of a fully automated warehouse with deep storage racks designed for boxed goods storage. The study focuses on optimizing warehouse operations through discrete multiagent simulation of shuttle movements for pallet loading and unloading tasks. The authors investigate various product placement strategies, including the Nearest Channel Positioning Algorithm (NCPA), Most Empty ChannelGroup Placement (MECGP), and ...
Added: June 24, 2026
A machine learning dataset on winter roads of Krasnoyarsk Krai, Russia for the forestry and infrastructural projects
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Machine learning in transport modeling has become a trend in science and industry. In this paper, we observe its main directions and focus on a dataset of seasonal road creation. Seasonality as a parameter in transport modeling has a significant impact on transport scenarios but is underestimated worldwide and in Russia, despite modern data challenges. ...
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Growth in noncommutative algebras and entropy in derived categories
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A noncommutative projective variety is defined, following Artin and Zhang, by a graded coherent algebra 𝐴. The category of coherent sheaves is then the quotient qgr(𝐴) of the category of finitely presented graded modules by the subcategory of torsion modules. We consider the categorical and polynomial entropies of the Serre twist, that is, of the ...
Added: June 23, 2026
Multilinear nilalgebras and the Jacobian theorem
Piontkovski D., / Series arXiv "math". 2025.
If a symmetric multilinear algebra is weakly nil, then it is Engel. This result may be regarded as an infinite-dimensional analogue of the well-known Jacobian theorem, which states that if a polynomial mapping has a polynomial inverse, then its Jacobian matrix is invertible. This refines a theorem of Gerstenhaber and partially answers a question posed ...
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The state and prospects of using virtual reality technologies in sports: a brief review
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The article examines the current state of the global virtual and augmented reality (VR/AR) technology market in sports, noting its growth, although slower than previously expected. Special attention is paid to the Russian market, where the development of VR technologies in sports lags behind world leaders such as the United States, EU countries and China, ...
Added: June 23, 2026
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Added: June 23, 2026
2025 9th International Conference on Information, Control, and Communication Technologies (ICCT-2025)
IEEE, 2026.
The 9th International Scientific Conference on Information, Control, and Communication Technologies (ICCT-2025) had been held October 7-11, 2025 in Gomel, Belarus. The main technical areas and applications covered by the proceedings are optoelectronics, acousto-optic, microwave technology, antenna systems, measuring technology, metamaterials, nanostructures, nanofilms, photonic crystals, biology and medicine, biophotonics, bioengineering, neural networks in communication technologies; ...
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Proceedings of the 4th Workshop on NLP for Music and Audio (NLP4MusA 2026)
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Playlist generation based on textual queries using large language models (LLMs) is becoming an important interaction paradigm for music streaming platforms. User queries span a wide spectrum from highly personalized intent to essentially catalog-style requests. Existing systems typically rely on non-personalized retrieval/ranking or apply a fixed level of preference conditioning to every query, which can ...
Added: June 22, 2026
Zα and Zβ Localize ADAR1 to Flipons That Modulate Innate Immunity, Alternative Splicing, and Nonsynonymous RNA Editing
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The double-stranded RNA editing enzyme ADAR1 connects two forms of genetic programming, one based on codons and the other on flipons. ADAR1 recodes codons in pre-mRNA by deaminating adenosine to form inosine, which is translated as guanosine. ADAR1 also plays essential roles in the immune defense against viruses and cancers by recognizing left-handed Z-DNA and ...
Added: June 22, 2026
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Added: June 20, 2026
Embryonic enhancers help transmit positional information to the initiator cores that control Drosophila Abd-B regulatory domains.
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Drosophila homeotic gene Abdominal-B (Abd-B) is controlled throughout development by four infraabdominal (iab) regulatory domains, the active or repressed state of which is determined by initiators that have parasegment-specific enhancer activity at an early stage of embryonic development. For this reason, it has long been assumed that the enhancer activity and initiation function of these elements are synonymous. ...
