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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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ЭмоС-15: самоотчётная методика для диагностики ядерного аффекта

Психологический журнал. 2019. Т. 40. № 5. С. 97–106.
Lyusin D.

The article presents the development of the new self-report questionnaire EmoS-15 measuring core affect. Core affect is defined as the key component of any emotional phenomenon, elementary consciously accessible affective feeling not directed at anything. The EmoS-15 is based on the structure model of core affect derived from the Russian data. The model distinguishes three dimensions of core affect, namely positive affect with high activation, negative affect with low activation, and tension. The EmoS-15 consists of three respectively named scales. The questionnaire comprises 15 items each of them being an emotion name. The participant must assess to which extent each item matches her emotional state using Likert format of responses. The EmoS-15 was administered to 303 participants. All scales have satisfactory reliability (Cronbach’s alphas higher than .85); the questionnaire factor structure fits the three-dimensional model. To assess validity, EmoS-15 scales were correlated with personality questionnaires that measure similar psychological constructs (N=83). The first scale yielded the highest correlation (r = .50) with the aggregated score consisting of Diener’s Satisfaction With Life Scale and Lyubomirsky’s Subjective Happiness Scale. The second scale yielded the highest correlation with the Beck Depression Inventory (r = .63) and the third scale with the state scale of Spielberger’s State-Trait Anxiety Inventory (r = .57). This pattern of correlations confirms satisfactory validity of the EmoS-15. The new questionnaire can be applied to a wide array of research and practical tasks including measurement of the actual core affect and emotional state, assessment of the affective background typical for longer time periods, experience sampling, and control of participants’ emotional states during the laboratory experiments.

Research target: Psychology
Language: Russian
Full text
DOI
Keywords: напряжениепсиходиагностикаcore affectpositive affectnegative affecttensionядерный аффектpsychological measurementположительный аффектотрицательный аффект
Publication based on the results of:
Структура эмоциональных состояний (2016)
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