(Ab)normal Language: HSE Researchers Present Digital Tools for Assessing Mental Health Problems
Often, individuals with neurological or mental disorders exhibit distinctive language patterns. In modern clinical practice, digital tools can play a significant role in supporting language therapy and rehabilitation for persons with language disorders. Additionally, in the future, digital tools could assist healthcare specialists in assessing the severity of symptoms associated with such disorders.
A New Tool Designed to Assess AI Ethics in Medicine Developed at HSE University
A team of researchers at the HSE AI Research Centre has created an index to evaluate the ethical standards of artificial intelligence (AI) systems used in medicine. This tool is designed to minimise potential risks and promote safer development and implementation of AI technologies in medical practice.
Smoking Habit Affects Response to False Feedback
A team of scientists at HSE University, in collaboration with the Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, studied how people respond to deception when under stress and cognitive load. The study revealed that smoking habits interfere with performance on cognitive tasks involving memory and attention and impairs a person’s ability to detect deception. The study findings have been published in Frontiers in Neuroscience.
IDLab Seminar: How Do Popular Psychologists in Russia Present the Concept of Happiness?
On November 1, an online research seminar organized by the international laboratory IDLab took place, during which research assistant Nikita Matkin presented a study on the popularity and content of videos on the topic of "happiness" among Russian psychologists. The seminar gathered students and scholars not only from Perm but also from Moscow, attracting the interest of a wide audience.
Smartphones Not Used for Digital Learning among Russian School Students
Despite the widespread use of smartphones, teachers have not fully integrated them into the teaching and learning process, including for developing students' digital skills. Irina Dvoretskaya, Research Fellow at the HSE Institute of Education, has examined the patterns of mobile device use for learning among students in grades 9 to 11.
Beauty in Details: HSE University and AIRI Scientists Develop a Method for High-Quality Image Editing
Researchers from theHSE AI Research Centre, AIRI, and the University of Bremen have developed a new image editing method based on deep learning—StyleFeatureEditor. This tool allows for precise reproduction of even the smallest details in an image while preserving them during the editing process. With its help, users can easily change hair colour or facial expressions without sacrificing image quality. The results of this three-party collaboration were published at the highly-cited computer vision conference CVPR 2024.
HSE Scientists Have Examined Potential Impact of Nuclear Power on Sustainable Development
Researchers at HSE University have developed a set of mathematical models to predict the impact of nuclear power on the Sustainable Development Index. If the share of nuclear power in the global energy mix increases to between 20% and 25%, the global Sustainable Development Index (SDI) is projected to grow by one-third by 2050. In scenarios where the share of nuclear power grows more slowly, the increase in the SDI is found to be lower. The study has been published in Nuclear Energy and Technology.
Biologists at HSE University Warn of Potential Errors in MicroRNA Overexpression Method
Researchers at HSE University and the RAS Institute of Bioorganic Chemistry have discovered that a common method of studying genes, which relies on the overexpression of microRNAs, can produce inaccurate results. This method is widely used in the study of various pathologies, in particular cancers. Errors in experiments can lead to incorrect conclusions, affecting the diagnosis and treatment of the disease. The study findings have been published in BBA.
Neuroscientists from HSE University Learn to Predict Human Behaviour by Their Facial Expressions
Researchers at the Institute for Cognitive Neuroscience at HSE University are using automatic emotion recognition technologies to study charitable behaviour. In an experiment, scientists presented 45 participants with photographs of dogs in need and invited them to make donations to support these animals. Emotional reactions to the images were determined through facial activity using the FaceReader program. It turned out that the stronger the participants felt sadness and anger, the more money they were willing to donate to charity funds, regardless of their personal financial well-being. The study was published in the journal Heliyon.
Adhesive Tape Helps Create Innovative THz Photodetector
An international team of researchers, including scientists at HSE University and Moscow Pedagogical State University (MPGU), has developed a novel photodetector composed of a thin superconducting film, capable of detecting weak terahertz (THz) radiation. This discovery holds promise for studying objects in space, developing wireless broadband communication systems, and making advancements in spectroscopy. The study has been published in Nano Letters.