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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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Covid-19 and financial hardship in London

2021. No. 9/21.
Collado D., Popova D., Richiardi M.
Using UKMOD, the UK tax-benefit microsimulation model, we analyse the impact on Londoners of the Covid-19 crisis, of the emergency policies put in place since March 2020 and of some counterfactual policy options, including the continuation of the £20 weekly uplift in Universal Credit and Working Tax Credit. Our main results can be summarised as follows: 1) The emergency measures introduced by the Government in March 2020 proved very effective at protecting the incomes of Londoners, particularly some of the most disadvantaged groups. 2) Withdrawing the £20 a week uplift to Universal Credit and Working Tax credits will put 130,000 more Londoners in poverty, with some of the most disadvantaged groups, including 60,000 lone parents, being disproportionately affected. The number of Black Londoners living in poverty would grow by 8% compared to 6% for all ethnic groups. 3) Less well-off Londoners will be worst affected, with the poorest 10% experiencing an 8% decrease in their incomes. 4) While Londoners will be more affected than the rest of the country by the withdrawal of the £20 uplift; across the UK, the poorest 10% of people will see their incomes cut by 5%. 5) On the other hand, keeping the £20 a week uplift to Universal Credit and Working Tax credits and going further by removing all the Benefit Caps would cut child poverty in London by 10%, keeping more than 70,000 children out of poverty.
Research target: Sociology (including Demography and Anthropology Economics and Management
Priority areas: economics sociology state and public administration
Language: English
Full text
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Keywords: бедностьincome distributionраспределение доходовmicrosimulationtax-benefit policyмикромоделированиеincome povertyКОВИД-19система налогов и трансфертовCOVID-19
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