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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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Имидж бренда некоммерческой организации как фактор благотворительного поведения доноров

Организационная психология. 2018. № 4. С. 111–136.
Kalgina O.

The study evaluates the relationship between charity brand image and donors’ giving behavior. We use qualitative data collected via online-survey (N=97) to elicit significant characteristics of charities as perceived by donors. Based on qualitative findings we design 63 bipolar scales and test our instrument on a sample of donors (those who donated money (N=91) and time (N=101)). Using exploratory factor analysis, we obtain 5 factors explaining 40,9% and 43,5% of variance in the answers, respectively. Factor structure is different for donors and volunteers. Using regressions we show that the five factors predict charitable intentions (repeated giving and recommendations) (R2=0,607 for monetary donators and 0,569 for volunteers). Money donors highly value positive emotions associated with giving, whereas volunteers put more emphasis on smooth operation of the charity. We find that such characteristic as popularity (charity is well-known) is not significantly linked with repeated donations or recommendations. The results indicate that brand-image is an important path of attracting donors. These findings may help managers of charities better tailor their branding campaign by addressing appropriate groups of donors/volunteers. The study focuses on both actual and future giving behavior and utilizes a combination of qualitative and quantitative methods to design and validate the survey instrument.

Research target: Social Sciences Psychology
Language: Russian
Keywords: некоммерческие организацииблаготворительностьбренд-менеджментnonprofit organizationcharityимидж брендаnonprofit marketingнекоммерческий маркетингCharitable givingbrand imagefactors of giving behaviornonprofit brand managementповедение доноровфакторы благотворительного поведения
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