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News
September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.

 

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МОДИФИЦИРОВАННАЯ ГРАВИТАЦИОННАЯ МОДЕЛЬ ОЦЕНКИ ДОСТУПНОСТИ МЕДИЦИНСКИХ УСЛУГ: ЗАДАЧА, АЛГОРИТМ И РЕАЛИЗАЦИЯ

Прикладная информатика. 2025. Т. 20. № 5 (119). С. 4–21.
Begicheva A., Бегичева С. В.

Territorial inequality in access to healthcare remains a pressing issue for the healthcare system of the Russian Federation. Significant disparities in transport accessibility, staffing levels, and the spatial distribution of medical facilities complicate evidence-based decision-making, especially in regions with uneven population density and fragmented infrastructure. This creates the need for formalized and reproducible approaches to assessing healthcare accessibility that are adapted to regional specificities and suitable for digital implementation. The aim of this study is to develop a methodology for assessing the potential accessibility of medical facilities, based on a modified gravity model and implemented as an algorithm that accounts for travel time, facility capacity, and overlapping service areas. Unlike traditional models such as 2SFCA and classical gravity models, the proposed approach allows for parameter calibration based on empirical data and incorporates territorial competition for healthcare resources. The methodological foundation includes an exponential distance-decay function and dual normalization by total service supply. The novelty of the methodology lies in the integration of these components into a unified, computable index of potential spatial accessibility suitable for scalable digital implementation. The algorithm was developed in the R programming environment using the OSRM routing engine to calculate travel times over the road network. The model was tested using data from the municipalities of Sverdlovsk oblast. The results (R² = 0.252, mean absolute percentage error MAPE < 28%) confirmed the model’s interpretability and practical relevance. The proposed approach can be used for monitoring healthcare accessibility, identifying underserved areas, and informing spatial resource allocation. Moreover, the methodology can be adapted for other types of social infrastructure.

Research target: Health Studies Computer Science
Language: Russian
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Keywords: здравоохранениегравитационная модельterritorial inequalityтерриториальное неравенствоhealthcarespatial analysis gravity modelпространственный анализpotential spatial accessibilityaccessibility indexпотенциальная пространственная доступностьиндекс доступности
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