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September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.
September 7, 2026
‘Speech, Facial Expressions, and Gestures Cannot Lie
Would you like to know whether a speaker’s trembling voice or an accidental gesture can give them away? At HSE University in Nizhny Novgorod, researchers are developing an algorithm that analyses speech, facial expressions, and gestures, and determines whether information is truthful with 92% accuracy. The project has applications ranging from forensic examination and bank recruitment to fundamental research. Anna Khomenko, head of the research group and Senior Research Fellow at the Centre for Language and Brain at the HSE Faculty of Humanities in Nizhny Novgorod, explains how students and researchers are working together to create a corpus of video recordings, train a classifier, and prepare to introduce computer vision technology.

 

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Самооценка и самоэффективность как предикторы общей прокрастинации

Психология обучения. 2019. № 4. С. 58–67.
Molchanova O. N., Ракин А. С.

The article analyzes the phenomenon of procrastination, its types, causes and consequences. The article presents the results of empirical research aimed at establishing a number of correlates and predictors of procrastination. The nature of the relationship between self-esteem and self-efficacy with procrastination is analyzed. The results obtained demonstrate that low self-esteem, instability of self-esteem and low level of self-efficacy are predictors of procrastination.

Research target: Psychology
Priority areas: humanitarian
Language: Russian
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Keywords: самоэффективностьself-efficacyпрокрастинацияprocrastinationlow self-esteemunstable self-esteemнизкая самооценканеустойчивая самооценка
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