Added: June 20, 2026
Initiators counteract Polycomb repression and stimulate long-range contacts between enhancers and the Abdominal-B promoter in Drosophila
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The specification of abdominal segments A5 to A9 depends on the expression of Abdominal-B (Abd-B), which is regulated by four infraabdominal domains: iab-5 through iab-8,9. Each iab domain contains an initiation element that determines its active state, along with enhancers responsible for tissue-specific activation of Abd-B. These iab domains function autonomously due to their flanking boundaries, Fab-6, Fab-7 and Fab-8, which both block crosstalk between adjacent iab domains (insulator function) and facilitate long-range ...
Added: June 20, 2026
ИНТЕГРАЦИЯ ТЕХНОЛОГИИ ГЕНЕРАТИВНОГО ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В ОБРАЗОВАТЕЛЬНЫЙ ВИДЕОКОНТЕНТ
Stognieva O., Чеснокова Н. Е., Отечественная и зарубежная педагогика 2026 Т. 1 № 3 (115) С. 123–131
Integration of generative artificial intelligence tools into educational practice highlights the need for pedagogically grounded approaches to their use in the creation of educational video content, which is increasingly applied in language and professionally oriented instruction. The purpose of this article is to conduct a comparative analysis of educational video content created using generative AI tools ...
Added: June 20, 2026
Construction of Promoter Elements for Strong, Moderate, and Weak Gene Expression in Drosophila melanogaster
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Background/Objectives: Transcriptional promoters play an essential role in regulating protein expression. Promoters with weak activity generally lead to low levels of expression, resulting in fewer proteins being produced. At the same time, strong promoters are commonly used in studies using transgenic organisms as model systems. This approach can have various negative consequences for the organism, ...
Added: June 20, 2026
Diverse β-bungarotoxin isoforms manifest different affinities to voltage-gated potassium channels of Kv1.x subfamily
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β-Bungarotoxins (β-BuTx), consisting of covalently bound phospholipase A2 subunit (A-chain), a member of group Ia of secretory phospholipases A2, and non-enzymatic subunit (B-chain) structurally related to Kunitz-type protease inhibitors, block presynaptic neuromuscular transmission via a not completely defined mechanism of action. In vivo physiological studies revealed that the B-chain is targeting voltage-gated potassium channels of not identified subtypes. In our work, six β-BuTx isoforms were ...
Added: June 20, 2026
Benchmarking DNA large language models on quadruplexes
Cherednichenko O., Herbert A., Poptsova M., Computational and Structural Biotechnology Journal 2025 Vol. 27 P. 992–1000
Large language models (LLMs) in genomics have successfully predicted various functional genomic elements. While their performance is typically evaluated using genomic benchmark datasets, it remains unclear which LLM is best suited for specific downstream tasks, particularly for generating whole-genome annotations. Current LLMs in genomics fall into three main categories: transformer-based models, long convolution-based models, and state-space models ...
Added: June 19, 2026
Kolmogorov–Arnold networks for genomic tasks
Poptsova M., Briefings in Bioinformatics 2025 Vol. 26 No. 2 P. 1–11
Kolmogorov–Arnold networks (KANs) emerged as a promising alternative for multilayer perceptrons (MLPs) in dense fully connected networks. Multiple attempts have been made to integrate KANs into various deep learning architectures in the domains of computer vision and natural language processing. Integrating KANs into deep learning models for genomic tasks has not been explored. Here, we ...
Added: June 19, 2026
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Declarative process models are widely used in process mining to describe flexible process behavior through sets of constraints. However, models discovered automatically from event logs may contain inconsistent constraints, which can make them difficult to interpret and unusable for execution, conformance checking, or further analysis. Existing methods for consistency analysis either rely on automata-based constructions ...
Added: June 18, 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
Optimizing Computational Infrastructure for Large Language Models in Bioinformatics: A Case Study
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This paper addresses the challenge of efficiently training Large Language Models (LLMs) on large-scale, sparse omics datasets in high-performance computing (HPC) environments. Using over 1000 BED tracks as a representative data source, we propose a method combining interval-based chunked storage, sparse matrix transformation, and parallel data loading, integrated within a PyTorch Lightning training framework. Our ...
Added: May 19, 2026
Natural hazard database from Internet publications: text mining with a large language model
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
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NY: Association for Computing Machinery (ACM), 2026.
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Added: April 23, 2026
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