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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.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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How Game Features and Treatment-Related Factors Facilitate Generalization in Technology-Based Aphasia Rehabilitation: A Systematic Review

NeuroRehabilitation. 2025. Vol. 56. No. 2. P. 113–131.
Gorshkov G., Buivolova O., Gavrilova E., Dragoy O.

Background

Nowadays, developers offer mobile applications for aphasia treatment. Although their overall effectiveness and acceptance by the target audience was proved, it has not been established what aspects of technology-based aphasia rehabilitation facilitate these improvements and translate into generalization.

Objective

The objectives were to analyze what technology- and treatment-related factors, including treatment dose, intensity and duration, affect treatment efficacy and facilitate generalization.

Methods

The PubMed and ScienceDirect databases were searched in February 2024. The review included experimental articles testing mobile- or computer-based applications for aphasia rehabilitation. Studies were excluded if they described AAC techniques or assistive tools, or focused solely on quality of life. ROB-2 was used to assess risk of bias in the included randomized controlled trials.

Results

Eighteen articles meeting the inclusion criteria were analyzed. The key factors increasing the therapy effect and leading to generalization were automatic feedback, diversity of the tasks employed in the training, longer periods of treatment, and interaction between the user and the clinician.

Conclusions

Technology-based aphasia treatment is an effective therapy tool. Contact with the clinician, simultaneous practice targeted at various language domains and executive functions, as well as feedback, positively influence outcomes. The review, however, has limitations, as it lacks statistical analysis and synthesizes heterogeneous data.

Research target: Psychology
Language: English
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Text on another site
Keywords: rehabilitationреабилитацияафазияgamificationгеймификацияПЛАНШЕТНЫЙ КОМПЬЮТЕРlanguage disordersaphasiaнарушение речи systematic reviewmHealthTablet computers
Publication based on the results of:
Digital support of students’ health-saving behavior: development of a preventive program and its effectiveness evaluation (2024)
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