Tag "publications"

A Russian-American team of researchers used convolutional neural networks to study high-resolution satellite images of three Siberian landscapes taken at intervals of 10-15 years

Russian coauthors research A. Derkacheva and K. Ermokhina (in the foreground) on their way to the fieldwork site, near Harp, 2018
The neural network analysed nearly a million 12×12 m plots and found that the rate of shrub spread varies from 2.4% to 26.1% per decade, depending on local conditions. The study showed that mature shrubs prefer well-drained slopes, while new colonisation occurs on flatter areas, which opens up opportunities for predicting further shrubification of the Arctic under climate change conditions

HSE Researchers Develop Method to Verify Reliability of Computer-Based Cancer Recurrence Prediction

A "non-random classifier" based on IGFBP6 and ELOVL5 gene expression.
Research by a collaborative team from HSE University's Faculty of Biology and Biotechnology, Moscow State University, and the Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences has been officially published in the international journal Stat. The study addresses a critical challenge in biomedicine: determining whether machine learning algorithms identify genuine biological patterns or merely overfit to random noise in data.

Joint Study by Molecular Physiology Laboratory and Kulakov National Medical Research Center Published in RUDN Journal of Medicine

Monocytes in preeclampsia and normal pregnancy
A research article by a collaborative team from the Molecular Physiology Laboratory at HSE University and the V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology has been published in a leading medical journal. The study presents the first comparative analysis of immune-associated gene expression in classical blood monocytes from women with preeclampsia compared to physiological pregnancy.

HSE Researchers Identify Molecular Markers of Hypoxia in Preeclampsia

Graphical abstract of the research
Researchers at the Molecular Physiology Laboratory of HSE University presented results of a multidisciplinary investigation into preeclampsia, correlating single-cell sequencing data from placental tissue in early-onset preeclampsia with experimental hypoxia induction in cell models. For the first time, gene expression profiles in diseased placental samples were directly compared to the molecular response of trophoblasts subjected to chemical hypoxia induction using a novel oxyquinoline derivative.

Article on Molecular Physiology Laboratory Developments Published in "HSE University Science News"

Placenta-on-a-chip model under a microscope
The official HSE University website has published an article titled "New Models for Disease Research: From Petri Dish to Organs-on-a-Chip," focusing on the work of the Molecular Physiology Laboratory at the Faculty of Biology and Biotechnology in developing innovative approaches to organ-on-chip modeling and researching preeclampsia — one of the most dangerous pregnancy complications.

Top 20 Frontiers of Russian Science: 2024

Top 20 Frontiers of Russian Science: 2024
In the framework of world science structure mapping the HSE University Institute for Statistical Studies and Economics of Knowledge (ISSEK) for the first time has identified the most relevant for Russia research and development topics using a system of intelligent analysis of big data iFORA.

Mathematicians from HSE University–Nizhny Novgorod Solve 57-Year-Old Problem

Mathematicians from HSE University–Nizhny Novgorod Solve 57-Year-Old Problem
In 1968, American mathematician Paul Chernoff proposed a theorem that allows for the approximate calculation of operator semigroups, complex but useful mathematical constructions that describe how the states of multiparticle systems change over time. The method is based on a sequence of approximations—steps which make the result increasingly accurate. But until now it was unclear how quickly these steps lead to the result and what exactly influences this speed. This problem has been fully solved for the first time by mathematicians Oleg Galkin and Ivan Remizov from the Nizhny Novgorod campus of HSE University. Their work paves the way for more reliable calculations in various fields of science. The results were published in the Israel Journal of Mathematics (Q1).

New Clustering Method Simplifies Analysis of Large Data Sets

New Clustering Method Simplifies Analysis of Large Data Sets
Researchers from HSE University and the Institute of Control Sciences of the Russian Academy of Sciences have proposed a new method of data analysis: tunnel clustering. It allows for the rapid identification of groups of similar objects and requires fewer computational resources than traditional methods. Depending on the data configuration, the algorithm can operate dozens of times faster than its counterparts. Thestudy was published in the journal Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia.

New Publication by ILDT Researchers Explores Technological Convergence Across Russian Regions

Aysylu Ataeva, Research fellow of the International Laboratory for Digital Transformation in Public Administration, and Anna Klimentieva have published a new article titled "Process Approach to Assessing Technological Convergence of Russian Regions: Dynamics of Innovation Gap" in the journal Voprosy ekonomiki (No. 5, 2025).

An article by Alexander Poddyakov has been published.

An article by Alexander Poddiakov titled "Intransitively winning chess players' positions" has been published in the journal Doklady Mathematics.