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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.
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.

 

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Социально-экономические факторы смертности от инфекционных заболеваний в российских регионах

Электронный научный журнал "Социальные аспекты здоровья населения". 2021. Т. 67. № 5. Статья 2.
Kolosnitsyna M., Чубаров М. Ю.

Background.  Infectious diseases and mortality are correlated with numerous factors. These factors may be interrelated and act simultaneously, which makes it difficult to assess their impact.

Aim: Based on regression analysis, to identify socio-economic factors of infectious mortality in Russian regions.

Materials and Methods.  We used the data from the Federal State Statistics Service on economic, demographic, ecological, and socio-cultural characteristics of 82 Russian regions (years 2014-2018). We have estimated the regression model of infectious mortality.

Results. Infectious mortality, all other things being equal, is higher in the regions: with a high level of emissions; with a significant external migration; with a larger share of the population living in big cities. Infectious mortality is lower in the regions with a high average per capita income of the population, better housing conditions, a high level of fruit consumption, and a large proportion of university students.

Conclusions. High incomes, good housing conditions, and nutrition, as well as a high level of education of the population of the region, turned out to be significant predictors of low infectious mortality, while the indicators of the health care system of the region are not related to the indicators of mortality. The reduction of infectious mortality will be facilitated by both general economic measures aimed at increasing the income and education of the population and targeted environmental policy measures and control of migration. Special attention should be paid to the infectious situation in poor regions, regions with a high level of urbanization, and a significant share of external migrants in the population.

Research target: Economics and Management
Language: Russian
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Keywords: внешняя миграциядоходы населенияурбанизацияurbanizationчисленность студентоврегионы Россииnumber of studentsрегрессионная модельexternal migrationвыбросы загрязняющих веществpollution Russian regionsincomes of populationregression modelinfectious mortalityfruit consumptionhousing securityинфекционная смертностьпотребление фруктовобеспеченность жильём
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